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.
Steffi Heinrichs, Helge Walentowski, Erwin Bergmeier, Karl Heinz Mellert, Adrian Indreica, Yakov Kuzyakov, Christoph Leuschner, Any Mary Petriţan, Marius Teodosiu
Fons van der Plas, Sophia Ratcliffe, Paloma Ruiz‐Benito, Michael Scherer‐Lorenzen, Kris Verheyen, Christian Wirth, Miguel Á. Zavala, Evy Ampoorter, Lander Baeten, Luc Barbaro, Cristina C. Bastías, Jürgen Bauhus, Raquel Benavides, Adam Benneter, Damien Bonal, Olivier Bouriaud, Helge Bruelheide, Filippo Bussotti, Monique Carnol, Bastien Castagneyrol, Yohan Charbonnier, Johannes H. C. Cornelissen, Jonas Dahlgren,
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