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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 36 new columns ({'data.fluxH2o.stor.flux', 'qfqm.fluxH2o.nsae.qfFinl', 'data.foot.stat.distXaxs90', 'data.foot.stat.distZaxsAbl', 'qfqm.fluxCo2.stor.qfFinl', 'data.foot.stat.distXaxsMax', 'qfqm.fluxH2o.stor.qfFinl', 'data.foot.stat.distZaxsMeasDisp', 'data.fluxTemp.turb.flux', 'qfqm.fluxH2o.turb.qfFinl', 'data.fluxCo2.turb.flux', 'data.foot.stat.veloYaxsHorSd', 'qfqm.fluxCo2.turb.qfFinl', 'data.foot.stat.paraStbl', 'data.fluxCo2.nsae.flux', 'qfqm.foot.turb.qfFinl', 'data.fluxTemp.nsae.flux', 'data.foot.stat.distObkv', 'data.foot.stat.angZaxsErth', 'data.fluxH2o.turb.flux', 'data.fluxTemp.stor.flux', 'timeBgn', 'data.foot.stat.veloZaxsHorSd', 'qfqm.fluxMome.turb.qfFinl', 'qfqm.fluxCo2.nsae.qfFinl', 'data.foot.stat.veloFric', 'data.foot.stat.distYaxs90', 'qfqm.fluxTemp.stor.qfFinl', 'data.foot.stat.distZaxsRgh', 'data.fluxMome.turb.veloFric', 'data.fluxH2o.nsae.flux', 'qfqm.fluxTemp.nsae.qfFinl', 'data.fluxCo2.stor.flux', 'timeEnd', 'data.foot.stat.distReso', 'qfqm.fluxTemp.turb.qfFinl'}) and 16 missing columns ({'domainID', 'tempSingleMaximum', 'tempSingleVariance', 'tempSingleMean', 'siteID', 'publicationDate', 'finalQF', 'tempSingleNumPts', 'release', 'tempSingleMinimum', 'endDateTime', 'startDateTime', 'horizontalPosition', 'tempSingleExpUncert', 'tempSingleStdErMean', 'verticalPosition'}).

