diff --git a/.readthedocs.yaml b/.readthedocs.yaml
index ba957bf8..6814ba07 100644
--- a/.readthedocs.yaml
+++ b/.readthedocs.yaml
@@ -32,4 +32,6 @@ sphinx:
 # See https://docs.readthedocs.io/en/stable/guides/reproducible-builds.html
 python:
   install:
-    - requirements: docs/requirements.txt
\ No newline at end of file
+    - method: pip
+      path: .
+    - requirements: docs/requirements.txt
diff --git a/docs/_static/stop_detection/benchmarking_runtime.png b/docs/_static/stop_detection/benchmarking_runtime.png
new file mode 100644
index 00000000..32f5e0ed
Binary files /dev/null and b/docs/_static/stop_detection/benchmarking_runtime.png differ
diff --git a/docs/_static/stop_detection/grid_based_demo.png b/docs/_static/stop_detection/grid_based_demo.png
new file mode 100644
index 00000000..2007ba24
Binary files /dev/null and b/docs/_static/stop_detection/grid_based_demo.png differ
diff --git a/docs/_static/stop_detection/hdbscan_demo.png b/docs/_static/stop_detection/hdbscan_demo.png
new file mode 100644
index 00000000..8c1026f5
Binary files /dev/null and b/docs/_static/stop_detection/hdbscan_demo.png differ
diff --git a/docs/_static/stop_detection/lachesis_demo.png b/docs/_static/stop_detection/lachesis_demo.png
new file mode 100644
index 00000000..a2ac1d0d
Binary files /dev/null and b/docs/_static/stop_detection/lachesis_demo.png differ
diff --git a/docs/_static/stop_detection/tadbscan_demo.png b/docs/_static/stop_detection/tadbscan_demo.png
new file mode 100644
index 00000000..ab3a5e7b
Binary files /dev/null and b/docs/_static/stop_detection/tadbscan_demo.png differ
diff --git a/docs/api_reference.rst b/docs/api_reference.rst
new file mode 100644
index 00000000..17228592
--- /dev/null
+++ b/docs/api_reference.rst
@@ -0,0 +1,23 @@
+=============
+API Reference
+=============
+
+.. toctree::
+   :maxdepth: 2
+
+   api/nomad.agg
+   api/nomad.aggregation
+   api/nomad.city_gen
+   api/nomad.constants
+   api/nomad.contact_estimation
+   api/nomad.displacement
+   api/nomad.filters
+   api/nomad.filters_spark
+   api/nomad.generation
+   api/nomad.home_attribution
+   api/nomad.io
+   api/nomad.map_utils
+   api/nomad.metrics
+   api/nomad.stop_detection
+   api/nomad.traj_gen
+   api/nomad.visit_attribution
diff --git a/docs/base_module.rst b/docs/base_module.rst
deleted file mode 100644
index 691f36b5..00000000
--- a/docs/base_module.rst
+++ /dev/null
@@ -1,29 +0,0 @@
-base\_module package
-====================
-
-Submodules
-----------
-
-base\_module.doc\_test module
------------------------------
-
-.. automodule:: base_module.doc_test
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-base\_module.setup module
--------------------------
-
-.. automodule:: base_module.setup
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-Module contents
----------------
-
-.. automodule:: base_module
-   :members:
-   :undoc-members:
-   :show-inheritance:
diff --git a/docs/conf.py b/docs/conf.py
index 918b4d26..6571e85d 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -38,6 +38,7 @@
     "sphinx.ext.todo",
     "sphinx.ext.viewcode",
     "sphinx.ext.autodoc",
+    "sphinx.ext.napoleon",
     'sphinx_rtd_theme',
     'sphinx_design'
 ]
@@ -64,7 +65,6 @@
 # Theme options to customize the appearance
 html_theme_options = {
     'logo_only': True,  # Only show the logo, not the project name
-    'display_version': False,  # Don't display version info
 }
 
 # Add any paths that contain custom static files (such as style sheets) here,
@@ -72,4 +72,4 @@
 # so a file named "default.css" will overwrite the builtin "default.css".
 html_static_path = ['_static']
 
-html_logo = "_static/nomad-logo-black.png"
\ No newline at end of file
+html_logo = "_static/nomad-logo-black.png"
diff --git a/docs/index.rst b/docs/index.rst
index 8bedff9d..6f82d836 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -41,6 +41,7 @@ Installation
    :caption: User Guide
    :hidden:
 
