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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 2 new columns ({'{', '__index_level_0__'}) and 9 missing columns ({'VSWCMean_V507', 'VSWCMean_V506', 'VSWCMean_V502', 'startDateTime', 'VSWCMean_V508', 'VSWCMean_V505', 'VSWCMean_V501', 'VSWCMean_V503', 'VSWCMean_V504'}).
This happened while the csv dataset builder was generating data using
hf://datasets/johnnybwell/neon_CLBJ/processed/CLBJ_soil_moisture_daily_by_depth_QC_2021-07_2025-06.csv.meta.json (at revision ed5746720bd470c2e4caadf52ee0b3ba3ec551af), ['hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/processed/CLBJ_soil_moisture_daily_by_depth_QC_2021-07_2025-06.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/processed/CLBJ_soil_moisture_daily_by_depth_QC_2021-07_2025-06.csv.meta.json', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/processed/CLBJ_soil_moisture_drought_latest_summary.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/processed/tower_drought/feature_importance.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/air_temperature/CLBJ_air_temperature_2017-01_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/air_temperature/CLBJ_air_temperature_2021-07_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/air_temperature/CLBJ_airtemp_2021-07_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/eddy_covariance/CLBJ_eddy_covariance_2017-01_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/eddy_covariance/CLBJ_eddy_covariance_2021-07_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/humidity/CLBJ_relative_humidity_2017-01_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/humidity/CLBJ_relative_humidity_2021-07_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/phenocam/canopy/CLBJ_phenocam_canopy_2017-02-14_2026-07-13.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/phenocam/canopy/CLBJ_phenocam_canopy_2021-07-13_2026-07-13.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/phenocam/understory/CLBJ_phenocam_understory_2017-02-13_2026-07-24.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/phenocam/understory/CLBJ_phenocam_understory_2021-07-22_2026-07-22.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/precipitation/CLBJ_precipitation_2017-01_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/precipitation/CLBJ_precipitation_2021-07_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/pressure/CLBJ_barometric_pressure_2017-01_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/pressure/CLBJ_barometric_pressure_2021-07_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/radiation/CLBJ_radiation_net_2017-01_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/radiation/CLBJ_radiation_net_2021-07_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/radiation/CLBJ_radiation_par_2017-01_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/radiation/CLBJ_radiation_par_2021-07_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/soil_co2/CLBJ_soil_co2_2017-01_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/soil_co2/CLBJ_soil_co2_2021-07_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/soil_heat_flux/CLBJ_soil_heat_flux_2017-01_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/soil_heat_flux/CLBJ_soil_heat_flux_2021-07_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/soil_moisture/CLBJ_soil_moisture_2017-01_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/soil_moisture/CLBJ_soil_moisture_2021-07_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/soil_temperature/CLBJ_soil_temperature_2017-01_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/soil_temperature/CLBJ_soil_temperature_2021-07_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/wind/CLBJ_wind_2017-01_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/wind/CLBJ_wind_2021-07_2026-07.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
{: double
__index_level_0__: string
-- schema metadata --
pandas: '{"index_columns": ["__index_level_0__"], "column_indexes": [{"na' + 453
to
{'startDateTime': Value('string'), 'VSWCMean_V501': Value('float64'), 'VSWCMean_V502': Value('float64'), 'VSWCMean_V503': Value('float64'), 'VSWCMean_V504': Value('float64'), 'VSWCMean_V505': Value('float64'), 'VSWCMean_V506': Value('float64'), 'VSWCMean_V507': Value('float64'), 'VSWCMean_V508': Value('float64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 2 new columns ({'{', '__index_level_0__'}) and 9 missing columns ({'VSWCMean_V507', 'VSWCMean_V506', 'VSWCMean_V502', 'startDateTime', 'VSWCMean_V508', 'VSWCMean_V505', 'VSWCMean_V501', 'VSWCMean_V503', 'VSWCMean_V504'}).
