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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    ArrowInvalid
Message:      Mismatching child array lengths
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 83, in _generate_tables
                  pa_table = _recursive_load_arrays(h5, self.info.features, start, end)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 267, in _recursive_load_arrays
                  arr = _recursive_load_arrays(obj, features[path], start, end)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 267, in _recursive_load_arrays
                  arr = _recursive_load_arrays(obj, features[path], start, end)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 267, in _recursive_load_arrays
                  arr = _recursive_load_arrays(obj, features[path], start, end)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 288, in _recursive_load_arrays
                  sarr = pa.StructArray.from_arrays(values, names=keys)
                File "pyarrow/array.pxi", line 4385, in pyarrow.lib.StructArray.from_arrays
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Mismatching child array lengths

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Test data for the RETRO model

Link to model source code and documentation: https://github.com/tum-esm/retro

We are not the creators of most data in this repository but only included datasets in here that permit redistribution. Find the exact sources below. Please follow the applicable data policies below. The license for the RETRO software does not cover the data files themselves, which are subject to the policies of the respective data providers.


Column Averaging Kernels

GOSAT and GOSAT-2

GOSAT and GOSAT-2 standard data products provided by JAXA, NIES, and MOE. Sources: GOSAT Data Archive Service (GDAS) and GOSAT-2 Product Archive. The GOSAT/GOSAT-2 Data Policy permits redistribution of publicly released standard products, provided recipients comply with the same policy. Credit JAXA/NIES/MOE in publications and derived products; use contrary to peaceful purposes is prohibited.

OCO-2 and OCO-3

NASA OCO-2 and OCO-3 data products produced by the Jet Propulsion Laboratory, California Institute of Technology. Source: NASA GES DISC. NASA's Earthdata data-use guidance allows unrestricted use and redistribution of NASA mission data unless otherwise marked. Acknowledge the data producers and GES DISC, and cite the applicable dataset DOI and version when publishing results.

S5P TROPOMI SRON

Copernicus Sentinel-5P TROPOMI Level-2 data products, including the SRON operational methane retrieval. Source: Copernicus Data Space Ecosystem. The Copernicus Sentinel Data Legal Notice permits use, modification, and redistribution. Attribution for these files: "Copernicus Sentinel data 2026"; for modified versions, use "Contains modified Copernicus Sentinel data 2026". The data are provided without warranty.

S5P TROPOMI WFMD

TROPOMI/WFMD methane and carbon monoxide data provided by the University of Bremen (IUP), ESA GHG-CCI/CCI+. Source and acknowledgment guidelines: https://www.iup.uni-bremen.de/carbon_ghg/products/tropomi_wfmd/. Version 1.8 (fv3.nc) follows the ESA CCI Data Policy; version 2.0 (fv4.nc) uses CC BY-SA 4.0. Redistribution is permitted with attribution; for v2.0, include the license link, indicate changes, and share adaptations under the same or a compatible license.

TCCON

Redistribution of TCCON is not explicitly allowed, so RETRO downloads it on-demand from CaltechData (https://data.caltech.edu/).


Meteorology

HRRR

HRRR meteorological data produced by NOAA/NCEP and obtained from the NOAA Air Resources Laboratory (ARL) READY archive, with cropped subsets included here. These U.S. government data are generally in the public domain and may be used and redistributed under the NOAA/NWS data-use terms. Credit NOAA/NCEP and NOAA ARL, identify modifications, and do not imply NOAA endorsement or present modified data as official NOAA products.

ERA5

ERA5 meteorological data produced by ECMWF for the Copernicus Climate Change Service (C3S). Source: Copernicus Climate Data Store (CDS), hourly pressure levels and hourly single levels. The CDS CC BY 4.0 license permits modification and redistribution with attribution, a license link, and an indication of changes. These files contain modified ERA5 data processed with CDO, including conversion to ARL using era52arl for HYSPLIT. Credit C3S/ECMWF and cite the source datasets when reusing them.

ICON

ICON meteorological data generated by our own ICON simulations and converted for HYSPLIT and MPTRAC. The ICON software uses the BSD 3-Clause license, which does not itself specify a license for these generated data. A separate output-data license has not yet been declared here; redistribution terms for these files therefore remain unspecified. Credit the ICON partnership and the model release when publishing results.

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