Urban IoT deployments: traffic and congestion, parking, public-space occupancy, street-level environmental sensing and municipal testbeds.
Sensor fusion data correlating urban traffic density with air pollutants (NO2, PM2.5, CO) in major city intersections.
Multi-sensor data combining PM2.5, PM10, CO, and NO2 with environmental factors like Temperature and Humidity for urban pollution mapping.
Global dataset analyzing plastic waste accumulation in oceans, including Plastic Type, Weight, and Depth of discovery.
Analysis of water properties to determine if it is safe for human consumption, applicable for Smart Water Management systems.
Historical data on air quality stations in Madrid, correlating traffic/location with pollutant levels like NO2 and PM2.5.
Real-time environmental monitoring data from smart home sensors. Includes temperature, humidity, and CO2 levels to detect occupancy and air quality.
Hourly averaged responses from an array of 5 metal oxide chemical sensors embedded in an Air Quality Device.
Traffic volume data classified by vehicle type (Car, Bike, Bus, Truck) for urban traffic flow prediction and congestion management.
Real-time water quality monitoring (pH, DO, Turbidity) using IoT sensors to predict fish health in aquaculture ponds.