This happened while the csv dataset builder was generating data using
hf://datasets/johnnybwell/neon_CLBJ/processed/CLBJ_soil_moisture_daily_by_depth_QC_2021-07_2025-06.csv.meta.json (at revision ed5746720bd470c2e4caadf52ee0b3ba3ec551af), ['hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/processed/CLBJ_soil_moisture_daily_by_depth_QC_2021-07_2025-06.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/processed/CLBJ_soil_moisture_daily_by_depth_QC_2021-07_2025-06.csv.meta.json', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/processed/CLBJ_soil_moisture_drought_latest_summary.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/processed/tower_drought/feature_importance.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/air_temperature/CLBJ_air_temperature_2017-01_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/air_temperature/CLBJ_air_temperature_2021-07_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/air_temperature/CLBJ_airtemp_2021-07_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/eddy_covariance/CLBJ_eddy_covariance_2017-01_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/eddy_covariance/CLBJ_eddy_covariance_2021-07_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/humidity/CLBJ_relative_humidity_2017-01_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/humidity/CLBJ_relative_humidity_2021-07_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/phenocam/canopy/CLBJ_phenocam_canopy_2017-02-14_2026-07-13.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/phenocam/canopy/CLBJ_phenocam_canopy_2021-07-13_2026-07-13.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/phenocam/understory/CLBJ_phenocam_understory_2017-02-13_2026-07-24.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/phenocam/understory/CLBJ_phenocam_understory_2021-07-22_2026-07-22.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/precipitation/CLBJ_precipitation_2017-01_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/precipitation/CLBJ_precipitation_2021-07_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/pressure/CLBJ_barometric_pressure_2017-01_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/pressure/CLBJ_barometric_pressure_2021-07_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/radiation/CLBJ_radiation_net_2017-01_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/radiation/CLBJ_radiation_net_2021-07_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/radiation/CLBJ_radiation_par_2017-01_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/radiation/CLBJ_radiation_par_2021-07_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/soil_co2/CLBJ_soil_co2_2017-01_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/soil_co2/CLBJ_soil_co2_2021-07_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/soil_heat_flux/CLBJ_soil_heat_flux_2017-01_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/soil_heat_flux/CLBJ_soil_heat_flux_2021-07_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/soil_moisture/CLBJ_soil_moisture_2017-01_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/soil_moisture/CLBJ_soil_moisture_2021-07_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/soil_temperature/CLBJ_soil_temperature_2017-01_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/soil_temperature/CLBJ_soil_temperature_2021-07_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/wind/CLBJ_wind_2017-01_2026-07.csv', 'hf://datasets/johnnybwell/neon_CLBJ@ed5746720bd470c2e4caadf52ee0b3ba3ec551af/raw/wind/CLBJ_wind_2021-07_2026-07.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
startDateTime string | VSWCMean_V501 float64 | VSWCMean_V502 float64 | VSWCMean_V503 float64 | VSWCMean_V504 null | VSWCMean_V505 null | VSWCMean_V506 float64 | VSWCMean_V507 null | VSWCMean_V508 null |
|---|---|---|---|---|---|---|---|---|
2021-07-01 00:00:00+00:00 | 0.128942 | 0.08165 | 0.119733 | null | null | 0.114641 | null | null |
2021-07-02 00:00:00+00:00 | 0.125937 | 0.07992 | 0.117596 | null | null | 0.113653 | null | null |
2021-07-03 00:00:00+00:00 | 0.126106 | 0.079118 | 0.116603 | null | null | 0.113277 | null | null |
2021-07-04 00:00:00+00:00 | 0.123471 | 0.076893 | 0.115024 | null | null | 0.112481 | null | null |
2021-07-05 00:00:00+00:00 | 0.119239 | 0.074687 | 0.112518 | null | null | 0.111322 | null | null |
2021-07-06 00:00:00+00:00 | 0.115553 | 0.072199 | 0.109984 | null | null | 0.110237 | null | null |
