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 supports the article: “A novel approach to long-term source attribution of ambient PM2.5 from residential solid fuel burning using the FUSTA methodology”, DOI: 10.1039/D5VA00495K.

The dataset includes ambient PM2.5 concentration and meteorological data from Santiago and Temuco (Chile), and Krakow (Poland). It also contains the R script used to perform the clustering analysis required for the application of the FUSTA methodology. These data enable the identification of spatiotemporal patterns and the attribution of residential solid fuel burning contributions to ambient PM2.5.