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Update make_mth5_from_lemi.ipynb
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‎src/make_mth5/make_mth5_from_lemi.ipynb‎

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},
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"cell_type": "code",
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"id": "1208c257-8064-4ed3-a7db-eebe14b248d2",
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"cell_type": "code",
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"id": "2e0dc972-54eb-43d3-af4f-0abc2c4834e1",
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"cell_type": "code",
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},
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"cell_type": "code",
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"id": "f1377448",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\u001b[1m2026-01-05T21:17:14.371451-0800 | INFO | mth5.mth5 | _initialize_file | line: 678 | Initialized MTH5 0.2.0 file c:\\Users\\peaco\\OneDrive\\Documents\\GitHub\\mth5_tutorial\\src\\notebooks\\from_lemi424.h5 in mode w\u001b[0m\n",
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"\u001b[1m2026-01-05T21:17:19.270794-0800 | INFO | mth5.mth5 | close_mth5 | line: 772 | Flushing and closing c:\\Users\\peaco\\OneDrive\\Documents\\GitHub\\mth5_tutorial\\src\\notebooks\\from_lemi424.h5\u001b[0m\n"
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"\u001b[1m2026-01-05T21:39:52.726196-0800 | INFO | mth5.mth5 | _initialize_file | line: 678 | Initialized MTH5 0.2.0 file c:\\Users\\peaco\\OneDrive\\Documents\\GitHub\\mth5_tutorial\\src\\make_mth5\\from_lemi424.h5 in mode w\u001b[0m\n",
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"\u001b[1m2026-01-05T21:39:57.983802-0800 | INFO | mth5.mth5 | close_mth5 | line: 772 | Flushing and closing c:\\Users\\peaco\\OneDrive\\Documents\\GitHub\\mth5_tutorial\\src\\make_mth5\\from_lemi424.h5\u001b[0m\n"
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]
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}
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],
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"cell_type": "code",
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"execution_count": 5,
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"id": "0dc5b3ab",
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"metadata": {},
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"outputs": [
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" .........................\n",
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" --> Dataset: tf_summary\n",
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" .........................\n",
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"\u001b[1m2026-01-05T21:17:32.236604-0800 | INFO | mth5.mth5 | close_mth5 | line: 772 | Flushing and closing c:\\Users\\peaco\\OneDrive\\Documents\\GitHub\\mth5_tutorial\\src\\notebooks\\from_lemi424.h5\u001b[0m\n"
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"\u001b[1m2026-01-05T21:40:10.605473-0800 | INFO | mth5.mth5 | close_mth5 | line: 772 | Flushing and closing c:\\Users\\peaco\\OneDrive\\Documents\\GitHub\\mth5_tutorial\\src\\make_mth5\\from_lemi424.h5\u001b[0m\n"
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]
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}
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],
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" m = m.open_mth5(mth5_path)\n",
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" print(m)\n",
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" channel_df = m.channel_summary.to_dataframe()\n",
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" run_df = m.run_summary"
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" run_df = m.run_summary\n",
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" experiment = m.to_experiment()"
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]
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},
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{
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"run_df"
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]
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{
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"cell_type": "markdown",
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"id": "b36ba0cb",
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"metadata": {},
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"source": [
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"## Experiment Metadata\n",
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"\n",
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"The `experiment` object contains all the metadata contained within the MTH5 file."
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]
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},
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{
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"cell_type": "markdown",
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"id": "e528d47d",
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"metadata": {},
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "8457edca",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"Experiment Contents\n",
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"--------------------\n",
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"Number of Surveys: 1\n",
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" Survey ID: test\n",
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" Number of Stations: 1\n",
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" Number of Filters: 0\n",
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" --------------------\n",
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" Station ID: mt01\n",
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" Number of Runs: 2\n",
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" --------------------\n",
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" Run ID: sr1_0001\n",
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" Number of Channels: 7\n",
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" Recorded Channels: bx, by, bz, e1, e2, temperature_e, temperature_h\n",
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" Start: 2020-10-01T00:00:00+00:00\n",
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" End: 2020-10-01T00:01:59+00:00\n",
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" --------------------\n",
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" Run ID: sr1_0002\n",
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" Number of Channels: 7\n",
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" Recorded Channels: bx, by, bz, e1, e2, temperature_e, temperature_h\n",
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" Start: 2020-10-02T00:00:00+00:00\n",
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" End: 2020-10-02T00:01:59+00:00\n",
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" --------------------"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"experiment"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"id": "f882ad73",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{\n",
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" \"run\": {\n",
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" \"acquired_by.author\": \"\",\n",
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" \"channels_recorded_auxiliary\": [\n",
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" \"temperature_e\",\n",
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" \"temperature_h\"\n",
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" ],\n",
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" \"channels_recorded_electric\": [\n",
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" \"e1\",\n",
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" \"e2\"\n",
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" ],\n",
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" \"channels_recorded_magnetic\": [\n",
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" \"bx\",\n",
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" \"by\",\n",
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" \"bz\"\n",
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" ],\n",
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" \"data_logger.firmware.author\": \"\",\n",
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" \"data_logger.firmware.name\": \"\",\n",
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" \"data_logger.firmware.version\": \"\",\n",
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" \"data_logger.manufacturer\": \"LEMI\",\n",
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" \"data_logger.model\": \"LEMI424\",\n",
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" \"data_logger.power_source.voltage.end\": 12.98,\n",
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" \"data_logger.power_source.voltage.start\": 12.99,\n",
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" \"data_logger.timing_system.drift\": 0.0,\n",
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" \"data_logger.timing_system.type\": \"GPS\",\n",
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" \"data_logger.timing_system.uncertainty\": 0.0,\n",
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" \"data_type\": \"BBMT\",\n",
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" \"id\": \"sr1_0001\",\n",
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" \"metadata_by.author\": \"\",\n",
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" \"provenance.archive.name\": \"\",\n",
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" \"provenance.creation_time\": \"1980-01-01T00:00:00+00:00\",\n",
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" \"provenance.creator.author\": \"\",\n",
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" \"provenance.software.author\": \"\",\n",
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" \"provenance.software.name\": \"\",\n",
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" \"provenance.software.version\": \"\",\n",
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" \"provenance.submitter.author\": \"\",\n",
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" \"sample_rate\": 1.0,\n",
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" \"time_period.end\": \"2020-10-01T00:01:59+00:00\",\n",
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" \"time_period.start\": \"2020-10-01T00:00:00+00:00\"\n",
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" }\n",
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"}"
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]
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},
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"experiment.surveys[0].stations[0].runs[0]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "4f48d2f6",
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"metadata": {},
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"outputs": [],
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"source": []
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"metadata": {

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