From fc52035ce89c1f9525791067f699434464cbdfe3 Mon Sep 17 00:00:00 2001
From: Dave Walker <david.walker5@icloud.com>
Date: Thu, 21 May 2026 13:40:36 +0100
Subject: [PATCH 1/3] Added all Abingdon butterfly species with sufficient data
 to model

---
 .../analysis/activity_heatmap.png             |   Bin 0 -> 209141 bytes
 .../analysis/calendar_activity.json           |   878 +
 .../analysis/cluster_analysis.json            |  4625 +++
 .../analysis/cluster_dendrogram.png           |   Bin 0 -> 251655 bytes
 .../analysis/cluster_summary.txt              |   244 +
 .../analysis/extracted_clusters.json          |   136 +
 .../analysis/feature_matrix.json              |  2363 ++
 .../analysis/species_similarity.json          | 26140 ++++++++++++++++
 .../analysis/species_similarity.txt           |   368 +
 .../analysis/species_similarity_heatmap.png   |   Bin 0 -> 1253380 bytes
 .../black_headed_gull_classification.json     |   105 +
 .../resident/black_headed_gull_consensus.json |    42 +
 .../resident/black_headed_gull_observed.csv   |    13 +
 .../resident/black_headed_gull_parameters.csv |   201 +
 .../resident/black_headed_gull_simulated.csv  |   123 +
 .../resident/black_headed_gull_simulated.png  |   Bin 0 -> 32564 bytes
 .../black_headed_gull_synthesised.csv         |    13 +
 .../black_headed_gull_synthesised.png         |   Bin 0 -> 80168 bytes
 .../resident/blackbird_classification.json    |   105 +
 .../resident/blackbird_consensus.json         |    42 +
 .../resident/blackbird_observed.csv           |    13 +
 .../resident/blackbird_parameters.csv         |   201 +
 .../resident/blackbird_simulated.csv          |   123 +
 .../resident/blackbird_simulated.png          |   Bin 0 -> 32790 bytes
 .../resident/blackbird_synthesised.csv        |    13 +
 .../resident/blackbird_synthesised.png        |   Bin 0 -> 80022 bytes
 .../resident/blackcap_classification.json     |   105 +
 .../resident/blackcap_consensus.json          |    42 +
 .../resident/blackcap_observed.csv            |    13 +
 .../resident/blackcap_parameters.csv          |   201 +
 .../resident/blackcap_simulated.csv           |   123 +
 .../resident/blackcap_simulated.png           |   Bin 0 -> 32418 bytes
 .../resident/blackcap_synthesised.csv         |    13 +
 .../resident/blackcap_synthesised.png         |   Bin 0 -> 73902 bytes
 .../resident/blue_tit_classification.json     |   105 +
 .../resident/blue_tit_consensus.json          |    42 +
 .../resident/blue_tit_observed.csv            |    13 +
 .../resident/blue_tit_parameters.csv          |   201 +
 .../resident/blue_tit_simulated.csv           |   123 +
 .../resident/blue_tit_simulated.png           |   Bin 0 -> 31875 bytes
 .../resident/blue_tit_synthesised.csv         |    13 +
 .../resident/blue_tit_synthesised.png         |   Bin 0 -> 73093 bytes
 .../resident/buzzard_classification.json      |   105 +
 .../resident/buzzard_consensus.json           |    42 +
 .../resident/buzzard_observed.csv             |    13 +
 .../resident/buzzard_parameters.csv           |   201 +
 .../resident/buzzard_simulated.csv            |   123 +
 .../resident/buzzard_simulated.png            |   Bin 0 -> 33238 bytes
 .../resident/buzzard_synthesised.csv          |    13 +
 .../resident/buzzard_synthesised.png          |   Bin 0 -> 80334 bytes
 .../resident/canada_goose_classification.json |   105 +
 .../resident/canada_goose_consensus.json      |    42 +
 .../resident/canada_goose_observed.csv        |    13 +
 .../resident/canada_goose_parameters.csv      |   201 +
 .../resident/canada_goose_simulated.csv       |   123 +
 .../resident/canada_goose_simulated.png       |   Bin 0 -> 32862 bytes
 .../resident/canada_goose_synthesised.csv     |    13 +
 .../resident/canada_goose_synthesised.png     |   Bin 0 -> 79160 bytes
 .../resident/chaffinch_classification.json    |   105 +
 .../resident/chaffinch_consensus.json         |    42 +
 .../resident/chaffinch_observed.csv           |    13 +
 .../resident/chaffinch_parameters.csv         |   201 +
 .../resident/chaffinch_simulated.csv          |   123 +
 .../resident/chaffinch_simulated.png          |   Bin 0 -> 31468 bytes
 .../resident/chaffinch_synthesised.csv        |    13 +
 .../resident/chaffinch_synthesised.png        |   Bin 0 -> 79995 bytes
 .../resident/coal_tit_classification.json     |   105 +
 .../resident/coal_tit_consensus.json          |    42 +
 .../resident/coal_tit_observed.csv            |    13 +
 .../resident/coal_tit_parameters.csv          |   201 +
 .../resident/coal_tit_simulated.csv           |   123 +
 .../resident/coal_tit_simulated.png           |   Bin 0 -> 32911 bytes
 .../resident/coal_tit_synthesised.csv         |    13 +
 .../resident/coal_tit_synthesised.png         |   Bin 0 -> 80390 bytes
 .../collared_dove_classification.json         |   105 +
 .../resident/collared_dove_consensus.json     |    42 +
 .../resident/collared_dove_observed.csv       |    13 +
 .../resident/collared_dove_parameters.csv     |   201 +
 .../resident/collared_dove_simulated.csv      |   123 +
 .../resident/collared_dove_simulated.png      |   Bin 0 -> 34167 bytes
 .../resident/collared_dove_synthesised.csv    |    13 +
 .../resident/collared_dove_synthesised.png    |   Bin 0 -> 82210 bytes
 .../common_kestrel_classification.json        |   105 +
 .../resident/common_kestrel_consensus.json    |    42 +
 .../resident/common_kestrel_observed.csv      |    13 +
 .../resident/common_kestrel_parameters.csv    |   201 +
 .../resident/common_kestrel_simulated.csv     |   123 +
 .../resident/common_kestrel_simulated.png     |   Bin 0 -> 33327 bytes
 .../resident/common_kestrel_synthesised.csv   |    13 +
 .../resident/common_kestrel_synthesised.png   |   Bin 0 -> 89184 bytes
 .../common_starling_classification.json       |   105 +
 .../resident/common_starling_consensus.json   |    42 +
 .../resident/common_starling_observed.csv     |    13 +
 .../resident/common_starling_parameters.csv   |   201 +
 .../resident/common_starling_simulated.csv    |   123 +
 .../resident/common_starling_simulated.png    |   Bin 0 -> 32987 bytes
 .../resident/common_starling_synthesised.csv  |    13 +
 .../resident/common_starling_synthesised.png  |   Bin 0 -> 78015 bytes
 .../resident/coot_classification.json         |   105 +
 .../resident/coot_consensus.json              |    42 +
 .../abingdon-birds/resident/coot_observed.csv |    13 +
 .../resident/coot_parameters.csv              |   201 +
 .../resident/coot_simulated.csv               |   123 +
 .../resident/coot_simulated.png               |   Bin 0 -> 30503 bytes
 .../resident/coot_synthesised.csv             |    13 +
 .../resident/coot_synthesised.png             |   Bin 0 -> 76816 bytes
 .../resident/cormorant_classification.json    |   105 +
 .../resident/cormorant_consensus.json         |    42 +
 .../resident/cormorant_observed.csv           |    13 +
 .../resident/cormorant_parameters.csv         |   201 +
 .../resident/cormorant_simulated.csv          |   123 +
 .../resident/cormorant_simulated.png          |   Bin 0 -> 30214 bytes
 .../resident/cormorant_synthesised.csv        |    13 +
 .../resident/cormorant_synthesised.png        |   Bin 0 -> 72991 bytes
 .../resident/crow_classification.json         |   105 +
 .../resident/crow_consensus.json              |    42 +
 .../abingdon-birds/resident/crow_observed.csv |    13 +
 .../resident/crow_parameters.csv              |   201 +
 .../resident/crow_simulated.csv               |   123 +
 .../resident/crow_simulated.png               |   Bin 0 -> 31970 bytes
 .../resident/crow_synthesised.csv             |    13 +
 .../resident/crow_synthesised.png             |   Bin 0 -> 79712 bytes
 .../resident/dunnock_classification.json      |   105 +
 .../resident/dunnock_consensus.json           |    42 +
 .../resident/dunnock_observed.csv             |    13 +
 .../resident/dunnock_parameters.csv           |   201 +
 .../resident/dunnock_simulated.csv            |   123 +
 .../resident/dunnock_simulated.png            |   Bin 0 -> 33219 bytes
 .../resident/dunnock_synthesised.csv          |    13 +
 .../resident/dunnock_synthesised.png          |   Bin 0 -> 76566 bytes
 .../resident/goldfinch_classification.json    |   105 +
 .../resident/goldfinch_consensus.json         |    42 +
 .../resident/goldfinch_observed.csv           |    13 +
 .../resident/goldfinch_parameters.csv         |   201 +
 .../resident/goldfinch_simulated.csv          |   123 +
 .../resident/goldfinch_simulated.png          |   Bin 0 -> 31634 bytes
 .../resident/goldfinch_synthesised.csv        |    13 +
 .../resident/goldfinch_synthesised.png        |   Bin 0 -> 81018 bytes
 .../resident/great_tit_classification.json    |   105 +
 .../resident/great_tit_consensus.json         |    42 +
 .../resident/great_tit_observed.csv           |    13 +
 .../resident/great_tit_parameters.csv         |   201 +
 .../resident/great_tit_simulated.csv          |   123 +
 .../resident/great_tit_simulated.png          |   Bin 0 -> 33464 bytes
 .../resident/great_tit_synthesised.csv        |    13 +
 .../resident/great_tit_synthesised.png        |   Bin 0 -> 76813 bytes
 .../resident/greenfinch_classification.json   |   105 +
 .../resident/greenfinch_consensus.json        |    42 +
 .../resident/greenfinch_observed.csv          |    13 +
 .../resident/greenfinch_parameters.csv        |   201 +
 .../resident/greenfinch_simulated.csv         |   123 +
 .../resident/greenfinch_simulated.png         |   Bin 0 -> 32335 bytes
 .../resident/greenfinch_synthesised.csv       |    13 +
 .../resident/greenfinch_synthesised.png       |   Bin 0 -> 79257 bytes
 .../resident/grey_heron_classification.json   |   105 +
 .../resident/grey_heron_consensus.json        |    42 +
 .../resident/grey_heron_observed.csv          |    13 +
 .../resident/grey_heron_parameters.csv        |   201 +
 .../resident/grey_heron_simulated.csv         |   123 +
 .../resident/grey_heron_simulated.png         |   Bin 0 -> 33332 bytes
 .../resident/grey_heron_synthesised.csv       |    13 +
 .../resident/grey_heron_synthesised.png       |   Bin 0 -> 80201 bytes
 .../greylag_goose_classification.json         |   105 +
 .../resident/greylag_goose_consensus.json     |    42 +
 .../resident/greylag_goose_observed.csv       |    13 +
 .../resident/greylag_goose_parameters.csv     |   201 +
 .../resident/greylag_goose_simulated.csv      |   123 +
 .../resident/greylag_goose_simulated.png      |   Bin 0 -> 34267 bytes
 .../resident/greylag_goose_synthesised.csv    |    13 +
 .../resident/greylag_goose_synthesised.png    |   Bin 0 -> 81526 bytes
 .../resident/herring_gull_classification.json |   105 +
 .../resident/herring_gull_consensus.json      |    42 +
 .../resident/herring_gull_observed.csv        |    13 +
 .../resident/herring_gull_parameters.csv      |   201 +
 .../resident/herring_gull_simulated.csv       |   123 +
 .../resident/herring_gull_simulated.png       |   Bin 0 -> 31815 bytes
 .../resident/herring_gull_synthesised.csv     |    13 +
 .../resident/herring_gull_synthesised.png     |   Bin 0 -> 85824 bytes
 .../house_sparrow_classification.json         |   105 +
 .../resident/house_sparrow_consensus.json     |    42 +
 .../resident/house_sparrow_observed.csv       |    13 +
 .../resident/house_sparrow_parameters.csv     |   201 +
 .../resident/house_sparrow_simulated.csv      |   123 +
 .../resident/house_sparrow_simulated.png      |   Bin 0 -> 33171 bytes
 .../resident/house_sparrow_synthesised.csv    |    13 +
 .../resident/house_sparrow_synthesised.png    |   Bin 0 -> 79523 bytes
 .../resident/jackdaw_classification.json      |   105 +
 .../resident/jackdaw_consensus.json           |    42 +
 .../resident/jackdaw_observed.csv             |    13 +
 .../resident/jackdaw_parameters.csv           |   201 +
 .../resident/jackdaw_simulated.csv            |   123 +
 .../resident/jackdaw_simulated.png            |   Bin 0 -> 33137 bytes
 .../resident/jackdaw_synthesised.csv          |    13 +
 .../resident/jackdaw_synthesised.png          |   Bin 0 -> 86431 bytes
 .../resident/jay_classification.json          |   105 +
 .../resident/jay_consensus.json               |    42 +
 .../abingdon-birds/resident/jay_observed.csv  |    13 +
 .../resident/jay_parameters.csv               |   201 +
 .../abingdon-birds/resident/jay_simulated.csv |   123 +
 .../abingdon-birds/resident/jay_simulated.png |   Bin 0 -> 29938 bytes
 .../resident/jay_synthesised.csv              |    13 +
 .../resident/jay_synthesised.png              |   Bin 0 -> 75686 bytes
 .../long_tailed_tit_classification.json       |   105 +
 .../resident/long_tailed_tit_consensus.json   |    42 +
 .../resident/long_tailed_tit_observed.csv     |    13 +
 .../resident/long_tailed_tit_parameters.csv   |   201 +
 .../resident/long_tailed_tit_simulated.csv    |   123 +
 .../resident/long_tailed_tit_simulated.png    |   Bin 0 -> 30224 bytes
 .../resident/long_tailed_tit_synthesised.csv  |    13 +
 .../resident/long_tailed_tit_synthesised.png  |   Bin 0 -> 82105 bytes
 .../resident/magpie_classification.json       |   105 +
 .../resident/magpie_consensus.json            |    42 +
 .../resident/magpie_observed.csv              |    13 +
 .../resident/magpie_parameters.csv            |   201 +
 .../resident/magpie_simulated.csv             |   123 +
 .../resident/magpie_simulated.png             |   Bin 0 -> 32778 bytes
 .../resident/magpie_synthesised.csv           |    13 +
 .../resident/magpie_synthesised.png           |   Bin 0 -> 76427 bytes
 .../resident/mallard_classification.json      |   105 +
 .../resident/mallard_consensus.json           |    42 +
 .../resident/mallard_observed.csv             |    13 +
 .../resident/mallard_parameters.csv           |   201 +
 .../resident/mallard_simulated.csv            |   123 +
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 .../resident/mallard_synthesised.csv          |    13 +
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 .../mistle_thrush_classification.json         |   105 +
 .../resident/mistle_thrush_consensus.json     |    42 +
 .../resident/mistle_thrush_observed.csv       |    13 +
 .../resident/mistle_thrush_parameters.csv     |   201 +
 .../resident/mistle_thrush_simulated.csv      |   123 +
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 .../resident/mistle_thrush_synthesised.csv    |    13 +
 .../resident/mistle_thrush_synthesised.png    |   Bin 0 -> 73261 bytes
 .../resident/mute_swan_classification.json    |   105 +
 .../resident/mute_swan_consensus.json         |    42 +
 .../resident/mute_swan_observed.csv           |    13 +
 .../resident/mute_swan_parameters.csv         |   201 +
 .../resident/mute_swan_simulated.csv          |   123 +
 .../resident/mute_swan_simulated.png          |   Bin 0 -> 31464 bytes
 .../resident/mute_swan_synthesised.csv        |    13 +
 .../resident/mute_swan_synthesised.png        |   Bin 0 -> 77775 bytes
 .../resident/pheasant_classification.json     |   105 +
 .../resident/pheasant_consensus.json          |    42 +
 .../resident/pheasant_observed.csv            |    13 +
 .../resident/pheasant_parameters.csv          |   201 +
 .../resident/pheasant_simulated.csv           |   123 +
 .../resident/pheasant_simulated.png           |   Bin 0 -> 33460 bytes
 .../resident/pheasant_synthesised.csv         |    13 +
 .../resident/pheasant_synthesised.png         |   Bin 0 -> 80669 bytes
 .../resident/pied_wagtail_classification.json |   105 +
 .../resident/pied_wagtail_consensus.json      |    42 +
 .../resident/pied_wagtail_observed.csv        |    13 +
 .../resident/pied_wagtail_parameters.csv      |   201 +
 .../resident/pied_wagtail_simulated.csv       |   123 +
 .../resident/pied_wagtail_simulated.png       |   Bin 0 -> 33611 bytes
 .../resident/pied_wagtail_synthesised.csv     |    13 +
 .../resident/pied_wagtail_synthesised.png     |   Bin 0 -> 86583 bytes
 .../resident/red_kite_classification.json     |   105 +
 .../resident/red_kite_consensus.json          |    42 +
 .../resident/red_kite_observed.csv            |    13 +
 .../resident/red_kite_parameters.csv          |   201 +
 .../resident/red_kite_simulated.csv           |   123 +
 .../resident/red_kite_simulated.png           |   Bin 0 -> 32277 bytes
 .../resident/red_kite_synthesised.csv         |    13 +
 .../resident/red_kite_synthesised.png         |   Bin 0 -> 77800 bytes
 .../resident/robin_classification.json        |   105 +
 .../resident/robin_consensus.json             |    42 +
 .../resident/robin_observed.csv               |    13 +
 .../resident/robin_parameters.csv             |   201 +
 .../resident/robin_simulated.csv              |   123 +
 .../resident/robin_simulated.png              |   Bin 0 -> 31345 bytes
 .../resident/robin_synthesised.csv            |    13 +
 .../resident/robin_synthesised.png            |   Bin 0 -> 77423 bytes
 .../resident/rook_classification.json         |   105 +
 .../resident/rook_consensus.json              |    42 +
 .../abingdon-birds/resident/rook_observed.csv |    13 +
 .../resident/rook_parameters.csv              |   201 +
 .../resident/rook_simulated.csv               |   123 +
 .../resident/rook_simulated.png               |   Bin 0 -> 33467 bytes
 .../resident/rook_synthesised.csv             |    13 +
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 .../resident/skylark_classification.json      |   105 +
 .../resident/skylark_consensus.json           |    42 +
 .../resident/skylark_observed.csv             |    13 +
 .../resident/skylark_parameters.csv           |   201 +
 .../resident/skylark_simulated.csv            |   123 +
 .../resident/skylark_simulated.png            |   Bin 0 -> 32194 bytes
 .../resident/skylark_synthesised.csv          |    13 +
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 .../resident/song_thrush_classification.json  |   105 +
 .../resident/song_thrush_consensus.json       |    42 +
 .../resident/song_thrush_observed.csv         |    13 +
 .../resident/song_thrush_parameters.csv       |   201 +
 .../resident/song_thrush_simulated.csv        |   123 +
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 .../resident/song_thrush_synthesised.csv      |    13 +
 .../resident/song_thrush_synthesised.png      |   Bin 0 -> 77833 bytes
 .../resident/woodpigeon_classification.json   |   105 +
 .../resident/woodpigeon_consensus.json        |    42 +
 .../resident/woodpigeon_observed.csv          |    13 +
 .../resident/woodpigeon_parameters.csv        |   201 +
 .../resident/woodpigeon_simulated.csv         |   123 +
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 .../resident/woodpigeon_synthesised.csv       |    13 +
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 .../resident/wren_classification.json         |   105 +
 .../resident/wren_consensus.json              |    42 +
 .../abingdon-birds/resident/wren_observed.csv |    13 +
 .../resident/wren_parameters.csv              |   201 +
 .../resident/wren_simulated.csv               |   123 +
 .../resident/wren_simulated.png               |   Bin 0 -> 31403 bytes
 .../resident/wren_synthesised.csv             |    13 +
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 .../seasonal/chiffchaff_classification.json   |    49 +
 .../seasonal/chiffchaff_consensus.json        |    13 +
 .../seasonal/chiffchaff_observed.csv          |    13 +
 .../seasonal/chiffchaff_parameters.csv        |   201 +
 .../seasonal/chiffchaff_simulated.csv         |   123 +
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 .../seasonal/chiffchaff_synthesised.csv       |    13 +
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 .../seasonal/cuckoo_classification.json       |    49 +
 .../seasonal/cuckoo_consensus.json            |    13 +
 .../seasonal/cuckoo_observed.csv              |    13 +
 .../seasonal/cuckoo_parameters.csv            |   201 +
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 .../seasonal/cuckoo_synthesised.csv           |    13 +
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 .../garden_warbler_classification.json        |    49 +
 .../seasonal/garden_warbler_consensus.json    |    13 +
 .../seasonal/garden_warbler_observed.csv      |    13 +
 .../seasonal/garden_warbler_parameters.csv    |   201 +
 .../seasonal/garden_warbler_simulated.csv     |   123 +
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 .../seasonal/garden_warbler_synthesised.csv   |    13 +
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 .../seasonal/reed_warbler_classification.json |    49 +
 .../seasonal/reed_warbler_consensus.json      |    13 +
 .../seasonal/reed_warbler_observed.csv        |    13 +
 .../seasonal/reed_warbler_parameters.csv      |   201 +
 .../seasonal/reed_warbler_simulated.csv       |   123 +
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 .../seasonal/reed_warbler_synthesised.csv     |    13 +
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 .../seasonal/swallow_classification.json      |    49 +
 .../seasonal/swallow_consensus.json           |    13 +
 .../seasonal/swallow_observed.csv             |    13 +
 .../seasonal/swallow_parameters.csv           |   201 +
 .../seasonal/swallow_simulated.csv            |   123 +
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 .../seasonal/swallow_synthesised.csv          |    13 +
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 .../seasonal/swift_classification.json        |    49 +
 .../seasonal/swift_consensus.json             |    13 +
 .../seasonal/swift_observed.csv               |    13 +
 .../seasonal/swift_parameters.csv             |   201 +
 .../seasonal/swift_simulated.csv              |   123 +
 .../seasonal/swift_simulated.png              |   Bin 0 -> 28806 bytes
 .../seasonal/swift_synthesised.csv            |    13 +
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 .../seasonal/whitethroat_classification.json  |    49 +
 .../seasonal/whitethroat_consensus.json       |    13 +
 .../seasonal/whitethroat_observed.csv         |    13 +
 .../seasonal/whitethroat_parameters.csv       |   201 +
 .../seasonal/whitethroat_simulated.csv        |   123 +
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 .../seasonal/whitethroat_synthesised.csv      |    13 +
 .../seasonal/whitethroat_synthesised.png      |   Bin 0 -> 62942 bytes
 .../winter/redwing_classification.json        |    82 +
 .../winter/redwing_consensus.json             |    17 +
 .../winter/redwing_observed.csv               |    13 +
 .../winter/redwing_parameters.csv             |   201 +
 .../winter/redwing_simulated.csv              |   123 +
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 .../winter/redwing_synthesised.csv            |    13 +
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 378 files changed, 56973 insertions(+)
 create mode 100644 modelling/data/abingdon-birds/analysis/activity_heatmap.png
 create mode 100644 modelling/data/abingdon-birds/analysis/calendar_activity.json
 create mode 100644 modelling/data/abingdon-birds/analysis/cluster_analysis.json
 create mode 100644 modelling/data/abingdon-birds/analysis/cluster_dendrogram.png
 create mode 100644 modelling/data/abingdon-birds/analysis/cluster_summary.txt
 create mode 100644 modelling/data/abingdon-birds/analysis/extracted_clusters.json
 create mode 100644 modelling/data/abingdon-birds/analysis/feature_matrix.json
 create mode 100644 modelling/data/abingdon-birds/analysis/species_similarity.json
 create mode 100644 modelling/data/abingdon-birds/analysis/species_similarity.txt
 create mode 100644 modelling/data/abingdon-birds/analysis/species_similarity_heatmap.png
 create mode 100644 modelling/data/abingdon-birds/resident/black_headed_gull_classification.json
 create mode 100644 modelling/data/abingdon-birds/resident/black_headed_gull_consensus.json
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diff --git a/modelling/data/abingdon-birds/analysis/calendar_activity.json b/modelling/data/abingdon-birds/analysis/calendar_activity.json
new file mode 100644
index 0000000..0054acc
--- /dev/null
+++ b/modelling/data/abingdon-birds/analysis/calendar_activity.json
@@ -0,0 +1,878 @@
+{
+  "schema_version": "seasonal-ecological-calendar-activity/v1",
+  "source_cluster_schema_version": "seasonal-ecological-calendar-clusters/v1",
+  "n_clusters": 10,
+  "normalisation": {
+    "method": "species_max",
+    "description": "Each species is normalised to its own maximum synthesised value before cluster-level monthly aggregation.",
+    "value_column": "synthesised"
+  },
+  "clusters": [
+    {
+      "cluster_id": 1,
+      "calendar_label": "Redwing neighbourhood",
+      "description": "Single-species cluster containing Redwing, mainly representing winter visitor with autumn arrival component. The defining pattern is a winter peak around January, a moderate autumn component, moderate summer suppression, and slow arrival fast departure response dynamics. Its defining traits include year wrapping winter presence, core winter winter peak, and moderate autumn component. Compared with the full species set, autumn to winter weight ratio is higher than the whole-set average and decay to growth ratio is higher than the whole-set average.",
+      "n_species": 1,
+      "species": [
+        "Redwing"
+      ],
+      "monthly_activity": [
+        {
+          "month": 1,
+          "month_name": "January",
+          "mean_activity": 1.0,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 2,
+          "month_name": "February",
+          "mean_activity": 0.98083,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 3,
+          "month_name": "March",
+          "mean_activity": 0.656166,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 4,
+          "month_name": "April",
+          "mean_activity": 0.241796,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 5,
+          "month_name": "May",
+          "mean_activity": 0.028644,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 6,
+          "month_name": "June",
+          "mean_activity": 0.002457,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 7,
+          "month_name": "July",
+          "mean_activity": 0.000211,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 8,
+          "month_name": "August",
+          "mean_activity": 1.8e-05,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 9,
+          "month_name": "September",
+          "mean_activity": 0.015724,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 10,
+          "month_name": "October",
+          "mean_activity": 0.114512,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 11,
+          "month_name": "November",
+          "mean_activity": 0.327539,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 12,
+          "month_name": "December",
+          "mean_activity": 0.631702,
+          "n_species_contributing": 1
+        }
+      ]
+    },
+    {
+      "cluster_id": 2,
+      "calendar_label": "Swallow neighbourhood",
+      "description": "Single-species cluster containing Swallow, mainly representing extended spring seasonal presence. The fitted active window runs roughly from April to October, with a mean peak around May, and and an average width of 6.2 months. It is characterised by very broad season and sharp active window. Its defining traits include spring peak, very broad season, and sharp seasonal window. Compared with the full species set, season end month is higher than the whole-set average and season width months is higher than the whole-set average.",
+      "n_species": 1,
+      "species": [
+        "Swallow"
+      ],
+      "monthly_activity": [
+        {
+          "month": 1,
+          "month_name": "January",
+          "mean_activity": 0.0,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 2,
+          "month_name": "February",
+          "mean_activity": 1e-06,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 3,
+          "month_name": "March",
+          "mean_activity": 0.004969,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 4,
+          "month_name": "April",
+          "mean_activity": 0.433959,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 5,
+          "month_name": "May",
+          "mean_activity": 1.0,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 6,
+          "month_name": "June",
+          "mean_activity": 0.876141,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 7,
+          "month_name": "July",
+          "mean_activity": 0.451118,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 8,
+          "month_name": "August",
+          "mean_activity": 0.299274,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 9,
+          "month_name": "September",
+          "mean_activity": 0.165137,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 10,
+          "month_name": "October",
+          "mean_activity": 0.034155,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 11,
+          "month_name": "November",
+          "mean_activity": 8.1e-05,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 12,
+          "month_name": "December",
+          "mean_activity": 0.0,
+          "n_species_contributing": 1
+        }
+      ]
+    },
+    {
+      "cluster_id": 3,
+      "calendar_label": "Cuckoo neighbourhood",
+      "description": "Single-species cluster containing Cuckoo, mainly representing narrow spring seasonal presence. The fitted active window runs roughly from April to June, with a mean peak around May, and and an average width of 1.8 months. It is characterised by narrow season and sharp active window. Its defining traits include spring peak, narrow season, and sharp seasonal window. Compared with the full species set, fit score is lower than the whole-set average and season width months is lower than the whole-set average.",
+      "n_species": 1,
+      "species": [
+        "Cuckoo"
+      ],
+      "monthly_activity": [
+        {
+          "month": 1,
+          "month_name": "January",
+          "mean_activity": 0.0,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 2,
+          "month_name": "February",
+          "mean_activity": 0.0,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 3,
+          "month_name": "March",
+          "mean_activity": 0.000255,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 4,
+          "month_name": "April",
+          "mean_activity": 0.239647,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 5,
+          "month_name": "May",
+          "mean_activity": 1.0,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 6,
+          "month_name": "June",
+          "mean_activity": 0.377455,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 7,
+          "month_name": "July",
+          "mean_activity": 0.000353,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 8,
+          "month_name": "August",
+          "mean_activity": 0.0,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 9,
+          "month_name": "September",
+          "mean_activity": 0.0,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 10,
+          "month_name": "October",
+          "mean_activity": 0.0,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 11,
+          "month_name": "November",
+          "mean_activity": 0.0,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 12,
+          "month_name": "December",
+          "mean_activity": 0.0,
+          "n_species_contributing": 1
+        }
+      ]
+    },
+    {
+      "cluster_id": 4,
+      "calendar_label": "Moderate Spring Seasonal Presence",
+      "description": "Cluster of 2 species, mainly representing moderate spring seasonal presence. The fitted active window runs roughly from April to June, with a mean peak around May, and and an average width of 2.6 months. It is characterised by moderate season and moderate active window. Common high-support traits include spring peak, moderate season, and moderate seasonal window. Compared with the full species set, fit score is lower than the whole-set average and season width months is lower than the whole-set average.",
+      "n_species": 2,
+      "species": [
+        "Reed Warbler",
+        "Whitethroat"
+      ],
+      "monthly_activity": [
+        {
+          "month": 1,
+          "month_name": "January",
+          "mean_activity": 1e-06,
+          "n_species_contributing": 2
+        },
+        {
+          "month": 2,
+          "month_name": "February",
+          "mean_activity": 0.000928,
+          "n_species_contributing": 2
+        },
+        {
+          "month": 3,
+          "month_name": "March",
+          "mean_activity": 0.146494,
+          "n_species_contributing": 2
+        },
+        {
+          "month": 4,
+          "month_name": "April",
+          "mean_activity": 0.622208,
+          "n_species_contributing": 2
+        },
+        {
+          "month": 5,
+          "month_name": "May",
+          "mean_activity": 0.783392,
+          "n_species_contributing": 2
+        },
+        {
+          "month": 6,
+          "month_name": "June",
+          "mean_activity": 0.308263,
+          "n_species_contributing": 2
+        },
+        {
+          "month": 7,
+          "month_name": "July",
+          "mean_activity": 0.007629,
+          "n_species_contributing": 2
+        },
+        {
+          "month": 8,
+          "month_name": "August",
+          "mean_activity": 4e-06,
+          "n_species_contributing": 2
+        },
+        {
+          "month": 9,
+          "month_name": "September",
+          "mean_activity": 0.0,
+          "n_species_contributing": 2
+        },
+        {
+          "month": 10,
+          "month_name": "October",
+          "mean_activity": 0.0,
+          "n_species_contributing": 2
+        },
+        {
+          "month": 11,
+          "month_name": "November",
+          "mean_activity": 0.0,
+          "n_species_contributing": 2
+        },
+        {
+          "month": 12,
+          "month_name": "December",
+          "mean_activity": 0.0,
+          "n_species_contributing": 2
+        }
+      ]
+    },
+    {
+      "cluster_id": 5,
+      "calendar_label": "Swift neighbourhood",
+      "description": "Single-species cluster containing Swift, mainly representing extended summer seasonal presence. The fitted active window runs roughly from May to September, with a mean peak around June, and and an average width of 4.2 months. It is characterised by broad season and moderate active window. Its defining traits include summer peak, broad season, and moderate seasonal window. Compared with the full species set, season midpoint month is higher than the whole-set average and season end month is higher than the whole-set average.",
+      "n_species": 1,
+      "species": [
+        "Swift"
+      ],
+      "monthly_activity": [
+        {
+          "month": 1,
+          "month_name": "January",
+          "mean_activity": 0.0,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 2,
+          "month_name": "February",
+          "mean_activity": 0.0,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 3,
+          "month_name": "March",
+          "mean_activity": 2e-06,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 4,
+          "month_name": "April",
+          "mean_activity": 0.005551,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 5,
+          "month_name": "May",
+          "mean_activity": 0.444666,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 6,
+          "month_name": "June",
+          "mean_activity": 1.0,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 7,
+          "month_name": "July",
+          "mean_activity": 0.545246,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 8,
+          "month_name": "August",
+          "mean_activity": 0.284862,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 9,
+          "month_name": "September",
+          "mean_activity": 0.08538,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 10,
+          "month_name": "October",
+          "mean_activity": 0.000295,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 11,
+          "month_name": "November",
+          "mean_activity": 0.0,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 12,
+          "month_name": "December",
+          "mean_activity": 0.0,
+          "n_species_contributing": 1
+        }
+      ]
+    },
+    {
+      "cluster_id": 6,
+      "calendar_label": "Extended Spring Seasonal Presence",
+      "description": "Cluster of 2 species, mainly representing extended spring seasonal presence. The fitted active window runs roughly from March to July, with a mean peak around April, and and an average width of 4.4 months. It is characterised by broad season and sharp active window. Common high-support traits include broad season, sharp seasonal window, and moderate post peak decline. Compared with the full species set, fit score is lower than the whole-set average and season start month is lower than the whole-set average.",
+      "n_species": 2,
+      "species": [
+        "Chiffchaff",
+        "Garden Warbler"
+      ],
+      "monthly_activity": [
+        {
+          "month": 1,
+          "month_name": "January",
+          "mean_activity": 0.003034,
+          "n_species_contributing": 2
+        },
+        {
+          "month": 2,
+          "month_name": "February",
+          "mean_activity": 0.236909,
+          "n_species_contributing": 2
+        },
+        {
+          "month": 3,
+          "month_name": "March",
+          "mean_activity": 0.737389,
+          "n_species_contributing": 2
+        },
+        {
+          "month": 4,
+          "month_name": "April",
+          "mean_activity": 0.831276,
+          "n_species_contributing": 2
+        },
+        {
+          "month": 5,
+          "month_name": "May",
+          "mean_activity": 0.530803,
+          "n_species_contributing": 2
+        },
+        {
+          "month": 6,
+          "month_name": "June",
+          "mean_activity": 0.251834,
+          "n_species_contributing": 2
+        },
+        {
+          "month": 7,
+          "month_name": "July",
+          "mean_activity": 0.060887,
+          "n_species_contributing": 2
+        },
+        {
+          "month": 8,
+          "month_name": "August",
+          "mean_activity": 0.000204,
+          "n_species_contributing": 2
+        },
+        {
+          "month": 9,
+          "month_name": "September",
+          "mean_activity": 0.0,
+          "n_species_contributing": 2
+        },
+        {
+          "month": 10,
+          "month_name": "October",
+          "mean_activity": 0.0,
+          "n_species_contributing": 2
+        },
+        {
+          "month": 11,
+          "month_name": "November",
+          "mean_activity": 0.0,
+          "n_species_contributing": 2
+        },
+        {
+          "month": 12,
+          "month_name": "December",
+          "mean_activity": 0.0,
+          "n_species_contributing": 2
+        }
+      ]
+    },
+    {
+      "cluster_id": 7,
+      "calendar_label": "Jay neighbourhood",
+      "description": "Single-species cluster containing Jay, mainly representing resident with summer detectability collapse. Detectability peaks around October and and is lowest around August. The shared pattern includes weak baseline presence, moderate summer suppression, meaningful autumn component, and rapid decline biased response dynamics. Its defining traits include resident detectability pattern, weak baseline presence, and autumn detectability peak. Compared with the full species set, target amplitude is lower than the whole-set average and peak month is lower than the whole-set average.",
+      "n_species": 1,
+      "species": [
+        "Jay"
+      ],
+      "monthly_activity": [
+        {
+          "month": 1,
+          "month_name": "January",
+          "mean_activity": 1.0,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 2,
+          "month_name": "February",
+          "mean_activity": 0.547699,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 3,
+          "month_name": "March",
+          "mean_activity": 0.333066,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 4,
+          "month_name": "April",
+          "mean_activity": 0.231214,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 5,
+          "month_name": "May",
+          "mean_activity": 0.182881,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 6,
+          "month_name": "June",
+          "mean_activity": 0.159615,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 7,
+          "month_name": "July",
+          "mean_activity": 0.064212,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 8,
+          "month_name": "August",
+          "mean_activity": 0.00059,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 9,
+          "month_name": "September",
+          "mean_activity": 0.089497,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 10,
+          "month_name": "October",
+          "mean_activity": 0.261757,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 11,
+          "month_name": "November",
+          "mean_activity": 0.198723,
+          "n_species_contributing": 1
+        },
+        {
+          "month": 12,
+          "month_name": "December",
+          "mean_activity": 0.209148,
+          "n_species_contributing": 1
+        }
+      ]
+    },
+    {
+      "cluster_id": 8,
+      "calendar_label": "Resident With Summer Detectability Collapse",
+      "description": "Cluster of 22 species, mainly representing resident with summer detectability collapse. Detectability peaks around April and and is lowest around September. The shared pattern includes weak baseline presence, moderate summer suppression, weak autumn component, and rapid decline biased response dynamics. Common high-support traits include resident detectability pattern, moderate summer suppression, and weak autumn component.",
+      "n_species": 22,
+      "species": [
+        "Collared Dove",
+        "House Sparrow",
+        "Mallard",
+        "Pied Wagtail",
+        "Chaffinch",
+        "Coal Tit",
+        "Blackcap",
+        "Skylark",
+        "Common Kestrel",
+        "Long Tailed Tit",
+        "Buzzard",
+        "Blackbird",
+        "Blue Tit",
+        "Dunnock",
+        "Canada Goose",
+        "Song Thrush",
+        "Greylag Goose",
+        "Great Tit",
+        "Pheasant",
+        "Rook",
+        "Greenfinch",
+        "Wren"
+      ],
+      "monthly_activity": [
+        {
+          "month": 1,
+          "month_name": "January",
+          "mean_activity": 0.613978,
+          "n_species_contributing": 22
+        },
+        {
+          "month": 2,
+          "month_name": "February",
+          "mean_activity": 0.565079,
+          "n_species_contributing": 22
+        },
+        {
+          "month": 3,
+          "month_name": "March",
+          "mean_activity": 0.748989,
+          "n_species_contributing": 22
+        },
+        {
+          "month": 4,
+          "month_name": "April",
+          "mean_activity": 0.885539,
+          "n_species_contributing": 22
+        },
+        {
+          "month": 5,
+          "month_name": "May",
+          "mean_activity": 0.758952,
+          "n_species_contributing": 22
+        },
+        {
+          "month": 6,
+          "month_name": "June",
+          "mean_activity": 0.545975,
+          "n_species_contributing": 22
+        },
+        {
+          "month": 7,
+          "month_name": "July",
+          "mean_activity": 0.296889,
+          "n_species_contributing": 22
+        },
+        {
+          "month": 8,
+          "month_name": "August",
+          "mean_activity": 0.184221,
+          "n_species_contributing": 22
+        },
+        {
+          "month": 9,
+          "month_name": "September",
+          "mean_activity": 0.190135,
+          "n_species_contributing": 22
+        },
+        {
+          "month": 10,
+          "month_name": "October",
+          "mean_activity": 0.210748,
+          "n_species_contributing": 22
+        },
+        {
+          "month": 11,
+          "month_name": "November",
+          "mean_activity": 0.243824,
+          "n_species_contributing": 22
+        },
+        {
+          "month": 12,
+          "month_name": "December",
+          "mean_activity": 0.397912,
+          "n_species_contributing": 22
+        }
+      ]
+    },
+    {
+      "cluster_id": 9,
+      "calendar_label": "Resident With Summer Detectability Collapse",
+      "description": "Cluster of 7 species, mainly representing resident with summer detectability collapse. Detectability peaks around February and and is lowest around August. The shared pattern includes weak baseline presence, moderate summer suppression, weak autumn component, and decline biased response dynamics. Common high-support traits include resident detectability pattern, winter detectability peak, and meaningful year end component.",
+      "n_species": 7,
+      "species": [
+        "Cormorant",
+        "Mistle Thrush",
+        "Robin",
+        "Mute Swan",
+        "Herring Gull",
+        "Black Headed Gull",
+        "Coot"
+      ],
+      "monthly_activity": [
+        {
+          "month": 1,
+          "month_name": "January",
+          "mean_activity": 1.0,
+          "n_species_contributing": 7
+        },
+        {
+          "month": 2,
+          "month_name": "February",
+          "mean_activity": 0.829851,
+          "n_species_contributing": 7
+        },
+        {
+          "month": 3,
+          "month_name": "March",
+          "mean_activity": 0.659876,
+          "n_species_contributing": 7
+        },
+        {
+          "month": 4,
+          "month_name": "April",
+          "mean_activity": 0.49161,
+          "n_species_contributing": 7
+        },
+        {
+          "month": 5,
+          "month_name": "May",
+          "mean_activity": 0.41594,
+          "n_species_contributing": 7
+        },
+        {
+          "month": 6,
+          "month_name": "June",
+          "mean_activity": 0.378492,
+          "n_species_contributing": 7
+        },
+        {
+          "month": 7,
+          "month_name": "July",
+          "mean_activity": 0.255692,
+          "n_species_contributing": 7
+        },
+        {
+          "month": 8,
+          "month_name": "August",
+          "mean_activity": 0.187243,
+          "n_species_contributing": 7
+        },
+        {
+          "month": 9,
+          "month_name": "September",
+          "mean_activity": 0.185943,
+          "n_species_contributing": 7
+        },
+        {
+          "month": 10,
+          "month_name": "October",
+          "mean_activity": 0.226989,
+          "n_species_contributing": 7
+        },
+        {
+          "month": 11,
+          "month_name": "November",
+          "mean_activity": 0.275109,
+          "n_species_contributing": 7
+        },
+        {
+          "month": 12,
+          "month_name": "December",
+          "mean_activity": 0.477787,
+          "n_species_contributing": 7
+        }
+      ]
+    },
+    {
+      "cluster_id": 10,
+      "calendar_label": "Resident With Spring Persistence And Summer Suppression",
+      "description": "Cluster of 8 species, mainly representing resident with spring persistence and summer suppression. Detectability peaks around March and and is lowest around August. The shared pattern includes strong baseline presence, strong summer suppression, weak autumn component, and rapid decline biased response dynamics. Common high-support traits include resident detectability pattern, strong baseline presence, and strong summer suppression. Compared with the full species set, target mean value is higher than the whole-set average and baseline to peak ratio is higher than the whole-set average.",
+      "n_species": 8,
+      "species": [
+        "Grey Heron",
+        "Jackdaw",
+        "Red Kite",
+        "Goldfinch",
+        "Woodpigeon",
+        "Common Starling",
+        "Crow",
+        "Magpie"
+      ],
+      "monthly_activity": [
+        {
+          "month": 1,
+          "month_name": "January",
+          "mean_activity": 0.933133,
+          "n_species_contributing": 8
+        },
+        {
+          "month": 2,
+          "month_name": "February",
+          "mean_activity": 0.921224,
+          "n_species_contributing": 8
+        },
+        {
+          "month": 3,
+          "month_name": "March",
+          "mean_activity": 0.874613,
+          "n_species_contributing": 8
+        },
+        {
+          "month": 4,
+          "month_name": "April",
+          "mean_activity": 0.834114,
+          "n_species_contributing": 8
+        },
+        {
+          "month": 5,
+          "month_name": "May",
+          "mean_activity": 0.805123,
+          "n_species_contributing": 8
+        },
+        {
+          "month": 6,
+          "month_name": "June",
+          "mean_activity": 0.761062,
+          "n_species_contributing": 8
+        },
+        {
+          "month": 7,
+          "month_name": "July",
+          "mean_activity": 0.56398,
+          "n_species_contributing": 8
+        },
+        {
+          "month": 8,
+          "month_name": "August",
+          "mean_activity": 0.402786,
+          "n_species_contributing": 8
+        },
+        {
+          "month": 9,
+          "month_name": "September",
+          "mean_activity": 0.431219,
+          "n_species_contributing": 8
+        },
+        {
+          "month": 10,
+          "month_name": "October",
+          "mean_activity": 0.48775,
+          "n_species_contributing": 8
+        },
+        {
+          "month": 11,
+          "month_name": "November",
+          "mean_activity": 0.531919,
+          "n_species_contributing": 8
+        },
+        {
+          "month": 12,
+          "month_name": "December",
+          "mean_activity": 0.655647,
+          "n_species_contributing": 8
+        }
+      ]
+    }
+  ]
+}
diff --git a/modelling/data/abingdon-birds/analysis/cluster_analysis.json b/modelling/data/abingdon-birds/analysis/cluster_analysis.json
new file mode 100644
index 0000000..b20b71f
--- /dev/null
+++ b/modelling/data/abingdon-birds/analysis/cluster_analysis.json
@@ -0,0 +1,4625 @@
+{
+  "schema_version": "species-similarity-clusters/v2",
+  "created_utc": "2026-05-21T10:27:39.047993+00:00",
+  "source_similarity_schema_version": "species-similarity/v1",
+  "source_feature_schema_version": "species-feature-table/v1",
+  "n_species": 46,
+  "n_clusters": 10,
+  "method": {
+    "description": "Hierarchical clustering over pairwise species similarity, followed by cluster-level summaries from the species feature matrix.",
+    "linkage_method": "average",
+    "cluster_cut": {
+      "criterion": "maxclust",
+      "n_clusters_requested": 10
+    },
+    "distance_definition": "distance = 1 - similarity",
+    "cluster_caveat": "Clusters should be interpreted as exploratory seasonal assemblages rather than fixed ecological categories."
+  },
+  "species_order": [
+    "Redwing",
+    "Swallow",
+    "Cuckoo",
+    "Reed Warbler",
+    "Whitethroat",
+    "Swift",
+    "Chiffchaff",
+    "Garden Warbler",
+    "Jay",
+    "Collared Dove",
+    "House Sparrow",
+    "Mallard",
+    "Pied Wagtail",
+    "Chaffinch",
+    "Coal Tit",
+    "Blackcap",
+    "Skylark",
+    "Common Kestrel",
+    "Long Tailed Tit",
+    "Buzzard",
+    "Blackbird",
+    "Blue Tit",
+    "Dunnock",
+    "Canada Goose",
+    "Song Thrush",
+    "Greylag Goose",
+    "Great Tit",
+    "Pheasant",
+    "Rook",
+    "Greenfinch",
+    "Wren",
+    "Cormorant",
+    "Mistle Thrush",
+    "Robin",
+    "Mute Swan",
+    "Herring Gull",
+    "Black Headed Gull",
+    "Coot",
+    "Grey Heron",
+    "Jackdaw",
+    "Red Kite",
+    "Goldfinch",
+    "Woodpigeon",
+    "Common Starling",
+    "Crow",
+    "Magpie"
+  ],
+  "linkage": {
+    "format": "scipy.cluster.hierarchy.linkage",
+    "columns": [
+      "left_child",
+      "right_child",
+      "distance",
+      "n_leaves"
+    ],
+    "node_id_convention": "Leaf nodes are 0..n_species-1 in species_input_order; internal nodes are n_species..2*n_species-2 in linkage row order.",
+    "species_input_order": [
+      "Black Headed Gull",
+      "Blackbird",
+      "Blackcap",
+      "Blue Tit",
+      "Buzzard",
+      "Canada Goose",
+      "Chaffinch",
+      "Coal Tit",
+      "Collared Dove",
+      "Common Kestrel",
+      "Common Starling",
+      "Coot",
+      "Cormorant",
+      "Crow",
+      "Dunnock",
+      "Goldfinch",
+      "Great Tit",
+      "Greenfinch",
+      "Grey Heron",
+      "Greylag Goose",
+      "Herring Gull",
+      "House Sparrow",
+      "Jackdaw",
+      "Jay",
+      "Long Tailed Tit",
+      "Magpie",
+      "Mallard",
+      "Mistle Thrush",
+      "Mute Swan",
+      "Pheasant",
+      "Pied Wagtail",
+      "Red Kite",
+      "Robin",
+      "Rook",
+      "Skylark",
+      "Song Thrush",
+      "Woodpigeon",
+      "Wren",
+      "Chiffchaff",
+      "Cuckoo",
+      "Garden Warbler",
+      "Reed Warbler",
+      "Swallow",
+      "Swift",
+      "Whitethroat",
+      "Redwing"
+    ],
+    "leaf_order_indices": [
+      45,
+      42,
+      39,
+      41,
+      44,
+      43,
+      38,
+      40,
+      23,
+      8,
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+      11,
+      18,
+      22,
+      31,
+      15,
+      36,
+      10,
+      13,
+      25
+    ],
+    "leaf_order_species": [
+      "Redwing",
+      "Swallow",
+      "Cuckoo",
+      "Reed Warbler",
+      "Whitethroat",
+      "Swift",
+      "Chiffchaff",
+      "Garden Warbler",
+      "Jay",
+      "Collared Dove",
+      "House Sparrow",
+      "Mallard",
+      "Pied Wagtail",
+      "Chaffinch",
+      "Coal Tit",
+      "Blackcap",
+      "Skylark",
+      "Common Kestrel",
+      "Long Tailed Tit",
+      "Buzzard",
+      "Blackbird",
+      "Blue Tit",
+      "Dunnock",
+      "Canada Goose",
+      "Song Thrush",
+      "Greylag Goose",
+      "Great Tit",
+      "Pheasant",
+      "Rook",
+      "Greenfinch",
+      "Wren",
+      "Cormorant",
+      "Mistle Thrush",
+      "Robin",
+      "Mute Swan",
+      "Herring Gull",
+      "Black Headed Gull",
+      "Coot",
+      "Grey Heron",
+      "Jackdaw",
+      "Red Kite",
+      "Goldfinch",
+      "Woodpigeon",
+      "Common Starling",
+      "Crow",
+      "Magpie"
+    ],
+    "matrix": [
+      [
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+        0.044458,
+        2
+      ],
+      [
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+      [
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+    ],
+    "merges": [
+      {
+        "node_id": 46,
+        "left_child": 16,
+        "right_child": 29,
+        "distance": 0.044458,
+        "n_leaves": 2,
+        "species": [
+          "Great Tit",
+          "Pheasant"
+        ],
+        "left_species": [
+          "Great Tit"
+        ],
+        "right_species": [
+          "Pheasant"
+        ]
+      },
+      {
+        "node_id": 47,
+        "left_child": 2,
+        "right_child": 34,
+        "distance": 0.06456,
+        "n_leaves": 2,
+        "species": [
+          "Blackcap",
+          "Skylark"
+        ],
+        "left_species": [
+          "Blackcap"
+        ],
+        "right_species": [
+          "Skylark"
+        ]
+      },
+      {
+        "node_id": 48,
+        "left_child": 13,
+        "right_child": 25,
+        "distance": 0.068585,
+        "n_leaves": 2,
+        "species": [
+          "Crow",
+          "Magpie"
+        ],
+        "left_species": [
+          "Crow"
+        ],
+        "right_species": [
+          "Magpie"
+        ]
+      },
+      {
+        "node_id": 49,
+        "left_child": 8,
+        "right_child": 21,
+        "distance": 0.069839,
+        "n_leaves": 2,
+        "species": [
+          "Collared Dove",
+          "House Sparrow"
+        ],
+        "left_species": [
+          "Collared Dove"
+        ],
+        "right_species": [
+          "House Sparrow"
+        ]
+      },
+      {
+        "node_id": 50,
+        "left_child": 3,
+        "right_child": 14,
+        "distance": 0.075404,
+        "n_leaves": 2,
+        "species": [
+          "Blue Tit",
+          "Dunnock"
+        ],
+        "left_species": [
+          "Blue Tit"
+        ],
+        "right_species": [
+          "Dunnock"
+        ]
+      },
+      {
+        "node_id": 51,
+        "left_child": 15,
+        "right_child": 36,
+        "distance": 0.090219,
+        "n_leaves": 2,
+        "species": [
+          "Goldfinch",
+          "Woodpigeon"
+        ],
+        "left_species": [
+          "Goldfinch"
+        ],
+        "right_species": [
+          "Woodpigeon"
+        ]
+      },
+      {
+        "node_id": 52,
+        "left_child": 17,
+        "right_child": 37,
+        "distance": 0.0922,
+        "n_leaves": 2,
+        "species": [
+          "Greenfinch",
+          "Wren"
+        ],
+        "left_species": [
+          "Greenfinch"
+        ],
+        "right_species": [
+          "Wren"
+        ]
+      },
+      {
+        "node_id": 53,
+        "left_child": 1,
+        "right_child": 50,
+        "distance": 0.100934,
+        "n_leaves": 3,
+        "species": [
+          "Blackbird",
+          "Blue Tit",
+          "Dunnock"
+        ],
+        "left_species": [
+          "Blackbird"
+        ],
+        "right_species": [
+          "Blue Tit",
+          "Dunnock"
+        ]
+      },
+      {
+        "node_id": 54,
+        "left_child": 26,
+        "right_child": 30,
+        "distance": 0.103397,
+        "n_leaves": 2,
+        "species": [
+          "Mallard",
+          "Pied Wagtail"
+        ],
+        "left_species": [
+          "Mallard"
+        ],
+        "right_species": [
+          "Pied Wagtail"
+        ]
+      },
+      {
+        "node_id": 55,
+        "left_child": 0,
+        "right_child": 11,
+        "distance": 0.105005,
+        "n_leaves": 2,
+        "species": [
+          "Black Headed Gull",
+          "Coot"
+        ],
+        "left_species": [
+          "Black Headed Gull"
+        ],
+        "right_species": [
+          "Coot"
+        ]
+      },
+      {
+        "node_id": 56,
+        "left_child": 4,
+        "right_child": 53,
+        "distance": 0.124636,
+        "n_leaves": 4,
+        "species": [
+          "Buzzard",
+          "Blackbird",
+          "Blue Tit",
+          "Dunnock"
+        ],
+        "left_species": [
+          "Buzzard"
+        ],
+        "right_species": [
+          "Blackbird",
+          "Blue Tit",
+          "Dunnock"
+        ]
+      },
+      {
+        "node_id": 57,
+        "left_child": 10,
+        "right_child": 48,
+        "distance": 0.130096,
+        "n_leaves": 3,
+        "species": [
+          "Common Starling",
+          "Crow",
+          "Magpie"
+        ],
+        "left_species": [
+          "Common Starling"
+        ],
+        "right_species": [
+          "Crow",
+          "Magpie"
+        ]
+      },
+      {
+        "node_id": 58,
+        "left_child": 19,
+        "right_child": 46,
+        "distance": 0.136725,
+        "n_leaves": 3,
+        "species": [
+          "Greylag Goose",
+          "Great Tit",
+          "Pheasant"
+        ],
+        "left_species": [
+          "Greylag Goose"
+        ],
+        "right_species": [
+          "Great Tit",
+          "Pheasant"
+        ]
+      },
+      {
+        "node_id": 59,
+        "left_child": 5,
+        "right_child": 35,
+        "distance": 0.146966,
+        "n_leaves": 2,
+        "species": [
+          "Canada Goose",
+          "Song Thrush"
+        ],
+        "left_species": [
+          "Canada Goose"
+        ],
+        "right_species": [
+          "Song Thrush"
+        ]
+      },
+      {
+        "node_id": 60,
+        "left_child": 7,
+        "right_child": 47,
+        "distance": 0.147471,
+        "n_leaves": 3,
+        "species": [
+          "Coal Tit",
+          "Blackcap",
+          "Skylark"
+        ],
+        "left_species": [
+          "Coal Tit"
+        ],
+        "right_species": [
+          "Blackcap",
+          "Skylark"
+        ]
+      },
+      {
+        "node_id": 61,
+        "left_child": 41,
+        "right_child": 44,
+        "distance": 0.153728,
+        "n_leaves": 2,
+        "species": [
+          "Reed Warbler",
+          "Whitethroat"
+        ],
+        "left_species": [
+          "Reed Warbler"
+        ],
+        "right_species": [
+          "Whitethroat"
+        ]
+      },
+      {
+        "node_id": 62,
+        "left_child": 51,
+        "right_child": 57,
+        "distance": 0.156743,
+        "n_leaves": 5,
+        "species": [
+          "Goldfinch",
+          "Woodpigeon",
+          "Common Starling",
+          "Crow",
+          "Magpie"
+        ],
+        "left_species": [
+          "Goldfinch",
+          "Woodpigeon"
+        ],
+        "right_species": [
+          "Common Starling",
+          "Crow",
+          "Magpie"
+        ]
+      },
+      {
+        "node_id": 63,
+        "left_child": 27,
+        "right_child": 32,
+        "distance": 0.156829,
+        "n_leaves": 2,
+        "species": [
+          "Mistle Thrush",
+          "Robin"
+        ],
+        "left_species": [
+          "Mistle Thrush"
+        ],
+        "right_species": [
+          "Robin"
+        ]
+      },
+      {
+        "node_id": 64,
+        "left_child": 20,
+        "right_child": 55,
+        "distance": 0.161985,
+        "n_leaves": 3,
+        "species": [
+          "Herring Gull",
+          "Black Headed Gull",
+          "Coot"
+        ],
+        "left_species": [
+          "Herring Gull"
+        ],
+        "right_species": [
+          "Black Headed Gull",
+          "Coot"
+        ]
+      },
+      {
+        "node_id": 65,
+        "left_child": 6,
+        "right_child": 60,
+        "distance": 0.169247,
+        "n_leaves": 4,
+        "species": [
+          "Chaffinch",
+          "Coal Tit",
+          "Blackcap",
+          "Skylark"
+        ],
+        "left_species": [
+          "Chaffinch"
+        ],
+        "right_species": [
+          "Coal Tit",
+          "Blackcap",
+          "Skylark"
+        ]
+      },
+      {
+        "node_id": 66,
+        "left_child": 33,
+        "right_child": 52,
+        "distance": 0.176733,
+        "n_leaves": 3,
+        "species": [
+          "Rook",
+          "Greenfinch",
+          "Wren"
+        ],
+        "left_species": [
+          "Rook"
+        ],
+        "right_species": [
+          "Greenfinch",
+          "Wren"
+        ]
+      },
+      {
+        "node_id": 67,
+        "left_child": 54,
+        "right_child": 65,
+        "distance": 0.179177,
+        "n_leaves": 6,
+        "species": [
+          "Mallard",
+          "Pied Wagtail",
+          "Chaffinch",
+          "Coal Tit",
+          "Blackcap",
+          "Skylark"
+        ],
+        "left_species": [
+          "Mallard",
+          "Pied Wagtail"
+        ],
+        "right_species": [
+          "Chaffinch",
+          "Coal Tit",
+          "Blackcap",
+          "Skylark"
+        ]
+      },
+      {
+        "node_id": 68,
+        "left_child": 12,
+        "right_child": 63,
+        "distance": 0.1819,
+        "n_leaves": 3,
+        "species": [
+          "Cormorant",
+          "Mistle Thrush",
+          "Robin"
+        ],
+        "left_species": [
+          "Cormorant"
+        ],
+        "right_species": [
+          "Mistle Thrush",
+          "Robin"
+        ]
+      },
+      {
+        "node_id": 69,
+        "left_child": 38,
+        "right_child": 40,
+        "distance": 0.182583,
+        "n_leaves": 2,
+        "species": [
+          "Chiffchaff",
+          "Garden Warbler"
+        ],
+        "left_species": [
+          "Chiffchaff"
+        ],
+        "right_species": [
+          "Garden Warbler"
+        ]
+      },
+      {
+        "node_id": 70,
+        "left_child": 28,
+        "right_child": 64,
+        "distance": 0.208395,
+        "n_leaves": 4,
+        "species": [
+          "Mute Swan",
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+    "Magpie": 10,
+    "Mallard": 8,
+    "Mistle Thrush": 9,
+    "Mute Swan": 9,
+    "Pheasant": 8,
+    "Pied Wagtail": 8,
+    "Red Kite": 10,
+    "Robin": 9,
+    "Rook": 8,
+    "Skylark": 8,
+    "Song Thrush": 8,
+    "Woodpigeon": 10,
+    "Wren": 8,
+    "Chiffchaff": 6,
+    "Cuckoo": 3,
+    "Garden Warbler": 6,
+    "Reed Warbler": 4,
+    "Swallow": 2,
+    "Swift": 5,
+    "Whitethroat": 4,
+    "Redwing": 1
+  },
+  "clusters": [
+    {
+      "cluster_id": 1,
+      "n_species": 1,
+      "species": [
+        "Redwing"
+      ],
+      "description": "Single-species cluster containing Redwing, mainly representing winter visitor with autumn arrival component. The defining pattern is a winter peak around January, a moderate autumn component, moderate summer suppression, and slow arrival fast departure response dynamics. Its defining traits include year wrapping winter presence, core winter winter peak, and moderate autumn component. Compared with the full species set, autumn to winter weight ratio is higher than the whole-set average and decay to growth ratio is higher than the whole-set average.",
+      "dominant_model_family": "winter_presence",
+      "dominant_primary_class": "winter_visitor_with_autumn_arrival_component",
+      "numeric_summary": {
+        "peak_month": {
+          "n": 1,
+          "mean": 1.0,
+          "min": 1.0,
+          "max": 1.0
+        },
+        "trough_month": {
+          "n": 1,
+          "mean": 5.0,
+          "min": 5.0,
+          "max": 5.0
+        },
+        "autumn_to_winter_weight_ratio": {
+          "n": 1,
+          "mean": 0.236867,
+          "min": 0.236867,
+          "max": 0.236867
+        },
+        "decay_to_growth_ratio": {
+          "n": 1,
+          "mean": 2.658009,
+          "min": 2.658009,
+          "max": 2.658009
+        },
+        "active_month_count_ge_0_10": {
+          "n": 1,
+          "mean": 7.0,
+          "min": 7.0,
+          "max": 7.0
+        },
+        "fit_score": {
+          "n": 1,
+          "mean": 0.128,
+          "min": 0.128,
+          "max": 0.128
+        }
+      },
+      "categorical_summary": {
+        "model_family": {
+          "dominant": "winter_presence",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "winter_presence",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "primary_class": {
+          "dominant": "winter_visitor_with_autumn_arrival_component",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "winter_visitor_with_autumn_arrival_component",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "confidence": {
+          "dominant": "medium",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "medium",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "baseline_presence": {
+          "dominant": "low",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "low",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "timing": {
+          "dominant": "core_winter",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "core_winter",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "summer_suppression": {
+          "dominant": "moderate",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "autumn_component": {
+          "dominant": "moderate",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "response_dynamics": {
+          "dominant": "slow_arrival_fast_departure",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "slow_arrival_fast_departure",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        }
+      },
+      "common_traits": [
+        {
+          "trait": "year_wrapping_winter_presence",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "core_winter_winter_peak",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "moderate_autumn_component",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "moderate_summer_suppression",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "low_baseline_presence",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "moderate_winter_bump",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "slow_arrival_fast_departure_response_dynamics",
+          "count": 1,
+          "fraction": 1.0
+        }
+      ],
+      "distinguishing_numeric_features": [
+        {
+          "feature": "autumn_to_winter_weight_ratio",
+          "cluster_mean": 0.236867,
+          "global_mean": 0.072432,
+          "difference": 0.164435,
+          "scaled_difference": 0.779176,
+          "direction": "higher"
+        },
+        {
+          "feature": "decay_to_growth_ratio",
+          "cluster_mean": 2.658009,
+          "global_mean": 1.51443,
+          "difference": 1.143579,
+          "scaled_difference": 0.606607,
+          "direction": "higher"
+        },
+        {
+          "feature": "trough_month",
+          "cluster_mean": 5.0,
+          "global_mean": 8.334613,
+          "difference": -3.334613,
+          "scaled_difference": -0.555769,
+          "direction": "lower"
+        },
+        {
+          "feature": "peak_month",
+          "cluster_mean": 1.0,
+          "global_mean": 3.579196,
+          "difference": -2.579196,
+          "scaled_difference": -0.286577,
+          "direction": "lower"
+        },
+        {
+          "feature": "fit_score",
+          "cluster_mean": 0.128,
+          "global_mean": 0.2805,
+          "difference": -0.1525,
+          "scaled_difference": -0.265679,
+          "direction": "lower"
+        }
+      ],
+      "suggested_label_terms": [
+        "winter_presence",
+        "core_winter",
+        "winter_visitor_with_autumn_arrival_component",
+        "mean_peak_month_1.0",
+        "year_wrapping_winter_presence",
+        "core_winter_winter_peak",
+        "moderate_autumn_component"
+      ]
+    },
+    {
+      "cluster_id": 2,
+      "n_species": 1,
+      "species": [
+        "Swallow"
+      ],
+      "description": "Single-species cluster containing Swallow, mainly representing extended spring seasonal presence. The fitted active window runs roughly from April to October, with a mean peak around May, and and an average width of 6.2 months. It is characterised by very broad season and sharp active window. Its defining traits include spring peak, very broad season, and sharp seasonal window. Compared with the full species set, season end month is higher than the whole-set average and season width months is higher than the whole-set average.",
+      "dominant_model_family": "seasonal_presence",
+      "dominant_primary_class": "extended_spring_seasonal_presence",
+      "numeric_summary": {
+        "peak_month": {
+          "n": 1,
+          "mean": 5.47,
+          "min": 5.47,
+          "max": 5.47
+        },
+        "season_start_month": {
+          "n": 1,
+          "mean": 4.08,
+          "min": 4.08,
+          "max": 4.08
+        },
+        "season_end_month": {
+          "n": 1,
+          "mean": 10.295,
+          "min": 10.295,
+          "max": 10.295
+        },
+        "season_width_months": {
+          "n": 1,
+          "mean": 6.215,
+          "min": 6.215,
+          "max": 6.215
+        },
+        "season_midpoint_month": {
+          "n": 1,
+          "mean": 7.1875,
+          "min": 7.1875,
+          "max": 7.1875
+        },
+        "fit_score": {
+          "n": 1,
+          "mean": 0.045,
+          "min": 0.045,
+          "max": 0.045
+        }
+      },
+      "categorical_summary": {
+        "model_family": {
+          "dominant": "seasonal_presence",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "seasonal_presence",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "primary_class": {
+          "dominant": "extended_spring_seasonal_presence",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "extended_spring_seasonal_presence",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "confidence": {
+          "dominant": "high",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "high",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "timing": {
+          "dominant": "spring",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "spring",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "season_width_class": {
+          "dominant": "very_broad",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "very_broad",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "window_shape": {
+          "dominant": "sharp",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "sharp",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "post_peak_decline": {
+          "dominant": "moderate",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "offseason_suppression": {
+          "dominant": "moderate",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        }
+      },
+      "common_traits": [
+        {
+          "trait": "spring_peak",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "very_broad_season",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "sharp_seasonal_window",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "moderate_post_peak_decline",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "moderate_offseason_suppression",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "early_peak_alignment",
+          "count": 1,
+          "fraction": 1.0
+        }
+      ],
+      "distinguishing_numeric_features": [
+        {
+          "feature": "season_end_month",
+          "cluster_mean": 10.295,
+          "global_mean": 7.331228,
+          "difference": 2.963772,
+          "scaled_difference": 0.709036,
+          "direction": "higher"
+        },
+        {
+          "feature": "season_width_months",
+          "cluster_mean": 6.215,
+          "global_mean": 3.745714,
+          "difference": 2.469286,
+          "scaled_difference": 0.563121,
+          "direction": "higher"
+        },
+        {
+          "feature": "season_midpoint_month",
+          "cluster_mean": 7.1875,
+          "global_mean": 5.599768,
+          "difference": 1.587732,
+          "scaled_difference": 0.539586,
+          "direction": "higher"
+        },
+        {
+          "feature": "fit_score",
+          "cluster_mean": 0.045,
+          "global_mean": 0.2805,
+          "difference": -0.2355,
+          "scaled_difference": -0.410279,
+          "direction": "lower"
+        },
+        {
+          "feature": "peak_month",
+          "cluster_mean": 5.47,
+          "global_mean": 3.579196,
+          "difference": 1.890804,
+          "scaled_difference": 0.210089,
+          "direction": "higher"
+        },
+        {
+          "feature": "season_start_month",
+          "cluster_mean": 4.08,
+          "global_mean": 3.776186,
+          "difference": 0.303814,
+          "scaled_difference": 0.098801,
+          "direction": "higher"
+        }
+      ],
+      "suggested_label_terms": [
+        "seasonal_presence",
+        "spring",
+        "very_broad",
+        "extended_spring_seasonal_presence",
+        "mean_peak_month_5.47",
+        "spring_peak",
+        "very_broad_season",
+        "sharp_seasonal_window"
+      ]
+    },
+    {
+      "cluster_id": 3,
+      "n_species": 1,
+      "species": [
+        "Cuckoo"
+      ],
+      "description": "Single-species cluster containing Cuckoo, mainly representing narrow spring seasonal presence. The fitted active window runs roughly from April to June, with a mean peak around May, and and an average width of 1.8 months. It is characterised by narrow season and sharp active window. Its defining traits include spring peak, narrow season, and sharp seasonal window. Compared with the full species set, fit score is lower than the whole-set average and season width months is lower than the whole-set average.",
+      "dominant_model_family": "seasonal_presence",
+      "dominant_primary_class": "narrow_spring_seasonal_presence",
+      "numeric_summary": {
+        "peak_month": {
+          "n": 1,
+          "mean": 5.49,
+          "min": 5.49,
+          "max": 5.49
+        },
+        "season_start_month": {
+          "n": 1,
+          "mean": 4.365,
+          "min": 4.365,
+          "max": 4.365
+        },
+        "season_end_month": {
+          "n": 1,
+          "mean": 6.195,
+          "min": 6.195,
+          "max": 6.195
+        },
+        "season_width_months": {
+          "n": 1,
+          "mean": 1.83,
+          "min": 1.83,
+          "max": 1.83
+        },
+        "season_midpoint_month": {
+          "n": 1,
+          "mean": 5.28,
+          "min": 5.28,
+          "max": 5.28
+        },
+        "fit_score": {
+          "n": 1,
+          "mean": 0.007,
+          "min": 0.007,
+          "max": 0.007
+        }
+      },
+      "categorical_summary": {
+        "model_family": {
+          "dominant": "seasonal_presence",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "seasonal_presence",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "primary_class": {
+          "dominant": "narrow_spring_seasonal_presence",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "narrow_spring_seasonal_presence",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "confidence": {
+          "dominant": "high",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "high",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "timing": {
+          "dominant": "spring",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "spring",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "season_width_class": {
+          "dominant": "narrow",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "narrow",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "window_shape": {
+          "dominant": "sharp",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "sharp",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "post_peak_decline": {
+          "dominant": "moderate",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "offseason_suppression": {
+          "dominant": "strong",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "strong",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        }
+      },
+      "common_traits": [
+        {
+          "trait": "spring_peak",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "narrow_season",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "sharp_seasonal_window",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "moderate_post_peak_decline",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "strong_offseason_suppression",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "central_peak_alignment",
+          "count": 1,
+          "fraction": 1.0
+        }
+      ],
+      "distinguishing_numeric_features": [
+        {
+          "feature": "fit_score",
+          "cluster_mean": 0.007,
+          "global_mean": 0.2805,
+          "difference": -0.2735,
+          "scaled_difference": -0.476481,
+          "direction": "lower"
+        },
+        {
+          "feature": "season_width_months",
+          "cluster_mean": 1.83,
+          "global_mean": 3.745714,
+          "difference": -1.915714,
+          "scaled_difference": -0.436879,
+          "direction": "lower"
+        },
+        {
+          "feature": "season_end_month",
+          "cluster_mean": 6.195,
+          "global_mean": 7.331228,
+          "difference": -1.136228,
+          "scaled_difference": -0.271825,
+          "direction": "lower"
+        },
+        {
+          "feature": "peak_month",
+          "cluster_mean": 5.49,
+          "global_mean": 3.579196,
+          "difference": 1.910804,
+          "scaled_difference": 0.212312,
+          "direction": "higher"
+        },
+        {
+          "feature": "season_start_month",
+          "cluster_mean": 4.365,
+          "global_mean": 3.776186,
+          "difference": 0.588814,
+          "scaled_difference": 0.191484,
+          "direction": "higher"
+        },
+        {
+          "feature": "season_midpoint_month",
+          "cluster_mean": 5.28,
+          "global_mean": 5.599768,
+          "difference": -0.319768,
+          "scaled_difference": -0.108672,
+          "direction": "lower"
+        }
+      ],
+      "suggested_label_terms": [
+        "seasonal_presence",
+        "spring",
+        "narrow",
+        "narrow_spring_seasonal_presence",
+        "mean_peak_month_5.49",
+        "spring_peak",
+        "narrow_season",
+        "sharp_seasonal_window"
+      ]
+    },
+    {
+      "cluster_id": 4,
+      "n_species": 2,
+      "species": [
+        "Reed Warbler",
+        "Whitethroat"
+      ],
+      "description": "Cluster of 2 species, mainly representing moderate spring seasonal presence. The fitted active window runs roughly from April to June, with a mean peak around May, and and an average width of 2.6 months. It is characterised by moderate season and moderate active window. Common high-support traits include spring peak, moderate season, and moderate seasonal window. Compared with the full species set, fit score is lower than the whole-set average and season width months is lower than the whole-set average.",
+      "dominant_model_family": "seasonal_presence",
+      "dominant_primary_class": "moderate_spring_seasonal_presence",
+      "numeric_summary": {
+        "peak_month": {
+          "n": 2,
+          "mean": 4.655,
+          "min": 4.12,
+          "max": 5.19
+        },
+        "season_start_month": {
+          "n": 2,
+          "mean": 3.8425,
+          "min": 3.29,
+          "max": 4.395
+        },
+        "season_end_month": {
+          "n": 2,
+          "mean": 6.4425,
+          "min": 6.115,
+          "max": 6.77
+        },
+        "season_width_months": {
+          "n": 2,
+          "mean": 2.6,
+          "min": 2.375,
+          "max": 2.825
+        },
+        "season_midpoint_month": {
+          "n": 2,
+          "mean": 5.1425,
+          "min": 4.7025,
+          "max": 5.5825
+        },
+        "fit_score": {
+          "n": 2,
+          "mean": 0.044,
+          "min": 0.028,
+          "max": 0.06
+        }
+      },
+      "categorical_summary": {
+        "model_family": {
+          "dominant": "seasonal_presence",
+          "dominant_count": 2,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "seasonal_presence",
+              "count": 2,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "primary_class": {
+          "dominant": "moderate_spring_seasonal_presence",
+          "dominant_count": 2,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "moderate_spring_seasonal_presence",
+              "count": 2,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "confidence": {
+          "dominant": "high",
+          "dominant_count": 2,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "high",
+              "count": 2,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "timing": {
+          "dominant": "spring",
+          "dominant_count": 2,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "spring",
+              "count": 2,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "season_width_class": {
+          "dominant": "moderate",
+          "dominant_count": 2,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 2,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "window_shape": {
+          "dominant": "moderate",
+          "dominant_count": 2,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 2,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "post_peak_decline": {
+          "dominant": "strong",
+          "dominant_count": 2,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "strong",
+              "count": 2,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "offseason_suppression": {
+          "dominant": "strong",
+          "dominant_count": 1,
+          "dominant_fraction": 0.5,
+          "values": [
+            {
+              "value": "strong",
+              "count": 1,
+              "fraction": 0.5
+            },
+            {
+              "value": "moderate",
+              "count": 1,
+              "fraction": 0.5
+            }
+          ]
+        }
+      },
+      "common_traits": [
+        {
+          "trait": "spring_peak",
+          "count": 2,
+          "fraction": 1.0
+        },
+        {
+          "trait": "moderate_season",
+          "count": 2,
+          "fraction": 1.0
+        },
+        {
+          "trait": "moderate_seasonal_window",
+          "count": 2,
+          "fraction": 1.0
+        },
+        {
+          "trait": "strong_post_peak_decline",
+          "count": 2,
+          "fraction": 1.0
+        },
+        {
+          "trait": "central_peak_alignment",
+          "count": 2,
+          "fraction": 1.0
+        },
+        {
+          "trait": "strong_offseason_suppression",
+          "count": 1,
+          "fraction": 0.5
+        },
+        {
+          "trait": "moderate_offseason_suppression",
+          "count": 1,
+          "fraction": 0.5
+        }
+      ],
+      "distinguishing_numeric_features": [
+        {
+          "feature": "fit_score",
+          "cluster_mean": 0.044,
+          "global_mean": 0.2805,
+          "difference": -0.2365,
+          "scaled_difference": -0.412021,
+          "direction": "lower"
+        },
+        {
+          "feature": "season_width_months",
+          "cluster_mean": 2.6,
+          "global_mean": 3.745714,
+          "difference": -1.145714,
+          "scaled_difference": -0.26128,
+          "direction": "lower"
+        },
+        {
+          "feature": "season_end_month",
+          "cluster_mean": 6.4425,
+          "global_mean": 7.331228,
+          "difference": -0.888728,
+          "scaled_difference": -0.212614,
+          "direction": "lower"
+        },
+        {
+          "feature": "season_midpoint_month",
+          "cluster_mean": 5.1425,
+          "global_mean": 5.599768,
+          "difference": -0.457268,
+          "scaled_difference": -0.155401,
+          "direction": "lower"
+        },
+        {
+          "feature": "peak_month",
+          "cluster_mean": 4.655,
+          "global_mean": 3.579196,
+          "difference": 1.075804,
+          "scaled_difference": 0.119534,
+          "direction": "higher"
+        },
+        {
+          "feature": "season_start_month",
+          "cluster_mean": 3.8425,
+          "global_mean": 3.776186,
+          "difference": 0.066314,
+          "scaled_difference": 0.021566,
+          "direction": "higher"
+        }
+      ],
+      "suggested_label_terms": [
+        "seasonal_presence",
+        "spring",
+        "moderate",
+        "moderate_spring_seasonal_presence",
+        "mean_peak_month_4.655",
+        "spring_peak",
+        "moderate_season",
+        "moderate_seasonal_window"
+      ]
+    },
+    {
+      "cluster_id": 5,
+      "n_species": 1,
+      "species": [
+        "Swift"
+      ],
+      "description": "Single-species cluster containing Swift, mainly representing extended summer seasonal presence. The fitted active window runs roughly from May to September, with a mean peak around June, and and an average width of 4.2 months. It is characterised by broad season and moderate active window. Its defining traits include summer peak, broad season, and moderate seasonal window. Compared with the full species set, season midpoint month is higher than the whole-set average and season end month is higher than the whole-set average.",
+      "dominant_model_family": "seasonal_presence",
+      "dominant_primary_class": "extended_summer_seasonal_presence",
+      "numeric_summary": {
+        "peak_month": {
+          "n": 1,
+          "mean": 6.06,
+          "min": 6.06,
+          "max": 6.06
+        },
+        "season_start_month": {
+          "n": 1,
+          "mean": 5.11,
+          "min": 5.11,
+          "max": 5.11
+        },
+        "season_end_month": {
+          "n": 1,
+          "mean": 9.305,
+          "min": 9.305,
+          "max": 9.305
+        },
+        "season_width_months": {
+          "n": 1,
+          "mean": 4.195,
+          "min": 4.195,
+          "max": 4.195
+        },
+        "season_midpoint_month": {
+          "n": 1,
+          "mean": 7.2075,
+          "min": 7.2075,
+          "max": 7.2075
+        },
+        "fit_score": {
+          "n": 1,
+          "mean": 0.029,
+          "min": 0.029,
+          "max": 0.029
+        }
+      },
+      "categorical_summary": {
+        "model_family": {
+          "dominant": "seasonal_presence",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "seasonal_presence",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "primary_class": {
+          "dominant": "extended_summer_seasonal_presence",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "extended_summer_seasonal_presence",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "confidence": {
+          "dominant": "high",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "high",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "timing": {
+          "dominant": "summer",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "summer",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "season_width_class": {
+          "dominant": "broad",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "broad",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "window_shape": {
+          "dominant": "moderate",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "post_peak_decline": {
+          "dominant": "strong",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "strong",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "offseason_suppression": {
+          "dominant": "strong",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "strong",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        }
+      },
+      "common_traits": [
+        {
+          "trait": "summer_peak",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "broad_season",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "moderate_seasonal_window",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "strong_post_peak_decline",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "strong_offseason_suppression",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "early_peak_alignment",
+          "count": 1,
+          "fraction": 1.0
+        }
+      ],
+      "distinguishing_numeric_features": [
+        {
+          "feature": "season_midpoint_month",
+          "cluster_mean": 7.2075,
+          "global_mean": 5.599768,
+          "difference": 1.607732,
+          "scaled_difference": 0.546383,
+          "direction": "higher"
+        },
+        {
+          "feature": "season_end_month",
+          "cluster_mean": 9.305,
+          "global_mean": 7.331228,
+          "difference": 1.973772,
+          "scaled_difference": 0.472194,
+          "direction": "higher"
+        },
+        {
+          "feature": "fit_score",
+          "cluster_mean": 0.029,
+          "global_mean": 0.2805,
+          "difference": -0.2515,
+          "scaled_difference": -0.438153,
+          "direction": "lower"
+        },
+        {
+          "feature": "season_start_month",
+          "cluster_mean": 5.11,
+          "global_mean": 3.776186,
+          "difference": 1.333814,
+          "scaled_difference": 0.433761,
+          "direction": "higher"
+        },
+        {
+          "feature": "peak_month",
+          "cluster_mean": 6.06,
+          "global_mean": 3.579196,
+          "difference": 2.480804,
+          "scaled_difference": 0.275645,
+          "direction": "higher"
+        },
+        {
+          "feature": "season_width_months",
+          "cluster_mean": 4.195,
+          "global_mean": 3.745714,
+          "difference": 0.449286,
+          "scaled_difference": 0.10246,
+          "direction": "higher"
+        }
+      ],
+      "suggested_label_terms": [
+        "seasonal_presence",
+        "summer",
+        "broad",
+        "extended_summer_seasonal_presence",
+        "mean_peak_month_6.06",
+        "summer_peak",
+        "broad_season",
+        "moderate_seasonal_window"
+      ]
+    },
+    {
+      "cluster_id": 6,
+      "n_species": 2,
+      "species": [
+        "Chiffchaff",
+        "Garden Warbler"
+      ],
+      "description": "Cluster of 2 species, mainly representing extended spring seasonal presence. The fitted active window runs roughly from March to July, with a mean peak around April, and and an average width of 4.4 months. It is characterised by broad season and sharp active window. Common high-support traits include broad season, sharp seasonal window, and moderate post peak decline. Compared with the full species set, fit score is lower than the whole-set average and season start month is lower than the whole-set average.",
+      "dominant_model_family": "seasonal_presence",
+      "dominant_primary_class": "extended_spring_seasonal_presence",
+      "numeric_summary": {
+        "peak_month": {
+          "n": 2,
+          "mean": 3.6875,
+          "min": 3.12,
+          "max": 4.255
+        },
+        "season_start_month": {
+          "n": 2,
+          "mean": 2.5325,
+          "min": 2.035,
+          "max": 3.03
+        },
+        "season_end_month": {
+          "n": 2,
+          "mean": 6.9225,
+          "min": 6.495,
+          "max": 7.35
+        },
+        "season_width_months": {
+          "n": 2,
+          "mean": 4.39,
+          "min": 4.32,
+          "max": 4.46
+        },
+        "season_midpoint_month": {
+          "n": 2,
+          "mean": 4.7275,
+          "min": 4.265,
+          "max": 5.19
+        },
+        "fit_score": {
+          "n": 2,
+          "mean": 0.0445,
+          "min": 0.024,
+          "max": 0.065
+        }
+      },
+      "categorical_summary": {
+        "model_family": {
+          "dominant": "seasonal_presence",
+          "dominant_count": 2,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "seasonal_presence",
+              "count": 2,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "primary_class": {
+          "dominant": "extended_spring_seasonal_presence",
+          "dominant_count": 1,
+          "dominant_fraction": 0.5,
+          "values": [
+            {
+              "value": "extended_spring_seasonal_presence",
+              "count": 1,
+              "fraction": 0.5
+            },
+            {
+              "value": "extended_early_spring_seasonal_presence",
+              "count": 1,
+              "fraction": 0.5
+            }
+          ]
+        },
+        "confidence": {
+          "dominant": "high",
+          "dominant_count": 2,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "high",
+              "count": 2,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "timing": {
+          "dominant": "spring",
+          "dominant_count": 1,
+          "dominant_fraction": 0.5,
+          "values": [
+            {
+              "value": "spring",
+              "count": 1,
+              "fraction": 0.5
+            },
+            {
+              "value": "early_spring",
+              "count": 1,
+              "fraction": 0.5
+            }
+          ]
+        },
+        "season_width_class": {
+          "dominant": "broad",
+          "dominant_count": 2,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "broad",
+              "count": 2,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "window_shape": {
+          "dominant": "sharp",
+          "dominant_count": 2,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "sharp",
+              "count": 2,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "post_peak_decline": {
+          "dominant": "moderate",
+          "dominant_count": 2,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 2,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "offseason_suppression": {
+          "dominant": "strong",
+          "dominant_count": 2,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "strong",
+              "count": 2,
+              "fraction": 1.0
+            }
+          ]
+        }
+      },
+      "common_traits": [
+        {
+          "trait": "broad_season",
+          "count": 2,
+          "fraction": 1.0
+        },
+        {
+          "trait": "sharp_seasonal_window",
+          "count": 2,
+          "fraction": 1.0
+        },
+        {
+          "trait": "moderate_post_peak_decline",
+          "count": 2,
+          "fraction": 1.0
+        },
+        {
+          "trait": "strong_offseason_suppression",
+          "count": 2,
+          "fraction": 1.0
+        },
+        {
+          "trait": "early_peak_alignment",
+          "count": 2,
+          "fraction": 1.0
+        },
+        {
+          "trait": "spring_peak",
+          "count": 1,
+          "fraction": 0.5
+        },
+        {
+          "trait": "early_spring_peak",
+          "count": 1,
+          "fraction": 0.5
+        }
+      ],
+      "distinguishing_numeric_features": [
+        {
+          "feature": "fit_score",
+          "cluster_mean": 0.0445,
+          "global_mean": 0.2805,
+          "difference": -0.236,
+          "scaled_difference": -0.41115,
+          "direction": "lower"
+        },
+        {
+          "feature": "season_start_month",
+          "cluster_mean": 2.5325,
+          "global_mean": 3.776186,
+          "difference": -1.243686,
+          "scaled_difference": -0.404451,
+          "direction": "lower"
+        },
+        {
+          "feature": "season_midpoint_month",
+          "cluster_mean": 4.7275,
+          "global_mean": 5.599768,
+          "difference": -0.872268,
+          "scaled_difference": -0.296438,
+          "direction": "lower"
+        },
+        {
+          "feature": "season_width_months",
+          "cluster_mean": 4.39,
+          "global_mean": 3.745714,
+          "difference": 0.644286,
+          "scaled_difference": 0.14693,
+          "direction": "higher"
+        },
+        {
+          "feature": "season_end_month",
+          "cluster_mean": 6.9225,
+          "global_mean": 7.331228,
+          "difference": -0.408728,
+          "scaled_difference": -0.097782,
+          "direction": "lower"
+        },
+        {
+          "feature": "peak_month",
+          "cluster_mean": 3.6875,
+          "global_mean": 3.579196,
+          "difference": 0.108304,
+          "scaled_difference": 0.012034,
+          "direction": "higher"
+        }
+      ],
+      "suggested_label_terms": [
+        "seasonal_presence",
+        "spring",
+        "broad",
+        "extended_spring_seasonal_presence",
+        "mean_peak_month_3.6875",
+        "broad_season",
+        "sharp_seasonal_window",
+        "moderate_post_peak_decline"
+      ]
+    },
+    {
+      "cluster_id": 7,
+      "n_species": 1,
+      "species": [
+        "Jay"
+      ],
+      "description": "Single-species cluster containing Jay, mainly representing resident with summer detectability collapse. Detectability peaks around October and and is lowest around August. The shared pattern includes weak baseline presence, moderate summer suppression, meaningful autumn component, and rapid decline biased response dynamics. Its defining traits include resident detectability pattern, weak baseline presence, and autumn detectability peak. Compared with the full species set, target amplitude is lower than the whole-set average and peak month is lower than the whole-set average.",
+      "dominant_model_family": "resident_detectability",
+      "dominant_primary_class": "resident_with_summer_detectability_collapse",
+      "numeric_summary": {
+        "peak_month": {
+          "n": 1,
+          "mean": 10.0,
+          "min": 10.0,
+          "max": 10.0
+        },
+        "trough_month": {
+          "n": 1,
+          "mean": 8.0,
+          "min": 8.0,
+          "max": 8.0
+        },
+        "target_mean_value": {
+          "n": 1,
+          "mean": 0.108596,
+          "min": 0.108596,
+          "max": 0.108596
+        },
+        "target_amplitude": {
+          "n": 1,
+          "mean": 0.247474,
+          "min": 0.247474,
+          "max": 0.247474
+        },
+        "baseline_to_peak_ratio": {
+          "n": 1,
+          "mean": 0.14547,
+          "min": 0.14547,
+          "max": 0.14547
+        },
+        "autumn_to_winter_weight_ratio": {
+          "n": 1,
+          "mean": 0.130841,
+          "min": 0.130841,
+          "max": 0.130841
+        },
+        "year_end_to_winter_weight_ratio": {
+          "n": 1,
+          "mean": 0.738318,
+          "min": 0.738318,
+          "max": 0.738318
+        },
+        "decay_to_growth_ratio": {
+          "n": 1,
+          "mean": 1.329609,
+          "min": 1.329609,
+          "max": 1.329609
+        },
+        "fit_score": {
+          "n": 1,
+          "mean": 0.581,
+          "min": 0.581,
+          "max": 0.581
+        }
+      },
+      "categorical_summary": {
+        "model_family": {
+          "dominant": "resident_detectability",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "resident_detectability",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "primary_class": {
+          "dominant": "resident_with_summer_detectability_collapse",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "resident_with_summer_detectability_collapse",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "confidence": {
+          "dominant": "low",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "low",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "baseline_presence": {
+          "dominant": "weak",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "weak",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "timing": {
+          "dominant": "autumn",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "autumn",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "summer_suppression": {
+          "dominant": "moderate",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "autumn_component": {
+          "dominant": "meaningful",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "meaningful",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "response_dynamics": {
+          "dominant": "rapid_decline_biased",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "rapid_decline_biased",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        }
+      },
+      "common_traits": [
+        {
+          "trait": "resident_detectability_pattern",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "weak_baseline_presence",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "autumn_detectability_peak",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "summer_detectability_trough",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "weak_spring_carryover",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "moderate_summer_suppression",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "strong_summer_decay_acceleration",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "strong_pre_summer_retention",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "meaningful_autumn_component",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "meaningful_year_end_component",
+          "count": 1,
+          "fraction": 1.0
+        }
+      ],
+      "distinguishing_numeric_features": [
+        {
+          "feature": "target_amplitude",
+          "cluster_mean": 0.247474,
+          "global_mean": 0.638091,
+          "difference": -0.390617,
+          "scaled_difference": -0.659582,
+          "direction": "lower"
+        },
+        {
+          "feature": "peak_month",
+          "cluster_mean": 10.0,
+          "global_mean": 3.579196,
+          "difference": -5.579196,
+          "scaled_difference": -0.619911,
+          "direction": "lower"
+        },
+        {
+          "feature": "fit_score",
+          "cluster_mean": 0.581,
+          "global_mean": 0.2805,
+          "difference": 0.3005,
+          "scaled_difference": 0.523519,
+          "direction": "higher"
+        },
+        {
+          "feature": "target_mean_value",
+          "cluster_mean": 0.108596,
+          "global_mean": 0.417441,
+          "difference": -0.308845,
+          "scaled_difference": -0.40762,
+          "direction": "lower"
+        },
+        {
+          "feature": "year_end_to_winter_weight_ratio",
+          "cluster_mean": 0.738318,
+          "global_mean": 0.455978,
+          "difference": 0.28234,
+          "scaled_difference": 0.397416,
+          "direction": "higher"
+        },
+        {
+          "feature": "autumn_to_winter_weight_ratio",
+          "cluster_mean": 0.130841,
+          "global_mean": 0.072432,
+          "difference": 0.058409,
+          "scaled_difference": 0.276771,
+          "direction": "higher"
+        },
+        {
+          "feature": "baseline_to_peak_ratio",
+          "cluster_mean": 0.14547,
+          "global_mean": 0.293906,
+          "difference": -0.148436,
+          "scaled_difference": -0.249027,
+          "direction": "lower"
+        },
+        {
+          "feature": "decay_to_growth_ratio",
+          "cluster_mean": 1.329609,
+          "global_mean": 1.51443,
+          "difference": -0.184821,
+          "scaled_difference": -0.098038,
+          "direction": "lower"
+        }
+      ],
+      "suggested_label_terms": [
+        "resident_detectability",
+        "autumn",
+        "resident_with_summer_detectability_collapse",
+        "mean_peak_month_10.0",
+        "resident_detectability_pattern",
+        "weak_baseline_presence",
+        "autumn_detectability_peak"
+      ]
+    },
+    {
+      "cluster_id": 8,
+      "n_species": 22,
+      "species": [
+        "Collared Dove",
+        "House Sparrow",
+        "Mallard",
+        "Pied Wagtail",
+        "Chaffinch",
+        "Coal Tit",
+        "Blackcap",
+        "Skylark",
+        "Common Kestrel",
+        "Long Tailed Tit",
+        "Buzzard",
+        "Blackbird",
+        "Blue Tit",
+        "Dunnock",
+        "Canada Goose",
+        "Song Thrush",
+        "Greylag Goose",
+        "Great Tit",
+        "Pheasant",
+        "Rook",
+        "Greenfinch",
+        "Wren"
+      ],
+      "description": "Cluster of 22 species, mainly representing resident with summer detectability collapse. Detectability peaks around April and and is lowest around September. The shared pattern includes weak baseline presence, moderate summer suppression, weak autumn component, and rapid decline biased response dynamics. Common high-support traits include resident detectability pattern, moderate summer suppression, and weak autumn component.",
+      "dominant_model_family": "resident_detectability",
+      "dominant_primary_class": "resident_with_summer_detectability_collapse",
+      "numeric_summary": {
+        "peak_month": {
+          "n": 22,
+          "mean": 4.131832,
+          "min": 3.0,
+          "max": 6.0
+        },
+        "trough_month": {
+          "n": 22,
+          "mean": 8.520587,
+          "min": 5.0,
+          "max": 11.0
+        },
+        "target_mean_value": {
+          "n": 22,
+          "mean": 0.346941,
+          "min": 0.151548,
+          "max": 0.614964
+        },
+        "target_amplitude": {
+          "n": 22,
+          "mean": 0.671323,
+          "min": 0.470688,
+          "max": 0.839693
+        },
+        "baseline_to_peak_ratio": {
+          "n": 22,
+          "mean": 0.22611,
+          "min": 0.048953,
+          "max": 0.50113
+        },
+        "autumn_to_winter_weight_ratio": {
+          "n": 22,
+          "mean": 0.05322,
+          "min": 0.02583,
+          "max": 0.084184
+        },
+        "year_end_to_winter_weight_ratio": {
+          "n": 22,
+          "mean": 0.374369,
+          "min": 0.236162,
+          "max": 0.619266
+        },
+        "decay_to_growth_ratio": {
+          "n": 22,
+          "mean": 1.624465,
+          "min": 0.874426,
+          "max": 2.111575
+        },
+        "fit_score": {
+          "n": 22,
+          "mean": 0.311682,
+          "min": 0.159,
+          "max": 0.549
+        }
+      },
+      "categorical_summary": {
+        "model_family": {
+          "dominant": "resident_detectability",
+          "dominant_count": 22,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "resident_detectability",
+              "count": 22,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "primary_class": {
+          "dominant": "resident_with_summer_detectability_collapse",
+          "dominant_count": 22,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "resident_with_summer_detectability_collapse",
+              "count": 22,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "confidence": {
+          "dominant": "medium",
+          "dominant_count": 9,
+          "dominant_fraction": 0.409091,
+          "values": [
+            {
+              "value": "medium",
+              "count": 9,
+              "fraction": 0.409091
+            },
+            {
+              "value": "low",
+              "count": 8,
+              "fraction": 0.363636
+            },
+            {
+              "value": "high",
+              "count": 5,
+              "fraction": 0.227273
+            }
+          ]
+        },
+        "baseline_presence": {
+          "dominant": "weak",
+          "dominant_count": 10,
+          "dominant_fraction": 0.454545,
+          "values": [
+            {
+              "value": "weak",
+              "count": 10,
+              "fraction": 0.454545
+            },
+            {
+              "value": "strong",
+              "count": 7,
+              "fraction": 0.318182
+            },
+            {
+              "value": "moderate",
+              "count": 5,
+              "fraction": 0.227273
+            }
+          ]
+        },
+        "timing": {
+          "dominant": "spring",
+          "dominant_count": 14,
+          "dominant_fraction": 0.636364,
+          "values": [
+            {
+              "value": "spring",
+              "count": 14,
+              "fraction": 0.636364
+            },
+            {
+              "value": "late_spring_early_summer",
+              "count": 8,
+              "fraction": 0.363636
+            }
+          ]
+        },
+        "summer_suppression": {
+          "dominant": "moderate",
+          "dominant_count": 21,
+          "dominant_fraction": 0.954545,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 21,
+              "fraction": 0.954545
+            },
+            {
+              "value": "strong",
+              "count": 1,
+              "fraction": 0.045455
+            }
+          ]
+        },
+        "autumn_component": {
+          "dominant": "weak",
+          "dominant_count": 20,
+          "dominant_fraction": 0.909091,
+          "values": [
+            {
+              "value": "weak",
+              "count": 20,
+              "fraction": 0.909091
+            },
+            {
+              "value": "minimal",
+              "count": 2,
+              "fraction": 0.090909
+            }
+          ]
+        },
+        "response_dynamics": {
+          "dominant": "rapid_decline_biased",
+          "dominant_count": 17,
+          "dominant_fraction": 0.772727,
+          "values": [
+            {
+              "value": "rapid_decline_biased",
+              "count": 17,
+              "fraction": 0.772727
+            },
+            {
+              "value": "decline_biased",
+              "count": 5,
+              "fraction": 0.227273
+            }
+          ]
+        }
+      },
+      "common_traits": [
+        {
+          "trait": "resident_detectability_pattern",
+          "count": 22,
+          "fraction": 1.0
+        },
+        {
+          "trait": "moderate_summer_suppression",
+          "count": 21,
+          "fraction": 0.954545
+        },
+        {
+          "trait": "weak_autumn_component",
+          "count": 20,
+          "fraction": 0.909091
+        },
+        {
+          "trait": "meaningful_year_end_component",
+          "count": 18,
+          "fraction": 0.818182
+        },
+        {
+          "trait": "rapid_decline_biased_response_dynamics",
+          "count": 17,
+          "fraction": 0.772727
+        },
+        {
+          "trait": "spring_detectability_peak",
+          "count": 14,
+          "fraction": 0.636364
+        },
+        {
+          "trait": "moderate_summer_decay_acceleration",
+          "count": 12,
+          "fraction": 0.545455
+        },
+        {
+          "trait": "strong_pre_summer_retention",
+          "count": 12,
+          "fraction": 0.545455
+        },
+        {
+          "trait": "summer_detectability_trough",
+          "count": 11,
+          "fraction": 0.5
+        },
+        {
+          "trait": "moderate_pre_summer_retention",
+          "count": 10,
+          "fraction": 0.454545
+        }
+      ],
+      "distinguishing_numeric_features": [
+        {
+          "feature": "year_end_to_winter_weight_ratio",
+          "cluster_mean": 0.374369,
+          "global_mean": 0.455978,
+          "difference": -0.081609,
+          "scaled_difference": -0.114871,
+          "direction": "lower"
+        },
+        {
+          "feature": "baseline_to_peak_ratio",
+          "cluster_mean": 0.22611,
+          "global_mean": 0.293906,
+          "difference": -0.067796,
+          "scaled_difference": -0.113739,
+          "direction": "lower"
+        },
+        {
+          "feature": "target_mean_value",
+          "cluster_mean": 0.346941,
+          "global_mean": 0.417441,
+          "difference": -0.0705,
+          "scaled_difference": -0.093047,
+          "direction": "lower"
+        },
+        {
+          "feature": "autumn_to_winter_weight_ratio",
+          "cluster_mean": 0.05322,
+          "global_mean": 0.072432,
+          "difference": -0.019212,
+          "scaled_difference": -0.091036,
+          "direction": "lower"
+        },
+        {
+          "feature": "peak_month",
+          "cluster_mean": 4.131832,
+          "global_mean": 3.579196,
+          "difference": 0.552636,
+          "scaled_difference": 0.061404,
+          "direction": "higher"
+        },
+        {
+          "feature": "decay_to_growth_ratio",
+          "cluster_mean": 1.624465,
+          "global_mean": 1.51443,
+          "difference": 0.110035,
+          "scaled_difference": 0.058368,
+          "direction": "higher"
+        },
+        {
+          "feature": "target_amplitude",
+          "cluster_mean": 0.671323,
+          "global_mean": 0.638091,
+          "difference": 0.033232,
+          "scaled_difference": 0.056114,
+          "direction": "higher"
+        },
+        {
+          "feature": "fit_score",
+          "cluster_mean": 0.311682,
+          "global_mean": 0.2805,
+          "difference": 0.031182,
+          "scaled_difference": 0.054324,
+          "direction": "higher"
+        }
+      ],
+      "suggested_label_terms": [
+        "resident_detectability",
+        "spring",
+        "resident_with_summer_detectability_collapse",
+        "mean_peak_month_4.131832",
+        "resident_detectability_pattern",
+        "moderate_summer_suppression",
+        "weak_autumn_component"
+      ]
+    },
+    {
+      "cluster_id": 9,
+      "n_species": 7,
+      "species": [
+        "Cormorant",
+        "Mistle Thrush",
+        "Robin",
+        "Mute Swan",
+        "Herring Gull",
+        "Black Headed Gull",
+        "Coot"
+      ],
+      "description": "Cluster of 7 species, mainly representing resident with summer detectability collapse. Detectability peaks around February and and is lowest around August. The shared pattern includes weak baseline presence, moderate summer suppression, weak autumn component, and decline biased response dynamics. Common high-support traits include resident detectability pattern, winter detectability peak, and meaningful year end component.",
+      "dominant_model_family": "resident_detectability",
+      "dominant_primary_class": "resident_with_summer_detectability_collapse",
+      "numeric_summary": {
+        "peak_month": {
+          "n": 7,
+          "mean": 2.0,
+          "min": 2.0,
+          "max": 2.0
+        },
+        "trough_month": {
+          "n": 7,
+          "mean": 8.150542,
+          "min": 7.0,
+          "max": 9.0
+        },
+        "target_mean_value": {
+          "n": 7,
+          "mean": 0.348903,
+          "min": 0.138453,
+          "max": 0.577456
+        },
+        "target_amplitude": {
+          "n": 7,
+          "mean": 0.540164,
+          "min": 0.423891,
+          "max": 0.650607
+        },
+        "baseline_to_peak_ratio": {
+          "n": 7,
+          "mean": 0.286477,
+          "min": 0.076952,
+          "max": 0.493738
+        },
+        "autumn_to_winter_weight_ratio": {
+          "n": 7,
+          "mean": 0.079144,
+          "min": 0.052863,
+          "max": 0.133588
+        },
+        "year_end_to_winter_weight_ratio": {
+          "n": 7,
+          "mean": 0.553876,
+          "min": 0.423773,
+          "max": 0.755725
+        },
+        "decay_to_growth_ratio": {
+          "n": 7,
+          "mean": 1.219143,
+          "min": 0.772803,
+          "max": 1.483953
+        },
+        "fit_score": {
+          "n": 7,
+          "mean": 0.247286,
+          "min": 0.154,
+          "max": 0.347
+        }
+      },
+      "categorical_summary": {
+        "model_family": {
+          "dominant": "resident_detectability",
+          "dominant_count": 7,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "resident_detectability",
+              "count": 7,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "primary_class": {
+          "dominant": "resident_with_summer_detectability_collapse",
+          "dominant_count": 7,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "resident_with_summer_detectability_collapse",
+              "count": 7,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "confidence": {
+          "dominant": "medium",
+          "dominant_count": 6,
+          "dominant_fraction": 0.857143,
+          "values": [
+            {
+              "value": "medium",
+              "count": 6,
+              "fraction": 0.857143
+            },
+            {
+              "value": "high",
+              "count": 1,
+              "fraction": 0.142857
+            }
+          ]
+        },
+        "baseline_presence": {
+          "dominant": "weak",
+          "dominant_count": 3,
+          "dominant_fraction": 0.428571,
+          "values": [
+            {
+              "value": "weak",
+              "count": 3,
+              "fraction": 0.428571
+            },
+            {
+              "value": "moderate",
+              "count": 2,
+              "fraction": 0.285714
+            },
+            {
+              "value": "strong",
+              "count": 2,
+              "fraction": 0.285714
+            }
+          ]
+        },
+        "timing": {
+          "dominant": "winter",
+          "dominant_count": 7,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "winter",
+              "count": 7,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "summer_suppression": {
+          "dominant": "moderate",
+          "dominant_count": 5,
+          "dominant_fraction": 0.714286,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 5,
+              "fraction": 0.714286
+            },
+            {
+              "value": "strong",
+              "count": 2,
+              "fraction": 0.285714
+            }
+          ]
+        },
+        "autumn_component": {
+          "dominant": "weak",
+          "dominant_count": 6,
+          "dominant_fraction": 0.857143,
+          "values": [
+            {
+              "value": "weak",
+              "count": 6,
+              "fraction": 0.857143
+            },
+            {
+              "value": "meaningful",
+              "count": 1,
+              "fraction": 0.142857
+            }
+          ]
+        },
+        "response_dynamics": {
+          "dominant": "decline_biased",
+          "dominant_count": 5,
+          "dominant_fraction": 0.714286,
+          "values": [
+            {
+              "value": "decline_biased",
+              "count": 5,
+              "fraction": 0.714286
+            },
+            {
+              "value": "rapid_decline_biased",
+              "count": 2,
+              "fraction": 0.285714
+            }
+          ]
+        }
+      },
+      "common_traits": [
+        {
+          "trait": "resident_detectability_pattern",
+          "count": 7,
+          "fraction": 1.0
+        },
+        {
+          "trait": "winter_detectability_peak",
+          "count": 7,
+          "fraction": 1.0
+        },
+        {
+          "trait": "meaningful_year_end_component",
+          "count": 7,
+          "fraction": 1.0
+        },
+        {
+          "trait": "strong_pre_summer_retention",
+          "count": 6,
+          "fraction": 0.857143
+        },
+        {
+          "trait": "weak_autumn_component",
+          "count": 6,
+          "fraction": 0.857143
+        },
+        {
+          "trait": "moderate_summer_suppression",
+          "count": 5,
+          "fraction": 0.714286
+        },
+        {
+          "trait": "moderate_summer_decay_acceleration",
+          "count": 5,
+          "fraction": 0.714286
+        },
+        {
+          "trait": "decline_biased_response_dynamics",
+          "count": 5,
+          "fraction": 0.714286
+        },
+        {
+          "trait": "summer_detectability_trough",
+          "count": 4,
+          "fraction": 0.571429
+        },
+        {
+          "trait": "weak_spring_carryover",
+          "count": 4,
+          "fraction": 0.571429
+        }
+      ],
+      "distinguishing_numeric_features": [
+        {
+          "feature": "peak_month",
+          "cluster_mean": 2.0,
+          "global_mean": 3.579196,
+          "difference": -1.579196,
+          "scaled_difference": -0.175466,
+          "direction": "lower"
+        },
+        {
+          "feature": "target_amplitude",
+          "cluster_mean": 0.540164,
+          "global_mean": 0.638091,
+          "difference": -0.097927,
+          "scaled_difference": -0.165356,
+          "direction": "lower"
+        },
+        {
+          "feature": "decay_to_growth_ratio",
+          "cluster_mean": 1.219143,
+          "global_mean": 1.51443,
+          "difference": -0.295287,
+          "scaled_difference": -0.156634,
+          "direction": "lower"
+        },
+        {
+          "feature": "year_end_to_winter_weight_ratio",
+          "cluster_mean": 0.553876,
+          "global_mean": 0.455978,
+          "difference": 0.097898,
+          "scaled_difference": 0.137799,
+          "direction": "higher"
+        },
+        {
+          "feature": "target_mean_value",
+          "cluster_mean": 0.348903,
+          "global_mean": 0.417441,
+          "difference": -0.068538,
+          "scaled_difference": -0.090458,
+          "direction": "lower"
+        },
+        {
+          "feature": "fit_score",
+          "cluster_mean": 0.247286,
+          "global_mean": 0.2805,
+          "difference": -0.033214,
+          "scaled_difference": -0.057864,
+          "direction": "lower"
+        },
+        {
+          "feature": "autumn_to_winter_weight_ratio",
+          "cluster_mean": 0.079144,
+          "global_mean": 0.072432,
+          "difference": 0.006712,
+          "scaled_difference": 0.031805,
+          "direction": "higher"
+        },
+        {
+          "feature": "trough_month",
+          "cluster_mean": 8.150542,
+          "global_mean": 8.334613,
+          "difference": -0.184071,
+          "scaled_difference": -0.030678,
+          "direction": "lower"
+        }
+      ],
+      "suggested_label_terms": [
+        "resident_detectability",
+        "winter",
+        "resident_with_summer_detectability_collapse",
+        "mean_peak_month_2.0",
+        "resident_detectability_pattern",
+        "winter_detectability_peak",
+        "meaningful_year_end_component"
+      ]
+    },
+    {
+      "cluster_id": 10,
+      "n_species": 8,
+      "species": [
+        "Grey Heron",
+        "Jackdaw",
+        "Red Kite",
+        "Goldfinch",
+        "Woodpigeon",
+        "Common Starling",
+        "Crow",
+        "Magpie"
+      ],
+      "description": "Cluster of 8 species, mainly representing resident with spring persistence and summer suppression. Detectability peaks around March and and is lowest around August. The shared pattern includes strong baseline presence, strong summer suppression, weak autumn component, and rapid decline biased response dynamics. Common high-support traits include resident detectability pattern, strong baseline presence, and strong summer suppression. Compared with the full species set, target mean value is higher than the whole-set average and baseline to peak ratio is higher than the whole-set average.",
+      "dominant_model_family": "resident_detectability",
+      "dominant_primary_class": "resident_with_spring_persistence_and_summer_suppression",
+      "numeric_summary": {
+        "peak_month": {
+          "n": 8,
+          "mean": 2.67961,
+          "min": 2.0,
+          "max": 5.0
+        },
+        "trough_month": {
+          "n": 8,
+          "mean": 8.350204,
+          "min": 8.0,
+          "max": 10.0
+        },
+        "target_mean_value": {
+          "n": 8,
+          "mean": 0.709894,
+          "min": 0.442509,
+          "max": 0.866275
+        },
+        "target_amplitude": {
+          "n": 8,
+          "mean": 0.681217,
+          "min": 0.534852,
+          "max": 0.755396
+        },
+        "baseline_to_peak_ratio": {
+          "n": 8,
+          "mean": 0.5054,
+          "min": 0.367774,
+          "max": 0.645018
+        },
+        "autumn_to_winter_weight_ratio": {
+          "n": 8,
+          "mean": 0.091537,
+          "min": 0.062874,
+          "max": 0.135922
+        },
+        "year_end_to_winter_weight_ratio": {
+          "n": 8,
+          "mean": 0.559447,
+          "min": 0.361702,
+          "max": 0.946602
+        },
+        "decay_to_growth_ratio": {
+          "n": 8,
+          "mean": 1.350365,
+          "min": 0.934249,
+          "max": 1.610954
+        },
+        "fit_score": {
+          "n": 8,
+          "mean": 0.4185,
+          "min": 0.206,
+          "max": 0.497
+        }
+      },
+      "categorical_summary": {
+        "model_family": {
+          "dominant": "resident_detectability",
+          "dominant_count": 8,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "resident_detectability",
+              "count": 8,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "primary_class": {
+          "dominant": "resident_with_spring_persistence_and_summer_suppression",
+          "dominant_count": 8,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "resident_with_spring_persistence_and_summer_suppression",
+              "count": 8,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "confidence": {
+          "dominant": "low",
+          "dominant_count": 6,
+          "dominant_fraction": 0.75,
+          "values": [
+            {
+              "value": "low",
+              "count": 6,
+              "fraction": 0.75
+            },
+            {
+              "value": "medium",
+              "count": 2,
+              "fraction": 0.25
+            }
+          ]
+        },
+        "baseline_presence": {
+          "dominant": "strong",
+          "dominant_count": 8,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "strong",
+              "count": 8,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "timing": {
+          "dominant": "winter",
+          "dominant_count": 5,
+          "dominant_fraction": 0.625,
+          "values": [
+            {
+              "value": "winter",
+              "count": 5,
+              "fraction": 0.625
+            },
+            {
+              "value": "spring",
+              "count": 2,
+              "fraction": 0.25
+            },
+            {
+              "value": "late_spring_early_summer",
+              "count": 1,
+              "fraction": 0.125
+            }
+          ]
+        },
+        "summer_suppression": {
+          "dominant": "strong",
+          "dominant_count": 8,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "strong",
+              "count": 8,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "autumn_component": {
+          "dominant": "weak",
+          "dominant_count": 7,
+          "dominant_fraction": 0.875,
+          "values": [
+            {
+              "value": "weak",
+              "count": 7,
+              "fraction": 0.875
+            },
+            {
+              "value": "meaningful",
+              "count": 1,
+              "fraction": 0.125
+            }
+          ]
+        },
+        "response_dynamics": {
+          "dominant": "rapid_decline_biased",
+          "dominant_count": 6,
+          "dominant_fraction": 0.75,
+          "values": [
+            {
+              "value": "rapid_decline_biased",
+              "count": 6,
+              "fraction": 0.75
+            },
+            {
+              "value": "decline_biased",
+              "count": 2,
+              "fraction": 0.25
+            }
+          ]
+        }
+      },
+      "common_traits": [
+        {
+          "trait": "resident_detectability_pattern",
+          "count": 8,
+          "fraction": 1.0
+        },
+        {
+          "trait": "strong_baseline_presence",
+          "count": 8,
+          "fraction": 1.0
+        },
+        {
+          "trait": "strong_summer_suppression",
+          "count": 8,
+          "fraction": 1.0
+        },
+        {
+          "trait": "meaningful_year_end_component",
+          "count": 8,
+          "fraction": 1.0
+        },
+        {
+          "trait": "weak_autumn_component",
+          "count": 7,
+          "fraction": 0.875
+        },
+        {
+          "trait": "summer_detectability_trough",
+          "count": 6,
+          "fraction": 0.75
+        },
+        {
+          "trait": "strong_pre_summer_retention",
+          "count": 6,
+          "fraction": 0.75
+        },
+        {
+          "trait": "rapid_decline_biased_response_dynamics",
+          "count": 6,
+          "fraction": 0.75
+        },
+        {
+          "trait": "strong_summer_decay_acceleration",
+          "count": 5,
+          "fraction": 0.625
+        },
+        {
+          "trait": "winter_detectability_peak",
+          "count": 5,
+          "fraction": 0.625
+        }
+      ],
+      "distinguishing_numeric_features": [
+        {
+          "feature": "target_mean_value",
+          "cluster_mean": 0.709894,
+          "global_mean": 0.417441,
+          "difference": 0.292453,
+          "scaled_difference": 0.385985,
+          "direction": "higher"
+        },
+        {
+          "feature": "baseline_to_peak_ratio",
+          "cluster_mean": 0.5054,
+          "global_mean": 0.293906,
+          "difference": 0.211494,
+          "scaled_difference": 0.354817,
+          "direction": "higher"
+        },
+        {
+          "feature": "fit_score",
+          "cluster_mean": 0.4185,
+          "global_mean": 0.2805,
+          "difference": 0.138,
+          "scaled_difference": 0.240418,
+          "direction": "higher"
+        },
+        {
+          "feature": "year_end_to_winter_weight_ratio",
+          "cluster_mean": 0.559447,
+          "global_mean": 0.455978,
+          "difference": 0.103469,
+          "scaled_difference": 0.145641,
+          "direction": "higher"
+        },
+        {
+          "feature": "peak_month",
+          "cluster_mean": 2.67961,
+          "global_mean": 3.579196,
+          "difference": -0.899586,
+          "scaled_difference": -0.099954,
+          "direction": "lower"
+        },
+        {
+          "feature": "autumn_to_winter_weight_ratio",
+          "cluster_mean": 0.091537,
+          "global_mean": 0.072432,
+          "difference": 0.019105,
+          "scaled_difference": 0.090529,
+          "direction": "higher"
+        },
+        {
+          "feature": "decay_to_growth_ratio",
+          "cluster_mean": 1.350365,
+          "global_mean": 1.51443,
+          "difference": -0.164065,
+          "scaled_difference": -0.087028,
+          "direction": "lower"
+        },
+        {
+          "feature": "target_amplitude",
+          "cluster_mean": 0.681217,
+          "global_mean": 0.638091,
+          "difference": 0.043126,
+          "scaled_difference": 0.072821,
+          "direction": "higher"
+        }
+      ],
+      "suggested_label_terms": [
+        "resident_detectability",
+        "winter",
+        "resident_with_spring_persistence_and_summer_suppression",
+        "mean_peak_month_2.67961",
+        "resident_detectability_pattern",
+        "strong_baseline_presence",
+        "strong_summer_suppression"
+      ]
+    }
+  ]
+}
\ No newline at end of file
diff --git a/modelling/data/abingdon-birds/analysis/cluster_dendrogram.png b/modelling/data/abingdon-birds/analysis/cluster_dendrogram.png
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diff --git a/modelling/data/abingdon-birds/analysis/cluster_summary.txt b/modelling/data/abingdon-birds/analysis/cluster_summary.txt
new file mode 100644
index 0000000..2273a76
--- /dev/null
+++ b/modelling/data/abingdon-birds/analysis/cluster_summary.txt
@@ -0,0 +1,244 @@
+
+Species clusters
+================
+
+Cluster 1
+---------
+Single-species cluster containing Redwing, mainly representing winter visitor with autumn arrival component. The defining pattern is a winter peak around January, a moderate autumn component, moderate summer suppression, and slow arrival fast departure response dynamics. Its defining traits include year wrapping winter presence, core winter winter peak, and moderate autumn component. Compared with the full species set, autumn to winter weight ratio is higher than the whole-set average and decay to growth ratio is higher than the whole-set average.
+
+Species (1):
+  Redwing
+
+Dominant model family : winter_presence
+Dominant class        : winter_visitor_with_autumn_arrival_component
+Common traits         : year_wrapping_winter_presence (1, 100%), core_winter_winter_peak (1, 100%), moderate_autumn_component (1, 100%), moderate_summer_suppression (1, 100%), low_baseline_presence (1, 100%)
+
+Peak month mean/range : 1.00 (1.00 - 1.00)
+
+Distinguishing numeric features:
+  - autumn_to_winter_weight_ratio (higher, scaled_difference=0.78)
+  - decay_to_growth_ratio (higher, scaled_difference=0.61)
+  - trough_month (lower, scaled_difference=-0.56)
+  - peak_month (lower, scaled_difference=-0.29)
+  - fit_score (lower, scaled_difference=-0.27)
+
+Cluster 2
+---------
+Single-species cluster containing Swallow, mainly representing extended spring seasonal presence. The fitted active window runs roughly from April to October, with a mean peak around May, and and an average width of 6.2 months. It is characterised by very broad season and sharp active window. Its defining traits include spring peak, very broad season, and sharp seasonal window. Compared with the full species set, season end month is higher than the whole-set average and season width months is higher than the whole-set average.
+
+Species (1):
+  Swallow
+
+Dominant model family : seasonal_presence
+Dominant class        : extended_spring_seasonal_presence
+Common traits         : spring_peak (1, 100%), very_broad_season (1, 100%), sharp_seasonal_window (1, 100%), moderate_post_peak_decline (1, 100%), moderate_offseason_suppression (1, 100%)
+
+Peak month mean/range : 5.47 (5.47 - 5.47)
+Season width mean     : 6.21 months
+
+Distinguishing numeric features:
+  - season_end_month (higher, scaled_difference=0.71)
+  - season_width_months (higher, scaled_difference=0.56)
+  - season_midpoint_month (higher, scaled_difference=0.54)
+  - fit_score (lower, scaled_difference=-0.41)
+  - peak_month (higher, scaled_difference=0.21)
+
+Cluster 3
+---------
+Single-species cluster containing Cuckoo, mainly representing narrow spring seasonal presence. The fitted active window runs roughly from April to June, with a mean peak around May, and and an average width of 1.8 months. It is characterised by narrow season and sharp active window. Its defining traits include spring peak, narrow season, and sharp seasonal window. Compared with the full species set, fit score is lower than the whole-set average and season width months is lower than the whole-set average.
+
+Species (1):
+  Cuckoo
+
+Dominant model family : seasonal_presence
+Dominant class        : narrow_spring_seasonal_presence
+Common traits         : spring_peak (1, 100%), narrow_season (1, 100%), sharp_seasonal_window (1, 100%), moderate_post_peak_decline (1, 100%), strong_offseason_suppression (1, 100%)
+
+Peak month mean/range : 5.49 (5.49 - 5.49)
+Season width mean     : 1.83 months
+
+Distinguishing numeric features:
+  - fit_score (lower, scaled_difference=-0.48)
+  - season_width_months (lower, scaled_difference=-0.44)
+  - season_end_month (lower, scaled_difference=-0.27)
+  - peak_month (higher, scaled_difference=0.21)
+  - season_start_month (higher, scaled_difference=0.19)
+
+Cluster 4
+---------
+Cluster of 2 species, mainly representing moderate spring seasonal presence. The fitted active window runs roughly from April to June, with a mean peak around May, and and an average width of 2.6 months. It is characterised by moderate season and moderate active window. Common high-support traits include spring peak, moderate season, and moderate seasonal window. Compared with the full species set, fit score is lower than the whole-set average and season width months is lower than the whole-set average.
+
+Species (2):
+  Reed Warbler
+  Whitethroat
+
+Dominant model family : seasonal_presence
+Dominant class        : moderate_spring_seasonal_presence
+Common traits         : spring_peak (2, 100%), moderate_season (2, 100%), moderate_seasonal_window (2, 100%), strong_post_peak_decline (2, 100%), central_peak_alignment (2, 100%)
+
+Peak month mean/range : 4.66 (4.12 - 5.19)
+Season width mean     : 2.60 months
+
+Distinguishing numeric features:
+  - fit_score (lower, scaled_difference=-0.41)
+  - season_width_months (lower, scaled_difference=-0.26)
+  - season_end_month (lower, scaled_difference=-0.21)
+  - season_midpoint_month (lower, scaled_difference=-0.16)
+  - peak_month (higher, scaled_difference=0.12)
+
+Cluster 5
+---------
+Single-species cluster containing Swift, mainly representing extended summer seasonal presence. The fitted active window runs roughly from May to September, with a mean peak around June, and and an average width of 4.2 months. It is characterised by broad season and moderate active window. Its defining traits include summer peak, broad season, and moderate seasonal window. Compared with the full species set, season midpoint month is higher than the whole-set average and season end month is higher than the whole-set average.
+
+Species (1):
+  Swift
+
+Dominant model family : seasonal_presence
+Dominant class        : extended_summer_seasonal_presence
+Common traits         : summer_peak (1, 100%), broad_season (1, 100%), moderate_seasonal_window (1, 100%), strong_post_peak_decline (1, 100%), strong_offseason_suppression (1, 100%)
+
+Peak month mean/range : 6.06 (6.06 - 6.06)
+Season width mean     : 4.20 months
+
+Distinguishing numeric features:
+  - season_midpoint_month (higher, scaled_difference=0.55)
+  - season_end_month (higher, scaled_difference=0.47)
+  - fit_score (lower, scaled_difference=-0.44)
+  - season_start_month (higher, scaled_difference=0.43)
+  - peak_month (higher, scaled_difference=0.28)
+
+Cluster 6
+---------
+Cluster of 2 species, mainly representing extended spring seasonal presence. The fitted active window runs roughly from March to July, with a mean peak around April, and and an average width of 4.4 months. It is characterised by broad season and sharp active window. Common high-support traits include broad season, sharp seasonal window, and moderate post peak decline. Compared with the full species set, fit score is lower than the whole-set average and season start month is lower than the whole-set average.
+
+Species (2):
+  Chiffchaff
+  Garden Warbler
+
+Dominant model family : seasonal_presence
+Dominant class        : extended_spring_seasonal_presence
+Common traits         : broad_season (2, 100%), sharp_seasonal_window (2, 100%), moderate_post_peak_decline (2, 100%), strong_offseason_suppression (2, 100%), early_peak_alignment (2, 100%)
+
+Peak month mean/range : 3.69 (3.12 - 4.25)
+Season width mean     : 4.39 months
+
+Distinguishing numeric features:
+  - fit_score (lower, scaled_difference=-0.41)
+  - season_start_month (lower, scaled_difference=-0.40)
+  - season_midpoint_month (lower, scaled_difference=-0.30)
+  - season_width_months (higher, scaled_difference=0.15)
+  - season_end_month (lower, scaled_difference=-0.10)
+
+Cluster 7
+---------
+Single-species cluster containing Jay, mainly representing resident with summer detectability collapse. Detectability peaks around October and and is lowest around August. The shared pattern includes weak baseline presence, moderate summer suppression, meaningful autumn component, and rapid decline biased response dynamics. Its defining traits include resident detectability pattern, weak baseline presence, and autumn detectability peak. Compared with the full species set, target amplitude is lower than the whole-set average and peak month is lower than the whole-set average.
+
+Species (1):
+  Jay
+
+Dominant model family : resident_detectability
+Dominant class        : resident_with_summer_detectability_collapse
+Common traits         : resident_detectability_pattern (1, 100%), weak_baseline_presence (1, 100%), autumn_detectability_peak (1, 100%), summer_detectability_trough (1, 100%), weak_spring_carryover (1, 100%)
+
+Peak month mean/range : 10.00 (10.00 - 10.00)
+
+Distinguishing numeric features:
+  - target_amplitude (lower, scaled_difference=-0.66)
+  - peak_month (lower, scaled_difference=-0.62)
+  - fit_score (higher, scaled_difference=0.52)
+  - target_mean_value (lower, scaled_difference=-0.41)
+  - year_end_to_winter_weight_ratio (higher, scaled_difference=0.40)
+
+Cluster 8
+---------
+Cluster of 22 species, mainly representing resident with summer detectability collapse. Detectability peaks around April and and is lowest around September. The shared pattern includes weak baseline presence, moderate summer suppression, weak autumn component, and rapid decline biased response dynamics. Common high-support traits include resident detectability pattern, moderate summer suppression, and weak autumn component.
+
+Species (22):
+  Collared Dove
+  House Sparrow
+  Mallard
+  Pied Wagtail
+  Chaffinch
+  Coal Tit
+  Blackcap
+  Skylark
+  Common Kestrel
+  Long Tailed Tit
+  Buzzard
+  Blackbird
+  Blue Tit
+  Dunnock
+  Canada Goose
+  Song Thrush
+  Greylag Goose
+  Great Tit
+  Pheasant
+  Rook
+  Greenfinch
+  Wren
+
+Dominant model family : resident_detectability
+Dominant class        : resident_with_summer_detectability_collapse
+Common traits         : resident_detectability_pattern (22, 100%), moderate_summer_suppression (21, 95%), weak_autumn_component (20, 91%), meaningful_year_end_component (18, 82%), rapid_decline_biased_response_dynamics (17, 77%)
+
+Peak month mean/range : 4.13 (3.00 - 6.00)
+
+Distinguishing numeric features:
+  - year_end_to_winter_weight_ratio (lower, scaled_difference=-0.11)
+  - baseline_to_peak_ratio (lower, scaled_difference=-0.11)
+  - target_mean_value (lower, scaled_difference=-0.09)
+  - autumn_to_winter_weight_ratio (lower, scaled_difference=-0.09)
+  - peak_month (higher, scaled_difference=0.06)
+
+Cluster 9
+---------
+Cluster of 7 species, mainly representing resident with summer detectability collapse. Detectability peaks around February and and is lowest around August. The shared pattern includes weak baseline presence, moderate summer suppression, weak autumn component, and decline biased response dynamics. Common high-support traits include resident detectability pattern, winter detectability peak, and meaningful year end component.
+
+Species (7):
+  Cormorant
+  Mistle Thrush
+  Robin
+  Mute Swan
+  Herring Gull
+  Black Headed Gull
+  Coot
+
+Dominant model family : resident_detectability
+Dominant class        : resident_with_summer_detectability_collapse
+Common traits         : resident_detectability_pattern (7, 100%), winter_detectability_peak (7, 100%), meaningful_year_end_component (7, 100%), strong_pre_summer_retention (6, 86%), weak_autumn_component (6, 86%)
+
+Peak month mean/range : 2.00 (2.00 - 2.00)
+
+Distinguishing numeric features:
+  - peak_month (lower, scaled_difference=-0.18)
+  - target_amplitude (lower, scaled_difference=-0.17)
+  - decay_to_growth_ratio (lower, scaled_difference=-0.16)
+  - year_end_to_winter_weight_ratio (higher, scaled_difference=0.14)
+  - target_mean_value (lower, scaled_difference=-0.09)
+
+Cluster 10
+----------
+Cluster of 8 species, mainly representing resident with spring persistence and summer suppression. Detectability peaks around March and and is lowest around August. The shared pattern includes strong baseline presence, strong summer suppression, weak autumn component, and rapid decline biased response dynamics. Common high-support traits include resident detectability pattern, strong baseline presence, and strong summer suppression. Compared with the full species set, target mean value is higher than the whole-set average and baseline to peak ratio is higher than the whole-set average.
+
+Species (8):
+  Grey Heron
+  Jackdaw
+  Red Kite
+  Goldfinch
+  Woodpigeon
+  Common Starling
+  Crow
+  Magpie
+
+Dominant model family : resident_detectability
+Dominant class        : resident_with_spring_persistence_and_summer_suppression
+Common traits         : resident_detectability_pattern (8, 100%), strong_baseline_presence (8, 100%), strong_summer_suppression (8, 100%), meaningful_year_end_component (8, 100%), weak_autumn_component (7, 88%)
+
+Peak month mean/range : 2.68 (2.00 - 5.00)
+
+Distinguishing numeric features:
+  - target_mean_value (higher, scaled_difference=0.39)
+  - baseline_to_peak_ratio (higher, scaled_difference=0.35)
+  - fit_score (higher, scaled_difference=0.24)
+  - year_end_to_winter_weight_ratio (higher, scaled_difference=0.15)
+  - peak_month (lower, scaled_difference=-0.10)
diff --git a/modelling/data/abingdon-birds/analysis/extracted_clusters.json b/modelling/data/abingdon-birds/analysis/extracted_clusters.json
new file mode 100644
index 0000000..ce9d5d4
--- /dev/null
+++ b/modelling/data/abingdon-birds/analysis/extracted_clusters.json
@@ -0,0 +1,136 @@
+{
+  "schema_version": "seasonal-ecological-calendar-clusters/v1",
+  "source_schema_version": "species-similarity-clusters/v2",
+  "source_created_utc": "2026-05-21T10:27:39.047993+00:00",
+  "n_species": 46,
+  "n_clusters": 10,
+  "cluster_caveat": "Clusters should be interpreted as exploratory seasonal assemblages rather than fixed ecological categories.",
+  "clusters": [
+    {
+      "cluster_id": 1,
+      "calendar_label": "Redwing neighbourhood",
+      "description": "Single-species cluster containing Redwing, mainly representing winter visitor with autumn arrival component. The defining pattern is a winter peak around January, a moderate autumn component, moderate summer suppression, and slow arrival fast departure response dynamics. Its defining traits include year wrapping winter presence, core winter winter peak, and moderate autumn component. Compared with the full species set, autumn to winter weight ratio is higher than the whole-set average and decay to growth ratio is higher than the whole-set average.",
+      "n_species": 1,
+      "species": [
+        "Redwing"
+      ]
+    },
+    {
+      "cluster_id": 2,
+      "calendar_label": "Swallow neighbourhood",
+      "description": "Single-species cluster containing Swallow, mainly representing extended spring seasonal presence. The fitted active window runs roughly from April to October, with a mean peak around May, and and an average width of 6.2 months. It is characterised by very broad season and sharp active window. Its defining traits include spring peak, very broad season, and sharp seasonal window. Compared with the full species set, season end month is higher than the whole-set average and season width months is higher than the whole-set average.",
+      "n_species": 1,
+      "species": [
+        "Swallow"
+      ]
+    },
+    {
+      "cluster_id": 3,
+      "calendar_label": "Cuckoo neighbourhood",
+      "description": "Single-species cluster containing Cuckoo, mainly representing narrow spring seasonal presence. The fitted active window runs roughly from April to June, with a mean peak around May, and and an average width of 1.8 months. It is characterised by narrow season and sharp active window. Its defining traits include spring peak, narrow season, and sharp seasonal window. Compared with the full species set, fit score is lower than the whole-set average and season width months is lower than the whole-set average.",
+      "n_species": 1,
+      "species": [
+        "Cuckoo"
+      ]
+    },
+    {
+      "cluster_id": 4,
+      "calendar_label": "Moderate Spring Seasonal Presence",
+      "description": "Cluster of 2 species, mainly representing moderate spring seasonal presence. The fitted active window runs roughly from April to June, with a mean peak around May, and and an average width of 2.6 months. It is characterised by moderate season and moderate active window. Common high-support traits include spring peak, moderate season, and moderate seasonal window. Compared with the full species set, fit score is lower than the whole-set average and season width months is lower than the whole-set average.",
+      "n_species": 2,
+      "species": [
+        "Reed Warbler",
+        "Whitethroat"
+      ]
+    },
+    {
+      "cluster_id": 5,
+      "calendar_label": "Swift neighbourhood",
+      "description": "Single-species cluster containing Swift, mainly representing extended summer seasonal presence. The fitted active window runs roughly from May to September, with a mean peak around June, and and an average width of 4.2 months. It is characterised by broad season and moderate active window. Its defining traits include summer peak, broad season, and moderate seasonal window. Compared with the full species set, season midpoint month is higher than the whole-set average and season end month is higher than the whole-set average.",
+      "n_species": 1,
+      "species": [
+        "Swift"
+      ]
+    },
+    {
+      "cluster_id": 6,
+      "calendar_label": "Extended Spring Seasonal Presence",
+      "description": "Cluster of 2 species, mainly representing extended spring seasonal presence. The fitted active window runs roughly from March to July, with a mean peak around April, and and an average width of 4.4 months. It is characterised by broad season and sharp active window. Common high-support traits include broad season, sharp seasonal window, and moderate post peak decline. Compared with the full species set, fit score is lower than the whole-set average and season start month is lower than the whole-set average.",
+      "n_species": 2,
+      "species": [
+        "Chiffchaff",
+        "Garden Warbler"
+      ]
+    },
+    {
+      "cluster_id": 7,
+      "calendar_label": "Jay neighbourhood",
+      "description": "Single-species cluster containing Jay, mainly representing resident with summer detectability collapse. Detectability peaks around October and and is lowest around August. The shared pattern includes weak baseline presence, moderate summer suppression, meaningful autumn component, and rapid decline biased response dynamics. Its defining traits include resident detectability pattern, weak baseline presence, and autumn detectability peak. Compared with the full species set, target amplitude is lower than the whole-set average and peak month is lower than the whole-set average.",
+      "n_species": 1,
+      "species": [
+        "Jay"
+      ]
+    },
+    {
+      "cluster_id": 8,
+      "calendar_label": "Resident With Summer Detectability Collapse",
+      "description": "Cluster of 22 species, mainly representing resident with summer detectability collapse. Detectability peaks around April and and is lowest around September. The shared pattern includes weak baseline presence, moderate summer suppression, weak autumn component, and rapid decline biased response dynamics. Common high-support traits include resident detectability pattern, moderate summer suppression, and weak autumn component.",
+      "n_species": 22,
+      "species": [
+        "Collared Dove",
+        "House Sparrow",
+        "Mallard",
+        "Pied Wagtail",
+        "Chaffinch",
+        "Coal Tit",
+        "Blackcap",
+        "Skylark",
+        "Common Kestrel",
+        "Long Tailed Tit",
+        "Buzzard",
+        "Blackbird",
+        "Blue Tit",
+        "Dunnock",
+        "Canada Goose",
+        "Song Thrush",
+        "Greylag Goose",
+        "Great Tit",
+        "Pheasant",
+        "Rook",
+        "Greenfinch",
+        "Wren"
+      ]
+    },
+    {
+      "cluster_id": 9,
+      "calendar_label": "Resident With Summer Detectability Collapse",
+      "description": "Cluster of 7 species, mainly representing resident with summer detectability collapse. Detectability peaks around February and and is lowest around August. The shared pattern includes weak baseline presence, moderate summer suppression, weak autumn component, and decline biased response dynamics. Common high-support traits include resident detectability pattern, winter detectability peak, and meaningful year end component.",
+      "n_species": 7,
+      "species": [
+        "Cormorant",
+        "Mistle Thrush",
+        "Robin",
+        "Mute Swan",
+        "Herring Gull",
+        "Black Headed Gull",
+        "Coot"
+      ]
+    },
+    {
+      "cluster_id": 10,
+      "calendar_label": "Resident With Spring Persistence And Summer Suppression",
+      "description": "Cluster of 8 species, mainly representing resident with spring persistence and summer suppression. Detectability peaks around March and and is lowest around August. The shared pattern includes strong baseline presence, strong summer suppression, weak autumn component, and rapid decline biased response dynamics. Common high-support traits include resident detectability pattern, strong baseline presence, and strong summer suppression. Compared with the full species set, target mean value is higher than the whole-set average and baseline to peak ratio is higher than the whole-set average.",
+      "n_species": 8,
+      "species": [
+        "Grey Heron",
+        "Jackdaw",
+        "Red Kite",
+        "Goldfinch",
+        "Woodpigeon",
+        "Common Starling",
+        "Crow",
+        "Magpie"
+      ]
+    }
+  ]
+}
\ No newline at end of file
diff --git a/modelling/data/abingdon-birds/analysis/feature_matrix.json b/modelling/data/abingdon-birds/analysis/feature_matrix.json
new file mode 100644
index 0000000..abe601a
--- /dev/null
+++ b/modelling/data/abingdon-birds/analysis/feature_matrix.json
@@ -0,0 +1,2363 @@
+{
+  "schema_version": "species-feature-table/v1",
+  "created_utc": "2026-05-21T10:27:38.053957+00:00",
+  "description": "Whole-set seasonal ecology feature table compiled from per-species classification JSON files.",
+  "n_species": 46,
+  "source_files": [
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/black_headed_gull_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/blackbird_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/blackcap_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/blue_tit_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/buzzard_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/canada_goose_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/chaffinch_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/coal_tit_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/collared_dove_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/common_kestrel_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/common_starling_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/coot_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/cormorant_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/crow_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/dunnock_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/goldfinch_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/great_tit_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/greenfinch_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/grey_heron_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/greylag_goose_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/herring_gull_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/house_sparrow_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/jackdaw_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/jay_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/long_tailed_tit_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/magpie_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/mallard_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/mistle_thrush_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/mute_swan_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/pheasant_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/pied_wagtail_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/red_kite_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/robin_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/rook_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/skylark_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/song_thrush_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/woodpigeon_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/wren_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/seasonal/chiffchaff_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/seasonal/cuckoo_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/seasonal/garden_warbler_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/seasonal/reed_warbler_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/seasonal/swallow_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/seasonal/swift_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/seasonal/whitethroat_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/winter/redwing_classification.json"
+  ],
+  "features": [
+    {
+      "species": "Black Headed Gull",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "medium",
+      "fit_score": 0.224,
+      "n_warnings": 0,
+      "peak_month": 2,
+      "peak_label": "February",
+      "trough_month": 9,
+      "trough_label": "September",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "moderate",
+      "timing": "winter",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "decline_biased",
+      "target_mean_value": 0.41979462891906966,
+      "target_amplitude": 0.6506072390252963,
+      "baseline_to_peak_ratio": 0.3630015032901893,
+      "autumn_to_winter_weight_ratio": 0.05286343612334802,
+      "year_end_to_winter_weight_ratio": 0.44493392070484583,
+      "decay_to_growth_ratio": 1.350471293916024,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "moderate_baseline_presence",
+        "winter_detectability_peak",
+        "autumn_detectability_trough",
+        "weak_spring_carryover",
+        "moderate_summer_suppression",
+        "moderate_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/black_headed_gull_classification.json",
+      "summary": "Black Headed Gull is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around February and reaches its lowest point around September. The model indicates moderate baseline presence, weak spring carry-over, strong pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+    },
+    {
+      "species": "Blackbird",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "medium",
+      "fit_score": 0.268,
+      "n_warnings": 0,
+      "peak_month": 3,
+      "peak_label": "March",
+      "trough_month": 9,
+      "trough_label": "September",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "strong",
+      "timing": "spring",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.5591013398309653,
+      "target_amplitude": 0.8266946309032337,
+      "baseline_to_peak_ratio": 0.31946520527280137,
+      "autumn_to_winter_weight_ratio": 0.08418367346938775,
+      "year_end_to_winter_weight_ratio": 0.33163265306122447,
+      "decay_to_growth_ratio": 1.849680170575693,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "strong_baseline_presence",
+        "spring_detectability_peak",
+        "autumn_detectability_trough",
+        "strong_spring_carryover",
+        "moderate_summer_suppression",
+        "moderate_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/blackbird_classification.json",
+      "summary": "Blackbird is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around March and reaches its lowest point around September. The model indicates strong baseline presence, strong spring carry-over, strong pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+    },
+    {
+      "species": "Blackcap",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "low",
+      "fit_score": 0.41,
+      "n_warnings": 0,
+      "peak_month": 5,
+      "peak_label": "May",
+      "trough_month": 9,
+      "trough_label": "September",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "weak",
+      "timing": "late_spring_early_summer",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.2115108255843349,
+      "target_amplitude": 0.632486441862457,
+      "baseline_to_peak_ratio": 0.06087580296904315,
+      "autumn_to_winter_weight_ratio": 0.04152249134948097,
+      "year_end_to_winter_weight_ratio": 0.25259515570934254,
+      "decay_to_growth_ratio": 1.9722518676627534,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "weak_baseline_presence",
+        "late_spring_early_summer_detectability_peak",
+        "autumn_detectability_trough",
+        "moderate_spring_carryover",
+        "moderate_summer_suppression",
+        "moderate_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "weak_autumn_component",
+        "weak_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/blackcap_classification.json",
+      "summary": "Blackcap is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around May and reaches its lowest point around September. The model indicates weak baseline presence, moderate spring carry-over, strong pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+    },
+    {
+      "species": "Blue Tit",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "medium",
+      "fit_score": 0.258,
+      "n_warnings": 0,
+      "peak_month": 3,
+      "peak_label": "March",
+      "trough_month": 8,
+      "trough_label": "August",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "strong",
+      "timing": "spring",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.4217387502672212,
+      "target_amplitude": 0.5854727476001274,
+      "baseline_to_peak_ratio": 0.40450915989234393,
+      "autumn_to_winter_weight_ratio": 0.0477326968973747,
+      "year_end_to_winter_weight_ratio": 0.477326968973747,
+      "decay_to_growth_ratio": 1.723291626564004,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "strong_baseline_presence",
+        "spring_detectability_peak",
+        "summer_detectability_trough",
+        "weak_spring_carryover",
+        "moderate_summer_suppression",
+        "moderate_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/blue_tit_classification.json",
+      "summary": "Blue Tit is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around March and reaches its lowest point around August. The model indicates strong baseline presence, weak spring carry-over, strong pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+    },
+    {
+      "species": "Buzzard",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "medium",
+      "fit_score": 0.24,
+      "n_warnings": 0,
+      "peak_month": 3,
+      "peak_label": "March",
+      "trough_month": 8,
+      "trough_label": "August",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "strong",
+      "timing": "spring",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "strong",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.6013872841601938,
+      "target_amplitude": 0.6498656227579029,
+      "baseline_to_peak_ratio": 0.5011297544025949,
+      "autumn_to_winter_weight_ratio": 0.06473214285714286,
+      "year_end_to_winter_weight_ratio": 0.40625,
+      "decay_to_growth_ratio": 1.4757990867579909,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "strong_baseline_presence",
+        "spring_detectability_peak",
+        "summer_detectability_trough",
+        "weak_spring_carryover",
+        "strong_summer_suppression",
+        "moderate_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/buzzard_classification.json",
+      "summary": "Buzzard is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around March and reaches its lowest point around August. The model indicates strong baseline presence, weak spring carry-over, strong pre-summer retention, strong summer suppression, and moderate summer decay acceleration."
+    },
+    {
+      "species": "Canada Goose",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "low",
+      "fit_score": 0.365,
+      "n_warnings": 0,
+      "peak_month": 4,
+      "peak_label": "April",
+      "trough_month": 11,
+      "trough_label": "November",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "weak",
+      "timing": "spring",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.195070674578276,
+      "target_amplitude": 0.6199725038934809,
+      "baseline_to_peak_ratio": 0.05484114180302685,
+      "autumn_to_winter_weight_ratio": 0.05928853754940711,
+      "year_end_to_winter_weight_ratio": 0.3932806324110672,
+      "decay_to_growth_ratio": 1.856164383561644,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "weak_baseline_presence",
+        "spring_detectability_peak",
+        "late_autumn_detectability_trough",
+        "moderate_spring_carryover",
+        "moderate_summer_suppression",
+        "strong_summer_decay_acceleration",
+        "moderate_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/canada_goose_classification.json",
+      "summary": "Canada Goose is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around April and reaches its lowest point around November. The model indicates weak baseline presence, moderate spring carry-over, moderate pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+    },
+    {
+      "species": "Chaffinch",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "medium",
+      "fit_score": 0.237,
+      "n_warnings": 0,
+      "peak_month": 6,
+      "peak_label": "June",
+      "trough_month": 8,
+      "trough_label": "August",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "weak",
+      "timing": "late_spring_early_summer",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.30583473679231316,
+      "target_amplitude": 0.8187244086048439,
+      "baseline_to_peak_ratio": 0.05374213781531037,
+      "autumn_to_winter_weight_ratio": 0.055865921787709494,
+      "year_end_to_winter_weight_ratio": 0.39106145251396646,
+      "decay_to_growth_ratio": 1.540796963946869,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "weak_baseline_presence",
+        "late_spring_early_summer_detectability_peak",
+        "summer_detectability_trough",
+        "strong_spring_carryover",
+        "moderate_summer_suppression",
+        "strong_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/chaffinch_classification.json",
+      "summary": "Chaffinch is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around June and reaches its lowest point around August. The model indicates weak baseline presence, strong spring carry-over, strong pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+    },
+    {
+      "species": "Coal Tit",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "low",
+      "fit_score": 0.537,
+      "n_warnings": 0,
+      "peak_month": 5,
+      "peak_label": "May",
+      "trough_month": 7,
+      "trough_label": "July",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "weak",
+      "timing": "late_spring_early_summer",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.16406511606117974,
+      "target_amplitude": 0.5953104080888479,
+      "baseline_to_peak_ratio": 0.0806302045920826,
+      "autumn_to_winter_weight_ratio": 0.04780876494023904,
+      "year_end_to_winter_weight_ratio": 0.3426294820717131,
+      "decay_to_growth_ratio": 1.870304114490161,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "weak_baseline_presence",
+        "late_spring_early_summer_detectability_peak",
+        "summer_detectability_trough",
+        "weak_spring_carryover",
+        "moderate_summer_suppression",
+        "strong_summer_decay_acceleration",
+        "moderate_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/coal_tit_classification.json",
+      "summary": "Coal Tit is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around May and reaches its lowest point around July. The model indicates weak baseline presence, weak spring carry-over, moderate pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+    },
+    {
+      "species": "Collared Dove",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "medium",
+      "fit_score": 0.31,
+      "n_warnings": 0,
+      "peak_month": 5,
+      "peak_label": "May",
+      "trough_month": 10,
+      "trough_label": "October",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "strong",
+      "timing": "late_spring_early_summer",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "decline_biased",
+      "target_mean_value": 0.5247953698728599,
+      "target_amplitude": 0.7547852589099668,
+      "baseline_to_peak_ratio": 0.34191288616697213,
+      "autumn_to_winter_weight_ratio": 0.064343163538874,
+      "year_end_to_winter_weight_ratio": 0.5683646112600537,
+      "decay_to_growth_ratio": 0.8744257274119449,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "strong_baseline_presence",
+        "late_spring_early_summer_detectability_peak",
+        "autumn_detectability_trough",
+        "strong_spring_carryover",
+        "moderate_summer_suppression",
+        "moderate_summer_decay_acceleration",
+        "moderate_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/collared_dove_classification.json",
+      "summary": "Collared Dove is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around May and reaches its lowest point around October. The model indicates strong baseline presence, strong spring carry-over, moderate pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+    },
+    {
+      "species": "Common Kestrel",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "low",
+      "fit_score": 0.549,
+      "n_warnings": 0,
+      "peak_month": 4,
+      "peak_label": "April",
+      "trough_month": 11,
+      "trough_label": "November",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "moderate",
+      "timing": "spring",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "decline_biased",
+      "target_mean_value": 0.3882718232372166,
+      "target_amplitude": 0.6005388381850569,
+      "baseline_to_peak_ratio": 0.3686350234535814,
+      "autumn_to_winter_weight_ratio": 0.06880733944954129,
+      "year_end_to_winter_weight_ratio": 0.6192660550458715,
+      "decay_to_growth_ratio": 1.1338199513381995,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "moderate_baseline_presence",
+        "spring_detectability_peak",
+        "late_autumn_detectability_trough",
+        "weak_spring_carryover",
+        "moderate_summer_suppression",
+        "strong_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/common_kestrel_classification.json",
+      "summary": "Common Kestrel is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around April and reaches its lowest point around November. The model indicates moderate baseline presence, weak spring carry-over, strong pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+    },
+    {
+      "species": "Common Starling",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_spring_persistence_and_summer_suppression",
+      "confidence": "low",
+      "fit_score": 0.452,
+      "n_warnings": 0,
+      "peak_month": 2,
+      "peak_label": "February",
+      "trough_month": 8,
+      "trough_label": "August",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "strong",
+      "timing": "winter",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "strong",
+      "autumn_component": "weak",
+      "response_dynamics": "decline_biased",
+      "target_mean_value": 0.7756278512637006,
+      "target_amplitude": 0.7553959265734586,
+      "baseline_to_peak_ratio": 0.48899329091444604,
+      "autumn_to_winter_weight_ratio": 0.06467661691542288,
+      "year_end_to_winter_weight_ratio": 0.41044776119402987,
+      "decay_to_growth_ratio": 1.225254394079556,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "strong_baseline_presence",
+        "winter_detectability_peak",
+        "summer_detectability_trough",
+        "moderate_spring_carryover",
+        "strong_summer_suppression",
+        "moderate_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/common_starling_classification.json",
+      "summary": "Common Starling is classified as resident with spring persistence and summer suppression. The fitted resident detectability target peaks around February and reaches its lowest point around August. The model indicates strong baseline presence, moderate spring carry-over, strong pre-summer retention, strong summer suppression, and moderate summer decay acceleration."
+    },
+    {
+      "species": "Coot",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "medium",
+      "fit_score": 0.234,
+      "n_warnings": 0,
+      "peak_month": 2,
+      "peak_label": "February",
+      "trough_month": 9,
+      "trough_label": "September",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "weak",
+      "timing": "winter",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "decline_biased",
+      "target_mean_value": 0.272580850304194,
+      "target_amplitude": 0.6497519376515021,
+      "baseline_to_peak_ratio": 0.07695244462174697,
+      "autumn_to_winter_weight_ratio": 0.06976744186046512,
+      "year_end_to_winter_weight_ratio": 0.45930232558139533,
+      "decay_to_growth_ratio": 1.321614063124251,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "weak_baseline_presence",
+        "winter_detectability_peak",
+        "autumn_detectability_trough",
+        "strong_spring_carryover",
+        "moderate_summer_suppression",
+        "moderate_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/coot_classification.json",
+      "summary": "Coot is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around February and reaches its lowest point around September. The model indicates weak baseline presence, strong spring carry-over, strong pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+    },
+    {
+      "species": "Cormorant",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "high",
+      "fit_score": 0.154,
+      "n_warnings": 0,
+      "peak_month": 2,
+      "peak_label": "February",
+      "trough_month": 7,
+      "trough_label": "July",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "weak",
+      "timing": "winter",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "decline_biased",
+      "target_mean_value": 0.15966405215719734,
+      "target_amplitude": 0.4645468966315792,
+      "baseline_to_peak_ratio": 0.11624230059775015,
+      "autumn_to_winter_weight_ratio": 0.082687338501292,
+      "year_end_to_winter_weight_ratio": 0.42377260981912146,
+      "decay_to_growth_ratio": 1.4839527027027026,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "weak_baseline_presence",
+        "winter_detectability_peak",
+        "summer_detectability_trough",
+        "weak_spring_carryover",
+        "moderate_summer_suppression",
+        "moderate_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/cormorant_classification.json",
+      "summary": "Cormorant is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around February and reaches its lowest point around July. The model indicates weak baseline presence, weak spring carry-over, strong pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+    },
+    {
+      "species": "Crow",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_spring_persistence_and_summer_suppression",
+      "confidence": "low",
+      "fit_score": 0.477,
+      "n_warnings": 0,
+      "peak_month": 2,
+      "peak_label": "February",
+      "trough_month": 8,
+      "trough_label": "August",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "strong",
+      "timing": "winter",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "strong",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.7581203409781896,
+      "target_amplitude": 0.534852057969918,
+      "baseline_to_peak_ratio": 0.6450181059441938,
+      "autumn_to_winter_weight_ratio": 0.1141732283464567,
+      "year_end_to_winter_weight_ratio": 0.5984251968503937,
+      "decay_to_growth_ratio": 1.360093896713615,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "strong_baseline_presence",
+        "winter_detectability_peak",
+        "summer_detectability_trough",
+        "moderate_spring_carryover",
+        "strong_summer_suppression",
+        "strong_summer_decay_acceleration",
+        "moderate_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/crow_classification.json",
+      "summary": "Crow is classified as resident with spring persistence and summer suppression. The fitted resident detectability target peaks around February and reaches its lowest point around August. The model indicates strong baseline presence, moderate spring carry-over, moderate pre-summer retention, strong summer suppression, and strong summer decay acceleration."
+    },
+    {
+      "species": "Dunnock",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "high",
+      "fit_score": 0.195,
+      "n_warnings": 0,
+      "peak_month": 3,
+      "peak_label": "March",
+      "trough_month": 9,
+      "trough_label": "September",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "strong",
+      "timing": "spring",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.43861540264734467,
+      "target_amplitude": 0.6101099673412291,
+      "baseline_to_peak_ratio": 0.3728234258432724,
+      "autumn_to_winter_weight_ratio": 0.046464646464646465,
+      "year_end_to_winter_weight_ratio": 0.4121212121212121,
+      "decay_to_growth_ratio": 1.343807763401109,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "strong_baseline_presence",
+        "spring_detectability_peak",
+        "autumn_detectability_trough",
+        "weak_spring_carryover",
+        "moderate_summer_suppression",
+        "moderate_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/dunnock_classification.json",
+      "summary": "Dunnock is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around March and reaches its lowest point around September. The model indicates strong baseline presence, weak spring carry-over, strong pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+    },
+    {
+      "species": "Goldfinch",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_spring_persistence_and_summer_suppression",
+      "confidence": "medium",
+      "fit_score": 0.35,
+      "n_warnings": 0,
+      "peak_month": 2,
+      "peak_label": "February",
+      "trough_month": 9,
+      "trough_label": "September",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "strong",
+      "timing": "winter",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "strong",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.5558225761604985,
+      "target_amplitude": 0.7377696378752077,
+      "baseline_to_peak_ratio": 0.36777432055324877,
+      "autumn_to_winter_weight_ratio": 0.10894941634241245,
+      "year_end_to_winter_weight_ratio": 0.669260700389105,
+      "decay_to_growth_ratio": 0.9342492639842983,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "strong_baseline_presence",
+        "winter_detectability_peak",
+        "autumn_detectability_trough",
+        "strong_spring_carryover",
+        "strong_summer_suppression",
+        "strong_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/goldfinch_classification.json",
+      "summary": "Goldfinch is classified as resident with spring persistence and summer suppression. The fitted resident detectability target peaks around February and reaches its lowest point around September. The model indicates strong baseline presence, strong spring carry-over, strong pre-summer retention, strong summer suppression, and strong summer decay acceleration."
+    },
+    {
+      "species": "Great Tit",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "high",
+      "fit_score": 0.159,
+      "n_warnings": 0,
+      "peak_month": 4,
+      "peak_label": "April",
+      "trough_month": 8,
+      "trough_label": "August",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "moderate",
+      "timing": "spring",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.37448367728894455,
+      "target_amplitude": 0.6883531447825695,
+      "baseline_to_peak_ratio": 0.2712162837064409,
+      "autumn_to_winter_weight_ratio": 0.060810810810810814,
+      "year_end_to_winter_weight_ratio": 0.3761261261261261,
+      "decay_to_growth_ratio": 1.6836686944314458,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "moderate_baseline_presence",
+        "spring_detectability_peak",
+        "summer_detectability_trough",
+        "moderate_spring_carryover",
+        "moderate_summer_suppression",
+        "moderate_summer_decay_acceleration",
+        "moderate_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/great_tit_classification.json",
+      "summary": "Great Tit is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around April and reaches its lowest point around August. The model indicates moderate baseline presence, moderate spring carry-over, moderate pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+    },
+    {
+      "species": "Greenfinch",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "low",
+      "fit_score": 0.389,
+      "n_warnings": 0,
+      "peak_month": 4,
+      "peak_label": "April",
+      "trough_month": 8,
+      "trough_label": "August",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "weak",
+      "timing": "spring",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "minimal",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.20198254429648033,
+      "target_amplitude": 0.6462342810924729,
+      "baseline_to_peak_ratio": 0.0541599246960897,
+      "autumn_to_winter_weight_ratio": 0.03756708407871199,
+      "year_end_to_winter_weight_ratio": 0.2504472271914132,
+      "decay_to_growth_ratio": 2.1115751789976134,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "weak_baseline_presence",
+        "spring_detectability_peak",
+        "summer_detectability_trough",
+        "moderate_spring_carryover",
+        "moderate_summer_suppression",
+        "strong_summer_decay_acceleration",
+        "moderate_pre_summer_retention",
+        "minimal_autumn_component",
+        "weak_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/greenfinch_classification.json",
+      "summary": "Greenfinch is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around April and reaches its lowest point around August. The model indicates weak baseline presence, moderate spring carry-over, moderate pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+    },
+    {
+      "species": "Grey Heron",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_spring_persistence_and_summer_suppression",
+      "confidence": "medium",
+      "fit_score": 0.206,
+      "n_warnings": 0,
+      "peak_month": 4,
+      "peak_label": "April",
+      "trough_month": 8,
+      "trough_label": "August",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "strong",
+      "timing": "spring",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "strong",
+      "autumn_component": "weak",
+      "response_dynamics": "decline_biased",
+      "target_mean_value": 0.44250863140775165,
+      "target_amplitude": 0.6438349054309149,
+      "baseline_to_peak_ratio": 0.3944245654192382,
+      "autumn_to_winter_weight_ratio": 0.07446808510638298,
+      "year_end_to_winter_weight_ratio": 0.3617021276595745,
+      "decay_to_growth_ratio": 1.3318505338078293,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "strong_baseline_presence",
+        "spring_detectability_peak",
+        "summer_detectability_trough",
+        "moderate_spring_carryover",
+        "strong_summer_suppression",
+        "moderate_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/grey_heron_classification.json",
+      "summary": "Grey Heron is classified as resident with spring persistence and summer suppression. The fitted resident detectability target peaks around April and reaches its lowest point around August. The model indicates strong baseline presence, moderate spring carry-over, strong pre-summer retention, strong summer suppression, and moderate summer decay acceleration."
+    },
+    {
+      "species": "Greylag Goose",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "high",
+      "fit_score": 0.184,
+      "n_warnings": 0,
+      "peak_month": 4,
+      "peak_label": "April",
+      "trough_month": 9,
+      "trough_label": "September",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "moderate",
+      "timing": "spring",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "decline_biased",
+      "target_mean_value": 0.3781718655054268,
+      "target_amplitude": 0.693648113276107,
+      "baseline_to_peak_ratio": 0.2957007791504614,
+      "autumn_to_winter_weight_ratio": 0.050966608084358524,
+      "year_end_to_winter_weight_ratio": 0.3409490333919156,
+      "decay_to_growth_ratio": 1.4959546925566343,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "moderate_baseline_presence",
+        "spring_detectability_peak",
+        "autumn_detectability_trough",
+        "weak_spring_carryover",
+        "moderate_summer_suppression",
+        "moderate_summer_decay_acceleration",
+        "moderate_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/greylag_goose_classification.json",
+      "summary": "Greylag Goose is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around April and reaches its lowest point around September. The model indicates moderate baseline presence, weak spring carry-over, moderate pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+    },
+    {
+      "species": "Herring Gull",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "medium",
+      "fit_score": 0.347,
+      "n_warnings": 0,
+      "peak_month": 2,
+      "peak_label": "February",
+      "trough_month": 9,
+      "trough_label": "September",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "strong",
+      "timing": "winter",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "decline_biased",
+      "target_mean_value": 0.5130236659284254,
+      "target_amplitude": 0.5921682838531045,
+      "baseline_to_peak_ratio": 0.46416042849786016,
+      "autumn_to_winter_weight_ratio": 0.0676056338028169,
+      "year_end_to_winter_weight_ratio": 0.6816901408450704,
+      "decay_to_growth_ratio": 0.7728026533996684,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "strong_baseline_presence",
+        "winter_detectability_peak",
+        "autumn_detectability_trough",
+        "moderate_spring_carryover",
+        "moderate_summer_suppression",
+        "strong_summer_decay_acceleration",
+        "moderate_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/herring_gull_classification.json",
+      "summary": "Herring Gull is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around February and reaches its lowest point around September. The model indicates strong baseline presence, moderate spring carry-over, moderate pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+    },
+    {
+      "species": "House Sparrow",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "high",
+      "fit_score": 0.167,
+      "n_warnings": 0,
+      "peak_month": 5,
+      "peak_label": "May",
+      "trough_month": 10,
+      "trough_label": "October",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "strong",
+      "timing": "late_spring_early_summer",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "decline_biased",
+      "target_mean_value": 0.6149644338983231,
+      "target_amplitude": 0.8396931269417937,
+      "baseline_to_peak_ratio": 0.35763171629134666,
+      "autumn_to_winter_weight_ratio": 0.05134474327628362,
+      "year_end_to_winter_weight_ratio": 0.3276283618581907,
+      "decay_to_growth_ratio": 1.274323335771763,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "strong_baseline_presence",
+        "late_spring_early_summer_detectability_peak",
+        "autumn_detectability_trough",
+        "strong_spring_carryover",
+        "moderate_summer_suppression",
+        "moderate_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/house_sparrow_classification.json",
+      "summary": "House Sparrow is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around May and reaches its lowest point around October. The model indicates strong baseline presence, strong spring carry-over, strong pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+    },
+    {
+      "species": "Jackdaw",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_spring_persistence_and_summer_suppression",
+      "confidence": "low",
+      "fit_score": 0.435,
+      "n_warnings": 0,
+      "peak_month": 5,
+      "peak_label": "May",
+      "trough_month": 8,
+      "trough_label": "August",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "strong",
+      "timing": "late_spring_early_summer",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "strong",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.7203418580614599,
+      "target_amplitude": 0.7061241865815708,
+      "baseline_to_peak_ratio": 0.507571844890725,
+      "autumn_to_winter_weight_ratio": 0.09491525423728814,
+      "year_end_to_winter_weight_ratio": 0.535593220338983,
+      "decay_to_growth_ratio": 1.4302874302874302,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "strong_baseline_presence",
+        "late_spring_early_summer_detectability_peak",
+        "summer_detectability_trough",
+        "strong_spring_carryover",
+        "strong_summer_suppression",
+        "moderate_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/jackdaw_classification.json",
+      "summary": "Jackdaw is classified as resident with spring persistence and summer suppression. The fitted resident detectability target peaks around May and reaches its lowest point around August. The model indicates strong baseline presence, strong spring carry-over, strong pre-summer retention, strong summer suppression, and moderate summer decay acceleration."
+    },
+    {
+      "species": "Jay",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "low",
+      "fit_score": 0.581,
+      "n_warnings": 0,
+      "peak_month": 10,
+      "peak_label": "October",
+      "trough_month": 8,
+      "trough_label": "August",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "weak",
+      "timing": "autumn",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "meaningful",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.10859575234282763,
+      "target_amplitude": 0.24747398820984062,
+      "baseline_to_peak_ratio": 0.14546983406383107,
+      "autumn_to_winter_weight_ratio": 0.1308411214953271,
+      "year_end_to_winter_weight_ratio": 0.7383177570093458,
+      "decay_to_growth_ratio": 1.329608938547486,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "weak_baseline_presence",
+        "autumn_detectability_peak",
+        "summer_detectability_trough",
+        "weak_spring_carryover",
+        "moderate_summer_suppression",
+        "strong_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "meaningful_autumn_component",
+        "meaningful_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/jay_classification.json",
+      "summary": "Jay is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around October and reaches its lowest point around August. The model indicates weak baseline presence, weak spring carry-over, strong pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+    },
+    {
+      "species": "Long Tailed Tit",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "medium",
+      "fit_score": 0.319,
+      "n_warnings": 0,
+      "peak_month": 3,
+      "peak_label": "March",
+      "trough_month": 5,
+      "trough_label": "May",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "weak",
+      "timing": "spring",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.15154760741292142,
+      "target_amplitude": 0.47068776872668894,
+      "baseline_to_peak_ratio": 0.09348022813303479,
+      "autumn_to_winter_weight_ratio": 0.06313131313131314,
+      "year_end_to_winter_weight_ratio": 0.4393939393939394,
+      "decay_to_growth_ratio": 1.3518164435946463,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "weak_baseline_presence",
+        "spring_detectability_peak",
+        "late_spring_early_summer_detectability_trough",
+        "weak_spring_carryover",
+        "moderate_summer_suppression",
+        "strong_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/long_tailed_tit_classification.json",
+      "summary": "Long Tailed Tit is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around March and reaches its lowest point around May. The model indicates weak baseline presence, weak spring carry-over, strong pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+    },
+    {
+      "species": "Magpie",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_spring_persistence_and_summer_suppression",
+      "confidence": "low",
+      "fit_score": 0.45,
+      "n_warnings": 0,
+      "peak_month": 2,
+      "peak_label": "February",
+      "trough_month": 8,
+      "trough_label": "August",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "strong",
+      "timing": "winter",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "strong",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.8662751790538733,
+      "target_amplitude": 0.7182949488612982,
+      "baseline_to_peak_ratio": 0.5453977731652019,
+      "autumn_to_winter_weight_ratio": 0.06287425149700598,
+      "year_end_to_winter_weight_ratio": 0.46407185628742514,
+      "decay_to_growth_ratio": 1.3685051958433254,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "strong_baseline_presence",
+        "winter_detectability_peak",
+        "summer_detectability_trough",
+        "strong_spring_carryover",
+        "strong_summer_suppression",
+        "strong_summer_decay_acceleration",
+        "moderate_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/magpie_classification.json",
+      "summary": "Magpie is classified as resident with spring persistence and summer suppression. The fitted resident detectability target peaks around February and reaches its lowest point around August. The model indicates strong baseline presence, strong spring carry-over, moderate pre-summer retention, strong summer suppression, and strong summer decay acceleration."
+    },
+    {
+      "species": "Mallard",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "low",
+      "fit_score": 0.421,
+      "n_warnings": 0,
+      "peak_month": 5,
+      "peak_label": "May",
+      "trough_month": 8,
+      "trough_label": "August",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "strong",
+      "timing": "late_spring_early_summer",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.45620398110730787,
+      "target_amplitude": 0.5235586614434156,
+      "baseline_to_peak_ratio": 0.4739585836125837,
+      "autumn_to_winter_weight_ratio": 0.048,
+      "year_end_to_winter_weight_ratio": 0.4106666666666667,
+      "decay_to_growth_ratio": 2.0201660735468563,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "strong_baseline_presence",
+        "late_spring_early_summer_detectability_peak",
+        "summer_detectability_trough",
+        "weak_spring_carryover",
+        "moderate_summer_suppression",
+        "moderate_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/mallard_classification.json",
+      "summary": "Mallard is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around May and reaches its lowest point around August. The model indicates strong baseline presence, weak spring carry-over, strong pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+    },
+    {
+      "species": "Mistle Thrush",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "medium",
+      "fit_score": 0.225,
+      "n_warnings": 0,
+      "peak_month": 2,
+      "peak_label": "February",
+      "trough_month": 8,
+      "trough_label": "August",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "weak",
+      "timing": "winter",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "strong",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.13845269500030552,
+      "target_amplitude": 0.42389052211390243,
+      "baseline_to_peak_ratio": 0.08964578828160052,
+      "autumn_to_winter_weight_ratio": 0.08536585365853659,
+      "year_end_to_winter_weight_ratio": 0.47560975609756095,
+      "decay_to_growth_ratio": 1.0601503759398496,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "weak_baseline_presence",
+        "winter_detectability_peak",
+        "summer_detectability_trough",
+        "weak_spring_carryover",
+        "strong_summer_suppression",
+        "strong_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/mistle_thrush_classification.json",
+      "summary": "Mistle Thrush is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around February and reaches its lowest point around August. The model indicates weak baseline presence, weak spring carry-over, strong pre-summer retention, strong summer suppression, and strong summer decay acceleration."
+    },
+    {
+      "species": "Mute Swan",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "medium",
+      "fit_score": 0.259,
+      "n_warnings": 0,
+      "peak_month": 2,
+      "peak_label": "February",
+      "trough_month": 8,
+      "trough_label": "August",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "strong",
+      "timing": "winter",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "meaningful",
+      "response_dynamics": "decline_biased",
+      "target_mean_value": 0.5774560907770357,
+      "target_amplitude": 0.49953038372288017,
+      "baseline_to_peak_ratio": 0.4937381914483355,
+      "autumn_to_winter_weight_ratio": 0.13358778625954199,
+      "year_end_to_winter_weight_ratio": 0.7557251908396947,
+      "decay_to_growth_ratio": 1.1929046563192904,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "strong_baseline_presence",
+        "winter_detectability_peak",
+        "summer_detectability_trough",
+        "moderate_spring_carryover",
+        "moderate_summer_suppression",
+        "moderate_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "meaningful_autumn_component",
+        "meaningful_year_end_component",
+        "decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/mute_swan_classification.json",
+      "summary": "Mute Swan is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around February and reaches its lowest point around August. The model indicates strong baseline presence, moderate spring carry-over, strong pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+    },
+    {
+      "species": "Pheasant",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "high",
+      "fit_score": 0.194,
+      "n_warnings": 0,
+      "peak_month": 4,
+      "peak_label": "April",
+      "trough_month": 8,
+      "trough_label": "August",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "moderate",
+      "timing": "spring",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.4213717695284509,
+      "target_amplitude": 0.7630322641674512,
+      "baseline_to_peak_ratio": 0.27186132392856505,
+      "autumn_to_winter_weight_ratio": 0.04332129963898917,
+      "year_end_to_winter_weight_ratio": 0.33935018050541516,
+      "decay_to_growth_ratio": 1.9923076923076923,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "moderate_baseline_presence",
+        "spring_detectability_peak",
+        "summer_detectability_trough",
+        "moderate_spring_carryover",
+        "moderate_summer_suppression",
+        "strong_summer_decay_acceleration",
+        "moderate_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/pheasant_classification.json",
+      "summary": "Pheasant is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around April and reaches its lowest point around August. The model indicates moderate baseline presence, moderate spring carry-over, moderate pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+    },
+    {
+      "species": "Pied Wagtail",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "low",
+      "fit_score": 0.396,
+      "n_warnings": 0,
+      "peak_month": 5,
+      "peak_label": "May",
+      "trough_month": 8,
+      "trough_label": "August",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "moderate",
+      "timing": "late_spring_early_summer",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.31229921259198684,
+      "target_amplitude": 0.561793912653357,
+      "baseline_to_peak_ratio": 0.32824313622649515,
+      "autumn_to_winter_weight_ratio": 0.05603448275862069,
+      "year_end_to_winter_weight_ratio": 0.39870689655172414,
+      "decay_to_growth_ratio": 1.5668789808917198,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "moderate_baseline_presence",
+        "late_spring_early_summer_detectability_peak",
+        "summer_detectability_trough",
+        "weak_spring_carryover",
+        "moderate_summer_suppression",
+        "strong_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/pied_wagtail_classification.json",
+      "summary": "Pied Wagtail is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around May and reaches its lowest point around August. The model indicates moderate baseline presence, weak spring carry-over, strong pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+    },
+    {
+      "species": "Red Kite",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_spring_persistence_and_summer_suppression",
+      "confidence": "low",
+      "fit_score": 0.481,
+      "n_warnings": 0,
+      "peak_month": 3,
+      "peak_label": "March",
+      "trough_month": 8,
+      "trough_label": "August",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "strong",
+      "timing": "spring",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "strong",
+      "autumn_component": "meaningful",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.7405183265563009,
+      "target_amplitude": 0.6011335470203422,
+      "baseline_to_peak_ratio": 0.5876422059605672,
+      "autumn_to_winter_weight_ratio": 0.13592233009708737,
+      "year_end_to_winter_weight_ratio": 0.9466019417475728,
+      "decay_to_growth_ratio": 1.541724296911019,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "strong_baseline_presence",
+        "spring_detectability_peak",
+        "summer_detectability_trough",
+        "moderate_spring_carryover",
+        "strong_summer_suppression",
+        "strong_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "meaningful_autumn_component",
+        "meaningful_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/red_kite_classification.json",
+      "summary": "Red Kite is classified as resident with spring persistence and summer suppression. The fitted resident detectability target peaks around March and reaches its lowest point around August. The model indicates strong baseline presence, moderate spring carry-over, strong pre-summer retention, strong summer suppression, and strong summer decay acceleration."
+    },
+    {
+      "species": "Robin",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "medium",
+      "fit_score": 0.288,
+      "n_warnings": 0,
+      "peak_month": 2,
+      "peak_label": "February",
+      "trough_month": 7,
+      "trough_label": "July",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "moderate",
+      "timing": "winter",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "strong",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.3613473640431974,
+      "target_amplitude": 0.500652881353124,
+      "baseline_to_peak_ratio": 0.4016014388706911,
+      "autumn_to_winter_weight_ratio": 0.0621301775147929,
+      "year_end_to_winter_weight_ratio": 0.636094674556213,
+      "decay_to_growth_ratio": 1.3521066208082546,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "moderate_baseline_presence",
+        "winter_detectability_peak",
+        "summer_detectability_trough",
+        "weak_spring_carryover",
+        "strong_summer_suppression",
+        "moderate_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/robin_classification.json",
+      "summary": "Robin is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around February and reaches its lowest point around July. The model indicates moderate baseline presence, weak spring carry-over, strong pre-summer retention, strong summer suppression, and moderate summer decay acceleration."
+    },
+    {
+      "species": "Rook",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "medium",
+      "fit_score": 0.295,
+      "n_warnings": 0,
+      "peak_month": 4,
+      "peak_label": "April",
+      "trough_month": 7,
+      "trough_label": "July",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "weak",
+      "timing": "spring",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "decline_biased",
+      "target_mean_value": 0.1652963016372777,
+      "target_amplitude": 0.6544130305529264,
+      "baseline_to_peak_ratio": 0.07946052045458842,
+      "autumn_to_winter_weight_ratio": 0.050724637681159424,
+      "year_end_to_winter_weight_ratio": 0.26811594202898553,
+      "decay_to_growth_ratio": 1.4050073637702503,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "weak_baseline_presence",
+        "spring_detectability_peak",
+        "summer_detectability_trough",
+        "weak_spring_carryover",
+        "moderate_summer_suppression",
+        "moderate_summer_decay_acceleration",
+        "moderate_pre_summer_retention",
+        "weak_autumn_component",
+        "weak_year_end_component",
+        "decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/rook_classification.json",
+      "summary": "Rook is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around April and reaches its lowest point around July. The model indicates weak baseline presence, weak spring carry-over, moderate pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+    },
+    {
+      "species": "Skylark",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "low",
+      "fit_score": 0.517,
+      "n_warnings": 0,
+      "peak_month": 5,
+      "peak_label": "May",
+      "trough_month": 9,
+      "trough_label": "September",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "weak",
+      "timing": "late_spring_early_summer",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.2406220517571283,
+      "target_amplitude": 0.6771691786162352,
+      "baseline_to_peak_ratio": 0.06747710955411745,
+      "autumn_to_winter_weight_ratio": 0.052830188679245285,
+      "year_end_to_winter_weight_ratio": 0.32452830188679244,
+      "decay_to_growth_ratio": 1.6775032509752925,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "weak_baseline_presence",
+        "late_spring_early_summer_detectability_peak",
+        "autumn_detectability_trough",
+        "moderate_spring_carryover",
+        "moderate_summer_suppression",
+        "strong_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/skylark_classification.json",
+      "summary": "Skylark is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around May and reaches its lowest point around September. The model indicates weak baseline presence, moderate spring carry-over, strong pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+    },
+    {
+      "species": "Song Thrush",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "medium",
+      "fit_score": 0.239,
+      "n_warnings": 0,
+      "peak_month": 3,
+      "peak_label": "March",
+      "trough_month": 9,
+      "trough_label": "September",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "weak",
+      "timing": "spring",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.22259139258049532,
+      "target_amplitude": 0.7190289491373724,
+      "baseline_to_peak_ratio": 0.07371052314873378,
+      "autumn_to_winter_weight_ratio": 0.049523809523809526,
+      "year_end_to_winter_weight_ratio": 0.3295238095238095,
+      "decay_to_growth_ratio": 2.068205666316894,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "weak_baseline_presence",
+        "spring_detectability_peak",
+        "autumn_detectability_trough",
+        "moderate_spring_carryover",
+        "moderate_summer_suppression",
+        "strong_summer_decay_acceleration",
+        "moderate_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/song_thrush_classification.json",
+      "summary": "Song Thrush is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around March and reaches its lowest point around September. The model indicates weak baseline presence, moderate spring carry-over, moderate pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+    },
+    {
+      "species": "Woodpigeon",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_spring_persistence_and_summer_suppression",
+      "confidence": "low",
+      "fit_score": 0.497,
+      "n_warnings": 0,
+      "peak_month": 2,
+      "peak_label": "February",
+      "trough_month": 10,
+      "trough_label": "October",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "strong",
+      "timing": "winter",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "strong",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.8199376823763411,
+      "target_amplitude": 0.7523271555786653,
+      "baseline_to_peak_ratio": 0.5063744983550917,
+      "autumn_to_winter_weight_ratio": 0.07631578947368421,
+      "year_end_to_winter_weight_ratio": 0.48947368421052634,
+      "decay_to_growth_ratio": 1.6109537299338998,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "strong_baseline_presence",
+        "winter_detectability_peak",
+        "autumn_detectability_trough",
+        "strong_spring_carryover",
+        "strong_summer_suppression",
+        "strong_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/woodpigeon_classification.json",
+      "summary": "Woodpigeon is classified as resident with spring persistence and summer suppression. The fitted resident detectability target peaks around February and reaches its lowest point around October. The model indicates strong baseline presence, strong spring carry-over, strong pre-summer retention, strong summer suppression, and strong summer decay acceleration."
+    },
+    {
+      "species": "Wren",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "medium",
+      "fit_score": 0.208,
+      "n_warnings": 0,
+      "peak_month": 4,
+      "peak_label": "April",
+      "trough_month": 8,
+      "trough_label": "August",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "weak",
+      "timing": "spring",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "minimal",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.28277359644625405,
+      "target_amplitude": 0.8375385729882336,
+      "baseline_to_peak_ratio": 0.04895296923903706,
+      "autumn_to_winter_weight_ratio": 0.025830258302583026,
+      "year_end_to_winter_weight_ratio": 0.23616236162361623,
+      "decay_to_growth_ratio": 1.4504901960784313,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "weak_baseline_presence",
+        "spring_detectability_peak",
+        "summer_detectability_trough",
+        "strong_spring_carryover",
+        "moderate_summer_suppression",
+        "moderate_summer_decay_acceleration",
+        "moderate_pre_summer_retention",
+        "minimal_autumn_component",
+        "weak_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/resident/wren_classification.json",
+      "summary": "Wren is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around April and reaches its lowest point around August. The model indicates weak baseline presence, strong spring carry-over, moderate pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+    },
+    {
+      "species": "Chiffchaff",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "extended_spring_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.024,
+      "n_warnings": 0,
+      "peak_month": 4.255,
+      "peak_label": "April",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 3.03,
+      "season_start_label": "March",
+      "season_end_month": 7.35,
+      "season_end_label": "July",
+      "season_width_months": 4.32,
+      "season_midpoint_month": 5.19,
+      "baseline_presence": null,
+      "timing": "spring",
+      "season_width_class": "broad",
+      "window_shape": "sharp",
+      "post_peak_decline": "moderate",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "spring_peak",
+        "broad_season",
+        "sharp_seasonal_window",
+        "moderate_post_peak_decline",
+        "strong_offseason_suppression",
+        "early_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/seasonal/chiffchaff_classification.json",
+      "summary": "Chiffchaff is classified as extended spring seasonal presence. The fitted seasonal window runs from about March to July, with a spring peak around April. The season is broad, with a sharp active window, moderate post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Cuckoo",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "narrow_spring_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.007,
+      "n_warnings": 0,
+      "peak_month": 5.49,
+      "peak_label": "May",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 4.365,
+      "season_start_label": "April",
+      "season_end_month": 6.195,
+      "season_end_label": "June",
+      "season_width_months": 1.83,
+      "season_midpoint_month": 5.28,
+      "baseline_presence": null,
+      "timing": "spring",
+      "season_width_class": "narrow",
+      "window_shape": "sharp",
+      "post_peak_decline": "moderate",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "spring_peak",
+        "narrow_season",
+        "sharp_seasonal_window",
+        "moderate_post_peak_decline",
+        "strong_offseason_suppression",
+        "central_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/seasonal/cuckoo_classification.json",
+      "summary": "Cuckoo is classified as narrow spring seasonal presence. The fitted seasonal window runs from about April to June, with a spring peak around May. The season is narrow, with a sharp active window, moderate post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Garden Warbler",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "extended_early_spring_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.065,
+      "n_warnings": 0,
+      "peak_month": 3.12,
+      "peak_label": "March",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 2.035,
+      "season_start_label": "February",
+      "season_end_month": 6.495,
+      "season_end_label": "June",
+      "season_width_months": 4.46,
+      "season_midpoint_month": 4.265,
+      "baseline_presence": null,
+      "timing": "early_spring",
+      "season_width_class": "broad",
+      "window_shape": "sharp",
+      "post_peak_decline": "moderate",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "early_spring_peak",
+        "broad_season",
+        "sharp_seasonal_window",
+        "moderate_post_peak_decline",
+        "strong_offseason_suppression",
+        "early_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/seasonal/garden_warbler_classification.json",
+      "summary": "Garden Warbler is classified as extended early spring seasonal presence. The fitted seasonal window runs from about February to June, with a early spring peak around March. The season is broad, with a sharp active window, moderate post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Reed Warbler",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "moderate_spring_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.06,
+      "n_warnings": 0,
+      "peak_month": 4.12,
+      "peak_label": "April",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 3.29,
+      "season_start_label": "March",
+      "season_end_month": 6.115,
+      "season_end_label": "June",
+      "season_width_months": 2.825,
+      "season_midpoint_month": 4.7025,
+      "baseline_presence": null,
+      "timing": "spring",
+      "season_width_class": "moderate",
+      "window_shape": "moderate",
+      "post_peak_decline": "strong",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "spring_peak",
+        "moderate_season",
+        "moderate_seasonal_window",
+        "strong_post_peak_decline",
+        "strong_offseason_suppression",
+        "central_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/seasonal/reed_warbler_classification.json",
+      "summary": "Reed Warbler is classified as moderate spring seasonal presence. The fitted seasonal window runs from about March to June, with a spring peak around April. The season is moderate, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Swallow",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "extended_spring_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.045,
+      "n_warnings": 0,
+      "peak_month": 5.47,
+      "peak_label": "May",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 4.08,
+      "season_start_label": "April",
+      "season_end_month": 10.295,
+      "season_end_label": "October",
+      "season_width_months": 6.215,
+      "season_midpoint_month": 7.1875,
+      "baseline_presence": null,
+      "timing": "spring",
+      "season_width_class": "very_broad",
+      "window_shape": "sharp",
+      "post_peak_decline": "moderate",
+      "offseason_suppression": "moderate",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "spring_peak",
+        "very_broad_season",
+        "sharp_seasonal_window",
+        "moderate_post_peak_decline",
+        "moderate_offseason_suppression",
+        "early_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/seasonal/swallow_classification.json",
+      "summary": "Swallow is classified as extended spring seasonal presence. The fitted seasonal window runs from about April to October, with a spring peak around May. The season is very_broad, with a sharp active window, moderate post-peak decline, and moderate off-season suppression."
+    },
+    {
+      "species": "Swift",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "extended_summer_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.029,
+      "n_warnings": 0,
+      "peak_month": 6.06,
+      "peak_label": "June",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 5.11,
+      "season_start_label": "May",
+      "season_end_month": 9.305,
+      "season_end_label": "September",
+      "season_width_months": 4.195,
+      "season_midpoint_month": 7.2075,
+      "baseline_presence": null,
+      "timing": "summer",
+      "season_width_class": "broad",
+      "window_shape": "moderate",
+      "post_peak_decline": "strong",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "summer_peak",
+        "broad_season",
+        "moderate_seasonal_window",
+        "strong_post_peak_decline",
+        "strong_offseason_suppression",
+        "early_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/seasonal/swift_classification.json",
+      "summary": "Swift is classified as extended summer seasonal presence. The fitted seasonal window runs from about May to September, with a summer peak around June. The season is broad, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Whitethroat",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "moderate_spring_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.028,
+      "n_warnings": 0,
+      "peak_month": 5.19,
+      "peak_label": "May",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 4.395,
+      "season_start_label": "April",
+      "season_end_month": 6.77,
+      "season_end_label": "July",
+      "season_width_months": 2.375,
+      "season_midpoint_month": 5.5825,
+      "baseline_presence": null,
+      "timing": "spring",
+      "season_width_class": "moderate",
+      "window_shape": "moderate",
+      "post_peak_decline": "strong",
+      "offseason_suppression": "moderate",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "spring_peak",
+        "moderate_season",
+        "moderate_seasonal_window",
+        "strong_post_peak_decline",
+        "moderate_offseason_suppression",
+        "central_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/seasonal/whitethroat_classification.json",
+      "summary": "Whitethroat is classified as moderate spring seasonal presence. The fitted seasonal window runs from about April to July, with a spring peak around May. The season is moderate, with a moderate active window, strong post-peak decline, and moderate off-season suppression."
+    },
+    {
+      "species": "Redwing",
+      "model_family": "winter_presence",
+      "schema_version": "winter-classification/v1",
+      "primary_class": "winter_visitor_with_autumn_arrival_component",
+      "confidence": "medium",
+      "fit_score": 0.128,
+      "n_warnings": 0,
+      "peak_month": 1,
+      "peak_label": "January",
+      "trough_month": 5,
+      "trough_label": "May",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "low",
+      "timing": "core_winter",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "moderate",
+      "response_dynamics": "slow_arrival_fast_departure",
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": 0.23686723973256923,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": 2.658008658008658,
+      "active_month_count_ge_0_10": 7,
+      "traits": [
+        "year_wrapping_winter_presence",
+        "core_winter_winter_peak",
+        "moderate_autumn_component",
+        "moderate_summer_suppression",
+        "low_baseline_presence",
+        "moderate_winter_bump",
+        "slow_arrival_fast_departure_response_dynamics"
+      ],
+      "trait_count": 7,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon/winter/redwing_classification.json",
+      "summary": "Redwing is classified as winter visitor with autumn arrival component. The fitted winter component peaks around February, with a moderate autumn component centred around December. The model has low baseline presence and moderate summer suppression centred around June. The fitted response dynamics suggest slow arrival fast departure."
+    }
+  ]
+}
diff --git a/modelling/data/abingdon-birds/analysis/species_similarity.json b/modelling/data/abingdon-birds/analysis/species_similarity.json
new file mode 100644
index 0000000..ac3a9a3
--- /dev/null
+++ b/modelling/data/abingdon-birds/analysis/species_similarity.json
@@ -0,0 +1,26140 @@
+{
+  "schema_version": "species-similarity/v1",
+  "created_utc": "2026-05-21T10:27:38.068163+00:00",
+  "source_feature_schema_version": "species-feature-table/v1",
+  "source_feature_created_utc": "2026-05-21T10:27:38.053957+00:00",
+  "n_species": 46,
+  "top_n": 5,
+  "method": {
+    "description": "Weighted mixed-feature similarity using circular month distance, min-max scaled numeric distance, categorical exact-match distance, and Jaccard trait distance.",
+    "distance_range": "0 means identical on compared features; 1 means maximally different",
+    "similarity_range": "1 means most similar; 0 means least similar",
+    "component_weights": {
+      "circular_month": 0.4,
+      "numeric": 0.25,
+      "categorical": 0.2,
+      "traits": 0.15
+    },
+    "circular_month_features": {
+      "peak_month": 2.0,
+      "trough_month": 1.25,
+      "season_start_month": 1.25,
+      "season_end_month": 1.25,
+      "season_midpoint_month": 1.5
+    },
+    "numeric_features": {
+      "season_width_months": 1.5,
+      "target_mean_value": 1.0,
+      "target_amplitude": 1.0,
+      "baseline_to_peak_ratio": 1.0,
+      "autumn_to_winter_weight_ratio": 0.75,
+      "year_end_to_winter_weight_ratio": 0.75,
+      "decay_to_growth_ratio": 0.75,
+      "active_month_count_ge_0_10": 1.0,
+      "fit_score": 0.25
+    },
+    "categorical_features": {
+      "model_family": 1.0,
+      "primary_class": 1.0,
+      "confidence": 0.25,
+      "baseline_presence": 0.75,
+      "timing": 1.0,
+      "season_width_class": 0.75,
+      "window_shape": 0.75,
+      "post_peak_decline": 0.75,
+      "offseason_suppression": 0.75,
+      "summer_suppression": 0.75,
+      "autumn_component": 0.75,
+      "response_dynamics": 0.75
+    },
+    "missing_value_policy": "Missing feature values are skipped for that pair/component. Component weights are renormalised over available components."
+  },
+  "species": [
+    {
+      "species": "Black Headed Gull",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Blackbird",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Blackcap",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Blue Tit",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Buzzard",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Canada Goose",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Chaffinch",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Coal Tit",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Collared Dove",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Common Kestrel",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Common Starling",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_spring_persistence_and_summer_suppression"
+    },
+    {
+      "species": "Coot",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Cormorant",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Crow",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_spring_persistence_and_summer_suppression"
+    },
+    {
+      "species": "Dunnock",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Goldfinch",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_spring_persistence_and_summer_suppression"
+    },
+    {
+      "species": "Great Tit",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Greenfinch",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Grey Heron",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_spring_persistence_and_summer_suppression"
+    },
+    {
+      "species": "Greylag Goose",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Herring Gull",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "House Sparrow",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Jackdaw",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_spring_persistence_and_summer_suppression"
+    },
+    {
+      "species": "Jay",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Long Tailed Tit",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Magpie",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_spring_persistence_and_summer_suppression"
+    },
+    {
+      "species": "Mallard",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Mistle Thrush",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Mute Swan",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Pheasant",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Pied Wagtail",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Red Kite",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_spring_persistence_and_summer_suppression"
+    },
+    {
+      "species": "Robin",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Rook",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Skylark",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Song Thrush",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Woodpigeon",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_spring_persistence_and_summer_suppression"
+    },
+    {
+      "species": "Wren",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Chiffchaff",
+      "model_family": "seasonal_presence",
+      "primary_class": "extended_spring_seasonal_presence"
+    },
+    {
+      "species": "Cuckoo",
+      "model_family": "seasonal_presence",
+      "primary_class": "narrow_spring_seasonal_presence"
+    },
+    {
+      "species": "Garden Warbler",
+      "model_family": "seasonal_presence",
+      "primary_class": "extended_early_spring_seasonal_presence"
+    },
+    {
+      "species": "Reed Warbler",
+      "model_family": "seasonal_presence",
+      "primary_class": "moderate_spring_seasonal_presence"
+    },
+    {
+      "species": "Swallow",
+      "model_family": "seasonal_presence",
+      "primary_class": "extended_spring_seasonal_presence"
+    },
+    {
+      "species": "Swift",
+      "model_family": "seasonal_presence",
+      "primary_class": "extended_summer_seasonal_presence"
+    },
+    {
+      "species": "Whitethroat",
+      "model_family": "seasonal_presence",
+      "primary_class": "moderate_spring_seasonal_presence"
+    },
+    {
+      "species": "Redwing",
+      "model_family": "winter_presence",
+      "primary_class": "winter_visitor_with_autumn_arrival_component"
+    }
+  ],
+  "nearest_neighbours": {
+    "Black Headed Gull": [
+      {
+        "species": "Coot",
+        "model_family": "resident_detectability",
+        "primary_class": "resident_with_summer_detectability_collapse",
+        "similarity": 0.894995,
+        "distance": 0.105005,
+        "component_distances": {
+          "circular_month": 0.0,
+          "numeric": 0.139403,
+          "categorical": 0.12,
+          "traits": 0.307692
+        }
+      },
+      {
+        "species": "Herring Gull",
+        "model_family": "resident_detectability",
+        "primary_class": "resident_with_summer_detectability_collapse",
+        "similarity": 0.851584,
+        "distance": 0.148416,
+        "component_distances": {
+          "circular_month": 0.0,
+          "numeric": 0.177664,
+          "categorical": 0.12,
+          "traits": 0.533333
+        }
+      },
+      {
+        "species": "Cormorant",
+        "model_family": "resident_detectability",
+        "primary_class": "resident_with_summer_detectability_collapse",
+        "similarity": 0.812228,
+        "distance": 0.187772,
+        "component_distances": {
+          "circular_month": 0.128205,
+          "numeric": 0.233346,
+          "categorical": 0.16,
+          "traits": 0.307692
+        }
+      },
+      {
+        "species": "Greylag Goose",
+        "model_family": "resident_detectability",
+        "primary_class": "resident_with_summer_detectability_collapse",
+        "similarity": 0.812143,
+        "distance": 0.187857,
+        "component_distances": {
+          "circular_month": 0.205128,
+          "numeric": 0.078607,
+          "categorical": 0.2,
+          "traits": 0.307692
+        }
+      },
+      {
+        "species": "Robin",
+        "model_family": "resident_detectability",
+        "primary_class": "resident_with_summer_detectability_collapse",
+        "similarity": 0.806506,
+        "distance": 0.193494,
+        "component_distances": {
+          "circular_month": 0.128205,
+          "numeric": 0.119703,
+          "categorical": 0.24,
+          "traits": 0.428571
+        }
+      }
+    ],
+    "Blackbird": [
+      {
+        "species": "Dunnock",
+        "model_family": "resident_detectability",
+        "primary_class": "resident_with_summer_detectability_collapse",
+        "similarity": 0.918531,
+        "distance": 0.081469,
+        "component_distances": {
+          "circular_month": 0.0,
+          "numeric": 0.193877,
+          "categorical": 0.04,
+          "traits": 0.166667
+        }
+      },
+      {
+        "species": "Blue Tit",
+        "model_family": "resident_detectability",
+        "primary_class": "resident_with_summer_detectability_collapse",
+        "similarity": 0.879602,
+        "distance": 0.120398,
+        "component_distances": {
+          "circular_month": 0.064103,
+          "numeric": 0.194414,
+          "categorical": 0.0,
+          "traits": 0.307692
+        }
+      },
+      {
+        "species": "Buzzard",
+        "model_family": "resident_detectability",
+        "primary_class": "resident_with_summer_detectability_collapse",
+        "similarity": 0.842073,
+        "distance": 0.157927,
+        "component_distances": {
+          "circular_month": 0.064103,
+          "numeric": 0.176002,
+          "categorical": 0.12,
+          "traits": 0.428571
+        }
+      },
+      {
+        "species": "Song Thrush",
+        "model_family": "resident_detectability",
+        "primary_class": "resident_with_summer_detectability_collapse",
+        "similarity": 0.838582,
+        "distance": 0.161418,
+        "component_distances": {
+          "circular_month": 0.0,
+          "numeric": 0.229672,
+          "categorical": 0.12,
+          "traits": 0.533333
+        }
+      },
+      {
+        "species": "Greylag Goose",
+        "model_family": "resident_detectability",
+        "primary_class": "resident_with_summer_detectability_collapse",
+        "similarity": 0.786224,
+        "distance": 0.213776,
+        "component_distances": {
+          "circular_month": 0.102564,
+          "numeric": 0.147003,
+          "categorical": 0.28,
+          "traits": 0.533333
+        }
+      }
+    ],
+    "Blackcap": [
+      {
+        "species": "Skylark",
+        "model_family": "resident_detectability",
+        "primary_class": "resident_with_summer_detectability_collapse",
+        "similarity": 0.93544,
+        "distance": 0.06456,
+        "component_distances": {
+          "circular_month": 0.0,
+          "numeric": 0.073625,
+          "categorical": 0.0,
+          "traits": 0.307692
+        }
+      },
+      {
+        "species": "Coal Tit",
+        "model_family": "resident_detectability",
+        "primary_class": "resident_with_summer_detectability_collapse",
+        "similarity": 0.838068,
+        "distance": 0.161932,
+        "component_distances": {
+          "circular_month": 0.128205,
+          "numeric": 0.067599,
+          "categorical": 0.0,
+          "traits": 0.625
+        }
+      },
+      {
+        "species": "Pied Wagtail",
+        "model_family": "resident_detectability",
+        "primary_class": "resident_with_summer_detectability_collapse",
+        "similarity": 0.807785,
+        "distance": 0.192215,
+        "component_distances": {
+          "circular_month": 0.064103,
+          "numeric": 0.195297,
+          "categorical": 0.12,
+          "traits": 0.625
+        }
+      },
+      {
+        "species": "Mallard",
+        "model_family": "resident_detectability",
+        "primary_class": "resident_with_summer_detectability_collapse",
+        "similarity": 0.806102,
+        "distance": 0.193898,
+        "component_distances": {
+          "circular_month": 0.064103,
+          "numeric": 0.257026,
+          "categorical": 0.12,
+          "traits": 0.533333
+        }
+      },
+      {
+        "species": "Chaffinch",
+        "model_family": "resident_detectability",
+        "primary_class": "resident_with_summer_detectability_collapse",
+        "similarity": 0.804648,
+        "distance": 0.195352,
+        "component_distances": {
+          "circular_month": 0.166667,
+          "numeric": 0.162742,
+          "categorical": 0.04,
+          "traits": 0.533333
+        }
+      }
+    ],
+    "Blue Tit": [
+      {
+        "species": "Dunnock",
+        "model_family": "resident_detectability",
+        "primary_class": "resident_with_summer_detectability_collapse",
+        "similarity": 0.924596,
+        "distance": 0.075404,
+        "component_distances": {
+          "circular_month": 0.064103,
+          "numeric": 0.067052,
+          "categorical": 0.04,
+          "traits": 0.166667
+        }
+      },
+      {
+        "species": "Buzzard",
+        "model_family": "resident_detectability",
+        "primary_class": "resident_with_summer_detectability_collapse",
+        "similarity": 0.916924,
+        "distance": 0.083076,
+        "component_distances": {
+          "circular_month": 0.0,
+          "numeric": 0.136306,
+          "categorical": 0.12,
+          "traits": 0.166667
+        }
+      },
+      {
+        "species": "Blackbird",
+        "model_family": "resident_detectability",
+        "primary_class": "resident_with_summer_detectability_collapse",
+        "similarity": 0.879602,
+        "distance": 0.120398,
+        "component_distances": {
+          "circular_month": 0.064103,
+          "numeric": 0.194414,
+          "categorical": 0.0,
+          "traits": 0.307692
+        }
+      },
+      {
+        "species": "Great Tit",
+        "model_family": "resident_detectability",
+        "primary_class": "resident_with_summer_detectability_collapse",
+        "similarity": 0.832147,
+        "distance": 0.167853,
+        "component_distances": {
+          "circular_month": 0.102564,
+          "numeric": 0.122165,
+          "categorical": 0.16,
+          "traits": 0.428571
+        }
+      },
+      {
+        "species": "Mallard",
+        "model_family": "resident_detectability",
+        "primary_class": "resident_with_summer_detectability_collapse",
+        "similarity": 0.828996,
+        "distance": 0.171004,
+        "component_distances": {
+          "circular_month": 0.205128,
+          "numeric": 0.095813,
+          "categorical": 0.2,
+          "traits": 0.166667
+        }
+      }
+    ],
+    "Buzzard": [
+      {
+        "species": "Blue Tit",
+        "model_family": "resident_detectability",
+        "primary_class": "resident_with_summer_detectability_collapse",
+        "similarity": 0.916924,
+        "distance": 0.083076,
+        "component_distances": {
+          "circular_month": 0.0,
+          "numeric": 0.136306,
+          "categorical": 0.12,
+          "traits": 0.166667
+        }
+      },
+      {
+        "species": "Dunnock",
+        "model_family": "resident_detectability",
+        "primary_class": "resident_with_summer_detectability_collapse",
+        "similarity": 0.867094,
+        "distance": 0.132906,
+        "component_distances": {
+          "circular_month": 0.064103,
+          "numeric": 0.116444,
+          "categorical": 0.16,
+          "traits": 0.307692
+        }
+      },
+      {
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+      "species_b": "Swift",
+      "model_family_a": "seasonal_presence",
+      "model_family_b": "seasonal_presence",
+      "primary_class_a": "narrow_spring_seasonal_presence",
+      "primary_class_b": "extended_summer_seasonal_presence",
+      "similarity": 0.512362,
+      "distance": 0.487638,
+      "component_distances": {
+        "circular_month": 0.245833,
+        "numeric": 0.467766,
+        "categorical": 0.68,
+        "traits": 0.909091
+      },
+      "compared_feature_counts": {
+        "circular_month": 4,
+        "numeric": 2,
+        "categorical": 8,
+        "traits": 1
+      }
+    },
+    {
+      "species_a": "Cuckoo",
+      "species_b": "Whitethroat",
+      "model_family_a": "seasonal_presence",
+      "model_family_b": "seasonal_presence",
+      "primary_class_a": "narrow_spring_seasonal_presence",
+      "primary_class_b": "moderate_spring_seasonal_presence",
+      "similarity": 0.703949,
+      "distance": 0.296051,
+      "component_distances": {
+        "circular_month": 0.050278,
+        "numeric": 0.111758,
+        "categorical": 0.64,
+        "traits": 0.8
+      },
+      "compared_feature_counts": {
+        "circular_month": 4,
+        "numeric": 2,
+        "categorical": 8,
+        "traits": 2
+      }
+    },
+    {
+      "species_a": "Cuckoo",
+      "species_b": "Redwing",
+      "model_family_a": "seasonal_presence",
+      "model_family_b": "winter_presence",
+      "primary_class_a": "narrow_spring_seasonal_presence",
+      "primary_class_b": "winter_visitor_with_autumn_arrival_component",
+      "similarity": 0.297966,
+      "distance": 0.702034,
+      "component_distances": {
+        "circular_month": 0.748333,
+        "numeric": 0.210801,
+        "categorical": 1.0,
+        "traits": 1.0
+      },
+      "compared_feature_counts": {
+        "circular_month": 1,
+        "numeric": 1,
+        "categorical": 4,
+        "traits": 0
+      }
+    },
+    {
+      "species_a": "Garden Warbler",
+      "species_b": "Reed Warbler",
+      "model_family_a": "seasonal_presence",
+      "model_family_b": "seasonal_presence",
+      "primary_class_a": "extended_early_spring_seasonal_presence",
+      "primary_class_b": "moderate_spring_seasonal_presence",
+      "similarity": 0.595204,
+      "distance": 0.404796,
+      "component_distances": {
+        "circular_month": 0.130556,
+        "numeric": 0.32084,
+        "categorical": 0.68,
+        "traits": 0.909091
+      },
+      "compared_feature_counts": {
+        "circular_month": 4,
+        "numeric": 2,
+        "categorical": 8,
+        "traits": 1
+      }
+    },
+    {
+      "species_a": "Garden Warbler",
+      "species_b": "Swallow",
+      "model_family_a": "seasonal_presence",
+      "model_family_b": "seasonal_presence",
+      "primary_class_a": "extended_early_spring_seasonal_presence",
+      "primary_class_b": "extended_spring_seasonal_presence",
+      "similarity": 0.518881,
+      "distance": 0.481119,
+      "component_distances": {
+        "circular_month": 0.455278,
+        "numeric": 0.34803,
+        "categorical": 0.56,
+        "traits": 0.666667
+      },
+      "compared_feature_counts": {
+        "circular_month": 4,
+        "numeric": 2,
+        "categorical": 8,
+        "traits": 3
+      }
+    },
+    {
+      "species_a": "Garden Warbler",
+      "species_b": "Swift",
+      "model_family_a": "seasonal_presence",
+      "model_family_b": "seasonal_presence",
+      "primary_class_a": "extended_early_spring_seasonal_presence",
+      "primary_class_b": "extended_summer_seasonal_presence",
+      "similarity": 0.576699,
+      "distance": 0.423301,
+      "component_distances": {
+        "circular_month": 0.490278,
+        "numeric": 0.06076,
+        "categorical": 0.56,
+        "traits": 0.666667
+      },
+      "compared_feature_counts": {
+        "circular_month": 4,
+        "numeric": 2,
+        "categorical": 8,
+        "traits": 3
+      }
+    },
+    {
+      "species_a": "Garden Warbler",
+      "species_b": "Whitethroat",
+      "model_family_a": "seasonal_presence",
+      "model_family_b": "seasonal_presence",
+      "primary_class_a": "extended_early_spring_seasonal_presence",
+      "primary_class_b": "moderate_spring_seasonal_presence",
+      "similarity": 0.481253,
+      "distance": 0.518747,
+      "component_distances": {
+        "circular_month": 0.261389,
+        "numeric": 0.416767,
+        "categorical": 0.8,
+        "traits": 1.0
+      },
+      "compared_feature_counts": {
+        "circular_month": 4,
+        "numeric": 2,
+        "categorical": 8,
+        "traits": 0
+      }
+    },
+    {
+      "species_a": "Garden Warbler",
+      "species_b": "Redwing",
+      "model_family_a": "seasonal_presence",
+      "model_family_b": "winter_presence",
+      "primary_class_a": "extended_early_spring_seasonal_presence",
+      "primary_class_b": "winter_visitor_with_autumn_arrival_component",
+      "similarity": 0.481228,
+      "distance": 0.518772,
+      "component_distances": {
+        "circular_month": 0.353333,
+        "numeric": 0.109756,
+        "categorical": 1.0,
+        "traits": 1.0
+      },
+      "compared_feature_counts": {
+        "circular_month": 1,
+        "numeric": 1,
+        "categorical": 4,
+        "traits": 0
+      }
+    },
+    {
+      "species_a": "Reed Warbler",
+      "species_b": "Swallow",
+      "model_family_a": "seasonal_presence",
+      "model_family_b": "seasonal_presence",
+      "primary_class_a": "moderate_spring_seasonal_presence",
+      "primary_class_b": "extended_spring_seasonal_presence",
+      "similarity": 0.428596,
+      "distance": 0.571404,
+      "component_distances": {
+        "circular_month": 0.351111,
+        "numeric": 0.666382,
+        "categorical": 0.64,
+        "traits": 0.909091
+      },
+      "compared_feature_counts": {
+        "circular_month": 4,
+        "numeric": 2,
+        "categorical": 8,
+        "traits": 1
+      }
+    },
+    {
+      "species_a": "Reed Warbler",
+      "species_b": "Swift",
+      "model_family_a": "seasonal_presence",
+      "model_family_b": "seasonal_presence",
+      "primary_class_a": "moderate_spring_seasonal_presence",
+      "primary_class_b": "extended_summer_seasonal_presence",
+      "similarity": 0.588678,
+      "distance": 0.411322,
+      "component_distances": {
+        "circular_month": 0.386111,
+        "numeric": 0.275511,
+        "categorical": 0.44,
+        "traits": 0.666667
+      },
+      "compared_feature_counts": {
+        "circular_month": 4,
+        "numeric": 2,
+        "categorical": 8,
+        "traits": 3
+      }
+    },
+    {
+      "species_a": "Reed Warbler",
+      "species_b": "Whitethroat",
+      "model_family_a": "seasonal_presence",
+      "model_family_b": "seasonal_presence",
+      "primary_class_a": "moderate_spring_seasonal_presence",
+      "primary_class_b": "moderate_spring_seasonal_presence",
+      "similarity": 0.846272,
+      "distance": 0.153728,
+      "component_distances": {
+        "circular_month": 0.157222,
+        "numeric": 0.095926,
+        "categorical": 0.12,
+        "traits": 0.285714
+      },
+      "compared_feature_counts": {
+        "circular_month": 4,
+        "numeric": 2,
+        "categorical": 8,
+        "traits": 5
+      }
+    },
+    {
+      "species_a": "Reed Warbler",
+      "species_b": "Redwing",
+      "model_family_a": "seasonal_presence",
+      "model_family_b": "winter_presence",
+      "primary_class_a": "moderate_spring_seasonal_presence",
+      "primary_class_b": "winter_visitor_with_autumn_arrival_component",
+      "similarity": 0.412383,
+      "distance": 0.587617,
+      "component_distances": {
+        "circular_month": 0.52,
+        "numeric": 0.118467,
+        "categorical": 1.0,
+        "traits": 1.0
+      },
+      "compared_feature_counts": {
+        "circular_month": 1,
+        "numeric": 1,
+        "categorical": 4,
+        "traits": 0
+      }
+    },
+    {
+      "species_a": "Swallow",
+      "species_b": "Swift",
+      "model_family_a": "seasonal_presence",
+      "model_family_b": "seasonal_presence",
+      "primary_class_a": "extended_spring_seasonal_presence",
+      "primary_class_b": "extended_summer_seasonal_presence",
+      "similarity": 0.562428,
+      "distance": 0.437572,
+      "component_distances": {
+        "circular_month": 0.10375,
+        "numeric": 0.398835,
+        "categorical": 0.8,
+        "traits": 0.909091
+      },
+      "compared_feature_counts": {
+        "circular_month": 4,
+        "numeric": 2,
+        "categorical": 8,
+        "traits": 1
+      }
+    },
+    {
+      "species_a": "Swallow",
+      "species_b": "Whitethroat",
+      "model_family_a": "seasonal_presence",
+      "model_family_b": "seasonal_presence",
+      "primary_class_a": "extended_spring_seasonal_presence",
+      "primary_class_b": "moderate_spring_seasonal_presence",
+      "similarity": 0.500984,
+      "distance": 0.499016,
+      "component_distances": {
+        "circular_month": 0.215764,
+        "numeric": 0.754842,
+        "categorical": 0.52,
+        "traits": 0.8
+      },
+      "compared_feature_counts": {
+        "circular_month": 4,
+        "numeric": 2,
+        "categorical": 8,
+        "traits": 2
+      }
+    },
+    {
+      "species_a": "Swallow",
+      "species_b": "Redwing",
+      "model_family_a": "seasonal_presence",
+      "model_family_b": "winter_presence",
+      "primary_class_a": "extended_spring_seasonal_presence",
+      "primary_class_b": "winter_visitor_with_autumn_arrival_component",
+      "similarity": 0.31585,
+      "distance": 0.68415,
+      "component_distances": {
+        "circular_month": 0.745,
+        "numeric": 0.144599,
+        "categorical": 1.0,
+        "traits": 1.0
+      },
+      "compared_feature_counts": {
+        "circular_month": 1,
+        "numeric": 1,
+        "categorical": 4,
+        "traits": 0
+      }
+    },
+    {
+      "species_a": "Swift",
+      "species_b": "Whitethroat",
+      "model_family_a": "seasonal_presence",
+      "model_family_b": "seasonal_presence",
+      "primary_class_a": "extended_summer_seasonal_presence",
+      "primary_class_b": "moderate_spring_seasonal_presence",
+      "similarity": 0.587443,
+      "distance": 0.412557,
+      "component_distances": {
+        "circular_month": 0.228889,
+        "numeric": 0.356007,
+        "categorical": 0.56,
+        "traits": 0.8
+      },
+      "compared_feature_counts": {
+        "circular_month": 4,
+        "numeric": 2,
+        "categorical": 8,
+        "traits": 2
+      }
+    },
+    {
+      "species_a": "Swift",
+      "species_b": "Redwing",
+      "model_family_a": "seasonal_presence",
+      "model_family_b": "winter_presence",
+      "primary_class_a": "extended_summer_seasonal_presence",
+      "primary_class_b": "winter_visitor_with_autumn_arrival_component",
+      "similarity": 0.269548,
+      "distance": 0.730452,
+      "component_distances": {
+        "circular_month": 0.843333,
+        "numeric": 0.172474,
+        "categorical": 1.0,
+        "traits": 1.0
+      },
+      "compared_feature_counts": {
+        "circular_month": 1,
+        "numeric": 1,
+        "categorical": 4,
+        "traits": 0
+      }
+    },
+    {
+      "species_a": "Whitethroat",
+      "species_b": "Redwing",
+      "model_family_a": "seasonal_presence",
+      "model_family_b": "winter_presence",
+      "primary_class_a": "moderate_spring_seasonal_presence",
+      "primary_class_b": "winter_visitor_with_autumn_arrival_component",
+      "similarity": 0.327113,
+      "distance": 0.672887,
+      "component_distances": {
+        "circular_month": 0.698333,
+        "numeric": 0.174216,
+        "categorical": 1.0,
+        "traits": 1.0
+      },
+      "compared_feature_counts": {
+        "circular_month": 1,
+        "numeric": 1,
+        "categorical": 4,
+        "traits": 0
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/modelling/data/abingdon-birds/analysis/species_similarity.txt b/modelling/data/abingdon-birds/analysis/species_similarity.txt
new file mode 100644
index 0000000..5379a86
--- /dev/null
+++ b/modelling/data/abingdon-birds/analysis/species_similarity.txt
@@ -0,0 +1,368 @@
+
+Black Headed Gull
+-----------------
+ 1. Coot                         similarity=0.895 distance=0.105
+ 2. Herring Gull                 similarity=0.852 distance=0.148
+ 3. Cormorant                    similarity=0.812 distance=0.188
+ 4. Greylag Goose                similarity=0.812 distance=0.188
+ 5. Robin                        similarity=0.807 distance=0.193
+
+Blackbird
+---------
+ 1. Dunnock                      similarity=0.919 distance=0.081
+ 2. Blue Tit                     similarity=0.880 distance=0.120
+ 3. Buzzard                      similarity=0.842 distance=0.158
+ 4. Song Thrush                  similarity=0.839 distance=0.161
+ 5. Greylag Goose                similarity=0.786 distance=0.214
+
+Blackcap
+--------
+ 1. Skylark                      similarity=0.935 distance=0.065
+ 2. Coal Tit                     similarity=0.838 distance=0.162
+ 3. Pied Wagtail                 similarity=0.808 distance=0.192
+ 4. Mallard                      similarity=0.806 distance=0.194
+ 5. Chaffinch                    similarity=0.805 distance=0.195
+
+Blue Tit
+--------
+ 1. Dunnock                      similarity=0.925 distance=0.075
+ 2. Buzzard                      similarity=0.917 distance=0.083
+ 3. Blackbird                    similarity=0.880 distance=0.120
+ 4. Great Tit                    similarity=0.832 distance=0.168
+ 5. Mallard                      similarity=0.829 distance=0.171
+
+Buzzard
+-------
+ 1. Blue Tit                     similarity=0.917 distance=0.083
+ 2. Dunnock                      similarity=0.867 distance=0.133
+ 3. Blackbird                    similarity=0.842 distance=0.158
+ 4. Grey Heron                   similarity=0.832 distance=0.168
+ 5. Red Kite                     similarity=0.810 distance=0.190
+
+Canada Goose
+------------
+ 1. Song Thrush                  similarity=0.853 distance=0.147
+ 2. Greenfinch                   similarity=0.817 distance=0.183
+ 3. Common Kestrel               similarity=0.806 distance=0.194
+ 4. Pheasant                     similarity=0.793 distance=0.207
+ 5. Skylark                      similarity=0.793 distance=0.207
+
+Chaffinch
+---------
+ 1. Skylark                      similarity=0.852 distance=0.148
+ 2. Coal Tit                     similarity=0.836 distance=0.164
+ 3. Pied Wagtail                 similarity=0.836 distance=0.164
+ 4. Blackcap                     similarity=0.805 distance=0.195
+ 5. Mallard                      similarity=0.784 distance=0.216
+
+Coal Tit
+--------
+ 1. Skylark                      similarity=0.867 distance=0.133
+ 2. Pied Wagtail                 similarity=0.862 distance=0.138
+ 3. Blackcap                     similarity=0.838 distance=0.162
+ 4. Chaffinch                    similarity=0.836 distance=0.164
+ 5. Mallard                      similarity=0.825 distance=0.175
+
+Collared Dove
+-------------
+ 1. House Sparrow                similarity=0.930 distance=0.070
+ 2. Mallard                      similarity=0.772 distance=0.228
+ 3. Greylag Goose                similarity=0.761 distance=0.239
+ 4. Skylark                      similarity=0.748 distance=0.252
+ 5. Pied Wagtail                 similarity=0.735 distance=0.265
+
+Common Kestrel
+--------------
+ 1. Greylag Goose                similarity=0.833 distance=0.167
+ 2. Canada Goose                 similarity=0.806 distance=0.194
+ 3. Great Tit                    similarity=0.752 distance=0.248
+ 4. Pheasant                     similarity=0.749 distance=0.251
+ 5. Dunnock                      similarity=0.743 distance=0.257
+
+Common Starling
+---------------
+ 1. Magpie                       similarity=0.878 distance=0.122
+ 2. Crow                         similarity=0.862 distance=0.138
+ 3. Woodpigeon                   similarity=0.827 distance=0.173
+ 4. Goldfinch                    similarity=0.812 distance=0.188
+ 5. Grey Heron                   similarity=0.806 distance=0.194
+
+Coot
+----
+ 1. Black Headed Gull            similarity=0.895 distance=0.105
+ 2. Cormorant                    similarity=0.862 distance=0.138
+ 3. Herring Gull                 similarity=0.824 distance=0.176
+ 4. Mistle Thrush                similarity=0.798 distance=0.202
+ 5. Song Thrush                  similarity=0.778 distance=0.222
+
+Cormorant
+---------
+ 1. Coot                         similarity=0.862 distance=0.138
+ 2. Mistle Thrush                similarity=0.836 distance=0.164
+ 3. Black Headed Gull            similarity=0.812 distance=0.188
+ 4. Robin                        similarity=0.801 distance=0.199
+ 5. Rook                         similarity=0.779 distance=0.221
+
+Crow
+----
+ 1. Magpie                       similarity=0.931 distance=0.069
+ 2. Common Starling              similarity=0.862 distance=0.138
+ 3. Goldfinch                    similarity=0.839 distance=0.161
+ 4. Woodpigeon                   similarity=0.837 distance=0.163
+ 5. Red Kite                     similarity=0.805 distance=0.195
+
+Dunnock
+-------
+ 1. Blue Tit                     similarity=0.925 distance=0.075
+ 2. Blackbird                    similarity=0.919 distance=0.081
+ 3. Buzzard                      similarity=0.867 distance=0.133
+ 4. Song Thrush                  similarity=0.825 distance=0.175
+ 5. Greylag Goose                similarity=0.824 distance=0.176
+
+Goldfinch
+---------
+ 1. Woodpigeon                   similarity=0.910 distance=0.090
+ 2. Magpie                       similarity=0.859 distance=0.141
+ 3. Crow                         similarity=0.839 distance=0.161
+ 4. Common Starling              similarity=0.812 distance=0.188
+ 5. Herring Gull                 similarity=0.809 distance=0.191
+
+Great Tit
+---------
+ 1. Pheasant                     similarity=0.956 distance=0.044
+ 2. Greylag Goose                similarity=0.876 distance=0.124
+ 3. Blue Tit                     similarity=0.832 distance=0.168
+ 4. Wren                         similarity=0.813 distance=0.187
+ 5. Pied Wagtail                 similarity=0.813 distance=0.187
+
+Greenfinch
+----------
+ 1. Wren                         similarity=0.908 distance=0.092
+ 2. Pheasant                     similarity=0.830 distance=0.170
+ 3. Song Thrush                  similarity=0.819 distance=0.181
+ 4. Canada Goose                 similarity=0.817 distance=0.183
+ 5. Rook                         similarity=0.816 distance=0.184
+
+Grey Heron
+----------
+ 1. Buzzard                      similarity=0.832 distance=0.168
+ 2. Common Starling              similarity=0.806 distance=0.194
+ 3. Blue Tit                     similarity=0.790 distance=0.210
+ 4. Jackdaw                      similarity=0.783 distance=0.217
+ 5. Great Tit                    similarity=0.781 distance=0.219
+
+Greylag Goose
+-------------
+ 1. Great Tit                    similarity=0.876 distance=0.124
+ 2. Pheasant                     similarity=0.850 distance=0.150
+ 3. Common Kestrel               similarity=0.833 distance=0.167
+ 4. Dunnock                      similarity=0.824 distance=0.176
+ 5. Rook                         similarity=0.813 distance=0.187
+
+Herring Gull
+------------
+ 1. Black Headed Gull            similarity=0.852 distance=0.148
+ 2. Mute Swan                    similarity=0.834 distance=0.166
+ 3. Coot                         similarity=0.824 distance=0.176
+ 4. Goldfinch                    similarity=0.809 distance=0.191
+ 5. Common Starling              similarity=0.776 distance=0.224
+
+House Sparrow
+-------------
+ 1. Collared Dove                similarity=0.930 distance=0.070
+ 2. Mallard                      similarity=0.787 distance=0.213
+ 3. Skylark                      similarity=0.767 distance=0.233
+ 4. Greylag Goose                similarity=0.762 distance=0.238
+ 5. Blackbird                    similarity=0.757 distance=0.243
+
+Jackdaw
+-------
+ 1. Mallard                      similarity=0.841 distance=0.159
+ 2. Grey Heron                   similarity=0.783 distance=0.217
+ 3. Pied Wagtail                 similarity=0.775 distance=0.225
+ 4. Buzzard                      similarity=0.772 distance=0.228
+ 5. Magpie                       similarity=0.758 distance=0.242
+
+Jay
+---
+ 1. Mistle Thrush                similarity=0.632 distance=0.368
+ 2. Chaffinch                    similarity=0.606 distance=0.394
+ 3. Cormorant                    similarity=0.586 distance=0.414
+ 4. Coal Tit                     similarity=0.571 distance=0.429
+ 5. Mute Swan                    similarity=0.570 distance=0.430
+
+Long Tailed Tit
+---------------
+ 1. Song Thrush                  similarity=0.786 distance=0.214
+ 2. Blue Tit                     similarity=0.774 distance=0.226
+ 3. Rook                         similarity=0.762 distance=0.238
+ 4. Cormorant                    similarity=0.751 distance=0.249
+ 5. Dunnock                      similarity=0.745 distance=0.255
+
+Magpie
+------
+ 1. Crow                         similarity=0.931 distance=0.069
+ 2. Woodpigeon                   similarity=0.885 distance=0.115
+ 3. Common Starling              similarity=0.878 distance=0.122
+ 4. Goldfinch                    similarity=0.859 distance=0.141
+ 5. Buzzard                      similarity=0.773 distance=0.227
+
+Mallard
+-------
+ 1. Pied Wagtail                 similarity=0.897 distance=0.103
+ 2. Jackdaw                      similarity=0.841 distance=0.159
+ 3. Blue Tit                     similarity=0.829 distance=0.171
+ 4. Coal Tit                     similarity=0.825 distance=0.175
+ 5. Blackcap                     similarity=0.806 distance=0.194
+
+Mistle Thrush
+-------------
+ 1. Robin                        similarity=0.843 distance=0.157
+ 2. Cormorant                    similarity=0.836 distance=0.164
+ 3. Coot                         similarity=0.798 distance=0.202
+ 4. Goldfinch                    similarity=0.766 distance=0.234
+ 5. Crow                         similarity=0.763 distance=0.237
+
+Mute Swan
+---------
+ 1. Herring Gull                 similarity=0.834 distance=0.166
+ 2. Common Starling              similarity=0.802 distance=0.198
+ 3. Black Headed Gull            similarity=0.784 distance=0.216
+ 4. Cormorant                    similarity=0.766 distance=0.234
+ 5. Coot                         similarity=0.757 distance=0.243
+
+Pheasant
+--------
+ 1. Great Tit                    similarity=0.956 distance=0.044
+ 2. Greylag Goose                similarity=0.850 distance=0.150
+ 3. Greenfinch                   similarity=0.830 distance=0.170
+ 4. Song Thrush                  similarity=0.821 distance=0.179
+ 5. Pied Wagtail                 similarity=0.812 distance=0.188
+
+Pied Wagtail
+------------
+ 1. Mallard                      similarity=0.897 distance=0.103
+ 2. Coal Tit                     similarity=0.862 distance=0.138
+ 3. Skylark                      similarity=0.845 distance=0.155
+ 4. Chaffinch                    similarity=0.836 distance=0.164
+ 5. Great Tit                    similarity=0.813 distance=0.187
+
+Red Kite
+--------
+ 1. Buzzard                      similarity=0.810 distance=0.190
+ 2. Crow                         similarity=0.805 distance=0.195
+ 3. Magpie                       similarity=0.765 distance=0.235
+ 4. Grey Heron                   similarity=0.756 distance=0.244
+ 5. Blue Tit                     similarity=0.753 distance=0.247
+
+Robin
+-----
+ 1. Mistle Thrush                similarity=0.843 distance=0.157
+ 2. Black Headed Gull            similarity=0.807 distance=0.193
+ 3. Cormorant                    similarity=0.801 distance=0.199
+ 4. Buzzard                      similarity=0.783 distance=0.217
+ 5. Crow                         similarity=0.771 distance=0.229
+
+Rook
+----
+ 1. Wren                         similarity=0.831 distance=0.169
+ 2. Greenfinch                   similarity=0.816 distance=0.184
+ 3. Greylag Goose                similarity=0.813 distance=0.187
+ 4. Great Tit                    similarity=0.794 distance=0.206
+ 5. Coal Tit                     similarity=0.793 distance=0.207
+
+Skylark
+-------
+ 1. Blackcap                     similarity=0.935 distance=0.065
+ 2. Coal Tit                     similarity=0.867 distance=0.133
+ 3. Chaffinch                    similarity=0.852 distance=0.148
+ 4. Pied Wagtail                 similarity=0.845 distance=0.155
+ 5. Song Thrush                  similarity=0.814 distance=0.186
+
+Song Thrush
+-----------
+ 1. Canada Goose                 similarity=0.853 distance=0.147
+ 2. Blackbird                    similarity=0.839 distance=0.161
+ 3. Dunnock                      similarity=0.825 distance=0.175
+ 4. Pheasant                     similarity=0.821 distance=0.179
+ 5. Greenfinch                   similarity=0.819 distance=0.181
+
+Woodpigeon
+----------
+ 1. Goldfinch                    similarity=0.910 distance=0.090
+ 2. Magpie                       similarity=0.885 distance=0.115
+ 3. Crow                         similarity=0.837 distance=0.163
+ 4. Common Starling              similarity=0.827 distance=0.173
+ 5. Herring Gull                 similarity=0.744 distance=0.256
+
+Wren
+----
+ 1. Greenfinch                   similarity=0.908 distance=0.092
+ 2. Rook                         similarity=0.831 distance=0.169
+ 3. Great Tit                    similarity=0.813 distance=0.187
+ 4. Pheasant                     similarity=0.801 distance=0.199
+ 5. Song Thrush                  similarity=0.781 distance=0.219
+
+Chiffchaff
+----------
+ 1. Garden Warbler               similarity=0.817 distance=0.183
+ 2. Cuckoo                       similarity=0.683 distance=0.317
+ 3. Reed Warbler                 similarity=0.669 distance=0.331
+ 4. Swallow                      similarity=0.667 distance=0.333
+ 5. Swift                        similarity=0.652 distance=0.348
+
+Cuckoo
+------
+ 1. Whitethroat                  similarity=0.704 distance=0.296
+ 2. Reed Warbler                 similarity=0.688 distance=0.312
+ 3. Chiffchaff                   similarity=0.683 distance=0.317
+ 4. Garden Warbler               similarity=0.574 distance=0.426
+ 5. House Sparrow                similarity=0.563 distance=0.437
+
+Garden Warbler
+--------------
+ 1. Chiffchaff                   similarity=0.817 distance=0.183
+ 2. Dunnock                      similarity=0.601 distance=0.399
+ 3. Reed Warbler                 similarity=0.595 distance=0.405
+ 4. Swift                        similarity=0.577 distance=0.423
+ 5. Cuckoo                       similarity=0.574 distance=0.426
+
+Reed Warbler
+------------
+ 1. Whitethroat                  similarity=0.846 distance=0.154
+ 2. Cuckoo                       similarity=0.688 distance=0.312
+ 3. Great Tit                    similarity=0.676 distance=0.324
+ 4. Chiffchaff                   similarity=0.669 distance=0.331
+ 5. Greylag Goose                similarity=0.665 distance=0.335
+
+Swallow
+-------
+ 1. Chiffchaff                   similarity=0.667 distance=0.333
+ 2. House Sparrow                similarity=0.581 distance=0.419
+ 3. Great Tit                    similarity=0.579 distance=0.421
+ 4. Greylag Goose                similarity=0.568 distance=0.432
+ 5. Pheasant                     similarity=0.564 distance=0.436
+
+Swift
+-----
+ 1. Chiffchaff                   similarity=0.652 distance=0.348
+ 2. Reed Warbler                 similarity=0.589 distance=0.411
+ 3. Whitethroat                  similarity=0.587 distance=0.413
+ 4. Garden Warbler               similarity=0.577 distance=0.423
+ 5. Swallow                      similarity=0.562 distance=0.438
+
+Whitethroat
+-----------
+ 1. Reed Warbler                 similarity=0.846 distance=0.154
+ 2. Cuckoo                       similarity=0.704 distance=0.296
+ 3. House Sparrow                similarity=0.592 distance=0.408
+ 4. Great Tit                    similarity=0.591 distance=0.409
+ 5. Swift                        similarity=0.587 distance=0.413
+
+Redwing
+-------
+ 1. Garden Warbler               similarity=0.481 distance=0.519
+ 2. Cormorant                    similarity=0.444 distance=0.556
+ 3. Long Tailed Tit              similarity=0.434 distance=0.566
+ 4. Mute Swan                    similarity=0.429 distance=0.571
+ 5. Reed Warbler                 similarity=0.412 distance=0.588
diff --git a/modelling/data/abingdon-birds/analysis/species_similarity_heatmap.png b/modelling/data/abingdon-birds/analysis/species_similarity_heatmap.png
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diff --git a/modelling/data/abingdon-birds/resident/black_headed_gull_classification.json b/modelling/data/abingdon-birds/resident/black_headed_gull_classification.json
new file mode 100644
index 0000000..1878d9e
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/black_headed_gull_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Black Headed Gull",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "moderate",
+    "detectability_peak_timing": "winter",
+    "detectability_trough_timing": "autumn",
+    "spring_carryover": "weak",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "moderate",
+    "pre_summer_retention": "strong",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "moderate_baseline_presence",
+      "winter_detectability_peak",
+      "autumn_detectability_trough",
+      "weak_spring_carryover",
+      "moderate_summer_suppression",
+      "moderate_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "decline_biased_response_dynamics"
+    ],
+    "confidence": "medium"
+  },
+  "derived_metrics": {
+    "target_peak_month": 2,
+    "target_peak_label": "February",
+    "target_trough_month": 9,
+    "target_trough_label": "September",
+    "target_peak_value": 0.8099140012788641,
+    "target_trough_value": 0.15930676225356794,
+    "target_mean_value": 0.41979462891906966,
+    "target_amplitude": 0.6506072390252963,
+    "baseline_to_peak_ratio": 0.3630015032901893,
+    "autumn_to_winter_weight_ratio": 0.05286343612334802,
+    "year_end_to_winter_weight_ratio": 0.44493392070484583,
+    "decay_to_growth_ratio": 1.350471293916024,
+    "monthly_target": {
+      "January": 0.6318578528952912,
+      "February": 0.8099140012788641,
+      "March": 0.6404944760906929,
+      "April": 0.4188149130696801,
+      "May": 0.35975830561282374,
+      "June": 0.3560305011107351,
+      "July": 0.3287524703192311,
+      "August": 0.23917106433860502,
+      "September": 0.15930676225356794,
+      "October": 0.2615133541455453,
+      "November": 0.3091108146049577,
+      "December": 0.5228110313088417
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 1.06,
+    "GROWTH_RATE": 2.334,
+    "DECAY_RATE": 3.152,
+    "SUMMER_DECAY_BOOST": 3.504,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.554,
+    "PRE_SUMMER_DECAY_END": 7.035,
+    "PRE_SUMMER_DECAY_SHARPNESS": 9.25,
+    "SPRING_CARRYOVER_WEIGHT": 0.062,
+    "SPRING_CARRYOVER_END": 7.015,
+    "SPRING_CARRYOVER_SHARPNESS": 16.321,
+    "BASELINE": 0.294,
+    "WINTER_WEIGHT": 0.454,
+    "AUTUMN_WEIGHT": 0.024,
+    "WINTER_PEAK": 2.02,
+    "AUTUMN_PEAK": 11.175,
+    "AUTUMN_ONSET": 10.97,
+    "AUTUMN_GATE_SHARPNESS": 6.019,
+    "WINTER_WIDTH": 8.676,
+    "WINTER_RISE_WIDTH": 6.91,
+    "WINTER_FALL_WIDTH": 7.022,
+    "AUTUMN_WIDTH": 7.6,
+    "AUTUMN_RISE_WIDTH": 8.106,
+    "AUTUMN_FALL_WIDTH": 8.168,
+    "SUMMER_DIP": 0.151,
+    "SUMMER_LOW": 8.62,
+    "SUMMER_ONSET": 7.365,
+    "SUMMER_GATE_SHARPNESS": 4.97,
+    "SUMMER_DECAY_ONSET": 7.055,
+    "SUMMER_DECAY_GATE_SHARPNESS": 16.259,
+    "SUMMER_WIDTH": 20.576,
+    "SUMMER_RISE_WIDTH": 36.706,
+    "SUMMER_FALL_WIDTH": 11.498,
+    "SCALE": 1.308,
+    "YEAR_END_WEIGHT": 0.202,
+    "YEAR_END_PEAK": 12.164,
+    "YEAR_END_WIDTH": 81.148,
+    "YEAR_END_RISE_WIDTH": 151.128,
+    "YEAR_END_FALL_WIDTH": 8.774
+  },
+  "fit": {
+    "score": 0.224
+  },
+  "warnings": [],
+  "summary": "Black Headed Gull is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around February and reaches its lowest point around September. The model indicates moderate baseline presence, weak spring carry-over, strong pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/black_headed_gull_consensus.json b/modelling/data/abingdon-birds/resident/black_headed_gull_consensus.json
new file mode 100644
index 0000000..5eb29fc
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/black_headed_gull_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.224",
+  "INITIAL_Y": "1.06",
+  "GROWTH_RATE": "2.334",
+  "DECAY_RATE": "3.152",
+  "SUMMER_DECAY_BOOST": "3.504",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.554",
+  "PRE_SUMMER_DECAY_END": "7.035",
+  "PRE_SUMMER_DECAY_SHARPNESS": "9.25",
+  "SPRING_CARRYOVER_WEIGHT": "0.062",
+  "SPRING_CARRYOVER_END": "7.015",
+  "SPRING_CARRYOVER_SHARPNESS": "16.321",
+  "BASELINE": "0.294",
+  "WINTER_WEIGHT": "0.454",
+  "AUTUMN_WEIGHT": "0.024",
+  "WINTER_PEAK": "2.02",
+  "AUTUMN_PEAK": "11.175",
+  "AUTUMN_ONSET": "10.97",
+  "AUTUMN_GATE_SHARPNESS": "6.019",
+  "WINTER_WIDTH": "8.676",
+  "WINTER_RISE_WIDTH": "6.91",
+  "WINTER_FALL_WIDTH": "7.022",
+  "AUTUMN_WIDTH": "7.6",
+  "AUTUMN_RISE_WIDTH": "8.106",
+  "AUTUMN_FALL_WIDTH": "8.168",
+  "SUMMER_DIP": "0.151",
+  "SUMMER_LOW": "8.62",
+  "SUMMER_ONSET": "7.365",
+  "SUMMER_GATE_SHARPNESS": "4.97",
+  "SUMMER_DECAY_ONSET": "7.055",
+  "SUMMER_DECAY_GATE_SHARPNESS": "16.259",
+  "SUMMER_WIDTH": "20.576",
+  "SUMMER_RISE_WIDTH": "36.706",
+  "SUMMER_FALL_WIDTH": "11.498",
+  "SCALE": "1.308",
+  "YEAR_END_WEIGHT": "0.202",
+  "YEAR_END_PEAK": "12.164",
+  "YEAR_END_WIDTH": "81.148",
+  "YEAR_END_RISE_WIDTH": "151.128",
+  "YEAR_END_FALL_WIDTH": "8.774",
+  "SPECIES": "Black Headed Gull"
+}
diff --git a/modelling/data/abingdon-birds/resident/black_headed_gull_observed.csv b/modelling/data/abingdon-birds/resident/black_headed_gull_observed.csv
new file mode 100644
index 0000000..1c924ae
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/black_headed_gull_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,106
+2,79
+3,91
+4,52
+5,41
+6,38
+7,33
+8,11
+9,10
+10,37
+11,79
+12,92
diff --git a/modelling/data/abingdon-birds/resident/black_headed_gull_parameters.csv b/modelling/data/abingdon-birds/resident/black_headed_gull_parameters.csv
new file mode 100644
index 0000000..85b36da
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/black_headed_gull_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 09:41:17,black_headed_gull_observed.csv,0.5068008424375885637259885841,1.105,3.426,2.36,1.27,0.674,6.81,15.928,0.001,6.67,12.569,0.301,0.323,0.013,11.97,1.26,10.65,6.011,7.392,3.68,11.105,12.077,13.108,11.046,0.027,9.11,7.64,2.575,6.74,9.855,25.126,33.673,16.578,1.1,0.083,12.253,78.332,152.386,4.279
+2026-05-21 09:41:18,black_headed_gull_observed.csv,0.7203506308007436909701445065,1.037,1.909,2.903,0.484,0.936,6.69,9.962,0.026,7.12,7.086,0.091,0.393,0.03,2.21,1.46,11.48,8.936,15.966,14.343,17.590,10.170,6.412,13.929,0.011,8.68,8.05,7.877,7.13,7.136,6.786,2.316,11.256,1.582,0.08,12.085,70.044,131.429,8.66
+2026-05-21 09:41:18,black_headed_gull_observed.csv,0.3423387573448081144714565786,0.811,2.472,4.118,7.854,0.789,7.32,14.218,0.04,7.47,25.852,0.065,0.056,0.041,11.67,10.65,11.38,8.275,7.838,2.318,13.359,4.694,6.171,3.217,0.04,8.4,7.45,1.327,6.75,10.725,42.510,67.596,17.424,1.5,0.074,12.064,121.855,233.161,10.549
+2026-05-21 09:41:18,black_headed_gull_observed.csv,0.4945520545561229104691949523,0.958,2.865,2.129,4.348,0.696,6.72,6.614,0.1,7.28,21.307,0.053,0.241,0.029,2.2,1.09,11.29,8.905,9.834,8.69,10.977,7.099,7.841,6.357,0.042,10.41,7.04,4.367,6.85,17.377,44.363,77.388,11.338,1.689,0.062,12.111,67.342,120.36,14.324
+2026-05-21 09:41:19,black_headed_gull_observed.csv,0.6230868060766107925878982734,0.865,2.819,2.613,2.504,0.145,7.43,14.111,0.062,7.11,12.583,0.41,0.61,0.012,1.16,1.11,10.33,3.84,2.919,2.104,3.734,6.565,9.665,3.465,0.168,8.3,7.96,3.057,7.19,17.947,34.685,60.902,8.468,1.5,0.138,12.104,76.464,140.981,11.946
+2026-05-21 09:41:19,black_headed_gull_observed.csv,1.531615994969229150927563313,1.249,3.152,1.127,3.542,0.229,7.31,8.576,0.019,7.05,10.946,0.258,0.031,0.032,1.84,10.54,10.68,2.175,12.506,6.479,18.532,4.628,1.979,7.278,0.047,9.96,7.64,6.664,7.4,17.101,20.943,40.051,1.835,0.877,0.011,12.249,45.460,83.465,7.455
+2026-05-21 09:41:19,black_headed_gull_observed.csv,0.1905364985107169960703961781,1.034,3.826,3.742,2.947,0.358,7.69,8.616,0.097,6.99,11.803,0.155,0.279,0.024,1.2,11.62,11.27,2.671,4.630,2.225,7.034,12.041,12.779,11.303,0.239,7.85,7.75,4.475,6.77,20.599,36.456,65.785,7.127,1.339,0.063,12.096,53.249,99.363,7.135
+2026-05-21 09:41:20,black_headed_gull_observed.csv,0.3193867965881378413215549168,1.348,0.623,1.066,3.921,0.206,6.7,4.332,0.002,7.28,24.262,0.262,0.384,0.027,11.51,1.06,11.14,4.739,11.464,11.835,11.092,4.973,6.898,3.048,0.241,7.62,7.83,2.351,6.77,15.509,7.216,10.713,3.718,1.293,0.169,12.072,112.913,209.89,15.936
+2026-05-21 09:41:20,black_headed_gull_observed.csv,1.035178122715075518289393690,1.287,1.728,2.192,3.053,0.106,6.58,15.588,0.022,7.52,19.779,0.335,0.191,0.023,2.05,11.43,10.35,8.421,10.965,8.761,13.169,6.492,12.546,0.439,0.008,8.56,7.63,6.534,7.14,22.226,27.774,36.27,19.279,1.317,0.098,12.027,44.936,84.608,5.264
+2026-05-21 09:41:20,black_headed_gull_observed.csv,0.5853437495476791805390595158,0.908,2.023,1.662,7.607,0.351,6.25,13.645,0.046,6.76,7.084,0.358,0.649,0.02,11.95,11.16,10.41,10.77,14.511,16.526,12.496,9.542,8.165,10.918,0.005,8.46,6.58,2.544,7.12,23.226,46.331,79.184,13.478,1.167,0.136,12.014,101.448,192.063,10.832
+2026-05-21 09:41:20,black_headed_gull_observed.csv,0.7947046451572592660284727918,1.133,2.659,4.714,7.264,0.583,6.74,15.111,0.055,7.19,15.467,0.092,0.12,0.048,1.39,11.32,10.65,2.556,11.905,17.925,5.885,11.477,13.929,9.025,0.243,8.65,6.11,5.543,6.99,7.835,32.052,58.756,5.348,1.287,0.122,12.2,73.158,134.548,11.768
+2026-05-21 09:41:21,black_headed_gull_observed.csv,0.5757623464116535278299016420,0.783,2.563,5.968,5.889,0.235,6.58,6.554,0.074,6.55,13.779,0.184,0.51,0.01,1.03,11.13,11.33,7.492,13.308,7.432,19.184,10.408,7.368,13.449,0.103,10.13,7.49,5.646,7.39,10.972,19.829,34.637,5.021,1.484,0.005,12.031,55.292,95.084,15.501
+2026-05-21 09:41:21,black_headed_gull_observed.csv,0.3388421555014694532565455614,0.801,1.979,4.769,4.108,0.477,7.11,11.736,0.079,7.11,6.785,0.239,0.485,0.041,1.03,10.81,10.46,8.554,11.222,11.302,11.142,11.644,13.599,9.69,0.183,9.48,6.27,1.846,7.55,14.334,19.562,33.442,5.683,0.886,0.192,12.157,55.758,95.77,15.746
+2026-05-21 09:41:21,black_headed_gull_observed.csv,0.2984042651546808472544527342,1.165,3.213,1.853,0.469,0.368,7.41,3.441,0.066,7.15,8.701,0.28,0.178,0.012,2.31,11.77,10.74,4.129,8.405,4.345,12.465,9.480,5.903,13.057,0.043,9.27,6.84,7.501,7.25,20.866,37.965,63.802,12.128,1.679,0.089,12.175,79.391,147.526,11.256
+2026-05-21 09:41:22,black_headed_gull_observed.csv,0.8411822891788223390458641858,0.786,2.786,2.493,5.86,0.942,7.18,10.77,0.092,6.81,27.419,0.248,0.672,0.015,1.48,10.93,11.21,9.976,8.919,7.263,10.575,9.042,6.468,11.617,0.247,10.15,8.34,6.345,7.22,19.559,33.166,50.397,15.934,1.312,0.139,12.122,72.014,139.519,4.508
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diff --git a/modelling/data/abingdon-birds/resident/black_headed_gull_simulated.csv b/modelling/data/abingdon-birds/resident/black_headed_gull_simulated.csv
new file mode 100644
index 0000000..dbc09ff
--- /dev/null
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diff --git a/modelling/data/abingdon-birds/resident/black_headed_gull_synthesised.csv b/modelling/data/abingdon-birds/resident/black_headed_gull_synthesised.csv
new file mode 100644
index 0000000..847ad22
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/black_headed_gull_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-birds/resident/black_headed_gull_synthesised.png b/modelling/data/abingdon-birds/resident/black_headed_gull_synthesised.png
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diff --git a/modelling/data/abingdon-birds/resident/blackbird_classification.json b/modelling/data/abingdon-birds/resident/blackbird_classification.json
new file mode 100644
index 0000000..6e5bad3
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/blackbird_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Blackbird",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "strong",
+    "detectability_peak_timing": "spring",
+    "detectability_trough_timing": "autumn",
+    "spring_carryover": "strong",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "moderate",
+    "pre_summer_retention": "strong",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "strong_baseline_presence",
+      "spring_detectability_peak",
+      "autumn_detectability_trough",
+      "strong_spring_carryover",
+      "moderate_summer_suppression",
+      "moderate_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "medium"
+  },
+  "derived_metrics": {
+    "target_peak_month": 3,
+    "target_peak_label": "March",
+    "target_trough_month": 9,
+    "target_trough_label": "September",
+    "target_peak_value": 1.00793449391471,
+    "target_trough_value": 0.18123986301147627,
+    "target_mean_value": 0.5591013398309653,
+    "target_amplitude": 0.8266946309032337,
+    "baseline_to_peak_ratio": 0.31946520527280137,
+    "autumn_to_winter_weight_ratio": 0.08418367346938775,
+    "year_end_to_winter_weight_ratio": 0.33163265306122447,
+    "decay_to_growth_ratio": 1.849680170575693,
+    "monthly_target": {
+      "January": 0.6441390227725977,
+      "February": 0.8104078043446072,
+      "March": 1.00793449391471,
+      "April": 0.8576168468634761,
+      "May": 0.6590506838496218,
+      "June": 0.6194507319122071,
+      "July": 0.569445567129101,
+      "August": 0.31294291560244564,
+      "September": 0.18123986301147627,
+      "October": 0.26836179115940584,
+      "November": 0.34310620759980665,
+      "December": 0.4355201498121281
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.953,
+    "GROWTH_RATE": 1.876,
+    "DECAY_RATE": 3.47,
+    "SUMMER_DECAY_BOOST": 3.823,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.526,
+    "PRE_SUMMER_DECAY_END": 6.855,
+    "PRE_SUMMER_DECAY_SHARPNESS": 7.54,
+    "SPRING_CARRYOVER_WEIGHT": 0.296,
+    "SPRING_CARRYOVER_END": 7.1,
+    "SPRING_CARRYOVER_SHARPNESS": 16.284,
+    "BASELINE": 0.322,
+    "WINTER_WEIGHT": 0.392,
+    "AUTUMN_WEIGHT": 0.033,
+    "WINTER_PEAK": 3.095,
+    "AUTUMN_PEAK": 11.18,
+    "AUTUMN_ONSET": 10.845,
+    "AUTUMN_GATE_SHARPNESS": 6.64,
+    "WINTER_WIDTH": 9.886,
+    "WINTER_RISE_WIDTH": 8.54,
+    "WINTER_FALL_WIDTH": 8.686,
+    "AUTUMN_WIDTH": 6.99,
+    "AUTUMN_RISE_WIDTH": 7.187,
+    "AUTUMN_FALL_WIDTH": 7.958,
+    "SUMMER_DIP": 0.141,
+    "SUMMER_LOW": 8.975,
+    "SUMMER_ONSET": 7.16,
+    "SUMMER_GATE_SHARPNESS": 3.685,
+    "SUMMER_DECAY_ONSET": 7.08,
+    "SUMMER_DECAY_GATE_SHARPNESS": 12.698,
+    "SUMMER_WIDTH": 26.292,
+    "SUMMER_RISE_WIDTH": 41.001,
+    "SUMMER_FALL_WIDTH": 13.244,
+    "SCALE": 1.348,
+    "YEAR_END_WEIGHT": 0.13,
+    "YEAR_END_PEAK": 12.175,
+    "YEAR_END_WIDTH": 91.661,
+    "YEAR_END_RISE_WIDTH": 174.82,
+    "YEAR_END_FALL_WIDTH": 9.978
+  },
+  "fit": {
+    "score": 0.268
+  },
+  "warnings": [],
+  "summary": "Blackbird is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around March and reaches its lowest point around September. The model indicates strong baseline presence, strong spring carry-over, strong pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/blackbird_consensus.json b/modelling/data/abingdon-birds/resident/blackbird_consensus.json
new file mode 100644
index 0000000..c159d98
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/blackbird_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.268",
+  "INITIAL_Y": "0.953",
+  "GROWTH_RATE": "1.876",
+  "DECAY_RATE": "3.47",
+  "SUMMER_DECAY_BOOST": "3.823",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.526",
+  "PRE_SUMMER_DECAY_END": "6.855",
+  "PRE_SUMMER_DECAY_SHARPNESS": "7.54",
+  "SPRING_CARRYOVER_WEIGHT": "0.296",
+  "SPRING_CARRYOVER_END": "7.1",
+  "SPRING_CARRYOVER_SHARPNESS": "16.284",
+  "BASELINE": "0.322",
+  "WINTER_WEIGHT": "0.392",
+  "AUTUMN_WEIGHT": "0.033",
+  "WINTER_PEAK": "3.095",
+  "AUTUMN_PEAK": "11.18",
+  "AUTUMN_ONSET": "10.845",
+  "AUTUMN_GATE_SHARPNESS": "6.64",
+  "WINTER_WIDTH": "9.886",
+  "WINTER_RISE_WIDTH": "8.54",
+  "WINTER_FALL_WIDTH": "8.686",
+  "AUTUMN_WIDTH": "6.99",
+  "AUTUMN_RISE_WIDTH": "7.187",
+  "AUTUMN_FALL_WIDTH": "7.958",
+  "SUMMER_DIP": "0.141",
+  "SUMMER_LOW": "8.975",
+  "SUMMER_ONSET": "7.16",
+  "SUMMER_GATE_SHARPNESS": "3.685",
+  "SUMMER_DECAY_ONSET": "7.08",
+  "SUMMER_DECAY_GATE_SHARPNESS": "12.698",
+  "SUMMER_WIDTH": "26.292",
+  "SUMMER_RISE_WIDTH": "41.001",
+  "SUMMER_FALL_WIDTH": "13.244",
+  "SCALE": "1.348",
+  "YEAR_END_WEIGHT": "0.13",
+  "YEAR_END_PEAK": "12.175",
+  "YEAR_END_WIDTH": "91.661",
+  "YEAR_END_RISE_WIDTH": "174.82",
+  "YEAR_END_FALL_WIDTH": "9.978",
+  "SPECIES": "Blackbird"
+}
diff --git a/modelling/data/abingdon-birds/resident/blackbird_observed.csv b/modelling/data/abingdon-birds/resident/blackbird_observed.csv
new file mode 100644
index 0000000..978f209
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/blackbird_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,153
+2,129
+3,157
+4,151
+5,155
+6,132
+7,121
+8,52
+9,46
+10,53
+11,80
+12,114
diff --git a/modelling/data/abingdon-birds/resident/blackbird_parameters.csv b/modelling/data/abingdon-birds/resident/blackbird_parameters.csv
new file mode 100644
index 0000000..d84197d
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/blackbird_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 09:42:19,blackbird_observed.csv,0.6665843979047553453409438727,1.257,0.293,4.742,4.173,0.183,7.51,13.627,0.131,6.94,22.966,0.612,0.532,0.011,3.27,11.76,10.63,5.885,9.778,10.356,9.200,8.918,11.835,6.0,0.189,9.3,6.81,3.643,7.57,23.873,26.721,41.235,12.207,1.278,0.115,12.031,60.981,106.682,15.28
+2026-05-21 09:42:20,blackbird_observed.csv,36.44700865718349743694433058,0.943,0.516,0.794,0.555,0.781,6.61,5.967,0.154,7.51,25.212,0.499,0.505,0.032,1.68,11.86,10.31,2.047,16.766,14.540,18.991,3.340,5.11,1.569,0.245,9.97,6.49,4.153,7.24,21.188,44.310,79.833,8.787,1.333,0.029,12.141,48.561,87.065,10.057
+2026-05-21 09:42:20,blackbird_observed.csv,0.2952697942705957015244733692,0.993,2.451,0.71,2.254,0.658,7.08,14.452,0.144,6.72,8.541,0.173,0.569,0.042,4.34,1.34,10.71,11.927,12.027,16.348,7.706,7.869,5.117,10.621,0.197,9.23,7.35,3.671,6.77,20.959,25.348,31.082,19.614,1.367,0.246,12.095,118.374,223.521,13.226
+2026-05-21 09:42:20,blackbird_observed.csv,1.439200334434198691874675883,0.825,3.693,3.236,2.154,0.745,6.63,5.216,0.192,7.1,10.534,0.292,0.573,0.022,2.8,11.69,11.32,8.428,15.902,13.708,18.095,6.258,9.269,3.248,0.151,7.95,8.35,1.033,7.44,21.43,38.726,59.105,18.347,0.801,0.336,12.196,109.838,204.736,14.939
+2026-05-21 09:42:21,blackbird_observed.csv,1.363473294166107082807867594,0.897,2.696,4.563,3.491,0.312,6.38,4.927,0.124,6.98,18.903,0.062,0.624,0.003,3.81,11.18,10.83,2.155,8.563,11.798,5.328,3.812,1.071,6.552,0.02,8.72,8.03,6.817,7.36,21.3,43.211,66.736,19.686,1.303,0.02,12.131,53.777,102.605,4.949
+2026-05-21 09:42:21,blackbird_observed.csv,0.2088183456707544320147411015,0.897,2.519,4.515,0.606,0.535,7.53,15.717,0.33,7.5,16.208,0.545,0.42,0.032,2.4,10.83,11.01,6.553,19.546,19.141,19.95,9.082,8.806,9.358,0.108,9.75,8.02,7.543,7.25,11.959,39.866,72.422,7.31,1.578,0.087,12.153,91.462,178.21,4.715
+2026-05-21 09:42:21,blackbird_observed.csv,1.902370209366952267186408733,1.153,3.171,2.041,5.261,0.816,7.59,10.166,0.131,6.78,18.736,0.462,0.606,0.018,2.27,11.41,10.68,4.981,4.080,0.597,7.563,6.630,7.528,5.732,0.241,8.43,6.55,4.761,7.39,12.795,30.106,55.814,4.399,1.413,0.131,12.229,79.526,152.526,6.527
+2026-05-21 09:42:22,blackbird_observed.csv,0.6026142488600755382283105010,0.954,2.354,2.537,4.313,0.621,7.38,10.376,0.051,7.08,23.672,0.383,0.403,0.013,1.84,10.56,10.62,10.273,10.738,9.31,12.165,8.752,6.522,10.981,0.097,9.94,6.4,2.241,7.51,16.173,20.013,22.476,17.55,0.983,0.215,12.026,119.736,228.782,10.69
+2026-05-21 09:42:22,blackbird_observed.csv,0.7116792421355992834957065496,1.317,2.28,1.36,3.128,0.552,6.43,8.832,0.222,7.34,10.962,0.486,0.259,0.05,4.17,11.64,10.84,11.582,13.369,13.983,12.755,13.874,13.757,13.99,0.096,10.22,6.15,2.613,7.1,13.274,42.330,78.787,5.873,0.953,0.154,12.157,46.562,84.558,8.566
+2026-05-21 09:42:22,blackbird_observed.csv,0.7370324487829814168010313079,0.786,0.645,4.516,6.937,0.475,6.69,14.256,0.197,6.63,20.999,0.375,0.592,0.023,3.65,11.03,10.72,9.174,19.566,19.992,19.141,9.968,13.416,6.52,0.204,9.56,6.55,4.118,7.52,11.568,33.700,56.955,10.444,0.984,0.28,12.148,117.422,221.077,13.768
+2026-05-21 09:42:23,blackbird_observed.csv,0.7826197562412192982767202769,0.992,1.105,1.684,3.702,0.838,6.29,5.075,0.192,6.6,11.142,0.527,0.677,0.015,3.12,11.91,10.82,6.446,5.758,1.05,10.465,9.170,12.53,5.81,0.205,10.26,6.53,1.313,7.24,18.423,45.628,72.857,18.4,0.87,0.057,12.135,88.158,164.321,11.996
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diff --git a/modelling/data/abingdon-birds/resident/blackbird_simulated.csv b/modelling/data/abingdon-birds/resident/blackbird_simulated.csv
new file mode 100644
index 0000000..0660821
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/blackbird_simulated.csv
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diff --git a/modelling/data/abingdon-birds/resident/blackbird_synthesised.csv b/modelling/data/abingdon-birds/resident/blackbird_synthesised.csv
new file mode 100644
index 0000000..7403679
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/blackbird_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-birds/resident/blackbird_synthesised.png b/modelling/data/abingdon-birds/resident/blackbird_synthesised.png
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HcmV?d00001

