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