Datasets:

nasa-ibm-ai4science
/

core-sdo

size_categories:
  - 100K<n<1M
tags:
  - Helio
  - Pretraining
  - faoundation-model
  - solar
  - SDO
  - EUV
  - magnetogram
  - multimodal
pretty_name: SuryaBench
license: cc-by-4.0

ML-Ready Multi-Modal Image Dataset from SDO

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 Dec 31, 2024. It includes Level-1.5 processed data from: Atmospheric Imaging Assembly (AIA) and Helioseismic and Magnetic Imager (HMI).

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

Dataset Download Instructions

To download the data please visit https://registry.opendata.aws/surya-bench/

Resource type: S3 Bucket
Amazon Resource Name (ARN): arn:aws:s3:::nasa-surya-bench
AWS CLI Access (No AWS account required): aws s3 ls --no-sign-request s3://nasa-surya-bench/

Dataset Structure

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

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

📦 Downstream Data Repositories

All the downstream tasks that uses core-sdo dataset can be found in the SuryaBench Hugging Face Collections

Each sub-dataset targets a specific task within the heliophysics domain:

Repository	Task Description
`Surya-bench-solarwind`	Solar wind speed prediction with a 4-day forecast horizon.
`surya-bench-flare-forecasting`	Binary classification for solar flare occurrence within 24 hours.
`surya-bench-ar-segmentation`	Pixel-wise segmentation of active regions from solar disk images.
`euv_spectra`	Time-aligned Extreme Ultraviolet (EUV) irradiance spectra from NASA’s SDO/EVE instrument.
`surya-bench-coronal-extrapolation`	Magnetic field extrapolation from photosphere to corona.
`ar_emergence`	Forecasting active region emergence based on historical features.

License

This dataset is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) License.

Authors

Sujit Roy, Dinesha V Hegde, Johannes Schmude, Rohit Lal, Vishal Gaur
corr: [email protected]