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Machine learning sheds light on physical-chemical and biological parameters leading to Abrolhos coral reef microbialization.
Ahmadi, Reza Amir; Varasteh, Tooba; Silveira, Cynthia B; Walter, Juline; Siegle, Eduardo; Omachi, Claudia; de Rezende, Carlos Eduardo; Francini-Filho, Ronaldo B; Thompson, Cristiane; Tschoeke, Diogo; Bahiense, Laura; Thompson, Fabiano L.
  • Ahmadi RA; Systems Engineer and Computer Science Program, Alberto Luiz Coimbra Institute, Graduate School and Research in Engineering, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
  • Varasteh T; Institute of Biology, Federal University of Rio de Janeiro, Rio de Janeiro, RJ 21941-599, Brazil.
  • Silveira CB; Department of Biology, University of Miami, Coral Gables, FL 33146, United States of America.
  • Walter J; Institute of Biology, Federal University of Rio de Janeiro, Rio de Janeiro, RJ 21941-599, Brazil.
  • Siegle E; Instituto Oceanográfico, University of São Paulo, São Paulo, Brazil.
  • Omachi C; Instituto Oceanográfico, University of São Paulo, São Paulo, Brazil.
  • de Rezende CE; Environmental Sciences Laboratory (LCA), Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Campos de Goytacazes, Brazil.
  • Francini-Filho RB; Centro de Biologia Marinha da USP, Universidade de São Paulo, São Paulo, Brazil.
  • Thompson C; Institute of Biology, Federal University of Rio de Janeiro, Rio de Janeiro, RJ 21941-599, Brazil.
  • Tschoeke D; Systems Engineer and Computer Science Program, Alberto Luiz Coimbra Institute, Graduate School and Research in Engineering, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil; Institute of Biology, Federal University of Rio de Janeiro, Rio de Janeiro, RJ 21941-599, Brazil.
  • Bahiense L; Systems Engineer and Computer Science Program, Alberto Luiz Coimbra Institute, Graduate School and Research in Engineering, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil. Electronic address: laura@cos.ufrj.br.
  • Thompson FL; Institute of Biology, Federal University of Rio de Janeiro, Rio de Janeiro, RJ 21941-599, Brazil. Electronic address: fabianothompson1@gmail.com.
Sci Total Environ ; 891: 164465, 2023 Sep 15.
Article en En | MEDLINE | ID: mdl-37247740
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Antozoos / Arrecifes de Coral Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Antozoos / Arrecifes de Coral Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Año: 2023 Tipo del documento: Article