Predicting wildlife susceptibility to infectious diseases atglobal scales

Dataset included as supplementary material of the paper entitled Predicting wildlife susceptibility to infectious diseases at global scales. It contains phylogenetic, geographical and environmental distance for birds and bats, counts of incidence of <em>Plasmodium relictum</em> 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.本数据集为题为《全球尺度野生动物传染病易感性预测》的学术论文的补充材料。数据集涵盖鸟类与蝙蝠的系统发育距离、地理距离及环境距离数据；包含鸟类间日疟原虫（Plasmodium relictum）感染计数、鸟类西尼罗河病毒（West Nile Virus）感染计数、蝙蝠冠状病毒感染计数，以及通过随机森林算法计算得到的易感性数据。