Abstract
"Multi-sensor data combining PM2.5, PM10, CO, and NO2 with environmental factors like Temperature and Humidity for urban pollution mapping."
Description
Research Context
This dataset is perfect for training AI models to predict smog levels based on weather patterns. It uses historical data from multiple urban sensor nodes.
Parameters:
- PM2.5 / PM10: Particulate matter levels.
- NO2 / CO / SO2: Gaseous pollutant concentrations.
- AQI: Calculated Air Quality Index.
Data Preview
| Date | City | PM2.5 | NO2 | CO | SO2 | AQI |
|---|---|---|---|---|---|---|
| 2020-05-01 | Delhi | 65.42 | 32.15 | 0.95 | 12.4 | 115 |
| 2020-05-02 | Delhi | 78.10 | 45.20 | 1.20 | 15.1 | 142 |
| 2020-05-03 | Delhi | 42.50 | 20.80 | 0.65 | 8.2 | 85 |
Showing first few rows for preview
Cite This Dataset
External (2026). Air Quality & Weather (IoT Sensor Fusion). [Dataset]. External. https://www.kaggle.com/datasets/rohanrao/air-quality-data-in-india
Source: External (2026)
Indexed by IoTDataset.com on Jan 10, 2026
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