This happened while the csv dataset builder was generating data using

hf://datasets/johnnybwell/neon_OSBS/raw/eddy_covariance/OSBS_eddy_covariance_2017-03_2026-08.csv (at revision d1cd507df0b8a73afb1d253bbdec99e595e4c1e6), ['hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/air_temperature/OSBS_air_temperature_2014-08_2026-08.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/eddy_covariance/OSBS_eddy_covariance_2017-03_2026-08.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/humidity/OSBS_relative_humidity_2015-06_2026-08.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/phenocam/canopy/OSBS_phenocam_canopy_2016-12-15_2026-10-04.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/phenocam/understory/OSBS_phenocam_understory_2016-12-14_2026-10-04.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/precipitation/OSBS_precipitation_2016-09_2026-08.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/pressure/OSBS_barometric_pressure_2014-08_2026-08.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/radiation/OSBS_radiation_net_2014-08_2026-08.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/radiation/OSBS_radiation_par_2014-08_2026-08.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/soil_co2/OSBS_soil_co2_2016-11_2026-08.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/soil_heat_flux/OSBS_soil_heat_flux_2016-09_2026-08.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/soil_moisture/OSBS_soil_moisture_2016-09_2026-08.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/soil_temperature/OSBS_soil_temperature_2016-09_2026-08.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/wind/OSBS_wind_2014-08_2026-08.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 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 784, 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 795, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              timeBgn: string
              timeEnd: string
              data.fluxCo2.nsae.flux: double
              data.fluxCo2.stor.flux: double
              data.fluxCo2.turb.flux: double
              data.fluxH2o.nsae.flux: double
              data.fluxH2o.stor.flux: double
              data.fluxH2o.turb.flux: double
              data.fluxMome.turb.veloFric: double
              data.fluxTemp.nsae.flux: double
              data.fluxTemp.stor.flux: double
              data.fluxTemp.turb.flux: double
              data.foot.stat.angZaxsErth: double
              data.foot.stat.distReso: double
              data.foot.stat.veloYaxsHorSd: double
              data.foot.stat.veloZaxsHorSd: double
              data.foot.stat.veloFric: double
              data.foot.stat.distZaxsMeasDisp: double
              data.foot.stat.distZaxsRgh: double
              data.foot.stat.distObkv: double
              data.foot.stat.paraStbl: double
              data.foot.stat.distZaxsAbl: double
              data.foot.stat.distXaxs90: double
              data.foot.stat.distXaxsMax: double
              data.foot.stat.distYaxs90: double
              qfqm.fluxCo2.nsae.qfFinl: double
              qfqm.fluxCo2.stor.qfFinl: double
              qfqm.fluxCo2.turb.qfFinl: double
              qfqm.fluxH2o.nsae.qfFinl: double
              qfqm.fluxH2o.stor.qfFinl: double
              qfqm.fluxH2o.turb.qfFinl: double
              qfqm.fluxMome.turb.qfFinl: double
              qfqm.fluxTemp.nsae.qfFinl: double
              qfqm.fluxTemp.stor.qfFinl: double
              qfqm.fluxTemp.turb.qfFinl: double
              qfqm.foot.turb.qfFinl: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 5595
              to
              {'domainID': Value('string'), 'siteID': Value('string'), 'horizontalPosition': Value('int64'), 'verticalPosition': Value('int64'), 'startDateTime': Value('string'), 'endDateTime': Value('string'), 'tempSingleMean': Value('float64'), 'tempSingleMinimum': Value('float64'), 'tempSingleMaximum': Value('float64'), 'tempSingleVariance': Value('float64'), 'tempSingleNumPts': Value('float64'), 'tempSingleExpUncert': Value('float64'), 'tempSingleStdErMean': Value('float64'), 'finalQF': Value('int64'), 'publicationDate': Value('string'), 'release': Value('string')}
              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 1694, 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 1850, 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 36 new columns ({'data.fluxH2o.stor.flux', 'qfqm.fluxH2o.nsae.qfFinl', 'data.foot.stat.distXaxs90', 'data.foot.stat.distZaxsAbl', 'qfqm.fluxCo2.stor.qfFinl', 'data.foot.stat.distXaxsMax', 'qfqm.fluxH2o.stor.qfFinl', 'data.foot.stat.distZaxsMeasDisp', 'data.fluxTemp.turb.flux', 'qfqm.fluxH2o.turb.qfFinl', 'data.fluxCo2.turb.flux', 'data.foot.stat.veloYaxsHorSd', 'qfqm.fluxCo2.turb.qfFinl', 'data.foot.stat.paraStbl', 'data.fluxCo2.nsae.flux', 'qfqm.foot.turb.qfFinl', 'data.fluxTemp.nsae.flux', 'data.foot.stat.distObkv', 'data.foot.stat.angZaxsErth', 'data.fluxH2o.turb.flux', 'data.fluxTemp.stor.flux', 'timeBgn', 'data.foot.stat.veloZaxsHorSd', 'qfqm.fluxMome.turb.qfFinl', 'qfqm.fluxCo2.nsae.qfFinl', 'data.foot.stat.veloFric', 'data.foot.stat.distYaxs90', 'qfqm.fluxTemp.stor.qfFinl', 'data.foot.stat.distZaxsRgh', 'data.fluxMome.turb.veloFric', 'data.fluxH2o.nsae.flux', 'qfqm.fluxTemp.nsae.qfFinl', 'data.fluxCo2.stor.flux', 'timeEnd', 'data.foot.stat.distReso', 'qfqm.fluxTemp.turb.qfFinl'}) and 16 missing columns ({'domainID', 'tempSingleMaximum', 'tempSingleVariance', 'tempSingleMean', 'siteID', 'publicationDate', 'finalQF', 'tempSingleNumPts', 'release', 'tempSingleMinimum', 'endDateTime', 'startDateTime', 'horizontalPosition', 'tempSingleExpUncert', 'tempSingleStdErMean', 'verticalPosition'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/johnnybwell/neon_OSBS/raw/eddy_covariance/OSBS_eddy_covariance_2017-03_2026-08.csv (at revision d1cd507df0b8a73afb1d253bbdec99e595e4c1e6), ['hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/air_temperature/OSBS_air_temperature_2014-08_2026-08.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/eddy_covariance/OSBS_eddy_covariance_2017-03_2026-08.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/humidity/OSBS_relative_humidity_2015-06_2026-08.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/phenocam/canopy/OSBS_phenocam_canopy_2016-12-15_2026-10-04.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/phenocam/understory/OSBS_phenocam_understory_2016-12-14_2026-10-04.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/precipitation/OSBS_precipitation_2016-09_2026-08.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/pressure/OSBS_barometric_pressure_2014-08_2026-08.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/radiation/OSBS_radiation_net_2014-08_2026-08.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/radiation/OSBS_radiation_par_2014-08_2026-08.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/soil_co2/OSBS_soil_co2_2016-11_2026-08.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/soil_heat_flux/OSBS_soil_heat_flux_2016-09_2026-08.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/soil_moisture/OSBS_soil_moisture_2016-09_2026-08.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/soil_temperature/OSBS_soil_temperature_2016-09_2026-08.csv', 'hf://datasets/johnnybwell/neon_OSBS@d1cd507df0b8a73afb1d253bbdec99e595e4c1e6/raw/wind/OSBS_wind_2014-08_2026-08.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.

