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dc.contributor.authorGonzález, Mikel A.-
dc.date.accessioned2024-06-14T19:41:17Z-
dc.date.available2024-06-14T19:41:17Z-
dc.date.issued2022-
dc.identifier.citationGigabyte, 54, 1-13; 2022-
dc.identifier.urihttp://cris.unibe.edu.do/handle/123456789/450-
dc.description.abstractThe Mosquito Alert dataset includes occurrence records of adult mosquitoes collected worldwide in 2014–2020 through Mosquito Alert, a citizen science system for investigating and managing disease-carrying mosquitoes. Records are linked to citizen science-submitted photographs and validated by entomologists to determine the presence of five targeted European mosquito vectors: Aedes albopictus, Ae. aegypti, Ae. japonicus, Ae. koreicus, and Culex pipiens. Most records are from Spain, reflecting Spanish national and regional funding, but since autumn 2020 substantial records from other European countries are included, thanks to volunteer entomologists coordinated by the AIM-COST Action, and to technological developments to increase scalability. Among other applications, the Mosquito Alert dataset will help develop citizen science-based early warning systems for mosquito-borne disease risk. It can also be reused for modelling vector exposure risk, or to train machine-learning detection and classification routines on the linked images, to assist with data validation and establishing automated alert systems.-
dc.language.isoEnglish-
dc.publisherGigaScience Press-
dc.relation.ispartofGigabyte-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectCiencias de la Vida-
dc.subjectCiencias de la Salud-
dc.titleMosquito alert: leveraging citizen science to create a GBIF mosquito occurrence dataset-
dc.typeJournal Article-
dc.rights.licenseThis is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted reuse, distribution, and reproduction in any medium, provided the or original work is properly cited.-
dc.identifier.doihttps://doi.org/10.46471/gigabyte.54-
dc.rights.holder© The Author(s) 2022.-
dc.contributor.affiliationInstituto de Medicina Tropical y Salud Global (IMTSAG)-
dc.relation.issn2709-4715-
dc.subject.keywordsEcology-
dc.subject.keywordsBiodiversity-
dc.subject.keywordsTaxonomy-
dc.contributor.authorsJužnič-Zonta, Ž. et al.-
dc.typeofaccessOpen Access-
dc.contributor.affiliationinstitutionCentre d’Estudis Avançats de Blanes (CEAB-CSIC)-
dc.contributor.affiliationcountrySpain-
item.openairetypeJournal Article-
item.fulltextCon texto completo -
item.languageiso639-1English-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextopen-
crisitem.author.deptInstituto de Medicina Tropical y Salud Global (IMTSAG)-
crisitem.author.parentorgUniversidad Iberoamericana (UNIBE)-
Aparece en las colecciones: Publicaciones del IMTSAG-UNIBE
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