Data for: Impacts of extreme precipitation events in water quality: a scientometric analysis in global scale

Detalhes bibliográficos
Autor(a) principal: Moreira, Caio V. M.
Data de Publicação: 2023
Tipo de documento: Conjunto de dados
Título da fonte: SciELO Data
Texto Completo: https://doi.org/10.48331/scielodata.QCGJEB
Resumo: This study aimed to evaluate spatial and temporal patterns of extreme events related to precipitation on a global scale, identifying the main impacts and the regions susceptible to these phenomena in a scientometric approach.
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spelling https://doi.org/10.48331/scielodata.QCGJEBMoreira, Caio V. M.Data for: Impacts of extreme precipitation events in water quality: a scientometric analysis in global scaleSciELO DataThis study aimed to evaluate spatial and temporal patterns of extreme events related to precipitation on a global scale, identifying the main impacts and the regions susceptible to these phenomena in a scientometric approach.2023-06-22info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0Earth and Environmental SciencesClimate changeDroughtStormsRainfallEutrophicationinfo:eu-repo/semantics/datasetinfo:eu-repo/semantics/datasetinfo:eu-repo/semantics/publishedVersionDatasetreponame:SciELO Datainstname:Scientific Electronic Library Online (SCIELO)instacron:SCIRepositório de Dados de PesquisaONGhttps://data.scielo.org/oai/requestdata@scielo.orgopendoar:2024-04-11T06:12:31SciELO Data - Scientific Electronic Library Online (SCIELO)falsedoi:10.48331/scielodata.QCGJEB
dc.title.none.fl_str_mv Data for: Impacts of extreme precipitation events in water quality: a scientometric analysis in global scale
title Data for: Impacts of extreme precipitation events in water quality: a scientometric analysis in global scale
spellingShingle Data for: Impacts of extreme precipitation events in water quality: a scientometric analysis in global scale
Moreira, Caio V. M.
Earth and Environmental Sciences
Climate change
Drought
Storms
Rainfall
Eutrophication
title_short Data for: Impacts of extreme precipitation events in water quality: a scientometric analysis in global scale
title_full Data for: Impacts of extreme precipitation events in water quality: a scientometric analysis in global scale
title_fullStr Data for: Impacts of extreme precipitation events in water quality: a scientometric analysis in global scale
title_full_unstemmed Data for: Impacts of extreme precipitation events in water quality: a scientometric analysis in global scale
title_sort Data for: Impacts of extreme precipitation events in water quality: a scientometric analysis in global scale
author Moreira, Caio V. M.
author_facet Moreira, Caio V. M.
author_role author
dc.contributor.author.fl_str_mv Moreira, Caio V. M.
dc.subject.none.fl_str_mv Earth and Environmental Sciences
Climate change
Drought
Storms
Rainfall
Eutrophication
topic Earth and Environmental Sciences
Climate change
Drought
Storms
Rainfall
Eutrophication
description This study aimed to evaluate spatial and temporal patterns of extreme events related to precipitation on a global scale, identifying the main impacts and the regions susceptible to these phenomena in a scientometric approach.
publishDate 2023
dc.date.issued.fl_str_mv 2023-06-22
dc.type.openaire.fl_str_mv info:eu-repo/semantics/dataset
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.url.fl_str_mv https://doi.org/10.48331/scielodata.QCGJEB
url https://doi.org/10.48331/scielodata.QCGJEB
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0
dc.format.none.fl_str_mv Dataset
dc.publisher.none.fl_str_mv SciELO Data
publisher.none.fl_str_mv SciELO Data
dc.source.none.fl_str_mv reponame:SciELO Data
instname:Scientific Electronic Library Online (SCIELO)
instacron:SCI
instname_str Scientific Electronic Library Online (SCIELO)
instacron_str SCI
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collection SciELO Data
repository.name.fl_str_mv SciELO Data - Scientific Electronic Library Online (SCIELO)
repository.mail.fl_str_mv data@scielo.org
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