Georeferenced dataset of maritime piracy in the Gulf of Guinea from 2010 to 2021
Autor(a) principal: | |
---|---|
Data de Publicação: | 2023 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/161879 |
Resumo: | This work was supported by the national project MArIA - Plataforma Integrada de desenvolvimento de modelos de Inteligência artificial para o mar, with grant number POCI-05-5762-FSE-000400. Publisher Copyright: © 2023, The Author(s). |
id |
RCAP_0fde8158178deec5c9a3e9924cd966fd |
---|---|
oai_identifier_str |
oai:run.unl.pt:10362/161879 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Georeferenced dataset of maritime piracy in the Gulf of Guinea from 2010 to 2021Statistics and ProbabilityInformation SystemsEducationComputer Science ApplicationsStatistics, Probability and UncertaintyLibrary and Information SciencesSDG 17 - Partnerships for the GoalsThis work was supported by the national project MArIA - Plataforma Integrada de desenvolvimento de modelos de Inteligência artificial para o mar, with grant number POCI-05-5762-FSE-000400. Publisher Copyright: © 2023, The Author(s).Piracy has been a global concern and a threat to the safety of people performing maritime trade around the globe. Since ancient times maritime piracy has been a common practice that, unfortunately, has not ended in the current days. A georeferenced dataset providing the position, meteorologic conditions, and a description of the occurrence can provide essential information for analyzing this global phenomenon. The dataset focuses on the Gulf of Guinea (GoG) as an area dominated by corruption and weak supervision capacity by the local authorities. The time interval considered in this paper is between 2010 and 2021. Using this simple dataset, it is possible to analyze attributes such as when the piracy occurred or if the illegal activity involved deaths or kidnapping. The accuracy of the data was guaranteed by cross-referencing data sources, so we have 595 pirate attacks accurately described. This dataset can easily be used for data mining, allowing further analysis of the patterns and trends of pirate attacks in the GoG over time.CMA - Centro de Matemática e AplicaçõesInformation Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)RUNMoura, RicardoSantos, Nuno PessanhaRocha, AndréLobo, VictorNeto, Miguel de Castro2024-01-03T22:54:18Z2023-122023-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article11application/pdfhttp://hdl.handle.net/10362/161879eng2052-4463PURE: 78953982https://doi.org/10.1038/s41597-023-02706-xinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:44:41Zoai:run.unl.pt:10362/161879Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:58:40.324927Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Georeferenced dataset of maritime piracy in the Gulf of Guinea from 2010 to 2021 |
title |
Georeferenced dataset of maritime piracy in the Gulf of Guinea from 2010 to 2021 |
spellingShingle |
Georeferenced dataset of maritime piracy in the Gulf of Guinea from 2010 to 2021 Moura, Ricardo Statistics and Probability Information Systems Education Computer Science Applications Statistics, Probability and Uncertainty Library and Information Sciences SDG 17 - Partnerships for the Goals |
title_short |
Georeferenced dataset of maritime piracy in the Gulf of Guinea from 2010 to 2021 |
title_full |
Georeferenced dataset of maritime piracy in the Gulf of Guinea from 2010 to 2021 |
title_fullStr |
Georeferenced dataset of maritime piracy in the Gulf of Guinea from 2010 to 2021 |
title_full_unstemmed |
Georeferenced dataset of maritime piracy in the Gulf of Guinea from 2010 to 2021 |
title_sort |
Georeferenced dataset of maritime piracy in the Gulf of Guinea from 2010 to 2021 |
author |
Moura, Ricardo |
author_facet |
Moura, Ricardo Santos, Nuno Pessanha Rocha, André Lobo, Victor Neto, Miguel de Castro |
author_role |
author |
author2 |
Santos, Nuno Pessanha Rocha, André Lobo, Victor Neto, Miguel de Castro |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
CMA - Centro de Matemática e Aplicações Information Management Research Center (MagIC) - NOVA Information Management School NOVA Information Management School (NOVA IMS) RUN |
dc.contributor.author.fl_str_mv |
Moura, Ricardo Santos, Nuno Pessanha Rocha, André Lobo, Victor Neto, Miguel de Castro |
dc.subject.por.fl_str_mv |
Statistics and Probability Information Systems Education Computer Science Applications Statistics, Probability and Uncertainty Library and Information Sciences SDG 17 - Partnerships for the Goals |
topic |
Statistics and Probability Information Systems Education Computer Science Applications Statistics, Probability and Uncertainty Library and Information Sciences SDG 17 - Partnerships for the Goals |
description |
This work was supported by the national project MArIA - Plataforma Integrada de desenvolvimento de modelos de Inteligência artificial para o mar, with grant number POCI-05-5762-FSE-000400. Publisher Copyright: © 2023, The Author(s). |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-12 2023-12-01T00:00:00Z 2024-01-03T22:54:18Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/161879 |
url |
http://hdl.handle.net/10362/161879 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2052-4463 PURE: 78953982 https://doi.org/10.1038/s41597-023-02706-x |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
11 application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799138167403577344 |