Wisconsin Exposure dataset (2018-2023, County-based, Temperature, HI, WBGT, NO2, O3, CO. BCPI, BCPO)

This dataset contains county-level daily environmental exposure data for the state of Wisconsin covering the summer seasons from 2018 to 2023. Temperature-related resources are obtained from NSRDB (The National Solar Radiation Database), and air-pollutant related items are obtained from GEOS-CF data from NASA, and reanalyzed. Each record represents a single county–day observation and includes meteorological variables (e.g., ambient temperature, heat index, wet bulb globe temperature) and air pollution metrics (e.g., PM₂.₅, ozone, nitrogen dioxide, carbon monoxide, and black carbon–related indicators). Exposure values are summarized as daily means, daily maxima, or daytime averages, depending on the variable. The dataset is designed to support epidemiologic analyses of short-term exposure effects, including linkage to individual-level health data in time-stratified case-crossover or related study designs. County identifiers and calendar dates allow direct temporal and spatial alignment with health outcome data, while the standardized structure facilitates reproducible exposure assignment across multiple health endpoints and analytical model.本数据集包含美国威斯康星州2018至2023年夏季的县级每日环境暴露数据。其中温度相关数据源自国家太阳辐射数据库（NSRDB，National Solar Radiation Database），空气污染相关指标则取自美国国家航空航天局（NASA）的GEOS-CF数据并经再分析处理。每条记录对应单个县-日的观测样本，涵盖气象变量（如环境温度、热指数、湿球黑球温度）与空气污染指标（如PM₂.₅、臭氧、二氧化氮、一氧化碳及黑碳相关表征物）。暴露值根据变量类型分别汇总为日均值、日最大值或日间平均值。 本数据集旨在支持短期暴露效应的流行病学分析，包括在时间分层病例交叉或相关研究设计中与个体层面健康数据进行关联匹配。县级标识符与日历日期可实现与健康结局数据的直接时空对齐，而标准化的数据结构则便于在多健康结局与分析模型中实现可重复的暴露赋值。