domainID
string
siteID
string
horizontalPosition
int64
verticalPosition
int64
startDateTime
string
endDateTime
string
tempSingleMean
null
tempSingleMinimum
null
tempSingleMaximum
null
tempSingleVariance
null
tempSingleNumPts
null
tempSingleExpUncert
null
tempSingleStdErMean
null
finalQF
int64
publicationDate
string
release
string
D03
OSBS
0
10
2014-08-07 00:00:00+00:00
2014-08-07 00:30:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 00:30:00+00:00
2014-08-07 01:00:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 01:00:00+00:00
2014-08-07 01:30:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 01:30:00+00:00
2014-08-07 02:00:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 02:00:00+00:00
2014-08-07 02:30:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 02:30:00+00:00
2014-08-07 03:00:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 03:00:00+00:00
2014-08-07 03:30:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 03:30:00+00:00
2014-08-07 04:00:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 04:00:00+00:00
2014-08-07 04:30:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 04:30:00+00:00
2014-08-07 05:00:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 05:00:00+00:00
2014-08-07 05:30:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 05:30:00+00:00
2014-08-07 06:00:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 06:00:00+00:00
2014-08-07 06:30:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 06:30:00+00:00
2014-08-07 07:00:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 07:00:00+00:00
2014-08-07 07:30:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 07:30:00+00:00
2014-08-07 08:00:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 08:00:00+00:00
2014-08-07 08:30:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 08:30:00+00:00
2014-08-07 09:00:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 09:00:00+00:00
2014-08-07 09:30:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 09:30:00+00:00
2014-08-07 10:00:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 10:00:00+00:00
2014-08-07 10:30:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 10:30:00+00:00
2014-08-07 11:00:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 11:00:00+00:00
2014-08-07 11:30:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 11:30:00+00:00
2014-08-07 12:00:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 12:00:00+00:00
2014-08-07 12:30:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 12:30:00+00:00
2014-08-07 13:00:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 13:00:00+00:00
2014-08-07 13:30:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 13:30:00+00:00
2014-08-07 14:00:00+00:00
null
null
null
null
null
null
null
1
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 14:00:00+00:00
2014-08-07 14:30:00+00:00
null
null
null
null
null
null
null
0
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 14:30:00+00:00
2014-08-07 15:00:00+00:00
null
null
null
null
null
null
null
0
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 15:00:00+00:00
2014-08-07 15:30:00+00:00
null
null
null
null
null
null
null
0
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 15:30:00+00:00
2014-08-07 16:00:00+00:00
null
null
null
null
null
null
null
0
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
2014-08-07 16:00:00+00:00
2014-08-07 16:30:00+00:00
null
null
null
null
null
null
null
0
20230202T222035Z
RELEASE-2026
D03
OSBS
0
10
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End of preview.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

NEON OSBS Data

TL;DR

This repo downloads and stores sensor data from the NSF NEON (National Ecological Observatory Network) network for the OSBS site (Ordway-Swisher Biological Station, FL, domain D03, Southeast). It's a sibling of neon_CPER and neon_CLBJ, reusing the same catalog-driven download architecture unchanged. Six 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, fixed --years-back window all 11 cataloged sensor products at once
scripts/download_full_history.py same, looped, each product's own true full-history range all 11 cataloged sensor products, no trailing-window guessing
scripts/neon_site_availability.py NEON /sites metadata API (no token needed) per-product true earliest/latest available month for a site
scripts/download_phenocam_gcc.py PhenoCam Network (phenocam.nau.edu) daily GCC greenness summaries, OSBS's camera(s), --site-driven
scripts/download_eddy_covariance.py NEON /data API (neonutilities.zips_by_product + stack_eddy) bundled eddy covariance / NEE flux data
scripts/upload_to_huggingface.py HuggingFace Hub (huggingface_hub) pushes raw/ + metadata/ + this README to a HF dataset repo

Which product maps to which folder/table/interval is defined in metadata/sensor_catalog.yaml, not hardcoded in any script -- same as neon_CPER/neon_CLBJ. You need a free NEON API token (env var NEON_API_TOKEN) for anything going through NEON's own /data API (not needed for the PhenoCam script or neon_site_availability.py, which only hits NEON's open /sites metadata endpoint).

