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. 2023 May 26;10(1):322.
doi: 10.1038/s41597-023-02135-w.

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

Martine Van Poppel  1 , Philipp Schneider  2 , Jan Peters  3 , Sinan Yatkin  4 , Michel Gerboles  5 , Christina Matheeussen  6 , Alena Bartonova  2 , Silvije Davila  7 , Marco Signorini  8 , Matthias Vogt  2 , Franck René Dauge  2 , Jøran Solnes Skaar  2 , Rolf Haugen  2
Affiliations

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

Martine Van Poppel et al. Sci Data. .

Abstract

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, CO2 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.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
AirSensEUR sensor systems: (top left) chemical shield with gas sensors; (top right) sensor box with sampling inlet of OPC-N3 on top; (bottom left) sensor box in outdoor enclosure with gas sensors and PMS5003 sensor inlet and (bottom right) sensor box installed at Air Quality Monitoring Stations.
Fig. 2
Fig. 2
Overview of the sampling with sampling site locations and timeline. Map data ©2022 Google Imagery ©2022 Nasa, Terrametrics.
Fig. 3
Fig. 3
Sensor deployment sites in Antwerp. Imagery ©2022 Google, Imagery ©2022 TerraMetrics, Map data ©2022 Google.
Fig. 4
Fig. 4
Timeline of sensor deployment in Antwerp, with sensor ID on left axis and location ID displayed in the colored bars that represent the different phases over time.
Fig. 5
Fig. 5
Sensor deployment sites in Oslo. Imagery ©2022 Google, Imagery ©2022 TerraMetrics, Map data ©2022 Google.
Fig. 6
Fig. 6
Timeline of sensor deployment in Oslo, with sensor ID on left axis and location ID displayed in the colored bars that represent the different phases over time.
Fig. 7
Fig. 7
Sensor deployment sites in Zagreb. Imagery ©2022 Maxar Technologies, CNES/Airbus, Maxar Technologies, Google, Airbus, Imagery ©2022 TerraMetrics, Map data ©2022 Google.
Fig. 8
Fig. 8
Timeline of sensor deployment in Zagreb, with sensor ID on left axis and location ID displayed in the colored bars that represent the different phases over time.
See this image and copyright information in PMC

References

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