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nasa-ibm-ai4science
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SDO_training

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Tags:
Helio
Foundation_model
Pretraining
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4
Dataset Viewer
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:    ReadError
Message:      unexpected end of data
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2361, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1905, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 499, in _iter_arrow
                  for key, pa_table in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 151, in _convert_to_arrow
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 245, in __iter__
                  for key_example in islice(self.generate_examples_fn(**gen_kwags), shard_example_idx_start, None):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 122, in _generate_examples
                  for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 44, in _get_pipeline_from_tar
                  current_example[field_name.lower()] = f.read()
                File "/usr/local/lib/python3.9/tarfile.py", line 690, in read
                  raise ReadError("unexpected end of data")
              tarfile.ReadError: unexpected end of data

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🌞 SDO ML-Ready Dataset: AIA and HMI Level-1.5

Overview

This dataset provides machine learning (ML)-ready solar data curated from NASA’s Solar Dynamics Observatory (SDO), covering observations from May 13, 2010, to July 31, 2024. It includes Level-1.5 processed data from:

  • Atmospheric Imaging Assembly (AIA):
  • Helioseismic and Magnetic Imager (HMI):

The dataset is designed to facilitate large-scale ML applications in heliophysics, such as solar activity forecasting, unsupervised representation learning, and scientific foundation model development.

📦 Dataset Details

Field Description
Temporal Coverage May 13, 2010 – Dec 31, 2024
Data Format netCDF (.nc), float32
Temporal Granularity 12 minutes
Data Shape [13, 4096, 4096] per file
Channels 13 total (AIA EUV ×8 + HMI magnetograms ×5)
Size per File ~570 MB
Total Size ~360TB

Data Variables:

- aia94    (y, x) float32   : AIA 94 Å
- aia131   (y, x) float32   : AIA 131 Å
- aia171   (y, x) float32   : AIA 171 Å
- aia193   (y, x) float32   : AIA 193 Å
- aia211   (y, x) float32   : AIA 211 Å
- aia304   (y, x) float32   : AIA 304 Å
- aia335   (y, x) float32   : AIA 335 Å
- aia1600  (y, x) float32   : AIA 1600 Å (UV continuum)
- hmi_m    (y, x) float32   : HMI LOS Magnetogram
- hmi_bx   (y, x) float32   : HMI Magnetic Field - x component
- hmi_by   (y, x) float32   : HMI Magnetic Field - y component
- hmi_bz   (y, x) float32   : HMI Magnetic Field - z component
- hmi_v    (y, x) float32   : HMI Doppler Velocity

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Training Data for 1 month is available on Huggingface parallel to the main branch as Parquet files.




Authors
Sujit Roy, Dinesha Vasanta Hegde, Johannes Schmude, Amy Lin, Vishal Gaur, Talwinder Singh, Rohit Lal
corr:  [email protected]
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