Showing 12 of 38 datasets
Free CC0 synthetic dataset: 400 rows of indoor temperature, humidity, CO2, light and occupancy readings. 22°C. Reproducible from its seed.
View DatasetIoT environmental sensor dataset tracking water quality and pollution risk indicators for Gaoyou Lake, China. Includes pH, dissolved oxygen, turbidity, temperature, and conductivity readings. CSV format via Kaggle. Used for aquatic pollution risk classification and IoT water monitoring research.
View DatasetFree CC0 synthetic dataset: 1,000 rows of indoor temperature, humidity, CO2, light and occupancy readings. Cold Climate, 20.5°C.
View DatasetLongest freely available on-field IoT air quality sensor deployment: 9,358 hourly records from 5 metal oxide gas sensors in an Italian city. CSV/XLSX format. Used for gas sensor regression, drift correction, and pollution forecasting research.
View DatasetSmart-home energy dataset with detailed electrical, environmental, and operational streams from 3 real homes plus minute-level electricity data from 400+ homes. Open portal export format. Used for sustainable home and demand analysis.
View DatasetFree CC0 synthetic dataset: 10,000 rows of indoor temperature, humidity, CO2, light and occupancy readings. Tropical Climate, 22°C.
View DatasetFree CC0 synthetic dataset: 10,000 rows of indoor temperature, humidity, CO2, light and occupancy readings. Cold Climate, 22°C.
View DatasetFree CC0 synthetic dataset: 2,000 rows of indoor temperature, humidity, CO2, light and occupancy readings. Arid Climate, 21°C. Reproducible from its seed.
View DatasetFree CC0 synthetic dataset: 100 rows of indoor temperature, humidity, CO2, light and occupancy readings. 26.5°C. Reproducible from its seed.
View DatasetFree CC0 synthetic dataset: 1,000 rows of indoor temperature, humidity, CO2, light and occupancy readings. Reproducible from its seed.
View DatasetIntegrated multi-modal data from smart urban sensor network including vehicle traffic, power consumption, and environmental monitoring.
View DatasetAirIoT 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.
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