Performance of low-cost monitors to assess household air pollution

Sampling was conducted in a non-smoking private single-family house in the municipality of Terrassa (Spain) during February-March 2016. There are 16 files of .txt format and 7 files of .csv format. The lightest file is 3KB and the heaviest 371KB. Counting all 23 files , there are 2,01MB. Files from...

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Autores: Ariadna Curto, Cathryn Tonne, David Donaire, Gregory A. Wellenius, José Barrera, Julian D. Marshall, Mark J. Nieuwenhuijsen
Tipo de recurso: conjunto de datos
Fecha de publicación:2022
País:España
Institución:Consorci de Serveis Universitaris de Catalunya (CSUC)
Repositorio:CORA.Repositori de Dades de Recerca
OAI Identifier:oai:dnet:cora.rdr____::9a1dd2b9249f64652ad3244f7c1ea13c
Acceso en línea:https://doi.org/10.34810/DATA509
Access Level:acceso abierto
Palabra clave:Medicine, Health and Life Sciences
Indoor air pollution
Household air pollution
Low-cost sensors
Low-cost technology
Long-term sampling
HAPEX Nano
TZOA-R
DustTrak
EL-USB-CO
Q-Trak
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oai_identifier_str oai:dnet:cora.rdr____::9a1dd2b9249f64652ad3244f7c1ea13c
network_acronym_str ES
network_name_str España
repository_id_str
spelling Performance of low-cost monitors to assess household air pollutionAriadna CurtoCathryn TonneDavid DonaireGregory A. WelleniusJosé BarreraJulian D. MarshallMark J. NieuwenhuijsenMedicine, Health and Life SciencesIndoor air pollutionHousehold air pollutionLow-cost sensorsLow-cost technologyLong-term samplingHAPEX NanoTZOA-RDustTrakEL-USB-COQ-TrakSampling was conducted in a non-smoking private single-family house in the municipality of Terrassa (Spain) during February-March 2016. There are 16 files of .txt format and 7 files of .csv format. The lightest file is 3KB and the heaviest 371KB. Counting all 23 files , there are 2,01MB. Files from the HAPEX device are those which start with 'HAPEX'. The following numbers correspond respectively to sensor ID_Day_Month_Year_Hour_Minute_Second of the sampling start. Files from the TZOA-R device are those which start with 'TZOA'. The following 4 digits correspond to the sensor ID. Files from the DustTrak device are those which end with 'dusttrak'. From 22 Feb to 25 Feb the number of the files' name corresponds to DayMonthYear (DDMMYY) and HourMinute (HHMM) of the sampling start. In contrast, from 29 Feb, the number of the files' name corresponds to DayMonthYear (DDMMYYYY) of the sampling start. Files from the EL-USB-CO devices are those which end with 'co'. From 22 Feb to 25 Feb the number of the files' name corresponds to DayMonthYear (DDMMYYYY) of the sampling start plus DayMonthYear (DDMMYYYY) of the sampling end. The numbers before 'co' correspond to the sensor ID (e.g. '1co'). In contrast, from 29 Feb, the number of the files' name corresponds to DayMonthYear (DDMMYYYY) of the sampling start only. File from the Q-Trak device is the one that ends with 'qtrak'. The number of the files' name corresponds to DayMonthYear (DDMMYYYY) of the sampling start. File from BGI concentrations is the one that start with 'BGI'. This is a database where the variable corresponding to the PM2.5 concentration is called 'PMconcentration' (reported in �g/m3).CORA.Repositori de Dades de RecercaUBIOESGD2022info:eu-repo/semantics/datasethttps://doi.org/10.34810/DATA509reponame:CORA.Repositori de Dades de Recercainstname:Consorci de Serveis Universitaris de Catalunya (CSUC)Inglésinfo:eu-repo/semantics/openAccessCC BY-NC-SA 4.0oai:dnet:cora.rdr____::9a1dd2b9249f64652ad3244f7c1ea13c2026-06-17T12:20:17Z
dc.title.none.fl_str_mv Performance of low-cost monitors to assess household air pollution
title Performance of low-cost monitors to assess household air pollution
spellingShingle Performance of low-cost monitors to assess household air pollution
Ariadna Curto