Current data status: all 11 sensor products, both PhenoCam series, and eddy covariance have been downloaded (~3.1 GB sensor data, ~1.8 MB PhenoCam, 14 MB final eddy covariance CSV -- pulled 2026-10-05, see Data currently on hand below for the real per-product numbers). processed/ is still empty. The eddy covariance pull hit a genuine schema-incompatibility bug on one month (2017-02, produced under an older NEON processing revision) that crashes neonutilities's stack_eddy() -- worked around by excluding that one file; see Known issues below.

OSBS's own PhenoCam ROI structure turned out to be noticeably more complex than CPER's or CLBJ's (9 and 6 ROI codes vs. 1-4) -- live verification (direct CSV parsing, 2026-10-05) found the semantically obvious pick (UN_0001, matching CLBJ's naming) is actually the wrong one: it's a short series retired in 2018, not the long-running camera. GR_1000+GR_2000 (stitched) is used instead -- see Product catalog below.

Like neon_CPER (not neon_CLBJ), this repo's goal is full available history per product, not a trailing window.


Repo layout

neon_OSBS/
β”œβ”€β”€ README.md                  # this file
β”œβ”€β”€ .gitignore                 # excludes .venv/, raw/, __pycache__/, etc. (copied from neon_CPER)
β”œβ”€β”€ scripts/
β”‚   β”œβ”€β”€ download_neon_product.py     # single-product downloader via NEON /data API (COPIED UNCHANGED from neon_CPER)
β”‚   β”œβ”€β”€ download_all_products.py     # loops download_one() over every catalog product, fixed --years-back (COPIED UNCHANGED)
β”‚   β”œβ”€β”€ download_full_history.py     # same loop, each product's own true full-history --start/--end (COPIED UNCHANGED)
β”‚   β”œβ”€β”€ neon_site_availability.py    # looks up each product's true available date range for a site, no token (COPIED UNCHANGED)
β”‚   β”œβ”€β”€ download_phenocam_gcc.py     # --site-driven PhenoCam downloader, catalog-lookup (COPIED UNCHANGED)
β”‚   β”œβ”€β”€ download_eddy_covariance.py  # DP4.00200.001 HDF5 download + stack_eddy() + QC filter (COPIED UNCHANGED)
β”‚   β”œβ”€β”€ upload_to_huggingface.py     # NEW: pushes raw/ + metadata/ + README.md to a HF dataset repo
β”‚   └── requirements.txt             # neonutilities, pyyaml, pandas<3, requests, huggingface_hub
β”œβ”€β”€ metadata/
β”‚   β”œβ”€β”€ sensor_catalog.yaml    # product catalog: 11 core sensor products + eddy covariance, copied unchanged
β”‚   β”‚                          #   from neon_CPER; PhenoCam entries are OSBS-specific and UNVERIFIED, see notes
β”‚   └── README.md              # folder-to-product mapping + OSBS-specific findings/caveats (this repo's version)
β”œβ”€β”€ raw/                       # one subfolder per product -- all 11 sensor products + both PhenoCam series pulled (2026-10-05)
β”‚   β”œβ”€β”€ air_temperature/       # DP1.00002.001 -- HAS DATA
β”‚   β”œβ”€β”€ soil_moisture/         # DP1.00094.001 -- HAS DATA
β”‚   β”œβ”€β”€ soil_temperature/      # DP1.00041.001 -- HAS DATA
β”‚   β”œβ”€β”€ precipitation/         # DP1.00044.001 -- HAS DATA
β”‚   β”œβ”€β”€ radiation/             # DP1.00023.001 + DP1.00024.001 -- HAS DATA
β”‚   β”œβ”€β”€ humidity/              # DP1.00098.001 -- HAS DATA
β”‚   β”œβ”€β”€ pressure/              # DP1.00004.001 -- HAS DATA
β”‚   β”œβ”€β”€ wind/                  # DP1.00001.001 -- HAS DATA
β”‚   β”œβ”€β”€ soil_heat_flux/        # DP1.00040.001 -- HAS DATA
β”‚   β”œβ”€β”€ soil_co2/              # DP1.00095.001 -- HAS DATA
β”‚   β”œβ”€β”€ phenocam/
β”‚   β”‚   β”œβ”€β”€ understory/        # NEON.D03.OSBS.DP1.00042 (ROIs GR_1000+GR_2000 stitched -- HAS DATA)
β”‚   β”‚   └── canopy/            # NEON.D03.OSBS.DP1.00033 (ROIs EN_1000+EN_2000 stitched -- HAS DATA)
β”‚   └── eddy_covariance/       # DP4.00200.001 -- HAS DATA (100/101 site-months; 2017-02 excluded, schema bug)
└── processed/                 # empty; for derived/analysis outputs you create from raw/ (not written to by any script)