diff --git a/modelling/data/abingdon-birds/resident/blackcap_classification.json b/modelling/data/abingdon-birds/resident/blackcap_classification.json
new file mode 100644
index 0000000..65df2b3
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/blackcap_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Blackcap",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "weak",
+    "detectability_peak_timing": "late_spring_early_summer",
+    "detectability_trough_timing": "autumn",
+    "spring_carryover": "moderate",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "moderate",
+    "pre_summer_retention": "strong",
+    "autumn_component": "weak",
+    "year_end_component": "weak",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "weak_baseline_presence",
+      "late_spring_early_summer_detectability_peak",
+      "autumn_detectability_trough",
+      "moderate_spring_carryover",
+      "moderate_summer_suppression",
+      "moderate_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "weak_autumn_component",
+      "weak_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "low"
+  },
+  "derived_metrics": {
+    "target_peak_month": 5,
+    "target_peak_label": "May",
+    "target_trough_month": 9,
+    "target_trough_label": "September",
+    "target_peak_value": 0.6735024098302164,
+    "target_trough_value": 0.04101596796775944,
+    "target_mean_value": 0.2115108255843349,
+    "target_amplitude": 0.632486441862457,
+    "baseline_to_peak_ratio": 0.06087580296904315,
+    "autumn_to_winter_weight_ratio": 0.04152249134948097,
+    "year_end_to_winter_weight_ratio": 0.25259515570934254,
+    "decay_to_growth_ratio": 1.9722518676627534,
+    "monthly_target": {
+      "January": 0.1441784724783836,
+      "February": 0.1450141574924919,
+      "March": 0.20241505256838796,
+      "April": 0.5598528136061425,
+      "May": 0.6735024098302164,
+      "June": 0.33031632246587955,
+      "July": 0.12554419683731582,
+      "August": 0.04126504489374883,
+      "September": 0.04101596796775944,
+      "October": 0.05395510109241276,
+      "November": 0.06499309309222377,
+      "December": 0.15607727468705623
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.081,
+    "GROWTH_RATE": 1.874,
+    "DECAY_RATE": 3.696,
+    "SUMMER_DECAY_BOOST": 3.926,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.618,
+    "PRE_SUMMER_DECAY_END": 7.12,
+    "PRE_SUMMER_DECAY_SHARPNESS": 9.237,
+    "SPRING_CARRYOVER_WEIGHT": 0.103,
+    "SPRING_CARRYOVER_END": 7.04,
+    "SPRING_CARRYOVER_SHARPNESS": 15.83,
+    "BASELINE": 0.041,
+    "WINTER_WEIGHT": 0.578,
+    "AUTUMN_WEIGHT": 0.024,
+    "WINTER_PEAK": 4.61,
+    "AUTUMN_PEAK": 10.98,
+    "AUTUMN_ONSET": 9.685,
+    "AUTUMN_GATE_SHARPNESS": 7.444,
+    "WINTER_WIDTH": 10.542,
+    "WINTER_RISE_WIDTH": 12.462,
+    "WINTER_FALL_WIDTH": 8.358,
+    "AUTUMN_WIDTH": 7.808,
+    "AUTUMN_RISE_WIDTH": 7.888,
+    "AUTUMN_FALL_WIDTH": 8.566,
+    "SUMMER_DIP": 0.153,
+    "SUMMER_LOW": 2.11,
+    "SUMMER_ONSET": 4.085,
+    "SUMMER_GATE_SHARPNESS": 4.672,
+    "SUMMER_DECAY_ONSET": 7.01,
+    "SUMMER_DECAY_GATE_SHARPNESS": 14.48,
+    "SUMMER_WIDTH": 26.366,
+    "SUMMER_RISE_WIDTH": 43.846,
+    "SUMMER_FALL_WIDTH": 10.5,
+    "SCALE": 1.057,
+    "YEAR_END_WEIGHT": 0.146,
+    "YEAR_END_PEAK": 12.188,
+    "YEAR_END_WIDTH": 78.694,
+    "YEAR_END_RISE_WIDTH": 147.406,
+    "YEAR_END_FALL_WIDTH": 11.265
+  },
+  "fit": {
+    "score": 0.41
+  },
+  "warnings": [],
+  "summary": "Blackcap is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around May and reaches its lowest point around September. The model indicates weak baseline presence, moderate spring carry-over, strong pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/blackcap_consensus.json b/modelling/data/abingdon-birds/resident/blackcap_consensus.json
new file mode 100644
index 0000000..4a97df3
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/blackcap_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.41",
+  "INITIAL_Y": "0.081",
+  "GROWTH_RATE": "1.874",
+  "DECAY_RATE": "3.696",
+  "SUMMER_DECAY_BOOST": "3.926",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.618",
+  "PRE_SUMMER_DECAY_END": "7.12",
+  "PRE_SUMMER_DECAY_SHARPNESS": "9.237",
+  "SPRING_CARRYOVER_WEIGHT": "0.103",
+  "SPRING_CARRYOVER_END": "7.04",
+  "SPRING_CARRYOVER_SHARPNESS": "15.83",
+  "BASELINE": "0.041",
+  "WINTER_WEIGHT": "0.578",
+  "AUTUMN_WEIGHT": "0.024",
+  "WINTER_PEAK": "4.61",
+  "AUTUMN_PEAK": "10.98",
+  "AUTUMN_ONSET": "9.685",
+  "AUTUMN_GATE_SHARPNESS": "7.444",
+  "WINTER_WIDTH": "10.542",
+  "WINTER_RISE_WIDTH": "12.462",
+  "WINTER_FALL_WIDTH": "8.358",
+  "AUTUMN_WIDTH": "7.808",
+  "AUTUMN_RISE_WIDTH": "7.888",
+  "AUTUMN_FALL_WIDTH": "8.566",
+  "SUMMER_DIP": "0.153",
+  "SUMMER_LOW": "2.11",
+  "SUMMER_ONSET": "4.085",
+  "SUMMER_GATE_SHARPNESS": "4.672",
+  "SUMMER_DECAY_ONSET": "7.01",
+  "SUMMER_DECAY_GATE_SHARPNESS": "14.48",
+  "SUMMER_WIDTH": "26.366",
+  "SUMMER_RISE_WIDTH": "43.846",
+  "SUMMER_FALL_WIDTH": "10.5",
+  "SCALE": "1.057",
+  "YEAR_END_WEIGHT": "0.146",
+  "YEAR_END_PEAK": "12.188",
+  "YEAR_END_WIDTH": "78.694",
+  "YEAR_END_RISE_WIDTH": "147.406",
+  "YEAR_END_FALL_WIDTH": "11.265",
+  "SPECIES": "Blackcap"
+}
diff --git a/modelling/data/abingdon-birds/resident/blackcap_observed.csv b/modelling/data/abingdon-birds/resident/blackcap_observed.csv
new file mode 100644
index 0000000..646b47a
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/blackcap_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,2
+3,10
+4,46
+5,42
+6,30
+7,8
+8,0
+9,0
+10,0
+11,0
+12,6
diff --git a/modelling/data/abingdon-birds/resident/blackcap_parameters.csv b/modelling/data/abingdon-birds/resident/blackcap_parameters.csv
new file mode 100644
index 0000000..d1e08a5
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/blackcap_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 11:09:41,blackcap_observed.csv,0.9539263788275951444360485692,0.302,2.499,3.651,5.27,0.538,6.34,5.168,0.139,7.43,10.183,0.009,0.508,0.012,4.93,10.74,11.39,7.085,3.194,3.546,2.842,5.334,8.327,2.34,0.106,1.93,3.88,7.969,7.35,20.788,33.652,55.131,12.172,1.342,0.007,12.243,119.832,235.056,4.609
+2026-05-21 11:09:41,blackcap_observed.csv,1.547156519923895619437419264,0.26,2.89,0.992,2.088,0.6,7.45,4.235,0.204,6.61,26.299,0.004,0.584,0.001,3.68,10.7,11.26,10.222,13.200,17.649,8.752,6.622,5.534,7.711,0.127,2.48,3.55,4.712,7.06,20.881,10.366,3.471,17.262,1.467,0.345,12.138,124.311,236.825,11.797
+2026-05-21 11:09:41,blackcap_observed.csv,3.299905159357477625475504972,0.195,0.733,4.274,0.731,0.93,7.28,8.351,0.005,7.27,24.351,0.033,0.035,0.008,4.51,1.03,10.47,8.962,17.254,16.392,18.116,4.408,7.31,1.505,0.126,2.04,3.81,6.601,6.96,14.658,15.001,28.592,1.41,1.062,0.098,12.008,84.311,154.181,14.441
+2026-05-21 11:09:41,blackcap_observed.csv,0.4487711481189066916820324806,0.064,0.417,1.833,6.863,0.681,7.08,5.612,0.116,7.5,7.682,0.049,0.221,0.017,3.31,11.59,10.67,2.986,3.588,1.898,5.278,11.697,11.964,11.43,0.043,1.02,3.53,4.64,6.9,19.444,15.716,20.837,10.594,0.907,0.281,12.181,78.813,153.574,4.052
+2026-05-21 11:09:42,blackcap_observed.csv,2.158001934433632957200462989,0.322,3.753,1.943,0.063,0.184,6.56,8.184,0.074,7.04,23.806,0.079,0.628,0.045,3.43,1.4,8.67,5.485,4.586,3.228,5.945,7.740,4.529,10.95,0.024,1.15,4.58,3.436,7.26,6.899,17.038,27.733,6.344,1.521,0.225,12.174,86.942,163.573,10.311
+2026-05-21 11:09:42,blackcap_observed.csv,0.4861678420729062285868465744,0.048,0.534,2.929,1.533,0.756,6.41,9.655,0.152,6.95,6.121,0.009,0.356,0.009,5.11,11.92,10.78,2.299,17.883,18.591,17.175,5.081,7.348,2.814,0.145,11.87,4.17,6.484,6.78,23.363,14.909,18.538,11.28,1.287,0.177,12.192,73.478,140.096,6.859
+2026-05-21 11:09:42,blackcap_observed.csv,0.6948155917037789602379009452,0.057,0.857,2.631,0.791,0.028,6.39,11.009,0.056,6.85,24.402,0.066,0.164,0.022,3.67,11.58,10.47,2.689,13.118,13.216,13.02,7.466,13.709,1.223,0.232,11.94,3.82,5.406,7.33,17.577,26.144,43.47,8.818,1.288,0.234,12.226,89.917,168.926,10.908
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diff --git a/modelling/data/abingdon-birds/resident/blackcap_simulated.csv b/modelling/data/abingdon-birds/resident/blackcap_simulated.csv
new file mode 100644
index 0000000..7191423
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/blackcap_simulated.csv
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diff --git a/modelling/data/abingdon-birds/resident/blackcap_synthesised.csv b/modelling/data/abingdon-birds/resident/blackcap_synthesised.csv
new file mode 100644
index 0000000..ca59055
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/blackcap_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
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+2,2,0.1437179,10.14328793120059
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+9,0,0.04186398,2.954666072117828
+10,0,0.052853819999999996,3.7303043985742086
+11,0,0.06338836,4.473808669390508
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diff --git a/modelling/data/abingdon-birds/resident/blackcap_synthesised.png b/modelling/data/abingdon-birds/resident/blackcap_synthesised.png
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diff --git a/modelling/data/abingdon-birds/resident/blue_tit_classification.json b/modelling/data/abingdon-birds/resident/blue_tit_classification.json
new file mode 100644
index 0000000..6f5f778
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/blue_tit_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Blue Tit",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "strong",
+    "detectability_peak_timing": "spring",
+    "detectability_trough_timing": "summer",
+    "spring_carryover": "weak",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "moderate",
+    "pre_summer_retention": "strong",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "strong_baseline_presence",
+      "spring_detectability_peak",
+      "summer_detectability_trough",
+      "weak_spring_carryover",
+      "moderate_summer_suppression",
+      "moderate_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "medium"
+  },
+  "derived_metrics": {
+    "target_peak_month": 3,
+    "target_peak_label": "March",
+    "target_trough_month": 8,
+    "target_trough_label": "August",
+    "target_peak_value": 0.7836658138578775,
+    "target_trough_value": 0.19819306625775013,
+    "target_mean_value": 0.4217387502672212,
+    "target_amplitude": 0.5854727476001274,
+    "baseline_to_peak_ratio": 0.40450915989234393,
+    "autumn_to_winter_weight_ratio": 0.0477326968973747,
+    "year_end_to_winter_weight_ratio": 0.477326968973747,
+    "decay_to_growth_ratio": 1.723291626564004,
+    "monthly_target": {
+      "January": 0.42456968254540567,
+      "February": 0.6510782130778153,
+      "March": 0.7836658138578775,
+      "April": 0.5229357236389086,
+      "May": 0.38545695529963925,
+      "June": 0.3746149212400747,
+      "July": 0.2834618134966642,
+      "August": 0.19819306625775013,
+      "September": 0.2894777224917703,
+      "October": 0.3178007841042193,
+      "November": 0.3363504871313674,
+      "December": 0.49325982006516156
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.888,
+    "GROWTH_RATE": 2.078,
+    "DECAY_RATE": 3.581,
+    "SUMMER_DECAY_BOOST": 3.85,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.631,
+    "PRE_SUMMER_DECAY_END": 6.755,
+    "PRE_SUMMER_DECAY_SHARPNESS": 10.232,
+    "SPRING_CARRYOVER_WEIGHT": 0.058,
+    "SPRING_CARRYOVER_END": 7.17,
+    "SPRING_CARRYOVER_SHARPNESS": 17.61,
+    "BASELINE": 0.317,
+    "WINTER_WEIGHT": 0.419,
+    "AUTUMN_WEIGHT": 0.02,
+    "WINTER_PEAK": 2.815,
+    "AUTUMN_PEAK": 10.98,
+    "AUTUMN_ONSET": 10.305,
+    "AUTUMN_GATE_SHARPNESS": 4.894,
+    "WINTER_WIDTH": 10.066,
+    "WINTER_RISE_WIDTH": 9.094,
+    "WINTER_FALL_WIDTH": 10.642,
+    "AUTUMN_WIDTH": 8.173,
+    "AUTUMN_RISE_WIDTH": 8.556,
+    "AUTUMN_FALL_WIDTH": 7.972,
+    "SUMMER_DIP": 0.147,
+    "SUMMER_LOW": 7.435,
+    "SUMMER_ONSET": 5.6,
+    "SUMMER_GATE_SHARPNESS": 4.707,
+    "SUMMER_DECAY_ONSET": 7.175,
+    "SUMMER_DECAY_GATE_SHARPNESS": 15.184,
+    "SUMMER_WIDTH": 26.046,
+    "SUMMER_RISE_WIDTH": 38.7,
+    "SUMMER_FALL_WIDTH": 9.696,
+    "SCALE": 1.23,
+    "YEAR_END_WEIGHT": 0.2,
+    "YEAR_END_PEAK": 12.136,
+    "YEAR_END_WIDTH": 83.998,
+    "YEAR_END_RISE_WIDTH": 160.188,
+    "YEAR_END_FALL_WIDTH": 10.892
+  },
+  "fit": {
+    "score": 0.258
+  },
+  "warnings": [],
+  "summary": "Blue Tit is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around March and reaches its lowest point around August. The model indicates strong baseline presence, weak spring carry-over, strong pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/blue_tit_consensus.json b/modelling/data/abingdon-birds/resident/blue_tit_consensus.json
new file mode 100644
index 0000000..19408b7
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/blue_tit_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.258",
+  "INITIAL_Y": "0.888",
+  "GROWTH_RATE": "2.078",
+  "DECAY_RATE": "3.581",
+  "SUMMER_DECAY_BOOST": "3.85",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.631",
+  "PRE_SUMMER_DECAY_END": "6.755",
+  "PRE_SUMMER_DECAY_SHARPNESS": "10.232",
+  "SPRING_CARRYOVER_WEIGHT": "0.058",
+  "SPRING_CARRYOVER_END": "7.17",
+  "SPRING_CARRYOVER_SHARPNESS": "17.61",
+  "BASELINE": "0.317",
+  "WINTER_WEIGHT": "0.419",
+  "AUTUMN_WEIGHT": "0.02",
+  "WINTER_PEAK": "2.815",
+  "AUTUMN_PEAK": "10.98",
+  "AUTUMN_ONSET": "10.305",
+  "AUTUMN_GATE_SHARPNESS": "4.894",
+  "WINTER_WIDTH": "10.066",
+  "WINTER_RISE_WIDTH": "9.094",
+  "WINTER_FALL_WIDTH": "10.642",
+  "AUTUMN_WIDTH": "8.173",
+  "AUTUMN_RISE_WIDTH": "8.556",
+  "AUTUMN_FALL_WIDTH": "7.972",
+  "SUMMER_DIP": "0.147",
+  "SUMMER_LOW": "7.435",
+  "SUMMER_ONSET": "5.6",
+  "SUMMER_GATE_SHARPNESS": "4.707",
+  "SUMMER_DECAY_ONSET": "7.175",
+  "SUMMER_DECAY_GATE_SHARPNESS": "15.184",
+  "SUMMER_WIDTH": "26.046",
+  "SUMMER_RISE_WIDTH": "38.7",
+  "SUMMER_FALL_WIDTH": "9.696",
+  "SCALE": "1.23",
+  "YEAR_END_WEIGHT": "0.2",
+  "YEAR_END_PEAK": "12.136",
+  "YEAR_END_WIDTH": "83.998",
+  "YEAR_END_RISE_WIDTH": "160.188",
+  "YEAR_END_FALL_WIDTH": "10.892",
+  "SPECIES": "Blue Tit"
+}
diff --git a/modelling/data/abingdon-birds/resident/blue_tit_observed.csv b/modelling/data/abingdon-birds/resident/blue_tit_observed.csv
new file mode 100644
index 0000000..1e07acf
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/blue_tit_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,74
+2,78
+3,83
+4,75
+5,55
+6,29
+7,18
+8,27
+9,28
+10,29
+11,37
+12,58
diff --git a/modelling/data/abingdon-birds/resident/blue_tit_parameters.csv b/modelling/data/abingdon-birds/resident/blue_tit_parameters.csv
new file mode 100644
index 0000000..50a1a39
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/blue_tit_parameters.csv
@@ -0,0 +1,201 @@
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diff --git a/modelling/data/abingdon-birds/resident/blue_tit_simulated.csv b/modelling/data/abingdon-birds/resident/blue_tit_simulated.csv
new file mode 100644
index 0000000..d65c191
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/blue_tit_simulated.csv
@@ -0,0 +1,123 @@
+method,step,t,y,step_size,difference,tolerance,y_normalised
+RungeKutta4,0,0.0,0.888,0.1,0,0.01,1
+RungeKutta4,1,0.1,0.831448,0.1,0,0.01,0.920445
+RungeKutta4,2,0.2,0.783681,0.1,0,0.01,0.853249
+RungeKutta4,3,0.3,0.743908,0.1,0,0.01,0.797298
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diff --git a/modelling/data/abingdon-birds/resident/blue_tit_synthesised.csv b/modelling/data/abingdon-birds/resident/blue_tit_synthesised.csv
new file mode 100644
index 0000000..2cdc70c
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/blue_tit_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-birds/resident/blue_tit_synthesised.png b/modelling/data/abingdon-birds/resident/blue_tit_synthesised.png
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diff --git a/modelling/data/abingdon-birds/resident/buzzard_classification.json b/modelling/data/abingdon-birds/resident/buzzard_classification.json
new file mode 100644
index 0000000..0bb0a4c
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/buzzard_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Buzzard",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "strong",
+    "detectability_peak_timing": "spring",
+    "detectability_trough_timing": "summer",
+    "spring_carryover": "weak",
+    "summer_suppression": "strong",
+    "summer_decay_acceleration": "moderate",
+    "pre_summer_retention": "strong",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "strong_baseline_presence",
+      "spring_detectability_peak",
+      "summer_detectability_trough",
+      "weak_spring_carryover",
+      "strong_summer_suppression",
+      "moderate_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "medium"
+  },
+  "derived_metrics": {
+    "target_peak_month": 3,
+    "target_peak_label": "March",
+    "target_trough_month": 8,
+    "target_trough_label": "August",
+    "target_peak_value": 0.993754602724945,
+    "target_trough_value": 0.34388897996704204,
+    "target_mean_value": 0.6013872841601938,
+    "target_amplitude": 0.6498656227579029,
+    "baseline_to_peak_ratio": 0.5011297544025949,
+    "autumn_to_winter_weight_ratio": 0.06473214285714286,
+    "year_end_to_winter_weight_ratio": 0.40625,
+    "decay_to_growth_ratio": 1.4757990867579909,
+    "monthly_target": {
+      "January": 0.5666157502465992,
+      "February": 0.7433717729933225,
+      "March": 0.993754602724945,
+      "April": 0.8256562983904419,
+      "May": 0.5992217417652741,
+      "June": 0.5500963869237387,
+      "July": 0.5079521536686785,
+      "August": 0.34388897996704204,
+      "September": 0.44315404438611483,
+      "October": 0.4960167813182803,
+      "November": 0.5144937447764321,
+      "December": 0.6324251527614568
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.556,
+    "GROWTH_RATE": 2.19,
+    "DECAY_RATE": 3.232,
+    "SUMMER_DECAY_BOOST": 3.403,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.514,
+    "PRE_SUMMER_DECAY_END": 7.14,
+    "PRE_SUMMER_DECAY_SHARPNESS": 7.904,
+    "SPRING_CARRYOVER_WEIGHT": 0.05,
+    "SPRING_CARRYOVER_END": 7.065,
+    "SPRING_CARRYOVER_SHARPNESS": 17.292,
+    "BASELINE": 0.498,
+    "WINTER_WEIGHT": 0.448,
+    "AUTUMN_WEIGHT": 0.029,
+    "WINTER_PEAK": 3.085,
+    "AUTUMN_PEAK": 9.935,
+    "AUTUMN_ONSET": 10.305,
+    "AUTUMN_GATE_SHARPNESS": 7.846,
+    "WINTER_WIDTH": 9.656,
+    "WINTER_RISE_WIDTH": 10.146,
+    "WINTER_FALL_WIDTH": 8.257,
+    "AUTUMN_WIDTH": 7.064,
+    "AUTUMN_RISE_WIDTH": 8.126,
+    "AUTUMN_FALL_WIDTH": 7.072,
+    "SUMMER_DIP": 0.162,
+    "SUMMER_LOW": 7.725,
+    "SUMMER_ONSET": 6.3,
+    "SUMMER_GATE_SHARPNESS": 4.543,
+    "SUMMER_DECAY_ONSET": 6.94,
+    "SUMMER_DECAY_GATE_SHARPNESS": 15.391,
+    "SUMMER_WIDTH": 31.803,
+    "SUMMER_RISE_WIDTH": 47.513,
+    "SUMMER_FALL_WIDTH": 9.538,
+    "SCALE": 1.119,
+    "YEAR_END_WEIGHT": 0.182,
+    "YEAR_END_PEAK": 12.174,
+    "YEAR_END_WIDTH": 86.39,
+    "YEAR_END_RISE_WIDTH": 158.823,
+    "YEAR_END_FALL_WIDTH": 8.654
+  },
+  "fit": {
+    "score": 0.24
+  },
+  "warnings": [],
+  "summary": "Buzzard is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around March and reaches its lowest point around August. The model indicates strong baseline presence, weak spring carry-over, strong pre-summer retention, strong summer suppression, and moderate summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/buzzard_consensus.json b/modelling/data/abingdon-birds/resident/buzzard_consensus.json
new file mode 100644
index 0000000..f51b217
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/buzzard_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.24",
+  "INITIAL_Y": "0.556",
+  "GROWTH_RATE": "2.19",
+  "DECAY_RATE": "3.232",
+  "SUMMER_DECAY_BOOST": "3.403",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.514",
+  "PRE_SUMMER_DECAY_END": "7.14",
+  "PRE_SUMMER_DECAY_SHARPNESS": "7.904",
+  "SPRING_CARRYOVER_WEIGHT": "0.05",
+  "SPRING_CARRYOVER_END": "7.065",
+  "SPRING_CARRYOVER_SHARPNESS": "17.292",
+  "BASELINE": "0.498",
+  "WINTER_WEIGHT": "0.448",
+  "AUTUMN_WEIGHT": "0.029",
+  "WINTER_PEAK": "3.085",
+  "AUTUMN_PEAK": "9.935",
+  "AUTUMN_ONSET": "10.305",
+  "AUTUMN_GATE_SHARPNESS": "7.846",
+  "WINTER_WIDTH": "9.656",
+  "WINTER_RISE_WIDTH": "10.146",
+  "WINTER_FALL_WIDTH": "8.257",
+  "AUTUMN_WIDTH": "7.064",
+  "AUTUMN_RISE_WIDTH": "8.126",
+  "AUTUMN_FALL_WIDTH": "7.072",
+  "SUMMER_DIP": "0.162",
+  "SUMMER_LOW": "7.725",
+  "SUMMER_ONSET": "6.3",
+  "SUMMER_GATE_SHARPNESS": "4.543",
+  "SUMMER_DECAY_ONSET": "6.94",
+  "SUMMER_DECAY_GATE_SHARPNESS": "15.391",
+  "SUMMER_WIDTH": "31.803",
+  "SUMMER_RISE_WIDTH": "47.513",
+  "SUMMER_FALL_WIDTH": "9.538",
+  "SCALE": "1.119",
+  "YEAR_END_WEIGHT": "0.182",
+  "YEAR_END_PEAK": "12.174",
+  "YEAR_END_WIDTH": "86.39",
+  "YEAR_END_RISE_WIDTH": "158.823",
+  "YEAR_END_FALL_WIDTH": "8.654",
+  "SPECIES": "Buzzard"
+}
diff --git a/modelling/data/abingdon-birds/resident/buzzard_observed.csv b/modelling/data/abingdon-birds/resident/buzzard_observed.csv
new file mode 100644
index 0000000..4f8ed04
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/buzzard_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,22
+2,28
+3,40
+4,32
+5,21
+6,19
+7,21
+8,14
+9,16
+10,18
+11,15
+12,14
diff --git a/modelling/data/abingdon-birds/resident/buzzard_parameters.csv b/modelling/data/abingdon-birds/resident/buzzard_parameters.csv
new file mode 100644
index 0000000..7bb2dc7
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/buzzard_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 09:44:25,buzzard_observed.csv,0.4336891702551373332556829167,0.601,2.742,2.641,4.363,0.341,7.64,13.302,0.081,6.96,25.927,0.307,0.205,0.02,2.37,11.17,10.73,11.369,4.587,5.609,3.565,10.887,11.825,9.949,0.074,7.34,5.87,2.478,6.73,8.471,3.804,1.389,6.219,0.905,0.321,12.158,44.909,83.463,6.355
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diff --git a/modelling/data/abingdon-birds/resident/buzzard_simulated.csv b/modelling/data/abingdon-birds/resident/buzzard_simulated.csv
new file mode 100644
index 0000000..e05cbbe
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/buzzard_simulated.csv
@@ -0,0 +1,123 @@
+method,step,t,y,step_size,difference,tolerance,y_normalised
+RungeKutta4,0,0.0,0.556,0.1,0,0.01,0.348618
+RungeKutta4,1,0.1,0.558743,0.1,0,0.01,0.353107
+RungeKutta4,2,0.2,0.562464,0.1,0,0.01,0.359196
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diff --git a/modelling/data/abingdon-birds/resident/buzzard_synthesised.csv b/modelling/data/abingdon-birds/resident/buzzard_synthesised.csv
new file mode 100644
index 0000000..27b91e2
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/buzzard_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
+1,22,0.584603,21.316893913021786
+2,28,0.7636337,27.845047957859105
+3,40,0.9379533,34.201417015425335
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+7,21,0.4371327,15.939554521295271
+8,14,0.3610933,13.166862928864461
+9,16,0.43832000000000004,15.982848086574498
+10,18,0.49402090000000004,18.013919046114278
+11,15,0.512221,18.677565317013315
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diff --git a/modelling/data/abingdon-birds/resident/buzzard_synthesised.png b/modelling/data/abingdon-birds/resident/buzzard_synthesised.png
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diff --git a/modelling/data/abingdon-birds/resident/canada_goose_classification.json b/modelling/data/abingdon-birds/resident/canada_goose_classification.json
new file mode 100644
index 0000000..c7878c9
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/canada_goose_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Canada Goose",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "weak",
+    "detectability_peak_timing": "spring",
+    "detectability_trough_timing": "late_autumn",
+    "spring_carryover": "moderate",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "strong",
+    "pre_summer_retention": "moderate",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "weak_baseline_presence",
+      "spring_detectability_peak",
+      "late_autumn_detectability_trough",
+      "moderate_spring_carryover",
+      "moderate_summer_suppression",
+      "strong_summer_decay_acceleration",
+      "moderate_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "low"
+  },
+  "derived_metrics": {
+    "target_peak_month": 4,
+    "target_peak_label": "April",
+    "target_trough_month": 11,
+    "target_trough_label": "November",
+    "target_peak_value": 0.6199725038934809,
+    "target_trough_value": 0.0,
+    "target_mean_value": 0.195070674578276,
+    "target_amplitude": 0.6199725038934809,
+    "baseline_to_peak_ratio": 0.05484114180302685,
+    "autumn_to_winter_weight_ratio": 0.05928853754940711,
+    "year_end_to_winter_weight_ratio": 0.3932806324110672,
+    "decay_to_growth_ratio": 1.856164383561644,
+    "monthly_target": {
+      "January": 0.15548881110238016,
+      "February": 0.2228089711288166,
+      "March": 0.5230904166336656,
+      "April": 0.6199725038934809,
+      "May": 0.2828531042939495,
+      "June": 0.15930968263444367,
+      "July": 0.14569420678251,
+      "August": 0.03400020352216318,
+      "September": 0.03399752272842824,
+      "October": 0.017383941329353787,
+      "November": 0.0,
+      "December": 0.14624873089012044
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.166,
+    "GROWTH_RATE": 2.044,
+    "DECAY_RATE": 3.794,
+    "SUMMER_DECAY_BOOST": 4.59,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.364,
+    "PRE_SUMMER_DECAY_END": 6.95,
+    "PRE_SUMMER_DECAY_SHARPNESS": 9.923,
+    "SPRING_CARRYOVER_WEIGHT": 0.119,
+    "SPRING_CARRYOVER_END": 7.17,
+    "SPRING_CARRYOVER_SHARPNESS": 16.016,
+    "BASELINE": 0.034,
+    "WINTER_WEIGHT": 0.506,
+    "AUTUMN_WEIGHT": 0.03,
+    "WINTER_PEAK": 3.675,
+    "AUTUMN_PEAK": 10.915,
+    "AUTUMN_ONSET": 11.84,
+    "AUTUMN_GATE_SHARPNESS": 7.548,
+    "WINTER_WIDTH": 10.312,
+    "WINTER_RISE_WIDTH": 9.964,
+    "WINTER_FALL_WIDTH": 11.074,
+    "AUTUMN_WIDTH": 6.456,
+    "AUTUMN_RISE_WIDTH": 7.496,
+    "AUTUMN_FALL_WIDTH": 5.68,
+    "SUMMER_DIP": 0.132,
+    "SUMMER_LOW": 10.865,
+    "SUMMER_ONSET": 9.11,
+    "SUMMER_GATE_SHARPNESS": 4.813,
+    "SUMMER_DECAY_ONSET": 7.12,
+    "SUMMER_DECAY_GATE_SHARPNESS": 12.831,
+    "SUMMER_WIDTH": 24.517,
+    "SUMMER_RISE_WIDTH": 39.8,
+    "SUMMER_FALL_WIDTH": 9.059,
+    "SCALE": 1.036,
+    "YEAR_END_WEIGHT": 0.199,
+    "YEAR_END_PEAK": 12.15,
+    "YEAR_END_WIDTH": 82.822,
+    "YEAR_END_RISE_WIDTH": 156.426,
+    "YEAR_END_FALL_WIDTH": 10.644
+  },
+  "fit": {
+    "score": 0.365
+  },
+  "warnings": [],
+  "summary": "Canada Goose is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around April and reaches its lowest point around November. The model indicates weak baseline presence, moderate spring carry-over, moderate pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/canada_goose_consensus.json b/modelling/data/abingdon-birds/resident/canada_goose_consensus.json
new file mode 100644
index 0000000..4ace265
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/canada_goose_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.365",
+  "INITIAL_Y": "0.166",
+  "GROWTH_RATE": "2.044",
+  "DECAY_RATE": "3.794",
+  "SUMMER_DECAY_BOOST": "4.59",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.364",
+  "PRE_SUMMER_DECAY_END": "6.95",
+  "PRE_SUMMER_DECAY_SHARPNESS": "9.923",
+  "SPRING_CARRYOVER_WEIGHT": "0.119",
+  "SPRING_CARRYOVER_END": "7.17",
+  "SPRING_CARRYOVER_SHARPNESS": "16.016",
+  "BASELINE": "0.034",
+  "WINTER_WEIGHT": "0.506",
+  "AUTUMN_WEIGHT": "0.03",
+  "WINTER_PEAK": "3.675",
+  "AUTUMN_PEAK": "10.915",
+  "AUTUMN_ONSET": "11.84",
+  "AUTUMN_GATE_SHARPNESS": "7.548",
+  "WINTER_WIDTH": "10.312",
+  "WINTER_RISE_WIDTH": "9.964",
+  "WINTER_FALL_WIDTH": "11.074",
+  "AUTUMN_WIDTH": "6.456",
+  "AUTUMN_RISE_WIDTH": "7.496",
+  "AUTUMN_FALL_WIDTH": "5.68",
+  "SUMMER_DIP": "0.132",
+  "SUMMER_LOW": "10.865",
+  "SUMMER_ONSET": "9.11",
+  "SUMMER_GATE_SHARPNESS": "4.813",
+  "SUMMER_DECAY_ONSET": "7.12",
+  "SUMMER_DECAY_GATE_SHARPNESS": "12.831",
+  "SUMMER_WIDTH": "24.517",
+  "SUMMER_RISE_WIDTH": "39.8",
+  "SUMMER_FALL_WIDTH": "9.059",
+  "SCALE": "1.036",
+  "YEAR_END_WEIGHT": "0.199",
+  "YEAR_END_PEAK": "12.15",
+  "YEAR_END_WIDTH": "82.822",
+  "YEAR_END_RISE_WIDTH": "156.426",
+  "YEAR_END_FALL_WIDTH": "10.644",
+  "SPECIES": "Canada Goose"
+}
diff --git a/modelling/data/abingdon-birds/resident/canada_goose_observed.csv b/modelling/data/abingdon-birds/resident/canada_goose_observed.csv
new file mode 100644
index 0000000..f710f93
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/canada_goose_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,6
+2,24
+3,40
+4,36
+5,39
+6,20
+7,6
+8,6
+9,3
+10,4
+11,1
+12,8
diff --git a/modelling/data/abingdon-birds/resident/canada_goose_parameters.csv b/modelling/data/abingdon-birds/resident/canada_goose_parameters.csv
new file mode 100644
index 0000000..07b6251
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/canada_goose_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
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diff --git a/modelling/data/abingdon-birds/resident/canada_goose_synthesised.csv b/modelling/data/abingdon-birds/resident/canada_goose_synthesised.csv
new file mode 100644
index 0000000..f0d7415
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/canada_goose_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
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+7,6,0.09165145999999999,7.462229414636257
+8,6,0.03579609,2.914504970536932
+9,3,0.033271629999999996,2.708964331379927
+10,4,0.0079284813,0.6455341395571168
+11,1,0.0010707896618,0.08718331504127015
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diff --git a/modelling/data/abingdon-birds/resident/canada_goose_synthesised.png b/modelling/data/abingdon-birds/resident/canada_goose_synthesised.png
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diff --git a/modelling/data/abingdon-birds/resident/chaffinch_classification.json b/modelling/data/abingdon-birds/resident/chaffinch_classification.json
new file mode 100644
index 0000000..bb6bbf6
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/chaffinch_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Chaffinch",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "weak",
+    "detectability_peak_timing": "late_spring_early_summer",
+    "detectability_trough_timing": "summer",
+    "spring_carryover": "strong",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "strong",
+    "pre_summer_retention": "strong",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "weak_baseline_presence",
+      "late_spring_early_summer_detectability_peak",
+      "summer_detectability_trough",
+      "strong_spring_carryover",
+      "moderate_summer_suppression",
+      "strong_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "medium"
+  },
+  "derived_metrics": {
+    "target_peak_month": 6,
+    "target_peak_label": "June",
+    "target_trough_month": 8,
+    "target_trough_label": "August",
+    "target_peak_value": 0.8187244086048439,
+    "target_trough_value": 0.0,
+    "target_mean_value": 0.30583473679231316,
+    "target_amplitude": 0.8187244086048439,
+    "baseline_to_peak_ratio": 0.05374213781531037,
+    "autumn_to_winter_weight_ratio": 0.055865921787709494,
+    "year_end_to_winter_weight_ratio": 0.39106145251396646,
+    "decay_to_growth_ratio": 1.540796963946869,
+    "monthly_target": {
+      "January": 0.31504887789580904,
+      "February": 0.315149444042533,
+      "March": 0.3252178919693677,
+      "April": 0.4347975406485112,
+      "May": 0.72931403607943,
+      "June": 0.8187244086048439,
+      "July": 0.429837293752252,
+      "August": 0.0,
+      "September": 0.0,
+      "October": 0.04432614968397435,
+      "November": 0.06312213431444091,
+      "December": 0.19447906451659588
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.284,
+    "GROWTH_RATE": 2.108,
+    "DECAY_RATE": 3.248,
+    "SUMMER_DECAY_BOOST": 4.87,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.456,
+    "PRE_SUMMER_DECAY_END": 7.0,
+    "PRE_SUMMER_DECAY_SHARPNESS": 10.154,
+    "SPRING_CARRYOVER_WEIGHT": 0.271,
+    "SPRING_CARRYOVER_END": 7.235,
+    "SPRING_CARRYOVER_SHARPNESS": 14.812,
+    "BASELINE": 0.044,
+    "WINTER_WEIGHT": 0.537,
+    "AUTUMN_WEIGHT": 0.03,
+    "WINTER_PEAK": 5.73,
+    "AUTUMN_PEAK": 10.18,
+    "AUTUMN_ONSET": 10.01,
+    "AUTUMN_GATE_SHARPNESS": 8.054,
+    "WINTER_WIDTH": 9.954,
+    "WINTER_RISE_WIDTH": 7.058,
+    "WINTER_FALL_WIDTH": 12.792,
+    "AUTUMN_WIDTH": 7.324,
+    "AUTUMN_RISE_WIDTH": 6.442,
+    "AUTUMN_FALL_WIDTH": 8.836,
+    "SUMMER_DIP": 0.101,
+    "SUMMER_LOW": 8.06,
+    "SUMMER_ONSET": 5.965,
+    "SUMMER_GATE_SHARPNESS": 4.644,
+    "SUMMER_DECAY_ONSET": 7.025,
+    "SUMMER_DECAY_GATE_SHARPNESS": 14.736,
+    "SUMMER_WIDTH": 25.73,
+    "SUMMER_RISE_WIDTH": 40.722,
+    "SUMMER_FALL_WIDTH": 7.358,
+    "SCALE": 1.03,
+    "YEAR_END_WEIGHT": 0.21,
+    "YEAR_END_PEAK": 12.172,
+    "YEAR_END_WIDTH": 93.064,
+    "YEAR_END_RISE_WIDTH": 176.662,
+    "YEAR_END_FALL_WIDTH": 10.298
+  },
+  "fit": {
+    "score": 0.237
+  },
+  "warnings": [],
+  "summary": "Chaffinch is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around June and reaches its lowest point around August. The model indicates weak baseline presence, strong spring carry-over, strong pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/chaffinch_consensus.json b/modelling/data/abingdon-birds/resident/chaffinch_consensus.json
new file mode 100644
index 0000000..8eaf351
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/chaffinch_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.237",
+  "INITIAL_Y": "0.284",
+  "GROWTH_RATE": "2.108",
+  "DECAY_RATE": "3.248",
+  "SUMMER_DECAY_BOOST": "4.87",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.456",
+  "PRE_SUMMER_DECAY_END": "7",
+  "PRE_SUMMER_DECAY_SHARPNESS": "10.154",
+  "SPRING_CARRYOVER_WEIGHT": "0.271",
+  "SPRING_CARRYOVER_END": "7.235",
+  "SPRING_CARRYOVER_SHARPNESS": "14.812",
+  "BASELINE": "0.044",
+  "WINTER_WEIGHT": "0.537",
+  "AUTUMN_WEIGHT": "0.03",
+  "WINTER_PEAK": "5.73",
+  "AUTUMN_PEAK": "10.18",
+  "AUTUMN_ONSET": "10.01",
+  "AUTUMN_GATE_SHARPNESS": "8.054",
+  "WINTER_WIDTH": "9.954",
+  "WINTER_RISE_WIDTH": "7.058",
+  "WINTER_FALL_WIDTH": "12.792",
+  "AUTUMN_WIDTH": "7.324",
+  "AUTUMN_RISE_WIDTH": "6.442",
+  "AUTUMN_FALL_WIDTH": "8.836",
+  "SUMMER_DIP": "0.101",
+  "SUMMER_LOW": "8.06",
+  "SUMMER_ONSET": "5.965",
+  "SUMMER_GATE_SHARPNESS": "4.644",
+  "SUMMER_DECAY_ONSET": "7.025",
+  "SUMMER_DECAY_GATE_SHARPNESS": "14.736",
+  "SUMMER_WIDTH": "25.73",
+  "SUMMER_RISE_WIDTH": "40.722",
+  "SUMMER_FALL_WIDTH": "7.358",
+  "SCALE": "1.03",
+  "YEAR_END_WEIGHT": "0.21",
+  "YEAR_END_PEAK": "12.172",
+  "YEAR_END_WIDTH": "93.064",
+  "YEAR_END_RISE_WIDTH": "176.662",
+  "YEAR_END_FALL_WIDTH": "10.298",
+  "SPECIES": "Chaffinch"
+}
diff --git a/modelling/data/abingdon-birds/resident/chaffinch_observed.csv b/modelling/data/abingdon-birds/resident/chaffinch_observed.csv
new file mode 100644
index 0000000..f603f85
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/chaffinch_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,25
+2,43
+3,46
+4,59
+5,65
+6,74
+7,12
+8,1
+9,4
+10,13
+11,17
+12,12
diff --git a/modelling/data/abingdon-birds/resident/chaffinch_parameters.csv b/modelling/data/abingdon-birds/resident/chaffinch_parameters.csv
new file mode 100644
index 0000000..2afbd47
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/chaffinch_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 09:46:31,chaffinch_observed.csv,4.050542518734072223112430133,0.651,3.624,0.432,4.257,0.335,6.79,8.991,0.13,6.81,16.68,0.033,0.281,0.015,7.27,11.3,10.44,5.499,8.578,8.165,8.992,7.892,12.75,3.034,0.027,8.36,5.65,6.835,6.86,17.592,34.593,60.14,9.046,1.442,0.323,12.053,97.772,187.205,8.338
+2026-05-21 09:46:32,chaffinch_observed.csv,0.2469008718464824957638574652,0.436,1.955,4.07,7.744,0.022,7.59,15.414,0.436,6.96,19.824,0.058,0.316,0.044,6.35,9.84,9.45,4.544,15.168,11.911,18.424,6.318,7.073,5.564,0.065,6.54,5.21,1.977,6.95,14.416,10.408,15.038,5.777,0.984,0.184,12.033,69.040,124.073,14.007
+2026-05-21 09:46:32,chaffinch_observed.csv,2.373586889956149847923247124,0.301,1.398,4.73,3.32,0.828,6.83,11.006,0.138,6.56,15.684,0.071,0.15,0.008,7.47,10.08,11.16,7.97,8.578,14.856,2.299,4.866,0.424,9.309,0.182,7.61,7.07,1.254,7.23,23.657,36.365,67.518,5.212,1.35,0.034,12.282,67.144,127.727,6.561
+2026-05-21 09:46:32,chaffinch_observed.csv,20.55556062460799823123859213,0.642,0.459,1.586,2.69,0.943,7.62,8.779,0.291,7.53,26.537,0.032,0.603,0.024,5.99,10.55,9.92,3.306,4.434,5.475,3.392,12.906,12.345,13.467,0.188,6.53,5.3,2.85,7.49,20.017,41.496,73.733,9.259,1.611,0.293,12.293,83.583,154.801,12.365
+2026-05-21 09:46:32,chaffinch_observed.csv,1.388580821751718934417790328,0.201,0.617,0.942,2.591,0.764,6.88,5.023,0.047,6.85,22.855,0.028,0.239,0.035,5.77,10.43,9.26,10.205,4.903,6.661,3.145,2.386,3.915,0.856,0.103,8.87,5.59,3.551,7.03,10.184,17.792,17.717,17.867,1.066,0.268,12.188,122.790,238.083,7.498
+2026-05-21 09:46:33,chaffinch_observed.csv,0.8371263507575197934705762361,0.157,1.97,2.311,7.917,0.213,6.74,14.158,0.444,6.99,12.412,0.039,0.102,0.032,5.01,10.68,11.35,9.849,12.522,19.879,5.164,4.478,4.377,4.578,0.101,6.59,6.03,6.397,7.55,22.16,30.118,52.409,7.826,1.366,0.28,12.045,89.960,169.799,10.122
+2026-05-21 09:46:33,chaffinch_observed.csv,1.195929265494943956608602750,0.494,0.628,4.588,7.062,0.344,6.97,13.155,0.325,6.53,15.345,0.09,0.615,0.024,6.61,11.82,10.87,4.816,10.422,14.389,6.454,7.250,4.931,9.568,0.211,8.53,5.31,7.89,7.41,14.819,21.207,38.062,4.352,1.244,0.312,12.265,109.817,213.187,6.447
+2026-05-21 09:46:33,chaffinch_observed.csv,6.172210394105329990850237719,0.418,0.369,0.431,2.157,0.261,7.73,10.405,0.075,6.89,9.65,0.067,0.579,0.045,6.2,10.34,9.81,9.544,14.830,11.291,18.369,6.726,10.116,3.337,0.069,8.48,5.28,5.292,7.52,10.717,17.728,32.019,3.436,1.786,0.027,12.199,79.012,147.017,11.008
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+2026-05-21 09:46:34,chaffinch_observed.csv,20.69061467866444357143895930,0.232,1.047,0.847,0.61,0.229,7.22,12.69,0.104,7.2,25.681,0.003,0.712,0.022,5.27,11.9,10.95,10.298,8.221,16.063,0.379,10.829,10.344,11.314,0.191,6.64,5.07,5.259,7.17,17.671,15.918,21.185,10.651,1.136,0.236,12.127,78.181,145.891,10.471
+2026-05-21 09:46:34,chaffinch_observed.csv,0.4757768776379915612156389309,0.238,2.453,1.229,7.193,0.172,6.66,15.597,0.023,7.08,7.648,0.014,0.416,0.021,5.16,10.86,9.52,7.453,6.294,10.513,2.075,4.418,2.304,6.532,0.045,7.33,6.87,5.697,6.93,17.759,18.655,24.937,12.373,1.448,0.084,12.044,117.688,224.886,10.491
+2026-05-21 09:46:35,chaffinch_observed.csv,1.143562917388504402607942028,0.272,1.253,1.003,5.992,0.479,6.67,14.592,0.315,7.12,19.173,0.052,0.273,0.008,6.06,10.85,10.53,2.245,10.984,9.126,12.843,10.072,8.825,11.318,0.241,9.18,6.33,2.255,7.11,16.006,10.615,14.137,7.093,1.584,0.161,12.055,54.266,94.956,13.577
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+2026-05-21 09:46:35,chaffinch_observed.csv,1.851643145327065864805464557,0.564,1.702,5.563,4.532,0.747,6.29,11.79,0.449,6.85,21.416,0.009,0.147,0.028,6.38,10.07,10.06,8.356,6.072,5.191,6.954,4.705,7.585,1.825,0.166,6.74,6.01,3.277,6.63,17.318,18.570,27.523,9.617,1.183,0.106,12.128,115.020,221.381,8.66
+2026-05-21 09:46:36,chaffinch_observed.csv,1.376688714939402909028902510,0.212,2.84,2.593,6.125,0.531,7.27,9.217,0.049,6.86,10.402,0.015,0.315,0.025,5.13,10.45,11.13,8.537,10.219,1.237,19.201,2.874,1.906,3.842,0.156,7.85,6.15,1.876,6.91,8.202,31.436,61.96,0.913,1.601,0.287,12.052,111.084,216.519,5.648
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+2026-05-21 09:46:36,chaffinch_observed.csv,0.8026807188173980629008394219,0.419,2.707,3.477,5.049,0.362,6.95,3.929,0.191,7.25,13.96,0.038,0.399,0.005,5.42,10.73,10.2,11.84,12.760,8.886,16.634,10.620,9.306,11.933,0.146,8.19,6.47,4.722,7.36,6.862,41.176,62.506,19.846,1.53,0.2,12.111,87.183,164.952,9.414
+2026-05-21 09:46:37,chaffinch_observed.csv,0.6524498311890320796333562637,0.648,1.575,0.75,6.911,0.469,6.76,14.173,0.242,6.82,15.005,0.014,0.681,0.014,4.6,10.27,10.13,5.804,17.458,15.566,19.349,3.710,3.642,3.777,0.093,7.85,7.38,7.61,7.46,16.556,23.462,36.678,10.246,1.103,0.047,12.034,73.502,139.424,7.58
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+2026-05-21 09:46:37,chaffinch_observed.csv,1.125947936313377783550398498,0.632,1.777,1.592,5.606,0.355,7.44,10.857,0.255,7.48,12.304,0.068,0.369,0.008,5.93,11.62,10.84,6.319,10.925,15.425,6.425,10.122,10.673,9.571,0.153,6.92,6.6,3.731,7.54,17.352,9.792,6.161,13.424,1.109,0.326,12.087,59.273,107.088,11.458
+2026-05-21 09:46:38,chaffinch_observed.csv,0.1880498314128401189620724077,0.376,3.728,4.931,6.956,0.446,7.08,3.48,0.172,7.59,14.507,0.018,0.647,0.002,5.73,9.57,11.05,3.554,9.909,7.316,12.502,7.890,6.122,9.657,0.038,6.51,5.96,4.832,6.84,7.502,21.214,39.582,2.847,1.502,0.199,12.282,69.234,123.75,14.718
+2026-05-21 09:46:38,chaffinch_observed.csv,2.921440726430972495690023051,0.249,2.73,0.992,3.364,0.727,7.09,15.287,0.003,7.43,26.17,0.061,0.176,0.025,4.62,9.88,9.59,4.989,8.235,1.759,14.711,4.470,0.705,8.234,0.091,9.18,6.44,6.626,6.95,21.837,17.361,21.917,12.805,1.363,0.295,12.064,55.612,100.041,11.183
+2026-05-21 09:46:38,chaffinch_observed.csv,20.56061101385965787316185090,0.12,2.299,2.101,7.152,0.374,7.42,4.329,0.105,7.1,11.958,0.074,0.588,0.016,7.09,9.77,10.0,4.181,3.973,7.105,0.841,3.623,5.713,1.533,0.105,8.0,6.22,4.554,7.4,14.251,24.248,44.234,4.263,1.324,0.198,12.232,120.772,235.632,5.913
+2026-05-21 09:46:39,chaffinch_observed.csv,0.7137964972680448173388268679,0.207,1.741,4.446,3.698,0.48,6.39,8.983,0.198,7.34,21.438,0.03,0.194,0.03,6.58,9.66,10.56,8.397,10.724,4.227,17.22,5.167,9.195,1.139,0.018,9.07,7.39,5.007,7.35,17.852,41.523,66.779,16.267,1.505,0.0,12.271,55.783,96.486,15.08
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diff --git a/modelling/data/abingdon-birds/resident/chaffinch_synthesised.csv b/modelling/data/abingdon-birds/resident/chaffinch_synthesised.csv
new file mode 100644
index 0000000..aac5f89
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/chaffinch_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-birds/resident/chaffinch_synthesised.png b/modelling/data/abingdon-birds/resident/chaffinch_synthesised.png
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diff --git a/modelling/data/abingdon-birds/resident/coal_tit_classification.json b/modelling/data/abingdon-birds/resident/coal_tit_classification.json
new file mode 100644
index 0000000..3b54e01
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/coal_tit_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Coal Tit",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "weak",
+    "detectability_peak_timing": "late_spring_early_summer",
+    "detectability_trough_timing": "summer",
+    "spring_carryover": "weak",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "strong",
+    "pre_summer_retention": "moderate",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "weak_baseline_presence",
+      "late_spring_early_summer_detectability_peak",
+      "summer_detectability_trough",
+      "weak_spring_carryover",
+      "moderate_summer_suppression",
+      "strong_summer_decay_acceleration",
+      "moderate_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "low"
+  },
+  "derived_metrics": {
+    "target_peak_month": 5,
+    "target_peak_label": "May",
+    "target_trough_month": 7,
+    "target_trough_label": "July",
+    "target_peak_value": 0.5953104080888479,
+    "target_trough_value": 0.0,
+    "target_mean_value": 0.16406511606117974,
+    "target_amplitude": 0.5953104080888479,
+    "baseline_to_peak_ratio": 0.0806302045920826,
+    "autumn_to_winter_weight_ratio": 0.04780876494023904,
+    "year_end_to_winter_weight_ratio": 0.3426294820717131,
+    "decay_to_growth_ratio": 1.870304114490161,
+    "monthly_target": {
+      "January": 0.09805528107899339,
+      "February": 0.10006634081582867,
+      "March": 0.1530705408885017,
+      "April": 0.40883168951135435,
+      "May": 0.5953104080888479,
+      "June": 0.24998132746428625,
+      "July": 0.0,
+      "August": 0.0,
+      "September": 0.04088854012888354,
+      "October": 0.054660766072781156,
+      "November": 0.07192424969309194,
+      "December": 0.19599224899158804
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.232,
+    "GROWTH_RATE": 2.236,
+    "DECAY_RATE": 4.182,
+    "SUMMER_DECAY_BOOST": 5.048,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.356,
+    "PRE_SUMMER_DECAY_END": 7.035,
+    "PRE_SUMMER_DECAY_SHARPNESS": 8.258,
+    "SPRING_CARRYOVER_WEIGHT": 0.05,
+    "SPRING_CARRYOVER_END": 7.02,
+    "SPRING_CARRYOVER_SHARPNESS": 14.184,
+    "BASELINE": 0.048,
+    "WINTER_WEIGHT": 0.502,
+    "AUTUMN_WEIGHT": 0.024,
+    "WINTER_PEAK": 4.9,
+    "AUTUMN_PEAK": 10.95,
+    "AUTUMN_ONSET": 10.025,
+    "AUTUMN_GATE_SHARPNESS": 6.458,
+    "WINTER_WIDTH": 10.924,
+    "WINTER_RISE_WIDTH": 8.554,
+    "WINTER_FALL_WIDTH": 13.692,
+    "AUTUMN_WIDTH": 7.082,
+    "AUTUMN_RISE_WIDTH": 7.637,
+    "AUTUMN_FALL_WIDTH": 7.631,
+    "SUMMER_DIP": 0.1,
+    "SUMMER_LOW": 6.96,
+    "SUMMER_ONSET": 5.305,
+    "SUMMER_GATE_SHARPNESS": 5.46,
+    "SUMMER_DECAY_ONSET": 7.02,
+    "SUMMER_DECAY_GATE_SHARPNESS": 14.572,
+    "SUMMER_WIDTH": 24.202,
+    "SUMMER_RISE_WIDTH": 41.938,
+    "SUMMER_FALL_WIDTH": 8.812,
+    "SCALE": 1.083,
+    "YEAR_END_WEIGHT": 0.172,
+    "YEAR_END_PEAK": 12.148,
+    "YEAR_END_WIDTH": 84.342,
+    "YEAR_END_RISE_WIDTH": 163.234,
+    "YEAR_END_FALL_WIDTH": 8.808
+  },
+  "fit": {
+    "score": 0.537
+  },
+  "warnings": [],
+  "summary": "Coal Tit is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around May and reaches its lowest point around July. The model indicates weak baseline presence, weak spring carry-over, moderate pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/coal_tit_consensus.json b/modelling/data/abingdon-birds/resident/coal_tit_consensus.json
new file mode 100644
index 0000000..c49bc70
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/coal_tit_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.537",
+  "INITIAL_Y": "0.232",
+  "GROWTH_RATE": "2.236",
+  "DECAY_RATE": "4.182",
+  "SUMMER_DECAY_BOOST": "5.048",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.356",
+  "PRE_SUMMER_DECAY_END": "7.035",
+  "PRE_SUMMER_DECAY_SHARPNESS": "8.258",
+  "SPRING_CARRYOVER_WEIGHT": "0.05",
+  "SPRING_CARRYOVER_END": "7.02",
+  "SPRING_CARRYOVER_SHARPNESS": "14.184",
+  "BASELINE": "0.048",
+  "WINTER_WEIGHT": "0.502",
+  "AUTUMN_WEIGHT": "0.024",
+  "WINTER_PEAK": "4.9",
+  "AUTUMN_PEAK": "10.95",
+  "AUTUMN_ONSET": "10.025",
+  "AUTUMN_GATE_SHARPNESS": "6.458",
+  "WINTER_WIDTH": "10.924",
+  "WINTER_RISE_WIDTH": "8.554",
+  "WINTER_FALL_WIDTH": "13.692",
+  "AUTUMN_WIDTH": "7.082",
+  "AUTUMN_RISE_WIDTH": "7.637",
+  "AUTUMN_FALL_WIDTH": "7.631",
+  "SUMMER_DIP": "0.1",
+  "SUMMER_LOW": "6.96",
+  "SUMMER_ONSET": "5.305",
+  "SUMMER_GATE_SHARPNESS": "5.46",
+  "SUMMER_DECAY_ONSET": "7.02",
+  "SUMMER_DECAY_GATE_SHARPNESS": "14.572",
+  "SUMMER_WIDTH": "24.202",
+  "SUMMER_RISE_WIDTH": "41.938",
+  "SUMMER_FALL_WIDTH": "8.812",
+  "SCALE": "1.083",
+  "YEAR_END_WEIGHT": "0.172",
+  "YEAR_END_PEAK": "12.148",
+  "YEAR_END_WIDTH": "84.342",
+  "YEAR_END_RISE_WIDTH": "163.234",
+  "YEAR_END_FALL_WIDTH": "8.808",
+  "SPECIES": "Coal Tit"
+}
diff --git a/modelling/data/abingdon-birds/resident/coal_tit_observed.csv b/modelling/data/abingdon-birds/resident/coal_tit_observed.csv
new file mode 100644
index 0000000..e2c6cbe
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/coal_tit_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,2
+2,2
+3,1
+4,1
+5,6
+6,1
+7,0
+8,3
+9,3
+10,1
+11,4
+12,1
diff --git a/modelling/data/abingdon-birds/resident/coal_tit_parameters.csv b/modelling/data/abingdon-birds/resident/coal_tit_parameters.csv
new file mode 100644
index 0000000..4f0bd36
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/coal_tit_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
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diff --git a/modelling/data/abingdon-birds/resident/coal_tit_synthesised.csv b/modelling/data/abingdon-birds/resident/coal_tit_synthesised.csv
new file mode 100644
index 0000000..f85bf6e
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/coal_tit_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
+1,2,0.15103470000000002,1.2992236565954751
+2,2,0.1083392,0.9319504165375803
+3,1,0.1805777,1.5533570741928888
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+6,1,0.22717247000000002,1.954172432899366
+7,0,0.0102798372,0.08842873641746027
+8,3,0.0095264704,0.08194815964501243
+9,3,0.03723597,0.3203095255612082
+10,1,0.05660416,0.48691766682567195
+11,4,0.0715462,0.6154513868634901
+12,1,0.1658696,1.4268357419191007
diff --git a/modelling/data/abingdon-birds/resident/coal_tit_synthesised.png b/modelling/data/abingdon-birds/resident/coal_tit_synthesised.png
new file mode 100644
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diff --git a/modelling/data/abingdon-birds/resident/collared_dove_classification.json b/modelling/data/abingdon-birds/resident/collared_dove_classification.json
new file mode 100644
index 0000000..1b0998e
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/collared_dove_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Collared Dove",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "strong",
+    "detectability_peak_timing": "late_spring_early_summer",
+    "detectability_trough_timing": "autumn",
+    "spring_carryover": "strong",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "moderate",
+    "pre_summer_retention": "moderate",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "strong_baseline_presence",
+      "late_spring_early_summer_detectability_peak",
+      "autumn_detectability_trough",
+      "strong_spring_carryover",
+      "moderate_summer_suppression",
+      "moderate_summer_decay_acceleration",
+      "moderate_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "decline_biased_response_dynamics"
+    ],
+    "confidence": "medium"
+  },
+  "derived_metrics": {
+    "target_peak_month": 5,
+    "target_peak_label": "May",
+    "target_trough_month": 10,
+    "target_trough_label": "October",
+    "target_peak_value": 0.9417603519124234,
+    "target_trough_value": 0.18697509300245654,
+    "target_mean_value": 0.5247953698728599,
+    "target_amplitude": 0.7547852589099668,
+    "baseline_to_peak_ratio": 0.34191288616697213,
+    "autumn_to_winter_weight_ratio": 0.064343163538874,
+    "year_end_to_winter_weight_ratio": 0.5683646112600537,
+    "decay_to_growth_ratio": 0.8744257274119449,
+    "monthly_target": {
+      "January": 0.5710956009390109,
+      "February": 0.5715269202318037,
+      "March": 0.5936529743970521,
+      "April": 0.7491520271810249,
+      "May": 0.9417603519124234,
+      "June": 0.7608026791469876,
+      "July": 0.5583969910442957,
+      "August": 0.32216206232578837,
+      "September": 0.319171278793318,
+      "October": 0.18697509300245654,
+      "November": 0.2425176475944163,
+      "December": 0.4803308119057407
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.893,
+    "GROWTH_RATE": 2.612,
+    "DECAY_RATE": 2.284,
+    "SUMMER_DECAY_BOOST": 3.594,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.411,
+    "PRE_SUMMER_DECAY_END": 7.16,
+    "PRE_SUMMER_DECAY_SHARPNESS": 10.106,
+    "SPRING_CARRYOVER_WEIGHT": 0.249,
+    "SPRING_CARRYOVER_END": 7.115,
+    "SPRING_CARRYOVER_SHARPNESS": 17.566,
+    "BASELINE": 0.322,
+    "WINTER_WEIGHT": 0.373,
+    "AUTUMN_WEIGHT": 0.024,
+    "WINTER_PEAK": 5.1,
+    "AUTUMN_PEAK": 10.895,
+    "AUTUMN_ONSET": 11.385,
+    "AUTUMN_GATE_SHARPNESS": 7.552,
+    "WINTER_WIDTH": 10.462,
+    "WINTER_RISE_WIDTH": 8.786,
+    "WINTER_FALL_WIDTH": 12.056,
+    "AUTUMN_WIDTH": 5.604,
+    "AUTUMN_RISE_WIDTH": 6.918,
+    "AUTUMN_FALL_WIDTH": 5.792,
+    "SUMMER_DIP": 0.136,
+    "SUMMER_LOW": 10.045,
+    "SUMMER_ONSET": 8.21,
+    "SUMMER_GATE_SHARPNESS": 4.972,
+    "SUMMER_DECAY_ONSET": 7.16,
+    "SUMMER_DECAY_GATE_SHARPNESS": 14.829,
+    "SUMMER_WIDTH": 27.552,
+    "SUMMER_RISE_WIDTH": 50.836,
+    "SUMMER_FALL_WIDTH": 8.258,
+    "SCALE": 1.334,
+    "YEAR_END_WEIGHT": 0.212,
+    "YEAR_END_PEAK": 12.164,
+    "YEAR_END_WIDTH": 84.298,
+    "YEAR_END_RISE_WIDTH": 159.726,
+    "YEAR_END_FALL_WIDTH": 10.652
+  },
+  "fit": {
+    "score": 0.31
+  },
+  "warnings": [],
+  "summary": "Collared Dove is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around May and reaches its lowest point around October. The model indicates strong baseline presence, strong spring carry-over, moderate pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/collared_dove_consensus.json b/modelling/data/abingdon-birds/resident/collared_dove_consensus.json
new file mode 100644
index 0000000..7240f2f
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/collared_dove_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.31",
+  "INITIAL_Y": "0.893",
+  "GROWTH_RATE": "2.612",
+  "DECAY_RATE": "2.284",
+  "SUMMER_DECAY_BOOST": "3.594",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.411",
+  "PRE_SUMMER_DECAY_END": "7.16",
+  "PRE_SUMMER_DECAY_SHARPNESS": "10.106",
+  "SPRING_CARRYOVER_WEIGHT": "0.249",
+  "SPRING_CARRYOVER_END": "7.115",
+  "SPRING_CARRYOVER_SHARPNESS": "17.566",
+  "BASELINE": "0.322",
+  "WINTER_WEIGHT": "0.373",
+  "AUTUMN_WEIGHT": "0.024",
+  "WINTER_PEAK": "5.1",
+  "AUTUMN_PEAK": "10.895",
+  "AUTUMN_ONSET": "11.385",
+  "AUTUMN_GATE_SHARPNESS": "7.552",
+  "WINTER_WIDTH": "10.462",
+  "WINTER_RISE_WIDTH": "8.786",
+  "WINTER_FALL_WIDTH": "12.056",
+  "AUTUMN_WIDTH": "5.604",
+  "AUTUMN_RISE_WIDTH": "6.918",
+  "AUTUMN_FALL_WIDTH": "5.792",
+  "SUMMER_DIP": "0.136",
+  "SUMMER_LOW": "10.045",
+  "SUMMER_ONSET": "8.21",
+  "SUMMER_GATE_SHARPNESS": "4.972",
+  "SUMMER_DECAY_ONSET": "7.16",
+  "SUMMER_DECAY_GATE_SHARPNESS": "14.829",
+  "SUMMER_WIDTH": "27.552",
+  "SUMMER_RISE_WIDTH": "50.836",
+  "SUMMER_FALL_WIDTH": "8.258",
+  "SCALE": "1.334",
+  "YEAR_END_WEIGHT": "0.212",
+  "YEAR_END_PEAK": "12.164",
+  "YEAR_END_WIDTH": "84.298",
+  "YEAR_END_RISE_WIDTH": "159.726",
+  "YEAR_END_FALL_WIDTH": "10.652",
+  "SPECIES": "Collared Dove"
+}
diff --git a/modelling/data/abingdon-birds/resident/collared_dove_observed.csv b/modelling/data/abingdon-birds/resident/collared_dove_observed.csv
new file mode 100644
index 0000000..79446ba
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/collared_dove_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,85
+2,60
+3,88
+4,98
+5,99
+6,91
+7,80
+8,70
+9,48
+10,20
+11,34
+12,45
diff --git a/modelling/data/abingdon-birds/resident/collared_dove_parameters.csv b/modelling/data/abingdon-birds/resident/collared_dove_parameters.csv
new file mode 100644
index 0000000..fa46326
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/collared_dove_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 09:48:36,collared_dove_observed.csv,0.3524682904525408019511045946,1.025,2.216,5.266,0.651,0.262,7.04,5.369,0.234,7.12,13.164,0.424,0.154,0.014,4.21,1.11,11.27,4.589,4.906,3.986,5.825,3.732,1.04,6.424,0.228,9.97,8.21,7.24,7.19,20.325,28.766,56.282,1.25,1.12,0.004,12.229,123.858,233.834,13.883
+2026-05-21 09:48:37,collared_dove_observed.csv,1.354110711769160923217497531,1.0,3.911,2.304,7.648,0.223,6.54,6.419,0.015,6.74,25.694,0.487,0.629,0.011,6.47,11.64,11.49,7.151,11.970,14.124,9.816,9.390,11.068,7.713,0.245,8.67,8.02,2.571,7.11,22.986,44.538,72.049,17.027,0.812,0.211,12.021,60.108,112.917,7.3
+2026-05-21 09:48:37,collared_dove_observed.csv,0.9671230784437434439909456748,1.196,1.481,2.667,0.403,0.452,6.27,10.571,0.045,6.51,11.86,0.307,0.593,0.049,6.45,1.17,11.45,9.151,13.349,14.063,12.635,9.923,6.613,13.233,0.033,9.09,7.43,2.41,7.57,17.688,9.748,14.916,4.579,1.285,0.068,12.016,54.882,101.856,7.908
+2026-05-21 09:48:37,collared_dove_observed.csv,0.1372989107936288274378220810,1.184,2.542,0.228,3.591,0.198,7.57,13.509,0.343,7.36,20.301,0.259,0.586,0.015,4.65,10.93,11.46,11.442,1.293,0.767,1.819,5.706,0.663,10.75,0.219,10.07,7.28,1.626,7.11,16.553,46.078,72.686,19.469,0.811,0.217,12.263,80.703,146.218,15.188
+2026-05-21 09:48:38,collared_dove_observed.csv,0.7583265692209100359778897583,0.951,1.68,4.619,2.915,0.475,7.45,6.77,0.412,7.43,25.827,0.183,0.394,0.032,3.93,11.29,11.3,2.691,10.927,4.335,17.519,13.080,13.188,12.973,0.198,8.63,8.25,7.21,6.65,10.323,23.976,37.323,10.63,1.517,0.327,12.288,64.767,118.608,10.926
+2026-05-21 09:48:38,collared_dove_observed.csv,0.2420823209598296669603113684,0.96,2.899,3.302,2.818,0.202,6.64,10.021,0.19,7.1,27.836,0.227,0.353,0.003,5.74,10.75,11.48,11.465,8.848,1.441,16.254,9.830,11.249,8.412,0.12,10.93,8.21,7.718,6.61,21.593,24.903,32.302,17.504,1.402,0.341,12.136,75.974,139.346,12.602
+2026-05-21 09:48:38,collared_dove_observed.csv,0.3682879015796512053504717103,0.686,2.977,5.43,0.438,0.186,6.49,14.258,0.075,7.16,26.778,0.105,0.571,0.04,4.75,10.6,11.25,8.527,16.524,18.933,14.114,12.286,11.037,13.536,0.148,9.69,7.62,7.36,7.45,19.747,37.814,61.01,14.619,1.642,0.108,12.088,124.254,236.574,11.935
+2026-05-21 09:48:38,collared_dove_observed.csv,0.5605222930936324205102248027,0.839,2.045,5.27,3.355,0.15,7.67,12.584,0.275,7.26,13.568,0.503,0.262,0.02,5.16,11.18,11.36,2.597,14.298,9.259,19.336,11.008,10.38,11.635,0.244,10.21,8.93,7.052,7.14,10.405,47.200,79.883,14.516,1.714,0.209,12.216,115.006,218.278,11.733
+2026-05-21 09:48:39,collared_dove_observed.csv,0.5094640144544058404208337712,0.973,3.896,5.85,6.69,0.045,7.64,15.467,0.213,7.08,24.624,0.097,0.522,0.019,3.83,10.84,11.37,7.211,5.192,1.936,8.449,1.960,0.514,3.407,0.194,9.37,9.08,3.579,6.87,11.07,26.256,48.732,3.779,1.286,0.01,12.142,106.697,199.228,14.166
+2026-05-21 09:48:39,collared_dove_observed.csv,0.3179920327323037102310755696,0.72,3.881,1.026,6.97,0.833,7.45,11.87,0.339,7.11,9.868,0.275,0.375,0.009,5.24,11.32,11.42,5.521,7.473,9.586,5.36,4.892,2.675,7.11,0.064,9.23,9.34,7.105,6.63,17.59,33.594,65.567,1.62,1.68,0.041,12.099,79.006,144.566,13.447
+2026-05-21 09:48:39,collared_dove_observed.csv,0.9526487868948244119005935261,0.987,1.283,1.611,7.479,0.558,7.63,5.78,0.193,6.93,6.204,0.226,0.385,0.019,4.27,10.73,11.39,2.552,16.712,17.174,16.251,6.271,9.487,3.055,0.214,10.69,9.2,3.891,7.43,14.323,39.450,68.582,10.317,1.721,0.105,12.186,72.676,135.08,10.273
+2026-05-21 09:48:40,collared_dove_observed.csv,0.4930957983809075904317069575,0.832,3.655,3.427,3.704,0.836,7.61,13.731,0.191,7.32,14.069,0.385,0.329,0.027,5.88,11.89,11.49,2.377,8.548,12.602,4.494,12.163,11.217,13.109,0.034,8.8,9.15,4.492,6.73,12.751,34.106,65.245,2.966,1.417,0.315,12.29,117.384,224.611,10.156
+2026-05-21 09:48:40,collared_dove_observed.csv,1.227591538660014886759198859,0.757,0.339,4.279,0.216,0.672,6.82,9.592,0.428,6.81,24.59,0.134,0.1,0.016,3.72,11.62,11.28,10.199,11.940,18.164,5.715,12.056,12.24,11.873,0.102,9.24,7.78,4.288,6.77,8.878,35.061,65.646,4.476,1.714,0.12,12.012,53.292,95.468,11.115
+2026-05-21 09:48:40,collared_dove_observed.csv,0.1165732126563891006889583644,0.673,3.96,3.448,5.606,0.91,7.41,13.124,0.03,7.27,7.118,0.103,0.582,0.049,4.31,1.43,11.34,10.095,5.753,10.601,0.905,2.000,2.233,1.768,0.234,10.96,8.15,3.012,6.91,18.484,43.326,78.185,8.468,1.132,0.142,12.136,86.458,159.02,13.895
+2026-05-21 09:48:41,collared_dove_observed.csv,0.4389572724136584204733568232,1.054,2.702,3.128,3.889,0.633,6.7,9.22,0.065,7.03,21.135,0.133,0.558,0.009,3.95,11.47,11.34,8.854,9.809,9.79,9.828,5.599,2.664,8.534,0.186,10.91,7.33,4.529,7.04,20.232,35.618,55.315,15.922,1.299,0.204,12.075,111.573,210.979,12.167
+2026-05-21 09:48:41,collared_dove_observed.csv,0.5336438202722356876421610222,0.662,2.379,4.693,2.512,0.109,7.45,15.964,0.221,6.65,8.593,0.284,0.618,0.035,6.16,1.46,11.32,5.099,4.250,3.928,4.571,4.154,2.83,5.477,0.232,9.0,8.27,5.622,7.49,9.962,31.420,57.799,5.041,1.43,0.204,12.239,98.324,189.517,7.131
+2026-05-21 09:48:41,collared_dove_observed.csv,1.326093131226078908048129017,1.017,1.627,2.632,7.433,0.597,6.74,12.077,0.025,6.56,23.58,0.517,0.236,0.014,6.48,10.94,11.47,5.034,16.644,18.563,14.726,8.584,8.319,8.85,0.041,8.79,8.49,6.29,7.16,10.743,12.438,11.809,13.068,0.861,0.316,12.016,114.968,225.739,4.197
+2026-05-21 09:48:42,collared_dove_observed.csv,0.5700350624190135693005009229,0.902,3.934,2.287,3.311,0.66,6.69,11.893,0.331,7.31,25.784,0.399,0.072,0.02,5.71,11.31,11.41,8.819,11.618,11.44,11.797,10.781,13.317,8.245,0.166,9.61,7.91,6.855,7.57,18.609,10.670,10.145,11.196,1.245,0.327,12.067,118.622,230.47,6.774
+2026-05-21 09:48:42,collared_dove_observed.csv,0.6659566827442784718817836339,0.842,0.786,1.741,3.222,0.53,7.03,3.324,0.233,6.5,16.419,0.191,0.332,0.025,4.48,11.44,11.25,7.518,7.308,9.715,4.9,6.041,6.566,5.516,0.124,9.61,9.49,6.355,7.45,21.655,29.278,50.885,7.672,1.605,0.122,12.141,59.100,111.652,6.548
+2026-05-21 09:48:42,collared_dove_observed.csv,0.4534151744298526951062599944,0.879,3.112,0.745,2.293,0.165,7.12,7.938,0.266,7.35,13.259,0.319,0.079,0.03,4.64,11.24,11.44,6.515,7.841,0.688,14.994,5.964,10.904,1.023,0.078,8.82,7.74,3.131,7.28,22.236,29.030,51.716,6.343,0.989,0.004,12.068,76.212,138.894,13.529
+2026-05-21 09:48:42,collared_dove_observed.csv,0.6824629439676488323523980728,1.063,2.07,3.512,6.392,0.642,6.5,6.263,0.06,7.57,6.412,0.488,0.422,0.017,5.33,10.8,11.4,11.507,13.766,19.709,7.823,12.374,10.881,13.866,0.078,9.74,8.6,5.912,6.62,19.952,42.038,69.71,14.367,1.031,0.185,12.133,78.330,149.09,7.569
+2026-05-21 09:48:43,collared_dove_observed.csv,0.7615993502746356446014681908,1.093,3.614,5.008,3.483,0.785,6.47,12.641,0.215,6.93,20.959,0.283,0.325,0.024,4.49,11.29,11.25,9.454,11.831,13.552,10.11,7.558,4.612,10.504,0.167,8.66,8.06,7.96,7.48,13.329,10.503,15.321,5.685,0.96,0.125,12.048,67.096,128.307,5.885
+2026-05-21 09:48:43,collared_dove_observed.csv,0.3168916156394951330103055672,0.877,1.801,0.928,2.194,0.704,7.2,9.975,0.373,6.82,23.47,0.196,0.74,0.021,5.53,1.15,11.47,4.018,10.782,6.512,15.051,9.955,9.062,10.848,0.147,8.52,9.06,2.32,7.44,23.938,25.794,39.549,12.04,1.481,0.261,12.108,61.922,117.755,6.088
+2026-05-21 09:48:43,collared_dove_observed.csv,0.8688701776489317754804040241,0.834,3.357,4.707,7.637,0.38,6.38,4.288,0.145,6.64,7.431,0.399,0.687,0.026,6.04,1.34,11.25,3.835,7.260,12.959,1.561,4.239,5.755,2.723,0.097,10.86,8.46,3.284,7.27,19.958,22.112,29.282,14.941,1.302,0.076,12.019,58.950,107.329,10.571
+2026-05-21 09:48:44,collared_dove_observed.csv,0.7535702401871539511517498764,0.771,0.353,3.198,7.575,0.344,7.69,11.044,0.364,7.09,16.495,0.278,0.096,0.027,4.42,1.4,11.36,3.135,10.798,8.182,13.415,9.529,7.446,11.612,0.192,9.61,9.1,7.774,7.36,22.526,6.296,8.918,3.673,1.564,0.043,12.135,119.888,225.938,13.838
+2026-05-21 09:48:44,collared_dove_observed.csv,0.3104752380883917210541372304,1.19,2.739,4.525,2.202,0.248,6.33,14.97,0.107,7.46,24.711,0.415,0.646,0.013,6.0,11.45,11.45,11.707,10.265,12.209,8.321,2.914,5.288,0.541,0.136,10.24,8.45,6.84,7.32,9.735,7.208,7.127,7.288,1.795,0.095,12.22,121.106,228.631,13.582
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diff --git a/modelling/data/abingdon-birds/resident/collared_dove_synthesised.csv b/modelling/data/abingdon-birds/resident/collared_dove_synthesised.csv
new file mode 100644
index 0000000..7039f6a
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/collared_dove_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
+1,85,0.7602016,92.15070097920912
+2,60,0.6217963,75.37338110216896
+3,88,0.6204187,75.20639012810503
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+6,91,0.7915829999999999,95.95471560862971
+7,80,0.5256864,63.72305748269527
+8,70,0.3455362,41.88547227957979
+9,48,0.2960343,35.884912974255094
+10,20,0.2000258,24.246880937802665
+11,34,0.25889280000000003,31.382666122342012
+12,45,0.4510115,54.67105814389837
diff --git a/modelling/data/abingdon-birds/resident/collared_dove_synthesised.png b/modelling/data/abingdon-birds/resident/collared_dove_synthesised.png
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diff --git a/modelling/data/abingdon-birds/resident/common_kestrel_classification.json b/modelling/data/abingdon-birds/resident/common_kestrel_classification.json
new file mode 100644
index 0000000..3465b7d
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/common_kestrel_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Common Kestrel",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "moderate",
+    "detectability_peak_timing": "spring",
+    "detectability_trough_timing": "late_autumn",
+    "spring_carryover": "weak",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "strong",
+    "pre_summer_retention": "strong",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "moderate_baseline_presence",
+      "spring_detectability_peak",
+      "late_autumn_detectability_trough",
+      "weak_spring_carryover",
+      "moderate_summer_suppression",
+      "strong_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "decline_biased_response_dynamics"
+    ],
+    "confidence": "low"
+  },
+  "derived_metrics": {
+    "target_peak_month": 4,
+    "target_peak_label": "April",
+    "target_trough_month": 11,
+    "target_trough_label": "November",
+    "target_peak_value": 0.7649842854269909,
+    "target_trough_value": 0.16444544724193405,
+    "target_mean_value": 0.3882718232372166,
+    "target_amplitude": 0.6005388381850569,
+    "baseline_to_peak_ratio": 0.3686350234535814,
+    "autumn_to_winter_weight_ratio": 0.06880733944954129,
+    "year_end_to_winter_weight_ratio": 0.6192660550458715,
+    "decay_to_growth_ratio": 1.1338199513381995,
+    "monthly_target": {
+      "January": 0.3303514809352735,
+      "February": 0.3528718668252337,
+      "March": 0.5526928871315183,
+      "April": 0.7649842854269909,
+      "May": 0.5127955885404,
+      "June": 0.3441731317515394,
+      "July": 0.32124930848274114,
+      "August": 0.28200004348626295,
+      "September": 0.28199951218647074,
+      "October": 0.2661563066243525,
+      "November": 0.16444544724193405,
+      "December": 0.4855420202138818
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.964,
+    "GROWTH_RATE": 2.466,
+    "DECAY_RATE": 2.796,
+    "SUMMER_DECAY_BOOST": 4.038,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.526,
+    "PRE_SUMMER_DECAY_END": 6.875,
+    "PRE_SUMMER_DECAY_SHARPNESS": 8.56,
+    "SPRING_CARRYOVER_WEIGHT": 0.048,
+    "SPRING_CARRYOVER_END": 7.08,
+    "SPRING_CARRYOVER_SHARPNESS": 18.536,
+    "BASELINE": 0.282,
+    "WINTER_WEIGHT": 0.436,
+    "AUTUMN_WEIGHT": 0.03,
+    "WINTER_PEAK": 3.945,
+    "AUTUMN_PEAK": 11.135,
+    "AUTUMN_ONSET": 11.96,
+    "AUTUMN_GATE_SHARPNESS": 7.997,
+    "WINTER_WIDTH": 10.67,
+    "WINTER_RISE_WIDTH": 10.864,
+    "WINTER_FALL_WIDTH": 11.249,
+    "AUTUMN_WIDTH": 7.47,
+    "AUTUMN_RISE_WIDTH": 7.179,
+    "AUTUMN_FALL_WIDTH": 7.54,
+    "SUMMER_DIP": 0.12,
+    "SUMMER_LOW": 10.83,
+    "SUMMER_ONSET": 9.575,
+    "SUMMER_GATE_SHARPNESS": 4.854,
+    "SUMMER_DECAY_ONSET": 6.975,
+    "SUMMER_DECAY_GATE_SHARPNESS": 15.392,
+    "SUMMER_WIDTH": 21.988,
+    "SUMMER_RISE_WIDTH": 40.029,
+    "SUMMER_FALL_WIDTH": 9.831,
+    "SCALE": 1.335,
+    "YEAR_END_WEIGHT": 0.27,
+    "YEAR_END_PEAK": 12.105,
+    "YEAR_END_WIDTH": 85.708,
+    "YEAR_END_RISE_WIDTH": 162.576,
+    "YEAR_END_FALL_WIDTH": 9.071
+  },
+  "fit": {
+    "score": 0.549
+  },
+  "warnings": [],
+  "summary": "Common Kestrel is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around April and reaches its lowest point around November. The model indicates moderate baseline presence, weak spring carry-over, strong pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/common_kestrel_consensus.json b/modelling/data/abingdon-birds/resident/common_kestrel_consensus.json
new file mode 100644
index 0000000..10cf22d
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/common_kestrel_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.549",
+  "INITIAL_Y": "0.964",
+  "GROWTH_RATE": "2.466",
+  "DECAY_RATE": "2.796",
+  "SUMMER_DECAY_BOOST": "4.038",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.526",
+  "PRE_SUMMER_DECAY_END": "6.875",
+  "PRE_SUMMER_DECAY_SHARPNESS": "8.56",
+  "SPRING_CARRYOVER_WEIGHT": "0.048",
+  "SPRING_CARRYOVER_END": "7.08",
+  "SPRING_CARRYOVER_SHARPNESS": "18.536",
+  "BASELINE": "0.282",
+  "WINTER_WEIGHT": "0.436",
+  "AUTUMN_WEIGHT": "0.03",
+  "WINTER_PEAK": "3.945",
+  "AUTUMN_PEAK": "11.135",
+  "AUTUMN_ONSET": "11.96",
+  "AUTUMN_GATE_SHARPNESS": "7.997",
+  "WINTER_WIDTH": "10.67",
+  "WINTER_RISE_WIDTH": "10.864",
+  "WINTER_FALL_WIDTH": "11.249",
+  "AUTUMN_WIDTH": "7.47",
+  "AUTUMN_RISE_WIDTH": "7.179",
+  "AUTUMN_FALL_WIDTH": "7.54",
+  "SUMMER_DIP": "0.12",
+  "SUMMER_LOW": "10.83",
+  "SUMMER_ONSET": "9.575",
+  "SUMMER_GATE_SHARPNESS": "4.854",
+  "SUMMER_DECAY_ONSET": "6.975",
+  "SUMMER_DECAY_GATE_SHARPNESS": "15.392",
+  "SUMMER_WIDTH": "21.988",
+  "SUMMER_RISE_WIDTH": "40.029",
+  "SUMMER_FALL_WIDTH": "9.831",
+  "SCALE": "1.335",
+  "YEAR_END_WEIGHT": "0.27",
+  "YEAR_END_PEAK": "12.105",
+  "YEAR_END_WIDTH": "85.708",
+  "YEAR_END_RISE_WIDTH": "162.576",
+  "YEAR_END_FALL_WIDTH": "9.071",
+  "SPECIES": "Common Kestrel"
+}
diff --git a/modelling/data/abingdon-birds/resident/common_kestrel_observed.csv b/modelling/data/abingdon-birds/resident/common_kestrel_observed.csv
new file mode 100644
index 0000000..19b2399
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/common_kestrel_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,16
+2,13
+3,8
+4,18
+5,5
+6,5
+7,7
+8,4
+9,8
+10,9
+11,2
+12,11
diff --git a/modelling/data/abingdon-birds/resident/common_kestrel_parameters.csv b/modelling/data/abingdon-birds/resident/common_kestrel_parameters.csv
new file mode 100644
index 0000000..d2736b1
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/common_kestrel_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 09:49:39,common_kestrel_observed.csv,0.7911272661233028661643314239,0.64,2.606,3.83,6.426,0.158,7.34,13.535,0.08,6.98,12.631,0.104,0.52,0.042,4.64,10.52,12.11,11.738,3.330,3.759,2.901,1.886,1.823,1.949,0.081,11.28,9.93,0.887,6.68,17.612,32.156,47.491,16.821,1.332,0.118,12.055,96.456,188.769,4.143
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diff --git a/modelling/data/abingdon-birds/resident/common_kestrel_simulated.csv b/modelling/data/abingdon-birds/resident/common_kestrel_simulated.csv
new file mode 100644
index 0000000..6700ac3
--- /dev/null
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diff --git a/modelling/data/abingdon-birds/resident/common_kestrel_synthesised.csv b/modelling/data/abingdon-birds/resident/common_kestrel_synthesised.csv
new file mode 100644
index 0000000..2f4665b
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/common_kestrel_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
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+9,8,0.2816551,5.732872041449571
+10,9,0.22779449999999998,4.636581124382212
+11,2,0.1859877,3.7856359973013465
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diff --git a/modelling/data/abingdon-birds/resident/common_kestrel_synthesised.png b/modelling/data/abingdon-birds/resident/common_kestrel_synthesised.png
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diff --git a/modelling/data/abingdon-birds/resident/common_starling_classification.json b/modelling/data/abingdon-birds/resident/common_starling_classification.json
new file mode 100644
index 0000000..759ebe6
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/common_starling_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Common Starling",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_spring_persistence_and_summer_suppression",
+    "baseline_presence": "strong",
+    "detectability_peak_timing": "winter",
+    "detectability_trough_timing": "summer",
+    "spring_carryover": "moderate",
+    "summer_suppression": "strong",
+    "summer_decay_acceleration": "moderate",
+    "pre_summer_retention": "strong",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "strong_baseline_presence",
+      "winter_detectability_peak",
+      "summer_detectability_trough",
+      "moderate_spring_carryover",
+      "strong_summer_suppression",
+      "moderate_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "decline_biased_response_dynamics"
+    ],
+    "confidence": "low"
+  },
+  "derived_metrics": {
+    "target_peak_month": 2,
+    "target_peak_label": "February",
+    "target_trough_month": 8,
+    "target_trough_label": "August",
+    "target_peak_value": 1.1902003786424675,
+    "target_trough_value": 0.43480445206900903,
+    "target_mean_value": 0.7756278512637006,
+    "target_amplitude": 0.7553959265734586,
+    "baseline_to_peak_ratio": 0.48899329091444604,
+    "autumn_to_winter_weight_ratio": 0.06467661691542288,
+    "year_end_to_winter_weight_ratio": 0.41044776119402987,
+    "decay_to_growth_ratio": 1.225254394079556,
+    "monthly_target": {
+      "January": 1.0986372154294322,
+      "February": 1.1902003786424675,
+      "March": 0.9358653685452204,
+      "April": 0.8099791607582273,
+      "May": 0.801069673094801,
+      "June": 0.8008277169314825,
+      "July": 0.6652442621258526,
+      "August": 0.43480445206900903,
+      "September": 0.551284393855851,
+      "October": 0.5952835428037899,
+      "November": 0.6141104812924193,
+      "December": 0.8102275696158545
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 1.038,
+    "GROWTH_RATE": 2.162,
+    "DECAY_RATE": 2.649,
+    "SUMMER_DECAY_BOOST": 3.684,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.462,
+    "PRE_SUMMER_DECAY_END": 7.175,
+    "PRE_SUMMER_DECAY_SHARPNESS": 8.584,
+    "SPRING_CARRYOVER_WEIGHT": 0.219,
+    "SPRING_CARRYOVER_END": 7.105,
+    "SPRING_CARRYOVER_SHARPNESS": 16.184,
+    "BASELINE": 0.582,
+    "WINTER_WEIGHT": 0.402,
+    "AUTUMN_WEIGHT": 0.026,
+    "WINTER_PEAK": 1.79,
+    "AUTUMN_PEAK": 10.82,
+    "AUTUMN_ONSET": 9.81,
+    "AUTUMN_GATE_SHARPNESS": 7.708,
+    "WINTER_WIDTH": 10.058,
+    "WINTER_RISE_WIDTH": 6.978,
+    "WINTER_FALL_WIDTH": 10.7,
+    "AUTUMN_WIDTH": 7.958,
+    "AUTUMN_RISE_WIDTH": 8.313,
+    "AUTUMN_FALL_WIDTH": 8.341,
+    "SUMMER_DIP": 0.186,
+    "SUMMER_LOW": 7.425,
+    "SUMMER_ONSET": 5.455,
+    "SUMMER_GATE_SHARPNESS": 4.504,
+    "SUMMER_DECAY_ONSET": 6.915,
+    "SUMMER_DECAY_GATE_SHARPNESS": 13.182,
+    "SUMMER_WIDTH": 27.942,
+    "SUMMER_RISE_WIDTH": 48.424,
+    "SUMMER_FALL_WIDTH": 10.286,
+    "SCALE": 1.174,
+    "YEAR_END_WEIGHT": 0.165,
+    "YEAR_END_PEAK": 12.13,
+    "YEAR_END_WIDTH": 92.974,
+    "YEAR_END_RISE_WIDTH": 174.256,
+    "YEAR_END_FALL_WIDTH": 8.912
+  },
+  "fit": {
+    "score": 0.452
+  },
+  "warnings": [],
+  "summary": "Common Starling is classified as resident with spring persistence and summer suppression. The fitted resident detectability target peaks around February and reaches its lowest point around August. The model indicates strong baseline presence, moderate spring carry-over, strong pre-summer retention, strong summer suppression, and moderate summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/common_starling_consensus.json b/modelling/data/abingdon-birds/resident/common_starling_consensus.json
new file mode 100644
index 0000000..0ee00e7
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/common_starling_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.452",
+  "INITIAL_Y": "1.038",
+  "GROWTH_RATE": "2.162",
+  "DECAY_RATE": "2.649",
+  "SUMMER_DECAY_BOOST": "3.684",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.462",
+  "PRE_SUMMER_DECAY_END": "7.175",
+  "PRE_SUMMER_DECAY_SHARPNESS": "8.584",
+  "SPRING_CARRYOVER_WEIGHT": "0.219",
+  "SPRING_CARRYOVER_END": "7.105",
+  "SPRING_CARRYOVER_SHARPNESS": "16.184",
+  "BASELINE": "0.582",
+  "WINTER_WEIGHT": "0.402",
+  "AUTUMN_WEIGHT": "0.026",
+  "WINTER_PEAK": "1.79",
+  "AUTUMN_PEAK": "10.82",
+  "AUTUMN_ONSET": "9.81",
+  "AUTUMN_GATE_SHARPNESS": "7.708",
+  "WINTER_WIDTH": "10.058",
+  "WINTER_RISE_WIDTH": "6.978",
+  "WINTER_FALL_WIDTH": "10.7",
+  "AUTUMN_WIDTH": "7.958",
+  "AUTUMN_RISE_WIDTH": "8.313",
+  "AUTUMN_FALL_WIDTH": "8.341",
+  "SUMMER_DIP": "0.186",
+  "SUMMER_LOW": "7.425",
+  "SUMMER_ONSET": "5.455",
+  "SUMMER_GATE_SHARPNESS": "4.504",
+  "SUMMER_DECAY_ONSET": "6.915",
+  "SUMMER_DECAY_GATE_SHARPNESS": "13.182",
+  "SUMMER_WIDTH": "27.942",
+  "SUMMER_RISE_WIDTH": "48.424",
+  "SUMMER_FALL_WIDTH": "10.286",
+  "SCALE": "1.174",
+  "YEAR_END_WEIGHT": "0.165",
+  "YEAR_END_PEAK": "12.13",
+  "YEAR_END_WIDTH": "92.974",
+  "YEAR_END_RISE_WIDTH": "174.256",
+  "YEAR_END_FALL_WIDTH": "8.912",
+  "SPECIES": "Common Starling"
+}
diff --git a/modelling/data/abingdon-birds/resident/common_starling_observed.csv b/modelling/data/abingdon-birds/resident/common_starling_observed.csv
new file mode 100644
index 0000000..8c45df9
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/common_starling_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,135
+2,101
+3,109
+4,106
+5,127
+6,99
+7,78
+8,79
+9,87
+10,98
+11,99
+12,121
diff --git a/modelling/data/abingdon-birds/resident/common_starling_parameters.csv b/modelling/data/abingdon-birds/resident/common_starling_parameters.csv
new file mode 100644
index 0000000..31fadb7
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/common_starling_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
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diff --git a/modelling/data/abingdon-birds/resident/common_starling_synthesised.csv b/modelling/data/abingdon-birds/resident/common_starling_synthesised.csv
new file mode 100644
index 0000000..1f3c492
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/common_starling_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
+1,135,1.105133,141.66857488647972
+2,101,1.146743,147.0026201109246
+3,109,0.9869733,126.52151448016305
+4,106,0.8570461999999999,109.86597429076217
+5,127,0.8147527,104.44431022683384
+6,99,0.7997292,102.51842634244433
+7,78,0.5250893,67.31194600029066
+8,79,0.4518889,57.9282823606018
+9,87,0.5404923,69.28647853074307
+10,98,0.5899449,75.625877830584
+11,99,0.6196821,79.43793189567322
+12,121,0.7954699,101.972420602851
diff --git a/modelling/data/abingdon-birds/resident/common_starling_synthesised.png b/modelling/data/abingdon-birds/resident/common_starling_synthesised.png
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HcmV?d00001

