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AIR4LIFE: Dual-Node Environmental Monitoring Dataset

Environmental
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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

Source: {Zenodo (2025) · DOI: 10.5281/zenodo.17288923

Indexed by IoTDataset.com on Feb 06, 2026

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Related Topics & Keywords

#Air Quality #Environmental Monitoring #Energy-Aware IoT #Particulate Matter #CO2 Monitoring #Dual-Node Sensing #Urban Pollution

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