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Solar active region magnetogram image dataset for studies of space weather
In this dataset we provide a comprehensive collection of line-of-sight (LOS) solar photospheric magnetograms (images quantifying the strength of the photospheric magnetic field) from the National Aeronautics and Space Administration’s (NASA’s) Solar Dynamics Observatory (SDO). The dataset incorporat...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10673907/ https://www.ncbi.nlm.nih.gov/pubmed/38001090 http://dx.doi.org/10.1038/s41597-023-02628-8 |
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author | Boucheron, Laura E. Vincent, Ty Grajeda, Jeremy A. Wuest, Ellery |
author_facet | Boucheron, Laura E. Vincent, Ty Grajeda, Jeremy A. Wuest, Ellery |
author_sort | Boucheron, Laura E. |
collection | PubMed |
description | In this dataset we provide a comprehensive collection of line-of-sight (LOS) solar photospheric magnetograms (images quantifying the strength of the photospheric magnetic field) 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 (regions of large magnetic flux, generally the source of eruptive events) 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 comprehensive image dataset of LOS photospheric magnetograms for solar flare prediction research. |
format | Online Article Text |
id | pubmed-10673907 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106739072023-11-24 Solar active region magnetogram image dataset for studies of space weather Boucheron, Laura E. Vincent, Ty Grajeda, Jeremy A. Wuest, Ellery Sci Data Data Descriptor In this dataset we provide a comprehensive collection of line-of-sight (LOS) solar photospheric magnetograms (images quantifying the strength of the photospheric magnetic field) 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 (regions of large magnetic flux, generally the source of eruptive events) 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 comprehensive image dataset of LOS photospheric magnetograms for solar flare prediction research. Nature Publishing Group UK 2023-11-24 /pmc/articles/PMC10673907/ /pubmed/38001090 http://dx.doi.org/10.1038/s41597-023-02628-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Boucheron, Laura E. Vincent, Ty Grajeda, Jeremy A. Wuest, Ellery Solar active region magnetogram image dataset for studies of space weather |
title | Solar active region magnetogram image dataset for studies of space weather |
title_full | Solar active region magnetogram image dataset for studies of space weather |
title_fullStr | Solar active region magnetogram image dataset for studies of space weather |
title_full_unstemmed | Solar active region magnetogram image dataset for studies of space weather |
title_short | Solar active region magnetogram image dataset for studies of space weather |
title_sort | solar active region magnetogram image dataset for studies of space weather |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10673907/ https://www.ncbi.nlm.nih.gov/pubmed/38001090 http://dx.doi.org/10.1038/s41597-023-02628-8 |
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