A virtual species set for robust and reproducible species distribution modelling tests

Predicting species potential and future distribution has become a relevant tool in biodiversity monitoring and conservation. In this data article we present the suitability map of a virtual species generated based on two bioclimatic variables, and a dataset containing more than 700,000 random observ...

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Detalles Bibliográficos
Autores principales: Garzon-Lopez, Carol X., Bastin, Lucy, Foody, Giles M., Rocchini, Duccio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4789307/
https://www.ncbi.nlm.nih.gov/pubmed/27014734
http://dx.doi.org/10.1016/j.dib.2016.02.058
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author Garzon-Lopez, Carol X.
Bastin, Lucy
Foody, Giles M.
Rocchini, Duccio
author_facet Garzon-Lopez, Carol X.
Bastin, Lucy
Foody, Giles M.
Rocchini, Duccio
author_sort Garzon-Lopez, Carol X.
collection PubMed
description Predicting species potential and future distribution has become a relevant tool in biodiversity monitoring and conservation. In this data article we present the suitability map of a virtual species generated based on two bioclimatic variables, and a dataset containing more than 700,000 random observations at the extent of Europe. The dataset includes spatial attributes such as: distance to roads, protected areas, country codes, and the habitat suitability of two spatially clustered species (grassland and forest species) and a wide-spread species.
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spelling pubmed-47893072016-03-24 A virtual species set for robust and reproducible species distribution modelling tests Garzon-Lopez, Carol X. Bastin, Lucy Foody, Giles M. Rocchini, Duccio Data Brief Data Article Predicting species potential and future distribution has become a relevant tool in biodiversity monitoring and conservation. In this data article we present the suitability map of a virtual species generated based on two bioclimatic variables, and a dataset containing more than 700,000 random observations at the extent of Europe. The dataset includes spatial attributes such as: distance to roads, protected areas, country codes, and the habitat suitability of two spatially clustered species (grassland and forest species) and a wide-spread species. Elsevier 2016-03-02 /pmc/articles/PMC4789307/ /pubmed/27014734 http://dx.doi.org/10.1016/j.dib.2016.02.058 Text en © 2016 Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Garzon-Lopez, Carol X.
Bastin, Lucy
Foody, Giles M.
Rocchini, Duccio
A virtual species set for robust and reproducible species distribution modelling tests
title A virtual species set for robust and reproducible species distribution modelling tests
title_full A virtual species set for robust and reproducible species distribution modelling tests
title_fullStr A virtual species set for robust and reproducible species distribution modelling tests
title_full_unstemmed A virtual species set for robust and reproducible species distribution modelling tests
title_short A virtual species set for robust and reproducible species distribution modelling tests
title_sort virtual species set for robust and reproducible species distribution modelling tests
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4789307/
https://www.ncbi.nlm.nih.gov/pubmed/27014734
http://dx.doi.org/10.1016/j.dib.2016.02.058
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