"Next-Generation Multi-Pollutant Air Quality Monitoring System: Rural, Urban, Indoor Cooking, and City-Centre Measurements"

"This dataset contains four scenario-specific excel files collected using a prototype next-generation multi-pollutant air quality monitoring system (nGAQM) developed for deterministic, high-resolution, low-cost, sovereign air-quality sensing. Measurements were acquired at a nominal 3 s interval in four representative scenarios: rural outdoor background (rural.xlsx), urban roadside\/street-canyon (urban.xlsx), indoor high-transient cooking (indoor_cooking.xlsx), and a mobile city-centre walk (city_centre.xlsx). The datasets include temperature, relative humidity, NO\u2082, O\u2083, CO, NO, equivalent total VOC (eTVOC), particulate mass concentrations (PM1.0, PM2.5, PM4.0, PM10), particulate number concentrations (PM0.5, PM1.0, PM2.5, PM4.0, PM10), dominant particle size, VOC index, NO\u2093 index, and CO\u2082. The city-centre dataset additionally includes GNSS metadata.The uploaded Excel files preserve the measured values used to support the manuscript analyses. No post-acquisition imputation, interpolation, or statistical gap filling was applied. Blank cells indicate values that were unavailable at a given timestamp or, in the case of some GNSS fields in city_centre.xlsx, values that were intentionally not repeated because the firmware only logged\/transmitted them when they changed beyond configured thresholds. A complete GNSS dropout is also present during the indoor Victoria Shopping Centre segment due to loss of satellite reception. The dataset is intended to support reproducibility of the manuscript\u2019s multi-context field evaluation and enable secondary analysis of pollutant transients, traffic-related microenvironments, indoor source events, and mobile exposure mapping."