2021-07-07 00:00:00+00:00 | 0.112479 | 0.070301 | 0.107764 | null | null | 0.109126 | null | null |
2021-07-08 00:00:00+00:00 | 0.109549 | null | 0.105674 | null | null | 0.108109 | null | null |
2021-07-09 00:00:00+00:00 | 0.106613 | null | 0.103186 | null | null | 0.106893 | null | null |
2021-07-10 00:00:00+00:00 | 0.104418 | 0.065498 | 0.101603 | null | null | 0.106119 | null | null |
2021-07-11 00:00:00+00:00 | 0.11693 | 0.067782 | 0.101909 | null | null | 0.105242 | null | null |
2021-07-12 00:00:00+00:00 | 0.114547 | 0.066522 | 0.100965 | null | null | 0.104349 | null | null |
2021-07-13 00:00:00+00:00 | 0.10751 | 0.065174 | 0.098368 | null | null | 0.103504 | null | null |
2021-07-14 00:00:00+00:00 | 0.103506 | 0.063929 | 0.096183 | null | null | 0.102387 | null | null |
2021-07-15 00:00:00+00:00 | 0.101061 | 0.06328 | 0.093599 | null | null | 0.101363 | null | null |
2021-07-16 00:00:00+00:00 | 0.09969 | 0.062819 | 0.09111 | null | null | 0.100505 | null | null |
2021-07-17 00:00:00+00:00 | 0.098439 | 0.062167 | 0.088635 | null | null | 0.099686 | null | null |
2021-07-18 00:00:00+00:00 | 0.107646 | 0.067591 | 0.087484 | null | null | 0.098657 | null | null |
2021-07-19 00:00:00+00:00 | 0.158508 | 0.089237 | 0.104569 | null | null | 0.09866 | null | null |
2021-07-20 00:00:00+00:00 | 0.165486 | 0.095596 | 0.109023 | null | null | 0.098802 | null | null |
2021-07-21 00:00:00+00:00 | 0.149812 | 0.090494 | 0.104965 | null | null | 0.098351 | null | null |
2021-07-22 00:00:00+00:00 | 0.139375 | 0.086896 | 0.101785 | null | null | 0.098327 | null | null |
2021-07-23 00:00:00+00:00 | 0.131651 | 0.083502 | 0.09894 | null | null | 0.097776 | null | null |
2021-07-24 00:00:00+00:00 | 0.12314 | 0.080416 | 0.095484 | null | null | 0.097689 | null | null |
2021-07-25 00:00:00+00:00 | 0.115276 | 0.077208 | 0.092011 | null | null | 0.097021 | null | null |
2021-07-26 00:00:00+00:00 | 0.109436 | 0.073727 | 0.089381 | null | null | 0.096134 | null | null |
2021-07-27 00:00:00+00:00 | 0.105132 | 0.07122 | 0.086359 | null | null | 0.095942 | null | null |
2021-07-28 00:00:00+00:00 | 0.102193 | 0.069044 | 0.08411 | null | null | 0.095781 | null | null |
2021-07-29 00:00:00+00:00 | 0.100053 | 0.067338 | 0.082014 | null | null | null | null | null |
2021-07-30 00:00:00+00:00 | 0.098495 | 0.065643 | 0.079789 | null | null | 0.100404 | null | null |
2021-07-31 00:00:00+00:00 | 0.097198 | 0.064139 | 0.07841 | null | null | 0.096998 | null | null |
2021-08-01 00:00:00+00:00 | 0.096376 | 0.062882 | 0.077033 | null | null | null | null | null |
2021-08-02 00:00:00+00:00 | 0.181364 | 0.106684 | 0.12088 | null | null | 0.093266 | null | null |
2021-08-03 00:00:00+00:00 | 0.161295 | 0.097622 | 0.118821 | null | null | 0.093139 | null | null |
2021-08-04 00:00:00+00:00 | 0.152794 | 0.094362 | 0.116053 | null | null | 0.092794 | null | null |
2021-08-05 00:00:00+00:00 | 0.145184 | 0.091401 | 0.112983 | null | null | 0.092663 | null | null |
2021-08-06 00:00:00+00:00 | 0.138638 | 0.088699 | 0.109723 | null | null | 0.097291 | null | null |
2021-08-07 00:00:00+00:00 | 0.131312 | 0.085483 | 0.106818 | null | null | 0.093215 | null | null |
2021-08-08 00:00:00+00:00 | 0.124257 | 0.082194 | 0.103372 | null | null | 0.092033 | null | null |
2021-08-09 00:00:00+00:00 | 0.116963 | 0.078486 | 0.09976 | null | null | 0.091741 | null | null |
2021-08-10 00:00:00+00:00 | 0.111077 | 0.075011 | 0.096282 | null | null | 0.09231 | null | null |
2021-08-11 00:00:00+00:00 | 0.105605 | 0.071539 | 0.092249 | null | null | 0.090852 | null | null |
2021-08-12 00:00:00+00:00 | 0.102449 | 0.068894 | 0.088884 | null | null | 0.090821 | null | null |
2021-08-13 00:00:00+00:00 | 0.10024 | 0.066418 | 0.085797 | null | null | 0.089804 | null | null |
2021-08-14 00:00:00+00:00 | 0.098827 | 0.064729 | 0.083331 | null | null | 0.090055 | null | null |
2021-08-15 00:00:00+00:00 | 0.09925 | 0.063824 | 0.082124 | null | null | null | null | null |
2021-08-16 00:00:00+00:00 | 0.097455 | 0.062316 | 0.079966 | null | null | null | null | null |
2021-08-17 00:00:00+00:00 | 0.098758 | 0.061446 | 0.078965 | null | null | null | null | null |
2021-08-18 00:00:00+00:00 | 0.180648 | 0.101204 | 0.134255 | null | null | null | null | null |
2021-08-19 00:00:00+00:00 | null | 0.131998 | 0.183768 | null | null | null | null | null |
2021-08-20 00:00:00+00:00 | 0.197855 | 0.128305 | 0.179382 | null | null | null | null | null |
