QUANT: A Three-Year, Multi-City Air Quality Dataset of Commercial Air Sensors and Reference Data for Performance Evaluation

The QUANT dataset embodies a thorough initiative to assess the performance of commercial air quality sensors relative to reference measurements over three years (December 2019 to October 2022), across three UK urban sites: London, Manchester, and York. This collection showcases a wide spectrum of meteorological and ambient conditions, offering a rich dataset for detailed analysis. As a pivotal component of the UK Research and Innovation Clean Air programme, QUANT's structured methodology scrutinized 49 sensor systems from 14 manufacturers. The project unfolded in two phases: the Main QUANT phase, dedicated to the prolonged evaluation of selected sensor devices, and the Wider Participation Study, which extended an invitation to commercial entities for an equitable evaluation. This dataset integrates hourly records from (i) reference monitors at each site, (ii) QUANT sensor data, and (iii) specially deployed duplicate reference instruments, essential for delving into sensor performance subtleties and calibration accuracy.  It encompasses measurements of gases (NO, NO2, O3), particulate matter (PM1, PM2.5, PM10), and critical meteorological parameters (humidity, temperature, atmospheric pressure). Comprising data files with both sensor and reference information, alongside metadata files that delineate locations, deployment dates, and details of sensors and reference instruments, this dataset provides a holistic resource for air quality monitoring and evaluative studies.

QUANT数据集（QUANT dataset）是一项系统性研究项目，旨在对比评估商用空气质量传感器（commercial air quality sensors）与参考监测设备（reference monitors）的性能表现，研究周期为三年（2019年12月至2022年10月），覆盖英国三座城市站点：伦敦、曼彻斯特与约克。该数据集涵盖了丰富多样的气象与环境条件，可为精细化分析提供充足的数据支撑。作为英国研究与创新署（UK Research and Innovation）清洁空气计划的核心组成部分，QUANT项目采用标准化研究方法，对来自14家制造商的49套传感器系统开展了严格测评。本项目分为两个阶段：主QUANT阶段，专注于对选定传感器设备的长期性能评估；以及‘广泛参与研究’（Wider Participation Study）环节，该环节面向商业机构开放，以开展公平公正的性能测评。本数据集整合了三类小时级记录数据：(i) 各站点的参考监测仪数据，(ii) QUANT传感器原始数据，以及(iii) 专门部署的平行参考仪器数据——后者是深入探究传感器性能细节与校准精度的关键支撑数据。数据集涵盖的监测指标包括：气态污染物（NO、NO2、O3）、颗粒物（PM1、PM2.5、PM10），以及关键气象参数（湿度、气温、大气压强）。本数据集包含存储传感器与参考监测信息的数据文件，以及用于说明站点位置、部署日期、传感器与参考仪器详细信息的元数据文件（metadata files），可为空气质量监测与性能评估类研究提供完整的一体化数据资源。