Air pollution data: A dataset gathered through a crowd sensing platform

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-05-18 DOI:10.1016/j.dib.2025.111683

Slave Temkov , Pance Cavkovski , Petre Lameski , Eftim Zdravevski , Michael A. Herzog , Vladimir Trajkovik

引用次数: 0

Abstract

This paper introduces an extensive dataset on air pollution monitoring, collected through a crowd sensing IoT platform. The dataset contains real-time measurements of various pollutants, including PM_2.5, PM₁₀, NO₂, O₃, and CO, enriched with meteorological parameters such as temperature, humidity, and atmospheric pressure. Additionally, it includes noise level measurements, offering insights into urban noise pollution. The data, collected across multiple urban locations in Skopje, North Macedonia, spans from early 2018 to December 2024, providing both high spatial and temporal resolution. This dataset is a valuable resource for studying pollution trends, forecasting pollution levels, identifying pollution sources, and assessing the impact of urban planning on air quality. All in all, it supports research aimed at improving air quality and public health through data-driven decision-making and policy development.

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空气污染数据：通过人群感知平台收集的数据集

本文介绍了通过人群传感物联网平台收集的关于空气污染监测的广泛数据集。该数据集包含各种污染物的实时测量，包括PM2.5、PM10、NO2、O3和CO，并丰富了温度、湿度和大气压力等气象参数。此外，它还包括噪音水平测量，提供对城市噪音污染的见解。这些数据收集于马其顿北部斯科普里的多个城市地点，时间跨度为2018年初至2024年12月，提供了高空间和时间分辨率。该数据集是研究污染趋势、预测污染水平、识别污染源和评估城市规划对空气质量影响的宝贵资源。总而言之，它支持旨在通过数据驱动的决策和政策制定改善空气质量和公众健康的研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.