Monterrey-LCS-PM2.5: A Dataset for Hybrid Calibration and Spatial Transferability Analysis

This dataset contains high-frequency atmospheric monitoring data collected over 18 months (January 2023 – July 2024) in the Monterrey Metropolitan Area (MMA), Mexico. The data was generated to evaluate the resilience, aging, and spatial transferability of low-cost sensor (LCS) networks under extreme semi-arid conditions. The dataset includes collocated measurements from three Plantower PMSA003 sensors and federal-grade reference instruments (Beta-ray Attenuation Monitor - BAM) across four strategic urban sites. This data supports the research presented in the manuscript: "A Scalable and Resilient Hybrid XGB-L Framework for Long-term Urban $PM_{2.5}$ Monitoring: Enhancing Data Integrity across Complex Physicochemical Gradients.