sharick008/sgw-resilience-data

一个针对美国东南部和墨西哥湾沿岸飓风停电影响的预测特征表，完全基于公共来源构建。每行数据配对一次登陆飓风和一个县，包含该县的风暴暴露度、接近度以及观察到的停电客户峰值数量。数据表有27,216行（对应28场风暴和972个县），列包括风暴标识、县FIPS代码、距离、衰减风速、风暴速度、人口、风暴强度峰值和停电客户峰值等特征。覆盖范围从2014年（EAGLE-I数据开始）至2025年的美国东南部和墨西哥湾登陆飓风。数据来源包括NOAA HURDAT2、ORNL EAGLE-I和美国人口普查，用于预测飓风对电力中断的影响。A predictive feature table for the impacts of hurricane-induced power outages in the U.S. Southeast and Gulf Coast regions, constructed entirely from public sources. Each row pairs a landfalling hurricane with a single county, and contains features including the county's storm exposure, proximity to the storm, and the observed peak number of customers affected by power outages. The table has 27,216 rows, corresponding to 28 storms and 972 counties, with columns covering storm ID, county FIPS code, distance, attenuated wind speed, storm speed, population, peak storm intensity, and peak number of affected power customers, among other relevant features. This dataset covers landfalling hurricanes in the U.S. Southeast and Gulf Coast from 2014 (when the EAGLE-I dataset was initiated) to 2025. Its data sources include NOAA HURDAT2, ORNL EAGLE-I, and the U.S. Census Bureau, and it is developed for predicting the impacts of hurricanes on power outages.