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No one-size-fits-all solution to clean GBIF

Species occurrence records provide the basis for many biodiversity studies. They derive from georeferenced specimens deposited in natural history collections and visual observations, such as those obtained through various mobile applications. Given the rapid increase in availability of such data, th...

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Autors principals: Alexander Zizka, Fernanda Antunes Carvalho, Alice Calvente, Mabel Rocio Baez-Lizarazo, Andressa Cabral, Jéssica Fernanda Ramos Coelho, Matheus Colli-Silva, Mariana Ramos Fantinati, Moabe F. Fernandes, Thais Ferreira-Araújo, Fernanda Gondim Lambert Moreira, Nathália Michellyda Cunha Santos, Tiago Andrade Borges Santos, Renata Clicia dos Santos-Costa, Filipe C. Serrano, Ana Paula Alves da Silva, Arthur de Souza Soares, Paolla Gabryelle Cavalcante de Souza, Eduardo Calisto Tomaz, Valéria Fonseca Vale, Tiago Luiz Vieira, Alexandre Antonelli
Format: Artigo
Idioma:Inglês
Publicat: PeerJ Inc. 2020-09-01
Col·lecció:PeerJ
Matèries:
Automated cleaning
Automated conservation assessment
Data quality
GBIF
Neotropics
Species distributions
Accés en línia:https://peerj.com/articles/9916.pdf
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