Time series dataset of precipitation, temperature, and vegetation index for Ecuador's parishes, 2005–2024

This dataset provides monthly, parish-level summaries of three key environmental variables for continental Ecuador from January 2005 to December 2024: precipitation (mm), land surface temperature (°C), and the normalized difference vegetation index (NDVI). For each of the 1,034 parishes defined by the 2022 INEC administrative boundaries, four statistical measures are provided: minimum, maximum, mean, and standard deviation.

Data were derived from NASA’s Earth Observing System Data and Information System (EOSDIS) satellite products (GPM IMERG for precipitation, MODIS 11C3 for temperature, and MODIS 13C2 for NDVI). All products were processed using TerrSet, reprojected to UTM with 100×100 m pixels, and aggregated at the parish level using zonal statistics.

Files are provided in Excel format (.xlsx), one file per variable, with four sheets corresponding to each summary statistic. Column headers include official INEC parish codes, parish names, year, month, and value.

This dataset is suitable for environmental monitoring, climate variability analysis, spatial epidemiology, and public health research, particularly for studying the environmental determinants of vector-borne and climate-sensitive diseases.

本数据集涵盖2005年1月至2024年12月期间厄瓜多尔大陆地区三类核心环境变量的月度堂区级汇总统计数据，具体包括降水量（单位：毫米，mm）、地表温度（单位：摄氏度，°C）以及归一化差分植被指数（Normalized Difference Vegetation Index，NDVI）。依据2022年厄瓜多尔国家统计与普查研究所（Instituto Nacional de Estadística y Censos，INEC）划定的行政边界，本次统计覆盖共计1034个堂区，每个堂区均提供四项统计指标：最小值、最大值、均值与标准差。
本数据集的数据源自美国国家航空航天局（National Aeronautics and Space Administration，NASA）地球观测系统数据与信息系统（Earth Observing System Data and Information System，EOSDIS）的卫星产品：其中降水量数据采用GPM IMERG产品，地表温度数据采用MODIS 11C3产品，NDVI数据采用MODIS 13C2产品。所有卫星产品均通过TerrSet软件完成处理，重投影至通用横轴墨卡托投影（Universal Transverse Mercator，UTM）坐标系，像素分辨率设置为100×100米，并通过分区统计方法聚合至堂区级尺度。
数据集以Excel格式（.xlsx）存储，每个变量对应一个独立文件，每个文件包含四张工作表，分别对应前述四项汇总统计指标。表格列标题包含官方INEC堂区代码、堂区名称、年份、月份以及变量数值。
本数据集适用于环境监测、气候变异性分析、空间流行病学及公共卫生研究领域，尤其可用于探究媒介传播疾病与气候敏感性疾病的环境决定因素。