Medicine, Health and Life Sciences
Indoor air pollution
Household air pollution
Low-cost sensors
Low-cost technology
Long-term sampling
HAPEX Nano
TZOA-R
DustTrak
EL-USB-CO
Q-Trak
title_short Performance of low-cost monitors to assess household air pollution
title_full Performance of low-cost monitors to assess household air pollution
title_fullStr Performance of low-cost monitors to assess household air pollution
title_full_unstemmed Performance of low-cost monitors to assess household air pollution
title_sort Performance of low-cost monitors to assess household air pollution
dc.creator.none.fl_str_mv Ariadna Curto
Cathryn Tonne
David Donaire
Gregory A. Wellenius
José Barrera
Julian D. Marshall
Mark J. Nieuwenhuijsen
author Ariadna Curto
author_facet Ariadna Curto
Cathryn Tonne
David Donaire
Gregory A. Wellenius
José Barrera
Julian D. Marshall
Mark J. Nieuwenhuijsen
author_role author
author2 Cathryn Tonne
David Donaire
Gregory A. Wellenius
José Barrera
Julian D. Marshall
Mark J. Nieuwenhuijsen
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv UBIOESGD
dc.subject.none.fl_str_mv Medicine, Health and Life Sciences
Indoor air pollution
Household air pollution
Low-cost sensors
Low-cost technology
Long-term sampling
HAPEX Nano
TZOA-R
DustTrak
EL-USB-CO
Q-Trak
topic Medicine, Health and Life Sciences
Indoor air pollution
Household air pollution
Low-cost sensors
Low-cost technology
Long-term sampling
HAPEX Nano
TZOA-R
DustTrak
EL-USB-CO
Q-Trak
description Sampling was conducted in a non-smoking private single-family house in the municipality of Terrassa (Spain) during February-March 2016. There are 16 files of .txt format and 7 files of .csv format. The lightest file is 3KB and the heaviest 371KB. Counting all 23 files , there are 2,01MB. Files from the HAPEX device are those which start with 'HAPEX'. The following numbers correspond respectively to sensor ID_Day_Month_Year_Hour_Minute_Second of the sampling start. Files from the TZOA-R device are those which start with 'TZOA'. The following 4 digits correspond to the sensor ID. Files from the DustTrak device are those which end with 'dusttrak'. From 22 Feb to 25 Feb the number of the files' name corresponds to DayMonthYear (DDMMYY) and HourMinute (HHMM) of the sampling start. In contrast, from 29 Feb, the number of the files' name corresponds to DayMonthYear (DDMMYYYY) of the sampling start. Files from the EL-USB-CO devices are those which end with 'co'. From 22 Feb to 25 Feb the number of the files' name corresponds to DayMonthYear (DDMMYYYY) of the sampling start plus DayMonthYear (DDMMYYYY) of the sampling end. The numbers before 'co' correspond to the sensor ID (e.g. '1co'). In contrast, from 29 Feb, the number of the files' name corresponds to DayMonthYear (DDMMYYYY) of the sampling start only. File from the Q-Trak device is the one that ends with 'qtrak'. The number of the files' name corresponds to DayMonthYear (DDMMYYYY) of the sampling start. File from BGI concentrations is the one that start with 'BGI'. This is a database where the variable corresponding to the PM2.5 concentration is called 'PMconcentration' (reported in �g/m3).
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/dataset
format dataset
dc.identifier.none.fl_str_mv https://doi.org/10.34810/DATA509
url https://doi.org/10.34810/DATA509
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
CC BY-NC-SA 4.0
eu_rights_str_mv openAccess
rights_invalid_str_mv CC BY-NC-SA 4.0
dc.publisher.none.fl_str_mv CORA.Repositori de Dades de Recerca
publisher.none.fl_str_mv CORA.Repositori de Dades de Recerca
dc.source.none.fl_str_mv reponame:CORA.Repositori de Dades de Recerca
instname:Consorci de Serveis Universitaris de Catalunya (CSUC)
instname_str Consorci de Serveis Universitaris de Catalunya (CSUC)
reponame_str CORA.Repositori de Dades de Recerca
collection CORA.Repositori de Dades de Recerca
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.812429