On April 5 and 6, air quality data was collected in the Maniago area. The area was selected with the aim of assessing the potential impact of wood/pallet stoves on air quality. For the data collection was used the "Cocal" system. The “Cocal” IoT system is a real-time and low-cost air quality Vehicle Sensor Network that covers the whole path from data acquisition to data access and web-mapping. Cocal consists of a set of crowdsensing low-cost IoT devices installed on voluntary mobile platforms, such as private cars and buses from the local transportation authority Trieste Trasporti. Each platform acquires geolocated environmental measurements (PM10, PM2.5, temperature, pressure, relative humidity...) which are transmitted via GSM and LoRaWAN to an IT infrastructure able to reconstruct in real time a web based interactive geographic map of the distribution of pollutants. The entire system uses open source software and hardware and all the data that has been collected is completely open and accessible within a FAIR perspective.

On April 5 and 6, air quality data was collected in the Maniago area. The area was selected with the aim of assessing the potential impact of wood/pallet stoves on air quality. For the data collection was used the "Cocal" system. The “Cocal” IoT system is a real-time and low-cost air quality Vehicle Sensor Network that covers the whole path from data acquisition to data access and web-mapping. Cocal consists of a set of crowdsensing low-cost IoT devices installed on voluntary mobile platforms, such as private cars and buses from the local transportation authority Trieste Trasporti. Each platform acquires geolocated environmental measurements (PM10, PM2.5, temperature, pressure, relative humidity...) which are transmitted via GSM and LoRaWAN to an IT infrastructure able to reconstruct in real time a web based interactive geographic map of the distribution of pollutants. The entire system uses open source software and hardware and all the data that has been collected is completely open and accessible within a FAIR perspective.

The “Cocal” IoT system is a real-time and low-cost air quality Vehicle Sensor Network that covers the whole path from data acquisition to data access and web-mapping. Cocal consists of a set of crowdsensing low-cost IoT devices installed on voluntary mobile platforms, such as private cars and buses from the local transportation authority Trieste Trasporti. Each platform acquires geolocated environmental measurements (PM10, PM2.5, temperature, pressure, relative humidity...) which are transmitted via GSM and LoRaWAN to an IT infrastructure able to reconstruct in real time a web based interactive geographic map of the distribution of pollutants. The entire system uses open source software and hardware and all the data that has been collected is completely open and accessible within a FAIR perspective.