UrbanAirNet: Urban Air Quality and Weather Dataset
Catalog Summary
"UrbanAirNet provides a comprehensive collection of urban air quality and weather parameters measured via IoT sensor networks. It includes pollutants like PM2.5, NO2, and O3 alongside meteorological variables."
Catalog Notes
Overview
UrbanAirNet captures environmental pollutants and weather data across urban locations to support air quality forecasting and environmental impact studies.
Technical Details
Features hourly readings of PM2.5, PM10, CO, NO2, SO2, and O3, paired with temperature, humidity, and wind speed data.
Collection Setup
Collected from a distributed network of IoT sensors deployed in various urban micro-environments.
Recommended Research Tasks
Air quality prediction, pollution source identification, and correlation analysis between weather and pollution.
Access & License
Accessible via Kaggle for environmental and smart city research. Access Dataset
View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on Kaggle.
Preview on KaggleProvided Citation
author = {Ziya, O.},
title = {{UrbanAirNet: Urban Air Quality and Weather Dataset}},
howpublished = {Kaggle},
year = {2025}
This citation is displayed as supplied. Automatic style conversion is disabled because structured citation metadata is not recorded.
Source metadata: Kaggle (2025)
Indexed by IoTDataset.com on Feb 05, 2026
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