Data_WP4_6 Multi sensor data for personal exposure monitoring in the ULLs

This dataset comprises data collected through personal sensors worn by participants in cities participating in the URBANOME sensor campaigns. It contains individual-level measurements of exposure to air pollutants, environmental noise, physical activity. Data were collected during both the pre-intervention and post-intervention phases (PhaseIIa and Phaseiib), each lasting one week, enabling comparative analysis over time. The data is stored as daily aggregated individual-level measurements, allowing for comparative analysis across cities and between pre- and post-intervention periods.Data are organized in two subfolders, namely “Environmental Data” and "Activity Tracker". In the Environmental Data subfolder, files are organised by Urban Living Lab and contain, for each participant, daily average values of particulate matter concentrations (PM₁, PM₂.₅, and PM₁₀), ambient temperature, humidity, and noise levels (L_mean, L_den, and L_night) as measured by the NoiseCapture mobile application. In addition, the dataset includes an estimate of the daily intake dose of particulate matter, calculated by combining pollutant concentration data with individual time-activity patterns and estimated inhalation rates based on physical activity levels.The Activity Tracker subfolder contains data from Xiaomi Band 7 devices, also organised by ULL. For each participant, the dataset includes average daily heart rate, number of steps taken, distance covered, and sleep quality metrics, assessed via analysis of different sleep stages (deep, light, and REM sleep).Each data file in both subfolders is accompanied by a data dictionary to support variable identification and interpretation.