AIR4LIFE Dual-Node Air Quality Monitoring Dataset

This dataset contains multi-sensor environmental measurements collected as part of the AIR4LIFE proof-of-concept deployment, an Internet of Things (IoT) architecture designed for robust, energy-aware, and redundant air quality monitoring. The data were recorded using two MoleNet-based senseBoxes equipped with sensors for temperature, humidity, CO₂, particulate matter (PM), light, and noise. Measurements were sampled at 5-minute intervals over five months (July–December 2025). The deployment features a dual-node setup in which one node operates continuously while the second is duty-cycled to reduce energy consumption, enabling analysis of redundancy, reliability, and the effects of reduced sampling. This dataset supports research in environmental monitoring, sensor network performance, and Personalized Air Pollution Exposure (PAPE), providing high-resolution time-series data suitable for evaluating long-term operation and energy-aware sensing strategies.