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Abstract We present FlareDB, a database that provides comprehensive magnetic field information, ultraviolet/extreme ultraviolet (UV/EUV) emissions, and white light continuum images for solar active regions (ARs) associated with 151 significant flares from May 2010 to May 2025. The data, sourced from the Solar Dynamics Observatory (SDO) via the Joint Science Operations Center (JSOC), were processed with SunPy and stored in standardized JSOC FITS format. FlareDB includes all M5.0 and larger flares within 50° of the solar disk center. Key features include (1) Atmospheric Imaging Assembly (AIA) AR patches in Helioprojective Cartesian(HPC) and Lambert Cylindrical Equal-Area (CEA) projections, aligned with corresponding HMI magnetogram patches; (2) quick-look movies with uniform value ranges that ensure consistent visualization, maintain data uniformity, and enhance readiness for machine learning studies; (3) a supplementary web interface that allows the entire dataset of a flare to be downloaded for large flare analysis. One of FlareDB’s primary objectives is to support scientists in predicting and understanding the onset of solar eruptions, including flares and coronal mass ejections. The data set is machine-learning ready for this purpose.
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Bitmap Filtered Line of Sight HMI Active Region Patches with Augmentations
Dataset Description This dataset consists of processed Line-of-Sight (LoS) magnetogram images of Active Regions (ARs) from the Helioseismic and Magnetic Imager (HMI) onboard the Solar Dynamics Observatory (SDO). The images are derived from the Space-Weather HMI Active Region Patches (SHARP) data product definitive series and cover the period from May 2010 to 2018, sampled hourly. Dataset Contents: Processed Magnetogram Images: Each image represents a cropped and standardized view of an AR patch, extracted and adjusted from the original magnetograms. These images have been filtered and normalized to a size of 512×512 pixels. Processing Steps: Cropping: Magnetograms are cropped using bitmaps that define the region of interest within the AR patches. Regions smaller than 70 pixels in width are excluded. Flux Adjustment: Magnetic flux values are capped at ±256 G, with values within ±25 G set to 0 to minimize noise. Standardization: Patches are resized to 512×512 pixels using zero-padding for smaller patches or a 512×512 kernel to select regions with the maximum total unsigned flux (USFLUX) for larger patches. Normalization: Final images are scaled to fit within the range of 0-255. Data Dictionary: harp_N1_N2: These tar files contains folders where the AR patches with harp number N1 to N2 are included. complete_hourly_dataset.csv: This includes the list of hourly sampled magnetograms along with their associated goes flare class, assuming a 24 hour forecast horizon. augmentations: Five different augmentations of AR patches corresponding to GOES flare classes greater than C, assuming a 24 hour forecast horizon are listed as 5 different tar files. Look for: horizontal flip, vertical_flip, add noise, polarity change, and gaussian blur.
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- Award ID(s):
- 2104004
- PAR ID:
- 10526392
- Publisher / Repository:
- Harvard Dataverse
- Date Published:
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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