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/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
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0
During handling of the above exception, another exception occurred:
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/json/json.py", line 101, in _split_generators
pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 304, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
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 71, 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.
FABDEM V1.2 STAC Catalog
Dataset Description
FABDEM (Forest And Buildings removed Copernicus DEM) is a global elevation dataset that provides a comprehensive 30-meter resolution digital elevation model with building and tree height biases systematically removed from the Copernicus GLO 30 Digital Elevation Model (DEM). This enhanced dataset offers more accurate representation of bare-earth topography for hydrological modeling, flood risk assessment, and other geospatial applications where vegetation and built infrastructure can introduce significant elevation errors.
Dataset Summary
- Resolution: 30 meters
- Coverage: Global
- Format: GeoTIFF tiles organized in STAC (SpatioTemporal Asset Catalog) format
- Total Items: 19,013 tiles
- Tile Coverage: Approximately 1° × 1° per tile
- Version: 1.2
- Data Type: Float32 elevation values in meters
- Coordinate Reference System: WGS84 (EPSG:4326)
Source and Development
This dataset has been developed by the University of Bristol as part of research published in Environmental Research Letters. The methodology removes vegetation and building heights from the original Copernicus DEM using machine learning techniques and auxiliary datasets, resulting in a more accurate representation of underlying terrain elevations.
Dataset Structure
The catalog is organized hierarchically to facilitate efficient data discovery and access:
fabdem-v12/
├── catalog.json (root catalog)
├── tiles/
| ├── N00E000-N10E010_FABDEM_V1-2/...
| └── ...
├── stac_catalog/
│ ├── catalog.json (root catalog)
| ├── N01E001_FABDEM_V1-2/...
| └── ...
Each tile follows the naming convention and covers approximately 1 degree of latitude and longitude, with tiles grouped into 10° × 10° regional folders mirroring the original data distribution structure.
Key Features
- STAC Compliance: Fully compliant with STAC specification for interoperability
- On-demand Access: Eliminates need to download large ZIP archives
Usage
For detailed usage examples, refer to the included notebook stac_catalog_query.ipynb.
Data Quality and Limitations
- Accuracy: Improved accuracy over original Copernicus DEM, particularly in forested and urban areas
- Temporal Snapshot: Represents conditions circa 2020
- Processing Artifacts: Some processing artifacts may remain in complex terrain
- Polar Regions: Coverage limitations in extreme polar regions following Copernicus DEM constraints
Technical Specifications
Provenance and Attribution
This STAC catalog implementation is inspired by the work at https://github.com/cordmaur/fabdem-brazil-south and provides improved accessibility to the original FABDEM dataset distributed by the University of Bristol.
Original Data Source: https://data.bris.ac.uk/data/dataset/s5hqmjcdj8yo2ibzi9b4ew3sn
Citation: When using this dataset, please cite the original research paper and acknowledge the data source.
License and Terms of Use
Please refer to the original data distribution terms at the University of Bristol repository.
References
Hawker, Laurence, Peter Uhe, Luntadila Paulo, Jeison Sosa, James Savage, Christopher Sampson, and Jeffrey Neal. "A 30 m Global Map of Elevation with Forests and Buildings Removed." Environmental Research Letters 17, no. 2 (February 2022): 024016. https://doi.org/10.1088/1748-9326/ac4d4f.
Contact and Support
For questions about the original dataset methodology and creation, contact the University of Bristol research team. For issues specific to this STAC catalog implementation, please refer to the repository documentation and issue tracker.
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