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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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