2021-08-21 00:00:00+00:00 | 0.193431 | 0.125199 | 0.175993 | null | null | null | null | null |
2021-08-22 00:00:00+00:00 | 0.190459 | 0.12301 | 0.172798 | null | null | null | null | null |
2021-08-23 00:00:00+00:00 | 0.18598 | 0.121057 | 0.169102 | null | null | null | null | null |
2021-08-24 00:00:00+00:00 | 0.181527 | 0.118295 | 0.166065 | null | null | null | null | null |
2021-08-25 00:00:00+00:00 | 0.176906 | 0.115907 | 0.161813 | null | null | null | null | null |
2021-08-26 00:00:00+00:00 | 0.17145 | 0.112667 | 0.158163 | null | null | null | null | null |
2021-08-27 00:00:00+00:00 | 0.165977 | 0.110018 | 0.154255 | null | null | null | null | null |
2021-08-28 00:00:00+00:00 | 0.160267 | 0.107266 | 0.150116 | null | null | null | null | null |
2021-08-29 00:00:00+00:00 | 0.154915 | 0.104668 | 0.146255 | null | null | null | null | null |
2021-08-30 00:00:00+00:00 | 0.148584 | 0.10223 | 0.14236 | null | null | null | null | null |
2021-08-31 00:00:00+00:00 | 0.141049 | 0.09867 | 0.137149 | null | null | null | null | null |
2021-09-01 00:00:00+00:00 | 0.133242 | 0.094528 | 0.133192 | null | null | null | null | null |
2021-09-02 00:00:00+00:00 | 0.126637 | 0.090494 | 0.129949 | null | null | null | null | null |
2021-09-03 00:00:00+00:00 | 0.119572 | 0.086263 | 0.12629 | null | null | null | null | null |
2021-09-04 00:00:00+00:00 | 0.113618 | 0.082438 | 0.121893 | null | null | null | null | null |
2021-09-05 00:00:00+00:00 | 0.109593 | 0.079362 | 0.118521 | null | null | null | null | null |
2021-09-06 00:00:00+00:00 | 0.106867 | 0.077172 | 0.115774 | null | null | null | null | null |
2021-09-07 00:00:00+00:00 | 0.102901 | 0.07405 | 0.110412 | null | null | null | null | null |
2021-09-08 00:00:00+00:00 | 0.099843 | 0.071699 | 0.105793 | null | null | null | null | null |
2021-09-09 00:00:00+00:00 | 0.096423 | 0.068742 | 0.101466 | null | null | null | null | null |
2021-09-10 00:00:00+00:00 | 0.093873 | 0.066247 | 0.097161 | null | null | null | null | null |
2021-09-11 00:00:00+00:00 | 0.0928 | 0.064837 | 0.094181 | null | null | null | null | null |
2021-09-12 00:00:00+00:00 | 0.091163 | 0.063369 | 0.09165 | null | null | null | null | null |
2021-09-13 00:00:00+00:00 | 0.090571 | 0.062652 | 0.089092 | null | null | null | null | null |
2021-09-14 00:00:00+00:00 | 0.0907 | 0.062263 | 0.087318 | null | null | null | null | null |
2021-09-15 00:00:00+00:00 | 0.090478 | 0.061513 | 0.08518 | null | null | null | null | null |
2021-09-16 00:00:00+00:00 | 0.090225 | 0.060898 | 0.083488 | null | null | null | null | null |
2021-09-17 00:00:00+00:00 | 0.089809 | 0.060286 | 0.081917 | null | null | null | null | null |
2021-09-18 00:00:00+00:00 | 0.089419 | 0.059647 | 0.080369 | null | null | null | null | null |
2021-09-19 00:00:00+00:00 | 0.088992 | 0.059296 | 0.078904 | null | null | null | null | null |
2021-09-20 00:00:00+00:00 | 0.088629 | 0.058619 | 0.077606 | null | null | null | null | null |
2021-09-21 00:00:00+00:00 | 0.088002 | 0.058274 | 0.0759 | null | null | null | null | null |
2021-09-22 00:00:00+00:00 | 0.084779 | 0.056436 | 0.074283 | null | null | null | null | null |
2021-09-23 00:00:00+00:00 | 0.082909 | 0.068086 | 0.072299 | null | null | null | null | null |
2021-09-24 00:00:00+00:00 | 0.081589 | 0.054021 | 0.070963 | null | null | null | null | null |
2021-09-25 00:00:00+00:00 | 0.081561 | 0.053508 | 0.069983 | null | null | null | null | null |
2021-09-26 00:00:00+00:00 | 0.081887 | 0.053466 | 0.069149 | null | null | null | null | null |
2021-09-27 00:00:00+00:00 | 0.081738 | 0.053017 | 0.068585 | null | null | null | null | null |
2021-09-28 00:00:00+00:00 | 0.082281 | 0.052682 | 0.068089 | null | null | null | null | null |
2021-09-29 00:00:00+00:00 | 0.088951 | 0.052248 | 0.067811 | null | null | null | null | null |
2021-09-30 00:00:00+00:00 | 0.086515 | 0.052446 | 0.067878 | null | null | null | null | null |
2021-10-01 00:00:00+00:00 | 0.085562 | 0.052046 | 0.067497 | null | null | null | null | null |
2021-10-02 00:00:00+00:00 | 0.085347 | 0.05193 | 0.082404 | null | null | null | null | null |
2021-10-03 00:00:00+00:00 | 0.0839 | 0.051432 | 0.066703 | null | null | null | null | null |
2021-10-04 00:00:00+00:00 | 0.082543 | 0.050769 | 0.066004 | null | null | null | null | null |
2021-10-05 00:00:00+00:00 | 0.081337 | 0.050194 | 0.06526 | null | null | null | null | null |
