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

Publication date: Available online 2 March 2016
Source:Data in Brief
Author(s): Carol X. Garzon-Lopez, Lucy Bastin, Giles M. Foody, Duccio Rocchini
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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