Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Department of Building Science, Tsinghua University, Beijing, 100084, China.
College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, 518060, China.
Sci Data. 2023 Oct 18;10(1):715. doi: 10.1038/s41597-023-02640-y.
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, 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.
家用空气净化器已被广泛应用于改善室内空气质量。空气净化器可以自动记录室内空气质量参数，为深入的数据驱动分析提供有价值的数据资源。本研究介绍了在中国四个不同气候区的 18 个省份的 100 户住宅中，通过家用空气净化器收集的为期一年的每小时室内空气质量数据集。数据采集时间为 2021 年 7 月 1 日至 2022 年 7 月 1 日。记录了每小时的甲醛、PM、TVOC、温度、相对湿度、空气净化器的开/关状态和空气流量。如果存在缺失值，使用基于链式方程的方法进行插补，仔细筛选数据。该数据集提供了住宅建筑室内空气质量的全面详细情况，可用于评估空气净化器的清洁效果、室外气候变化对室内空气质量的影响以及未来室内人类行为的趋势。
