IoT-Integrated Predictive Maintenance Dataset
Time-series sensor readings from industrial machines for predictive maintenance and anomaly detection applications.
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Time-series sensor readings from industrial machines for predictive maintenance and anomaly detection applications.
View DatasetComprehensive synthetic dataset designed for analyzing DDoS attacks in Internet of Things environments.
View DatasetComprehensive IoT attack dataset for device identification and anomaly detection in security analytics applications.
View DatasetToN_IoT is a large-scale dataset featuring heterogeneous data from IoT sensors, operating systems, and network traffic for advanced intrusion detection research in Industry 4.0.
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.
View DatasetMIMIC-III is a globally recognized database featuring de-identified health data from 40,000+ ICU patients, integrating vital signs, lab results, and IoT device outputs for research.
View DatasetA large-scale dataset (245GB) collected from real-world industrial control systems for advanced threat detection.
View DatasetA comprehensive and realistic IoT dataset generated by the Canadian Institute for Cybersecurity (CIC) for profiling, detecting, and characterizing multi-vector IoT attacks in a real network topology.
View DatasetA comprehensive, high-quality dataset from a network of ground monitoring stations across Saudi Arabia, measuring solar radiation components, wind resources, and related meteorological parameters. Essential for renewable energy feasibility studies, smart grid planning, and machine learning models in energy forecasting.
View DatasetA high-resolution, three-year dataset from a real office building, integrating whole-building/end-use energy consumption, HVAC system data, environmental parameters, and ground-truth occupant counts. Essential for research in smart building energy prediction, optimization, and occupancy analytics.
View DatasetOpen-source GitHub repository featuring curated collection of 25+ datasets for deep learning applications in IoT including Gas Sensor Array Drift, ISOLET, Sleep-EDF, and comprehensive benchmark datasets under MIT license for unrestricted research use.
View DatasetIndustrial IoT dataset for efficient monitoring and control of power generation and distribution processes in smart grid applications with real-time fault detection capabilities.
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