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

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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Main Authors: Carol X. Garzon-Lopez, Lucy Bastin, Giles M. Foody, Duccio Rocchini
Format: Article
Language:English
Published: Elsevier 2016-06-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340916300804
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spelling doaj-dd97abf8187741f1b132a52d24bf774b2020-11-25T02:05:11ZengElsevierData in Brief2352-34092016-06-017476479A virtual species set for robust and reproducible species distribution modelling testsCarol X. Garzon-Lopez0Lucy Bastin1Giles M. Foody2Duccio Rocchini3Department of Biodiversity and Molecular Ecology, Research and Innovation Centre, Fondazione Edmund Mach, Via E. Mach 1, 38010 San Michele all׳Adige, TN, Italy; Corresponding author.School of Engineering and Applied Science, Aston University, Birmingham, UKSchool of Geography, University of Nottingham, University Park, Nottingham NG7 2RD, UKDepartment of Biodiversity and Molecular Ecology, Research and Innovation Centre, Fondazione Edmund Mach, Via E. Mach 1, 38010 San Michele all׳Adige, TN, ItalyPredicting 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. Keywords: Species distribution models, Virtual species, Habitat suitabilityhttp://www.sciencedirect.com/science/article/pii/S2352340916300804
collection DOAJ
language English
format Article
sources DOAJ
author Carol X. Garzon-Lopez
Lucy Bastin
Giles M. Foody
Duccio Rocchini
spellingShingle Carol X. Garzon-Lopez
Lucy Bastin
Giles M. Foody
Duccio Rocchini
A virtual species set for robust and reproducible species distribution modelling tests
Data in Brief
author_facet Carol X. Garzon-Lopez
Lucy Bastin
Giles M. Foody
Duccio Rocchini
author_sort Carol X. Garzon-Lopez
title 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_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_sort virtual species set for robust and reproducible species distribution modelling tests
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2016-06-01
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. Keywords: Species distribution models, Virtual species, Habitat suitability
url http://www.sciencedirect.com/science/article/pii/S2352340916300804
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