Air Quality & Weather (IoT Sensor Fusion)
Catalog Summary
"Multi-sensor data combining PM2.5, PM10, CO, and NO2 with environmental factors like Temperature and Humidity for urban pollution mapping."
Catalog Notes
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 Catalog Record
IoTDataset.com (2026). Air Quality & Weather (IoT Sensor Fusion) — catalog record. [Dataset]. IoTDataset.com. https://iotdataset.com/data/air-quality-weather-fusion
The publisher's preferred dataset citation is not recorded. The text above cites this IoTDataset.com catalog record, not the underlying dataset.
Catalog publisher: IoTDataset.com (2026)
Indexed by IoTDataset.com on Jan 10, 2026
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