Cargando…

Dataset from chemical gas sensor array in turbulent wind tunnel

The dataset includes the acquired time series of a chemical detection platform exposed to different gas conditions in a turbulent wind tunnel. The chemo-sensory elements were sampling directly the environment. In contrast to traditional approaches that include measurement chambers, open sampling sys...

Descripción completa

Detalles Bibliográficos
Autores principales: Fonollosa, Jordi, Rodríguez-Luján, Irene, Trincavelli, Marco, Huerta, Ramón
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4510097/
https://www.ncbi.nlm.nih.gov/pubmed/26217739
http://dx.doi.org/10.1016/j.dib.2015.02.014
_version_ 1782382115937058816
author Fonollosa, Jordi
Rodríguez-Luján, Irene
Trincavelli, Marco
Huerta, Ramón
author_facet Fonollosa, Jordi
Rodríguez-Luján, Irene
Trincavelli, Marco
Huerta, Ramón
author_sort Fonollosa, Jordi
collection PubMed
description The dataset includes the acquired time series of a chemical detection platform exposed to different gas conditions in a turbulent wind tunnel. The chemo-sensory elements were sampling directly the environment. In contrast to traditional approaches that include measurement chambers, open sampling systems are sensitive to dispersion mechanisms of gaseous chemical analytes, namely diffusion, turbulence, and advection, making the identification and monitoring of chemical substances more challenging. The sensing platform included 72 metal-oxide gas sensors that were positioned at 6 different locations of the wind tunnel. At each location, 10 distinct chemical gases were released in the wind tunnel, the sensors were evaluated at 5 different operating temperatures, and 3 different wind speeds were generated in the wind tunnel to induce different levels of turbulence. Moreover, each configuration was repeated 20 times, yielding a dataset of 18,000 measurements. The dataset was collected over a period of 16 months. The data is related to “On the performance of gas sensor arrays in open sampling systems using Inhibitory Support Vector Machines”, by Vergara et al.[1]. The dataset can be accessed publicly at the UCI repository upon citation of [1]: http://archive.ics.uci.edu/ml/datasets/Gas+sensor+arrays+in+open+sampling+settings
format Online
Article
Text
id pubmed-4510097
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-45100972015-07-27 Dataset from chemical gas sensor array in turbulent wind tunnel Fonollosa, Jordi Rodríguez-Luján, Irene Trincavelli, Marco Huerta, Ramón Data Brief Data Article The dataset includes the acquired time series of a chemical detection platform exposed to different gas conditions in a turbulent wind tunnel. The chemo-sensory elements were sampling directly the environment. In contrast to traditional approaches that include measurement chambers, open sampling systems are sensitive to dispersion mechanisms of gaseous chemical analytes, namely diffusion, turbulence, and advection, making the identification and monitoring of chemical substances more challenging. The sensing platform included 72 metal-oxide gas sensors that were positioned at 6 different locations of the wind tunnel. At each location, 10 distinct chemical gases were released in the wind tunnel, the sensors were evaluated at 5 different operating temperatures, and 3 different wind speeds were generated in the wind tunnel to induce different levels of turbulence. Moreover, each configuration was repeated 20 times, yielding a dataset of 18,000 measurements. The dataset was collected over a period of 16 months. The data is related to “On the performance of gas sensor arrays in open sampling systems using Inhibitory Support Vector Machines”, by Vergara et al.[1]. The dataset can be accessed publicly at the UCI repository upon citation of [1]: http://archive.ics.uci.edu/ml/datasets/Gas+sensor+arrays+in+open+sampling+settings Elsevier 2015-03-04 /pmc/articles/PMC4510097/ /pubmed/26217739 http://dx.doi.org/10.1016/j.dib.2015.02.014 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/).
spellingShingle Data Article
Fonollosa, Jordi
Rodríguez-Luján, Irene
Trincavelli, Marco
Huerta, Ramón
Dataset from chemical gas sensor array in turbulent wind tunnel
title Dataset from chemical gas sensor array in turbulent wind tunnel
title_full Dataset from chemical gas sensor array in turbulent wind tunnel
title_fullStr Dataset from chemical gas sensor array in turbulent wind tunnel
title_full_unstemmed Dataset from chemical gas sensor array in turbulent wind tunnel
title_short Dataset from chemical gas sensor array in turbulent wind tunnel
title_sort dataset from chemical gas sensor array in turbulent wind tunnel
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4510097/
https://www.ncbi.nlm.nih.gov/pubmed/26217739
http://dx.doi.org/10.1016/j.dib.2015.02.014
work_keys_str_mv AT fonollosajordi datasetfromchemicalgassensorarrayinturbulentwindtunnel
AT rodriguezlujanirene datasetfromchemicalgassensorarrayinturbulentwindtunnel
AT trincavellimarco datasetfromchemicalgassensorarrayinturbulentwindtunnel
AT huertaramon datasetfromchemicalgassensorarrayinturbulentwindtunnel