Detailed guide

1. Setup

cd ~/projects/neon_OSBS
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, huggingface_hub>=0.25.0. The pandas<3 pin is required -- stack_eddy() (used only by download_eddy_covariance.py) calls a drop(columns=..., axis=1) pattern that pandas 3.0 rejects outright.

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 -- that includes neon_site_availability.py -- but any actual data pull through download_neon_product.py, download_all_products.py, download_full_history.py, or download_eddy_covariance.py needs one. download_phenocam_gcc.py does not need a token either -- it pulls from phenocam.nau.edu's own open archive, a separate system from NEON's API.

  1. Create a free account at https://data.neonscience.org/
  2. Generate an API token from your account page.
  3. Set it in your shell before running any NEON-API script:
export NEON_API_TOKEN=<your token>

(or pass --token <your token> directly to any script that needs it). Never commit a token to this repo.

3. Downloading data

Step 0 -- check per-product availability for OSBS first (no token, no download):

python3 scripts/neon_site_availability.py --site OSBS

This prints each of the 11 core products' + eddy covariance's true available start_ym -> end_ym, straight from NEON's /sites metadata. Run 2026-10-05, OSBS has no missing products and no internal gaps -- every one of the 11 sensor products plus eddy covariance is listed:

Alias ID Available range
wind DP1.00001.001 2014-08 -> 2026-08
air_temperature DP1.00002.001 2014-08 -> 2026-08
barometric_pressure DP1.00004.001 2014-08 -> 2026-08
radiation_net DP1.00023.001 2014-08 -> 2026-08
radiation_par DP1.00024.001 2014-08 -> 2026-08
soil_heat_flux DP1.00040.001 2016-09 -> 2026-08
soil_temperature DP1.00041.001 2016-09 -> 2026-08
precipitation DP1.00044.001 2016-09 -> 2026-08
soil_moisture DP1.00094.001 2016-09 -> 2026-08
soil_co2 DP1.00095.001 2016-11 -> 2026-08
relative_humidity DP1.00098.001 2015-06 -> 2026-08
eddy covariance DP4.00200.001 2017-02 -> 2026-08

Re-run this yourself before a real pull if time has passed, since NEON's published range can advance.

Step 1 -- single-product test pull (confirm token + site code work before anything larger):

python3 scripts/download_neon_product.py --site OSBS --product air_temperature --start 2024-01 --end 2024-03

Step 2 -- all 11 sensor products, full available history per product:

python3 scripts/download_full_history.py --site OSBS

(download_all_products.py --site OSBS --years-back N also works, for a fixed trailing window instead of full history.)

Step 3 -- eddy covariance, as its own separate, manually-confirmed step (potentially large -- check the size estimate first):

python3 scripts/neon_site_availability.py --site OSBS   # DP4.00200.001: 2017-02 -> 2026-08 (confirmed 2026-10-05)
python3 scripts/download_eddy_covariance.py --site OSBS --start 2017-02 --end 2026-08

download_eddy_covariance.py estimates total download size and checks free disk space before downloading anything, aborting if the estimate exceeds 90% of free space -- confirm the estimate it prints looks reasonable before letting it proceed. For OSBS specifically, this script's own stack_eddy() call will crash on the 2017-02 file (see Known issues) -- the script does not currently work around this automatically; the fix used here was manual (move that one file out of the staging dir, re-run stack_eddy() on the rest). If re-running this pull from scratch, expect to repeat that workaround.

