VTT SCOTT IAQ Dataset

The dataset is real-life and long-term indoor air quality (IAQ) data captured over a period of a year in 2019, including all four seasons in the Nordic climate, and comprises of about 22.6 million samples acquired from total of 62 sensor nodes in 13 rooms at VTT premises in Northern Finland. IAQ parameters in the dataset include<br> o Temperature (T, in Celcius),<br> o Relative humidity (H, in RH-%),<br> o Air pressure (P, in hPa),<br> o Carbon dioxide concentration (CO2, in ppm), and<br> o Activity level (based on PIR senor, an integer in range 0..12 limits inclusive). For further information on the dataset, please see the attached file README.txt. See also the article J. Kallio, J. Tervonen, P. Räsänen, R. Mäkynen, J. Koivusaari, J. Peltola, Forecasting office indoor CO2 concentration using machine learning with a one-year dataset, Build. Environ., 187 (2021), Article 107409, https://doi.org/10.1016/j.buildenv.2020.107409

本数据集为真实长期室内空气质量（Indoor Air Quality, IAQ）数据，采集周期为2019年一整年，覆盖北欧气候区的完整四季。数据集共包含约2260万条样本，采集自芬兰北部VTT办公园区13个房间内的共计62个传感器节点。
本数据集包含的室内空气质量参数如下：
- 温度（Temperature, T），单位为摄氏度；
- 相对湿度（Relative humidity, H），单位为RH-%；
- 大气压强（Air pressure, P），单位为百帕（hPa）；
- 二氧化碳浓度（Carbon dioxide concentration, CO₂），单位为ppm；
- 活动水平（Activity level）：基于被动红外（Passive Infrared, PIR）传感器采集的整数数值，取值范围为0至12（包含两端边界）。
如需了解该数据集的更多细节，请参阅随附的README.txt文件。此外可参考以下学术论文：J. Kallio、J. Tervonen、P. Räsänen、R. Mäkynen、J. Koivusaari、J. Peltola所著的《Forecasting office indoor CO2 concentration using machine learning with a one-year dataset》，发表于《Building and Environment》2021年第187卷，文章编号107409，DOI链接：https://doi.org/10.1016/j.buildenv.2020.107409