Published 2024 | Version v2
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New perspectives of Annelida collection (National Museum/UFRJ) database: using data visualization to analyze and manage biological collections

Authors/Creators

  • 1. Laboratório de Biodiversidade de Annelida (LaBiAnne), Departamento de Invertebrados, Museu Nacional, Universidade Federal do Rio de Janeiro (UFRJ), Quinta da Boa Vista, s/n, Horto Botânico – CEP 20940-040, São Cristóvão, RJ, Brasil.
  • 2. Escola de Matemática Aplicada, Fundação Getúlio Vargas (FGV).

Description

Interactive versions of the visual representations were made using the Annelida collection (National Museum/UFRJ) database with Altair library in Python 3 language associated with manuscript "New perspectives of Annelida collection (National Museum/UFRJ) database: using data visualization to analyze and manage biological collections" (Messias et al., 2024).

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Figure 1 - Methods - Steps.jpg

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