diff --git a/modelling/data/abingdon-birds/resident/coot_classification.json b/modelling/data/abingdon-birds/resident/coot_classification.json
new file mode 100644
index 0000000..d1e02b4
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/coot_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Coot",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "weak",
+    "detectability_peak_timing": "winter",
+    "detectability_trough_timing": "autumn",
+    "spring_carryover": "strong",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "moderate",
+    "pre_summer_retention": "strong",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "weak_baseline_presence",
+      "winter_detectability_peak",
+      "autumn_detectability_trough",
+      "strong_spring_carryover",
+      "moderate_summer_suppression",
+      "moderate_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "decline_biased_response_dynamics"
+    ],
+    "confidence": "medium"
+  },
+  "derived_metrics": {
+    "target_peak_month": 2,
+    "target_peak_label": "February",
+    "target_trough_month": 9,
+    "target_trough_label": "September",
+    "target_peak_value": 0.6497519376515021,
+    "target_trough_value": 0.0,
+    "target_mean_value": 0.272580850304194,
+    "target_amplitude": 0.6497519376515021,
+    "baseline_to_peak_ratio": 0.07695244462174697,
+    "autumn_to_winter_weight_ratio": 0.06976744186046512,
+    "year_end_to_winter_weight_ratio": 0.45930232558139533,
+    "decay_to_growth_ratio": 1.321614063124251,
+    "monthly_target": {
+      "January": 0.5159699316858576,
+      "February": 0.6497519376515021,
+      "March": 0.514911138280055,
+      "April": 0.345908698138493,
+      "May": 0.30779982331631744,
+      "June": 0.3060090129623142,
+      "July": 0.2962015011240162,
+      "August": 0.046591044294640206,
+      "September": 0.0,
+      "October": 0.0,
+      "November": 0.051543466033475316,
+      "December": 0.2362836501636566
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.85,
+    "GROWTH_RATE": 2.503,
+    "DECAY_RATE": 3.308,
+    "SUMMER_DECAY_BOOST": 2.998,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.559,
+    "PRE_SUMMER_DECAY_END": 7.0,
+    "PRE_SUMMER_DECAY_SHARPNESS": 9.338,
+    "SPRING_CARRYOVER_WEIGHT": 0.256,
+    "SPRING_CARRYOVER_END": 7.165,
+    "SPRING_CARRYOVER_SHARPNESS": 19.539,
+    "BASELINE": 0.05,
+    "WINTER_WEIGHT": 0.344,
+    "AUTUMN_WEIGHT": 0.024,
+    "WINTER_PEAK": 2.04,
+    "AUTUMN_PEAK": 10.51,
+    "AUTUMN_ONSET": 10.86,
+    "AUTUMN_GATE_SHARPNESS": 6.876,
+    "WINTER_WIDTH": 8.069,
+    "WINTER_RISE_WIDTH": 6.578,
+    "WINTER_FALL_WIDTH": 7.812,
+    "AUTUMN_WIDTH": 6.883,
+    "AUTUMN_RISE_WIDTH": 6.788,
+    "AUTUMN_FALL_WIDTH": 6.294,
+    "SUMMER_DIP": 0.118,
+    "SUMMER_LOW": 9.185,
+    "SUMMER_ONSET": 7.185,
+    "SUMMER_GATE_SHARPNESS": 4.706,
+    "SUMMER_DECAY_ONSET": 7.08,
+    "SUMMER_DECAY_GATE_SHARPNESS": 17.162,
+    "SUMMER_WIDTH": 23.89,
+    "SUMMER_RISE_WIDTH": 36.011,
+    "SUMMER_FALL_WIDTH": 8.19,
+    "SCALE": 1.144,
+    "YEAR_END_WEIGHT": 0.158,
+    "YEAR_END_PEAK": 12.129,
+    "YEAR_END_WIDTH": 88.313,
+    "YEAR_END_RISE_WIDTH": 168.751,
+    "YEAR_END_FALL_WIDTH": 9.57
+  },
+  "fit": {
+    "score": 0.234
+  },
+  "warnings": [],
+  "summary": "Coot is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around February and reaches its lowest point around September. The model indicates weak baseline presence, strong spring carry-over, strong pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/coot_consensus.json b/modelling/data/abingdon-birds/resident/coot_consensus.json
new file mode 100644
index 0000000..c295a9b
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/coot_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.234",
+  "INITIAL_Y": "0.85",
+  "GROWTH_RATE": "2.503",
+  "DECAY_RATE": "3.308",
+  "SUMMER_DECAY_BOOST": "2.998",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.559",
+  "PRE_SUMMER_DECAY_END": "7",
+  "PRE_SUMMER_DECAY_SHARPNESS": "9.338",
+  "SPRING_CARRYOVER_WEIGHT": "0.256",
+  "SPRING_CARRYOVER_END": "7.165",
+  "SPRING_CARRYOVER_SHARPNESS": "19.539",
+  "BASELINE": "0.05",
+  "WINTER_WEIGHT": "0.344",
+  "AUTUMN_WEIGHT": "0.024",
+  "WINTER_PEAK": "2.04",
+  "AUTUMN_PEAK": "10.51",
+  "AUTUMN_ONSET": "10.86",
+  "AUTUMN_GATE_SHARPNESS": "6.876",
+  "WINTER_WIDTH": "8.069",
+  "WINTER_RISE_WIDTH": "6.578",
+  "WINTER_FALL_WIDTH": "7.812",
+  "AUTUMN_WIDTH": "6.883",
+  "AUTUMN_RISE_WIDTH": "6.788",
+  "AUTUMN_FALL_WIDTH": "6.294",
+  "SUMMER_DIP": "0.118",
+  "SUMMER_LOW": "9.185",
+  "SUMMER_ONSET": "7.185",
+  "SUMMER_GATE_SHARPNESS": "4.706",
+  "SUMMER_DECAY_ONSET": "7.08",
+  "SUMMER_DECAY_GATE_SHARPNESS": "17.162",
+  "SUMMER_WIDTH": "23.89",
+  "SUMMER_RISE_WIDTH": "36.011",
+  "SUMMER_FALL_WIDTH": "8.19",
+  "SCALE": "1.144",
+  "YEAR_END_WEIGHT": "0.158",
+  "YEAR_END_PEAK": "12.129",
+  "YEAR_END_WIDTH": "88.313",
+  "YEAR_END_RISE_WIDTH": "168.751",
+  "YEAR_END_FALL_WIDTH": "9.57",
+  "SPECIES": "Coot"
+}
diff --git a/modelling/data/abingdon-birds/resident/coot_observed.csv b/modelling/data/abingdon-birds/resident/coot_observed.csv
new file mode 100644
index 0000000..ee85a19
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/coot_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,6
+2,7
+3,5
+4,3
+5,3
+6,6
+7,1
+8,1
+9,0
+10,1
+11,3
+12,3
diff --git a/modelling/data/abingdon-birds/resident/coot_parameters.csv b/modelling/data/abingdon-birds/resident/coot_parameters.csv
new file mode 100644
index 0000000..535e639
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/coot_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 09:51:44,coot_observed.csv,0.4451754177669453314953584989,0.818,3.403,3.346,2.637,0.124,7.35,8.106,0.218,7.61,26.276,0.038,0.206,0.018,2.2,10.82,11.02,10.921,0.355,0.356,0.354,1.704,1.358,2.051,0.075,10.35,7.89,3.441,7.13,6.544,36.824,55.878,17.769,1.709,0.032,12.147,119.536,229.496,9.577
+2026-05-21 09:51:45,coot_observed.csv,1.143377759634346774050545311,0.713,0.938,4.802,6.984,0.09,6.71,13.536,0.044,7.13,9.887,0.025,0.007,0.034,1.26,10.38,11.42,6.105,10.366,7.518,13.214,7.761,11.067,4.455,0.11,10.21,6.94,7.688,7.59,7.865,27.701,49.967,5.435,1.442,0.307,12.076,103.494,198.118,8.869
+2026-05-21 09:51:45,coot_observed.csv,0.3352350743829518635072083212,0.699,1.322,2.13,2.467,0.296,6.69,11.207,0.109,7.38,12.507,0.04,0.671,0.031,2.45,10.54,10.47,5.603,10.452,10.379,10.526,6.712,11.161,2.263,0.061,8.47,8.05,7.633,7.46,6.641,22.464,31.182,13.746,1.472,0.08,12.244,94.683,176.057,13.309
+2026-05-21 09:51:45,coot_observed.csv,0.1857051247383432302843213291,1.188,3.383,2.42,1.481,0.848,6.99,3.914,0.365,7.12,12.45,0.074,0.378,0.026,3.12,11.64,11.46,2.491,12.585,16.203,8.967,3.886,6.37,1.403,0.234,9.0,7.81,1.766,7.01,22.134,18.046,31.809,4.282,1.096,0.249,12.155,73.868,139.823,7.913
+2026-05-21 09:51:46,coot_observed.csv,0.1810751614788130916737977032,0.91,2.284,1.418,7.319,0.058,6.49,8.15,0.387,7.36,18.958,0.019,0.029,0.039,3.23,9.84,10.82,3.024,8.990,7.63,10.349,5.736,6.983,4.488,0.117,8.66,7.09,2.523,7.29,9.16,40.752,64.216,17.288,1.224,0.21,12.083,124.266,239.266,9.266
+2026-05-21 09:51:46,coot_observed.csv,0.9086348070597390225607883997,1.179,3.026,1.075,7.367,0.505,6.8,7.474,0.353,6.82,10.193,0.014,0.116,0.019,1.16,10.24,10.54,4.778,9.102,8.682,9.523,13.175,13.942,12.408,0.188,9.35,8.24,2.755,7.51,16.114,38.309,57.31,19.308,1.655,0.02,12.05,46.028,84.685,7.37
+2026-05-21 09:51:46,coot_observed.csv,0.6211805844056757135631835088,1.203,2.709,2.347,0.199,0.53,6.63,10.318,0.238,6.89,12.808,0.028,0.375,0.009,1.88,11.51,10.47,2.001,9.057,10.281,7.833,6.664,3.258,10.071,0.023,8.38,7.02,6.692,7.32,17.289,6.766,10.393,3.14,1.595,0.297,12.247,54.184,101.783,6.585
+2026-05-21 09:51:47,coot_observed.csv,2.167134446773466963399268478,0.73,1.087,1.549,1.705,0.586,7.4,10.901,0.432,7.51,21.186,0.088,0.243,0.04,3.31,11.51,11.05,4.783,5.533,1.694,9.372,6.340,1.975,10.705,0.184,8.71,6.69,4.361,6.83,22.781,28.534,48.555,8.512,1.693,0.253,12.003,56.069,104.962,7.176
+2026-05-21 09:51:47,coot_observed.csv,0.2693310157205649674265729407,1.176,2.736,4.387,2.71,0.437,7.2,14.323,0.273,7.18,15.651,0.041,0.279,0.02,1.25,9.94,10.99,10.849,11.314,17.626,5.002,10.170,12.844,7.495,0.223,9.84,7.77,4.255,7.24,22.663,9.938,13.901,5.975,1.365,0.12,12.109,108.395,206.004,10.786
+2026-05-21 09:51:47,coot_observed.csv,0.6075568207131427012096018201,1.146,3.946,0.892,2.443,0.053,7.5,9.892,0.237,6.99,12.067,0.064,0.35,0.026,2.41,9.58,10.59,9.937,9.146,1.965,16.328,12.016,11.487,12.545,0.168,9.43,7.26,3.519,7.16,8.403,29.172,43.246,15.097,1.563,0.0,12.144,106.112,197.646,14.578
+2026-05-21 09:51:48,coot_observed.csv,1.153099426248851709227791148,0.959,1.859,5.5,2.074,0.524,6.33,10.344,0.022,6.69,16.44,0.027,0.231,0.003,1.2,11.38,11.06,2.334,13.482,10.892,16.071,9.985,13.435,6.535,0.167,7.95,7.95,6.304,7.54,17.003,0.402,0.427,0.376,0.978,0.314,12.001,107.050,207.497,6.602
+2026-05-21 09:51:48,coot_observed.csv,1.886526978072274565813424745,0.761,2.79,0.41,0.077,0.746,6.86,12.831,0.136,7.16,23.2,0.037,0.59,0.005,0.67,11.53,10.37,5.88,16.140,15.928,16.352,4.006,7.393,0.62,0.213,9.44,7.66,2.786,7.15,13.793,33.178,65.183,1.173,1.425,0.08,12.022,121.884,235.009,8.76
+2026-05-21 09:51:48,coot_observed.csv,0.2282453064348044484032714498,0.853,0.789,0.057,5.512,0.464,6.64,11.794,0.26,7.48,12.816,0.004,0.297,0.042,2.08,10.14,10.8,7.759,6.976,0.459,13.494,6.328,7.189,5.467,0.062,8.47,8.26,5.807,6.79,18.22,9.068,5.566,12.569,1.04,0.047,12.226,117.494,225.034,9.954
+2026-05-21 09:51:49,coot_observed.csv,17.37323810338932381630501971,1.177,1.952,0.285,4.447,0.686,7.75,7.835,0.382,6.99,10.857,0.074,0.006,0.009,1.68,11.47,11.35,6.016,2.160,0.798,3.521,8.078,3.992,12.163,0.127,10.19,6.05,3.969,6.7,18.161,35.736,55.95,15.521,0.88,0.092,12.085,49.252,84.538,13.965
+2026-05-21 09:51:49,coot_observed.csv,0.5586667516692179749605878517,0.911,1.568,3.824,4.819,0.071,6.51,10.789,0.066,6.57,17.049,0.065,0.052,0.018,2.13,9.96,10.69,10.468,8.538,1.513,15.563,4.580,4.185,4.976,0.06,9.93,7.76,7.763,6.67,14.143,35.752,60.364,11.139,1.577,0.29,12.218,117.512,227.132,7.893
+2026-05-21 09:51:49,coot_observed.csv,0.3274324135583505388755062714,1.117,2.835,3.018,4.631,0.297,7.15,6.607,0.372,6.92,16.908,0.076,0.393,0.011,2.66,11.62,10.59,2.445,8.660,0.434,16.885,5.135,7.889,2.381,0.055,9.6,6.32,4.471,6.77,11.67,16.935,23.361,10.509,1.335,0.077,12.073,86.162,160.245,12.08
+2026-05-21 09:51:50,coot_observed.csv,0.9713189970039385926845420762,0.849,3.979,3.632,3.932,0.222,7.1,14.813,0.262,6.52,22.776,0.047,0.24,0.013,3.39,11.66,10.95,8.752,14.110,15.602,12.617,5.542,7.69,3.394,0.016,9.41,7.98,5.912,7.45,14.31,39.141,63.802,14.48,0.861,0.035,12.298,50.937,88.632,13.242
+2026-05-21 09:51:50,coot_observed.csv,2.003970032455120439719772373,0.629,2.347,3.274,4.973,0.808,7.49,12.876,0.297,6.82,23.819,0.059,0.113,0.041,1.08,10.46,11.43,8.454,6.226,11.862,0.59,5.655,6.087,5.223,0.088,7.63,6.55,6.075,6.91,23.565,25.158,37.283,13.034,1.727,0.003,12.217,48.630,81.925,15.335
+2026-05-21 09:51:50,coot_observed.csv,1.573445621236322268170458495,0.828,3.074,5.125,0.693,0.592,6.42,9.734,0.017,6.5,23.927,0.004,0.072,0.016,1.2,11.33,11.46,11.365,3.197,6.015,0.379,2.366,2.753,1.98,0.077,8.34,7.01,3.925,7.51,14.908,18.851,35.227,2.475,0.823,0.2,12.084,116.072,218.793,13.351
+2026-05-21 09:51:51,coot_observed.csv,1.023740266157749727006965743,0.838,3.476,3.446,3.463,0.569,7.34,4.208,0.264,6.99,8.345,0.019,0.717,0.027,2.06,10.62,10.49,8.199,9.372,9.043,9.702,9.396,10.856,7.935,0.082,8.92,6.62,2.217,6.79,15.919,43.258,73.194,13.321,1.676,0.028,12.271,89.224,171.858,6.591
+2026-05-21 09:51:51,coot_observed.csv,0.4424228121733798909372505100,1.043,1.062,2.695,1.009,0.446,7.19,5.527,0.366,7.56,22.284,0.088,0.251,0.035,2.09,9.53,11.16,10.684,16.624,14.286,18.962,8.911,10.023,7.799,0.077,7.53,6.97,1.994,6.72,7.129,7.832,12.228,3.436,1.564,0.338,12.04,107.204,201.536,12.871
+2026-05-21 09:51:51,coot_observed.csv,0.7978137881036066530912608902,0.896,0.443,4.657,4.385,0.752,7.36,6.53,0.253,7.33,8.771,0.059,0.547,0.0,1.05,11.67,10.47,6.75,13.530,7.796,19.263,13.327,13.473,13.181,0.228,8.35,6.12,6.997,7.55,15.232,37.243,72.904,1.582,1.455,0.239,12.051,118.792,226.313,11.271
+2026-05-21 09:51:52,coot_observed.csv,0.3259792772917301111795171127,1.065,1.186,4.879,2.174,0.665,7.17,13.491,0.399,7.34,13.628,0.054,0.493,0.038,0.85,11.95,11.11,3.113,18.224,18.992,17.455,5.653,9.905,1.401,0.13,9.14,7.38,6.593,7.01,16.732,21.623,23.312,19.934,1.259,0.335,12.122,91.797,174.62,8.974
+2026-05-21 09:51:52,coot_observed.csv,0.5348878706264452600090719584,0.714,0.749,0.786,1.552,0.596,6.54,6.73,0.425,7.32,13.889,0.034,0.226,0.014,2.98,11.38,11.41,10.188,12.687,10.812,14.562,8.926,11.739,6.114,0.143,8.58,6.97,2.736,6.89,18.22,36.486,66.314,6.659,1.304,0.163,12.062,120.386,228.42,12.353
+2026-05-21 09:51:52,coot_observed.csv,0.4419328162368639437413602225,1.02,1.983,5.81,7.792,0.277,7.68,9.979,0.182,7.05,16.575,0.075,0.379,0.044,2.46,9.73,11.18,2.966,11.522,12.246,10.797,5.408,6.136,4.680,0.085,8.78,6.19,3.947,7.21,12.183,32.624,63.872,1.376,1.268,0.022,12.115,103.988,195.015,12.962
+2026-05-21 09:51:53,coot_observed.csv,0.3305547483182248112587085529,1.203,3.479,2.715,4.557,0.194,6.52,3.794,0.183,7.03,6.731,0.077,0.221,0.035,0.57,11.11,11.4,7.344,1.962,1.43,2.495,4.890,3.66,6.119,0.03,9.25,7.56,5.512,7.54,14.013,10.136,9.032,11.239,1.497,0.233,12.056,86.628,159.374,13.881
+2026-05-21 09:51:53,coot_observed.csv,0.5366017148908923850893877975,0.934,2.969,5.749,1.471,0.593,7.61,3.07,0.333,7.64,19.514,0.069,0.499,0.012,0.98,11.34,10.76,8.432,14.148,13.623,14.673,5.200,1.863,8.538,0.145,10.46,6.55,1.395,7.26,18.659,42.604,68.673,16.534,1.273,0.081,12.173,42.512,80.238,4.786
+2026-05-21 09:51:53,coot_observed.csv,0.7243398774641755522212996889,1.026,1.289,5.823,7.709,0.931,7.4,13.399,0.382,7.4,8.159,0.053,0.023,0.011,2.33,10.15,11.22,8.901,17.114,16.204,18.023,11.398,11.910,10.885,0.015,9.68,7.69,7.198,7.51,8.384,25.226,40.825,9.626,1.561,0.065,12.191,109.688,208.314,11.063
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diff --git a/modelling/data/abingdon-birds/resident/coot_synthesised.csv b/modelling/data/abingdon-birds/resident/coot_synthesised.csv
new file mode 100644
index 0000000..3e19b4c
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/coot_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
+1,6,0.7322167,7.2309797114388905
+2,7,0.6501069,6.420107331841013
+3,5,0.5350146,5.283517458593328
+4,3,0.3939404,3.8903442654560068
+5,3,0.32909740000000004,3.2499895488416057
+6,6,0.3113708,3.0749311474792864
+7,1,0.17958277,1.7734631925139055
+8,1,0.036164990999999994,0.35714606916964614
+9,0,0.00061812727,0.0061042936448419014
+10,1,0.004328079703,0.04274179559395935
+11,3,0.055010760000000006,0.5432567837784007
+12,3,0.2252898,2.224841324971317
diff --git a/modelling/data/abingdon-birds/resident/coot_synthesised.png b/modelling/data/abingdon-birds/resident/coot_synthesised.png
new file mode 100644
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diff --git a/modelling/data/abingdon-birds/resident/cormorant_classification.json b/modelling/data/abingdon-birds/resident/cormorant_classification.json
new file mode 100644
index 0000000..7b95aac
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/cormorant_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Cormorant",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "weak",
+    "detectability_peak_timing": "winter",
+    "detectability_trough_timing": "summer",
+    "spring_carryover": "weak",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "moderate",
+    "pre_summer_retention": "strong",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "weak_baseline_presence",
+      "winter_detectability_peak",
+      "summer_detectability_trough",
+      "weak_spring_carryover",
+      "moderate_summer_suppression",
+      "moderate_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "decline_biased_response_dynamics"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "target_peak_month": 2,
+    "target_peak_label": "February",
+    "target_trough_month": 7,
+    "target_trough_label": "July",
+    "target_peak_value": 0.4645468966315792,
+    "target_trough_value": 0.0,
+    "target_mean_value": 0.15966405215719734,
+    "target_amplitude": 0.4645468966315792,
+    "baseline_to_peak_ratio": 0.11624230059775015,
+    "autumn_to_winter_weight_ratio": 0.082687338501292,
+    "year_end_to_winter_weight_ratio": 0.42377260981912146,
+    "decay_to_growth_ratio": 1.4839527027027026,
+    "monthly_target": {
+      "January": 0.41156285373699997,
+      "February": 0.4645468966315792,
+      "March": 0.23329056358938222,
+      "April": 0.113994817406412,
+      "May": 0.1021644544250188,
+      "June": 0.07169554838666081,
+      "July": 0.0,
+      "August": 0.01391969522807205,
+      "September": 0.05184172899060768,
+      "October": 0.06575676647597495,
+      "November": 0.09409221485618724,
+      "December": 0.293103086159473
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 1.094,
+    "GROWTH_RATE": 2.368,
+    "DECAY_RATE": 3.514,
+    "SUMMER_DECAY_BOOST": 3.432,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.52,
+    "PRE_SUMMER_DECAY_END": 7.06,
+    "PRE_SUMMER_DECAY_SHARPNESS": 10.742,
+    "SPRING_CARRYOVER_WEIGHT": 0.048,
+    "SPRING_CARRYOVER_END": 7.005,
+    "SPRING_CARRYOVER_SHARPNESS": 16.631,
+    "BASELINE": 0.054,
+    "WINTER_WEIGHT": 0.387,
+    "AUTUMN_WEIGHT": 0.032,
+    "WINTER_PEAK": 1.67,
+    "AUTUMN_PEAK": 10.985,
+    "AUTUMN_ONSET": 9.95,
+    "AUTUMN_GATE_SHARPNESS": 7.453,
+    "WINTER_WIDTH": 8.942,
+    "WINTER_RISE_WIDTH": 7.232,
+    "WINTER_FALL_WIDTH": 8.734,
+    "AUTUMN_WIDTH": 7.538,
+    "AUTUMN_RISE_WIDTH": 7.237,
+    "AUTUMN_FALL_WIDTH": 8.128,
+    "SUMMER_DIP": 0.138,
+    "SUMMER_LOW": 6.74,
+    "SUMMER_ONSET": 5.115,
+    "SUMMER_GATE_SHARPNESS": 4.326,
+    "SUMMER_DECAY_ONSET": 7.155,
+    "SUMMER_DECAY_GATE_SHARPNESS": 15.867,
+    "SUMMER_WIDTH": 23.735,
+    "SUMMER_RISE_WIDTH": 39.568,
+    "SUMMER_FALL_WIDTH": 11.154,
+    "SCALE": 1.424,
+    "YEAR_END_WEIGHT": 0.164,
+    "YEAR_END_PEAK": 12.156,
+    "YEAR_END_WIDTH": 80.72,
+    "YEAR_END_RISE_WIDTH": 146.312,
+    "YEAR_END_FALL_WIDTH": 11.258
+  },
+  "fit": {
+    "score": 0.154
+  },
+  "warnings": [],
+  "summary": "Cormorant is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around February and reaches its lowest point around July. The model indicates weak baseline presence, weak spring carry-over, strong pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/cormorant_consensus.json b/modelling/data/abingdon-birds/resident/cormorant_consensus.json
new file mode 100644
index 0000000..056ea10
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/cormorant_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.154",
+  "INITIAL_Y": "1.094",
+  "GROWTH_RATE": "2.368",
+  "DECAY_RATE": "3.514",
+  "SUMMER_DECAY_BOOST": "3.432",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.52",
+  "PRE_SUMMER_DECAY_END": "7.06",
+  "PRE_SUMMER_DECAY_SHARPNESS": "10.742",
+  "SPRING_CARRYOVER_WEIGHT": "0.048",
+  "SPRING_CARRYOVER_END": "7.005",
+  "SPRING_CARRYOVER_SHARPNESS": "16.631",
+  "BASELINE": "0.054",
+  "WINTER_WEIGHT": "0.387",
+  "AUTUMN_WEIGHT": "0.032",
+  "WINTER_PEAK": "1.67",
+  "AUTUMN_PEAK": "10.985",
+  "AUTUMN_ONSET": "9.95",
+  "AUTUMN_GATE_SHARPNESS": "7.453",
+  "WINTER_WIDTH": "8.942",
+  "WINTER_RISE_WIDTH": "7.232",
+  "WINTER_FALL_WIDTH": "8.734",
+  "AUTUMN_WIDTH": "7.538",
+  "AUTUMN_RISE_WIDTH": "7.237",
+  "AUTUMN_FALL_WIDTH": "8.128",
+  "SUMMER_DIP": "0.138",
+  "SUMMER_LOW": "6.74",
+  "SUMMER_ONSET": "5.115",
+  "SUMMER_GATE_SHARPNESS": "4.326",
+  "SUMMER_DECAY_ONSET": "7.155",
+  "SUMMER_DECAY_GATE_SHARPNESS": "15.867",
+  "SUMMER_WIDTH": "23.735",
+  "SUMMER_RISE_WIDTH": "39.568",
+  "SUMMER_FALL_WIDTH": "11.154",
+  "SCALE": "1.424",
+  "YEAR_END_WEIGHT": "0.164",
+  "YEAR_END_PEAK": "12.156",
+  "YEAR_END_WIDTH": "80.72",
+  "YEAR_END_RISE_WIDTH": "146.312",
+  "YEAR_END_FALL_WIDTH": "11.258",
+  "SPECIES": "Cormorant"
+}
diff --git a/modelling/data/abingdon-birds/resident/cormorant_observed.csv b/modelling/data/abingdon-birds/resident/cormorant_observed.csv
new file mode 100644
index 0000000..a1e1c84
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/cormorant_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,24
+2,10
+3,12
+4,9
+5,6
+6,2
+7,1
+8,4
+9,4
+10,4
+11,8
+12,7
diff --git a/modelling/data/abingdon-birds/resident/cormorant_parameters.csv b/modelling/data/abingdon-birds/resident/cormorant_parameters.csv
new file mode 100644
index 0000000..c95e62e
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/cormorant_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 09:52:50,cormorant_observed.csv,0.7538192522625874378783138736,0.842,0.586,4.614,6.919,0.679,7.61,4.037,0.023,7.48,17.058,0.065,0.278,0.008,2.25,9.93,8.31,9.146,3.724,2.109,5.338,7.376,7.541,7.21,0.25,7.05,4.57,6.95,7.58,9.631,22.924,38.337,7.512,0.948,0.015,12.138,58.204,111.248,5.16
+2026-05-21 09:52:50,cormorant_observed.csv,0.1827857819532154586562010797,1.228,2.56,1.897,6.392,0.718,6.73,15.61,0.013,7.5,25.242,0.015,0.02,0.037,12.0,11.55,9.92,2.317,10.423,15.22,5.626,7.728,11.676,3.781,0.053,5.9,6.47,6.77,6.79,13.393,11.836,11.415,12.256,1.295,0.305,12.173,78.804,144.886,12.722
+2026-05-21 09:52:51,cormorant_observed.csv,2.178920723363750010378739757,1.197,3.233,4.706,7.681,0.21,7.42,8.879,0.045,7.06,6.751,0.031,0.539,0.031,11.51,11.13,9.52,11.988,17.610,15.436,19.784,4.838,4.590,5.086,0.073,7.07,6.05,7.851,6.63,11.136,40.934,70.103,11.765,0.969,0.19,12.163,83.120,151.399,14.84
+2026-05-21 09:52:51,cormorant_observed.csv,1.658686705230682404996690133,1.149,3.989,3.005,0.439,0.8,6.81,10.196,0.072,7.22,19.747,0.063,0.654,0.005,11.55,11.07,8.32,11.177,11.182,12.021,10.343,11.814,10.222,13.405,0.035,8.46,4.18,1.28,7.4,17.024,28.691,42.147,15.235,1.525,0.328,12.259,69.501,126.005,12.997
+2026-05-21 09:52:51,cormorant_observed.csv,0.7122286605627874014852537130,1.002,3.905,5.544,0.407,0.053,7.57,12.34,0.004,7.49,10.879,0.048,0.27,0.029,2.5,11.45,11.08,7.268,4.386,1.81,6.961,11.913,10.949,12.877,0.184,7.25,5.72,5.811,6.62,7.774,27.897,47.467,8.327,1.464,0.055,12.174,71.790,135.817,7.762
+2026-05-21 09:52:52,cormorant_observed.csv,0.4137780833587060372897829542,1.298,2.094,0.052,2.708,0.781,6.48,12.273,0.056,7.07,16.593,0.037,0.688,0.037,11.87,11.78,9.87,5.875,9.534,2.894,16.173,7.128,6.596,7.659,0.123,6.97,4.12,7.523,7.57,19.305,44.973,78.264,11.682,0.854,0.308,12.011,42.934,81.797,4.072
+2026-05-21 09:52:52,cormorant_observed.csv,1.638673306896255030292646622,0.975,2.009,4.236,7.161,0.688,6.31,7.061,0.014,7.61,19.652,0.055,0.584,0.019,11.96,10.54,10.08,10.68,10.297,2.264,18.33,8.718,5.55,11.887,0.195,7.44,4.78,1.65,7.49,23.408,18.310,34.19,2.429,1.313,0.322,12.019,107.697,200.965,14.429
+2026-05-21 09:52:52,cormorant_observed.csv,0.4885433406955828295630594392,1.109,2.922,0.819,4.456,0.339,6.94,8.645,0.009,6.74,21.848,0.055,0.089,0.025,1.18,10.16,10.14,10.871,14.313,15.481,13.145,4.029,2.579,5.479,0.15,7.41,5.44,3.816,7.1,7.618,30.627,57.53,3.724,0.992,0.107,12.26,79.214,152.328,6.099
+2026-05-21 09:52:53,cormorant_observed.csv,1.354244252891159354352977428,1.3,1.492,5.673,2.604,0.035,6.73,4.607,0.085,7.18,24.135,0.059,0.605,0.008,11.66,11.78,9.22,7.599,9.198,10.45,7.945,6.796,8.502,5.091,0.192,6.83,4.6,4.372,6.93,16.929,25.570,50.426,0.715,1.359,0.207,12.266,107.108,199.602,14.615
+2026-05-21 09:52:53,cormorant_observed.csv,0.3614486902159122569380421625,1.207,0.512,1.162,7.137,0.259,7.46,11.46,0.095,6.9,8.301,0.051,0.64,0.033,1.76,11.05,8.9,3.914,7.054,7.262,6.845,8.904,10.914,6.893,0.117,5.99,6.29,6.455,6.67,16.546,13.232,10.162,16.302,1.013,0.268,12.234,45.748,85.873,5.623
+2026-05-21 09:52:53,cormorant_observed.csv,0.7419730978236591756951772035,0.968,1.88,2.826,1.769,0.942,6.79,8.091,0.097,6.87,15.459,0.043,0.227,0.013,11.79,10.85,11.18,6.126,18.528,17.055,20.000,2.746,3.948,1.545,0.045,7.23,5.72,5.334,7.11,19.751,15.643,29.79,1.496,1.595,0.188,12.031,100.645,191.661,9.629
+2026-05-21 09:52:54,cormorant_observed.csv,5.709882493385001411160280825,0.83,2.769,3.796,7.432,0.759,7.23,15.942,0.001,7.01,7.658,0.061,0.512,0.044,11.51,11.79,9.52,3.795,7.348,3.781,10.915,6.116,9.192,3.039,0.221,6.61,5.53,4.326,7.02,21.516,31.216,54.801,7.631,1.72,0.207,12.298,71.895,128.252,15.538
+2026-05-21 09:52:54,cormorant_observed.csv,1.819992421568912769603131270,1.177,1.346,4.26,5.182,0.054,7.08,11.345,0.059,7.32,12.064,0.035,0.611,0.017,11.79,9.65,9.43,10.618,14.220,12.523,15.917,6.680,6.538,6.821,0.044,7.12,4.56,4.488,7.44,8.433,35.264,62.21,8.317,1.036,0.021,12.134,106.762,204.385,9.14
+2026-05-21 09:52:54,cormorant_observed.csv,0.6779004210332359498698651433,0.885,3.378,0.983,6.695,0.79,7.57,4.267,0.035,6.75,7.465,0.06,0.271,0.001,2.3,10.76,8.59,6.086,0.422,0.476,0.369,9.770,13.572,5.968,0.116,8.49,5.13,3.441,6.98,10.165,14.824,21.867,7.782,1.441,0.123,12.068,57.886,108.24,7.532
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diff --git a/modelling/data/abingdon-birds/resident/cormorant_simulated.csv b/modelling/data/abingdon-birds/resident/cormorant_simulated.csv
new file mode 100644
index 0000000..8e7812b
--- /dev/null
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diff --git a/modelling/data/abingdon-birds/resident/cormorant_synthesised.csv b/modelling/data/abingdon-birds/resident/cormorant_synthesised.csv
new file mode 100644
index 0000000..8637142
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/cormorant_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-birds/resident/cormorant_synthesised.png b/modelling/data/abingdon-birds/resident/cormorant_synthesised.png
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HcmV?d00001

diff --git a/modelling/data/abingdon-birds/resident/crow_classification.json b/modelling/data/abingdon-birds/resident/crow_classification.json
new file mode 100644
index 0000000..dc8f86e
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/crow_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Crow",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_spring_persistence_and_summer_suppression",
+    "baseline_presence": "strong",
+    "detectability_peak_timing": "winter",
+    "detectability_trough_timing": "summer",
+    "spring_carryover": "moderate",
+    "summer_suppression": "strong",
+    "summer_decay_acceleration": "strong",
+    "pre_summer_retention": "moderate",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "strong_baseline_presence",
+      "winter_detectability_peak",
+      "summer_detectability_trough",
+      "moderate_spring_carryover",
+      "strong_summer_suppression",
+      "strong_summer_decay_acceleration",
+      "moderate_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "low"
+  },
+  "derived_metrics": {
+    "target_peak_month": 2,
+    "target_peak_label": "February",
+    "target_trough_month": 8,
+    "target_trough_label": "August",
+    "target_peak_value": 1.0232270907091443,
+    "target_trough_value": 0.4883750327392263,
+    "target_mean_value": 0.7581203409781896,
+    "target_amplitude": 0.534852057969918,
+    "baseline_to_peak_ratio": 0.6450181059441938,
+    "autumn_to_winter_weight_ratio": 0.1141732283464567,
+    "year_end_to_winter_weight_ratio": 0.5984251968503937,
+    "decay_to_growth_ratio": 1.360093896713615,
+    "monthly_target": {
+      "January": 0.8935750542504153,
+      "February": 1.0232270907091443,
+      "March": 0.896201695169356,
+      "April": 0.7812305784524198,
+      "May": 0.77011770239967,
+      "June": 0.7699997387677084,
+      "July": 0.7542232636890861,
+      "August": 0.4883750327392263,
+      "September": 0.5744662563240791,
+      "October": 0.6489514520238049,
+      "November": 0.6887934952330353,
+      "December": 0.8082827319803292
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 1.033,
+    "GROWTH_RATE": 2.13,
+    "DECAY_RATE": 2.897,
+    "SUMMER_DECAY_BOOST": 4.224,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.381,
+    "PRE_SUMMER_DECAY_END": 6.935,
+    "PRE_SUMMER_DECAY_SHARPNESS": 10.183,
+    "SPRING_CARRYOVER_WEIGHT": 0.11,
+    "SPRING_CARRYOVER_END": 7.225,
+    "SPRING_CARRYOVER_SHARPNESS": 17.22,
+    "BASELINE": 0.66,
+    "WINTER_WEIGHT": 0.254,
+    "AUTUMN_WEIGHT": 0.029,
+    "WINTER_PEAK": 2.07,
+    "AUTUMN_PEAK": 10.97,
+    "AUTUMN_ONSET": 10.36,
+    "AUTUMN_GATE_SHARPNESS": 7.895,
+    "WINTER_WIDTH": 10.206,
+    "WINTER_RISE_WIDTH": 9.074,
+    "WINTER_FALL_WIDTH": 11.682,
+    "AUTUMN_WIDTH": 6.536,
+    "AUTUMN_RISE_WIDTH": 6.237,
+    "AUTUMN_FALL_WIDTH": 8.151,
+    "SUMMER_DIP": 0.173,
+    "SUMMER_LOW": 7.895,
+    "SUMMER_ONSET": 6.415,
+    "SUMMER_GATE_SHARPNESS": 4.02,
+    "SUMMER_DECAY_ONSET": 7.065,
+    "SUMMER_DECAY_GATE_SHARPNESS": 14.336,
+    "SUMMER_WIDTH": 25.775,
+    "SUMMER_RISE_WIDTH": 44.337,
+    "SUMMER_FALL_WIDTH": 8.298,
+    "SCALE": 1.348,
+    "YEAR_END_WEIGHT": 0.152,
+    "YEAR_END_PEAK": 12.162,
+    "YEAR_END_WIDTH": 78.144,
+    "YEAR_END_RISE_WIDTH": 145.342,
+    "YEAR_END_FALL_WIDTH": 8.6
+  },
+  "fit": {
+    "score": 0.477
+  },
+  "warnings": [],
+  "summary": "Crow is classified as resident with spring persistence and summer suppression. The fitted resident detectability target peaks around February and reaches its lowest point around August. The model indicates strong baseline presence, moderate spring carry-over, moderate pre-summer retention, strong summer suppression, and strong summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/crow_consensus.json b/modelling/data/abingdon-birds/resident/crow_consensus.json
new file mode 100644
index 0000000..5a25fb9
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/crow_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.477",
+  "INITIAL_Y": "1.033",
+  "GROWTH_RATE": "2.13",
+  "DECAY_RATE": "2.897",
+  "SUMMER_DECAY_BOOST": "4.224",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.381",
+  "PRE_SUMMER_DECAY_END": "6.935",
+  "PRE_SUMMER_DECAY_SHARPNESS": "10.183",
+  "SPRING_CARRYOVER_WEIGHT": "0.11",
+  "SPRING_CARRYOVER_END": "7.225",
+  "SPRING_CARRYOVER_SHARPNESS": "17.22",
+  "BASELINE": "0.66",
+  "WINTER_WEIGHT": "0.254",
+  "AUTUMN_WEIGHT": "0.029",
+  "WINTER_PEAK": "2.07",
+  "AUTUMN_PEAK": "10.97",
+  "AUTUMN_ONSET": "10.36",
+  "AUTUMN_GATE_SHARPNESS": "7.895",
+  "WINTER_WIDTH": "10.206",
+  "WINTER_RISE_WIDTH": "9.074",
+  "WINTER_FALL_WIDTH": "11.682",
+  "AUTUMN_WIDTH": "6.536",
+  "AUTUMN_RISE_WIDTH": "6.237",
+  "AUTUMN_FALL_WIDTH": "8.151",
+  "SUMMER_DIP": "0.173",
+  "SUMMER_LOW": "7.895",
+  "SUMMER_ONSET": "6.415",
+  "SUMMER_GATE_SHARPNESS": "4.02",
+  "SUMMER_DECAY_ONSET": "7.065",
+  "SUMMER_DECAY_GATE_SHARPNESS": "14.336",
+  "SUMMER_WIDTH": "25.775",
+  "SUMMER_RISE_WIDTH": "44.337",
+  "SUMMER_FALL_WIDTH": "8.298",
+  "SCALE": "1.348",
+  "YEAR_END_WEIGHT": "0.152",
+  "YEAR_END_PEAK": "12.162",
+  "YEAR_END_WIDTH": "78.144",
+  "YEAR_END_RISE_WIDTH": "145.342",
+  "YEAR_END_FALL_WIDTH": "8.6",
+  "SPECIES": "Crow"
+}
diff --git a/modelling/data/abingdon-birds/resident/crow_observed.csv b/modelling/data/abingdon-birds/resident/crow_observed.csv
new file mode 100644
index 0000000..c41bcc8
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/crow_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,170
+2,147
+3,162
+4,147
+5,142
+6,113
+7,127
+8,105
+9,121
+10,129
+11,137
+12,142
diff --git a/modelling/data/abingdon-birds/resident/crow_parameters.csv b/modelling/data/abingdon-birds/resident/crow_parameters.csv
new file mode 100644
index 0000000..8b6b201
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/crow_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 09:53:54,crow_observed.csv,0.8971438642649507632128343200,1.008,3.581,3.313,3.994,0.761,7.07,14.106,0.005,6.75,10.066,0.525,0.277,0.025,1.64,11.71,10.52,5.782,9.960,18.392,1.527,3.493,1.06,5.926,0.237,7.58,6.08,2.238,7.31,10.776,43.348,79.419,7.276,1.638,0.134,12.266,117.260,230.335,4.184
+2026-05-21 09:53:54,crow_observed.csv,0.7895724974888417556652884153,1.343,0.733,1.989,4.997,0.147,6.47,13.699,0.092,7.03,11.021,0.671,0.324,0.039,1.16,11.18,10.73,5.026,12.199,14.017,10.381,5.497,9.756,1.238,0.062,8.63,5.43,2.718,7.47,18.591,48.408,78.374,18.443,1.344,0.005,12.109,55.596,95.975,15.216
+2026-05-21 09:53:55,crow_observed.csv,0.6566129137116156437655297233,1.321,0.278,5.164,0.223,0.064,7.12,15.412,0.215,7.63,11.324,0.819,0.565,0.028,2.48,11.1,11.42,4.166,9.994,17.189,2.8,5.106,7.366,2.845,0.181,7.39,6.36,6.999,7.31,8.348,32.824,58.746,6.903,1.64,0.053,12.152,88.504,161.447,15.56
+2026-05-21 09:53:55,crow_observed.csv,0.4150465516018397118645091645,0.954,2.714,5.09,0.016,0.09,6.34,8.324,0.191,7.5,14.614,0.448,0.033,0.047,11.76,11.09,9.31,6.403,12.036,5.873,18.198,11.396,9.768,13.025,0.07,8.22,5.59,7.011,7.41,15.28,35.537,70.644,0.43,1.679,0.131,12.226,59.046,113.787,4.306
+2026-05-21 09:53:55,crow_observed.csv,0.9844893973483563874660017105,1.17,3.701,3.057,1.28,0.665,7.65,4.592,0.007,6.85,14.562,0.542,0.501,0.017,11.99,11.08,9.94,10.446,8.508,1.219,15.796,6.140,9.37,2.91,0.101,7.76,5.92,5.935,7.18,14.807,21.784,42.304,1.263,1.364,0.148,12.276,58.727,107.111,10.343
+2026-05-21 09:53:56,crow_observed.csv,0.5862438613797181054896264077,1.238,2.066,1.718,4.329,0.598,7.43,12.788,0.147,7.03,27.709,0.643,0.571,0.025,1.4,11.83,9.93,2.354,3.333,2.849,3.817,8.814,4.712,12.915,0.056,6.86,5.42,2.846,7.01,13.745,19.700,27.038,12.362,0.97,0.23,12.051,73.045,139.573,6.517
+2026-05-21 09:53:56,crow_observed.csv,1.126644283773142276653929057,0.893,0.29,1.337,3.043,0.625,6.64,9.648,0.084,6.57,20.055,0.83,0.023,0.001,11.92,11.59,10.62,10.193,11.458,5.075,17.842,9.332,12.509,6.154,0.064,6.84,6.17,1.363,6.67,7.017,35.866,54.431,17.301,1.536,0.254,12.198,100.421,195.996,4.846
+2026-05-21 09:53:56,crow_observed.csv,0.4351195490723343488383383232,1.029,2.022,4.354,5.481,0.814,7.15,11.112,0.046,7.45,17.464,0.554,0.278,0.026,11.95,10.61,10.27,7.893,17.945,16.652,19.238,5.290,1.477,9.102,0.142,8.07,5.68,1.845,6.9,16.531,26.512,40.077,12.946,1.307,0.204,12.278,78.630,143.486,13.773
+2026-05-21 09:53:57,crow_observed.csv,1.776219724886738208264533493,0.975,0.44,2.783,6.227,0.332,6.33,15.85,0.17,7.53,12.105,0.493,0.318,0.033,1.47,11.53,11.21,5.257,3.620,4.528,2.712,7.129,6.295,7.963,0.134,9.03,5.61,1.163,6.85,18.646,10.219,7.057,13.381,1.701,0.282,12.265,82.422,159.956,4.889
+2026-05-21 09:53:57,crow_observed.csv,0.5585200237838195538948350974,1.062,0.681,2.347,6.647,0.206,7.44,11.957,0.102,7.27,15.041,0.468,0.215,0.044,2.25,1.01,10.7,8.449,12.692,16.013,9.37,4.325,4.277,4.373,0.162,7.48,6.64,0.982,7.3,8.926,26.492,49.328,3.657,1.471,0.189,12.295,110.844,210.558,11.129
+2026-05-21 09:53:57,crow_observed.csv,0.6640475595497758682866171203,1.23,2.08,2.432,2.677,0.157,7.74,13.953,0.155,6.83,7.277,0.408,0.618,0.011,2.17,1.14,10.95,6.389,8.774,11.354,6.193,8.769,6.63,10.908,0.144,8.19,7.44,4.4,6.65,18.637,8.035,0.988,15.082,1.096,0.3,12.218,76.778,146.204,7.351
+2026-05-21 09:53:58,crow_observed.csv,0.6412536181607248306833715782,0.834,0.783,4.555,3.739,0.935,7.53,10.125,0.102,6.77,25.254,0.507,0.118,0.023,2.2,11.69,10.39,10.872,5.912,5.938,5.887,8.889,9.848,7.93,0.016,9.13,6.33,6.972,7.46,20.709,25.804,45.27,6.338,1.126,0.01,12.143,71.217,129.22,13.214
+2026-05-21 09:53:58,crow_observed.csv,0.7093285166894727852689264443,1.29,3.603,3.598,0.196,0.881,6.56,12.963,0.208,7.55,18.035,0.713,0.387,0.001,1.09,11.69,10.77,5.966,11.726,13.213,10.238,2.458,2.698,2.218,0.127,8.34,7.3,3.183,7.15,19.529,4.937,9.021,0.853,0.834,0.32,12.16,80.274,154.753,5.795
+2026-05-21 09:53:58,crow_observed.csv,0.6787992731962590254857645622,0.802,1.2,0.251,6.231,0.112,7.37,12.522,0.113,7.64,22.701,0.447,0.647,0.001,11.94,11.82,9.64,6.766,13.954,9.203,18.704,6.635,11.28,1.99,0.077,9.29,7.24,1.286,7.51,16.801,24.868,38.043,11.693,1.548,0.144,12.085,59.815,108.829,10.801
+2026-05-21 09:53:59,crow_observed.csv,0.8429741888854345925749396280,0.77,3.911,4.6,2.473,0.738,7.66,9.718,0.054,6.75,20.48,0.6,0.402,0.002,1.21,10.65,9.91,2.128,12.976,17.272,8.679,7.327,13.596,1.058,0.048,8.56,6.01,7.256,6.8,22.81,25.280,32.064,18.495,1.164,0.333,12.073,94.718,176.843,12.593
+2026-05-21 09:53:59,crow_observed.csv,0.8697141569969663036824148492,1.329,0.442,0.65,4.931,0.01,7.04,6.031,0.111,7.44,19.148,0.373,0.475,0.019,11.56,11.4,10.83,2.698,17.748,15.610,19.885,12.054,11.762,12.347,0.055,8.92,6.92,5.934,7.53,12.985,9.448,14.091,4.806,1.718,0.175,12.025,77.796,147.082,8.509
+2026-05-21 09:53:59,crow_observed.csv,0.4195643783359779458530564983,1.17,2.286,2.73,3.495,0.234,7.71,5.683,0.186,7.44,9.651,0.798,0.46,0.032,2.13,1.22,9.9,8.871,16.656,14.432,18.881,2.920,3.076,2.765,0.247,7.39,6.24,7.42,7.32,10.108,12.112,7.002,17.223,1.257,0.05,12.277,119.177,229.046,9.308
+2026-05-21 09:54:00,crow_observed.csv,0.6919227866396915861371337947,1.137,2.19,5.235,3.346,0.268,7.66,5.152,0.083,7.19,18.485,0.506,0.481,0.03,1.21,10.67,10.82,5.457,6.892,4.913,8.871,6.729,7.82,5.638,0.12,7.11,6.63,3.867,6.66,11.322,29.814,40.834,18.793,1.116,0.329,12.132,121.178,236.012,6.345
+2026-05-21 09:54:00,crow_observed.csv,0.4369824250025840116932024934,1.134,1.305,5.834,2.145,0.612,7.04,8.468,0.016,7.23,19.929,0.463,0.227,0.032,2.16,1.05,9.5,8.219,3.758,6.739,0.776,2.539,0.983,4.095,0.226,6.6,6.94,5.348,7.15,7.852,14.202,17.249,11.155,1.79,0.136,12.239,77.598,148.452,6.745
+2026-05-21 09:54:00,crow_observed.csv,0.8630580635401941354109616061,1.203,3.904,1.638,7.745,0.138,7.64,13.915,0.139,6.84,14.217,0.446,0.324,0.012,1.58,11.42,11.4,3.504,12.001,12.666,11.336,13.044,13.112,12.976,0.034,7.22,6.28,7.72,7.4,9.928,1.346,1.08,1.611,1.189,0.145,12.16,97.510,187.765,7.254
+2026-05-21 09:54:00,crow_observed.csv,0.8810169567445344952776804475,1.314,0.992,1.395,1.276,0.133,7.24,13.085,0.128,6.62,23.184,0.813,0.249,0.05,1.86,1.39,10.88,8.044,13.336,6.779,19.892,10.101,9.703,10.499,0.247,9.38,6.23,4.268,6.67,14.806,16.707,20.74,12.674,0.835,0.231,12.042,49.184,93.901,4.468
+2026-05-21 09:54:01,crow_observed.csv,2.095305460195380428901563588,0.982,2.123,0.998,1.854,0.401,6.88,7.247,0.165,6.84,15.271,0.702,0.594,0.013,2.43,10.81,10.7,5.246,14.506,16.931,12.08,5.518,4.884,6.153,0.13,6.96,7.17,6.385,7.14,13.732,21.409,26.747,16.071,0.894,0.286,12.12,54.958,102.509,7.407
+2026-05-21 09:54:01,crow_observed.csv,1.079007839402818987290001442,0.963,3.403,4.33,0.98,0.608,6.9,8.374,0.132,7.51,22.257,0.586,0.111,0.008,11.99,11.44,10.9,10.934,17.581,19.346,15.816,1.742,2.677,0.807,0.185,7.53,5.2,1.468,6.83,19.078,32.478,58.875,6.081,1.785,0.306,12.23,46.591,86.152,7.03
+2026-05-21 09:54:01,crow_observed.csv,0.9786552897238647131419859523,0.886,2.632,2.254,1.778,0.101,7.23,11.195,0.018,6.56,23.075,0.763,0.381,0.03,2.08,11.09,11.3,8.208,15.327,12.589,18.065,7.482,3.344,11.621,0.057,7.94,6.32,1.192,7.17,9.643,29.698,50.897,8.498,1.297,0.041,12.275,119.629,228.399,10.859
+2026-05-21 09:54:02,crow_observed.csv,0.9677126256081952040595635846,0.895,3.13,5.502,5.911,0.409,7.41,9.816,0.076,6.52,23.69,0.5,0.036,0.016,1.62,11.69,10.25,2.059,7.776,13.279,2.274,10.890,9.54,12.24,0.079,8.07,7.07,6.423,7.4,7.06,44.521,69.735,19.307,1.135,0.253,12.06,121.387,236.39,6.384
+2026-05-21 09:54:02,crow_observed.csv,1.532348977415510532538344902,1.151,2.386,5.754,5.18,0.501,7.52,3.607,0.033,7.28,18.492,0.471,0.515,0.016,1.08,11.91,10.42,9.474,8.128,6.024,10.231,6.081,4.329,7.833,0.211,7.49,6.3,6.715,6.92,17.465,34.787,50.518,19.056,1.792,0.04,12.123,46.484,87.442,5.527
+2026-05-21 09:54:02,crow_observed.csv,0.8880122922898115898599212008,1.218,3.135,2.17,4.552,0.639,7.66,15.57,0.007,7.34,26.763,0.461,0.45,0.011,1.9,11.06,9.39,8.72,16.860,16.052,17.667,2.728,2.164,3.292,0.107,8.72,5.58,6.459,7.52,9.693,29.968,43.076,16.861,1.099,0.021,12.287,123.592,236.184,10.999
+2026-05-21 09:54:03,crow_observed.csv,0.9896654997592566786785581617,0.985,3.309,5.159,0.598,0.675,6.54,7.947,0.199,6.66,13.928,0.81,0.461,0.021,2.43,1.36,11.15,11.133,2.616,2.827,2.406,2.794,2.107,3.48,0.006,6.84,5.82,5.896,6.99,13.174,10.560,9.356,11.763,1.013,0.243,12.076,44.058,80.157,7.96
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diff --git a/modelling/data/abingdon-birds/resident/crow_synthesised.csv b/modelling/data/abingdon-birds/resident/crow_synthesised.csv
new file mode 100644
index 0000000..9fc0136
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/crow_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-birds/resident/crow_synthesised.png b/modelling/data/abingdon-birds/resident/crow_synthesised.png
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diff --git a/modelling/data/abingdon-birds/resident/dunnock_classification.json b/modelling/data/abingdon-birds/resident/dunnock_classification.json
new file mode 100644
index 0000000..0af0627
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/dunnock_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Dunnock",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "strong",
+    "detectability_peak_timing": "spring",
+    "detectability_trough_timing": "autumn",
+    "spring_carryover": "weak",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "moderate",
+    "pre_summer_retention": "strong",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "strong_baseline_presence",
+      "spring_detectability_peak",
+      "autumn_detectability_trough",
+      "weak_spring_carryover",
+      "moderate_summer_suppression",
+      "moderate_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "target_peak_month": 3,
+    "target_peak_label": "March",
+    "target_trough_month": 9,
+    "target_trough_label": "September",
+    "target_peak_value": 0.8207638758424917,
+    "target_trough_value": 0.21065390850126253,
+    "target_mean_value": 0.43861540264734467,
+    "target_amplitude": 0.6101099673412291,
+    "baseline_to_peak_ratio": 0.3728234258432724,
+    "autumn_to_winter_weight_ratio": 0.046464646464646465,
+    "year_end_to_winter_weight_ratio": 0.4121212121212121,
+    "decay_to_growth_ratio": 1.343807763401109,
+    "monthly_target": {
+      "January": 0.3839029367485618,
+      "February": 0.5301768318107837,
+      "March": 0.8207638758424917,
+      "April": 0.7661287283574738,
+      "May": 0.46898141603003707,
+      "June": 0.3738835683898542,
+      "July": 0.34477394612211226,
+      "August": 0.293460173253657,
+      "September": 0.21065390850126253,
+      "October": 0.26979692389142923,
+      "November": 0.3146912368533844,
+      "December": 0.48617128596708836
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.887,
+    "GROWTH_RATE": 2.164,
+    "DECAY_RATE": 2.908,
+    "SUMMER_DECAY_BOOST": 3.706,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.552,
+    "PRE_SUMMER_DECAY_END": 6.995,
+    "PRE_SUMMER_DECAY_SHARPNESS": 8.041,
+    "SPRING_CARRYOVER_WEIGHT": 0.062,
+    "SPRING_CARRYOVER_END": 7.025,
+    "SPRING_CARRYOVER_SHARPNESS": 20.38,
+    "BASELINE": 0.306,
+    "WINTER_WEIGHT": 0.495,
+    "AUTUMN_WEIGHT": 0.023,
+    "WINTER_PEAK": 3.4,
+    "AUTUMN_PEAK": 10.925,
+    "AUTUMN_ONSET": 10.99,
+    "AUTUMN_GATE_SHARPNESS": 7.64,
+    "WINTER_WIDTH": 9.161,
+    "WINTER_RISE_WIDTH": 8.118,
+    "WINTER_FALL_WIDTH": 8.79,
+    "AUTUMN_WIDTH": 7.124,
+    "AUTUMN_RISE_WIDTH": 5.902,
+    "AUTUMN_FALL_WIDTH": 7.32,
+    "SUMMER_DIP": 0.099,
+    "SUMMER_LOW": 8.76,
+    "SUMMER_ONSET": 7.42,
+    "SUMMER_GATE_SHARPNESS": 4.722,
+    "SUMMER_DECAY_ONSET": 7.025,
+    "SUMMER_DECAY_GATE_SHARPNESS": 13.72,
+    "SUMMER_WIDTH": 29.968,
+    "SUMMER_RISE_WIDTH": 50.275,
+    "SUMMER_FALL_WIDTH": 9.374,
+    "SCALE": 1.207,
+    "YEAR_END_WEIGHT": 0.204,
+    "YEAR_END_PEAK": 12.134,
+    "YEAR_END_WIDTH": 84.33,
+    "YEAR_END_RISE_WIDTH": 161.75,
+    "YEAR_END_FALL_WIDTH": 10.602
+  },
+  "fit": {
+    "score": 0.195
+  },
+  "warnings": [],
+  "summary": "Dunnock is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around March and reaches its lowest point around September. The model indicates strong baseline presence, weak spring carry-over, strong pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/dunnock_consensus.json b/modelling/data/abingdon-birds/resident/dunnock_consensus.json
new file mode 100644
index 0000000..49ed1a3
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/dunnock_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.195",
+  "INITIAL_Y": "0.887",
+  "GROWTH_RATE": "2.164",
+  "DECAY_RATE": "2.908",
+  "SUMMER_DECAY_BOOST": "3.706",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.552",
+  "PRE_SUMMER_DECAY_END": "6.995",
+  "PRE_SUMMER_DECAY_SHARPNESS": "8.041",
+  "SPRING_CARRYOVER_WEIGHT": "0.062",
+  "SPRING_CARRYOVER_END": "7.025",
+  "SPRING_CARRYOVER_SHARPNESS": "20.38",
+  "BASELINE": "0.306",
+  "WINTER_WEIGHT": "0.495",
+  "AUTUMN_WEIGHT": "0.023",
+  "WINTER_PEAK": "3.4",
+  "AUTUMN_PEAK": "10.925",
+  "AUTUMN_ONSET": "10.99",
+  "AUTUMN_GATE_SHARPNESS": "7.64",
+  "WINTER_WIDTH": "9.161",
+  "WINTER_RISE_WIDTH": "8.118",
+  "WINTER_FALL_WIDTH": "8.79",
+  "AUTUMN_WIDTH": "7.124",
+  "AUTUMN_RISE_WIDTH": "5.902",
+  "AUTUMN_FALL_WIDTH": "7.32",
+  "SUMMER_DIP": "0.099",
+  "SUMMER_LOW": "8.76",
+  "SUMMER_ONSET": "7.42",
+  "SUMMER_GATE_SHARPNESS": "4.722",
+  "SUMMER_DECAY_ONSET": "7.025",
+  "SUMMER_DECAY_GATE_SHARPNESS": "13.72",
+  "SUMMER_WIDTH": "29.968",
+  "SUMMER_RISE_WIDTH": "50.275",
+  "SUMMER_FALL_WIDTH": "9.374",
+  "SCALE": "1.207",
+  "YEAR_END_WEIGHT": "0.204",
+  "YEAR_END_PEAK": "12.134",
+  "YEAR_END_WIDTH": "84.33",
+  "YEAR_END_RISE_WIDTH": "161.75",
+  "YEAR_END_FALL_WIDTH": "10.602",
+  "SPECIES": "Dunnock"
+}
diff --git a/modelling/data/abingdon-birds/resident/dunnock_observed.csv b/modelling/data/abingdon-birds/resident/dunnock_observed.csv
new file mode 100644
index 0000000..f68eca0
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/dunnock_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,51
+2,62
+3,66
+4,61
+5,40
+6,20
+7,9
+8,9
+9,7
+10,8
+11,12
+12,36
diff --git a/modelling/data/abingdon-birds/resident/dunnock_parameters.csv b/modelling/data/abingdon-birds/resident/dunnock_parameters.csv
new file mode 100644
index 0000000..c1a1905
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/dunnock_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
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diff --git a/modelling/data/abingdon-birds/resident/dunnock_synthesised.csv b/modelling/data/abingdon-birds/resident/dunnock_synthesised.csv
new file mode 100644
index 0000000..4534553
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/dunnock_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-birds/resident/dunnock_synthesised.png b/modelling/data/abingdon-birds/resident/dunnock_synthesised.png
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diff --git a/modelling/data/abingdon-birds/resident/goldfinch_classification.json b/modelling/data/abingdon-birds/resident/goldfinch_classification.json
new file mode 100644
index 0000000..7141c7e
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/goldfinch_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Goldfinch",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_spring_persistence_and_summer_suppression",
+    "baseline_presence": "strong",
+    "detectability_peak_timing": "winter",
+    "detectability_trough_timing": "autumn",
+    "spring_carryover": "strong",
+    "summer_suppression": "strong",
+    "summer_decay_acceleration": "strong",
+    "pre_summer_retention": "strong",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "strong_baseline_presence",
+      "winter_detectability_peak",
+      "autumn_detectability_trough",
+      "strong_spring_carryover",
+      "strong_summer_suppression",
+      "strong_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "medium"
+  },
+  "derived_metrics": {
+    "target_peak_month": 2,
+    "target_peak_label": "February",
+    "target_trough_month": 9,
+    "target_trough_label": "September",
+    "target_peak_value": 0.9108846955275566,
+    "target_trough_value": 0.17311505765234897,
+    "target_mean_value": 0.5558225761604985,
+    "target_amplitude": 0.7377696378752077,
+    "baseline_to_peak_ratio": 0.36777432055324877,
+    "autumn_to_winter_weight_ratio": 0.10894941634241245,
+    "year_end_to_winter_weight_ratio": 0.669260700389105,
+    "decay_to_growth_ratio": 0.9342492639842983,
+    "monthly_target": {
+      "January": 0.7803719680209059,
+      "February": 0.9108846955275566,
+      "March": 0.796778465231346,
+      "April": 0.6723362655673576,
+      "May": 0.6553263140204123,
+      "June": 0.6550003660110784,
+      "July": 0.6259200503283917,
+      "August": 0.3199066535628957,
+      "September": 0.17311505765234897,
+      "October": 0.25040835834807035,
+      "November": 0.3384349591360881,
+      "December": 0.4913877605195299
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 1.052,
+    "GROWTH_RATE": 2.038,
+    "DECAY_RATE": 1.904,
+    "SUMMER_DECAY_BOOST": 4.236,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.486,
+    "PRE_SUMMER_DECAY_END": 7.17,
+    "PRE_SUMMER_DECAY_SHARPNESS": 9.978,
+    "SPRING_CARRYOVER_WEIGHT": 0.32,
+    "SPRING_CARRYOVER_END": 7.13,
+    "SPRING_CARRYOVER_SHARPNESS": 17.716,
+    "BASELINE": 0.335,
+    "WINTER_WEIGHT": 0.257,
+    "AUTUMN_WEIGHT": 0.028,
+    "WINTER_PEAK": 2.085,
+    "AUTUMN_PEAK": 10.945,
+    "AUTUMN_ONSET": 11.01,
+    "AUTUMN_GATE_SHARPNESS": 5.828,
+    "WINTER_WIDTH": 9.282,
+    "WINTER_RISE_WIDTH": 8.782,
+    "WINTER_FALL_WIDTH": 10.266,
+    "AUTUMN_WIDTH": 7.82,
+    "AUTUMN_RISE_WIDTH": 8.72,
+    "AUTUMN_FALL_WIDTH": 7.902,
+    "SUMMER_DIP": 0.162,
+    "SUMMER_LOW": 9.015,
+    "SUMMER_ONSET": 7.29,
+    "SUMMER_GATE_SHARPNESS": 4.968,
+    "SUMMER_DECAY_ONSET": 7.065,
+    "SUMMER_DECAY_GATE_SHARPNESS": 13.058,
+    "SUMMER_WIDTH": 19.861,
+    "SUMMER_RISE_WIDTH": 32.808,
+    "SUMMER_FALL_WIDTH": 9.654,
+    "SCALE": 1.264,
+    "YEAR_END_WEIGHT": 0.172,
+    "YEAR_END_PEAK": 12.168,
+    "YEAR_END_WIDTH": 87.811,
+    "YEAR_END_RISE_WIDTH": 164.334,
+    "YEAR_END_FALL_WIDTH": 8.894
+  },
+  "fit": {
+    "score": 0.35
+  },
+  "warnings": [],
+  "summary": "Goldfinch is classified as resident with spring persistence and summer suppression. The fitted resident detectability target peaks around February and reaches its lowest point around September. The model indicates strong baseline presence, strong spring carry-over, strong pre-summer retention, strong summer suppression, and strong summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/goldfinch_consensus.json b/modelling/data/abingdon-birds/resident/goldfinch_consensus.json
new file mode 100644
index 0000000..6b87633
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/goldfinch_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.35",
+  "INITIAL_Y": "1.052",
+  "GROWTH_RATE": "2.038",
+  "DECAY_RATE": "1.904",
+  "SUMMER_DECAY_BOOST": "4.236",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.486",
+  "PRE_SUMMER_DECAY_END": "7.17",
+  "PRE_SUMMER_DECAY_SHARPNESS": "9.978",
+  "SPRING_CARRYOVER_WEIGHT": "0.32",
+  "SPRING_CARRYOVER_END": "7.13",
+  "SPRING_CARRYOVER_SHARPNESS": "17.716",
+  "BASELINE": "0.335",
+  "WINTER_WEIGHT": "0.257",
+  "AUTUMN_WEIGHT": "0.028",
+  "WINTER_PEAK": "2.085",
+  "AUTUMN_PEAK": "10.945",
+  "AUTUMN_ONSET": "11.01",
+  "AUTUMN_GATE_SHARPNESS": "5.828",
+  "WINTER_WIDTH": "9.282",
+  "WINTER_RISE_WIDTH": "8.782",
+  "WINTER_FALL_WIDTH": "10.266",
+  "AUTUMN_WIDTH": "7.82",
+  "AUTUMN_RISE_WIDTH": "8.72",
+  "AUTUMN_FALL_WIDTH": "7.902",
+  "SUMMER_DIP": "0.162",
+  "SUMMER_LOW": "9.015",
+  "SUMMER_ONSET": "7.29",
+  "SUMMER_GATE_SHARPNESS": "4.968",
+  "SUMMER_DECAY_ONSET": "7.065",
+  "SUMMER_DECAY_GATE_SHARPNESS": "13.058",
+  "SUMMER_WIDTH": "19.861",
+  "SUMMER_RISE_WIDTH": "32.808",
+  "SUMMER_FALL_WIDTH": "9.654",
+  "SCALE": "1.264",
+  "YEAR_END_WEIGHT": "0.172",
+  "YEAR_END_PEAK": "12.168",
+  "YEAR_END_WIDTH": "87.811",
+  "YEAR_END_RISE_WIDTH": "164.334",
+  "YEAR_END_FALL_WIDTH": "8.894",
+  "SPECIES": "Goldfinch"
+}
diff --git a/modelling/data/abingdon-birds/resident/goldfinch_observed.csv b/modelling/data/abingdon-birds/resident/goldfinch_observed.csv
new file mode 100644
index 0000000..03ae243
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/goldfinch_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,51
+2,39
+3,44
+4,51
+5,42
+6,40
+7,37
+8,25
+9,12
+10,28
+11,24
+12,29
diff --git a/modelling/data/abingdon-birds/resident/goldfinch_parameters.csv b/modelling/data/abingdon-birds/resident/goldfinch_parameters.csv
new file mode 100644
index 0000000..2d535cb
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/goldfinch_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 09:56:01,goldfinch_observed.csv,0.4881418605640505657176556920,1.316,3.666,1.389,3.022,0.896,7.17,9.55,0.379,7.49,19.261,0.355,0.309,0.047,1.29,10.6,10.49,2.814,6.748,7.934,5.563,8.958,8.222,9.693,0.159,9.81,6.94,7.221,7.2,8.626,27.350,41.508,13.193,1.362,0.309,12.235,123.622,232.351,14.894
+2026-05-21 09:56:02,goldfinch_observed.csv,0.3891475649486009296964817516,1.055,2.245,3.394,0.713,0.141,6.8,6.575,0.406,7.23,16.435,0.401,0.677,0.048,1.8,10.77,11.19,6.027,7.848,4.615,11.082,10.766,9.552,11.981,0.187,9.78,6.54,4.539,6.65,14.662,29.044,40.042,18.046,1.413,0.01,12.159,74.351,143.702,5.0
+2026-05-21 09:56:02,goldfinch_observed.csv,0.4443535631088273685182704172,0.966,1.056,2.955,2.577,0.857,6.58,10.707,0.314,7.15,22.43,0.539,0.526,0.017,1.34,1.49,11.38,6.152,2.427,2.762,2.092,9.910,10.292,9.529,0.048,10.41,7.01,1.242,7.32,22.132,36.050,63.242,8.857,1.459,0.011,12.179,122.097,234.232,9.962
+2026-05-21 09:56:02,goldfinch_observed.csv,0.9972252619069472582035498494,1.189,3.766,5.787,4.566,0.317,7.39,14.746,0.162,7.58,6.82,0.537,0.2,0.045,2.31,1.08,10.36,10.562,8.630,7.126,10.134,4.332,3.834,4.829,0.124,9.89,8.17,5.146,7.09,23.345,26.716,51.588,1.844,1.042,0.018,12.22,74.010,135.338,12.681
+2026-05-21 09:56:03,goldfinch_observed.csv,0.5821404559229921146053766520,1.077,3.32,1.416,4.683,0.899,6.87,13.508,0.385,7.36,21.837,0.289,0.732,0.028,1.39,11.39,10.56,4.283,8.918,8.167,9.670,10.707,10.15,11.264,0.085,10.16,6.51,3.486,6.92,6.967,42.112,68.286,15.939,0.823,0.197,12.104,90.120,171.105,9.135
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diff --git a/modelling/data/abingdon-birds/resident/goldfinch_simulated.csv b/modelling/data/abingdon-birds/resident/goldfinch_simulated.csv
new file mode 100644
index 0000000..2f0a92e
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/goldfinch_simulated.csv
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diff --git a/modelling/data/abingdon-birds/resident/goldfinch_synthesised.csv b/modelling/data/abingdon-birds/resident/goldfinch_synthesised.csv
new file mode 100644
index 0000000..3470b89
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/goldfinch_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
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+9,12,0.1875513,10.73712951392928
+10,28,0.25072869999999997,14.353974218035919
+11,24,0.3300509,18.895093019824024
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diff --git a/modelling/data/abingdon-birds/resident/goldfinch_synthesised.png b/modelling/data/abingdon-birds/resident/goldfinch_synthesised.png
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diff --git a/modelling/data/abingdon-birds/resident/great_tit_classification.json b/modelling/data/abingdon-birds/resident/great_tit_classification.json
new file mode 100644
index 0000000..9b7755e
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/great_tit_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Great Tit",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "moderate",
+    "detectability_peak_timing": "spring",
+    "detectability_trough_timing": "summer",
+    "spring_carryover": "moderate",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "moderate",
+    "pre_summer_retention": "moderate",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "moderate_baseline_presence",
+      "spring_detectability_peak",
+      "summer_detectability_trough",
+      "moderate_spring_carryover",
+      "moderate_summer_suppression",
+      "moderate_summer_decay_acceleration",
+      "moderate_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "target_peak_month": 4,
+    "target_peak_label": "April",
+    "target_trough_month": 8,
+    "target_trough_label": "August",
+    "target_peak_value": 0.7816639808746313,
+    "target_trough_value": 0.09331083609206177,
+    "target_mean_value": 0.37448367728894455,
+    "target_amplitude": 0.6883531447825695,
+    "baseline_to_peak_ratio": 0.2712162837064409,
+    "autumn_to_winter_weight_ratio": 0.060810810810810814,
+    "year_end_to_winter_weight_ratio": 0.3761261261261261,
+    "decay_to_growth_ratio": 1.6836686944314458,
+    "monthly_target": {
+      "January": 0.3583668965712486,
+      "February": 0.4159384081328567,
+      "March": 0.6675438348210644,
+      "April": 0.7816639808746313,
+      "May": 0.512982174573322,
+      "June": 0.3692937277379937,
+      "July": 0.3142514632493012,
+      "August": 0.09331083609206177,
+      "September": 0.17611611628420815,
+      "October": 0.2102017641294908,
+      "November": 0.23709934080472178,
+      "December": 0.35703558419643405
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.792,
+    "GROWTH_RATE": 2.137,
+    "DECAY_RATE": 3.598,
+    "SUMMER_DECAY_BOOST": 3.674,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.384,
+    "PRE_SUMMER_DECAY_END": 7.02,
+    "PRE_SUMMER_DECAY_SHARPNESS": 10.124,
+    "SPRING_CARRYOVER_WEIGHT": 0.144,
+    "SPRING_CARRYOVER_END": 7.18,
+    "SPRING_CARRYOVER_SHARPNESS": 15.978,
+    "BASELINE": 0.212,
+    "WINTER_WEIGHT": 0.444,
+    "AUTUMN_WEIGHT": 0.027,
+    "WINTER_PEAK": 3.745,
+    "AUTUMN_PEAK": 10.88,
+    "AUTUMN_ONSET": 10.64,
+    "AUTUMN_GATE_SHARPNESS": 7.457,
+    "WINTER_WIDTH": 8.895,
+    "WINTER_RISE_WIDTH": 9.254,
+    "WINTER_FALL_WIDTH": 9.456,
+    "AUTUMN_WIDTH": 6.861,
+    "AUTUMN_RISE_WIDTH": 7.017,
+    "AUTUMN_FALL_WIDTH": 6.616,
+    "SUMMER_DIP": 0.126,
+    "SUMMER_LOW": 7.72,
+    "SUMMER_ONSET": 6.245,
+    "SUMMER_GATE_SHARPNESS": 4.096,
+    "SUMMER_DECAY_ONSET": 7.115,
+    "SUMMER_DECAY_GATE_SHARPNESS": 14.87,
+    "SUMMER_WIDTH": 24.254,
+    "SUMMER_RISE_WIDTH": 35.218,
+    "SUMMER_FALL_WIDTH": 10.973,
+    "SCALE": 1.228,
+    "YEAR_END_WEIGHT": 0.167,
+    "YEAR_END_PEAK": 12.151,
+    "YEAR_END_WIDTH": 84.878,
+    "YEAR_END_RISE_WIDTH": 160.88,
+    "YEAR_END_FALL_WIDTH": 9.492
+  },
+  "fit": {
+    "score": 0.159
+  },
+  "warnings": [],
+  "summary": "Great Tit is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around April and reaches its lowest point around August. The model indicates moderate baseline presence, moderate spring carry-over, moderate pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/great_tit_consensus.json b/modelling/data/abingdon-birds/resident/great_tit_consensus.json
new file mode 100644
index 0000000..bc577da
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/great_tit_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.159",
+  "INITIAL_Y": "0.792",
+  "GROWTH_RATE": "2.137",
+  "DECAY_RATE": "3.598",
+  "SUMMER_DECAY_BOOST": "3.674",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.384",
+  "PRE_SUMMER_DECAY_END": "7.02",
+  "PRE_SUMMER_DECAY_SHARPNESS": "10.124",
+  "SPRING_CARRYOVER_WEIGHT": "0.144",
+  "SPRING_CARRYOVER_END": "7.18",
+  "SPRING_CARRYOVER_SHARPNESS": "15.978",
+  "BASELINE": "0.212",
+  "WINTER_WEIGHT": "0.444",
+  "AUTUMN_WEIGHT": "0.027",
+  "WINTER_PEAK": "3.745",
+  "AUTUMN_PEAK": "10.88",
+  "AUTUMN_ONSET": "10.64",
+  "AUTUMN_GATE_SHARPNESS": "7.457",
+  "WINTER_WIDTH": "8.895",
+  "WINTER_RISE_WIDTH": "9.254",
+  "WINTER_FALL_WIDTH": "9.456",
+  "AUTUMN_WIDTH": "6.861",
+  "AUTUMN_RISE_WIDTH": "7.017",
+  "AUTUMN_FALL_WIDTH": "6.616",
+  "SUMMER_DIP": "0.126",
+  "SUMMER_LOW": "7.72",
+  "SUMMER_ONSET": "6.245",
+  "SUMMER_GATE_SHARPNESS": "4.096",
+  "SUMMER_DECAY_ONSET": "7.115",
+  "SUMMER_DECAY_GATE_SHARPNESS": "14.87",
+  "SUMMER_WIDTH": "24.254",
+  "SUMMER_RISE_WIDTH": "35.218",
+  "SUMMER_FALL_WIDTH": "10.973",
+  "SCALE": "1.228",
+  "YEAR_END_WEIGHT": "0.167",
+  "YEAR_END_PEAK": "12.151",
+  "YEAR_END_WIDTH": "84.878",
+  "YEAR_END_RISE_WIDTH": "160.88",
+  "YEAR_END_FALL_WIDTH": "9.492",
+  "SPECIES": "Great Tit"
+}
diff --git a/modelling/data/abingdon-birds/resident/great_tit_observed.csv b/modelling/data/abingdon-birds/resident/great_tit_observed.csv
new file mode 100644
index 0000000..495911d
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/great_tit_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,70
+2,69
+3,86
+4,93
+5,75
+6,48
+7,15
+8,9
+9,12
+10,23
+11,21
+12,28
diff --git a/modelling/data/abingdon-birds/resident/great_tit_parameters.csv b/modelling/data/abingdon-birds/resident/great_tit_parameters.csv
new file mode 100644
index 0000000..d264b7d
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/great_tit_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 09:58:08,great_tit_observed.csv,0.1812589220450772969852978872,0.779,3.714,1.346,2.29,0.552,6.62,6.4,0.178,7.29,22.307,0.246,0.704,0.032,3.11,10.85,10.75,11.073,9.341,6.268,12.414,9.549,10.643,8.455,0.079,9.42,6.75,0.933,7.59,23.637,43.324,78.965,7.682,1.351,0.084,12.096,93.256,180.853,5.659
+2026-05-21 09:58:08,great_tit_observed.csv,0.2391720812479798196161478648,0.73,2.822,1.186,5.8,0.811,7.39,11.672,0.179,7.5,12.038,0.067,0.673,0.01,3.29,11.1,10.76,11.583,11.344,18.285,4.402,8.621,7.801,9.441,0.221,6.94,6.47,5.661,6.88,21.797,28.648,42.634,14.662,1.384,0.01,12.046,67.946,121.44,14.452
+2026-05-21 09:58:08,great_tit_observed.csv,0.3318047158184560647286228848,0.923,3.356,2.295,4.569,0.243,7.14,6.29,0.056,7.46,10.422,0.244,0.584,0.038,5.42,1.19,10.13,4.278,16.403,18.531,14.275,5.904,9.191,2.618,0.098,7.2,5.03,2.467,7.44,17.123,11.237,9.476,12.998,1.558,0.339,12.159,67.232,122.439,12.024
+2026-05-21 09:58:09,great_tit_observed.csv,0.8911288810564209973694101257,0.91,0.348,4.282,4.554,0.259,7.46,9.198,0.058,6.62,23.106,0.073,0.421,0.032,3.86,11.62,11.05,6.264,9.109,16.055,2.163,11.379,10.758,12.0,0.041,7.93,5.35,2.354,7.35,12.227,2.296,2.034,2.557,1.21,0.048,12.078,82.807,150.484,15.13
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diff --git a/modelling/data/abingdon-birds/resident/great_tit_simulated.csv b/modelling/data/abingdon-birds/resident/great_tit_simulated.csv
new file mode 100644
index 0000000..bd22c50
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/great_tit_simulated.csv
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diff --git a/modelling/data/abingdon-birds/resident/great_tit_synthesised.csv b/modelling/data/abingdon-birds/resident/great_tit_synthesised.csv
new file mode 100644
index 0000000..51f7edc
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/great_tit_synthesised.csv
@@ -0,0 +1,13 @@
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+9,12,0.1699774,21.54193396751885
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+11,21,0.2328259,29.5069824796011
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diff --git a/modelling/data/abingdon-birds/resident/great_tit_synthesised.png b/modelling/data/abingdon-birds/resident/great_tit_synthesised.png
new file mode 100644
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diff --git a/modelling/data/abingdon-birds/resident/greenfinch_classification.json b/modelling/data/abingdon-birds/resident/greenfinch_classification.json
new file mode 100644
index 0000000..178909b
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/greenfinch_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Greenfinch",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "weak",
+    "detectability_peak_timing": "spring",
+    "detectability_trough_timing": "summer",
+    "spring_carryover": "moderate",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "strong",
+    "pre_summer_retention": "moderate",
+    "autumn_component": "minimal",
+    "year_end_component": "weak",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "weak_baseline_presence",
+      "spring_detectability_peak",
+      "summer_detectability_trough",
+      "moderate_spring_carryover",
+      "moderate_summer_suppression",
+      "strong_summer_decay_acceleration",
+      "moderate_pre_summer_retention",
+      "minimal_autumn_component",
+      "weak_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "low"
+  },
+  "derived_metrics": {
+    "target_peak_month": 4,
+    "target_peak_label": "April",
+    "target_trough_month": 8,
+    "target_trough_label": "August",
+    "target_peak_value": 0.6462342810924729,
+    "target_trough_value": 0.0,
+    "target_mean_value": 0.20198254429648033,
+    "target_amplitude": 0.6462342810924729,
+    "baseline_to_peak_ratio": 0.0541599246960897,
+    "autumn_to_winter_weight_ratio": 0.03756708407871199,
+    "year_end_to_winter_weight_ratio": 0.2504472271914132,
+    "decay_to_growth_ratio": 2.1115751789976134,
+    "monthly_target": {
+      "January": 0.16596442518928473,
+      "February": 0.22399949025723245,
+      "March": 0.5863931062878311,
+      "April": 0.6462342810924729,
+      "May": 0.27340366791625514,
+      "June": 0.16896843653136892,
+      "July": 0.1125556666412539,
+      "August": 0.0,
+      "September": 0.0,
+      "October": 0.024796698449594905,
+      "November": 0.05559680373508381,
+      "December": 0.16587795545738593
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.142,
+    "GROWTH_RATE": 1.676,
+    "DECAY_RATE": 3.539,
+    "SUMMER_DECAY_BOOST": 4.687,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.398,
+    "PRE_SUMMER_DECAY_END": 6.92,
+    "PRE_SUMMER_DECAY_SHARPNESS": 9.764,
+    "SPRING_CARRYOVER_WEIGHT": 0.13,
+    "SPRING_CARRYOVER_END": 7.02,
+    "SPRING_CARRYOVER_SHARPNESS": 19.58,
+    "BASELINE": 0.035,
+    "WINTER_WEIGHT": 0.559,
+    "AUTUMN_WEIGHT": 0.021,
+    "WINTER_PEAK": 3.56,
+    "AUTUMN_PEAK": 10.98,
+    "AUTUMN_ONSET": 10.055,
+    "AUTUMN_GATE_SHARPNESS": 7.448,
+    "WINTER_WIDTH": 11.503,
+    "WINTER_RISE_WIDTH": 13.1,
+    "WINTER_FALL_WIDTH": 11.264,
+    "AUTUMN_WIDTH": 6.926,
+    "AUTUMN_RISE_WIDTH": 8.318,
+    "AUTUMN_FALL_WIDTH": 7.255,
+    "SUMMER_DIP": 0.1,
+    "SUMMER_LOW": 8.51,
+    "SUMMER_ONSET": 6.23,
+    "SUMMER_GATE_SHARPNESS": 4.848,
+    "SUMMER_DECAY_ONSET": 7.12,
+    "SUMMER_DECAY_GATE_SHARPNESS": 16.084,
+    "SUMMER_WIDTH": 31.914,
+    "SUMMER_RISE_WIDTH": 51.931,
+    "SUMMER_FALL_WIDTH": 12.138,
+    "SCALE": 1.106,
+    "YEAR_END_WEIGHT": 0.14,
+    "YEAR_END_PEAK": 12.122,
+    "YEAR_END_WIDTH": 86.695,
+    "YEAR_END_RISE_WIDTH": 163.925,
+    "YEAR_END_FALL_WIDTH": 9.023
+  },
+  "fit": {
+    "score": 0.389
+  },
+  "warnings": [],
+  "summary": "Greenfinch is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around April and reaches its lowest point around August. The model indicates weak baseline presence, moderate spring carry-over, moderate pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/greenfinch_consensus.json b/modelling/data/abingdon-birds/resident/greenfinch_consensus.json
new file mode 100644
index 0000000..3ef16f4
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/greenfinch_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.389",
+  "INITIAL_Y": "0.142",
+  "GROWTH_RATE": "1.676",
+  "DECAY_RATE": "3.539",
+  "SUMMER_DECAY_BOOST": "4.687",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.398",
+  "PRE_SUMMER_DECAY_END": "6.92",
+  "PRE_SUMMER_DECAY_SHARPNESS": "9.764",
+  "SPRING_CARRYOVER_WEIGHT": "0.13",
+  "SPRING_CARRYOVER_END": "7.02",
+  "SPRING_CARRYOVER_SHARPNESS": "19.58",
+  "BASELINE": "0.035",
+  "WINTER_WEIGHT": "0.559",
+  "AUTUMN_WEIGHT": "0.021",
+  "WINTER_PEAK": "3.56",
+  "AUTUMN_PEAK": "10.98",
+  "AUTUMN_ONSET": "10.055",
+  "AUTUMN_GATE_SHARPNESS": "7.448",
+  "WINTER_WIDTH": "11.503",
+  "WINTER_RISE_WIDTH": "13.1",
+  "WINTER_FALL_WIDTH": "11.264",
+  "AUTUMN_WIDTH": "6.926",
+  "AUTUMN_RISE_WIDTH": "8.318",
+  "AUTUMN_FALL_WIDTH": "7.255",
+  "SUMMER_DIP": "0.1",
+  "SUMMER_LOW": "8.51",
+  "SUMMER_ONSET": "6.23",
+  "SUMMER_GATE_SHARPNESS": "4.848",
+  "SUMMER_DECAY_ONSET": "7.12",
+  "SUMMER_DECAY_GATE_SHARPNESS": "16.084",
+  "SUMMER_WIDTH": "31.914",
+  "SUMMER_RISE_WIDTH": "51.931",
+  "SUMMER_FALL_WIDTH": "12.138",
+  "SCALE": "1.106",
+  "YEAR_END_WEIGHT": "0.14",
+  "YEAR_END_PEAK": "12.122",
+  "YEAR_END_WIDTH": "86.695",
+  "YEAR_END_RISE_WIDTH": "163.925",
+  "YEAR_END_FALL_WIDTH": "9.023",
+  "SPECIES": "Greenfinch"
+}
diff --git a/modelling/data/abingdon-birds/resident/greenfinch_observed.csv b/modelling/data/abingdon-birds/resident/greenfinch_observed.csv
new file mode 100644
index 0000000..c2c25dd
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/greenfinch_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,7
+2,27
+3,39
+4,29
+5,34
+6,25
+7,10
+8,1
+9,1
+10,2
+11,1
+12,7
diff --git a/modelling/data/abingdon-birds/resident/greenfinch_parameters.csv b/modelling/data/abingdon-birds/resident/greenfinch_parameters.csv
new file mode 100644
index 0000000..18ca33f
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/greenfinch_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 09:59:12,greenfinch_observed.csv,2.021149560929253721222827712,0.274,1.391,0.132,4.381,0.061,6.64,3.23,0.062,7.61,20.363,0.02,0.538,0.015,2.51,11.89,9.47,8.329,11.431,6.266,16.596,2.781,0.985,4.577,0.219,6.63,5.45,7.052,7.19,7.477,27.566,35.581,19.551,1.645,0.174,12.268,49.480,89.354,9.606
+2026-05-21 09:59:12,greenfinch_observed.csv,0.3081532492775376477863827841,0.068,0.629,4.642,1.551,0.029,7.56,12.381,0.003,6.76,21.712,0.03,0.683,0.046,4.03,11.14,10.61,11.584,11.136,6.315,15.956,4.692,8.262,1.122,0.018,8.6,7.31,4.303,7.49,7.789,3.452,3.711,3.193,1.572,0.189,12.142,93.062,181.863,4.261
+2026-05-21 09:59:12,greenfinch_observed.csv,2.105926561192633821244440202,0.136,2.144,3.699,3.68,0.135,7.01,10.904,0.023,7.58,20.38,0.036,0.104,0.042,3.86,11.19,11.08,2.262,16.229,16.572,15.886,10.542,10.566,10.517,0.156,7.34,6.18,3.404,6.94,15.881,43.458,75.531,11.384,1.312,0.186,12.158,46.589,86.123,7.055
+2026-05-21 09:59:13,greenfinch_observed.csv,0.8725046285153389464787370092,0.191,2.424,5.044,3.756,0.878,7.23,7.577,0.184,7.37,14.185,0.021,0.572,0.033,2.79,10.61,11.21,2.127,10.251,13.141,7.361,3.726,2.741,4.712,0.052,8.82,7.45,4.091,7.58,21.242,14.356,24.856,3.856,1.616,0.336,12.138,97.143,187.112,7.174
+2026-05-21 09:59:13,greenfinch_observed.csv,1.342925904230097250381761569,0.408,0.872,0.912,3.78,0.353,6.78,14.985,0.133,6.52,18.134,0.033,0.414,0.048,4.41,11.78,11.49,7.147,5.634,3.754,7.513,5.626,0.609,10.644,0.011,6.52,6.14,1.947,6.97,16.937,39.447,66.334,12.56,1.104,0.261,12.087,49.872,90.25,9.493
+2026-05-21 09:59:13,greenfinch_observed.csv,1.313075623969806820918002573,0.398,3.595,0.552,0.758,0.452,6.85,13.055,0.189,7.56,13.417,0.087,0.351,0.042,3.12,11.01,10.89,2.498,13.462,12.059,14.866,8.598,10.236,6.961,0.153,7.0,5.97,6.332,7.48,16.952,41.044,70.955,11.134,1.308,0.261,12.024,104.446,202.363,6.53
+2026-05-21 09:59:14,greenfinch_observed.csv,0.3352358714765904231151651337,0.012,1.994,0.896,7.603,0.579,6.61,3.744,0.043,6.74,7.757,0.019,0.125,0.041,4.44,10.84,9.71,7.647,11.066,17.452,4.68,5.064,6.709,3.419,0.143,8.85,5.49,4.133,6.66,15.664,1.606,2.761,0.452,1.197,0.041,12.082,61.012,107.171,14.852
+2026-05-21 09:59:14,greenfinch_observed.csv,1.233819623545062556188509340,0.156,2.149,2.924,0.241,0.684,6.66,5.707,0.203,6.7,18.877,0.042,0.364,0.021,2.69,1.41,10.42,3.102,13.137,15.031,11.243,7.534,8.365,6.702,0.243,7.49,6.49,1.704,6.66,8.249,42.358,66.809,17.907,1.663,0.024,12.293,66.631,119.993,13.269
+2026-05-21 09:59:14,greenfinch_observed.csv,0.1339388589203009087344550865,0.016,3.745,1.997,2.023,0.272,7.31,6.677,0.17,6.93,19.044,0.036,0.49,0.035,3.48,11.98,9.53,11.058,7.592,12.884,2.299,9.821,7.731,11.911,0.006,7.92,7.37,2.359,7.17,17.316,47.578,76.529,18.626,0.849,0.051,12.017,96.630,186.541,6.718
+2026-05-21 09:59:15,greenfinch_observed.csv,6.187198630215579603148977229,0.398,2.87,0.906,5.059,0.552,7.27,3.688,0.037,7.32,23.807,0.033,0.094,0.032,3.85,11.09,10.54,9.584,8.635,5.804,11.466,2.762,0.662,4.863,0.147,7.39,7.14,5.79,6.99,13.443,31.882,50.199,13.566,1.742,0.104,12.221,102.592,200.647,4.536
+2026-05-21 09:59:15,greenfinch_observed.csv,0.6923152037883736128696491405,0.223,0.864,3.529,1.656,0.513,7.13,6.731,0.179,7.19,11.068,0.069,0.375,0.029,1.67,1.01,10.38,2.006,16.652,18.792,14.511,6.162,10.444,1.881,0.04,7.46,5.18,5.063,7.15,22.885,20.303,24.32,16.286,0.837,0.153,12.159,53.406,93.214,13.599
+2026-05-21 09:59:15,greenfinch_observed.csv,0.3820317466158546303368243403,0.121,1.777,5.512,3.724,0.546,6.73,11.994,0.15,6.93,26.626,0.048,0.162,0.0,3.75,11.04,9.93,5.767,8.540,7.661,9.42,8.368,12.264,4.473,0.086,7.02,6.49,5.953,6.83,11.889,42.556,77.18,7.932,0.822,0.152,12.062,82.349,158.384,6.314
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diff --git a/modelling/data/abingdon-birds/resident/greenfinch_simulated.csv b/modelling/data/abingdon-birds/resident/greenfinch_simulated.csv
new file mode 100644
index 0000000..83d05ba
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/greenfinch_simulated.csv
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diff --git a/modelling/data/abingdon-birds/resident/greenfinch_synthesised.csv b/modelling/data/abingdon-birds/resident/greenfinch_synthesised.csv
new file mode 100644
index 0000000..e2397b7
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/greenfinch_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
+1,7,0.15685670000000002,11.585410290633405
+2,27,0.2484133,18.347765840733633
+3,39,0.5241564999999999,38.714113640044616
+4,29,0.5631306,41.5927343123409
+5,34,0.3069176,22.668883901143573
+6,25,0.1878172,13.87214777333676
+7,10,0.07976652,5.8915421633632175
+8,1,0.0038093985400000003,0.28136155514198546
+9,1,0.0005739948753000001,0.04239516791486407
+10,2,0.023469077999999997,1.7334222750630224
+11,1,0.050176149999999996,3.706002259096138
+12,7,0.123121,9.093696988353544
diff --git a/modelling/data/abingdon-birds/resident/greenfinch_synthesised.png b/modelling/data/abingdon-birds/resident/greenfinch_synthesised.png
new file mode 100644
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HcmV?d00001

diff --git a/modelling/data/abingdon-birds/resident/grey_heron_classification.json b/modelling/data/abingdon-birds/resident/grey_heron_classification.json
new file mode 100644
index 0000000..a8f1565
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/grey_heron_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Grey Heron",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_spring_persistence_and_summer_suppression",
+    "baseline_presence": "strong",
+    "detectability_peak_timing": "spring",
+    "detectability_trough_timing": "summer",
+    "spring_carryover": "moderate",
+    "summer_suppression": "strong",
+    "summer_decay_acceleration": "moderate",
+    "pre_summer_retention": "strong",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "strong_baseline_presence",
+      "spring_detectability_peak",
+      "summer_detectability_trough",
+      "moderate_spring_carryover",
+      "strong_summer_suppression",
+      "moderate_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "decline_biased_response_dynamics"
+    ],
+    "confidence": "medium"
+  },
+  "derived_metrics": {
+    "target_peak_month": 4,
+    "target_peak_label": "April",
+    "target_trough_month": 8,
+    "target_trough_label": "August",
+    "target_peak_value": 0.8011671374071747,
+    "target_trough_value": 0.15733223197625978,
+    "target_mean_value": 0.44250863140775165,
+    "target_amplitude": 0.6438349054309149,
+    "baseline_to_peak_ratio": 0.3944245654192382,
+    "autumn_to_winter_weight_ratio": 0.07446808510638298,
+    "year_end_to_winter_weight_ratio": 0.3617021276595745,
+    "decay_to_growth_ratio": 1.3318505338078293,
+    "monthly_target": {
+      "January": 0.43137308321306045,
+      "February": 0.4494463546925749,
+      "March": 0.5942189655048495,
+      "April": 0.8011671374071747,
+      "May": 0.6703585568204801,
+      "June": 0.47110212102530874,
+      "July": 0.39115641929170963,
+      "August": 0.15733223197625978,
+      "September": 0.2589597739944958,
+      "October": 0.3189252163476102,
+      "November": 0.33729484980567004,
+      "December": 0.42876886681382603
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.866,
+    "GROWTH_RATE": 2.248,
+    "DECAY_RATE": 2.994,
+    "SUMMER_DECAY_BOOST": 3.076,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.589,
+    "PRE_SUMMER_DECAY_END": 7.065,
+    "PRE_SUMMER_DECAY_SHARPNESS": 9.91,
+    "SPRING_CARRYOVER_WEIGHT": 0.115,
+    "SPRING_CARRYOVER_END": 7.105,
+    "SPRING_CARRYOVER_SHARPNESS": 16.98,
+    "BASELINE": 0.316,
+    "WINTER_WEIGHT": 0.376,
+    "AUTUMN_WEIGHT": 0.028,
+    "WINTER_PEAK": 4.16,
+    "AUTUMN_PEAK": 10.195,
+    "AUTUMN_ONSET": 10.12,
+    "AUTUMN_GATE_SHARPNESS": 8.75,
+    "WINTER_WIDTH": 9.04,
+    "WINTER_RISE_WIDTH": 8.908,
+    "WINTER_FALL_WIDTH": 9.263,
+    "AUTUMN_WIDTH": 6.977,
+    "AUTUMN_RISE_WIDTH": 6.647,
+    "AUTUMN_FALL_WIDTH": 6.066,
+    "SUMMER_DIP": 0.164,
+    "SUMMER_LOW": 7.785,
+    "SUMMER_ONSET": 6.195,
+    "SUMMER_GATE_SHARPNESS": 4.202,
+    "SUMMER_DECAY_ONSET": 7.145,
+    "SUMMER_DECAY_GATE_SHARPNESS": 14.202,
+    "SUMMER_WIDTH": 27.423,
+    "SUMMER_RISE_WIDTH": 43.836,
+    "SUMMER_FALL_WIDTH": 10.26,
+    "SCALE": 1.308,
+    "YEAR_END_WEIGHT": 0.136,
+    "YEAR_END_PEAK": 12.142,
+    "YEAR_END_WIDTH": 97.004,
+    "YEAR_END_RISE_WIDTH": 180.832,
+    "YEAR_END_FALL_WIDTH": 11.088
+  },
+  "fit": {
+    "score": 0.206
+  },
+  "warnings": [],
+  "summary": "Grey Heron is classified as resident with spring persistence and summer suppression. The fitted resident detectability target peaks around April and reaches its lowest point around August. The model indicates strong baseline presence, moderate spring carry-over, strong pre-summer retention, strong summer suppression, and moderate summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/grey_heron_consensus.json b/modelling/data/abingdon-birds/resident/grey_heron_consensus.json
new file mode 100644
index 0000000..b7e28bc
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/grey_heron_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.206",
+  "INITIAL_Y": "0.866",
+  "GROWTH_RATE": "2.248",
+  "DECAY_RATE": "2.994",
+  "SUMMER_DECAY_BOOST": "3.076",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.589",
+  "PRE_SUMMER_DECAY_END": "7.065",
+  "PRE_SUMMER_DECAY_SHARPNESS": "9.91",
+  "SPRING_CARRYOVER_WEIGHT": "0.115",
+  "SPRING_CARRYOVER_END": "7.105",
+  "SPRING_CARRYOVER_SHARPNESS": "16.98",
+  "BASELINE": "0.316",
+  "WINTER_WEIGHT": "0.376",
+  "AUTUMN_WEIGHT": "0.028",
+  "WINTER_PEAK": "4.16",
+  "AUTUMN_PEAK": "10.195",
+  "AUTUMN_ONSET": "10.12",
+  "AUTUMN_GATE_SHARPNESS": "8.75",
+  "WINTER_WIDTH": "9.04",
+  "WINTER_RISE_WIDTH": "8.908",
+  "WINTER_FALL_WIDTH": "9.263",
+  "AUTUMN_WIDTH": "6.977",
+  "AUTUMN_RISE_WIDTH": "6.647",
+  "AUTUMN_FALL_WIDTH": "6.066",
+  "SUMMER_DIP": "0.164",
+  "SUMMER_LOW": "7.785",
+  "SUMMER_ONSET": "6.195",
+  "SUMMER_GATE_SHARPNESS": "4.202",
+  "SUMMER_DECAY_ONSET": "7.145",
+  "SUMMER_DECAY_GATE_SHARPNESS": "14.202",
+  "SUMMER_WIDTH": "27.423",
+  "SUMMER_RISE_WIDTH": "43.836",
+  "SUMMER_FALL_WIDTH": "10.26",
+  "SCALE": "1.308",
+  "YEAR_END_WEIGHT": "0.136",
+  "YEAR_END_PEAK": "12.142",
+  "YEAR_END_WIDTH": "97.004",
+  "YEAR_END_RISE_WIDTH": "180.832",
+  "YEAR_END_FALL_WIDTH": "11.088",
+  "SPECIES": "Grey Heron"
+}
diff --git a/modelling/data/abingdon-birds/resident/grey_heron_observed.csv b/modelling/data/abingdon-birds/resident/grey_heron_observed.csv
new file mode 100644
index 0000000..04b884a
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/grey_heron_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,10
+2,5
+3,10
+4,11
+5,9
+6,7
+7,3
+8,2
+9,3
+10,5
+11,5
+12,2
diff --git a/modelling/data/abingdon-birds/resident/grey_heron_parameters.csv b/modelling/data/abingdon-birds/resident/grey_heron_parameters.csv
new file mode 100644
index 0000000..4e815e3
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/grey_heron_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 10:00:15,grey_heron_observed.csv,0.2407267954895939523391715656,0.828,2.5,0.28,6.195,0.626,7.29,4.109,0.008,7.38,24.647,0.183,0.434,0.0,2.98,10.76,9.45,9.664,11.220,10.739,11.701,9.490,8.608,10.372,0.181,8.29,6.12,1.264,7.53,16.754,22.692,43.111,2.273,0.948,0.01,12.02,68.238,120.796,15.681
+2026-05-21 10:00:16,grey_heron_observed.csv,0.9716250256279451330289035253,0.785,2.196,4.696,0.0,0.039,7.71,10.258,0.071,7.14,11.926,0.437,0.344,0.018,4.99,11.33,9.53,6.86,8.642,12.926,4.358,7.697,6.453,8.941,0.018,6.54,5.48,3.924,7.6,17.212,31.490,54.255,8.724,1.588,0.004,12.064,79.425,146.351,12.499
+2026-05-21 10:00:16,grey_heron_observed.csv,0.5900082412082105259366162367,0.982,3.186,4.195,2.764,0.113,7.57,3.573,0.13,6.91,19.786,0.109,0.736,0.046,4.05,10.18,10.84,3.231,8.282,13.241,3.323,2.600,2.956,2.245,0.109,9.13,5.12,5.702,7.52,11.659,16.576,25.58,7.573,1.287,0.226,12.287,116.640,221.434,11.847
+2026-05-21 10:00:16,grey_heron_observed.csv,0.9467960424864802383711059024,0.711,2.274,0.235,0.249,0.724,7.61,7.428,0.16,7.38,12.137,0.381,0.391,0.014,2.91,10.76,10.77,3.427,0.819,0.750,0.888,1.759,0.372,3.146,0.049,8.62,7.28,7.345,7.54,6.093,7.532,12.478,2.587,0.889,0.347,12.196,113.134,221.976,4.292
+2026-05-21 10:00:17,grey_heron_observed.csv,0.3510252039243149601487345801,0.853,1.892,5.813,4.61,0.577,6.42,8.117,0.206,7.36,19.388,0.169,0.018,0.03,4.64,11.01,10.78,11.627,1.028,0.574,1.481,8.360,2.759,13.96,0.182,9.38,5.27,4.64,6.85,7.463,38.461,76.503,0.419,1.334,0.081,12.229,46.040,83.142,8.938
+2026-05-21 10:00:17,grey_heron_observed.csv,0.1912908510448005375784085796,0.684,3.025,2.869,4.471,0.803,6.59,6.732,0.001,7.1,12.176,0.219,0.597,0.017,3.27,10.38,11.27,2.47,6.946,3.051,10.841,12.646,13.571,11.722,0.164,8.93,5.79,7.123,7.22,16.057,10.827,17.863,3.791,1.191,0.008,12.286,102.162,199.544,4.78
+2026-05-21 10:00:17,grey_heron_observed.csv,0.6910137912660846901732451792,0.942,1.28,1.599,6.417,0.039,6.56,15.757,0.22,7.63,9.728,0.219,0.005,0.016,2.59,8.51,9.46,9.129,7.746,3.068,12.425,10.902,13.991,7.812,0.18,8.67,7.21,4.079,6.82,14.344,35.226,51.116,19.336,0.92,0.03,12.206,96.736,182.749,10.722
+2026-05-21 10:00:18,grey_heron_observed.csv,0.5408435542377512832416816462,0.753,1.026,1.446,0.778,0.712,7.13,9.94,0.193,7.27,11.259,0.427,0.313,0.014,4.23,9.19,10.59,2.779,15.454,15.668,15.239,9.336,9.261,9.411,0.25,8.94,7.17,4.399,7.38,12.22,20.845,25.501,16.189,1.335,0.212,12.038,76.972,149.515,4.429
+2026-05-21 10:00:18,grey_heron_observed.csv,1.374026822942197697278176284,1.216,2.986,5.533,5.392,0.227,6.26,12.111,0.016,7.41,11.651,0.488,0.393,0.017,3.27,11.01,11.25,6.322,8.754,10.676,6.831,12.182,13.569,10.796,0.034,8.83,7.07,1.861,6.61,8.584,17.176,33.0,1.352,1.297,0.16,12.235,64.464,124.652,4.275
+2026-05-21 10:00:18,grey_heron_observed.csv,0.7661237671231905102984836000,1.105,1.958,1.884,0.512,0.511,6.36,4.537,0.163,7.44,11.202,0.118,0.65,0.025,2.9,10.73,9.49,4.444,15.421,14.539,16.303,8.412,9.826,6.999,0.015,7.89,5.35,6.88,7.07,7.309,23.450,33.27,13.629,0.946,0.026,12.171,94.010,182.159,5.862
+2026-05-21 10:00:19,grey_heron_observed.csv,0.4042261802135402242628175542,1.102,0.276,0.875,2.886,0.735,7.55,5.921,0.032,6.98,19.691,0.467,0.284,0.016,4.56,10.83,10.08,5.302,11.900,16.999,6.802,10.376,8.931,11.821,0.139,8.48,5.48,2.961,6.68,15.45,35.824,53.443,18.204,1.418,0.08,12.186,84.986,165.155,4.817
+2026-05-21 10:00:19,grey_heron_observed.csv,0.3373072604091904509771160875,0.779,3.387,2.4,0.108,0.607,7.03,9.244,0.023,7.55,26.767,0.183,0.73,0.027,4.95,8.73,11.44,4.849,5.137,5.314,4.960,2.990,2.849,3.130,0.017,7.94,6.44,1.113,7.0,17.751,40.902,75.685,6.119,1.724,0.331,12.029,92.615,172.136,13.094
+2026-05-21 10:00:19,grey_heron_observed.csv,0.3687851995102255520477284711,0.734,3.387,1.712,6.223,0.81,7.66,12.457,0.125,6.78,13.41,0.21,0.365,0.003,5.08,8.56,9.69,8.707,10.347,10.319,10.375,7.180,10.156,4.205,0.111,9.44,6.63,1.543,7.31,18.861,29.053,48.188,9.918,1.099,0.318,12.084,43.709,80.067,7.351
+2026-05-21 10:00:20,grey_heron_observed.csv,0.4953473288285071809659881642,1.058,1.195,2.312,5.46,0.433,6.68,10.913,0.09,7.48,16.853,0.203,0.15,0.035,4.82,11.28,11.47,7.407,11.311,6.548,16.074,13.015,12.513,13.517,0.154,9.05,5.37,0.841,6.82,16.288,36.060,66.526,5.595,1.215,0.061,12.264,47.523,89.786,5.26
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diff --git a/modelling/data/abingdon-birds/resident/grey_heron_simulated.csv b/modelling/data/abingdon-birds/resident/grey_heron_simulated.csv
new file mode 100644
index 0000000..ca59511
--- /dev/null
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diff --git a/modelling/data/abingdon-birds/resident/grey_heron_synthesised.csv b/modelling/data/abingdon-birds/resident/grey_heron_synthesised.csv
new file mode 100644
index 0000000..074b55e
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/grey_heron_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-birds/resident/grey_heron_synthesised.png b/modelling/data/abingdon-birds/resident/grey_heron_synthesised.png
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HcmV?d00001

