Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Measuring Hydrogen in Indoor Air with a Selective Metal Oxide Semiconductor Sensor: Dataset

Authors: Amann, Johannes; Baur, Tobias; Schultealbert, Caroline;

Measuring Hydrogen in Indoor Air with a Selective Metal Oxide Semiconductor Sensor: Dataset

Abstract

The dataset was created at the Lab for Measurement Technology (Saarland University). It consists of the resistance values of two temperature-modulated semiconductor metaloxide gas sensors (SGP30, Sensirion AG, Switzerland), target values from the calibration and values from the field tests of the reference measurement systems GC-RCP (Peak Performer 1, Peak Laboratories LLC, USA), TD-GC-MS (Markes International, UK; Thermo Fisher Scientific Inc., USA) and X-pid 9500 (Dräger Safety AG & Co KGaA, Germany). Temperature cycle: The TC consists of 10 steps at 400 °C with a duration of 5 s each, followed by different low-temperature steps, which are set to 100, 125, 150, 175, 200, 275, 300, 325, 350 and 375 °C with a duration of 7 s each resulting in a total duration of the TC of 120 s. The whole dataset can be divided into different laboratory measurements and field tests. The chronological sequence of the measurements is as follows: Initial calibration (11 days) 1st field test period (4 weeks) 1st Recalibration (11 days) 2nd field test period (3 weeks) 2nd Recalibration (5 days) Calibration: The calibration measurements were done with the custom-built gas mixing apparatus (GMA) from the Lab for Measurement Technology, where mixtures of the following substances are generated: Acetone, Toluene, Formaldehyde, Ethanol, Hydrogen, Carbon Monoxide, and Humidity. The background concentration ranges for the difference substances consists of the following concentrations and the distribution is based on Latin Hypercube Sampling: Substance Min. Max. Carbon Monoxide 150 ppb 2000 ppb Hydrogen 400 ppb 2000 ppb Humidity 25 %RH 70 %RH Acetone 14 ppb 300 ppb Toluene 4 ppb 300 ppb Formaldehyde 1 ppb 400 ppb Ethanol 4 ppb 300 ppb For the calibration, there are also gas mixtures in which the concentration ranges for individual substances have been extended to 1000 ppb for Acetone, Toluene and Ethanol and to 4000 ppb for Hydrogen. Field tests: The field tests were performed in a regular office of our building. During the sensors are running continuous, release tests via evaporation of a certain volume of different VOCs were performed. As often as possible measurements with reference devices were performed. Dataset: The mat-file comprises different datasets: sensor0 and sensor1: uid unique identifier sensor0 and sensor1: type: sensor type, here both SGP30, multi-pixel gas sensor sensor0: conditioned 0: installed as delivered sensor1: conditioned 1: pre-treated with Octamethylcyclotetrasiloxane at 2 ppm over 18 h sensor0 and sensor1: resistance0-3: resistance values of the Sensirion SGP30 (4 pixel per sensor) containing 50241 sensor cycles with 2400 data points (@ 10 Hz) sensor0_targets and sensor1_targets: time: timestamp at the beginning of each cycle (first data point of the cycle) lab: marked cycles as laboratory measurements fieldtest: marked cycles as fieldtests range: marked cycles for the data evaluation with group number acetone: acetone concentration in ppb ethanol: ethanol concentration in ppb formaldehyde: formaldehyde concentration in ppb toluene: toluene concentration in ppb carbon_monoxide: carbon monoxide concentration in ppb hydrogen: hydrogen concentration in ppb humidity: relative humidity in %RH TVOCppb: sum of all VOC concentations (acetone, toluene, formaldehyde, ethanol) in ppb TVOCugm3: sum of all VOC concentations (acetone, toluene, formaldehyde, ethanol) in µg/m3 limonene: limonene concentration in ppb xylene: xylene concentration in ppb reference: RCP hydrogen values during fieldtests with timestamp whenever reference measurements have been done reference: GCMS toluene values during fieldtests with timestamp whenever reference measurements have been done reference: Xpid toluene, acetone, xylene and isopropyl values during fieldtests with timestamp whenever reference measurements have been done An exact description of the measurement setup and its results can be found in the open access articles: Baur, T.; Amann, J.; Schultealbert, C.; Schütze, A. Field Study of Metal Oxide Semiconductor Gas Sensors in Temperature Cycled Operation for Selective VOC Monitoring in Indoor Air. Atmosphere 2021, 12, 647. https://doi.org/10.3390/atmos12050647 Schultealbert, C.; Amann, J.; Baur, T.; Schütze, A. Measuring Hydrogen in Indoor Air with a Selective Metal Oxide Semiconductor Sensor. Atmosphere 2021, 12, 366. https://doi.org/10.3390/atmos12030366 Other publications based on this dataset are the following open access articles: Robin, Y.; Amann, J.; Baur, T.; Goodarzi, P.; Schultealbert, C.; Schneider, T.; Schütze, A. High-Performance VOC Quantification for IAQ Monitoring Using Advanced Sensor Systems and Deep Learning. Atmosphere 2021, 12, 1487. https://doi.org/10.3390/atmos12111487 Amann, J., Baur, T., Schultealbert, C. , Schütze, A. Bewertung der Innenraumluftqualität über VOC-Messungen mit Halbleitergassensoren - Kalibrierung, Feldtest, Validierung. tm - Technisches Messen, 2021, 88, 1. https://doi.org/10.1515/teme-2021-0058 Schütze, A.; Amann, J., Baur, T., Schultealbert, C. Messung von VOCs in Innenräumen mit low-cost Sensorik und Vergleich mit analytischen Messungen. Umweltbundesamt, UMWELT UND GESUNDHEIT 01/2022, Sonderheft WaBoLu-Innenraumtage 2021, ISSN 1868-4340. Amann, J., Schütze, A. Kontinuierliche VOC-Messung in Innenräumen mit low-cost MOS-Sensorik. Jahresmagazin Mess- und Sensortechnik 2021/2022, Institut für wissenschaftliche Veröffentlichungen (IWV), 2021, ISSN: 1618-8357

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 71
    download downloads 9
  • 71
    views
    9
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
71
9
Related to Research communities