Flemish Institute for Technological Research (VITO), Boeretang 200, 2400, Mol, Belgium.
The Climate and Environmental Research Institute NILU, PO Box 100, 2027, Kjeller, Norway.
Sci Data. 2023 May 26;10(1):322. doi: 10.1038/s41597-023-02135-w.
Low-cost air quality sensor systems can be deployed at high density, making them a significant candidate of complementary tools for improved air quality assessment. However, they still suffer from poor or unknown data quality. In this paper, we report on a unique dataset including the raw sensor data of quality-controlled sensor networks along with co-located reference data sets. Sensor data are collected using the AirSensEUR sensor system, including sensors to monitor NO, NO, O, CO, PM, PM, PM, CO and meteorological parameters. In total, 85 sensor systems were deployed throughout a year in three European cities (Antwerp, Oslo and Zagreb), resulting in a dataset comprising different meteorological and ambient conditions. The main data collection included two co-location campaigns in different seasons at an Air Quality Monitoring Station (AQMS) in each city and a deployment at various locations in each city (also including locations at other AQMSs). The dataset consists of data files with sensor and reference data, and metadata files with description of locations, deployment dates and description of sensors and reference instruments.
低成本空气质量传感器系统可以高密度部署，因此成为空气质量评估改进的重要补充工具候选。然而，它们仍然存在数据质量差或未知的问题。在本文中，我们报告了一个独特的数据集，其中包括经过质量控制的传感器网络的原始传感器数据以及同地点的参考数据集。传感器数据是使用 AirSensEUR 传感器系统收集的，包括监测 NO、NO、O、CO、PM、PM、PM、CO 和气象参数的传感器。总共有 85 个传感器系统在欧洲的三个城市（安特卫普、奥斯陆和萨格勒布）全年进行了部署，从而产生了一个包含不同气象和环境条件的数据集。主要的数据收集包括在每个城市的空气质量监测站（AQMS）进行的两个同地点的季节性测量活动，以及在每个城市的不同地点（也包括其他 AQMS 地点）的部署。该数据集由带有传感器和参考数据的文件以及带有位置、部署日期以及传感器和参考仪器描述的元数据文件组成。
