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UrbanAirNet: Urban Air Quality and Weather Dataset

Environmental
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Abstract

"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."

Description

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 Kaggle

Cite This Dataset 

Ziya, O. (2025). UrbanAirNet: Urban Air Quality and Weather Dataset. [Dataset]. Kaggle. https://www.kaggle.com/datasets/ziya07/urbanairnet-urban-air-quality-and-weather-dataset

Source: Kaggle (2025)

Indexed by IoTDataset.com on Feb 05, 2026

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Related Topics & Keywords

#environmental IoT #air quality #PM2.5 #weather data #smart city #urban sensors #pollution forecasting

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