2021-10-06 00:00:00+00:00 | 0.080592 | 0.049704 | 0.064554 | null | null | null | null | null |
2021-10-07 00:00:00+00:00 | 0.080551 | 0.04962 | 0.064207 | null | null | null | null | null |
2021-10-08 00:00:00+00:00 | 0.081709 | 0.050008 | 0.078781 | null | null | null | null | null |
End of preview.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
NEON CLBJ Data
TL;DR
This repo downloads and stores sensor data from the NSF NEON (National Ecological Observatory Network) network for the CLBJ site (Lyndon B. Johnson National Grassland, TX). Four scripts pull three different kinds of NEON/NEON-adjacent data:
| Script | Source | Data |
|---|---|---|
scripts/download_neon_product.py |
NEON /data API (neonutilities.load_by_product) |
any single CSV-tabular sensor product |
scripts/download_all_products.py |
same, looped | all 11 cataloged sensor products at once |
scripts/download_phenocam_gcc.py |
PhenoCam Network (phenocam.nau.edu) | daily GCC greenness summaries, 2 CLBJ cameras |
scripts/download_eddy_covariance.py |
NEON /data API (neonutilities.zips_by_product + stack_eddy) |
bundled eddy covariance / NEE flux data |
Which product maps to which folder/table/interval is defined in
metadata/sensor_catalog.yaml, not hardcoded in any script. A Python 3.12
virtualenv (.venv/) is already set up with dependencies installed
(note: pandas is pinned to <3 — see Known issues).
You need a free NEON API token (env var NEON_API_TOKEN) for anything
going through NEON's own API (not needed for the PhenoCam script) — NEON has
rejected anonymous /data requests since a June 2026 policy change.
Current data status: all 11 NEON sensor products and both PhenoCam
cameras have been pulled for the last 5 years (2021-07 through 2026-07).
Eddy covariance (DP4.00200.001) is cataloged and its script works
(verified on a 1-month test pull), but the full 5-year pull was started and
then cancelled partway through (11/48 available months downloaded, ~1.1GB)
because the total size (6.2GB) was more than wanted at the time —
raw/eddy_covariance/ is currently empty. See
Data currently on hand for full details,
including a site-wide 13-month data gap (2025-07 through 2026-07) found
across every sensor product.
Repo layout
neon_CLBJ/
├── README.md # this file
├── .venv/ # Python 3.12 virtualenv (already set up; pandas<3, see below)
├── scripts/
│ ├── download_neon_product.py # single-product downloader via NEON /data API
│ ├── download_all_products.py # loops download_neon_product's download_one() over
│ │ # every catalog product; prints a final summary table
│ ├── download_phenocam_gcc.py # daily GCC summaries from the PhenoCam Network (no token needed)
│ ├── download_eddy_covariance.py # DP4.00200.001 HDF5 download + stack_eddy() + QC filter
│ ├── requirements.txt # neonutilities, pyyaml, pandas<3, requests
│ ├── _check_env.sh # internal one-off validation script (see Security note)
│ └── _check_env.py # stub, currently just exits 1
├── metadata/
│ ├── sensor_catalog.yaml # product catalog: alias -> id/folder/table/interval/notes
│ └── README.md # folder-to-product mapping + pull history/notes
├── raw/ # one subfolder per product, holds combined CSVs
│ ├── air_temperature/ # DP1.00002.001 -- HAS DATA (two files, see note below)
│ ├── soil_moisture/ # DP1.00094.001 -- HAS DATA
│ ├── soil_temperature/ # DP1.00041.001 -- HAS DATA
│ ├── precipitation/ # DP1.00044.001 -- HAS DATA
│ ├── radiation/ # DP1.00023.001 + DP1.00024.001 -- HAS DATA
│ ├── humidity/ # DP1.00098.001 -- HAS DATA
│ ├── pressure/ # DP1.00004.001 -- HAS DATA
│ ├── wind/ # DP1.00001.001 -- HAS DATA
│ ├── soil_heat_flux/ # DP1.00040.001 -- HAS DATA
│ ├── soil_co2/ # DP1.00095.001 -- HAS DATA
│ ├── phenocam/
│ │ ├── understory/ # NEON.D11.CLBJ.DP1.00042 (ROI UN_1000) -- HAS DATA
│ │ └── canopy/ # NEON.D11.CLBJ.DP1.00033 (ROI DB_1000+2000+3000 stitched) -- HAS DATA
│ └── eddy_covariance/ # DP4.00200.001 -- EMPTY (pull cancelled partway through, see above)
└── processed/ # empty; for derived/analysis outputs you create
# from raw/ (not written to by any script)
Detailed guide
1. Setup
A virtualenv already exists at .venv/ with everything installed. To use it:
cd ~/neon_CLBJ
source .venv/bin/activate
If you ever need to rebuild it from scratch:
python3 -m venv .venv
source .venv/bin/activate
pip install -r scripts/requirements.txt
Dependencies (scripts/requirements.txt): neonutilities>=2.0.1,
pyyaml>=6.0, pandas<3, requests>=2.0. The pandas<3 pin is required —
see Known issues.
