Simulated sensor data from IoT-based wearable healthcare devices monitoring vital signs including temperature, blood pressure, heart rate, and device battery levels for real-time remote patient monitoring and health analytics applications.
Comprehensive smart home dataset generated using OpenSHS simulator with 29 IoT sensors monitoring daily activities across multiple rooms, including labeled data for eating, sleeping, working, and anomaly detection in residential environments.
Real-time environmental dataset from IoT-enabled smart homes focusing on energy consumption optimization and occupant comfort, with 15-minute interval readings of temperature, humidity, lighting, air quality, CO2 levels, and HVAC control data.
Comprehensive dataset from Stratosphere Laboratory containing network traffic from 23 IoT malware captures including Mirai and Torii botnets, with over 325 million labeled connections for cybersecurity research and ML-based threat detection.
Comprehensive energy consumption dataset from a smart home with detailed weather information, containing readings from 17 different appliances and devices with 13 weather parameters for advanced consumption forecasting.
Real-world dataset from International University of Rabat for threat detection in MQTT-IoT networks, containing actual cyberattacks executed on MySignals health sensors.
Comprehensive dataset from University of New Brunswick containing over 202,085 network traffic records from IoT devices in academic environment, with classification of benign and malicious activities.
Six months of IoT sensor data from tilapia aquaculture ponds in Colombia. Monitors dissolved oxygen, pH, temperature, turbidity with fish health metrics (weight, survival rate, disease occurrence).
Real-time supply chain data from IoT sensors across logistics stages. Includes GPS tracking, RFID inventory, environmental sensors, supplier performance metrics, and delivery patterns for predictive analysis.
Dataset for analyzing dynamic optimization techniques impact on energy efficiency in IoT sensor networks. Contains 500 simulation scenarios with routing protocols comparison and performance metrics.
Simulated sensor data from wearable IoT devices for remote patient health monitoring. Includes vital signs (temperature, blood pressure, heart rate) with timestamps and device battery levels.