PurpleAirSF

PurpleAirSF数据集由技术创新研究院创建，专注于提供高精度的空气质量预测数据。该数据集包含316个传感器站点的数据，覆盖了1.5年的时间跨度，具有高时空分辨率和多样的空气质量指标。数据集的创建过程中，通过PurpleAir API收集原始数据，并经过精细的预处理，确保数据质量。PurpleAirSF数据集适用于研究空气污染模式、健康影响评估及环境决策支持，旨在解决空气质量预测中的数据挑战。

The PurpleAirSF dataset was developed by the Technology Innovation Institute, which focuses on providing high-precision air quality prediction data. This dataset includes data from 316 sensor stations, spans a 1.5-year time period, and features high spatiotemporal resolution and a wide range of air quality metrics. During its construction, raw data was collected via the PurpleAir API, followed by meticulous preprocessing to ensure data quality. The PurpleAirSF dataset can be applied to research on air pollution patterns, health impact assessment and environmental decision support, aiming to resolve data challenges in air quality prediction.