+   getting_started
    data_ingestion
    filtering
    tessellation
diff --git a/docs/modules.rst b/docs/modules.rst
deleted file mode 100644
index 2a58e0c1..00000000
--- a/docs/modules.rst
+++ /dev/null
@@ -1,7 +0,0 @@
-src
-===
-
-.. toctree::
-   :maxdepth: 4
-
-   base_module
diff --git a/docs/requirements.txt b/docs/requirements.txt
index 6858cd96..07b8d29e 100644
--- a/docs/requirements.txt
+++ b/docs/requirements.txt
@@ -1 +1,5 @@
-sphinx-rtd-theme==1.2.2
\ No newline at end of file
+sphinx==8.1.3
+sphinx-rtd-theme==3.0.2
+nbsphinx==0.9.7
+sphinx-design==0.6.1
+ipython
diff --git a/docs/source/generate_synthetic_pois.ipynb b/docs/source/generate_synthetic_pois.ipynb
index b8b8696e..218ca199 100644
--- a/docs/source/generate_synthetic_pois.ipynb
+++ b/docs/source/generate_synthetic_pois.ipynb
@@ -1,5 +1,13 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e55d095e",
+   "metadata": {},
+   "source": [
+    "# Synthetic POI Generation\n"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,
diff --git a/docs/source/generate_synthetic_trajectories.ipynb b/docs/source/generate_synthetic_trajectories.ipynb
index 86d4463f..857e0799 100644
--- a/docs/source/generate_synthetic_trajectories.ipynb
+++ b/docs/source/generate_synthetic_trajectories.ipynb
@@ -307,14 +307,6 @@
     ")\n",
     "print(f\"Saved sparse trajectories to {output_path}\")"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "50b21243-a3c0-4498-9afd-1ddb9651c8b7",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/docs/source/lachesis_demo.ipynb b/docs/source/lachesis_demo.ipynb
index 1b0af018..5cf2bd87 100644
--- a/docs/source/lachesis_demo.ipynb
+++ b/docs/source/lachesis_demo.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "05c3afed",
+   "id": "97080af1",
    "metadata": {},
    "source": [
     "# Lachesis Stop Detection"
@@ -10,7 +10,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bca8605a",
+   "id": "bf26eee1",
    "metadata": {},
    "source": [
     "The first stop detection algorithm implemented in ```nomad``` is a sequential algorithm insipired by the one in _Project Lachesis: Parsing and Modeling Location Histories_ (Hariharan & Toyama). This algorithm for extracting stays is dependent on two parameters: the roaming distance and the stay duration. \n",
@@ -29,8 +29,15 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "7f0b2bb1",
-   "metadata": {},
+   "id": "ea8f3067",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-04-24T17:17:38.281554Z",
+     "iopub.status.busy": "2026-04-24T17:17:38.280554Z",
+     "iopub.status.idle": "2026-04-24T17:17:40.604247Z",
+     "shell.execute_reply": "2026-04-24T17:17:40.603247Z"
+    }
+   },
    "outputs": [],
    "source": [
     "%matplotlib inline\n",
@@ -64,12 +71,19 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "86273598",
-   "metadata": {},
+   "id": "f97a717d",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-04-24T17:17:40.607248Z",
+     "iopub.status.busy": "2026-04-24T17:17:40.607248Z",
+     "iopub.status.idle": "2026-04-24T17:17:40.933321Z",
+     "shell.execute_reply": "2026-04-24T17:17:40.933321Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 600x650 with 2 Axes>"
       ]
@@ -98,8 +112,16 @@
   }
  ],
  "metadata": {
+  "jupytext": {
+   "text_representation": {
+    "extension": ".py",
+    "format_name": "percent",
+    "format_version": "1.3",
+    "jupytext_version": "1.18.1"
+   }
+  },
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -113,7 +135,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.10.0"
   }
  },
  "nbformat": 4,
diff --git a/docs/source/random_city.ipynb b/docs/source/random_city.ipynb
index af619942..c1e647ed 100644
--- a/docs/source/random_city.ipynb
+++ b/docs/source/random_city.ipynb
@@ -2,25 +2,22 @@
  "cells": [
   {
    "cell_type": "markdown",
+   "id": "d1b5e781",
    "metadata": {},
    "source": [
-    "Install the `nomad` package from GitHub"
+    "# Random City Generation\n"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%load_ext autoreload\n",
-    "%autoreload 2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-04-24T17:16:13.633934Z",
+     "iopub.status.busy": "2026-04-24T17:16:13.633934Z",
+     "iopub.status.idle": "2026-04-24T17:16:18.079970Z",
+     "shell.execute_reply": "2026-04-24T17:16:18.078969Z"
+    },
     "tags": []
    },
    "outputs": [],
