Dataset on Hyper-Local Particulate Matter and Environmental Parameters Collected via IoT Mobile Sensors in Dhaka

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Authors: Ishtiaque Ahmed, Sabbir Bin Sazid, Imran Mehedi Nabil, Bappy Bhakta, Sagor Kumar Pal, Masud Rana Rashel, Aminul Haque, Mahfuza Parveen
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Abstract

This dataset contains high-resolution environmental data collected using a custom-developed IoT monitoring device. It focuses on multi-fraction Particulate Matter (PM) concentrations, providing a granular view of air quality that includes PM1, PM2.5, PM4, and PM10. Unlike standard monitoring stations that often only track PM2.5 and PM10, this dataset captures a wider spectrum of particle sizes, allowing for more detailed respiratory health and environmental analysis. The data is geo-tagged (Latitude/Longitude) and time-stamped, enabling spatiotemporal analysis of pollution hotspots alongside meteorological variables (Temperature and Humidity).

Fields of Study & Subjects

Air Quality Monitoring and Forecasting Air Quality and Health Impacts Atmospheric chemistry and aerosols

Publication details

Journal / source
Mendeley Data
Publication date
16 February 2026
Language
EN
Document type
Dataset