Solar Dynamics Observatory (SDO) Machine Learning Dataset

Description

The v1 dataset includes AIA/HMI observations 2010-2018 and v2 includes AIA/HMI observations 2010-2020 in all 10 wavebands (94A, 131A, 171A, 193A, 211A, 304A, 335A, 1600A, 1700A, 4500A), with 512x512 resolution and 6 minutes cadence; HMI vector magnetic field observations in Bx, By, and Bz components, with 512x512 resolution and 12 minutes cadence; The EVE observations in 39 wavelengths from 2010-05-01 to 2014-05-26, with 10 seconds cadence.

Update Frequency

N/A (The IDL/Python scripts for generating the datasets are published online, which can be used by users to generate the v1 dataset after 2018 and v2 dataset after 2020)

License

There are no restrictions on the use of this data.

Documentation

https://github.com/SDOML/sdoml.github.io

Managed By

See all datasets managed by NASA.

Contact

Meng Jin (jinmeng@lmsal.com) and Paul Wright (paul@pauljwright.co.uk)

How to Cite

Solar Dynamics Observatory (SDO) Machine Learning Dataset was accessed on DATE from https://registry.opendata.aws/sdoml-fdl.

Usage Examples

Tutorials

• SDOMLv2 Github by Wright, Paul J.; Jin, Meng; Cheung, Mark C. M.
  

Tools & Applications

• ML applications based on the SDOMLv1 dataset by Salvatelli, Valentina; dos Santos, Luiz F. G.; Bose, Souvik; Neuberg, Brad; Cheung, Mark C. M.; Janvier, Miho; Jin, Meng; Gal, Yarin; Boerner, Paul; Baydin, Atılım Güneş
  
• ML applications based on the SDOMLv2 dataset by Wright, Paul J.
  
• Scripts for generating the SDOMLv1 dataset by Fouhey, David F.; Jin, Meng
  
• Scripts for generating the SDOMLv2 dataset by Jin, Meng
  

Publications

• A Machine-learning Data Set Prepared from the NASA Solar Dynamics Observatory Mission by Galvez, Richard; Fouhey, David F.; Jin, Meng; Szenicer, Alexandre; et al