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One-year dataset of hourly air quality parameters from 100 air purifiers used in China residential buildings
Household air purifiers have been widely used as an effective approach to improving indoor air quality. Air purifiers can automatically record indoor air quality parameters, providing valuable data resources for in-depth data-driven analysis. This work presents a one-year hourly indoor air quality d...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10584929/ https://www.ncbi.nlm.nih.gov/pubmed/37853016 http://dx.doi.org/10.1038/s41597-023-02640-y |
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author | Wei, Jiaze Wang, Yan Mo, Jinhan Fan, Cheng |
author_facet | Wei, Jiaze Wang, Yan Mo, Jinhan Fan, Cheng |
author_sort | Wei, Jiaze |
collection | PubMed |
description | Household air purifiers have been widely used as an effective approach to improving indoor air quality. Air purifiers can automatically record indoor air quality parameters, providing valuable data resources for in-depth data-driven analysis. This work presents a one-year hourly indoor air quality dataset collected by household air purifiers in 100 residential homes in 18 provinces across 4 different climate zones in China. The data were collected from July 1, 2021, to July 1, 2022. The concentrations of formaldehyde, PM(2.5), TVOC, temperature, relative humidity, on/off status and the airflow rate of air purifiers during operations were recorded hourly. The data were carefully screened with possibly missing values imputed using chained equation-based methods if any. The dataset provides a comprehensive and detailed picture of the indoor air quality in residential buildings, enabling evaluations on the cleaning effect of air purifiers, the impact of outdoor climate change on indoor air quality, and the future trends in indoor human behavior. |
format | Online Article Text |
id | pubmed-10584929 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105849292023-10-20 One-year dataset of hourly air quality parameters from 100 air purifiers used in China residential buildings Wei, Jiaze Wang, Yan Mo, Jinhan Fan, Cheng Sci Data Data Descriptor Household air purifiers have been widely used as an effective approach to improving indoor air quality. Air purifiers can automatically record indoor air quality parameters, providing valuable data resources for in-depth data-driven analysis. This work presents a one-year hourly indoor air quality dataset collected by household air purifiers in 100 residential homes in 18 provinces across 4 different climate zones in China. The data were collected from July 1, 2021, to July 1, 2022. The concentrations of formaldehyde, PM(2.5), TVOC, temperature, relative humidity, on/off status and the airflow rate of air purifiers during operations were recorded hourly. The data were carefully screened with possibly missing values imputed using chained equation-based methods if any. The dataset provides a comprehensive and detailed picture of the indoor air quality in residential buildings, enabling evaluations on the cleaning effect of air purifiers, the impact of outdoor climate change on indoor air quality, and the future trends in indoor human behavior. Nature Publishing Group UK 2023-10-18 /pmc/articles/PMC10584929/ /pubmed/37853016 http://dx.doi.org/10.1038/s41597-023-02640-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Wei, Jiaze Wang, Yan Mo, Jinhan Fan, Cheng One-year dataset of hourly air quality parameters from 100 air purifiers used in China residential buildings |
title | One-year dataset of hourly air quality parameters from 100 air purifiers used in China residential buildings |
title_full | One-year dataset of hourly air quality parameters from 100 air purifiers used in China residential buildings |
title_fullStr | One-year dataset of hourly air quality parameters from 100 air purifiers used in China residential buildings |
title_full_unstemmed | One-year dataset of hourly air quality parameters from 100 air purifiers used in China residential buildings |
title_short | One-year dataset of hourly air quality parameters from 100 air purifiers used in China residential buildings |
title_sort | one-year dataset of hourly air quality parameters from 100 air purifiers used in china residential buildings |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10584929/ https://www.ncbi.nlm.nih.gov/pubmed/37853016 http://dx.doi.org/10.1038/s41597-023-02640-y |
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