The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ArrowInvalid
Message: JSON parse error: Invalid value. in row 0
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 324, in _generate_tables
df = pandas_read_json(f)
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
return pd.read_json(path_or_buf, **kwargs)
~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 815, in read_json
return json_reader.read()
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1014, in read
obj = self._get_object_parser(self.data)
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
obj = FrameParser(json, **kwargs).parse()
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1176, in parse
self._parse()
~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1392, in _parse
ujson_loads(json, precise_float=self.precise_float), dtype=None
~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4379, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2661, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2839, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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/json/json.py", line 327, in _generate_tables
raise e
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Note: This description was drafted with AI assistance and is subject to revision.
MOSES Initiative — Matai'an Open Science and Engineering Sharing Platform
The MOSES Initiative (Mataian Open Science and Engineering Sharing Initiative) publishes scientific and engineering datasets for the Matai'an Creek (馬太鞍溪) watershed in eastern Taiwan (23.56°N–24.15°N, 121.16°E–121.68°E). All datasets are discoverable through a STAC catalog.
Datasets
1. Radar Rainfall — Typhoon Events (stac_catalog/assets/radar-rain-monthly)
Machine-learning-predicted gridded rainfall for the Matai'an area, organized by typhoon event (2012–2026).
- Format: Monthly NetCDF (
.nc) and Zarr (.zarr) - Variables: 1-hr accumulated rainfall, 10-min intensity, AOI mask, elevation
- Spatial: 48 × 42 grid points, ~1.2 km resolution
- Temporal: 10-minute intervals per month
- Model: XGBoost, trained on CWA radar data
- License: Proprietary (contact lab for access)
See rain/zarr_tutorial.md for a Python example using xarray + STAC to access Zarr data without downloading entire files.
2. Downstream Sediment (stac_catalog/assets/sediment)
Bed material particle-size distribution and physical properties sampled along Matai'an Creek.
- Samples: 22 sites (Dec 2025 – Jan 2026)
- Methods: Sieve analysis + hydrometer sedimentation test
- Measurements: Grain size distribution (Gravel → Clay), D10/D30/D50/D60, Cu, Cc, specific gravity
- Reference: MOSES Report No. 001 — Dataset of Bed Material Particle-Size Distribution and Physical Properties in Matai'an Creek
- License: CC BY 4.0
See sediment_README.md for the full data dictionary.
STAC Catalog
All datasets are indexed in a SpatioTemporal Asset Catalog (STAC). Browse with STAC Browser or load programmatically:
import pystac
catalog = pystac.Catalog.from_file(
"https://huggingface.co/datasets/NTU-CompHydroMet-Lab/mataian-moses-stac"
"/resolve/main/stac_catalog/catalog.json"
)
Citation
If you use these datasets, please cite:
MOSES Initiative. (2026). Mataian Open Science and Engineering Sharing Platform [Dataset]. National Taiwan University. https://huggingface.co/datasets/NTU-CompHydroMet-Lab/mataian-moses-stac
Contact
CompHydroMet Lab & MHRG Lab
Department of Civil Engineering, National Taiwan University
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