AIR4LIFE: Dual-Node Environmental Monitoring Dataset
Abstract
"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."
Description
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.
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Cite This Dataset
Gijón, Á., Bolaños, C., & Villanueva, F. (2025). AIR4LIFE: Dual-Node Environmental Monitoring Dataset. [Dataset]. {Zenodo. https://doi.org/10.5281/zenodo.17288923
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Original source: {Zenodo (2025). Visit official page for more details.
Indexed by IoTDataset.com on Feb 06, 2026
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