The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 80, in _split_generators
raise ValueError(
...<2 lines>...
)
ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.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.
WPS_GEOG static geography mirror (ArWen)
A byte-for-byte mirror of the nine standard NCAR WPS v4
geographical (static) dataset tarballs that
ArWen's static builder
reads, plus the Noah-MP soilgrids archive its gpuwm mesh door
requires -- republished here for CDN bandwidth. The authoritative source
is NCAR/UCAR's WPS geographical data distribution:
https://www2.mmm.ucar.edu/wrf/users/download/get_sources_wps_geog.html
(tarballs under https://www2.mmm.ucar.edu/wrf/src/wps_files/). Nothing is modified: each file
here is the NCAR tarball as downloaded on 2026-07-29 (soilgrids.tar.bz2
on 2026-09-01, matching the pin gpuwm computed on 2026-08-23), and the SHA-256
pins below are enforced by gpuwm fetch-geog for downloads from this
mirror and from NCAR alike.
Fetch
pip install gpuwm
gpuwm fetch-geog # this mirror, verified against the pins
gpuwm fetch-geog --source ncar # upstream instead
Or plain HTTPS: .../resolve/main/<filename> and untar the
tarballs into one directory (soilgrids.tar.bz2 carries its seven
datasets under one parent; gpuwm fetch-geog lays them out). MANIFEST.sha256 is sha256sum -c
compatible.
Pinned contents
| file | bytes | sha256 |
|---|---|---|
topo_gmted2010_30s.tar.bz2 |
182,721,518 | 20e02ef61b16c8d66753db8f1ede0edc0ac74e6e1b87961cdbdc483040ff22d7 |
modis_landuse_20class_30s_with_lakes.tar.bz2 |
32,532,921 | fe052cc1000638c32ac7191c779ad070efae458ff0751bc4aa2a716e38bec578 |
soiltype_top_30s.tar.bz2 |
1,639,561 | 6d45d93cc0d14ac4019f1a2857e56fb1fbc860f135e12d89fc0a569278242315 |
soiltype_bot_30s.tar.bz2 |
1,919,818 | 818febf2d141a46152f0990877e3ca15fd23a61961d978f71f5fdd0ea80bb335 |
greenfrac_fpar_modis.tar.bz2 |
990,624,380 | a31d44c7b0c3dfcbaf933b3c30b4c6e52762a3451cf4e1951d7b49f3751b4d03 |
lai_modis_10m.tar.bz2 |
2,604,794 | 7dfe8e2a7c48c085c8d180ffda993ce878b3c054ed7e5c185414c1993b913ebf |
albedo_modis.tar.bz2 |
77,919,797 | cf0d3df8e6b07a2dc7222a0cbc023205a991859395292dc6161597faf02f8e6f |
maxsnowalb_modis.tar.bz2 |
4,446,019 | eca29b1707e184c942eb8f1bfdbafbb4e6650cb97c15784c293fda39e24c1371 |
soiltemp_1deg.tar.bz2 |
31,057 | c407c0b1d9d864ff49708fa3b6ba2f17078535ccfc05a944024ad052e5f914d4 |
soilgrids.tar.bz2 |
864,090,244 | 3d42737a68a52a2be10281f0505c6cb6c05c03707e9382b3a823495afc7937bb |
Provenance and attribution
These datasets are assembled and distributed publicly by NCAR/UCAR for the WRF ecosystem (the NCAR download page attaches no license or citation text). Underlying sources:
| dataset | contents | ultimate source |
|---|---|---|
topo_gmted2010_30s |
30-arc-second terrain elevation | USGS/NGA GMTED2010 (Danielson & Gesch 2011, USGS OFR 2011-1073); U.S. public domain |
modis_landuse_20class_30s_with_lakes |
Noah-modified 20-category IGBP land use with inland lakes | NASA MODIS (MCD12Q1-derived); NASA data are free and open |
soiltype_top_30s |
16-category top-layer soil texture | hybrid STATSGO (USDA, public domain) + FAO Digital Soil Map of the World |
soiltype_bot_30s |
16-category bottom-layer soil texture | hybrid STATSGO (USDA, public domain) + FAO Digital Soil Map of the World |
greenfrac_fpar_modis |
monthly green-vegetation-fraction climatology | NASA MODIS FPAR; NASA data are free and open |
lai_modis_10m |
monthly leaf-area-index climatology (10 arc-min) | NASA MODIS; NASA data are free and open |
albedo_modis |
monthly surface albedo climatology | NASA MODIS; NASA data are free and open |
maxsnowalb_modis |
maximum snow albedo | MODIS-derived (Barlage et al. 2005); NASA data are free and open |
soiltemp_1deg |
1-degree annual-mean deep-soil temperature climatology | distributed with WPS by NCAR; ultimate source not stated on NCAR's pages |
soilgrids |
Noah-MP soil composition and four-layer texture (seven WPS datasets under one parent); required by the gpuwm mesh door only |
distributed with WPS by NCAR for Noah-MP; the name matches ISRIC SoilGrids, ultimate source not stated on NCAR's pages |
If you publish work built on these fields, credit NCAR/UCAR's WPS geographical data distribution and the underlying providers (USGS for GMTED2010; NASA for the MODIS-derived fields).
Update policy
This mirror tracks the pins packaged in gpuwm.geog_assets -- it is
re-snapshotted only together with a gpuwm release that updates those
pins, never silently.
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