The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: TypeError
Message: Couldn't cast array of type
struct<FIELDNAM: string, CATDESC: string, DEPEND_0: string, DEPEND_1: string, DEPEND_2: string, FORMAT: string, MONOTON: string, UNITS: string, VAR_TYPE: string, _FillValue: string, standard_name: string, units: string>
to
{'FIELDNAM': Value('string'), 'CATDESC': Value('string'), 'DEPEND_0': Value('string'), 'FORMAT': Value('string'), 'MONOTON': Value('string'), 'UNITS': Value('string'), 'VAR_TYPE': Value('string'), '_FillValue': Value('string'), 'long_name': Value('string'), 'units': Value('string')}
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2255, in cast_table_to_schema
cast_array_to_feature(
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1804, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2101, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<FIELDNAM: string, CATDESC: string, DEPEND_0: string, DEPEND_1: string, DEPEND_2: string, FORMAT: string, MONOTON: string, UNITS: string, VAR_TYPE: string, _FillValue: string, standard_name: string, units: string>
to
{'FIELDNAM': Value('string'), 'CATDESC': Value('string'), 'DEPEND_0': Value('string'), 'FORMAT': Value('string'), 'MONOTON': Value('string'), 'UNITS': Value('string'), 'VAR_TYPE': Value('string'), '_FillValue': Value('string'), 'long_name': Value('string'), 'units': Value('string')}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.
OpenMARS — ARCO Format
Analysis-Ready and Cloud Optimized Zarr conversion of the OpenMARS reanalysis (Holmes et al. 2020), covering Mars Years 24–35 in two eras: MY24–27 (MGS/TES) and MY28–35 (MRO/MCS). Variables include temperature, winds, surface pressure, surface temperature, CO2 ice, and column dust optical depth
Citation
Bhattacharya, A. (2026). ARCO-OpenMARS: Analysis-Ready Cloud-Optimized OpenMARS Reanalysis. https://doi.org/10.57967/hf/8741
Holmes, James; Lewis, Stephen; Patel, Manish (2019). OpenMARS database. The Open University. Collection. https://doi.org/10.21954/ou.rd.c.4278950
Holmes, James A., Stephen R. Lewis, and Manish R. Patel. "OpenMARS: A global record of martian weather from 1999 to 2015." Planetary and Space Science 188 (2020): 104962.
BibTeX
@misc{bhattacharya2026arco_openmars, author = {Bhattacharya, Ananyo}, title = {{ARCO-OpenMARS}: Analysis-Ready Cloud-Optimized {OpenMARS} Reanalysis}, year = {2026}, publisher = {Hugging Face}, doi = {https://doi.org/10.57967/hf/8741}, url = {https://huggingface.co/datasets/ananyo01/ARCO-OpenMars} }
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