2. Getting a NEON API token (required for NEON API scripts)
Since a June 2026 NEON policy change, the /data endpoint rejects
anonymous requests outright (403 Access Denied). Metadata endpoints like
/products and /sites still work without a token, but any actual data
pull through download_neon_product.py, download_all_products.py, or
download_eddy_covariance.py needs one. download_phenocam_gcc.py does
not need a token — it pulls from phenocam.nau.edu's own open archive,
a separate system from NEON's API.
- Create a free account at https://data.neonscience.org/
- Generate an API token from your account page.
- Set it in your shell before running any NEON-API script:
export NEON_API_TOKEN=<your token>
(or pass --token <your token> directly to the script). Never commit a
token to this repo — there is currently no .gitignore, so be careful if
you ever git init this project.
3. Downloading data
Single product, last N years (e.g. 5 years of air temp):
python3 scripts/download_neon_product.py --site CLBJ --product air_temperature --years-back 5
Single product, explicit date range:
python3 scripts/download_neon_product.py --site CLBJ --product soil_moisture \
--start 2022-01 --end 2023-12
Ad hoc product not yet in the catalog (all three overrides required):
python3 scripts/download_neon_product.py --site CLBJ --product DP1.20288.001 \
--outdir ../raw/water_quality --file-match waq_instantaneous --interval-min 1
Add a catalog entry instead if you'll need an ad hoc product again.
All 11 NEON sensor products at once, each at its catalog-native interval, last 5 years:
python3 scripts/download_all_products.py --site CLBJ --years-back 5
Prints per-product/per-month progress, continues past any single product failing, and ends with a summary table of rows/coverage/missing-months per product.
PhenoCam daily GCC summaries (both CLBJ cameras, no token needed):
python3 scripts/download_phenocam_gcc.py --years-back 5
Eddy covariance / NEE flux data (large — see Known issues before running):
python3 scripts/download_eddy_covariance.py --site CLBJ --years-back 5
Output: one combined CSV per pull, written to the product's raw/ folder,
generally named:
<SITE>_<product_shortname>_<start>_<end>.csv
e.g. CLBJ_air_temperature_2021-07_2026-07.csv (NEON sensor products, month
granularity) or CLBJ_phenocam_understory_2021-07-22_2026-07-22.csv
(PhenoCam, day granularity).
4. Product catalog (metadata/sensor_catalog.yaml)
Every entry maps an alias (or the raw product id) to a folder and enough detail to redownload it. Fields vary slightly by source:
| Field | Meaning | Used by |
|---|---|---|
id |
NEON product code (DP#.#####.###), or a PhenoCam Network site name for PhenoCam entries |
all |
aliases |
short CLI names for the product | all |
folder |
raw/ subfolder the combined CSV is written to |
all |
data_type |
human-readable description (NEON sensor entries) or format tag (csv, hdf5_eddy — PhenoCam/eddy entries) |
all |
file_match |
NEON: which neonutilities-stacked table holds the readings. PhenoCam: URL filename template |
download_neon_product.py, download_phenocam_gcc.py |
interval_min |
native averaging interval in minutes, passed to neonutilities as timeindex |
download_neon_product.py |
source / base_url / roi / rois |
PhenoCam-specific: marks it as non-NEON-API, the archive base URL, and the region-of-interest code(s) | download_phenocam_gcc.py |
priority |
PhenoCam-specific (primary/secondary), documents relative relevance |
(informational) |
notes |
anything non-obvious (deprecations, quirks, bugs found) | all |
Currently cataloged products:
| Alias | ID | Folder | Interval | Source |
|---|---|---|---|---|
air_temperature |
DP1.00002.001 | raw/air_temperature |
30 min | NEON API |
soil_moisture |
DP1.00094.001 | raw/soil_moisture |
30 min | NEON API |
soil_temperature |
DP1.00041.001 | raw/soil_temperature |
30 min | NEON API |
precipitation |
DP1.00044.001 | raw/precipitation |
60 min | NEON API |
radiation_net |
DP1.00023.001 | raw/radiation |
30 min | NEON API |
radiation_par |
DP1.00024.001 | raw/radiation |
30 min | NEON API |
relative_humidity |
DP1.00098.001 | raw/humidity |
30 min | NEON API |
barometric_pressure |
DP1.00004.001 | raw/pressure |
30 min | NEON API |
wind |
DP1.00001.001 | raw/wind |
30 min | NEON API |
soil_heat_flux |
DP1.00040.001 | raw/soil_heat_flux |
30 min | NEON API |
soil_co2 |
DP1.00095.001 | raw/soil_co2 |
30 min | NEON API |
phenocam_understory |
NEON.D11.CLBJ.DP1.00042 (ROI UN_1000) | raw/phenocam/understory |
daily | PhenoCam Network |
phenocam_canopy |
NEON.D11.CLBJ.DP1.00033 (ROI DB_1000/2000/3000) | raw/phenocam/canopy |
daily | PhenoCam Network |
eddy covariance / NEE |
DP4.00200.001 | raw/eddy_covariance |
30 min (dp04) | NEON API |
To add a new product, add an entry to metadata/sensor_catalog.yaml
with the relevant fields above before pulling it — don't hardcode product
details into a script. See metadata/sensor_catalog.yaml's inline comments
and per-entry notes for the full detail behind every quirk summarized
below.
