Repository logo
 

Research data supporting "Characterising low-cost sensors in highly portable platforms to quantify personal exposure in diverse environments"


Change log

Authors

Chatzidiakou, Evangelia  ORCID logo  https://orcid.org/0000-0002-8753-1386
Popoola, Olalekan AM 
Di Antonio, A 
Kellaway, M 

Description

Measurements of air pollution collected with novel sensing technologies that now offer the potential to monitor detailed personal exposure during daily life at population scale, thanks to their significantly reduced cost, smaller size and fast-response: This data was collected with a state-of-the-art personal air quality monitor (PAM) and aims to characterise the performance of this specific configuration with currently available sensor variants for specific environmental conditions, as a necessary precursor to a series of papers on exposure and health impacts using these PAMs. More specifically, the PAM has already been deployed to participants of two large cardio-pulmonary cohorts in China AIRLESS- Theme 3 APHH project) and the UK (COPE) and in a number of smaller international pilot projects. This dataset was collected to assess the performance of the PAM sensors in well-characterised outdoor, indoor and commuting microenvironments across seasons and diverse environments. Measurements of gaseous pollutants were collected with commercially available electrochemical sensors and measurements of particulate matter have been collected with a miniaturised optical particle counter. See the README file for a detailed description of each data file.

Version

Software / Usage instructions

Data are provided in .csv format and can be opened with any text editor. Variables for each file are provided in the corresponding variables .txt file

Keywords

novel sensing technologies, carbon dioxide, nitric oxide, nitrogen dioxide, ozone, particulate matter, personal exposure

Publisher

Sponsorship
MRC (via King's College London) (unknown)
Natural Environment Research Council (NE/N007085/1)
Relationships
Supplements: