EDIAQI - EVIDENCE DRIVEN INDOOR AIR QUALITY IMPROVEMENT

Part of EU Open Research Repository
Published September 2025 | Version v5
Dataset Open

Indoor and ambient air pollution dataset using a multi-instrument approach and total event monitoring

Creators

  • 1. Centre for bioanthropology, Institute for Anthropological Research, Gajeva 32, HR-10000 Zagreb
  • 2. Lisbon Council, Brussels, Belgium
  • 3. Ascalia d.o.o., Trate 16, HR-40000, Čakovec
  • 4. Ascalia d.o.o, Trate 16, HR-40000, Čakovec
  • 5. Ascalia d.o.o., 40000 Čakovec, Croatia
  • 6. Ruđer Bošković Institute, 10 000 Zagreb, Croatia
  • 7. CARTIF Technology Center, 47151 Boecillo (Valldolid), Spain
  • 8. Leibniz Institute for Tropospheric Research, 04318, Leipzig, Germany
  • 9. Kobis d.o.o, 10 000 Zagreb, Croatia
  • 10. Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
  • 11. Environmental Science Center, University of Augsburg, Augsburg, Germany
  • 12. Institute for Medical Research and Occupational Health, 10000 Zagreb, Croatia
  • 13. Croatian Meteorological and Hydrological Service, 10000, Zagreb, Croatia
  • 14. inBiot Monitoring SL, 31192 Mutilva, Navarra, Spain
  • 15. SMART SENSE d.o.o., 10000 Zagreb, Croatia
  • 16. COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, 2820 Gentofte, Denmark
  • 17. Thinnect, Tallinn 11624, Estonia
  • 18. Labservice Analytica srl, 40011 Anzola Dell'Emilia, Italy
  • 19. WINGS ICT Solutions, 17121 Athens, Greece
  • 20. Palas GmbH, 76187 Karlsruhe, Germany

Description

This dataset comprises 19 subsets. Each subset measures a different parameter or is produced by a different sensor provider. The measurement period for this dataset was from October 11, 2024, to October 31, 2024, and the measurement interval depends on the type of parameter being measured, ranging from 1 second to 15 minutes.

The dataset includes six indoor low-cost sensor providers with their respective measuring sensors. Three of these providers had only one sensor at the location, while one had 16 sensors, and the other two had 4 and 2 sensors, respectively. Human presence was monitored using a camera and a motion detection sensor. Window and door opening and closing were monitored using Xiaomi Door/Window sensors.

In addition to the indoor low-cost sensors, the location was equipped with reference sensing units that were calibrated to the measuring station. Furthermore, outdoor low-cost sensors were also used. Specifically, one was a low-cost sensor, and the other was a mid-range sensor in terms of pricing.

This dataset also includes black carbon and CPC data. The CPC data was collected using an instrument that was used both inside and outside during the study. A camera was set up on the balcony to monitor the road in front of the house, so traffic data is also included in the dataset.

Additionally, on-site measuring data from the Croatian Meteorological and Hydrological Service was made available in this dataset, sourced from the two nearest locations to the measuring site, as well as satellite data from the Climate Data Store.

Every single parameter is detailed in the Measurement_metadata_description file, which is integrated into the data.zip archive.

Every experiment conducted alongside these measurements is documented with a timestamp in the experiments.json file, which is also located in the data.zip archive.

Every pollutant accurately measured with low-cost sensors is now included along with resolution details. All information can be found in the file Low_cost_sensor_accuracy.xlsx."

Files

data.zip

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Additional details

Funding

European Commission
EDIAQI - EVIDENCE DRIVEN INDOOR AIR QUALITY IMPROVEMENT 101057497