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Data set from large-scale citizen science provides high-resolution nitrogen dioxide values for enhancing community knowledge and collective action to related health issues
Dataset from a large-scale air quality citizen science campaign is presented (xAire, 725 measurements, see Ref. [1]). A broad partnership with 1650 citizens from communities around 18 primary schools across Barcelona (Spain) provided the capacity to obtain unprecedented high-resolution NO(2) levels...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361282/ https://www.ncbi.nlm.nih.gov/pubmed/34409138 http://dx.doi.org/10.1016/j.dib.2021.107269 |
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author | Perelló, Josep Cigarini, Anna Vicens, Julián Bonhoure, Isabelle Rojas-Rueda, David Nieuwenhuijsen, Mark J. Cirach, Marta Daher, Carolyn Targa, Jaume Ripoll, Anna |
author_facet | Perelló, Josep Cigarini, Anna Vicens, Julián Bonhoure, Isabelle Rojas-Rueda, David Nieuwenhuijsen, Mark J. Cirach, Marta Daher, Carolyn Targa, Jaume Ripoll, Anna |
author_sort | Perelló, Josep |
collection | PubMed |
description | Dataset from a large-scale air quality citizen science campaign is presented (xAire, 725 measurements, see Ref. [1]). A broad partnership with 1650 citizens from communities around 18 primary schools across Barcelona (Spain) provided the capacity to obtain unprecedented high-resolution NO(2) levels which had in turn the capacity to provide an updated asthma Health Impact Assessment. Nitrogen dioxide levels being obtained in a 4-week period during February and March 2018 with Palmes’ diffusion samplers are herein provided. Dataset includes NO(2) levels from outdoor locations n=671, playgrounds n=31, and inside school buildings (mostly classrooms) n=23. Data was calibrated and annualized with concentration levels from automatic reference stations. It is shown that NO(2) levels vary considerably with at some cases very high levels. Strong differences might also however be explained by the fact that ambient air pollution is reduced exponentially with distance from an emission source like traffic meaning that two samplers located about 100 m away can measure a tenfold difference concentration level. |
format | Online Article Text |
id | pubmed-8361282 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-83612822021-08-17 Data set from large-scale citizen science provides high-resolution nitrogen dioxide values for enhancing community knowledge and collective action to related health issues Perelló, Josep Cigarini, Anna Vicens, Julián Bonhoure, Isabelle Rojas-Rueda, David Nieuwenhuijsen, Mark J. Cirach, Marta Daher, Carolyn Targa, Jaume Ripoll, Anna Data Brief Data Article Dataset from a large-scale air quality citizen science campaign is presented (xAire, 725 measurements, see Ref. [1]). A broad partnership with 1650 citizens from communities around 18 primary schools across Barcelona (Spain) provided the capacity to obtain unprecedented high-resolution NO(2) levels which had in turn the capacity to provide an updated asthma Health Impact Assessment. Nitrogen dioxide levels being obtained in a 4-week period during February and March 2018 with Palmes’ diffusion samplers are herein provided. Dataset includes NO(2) levels from outdoor locations n=671, playgrounds n=31, and inside school buildings (mostly classrooms) n=23. Data was calibrated and annualized with concentration levels from automatic reference stations. It is shown that NO(2) levels vary considerably with at some cases very high levels. Strong differences might also however be explained by the fact that ambient air pollution is reduced exponentially with distance from an emission source like traffic meaning that two samplers located about 100 m away can measure a tenfold difference concentration level. Elsevier 2021-07-31 /pmc/articles/PMC8361282/ /pubmed/34409138 http://dx.doi.org/10.1016/j.dib.2021.107269 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Data Article Perelló, Josep Cigarini, Anna Vicens, Julián Bonhoure, Isabelle Rojas-Rueda, David Nieuwenhuijsen, Mark J. Cirach, Marta Daher, Carolyn Targa, Jaume Ripoll, Anna Data set from large-scale citizen science provides high-resolution nitrogen dioxide values for enhancing community knowledge and collective action to related health issues |
title | Data set from large-scale citizen science provides high-resolution nitrogen dioxide values for enhancing community knowledge and collective action to related health issues |
title_full | Data set from large-scale citizen science provides high-resolution nitrogen dioxide values for enhancing community knowledge and collective action to related health issues |
title_fullStr | Data set from large-scale citizen science provides high-resolution nitrogen dioxide values for enhancing community knowledge and collective action to related health issues |
title_full_unstemmed | Data set from large-scale citizen science provides high-resolution nitrogen dioxide values for enhancing community knowledge and collective action to related health issues |
title_short | Data set from large-scale citizen science provides high-resolution nitrogen dioxide values for enhancing community knowledge and collective action to related health issues |
title_sort | data set from large-scale citizen science provides high-resolution nitrogen dioxide values for enhancing community knowledge and collective action to related health issues |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361282/ https://www.ncbi.nlm.nih.gov/pubmed/34409138 http://dx.doi.org/10.1016/j.dib.2021.107269 |
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