@@ -55,8 +52,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-04-24T17:16:18.082970Z",
+     "iopub.status.busy": "2026-04-24T17:16:18.081971Z",
+     "iopub.status.idle": "2026-04-24T17:17:15.300300Z",
+     "shell.execute_reply": "2026-04-24T17:17:15.300300Z"
+    },
     "tags": []
    },
    "outputs": [
@@ -64,7 +67,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\pacob\\Desktop\\Brain\\Code Development\\nomad\\nomad\\city_gen.py:694: UserWarning: Hub network not available. Initializing with 6 hubs.\n",
+      "C:\\Users\\franc\\Desktop\\Code Development\\nomad\\nomad\\city_gen.py:694: UserWarning: Hub network not available. Initializing with 6 hubs.\n",
       "  warnings.warn(f\"Hub network not available. Initializing with {hub_size} hubs.\")\n"
      ]
     }
@@ -84,8 +87,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-04-24T17:17:15.304300Z",
+     "iopub.status.busy": "2026-04-24T17:17:15.304300Z",
+     "iopub.status.idle": "2026-04-24T17:17:22.368601Z",
+     "shell.execute_reply": "2026-04-24T17:17:22.367601Z"
+    },
     "tags": []
    },
    "outputs": [
@@ -129,11 +138,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 4,
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-04-24T17:17:22.370602Z",
+     "iopub.status.busy": "2026-04-24T17:17:22.370602Z",
+     "iopub.status.idle": "2026-04-24T17:17:22.848579Z",
+     "shell.execute_reply": "2026-04-24T17:17:22.848579Z"
+    },
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\franc\\Desktop\\Code Development\\nomad\\nomad\\city_gen.py:1579: UserWarning: shortest_paths not initialized. Auto-initializing with callable_only=True. Call compute_shortest_paths() explicitly.\n",
+      "  warnings.warn(\"shortest_paths not initialized. Auto-initializing with callable_only=True. Call compute_shortest_paths() explicitly.\", UserWarning)\n"
+     ]
+    }
+   ],
    "source": [
     "population = Population(clustered_city)\n",
     "population.generate_agents(N=1, seed=100, datetimes=pd.Timestamp(\"2025-01-01 00:00\", tz=\"America/New_York\"))\n",
@@ -152,14 +176,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 5,
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-04-24T17:17:22.850582Z",
+     "iopub.status.busy": "2026-04-24T17:17:22.850582Z",
+     "iopub.status.idle": "2026-04-24T17:17:30.536559Z",
+     "shell.execute_reply": "2026-04-24T17:17:30.536559Z"
+    },
     "tags": []
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -203,7 +233,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.10.0"
   }
  },
  "nbformat": 4,
diff --git a/docs/source/tadbscan_demo.ipynb b/docs/source/tadbscan_demo.ipynb
index c1484e1e..d5fefc65 100644
--- a/docs/source/tadbscan_demo.ipynb
+++ b/docs/source/tadbscan_demo.ipynb
@@ -26,7 +26,14 @@
    "cell_type": "code",
    "execution_count": 1,
    "id": "1e62c25a",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-04-24T17:17:33.012981Z",
+     "iopub.status.busy": "2026-04-24T17:17:33.012981Z",
+     "iopub.status.idle": "2026-04-24T17:17:36.188742Z",
+     "shell.execute_reply": "2026-04-24T17:17:36.188742Z"
+    }
+   },
    "outputs": [],
    "source": [
     "%matplotlib inline\n",
@@ -56,8 +63,9 @@
     "\n",
     "stops_tadb = DBSCAN.ta_dbscan(traj,\n",
     "                    time_thresh=60,\n",
-    "                    dist_thresh=10,\n",
+    "                    dist_thresh=8,\n",
     "                    min_pts=3,\n",
+    "                    dur_min=5,\n",
     "                    complete_output=True,\n",
     "                    traj_cols=tc)    "
    ]
@@ -66,11 +74,18 @@
    "cell_type": "code",
    "execution_count": 2,
    "id": "df942a2c",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-04-24T17:17:36.191743Z",
+     "iopub.status.busy": "2026-04-24T17:17:36.190743Z",
+     "iopub.status.idle": "2026-04-24T17:17:36.534750Z",
+     "shell.execute_reply": "2026-04-24T17:17:36.534750Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 600x650 with 2 Axes>"
       ]
@@ -100,7 +115,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -114,7 +129,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.10.0"
   }
  },
  "nbformat": 4,
diff --git a/docs/stop_detection.rst b/docs/stop_detection.rst
index a8bafbc0..7e8eb14f 100644
--- a/docs/stop_detection.rst
+++ b/docs/stop_detection.rst
@@ -14,7 +14,7 @@ Overview of stop-detection methods
 
