Air pollution in complex terrain: lessons from a mid-size city in the southern coast of Brazil [dataset].

These datasets are unique collected observational information data obtained in the under-observed areas associated with the publication of the same title. To assess the importance of including local environmental constraints characterization on air quality management, we combined surface meteorological data with air pollution levels from a comprehensive physical and chemical (elemental and ionic) characterization of daily sampling of PM2.5 measured in industrial sites in Joinville, a coastal city in southern Brazil. The raw meteorological data and PM2.5 physical and chemical laboratory analysis results are presented. The content of the data is presented in the README_Column_description.txt file. Details about data gathering, understanding and main findings can be found in the associated publication. The scripts used to work with these datasets in this study are available at the Github page (link below).