Plant invasion in Mediterranean Europe: current hotspots and future scenarios

These are the raw data that can be used to reproduce results of the paper: \"Plant invasion in Mediterranean Europe: current invasion hotspots and future scenarios\". 
The Mediterranean Basin has historically been subject to alien plant invasions that threaten its unique biodiversity. This seasonally dry and densely populated region is undergoing severe climatic and socioeconomic changes, and it is unclear whether these changes will worsen or mitigate plant invasions. Predictions are often biased, as species may not be in equilibrium in the invaded environment, depending on their invasion stage and ecological characteristics. To address future predictions uncertainty, we identified invasion hotspots across multiple biased modelling scenarios and ecological characteristics of successful invaders.
We selected 92 alien plant species widespread in Mediterranean Europe and compiled data on their distribution in the Mediterranean and worldwide. We combined these data with environmental and prop..., Datasets from the EVA and GBIF were processed following the Material and Methods section of the paper, to derive the attached files of regional and global presences and background points. 
The environmental variables used were processed as explained in the paper.
Files of distances to the cities, ports and coast were elaborated from the raw data downloadable as reported in the data availability statement., The data is in .csv format and can be read by any text editor file. We recommend their usage in R. To reproduce analyses please use Biomod 2 R package. , Data files included:

1\) all.pres_global.csv: is a classic plot (on rows) x species (in column) dataset of presences for all alien species recorded at the global scale. These contain the Global Biodiversity Information Facility (GBIF) and European Vegetation Archive (EVA) presences of alien species recorded globally in the global buffer.

Columns correspond to:

* source: can be either GBIF or EVA, depending on the original dataset from which data are sourced
* Longitude\Latitude: two columns to georeference plots, coordinates in geographic WGS 84
* cells: a unique identifier shared among all the datasets to identify the raster cell to which all other columns refer
* 93 columns of species names: these columns display 1 if the corresponding alien species have been found in the corresponding cell, and 0 if at least one other alien species has been found in the same cell. In this case, 0 does not correspond to absences but should be interpreted as a table filler
* 7 columns for ...