Greater Cairo air pollution and meteorological dataset derived from CAMS (2023–2024)

Abstract

This dataset supports the study on air pollution pattern analysis in Greater Cairo using K-means clustering, Decision Trees, and Random Forest models. The dataset contains 3-hourly air pollution and meteorological variables for the Greater Cairo region covering the period from January 2023 to December 2024. The variables include PM2.5, PM10, NO2, SO2, O3, CO, near-surface air temperature, dew point temperature, wind speed, and surface pressure. The data were derived from the Copernicus Atmosphere Monitoring Service (CAMS). The repository includes the original data used in the analysis and a README file describing the variables and data structure. This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. Please cite this record and the associated article, if applicable, when reusing the data. The dataset was prepared by the authors for the present study and derived from Copernicus Atmosphere Monitoring Service (CAMS) products. Associated article: Clustering and machine-learning techniques identify air pollution regimes in Greater Cairo. Scientific Reports. https://doi.org/10.1038/s41598-026-49777-5