diff --git a/modelling/data/abingdon-birds/resident/greylag_goose_classification.json b/modelling/data/abingdon-birds/resident/greylag_goose_classification.json
new file mode 100644
index 0000000..917fc68
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/greylag_goose_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Greylag Goose",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "moderate",
+    "detectability_peak_timing": "spring",
+    "detectability_trough_timing": "autumn",
+    "spring_carryover": "weak",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "moderate",
+    "pre_summer_retention": "moderate",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "moderate_baseline_presence",
+      "spring_detectability_peak",
+      "autumn_detectability_trough",
+      "weak_spring_carryover",
+      "moderate_summer_suppression",
+      "moderate_summer_decay_acceleration",
+      "moderate_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "decline_biased_response_dynamics"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "target_peak_month": 4,
+    "target_peak_label": "April",
+    "target_trough_month": 9,
+    "target_trough_label": "September",
+    "target_peak_value": 0.8454492433812375,
+    "target_trough_value": 0.1518011301051305,
+    "target_mean_value": 0.3781718655054268,
+    "target_amplitude": 0.693648113276107,
+    "baseline_to_peak_ratio": 0.2957007791504614,
+    "autumn_to_winter_weight_ratio": 0.050966608084358524,
+    "year_end_to_winter_weight_ratio": 0.3409490333919156,
+    "decay_to_growth_ratio": 1.4959546925566343,
+    "monthly_target": {
+      "January": 0.30421298468412555,
+      "February": 0.31930573535796963,
+      "March": 0.4960077677879524,
+      "April": 0.8454492433812375,
+      "May": 0.6774407313389537,
+      "June": 0.35286261078660697,
+      "July": 0.3034442966777619,
+      "August": 0.24899289266141714,
+      "September": 0.1518011301051305,
+      "October": 0.1583647876677532,
+      "November": 0.251005205679679,
+      "December": 0.4291749999365341
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.386,
+    "GROWTH_RATE": 2.472,
+    "DECAY_RATE": 3.698,
+    "SUMMER_DECAY_BOOST": 3.037,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.407,
+    "PRE_SUMMER_DECAY_END": 7.12,
+    "PRE_SUMMER_DECAY_SHARPNESS": 10.087,
+    "SPRING_CARRYOVER_WEIGHT": 0.054,
+    "SPRING_CARRYOVER_END": 7.275,
+    "SPRING_CARRYOVER_SHARPNESS": 13.147,
+    "BASELINE": 0.25,
+    "WINTER_WEIGHT": 0.569,
+    "AUTUMN_WEIGHT": 0.029,
+    "WINTER_PEAK": 4.275,
+    "AUTUMN_PEAK": 10.72,
+    "AUTUMN_ONSET": 10.8,
+    "AUTUMN_GATE_SHARPNESS": 6.285,
+    "WINTER_WIDTH": 10.064,
+    "WINTER_RISE_WIDTH": 9.567,
+    "WINTER_FALL_WIDTH": 11.619,
+    "AUTUMN_WIDTH": 6.726,
+    "AUTUMN_RISE_WIDTH": 5.16,
+    "AUTUMN_FALL_WIDTH": 8.256,
+    "SUMMER_DIP": 0.124,
+    "SUMMER_LOW": 9.29,
+    "SUMMER_ONSET": 7.585,
+    "SUMMER_GATE_SHARPNESS": 4.088,
+    "SUMMER_DECAY_ONSET": 7.055,
+    "SUMMER_DECAY_GATE_SHARPNESS": 12.868,
+    "SUMMER_WIDTH": 25.072,
+    "SUMMER_RISE_WIDTH": 39.901,
+    "SUMMER_FALL_WIDTH": 8.653,
+    "SCALE": 1.048,
+    "YEAR_END_WEIGHT": 0.194,
+    "YEAR_END_PEAK": 12.114,
+    "YEAR_END_WIDTH": 81.78,
+    "YEAR_END_RISE_WIDTH": 155.184,
+    "YEAR_END_FALL_WIDTH": 8.944
+  },
+  "fit": {
+    "score": 0.184
+  },
+  "warnings": [],
+  "summary": "Greylag Goose is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around April and reaches its lowest point around September. The model indicates moderate baseline presence, weak spring carry-over, moderate pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/greylag_goose_consensus.json b/modelling/data/abingdon-birds/resident/greylag_goose_consensus.json
new file mode 100644
index 0000000..fb69e23
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/greylag_goose_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.184",
+  "INITIAL_Y": "0.386",
+  "GROWTH_RATE": "2.472",
+  "DECAY_RATE": "3.698",
+  "SUMMER_DECAY_BOOST": "3.037",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.407",
+  "PRE_SUMMER_DECAY_END": "7.12",
+  "PRE_SUMMER_DECAY_SHARPNESS": "10.087",
+  "SPRING_CARRYOVER_WEIGHT": "0.054",
+  "SPRING_CARRYOVER_END": "7.275",
+  "SPRING_CARRYOVER_SHARPNESS": "13.147",
+  "BASELINE": "0.25",
+  "WINTER_WEIGHT": "0.569",
+  "AUTUMN_WEIGHT": "0.029",
+  "WINTER_PEAK": "4.275",
+  "AUTUMN_PEAK": "10.72",
+  "AUTUMN_ONSET": "10.8",
+  "AUTUMN_GATE_SHARPNESS": "6.285",
+  "WINTER_WIDTH": "10.064",
+  "WINTER_RISE_WIDTH": "9.567",
+  "WINTER_FALL_WIDTH": "11.619",
+  "AUTUMN_WIDTH": "6.726",
+  "AUTUMN_RISE_WIDTH": "5.16",
+  "AUTUMN_FALL_WIDTH": "8.256",
+  "SUMMER_DIP": "0.124",
+  "SUMMER_LOW": "9.29",
+  "SUMMER_ONSET": "7.585",
+  "SUMMER_GATE_SHARPNESS": "4.088",
+  "SUMMER_DECAY_ONSET": "7.055",
+  "SUMMER_DECAY_GATE_SHARPNESS": "12.868",
+  "SUMMER_WIDTH": "25.072",
+  "SUMMER_RISE_WIDTH": "39.901",
+  "SUMMER_FALL_WIDTH": "8.653",
+  "SCALE": "1.048",
+  "YEAR_END_WEIGHT": "0.194",
+  "YEAR_END_PEAK": "12.114",
+  "YEAR_END_WIDTH": "81.78",
+  "YEAR_END_RISE_WIDTH": "155.184",
+  "YEAR_END_FALL_WIDTH": "8.944",
+  "SPECIES": "Greylag Goose"
+}
diff --git a/modelling/data/abingdon-birds/resident/greylag_goose_observed.csv b/modelling/data/abingdon-birds/resident/greylag_goose_observed.csv
new file mode 100644
index 0000000..9d57937
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/greylag_goose_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,14
+2,10
+3,23
+4,36
+5,25
+6,10
+7,8
+8,10
+9,4
+10,4
+11,8
+12,5
diff --git a/modelling/data/abingdon-birds/resident/greylag_goose_parameters.csv b/modelling/data/abingdon-birds/resident/greylag_goose_parameters.csv
new file mode 100644
index 0000000..5ed0d5c
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/greylag_goose_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 10:01:19,greylag_goose_observed.csv,0.2195515476229015950623583115,0.33,2.84,3.924,4.827,0.687,6.55,8.484,0.019,7.19,16.161,0.312,0.337,0.017,5.2,9.69,11.48,6.494,13.196,10.297,16.096,2.754,2.682,2.827,0.087,8.07,8.19,3.841,7.44,13.705,8.099,9.604,6.594,1.032,0.332,12.227,71.602,134.925,8.278
+2026-05-21 10:01:19,greylag_goose_observed.csv,0.2754402138808587642130880144,0.41,0.76,2.26,2.021,0.289,7.28,5.189,0.052,7.6,16.638,0.197,0.639,0.015,5.07,11.47,11.33,10.032,5.375,5.073,5.677,11.696,13.224,10.169,0.183,8.92,6.46,1.339,7.4,6.261,13.422,18.648,8.195,1.31,0.147,12.027,52.050,98.87,5.231
+2026-05-21 10:01:20,greylag_goose_observed.csv,4.034661896027326619659036009,0.64,1.868,0.28,7.925,0.926,7.1,11.835,0.081,7.45,10.724,0.131,0.485,0.033,4.29,11.79,10.36,9.07,7.900,10.926,4.873,13.502,13.571,13.433,0.162,8.05,8.32,3.332,7.48,7.098,13.408,9.079,17.737,1.571,0.129,12.081,52.266,97.657,6.875
+2026-05-21 10:01:20,greylag_goose_observed.csv,3.072402766751471833539181250,0.493,1.179,4.055,4.738,0.533,6.85,7.414,0.067,6.79,10.563,0.281,0.227,0.024,4.3,11.79,11.03,10.794,13.807,9.296,18.318,9.998,13.15,6.847,0.181,9.23,8.42,7.896,6.9,8.252,9.859,18.12,1.598,1.649,0.034,12.019,80.206,154.838,5.573
+2026-05-21 10:01:20,greylag_goose_observed.csv,2.668859380488168428244758182,0.297,3.041,4.821,7.717,0.018,6.56,5.257,0.013,6.61,14.327,0.273,0.108,0.043,4.85,11.19,10.86,2.372,6.784,9.022,4.545,4.716,6.475,2.958,0.202,8.89,6.49,6.175,6.61,13.095,46.450,73.229,19.672,1.498,0.337,12.275,107.589,199.292,15.886
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diff --git a/modelling/data/abingdon-birds/resident/greylag_goose_simulated.csv b/modelling/data/abingdon-birds/resident/greylag_goose_simulated.csv
new file mode 100644
index 0000000..2e89bb1
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/greylag_goose_simulated.csv
@@ -0,0 +1,123 @@
+method,step,t,y,step_size,difference,tolerance,y_normalised
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diff --git a/modelling/data/abingdon-birds/resident/greylag_goose_synthesised.csv b/modelling/data/abingdon-birds/resident/greylag_goose_synthesised.csv
new file mode 100644
index 0000000..b921ef2
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/greylag_goose_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
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+7,8,0.2900093,10.80528735532474
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+9,4,0.142454,5.307610497026925
+10,4,0.1699713,6.332861527744482
+11,8,0.2476443,9.226834530507286
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diff --git a/modelling/data/abingdon-birds/resident/greylag_goose_synthesised.png b/modelling/data/abingdon-birds/resident/greylag_goose_synthesised.png
new file mode 100644
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diff --git a/modelling/data/abingdon-birds/resident/herring_gull_classification.json b/modelling/data/abingdon-birds/resident/herring_gull_classification.json
new file mode 100644
index 0000000..7913e84
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/herring_gull_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Herring Gull",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "strong",
+    "detectability_peak_timing": "winter",
+    "detectability_trough_timing": "autumn",
+    "spring_carryover": "moderate",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "strong",
+    "pre_summer_retention": "moderate",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "strong_baseline_presence",
+      "winter_detectability_peak",
+      "autumn_detectability_trough",
+      "moderate_spring_carryover",
+      "moderate_summer_suppression",
+      "strong_summer_decay_acceleration",
+      "moderate_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "decline_biased_response_dynamics"
+    ],
+    "confidence": "medium"
+  },
+  "derived_metrics": {
+    "target_peak_month": 2,
+    "target_peak_label": "February",
+    "target_trough_month": 9,
+    "target_trough_label": "September",
+    "target_peak_value": 0.8445355871214842,
+    "target_trough_value": 0.25236730326837964,
+    "target_mean_value": 0.5130236659284254,
+    "target_amplitude": 0.5921682838531045,
+    "baseline_to_peak_ratio": 0.46416042849786016,
+    "autumn_to_winter_weight_ratio": 0.0676056338028169,
+    "year_end_to_winter_weight_ratio": 0.6816901408450704,
+    "decay_to_growth_ratio": 0.7728026533996684,
+    "monthly_target": {
+      "January": 0.6188440326476626,
+      "February": 0.8445355871214842,
+      "March": 0.7152420598134012,
+      "April": 0.524142635214259,
+      "May": 0.5041981526208165,
+      "June": 0.504000070928414,
+      "July": 0.48560338632925654,
+      "August": 0.3820528029209812,
+      "September": 0.25236730326837964,
+      "October": 0.316539395299995,
+      "November": 0.39886661249638494,
+      "December": 0.6098919524800703
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.996,
+    "GROWTH_RATE": 2.412,
+    "DECAY_RATE": 1.864,
+    "SUMMER_DECAY_BOOST": 4.397,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.399,
+    "PRE_SUMMER_DECAY_END": 7.1,
+    "PRE_SUMMER_DECAY_SHARPNESS": 7.232,
+    "SPRING_CARRYOVER_WEIGHT": 0.112,
+    "SPRING_CARRYOVER_END": 7.095,
+    "SPRING_CARRYOVER_SHARPNESS": 17.126,
+    "BASELINE": 0.392,
+    "WINTER_WEIGHT": 0.355,
+    "AUTUMN_WEIGHT": 0.024,
+    "WINTER_PEAK": 2.24,
+    "AUTUMN_PEAK": 11.11,
+    "AUTUMN_ONSET": 10.845,
+    "AUTUMN_GATE_SHARPNESS": 6.513,
+    "WINTER_WIDTH": 11.098,
+    "WINTER_RISE_WIDTH": 10.53,
+    "WINTER_FALL_WIDTH": 13.026,
+    "AUTUMN_WIDTH": 7.599,
+    "AUTUMN_RISE_WIDTH": 7.26,
+    "AUTUMN_FALL_WIDTH": 8.61,
+    "SUMMER_DIP": 0.14,
+    "SUMMER_LOW": 9.005,
+    "SUMMER_ONSET": 7.23,
+    "SUMMER_GATE_SHARPNESS": 3.37,
+    "SUMMER_DECAY_ONSET": 7.07,
+    "SUMMER_DECAY_GATE_SHARPNESS": 12.656,
+    "SUMMER_WIDTH": 20.574,
+    "SUMMER_RISE_WIDTH": 36.727,
+    "SUMMER_FALL_WIDTH": 8.993,
+    "SCALE": 1.246,
+    "YEAR_END_WEIGHT": 0.242,
+    "YEAR_END_PEAK": 12.145,
+    "YEAR_END_WIDTH": 78.685,
+    "YEAR_END_RISE_WIDTH": 147.492,
+    "YEAR_END_FALL_WIDTH": 8.476
+  },
+  "fit": {
+    "score": 0.347
+  },
+  "warnings": [],
+  "summary": "Herring Gull is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around February and reaches its lowest point around September. The model indicates strong baseline presence, moderate spring carry-over, moderate pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/herring_gull_consensus.json b/modelling/data/abingdon-birds/resident/herring_gull_consensus.json
new file mode 100644
index 0000000..4309432
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/herring_gull_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.347",
+  "INITIAL_Y": "0.996",
+  "GROWTH_RATE": "2.412",
+  "DECAY_RATE": "1.864",
+  "SUMMER_DECAY_BOOST": "4.397",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.399",
+  "PRE_SUMMER_DECAY_END": "7.1",
+  "PRE_SUMMER_DECAY_SHARPNESS": "7.232",
+  "SPRING_CARRYOVER_WEIGHT": "0.112",
+  "SPRING_CARRYOVER_END": "7.095",
+  "SPRING_CARRYOVER_SHARPNESS": "17.126",
+  "BASELINE": "0.392",
+  "WINTER_WEIGHT": "0.355",
+  "AUTUMN_WEIGHT": "0.024",
+  "WINTER_PEAK": "2.24",
+  "AUTUMN_PEAK": "11.11",
+  "AUTUMN_ONSET": "10.845",
+  "AUTUMN_GATE_SHARPNESS": "6.513",
+  "WINTER_WIDTH": "11.098",
+  "WINTER_RISE_WIDTH": "10.53",
+  "WINTER_FALL_WIDTH": "13.026",
+  "AUTUMN_WIDTH": "7.599",
+  "AUTUMN_RISE_WIDTH": "7.26",
+  "AUTUMN_FALL_WIDTH": "8.61",
+  "SUMMER_DIP": "0.14",
+  "SUMMER_LOW": "9.005",
+  "SUMMER_ONSET": "7.23",
+  "SUMMER_GATE_SHARPNESS": "3.37",
+  "SUMMER_DECAY_ONSET": "7.07",
+  "SUMMER_DECAY_GATE_SHARPNESS": "12.656",
+  "SUMMER_WIDTH": "20.574",
+  "SUMMER_RISE_WIDTH": "36.727",
+  "SUMMER_FALL_WIDTH": "8.993",
+  "SCALE": "1.246",
+  "YEAR_END_WEIGHT": "0.242",
+  "YEAR_END_PEAK": "12.145",
+  "YEAR_END_WIDTH": "78.685",
+  "YEAR_END_RISE_WIDTH": "147.492",
+  "YEAR_END_FALL_WIDTH": "8.476",
+  "SPECIES": "Herring Gull"
+}
diff --git a/modelling/data/abingdon-birds/resident/herring_gull_observed.csv b/modelling/data/abingdon-birds/resident/herring_gull_observed.csv
new file mode 100644
index 0000000..97664bb
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/herring_gull_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,104
+2,68
+3,86
+4,76
+5,60
+6,58
+7,68
+8,51
+9,28
+10,43
+11,71
+12,86
diff --git a/modelling/data/abingdon-birds/resident/herring_gull_parameters.csv b/modelling/data/abingdon-birds/resident/herring_gull_parameters.csv
new file mode 100644
index 0000000..97c415f
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/herring_gull_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 10:02:23,herring_gull_observed.csv,1.153452749119383727873968935,1.053,2.846,5.451,5.373,0.386,6.93,14.888,0.133,6.93,6.158,0.587,0.496,0.033,1.43,10.62,10.78,3.702,3.244,3.624,2.863,2.555,1.093,4.017,0.045,8.14,7.34,7.42,7.4,21.41,21.312,37.615,5.008,1.544,0.227,12.059,117.536,220.881,14.191
+2026-05-21 10:02:23,herring_gull_observed.csv,0.9334088144174865615653900881,0.802,0.281,3.744,5.363,0.14,7.42,13.268,0.109,7.0,11.315,0.466,0.52,0.043,11.53,11.66,11.03,5.438,4.088,0.582,7.593,10.236,8.344,12.128,0.242,8.09,7.38,1.356,7.0,12.698,22.532,36.536,8.527,1.418,0.158,12.118,77.387,146.683,8.091
+2026-05-21 10:02:23,herring_gull_observed.csv,0.6755461174905962913360575036,0.764,3.077,0.379,5.918,0.325,6.65,9.539,0.202,7.16,19.11,0.412,0.334,0.045,1.56,1.29,10.95,5.992,13.468,16.033,10.902,7.152,7.541,6.762,0.141,7.59,7.16,6.74,7.14,15.726,36.116,56.006,16.226,0.833,0.307,12.058,63.770,117.787,9.752
+2026-05-21 10:02:24,herring_gull_observed.csv,0.4861594757103059425474872611,1.015,1.161,2.53,2.306,0.636,6.86,12.346,0.118,7.1,20.623,0.204,0.174,0.026,1.22,11.65,10.56,7.625,15.408,15.256,15.56,11.184,9.635,12.732,0.133,9.45,7.18,1.698,6.95,14.58,40.916,78.115,3.716,1.169,0.156,12.17,46.872,85.488,8.257
+2026-05-21 10:02:24,herring_gull_observed.csv,1.287052529754022698614278234,1.167,1.895,2.925,2.137,0.655,7.52,5.536,0.093,7.59,12.124,0.127,0.359,0.012,11.54,1.19,10.57,10.341,12.684,8.33,17.039,3.904,4.001,3.808,0.055,8.42,7.11,1.929,6.69,10.701,14.110,21.147,7.074,0.932,0.243,12.234,78.900,143.139,14.661
+2026-05-21 10:02:24,herring_gull_observed.csv,0.7584066966415011887835092196,1.11,3.065,2.051,0.11,0.202,7.31,8.777,0.213,7.19,19.912,0.453,0.068,0.009,11.89,10.69,11.29,4.939,15.542,19.236,11.848,4.782,0.837,8.728,0.214,9.49,6.68,0.893,7.1,23.274,16.810,28.233,5.387,0.966,0.089,12.011,58.312,108.293,8.331
+2026-05-21 10:02:25,herring_gull_observed.csv,1.816503778068202698128096062,1.004,1.898,3.536,7.321,0.212,6.52,12.35,0.172,6.7,6.677,0.106,0.002,0.0,1.17,1.45,10.33,6.848,13.762,13.917,13.606,5.853,4.534,7.172,0.083,9.95,8.22,6.574,7.18,9.237,5.854,4.41,7.297,0.922,0.289,12.041,113.208,216.207,10.209
+2026-05-21 10:02:25,herring_gull_observed.csv,0.9867671419276672740408363630,1.241,3.617,3.538,0.156,0.319,7.03,4.021,0.196,7.17,27.227,0.084,0.408,0.033,11.87,1.25,10.72,8.233,9.628,15.41,3.846,10.188,7.074,13.302,0.026,9.72,6.66,7.783,7.1,9.162,13.969,24.784,3.154,1.26,0.176,12.148,121.831,233.842,9.82
+2026-05-21 10:02:25,herring_gull_observed.csv,1.060507451101862460274390789,1.241,2.479,2.853,7.133,0.527,6.46,7.105,0.039,7.18,6.334,0.282,0.218,0.03,2.31,10.79,10.41,6.459,10.710,11.313,10.107,0.560,0.63,0.489,0.088,9.11,8.09,1.724,6.67,18.362,7.520,10.77,4.271,1.096,0.233,12.296,64.673,124.979,4.367
+2026-05-21 10:02:25,herring_gull_observed.csv,1.142977158211646182501732075,1.038,2.567,4.006,0.026,0.563,6.52,12.182,0.216,7.62,10.58,0.186,0.158,0.013,2.44,1.35,10.93,3.874,6.576,6.668,6.485,4.351,4.876,3.826,0.069,9.4,8.27,7.75,7.56,21.589,26.251,38.016,14.486,0.92,0.253,12.236,92.278,178.321,6.236
+2026-05-21 10:02:26,herring_gull_observed.csv,0.3382978138054460959839572953,0.836,2.583,5.452,6.118,0.941,6.79,13.789,0.022,7.56,11.999,0.133,0.018,0.033,1.7,10.56,10.42,11.772,7.657,7.765,7.549,11.610,10.642,12.578,0.146,9.46,6.72,2.459,6.86,12.702,11.454,21.49,1.418,1.146,0.339,12.165,79.707,154.544,4.87
+2026-05-21 10:02:26,herring_gull_observed.csv,0.7823226813954909467903628749,1.049,1.071,5.39,0.57,0.285,7.13,15.634,0.147,7.3,22.738,0.333,0.51,0.039,11.94,10.5,10.76,5.446,15.497,14.261,16.733,13.004,13.835,12.174,0.183,9.61,8.21,2.217,7.12,12.032,40.494,69.711,11.276,1.107,0.008,12.279,113.011,219.815,6.207
+2026-05-21 10:02:26,herring_gull_observed.csv,2.411071685051622685213602525,0.96,0.753,3.446,4.825,0.164,6.29,7.394,0.112,6.55,20.118,0.611,0.255,0.046,1.09,1.44,10.57,4.418,12.206,10.420,13.991,4.530,5.4,3.66,0.238,10.14,6.84,7.693,7.59,10.782,23.250,32.498,14.002,1.76,0.175,12.232,95.002,179.889,10.115
+2026-05-21 10:02:27,herring_gull_observed.csv,0.1893224715866261421147028649,0.792,0.484,0.91,0.312,0.042,6.74,3.38,0.181,6.52,27.879,0.421,0.362,0.036,1.21,1.32,10.48,7.022,8.444,3.271,13.616,4.066,6.058,2.074,0.212,9.37,7.67,4.32,7.25,18.969,19.374,27.353,11.395,1.099,0.158,12.011,80.684,148.787,12.582
+2026-05-21 10:02:27,herring_gull_observed.csv,1.029516554364934725695555117,1.002,2.778,4.964,3.382,0.326,7.18,7.725,0.089,6.57,21.783,0.407,0.339,0.001,2.17,10.88,11.0,2.933,12.152,11.303,13.0,4.036,6.718,1.353,0.15,9.48,8.18,6.209,6.86,11.61,24.617,46.537,2.697,0.89,0.203,12.146,108.417,202.822,14.012
+2026-05-21 10:02:27,herring_gull_observed.csv,1.869282684965442148511034437,0.856,3.857,1.121,3.289,0.72,6.49,7.179,0.14,7.33,11.325,0.296,0.712,0.038,1.26,10.62,10.58,9.493,13.184,17.918,8.449,2.429,3.002,1.856,0.104,8.25,6.62,4.175,7.3,14.226,42.762,73.766,11.757,1.707,0.294,12.196,44.681,80.356,9.006
+2026-05-21 10:02:28,herring_gull_observed.csv,0.7452416977222830685301061261,0.915,2.15,5.776,3.936,0.054,6.86,14.234,0.208,7.25,10.605,0.46,0.004,0.022,1.61,11.7,10.46,9.838,4.742,6.834,2.65,7.996,2.425,13.567,0.077,9.83,6.34,7.917,7.12,19.567,19.762,22.79,16.735,1.073,0.252,12.086,118.340,220.888,15.792
+2026-05-21 10:02:28,herring_gull_observed.csv,0.3089186228886252927563858023,1.195,3.978,2.304,4.974,0.257,6.95,5.563,0.108,7.45,9.399,0.598,0.513,0.006,1.06,11.43,10.8,8.73,8.977,11.225,6.729,2.145,3.714,0.576,0.145,8.74,6.89,7.06,7.1,7.103,18.354,20.26,16.449,1.018,0.032,12.076,71.934,136.09,7.778
+2026-05-21 10:02:28,herring_gull_observed.csv,0.7716772686824244739515140392,0.927,3.301,2.98,4.228,0.742,7.26,3.602,0.065,7.03,10.869,0.146,0.526,0.003,1.6,1.23,11.14,9.032,10.836,9.410,12.263,4.920,0.47,9.371,0.107,7.8,6.88,4.809,7.49,6.112,38.194,71.601,4.787,1.464,0.211,12.146,60.868,112.478,9.259
+2026-05-21 10:02:29,herring_gull_observed.csv,4.681418806900153129053136830,1.086,3.187,3.528,7.085,0.593,7.16,7.644,0.131,7.01,11.86,0.093,0.28,0.027,11.54,1.49,10.98,10.599,9.920,0.927,18.913,6.855,1.599,12.111,0.059,9.48,7.75,6.202,6.76,12.867,21.333,33.465,9.201,1.548,0.045,12.228,74.828,137.212,12.443
+2026-05-21 10:02:29,herring_gull_observed.csv,1.068988259254750019665542291,0.87,3.87,5.253,3.948,0.505,7.49,6.736,0.075,7.51,15.502,0.182,0.361,0.035,1.93,10.59,11.09,10.151,4.924,7.422,2.425,8.320,13.519,3.12,0.213,9.0,6.72,4.496,7.08,16.72,27.039,51.338,2.74,0.8,0.107,12.054,58.260,111.665,4.854
+2026-05-21 10:02:29,herring_gull_observed.csv,0.5208397053530144230583003436,1.289,2.44,1.459,2.329,0.486,7.01,3.379,0.083,7.29,16.211,0.414,0.522,0.013,11.68,11.4,11.13,9.268,15.616,14.551,16.680,7.520,12.316,2.725,0.196,10.21,6.87,1.74,7.38,11.254,20.117,36.401,3.833,1.057,0.247,12.235,57.856,104.722,10.991
+2026-05-21 10:02:30,herring_gull_observed.csv,0.6907540964211607854978952083,0.757,1.617,2.258,0.887,0.39,7.59,3.895,0.131,7.47,25.649,0.095,0.427,0.043,1.66,11.64,11.45,3.496,8.914,11.904,5.923,8.811,12.18,5.442,0.219,8.87,7.33,2.021,7.51,18.095,24.879,46.975,2.783,0.878,0.271,12.205,95.952,185.064,6.839
+2026-05-21 10:02:30,herring_gull_observed.csv,1.240938675964669679931733039,1.256,0.813,1.391,3.028,0.32,7.25,11.273,0.07,6.62,21.726,0.314,0.69,0.027,1.9,10.58,10.66,8.12,1.812,0.84,2.783,1.296,1.761,0.832,0.055,8.97,6.9,5.438,7.41,18.363,15.354,27.858,2.851,1.662,0.204,12.168,61.888,108.898,14.877
+2026-05-21 10:02:30,herring_gull_observed.csv,0.4634474913040760602201364527,1.116,2.515,3.255,3.202,0.61,7.0,5.857,0.162,7.12,26.891,0.202,0.617,0.008,1.65,1.02,10.59,8.235,6.250,9.073,3.427,8.956,7.575,10.337,0.162,9.91,7.58,7.198,6.65,6.366,39.432,69.611,9.253,1.379,0.287,12.07,64.366,122.628,6.103
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diff --git a/modelling/data/abingdon-birds/resident/herring_gull_synthesised.csv b/modelling/data/abingdon-birds/resident/herring_gull_synthesised.csv
new file mode 100644
index 0000000..362c28d
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/herring_gull_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-birds/resident/herring_gull_synthesised.png b/modelling/data/abingdon-birds/resident/herring_gull_synthesised.png
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diff --git a/modelling/data/abingdon-birds/resident/house_sparrow_classification.json b/modelling/data/abingdon-birds/resident/house_sparrow_classification.json
new file mode 100644
index 0000000..4687092
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/house_sparrow_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "House Sparrow",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "strong",
+    "detectability_peak_timing": "late_spring_early_summer",
+    "detectability_trough_timing": "autumn",
+    "spring_carryover": "strong",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "moderate",
+    "pre_summer_retention": "strong",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "strong_baseline_presence",
+      "late_spring_early_summer_detectability_peak",
+      "autumn_detectability_trough",
+      "strong_spring_carryover",
+      "moderate_summer_suppression",
+      "moderate_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "decline_biased_response_dynamics"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "target_peak_month": 5,
+    "target_peak_label": "May",
+    "target_trough_month": 10,
+    "target_trough_label": "October",
+    "target_peak_value": 1.0849149623069607,
+    "target_trough_value": 0.24522183536516706,
+    "target_mean_value": 0.6149644338983231,
+    "target_amplitude": 0.8396931269417937,
+    "baseline_to_peak_ratio": 0.35763171629134666,
+    "autumn_to_winter_weight_ratio": 0.05134474327628362,
+    "year_end_to_winter_weight_ratio": 0.3276283618581907,
+    "decay_to_growth_ratio": 1.274323335771763,
+    "monthly_target": {
+      "January": 0.6860219428975276,
+      "February": 0.6873124351632354,
+      "March": 0.730244463948236,
+      "April": 0.9547377688094566,
+      "May": 1.0849149623069607,
+      "June": 0.8620917243617664,
+      "July": 0.5462290542194506,
+      "August": 0.3885124554671588,
+      "September": 0.3853847375339286,
+      "October": 0.24522183536516706,
+      "November": 0.30579843114365557,
+      "December": 0.5031033955633336
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.759,
+    "GROWTH_RATE": 2.734,
+    "DECAY_RATE": 3.484,
+    "SUMMER_DECAY_BOOST": 3.741,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.524,
+    "PRE_SUMMER_DECAY_END": 7.11,
+    "PRE_SUMMER_DECAY_SHARPNESS": 8.558,
+    "SPRING_CARRYOVER_WEIGHT": 0.298,
+    "SPRING_CARRYOVER_END": 6.99,
+    "SPRING_CARRYOVER_SHARPNESS": 16.872,
+    "BASELINE": 0.388,
+    "WINTER_WEIGHT": 0.409,
+    "AUTUMN_WEIGHT": 0.021,
+    "WINTER_PEAK": 4.79,
+    "AUTUMN_PEAK": 10.855,
+    "AUTUMN_ONSET": 11.355,
+    "AUTUMN_GATE_SHARPNESS": 8.004,
+    "WINTER_WIDTH": 9.438,
+    "WINTER_RISE_WIDTH": 9.748,
+    "WINTER_FALL_WIDTH": 8.256,
+    "AUTUMN_WIDTH": 6.529,
+    "AUTUMN_RISE_WIDTH": 7.472,
+    "AUTUMN_FALL_WIDTH": 6.068,
+    "SUMMER_DIP": 0.148,
+    "SUMMER_LOW": 10.105,
+    "SUMMER_ONSET": 8.255,
+    "SUMMER_GATE_SHARPNESS": 4.784,
+    "SUMMER_DECAY_ONSET": 7.015,
+    "SUMMER_DECAY_GATE_SHARPNESS": 15.738,
+    "SUMMER_WIDTH": 29.904,
+    "SUMMER_RISE_WIDTH": 47.214,
+    "SUMMER_FALL_WIDTH": 10.362,
+    "SCALE": 1.144,
+    "YEAR_END_WEIGHT": 0.134,
+    "YEAR_END_PEAK": 12.121,
+    "YEAR_END_WIDTH": 86.766,
+    "YEAR_END_RISE_WIDTH": 166.07,
+    "YEAR_END_FALL_WIDTH": 8.69
+  },
+  "fit": {
+    "score": 0.167
+  },
+  "warnings": [],
+  "summary": "House Sparrow is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around May and reaches its lowest point around October. The model indicates strong baseline presence, strong spring carry-over, strong pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/house_sparrow_consensus.json b/modelling/data/abingdon-birds/resident/house_sparrow_consensus.json
new file mode 100644
index 0000000..1f1dc73
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/house_sparrow_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.167",
+  "INITIAL_Y": "0.759",
+  "GROWTH_RATE": "2.734",
+  "DECAY_RATE": "3.484",
+  "SUMMER_DECAY_BOOST": "3.741",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.524",
+  "PRE_SUMMER_DECAY_END": "7.11",
+  "PRE_SUMMER_DECAY_SHARPNESS": "8.558",
+  "SPRING_CARRYOVER_WEIGHT": "0.298",
+  "SPRING_CARRYOVER_END": "6.99",
+  "SPRING_CARRYOVER_SHARPNESS": "16.872",
+  "BASELINE": "0.388",
+  "WINTER_WEIGHT": "0.409",
+  "AUTUMN_WEIGHT": "0.021",
+  "WINTER_PEAK": "4.79",
+  "AUTUMN_PEAK": "10.855",
+  "AUTUMN_ONSET": "11.355",
+  "AUTUMN_GATE_SHARPNESS": "8.004",
+  "WINTER_WIDTH": "9.438",
+  "WINTER_RISE_WIDTH": "9.748",
+  "WINTER_FALL_WIDTH": "8.256",
+  "AUTUMN_WIDTH": "6.529",
+  "AUTUMN_RISE_WIDTH": "7.472",
+  "AUTUMN_FALL_WIDTH": "6.068",
+  "SUMMER_DIP": "0.148",
+  "SUMMER_LOW": "10.105",
+  "SUMMER_ONSET": "8.255",
+  "SUMMER_GATE_SHARPNESS": "4.784",
+  "SUMMER_DECAY_ONSET": "7.015",
+  "SUMMER_DECAY_GATE_SHARPNESS": "15.738",
+  "SUMMER_WIDTH": "29.904",
+  "SUMMER_RISE_WIDTH": "47.214",
+  "SUMMER_FALL_WIDTH": "10.362",
+  "SCALE": "1.144",
+  "YEAR_END_WEIGHT": "0.134",
+  "YEAR_END_PEAK": "12.121",
+  "YEAR_END_WIDTH": "86.766",
+  "YEAR_END_RISE_WIDTH": "166.07",
+  "YEAR_END_FALL_WIDTH": "8.69",
+  "SPECIES": "House Sparrow"
+}
diff --git a/modelling/data/abingdon-birds/resident/house_sparrow_observed.csv b/modelling/data/abingdon-birds/resident/house_sparrow_observed.csv
new file mode 100644
index 0000000..3106ccd
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/house_sparrow_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,98
+2,87
+3,108
+4,130
+5,147
+6,126
+7,89
+8,67
+9,57
+10,49
+11,51
+12,55
diff --git a/modelling/data/abingdon-birds/resident/house_sparrow_parameters.csv b/modelling/data/abingdon-birds/resident/house_sparrow_parameters.csv
new file mode 100644
index 0000000..f051972
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/house_sparrow_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
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diff --git a/modelling/data/abingdon-birds/resident/house_sparrow_synthesised.csv b/modelling/data/abingdon-birds/resident/house_sparrow_synthesised.csv
new file mode 100644
index 0000000..419a66f
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/house_sparrow_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-birds/resident/house_sparrow_synthesised.png b/modelling/data/abingdon-birds/resident/house_sparrow_synthesised.png
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diff --git a/modelling/data/abingdon-birds/resident/jackdaw_classification.json b/modelling/data/abingdon-birds/resident/jackdaw_classification.json
new file mode 100644
index 0000000..97224af
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/jackdaw_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Jackdaw",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_spring_persistence_and_summer_suppression",
+    "baseline_presence": "strong",
+    "detectability_peak_timing": "late_spring_early_summer",
+    "detectability_trough_timing": "summer",
+    "spring_carryover": "strong",
+    "summer_suppression": "strong",
+    "summer_decay_acceleration": "moderate",
+    "pre_summer_retention": "strong",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "strong_baseline_presence",
+      "late_spring_early_summer_detectability_peak",
+      "summer_detectability_trough",
+      "strong_spring_carryover",
+      "strong_summer_suppression",
+      "moderate_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "low"
+  },
+  "derived_metrics": {
+    "target_peak_month": 5,
+    "target_peak_label": "May",
+    "target_trough_month": 8,
+    "target_trough_label": "August",
+    "target_peak_value": 1.0855606069296941,
+    "target_trough_value": 0.3794364203481232,
+    "target_mean_value": 0.7203418580614599,
+    "target_amplitude": 0.7061241865815708,
+    "baseline_to_peak_ratio": 0.507571844890725,
+    "autumn_to_winter_weight_ratio": 0.09491525423728814,
+    "year_end_to_winter_weight_ratio": 0.535593220338983,
+    "decay_to_growth_ratio": 1.4302874302874302,
+    "monthly_target": {
+      "January": 0.80002742601049,
+      "February": 0.8000489417626719,
+      "March": 0.806463974124809,
+      "April": 0.8984243632003523,
+      "May": 1.0855606069296941,
+      "June": 0.9729038410845438,
+      "July": 0.6137805534765457,
+      "August": 0.3794364203481232,
+      "September": 0.4718410843872588,
+      "October": 0.5433715199551731,
+      "November": 0.5768452708148974,
+      "December": 0.695398294642959
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.951,
+    "GROWTH_RATE": 2.331,
+    "DECAY_RATE": 3.334,
+    "SUMMER_DECAY_BOOST": 3.832,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.468,
+    "PRE_SUMMER_DECAY_END": 6.905,
+    "PRE_SUMMER_DECAY_SHARPNESS": 10.428,
+    "SPRING_CARRYOVER_WEIGHT": 0.249,
+    "SPRING_CARRYOVER_END": 6.93,
+    "SPRING_CARRYOVER_SHARPNESS": 17.086,
+    "BASELINE": 0.551,
+    "WINTER_WEIGHT": 0.295,
+    "AUTUMN_WEIGHT": 0.028,
+    "WINTER_PEAK": 5.21,
+    "AUTUMN_PEAK": 10.89,
+    "AUTUMN_ONSET": 10.66,
+    "AUTUMN_GATE_SHARPNESS": 7.752,
+    "WINTER_WIDTH": 11.016,
+    "WINTER_RISE_WIDTH": 10.754,
+    "WINTER_FALL_WIDTH": 12.4,
+    "AUTUMN_WIDTH": 7.472,
+    "AUTUMN_RISE_WIDTH": 6.728,
+    "AUTUMN_FALL_WIDTH": 8.124,
+    "SUMMER_DIP": 0.172,
+    "SUMMER_LOW": 7.96,
+    "SUMMER_ONSET": 6.285,
+    "SUMMER_GATE_SHARPNESS": 4.835,
+    "SUMMER_DECAY_ONSET": 7.075,
+    "SUMMER_DECAY_GATE_SHARPNESS": 15.954,
+    "SUMMER_WIDTH": 26.527,
+    "SUMMER_RISE_WIDTH": 40.632,
+    "SUMMER_FALL_WIDTH": 10.338,
+    "SCALE": 1.368,
+    "YEAR_END_WEIGHT": 0.158,
+    "YEAR_END_PEAK": 12.13,
+    "YEAR_END_WIDTH": 89.4,
+    "YEAR_END_RISE_WIDTH": 165.468,
+    "YEAR_END_FALL_WIDTH": 10.85
+  },
+  "fit": {
+    "score": 0.435
+  },
+  "warnings": [],
+  "summary": "Jackdaw is classified as resident with spring persistence and summer suppression. The fitted resident detectability target peaks around May and reaches its lowest point around August. The model indicates strong baseline presence, strong spring carry-over, strong pre-summer retention, strong summer suppression, and moderate summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/jackdaw_consensus.json b/modelling/data/abingdon-birds/resident/jackdaw_consensus.json
new file mode 100644
index 0000000..676abaf
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/jackdaw_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.435",
+  "INITIAL_Y": "0.951",
+  "GROWTH_RATE": "2.331",
+  "DECAY_RATE": "3.334",
+  "SUMMER_DECAY_BOOST": "3.832",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.468",
+  "PRE_SUMMER_DECAY_END": "6.905",
+  "PRE_SUMMER_DECAY_SHARPNESS": "10.428",
+  "SPRING_CARRYOVER_WEIGHT": "0.249",
+  "SPRING_CARRYOVER_END": "6.93",
+  "SPRING_CARRYOVER_SHARPNESS": "17.086",
+  "BASELINE": "0.551",
+  "WINTER_WEIGHT": "0.295",
+  "AUTUMN_WEIGHT": "0.028",
+  "WINTER_PEAK": "5.21",
+  "AUTUMN_PEAK": "10.89",
+  "AUTUMN_ONSET": "10.66",
+  "AUTUMN_GATE_SHARPNESS": "7.752",
+  "WINTER_WIDTH": "11.016",
+  "WINTER_RISE_WIDTH": "10.754",
+  "WINTER_FALL_WIDTH": "12.4",
+  "AUTUMN_WIDTH": "7.472",
+  "AUTUMN_RISE_WIDTH": "6.728",
+  "AUTUMN_FALL_WIDTH": "8.124",
+  "SUMMER_DIP": "0.172",
+  "SUMMER_LOW": "7.96",
+  "SUMMER_ONSET": "6.285",
+  "SUMMER_GATE_SHARPNESS": "4.835",
+  "SUMMER_DECAY_ONSET": "7.075",
+  "SUMMER_DECAY_GATE_SHARPNESS": "15.954",
+  "SUMMER_WIDTH": "26.527",
+  "SUMMER_RISE_WIDTH": "40.632",
+  "SUMMER_FALL_WIDTH": "10.338",
+  "SCALE": "1.368",
+  "YEAR_END_WEIGHT": "0.158",
+  "YEAR_END_PEAK": "12.13",
+  "YEAR_END_WIDTH": "89.4",
+  "YEAR_END_RISE_WIDTH": "165.468",
+  "YEAR_END_FALL_WIDTH": "10.85",
+  "SPECIES": "Jackdaw"
+}
diff --git a/modelling/data/abingdon-birds/resident/jackdaw_observed.csv b/modelling/data/abingdon-birds/resident/jackdaw_observed.csv
new file mode 100644
index 0000000..43f5a8b
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/jackdaw_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,91
+2,72
+3,98
+4,100
+5,110
+6,91
+7,62
+8,56
+9,68
+10,77
+11,101
+12,89
diff --git a/modelling/data/abingdon-birds/resident/jackdaw_parameters.csv b/modelling/data/abingdon-birds/resident/jackdaw_parameters.csv
new file mode 100644
index 0000000..b92c4db
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/jackdaw_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 10:04:30,jackdaw_observed.csv,0.7631238803755975332806572591,0.801,0.995,3.958,4.234,0.337,6.29,15.32,0.118,7.63,15.88,0.622,0.268,0.008,5.88,11.0,9.81,4.887,8.719,13.92,3.518,6.538,4.201,8.874,0.011,8.88,5.74,5.996,6.83,8.356,24.656,31.771,17.542,1.618,0.126,12.23,96.594,182.809,10.38
+2026-05-21 10:04:30,jackdaw_observed.csv,0.7797546054275821228002713212,1.014,0.355,0.438,3.76,0.892,7.06,15.811,0.215,7.13,18.307,0.658,0.655,0.048,3.63,9.58,10.47,9.867,10.174,10.102,10.245,11.246,9.09,13.402,0.091,7.27,5.68,3.818,7.24,11.335,17.584,29.907,5.26,1.707,0.197,12.05,113.200,214.235,12.164
+2026-05-21 10:04:31,jackdaw_observed.csv,1.777522579656785028272816288,0.777,1.114,2.442,5.529,0.552,7.6,10.713,0.053,7.54,9.363,0.818,0.315,0.031,5.81,10.57,10.46,3.96,10.298,15.747,4.85,6.306,6.223,6.388,0.035,7.96,7.32,4.781,6.84,8.515,30.332,53.805,6.86,1.354,0.285,12.289,44.852,81.341,8.362
+2026-05-21 10:04:31,jackdaw_observed.csv,1.920069679058041827863222929,0.915,1.365,2.283,7.652,0.805,7.38,11.394,0.442,7.5,14.746,0.35,0.12,0.046,4.48,10.07,10.09,3.455,11.844,14.437,9.251,7.861,2.37,13.352,0.135,8.25,5.25,2.515,7.52,16.341,36.422,58.793,14.05,1.607,0.277,12.252,60.782,109.9,11.665
+2026-05-21 10:04:31,jackdaw_observed.csv,1.661416933869632692179575330,0.798,2.848,0.606,6.12,0.437,6.4,8.705,0.016,6.51,6.135,0.362,0.072,0.041,6.02,10.57,10.27,9.511,7.441,7.740,7.142,4.654,4.932,4.375,0.117,9.14,5.14,7.625,6.85,11.319,47.316,75.794,18.837,1.655,0.228,12.187,57.938,110.931,4.945
+2026-05-21 10:04:32,jackdaw_observed.csv,0.8301586177828895134989758819,0.807,0.547,1.407,0.367,0.6,7.05,7.003,0.353,7.39,25.013,0.283,0.669,0.005,5.01,11.66,10.45,11.336,19.198,19.832,18.563,11.798,11.729,11.866,0.005,9.35,7.17,7.642,7.48,21.434,16.274,26.802,5.746,1.698,0.114,12.164,105.032,199.923,10.142
+2026-05-21 10:04:32,jackdaw_observed.csv,0.6867447093899093191342870451,1.088,0.601,5.369,7.729,0.007,6.5,4.463,0.366,6.66,9.356,0.616,0.701,0.021,4.39,9.62,10.8,3.046,14.321,19.369,9.273,5.686,1.25,10.121,0.002,6.53,6.99,1.819,7.27,11.392,32.976,50.76,15.193,1.703,0.266,12.282,108.696,207.508,9.883
+2026-05-21 10:04:32,jackdaw_observed.csv,0.4326294400826977343824192971,1.046,3.35,5.283,4.797,0.742,6.73,12.668,0.298,6.51,17.529,0.342,0.46,0.041,4.33,11.04,10.79,10.104,11.016,5.866,16.167,9.270,5.21,13.331,0.113,7.38,5.01,2.654,7.32,9.13,6.056,2.866,9.246,1.172,0.171,12.064,49.388,89.789,8.988
+2026-05-21 10:04:33,jackdaw_observed.csv,1.097596229175960623307572007,0.756,1.735,4.13,3.346,0.794,6.84,9.52,0.084,7.37,16.6,0.292,0.451,0.025,5.15,9.6,10.73,8.762,10.596,11.516,9.676,13.210,12.419,14.000,0.035,9.1,5.51,6.234,7.29,15.916,11.216,20.031,2.4,1.791,0.032,12.074,51.872,99.679,4.066
+2026-05-21 10:04:33,jackdaw_observed.csv,0.4638711656722727065045804457,0.81,3.012,1.735,5.309,0.24,7.39,5.951,0.41,7.5,19.318,0.578,0.206,0.046,5.92,11.5,9.94,4.962,9.298,9.13,9.466,9.198,12.511,5.886,0.068,7.32,5.22,7.632,7.35,21.24,35.448,62.817,8.078,1.548,0.325,12.254,88.035,162.303,13.767
+2026-05-21 10:04:33,jackdaw_observed.csv,0.5296324806028650337222701708,1.108,3.695,3.621,3.646,0.105,7.28,12.942,0.359,7.6,26.282,0.81,0.327,0.019,5.69,10.52,9.7,11.49,14.842,11.752,17.932,6.783,6.749,6.817,0.072,8.66,5.28,3.366,6.98,22.092,37.984,64.137,11.831,1.169,0.325,12.137,44.934,81.943,7.926
+2026-05-21 10:04:34,jackdaw_observed.csv,0.7108411282446985083425568494,1.098,3.442,3.092,3.951,0.748,6.73,6.887,0.242,6.61,13.101,0.373,0.684,0.043,5.02,10.38,10.49,8.831,9.721,11.103,8.339,11.198,11.442,10.955,0.093,6.69,6.29,4.186,6.76,16.809,31.830,46.043,17.618,1.092,0.188,12.274,116.860,218.712,15.008
+2026-05-21 10:04:34,jackdaw_observed.csv,0.4785828577604716737686452360,0.852,2.947,2.416,4.135,0.621,6.37,7.001,0.027,6.72,22.457,0.52,0.566,0.049,3.61,10.93,10.24,7.477,10.536,14.734,6.337,13.157,12.314,14.000,0.184,6.86,7.38,6.879,7.26,13.32,31.313,62.228,0.398,1.757,0.077,12.062,123.754,236.367,11.141
+2026-05-21 10:04:34,jackdaw_observed.csv,1.355558903681045877483320799,0.97,2.289,1.027,1.091,0.344,6.69,9.084,0.168,6.98,27.839,0.515,0.221,0.037,6.26,11.46,10.0,7.544,14.671,17.393,11.949,10.168,11.107,9.230,0.173,7.18,7.38,5.223,6.86,22.729,26.078,36.952,15.205,1.69,0.167,12.025,63.862,114.616,13.107
+2026-05-21 10:04:34,jackdaw_observed.csv,1.218773769229132805091713537,0.585,1.096,3.614,4.309,0.779,6.87,9.768,0.007,7.42,26.465,0.559,0.385,0.027,3.62,10.99,9.31,2.932,11.673,9.958,13.388,8.304,13.213,3.394,0.145,7.77,5.48,2.453,7.08,15.873,32.226,49.094,15.358,0.939,0.133,12.075,68.534,121.848,15.219
+2026-05-21 10:04:35,jackdaw_observed.csv,0.9633493766489339604808955221,1.116,3.179,1.657,1.119,0.315,7.69,12.944,0.3,6.85,17.975,0.851,0.474,0.027,4.43,11.05,10.9,4.126,0.760,0.814,0.707,3.663,6.606,0.72,0.192,7.49,6.33,1.187,7.45,20.022,29.918,49.899,9.938,0.83,0.242,12.046,85.490,161.194,9.787
+2026-05-21 10:04:35,jackdaw_observed.csv,0.4448990099289491631998226874,0.846,2.393,4.504,7.351,0.466,7.73,4.19,0.138,6.65,17.064,0.622,0.519,0.042,4.37,11.72,10.7,6.178,12.129,13.441,10.817,11.794,13.351,10.237,0.159,8.01,5.02,2.389,6.79,7.183,36.475,61.058,11.892,1.394,0.248,12.126,71.974,128.009,15.94
+2026-05-21 10:04:35,jackdaw_observed.csv,0.8031716868851344480786898468,1.174,3.352,2.752,2.014,0.281,6.94,5.234,0.023,6.95,9.457,0.392,0.698,0.042,3.94,9.68,11.0,6.508,6.585,8.243,4.927,6.993,7.594,6.392,0.038,7.89,6.04,3.999,7.11,6.727,12.896,24.056,1.736,1.29,0.233,12.087,96.330,178.002,14.659
+2026-05-21 10:04:36,jackdaw_observed.csv,0.3433786552665501246578979089,0.883,0.426,5.185,7.61,0.641,6.67,15.838,0.092,6.59,17.976,0.764,0.428,0.022,4.68,9.59,10.73,10.631,18.164,17.547,18.781,5.855,11.001,0.709,0.12,8.7,5.45,3.984,6.75,17.963,20.370,30.72,10.019,1.483,0.341,12.145,74.952,142.113,7.79
+2026-05-21 10:04:36,jackdaw_observed.csv,1.323415642274925635732218296,0.834,2.805,3.267,4.517,0.515,6.63,13.499,0.215,6.86,22.173,0.791,0.497,0.031,5.3,11.03,10.51,9.158,6.372,3.311,9.434,10.516,11.362,9.670,0.091,6.57,5.38,4.74,6.88,11.994,28.450,38.309,18.59,1.744,0.17,12.042,88.886,162.073,15.699
+2026-05-21 10:04:36,jackdaw_observed.csv,0.9821490750600876335338763996,0.61,0.588,3.608,4.112,0.784,7.58,14.585,0.006,6.99,21.237,0.497,0.429,0.022,6.05,11.06,9.28,3.874,8.214,4.787,11.642,5.008,9.376,0.639,0.206,8.39,7.23,3.109,7.05,7.283,24.866,46.715,3.018,0.91,0.075,12.053,116.374,221.875,10.872
+2026-05-21 10:04:37,jackdaw_observed.csv,1.625047068566241374352747707,1.033,2.978,5.02,3.471,0.462,6.44,3.816,0.227,7.54,26.948,0.755,0.558,0.006,4.58,11.44,11.26,10.921,12.488,15.934,9.043,5.700,5.59,5.811,0.17,6.89,7.22,7.807,6.8,13.539,16.528,20.858,12.197,0.887,0.198,12.258,53.591,98.61,8.572
+2026-05-21 10:04:37,jackdaw_observed.csv,1.015026772791765445206907187,0.683,0.475,3.065,0.763,0.197,6.51,11.451,0.211,6.51,26.907,0.551,0.398,0.019,4.99,10.61,10.39,3.65,9.816,9.91,9.722,8.948,10.136,7.759,0.151,7.9,6.43,6.599,7.12,22.208,11.409,11.736,11.082,0.905,0.35,12.175,110.184,207.999,12.37
+2026-05-21 10:04:37,jackdaw_observed.csv,1.103945481752512492898063745,0.685,1.585,2.371,6.509,0.022,6.34,14.567,0.309,6.94,27.476,0.598,0.573,0.031,4.65,10.66,10.61,8.539,1.690,2.521,0.86,11.034,11.541,10.528,0.165,8.53,7.41,1.331,7.5,12.529,20.388,36.528,4.247,1.425,0.329,12.163,99.706,193.901,5.512
+2026-05-21 10:04:38,jackdaw_observed.csv,1.299253247518117588566602414,0.728,0.619,4.976,2.431,0.495,7.41,14.335,0.167,6.58,7.527,0.609,0.648,0.012,4.58,11.19,10.89,4.233,9.096,6.074,12.118,6.101,6.644,5.558,0.113,7.01,5.09,2.51,6.93,19.905,43.652,73.565,13.739,1.222,0.112,12.132,99.470,183.548,15.391
+2026-05-21 10:04:38,jackdaw_observed.csv,0.8778752720602805617702119673,0.901,3.238,1.617,1.538,0.868,6.71,13.972,0.165,6.96,22.16,0.708,0.167,0.029,5.73,10.56,9.68,7.05,14.770,17.059,12.481,2.522,2.479,2.566,0.221,7.94,7.37,3.41,7.19,9.715,10.024,15.189,4.86,1.675,0.082,12.038,50.552,90.637,10.466
+2026-05-21 10:04:38,jackdaw_observed.csv,0.6650499922968048317946756774,0.818,0.654,2.702,1.941,0.593,7.33,3.16,0.015,6.59,19.822,0.54,0.686,0.034,6.22,11.23,9.88,4.328,11.630,5.535,17.724,3.798,1.346,6.25,0.237,9.36,7.22,1.559,6.64,20.998,27.578,38.747,16.41,1.099,0.213,12.282,63.886,118.236,9.536
+2026-05-21 10:04:39,jackdaw_observed.csv,0.7487749460231427450372676085,0.938,1.641,0.159,6.551,0.626,7.15,14.865,0.431,7.0,8.57,0.553,0.017,0.018,4.89,10.36,10.17,3.987,7.290,9.029,5.551,4.334,4.015,4.652,0.239,8.28,6.5,5.092,7.4,17.897,39.668,68.191,11.144,1.299,0.268,12.014,110.300,206.181,14.42
+2026-05-21 10:04:39,jackdaw_observed.csv,1.048397080934348030948053374,0.766,2.303,5.064,2.909,0.159,7.51,3.537,0.25,7.54,21.181,0.467,0.487,0.021,4.65,10.44,10.54,2.71,17.531,19.278,15.784,4.415,6.075,2.755,0.028,7.72,5.53,1.031,6.96,15.942,21.179,41.268,1.09,1.196,0.262,12.185,103.630,198.044,9.217
+2026-05-21 10:04:39,jackdaw_observed.csv,0.5156328075562856481994658708,0.918,2.472,2.24,1.11,0.855,6.27,13.445,0.139,7.18,13.358,0.767,0.257,0.029,4.63,9.99,9.9,9.025,9.639,6.461,12.817,4.872,3.992,5.751,0.234,8.27,7.45,6.708,7.5,18.737,14.331,12.718,15.944,0.98,0.048,12.214,115.422,224.167,6.677
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diff --git a/modelling/data/abingdon-birds/resident/jackdaw_synthesised.csv b/modelling/data/abingdon-birds/resident/jackdaw_synthesised.csv
new file mode 100644
index 0000000..2eb6b0a
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/jackdaw_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-birds/resident/jackdaw_synthesised.png b/modelling/data/abingdon-birds/resident/jackdaw_synthesised.png
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diff --git a/modelling/data/abingdon-birds/resident/jay_classification.json b/modelling/data/abingdon-birds/resident/jay_classification.json
new file mode 100644
index 0000000..b68f028
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/jay_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Jay",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "weak",
+    "detectability_peak_timing": "autumn",
+    "detectability_trough_timing": "summer",
+    "spring_carryover": "weak",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "strong",
+    "pre_summer_retention": "strong",
+    "autumn_component": "meaningful",
+    "year_end_component": "meaningful",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "weak_baseline_presence",
+      "autumn_detectability_peak",
+      "summer_detectability_trough",
+      "weak_spring_carryover",
+      "moderate_summer_suppression",
+      "strong_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "meaningful_autumn_component",
+      "meaningful_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "low"
+  },
+  "derived_metrics": {
+    "target_peak_month": 10,
+    "target_peak_label": "October",
+    "target_trough_month": 8,
+    "target_trough_label": "August",
+    "target_peak_value": 0.24747398820984062,
+    "target_trough_value": 0.0,
+    "target_mean_value": 0.10859575234282763,
+    "target_amplitude": 0.24747398820984062,
+    "baseline_to_peak_ratio": 0.14546983406383107,
+    "autumn_to_winter_weight_ratio": 0.1308411214953271,
+    "year_end_to_winter_weight_ratio": 0.7383177570093458,
+    "decay_to_growth_ratio": 1.329608938547486,
+    "monthly_target": {
+      "January": 0.10211848249782211,
+      "February": 0.10200000104206225,
+      "March": 0.10200000000000001,
+      "April": 0.102,
+      "May": 0.10199999999999944,
+      "June": 0.10199972512552061,
+      "July": 0.06884233383832522,
+      "August": 0.0,
+      "September": 0.046936862805024605,
+      "October": 0.24747398820984062,
+      "November": 0.14960198398985217,
+      "December": 0.17817565060548454
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.964,
+    "GROWTH_RATE": 1.611,
+    "DECAY_RATE": 2.142,
+    "SUMMER_DECAY_BOOST": 5.203,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.652,
+    "PRE_SUMMER_DECAY_END": 6.97,
+    "PRE_SUMMER_DECAY_SHARPNESS": 9.579,
+    "SPRING_CARRYOVER_WEIGHT": 0.066,
+    "SPRING_CARRYOVER_END": 7.025,
+    "SPRING_CARRYOVER_SHARPNESS": 16.434,
+    "BASELINE": 0.036,
+    "WINTER_WEIGHT": 0.214,
+    "AUTUMN_WEIGHT": 0.028,
+    "WINTER_PEAK": 10.015,
+    "AUTUMN_PEAK": 10.105,
+    "AUTUMN_ONSET": 10.225,
+    "AUTUMN_GATE_SHARPNESS": 5.652,
+    "WINTER_WIDTH": 12.324,
+    "WINTER_RISE_WIDTH": 13.943,
+    "WINTER_FALL_WIDTH": 12.457,
+    "AUTUMN_WIDTH": 7.298,
+    "AUTUMN_RISE_WIDTH": 5.852,
+    "AUTUMN_FALL_WIDTH": 4.806,
+    "SUMMER_DIP": 0.132,
+    "SUMMER_LOW": 7.995,
+    "SUMMER_ONSET": 6.095,
+    "SUMMER_GATE_SHARPNESS": 3.804,
+    "SUMMER_DECAY_ONSET": 7.17,
+    "SUMMER_DECAY_GATE_SHARPNESS": 15.33,
+    "SUMMER_WIDTH": 25.27,
+    "SUMMER_RISE_WIDTH": 42.635,
+    "SUMMER_FALL_WIDTH": 9.45,
+    "SCALE": 1.284,
+    "YEAR_END_WEIGHT": 0.158,
+    "YEAR_END_PEAK": 12.146,
+    "YEAR_END_WIDTH": 78.982,
+    "YEAR_END_RISE_WIDTH": 145.46,
+    "YEAR_END_FALL_WIDTH": 8.68
+  },
+  "fit": {
+    "score": 0.581
+  },
+  "warnings": [],
+  "summary": "Jay is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around October and reaches its lowest point around August. The model indicates weak baseline presence, weak spring carry-over, strong pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/jay_consensus.json b/modelling/data/abingdon-birds/resident/jay_consensus.json
new file mode 100644
index 0000000..a5f4d56
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/jay_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.581",
+  "INITIAL_Y": "0.964",
+  "GROWTH_RATE": "1.611",
+  "DECAY_RATE": "2.142",
+  "SUMMER_DECAY_BOOST": "5.203",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.652",
+  "PRE_SUMMER_DECAY_END": "6.97",
+  "PRE_SUMMER_DECAY_SHARPNESS": "9.579",
+  "SPRING_CARRYOVER_WEIGHT": "0.066",
+  "SPRING_CARRYOVER_END": "7.025",
+  "SPRING_CARRYOVER_SHARPNESS": "16.434",
+  "BASELINE": "0.036",
+  "WINTER_WEIGHT": "0.214",
+  "AUTUMN_WEIGHT": "0.028",
+  "WINTER_PEAK": "10.015",
+  "AUTUMN_PEAK": "10.105",
+  "AUTUMN_ONSET": "10.225",
+  "AUTUMN_GATE_SHARPNESS": "5.652",
+  "WINTER_WIDTH": "12.324",
+  "WINTER_RISE_WIDTH": "13.943",
+  "WINTER_FALL_WIDTH": "12.457",
+  "AUTUMN_WIDTH": "7.298",
+  "AUTUMN_RISE_WIDTH": "5.852",
+  "AUTUMN_FALL_WIDTH": "4.806",
+  "SUMMER_DIP": "0.132",
+  "SUMMER_LOW": "7.995",
+  "SUMMER_ONSET": "6.095",
+  "SUMMER_GATE_SHARPNESS": "3.804",
+  "SUMMER_DECAY_ONSET": "7.17",
+  "SUMMER_DECAY_GATE_SHARPNESS": "15.33",
+  "SUMMER_WIDTH": "25.27",
+  "SUMMER_RISE_WIDTH": "42.635",
+  "SUMMER_FALL_WIDTH": "9.45",
+  "SCALE": "1.284",
+  "YEAR_END_WEIGHT": "0.158",
+  "YEAR_END_PEAK": "12.146",
+  "YEAR_END_WIDTH": "78.982",
+  "YEAR_END_RISE_WIDTH": "145.46",
+  "YEAR_END_FALL_WIDTH": "8.68",
+  "SPECIES": "Jay"
+}
diff --git a/modelling/data/abingdon-birds/resident/jay_observed.csv b/modelling/data/abingdon-birds/resident/jay_observed.csv
new file mode 100644
index 0000000..d283a96
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/jay_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,9
+2,8
+3,6
+4,7
+5,2
+6,2
+7,2
+8,0
+9,2
+10,10
+11,8
+12,5
diff --git a/modelling/data/abingdon-birds/resident/jay_parameters.csv b/modelling/data/abingdon-birds/resident/jay_parameters.csv
new file mode 100644
index 0000000..5ab79da
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/jay_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 10:05:33,jay_observed.csv,2.693987564343096018604394154,0.785,2.064,5.073,5.453,0.262,6.91,4.15,0.016,6.54,10.39,0.015,0.545,0.046,9.46,10.01,10.72,7.674,8.835,10.215,7.455,9.647,13.344,5.95,0.201,7.78,7.33,7.171,6.8,6.845,11.386,6.72,16.052,0.971,0.086,12.167,91.012,175.355,6.67
+2026-05-21 10:05:34,jay_observed.csv,4.793515245861535926052099826,0.898,3.531,0.708,2.869,0.047,7.03,5.138,0.069,7.15,8.465,0.024,0.304,0.032,8.94,9.02,9.53,4.98,18.056,16.113,20.000,12.270,12.962,11.579,0.181,8.34,6.26,4.55,7.02,14.77,38.560,68.344,8.775,1.148,0.007,12.253,91.527,178.712,4.342
+2026-05-21 10:05:34,jay_observed.csv,0.6920886836896679210129519485,1.05,1.506,3.114,3.723,0.747,7.32,11.466,0.036,7.24,16.216,0.059,0.045,0.042,10.77,11.43,10.81,4.063,2.650,2.334,2.966,2.814,2.437,3.190,0.196,6.77,6.57,6.701,7.18,14.489,4.325,4.253,4.397,1.183,0.085,12.011,52.747,91.043,14.451
+2026-05-21 10:05:34,jay_observed.csv,5.143362150132979662512290370,1.02,2.922,3.08,6.312,0.474,6.54,10.577,0.007,6.68,24.108,0.072,0.325,0.019,8.84,9.86,10.45,8.659,8.068,4.378,11.758,3.568,6.081,1.056,0.237,7.7,6.09,1.261,7.57,11.019,20.244,26.783,13.704,1.424,0.295,12.272,117.730,222.8,12.659
+2026-05-21 10:05:35,jay_observed.csv,1.568948369151004430915193067,1.048,1.128,3.128,2.766,0.689,6.35,8.101,0.024,6.77,14.207,0.029,0.159,0.043,9.08,11.42,9.97,8.739,11.838,5.974,17.702,7.200,1.807,12.593,0.042,8.79,5.55,0.945,6.92,20.32,7.260,3.375,11.144,0.816,0.305,12.051,96.225,186.323,6.127
+2026-05-21 10:05:35,jay_observed.csv,0.4479894180297723532055019333,1.055,0.774,0.608,6.312,0.26,6.99,10.675,0.068,6.72,24.12,0.046,0.296,0.037,10.62,9.24,10.23,7.472,9.724,4.28,15.168,7.673,11.641,3.705,0.084,7.28,6.75,2.014,7.1,11.571,15.404,21.623,9.186,1.149,0.143,12.251,104.044,198.34,9.749
+2026-05-21 10:05:35,jay_observed.csv,0.5513561753140833152437166343,0.713,1.537,5.638,6.935,0.624,6.88,8.048,0.099,6.67,17.549,0.081,0.255,0.024,9.65,8.96,9.74,11.631,14.108,14.54,13.675,2.464,1.053,3.875,0.111,7.71,5.42,1.338,7.09,8.337,43.102,70.489,15.715,1.405,0.175,12.185,61.442,115.478,7.407
+2026-05-21 10:05:36,jay_observed.csv,1.932990138251699932404455751,1.045,1.738,4.676,5.283,0.488,7.55,8.487,0.083,7.45,12.342,0.006,0.589,0.005,10.51,9.75,9.85,5.216,9.345,14.13,4.56,6.173,10.11,2.236,0.206,9.23,6.75,5.162,6.79,16.539,0.854,1.167,0.541,0.851,0.228,12.22,78.725,152.96,4.49
+2026-05-21 10:05:36,jay_observed.csv,1.742446933449975841541383369,0.84,0.475,2.47,1.036,0.035,7.6,9.857,0.029,7.61,24.309,0.03,0.293,0.005,9.49,10.47,10.2,2.151,8.406,7.541,9.272,6.981,1.448,12.514,0.1,9.39,5.67,5.161,6.73,13.784,30.486,46.169,14.804,1.2,0.257,12.232,76.098,142.352,9.844
+2026-05-21 10:05:36,jay_observed.csv,0.6652115830012883866546074067,1.193,1.882,0.903,3.777,0.528,6.44,8.309,0.057,6.82,23.198,0.019,0.255,0.045,11.41,10.67,9.59,11.642,15.669,16.208,15.130,3.888,4.161,3.614,0.002,7.27,7.46,1.328,7.43,15.489,8.488,16.053,0.924,1.308,0.314,12.179,106.916,199.521,14.312
+2026-05-21 10:05:37,jay_observed.csv,0.4868076520912072706275399131,0.72,3.898,1.272,2.731,0.113,6.67,4.123,0.034,7.03,9.99,0.016,0.179,0.008,9.79,8.89,10.64,5.64,9.438,12.291,6.586,5.140,6.004,4.275,0.062,8.98,6.57,5.415,7.02,15.17,2.646,3.411,1.88,1.403,0.284,12.267,87.082,167.274,6.89
+2026-05-21 10:05:37,jay_observed.csv,1.828877677754060778853147278,0.976,3.179,4.922,5.362,0.149,6.37,6.272,0.093,7.1,22.879,0.076,0.204,0.003,11.34,10.8,10.53,2.994,11.773,7.344,16.202,7.988,12.662,3.315,0.164,6.55,5.91,4.922,6.92,7.561,35.584,67.436,3.732,0.929,0.318,12.007,108.512,207.474,9.549
+2026-05-21 10:05:37,jay_observed.csv,6.073553567900816050881009536,0.657,0.36,0.262,0.393,0.672,7.57,4.936,0.047,6.69,9.909,0.055,0.229,0.005,11.02,10.79,11.23,8.563,5.672,0.598,10.745,11.304,13.346,9.261,0.033,9.44,7.15,6.357,7.43,8.468,4.794,3.782,5.807,1.54,0.251,12.285,68.504,131.579,5.43
+2026-05-21 10:05:38,jay_observed.csv,0.5612303108389897854703651840,0.801,2.354,4.778,6.365,0.327,6.34,6.502,0.071,7.03,21.665,0.026,0.253,0.041,10.11,11.12,10.99,3.416,16.750,16.784,16.717,7.467,9.509,5.425,0.171,8.56,7.47,0.998,7.02,19.29,40.288,72.298,8.278,1.684,0.314,12.153,86.328,167.415,5.241
+2026-05-21 10:05:38,jay_observed.csv,4.688759948024341563312508005,0.906,0.732,1.267,0.304,0.121,7.28,12.349,0.067,7.23,23.109,0.032,0.466,0.042,9.1,9.51,10.45,4.443,10.886,16.337,5.436,11.962,11.637,12.286,0.205,9.1,7.42,2.094,7.2,21.657,20.124,35.803,4.446,1.747,0.07,12.207,87.574,166.352,8.796
+2026-05-21 10:05:38,jay_observed.csv,0.5974609024403215377823486750,0.903,2.872,3.012,7.745,0.403,7.12,14.005,0.098,7.0,22.778,0.046,0.15,0.008,10.67,9.55,9.95,2.481,2.378,3.418,1.339,7.648,11.239,4.056,0.044,8.9,5.54,7.407,7.33,18.219,31.096,47.425,14.767,1.601,0.35,12.161,55.488,99.792,11.184
+2026-05-21 10:05:38,jay_observed.csv,7.200701681831355052652069259,0.74,3.964,4.258,3.036,0.584,6.4,13.03,0.088,6.89,12.067,0.019,0.686,0.033,9.45,11.04,10.57,4.091,15.163,17.54,12.786,9.850,11.141,8.559,0.068,8.52,6.93,1.02,7.53,18.586,13.457,16.68,10.234,1.048,0.307,12.216,70.758,130.162,11.353
+2026-05-21 10:05:39,jay_observed.csv,1.361214340147228122468494287,1.225,0.695,0.583,3.755,0.527,6.32,9.736,0.039,7.05,23.186,0.005,0.731,0.041,11.17,10.18,10.88,3.685,13.201,12.133,14.269,5.404,1.435,9.372,0.165,8.78,7.48,4.129,7.02,11.618,16.676,31.0,2.353,1.581,0.059,12.062,59.068,113.857,4.278
+2026-05-21 10:05:39,jay_observed.csv,0.5893065852307739446470174933,0.844,2.138,2.592,1.065,0.699,6.6,12.494,0.004,6.79,21.43,0.057,0.064,0.014,9.64,8.74,10.39,5.112,15.498,16.2,14.796,7.899,12.467,3.331,0.034,8.18,5.1,3.476,7.47,19.542,36.032,64.188,7.875,1.596,0.082,12.031,68.972,130.469,7.475
+2026-05-21 10:05:39,jay_observed.csv,1.119009772975731053612873333,0.88,2.424,2.214,0.736,0.31,6.31,15.592,0.08,6.62,16.217,0.036,0.465,0.029,10.45,10.22,10.45,6.785,4.807,1.114,8.5,8.324,8.772,7.876,0.135,6.62,6.3,7.945,7.13,17.138,26.770,50.763,2.778,0.97,0.046,12.292,85.146,160.207,10.084
+2026-05-21 10:05:40,jay_observed.csv,5.183864384965253170656601273,0.908,3.926,4.032,5.755,0.838,6.56,5.379,0.035,7.51,13.265,0.031,0.339,0.025,9.2,9.28,10.61,2.603,5.760,2.735,8.784,6.676,10.873,2.479,0.135,6.58,6.88,6.76,7.46,21.794,33.228,59.278,7.179,1.345,0.24,12.185,57.136,100.586,13.686
+2026-05-21 10:05:40,jay_observed.csv,0.9384789262010160084718859142,1.057,2.587,4.264,6.699,0.934,6.28,9.284,0.087,7.15,22.914,0.002,0.321,0.024,9.83,9.81,10.38,11.055,9.488,8.576,10.4,3.348,3.162,3.533,0.237,9.26,6.01,2.975,6.99,13.783,12.500,8.521,16.479,1.682,0.053,12.109,121.931,238.383,5.479
+2026-05-21 10:05:40,jay_observed.csv,0.4037264415577430472430500000,1.111,3.318,0.692,0.47,0.648,7.7,13.435,0.021,7.14,15.42,0.066,0.696,0.005,9.87,9.06,9.38,5.288,4.548,5.77,3.326,5.687,4.657,6.717,0.227,8.5,6.52,4.102,6.61,19.825,7.215,12.318,2.112,0.9,0.284,12.09,78.515,151.429,5.601
+2026-05-21 10:05:41,jay_observed.csv,1.588864857974855565781826916,1.153,1.221,3.12,1.992,0.383,7.23,15.035,0.013,7.35,8.2,0.047,0.523,0.003,9.03,10.66,10.27,10.281,9.102,16.52,1.683,13.136,13.833,12.438,0.207,9.22,5.78,1.15,7.28,18.869,8.110,11.655,4.564,1.069,0.096,12.174,75.550,146.721,4.38
+2026-05-21 10:05:41,jay_observed.csv,1.445423785004233592824275661,0.767,3.69,3.025,4.968,0.327,6.32,5.383,0.06,7.55,13.597,0.048,0.005,0.016,9.3,10.5,10.24,9.545,10.150,3.878,16.421,5.484,2.794,8.175,0.199,7.58,6.4,1.87,7.02,6.317,38.898,74.479,3.317,0.998,0.197,12.274,71.631,138.054,5.208
+2026-05-21 10:05:41,jay_observed.csv,1.906445237399386960340483858,0.923,2.325,3.355,0.54,0.535,7.26,12.733,0.032,6.52,14.315,0.063,0.719,0.011,10.99,11.5,11.0,8.875,8.098,2.824,13.372,10.100,10.531,9.668,0.221,9.37,5.18,2.678,6.71,17.212,22.636,35.121,10.15,1.722,0.033,12.139,115.080,221.519,8.64
+2026-05-21 10:05:42,jay_observed.csv,0.9760334234989502682041303699,0.866,0.857,1.524,4.465,0.029,6.89,14.754,0.034,6.56,19.082,0.005,0.521,0.046,10.49,10.69,10.25,9.028,2.398,2.252,2.545,2.360,2.242,2.478,0.191,7.1,5.07,5.432,6.78,9.434,36.106,55.283,16.929,1.648,0.322,12.149,61.882,114.907,8.858
+2026-05-21 10:05:42,jay_observed.csv,0.6931289749694891859568731729,0.78,2.84,2.574,0.671,0.856,7.33,11.727,0.083,7.14,13.15,0.042,0.137,0.001,9.96,9.13,10.64,8.658,13.233,16.86,9.606,8.262,11.601,4.922,0.213,8.5,5.28,3.393,7.51,19.754,23.862,29.314,18.409,0.843,0.264,12.283,63.752,115.316,12.188
+2026-05-21 10:05:42,jay_observed.csv,0.7111339340176402454343257225,1.201,0.46,5.482,5.263,0.863,6.9,13.04,0.002,6.86,7.604,0.006,0.206,0.02,9.8,9.85,9.6,5.665,6.745,10.392,3.098,2.388,1.775,3.002,0.169,8.22,5.09,7.728,6.89,17.874,4.108,6.828,1.388,1.431,0.346,12.036,120.192,231.308,9.077
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diff --git a/modelling/data/abingdon-birds/resident/jay_synthesised.csv b/modelling/data/abingdon-birds/resident/jay_synthesised.csv
new file mode 100644
index 0000000..2b2d8d4
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/jay_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
+1,9,0.7325787,13.776882657907015
+2,8,0.4012327,7.545586332792924
+3,6,0.24399739999999998,4.588617644267299
+4,7,0.1693825,3.185409058170726
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+7,2,0.047040583000000004,0.8846456935623921
+8,0,0.00043220559999999995,0.008128063012602325
+9,2,0.065563626,1.232990233034214
+10,10,0.1917577,3.6061973022832032
+11,8,0.14558,2.737778995400908
+12,5,0.1532176,2.8814117805037656
diff --git a/modelling/data/abingdon-birds/resident/jay_synthesised.png b/modelling/data/abingdon-birds/resident/jay_synthesised.png
new file mode 100644
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diff --git a/modelling/data/abingdon-birds/resident/long_tailed_tit_classification.json b/modelling/data/abingdon-birds/resident/long_tailed_tit_classification.json
new file mode 100644
index 0000000..e0498a1
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/long_tailed_tit_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Long Tailed Tit",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "weak",
+    "detectability_peak_timing": "spring",
+    "detectability_trough_timing": "late_spring_early_summer",
+    "spring_carryover": "weak",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "strong",
+    "pre_summer_retention": "strong",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "weak_baseline_presence",
+      "spring_detectability_peak",
+      "late_spring_early_summer_detectability_trough",
+      "weak_spring_carryover",
+      "moderate_summer_suppression",
+      "strong_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "medium"
+  },
+  "derived_metrics": {
+    "target_peak_month": 3,
+    "target_peak_label": "March",
+    "target_trough_month": 5,
+    "target_trough_label": "May",
+    "target_peak_value": 0.47068776872668894,
+    "target_trough_value": 0.0,
+    "target_mean_value": 0.15154760741292142,
+    "target_amplitude": 0.47068776872668894,
+    "baseline_to_peak_ratio": 0.09348022813303479,
+    "autumn_to_winter_weight_ratio": 0.06313131313131314,
+    "year_end_to_winter_weight_ratio": 0.4393939393939394,
+    "decay_to_growth_ratio": 1.3518164435946463,
+    "monthly_target": {
+      "January": 0.1670295603802078,
+      "February": 0.40623213562271965,
+      "March": 0.47068776872668894,
+      "April": 0.27344319708715903,
+      "May": 0.0,
+      "June": 0.01347300975656178,
+      "July": 0.07728834609976509,
+      "August": 0.043744787645017214,
+      "September": 0.04403168428690156,
+      "October": 0.05495030223680121,
+      "November": 0.06891210576537947,
+      "December": 0.19877839134785516
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.865,
+    "GROWTH_RATE": 2.092,
+    "DECAY_RATE": 2.828,
+    "SUMMER_DECAY_BOOST": 4.102,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.496,
+    "PRE_SUMMER_DECAY_END": 7.04,
+    "PRE_SUMMER_DECAY_SHARPNESS": 10.016,
+    "SPRING_CARRYOVER_WEIGHT": 0.053,
+    "SPRING_CARRYOVER_END": 7.11,
+    "SPRING_CARRYOVER_SHARPNESS": 15.116,
+    "BASELINE": 0.044,
+    "WINTER_WEIGHT": 0.396,
+    "AUTUMN_WEIGHT": 0.025,
+    "WINTER_PEAK": 2.62,
+    "AUTUMN_PEAK": 11.085,
+    "AUTUMN_ONSET": 9.87,
+    "AUTUMN_GATE_SHARPNESS": 5.719,
+    "WINTER_WIDTH": 8.103,
+    "WINTER_RISE_WIDTH": 9.346,
+    "WINTER_FALL_WIDTH": 5.85,
+    "AUTUMN_WIDTH": 6.605,
+    "AUTUMN_RISE_WIDTH": 5.337,
+    "AUTUMN_FALL_WIDTH": 8.283,
+    "SUMMER_DIP": 0.158,
+    "SUMMER_LOW": 5.035,
+    "SUMMER_ONSET": 4.175,
+    "SUMMER_GATE_SHARPNESS": 4.039,
+    "SUMMER_DECAY_ONSET": 7.09,
+    "SUMMER_DECAY_GATE_SHARPNESS": 14.452,
+    "SUMMER_WIDTH": 19.302,
+    "SUMMER_RISE_WIDTH": 31.706,
+    "SUMMER_FALL_WIDTH": 9.523,
+    "SCALE": 1.25,
+    "YEAR_END_WEIGHT": 0.174,
+    "YEAR_END_PEAK": 12.155,
+    "YEAR_END_WIDTH": 79.582,
+    "YEAR_END_RISE_WIDTH": 149.49,
+    "YEAR_END_FALL_WIDTH": 8.574
+  },
+  "fit": {
+    "score": 0.319
+  },
+  "warnings": [],
+  "summary": "Long Tailed Tit is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around March and reaches its lowest point around May. The model indicates weak baseline presence, weak spring carry-over, strong pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/long_tailed_tit_consensus.json b/modelling/data/abingdon-birds/resident/long_tailed_tit_consensus.json
new file mode 100644
index 0000000..7c35765
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/long_tailed_tit_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.319",
+  "INITIAL_Y": "0.865",
+  "GROWTH_RATE": "2.092",
+  "DECAY_RATE": "2.828",
+  "SUMMER_DECAY_BOOST": "4.102",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.496",
+  "PRE_SUMMER_DECAY_END": "7.04",
+  "PRE_SUMMER_DECAY_SHARPNESS": "10.016",
+  "SPRING_CARRYOVER_WEIGHT": "0.053",
+  "SPRING_CARRYOVER_END": "7.11",
+  "SPRING_CARRYOVER_SHARPNESS": "15.116",
+  "BASELINE": "0.044",
+  "WINTER_WEIGHT": "0.396",
+  "AUTUMN_WEIGHT": "0.025",
+  "WINTER_PEAK": "2.62",
+  "AUTUMN_PEAK": "11.085",
+  "AUTUMN_ONSET": "9.87",
+  "AUTUMN_GATE_SHARPNESS": "5.719",
+  "WINTER_WIDTH": "8.103",
+  "WINTER_RISE_WIDTH": "9.346",
+  "WINTER_FALL_WIDTH": "5.85",
+  "AUTUMN_WIDTH": "6.605",
+  "AUTUMN_RISE_WIDTH": "5.337",
+  "AUTUMN_FALL_WIDTH": "8.283",
+  "SUMMER_DIP": "0.158",
+  "SUMMER_LOW": "5.035",
+  "SUMMER_ONSET": "4.175",
+  "SUMMER_GATE_SHARPNESS": "4.039",
+  "SUMMER_DECAY_ONSET": "7.09",
+  "SUMMER_DECAY_GATE_SHARPNESS": "14.452",
+  "SUMMER_WIDTH": "19.302",
+  "SUMMER_RISE_WIDTH": "31.706",
+  "SUMMER_FALL_WIDTH": "9.523",
+  "SCALE": "1.25",
+  "YEAR_END_WEIGHT": "0.174",
+  "YEAR_END_PEAK": "12.155",
+  "YEAR_END_WIDTH": "79.582",
+  "YEAR_END_RISE_WIDTH": "149.49",
+  "YEAR_END_FALL_WIDTH": "8.574",
+  "SPECIES": "Long Tailed Tit"
+}
diff --git a/modelling/data/abingdon-birds/resident/long_tailed_tit_observed.csv b/modelling/data/abingdon-birds/resident/long_tailed_tit_observed.csv
new file mode 100644
index 0000000..832acde
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/long_tailed_tit_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,18
+2,8
+3,21
+4,5
+5,1
+6,2
+7,3
+8,1
+9,3
+10,5
+11,3
+12,12
diff --git a/modelling/data/abingdon-birds/resident/long_tailed_tit_parameters.csv b/modelling/data/abingdon-birds/resident/long_tailed_tit_parameters.csv
new file mode 100644
index 0000000..7f335ec
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/long_tailed_tit_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
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+2026-05-21 10:06:37,long_tailed_tit_observed.csv,0.4584260075464196558401822675,0.976,0.468,1.975,6.193,0.828,7.43,9.208,0.093,6.84,10.331,0.009,0.428,0.01,2.48,11.25,10.58,3.84,11.992,11.357,12.628,2.324,2.561,2.086,0.048,4.93,3.62,5.294,6.79,17.764,33.158,55.971,10.344,0.91,0.042,12.194,105.247,205.026,5.468
+2026-05-21 10:06:38,long_tailed_tit_observed.csv,0.3383579764223935286103654978,1.008,3.935,1.323,4.236,0.407,6.33,10.861,0.045,6.8,15.429,0.018,0.252,0.015,2.33,10.66,10.01,5.569,5.432,6.907,3.957,2.492,2.726,2.257,0.159,4.76,4.04,3.909,7.43,6.82,17.387,23.748,11.026,1.349,0.221,12.01,48.898,84.799,12.996
+2026-05-21 10:06:38,long_tailed_tit_observed.csv,2.459797945504314136614982330,0.795,2.839,1.573,3.887,0.819,7.71,9.597,0.016,7.47,7.881,0.071,0.393,0.032,3.94,10.69,9.81,7.644,0.913,1.411,0.415,5.768,9.256,2.281,0.133,4.17,4.59,4.817,6.91,7.344,38.874,63.999,13.748,1.671,0.286,12.028,59.886,110.456,9.317
+2026-05-21 10:06:38,long_tailed_tit_observed.csv,0.4595203310386520577987992043,0.782,2.596,2.437,2.391,0.7,7.31,7.398,0.084,7.35,24.707,0.069,0.739,0.032,4.44,11.59,10.96,8.164,17.514,17.194,17.833,2.449,1.336,3.562,0.178,3.72,3.62,6.426,6.99,13.872,27.970,36.722,19.218,1.207,0.233,12.02,57.988,104.243,11.733
+2026-05-21 10:06:39,long_tailed_tit_observed.csv,0.4336090986471079196825246852,0.666,2.66,1.641,1.466,0.102,6.26,6.242,0.02,7.05,13.412,0.006,0.584,0.027,4.07,1.48,9.89,3.106,8.377,7.212,9.542,7.625,9.186,6.064,0.156,5.83,4.53,1.813,6.91,16.262,13.574,17.87,9.279,1.283,0.215,12.213,58.693,105.577,11.809
+2026-05-21 10:06:39,long_tailed_tit_observed.csv,0.4343616409123215354662507458,1.187,1.37,2.206,3.761,0.868,6.79,9.57,0.078,6.99,10.272,0.061,0.315,0.03,2.91,1.4,10.76,5.731,6.252,8.112,4.391,6.454,4.801,8.106,0.211,4.41,4.38,2.073,7.52,15.426,39.172,69.075,9.27,1.302,0.077,12.166,79.770,149.838,9.702
+2026-05-21 10:06:39,long_tailed_tit_observed.csv,3.806395693949371166548330865,1.072,2.437,1.515,4.1,0.489,7.24,6.025,0.034,7.39,8.192,0.04,0.719,0.039,1.58,11.23,9.99,5.834,2.273,1.422,3.124,11.554,9.513,13.595,0.221,5.86,4.38,3.632,7.43,9.421,5.292,9.01,1.574,1.652,0.185,12.019,109.831,213.498,6.164
+2026-05-21 10:06:39,long_tailed_tit_observed.csv,0.4669812503197902228380913691,0.796,2.172,5.727,2.788,0.054,7.22,9.31,0.005,6.65,24.088,0.012,0.228,0.034,2.34,1.25,10.95,4.255,9.514,1.194,17.834,9.314,9.418,9.211,0.244,5.25,3.83,1.55,7.15,10.635,37.603,70.521,4.685,1.782,0.11,12.099,80.912,147.332,14.493
+2026-05-21 10:06:40,long_tailed_tit_observed.csv,0.4026343780638676241361179019,1.084,3.845,5.242,2.131,0.48,6.5,13.833,0.095,6.83,21.483,0.056,0.247,0.042,3.31,10.95,10.28,7.531,9.329,15.035,3.623,12.984,12.6,13.367,0.035,5.29,4.24,3.628,7.3,12.281,8.510,13.03,3.991,1.67,0.184,12.279,65.638,125.691,5.585
+2026-05-21 10:06:40,long_tailed_tit_observed.csv,0.2423922213342911310823349238,1.198,1.804,3.684,3.812,0.577,7.02,4.616,0.076,7.39,27.756,0.079,0.108,0.019,2.56,11.85,9.11,5.218,19.556,19.770,19.342,3.904,3.654,4.154,0.208,5.0,4.17,6.571,7.28,7.809,14.832,10.361,19.302,1.711,0.334,12.214,62.838,114.849,10.826
+2026-05-21 10:06:40,long_tailed_tit_observed.csv,0.3614606344407678203404676374,0.822,2.474,1.203,0.252,0.252,6.5,5.085,0.052,6.6,15.594,0.045,0.276,0.046,3.33,1.39,10.9,4.387,11.068,16.107,6.028,7.370,3.69,11.051,0.119,5.07,3.88,7.975,6.64,18.887,17.868,35.148,0.589,1.139,0.131,12.044,77.612,149.667,5.558
+2026-05-21 10:06:41,long_tailed_tit_observed.csv,0.4301482415671527899545235081,1.047,0.866,1.39,7.884,0.369,6.29,15.448,0.07,6.56,6.708,0.014,0.032,0.049,1.88,10.93,10.3,3.723,9.110,1.418,16.803,5.507,7.571,3.443,0.205,3.51,4.83,1.614,7.1,20.114,5.512,3.722,7.301,1.231,0.227,12.141,62.950,114.911,10.989
+2026-05-21 10:06:41,long_tailed_tit_observed.csv,0.9263543230970736199950836207,1.014,1.39,5.114,6.249,0.931,7.56,12.297,0.045,6.68,10.698,0.033,0.535,0.027,2.85,10.56,9.19,2.506,7.772,14.45,1.093,6.564,5.483,7.644,0.008,4.22,4.86,5.638,6.72,12.04,47.982,78.999,16.965,1.597,0.246,12.208,122.876,232.984,12.769
+2026-05-21 10:06:41,long_tailed_tit_observed.csv,0.6550009445510153032237300737,0.631,2.881,5.439,4.866,0.825,6.87,3.189,0.098,7.22,9.512,0.088,0.584,0.021,4.26,11.17,10.36,4.038,7.640,10.669,4.61,8.848,12.477,5.218,0.01,6.08,3.63,3.211,7.56,21.847,13.256,9.989,16.523,1.143,0.138,12.174,45.576,83.866,7.286
+2026-05-21 10:06:42,long_tailed_tit_observed.csv,0.6840303833707341902741363726,0.916,1.497,3.33,7.883,0.32,6.68,3.802,0.033,6.85,19.425,0.047,0.374,0.027,2.62,11.4,10.37,10.219,3.826,7.075,0.577,4.432,7.455,1.408,0.043,5.11,4.5,5.546,7.25,22.857,13.328,21.598,5.058,1.149,0.005,12.228,125.510,237.807,13.212
+2026-05-21 10:06:42,long_tailed_tit_observed.csv,0.4409477154361475332687880168,0.848,0.646,2.12,2.108,0.472,6.57,15.144,0.002,7.06,21.753,0.037,0.334,0.013,1.84,11.41,9.79,11.663,10.266,10.531,10.001,7.556,8.931,6.182,0.017,3.85,3.6,7.444,7.56,18.381,1.891,1.005,2.777,1.484,0.335,12.159,75.704,146.062,5.346
+2026-05-21 10:06:42,long_tailed_tit_observed.csv,0.3381140689678770143932491457,1.033,0.39,5.475,4.294,0.781,7.6,6.645,0.079,7.16,12.262,0.038,0.149,0.039,3.76,1.47,9.83,11.249,5.642,1.494,9.791,5.811,6.81,4.812,0.067,6.4,4.86,5.817,7.16,6.455,40.372,79.535,1.21,1.558,0.35,12.101,81.047,150.369,11.725
+2026-05-21 10:06:43,long_tailed_tit_observed.csv,0.3413774118749785964392889115,1.088,1.568,0.941,5.921,0.666,6.36,9.851,0.088,6.56,11.817,0.024,0.318,0.018,4.21,1.14,10.69,2.017,14.090,11.974,16.206,1.920,1.645,2.196,0.197,5.88,4.67,1.234,7.35,6.234,12.496,6.802,18.189,1.113,0.132,12.123,50.766,92.907,8.625
+2026-05-21 10:06:43,long_tailed_tit_observed.csv,1.099999637243868836511084821,0.842,3.561,4.704,5.148,0.122,7.28,3.618,0.069,7.08,23.718,0.078,0.17,0.012,1.63,10.53,10.2,10.287,8.074,3.411,12.738,3.676,1.016,6.337,0.013,3.59,3.88,7.082,7.16,18.78,11.058,2.584,19.531,0.956,0.17,12.082,77.098,140.432,13.763
+2026-05-21 10:06:43,long_tailed_tit_observed.csv,0.5279943286708478959881882212,0.893,2.924,2.636,4.251,0.586,6.72,10.495,0.071,7.05,21.643,0.02,0.531,0.042,2.26,1.04,9.91,8.953,10.480,3.273,17.687,12.084,11.542,12.626,0.241,3.71,3.88,7.355,7.42,10.56,11.828,18.564,5.091,1.391,0.042,12.287,121.568,229.684,13.451
+2026-05-21 10:06:44,long_tailed_tit_observed.csv,0.4582086358827112407461233472,0.811,1.094,2.053,2.953,0.81,7.32,8.845,0.032,7.01,27.783,0.007,0.323,0.025,3.11,10.97,9.93,2.353,10.588,10.850,10.327,6.834,8.61,5.058,0.153,6.2,4.14,2.015,6.99,7.655,35.473,59.475,11.471,1.4,0.277,12.281,92.931,178.271,7.591
+2026-05-21 10:06:44,long_tailed_tit_observed.csv,0.7075098390253834493819455704,1.181,2.212,1.383,0.006,0.493,6.89,5.977,0.03,7.27,16.111,0.078,0.276,0.006,4.13,1.27,11.12,2.109,12.956,12.51,13.402,12.098,12.607,11.589,0.008,4.16,3.75,5.263,6.61,11.507,34.124,64.414,3.833,0.957,0.062,12.224,97.638,187.523,7.753
+2026-05-21 10:06:44,long_tailed_tit_observed.csv,0.5870924369773856980432203531,1.069,3.035,0.666,5.384,0.292,6.69,14.902,0.042,7.59,14.914,0.039,0.007,0.023,1.5,11.39,8.86,10.295,6.486,11.646,1.327,7.283,10.662,3.904,0.185,5.96,3.65,6.418,7.59,22.922,6.006,4.3,7.711,0.891,0.103,12.105,84.848,154.056,15.641
+2026-05-21 10:06:44,long_tailed_tit_observed.csv,1.745527130947650601703365515,1.03,1.92,0.62,0.625,0.81,6.34,15.364,0.091,6.93,17.886,0.041,0.586,0.032,3.38,1.2,11.35,7.965,9.652,3.748,15.557,9.174,11.539,6.808,0.183,3.98,3.62,2.025,7.12,17.286,25.200,43.103,7.297,1.572,0.257,12.181,105.560,196.505,14.614
+2026-05-21 10:06:45,long_tailed_tit_observed.csv,1.287296534162627479694063960,1.041,2.4,3.511,1.498,0.088,7.29,13.963,0.009,6.87,7.03,0.049,0.282,0.007,4.3,11.73,11.09,7.917,10.722,8.743,12.702,10.706,8.97,12.442,0.143,3.63,3.93,1.345,6.85,23.118,39.916,66.419,13.413,1.244,0.345,12.111,90.489,167.556,13.422
+2026-05-21 10:06:45,long_tailed_tit_observed.csv,1.004611997361622513877328812,0.699,1.422,5.466,3.738,0.316,6.3,11.338,0.026,6.56,8.009,0.011,0.146,0.018,4.27,11.44,9.83,6.269,16.230,16.503,15.958,4.026,2.889,5.164,0.226,5.97,4.72,3.284,6.99,14.906,6.296,10.878,1.715,1.678,0.009,12.245,68.688,124.804,12.573
+2026-05-21 10:06:45,long_tailed_tit_observed.csv,36.59431973386581913711173671,0.952,0.524,3.296,3.931,0.733,7.24,15.24,0.05,7.57,26.885,0.01,0.384,0.031,4.25,11.07,9.66,3.458,4.569,8.728,0.41,6.856,12.846,0.866,0.109,5.23,4.96,0.895,6.81,19.886,27.800,41.217,14.383,1.341,0.085,12.198,72.542,131.455,13.63
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diff --git a/modelling/data/abingdon-birds/resident/long_tailed_tit_synthesised.csv b/modelling/data/abingdon-birds/resident/long_tailed_tit_synthesised.csv
new file mode 100644
index 0000000..7db6108
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/long_tailed_tit_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
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+11,3,0.06934757999999999,2.172580392078145
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diff --git a/modelling/data/abingdon-birds/resident/long_tailed_tit_synthesised.png b/modelling/data/abingdon-birds/resident/long_tailed_tit_synthesised.png
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diff --git a/modelling/data/abingdon-birds/resident/magpie_classification.json b/modelling/data/abingdon-birds/resident/magpie_classification.json
new file mode 100644
index 0000000..571e16a
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/magpie_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Magpie",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_spring_persistence_and_summer_suppression",
+    "baseline_presence": "strong",
+    "detectability_peak_timing": "winter",
+    "detectability_trough_timing": "summer",
+    "spring_carryover": "strong",
+    "summer_suppression": "strong",
+    "summer_decay_acceleration": "strong",
+    "pre_summer_retention": "moderate",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "strong_baseline_presence",
+      "winter_detectability_peak",
+      "summer_detectability_trough",
+      "strong_spring_carryover",
+      "strong_summer_suppression",
+      "strong_summer_decay_acceleration",
+      "moderate_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "low"
+  },
+  "derived_metrics": {
+    "target_peak_month": 2,
+    "target_peak_label": "February",
+    "target_trough_month": 8,
+    "target_trough_label": "August",
+    "target_peak_value": 1.2467964363947392,
+    "target_trough_value": 0.528501487533441,
+    "target_mean_value": 0.8662751790538733,
+    "target_amplitude": 0.7182949488612982,
+    "baseline_to_peak_ratio": 0.5453977731652019,
+    "autumn_to_winter_weight_ratio": 0.06287425149700598,
+    "year_end_to_winter_weight_ratio": 0.46407185628742514,
+    "decay_to_growth_ratio": 1.3685051958433254,
+    "monthly_target": {
+      "January": 1.130873428724485,
+      "February": 1.2467964363947392,
+      "March": 1.1039852316090435,
+      "April": 0.9343077935437688,
+      "May": 0.9162034711620163,
+      "June": 0.9160000755661624,
+      "July": 0.7746361122664497,
+      "August": 0.528501487533441,
+      "September": 0.5852748528416601,
+      "October": 0.6699984273920512,
+      "November": 0.7096624369114307,
+      "December": 0.879062394701232
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.948,
+    "GROWTH_RATE": 2.502,
+    "DECAY_RATE": 3.424,
+    "SUMMER_DECAY_BOOST": 4.088,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.438,
+    "PRE_SUMMER_DECAY_END": 7.015,
+    "PRE_SUMMER_DECAY_SHARPNESS": 8.662,
+    "SPRING_CARRYOVER_WEIGHT": 0.236,
+    "SPRING_CARRYOVER_END": 6.98,
+    "SPRING_CARRYOVER_SHARPNESS": 17.536,
+    "BASELINE": 0.68,
+    "WINTER_WEIGHT": 0.334,
+    "AUTUMN_WEIGHT": 0.021,
+    "WINTER_PEAK": 2.175,
+    "AUTUMN_PEAK": 11.01,
+    "AUTUMN_ONSET": 10.25,
+    "AUTUMN_GATE_SHARPNESS": 8.01,
+    "WINTER_WIDTH": 8.989,
+    "WINTER_RISE_WIDTH": 4.59,
+    "WINTER_FALL_WIDTH": 12.225,
+    "AUTUMN_WIDTH": 6.896,
+    "AUTUMN_RISE_WIDTH": 7.629,
+    "AUTUMN_FALL_WIDTH": 5.65,
+    "SUMMER_DIP": 0.162,
+    "SUMMER_LOW": 8.15,
+    "SUMMER_ONSET": 6.6,
+    "SUMMER_GATE_SHARPNESS": 4.378,
+    "SUMMER_DECAY_ONSET": 6.92,
+    "SUMMER_DECAY_GATE_SHARPNESS": 14.188,
+    "SUMMER_WIDTH": 26.104,
+    "SUMMER_RISE_WIDTH": 42.038,
+    "SUMMER_FALL_WIDTH": 10.746,
+    "SCALE": 1.348,
+    "YEAR_END_WEIGHT": 0.155,
+    "YEAR_END_PEAK": 12.162,
+    "YEAR_END_WIDTH": 86.157,
+    "YEAR_END_RISE_WIDTH": 162.472,
+    "YEAR_END_FALL_WIDTH": 10.124
+  },
+  "fit": {
+    "score": 0.45
+  },
+  "warnings": [],
+  "summary": "Magpie is classified as resident with spring persistence and summer suppression. The fitted resident detectability target peaks around February and reaches its lowest point around August. The model indicates strong baseline presence, strong spring carry-over, moderate pre-summer retention, strong summer suppression, and strong summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/magpie_consensus.json b/modelling/data/abingdon-birds/resident/magpie_consensus.json
new file mode 100644
index 0000000..a2e6524
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/magpie_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.45",
+  "INITIAL_Y": "0.948",
+  "GROWTH_RATE": "2.502",
+  "DECAY_RATE": "3.424",
+  "SUMMER_DECAY_BOOST": "4.088",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.438",
+  "PRE_SUMMER_DECAY_END": "7.015",
+  "PRE_SUMMER_DECAY_SHARPNESS": "8.662",
+  "SPRING_CARRYOVER_WEIGHT": "0.236",
+  "SPRING_CARRYOVER_END": "6.98",
+  "SPRING_CARRYOVER_SHARPNESS": "17.536",
+  "BASELINE": "0.68",
+  "WINTER_WEIGHT": "0.334",
+  "AUTUMN_WEIGHT": "0.021",
+  "WINTER_PEAK": "2.175",
+  "AUTUMN_PEAK": "11.01",
+  "AUTUMN_ONSET": "10.25",
+  "AUTUMN_GATE_SHARPNESS": "8.01",
+  "WINTER_WIDTH": "8.989",
+  "WINTER_RISE_WIDTH": "4.59",
+  "WINTER_FALL_WIDTH": "12.225",
+  "AUTUMN_WIDTH": "6.896",
+  "AUTUMN_RISE_WIDTH": "7.629",
+  "AUTUMN_FALL_WIDTH": "5.65",
+  "SUMMER_DIP": "0.162",
+  "SUMMER_LOW": "8.15",
+  "SUMMER_ONSET": "6.6",
+  "SUMMER_GATE_SHARPNESS": "4.378",
+  "SUMMER_DECAY_ONSET": "6.92",
+  "SUMMER_DECAY_GATE_SHARPNESS": "14.188",
+  "SUMMER_WIDTH": "26.104",
+  "SUMMER_RISE_WIDTH": "42.038",
+  "SUMMER_FALL_WIDTH": "10.746",
+  "SCALE": "1.348",
+  "YEAR_END_WEIGHT": "0.155",
+  "YEAR_END_PEAK": "12.162",
+  "YEAR_END_WIDTH": "86.157",
+  "YEAR_END_RISE_WIDTH": "162.472",
+  "YEAR_END_FALL_WIDTH": "10.124",
+  "SPECIES": "Magpie"
+}
diff --git a/modelling/data/abingdon-birds/resident/magpie_observed.csv b/modelling/data/abingdon-birds/resident/magpie_observed.csv
new file mode 100644
index 0000000..9d31e56
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/magpie_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,158
+2,133
+3,131
+4,124
+5,122
+6,113
+7,118
+8,102
+9,108
+10,112
+11,134
+12,141
diff --git a/modelling/data/abingdon-birds/resident/magpie_parameters.csv b/modelling/data/abingdon-birds/resident/magpie_parameters.csv
new file mode 100644
index 0000000..84f493d
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/magpie_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 10:07:41,magpie_observed.csv,0.4814524130480676821437167918,1.176,1.44,0.274,7.388,0.771,6.8,7.093,0.133,6.93,26.659,0.447,0.381,0.017,2.14,11.35,10.08,11.647,9.896,3.408,16.385,2.356,1.23,3.482,0.122,8.26,5.35,4.332,7.22,22.153,45.462,74.566,16.359,0.981,0.24,12.225,93.148,180.039,6.258
+2026-05-21 10:07:41,magpie_observed.csv,0.6511804046333030907162644890,1.169,1.665,2.586,3.252,0.21,7.27,10.195,0.122,7.37,10.641,0.517,0.332,0.014,2.25,10.88,9.61,2.234,3.304,3.415,3.194,5.841,8.547,3.135,0.128,7.83,6.4,4.92,7.41,10.966,38.194,56.396,19.991,1.642,0.214,12.174,50.180,89.148,11.212
+2026-05-21 10:07:41,magpie_observed.csv,0.4535403956571650766727356160,1.128,2.465,5.585,5.308,0.675,7.1,13.211,0.052,6.63,10.752,0.77,0.023,0.022,2.15,11.45,11.15,5.84,9.532,15.987,3.077,8.743,9.366,8.120,0.085,8.84,6.92,6.019,6.97,10.917,17.299,20.535,14.063,1.785,0.143,12.061,58.426,112.369,4.482
+2026-05-21 10:07:42,magpie_observed.csv,0.8480184225325626178220897132,1.181,0.975,1.311,4.135,0.555,7.29,14.971,0.363,6.84,26.918,0.466,0.577,0.009,1.88,11.99,10.24,3.943,1.104,1.164,1.045,7.952,12.168,3.736,0.08,8.95,6.22,2.576,7.55,13.318,11.938,18.369,5.507,0.834,0.184,12.093,46.922,82.117,11.728
+2026-05-21 10:07:42,magpie_observed.csv,1.253721233977714704189433162,0.932,2.159,2.246,4.084,0.45,7.29,7.045,0.095,7.62,26.564,0.863,0.217,0.018,2.04,11.15,11.26,5.124,17.572,18.857,16.287,12.724,12.0,13.447,0.017,9.23,5.9,5.337,7.06,8.869,15.810,17.725,13.895,1.121,0.106,12.137,61.278,109.409,13.148
+2026-05-21 10:07:42,magpie_observed.csv,0.7844392386331876387687361136,0.75,3.502,3.083,5.978,0.061,7.64,5.86,0.196,6.55,6.642,0.514,0.148,0.05,2.35,11.79,11.17,5.838,5.216,8.186,2.246,6.856,7.971,5.741,0.224,7.25,5.72,1.297,7.03,22.175,27.495,52.884,2.106,1.508,0.166,12.152,116.444,225.898,6.989
+2026-05-21 10:07:43,magpie_observed.csv,0.4750942904607944656869321433,0.877,0.287,5.361,3.949,0.07,6.95,6.508,0.19,7.58,27.293,0.722,0.681,0.003,11.67,11.46,9.95,8.083,13.929,11.863,15.995,5.124,9.76,0.488,0.076,8.3,5.88,4.718,6.74,6.325,24.418,37.927,10.909,1.489,0.335,12.077,64.899,124.836,4.962
+2026-05-21 10:07:43,magpie_observed.csv,0.8643723115786890104363006500,1.338,1.813,4.532,0.848,0.651,6.34,4.366,0.324,7.23,22.529,0.731,0.575,0.004,1.85,10.9,9.28,7.933,16.436,17.472,15.399,13.159,14.000,12.318,0.189,6.58,5.14,5.6,7.24,7.88,31.286,55.389,7.184,1.705,0.087,12.273,121.178,228.565,13.79
+2026-05-21 10:07:43,magpie_observed.csv,0.7543482235956973482351941126,0.93,0.676,3.29,1.129,0.033,7.29,3.451,0.173,6.63,11.623,0.804,0.119,0.007,1.65,11.42,10.79,9.2,14.594,13.97,15.218,8.502,5.119,11.885,0.045,6.99,6.88,6.79,6.68,7.87,15.414,25.416,5.411,0.94,0.326,12.244,55.572,104.313,6.831
+2026-05-21 10:07:44,magpie_observed.csv,0.6710797348770176648608164280,1.345,1.691,2.473,1.221,0.415,7.21,13.147,0.251,7.2,26.689,0.805,0.711,0.019,1.14,1.35,9.31,3.285,10.975,17.145,4.805,3.584,6.514,0.654,0.076,7.0,5.78,6.611,7.52,13.655,30.744,45.095,16.393,1.142,0.226,12.049,83.511,156.761,10.261
+2026-05-21 10:07:44,magpie_observed.csv,0.5246065001555093152165801018,0.816,2.54,1.905,6.4,0.857,6.71,5.424,0.264,7.26,17.5,0.72,0.108,0.016,11.94,10.52,9.59,7.938,10.238,4.558,15.917,1.016,1.02,1.012,0.189,8.94,6.8,1.879,6.92,19.536,19.472,30.288,8.656,0.916,0.041,12.172,109.468,205.76,13.176
+2026-05-21 10:07:44,magpie_observed.csv,0.4930163408221898790548286538,0.88,1.811,1.302,0.134,0.894,7.39,5.03,0.196,7.42,11.258,0.448,0.508,0.015,1.8,1.41,9.29,9.896,9.200,5.21,13.189,11.262,9.397,13.128,0.068,8.12,5.09,6.703,7.34,11.212,18.834,36.793,0.876,1.166,0.203,12.238,73.963,135.889,12.037
+2026-05-21 10:07:45,magpie_observed.csv,1.110921597450469110223228722,0.918,3.574,1.553,2.894,0.679,6.97,4.973,0.023,7.21,12.895,0.574,0.361,0.007,11.5,1.16,10.83,9.897,12.576,15.277,9.876,3.524,6.298,0.751,0.131,8.45,5.03,3.598,7.14,22.569,5.396,9.018,1.774,1.315,0.11,12.218,46.704,82.665,10.744
+2026-05-21 10:07:45,magpie_observed.csv,1.763141510199220204963322201,0.764,3.667,5.911,5.863,0.159,6.52,3.712,0.161,6.69,12.015,0.73,0.533,0.043,11.58,10.62,11.43,10.321,18.259,20.000,16.518,5.236,2.943,7.53,0.13,7.09,6.36,1.171,7.25,9.745,13.030,13.483,12.576,1.328,0.312,12.22,81.246,151.272,11.219
+2026-05-21 10:07:45,magpie_observed.csv,1.359885043366060730476689673,0.906,1.045,2.863,6.594,0.903,6.99,14.944,0.296,6.75,10.415,0.832,0.35,0.019,2.26,10.68,10.74,8.012,9.036,9.688,8.383,10.290,12.531,8.048,0.021,8.0,7.17,2.619,7.26,14.882,23.777,28.463,19.091,1.35,0.205,12.138,97.318,180.443,14.193
+2026-05-21 10:07:46,magpie_observed.csv,0.6201506534850630683085304743,1.052,3.473,3.463,6.412,0.436,6.32,5.878,0.366,7.01,21.222,0.447,0.658,0.006,11.72,1.39,10.96,7.984,3.924,6.575,1.272,4.953,1.515,8.391,0.16,7.95,7.48,4.308,7.31,9.465,30.879,58.791,2.967,0.868,0.052,12.233,122.073,233.066,11.08
+2026-05-21 10:07:46,magpie_observed.csv,0.5665094225776947261350828467,1.03,1.703,1.273,1.448,0.795,7.07,4.39,0.281,6.81,27.047,0.609,0.536,0.003,2.15,11.07,9.51,8.503,6.701,3.234,10.168,6.597,6.626,6.568,0.164,9.09,6.68,1.182,7.01,18.355,38.604,70.319,6.889,1.489,0.346,12.154,66.170,125.341,6.999
+2026-05-21 10:07:46,magpie_observed.csv,0.5635584648033318060775028706,0.843,2.214,1.53,3.63,0.342,6.91,3.998,0.34,7.25,20.729,0.895,0.211,0.049,11.68,11.02,9.86,3.504,10.934,6.103,15.764,5.302,5.229,5.375,0.02,6.67,6.53,5.048,7.02,13.195,39.954,69.477,10.431,1.062,0.229,12.295,52.166,93.836,10.497
+2026-05-21 10:07:46,magpie_observed.csv,0.6335109181260889497389752082,1.119,3.603,2.224,1.09,0.814,6.39,10.345,0.422,6.88,12.904,0.799,0.25,0.046,1.72,10.9,9.49,9.739,6.324,2.841,9.808,1.252,1.293,1.21,0.163,8.91,5.58,4.652,6.97,18.98,11.210,9.228,13.193,0.915,0.111,12.021,72.568,135.677,9.459
+2026-05-21 10:07:47,magpie_observed.csv,0.4934125239853964535170826899,1.102,1.002,4.744,1.133,0.612,7.49,9.693,0.418,6.94,13.836,0.808,0.69,0.04,11.69,11.79,9.58,4.676,9.212,9.026,9.398,10.388,9.35,11.426,0.239,8.01,6.7,1.037,7.1,19.756,31.964,50.711,13.218,1.132,0.286,12.22,109.208,204.464,13.952
+2026-05-21 10:07:47,magpie_observed.csv,0.4315403299422513647627383208,1.167,3.034,2.913,5.542,0.136,6.29,10.243,0.181,6.76,23.488,0.529,0.079,0.02,2.16,10.84,9.53,5.608,2.510,1.548,3.471,8.980,12.909,5.052,0.09,7.78,5.3,3.662,6.85,12.438,28.410,42.137,14.682,1.724,0.17,12.282,71.470,132.841,10.098
+2026-05-21 10:07:47,magpie_observed.csv,1.465811055091216520995167240,0.918,3.408,4.637,0.486,0.697,6.89,11.298,0.001,7.13,10.502,0.584,0.437,0.039,1.37,1.37,10.33,4.325,15.304,14.371,16.238,10.533,9.611,11.455,0.223,9.02,6.69,5.419,7.26,10.965,10.339,1.021,19.657,1.702,0.228,12.189,70.537,130.79,10.284
+2026-05-21 10:07:48,magpie_observed.csv,1.662883375664883182630335200,1.101,1.254,4.627,1.26,0.037,6.81,6.69,0.229,6.73,21.675,0.844,0.734,0.039,1.74,11.31,10.04,8.452,9.379,13.633,5.125,3.470,0.571,6.368,0.194,7.17,6.83,4.933,7.2,8.461,11.065,9.468,12.662,0.803,0.082,12.125,85.995,157.525,14.465
+2026-05-21 10:07:48,magpie_observed.csv,0.3538378404778628234114558496,0.853,3.896,1.685,1.444,0.188,7.02,4.973,0.36,6.53,6.392,0.817,0.246,0.041,1.26,11.21,10.71,10.289,10.323,2.406,18.24,8.428,12.776,4.079,0.082,7.82,7.14,7.516,7.43,21.433,19.683,21.55,17.816,1.419,0.199,12.202,113.534,222.172,4.896
+2026-05-21 10:07:48,magpie_observed.csv,1.527768280589885496895388914,1.049,2.877,2.808,7.467,0.458,7.01,15.257,0.383,7.1,8.434,0.758,0.335,0.014,1.17,11.5,10.72,9.806,15.835,18.532,13.138,13.650,13.503,13.798,0.064,9.15,5.27,4.642,6.83,18.388,40.180,79.127,1.232,1.79,0.126,12.284,71.729,131.208,12.25
+2026-05-21 10:07:49,magpie_observed.csv,0.4785290501137822022723063190,1.337,3.935,1.087,7.348,0.772,6.92,12.835,0.449,7.41,7.624,0.826,0.027,0.044,11.79,11.53,10.73,11.807,11.411,3.128,19.694,9.150,8.13,10.17,0.108,9.41,6.5,0.898,7.48,7.192,32.982,58.358,7.607,0.947,0.101,12.07,120.744,231.953,9.535
+2026-05-21 10:07:49,magpie_observed.csv,1.117228671178505998769126847,1.295,0.595,0.983,3.677,0.375,6.56,5.343,0.121,7.53,16.694,0.582,0.06,0.043,1.61,11.53,9.71,3.064,5.610,5.316,5.903,5.308,10.147,0.469,0.174,8.44,5.58,6.58,6.74,17.032,9.180,5.358,13.001,0.88,0.329,12.161,75.838,137.53,14.145
+2026-05-21 10:07:49,magpie_observed.csv,1.311781402242219321200469873,1.313,3.578,3.046,5.408,0.848,7.05,13.315,0.327,6.72,9.76,0.494,0.303,0.038,1.57,11.63,9.62,11.047,4.321,1.723,6.919,1.798,0.69,2.905,0.029,8.2,7.25,5.706,7.06,17.186,7.253,3.196,11.31,1.578,0.242,12.041,99.576,186.671,12.482
+2026-05-21 10:07:50,magpie_observed.csv,0.5216012776392506127128016226,0.899,3.165,5.41,7.899,0.451,6.68,8.15,0.357,7.51,16.077,0.543,0.617,0.024,1.38,11.51,10.57,6.174,7.772,9.278,6.266,6.868,4.109,9.628,0.189,7.96,6.06,3.474,6.67,14.034,23.960,45.979,1.941,1.088,0.141,12.108,81.470,149.127,13.813
+2026-05-21 10:07:50,magpie_observed.csv,1.592377163575011767577253733,1.048,2.545,1.888,2.375,0.651,7.39,9.136,0.278,7.02,20.791,0.848,0.525,0.026,2.49,11.27,10.94,3.067,14.103,15.749,12.457,7.376,13.133,1.619,0.149,8.92,7.25,5.568,6.64,11.509,28.927,48.492,9.362,0.971,0.212,12.293,105.524,205.487,5.561
+2026-05-21 10:07:50,magpie_observed.csv,4.315794113458313786852537864,1.088,2.236,3.947,6.68,0.018,7.71,3.593,0.004,6.77,8.047,0.746,0.081,0.018,11.57,10.58,9.61,10.992,13.302,8.841,17.762,10.611,13.237,7.985,0.189,7.23,6.26,4.564,7.09,14.094,31.748,58.122,5.375,1.734,0.005,12.163,111.403,212.918,9.888
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diff --git a/modelling/data/abingdon-birds/resident/magpie_synthesised.csv b/modelling/data/abingdon-birds/resident/magpie_synthesised.csv
new file mode 100644
index 0000000..8d75dd5
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/magpie_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
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+9,108,0.5940939000000001,83.04969564934123
+10,112,0.6691857,93.5469438718212
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diff --git a/modelling/data/abingdon-birds/resident/magpie_synthesised.png b/modelling/data/abingdon-birds/resident/magpie_synthesised.png
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diff --git a/modelling/data/abingdon-birds/resident/mallard_classification.json b/modelling/data/abingdon-birds/resident/mallard_classification.json
new file mode 100644
index 0000000..fe71273
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/mallard_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Mallard",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "strong",
+    "detectability_peak_timing": "late_spring_early_summer",
+    "detectability_trough_timing": "summer",
+    "spring_carryover": "weak",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "moderate",
+    "pre_summer_retention": "strong",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "strong_baseline_presence",
+      "late_spring_early_summer_detectability_peak",
+      "summer_detectability_trough",
+      "weak_spring_carryover",
+      "moderate_summer_suppression",
+      "moderate_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "low"
+  },
+  "derived_metrics": {
+    "target_peak_month": 5,
+    "target_peak_label": "May",
+    "target_trough_month": 8,
+    "target_trough_label": "August",
+    "target_peak_value": 0.7848787064147251,
+    "target_trough_value": 0.26132004497130956,
+    "target_mean_value": 0.45620398110730787,
+    "target_amplitude": 0.5235586614434156,
+    "baseline_to_peak_ratio": 0.4739585836125837,
+    "autumn_to_winter_weight_ratio": 0.048,
+    "year_end_to_winter_weight_ratio": 0.4106666666666667,
+    "decay_to_growth_ratio": 2.0201660735468563,
+    "monthly_target": {
+      "January": 0.4300334983219825,
+      "February": 0.43088146044493775,
+      "March": 0.4677281684385085,
+      "April": 0.6813342094796644,
+      "May": 0.7848787064147251,
+      "June": 0.5338988944208285,
+      "July": 0.2894760362432284,
+      "August": 0.26132004497130956,
+      "September": 0.3423192825498804,
+      "October": 0.37987702510837046,
+      "November": 0.3799031887658213,
+      "December": 0.4927972581284379
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.75,
+    "GROWTH_RATE": 1.686,
+    "DECAY_RATE": 3.406,
+    "SUMMER_DECAY_BOOST": 2.509,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.468,
+    "PRE_SUMMER_DECAY_END": 7.02,
+    "PRE_SUMMER_DECAY_SHARPNESS": 10.564,
+    "SPRING_CARRYOVER_WEIGHT": 0.058,
+    "SPRING_CARRYOVER_END": 6.975,
+    "SPRING_CARRYOVER_SHARPNESS": 17.462,
+    "BASELINE": 0.372,
+    "WINTER_WEIGHT": 0.375,
+    "AUTUMN_WEIGHT": 0.018,
+    "WINTER_PEAK": 4.735,
+    "AUTUMN_PEAK": 9.665,
+    "AUTUMN_ONSET": 9.95,
+    "AUTUMN_GATE_SHARPNESS": 7.024,
+    "WINTER_WIDTH": 11.905,
+    "WINTER_RISE_WIDTH": 10.74,
+    "WINTER_FALL_WIDTH": 11.449,
+    "AUTUMN_WIDTH": 6.701,
+    "AUTUMN_RISE_WIDTH": 5.923,
+    "AUTUMN_FALL_WIDTH": 6.57,
+    "SUMMER_DIP": 0.145,
+    "SUMMER_LOW": 7.28,
+    "SUMMER_ONSET": 5.17,
+    "SUMMER_GATE_SHARPNESS": 4.038,
+    "SUMMER_DECAY_ONSET": 7.205,
+    "SUMMER_DECAY_GATE_SHARPNESS": 15.27,
+    "SUMMER_WIDTH": 28.79,
+    "SUMMER_RISE_WIDTH": 50.49,
+    "SUMMER_FALL_WIDTH": 7.55,
+    "SCALE": 1.194,
+    "YEAR_END_WEIGHT": 0.154,
+    "YEAR_END_PEAK": 12.148,
+    "YEAR_END_WIDTH": 89.252,
+    "YEAR_END_RISE_WIDTH": 168.94,
+    "YEAR_END_FALL_WIDTH": 10.783
+  },
+  "fit": {
+    "score": 0.421
+  },
+  "warnings": [],
+  "summary": "Mallard is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around May and reaches its lowest point around August. The model indicates strong baseline presence, weak spring carry-over, strong pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/mallard_consensus.json b/modelling/data/abingdon-birds/resident/mallard_consensus.json
new file mode 100644
index 0000000..eb8e0a3
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/mallard_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.421",
+  "INITIAL_Y": "0.75",
+  "GROWTH_RATE": "1.686",
+  "DECAY_RATE": "3.406",
+  "SUMMER_DECAY_BOOST": "2.509",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.468",
+  "PRE_SUMMER_DECAY_END": "7.02",
+  "PRE_SUMMER_DECAY_SHARPNESS": "10.564",
+  "SPRING_CARRYOVER_WEIGHT": "0.058",
+  "SPRING_CARRYOVER_END": "6.975",
+  "SPRING_CARRYOVER_SHARPNESS": "17.462",
+  "BASELINE": "0.372",
+  "WINTER_WEIGHT": "0.375",
+  "AUTUMN_WEIGHT": "0.018",
+  "WINTER_PEAK": "4.735",
+  "AUTUMN_PEAK": "9.665",
+  "AUTUMN_ONSET": "9.95",
+  "AUTUMN_GATE_SHARPNESS": "7.024",
+  "WINTER_WIDTH": "11.905",
+  "WINTER_RISE_WIDTH": "10.74",
+  "WINTER_FALL_WIDTH": "11.449",
+  "AUTUMN_WIDTH": "6.701",
+  "AUTUMN_RISE_WIDTH": "5.923",
+  "AUTUMN_FALL_WIDTH": "6.57",
+  "SUMMER_DIP": "0.145",
+  "SUMMER_LOW": "7.28",
+  "SUMMER_ONSET": "5.17",
+  "SUMMER_GATE_SHARPNESS": "4.038",
+  "SUMMER_DECAY_ONSET": "7.205",
+  "SUMMER_DECAY_GATE_SHARPNESS": "15.27",
+  "SUMMER_WIDTH": "28.79",
+  "SUMMER_RISE_WIDTH": "50.49",
+  "SUMMER_FALL_WIDTH": "7.55",
+  "SCALE": "1.194",
+  "YEAR_END_WEIGHT": "0.154",
+  "YEAR_END_PEAK": "12.148",
+  "YEAR_END_WIDTH": "89.252",
+  "YEAR_END_RISE_WIDTH": "168.94",
+  "YEAR_END_FALL_WIDTH": "10.783",
+  "SPECIES": "Mallard"
+}
diff --git a/modelling/data/abingdon-birds/resident/mallard_observed.csv b/modelling/data/abingdon-birds/resident/mallard_observed.csv
new file mode 100644
index 0000000..40ad262
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/mallard_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,17
+2,17
+3,21
+4,20
+5,23
+6,11
+7,6
+8,9
+9,6
+10,16
+11,12
+12,11
diff --git a/modelling/data/abingdon-birds/resident/mallard_parameters.csv b/modelling/data/abingdon-birds/resident/mallard_parameters.csv
new file mode 100644
index 0000000..87f8cea
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/mallard_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 10:08:44,mallard_observed.csv,2.018520184715057580426964320,0.557,2.359,1.668,5.914,0.168,7.11,5.414,0.04,7.21,11.902,0.247,0.246,0.014,3.89,8.62,11.3,8.157,8.992,5.183,12.802,8.526,6.927,10.126,0.237,7.3,4.6,2.958,6.69,19.669,13.952,25.937,1.966,1.65,0.227,12.256,50.338,94.08,6.597
+2026-05-21 10:08:45,mallard_observed.csv,1.552753887239255746902423164,0.726,2.195,2.774,0.063,0.756,6.37,11.477,0.073,7.36,22.03,0.388,0.693,0.044,5.26,9.12,9.49,4.888,4.147,5.002,3.292,1.022,0.732,1.313,0.072,6.19,5.28,2.74,6.9,18.5,14.451,18.958,9.944,0.858,0.006,12.121,71.638,129.242,14.033
+2026-05-21 10:08:45,mallard_observed.csv,1.229673603167959538815418637,0.497,2.68,3.72,6.597,0.46,7.08,8.156,0.026,6.95,22.11,0.24,0.644,0.049,5.94,11.13,8.7,2.839,9.616,7.099,12.133,10.782,12.198,9.366,0.199,5.84,6.23,1.509,6.96,6.737,22.792,29.227,16.357,1.639,0.118,12.261,82.858,158.482,7.235
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diff --git a/modelling/data/abingdon-birds/resident/mallard_simulated.csv b/modelling/data/abingdon-birds/resident/mallard_simulated.csv
new file mode 100644
index 0000000..8e57ba3
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/mallard_simulated.csv
@@ -0,0 +1,123 @@
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diff --git a/modelling/data/abingdon-birds/resident/mallard_synthesised.csv b/modelling/data/abingdon-birds/resident/mallard_synthesised.csv
new file mode 100644
index 0000000..7a83742
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/mallard_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-birds/resident/mallard_synthesised.png b/modelling/data/abingdon-birds/resident/mallard_synthesised.png
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diff --git a/modelling/data/abingdon-birds/resident/mistle_thrush_classification.json b/modelling/data/abingdon-birds/resident/mistle_thrush_classification.json
new file mode 100644
index 0000000..672cc0f
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/mistle_thrush_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Mistle Thrush",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "weak",
+    "detectability_peak_timing": "winter",
+    "detectability_trough_timing": "summer",
+    "spring_carryover": "weak",
+    "summer_suppression": "strong",
+    "summer_decay_acceleration": "strong",
+    "pre_summer_retention": "strong",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "weak_baseline_presence",
+      "winter_detectability_peak",
+      "summer_detectability_trough",
+      "weak_spring_carryover",
+      "strong_summer_suppression",
+      "strong_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "medium"
+  },
+  "derived_metrics": {
+    "target_peak_month": 2,
+    "target_peak_label": "February",
+    "target_trough_month": 8,
+    "target_trough_label": "August",
+    "target_peak_value": 0.42389052211390243,
+    "target_trough_value": 0.0,
+    "target_mean_value": 0.13845269500030552,
+    "target_amplitude": 0.42389052211390243,
+    "baseline_to_peak_ratio": 0.08964578828160052,
+    "autumn_to_winter_weight_ratio": 0.08536585365853659,
+    "year_end_to_winter_weight_ratio": 0.47560975609756095,
+    "decay_to_growth_ratio": 1.0601503759398496,
+    "monthly_target": {
+      "January": 0.25453673606619265,
+      "February": 0.42389052211390243,
+      "March": 0.281857972633305,
+      "April": 0.1288438794701441,
+      "May": 0.09733460706032249,
+      "June": 0.09600546446752863,
+      "July": 0.08367338837368603,
+      "August": 0.0,
+      "September": 0.0,
+      "October": 0.028695759245436808,
+      "November": 0.06535411266715686,
+      "December": 0.20123989790599128
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.956,
+    "GROWTH_RATE": 2.128,
+    "DECAY_RATE": 2.256,
+    "SUMMER_DECAY_BOOST": 4.542,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.652,
+    "PRE_SUMMER_DECAY_END": 7.25,
+    "PRE_SUMMER_DECAY_SHARPNESS": 8.534,
+    "SPRING_CARRYOVER_WEIGHT": 0.058,
+    "SPRING_CARRYOVER_END": 7.175,
+    "SPRING_CARRYOVER_SHARPNESS": 17.308,
+    "BASELINE": 0.038,
+    "WINTER_WEIGHT": 0.328,
+    "AUTUMN_WEIGHT": 0.028,
+    "WINTER_PEAK": 1.975,
+    "AUTUMN_PEAK": 11.18,
+    "AUTUMN_ONSET": 10.205,
+    "AUTUMN_GATE_SHARPNESS": 6.834,
+    "WINTER_WIDTH": 9.936,
+    "WINTER_RISE_WIDTH": 11.04,
+    "WINTER_FALL_WIDTH": 7.793,
+    "AUTUMN_WIDTH": 5.667,
+    "AUTUMN_RISE_WIDTH": 4.683,
+    "AUTUMN_FALL_WIDTH": 5.872,
+    "SUMMER_DIP": 0.16,
+    "SUMMER_LOW": 7.925,
+    "SUMMER_ONSET": 6.35,
+    "SUMMER_GATE_SHARPNESS": 4.537,
+    "SUMMER_DECAY_ONSET": 7.105,
+    "SUMMER_DECAY_GATE_SHARPNESS": 12.341,
+    "SUMMER_WIDTH": 26.25,
+    "SUMMER_RISE_WIDTH": 46.552,
+    "SUMMER_FALL_WIDTH": 8.12,
+    "SCALE": 1.39,
+    "YEAR_END_WEIGHT": 0.156,
+    "YEAR_END_PEAK": 12.136,
+    "YEAR_END_WIDTH": 86.744,
+    "YEAR_END_RISE_WIDTH": 161.908,
+    "YEAR_END_FALL_WIDTH": 10.806
+  },
+  "fit": {
+    "score": 0.225
+  },
+  "warnings": [],
+  "summary": "Mistle Thrush is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around February and reaches its lowest point around August. The model indicates weak baseline presence, weak spring carry-over, strong pre-summer retention, strong summer suppression, and strong summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/mistle_thrush_consensus.json b/modelling/data/abingdon-birds/resident/mistle_thrush_consensus.json
new file mode 100644
index 0000000..b274c5a
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/mistle_thrush_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.225",
+  "INITIAL_Y": "0.956",
+  "GROWTH_RATE": "2.128",
+  "DECAY_RATE": "2.256",
+  "SUMMER_DECAY_BOOST": "4.542",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.652",
+  "PRE_SUMMER_DECAY_END": "7.25",
+  "PRE_SUMMER_DECAY_SHARPNESS": "8.534",
+  "SPRING_CARRYOVER_WEIGHT": "0.058",
+  "SPRING_CARRYOVER_END": "7.175",
+  "SPRING_CARRYOVER_SHARPNESS": "17.308",
+  "BASELINE": "0.038",
+  "WINTER_WEIGHT": "0.328",
+  "AUTUMN_WEIGHT": "0.028",
+  "WINTER_PEAK": "1.975",
+  "AUTUMN_PEAK": "11.18",
+  "AUTUMN_ONSET": "10.205",
+  "AUTUMN_GATE_SHARPNESS": "6.834",
+  "WINTER_WIDTH": "9.936",
+  "WINTER_RISE_WIDTH": "11.04",
+  "WINTER_FALL_WIDTH": "7.793",
+  "AUTUMN_WIDTH": "5.667",
+  "AUTUMN_RISE_WIDTH": "4.683",
+  "AUTUMN_FALL_WIDTH": "5.872",
+  "SUMMER_DIP": "0.16",
+  "SUMMER_LOW": "7.925",
+  "SUMMER_ONSET": "6.35",
+  "SUMMER_GATE_SHARPNESS": "4.537",
+  "SUMMER_DECAY_ONSET": "7.105",
+  "SUMMER_DECAY_GATE_SHARPNESS": "12.341",
+  "SUMMER_WIDTH": "26.25",
+  "SUMMER_RISE_WIDTH": "46.552",
+  "SUMMER_FALL_WIDTH": "8.12",
+  "SCALE": "1.39",
+  "YEAR_END_WEIGHT": "0.156",
+  "YEAR_END_PEAK": "12.136",
+  "YEAR_END_WIDTH": "86.744",
+  "YEAR_END_RISE_WIDTH": "161.908",
+  "YEAR_END_FALL_WIDTH": "10.806",
+  "SPECIES": "Mistle Thrush"
+}
diff --git a/modelling/data/abingdon-birds/resident/mistle_thrush_observed.csv b/modelling/data/abingdon-birds/resident/mistle_thrush_observed.csv
new file mode 100644
index 0000000..da1d707
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/mistle_thrush_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,28
+2,16
+3,23
+4,26
+5,11
+6,8
+7,2
+8,0
+9,0
+10,6
+11,6
+12,10
diff --git a/modelling/data/abingdon-birds/resident/mistle_thrush_parameters.csv b/modelling/data/abingdon-birds/resident/mistle_thrush_parameters.csv
new file mode 100644
index 0000000..c41da9f
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/mistle_thrush_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
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diff --git a/modelling/data/abingdon-birds/resident/mistle_thrush_synthesised.csv b/modelling/data/abingdon-birds/resident/mistle_thrush_synthesised.csv
new file mode 100644
index 0000000..a47a70f
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/mistle_thrush_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
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+8,0,0.00038533734199999996,0.016096027147241797
+9,0,0.0015704423956,0.06559936107297135
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diff --git a/modelling/data/abingdon-birds/resident/mistle_thrush_synthesised.png b/modelling/data/abingdon-birds/resident/mistle_thrush_synthesised.png
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diff --git a/modelling/data/abingdon-birds/resident/mute_swan_classification.json b/modelling/data/abingdon-birds/resident/mute_swan_classification.json
new file mode 100644
index 0000000..210f72a
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/mute_swan_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Mute Swan",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "strong",
+    "detectability_peak_timing": "winter",
+    "detectability_trough_timing": "summer",
+    "spring_carryover": "moderate",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "moderate",
+    "pre_summer_retention": "strong",
+    "autumn_component": "meaningful",
+    "year_end_component": "meaningful",
+    "response_dynamics": "decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "strong_baseline_presence",
+      "winter_detectability_peak",
+      "summer_detectability_trough",
+      "moderate_spring_carryover",
+      "moderate_summer_suppression",
+      "moderate_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "meaningful_autumn_component",
+      "meaningful_year_end_component",
+      "decline_biased_response_dynamics"
+    ],
+    "confidence": "medium"
+  },
+  "derived_metrics": {
+    "target_peak_month": 2,
+    "target_peak_label": "February",
+    "target_trough_month": 8,
+    "target_trough_label": "August",
+    "target_peak_value": 0.864830809922633,
+    "target_trough_value": 0.36530042619975284,
+    "target_mean_value": 0.5774560907770357,
+    "target_amplitude": 0.49953038372288017,
+    "baseline_to_peak_ratio": 0.4937381914483355,
+    "autumn_to_winter_weight_ratio": 0.13358778625954199,
+    "year_end_to_winter_weight_ratio": 0.7557251908396947,
+    "decay_to_growth_ratio": 1.1929046563192904,
+    "monthly_target": {
+      "January": 0.7472873467886398,
+      "February": 0.864830809922633,
+      "March": 0.7242050510730234,
+      "April": 0.6147036808791292,
+      "May": 0.6031561445528912,
+      "June": 0.5968176393047385,
+      "July": 0.45836266845111745,
+      "August": 0.36530042619975284,
+      "September": 0.4189337127584466,
+      "October": 0.4511809551120824,
+      "November": 0.4613652381412082,
+      "December": 0.6233294161407664
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 1.049,
+    "GROWTH_RATE": 2.706,
+    "DECAY_RATE": 3.228,
+    "SUMMER_DECAY_BOOST": 3.576,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.46,
+    "PRE_SUMMER_DECAY_END": 7.01,
+    "PRE_SUMMER_DECAY_SHARPNESS": 8.892,
+    "SPRING_CARRYOVER_WEIGHT": 0.176,
+    "SPRING_CARRYOVER_END": 7.105,
+    "SPRING_CARRYOVER_SHARPNESS": 18.122,
+    "BASELINE": 0.427,
+    "WINTER_WEIGHT": 0.262,
+    "AUTUMN_WEIGHT": 0.035,
+    "WINTER_PEAK": 1.97,
+    "AUTUMN_PEAK": 10.715,
+    "AUTUMN_ONSET": 9.745,
+    "AUTUMN_GATE_SHARPNESS": 7.358,
+    "WINTER_WIDTH": 9.236,
+    "WINTER_RISE_WIDTH": 9.166,
+    "WINTER_FALL_WIDTH": 10.472,
+    "AUTUMN_WIDTH": 7.259,
+    "AUTUMN_RISE_WIDTH": 6.224,
+    "AUTUMN_FALL_WIDTH": 6.036,
+    "SUMMER_DIP": 0.122,
+    "SUMMER_LOW": 6.955,
+    "SUMMER_ONSET": 5.07,
+    "SUMMER_GATE_SHARPNESS": 4.004,
+    "SUMMER_DECAY_ONSET": 7.06,
+    "SUMMER_DECAY_GATE_SHARPNESS": 12.592,
+    "SUMMER_WIDTH": 28.826,
+    "SUMMER_RISE_WIDTH": 46.832,
+    "SUMMER_FALL_WIDTH": 8.994,
+    "SCALE": 1.241,
+    "YEAR_END_WEIGHT": 0.198,
+    "YEAR_END_PEAK": 12.15,
+    "YEAR_END_WIDTH": 78.218,
+    "YEAR_END_RISE_WIDTH": 144.166,
+    "YEAR_END_FALL_WIDTH": 9.235
+  },
+  "fit": {
+    "score": 0.259
+  },
+  "warnings": [],
+  "summary": "Mute Swan is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around February and reaches its lowest point around August. The model indicates strong baseline presence, moderate spring carry-over, strong pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/mute_swan_consensus.json b/modelling/data/abingdon-birds/resident/mute_swan_consensus.json
new file mode 100644
index 0000000..b628014
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/mute_swan_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.259",
+  "INITIAL_Y": "1.049",
+  "GROWTH_RATE": "2.706",
+  "DECAY_RATE": "3.228",
+  "SUMMER_DECAY_BOOST": "3.576",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.46",
+  "PRE_SUMMER_DECAY_END": "7.01",
+  "PRE_SUMMER_DECAY_SHARPNESS": "8.892",
+  "SPRING_CARRYOVER_WEIGHT": "0.176",
+  "SPRING_CARRYOVER_END": "7.105",
+  "SPRING_CARRYOVER_SHARPNESS": "18.122",
+  "BASELINE": "0.427",
+  "WINTER_WEIGHT": "0.262",
+  "AUTUMN_WEIGHT": "0.035",
+  "WINTER_PEAK": "1.97",
+  "AUTUMN_PEAK": "10.715",
+  "AUTUMN_ONSET": "9.745",
+  "AUTUMN_GATE_SHARPNESS": "7.358",
+  "WINTER_WIDTH": "9.236",
+  "WINTER_RISE_WIDTH": "9.166",
+  "WINTER_FALL_WIDTH": "10.472",
+  "AUTUMN_WIDTH": "7.259",
+  "AUTUMN_RISE_WIDTH": "6.224",
+  "AUTUMN_FALL_WIDTH": "6.036",
+  "SUMMER_DIP": "0.122",
+  "SUMMER_LOW": "6.955",
+  "SUMMER_ONSET": "5.07",
+  "SUMMER_GATE_SHARPNESS": "4.004",
+  "SUMMER_DECAY_ONSET": "7.06",
+  "SUMMER_DECAY_GATE_SHARPNESS": "12.592",
+  "SUMMER_WIDTH": "28.826",
+  "SUMMER_RISE_WIDTH": "46.832",
+  "SUMMER_FALL_WIDTH": "8.994",
+  "SCALE": "1.241",
+  "YEAR_END_WEIGHT": "0.198",
+  "YEAR_END_PEAK": "12.15",
+  "YEAR_END_WIDTH": "78.218",
+  "YEAR_END_RISE_WIDTH": "144.166",
+  "YEAR_END_FALL_WIDTH": "9.235",
+  "SPECIES": "Mute Swan"
+}
diff --git a/modelling/data/abingdon-birds/resident/mute_swan_observed.csv b/modelling/data/abingdon-birds/resident/mute_swan_observed.csv
new file mode 100644
index 0000000..dc009b2
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/mute_swan_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,18
+2,14
+3,10
+4,9
+5,7
+6,8
+7,6
+8,7
+9,6
+10,10
+11,11
+12,9
diff --git a/modelling/data/abingdon-birds/resident/mute_swan_parameters.csv b/modelling/data/abingdon-birds/resident/mute_swan_parameters.csv
new file mode 100644
index 0000000..1c85baf
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/mute_swan_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 10:11:56,mute_swan_observed.csv,0.5616252042862751819740758412,1.189,3.704,2.17,0.43,0.221,7.48,10.35,0.049,7.02,6.169,0.514,0.465,0.006,1.51,11.92,9.29,11.328,19.398,19.647,19.148,0.736,0.863,0.61,0.23,5.7,4.52,4.379,7.42,6.293,11.139,19.113,3.165,1.547,0.198,12.18,70.667,127.498,13.836
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diff --git a/modelling/data/abingdon-birds/resident/mute_swan_simulated.csv b/modelling/data/abingdon-birds/resident/mute_swan_simulated.csv
new file mode 100644
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diff --git a/modelling/data/abingdon-birds/resident/mute_swan_synthesised.csv b/modelling/data/abingdon-birds/resident/mute_swan_synthesised.csv
new file mode 100644
index 0000000..ed35640
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/mute_swan_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
+1,18,0.9310122,15.11075811923792
+2,14,0.8544,13.86730671958636
+3,10,0.7394969,12.002376323131182
+4,9,0.6397995,10.384241462474241
+5,7,0.6097731,9.896899118741812
+6,8,0.5813965,9.436333791191467
+7,6,0.3867275,6.276765987124103
+8,7,0.373182,6.05691626431259
+9,6,0.41765100000000005,6.77866867830286
+10,10,0.4496741,7.298418385479809
+11,11,0.4647101,7.542459611879271
+12,9,0.6125181000000001,9.941451736889361
diff --git a/modelling/data/abingdon-birds/resident/mute_swan_synthesised.png b/modelling/data/abingdon-birds/resident/mute_swan_synthesised.png
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diff --git a/modelling/data/abingdon-birds/resident/pheasant_classification.json b/modelling/data/abingdon-birds/resident/pheasant_classification.json
new file mode 100644
index 0000000..85bb4bb
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/pheasant_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Pheasant",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "moderate",
+    "detectability_peak_timing": "spring",
+    "detectability_trough_timing": "summer",
+    "spring_carryover": "moderate",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "strong",
+    "pre_summer_retention": "moderate",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "moderate_baseline_presence",
+      "spring_detectability_peak",
+      "summer_detectability_trough",
+      "moderate_spring_carryover",
+      "moderate_summer_suppression",
+      "strong_summer_decay_acceleration",
+      "moderate_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "target_peak_month": 4,
+    "target_peak_label": "April",
+    "target_trough_month": 8,
+    "target_trough_label": "August",
+    "target_peak_value": 0.9416565633560556,
+    "target_trough_value": 0.17862429918860445,
+    "target_mean_value": 0.4213717695284509,
+    "target_amplitude": 0.7630322641674512,
+    "baseline_to_peak_ratio": 0.27186132392856505,
+    "autumn_to_winter_weight_ratio": 0.04332129963898917,
+    "year_end_to_winter_weight_ratio": 0.33935018050541516,
+    "decay_to_growth_ratio": 1.9923076923076923,
+    "monthly_target": {
+      "January": 0.3891571271376412,
+      "February": 0.4065828848946221,
+      "March": 0.6413419683172408,
+      "April": 0.9416565633560556,
+      "May": 0.6131391125995524,
+      "June": 0.40461260274212485,
+      "July": 0.30533026640187855,
+      "August": 0.17862429918860445,
+      "September": 0.22795835923042812,
+      "October": 0.2538033153446911,
+      "November": 0.27229065819280523,
+      "December": 0.4219640769357664
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.18,
+    "GROWTH_RATE": 1.82,
+    "DECAY_RATE": 3.626,
+    "SUMMER_DECAY_BOOST": 4.168,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.42,
+    "PRE_SUMMER_DECAY_END": 7.23,
+    "PRE_SUMMER_DECAY_SHARPNESS": 11.15,
+    "SPRING_CARRYOVER_WEIGHT": 0.133,
+    "SPRING_CARRYOVER_END": 7.025,
+    "SPRING_CARRYOVER_SHARPNESS": 16.04,
+    "BASELINE": 0.256,
+    "WINTER_WEIGHT": 0.554,
+    "AUTUMN_WEIGHT": 0.024,
+    "WINTER_PEAK": 3.945,
+    "AUTUMN_PEAK": 10.05,
+    "AUTUMN_ONSET": 10.585,
+    "AUTUMN_GATE_SHARPNESS": 6.982,
+    "WINTER_WIDTH": 11.067,
+    "WINTER_RISE_WIDTH": 12.716,
+    "WINTER_FALL_WIDTH": 11.71,
+    "AUTUMN_WIDTH": 6.402,
+    "AUTUMN_RISE_WIDTH": 7.908,
+    "AUTUMN_FALL_WIDTH": 5.302,
+    "SUMMER_DIP": 0.083,
+    "SUMMER_LOW": 7.66,
+    "SUMMER_ONSET": 6.39,
+    "SUMMER_GATE_SHARPNESS": 3.972,
+    "SUMMER_DECAY_ONSET": 7.185,
+    "SUMMER_DECAY_GATE_SHARPNESS": 15.375,
+    "SUMMER_WIDTH": 20.768,
+    "SUMMER_RISE_WIDTH": 30.594,
+    "SUMMER_FALL_WIDTH": 8.634,
+    "SCALE": 1.076,
+    "YEAR_END_WEIGHT": 0.188,
+    "YEAR_END_PEAK": 12.121,
+    "YEAR_END_WIDTH": 84.574,
+    "YEAR_END_RISE_WIDTH": 158.728,
+    "YEAR_END_FALL_WIDTH": 9.546
+  },
+  "fit": {
+    "score": 0.194
+  },
+  "warnings": [],
+  "summary": "Pheasant is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around April and reaches its lowest point around August. The model indicates moderate baseline presence, moderate spring carry-over, moderate pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/pheasant_consensus.json b/modelling/data/abingdon-birds/resident/pheasant_consensus.json
new file mode 100644
index 0000000..5b66576
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/pheasant_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.194",
+  "INITIAL_Y": "0.18",
+  "GROWTH_RATE": "1.82",
+  "DECAY_RATE": "3.626",
+  "SUMMER_DECAY_BOOST": "4.168",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.42",
+  "PRE_SUMMER_DECAY_END": "7.23",
+  "PRE_SUMMER_DECAY_SHARPNESS": "11.15",
+  "SPRING_CARRYOVER_WEIGHT": "0.133",
+  "SPRING_CARRYOVER_END": "7.025",
+  "SPRING_CARRYOVER_SHARPNESS": "16.04",
+  "BASELINE": "0.256",
+  "WINTER_WEIGHT": "0.554",
+  "AUTUMN_WEIGHT": "0.024",
+  "WINTER_PEAK": "3.945",
+  "AUTUMN_PEAK": "10.05",
+  "AUTUMN_ONSET": "10.585",
+  "AUTUMN_GATE_SHARPNESS": "6.982",
+  "WINTER_WIDTH": "11.067",
+  "WINTER_RISE_WIDTH": "12.716",
+  "WINTER_FALL_WIDTH": "11.71",
+  "AUTUMN_WIDTH": "6.402",
+  "AUTUMN_RISE_WIDTH": "7.908",
+  "AUTUMN_FALL_WIDTH": "5.302",
+  "SUMMER_DIP": "0.083",
+  "SUMMER_LOW": "7.66",
+  "SUMMER_ONSET": "6.39",
+  "SUMMER_GATE_SHARPNESS": "3.972",
+  "SUMMER_DECAY_ONSET": "7.185",
+  "SUMMER_DECAY_GATE_SHARPNESS": "15.375",
+  "SUMMER_WIDTH": "20.768",
+  "SUMMER_RISE_WIDTH": "30.594",
+  "SUMMER_FALL_WIDTH": "8.634",
+  "SCALE": "1.076",
+  "YEAR_END_WEIGHT": "0.188",
+  "YEAR_END_PEAK": "12.121",
+  "YEAR_END_WIDTH": "84.574",
+  "YEAR_END_RISE_WIDTH": "158.728",
+  "YEAR_END_FALL_WIDTH": "9.546",
+  "SPECIES": "Pheasant"
+}
diff --git a/modelling/data/abingdon-birds/resident/pheasant_observed.csv b/modelling/data/abingdon-birds/resident/pheasant_observed.csv
new file mode 100644
index 0000000..d228e88
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/pheasant_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,10
+2,21
+3,37
+4,56
+5,50
+6,33
+7,6
+8,3
+9,5
+10,13
+11,10
+12,7
diff --git a/modelling/data/abingdon-birds/resident/pheasant_parameters.csv b/modelling/data/abingdon-birds/resident/pheasant_parameters.csv
new file mode 100644
index 0000000..6b75050
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/pheasant_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 10:12:59,pheasant_observed.csv,1.410001068541471511950274098,0.297,3.722,2.95,4.758,0.491,7.66,10.032,0.08,6.79,9.317,0.317,0.021,0.039,4.0,9.92,10.32,9.493,8.066,14.679,1.454,9.547,12.909,6.185,0.04,9.17,5.22,6.864,6.65,19.29,32.650,62.878,2.422,1.624,0.338,12.101,69.296,128.269,10.322
+2026-05-21 10:13:00,pheasant_observed.csv,0.8162800290762577785515908624,0.515,0.348,4.726,3.094,0.347,7.66,15.601,0.06,6.82,24.883,0.383,0.705,0.037,3.82,10.46,9.61,8.761,9.510,0.87,18.15,3.652,4.428,2.877,0.001,8.91,7.15,5.592,6.65,12.353,23.486,36.689,10.284,1.461,0.188,12.026,54.904,96.681,13.126
+2026-05-21 10:13:00,pheasant_observed.csv,1.918184955372263380028932292,0.237,1.865,4.085,3.694,0.098,7.6,14.25,0.158,7.31,6.134,0.168,0.267,0.038,4.25,8.9,10.41,10.428,4.070,1.038,7.101,6.587,4.834,8.34,0.12,8.9,6.52,7.585,7.19,9.412,27.976,38.952,17.0,1.325,0.288,12.167,115.290,223.67,6.911
+2026-05-21 10:13:00,pheasant_observed.csv,0.2041564849600401910822085626,0.416,2.052,4.122,3.907,0.691,7.75,8.713,0.192,6.92,19.227,0.336,0.316,0.016,5.04,8.66,10.85,7.823,14.124,17.887,10.361,10.772,10.34,11.205,0.038,7.43,7.18,1.912,6.85,12.231,29.337,55.339,3.335,0.984,0.049,12.06,118.018,223.571,12.466
+2026-05-21 10:13:01,pheasant_observed.csv,0.4085614508592895833631495089,0.199,2.28,1.517,5.286,0.696,7.66,9.675,0.087,6.56,11.005,0.201,0.37,0.003,4.67,10.02,10.34,11.773,9.680,3.046,16.313,2.442,2.958,1.927,0.149,7.22,7.34,0.803,7.24,19.99,36.788,54.433,19.142,1.46,0.32,12.277,48.605,84.857,12.353
+2026-05-21 10:13:01,pheasant_observed.csv,1.619154245649540807097446343,0.348,3.016,2.199,4.096,0.471,7.33,15.818,0.165,7.42,24.739,0.386,0.009,0.038,2.79,11.48,11.04,10.073,10.550,11.638,9.463,8.583,4.551,12.615,0.073,7.53,6.13,6.873,6.97,12.392,17.406,22.864,11.949,1.31,0.292,12.051,115.720,225.508,5.933
+2026-05-21 10:13:01,pheasant_observed.csv,1.116308820122686432477084396,0.055,2.08,3.685,0.646,0.363,7.36,10.66,0.118,7.25,27.123,0.303,0.661,0.017,4.83,10.77,9.79,3.798,12.342,10.41,14.275,10.344,12.693,7.995,0.013,7.95,6.42,6.755,6.64,8.857,12.660,5.774,19.546,1.479,0.164,12.213,85.462,161.276,9.648
+2026-05-21 10:13:02,pheasant_observed.csv,0.1538769761454924272802309129,0.524,1.592,4.999,7.524,0.674,7.67,8.4,0.124,6.66,18.81,0.325,0.741,0.025,4.95,9.8,9.29,4.487,2.844,4.3,1.388,6.088,7.361,4.815,0.242,8.03,5.9,5.54,7.5,11.821,10.174,7.619,12.729,1.13,0.282,12.02,80.205,151.725,8.685
+2026-05-21 10:13:02,pheasant_observed.csv,0.2785603356572721951922740267,0.245,0.791,2.504,0.609,0.393,7.23,15.45,0.12,7.5,22.734,0.268,0.214,0.044,2.8,11.5,10.8,4.421,3.062,5.654,0.469,8.004,13.509,2.499,0.018,6.64,6.21,7.054,6.86,16.141,42.862,77.015,8.709,1.057,0.141,12.052,117.942,221.339,14.544
+2026-05-21 10:13:02,pheasant_observed.csv,0.2502805787813940921782342581,0.182,2.996,3.865,2.865,0.587,6.63,6.181,0.01,7.38,16.412,0.151,0.487,0.026,3.47,10.57,9.95,6.723,16.014,19.533,12.496,4.540,7.5,1.579,0.066,9.22,5.63,5.808,7.26,9.81,20.118,39.059,1.176,0.962,0.335,12.082,105.822,198.344,13.299
+2026-05-21 10:13:03,pheasant_observed.csv,1.884328354469569233095773847,0.412,3.455,1.867,1.943,0.364,7.23,13.134,0.116,6.78,26.252,0.362,0.006,0.048,2.99,9.83,10.75,5.21,10.406,8.662,12.149,5.482,8.783,2.182,0.094,7.29,7.26,3.239,6.65,15.837,8.429,2.138,14.72,1.039,0.138,12.151,66.968,118.113,15.823
+2026-05-21 10:13:03,pheasant_observed.csv,0.5139332250854299023121373063,0.015,0.988,3.439,7.068,0.777,7.22,7.037,0.105,7.64,22.774,0.244,0.378,0.015,4.19,9.44,9.56,3.996,7.416,6.743,8.090,1.824,1.956,1.693,0.193,8.77,5.67,4.178,7.46,20.289,39.416,68.164,10.667,1.177,0.307,12.239,84.856,160.113,9.599
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+2026-05-21 10:13:04,pheasant_observed.csv,0.5476049702167289394822546089,0.322,1.191,0.452,4.194,0.436,6.7,6.527,0.15,7.45,7.176,0.308,0.173,0.005,4.52,10.25,11.15,9.481,3.934,4.073,3.794,8.504,7.103,9.906,0.133,8.38,6.92,4.879,6.83,23.612,31.307,43.244,19.37,1.032,0.13,12.084,126.166,237.518,14.813
+2026-05-21 10:13:04,pheasant_observed.csv,0.1539385053776854565809913030,0.101,1.16,2.674,0.661,0.08,6.82,4.391,0.145,7.55,12.492,0.189,0.509,0.031,5.19,11.49,10.55,11.914,5.652,4.946,6.358,8.601,10.925,6.277,0.06,7.88,6.11,1.228,6.89,9.151,8.934,17.466,0.401,1.157,0.345,12.247,61.010,113.928,8.092
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diff --git a/modelling/data/abingdon-birds/resident/pheasant_simulated.csv b/modelling/data/abingdon-birds/resident/pheasant_simulated.csv
new file mode 100644
index 0000000..28e6bac
--- /dev/null
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diff --git a/modelling/data/abingdon-birds/resident/pheasant_simulated.png b/modelling/data/abingdon-birds/resident/pheasant_simulated.png
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diff --git a/modelling/data/abingdon-birds/resident/pheasant_synthesised.csv b/modelling/data/abingdon-birds/resident/pheasant_synthesised.csv
new file mode 100644
index 0000000..5c697d8
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/pheasant_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
+1,10,0.28466230000000003,16.833041830231004
+2,21,0.4083576,24.147562084943242
+3,37,0.6435057000000001,38.05266228120858
+4,56,0.8352634999999999,49.39194770352503
+5,50,0.6210212,36.72307796663012
+6,33,0.4346223,25.700682374347455
+7,6,0.25027900000000003,14.799841342630849
+8,3,0.1854393,10.965651208005962
+9,5,0.22225920000000002,13.142936071104879
+10,13,0.2504047,14.807274407557463
+11,10,0.2695546,15.939672578108114
+12,7,0.3694813,21.84867535458025
diff --git a/modelling/data/abingdon-birds/resident/pheasant_synthesised.png b/modelling/data/abingdon-birds/resident/pheasant_synthesised.png
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HcmV?d00001

diff --git a/modelling/data/abingdon-birds/resident/pied_wagtail_classification.json b/modelling/data/abingdon-birds/resident/pied_wagtail_classification.json
new file mode 100644
index 0000000..3d6305e
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/pied_wagtail_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Pied Wagtail",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "moderate",
+    "detectability_peak_timing": "late_spring_early_summer",
+    "detectability_trough_timing": "summer",
+    "spring_carryover": "weak",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "strong",
+    "pre_summer_retention": "strong",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "moderate_baseline_presence",
+      "late_spring_early_summer_detectability_peak",
+      "summer_detectability_trough",
+      "weak_spring_carryover",
+      "moderate_summer_suppression",
+      "strong_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "low"
+  },
+  "derived_metrics": {
+    "target_peak_month": 5,
+    "target_peak_label": "May",
+    "target_trough_month": 8,
+    "target_trough_label": "August",
+    "target_peak_value": 0.6489092276190818,
+    "target_trough_value": 0.08711531496572479,
+    "target_mean_value": 0.31229921259198684,
+    "target_amplitude": 0.561793912653357,
+    "baseline_to_peak_ratio": 0.32824313622649515,
+    "autumn_to_winter_weight_ratio": 0.05603448275862069,
+    "year_end_to_winter_weight_ratio": 0.39870689655172414,
+    "decay_to_growth_ratio": 1.5668789808917198,
+    "monthly_target": {
+      "January": 0.25502884227876366,
+      "February": 0.2581827990638888,
+      "March": 0.33696528323034225,
+      "April": 0.6328073708428182,
+      "May": 0.6489092276190818,
+      "June": 0.34297126803556494,
+      "July": 0.250017201392909,
+      "August": 0.08711531496572479,
+      "September": 0.12637036673415464,
+      "October": 0.20133458946664998,
+      "November": 0.23621712556422395,
+      "December": 0.37167116190972005
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.917,
+    "GROWTH_RATE": 1.884,
+    "DECAY_RATE": 2.952,
+    "SUMMER_DECAY_BOOST": 4.564,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.539,
+    "PRE_SUMMER_DECAY_END": 6.87,
+    "PRE_SUMMER_DECAY_SHARPNESS": 9.38,
+    "SPRING_CARRYOVER_WEIGHT": 0.042,
+    "SPRING_CARRYOVER_END": 7.14,
+    "SPRING_CARRYOVER_SHARPNESS": 17.158,
+    "BASELINE": 0.213,
+    "WINTER_WEIGHT": 0.464,
+    "AUTUMN_WEIGHT": 0.026,
+    "WINTER_PEAK": 4.535,
+    "AUTUMN_PEAK": 10.575,
+    "AUTUMN_ONSET": 10.245,
+    "AUTUMN_GATE_SHARPNESS": 6.37,
+    "WINTER_WIDTH": 10.335,
+    "WINTER_RISE_WIDTH": 10.441,
+    "WINTER_FALL_WIDTH": 11.023,
+    "AUTUMN_WIDTH": 7.018,
+    "AUTUMN_RISE_WIDTH": 7.962,
+    "AUTUMN_FALL_WIDTH": 6.558,
+    "SUMMER_DIP": 0.134,
+    "SUMMER_LOW": 8.16,
+    "SUMMER_ONSET": 5.89,
+    "SUMMER_GATE_SHARPNESS": 4.888,
+    "SUMMER_DECAY_ONSET": 7.165,
+    "SUMMER_DECAY_GATE_SHARPNESS": 15.358,
+    "SUMMER_WIDTH": 21.244,
+    "SUMMER_RISE_WIDTH": 35.528,
+    "SUMMER_FALL_WIDTH": 8.946,
+    "SCALE": 1.4,
+    "YEAR_END_WEIGHT": 0.185,
+    "YEAR_END_PEAK": 12.134,
+    "YEAR_END_WIDTH": 95.438,
+    "YEAR_END_RISE_WIDTH": 178.752,
+    "YEAR_END_FALL_WIDTH": 11.356
+  },
+  "fit": {
+    "score": 0.396
+  },
+  "warnings": [],
+  "summary": "Pied Wagtail is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around May and reaches its lowest point around August. The model indicates moderate baseline presence, weak spring carry-over, strong pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/pied_wagtail_consensus.json b/modelling/data/abingdon-birds/resident/pied_wagtail_consensus.json
new file mode 100644
index 0000000..91fb46f
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/pied_wagtail_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.396",
+  "INITIAL_Y": "0.917",
+  "GROWTH_RATE": "1.884",
+  "DECAY_RATE": "2.952",
+  "SUMMER_DECAY_BOOST": "4.564",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.539",
+  "PRE_SUMMER_DECAY_END": "6.87",
+  "PRE_SUMMER_DECAY_SHARPNESS": "9.38",
+  "SPRING_CARRYOVER_WEIGHT": "0.042",
+  "SPRING_CARRYOVER_END": "7.14",
+  "SPRING_CARRYOVER_SHARPNESS": "17.158",
+  "BASELINE": "0.213",
+  "WINTER_WEIGHT": "0.464",
+  "AUTUMN_WEIGHT": "0.026",
+  "WINTER_PEAK": "4.535",
+  "AUTUMN_PEAK": "10.575",
+  "AUTUMN_ONSET": "10.245",
+  "AUTUMN_GATE_SHARPNESS": "6.37",
+  "WINTER_WIDTH": "10.335",
+  "WINTER_RISE_WIDTH": "10.441",
+  "WINTER_FALL_WIDTH": "11.023",
+  "AUTUMN_WIDTH": "7.018",
+  "AUTUMN_RISE_WIDTH": "7.962",
+  "AUTUMN_FALL_WIDTH": "6.558",
+  "SUMMER_DIP": "0.134",
+  "SUMMER_LOW": "8.16",
+  "SUMMER_ONSET": "5.89",
+  "SUMMER_GATE_SHARPNESS": "4.888",
+  "SUMMER_DECAY_ONSET": "7.165",
+  "SUMMER_DECAY_GATE_SHARPNESS": "15.358",
+  "SUMMER_WIDTH": "21.244",
+  "SUMMER_RISE_WIDTH": "35.528",
+  "SUMMER_FALL_WIDTH": "8.946",
+  "SCALE": "1.4",
+  "YEAR_END_WEIGHT": "0.185",
+  "YEAR_END_PEAK": "12.134",
+  "YEAR_END_WIDTH": "95.438",
+  "YEAR_END_RISE_WIDTH": "178.752",
+  "YEAR_END_FALL_WIDTH": "11.356",
+  "SPECIES": "Pied Wagtail"
+}
diff --git a/modelling/data/abingdon-birds/resident/pied_wagtail_observed.csv b/modelling/data/abingdon-birds/resident/pied_wagtail_observed.csv
new file mode 100644
index 0000000..725d687
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/pied_wagtail_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,15
+2,15
+3,12
+4,14
+5,18
+6,5
+7,3
+8,2
+9,5
+10,3
+11,15
+12,7
diff --git a/modelling/data/abingdon-birds/resident/pied_wagtail_parameters.csv b/modelling/data/abingdon-birds/resident/pied_wagtail_parameters.csv
new file mode 100644
index 0000000..d9444c1
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/pied_wagtail_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 10:14:03,pied_wagtail_observed.csv,0.8408374075182492508134208618,1.179,1.601,4.277,6.749,0.187,7.22,14.745,0.085,6.66,20.623,0.26,0.307,0.034,5.69,10.01,9.41,3.496,2.822,2.307,3.336,2.738,1.574,3.903,0.166,9.09,5.13,4.348,7.09,22.497,35.478,57.28,13.676,1.147,0.337,12.119,92.977,173.62,12.334
+2026-05-21 10:14:03,pied_wagtail_observed.csv,0.8405676412479436716587334106,0.975,1.274,3.217,1.056,0.475,7.68,6.937,0.049,7.17,16.345,0.323,0.097,0.028,5.76,10.16,11.39,11.816,15.527,11.159,19.895,4.224,1.42,7.027,0.028,6.79,5.97,4.87,7.02,17.798,26.626,34.297,18.956,1.264,0.326,12.248,107.634,209.862,5.406
+2026-05-21 10:14:04,pied_wagtail_observed.csv,0.6784993309497208271657147501,0.839,2.448,2.177,7.548,0.357,6.77,10.208,0.094,6.51,24.793,0.261,0.02,0.05,4.1,11.65,10.97,10.0,7.200,4.887,9.512,6.354,8.461,4.247,0.163,7.73,6.3,6.655,6.88,6.194,22.604,38.694,6.514,0.852,0.32,12.178,127.248,238.958,15.539
+2026-05-21 10:14:04,pied_wagtail_observed.csv,0.6753506175748024488907336084,0.653,2.664,5.495,6.881,0.215,7.36,14.986,0.082,6.64,20.487,0.328,0.147,0.006,4.43,11.4,9.64,10.084,9.774,16.009,3.539,7.591,11.237,3.945,0.237,8.31,5.61,7.932,7.27,7.233,29.482,49.53,9.433,0.939,0.133,12.272,86.314,160.617,12.011
+2026-05-21 10:14:04,pied_wagtail_observed.csv,1.073766376570098398740870367,1.025,2.466,3.94,8.0,0.765,6.6,12.216,0.007,6.67,19.071,0.257,0.04,0.015,6.41,10.53,10.15,6.83,4.874,3.425,6.324,4.366,5.802,2.929,0.088,6.68,7.42,4.75,7.26,10.607,33.058,60.619,5.497,0.883,0.248,12.17,99.184,193.872,4.497
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diff --git a/modelling/data/abingdon-birds/resident/pied_wagtail_simulated.csv b/modelling/data/abingdon-birds/resident/pied_wagtail_simulated.csv
new file mode 100644
index 0000000..2a4f4fb
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/pied_wagtail_simulated.csv
@@ -0,0 +1,123 @@
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diff --git a/modelling/data/abingdon-birds/resident/pied_wagtail_synthesised.csv b/modelling/data/abingdon-birds/resident/pied_wagtail_synthesised.csv
new file mode 100644
index 0000000..cbcbd72
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/pied_wagtail_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
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+10,3,0.1942089,5.106211088117654
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diff --git a/modelling/data/abingdon-birds/resident/pied_wagtail_synthesised.png b/modelling/data/abingdon-birds/resident/pied_wagtail_synthesised.png
new file mode 100644
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diff --git a/modelling/data/abingdon-birds/resident/red_kite_classification.json b/modelling/data/abingdon-birds/resident/red_kite_classification.json
new file mode 100644
index 0000000..cfb252b
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/red_kite_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Red Kite",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_spring_persistence_and_summer_suppression",
+    "baseline_presence": "strong",
+    "detectability_peak_timing": "spring",
+    "detectability_trough_timing": "summer",
+    "spring_carryover": "moderate",
+    "summer_suppression": "strong",
+    "summer_decay_acceleration": "strong",
+    "pre_summer_retention": "strong",
+    "autumn_component": "meaningful",
+    "year_end_component": "meaningful",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "strong_baseline_presence",
+      "spring_detectability_peak",
+      "summer_detectability_trough",
+      "moderate_spring_carryover",
+      "strong_summer_suppression",
+      "strong_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "meaningful_autumn_component",
+      "meaningful_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "low"
+  },
+  "derived_metrics": {
+    "target_peak_month": 3,
+    "target_peak_label": "March",
+    "target_trough_month": 8,
+    "target_trough_label": "August",
+    "target_peak_value": 1.0074157267725683,
+    "target_trough_value": 0.4062821797522262,
+    "target_mean_value": 0.7405183265563009,
+    "target_amplitude": 0.6011335470203422,
+    "baseline_to_peak_ratio": 0.5876422059605672,
+    "autumn_to_winter_weight_ratio": 0.13592233009708737,
+    "year_end_to_winter_weight_ratio": 0.9466019417475728,
+    "decay_to_growth_ratio": 1.541724296911019,
+    "monthly_target": {
+      "January": 0.8214395025283195,
+      "February": 0.922787408067599,
+      "March": 1.0074157267725683,
+      "April": 0.8971379469654726,
+      "May": 0.8120719678650505,
+      "June": 0.8021635741366454,
+      "July": 0.7878646327678699,
+      "August": 0.4062821797522262,
+      "September": 0.5041671156189299,
+      "October": 0.5835060958044874,
+      "November": 0.6179032767734312,
+      "December": 0.7234804916230109
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 1.003,
+    "GROWTH_RATE": 2.169,
+    "DECAY_RATE": 3.344,
+    "SUMMER_DECAY_BOOST": 4.088,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.545,
+    "PRE_SUMMER_DECAY_END": 7.05,
+    "PRE_SUMMER_DECAY_SHARPNESS": 10.364,
+    "SPRING_CARRYOVER_WEIGHT": 0.21,
+    "SPRING_CARRYOVER_END": 7.245,
+    "SPRING_CARRYOVER_SHARPNESS": 15.318,
+    "BASELINE": 0.592,
+    "WINTER_WEIGHT": 0.206,
+    "AUTUMN_WEIGHT": 0.028,
+    "WINTER_PEAK": 2.935,
+    "AUTUMN_PEAK": 10.78,
+    "AUTUMN_ONSET": 10.585,
+    "AUTUMN_GATE_SHARPNESS": 7.288,
+    "WINTER_WIDTH": 10.11,
+    "WINTER_RISE_WIDTH": 8.82,
+    "WINTER_FALL_WIDTH": 9.808,
+    "AUTUMN_WIDTH": 7.861,
+    "AUTUMN_RISE_WIDTH": 7.814,
+    "AUTUMN_FALL_WIDTH": 7.742,
+    "SUMMER_DIP": 0.186,
+    "SUMMER_LOW": 7.98,
+    "SUMMER_ONSET": 6.555,
+    "SUMMER_GATE_SHARPNESS": 4.641,
+    "SUMMER_DECAY_ONSET": 7.18,
+    "SUMMER_DECAY_GATE_SHARPNESS": 16.595,
+    "SUMMER_WIDTH": 26.718,
+    "SUMMER_RISE_WIDTH": 43.176,
+    "SUMMER_FALL_WIDTH": 10.396,
+    "SCALE": 1.33,
+    "YEAR_END_WEIGHT": 0.195,
+    "YEAR_END_PEAK": 12.208,
+    "YEAR_END_WIDTH": 90.306,
+    "YEAR_END_RISE_WIDTH": 168.367,
+    "YEAR_END_FALL_WIDTH": 8.389
+  },
+  "fit": {
+    "score": 0.481
+  },
+  "warnings": [],
+  "summary": "Red Kite is classified as resident with spring persistence and summer suppression. The fitted resident detectability target peaks around March and reaches its lowest point around August. The model indicates strong baseline presence, moderate spring carry-over, strong pre-summer retention, strong summer suppression, and strong summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/red_kite_consensus.json b/modelling/data/abingdon-birds/resident/red_kite_consensus.json
new file mode 100644
index 0000000..e4d6baf
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/red_kite_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.481",
+  "INITIAL_Y": "1.003",
+  "GROWTH_RATE": "2.169",
+  "DECAY_RATE": "3.344",
+  "SUMMER_DECAY_BOOST": "4.088",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.545",
+  "PRE_SUMMER_DECAY_END": "7.05",
+  "PRE_SUMMER_DECAY_SHARPNESS": "10.364",
+  "SPRING_CARRYOVER_WEIGHT": "0.21",
+  "SPRING_CARRYOVER_END": "7.245",
+  "SPRING_CARRYOVER_SHARPNESS": "15.318",
+  "BASELINE": "0.592",
+  "WINTER_WEIGHT": "0.206",
+  "AUTUMN_WEIGHT": "0.028",
+  "WINTER_PEAK": "2.935",
+  "AUTUMN_PEAK": "10.78",
+  "AUTUMN_ONSET": "10.585",
+  "AUTUMN_GATE_SHARPNESS": "7.288",
+  "WINTER_WIDTH": "10.11",
+  "WINTER_RISE_WIDTH": "8.82",
+  "WINTER_FALL_WIDTH": "9.808",
+  "AUTUMN_WIDTH": "7.861",
+  "AUTUMN_RISE_WIDTH": "7.814",
+  "AUTUMN_FALL_WIDTH": "7.742",
+  "SUMMER_DIP": "0.186",
+  "SUMMER_LOW": "7.98",
+  "SUMMER_ONSET": "6.555",
+  "SUMMER_GATE_SHARPNESS": "4.641",
+  "SUMMER_DECAY_ONSET": "7.18",
+  "SUMMER_DECAY_GATE_SHARPNESS": "16.595",
+  "SUMMER_WIDTH": "26.718",
+  "SUMMER_RISE_WIDTH": "43.176",
+  "SUMMER_FALL_WIDTH": "10.396",
+  "SCALE": "1.33",
+  "YEAR_END_WEIGHT": "0.195",
+  "YEAR_END_PEAK": "12.208",
+  "YEAR_END_WIDTH": "90.306",
+  "YEAR_END_RISE_WIDTH": "168.367",
+  "YEAR_END_FALL_WIDTH": "8.389",
+  "SPECIES": "Red Kite"
+}
diff --git a/modelling/data/abingdon-birds/resident/red_kite_observed.csv b/modelling/data/abingdon-birds/resident/red_kite_observed.csv
new file mode 100644
index 0000000..a0f1362
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/red_kite_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,145
+2,131
+3,147
+4,142
+5,138
+6,119
+7,132
+8,97
+9,105
+10,112
+11,128
+12,127
diff --git a/modelling/data/abingdon-birds/resident/red_kite_parameters.csv b/modelling/data/abingdon-birds/resident/red_kite_parameters.csv
new file mode 100644
index 0000000..430c748
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/red_kite_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
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diff --git a/modelling/data/abingdon-birds/resident/red_kite_simulated.csv b/modelling/data/abingdon-birds/resident/red_kite_simulated.csv
new file mode 100644
index 0000000..84320aa
--- /dev/null
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diff --git a/modelling/data/abingdon-birds/resident/red_kite_synthesised.csv b/modelling/data/abingdon-birds/resident/red_kite_synthesised.csv
new file mode 100644
index 0000000..36df73b
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/red_kite_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-birds/resident/red_kite_synthesised.png b/modelling/data/abingdon-birds/resident/red_kite_synthesised.png
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HcmV?d00001

