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Title: Samples of solar flares classes, active regions and time of occurrence

Type Dataset Gradvohl, André Leon Sampaio, Fernandes, Matheus Evers Rodrigues (2017): Samples of solar flares classes, active regions and time of occurrence. Zenodo. Dataset. https://zenodo.org/record/1048995

Authors: Gradvohl, André Leon Sampaio (University of Campinas) ; Fernandes, Matheus Evers Rodrigues (University of Campinas) ;

Links

Summary

This dataset contains samples of solar flares measurements of classes X, M, C and B.

For clarification, the flares are classified as follows:

Class X: flares \(>10^{-4} watts/m^{2}\) Class M: \(10^{-5} watts/m^{2} <\)flares \(<10^{-4} watts/m^{2}\) Class C: \(10^{-6} watts/m^{2}<\)flares\(<10^{-5} watts/m^{2}\) Class B: \(10^{-7} watts/m^{2}<\)flares\(<10^{-6} watts/m^{2}\)

This dataset was assembled with data from https://www.spaceweatherlive.com/en/solar-activity/top-50-solar-flares

The date (yyyy-mm-dd hh:mm:ss) the authors assembled the data is 2017-11-14 13:48:37

The original data source is the National Oceanic & Atmospheric Administration (NOAA), U.S. Departement of Commerce.

Data description:

Class: Class of the flare: X, M, C or B Date: Date of occurence in yyyy-mm-dd format. AR: Active Region ID attributed by NOAA. Begin: time the flare begins in hh:mm:ss format. Max: time the flare reaches its max value in hh:mm:ss format. End: time the flare vanishes in hh:mm:ss format.

The dataset has 2,256 tuples divided as follows:

171 tuples with X class flares data (7.58%). 572 tuples with M class flares data (25.35%). 767 tuples with C class flares data (34%). 746 tuples with B class flares data (33.07%).

The data collected refer to the period between August 25, 1996 and May 29, 2017.

More information

  • DOI: 10.5281/zenodo.1048995
  • Language: en

Subjects

  • Space Weather, Solar Flares, Forecasting

Dates

  • Publication date: 2017
  • Issued: November 14, 2017

Notes

Other: The HighPIDS research group (http://highpids.ft.unicamp.br) use this dataset to apply Deep Learning algorithms to classify magnetograms of the Sun.

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Format

electronic resource

Relateditems

DescriptionItem typeRelationshipUri
IsVersionOfhttps://doi.org/10.5281/zenodo.1048994
IsPartOfhttps://zenodo.org/communities/highpids
IsPartOfhttps://zenodo.org/communities/zenodo