H2020 project CAPTOR dataset: Raw data collected by low-cost MOX ozone sensors in a real air pollution monitoring network

The H2020 CAPTOR project deployed three testbeds in Spain, Italy and Austria with low-cost sensors for the measurement of tropospheric ozone (O3). The aim of the H2020 CAPTOR project was to raise public awareness in a project focused on citizen science. Each testbed was supported by an NGO in charge...

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Autores: Barceló Ordinas, José María|||0000-0002-9738-2425, Ferrer Cid, Pau|||0000-0003-2112-8516, García Vidal, Jorge|||0000-0001-5969-1182, Viana Rodríguez, Mar, Ripoll, Anna
Formato: artículo
Fecha de publicación:2021
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/360189
Acesso em linha:https://hdl.handle.net/2117/360189
https://dx.doi.org/10.1016/j.dib.2021.107127
Access Level:acceso abierto
Palavra-chave:Atmospheric ozone
Low-cost sensors
Metal-oxide sensors
Tropospheric ozone
Calibration of sensors
Machine learning algorithms
Pollution maps
Ozó atmosfèric
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Medi ambient
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spelling H2020 project CAPTOR dataset: Raw data collected by low-cost MOX ozone sensors in a real air pollution monitoring networkBarceló Ordinas, José María|||0000-0002-9738-2425Ferrer Cid, Pau|||0000-0003-2112-8516García Vidal, Jorge|||0000-0001-5969-1182Viana Rodríguez, MarRipoll, AnnaAtmospheric ozoneLow-cost sensorsMetal-oxide sensorsTropospheric ozoneCalibration of sensorsMachine learning algorithmsPollution mapsOzó atmosfèricÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadorsÀrees temàtiques de la UPC::Desenvolupament humà i sostenible::Medi ambientThe H2020 CAPTOR project deployed three testbeds in Spain, Italy and Austria with low-cost sensors for the measurement of tropospheric ozone (O3). The aim of the H2020 CAPTOR project was to raise public awareness in a project focused on citizen science. Each testbed was supported by an NGO in charge of deciding how to raise citizen awareness according to the needs of each country. The data presented in this document correspond to the raw data captured by the sensor nodes in the Spanish testbed using SGX Sensortech MICS 2614 metal-oxide sensors. The Spanish testbed consisted of the deployment of twenty-five nodes. Each sensor node included four SGX Sensortech MICS 2614 ozone sensors, one temperature sensor and one relative humidity sensor. Each node underwent a calibration process by co-locating the node at an EU reference air quality monitoring station, followed by a deployment in a sub-urban or rural area in Catalonia, Spain. All nodes spent two to three weeks co-located at a reference station in Barcelona, Spain (urban area), followed by two to three weeks co-located at three sub-urban reference stations near the final deployment site. The nodes were then deployed in volunteers' homes for about two months and, finally, the nodes were co-located again at the sub-urban reference stations for two weeks for final calibration and assessment of potential drifts. All data presented in this paper are raw data taken by the sensors that can be used for scientific purposes such as calibration studies using machine learning algorithms, or once the concentration values of the nodes are obtained, they can be used to create tropospheric ozone pollution maps with heterogeneous data sources (reference stations and low-cost sensors).This work was funded by H2020 project CAPTOR, and supported by National Spanish project PID2019–107910RB-I00, and regional project 2017SGR-990, and with the support of Secretaria d’Universitats i Recerca de la Generalitat de Catalunya i del Fons Social Europeu. The authors gratefully acknowledge the collaboration of the staff at the Department of the Environment of the Generalitat de Catalunya who kindly provided support for the deployment of the sensing nodes at reference stations for calibrating the sensors and provided access to the reference data.Peer ReviewedElsevier20212021-06-0120222022-01-20journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/360189https://dx.doi.org/10.1016/j.dib.2021.107127reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengEuropean Commission http://doi.org/10.13039/100010661 Horizon 2020 Framework Programme 688110 Collective Awareness Platform for Tropospheric Ozone PollutionAgencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2019-107910RB-I00 MONITORIZACION IOT DE LA CALIDAD DEL AIREopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttps://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3601892026-05-27T15:37:01Z
dc.title.none.fl_str_mv H2020 project CAPTOR dataset: Raw data collected by low-cost MOX ozone sensors in a real air pollution monitoring network
