Naslov
SensEURCity: A multi-city air quality dataset collected for 2020/2021 using open low-cost sensor systems

Autori
Van Poppel, Martine ; Schneider, Philipp ; Peters, Jan ; Yatkin, Sinan ; Gerboles, Michel ; Matheeussen, Christina ; Bartonova, Alena ; Davila, Silvije ; Signorini, Marco ; Vogt, Matthias ; Dauge, Franck René ; Solnes Skaar, Jøran ; Haugen, Rolf

Izvornik
Scientific data (2052-4463) 10 (2023), 322; 1-16

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
AirSensEUR, sensors, air quality, calibration

Sažetak
Low-cost air quality sensor systems can be deployed at high density, making them a significant candidate of complementary tools for improved air quality assessment. However, they still suffer from poor or unknown data quality. In this paper, we report on a unique dataset including the raw sensor data of quality-controlled sensor networks along with co-located reference data sets. Sensor data are collected using the AirSensEUR sensor system, including sensors to monitor NO, NO2 , O3 , CO, PM2.5, PM10, PM1 , CO 2 and meteorological parameters. In total, 85 sensor systems were deployed throughout a year in three European cities (Antwerp, Oslo and Zagreb), resulting in a dataset comprising different meteorological and ambient conditions. The main data collection included two co-location campaigns in different seasons at an Air Quality Monitoring Station (AQMS) in each city and a deployment at various locations in each city (also including locations at other AQMSs). The dataset consists of data files with sensor and reference data, and metadata files with description of locations, deployment dates and description of sensors and reference instruments.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Javno zdravstvo i zdravstvena zaštita, Biotehnologija u biomedicini (prirodno područje, biomedicina i zdravstvo, biotehničko područje)

POVEZANOST RADA