EDIAQI - EVIDENCE DRIVEN INDOOR AIR QUALITY IMPROVEMENT

Part of EU Open Research Repository

There is a newer version of the record available.

Published January 2025 | Version v2
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 data and CPC data. 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 Data.xlsx file, which is integrated into the data.zip archive.

Files

data.zip

Files (49.6 MB)

Name Size Download all
md5:e7c316b97a518770b0386aa507d9f570
49.6 MB Preview Download
md5:ed1aebc45d764a3eb55f7054ea2742a0
29.1 kB Download

Additional details

Funding

European Commission
EDIAQI - EVIDENCE DRIVEN INDOOR AIR QUALITY IMPROVEMENT 101057497