5. Data currently on hand
All figures below are from the actual pulls run in this repo; see
metadata/README.md for the full per-product table.
11 NEON sensor products — all pulled 2021-07 through 2026-07 (basic package, catalog-native interval):
| Product | Rows | Coverage end | Missing months |
|---|---|---|---|
| air_temperature (new pull) | 280,512 | 2025-06-30 | 13 |
| air_temperature (older pull, pre-existing) | 350,592 | 2026-06-30 | 1 |
| soil_moisture | 2,805,120 | 2025-06-30 | 13 |
| soil_temperature | 3,155,760 | 2025-06-30 | 13 |
| relative_humidity | 140,256 | 2025-06-30 | 13 |
| barometric_pressure | 70,128 | 2025-06-30 | 13 |
| precipitation | 35,064 | 2025-06-30 (60-min) | 13 |
| wind | 280,512 | 2025-06-30 | 13 |
| radiation_net | 140,256 | 2025-06-30 | 13 |
| radiation_par | 350,640 | 2025-06-30 | 13 |
| soil_heat_flux | 210,384 | 2025-06-30 | 13 |
| soil_co2 | 1,051,920 | 2025-06-30 | 13 |
⚠️ Two air_temperature files exist in raw/air_temperature/ —
CLBJ_airtemp_2021-07_2026-07.csv (350,592 rows, coverage through
2026-06-30, only 1 month missing — this predates this session) and
CLBJ_air_temperature_2021-07_2026-07.csv (280,512 rows, coverage through
2025-06-30, 13 months missing — from today's bulk re-pull). Same product,
same requested range, different actual coverage: this means NEON's
published air-temperature data for CLBJ between the two pull dates either
had 12 months withdrawn, or the earlier file was pulled before whatever
caused the current gap. Not resolved — decide which file to keep/trust
before analysis, and see the gap note below.
2 PhenoCam cameras — daily GCC (green chromatic coordinate) summaries, last 5 years:
| Camera | Rows | Coverage | Gaps |
|---|---|---|---|
| understory (UN_1000) | 1,827 | 2021-07-22 → 2026-07-22 | none ≥14 days |
| canopy (DB_1000+2000+3000 stitched) | 1,812 | 2021-07-13 → 2026-07-13 | 1 gap, 2024-01-09 → 2024-01-23 (15 days — real ROI hand-off gap in the archive, not a download bug) |
Eddy covariance (DP4.00200.001) — raw/eddy_covariance/ is empty.
The script works (verified on a 1-month CLBJ test pull: 1,440 rows, 36
columns, stack_eddy output as expected), but the full 5-year run
(estimated ~9.6GB, NEON's own size check said ~6.2GB for the 48 of 61
requested months it had non-provisional data for) was cancelled partway
through — see Known issues.
6. Known issues and gotchas
- Site-wide 13-month data gap (2025-07 through 2026-07). Every one of the 11 NEON sensor products pulled today is independently missing the exact same 13 months. This is not normal ~1-month publication lag — it points to CLBJ data publication stopping site-wide around mid-2025, or an ongoing tower outage. Worth checking NEON's site status/data availability calendar for CLBJ before treating any of this as a clean, continuous 5-year dataset. See the duplicate air_temperature file note above — the older pre-existing pull did not have this gap, meaning it emerged (or data was withdrawn) sometime after that earlier pull.
