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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 |
Author: | Perelló, Josep Cigarini, Anna Vicens, Julián Bonhoure, Isabelle Rojas Rueda, David Nieuwenhuijsen, Mark J. Cirach, Marta Daher, Carolyn Targa, Jaume Ripoll, Anna |
Others: | Universitat Oberta de Catalunya (UOC) Internet Interdisciplinary Institute (IN3) |
Citation: | Perelló, J.; Cigarini, A.; Vicens, J.; Bonhoure, I.; Rojas Rueda, D.; Nieuwenhuijsen, M.J.; Cirach, M.; Daher, C.; Targa, J.; Ripoll, A. (2021). Data set from large-scale citizen science provides high-resolution nitrogen dioxide values for enhancing community knowledge and collective action to related health issues. Data in Brief, 37. https://doi.org/10.1016/j.dib.2021.107269 |
Abstract: | Dataset from a large-scale air quality citizen science campaign is presented (xAire, 725 measurements). A broad partnership with 1650 citizens from communities around 18 primary schools across Barcelona (Spain) provided the capacity to obtain unprecedented high-resolution NO2 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 NO2 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 NO2 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. |
Keywords: | citizen science air quality nitrogen dioxide levels schools city, Barcelona map palmes |
DOI: | https://doi.org/10.1016/j.dib.2021.107269 |
Document type: | info:eu-repo/semantics/article |
Issue Date: | 2-Aug-2021 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Articles Articles cientÍfics |
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Data set from large-scale citizen science.pdf | 828,51 kB | Adobe PDF | View/Open |
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