Solar Dynamics Observatory (SDO): Multi-Wavelength Solar Imagery and Magnetic Field Data

NASA's Solar Dynamics Observatory (SDO) Machine Learning Dataset includes AIA and HMI instrument observations from 2010 to 2020. The v1 dataset covers 2010-2018, while v2 extends coverage to 2020, providing solar imagery in 10 wavebands and vector magnetic field components. Data includes EVE observations in 39 wavelengths from May 2010 to May 2014.

Use Cases

• Train computer vision models for solar feature detection based on 512x512 resolution images in 10 wavebands.
• Develop time-series forecasting models for solar activity using data with 6-minute and 12-minute cadences.
• Analyze correlations between solar magnetic fields and extreme ultraviolet emissions using Bx, By, Bz vector field components.
• Study solar irradiance variations using EVE observations across 39 wavelengths with 10-second cadence.

Strengths

• Includes observations from 2010 to 2020, providing over a decade of solar data.
• Data from multiple instruments (AIA, HMI, EVE) covering 10 wavebands and 39 wavelengths.
• Specified temporal cadences of 6 minutes, 12 minutes, and 10 seconds for different data products.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and total dataset size are unknown, which may limit suitability assessment.

Provenance

Source

NASA

Collection Method

Observations from the Solar Dynamics Observatory (SDO) spacecraft instruments: AIA, HMI, and EVE.

Time Range

2010 to 2020 (v2 dataset). EVE data from 2010-05-01 to 2014-05-26.