title H2020 project CAPTOR dataset: Raw data collected by low-cost MOX ozone sensors in a real air pollution monitoring network
spellingShingle H2020 project CAPTOR dataset: Raw data collected by low-cost MOX ozone sensors in a real air pollution monitoring network
Barceló Ordinas, José María|||0000-0002-9738-2425
Atmospheric ozone
Low-cost sensors
Metal-oxide sensors
Tropospheric ozone
Calibration of sensors
Machine learning algorithms
Pollution maps
Ozó atmosfèric
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Medi ambient
title_short H2020 project CAPTOR dataset: Raw data collected by low-cost MOX ozone sensors in a real air pollution monitoring network
title_full H2020 project CAPTOR dataset: Raw data collected by low-cost MOX ozone sensors in a real air pollution monitoring network
title_fullStr H2020 project CAPTOR dataset: Raw data collected by low-cost MOX ozone sensors in a real air pollution monitoring network
title_full_unstemmed H2020 project CAPTOR dataset: Raw data collected by low-cost MOX ozone sensors in a real air pollution monitoring network
title_sort H2020 project CAPTOR dataset: Raw data collected by low-cost MOX ozone sensors in a real air pollution monitoring network
dc.creator.none.fl_str_mv Barceló Ordinas, José María|||0000-0002-9738-2425
Ferrer Cid, Pau|||0000-0003-2112-8516
García Vidal, Jorge|||0000-0001-5969-1182
Viana Rodríguez, Mar
Ripoll, Anna
author Barceló Ordinas, José María|||0000-0002-9738-2425
author_facet Barceló Ordinas, José María|||0000-0002-9738-2425
Ferrer Cid, Pau|||0000-0003-2112-8516
García Vidal, Jorge|||0000-0001-5969-1182
Viana Rodríguez, Mar
Ripoll, Anna
author_role author
author2 Ferrer Cid, Pau|||0000-0003-2112-8516
García Vidal, Jorge|||0000-0001-5969-1182
Viana Rodríguez, Mar
Ripoll, Anna
author2_role author
author
author
author
dc.subject.none.fl_str_mv Atmospheric ozone
Low-cost sensors
Metal-oxide sensors
Tropospheric ozone
Calibration of sensors
Machine learning algorithms
Pollution maps
Ozó atmosfèric
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Medi ambient
topic Atmospheric ozone
Low-cost sensors
Metal-oxide sensors
Tropospheric ozone
Calibration of sensors
Machine learning algorithms
Pollution maps
Ozó atmosfèric
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Medi ambient
description The H2020 CAPTOR project deployed three testbeds in Spain, Italy and Austria with low-cost sensors for the measurement of tropospheric ozone (O3). The aim of the H2020 CAPTOR project was to raise public awareness in a project focused on citizen science. Each testbed was supported by an NGO in charge of deciding how to raise citizen awareness according to the needs of each country. The data presented in this document correspond to the raw data captured by the sensor nodes in the Spanish testbed using SGX Sensortech MICS 2614 metal-oxide sensors. The Spanish testbed consisted of the deployment of twenty-five nodes. Each sensor node included four SGX Sensortech MICS 2614 ozone sensors, one temperature sensor and one relative humidity sensor. Each node underwent a calibration process by co-locating the node at an EU reference air quality monitoring station, followed by a deployment in a sub-urban or rural area in Catalonia, Spain. All nodes spent two to three weeks co-located at a reference station in Barcelona, Spain (urban area), followed by two to three weeks co-located at three sub-urban reference stations near the final deployment site. The nodes were then deployed in volunteers' homes for about two months and, finally, the nodes were co-located again at the sub-urban reference stations for two weeks for final calibration and assessment of potential drifts. All data presented in this paper are raw data taken by the sensors that can be used for scientific purposes such as calibration studies using machine learning algorithms, or once the concentration values of the nodes are obtained, they can be used to create tropospheric ozone pollution maps with heterogeneous data sources (reference stations and low-cost sensors).
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-06-01
2022
2022-01-20
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/360189
https://dx.doi.org/10.1016/j.dib.2021.107127
url https://hdl.handle.net/2117/360189
https://dx.doi.org/10.1016/j.dib.2021.107127
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv European Commission http://doi.org/10.13039/100010661 Horizon 2020 Framework Programme 688110 Collective Awareness Platform for Tropospheric Ozone Pollution
Agencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2019-107910RB-I00 MONITORIZACION IOT DE LA CALIDAD DEL AIRE
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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