Thulliez Emma, Portier Bruno, Bobbia Michel, Poggi Jean-Michel
INSA Rouen Normandie, Normandie Univ, LMI UR 3226, F-76000 Rouen, France.
ATMO Normandie, 3 place de la pomme d'or, 76000 Rouen, France.
Data Brief. 2023 Jul 11;49:109398. doi: 10.1016/j.dib.2023.109398. eCollection 2023 Aug.
This article presents a dataset comprising measurements made by co-located devices, with the aim of calibrating sensors for an upcoming in-situ use. The dataset includes hourly averaged data from 9 low-cost sensors and 2 traffic monitoring stations (thereafter named QDP and SUD3) in Rouen spanning from October 20, 2021 to March 25, 2022. In addition, the dataset is enriched by covariates measured by the sensors: temperature, relative humidity, atmospheric pressure, plus Ox and CO measures. The experiment was conducted as part of TIGA's call for project, and designed to have a better understanding of sensors' drawbacks, particularly when they are moved or shut down. Knowledge about the effect of air pollution on health has gained significant attention from both the scientific community and citizens, making air quality a growing issue for urban area. As a result, the city of Rouen in Normandy, France, has prioritized air quality monitoring as a key initiative. Concurrently, several means to measure air pollutants have been made more accessible, such as the use of low-cost sensors. Those sensors offer affordability, but are known to be less accurate than monitoring stations. Thus, they need to be cautiously studied so as to be used properly.
本文展示了一个数据集，该数据集包含由共置设备进行的测量数据，目的是为即将进行的现场使用校准传感器。该数据集包括2021年10月20日至2022年3月25日期间鲁昂9个低成本传感器和2个交通监测站（以下简称QDP和SUD3）的每小时平均数据。此外，该数据集还通过传感器测量的协变量得到了丰富：温度、相对湿度、大气压力，以及Ox和CO测量值。该实验是作为TIGA项目征集的一部分进行的，旨在更好地了解传感器的缺点，特别是当它们被移动或关闭时。空气污染对健康影响的知识已引起科学界和市民的极大关注，使空气质量成为城市地区日益突出的问题。因此，法国诺曼底的鲁昂市已将空气质量监测作为一项关键举措予以优先考虑。与此同时，测量空气污染物的几种方法变得更加容易获得，例如使用低成本传感器。这些传感器价格实惠，但众所周知其准确性不如监测站。因此，需要对它们进行谨慎研究以便正确使用。
