One-year dataset of hourly air quality parameters from 100 air purifiers used in China residential buildings

Bibliographic Details
Title: One-year dataset of hourly air quality parameters from 100 air purifiers used in China residential buildings
Authors: Jiaze Wei, Yan Wang, Jinhan Mo, Cheng Fan
Source: Scientific Data, Vol 10, Iss 1, Pp 1-8 (2023)
Publisher Information: Nature Portfolio, 2023.
Publication Year: 2023
Collection: LCC:Science
Subject Terms: Science
More Details: Abstract 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, PM2.5, 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.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2052-4463
Relation: https://doaj.org/toc/2052-4463
DOI: 10.1038/s41597-023-02640-y
Access URL: https://doaj.org/article/9b770aea709f44649aa7e8a839db2974
Accession Number: edsdoj.9b770aea709f44649aa7e8a839db2974
Database: Directory of Open Access Journals
More Details
ISSN:20524463
DOI:10.1038/s41597-023-02640-y
Published in:Scientific Data
Language:English