Data science for Space Weather services in Argentina

Autores
Namour, Jorge H.; Torres Peralta, Ticiano; Molina, María G.; Gómez, Alejandro N.; Paz, Esteban; Delorme, Guadalupe; Dall’ara, Darío; Amaya, Guillermo; Cortés, Benjamín
Año de publicación
2021
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Space Weather services rely heavily on the data. Challenges include multiple data sources, multiple formats (not always structured data), raw data (direct from the instruments), different data resolutions (in time and in space), poor metadata, data missing (instrument failure, connectivity issues, etc.), bad calibrated data, among many other issues. Bearing in mind the above considerations, we present in this work the main data pipeline design and implementation details for the Tucumán Space Weather Center - TSWC (https://spaceweather.facet.unt.edu.ar/), Universidad Nacional de Tucumán in Argentina as a new web-based system for Space Weather services.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Data service
Space weath
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/140164
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/140164
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Data science for Space Weather services in ArgentinaNamour, Jorge H.Torres Peralta, TicianoMolina, María G.Gómez, Alejandro N.Paz, EstebanDelorme, GuadalupeDall’ara, DaríoAmaya, GuillermoCortés, BenjamínCiencias InformáticasData serviceSpace weathSpace Weather services rely heavily on the data. Challenges include multiple data sources, multiple formats (not always structured data), raw data (direct from the instruments), different data resolutions (in time and in space), poor metadata, data missing (instrument failure, connectivity issues, etc.), bad calibrated data, among many other issues. Bearing in mind the above considerations, we present in this work the main data pipeline design and implementation details for the Tucumán Space Weather Center - TSWC (https://spaceweather.facet.unt.edu.ar/), Universidad Nacional de Tucumán in Argentina as a new web-based system for Space Weather services.Sociedad Argentina de Informática e Investigación Operativa2021-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf143-147http://sedici.unlp.edu.ar/handle/10915/140164enginfo:eu-repo/semantics/altIdentifier/url/http://50jaiio.sadio.org.ar/pdfs/agranda/AGRANDA-17.pdfinfo:eu-repo/semantics/altIdentifier/issn/2683-8966info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/3.0/Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:35:34Zoai:sedici.unlp.edu.ar:10915/140164Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:35:34.461SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Data science for Space Weather services in Argentina
title Data science for Space Weather services in Argentina
spellingShingle Data science for Space Weather services in Argentina
Namour, Jorge H.
Ciencias Informáticas
Data service
Space weath
title_short Data science for Space Weather services in Argentina
title_full Data science for Space Weather services in Argentina
title_fullStr Data science for Space Weather services in Argentina
title_full_unstemmed Data science for Space Weather services in Argentina
title_sort Data science for Space Weather services in Argentina
dc.creator.none.fl_str_mv Namour, Jorge H.
Torres Peralta, Ticiano
Molina, María G.
Gómez, Alejandro N.
Paz, Esteban
Delorme, Guadalupe
Dall’ara, Darío
Amaya, Guillermo
Cortés, Benjamín
author Namour, Jorge H.
author_facet Namour, Jorge H.
Torres Peralta, Ticiano
Molina, María G.
Gómez, Alejandro N.
Paz, Esteban
Delorme, Guadalupe
Dall’ara, Darío
Amaya, Guillermo
Cortés, Benjamín
author_role author
author2 Torres Peralta, Ticiano
Molina, María G.
Gómez, Alejandro N.
Paz, Esteban
Delorme, Guadalupe
Dall’ara, Darío
Amaya, Guillermo
Cortés, Benjamín
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Data service
Space weath
topic Ciencias Informáticas
Data service
Space weath
dc.description.none.fl_txt_mv Space Weather services rely heavily on the data. Challenges include multiple data sources, multiple formats (not always structured data), raw data (direct from the instruments), different data resolutions (in time and in space), poor metadata, data missing (instrument failure, connectivity issues, etc.), bad calibrated data, among many other issues. Bearing in mind the above considerations, we present in this work the main data pipeline design and implementation details for the Tucumán Space Weather Center - TSWC (https://spaceweather.facet.unt.edu.ar/), Universidad Nacional de Tucumán in Argentina as a new web-based system for Space Weather services.
Sociedad Argentina de Informática e Investigación Operativa
description Space Weather services rely heavily on the data. Challenges include multiple data sources, multiple formats (not always structured data), raw data (direct from the instruments), different data resolutions (in time and in space), poor metadata, data missing (instrument failure, connectivity issues, etc.), bad calibrated data, among many other issues. Bearing in mind the above considerations, we present in this work the main data pipeline design and implementation details for the Tucumán Space Weather Center - TSWC (https://spaceweather.facet.unt.edu.ar/), Universidad Nacional de Tucumán in Argentina as a new web-based system for Space Weather services.
publishDate 2021
dc.date.none.fl_str_mv 2021-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/140164
url http://sedici.unlp.edu.ar/handle/10915/140164
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://50jaiio.sadio.org.ar/pdfs/agranda/AGRANDA-17.pdf
info:eu-repo/semantics/altIdentifier/issn/2683-8966
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/3.0/
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/3.0/
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
dc.format.none.fl_str_mv application/pdf
143-147
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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