diff --git a/modelling/data/abingdon-birds/resident/robin_classification.json b/modelling/data/abingdon-birds/resident/robin_classification.json
new file mode 100644
index 0000000..ae2aae9
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/robin_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Robin",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "moderate",
+    "detectability_peak_timing": "winter",
+    "detectability_trough_timing": "summer",
+    "spring_carryover": "weak",
+    "summer_suppression": "strong",
+    "summer_decay_acceleration": "moderate",
+    "pre_summer_retention": "strong",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "moderate_baseline_presence",
+      "winter_detectability_peak",
+      "summer_detectability_trough",
+      "weak_spring_carryover",
+      "strong_summer_suppression",
+      "moderate_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "medium"
+  },
+  "derived_metrics": {
+    "target_peak_month": 2,
+    "target_peak_label": "February",
+    "target_trough_month": 7,
+    "target_trough_label": "July",
+    "target_peak_value": 0.6573681626798243,
+    "target_trough_value": 0.15671528132670026,
+    "target_mean_value": 0.3613473640431974,
+    "target_amplitude": 0.500652881353124,
+    "baseline_to_peak_ratio": 0.4016014388706911,
+    "autumn_to_winter_weight_ratio": 0.0621301775147929,
+    "year_end_to_winter_weight_ratio": 0.636094674556213,
+    "decay_to_growth_ratio": 1.3521066208082546,
+    "monthly_target": {
+      "January": 0.5470102308227692,
+      "February": 0.6573681626798243,
+      "March": 0.499791964416646,
+      "April": 0.3531001678397938,
+      "May": 0.32331102826011254,
+      "June": 0.31934604246592035,
+      "July": 0.15671528132670026,
+      "August": 0.17322202093213637,
+      "September": 0.25569963659634476,
+      "October": 0.2793354081112798,
+      "November": 0.28726466401065437,
+      "December": 0.4840037610561871
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 1.002,
+    "GROWTH_RATE": 2.326,
+    "DECAY_RATE": 3.145,
+    "SUMMER_DECAY_BOOST": 3.998,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.553,
+    "PRE_SUMMER_DECAY_END": 7.0,
+    "PRE_SUMMER_DECAY_SHARPNESS": 8.601,
+    "SPRING_CARRYOVER_WEIGHT": 0.058,
+    "SPRING_CARRYOVER_END": 7.085,
+    "SPRING_CARRYOVER_SHARPNESS": 16.108,
+    "BASELINE": 0.264,
+    "WINTER_WEIGHT": 0.338,
+    "AUTUMN_WEIGHT": 0.021,
+    "WINTER_PEAK": 1.875,
+    "AUTUMN_PEAK": 10.79,
+    "AUTUMN_ONSET": 9.685,
+    "AUTUMN_GATE_SHARPNESS": 7.41,
+    "WINTER_WIDTH": 7.894,
+    "WINTER_RISE_WIDTH": 7.698,
+    "WINTER_FALL_WIDTH": 7.298,
+    "AUTUMN_WIDTH": 6.388,
+    "AUTUMN_RISE_WIDTH": 5.05,
+    "AUTUMN_FALL_WIDTH": 6.12,
+    "SUMMER_DIP": 0.166,
+    "SUMMER_LOW": 7.16,
+    "SUMMER_ONSET": 5.475,
+    "SUMMER_GATE_SHARPNESS": 3.792,
+    "SUMMER_DECAY_ONSET": 7.15,
+    "SUMMER_DECAY_GATE_SHARPNESS": 16.356,
+    "SUMMER_WIDTH": 26.391,
+    "SUMMER_RISE_WIDTH": 42.76,
+    "SUMMER_FALL_WIDTH": 12.378,
+    "SCALE": 1.3,
+    "YEAR_END_WEIGHT": 0.215,
+    "YEAR_END_PEAK": 12.168,
+    "YEAR_END_WIDTH": 82.26,
+    "YEAR_END_RISE_WIDTH": 152.941,
+    "YEAR_END_FALL_WIDTH": 10.096
+  },
+  "fit": {
+    "score": 0.288
+  },
+  "warnings": [],
+  "summary": "Robin is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around February and reaches its lowest point around July. The model indicates moderate baseline presence, weak spring carry-over, strong pre-summer retention, strong summer suppression, and moderate summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/robin_consensus.json b/modelling/data/abingdon-birds/resident/robin_consensus.json
new file mode 100644
index 0000000..e6a6546
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/robin_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.288",
+  "INITIAL_Y": "1.002",
+  "GROWTH_RATE": "2.326",
+  "DECAY_RATE": "3.145",
+  "SUMMER_DECAY_BOOST": "3.998",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.553",
+  "PRE_SUMMER_DECAY_END": "7",
+  "PRE_SUMMER_DECAY_SHARPNESS": "8.601",
+  "SPRING_CARRYOVER_WEIGHT": "0.058",
+  "SPRING_CARRYOVER_END": "7.085",
+  "SPRING_CARRYOVER_SHARPNESS": "16.108",
+  "BASELINE": "0.264",
+  "WINTER_WEIGHT": "0.338",
+  "AUTUMN_WEIGHT": "0.021",
+  "WINTER_PEAK": "1.875",
+  "AUTUMN_PEAK": "10.79",
+  "AUTUMN_ONSET": "9.685",
+  "AUTUMN_GATE_SHARPNESS": "7.41",
+  "WINTER_WIDTH": "7.894",
+  "WINTER_RISE_WIDTH": "7.698",
+  "WINTER_FALL_WIDTH": "7.298",
+  "AUTUMN_WIDTH": "6.388",
+  "AUTUMN_RISE_WIDTH": "5.05",
+  "AUTUMN_FALL_WIDTH": "6.12",
+  "SUMMER_DIP": "0.166",
+  "SUMMER_LOW": "7.16",
+  "SUMMER_ONSET": "5.475",
+  "SUMMER_GATE_SHARPNESS": "3.792",
+  "SUMMER_DECAY_ONSET": "7.15",
+  "SUMMER_DECAY_GATE_SHARPNESS": "16.356",
+  "SUMMER_WIDTH": "26.391",
+  "SUMMER_RISE_WIDTH": "42.76",
+  "SUMMER_FALL_WIDTH": "12.378",
+  "SCALE": "1.3",
+  "YEAR_END_WEIGHT": "0.215",
+  "YEAR_END_PEAK": "12.168",
+  "YEAR_END_WIDTH": "82.26",
+  "YEAR_END_RISE_WIDTH": "152.941",
+  "YEAR_END_FALL_WIDTH": "10.096",
+  "SPECIES": "Robin"
+}
diff --git a/modelling/data/abingdon-birds/resident/robin_observed.csv b/modelling/data/abingdon-birds/resident/robin_observed.csv
new file mode 100644
index 0000000..4b97846
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/robin_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,138
+2,107
+3,110
+4,117
+5,107
+6,55
+7,31
+8,35
+9,58
+10,59
+11,50
+12,85
diff --git a/modelling/data/abingdon-birds/resident/robin_parameters.csv b/modelling/data/abingdon-birds/resident/robin_parameters.csv
new file mode 100644
index 0000000..7afa670
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/robin_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 10:16:10,robin_observed.csv,1.651687808186557092899168478,0.792,3.157,1.429,1.681,0.605,6.73,11.22,0.011,6.94,20.356,0.433,0.628,0.014,2.03,11.19,11.2,5.813,4.136,3.475,4.798,11.040,9.833,12.248,0.171,7.1,6.44,4.03,7.09,8.229,1.956,3.139,0.773,1.767,0.259,12.021,83.576,162.701,4.452
+2026-05-21 10:16:10,robin_observed.csv,1.881892533945174927411427970,1.237,0.851,4.178,6.345,0.166,6.76,10.131,0.066,6.92,9.906,0.541,0.611,0.042,11.67,11.3,10.0,8.065,3.705,4.096,3.314,13.322,13.066,13.577,0.146,5.64,5.15,7.801,7.24,10.692,34.694,57.086,12.302,1.265,0.271,12.16,86.856,166.795,6.918
+2026-05-21 10:16:10,robin_observed.csv,1.000043263988068754323725090,0.792,1.53,2.748,1.255,0.782,7.07,15.511,0.081,7.25,22.584,0.133,0.524,0.016,11.62,1.48,10.17,11.834,9.222,7.781,10.663,7.902,7.384,8.421,0.077,5.67,6.38,7.912,7.33,9.466,28.346,43.925,12.767,1.036,0.014,12.232,111.704,211.755,11.653
+2026-05-21 10:16:11,robin_observed.csv,0.6666103951454539887662453700,0.812,0.771,2.178,2.408,0.9,7.54,3.561,0.083,7.56,20.688,0.398,0.627,0.011,1.96,11.25,8.91,10.936,13.094,11.181,15.008,5.208,0.685,9.73,0.099,7.29,5.75,4.28,7.6,12.178,32.342,63.309,1.376,1.689,0.141,12.116,105.706,205.366,6.047
+2026-05-21 10:16:11,robin_observed.csv,0.1877578307956681823619914050,0.821,2.031,2.905,6.534,0.865,6.39,10.842,0.014,7.48,10.034,0.5,0.119,0.016,1.61,1.11,10.31,9.3,7.636,3.936,11.335,2.634,1.228,4.04,0.212,7.38,6.38,5.424,7.39,21.883,34.892,57.408,12.375,0.998,0.335,12.085,57.497,110.847,4.147
+2026-05-21 10:16:11,robin_observed.csv,0.5712313767107503707129851216,1.207,0.857,3.256,4.05,0.127,6.77,15.695,0.063,7.09,12.121,0.156,0.714,0.011,1.93,1.2,9.08,11.602,8.530,15.918,1.141,12.940,12.969,12.911,0.138,6.09,5.32,7.933,7.29,19.886,34.465,67.836,1.094,1.118,0.291,12.082,94.458,177.616,11.301
+2026-05-21 10:16:12,robin_observed.csv,0.2832354362123278619407844479,1.287,1.994,3.5,3.598,0.333,6.76,15.307,0.025,6.69,8.832,0.181,0.592,0.043,1.51,1.2,11.3,3.575,6.736,9.073,4.398,3.234,2.919,3.548,0.212,7.35,4.22,2.759,6.88,6.095,15.516,14.746,16.285,1.24,0.264,12.094,76.600,146.445,6.755
+2026-05-21 10:16:12,robin_observed.csv,2.458048556181026079223073281,1.06,2.247,1.249,1.975,0.228,6.49,11.714,0.064,7.37,16.62,0.41,0.625,0.022,11.55,1.19,8.81,5.587,3.199,0.821,5.577,6.665,5.958,7.372,0.005,8.04,6.18,5.894,7.46,8.564,47.246,75.619,18.874,1.169,0.26,12.226,48.250,82.985,13.514
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diff --git a/modelling/data/abingdon-birds/resident/robin_simulated.csv b/modelling/data/abingdon-birds/resident/robin_simulated.csv
new file mode 100644
index 0000000..a0fba5f
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/robin_simulated.csv
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diff --git a/modelling/data/abingdon-birds/resident/robin_synthesised.csv b/modelling/data/abingdon-birds/resident/robin_synthesised.csv
new file mode 100644
index 0000000..3255645
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/robin_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
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+9,58,0.2480515,47.34359575199033
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diff --git a/modelling/data/abingdon-birds/resident/robin_synthesised.png b/modelling/data/abingdon-birds/resident/robin_synthesised.png
new file mode 100644
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diff --git a/modelling/data/abingdon-birds/resident/rook_classification.json b/modelling/data/abingdon-birds/resident/rook_classification.json
new file mode 100644
index 0000000..b72e96c
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/rook_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Rook",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "weak",
+    "detectability_peak_timing": "spring",
+    "detectability_trough_timing": "summer",
+    "spring_carryover": "weak",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "moderate",
+    "pre_summer_retention": "moderate",
+    "autumn_component": "weak",
+    "year_end_component": "weak",
+    "response_dynamics": "decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "weak_baseline_presence",
+      "spring_detectability_peak",
+      "summer_detectability_trough",
+      "weak_spring_carryover",
+      "moderate_summer_suppression",
+      "moderate_summer_decay_acceleration",
+      "moderate_pre_summer_retention",
+      "weak_autumn_component",
+      "weak_year_end_component",
+      "decline_biased_response_dynamics"
+    ],
+    "confidence": "medium"
+  },
+  "derived_metrics": {
+    "target_peak_month": 4,
+    "target_peak_label": "April",
+    "target_trough_month": 7,
+    "target_trough_label": "July",
+    "target_peak_value": 0.6544130305529264,
+    "target_trough_value": 0.0,
+    "target_mean_value": 0.1652963016372777,
+    "target_amplitude": 0.6544130305529264,
+    "baseline_to_peak_ratio": 0.07946052045458842,
+    "autumn_to_winter_weight_ratio": 0.050724637681159424,
+    "year_end_to_winter_weight_ratio": 0.26811594202898553,
+    "decay_to_growth_ratio": 1.4050073637702503,
+    "monthly_target": {
+      "January": 0.1041577613333837,
+      "February": 0.11950833109424067,
+      "March": 0.326119599334564,
+      "April": 0.6544130305529264,
+      "May": 0.3689333722389035,
+      "June": 0.0070540232835043645,
+      "July": 0.0,
+      "August": 0.033580597587291615,
+      "September": 0.05122662179023644,
+      "October": 0.06971303733671011,
+      "November": 0.07982194411505632,
+      "December": 0.16902730098051527
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.566,
+    "GROWTH_RATE": 2.716,
+    "DECAY_RATE": 3.816,
+    "SUMMER_DECAY_BOOST": 3.372,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.394,
+    "PRE_SUMMER_DECAY_END": 6.925,
+    "PRE_SUMMER_DECAY_SHARPNESS": 7.858,
+    "SPRING_CARRYOVER_WEIGHT": 0.052,
+    "SPRING_CARRYOVER_END": 6.875,
+    "SPRING_CARRYOVER_SHARPNESS": 15.716,
+    "BASELINE": 0.052,
+    "WINTER_WEIGHT": 0.552,
+    "AUTUMN_WEIGHT": 0.028,
+    "WINTER_PEAK": 4.06,
+    "AUTUMN_PEAK": 10.88,
+    "AUTUMN_ONSET": 9.62,
+    "AUTUMN_GATE_SHARPNESS": 7.891,
+    "WINTER_WIDTH": 11.347,
+    "WINTER_RISE_WIDTH": 11.668,
+    "WINTER_FALL_WIDTH": 11.918,
+    "AUTUMN_WIDTH": 7.188,
+    "AUTUMN_RISE_WIDTH": 7.638,
+    "AUTUMN_FALL_WIDTH": 6.444,
+    "SUMMER_DIP": 0.135,
+    "SUMMER_LOW": 6.2,
+    "SUMMER_ONSET": 4.625,
+    "SUMMER_GATE_SHARPNESS": 3.994,
+    "SUMMER_DECAY_ONSET": 7.23,
+    "SUMMER_DECAY_GATE_SHARPNESS": 14.516,
+    "SUMMER_WIDTH": 26.257,
+    "SUMMER_RISE_WIDTH": 44.242,
+    "SUMMER_FALL_WIDTH": 8.63,
+    "SCALE": 1.13,
+    "YEAR_END_WEIGHT": 0.148,
+    "YEAR_END_PEAK": 12.178,
+    "YEAR_END_WIDTH": 94.904,
+    "YEAR_END_RISE_WIDTH": 175.578,
+    "YEAR_END_FALL_WIDTH": 9.714
+  },
+  "fit": {
+    "score": 0.295
+  },
+  "warnings": [],
+  "summary": "Rook is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around April and reaches its lowest point around July. The model indicates weak baseline presence, weak spring carry-over, moderate pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/rook_consensus.json b/modelling/data/abingdon-birds/resident/rook_consensus.json
new file mode 100644
index 0000000..1ef93f4
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/rook_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.295",
+  "INITIAL_Y": "0.566",
+  "GROWTH_RATE": "2.716",
+  "DECAY_RATE": "3.816",
+  "SUMMER_DECAY_BOOST": "3.372",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.394",
+  "PRE_SUMMER_DECAY_END": "6.925",
+  "PRE_SUMMER_DECAY_SHARPNESS": "7.858",
+  "SPRING_CARRYOVER_WEIGHT": "0.052",
+  "SPRING_CARRYOVER_END": "6.875",
+  "SPRING_CARRYOVER_SHARPNESS": "15.716",
+  "BASELINE": "0.052",
+  "WINTER_WEIGHT": "0.552",
+  "AUTUMN_WEIGHT": "0.028",
+  "WINTER_PEAK": "4.06",
+  "AUTUMN_PEAK": "10.88",
+  "AUTUMN_ONSET": "9.62",
+  "AUTUMN_GATE_SHARPNESS": "7.891",
+  "WINTER_WIDTH": "11.347",
+  "WINTER_RISE_WIDTH": "11.668",
+  "WINTER_FALL_WIDTH": "11.918",
+  "AUTUMN_WIDTH": "7.188",
+  "AUTUMN_RISE_WIDTH": "7.638",
+  "AUTUMN_FALL_WIDTH": "6.444",
+  "SUMMER_DIP": "0.135",
+  "SUMMER_LOW": "6.2",
+  "SUMMER_ONSET": "4.625",
+  "SUMMER_GATE_SHARPNESS": "3.994",
+  "SUMMER_DECAY_ONSET": "7.23",
+  "SUMMER_DECAY_GATE_SHARPNESS": "14.516",
+  "SUMMER_WIDTH": "26.257",
+  "SUMMER_RISE_WIDTH": "44.242",
+  "SUMMER_FALL_WIDTH": "8.63",
+  "SCALE": "1.13",
+  "YEAR_END_WEIGHT": "0.148",
+  "YEAR_END_PEAK": "12.178",
+  "YEAR_END_WIDTH": "94.904",
+  "YEAR_END_RISE_WIDTH": "175.578",
+  "YEAR_END_FALL_WIDTH": "9.714",
+  "SPECIES": "Rook"
+}
diff --git a/modelling/data/abingdon-birds/resident/rook_observed.csv b/modelling/data/abingdon-birds/resident/rook_observed.csv
new file mode 100644
index 0000000..764d1ed
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/rook_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,16
+2,15
+3,10
+4,31
+5,19
+6,0
+7,1
+8,0
+9,2
+10,7
+11,16
+12,13
diff --git a/modelling/data/abingdon-birds/resident/rook_parameters.csv b/modelling/data/abingdon-birds/resident/rook_parameters.csv
new file mode 100644
index 0000000..a567bdf
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/rook_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 10:17:13,rook_observed.csv,0.4029616686087304802970259929,0.586,3.72,5.47,4.837,0.667,7.52,7.946,0.001,6.59,12.183,0.083,0.458,0.049,2.53,9.7,11.32,10.501,14.472,17.273,11.672,7.742,5.618,9.865,0.134,6.56,4.91,2.11,7.02,17.847,11.611,18.946,4.276,1.137,0.121,12.125,105.434,198.001,12.866
+2026-05-21 10:17:14,rook_observed.csv,0.4152179663944349357564193807,0.37,0.993,5.024,7.342,0.114,7.21,13.902,0.031,7.37,14.552,0.022,0.104,0.05,2.72,10.85,10.84,4.431,14.808,12.797,16.818,4.456,4.536,4.377,0.215,5.92,4.32,3.764,7.21,9.43,12.836,9.881,15.79,1.222,0.074,12.164,110.268,207.465,13.07
+2026-05-21 10:17:14,rook_observed.csv,18.50059282216891734598688111,0.646,1.016,0.295,4.395,0.456,6.78,5.782,0.0,6.8,7.924,0.064,0.644,0.013,4.15,11.84,10.73,11.328,4.088,6.202,1.975,5.144,3.579,6.708,0.095,5.85,3.9,6.728,6.91,16.371,18.906,24.006,13.805,1.358,0.157,12.249,110.462,215.222,5.703
+2026-05-21 10:17:14,rook_observed.csv,17.40845926690262530979822249,0.35,0.293,0.378,6.731,0.143,7.22,7.658,0.001,6.68,8.427,0.055,0.735,0.014,3.14,10.56,8.87,7.125,7.428,13.317,1.538,2.986,2.559,3.412,0.135,6.07,3.55,7.734,7.57,23.886,10.878,7.245,14.511,1.491,0.034,12.116,122.122,233.332,10.913
+2026-05-21 10:17:15,rook_observed.csv,0.5106020841243741981501119177,0.485,1.604,2.968,3.928,0.296,6.45,9.644,0.022,7.28,15.921,0.012,0.01,0.018,5.06,9.61,8.6,6.645,18.013,19.507,16.519,8.052,13.236,2.867,0.112,6.02,4.35,4.021,6.68,12.054,10.780,4.733,16.826,1.273,0.181,12.157,86.563,159.422,13.704
+2026-05-21 10:17:15,rook_observed.csv,2.157841155770590117080280381,0.663,2.724,4.044,4.788,0.092,7.66,12.512,0.037,7.39,6.556,0.009,0.485,0.038,5.23,10.5,10.35,10.761,5.556,10.492,0.62,10.980,10.686,11.275,0.119,5.56,3.5,3.51,7.39,18.046,30.130,47.234,13.027,1.284,0.344,12.228,112.247,217.048,7.446
+2026-05-21 10:17:15,rook_observed.csv,21.05264998840820544135530076,0.833,1.375,0.09,7.268,0.751,7.05,5.038,0.023,7.33,7.122,0.042,0.221,0.0,4.37,10.84,9.86,5.522,8.185,8.490,7.880,2.892,1.504,4.28,0.014,4.98,4.45,1.684,7.12,23.406,12.600,7.493,17.706,1.515,0.202,12.14,102.452,200.249,4.656
+2026-05-21 10:17:16,rook_observed.csv,0.6043667324268360285253919565,0.832,3.397,5.242,6.021,0.547,6.66,13.677,0.087,6.53,10.712,0.039,0.401,0.026,2.59,12.0,10.56,7.568,9.729,10.129,9.329,13.468,13.732,13.204,0.05,7.22,5.28,6.588,7.16,8.916,11.747,18.031,5.463,1.339,0.343,12.109,97.464,187.318,7.61
+2026-05-21 10:17:16,rook_observed.csv,1.563752087978427124446426431,0.76,1.497,0.413,5.482,0.726,6.73,10.7,0.015,6.73,6.415,0.038,0.199,0.019,3.33,11.96,11.33,11.218,6.924,11.341,2.506,9.298,9.354,9.243,0.228,6.63,3.51,2.328,7.16,6.894,23.042,32.514,13.571,1.295,0.131,12.264,117.234,229.71,4.757
+2026-05-21 10:17:16,rook_observed.csv,0.2784986977998766092766893993,0.582,2.292,5.089,7.966,0.164,7.47,4.496,0.011,6.76,9.973,0.086,0.361,0.011,5.0,10.85,8.9,4.545,11.816,11.233,12.399,11.522,11.439,11.606,0.231,7.28,4.07,3.973,7.44,16.635,6.526,9.09,3.963,1.076,0.0,12.209,70.372,134.189,6.555
+2026-05-21 10:17:17,rook_observed.csv,0.6253036679866674663041708939,0.733,0.25,2.491,7.122,0.118,6.33,9.257,0.03,6.93,20.508,0.009,0.154,0.03,2.69,11.69,11.09,8.065,9.028,9.631,8.425,6.912,12.701,1.122,0.148,5.23,3.76,4.225,6.85,18.276,11.117,19.619,2.615,0.878,0.332,12.128,59.610,111.283,7.936
+2026-05-21 10:17:17,rook_observed.csv,0.3437204027964254348199360942,0.818,1.706,5.971,7.762,0.646,6.35,11.316,0.065,6.81,8.885,0.018,0.242,0.008,3.67,11.26,8.93,8.722,5.416,3.514,7.318,7.664,6.877,8.452,0.08,7.23,4.59,0.905,6.76,22.717,43.175,69.404,16.946,1.19,0.007,12.111,56.534,100.197,12.871
+2026-05-21 10:17:17,rook_observed.csv,1.955967414532383204526265028,0.482,2.924,0.937,0.773,0.33,6.56,8.119,0.099,6.65,8.706,0.046,0.1,0.026,5.48,10.66,10.52,2.325,12.575,9.264,15.886,7.848,13.9,1.795,0.204,6.29,4.24,4.131,7.06,16.432,14.180,20.379,7.98,1.425,0.31,12.268,57.264,106.174,8.353
+2026-05-21 10:17:17,rook_observed.csv,0.2990664409998821470399585149,0.669,2.615,5.767,2.539,0.337,6.85,7.933,0.098,6.72,24.716,0.051,0.55,0.037,4.19,10.99,9.94,8.192,17.322,19.313,15.33,7.864,11.272,4.457,0.194,4.98,4.21,5.541,6.85,17.587,41.671,68.902,14.44,0.955,0.223,12.235,105.458,205.125,5.791
+2026-05-21 10:17:18,rook_observed.csv,1.564883273638338720103486196,0.812,1.371,4.311,5.309,0.726,6.89,5.588,0.072,6.59,20.765,0.068,0.095,0.03,4.14,10.03,10.07,11.094,15.435,13.883,16.987,6.308,5.993,6.624,0.179,5.12,4.59,3.114,6.84,20.23,32.698,52.659,12.737,1.743,0.341,12.276,49.546,91.626,7.465
+2026-05-21 10:17:18,rook_observed.csv,2.079905278700955539328965617,0.306,3.266,1.027,4.317,0.158,7.68,9.451,0.007,6.53,16.196,0.003,0.359,0.022,4.8,10.72,11.47,4.844,6.272,10.623,1.92,6.888,5.07,8.706,0.056,4.57,4.17,1.044,7.34,22.709,25.264,30.987,19.542,1.401,0.247,12.211,60.774,105.946,15.603
+2026-05-21 10:17:18,rook_observed.csv,0.3761836647580089896122427159,0.854,2.148,5.184,7.925,0.543,7.02,11.046,0.07,6.53,13.239,0.034,0.251,0.04,3.7,10.01,10.29,9.381,8.870,3.173,14.567,1.175,1.032,1.318,0.226,5.93,4.16,6.01,7.29,8.828,32.276,50.555,13.996,0.9,0.149,12.206,48.462,90.23,6.693
+2026-05-21 10:17:19,rook_observed.csv,0.3621023019798020099174006669,0.704,3.4,1.571,5.613,0.452,6.26,10.962,0.018,7.01,8.192,0.076,0.195,0.05,3.35,11.59,10.5,5.521,8.552,13.539,3.565,6.170,3.508,8.832,0.009,6.54,4.82,7.105,6.94,7.229,10.554,15.181,5.926,0.872,0.239,12.034,65.586,120.37,10.802
+2026-05-21 10:17:19,rook_observed.csv,0.7300165001721236435891698396,0.396,1.245,0.785,6.888,0.474,6.53,4.854,0.016,7.62,12.481,0.058,0.151,0.041,4.25,9.84,10.61,2.982,13.208,7.15,19.267,12.826,11.652,14.000,0.075,5.64,4.63,2.383,7.1,19.929,38.377,60.508,16.246,1.132,0.108,12.038,72.627,135.879,9.375
+2026-05-21 10:17:19,rook_observed.csv,0.5410260641353693462353711632,0.49,0.565,5.817,0.156,0.066,6.65,14.353,0.005,7.39,23.83,0.067,0.081,0.029,3.55,9.53,11.18,2.185,9.977,6.859,13.095,4.780,4.699,4.861,0.088,5.54,4.63,6.289,7.32,18.252,13.228,20.408,6.047,0.959,0.136,12.087,70.780,131.381,10.178
+2026-05-21 10:17:20,rook_observed.csv,18.89514092015992873043343552,0.361,2.916,0.065,5.262,0.59,7.45,14.913,0.035,7.02,9.287,0.04,0.25,0.038,3.41,10.27,9.33,9.219,7.406,10.177,4.634,10.281,10.461,10.101,0.006,5.52,4.44,1.352,7.58,16.989,35.743,53.158,18.328,1.21,0.083,12.113,106.460,203.783,9.137
+2026-05-21 10:17:20,rook_observed.csv,0.3766766630721559948932196883,0.316,1.927,4.074,6.697,0.643,6.4,9.222,0.066,7.45,13.898,0.062,0.036,0.015,3.39,11.56,10.46,4.478,3.276,1.382,5.169,1.770,1.863,1.677,0.163,4.78,4.06,6.028,7.6,16.543,24.702,43.821,5.584,0.85,0.001,12.02,82.742,158.78,6.703
+2026-05-21 10:17:20,rook_observed.csv,18.50868620002165992801248104,0.405,1.794,0.217,0.371,0.782,7.41,4.245,0.021,6.91,9.776,0.075,0.588,0.019,5.41,10.73,8.37,8.573,1.418,1.477,1.360,5.728,9.434,2.022,0.055,4.95,4.89,6.754,7.32,9.771,28.222,48.978,7.466,0.819,0.075,12.219,77.786,142.175,13.398
+2026-05-21 10:17:21,rook_observed.csv,1.654032451738248502803171407,0.676,1.178,0.59,0.767,0.061,7.23,11.959,0.086,7.62,8.362,0.083,0.412,0.022,3.01,11.3,10.95,6.958,14.320,9.119,19.52,3.658,6.229,1.088,0.232,4.72,4.44,1.538,7.47,11.854,16.945,20.94,12.95,1.465,0.139,12.144,111.197,214.862,7.532
+2026-05-21 10:17:21,rook_observed.csv,0.3083101146425256072861882675,0.353,1.755,0.513,6.15,0.883,7.54,7.029,0.024,6.81,17.443,0.058,0.632,0.033,4.89,10.92,10.2,2.112,13.567,7.932,19.202,1.261,1.733,0.789,0.083,5.78,4.12,6.222,6.82,22.028,27.651,54.734,0.568,1.185,0.256,12.209,110.604,211.87,9.337
+2026-05-21 10:17:21,rook_observed.csv,0.6546692438315739466128851845,0.554,3.364,2.929,7.525,0.119,6.26,7.291,0.078,6.78,13.759,0.071,0.149,0.048,2.91,11.1,8.27,11.543,8.344,1.524,15.165,11.095,9.841,12.349,0.192,4.8,3.57,5.709,7.2,18.614,30.991,44.888,17.094,1.136,0.3,12.23,89.514,166.132,12.897
+2026-05-21 10:17:22,rook_observed.csv,0.3923382138873643823814418400,0.368,0.722,0.119,2.451,0.118,6.29,5.088,0.064,6.61,7.659,0.022,0.675,0.011,2.69,9.87,11.27,7.096,15.568,16.089,15.047,7.408,13.424,1.393,0.197,5.64,5.06,5.82,7.26,18.158,18.414,31.884,4.943,0.988,0.258,12.233,50.312,95.639,4.986
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diff --git a/modelling/data/abingdon-birds/resident/rook_synthesised.csv b/modelling/data/abingdon-birds/resident/rook_synthesised.csv
new file mode 100644
index 0000000..fcae727
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/rook_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
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+7,1,0.0064591250000000005,0.33299918287308006
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+9,2,0.05143219,2.6515785409591857
+10,7,0.06983871,3.6005238113382236
+11,16,0.07906972,4.076427093453561
+12,13,0.1604304,8.27096427271517
diff --git a/modelling/data/abingdon-birds/resident/rook_synthesised.png b/modelling/data/abingdon-birds/resident/rook_synthesised.png
new file mode 100644
index 0000000000000000000000000000000000000000..af8d77fbd9d2751e44bfdaf2d128153c68a38c79
GIT binary patch
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HcmV?d00001

diff --git a/modelling/data/abingdon-birds/resident/skylark_classification.json b/modelling/data/abingdon-birds/resident/skylark_classification.json
new file mode 100644
index 0000000..9c11442
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/skylark_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Skylark",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "weak",
+    "detectability_peak_timing": "late_spring_early_summer",
+    "detectability_trough_timing": "autumn",
+    "spring_carryover": "moderate",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "strong",
+    "pre_summer_retention": "strong",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "weak_baseline_presence",
+      "late_spring_early_summer_detectability_peak",
+      "autumn_detectability_trough",
+      "moderate_spring_carryover",
+      "moderate_summer_suppression",
+      "strong_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "low"
+  },
+  "derived_metrics": {
+    "target_peak_month": 5,
+    "target_peak_label": "May",
+    "target_trough_month": 9,
+    "target_trough_label": "September",
+    "target_peak_value": 0.726172183778877,
+    "target_trough_value": 0.04900300516264195,
+    "target_mean_value": 0.2406220517571283,
+    "target_amplitude": 0.6771691786162352,
+    "baseline_to_peak_ratio": 0.06747710955411745,
+    "autumn_to_winter_weight_ratio": 0.052830188679245285,
+    "year_end_to_winter_weight_ratio": 0.32452830188679244,
+    "decay_to_growth_ratio": 1.6775032509752925,
+    "monthly_target": {
+      "January": 0.22101930674541034,
+      "February": 0.22118146706616718,
+      "March": 0.2473611513124377,
+      "April": 0.5387042667452578,
+      "May": 0.726172183778877,
+      "June": 0.4121005909587201,
+      "July": 0.10859642984674153,
+      "August": 0.04926933651983778,
+      "September": 0.04900300516264195,
+      "October": 0.053538354007424946,
+      "November": 0.06841234058998162,
+      "December": 0.19210618835204163
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.118,
+    "GROWTH_RATE": 2.307,
+    "DECAY_RATE": 3.87,
+    "SUMMER_DECAY_BOOST": 4.264,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.47,
+    "PRE_SUMMER_DECAY_END": 6.975,
+    "PRE_SUMMER_DECAY_SHARPNESS": 10.571,
+    "SPRING_CARRYOVER_WEIGHT": 0.172,
+    "SPRING_CARRYOVER_END": 6.925,
+    "SPRING_CARRYOVER_SHARPNESS": 15.224,
+    "BASELINE": 0.049,
+    "WINTER_WEIGHT": 0.53,
+    "AUTUMN_WEIGHT": 0.028,
+    "WINTER_PEAK": 4.72,
+    "AUTUMN_PEAK": 10.175,
+    "AUTUMN_ONSET": 10.235,
+    "AUTUMN_GATE_SHARPNESS": 6.917,
+    "WINTER_WIDTH": 11.493,
+    "WINTER_RISE_WIDTH": 14.252,
+    "WINTER_FALL_WIDTH": 8.912,
+    "AUTUMN_WIDTH": 7.73,
+    "AUTUMN_RISE_WIDTH": 6.897,
+    "AUTUMN_FALL_WIDTH": 7.684,
+    "SUMMER_DIP": 0.126,
+    "SUMMER_LOW": 1.88,
+    "SUMMER_ONSET": 4.285,
+    "SUMMER_GATE_SHARPNESS": 4.215,
+    "SUMMER_DECAY_ONSET": 7.155,
+    "SUMMER_DECAY_GATE_SHARPNESS": 18.226,
+    "SUMMER_WIDTH": 23.698,
+    "SUMMER_RISE_WIDTH": 39.219,
+    "SUMMER_FALL_WIDTH": 11.265,
+    "SCALE": 1.079,
+    "YEAR_END_WEIGHT": 0.172,
+    "YEAR_END_PEAK": 12.134,
+    "YEAR_END_WIDTH": 92.416,
+    "YEAR_END_RISE_WIDTH": 175.438,
+    "YEAR_END_FALL_WIDTH": 10.08
+  },
+  "fit": {
+    "score": 0.517
+  },
+  "warnings": [],
+  "summary": "Skylark is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around May and reaches its lowest point around September. The model indicates weak baseline presence, moderate spring carry-over, strong pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/skylark_consensus.json b/modelling/data/abingdon-birds/resident/skylark_consensus.json
new file mode 100644
index 0000000..4ab6404
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/skylark_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.517",
+  "INITIAL_Y": "0.118",
+  "GROWTH_RATE": "2.307",
+  "DECAY_RATE": "3.87",
+  "SUMMER_DECAY_BOOST": "4.264",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.47",
+  "PRE_SUMMER_DECAY_END": "6.975",
+  "PRE_SUMMER_DECAY_SHARPNESS": "10.571",
+  "SPRING_CARRYOVER_WEIGHT": "0.172",
+  "SPRING_CARRYOVER_END": "6.925",
+  "SPRING_CARRYOVER_SHARPNESS": "15.224",
+  "BASELINE": "0.049",
+  "WINTER_WEIGHT": "0.53",
+  "AUTUMN_WEIGHT": "0.028",
+  "WINTER_PEAK": "4.72",
+  "AUTUMN_PEAK": "10.175",
+  "AUTUMN_ONSET": "10.235",
+  "AUTUMN_GATE_SHARPNESS": "6.917",
+  "WINTER_WIDTH": "11.493",
+  "WINTER_RISE_WIDTH": "14.252",
+  "WINTER_FALL_WIDTH": "8.912",
+  "AUTUMN_WIDTH": "7.73",
+  "AUTUMN_RISE_WIDTH": "6.897",
+  "AUTUMN_FALL_WIDTH": "7.684",
+  "SUMMER_DIP": "0.126",
+  "SUMMER_LOW": "1.88",
+  "SUMMER_ONSET": "4.285",
+  "SUMMER_GATE_SHARPNESS": "4.215",
+  "SUMMER_DECAY_ONSET": "7.155",
+  "SUMMER_DECAY_GATE_SHARPNESS": "18.226",
+  "SUMMER_WIDTH": "23.698",
+  "SUMMER_RISE_WIDTH": "39.219",
+  "SUMMER_FALL_WIDTH": "11.265",
+  "SCALE": "1.079",
+  "YEAR_END_WEIGHT": "0.172",
+  "YEAR_END_PEAK": "12.134",
+  "YEAR_END_WIDTH": "92.416",
+  "YEAR_END_RISE_WIDTH": "175.438",
+  "YEAR_END_FALL_WIDTH": "10.08",
+  "SPECIES": "Skylark"
+}
diff --git a/modelling/data/abingdon-birds/resident/skylark_observed.csv b/modelling/data/abingdon-birds/resident/skylark_observed.csv
new file mode 100644
index 0000000..ca67979
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/skylark_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,10
+3,27
+4,34
+5,29
+6,28
+7,8
+8,1
+9,0
+10,5
+11,2
+12,1
diff --git a/modelling/data/abingdon-birds/resident/skylark_parameters.csv b/modelling/data/abingdon-birds/resident/skylark_parameters.csv
new file mode 100644
index 0000000..ec295c2
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/skylark_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 10:18:17,skylark_observed.csv,0.4482740029295543431776565509,0.146,3.727,3.336,7.34,0.331,6.41,12.966,0.158,6.82,8.75,0.002,0.618,0.019,3.67,10.82,9.12,6.871,5.048,6.641,3.456,5.632,10.598,0.666,0.078,1.11,3.96,2.353,6.85,21.689,4.465,5.139,3.791,0.819,0.325,12.027,75.350,140.677,10.023
+2026-05-21 10:18:17,skylark_observed.csv,0.8379439060241229541733412319,0.195,0.645,1.438,0.601,0.11,7.64,11.715,0.344,6.84,22.15,0.065,0.449,0.044,4.3,10.57,9.63,10.661,4.205,1.391,7.019,7.884,5.258,10.51,0.163,1.48,3.88,6.491,6.93,11.779,3.527,2.191,4.863,1.312,0.104,12.293,64.470,114.547,14.393
+2026-05-21 10:18:18,skylark_observed.csv,1.820264349766772135024512509,0.122,2.208,3.386,6.555,0.65,6.77,15.585,0.082,7.2,10.014,0.019,0.235,0.015,3.95,10.6,8.42,7.115,4.586,0.392,8.781,7.615,5.036,10.194,0.037,1.99,4.05,0.964,6.8,8.448,29.255,43.914,14.596,0.869,0.09,12.192,74.122,133.502,14.743
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diff --git a/modelling/data/abingdon-birds/resident/skylark_simulated.csv b/modelling/data/abingdon-birds/resident/skylark_simulated.csv
new file mode 100644
index 0000000..a5ce817
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/skylark_simulated.csv
@@ -0,0 +1,123 @@
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diff --git a/modelling/data/abingdon-birds/resident/skylark_synthesised.csv b/modelling/data/abingdon-birds/resident/skylark_synthesised.csv
new file mode 100644
index 0000000..cd62331
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/skylark_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
+1,0,0.1759874,9.53217779044412
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+7,8,0.1265396,6.85388820297182
+8,1,0.051130869999999995,2.7694513551543207
+9,0,0.0491696,2.663221168589463
+10,5,0.05888824,3.1896213788392984
+11,2,0.06731996,3.646316881581219
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diff --git a/modelling/data/abingdon-birds/resident/skylark_synthesised.png b/modelling/data/abingdon-birds/resident/skylark_synthesised.png
new file mode 100644
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diff --git a/modelling/data/abingdon-birds/resident/song_thrush_classification.json b/modelling/data/abingdon-birds/resident/song_thrush_classification.json
new file mode 100644
index 0000000..ecb7eaf
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/song_thrush_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Song Thrush",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "weak",
+    "detectability_peak_timing": "spring",
+    "detectability_trough_timing": "autumn",
+    "spring_carryover": "moderate",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "strong",
+    "pre_summer_retention": "moderate",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "weak_baseline_presence",
+      "spring_detectability_peak",
+      "autumn_detectability_trough",
+      "moderate_spring_carryover",
+      "moderate_summer_suppression",
+      "strong_summer_decay_acceleration",
+      "moderate_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "medium"
+  },
+  "derived_metrics": {
+    "target_peak_month": 3,
+    "target_peak_label": "March",
+    "target_trough_month": 9,
+    "target_trough_label": "September",
+    "target_peak_value": 0.7190289491373724,
+    "target_trough_value": 0.0,
+    "target_mean_value": 0.22259139258049532,
+    "target_amplitude": 0.7190289491373724,
+    "baseline_to_peak_ratio": 0.07371052314873378,
+    "autumn_to_winter_weight_ratio": 0.049523809523809526,
+    "year_end_to_winter_weight_ratio": 0.3295238095238095,
+    "decay_to_growth_ratio": 2.068205666316894,
+    "monthly_target": {
+      "January": 0.2062920580142298,
+      "February": 0.3810273166610272,
+      "March": 0.7190289491373724,
+      "April": 0.4783577911044195,
+      "May": 0.22854743717546538,
+      "June": 0.19750631503379687,
+      "July": 0.14652008139798656,
+      "August": 0.04825982543349456,
+      "September": 0.0,
+      "October": 0.0009465058999684891,
+      "November": 0.056255710220360175,
+      "December": 0.2083547208878229
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.55,
+    "GROWTH_RATE": 1.906,
+    "DECAY_RATE": 3.942,
+    "SUMMER_DECAY_BOOST": 5.001,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.408,
+    "PRE_SUMMER_DECAY_END": 6.97,
+    "PRE_SUMMER_DECAY_SHARPNESS": 9.769,
+    "SPRING_CARRYOVER_WEIGHT": 0.144,
+    "SPRING_CARRYOVER_END": 7.045,
+    "SPRING_CARRYOVER_SHARPNESS": 13.702,
+    "BASELINE": 0.053,
+    "WINTER_WEIGHT": 0.525,
+    "AUTUMN_WEIGHT": 0.026,
+    "WINTER_PEAK": 3.08,
+    "AUTUMN_PEAK": 10.985,
+    "AUTUMN_ONSET": 11.035,
+    "AUTUMN_GATE_SHARPNESS": 7.702,
+    "WINTER_WIDTH": 11.898,
+    "WINTER_RISE_WIDTH": 12.937,
+    "WINTER_FALL_WIDTH": 10.648,
+    "AUTUMN_WIDTH": 7.171,
+    "AUTUMN_RISE_WIDTH": 7.422,
+    "AUTUMN_FALL_WIDTH": 7.294,
+    "SUMMER_DIP": 0.094,
+    "SUMMER_LOW": 9.005,
+    "SUMMER_ONSET": 7.43,
+    "SUMMER_GATE_SHARPNESS": 4.14,
+    "SUMMER_DECAY_ONSET": 7.0,
+    "SUMMER_DECAY_GATE_SHARPNESS": 14.785,
+    "SUMMER_WIDTH": 24.964,
+    "SUMMER_RISE_WIDTH": 41.361,
+    "SUMMER_FALL_WIDTH": 8.609,
+    "SCALE": 1.098,
+    "YEAR_END_WEIGHT": 0.173,
+    "YEAR_END_PEAK": 12.142,
+    "YEAR_END_WIDTH": 82.164,
+    "YEAR_END_RISE_WIDTH": 152.424,
+    "YEAR_END_FALL_WIDTH": 10.38
+  },
+  "fit": {
+    "score": 0.239
+  },
+  "warnings": [],
+  "summary": "Song Thrush is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around March and reaches its lowest point around September. The model indicates weak baseline presence, moderate spring carry-over, moderate pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/song_thrush_consensus.json b/modelling/data/abingdon-birds/resident/song_thrush_consensus.json
new file mode 100644
index 0000000..40161ae
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/song_thrush_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.239",
+  "INITIAL_Y": "0.55",
+  "GROWTH_RATE": "1.906",
+  "DECAY_RATE": "3.942",
+  "SUMMER_DECAY_BOOST": "5.001",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.408",
+  "PRE_SUMMER_DECAY_END": "6.97",
+  "PRE_SUMMER_DECAY_SHARPNESS": "9.769",
+  "SPRING_CARRYOVER_WEIGHT": "0.144",
+  "SPRING_CARRYOVER_END": "7.045",
+  "SPRING_CARRYOVER_SHARPNESS": "13.702",
+  "BASELINE": "0.053",
+  "WINTER_WEIGHT": "0.525",
+  "AUTUMN_WEIGHT": "0.026",
+  "WINTER_PEAK": "3.08",
+  "AUTUMN_PEAK": "10.985",
+  "AUTUMN_ONSET": "11.035",
+  "AUTUMN_GATE_SHARPNESS": "7.702",
+  "WINTER_WIDTH": "11.898",
+  "WINTER_RISE_WIDTH": "12.937",
+  "WINTER_FALL_WIDTH": "10.648",
+  "AUTUMN_WIDTH": "7.171",
+  "AUTUMN_RISE_WIDTH": "7.422",
+  "AUTUMN_FALL_WIDTH": "7.294",
+  "SUMMER_DIP": "0.094",
+  "SUMMER_LOW": "9.005",
+  "SUMMER_ONSET": "7.43",
+  "SUMMER_GATE_SHARPNESS": "4.14",
+  "SUMMER_DECAY_ONSET": "7",
+  "SUMMER_DECAY_GATE_SHARPNESS": "14.785",
+  "SUMMER_WIDTH": "24.964",
+  "SUMMER_RISE_WIDTH": "41.361",
+  "SUMMER_FALL_WIDTH": "8.609",
+  "SCALE": "1.098",
+  "YEAR_END_WEIGHT": "0.173",
+  "YEAR_END_PEAK": "12.142",
+  "YEAR_END_WIDTH": "82.164",
+  "YEAR_END_RISE_WIDTH": "152.424",
+  "YEAR_END_FALL_WIDTH": "10.38",
+  "SPECIES": "Song Thrush"
+}
diff --git a/modelling/data/abingdon-birds/resident/song_thrush_observed.csv b/modelling/data/abingdon-birds/resident/song_thrush_observed.csv
new file mode 100644
index 0000000..db79ed3
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/song_thrush_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,36
+2,50
+3,63
+4,53
+5,48
+6,39
+7,12
+8,3
+9,2
+10,4
+11,17
+12,20
diff --git a/modelling/data/abingdon-birds/resident/song_thrush_parameters.csv b/modelling/data/abingdon-birds/resident/song_thrush_parameters.csv
new file mode 100644
index 0000000..d819eb9
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/song_thrush_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
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diff --git a/modelling/data/abingdon-birds/resident/song_thrush_synthesised.csv b/modelling/data/abingdon-birds/resident/song_thrush_synthesised.csv
new file mode 100644
index 0000000..bc978a9
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/song_thrush_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-birds/resident/song_thrush_synthesised.png b/modelling/data/abingdon-birds/resident/song_thrush_synthesised.png
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diff --git a/modelling/data/abingdon-birds/resident/woodpigeon_classification.json b/modelling/data/abingdon-birds/resident/woodpigeon_classification.json
new file mode 100644
index 0000000..7cc208e
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/woodpigeon_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Woodpigeon",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_spring_persistence_and_summer_suppression",
+    "baseline_presence": "strong",
+    "detectability_peak_timing": "winter",
+    "detectability_trough_timing": "autumn",
+    "spring_carryover": "strong",
+    "summer_suppression": "strong",
+    "summer_decay_acceleration": "strong",
+    "pre_summer_retention": "strong",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "strong_baseline_presence",
+      "winter_detectability_peak",
+      "autumn_detectability_trough",
+      "strong_spring_carryover",
+      "strong_summer_suppression",
+      "strong_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "low"
+  },
+  "derived_metrics": {
+    "target_peak_month": 2,
+    "target_peak_label": "February",
+    "target_trough_month": 10,
+    "target_trough_label": "October",
+    "target_peak_value": 1.2362391906257129,
+    "target_trough_value": 0.4839120350470476,
+    "target_mean_value": 0.8199376823763411,
+    "target_amplitude": 0.7523271555786653,
+    "baseline_to_peak_ratio": 0.5063744983550917,
+    "autumn_to_winter_weight_ratio": 0.07631578947368421,
+    "year_end_to_winter_weight_ratio": 0.48947368421052634,
+    "decay_to_growth_ratio": 1.6109537299338998,
+    "monthly_target": {
+      "January": 1.0818273004031713,
+      "February": 1.2362391906257129,
+      "March": 0.9979242261409191,
+      "April": 0.8707381185639018,
+      "May": 0.8620605109815165,
+      "June": 0.862000012031215,
+      "July": 0.861499631598903,
+      "August": 0.6259622270453793,
+      "September": 0.5492537731893515,
+      "October": 0.4839120350470476,
+      "November": 0.5898589374932284,
+      "December": 0.8179762253957469
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.969,
+    "GROWTH_RATE": 2.118,
+    "DECAY_RATE": 3.412,
+    "SUMMER_DECAY_BOOST": 4.049,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.536,
+    "PRE_SUMMER_DECAY_END": 6.92,
+    "PRE_SUMMER_DECAY_SHARPNESS": 8.544,
+    "SPRING_CARRYOVER_WEIGHT": 0.236,
+    "SPRING_CARRYOVER_END": 7.31,
+    "SPRING_CARRYOVER_SHARPNESS": 19.852,
+    "BASELINE": 0.626,
+    "WINTER_WEIGHT": 0.38,
+    "AUTUMN_WEIGHT": 0.029,
+    "WINTER_PEAK": 1.86,
+    "AUTUMN_PEAK": 10.895,
+    "AUTUMN_ONSET": 11.35,
+    "AUTUMN_GATE_SHARPNESS": 7.592,
+    "WINTER_WIDTH": 10.484,
+    "WINTER_RISE_WIDTH": 10.716,
+    "WINTER_FALL_WIDTH": 11.369,
+    "AUTUMN_WIDTH": 6.813,
+    "AUTUMN_RISE_WIDTH": 7.444,
+    "AUTUMN_FALL_WIDTH": 6.438,
+    "SUMMER_DIP": 0.167,
+    "SUMMER_LOW": 9.495,
+    "SUMMER_ONSET": 8.23,
+    "SUMMER_GATE_SHARPNESS": 4.702,
+    "SUMMER_DECAY_ONSET": 7.055,
+    "SUMMER_DECAY_GATE_SHARPNESS": 15.062,
+    "SUMMER_WIDTH": 24.865,
+    "SUMMER_RISE_WIDTH": 44.598,
+    "SUMMER_FALL_WIDTH": 9.201,
+    "SCALE": 1.248,
+    "YEAR_END_WEIGHT": 0.186,
+    "YEAR_END_PEAK": 12.145,
+    "YEAR_END_WIDTH": 77.628,
+    "YEAR_END_RISE_WIDTH": 145.893,
+    "YEAR_END_FALL_WIDTH": 9.146
+  },
+  "fit": {
+    "score": 0.497
+  },
+  "warnings": [],
+  "summary": "Woodpigeon is classified as resident with spring persistence and summer suppression. The fitted resident detectability target peaks around February and reaches its lowest point around October. The model indicates strong baseline presence, strong spring carry-over, strong pre-summer retention, strong summer suppression, and strong summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/woodpigeon_consensus.json b/modelling/data/abingdon-birds/resident/woodpigeon_consensus.json
new file mode 100644
index 0000000..b95f560
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/woodpigeon_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.497",
+  "INITIAL_Y": "0.969",
+  "GROWTH_RATE": "2.118",
+  "DECAY_RATE": "3.412",
+  "SUMMER_DECAY_BOOST": "4.049",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.536",
+  "PRE_SUMMER_DECAY_END": "6.92",
+  "PRE_SUMMER_DECAY_SHARPNESS": "8.544",
+  "SPRING_CARRYOVER_WEIGHT": "0.236",
+  "SPRING_CARRYOVER_END": "7.31",
+  "SPRING_CARRYOVER_SHARPNESS": "19.852",
+  "BASELINE": "0.626",
+  "WINTER_WEIGHT": "0.38",
+  "AUTUMN_WEIGHT": "0.029",
+  "WINTER_PEAK": "1.86",
+  "AUTUMN_PEAK": "10.895",
+  "AUTUMN_ONSET": "11.35",
+  "AUTUMN_GATE_SHARPNESS": "7.592",
+  "WINTER_WIDTH": "10.484",
+  "WINTER_RISE_WIDTH": "10.716",
+  "WINTER_FALL_WIDTH": "11.369",
+  "AUTUMN_WIDTH": "6.813",
+  "AUTUMN_RISE_WIDTH": "7.444",
+  "AUTUMN_FALL_WIDTH": "6.438",
+  "SUMMER_DIP": "0.167",
+  "SUMMER_LOW": "9.495",
+  "SUMMER_ONSET": "8.23",
+  "SUMMER_GATE_SHARPNESS": "4.702",
+  "SUMMER_DECAY_ONSET": "7.055",
+  "SUMMER_DECAY_GATE_SHARPNESS": "15.062",
+  "SUMMER_WIDTH": "24.865",
+  "SUMMER_RISE_WIDTH": "44.598",
+  "SUMMER_FALL_WIDTH": "9.201",
+  "SCALE": "1.248",
+  "YEAR_END_WEIGHT": "0.186",
+  "YEAR_END_PEAK": "12.145",
+  "YEAR_END_WIDTH": "77.628",
+  "YEAR_END_RISE_WIDTH": "145.893",
+  "YEAR_END_FALL_WIDTH": "9.146",
+  "SPECIES": "Woodpigeon"
+}
diff --git a/modelling/data/abingdon-birds/resident/woodpigeon_observed.csv b/modelling/data/abingdon-birds/resident/woodpigeon_observed.csv
new file mode 100644
index 0000000..ced5c94
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/woodpigeon_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,183
+2,152
+3,169
+4,159
+5,166
+6,139
+7,154
+8,138
+9,133
+10,128
+11,150
+12,169
diff --git a/modelling/data/abingdon-birds/resident/woodpigeon_parameters.csv b/modelling/data/abingdon-birds/resident/woodpigeon_parameters.csv
new file mode 100644
index 0000000..720b614
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/woodpigeon_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 10:21:28,woodpigeon_observed.csv,0.5975658386329551222288744973,0.801,0.501,0.21,1.134,0.876,7.62,10.212,0.041,6.72,17.036,0.718,0.327,0.047,11.94,11.61,11.49,4.992,12.166,5.284,19.049,6.002,9.212,2.793,0.119,10.25,8.77,2.737,7.56,7.786,11.142,7.539,14.744,1.433,0.148,12.085,113.465,218.199,8.731
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+2026-05-21 10:21:33,woodpigeon_observed.csv,0.7947934571072279713646759236,1.134,0.6,2.178,0.727,0.946,6.42,10.238,0.441,7.42,14.543,0.805,0.568,0.01,11.58,1.22,11.38,7.806,16.325,19.753,12.897,5.550,8.102,2.999,0.174,9.71,7.83,6.192,6.95,15.23,40.578,73.865,7.292,0.858,0.04,12.127,92.282,170.134,14.43
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+2026-05-21 10:21:34,woodpigeon_observed.csv,0.5974993116630777191728702042,1.21,0.571,5.974,3.921,0.25,7.18,11.15,0.367,7.13,27.56,0.492,0.075,0.043,1.94,11.49,11.42,3.412,17.830,18.042,17.617,10.456,9.023,11.89,0.081,9.67,8.62,5.153,7.06,23.28,16.512,13.782,19.242,1.612,0.076,12.082,79.598,148.32,10.875
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+2026-05-21 10:21:35,woodpigeon_observed.csv,2.379863741087307967111055966,0.907,1.764,5.886,2.724,0.346,7.36,15.142,0.411,6.97,20.249,0.88,0.474,0.023,2.2,11.77,11.36,9.745,10.410,12.351,8.468,8.606,9.299,7.913,0.112,9.78,8.91,3.025,6.86,17.95,37.116,71.357,2.876,0.801,0.208,12.002,59.801,114.854,4.748
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diff --git a/modelling/data/abingdon-birds/resident/woodpigeon_simulated.csv b/modelling/data/abingdon-birds/resident/woodpigeon_simulated.csv
new file mode 100644
index 0000000..1cbcd66
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diff --git a/modelling/data/abingdon-birds/resident/woodpigeon_synthesised.csv b/modelling/data/abingdon-birds/resident/woodpigeon_synthesised.csv
new file mode 100644
index 0000000..6295e1c
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/woodpigeon_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-birds/resident/woodpigeon_synthesised.png b/modelling/data/abingdon-birds/resident/woodpigeon_synthesised.png
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diff --git a/modelling/data/abingdon-birds/resident/wren_classification.json b/modelling/data/abingdon-birds/resident/wren_classification.json
new file mode 100644
index 0000000..6748a80
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/wren_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Wren",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "weak",
+    "detectability_peak_timing": "spring",
+    "detectability_trough_timing": "summer",
+    "spring_carryover": "strong",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "moderate",
+    "pre_summer_retention": "moderate",
+    "autumn_component": "minimal",
+    "year_end_component": "weak",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "weak_baseline_presence",
+      "spring_detectability_peak",
+      "summer_detectability_trough",
+      "strong_spring_carryover",
+      "moderate_summer_suppression",
+      "moderate_summer_decay_acceleration",
+      "moderate_pre_summer_retention",
+      "minimal_autumn_component",
+      "weak_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "medium"
+  },
+  "derived_metrics": {
+    "target_peak_month": 4,
+    "target_peak_label": "April",
+    "target_trough_month": 8,
+    "target_trough_label": "August",
+    "target_peak_value": 0.8375385729882336,
+    "target_trough_value": 0.0,
+    "target_mean_value": 0.28277359644625405,
+    "target_amplitude": 0.8375385729882336,
+    "baseline_to_peak_ratio": 0.04895296923903706,
+    "autumn_to_winter_weight_ratio": 0.025830258302583026,
+    "year_end_to_winter_weight_ratio": 0.23616236162361623,
+    "decay_to_growth_ratio": 1.4504901960784313,
+    "monthly_target": {
+      "January": 0.29615009693304295,
+      "February": 0.31465319794402963,
+      "March": 0.5434330352298322,
+      "April": 0.8375385729882336,
+      "May": 0.5509815533442022,
+      "June": 0.3222732197186637,
+      "July": 0.2834142634162588,
+      "August": 0.0,
+      "September": 0.0,
+      "October": 0.03265105252936425,
+      "November": 0.05374355068020236,
+      "December": 0.15844461457121906
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.308,
+    "GROWTH_RATE": 2.04,
+    "DECAY_RATE": 2.959,
+    "SUMMER_DECAY_BOOST": 3.892,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.417,
+    "PRE_SUMMER_DECAY_END": 7.185,
+    "PRE_SUMMER_DECAY_SHARPNESS": 8.976,
+    "SPRING_CARRYOVER_WEIGHT": 0.255,
+    "SPRING_CARRYOVER_END": 7.18,
+    "SPRING_CARRYOVER_SHARPNESS": 17.378,
+    "BASELINE": 0.041,
+    "WINTER_WEIGHT": 0.542,
+    "AUTUMN_WEIGHT": 0.014,
+    "WINTER_PEAK": 3.965,
+    "AUTUMN_PEAK": 10.705,
+    "AUTUMN_ONSET": 10.425,
+    "AUTUMN_GATE_SHARPNESS": 5.818,
+    "WINTER_WIDTH": 10.909,
+    "WINTER_RISE_WIDTH": 12.154,
+    "WINTER_FALL_WIDTH": 10.144,
+    "AUTUMN_WIDTH": 6.993,
+    "AUTUMN_RISE_WIDTH": 4.646,
+    "AUTUMN_FALL_WIDTH": 8.577,
+    "SUMMER_DIP": 0.158,
+    "SUMMER_LOW": 8.21,
+    "SUMMER_ONSET": 6.33,
+    "SUMMER_GATE_SHARPNESS": 3.716,
+    "SUMMER_DECAY_ONSET": 7.015,
+    "SUMMER_DECAY_GATE_SHARPNESS": 15.638,
+    "SUMMER_WIDTH": 25.057,
+    "SUMMER_RISE_WIDTH": 40.736,
+    "SUMMER_FALL_WIDTH": 12.426,
+    "SCALE": 1.009,
+    "YEAR_END_WEIGHT": 0.128,
+    "YEAR_END_PEAK": 12.098,
+    "YEAR_END_WIDTH": 103.605,
+    "YEAR_END_RISE_WIDTH": 198.472,
+    "YEAR_END_FALL_WIDTH": 9.866
+  },
+  "fit": {
+    "score": 0.208
+  },
+  "warnings": [],
+  "summary": "Wren is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around April and reaches its lowest point around August. The model indicates weak baseline presence, strong spring carry-over, moderate pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-birds/resident/wren_consensus.json b/modelling/data/abingdon-birds/resident/wren_consensus.json
new file mode 100644
index 0000000..b73fefe
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/wren_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.208",
+  "INITIAL_Y": "0.308",
+  "GROWTH_RATE": "2.04",
+  "DECAY_RATE": "2.959",
+  "SUMMER_DECAY_BOOST": "3.892",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.417",
+  "PRE_SUMMER_DECAY_END": "7.185",
+  "PRE_SUMMER_DECAY_SHARPNESS": "8.976",
+  "SPRING_CARRYOVER_WEIGHT": "0.255",
+  "SPRING_CARRYOVER_END": "7.18",
+  "SPRING_CARRYOVER_SHARPNESS": "17.378",
+  "BASELINE": "0.041",
+  "WINTER_WEIGHT": "0.542",
+  "AUTUMN_WEIGHT": "0.014",
+  "WINTER_PEAK": "3.965",
+  "AUTUMN_PEAK": "10.705",
+  "AUTUMN_ONSET": "10.425",
+  "AUTUMN_GATE_SHARPNESS": "5.818",
+  "WINTER_WIDTH": "10.909",
+  "WINTER_RISE_WIDTH": "12.154",
+  "WINTER_FALL_WIDTH": "10.144",
+  "AUTUMN_WIDTH": "6.993",
+  "AUTUMN_RISE_WIDTH": "4.646",
+  "AUTUMN_FALL_WIDTH": "8.577",
+  "SUMMER_DIP": "0.158",
+  "SUMMER_LOW": "8.21",
+  "SUMMER_ONSET": "6.33",
+  "SUMMER_GATE_SHARPNESS": "3.716",
+  "SUMMER_DECAY_ONSET": "7.015",
+  "SUMMER_DECAY_GATE_SHARPNESS": "15.638",
+  "SUMMER_WIDTH": "25.057",
+  "SUMMER_RISE_WIDTH": "40.736",
+  "SUMMER_FALL_WIDTH": "12.426",
+  "SCALE": "1.009",
+  "YEAR_END_WEIGHT": "0.128",
+  "YEAR_END_PEAK": "12.098",
+  "YEAR_END_WIDTH": "103.605",
+  "YEAR_END_RISE_WIDTH": "198.472",
+  "YEAR_END_FALL_WIDTH": "9.866",
+  "SPECIES": "Wren"
+}
diff --git a/modelling/data/abingdon-birds/resident/wren_observed.csv b/modelling/data/abingdon-birds/resident/wren_observed.csv
new file mode 100644
index 0000000..c231e0a
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/wren_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,21
+2,31
+3,52
+4,60
+5,60
+6,47
+7,11
+8,1
+9,3
+10,1
+11,12
+12,7
diff --git a/modelling/data/abingdon-birds/resident/wren_parameters.csv b/modelling/data/abingdon-birds/resident/wren_parameters.csv
new file mode 100644
index 0000000..9689a6f
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/wren_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 10:22:32,wren_observed.csv,0.4994717435874651750778764285,0.322,2.025,0.398,1.118,0.32,6.29,7.194,0.324,6.99,12.995,0.041,0.688,0.001,5.22,11.88,10.2,9.151,1.952,2.119,1.784,2.649,2.913,2.385,0.188,8.15,6.58,3.87,7.34,14.276,27.985,43.468,12.502,1.286,0.189,12.295,104.308,199.53,9.087
+2026-05-21 10:22:32,wren_observed.csv,1.329406115282253641748599180,0.224,1.496,2.648,7.792,0.527,7.68,10.993,0.437,7.58,23.979,0.086,0.279,0.007,2.9,11.81,9.55,5.555,11.846,11.334,12.358,5.904,2.568,9.24,0.18,8.12,6.29,5.335,6.8,15.4,41.238,72.738,9.739,1.787,0.012,12.282,66.188,121.77,10.606
+2026-05-21 10:22:32,wren_observed.csv,0.3296007190179055503048025422,0.466,3.86,4.78,2.49,0.327,7.27,9.139,0.163,6.64,9.089,0.049,0.443,0.034,3.62,11.95,9.5,9.05,14.106,13.781,14.432,7.892,8.537,7.246,0.208,6.75,5.58,5.206,6.96,7.878,28.182,54.476,1.888,0.902,0.336,12.245,88.144,166.365,9.922
+2026-05-21 10:22:33,wren_observed.csv,2.994510543439862355245415839,0.111,0.455,0.683,4.715,0.897,7.01,12.427,0.016,7.4,20.737,0.008,0.221,0.008,5.18,9.82,9.69,7.395,15.137,13.118,17.156,5.550,4.984,6.116,0.151,6.76,6.81,3.31,7.37,12.742,3.978,1.311,6.644,1.602,0.333,12.141,65.891,122.068,9.714
+2026-05-21 10:22:33,wren_observed.csv,0.7417243039469365818590452148,0.229,0.676,4.068,6.118,0.2,7.33,8.043,0.299,7.56,26.068,0.062,0.098,0.001,4.85,9.6,9.35,11.872,3.892,0.783,7.002,12.728,13.475,11.98,0.042,7.93,7.06,2.608,7.41,13.856,10.963,7.18,14.746,1.284,0.227,12.031,105.007,198.847,11.167
+2026-05-21 10:22:33,wren_observed.csv,0.8723159854493026426416638287,0.156,3.647,3.75,4.791,0.685,7.13,5.373,0.17,6.93,20.448,0.046,0.159,0.026,3.04,9.91,10.87,7.649,14.066,14.621,13.511,5.670,7.094,4.245,0.062,9.17,6.02,2.986,6.85,17.954,30.110,50.892,9.328,1.225,0.317,12.11,116.960,225.303,8.618
+2026-05-21 10:22:34,wren_observed.csv,0.2899780804436190212280736095,0.255,3.314,5.497,0.422,0.352,6.93,15.48,0.142,7.41,18.65,0.004,0.638,0.005,3.36,10.41,11.15,11.394,3.680,3.444,3.916,7.129,5.664,8.594,0.194,9.46,5.84,6.9,6.98,16.552,41.116,68.04,14.192,1.167,0.09,12.09,94.022,174.898,13.145
+2026-05-21 10:22:34,wren_observed.csv,1.087187808972225945885587549,0.452,0.862,3.912,0.822,0.783,6.64,12.165,0.197,7.14,18.679,0.01,0.393,0.007,4.99,9.66,10.11,4.507,12.376,10.287,14.466,7.912,7.564,8.259,0.023,8.03,6.91,1.719,6.8,8.708,37.282,60.103,14.462,1.171,0.311,12.283,112.273,208.704,15.842
+2026-05-21 10:22:34,wren_observed.csv,0.9469216719317535282602297863,0.573,3.089,2.483,5.061,0.663,6.77,3.487,0.055,7.19,10.583,0.019,0.01,0.007,3.9,11.94,10.91,6.455,2.720,5.028,0.411,6.038,3.99,8.086,0.199,9.17,6.37,1.001,7.58,19.679,7.448,1.968,12.928,0.974,0.114,12.094,48.830,84.46,13.2
+2026-05-21 10:22:35,wren_observed.csv,1.264238181158137492517072426,0.521,1.566,3.15,3.999,0.356,6.26,10.353,0.164,6.54,16.863,0.068,0.296,0.037,4.05,9.98,9.83,7.979,2.016,2.385,1.646,4.651,8.565,0.737,0.103,8.17,7.02,1.088,7.3,9.162,24.160,36.431,11.889,1.134,0.219,12.205,78.812,142.147,15.478
+2026-05-21 10:22:35,wren_observed.csv,0.2512509294902385739453647266,0.118,3.404,2.739,4.892,0.574,7.17,14.919,0.232,7.37,27.47,0.004,0.696,0.011,3.45,9.61,9.41,11.291,5.846,3.036,8.657,10.132,10.819,9.444,0.022,8.62,7.1,3.099,7.07,6.551,13.666,23.6,3.732,0.801,0.038,12.271,115.894,217.918,13.869
+2026-05-21 10:22:35,wren_observed.csv,0.5796994166779931304198897637,0.305,1.475,5.515,2.39,0.424,6.93,13.482,0.024,6.59,14.078,0.038,0.412,0.049,3.31,11.22,10.2,5.784,15.834,18.334,13.335,4.384,4.887,3.88,0.154,7.32,7.26,4.85,6.65,12.127,31.784,62.438,1.129,1.427,0.281,12.196,110.648,216.775,4.521
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diff --git a/modelling/data/abingdon-birds/resident/wren_simulated.csv b/modelling/data/abingdon-birds/resident/wren_simulated.csv
new file mode 100644
index 0000000..6a7f5f7
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/wren_simulated.csv
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diff --git a/modelling/data/abingdon-birds/resident/wren_synthesised.csv b/modelling/data/abingdon-birds/resident/wren_synthesised.csv
new file mode 100644
index 0000000..20d8bf4
--- /dev/null
+++ b/modelling/data/abingdon-birds/resident/wren_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
+1,21,0.30323259999999996,27.760547213422353
+2,31,0.3365425,30.81002491345981
+3,52,0.5608716,51.34706008677081
+4,60,0.7522345,68.86608284470456
+5,60,0.5714796,52.31820858742669
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diff --git a/modelling/data/abingdon-birds/seasonal/chiffchaff_classification.json b/modelling/data/abingdon-birds/seasonal/chiffchaff_classification.json
new file mode 100644
index 0000000..2c1ee47
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/chiffchaff_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Chiffchaff",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "extended_spring_seasonal_presence",
+    "timing": "spring",
+    "season_width": "broad",
+    "window_shape": "sharp",
+    "post_peak_decline": "moderate",
+    "offseason_suppression": "strong",
+    "peak_alignment": "early",
+    "traits": [
+      "spring_peak",
+      "broad_season",
+      "sharp_seasonal_window",
+      "moderate_post_peak_decline",
+      "strong_offseason_suppression",
+      "early_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 3.03,
+    "season_end_month": 7.35,
+    "forcing_peak_month": 4.255,
+    "season_width_months": 4.32,
+    "season_midpoint_month": 5.19,
+    "season_start_label": "March",
+    "season_end_label": "July",
+    "forcing_peak_label": "April"
+  },
+  "parameter_evidence": {
+    "GROWTH": 2.208,
+    "DECAY": 1.953,
+    "OOS_DECAY": 4.463,
+    "POST_PEAK_DECAY": 2.812,
+    "POST_PEAK_SHARPNESS": 6.114,
+    "SEASON_START": 3.03,
+    "SEASON_END": 7.35,
+    "SHARPNESS": 8.426,
+    "FORCING_PEAK": 4.255
+  },
+  "fit": {
+    "score": 0.024
+  },
+  "warnings": [],
+  "summary": "Chiffchaff is classified as extended spring seasonal presence. The fitted seasonal window runs from about March to July, with a spring peak around April. The season is broad, with a sharp active window, moderate post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-birds/seasonal/chiffchaff_consensus.json b/modelling/data/abingdon-birds/seasonal/chiffchaff_consensus.json
new file mode 100644
index 0000000..095b76b
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/chiffchaff_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "2.208",
+  "DECAY": "1.953",
+  "OOS_DECAY": "4.463",
+  "POST_PEAK_DECAY": "2.812",
+  "POST_PEAK_SHARPNESS": "6.114",
+  "SEASON_START": "3.03",
+  "SEASON_END": "7.35",
+  "SHARPNESS": "8.426",
+  "FORCING_PEAK": "4.255",
+  "SCORE": "0.024",
+  "SPECIES": "Chiffchaff"
+}
diff --git a/modelling/data/abingdon-birds/seasonal/chiffchaff_observed.csv b/modelling/data/abingdon-birds/seasonal/chiffchaff_observed.csv
new file mode 100644
index 0000000..83bbb21
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/chiffchaff_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,19
+4,40
+5,33
+6,22
+7,5
+8,0
+9,0
+10,0
+11,0
+12,0
diff --git a/modelling/data/abingdon-birds/seasonal/chiffchaff_parameters.csv b/modelling/data/abingdon-birds/seasonal/chiffchaff_parameters.csv
new file mode 100644
index 0000000..d5847ee
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/chiffchaff_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 10:57:31,chiffchaff_observed.csv,1.032,2.699,7.31,2.22,9.087,2.25,7.84,1.577,3.95,0.03385809753283383335447200000,
+2026-05-21 10:57:32,chiffchaff_observed.csv,2.215,2.723,6.259,7.16,9.001,3.65,7.93,14.458,4.65,0.02295656020951299355392142526,
+2026-05-21 10:57:32,chiffchaff_observed.csv,3.025,0.647,4.858,1.831,7.669,3.61,6.05,2.629,4.97,0.08098176597440788887845161734,
+2026-05-21 10:57:32,chiffchaff_observed.csv,4.096,0.973,2.581,0.217,4.17,2.03,6.57,14.412,4.11,0.05614690989947858398737887211,
+2026-05-21 10:57:32,chiffchaff_observed.csv,4.682,2.578,7.186,3.711,7.655,2.02,7.69,7.864,4.18,0.05843695772567863610823601173,
+2026-05-21 10:57:33,chiffchaff_observed.csv,1.117,2.385,4.371,1.907,2.125,3.53,7.26,3.773,3.98,0.006817748618482624686244275538,
+2026-05-21 10:57:33,chiffchaff_observed.csv,3.812,2.129,7.383,3.759,7.622,3.4,6.78,6.796,5.23,0.05819374516244354887944705558,
+2026-05-21 10:57:33,chiffchaff_observed.csv,3.192,2.356,3.163,5.215,9.292,2.53,7.56,6.051,4.37,0.03845328889826306474780940456,
+2026-05-21 10:57:33,chiffchaff_observed.csv,2.52,2.949,1.243,6.326,6.85,3.69,6.1,10.629,3.79,0.07207488065805344108183392221,
+2026-05-21 10:57:34,chiffchaff_observed.csv,2.132,0.575,3.136,6.855,4.189,3.46,6.37,6.771,4.47,0.05890053910004847202558832203,
+2026-05-21 10:57:34,chiffchaff_observed.csv,2.815,2.145,6.645,1.005,8.289,2.67,7.55,4.886,3.83,0.02547782566195796096773682578,
+2026-05-21 10:57:34,chiffchaff_observed.csv,1.276,2.237,1.267,0.367,9.312,3.15,7.11,6.278,4.21,0.003607248381647852799233678987,
+2026-05-21 10:57:35,chiffchaff_observed.csv,1.655,1.688,4.383,1.401,4.177,2.8,6.32,14.787,3.86,0.03575219031688566198842997881,
+2026-05-21 10:57:35,chiffchaff_observed.csv,1.61,1.806,3.864,0.678,1.136,3.07,6.38,7.11,4.64,0.04650283453857763542157541745,
+2026-05-21 10:57:35,chiffchaff_observed.csv,3.466,2.501,1.235,7.28,2.576,2.89,7.41,3.169,4.53,0.03412328038040762814809418697,
+2026-05-21 10:57:35,chiffchaff_observed.csv,4.891,2.635,2.706,7.893,2.417,3.77,7.18,12.324,5.42,0.06312951814421471175067585103,
+2026-05-21 10:57:36,chiffchaff_observed.csv,1.464,1.399,4.805,6.44,6.438,2.66,6.36,12.201,2.81,0.1686190293878691989576826173,
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diff --git a/modelling/data/abingdon-birds/seasonal/chiffchaff_simulated.csv b/modelling/data/abingdon-birds/seasonal/chiffchaff_simulated.csv
new file mode 100644
index 0000000..4315430
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/chiffchaff_simulated.csv
@@ -0,0 +1,123 @@
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diff --git a/modelling/data/abingdon-birds/seasonal/chiffchaff_synthesised.csv b/modelling/data/abingdon-birds/seasonal/chiffchaff_synthesised.csv
new file mode 100644
index 0000000..960d89c
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/chiffchaff_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
+1,0,1.207782638e-06,5.201434600334589e-05
+2,0,0.00678290479,0.2921124592741597
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+8,0,0.000410429269,0.017675539733720137
+9,0,8.91161463e-08,3.837874400818298e-06
+10,0,1.1652059970000001e-11,5.018074112531797e-10
+11,0,1.485436197e-15,6.397176932812664e-14
+12,0,5.062361810000001e-19,2.180155853337117e-17
diff --git a/modelling/data/abingdon-birds/seasonal/chiffchaff_synthesised.png b/modelling/data/abingdon-birds/seasonal/chiffchaff_synthesised.png
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diff --git a/modelling/data/abingdon-birds/seasonal/cuckoo_classification.json b/modelling/data/abingdon-birds/seasonal/cuckoo_classification.json
new file mode 100644
index 0000000..ccdbe9a
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/cuckoo_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Cuckoo",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "narrow_spring_seasonal_presence",
+    "timing": "spring",
+    "season_width": "narrow",
+    "window_shape": "sharp",
+    "post_peak_decline": "moderate",
+    "offseason_suppression": "strong",
+    "peak_alignment": "central",
+    "traits": [
+      "spring_peak",
+      "narrow_season",
+      "sharp_seasonal_window",
+      "moderate_post_peak_decline",
+      "strong_offseason_suppression",
+      "central_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 4.365,
+    "season_end_month": 6.195,
+    "forcing_peak_month": 5.49,
+    "season_width_months": 1.83,
+    "season_midpoint_month": 5.28,
+    "season_start_label": "April",
+    "season_end_label": "June",
+    "forcing_peak_label": "May"
+  },
+  "parameter_evidence": {
+    "GROWTH": 2.656,
+    "DECAY": 1.726,
+    "OOS_DECAY": 4.778,
+    "POST_PEAK_DECAY": 3.406,
+    "POST_PEAK_SHARPNESS": 6.168,
+    "SEASON_START": 4.365,
+    "SEASON_END": 6.195,
+    "SHARPNESS": 9.266,
+    "FORCING_PEAK": 5.49
+  },
+  "fit": {
+    "score": 0.007
+  },
+  "warnings": [],
+  "summary": "Cuckoo is classified as narrow spring seasonal presence. The fitted seasonal window runs from about April to June, with a spring peak around May. The season is narrow, with a sharp active window, moderate post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-birds/seasonal/cuckoo_consensus.json b/modelling/data/abingdon-birds/seasonal/cuckoo_consensus.json
new file mode 100644
index 0000000..61c30df
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/cuckoo_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "2.656",
+  "DECAY": "1.726",
+  "OOS_DECAY": "4.778",
+  "POST_PEAK_DECAY": "3.406",
+  "POST_PEAK_SHARPNESS": "6.168",
+  "SEASON_START": "4.365",
+  "SEASON_END": "6.195",
+  "SHARPNESS": "9.266",
+  "FORCING_PEAK": "5.49",
+  "SCORE": "0.007",
+  "SPECIES": "Cuckoo"
+}
diff --git a/modelling/data/abingdon-birds/seasonal/cuckoo_observed.csv b/modelling/data/abingdon-birds/seasonal/cuckoo_observed.csv
new file mode 100644
index 0000000..0fbdf67
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/cuckoo_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,2
+5,8
+6,4
+7,0
+8,0
+9,0
+10,0
+11,0
+12,0
diff --git a/modelling/data/abingdon-birds/seasonal/cuckoo_parameters.csv b/modelling/data/abingdon-birds/seasonal/cuckoo_parameters.csv
new file mode 100644
index 0000000..7ad6e87
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/cuckoo_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 10:58:27,cuckoo_observed.csv,1.585,0.619,2.069,7.342,7.163,4.31,6.85,2.19,4.42,0.04363980455272458516761693750,
+2026-05-21 10:58:27,cuckoo_observed.csv,1.622,2.133,1.04,6.894,9.568,4.47,5.05,3.417,4.66,0.06084315661176962565335716032,
+2026-05-21 10:58:27,cuckoo_observed.csv,1.405,1.331,3.763,2.403,6.313,3.27,5.71,13.686,4.71,0.1155572234361771144482400112,
+2026-05-21 10:58:28,cuckoo_observed.csv,3.505,1.58,7.203,3.658,3.712,4.12,6.69,12.227,6.03,0.007614663615826230535339750775,
+2026-05-21 10:58:28,cuckoo_observed.csv,4.893,2.9,6.692,7.626,3.315,4.07,6.55,4.461,4.7,0.01792238174241382970608321208,
+2026-05-21 10:58:28,cuckoo_observed.csv,1.435,2.997,5.03,3.381,8.002,3.5,5.88,10.399,5.46,0.06440912897310411383521905554,
+2026-05-21 10:58:28,cuckoo_observed.csv,3.795,1.611,5.409,2.913,3.277,4.17,5.17,7.063,4.24,0.1084631267893883477726466157,
+2026-05-21 10:58:29,cuckoo_observed.csv,1.421,1.294,2.529,7.47,3.847,3.19,5.7,13.467,3.76,0.1764621565340262254419055464,
+2026-05-21 10:58:29,cuckoo_observed.csv,2.752,0.892,2.216,0.167,7.977,3.14,5.71,6.142,4.65,0.06029344710348522204417839280,
+2026-05-21 10:58:29,cuckoo_observed.csv,2.762,1.442,1.321,1.336,3.526,4.15,6.78,11.816,4.99,0.02707697059362055255883491942,
+2026-05-21 10:58:30,cuckoo_observed.csv,1.72,1.357,6.193,3.077,1.67,3.23,5.74,4.287,5.17,0.1214120616751575014720770484,
+2026-05-21 10:58:30,cuckoo_observed.csv,4.7,1.058,1.072,0.855,7.403,3.0,5.73,3.774,5.72,0.05272383997462937006160517682,
+2026-05-21 10:58:30,cuckoo_observed.csv,2.731,1.383,3.953,6.965,7.679,4.79,6.55,7.849,6.15,0.06272668712093068334401189924,
+2026-05-21 10:58:30,cuckoo_observed.csv,3.552,0.7,4.514,7.658,6.417,4.82,5.02,3.893,4.91,0.05346322916755396600720019547,
+2026-05-21 10:58:31,cuckoo_observed.csv,2.082,0.631,1.484,4.665,7.388,3.02,6.67,2.851,4.82,0.05187270361946064227620525718,
+2026-05-21 10:58:31,cuckoo_observed.csv,3.309,1.375,1.824,7.092,4.03,4.19,5.31,3.157,4.94,0.07794872547924434150545583774,
+2026-05-21 10:58:31,cuckoo_observed.csv,4.621,1.304,6.348,7.837,5.576,4.37,5.6,2.705,5.35,0.01983909672709067988085650988,
+2026-05-21 10:58:31,cuckoo_observed.csv,2.956,2.458,1.321,5.82,9.275,4.05,6.64,3.22,5.48,0.02582291340413134344144387791,
+2026-05-21 10:58:32,cuckoo_observed.csv,3.709,2.844,6.885,0.238,1.256,4.0,5.86,12.24,4.75,0.04899098699554475182703780652,
+2026-05-21 10:58:32,cuckoo_observed.csv,4.361,2.046,6.062,1.677,4.911,3.82,5.7,4.389,3.98,0.1140070944407177229402903383,
+2026-05-21 10:58:32,cuckoo_observed.csv,1.084,1.629,6.915,2.062,1.217,4.39,6.79,5.13,5.97,0.007655053209605231555932554108,
+2026-05-21 10:58:33,cuckoo_observed.csv,2.669,1.302,7.487,3.937,1.331,4.99,5.16,2.971,5.15,0.02167872829254662696734895602,
+2026-05-21 10:58:33,cuckoo_observed.csv,3.956,0.791,1.372,4.094,3.135,3.29,6.96,12.527,5.32,0.04001428693330842191378985280,
+2026-05-21 10:58:33,cuckoo_observed.csv,4.197,1.024,5.522,7.168,7.647,4.95,6.14,1.079,4.95,0.07980028516386635665109945371,
+2026-05-21 10:58:33,cuckoo_observed.csv,3.656,2.204,2.347,0.723,6.898,3.02,6.73,12.708,3.63,0.1163336648942554448119991123,
+2026-05-21 10:58:34,cuckoo_observed.csv,4.881,2.512,7.934,7.695,9.579,4.23,5.08,12.111,4.99,0.1172097479129608462215876802,
+2026-05-21 10:58:34,cuckoo_observed.csv,3.195,1.175,1.246,5.316,6.278,5.0,5.83,3.484,5.77,0.006369844676382784535830119865,
+2026-05-21 10:58:34,cuckoo_observed.csv,3.845,1.734,5.788,2.989,5.469,4.57,6.78,10.615,5.92,0.03780878917176748285220076947,
+2026-05-21 10:58:34,cuckoo_observed.csv,2.063,2.706,2.766,3.438,8.141,4.45,6.3,8.623,4.73,0.007095748166925213673869770324,
+2026-05-21 10:58:35,cuckoo_observed.csv,2.197,2.765,3.001,1.155,4.935,3.88,6.43,2.099,4.81,0.05763972647721364122011078083,
+2026-05-21 10:58:35,cuckoo_observed.csv,3.525,1.844,5.232,6.448,9.96,3.62,6.51,2.738,6.23,0.02777936207157731837194379893,
+2026-05-21 10:58:35,cuckoo_observed.csv,2.956,2.368,7.752,0.737,9.086,4.69,5.89,9.037,5.82,0.02112609983226269029381698542,
+2026-05-21 10:58:36,cuckoo_observed.csv,1.559,2.579,5.681,6.549,5.913,4.4,5.25,2.689,5.16,0.05754787199854699810202105199,
+2026-05-21 10:58:36,cuckoo_observed.csv,1.482,1.8,7.848,5.913,5.491,3.99,6.63,9.286,5.77,0.004362392663527112409861454727,
+2026-05-21 10:58:36,cuckoo_observed.csv,1.29,1.936,3.857,2.141,8.771,4.84,6.61,12.869,5.49,0.05810362117885279370798985063,
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diff --git a/modelling/data/abingdon-birds/seasonal/cuckoo_simulated.csv b/modelling/data/abingdon-birds/seasonal/cuckoo_simulated.csv
new file mode 100644
index 0000000..366dcac
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/cuckoo_simulated.csv
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diff --git a/modelling/data/abingdon-birds/seasonal/cuckoo_synthesised.csv b/modelling/data/abingdon-birds/seasonal/cuckoo_synthesised.csv
new file mode 100644
index 0000000..8542603
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/cuckoo_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
+1,0,1.065714972e-12,7.448999572725403e-12
+2,0,2.03970639e-08,1.4256881461542677e-07
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+9,0,3.131860917e-12,2.189068488808693e-11
+10,0,2.24161831e-16,1.5668179834301363e-15
+11,0,1.426603529e-20,9.971492713503467e-20
+12,0,8.60804487e-25,6.016742210001634e-24
diff --git a/modelling/data/abingdon-birds/seasonal/cuckoo_synthesised.png b/modelling/data/abingdon-birds/seasonal/cuckoo_synthesised.png
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diff --git a/modelling/data/abingdon-birds/seasonal/garden_warbler_classification.json b/modelling/data/abingdon-birds/seasonal/garden_warbler_classification.json
new file mode 100644
index 0000000..0b45169
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/garden_warbler_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Garden Warbler",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "extended_early_spring_seasonal_presence",
+    "timing": "early_spring",
+    "season_width": "broad",
+    "window_shape": "sharp",
+    "post_peak_decline": "moderate",
+    "offseason_suppression": "strong",
+    "peak_alignment": "early",
+    "traits": [
+      "early_spring_peak",
+      "broad_season",
+      "sharp_seasonal_window",
+      "moderate_post_peak_decline",
+      "strong_offseason_suppression",
+      "early_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 2.035,
+    "season_end_month": 6.495,
+    "forcing_peak_month": 3.12,
+    "season_width_months": 4.46,
+    "season_midpoint_month": 4.265,
+    "season_start_label": "February",
+    "season_end_label": "June",
+    "forcing_peak_label": "March"
+  },
+  "parameter_evidence": {
+    "GROWTH": 2.644,
+    "DECAY": 1.657,
+    "OOS_DECAY": 4.19,
+    "POST_PEAK_DECAY": 2.56,
+    "POST_PEAK_SHARPNESS": 4.474,
+    "SEASON_START": 2.035,
+    "SEASON_END": 6.495,
+    "SHARPNESS": 8.569,
+    "FORCING_PEAK": 3.12
+  },
+  "fit": {
+    "score": 0.065
+  },
+  "warnings": [],
+  "summary": "Garden Warbler is classified as extended early spring seasonal presence. The fitted seasonal window runs from about February to June, with a early spring peak around March. The season is broad, with a sharp active window, moderate post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-birds/seasonal/garden_warbler_consensus.json b/modelling/data/abingdon-birds/seasonal/garden_warbler_consensus.json
new file mode 100644
index 0000000..caff6c3
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/garden_warbler_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "2.644",
+  "DECAY": "1.657",
+  "OOS_DECAY": "4.19",
+  "POST_PEAK_DECAY": "2.56",
+  "POST_PEAK_SHARPNESS": "4.474",
+  "SEASON_START": "2.035",
+  "SEASON_END": "6.495",
+  "SHARPNESS": "8.569",
+  "FORCING_PEAK": "3.12",
+  "SCORE": "0.065",
+  "SPECIES": "Garden Warbler"
+}
diff --git a/modelling/data/abingdon-birds/seasonal/garden_warbler_observed.csv b/modelling/data/abingdon-birds/seasonal/garden_warbler_observed.csv
new file mode 100644
index 0000000..174ffe5
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/garden_warbler_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,2
+3,4
+4,2
+5,4
+6,2
+7,0
+8,0
+9,0
+10,0
+11,0
+12,0
diff --git a/modelling/data/abingdon-birds/seasonal/garden_warbler_parameters.csv b/modelling/data/abingdon-birds/seasonal/garden_warbler_parameters.csv
new file mode 100644
index 0000000..23066aa
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/garden_warbler_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 10:59:22,garden_warbler_observed.csv,2.535,1.93,3.762,5.719,5.429,2.68,5.47,5.942,4.48,0.1335959565427330942126103353,
+2026-05-21 10:59:23,garden_warbler_observed.csv,1.682,0.687,3.795,4.382,1.885,1.7,5.96,10.334,3.4,0.08888862848100635354485194385,
+2026-05-21 10:59:23,garden_warbler_observed.csv,4.855,1.485,6.165,1.461,7.109,2.77,5.68,7.046,4.08,0.1514288879851819652449385080,
+2026-05-21 10:59:23,garden_warbler_observed.csv,1.77,0.675,5.52,0.52,3.535,1.82,6.37,10.73,2.79,0.02702369230815285283417664992,
+2026-05-21 10:59:24,garden_warbler_observed.csv,4.746,1.847,4.893,3.729,9.709,1.89,6.64,13.158,2.65,0.06866536681981546762517870619,
+2026-05-21 10:59:24,garden_warbler_observed.csv,1.393,1.154,4.078,0.261,8.639,1.81,6.17,3.102,2.83,0.05815315401829456349311499374,
+2026-05-21 10:59:24,garden_warbler_observed.csv,3.266,0.825,6.114,1.724,5.478,2.34,5.57,8.674,4.22,0.1203268673730827653708428746,
+2026-05-21 10:59:24,garden_warbler_observed.csv,3.76,0.528,1.993,2.65,6.484,2.68,5.06,7.014,2.95,0.1291841359842488352958544255,
+2026-05-21 10:59:25,garden_warbler_observed.csv,2.143,1.132,2.717,7.527,2.576,2.29,5.99,6.161,2.75,0.1017946219964638349651105652,
+2026-05-21 10:59:25,garden_warbler_observed.csv,4.754,0.938,2.978,4.852,1.642,2.26,6.16,13.259,2.57,0.06127721839467650793394134195,
+2026-05-21 10:59:25,garden_warbler_observed.csv,4.615,2.138,4.395,6.982,6.749,1.78,5.68,11.114,2.97,0.1110089652541419399015531774,
+2026-05-21 10:59:25,garden_warbler_observed.csv,2.966,2.046,3.749,6.296,8.272,2.25,6.51,14.07,4.36,0.07504090007964779995712301447,
+2026-05-21 10:59:26,garden_warbler_observed.csv,4.526,1.667,1.728,5.916,7.756,2.39,5.28,12.857,3.78,0.1485736368378704842372068634,
+2026-05-21 10:59:26,garden_warbler_observed.csv,3.497,2.087,3.336,4.706,6.863,2.67,5.58,8.885,4.27,0.1287819553151379923463456735,
+2026-05-21 10:59:26,garden_warbler_observed.csv,4.9,2.128,7.972,3.767,7.58,1.85,5.64,13.711,3.45,0.09652043268073530889107210695,
+2026-05-21 10:59:27,garden_warbler_observed.csv,3.865,1.842,3.19,7.283,9.052,2.63,5.38,7.19,4.08,0.1527155000078831542609524726,
+2026-05-21 10:59:27,garden_warbler_observed.csv,4.901,1.947,3.664,4.758,3.558,1.47,6.63,6.879,2.87,0.09919896241624818152206062098,
+2026-05-21 10:59:27,garden_warbler_observed.csv,2.035,1.828,3.878,1.194,6.512,1.01,5.9,5.163,2.17,0.1494778851870065931247884692,
+2026-05-21 10:59:27,garden_warbler_observed.csv,4.928,1.39,7.554,6.45,1.785,2.48,5.37,5.116,3.87,0.1189389222530577805160135068,
+2026-05-21 10:59:28,garden_warbler_observed.csv,2.897,1.846,3.274,0.097,6.888,2.3,5.42,9.182,3.11,0.1048746563677114200557719502,
+2026-05-21 10:59:28,garden_warbler_observed.csv,2.008,2.034,4.542,4.241,9.89,1.94,5.55,10.852,2.97,0.1011467582674902695072985609,
+2026-05-21 10:59:28,garden_warbler_observed.csv,2.33,2.236,6.897,4.311,2.233,2.6,5.6,12.789,3.64,0.1016247377650835835582720053,
+2026-05-21 10:59:28,garden_warbler_observed.csv,2.609,1.943,3.932,3.217,9.376,2.05,5.61,8.733,3.95,0.1170385803336098091216081692,
+2026-05-21 10:59:29,garden_warbler_observed.csv,2.201,1.841,5.406,6.567,9.829,2.29,6.75,7.227,4.18,0.08951105788550903050601752148,
+2026-05-21 10:59:29,garden_warbler_observed.csv,1.835,2.332,1.971,5.156,3.552,1.5,5.14,1.731,2.83,0.1413956487494057463853525775,
+2026-05-21 10:59:29,garden_warbler_observed.csv,1.795,1.759,7.153,0.983,7.814,1.38,5.43,12.015,2.48,0.1240264560176866566692666153,
+2026-05-21 10:59:30,garden_warbler_observed.csv,1.078,2.902,1.508,7.926,4.541,1.05,5.03,1.161,2.04,0.2228348761232732174486436666,
+2026-05-21 10:59:30,garden_warbler_observed.csv,4.213,1.905,3.671,2.77,4.266,1.29,5.57,5.122,2.6,0.1559034147523473218357544984,
+2026-05-21 10:59:30,garden_warbler_observed.csv,3.101,1.062,2.562,6.995,8.215,1.8,6.5,7.961,2.52,0.1243452024587264967511581108,
+2026-05-21 10:59:30,garden_warbler_observed.csv,4.809,2.684,7.707,0.961,9.15,2.17,5.44,6.955,3.91,0.1174391875346762830471146748,
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diff --git a/modelling/data/abingdon-birds/seasonal/garden_warbler_simulated.csv b/modelling/data/abingdon-birds/seasonal/garden_warbler_simulated.csv
new file mode 100644
index 0000000..8131f49
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/garden_warbler_simulated.csv
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diff --git a/modelling/data/abingdon-birds/seasonal/garden_warbler_synthesised.csv b/modelling/data/abingdon-birds/seasonal/garden_warbler_synthesised.csv
new file mode 100644
index 0000000..f15bce0
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/garden_warbler_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-birds/seasonal/garden_warbler_synthesised.png b/modelling/data/abingdon-birds/seasonal/garden_warbler_synthesised.png
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diff --git a/modelling/data/abingdon-birds/seasonal/reed_warbler_classification.json b/modelling/data/abingdon-birds/seasonal/reed_warbler_classification.json
new file mode 100644
index 0000000..43367f5
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/reed_warbler_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Reed Warbler",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "moderate_spring_seasonal_presence",
+    "timing": "spring",
+    "season_width": "moderate",
+    "window_shape": "moderate",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "strong",
+    "peak_alignment": "central",
+    "traits": [
+      "spring_peak",
+      "moderate_season",
+      "moderate_seasonal_window",
+      "strong_post_peak_decline",
+      "strong_offseason_suppression",
+      "central_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 3.29,
+    "season_end_month": 6.115,
+    "forcing_peak_month": 4.12,
+    "season_width_months": 2.825,
+    "season_midpoint_month": 4.7025,
+    "season_start_label": "March",
+    "season_end_label": "June",
+    "forcing_peak_label": "April"
+  },
+  "parameter_evidence": {
+    "GROWTH": 3.24,
+    "DECAY": 1.618,
+    "OOS_DECAY": 4.096,
+    "POST_PEAK_DECAY": 4.075,
+    "POST_PEAK_SHARPNESS": 6.19,
+    "SEASON_START": 3.29,
+    "SEASON_END": 6.115,
+    "SHARPNESS": 7.004,
+    "FORCING_PEAK": 4.12
+  },
+  "fit": {
+    "score": 0.06
+  },
+  "warnings": [],
+  "summary": "Reed Warbler is classified as moderate spring seasonal presence. The fitted seasonal window runs from about March to June, with a spring peak around April. The season is moderate, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-birds/seasonal/reed_warbler_consensus.json b/modelling/data/abingdon-birds/seasonal/reed_warbler_consensus.json
new file mode 100644
index 0000000..ceceffc
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/reed_warbler_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "3.24",
+  "DECAY": "1.618",
+  "OOS_DECAY": "4.096",
+  "POST_PEAK_DECAY": "4.075",
+  "POST_PEAK_SHARPNESS": "6.19",
+  "SEASON_START": "3.29",
+  "SEASON_END": "6.115",
+  "SHARPNESS": "7.004",
+  "FORCING_PEAK": "4.12",
+  "SCORE": "0.06",
+  "SPECIES": "Reed Warbler"
+}
diff --git a/modelling/data/abingdon-birds/seasonal/reed_warbler_observed.csv b/modelling/data/abingdon-birds/seasonal/reed_warbler_observed.csv
new file mode 100644
index 0000000..fe19f0d
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/reed_warbler_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,1
+4,4
+5,1
+6,3
+7,0
+8,0
+9,0
+10,0
+11,0
+12,0
diff --git a/modelling/data/abingdon-birds/seasonal/reed_warbler_parameters.csv b/modelling/data/abingdon-birds/seasonal/reed_warbler_parameters.csv
new file mode 100644
index 0000000..415b328
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/reed_warbler_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 11:00:19,reed_warbler_observed.csv,3.425,2.444,2.797,1.932,8.212,2.32,6.03,5.336,5.45,0.1178140631057952985746418087,
+2026-05-21 11:00:19,reed_warbler_observed.csv,1.064,1.467,4.174,7.243,4.234,3.49,5.99,11.632,4.27,0.07005402155749088372014894167,
+2026-05-21 11:00:19,reed_warbler_observed.csv,4.695,1.833,3.187,5.4,9.579,2.99,5.17,5.514,4.96,0.07182174117284942567604735632,
+2026-05-21 11:00:20,reed_warbler_observed.csv,1.439,0.534,7.205,1.3,4.073,2.7,5.69,14.581,2.94,0.09197445111965366164826599664,
+2026-05-21 11:00:20,reed_warbler_observed.csv,3.72,0.768,7.878,7.443,5.403,2.29,5.83,14.071,3.72,0.1184375762916935539147088388,
+2026-05-21 11:00:20,reed_warbler_observed.csv,3.82,1.793,5.72,5.992,1.418,2.88,5.5,3.65,5.45,0.07233273516195261358673312198,
+2026-05-21 11:00:20,reed_warbler_observed.csv,4.918,2.658,2.237,3.692,2.835,3.11,6.89,10.539,3.34,0.03650746324334366388948086832,
+2026-05-21 11:00:21,reed_warbler_observed.csv,3.872,2.033,6.151,1.118,7.07,2.31,5.43,13.255,3.18,0.1566440250000395510498997298,
+2026-05-21 11:00:21,reed_warbler_observed.csv,3.389,1.71,1.005,5.796,5.656,2.51,6.92,11.271,3.4,0.1192333093549865169591301047,
+2026-05-21 11:00:21,reed_warbler_observed.csv,1.36,2.677,4.292,7.388,3.935,3.89,6.46,14.829,4.89,0.1072941817998912179647455253,
+2026-05-21 11:00:21,reed_warbler_observed.csv,2.577,2.812,1.377,6.298,9.036,2.47,5.82,14.839,4.82,0.1398889515129035436725778371,
+2026-05-21 11:00:22,reed_warbler_observed.csv,2.967,0.805,1.111,6.452,4.227,2.88,6.0,8.35,3.6,0.08080764522839548909487147456,
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diff --git a/modelling/data/abingdon-birds/seasonal/reed_warbler_simulated.csv b/modelling/data/abingdon-birds/seasonal/reed_warbler_simulated.csv
new file mode 100644
index 0000000..4482e44
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/reed_warbler_simulated.csv
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diff --git a/modelling/data/abingdon-birds/seasonal/reed_warbler_synthesised.csv b/modelling/data/abingdon-birds/seasonal/reed_warbler_synthesised.csv
new file mode 100644
index 0000000..0e42a39
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/reed_warbler_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-birds/seasonal/reed_warbler_synthesised.png b/modelling/data/abingdon-birds/seasonal/reed_warbler_synthesised.png
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literal 0
HcmV?d00001

diff --git a/modelling/data/abingdon-birds/seasonal/swallow_classification.json b/modelling/data/abingdon-birds/seasonal/swallow_classification.json
new file mode 100644
index 0000000..b1f615a
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/swallow_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Swallow",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "extended_spring_seasonal_presence",
+    "timing": "spring",
+    "season_width": "very_broad",
+    "window_shape": "sharp",
+    "post_peak_decline": "moderate",
+    "offseason_suppression": "moderate",
+    "peak_alignment": "early",
+    "traits": [
+      "spring_peak",
+      "very_broad_season",
+      "sharp_seasonal_window",
+      "moderate_post_peak_decline",
+      "moderate_offseason_suppression",
+      "early_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 4.08,
+    "season_end_month": 10.295,
+    "forcing_peak_month": 5.47,
+    "season_width_months": 6.215,
+    "season_midpoint_month": 7.1875,
+    "season_start_label": "April",
+    "season_end_label": "October",
+    "forcing_peak_label": "May"
+  },
+  "parameter_evidence": {
+    "GROWTH": 3.111,
+    "DECAY": 1.967,
+    "OOS_DECAY": 3.851,
+    "POST_PEAK_DECAY": 2.266,
+    "POST_PEAK_SHARPNESS": 5.498,
+    "SEASON_START": 4.08,
+    "SEASON_END": 10.295,
+    "SHARPNESS": 8.176,
+    "FORCING_PEAK": 5.47
+  },
+  "fit": {
+    "score": 0.045
+  },
+  "warnings": [],
+  "summary": "Swallow is classified as extended spring seasonal presence. The fitted seasonal window runs from about April to October, with a spring peak around May. The season is very_broad, with a sharp active window, moderate post-peak decline, and moderate off-season suppression."
+}
diff --git a/modelling/data/abingdon-birds/seasonal/swallow_consensus.json b/modelling/data/abingdon-birds/seasonal/swallow_consensus.json
new file mode 100644
index 0000000..01974bf
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/swallow_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "3.111",
+  "DECAY": "1.967",
+  "OOS_DECAY": "3.851",
+  "POST_PEAK_DECAY": "2.266",
+  "POST_PEAK_SHARPNESS": "5.498",
+  "SEASON_START": "4.08",
+  "SEASON_END": "10.295",
+  "SHARPNESS": "8.176",
+  "FORCING_PEAK": "5.47",
+  "SCORE": "0.045",
+  "SPECIES": "Swallow"
+}
diff --git a/modelling/data/abingdon-birds/seasonal/swallow_observed.csv b/modelling/data/abingdon-birds/seasonal/swallow_observed.csv
new file mode 100644
index 0000000..6dfe5fc
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/swallow_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,23
+5,45
+6,33
+7,26
+8,29
+9,7
+10,3
+11,0
+12,0
diff --git a/modelling/data/abingdon-birds/seasonal/swallow_parameters.csv b/modelling/data/abingdon-birds/seasonal/swallow_parameters.csv
new file mode 100644
index 0000000..9ac5155
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/swallow_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 11:01:15,swallow_observed.csv,2.8,2.048,1.399,6.068,9.087,3.72,9.01,11.794,4.11,0.1872303050404222257287197435,
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+2026-05-21 11:01:16,swallow_observed.csv,3.379,2.176,3.207,1.492,6.872,3.29,9.57,13.085,4.75,0.07909839096480630147528854760,
+2026-05-21 11:01:16,swallow_observed.csv,2.435,2.598,6.736,5.182,4.204,3.31,10.61,9.713,3.88,0.1981695464910254952486031431,
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+2026-05-21 11:01:17,swallow_observed.csv,1.897,1.142,7.563,6.895,3.169,4.4,9.63,12.08,4.5,0.1010565127712494825953368519,
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+2026-05-21 11:01:18,swallow_observed.csv,1.15,2.614,4.135,3.72,5.25,4.77,10.92,11.965,6.49,0.08412084152490124320791883348,
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+2026-05-21 11:01:19,swallow_observed.csv,4.909,1.354,1.314,5.668,7.749,4.06,10.58,3.05,5.45,0.06188441610838400567695774176,
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+2026-05-21 11:01:21,swallow_observed.csv,1.948,0.504,7.097,2.377,1.788,3.24,9.85,9.724,6.4,0.08025014909311480585244616505,
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+2026-05-21 11:01:22,swallow_observed.csv,2.384,2.378,3.838,7.332,3.316,3.35,10.14,6.369,4.74,0.1669261781355544127646360025,
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+2026-05-21 11:01:37,swallow_observed.csv,3.833,0.858,7.602,1.927,3.422,3.31,10.62,1.07,4.18,0.09260121518003835102880658439,
+2026-05-21 11:01:37,swallow_observed.csv,4.551,1.54,4.129,3.134,1.072,3.66,10.04,14.056,4.8,0.07196069617986544457337015777,
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diff --git a/modelling/data/abingdon-birds/seasonal/swallow_synthesised.csv b/modelling/data/abingdon-birds/seasonal/swallow_synthesised.csv
new file mode 100644
index 0000000..3f2fe82
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/swallow_synthesised.csv
@@ -0,0 +1,13 @@
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+2,0,1.474998312e-06,4.915949450410897e-05
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+4,23,0.6035025700000001,20.11384083070777
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+9,7,0.2296542,7.6540320696621515
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+11,0,0.0001125299973,0.0037504570268394625
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diff --git a/modelling/data/abingdon-birds/seasonal/swallow_synthesised.png b/modelling/data/abingdon-birds/seasonal/swallow_synthesised.png
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diff --git a/modelling/data/abingdon-birds/seasonal/swift_classification.json b/modelling/data/abingdon-birds/seasonal/swift_classification.json
new file mode 100644
index 0000000..151332c
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/swift_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Swift",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "extended_summer_seasonal_presence",
+    "timing": "summer",
+    "season_width": "broad",
+    "window_shape": "moderate",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "strong",
+    "peak_alignment": "early",
+    "traits": [
+      "summer_peak",
+      "broad_season",
+      "moderate_seasonal_window",
+      "strong_post_peak_decline",
+      "strong_offseason_suppression",
+      "early_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 5.11,
+    "season_end_month": 9.305,
+    "forcing_peak_month": 6.06,
+    "season_width_months": 4.195,
+    "season_midpoint_month": 7.2075,
+    "season_start_label": "May",
+    "season_end_label": "September",
+    "forcing_peak_label": "June"
+  },
+  "parameter_evidence": {
+    "GROWTH": 2.546,
+    "DECAY": 1.848,
+    "OOS_DECAY": 4.081,
+    "POST_PEAK_DECAY": 3.803,
+    "POST_PEAK_SHARPNESS": 4.355,
+    "SEASON_START": 5.11,
+    "SEASON_END": 9.305,
+    "SHARPNESS": 7.507,
+    "FORCING_PEAK": 6.06
+  },
+  "fit": {
+    "score": 0.029
+  },
+  "warnings": [],
+  "summary": "Swift is classified as extended summer seasonal presence. The fitted seasonal window runs from about May to September, with a summer peak around June. The season is broad, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-birds/seasonal/swift_consensus.json b/modelling/data/abingdon-birds/seasonal/swift_consensus.json
new file mode 100644
index 0000000..9476190
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/swift_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "2.546",
+  "DECAY": "1.848",
+  "OOS_DECAY": "4.081",
+  "POST_PEAK_DECAY": "3.803",
+  "POST_PEAK_SHARPNESS": "4.355",
+  "SEASON_START": "5.11",
+  "SEASON_END": "9.305",
+  "SHARPNESS": "7.507",
+  "FORCING_PEAK": "6.06",
+  "SCORE": "0.029",
+  "SPECIES": "Swift"
+}
diff --git a/modelling/data/abingdon-birds/seasonal/swift_observed.csv b/modelling/data/abingdon-birds/seasonal/swift_observed.csv
new file mode 100644
index 0000000..bd880b3
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/swift_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,2
+5,34
+6,54
+7,40
+8,7
+9,4
+10,0
+11,0
+12,0
diff --git a/modelling/data/abingdon-birds/seasonal/swift_parameters.csv b/modelling/data/abingdon-birds/seasonal/swift_parameters.csv
new file mode 100644
index 0000000..28259fa
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/swift_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 11:02:12,swift_observed.csv,4.103,2.861,4.684,4.809,6.095,4.03,9.73,12.38,6.39,0.04237586277281404634721708988,
+2026-05-21 11:02:13,swift_observed.csv,4.518,1.952,6.977,4.817,9.065,5.24,8.34,1.519,5.55,0.05556851635141830053994685927,
+2026-05-21 11:02:13,swift_observed.csv,2.531,2.477,6.295,0.677,2.611,4.94,8.48,13.265,5.0,0.02464521538961103562796098437,
+2026-05-21 11:02:13,swift_observed.csv,1.503,1.731,6.194,5.757,4.732,4.85,8.28,7.348,6.74,0.02393349158195930200339981066,
+2026-05-21 11:02:14,swift_observed.csv,3.109,1.699,6.676,3.332,5.062,4.21,8.96,3.972,6.2,0.04760321450528567318908535507,
+2026-05-21 11:02:14,swift_observed.csv,3.33,1.922,7.23,3.231,7.411,4.28,9.88,11.605,6.06,0.03376414017911574568531341329,
+2026-05-21 11:02:14,swift_observed.csv,3.047,1.249,3.11,5.076,4.005,4.08,9.72,4.349,5.88,0.04700907163067903489003289253,
+2026-05-21 11:02:14,swift_observed.csv,1.204,1.567,4.787,1.266,5.128,5.87,8.28,2.581,6.68,0.08680878772579091214223623484,
+2026-05-21 11:02:15,swift_observed.csv,3.295,1.123,3.404,1.926,3.839,4.45,8.6,2.441,5.23,0.05329082612783071881213295804,
+2026-05-21 11:02:15,swift_observed.csv,4.694,1.99,3.081,7.741,6.126,4.58,8.0,12.168,4.91,0.1586150069139187444920957087,
+2026-05-21 11:02:15,swift_observed.csv,2.937,1.02,1.932,2.184,9.181,4.57,9.8,7.375,6.52,0.02915977328789362599737198154,
+2026-05-21 11:02:16,swift_observed.csv,4.851,0.572,2.598,5.245,3.825,4.08,8.01,12.388,5.11,0.1579903759569874698871579706,
+2026-05-21 11:02:16,swift_observed.csv,3.06,1.545,3.154,0.725,7.898,4.07,9.51,2.386,6.65,0.07161576082770756280524028752,
+2026-05-21 11:02:16,swift_observed.csv,3.97,2.916,3.061,5.848,8.637,5.62,8.59,4.528,7.06,0.07546037110803517405386911744,
+2026-05-21 11:02:16,swift_observed.csv,3.233,2.966,5.901,4.592,5.605,4.58,9.44,5.112,4.71,0.1054630996843219086247317762,
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new file mode 100644
index 0000000..8fc17b1
--- /dev/null
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diff --git a/modelling/data/abingdon-birds/seasonal/swift_synthesised.csv b/modelling/data/abingdon-birds/seasonal/swift_synthesised.csv
new file mode 100644
index 0000000..307f854
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/swift_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-birds/seasonal/swift_synthesised.png b/modelling/data/abingdon-birds/seasonal/swift_synthesised.png
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diff --git a/modelling/data/abingdon-birds/seasonal/whitethroat_classification.json b/modelling/data/abingdon-birds/seasonal/whitethroat_classification.json
new file mode 100644
index 0000000..2bc5329
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/whitethroat_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Whitethroat",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "moderate_spring_seasonal_presence",
+    "timing": "spring",
+    "season_width": "moderate",
+    "window_shape": "moderate",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "moderate",
+    "peak_alignment": "central",
+    "traits": [
+      "spring_peak",
+      "moderate_season",
+      "moderate_seasonal_window",
+      "strong_post_peak_decline",
+      "moderate_offseason_suppression",
+      "central_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 4.395,
+    "season_end_month": 6.77,
+    "forcing_peak_month": 5.19,
+    "season_width_months": 2.375,
+    "season_midpoint_month": 5.5825,
+    "season_start_label": "April",
+    "season_end_label": "July",
+    "forcing_peak_label": "May"
+  },
+  "parameter_evidence": {
+    "GROWTH": 2.702,
+    "DECAY": 1.888,
+    "OOS_DECAY": 3.599,
+    "POST_PEAK_DECAY": 4.627,
+    "POST_PEAK_SHARPNESS": 6.37,
+    "SEASON_START": 4.395,
+    "SEASON_END": 6.77,
+    "SHARPNESS": 7.882,
+    "FORCING_PEAK": 5.19
+  },
+  "fit": {
+    "score": 0.028
+  },
+  "warnings": [],
+  "summary": "Whitethroat is classified as moderate spring seasonal presence. The fitted seasonal window runs from about April to July, with a spring peak around May. The season is moderate, with a moderate active window, strong post-peak decline, and moderate off-season suppression."
+}
diff --git a/modelling/data/abingdon-birds/seasonal/whitethroat_consensus.json b/modelling/data/abingdon-birds/seasonal/whitethroat_consensus.json
new file mode 100644
index 0000000..a5f24bf
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/whitethroat_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "2.702",
+  "DECAY": "1.888",
+  "OOS_DECAY": "3.599",
+  "POST_PEAK_DECAY": "4.627",
+  "POST_PEAK_SHARPNESS": "6.37",
+  "SEASON_START": "4.395",
+  "SEASON_END": "6.77",
+  "SHARPNESS": "7.882",
+  "FORCING_PEAK": "5.19",
+  "SCORE": "0.028",
+  "SPECIES": "Whitethroat"
+}
diff --git a/modelling/data/abingdon-birds/seasonal/whitethroat_observed.csv b/modelling/data/abingdon-birds/seasonal/whitethroat_observed.csv
new file mode 100644
index 0000000..7a5420f
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/whitethroat_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,3
+5,24
+6,4
+7,4
+8,0
+9,0
+10,0
+11,0
+12,0
diff --git a/modelling/data/abingdon-birds/seasonal/whitethroat_parameters.csv b/modelling/data/abingdon-birds/seasonal/whitethroat_parameters.csv
new file mode 100644
index 0000000..495d5de
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/whitethroat_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 11:03:10,whitethroat_observed.csv,3.407,0.675,2.045,4.311,9.27,4.42,7.99,5.906,6.44,0.1050254300026422683707024232,
+2026-05-21 11:03:10,whitethroat_observed.csv,4.131,1.312,4.351,4.084,8.655,3.68,7.86,1.797,5.16,0.04312314936855029799069916935,
+2026-05-21 11:03:10,whitethroat_observed.csv,1.15,0.934,4.82,1.488,1.032,4.87,7.57,2.582,6.02,0.1240500337257563949819614077,
+2026-05-21 11:03:11,whitethroat_observed.csv,2.84,2.056,1.142,7.847,3.003,4.99,7.86,2.658,5.49,0.03112684349336395744273360162,
+2026-05-21 11:03:11,whitethroat_observed.csv,2.224,2.065,2.39,4.91,2.314,3.27,7.17,5.465,6.28,0.09345273751611553871369435650,
+2026-05-21 11:03:11,whitethroat_observed.csv,4.153,2.548,2.138,7.858,9.462,3.41,6.46,7.89,4.64,0.1219630672193926066006938742,
+2026-05-21 11:03:12,whitethroat_observed.csv,3.433,1.201,6.407,0.582,1.499,4.91,6.89,4.075,5.5,0.09911346206209438339029456880,
+2026-05-21 11:03:12,whitethroat_observed.csv,1.83,1.491,4.713,5.158,9.085,3.07,7.85,4.059,5.43,0.07319683911302288410232442767,
+2026-05-21 11:03:12,whitethroat_observed.csv,3.623,1.287,7.036,0.188,5.215,4.09,7.81,6.58,4.73,0.09460273696653031480483954938,
+2026-05-21 11:03:12,whitethroat_observed.csv,1.477,1.977,2.559,1.806,7.111,4.64,6.71,3.344,4.93,0.01691430739194754716994505445,
+2026-05-21 11:03:13,whitethroat_observed.csv,3.007,2.857,4.713,7.538,8.195,3.44,7.01,6.202,5.05,0.08995388558532133599121355121,
+2026-05-21 11:03:13,whitethroat_observed.csv,1.061,1.214,1.232,6.38,7.177,3.24,7.24,12.99,5.2,0.06219336476743872376644303808,
+2026-05-21 11:03:13,whitethroat_observed.csv,2.032,1.9,3.965,5.204,4.349,3.26,7.41,6.583,5.23,0.07320273056530823855604801691,
+2026-05-21 11:03:13,whitethroat_observed.csv,2.249,2.335,4.307,4.418,3.799,4.77,6.55,12.411,5.59,0.06368376912584675382400540170,
+2026-05-21 11:03:14,whitethroat_observed.csv,3.918,2.959,6.082,4.61,1.952,4.36,7.05,7.182,5.44,0.02569361743267812542669754454,
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diff --git a/modelling/data/abingdon-birds/seasonal/whitethroat_simulated.csv b/modelling/data/abingdon-birds/seasonal/whitethroat_simulated.csv
new file mode 100644
index 0000000..c8b2c2d
--- /dev/null
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diff --git a/modelling/data/abingdon-birds/seasonal/whitethroat_synthesised.csv b/modelling/data/abingdon-birds/seasonal/whitethroat_synthesised.csv
new file mode 100644
index 0000000..f4bca7b
--- /dev/null
+++ b/modelling/data/abingdon-birds/seasonal/whitethroat_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-birds/seasonal/whitethroat_synthesised.png b/modelling/data/abingdon-birds/seasonal/whitethroat_synthesised.png
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diff --git a/modelling/data/abingdon-birds/winter/redwing_classification.json b/modelling/data/abingdon-birds/winter/redwing_classification.json
new file mode 100644
index 0000000..07ce43f
--- /dev/null
+++ b/modelling/data/abingdon-birds/winter/redwing_classification.json
@@ -0,0 +1,82 @@
+{
+  "schema_version": "winter-classification/v1",
+  "species": "Redwing",
+  "model_family": "winter_presence",
+  "classification": {
+    "primary_class": "winter_visitor_with_autumn_arrival_component",
+    "winter_timing": "core_winter",
+    "autumn_component": "moderate",
+    "summer_suppression": "moderate",
+    "baseline_presence": "low",
+    "winter_bump_shape": "moderate",
+    "autumn_bump_shape": "moderate",
+    "response_dynamics": "slow_arrival_fast_departure",
+    "traits": [
+      "year_wrapping_winter_presence",
+      "core_winter_winter_peak",
+      "moderate_autumn_component",
+      "moderate_summer_suppression",
+      "low_baseline_presence",
+      "moderate_winter_bump",
+      "slow_arrival_fast_departure_response_dynamics"
+    ],
+    "confidence": "medium"
+  },
+  "derived_metrics": {
+    "winter_peak_month": 1.62,
+    "winter_peak_label": "February",
+    "autumn_peak_month": 11.65,
+    "autumn_peak_label": "December",
+    "summer_low_month": 6.32,
+    "summer_low_label": "June",
+    "autumn_to_winter_weight_ratio": 0.23686723973256923,
+    "decay_to_growth_ratio": 2.658008658008658,
+    "target_peak_month": 1,
+    "target_peak_label": "January",
+    "target_trough_month": 5,
+    "target_trough_label": "May",
+    "active_months_ge_0_10": [
+      1,
+      2,
+      3,
+      4,
+      10,
+      11,
+      12
+    ],
+    "monthly_target": {
+      "January": 1.1289330611294266,
+      "February": 1.0770743597963044,
+      "March": 0.7094479592944527,
+      "April": 0.2511955608723617,
+      "May": 0.0,
+      "June": 0.0,
+      "July": 0.0,
+      "August": 0.0,
+      "September": 0.0026649896423755694,
+      "October": 0.16727450872549796,
+      "November": 0.46154582479004663,
+      "December": 0.8530761677206015
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.971,
+    "GROWTH_RATE": 0.924,
+    "DECAY_RATE": 2.456,
+    "BASELINE": 0.0,
+    "WINTER_WEIGHT": 1.047,
+    "AUTUMN_WEIGHT": 0.248,
+    "WINTER_PEAK": 1.62,
+    "AUTUMN_PEAK": 11.65,
+    "WINTER_WIDTH": 2.892,
+    "AUTUMN_WIDTH": 3.48,
+    "SUMMER_DIP": 0.228,
+    "SUMMER_LOW": 6.32,
+    "SUMMER_WIDTH": 3.244
+  },
+  "fit": {
+    "score": 0.128
+  },
+  "warnings": [],
+  "summary": "Redwing is classified as winter visitor with autumn arrival component. The fitted winter component peaks around February, with a moderate autumn component centred around December. The model has low baseline presence and moderate summer suppression centred around June. The fitted response dynamics suggest slow arrival fast departure."
+}
diff --git a/modelling/data/abingdon-birds/winter/redwing_consensus.json b/modelling/data/abingdon-birds/winter/redwing_consensus.json
new file mode 100644
index 0000000..46620d8
--- /dev/null
+++ b/modelling/data/abingdon-birds/winter/redwing_consensus.json
@@ -0,0 +1,17 @@
+{
+  "SCORE": "0.128",
+  "INITIAL_Y": "0.971",
+  "GROWTH_RATE": "0.924",
+  "DECAY_RATE": "2.456",
+  "BASELINE": "0",
+  "WINTER_WEIGHT": "1.047",
+  "AUTUMN_WEIGHT": "0.248",
+  "WINTER_PEAK": "1.62",
+  "AUTUMN_PEAK": "11.65",
+  "WINTER_WIDTH": "2.892",
+  "AUTUMN_WIDTH": "3.48",
+  "SUMMER_DIP": "0.228",
+  "SUMMER_LOW": "6.32",
+  "SUMMER_WIDTH": "3.244",
+  "SPECIES": "Redwing"
+}
diff --git a/modelling/data/abingdon-birds/winter/redwing_observed.csv b/modelling/data/abingdon-birds/winter/redwing_observed.csv
new file mode 100644
index 0000000..47a5787
--- /dev/null
+++ b/modelling/data/abingdon-birds/winter/redwing_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,24
+2,26
+3,14
+4,1
+5,0
+6,0
+7,0
+8,0
+9,0
+10,0
+11,0
+12,6
diff --git a/modelling/data/abingdon-birds/winter/redwing_parameters.csv b/modelling/data/abingdon-birds/winter/redwing_parameters.csv
new file mode 100644
index 0000000..2275464
--- /dev/null
+++ b/modelling/data/abingdon-birds/winter/redwing_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,WINTER_WIDTH,AUTUMN_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_WIDTH
+2026-05-21 11:07:45,redwing_observed.csv,0.1259363909787165345999211046,0.718,0.318,0.587,0.0,0.784,0.061,1.01,11.83,2.812,5.323,0.368,6.33,1.977
+2026-05-21 11:07:45,redwing_observed.csv,0.1775487415707925868238895518,1.155,0.4,3.075,0.0,1.286,0.643,1.22,11.37,1.931,3.208,0.025,7.07,4.922
+2026-05-21 11:07:45,redwing_observed.csv,0.1174199132219570805541138844,1.183,1.752,2.105,0.0,0.78,0.188,0.8,11.83,3.529,1.55,0.144,7.06,1.184
+2026-05-21 11:07:46,redwing_observed.csv,0.1334267438174057127789904065,0.599,0.481,2.042,0.0,1.058,0.061,1.16,11.83,1.816,3.944,0.196,7.18,3.291
+2026-05-21 11:07:46,redwing_observed.csv,0.1198580115555077370288738970,1.07,1.508,3.475,0.0,0.814,0.32,1.46,11.92,3.688,3.293,0.174,6.02,2.771
+2026-05-21 11:07:46,redwing_observed.csv,0.2823511070060848297440502355,0.678,1.57,0.837,0.0,1.358,0.208,3.37,11.09,3.197,1.292,0.317,5.67,4.541
+2026-05-21 11:07:46,redwing_observed.csv,0.1044639073867422947241965874,0.983,0.335,3.399,0.0,0.834,0.226,0.51,11.74,3.163,1.765,0.339,5.77,3.779
+2026-05-21 11:07:47,redwing_observed.csv,0.2612105662315898373717017312,0.901,1.967,1.732,0.0,0.802,0.568,0.76,11.42,2.393,5.262,0.235,6.26,2.031
+2026-05-21 11:07:47,redwing_observed.csv,0.1911736615407053429779339250,0.61,0.746,1.465,0.0,0.907,0.534,1.47,11.52,1.844,2.487,0.097,7.94,1.544
+2026-05-21 11:07:47,redwing_observed.csv,0.2327612952146533432900136972,0.632,1.666,1.255,0.0,1.003,0.61,2.57,11.49,2.83,5.369,0.07,7.91,4.127
+2026-05-21 11:07:48,redwing_observed.csv,0.1643567611594964366394092100,1.046,1.178,1.315,0.0,0.955,0.586,2.33,11.8,3.702,2.241,0.08,7.01,1.795
+2026-05-21 11:07:48,redwing_observed.csv,0.1407798434118192116355565262,0.959,1.574,1.979,0.0,1.355,0.257,1.08,11.68,3.273,2.381,0.389,5.77,3.619
+2026-05-21 11:07:48,redwing_observed.csv,0.2712840522378772448562126373,0.619,1.191,2.86,0.0,1.3,0.423,0.56,11.68,0.86,4.727,0.392,5.98,2.046
+2026-05-21 11:07:48,redwing_observed.csv,0.2335891409414199015505108481,0.623,1.468,2.091,0.0,1.106,0.778,1.0,11.73,2.319,2.784,0.226,5.98,3.49
+2026-05-21 11:07:49,redwing_observed.csv,0.2894042022594807802051419023,0.616,1.593,0.688,0.0,0.728,0.208,1.05,11.07,1.673,4.29,0.175,6.52,1.867
+2026-05-21 11:07:49,redwing_observed.csv,0.2227614607383235921868547228,1.098,0.306,3.02,0.0,1.319,0.629,3.36,11.95,1.784,4.255,0.223,6.57,1.459
+2026-05-21 11:07:49,redwing_observed.csv,0.1871940708567952536255166173,0.693,0.408,2.034,0.0,1.303,0.531,0.83,11.45,2.721,3.168,0.024,7.38,3.382
+2026-05-21 11:07:50,redwing_observed.csv,0.1955125160378236393142800789,0.593,0.327,1.43,0.0,1.248,0.378,2.72,11.26,3.693,1.788,0.371,6.15,1.841
+2026-05-21 11:07:50,redwing_observed.csv,0.1282669523738779615519243097,0.731,0.287,3.417,0.0,0.918,0.471,1.81,11.55,3.581,1.5,0.004,7.09,4.381
+2026-05-21 11:07:50,redwing_observed.csv,0.2068372507201838747124923296,1.201,1.776,0.878,0.0,1.291,0.291,2.15,11.66,2.114,4.443,0.361,7.37,1.696
+2026-05-21 11:07:51,redwing_observed.csv,0.2254887388969664272871769962,0.581,1.994,2.057,0.0,1.494,0.387,0.77,11.35,2.9,1.611,0.313,7.54,4.388
+2026-05-21 11:07:51,redwing_observed.csv,0.3614830686166677126373000218,0.668,1.077,0.543,0.0,0.916,0.591,3.19,11.85,0.998,1.57,0.005,6.16,1.865
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diff --git a/modelling/data/abingdon-birds/winter/redwing_simulated.csv b/modelling/data/abingdon-birds/winter/redwing_simulated.csv
new file mode 100644
index 0000000..7d5b6d2
--- /dev/null
+++ b/modelling/data/abingdon-birds/winter/redwing_simulated.csv
@@ -0,0 +1,123 @@
+method,step,t,y,step_size,difference,tolerance,y_normalised
+RungeKutta4,0,0.0,0.971,0.1,0,0.01,0.910237
+RungeKutta4,1,0.1,0.985486,0.1,0,0.01,0.923816
+RungeKutta4,2,0.2,0.999552,0.1,0,0.01,0.937002
+RungeKutta4,3,0.3,1.01292,0.1,0,0.01,0.949538
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diff --git a/modelling/data/abingdon-birds/winter/redwing_synthesised.csv b/modelling/data/abingdon-birds/winter/redwing_synthesised.csv
new file mode 100644
index 0000000..43e974c
--- /dev/null
+++ b/modelling/data/abingdon-birds/winter/redwing_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
+1,24,1.0256358,21.106708754368842
+2,26,1.0059748000000002,20.702102167099124
+3,14,0.6729871000000001,13.84949971046964
+4,1,0.2479946,5.103517052404175
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+6,0,0.0025202637,0.05186487435414013
+7,0,0.00021620074999999998,0.004449226774968374
+8,0,1.8546886e-05,0.00038167907272979436
+9,0,0.016127307299999998,0.33188620967921206
+10,0,0.11744744,2.4169680017275224
+11,0,0.335936,6.913275952445937
+12,6,0.6478961,13.333148361037543
diff --git a/modelling/data/abingdon-birds/winter/redwing_synthesised.png b/modelling/data/abingdon-birds/winter/redwing_synthesised.png
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literal 0
HcmV?d00001


From 65bfbea88bad7f06951fe06d2a1ea70a25a3b717 Mon Sep 17 00:00:00 2001
From: Dave Walker <david.walker5@icloud.com>
Date: Thu, 21 May 2026 13:40:59 +0100
Subject: [PATCH 2/3] Added all Abingdon butterfly species with sufficient data
 to model

---
 .../brimstone_butterfly_classification.json   |  49 +++++
 .../brimstone_butterfly_consensus.json        |  13 ++
 .../seasonal/brimstone_butterfly_observed.csv |  13 ++
 .../brimstone_butterfly_parameters.csv        | 201 ++++++++++++++++++
 .../brimstone_butterfly_simulated.csv         | 123 +++++++++++
 .../brimstone_butterfly_simulated.png         | Bin 0 -> 31533 bytes
 .../brimstone_butterfly_synthesised.csv       |  13 ++
 .../brimstone_butterfly_synthesised.png       | Bin 0 -> 76705 bytes
 .../gatekeeper_butterfly_classification.json  |  49 +++++
 .../gatekeeper_butterfly_consensus.json       |  13 ++
 .../gatekeeper_butterfly_observed.csv         |  13 ++
 .../gatekeeper_butterfly_parameters.csv       | 201 ++++++++++++++++++
 .../gatekeeper_butterfly_simulated.csv        | 123 +++++++++++
 .../gatekeeper_butterfly_simulated.png        | Bin 0 -> 28662 bytes
 .../gatekeeper_butterfly_synthesised.csv      |  13 ++
 .../gatekeeper_butterfly_synthesised.png      | Bin 0 -> 63061 bytes
 ...meadow_brown_butterfly_classification.json |  49 +++++
 .../meadow_brown_butterfly_consensus.json     |  13 ++
 .../meadow_brown_butterfly_observed.csv       |  13 ++
 .../meadow_brown_butterfly_parameters.csv     | 201 ++++++++++++++++++
 .../meadow_brown_butterfly_simulated.csv      | 123 +++++++++++
 .../meadow_brown_butterfly_simulated.png      | Bin 0 -> 31336 bytes
 .../meadow_brown_butterfly_synthesised.csv    |  13 ++
 .../meadow_brown_butterfly_synthesised.png    | Bin 0 -> 71689 bytes
 .../orange_tip_butterfly_classification.json  |  49 +++++
 .../orange_tip_butterfly_consensus.json       |  13 ++
 .../orange_tip_butterfly_observed.csv         |  13 ++
 .../orange_tip_butterfly_parameters.csv       | 201 ++++++++++++++++++
 .../orange_tip_butterfly_simulated.csv        | 123 +++++++++++
 .../orange_tip_butterfly_simulated.png        | Bin 0 -> 29018 bytes
 .../orange_tip_butterfly_synthesised.csv      |  13 ++
 .../orange_tip_butterfly_synthesised.png      | Bin 0 -> 63812 bytes
 .../peacock_butterfly_classification.json     |  49 +++++
 .../seasonal/peacock_butterfly_consensus.json |  13 ++
 .../seasonal/peacock_butterfly_observed.csv   |  13 ++
 .../seasonal/peacock_butterfly_parameters.csv | 201 ++++++++++++++++++
 .../seasonal/peacock_butterfly_simulated.csv  | 123 +++++++++++
 .../seasonal/peacock_butterfly_simulated.png  | Bin 0 -> 30749 bytes
 .../peacock_butterfly_synthesised.csv         |  13 ++
 .../peacock_butterfly_synthesised.png         | Bin 0 -> 74889 bytes
 .../red_admiral_butterfly_classification.json |  49 +++++
 .../red_admiral_butterfly_consensus.json      |  13 ++
 .../red_admiral_butterfly_observed.csv        |  13 ++
 .../red_admiral_butterfly_parameters.csv      | 201 ++++++++++++++++++
 .../red_admiral_butterfly_simulated.csv       | 123 +++++++++++
 .../red_admiral_butterfly_simulated.png       | Bin 0 -> 32920 bytes
 .../red_admiral_butterfly_synthesised.csv     |  13 ++
 .../red_admiral_butterfly_synthesised.png     | Bin 0 -> 82034 bytes
 ...peckled_wood_butterfly_classification.json |  49 +++++
 .../speckled_wood_butterfly_consensus.json    |  13 ++
 .../speckled_wood_butterfly_observed.csv      |  13 ++
 .../speckled_wood_butterfly_parameters.csv    | 201 ++++++++++++++++++
 .../speckled_wood_butterfly_simulated.csv     | 123 +++++++++++
 .../speckled_wood_butterfly_simulated.png     | Bin 0 -> 31629 bytes
 .../speckled_wood_butterfly_synthesised.csv   |  13 ++
 .../speckled_wood_butterfly_synthesised.png   | Bin 0 -> 74986 bytes
 56 files changed, 2884 insertions(+)
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_classification.json
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_consensus.json
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_observed.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_parameters.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_simulated.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_simulated.png
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_synthesised.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_synthesised.png
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_classification.json
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_consensus.json
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_observed.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_parameters.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_simulated.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_simulated.png
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_synthesised.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_synthesised.png
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_classification.json
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_consensus.json
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_observed.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_parameters.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_simulated.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_simulated.png
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_synthesised.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_synthesised.png
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_classification.json
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_consensus.json
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_observed.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_parameters.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_simulated.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_simulated.png
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_synthesised.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_synthesised.png
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_classification.json
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_consensus.json
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_observed.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_parameters.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_simulated.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_simulated.png
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_synthesised.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_synthesised.png
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_classification.json
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_consensus.json
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_observed.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_parameters.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_simulated.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_simulated.png
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_synthesised.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_synthesised.png
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_classification.json
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_consensus.json
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_observed.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_parameters.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_simulated.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_simulated.png
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_synthesised.csv
 create mode 100644 modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_synthesised.png

diff --git a/modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_classification.json b/modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_classification.json
new file mode 100644
index 0000000..1e7b197
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Brimstone Butterfly",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "extended_spring_seasonal_presence",
+    "timing": "spring",
+    "season_width": "very_broad",
+    "window_shape": "moderate",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "strong",
+    "peak_alignment": "early",
+    "traits": [
+      "spring_peak",
+      "very_broad_season",
+      "moderate_seasonal_window",
+      "strong_post_peak_decline",
+      "strong_offseason_suppression",
+      "early_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 2.29,
+    "season_end_month": 9.12,
+    "forcing_peak_month": 4.145,
+    "season_width_months": 6.83,
+    "season_midpoint_month": 5.705,
+    "season_start_label": "February",
+    "season_end_label": "September",
+    "forcing_peak_label": "April"
+  },
+  "parameter_evidence": {
+    "GROWTH": 2.959,
+    "DECAY": 1.864,
+    "OOS_DECAY": 4.404,
+    "POST_PEAK_DECAY": 4.462,
+    "POST_PEAK_SHARPNESS": 6.051,
+    "SEASON_START": 2.29,
+    "SEASON_END": 9.12,
+    "SHARPNESS": 6.652,
+    "FORCING_PEAK": 4.145
+  },
+  "fit": {
+    "score": 0.053
+  },
+  "warnings": [],
+  "summary": "Brimstone Butterfly is classified as extended spring seasonal presence. The fitted seasonal window runs from about February to September, with a spring peak around April. The season is very_broad, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_consensus.json b/modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_consensus.json
new file mode 100644
index 0000000..73a4e97
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "2.959",
+  "DECAY": "1.864",
+  "OOS_DECAY": "4.404",
+  "POST_PEAK_DECAY": "4.462",
+  "POST_PEAK_SHARPNESS": "6.051",
+  "SEASON_START": "2.29",
+  "SEASON_END": "9.12",
+  "SHARPNESS": "6.652",
+  "FORCING_PEAK": "4.145",
+  "SCORE": "0.053",
+  "SPECIES": "Brimstone Butterfly"
+}
diff --git a/modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_observed.csv b/modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_observed.csv
new file mode 100644
index 0000000..a16fcbf
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,5
+3,9
+4,14
+5,3
+6,2
+7,0
+8,0
+9,1
+10,0
+11,0
+12,0
diff --git a/modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_parameters.csv b/modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_parameters.csv
new file mode 100644
index 0000000..a89fa42
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 13:23:35,brimstone_butterfly_observed.csv,4.365,2.296,1.926,6.482,5.736,1.43,8.97,11.31,3.12,0.1441978987193165934417890033,
+2026-05-21 13:23:35,brimstone_butterfly_observed.csv,1.509,2.327,7.275,7.276,5.746,2.82,8.76,8.674,3.74,0.07562464273249487566353310562,
+2026-05-21 13:23:36,brimstone_butterfly_observed.csv,3.038,1.815,7.149,3.786,5.647,1.33,8.13,10.462,3.93,0.08455796722736732881764068359,
+2026-05-21 13:23:36,brimstone_butterfly_observed.csv,3.079,2.774,4.387,5.757,7.594,1.93,8.28,9.135,4.94,0.07491635293676583786467701428,
+2026-05-21 13:23:36,brimstone_butterfly_observed.csv,3.168,2.531,1.05,0.125,1.549,2.67,8.03,1.726,2.83,0.1124977574125212518766156463,
+2026-05-21 13:23:36,brimstone_butterfly_observed.csv,4.189,2.844,6.507,3.339,2.217,1.69,9.74,4.226,2.72,0.1217718245511319000600861958,
+2026-05-21 13:23:37,brimstone_butterfly_observed.csv,4.177,0.842,3.209,3.058,4.532,1.25,9.39,5.649,2.81,0.1353250372243241040571528383,
+2026-05-21 13:23:37,brimstone_butterfly_observed.csv,2.844,2.941,3.012,1.209,5.695,1.21,8.71,7.022,2.94,0.1428570549576477961576555501,
+2026-05-21 13:23:37,brimstone_butterfly_observed.csv,3.465,2.326,1.458,0.852,1.314,2.27,8.32,1.466,2.62,0.1007245259721147264184145881,
+2026-05-21 13:23:37,brimstone_butterfly_observed.csv,2.906,0.796,6.241,7.564,1.533,2.46,8.34,11.704,3.71,0.08248754582053378600045180547,
+2026-05-21 13:23:38,brimstone_butterfly_observed.csv,2.99,1.383,1.95,0.615,7.334,1.5,8.29,4.823,3.27,0.1048061825591271363366241380,
+2026-05-21 13:23:38,brimstone_butterfly_observed.csv,1.832,2.533,3.283,4.41,2.293,2.68,9.32,4.056,4.13,0.04370117994142329924528885375,
+2026-05-21 13:23:38,brimstone_butterfly_observed.csv,3.18,2.043,1.818,5.925,4.505,2.23,8.43,5.081,3.84,0.07120185514827560560685647224,
+2026-05-21 13:23:39,brimstone_butterfly_observed.csv,4.777,1.932,4.457,1.098,1.796,2.46,9.91,10.495,4.16,0.06677701009252389400646440908,
+2026-05-21 13:23:39,brimstone_butterfly_observed.csv,2.874,1.228,2.294,6.888,7.437,2.92,8.76,4.633,4.93,0.1265828859620929809753600849,
+2026-05-21 13:23:39,brimstone_butterfly_observed.csv,4.634,0.908,2.168,3.113,4.587,1.94,9.99,13.262,4.46,0.04714683043785612647535931361,
+2026-05-21 13:23:39,brimstone_butterfly_observed.csv,3.018,2.655,4.955,7.162,3.401,2.8,9.62,14.979,4.12,0.05750020140824604996324528408,
+2026-05-21 13:23:40,brimstone_butterfly_observed.csv,4.157,2.58,2.494,3.728,7.896,1.98,8.45,14.15,3.35,0.08648777554555988053645374159,
+2026-05-21 13:23:40,brimstone_butterfly_observed.csv,4.091,2.771,5.73,3.995,7.722,1.62,8.58,9.258,3.74,0.1087561178513517609805314005,
+2026-05-21 13:23:40,brimstone_butterfly_observed.csv,4.708,0.698,5.11,0.682,7.372,2.15,8.7,1.911,5.42,0.2097129320625165139092267177,
+2026-05-21 13:23:40,brimstone_butterfly_observed.csv,1.374,1.234,7.53,1.176,6.018,1.97,8.38,13.418,4.41,0.07891970157250789417042345354,
+2026-05-21 13:23:41,brimstone_butterfly_observed.csv,4.903,2.079,4.425,3.908,6.398,1.27,9.47,4.596,4.32,0.07101445699404810025729592117,
+2026-05-21 13:23:41,brimstone_butterfly_observed.csv,4.861,2.82,4.205,5.072,5.088,2.62,9.17,9.201,3.8,0.03518660179553503233601755013,
+2026-05-21 13:23:41,brimstone_butterfly_observed.csv,1.533,1.468,5.194,5.604,2.886,1.0,9.0,10.47,3.89,0.1142165486203016363101525935,
+2026-05-21 13:23:42,brimstone_butterfly_observed.csv,1.865,1.286,5.851,1.443,3.452,1.01,8.2,14.708,3.52,0.1243230234544255136684446148,
+2026-05-21 13:23:42,brimstone_butterfly_observed.csv,2.392,0.604,7.922,6.082,1.7,1.64,8.89,10.498,2.7,0.1818637743403835958785824823,
+2026-05-21 13:23:42,brimstone_butterfly_observed.csv,3.814,1.614,2.471,4.846,6.106,1.51,8.58,5.512,2.84,0.1636556752878831192695947963,
+2026-05-21 13:23:42,brimstone_butterfly_observed.csv,2.896,1.701,4.604,6.785,8.591,1.77,9.43,1.658,4.38,0.05562964599860212764414315950,
+2026-05-21 13:23:43,brimstone_butterfly_observed.csv,2.07,0.652,6.069,6.105,8.63,1.62,8.06,11.821,5.02,0.1155484975169889134314171214,
+2026-05-21 13:23:43,brimstone_butterfly_observed.csv,3.686,2.046,7.261,2.037,6.553,2.28,8.02,1.621,5.42,0.1403090685348488573845379342,
+2026-05-21 13:23:43,brimstone_butterfly_observed.csv,2.333,0.901,3.04,2.551,7.369,2.92,8.62,3.816,4.14,0.07803078991289443805351088702,
+2026-05-21 13:23:43,brimstone_butterfly_observed.csv,4.749,1.531,2.122,6.957,6.054,1.58,9.39,8.76,3.5,0.1115199848528684333365333427,
+2026-05-21 13:23:44,brimstone_butterfly_observed.csv,3.212,2.791,2.469,1.494,9.775,1.92,9.78,7.056,3.44,0.07338161461761420210867231076,
+2026-05-21 13:23:44,brimstone_butterfly_observed.csv,4.496,0.921,2.758,3.874,4.651,2.92,8.24,5.038,5.27,0.1749556654458566695438010696,
+2026-05-21 13:23:44,brimstone_butterfly_observed.csv,4.506,2.349,1.793,4.116,8.933,3.0,9.8,5.094,5.04,0.1214312488259780627807788444,
+2026-05-21 13:23:45,brimstone_butterfly_observed.csv,1.417,0.632,7.709,7.041,8.008,2.57,9.96,1.7,5.39,0.1609116149656882987890191224,
+2026-05-21 13:23:45,brimstone_butterfly_observed.csv,4.02,0.745,7.508,6.163,4.568,2.21,8.79,1.03,4.18,0.05377605853298548933208958807,
+2026-05-21 13:23:45,brimstone_butterfly_observed.csv,3.705,2.929,2.088,7.772,1.682,1.09,9.67,4.452,5.4,0.08265687000743833941825410969,
+2026-05-21 13:23:45,brimstone_butterfly_observed.csv,4.424,2.778,5.612,3.329,7.386,1.27,8.31,8.087,4.42,0.08785806619318306529094204864,
+2026-05-21 13:23:46,brimstone_butterfly_observed.csv,2.896,0.993,1.592,0.704,7.114,2.39,9.73,13.067,2.84,0.07504799879133613571659113577,
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diff --git a/modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_simulated.csv b/modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_simulated.csv
new file mode 100644
index 0000000..7917aba
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_simulated.csv
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diff --git a/modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_simulated.png b/modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_simulated.png
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diff --git a/modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_synthesised.csv b/modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_synthesised.csv
new file mode 100644
index 0000000..89247da
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
+1,0,0.00222602193,0.018085560542399137
+2,5,0.32311206,2.625159547780961
+3,9,1.2000494,9.749933630514484
+4,14,1.474469,11.979485919705523
+5,3,0.7308503,5.937873823228943
+6,2,0.33623379999999997,2.7317685708069024
+7,0,0.21612230000000002,1.7559094492894547
+8,0,0.10119797999999999,0.8221941434595376
+9,1,0.0102058118,0.08291824294526673
+10,0,4.4381858e-06,3.605852974876853e-05
+11,0,2.2066358000000002e-08,1.792805579230091e-07
+12,0,1.38706783e-10,1.1269385479899199e-09
diff --git a/modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_synthesised.png b/modelling/data/abingdon-butterflies/seasonal/brimstone_butterfly_synthesised.png
new file mode 100644
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diff --git a/modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_classification.json b/modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_classification.json
new file mode 100644
index 0000000..6f0221d
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Gatekeeper Butterfly",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "moderate_summer_seasonal_presence",
+    "timing": "summer",
+    "season_width": "moderate",
+    "window_shape": "moderate",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "strong",
+    "peak_alignment": "central",
+    "traits": [
+      "summer_peak",
+      "moderate_season",
+      "moderate_seasonal_window",
+      "strong_post_peak_decline",
+      "strong_offseason_suppression",
+      "central_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 6.125,
+    "season_end_month": 8.56,
+    "forcing_peak_month": 7.475,
+    "season_width_months": 2.435,
+    "season_midpoint_month": 7.3425,
+    "season_start_label": "June",
+    "season_end_label": "September",
+    "forcing_peak_label": "July"
+  },
+  "parameter_evidence": {
+    "GROWTH": 3.012,
+    "DECAY": 1.52,
+    "OOS_DECAY": 4.032,
+    "POST_PEAK_DECAY": 3.563,
+    "POST_PEAK_SHARPNESS": 5.208,
+    "SEASON_START": 6.125,
+    "SEASON_END": 8.56,
+    "SHARPNESS": 7.572,
+    "FORCING_PEAK": 7.475
+  },
+  "fit": {
+    "score": 0.037
+  },
+  "warnings": [],
+  "summary": "Gatekeeper Butterfly is classified as moderate summer seasonal presence. The fitted seasonal window runs from about June to September, with a summer peak around July. The season is moderate, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_consensus.json b/modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_consensus.json
new file mode 100644
index 0000000..e909b46
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "3.012",
+  "DECAY": "1.52",
+  "OOS_DECAY": "4.032",
+  "POST_PEAK_DECAY": "3.563",
+  "POST_PEAK_SHARPNESS": "5.208",
+  "SEASON_START": "6.125",
+  "SEASON_END": "8.56",
+  "SHARPNESS": "7.572",
+  "FORCING_PEAK": "7.475",
+  "SCORE": "0.037",
+  "SPECIES": "Gatekeeper Butterfly"
+}
diff --git a/modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_observed.csv b/modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_observed.csv
new file mode 100644
index 0000000..9d27350
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,0
+5,0
+6,8
+7,13
+8,13
+9,0
+10,0
+11,0
+12,0
diff --git a/modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_parameters.csv b/modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_parameters.csv
new file mode 100644
index 0000000..f17cbc3
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 13:25:28,gatekeeper_butterfly_observed.csv,4.233,1.539,2.988,4.562,4.763,5.77,7.81,1.462,6.43,0.1481663234775139860572932140,
+2026-05-21 13:25:28,gatekeeper_butterfly_observed.csv,2.084,0.788,7.655,2.203,6.44,5.72,7.23,13.28,6.03,0.1663984912837654390318580712,
+2026-05-21 13:25:29,gatekeeper_butterfly_observed.csv,3.477,2.512,4.227,2.263,9.424,6.49,8.23,10.147,7.22,0.05260972356834416455611096271,
+2026-05-21 13:25:29,gatekeeper_butterfly_observed.csv,3.25,0.659,6.045,6.983,4.378,6.58,7.05,2.109,6.9,0.1247282857729410423291990083,
+2026-05-21 13:25:29,gatekeeper_butterfly_observed.csv,1.971,1.484,6.217,2.698,3.083,6.28,7.66,5.931,6.57,0.1137390333478398207394745462,
+2026-05-21 13:25:30,gatekeeper_butterfly_observed.csv,1.567,0.653,4.596,4.505,2.69,6.96,7.26,13.231,7.23,0.1762434313956061366418164957,
+2026-05-21 13:25:30,gatekeeper_butterfly_observed.csv,1.17,2.941,5.705,7.339,2.641,5.15,8.97,14.253,8.14,0.05339627388855505830873444641,
+2026-05-21 13:25:30,gatekeeper_butterfly_observed.csv,2.853,2.575,4.229,5.557,8.038,6.19,7.12,2.94,6.22,0.1787635721801129455281342538,
+2026-05-21 13:25:30,gatekeeper_butterfly_observed.csv,3.038,2.792,6.31,1.803,9.324,6.32,8.49,12.039,6.85,0.0368684292833332641103463378,
+2026-05-21 13:25:31,gatekeeper_butterfly_observed.csv,1.876,2.739,4.8,1.788,8.534,6.39,7.85,12.412,7.59,0.08286901928168042872564093031,
+2026-05-21 13:25:31,gatekeeper_butterfly_observed.csv,2.505,1.898,6.581,1.669,8.626,5.66,7.98,13.419,6.59,0.09495191312869951714640964513,
+2026-05-21 13:25:31,gatekeeper_butterfly_observed.csv,2.945,1.664,6.494,5.512,3.036,6.5,8.09,5.746,7.45,0.07541659348319150201923484305,
+2026-05-21 13:25:32,gatekeeper_butterfly_observed.csv,3.109,2.299,7.273,6.654,3.91,5.84,7.65,5.901,7.43,0.1089287567024657304958490295,
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diff --git a/modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_simulated.csv b/modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_simulated.csv
new file mode 100644
index 0000000..f41cb53
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_simulated.csv
@@ -0,0 +1,123 @@
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diff --git a/modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_synthesised.csv b/modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_synthesised.csv
new file mode 100644
index 0000000..8b43189
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_synthesised.png b/modelling/data/abingdon-butterflies/seasonal/gatekeeper_butterfly_synthesised.png
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diff --git a/modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_classification.json b/modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_classification.json
new file mode 100644
index 0000000..b8a9b90
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Meadow Brown Butterfly",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "extended_summer_seasonal_presence",
+    "timing": "summer",
+    "season_width": "broad",
+    "window_shape": "moderate",
+    "post_peak_decline": "moderate",
+    "offseason_suppression": "strong",
+    "peak_alignment": "central",
+    "traits": [
+      "summer_peak",
+      "broad_season",
+      "moderate_seasonal_window",
+      "moderate_post_peak_decline",
+      "strong_offseason_suppression",
+      "central_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 4.48,
+    "season_end_month": 9.33,
+    "forcing_peak_month": 6.64,
+    "season_width_months": 4.85,
+    "season_midpoint_month": 6.905,
+    "season_start_label": "April",
+    "season_end_label": "September",
+    "forcing_peak_label": "July"
+  },
+  "parameter_evidence": {
+    "GROWTH": 3.314,
+    "DECAY": 1.524,
+    "OOS_DECAY": 4.427,
+    "POST_PEAK_DECAY": 3.26,
+    "POST_PEAK_SHARPNESS": 5.68,
+    "SEASON_START": 4.48,
+    "SEASON_END": 9.33,
+    "SHARPNESS": 5.997,
+    "FORCING_PEAK": 6.64
+  },
+  "fit": {
+    "score": 0.054
+  },
+  "warnings": [],
+  "summary": "Meadow Brown Butterfly is classified as extended summer seasonal presence. The fitted seasonal window runs from about April to September, with a summer peak around July. The season is broad, with a moderate active window, moderate post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_consensus.json b/modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_consensus.json
new file mode 100644
index 0000000..d9834f3
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "3.314",
+  "DECAY": "1.524",
+  "OOS_DECAY": "4.427",
+  "POST_PEAK_DECAY": "3.26",
+  "POST_PEAK_SHARPNESS": "5.68",
+  "SEASON_START": "4.48",
+  "SEASON_END": "9.33",
+  "SHARPNESS": "5.997",
+  "FORCING_PEAK": "6.64",
+  "SCORE": "0.054",
+  "SPECIES": "Meadow Brown Butterfly"
+}
diff --git a/modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_observed.csv b/modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_observed.csv
new file mode 100644
index 0000000..76f4ce2
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,1
+5,1
+6,15
+7,12
+8,7
+9,1
+10,0
+11,0
+12,0
diff --git a/modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_parameters.csv b/modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_parameters.csv
new file mode 100644
index 0000000..4985c64
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 13:26:25,meadow_brown_butterfly_observed.csv,2.58,1.985,7.962,5.897,2.56,4.82,8.22,4.054,5.04,0.1223598772696910279358536966,
+2026-05-21 13:26:25,meadow_brown_butterfly_observed.csv,3.4,1.345,1.617,0.612,3.86,3.76,9.09,12.135,4.69,0.1263905086605238823612929360,
+2026-05-21 13:26:25,meadow_brown_butterfly_observed.csv,2.691,2.758,5.863,6.814,4.034,4.56,9.18,14.571,5.95,0.09989290169867236386410584422,
+2026-05-21 13:26:26,meadow_brown_butterfly_observed.csv,3.881,2.437,5.618,5.837,3.923,4.88,9.13,8.799,5.24,0.1442523851600127126838189247,
+2026-05-21 13:26:26,meadow_brown_butterfly_observed.csv,2.623,0.822,5.031,3.734,8.699,3.38,9.06,1.421,4.99,0.2019838285243475383119157406,
+2026-05-21 13:26:26,meadow_brown_butterfly_observed.csv,1.278,2.138,7.385,2.0,1.741,4.52,8.94,8.549,6.31,0.06496396138205421049227631589,
+2026-05-21 13:26:26,meadow_brown_butterfly_observed.csv,1.68,0.662,2.945,3.997,1.709,4.37,9.91,8.603,5.75,0.09445151975101912579365322325,
+2026-05-21 13:26:27,meadow_brown_butterfly_observed.csv,3.572,1.85,4.433,1.338,8.567,3.41,8.02,13.848,5.14,0.2061686174461726029529414098,
+2026-05-21 13:26:27,meadow_brown_butterfly_observed.csv,4.546,2.805,3.028,7.3,5.027,3.75,9.83,2.925,5.91,0.1476815959954445218284164267,
+2026-05-21 13:26:27,meadow_brown_butterfly_observed.csv,4.797,2.227,3.2,0.584,3.413,3.65,8.2,1.185,7.22,0.06211857116861818955804837961,
+2026-05-21 13:26:27,meadow_brown_butterfly_observed.csv,2.16,1.423,5.242,3.385,1.805,4.79,8.58,10.657,5.55,0.09715972689713770252653766734,
+2026-05-21 13:26:28,meadow_brown_butterfly_observed.csv,4.247,1.148,5.613,1.875,9.75,4.34,8.23,7.176,5.78,0.07552833653427956745497719177,
+2026-05-21 13:26:28,meadow_brown_butterfly_observed.csv,1.23,0.675,2.761,1.985,4.846,4.23,9.12,12.125,5.64,0.05558914715485987039712616468,
+2026-05-21 13:26:28,meadow_brown_butterfly_observed.csv,2.222,0.954,2.522,4.358,3.512,3.84,9.77,6.802,5.14,0.1649769289288175952984603551,
+2026-05-21 13:26:29,meadow_brown_butterfly_observed.csv,4.077,2.211,3.738,1.914,9.614,3.87,9.12,9.709,5.81,0.086409511241903767178555633,
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diff --git a/modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_simulated.csv b/modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_simulated.csv
new file mode 100644
index 0000000..2a75bff
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_simulated.csv
@@ -0,0 +1,123 @@
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diff --git a/modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_simulated.png b/modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_simulated.png
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diff --git a/modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_synthesised.csv b/modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_synthesised.csv
new file mode 100644
index 0000000..3b634fb
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_synthesised.png b/modelling/data/abingdon-butterflies/seasonal/meadow_brown_butterfly_synthesised.png
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diff --git a/modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_classification.json b/modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_classification.json
new file mode 100644
index 0000000..ba0185d
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Orange Tip Butterfly",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "moderate_spring_seasonal_presence",
+    "timing": "spring",
+    "season_width": "moderate",
+    "window_shape": "moderate",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "strong",
+    "peak_alignment": "central",
+    "traits": [
+      "spring_peak",
+      "moderate_season",
+      "moderate_seasonal_window",
+      "strong_post_peak_decline",
+      "strong_offseason_suppression",
+      "central_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 3.775,
+    "season_end_month": 6.2,
+    "forcing_peak_month": 4.295,
+    "season_width_months": 2.425,
+    "season_midpoint_month": 4.9875,
+    "season_start_label": "April",
+    "season_end_label": "June",
+    "forcing_peak_label": "April"
+  },
+  "parameter_evidence": {
+    "GROWTH": 2.76,
+    "DECAY": 1.771,
+    "OOS_DECAY": 4.252,
+    "POST_PEAK_DECAY": 4.613,
+    "POST_PEAK_SHARPNESS": 5.042,
+    "SEASON_START": 3.775,
+    "SEASON_END": 6.2,
+    "SHARPNESS": 7.278,
+    "FORCING_PEAK": 4.295
+  },
+  "fit": {
+    "score": 0.038
+  },
+  "warnings": [],
+  "summary": "Orange Tip Butterfly is classified as moderate spring seasonal presence. The fitted seasonal window runs from about April to June, with a spring peak around April. The season is moderate, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_consensus.json b/modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_consensus.json
new file mode 100644
index 0000000..e52f385
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "2.76",
+  "DECAY": "1.771",
+  "OOS_DECAY": "4.252",
+  "POST_PEAK_DECAY": "4.613",
+  "POST_PEAK_SHARPNESS": "5.042",
+  "SEASON_START": "3.775",
+  "SEASON_END": "6.2",
+  "SHARPNESS": "7.278",
+  "FORCING_PEAK": "4.295",
+  "SCORE": "0.038",
+  "SPECIES": "Orange Tip Butterfly"
+}
diff --git a/modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_observed.csv b/modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_observed.csv
new file mode 100644
index 0000000..6e7154e
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,25
+5,19
+6,2
+7,0
+8,0
+9,0
+10,0
+11,0
+12,0
diff --git a/modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_parameters.csv b/modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_parameters.csv
new file mode 100644
index 0000000..a5c3c71
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
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+2026-05-21 13:27:22,orange_tip_butterfly_observed.csv,2.275,1.265,5.214,7.31,4.216,3.17,6.0,11.417,5.36,0.05383690418273586589039566846,
+2026-05-21 13:27:22,orange_tip_butterfly_observed.csv,2.43,2.211,2.283,4.47,7.076,3.67,5.11,12.126,5.09,0.05748323871939874991567591198,
+2026-05-21 13:27:23,orange_tip_butterfly_observed.csv,1.747,2.454,2.962,0.26,3.3,4.39,6.19,9.212,5.49,0.07871710721466717926507504565,
+2026-05-21 13:27:23,orange_tip_butterfly_observed.csv,2.114,1.67,3.383,3.404,7.148,3.55,6.23,11.446,5.29,0.05981700154020780335086707086,
+2026-05-21 13:27:23,orange_tip_butterfly_observed.csv,2.125,2.559,7.984,3.284,8.363,4.5,5.41,9.233,4.62,0.09608220741072268602221036820,
+2026-05-21 13:27:23,orange_tip_butterfly_observed.csv,4.554,1.475,4.342,4.029,2.536,3.01,6.62,2.242,3.95,0.06704758843888227184339701621,
+2026-05-21 13:27:24,orange_tip_butterfly_observed.csv,2.742,1.092,3.231,7.483,1.901,3.1,5.36,10.304,3.32,0.1101823346042765049150602738,
+2026-05-21 13:27:24,orange_tip_butterfly_observed.csv,4.999,2.154,5.23,4.686,8.231,3.65,6.51,6.415,3.92,0.03291025470595075788045444002,
+2026-05-21 13:27:24,orange_tip_butterfly_observed.csv,1.794,0.601,1.614,1.822,5.329,4.03,5.92,11.675,5.32,0.06509272410637034411788324949,
+2026-05-21 13:27:25,orange_tip_butterfly_observed.csv,4.882,1.619,6.086,4.433,2.389,4.02,5.93,14.233,5.29,0.04366369052146042984633254185,
+2026-05-21 13:27:25,orange_tip_butterfly_observed.csv,2.121,0.556,3.767,6.226,6.245,3.78,6.46,10.954,4.31,0.01292751759626052641769669112,
+2026-05-21 13:27:25,orange_tip_butterfly_observed.csv,1.458,1.768,7.036,0.368,3.175,4.05,6.26,5.704,5.14,0.05840133825957225148179126999,
+2026-05-21 13:27:25,orange_tip_butterfly_observed.csv,3.723,1.78,7.266,6.081,6.79,3.82,5.56,3.868,4.67,0.05535854220346959092032452434,
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+2026-05-21 13:27:26,orange_tip_butterfly_observed.csv,4.928,1.523,2.78,3.888,3.616,4.4,5.39,9.192,4.92,0.08638051210980620986027097636,
+2026-05-21 13:27:26,orange_tip_butterfly_observed.csv,1.33,1.77,5.972,1.605,2.843,4.89,5.31,1.623,5.31,0.08567028221969002075938691981,
+2026-05-21 13:27:27,orange_tip_butterfly_observed.csv,1.786,1.432,2.677,6.112,4.952,4.24,6.37,7.367,5.04,0.06351973200084067614608632567,
+2026-05-21 13:27:27,orange_tip_butterfly_observed.csv,4.224,2.834,1.031,1.192,7.74,4.62,5.05,1.828,4.75,0.05341270794014979851464868425,
+2026-05-21 13:27:27,orange_tip_butterfly_observed.csv,3.523,0.514,3.511,1.294,5.628,4.95,6.26,13.846,4.96,0.1396582721684538691209856742,
+2026-05-21 13:27:27,orange_tip_butterfly_observed.csv,1.032,2.467,2.135,0.092,1.846,3.02,6.35,8.314,4.51,0.08073383405906910913223521994,
+2026-05-21 13:27:28,orange_tip_butterfly_observed.csv,2.39,0.896,1.346,1.521,3.969,4.21,5.12,4.117,4.64,0.03868500321167522806300152911,
+2026-05-21 13:27:28,orange_tip_butterfly_observed.csv,3.12,0.643,1.239,0.627,8.816,3.11,6.66,12.104,5.11,0.1246194801266185608394841357,
+2026-05-21 13:27:28,orange_tip_butterfly_observed.csv,2.211,2.424,4.475,7.769,2.712,3.75,5.02,14.368,4.97,0.05132258461298689901689074025,
+2026-05-21 13:27:29,orange_tip_butterfly_observed.csv,4.377,2.562,6.586,4.647,4.108,3.56,6.84,10.359,4.09,0.03035756228537656560111407206,
+2026-05-21 13:27:29,orange_tip_butterfly_observed.csv,2.387,2.94,4.617,1.019,4.487,3.73,6.11,14.144,4.86,0.05028269514635546897425751916,
+2026-05-21 13:27:29,orange_tip_butterfly_observed.csv,2.945,2.915,4.87,6.398,4.515,3.46,5.51,5.995,5.34,0.04838265040824047295881686540,
+2026-05-21 13:27:29,orange_tip_butterfly_observed.csv,2.027,1.599,1.832,3.398,6.594,4.76,6.77,6.364,5.38,0.1243979384133471588019557421,
+2026-05-21 13:27:30,orange_tip_butterfly_observed.csv,3.753,2.432,5.417,4.987,4.885,4.54,5.08,4.034,5.0,0.07110825001912842290895808568,
+2026-05-21 13:27:30,orange_tip_butterfly_observed.csv,4.654,2.548,6.724,5.81,6.001,4.27,6.19,12.871,4.88,0.05650400141445646398513812906,
+2026-05-21 13:27:30,orange_tip_butterfly_observed.csv,3.678,2.444,3.793,5.939,5.597,3.06,5.18,13.449,4.2,0.08744563055284461737664942703,
+2026-05-21 13:27:30,orange_tip_butterfly_observed.csv,4.885,0.869,4.479,2.072,7.129,4.74,6.71,5.881,5.06,0.1190391689923497718163242564,
+2026-05-21 13:27:31,orange_tip_butterfly_observed.csv,1.263,2.558,2.899,5.258,7.017,4.96,5.24,8.201,5.01,0.1183553842945328341562767961,
+2026-05-21 13:27:31,orange_tip_butterfly_observed.csv,2.071,1.037,1.431,5.854,2.143,4.36,6.45,8.553,4.49,0.05727738599169372613512907427,
+2026-05-21 13:27:31,orange_tip_butterfly_observed.csv,3.749,1.82,6.133,0.56,7.606,3.02,6.55,10.844,5.02,0.07979476248601563503342886151,
+2026-05-21 13:27:32,orange_tip_butterfly_observed.csv,2.209,1.667,1.144,0.313,8.643,4.88,5.84,2.28,5.47,0.1105360011210347347002761251,
+2026-05-21 13:27:32,orange_tip_butterfly_observed.csv,1.565,1.225,3.083,6.963,4.777,3.47,6.99,7.004,3.66,0.04800824893777997965568301315,
+2026-05-21 13:27:32,orange_tip_butterfly_observed.csv,1.209,1.513,6.0,6.177,1.005,4.73,5.58,12.885,5.49,0.1144577046229691765317291129,
+2026-05-21 13:27:32,orange_tip_butterfly_observed.csv,1.111,2.144,2.071,5.65,8.232,3.53,6.19,7.683,4.87,0.04906912889984542970325046867,
+2026-05-21 13:27:33,orange_tip_butterfly_observed.csv,3.701,2.586,5.142,5.739,4.034,3.08,6.38,11.649,5.11,0.06200435790578422986484683666,
+2026-05-21 13:27:33,orange_tip_butterfly_observed.csv,4.838,0.971,7.34,6.63,8.994,3.56,6.3,1.541,3.99,0.06334682820158548577572587038,
+2026-05-21 13:27:33,orange_tip_butterfly_observed.csv,1.989,0.66,3.584,6.599,7.078,4.69,6.01,1.898,5.15,0.08273485396774816550084332856,
+2026-05-21 13:27:34,orange_tip_butterfly_observed.csv,3.14,2.31,4.536,6.129,4.687,3.69,6.9,5.378,4.52,0.02807315351933835422528470648,
+2026-05-21 13:27:34,orange_tip_butterfly_observed.csv,2.161,1.934,7.987,1.335,2.537,4.2,5.16,1.77,4.97,0.02944054483070199964206370306,
+2026-05-21 13:27:34,orange_tip_butterfly_observed.csv,1.184,1.679,3.578,5.151,2.723,3.21,6.62,8.123,5.26,0.06011173002029200966665818954,
+2026-05-21 13:27:34,orange_tip_butterfly_observed.csv,1.904,1.01,2.829,4.579,4.694,3.91,5.75,11.286,5.34,0.04582853982986039242793263861,
+2026-05-21 13:27:35,orange_tip_butterfly_observed.csv,3.718,1.576,6.986,3.141,1.601,4.45,6.6,7.583,4.94,0.09024018396201038583899650267,
+2026-05-21 13:27:35,orange_tip_butterfly_observed.csv,1.072,1.94,4.279,7.921,2.557,4.36,5.22,3.973,4.46,0.04572004810101023944848639434,
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diff --git a/modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_simulated.csv b/modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_simulated.csv
new file mode 100644
index 0000000..8b87929
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_simulated.csv
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diff --git a/modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_simulated.png b/modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_simulated.png
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diff --git a/modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_synthesised.csv b/modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_synthesised.csv
new file mode 100644
index 0000000..b608d91
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_synthesised.png b/modelling/data/abingdon-butterflies/seasonal/orange_tip_butterfly_synthesised.png
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diff --git a/modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_classification.json b/modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_classification.json
new file mode 100644
index 0000000..c0f3261
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Peacock Butterfly",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "extended_spring_seasonal_presence",
+    "timing": "spring",
+    "season_width": "broad",
+    "window_shape": "moderate",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "strong",
+    "peak_alignment": "early",
+    "traits": [
+      "spring_peak",
+      "broad_season",
+      "moderate_seasonal_window",
+      "strong_post_peak_decline",
+      "strong_offseason_suppression",
+      "early_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 2.53,
+    "season_end_month": 8.25,
+    "forcing_peak_month": 4.125,
+    "season_width_months": 5.72,
+    "season_midpoint_month": 5.39,
+    "season_start_label": "March",
+    "season_end_label": "August",
+    "forcing_peak_label": "April"
+  },
+  "parameter_evidence": {
+    "GROWTH": 3.639,
+    "DECAY": 1.88,
+    "OOS_DECAY": 4.902,
+    "POST_PEAK_DECAY": 4.002,
+    "POST_PEAK_SHARPNESS": 6.29,
+    "SEASON_START": 2.53,
+    "SEASON_END": 8.25,
+    "SHARPNESS": 7.768,
+    "FORCING_PEAK": 4.125
+  },
+  "fit": {
+    "score": 0.07
+  },
+  "warnings": [],
+  "summary": "Peacock Butterfly is classified as extended spring seasonal presence. The fitted seasonal window runs from about March to August, with a spring peak around April. The season is broad, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_consensus.json b/modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_consensus.json
new file mode 100644
index 0000000..fd0e08a
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "3.639",
+  "DECAY": "1.88",
+  "OOS_DECAY": "4.902",
+  "POST_PEAK_DECAY": "4.002",
+  "POST_PEAK_SHARPNESS": "6.29",
+  "SEASON_START": "2.53",
+  "SEASON_END": "8.25",
+  "SHARPNESS": "7.768",
+  "FORCING_PEAK": "4.125",
+  "SCORE": "0.07",
+  "SPECIES": "Peacock Butterfly"
+}
diff --git a/modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_observed.csv b/modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_observed.csv
new file mode 100644
index 0000000..5905e97
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,1
+3,3
+4,10
+5,1
+6,5
+7,3
+8,3
+9,0
+10,0
+11,0
+12,0
diff --git a/modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_parameters.csv b/modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_parameters.csv
new file mode 100644
index 0000000..42de4b2
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 13:28:18,peacock_butterfly_observed.csv,2.537,1.335,7.205,7.345,7.987,2.98,7.55,3.888,4.93,0.1436794736536575516750829547,
+2026-05-21 13:28:19,peacock_butterfly_observed.csv,2.155,1.931,2.334,4.987,6.328,1.98,8.79,2.535,5.36,0.09912984956757247531401916666,
+2026-05-21 13:28:19,peacock_butterfly_observed.csv,2.954,0.842,6.581,3.48,5.924,1.35,7.88,6.391,5.34,0.1251310494367387839916145589,
+2026-05-21 13:28:19,peacock_butterfly_observed.csv,3.813,1.278,5.228,3.501,8.381,1.88,7.25,5.415,3.34,0.1336103526180620130613766422,
+2026-05-21 13:28:20,peacock_butterfly_observed.csv,1.293,2.114,6.764,4.038,4.434,1.41,8.86,10.279,4.43,0.1038548235876459179154870581,
+2026-05-21 13:28:20,peacock_butterfly_observed.csv,3.434,0.839,1.854,4.611,6.05,1.5,7.72,5.781,3.82,0.1056370319233276597400707237,
+2026-05-21 13:28:20,peacock_butterfly_observed.csv,2.489,1.821,4.807,7.794,9.737,2.69,7.77,1.114,4.57,0.07786921823724943285489903703,
+2026-05-21 13:28:20,peacock_butterfly_observed.csv,1.648,0.975,2.252,3.037,1.219,2.18,8.42,14.638,4.53,0.0625714519876604756515536866,
+2026-05-21 13:28:21,peacock_butterfly_observed.csv,4.259,1.274,3.565,3.12,4.597,2.14,8.6,4.498,5.25,0.09649818030932872546463967524,
+2026-05-21 13:28:21,peacock_butterfly_observed.csv,4.905,1.073,6.793,4.56,2.489,1.08,8.13,4.923,2.68,0.2452626863114636808037381903,
+2026-05-21 13:28:21,peacock_butterfly_observed.csv,1.211,0.891,5.686,5.249,9.288,1.44,8.28,5.124,4.82,0.1284264568702783106770275968,
+2026-05-21 13:28:22,peacock_butterfly_observed.csv,3.021,2.504,7.649,0.241,7.704,2.15,7.48,12.099,5.38,0.1455667318173114061436603859,
+2026-05-21 13:28:22,peacock_butterfly_observed.csv,3.841,2.414,5.64,2.215,1.346,1.79,7.04,14.986,4.08,0.1467517266421233435378303256,
+2026-05-21 13:28:22,peacock_butterfly_observed.csv,1.617,1.104,2.186,7.143,3.179,1.9,7.04,11.161,4.61,0.1071947310586297073012409509,
+2026-05-21 13:28:22,peacock_butterfly_observed.csv,2.229,1.897,2.992,4.222,5.978,2.28,8.07,14.178,2.83,0.1325619772598468018939175783,
+2026-05-21 13:28:23,peacock_butterfly_observed.csv,1.25,2.435,3.341,6.663,4.265,2.74,8.84,4.667,4.93,0.06207608879208818925633406545,
+2026-05-21 13:28:23,peacock_butterfly_observed.csv,3.419,1.876,1.983,5.853,6.004,2.17,7.39,10.531,4.58,0.09175276381356375051176346396,
+2026-05-21 13:28:23,peacock_butterfly_observed.csv,4.245,2.313,5.505,1.029,2.302,2.41,7.74,1.651,3.23,0.1102235487866423400165537037,
+2026-05-21 13:28:23,peacock_butterfly_observed.csv,4.572,1.532,6.369,7.481,7.769,2.62,8.84,9.636,5.16,0.1198522822771645243444204170,
+2026-05-21 13:28:24,peacock_butterfly_observed.csv,1.332,2.736,1.315,5.504,2.698,2.64,8.23,10.596,3.0,0.1133167499378824741308496196,
+2026-05-21 13:28:24,peacock_butterfly_observed.csv,1.104,1.36,6.42,0.298,2.477,1.24,7.15,1.799,3.43,0.1315557040532119740228170833,
+2026-05-21 13:28:24,peacock_butterfly_observed.csv,4.547,1.979,3.047,2.975,5.418,2.25,7.78,5.048,4.03,0.07264479079699348618195833560,
+2026-05-21 13:28:25,peacock_butterfly_observed.csv,4.557,1.7,1.215,5.234,1.893,1.31,8.06,5.391,4.51,0.1285203416600493110351421695,
+2026-05-21 13:28:25,peacock_butterfly_observed.csv,4.869,0.553,2.313,2.322,9.072,1.9,7.12,2.147,3.42,0.08925366854195009395228537371,
+2026-05-21 13:28:25,peacock_butterfly_observed.csv,4.633,2.73,6.695,2.045,7.552,2.09,7.64,5.189,2.76,0.1254495494253471537161174512,
+2026-05-21 13:28:25,peacock_butterfly_observed.csv,2.904,2.19,7.59,0.419,4.664,1.12,8.5,13.312,4.66,0.1384958107373167048558793282,
+2026-05-21 13:28:26,peacock_butterfly_observed.csv,1.997,2.937,5.376,3.888,8.035,1.24,8.19,6.971,5.22,0.1402768906420664753652352934,
+2026-05-21 13:28:26,peacock_butterfly_observed.csv,3.375,2.619,7.063,6.531,3.179,1.37,7.5,13.028,3.6,0.1814125493898426611402942308,
+2026-05-21 13:28:26,peacock_butterfly_observed.csv,4.827,1.756,3.28,4.626,9.785,1.25,7.01,9.107,4.18,0.1499623948372446808764794006,
+2026-05-21 13:28:27,peacock_butterfly_observed.csv,3.47,2.683,2.627,5.48,9.901,1.09,8.99,13.374,4.38,0.1148980020184678439676031130,
+2026-05-21 13:28:27,peacock_butterfly_observed.csv,4.193,1.476,3.095,4.965,9.513,1.29,7.0,11.081,2.78,0.2337635718782791524555087429,
+2026-05-21 13:28:27,peacock_butterfly_observed.csv,3.059,2.537,7.147,5.619,5.005,1.64,7.63,12.954,3.91,0.1494121066569470651022026880,
+2026-05-21 13:28:27,peacock_butterfly_observed.csv,4.338,1.639,3.794,5.902,2.905,2.58,7.67,4.093,3.41,0.09854685283796298823131248173,
+2026-05-21 13:28:28,peacock_butterfly_observed.csv,4.268,2.053,6.388,6.054,1.942,2.08,7.6,3.324,4.94,0.08519295304204288986846270272,
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diff --git a/modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_simulated.csv b/modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_simulated.csv
new file mode 100644
index 0000000..3dc4e57
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_simulated.csv
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diff --git a/modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_simulated.png b/modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_simulated.png
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diff --git a/modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_synthesised.csv b/modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_synthesised.csv
new file mode 100644
index 0000000..3f2a1f4
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_synthesised.png b/modelling/data/abingdon-butterflies/seasonal/peacock_butterfly_synthesised.png
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diff --git a/modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_classification.json b/modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_classification.json
new file mode 100644
index 0000000..f83413e
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Red Admiral Butterfly",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "extended_summer_seasonal_presence",
+    "timing": "summer",
+    "season_width": "very_broad",
+    "window_shape": "moderate",
+    "post_peak_decline": "moderate",
+    "offseason_suppression": "moderate",
+    "peak_alignment": "central",
+    "traits": [
+      "summer_peak",
+      "very_broad_season",
+      "moderate_seasonal_window",
+      "moderate_post_peak_decline",
+      "moderate_offseason_suppression",
+      "central_peak_alignment"
+    ],
+    "confidence": "medium"
+  },
+  "derived_metrics": {
+    "season_start_month": 2.855,
+    "season_end_month": 11.63,
+    "forcing_peak_month": 7.62,
+    "season_width_months": 8.775,
+    "season_midpoint_month": 7.2425,
+    "season_start_label": "March",
+    "season_end_label": "December",
+    "forcing_peak_label": "August"
+  },
+  "parameter_evidence": {
+    "GROWTH": 2.76,
+    "DECAY": 1.809,
+    "OOS_DECAY": 3.538,
+    "POST_PEAK_DECAY": 2.807,
+    "POST_PEAK_SHARPNESS": 4.59,
+    "SEASON_START": 2.855,
+    "SEASON_END": 11.63,
+    "SHARPNESS": 7.073,
+    "FORCING_PEAK": 7.62
+  },
+  "fit": {
+    "score": 0.076
+  },
+  "warnings": [],
+  "summary": "Red Admiral Butterfly is classified as extended summer seasonal presence. The fitted seasonal window runs from about March to December, with a summer peak around August. The season is very_broad, with a moderate active window, moderate post-peak decline, and moderate off-season suppression."
+}
diff --git a/modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_consensus.json b/modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_consensus.json
new file mode 100644
index 0000000..f231307
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "2.76",
+  "DECAY": "1.809",
+  "OOS_DECAY": "3.538",
+  "POST_PEAK_DECAY": "2.807",
+  "POST_PEAK_SHARPNESS": "4.59",
+  "SEASON_START": "2.855",
+  "SEASON_END": "11.63",
+  "SHARPNESS": "7.073",
+  "FORCING_PEAK": "7.62",
+  "SCORE": "0.076",
+  "SPECIES": "Red Admiral Butterfly"
+}
diff --git a/modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_observed.csv b/modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_observed.csv
new file mode 100644
index 0000000..5877cbf
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,1
+4,3
+5,1
+6,3
+7,7
+8,3
+9,4
+10,4
+11,2
+12,0
diff --git a/modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_parameters.csv b/modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_parameters.csv
new file mode 100644
index 0000000..afaf165
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 13:29:15,red_admiral_butterfly_observed.csv,3.398,0.6,5.166,1.054,3.067,3.37,11.55,14.105,6.02,0.1350686687054727584233976930,
+2026-05-21 13:29:15,red_admiral_butterfly_observed.csv,2.531,2.079,1.032,3.211,3.398,3.5,10.49,5.051,6.55,0.1510051953475639451197383927,
+2026-05-21 13:29:15,red_admiral_butterfly_observed.csv,2.183,1.295,1.219,6.241,3.672,3.74,11.22,13.41,5.67,0.2809896447719309695805236523,
+2026-05-21 13:29:16,red_admiral_butterfly_observed.csv,3.178,0.535,3.485,0.153,5.371,2.66,11.65,4.742,6.67,0.05997777137336024127139387872,
+2026-05-21 13:29:16,red_admiral_butterfly_observed.csv,1.058,1.025,5.729,3.357,9.974,3.64,10.31,12.936,8.26,0.1304946541263541948697823788,
+2026-05-21 13:29:16,red_admiral_butterfly_observed.csv,2.793,2.586,2.756,5.34,7.997,3.82,11.03,3.321,7.66,0.1142167092422511566180576455,
+2026-05-21 13:29:17,red_admiral_butterfly_observed.csv,3.332,1.88,6.204,5.92,1.971,2.61,10.79,11.607,8.24,0.08012987561268832834816993201,
+2026-05-21 13:29:17,red_admiral_butterfly_observed.csv,2.121,0.712,2.293,4.64,7.73,2.93,10.54,3.013,7.37,0.1144589869653865158413283486,
+2026-05-21 13:29:17,red_admiral_butterfly_observed.csv,1.335,2.046,6.774,3.242,9.965,3.36,11.03,1.073,7.29,0.08397073613765197052827487244,
+2026-05-21 13:29:17,red_admiral_butterfly_observed.csv,3.817,1.353,3.649,1.614,4.014,3.44,11.18,1.837,6.67,0.1150777400514374380033229214,
+2026-05-21 13:29:18,red_admiral_butterfly_observed.csv,2.185,1.281,6.936,7.217,6.247,3.54,11.47,5.881,7.72,0.1163011051122280205114676085,
+2026-05-21 13:29:18,red_admiral_butterfly_observed.csv,2.661,2.473,6.273,4.898,7.191,2.8,11.75,1.22,5.99,0.2030186121124704766242346937,
+2026-05-21 13:29:18,red_admiral_butterfly_observed.csv,3.888,2.887,4.646,5.01,7.572,2.54,11.23,2.024,7.8,0.09049921120623691318154206821,
+2026-05-21 13:29:19,red_admiral_butterfly_observed.csv,4.535,1.304,3.595,4.295,2.399,2.4,11.4,1.118,8.34,0.07834419329472967039266061980,
+2026-05-21 13:29:19,red_admiral_butterfly_observed.csv,1.454,2.542,4.559,3.66,6.052,3.01,10.66,1.527,5.68,0.2546534449761547265709823129,
+2026-05-21 13:29:19,red_admiral_butterfly_observed.csv,2.663,1.675,2.669,5.839,4.415,2.99,11.18,3.995,7.79,0.08942927926863089257550635393,
+2026-05-21 13:29:19,red_admiral_butterfly_observed.csv,3.524,1.115,5.044,1.034,1.291,2.0,11.21,14.625,5.98,0.1898089426195133304088821211,
+2026-05-21 13:29:20,red_admiral_butterfly_observed.csv,1.051,0.525,2.405,5.766,9.446,2.51,10.68,11.028,6.21,0.2093162040217527615298841345,
+2026-05-21 13:29:20,red_admiral_butterfly_observed.csv,4.636,2.074,7.101,4.13,6.741,2.05,10.72,14.621,5.58,0.3014061567714605793862221932,
+2026-05-21 13:29:20,red_admiral_butterfly_observed.csv,1.876,1.084,7.633,4.754,7.298,3.45,10.32,1.099,8.13,0.1121477535261712784682931595,
+2026-05-21 13:29:21,red_admiral_butterfly_observed.csv,1.726,2.468,4.438,3.434,5.457,2.92,11.57,5.506,7.77,0.05985203706887298731538210119,
+2026-05-21 13:29:21,red_admiral_butterfly_observed.csv,3.501,2.34,2.481,6.667,2.986,3.82,11.71,6.061,6.99,0.1606002923169252796325686395,
+2026-05-21 13:29:21,red_admiral_butterfly_observed.csv,4.258,1.885,3.056,0.602,3.217,2.61,10.03,14.858,7.09,0.1078487348596287516427894176,
+2026-05-21 13:29:21,red_admiral_butterfly_observed.csv,1.536,2.271,1.392,1.629,9.816,2.95,10.01,9.941,7.94,0.1158670270480946357707642472,
+2026-05-21 13:29:22,red_admiral_butterfly_observed.csv,4.274,1.761,1.395,1.788,6.61,2.11,11.83,7.047,6.36,0.1502489273920182439223010215,
+2026-05-21 13:29:22,red_admiral_butterfly_observed.csv,3.651,1.614,4.937,2.909,1.127,2.02,10.03,3.294,5.72,0.2768196905539349397904880405,
+2026-05-21 13:29:22,red_admiral_butterfly_observed.csv,2.054,0.798,6.53,3.3,2.842,3.36,11.7,1.398,6.05,0.1574961992995187864835352229,
+2026-05-21 13:29:22,red_admiral_butterfly_observed.csv,2.581,2.721,4.792,7.215,7.43,2.16,11.17,14.031,7.62,0.09299877252965383270245487691,
+2026-05-21 13:29:23,red_admiral_butterfly_observed.csv,3.063,1.511,5.686,5.331,7.25,3.84,10.94,13.386,7.16,0.1222174452099130623612616667,
+2026-05-21 13:29:23,red_admiral_butterfly_observed.csv,2.496,0.766,1.86,2.072,3.483,3.46,11.94,11.315,7.43,0.07708419836973819569051998290,
+2026-05-21 13:29:23,red_admiral_butterfly_observed.csv,2.43,0.848,2.988,2.461,4.484,2.06,10.5,11.309,7.75,0.08452803363545959909251762107,
+2026-05-21 13:29:24,red_admiral_butterfly_observed.csv,3.02,1.032,4.26,6.261,9.136,2.22,10.49,2.148,5.65,0.3186542160598183576618285986,
+2026-05-21 13:29:24,red_admiral_butterfly_observed.csv,4.287,0.926,2.737,5.639,7.442,3.04,10.23,3.542,7.64,0.1411652437464944829625924567,
+2026-05-21 13:29:24,red_admiral_butterfly_observed.csv,1.867,0.934,3.233,1.03,3.822,3.18,11.9,1.406,8.44,0.09209119994739309438932397958,
+2026-05-21 13:29:24,red_admiral_butterfly_observed.csv,4.342,0.59,5.074,5.121,9.714,3.97,11.32,1.199,6.56,0.1437271179215649893457087349,
+2026-05-21 13:29:25,red_admiral_butterfly_observed.csv,3.609,2.909,1.77,4.569,2.085,2.54,11.48,4.761,7.21,0.1036396625743708797350141327,
+2026-05-21 13:29:25,red_admiral_butterfly_observed.csv,4.618,2.863,4.447,1.335,8.489,2.9,11.68,8.737,5.85,0.1780117514694703610400821563,
+2026-05-21 13:29:25,red_admiral_butterfly_observed.csv,1.556,1.883,6.771,3.054,1.8,3.0,11.66,8.325,6.94,0.1114746554574902068249409354,
+2026-05-21 13:29:26,red_admiral_butterfly_observed.csv,1.251,1.066,2.641,0.929,1.462,2.06,11.27,6.459,7.89,0.07293225329269184575670506424,
+2026-05-21 13:29:26,red_admiral_butterfly_observed.csv,2.41,2.705,5.895,1.447,8.601,2.96,11.01,7.22,7.53,0.08402379063574025748148474276,
+2026-05-21 13:29:26,red_admiral_butterfly_observed.csv,1.18,2.496,1.78,3.444,5.263,3.96,10.26,8.954,7.22,0.1233606699994103284289116384,
+2026-05-21 13:29:26,red_admiral_butterfly_observed.csv,2.375,0.852,7.506,3.018,5.853,2.42,10.94,12.399,6.92,0.1003863039462509383292649938,
+2026-05-21 13:29:27,red_admiral_butterfly_observed.csv,3.233,2.26,7.132,5.577,9.895,2.85,11.8,13.646,5.85,0.2667994402751424438966782074,
+2026-05-21 13:29:27,red_admiral_butterfly_observed.csv,1.949,2.469,1.421,3.122,4.848,3.26,10.76,12.222,8.16,0.1216527257129176102394827615,
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diff --git a/modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_simulated.csv b/modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_simulated.csv
new file mode 100644
index 0000000..3beb852
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_simulated.csv
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diff --git a/modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_simulated.png b/modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_simulated.png
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diff --git a/modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_synthesised.csv b/modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_synthesised.csv
new file mode 100644
index 0000000..aa332fc
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
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+11,2,0.16137813,0.5914723807903882
+12,0,0.00373882206,0.01370328175930545
diff --git a/modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_synthesised.png b/modelling/data/abingdon-butterflies/seasonal/red_admiral_butterfly_synthesised.png
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diff --git a/modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_classification.json b/modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_classification.json
new file mode 100644
index 0000000..df4a48d
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Speckled Wood Butterfly",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "extended_summer_seasonal_presence",
+    "timing": "summer",
+    "season_width": "very_broad",
+    "window_shape": "moderate",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "strong",
+    "peak_alignment": "late",
+    "traits": [
+      "summer_peak",
+      "very_broad_season",
+      "moderate_seasonal_window",
+      "strong_post_peak_decline",
+      "strong_offseason_suppression",
+      "late_peak_alignment"
+    ],
+    "confidence": "medium"
+  },
+  "derived_metrics": {
+    "season_start_month": 3.595,
+    "season_end_month": 9.77,
+    "forcing_peak_month": 8.385,
+    "season_width_months": 6.175,
+    "season_midpoint_month": 6.6825,
+    "season_start_label": "April",
+    "season_end_label": "October",
+    "forcing_peak_label": "August"
+  },
+  "parameter_evidence": {
+    "GROWTH": 2.99,
+    "DECAY": 1.821,
+    "OOS_DECAY": 5.118,
+    "POST_PEAK_DECAY": 4.477,
+    "POST_PEAK_SHARPNESS": 6.764,
+    "SEASON_START": 3.595,
+    "SEASON_END": 9.77,
+    "SHARPNESS": 6.321,
+    "FORCING_PEAK": 8.385
+  },
+  "fit": {
+    "score": 0.09
+  },
+  "warnings": [],
+  "summary": "Speckled Wood Butterfly is classified as extended summer seasonal presence. The fitted seasonal window runs from about April to October, with a summer peak around August. The season is very_broad, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_consensus.json b/modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_consensus.json
new file mode 100644
index 0000000..24a740a
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "2.99",
+  "DECAY": "1.821",
+  "OOS_DECAY": "5.118",
+  "POST_PEAK_DECAY": "4.477",
+  "POST_PEAK_SHARPNESS": "6.764",
+  "SEASON_START": "3.595",
+  "SEASON_END": "9.77",
+  "SHARPNESS": "6.321",
+  "FORCING_PEAK": "8.385",
+  "SCORE": "0.09",
+  "SPECIES": "Speckled Wood Butterfly"
+}
diff --git a/modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_observed.csv b/modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_observed.csv
new file mode 100644
index 0000000..e1ce1c8
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,5
+5,5
+6,5
+7,1
+8,9
+9,2
+10,1
+11,0
+12,0
diff --git a/modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_parameters.csv b/modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_parameters.csv
new file mode 100644
index 0000000..0d59167
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 13:30:12,speckled_wood_butterfly_observed.csv,3.381,2.33,4.853,4.902,8.676,4.58,9.16,9.619,9.06,0.1129204562509424290572761094,
+2026-05-21 13:30:12,speckled_wood_butterfly_observed.csv,2.148,1.439,5.545,7.626,6.376,4.53,9.57,3.81,8.42,0.1214575828788049460971581421,
+2026-05-21 13:30:12,speckled_wood_butterfly_observed.csv,1.459,1.817,5.856,5.762,8.408,3.55,9.81,7.364,7.69,0.1170807694098118774999051960,
+2026-05-21 13:30:13,speckled_wood_butterfly_observed.csv,3.258,1.773,5.929,7.419,7.751,4.8,10.83,14.563,7.08,0.1755794478449929630901176324,
+2026-05-21 13:30:13,speckled_wood_butterfly_observed.csv,4.088,1.606,1.319,4.803,4.304,4.35,10.55,7.743,7.8,0.1059312639257519918428040175,
+2026-05-21 13:30:13,speckled_wood_butterfly_observed.csv,4.085,0.874,4.848,4.977,4.915,3.62,10.43,9.852,7.39,0.1136515784621640164100926708,
+2026-05-21 13:30:14,speckled_wood_butterfly_observed.csv,4.812,1.09,3.882,0.169,2.888,3.61,9.56,7.287,8.91,0.1032643495383358000705384060,
+2026-05-21 13:30:14,speckled_wood_butterfly_observed.csv,2.992,2.057,3.396,4.624,9.447,3.05,9.81,6.951,7.67,0.1366868438786911026954140982,
+2026-05-21 13:30:14,speckled_wood_butterfly_observed.csv,4.869,0.654,7.094,6.326,9.456,3.94,10.92,7.916,8.2,0.06668958809798276958061374229,
+2026-05-21 13:30:14,speckled_wood_butterfly_observed.csv,4.06,1.162,2.574,6.878,2.376,3.4,10.62,14.927,8.54,0.0768563797842504617111621182,
+2026-05-21 13:30:15,speckled_wood_butterfly_observed.csv,1.445,2.285,2.494,6.443,7.404,3.38,9.32,8.529,9.16,0.09324048464746699443779647475,
+2026-05-21 13:30:15,speckled_wood_butterfly_observed.csv,2.319,2.195,7.888,6.303,8.646,3.33,9.76,3.359,8.8,0.09803705695225535968793148149,
+2026-05-21 13:30:15,speckled_wood_butterfly_observed.csv,4.603,2.45,2.015,5.849,1.025,3.37,10.16,3.504,6.62,0.1663947995092319210723043247,
+2026-05-21 13:30:16,speckled_wood_butterfly_observed.csv,4.826,0.732,5.88,0.971,1.815,4.63,10.64,4.527,8.63,0.1438472806975035696248663238,
+2026-05-21 13:30:16,speckled_wood_butterfly_observed.csv,4.508,1.553,7.578,0.774,7.63,4.61,9.57,3.923,9.38,0.1235890826810283632831784524,
+2026-05-21 13:30:16,speckled_wood_butterfly_observed.csv,4.343,0.732,6.815,0.465,7.009,4.46,10.63,1.98,8.72,0.1293513479903967682987037130,
+2026-05-21 13:30:16,speckled_wood_butterfly_observed.csv,4.813,2.974,6.204,4.222,7.361,4.45,9.9,10.415,7.07,0.1539605399488223373949275767,
+2026-05-21 13:30:17,speckled_wood_butterfly_observed.csv,1.042,0.848,7.153,6.759,9.843,3.05,10.91,14.417,6.82,0.1897225892325431669970160313,
+2026-05-21 13:30:17,speckled_wood_butterfly_observed.csv,3.344,2.194,6.723,7.793,3.157,4.46,10.02,14.619,9.23,0.1259591703262914641972323160,
+2026-05-21 13:30:17,speckled_wood_butterfly_observed.csv,2.631,1.564,6.686,3.207,2.931,3.63,9.43,2.659,7.11,0.1431800573901654365958573389,
+2026-05-21 13:30:17,speckled_wood_butterfly_observed.csv,2.077,2.845,2.773,1.382,3.015,3.45,9.51,2.879,7.85,0.1205600777758191328091970185,
+2026-05-21 13:30:18,speckled_wood_butterfly_observed.csv,3.158,2.406,2.921,6.773,8.367,3.95,9.02,4.506,8.75,0.09298851565045588097186575656,
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diff --git a/modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_simulated.csv b/modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_simulated.csv
new file mode 100644
index 0000000..38385fb
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_simulated.csv
@@ -0,0 +1,123 @@
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diff --git a/modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_simulated.png b/modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_simulated.png
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diff --git a/modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_synthesised.csv b/modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_synthesised.csv
new file mode 100644
index 0000000..b50b20a
--- /dev/null
+++ b/modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_synthesised.png b/modelling/data/abingdon-butterflies/seasonal/speckled_wood_butterfly_synthesised.png
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HcmV?d00001


From af3cbafaf52bc7128f7534d59b70be73b14970fe Mon Sep 17 00:00:00 2001
From: Dave Walker <david.walker5@icloud.com>
Date: Fri, 22 May 2026 07:17:15 +0100
Subject: [PATCH 3/3] Added all Abingdon flowers with sufficient data to model

---
 .../analysis/cluster_analysis.json            |  3542 ++++
 .../analysis/cluster_dendrogram.png           |   Bin 0 -> 208394 bytes
 .../analysis/cluster_summary.txt              |   196 +
 .../analysis/feature_matrix.json              |  1686 ++
 .../analysis/species_similarity.json          | 15668 ++++++++++++++++
 .../analysis/species_similarity.txt           |   280 +
 .../analysis/species_similarity_heatmap.png   |   Bin 0 -> 825820 bytes
 .../common_cleavers_classification.json       |   105 +
 .../resident/common_cleavers_consensus.json   |    42 +
 .../resident/common_cleavers_observed.csv     |    13 +
 .../resident/common_cleavers_parameters.csv   |   201 +
 .../resident/common_cleavers_simulated.csv    |   123 +
 .../resident/common_cleavers_simulated.png    |   Bin 0 -> 32731 bytes
 .../resident/common_cleavers_synthesised.csv  |    13 +
 .../resident/common_cleavers_synthesised.png  |   Bin 0 -> 77863 bytes
 .../resident/daisy_classification.json        |   105 +
 .../resident/daisy_consensus.json             |    42 +
 .../resident/daisy_observed.csv               |    13 +
 .../resident/daisy_parameters.csv             |   201 +
 .../resident/daisy_simulated.csv              |   123 +
 .../resident/daisy_simulated.png              |   Bin 0 -> 32196 bytes
 .../resident/daisy_synthesised.csv            |    13 +
 .../resident/daisy_synthesised.png            |   Bin 0 -> 76069 bytes
 .../resident/dandelion_classification.json    |   105 +
 .../resident/dandelion_consensus.json         |    42 +
 .../resident/dandelion_observed.csv           |    13 +
 .../resident/dandelion_parameters.csv         |   201 +
 .../resident/dandelion_simulated.csv          |   123 +
 .../resident/dandelion_simulated.png          |   Bin 0 -> 32221 bytes
 .../resident/dandelion_synthesised.csv        |    13 +
 .../resident/dandelion_synthesised.png        |   Bin 0 -> 79114 bytes
 .../germander_speedwell_classification.json   |   105 +
 .../germander_speedwell_consensus.json        |    42 +
 .../resident/germander_speedwell_observed.csv |    13 +
 .../germander_speedwell_parameters.csv        |   201 +
 .../germander_speedwell_simulated.csv         |   123 +
 .../germander_speedwell_simulated.png         |   Bin 0 -> 33218 bytes
 .../germander_speedwell_synthesised.csv       |    13 +
 .../germander_speedwell_synthesised.png       |   Bin 0 -> 77849 bytes
 .../resident/nettle_classification.json       |   105 +
 .../resident/nettle_consensus.json            |    42 +
 .../resident/nettle_observed.csv              |    13 +
 .../resident/nettle_parameters.csv            |   201 +
 .../resident/nettle_simulated.csv             |   123 +
 .../resident/nettle_simulated.png             |   Bin 0 -> 32055 bytes
 .../resident/nettle_synthesised.csv           |    13 +
 .../resident/nettle_synthesised.png           |   Bin 0 -> 77307 bytes
 .../shepherds_purse_classification.json       |   105 +
 .../resident/shepherds_purse_consensus.json   |    42 +
 .../resident/shepherds_purse_observed.csv     |    13 +
 .../resident/shepherds_purse_parameters.csv   |   201 +
 .../resident/shepherds_purse_simulated.csv    |   123 +
 .../resident/shepherds_purse_simulated.png    |   Bin 0 -> 32812 bytes
 .../resident/shepherds_purse_synthesised.csv  |    13 +
 .../resident/shepherds_purse_synthesised.png  |   Bin 0 -> 77533 bytes
 .../seasonal/bluebell_classification.json     |    49 +
 .../seasonal/bluebell_consensus.json          |    13 +
 .../seasonal/bluebell_observed.csv            |    13 +
 .../seasonal/bluebell_parameters.csv          |   201 +
 .../seasonal/bluebell_simulated.csv           |   123 +
 .../seasonal/bluebell_simulated.png           |   Bin 0 -> 26804 bytes
 .../seasonal/bluebell_synthesised.csv         |    13 +
 .../seasonal/bluebell_synthesised.png         |   Bin 0 -> 57827 bytes
 .../seasonal/buttercup_classification.json    |    49 +
 .../seasonal/buttercup_consensus.json         |    13 +
 .../seasonal/buttercup_observed.csv           |    13 +
 .../seasonal/buttercup_parameters.csv         |   201 +
 .../seasonal/buttercup_simulated.csv          |   123 +
 .../seasonal/buttercup_simulated.png          |   Bin 0 -> 30499 bytes
 .../seasonal/buttercup_synthesised.csv        |    13 +
 .../seasonal/buttercup_synthesised.png        |   Bin 0 -> 77888 bytes
 .../common_comfrey_classification.json        |    49 +
 .../seasonal/common_comfrey_consensus.json    |    13 +
 .../seasonal/common_comfrey_observed.csv      |    13 +
 .../seasonal/common_comfrey_parameters.csv    |   201 +
 .../seasonal/common_comfrey_simulated.csv     |   123 +
 .../seasonal/common_comfrey_simulated.png     |   Bin 0 -> 30493 bytes
 .../seasonal/common_comfrey_synthesised.csv   |    13 +
 .../seasonal/common_comfrey_synthesised.png   |   Bin 0 -> 75342 bytes
 .../seasonal/common_poppy_classification.json |    49 +
 .../seasonal/common_poppy_consensus.json      |    13 +
 .../seasonal/common_poppy_observed.csv        |    13 +
 .../seasonal/common_poppy_parameters.csv      |   201 +
 .../seasonal/common_poppy_simulated.csv       |   123 +
 .../seasonal/common_poppy_simulated.png       |   Bin 0 -> 30182 bytes
 .../seasonal/common_poppy_synthesised.csv     |    13 +
 .../seasonal/common_poppy_synthesised.png     |   Bin 0 -> 73748 bytes
 .../seasonal/common_vetch_classification.json |    49 +
 .../seasonal/common_vetch_consensus.json      |    13 +
 .../seasonal/common_vetch_observed.csv        |    13 +
 .../seasonal/common_vetch_parameters.csv      |   201 +
 .../seasonal/common_vetch_simulated.csv       |   123 +
 .../seasonal/common_vetch_simulated.png       |   Bin 0 -> 28436 bytes
 .../seasonal/common_vetch_synthesised.csv     |    13 +
 .../seasonal/common_vetch_synthesised.png     |   Bin 0 -> 64389 bytes
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 create mode 100644 modelling/data/abingdon-flowers/seasonal/doves_foot_cranesbill_observed.csv
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 create mode 100644 modelling/data/abingdon-flowers/seasonal/doves_foot_cranesbill_simulated.png
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 create mode 100644 modelling/data/abingdon-flowers/seasonal/garlic_mustard_synthesised.png
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 create mode 100644 modelling/data/abingdon-flowers/seasonal/green_alkanet_classification.json
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 create mode 100644 modelling/data/abingdon-flowers/seasonal/horsetail_classification.json
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 create mode 100644 modelling/data/abingdon-flowers/seasonal/lesser_celandine_classification.json
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 create mode 100644 modelling/data/abingdon-flowers/seasonal/lesser_celandine_synthesised.png
 create mode 100644 modelling/data/abingdon-flowers/seasonal/oxeye_daisy_classification.json
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 create mode 100644 modelling/data/abingdon-flowers/seasonal/red_campion_classification.json
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 create mode 100644 modelling/data/abingdon-flowers/seasonal/red_dead_nettle_classification.json
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 create mode 100644 modelling/data/abingdon-flowers/seasonal/rosebay_willowherb_synthesised.png
 create mode 100644 modelling/data/abingdon-flowers/seasonal/snowdrop_classification.json
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 create mode 100644 modelling/data/abingdon-flowers/seasonal/teasel_classification.json
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diff --git a/modelling/data/abingdon-flowers/analysis/cluster_analysis.json b/modelling/data/abingdon-flowers/analysis/cluster_analysis.json
new file mode 100644
index 0000000..1ff6d9f
--- /dev/null
+++ b/modelling/data/abingdon-flowers/analysis/cluster_analysis.json
@@ -0,0 +1,3542 @@
+{
+  "schema_version": "species-similarity-clusters/v2",
+  "created_utc": "2026-05-21T14:39:35.878230+00:00",
+  "source_similarity_schema_version": "species-similarity/v1",
+  "source_feature_schema_version": "species-feature-table/v1",
+  "n_species": 35,
+  "n_clusters": 8,
+  "method": {
+    "description": "Hierarchical clustering over pairwise species similarity, followed by cluster-level summaries from the species feature matrix.",
+    "linkage_method": "average",
+    "cluster_cut": {
+      "criterion": "maxclust",
+      "n_clusters_requested": 8
+    },
+    "distance_definition": "distance = 1 - similarity",
+    "cluster_caveat": "Clusters should be interpreted as exploratory seasonal assemblages rather than fixed ecological categories."
+  },
+  "species_order": [
+    "Snowberry",
+    "Nettle",
+    "Daisy",
+    "Shepherds Purse",
+    "Dandelion",
+    "Common Cleavers",
+    "Germander Speedwell",
+    "Snowdrop",
+    "Winter Aconite",
+    "Buttercup",
+    "Red Dead Nettle",
+    "Doves Foot Cranesbill",
+    "Green Alkanet",
+    "Honeysuckle",
+    "Red Campion",
+    "Common Comfrey",
+    "Oxeye Daisy",
+    "Dog Rose",
+    "Teasel",
+    "Red Clover",
+    "White Campion",
+    "Cuckoo Pint",
+    "Common Poppy",
+    "Cornflower",
+    "Horsetail",
+    "Rosebay Willowherb",
+    "Goats Beard",
+    "White Clover",
+    "Common Vetch",
+    "Cow Parsley",
+    "Lesser Celandine",
+    "Cowslip",
+    "Garlic Mustard",
+    "Bluebell",
+    "Yellow Flag Iris"
+  ],
+  "linkage": {
+    "format": "scipy.cluster.hierarchy.linkage",
+    "columns": [
+      "left_child",
+      "right_child",
+      "distance",
+      "n_leaves"
+    ],
+    "node_id_convention": "Leaf nodes are 0..n_species-1 in species_input_order; internal nodes are n_species..2*n_species-2 in linkage row order.",
+    "species_input_order": [
+      "Common Cleavers",
+      "Daisy",
+      "Dandelion",
+      "Germander Speedwell",
+      "Nettle",
+      "Shepherds Purse",
+      "Bluebell",
+      "Buttercup",
+      "Common Comfrey",
+      "Common Poppy",
+      "Common Vetch",
+      "Cornflower",
+      "Cow Parsley",
+      "Cowslip",
+      "Cuckoo Pint",
+      "Dog Rose",
+      "Doves Foot Cranesbill",
+      "Garlic Mustard",
+      "Goats Beard",
+      "Green Alkanet",
+      "Honeysuckle",
+      "Horsetail",
+      "Lesser Celandine",
+      "Oxeye Daisy",
+      "Red Campion",
+      "Red Clover",
+      "Red Dead Nettle",
+      "Rosebay Willowherb",
+      "Snowdrop",
+      "Teasel",
+      "White Campion",
+      "White Clover",
+      "Winter Aconite",
+      "Yellow Flag Iris",
+      "Snowberry"
+    ],
+    "leaf_order_indices": [
+      34,
+      4,
+      1,
+      5,
+      2,
+      0,
+      3,
+      28,
+      32,
+      7,
+      26,
+      16,
+      19,
+      20,
+      24,
+      8,
+      23,
+      15,
+      29,
+      25,
+      30,
+      14,
+      9,
+      11,
+      21,
+      27,
+      18,
+      31,
+      10,
+      12,
+      22,
+      13,
+      17,
+      6,
+      33
+    ],
+    "leaf_order_species": [
+      "Snowberry",
+      "Nettle",
+      "Daisy",
+      "Shepherds Purse",
+      "Dandelion",
+      "Common Cleavers",
+      "Germander Speedwell",
+      "Snowdrop",
+      "Winter Aconite",
+      "Buttercup",
+      "Red Dead Nettle",
+      "Doves Foot Cranesbill",
+      "Green Alkanet",
+      "Honeysuckle",
+      "Red Campion",
+      "Common Comfrey",
+      "Oxeye Daisy",
+      "Dog Rose",
+      "Teasel",
+      "Red Clover",
+      "White Campion",
+      "Cuckoo Pint",
+      "Common Poppy",
+      "Cornflower",
+      "Horsetail",
+      "Rosebay Willowherb",
+      "Goats Beard",
+      "White Clover",
+      "Common Vetch",
+      "Cow Parsley",
+      "Lesser Celandine",
+      "Cowslip",
+      "Garlic Mustard",
+      "Bluebell",
+      "Yellow Flag Iris"
+    ],
+    "matrix": [
+      [
+        10,
+        12,
+        0.027143,
+        2
+      ],
+      [
+        20,
+        24,
+        0.053661,
+        2
+      ],
+      [
+        8,
+        23,
+        0.054805,
+        2
+      ],
+      [
+        13,
+        17,
+        0.06085,
+        2
+      ],
+      [
+        15,
+        29,
+        0.065059,
+        2
+      ],
+      [
+        25,
+        30,
+        0.110508,
+        2
+      ],
+      [
+        36,
+        37,
+        0.113214,
+        4
+      ],
+      [
+        1,
+        5,
+        0.136198,
+        2
+      ],
+      [
+        19,
+        41,
+        0.141749,
+        5
+      ],
+      [
+        22,
+        38,
+        0.145427,
+        3
+      ],
+      [
+        18,
+        31,
+        0.147072,
+        2
+      ],
+      [
+        7,
+        26,
+        0.147229,
+        2
+      ],
+      [
+        28,
+        32,
+        0.149198,
+        2
+      ],
+      [
+        39,
+        40,
+        0.154347,
+        4
+      ],
+      [
+        9,
+        11,
+        0.158499,
+        2
+      ],
+      [
+        0,
+        3,
+        0.158981,
+        2
+      ],
+      [
+        4,
+        42,
+        0.164108,
+        3
+      ],
+      [
+        16,
+        43,
+        0.16584,
+        6
+      ],
+      [
+        35,
+        44,
+        0.179603,
+        5
+      ],
+      [
+        14,
+        49,
+        0.18082,
+        3
+      ],
+      [
+        6,
+        33,
+        0.189905,
+        2
+      ],
+      [
+        27,
+        45,
+        0.21623,
+        3
+      ],
+      [
+        46,
+        52,
+        0.21785,
+        8
+      ],
+      [
+        48,
+        54,
+        0.236214,
+        7
+      ],
+      [
+        2,
+        50,
+        0.243087,
+        3
+      ],
+      [
+        21,
+        56,
+        0.264581,
+        4
+      ],
+      [
+        51,
+        59,
+        0.285703,
+        6
+      ],
+      [
+        53,
+        55,
+        0.303144,
+        7
+      ],
+      [
+        57,
+        58,
+        0.303546,
+        15
+      ],
+      [
+        60,
+        62,
+        0.380538,
+        11
+      ],
+      [
+        63,
+        64,
+        0.436439,
+        26
+      ],
+      [
+        47,
+        65,
+        0.568467,
+        28
+      ],
+      [
+        61,
+        66,
+        0.601725,
+        34
+      ],
+      [
+        34,
+        67,
+        0.669434,
+        35
+      ]
+    ],
+    "merges": [
+      {
+        "node_id": 35,
+        "left_child": 10,
+        "right_child": 12,
+        "distance": 0.027143,
+        "n_leaves": 2,
+        "species": [
+          "Common Vetch",
+          "Cow Parsley"
+        ],
+        "left_species": [
+          "Common Vetch"
+        ],
+        "right_species": [
+          "Cow Parsley"
+        ]
+      },
+      {
+        "node_id": 36,
+        "left_child": 20,
+        "right_child": 24,
+        "distance": 0.053661,
+        "n_leaves": 2,
+        "species": [
+          "Honeysuckle",
+          "Red Campion"
+        ],
+        "left_species": [
+          "Honeysuckle"
+        ],
+        "right_species": [
+          "Red Campion"
+        ]
+      },
+      {
+        "node_id": 37,
+        "left_child": 8,
+        "right_child": 23,
+        "distance": 0.054805,
+        "n_leaves": 2,
+        "species": [
+          "Common Comfrey",
+          "Oxeye Daisy"
+        ],
+        "left_species": [
+          "Common Comfrey"
+        ],
+        "right_species": [
+          "Oxeye Daisy"
+        ]
+      },
+      {
+        "node_id": 38,
+        "left_child": 13,
+        "right_child": 17,
+        "distance": 0.06085,
+        "n_leaves": 2,
+        "species": [
+          "Cowslip",
+          "Garlic Mustard"
+        ],
+        "left_species": [
+          "Cowslip"
+        ],
+        "right_species": [
+          "Garlic Mustard"
+        ]
+      },
+      {
+        "node_id": 39,
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+    "Red Clover": 5,
+    "Red Dead Nettle": 4,
+    "Rosebay Willowherb": 6,
+    "Snowdrop": 3,
+    "Teasel": 5,
+    "White Campion": 5,
+    "White Clover": 6,
+    "Winter Aconite": 3,
+    "Yellow Flag Iris": 8,
+    "Snowberry": 1
+  },
+  "clusters": [
+    {
+      "cluster_id": 1,
+      "n_species": 1,
+      "species": [
+        "Snowberry"
+      ],
+      "description": "Single-species cluster containing Snowberry, mainly representing winter visitor with autumn arrival component. The defining pattern is a winter peak around September, a moderate autumn component, moderate summer suppression, and balanced response dynamics. Its defining traits include year wrapping winter presence, atypical winter peak, and moderate autumn component. Compared with the full species set, trough month is lower than the whole-set average and autumn to winter weight ratio is higher than the whole-set average.",
+      "dominant_model_family": "winter_presence",
+      "dominant_primary_class": "winter_visitor_with_autumn_arrival_component",
+      "numeric_summary": {
+        "peak_month": {
+          "n": 1,
+          "mean": 9.0,
+          "min": 9.0,
+          "max": 9.0
+        },
+        "trough_month": {
+          "n": 1,
+          "mean": 3.0,
+          "min": 3.0,
+          "max": 3.0
+        },
+        "autumn_to_winter_weight_ratio": {
+          "n": 1,
+          "mean": 0.452991,
+          "min": 0.452991,
+          "max": 0.452991
+        },
+        "decay_to_growth_ratio": {
+          "n": 1,
+          "mean": 1.409756,
+          "min": 1.409756,
+          "max": 1.409756
+        },
+        "active_month_count_ge_0_10": {
+          "n": 1,
+          "mean": 6.0,
+          "min": 6.0,
+          "max": 6.0
+        },
+        "fit_score": {
+          "n": 1,
+          "mean": 0.145,
+          "min": 0.145,
+          "max": 0.145
+        }
+      },
+      "categorical_summary": {
+        "model_family": {
+          "dominant": "winter_presence",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "winter_presence",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "primary_class": {
+          "dominant": "winter_visitor_with_autumn_arrival_component",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "winter_visitor_with_autumn_arrival_component",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "confidence": {
+          "dominant": "medium",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "medium",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "baseline_presence": {
+          "dominant": "low",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "low",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "timing": {
+          "dominant": "atypical",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "atypical",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "summer_suppression": {
+          "dominant": "moderate",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "autumn_component": {
+          "dominant": "moderate",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "response_dynamics": {
+          "dominant": "balanced",
+          "dominant_count": 1,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "balanced",
+              "count": 1,
+              "fraction": 1.0
+            }
+          ]
+        }
+      },
+      "common_traits": [
+        {
+          "trait": "year_wrapping_winter_presence",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "atypical_winter_peak",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "moderate_autumn_component",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "moderate_summer_suppression",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "low_baseline_presence",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "moderate_winter_bump",
+          "count": 1,
+          "fraction": 1.0
+        },
+        {
+          "trait": "balanced_response_dynamics",
+          "count": 1,
+          "fraction": 1.0
+        }
+      ],
+      "distinguishing_numeric_features": [
+        {
+          "feature": "trough_month",
+          "cluster_mean": 3.0,
+          "global_mean": 8.804442,
+          "difference": -5.804442,
+          "scaled_difference": -0.967407,
+          "direction": "lower"
+        },
+        {
+          "feature": "autumn_to_winter_weight_ratio",
+          "cluster_mean": 0.452991,
+          "global_mean": 0.104586,
+          "difference": 0.348405,
+          "scaled_difference": 0.840484,
+          "direction": "higher"
+        },
+        {
+          "feature": "peak_month",
+          "cluster_mean": 9.0,
+          "global_mean": 5.445684,
+          "difference": 3.554316,
+          "scaled_difference": 0.534886,
+          "direction": "higher"
+        },
+        {
+          "feature": "decay_to_growth_ratio",
+          "cluster_mean": 1.409756,
+          "global_mean": 1.549492,
+          "difference": -0.139736,
+          "scaled_difference": -0.276656,
+          "direction": "lower"
+        },
+        {
+          "feature": "fit_score",
+          "cluster_mean": 0.145,
+          "global_mean": 0.090771,
+          "difference": 0.054229,
+          "scaled_difference": 0.123248,
+          "direction": "higher"
+        }
+      ],
+      "suggested_label_terms": [
+        "winter_presence",
+        "atypical",
+        "winter_visitor_with_autumn_arrival_component",
+        "mean_peak_month_9.0",
+        "year_wrapping_winter_presence",
+        "atypical_winter_peak",
+        "moderate_autumn_component"
+      ]
+    },
+    {
+      "cluster_id": 2,
+      "n_species": 6,
+      "species": [
+        "Nettle",
+        "Daisy",
+        "Shepherds Purse",
+        "Dandelion",
+        "Common Cleavers",
+        "Germander Speedwell"
+      ],
+      "description": "Cluster of 6 species, mainly representing resident with summer detectability collapse. Detectability peaks around May and and is lowest around September. The shared pattern includes moderate baseline presence, moderate summer suppression, weak autumn component, and rapid decline biased response dynamics. Common high-support traits include resident detectability pattern, moderate summer suppression, and late spring early summer detectability peak. Compared with the full species set, fit score is higher than the whole-set average.",
+      "dominant_model_family": "resident_detectability",
+      "dominant_primary_class": "resident_with_summer_detectability_collapse",
+      "numeric_summary": {
+        "peak_month": {
+          "n": 6,
+          "mean": 4.837603,
+          "min": 4.0,
+          "max": 5.0
+        },
+        "trough_month": {
+          "n": 6,
+          "mean": 8.837603,
+          "min": 8.0,
+          "max": 9.0
+        },
+        "target_mean_value": {
+          "n": 6,
+          "mean": 0.292273,
+          "min": 0.171221,
+          "max": 0.494866
+        },
+        "target_amplitude": {
+          "n": 6,
+          "mean": 0.594247,
+          "min": 0.534358,
+          "max": 0.666191
+        },
+        "baseline_to_peak_ratio": {
+          "n": 6,
+          "mean": 0.17698,
+          "min": 0.068035,
+          "max": 0.296099
+        },
+        "autumn_to_winter_weight_ratio": {
+          "n": 6,
+          "mean": 0.046518,
+          "min": 0.038462,
+          "max": 0.055777
+        },
+        "year_end_to_winter_weight_ratio": {
+          "n": 6,
+          "mean": 0.276687,
+          "min": 0.187719,
+          "max": 0.373077
+        },
+        "decay_to_growth_ratio": {
+          "n": 6,
+          "mean": 1.572782,
+          "min": 1.249045,
+          "max": 1.754135
+        },
+        "fit_score": {
+          "n": 6,
+          "mean": 0.3515,
+          "min": 0.249,
+          "max": 0.443
+        }
+      },
+      "categorical_summary": {
+        "model_family": {
+          "dominant": "resident_detectability",
+          "dominant_count": 6,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "resident_detectability",
+              "count": 6,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "primary_class": {
+          "dominant": "resident_with_summer_detectability_collapse",
+          "dominant_count": 6,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "resident_with_summer_detectability_collapse",
+              "count": 6,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "confidence": {
+          "dominant": "medium",
+          "dominant_count": 3,
+          "dominant_fraction": 0.5,
+          "values": [
+            {
+              "value": "medium",
+              "count": 3,
+              "fraction": 0.5
+            },
+            {
+              "value": "low",
+              "count": 3,
+              "fraction": 0.5
+            }
+          ]
+        },
+        "baseline_presence": {
+          "dominant": "moderate",
+          "dominant_count": 3,
+          "dominant_fraction": 0.5,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 3,
+              "fraction": 0.5
+            },
+            {
+              "value": "weak",
+              "count": 3,
+              "fraction": 0.5
+            }
+          ]
+        },
+        "timing": {
+          "dominant": "late_spring_early_summer",
+          "dominant_count": 5,
+          "dominant_fraction": 0.833333,
+          "values": [
+            {
+              "value": "late_spring_early_summer",
+              "count": 5,
+              "fraction": 0.833333
+            },
+            {
+              "value": "spring",
+              "count": 1,
+              "fraction": 0.166667
+            }
+          ]
+        },
+        "summer_suppression": {
+          "dominant": "moderate",
+          "dominant_count": 6,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 6,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "autumn_component": {
+          "dominant": "weak",
+          "dominant_count": 5,
+          "dominant_fraction": 0.833333,
+          "values": [
+            {
+              "value": "weak",
+              "count": 5,
+              "fraction": 0.833333
+            },
+            {
+              "value": "minimal",
+              "count": 1,
+              "fraction": 0.166667
+            }
+          ]
+        },
+        "response_dynamics": {
+          "dominant": "rapid_decline_biased",
+          "dominant_count": 5,
+          "dominant_fraction": 0.833333,
+          "values": [
+            {
+              "value": "rapid_decline_biased",
+              "count": 5,
+              "fraction": 0.833333
+            },
+            {
+              "value": "decline_biased",
+              "count": 1,
+              "fraction": 0.166667
+            }
+          ]
+        }
+      },
+      "common_traits": [
+        {
+          "trait": "resident_detectability_pattern",
+          "count": 6,
+          "fraction": 1.0
+        },
+        {
+          "trait": "moderate_summer_suppression",
+          "count": 6,
+          "fraction": 1.0
+        },
+        {
+          "trait": "late_spring_early_summer_detectability_peak",
+          "count": 5,
+          "fraction": 0.833333
+        },
+        {
+          "trait": "autumn_detectability_trough",
+          "count": 5,
+          "fraction": 0.833333
+        },
+        {
+          "trait": "weak_autumn_component",
+          "count": 5,
+          "fraction": 0.833333
+        },
+        {
+          "trait": "rapid_decline_biased_response_dynamics",
+          "count": 5,
+          "fraction": 0.833333
+        },
+        {
+          "trait": "weak_spring_carryover",
+          "count": 5,
+          "fraction": 0.833333
+        },
+        {
+          "trait": "weak_year_end_component",
+          "count": 4,
+          "fraction": 0.666667
+        },
+        {
+          "trait": "moderate_baseline_presence",
+          "count": 3,
+          "fraction": 0.5
+        },
+        {
+          "trait": "strong_summer_decay_acceleration",
+          "count": 3,
+          "fraction": 0.5
+        }
+      ],
+      "distinguishing_numeric_features": [
+        {
+          "feature": "fit_score",
+          "cluster_mean": 0.3515,
+          "global_mean": 0.090771,
+          "difference": 0.260729,
+          "scaled_difference": 0.592566,
+          "direction": "higher"
+        },
+        {
+          "feature": "autumn_to_winter_weight_ratio",
+          "cluster_mean": 0.046518,
+          "global_mean": 0.104586,
+          "difference": -0.058068,
+          "scaled_difference": -0.140082,
+          "direction": "lower"
+        },
+        {
+          "feature": "peak_month",
+          "cluster_mean": 4.837603,
+          "global_mean": 5.445684,
+          "difference": -0.608081,
+          "scaled_difference": -0.09151,
+          "direction": "lower"
+        },
+        {
+          "feature": "decay_to_growth_ratio",
+          "cluster_mean": 1.572782,
+          "global_mean": 1.549492,
+          "difference": 0.02329,
+          "scaled_difference": 0.046111,
+          "direction": "higher"
+        },
+        {
+          "feature": "trough_month",
+          "cluster_mean": 8.837603,
+          "global_mean": 8.804442,
+          "difference": 0.033161,
+          "scaled_difference": 0.005527,
+          "direction": "higher"
+        },
+        {
+          "feature": "target_mean_value",
+          "cluster_mean": 0.292273,
+          "global_mean": 0.292273,
+          "difference": 0.0,
+          "scaled_difference": 0.0,
+          "direction": "lower"
+        },
+        {
+          "feature": "target_amplitude",
+          "cluster_mean": 0.594247,
+          "global_mean": 0.594247,
+          "difference": 0.0,
+          "scaled_difference": 0.0,
+          "direction": "lower"
+        },
+        {
+          "feature": "baseline_to_peak_ratio",
+          "cluster_mean": 0.17698,
+          "global_mean": 0.17698,
+          "difference": 0.0,
+          "scaled_difference": 0.0,
+          "direction": "lower"
+        }
+      ],
+      "suggested_label_terms": [
+        "resident_detectability",
+        "late_spring_early_summer",
+        "resident_with_summer_detectability_collapse",
+        "mean_peak_month_4.837603",
+        "resident_detectability_pattern",
+        "moderate_summer_suppression",
+        "late_spring_early_summer_detectability_peak"
+      ]
+    },
+    {
+      "cluster_id": 3,
+      "n_species": 2,
+      "species": [
+        "Snowdrop",
+        "Winter Aconite"
+      ],
+      "description": "Cluster of 2 species, mainly representing narrow winter seasonal presence. The fitted active window runs roughly from January to March, with a mean peak around February, and and an average width of 1.7 months. It is characterised by narrow season and moderate active window. Common high-support traits include winter peak, narrow season, and strong offseason suppression. Compared with the full species set, season end month is lower than the whole-set average and season midpoint month is lower than the whole-set average.",
+      "dominant_model_family": "seasonal_presence",
+      "dominant_primary_class": "narrow_winter_seasonal_presence",
+      "numeric_summary": {
+        "peak_month": {
+          "n": 2,
+          "mean": 2.4025,
+          "min": 2.355,
+          "max": 2.45
+        },
+        "season_start_month": {
+          "n": 2,
+          "mean": 1.445,
+          "min": 1.385,
+          "max": 1.505
+        },
+        "season_end_month": {
+          "n": 2,
+          "mean": 3.1275,
+          "min": 2.945,
+          "max": 3.31
+        },
+        "season_width_months": {
+          "n": 2,
+          "mean": 1.6825,
+          "min": 1.44,
+          "max": 1.925
+        },
+        "season_midpoint_month": {
+          "n": 2,
+          "mean": 2.28625,
+          "min": 2.225,
+          "max": 2.3475
+        },
+        "fit_score": {
+          "n": 2,
+          "mean": 0.0035,
+          "min": 0.003,
+          "max": 0.004
+        }
+      },
+      "categorical_summary": {
+        "model_family": {
+          "dominant": "seasonal_presence",
+          "dominant_count": 2,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "seasonal_presence",
+              "count": 2,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "primary_class": {
+          "dominant": "narrow_winter_seasonal_presence",
+          "dominant_count": 2,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "narrow_winter_seasonal_presence",
+              "count": 2,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "confidence": {
+          "dominant": "high",
+          "dominant_count": 2,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "high",
+              "count": 2,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "timing": {
+          "dominant": "winter",
+          "dominant_count": 2,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "winter",
+              "count": 2,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "season_width_class": {
+          "dominant": "narrow",
+          "dominant_count": 2,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "narrow",
+              "count": 2,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "window_shape": {
+          "dominant": "moderate",
+          "dominant_count": 1,
+          "dominant_fraction": 0.5,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 1,
+              "fraction": 0.5
+            },
+            {
+              "value": "sharp",
+              "count": 1,
+              "fraction": 0.5
+            }
+          ]
+        },
+        "post_peak_decline": {
+          "dominant": "strong",
+          "dominant_count": 1,
+          "dominant_fraction": 0.5,
+          "values": [
+            {
+              "value": "strong",
+              "count": 1,
+              "fraction": 0.5
+            },
+            {
+              "value": "moderate",
+              "count": 1,
+              "fraction": 0.5
+            }
+          ]
+        },
+        "offseason_suppression": {
+          "dominant": "strong",
+          "dominant_count": 2,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "strong",
+              "count": 2,
+              "fraction": 1.0
+            }
+          ]
+        }
+      },
+      "common_traits": [
+        {
+          "trait": "winter_peak",
+          "count": 2,
+          "fraction": 1.0
+        },
+        {
+          "trait": "narrow_season",
+          "count": 2,
+          "fraction": 1.0
+        },
+        {
+          "trait": "strong_offseason_suppression",
+          "count": 2,
+          "fraction": 1.0
+        },
+        {
+          "trait": "central_peak_alignment",
+          "count": 2,
+          "fraction": 1.0
+        },
+        {
+          "trait": "moderate_seasonal_window",
+          "count": 1,
+          "fraction": 0.5
+        },
+        {
+          "trait": "strong_post_peak_decline",
+          "count": 1,
+          "fraction": 0.5
+        },
+        {
+          "trait": "sharp_seasonal_window",
+          "count": 1,
+          "fraction": 0.5
+        },
+        {
+          "trait": "moderate_post_peak_decline",
+          "count": 1,
+          "fraction": 0.5
+        }
+      ],
+      "distinguishing_numeric_features": [
+        {
+          "feature": "season_end_month",
+          "cluster_mean": 3.1275,
+          "global_mean": 9.064751,
+          "difference": -5.937251,
+          "scaled_difference": -0.696043,
+          "direction": "lower"
+        },
+        {
+          "feature": "season_midpoint_month",
+          "cluster_mean": 2.28625,
+          "global_mean": 6.474444,
+          "difference": -4.188194,
+          "scaled_difference": -0.670916,
+          "direction": "lower"
+        },
+        {
+          "feature": "season_start_month",
+          "cluster_mean": 1.445,
+          "global_mean": 4.160199,
+          "difference": -2.715199,
+          "scaled_difference": -0.574645,
+          "direction": "lower"
+        },
+        {
+          "feature": "peak_month",
+          "cluster_mean": 2.4025,
+          "global_mean": 5.445684,
+          "difference": -3.043184,
+          "scaled_difference": -0.457966,
+          "direction": "lower"
+        },
+        {
+          "feature": "season_width_months",
+          "cluster_mean": 1.6825,
+          "global_mean": 4.32375,
+          "difference": -2.64125,
+          "scaled_difference": -0.386996,
+          "direction": "lower"
+        },
+        {
+          "feature": "fit_score",
+          "cluster_mean": 0.0035,
+          "global_mean": 0.090771,
+          "difference": -0.087271,
+          "scaled_difference": -0.198343,
+          "direction": "lower"
+        }
+      ],
+      "suggested_label_terms": [
+        "seasonal_presence",
+        "winter",
+        "narrow",
+        "narrow_winter_seasonal_presence",
+        "mean_peak_month_2.4025",
+        "winter_peak",
+        "narrow_season",
+        "strong_offseason_suppression"
+      ]
+    },
+    {
+      "cluster_id": 4,
+      "n_species": 8,
+      "species": [
+        "Buttercup",
+        "Red Dead Nettle",
+        "Doves Foot Cranesbill",
+        "Green Alkanet",
+        "Honeysuckle",
+        "Red Campion",
+        "Common Comfrey",
+        "Oxeye Daisy"
+      ],
+      "description": "Cluster of 8 species, mainly representing extended spring seasonal presence. The fitted active window runs roughly from April to October, with a mean peak around May, and and an average width of 6.0 months. It is characterised by broad season and moderate active window. Common high-support traits include spring peak, strong post peak decline, and early peak alignment.",
+      "dominant_model_family": "seasonal_presence",
+      "dominant_primary_class": "extended_spring_seasonal_presence",
+      "numeric_summary": {
+        "peak_month": {
+          "n": 8,
+          "mean": 5.129642,
+          "min": 4.215,
+          "max": 5.41
+        },
+        "season_start_month": {
+          "n": 8,
+          "mean": 3.679084,
+          "min": 2.37,
+          "max": 4.47
+        },
+        "season_end_month": {
+          "n": 8,
+          "mean": 9.701941,
+          "min": 8.29,
+          "max": 10.41
+        },
+        "season_width_months": {
+          "n": 8,
+          "mean": 6.018125,
+          "min": 4.915,
+          "max": 7.595
+        },
+        "season_midpoint_month": {
+          "n": 8,
+          "mean": 6.681697,
+          "min": 5.78,
+          "max": 7.325
+        },
+        "fit_score": {
+          "n": 8,
+          "mean": 0.0415,
+          "min": 0.025,
+          "max": 0.057
+        }
+      },
+      "categorical_summary": {
+        "model_family": {
+          "dominant": "seasonal_presence",
+          "dominant_count": 8,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "seasonal_presence",
+              "count": 8,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "primary_class": {
+          "dominant": "extended_spring_seasonal_presence",
+          "dominant_count": 8,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "extended_spring_seasonal_presence",
+              "count": 8,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "confidence": {
+          "dominant": "high",
+          "dominant_count": 8,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "high",
+              "count": 8,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "timing": {
+          "dominant": "spring",
+          "dominant_count": 8,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "spring",
+              "count": 8,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "season_width_class": {
+          "dominant": "broad",
+          "dominant_count": 5,
+          "dominant_fraction": 0.625,
+          "values": [
+            {
+              "value": "broad",
+              "count": 5,
+              "fraction": 0.625
+            },
+            {
+              "value": "very_broad",
+              "count": 3,
+              "fraction": 0.375
+            }
+          ]
+        },
+        "window_shape": {
+          "dominant": "moderate",
+          "dominant_count": 5,
+          "dominant_fraction": 0.625,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 5,
+              "fraction": 0.625
+            },
+            {
+              "value": "sharp",
+              "count": 3,
+              "fraction": 0.375
+            }
+          ]
+        },
+        "post_peak_decline": {
+          "dominant": "strong",
+          "dominant_count": 8,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "strong",
+              "count": 8,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "offseason_suppression": {
+          "dominant": "strong",
+          "dominant_count": 7,
+          "dominant_fraction": 0.875,
+          "values": [
+            {
+              "value": "strong",
+              "count": 7,
+              "fraction": 0.875
+            },
+            {
+              "value": "moderate",
+              "count": 1,
+              "fraction": 0.125
+            }
+          ]
+        }
+      },
+      "common_traits": [
+        {
+          "trait": "spring_peak",
+          "count": 8,
+          "fraction": 1.0
+        },
+        {
+          "trait": "strong_post_peak_decline",
+          "count": 8,
+          "fraction": 1.0
+        },
+        {
+          "trait": "early_peak_alignment",
+          "count": 7,
+          "fraction": 0.875
+        },
+        {
+          "trait": "strong_offseason_suppression",
+          "count": 7,
+          "fraction": 0.875
+        },
+        {
+          "trait": "moderate_seasonal_window",
+          "count": 5,
+          "fraction": 0.625
+        },
+        {
+          "trait": "broad_season",
+          "count": 5,
+          "fraction": 0.625
+        },
+        {
+          "trait": "very_broad_season",
+          "count": 3,
+          "fraction": 0.375
+        },
+        {
+          "trait": "sharp_seasonal_window",
+          "count": 3,
+          "fraction": 0.375
+        },
+        {
+          "trait": "moderate_offseason_suppression",
+          "count": 1,
+          "fraction": 0.125
+        },
+        {
+          "trait": "central_peak_alignment",
+          "count": 1,
+          "fraction": 0.125
+        }
+      ],
+      "distinguishing_numeric_features": [
+        {
+          "feature": "season_width_months",
+          "cluster_mean": 6.018125,
+          "global_mean": 4.32375,
+          "difference": 1.694375,
+          "scaled_difference": 0.24826,
+          "direction": "higher"
+        },
+        {
+          "feature": "fit_score",
+          "cluster_mean": 0.0415,
+          "global_mean": 0.090771,
+          "difference": -0.049271,
+          "scaled_difference": -0.11198,
+          "direction": "lower"
+        },
+        {
+          "feature": "season_start_month",
+          "cluster_mean": 3.679084,
+          "global_mean": 4.160199,
+          "difference": -0.481115,
+          "scaled_difference": -0.101823,
+          "direction": "lower"
+        },
+        {
+          "feature": "season_end_month",
+          "cluster_mean": 9.701941,
+          "global_mean": 9.064751,
+          "difference": 0.63719,
+          "scaled_difference": 0.0747,
+          "direction": "higher"
+        },
+        {
+          "feature": "peak_month",
+          "cluster_mean": 5.129642,
+          "global_mean": 5.445684,
+          "difference": -0.316042,
+          "scaled_difference": -0.047561,
+          "direction": "lower"
+        },
+        {
+          "feature": "season_midpoint_month",
+          "cluster_mean": 6.681697,
+          "global_mean": 6.474444,
+          "difference": 0.207253,
+          "scaled_difference": 0.0332,
+          "direction": "higher"
+        }
+      ],
+      "suggested_label_terms": [
+        "seasonal_presence",
+        "spring",
+        "broad",
+        "extended_spring_seasonal_presence",
+        "mean_peak_month_5.129642",
+        "spring_peak",
+        "strong_post_peak_decline",
+        "early_peak_alignment"
+      ]
+    },
+    {
+      "cluster_id": 5,
+      "n_species": 7,
+      "species": [
+        "Dog Rose",
+        "Teasel",
+        "Red Clover",
+        "White Campion",
+        "Cuckoo Pint",
+        "Common Poppy",
+        "Cornflower"
+      ],
+      "description": "Cluster of 7 species, mainly representing extended summer seasonal presence. The fitted active window runs roughly from May to November, with a mean peak around July, and and an average width of 5.7 months. It is characterised by very broad season and moderate active window. Common high-support traits include summer peak, strong offseason suppression, and strong post peak decline.",
+      "dominant_model_family": "seasonal_presence",
+      "dominant_primary_class": "extended_summer_seasonal_presence",
+      "numeric_summary": {
+        "peak_month": {
+          "n": 7,
+          "mean": 6.618622,
+          "min": 5.855,
+          "max": 7.855
+        },
+        "season_start_month": {
+          "n": 7,
+          "mean": 4.940551,
+          "min": 3.925,
+          "max": 6.11
+        },
+        "season_end_month": {
+          "n": 7,
+          "mean": 10.690924,
+          "min": 9.245,
+          "max": 11.475
+        },
+        "season_width_months": {
+          "n": 7,
+          "mean": 5.733571,
+          "min": 4.095,
+          "max": 6.865
+        },
+        "season_midpoint_month": {
+          "n": 7,
+          "mean": 7.819339,
+          "min": 6.585,
+          "max": 8.4675
+        },
+        "fit_score": {
+          "n": 7,
+          "mean": 0.052714,
+          "min": 0.017,
+          "max": 0.085
+        }
+      },
+      "categorical_summary": {
+        "model_family": {
+          "dominant": "seasonal_presence",
+          "dominant_count": 7,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "seasonal_presence",
+              "count": 7,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "primary_class": {
+          "dominant": "extended_summer_seasonal_presence",
+          "dominant_count": 7,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "extended_summer_seasonal_presence",
+              "count": 7,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "confidence": {
+          "dominant": "high",
+          "dominant_count": 6,
+          "dominant_fraction": 0.857143,
+          "values": [
+            {
+              "value": "high",
+              "count": 6,
+              "fraction": 0.857143
+            },
+            {
+              "value": "medium",
+              "count": 1,
+              "fraction": 0.142857
+            }
+          ]
+        },
+        "timing": {
+          "dominant": "summer",
+          "dominant_count": 7,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "summer",
+              "count": 7,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "season_width_class": {
+          "dominant": "very_broad",
+          "dominant_count": 4,
+          "dominant_fraction": 0.571429,
+          "values": [
+            {
+              "value": "very_broad",
+              "count": 4,
+              "fraction": 0.571429
+            },
+            {
+              "value": "broad",
+              "count": 3,
+              "fraction": 0.428571
+            }
+          ]
+        },
+        "window_shape": {
+          "dominant": "moderate",
+          "dominant_count": 4,
+          "dominant_fraction": 0.571429,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 4,
+              "fraction": 0.571429
+            },
+            {
+              "value": "sharp",
+              "count": 3,
+              "fraction": 0.428571
+            }
+          ]
+        },
+        "post_peak_decline": {
+          "dominant": "strong",
+          "dominant_count": 6,
+          "dominant_fraction": 0.857143,
+          "values": [
+            {
+              "value": "strong",
+              "count": 6,
+              "fraction": 0.857143
+            },
+            {
+              "value": "moderate",
+              "count": 1,
+              "fraction": 0.142857
+            }
+          ]
+        },
+        "offseason_suppression": {
+          "dominant": "strong",
+          "dominant_count": 7,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "strong",
+              "count": 7,
+              "fraction": 1.0
+            }
+          ]
+        }
+      },
+      "common_traits": [
+        {
+          "trait": "summer_peak",
+          "count": 7,
+          "fraction": 1.0
+        },
+        {
+          "trait": "strong_offseason_suppression",
+          "count": 7,
+          "fraction": 1.0
+        },
+        {
+          "trait": "strong_post_peak_decline",
+          "count": 6,
+          "fraction": 0.857143
+        },
+        {
+          "trait": "early_peak_alignment",
+          "count": 6,
+          "fraction": 0.857143
+        },
+        {
+          "trait": "very_broad_season",
+          "count": 4,
+          "fraction": 0.571429
+        },
+        {
+          "trait": "moderate_seasonal_window",
+          "count": 4,
+          "fraction": 0.571429
+        },
+        {
+          "trait": "sharp_seasonal_window",
+          "count": 3,
+          "fraction": 0.428571
+        },
+        {
+          "trait": "broad_season",
+          "count": 3,
+          "fraction": 0.428571
+        },
+        {
+          "trait": "moderate_post_peak_decline",
+          "count": 1,
+          "fraction": 0.142857
+        },
+        {
+          "trait": "late_peak_alignment",
+          "count": 1,
+          "fraction": 0.142857
+        }
+      ],
+      "distinguishing_numeric_features": [
+        {
+          "feature": "season_midpoint_month",
+          "cluster_mean": 7.819339,
+          "global_mean": 6.474444,
+          "difference": 1.344895,
+          "scaled_difference": 0.215442,
+          "direction": "higher"
+        },
+        {
+          "feature": "season_width_months",
+          "cluster_mean": 5.733571,
+          "global_mean": 4.32375,
+          "difference": 1.409821,
+          "scaled_difference": 0.206567,
+          "direction": "higher"
+        },
+        {
+          "feature": "season_end_month",
+          "cluster_mean": 10.690924,
+          "global_mean": 9.064751,
+          "difference": 1.626173,
+          "scaled_difference": 0.190642,
+          "direction": "higher"
+        },
+        {
+          "feature": "peak_month",
+          "cluster_mean": 6.618622,
+          "global_mean": 5.445684,
+          "difference": 1.172938,
+          "scaled_difference": 0.176514,
+          "direction": "higher"
+        },
+        {
+          "feature": "season_start_month",
+          "cluster_mean": 4.940551,
+          "global_mean": 4.160199,
+          "difference": 0.780352,
+          "scaled_difference": 0.165154,
+          "direction": "higher"
+        },
+        {
+          "feature": "fit_score",
+          "cluster_mean": 0.052714,
+          "global_mean": 0.090771,
+          "difference": -0.038057,
+          "scaled_difference": -0.086493,
+          "direction": "lower"
+        }
+      ],
+      "suggested_label_terms": [
+        "seasonal_presence",
+        "summer",
+        "very_broad",
+        "extended_summer_seasonal_presence",
+        "mean_peak_month_6.618622",
+        "summer_peak",
+        "strong_offseason_suppression",
+        "strong_post_peak_decline"
+      ]
+    },
+    {
+      "cluster_id": 6,
+      "n_species": 4,
+      "species": [
+        "Horsetail",
+        "Rosebay Willowherb",
+        "Goats Beard",
+        "White Clover"
+      ],
+      "description": "Cluster of 4 species, mainly representing moderate summer seasonal presence. The fitted active window runs roughly from May to September, with a mean peak around July, and and an average width of 3.5 months. It is characterised by moderate season and moderate active window. Common high-support traits include summer peak, central peak alignment, and moderate seasonal window.",
+      "dominant_model_family": "seasonal_presence",
+      "dominant_primary_class": "moderate_summer_seasonal_presence",
+      "numeric_summary": {
+        "peak_month": {
+          "n": 4,
+          "mean": 6.800718,
+          "min": 6.175,
+          "max": 8.265
+        },
+        "season_start_month": {
+          "n": 4,
+          "mean": 5.173515,
+          "min": 4.235,
+          "max": 6.075
+        },
+        "season_end_month": {
+          "n": 4,
+          "mean": 8.670771,
+          "min": 8.3,
+          "max": 9.3
+        },
+        "season_width_months": {
+          "n": 4,
+          "mean": 3.5,
+          "min": 2.925,
+          "max": 4.545
+        },
+        "season_midpoint_month": {
+          "n": 4,
+          "mean": 6.918343,
+          "min": 6.5075,
+          "max": 7.6875
+        },
+        "fit_score": {
+          "n": 4,
+          "mean": 0.017,
+          "min": 0.009,
+          "max": 0.026
+        }
+      },
+      "categorical_summary": {
+        "model_family": {
+          "dominant": "seasonal_presence",
+          "dominant_count": 4,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "seasonal_presence",
+              "count": 4,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "primary_class": {
+          "dominant": "moderate_summer_seasonal_presence",
+          "dominant_count": 3,
+          "dominant_fraction": 0.75,
+          "values": [
+            {
+              "value": "moderate_summer_seasonal_presence",
+              "count": 3,
+              "fraction": 0.75
+            },
+            {
+              "value": "extended_summer_seasonal_presence",
+              "count": 1,
+              "fraction": 0.25
+            }
+          ]
+        },
+        "confidence": {
+          "dominant": "high",
+          "dominant_count": 4,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "high",
+              "count": 4,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "timing": {
+          "dominant": "summer",
+          "dominant_count": 4,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "summer",
+              "count": 4,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "season_width_class": {
+          "dominant": "moderate",
+          "dominant_count": 3,
+          "dominant_fraction": 0.75,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 3,
+              "fraction": 0.75
+            },
+            {
+              "value": "broad",
+              "count": 1,
+              "fraction": 0.25
+            }
+          ]
+        },
+        "window_shape": {
+          "dominant": "moderate",
+          "dominant_count": 3,
+          "dominant_fraction": 0.75,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 3,
+              "fraction": 0.75
+            },
+            {
+              "value": "sharp",
+              "count": 1,
+              "fraction": 0.25
+            }
+          ]
+        },
+        "post_peak_decline": {
+          "dominant": "moderate",
+          "dominant_count": 3,
+          "dominant_fraction": 0.75,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 3,
+              "fraction": 0.75
+            },
+            {
+              "value": "strong",
+              "count": 1,
+              "fraction": 0.25
+            }
+          ]
+        },
+        "offseason_suppression": {
+          "dominant": "moderate",
+          "dominant_count": 2,
+          "dominant_fraction": 0.5,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 2,
+              "fraction": 0.5
+            },
+            {
+              "value": "strong",
+              "count": 2,
+              "fraction": 0.5
+            }
+          ]
+        }
+      },
+      "common_traits": [
+        {
+          "trait": "summer_peak",
+          "count": 4,
+          "fraction": 1.0
+        },
+        {
+          "trait": "central_peak_alignment",
+          "count": 4,
+          "fraction": 1.0
+        },
+        {
+          "trait": "moderate_seasonal_window",
+          "count": 3,
+          "fraction": 0.75
+        },
+        {
+          "trait": "moderate_post_peak_decline",
+          "count": 3,
+          "fraction": 0.75
+        },
+        {
+          "trait": "moderate_season",
+          "count": 3,
+          "fraction": 0.75
+        },
+        {
+          "trait": "moderate_offseason_suppression",
+          "count": 2,
+          "fraction": 0.5
+        },
+        {
+          "trait": "strong_offseason_suppression",
+          "count": 2,
+          "fraction": 0.5
+        },
+        {
+          "trait": "broad_season",
+          "count": 1,
+          "fraction": 0.25
+        },
+        {
+          "trait": "sharp_seasonal_window",
+          "count": 1,
+          "fraction": 0.25
+        },
+        {
+          "trait": "strong_post_peak_decline",
+          "count": 1,
+          "fraction": 0.25
+        }
+      ],
+      "distinguishing_numeric_features": [
+        {
+          "feature": "season_start_month",
+          "cluster_mean": 5.173515,
+          "global_mean": 4.160199,
+          "difference": 1.013316,
+          "scaled_difference": 0.214458,
+          "direction": "higher"
+        },
+        {
+          "feature": "peak_month",
+          "cluster_mean": 6.800718,
+          "global_mean": 5.445684,
+          "difference": 1.355034,
+          "scaled_difference": 0.203918,
+          "direction": "higher"
+        },
+        {
+          "feature": "fit_score",
+          "cluster_mean": 0.017,
+          "global_mean": 0.090771,
+          "difference": -0.073771,
+          "scaled_difference": -0.167661,
+          "direction": "lower"
+        },
+        {
+          "feature": "season_width_months",
+          "cluster_mean": 3.5,
+          "global_mean": 4.32375,
+          "difference": -0.82375,
+          "scaled_difference": -0.120696,
+          "direction": "lower"
+        },
+        {
+          "feature": "season_midpoint_month",
+          "cluster_mean": 6.918343,
+          "global_mean": 6.474444,
+          "difference": 0.443899,
+          "scaled_difference": 0.071109,
+          "direction": "higher"
+        },
+        {
+          "feature": "season_end_month",
+          "cluster_mean": 8.670771,
+          "global_mean": 9.064751,
+          "difference": -0.39398,
+          "scaled_difference": -0.046188,
+          "direction": "lower"
+        }
+      ],
+      "suggested_label_terms": [
+        "seasonal_presence",
+        "summer",
+        "moderate",
+        "moderate_summer_seasonal_presence",
+        "mean_peak_month_6.800718",
+        "summer_peak",
+        "central_peak_alignment",
+        "moderate_seasonal_window"
+      ]
+    },
+    {
+      "cluster_id": 7,
+      "n_species": 5,
+      "species": [
+        "Common Vetch",
+        "Cow Parsley",
+        "Lesser Celandine",
+        "Cowslip",
+        "Garlic Mustard"
+      ],
+      "description": "Cluster of 5 species, mainly representing moderate spring seasonal presence. The fitted active window runs roughly from April to June, with a mean peak around May, and and an average width of 2.6 months. It is characterised by moderate season and sharp active window. Common high-support traits include spring peak, moderate season, and strong offseason suppression. Compared with the full species set, season end month is lower than the whole-set average.",
+      "dominant_model_family": "seasonal_presence",
+      "dominant_primary_class": "moderate_spring_seasonal_presence",
+      "numeric_summary": {
+        "peak_month": {
+          "n": 5,
+          "mean": 4.796255,
+          "min": 4.245,
+          "max": 5.19
+        },
+        "season_start_month": {
+          "n": 5,
+          "mean": 3.698571,
+          "min": 2.28,
+          "max": 4.545
+        },
+        "season_end_month": {
+          "n": 5,
+          "mean": 6.315834,
+          "min": 5.25,
+          "max": 7.395
+        },
+        "season_width_months": {
+          "n": 5,
+          "mean": 2.636,
+          "min": 2.065,
+          "max": 3.15
+        },
+        "season_midpoint_month": {
+          "n": 5,
+          "mean": 5.006504,
+          "min": 3.765,
+          "max": 5.8675
+        },
+        "fit_score": {
+          "n": 5,
+          "mean": 0.018,
+          "min": 0.006,
+          "max": 0.036
+        }
+      },
+      "categorical_summary": {
+        "model_family": {
+          "dominant": "seasonal_presence",
+          "dominant_count": 5,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "seasonal_presence",
+              "count": 5,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "primary_class": {
+          "dominant": "moderate_spring_seasonal_presence",
+          "dominant_count": 5,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "moderate_spring_seasonal_presence",
+              "count": 5,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "confidence": {
+          "dominant": "high",
+          "dominant_count": 5,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "high",
+              "count": 5,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "timing": {
+          "dominant": "spring",
+          "dominant_count": 5,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "spring",
+              "count": 5,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "season_width_class": {
+          "dominant": "moderate",
+          "dominant_count": 5,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 5,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "window_shape": {
+          "dominant": "sharp",
+          "dominant_count": 4,
+          "dominant_fraction": 0.8,
+          "values": [
+            {
+              "value": "sharp",
+              "count": 4,
+              "fraction": 0.8
+            },
+            {
+              "value": "moderate",
+              "count": 1,
+              "fraction": 0.2
+            }
+          ]
+        },
+        "post_peak_decline": {
+          "dominant": "moderate",
+          "dominant_count": 3,
+          "dominant_fraction": 0.6,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 3,
+              "fraction": 0.6
+            },
+            {
+              "value": "strong",
+              "count": 2,
+              "fraction": 0.4
+            }
+          ]
+        },
+        "offseason_suppression": {
+          "dominant": "strong",
+          "dominant_count": 5,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "strong",
+              "count": 5,
+              "fraction": 1.0
+            }
+          ]
+        }
+      },
+      "common_traits": [
+        {
+          "trait": "spring_peak",
+          "count": 5,
+          "fraction": 1.0
+        },
+        {
+          "trait": "moderate_season",
+          "count": 5,
+          "fraction": 1.0
+        },
+        {
+          "trait": "strong_offseason_suppression",
+          "count": 5,
+          "fraction": 1.0
+        },
+        {
+          "trait": "central_peak_alignment",
+          "count": 5,
+          "fraction": 1.0
+        },
+        {
+          "trait": "sharp_seasonal_window",
+          "count": 4,
+          "fraction": 0.8
+        },
+        {
+          "trait": "moderate_post_peak_decline",
+          "count": 3,
+          "fraction": 0.6
+        },
+        {
+          "trait": "strong_post_peak_decline",
+          "count": 2,
+          "fraction": 0.4
+        },
+        {
+          "trait": "moderate_seasonal_window",
+          "count": 1,
+          "fraction": 0.2
+        }
+      ],
+      "distinguishing_numeric_features": [
+        {
+          "feature": "season_end_month",
+          "cluster_mean": 6.315834,
+          "global_mean": 9.064751,
+          "difference": -2.748917,
+          "scaled_difference": -0.322265,
+          "direction": "lower"
+        },
+        {
+          "feature": "season_width_months",
+          "cluster_mean": 2.636,
+          "global_mean": 4.32375,
+          "difference": -1.68775,
+          "scaled_difference": -0.247289,
+          "direction": "lower"
+        },
+        {
+          "feature": "season_midpoint_month",
+          "cluster_mean": 5.006504,
+          "global_mean": 6.474444,
+          "difference": -1.46794,
+          "scaled_difference": -0.235153,
+          "direction": "lower"
+        },
+        {
+          "feature": "fit_score",
+          "cluster_mean": 0.018,
+          "global_mean": 0.090771,
+          "difference": -0.072771,
+          "scaled_difference": -0.165389,
+          "direction": "lower"
+        },
+        {
+          "feature": "peak_month",
+          "cluster_mean": 4.796255,
+          "global_mean": 5.445684,
+          "difference": -0.649429,
+          "scaled_difference": -0.097732,
+          "direction": "lower"
+        },
+        {
+          "feature": "season_start_month",
+          "cluster_mean": 3.698571,
+          "global_mean": 4.160199,
+          "difference": -0.461628,
+          "scaled_difference": -0.097699,
+          "direction": "lower"
+        }
+      ],
+      "suggested_label_terms": [
+        "seasonal_presence",
+        "spring",
+        "moderate",
+        "moderate_spring_seasonal_presence",
+        "mean_peak_month_4.796255",
+        "spring_peak",
+        "moderate_season",
+        "strong_offseason_suppression"
+      ]
+    },
+    {
+      "cluster_id": 8,
+      "n_species": 2,
+      "species": [
+        "Bluebell",
+        "Yellow Flag Iris"
+      ],
+      "description": "Cluster of 2 species, mainly representing narrow spring seasonal presence. The fitted active window runs roughly from May to June, with a mean peak around May, and and an average width of 1.1 months. It is characterised by narrow season and sharp active window. Common high-support traits include spring peak, narrow season, and moderate offseason suppression. Compared with the full species set, season width months is lower than the whole-set average and season end month is lower than the whole-set average.",
+      "dominant_model_family": "seasonal_presence",
+      "dominant_primary_class": "narrow_spring_seasonal_presence",
+      "numeric_summary": {
+        "peak_month": {
+          "n": 2,
+          "mean": 5.1625,
+          "min": 4.875,
+          "max": 5.45
+        },
+        "season_start_month": {
+          "n": 2,
+          "mean": 4.5975,
+          "min": 4.08,
+          "max": 5.115
+        },
+        "season_end_month": {
+          "n": 2,
+          "mean": 5.7175,
+          "min": 5.55,
+          "max": 5.885
+        },
+        "season_width_months": {
+          "n": 2,
+          "mean": 1.12,
+          "min": 0.77,
+          "max": 1.47
+        },
+        "season_midpoint_month": {
+          "n": 2,
+          "mean": 5.1575,
+          "min": 4.815,
+          "max": 5.5
+        },
+        "fit_score": {
+          "n": 2,
+          "mean": 0.0285,
+          "min": 0.018,
+          "max": 0.039
+        }
+      },
+      "categorical_summary": {
+        "model_family": {
+          "dominant": "seasonal_presence",
+          "dominant_count": 2,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "seasonal_presence",
+              "count": 2,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "primary_class": {
+          "dominant": "narrow_spring_seasonal_presence",
+          "dominant_count": 2,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "narrow_spring_seasonal_presence",
+              "count": 2,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "confidence": {
+          "dominant": "high",
+          "dominant_count": 2,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "high",
+              "count": 2,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "timing": {
+          "dominant": "spring",
+          "dominant_count": 2,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "spring",
+              "count": 2,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "season_width_class": {
+          "dominant": "narrow",
+          "dominant_count": 2,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "narrow",
+              "count": 2,
+              "fraction": 1.0
+            }
+          ]
+        },
+        "window_shape": {
+          "dominant": "sharp",
+          "dominant_count": 1,
+          "dominant_fraction": 0.5,
+          "values": [
+            {
+              "value": "sharp",
+              "count": 1,
+              "fraction": 0.5
+            },
+            {
+              "value": "moderate",
+              "count": 1,
+              "fraction": 0.5
+            }
+          ]
+        },
+        "post_peak_decline": {
+          "dominant": "moderate",
+          "dominant_count": 1,
+          "dominant_fraction": 0.5,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 1,
+              "fraction": 0.5
+            },
+            {
+              "value": "strong",
+              "count": 1,
+              "fraction": 0.5
+            }
+          ]
+        },
+        "offseason_suppression": {
+          "dominant": "moderate",
+          "dominant_count": 2,
+          "dominant_fraction": 1.0,
+          "values": [
+            {
+              "value": "moderate",
+              "count": 2,
+              "fraction": 1.0
+            }
+          ]
+        }
+      },
+      "common_traits": [
+        {
+          "trait": "spring_peak",
+          "count": 2,
+          "fraction": 1.0
+        },
+        {
+          "trait": "narrow_season",
+          "count": 2,
+          "fraction": 1.0
+        },
+        {
+          "trait": "moderate_offseason_suppression",
+          "count": 2,
+          "fraction": 1.0
+        },
+        {
+          "trait": "central_peak_alignment",
+          "count": 2,
+          "fraction": 1.0
+        },
+        {
+          "trait": "sharp_seasonal_window",
+          "count": 1,
+          "fraction": 0.5
+        },
+        {
+          "trait": "moderate_post_peak_decline",
+          "count": 1,
+          "fraction": 0.5
+        },
+        {
+          "trait": "moderate_seasonal_window",
+          "count": 1,
+          "fraction": 0.5
+        },
+        {
+          "trait": "strong_post_peak_decline",
+          "count": 1,
+          "fraction": 0.5
+        }
+      ],
+      "distinguishing_numeric_features": [
+        {
+          "feature": "season_width_months",
+          "cluster_mean": 1.12,
+          "global_mean": 4.32375,
+          "difference": -3.20375,
+          "scaled_difference": -0.469414,
+          "direction": "lower"
+        },
+        {
+          "feature": "season_end_month",
+          "cluster_mean": 5.7175,
+          "global_mean": 9.064751,
+          "difference": -3.347251,
+          "scaled_difference": -0.392409,
+          "direction": "lower"
+        },
+        {
+          "feature": "season_midpoint_month",
+          "cluster_mean": 5.1575,
+          "global_mean": 6.474444,
+          "difference": -1.316944,
+          "scaled_difference": -0.210964,
+          "direction": "lower"
+        },
+        {
+          "feature": "fit_score",
+          "cluster_mean": 0.0285,
+          "global_mean": 0.090771,
+          "difference": -0.062271,
+          "scaled_difference": -0.141525,
+          "direction": "lower"
+        },
+        {
+          "feature": "season_start_month",
+          "cluster_mean": 4.5975,
+          "global_mean": 4.160199,
+          "difference": 0.437301,
+          "scaled_difference": 0.09255,
+          "direction": "higher"
+        },
+        {
+          "feature": "peak_month",
+          "cluster_mean": 5.1625,
+          "global_mean": 5.445684,
+          "difference": -0.283184,
+          "scaled_difference": -0.042616,
+          "direction": "lower"
+        }
+      ],
+      "suggested_label_terms": [
+        "seasonal_presence",
+        "spring",
+        "narrow",
+        "narrow_spring_seasonal_presence",
+        "mean_peak_month_5.1625",
+        "spring_peak",
+        "narrow_season",
+        "moderate_offseason_suppression"
+      ]
+    }
+  ]
+}
\ No newline at end of file
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diff --git a/modelling/data/abingdon-flowers/analysis/cluster_summary.txt b/modelling/data/abingdon-flowers/analysis/cluster_summary.txt
new file mode 100644
index 0000000..e390041
--- /dev/null
+++ b/modelling/data/abingdon-flowers/analysis/cluster_summary.txt
@@ -0,0 +1,196 @@
+
+Species clusters
+================
+
+Cluster 1
+---------
+Single-species cluster containing Snowberry, mainly representing winter visitor with autumn arrival component. The defining pattern is a winter peak around September, a moderate autumn component, moderate summer suppression, and balanced response dynamics. Its defining traits include year wrapping winter presence, atypical winter peak, and moderate autumn component. Compared with the full species set, trough month is lower than the whole-set average and autumn to winter weight ratio is higher than the whole-set average.
+
+Species (1):
+  Snowberry
+
+Dominant model family : winter_presence
+Dominant class        : winter_visitor_with_autumn_arrival_component
+Common traits         : year_wrapping_winter_presence (1, 100%), atypical_winter_peak (1, 100%), moderate_autumn_component (1, 100%), moderate_summer_suppression (1, 100%), low_baseline_presence (1, 100%)
+
+Peak month mean/range : 9.00 (9.00 - 9.00)
+
+Distinguishing numeric features:
+  - trough_month (lower, scaled_difference=-0.97)
+  - autumn_to_winter_weight_ratio (higher, scaled_difference=0.84)
+  - peak_month (higher, scaled_difference=0.53)
+  - decay_to_growth_ratio (lower, scaled_difference=-0.28)
+  - fit_score (higher, scaled_difference=0.12)
+
+Cluster 2
+---------
+Cluster of 6 species, mainly representing resident with summer detectability collapse. Detectability peaks around May and and is lowest around September. The shared pattern includes moderate baseline presence, moderate summer suppression, weak autumn component, and rapid decline biased response dynamics. Common high-support traits include resident detectability pattern, moderate summer suppression, and late spring early summer detectability peak. Compared with the full species set, fit score is higher than the whole-set average.
+
+Species (6):
+  Nettle
+  Daisy
+  Shepherds Purse
+  Dandelion
+  Common Cleavers
+  Germander Speedwell
+
+Dominant model family : resident_detectability
+Dominant class        : resident_with_summer_detectability_collapse
+Common traits         : resident_detectability_pattern (6, 100%), moderate_summer_suppression (6, 100%), late_spring_early_summer_detectability_peak (5, 83%), autumn_detectability_trough (5, 83%), weak_autumn_component (5, 83%)
+
+Peak month mean/range : 4.84 (4.00 - 5.00)
+
+Distinguishing numeric features:
+  - fit_score (higher, scaled_difference=0.59)
+  - autumn_to_winter_weight_ratio (lower, scaled_difference=-0.14)
+  - peak_month (lower, scaled_difference=-0.09)
+  - decay_to_growth_ratio (higher, scaled_difference=0.05)
+  - trough_month (higher, scaled_difference=0.01)
+
+Cluster 3
+---------
+Cluster of 2 species, mainly representing narrow winter seasonal presence. The fitted active window runs roughly from January to March, with a mean peak around February, and and an average width of 1.7 months. It is characterised by narrow season and moderate active window. Common high-support traits include winter peak, narrow season, and strong offseason suppression. Compared with the full species set, season end month is lower than the whole-set average and season midpoint month is lower than the whole-set average.
+
+Species (2):
+  Snowdrop
+  Winter Aconite
+
+Dominant model family : seasonal_presence
+Dominant class        : narrow_winter_seasonal_presence
+Common traits         : winter_peak (2, 100%), narrow_season (2, 100%), strong_offseason_suppression (2, 100%), central_peak_alignment (2, 100%), moderate_seasonal_window (1, 50%)
+
+Peak month mean/range : 2.40 (2.35 - 2.45)
+Season width mean     : 1.68 months
+
+Distinguishing numeric features:
+  - season_end_month (lower, scaled_difference=-0.70)
+  - season_midpoint_month (lower, scaled_difference=-0.67)
+  - season_start_month (lower, scaled_difference=-0.57)
+  - peak_month (lower, scaled_difference=-0.46)
+  - season_width_months (lower, scaled_difference=-0.39)
+
+Cluster 4
+---------
+Cluster of 8 species, mainly representing extended spring seasonal presence. The fitted active window runs roughly from April to October, with a mean peak around May, and and an average width of 6.0 months. It is characterised by broad season and moderate active window. Common high-support traits include spring peak, strong post peak decline, and early peak alignment.
+
+Species (8):
+  Buttercup
+  Red Dead Nettle
+  Doves Foot Cranesbill
+  Green Alkanet
+  Honeysuckle
+  Red Campion
+  Common Comfrey
+  Oxeye Daisy
+
+Dominant model family : seasonal_presence
+Dominant class        : extended_spring_seasonal_presence
+Common traits         : spring_peak (8, 100%), strong_post_peak_decline (8, 100%), early_peak_alignment (7, 88%), strong_offseason_suppression (7, 88%), moderate_seasonal_window (5, 62%)
+
+Peak month mean/range : 5.13 (4.21 - 5.41)
+Season width mean     : 6.02 months
+
+Distinguishing numeric features:
+  - season_width_months (higher, scaled_difference=0.25)
+  - fit_score (lower, scaled_difference=-0.11)
+  - season_start_month (lower, scaled_difference=-0.10)
+  - season_end_month (higher, scaled_difference=0.07)
+  - peak_month (lower, scaled_difference=-0.05)
+
+Cluster 5
+---------
+Cluster of 7 species, mainly representing extended summer seasonal presence. The fitted active window runs roughly from May to November, with a mean peak around July, and and an average width of 5.7 months. It is characterised by very broad season and moderate active window. Common high-support traits include summer peak, strong offseason suppression, and strong post peak decline.
+
+Species (7):
+  Dog Rose
+  Teasel
+  Red Clover
+  White Campion
+  Cuckoo Pint
+  Common Poppy
+  Cornflower
+
+Dominant model family : seasonal_presence
+Dominant class        : extended_summer_seasonal_presence
+Common traits         : summer_peak (7, 100%), strong_offseason_suppression (7, 100%), strong_post_peak_decline (6, 86%), early_peak_alignment (6, 86%), very_broad_season (4, 57%)
+
+Peak month mean/range : 6.62 (5.86 - 7.86)
+Season width mean     : 5.73 months
+
+Distinguishing numeric features:
+  - season_midpoint_month (higher, scaled_difference=0.22)
+  - season_width_months (higher, scaled_difference=0.21)
+  - season_end_month (higher, scaled_difference=0.19)
+  - peak_month (higher, scaled_difference=0.18)
+  - season_start_month (higher, scaled_difference=0.17)
+
+Cluster 6
+---------
+Cluster of 4 species, mainly representing moderate summer seasonal presence. The fitted active window runs roughly from May to September, with a mean peak around July, and and an average width of 3.5 months. It is characterised by moderate season and moderate active window. Common high-support traits include summer peak, central peak alignment, and moderate seasonal window.
+
+Species (4):
+  Horsetail
+  Rosebay Willowherb
+  Goats Beard
+  White Clover
+
+Dominant model family : seasonal_presence
+Dominant class        : moderate_summer_seasonal_presence
+Common traits         : summer_peak (4, 100%), central_peak_alignment (4, 100%), moderate_seasonal_window (3, 75%), moderate_post_peak_decline (3, 75%), moderate_season (3, 75%)
+
+Peak month mean/range : 6.80 (6.17 - 8.27)
+Season width mean     : 3.50 months
+
+Distinguishing numeric features:
+  - season_start_month (higher, scaled_difference=0.21)
+  - peak_month (higher, scaled_difference=0.20)
+  - fit_score (lower, scaled_difference=-0.17)
+  - season_width_months (lower, scaled_difference=-0.12)
+  - season_midpoint_month (higher, scaled_difference=0.07)
+
+Cluster 7
+---------
+Cluster of 5 species, mainly representing moderate spring seasonal presence. The fitted active window runs roughly from April to June, with a mean peak around May, and and an average width of 2.6 months. It is characterised by moderate season and sharp active window. Common high-support traits include spring peak, moderate season, and strong offseason suppression. Compared with the full species set, season end month is lower than the whole-set average.
+
+Species (5):
+  Common Vetch
+  Cow Parsley
+  Lesser Celandine
+  Cowslip
+  Garlic Mustard
+
+Dominant model family : seasonal_presence
+Dominant class        : moderate_spring_seasonal_presence
+Common traits         : spring_peak (5, 100%), moderate_season (5, 100%), strong_offseason_suppression (5, 100%), central_peak_alignment (5, 100%), sharp_seasonal_window (4, 80%)
+
+Peak month mean/range : 4.80 (4.25 - 5.19)
+Season width mean     : 2.64 months
+
+Distinguishing numeric features:
+  - season_end_month (lower, scaled_difference=-0.32)
+  - season_width_months (lower, scaled_difference=-0.25)
+  - season_midpoint_month (lower, scaled_difference=-0.24)
+  - fit_score (lower, scaled_difference=-0.17)
+  - peak_month (lower, scaled_difference=-0.10)
+
+Cluster 8
+---------
+Cluster of 2 species, mainly representing narrow spring seasonal presence. The fitted active window runs roughly from May to June, with a mean peak around May, and and an average width of 1.1 months. It is characterised by narrow season and sharp active window. Common high-support traits include spring peak, narrow season, and moderate offseason suppression. Compared with the full species set, season width months is lower than the whole-set average and season end month is lower than the whole-set average.
+
+Species (2):
+  Bluebell
+  Yellow Flag Iris
+
+Dominant model family : seasonal_presence
+Dominant class        : narrow_spring_seasonal_presence
+Common traits         : spring_peak (2, 100%), narrow_season (2, 100%), moderate_offseason_suppression (2, 100%), central_peak_alignment (2, 100%), sharp_seasonal_window (1, 50%)
+
+Peak month mean/range : 5.16 (4.88 - 5.45)
+Season width mean     : 1.12 months
+
+Distinguishing numeric features:
+  - season_width_months (lower, scaled_difference=-0.47)
+  - season_end_month (lower, scaled_difference=-0.39)
+  - season_midpoint_month (lower, scaled_difference=-0.21)
+  - fit_score (lower, scaled_difference=-0.14)
+  - season_start_month (higher, scaled_difference=0.09)
diff --git a/modelling/data/abingdon-flowers/analysis/feature_matrix.json b/modelling/data/abingdon-flowers/analysis/feature_matrix.json
new file mode 100644
index 0000000..dc74f52
--- /dev/null
+++ b/modelling/data/abingdon-flowers/analysis/feature_matrix.json
@@ -0,0 +1,1686 @@
+{
+  "schema_version": "species-feature-table/v1",
+  "created_utc": "2026-05-21T14:39:35.227419+00:00",
+  "description": "Whole-set seasonal ecology feature table compiled from per-species classification JSON files.",
+  "n_species": 35,
+  "source_files": [
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/resident/common_cleavers_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/resident/daisy_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/resident/dandelion_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/resident/germander_speedwell_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/resident/nettle_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/resident/shepherds_purse_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/bluebell_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/buttercup_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/common_comfrey_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/common_poppy_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/common_vetch_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/cornflower_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/cow_parsley_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/cowslip_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/cuckoo_pint_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/dog_rose_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/doves_foot_cranesbill_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/garlic_mustard_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/goats_beard_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/green_alkanet_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/honeysuckle_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/horsetail_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/lesser_celandine_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/oxeye_daisy_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/red_campion_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/red_clover_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/red_dead_nettle_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/rosebay_willowherb_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/snowdrop_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/teasel_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/white_campion_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/white_clover_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/winter_aconite_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/yellow_flag_iris_classification.json",
+    "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/winter/snowberry_classification.json"
+  ],
+  "features": [
+    {
+      "species": "Common Cleavers",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "low",
+      "fit_score": 0.443,
+      "n_warnings": 0,
+      "peak_month": 5,
+      "peak_label": "May",
+      "trough_month": 9,
+      "trough_label": "September",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "weak",
+      "timing": "late_spring_early_summer",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.21404045898897828,
+      "target_amplitude": 0.6575175486696657,
+      "baseline_to_peak_ratio": 0.06803489734013847,
+      "autumn_to_winter_weight_ratio": 0.043859649122807015,
+      "year_end_to_winter_weight_ratio": 0.18771929824561404,
+      "decay_to_growth_ratio": 1.2490450725744844,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "weak_baseline_presence",
+        "late_spring_early_summer_detectability_peak",
+        "autumn_detectability_trough",
+        "weak_spring_carryover",
+        "moderate_summer_suppression",
+        "strong_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "weak_autumn_component",
+        "weak_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/resident/common_cleavers_classification.json",
+      "summary": "Common Cleavers is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around May and reaches its lowest point around September. The model indicates weak baseline presence, weak spring carry-over, strong pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+    },
+    {
+      "species": "Daisy",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "medium",
+      "fit_score": 0.249,
+      "n_warnings": 0,
+      "peak_month": 5,
+      "peak_label": "May",
+      "trough_month": 9,
+      "trough_label": "September",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "moderate",
+      "timing": "late_spring_early_summer",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.34079283471359834,
+      "target_amplitude": 0.5609681031670967,
+      "baseline_to_peak_ratio": 0.26282033010438555,
+      "autumn_to_winter_weight_ratio": 0.055776892430278883,
+      "year_end_to_winter_weight_ratio": 0.3107569721115538,
+      "decay_to_growth_ratio": 1.5664136622390892,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "moderate_baseline_presence",
+        "late_spring_early_summer_detectability_peak",
+        "autumn_detectability_trough",
+        "weak_spring_carryover",
+        "moderate_summer_suppression",
+        "moderate_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/resident/daisy_classification.json",
+      "summary": "Daisy is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around May and reaches its lowest point around September. The model indicates moderate baseline presence, weak spring carry-over, strong pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+    },
+    {
+      "species": "Dandelion",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "low",
+      "fit_score": 0.367,
+      "n_warnings": 0,
+      "peak_month": 4,
+      "peak_label": "April",
+      "trough_month": 8,
+      "trough_label": "August",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "weak",
+      "timing": "spring",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.17122105315475547,
+      "target_amplitude": 0.5343576847288469,
+      "baseline_to_peak_ratio": 0.08084497681169209,
+      "autumn_to_winter_weight_ratio": 0.04436860068259386,
+      "year_end_to_winter_weight_ratio": 0.25597269624573377,
+      "decay_to_growth_ratio": 1.6020618556701032,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "weak_baseline_presence",
+        "spring_detectability_peak",
+        "summer_detectability_trough",
+        "weak_spring_carryover",
+        "moderate_summer_suppression",
+        "moderate_summer_decay_acceleration",
+        "strong_pre_summer_retention",
+        "weak_autumn_component",
+        "weak_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/resident/dandelion_classification.json",
+      "summary": "Dandelion is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around April and reaches its lowest point around August. The model indicates weak baseline presence, weak spring carry-over, strong pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+    },
+    {
+      "species": "Germander Speedwell",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "low",
+      "fit_score": 0.417,
+      "n_warnings": 0,
+      "peak_month": 5,
+      "peak_label": "May",
+      "trough_month": 9,
+      "trough_label": "September",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "weak",
+      "timing": "late_spring_early_summer",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "decline_biased",
+      "target_mean_value": 0.19006020014144828,
+      "target_amplitude": 0.5895043526086411,
+      "baseline_to_peak_ratio": 0.0709205172365685,
+      "autumn_to_winter_weight_ratio": 0.04664179104477612,
+      "year_end_to_winter_weight_ratio": 0.2798507462686567,
+      "decay_to_growth_ratio": 1.6262178919397696,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "weak_baseline_presence",
+        "late_spring_early_summer_detectability_peak",
+        "autumn_detectability_trough",
+        "weak_spring_carryover",
+        "moderate_summer_suppression",
+        "moderate_summer_decay_acceleration",
+        "moderate_pre_summer_retention",
+        "weak_autumn_component",
+        "weak_year_end_component",
+        "decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/resident/germander_speedwell_classification.json",
+      "summary": "Germander Speedwell is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around May and reaches its lowest point around September. The model indicates weak baseline presence, weak spring carry-over, moderate pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+    },
+    {
+      "species": "Nettle",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "medium",
+      "fit_score": 0.317,
+      "n_warnings": 0,
+      "peak_month": 5,
+      "peak_label": "May",
+      "trough_month": 9,
+      "trough_label": "September",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "moderate",
+      "timing": "late_spring_early_summer",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "weak",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.49486562136948054,
+      "target_amplitude": 0.666191092292284,
+      "baseline_to_peak_ratio": 0.29609884286710064,
+      "autumn_to_winter_weight_ratio": 0.05,
+      "year_end_to_winter_weight_ratio": 0.3730769230769231,
+      "decay_to_growth_ratio": 1.6388174807197944,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "moderate_baseline_presence",
+        "late_spring_early_summer_detectability_peak",
+        "autumn_detectability_trough",
+        "moderate_spring_carryover",
+        "moderate_summer_suppression",
+        "strong_summer_decay_acceleration",
+        "moderate_pre_summer_retention",
+        "weak_autumn_component",
+        "meaningful_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/resident/nettle_classification.json",
+      "summary": "Nettle is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around May and reaches its lowest point around September. The model indicates moderate baseline presence, moderate spring carry-over, moderate pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+    },
+    {
+      "species": "Shepherds Purse",
+      "model_family": "resident_detectability",
+      "schema_version": "resident-classification/v1",
+      "primary_class": "resident_with_summer_detectability_collapse",
+      "confidence": "medium",
+      "fit_score": 0.316,
+      "n_warnings": 0,
+      "peak_month": 5,
+      "peak_label": "May",
+      "trough_month": 9,
+      "trough_label": "September",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "moderate",
+      "timing": "late_spring_early_summer",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "minimal",
+      "response_dynamics": "rapid_decline_biased",
+      "target_mean_value": 0.342655888022306,
+      "target_amplitude": 0.5569413022187641,
+      "baseline_to_peak_ratio": 0.2831615682175547,
+      "autumn_to_winter_weight_ratio": 0.038461538461538464,
+      "year_end_to_winter_weight_ratio": 0.25274725274725274,
+      "decay_to_growth_ratio": 1.7541345093715546,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "resident_detectability_pattern",
+        "moderate_baseline_presence",
+        "late_spring_early_summer_detectability_peak",
+        "autumn_detectability_trough",
+        "weak_spring_carryover",
+        "moderate_summer_suppression",
+        "strong_summer_decay_acceleration",
+        "moderate_pre_summer_retention",
+        "minimal_autumn_component",
+        "weak_year_end_component",
+        "rapid_decline_biased_response_dynamics"
+      ],
+      "trait_count": 11,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/resident/shepherds_purse_classification.json",
+      "summary": "Shepherds Purse is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around May and reaches its lowest point around September. The model indicates moderate baseline presence, weak spring carry-over, moderate pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+    },
+    {
+      "species": "Bluebell",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "narrow_spring_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.039,
+      "n_warnings": 0,
+      "peak_month": 4.875,
+      "peak_label": "May",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 4.08,
+      "season_start_label": "April",
+      "season_end_month": 5.55,
+      "season_end_label": "June",
+      "season_width_months": 1.47,
+      "season_midpoint_month": 4.815,
+      "baseline_presence": null,
+      "timing": "spring",
+      "season_width_class": "narrow",
+      "window_shape": "sharp",
+      "post_peak_decline": "moderate",
+      "offseason_suppression": "moderate",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "spring_peak",
+        "narrow_season",
+        "sharp_seasonal_window",
+        "moderate_post_peak_decline",
+        "moderate_offseason_suppression",
+        "central_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/bluebell_classification.json",
+      "summary": "Bluebell is classified as narrow spring seasonal presence. The fitted seasonal window runs from about April to June, with a spring peak around May. The season is narrow, with a sharp active window, moderate post-peak decline, and moderate off-season suppression."
+    },
+    {
+      "species": "Buttercup",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "extended_spring_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.042,
+      "n_warnings": 0,
+      "peak_month": 5.41,
+      "peak_label": "May",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 3.41,
+      "season_start_label": "March",
+      "season_end_month": 10.31,
+      "season_end_label": "October",
+      "season_width_months": 6.9,
+      "season_midpoint_month": 6.86,
+      "baseline_presence": null,
+      "timing": "spring",
+      "season_width_class": "very_broad",
+      "window_shape": "moderate",
+      "post_peak_decline": "strong",
+      "offseason_suppression": "moderate",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "spring_peak",
+        "very_broad_season",
+        "moderate_seasonal_window",
+        "strong_post_peak_decline",
+        "moderate_offseason_suppression",
+        "early_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/buttercup_classification.json",
+      "summary": "Buttercup is classified as extended spring seasonal presence. The fitted seasonal window runs from about March to October, with a spring peak around May. The season is very_broad, with a moderate active window, strong post-peak decline, and moderate off-season suppression."
+    },
+    {
+      "species": "Common Comfrey",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "extended_spring_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.035,
+      "n_warnings": 0,
+      "peak_month": 5.245,
+      "peak_label": "May",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 3.355,
+      "season_start_label": "March",
+      "season_end_month": 9.32,
+      "season_end_label": "September",
+      "season_width_months": 5.965,
+      "season_midpoint_month": 6.3375,
+      "baseline_presence": null,
+      "timing": "spring",
+      "season_width_class": "broad",
+      "window_shape": "moderate",
+      "post_peak_decline": "strong",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "spring_peak",
+        "broad_season",
+        "moderate_seasonal_window",
+        "strong_post_peak_decline",
+        "strong_offseason_suppression",
+        "early_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/common_comfrey_classification.json",
+      "summary": "Common Comfrey is classified as extended spring seasonal presence. The fitted seasonal window runs from about March to September, with a spring peak around May. The season is broad, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Common Poppy",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "extended_summer_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.046,
+      "n_warnings": 0,
+      "peak_month": 5.91,
+      "peak_label": "June",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 4.815,
+      "season_start_label": "May",
+      "season_end_month": 9.995,
+      "season_end_label": "October",
+      "season_width_months": 5.18,
+      "season_midpoint_month": 7.405,
+      "baseline_presence": null,
+      "timing": "summer",
+      "season_width_class": "broad",
+      "window_shape": "sharp",
+      "post_peak_decline": "strong",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "summer_peak",
+        "broad_season",
+        "sharp_seasonal_window",
+        "strong_post_peak_decline",
+        "strong_offseason_suppression",
+        "early_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/common_poppy_classification.json",
+      "summary": "Common Poppy is classified as extended summer seasonal presence. The fitted seasonal window runs from about May to October, with a summer peak around June. The season is broad, with a sharp active window, strong post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Common Vetch",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "moderate_spring_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.036,
+      "n_warnings": 0,
+      "peak_month": 5.19,
+      "peak_label": "May",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 4.545,
+      "season_start_label": "May",
+      "season_end_month": 7.19,
+      "season_end_label": "July",
+      "season_width_months": 2.645,
+      "season_midpoint_month": 5.8675,
+      "baseline_presence": null,
+      "timing": "spring",
+      "season_width_class": "moderate",
+      "window_shape": "sharp",
+      "post_peak_decline": "strong",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "spring_peak",
+        "moderate_season",
+        "sharp_seasonal_window",
+        "strong_post_peak_decline",
+        "strong_offseason_suppression",
+        "central_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/common_vetch_classification.json",
+      "summary": "Common Vetch is classified as moderate spring seasonal presence. The fitted seasonal window runs from about May to July, with a spring peak around May. The season is moderate, with a sharp active window, strong post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Cornflower",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "extended_summer_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.017,
+      "n_warnings": 0,
+      "peak_month": 6.89,
+      "peak_label": "July",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 6.11,
+      "season_start_label": "June",
+      "season_end_month": 10.205,
+      "season_end_label": "October",
+      "season_width_months": 4.095,
+      "season_midpoint_month": 8.1575,
+      "baseline_presence": null,
+      "timing": "summer",
+      "season_width_class": "broad",
+      "window_shape": "moderate",
+      "post_peak_decline": "strong",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "summer_peak",
+        "broad_season",
+        "moderate_seasonal_window",
+        "strong_post_peak_decline",
+        "strong_offseason_suppression",
+        "early_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/cornflower_classification.json",
+      "summary": "Cornflower is classified as extended summer seasonal presence. The fitted seasonal window runs from about June to October, with a summer peak around July. The season is broad, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Cow Parsley",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "moderate_spring_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.015,
+      "n_warnings": 0,
+      "peak_month": 5.11,
+      "peak_label": "May",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 4.245,
+      "season_start_label": "April",
+      "season_end_month": 7.395,
+      "season_end_label": "July",
+      "season_width_months": 3.15,
+      "season_midpoint_month": 5.82,
+      "baseline_presence": null,
+      "timing": "spring",
+      "season_width_class": "moderate",
+      "window_shape": "sharp",
+      "post_peak_decline": "strong",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "spring_peak",
+        "moderate_season",
+        "sharp_seasonal_window",
+        "strong_post_peak_decline",
+        "strong_offseason_suppression",
+        "central_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/cow_parsley_classification.json",
+      "summary": "Cow Parsley is classified as moderate spring seasonal presence. The fitted seasonal window runs from about April to July, with a spring peak around May. The season is moderate, with a sharp active window, strong post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Cowslip",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "moderate_spring_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.013,
+      "n_warnings": 0,
+      "peak_month": 4.245,
+      "peak_label": "April",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 3.365,
+      "season_start_label": "March",
+      "season_end_month": 5.43,
+      "season_end_label": "May",
+      "season_width_months": 2.065,
+      "season_midpoint_month": 4.3975,
+      "baseline_presence": null,
+      "timing": "spring",
+      "season_width_class": "moderate",
+      "window_shape": "sharp",
+      "post_peak_decline": "moderate",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "spring_peak",
+        "moderate_season",
+        "sharp_seasonal_window",
+        "moderate_post_peak_decline",
+        "strong_offseason_suppression",
+        "central_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/cowslip_classification.json",
+      "summary": "Cowslip is classified as moderate spring seasonal presence. The fitted seasonal window runs from about March to May, with a spring peak around April. The season is moderate, with a sharp active window, moderate post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Cuckoo Pint",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "extended_summer_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.068,
+      "n_warnings": 0,
+      "peak_month": 7.855,
+      "peak_label": "August",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 3.925,
+      "season_start_label": "April",
+      "season_end_month": 9.245,
+      "season_end_label": "September",
+      "season_width_months": 5.32,
+      "season_midpoint_month": 6.585,
+      "baseline_presence": null,
+      "timing": "summer",
+      "season_width_class": "broad",
+      "window_shape": "moderate",
+      "post_peak_decline": "strong",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "summer_peak",
+        "broad_season",
+        "moderate_seasonal_window",
+        "strong_post_peak_decline",
+        "strong_offseason_suppression",
+        "late_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/cuckoo_pint_classification.json",
+      "summary": "Cuckoo Pint is classified as extended summer seasonal presence. The fitted seasonal window runs from about April to September, with a summer peak around August. The season is broad, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Dog Rose",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "extended_summer_seasonal_presence",
+      "confidence": "medium",
+      "fit_score": 0.085,
+      "n_warnings": 0,
+      "peak_month": 5.855,
+      "peak_label": "June",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 5.12,
+      "season_start_label": "May",
+      "season_end_month": 11.455,
+      "season_end_label": "November",
+      "season_width_months": 6.335,
+      "season_midpoint_month": 8.2875,
+      "baseline_presence": null,
+      "timing": "summer",
+      "season_width_class": "very_broad",
+      "window_shape": "sharp",
+      "post_peak_decline": "strong",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "summer_peak",
+        "very_broad_season",
+        "sharp_seasonal_window",
+        "strong_post_peak_decline",
+        "strong_offseason_suppression",
+        "early_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/dog_rose_classification.json",
+      "summary": "Dog Rose is classified as extended summer seasonal presence. The fitted seasonal window runs from about May to November, with a summer peak around June. The season is very_broad, with a sharp active window, strong post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Doves Foot Cranesbill",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "extended_spring_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.042,
+      "n_warnings": 0,
+      "peak_month": 5.4,
+      "peak_label": "May",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 4.185,
+      "season_start_label": "April",
+      "season_end_month": 10.41,
+      "season_end_label": "October",
+      "season_width_months": 6.225,
+      "season_midpoint_month": 7.2975,
+      "baseline_presence": null,
+      "timing": "spring",
+      "season_width_class": "very_broad",
+      "window_shape": "sharp",
+      "post_peak_decline": "strong",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "spring_peak",
+        "very_broad_season",
+        "sharp_seasonal_window",
+        "strong_post_peak_decline",
+        "strong_offseason_suppression",
+        "early_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/doves_foot_cranesbill_classification.json",
+      "summary": "Doves Foot Cranesbill is classified as extended spring seasonal presence. The fitted seasonal window runs from about April to October, with a spring peak around May. The season is very_broad, with a sharp active window, strong post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Garlic Mustard",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "moderate_spring_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.02,
+      "n_warnings": 0,
+      "peak_month": 5.07,
+      "peak_label": "May",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 3.965,
+      "season_start_label": "April",
+      "season_end_month": 6.315,
+      "season_end_label": "June",
+      "season_width_months": 2.35,
+      "season_midpoint_month": 5.14,
+      "baseline_presence": null,
+      "timing": "spring",
+      "season_width_class": "moderate",
+      "window_shape": "sharp",
+      "post_peak_decline": "moderate",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "spring_peak",
+        "moderate_season",
+        "sharp_seasonal_window",
+        "moderate_post_peak_decline",
+        "strong_offseason_suppression",
+        "central_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/garlic_mustard_classification.json",
+      "summary": "Garlic Mustard is classified as moderate spring seasonal presence. The fitted seasonal window runs from about April to June, with a spring peak around May. The season is moderate, with a sharp active window, moderate post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Goats Beard",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "moderate_summer_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.021,
+      "n_warnings": 0,
+      "peak_month": 6.175,
+      "peak_label": "June",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 5.005,
+      "season_start_label": "May",
+      "season_end_month": 8.31,
+      "season_end_label": "August",
+      "season_width_months": 3.305,
+      "season_midpoint_month": 6.6575,
+      "baseline_presence": null,
+      "timing": "summer",
+      "season_width_class": "moderate",
+      "window_shape": "moderate",
+      "post_peak_decline": "strong",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "summer_peak",
+        "moderate_season",
+        "moderate_seasonal_window",
+        "strong_post_peak_decline",
+        "strong_offseason_suppression",
+        "central_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/goats_beard_classification.json",
+      "summary": "Goats Beard is classified as moderate summer seasonal presence. The fitted seasonal window runs from about May to August, with a summer peak around June. The season is moderate, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Green Alkanet",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "extended_spring_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.025,
+      "n_warnings": 0,
+      "peak_month": 5.25,
+      "peak_label": "May",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 3.27,
+      "season_start_label": "March",
+      "season_end_month": 8.29,
+      "season_end_label": "August",
+      "season_width_months": 5.02,
+      "season_midpoint_month": 5.78,
+      "baseline_presence": null,
+      "timing": "spring",
+      "season_width_class": "broad",
+      "window_shape": "moderate",
+      "post_peak_decline": "strong",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "spring_peak",
+        "broad_season",
+        "moderate_seasonal_window",
+        "strong_post_peak_decline",
+        "strong_offseason_suppression",
+        "central_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/green_alkanet_classification.json",
+      "summary": "Green Alkanet is classified as extended spring seasonal presence. The fitted seasonal window runs from about March to August, with a spring peak around May. The season is broad, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Honeysuckle",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "extended_spring_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.056,
+      "n_warnings": 0,
+      "peak_month": 4.96,
+      "peak_label": "May",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 4.17,
+      "season_start_label": "April",
+      "season_end_month": 9.085,
+      "season_end_label": "September",
+      "season_width_months": 4.915,
+      "season_midpoint_month": 6.6275,
+      "baseline_presence": null,
+      "timing": "spring",
+      "season_width_class": "broad",
+      "window_shape": "sharp",
+      "post_peak_decline": "strong",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "spring_peak",
+        "broad_season",
+        "sharp_seasonal_window",
+        "strong_post_peak_decline",
+        "strong_offseason_suppression",
+        "early_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/honeysuckle_classification.json",
+      "summary": "Honeysuckle is classified as extended spring seasonal presence. The fitted seasonal window runs from about April to September, with a spring peak around May. The season is broad, with a sharp active window, strong post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Horsetail",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "extended_summer_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.026,
+      "n_warnings": 0,
+      "peak_month": 6.58,
+      "peak_label": "July",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 4.235,
+      "season_start_label": "April",
+      "season_end_month": 8.78,
+      "season_end_label": "September",
+      "season_width_months": 4.545,
+      "season_midpoint_month": 6.5075,
+      "baseline_presence": null,
+      "timing": "summer",
+      "season_width_class": "broad",
+      "window_shape": "moderate",
+      "post_peak_decline": "moderate",
+      "offseason_suppression": "moderate",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "summer_peak",
+        "broad_season",
+        "moderate_seasonal_window",
+        "moderate_post_peak_decline",
+        "moderate_offseason_suppression",
+        "central_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/horsetail_classification.json",
+      "summary": "Horsetail is classified as extended summer seasonal presence. The fitted seasonal window runs from about April to September, with a summer peak around July. The season is broad, with a moderate active window, moderate post-peak decline, and moderate off-season suppression."
+    },
+    {
+      "species": "Lesser Celandine",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "moderate_spring_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.006,
+      "n_warnings": 0,
+      "peak_month": 4.36,
+      "peak_label": "April",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 2.28,
+      "season_start_label": "February",
+      "season_end_month": 5.25,
+      "season_end_label": "May",
+      "season_width_months": 2.97,
+      "season_midpoint_month": 3.765,
+      "baseline_presence": null,
+      "timing": "spring",
+      "season_width_class": "moderate",
+      "window_shape": "moderate",
+      "post_peak_decline": "moderate",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "spring_peak",
+        "moderate_season",
+        "moderate_seasonal_window",
+        "moderate_post_peak_decline",
+        "strong_offseason_suppression",
+        "central_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/lesser_celandine_classification.json",
+      "summary": "Lesser Celandine is classified as moderate spring seasonal presence. The fitted seasonal window runs from about February to May, with a spring peak around April. The season is moderate, with a moderate active window, moderate post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Oxeye Daisy",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "extended_spring_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.038,
+      "n_warnings": 0,
+      "peak_month": 5.365,
+      "peak_label": "May",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 4.47,
+      "season_start_label": "April",
+      "season_end_month": 10.18,
+      "season_end_label": "October",
+      "season_width_months": 5.71,
+      "season_midpoint_month": 7.325,
+      "baseline_presence": null,
+      "timing": "spring",
+      "season_width_class": "broad",
+      "window_shape": "moderate",
+      "post_peak_decline": "strong",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "spring_peak",
+        "broad_season",
+        "moderate_seasonal_window",
+        "strong_post_peak_decline",
+        "strong_offseason_suppression",
+        "early_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/oxeye_daisy_classification.json",
+      "summary": "Oxeye Daisy is classified as extended spring seasonal presence. The fitted seasonal window runs from about April to October, with a spring peak around May. The season is broad, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Red Campion",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "extended_spring_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.037,
+      "n_warnings": 0,
+      "peak_month": 5.16,
+      "peak_label": "May",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 4.135,
+      "season_start_label": "April",
+      "season_end_month": 9.95,
+      "season_end_label": "October",
+      "season_width_months": 5.815,
+      "season_midpoint_month": 7.0425,
+      "baseline_presence": null,
+      "timing": "spring",
+      "season_width_class": "broad",
+      "window_shape": "sharp",
+      "post_peak_decline": "strong",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "spring_peak",
+        "broad_season",
+        "sharp_seasonal_window",
+        "strong_post_peak_decline",
+        "strong_offseason_suppression",
+        "early_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/red_campion_classification.json",
+      "summary": "Red Campion is classified as extended spring seasonal presence. The fitted seasonal window runs from about April to October, with a spring peak around May. The season is broad, with a sharp active window, strong post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Red Clover",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "extended_summer_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.038,
+      "n_warnings": 0,
+      "peak_month": 6.355,
+      "peak_label": "June",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 4.25,
+      "season_start_label": "April",
+      "season_end_month": 11.115,
+      "season_end_label": "November",
+      "season_width_months": 6.865,
+      "season_midpoint_month": 7.6825,
+      "baseline_presence": null,
+      "timing": "summer",
+      "season_width_class": "very_broad",
+      "window_shape": "moderate",
+      "post_peak_decline": "strong",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "summer_peak",
+        "very_broad_season",
+        "moderate_seasonal_window",
+        "strong_post_peak_decline",
+        "strong_offseason_suppression",
+        "early_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/red_clover_classification.json",
+      "summary": "Red Clover is classified as extended summer seasonal presence. The fitted seasonal window runs from about April to November, with a summer peak around June. The season is very_broad, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Red Dead Nettle",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "extended_spring_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.057,
+      "n_warnings": 0,
+      "peak_month": 4.215,
+      "peak_label": "April",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 2.37,
+      "season_start_label": "February",
+      "season_end_month": 9.965,
+      "season_end_label": "October",
+      "season_width_months": 7.595,
+      "season_midpoint_month": 6.1675,
+      "baseline_presence": null,
+      "timing": "spring",
+      "season_width_class": "very_broad",
+      "window_shape": "moderate",
+      "post_peak_decline": "strong",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "spring_peak",
+        "very_broad_season",
+        "moderate_seasonal_window",
+        "strong_post_peak_decline",
+        "strong_offseason_suppression",
+        "early_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/red_dead_nettle_classification.json",
+      "summary": "Red Dead Nettle is classified as extended spring seasonal presence. The fitted seasonal window runs from about February to October, with a spring peak around April. The season is very_broad, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Rosebay Willowherb",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "moderate_summer_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.012,
+      "n_warnings": 0,
+      "peak_month": 8.265,
+      "peak_label": "August",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 6.075,
+      "season_start_label": "June",
+      "season_end_month": 9.3,
+      "season_end_label": "September",
+      "season_width_months": 3.225,
+      "season_midpoint_month": 7.6875,
+      "baseline_presence": null,
+      "timing": "summer",
+      "season_width_class": "moderate",
+      "window_shape": "sharp",
+      "post_peak_decline": "moderate",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "summer_peak",
+        "moderate_season",
+        "sharp_seasonal_window",
+        "moderate_post_peak_decline",
+        "strong_offseason_suppression",
+        "central_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/rosebay_willowherb_classification.json",
+      "summary": "Rosebay Willowherb is classified as moderate summer seasonal presence. The fitted seasonal window runs from about June to September, with a summer peak around August. The season is moderate, with a sharp active window, moderate post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Snowdrop",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "narrow_winter_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.003,
+      "n_warnings": 0,
+      "peak_month": 2.45,
+      "peak_label": "February",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 1.385,
+      "season_start_label": "January",
+      "season_end_month": 3.31,
+      "season_end_label": "March",
+      "season_width_months": 1.925,
+      "season_midpoint_month": 2.3475,
+      "baseline_presence": null,
+      "timing": "winter",
+      "season_width_class": "narrow",
+      "window_shape": "moderate",
+      "post_peak_decline": "strong",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "winter_peak",
+        "narrow_season",
+        "moderate_seasonal_window",
+        "strong_post_peak_decline",
+        "strong_offseason_suppression",
+        "central_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/snowdrop_classification.json",
+      "summary": "Snowdrop is classified as narrow winter seasonal presence. The fitted seasonal window runs from about January to March, with a winter peak around February. The season is narrow, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Teasel",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "extended_summer_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.052,
+      "n_warnings": 0,
+      "peak_month": 7.49,
+      "peak_label": "July",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 5.46,
+      "season_start_label": "May",
+      "season_end_month": 11.475,
+      "season_end_label": "November",
+      "season_width_months": 6.015,
+      "season_midpoint_month": 8.4675,
+      "baseline_presence": null,
+      "timing": "summer",
+      "season_width_class": "very_broad",
+      "window_shape": "sharp",
+      "post_peak_decline": "strong",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "summer_peak",
+        "very_broad_season",
+        "sharp_seasonal_window",
+        "strong_post_peak_decline",
+        "strong_offseason_suppression",
+        "early_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/teasel_classification.json",
+      "summary": "Teasel is classified as extended summer seasonal presence. The fitted seasonal window runs from about May to November, with a summer peak around July. The season is very_broad, with a sharp active window, strong post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "White Campion",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "extended_summer_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.063,
+      "n_warnings": 0,
+      "peak_month": 6.045,
+      "peak_label": "June",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 4.92,
+      "season_start_label": "May",
+      "season_end_month": 11.245,
+      "season_end_label": "November",
+      "season_width_months": 6.325,
+      "season_midpoint_month": 8.0825,
+      "baseline_presence": null,
+      "timing": "summer",
+      "season_width_class": "very_broad",
+      "window_shape": "moderate",
+      "post_peak_decline": "moderate",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "summer_peak",
+        "very_broad_season",
+        "moderate_seasonal_window",
+        "moderate_post_peak_decline",
+        "strong_offseason_suppression",
+        "early_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/white_campion_classification.json",
+      "summary": "White Campion is classified as extended summer seasonal presence. The fitted seasonal window runs from about May to November, with a summer peak around June. The season is very_broad, with a moderate active window, moderate post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "White Clover",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "moderate_summer_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.009,
+      "n_warnings": 0,
+      "peak_month": 6.305,
+      "peak_label": "June",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 5.375,
+      "season_start_label": "May",
+      "season_end_month": 8.3,
+      "season_end_label": "August",
+      "season_width_months": 2.925,
+      "season_midpoint_month": 6.8375,
+      "baseline_presence": null,
+      "timing": "summer",
+      "season_width_class": "moderate",
+      "window_shape": "moderate",
+      "post_peak_decline": "moderate",
+      "offseason_suppression": "moderate",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "summer_peak",
+        "moderate_season",
+        "moderate_seasonal_window",
+        "moderate_post_peak_decline",
+        "moderate_offseason_suppression",
+        "central_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/white_clover_classification.json",
+      "summary": "White Clover is classified as moderate summer seasonal presence. The fitted seasonal window runs from about May to August, with a summer peak around June. The season is moderate, with a moderate active window, moderate post-peak decline, and moderate off-season suppression."
+    },
+    {
+      "species": "Winter Aconite",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "narrow_winter_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.004,
+      "n_warnings": 0,
+      "peak_month": 2.355,
+      "peak_label": "February",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 1.505,
+      "season_start_label": "February",
+      "season_end_month": 2.945,
+      "season_end_label": "March",
+      "season_width_months": 1.44,
+      "season_midpoint_month": 2.225,
+      "baseline_presence": null,
+      "timing": "winter",
+      "season_width_class": "narrow",
+      "window_shape": "sharp",
+      "post_peak_decline": "moderate",
+      "offseason_suppression": "strong",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "winter_peak",
+        "narrow_season",
+        "sharp_seasonal_window",
+        "moderate_post_peak_decline",
+        "strong_offseason_suppression",
+        "central_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/winter_aconite_classification.json",
+      "summary": "Winter Aconite is classified as narrow winter seasonal presence. The fitted seasonal window runs from about February to March, with a winter peak around February. The season is narrow, with a sharp active window, moderate post-peak decline, and strong off-season suppression."
+    },
+    {
+      "species": "Yellow Flag Iris",
+      "model_family": "seasonal_presence",
+      "schema_version": "seasonal-classification/v1",
+      "primary_class": "narrow_spring_seasonal_presence",
+      "confidence": "high",
+      "fit_score": 0.018,
+      "n_warnings": 0,
+      "peak_month": 5.45,
+      "peak_label": "May",
+      "trough_month": null,
+      "trough_label": null,
+      "season_start_month": 5.115,
+      "season_start_label": "May",
+      "season_end_month": 5.885,
+      "season_end_label": "June",
+      "season_width_months": 0.77,
+      "season_midpoint_month": 5.5,
+      "baseline_presence": null,
+      "timing": "spring",
+      "season_width_class": "narrow",
+      "window_shape": "moderate",
+      "post_peak_decline": "strong",
+      "offseason_suppression": "moderate",
+      "summer_suppression": null,
+      "autumn_component": null,
+      "response_dynamics": null,
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": null,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": null,
+      "active_month_count_ge_0_10": null,
+      "traits": [
+        "spring_peak",
+        "narrow_season",
+        "moderate_seasonal_window",
+        "strong_post_peak_decline",
+        "moderate_offseason_suppression",
+        "central_peak_alignment"
+      ],
+      "trait_count": 6,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/seasonal/yellow_flag_iris_classification.json",
+      "summary": "Yellow Flag Iris is classified as narrow spring seasonal presence. The fitted seasonal window runs from about May to June, with a spring peak around May. The season is narrow, with a moderate active window, strong post-peak decline, and moderate off-season suppression."
+    },
+    {
+      "species": "Snowberry",
+      "model_family": "winter_presence",
+      "schema_version": "winter-classification/v1",
+      "primary_class": "winter_visitor_with_autumn_arrival_component",
+      "confidence": "medium",
+      "fit_score": 0.145,
+      "n_warnings": 0,
+      "peak_month": 9,
+      "peak_label": "September",
+      "trough_month": 3,
+      "trough_label": "March",
+      "season_start_month": null,
+      "season_start_label": null,
+      "season_end_month": null,
+      "season_end_label": null,
+      "season_width_months": null,
+      "season_midpoint_month": null,
+      "baseline_presence": "low",
+      "timing": "atypical",
+      "season_width_class": null,
+      "window_shape": null,
+      "post_peak_decline": null,
+      "offseason_suppression": null,
+      "summer_suppression": "moderate",
+      "autumn_component": "moderate",
+      "response_dynamics": "balanced",
+      "target_mean_value": null,
+      "target_amplitude": null,
+      "baseline_to_peak_ratio": null,
+      "autumn_to_winter_weight_ratio": 0.452991452991453,
+      "year_end_to_winter_weight_ratio": null,
+      "decay_to_growth_ratio": 1.4097560975609755,
+      "active_month_count_ge_0_10": 6,
+      "traits": [
+        "year_wrapping_winter_presence",
+        "atypical_winter_peak",
+        "moderate_autumn_component",
+        "moderate_summer_suppression",
+        "low_baseline_presence",
+        "moderate_winter_bump",
+        "balanced_response_dynamics"
+      ],
+      "trait_count": 7,
+      "source_file": "/Users/dave/Dropbox/Development/Projects/OdeSolver/modelling/data/abingdon-flowers/winter/snowberry_classification.json",
+      "summary": "Snowberry is classified as winter visitor with autumn arrival component. The fitted winter component peaks around September, with a moderate autumn component centred around October. The model has low baseline presence and moderate summer suppression centred around July. The fitted response dynamics suggest balanced."
+    }
+  ]
+}
diff --git a/modelling/data/abingdon-flowers/analysis/species_similarity.json b/modelling/data/abingdon-flowers/analysis/species_similarity.json
new file mode 100644
index 0000000..f77e08a
--- /dev/null
+++ b/modelling/data/abingdon-flowers/analysis/species_similarity.json
@@ -0,0 +1,15668 @@
+{
+  "schema_version": "species-similarity/v1",
+  "created_utc": "2026-05-21T14:39:35.234986+00:00",
+  "source_feature_schema_version": "species-feature-table/v1",
+  "source_feature_created_utc": "2026-05-21T14:39:35.227419+00:00",
+  "n_species": 35,
+  "top_n": 5,
+  "method": {
+    "description": "Weighted mixed-feature similarity using circular month distance, min-max scaled numeric distance, categorical exact-match distance, and Jaccard trait distance.",
+    "distance_range": "0 means identical on compared features; 1 means maximally different",
+    "similarity_range": "1 means most similar; 0 means least similar",
+    "component_weights": {
+      "circular_month": 0.4,
+      "numeric": 0.25,
+      "categorical": 0.2,
+      "traits": 0.15
+    },
+    "circular_month_features": {
+      "peak_month": 2.0,
+      "trough_month": 1.25,
+      "season_start_month": 1.25,
+      "season_end_month": 1.25,
+      "season_midpoint_month": 1.5
+    },
+    "numeric_features": {
+      "season_width_months": 1.5,
+      "target_mean_value": 1.0,
+      "target_amplitude": 1.0,
+      "baseline_to_peak_ratio": 1.0,
+      "autumn_to_winter_weight_ratio": 0.75,
+      "year_end_to_winter_weight_ratio": 0.75,
+      "decay_to_growth_ratio": 0.75,
+      "active_month_count_ge_0_10": 1.0,
+      "fit_score": 0.25
+    },
+    "categorical_features": {
+      "model_family": 1.0,
+      "primary_class": 1.0,
+      "confidence": 0.25,
+      "baseline_presence": 0.75,
+      "timing": 1.0,
+      "season_width_class": 0.75,
+      "window_shape": 0.75,
+      "post_peak_decline": 0.75,
+      "offseason_suppression": 0.75,
+      "summer_suppression": 0.75,
+      "autumn_component": 0.75,
+      "response_dynamics": 0.75
+    },
+    "missing_value_policy": "Missing feature values are skipped for that pair/component. Component weights are renormalised over available components."
+  },
+  "species": [
+    {
+      "species": "Common Cleavers",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Daisy",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Dandelion",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Germander Speedwell",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Nettle",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Shepherds Purse",
+      "model_family": "resident_detectability",
+      "primary_class": "resident_with_summer_detectability_collapse"
+    },
+    {
+      "species": "Bluebell",
+      "model_family": "seasonal_presence",
+      "primary_class": "narrow_spring_seasonal_presence"
+    },
+    {
+      "species": "Buttercup",
+      "model_family": "seasonal_presence",
+      "primary_class": "extended_spring_seasonal_presence"
+    },
+    {
+      "species": "Common Comfrey",
+      "model_family": "seasonal_presence",
+      "primary_class": "extended_spring_seasonal_presence"
+    },
+    {
+      "species": "Common Poppy",
+      "model_family": "seasonal_presence",
+      "primary_class": "extended_summer_seasonal_presence"
+    },
+    {
+      "species": "Common Vetch",
+      "model_family": "seasonal_presence",
+      "primary_class": "moderate_spring_seasonal_presence"
+    },
+    {
+      "species": "Cornflower",
+      "model_family": "seasonal_presence",
+      "primary_class": "extended_summer_seasonal_presence"
+    },
+    {
+      "species": "Cow Parsley",
+      "model_family": "seasonal_presence",
+      "primary_class": "moderate_spring_seasonal_presence"
+    },
+    {
+      "species": "Cowslip",
+      "model_family": "seasonal_presence",
+      "primary_class": "moderate_spring_seasonal_presence"
+    },
+    {
+      "species": "Cuckoo Pint",
+      "model_family": "seasonal_presence",
+      "primary_class": "extended_summer_seasonal_presence"
+    },
+    {
+      "species": "Dog Rose",
+      "model_family": "seasonal_presence",
+      "primary_class": "extended_summer_seasonal_presence"
+    },
+    {
+      "species": "Doves Foot Cranesbill",
+      "model_family": "seasonal_presence",
+      "primary_class": "extended_spring_seasonal_presence"
+    },
+    {
+      "species": "Garlic Mustard",
+      "model_family": "seasonal_presence",
+      "primary_class": "moderate_spring_seasonal_presence"
+    },
+    {
+      "species": "Goats Beard",
+      "model_family": "seasonal_presence",
+      "primary_class": "moderate_summer_seasonal_presence"
+    },
+    {
+      "species": "Green Alkanet",
+      "model_family": "seasonal_presence",
+      "primary_class": "extended_spring_seasonal_presence"
+    },
+    {
+      "species": "Honeysuckle",
+      "model_family": "seasonal_presence",
+      "primary_class": "extended_spring_seasonal_presence"
+    },
+    {
+      "species": "Horsetail",
+      "model_family": "seasonal_presence",
+      "primary_class": "extended_summer_seasonal_presence"
+    },
+    {
+      "species": "Lesser Celandine",
+      "model_family": "seasonal_presence",
+      "primary_class": "moderate_spring_seasonal_presence"
+    },
+    {
+      "species": "Oxeye Daisy",
+      "model_family": "seasonal_presence",
+      "primary_class": "extended_spring_seasonal_presence"
+    },
+    {
+      "species": "Red Campion",
+      "model_family": "seasonal_presence",
+      "primary_class": "extended_spring_seasonal_presence"
+    },
+    {
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+      "primary_class_b": "narrow_spring_seasonal_presence",
+      "similarity": 0.416156,
+      "distance": 0.583844,
+      "component_distances": {
+        "circular_month": 0.333542,
+        "numeric": 0.712256,
+        "categorical": 0.68,
+        "traits": 0.909091
+      },
+      "compared_feature_counts": {
+        "circular_month": 4,
+        "numeric": 2,
+        "categorical": 8,
+        "traits": 1
+      }
+    },
+    {
+      "species_a": "White Campion",
+      "species_b": "Snowberry",
+      "model_family_a": "seasonal_presence",
+      "model_family_b": "winter_presence",
+      "primary_class_a": "extended_summer_seasonal_presence",
+      "primary_class_b": "winter_visitor_with_autumn_arrival_component",
+      "similarity": 0.406409,
+      "distance": 0.593591,
+      "component_distances": {
+        "circular_month": 0.4925,
+        "numeric": 0.186364,
+        "categorical": 1.0,
+        "traits": 1.0
+      },
+      "compared_feature_counts": {
+        "circular_month": 1,
+        "numeric": 1,
+        "categorical": 4,
+        "traits": 0
+      }
+    },
+    {
+      "species_a": "White Clover",
+      "species_b": "Winter Aconite",
+      "model_family_a": "seasonal_presence",
+      "model_family_b": "seasonal_presence",
+      "primary_class_a": "moderate_summer_seasonal_presence",
+      "primary_class_b": "narrow_winter_seasonal_presence",
+      "similarity": 0.404192,
+      "distance": 0.595808,
+      "component_distances": {
+        "circular_month": 0.731944,
+        "numeric": 0.188123,
+        "categorical": 0.68,
+        "traits": 0.8
+      },
+      "compared_feature_counts": {
+        "circular_month": 4,
+        "numeric": 2,
+        "categorical": 8,
+        "traits": 2
+      }
+    },
+    {
+      "species_a": "White Clover",
+      "species_b": "Yellow Flag Iris",
+      "model_family_a": "seasonal_presence",
+      "model_family_b": "seasonal_presence",
+      "primary_class_a": "moderate_summer_seasonal_presence",
+      "primary_class_b": "narrow_spring_seasonal_presence",
+      "similarity": 0.641164,
+      "distance": 0.358836,
+      "component_distances": {
+        "circular_month": 0.196111,
+        "numeric": 0.273566,
+        "categorical": 0.56,
+        "traits": 0.666667
+      },
+      "compared_feature_counts": {
+        "circular_month": 4,
+        "numeric": 2,
+        "categorical": 8,
+        "traits": 3
+      }
+    },
+    {
+      "species_a": "White Clover",
+      "species_b": "Snowberry",
+      "model_family_a": "seasonal_presence",
+      "model_family_b": "winter_presence",
+      "primary_class_a": "moderate_summer_seasonal_presence",
+      "primary_class_b": "winter_visitor_with_autumn_arrival_component",
+      "similarity": 0.393061,
+      "distance": 0.606939,
+      "component_distances": {
+        "circular_month": 0.449167,
+        "numeric": 0.309091,
+        "categorical": 1.0,
+        "traits": 1.0
+      },
+      "compared_feature_counts": {
+        "circular_month": 1,
+        "numeric": 1,
+        "categorical": 4,
+        "traits": 0
+      }
+    },
+    {
+      "species_a": "Winter Aconite",
+      "species_b": "Yellow Flag Iris",
+      "model_family_a": "seasonal_presence",
+      "model_family_b": "seasonal_presence",
+      "primary_class_a": "narrow_winter_seasonal_presence",
+      "primary_class_b": "narrow_spring_seasonal_presence",
+      "similarity": 0.507494,
+      "distance": 0.492506,
+      "component_distances": {
+        "circular_month": 0.535833,
+        "numeric": 0.08869,
+        "categorical": 0.68,
+        "traits": 0.8
+      },
+      "compared_feature_counts": {
+        "circular_month": 4,
+        "numeric": 2,
+        "categorical": 8,
+        "traits": 2
+      }
+    },
+    {
+      "species_a": "Winter Aconite",
+      "species_b": "Snowberry",
+      "model_family_a": "seasonal_presence",
+      "model_family_b": "winter_presence",
+      "primary_class_a": "narrow_winter_seasonal_presence",
+      "primary_class_b": "winter_visitor_with_autumn_arrival_component",
+      "similarity": 0.212886,
+      "distance": 0.787114,
+      "component_distances": {
+        "circular_month": 0.8925,
+        "numeric": 0.320455,
+        "categorical": 1.0,
+        "traits": 1.0
+      },
+      "compared_feature_counts": {
+        "circular_month": 1,
+        "numeric": 1,
+        "categorical": 4,
+        "traits": 0
+      }
+    },
+    {
+      "species_a": "Yellow Flag Iris",
+      "species_b": "Snowberry",
+      "model_family_a": "seasonal_presence",
+      "model_family_b": "winter_presence",
+      "primary_class_a": "narrow_spring_seasonal_presence",
+      "primary_class_b": "winter_visitor_with_autumn_arrival_component",
+      "similarity": 0.341174,
+      "distance": 0.658826,
+      "component_distances": {
+        "circular_month": 0.591667,
+        "numeric": 0.288636,
+        "categorical": 1.0,
+        "traits": 1.0
+      },
+      "compared_feature_counts": {
+        "circular_month": 1,
+        "numeric": 1,
+        "categorical": 4,
+        "traits": 0
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/modelling/data/abingdon-flowers/analysis/species_similarity.txt b/modelling/data/abingdon-flowers/analysis/species_similarity.txt
new file mode 100644
index 0000000..ea77933
--- /dev/null
+++ b/modelling/data/abingdon-flowers/analysis/species_similarity.txt
@@ -0,0 +1,280 @@
+
+Common Cleavers
+---------------
+ 1. Germander Speedwell          similarity=0.841 distance=0.159
+ 2. Daisy                        similarity=0.764 distance=0.236
+ 3. Dandelion                    similarity=0.748 distance=0.252
+ 4. Nettle                       similarity=0.736 distance=0.264
+ 5. Shepherds Purse              similarity=0.734 distance=0.266
+
+Daisy
+-----
+ 1. Shepherds Purse              similarity=0.864 distance=0.136
+ 2. Nettle                       similarity=0.853 distance=0.147
+ 3. Germander Speedwell          similarity=0.780 distance=0.220
+ 4. Common Cleavers              similarity=0.764 distance=0.236
+ 5. Dandelion                    similarity=0.704 distance=0.296
+
+Dandelion
+---------
+ 1. Germander Speedwell          similarity=0.766 distance=0.234
+ 2. Common Cleavers              similarity=0.748 distance=0.252
+ 3. Daisy                        similarity=0.704 distance=0.296
+ 4. Shepherds Purse              similarity=0.655 distance=0.345
+ 5. Nettle                       similarity=0.593 distance=0.407
+
+Germander Speedwell
+-------------------
+ 1. Common Cleavers              similarity=0.841 distance=0.159
+ 2. Daisy                        similarity=0.780 distance=0.220
+ 3. Dandelion                    similarity=0.766 distance=0.234
+ 4. Shepherds Purse              similarity=0.748 distance=0.252
+ 5. Nettle                       similarity=0.715 distance=0.285
+
+Nettle
+------
+ 1. Daisy                        similarity=0.853 distance=0.147
+ 2. Shepherds Purse              similarity=0.819 distance=0.181
+ 3. Common Cleavers              similarity=0.736 distance=0.264
+ 4. Germander Speedwell          similarity=0.715 distance=0.285
+ 5. Dandelion                    similarity=0.593 distance=0.407
+
+Shepherds Purse
+---------------
+ 1. Daisy                        similarity=0.864 distance=0.136
+ 2. Nettle                       similarity=0.819 distance=0.181
+ 3. Germander Speedwell          similarity=0.748 distance=0.252
+ 4. Common Cleavers              similarity=0.734 distance=0.266
+ 5. Dandelion                    similarity=0.655 distance=0.345
+
+Bluebell
+--------
+ 1. Yellow Flag Iris             similarity=0.810 distance=0.190
+ 2. Garlic Mustard               similarity=0.794 distance=0.206
+ 3. Cowslip                      similarity=0.792 distance=0.208
+ 4. Common Vetch                 similarity=0.705 distance=0.295
+ 5. Cow Parsley                  similarity=0.691 distance=0.309
+
+Buttercup
+---------
+ 1. Red Dead Nettle              similarity=0.853 distance=0.147
+ 2. Doves Foot Cranesbill        similarity=0.836 distance=0.164
+ 3. Common Comfrey               similarity=0.820 distance=0.180
