Industrial IoT: Milling Machine Predictive Maintenance
Vibration and wear data from industrial milling machines. Used to predict tool failure before it happens (Prognostic Data).
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Vibration and wear data from industrial milling machines. Used to predict tool failure before it happens (Prognostic Data).
View DatasetClinical dataset used to predict heart disease presence based on physiological markers like Chest Pain, BP, and Cholesterol.
View DatasetPrecision agriculture data containing N, P, K, temperature, humidity, pH, and rainfall to recommend the best crop for the soil.
View DatasetHistorical data on air quality stations in Madrid, correlating traffic/location with pollutant levels like NO2 and PM2.5.
View DatasetTelemetry data from Electric Vehicle (EV) battery charging sessions, including State of Charge (SOC), voltage, current, and temperature.
View DatasetReal-time environmental monitoring data from smart home sensors. Includes temperature, humidity, and CO2 levels to detect occupancy and air quality.
View DatasetPrecision agriculture dataset containing soil N, P, K values, temperature, humidity, and pH to recommend the best crop.
View DatasetRecordings of 30 subjects performing daily activities while carrying a waist-mounted smartphone with inertial sensors.
View DatasetHourly averaged responses from an array of 5 metal oxide chemical sensors embedded in an Air Quality Device.
View DatasetSynthetic dataset reflecting real predictive maintenance data encountered in industry with 10,000 data points.
View DatasetMultimodal dataset for autonomous driving that combines camera frames with ultrasonic and radar sensor data to detect objects in blind spots.
View DatasetComprehensive agricultural data tracking soil moisture, pH, nitrogen levels, and light intensity to determine overall plant health status.
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