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Surya Bench

heliophysics machine learning solar

Description

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.

Update Frequency

This is the final version of the Dataset.

License

Creative Commons Attribution 4.0 International.

Documentation

https://huggingface.co/datasets/nasa-impact/Surya-bench

Managed By

NASA IMPACT

See all datasets managed by NASA IMPACT.

Contact

sujit.roy@nasa.gov

How to Cite

Surya Bench was accessed on DATE from https://registry.opendata.aws/surya-bench. Roy, S., Singh, T., Freitag, M., Schmude, J., Lal, R., Hegde, D., Ranjan, S., Lin, A., Gaur, V., Vos, E.E. and Ghosal, R., 2024. AI Foundation Model for Heliophysics: Applications, Design, and Implementation. arXiv preprint arXiv:2410.10841.

Resources on AWS

  • Description
    Surya Bench
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::nasa-surya-bench
    AWS Region
    us-west-2
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://nasa-surya-bench/
    Explore
    Browse Bucket
  • Description
    Notifications for Surya bench data
    Resource type
    SNS Topic
    Amazon Resource Name (ARN)
    arn:aws:sns:us-west-2:614929158106:nasa-surya-bench-object_created
    AWS Region
    us-west-2

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