Brazilian disaster datasets and real-world instances for optimization and machine learning

This dataset was consolidated and summarized from a series of open reports obtained in different websites of the government and other institutions. The data presented here were partially used to build real-world instances for the optimization problem of location-allocation of relief-aid items under socioeconomic concerns, in the context of Humanitarian Logistics. Particularly, the given dataset has been extended beyond disasters to include other information such as costs, distances and socioeconomic indicators.本数据集整合并汇总自从政府及其他机构的不同官方网站获取的一系列公开报告。本文所呈现的数据曾被部分用于构建人道主义物流（Humanitarian Logistics）场景下兼顾社会经济因素的救援物资选址-分配优化问题的真实场景实例。尤为重要的是，本数据集已突破灾害场景的范畴，新增了成本、距离及社会经济指标等相关信息。