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Eco-ISEA3H, a machine learning ready spatial database for ecometric and species distribution modeling

We present the Eco-ISEA3H database, a compilation of global spatial data characterizing climate, geology, land cover, physical and human geography, and the geographic ranges of nearly 900 large mammalian species. The data are tailored for machine learning (ML)-based ecological modeling, and are inte...

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Detalles Bibliográficos
Autores principales: Mechenich, Michael F., Žliobaitė, Indrė
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905527/
https://www.ncbi.nlm.nih.gov/pubmed/36750720
http://dx.doi.org/10.1038/s41597-023-01966-x