Step 4 -- PhenoCam, always run separately from the above (no token needed):

python3 scripts/download_phenocam_gcc.py --site OSBS --full-history

Before running this, read metadata/README.md's PhenoCam section -- OSBS has 9 canopy ROI codes and 6 understory ROI codes (vs. CPER's 1-4). These have now been verified live (direct CSV parse, 2026-10-05): the catalog uses EN_1000+EN_2000 (canopy) and GR_1000+GR_2000 (understory), stitched chronologically -- notably UN_0001, the semantically obvious name match for "understory," turned out to be the wrong pick (a short series retired in 2018).

4. Product catalog (metadata/sensor_catalog.yaml)

Catalog structure and the 11 core sensor product entries + the DP4.00200.001 eddy covariance entry are copied unchanged from neon_CPER (NEON product catalog entries aren't site-specific -- --site is passed at download time). The two PhenoCam entries are OSBS-specific and have been verified live (direct CSV parse) -- see metadata/README.md for the full detail, including why UN_0001 was rejected in favor of GR_1000+GR_2000.

5. Data currently on hand

All 11 sensor products and both PhenoCam series have been pulled (2026-10-05), via download_full_history.py (plus individual retries for 5 products that hit transient rate-limiting) and download_phenocam_gcc.py --full-history.

11 NEON sensor products, basic package, ~3.1 GB total. Every product was requested through 2026-08 but the actual pulled data stops at 2025-06-30 in every case -- neonutilities excludes NEON's most recent ~13-14 months as unreviewed "provisional" data by default. This is uniform across all 11 products, not a per-product gap:

Product dpid rows size coverage
air_temperature DP1.00002.001 955,440 136M 2014-08-07 -> 2025-06-30
soil_moisture DP1.00094.001 6,151,680 1.1G 2016-09-22 -> 2025-06-30
soil_temperature DP1.00041.001 6,920,640 996M 2016-09-22 -> 2025-06-30
relative_humidity DP1.00098.001 339,696 72M 2015-06-08 -> 2025-06-30
barometric_pressure DP1.00004.001 191,376 32M 2014-08-01 -> 2025-06-30
precipitation DP1.00044.001 76,800 8.1M 2016-09-26 -> 2025-06-30
wind DP1.00001.001 955,440 151M 2014-08-07 -> 2025-06-30
radiation_net DP1.00023.001 382,176 83M 2014-08-07 -> 2025-06-30
radiation_par DP1.00024.001 1,146,816 169M 2014-08-01 -> 2025-06-30
soil_heat_flux DP1.00040.001 461,376 64M 2016-09-22 -> 2025-06-30
soil_co2 DP1.00095.001 2,275,920 310M 2016-11-04 -> 2025-06-30

Retry note: on the first download_full_history.py pass, 5 of 11 products (wind, radiation_net, radiation_par, soil_heat_flux, soil_co2) failed with a transient ConnectionError: Cannot access NEON API -- the same rate-limiting pattern already documented in neon_CPER's README. A 90s backoff followed by individually re-running each via download_neon_product.py cleared all 5 on the first retry.

2 PhenoCam Network cameras -- verified live against phenocam.nau.edu's per-ROI CSV date ranges (direct pandas.read_csv(), not a summarized fetch) on 2026-10-05:

Camera ROI(s) Rows Coverage Notes
canopy (NEON.D03.OSBS.DP1.00033) EN_1000+EN_2000 3,559 2016-12-15 -> 2026-10-04 One 22-day gap at the generation hand-off (2026-02-24 -> 2026-03-17). EN_1000 alone runs gap-free 2016-12-15 -> 2026-02-23; EN_2000 is a new generation starting right after.
understory (NEON.D03.OSBS.DP1.00042) GR_1000+GR_2000 3,546 2016-12-14 -> 2026-10-04 One 36-day gap at the hand-off (2025-12-10 -> 2026-01-14). UN_0001 -- the semantically obvious name match -- was checked and rejected: it's a short series that stops 2018-03-11 (453 rows), the same pattern as CPER's abandoned understory camera. GR_1000+GR_2000 gives vastly better coverage.

