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dc.contributor.otherUCH. Departamento de Producción y Sanidad Animal, Salud Pública Veterinaria y Ciencia y Tecnología de los Alimentos-
dc.creatorJuznic Zonta, Zivko-
dc.creatorSanpera Calbet, Isis-
dc.creatorEritja, Roger-
dc.creatorPalmer, John R. B.-
dc.creatorEscobar, Agustí-
dc.creatorGarriga, Joan-
dc.creatorAlarcón Elbal, Pedro María-
dc.date.accessioned2024-02-13T09:00:25Z-
dc.date.available2024-02-13T09:00:25Z-
dc.date.issued2022-05-30-
dc.identifier.citationJužnič-Zonta, Z., Sanpera-Calbet, I., Eritja, R., Palmer, J.R.B., Escobar, A., Garriga, J., Oltra, A., Richter-Boix, A., Schaffner, F., Torre, A. della, Miranda, M.A., Koopmans, M., Barzon, L., Ferre, F.B., Mosquito Alert Digital Entomology Network & Mosquito Alert Community. (2022). Mosquito alert: leveraging citizen science to create a GBIF mosquito occurrence dataset. Gigabyte. DOI: https://doi.org/10.46471/gigabyte.54es_ES
dc.identifier.issn2709-4715 (Electrónico)-
dc.identifier.urihttp://hdl.handle.net/10637/15466-
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.es_ES
dc.language.isoenes_ES
dc.publisherGigaSciencees_ES
dc.relation.ispartofGigabyte-
dc.rightshttp://creativecommons.org/licenses/by/4.0/deed.es-
dc.rightsOpen Access-
dc.subjectCulícidoses_ES
dc.subjectMosquitoeses_ES
dc.subjectCiencia abiertaes_ES
dc.subjectOpen sciencees_ES
dc.subjectBiodiversidades_ES
dc.subjectBiodiversityes_ES
dc.subjectEcologíaes_ES
dc.subjectEcologyes_ES
dc.subjectTaxonomía animales_ES
dc.subjectAnimal taxonomyes_ES
dc.titleMosquito alert: leveraging citizen science to create a GBIF mosquito occurrence datasetes_ES
dc.typeArtículoes_ES
dc.identifier.doihttps://doi.org/10.46471/gigabyte.54-
dc.centroUniversidad Cardenal Herrera-CEU-
Aparece en las colecciones: Dpto. Producción y Sanidad Animal, Salud Pública Veterinaria y Ciencia y Tecnología de los Alimentos




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