Dataset Information

Data set for solar flare prediction using helioseismic and magnetic imager vector magnetic field data.

ABSTRACT: It is known that solar flares can affect the near-Earth space, incurring in consequences for radio communications. Therefore, there is a need to research systems for monitoring solar events. This article presents a data set which can be used in the analysis of such events. This data set originated from a set of records from magnetic attributes and solar flare data. In order to create this data set, authors used the SunPy library which provided access to data from the Joint Science Operations Center (JSOC) and Space Weather Prediction Center (SWPC). By integrating data from those two sources, 8,874 samples were obtained comprehending the period between May, 2010 and December, 2019. The collected data were stored as a CSV data set. This data set can be used to support the research of solar flare forecasting, as well as to be compared to other data sets or expanded with new attributes.

SUBMITTER: Hollanda A

PROVIDER: S-EPMC8217687 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Data set for solar flare prediction using helioseismic and magnetic imager vector magnetic field data.

Hollanda Alciomar A Antunes Da Silva Ana Estela AE Cinto Tiago T

Data in brief 20210609

It is known that solar flares can affect the near-Earth space, incurring in consequences for radio communications. Therefore, there is a need to research systems for monitoring solar events. This article presents a data set which can be used in the analysis of such events. This data set originated from a set of records from magnetic attributes and solar flare data. In order to create this data set, authors used the SunPy library which provided access to data from the Joint Science Operations Cen ...[more]

PMID: 34189198

Similar Datasets

Project description:This article focuses on mapping the Sun's large-scale magnetic fields. In particular, the model considers how photospheric fields evolve in time. Our solar field mapping method uses Netlogo's cellular automata software via algorithms to carry out the movement of magnetic field on the Sun via agents. This model's entities consist of two breeds: blue and red agents. The former carry a fixed amount of radially outward magnetic flux: 10(23) Mx, and the latter, the identical amount of inward directed flux. The individual agents are distinguished, for clarity, by various shades of blue and red arrows whose orientation indicates the direction the agents are moving, relative to the near-steady bulk fluid motions. The fluid motions generally advect the field with the well known meridional circulation and differential rotation. Our model predominantly focuses on spatial and temporal variations from the bulk fluid motions owing to magnetic interactions. There are but a few effects that agents have on each other: i) while at the poles, field agents are connected via the Babcock - Leighton (B - L) subsurface field to other latitudes. This allows them to undertake two duties there: A) the B - L subsurface field spawns the next generation of new magnetic field via new agents, and B) the B - L subsurface field attracts lower-latitude fields via the "long-range" magnetic stress tension; ii) nearby agents affect each other's motion by short-range interactions; and iii) through annihilation: when opposite field agents get too close to each other, they disappear in pairs. The behavior of the agents' long- and short-range magnetic forces is discussed within this paper as well as the model's use of internal boundary conditions. The workings of the model may be seen in the accompanying movies and/or by using the software available via SpringerPlus' website, or on the Netlogo (TM) community website, where help is readable available, and should all these fail, some help from the author.

Dataset Information

Data set for solar flare prediction using helioseismic and magnetic imager vector magnetic field data.

Publications

Data set for solar flare prediction using helioseismic and magnetic imager vector magnetic field data.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets