AirIoT: IoT-Based Air Pollution Monitoring Dataset
Catalog Summary
"AirIoT is an open-access dataset for IoT-based air pollution monitoring, featuring real-time sensor readings for PM2.5, PM10, temperature, and humidity from urban deployments."
Catalog Notes
Urban Environmental Monitoring
AirIoT focuses on monitoring air quality in dense urban areas using low-cost IoT sensor networks. The data is vital for environmental health studies and smart city planning.
Measured Parameters
- Particulate Matter: Real-time concentration levels of PM2.5 and PM10 in ppm.
- Ambient Conditions: Continuous logging of Temperature (°C) and Relative Humidity (%).
- Temporal Resolution: High-frequency sensing instances with unique entry IDs and timestamps.
Strategic Value
Provides a foundation for building pollution prediction models and evaluating the effectiveness of urban emission control policies through IoT data.
View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on External.
Preview on ExternalCite This Dataset
Ayush Dwivedi, Rajashekar Reddy, Ayu Parmar, & Sachin Chaudhari (2024). AirIoT: IoT-Based Air Pollution Monitoring. [Dataset]. IEEE Dataport. https://doi.org/10.21227/b9g8-wc47
Source metadata: IEEE Dataport (2024) · DOI: 10.21227/b9g8-wc47
Indexed by IoTDataset.com on Feb 15, 2026
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