Eddy covariance (DP4.00200.001): requested 2017-02 -> 2026-08 (115 site-months); zips_by_product() actually returned 101 site-months (~18 GB raw HDF5). Of those, one file (2017-02) crashed stack_eddy() with a column-shape error -- its generation timestamp (Dec 2022) was far older than every other month's (Jan 2026+), meaning it was produced under an incompatible older NEON processing schema. Not a download/network/disk issue; re-pulling it would hit the same error. Worked around by excluding that one file and stacking the remaining 100 (2017-03 -> 2025-06-30, 146,112 unfiltered rows). After the NEE QC filter (qfqm.fluxCo2.nsae.qfFinl == 0, which dropped 78.8% of rows -- 115,124 of 146,112), the final output is 14 MB, 30,988 rows (raw/eddy_covariance/OSBS_eddy_covariance_2017-03_2026-08.csv). Notably, the QC-passing rows don't start until 2019-09-15 -- every row from 2017-03 through 2019-09-14 was flagged bad by the NEE quality flag, not simply absent; real usable coverage is 2019-09-15 -> 2025-06-28.

6. Uploading to HuggingFace

Once real data has been pulled, push it to the HF dataset repo:

hf auth login   # if not already logged in
python3 scripts/upload_to_huggingface.py --dry-run   # preview first
python3 scripts/upload_to_huggingface.py             # real upload

Default target: johnnybwell/neon_OSBS (public). Uploads raw/, metadata/, and this README.md (rendered by HF as the dataset card) -- not scripts/ (code lives on GitHub) or processed/ (local-only).

7. Known issues and gotchas

Carried forward from neon_CPER/neon_CLBJ, confirmed to still apply:

  • neonutilities 2.0.1 vs pandas 3.0 incompatibility -- fixed by pinning pandas<3 in scripts/requirements.txt.
  • soil_co2's real stacked table name is SCO2C_30_minute, not SCO2C_30min.
  • wind (DP1.00001.001) returns speed and direction in the same stacked table (2DWSD_30min).
  • precipitation uses DP1.00044.001 (weighing gauge) -- confirmed OSBS publishes it, 2016-09-26 -> 2025-06-30, 76,800 rows.
  • Transient ConnectionErrors under bulk pull volume -- 5 of 11 products failed on the first download_full_history.py pass with ConnectionError: Cannot access NEON API; a 90s backoff + individual retry via download_neon_product.py cleared all 5. Same pattern CPER documented -- don't assume a bad token/site code if this recurs.

New, OSBS-specific findings from this repo's setup (2026-10-05):

  • One eddy covariance month has an incompatible schema and crashes stack_eddy(). The 2017-02 HDF5 file was generated under an older NEON processing revision (timestamp Dec 2022, vs. Jan 2026+ for every other month) and has a different column layout that neonutilities==2.0.1's stack_eddy() can't merge alongside the newer files (ValueError: setting an array element with a sequence... inhomogeneous shape). Not a network/disk/token issue -- re-downloading changes nothing. Fixed by excluding that one file from the staging directory before stacking the rest. If re-running this pull, check for a .h5.gz file that never got auto-decompressed (another symptom of the same file) and/or a generation timestamp that stands out from the rest, and exclude it rather than assuming the whole pull is broken.
  • PhenoCam's semantically-obvious ROI name was the wrong pick. UN_0001 ("UN" = understory, matching CLBJ's UN_1000 naming for the same product) looked like the right choice by convention, but direct CSV verification showed it's actually a short series retired in 2018 (453 rows, 2016-12-14 -> 2018-03-11) -- the real long-running camera is under GR_1000+GR_2000 instead (3,546 rows spanning nearly the full decade). Don't pick a PhenoCam ROI by name pattern alone; check actual date ranges first. See metadata/README.md for the full verification detail on both OSBS PhenoCam products.

8. File naming conventions

Same as neon_CPER/neon_CLBJ:

<SITE>_<product_shortname>_<start_YYYY-MM>_<end_YYYY-MM>.csv

e.g. OSBS_air_temperature_2014-08_2026-08.csv.

PhenoCam CSVs (day granularity, not month):

<SITE>_<alias>_<start_YYYY-MM-DD>_<end_YYYY-MM-DD>.csv

e.g. OSBS_phenocam_canopy_2016-12-15_2026-10-04.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

OSBS is in NEON domain D03 (Southeast), vs. CPER's D10 (Central Plains) and CLBJ's D11 (Southern Plains) -- e.g. a PhenoCam id here is NEON.D03.OSBS.DP1.00033, not NEON.D10.CPER.DP1.00033.

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