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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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Gardado en:
Principais autores: 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
Formato: Artigo
Idioma:Inglês
Publicado: PeerJ Inc. 2020-09-01
Series:PeerJ
Assuntos:
Automated cleaning
Automated conservation assessment
Data quality
GBIF
Neotropics
Species distributions
Acceso en liña:https://peerj.com/articles/9916.pdf
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