Seeing the air in detail: hyperlocal air quality dataset collected from spatially distributed AirQo network

Published: 18 July 2022| Version 2 | DOI: 10.17632/r3hgnrb73w.2
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Description

A dataset of air quality observations collected from 68 spatially distributed monitoring stations across Uganda. The dataset includes calibrated hourly PM2.5 and PM10 data collected from low cost air quality monitoring devices and one reference grade monitoring device over a period ranging from 2019 to 2020. It contains the timestamp in UTC , PM2.5 concentrations , PM10 concentrations , site_id which uniquely identifies a monitoring site and the site coordinates(latitude, longitude) in two files i.e., low_cost_hourly_airquality_data.csv and reference_grade_monitor_hourly_airquality_data.csv. The mean PM2.5 and PM10 concentrations from the low-cost monitors dataset are 37.39µg/m3 and 49.61 µg/m3 respectively. The reference grade monitor that was used to collect this data is a Met One Beta Attenuation Monitor Model 1022 configured to measure and record hourly PM2.5 concentration. On the other hand, the low-cost monitors use laser scattering technique and utilise dual Plantower Sensors (PMS 5003).

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Institutions

Makerere University

Categories

Air Quality, Internet of Things, Ambient Air Quality Monitoring

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