Supplementary materials for "GLOSSA: a user-friendly R Shiny application for Bayesian machine learning analysis of marine species distribution" [Dataset]

This repository provides the supplementary code and data for the three worked examples presented in the manuscript "GLOSSA: a user-friendly R Shiny application for Bayesian machine learning analysis of marine species distribution". The GLOSSA website can be accessed at https://imares-group...

Descripción completa

Detalles Bibliográficos
Autores: Mestre-Tomás, Jorge, Fuster-Alonso, Alba, Bellido, José M., Coll, Marta
Tipo de recurso: conjunto de datos
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:dnet:digitalcsic_::1ffa1251b77517a39cd16f99e5db9969
Acceso en línea:http://hdl.handle.net/10261/430982
Access Level:acceso abierto
Palabra clave:Conserve and sustainably use the oceans, seas and marine resources for sustainable development
Descripción
Sumario:This repository provides the supplementary code and data for the three worked examples presented in the manuscript "GLOSSA: a user-friendly R Shiny application for Bayesian machine learning analysis of marine species distribution". The GLOSSA website can be accessed at https://imares-group.github.io/glossa/. Occurrence data for Thunnus albacares are available from OBIS (https://obis.org/taxon/127027), for Caretta caretta from GBIF (https://doi.org/10.15468/dl.es7562), and for Siganus luridus from the GreekMarineICAS geodataset (https://doi.org/10.25607/t2smha