Active region magnetograms for solar flare prediction: Reduced resolution dataset
Authors/Creators
- 1. New Mexico State University
Description
In this dataset, we provide a comprehensive collection of magnetograms from the National Aeronautics and Space Administration's (NASA's) Solar Dynamics Observatory (SDO). The dataset incorporates data from three sources and provides SDO Helioseismic and Magnetic Imager (HMI) magnetograms of solar active regions as well as labels of corresponding flaring activity. This dataset will be useful for image analysis or solar physics research related to magnetic structure, its evolution over time, and its relation to solar flares. The dataset will be of interest to those researchers investigating automated solar flare prediction methods, including supervised and unsupervised machine learning (classical and deep), binary and multi-class classification, and regression. This dataset is a minimally processed, user configurable dataset of consistently sized images of solar active regions that can serve as a benchmark dataset for solar flare prediction research. This dataset consists of reduced resolution images (see usage notes below).
Notes
Image data are provided in supplementary files available on zenodo (see link under Related works) as .png files which can be opened with any common image manipulation software. All other files included here are text files that can be opened with any standard text manipulation software. We do note, however, that many text files are very large (~1M lines), and may take a while to load.
This is one of three datasets related to the same study:
Reduced resolution dataset (this dataset): Reduced resolution images (950,047 images, each of which is 224x224 pixels and 8-bit depth resolution), https://doi.org/10.5061/dryad.jq2bvq898.
Full resolution dataset: Full resolution images (950,047 images, each of which is 600x600 pixels and 17-bit depth resolution), https://doi.org/10.5061/dryad.dv41ns23n.
Extra images dataset: Images that were excluded from the main analyses in the first and second datasets (421,957 images that were excluded for latitude, longitude, and/or NaN pixels), https://doi.org/10.5061/dryad.qjq2bvqmj. Researchers wishing to work with the entire dataset (all 1,357,004 images) must combine the files from the full resolution preconfigured dataset (https://doi.org/10.5061/dryad.dv41ns23n) and the extra images dataset (https://doi.org/10.5061/dryad.qjq2bvqmj) by moving/copying the subdirectories to a common base directory, e.g., active_regions/.
Files
C1.0_24hr_224_png_Labels.txt
Files
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Additional details
Related works
- Is cited by
- https://arxiv.org/abs/2305.09492 (URL)
- Is derived from
- https://zenodo.org/badge/latestdoi/284776348 (URL)
- Is source of
- 10.5281/zenodo.7775776 (DOI)