Data supporting: A novel approach to long-term source attribution of ambient PM2.5 from residential solid fuel burning using the FUSTA methodology

This dataset contains long-term ambient PM2.5 concentration and meteorological data used to develop and apply the FUSTA methodology for attributing residential solid fuel burning (RSFB) contributions to ambient air pollution. The data cover multiple Chilean cities affected by residential heating emissions and span the period analyzed in the associated manuscript. PM2.5 concentrations were obtained from regulatory air quality monitoring stations, while meteorological variables include temperature, precipitation, and wind parameters. These datasets support the identification of spatiotemporal patterns and extreme pollution events associated with RSFB. The data are provided to ensure transparency and reproducibility of the proposed methodology and are intended for research and air quality management applications.