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

Indoor air quality (IAQ) significantly influences human health, as individuals spend up to 90% of their time indoors, where air pollutants can accumulate and interact dynamically. Despite advancements in monitoring technology, challenges remain in capturing the temporal and spatial variability of pollutants and understanding the interaction between indoor and outdoor environments. This study addresses these gaps by introducing a comprehensive dataset from a controlled experimental room in Croatia, leveraging a multi-instrumental approach to monitor IAQ across various real-life scenarios. The dataset integrates measurements from low-cost sensors, reference-grade devices, and auxiliary systems to track pollutants such as particulate matter (PM), black carbon (BC), volatile organic compounds (VOC), and indoor events deemed relevant for the assessment of pollutant levels. Key experiments simulated household activities, including cooking, cleaning, human presence, and ventilation, capturing their impacts on IAQ with high temporal resolution. The resulting dataset comprises over 19 subsets. This work contributes to the Horizon EDIAQI project, supporting the development of evidence-driven strategies to improve IAQ.

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Publication Details

Journal
Scientific Data
Published
2025-09-29
DOI
https://doi.org/10.1038/s41597-025-05847-3
Citations
1
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.80

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

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article

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

Darijo Brzoja, Honey Dawn C. Alas, Nikolina Račić, Vesna Gugec, Francesco Mureddu, Gordana Pehnec, Simonas Kecorius, Alessandro Battaglia, Frederik Weis, Sebastian Düsing, Sanja Frka, Ivan Bešlić, José Fermoso, Mario Lovrić, Jon Switters, Ivana Jakovljević, Gianna Karanasiou, Ana Cvitešić Kušan, Valentino Petrić, Jürgo-Sören Preden, María Figols, Teo Terzić, Tajana Horvat, Michael Forsmann, Mila Dobrić Ladavac, Ivan Bilić, Marko Batrac, Xabier Aláez, Hana Matanović, Anđelko Žigman, Anneli Toomis, Ivano Battaglia, Dejan Strbad
article en
1 citations

Abstract

Indoor air quality (IAQ) significantly influences human health, as individuals spend up to 90% of their time indoors, where air pollutants can accumulate and interact dynamically. Despite advancements in monitoring technology, challenges remain in capturing the temporal and spatial variability of pollutants and understanding the interaction between indoor and outdoor environments. This study addresses these gaps by introducing a comprehensive dataset from a controlled experimental room in Croatia, leveraging a multi-instrumental approach to monitor IAQ across various real-life scenarios. The dataset integrates measurements from low-cost sensors, reference-grade devices, and auxiliary systems to track pollutants such as particulate matter (PM), black carbon (BC), volatile organic compounds (VOC), and indoor events deemed relevant for the assessment of pollutant levels. Key experiments simulated household activities, including cooking, cleaning, human presence, and ventilation, capturing their impacts on IAQ with high temporal resolution. The resulting dataset comprises over 19 subsets. This work contributes to the Horizon EDIAQI project, supporting the development of evidence-driven strategies to improve IAQ.

Scientific DataVol. 12(1)
Croatian Meteorological and Hydrological Service (HR), Energie Baden-Württemberg (Germany) (DE), University of Lisbon (PT), University of Augsburg (DE), University of Zagreb (HR), European Research Council (BE), Helmholtz Zentrum München (DE), Institute for Anthropological Research (HR), Polytechnic of Međimurje in Čakovec (HR), WINGS ICT Solutions (Greece) (GR), Estonian Environmental Research Center (Estonia) (EE), Leibniz Institute for Tropospheric Research (DE), Navarrabiomed (ES), Ruđer Bošković Institute (HR), Copenhagen Prospective Studies on Asthma in Childhood (DK), Foundation for Transport and Energy Research and Development (ES), Institute for Medical Research and Occupational Health (HR), DELL (United States) (US), Oikon (Croatia) (HR)
HORIZON EUROPE Framework Programme
Openalex Percentile: Top 24%
Air Quality Monitoring and Forecasting
0.80
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