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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 10 of 10 1 Online Decorrelation of Humidity and Temperature in Chemical Sensors for Continuous Monitoring ... Huerta, Ramon; Mosqueiro, Thiago S.; Fonollosa, Jordi. - : arXiv, 2016 BASE Show details 2 Data set from chemical sensor array exposed to turbulent gas mixtures Fonollosa, Jordi; Rodríguez-Luján, Irene; Trincavelli, Marco. - : Elsevier Inc., 2016 BASE Show details 3 Online Decorrelation of Humidity and Temperature in Chemical Sensors for Continuous Monitoring Huerta, Ramón; Mosqueiro, Thiago S.; Fonollosa, Jordi. - : Elsevier, 2016 BASE Show details 4 Chemical gas sensor array dataset Fonollosa, Jordi; Rodríguez-Luján, Irene; Huerta, Ramón. - : Elsevier Inc., 2016 BASE Show details 5 Dataset from chemical gas sensor array in turbulent wind tunnel Fonollosa, Jordi; Rodríguez-Luján, Irene; Trincavelli, Marco. - : Elsevier Inc., 2016 BASE Show details 6 Online decorrelation of humidity and temperature in chemical sensors for continuous monitoring Huerta, Ramón; Mosqueiro, Thiago; Fonollosa Magrinyà, Jordi. - : Elsevier B.V., 2016 BASE Show details 7 Chemical gas sensor array dataset Fonollosa, Jordi; Rodríguez-Luján, Irene; Huerta, Ramón. - : Elsevier, 2015 BASE Show details 8 Dataset from chemical gas sensor array in turbulent wind tunnel Fonollosa, Jordi; Rodríguez-Luján, Irene; Trincavelli, Marco. - : Elsevier, 2015 BASE Show details 9 Data set from chemical sensor array exposed to turbulent gas mixtures Fonollosa, Jordi; Rodríguez-Luján, Irene; Trincavelli, Marco; Huerta, Ramón. - : Elsevier, 2015 Abstract: 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]. Keyword: Data Article URL: http://www.ncbi.nlm.nih.gov/pubmed/26217747 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4510140/ https://doi.org/10.1016/j.dib.2015.02.022 BASE Hide details 10 Chemical Discrimination in Turbulent Gas Mixtures with MOX Sensors Validated by Gas Chromatography-Mass Spectrometry Fonollosa, Jordi; Rodríguez-Luján, Irene; Trincavelli, Marco. - : MDPI, 2014 BASE Show details

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