6,400 mono audio clips in seven event classes for edge acoustic-event research, with a three-field manifest and documented reproducibility limitations.
15-minute ESP32 environmental and solar-voltage data: 84 training days and 31 validation days in Zapopan, plus a separate Ulm trial; forecasts are one step ahead.
IoT 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.
Longest 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.
Smart-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.