Random gas mixtures for efficient gas sensor calibration: Dataset

The dataset was created at the Lab for Measurement Technology (Saarland University). It consists the raw signals (proportional to the logarithmic conductance) of two temperature-modulated semiconductor metaloxide gas sensors (ScioSense AS-MLV and AS-MLV-P2, former AppliedSensor, ams). An exact description of the measurement setup and its results can be found in the open access article: Baur, T., Bastuck, M., