Predicting wildlife susceptibility to infectious diseases atglobal scales

Dataset included as supplementary material of  the paper entitled https://doi.org/10.5281/zenodo.4914750.  It contains phylogenetic, geographical and environmental distance for birds and bats, counts of incidence of  Plasmodium relictum on birds, counts of incidence of West Nile Virus on birds and counts of incidence of coronavirus in bats, and susceptibility calculated by the random forest algorithm. Also we include the r scripts to run the models, and the outputs of the models after 1000 runs.