Data set from chemical sensor array exposed to turbulent gas mixtures
A chemical detection platform composed of 8 chemo-resistive gas sensors was exposed to turbulent gas mixtures generated naturally in a wind tunnel. The acquired time series of the sensors are provided. The experimental setup was designed to test gas sensors in realistic environments. Traditionally,...
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| Format: | Online |
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Elsevier
2015
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4510140/ |
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pubmed-4510140 |
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pubmed-45101402015-07-27 Data set from chemical sensor array exposed to turbulent gas mixtures Fonollosa, Jordi Rodríguez-Luján, Irene Trincavelli, Marco Huerta, Ramón Data Article A chemical detection platform composed of 8 chemo-resistive gas sensors was exposed to turbulent gas mixtures generated naturally in a wind tunnel. The acquired time series of the sensors are provided. The experimental setup was designed to test gas sensors in realistic environments. Traditionally, chemical detection systems based on chemo-resistive sensors include a gas chamber to control the sample air flow and minimize turbulence. Instead, we utilized a wind tunnel with two independent gas sources that generate two gas plumes. The plumes get naturally mixed along a turbulent flow and reproduce the gas concentration fluctuations observed in natural environments. Hence, the gas sensors can capture the spatio-temporal information contained in the gas plumes. The sensor array was exposed to binary mixtures of ethylene with either methane or carbon monoxide. Volatiles were released at four different rates to induce different concentration levels in the vicinity of the sensor array. Each configuration was repeated 6 times, for a total of 180 measurements. The data is related to “Chemical Discrimination in Turbulent Gas Mixtures with MOX Sensors Validated by Gas Chromatography-Mass Spectrometry”, by Fonollosa et al. [1]. Elsevier 2015-03-20 /pmc/articles/PMC4510140/ /pubmed/26217747 http://dx.doi.org/10.1016/j.dib.2015.02.022 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Fonollosa, Jordi Rodríguez-Luján, Irene Trincavelli, Marco Huerta, Ramón |
| spellingShingle |
Fonollosa, Jordi Rodríguez-Luján, Irene Trincavelli, Marco Huerta, Ramón Data set from chemical sensor array exposed to turbulent gas mixtures |
| author_facet |
Fonollosa, Jordi Rodríguez-Luján, Irene Trincavelli, Marco Huerta, Ramón |
| author_sort |
Fonollosa, Jordi |
| title |
Data set from chemical sensor array exposed to turbulent gas mixtures |
| title_short |
Data set from chemical sensor array exposed to turbulent gas mixtures |
| title_full |
Data set from chemical sensor array exposed to turbulent gas mixtures |
| title_fullStr |
Data set from chemical sensor array exposed to turbulent gas mixtures |
| title_full_unstemmed |
Data set from chemical sensor array exposed to turbulent gas mixtures |
| title_sort |
data set from chemical sensor array exposed to turbulent gas mixtures |
| description |
A chemical detection platform composed of 8 chemo-resistive gas sensors was exposed to turbulent gas mixtures generated naturally in a wind tunnel. The acquired time series of the sensors are provided. The experimental setup was designed to test gas sensors in realistic environments. Traditionally, chemical detection systems based on chemo-resistive sensors include a gas chamber to control the sample air flow and minimize turbulence. Instead, we utilized a wind tunnel with two independent gas sources that generate two gas plumes. The plumes get naturally mixed along a turbulent flow and reproduce the gas concentration fluctuations observed in natural environments. Hence, the gas sensors can capture the spatio-temporal information contained in the gas plumes. The sensor array was exposed to binary mixtures of ethylene with either methane or carbon monoxide. Volatiles were released at four different rates to induce different concentration levels in the vicinity of the sensor array. Each configuration was repeated 6 times, for a total of 180 measurements. The data is related to “Chemical Discrimination in Turbulent Gas Mixtures with MOX Sensors Validated by Gas Chromatography-Mass Spectrometry”, by Fonollosa et al. [1]. |
| publisher |
Elsevier |
| publishDate |
2015 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4510140/ |
| _version_ |
1613250294482731008 |