A Real-time Dataset of Air Pollution Monitoring Generated Using IoT

IoT devices are used in the data-gathering procedure to get real-time information on air pollution in Dhaka, Bangladesh. The hardware design is made to ensure that suitable sensors are fitted to detect the levels of carbon monoxide, nitrogen dioxide, sulfur dioxide, ozone, particulate matter 2.5, and particulate matter 10. To facilitate connectivity with the IoT devices, the Arduino IDE code was uploaded. The appropriate Excel file is opened after starting the Excel data streamer. The Arduino IDE chooses the proper COM port to connect the IoT devices to the PC. The gathered data are stored in a designated file location to facilitate analysis and interpretation. This approach enables future research and decision-making procedures about air pollution in Dhaka. It also ensures continuous monitoring and complete assessment of air quality metrics. The record of the dataset is 1 lac 55 thousand 4 hundred 6.本数据集借助物联网（Internet of Things, IoT）设备开展数据采集工作，以获取孟加拉国达卡市的空气污染实时监测数据。硬件设计旨在配备适配传感器，用于检测一氧化碳、二氧化氮、二氧化硫、臭氧、细颗粒物（PM2.5）及可吸入颗粒物（PM10）的浓度水平。为保障物联网设备的连通性，已上传对应Arduino IDE代码。启动Excel数据流工具后，打开指定Excel文件；Arduino IDE将选择正确的COM端口，实现物联网设备与个人计算机（PC）的连接。采集所得的监测数据将存储至预设文件路径，便于后续开展分析与解读。该方案可为达卡市空气污染相关的后续研究与决策流程提供支撑，同时可实现空气质量各项指标的持续监测与全面评估。 本数据集的记录总数为155406条（原文以1 lac 55 thousand 4 hundred 6表述，对应十五万五千四百零六条）。