+ 4. Oxeye Daisy                  similarity=0.814 distance=0.186
+ 5. Red Clover                   similarity=0.778 distance=0.222
+
+Common Comfrey
+--------------
+ 1. Oxeye Daisy                  similarity=0.945 distance=0.055
+ 2. Green Alkanet                similarity=0.902 distance=0.098
+ 3. Red Campion                  similarity=0.895 distance=0.105
+ 4. Honeysuckle                  similarity=0.873 distance=0.127
+ 5. Red Dead Nettle              similarity=0.832 distance=0.168
+
+Common Poppy
+------------
+ 1. Dog Rose                     similarity=0.845 distance=0.155
+ 2. Cornflower                   similarity=0.842 distance=0.158
+ 3. Red Campion                  similarity=0.840 distance=0.160
+ 4. Honeysuckle                  similarity=0.828 distance=0.172
+ 5. Teasel                       similarity=0.824 distance=0.176
+
+Common Vetch
+------------
+ 1. Cow Parsley                  similarity=0.973 distance=0.027
+ 2. Garlic Mustard               similarity=0.888 distance=0.112
+ 3. Cowslip                      similarity=0.827 distance=0.173
+ 4. Goats Beard                  similarity=0.758 distance=0.242
+ 5. Lesser Celandine             similarity=0.752 distance=0.248
+
+Cornflower
+----------
+ 1. Common Poppy                 similarity=0.842 distance=0.158
+ 2. Cuckoo Pint                  similarity=0.823 distance=0.177
+ 3. Red Clover                   similarity=0.786 distance=0.214
+ 4. Oxeye Daisy                  similarity=0.770 distance=0.230
+ 5. Teasel                       similarity=0.769 distance=0.231
+
+Cow Parsley
+-----------
+ 1. Common Vetch                 similarity=0.973 distance=0.027
+ 2. Garlic Mustard               similarity=0.877 distance=0.123
+ 3. Cowslip                      similarity=0.816 distance=0.184
+ 4. Goats Beard                  similarity=0.771 distance=0.229
+ 5. Honeysuckle                  similarity=0.769 distance=0.231
+
+Cowslip
+-------
+ 1. Garlic Mustard               similarity=0.939 distance=0.061
+ 2. Lesser Celandine             similarity=0.873 distance=0.127
+ 3. Common Vetch                 similarity=0.827 distance=0.173
+ 4. Cow Parsley                  similarity=0.816 distance=0.184
+ 5. Bluebell                     similarity=0.792 distance=0.208
+
+Cuckoo Pint
+-----------
+ 1. Cornflower                   similarity=0.823 distance=0.177
+ 2. Common Poppy                 similarity=0.815 distance=0.185
+ 3. Horsetail                    similarity=0.784 distance=0.216
+ 4. Red Clover                   similarity=0.768 distance=0.232
+ 5. Common Comfrey               similarity=0.767 distance=0.233
+
+Dog Rose
+--------
+ 1. Teasel                       similarity=0.935 distance=0.065
+ 2. Red Clover                   similarity=0.867 distance=0.133
+ 3. White Campion                similarity=0.854 distance=0.146
+ 4. Common Poppy                 similarity=0.845 distance=0.155
+ 5. Doves Foot Cranesbill        similarity=0.824 distance=0.176
+
+Doves Foot Cranesbill
+---------------------
+ 1. Red Campion                  similarity=0.903 distance=0.097
+ 2. Oxeye Daisy                  similarity=0.852 distance=0.148
+ 3. Honeysuckle                  similarity=0.851 distance=0.149
+ 4. Buttercup                    similarity=0.836 distance=0.164
+ 5. Dog Rose                     similarity=0.824 distance=0.176
+
+Garlic Mustard
+--------------
+ 1. Cowslip                      similarity=0.939 distance=0.061
+ 2. Common Vetch                 similarity=0.888 distance=0.112
+ 3. Cow Parsley                  similarity=0.877 distance=0.123
+ 4. Lesser Celandine             similarity=0.836 distance=0.164
+ 5. Bluebell                     similarity=0.794 distance=0.206
+
+Goats Beard
+-----------
+ 1. White Clover                 similarity=0.853 distance=0.147
+ 2. Rosebay Willowherb           similarity=0.782 distance=0.218
+ 3. Cow Parsley                  similarity=0.771 distance=0.229
+ 4. Cornflower                   similarity=0.761 distance=0.239
+ 5. Common Vetch                 similarity=0.758 distance=0.242
+
+Green Alkanet
+-------------
+ 1. Common Comfrey               similarity=0.902 distance=0.098
+ 2. Oxeye Daisy                  similarity=0.863 distance=0.137
+ 3. Honeysuckle                  similarity=0.851 distance=0.149
+ 4. Red Campion                  similarity=0.817 distance=0.183
+ 5. Cow Parsley                  similarity=0.756 distance=0.244
+
+Honeysuckle
+-----------
+ 1. Red Campion                  similarity=0.946 distance=0.054
+ 2. Common Comfrey               similarity=0.873 distance=0.127
+ 3. Oxeye Daisy                  similarity=0.867 distance=0.133
+ 4. Doves Foot Cranesbill        similarity=0.851 distance=0.149
+ 5. Green Alkanet                similarity=0.851 distance=0.149
+
+Horsetail
+---------
+ 1. White Clover                 similarity=0.815 distance=0.185
+ 2. Cuckoo Pint                  similarity=0.784 distance=0.216
+ 3. Cornflower                   similarity=0.757 distance=0.243
+ 4. Common Poppy                 similarity=0.732 distance=0.268
+ 5. Goats Beard                  similarity=0.728 distance=0.272
+
+Lesser Celandine
+----------------
+ 1. Cowslip                      similarity=0.873 distance=0.127
+ 2. Garlic Mustard               similarity=0.836 distance=0.164
+ 3. Cow Parsley                  similarity=0.763 distance=0.237
+ 4. Common Vetch                 similarity=0.752 distance=0.248
+ 5. Bluebell                     similarity=0.688 distance=0.312
+
+Oxeye Daisy
+-----------
+ 1. Common Comfrey               similarity=0.945 distance=0.055
+ 2. Red Campion                  similarity=0.913 distance=0.087
+ 3. Honeysuckle                  similarity=0.867 distance=0.133
+ 4. Green Alkanet                similarity=0.863 distance=0.137
+ 5. Doves Foot Cranesbill        similarity=0.852 distance=0.148
+
+Red Campion
+-----------
+ 1. Honeysuckle                  similarity=0.946 distance=0.054
+ 2. Oxeye Daisy                  similarity=0.913 distance=0.087
+ 3. Doves Foot Cranesbill        similarity=0.903 distance=0.097
+ 4. Common Comfrey               similarity=0.895 distance=0.105
+ 5. Common Poppy                 similarity=0.840 distance=0.160
+
+Red Clover
+----------
+ 1. White Campion                similarity=0.889 distance=0.111
+ 2. Dog Rose                     similarity=0.867 distance=0.133
+ 3. Teasel                       similarity=0.845 distance=0.155
+ 4. Cornflower                   similarity=0.786 distance=0.214
+ 5. Common Poppy                 similarity=0.786 distance=0.214
+
+Red Dead Nettle
+---------------
+ 1. Buttercup                    similarity=0.853 distance=0.147
+ 2. Common Comfrey               similarity=0.832 distance=0.168
+ 3. Doves Foot Cranesbill        similarity=0.812 distance=0.188
+ 4. Oxeye Daisy                  similarity=0.795 distance=0.205
+ 5. Red Campion                  similarity=0.759 distance=0.241
+
+Rosebay Willowherb
+------------------
+ 1. White Clover                 similarity=0.786 distance=0.214
+ 2. Goats Beard                  similarity=0.782 distance=0.218
+ 3. Cornflower                   similarity=0.697 distance=0.303
+ 4. Cow Parsley                  similarity=0.681 distance=0.319
+ 5. Garlic Mustard               similarity=0.681 distance=0.319
+
+Snowdrop
+--------
+ 1. Winter Aconite               similarity=0.851 distance=0.149
+ 2. Lesser Celandine             similarity=0.650 distance=0.350
+ 3. Cowslip                      similarity=0.608 distance=0.392
+ 4. Yellow Flag Iris             similarity=0.593 distance=0.407
+ 5. Bluebell                     similarity=0.563 distance=0.437
+
+Teasel
+------
+ 1. Dog Rose                     similarity=0.935 distance=0.065
+ 2. Red Clover                   similarity=0.845 distance=0.155
+ 3. Common Poppy                 similarity=0.824 distance=0.176
+ 4. White Campion                similarity=0.817 distance=0.183
+ 5. Doves Foot Cranesbill        similarity=0.787 distance=0.213
+
+White Campion
+-------------
+ 1. Red Clover                   similarity=0.889 distance=0.111
+ 2. Dog Rose                     similarity=0.854 distance=0.146
+ 3. Teasel                       similarity=0.817 distance=0.183
+ 4. Common Poppy                 similarity=0.758 distance=0.242
+ 5. Cornflower                   similarity=0.752 distance=0.248
+
+White Clover
+------------
+ 1. Goats Beard                  similarity=0.853 distance=0.147
+ 2. Horsetail                    similarity=0.815 distance=0.185
+ 3. Rosebay Willowherb           similarity=0.786 distance=0.214
+ 4. Cornflower                   similarity=0.667 distance=0.333
+ 5. Garlic Mustard               similarity=0.666 distance=0.334
+
+Winter Aconite
+--------------
+ 1. Snowdrop                     similarity=0.851 distance=0.149
+ 2. Cowslip                      similarity=0.678 distance=0.322
+ 3. Bluebell                     similarity=0.662 distance=0.338
+ 4. Lesser Celandine             similarity=0.627 distance=0.373
+ 5. Garlic Mustard               similarity=0.617 distance=0.383
+
+Yellow Flag Iris
+----------------
+ 1. Bluebell                     similarity=0.810 distance=0.190
+ 2. Common Vetch                 similarity=0.698 distance=0.302
+ 3. Cow Parsley                  similarity=0.675 distance=0.325
+ 4. Garlic Mustard               similarity=0.666 distance=0.334
+ 5. Green Alkanet                similarity=0.643 distance=0.357
+
+Snowberry
+---------
+ 1. Cuckoo Pint                  similarity=0.530 distance=0.470
+ 2. Rosebay Willowherb           similarity=0.525 distance=0.475
+ 3. Teasel                       similarity=0.496 distance=0.504
+ 4. Cornflower                   similarity=0.437 distance=0.563
+ 5. Dog Rose                     similarity=0.422 distance=0.578
diff --git a/modelling/data/abingdon-flowers/analysis/species_similarity_heatmap.png b/modelling/data/abingdon-flowers/analysis/species_similarity_heatmap.png
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diff --git a/modelling/data/abingdon-flowers/resident/common_cleavers_classification.json b/modelling/data/abingdon-flowers/resident/common_cleavers_classification.json
new file mode 100644
index 0000000..5e163c5
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/common_cleavers_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Common Cleavers",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "weak",
+    "detectability_peak_timing": "late_spring_early_summer",
+    "detectability_trough_timing": "autumn",
+    "spring_carryover": "weak",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "strong",
+    "pre_summer_retention": "strong",
+    "autumn_component": "weak",
+    "year_end_component": "weak",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "weak_baseline_presence",
+      "late_spring_early_summer_detectability_peak",
+      "autumn_detectability_trough",
+      "weak_spring_carryover",
+      "moderate_summer_suppression",
+      "strong_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "weak_autumn_component",
+      "weak_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "low"
+  },
+  "derived_metrics": {
+    "target_peak_month": 5,
+    "target_peak_label": "May",
+    "target_trough_month": 9,
+    "target_trough_label": "September",
+    "target_peak_value": 0.7055202826282726,
+    "target_trough_value": 0.04800273395860682,
+    "target_mean_value": 0.21404045898897828,
+    "target_amplitude": 0.6575175486696657,
+    "baseline_to_peak_ratio": 0.06803489734013847,
+    "autumn_to_winter_weight_ratio": 0.043859649122807015,
+    "year_end_to_winter_weight_ratio": 0.18771929824561404,
+    "decay_to_growth_ratio": 1.2490450725744844,
+    "monthly_target": {
+      "January": 0.14001506374381778,
+      "February": 0.14056245031522496,
+      "March": 0.17567176356656627,
+      "April": 0.45532036764911293,
+      "May": 0.7055202826282726,
+      "June": 0.413111540600952,
+      "July": 0.16778419527638797,
+      "August": 0.04892130367703883,
+      "September": 0.04800273395860682,
+      "October": 0.05035251321000985,
+      "November": 0.07248100910281964,
+      "December": 0.15074228413892982
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.104,
+    "GROWTH_RATE": 2.618,
+    "DECAY_RATE": 3.27,
+    "SUMMER_DECAY_BOOST": 4.705,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.565,
+    "PRE_SUMMER_DECAY_END": 6.845,
+    "PRE_SUMMER_DECAY_SHARPNESS": 9.964,
+    "SPRING_CARRYOVER_WEIGHT": 0.092,
+    "SPRING_CARRYOVER_END": 7.115,
+    "SPRING_CARRYOVER_SHARPNESS": 19.888,
+    "BASELINE": 0.048,
+    "WINTER_WEIGHT": 0.57,
+    "AUTUMN_WEIGHT": 0.025,
+    "WINTER_PEAK": 4.885,
+    "AUTUMN_PEAK": 10.865,
+    "AUTUMN_ONSET": 10.285,
+    "AUTUMN_GATE_SHARPNESS": 6.434,
+    "WINTER_WIDTH": 9.585,
+    "WINTER_RISE_WIDTH": 10.904,
+    "WINTER_FALL_WIDTH": 8.511,
+    "AUTUMN_WIDTH": 7.598,
+    "AUTUMN_RISE_WIDTH": 7.374,
+    "AUTUMN_FALL_WIDTH": 8.79,
+    "SUMMER_DIP": 0.144,
+    "SUMMER_LOW": 1.945,
+    "SUMMER_ONSET": 4.47,
+    "SUMMER_GATE_SHARPNESS": 5.689,
+    "SUMMER_DECAY_ONSET": 7.16,
+    "SUMMER_DECAY_GATE_SHARPNESS": 16.458,
+    "SUMMER_WIDTH": 19.493,
+    "SUMMER_RISE_WIDTH": 31.448,
+    "SUMMER_FALL_WIDTH": 10.02,
+    "SCALE": 1.028,
+    "YEAR_END_WEIGHT": 0.107,
+    "YEAR_END_PEAK": 12.118,
+    "YEAR_END_WIDTH": 87.851,
+    "YEAR_END_RISE_WIDTH": 165.426,
+    "YEAR_END_FALL_WIDTH": 8.774
+  },
+  "fit": {
+    "score": 0.443
+  },
+  "warnings": [],
+  "summary": "Common Cleavers is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around May and reaches its lowest point around September. The model indicates weak baseline presence, weak spring carry-over, strong pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-flowers/resident/common_cleavers_consensus.json b/modelling/data/abingdon-flowers/resident/common_cleavers_consensus.json
new file mode 100644
index 0000000..12e8a58
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/common_cleavers_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.443",
+  "INITIAL_Y": "0.104",
+  "GROWTH_RATE": "2.618",
+  "DECAY_RATE": "3.27",
+  "SUMMER_DECAY_BOOST": "4.705",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.565",
+  "PRE_SUMMER_DECAY_END": "6.845",
+  "PRE_SUMMER_DECAY_SHARPNESS": "9.964",
+  "SPRING_CARRYOVER_WEIGHT": "0.092",
+  "SPRING_CARRYOVER_END": "7.115",
+  "SPRING_CARRYOVER_SHARPNESS": "19.888",
+  "BASELINE": "0.048",
+  "WINTER_WEIGHT": "0.57",
+  "AUTUMN_WEIGHT": "0.025",
+  "WINTER_PEAK": "4.885",
+  "AUTUMN_PEAK": "10.865",
+  "AUTUMN_ONSET": "10.285",
+  "AUTUMN_GATE_SHARPNESS": "6.434",
+  "WINTER_WIDTH": "9.585",
+  "WINTER_RISE_WIDTH": "10.904",
+  "WINTER_FALL_WIDTH": "8.511",
+  "AUTUMN_WIDTH": "7.598",
+  "AUTUMN_RISE_WIDTH": "7.374",
+  "AUTUMN_FALL_WIDTH": "8.79",
+  "SUMMER_DIP": "0.144",
+  "SUMMER_LOW": "1.945",
+  "SUMMER_ONSET": "4.47",
+  "SUMMER_GATE_SHARPNESS": "5.689",
+  "SUMMER_DECAY_ONSET": "7.16",
+  "SUMMER_DECAY_GATE_SHARPNESS": "16.458",
+  "SUMMER_WIDTH": "19.493",
+  "SUMMER_RISE_WIDTH": "31.448",
+  "SUMMER_FALL_WIDTH": "10.02",
+  "SCALE": "1.028",
+  "YEAR_END_WEIGHT": "0.107",
+  "YEAR_END_PEAK": "12.118",
+  "YEAR_END_WIDTH": "87.851",
+  "YEAR_END_RISE_WIDTH": "165.426",
+  "YEAR_END_FALL_WIDTH": "8.774",
+  "SPECIES": "Common Cleavers"
+}
diff --git a/modelling/data/abingdon-flowers/resident/common_cleavers_observed.csv b/modelling/data/abingdon-flowers/resident/common_cleavers_observed.csv
new file mode 100644
index 0000000..07158a9
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/common_cleavers_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,3
+3,14
+4,61
+5,69
+6,44
+7,4
+8,0
+9,0
+10,1
+11,3
+12,2
diff --git a/modelling/data/abingdon-flowers/resident/common_cleavers_parameters.csv b/modelling/data/abingdon-flowers/resident/common_cleavers_parameters.csv
new file mode 100644
index 0000000..e4a3fbe
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/common_cleavers_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 15:20:51,common_cleavers_observed.csv,0.4419872054990400898924119738,0.254,3.265,3.664,7.315,0.871,6.36,13.71,0.211,6.71,9.251,0.073,0.621,0.001,4.41,11.45,10.37,5.992,13.732,12.545,14.918,2.912,3.388,2.436,0.247,1.32,4.56,4.354,6.74,21.645,20.008,37.081,2.935,0.892,0.293,12.13,48.746,83.448,14.045
+2026-05-21 15:20:51,common_cleavers_observed.csv,0.5495779194567951828772559506,0.064,2.019,4.376,4.29,0.407,7.37,10.626,0.075,6.58,10.119,0.057,0.729,0.026,5.44,9.71,11.05,10.904,9.318,1.434,17.201,11.196,9.067,13.325,0.07,1.75,4.94,5.814,7.18,23.627,25.669,50.839,0.499,1.679,0.26,12.006,104.480,194.977,13.983
+2026-05-21 15:20:52,common_cleavers_observed.csv,4.024610240918527927475183786,0.115,1.866,0.138,0.432,0.233,7.29,13.828,0.153,6.68,21.844,0.035,0.273,0.026,3.51,10.86,8.36,7.83,6.896,1.438,12.354,5.074,8.414,1.733,0.057,1.09,3.55,4.202,7.34,21.731,13.971,10.923,17.019,1.047,0.257,12.045,103.998,194.797,13.198
+2026-05-21 15:20:52,common_cleavers_observed.csv,3.270852230520808994825397207,0.309,2.499,2.482,5.528,0.334,6.38,4.293,0.188,6.57,11.362,0.041,0.345,0.015,5.85,11.1,8.86,9.862,13.474,13.605,13.342,8.200,7.384,9.015,0.024,1.76,3.88,7.11,7.18,16.953,3.110,2.617,3.602,1.689,0.303,12.179,78.412,152.231,4.593
+2026-05-21 15:20:52,common_cleavers_observed.csv,4.374652912313154077077167235,0.081,3.261,2.591,3.354,0.061,7.09,15.894,0.05,6.56,21.62,0.026,0.023,0.0,3.74,11.16,9.24,5.12,17.189,15.628,18.75,3.846,3.616,4.075,0.025,2.43,4.02,4.817,7.5,10.833,30.502,48.375,12.628,1.649,0.087,12.187,81.452,148.132,14.773
+2026-05-21 15:20:53,common_cleavers_observed.csv,1.556140733936897639956538542,0.034,0.356,0.527,1.357,0.385,7.25,13.638,0.113,7.5,10.697,0.035,0.288,0.044,5.58,10.55,10.85,2.305,18.551,17.102,20.000,2.140,2.006,2.275,0.168,2.37,3.57,6.228,6.86,8.171,26.554,46.108,7.001,1.036,0.165,12.003,97.418,189.906,4.931
+2026-05-21 15:20:53,common_cleavers_observed.csv,3.618519871528074469802636051,0.143,2.087,4.55,2.616,0.763,6.97,4.787,0.035,6.86,9.679,0.01,0.049,0.03,3.95,10.08,10.52,4.064,13.201,19.457,6.945,5.803,9.739,1.867,0.005,1.95,4.6,7.444,7.54,17.11,31.369,58.711,4.027,1.397,0.198,12.298,112.014,218.682,5.347
+2026-05-21 15:20:53,common_cleavers_observed.csv,10.77075864801047621581665547,0.333,2.629,1.201,4.663,0.791,7.11,15.558,0.179,7.0,10.569,0.066,0.055,0.039,5.78,11.88,8.33,9.593,7.340,8.052,6.627,5.570,5.011,6.13,0.219,1.82,4.35,4.137,6.86,9.8,13.023,8.425,17.621,1.703,0.166,12.007,60.422,114.055,6.788
+2026-05-21 15:20:53,common_cleavers_observed.csv,0.3370404500130411760254149518,0.12,2.238,3.417,7.222,0.656,6.5,6.648,0.003,6.71,20.357,0.085,0.639,0.009,3.54,10.61,8.32,6.505,7.399,10.492,4.306,9.596,11.827,7.366,0.065,1.86,3.5,7.667,6.94,16.384,37.338,62.889,11.788,1.217,0.259,12.161,72.190,140.07,4.309
+2026-05-21 15:20:54,common_cleavers_observed.csv,1.044621797030078786330163834,0.299,0.936,1.783,0.901,0.752,6.47,13.408,0.155,7.52,10.258,0.053,0.561,0.009,4.2,10.25,10.92,9.172,14.790,17.067,12.514,4.224,6.41,2.039,0.226,2.19,4.41,2.532,7.02,15.323,41.502,68.157,14.848,1.229,0.063,12.168,108.641,211.904,5.378
+2026-05-21 15:20:54,common_cleavers_observed.csv,3.730066170153138297086537536,0.05,1.131,2.105,1.519,0.437,6.64,12.764,0.064,7.28,10.818,0.084,0.055,0.028,4.3,11.44,10.53,11.405,15.581,14.283,16.879,4.985,8.032,1.938,0.212,1.17,4.3,1.854,7.0,12.651,27.728,43.46,11.997,1.69,0.191,12.225,54.674,102.922,6.427
+2026-05-21 15:20:54,common_cleavers_observed.csv,20.05946848234920276213987556,0.014,0.514,0.56,1.574,0.913,6.76,6.441,0.184,6.99,14.538,0.02,0.288,0.031,4.42,10.15,11.06,5.41,2.979,4.471,1.487,4.074,6.56,1.587,0.176,2.19,4.65,3.563,7.36,11.32,28.772,56.709,0.836,1.661,0.224,12.075,61.708,111.389,12.028
+2026-05-21 15:20:55,common_cleavers_observed.csv,20.83651305290651651162048295,0.2,3.656,0.331,4.052,0.863,6.27,4.513,0.037,7.45,7.813,0.007,0.177,0.036,4.58,10.19,9.14,9.618,6.890,6.573,7.207,8.364,10.104,6.625,0.246,2.0,4.75,7.338,7.19,22.425,13.412,11.378,15.447,1.29,0.031,12.275,99.410,190.625,8.195
+2026-05-21 15:20:55,common_cleavers_observed.csv,8.056773598971097664571203647,0.318,1.136,5.622,4.519,0.001,6.82,9.387,0.171,7.06,14.842,0.03,0.15,0.032,4.38,10.01,11.31,10.692,8.962,1.508,16.417,5.798,9.174,2.423,0.182,1.05,3.98,4.665,7.21,9.384,12.858,23.739,1.977,1.783,0.16,12.288,101.468,191.036,11.901
+2026-05-21 15:20:55,common_cleavers_observed.csv,1.074859096790140590090647898,0.031,3.921,3.831,3.861,0.608,7.6,11.664,0.158,7.58,17.511,0.028,0.227,0.006,5.04,10.78,8.61,10.053,8.286,7.659,8.913,10.087,8.600,11.574,0.029,1.31,3.6,6.87,7.57,17.757,17.422,20.105,14.739,1.603,0.038,12.112,113.848,220.442,7.255
+2026-05-21 15:20:56,common_cleavers_observed.csv,1.139908919796474433587093158,0.283,2.862,3.47,3.862,0.725,6.97,13.566,0.115,6.83,19.563,0.042,0.632,0.048,4.05,10.64,11.15,10.936,15.882,19.577,12.186,12.030,11.948,12.111,0.161,2.48,4.63,5.729,6.9,16.066,34.915,66.071,3.759,1.76,0.022,12.099,91.450,178.684,4.216
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+2026-05-21 15:20:57,common_cleavers_observed.csv,1.845464967393186761628824154,0.079,2.469,3.285,5.097,0.282,6.82,14.636,0.165,6.63,19.39,0.084,0.24,0.044,4.02,11.66,8.81,8.472,9.954,16.765,3.142,5.458,4.282,6.633,0.221,11.6,3.8,7.701,7.37,6.707,31.655,46.217,17.093,1.661,0.26,12.243,100.122,190.966,9.277
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+2026-05-21 15:20:58,common_cleavers_observed.csv,2.149861607067444292308033083,0.26,3.547,0.832,3.359,0.446,6.7,4.136,0.063,6.65,20.126,0.006,0.522,0.013,5.49,10.78,10.49,11.919,9.304,8.215,10.392,9.088,12.921,5.256,0.236,1.53,4.36,6.342,7.29,9.513,3.760,2.18,5.34,1.641,0.103,12.263,91.908,168.924,14.893
+2026-05-21 15:20:58,common_cleavers_observed.csv,1.110200604430976189979992326,0.275,0.28,5.094,6.261,0.137,7.66,9.048,0.034,6.96,6.756,0.059,0.528,0.04,6.18,11.51,10.23,9.925,6.106,5.874,6.337,10.560,12.93,8.189,0.118,11.72,4.49,5.929,6.89,21.072,20.993,32.864,9.122,1.06,0.202,12.131,57.536,105.518,9.555
+2026-05-21 15:20:58,common_cleavers_observed.csv,0.3688889291281836129001408314,0.089,3.697,1.281,4.648,0.815,7.33,6.051,0.202,6.83,27.617,0.011,0.668,0.025,3.91,11.0,11.02,7.075,10.912,12.83,8.993,9.536,13.932,5.139,0.157,11.86,3.79,2.941,7.22,15.897,18.329,29.197,7.461,0.933,0.076,12.077,108.746,210.137,7.355
+2026-05-21 15:20:59,common_cleavers_observed.csv,0.3659680398925919723701783044,0.058,1.362,2.272,0.651,0.744,7.17,9.1,0.19,6.68,23.941,0.044,0.428,0.025,3.97,11.18,9.52,2.246,4.719,4.208,5.230,9.238,5.821,12.656,0.039,1.17,4.84,0.932,7.09,23.506,42.226,64.499,19.954,1.004,0.113,12.177,69.910,131.069,8.75
+2026-05-21 15:20:59,common_cleavers_observed.csv,26.43145382860156242196414830,0.274,3.935,0.099,2.169,0.704,7.11,14.502,0.086,7.02,20.479,0.081,0.712,0.016,5.99,11.1,9.19,7.003,14.800,13.366,16.234,13.266,13.671,12.861,0.093,11.9,4.8,2.269,6.85,20.755,36.588,60.954,12.222,1.332,0.254,12.137,83.958,154.66,13.255
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diff --git a/modelling/data/abingdon-flowers/resident/common_cleavers_synthesised.csv b/modelling/data/abingdon-flowers/resident/common_cleavers_synthesised.csv
new file mode 100644
index 0000000..d0e1268
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/common_cleavers_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-flowers/resident/common_cleavers_synthesised.png b/modelling/data/abingdon-flowers/resident/common_cleavers_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/resident/daisy_classification.json b/modelling/data/abingdon-flowers/resident/daisy_classification.json
new file mode 100644
index 0000000..8ab5d09
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/daisy_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Daisy",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "moderate",
+    "detectability_peak_timing": "late_spring_early_summer",
+    "detectability_trough_timing": "autumn",
+    "spring_carryover": "weak",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "moderate",
+    "pre_summer_retention": "strong",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "moderate_baseline_presence",
+      "late_spring_early_summer_detectability_peak",
+      "autumn_detectability_trough",
+      "weak_spring_carryover",
+      "moderate_summer_suppression",
+      "moderate_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "medium"
+  },
+  "derived_metrics": {
+    "target_peak_month": 5,
+    "target_peak_label": "May",
+    "target_trough_month": 9,
+    "target_trough_label": "September",
+    "target_peak_value": 0.7609761387962838,
+    "target_trough_value": 0.20000803562918706,
+    "target_mean_value": 0.34079283471359834,
+    "target_amplitude": 0.5609681031670967,
+    "baseline_to_peak_ratio": 0.26282033010438555,
+    "autumn_to_winter_weight_ratio": 0.055776892430278883,
+    "year_end_to_winter_weight_ratio": 0.3107569721115538,
+    "decay_to_growth_ratio": 1.5664136622390892,
+    "monthly_target": {
+      "January": 0.2790669031943553,
+      "February": 0.27933038945560984,
+      "March": 0.3092733217308124,
+      "April": 0.5796870220128069,
+      "May": 0.7609761387962838,
+      "June": 0.44632662916732724,
+      "July": 0.2822175557153291,
+      "August": 0.20010541373650922,
+      "September": 0.20000803562918706,
+      "October": 0.20958484845817021,
+      "November": 0.21586915667749368,
+      "December": 0.32706860198929505
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.202,
+    "GROWTH_RATE": 2.108,
+    "DECAY_RATE": 3.302,
+    "SUMMER_DECAY_BOOST": 3.968,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.506,
+    "PRE_SUMMER_DECAY_END": 6.83,
+    "PRE_SUMMER_DECAY_SHARPNESS": 7.38,
+    "SPRING_CARRYOVER_WEIGHT": 0.079,
+    "SPRING_CARRYOVER_END": 7.13,
+    "SPRING_CARRYOVER_SHARPNESS": 16.114,
+    "BASELINE": 0.2,
+    "WINTER_WEIGHT": 0.502,
+    "AUTUMN_WEIGHT": 0.028,
+    "WINTER_PEAK": 4.76,
+    "AUTUMN_PEAK": 9.88,
+    "AUTUMN_ONSET": 10.09,
+    "AUTUMN_GATE_SHARPNESS": 7.147,
+    "WINTER_WIDTH": 11.22,
+    "WINTER_RISE_WIDTH": 12.734,
+    "WINTER_FALL_WIDTH": 10.24,
+    "AUTUMN_WIDTH": 6.515,
+    "AUTUMN_RISE_WIDTH": 6.896,
+    "AUTUMN_FALL_WIDTH": 6.492,
+    "SUMMER_DIP": 0.102,
+    "SUMMER_LOW": 2.17,
+    "SUMMER_ONSET": 4.265,
+    "SUMMER_GATE_SHARPNESS": 5.042,
+    "SUMMER_DECAY_ONSET": 7.13,
+    "SUMMER_DECAY_GATE_SHARPNESS": 16.48,
+    "SUMMER_WIDTH": 22.143,
+    "SUMMER_RISE_WIDTH": 33.063,
+    "SUMMER_FALL_WIDTH": 11.028,
+    "SCALE": 1.072,
+    "YEAR_END_WEIGHT": 0.156,
+    "YEAR_END_PEAK": 12.148,
+    "YEAR_END_WIDTH": 82.315,
+    "YEAR_END_RISE_WIDTH": 154.602,
+    "YEAR_END_FALL_WIDTH": 8.024
+  },
+  "fit": {
+    "score": 0.249
+  },
+  "warnings": [],
+  "summary": "Daisy is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around May and reaches its lowest point around September. The model indicates moderate baseline presence, weak spring carry-over, strong pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-flowers/resident/daisy_consensus.json b/modelling/data/abingdon-flowers/resident/daisy_consensus.json
new file mode 100644
index 0000000..9fa4862
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/daisy_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.249",
+  "INITIAL_Y": "0.202",
+  "GROWTH_RATE": "2.108",
+  "DECAY_RATE": "3.302",
+  "SUMMER_DECAY_BOOST": "3.968",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.506",
+  "PRE_SUMMER_DECAY_END": "6.83",
+  "PRE_SUMMER_DECAY_SHARPNESS": "7.38",
+  "SPRING_CARRYOVER_WEIGHT": "0.079",
+  "SPRING_CARRYOVER_END": "7.13",
+  "SPRING_CARRYOVER_SHARPNESS": "16.114",
+  "BASELINE": "0.2",
+  "WINTER_WEIGHT": "0.502",
+  "AUTUMN_WEIGHT": "0.028",
+  "WINTER_PEAK": "4.76",
+  "AUTUMN_PEAK": "9.88",
+  "AUTUMN_ONSET": "10.09",
+  "AUTUMN_GATE_SHARPNESS": "7.147",
+  "WINTER_WIDTH": "11.22",
+  "WINTER_RISE_WIDTH": "12.734",
+  "WINTER_FALL_WIDTH": "10.24",
+  "AUTUMN_WIDTH": "6.515",
+  "AUTUMN_RISE_WIDTH": "6.896",
+  "AUTUMN_FALL_WIDTH": "6.492",
+  "SUMMER_DIP": "0.102",
+  "SUMMER_LOW": "2.17",
+  "SUMMER_ONSET": "4.265",
+  "SUMMER_GATE_SHARPNESS": "5.042",
+  "SUMMER_DECAY_ONSET": "7.13",
+  "SUMMER_DECAY_GATE_SHARPNESS": "16.48",
+  "SUMMER_WIDTH": "22.143",
+  "SUMMER_RISE_WIDTH": "33.063",
+  "SUMMER_FALL_WIDTH": "11.028",
+  "SCALE": "1.072",
+  "YEAR_END_WEIGHT": "0.156",
+  "YEAR_END_PEAK": "12.148",
+  "YEAR_END_WIDTH": "82.315",
+  "YEAR_END_RISE_WIDTH": "154.602",
+  "YEAR_END_FALL_WIDTH": "8.024",
+  "SPECIES": "Daisy"
+}
diff --git a/modelling/data/abingdon-flowers/resident/daisy_observed.csv b/modelling/data/abingdon-flowers/resident/daisy_observed.csv
new file mode 100644
index 0000000..6630c8e
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/daisy_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,10
+2,21
+3,59
+4,101
+5,103
+6,64
+7,34
+8,24
+9,10
+10,20
+11,19
+12,20
diff --git a/modelling/data/abingdon-flowers/resident/daisy_parameters.csv b/modelling/data/abingdon-flowers/resident/daisy_parameters.csv
new file mode 100644
index 0000000..5717ebd
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/daisy_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
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diff --git a/modelling/data/abingdon-flowers/resident/daisy_synthesised.csv b/modelling/data/abingdon-flowers/resident/daisy_synthesised.csv
new file mode 100644
index 0000000..16e3311
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/daisy_synthesised.csv
@@ -0,0 +1,13 @@
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+9,10,0.2004114,26.905420615370172
+10,20,0.21141459999999998,28.382610656031733
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diff --git a/modelling/data/abingdon-flowers/resident/daisy_synthesised.png b/modelling/data/abingdon-flowers/resident/daisy_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/resident/dandelion_classification.json b/modelling/data/abingdon-flowers/resident/dandelion_classification.json
new file mode 100644
index 0000000..26f4887
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/dandelion_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Dandelion",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "weak",
+    "detectability_peak_timing": "spring",
+    "detectability_trough_timing": "summer",
+    "spring_carryover": "weak",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "moderate",
+    "pre_summer_retention": "strong",
+    "autumn_component": "weak",
+    "year_end_component": "weak",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "weak_baseline_presence",
+      "spring_detectability_peak",
+      "summer_detectability_trough",
+      "weak_spring_carryover",
+      "moderate_summer_suppression",
+      "moderate_summer_decay_acceleration",
+      "strong_pre_summer_retention",
+      "weak_autumn_component",
+      "weak_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "low"
+  },
+  "derived_metrics": {
+    "target_peak_month": 4,
+    "target_peak_label": "April",
+    "target_trough_month": 8,
+    "target_trough_label": "August",
+    "target_peak_value": 0.5813595581760709,
+    "target_trough_value": 0.04700187344722388,
+    "target_mean_value": 0.17122105315475547,
+    "target_amplitude": 0.5343576847288469,
+    "baseline_to_peak_ratio": 0.08084497681169209,
+    "autumn_to_winter_weight_ratio": 0.04436860068259386,
+    "year_end_to_winter_weight_ratio": 0.25597269624573377,
+    "decay_to_growth_ratio": 1.6020618556701032,
+    "monthly_target": {
+      "January": 0.08709481169297376,
+      "February": 0.088699996306469,
+      "March": 0.17306065184692884,
+      "April": 0.5813595581760709,
+      "May": 0.5296556709651279,
+      "June": 0.15660748894530968,
+      "July": 0.07949449270923001,
+      "August": 0.04700187344722388,
+      "September": 0.047065378637895956,
+      "October": 0.06463262434817338,
+      "November": 0.05940930789036488,
+      "December": 0.14057078289129765
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.058,
+    "GROWTH_RATE": 1.94,
+    "DECAY_RATE": 3.108,
+    "SUMMER_DECAY_BOOST": 3.798,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.466,
+    "PRE_SUMMER_DECAY_END": 7.015,
+    "PRE_SUMMER_DECAY_SHARPNESS": 10.756,
+    "SPRING_CARRYOVER_WEIGHT": 0.04,
+    "SPRING_CARRYOVER_END": 7.075,
+    "SPRING_CARRYOVER_SHARPNESS": 16.555,
+    "BASELINE": 0.047,
+    "WINTER_WEIGHT": 0.586,
+    "AUTUMN_WEIGHT": 0.026,
+    "WINTER_PEAK": 4.42,
+    "AUTUMN_PEAK": 9.78,
+    "AUTUMN_ONSET": 9.875,
+    "AUTUMN_GATE_SHARPNESS": 6.566,
+    "WINTER_WIDTH": 11.383,
+    "WINTER_RISE_WIDTH": 13.532,
+    "WINTER_FALL_WIDTH": 12.09,
+    "AUTUMN_WIDTH": 6.428,
+    "AUTUMN_RISE_WIDTH": 5.649,
+    "AUTUMN_FALL_WIDTH": 7.12,
+    "SUMMER_DIP": 0.124,
+    "SUMMER_LOW": 1.94,
+    "SUMMER_ONSET": 4.18,
+    "SUMMER_GATE_SHARPNESS": 4.58,
+    "SUMMER_DECAY_ONSET": 7.21,
+    "SUMMER_DECAY_GATE_SHARPNESS": 16.496,
+    "SUMMER_WIDTH": 24.048,
+    "SUMMER_RISE_WIDTH": 34.624,
+    "SUMMER_FALL_WIDTH": 8.238,
+    "SCALE": 1.064,
+    "YEAR_END_WEIGHT": 0.15,
+    "YEAR_END_PEAK": 12.206,
+    "YEAR_END_WIDTH": 87.912,
+    "YEAR_END_RISE_WIDTH": 169.682,
+    "YEAR_END_FALL_WIDTH": 9.723
+  },
+  "fit": {
+    "score": 0.367
+  },
+  "warnings": [],
+  "summary": "Dandelion is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around April and reaches its lowest point around August. The model indicates weak baseline presence, weak spring carry-over, strong pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-flowers/resident/dandelion_consensus.json b/modelling/data/abingdon-flowers/resident/dandelion_consensus.json
new file mode 100644
index 0000000..d01a462
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/dandelion_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.367",
+  "INITIAL_Y": "0.058",
+  "GROWTH_RATE": "1.94",
+  "DECAY_RATE": "3.108",
+  "SUMMER_DECAY_BOOST": "3.798",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.466",
+  "PRE_SUMMER_DECAY_END": "7.015",
+  "PRE_SUMMER_DECAY_SHARPNESS": "10.756",
+  "SPRING_CARRYOVER_WEIGHT": "0.04",
+  "SPRING_CARRYOVER_END": "7.075",
+  "SPRING_CARRYOVER_SHARPNESS": "16.555",
+  "BASELINE": "0.047",
+  "WINTER_WEIGHT": "0.586",
+  "AUTUMN_WEIGHT": "0.026",
+  "WINTER_PEAK": "4.42",
+  "AUTUMN_PEAK": "9.78",
+  "AUTUMN_ONSET": "9.875",
+  "AUTUMN_GATE_SHARPNESS": "6.566",
+  "WINTER_WIDTH": "11.383",
+  "WINTER_RISE_WIDTH": "13.532",
+  "WINTER_FALL_WIDTH": "12.09",
+  "AUTUMN_WIDTH": "6.428",
+  "AUTUMN_RISE_WIDTH": "5.649",
+  "AUTUMN_FALL_WIDTH": "7.12",
+  "SUMMER_DIP": "0.124",
+  "SUMMER_LOW": "1.94",
+  "SUMMER_ONSET": "4.18",
+  "SUMMER_GATE_SHARPNESS": "4.58",
+  "SUMMER_DECAY_ONSET": "7.21",
+  "SUMMER_DECAY_GATE_SHARPNESS": "16.496",
+  "SUMMER_WIDTH": "24.048",
+  "SUMMER_RISE_WIDTH": "34.624",
+  "SUMMER_FALL_WIDTH": "8.238",
+  "SCALE": "1.064",
+  "YEAR_END_WEIGHT": "0.15",
+  "YEAR_END_PEAK": "12.206",
+  "YEAR_END_WIDTH": "87.912",
+  "YEAR_END_RISE_WIDTH": "169.682",
+  "YEAR_END_FALL_WIDTH": "9.723",
+  "SPECIES": "Dandelion"
+}
diff --git a/modelling/data/abingdon-flowers/resident/dandelion_observed.csv b/modelling/data/abingdon-flowers/resident/dandelion_observed.csv
new file mode 100644
index 0000000..3e6bd84
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/dandelion_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,6
+3,33
+4,96
+5,84
+6,34
+7,26
+8,34
+9,19
+10,33
+11,15
+12,10
diff --git a/modelling/data/abingdon-flowers/resident/dandelion_parameters.csv b/modelling/data/abingdon-flowers/resident/dandelion_parameters.csv
new file mode 100644
index 0000000..8e59286
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/dandelion_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 15:22:56,dandelion_observed.csv,0.5317548742735705120589856295,0.026,1.197,5.398,7.664,0.664,6.67,13.496,0.096,6.68,8.42,0.028,0.299,0.027,3.2,8.89,9.65,2.895,14.856,14.986,14.725,2.625,2.23,3.02,0.035,1.99,4.35,2.306,6.61,8.832,9.537,6.758,12.316,1.261,0.065,12.157,62.596,113.343,11.849
+2026-05-21 15:22:56,dandelion_observed.csv,1.122647780534264027798389945,0.185,2.644,1.545,5.249,0.371,7.37,13.321,0.007,7.56,22.96,0.081,0.38,0.033,4.73,11.21,10.78,11.797,7.412,14.069,0.754,4.326,2.164,6.487,0.128,1.82,3.75,3.193,7.57,11.458,35.635,51.725,19.545,1.259,0.275,12.278,100.016,191.057,8.974
+2026-05-21 15:22:56,dandelion_observed.csv,3.469206104779965011823704073,0.316,2.69,2.901,6.68,0.145,6.29,6.168,0.053,6.97,7.246,0.016,0.115,0.016,5.01,11.07,9.38,4.714,14.588,13.855,15.320,9.881,10.582,9.18,0.086,11.96,4.04,1.892,7.02,21.654,15.410,22.48,8.34,1.58,0.309,12.208,88.865,163.402,14.328
+2026-05-21 15:22:57,dandelion_observed.csv,3.502576408182718843537317610,0.336,1.261,2.734,1.037,0.587,6.7,7.287,0.057,7.27,18.372,0.077,0.429,0.039,5.22,11.42,10.66,7.003,17.866,17.578,18.154,6.548,3.022,10.075,0.064,11.7,4.92,6.893,7.19,23.59,37.352,58.29,16.413,1.708,0.318,12.134,77.548,139.8,15.296
+2026-05-21 15:22:57,dandelion_observed.csv,1.075208978936163472987619490,0.234,1.872,3.268,4.808,0.371,6.87,4.86,0.075,6.95,11.824,0.041,0.548,0.016,4.19,9.35,10.35,7.534,8.352,12.527,4.178,2.740,4.237,1.243,0.234,1.63,3.8,7.638,7.51,15.292,16.732,27.524,5.939,1.603,0.302,12.102,77.627,149.417,5.837
+2026-05-21 15:22:57,dandelion_observed.csv,1.311084058497487368648027666,0.179,3.631,1.089,0.178,0.937,7.04,12.467,0.009,6.62,17.317,0.002,0.328,0.007,5.26,9.11,9.62,3.095,15.706,17.17,14.241,6.122,8.279,3.966,0.24,1.74,4.2,2.253,6.96,21.595,19.100,18.7,19.501,0.878,0.268,12.205,85.534,163.342,7.726
+2026-05-21 15:22:58,dandelion_observed.csv,4.200770814160018603585214184,0.166,2.055,1.364,4.926,0.412,6.9,13.134,0.079,6.88,17.945,0.034,0.158,0.032,2.82,10.33,11.13,7.463,13.951,11.7,16.202,1.711,2.065,1.357,0.102,2.29,4.74,4.21,7.51,20.321,29.543,42.711,16.375,1.614,0.148,12.076,114.848,217.955,11.741
+2026-05-21 15:22:58,dandelion_observed.csv,1.029110164553511911390571902,0.103,3.938,1.497,0.276,0.764,6.4,4.23,0.091,7.45,12.451,0.042,0.222,0.015,3.48,11.1,10.7,10.485,8.985,8.769,9.201,2.895,0.469,5.321,0.101,11.78,4.91,4.644,7.27,21.132,8.184,6.073,10.295,1.187,0.056,12.204,104.236,194.87,13.603
+2026-05-21 15:22:58,dandelion_observed.csv,0.7823459341014763201410209253,0.288,1.254,4.666,3.955,0.344,6.82,5.658,0.037,6.52,23.506,0.08,0.404,0.006,3.01,9.79,9.73,8.392,12.957,18.836,7.078,8.931,13.312,4.55,0.105,1.78,3.84,2.401,7.53,6.346,6.452,3.183,9.722,0.982,0.012,12.258,69.030,129.988,8.072
+2026-05-21 15:22:59,dandelion_observed.csv,3.204802773650209100976444860,0.211,2.4,5.8,5.092,0.32,7.74,13.198,0.034,6.52,19.975,0.069,0.005,0.041,3.27,10.75,10.41,5.938,13.882,18.492,9.271,4.872,2.742,7.002,0.165,1.4,3.66,6.566,7.04,12.586,32.850,62.72,2.981,1.429,0.125,12.264,93.498,181.017,5.979
+2026-05-21 15:22:59,dandelion_observed.csv,1.447968811593821634567452278,0.29,1.762,2.943,2.812,0.625,6.53,11.068,0.061,6.54,20.927,0.089,0.291,0.036,3.61,8.9,9.69,8.511,14.365,12.351,16.379,6.772,6.356,7.188,0.143,2.23,4.84,1.526,7.57,15.917,19.139,21.158,17.12,1.026,0.205,12.078,53.500,94.026,12.974
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diff --git a/modelling/data/abingdon-flowers/resident/dandelion_simulated.csv b/modelling/data/abingdon-flowers/resident/dandelion_simulated.csv
new file mode 100644
index 0000000..31a7ed2
--- /dev/null
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diff --git a/modelling/data/abingdon-flowers/resident/dandelion_synthesised.csv b/modelling/data/abingdon-flowers/resident/dandelion_synthesised.csv
new file mode 100644
index 0000000..19a0dbd
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/dandelion_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
+1,0,0.07297388,12.888899264695254
+2,6,0.09221452,16.287247697699858
+3,33,0.21194079999999998,37.43371767102042
+4,96,0.5159189,91.12338182994222
+5,84,0.4853896,85.73119119513342
+6,34,0.22869250000000002,40.39246090644104
+7,26,0.08487944,14.9917004797298
+8,34,0.04886433,8.630587095092466
+9,19,0.048146310000000005,8.50376791746293
+10,33,0.06023294,10.638550342621679
+11,15,0.05878523,10.382850791570098
+12,10,0.12993398,22.94938927847783
diff --git a/modelling/data/abingdon-flowers/resident/dandelion_synthesised.png b/modelling/data/abingdon-flowers/resident/dandelion_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/resident/germander_speedwell_classification.json b/modelling/data/abingdon-flowers/resident/germander_speedwell_classification.json
new file mode 100644
index 0000000..a63abf9
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/germander_speedwell_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Germander Speedwell",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "weak",
+    "detectability_peak_timing": "late_spring_early_summer",
+    "detectability_trough_timing": "autumn",
+    "spring_carryover": "weak",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "moderate",
+    "pre_summer_retention": "moderate",
+    "autumn_component": "weak",
+    "year_end_component": "weak",
+    "response_dynamics": "decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "weak_baseline_presence",
+      "late_spring_early_summer_detectability_peak",
+      "autumn_detectability_trough",
+      "weak_spring_carryover",
+      "moderate_summer_suppression",
+      "moderate_summer_decay_acceleration",
+      "moderate_pre_summer_retention",
+      "weak_autumn_component",
+      "weak_year_end_component",
+      "decline_biased_response_dynamics"
+    ],
+    "confidence": "low"
+  },
+  "derived_metrics": {
+    "target_peak_month": 5,
+    "target_peak_label": "May",
+    "target_trough_month": 9,
+    "target_trough_label": "September",
+    "target_peak_value": 0.6345131388409673,
+    "target_trough_value": 0.04500878623232617,
+    "target_mean_value": 0.19006020014144828,
+    "target_amplitude": 0.5895043526086411,
+    "baseline_to_peak_ratio": 0.0709205172365685,
+    "autumn_to_winter_weight_ratio": 0.04664179104477612,
+    "year_end_to_winter_weight_ratio": 0.2798507462686567,
+    "decay_to_growth_ratio": 1.6262178919397696,
+    "monthly_target": {
+      "January": 0.09902023455679551,
+      "February": 0.09961152076355817,
+      "March": 0.13027072448861368,
+      "April": 0.362735725168769,
+      "May": 0.6345131388409673,
+      "June": 0.41244375578954634,
+      "July": 0.13162506242647173,
+      "August": 0.04695606201662694,
+      "September": 0.04500878623232617,
+      "October": 0.05592676155416461,
+      "November": 0.0698874058913968,
+      "December": 0.19272322396814306
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.09,
+    "GROWTH_RATE": 2.258,
+    "DECAY_RATE": 3.672,
+    "SUMMER_DECAY_BOOST": 3.096,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.41,
+    "PRE_SUMMER_DECAY_END": 7.07,
+    "PRE_SUMMER_DECAY_SHARPNESS": 10.622,
+    "SPRING_CARRYOVER_WEIGHT": 0.054,
+    "SPRING_CARRYOVER_END": 7.025,
+    "SPRING_CARRYOVER_SHARPNESS": 18.612,
+    "BASELINE": 0.045,
+    "WINTER_WEIGHT": 0.536,
+    "AUTUMN_WEIGHT": 0.025,
+    "WINTER_PEAK": 5.035,
+    "AUTUMN_PEAK": 10.9,
+    "AUTUMN_ONSET": 9.935,
+    "AUTUMN_GATE_SHARPNESS": 8.308,
+    "WINTER_WIDTH": 10.086,
+    "WINTER_RISE_WIDTH": 9.512,
+    "WINTER_FALL_WIDTH": 8.316,
+    "AUTUMN_WIDTH": 7.231,
+    "AUTUMN_RISE_WIDTH": 6.576,
+    "AUTUMN_FALL_WIDTH": 6.386,
+    "SUMMER_DIP": 0.118,
+    "SUMMER_LOW": 1.76,
+    "SUMMER_ONSET": 4.46,
+    "SUMMER_GATE_SHARPNESS": 4.152,
+    "SUMMER_DECAY_ONSET": 7.23,
+    "SUMMER_DECAY_GATE_SHARPNESS": 15.472,
+    "SUMMER_WIDTH": 19.501,
+    "SUMMER_RISE_WIDTH": 26.952,
+    "SUMMER_FALL_WIDTH": 9.069,
+    "SCALE": 1.152,
+    "YEAR_END_WEIGHT": 0.15,
+    "YEAR_END_PEAK": 12.104,
+    "YEAR_END_WIDTH": 85.376,
+    "YEAR_END_RISE_WIDTH": 161.104,
+    "YEAR_END_FALL_WIDTH": 10.909
+  },
+  "fit": {
+    "score": 0.417
+  },
+  "warnings": [],
+  "summary": "Germander Speedwell is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around May and reaches its lowest point around September. The model indicates weak baseline presence, weak spring carry-over, moderate pre-summer retention, moderate summer suppression, and moderate summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-flowers/resident/germander_speedwell_consensus.json b/modelling/data/abingdon-flowers/resident/germander_speedwell_consensus.json
new file mode 100644
index 0000000..14d67d5
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/germander_speedwell_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.417",
+  "INITIAL_Y": "0.09",
+  "GROWTH_RATE": "2.258",
+  "DECAY_RATE": "3.672",
+  "SUMMER_DECAY_BOOST": "3.096",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.41",
+  "PRE_SUMMER_DECAY_END": "7.07",
+  "PRE_SUMMER_DECAY_SHARPNESS": "10.622",
+  "SPRING_CARRYOVER_WEIGHT": "0.054",
+  "SPRING_CARRYOVER_END": "7.025",
+  "SPRING_CARRYOVER_SHARPNESS": "18.612",
+  "BASELINE": "0.045",
+  "WINTER_WEIGHT": "0.536",
+  "AUTUMN_WEIGHT": "0.025",
+  "WINTER_PEAK": "5.035",
+  "AUTUMN_PEAK": "10.9",
+  "AUTUMN_ONSET": "9.935",
+  "AUTUMN_GATE_SHARPNESS": "8.308",
+  "WINTER_WIDTH": "10.086",
+  "WINTER_RISE_WIDTH": "9.512",
+  "WINTER_FALL_WIDTH": "8.316",
+  "AUTUMN_WIDTH": "7.231",
+  "AUTUMN_RISE_WIDTH": "6.576",
+  "AUTUMN_FALL_WIDTH": "6.386",
+  "SUMMER_DIP": "0.118",
+  "SUMMER_LOW": "1.76",
+  "SUMMER_ONSET": "4.46",
+  "SUMMER_GATE_SHARPNESS": "4.152",
+  "SUMMER_DECAY_ONSET": "7.23",
+  "SUMMER_DECAY_GATE_SHARPNESS": "15.472",
+  "SUMMER_WIDTH": "19.501",
+  "SUMMER_RISE_WIDTH": "26.952",
+  "SUMMER_FALL_WIDTH": "9.069",
+  "SCALE": "1.152",
+  "YEAR_END_WEIGHT": "0.15",
+  "YEAR_END_PEAK": "12.104",
+  "YEAR_END_WIDTH": "85.376",
+  "YEAR_END_RISE_WIDTH": "161.104",
+  "YEAR_END_FALL_WIDTH": "10.909",
+  "SPECIES": "Germander Speedwell"
+}
diff --git a/modelling/data/abingdon-flowers/resident/germander_speedwell_observed.csv b/modelling/data/abingdon-flowers/resident/germander_speedwell_observed.csv
new file mode 100644
index 0000000..bd8ba35
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/germander_speedwell_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,2
+3,2
+4,8
+5,18
+6,8
+7,1
+8,0
+9,0
+10,0
+11,1
+12,0
diff --git a/modelling/data/abingdon-flowers/resident/germander_speedwell_parameters.csv b/modelling/data/abingdon-flowers/resident/germander_speedwell_parameters.csv
new file mode 100644
index 0000000..e5dcb46
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/germander_speedwell_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 15:33:47,germander_speedwell_observed.csv,1.046483643537540467651951791,0.191,1.47,2.482,0.367,0.344,6.25,6.94,0.065,7.28,27.026,0.048,0.484,0.021,4.46,11.74,11.04,11.282,6.198,6.167,6.228,4.438,3.388,5.488,0.153,1.84,4.31,7.34,6.77,14.846,33.906,65.991,1.821,1.702,0.181,12.254,57.360,100.506,14.213
+2026-05-21 15:33:47,germander_speedwell_observed.csv,0.4864446936826674648253914657,0.112,3.475,1.372,1.315,0.205,7.23,15.076,0.008,7.2,7.767,0.061,0.27,0.022,6.02,10.07,9.32,11.364,5.886,5.951,5.822,9.968,13.844,6.093,0.139,2.12,3.81,2.686,6.96,21.586,18.536,25.831,11.241,0.918,0.142,12.146,85.669,160.997,10.341
+2026-05-21 15:33:48,germander_speedwell_observed.csv,1.176430907716294239841028411,0.14,2.738,2.948,6.171,0.284,6.53,12.398,0.012,6.66,15.952,0.086,0.143,0.02,4.27,10.72,8.4,11.547,1.514,1.567,1.460,7.891,7.437,8.345,0.083,11.99,3.93,5.198,7.08,15.503,16.086,19.297,12.875,1.085,0.131,12.122,103.480,194.741,12.219
+2026-05-21 15:33:48,germander_speedwell_observed.csv,0.7928068501367713808851472408,0.279,2.562,2.162,6.687,0.434,7.63,15.061,0.09,7.21,21.213,0.054,0.623,0.02,5.2,10.45,8.77,6.075,11.644,9.383,13.906,5.706,6.885,4.526,0.103,11.5,3.66,1.576,6.61,19.671,6.491,10.637,2.345,1.497,0.209,12.293,101.820,199.38,4.259
+2026-05-21 15:33:48,germander_speedwell_observed.csv,0.6763998719334526291729214836,0.137,1.981,2.54,3.394,0.274,6.81,12.207,0.041,7.28,20.342,0.078,0.687,0.027,5.48,9.68,11.32,8.283,7.472,11.36,3.585,4.266,3.793,4.74,0.157,2.39,4.39,5.525,7.07,22.27,16.240,21.272,11.207,1.663,0.206,12.219,106.264,205.843,6.686
+2026-05-21 15:33:49,germander_speedwell_observed.csv,0.8028157777381366696032131704,0.318,1.107,3.725,1.876,0.362,7.26,11.931,0.053,7.41,25.203,0.038,0.729,0.037,4.35,10.48,9.88,9.484,18.415,16.830,20.000,3.055,3.189,2.921,0.15,1.85,4.25,2.443,6.76,7.19,2.318,3.775,0.86,1.216,0.346,12.104,56.217,101.47,10.964
+2026-05-21 15:33:49,germander_speedwell_observed.csv,6.508964732911325623623087672,0.286,1.209,0.578,5.011,0.837,6.83,7.552,0.055,7.38,18.559,0.041,0.113,0.045,4.11,10.5,11.16,4.061,4.536,8.086,0.985,7.036,6.173,7.899,0.004,2.06,3.98,7.565,6.61,17.088,8.784,14.007,3.561,1.337,0.132,12.18,75.414,141.564,9.265
+2026-05-21 15:33:49,germander_speedwell_observed.csv,2.088420662780880923509641061,0.337,0.57,3.421,0.248,0.65,6.45,4.828,0.083,6.81,23.24,0.04,0.674,0.015,5.67,9.84,11.42,8.033,16.478,15.995,16.961,8.825,8.998,8.652,0.078,1.08,4.8,1.399,6.65,21.376,35.898,53.486,18.31,1.474,0.236,12.012,52.898,97.554,8.243
+2026-05-21 15:33:50,germander_speedwell_observed.csv,18.74063663234319511964692938,0.145,3.49,1.547,0.182,0.512,7.75,3.855,0.049,7.45,7.359,0.059,0.555,0.037,5.24,9.8,10.72,9.14,8.170,15.424,0.917,7.191,11.704,2.678,0.011,2.06,4.88,7.763,7.05,21.263,11.500,6.261,16.74,1.368,0.021,12.087,122.250,233.435,11.065
+2026-05-21 15:33:50,germander_speedwell_observed.csv,0.3051373132016963464071621838,0.05,2.411,3.495,0.578,0.735,7.39,7.031,0.049,6.67,11.615,0.041,0.576,0.027,4.35,9.61,9.55,7.61,11.226,11.718,10.735,13.011,12.022,14.000,0.22,1.29,4.45,7.946,7.33,13.252,18.878,27.174,10.581,1.511,0.033,12.123,51.239,96.019,6.459
+2026-05-21 15:33:50,germander_speedwell_observed.csv,3.045870259230682178887692130,0.229,2.41,1.087,5.338,0.617,7.6,3.922,0.03,6.71,20.559,0.079,0.245,0.031,5.43,10.08,8.7,3.691,6.676,4.632,8.721,5.952,0.715,11.19,0.157,2.34,4.87,4.246,7.15,22.439,18.104,33.979,2.23,1.47,0.149,12.23,98.782,192.476,5.087
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+2026-05-21 15:33:51,germander_speedwell_observed.csv,16.77549045706448416714235181,0.172,0.413,0.509,7.167,0.502,6.36,10.318,0.012,7.46,11.733,0.008,0.618,0.021,4.96,10.37,9.92,9.021,11.623,5.811,17.435,10.350,11.446,9.254,0.104,1.44,3.5,4.376,6.65,11.351,22.848,28.29,17.405,1.032,0.133,12.282,61.910,114.4,9.42
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+2026-05-21 15:33:52,germander_speedwell_observed.csv,16.74635760922176515794188784,0.048,3.022,3.742,2.911,0.422,6.85,13.796,0.002,7.12,16.586,0.038,0.725,0.006,4.25,9.57,9.59,9.526,3.992,7.032,0.951,8.590,6.41,10.769,0.194,1.21,4.1,2.734,7.58,16.375,18.376,26.134,10.619,1.441,0.052,12.131,90.200,164.739,15.661
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diff --git a/modelling/data/abingdon-flowers/resident/germander_speedwell_simulated.csv b/modelling/data/abingdon-flowers/resident/germander_speedwell_simulated.csv
new file mode 100644
index 0000000..6026c72
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/germander_speedwell_simulated.csv
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diff --git a/modelling/data/abingdon-flowers/resident/germander_speedwell_synthesised.csv b/modelling/data/abingdon-flowers/resident/germander_speedwell_synthesised.csv
new file mode 100644
index 0000000..6d3de20
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/germander_speedwell_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
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+2,2,0.10139400999999999,2.4048159825041027
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+8,0,0.04954762,1.1751474122686334
+9,0,0.04544516,1.0778471735702746
+10,0,0.05752671,1.364391758732874
+11,1,0.07099868000000001,1.6839136789312745
+12,0,0.15346549999999998,3.6398233698714884
diff --git a/modelling/data/abingdon-flowers/resident/germander_speedwell_synthesised.png b/modelling/data/abingdon-flowers/resident/germander_speedwell_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/resident/nettle_classification.json b/modelling/data/abingdon-flowers/resident/nettle_classification.json
new file mode 100644
index 0000000..193bbdc
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/nettle_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Nettle",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "moderate",
+    "detectability_peak_timing": "late_spring_early_summer",
+    "detectability_trough_timing": "autumn",
+    "spring_carryover": "moderate",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "strong",
+    "pre_summer_retention": "moderate",
+    "autumn_component": "weak",
+    "year_end_component": "meaningful",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "moderate_baseline_presence",
+      "late_spring_early_summer_detectability_peak",
+      "autumn_detectability_trough",
+      "moderate_spring_carryover",
+      "moderate_summer_suppression",
+      "strong_summer_decay_acceleration",
+      "moderate_pre_summer_retention",
+      "weak_autumn_component",
+      "meaningful_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "medium"
+  },
+  "derived_metrics": {
+    "target_peak_month": 5,
+    "target_peak_label": "May",
+    "target_trough_month": 9,
+    "target_trough_label": "September",
+    "target_peak_value": 0.9523846742169517,
+    "target_trough_value": 0.28619358192466765,
+    "target_mean_value": 0.49486562136948054,
+    "target_amplitude": 0.666191092292284,
+    "baseline_to_peak_ratio": 0.29609884286710064,
+    "autumn_to_winter_weight_ratio": 0.05,
+    "year_end_to_winter_weight_ratio": 0.3730769230769231,
+    "decay_to_growth_ratio": 1.6388174807197944,
+    "monthly_target": {
+      "January": 0.45402642155069334,
+      "February": 0.4546337186309928,
+      "March": 0.48001640960213815,
+      "April": 0.6643236435973341,
+      "May": 0.9523846742169517,
+      "June": 0.8362115899930532,
+      "July": 0.4951066624434455,
+      "August": 0.28629821029966007,
+      "September": 0.28619358192466765,
+      "October": 0.30796920332770933,
+      "November": 0.29706409898466724,
+      "December": 0.42415924186245346
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.197,
+    "GROWTH_RATE": 1.556,
+    "DECAY_RATE": 2.55,
+    "SUMMER_DECAY_BOOST": 4.045,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.408,
+    "PRE_SUMMER_DECAY_END": 7.1,
+    "PRE_SUMMER_DECAY_SHARPNESS": 10.355,
+    "SPRING_CARRYOVER_WEIGHT": 0.172,
+    "SPRING_CARRYOVER_END": 7.065,
+    "SPRING_CARRYOVER_SHARPNESS": 16.385,
+    "BASELINE": 0.282,
+    "WINTER_WEIGHT": 0.52,
+    "AUTUMN_WEIGHT": 0.026,
+    "WINTER_PEAK": 5.28,
+    "AUTUMN_PEAK": 9.965,
+    "AUTUMN_ONSET": 9.125,
+    "AUTUMN_GATE_SHARPNESS": 8.539,
+    "WINTER_WIDTH": 8.296,
+    "WINTER_RISE_WIDTH": 7.883,
+    "WINTER_FALL_WIDTH": 8.613,
+    "AUTUMN_WIDTH": 7.872,
+    "AUTUMN_RISE_WIDTH": 7.249,
+    "AUTUMN_FALL_WIDTH": 7.342,
+    "SUMMER_DIP": 0.1,
+    "SUMMER_LOW": 1.85,
+    "SUMMER_ONSET": 4.26,
+    "SUMMER_GATE_SHARPNESS": 5.286,
+    "SUMMER_DECAY_ONSET": 7.085,
+    "SUMMER_DECAY_GATE_SHARPNESS": 16.831,
+    "SUMMER_WIDTH": 24.241,
+    "SUMMER_RISE_WIDTH": 40.196,
+    "SUMMER_FALL_WIDTH": 10.454,
+    "SCALE": 1.039,
+    "YEAR_END_WEIGHT": 0.194,
+    "YEAR_END_PEAK": 12.162,
+    "YEAR_END_WIDTH": 99.08,
+    "YEAR_END_RISE_WIDTH": 184.284,
+    "YEAR_END_FALL_WIDTH": 10.308
+  },
+  "fit": {
+    "score": 0.317
+  },
+  "warnings": [],
+  "summary": "Nettle is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around May and reaches its lowest point around September. The model indicates moderate baseline presence, moderate spring carry-over, moderate pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-flowers/resident/nettle_consensus.json b/modelling/data/abingdon-flowers/resident/nettle_consensus.json
new file mode 100644
index 0000000..25c5e3a
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/nettle_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.317",
+  "INITIAL_Y": "0.197",
+  "GROWTH_RATE": "1.556",
+  "DECAY_RATE": "2.55",
+  "SUMMER_DECAY_BOOST": "4.045",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.408",
+  "PRE_SUMMER_DECAY_END": "7.1",
+  "PRE_SUMMER_DECAY_SHARPNESS": "10.355",
+  "SPRING_CARRYOVER_WEIGHT": "0.172",
+  "SPRING_CARRYOVER_END": "7.065",
+  "SPRING_CARRYOVER_SHARPNESS": "16.385",
+  "BASELINE": "0.282",
+  "WINTER_WEIGHT": "0.52",
+  "AUTUMN_WEIGHT": "0.026",
+  "WINTER_PEAK": "5.28",
+  "AUTUMN_PEAK": "9.965",
+  "AUTUMN_ONSET": "9.125",
+  "AUTUMN_GATE_SHARPNESS": "8.539",
+  "WINTER_WIDTH": "8.296",
+  "WINTER_RISE_WIDTH": "7.883",
+  "WINTER_FALL_WIDTH": "8.613",
+  "AUTUMN_WIDTH": "7.872",
+  "AUTUMN_RISE_WIDTH": "7.249",
+  "AUTUMN_FALL_WIDTH": "7.342",
+  "SUMMER_DIP": "0.1",
+  "SUMMER_LOW": "1.85",
+  "SUMMER_ONSET": "4.26",
+  "SUMMER_GATE_SHARPNESS": "5.286",
+  "SUMMER_DECAY_ONSET": "7.085",
+  "SUMMER_DECAY_GATE_SHARPNESS": "16.831",
+  "SUMMER_WIDTH": "24.241",
+  "SUMMER_RISE_WIDTH": "40.196",
+  "SUMMER_FALL_WIDTH": "10.454",
+  "SCALE": "1.039",
+  "YEAR_END_WEIGHT": "0.194",
+  "YEAR_END_PEAK": "12.162",
+  "YEAR_END_WIDTH": "99.08",
+  "YEAR_END_RISE_WIDTH": "184.284",
+  "YEAR_END_FALL_WIDTH": "10.308",
+  "SPECIES": "Nettle"
+}
diff --git a/modelling/data/abingdon-flowers/resident/nettle_observed.csv b/modelling/data/abingdon-flowers/resident/nettle_observed.csv
new file mode 100644
index 0000000..8fedfd4
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/nettle_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,8
+2,10
+3,24
+4,67
+5,74
+6,57
+7,42
+8,36
+9,20
+10,29
+11,20
+12,25
diff --git a/modelling/data/abingdon-flowers/resident/nettle_parameters.csv b/modelling/data/abingdon-flowers/resident/nettle_parameters.csv
new file mode 100644
index 0000000..d7b2685
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/nettle_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 15:24:01,nettle_observed.csv,0.3904220551793612110520568542,0.289,1.221,4.929,2.106,0.846,6.54,9.081,0.243,6.92,17.457,0.402,0.615,0.026,5.96,9.91,10.28,4.583,4.426,4.350,4.502,9.302,7.075,11.529,0.055,1.6,4.32,2.951,7.16,14.641,20.958,39.147,2.768,1.742,0.221,12.04,122.176,231.289,13.063
+2026-05-21 15:24:01,nettle_observed.csv,4.199840397697919467847029060,0.196,3.91,3.277,7.445,0.901,7.58,6.79,0.017,7.28,7.752,0.3,0.303,0.042,5.97,9.27,9.4,3.313,8.818,13.956,3.68,9.945,9.701,10.189,0.217,11.72,4.78,3.866,7.19,11.287,18.752,21.235,16.27,0.949,0.006,12.217,56.704,108.659,4.749
+2026-05-21 15:24:01,nettle_observed.csv,4.201640273945518579033915509,0.062,0.45,1.221,6.156,0.834,6.76,11.022,0.442,6.71,25.009,0.082,0.36,0.014,4.65,9.2,10.68,4.569,10.632,7.886,13.377,9.046,9.836,8.257,0.122,2.24,3.8,7.214,7.53,21.352,12.940,15.704,10.175,1.109,0.062,12.087,56.726,100.841,12.611
+2026-05-21 15:24:02,nettle_observed.csv,2.839664296691005644673389606,0.003,3.516,2.531,3.735,0.5,7.69,5.997,0.091,7.18,26.741,0.359,0.459,0.039,4.35,8.89,10.42,9.79,15.022,16.633,13.41,5.708,5.410,6.007,0.234,1.51,4.93,3.262,7.16,8.021,5.188,5.909,4.466,1.625,0.107,12.25,78.595,144.299,12.891
+2026-05-21 15:24:02,nettle_observed.csv,0.9798336610286209703414463110,0.076,1.058,4.731,0.131,0.944,7.72,8.206,0.05,6.88,12.106,0.255,0.395,0.016,6.21,10.91,8.49,5.465,11.456,5.082,17.83,3.187,1.226,5.148,0.183,2.35,4.38,7.82,6.8,10.96,14.732,21.306,8.159,1.472,0.265,12.219,84.686,156.787,12.586
+2026-05-21 15:24:02,nettle_observed.csv,1.083399450138337979298457173,0.192,0.293,1.816,2.713,0.063,6.42,5.863,0.445,6.81,8.159,0.348,0.042,0.003,3.88,11.09,10.22,3.546,10.900,3.717,18.084,6.518,10.997,2.04,0.148,11.64,3.52,1.028,7.56,7.674,16.444,29.296,3.592,1.658,0.112,12.093,97.745,182.252,13.238
+2026-05-21 15:24:03,nettle_observed.csv,0.4698912922971089220506794803,0.231,3.254,3.152,5.402,0.126,7.11,9.832,0.088,6.55,25.444,0.404,0.548,0.029,5.08,9.04,9.94,5.346,10.206,4.36,16.051,10.782,7.805,13.76,0.001,1.7,3.86,2.617,7.1,18.578,34.710,66.1,3.319,1.305,0.342,12.285,76.966,139.003,14.93
+2026-05-21 15:24:03,nettle_observed.csv,1.234891948502205713635252617,0.028,0.62,1.159,4.617,0.505,6.37,14.806,0.139,6.83,23.633,0.367,0.101,0.032,5.86,8.54,10.45,6.628,14.559,13.877,15.241,10.164,12.651,7.676,0.152,11.98,4.75,1.418,7.56,20.127,11.327,4.484,18.17,0.972,0.167,12.001,119.236,232.688,5.784
+2026-05-21 15:24:03,nettle_observed.csv,0.4261981359578037208907202490,0.426,1.216,3.731,5.828,0.777,7.51,9.332,0.335,6.94,25.013,0.327,0.632,0.024,6.03,10.67,11.41,9.712,14.220,14.075,14.364,6.044,4.429,7.66,0.145,11.6,4.7,5.03,6.76,10.365,34.286,55.979,12.593,0.991,0.152,12.208,90.115,174.636,5.594
+2026-05-21 15:24:04,nettle_observed.csv,0.6767679798399225952231368036,0.353,0.641,1.743,4.924,0.923,6.33,6.002,0.16,7.58,15.391,0.303,0.052,0.006,3.72,9.16,8.29,6.707,13.396,8.597,18.196,4.670,8.921,0.42,0.211,11.76,4.5,6.871,6.67,20.033,27.260,45.873,8.648,1.144,0.064,12.271,111.556,213.248,9.863
+2026-05-21 15:24:04,nettle_observed.csv,0.3518633764552125562316691503,0.069,2.852,5.04,7.045,0.068,7.44,9.916,0.183,7.53,25.703,0.109,0.289,0.03,5.99,11.05,9.12,3.552,8.295,11.477,5.113,8.064,9.199,6.929,0.248,1.02,4.63,7.689,7.06,23.637,20.078,33.327,6.83,0.812,0.198,12.197,74.156,136.503,11.81
+2026-05-21 15:24:04,nettle_observed.csv,1.568033446768953134141397614,0.052,1.815,4.475,2.639,0.267,6.85,6.644,0.239,7.18,26.63,0.215,0.237,0.012,6.34,10.22,10.43,4.202,5.392,6.084,4.699,11.224,13.773,8.676,0.016,1.38,4.06,7.872,6.66,7.476,36.490,69.327,3.654,1.656,0.146,12.207,48.152,82.185,14.12
+2026-05-21 15:24:05,nettle_observed.csv,2.220948930081524170953291520,0.379,2.504,4.011,4.625,0.855,7.55,5.265,0.001,7.51,7.776,0.198,0.015,0.048,6.35,10.74,8.65,5.728,2.880,3.002,2.758,6.866,11.091,2.64,0.147,11.79,3.78,2.496,6.68,16.005,36.474,69.827,3.121,1.193,0.31,12.116,122.998,238.035,7.962
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+2026-05-21 15:24:06,nettle_observed.csv,0.3858201590242940167973693404,0.339,0.528,4.873,1.708,0.74,7.41,12.885,0.292,7.49,13.786,0.244,0.726,0.041,4.44,10.24,8.54,8.62,6.946,3.976,9.916,2.621,0.759,4.483,0.129,11.99,3.64,2.898,7.23,19.868,33.816,61.459,6.172,0.811,0.163,12.224,98.732,182.626,14.837
+2026-05-21 15:24:07,nettle_observed.csv,5.857151511627451873874928628,0.369,2.782,0.67,3.887,0.159,7.03,3.999,0.165,6.86,7.691,0.423,0.382,0.034,4.71,10.92,9.15,11.841,4.624,7.988,1.26,5.305,8.028,2.582,0.01,11.57,4.17,1.643,6.92,14.791,37.457,55.052,19.862,1.799,0.022,12.252,102.910,198.621,7.198
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diff --git a/modelling/data/abingdon-flowers/resident/nettle_synthesised.csv b/modelling/data/abingdon-flowers/resident/nettle_synthesised.csv
new file mode 100644
index 0000000..1095bd8
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/nettle_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-flowers/resident/nettle_synthesised.png b/modelling/data/abingdon-flowers/resident/nettle_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/resident/shepherds_purse_classification.json b/modelling/data/abingdon-flowers/resident/shepherds_purse_classification.json
new file mode 100644
index 0000000..4aadd8d
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/shepherds_purse_classification.json
@@ -0,0 +1,105 @@
+{
+  "schema_version": "resident-classification/v1",
+  "species": "Shepherds Purse",
+  "model_family": "resident_detectability",
+  "classification": {
+    "primary_class": "resident_with_summer_detectability_collapse",
+    "baseline_presence": "moderate",
+    "detectability_peak_timing": "late_spring_early_summer",
+    "detectability_trough_timing": "autumn",
+    "spring_carryover": "weak",
+    "summer_suppression": "moderate",
+    "summer_decay_acceleration": "strong",
+    "pre_summer_retention": "moderate",
+    "autumn_component": "minimal",
+    "year_end_component": "weak",
+    "response_dynamics": "rapid_decline_biased",
+    "traits": [
+      "resident_detectability_pattern",
+      "moderate_baseline_presence",
+      "late_spring_early_summer_detectability_peak",
+      "autumn_detectability_trough",
+      "weak_spring_carryover",
+      "moderate_summer_suppression",
+      "strong_summer_decay_acceleration",
+      "moderate_pre_summer_retention",
+      "minimal_autumn_component",
+      "weak_year_end_component",
+      "rapid_decline_biased_response_dynamics"
+    ],
+    "confidence": "medium"
+  },
+  "derived_metrics": {
+    "target_peak_month": 5,
+    "target_peak_label": "May",
+    "target_trough_month": 9,
+    "target_trough_label": "September",
+    "target_peak_value": 0.7769415933979172,
+    "target_trough_value": 0.22000029117915312,
+    "target_mean_value": 0.342655888022306,
+    "target_amplitude": 0.5569413022187641,
+    "baseline_to_peak_ratio": 0.2831615682175547,
+    "autumn_to_winter_weight_ratio": 0.038461538461538464,
+    "year_end_to_winter_weight_ratio": 0.25274725274725274,
+    "decay_to_growth_ratio": 1.7541345093715546,
+    "monthly_target": {
+      "January": 0.26202416713248283,
+      "February": 0.2628615801754669,
+      "March": 0.3087337510963508,
+      "April": 0.6134127815364601,
+      "May": 0.7769415933979172,
+      "June": 0.39861442149135673,
+      "July": 0.2509616036428726,
+      "August": 0.2200152497838311,
+      "September": 0.22000029117915312,
+      "October": 0.2230723387178499,
+      "November": 0.2407435281452313,
+      "December": 0.33448934996869933
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.226,
+    "GROWTH_RATE": 1.814,
+    "DECAY_RATE": 3.182,
+    "SUMMER_DECAY_BOOST": 4.073,
+    "PRE_SUMMER_DECAY_REDUCTION": 0.363,
+    "PRE_SUMMER_DECAY_END": 6.965,
+    "PRE_SUMMER_DECAY_SHARPNESS": 8.754,
+    "SPRING_CARRYOVER_WEIGHT": 0.042,
+    "SPRING_CARRYOVER_END": 7.03,
+    "SPRING_CARRYOVER_SHARPNESS": 15.445,
+    "BASELINE": 0.22,
+    "WINTER_WEIGHT": 0.546,
+    "AUTUMN_WEIGHT": 0.021,
+    "WINTER_PEAK": 4.74,
+    "AUTUMN_PEAK": 10.86,
+    "AUTUMN_ONSET": 10.165,
+    "AUTUMN_GATE_SHARPNESS": 8.192,
+    "WINTER_WIDTH": 12.293,
+    "WINTER_RISE_WIDTH": 11.38,
+    "WINTER_FALL_WIDTH": 12.499,
+    "AUTUMN_WIDTH": 7.341,
+    "AUTUMN_RISE_WIDTH": 6.655,
+    "AUTUMN_FALL_WIDTH": 8.35,
+    "SUMMER_DIP": 0.13,
+    "SUMMER_LOW": 2.09,
+    "SUMMER_ONSET": 4.16,
+    "SUMMER_GATE_SHARPNESS": 4.366,
+    "SUMMER_DECAY_ONSET": 7.08,
+    "SUMMER_DECAY_GATE_SHARPNESS": 14.378,
+    "SUMMER_WIDTH": 19.018,
+    "SUMMER_RISE_WIDTH": 28.742,
+    "SUMMER_FALL_WIDTH": 9.272,
+    "SCALE": 1.09,
+    "YEAR_END_WEIGHT": 0.138,
+    "YEAR_END_PEAK": 12.152,
+    "YEAR_END_WIDTH": 90.766,
+    "YEAR_END_RISE_WIDTH": 174.83,
+    "YEAR_END_FALL_WIDTH": 11.397
+  },
+  "fit": {
+    "score": 0.316
+  },
+  "warnings": [],
+  "summary": "Shepherds Purse is classified as resident with summer detectability collapse. The fitted resident detectability target peaks around May and reaches its lowest point around September. The model indicates moderate baseline presence, weak spring carry-over, moderate pre-summer retention, moderate summer suppression, and strong summer decay acceleration."
+}
diff --git a/modelling/data/abingdon-flowers/resident/shepherds_purse_consensus.json b/modelling/data/abingdon-flowers/resident/shepherds_purse_consensus.json
new file mode 100644
index 0000000..8fcfce9
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/shepherds_purse_consensus.json
@@ -0,0 +1,42 @@
+{
+  "SCORE": "0.316",
+  "INITIAL_Y": "0.226",
+  "GROWTH_RATE": "1.814",
+  "DECAY_RATE": "3.182",
+  "SUMMER_DECAY_BOOST": "4.073",
+  "PRE_SUMMER_DECAY_REDUCTION": "0.363",
+  "PRE_SUMMER_DECAY_END": "6.965",
+  "PRE_SUMMER_DECAY_SHARPNESS": "8.754",
+  "SPRING_CARRYOVER_WEIGHT": "0.042",
+  "SPRING_CARRYOVER_END": "7.03",
+  "SPRING_CARRYOVER_SHARPNESS": "15.445",
+  "BASELINE": "0.22",
+  "WINTER_WEIGHT": "0.546",
+  "AUTUMN_WEIGHT": "0.021",
+  "WINTER_PEAK": "4.74",
+  "AUTUMN_PEAK": "10.86",
+  "AUTUMN_ONSET": "10.165",
+  "AUTUMN_GATE_SHARPNESS": "8.192",
+  "WINTER_WIDTH": "12.293",
+  "WINTER_RISE_WIDTH": "11.38",
+  "WINTER_FALL_WIDTH": "12.499",
+  "AUTUMN_WIDTH": "7.341",
+  "AUTUMN_RISE_WIDTH": "6.655",
+  "AUTUMN_FALL_WIDTH": "8.35",
+  "SUMMER_DIP": "0.13",
+  "SUMMER_LOW": "2.09",
+  "SUMMER_ONSET": "4.16",
+  "SUMMER_GATE_SHARPNESS": "4.366",
+  "SUMMER_DECAY_ONSET": "7.08",
+  "SUMMER_DECAY_GATE_SHARPNESS": "14.378",
+  "SUMMER_WIDTH": "19.018",
+  "SUMMER_RISE_WIDTH": "28.742",
+  "SUMMER_FALL_WIDTH": "9.272",
+  "SCALE": "1.09",
+  "YEAR_END_WEIGHT": "0.138",
+  "YEAR_END_PEAK": "12.152",
+  "YEAR_END_WIDTH": "90.766",
+  "YEAR_END_RISE_WIDTH": "174.83",
+  "YEAR_END_FALL_WIDTH": "11.397",
+  "SPECIES": "Shepherds Purse"
+}
diff --git a/modelling/data/abingdon-flowers/resident/shepherds_purse_observed.csv b/modelling/data/abingdon-flowers/resident/shepherds_purse_observed.csv
new file mode 100644
index 0000000..56e154a
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/shepherds_purse_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,1
+2,1
+3,6
+4,13
+5,17
+6,7
+7,2
+8,1
+9,1
+10,4
+11,7
+12,5
diff --git a/modelling/data/abingdon-flowers/resident/shepherds_purse_parameters.csv b/modelling/data/abingdon-flowers/resident/shepherds_purse_parameters.csv
new file mode 100644
index 0000000..c5acd34
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/shepherds_purse_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,SUMMER_DECAY_BOOST,PRE_SUMMER_DECAY_REDUCTION,PRE_SUMMER_DECAY_END,PRE_SUMMER_DECAY_SHARPNESS,SPRING_CARRYOVER_WEIGHT,SPRING_CARRYOVER_END,SPRING_CARRYOVER_SHARPNESS,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,AUTUMN_ONSET,AUTUMN_GATE_SHARPNESS,WINTER_WIDTH,WINTER_RISE_WIDTH,WINTER_FALL_WIDTH,AUTUMN_WIDTH,AUTUMN_RISE_WIDTH,AUTUMN_FALL_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_ONSET,SUMMER_GATE_SHARPNESS,SUMMER_DECAY_ONSET,SUMMER_DECAY_GATE_SHARPNESS,SUMMER_WIDTH,SUMMER_RISE_WIDTH,SUMMER_FALL_WIDTH,SCALE,YEAR_END_WEIGHT,YEAR_END_PEAK,YEAR_END_WIDTH,YEAR_END_RISE_WIDTH,YEAR_END_FALL_WIDTH
+2026-05-21 15:25:04,shepherds_purse_observed.csv,0.3731713031844338140177747221,0.34,3.692,2.946,1.27,0.111,6.39,14.283,0.071,7.43,10.515,0.317,0.612,0.034,3.53,10.37,11.19,10.95,13.702,14.692,12.712,7.100,12.031,2.169,0.184,2.34,3.92,2.054,7.36,12.27,28.074,46.137,10.012,0.976,0.333,12.092,121.146,231.86,10.433
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diff --git a/modelling/data/abingdon-flowers/resident/shepherds_purse_synthesised.csv b/modelling/data/abingdon-flowers/resident/shepherds_purse_synthesised.csv
new file mode 100644
index 0000000..0680aba
--- /dev/null
+++ b/modelling/data/abingdon-flowers/resident/shepherds_purse_synthesised.csv
@@ -0,0 +1,13 @@
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+9,1,0.22011889999999998,4.096299593630901
+10,4,0.22699799999999998,4.224316108953058
+11,7,0.2384384,4.4372160728860734
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diff --git a/modelling/data/abingdon-flowers/resident/shepherds_purse_synthesised.png b/modelling/data/abingdon-flowers/resident/shepherds_purse_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/bluebell_classification.json b/modelling/data/abingdon-flowers/seasonal/bluebell_classification.json
new file mode 100644
index 0000000..e8f3e32
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/bluebell_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Bluebell",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "narrow_spring_seasonal_presence",
+    "timing": "spring",
+    "season_width": "narrow",
+    "window_shape": "sharp",
+    "post_peak_decline": "moderate",
+    "offseason_suppression": "moderate",
+    "peak_alignment": "central",
+    "traits": [
+      "spring_peak",
+      "narrow_season",
+      "sharp_seasonal_window",
+      "moderate_post_peak_decline",
+      "moderate_offseason_suppression",
+      "central_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 4.08,
+    "season_end_month": 5.55,
+    "forcing_peak_month": 4.875,
+    "season_width_months": 1.47,
+    "season_midpoint_month": 4.815,
+    "season_start_label": "April",
+    "season_end_label": "June",
+    "forcing_peak_label": "May"
+  },
+  "parameter_evidence": {
+    "GROWTH": 3.131,
+    "DECAY": 1.854,
+    "OOS_DECAY": 3.898,
+    "POST_PEAK_DECAY": 2.877,
+    "POST_PEAK_SHARPNESS": 6.548,
+    "SEASON_START": 4.08,
+    "SEASON_END": 5.55,
+    "SHARPNESS": 8.58,
+    "FORCING_PEAK": 4.875
+  },
+  "fit": {
+    "score": 0.039
+  },
+  "warnings": [],
+  "summary": "Bluebell is classified as narrow spring seasonal presence. The fitted seasonal window runs from about April to June, with a spring peak around May. The season is narrow, with a sharp active window, moderate post-peak decline, and moderate off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/bluebell_consensus.json b/modelling/data/abingdon-flowers/seasonal/bluebell_consensus.json
new file mode 100644
index 0000000..784e098
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/bluebell_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "3.131",
+  "DECAY": "1.854",
+  "OOS_DECAY": "3.898",
+  "POST_PEAK_DECAY": "2.877",
+  "POST_PEAK_SHARPNESS": "6.548",
+  "SEASON_START": "4.08",
+  "SEASON_END": "5.55",
+  "SHARPNESS": "8.58",
+  "FORCING_PEAK": "4.875",
+  "SCORE": "0.039",
+  "SPECIES": "Bluebell"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/bluebell_observed.csv b/modelling/data/abingdon-flowers/seasonal/bluebell_observed.csv
new file mode 100644
index 0000000..090f7f9
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/bluebell_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,19
+5,21
+6,0
+7,0
+8,0
+9,0
+10,0
+11,0
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/bluebell_parameters.csv b/modelling/data/abingdon-flowers/seasonal/bluebell_parameters.csv
new file mode 100644
index 0000000..1af3757
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/bluebell_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
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+2026-05-21 14:43:15,bluebell_observed.csv,2.148,0.795,5.901,2.346,1.342,3.03,5.53,3.119,3.61,0.08913407623311403425648007163,
+2026-05-21 14:43:16,bluebell_observed.csv,2.228,2.081,4.683,1.124,6.349,4.43,5.24,6.053,4.88,0.04448531396204666131353013589,
+2026-05-21 14:43:16,bluebell_observed.csv,4.218,2.768,1.713,1.935,5.845,3.32,4.66,12.359,3.55,0.1539315561897273408460103600,
+2026-05-21 14:43:16,bluebell_observed.csv,1.07,2.63,6.843,6.74,7.74,4.3,5.53,11.806,4.37,0.04139003877697017257719602385,
+2026-05-21 14:43:16,bluebell_observed.csv,2.844,2.925,3.51,0.011,4.953,3.79,5.99,2.629,5.01,0.05428726646906884598933749237,
+2026-05-21 14:43:17,bluebell_observed.csv,2.744,1.564,6.57,6.61,9.827,4.54,5.13,7.767,4.54,0.0663623311997249501353148378,
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+2026-05-21 14:43:17,bluebell_observed.csv,3.064,2.938,3.765,0.847,2.636,4.05,4.33,7.566,4.06,0.1318874825530313542469015613,
+2026-05-21 14:43:17,bluebell_observed.csv,4.905,0.897,7.831,7.928,6.116,4.54,4.47,14.714,4.37,0.1488097763398967919998719388,
+2026-05-21 14:43:18,bluebell_observed.csv,3.6,0.987,6.704,5.181,8.946,3.29,5.23,4.768,3.78,0.1131306812000399961648402342,
+2026-05-21 14:43:18,bluebell_observed.csv,2.769,0.681,7.404,1.808,1.818,3.57,4.88,1.614,4.74,0.1299525356437019332217669175,
+2026-05-21 14:43:18,bluebell_observed.csv,3.573,1.174,6.196,3.068,6.58,3.17,4.43,5.303,3.54,0.1719140326493435758634086731,
+2026-05-21 14:43:18,bluebell_observed.csv,4.083,2.896,4.529,4.779,5.102,3.97,5.91,6.751,4.88,0.03066727294906172502121867080,
+2026-05-21 14:43:19,bluebell_observed.csv,3.61,2.588,7.694,5.444,3.516,4.73,5.82,6.899,5.01,0.05945934549303708256676287417,
+2026-05-21 14:43:19,bluebell_observed.csv,1.461,0.881,2.609,0.936,4.467,4.12,5.9,3.185,5.73,0.05486588545239248376308556537,
+2026-05-21 14:43:19,bluebell_observed.csv,3.122,2.342,5.646,2.015,1.53,3.78,4.97,1.635,4.48,0.1227598428404958456511988095,
+2026-05-21 14:43:20,bluebell_observed.csv,3.357,1.522,3.29,0.679,7.723,3.03,4.33,11.589,3.94,0.1752091485806103066308656530,
+2026-05-21 14:43:20,bluebell_observed.csv,3.169,1.058,7.553,1.263,1.655,4.26,5.17,13.37,5.08,0.08075233668425463043028178182,
+2026-05-21 14:43:20,bluebell_observed.csv,3.821,2.002,5.1,7.576,8.893,3.85,5.45,10.865,5.17,0.03882555590757680507355338922,
+2026-05-21 14:43:20,bluebell_observed.csv,1.089,2.919,6.644,5.464,2.431,3.3,4.28,5.642,3.73,0.2065552145811896772356684909,
+2026-05-21 14:43:21,bluebell_observed.csv,1.793,2.645,2.696,6.64,7.299,3.07,4.01,7.0,3.95,0.2323139018658985340302088425,
+2026-05-21 14:43:21,bluebell_observed.csv,3.381,0.78,6.352,4.879,6.777,3.27,4.64,13.718,4.08,0.1513278239369980893365689094,
+2026-05-21 14:43:21,bluebell_observed.csv,4.874,1.268,5.289,1.075,7.694,3.49,5.99,5.243,4.59,0.04869601996497695122548838897,
+2026-05-21 14:43:21,bluebell_observed.csv,3.248,2.591,4.799,5.299,6.43,3.53,5.72,6.731,3.57,0.08643253268409681343407810843,
+2026-05-21 14:43:22,bluebell_observed.csv,2.01,2.919,4.801,4.416,3.861,3.19,5.99,8.358,4.32,0.09015957091576107472297910687,
+2026-05-21 14:43:22,bluebell_observed.csv,2.074,2.335,2.486,3.308,5.806,4.58,4.05,2.697,5.43,0.07677217528822187692222589824,
+2026-05-21 14:43:22,bluebell_observed.csv,4.19,2.009,3.861,1.461,6.929,3.14,4.55,7.185,4.06,0.1612484189738644527393443657,
+2026-05-21 14:43:22,bluebell_observed.csv,2.268,1.03,1.882,4.922,2.58,4.52,5.47,7.736,5.11,0.04725588558127757833329252004,
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diff --git a/modelling/data/abingdon-flowers/seasonal/bluebell_simulated.csv b/modelling/data/abingdon-flowers/seasonal/bluebell_simulated.csv
new file mode 100644
index 0000000..fd0a784
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/bluebell_simulated.csv
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diff --git a/modelling/data/abingdon-flowers/seasonal/bluebell_simulated.png b/modelling/data/abingdon-flowers/seasonal/bluebell_simulated.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/bluebell_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/bluebell_synthesised.csv
new file mode 100644
index 0000000..d3b4507
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/bluebell_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-flowers/seasonal/bluebell_synthesised.png b/modelling/data/abingdon-flowers/seasonal/bluebell_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/buttercup_classification.json b/modelling/data/abingdon-flowers/seasonal/buttercup_classification.json
new file mode 100644
index 0000000..b72a2c0
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/buttercup_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Buttercup",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "extended_spring_seasonal_presence",
+    "timing": "spring",
+    "season_width": "very_broad",
+    "window_shape": "moderate",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "moderate",
+    "peak_alignment": "early",
+    "traits": [
+      "spring_peak",
+      "very_broad_season",
+      "moderate_seasonal_window",
+      "strong_post_peak_decline",
+      "moderate_offseason_suppression",
+      "early_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 3.41,
+    "season_end_month": 10.31,
+    "forcing_peak_month": 5.41,
+    "season_width_months": 6.9,
+    "season_midpoint_month": 6.86,
+    "season_start_label": "March",
+    "season_end_label": "October",
+    "forcing_peak_label": "May"
+  },
+  "parameter_evidence": {
+    "GROWTH": 2.898,
+    "DECAY": 1.864,
+    "OOS_DECAY": 3.996,
+    "POST_PEAK_DECAY": 3.78,
+    "POST_PEAK_SHARPNESS": 6.728,
+    "SEASON_START": 3.41,
+    "SEASON_END": 10.31,
+    "SHARPNESS": 6.984,
+    "FORCING_PEAK": 5.41
+  },
+  "fit": {
+    "score": 0.042
+  },
+  "warnings": [],
+  "summary": "Buttercup is classified as extended spring seasonal presence. The fitted seasonal window runs from about March to October, with a spring peak around May. The season is very_broad, with a moderate active window, strong post-peak decline, and moderate off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/buttercup_consensus.json b/modelling/data/abingdon-flowers/seasonal/buttercup_consensus.json
new file mode 100644
index 0000000..3cda20b
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/buttercup_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "2.898",
+  "DECAY": "1.864",
+  "OOS_DECAY": "3.996",
+  "POST_PEAK_DECAY": "3.78",
+  "POST_PEAK_SHARPNESS": "6.728",
+  "SEASON_START": "3.41",
+  "SEASON_END": "10.31",
+  "SHARPNESS": "6.984",
+  "FORCING_PEAK": "5.41",
+  "SCORE": "0.042",
+  "SPECIES": "Buttercup"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/buttercup_observed.csv b/modelling/data/abingdon-flowers/seasonal/buttercup_observed.csv
new file mode 100644
index 0000000..2725a7e
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/buttercup_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,12
+4,63
+5,101
+6,62
+7,18
+8,11
+9,1
+10,8
+11,4
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/buttercup_parameters.csv b/modelling/data/abingdon-flowers/seasonal/buttercup_parameters.csv
new file mode 100644
index 0000000..5b032ff
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/buttercup_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 14:44:09,buttercup_observed.csv,1.779,2.306,6.054,5.847,9.364,3.88,10.54,9.446,4.99,0.04871059981080450448580772658,
+2026-05-21 14:44:10,buttercup_observed.csv,3.48,2.331,1.911,5.008,4.884,3.34,10.35,5.03,4.62,0.08336511032690229355961901954,
+2026-05-21 14:44:10,buttercup_observed.csv,1.442,1.6,5.069,0.926,5.329,3.46,10.91,10.887,5.3,0.02730937335150514789316042822,
+2026-05-21 14:44:10,buttercup_observed.csv,4.028,0.838,1.17,6.273,9.963,3.18,9.62,6.927,6.45,0.07702205094408580263280743349,
+2026-05-21 14:44:10,buttercup_observed.csv,3.235,1.696,1.359,3.121,4.368,3.13,10.02,14.77,4.43,0.08993287035447175364090892450,
+2026-05-21 14:44:11,buttercup_observed.csv,4.412,1.33,4.234,3.081,7.7,2.56,10.96,4.326,4.38,0.1230725406751811758232271460,
+2026-05-21 14:44:11,buttercup_observed.csv,3.926,2.498,1.857,7.781,7.697,2.34,10.05,4.361,4.28,0.1752079426822626613245173382,
+2026-05-21 14:44:11,buttercup_observed.csv,1.907,2.734,1.556,2.193,2.653,2.57,10.49,8.717,6.46,0.09235072922074645880532125661,
+2026-05-21 14:44:12,buttercup_observed.csv,2.696,1.607,2.042,7.943,3.195,2.7,9.15,6.73,6.08,0.05374214947344792366282227450,
+2026-05-21 14:44:12,buttercup_observed.csv,2.658,0.63,7.926,1.715,3.69,2.12,9.66,9.773,4.85,0.06443075154180976778834205311,
+2026-05-21 14:44:12,buttercup_observed.csv,1.748,1.612,6.22,1.808,4.167,2.34,9.33,5.008,5.85,0.07778416907593585060177755127,
+2026-05-21 14:44:12,buttercup_observed.csv,2.033,0.757,2.617,5.5,7.82,3.77,9.58,1.967,5.35,0.05090655467636123863123874496,
+2026-05-21 14:44:13,buttercup_observed.csv,3.243,0.95,2.534,4.165,4.929,3.74,9.63,14.534,4.73,0.07360074737063079566375311086,
+2026-05-21 14:44:13,buttercup_observed.csv,1.03,0.939,2.734,0.083,8.224,3.63,10.53,3.761,4.79,0.1048601823120653398675511560,
+2026-05-21 14:44:13,buttercup_observed.csv,2.879,2.498,4.051,1.466,8.039,3.28,10.43,10.073,5.11,0.04084867377694149761382215791,
+2026-05-21 14:44:13,buttercup_observed.csv,2.294,2.554,4.778,5.11,6.003,2.59,9.48,4.231,6.1,0.06830590553011753962079975207,
+2026-05-21 14:44:14,buttercup_observed.csv,2.687,1.761,1.107,5.072,2.834,3.36,10.62,10.243,3.95,0.1084900472762968164038672435,
+2026-05-21 14:44:14,buttercup_observed.csv,1.673,2.024,5.752,5.161,9.93,3.12,9.43,8.01,4.15,0.1130886357041043478521357819,
+2026-05-21 14:44:14,buttercup_observed.csv,1.028,2.893,2.25,7.2,1.005,3.07,10.4,3.485,5.59,0.06822074888311205824878571110,
+2026-05-21 14:44:15,buttercup_observed.csv,2.209,1.327,6.993,2.083,8.548,2.56,10.35,11.249,5.52,0.04274444223877010345480971076,
+2026-05-21 14:44:15,buttercup_observed.csv,4.238,1.737,7.862,3.757,4.046,3.43,10.77,12.246,5.82,0.03215524040799996215703222633,
+2026-05-21 14:44:15,buttercup_observed.csv,2.578,2.032,3.438,7.604,7.819,2.53,10.08,2.514,3.71,0.2070041616870869413586286769,
+2026-05-21 14:44:15,buttercup_observed.csv,1.181,2.021,1.691,1.362,5.139,2.94,10.69,1.433,3.77,0.1206613900098386817262870470,
+2026-05-21 14:44:16,buttercup_observed.csv,1.234,0.973,1.093,2.598,7.156,3.41,10.88,8.323,6.01,0.04623749735405374078342654793,
+2026-05-21 14:44:16,buttercup_observed.csv,3.672,1.953,1.623,4.265,3.306,2.81,10.95,1.208,3.81,0.1742820222015729927145534570,
+2026-05-21 14:44:16,buttercup_observed.csv,1.13,1.724,2.96,3.581,8.822,2.97,10.83,8.952,3.79,0.1289208948877629471508395077,
+2026-05-21 14:44:16,buttercup_observed.csv,1.963,0.538,2.652,3.767,8.304,2.34,10.56,13.696,4.29,0.1587936234172326683147372269,
+2026-05-21 14:44:17,buttercup_observed.csv,1.573,2.847,7.913,5.255,7.344,2.18,10.3,9.498,6.11,0.09917534524319951347755317275,
+2026-05-21 14:44:17,buttercup_observed.csv,2.83,1.666,1.327,7.867,1.948,2.77,10.89,14.936,4.63,0.1292986179330226751509188480,
+2026-05-21 14:44:17,buttercup_observed.csv,4.537,0.585,5.541,5.902,4.811,3.55,9.51,8.831,6.43,0.1202716518984826548227654833,
+2026-05-21 14:44:18,buttercup_observed.csv,3.441,1.086,1.672,5.325,7.046,3.46,10.99,4.564,3.69,0.1443512702090557751214694756,
+2026-05-21 14:44:18,buttercup_observed.csv,3.73,2.164,7.463,6.808,1.761,3.55,10.29,12.223,4.52,0.08737278585710162440170429397,
+2026-05-21 14:44:18,buttercup_observed.csv,2.741,2.677,5.334,7.271,2.018,2.78,10.78,4.658,6.42,0.02597698389754774539702536885,
+2026-05-21 14:44:18,buttercup_observed.csv,4.044,2.738,3.059,4.606,7.956,2.4,10.6,1.374,4.35,0.1309283427832058723678977914,
+2026-05-21 14:44:19,buttercup_observed.csv,1.946,2.524,5.124,5.167,9.445,2.98,10.25,11.798,5.58,0.03594992793096729690058655901,
+2026-05-21 14:44:19,buttercup_observed.csv,1.806,2.184,5.327,3.744,7.925,2.37,9.88,8.779,4.64,0.1367759304311761314253534790,
+2026-05-21 14:44:19,buttercup_observed.csv,2.682,0.658,3.313,5.012,1.439,2.79,10.79,6.051,4.92,0.09247744190298073975549646163,
+2026-05-21 14:44:19,buttercup_observed.csv,1.722,1.039,4.603,4.742,6.98,3.96,10.59,12.239,5.76,0.07909520311680174391470401031,
+2026-05-21 14:44:20,buttercup_observed.csv,1.618,2.798,5.956,4.088,3.929,2.36,9.58,8.595,6.02,0.07795410503938186012595241198,
+2026-05-21 14:44:20,buttercup_observed.csv,3.508,1.365,5.24,3.333,7.709,2.89,9.59,8.096,4.29,0.1011026552870616597866124292,
+2026-05-21 14:44:20,buttercup_observed.csv,1.436,2.886,4.524,1.266,6.281,3.99,10.24,3.49,5.74,0.1100183191721548880064415596,
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diff --git a/modelling/data/abingdon-flowers/seasonal/buttercup_simulated.csv b/modelling/data/abingdon-flowers/seasonal/buttercup_simulated.csv
new file mode 100644
index 0000000..68c27a8
--- /dev/null
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diff --git a/modelling/data/abingdon-flowers/seasonal/buttercup_simulated.png b/modelling/data/abingdon-flowers/seasonal/buttercup_simulated.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/buttercup_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/buttercup_synthesised.csv
new file mode 100644
index 0000000..a7fd78f
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/buttercup_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-flowers/seasonal/buttercup_synthesised.png b/modelling/data/abingdon-flowers/seasonal/buttercup_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/common_comfrey_classification.json b/modelling/data/abingdon-flowers/seasonal/common_comfrey_classification.json
new file mode 100644
index 0000000..e9a2916
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/common_comfrey_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Common Comfrey",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "extended_spring_seasonal_presence",
+    "timing": "spring",
+    "season_width": "broad",
+    "window_shape": "moderate",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "strong",
+    "peak_alignment": "early",
+    "traits": [
+      "spring_peak",
+      "broad_season",
+      "moderate_seasonal_window",
+      "strong_post_peak_decline",
+      "strong_offseason_suppression",
+      "early_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 3.355,
+    "season_end_month": 9.32,
+    "forcing_peak_month": 5.245,
+    "season_width_months": 5.965,
+    "season_midpoint_month": 6.3375,
+    "season_start_label": "March",
+    "season_end_label": "September",
+    "forcing_peak_label": "May"
+  },
+  "parameter_evidence": {
+    "GROWTH": 3.136,
+    "DECAY": 1.629,
+    "OOS_DECAY": 4.222,
+    "POST_PEAK_DECAY": 4.63,
+    "POST_PEAK_SHARPNESS": 4.557,
+    "SEASON_START": 3.355,
+    "SEASON_END": 9.32,
+    "SHARPNESS": 7.978,
+    "FORCING_PEAK": 5.245
+  },
+  "fit": {
+    "score": 0.035
+  },
+  "warnings": [],
+  "summary": "Common Comfrey is classified as extended spring seasonal presence. The fitted seasonal window runs from about March to September, with a spring peak around May. The season is broad, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/common_comfrey_consensus.json b/modelling/data/abingdon-flowers/seasonal/common_comfrey_consensus.json
new file mode 100644
index 0000000..74de5eb
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/common_comfrey_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "3.136",
+  "DECAY": "1.629",
+  "OOS_DECAY": "4.222",
+  "POST_PEAK_DECAY": "4.63",
+  "POST_PEAK_SHARPNESS": "4.557",
+  "SEASON_START": "3.355",
+  "SEASON_END": "9.32",
+  "SHARPNESS": "7.978",
+  "FORCING_PEAK": "5.245",
+  "SCORE": "0.035",
+  "SPECIES": "Common Comfrey"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/common_comfrey_observed.csv b/modelling/data/abingdon-flowers/seasonal/common_comfrey_observed.csv
new file mode 100644
index 0000000..404db11
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/common_comfrey_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,1
+4,6
+5,8
+6,4
+7,0
+8,1
+9,2
+10,0
+11,0
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/common_comfrey_parameters.csv b/modelling/data/abingdon-flowers/seasonal/common_comfrey_parameters.csv
new file mode 100644
index 0000000..641fd04
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/common_comfrey_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 14:45:05,common_comfrey_observed.csv,1.422,1.887,1.243,7.556,1.106,3.44,8.77,11.258,5.45,0.06048601438381147848157049280,
+2026-05-21 14:45:05,common_comfrey_observed.csv,3.163,1.917,5.763,0.765,8.461,2.24,8.3,8.847,6.18,0.1555491965183198065409153686,
+2026-05-21 14:45:05,common_comfrey_observed.csv,3.995,1.155,1.271,1.04,5.012,3.62,9.07,6.852,4.89,0.02897117303723501495694248688,
+2026-05-21 14:45:06,common_comfrey_observed.csv,2.536,2.489,3.738,6.836,5.792,2.41,9.03,14.204,4.51,0.1315407500106620180072841877,
+2026-05-21 14:45:06,common_comfrey_observed.csv,1.786,2.425,4.391,3.454,9.497,3.43,9.18,1.405,6.45,0.1014676050280533561023620000,
+2026-05-21 14:45:06,common_comfrey_observed.csv,1.785,2.698,7.888,1.942,5.359,2.35,8.63,5.381,4.24,0.1260432377355399419052311295,
+2026-05-21 14:45:06,common_comfrey_observed.csv,3.991,2.885,2.793,2.588,2.387,2.45,8.04,11.135,4.45,0.1527715860036821976506196499,
+2026-05-21 14:45:07,common_comfrey_observed.csv,2.746,0.987,4.308,6.567,3.867,3.61,8.39,14.091,5.59,0.05417792826458591678133261627,
+2026-05-21 14:45:07,common_comfrey_observed.csv,4.712,0.71,7.195,1.498,1.808,3.65,8.96,4.345,4.84,0.05833627073691087532389997340,
+2026-05-21 14:45:07,common_comfrey_observed.csv,4.1,0.827,6.604,2.537,1.077,2.39,8.38,5.534,5.66,0.08603986461129683508999503710,
+2026-05-21 14:45:08,common_comfrey_observed.csv,2.096,2.498,3.369,6.864,8.446,2.82,8.69,2.171,5.71,0.06266240905622665443107813499,
+2026-05-21 14:45:08,common_comfrey_observed.csv,1.717,2.337,4.488,4.408,7.199,2.61,8.16,10.693,5.99,0.08870313117405682369085226812,
+2026-05-21 14:45:08,common_comfrey_observed.csv,1.077,2.823,2.136,2.435,1.158,3.55,8.31,5.344,3.87,0.06192991948606838417912417794,
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diff --git a/modelling/data/abingdon-flowers/seasonal/common_comfrey_simulated.csv b/modelling/data/abingdon-flowers/seasonal/common_comfrey_simulated.csv
new file mode 100644
index 0000000..4d8b1c1
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/common_comfrey_simulated.csv
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diff --git a/modelling/data/abingdon-flowers/seasonal/common_comfrey_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/common_comfrey_synthesised.csv
new file mode 100644
index 0000000..1da2065
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/common_comfrey_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
+1,0,1.394555792e-07,6.157667207341501e-07
+2,0,0.000683831565,0.00301946127024907
+3,1,0.304522916,1.3446222693234566
+4,6,1.3527904,5.97325193604473
+5,8,1.725749,7.620052267799399
+6,4,0.9164372999999999,4.046532911889828
+7,0,0.3791692,1.6742232632553655
+8,1,0.2438189,1.0765834208087937
+9,2,0.063502688,0.2803963969880659
+10,0,0.00012949319520000002,0.0005717777705496862
+11,0,1.1680205279999999e-08,5.1573997569882124e-08
+12,0,3.0282807200000003e-12,1.3371386782185126e-11
diff --git a/modelling/data/abingdon-flowers/seasonal/common_comfrey_synthesised.png b/modelling/data/abingdon-flowers/seasonal/common_comfrey_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/common_poppy_classification.json b/modelling/data/abingdon-flowers/seasonal/common_poppy_classification.json
new file mode 100644
index 0000000..880891d
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/common_poppy_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Common Poppy",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "extended_summer_seasonal_presence",
+    "timing": "summer",
+    "season_width": "broad",
+    "window_shape": "sharp",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "strong",
+    "peak_alignment": "early",
+    "traits": [
+      "summer_peak",
+      "broad_season",
+      "sharp_seasonal_window",
+      "strong_post_peak_decline",
+      "strong_offseason_suppression",
+      "early_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 4.815,
+    "season_end_month": 9.995,
+    "forcing_peak_month": 5.91,
+    "season_width_months": 5.18,
+    "season_midpoint_month": 7.405,
+    "season_start_label": "May",
+    "season_end_label": "October",
+    "forcing_peak_label": "June"
+  },
+  "parameter_evidence": {
+    "GROWTH": 2.77,
+    "DECAY": 2.051,
+    "OOS_DECAY": 4.936,
+    "POST_PEAK_DECAY": 3.915,
+    "POST_PEAK_SHARPNESS": 3.506,
+    "SEASON_START": 4.815,
+    "SEASON_END": 9.995,
+    "SHARPNESS": 9.107,
+    "FORCING_PEAK": 5.91
+  },
+  "fit": {
+    "score": 0.046
+  },
+  "warnings": [],
+  "summary": "Common Poppy is classified as extended summer seasonal presence. The fitted seasonal window runs from about May to October, with a summer peak around June. The season is broad, with a sharp active window, strong post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/common_poppy_consensus.json b/modelling/data/abingdon-flowers/seasonal/common_poppy_consensus.json
new file mode 100644
index 0000000..e29ec3f
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/common_poppy_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "2.77",
+  "DECAY": "2.051",
+  "OOS_DECAY": "4.936",
+  "POST_PEAK_DECAY": "3.915",
+  "POST_PEAK_SHARPNESS": "3.506",
+  "SEASON_START": "4.815",
+  "SEASON_END": "9.995",
+  "SHARPNESS": "9.107",
+  "FORCING_PEAK": "5.91",
+  "SCORE": "0.046",
+  "SPECIES": "Common Poppy"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/common_poppy_observed.csv b/modelling/data/abingdon-flowers/seasonal/common_poppy_observed.csv
new file mode 100644
index 0000000..3c8815c
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/common_poppy_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,3
+5,57
+6,62
+7,34
+8,14
+9,7
+10,8
+11,2
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/common_poppy_parameters.csv b/modelling/data/abingdon-flowers/seasonal/common_poppy_parameters.csv
new file mode 100644
index 0000000..c3347a5
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/common_poppy_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 14:46:36,common_poppy_observed.csv,1.581,2.176,4.667,2.6,2.702,4.73,9.13,5.254,5.44,0.04796967230646615843999635797,
+2026-05-21 14:46:36,common_poppy_observed.csv,2.681,1.094,5.312,7.884,5.643,5.61,10.57,12.766,5.64,0.08690182090346667163872194145,
+2026-05-21 14:46:36,common_poppy_observed.csv,1.559,0.766,5.836,1.537,7.655,5.5,9.55,7.149,6.2,0.1178585012226164430176909017,
+2026-05-21 14:46:37,common_poppy_observed.csv,2.833,1.306,1.593,3.773,3.011,5.94,9.56,6.912,6.9,0.1641237127112480288503520616,
+2026-05-21 14:46:37,common_poppy_observed.csv,3.241,1.401,6.039,1.391,6.778,5.34,9.9,2.354,5.73,0.07686414916775437787589780416,
+2026-05-21 14:46:37,common_poppy_observed.csv,3.698,1.878,5.143,0.332,9.67,4.45,9.38,6.75,5.09,0.05407573710951129498832373314,
+2026-05-21 14:46:37,common_poppy_observed.csv,2.681,1.405,6.547,0.414,6.403,4.6,10.65,14.228,7.07,0.1144444282684587413911111505,
+2026-05-21 14:46:38,common_poppy_observed.csv,2.646,1.629,5.899,7.346,6.917,4.01,9.93,1.019,5.98,0.08073081754762911192811167189,
+2026-05-21 14:46:38,common_poppy_observed.csv,1.703,1.405,2.803,1.408,2.335,4.77,9.22,13.333,5.17,0.02739636335072623844368989095,
+2026-05-21 14:46:38,common_poppy_observed.csv,3.416,2.44,5.003,0.671,7.506,4.22,10.89,13.195,4.92,0.07816836804730535051528241306,
+2026-05-21 14:46:39,common_poppy_observed.csv,1.763,0.534,1.247,6.188,6.343,5.12,9.77,12.103,6.99,0.1072932563590442368051219142,
+2026-05-21 14:46:39,common_poppy_observed.csv,1.747,1.777,4.376,2.656,7.812,4.76,10.97,2.151,7.28,0.1139439662647138556704615266,
+2026-05-21 14:46:39,common_poppy_observed.csv,2.686,1.789,7.097,5.998,1.186,5.09,9.01,3.465,6.19,0.06305298745497483061471391549,
+2026-05-21 14:46:40,common_poppy_observed.csv,2.241,1.844,5.446,1.469,3.635,5.69,9.7,10.353,7.22,0.1621116782463577995675991738,
+2026-05-21 14:46:40,common_poppy_observed.csv,4.737,2.909,1.642,4.063,6.003,4.68,10.76,12.813,7.15,0.07571927339856411705761919774,
+2026-05-21 14:46:40,common_poppy_observed.csv,1.945,2.457,4.715,3.197,2.169,4.33,10.73,6.627,5.45,0.07366655782937084426632749349,
+2026-05-21 14:46:41,common_poppy_observed.csv,3.444,1.983,1.443,1.349,3.899,5.82,9.29,11.788,6.75,0.1686208447105547199169570627,
+2026-05-21 14:46:41,common_poppy_observed.csv,1.687,1.629,3.315,0.543,1.131,5.22,9.53,8.643,6.03,0.1121568266015987607132607830,
+2026-05-21 14:46:41,common_poppy_observed.csv,4.223,1.828,5.087,7.021,7.753,5.79,10.51,9.498,6.7,0.1233053909115021276251023287,
+2026-05-21 14:46:42,common_poppy_observed.csv,2.095,2.863,6.303,7.296,7.094,5.97,10.37,9.59,6.55,0.1455797993398897585917288364,
+2026-05-21 14:46:42,common_poppy_observed.csv,4.528,1.859,4.166,1.272,2.603,5.58,10.07,11.135,6.56,0.1133596197586860666232175288,
+2026-05-21 14:46:42,common_poppy_observed.csv,1.199,1.193,4.683,5.921,4.383,5.84,9.29,3.696,6.94,0.1389054708620113195115209935,
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diff --git a/modelling/data/abingdon-flowers/seasonal/common_poppy_simulated.csv b/modelling/data/abingdon-flowers/seasonal/common_poppy_simulated.csv
new file mode 100644
index 0000000..a167a10
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/common_poppy_simulated.csv
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diff --git a/modelling/data/abingdon-flowers/seasonal/common_poppy_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/common_poppy_synthesised.csv
new file mode 100644
index 0000000..cd19433
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/common_poppy_synthesised.csv
@@ -0,0 +1,13 @@
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+7,34,0.5342507,32.779348853803995
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+11,2,2.927097903e-06,0.00017959426780662176
+12,0,9.84536998e-11,6.040699940480926e-09
diff --git a/modelling/data/abingdon-flowers/seasonal/common_poppy_synthesised.png b/modelling/data/abingdon-flowers/seasonal/common_poppy_synthesised.png
new file mode 100644
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diff --git a/modelling/data/abingdon-flowers/seasonal/common_vetch_classification.json b/modelling/data/abingdon-flowers/seasonal/common_vetch_classification.json
new file mode 100644
index 0000000..72e84bd
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/common_vetch_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Common Vetch",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "moderate_spring_seasonal_presence",
+    "timing": "spring",
+    "season_width": "moderate",
+    "window_shape": "sharp",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "strong",
+    "peak_alignment": "central",
+    "traits": [
+      "spring_peak",
+      "moderate_season",
+      "sharp_seasonal_window",
+      "strong_post_peak_decline",
+      "strong_offseason_suppression",
+      "central_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 4.545,
+    "season_end_month": 7.19,
+    "forcing_peak_month": 5.19,
+    "season_width_months": 2.645,
+    "season_midpoint_month": 5.8675,
+    "season_start_label": "May",
+    "season_end_label": "July",
+    "forcing_peak_label": "May"
+  },
+  "parameter_evidence": {
+    "GROWTH": 3.509,
+    "DECAY": 1.896,
+    "OOS_DECAY": 5.19,
+    "POST_PEAK_DECAY": 4.952,
+    "POST_PEAK_SHARPNESS": 4.2,
+    "SEASON_START": 4.545,
+    "SEASON_END": 7.19,
+    "SHARPNESS": 9.058,
+    "FORCING_PEAK": 5.19
+  },
+  "fit": {
+    "score": 0.036
+  },
+  "warnings": [],
+  "summary": "Common Vetch is classified as moderate spring seasonal presence. The fitted seasonal window runs from about May to July, with a spring peak around May. The season is moderate, with a sharp active window, strong post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/common_vetch_consensus.json b/modelling/data/abingdon-flowers/seasonal/common_vetch_consensus.json
new file mode 100644
index 0000000..23b31f0
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/common_vetch_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "3.509",
+  "DECAY": "1.896",
+  "OOS_DECAY": "5.19",
+  "POST_PEAK_DECAY": "4.952",
+  "POST_PEAK_SHARPNESS": "4.2",
+  "SEASON_START": "4.545",
+  "SEASON_END": "7.19",
+  "SHARPNESS": "9.058",
+  "FORCING_PEAK": "5.19",
+  "SCORE": "0.036",
+  "SPECIES": "Common Vetch"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/common_vetch_observed.csv b/modelling/data/abingdon-flowers/seasonal/common_vetch_observed.csv
new file mode 100644
index 0000000..a7fc971
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/common_vetch_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,1
+5,27
+6,11
+7,7
+8,0
+9,0
+10,0
+11,0
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/common_vetch_parameters.csv b/modelling/data/abingdon-flowers/seasonal/common_vetch_parameters.csv
new file mode 100644
index 0000000..12e6d03
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/common_vetch_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 14:47:36,common_vetch_observed.csv,2.11,2.756,4.554,5.005,5.787,4.04,7.32,13.525,4.37,0.06120469347128915545452593404,
+2026-05-21 14:47:37,common_vetch_observed.csv,3.327,2.102,4.656,4.299,2.387,4.2,6.59,5.648,5.51,0.05607465678998513584201347489,
+2026-05-21 14:47:37,common_vetch_observed.csv,3.882,0.526,4.591,4.776,4.749,5.29,7.69,12.317,5.42,0.07124442694137444508804878074,
+2026-05-21 14:47:37,common_vetch_observed.csv,2.578,0.598,5.002,3.816,8.705,5.33,6.25,2.323,5.8,0.06475394992023258367516716374,
+2026-05-21 14:47:38,common_vetch_observed.csv,4.574,0.889,6.601,7.985,9.189,4.84,7.41,13.399,5.41,0.04083479439727699245643848081,
+2026-05-21 14:47:38,common_vetch_observed.csv,2.349,2.0,1.168,0.094,8.512,5.06,6.51,1.562,5.59,0.1150941270421513300561791862,
+2026-05-21 14:47:38,common_vetch_observed.csv,3.695,2.834,6.899,1.12,9.317,4.56,6.56,13.695,6.05,0.05585817470786000056526116824,
+2026-05-21 14:47:39,common_vetch_observed.csv,3.11,0.692,1.093,5.15,4.081,4.48,6.51,12.656,5.68,0.05902627540987767869392431699,
+2026-05-21 14:47:39,common_vetch_observed.csv,3.871,1.243,3.559,1.449,1.898,5.4,6.85,13.406,6.01,0.09308633376509994193815300713,
+2026-05-21 14:47:39,common_vetch_observed.csv,3.751,1.241,3.212,0.703,3.272,4.41,6.83,8.735,5.22,0.06506403332000480402637849966,
+2026-05-21 14:47:40,common_vetch_observed.csv,3.15,1.87,3.413,4.722,6.897,4.11,6.27,8.032,4.19,0.08723049881533270897157051470,
+2026-05-21 14:47:40,common_vetch_observed.csv,4.09,1.684,7.103,1.222,7.957,5.72,7.48,7.29,5.95,0.1089169807670342655584988746,
+2026-05-21 14:47:40,common_vetch_observed.csv,1.009,1.666,4.045,4.048,1.297,5.8,7.83,8.496,6.03,0.1273447816200683809107261672,
+2026-05-21 14:47:41,common_vetch_observed.csv,3.518,2.795,2.03,3.065,5.528,4.25,7.48,12.411,4.26,0.04131757148309896162399870347,
+2026-05-21 14:47:41,common_vetch_observed.csv,3.595,2.469,5.337,5.684,2.598,4.85,6.56,1.424,5.61,0.05953034844214870478100977883,
+2026-05-21 14:47:41,common_vetch_observed.csv,1.365,1.732,3.316,2.662,9.837,5.53,6.23,6.743,5.77,0.09238343538455872364362996877,
+2026-05-21 14:47:42,common_vetch_observed.csv,4.112,1.605,1.561,1.178,4.248,5.34,7.16,3.528,6.37,0.08576059056591055842933398412,
+2026-05-21 14:47:42,common_vetch_observed.csv,1.189,1.197,4.015,5.68,2.149,4.3,7.89,4.928,6.3,0.07202539179166463857671152593,
+2026-05-21 14:47:42,common_vetch_observed.csv,4.933,0.733,7.217,2.391,9.02,4.92,6.57,4.85,5.36,0.06809605606363874343455069788,
+2026-05-21 14:47:42,common_vetch_observed.csv,3.48,2.093,1.291,7.764,1.335,4.62,7.41,10.747,5.94,0.03264245230093243326506937554,
+2026-05-21 14:47:43,common_vetch_observed.csv,4.113,1.684,6.331,5.367,4.59,4.02,7.01,7.071,4.08,0.1121589398659522874452312279,
+2026-05-21 14:47:43,common_vetch_observed.csv,1.896,1.201,4.915,3.47,9.091,5.51,6.45,5.632,6.05,0.1013493680027929762131519993,
+2026-05-21 14:47:43,common_vetch_observed.csv,3.25,1.975,3.281,7.16,3.442,4.85,6.95,6.521,5.14,0.04983143071826149567719188552,
+2026-05-21 14:47:44,common_vetch_observed.csv,1.298,0.666,7.374,4.485,8.105,4.61,6.82,5.624,5.13,0.05457433889172540520489654134,
+2026-05-21 14:47:44,common_vetch_observed.csv,3.02,2.679,5.973,3.773,6.563,5.79,6.08,12.191,5.98,0.1117304193679808520633926767,
+2026-05-21 14:47:44,common_vetch_observed.csv,1.086,1.595,1.874,7.065,2.262,4.37,6.96,5.639,4.89,0.05503772043636765483217819194,
+2026-05-21 14:47:45,common_vetch_observed.csv,4.694,1.645,3.804,2.985,1.854,5.31,7.82,8.862,6.42,0.1045686897478350003133199092,
+2026-05-21 14:47:59,common_vetch_observed.csv,4.809,2.994,2.851,6.614,1.509,4.55,7.18,10.329,5.85,0.03467814261717047945503106828,
+2026-05-21 14:47:59,common_vetch_observed.csv,2.498,1.227,5.926,7.595,7.389,4.23,7.4,3.457,6.28,0.07707056806484168453051454665,
+2026-05-21 14:47:59,common_vetch_observed.csv,1.209,1.205,6.333,2.949,7.882,4.64,7.2,12.974,4.81,0.02597411837835959981963854053,
+2026-05-21 14:48:00,common_vetch_observed.csv,1.154,0.546,2.409,5.16,4.258,5.14,7.84,13.528,5.77,0.07317942020583392046648035586,
+2026-05-21 14:48:00,common_vetch_observed.csv,1.589,2.072,4.589,0.916,3.871,5.99,7.68,14.064,7.49,0.1724675370514238145160577528,
+2026-05-21 14:48:00,common_vetch_observed.csv,3.329,2.8,1.786,3.429,4.137,5.3,7.68,7.841,6.13,0.08550956787001702624006785600,
+2026-05-21 14:48:01,common_vetch_observed.csv,3.087,0.777,2.769,1.235,3.086,5.48,6.08,2.748,5.5,0.06542007110181860055646157824,
+2026-05-21 14:48:01,common_vetch_observed.csv,2.884,1.602,6.807,7.768,5.957,4.36,7.92,4.11,4.63,0.03216869371837649037939197022,
+2026-05-21 14:48:01,common_vetch_observed.csv,3.351,0.962,2.885,5.357,7.681,5.62,7.37,6.763,5.97,0.1017193100448777054638558030,
+2026-05-21 14:48:02,common_vetch_observed.csv,4.321,2.233,2.329,0.577,3.19,5.63,6.42,6.707,5.81,0.1073740148414202233858526394,
+2026-05-21 14:48:02,common_vetch_observed.csv,3.264,2.479,6.242,0.545,3.16,5.81,6.59,6.745,6.42,0.1228972957984249547463831878,
+2026-05-21 14:48:02,common_vetch_observed.csv,1.928,0.562,7.352,5.649,5.245,4.92,6.73,8.474,5.5,0.07161541793685767507384770669,
+2026-05-21 14:48:03,common_vetch_observed.csv,3.819,1.386,3.645,1.571,4.422,4.06,7.4,14.145,4.58,0.04064767573045189776999362858,
+2026-05-21 14:48:03,common_vetch_observed.csv,1.765,1.167,2.215,1.524,8.641,4.65,7.97,14.704,5.56,0.09831699777586473883586483744,
+2026-05-21 14:48:03,common_vetch_observed.csv,1.033,1.896,7.492,1.834,5.712,5.88,7.91,1.068,5.96,0.1541181019491173362959175937,
+2026-05-21 14:48:04,common_vetch_observed.csv,4.97,0.632,5.777,5.227,3.845,4.66,6.21,14.49,5.93,0.03559839348782212704473892942,
+2026-05-21 14:48:04,common_vetch_observed.csv,4.712,0.753,7.962,6.568,9.407,4.38,7.49,11.058,6.29,0.08055519907169972490200010728,
+2026-05-21 14:48:04,common_vetch_observed.csv,1.57,1.414,4.497,4.678,7.376,4.53,7.16,3.661,6.34,0.07748128243564305752962151841,
+2026-05-21 14:48:05,common_vetch_observed.csv,4.226,2.899,7.255,0.325,5.407,5.72,7.56,14.519,6.44,0.1226347263565821266879739557,
+2026-05-21 14:48:05,common_vetch_observed.csv,2.327,0.522,2.113,4.426,8.106,4.7,7.66,7.73,6.44,0.07819871756335198990659632175,
+2026-05-21 14:48:05,common_vetch_observed.csv,1.599,2.084,5.843,1.945,1.829,5.85,7.34,2.84,6.36,0.09761765455949147747633081782,
+2026-05-21 14:48:06,common_vetch_observed.csv,2.297,1.953,1.918,4.135,4.331,5.47,7.75,2.959,5.94,0.1037439071494299930171626867,
+2026-05-21 14:48:06,common_vetch_observed.csv,4.746,2.984,1.981,6.771,1.045,4.65,6.83,1.73,5.89,0.06342107062393946497244422459,
+2026-05-21 14:48:06,common_vetch_observed.csv,2.987,2.86,5.32,7.354,2.391,4.53,7.66,12.171,5.33,0.02533741033692895787783446754,
+2026-05-21 14:48:06,common_vetch_observed.csv,4.157,2.909,2.996,0.513,2.072,4.58,6.93,5.759,4.59,0.03861999924388741430857950095,
+2026-05-21 14:48:07,common_vetch_observed.csv,2.164,2.517,6.183,2.202,7.244,4.65,7.5,4.925,5.57,0.06669156614151789679213480126,
+2026-05-21 14:48:07,common_vetch_observed.csv,4.177,2.717,1.551,6.974,4.569,5.22,6.07,12.428,5.79,0.04704455589570381458948321757,
+2026-05-21 14:48:07,common_vetch_observed.csv,4.27,2.582,1.591,1.209,2.914,5.31,6.71,10.541,6.17,0.07631323269577251940122853041,
+2026-05-21 14:48:08,common_vetch_observed.csv,1.585,1.058,2.702,0.333,1.852,4.14,6.01,5.276,4.49,0.05769504073621888489179950069,
+2026-05-21 14:48:08,common_vetch_observed.csv,2.895,1.458,3.998,2.476,8.593,5.88,6.62,6.931,6.41,0.1068402544787933088720047932,
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diff --git a/modelling/data/abingdon-flowers/seasonal/common_vetch_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/common_vetch_synthesised.csv
new file mode 100644
index 0000000..a02401a
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/common_vetch_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
+1,0,5.63782851e-13,1.0689035843617935e-11
+2,0,8.033885442999999e-09,1.5231837809793072e-07
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+8,0,7.98059524e-05,0.001513080229780999
+9,0,6.273442747e-09,1.1894128079033741e-07
+10,0,3.11318822e-13,5.9024463785098555e-12
+11,0,6.91954235e-18,1.3119100034595107e-16
+12,0,7.22200142e-22,1.3692547033687552e-20
diff --git a/modelling/data/abingdon-flowers/seasonal/common_vetch_synthesised.png b/modelling/data/abingdon-flowers/seasonal/common_vetch_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/cornflower_classification.json b/modelling/data/abingdon-flowers/seasonal/cornflower_classification.json
new file mode 100644
index 0000000..6dfabed
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/cornflower_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Cornflower",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "extended_summer_seasonal_presence",
+    "timing": "summer",
+    "season_width": "broad",
+    "window_shape": "moderate",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "strong",
+    "peak_alignment": "early",
+    "traits": [
+      "summer_peak",
+      "broad_season",
+      "moderate_seasonal_window",
+      "strong_post_peak_decline",
+      "strong_offseason_suppression",
+      "early_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 6.11,
+    "season_end_month": 10.205,
+    "forcing_peak_month": 6.89,
+    "season_width_months": 4.095,
+    "season_midpoint_month": 8.1575,
+    "season_start_label": "June",
+    "season_end_label": "October",
+    "forcing_peak_label": "July"
+  },
+  "parameter_evidence": {
+    "GROWTH": 3.158,
+    "DECAY": 1.729,
+    "OOS_DECAY": 4.186,
+    "POST_PEAK_DECAY": 3.602,
+    "POST_PEAK_SHARPNESS": 4.52,
+    "SEASON_START": 6.11,
+    "SEASON_END": 10.205,
+    "SHARPNESS": 7.509,
+    "FORCING_PEAK": 6.89
+  },
+  "fit": {
+    "score": 0.017
+  },
+  "warnings": [],
+  "summary": "Cornflower is classified as extended summer seasonal presence. The fitted seasonal window runs from about June to October, with a summer peak around July. The season is broad, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/cornflower_consensus.json b/modelling/data/abingdon-flowers/seasonal/cornflower_consensus.json
new file mode 100644
index 0000000..4550da7
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/cornflower_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "3.158",
+  "DECAY": "1.729",
+  "OOS_DECAY": "4.186",
+  "POST_PEAK_DECAY": "3.602",
+  "POST_PEAK_SHARPNESS": "4.52",
+  "SEASON_START": "6.11",
+  "SEASON_END": "10.205",
+  "SHARPNESS": "7.509",
+  "FORCING_PEAK": "6.89",
+  "SCORE": "0.017",
+  "SPECIES": "Cornflower"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/cornflower_observed.csv b/modelling/data/abingdon-flowers/seasonal/cornflower_observed.csv
new file mode 100644
index 0000000..a7eb620
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/cornflower_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,0
+5,1
+6,18
+7,44
+8,28
+9,12
+10,3
+11,1
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/cornflower_parameters.csv b/modelling/data/abingdon-flowers/seasonal/cornflower_parameters.csv
new file mode 100644
index 0000000..e32648f
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/cornflower_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 14:49:10,cornflower_observed.csv,1.42,2.475,5.06,7.906,4.434,5.35,9.27,12.078,7.13,0.07416907125308706512050884567,
+2026-05-21 14:49:10,cornflower_observed.csv,2.332,2.296,4.07,2.132,2.681,6.98,10.22,12.529,7.77,0.08494029960648741041000714364,
+2026-05-21 14:49:11,cornflower_observed.csv,1.79,1.995,6.732,3.057,8.205,6.37,9.05,9.337,7.83,0.05794835605310490494537375237,
+2026-05-21 14:49:11,cornflower_observed.csv,2.359,2.401,2.85,5.662,6.309,6.7,10.38,7.635,6.75,0.01483404417197769379884187636,
+2026-05-21 14:49:11,cornflower_observed.csv,4.614,2.075,4.339,6.299,6.044,5.97,9.23,13.016,7.39,0.02590847286425960716051422698,
+2026-05-21 14:49:12,cornflower_observed.csv,4.067,0.901,4.517,5.049,9.626,6.05,10.22,10.113,6.12,0.05506530398570518399755341945,
+2026-05-21 14:49:12,cornflower_observed.csv,2.467,2.608,3.805,5.094,7.208,6.41,10.23,14.925,7.9,0.03311533742413228682852716819,
+2026-05-21 14:49:12,cornflower_observed.csv,4.55,1.651,5.237,1.275,6.492,6.94,10.99,9.818,7.13,0.08670622886936219882902139609,
+2026-05-21 14:49:13,cornflower_observed.csv,2.284,2.758,4.602,0.354,1.879,5.03,9.47,8.296,6.13,0.1129636932082669348858489570,
+2026-05-21 14:49:13,cornflower_observed.csv,4.6,2.041,1.146,2.787,5.588,6.68,10.09,6.57,7.92,0.04871261884469023065937987290,
+2026-05-21 14:49:13,cornflower_observed.csv,1.713,1.048,7.303,3.022,4.531,5.22,9.64,5.14,6.36,0.09702783440427464339614409365,
+2026-05-21 14:49:13,cornflower_observed.csv,3.183,1.721,1.457,4.701,4.046,6.12,10.11,8.928,7.22,0.001376412255060005833074705753,
+2026-05-21 14:49:14,cornflower_observed.csv,4.012,2.746,7.741,3.341,5.413,5.37,10.1,11.138,7.91,0.04323678289079526803873493909,
+2026-05-21 14:49:14,cornflower_observed.csv,3.974,2.553,1.551,6.052,8.526,5.12,9.17,6.496,7.65,0.06712070511197697823802862013,
+2026-05-21 14:49:14,cornflower_observed.csv,2.847,0.532,6.163,2.007,6.248,5.27,9.33,5.046,7.56,0.07111521919850386053324067036,
+2026-05-21 14:49:15,cornflower_observed.csv,1.11,0.923,4.162,4.528,8.895,6.9,10.48,14.507,7.75,0.08215477005124776245104044488,
+2026-05-21 14:49:15,cornflower_observed.csv,3.249,1.894,4.134,2.545,5.796,6.72,9.54,3.132,7.23,0.05666499923472874193421337178,
+2026-05-21 14:49:15,cornflower_observed.csv,1.574,1.393,1.572,2.954,9.524,5.28,9.24,6.864,7.97,0.07808596994054874848061571391,
+2026-05-21 14:49:16,cornflower_observed.csv,3.204,1.459,3.105,7.156,5.346,5.2,10.02,11.605,7.11,0.07022366005450822556492549858,
+2026-05-21 14:49:16,cornflower_observed.csv,2.615,1.736,3.819,4.668,2.835,5.7,9.68,10.277,7.61,0.02633020411060856012667793428,
+2026-05-21 14:49:16,cornflower_observed.csv,1.592,2.344,5.459,0.41,3.05,6.61,9.51,10.18,7.96,0.07158703144838092860069969242,
+2026-05-21 14:49:17,cornflower_observed.csv,4.138,2.379,4.815,1.182,2.065,6.92,10.77,7.339,7.82,0.1071467996670417426661346511,
+2026-05-21 14:49:17,cornflower_observed.csv,1.707,2.728,7.461,3.018,6.747,5.06,10.03,3.673,5.84,0.1244152368999769075367781436,
+2026-05-21 14:49:17,cornflower_observed.csv,3.414,1.511,7.611,6.451,1.643,6.77,9.46,3.273,7.51,0.05722465576580628108510216978,
+2026-05-21 14:49:18,cornflower_observed.csv,2.396,1.722,7.419,3.549,9.784,6.68,10.27,13.315,6.77,0.0151526882385952762584898007,
+2026-05-21 14:49:18,cornflower_observed.csv,3.824,1.351,2.465,4.781,7.758,6.57,9.18,13.069,6.81,0.03963782193037267765778491392,
+2026-05-21 14:49:18,cornflower_observed.csv,3.718,2.913,4.16,2.757,2.157,6.09,9.89,3.749,6.73,0.02311179165758932643587802122,
+2026-05-21 14:49:18,cornflower_observed.csv,3.255,1.131,7.158,7.324,5.534,5.01,10.86,4.457,5.59,0.1644141244404629306395250447,
+2026-05-21 14:49:19,cornflower_observed.csv,1.463,1.877,6.819,1.684,1.957,5.15,9.32,3.166,7.12,0.05833927554882193954485184934,
+2026-05-21 14:49:19,cornflower_observed.csv,3.618,1.185,2.04,6.042,1.951,5.36,10.87,9.69,5.75,0.1088253378281007993557763412,
+2026-05-21 14:49:19,cornflower_observed.csv,3.251,1.416,5.553,5.671,7.199,5.32,10.85,2.324,6.58,0.04853694371220876693202870456,
+2026-05-21 14:49:20,cornflower_observed.csv,1.682,2.82,2.322,1.906,2.683,6.64,9.03,11.835,7.93,0.06009976112497956683521889145,
+2026-05-21 14:49:20,cornflower_observed.csv,3.315,2.099,3.425,5.564,3.448,5.33,9.82,1.895,6.4,0.1277962502219610300290949495,
+2026-05-21 14:49:20,cornflower_observed.csv,1.112,2.666,5.132,4.301,4.29,5.45,9.08,5.781,6.94,0.06739161810510685636987486397,
+2026-05-21 14:49:21,cornflower_observed.csv,2.962,1.357,1.567,2.586,8.354,5.48,10.78,14.804,6.06,0.08222391956731137111034300296,
+2026-05-21 14:49:21,cornflower_observed.csv,1.312,0.765,7.376,7.146,3.013,6.67,9.04,11.587,7.86,0.08838803068280985523817549005,
+2026-05-21 14:49:21,cornflower_observed.csv,2.351,0.842,4.486,2.511,2.209,5.03,9.83,11.111,5.71,0.1263243144874826070047580842,
+2026-05-21 14:49:22,cornflower_observed.csv,4.892,2.324,4.499,4.217,8.191,5.11,9.95,8.117,8.37,0.09326098279178621565419004165,
+2026-05-21 14:49:22,cornflower_observed.csv,1.637,0.722,6.025,7.399,5.377,5.29,10.23,6.608,7.49,0.04801481538181306803750768778,
+2026-05-21 14:49:22,cornflower_observed.csv,1.519,1.981,6.533,1.37,8.264,6.46,9.05,1.463,7.65,0.04744888695555553614907585039,
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+2026-05-21 14:49:23,cornflower_observed.csv,1.551,1.938,7.807,7.16,4.643,6.36,10.66,1.42,7.56,0.04952856381895857110900448675,
+2026-05-21 14:49:23,cornflower_observed.csv,4.891,1.777,3.012,5.954,6.333,6.74,10.73,5.263,8.01,0.05168795616522873442437764887,
+2026-05-21 14:49:24,cornflower_observed.csv,3.209,0.772,3.155,3.956,7.032,6.16,10.32,12.533,7.85,0.03721851083340223528694420728,
+2026-05-21 14:49:24,cornflower_observed.csv,4.229,1.85,3.811,4.452,7.871,6.42,10.25,3.595,7.15,0.005736119326411647322214570585,
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diff --git a/modelling/data/abingdon-flowers/seasonal/cornflower_simulated.csv b/modelling/data/abingdon-flowers/seasonal/cornflower_simulated.csv
new file mode 100644
index 0000000..c9a1243
--- /dev/null
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diff --git a/modelling/data/abingdon-flowers/seasonal/cornflower_simulated.png b/modelling/data/abingdon-flowers/seasonal/cornflower_simulated.png
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new file mode 100644
index 0000000..fb3096c
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/cornflower_synthesised.csv
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diff --git a/modelling/data/abingdon-flowers/seasonal/cornflower_synthesised.png b/modelling/data/abingdon-flowers/seasonal/cornflower_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/cow_parsley_classification.json b/modelling/data/abingdon-flowers/seasonal/cow_parsley_classification.json
new file mode 100644
index 0000000..9a5aa7c
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/cow_parsley_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Cow Parsley",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "moderate_spring_seasonal_presence",
+    "timing": "spring",
+    "season_width": "moderate",
+    "window_shape": "sharp",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "strong",
+    "peak_alignment": "central",
+    "traits": [
+      "spring_peak",
+      "moderate_season",
+      "sharp_seasonal_window",
+      "strong_post_peak_decline",
+      "strong_offseason_suppression",
+      "central_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 4.245,
+    "season_end_month": 7.395,
+    "forcing_peak_month": 5.11,
+    "season_width_months": 3.15,
+    "season_midpoint_month": 5.82,
+    "season_start_label": "April",
+    "season_end_label": "July",
+    "forcing_peak_label": "May"
+  },
+  "parameter_evidence": {
+    "GROWTH": 2.99,
+    "DECAY": 1.854,
+    "OOS_DECAY": 4.504,
+    "POST_PEAK_DECAY": 4.386,
+    "POST_PEAK_SHARPNESS": 5.442,
+    "SEASON_START": 4.245,
+    "SEASON_END": 7.395,
+    "SHARPNESS": 8.236,
+    "FORCING_PEAK": 5.11
+  },
+  "fit": {
+    "score": 0.015
+  },
+  "warnings": [],
+  "summary": "Cow Parsley is classified as moderate spring seasonal presence. The fitted seasonal window runs from about April to July, with a spring peak around May. The season is moderate, with a sharp active window, strong post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/cow_parsley_consensus.json b/modelling/data/abingdon-flowers/seasonal/cow_parsley_consensus.json
new file mode 100644
index 0000000..e3fd020
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/cow_parsley_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "2.99",
+  "DECAY": "1.854",
+  "OOS_DECAY": "4.504",
+  "POST_PEAK_DECAY": "4.386",
+  "POST_PEAK_SHARPNESS": "5.442",
+  "SEASON_START": "4.245",
+  "SEASON_END": "7.395",
+  "SHARPNESS": "8.236",
+  "FORCING_PEAK": "5.11",
+  "SCORE": "0.015",
+  "SPECIES": "Cow Parsley"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/cow_parsley_observed.csv b/modelling/data/abingdon-flowers/seasonal/cow_parsley_observed.csv
new file mode 100644
index 0000000..dcf27c5
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/cow_parsley_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,26
+5,86
+6,31
+7,20
+8,1
+9,1
+10,0
+11,0
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/cow_parsley_parameters.csv b/modelling/data/abingdon-flowers/seasonal/cow_parsley_parameters.csv
new file mode 100644
index 0000000..e8690da
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/cow_parsley_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
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diff --git a/modelling/data/abingdon-flowers/seasonal/cow_parsley_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/cow_parsley_synthesised.csv
new file mode 100644
index 0000000..6b5f3c7
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/cow_parsley_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-flowers/seasonal/cow_parsley_synthesised.png b/modelling/data/abingdon-flowers/seasonal/cow_parsley_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/cowslip_classification.json b/modelling/data/abingdon-flowers/seasonal/cowslip_classification.json
new file mode 100644
index 0000000..1e80e49
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/cowslip_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Cowslip",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "moderate_spring_seasonal_presence",
+    "timing": "spring",
+    "season_width": "moderate",
+    "window_shape": "sharp",
+    "post_peak_decline": "moderate",
+    "offseason_suppression": "strong",
+    "peak_alignment": "central",
+    "traits": [
+      "spring_peak",
+      "moderate_season",
+      "sharp_seasonal_window",
+      "moderate_post_peak_decline",
+      "strong_offseason_suppression",
+      "central_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 3.365,
+    "season_end_month": 5.43,
+    "forcing_peak_month": 4.245,
+    "season_width_months": 2.065,
+    "season_midpoint_month": 4.3975,
+    "season_start_label": "March",
+    "season_end_label": "May",
+    "forcing_peak_label": "April"
+  },
+  "parameter_evidence": {
+    "GROWTH": 3.016,
+    "DECAY": 1.294,
+    "OOS_DECAY": 4.264,
+    "POST_PEAK_DECAY": 2.648,
+    "POST_PEAK_SHARPNESS": 6.191,
+    "SEASON_START": 3.365,
+    "SEASON_END": 5.43,
+    "SHARPNESS": 8.368,
+    "FORCING_PEAK": 4.245
+  },
+  "fit": {
+    "score": 0.013
+  },
+  "warnings": [],
+  "summary": "Cowslip is classified as moderate spring seasonal presence. The fitted seasonal window runs from about March to May, with a spring peak around April. The season is moderate, with a sharp active window, moderate post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/cowslip_consensus.json b/modelling/data/abingdon-flowers/seasonal/cowslip_consensus.json
new file mode 100644
index 0000000..56e1d09
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/cowslip_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "3.016",
+  "DECAY": "1.294",
+  "OOS_DECAY": "4.264",
+  "POST_PEAK_DECAY": "2.648",
+  "POST_PEAK_SHARPNESS": "6.191",
+  "SEASON_START": "3.365",
+  "SEASON_END": "5.43",
+  "SHARPNESS": "8.368",
+  "FORCING_PEAK": "4.245",
+  "SCORE": "0.013",
+  "SPECIES": "Cowslip"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/cowslip_observed.csv b/modelling/data/abingdon-flowers/seasonal/cowslip_observed.csv
new file mode 100644
index 0000000..7521985
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/cowslip_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,5
+4,61
+5,38
+6,1
+7,0
+8,0
+9,0
+10,0
+11,0
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/cowslip_parameters.csv b/modelling/data/abingdon-flowers/seasonal/cowslip_parameters.csv
new file mode 100644
index 0000000..4b6f75a
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/cowslip_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 14:52:09,cowslip_observed.csv,3.091,2.08,5.505,2.152,9.804,3.43,5.67,2.581,5.24,0.02647040640732813541081918853,
+2026-05-21 14:52:10,cowslip_observed.csv,2.106,0.898,2.482,2.592,3.193,3.67,4.91,10.758,4.81,0.01478437152996036947045531751,
+2026-05-21 14:52:10,cowslip_observed.csv,3.355,2.955,3.233,7.23,1.365,3.0,5.59,4.514,4.39,0.02841466697818227516791908302,
+2026-05-21 14:52:10,cowslip_observed.csv,4.55,2.769,2.47,5.912,1.667,3.36,4.9,11.285,3.81,0.03548298096532072036649479002,
+2026-05-21 14:52:11,cowslip_observed.csv,1.53,0.944,5.767,7.488,1.306,2.25,5.06,11.619,3.63,0.1518384528589438277739335518,
+2026-05-21 14:52:11,cowslip_observed.csv,1.483,2.205,4.203,3.944,3.931,2.67,5.07,11.776,3.09,0.1344178542546464351635045210,
+2026-05-21 14:52:11,cowslip_observed.csv,2.637,2.988,1.824,4.026,7.891,2.87,4.51,13.307,3.11,0.1421286552190887426586774866,
+2026-05-21 14:52:11,cowslip_observed.csv,3.983,2.281,6.544,6.274,1.709,3.19,4.38,1.557,3.25,0.1596044001167616854920204877,
+2026-05-21 14:52:12,cowslip_observed.csv,3.645,2.573,4.217,0.686,4.197,3.38,5.13,2.132,4.29,0.05647948536163209674357582479,
+2026-05-21 14:52:12,cowslip_observed.csv,1.049,1.074,5.672,1.567,7.376,2.84,4.97,8.26,4.63,0.0302872259951233793178813364,
+2026-05-21 14:52:12,cowslip_observed.csv,4.537,0.732,7.457,3.348,1.45,3.15,5.07,3.233,3.43,0.03328920079114999865414980927,
+2026-05-21 14:52:12,cowslip_observed.csv,3.008,0.835,3.139,7.582,6.834,2.28,4.88,6.413,4.23,0.07437276973076675341355169849,
+2026-05-21 14:52:13,cowslip_observed.csv,3.277,2.248,2.495,7.104,8.709,3.56,4.14,7.05,3.98,0.07602056094753794948816287403,
+2026-05-21 14:52:13,cowslip_observed.csv,4.309,1.801,5.293,6.784,3.426,3.32,4.3,9.434,4.07,0.08231670600623664018133473757,
+2026-05-21 14:52:13,cowslip_observed.csv,3.82,0.596,4.091,1.083,4.906,2.97,5.15,11.754,4.36,0.01184553167525175649969835569,
+2026-05-21 14:52:14,cowslip_observed.csv,3.182,1.877,3.82,0.509,8.439,3.55,4.08,12.512,3.65,0.08976800178834325342186947969,
+2026-05-21 14:52:14,cowslip_observed.csv,4.647,1.439,7.16,3.219,9.853,2.33,4.98,13.607,3.98,0.08678332113136743004113936875,
+2026-05-21 14:52:14,cowslip_observed.csv,1.094,2.622,7.097,1.124,3.517,2.41,5.54,4.986,3.19,0.1079806846434690892700432563,
+2026-05-21 14:52:14,cowslip_observed.csv,3.91,1.345,5.792,2.182,7.836,2.36,4.98,8.539,4.37,0.07424350261375039545264476225,
+2026-05-21 14:52:15,cowslip_observed.csv,2.698,0.704,6.545,5.416,8.075,3.51,5.9,9.889,4.75,0.03600538987051675284424904355,
+2026-05-21 14:52:15,cowslip_observed.csv,3.203,2.717,6.539,6.189,8.669,3.74,5.07,8.229,4.23,0.0204821831473820381115093692,
+2026-05-21 14:52:15,cowslip_observed.csv,4.301,1.348,3.965,2.141,8.64,3.54,5.99,11.555,5.21,0.06259378365672343618364231138,
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diff --git a/modelling/data/abingdon-flowers/seasonal/cowslip_simulated.csv b/modelling/data/abingdon-flowers/seasonal/cowslip_simulated.csv
new file mode 100644
index 0000000..6a564b5
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/cowslip_simulated.csv
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diff --git a/modelling/data/abingdon-flowers/seasonal/cowslip_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/cowslip_synthesised.csv
new file mode 100644
index 0000000..b349297
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/cowslip_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-flowers/seasonal/cowslip_synthesised.png b/modelling/data/abingdon-flowers/seasonal/cowslip_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/cuckoo_pint_classification.json b/modelling/data/abingdon-flowers/seasonal/cuckoo_pint_classification.json
new file mode 100644
index 0000000..ef25398
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/cuckoo_pint_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Cuckoo Pint",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "extended_summer_seasonal_presence",
+    "timing": "summer",
+    "season_width": "broad",
+    "window_shape": "moderate",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "strong",
+    "peak_alignment": "late",
+    "traits": [
+      "summer_peak",
+      "broad_season",
+      "moderate_seasonal_window",
+      "strong_post_peak_decline",
+      "strong_offseason_suppression",
+      "late_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 3.925,
+    "season_end_month": 9.245,
+    "forcing_peak_month": 7.855,
+    "season_width_months": 5.32,
+    "season_midpoint_month": 6.585,
+    "season_start_label": "April",
+    "season_end_label": "September",
+    "forcing_peak_label": "August"
+  },
+  "parameter_evidence": {
+    "GROWTH": 3.748,
+    "DECAY": 1.671,
+    "OOS_DECAY": 4.395,
+    "POST_PEAK_DECAY": 4.752,
+    "POST_PEAK_SHARPNESS": 4.626,
+    "SEASON_START": 3.925,
+    "SEASON_END": 9.245,
+    "SHARPNESS": 4.398,
+    "FORCING_PEAK": 7.855
+  },
+  "fit": {
+    "score": 0.068
+  },
+  "warnings": [],
+  "summary": "Cuckoo Pint is classified as extended summer seasonal presence. The fitted seasonal window runs from about April to September, with a summer peak around August. The season is broad, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/cuckoo_pint_consensus.json b/modelling/data/abingdon-flowers/seasonal/cuckoo_pint_consensus.json
new file mode 100644
index 0000000..0febb75
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/cuckoo_pint_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "3.748",
+  "DECAY": "1.671",
+  "OOS_DECAY": "4.395",
+  "POST_PEAK_DECAY": "4.752",
+  "POST_PEAK_SHARPNESS": "4.626",
+  "SEASON_START": "3.925",
+  "SEASON_END": "9.245",
+  "SHARPNESS": "4.398",
+  "FORCING_PEAK": "7.855",
+  "SCORE": "0.068",
+  "SPECIES": "Cuckoo Pint"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/cuckoo_pint_observed.csv b/modelling/data/abingdon-flowers/seasonal/cuckoo_pint_observed.csv
new file mode 100644
index 0000000..a981aba
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/cuckoo_pint_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,1
+4,10
+5,6
+6,1
+7,20
+8,15
+9,3
+10,1
+11,0
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/cuckoo_pint_parameters.csv b/modelling/data/abingdon-flowers/seasonal/cuckoo_pint_parameters.csv
new file mode 100644
index 0000000..eaea5a6
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/cuckoo_pint_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 14:53:05,cuckoo_pint_observed.csv,3.65,1.218,2.656,6.618,1.413,4.41,8.93,5.647,6.11,0.2013451045148854243477143942,
+2026-05-21 14:53:06,cuckoo_pint_observed.csv,1.508,1.133,1.636,2.16,3.756,3.61,9.49,12.136,8.07,0.07818484392195781487989667059,
+2026-05-21 14:53:06,cuckoo_pint_observed.csv,4.127,0.634,3.705,3.108,3.461,4.07,8.45,10.265,6.92,0.1137510385055062155729184173,
+2026-05-21 14:53:06,cuckoo_pint_observed.csv,4.287,1.466,1.858,4.78,8.241,3.3,9.97,1.185,7.71,0.07697554781377627650787037036,
+2026-05-21 14:53:07,cuckoo_pint_observed.csv,3.213,2.435,1.623,7.885,3.585,3.61,8.81,11.34,6.14,0.2452545733505739221307610947,
+2026-05-21 14:53:07,cuckoo_pint_observed.csv,2.31,1.122,6.052,0.85,2.724,3.97,9.95,8.146,6.02,0.1272395762029513825490681256,
+2026-05-21 14:53:07,cuckoo_pint_observed.csv,3.923,0.531,2.432,7.744,1.343,4.07,9.69,10.066,7.41,0.1306004013951399337400237922,
+2026-05-21 14:53:07,cuckoo_pint_observed.csv,2.885,0.971,4.023,1.233,6.029,3.63,8.22,1.965,6.43,0.1847238731099277464342969216,
+2026-05-21 14:53:08,cuckoo_pint_observed.csv,1.765,2.24,2.828,6.408,4.248,4.59,8.66,11.969,6.28,0.1973437669119081038727339288,
+2026-05-21 14:53:08,cuckoo_pint_observed.csv,3.026,1.757,7.187,6.68,1.811,3.55,9.23,10.382,7.44,0.1143050101717070327078635088,
+2026-05-21 14:53:08,cuckoo_pint_observed.csv,4.815,0.622,1.812,5.245,1.327,4.98,9.66,5.19,6.82,0.1476735648382674820744994208,
+2026-05-21 14:53:08,cuckoo_pint_observed.csv,4.759,2.216,5.324,2.603,1.759,4.67,8.96,4.284,5.66,0.1633859160389986213910837420,
+2026-05-21 14:53:09,cuckoo_pint_observed.csv,4.351,1.122,6.065,1.144,5.076,4.93,9.52,4.003,7.47,0.07560357501608901600725858439,
+2026-05-21 14:53:09,cuckoo_pint_observed.csv,4.828,2.689,3.266,6.466,4.893,4.43,8.98,3.629,6.63,0.1653696173827679128244842858,
+2026-05-21 14:53:09,cuckoo_pint_observed.csv,3.436,1.702,3.403,0.672,9.849,4.84,8.15,2.916,5.61,0.1646650038454742623894679487,
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diff --git a/modelling/data/abingdon-flowers/seasonal/cuckoo_pint_simulated.csv b/modelling/data/abingdon-flowers/seasonal/cuckoo_pint_simulated.csv
new file mode 100644
index 0000000..d161efa
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/cuckoo_pint_simulated.csv
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diff --git a/modelling/data/abingdon-flowers/seasonal/cuckoo_pint_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/cuckoo_pint_synthesised.csv
new file mode 100644
index 0000000..31546a4
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/cuckoo_pint_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
+1,0,7.491762999999999e-08,5.289390462581887e-07
+2,0,4.8343438889999994e-05,0.0003413179575931276
+3,1,0.0146491849,0.1034272692484514
+4,10,0.33935861,2.3959650020015935
+5,6,1.045713,7.383021017613467
+6,1,1.6407479999999999,11.584131562491105
+7,20,2.0322039999999997,14.347918448061904
+8,15,1.769774,12.495090563496731
+9,3,0.27015591,1.9073749313267527
+10,1,0.0041426839,0.029248486251035353
+11,0,3.3388385e-05,0.00023573116925884087
+12,0,1.95119794e-07,1.3775993413626974e-06
diff --git a/modelling/data/abingdon-flowers/seasonal/cuckoo_pint_synthesised.png b/modelling/data/abingdon-flowers/seasonal/cuckoo_pint_synthesised.png
new file mode 100644
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diff --git a/modelling/data/abingdon-flowers/seasonal/dog_rose_classification.json b/modelling/data/abingdon-flowers/seasonal/dog_rose_classification.json
new file mode 100644
index 0000000..0e8c127
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/dog_rose_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Dog Rose",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "extended_summer_seasonal_presence",
+    "timing": "summer",
+    "season_width": "very_broad",
+    "window_shape": "sharp",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "strong",
+    "peak_alignment": "early",
+    "traits": [
+      "summer_peak",
+      "very_broad_season",
+      "sharp_seasonal_window",
+      "strong_post_peak_decline",
+      "strong_offseason_suppression",
+      "early_peak_alignment"
+    ],
+    "confidence": "medium"
+  },
+  "derived_metrics": {
+    "season_start_month": 5.12,
+    "season_end_month": 11.455,
+    "forcing_peak_month": 5.855,
+    "season_width_months": 6.335,
+    "season_midpoint_month": 8.2875,
+    "season_start_label": "May",
+    "season_end_label": "November",
+    "forcing_peak_label": "June"
+  },
+  "parameter_evidence": {
+    "GROWTH": 3.132,
+    "DECAY": 1.844,
+    "OOS_DECAY": 5.104,
+    "POST_PEAK_DECAY": 5.03,
+    "POST_PEAK_SHARPNESS": 6.297,
+    "SEASON_START": 5.12,
+    "SEASON_END": 11.455,
+    "SHARPNESS": 8.19,
+    "FORCING_PEAK": 5.855
+  },
+  "fit": {
+    "score": 0.085
+  },
+  "warnings": [],
+  "summary": "Dog Rose is classified as extended summer seasonal presence. The fitted seasonal window runs from about May to November, with a summer peak around June. The season is very_broad, with a sharp active window, strong post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/dog_rose_consensus.json b/modelling/data/abingdon-flowers/seasonal/dog_rose_consensus.json
new file mode 100644
index 0000000..e35522a
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/dog_rose_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "3.132",
+  "DECAY": "1.844",
+  "OOS_DECAY": "5.104",
+  "POST_PEAK_DECAY": "5.03",
+  "POST_PEAK_SHARPNESS": "6.297",
+  "SEASON_START": "5.12",
+  "SEASON_END": "11.455",
+  "SHARPNESS": "8.19",
+  "FORCING_PEAK": "5.855",
+  "SCORE": "0.085",
+  "SPECIES": "Dog Rose"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/dog_rose_observed.csv b/modelling/data/abingdon-flowers/seasonal/dog_rose_observed.csv
new file mode 100644
index 0000000..ee34e17
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/dog_rose_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,0
+5,22
+6,34
+7,1
+8,1
+9,6
+10,1
+11,2
+12,3
diff --git a/modelling/data/abingdon-flowers/seasonal/dog_rose_parameters.csv b/modelling/data/abingdon-flowers/seasonal/dog_rose_parameters.csv
new file mode 100644
index 0000000..ecbab59
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/dog_rose_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 14:55:29,dog_rose_observed.csv,2.375,1.657,7.126,1.864,1.903,4.62,11.07,7.122,4.63,0.1406110579325333691874321792,
+2026-05-21 14:55:30,dog_rose_observed.csv,1.229,1.293,4.458,3.418,7.918,5.88,11.66,8.403,6.17,0.1666607531326145677081792084,
+2026-05-21 14:55:30,dog_rose_observed.csv,3.116,2.604,7.938,5.004,6.876,5.81,11.24,14.134,6.96,0.2064269012690819085242751679,
+2026-05-21 14:55:30,dog_rose_observed.csv,4.739,0.65,1.751,7.885,4.747,4.19,11.41,3.815,5.72,0.1387173930323845764468344756,
+2026-05-21 14:55:31,dog_rose_observed.csv,1.642,1.12,1.079,1.705,7.028,5.23,11.02,10.797,5.96,0.09870100348174903627823518890,
+2026-05-21 14:55:31,dog_rose_observed.csv,1.6,0.672,3.49,0.057,8.918,4.05,11.28,12.944,5.23,0.1947964789256696153506772250,
+2026-05-21 14:55:31,dog_rose_observed.csv,2.639,2.16,6.514,4.827,8.229,4.13,11.93,6.098,5.35,0.1390678480034111448370973910,
+2026-05-21 14:55:31,dog_rose_observed.csv,2.044,1.688,5.352,7.386,8.732,4.32,11.05,14.519,6.78,0.1257598278752224102332794164,
+2026-05-21 14:55:32,dog_rose_observed.csv,3.775,2.148,7.354,6.673,6.081,4.84,11.31,8.512,6.54,0.08119676828939673918799250106,
+2026-05-21 14:55:32,dog_rose_observed.csv,1.198,1.836,6.953,3.013,2.745,4.51,11.44,3.644,6.67,0.1321862581038585303971892465,
+2026-05-21 14:55:32,dog_rose_observed.csv,2.976,1.597,7.432,0.015,5.326,4.67,11.33,9.974,4.96,0.1521885866887033440982694132,
+2026-05-21 14:55:32,dog_rose_observed.csv,4.201,0.756,6.505,5.362,6.262,4.72,11.79,11.5,6.73,0.1271764636157604136042375840,
+2026-05-21 14:55:33,dog_rose_observed.csv,4.592,2.549,1.564,2.657,8.464,4.13,11.92,10.978,6.15,0.1205209962346073853489805639,
+2026-05-21 14:55:33,dog_rose_observed.csv,4.495,0.964,3.665,4.753,1.772,4.93,11.58,9.888,6.93,0.1061775231712537212786636099,
+2026-05-21 14:55:33,dog_rose_observed.csv,3.835,1.406,5.298,1.467,7.956,5.05,11.28,14.031,5.86,0.09076380412590959760014607932,
+2026-05-21 14:55:33,dog_rose_observed.csv,2.028,1.153,6.891,3.815,4.001,5.22,11.13,4.315,5.41,0.09222767961095436336460938249,
+2026-05-21 14:55:34,dog_rose_observed.csv,2.314,1.974,6.029,2.286,1.424,5.91,11.12,11.138,7.33,0.2698656839282510979175193511,
+2026-05-21 14:55:34,dog_rose_observed.csv,1.718,2.566,7.321,5.583,8.261,5.5,11.62,12.852,5.71,0.0932239885452921023272428649,
+2026-05-21 14:55:34,dog_rose_observed.csv,1.886,2.282,2.129,1.739,3.612,5.9,11.29,11.36,6.45,0.2152215701025267045098198969,
+2026-05-21 14:55:35,dog_rose_observed.csv,2.09,0.652,4.262,5.664,2.8,4.97,11.66,10.347,6.2,0.08341128249933757713274314828,
+2026-05-21 14:55:35,dog_rose_observed.csv,1.228,1.769,3.224,6.178,7.445,4.92,11.11,3.139,7.12,0.1599551100577491334623481809,
+2026-05-21 14:55:35,dog_rose_observed.csv,2.562,0.874,3.281,5.079,3.146,5.75,11.76,13.608,7.41,0.2090803278816162774683260485,
+2026-05-21 14:55:35,dog_rose_observed.csv,4.294,1.618,6.6,7.768,9.333,5.96,11.26,14.238,7.28,0.2281663423056123275564223922,
+2026-05-21 14:55:36,dog_rose_observed.csv,2.547,1.457,3.586,2.035,8.539,5.19,11.13,12.214,6.07,0.09397154040147835712565567540,
+2026-05-21 14:55:36,dog_rose_observed.csv,1.288,2.671,5.183,5.557,9.214,4.7,11.35,10.735,6.94,0.1452652179436111189390911296,
+2026-05-21 14:55:36,dog_rose_observed.csv,2.341,1.321,3.037,6.117,9.92,5.96,11.67,8.759,6.43,0.1722343977604482454212695628,
+2026-05-21 14:55:36,dog_rose_observed.csv,2.657,2.178,4.91,4.954,9.666,5.36,11.23,7.224,5.82,0.06781822982119686810364447309,
+2026-05-21 14:55:37,dog_rose_observed.csv,3.011,1.119,1.701,7.843,1.235,4.31,11.76,14.766,6.01,0.1387864762256212340190502257,
+2026-05-21 14:55:37,dog_rose_observed.csv,2.82,2.405,7.375,1.835,2.628,5.4,11.66,7.324,5.77,0.1144535481240425215728811407,
+2026-05-21 14:55:37,dog_rose_observed.csv,1.276,2.94,4.714,6.183,7.301,4.6,11.72,10.917,7.04,0.1491324392885143060411992491,
+2026-05-21 14:55:38,dog_rose_observed.csv,3.124,2.07,6.986,2.536,4.251,5.91,11.17,4.485,7.32,0.2597218157598882388743181659,
+2026-05-21 14:55:38,dog_rose_observed.csv,4.156,1.75,5.995,5.117,2.678,5.07,11.84,10.445,7.09,0.1039135143737302481322273866,
+2026-05-21 14:55:38,dog_rose_observed.csv,3.876,2.307,7.108,1.811,8.091,4.16,11.55,9.784,6.02,0.1208950938660524327694211772,
+2026-05-21 14:55:38,dog_rose_observed.csv,4.647,0.502,5.195,2.022,6.165,4.47,11.47,4.16,5.28,0.1040638039416558998046007305,
+2026-05-21 14:55:39,dog_rose_observed.csv,2.725,2.254,6.469,7.319,7.15,5.09,11.24,14.722,7.37,0.1713858870226394187102062929,
+2026-05-21 14:55:39,dog_rose_observed.csv,1.674,2.082,6.609,4.862,6.155,4.5,11.46,7.804,6.25,0.09054801468830663480832601966,
+2026-05-21 14:55:39,dog_rose_observed.csv,2.242,2.64,6.012,3.992,9.978,4.78,11.52,2.274,6.77,0.1694519602347305289534988889,
+2026-05-21 14:55:40,dog_rose_observed.csv,2.407,2.98,5.75,5.338,9.011,5.67,11.58,5.894,7.32,0.1829281653087206010329651729,
+2026-05-21 14:55:40,dog_rose_observed.csv,1.299,1.114,7.351,4.847,9.721,4.49,11.65,1.113,7.15,0.1946174185782682466428317386,
+2026-05-21 14:55:40,dog_rose_observed.csv,2.51,2.878,2.938,0.341,7.254,4.67,11.88,14.512,6.58,0.1796658414282385384624658954,
+2026-05-21 14:55:40,dog_rose_observed.csv,4.189,1.466,1.128,2.818,3.063,4.24,11.44,3.708,5.87,0.09609088570074646398301420706,
+2026-05-21 14:55:41,dog_rose_observed.csv,3.595,2.62,7.952,1.388,2.795,4.54,11.5,7.709,6.6,0.1422618162137496043850502177,
+2026-05-21 14:55:41,dog_rose_observed.csv,4.032,2.322,5.77,6.795,9.195,5.73,11.51,4.969,6.11,0.09205446357730160691395533006,
+2026-05-21 14:55:41,dog_rose_observed.csv,2.949,0.87,5.74,4.137,5.086,4.61,11.51,3.672,5.98,0.1008030379206861515193492618,
+2026-05-21 14:55:41,dog_rose_observed.csv,3.117,2.284,4.14,3.58,8.49,4.25,11.33,9.56,7.5,0.1938094741971447131900784356,
+2026-05-21 14:55:42,dog_rose_observed.csv,1.758,1.745,2.129,6.199,6.033,5.88,11.25,11.888,6.58,0.1735548887896499765656623138,
+2026-05-21 14:55:42,dog_rose_observed.csv,1.41,2.042,4.155,6.463,5.474,5.83,11.23,14.691,7.48,0.2338151208969420129246735315,
+2026-05-21 14:55:42,dog_rose_observed.csv,3.392,1.386,1.744,3.81,6.537,4.21,11.52,4.517,5.85,0.1027095212038987423779014018,
+2026-05-21 14:55:43,dog_rose_observed.csv,2.194,1.244,3.458,1.052,9.96,5.34,11.8,9.197,6.54,0.1657627261034043462100984436,
+2026-05-21 14:55:43,dog_rose_observed.csv,4.039,1.98,4.254,0.673,2.427,4.94,11.15,10.781,5.62,0.1181688482273773233717447172,
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diff --git a/modelling/data/abingdon-flowers/seasonal/dog_rose_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/dog_rose_synthesised.csv
new file mode 100644
index 0000000..01ac270
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/dog_rose_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
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diff --git a/modelling/data/abingdon-flowers/seasonal/dog_rose_synthesised.png b/modelling/data/abingdon-flowers/seasonal/dog_rose_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/doves_foot_cranesbill_classification.json b/modelling/data/abingdon-flowers/seasonal/doves_foot_cranesbill_classification.json
new file mode 100644
index 0000000..6fe74d0
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/doves_foot_cranesbill_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Doves Foot Cranesbill",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "extended_spring_seasonal_presence",
+    "timing": "spring",
