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Performance of low-cost monitors to assess household air pollution [dataset]

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dc.contributor.author Curto, Ariadna
dc.contributor.author Donaire González, David
dc.contributor.author Barrera Gómez, Jose
dc.contributor.author Marshall, Julian D.
dc.contributor.author Nieuwenhuijsen, Mark J.
dc.contributor.author Wellenius, Gregory A.
dc.contributor.author Tonne, Cathryn
dc.date.accessioned 2017-03-10T09:22:48Z
dc.date.available 2017-03-10T09:22:48Z
dc.date.issued 2016-02-22
dc.identifier.uri http://hdl.handle.net/10230/28201
dc.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 µg/m3).
dc.description.abstract Raw data of PM2.5 and CO from an indoor wood-combustion experiment. We evaluated the performance of two low-cost sensors measuring fine particulate matter (PM2.5) (HAPEX Nano, Climate Solutions Consulting, and TZOA-R Model RD02, MyTZOA) and one measuring carbon monoxide (CO) (EL-USB-CO, Lascar Electronics Ltd.) in a real-world wood-combustion experiment. PM2.5 devices were compared against a DustTrak (Model 8534, TSI Inc.) and a BGI pump (BGI4004, BGI Inc.) and the EL-USB-CO data-logger was compared against a Q-Trak (Model 7575, TSI Inc.). Sampling was conducted in a single-family house in Terrassa (Spain) during five non-consecutive days. All devices were co-located 1 meter away from an indoor fireplace and 0.6 meters above the ground. Fire was set once per day with hardwood logs and kept burning for 12 hours including a minimum of 2 hours with an opened window. The data provided is the raw output from all the devices tested for the 5 sampling days aiming interested researchers to play with the data and reproduce our findings.
dc.description.sponsorship The research leading to these results received funding from the Brown India Initiative of Brown University and the European Research Council under ERC Grant Agreement number 336167 for the CHAI Project.
dc.language.iso eng
dc.publisher Universitat Pompeu Fabra
dc.relation Publicació relacionada: Curto A, Donaire-Gonzalez D, Barrera-Gómez J, Marshall JD, Nieuwenhuijsen MJ, Wellenius GA, Tonne C. Performance of low-cost monitors to assess household air pollution. Environ Res. 2018;163: 53-63. DOI: 10.1016/j.envres.2018.01.024 http://hdl.handle.net/10230/33850
dc.relation.isreferencedby http://hdl.handle.net/10230/33850
dc.rights Dades sota llicència Creative Commons Reconocimiento 3.0 España (CC BY 3.0 ES)
dc.rights.uri http://creativecommons.org/licenses/by/3.0/es/
dc.title Performance of low-cost monitors to assess household air pollution [dataset]
dc.type info:eu-repo/semantics/other
dc.type Dataset
dc.subject.keyword Indoor air pollution
dc.subject.keyword Household air pollution
dc.subject.keyword Low-cost sensors
dc.subject.keyword Low-cost technology
dc.subject.keyword Long-term sampling
dc.subject.keyword HAPEX Nano
dc.subject.keyword TZOA-R
dc.subject.keyword DustTrak
dc.subject.keyword EL-USB-CO
dc.subject.keyword Q-Trak
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/336167
dc.rights.accessRights info:eu-repo/semantics/openAccess


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