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

Published: 16 February 2026| Version 1 | DOI: 10.17632/fmh38c7trk.1
Contributors:
Ishtiaque Ahmed,
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Description

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).

Files

Institutions

Categories

Air Quality, Climate Data, Fine Particulate Matter

Funders

  • International Centre for Climate Change & Development (ICCCAD)

Licence