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Dataset

Sensor based ambient air concentration data for nitrogen dioxide and particles in Oxford, measured by the OxAria project 2020 to 2021.

Alternative title:
Measured ambient levels of NO2, PM10 & PM2.5 at 10-second, 15-minute & 1-hour resolutions in Oxford, 2020 to 2021.
Documentation:
OxAria is a Natural Environmental Research Council funded collaboration between the University of Birmingham and University of Oxford, supported by public and commercial partners. The project has applied advanced technological and environmental health expertise to understand the air and noise impacts of COVID-19 across Oxford City. See also https://oxaria.org.uk/ The application of high-resolution sensing technology in this context offers potential to measure air pollution at an unprecedented scale and scope, providing a more comprehensive picture of air pollution across Oxford than has previously been possible. Data obtained before, during and after relevant COVID-19 restrictions have been used to understand impacts upon road traffic, air and noise pollution levels and to assess implications for healthy life expectancy and therefore human health. This information will be used to provide an evidence-base for air quality policy within local authorities, public agencies and national Government.

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Authors/Creators

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Data manager, Researcher, Creator
More by this author/creator
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Creator
More by this author/creator
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Principal Investigator (PI), Creator
ORCID:
0000-0001-6656-2389
More by this author/creator
Institution:
School of Geography, Earth and Environmental Sciences, University of Birmingham
Role:
Creator
More by this author/creator
Institution:
University of Birmingham
Role:
Creator


Publisher:
University of Oxford
Publication date:
2022
Spatial coverage:
Oxford, UK.
Version number:
version 1
DOI:
Temporal coverage:
2021 - 2022

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