AIR4LIFE: Dual-Node Environmental Monitoring Dataset
Catalog Summary
"AIR4LIFE is a high-resolution air quality monitoring dataset published in late 2025, featuring measurements from a dual-node IoT setup. It tracks pollutants and ambient conditions to evaluate the trade-offs between energy-aware duty cycling and data completeness in environmental sensing networks."
Catalog Notes
Overview
High-resolution environmental time series collected via the AIR4LIFE proof-of-concept deployment for energy-aware air quality monitoring.
Technical Details
Measurements include CO2 (NDIR), particulate matter (PM2.5/PM10), temperature, humidity, light, and noise sampled at 5-minute intervals.
Collection Setup
Two MoleNet-based senseBoxes were deployed over five months (ending December 2025), with one node continuous and the other duty-cycled for energy testing.
Recommended Research Tasks
Energy-aware sensing strategy optimization, data imputation for duty-cycled IoT nodes, and urban air pollution exposure modeling.
Access & License
Available on Zenodo. Access Dataset
View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on Kaggle.
Preview on KaggleCite This Dataset
Gijón, Á., Bolaños, C., & Villanueva, F. (2025). From Voice To Shell: Datasets. [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.17288923
Source metadata: Zenodo (2025) · DOI: 10.5281/zenodo.17288923
Indexed by IoTDataset.com on Feb 06, 2026
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