Eastern China Key Regions Monthly Nitrate Dataset

It integrates multi-source data, including ground-based air quality monitoring stations, satellite remote sensing aerosol products, ERA5 atmospheric reanalysis data, and regional socioeconomic indicators. A self-supervised ensemble learning approach was employed to fill spatial gaps in station observations and generate continuous gridded atmospheric nitrate concentration fields.

This dataset aims to capture fine-scale spatiotemporal dynamics of regional atmospheric nitrate pollution, supporting applications in atmospheric environment monitoring, pollution source apportionment, health risk assessment, and air quality management policy formulation.