 A comparison of the stop-detection algorithms in NOMAD is shown below.
 
-.. figure:: _images/source_benchmarking_of_stop_detection_algorithms_10_0.png
+.. figure:: _static/stop_detection/benchmarking_runtime.png
    :target: source/benchmarking_of_stop_detection_algorithms.html
    :align: center
    :width: 80%
@@ -62,7 +62,7 @@ Notice that this method also works with **geographic coordinates** (lon, lat), u
 
 **Source:** Ester, M., Kriegel, H. P., Sander, J., & Xu, X. (1996). A density-based algorithm for discovering clusters in large spatial databases with noise. *Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96)*, 226-231.
 
-.. figure:: _images/source_tadbscan_demo_3_0.png
+.. figure:: _static/stop_detection/tadbscan_demo.png
    :target: source/tadbscan_demo.html
    :align: center
    :width: 80%
@@ -79,7 +79,7 @@ The HDBSCAN algorithm constructs a hierarchy of non-overlapping clusters from di
 
 **Source:** Campello, R. J., Moulavi, D., & Sander, J. (2013). Density-based clustering based on hierarchical density estimates. *Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)*, 160-172.
 
-.. figure:: _images/source_hdbscan_demo_3_0.png
+.. figure:: _static/stop_detection/hdbscan_demo.png
    :target: source/hdbscan_demo.html
    :align: center
    :width: 80%
@@ -102,7 +102,7 @@ The algorithms work with the same call, provided there is at least a pair of coo
 
 **Source:** NOMAD implementation using spatial tessellation (H3, S2) for trajectory segmentation.
 
-.. figure:: _images/source_grid_based_demo_3_0.png
+.. figure:: _static/stop_detection/grid_based_demo.png
    :target: source/grid_based_demo.html
    :align: center
    :width: 80%
@@ -130,7 +130,7 @@ This algorithm has the following parameters, which determine the size of the res
 
 **Source:** Hariharan, R., & Toyama, K. (2004). Project Lachesis: Parsing and modeling location histories. *International Conference on Geographic Information Science*, 106-124.
 
-.. figure:: _images/source_lachesis_demo_3_0.png
+.. figure:: _static/stop_detection/lachesis_demo.png
    :target: source/lachesis_demo.html
    :align: center
    :width: 80%
diff --git a/nomad/city_gen.py b/nomad/city_gen.py
index 17534f9d..87d74a29 100644
--- a/nomad/city_gen.py
+++ b/nomad/city_gen.py
@@ -93,18 +93,6 @@ class City:
     gravity : pandas.DataFrame
         A DataFrame containing the gravity values between all pairs of streets.
 
-    Methods
-    -------
-    add_building
-        Adds a building to the city.
-    get_block
-        Returns the block (Street or Building) at the given coordinates.
-    get_street_graph
-        Constructs the graph of streets and calculates the shortest paths between all pairs of streets.
-    save
-        Saves the city object to a file.
-    plot_city
-        Plots the city on a given matplotlib axis.
     """
 
     def __init__(self,
@@ -667,12 +655,16 @@ def compute_gravity(self, exponent=2.0, callable_only=False, n_chunks=10, use_pr
         
         Notes
         -----
-        Hub mode approximates: dist(i,j) ≈ manhattan(door_i, hub_i) + graph(hub_i, hub_j) + manhattan(hub_j, door_j)
-        True mode computes: dist(i,j) = shortest_path_length(door_i, door_j) on street graph
+        Hub mode approximates ``dist(i, j)`` as the distance from
+        ``door_i`` to ``hub_i``, plus the graph distance from ``hub_i`` to
+        ``hub_j``, plus the distance from ``hub_j`` to ``door_j``.
+        True mode computes ``shortest_path_length(door_i, door_j)`` on the
+        street graph.
         
