Air Quality Index (AQI) data from PurpleAir sensor at H.J. Andrews Experimental Forest LTER

This dataset contains hourly air quality and meteorological measurements collected from a PurpleAir sensor deployed at the H.J. Andrews Experimental Forest Long Term Ecological Research (LTER) site. The data includes four variables: timestamp (in Pacific Time), relative humidity (%), temperature (°C), and particulate matter concentrations (PM2.5 in µg/m³ using the CF=1 correction factor).

The sensor provides continuous monitoring of local air quality conditions, with particular focus on fine particulate matter that can impact ecosystem health and visibility. Data are recorded at hourly intervals and timestamped in ISO 8601 format with UTC offset. PM2.5 values are reported using PurpleAir's CF=1 (Correction Factor 1) algorithm, which is optimized for atmospheric particulate matter.

This dataset supports long-term environmental monitoring objectives at the Andrews Forest LTER and provides baseline air quality data for research on atmospheric conditions, wildfire smoke impacts, and climate-ecosystem interactions in Pacific Northwest forest ecosystems.

本数据集包含部署于H.J.安德鲁斯实验森林长期生态研究（Long Term Ecological Research，缩写LTER）站点的PurpleAir传感器采集的逐小时空气质量与气象观测数据。数据集涵盖四类变量：太平洋时区时间戳、相对湿度（%）、气温（℃），以及采用CF=1校正因子计算的细颗粒物PM2.5浓度（单位为µg/m³）。
该传感器可对本地空气质量状况开展连续监测，重点关注可影响生态系统健康与能见度的细颗粒物。数据以逐小时间隔进行记录，并采用带有UTC偏移量的ISO 8601格式进行时间戳标注。PM2.5数值采用PurpleAir的CF=1（校正因子1）算法进行报告，该算法针对大气颗粒物进行了优化适配。
本数据集可支撑安德鲁斯森林LTER站点的长期环境监测目标，并为太平洋西北林区的大气状况、野火烟雾影响以及气候-生态系统相互作用相关研究提供空气质量基准数据。