+    "season_width": "very_broad",
+    "window_shape": "sharp",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "strong",
+    "peak_alignment": "early",
+    "traits": [
+      "spring_peak",
+      "very_broad_season",
+      "sharp_seasonal_window",
+      "strong_post_peak_decline",
+      "strong_offseason_suppression",
+      "early_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 4.185,
+    "season_end_month": 10.41,
+    "forcing_peak_month": 5.4,
+    "season_width_months": 6.225,
+    "season_midpoint_month": 7.2975,
+    "season_start_label": "April",
+    "season_end_label": "October",
+    "forcing_peak_label": "May"
+  },
+  "parameter_evidence": {
+    "GROWTH": 2.372,
+    "DECAY": 1.991,
+    "OOS_DECAY": 5.62,
+    "POST_PEAK_DECAY": 3.763,
+    "POST_PEAK_SHARPNESS": 6.192,
+    "SEASON_START": 4.185,
+    "SEASON_END": 10.41,
+    "SHARPNESS": 9.277,
+    "FORCING_PEAK": 5.4
+  },
+  "fit": {
+    "score": 0.042
+  },
+  "warnings": [],
+  "summary": "Doves Foot Cranesbill is classified as extended spring seasonal presence. The fitted seasonal window runs from about April to October, with a spring peak around May. The season is very_broad, with a sharp active window, strong post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/doves_foot_cranesbill_consensus.json b/modelling/data/abingdon-flowers/seasonal/doves_foot_cranesbill_consensus.json
new file mode 100644
index 0000000..617fea4
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/doves_foot_cranesbill_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "2.372",
+  "DECAY": "1.991",
+  "OOS_DECAY": "5.62",
+  "POST_PEAK_DECAY": "3.763",
+  "POST_PEAK_SHARPNESS": "6.192",
+  "SEASON_START": "4.185",
+  "SEASON_END": "10.41",
+  "SHARPNESS": "9.277",
+  "FORCING_PEAK": "5.4",
+  "SCORE": "0.042",
+  "SPECIES": "Doves Foot Cranesbill"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/doves_foot_cranesbill_observed.csv b/modelling/data/abingdon-flowers/seasonal/doves_foot_cranesbill_observed.csv
new file mode 100644
index 0000000..b487430
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/doves_foot_cranesbill_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,7
+5,30
+6,25
+7,6
+8,9
+9,1
+10,2
+11,0
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/doves_foot_cranesbill_parameters.csv b/modelling/data/abingdon-flowers/seasonal/doves_foot_cranesbill_parameters.csv
new file mode 100644
index 0000000..ec704a3
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/doves_foot_cranesbill_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 14:56:26,doves_foot_cranesbill_observed.csv,4.74,2.032,7.101,4.389,7.003,3.19,10.56,14.833,6.47,0.08267084259792550481658697458,
+2026-05-21 14:56:26,doves_foot_cranesbill_observed.csv,4.098,2.441,7.2,1.974,1.42,4.79,9.75,12.003,6.41,0.1201199060477826063870898970,
+2026-05-21 14:56:26,doves_foot_cranesbill_observed.csv,1.654,1.922,3.37,2.7,2.161,4.44,10.23,13.1,6.39,0.05361351002979752632544617354,
+2026-05-21 14:56:26,doves_foot_cranesbill_observed.csv,3.659,1.763,4.53,2.328,6.283,3.57,10.08,2.768,5.73,0.07685829864426807829004957407,
+2026-05-21 14:56:27,doves_foot_cranesbill_observed.csv,4.747,2.0,4.372,7.076,5.83,4.67,10.78,11.812,6.21,0.05870226657774379673324987882,
+2026-05-21 14:56:27,doves_foot_cranesbill_observed.csv,3.983,2.78,3.828,4.077,9.662,3.39,9.37,12.058,4.6,0.1522833582661083511749160658,
+2026-05-21 14:56:27,doves_foot_cranesbill_observed.csv,2.185,1.283,3.918,0.712,9.468,3.54,9.29,1.051,5.58,0.09193018369481422139209629629,
+2026-05-21 14:56:28,doves_foot_cranesbill_observed.csv,1.241,2.99,7.361,1.992,9.478,4.08,10.24,9.365,5.2,0.03382001271757750829481672270,
+2026-05-21 14:56:28,doves_foot_cranesbill_observed.csv,1.902,1.347,7.109,4.326,6.727,3.33,10.26,13.285,3.73,0.2190255891770538138189142397,
+2026-05-21 14:56:28,doves_foot_cranesbill_observed.csv,2.885,0.827,5.745,6.407,8.6,4.46,10.44,14.426,5.72,0.05546761790983673887742855868,
+2026-05-21 14:56:28,doves_foot_cranesbill_observed.csv,2.905,0.597,5.055,7.804,1.396,3.28,10.6,11.1,4.92,0.1653267476436771098983976806,
+2026-05-21 14:56:29,doves_foot_cranesbill_observed.csv,1.251,1.443,4.127,4.883,3.099,3.6,9.65,11.824,4.42,0.1553409632537180665619017307,
+2026-05-21 14:56:29,doves_foot_cranesbill_observed.csv,4.123,1.346,1.587,6.247,4.668,4.75,9.04,12.937,5.5,0.07559596863294443956174727306,
+2026-05-21 14:56:29,doves_foot_cranesbill_observed.csv,2.555,1.31,2.882,1.291,5.469,4.99,9.07,8.788,6.5,0.1647954441505018476121133899,
+2026-05-21 14:56:30,doves_foot_cranesbill_observed.csv,1.616,1.477,3.522,1.932,8.912,4.45,10.44,9.189,4.79,0.03053455718930959878551264770,
+2026-05-21 14:56:30,doves_foot_cranesbill_observed.csv,4.149,2.133,2.9,4.446,3.405,3.67,10.53,6.2,4.32,0.1484913091304169202321511522,
+2026-05-21 14:56:30,doves_foot_cranesbill_observed.csv,2.319,2.594,1.461,4.22,9.371,4.06,10.65,11.621,6.31,0.04515406144267188239318032711,
+2026-05-21 14:56:30,doves_foot_cranesbill_observed.csv,3.33,0.503,1.41,5.257,2.448,3.93,9.67,9.548,5.0,0.06941799382493304509322228219,
+2026-05-21 14:56:31,doves_foot_cranesbill_observed.csv,2.403,2.979,3.783,2.078,4.459,3.77,10.95,9.969,4.67,0.07868021296788157713377092109,
+2026-05-21 14:56:31,doves_foot_cranesbill_observed.csv,2.533,1.541,7.641,6.899,7.101,4.8,9.67,14.961,4.86,0.09503302546322695654273633557,
+2026-05-21 14:56:31,doves_foot_cranesbill_observed.csv,2.815,2.587,1.772,5.255,8.535,3.35,10.64,1.974,4.1,0.1986977564414665410524074075,
+2026-05-21 14:56:32,doves_foot_cranesbill_observed.csv,2.322,1.271,7.163,3.467,8.593,3.56,9.38,3.316,4.58,0.1000863092216342939539912649,
+2026-05-21 14:56:32,doves_foot_cranesbill_observed.csv,3.012,2.593,2.613,3.841,7.544,4.02,10.43,8.712,4.77,0.04880907397399932021387210924,
+2026-05-21 14:56:32,doves_foot_cranesbill_observed.csv,1.727,2.745,6.824,7.004,4.832,3.39,10.91,3.644,4.73,0.1465681099723049304483787037,
+2026-05-21 14:56:32,doves_foot_cranesbill_observed.csv,1.811,1.825,6.281,4.365,5.383,4.45,10.19,3.929,5.56,0.04952643690464941795770965907,
+2026-05-21 14:56:33,doves_foot_cranesbill_observed.csv,3.821,2.176,7.162,3.086,7.387,3.04,9.09,7.65,3.52,0.1972073173009234591371793215,
+2026-05-21 14:56:33,doves_foot_cranesbill_observed.csv,1.888,1.796,4.964,1.951,1.929,4.42,9.87,4.763,6.18,0.07880396867345394988460187924,
+2026-05-21 14:56:33,doves_foot_cranesbill_observed.csv,2.213,2.92,1.329,2.932,1.595,3.4,9.61,14.031,5.75,0.09096869683198119862274796584,
+2026-05-21 14:56:33,doves_foot_cranesbill_observed.csv,1.897,2.267,5.505,1.815,5.787,4.32,9.64,3.627,5.21,0.03038795800681119837251697316,
+2026-05-21 14:56:34,doves_foot_cranesbill_observed.csv,1.401,2.537,2.969,0.152,2.591,4.9,9.75,7.25,5.9,0.1447797707591996412981613043,
+2026-05-21 14:56:34,doves_foot_cranesbill_observed.csv,3.098,1.878,6.602,5.019,6.067,3.69,10.81,2.306,5.6,0.04875958135892198450935185185,
+2026-05-21 14:56:34,doves_foot_cranesbill_observed.csv,1.197,2.937,2.768,4.42,3.611,4.54,9.84,10.367,5.06,0.03032359224376380823955216118,
+2026-05-21 14:56:35,doves_foot_cranesbill_observed.csv,4.138,0.633,5.23,2.017,6.886,4.59,9.36,3.066,6.24,0.1017130569378655967521895874,
+2026-05-21 14:56:35,doves_foot_cranesbill_observed.csv,1.276,0.603,4.511,5.535,2.421,3.26,9.36,1.509,4.1,0.1935752527197535706924898148,
+2026-05-21 14:56:35,doves_foot_cranesbill_observed.csv,1.93,0.954,4.387,4.33,7.572,4.3,9.61,2.192,5.94,0.06338983298307431526467017824,
+2026-05-21 14:56:35,doves_foot_cranesbill_observed.csv,1.79,1.27,4.028,5.224,6.863,3.51,9.99,12.384,3.69,0.2173048961491186918899861208,
+2026-05-21 14:56:36,doves_foot_cranesbill_observed.csv,4.787,0.583,3.541,6.28,4.206,3.31,9.26,8.57,6.46,0.1060359985212066272411451669,
+2026-05-21 14:56:36,doves_foot_cranesbill_observed.csv,1.361,2.303,5.736,4.722,5.886,4.44,10.82,8.329,5.88,0.02758636978706275460376655299,
+2026-05-21 14:56:36,doves_foot_cranesbill_observed.csv,4.775,2.958,4.686,5.087,4.056,3.87,10.02,12.347,4.43,0.1187690101832864666945069329,
+2026-05-21 14:56:36,doves_foot_cranesbill_observed.csv,3.913,2.412,7.11,3.992,1.386,4.35,9.55,9.591,6.49,0.06906632673195047656336053518,
+2026-05-21 14:56:37,doves_foot_cranesbill_observed.csv,2.933,1.792,6.69,7.666,3.34,3.37,9.92,6.518,4.68,0.1655255979974263816506986473,
+2026-05-21 14:56:37,doves_foot_cranesbill_observed.csv,2.755,2.403,1.249,0.282,9.908,3.88,9.55,5.711,5.58,0.09151816358213264494363683808,
+2026-05-21 14:56:37,doves_foot_cranesbill_observed.csv,4.998,1.785,7.729,2.311,6.274,3.94,9.42,4.653,5.87,0.05452325145704972063170842394,
+2026-05-21 14:56:38,doves_foot_cranesbill_observed.csv,2.654,1.515,5.569,1.743,5.16,4.59,9.85,9.576,6.05,0.07561440874741859412159401349,
+2026-05-21 14:56:38,doves_foot_cranesbill_observed.csv,2.545,1.234,6.406,2.735,9.158,4.7,10.02,11.463,5.36,0.07662150825961339899648623071,
+2026-05-21 14:56:38,doves_foot_cranesbill_observed.csv,1.673,2.008,7.874,6.663,6.536,4.59,10.97,14.847,5.07,0.04182335386881352522011535208,
+2026-05-21 14:56:38,doves_foot_cranesbill_observed.csv,4.697,1.316,1.207,5.724,8.849,4.44,10.42,14.455,4.83,0.07222822699410955695635073703,
+2026-05-21 14:56:39,doves_foot_cranesbill_observed.csv,2.283,2.202,4.58,0.844,6.156,4.79,10.83,4.708,5.89,0.07825999638122132751177838699,
+2026-05-21 14:56:39,doves_foot_cranesbill_observed.csv,4.147,2.073,1.345,5.16,4.762,4.18,9.72,3.284,6.04,0.05064279588491610379385896483,
+2026-05-21 14:56:39,doves_foot_cranesbill_observed.csv,1.192,2.083,5.773,6.428,8.433,4.81,10.53,14.363,5.77,0.07661378283674256031406047338,
+2026-05-21 14:56:39,doves_foot_cranesbill_observed.csv,1.871,0.758,2.993,1.549,6.109,3.93,9.44,11.197,4.17,0.04208346678369790693926209264,
+2026-05-21 14:56:40,doves_foot_cranesbill_observed.csv,2.205,2.21,4.17,7.373,6.588,3.12,10.38,10.428,4.82,0.1695168516526446429716389784,
+2026-05-21 14:56:40,doves_foot_cranesbill_observed.csv,4.043,0.884,6.344,7.846,4.361,3.81,9.67,7.107,6.2,0.07317060959345649092616854840,
+2026-05-21 14:56:40,doves_foot_cranesbill_observed.csv,2.865,2.316,5.382,2.565,5.058,4.81,10.92,11.993,4.93,0.05495672711375682192201124725,
+2026-05-21 14:56:41,doves_foot_cranesbill_observed.csv,4.266,1.086,4.119,1.85,1.315,4.1,9.58,12.099,5.77,0.06475840939739870636725631157,
+2026-05-21 14:56:41,doves_foot_cranesbill_observed.csv,4.417,1.527,2.602,7.827,8.538,3.35,10.98,8.817,3.52,0.2332299461472321249790080683,
+2026-05-21 14:56:41,doves_foot_cranesbill_observed.csv,2.333,2.283,1.863,6.814,9.984,5.0,9.12,10.869,5.93,0.1073656947753904928048168207,
+2026-05-21 14:56:41,doves_foot_cranesbill_observed.csv,2.489,2.662,5.18,1.528,7.09,4.17,10.27,14.543,6.44,0.07379331318227053686633032263,
+2026-05-21 14:56:42,doves_foot_cranesbill_observed.csv,2.584,1.479,1.061,0.912,8.017,3.51,9.19,11.273,4.21,0.08316505161146112438083892189,
+2026-05-21 14:56:42,doves_foot_cranesbill_observed.csv,2.017,1.55,3.081,6.873,7.199,4.65,10.73,2.076,6.4,0.08102414059321608409297083564,
+2026-05-21 14:56:42,doves_foot_cranesbill_observed.csv,3.213,1.991,4.281,5.424,9.935,3.8,9.63,1.394,4.65,0.1003376661137634680522629630,
+2026-05-21 14:56:43,doves_foot_cranesbill_observed.csv,3.226,2.431,3.3,7.053,4.317,4.26,9.12,14.991,4.57,0.07890946018089710691341795148,
+2026-05-21 14:56:43,doves_foot_cranesbill_observed.csv,4.472,1.818,2.453,3.782,4.053,4.8,9.27,2.447,6.19,0.07587142891914727128947279851,
+2026-05-21 14:56:43,doves_foot_cranesbill_observed.csv,1.311,2.054,1.337,6.636,1.934,3.42,9.86,14.706,4.32,0.1762723558009485358270192114,
+2026-05-21 14:56:43,doves_foot_cranesbill_observed.csv,2.522,2.233,1.45,6.912,9.361,3.09,9.96,4.348,5.72,0.07388471710635190491191076328,
+2026-05-21 14:56:44,doves_foot_cranesbill_observed.csv,1.064,1.236,7.233,1.084,3.34,4.87,9.45,7.165,5.83,0.1204612151445850865005315973,
+2026-05-21 14:56:44,doves_foot_cranesbill_observed.csv,1.383,1.044,3.926,3.187,5.784,4.74,9.7,2.786,5.15,0.05511277238774140128382921295,
+2026-05-21 14:56:44,doves_foot_cranesbill_observed.csv,1.01,1.48,1.892,6.764,7.254,3.67,9.46,10.645,4.06,0.2094219787373010222659599465,
+2026-05-21 14:56:44,doves_foot_cranesbill_observed.csv,2.55,2.073,6.921,1.045,7.546,3.57,9.03,11.164,4.9,0.09574845078362388485178932034,
+2026-05-21 14:56:45,doves_foot_cranesbill_observed.csv,1.449,1.899,7.686,5.065,6.993,4.92,10.13,10.363,5.03,0.06415872269834400449563333198,
+2026-05-21 14:56:45,doves_foot_cranesbill_observed.csv,4.0,1.697,7.632,3.965,1.985,3.72,10.82,2.009,6.44,0.07001723492892718264884760184,
+2026-05-21 14:56:45,doves_foot_cranesbill_observed.csv,1.18,2.982,6.044,7.817,2.1,3.82,9.45,2.143,3.94,0.1424529619648314264177490741,
+2026-05-21 14:56:46,doves_foot_cranesbill_observed.csv,1.741,2.14,3.276,2.854,3.272,3.37,10.62,8.39,4.14,0.1604865215773030379053173351,
+2026-05-21 14:56:46,doves_foot_cranesbill_observed.csv,2.614,1.05,4.195,6.032,6.458,3.59,9.66,14.286,4.13,0.2046308607708029572749943862,
+2026-05-21 14:56:46,doves_foot_cranesbill_observed.csv,1.263,2.401,2.541,3.414,7.23,3.02,10.38,9.422,3.77,0.2069553880329204746181527005,
+2026-05-21 14:56:46,doves_foot_cranesbill_observed.csv,4.335,2.523,5.094,4.068,9.732,3.89,10.21,8.785,4.78,0.05487204838932085152900034305,
+2026-05-21 14:56:47,doves_foot_cranesbill_observed.csv,2.261,2.126,5.292,2.419,2.261,3.78,10.77,11.156,6.48,0.06508228247910618653301155844,
+2026-05-21 14:56:47,doves_foot_cranesbill_observed.csv,2.09,1.46,4.205,2.215,3.406,4.3,10.04,13.04,5.84,0.05573971803609392318757529394,
+2026-05-21 14:56:47,doves_foot_cranesbill_observed.csv,3.026,1.041,5.545,1.57,5.091,3.49,9.54,9.315,5.75,0.08304585499870091425350376322,
+2026-05-21 14:56:47,doves_foot_cranesbill_observed.csv,3.443,1.657,6.867,7.217,8.089,4.65,10.99,9.612,6.0,0.05743622103334906765003413349,
+2026-05-21 14:56:48,doves_foot_cranesbill_observed.csv,2.163,0.932,4.269,6.309,5.491,4.96,9.86,8.133,6.12,0.1016534821760240163502424914,
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diff --git a/modelling/data/abingdon-flowers/seasonal/doves_foot_cranesbill_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/doves_foot_cranesbill_synthesised.csv
new file mode 100644
index 0000000..e7a11e1
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/doves_foot_cranesbill_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-flowers/seasonal/doves_foot_cranesbill_synthesised.png b/modelling/data/abingdon-flowers/seasonal/doves_foot_cranesbill_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/garlic_mustard_classification.json b/modelling/data/abingdon-flowers/seasonal/garlic_mustard_classification.json
new file mode 100644
index 0000000..add05db
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/garlic_mustard_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Garlic Mustard",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "moderate_spring_seasonal_presence",
+    "timing": "spring",
+    "season_width": "moderate",
+    "window_shape": "sharp",
+    "post_peak_decline": "moderate",
+    "offseason_suppression": "strong",
+    "peak_alignment": "central",
+    "traits": [
+      "spring_peak",
+      "moderate_season",
+      "sharp_seasonal_window",
+      "moderate_post_peak_decline",
+      "strong_offseason_suppression",
+      "central_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 3.965,
+    "season_end_month": 6.315,
+    "forcing_peak_month": 5.07,
+    "season_width_months": 2.35,
+    "season_midpoint_month": 5.14,
+    "season_start_label": "April",
+    "season_end_label": "June",
+    "forcing_peak_label": "May"
+  },
+  "parameter_evidence": {
+    "GROWTH": 2.634,
+    "DECAY": 1.8,
+    "OOS_DECAY": 4.113,
+    "POST_PEAK_DECAY": 3.203,
+    "POST_PEAK_SHARPNESS": 5.692,
+    "SEASON_START": 3.965,
+    "SEASON_END": 6.315,
+    "SHARPNESS": 11.033,
+    "FORCING_PEAK": 5.07
+  },
+  "fit": {
+    "score": 0.02
+  },
+  "warnings": [],
+  "summary": "Garlic Mustard is classified as moderate spring seasonal presence. The fitted seasonal window runs from about April to June, with a spring peak around May. The season is moderate, with a sharp active window, moderate post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/garlic_mustard_consensus.json b/modelling/data/abingdon-flowers/seasonal/garlic_mustard_consensus.json
new file mode 100644
index 0000000..ceebf44
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/garlic_mustard_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "2.634",
+  "DECAY": "1.8",
+  "OOS_DECAY": "4.113",
+  "POST_PEAK_DECAY": "3.203",
+  "POST_PEAK_SHARPNESS": "5.692",
+  "SEASON_START": "3.965",
+  "SEASON_END": "6.315",
+  "SHARPNESS": "11.033",
+  "FORCING_PEAK": "5.07",
+  "SCORE": "0.02",
+  "SPECIES": "Garlic Mustard"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/garlic_mustard_observed.csv b/modelling/data/abingdon-flowers/seasonal/garlic_mustard_observed.csv
new file mode 100644
index 0000000..8e9212d
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/garlic_mustard_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,69
+5,86
+6,31
+7,0
+8,0
+9,0
+10,0
+11,0
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/garlic_mustard_parameters.csv b/modelling/data/abingdon-flowers/seasonal/garlic_mustard_parameters.csv
new file mode 100644
index 0000000..8b6f167
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/garlic_mustard_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 14:57:22,garlic_mustard_observed.csv,2.853,2.366,2.217,0.728,4.094,4.57,6.2,11.7,6.01,0.04089153380943472893023605201,
+2026-05-21 14:57:22,garlic_mustard_observed.csv,3.6,1.731,7.162,4.581,9.19,3.32,5.22,6.537,4.43,0.1208592176408215000036833712,
+2026-05-21 14:57:22,garlic_mustard_observed.csv,1.597,1.468,6.31,3.866,7.4,3.99,5.0,8.177,4.97,0.1082594361394333388011360308,
+2026-05-21 14:57:23,garlic_mustard_observed.csv,1.678,2.009,5.568,2.371,7.387,4.06,5.18,7.343,4.92,0.09029973770848087299952065041,
+2026-05-21 14:57:23,garlic_mustard_observed.csv,2.289,0.803,5.011,2.404,5.571,4.48,6.8,10.081,5.51,0.08380439080219611492742299009,
+2026-05-21 14:57:23,garlic_mustard_observed.csv,4.976,1.075,5.689,7.044,6.728,4.74,5.05,12.111,4.81,0.1042374172947078102559343376,
+2026-05-21 14:57:23,garlic_mustard_observed.csv,2.541,2.676,5.44,7.996,6.4,4.86,6.95,9.505,5.48,0.08301490229582778252077368197,
+2026-05-21 14:57:24,garlic_mustard_observed.csv,2.88,2.473,5.548,4.474,1.634,3.97,6.76,5.626,4.08,0.003457519071931433024772085178,
+2026-05-21 14:57:24,garlic_mustard_observed.csv,4.674,1.051,2.419,1.038,1.997,3.04,5.3,1.693,3.88,0.1181197942804082603696678865,
+2026-05-21 14:57:24,garlic_mustard_observed.csv,3.92,2.186,2.079,1.076,6.704,3.95,6.37,2.126,5.46,0.05257707113265727399549261193,
+2026-05-21 14:57:25,garlic_mustard_observed.csv,1.586,2.052,7.12,0.203,6.463,4.44,5.21,13.584,4.89,0.08654216350183465524025371715,
+2026-05-21 14:57:25,garlic_mustard_observed.csv,3.117,2.081,3.014,1.797,5.916,3.03,5.19,7.814,4.69,0.1219595492812644801683213981,
+2026-05-21 14:57:25,garlic_mustard_observed.csv,4.612,1.224,6.55,1.264,7.725,3.76,5.69,5.277,4.48,0.04114414008543412766141639688,
+2026-05-21 14:57:25,garlic_mustard_observed.csv,2.128,0.781,2.771,4.996,5.682,4.12,6.48,12.167,5.04,0.01983589678155780841119105408,
+2026-05-21 14:57:26,garlic_mustard_observed.csv,1.145,1.841,3.629,6.431,5.702,5.0,6.14,1.613,6.09,0.07678772471577091487152817606,
+2026-05-21 14:57:26,garlic_mustard_observed.csv,2.671,0.819,5.423,5.565,1.84,3.8,6.56,14.821,4.94,0.002857178944855341306012162747,
+2026-05-21 14:57:26,garlic_mustard_observed.csv,3.509,1.867,7.48,5.724,2.053,3.64,6.89,2.891,4.07,0.05164553078083880796029718827,
+2026-05-21 14:57:26,garlic_mustard_observed.csv,1.588,1.284,3.292,5.179,9.384,3.84,6.83,14.576,4.05,0.04835937378647099742616249059,
+2026-05-21 14:57:27,garlic_mustard_observed.csv,1.484,1.404,5.855,7.662,9.179,4.88,5.01,8.638,5.0,0.09729706207672244029293979675,
+2026-05-21 14:57:27,garlic_mustard_observed.csv,4.005,2.498,7.268,7.552,4.252,3.69,5.22,9.74,4.79,0.1135660537139181988676930131,
+2026-05-21 14:57:27,garlic_mustard_observed.csv,4.243,1.746,1.379,2.049,1.605,4.06,5.02,1.107,4.16,0.1289871462047663207360171849,
+2026-05-21 14:57:28,garlic_mustard_observed.csv,4.441,2.121,7.354,3.574,9.666,4.47,6.97,2.033,4.95,0.04596422665520893619263350323,
+2026-05-21 14:57:28,garlic_mustard_observed.csv,4.192,1.077,5.96,5.713,9.238,4.18,6.17,4.924,4.25,0.03116200743420181554005531169,
+2026-05-21 14:57:28,garlic_mustard_observed.csv,1.83,2.736,6.409,1.044,4.403,3.92,5.4,14.547,4.42,0.07300494062437425689877077513,
+2026-05-21 14:57:28,garlic_mustard_observed.csv,4.542,2.855,6.314,1.645,3.977,4.6,5.86,1.323,5.42,0.05119871070436521103179804063,
+2026-05-21 14:57:29,garlic_mustard_observed.csv,2.544,0.79,3.77,2.118,9.468,3.82,6.58,8.366,5.45,0.02418853660984146400546981616,
+2026-05-21 14:57:29,garlic_mustard_observed.csv,3.436,0.718,4.829,2.426,8.824,3.38,6.03,1.685,4.3,0.08270663967180517378091969080,
+2026-05-21 14:57:29,garlic_mustard_observed.csv,1.414,1.353,5.663,7.749,8.338,3.82,5.19,8.53,4.8,0.08777487133942235309152835684,
+2026-05-21 14:57:30,garlic_mustard_observed.csv,3.36,2.097,5.971,0.896,1.416,4.59,6.75,8.911,5.02,0.05389709785940600066362778272,
+2026-05-21 14:57:30,garlic_mustard_observed.csv,4.085,0.87,3.701,3.297,1.851,4.69,5.44,14.641,5.04,0.08650564305986974862480467775,
+2026-05-21 14:57:30,garlic_mustard_observed.csv,1.521,1.815,1.96,0.032,1.667,4.1,5.96,10.821,4.56,0.01105562975172694477254157008,
+2026-05-21 14:57:30,garlic_mustard_observed.csv,4.955,1.27,2.193,5.262,1.535,3.63,5.56,13.128,5.09,0.08024539523247892455769227482,
+2026-05-21 14:57:31,garlic_mustard_observed.csv,4.677,0.995,1.461,6.939,6.291,4.49,6.67,12.307,4.61,0.03731547547495575278611231674,
+2026-05-21 14:57:31,garlic_mustard_observed.csv,4.643,0.57,6.917,0.606,1.977,3.14,6.19,9.317,4.56,0.02526680339135991763932468215,
+2026-05-21 14:57:31,garlic_mustard_observed.csv,2.642,2.098,3.11,0.763,7.475,4.57,5.44,14.543,4.77,0.07616961325688969373933451475,
+2026-05-21 14:57:31,garlic_mustard_observed.csv,1.424,1.232,6.356,7.251,9.93,3.2,6.69,6.86,3.51,0.1131619337367436156827857941,
+2026-05-21 14:57:32,garlic_mustard_observed.csv,1.722,2.416,4.874,0.519,4.382,4.14,6.44,7.203,4.77,0.01241038150968072507785471469,
+2026-05-21 14:57:32,garlic_mustard_observed.csv,4.698,2.572,2.443,7.956,3.012,3.74,6.81,11.454,3.77,0.07168180489006952983822891945,
+2026-05-21 14:57:32,garlic_mustard_observed.csv,1.418,1.005,7.107,6.358,9.667,3.5,6.85,8.487,3.72,0.09580279597030344503175110803,
+2026-05-21 14:57:33,garlic_mustard_observed.csv,2.198,0.86,2.048,5.03,2.928,4.53,5.53,10.679,5.0,0.06929549429115170181900608086,
+2026-05-21 14:57:33,garlic_mustard_observed.csv,3.955,2.322,6.583,3.785,2.114,4.72,5.78,7.625,5.43,0.07644961221380416212698460472,
+2026-05-21 14:57:33,garlic_mustard_observed.csv,1.732,0.622,4.737,3.939,8.349,3.91,5.02,7.141,5.01,0.09540039041250459601648163796,
+2026-05-21 14:57:33,garlic_mustard_observed.csv,4.348,2.035,1.482,4.989,1.731,3.39,5.38,11.996,4.32,0.1102661802578721971144351439,
+2026-05-21 14:57:34,garlic_mustard_observed.csv,1.67,2.621,7.42,2.431,6.941,3.55,5.22,9.535,4.05,0.1230948811974866142725071573,
+2026-05-21 14:57:34,garlic_mustard_observed.csv,2.347,1.365,5.238,1.656,8.481,3.5,6.33,2.506,5.61,0.02621965453368312960827333895,
+2026-05-21 14:57:34,garlic_mustard_observed.csv,3.208,1.935,5.683,7.137,2.782,3.23,6.57,12.318,4.13,0.08764489630875968450848641547,
+2026-05-21 14:57:35,garlic_mustard_observed.csv,4.12,1.631,4.756,5.777,3.136,4.97,5.78,8.392,5.36,0.08798673927126698336061525451,
+2026-05-21 14:57:35,garlic_mustard_observed.csv,2.146,2.449,7.772,6.763,4.862,4.37,6.61,3.961,6.33,0.03769755834068726397153667322,
+2026-05-21 14:57:35,garlic_mustard_observed.csv,1.843,2.596,6.719,0.113,9.944,3.1,6.32,5.725,5.02,0.03142042428329717997253564619,
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diff --git a/modelling/data/abingdon-flowers/seasonal/garlic_mustard_simulated.csv b/modelling/data/abingdon-flowers/seasonal/garlic_mustard_simulated.csv
new file mode 100644
index 0000000..0ad5950
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/garlic_mustard_simulated.csv
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diff --git a/modelling/data/abingdon-flowers/seasonal/garlic_mustard_simulated.png b/modelling/data/abingdon-flowers/seasonal/garlic_mustard_simulated.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/garlic_mustard_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/garlic_mustard_synthesised.csv
new file mode 100644
index 0000000..63fd843
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/garlic_mustard_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-flowers/seasonal/garlic_mustard_synthesised.png b/modelling/data/abingdon-flowers/seasonal/garlic_mustard_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/goats_beard_classification.json b/modelling/data/abingdon-flowers/seasonal/goats_beard_classification.json
new file mode 100644
index 0000000..78d69b8
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/goats_beard_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Goats Beard",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "moderate_summer_seasonal_presence",
+    "timing": "summer",
+    "season_width": "moderate",
+    "window_shape": "moderate",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "strong",
+    "peak_alignment": "central",
+    "traits": [
+      "summer_peak",
+      "moderate_season",
+      "moderate_seasonal_window",
+      "strong_post_peak_decline",
+      "strong_offseason_suppression",
+      "central_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 5.005,
+    "season_end_month": 8.31,
+    "forcing_peak_month": 6.175,
+    "season_width_months": 3.305,
+    "season_midpoint_month": 6.6575,
+    "season_start_label": "May",
+    "season_end_label": "August",
+    "forcing_peak_label": "June"
+  },
+  "parameter_evidence": {
+    "GROWTH": 2.646,
+    "DECAY": 1.724,
+    "OOS_DECAY": 4.504,
+    "POST_PEAK_DECAY": 4.588,
+    "POST_PEAK_SHARPNESS": 4.34,
+    "SEASON_START": 5.005,
+    "SEASON_END": 8.31,
+    "SHARPNESS": 7.9,
+    "FORCING_PEAK": 6.175
+  },
+  "fit": {
+    "score": 0.021
+  },
+  "warnings": [],
+  "summary": "Goats Beard is classified as moderate summer seasonal presence. The fitted seasonal window runs from about May to August, with a summer peak around June. The season is moderate, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/goats_beard_consensus.json b/modelling/data/abingdon-flowers/seasonal/goats_beard_consensus.json
new file mode 100644
index 0000000..ef7d25c
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/goats_beard_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "2.646",
+  "DECAY": "1.724",
+  "OOS_DECAY": "4.504",
+  "POST_PEAK_DECAY": "4.588",
+  "POST_PEAK_SHARPNESS": "4.34",
+  "SEASON_START": "5.005",
+  "SEASON_END": "8.31",
+  "SHARPNESS": "7.9",
+  "FORCING_PEAK": "6.175",
+  "SCORE": "0.021",
+  "SPECIES": "Goats Beard"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/goats_beard_observed.csv b/modelling/data/abingdon-flowers/seasonal/goats_beard_observed.csv
new file mode 100644
index 0000000..a77a2a2
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/goats_beard_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,0
+5,11
+6,17
+7,8
+8,1
+9,0
+10,0
+11,0
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/goats_beard_parameters.csv b/modelling/data/abingdon-flowers/seasonal/goats_beard_parameters.csv
new file mode 100644
index 0000000..6664ac1
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/goats_beard_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
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+2026-05-21 14:59:16,goats_beard_observed.csv,1.643,1.583,1.161,2.703,3.506,4.67,7.73,3.958,7.47,0.04019787723584805708027372761,
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+2026-05-21 14:59:23,goats_beard_observed.csv,3.997,1.198,4.999,2.113,1.158,5.09,8.68,9.895,6.49,0.03463968526921458057849327025,
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+2026-05-21 14:59:27,goats_beard_observed.csv,4.518,1.474,1.182,5.4,8.914,5.64,7.68,13.718,5.72,0.05223604449673162725690469667,
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diff --git a/modelling/data/abingdon-flowers/seasonal/goats_beard_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/goats_beard_synthesised.csv
new file mode 100644
index 0000000..42ac0f3
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/goats_beard_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
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+11,0,1.529375017e-11,2.105504524888888e-10
+12,0,9.68819467e-16,1.3337825902049117e-14
diff --git a/modelling/data/abingdon-flowers/seasonal/goats_beard_synthesised.png b/modelling/data/abingdon-flowers/seasonal/goats_beard_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/green_alkanet_classification.json b/modelling/data/abingdon-flowers/seasonal/green_alkanet_classification.json
new file mode 100644
index 0000000..819a5bf
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/green_alkanet_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Green Alkanet",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "extended_spring_seasonal_presence",
+    "timing": "spring",
+    "season_width": "broad",
+    "window_shape": "moderate",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "strong",
+    "peak_alignment": "central",
+    "traits": [
+      "spring_peak",
+      "broad_season",
+      "moderate_seasonal_window",
+      "strong_post_peak_decline",
+      "strong_offseason_suppression",
+      "central_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 3.27,
+    "season_end_month": 8.29,
+    "forcing_peak_month": 5.25,
+    "season_width_months": 5.02,
+    "season_midpoint_month": 5.78,
+    "season_start_label": "March",
+    "season_end_label": "August",
+    "forcing_peak_label": "May"
+  },
+  "parameter_evidence": {
+    "GROWTH": 2.376,
+    "DECAY": 1.812,
+    "OOS_DECAY": 4.046,
+    "POST_PEAK_DECAY": 4.752,
+    "POST_PEAK_SHARPNESS": 6.245,
+    "SEASON_START": 3.27,
+    "SEASON_END": 8.29,
+    "SHARPNESS": 7.92,
+    "FORCING_PEAK": 5.25
+  },
+  "fit": {
+    "score": 0.025
+  },
+  "warnings": [],
+  "summary": "Green Alkanet is classified as extended spring seasonal presence. The fitted seasonal window runs from about March to August, with a spring peak around May. The season is broad, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/green_alkanet_consensus.json b/modelling/data/abingdon-flowers/seasonal/green_alkanet_consensus.json
new file mode 100644
index 0000000..568f74a
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/green_alkanet_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "2.376",
+  "DECAY": "1.812",
+  "OOS_DECAY": "4.046",
+  "POST_PEAK_DECAY": "4.752",
+  "POST_PEAK_SHARPNESS": "6.245",
+  "SEASON_START": "3.27",
+  "SEASON_END": "8.29",
+  "SHARPNESS": "7.92",
+  "FORCING_PEAK": "5.25",
+  "SCORE": "0.025",
+  "SPECIES": "Green Alkanet"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/green_alkanet_observed.csv b/modelling/data/abingdon-flowers/seasonal/green_alkanet_observed.csv
new file mode 100644
index 0000000..26f5eba
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/green_alkanet_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,9
+4,57
+5,63
+6,42
+7,9
+8,6
+9,1
+10,2
+11,3
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/green_alkanet_parameters.csv b/modelling/data/abingdon-flowers/seasonal/green_alkanet_parameters.csv
new file mode 100644
index 0000000..6e87971
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/green_alkanet_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
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+2026-05-21 15:00:13,green_alkanet_observed.csv,4.336,0.863,2.673,6.039,3.588,2.45,8.2,14.169,5.28,0.05852225728164512928681407708,
+2026-05-21 15:00:14,green_alkanet_observed.csv,3.145,2.045,6.926,3.244,9.822,3.34,7.96,12.496,3.82,0.08149342019267791985901942394,
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+2026-05-21 15:00:14,green_alkanet_observed.csv,1.076,1.712,4.716,0.285,8.317,2.17,7.12,14.056,4.15,0.1088554065973909087377532368,
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+2026-05-21 15:00:17,green_alkanet_observed.csv,4.091,1.088,4.09,0.057,5.817,2.79,7.7,7.556,4.01,0.04655817193392887266899214140,
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+2026-05-21 15:00:17,green_alkanet_observed.csv,1.046,1.866,6.145,7.155,9.821,3.57,7.66,4.501,4.9,0.04233649738019015082047402421,
+2026-05-21 15:00:18,green_alkanet_observed.csv,4.26,1.075,4.146,5.321,1.507,3.48,8.06,10.084,4.44,0.05888926231941469905710449005,
+2026-05-21 15:00:18,green_alkanet_observed.csv,1.412,0.5,6.488,6.747,1.854,2.45,7.36,5.599,4.82,0.1290161562681159614218523675,
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+2026-05-21 15:00:20,green_alkanet_observed.csv,4.263,1.628,1.921,4.655,7.948,2.51,8.25,2.045,4.53,0.09769743923206338702579727637,
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+2026-05-21 15:00:24,green_alkanet_observed.csv,1.761,1.194,4.62,0.52,8.006,3.63,7.92,9.969,5.61,0.08962947046141377287226143155,
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diff --git a/modelling/data/abingdon-flowers/seasonal/green_alkanet_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/green_alkanet_synthesised.csv
new file mode 100644
index 0000000..4223223
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/green_alkanet_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-flowers/seasonal/green_alkanet_synthesised.png b/modelling/data/abingdon-flowers/seasonal/green_alkanet_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/honeysuckle_classification.json b/modelling/data/abingdon-flowers/seasonal/honeysuckle_classification.json
new file mode 100644
index 0000000..e202920
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/honeysuckle_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Honeysuckle",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "extended_spring_seasonal_presence",
+    "timing": "spring",
+    "season_width": "broad",
+    "window_shape": "sharp",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "strong",
+    "peak_alignment": "early",
+    "traits": [
+      "spring_peak",
+      "broad_season",
+      "sharp_seasonal_window",
+      "strong_post_peak_decline",
+      "strong_offseason_suppression",
+      "early_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 4.17,
+    "season_end_month": 9.085,
+    "forcing_peak_month": 4.96,
+    "season_width_months": 4.915,
+    "season_midpoint_month": 6.6275,
+    "season_start_label": "April",
+    "season_end_label": "September",
+    "forcing_peak_label": "May"
+  },
+  "parameter_evidence": {
+    "GROWTH": 2.906,
+    "DECAY": 1.738,
+    "OOS_DECAY": 4.148,
+    "POST_PEAK_DECAY": 4.049,
+    "POST_PEAK_SHARPNESS": 4.698,
+    "SEASON_START": 4.17,
+    "SEASON_END": 9.085,
+    "SHARPNESS": 8.596,
+    "FORCING_PEAK": 4.96
+  },
+  "fit": {
+    "score": 0.056
+  },
+  "warnings": [],
+  "summary": "Honeysuckle is classified as extended spring seasonal presence. The fitted seasonal window runs from about April to September, with a spring peak around May. The season is broad, with a sharp active window, strong post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/honeysuckle_consensus.json b/modelling/data/abingdon-flowers/seasonal/honeysuckle_consensus.json
new file mode 100644
index 0000000..fd5c084
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/honeysuckle_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "2.906",
+  "DECAY": "1.738",
+  "OOS_DECAY": "4.148",
+  "POST_PEAK_DECAY": "4.049",
+  "POST_PEAK_SHARPNESS": "4.698",
+  "SEASON_START": "4.17",
+  "SEASON_END": "9.085",
+  "SHARPNESS": "8.596",
+  "FORCING_PEAK": "4.96",
+  "SCORE": "0.056",
+  "SPECIES": "Honeysuckle"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/honeysuckle_observed.csv b/modelling/data/abingdon-flowers/seasonal/honeysuckle_observed.csv
new file mode 100644
index 0000000..74f241e
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/honeysuckle_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,3
+5,7
+6,1
+7,5
+8,2
+9,1
+10,0
+11,0
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/honeysuckle_parameters.csv b/modelling/data/abingdon-flowers/seasonal/honeysuckle_parameters.csv
new file mode 100644
index 0000000..4bd3233
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/honeysuckle_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 15:01:12,honeysuckle_observed.csv,3.725,2.227,3.852,2.124,5.487,3.86,9.61,13.243,4.48,0.03225803390714594926861956858,
+2026-05-21 15:01:12,honeysuckle_observed.csv,1.534,1.696,5.791,6.891,2.611,3.47,8.26,3.944,4.81,0.1350824011308288159963385883,
+2026-05-21 15:01:12,honeysuckle_observed.csv,4.888,0.733,7.077,0.979,6.4,3.7,9.84,5.576,5.48,0.07798243854188071071400540657,
+2026-05-21 15:01:13,honeysuckle_observed.csv,2.053,1.211,2.071,5.552,9.535,3.37,9.29,12.92,6.08,0.1377362472460184339870858329,
+2026-05-21 15:01:13,honeysuckle_observed.csv,1.856,1.265,4.092,4.968,1.845,3.08,8.46,5.418,5.25,0.1002829756422858923010059041,
+2026-05-21 15:01:13,honeysuckle_observed.csv,2.044,2.915,7.707,4.561,1.151,4.13,8.35,12.53,5.56,0.06047879617439556891432532945,
+2026-05-21 15:01:14,honeysuckle_observed.csv,4.658,2.021,6.955,6.662,9.444,4.84,9.34,7.27,6.3,0.1323895533186645674642156546,
+2026-05-21 15:01:14,honeysuckle_observed.csv,3.564,2.152,3.663,3.052,3.022,4.57,8.4,13.673,5.91,0.1076530692595399192478867373,
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+2026-05-21 15:01:14,honeysuckle_observed.csv,1.859,1.842,2.339,1.088,8.546,5.0,8.85,1.223,6.16,0.09545008504030149711216411565,
+2026-05-21 15:01:15,honeysuckle_observed.csv,1.843,1.922,7.811,6.542,2.237,4.1,8.69,3.021,5.6,0.06594510133041388758694482034,
+2026-05-21 15:01:15,honeysuckle_observed.csv,2.384,0.517,7.358,3.894,1.818,4.07,8.49,8.979,6.06,0.1047823498837252226915203919,
+2026-05-21 15:01:15,honeysuckle_observed.csv,2.317,1.607,1.072,5.278,9.89,3.37,8.09,7.88,5.03,0.1114933366670719078372915123,
+2026-05-21 15:01:16,honeysuckle_observed.csv,3.924,1.397,1.518,2.705,2.474,4.96,8.52,8.629,5.27,0.1331437765304940481305793130,
+2026-05-21 15:01:16,honeysuckle_observed.csv,4.939,1.1,3.518,1.907,6.027,4.37,9.93,7.578,5.08,0.04265665770293829549524171134,
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+2026-05-21 15:01:17,honeysuckle_observed.csv,3.266,2.528,6.886,4.295,1.577,4.57,9.84,4.849,4.98,0.04106330714173374465041198627,
+2026-05-21 15:01:17,honeysuckle_observed.csv,1.565,0.718,6.242,3.546,4.054,4.95,8.47,4.056,6.31,0.1648356396468943908990105599,
+2026-05-21 15:01:17,honeysuckle_observed.csv,1.06,1.203,5.731,7.732,1.195,3.42,8.51,5.984,5.13,0.1177345159157264470656085123,
+2026-05-21 15:01:17,honeysuckle_observed.csv,2.63,2.285,7.195,3.896,6.647,4.31,8.82,6.535,5.49,0.07196095438102725773779394459,
+2026-05-21 15:01:18,honeysuckle_observed.csv,4.685,1.942,1.627,1.656,9.332,4.99,9.59,14.037,5.89,0.1326795884614378925468478151,
+2026-05-21 15:01:18,honeysuckle_observed.csv,4.101,1.571,4.331,6.625,1.107,4.75,9.25,6.333,5.27,0.04878813220761454312386406125,
+2026-05-21 15:01:18,honeysuckle_observed.csv,1.609,2.986,7.918,6.283,7.236,4.08,8.76,9.014,5.27,0.05642805000608190657317037605,
+2026-05-21 15:01:18,honeysuckle_observed.csv,3.544,0.575,5.522,7.172,2.248,3.27,9.48,1.124,5.55,0.09023046131607218810129020427,
+2026-05-21 15:01:19,honeysuckle_observed.csv,4.003,1.893,3.971,7.081,1.693,3.91,8.81,6.817,5.37,0.05674632693819153854008244476,
+2026-05-21 15:01:19,honeysuckle_observed.csv,4.658,2.407,4.223,6.78,2.332,3.21,9.42,4.897,4.98,0.1234262438017554274770328363,
+2026-05-21 15:01:19,honeysuckle_observed.csv,1.035,1.183,7.507,3.529,1.242,3.14,9.51,3.915,4.7,0.1176077497376744469396131154,
+2026-05-21 15:01:20,honeysuckle_observed.csv,2.448,2.133,5.704,3.271,4.54,3.5,8.67,4.114,4.73,0.08061359176768907881692116294,
+2026-05-21 15:01:20,honeysuckle_observed.csv,2.57,2.528,1.615,3.03,5.015,5.0,9.0,2.447,5.4,0.08492390424099090178426492219,
+2026-05-21 15:01:20,honeysuckle_observed.csv,1.779,0.509,6.481,7.919,9.139,4.42,9.87,12.403,5.03,0.07000242518436790495625162557,
+2026-05-21 15:01:21,honeysuckle_observed.csv,4.207,2.967,2.72,2.425,3.28,3.71,9.33,7.031,6.14,0.1035549711806821669340926516,
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+2026-05-21 15:01:21,honeysuckle_observed.csv,4.914,2.147,3.935,4.49,4.17,3.89,9.42,1.317,4.94,0.07632925058390475396319480347,
+2026-05-21 15:01:21,honeysuckle_observed.csv,3.583,2.091,7.229,2.352,5.014,3.96,9.44,12.716,6.48,0.08398758143872427989316095630,
+2026-05-21 15:01:22,honeysuckle_observed.csv,3.513,2.915,1.151,3.661,2.79,4.97,9.83,11.732,5.02,0.07259406148614722430546846315,
+2026-05-21 15:01:22,honeysuckle_observed.csv,1.202,0.959,1.749,3.875,3.296,4.13,9.7,2.996,5.4,0.04603677490430973656837968146,
+2026-05-21 15:01:22,honeysuckle_observed.csv,1.933,1.962,7.198,6.337,4.002,3.7,8.26,3.283,4.62,0.1050391990736447362456521418,
+2026-05-21 15:01:22,honeysuckle_observed.csv,3.709,1.81,5.129,5.594,6.2,3.05,9.27,6.44,5.53,0.1073654448549160492971579573,
+2026-05-21 15:01:23,honeysuckle_observed.csv,3.832,1.078,6.084,7.429,9.732,3.19,9.13,4.918,5.65,0.1135113580403412548743800779,
+2026-05-21 15:01:23,honeysuckle_observed.csv,3.123,0.539,6.084,7.024,3.699,3.33,9.95,9.956,5.78,0.1058448545019637735105180190,
+2026-05-21 15:01:23,honeysuckle_observed.csv,3.001,2.034,4.757,3.322,6.829,3.15,9.22,9.819,3.67,0.1581863053139412099772112074,
+2026-05-21 15:01:24,honeysuckle_observed.csv,4.927,0.617,3.239,0.665,2.954,3.51,8.81,11.33,4.11,0.08781222514452051274528147594,
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+2026-05-21 15:01:24,honeysuckle_observed.csv,2.023,2.341,2.649,1.902,2.876,4.93,9.95,12.608,6.11,0.1291653208892660369411902150,
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+2026-05-21 15:01:25,honeysuckle_observed.csv,3.521,1.107,1.768,7.576,9.377,3.3,9.06,1.867,4.2,0.1889887752085271359331545919,
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diff --git a/modelling/data/abingdon-flowers/seasonal/honeysuckle_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/honeysuckle_synthesised.csv
new file mode 100644
index 0000000..9fa9470
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/honeysuckle_synthesised.csv
@@ -0,0 +1,13 @@
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+11,0,1.0639861800000001e-09,5.74060324165199e-09
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diff --git a/modelling/data/abingdon-flowers/seasonal/honeysuckle_synthesised.png b/modelling/data/abingdon-flowers/seasonal/honeysuckle_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/horsetail_classification.json b/modelling/data/abingdon-flowers/seasonal/horsetail_classification.json
new file mode 100644
index 0000000..af78bc6
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/horsetail_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Horsetail",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "extended_summer_seasonal_presence",
+    "timing": "summer",
+    "season_width": "broad",
+    "window_shape": "moderate",
+    "post_peak_decline": "moderate",
+    "offseason_suppression": "moderate",
+    "peak_alignment": "central",
+    "traits": [
+      "summer_peak",
+      "broad_season",
+      "moderate_seasonal_window",
+      "moderate_post_peak_decline",
+      "moderate_offseason_suppression",
+      "central_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 4.235,
+    "season_end_month": 8.78,
+    "forcing_peak_month": 6.58,
+    "season_width_months": 4.545,
+    "season_midpoint_month": 6.5075,
+    "season_start_label": "April",
+    "season_end_label": "September",
+    "forcing_peak_label": "July"
+  },
+  "parameter_evidence": {
+    "GROWTH": 3.398,
+    "DECAY": 2.098,
+    "OOS_DECAY": 3.1,
+    "POST_PEAK_DECAY": 3.422,
+    "POST_PEAK_SHARPNESS": 4.312,
+    "SEASON_START": 4.235,
+    "SEASON_END": 8.78,
+    "SHARPNESS": 6.662,
+    "FORCING_PEAK": 6.58
+  },
+  "fit": {
+    "score": 0.026
+  },
+  "warnings": [],
+  "summary": "Horsetail is classified as extended summer seasonal presence. The fitted seasonal window runs from about April to September, with a summer peak around July. The season is broad, with a moderate active window, moderate post-peak decline, and moderate off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/horsetail_consensus.json b/modelling/data/abingdon-flowers/seasonal/horsetail_consensus.json
new file mode 100644
index 0000000..6c68a9c
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/horsetail_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "3.398",
+  "DECAY": "2.098",
+  "OOS_DECAY": "3.1",
+  "POST_PEAK_DECAY": "3.422",
+  "POST_PEAK_SHARPNESS": "4.312",
+  "SEASON_START": "4.235",
+  "SEASON_END": "8.78",
+  "SHARPNESS": "6.662",
+  "FORCING_PEAK": "6.58",
+  "SCORE": "0.026",
+  "SPECIES": "Horsetail"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/horsetail_observed.csv b/modelling/data/abingdon-flowers/seasonal/horsetail_observed.csv
new file mode 100644
index 0000000..6959a7a
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/horsetail_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,3
+5,27
+6,35
+7,30
+8,8
+9,5
+10,0
+11,0
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/horsetail_parameters.csv b/modelling/data/abingdon-flowers/seasonal/horsetail_parameters.csv
new file mode 100644
index 0000000..596a4eb
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/horsetail_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
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diff --git a/modelling/data/abingdon-flowers/seasonal/horsetail_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/horsetail_synthesised.csv
new file mode 100644
index 0000000..0c5184b
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/horsetail_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-flowers/seasonal/horsetail_synthesised.png b/modelling/data/abingdon-flowers/seasonal/horsetail_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/lesser_celandine_classification.json b/modelling/data/abingdon-flowers/seasonal/lesser_celandine_classification.json
new file mode 100644
index 0000000..1bfb387
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/lesser_celandine_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Lesser Celandine",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "moderate_spring_seasonal_presence",
+    "timing": "spring",
+    "season_width": "moderate",
+    "window_shape": "moderate",
+    "post_peak_decline": "moderate",
+    "offseason_suppression": "strong",
+    "peak_alignment": "central",
+    "traits": [
+      "spring_peak",
+      "moderate_season",
+      "moderate_seasonal_window",
+      "moderate_post_peak_decline",
+      "strong_offseason_suppression",
+      "central_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 2.28,
+    "season_end_month": 5.25,
+    "forcing_peak_month": 4.36,
+    "season_width_months": 2.97,
+    "season_midpoint_month": 3.765,
+    "season_start_label": "February",
+    "season_end_label": "May",
+    "forcing_peak_label": "April"
+  },
+  "parameter_evidence": {
+    "GROWTH": 3.037,
+    "DECAY": 1.486,
+    "OOS_DECAY": 4.165,
+    "POST_PEAK_DECAY": 3.419,
+    "POST_PEAK_SHARPNESS": 6.254,
+    "SEASON_START": 2.28,
+    "SEASON_END": 5.25,
+    "SHARPNESS": 7.261,
+    "FORCING_PEAK": 4.36
+  },
+  "fit": {
+    "score": 0.006
+  },
+  "warnings": [],
+  "summary": "Lesser Celandine is classified as moderate spring seasonal presence. The fitted seasonal window runs from about February to May, with a spring peak around April. The season is moderate, with a moderate active window, moderate post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/lesser_celandine_consensus.json b/modelling/data/abingdon-flowers/seasonal/lesser_celandine_consensus.json
new file mode 100644
index 0000000..18474f4
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/lesser_celandine_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "3.037",
+  "DECAY": "1.486",
+  "OOS_DECAY": "4.165",
+  "POST_PEAK_DECAY": "3.419",
+  "POST_PEAK_SHARPNESS": "6.254",
+  "SEASON_START": "2.28",
+  "SEASON_END": "5.25",
+  "SHARPNESS": "7.261",
+  "FORCING_PEAK": "4.36",
+  "SCORE": "0.006",
+  "SPECIES": "Lesser Celandine"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/lesser_celandine_observed.csv b/modelling/data/abingdon-flowers/seasonal/lesser_celandine_observed.csv
new file mode 100644
index 0000000..7a01172
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/lesser_celandine_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,3
+3,15
+4,22
+5,4
+6,0
+7,0
+8,0
+9,0
+10,0
+11,0
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/lesser_celandine_parameters.csv b/modelling/data/abingdon-flowers/seasonal/lesser_celandine_parameters.csv
new file mode 100644
index 0000000..3cf60ed
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/lesser_celandine_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 15:03:07,lesser_celandine_observed.csv,3.246,1.647,5.284,3.537,8.113,1.4,4.08,2.088,2.89,0.1618993497512956938230010808,
+2026-05-21 15:03:08,lesser_celandine_observed.csv,4.37,1.549,5.427,2.112,4.384,2.09,5.16,5.567,4.97,0.001720904294773026671974088979,
+2026-05-21 15:03:08,lesser_celandine_observed.csv,2.188,1.968,2.042,3.796,8.843,2.81,4.05,10.769,3.83,0.1008814826654771338776996057,
+2026-05-21 15:03:08,lesser_celandine_observed.csv,2.905,2.839,4.834,4.13,1.685,2.22,4.82,13.169,3.99,0.05909204100100635135121833471,
+2026-05-21 15:03:08,lesser_celandine_observed.csv,3.66,1.8,7.65,3.029,4.323,1.57,4.06,2.158,3.21,0.1506119316711378970652876179,
+2026-05-21 15:03:09,lesser_celandine_observed.csv,4.494,1.866,5.71,3.635,9.274,1.49,4.52,5.557,4.43,0.09821279035633053032488863028,
+2026-05-21 15:03:09,lesser_celandine_observed.csv,2.143,0.676,6.411,6.228,2.06,2.44,5.14,11.181,3.57,0.03501272663696928478488119597,
+2026-05-21 15:03:09,lesser_celandine_observed.csv,2.572,0.788,6.502,6.883,3.667,1.88,5.43,6.036,3.75,0.03361003206411864778191457535,
+2026-05-21 15:03:10,lesser_celandine_observed.csv,1.661,2.485,4.417,3.42,8.118,1.98,5.66,3.795,4.44,0.01547292253991182194580241522,
+2026-05-21 15:03:10,lesser_celandine_observed.csv,4.421,2.035,3.614,3.371,5.83,2.18,4.16,13.864,2.83,0.1118308679533500479805013309,
+2026-05-21 15:03:10,lesser_celandine_observed.csv,3.767,2.736,7.947,4.523,6.338,2.61,5.54,14.355,4.84,0.01685200280949349811852007943,
+2026-05-21 15:03:10,lesser_celandine_observed.csv,2.223,1.459,3.086,4.954,8.511,2.62,5.89,3.845,3.55,0.004177098473298201434017728695,
+2026-05-21 15:03:11,lesser_celandine_observed.csv,2.275,0.76,4.727,6.291,5.251,1.54,4.96,2.084,3.9,0.06028052218348918473646623470,
+2026-05-21 15:03:11,lesser_celandine_observed.csv,2.037,1.043,5.909,7.795,8.755,1.51,5.39,12.461,5.27,0.01536379874268164632553437313,
+2026-05-21 15:03:11,lesser_celandine_observed.csv,2.15,0.719,6.142,7.497,3.351,2.78,4.63,10.707,2.81,0.1076457517729659300296175098,
+2026-05-21 15:03:11,lesser_celandine_observed.csv,2.892,2.65,7.304,6.347,1.879,2.04,4.05,1.331,3.4,0.1141080748655293121053016120,
+2026-05-21 15:03:12,lesser_celandine_observed.csv,2.354,0.823,3.468,7.193,8.039,2.51,5.96,14.657,3.01,0.06420717958798015791620664951,
+2026-05-21 15:03:12,lesser_celandine_observed.csv,2.68,2.869,6.031,7.704,8.151,2.18,5.59,8.258,5.32,0.02235146947895446456196919081,
+2026-05-21 15:03:12,lesser_celandine_observed.csv,1.774,0.561,1.372,6.925,1.029,1.19,4.62,12.198,3.91,0.1334124124896251487167195804,
+2026-05-21 15:03:13,lesser_celandine_observed.csv,3.601,2.894,1.029,5.534,5.487,2.55,5.06,5.349,3.43,0.03560864054283605620470501153,
+2026-05-21 15:03:13,lesser_celandine_observed.csv,1.581,2.844,7.003,2.692,7.352,2.65,5.78,6.419,3.67,0.004985450398622109972150461791,
+2026-05-21 15:03:13,lesser_celandine_observed.csv,1.286,2.096,6.027,7.497,1.364,1.01,4.11,14.792,3.1,0.2260714895342327889048886093,
+2026-05-21 15:03:13,lesser_celandine_observed.csv,4.675,0.53,6.907,1.836,5.38,1.3,5.62,2.431,4.22,0.005764489473617474265048508495,
+2026-05-21 15:03:14,lesser_celandine_observed.csv,2.386,0.682,2.181,4.528,7.628,2.22,5.19,1.635,3.89,0.002824437244587529332777705771,
+2026-05-21 15:03:14,lesser_celandine_observed.csv,2.759,1.232,3.599,6.743,5.572,2.91,4.15,4.371,3.11,0.09454310816421074710447759827,
+2026-05-21 15:03:14,lesser_celandine_observed.csv,2.95,1.242,1.378,1.671,2.774,1.4,5.01,14.373,3.87,0.04730416879279299439367478731,
+2026-05-21 15:03:15,lesser_celandine_observed.csv,4.721,0.91,2.032,6.438,7.74,3.0,4.38,5.294,3.6,0.06004261977771768543618406954,
+2026-05-21 15:03:15,lesser_celandine_observed.csv,1.691,1.044,1.355,1.699,3.358,2.97,5.67,10.328,5.17,0.1210025729847611853450441948,
+2026-05-21 15:03:15,lesser_celandine_observed.csv,1.473,1.172,1.963,2.555,5.429,2.65,5.9,13.141,3.07,0.03411383981014613850688858900,
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diff --git a/modelling/data/abingdon-flowers/seasonal/lesser_celandine_simulated.csv b/modelling/data/abingdon-flowers/seasonal/lesser_celandine_simulated.csv
new file mode 100644
index 0000000..b9ad204
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/lesser_celandine_simulated.csv
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diff --git a/modelling/data/abingdon-flowers/seasonal/lesser_celandine_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/lesser_celandine_synthesised.csv
new file mode 100644
index 0000000..2df1bc3
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/lesser_celandine_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-flowers/seasonal/lesser_celandine_synthesised.png b/modelling/data/abingdon-flowers/seasonal/lesser_celandine_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/oxeye_daisy_classification.json b/modelling/data/abingdon-flowers/seasonal/oxeye_daisy_classification.json
new file mode 100644
index 0000000..ee3999f
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/oxeye_daisy_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Oxeye Daisy",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "extended_spring_seasonal_presence",
+    "timing": "spring",
+    "season_width": "broad",
+    "window_shape": "moderate",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "strong",
+    "peak_alignment": "early",
+    "traits": [
+      "spring_peak",
+      "broad_season",
+      "moderate_seasonal_window",
+      "strong_post_peak_decline",
+      "strong_offseason_suppression",
+      "early_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 4.47,
+    "season_end_month": 10.18,
+    "forcing_peak_month": 5.365,
+    "season_width_months": 5.71,
+    "season_midpoint_month": 7.325,
+    "season_start_label": "April",
+    "season_end_label": "October",
+    "forcing_peak_label": "May"
+  },
+  "parameter_evidence": {
+    "GROWTH": 2.634,
+    "DECAY": 2.09,
+    "OOS_DECAY": 4.01,
+    "POST_PEAK_DECAY": 3.995,
+    "POST_PEAK_SHARPNESS": 4.734,
+    "SEASON_START": 4.47,
+    "SEASON_END": 10.18,
+    "SHARPNESS": 7.21,
+    "FORCING_PEAK": 5.365
+  },
+  "fit": {
+    "score": 0.038
+  },
+  "warnings": [],
+  "summary": "Oxeye Daisy is classified as extended spring seasonal presence. The fitted seasonal window runs from about April to October, with a spring peak around May. The season is broad, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/oxeye_daisy_consensus.json b/modelling/data/abingdon-flowers/seasonal/oxeye_daisy_consensus.json
new file mode 100644
index 0000000..782f8c4
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/oxeye_daisy_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "2.634",
+  "DECAY": "2.09",
+  "OOS_DECAY": "4.01",
+  "POST_PEAK_DECAY": "3.995",
+  "POST_PEAK_SHARPNESS": "4.734",
+  "SEASON_START": "4.47",
+  "SEASON_END": "10.18",
+  "SHARPNESS": "7.21",
+  "FORCING_PEAK": "5.365",
+  "SCORE": "0.038",
+  "SPECIES": "Oxeye Daisy"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/oxeye_daisy_observed.csv b/modelling/data/abingdon-flowers/seasonal/oxeye_daisy_observed.csv
new file mode 100644
index 0000000..007f6d8
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/oxeye_daisy_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,5
+5,62
+6,58
+7,21
+8,16
+9,3
+10,7
+11,1
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/oxeye_daisy_parameters.csv b/modelling/data/abingdon-flowers/seasonal/oxeye_daisy_parameters.csv
new file mode 100644
index 0000000..09bcecf
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/oxeye_daisy_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 15:06:16,oxeye_daisy_observed.csv,3.399,1.404,7.602,6.128,6.474,3.69,9.47,9.527,5.97,0.08046579718407790060044438223,
+2026-05-21 15:06:16,oxeye_daisy_observed.csv,1.435,2.29,4.872,3.809,9.863,3.96,10.54,6.839,4.37,0.1031475170282634704182953805,
+2026-05-21 15:06:17,oxeye_daisy_observed.csv,1.904,1.385,3.254,2.902,2.848,4.35,10.51,7.026,5.9,0.02809541538010802685260416215,
+2026-05-21 15:06:17,oxeye_daisy_observed.csv,3.117,1.277,5.247,6.461,1.08,3.73,10.36,13.874,5.0,0.1094494011232395875551025198,
+2026-05-21 15:06:17,oxeye_daisy_observed.csv,4.581,2.56,6.46,2.395,9.204,4.11,9.89,1.318,6.04,0.08648086505905354336919058946,
+2026-05-21 15:06:17,oxeye_daisy_observed.csv,1.014,1.108,7.125,1.92,3.142,4.31,9.06,14.703,6.27,0.06400638303568634820440629152,
+2026-05-21 15:06:18,oxeye_daisy_observed.csv,4.282,2.636,4.932,3.095,5.614,3.38,10.45,14.848,6.37,0.08752510778780591686269591711,
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diff --git a/modelling/data/abingdon-flowers/seasonal/oxeye_daisy_simulated.csv b/modelling/data/abingdon-flowers/seasonal/oxeye_daisy_simulated.csv
new file mode 100644
index 0000000..2bbaf0a
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/oxeye_daisy_simulated.csv
@@ -0,0 +1,123 @@
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diff --git a/modelling/data/abingdon-flowers/seasonal/oxeye_daisy_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/oxeye_daisy_synthesised.csv
new file mode 100644
index 0000000..dbd19f3
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/oxeye_daisy_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-flowers/seasonal/oxeye_daisy_synthesised.png b/modelling/data/abingdon-flowers/seasonal/oxeye_daisy_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/red_campion_classification.json b/modelling/data/abingdon-flowers/seasonal/red_campion_classification.json
new file mode 100644
index 0000000..598d003
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/red_campion_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Red Campion",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "extended_spring_seasonal_presence",
+    "timing": "spring",
+    "season_width": "broad",
+    "window_shape": "sharp",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "strong",
+    "peak_alignment": "early",
+    "traits": [
+      "spring_peak",
+      "broad_season",
+      "sharp_seasonal_window",
+      "strong_post_peak_decline",
+      "strong_offseason_suppression",
+      "early_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 4.135,
+    "season_end_month": 9.95,
+    "forcing_peak_month": 5.16,
+    "season_width_months": 5.815,
+    "season_midpoint_month": 7.0425,
+    "season_start_label": "April",
+    "season_end_label": "October",
+    "forcing_peak_label": "May"
+  },
+  "parameter_evidence": {
+    "GROWTH": 2.963,
+    "DECAY": 1.796,
+    "OOS_DECAY": 4.592,
+    "POST_PEAK_DECAY": 4.028,
+    "POST_PEAK_SHARPNESS": 3.958,
+    "SEASON_START": 4.135,
+    "SEASON_END": 9.95,
+    "SHARPNESS": 9.054,
+    "FORCING_PEAK": 5.16
+  },
+  "fit": {
+    "score": 0.037
+  },
+  "warnings": [],
+  "summary": "Red Campion is classified as extended spring seasonal presence. The fitted seasonal window runs from about April to October, with a spring peak around May. The season is broad, with a sharp active window, strong post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/red_campion_consensus.json b/modelling/data/abingdon-flowers/seasonal/red_campion_consensus.json
new file mode 100644
index 0000000..782694b
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/red_campion_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "2.963",
+  "DECAY": "1.796",
+  "OOS_DECAY": "4.592",
+  "POST_PEAK_DECAY": "4.028",
+  "POST_PEAK_SHARPNESS": "3.958",
+  "SEASON_START": "4.135",
+  "SEASON_END": "9.95",
+  "SHARPNESS": "9.054",
+  "FORCING_PEAK": "5.16",
+  "SCORE": "0.037",
+  "SPECIES": "Red Campion"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/red_campion_observed.csv b/modelling/data/abingdon-flowers/seasonal/red_campion_observed.csv
new file mode 100644
index 0000000..873729b
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/red_campion_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,29
+5,65
+6,45
+7,12
+8,3
+9,4
+10,7
+11,3
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/red_campion_parameters.csv b/modelling/data/abingdon-flowers/seasonal/red_campion_parameters.csv
new file mode 100644
index 0000000..3376e5a
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/red_campion_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 15:07:13,red_campion_observed.csv,4.371,2.078,5.603,7.113,4.805,3.28,9.95,11.733,5.65,0.05615334464786834501154184776,
+2026-05-21 15:07:14,red_campion_observed.csv,4.756,1.575,4.297,5.959,1.151,4.3,10.08,9.826,5.99,0.03671582824871091528710241777,
+2026-05-21 15:07:14,red_campion_observed.csv,3.789,2.21,1.811,7.281,5.897,3.27,10.4,7.331,5.04,0.09635234565496780880604610096,
+2026-05-21 15:07:14,red_campion_observed.csv,2.301,2.049,7.077,6.777,9.402,4.49,9.09,4.188,4.78,0.06277689790481092944686698189,
+2026-05-21 15:07:15,red_campion_observed.csv,4.233,2.893,7.314,7.758,6.477,3.58,10.3,3.572,4.42,0.1229335992370550441560971743,
+2026-05-21 15:07:15,red_campion_observed.csv,3.041,2.156,1.961,1.713,1.787,3.2,9.74,2.797,3.84,0.1510437234313336569151307747,
+2026-05-21 15:07:15,red_campion_observed.csv,2.803,0.695,1.148,7.385,6.506,4.56,9.65,9.185,6.4,0.1093988777468349259740352988,
+2026-05-21 15:07:15,red_campion_observed.csv,1.299,0.786,1.392,2.211,3.143,4.11,9.38,12.036,4.86,0.02692735512639850990338864000,
+2026-05-21 15:07:16,red_campion_observed.csv,1.935,0.523,1.384,5.262,4.605,3.38,10.62,13.017,5.56,0.06574763227965196703323628410,
+2026-05-21 15:07:16,red_campion_observed.csv,1.177,0.615,6.126,6.326,1.613,4.14,10.79,4.461,6.31,0.05997723146856522044918807218,
+2026-05-21 15:07:16,red_campion_observed.csv,4.87,2.57,1.767,2.327,8.457,3.92,9.34,7.344,5.84,0.06699635116798422840511440615,
+2026-05-21 15:07:16,red_campion_observed.csv,3.576,2.696,2.016,6.496,5.469,3.18,10.68,5.673,6.34,0.07209040828901765180155627648,
+2026-05-21 15:07:17,red_campion_observed.csv,2.848,1.152,2.865,6.023,6.855,3.9,10.43,12.853,4.98,0.05677298614185511583833440246,
+2026-05-21 15:07:17,red_campion_observed.csv,1.968,2.69,4.81,4.782,7.674,4.2,9.13,14.758,5.09,0.04830431878620338780409352051,
+2026-05-21 15:07:17,red_campion_observed.csv,3.152,2.326,2.891,5.864,5.26,3.17,10.26,8.56,4.75,0.1316152833545480606053333240,
+2026-05-21 15:07:18,red_campion_observed.csv,1.395,1.783,5.888,3.455,6.294,3.46,10.29,10.065,6.06,0.08541670058850853928370930596,
+2026-05-21 15:07:18,red_campion_observed.csv,3.5,2.684,1.791,2.528,5.747,3.52,9.15,8.981,3.99,0.1265685001104834109620101256,
+2026-05-21 15:07:18,red_campion_observed.csv,3.834,2.64,3.19,5.976,5.501,3.28,9.69,11.518,3.59,0.1887936716524493861408852893,
+2026-05-21 15:07:18,red_campion_observed.csv,3.156,2.899,6.957,0.951,8.166,4.44,10.58,13.405,5.52,0.06459897844417161267414104805,
+2026-05-21 15:07:19,red_campion_observed.csv,2.021,0.995,1.163,7.024,5.414,3.36,9.73,4.746,4.16,0.1820004394694819309411788828,
+2026-05-21 15:07:19,red_campion_observed.csv,4.62,0.629,2.481,5.715,4.246,4.98,10.93,5.943,5.39,0.09460791153373719681885113157,
+2026-05-21 15:07:19,red_campion_observed.csv,1.59,1.581,6.528,2.853,6.239,4.24,10.43,5.11,5.43,0.03329496888029384346217344497,
+2026-05-21 15:07:20,red_campion_observed.csv,4.581,1.201,3.54,6.434,4.84,3.9,10.62,9.898,4.17,0.1094220100657733534302186881,
+2026-05-21 15:07:20,red_campion_observed.csv,3.143,1.846,7.715,5.408,3.847,3.27,10.9,3.751,5.19,0.05724323725528832828556838154,
+2026-05-21 15:07:20,red_campion_observed.csv,2.788,0.648,7.064,5.57,5.954,4.67,9.06,2.007,6.18,0.1187458760896568174763992122,
+2026-05-21 15:07:20,red_campion_observed.csv,1.353,1.44,4.847,7.373,4.469,4.03,10.73,12.91,4.05,0.1096176542131383113566851067,
+2026-05-21 15:07:21,red_campion_observed.csv,4.495,2.919,6.36,2.152,7.998,3.75,9.41,13.468,4.81,0.03928980996110662059376541395,
+2026-05-21 15:07:21,red_campion_observed.csv,1.814,2.249,6.665,0.626,7.142,3.16,10.02,1.018,3.86,0.1332622019070511815845386807,
+2026-05-21 15:07:21,red_campion_observed.csv,3.827,2.793,5.178,3.546,7.217,3.89,10.47,2.271,3.94,0.1058181740556049475412694499,
+2026-05-21 15:07:21,red_campion_observed.csv,2.046,2.661,2.861,7.463,2.093,4.8,10.52,7.596,5.3,0.03892525570407413859970635333,
+2026-05-21 15:07:22,red_campion_observed.csv,2.653,1.186,7.79,4.268,4.049,3.71,10.34,12.831,4.0,0.1292467406397352034956084633,
+2026-05-21 15:07:22,red_campion_observed.csv,1.588,1.99,3.531,3.53,6.301,3.27,10.83,10.077,4.12,0.1427078890094273777248053302,
+2026-05-21 15:07:22,red_campion_observed.csv,4.619,0.659,2.299,6.907,3.328,4.78,10.21,12.977,6.03,0.09782324071021400552695819147,
+2026-05-21 15:07:23,red_campion_observed.csv,3.24,1.309,5.681,2.633,7.204,4.09,9.92,8.396,4.45,0.03174310140942386836560886901,
+2026-05-21 15:07:23,red_campion_observed.csv,4.106,1.605,6.719,2.895,2.078,4.24,9.29,4.238,6.18,0.08138341491753699649643482826,
+2026-05-21 15:07:23,red_campion_observed.csv,3.154,0.81,5.802,1.055,4.376,4.09,9.59,5.268,6.38,0.1288293807129532949094456687,
+2026-05-21 15:07:23,red_campion_observed.csv,4.989,1.936,4.398,1.324,8.079,3.32,9.86,7.525,3.98,0.1208416303123619591141233328,
+2026-05-21 15:07:24,red_campion_observed.csv,4.549,0.575,4.394,2.269,1.682,3.42,10.12,2.994,4.36,0.05759068455056475740592751616,
+2026-05-21 15:07:24,red_campion_observed.csv,2.535,0.568,7.081,1.576,6.762,4.16,10.0,8.489,4.7,0.03233272479105774938686833650,
+2026-05-21 15:07:24,red_campion_observed.csv,2.662,2.454,3.578,1.525,6.151,4.7,10.44,6.096,5.39,0.08124551839235095621658206208,
+2026-05-21 15:07:25,red_campion_observed.csv,1.777,2.232,4.838,1.616,7.078,3.15,10.31,7.423,5.43,0.07779662613864311058086206434,
+2026-05-21 15:07:25,red_campion_observed.csv,2.444,2.904,5.307,7.092,2.251,4.5,9.54,14.177,5.84,0.03308377795019215769161625838,
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new file mode 100644
index 0000000..8799a6e
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diff --git a/modelling/data/abingdon-flowers/seasonal/red_campion_simulated.png b/modelling/data/abingdon-flowers/seasonal/red_campion_simulated.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/red_campion_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/red_campion_synthesised.csv
new file mode 100644
index 0000000..d33c38e
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/red_campion_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-flowers/seasonal/red_campion_synthesised.png b/modelling/data/abingdon-flowers/seasonal/red_campion_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/red_clover_classification.json b/modelling/data/abingdon-flowers/seasonal/red_clover_classification.json
new file mode 100644
index 0000000..9545efa
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/red_clover_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Red Clover",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "extended_summer_seasonal_presence",
+    "timing": "summer",
+    "season_width": "very_broad",
+    "window_shape": "moderate",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "strong",
+    "peak_alignment": "early",
+    "traits": [
+      "summer_peak",
+      "very_broad_season",
+      "moderate_seasonal_window",
+      "strong_post_peak_decline",
+      "strong_offseason_suppression",
+      "early_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 4.25,
+    "season_end_month": 11.115,
+    "forcing_peak_month": 6.355,
+    "season_width_months": 6.865,
+    "season_midpoint_month": 7.6825,
+    "season_start_label": "April",
+    "season_end_label": "November",
+    "forcing_peak_label": "June"
+  },
+  "parameter_evidence": {
+    "GROWTH": 2.858,
+    "DECAY": 1.75,
+    "OOS_DECAY": 4.057,
+    "POST_PEAK_DECAY": 4.41,
+    "POST_PEAK_SHARPNESS": 4.036,
+    "SEASON_START": 4.25,
+    "SEASON_END": 11.115,
+    "SHARPNESS": 7.09,
+    "FORCING_PEAK": 6.355
+  },
+  "fit": {
+    "score": 0.038
+  },
+  "warnings": [],
+  "summary": "Red Clover is classified as extended summer seasonal presence. The fitted seasonal window runs from about April to November, with a summer peak around June. The season is very_broad, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/red_clover_consensus.json b/modelling/data/abingdon-flowers/seasonal/red_clover_consensus.json
new file mode 100644
index 0000000..6d18fa5
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/red_clover_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "2.858",
+  "DECAY": "1.75",
+  "OOS_DECAY": "4.057",
+  "POST_PEAK_DECAY": "4.41",
+  "POST_PEAK_SHARPNESS": "4.036",
+  "SEASON_START": "4.25",
+  "SEASON_END": "11.115",
+  "SHARPNESS": "7.09",
+  "FORCING_PEAK": "6.355",
+  "SCORE": "0.038",
+  "SPECIES": "Red Clover"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/red_clover_observed.csv b/modelling/data/abingdon-flowers/seasonal/red_clover_observed.csv
new file mode 100644
index 0000000..c08a145
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/red_clover_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,2
+5,32
+6,37
+7,19
+8,15
+9,9
+10,3
+11,2
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/red_clover_parameters.csv b/modelling/data/abingdon-flowers/seasonal/red_clover_parameters.csv
new file mode 100644
index 0000000..7de2cab
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/red_clover_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
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diff --git a/modelling/data/abingdon-flowers/seasonal/red_clover_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/red_clover_synthesised.csv
new file mode 100644
index 0000000..6a119d6
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/red_clover_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-flowers/seasonal/red_clover_synthesised.png b/modelling/data/abingdon-flowers/seasonal/red_clover_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/red_dead_nettle_classification.json b/modelling/data/abingdon-flowers/seasonal/red_dead_nettle_classification.json
new file mode 100644
index 0000000..88d98fb
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/red_dead_nettle_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Red Dead Nettle",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "extended_spring_seasonal_presence",
+    "timing": "spring",
+    "season_width": "very_broad",
+    "window_shape": "moderate",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "strong",
+    "peak_alignment": "early",
+    "traits": [
+      "spring_peak",
+      "very_broad_season",
+      "moderate_seasonal_window",
+      "strong_post_peak_decline",
+      "strong_offseason_suppression",
+      "early_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 2.37,
+    "season_end_month": 9.965,
+    "forcing_peak_month": 4.215,
+    "season_width_months": 7.595,
+    "season_midpoint_month": 6.1675,
+    "season_start_label": "February",
+    "season_end_label": "October",
+    "forcing_peak_label": "April"
+  },
+  "parameter_evidence": {
+    "GROWTH": 2.583,
+    "DECAY": 1.756,
+    "OOS_DECAY": 4.49,
+    "POST_PEAK_DECAY": 3.544,
+    "POST_PEAK_SHARPNESS": 4.538,
+    "SEASON_START": 2.37,
+    "SEASON_END": 9.965,
+    "SHARPNESS": 6.668,
+    "FORCING_PEAK": 4.215
+  },
+  "fit": {
+    "score": 0.057
+  },
+  "warnings": [],
+  "summary": "Red Dead Nettle is classified as extended spring seasonal presence. The fitted seasonal window runs from about February to October, with a spring peak around April. The season is very_broad, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/red_dead_nettle_consensus.json b/modelling/data/abingdon-flowers/seasonal/red_dead_nettle_consensus.json
new file mode 100644
index 0000000..52bfd64
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/red_dead_nettle_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "2.583",
+  "DECAY": "1.756",
+  "OOS_DECAY": "4.49",
+  "POST_PEAK_DECAY": "3.544",
+  "POST_PEAK_SHARPNESS": "4.538",
+  "SEASON_START": "2.37",
+  "SEASON_END": "9.965",
+  "SHARPNESS": "6.668",
+  "FORCING_PEAK": "4.215",
+  "SCORE": "0.057",
+  "SPECIES": "Red Dead Nettle"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/red_dead_nettle_observed.csv b/modelling/data/abingdon-flowers/seasonal/red_dead_nettle_observed.csv
new file mode 100644
index 0000000..f109257
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/red_dead_nettle_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,1
+2,9
+3,48
+4,84
+5,37
+6,14
+7,13
+8,8
+9,5
+10,6
+11,4
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/red_dead_nettle_parameters.csv b/modelling/data/abingdon-flowers/seasonal/red_dead_nettle_parameters.csv
new file mode 100644
index 0000000..1841b96
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/red_dead_nettle_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 15:09:30,red_dead_nettle_observed.csv,2.738,1.38,6.338,5.218,9.815,2.02,10.84,8.09,3.87,0.07601664261037371274085058072,
+2026-05-21 15:09:30,red_dead_nettle_observed.csv,4.437,0.849,5.769,2.227,9.89,1.05,10.52,5.47,2.9,0.1742313490669575523945296939,
+2026-05-21 15:09:31,red_dead_nettle_observed.csv,1.645,2.887,1.941,1.349,1.511,2.22,9.8,5.992,5.09,0.1220949840037575775612366752,
+2026-05-21 15:09:31,red_dead_nettle_observed.csv,2.501,1.76,5.716,7.023,4.351,1.8,10.13,2.936,4.41,0.05036525612650576123121725247,
+2026-05-21 15:09:31,red_dead_nettle_observed.csv,3.561,2.825,3.05,5.8,9.269,2.39,9.25,14.995,3.01,0.1324473851268160655663064234,
+2026-05-21 15:09:31,red_dead_nettle_observed.csv,4.998,1.6,5.482,1.87,7.068,1.43,9.29,10.889,2.64,0.1811912549444735616658567339,
+2026-05-21 15:09:32,red_dead_nettle_observed.csv,1.892,1.201,4.6,4.678,9.827,2.98,10.57,2.696,3.0,0.09929621773341375053917280801,
+2026-05-21 15:09:32,red_dead_nettle_observed.csv,2.396,2.416,4.759,0.148,5.562,2.64,10.5,9.199,3.76,0.08733391751806005463248133046,
+2026-05-21 15:09:32,red_dead_nettle_observed.csv,3.421,1.385,7.535,2.919,4.334,2.01,9.23,11.631,3.38,0.1108185140403131122568809970,
+2026-05-21 15:09:33,red_dead_nettle_observed.csv,2.876,0.861,2.152,0.052,2.926,1.51,10.85,5.355,4.82,0.1711582271516862970937363001,
+2026-05-21 15:09:33,red_dead_nettle_observed.csv,1.451,2.305,2.031,2.691,7.802,2.83,10.62,6.522,4.6,0.06418968465310053373171601828,
+2026-05-21 15:09:33,red_dead_nettle_observed.csv,3.434,1.95,6.64,5.156,2.292,1.87,10.93,9.697,3.64,0.1255267682857280858921371826,
+2026-05-21 15:09:33,red_dead_nettle_observed.csv,1.41,0.826,5.842,5.603,8.077,2.23,9.81,12.767,4.34,0.06617838205661969361939297028,
+2026-05-21 15:09:34,red_dead_nettle_observed.csv,3.484,1.116,1.394,5.919,8.099,2.91,9.43,7.427,2.97,0.1429014394816931350148470027,
+2026-05-21 15:09:34,red_dead_nettle_observed.csv,1.071,2.975,1.969,4.32,3.136,1.64,10.07,1.201,3.49,0.1450344393902036361780517763,
+2026-05-21 15:09:34,red_dead_nettle_observed.csv,1.532,2.5,1.913,0.167,9.549,2.18,10.76,3.033,5.1,0.1349915558014537514558163265,
+2026-05-21 15:09:34,red_dead_nettle_observed.csv,2.348,1.161,3.529,6.569,7.866,2.13,9.04,5.835,4.06,0.06992347137055268712209947939,
+2026-05-21 15:09:35,red_dead_nettle_observed.csv,2.392,1.025,2.515,3.086,9.654,1.87,10.9,6.744,4.27,0.05181180339189296182079061520,
+2026-05-21 15:09:35,red_dead_nettle_observed.csv,2.403,1.317,6.324,1.68,3.959,2.57,10.29,2.711,5.47,0.1464977900225695809642906651,
+2026-05-21 15:09:35,red_dead_nettle_observed.csv,4.606,1.322,7.253,3.38,1.485,1.29,9.11,3.704,2.66,0.1815161871950901162097430452,
+2026-05-21 15:09:36,red_dead_nettle_observed.csv,1.554,2.726,3.415,0.98,5.444,2.68,9.35,14.124,3.36,0.05926533414641459058601088907,
+2026-05-21 15:09:36,red_dead_nettle_observed.csv,4.542,0.775,2.644,2.352,5.955,1.26,9.51,3.954,3.45,0.1358727444934594786809715771,
+2026-05-21 15:09:36,red_dead_nettle_observed.csv,4.26,1.835,1.348,2.451,8.822,2.72,9.22,10.328,5.12,0.1096438200065802105873657607,
+2026-05-21 15:09:37,red_dead_nettle_observed.csv,2.534,1.74,7.416,4.32,5.128,2.76,9.82,8.622,4.56,0.07270285477819839993724939382,
+2026-05-21 15:09:37,red_dead_nettle_observed.csv,2.564,2.904,2.014,7.071,3.051,1.28,9.16,3.682,3.73,0.1684584119538292067719689573,
+2026-05-21 15:09:37,red_dead_nettle_observed.csv,1.336,1.906,6.152,5.498,4.677,2.59,9.3,11.702,2.8,0.1275505242744801917023070288,
+2026-05-21 15:09:38,red_dead_nettle_observed.csv,3.967,0.593,4.369,1.689,3.704,1.76,9.98,12.18,5.02,0.08871282217440603056488387986,
+2026-05-21 15:09:38,red_dead_nettle_observed.csv,4.068,2.517,5.886,2.132,7.069,2.18,10.4,7.328,4.2,0.06407308289231186788912905050,
+2026-05-21 15:09:38,red_dead_nettle_observed.csv,1.587,1.215,1.403,1.066,8.897,2.37,10.17,9.718,4.19,0.04489013090491929792475097125,
+2026-05-21 15:09:39,red_dead_nettle_observed.csv,2.029,2.464,7.851,0.657,9.155,1.46,9.34,4.328,4.31,0.1293759739610640591925819478,
+2026-05-21 15:09:39,red_dead_nettle_observed.csv,3.359,2.689,5.152,6.748,3.562,2.01,10.57,12.375,5.27,0.07773462409986242863648654797,
+2026-05-21 15:09:39,red_dead_nettle_observed.csv,3.961,2.489,3.632,5.386,6.028,2.2,10.61,8.817,4.93,0.04840623002373845661823614255,
+2026-05-21 15:09:40,red_dead_nettle_observed.csv,3.296,2.771,2.88,3.069,5.046,2.55,9.22,10.41,5.46,0.1049303178094714547966205567,
+2026-05-21 15:09:40,red_dead_nettle_observed.csv,1.386,0.814,3.393,0.046,6.438,2.39,10.08,1.828,3.53,0.1429450765012210623553004534,
+2026-05-21 15:09:40,red_dead_nettle_observed.csv,2.518,1.266,6.271,3.227,8.692,1.2,9.7,13.961,3.82,0.09880612300216132657996653223,
+2026-05-21 15:09:41,red_dead_nettle_observed.csv,1.28,1.525,5.915,5.557,4.525,2.02,9.3,7.495,5.0,0.06561724997006938632104486429,
+2026-05-21 15:09:41,red_dead_nettle_observed.csv,1.037,1.381,3.587,4.215,3.138,1.78,9.02,10.618,4.44,0.05963590100927097095149915368,
+2026-05-21 15:09:41,red_dead_nettle_observed.csv,3.532,1.853,4.557,3.084,4.551,2.28,10.75,11.5,4.34,0.05429666648746957435715272700,
+2026-05-21 15:09:42,red_dead_nettle_observed.csv,1.854,0.853,3.892,5.517,3.741,1.38,9.7,11.15,3.75,0.1454856438206593373314867446,
+2026-05-21 15:09:42,red_dead_nettle_observed.csv,4.185,0.863,5.258,3.148,2.885,1.88,10.28,11.568,5.06,0.07228630349739562249174337103,
+2026-05-21 15:09:42,red_dead_nettle_observed.csv,3.665,0.957,7.943,6.888,8.869,1.86,10.44,14.05,4.74,0.08067812664374904499827994338,
+2026-05-21 15:09:43,red_dead_nettle_observed.csv,2.406,0.831,4.217,3.949,4.654,1.98,10.39,13.812,3.27,0.1210134293946120248924164921,
+2026-05-21 15:09:43,red_dead_nettle_observed.csv,1.615,1.06,6.458,1.244,6.334,2.5,9.96,4.686,3.78,0.05226552610507712658181426136,
+2026-05-21 15:09:43,red_dead_nettle_observed.csv,4.263,0.819,1.53,7.404,3.488,1.08,9.79,11.286,5.3,0.1138539444205879883728641646,
+2026-05-21 15:09:43,red_dead_nettle_observed.csv,1.147,1.512,5.671,0.363,6.363,1.69,10.67,9.863,5.48,0.1516128573938162522777086839,
+2026-05-21 15:09:44,red_dead_nettle_observed.csv,2.163,2.765,3.956,6.398,2.607,2.79,9.44,5.038,3.92,0.04726987442616527375633173801,
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diff --git a/modelling/data/abingdon-flowers/seasonal/red_dead_nettle_simulated.csv b/modelling/data/abingdon-flowers/seasonal/red_dead_nettle_simulated.csv
new file mode 100644
index 0000000..d5dc32e
--- /dev/null
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diff --git a/modelling/data/abingdon-flowers/seasonal/red_dead_nettle_simulated.png b/modelling/data/abingdon-flowers/seasonal/red_dead_nettle_simulated.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/red_dead_nettle_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/red_dead_nettle_synthesised.csv
new file mode 100644
index 0000000..5013873
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/red_dead_nettle_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-flowers/seasonal/red_dead_nettle_synthesised.png b/modelling/data/abingdon-flowers/seasonal/red_dead_nettle_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/rosebay_willowherb_classification.json b/modelling/data/abingdon-flowers/seasonal/rosebay_willowherb_classification.json
new file mode 100644
index 0000000..f0f1db5
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/rosebay_willowherb_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Rosebay Willowherb",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "moderate_summer_seasonal_presence",
+    "timing": "summer",
+    "season_width": "moderate",
+    "window_shape": "sharp",
+    "post_peak_decline": "moderate",
+    "offseason_suppression": "strong",
+    "peak_alignment": "central",
+    "traits": [
+      "summer_peak",
+      "moderate_season",
+      "sharp_seasonal_window",
+      "moderate_post_peak_decline",
+      "strong_offseason_suppression",
+      "central_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 6.075,
+    "season_end_month": 9.3,
+    "forcing_peak_month": 8.265,
+    "season_width_months": 3.225,
+    "season_midpoint_month": 7.6875,
+    "season_start_label": "June",
+    "season_end_label": "September",
+    "forcing_peak_label": "August"
+  },
+  "parameter_evidence": {
+    "GROWTH": 3.374,
+    "DECAY": 1.661,
+    "OOS_DECAY": 5.364,
+    "POST_PEAK_DECAY": 3.216,
+    "POST_PEAK_SHARPNESS": 5.862,
+    "SEASON_START": 6.075,
+    "SEASON_END": 9.3,
+    "SHARPNESS": 8.808,
+    "FORCING_PEAK": 8.265
+  },
+  "fit": {
+    "score": 0.012
+  },
+  "warnings": [],
+  "summary": "Rosebay Willowherb is classified as moderate summer seasonal presence. The fitted seasonal window runs from about June to September, with a summer peak around August. The season is moderate, with a sharp active window, moderate post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/rosebay_willowherb_consensus.json b/modelling/data/abingdon-flowers/seasonal/rosebay_willowherb_consensus.json
new file mode 100644
index 0000000..ac5bf9a
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/rosebay_willowherb_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "3.374",
+  "DECAY": "1.661",
+  "OOS_DECAY": "5.364",
+  "POST_PEAK_DECAY": "3.216",
+  "POST_PEAK_SHARPNESS": "5.862",
+  "SEASON_START": "6.075",
+  "SEASON_END": "9.3",
+  "SHARPNESS": "8.808",
+  "FORCING_PEAK": "8.265",
+  "SCORE": "0.012",
+  "SPECIES": "Rosebay Willowherb"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/rosebay_willowherb_observed.csv b/modelling/data/abingdon-flowers/seasonal/rosebay_willowherb_observed.csv
new file mode 100644
index 0000000..418afeb
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/rosebay_willowherb_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,0
+5,0
+6,12
+7,25
+8,29
+9,13
+10,0
+11,0
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/rosebay_willowherb_parameters.csv b/modelling/data/abingdon-flowers/seasonal/rosebay_willowherb_parameters.csv
new file mode 100644
index 0000000..ca10a87
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/rosebay_willowherb_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 15:11:28,rosebay_willowherb_observed.csv,2.558,0.659,4.628,0.476,1.771,5.0,9.06,8.34,8.92,0.02671443309843711051630835732,
+2026-05-21 15:11:28,rosebay_willowherb_observed.csv,4.848,1.524,2.654,0.219,6.041,5.81,8.74,13.488,6.69,0.03987878492636595981295883430,
+2026-05-21 15:11:28,rosebay_willowherb_observed.csv,3.521,1.302,1.307,0.637,4.5,5.18,9.17,7.1,8.87,0.02407149005083669950453253462,
+2026-05-21 15:11:29,rosebay_willowherb_observed.csv,2.761,1.919,6.306,4.328,8.876,5.02,8.44,5.528,7.64,0.1221074780392865898618388182,
+2026-05-21 15:11:29,rosebay_willowherb_observed.csv,4.139,2.227,6.204,4.638,9.08,5.68,8.85,1.412,7.52,0.07330357804219925306789864028,
+2026-05-21 15:11:29,rosebay_willowherb_observed.csv,3.792,1.44,6.315,3.464,2.056,5.06,8.78,3.968,8.21,0.09394788439212515083292581738,
+2026-05-21 15:11:29,rosebay_willowherb_observed.csv,4.213,1.999,5.615,7.7,8.819,5.31,9.36,2.32,6.58,0.1247547835359067844659659427,
+2026-05-21 15:11:30,rosebay_willowherb_observed.csv,2.472,1.227,3.486,3.86,9.861,6.78,9.1,13.123,7.19,0.08078290199330392274095251899,
+2026-05-21 15:11:30,rosebay_willowherb_observed.csv,1.178,2.387,7.69,6.057,2.234,5.34,8.67,4.349,7.75,0.1148018831501988854865934661,
+2026-05-21 15:11:30,rosebay_willowherb_observed.csv,1.151,1.248,2.677,6.894,7.418,5.35,8.69,6.552,7.61,0.09477216373549663636325782326,
+2026-05-21 15:11:31,rosebay_willowherb_observed.csv,2.935,1.159,4.366,2.153,9.008,6.15,9.2,9.725,6.73,0.05140433251724790395288960791,
+2026-05-21 15:11:31,rosebay_willowherb_observed.csv,4.912,1.55,3.566,4.667,3.282,6.58,9.93,10.947,8.22,0.01078743211050867563657632473,
+2026-05-21 15:11:31,rosebay_willowherb_observed.csv,1.161,1.73,6.468,6.456,9.571,6.57,8.08,9.49,7.09,0.1274535497138857278526487515,
+2026-05-21 15:11:31,rosebay_willowherb_observed.csv,4.708,1.772,7.787,4.552,7.774,6.93,9.1,7.727,7.05,0.08807687459730256604135123918,
+2026-05-21 15:11:32,rosebay_willowherb_observed.csv,3.13,2.343,2.225,1.562,6.785,6.51,9.68,2.521,6.86,0.04886999512627496085949659209,
+2026-05-21 15:11:32,rosebay_willowherb_observed.csv,3.43,1.76,4.919,5.7,7.17,6.26,8.96,2.757,7.46,0.04965133632763227990284386285,
+2026-05-21 15:11:32,rosebay_willowherb_observed.csv,4.778,1.25,5.952,0.154,2.841,5.92,8.85,13.537,7.64,0.01262696660334567937557599664,
+2026-05-21 15:11:33,rosebay_willowherb_observed.csv,4.922,2.683,1.097,1.033,7.548,5.53,8.58,5.04,6.83,0.1113979082403748429849179883,
+2026-05-21 15:11:33,rosebay_willowherb_observed.csv,1.222,0.644,7.902,3.596,8.319,5.22,9.36,10.502,9.11,0.02800114801241941994093074614,
+2026-05-21 15:11:33,rosebay_willowherb_observed.csv,2.038,2.919,3.504,1.392,8.724,6.81,9.63,1.489,7.11,0.04647582962728067721804110314,
+2026-05-21 15:11:33,rosebay_willowherb_observed.csv,1.283,1.166,2.258,4.371,8.536,5.51,8.09,14.501,7.0,0.1418718410933517746850341899,
+2026-05-21 15:11:34,rosebay_willowherb_observed.csv,4.12,2.223,3.929,0.008,9.429,5.43,8.87,13.224,6.9,0.07302446439979752844988580720,
+2026-05-21 15:11:34,rosebay_willowherb_observed.csv,4.029,2.941,2.116,0.158,9.399,5.84,9.36,1.719,8.59,0.04505270469544201149335529545,
+2026-05-21 15:11:34,rosebay_willowherb_observed.csv,2.541,2.817,6.536,5.902,4.968,6.79,9.29,9.144,8.81,0.03803894745645890265153303688,
+2026-05-21 15:11:35,rosebay_willowherb_observed.csv,4.581,0.521,5.967,0.016,1.644,6.5,8.26,11.437,7.64,0.09462752815170191439036780134,
+2026-05-21 15:11:35,rosebay_willowherb_observed.csv,4.482,1.894,7.412,7.948,1.891,6.83,8.08,8.46,7.25,0.1523278414824925938869845276,
+2026-05-21 15:11:35,rosebay_willowherb_observed.csv,2.497,2.439,1.779,6.452,9.131,5.95,8.12,6.734,7.66,0.09410114774325644557863251332,
+2026-05-21 15:11:35,rosebay_willowherb_observed.csv,1.222,1.578,2.42,5.112,6.057,6.53,8.21,12.259,7.44,0.09601418941623797461349516483,
+2026-05-21 15:11:36,rosebay_willowherb_observed.csv,2.981,1.902,1.15,0.253,8.586,5.12,8.72,8.761,7.91,0.06320714591442269237622144768,
+2026-05-21 15:11:36,rosebay_willowherb_observed.csv,2.205,2.476,7.991,6.543,5.422,6.48,8.83,7.389,7.13,0.09178984274635293496141648715,
+2026-05-21 15:11:36,rosebay_willowherb_observed.csv,3.528,1.659,6.912,2.92,9.255,5.75,9.87,13.86,9.09,0.06496204009059866370142222952,
+2026-05-21 15:11:37,rosebay_willowherb_observed.csv,1.531,1.625,2.165,4.036,3.664,5.15,9.14,1.177,7.03,0.1258671491492909528928791183,
+2026-05-21 15:11:37,rosebay_willowherb_observed.csv,2.975,2.491,1.804,0.453,3.737,6.27,8.31,12.988,7.02,0.07844390964292059272026382898,
+2026-05-21 15:11:37,rosebay_willowherb_observed.csv,2.245,1.877,7.874,2.597,1.391,5.19,9.5,2.518,8.57,0.04727984382839905714939632234,
+2026-05-21 15:11:38,rosebay_willowherb_observed.csv,1.589,2.495,3.584,3.243,1.831,6.81,8.57,7.284,6.96,0.08402634313705759521845868734,
+2026-05-21 15:11:38,rosebay_willowherb_observed.csv,3.776,2.665,1.913,1.955,7.844,5.84,9.32,2.937,8.35,0.02160682332951062932108239952,
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diff --git a/modelling/data/abingdon-flowers/seasonal/rosebay_willowherb_simulated.csv b/modelling/data/abingdon-flowers/seasonal/rosebay_willowherb_simulated.csv
new file mode 100644
index 0000000..6a95711
--- /dev/null
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diff --git a/modelling/data/abingdon-flowers/seasonal/rosebay_willowherb_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/rosebay_willowherb_synthesised.csv
new file mode 100644
index 0000000..7fabf1d
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/rosebay_willowherb_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-flowers/seasonal/rosebay_willowherb_synthesised.png b/modelling/data/abingdon-flowers/seasonal/rosebay_willowherb_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/snowdrop_classification.json b/modelling/data/abingdon-flowers/seasonal/snowdrop_classification.json
new file mode 100644
index 0000000..79cb8fe
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/snowdrop_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Snowdrop",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "narrow_winter_seasonal_presence",
+    "timing": "winter",
+    "season_width": "narrow",
+    "window_shape": "moderate",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "strong",
+    "peak_alignment": "central",
+    "traits": [
+      "winter_peak",
+      "narrow_season",
+      "moderate_seasonal_window",
+      "strong_post_peak_decline",
+      "strong_offseason_suppression",
+      "central_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 1.385,
+    "season_end_month": 3.31,
+    "forcing_peak_month": 2.45,
+    "season_width_months": 1.925,
+    "season_midpoint_month": 2.3475,
+    "season_start_label": "January",
+    "season_end_label": "March",
+    "forcing_peak_label": "February"
+  },
+  "parameter_evidence": {
+    "GROWTH": 2.344,
+    "DECAY": 1.774,
+    "OOS_DECAY": 4.75,
+    "POST_PEAK_DECAY": 4.948,
+    "POST_PEAK_SHARPNESS": 5.35,
+    "SEASON_START": 1.385,
+    "SEASON_END": 3.31,
+    "SHARPNESS": 6.531,
+    "FORCING_PEAK": 2.45
+  },
+  "fit": {
+    "score": 0.003
+  },
+  "warnings": [],
+  "summary": "Snowdrop is classified as narrow winter seasonal presence. The fitted seasonal window runs from about January to March, with a winter peak around February. The season is narrow, with a moderate active window, strong post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/snowdrop_consensus.json b/modelling/data/abingdon-flowers/seasonal/snowdrop_consensus.json
new file mode 100644
index 0000000..e75b80d
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/snowdrop_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "2.344",
+  "DECAY": "1.774",
+  "OOS_DECAY": "4.75",
+  "POST_PEAK_DECAY": "4.948",
+  "POST_PEAK_SHARPNESS": "5.35",
+  "SEASON_START": "1.385",
+  "SEASON_END": "3.31",
+  "SHARPNESS": "6.531",
+  "FORCING_PEAK": "2.45",
+  "SCORE": "0.003",
+  "SPECIES": "Snowdrop"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/snowdrop_observed.csv b/modelling/data/abingdon-flowers/seasonal/snowdrop_observed.csv
new file mode 100644
index 0000000..a35cb60
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/snowdrop_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,4
+2,30
+3,12
+4,0
+5,0
+6,0
+7,0
+8,0
+9,0
+10,0
+11,0
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/snowdrop_parameters.csv b/modelling/data/abingdon-flowers/seasonal/snowdrop_parameters.csv
new file mode 100644
index 0000000..caeeae9
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/snowdrop_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 15:12:26,snowdrop_observed.csv,3.766,2.811,3.816,3.372,2.339,1.95,3.64,6.306,2.43,0.03351153967146288159049623581,
+2026-05-21 15:12:26,snowdrop_observed.csv,1.982,2.675,4.839,6.635,2.205,1.04,2.87,11.976,2.84,0.01709988602810625481794234067,
+2026-05-21 15:12:26,snowdrop_observed.csv,3.142,1.925,3.141,1.485,7.917,1.6,2.59,10.681,2.14,0.03715430762999619409491656741,
+2026-05-21 15:12:26,snowdrop_observed.csv,4.52,0.519,7.647,4.55,4.17,1.88,3.26,4.466,3.25,0.03369392543363149611241208225,
+2026-05-21 15:12:27,snowdrop_observed.csv,3.306,2.432,4.154,7.988,7.308,1.65,2.43,11.57,1.87,0.04826135270034708016121610854,
+2026-05-21 15:12:27,snowdrop_observed.csv,2.538,1.923,4.266,5.293,3.809,1.18,3.58,10.969,3.08,0.01017221328151924698309528573,
+2026-05-21 15:12:27,snowdrop_observed.csv,2.596,2.715,1.074,2.478,4.843,1.63,3.87,12.953,1.83,0.02491570178602622376163725388,
+2026-05-21 15:12:28,snowdrop_observed.csv,2.895,1.749,7.817,6.703,1.982,1.37,3.34,3.507,2.59,0.002565855994882608603757275172,
+2026-05-21 15:12:28,snowdrop_observed.csv,1.61,1.449,1.839,1.901,7.351,1.3,3.95,3.508,2.48,0.03839142790134345886409266165,
+2026-05-21 15:12:28,snowdrop_observed.csv,1.638,2.673,7.369,7.236,9.117,1.88,2.59,9.514,2.43,0.06798111271387993851612951021,
+2026-05-21 15:12:28,snowdrop_observed.csv,4.452,2.683,3.247,0.831,8.157,1.36,2.77,5.039,2.24,0.01006909000790885796784806042,
+2026-05-21 15:12:29,snowdrop_observed.csv,2.977,1.295,1.611,2.763,7.056,1.31,3.05,12.941,1.44,0.009037691855520446079918919092,
+2026-05-21 15:12:29,snowdrop_observed.csv,1.662,2.092,4.222,3.267,9.315,1.01,2.18,3.502,1.53,0.09315413010675401334785430624,
+2026-05-21 15:12:29,snowdrop_observed.csv,2.413,2.873,1.417,4.222,7.157,1.75,2.27,7.318,2.16,0.04397547974809762963360973393,
+2026-05-21 15:12:30,snowdrop_observed.csv,2.533,2.75,4.55,6.796,4.618,1.09,3.77,5.468,1.86,0.008586321283382378261695092725,
+2026-05-21 15:12:30,snowdrop_observed.csv,2.14,2.615,5.268,1.17,8.406,1.26,3.96,11.413,1.76,0.02985842188827560486827305773,
+2026-05-21 15:12:30,snowdrop_observed.csv,4.434,0.545,1.075,5.051,8.126,1.28,3.74,2.42,2.41,0.008679957986663801173685149708,
+2026-05-21 15:12:30,snowdrop_observed.csv,3.61,1.543,2.338,5.5,7.589,1.47,3.88,2.487,1.49,0.02794367609750689713108201798,
+2026-05-21 15:12:31,snowdrop_observed.csv,3.753,0.828,7.59,5.891,8.124,1.34,2.31,6.931,2.24,0.05677335613552134955296446442,
+2026-05-21 15:12:31,snowdrop_observed.csv,3.067,1.142,2.613,3.646,4.583,1.15,2.03,8.915,1.95,0.09306500745914820483755299543,
+2026-05-21 15:12:31,snowdrop_observed.csv,1.306,2.525,6.017,6.314,3.657,1.52,3.51,4.791,2.9,0.003391164658278259616801764646,
+2026-05-21 15:12:32,snowdrop_observed.csv,1.241,1.969,2.642,5.568,7.116,1.64,3.68,11.908,1.86,0.00247673434887975156168437459,
+2026-05-21 15:12:32,snowdrop_observed.csv,2.286,2.247,7.112,3.739,2.704,1.84,3.03,7.198,2.82,0.03129075481831561858751995123,
+2026-05-21 15:12:32,snowdrop_observed.csv,3.362,1.899,5.714,3.715,4.112,1.87,3.41,11.979,2.96,0.03429138499164664185000695511,
+2026-05-21 15:12:32,snowdrop_observed.csv,4.926,1.957,1.085,1.171,9.327,1.27,2.52,7.564,2.02,0.0136443063227137090891932065,
+2026-05-21 15:12:33,snowdrop_observed.csv,2.361,2.726,7.888,0.521,1.705,1.88,3.16,14.83,2.13,0.02807278649145154739363348904,
+2026-05-21 15:12:33,snowdrop_observed.csv,4.399,1.785,7.553,2.848,6.487,1.58,3.44,14.69,1.78,0.001670052551491146215129308266,
+2026-05-21 15:12:33,snowdrop_observed.csv,2.402,1.083,4.125,6.046,1.637,1.17,2.56,7.53,2.28,0.04489276580083147075708857368,
+2026-05-21 15:12:34,snowdrop_observed.csv,4.264,1.535,7.979,7.525,9.073,1.85,3.47,1.251,2.8,0.03584734830556531914293100565,
+2026-05-21 15:12:34,snowdrop_observed.csv,4.951,2.72,3.497,1.457,8.28,1.06,2.92,3.124,2.75,0.00844466571594742267031474005,
+2026-05-21 15:12:34,snowdrop_observed.csv,1.807,2.105,2.214,2.135,7.862,1.96,2.17,4.314,2.06,0.01514264384869759462198294367,
+2026-05-21 15:12:35,snowdrop_observed.csv,2.254,1.256,1.001,4.839,7.789,1.36,2.02,1.505,1.64,0.02173043141967330253102701791,
+2026-05-21 15:12:35,snowdrop_observed.csv,1.663,0.701,7.567,0.662,6.676,1.33,3.0,5.351,1.98,0.007598321018391295309628566342,
+2026-05-21 15:12:35,snowdrop_observed.csv,1.671,1.738,1.086,0.184,6.892,1.68,3.83,14.132,1.91,0.07250133528778875934210057923,
+2026-05-21 15:12:35,snowdrop_observed.csv,4.511,1.531,7.453,7.606,3.727,1.78,2.23,5.969,1.84,0.05520863798660384850700282380,
+2026-05-21 15:12:36,snowdrop_observed.csv,3.8,2.192,5.561,0.287,7.28,1.67,2.36,10.811,1.73,0.05233682884973556812900099509,
+2026-05-21 15:12:36,snowdrop_observed.csv,2.581,1.101,3.201,7.931,5.883,1.22,2.67,5.076,1.66,0.04452241130056146802477715400,
+2026-05-21 15:12:36,snowdrop_observed.csv,2.661,0.892,7.851,4.112,6.252,1.62,2.12,12.83,2.08,0.07151078619720687640697610981,
+2026-05-21 15:12:37,snowdrop_observed.csv,3.53,2.842,5.588,0.565,2.193,1.8,2.47,9.624,2.17,0.04836148994377725965334412285,
+2026-05-21 15:12:37,snowdrop_observed.csv,4.759,2.752,4.703,6.793,8.752,1.68,2.73,4.452,2.68,0.009912624911400662024625866025,
+2026-05-21 15:12:37,snowdrop_observed.csv,1.525,0.634,6.733,4.951,5.176,1.76,3.12,6.819,2.92,0.03067274244892078112357926656,
+2026-05-21 15:12:37,snowdrop_observed.csv,3.244,2.789,3.58,0.06,3.033,1.52,2.61,9.919,2.38,0.03731277375141784856413608831,
+2026-05-21 15:12:38,snowdrop_observed.csv,4.95,1.72,5.055,0.439,4.828,1.47,3.44,6.961,1.57,0.001942197116598142790898666888,
+2026-05-21 15:12:38,snowdrop_observed.csv,1.176,2.345,7.224,5.242,5.481,1.57,3.31,2.521,2.78,0.002011257550112828457943888074,
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diff --git a/modelling/data/abingdon-flowers/seasonal/snowdrop_simulated.csv b/modelling/data/abingdon-flowers/seasonal/snowdrop_simulated.csv
new file mode 100644
index 0000000..4b159bb
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/snowdrop_simulated.csv
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diff --git a/modelling/data/abingdon-flowers/seasonal/snowdrop_simulated.png b/modelling/data/abingdon-flowers/seasonal/snowdrop_simulated.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/snowdrop_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/snowdrop_synthesised.csv
new file mode 100644
index 0000000..89e7d54
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/snowdrop_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
+1,4,0.22599852,6.7585995270569885
+2,30,0.9784333999999999,29.26054345177464
+3,12,0.40943337,12.244311072671401
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+6,0,9.205424669999999e-10,2.7529285953297717e-08
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+8,0,1.306364364e-16,3.9067484037924245e-15
+9,0,1.3177122000000002e-19,3.940684678694898e-18
+10,0,1.49431957e-21,4.468837910564194e-20
+11,0,5.5901801e-24,1.671771504522392e-22
+12,0,1.39955172e-26,4.1854298837372e-25
diff --git a/modelling/data/abingdon-flowers/seasonal/snowdrop_synthesised.png b/modelling/data/abingdon-flowers/seasonal/snowdrop_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/teasel_classification.json b/modelling/data/abingdon-flowers/seasonal/teasel_classification.json
new file mode 100644
index 0000000..a7515e1
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/teasel_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Teasel",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "extended_summer_seasonal_presence",
+    "timing": "summer",
+    "season_width": "very_broad",
+    "window_shape": "sharp",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "strong",
+    "peak_alignment": "early",
+    "traits": [
+      "summer_peak",
+      "very_broad_season",
+      "sharp_seasonal_window",
+      "strong_post_peak_decline",
+      "strong_offseason_suppression",
+      "early_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 5.46,
+    "season_end_month": 11.475,
+    "forcing_peak_month": 7.49,
+    "season_width_months": 6.015,
+    "season_midpoint_month": 8.4675,
+    "season_start_label": "May",
+    "season_end_label": "November",
+    "forcing_peak_label": "July"
+  },
+  "parameter_evidence": {
+    "GROWTH": 3.01,
+    "DECAY": 1.826,
+    "OOS_DECAY": 4.501,
+    "POST_PEAK_DECAY": 3.619,
+    "POST_PEAK_SHARPNESS": 6.697,
+    "SEASON_START": 5.46,
+    "SEASON_END": 11.475,
+    "SHARPNESS": 8.034,
+    "FORCING_PEAK": 7.49
+  },
+  "fit": {
+    "score": 0.052
+  },
+  "warnings": [],
+  "summary": "Teasel is classified as extended summer seasonal presence. The fitted seasonal window runs from about May to November, with a summer peak around July. The season is very_broad, with a sharp active window, strong post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/teasel_consensus.json b/modelling/data/abingdon-flowers/seasonal/teasel_consensus.json
new file mode 100644
index 0000000..7b6f18c
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/teasel_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "3.01",
+  "DECAY": "1.826",
+  "OOS_DECAY": "4.501",
+  "POST_PEAK_DECAY": "3.619",
+  "POST_PEAK_SHARPNESS": "6.697",
+  "SEASON_START": "5.46",
+  "SEASON_END": "11.475",
+  "SHARPNESS": "8.034",
+  "FORCING_PEAK": "7.49",
+  "SCORE": "0.052",
+  "SPECIES": "Teasel"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/teasel_observed.csv b/modelling/data/abingdon-flowers/seasonal/teasel_observed.csv
new file mode 100644
index 0000000..447abe7
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/teasel_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,0
+5,3
+6,8
+7,22
+8,18
+9,2
+10,4
+11,1
+12,2
diff --git a/modelling/data/abingdon-flowers/seasonal/teasel_parameters.csv b/modelling/data/abingdon-flowers/seasonal/teasel_parameters.csv
new file mode 100644
index 0000000..aa3fa8d
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/teasel_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 15:13:23,teasel_observed.csv,1.922,0.819,2.071,7.282,9.515,4.48,11.04,7.651,7.64,0.05683716529955895158065383387,
+2026-05-21 15:13:23,teasel_observed.csv,4.802,2.627,6.713,1.501,1.872,4.39,11.81,14.987,6.43,0.1559510252603147804735689358,
+2026-05-21 15:13:24,teasel_observed.csv,1.201,1.217,4.149,0.636,2.042,4.69,11.58,11.904,7.59,0.09020276178579889501887368510,
+2026-05-21 15:13:24,teasel_observed.csv,3.026,0.682,4.583,1.566,3.792,4.66,11.25,8.343,7.45,0.04335877775461308595028813559,
+2026-05-21 15:13:24,teasel_observed.csv,4.981,2.563,5.348,0.636,4.81,5.64,11.3,13.157,6.97,0.06112280118424939984015807339,
+2026-05-21 15:13:24,teasel_observed.csv,4.155,1.571,4.329,6.729,9.679,4.75,11.05,11.829,6.58,0.1465500238077016781594528890,
+2026-05-21 15:13:25,teasel_observed.csv,2.923,2.164,4.619,6.579,1.739,4.03,11.55,8.673,6.28,0.2477271717331430810242722938,
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+2026-05-21 15:13:26,teasel_observed.csv,4.672,0.903,2.903,2.874,5.613,5.16,11.64,11.334,7.94,0.05859523440366910496960245485,
+2026-05-21 15:13:26,teasel_observed.csv,1.568,2.273,3.883,0.149,9.749,5.33,11.4,7.342,7.43,0.09322021038731058836171994546,
+2026-05-21 15:13:26,teasel_observed.csv,1.27,0.949,3.519,5.541,3.321,4.87,11.93,5.673,7.71,0.03479635280810846461635562611,
+2026-05-21 15:13:27,teasel_observed.csv,3.992,0.69,3.326,3.684,7.889,5.34,11.48,6.018,7.56,0.04723214661351575585297169983,
+2026-05-21 15:13:27,teasel_observed.csv,2.974,2.466,7.33,0.009,5.923,4.88,11.58,2.763,7.28,0.09179759025088660404636904519,
+2026-05-21 15:13:27,teasel_observed.csv,1.675,1.752,7.865,2.286,5.061,4.02,11.71,9.462,6.9,0.1149244416061126468087186355,
+2026-05-21 15:13:28,teasel_observed.csv,2.545,0.502,2.177,4.43,6.626,5.65,11.02,3.181,6.25,0.1142562709450784590664365631,
+2026-05-21 15:13:28,teasel_observed.csv,3.189,1.942,7.651,5.427,4.585,5.32,11.51,8.474,7.81,0.03483622089963632520501608515,
+2026-05-21 15:13:28,teasel_observed.csv,1.873,1.939,7.78,4.285,8.483,5.9,11.69,10.84,8.27,0.09031499667484261661777082994,
+2026-05-21 15:13:28,teasel_observed.csv,1.94,2.77,4.205,7.388,7.887,5.4,11.28,13.676,5.55,0.1797958627271196750608589482,
+2026-05-21 15:13:29,teasel_observed.csv,3.755,2.413,4.129,2.677,2.776,4.67,11.19,14.691,8.33,0.09591222988659757997428159263,
+2026-05-21 15:13:29,teasel_observed.csv,3.921,1.665,3.779,2.053,2.338,4.84,11.27,12.96,6.82,0.09541328459883662499886793712,
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+2026-05-21 15:13:30,teasel_observed.csv,4.744,2.057,6.765,3.639,2.132,5.56,11.09,12.923,6.44,0.1085499817884214710849742831,
+2026-05-21 15:13:30,teasel_observed.csv,3.144,0.746,5.162,7.6,1.877,5.58,11.88,5.824,6.19,0.1305857765898097101814007777,
+2026-05-21 15:13:30,teasel_observed.csv,3.796,1.372,7.635,4.953,7.081,5.41,11.33,4.506,5.7,0.1460920940120322336799422854,
+2026-05-21 15:13:30,teasel_observed.csv,2.162,1.374,7.331,1.198,6.367,4.91,11.14,4.003,7.44,0.06955218304140953350863224774,
+2026-05-21 15:13:31,teasel_observed.csv,4.576,0.575,7.276,4.776,9.055,4.15,11.7,9.623,6.09,0.2289100286146371363055757287,
+2026-05-21 15:13:31,teasel_observed.csv,2.833,2.077,2.572,1.689,4.142,5.08,11.8,6.075,6.18,0.1195137010186586368843258545,
+2026-05-21 15:13:31,teasel_observed.csv,4.416,2.283,7.381,6.164,4.086,4.5,11.23,5.741,7.94,0.09095894279946355288814845380,
+2026-05-21 15:13:32,teasel_observed.csv,1.768,0.706,4.472,4.765,4.086,5.89,11.41,8.746,7.05,0.08110228520869191450813369019,
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+2026-05-21 15:13:32,teasel_observed.csv,2.182,2.225,4.758,0.558,2.51,5.6,11.56,2.791,6.85,0.05565501649300503541152198572,
+2026-05-21 15:13:32,teasel_observed.csv,3.307,1.084,3.813,3.042,2.593,5.28,11.23,5.956,6.67,0.07940999130369393558886535430,
+2026-05-21 15:13:33,teasel_observed.csv,4.962,1.534,2.653,6.708,1.33,5.08,11.12,1.645,8.02,0.06086153005382847228562572039,
+2026-05-21 15:13:33,teasel_observed.csv,3.468,1.034,5.784,0.458,4.92,4.98,11.67,9.357,8.18,0.1319371093386849913508174716,
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+2026-05-21 15:13:34,teasel_observed.csv,4.352,1.308,4.444,0.309,4.699,5.36,11.48,1.835,7.61,0.1012566830628332153650911488,
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+2026-05-21 15:13:34,teasel_observed.csv,3.774,1.056,2.387,5.361,5.57,5.91,11.76,14.691,6.98,0.08765943555065496424539000551,
+2026-05-21 15:13:34,teasel_observed.csv,1.32,0.653,4.419,0.765,4.753,4.92,11.09,8.464,6.89,0.05125324075012273512806987341,
+2026-05-21 15:13:35,teasel_observed.csv,2.123,1.469,2.137,3.356,7.987,5.64,11.68,5.699,6.57,0.07600080041548578300920867757,
+2026-05-21 15:13:35,teasel_observed.csv,2.742,2.029,4.981,1.314,7.951,4.1,11.28,11.107,7.07,0.1116099200082792096787308024,
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diff --git a/modelling/data/abingdon-flowers/seasonal/teasel_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/teasel_synthesised.csv
new file mode 100644
index 0000000..06d32fd
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/teasel_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-flowers/seasonal/teasel_synthesised.png b/modelling/data/abingdon-flowers/seasonal/teasel_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/white_campion_classification.json b/modelling/data/abingdon-flowers/seasonal/white_campion_classification.json
new file mode 100644
index 0000000..b8451a7
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/white_campion_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "White Campion",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "extended_summer_seasonal_presence",
+    "timing": "summer",
+    "season_width": "very_broad",
+    "window_shape": "moderate",
+    "post_peak_decline": "moderate",
+    "offseason_suppression": "strong",
+    "peak_alignment": "early",
+    "traits": [
+      "summer_peak",
+      "very_broad_season",
+      "moderate_seasonal_window",
+      "moderate_post_peak_decline",
+      "strong_offseason_suppression",
+      "early_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 4.92,
+    "season_end_month": 11.245,
+    "forcing_peak_month": 6.045,
+    "season_width_months": 6.325,
+    "season_midpoint_month": 8.0825,
+    "season_start_label": "May",
+    "season_end_label": "November",
+    "forcing_peak_label": "June"
+  },
+  "parameter_evidence": {
+    "GROWTH": 3.001,
+    "DECAY": 2.034,
+    "OOS_DECAY": 4.258,
+    "POST_PEAK_DECAY": 2.744,
+    "POST_PEAK_SHARPNESS": 5.558,
+    "SEASON_START": 4.92,
+    "SEASON_END": 11.245,
+    "SHARPNESS": 6.904,
+    "FORCING_PEAK": 6.045
+  },
+  "fit": {
+    "score": 0.063
+  },
+  "warnings": [],
+  "summary": "White Campion is classified as extended summer seasonal presence. The fitted seasonal window runs from about May to November, with a summer peak around June. The season is very_broad, with a moderate active window, moderate post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/white_campion_consensus.json b/modelling/data/abingdon-flowers/seasonal/white_campion_consensus.json
new file mode 100644
index 0000000..fd1ccde
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/white_campion_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "3.001",
+  "DECAY": "2.034",
+  "OOS_DECAY": "4.258",
+  "POST_PEAK_DECAY": "2.744",
+  "POST_PEAK_SHARPNESS": "5.558",
+  "SEASON_START": "4.92",
+  "SEASON_END": "11.245",
+  "SHARPNESS": "6.904",
+  "FORCING_PEAK": "6.045",
+  "SCORE": "0.063",
+  "SPECIES": "White Campion"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/white_campion_observed.csv b/modelling/data/abingdon-flowers/seasonal/white_campion_observed.csv
new file mode 100644
index 0000000..575f2a5
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/white_campion_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,1
+5,48
+6,53
+7,27
+8,16
+9,10
+10,23
+11,4
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/white_campion_parameters.csv b/modelling/data/abingdon-flowers/seasonal/white_campion_parameters.csv
new file mode 100644
index 0000000..ff2814d
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/white_campion_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 15:14:21,white_campion_observed.csv,1.557,2.88,4.6,1.092,1.954,4.0,10.67,13.554,6.6,0.09205035088051654890348405205,
+2026-05-21 15:14:21,white_campion_observed.csv,2.056,0.907,1.267,6.239,5.161,5.08,11.85,8.236,7.31,0.1160309414191879487259233792,
+2026-05-21 15:14:21,white_campion_observed.csv,2.434,0.825,2.138,4.433,4.976,5.34,10.55,7.016,6.72,0.1156186682609020017568344024,
+2026-05-21 15:14:21,white_campion_observed.csv,2.307,0.923,7.396,4.993,4.444,4.32,10.81,13.064,7.22,0.1089517115395537601973457311,
+2026-05-21 15:14:22,white_campion_observed.csv,1.116,1.303,6.967,7.518,5.459,5.24,10.53,12.993,5.32,0.09862299896676412702967663062,
+2026-05-21 15:14:22,white_campion_observed.csv,2.684,2.673,7.535,3.609,4.545,5.63,11.49,12.18,6.1,0.08500805933194707677979022690,
+2026-05-21 15:14:22,white_campion_observed.csv,4.95,2.052,7.411,5.572,9.634,5.46,11.6,7.66,6.6,0.08833400486090867166598390000,
+2026-05-21 15:14:23,white_campion_observed.csv,3.738,1.087,7.054,3.907,3.456,6.0,10.95,2.465,7.3,0.1963501256847429401572606039,
+2026-05-21 15:14:23,white_campion_observed.csv,2.02,1.987,1.966,7.12,4.155,5.55,11.87,4.758,7.37,0.1078056980598718821381456562,
+2026-05-21 15:14:23,white_campion_observed.csv,3.903,0.727,6.219,6.389,3.607,5.68,11.52,3.358,6.37,0.09605812241809395052969705946,
+2026-05-21 15:14:23,white_campion_observed.csv,2.523,2.724,3.504,6.219,1.145,5.65,10.64,9.758,6.66,0.08985494554639221060981550171,
+2026-05-21 15:14:24,white_campion_observed.csv,2.03,1.293,1.174,2.842,2.401,5.92,11.23,10.755,7.37,0.1656774511372599797401410048,
+2026-05-21 15:14:24,white_campion_observed.csv,1.834,1.857,4.052,1.964,2.744,5.56,10.7,8.706,7.28,0.1454370909433023983618861296,
+2026-05-21 15:14:24,white_campion_observed.csv,1.485,2.946,7.046,1.884,5.411,5.92,10.93,9.681,7.46,0.1942587546339424553880342801,
+2026-05-21 15:14:25,white_campion_observed.csv,1.525,1.21,7.304,3.345,3.551,5.25,10.76,8.277,7.17,0.1208315421261484029561612132,
+2026-05-21 15:14:25,white_campion_observed.csv,3.1,1.75,5.097,6.308,4.896,5.08,10.54,7.855,5.76,0.07969285376841210040353236618,
+2026-05-21 15:14:25,white_campion_observed.csv,2.781,1.283,3.088,0.873,9.093,5.29,10.43,2.831,6.02,0.1115527042367620081536602998,
+2026-05-21 15:14:25,white_campion_observed.csv,4.627,2.447,6.687,1.891,6.032,4.03,11.75,14.982,4.58,0.1452872573502433795886545803,
+2026-05-21 15:14:26,white_campion_observed.csv,4.142,0.634,5.399,5.31,2.792,4.64,10.34,12.464,5.19,0.1245571183511552694048894610,
+2026-05-21 15:14:26,white_campion_observed.csv,2.783,2.258,2.87,1.162,5.24,5.43,11.71,13.726,6.37,0.06538423574065330691885668159,
+2026-05-21 15:14:26,white_campion_observed.csv,1.29,0.97,1.411,4.253,9.283,4.38,11.48,13.972,7.3,0.1157932036430378237897781813,
+2026-05-21 15:14:27,white_campion_observed.csv,2.811,2.507,7.574,0.65,6.985,5.4,11.2,1.774,7.24,0.1459266516711910533567454303,
+2026-05-21 15:14:27,white_campion_observed.csv,3.35,2.511,2.342,5.412,5.875,5.05,10.47,6.974,5.72,0.07108352011613196729818612180,
+2026-05-21 15:14:27,white_campion_observed.csv,3.944,0.706,1.703,7.688,9.418,4.82,10.26,1.038,6.51,0.1102131307360038770156088236,
+2026-05-21 15:14:27,white_campion_observed.csv,4.053,2.113,5.673,4.478,2.696,5.65,10.6,4.146,7.5,0.1496924325989657102239390942,
+2026-05-21 15:14:28,white_campion_observed.csv,1.948,0.89,6.796,6.314,8.814,4.88,10.91,10.763,5.13,0.1223761103739236545469758598,
+2026-05-21 15:14:28,white_campion_observed.csv,3.35,2.17,1.603,0.741,6.08,4.61,10.23,6.558,5.89,0.06677620199493541305748233024,
+2026-05-21 15:14:28,white_campion_observed.csv,3.685,1.237,2.344,1.402,1.68,5.52,10.71,5.513,7.36,0.1618812812587496864374397765,
+2026-05-21 15:14:29,white_campion_observed.csv,2.448,0.776,7.382,6.704,8.391,4.06,10.54,11.419,7.27,0.1367876743473156767631445539,
+2026-05-21 15:14:29,white_campion_observed.csv,4.345,1.948,7.035,7.74,2.006,5.73,10.1,11.614,5.83,0.1137655772104762691156843663,
+2026-05-21 15:14:29,white_campion_observed.csv,4.013,0.588,6.697,7.199,4.449,4.23,10.75,9.371,4.83,0.1943651646791004012632671479,
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+2026-05-21 15:14:30,white_campion_observed.csv,2.457,2.671,6.809,4.202,6.711,4.02,11.5,9.538,7.34,0.08708911900260412368178550264,
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+2026-05-21 15:14:30,white_campion_observed.csv,3.977,2.167,1.506,4.87,7.349,4.22,11.9,10.024,5.45,0.1217645312653940703246735788,
+2026-05-21 15:14:31,white_campion_observed.csv,1.151,0.69,2.075,5.078,7.835,5.11,10.96,12.599,6.69,0.1070869197994348494772504586,
+2026-05-21 15:14:31,white_campion_observed.csv,2.07,2.879,6.862,7.355,4.252,4.17,10.85,13.286,5.0,0.1611328081039423431271732457,
+2026-05-21 15:14:31,white_campion_observed.csv,4.455,0.673,2.36,5.196,7.271,5.65,11.84,2.937,5.65,0.07647907664332565527947172310,
+2026-05-21 15:14:32,white_campion_observed.csv,2.678,0.938,1.947,0.415,4.428,4.81,11.67,1.019,5.98,0.1413702461227862761053510624,
+2026-05-21 15:14:32,white_campion_observed.csv,3.879,1.971,7.994,0.468,1.406,4.26,11.64,10.67,6.96,0.1110613869015102342693537246,
+2026-05-21 15:14:32,white_campion_observed.csv,4.671,1.142,1.498,1.311,3.47,5.93,11.47,12.163,6.68,0.1624559149867300592408810800,
+2026-05-21 15:14:33,white_campion_observed.csv,4.626,1.297,1.753,3.632,6.418,5.89,11.54,2.587,6.32,0.1176524958363883483326704934,
+2026-05-21 15:14:33,white_campion_observed.csv,4.843,1.515,1.605,5.399,2.807,5.22,11.77,7.873,7.44,0.09071130328828977865446203384,
+2026-05-21 15:14:33,white_campion_observed.csv,2.134,2.731,1.304,2.431,6.57,5.34,11.38,9.778,5.39,0.05794405145672352528054145086,
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diff --git a/modelling/data/abingdon-flowers/seasonal/white_campion_simulated.csv b/modelling/data/abingdon-flowers/seasonal/white_campion_simulated.csv
new file mode 100644
index 0000000..00bc13d
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diff --git a/modelling/data/abingdon-flowers/seasonal/white_campion_simulated.png b/modelling/data/abingdon-flowers/seasonal/white_campion_simulated.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/white_campion_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/white_campion_synthesised.csv
new file mode 100644
index 0000000..a3a3cad
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/white_campion_synthesised.csv
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diff --git a/modelling/data/abingdon-flowers/seasonal/white_campion_synthesised.png b/modelling/data/abingdon-flowers/seasonal/white_campion_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/white_clover_classification.json b/modelling/data/abingdon-flowers/seasonal/white_clover_classification.json
new file mode 100644
index 0000000..670dd15
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/white_clover_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "White Clover",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "moderate_summer_seasonal_presence",
+    "timing": "summer",
+    "season_width": "moderate",
+    "window_shape": "moderate",
+    "post_peak_decline": "moderate",
+    "offseason_suppression": "moderate",
+    "peak_alignment": "central",
+    "traits": [
+      "summer_peak",
+      "moderate_season",
+      "moderate_seasonal_window",
+      "moderate_post_peak_decline",
+      "moderate_offseason_suppression",
+      "central_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 5.375,
+    "season_end_month": 8.3,
+    "forcing_peak_month": 6.305,
+    "season_width_months": 2.925,
+    "season_midpoint_month": 6.8375,
+    "season_start_label": "May",
+    "season_end_label": "August",
+    "forcing_peak_label": "June"
+  },
+  "parameter_evidence": {
+    "GROWTH": 2.972,
+    "DECAY": 2.121,
+    "OOS_DECAY": 3.774,
+    "POST_PEAK_DECAY": 2.872,
+    "POST_PEAK_SHARPNESS": 5.338,
+    "SEASON_START": 5.375,
+    "SEASON_END": 8.3,
+    "SHARPNESS": 6.984,
+    "FORCING_PEAK": 6.305
+  },
+  "fit": {
+    "score": 0.009
+  },
+  "warnings": [],
+  "summary": "White Clover is classified as moderate summer seasonal presence. The fitted seasonal window runs from about May to August, with a summer peak around June. The season is moderate, with a moderate active window, moderate post-peak decline, and moderate off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/white_clover_consensus.json b/modelling/data/abingdon-flowers/seasonal/white_clover_consensus.json
new file mode 100644
index 0000000..049d569
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/white_clover_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "2.972",
+  "DECAY": "2.121",
+  "OOS_DECAY": "3.774",
+  "POST_PEAK_DECAY": "2.872",
+  "POST_PEAK_SHARPNESS": "5.338",
+  "SEASON_START": "5.375",
+  "SEASON_END": "8.3",
+  "SHARPNESS": "6.984",
+  "FORCING_PEAK": "6.305",
+  "SCORE": "0.009",
+  "SPECIES": "White Clover"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/white_clover_observed.csv b/modelling/data/abingdon-flowers/seasonal/white_clover_observed.csv
new file mode 100644
index 0000000..e447439
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/white_clover_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,0
+5,13
+6,42
+7,29
+8,11
+9,1
+10,0
+11,2
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/white_clover_parameters.csv b/modelling/data/abingdon-flowers/seasonal/white_clover_parameters.csv
new file mode 100644
index 0000000..668d1c8
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/white_clover_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
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diff --git a/modelling/data/abingdon-flowers/seasonal/white_clover_simulated.csv b/modelling/data/abingdon-flowers/seasonal/white_clover_simulated.csv
new file mode 100644
index 0000000..942f02c
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/white_clover_simulated.csv
@@ -0,0 +1,123 @@
+method,step,t,y,step_size,difference,tolerance,y_normalised
+RungeKutta4,0,0.0,0,0.1,0,0.01,0E+5
+RungeKutta4,1,0.1,6.99293E-16,0.1,0,0.01,5.52678E-16
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diff --git a/modelling/data/abingdon-flowers/seasonal/white_clover_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/white_clover_synthesised.csv
new file mode 100644
index 0000000..1cfd6af
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/white_clover_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
+1,0,1.763572963e-13,6.286214187971308e-12
+2,0,5.017349439999999e-10,1.7884223617312224e-08
+3,0,9.39067226e-07,3.347282955335293e-05
+4,0,0.00137830192,0.04912924651596678
+5,13,0.29935565999999997,10.670461821666716
+6,42,1.1429957,40.74181186077866
+7,29,0.9026590000000001,32.17506693370641
+8,11,0.21214977,7.562028462265838
+9,1,0.00130193358,0.04640711506752827
+10,0,9.817979769999998e-07,3.499595708385175e-05
+11,2,4.6327611099999996e-10,1.6513367595306976e-08
+12,0,1.259250311e-13,4.488568002170876e-12
diff --git a/modelling/data/abingdon-flowers/seasonal/white_clover_synthesised.png b/modelling/data/abingdon-flowers/seasonal/white_clover_synthesised.png
new file mode 100644
index 0000000000000000000000000000000000000000..4ac38051a87f966b1a9f6d6e9b8140e80b9e2c22
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diff --git a/modelling/data/abingdon-flowers/seasonal/winter_aconite_classification.json b/modelling/data/abingdon-flowers/seasonal/winter_aconite_classification.json
new file mode 100644
index 0000000..c902b74
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/winter_aconite_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Winter Aconite",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "narrow_winter_seasonal_presence",
+    "timing": "winter",
+    "season_width": "narrow",
+    "window_shape": "sharp",
+    "post_peak_decline": "moderate",
+    "offseason_suppression": "strong",
+    "peak_alignment": "central",
+    "traits": [
+      "winter_peak",
+      "narrow_season",
+      "sharp_seasonal_window",
+      "moderate_post_peak_decline",
+      "strong_offseason_suppression",
+      "central_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 1.505,
+    "season_end_month": 2.945,
+    "forcing_peak_month": 2.355,
+    "season_width_months": 1.44,
+    "season_midpoint_month": 2.225,
+    "season_start_label": "February",
+    "season_end_label": "March",
+    "forcing_peak_label": "February"
+  },
+  "parameter_evidence": {
+    "GROWTH": 2.785,
+    "DECAY": 2.006,
+    "OOS_DECAY": 4.09,
+    "POST_PEAK_DECAY": 3.49,
+    "POST_PEAK_SHARPNESS": 4.415,
+    "SEASON_START": 1.505,
+    "SEASON_END": 2.945,
+    "SHARPNESS": 8.593,
+    "FORCING_PEAK": 2.355
+  },
+  "fit": {
+    "score": 0.004
+  },
+  "warnings": [],
+  "summary": "Winter Aconite is classified as narrow winter seasonal presence. The fitted seasonal window runs from about February to March, with a winter peak around February. The season is narrow, with a sharp active window, moderate post-peak decline, and strong off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/winter_aconite_consensus.json b/modelling/data/abingdon-flowers/seasonal/winter_aconite_consensus.json
new file mode 100644
index 0000000..b183ddb
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/winter_aconite_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "2.785",
+  "DECAY": "2.006",
+  "OOS_DECAY": "4.09",
+  "POST_PEAK_DECAY": "3.49",
+  "POST_PEAK_SHARPNESS": "4.415",
+  "SEASON_START": "1.505",
+  "SEASON_END": "2.945",
+  "SHARPNESS": "8.593",
+  "FORCING_PEAK": "2.355",
+  "SCORE": "0.004",
+  "SPECIES": "Winter Aconite"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/winter_aconite_observed.csv b/modelling/data/abingdon-flowers/seasonal/winter_aconite_observed.csv
new file mode 100644
index 0000000..7797a88
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/winter_aconite_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,1
+2,19
+3,4
+4,0
+5,0
+6,0
+7,0
+8,0
+9,0
+10,0
+11,0
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/winter_aconite_parameters.csv b/modelling/data/abingdon-flowers/seasonal/winter_aconite_parameters.csv
new file mode 100644
index 0000000..c08eb0f
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/winter_aconite_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
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diff --git a/modelling/data/abingdon-flowers/seasonal/winter_aconite_simulated.csv b/modelling/data/abingdon-flowers/seasonal/winter_aconite_simulated.csv
new file mode 100644
index 0000000..da0bdc8
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/winter_aconite_simulated.csv
@@ -0,0 +1,123 @@
+method,step,t,y,step_size,difference,tolerance,y_normalised
+RungeKutta4,0,0.0,0,0.1,0,0.01,0E+5
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diff --git a/modelling/data/abingdon-flowers/seasonal/winter_aconite_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/winter_aconite_synthesised.csv
new file mode 100644
index 0000000..5892fa0
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/winter_aconite_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
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+2,19,0.9933415,18.666777066649303
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+4,0,8.63961e-05,0.001623547126670878
+5,0,1.1747342280000001e-08,2.2075491607506963e-07
+6,0,1.4715690010000002e-12,2.7653581854637938e-11
+7,0,1.619459336e-16,3.043272267756447e-15
+8,0,1.4651755149999997e-20,2.7533436086198027e-19
+9,0,1.265477737e-24,2.3780734822200483e-23
+10,0,2.71127056e-28,5.094993324137712e-27
+11,0,1.097887087e-31,2.0631387591661086e-30
+12,0,3.8048371600000004e-35,7.150013066062686e-34
diff --git a/modelling/data/abingdon-flowers/seasonal/winter_aconite_synthesised.png b/modelling/data/abingdon-flowers/seasonal/winter_aconite_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/seasonal/yellow_flag_iris_classification.json b/modelling/data/abingdon-flowers/seasonal/yellow_flag_iris_classification.json
new file mode 100644
index 0000000..7cd77e6
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/yellow_flag_iris_classification.json
@@ -0,0 +1,49 @@
+{
+  "schema_version": "seasonal-classification/v1",
+  "species": "Yellow Flag Iris",
+  "model_family": "seasonal_presence",
+  "classification": {
+    "primary_class": "narrow_spring_seasonal_presence",
+    "timing": "spring",
+    "season_width": "narrow",
+    "window_shape": "moderate",
+    "post_peak_decline": "strong",
+    "offseason_suppression": "moderate",
+    "peak_alignment": "central",
+    "traits": [
+      "spring_peak",
+      "narrow_season",
+      "moderate_seasonal_window",
+      "strong_post_peak_decline",
+      "moderate_offseason_suppression",
+      "central_peak_alignment"
+    ],
+    "confidence": "high"
+  },
+  "derived_metrics": {
+    "season_start_month": 5.115,
+    "season_end_month": 5.885,
+    "forcing_peak_month": 5.45,
+    "season_width_months": 0.77,
+    "season_midpoint_month": 5.5,
+    "season_start_label": "May",
+    "season_end_label": "June",
+    "forcing_peak_label": "May"
+  },
+  "parameter_evidence": {
+    "GROWTH": 2.878,
+    "DECAY": 1.44,
+    "OOS_DECAY": 3.418,
+    "POST_PEAK_DECAY": 3.907,
+    "POST_PEAK_SHARPNESS": 4.342,
+    "SEASON_START": 5.115,
+    "SEASON_END": 5.885,
+    "SHARPNESS": 7.479,
+    "FORCING_PEAK": 5.45
+  },
+  "fit": {
+    "score": 0.018
+  },
+  "warnings": [],
+  "summary": "Yellow Flag Iris is classified as narrow spring seasonal presence. The fitted seasonal window runs from about May to June, with a spring peak around May. The season is narrow, with a moderate active window, strong post-peak decline, and moderate off-season suppression."
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/yellow_flag_iris_consensus.json b/modelling/data/abingdon-flowers/seasonal/yellow_flag_iris_consensus.json
new file mode 100644
index 0000000..b71ae7d
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/yellow_flag_iris_consensus.json
@@ -0,0 +1,13 @@
+{
+  "GROWTH": "2.878",
+  "DECAY": "1.44",
+  "OOS_DECAY": "3.418",
+  "POST_PEAK_DECAY": "3.907",
+  "POST_PEAK_SHARPNESS": "4.342",
+  "SEASON_START": "5.115",
+  "SEASON_END": "5.885",
+  "SHARPNESS": "7.479",
+  "FORCING_PEAK": "5.45",
+  "SCORE": "0.018",
+  "SPECIES": "Yellow Flag Iris"
+}
diff --git a/modelling/data/abingdon-flowers/seasonal/yellow_flag_iris_observed.csv b/modelling/data/abingdon-flowers/seasonal/yellow_flag_iris_observed.csv
new file mode 100644
index 0000000..28d2ca2
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/yellow_flag_iris_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,0
+2,0
+3,0
+4,0
+5,17
+6,6
+7,0
+8,0
+9,0
+10,0
+11,0
+12,0
diff --git a/modelling/data/abingdon-flowers/seasonal/yellow_flag_iris_parameters.csv b/modelling/data/abingdon-flowers/seasonal/yellow_flag_iris_parameters.csv
new file mode 100644
index 0000000..1933fc8
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/yellow_flag_iris_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,GROWTH,DECAY,OOS_DECAY,POST_PEAK_DECAY,POST_PEAK_SHARPNESS,SEASON_START,SEASON_END,SHARPNESS,FORCING_PEAK,SCORE,WRAPS_YEAR
+2026-05-21 15:17:14,yellow_flag_iris_observed.csv,2.607,2.313,4.518,4.611,1.09,5.02,5.58,4.833,5.04,0.03465153883186500584020155091,
+2026-05-21 15:17:14,yellow_flag_iris_observed.csv,3.398,1.269,1.657,7.069,2.782,4.64,6.07,14.973,5.06,0.02576648323715926218181021698,
+2026-05-21 15:17:15,yellow_flag_iris_observed.csv,3.322,0.922,5.717,0.811,8.587,4.74,6.43,13.503,4.97,0.01075099048616156476374811547,
+2026-05-21 15:17:15,yellow_flag_iris_observed.csv,2.217,2.143,4.186,7.99,7.341,4.7,5.48,1.844,5.45,0.06713955676177036578423972536,
+2026-05-21 15:17:15,yellow_flag_iris_observed.csv,1.499,0.94,1.112,4.569,9.647,4.54,5.23,2.681,5.09,0.04234848043705895005971934969,
+2026-05-21 15:17:16,yellow_flag_iris_observed.csv,4.662,2.32,4.467,4.456,3.267,4.75,6.18,8.454,5.34,0.02428637521542131333217938331,
+2026-05-21 15:17:16,yellow_flag_iris_observed.csv,1.154,1.495,6.115,5.496,7.495,4.92,6.62,2.173,5.62,0.05861616804441480250764023086,
+2026-05-21 15:17:16,yellow_flag_iris_observed.csv,1.307,1.062,2.746,7.355,1.29,4.15,6.79,4.073,6.37,0.06077105178104417668885896568,
+2026-05-21 15:17:16,yellow_flag_iris_observed.csv,4.418,1.718,1.823,2.469,3.163,5.23,5.69,9.011,5.69,0.01767160501416881004275920633,
+2026-05-21 15:17:17,yellow_flag_iris_observed.csv,1.241,0.544,4.543,7.227,9.626,5.36,6.65,6.266,6.39,0.1093474779796395483452427163,
+2026-05-21 15:17:17,yellow_flag_iris_observed.csv,1.847,1.007,7.197,6.275,4.43,5.75,5.9,8.703,5.83,0.04588656538864637871677029371,
+2026-05-21 15:17:17,yellow_flag_iris_observed.csv,3.622,2.646,5.164,3.313,3.576,4.95,6.74,7.358,5.05,0.01138108343111096821733385597,
+2026-05-21 15:17:18,yellow_flag_iris_observed.csv,4.561,2.888,4.337,7.72,4.056,4.56,5.72,1.509,4.97,0.08390995411811574006304630058,
+2026-05-21 15:17:18,yellow_flag_iris_observed.csv,3.354,2.067,2.348,3.237,8.82,4.98,5.36,9.795,5.16,0.04274959206245817857477023191,
+2026-05-21 15:17:18,yellow_flag_iris_observed.csv,4.665,2.759,1.016,4.834,3.616,4.49,5.03,12.327,4.54,0.1196948333227187194988734812,
+2026-05-21 15:17:18,yellow_flag_iris_observed.csv,1.542,2.816,6.569,0.439,7.857,5.01,6.45,13.104,5.41,0.01571358876578462793372878162,
+2026-05-21 15:17:19,yellow_flag_iris_observed.csv,2.889,2.849,4.373,3.648,8.482,4.29,5.47,6.674,4.82,0.07703026577998171265524137825,
+2026-05-21 15:17:19,yellow_flag_iris_observed.csv,2.2,1.996,5.969,4.647,6.389,4.1,6.12,14.494,5.76,0.03467153208600499166015518725,
+2026-05-21 15:17:19,yellow_flag_iris_observed.csv,2.088,2.792,7.354,7.932,2.602,4.57,6.91,14.744,5.86,0.03494028211892168234943622761,
+2026-05-21 15:17:20,yellow_flag_iris_observed.csv,3.026,2.744,3.233,7.019,6.751,5.29,5.49,3.317,5.34,0.02751793058367903541684522507,
+2026-05-21 15:17:20,yellow_flag_iris_observed.csv,1.137,0.531,2.414,6.848,5.396,4.42,5.71,9.194,4.79,0.05852050038846035502350721363,
+2026-05-21 15:17:20,yellow_flag_iris_observed.csv,1.789,1.167,7.616,4.46,8.46,5.73,5.56,3.204,4.72,0.02774045576936695195744869751,
+2026-05-21 15:17:20,yellow_flag_iris_observed.csv,4.939,1.855,6.514,3.692,4.893,4.92,5.71,13.944,5.64,0.04074750404920987043064800622,
+2026-05-21 15:17:21,yellow_flag_iris_observed.csv,4.66,2.962,4.028,1.468,2.061,5.49,6.23,5.515,5.65,0.05445177422171795123369442311,
+2026-05-21 15:17:21,yellow_flag_iris_observed.csv,1.685,2.543,5.78,6.146,9.652,5.23,6.59,13.594,6.34,0.06340165222147490175420050572,
+2026-05-21 15:17:21,yellow_flag_iris_observed.csv,3.122,2.686,2.622,5.304,1.273,4.94,6.5,12.351,5.52,0.007806261895322539761608945592,
+2026-05-21 15:17:22,yellow_flag_iris_observed.csv,3.362,2.94,6.945,3.652,6.619,5.94,5.75,2.061,4.21,0.05697926094555285250763379240,
+2026-05-21 15:17:22,yellow_flag_iris_observed.csv,2.238,1.138,2.516,0.433,6.897,5.16,5.78,3.045,5.28,0.02708159331257289750107257637,
+2026-05-21 15:17:22,yellow_flag_iris_observed.csv,2.308,1.298,1.658,5.152,5.161,5.58,6.04,9.067,5.59,0.06658832094265659305901784626,
+2026-05-21 15:17:22,yellow_flag_iris_observed.csv,2.507,2.811,2.277,1.869,2.199,4.49,5.0,5.738,5.0,0.1177612063540064302967723489,
+2026-05-21 15:17:23,yellow_flag_iris_observed.csv,2.801,2.616,3.803,4.976,2.387,4.02,6.34,10.029,6.02,0.04223903372801914269466818126,
+2026-05-21 15:17:23,yellow_flag_iris_observed.csv,2.736,2.357,1.877,6.724,4.89,5.44,5.34,12.439,5.14,0.05419846607943450143091103944,
+2026-05-21 15:17:23,yellow_flag_iris_observed.csv,4.392,2.783,4.284,1.616,1.054,4.53,5.78,8.825,5.01,0.03405689300305578315422008550,
+2026-05-21 15:17:24,yellow_flag_iris_observed.csv,1.606,0.691,1.645,1.165,1.33,4.89,5.75,12.333,5.13,0.008080480353467560685789402926,
+2026-05-21 15:17:24,yellow_flag_iris_observed.csv,2.655,0.551,5.26,4.055,5.996,5.34,5.9,4.763,5.69,0.01613945487348254932877913736,
+2026-05-21 15:17:24,yellow_flag_iris_observed.csv,3.632,2.385,4.857,7.588,6.935,4.62,5.16,5.312,4.69,0.08349199712927708774942280324,
+2026-05-21 15:17:24,yellow_flag_iris_observed.csv,2.158,1.418,1.654,2.606,5.242,5.59,6.44,10.2,6.07,0.09339357575480359408138595217,
+2026-05-21 15:17:25,yellow_flag_iris_observed.csv,3.659,1.122,2.8,1.619,9.971,5.42,5.82,6.376,5.59,0.02114485237198090827135366878,
+2026-05-21 15:17:25,yellow_flag_iris_observed.csv,1.86,0.943,4.721,5.842,8.733,4.15,5.67,10.627,5.33,0.06187783172296822688560924085,
+2026-05-21 15:17:25,yellow_flag_iris_observed.csv,3.197,0.602,5.901,7.626,2.337,4.0,6.51,9.986,5.83,0.03275835997018330013085818837,
+2026-05-21 15:17:26,yellow_flag_iris_observed.csv,2.013,2.943,6.677,3.553,9.434,4.79,6.76,12.1,5.7,0.04155806626717492873922516901,
+2026-05-21 15:17:26,yellow_flag_iris_observed.csv,3.169,2.548,7.487,6.715,6.906,5.25,6.37,5.809,5.74,0.04725036252002481790764053759,
+2026-05-21 15:17:26,yellow_flag_iris_observed.csv,3.301,2.891,3.256,7.64,7.806,4.16,5.18,9.473,4.62,0.1306925455880276796170693566,
+2026-05-21 15:17:26,yellow_flag_iris_observed.csv,3.472,1.662,1.629,6.427,5.469,5.72,6.67,7.748,6.01,0.1246622444194927950255043718,
+2026-05-21 15:17:27,yellow_flag_iris_observed.csv,2.946,1.982,4.754,3.81,8.007,4.12,6.99,7.846,6.17,0.1035199353988627929905283180,
+2026-05-21 15:17:27,yellow_flag_iris_observed.csv,2.22,2.308,6.78,3.862,7.836,4.63,5.03,9.372,5.0,0.1004309671418105065046705559,
+2026-05-21 15:17:27,yellow_flag_iris_observed.csv,4.967,0.503,4.353,4.479,8.338,5.29,5.56,4.122,5.45,0.02903568038608048498673782506,
+2026-05-21 15:17:28,yellow_flag_iris_observed.csv,3.412,2.0,7.927,0.236,1.006,4.03,6.2,13.206,4.65,0.04294861006812670514064516181,
+2026-05-21 15:17:28,yellow_flag_iris_observed.csv,1.548,0.6,3.252,4.6,8.433,4.53,6.63,11.068,5.83,0.07074147524936847490759162250,
+2026-05-21 15:17:28,yellow_flag_iris_observed.csv,3.51,2.632,2.709,7.393,2.149,5.94,5.15,9.797,6.5,0.01165500114631684722221941721,
+2026-05-21 15:17:28,yellow_flag_iris_observed.csv,4.293,1.42,1.221,1.835,8.234,5.42,5.1,4.201,6.33,0.02477974902388738156491095150,
+2026-05-21 15:17:29,yellow_flag_iris_observed.csv,3.352,1.781,7.409,3.494,8.607,5.61,6.18,4.433,5.7,0.05633163148910968619653279338,
+2026-05-21 15:17:29,yellow_flag_iris_observed.csv,3.993,0.947,7.842,1.565,5.677,5.79,5.88,11.747,5.85,0.05348416200253754909467333119,
+2026-05-21 15:17:29,yellow_flag_iris_observed.csv,4.895,2.018,1.338,5.128,7.03,5.67,6.34,4.815,5.95,0.08129022390535265162681733755,
+2026-05-21 15:17:30,yellow_flag_iris_observed.csv,3.093,1.81,6.07,6.125,2.726,5.96,5.13,7.424,4.69,0.009812254168447190098883725442,
+2026-05-21 15:17:30,yellow_flag_iris_observed.csv,3.317,1.311,5.544,1.932,2.053,5.93,6.8,6.142,6.19,0.1507551890622850606361895793,
+2026-05-21 15:17:30,yellow_flag_iris_observed.csv,3.875,1.692,7.198,7.538,7.735,5.98,6.45,14.107,6.22,0.1249281983777530935423262121,
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diff --git a/modelling/data/abingdon-flowers/seasonal/yellow_flag_iris_synthesised.csv b/modelling/data/abingdon-flowers/seasonal/yellow_flag_iris_synthesised.csv
new file mode 100644
index 0000000..9ad6400
--- /dev/null
+++ b/modelling/data/abingdon-flowers/seasonal/yellow_flag_iris_synthesised.csv
@@ -0,0 +1,13 @@
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diff --git a/modelling/data/abingdon-flowers/seasonal/yellow_flag_iris_synthesised.png b/modelling/data/abingdon-flowers/seasonal/yellow_flag_iris_synthesised.png
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diff --git a/modelling/data/abingdon-flowers/winter/snowberry_classification.json b/modelling/data/abingdon-flowers/winter/snowberry_classification.json
new file mode 100644
index 0000000..f41a890
--- /dev/null
+++ b/modelling/data/abingdon-flowers/winter/snowberry_classification.json
@@ -0,0 +1,81 @@
+{
+  "schema_version": "winter-classification/v1",
+  "species": "Snowberry",
+  "model_family": "winter_presence",
+  "classification": {
+    "primary_class": "winter_visitor_with_autumn_arrival_component",
+    "winter_timing": "atypical",
+    "autumn_component": "moderate",
+    "summer_suppression": "moderate",
+    "baseline_presence": "low",
+    "winter_bump_shape": "moderate",
+    "autumn_bump_shape": "moderate",
+    "response_dynamics": "balanced",
+    "traits": [
+      "year_wrapping_winter_presence",
+      "atypical_winter_peak",
+      "moderate_autumn_component",
+      "moderate_summer_suppression",
+      "low_baseline_presence",
+      "moderate_winter_bump",
+      "balanced_response_dynamics"
+    ],
+    "confidence": "medium"
+  },
+  "derived_metrics": {
+    "winter_peak_month": 8.56,
+    "winter_peak_label": "September",
+    "autumn_peak_month": 9.865,
+    "autumn_peak_label": "October",
+    "summer_low_month": 6.54,
+    "summer_low_label": "July",
+    "autumn_to_winter_weight_ratio": 0.452991452991453,
+    "decay_to_growth_ratio": 1.4097560975609755,
+    "target_peak_month": 9,
+    "target_peak_label": "September",
+    "target_trough_month": 3,
+    "target_trough_label": "March",
+    "active_months_ge_0_10": [
+      7,
+      8,
+      9,
+      10,
+      11,
+      12
+    ],
+    "monthly_target": {
+      "January": 0.03040700561206541,
+      "February": 0.0010285149373122626,
+      "March": 0.0,
+      "April": 0.0,
+      "May": 0.0,
+      "June": 0.0,
+      "July": 0.36767574572901796,
+      "August": 0.894610302956173,
+      "September": 1.1841584093532311,
+      "October": 1.003791442139665,
+      "November": 0.5473905504411365,
+      "December": 0.17940148246807067
+    }
+  },
+  "parameter_evidence": {
+    "INITIAL_Y": 0.558,
+    "GROWTH_RATE": 1.23,
+    "DECAY_RATE": 1.734,
+    "BASELINE": 0.0,
+    "WINTER_WEIGHT": 0.936,
+    "AUTUMN_WEIGHT": 0.424,
+    "WINTER_PEAK": 8.56,
+    "AUTUMN_PEAK": 9.865,
+    "WINTER_WIDTH": 3.09,
+    "AUTUMN_WIDTH": 3.579,
+    "SUMMER_DIP": 0.238,
+    "SUMMER_LOW": 6.54,
+    "SUMMER_WIDTH": 2.852
+  },
+  "fit": {
+    "score": 0.145
+  },
+  "warnings": [],
+  "summary": "Snowberry is classified as winter visitor with autumn arrival component. The fitted winter component peaks around September, with a moderate autumn component centred around October. The model has low baseline presence and moderate summer suppression centred around July. The fitted response dynamics suggest balanced."
+}
diff --git a/modelling/data/abingdon-flowers/winter/snowberry_consensus.json b/modelling/data/abingdon-flowers/winter/snowberry_consensus.json
new file mode 100644
index 0000000..1b213c1
--- /dev/null
+++ b/modelling/data/abingdon-flowers/winter/snowberry_consensus.json
@@ -0,0 +1,17 @@
+{
+  "SCORE": "0.145",
+  "INITIAL_Y": "0.558",
+  "GROWTH_RATE": "1.23",
+  "DECAY_RATE": "1.734",
+  "BASELINE": "0",
+  "WINTER_WEIGHT": "0.936",
+  "AUTUMN_WEIGHT": "0.424",
+  "WINTER_PEAK": "8.56",
+  "AUTUMN_PEAK": "9.865",
+  "WINTER_WIDTH": "3.09",
+  "AUTUMN_WIDTH": "3.579",
+  "SUMMER_DIP": "0.238",
+  "SUMMER_LOW": "6.54",
+  "SUMMER_WIDTH": "2.852",
+  "SPECIES": "Snowberry"
+}
diff --git a/modelling/data/abingdon-flowers/winter/snowberry_observed.csv b/modelling/data/abingdon-flowers/winter/snowberry_observed.csv
new file mode 100644
index 0000000..47a7fb6
--- /dev/null
+++ b/modelling/data/abingdon-flowers/winter/snowberry_observed.csv
@@ -0,0 +1,13 @@
+month,value
+1,7
+2,2
+3,4
+4,0
+5,0
+6,0
+7,1
+8,15
+9,4
+10,9
+11,5
+12,6
diff --git a/modelling/data/abingdon-flowers/winter/snowberry_parameters.csv b/modelling/data/abingdon-flowers/winter/snowberry_parameters.csv
new file mode 100644
index 0000000..6a32370
--- /dev/null
+++ b/modelling/data/abingdon-flowers/winter/snowberry_parameters.csv
@@ -0,0 +1,201 @@
+TIMESTAMP,OBSERVED,SCORE,INITIAL_Y,GROWTH_RATE,DECAY_RATE,BASELINE,WINTER_WEIGHT,AUTUMN_WEIGHT,WINTER_PEAK,AUTUMN_PEAK,WINTER_WIDTH,AUTUMN_WIDTH,SUMMER_DIP,SUMMER_LOW,SUMMER_WIDTH
+2026-05-21 15:31:37,snowberry_observed.csv,0.2758880416996180432608333334,0.25,1.286,3.393,0.0,0.735,0.14,8.3,10.27,0.807,4.286,0.277,7.21,1.147
+2026-05-21 15:31:38,snowberry_observed.csv,0.2496189846022469415926851852,0.565,0.51,1.723,0.0,1.377,0.607,7.41,10.21,2.346,4.323,0.171,7.31,4.953
+2026-05-21 15:31:38,snowberry_observed.csv,0.2598197635651260129629629629,0.715,1.542,1.072,0.0,0.777,0.595,6.56,9.55,0.956,5.052,0.263,7.63,3.859
+2026-05-21 15:31:38,snowberry_observed.csv,0.3083818841525001015886620741,0.643,1.895,2.5,0.0,1.487,0.283,7.11,9.75,3.948,5.304,0.024,5.84,2.368
+2026-05-21 15:31:39,snowberry_observed.csv,0.1636745745387713378997386252,0.711,1.43,3.271,0.0,1.102,0.76,8.19,9.81,3.953,4.795,0.254,5.7,4.799
+2026-05-21 15:31:39,snowberry_observed.csv,0.1992904148707744218059302223,0.211,1.476,0.737,0.0,0.723,0.635,9.24,10.61,3.775,4.356,0.267,7.44,2.533
+2026-05-21 15:31:39,snowberry_observed.csv,0.2106082511167252166730555556,0.269,1.245,1.092,0.0,1.371,0.426,9.23,9.36,1.066,4.825,0.308,7.67,2.307
+2026-05-21 15:31:39,snowberry_observed.csv,0.1704648349624867041669638889,0.704,0.999,1.168,0.0,0.872,0.323,7.84,10.1,3.713,4.736,0.057,6.86,2.392
+2026-05-21 15:31:40,snowberry_observed.csv,0.2678651432087856052311490741,0.176,1.793,1.438,0.0,1.359,0.63,7.11,9.77,3.303,3.156,0.104,7.76,4.272
+2026-05-21 15:31:40,snowberry_observed.csv,0.1657133983733535117338395799,0.783,1.402,2.792,0.0,0.95,0.307,9.11,9.7,2.773,2.806,0.393,7.71,3.214
+2026-05-21 15:31:40,snowberry_observed.csv,0.1890906799379343955823514445,0.4,1.524,3.272,0.0,1.243,0.081,7.92,10.99,2.215,1.756,0.234,5.77,3.116
+2026-05-21 15:31:40,snowberry_observed.csv,0.3653492955827783931085194444,0.12,1.189,1.75,0.0,1.079,0.181,6.93,9.6,2.087,5.544,0.04,6.27,4.042
+2026-05-21 15:31:41,snowberry_observed.csv,0.1708885862458605412365015218,0.23,1.839,3.203,0.0,1.408,0.514,9.17,9.11,3.297,2.338,0.172,7.62,3.809
+2026-05-21 15:31:41,snowberry_observed.csv,0.1997176399910358562033333332,0.397,1.748,0.894,0.0,1.425,0.193,7.96,10.05,1.96,3.927,0.276,6.36,1.096
+2026-05-21 15:31:41,snowberry_observed.csv,0.1973358955981174217685185185,0.606,1.826,2.068,0.0,1.251,0.534,7.48,9.69,3.803,5.135,0.184,6.18,1.488
+2026-05-21 15:31:42,snowberry_observed.csv,0.1905274888757300552945278611,0.662,0.61,2.675,0.0,1.25,0.114,8.88,10.07,1.927,3.452,0.086,5.58,1.258
+2026-05-21 15:31:42,snowberry_observed.csv,0.2667566764880271207263555556,0.322,0.685,3.184,0.0,0.934,0.563,6.93,9.64,2.282,5.648,0.28,6.86,3.173
+2026-05-21 15:31:42,snowberry_observed.csv,0.1486559653076174161722222222,0.403,1.516,2.766,0.0,0.712,0.668,8.87,10.64,3.781,2.269,0.057,7.29,3.425
+2026-05-21 15:31:42,snowberry_observed.csv,0.2019095357937696397443851851,0.15,0.327,0.506,0.0,0.83,0.662,9.44,10.53,1.839,5.571,0.099,7.21,4.988
+2026-05-21 15:31:43,snowberry_observed.csv,0.1208116515883848303611111111,0.334,1.567,0.985,0.0,0.706,0.78,8.89,9.23,3.009,5.37,0.175,5.53,3.04
+2026-05-21 15:31:43,snowberry_observed.csv,0.2500448512102594330038888889,0.163,0.484,0.674,0.0,1.188,0.188,8.73,10.57,0.824,3.441,0.289,6.75,1.265
+2026-05-21 15:31:43,snowberry_observed.csv,0.1490453753243595735526851852,0.768,1.477,1.975,0.0,0.933,0.677,8.17,10.14,2.892,1.457,0.124,6.18,2.003
+2026-05-21 15:31:44,snowberry_observed.csv,0.1709984938195106070049074074,0.69,0.792,2.778,0.0,0.858,0.437,7.66,10.74,3.638,3.497,0.123,7.13,1.973
+2026-05-21 15:31:44,snowberry_observed.csv,0.2152136050254667134622095279,0.524,0.845,3.188,0.0,1.021,0.25,7.05,9.11,2.649,3.101,0.379,5.74,1.489
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diff --git a/modelling/data/abingdon-flowers/winter/snowberry_simulated.csv b/modelling/data/abingdon-flowers/winter/snowberry_simulated.csv
new file mode 100644
index 0000000..cc70793
--- /dev/null
+++ b/modelling/data/abingdon-flowers/winter/snowberry_simulated.csv
@@ -0,0 +1,123 @@
+method,step,t,y,step_size,difference,tolerance,y_normalised
+RungeKutta4,0,0.0,0.558,0.1,0,0.01,0.523342
+RungeKutta4,1,0.1,0.473494,0.1,0,0.01,0.444070
+RungeKutta4,2,0.2,0.401557,0.1,0,0.01,0.376589
+RungeKutta4,3,0.3,0.340339,0.1,0,0.01,0.319163
+RungeKutta4,4,0.4,0.288265,0.1,0,0.01,0.270314
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diff --git a/modelling/data/abingdon-flowers/winter/snowberry_synthesised.csv b/modelling/data/abingdon-flowers/winter/snowberry_synthesised.csv
new file mode 100644
index 0000000..999283f
--- /dev/null
+++ b/modelling/data/abingdon-flowers/winter/snowberry_synthesised.csv
@@ -0,0 +1,13 @@
+month,observed,simulated_raw,synthesised
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+8,15,0.722071,7.156464038836258
+9,4,1.0225699000000001,10.13471627657999
+10,9,0.9572214000000001,9.48704563166849
+11,5,0.5945944,5.893040215288277
+12,6,0.2497896,2.475671076217288
diff --git a/modelling/data/abingdon-flowers/winter/snowberry_synthesised.png b/modelling/data/abingdon-flowers/winter/snowberry_synthesised.png
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