Large-scale real-time air quality monitoring dataset from Dhaka, Bangladesh with 155,406 records. Captures CO, NO2, SO2, O3, PM2.5, and PM10 using IoT sensors with Arduino integration. Ideal for environmental analytics, pollution prediction, and smart city air quality management.
Multimodal smart city dataset combining environmental sensors (temperature, humidity, gas, vibration, noise, motion) and surveillance images with binary anomaly labels. Designed for edge computing, urban anomaly detection, and real-time city monitoring research.
Real-world IoT sensor dataset for precision agriculture and plant health monitoring. Includes environmental parameters (temperature, humidity, light) and soil metrics (pH, moisture, temperature) with Arduino-ESP8266 integration and cloud transmission.
IoT-based environmental perception data studying impact on university students' mental health. Integrates temperature, humidity, noise, and air quality sensors.
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.
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).
Specialized IoT dataset measuring environmental factors impact on student mental health. Combines air quality, noise levels, temperature, humidity with wellness surveys from university campus.
Government-operated sensor network providing temperature and humidity readings for weather monitoring, site supervision, wetland tracking, and ecological research. High-frequency, long-term environmental data collection.