This dataset provides Analysis Ready Data from two major citizen-operated PM2.5 sensor networks in Europe: Sensor.community and PurpleAir. The measurements have been harmonized, quality-checked, flagged, and corrected using the FILTER framework to improve consistency, interoperability, and reliability across different low-cost sensor systems. It offers a reusable European-scale resource for air quality research, exposure assessment, mapping, and the development of further decision-support products based on citizen-generated observations.
This dataset provides estimated daily surface PM2.5 concentrations over Central Europe at approximately 1 km spatial resolution for the years 2021–2022. It was generated with the S-MESH model, which combines CAMS forecasts, low-cost sensor data, satellite aerosol optical depth, and meteorological variables through a stacked XGBoost machine learning approach. The dataset includes several model versions to compare the role of low-cost sensors in training and prediction, offering a high-resolution resource for air quality analysis, exposure studies, and local decision support.
This Decision Support System brings together citizen-generated air quality observations from across Europe into a single interactive platform for real-time environmental monitoring and evidence-based decision-making. It aggregates and visualizes data from multiple Citizen Observatories, combining low-cost sensor measurements with quality-checked, decision-ready information and air quality maps. By turning citizen-generated data into accessible and actionable insights, it supports local authorities, researchers, and communities in assessing exposure, designing local actions, and informing air quality policy at local, national, and EU level.
