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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:    TypeError
Message:      Couldn't cast array of type
struct<endian: string, level: int64, checksum: bool>
to
{'endian': Value('string'), 'typesize': Value('int64'), 'cname': Value('string'), 'clevel': Value('int64'), 'shuffle': Value('string'), 'blocksize': Value('int64')}
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 295, 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 2061, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1806, in wrapper
                  return func(array, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2011, in cast_array_to_feature
                  _c(array.field(name) if name in array_fields else null_array, subfeature)
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1806, in wrapper
                  return func(array, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                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<endian: string, level: int64, checksum: bool>
              to
              {'endian': Value('string'), 'typesize': Value('int64'), 'cname': Value('string'), 'clevel': Value('int64'), 'shuffle': Value('string'), 'blocksize': Value('int64')}

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AguaTrack-ARCO-SA-Aggregated

Binary Zarr v3 dataset. Use xarray + HfFileSystem to access.

from huggingface_hub import HfFileSystem
import xarray as xr

fs    = HfFileSystem()
store = fs.get_mapper("datasets/NTU-CompHydroMet-Lab/wam2layers/1996.zarr")
ds    = xr.open_zarr(store, consolidated=False)

See code tutorials in GitHub

How to cite

Companion code — archived on Zenodo (DOI: 10.5281/zenodo.20036507):

@software{aguatrack_arco_sa_tutorial_v0_1_0,
  author    = {Lin, Sung Che and Hung, Ho Tin},
  title     = {{AguaTrack-ARCO-SA Tutorial}},
  version   = {v0.1.0},
  date      = {2026-05-05},
  publisher = {Zenodo},
  doi       = {10.5281/zenodo.20036507},
  url       = {https://doi.org/10.5281/zenodo.20036507},
}

Dataset. Cite the AguaTrack-ARCO-SA dataset directly from HuggingFace — the dataset card has its own canonical citation block: AguaTrack/AguaTrack-ARCO-SA (DOI: 10.57967/hf/8650). The monthly and yearly aggregates at AguaTrackSA/AguaTrack-ARCO-SA-Aggregated are derived from the daily store and share the same DOI.

@misc{ho_tin_hung_2026,
    author       = { Ho Tin Hung and Sung Che Lin },
    title        = { AguaTrack-ARCO-SA (Revision a433c0f) },
    year         = 2026,
    url          = { https://huggingface.co/datasets/AguaTrack/AguaTrack-ARCO-SA },
    doi          = { 10.57967/hf/8650 },
    publisher    = { Hugging Face }
}
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