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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...

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Autores principales: Perelló, Josep, Cigarini, Anna, Vicens, Julián, Bonhoure, Isabelle, Rojas-Rueda, David, Nieuwenhuijsen, Mark J., Cirach, Marta, Daher, Carolyn, Targa, Jaume, Ripoll, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
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.
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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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