Multivariate time series dataset for space weather data analytics
| Autor: | Manolis K. Georgoulis, Sunitha Basodi, Sushant S. Mahajan, Dustin J. Kempton, Soukaina Filali Boubrahimi, Petrus C. Martens, Azim Ahmadzadeh, Rafal A. Angryk, Michael A. Schuh, Berkay Aydin, Xumin Cai, Shah Muhammad Hamdi |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Statistics and Probability
Multivariate statistics Data Descriptor 010504 meteorology & atmospheric sciences Computer science Space weather Library and Information Sciences computer.software_genre 01 natural sciences law.invention Education Space physics law Time series dataset 0103 physical sciences lcsh:Science 010303 astronomy & astrophysics 0105 earth and related environmental sciences Solar physics Data collection Solar flare Computer Science Applications Data analysis lcsh:Q Data mining Statistics Probability and Uncertainty computer Data integration Flare Information Systems |
| Zdroj: | Scientific Data, Vol 7, Iss 1, Pp 1-13 (2020) Scientific Data |
| ISSN: | 2052-4463 |
| Popis: | We introduce and make openly accessible a comprehensive, multivariate time series (MVTS) dataset extracted from solar photospheric vector magnetograms in Spaceweather HMI Active Region Patch (SHARP) series. Our dataset also includes a cross-checked NOAA solar flare catalog that immediately facilitates solar flare prediction efforts. We discuss methods used for data collection, cleaning and pre-processing of the solar active region and flare data, and we further describe a novel data integration and sampling methodology. Our dataset covers 4,098 MVTS data collections from active regions occurring between May 2010 and December 2018, includes 51 flare-predictive parameters, and integrates over 10,000 flare reports. Potential directions toward expansion of the time series, either “horizontally” – by adding more prediction-specific parameters, or “vertically” – by generalizing flare into integrated solar eruption prediction, are also explained. The immediate tasks enabled by the disseminated dataset include: optimization of solar flare prediction and detailed investigation for elusive flare predictors or precursors, with both operational (research-to-operations), and basic research (operations-to-research) benefits potentially following in the future. Measurement(s) solar flare • stellar radiation • solar magnetic data Technology Type(s) digital curation Factor Type(s) temporal interval • flare class • location Sample Characteristic - Environment star • climate system Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.12444884 |
| Databáze: | OpenAIRE |
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