Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
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 81, in _split_generators
                  first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
                  fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory")
                                                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 302, in filesystem
                  cls = get_filesystem_class(protocol)
                File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 239, in get_filesystem_class
                  raise ValueError(f"Protocol not known: {protocol}")
              ValueError: Protocol not known: memory
              
              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.

Dataset Card for 3D-NEXRAD

3D gridded radar reflectivity data collected from the U.S.NEXRAD WSR-88D radar network.

Dataset Description

The 3D-NEXRDA dataset comprises 3D radar observations of severe storm events across the United States, with each event captured at different geographic locations. The dataset provides high-resolution insights into storm dynamics with high temporal and spatial resolution.

  • Temporal Coverage:

    • Time Span: 2020.01.01 - 2022.12.31

    • Interval and Event Duration: 25 frames for each sequence spanning a period of 125 minutes per event

    we are actively working to expand this dataset to cover the period from 2020 to 2022

  • Spatial Dimensions:

    • Horizontal Resolution: 512 × 512 for Each observation frame

    • Vertical Resolution: 28 levels, from 0.5 km to 7 km with 0.5 km intervals, and from 7 km to 22 km with 1 km intervals

    • Available Variables: 7 radar variables:

      • Radar Reflectivity
      • Velocity Spectrum Width
      • Azimuthal Shear of the Radial Velocity
      • Radial Divergence of the Radial Velocity
      • Differential Radar Reflectivity
      • Specific Differential Phase
      • Copolar Correlation Coefficient
  • Data Source:

    This dataset was re-collected, collated and pre-processed from:

    GridRad-Severe - Three-Dimensional Gridded NEXRAD WSR-88D Radar Data for Severe Events. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. Dataset. https://doi.org/10.5065/2B46-1A97. Accessed† 26 Nov 2024.

  • License: cc-by-4.0

Uses

Download and extract

cat nexrad-[YYYY].tar.gz.* | tar -zxv -C [your_dataset_dir]/

Citation

@inproceedings{
    wang2025highdynamic,
    title={High-Dynamic Radar Sequence Prediction for Weather Nowcasting Using Spatiotemporal Coherent Gaussian Representation},
    author={Ziye Wang and Yiran Qin and Lin Zeng and Ruimao Zhang},
    booktitle={The Thirteenth International Conference on Learning Representations},
    year={2025},
    url={https://openreview.net/forum?id=Cjz9Xhm7sI}
}
@misc{wang2025highdynamicradarsequenceprediction,
      title={High-Dynamic Radar Sequence Prediction for Weather Nowcasting Using Spatiotemporal Coherent Gaussian Representation}, 
      author={Ziye Wang and Yiran Qin and Lin Zeng and Ruimao Zhang},
      year={2025},
      eprint={2502.14895},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2502.14895}, 
}
Downloads last month
710

Paper for Ziyeeee/3D-NEXRAD