Cascading of dry and wet extremes lead to higher risk of rice yield loss

This is the global rice yield and climate extreme dataset to the following research paper: "Cascading influence of dry and wet extremes leads to higher probability of rice yield loss". It includes the crop calendar dataset, global dataset of historical yield for major rice and secondary rice, and weekly scPDSI based on EAR5 reanalysis.本数据集对应研究论文《干湿极端事件的级联效应提升水稻减产概率》，为全球水稻产量与气候极端事件数据集。数据集涵盖作物物候期数据集、主栽水稻与次要种植水稻的历史产量全球数据集，以及基于EAR5再分析资料的周度自校准帕尔默干旱严重指数（scPDSI）。