neonutilities2.0.1 vspandas3.0 incompatibility.stack_eddy()(used only bydownload_eddy_covariance.py) calls adrop(columns=..., axis=1)pattern that pandas 3.0 rejects outright withValueError: Cannot specify both 'axis' and 'index'/'columns'. No newerneonutilitiesrelease fixes this as of 2026-07-23. Fixed here by pinningpandas<3inscripts/requirements.txtand downgrading the installed venv from 3.0.5 to 2.3.3 — the other scripts' pandas usage (read_csv/groupby/to_csv) is stable across that range.- Eddy covariance size. NEON's own docs cite
1GB per 2 site-months; a measured CLBJ test pull ran closer to ~130-150MB/month. Either way, 5 years at one site is multiple GB (6.2GB actual per NEON's size check for the 48 available months) — much larger than every other product here.download_eddy_covariance.pyprints an estimate and available disk space before downloading anything and aborts if the estimate would exceed 90% of free space, but the full run was still cancelled by request partway through (~11/48 months, ~1.1GB, cleaned up from/tmp). - Eddy covariance QC flags. The stacked
dp04table has 11 separate final-QC columns (qfqm.flux<Var>.<stage>.qfFinl), not one flatqfFinlcolumn.download_eddy_covariance.pyfilters only onqfqm.fluxCo2.nsae.qfFinl == 0(the flag specific to Net Ecosystem Exchange) and leaves the other 10 untouched — apply further filtering yourself for QC'd H2O/temperature/momentum flux values. Seemetadata/sensor_catalog.yaml'sDP4.00200.001notes for the full reasoning. soil_co2's real stacked table name isSCO2C_30_minute, notSCO2C_30min— caught by the "table not found" error path indownload_one(), not guessed correctly on the first attempt.wind(DP1.00001.001) returns speed and direction in the same stacked table (2DWSD_30min) — no separate product/table for each.precipitationusesDP1.00044.001(weighing gauge), not the deprecatedDP1.00006.001— seemetadata/sensor_catalog.yamlnotes. It only publishes at 60-minute/daily resolution, not 30-minute.- PhenoCam canopy camera (
DP1.00033) has no single stable ROI. Its field-of-view was redefined twice, producing three sequential, non-overlapping series (DB_10002017→2017-12,DB_20002017-12→2024-01,DB_30002024-01→present).download_phenocam_gcc.pystitches all three chronologically; a single ROI alone would silently truncate the requested window. - PhenoCam ROI codes and coverage dates must be verified live, not
assumed from the site code or older docs — the
phenocam.nau.eduarchive is actively updated and ROI codes are per-camera, not simply the NEON site code.
7. File naming conventions
NEON sensor product CSVs:
<SITE>_<product_shortname>_<start_YYYY-MM>_<end_YYYY-MM>.csv
e.g. CLBJ_air_temperature_2021-07_2026-07.csv.
PhenoCam CSVs (day granularity, not month):
<SITE>_<alias>_<start_YYYY-MM-DD>_<end_YYYY-MM-DD>.csv
e.g. CLBJ_phenocam_understory_2021-07-22_2026-07-22.csv.
Raw source files from NEON (before this script concatenates them) follow NEON's own convention:
NEON.DOM.SITE.DPL.PRNUM.REV.HOR.VER.TMI.NAME.yyyy-mm.PKGTYPE.GENTIME.csv
e.g. NEON.D11.CLBJ.DP1.00002.001.000.010.030.SAAT_30min.2021-07.basic.20230220T171815Z.csv
HOR/VER= horizontal/vertical sensor position codesTMI= temporal (averaging) index, e.g.030= 30-minutePKGTYPE= data package (basicvsexpanded)GENTIME= file generation timestamp
8. Important gotcha: tower heights (verticalPosition)
NEON does not repeat the sensor position in the CSV's own data columns —
it's only encoded in the source file name (the VER field above). Since one
month/product pull returns one file per tower height, the download script
parses HOR/VER out of each file name and adds them as
horizontalPosition / verticalPosition columns before concatenating. For
CLBJ air temperature, verticalPosition takes values 010, 020, 030,
040 (four measurement heights, 010 = lowest, 040 = highest). Soil products
(moisture, temperature, CO2) instead use horizontalPosition for the 5 soil
sensor array locations and verticalPosition for depth (8 depths, 501-
508, not simply "5 sites/5 depths"). Always filter or group by
horizontalPosition/verticalPosition before any time-series analysis —
otherwise readings from different locations/heights/depths get mixed
together.
9. scripts/_check_env.sh / _check_env.py
Internal one-off scripts used to validate the environment/token setup while
building this project. _check_env.py is currently just a stub
(sys.exit(1)). _check_env.sh expects NEON_API_TOKEN to already be set
in your environment (it errors out if it isn't) — it does not set one
itself.
10. Security note
A previous version of _check_env.sh had a live API token hardcoded in it.
It has been removed from the script (never pushed to any remote), but since
it sat in a plaintext file on disk, consider rotating that token at
https://data.neonscience.org/ out of caution. .gitignore excludes
.venv/, __pycache__/, and other local-only files — never commit a real
token to this repo.
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