Air for Tomorrow: Mapping the Digital Air-Quality Landscape, from Repositories and Data Types to Starter Code

Air quality data is often unavailable in regions where millions of children breathe toxic air, preventing proper risk assessment and protection. This guide provides a practical overview of open-source repositories that offer air quality data from ground measurements, satellites, and model reanalyses. It includes minimal Python code examples for accessing data from platforms such as OpenAQ, EPA AQS Data Mart, AirNow, and the Copernicus Atmosphere Monitoring Service. The content also aims to explain various data formats to help users integrate this information into their own analytical models and pipelines.