nasa-impact/SDO_training

🌞 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.

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📦 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

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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]