         Stores result in self.grav as DataFrame (callable_only=False) or callable (callable_only=True)
         
         Persistence:
+
         - Hub mode (use_proxy_hub_distance=True): Gravity infrastructure is saved by 
           save_geopackage() and restored by from_geopackage(load_gravity=True). The 
           city.grav callable works immediately after loading.
diff --git a/nomad/filters.py b/nomad/filters.py
index 93de6aa1..d07b8095 100644
--- a/nomad/filters.py
+++ b/nomad/filters.py
@@ -711,6 +711,7 @@ def completeness(data,
     ----------
     data : pandas.Series or pandas.DataFrame
         Trajectory data containing timestamps, either as:
+
         - A pandas Series of Unix-second integers or datetime64 values.
         - A DataFrame, from which timestamp and user columns are identified
           via `traj_cols` or default column naming conventions.
diff --git a/nomad/traj_gen.py b/nomad/traj_gen.py
index 62fd9575..4c1ebfbe 100644
--- a/nomad/traj_gen.py
+++ b/nomad/traj_gen.py
@@ -75,10 +75,12 @@ def sample_bursts_gaps(traj,
         scale parameter (mean) of Exponential distribution modeling ping inter-arrival times
         within a burst, where 1/beta_ping is the rate of events (pings) per minute.
     ha: float
-        Mean horizontal-accuracy radius *in 15 m blocks*. The actual per-ping accuracy is random: ha ≥ 8 m/15m
-        and follows a Pareto distribution with that mean. For each ping the spatial noise (ε_x, ε_y) is drawn
-        i.i.d. N(0, σ²) with σ = HA / 1.515 so that |ε| ≤ HA with 68 % probability.
-    seed : int0
+        Mean horizontal-accuracy radius in 15 m blocks. The actual per-ping
+        accuracy is random: ha >= 8 m / 15 m and follows a Pareto distribution
+        with that mean. For each ping the spatial noise (epsilon_x, epsilon_y)
+        is drawn i.i.d. from N(0, sigma^2), with sigma = HA / 1.515 so that
+        abs(epsilon) <= HA with 68 percent probability.
+    seed : int
         The seed for random number generation.
     output_bursts : bool
         If True, outputs the latent variables on when bursts start and end.
@@ -150,12 +152,6 @@ class Agent:
     dt : float
         Time step duration.
 
-    Methods
-    -------
-    plot_traj
-        Plots the trajectory of the agent on the given axis.
-    sample_traj_hier_nhpp
-        Samples a sparse trajectory using a hierarchical non-homogeneous Poisson process.
     """
 
     def __init__(self, 
@@ -1320,6 +1316,8 @@ def save_pop(self,
     
         Parameters
         ----------
+        traj_cols : dict, optional
+            Column mapping used to normalize trajectory data before writing.
         sparse_path : str or Path, optional
             Destination path for sparse trajectories.
         full_path : str or Path, optional
@@ -1330,9 +1328,15 @@ def save_pop(self,
             Destination path for diaries.
         dest_diaries_path : str or Path, optional
             Destination path for destination diaries.
-        partition_cols : list of partition column names.
+        partition_cols : list of str, optional
+            Column names used to partition written datasets.
+        mixed_timezone_behavior : str, optional
+            Behavior passed to ``nomad.io.base.from_df`` for mixed timezone
+            columns.
         filesystem : pyarrow.fs.FileSystem or None
             Optional filesystem object (e.g., s3fs.S3FileSystem). If None, inferred automatically.
+        fmt : str, optional
+            File format to write.
         **kwargs : dict, optional
             Additional static columns to include in the homes table. Each key-value pair
             represents a column name and its values. Values must be a list/array of length N
@@ -1526,4 +1530,4 @@ def allowed_buildings(local_ts):
     Finds allowed buildings for the timestamp
     """
     hour = local_ts.hour
-    return ALLOWED_BUILDINGS[hour]
\ No newline at end of file
+    return ALLOWED_BUILDINGS[hour]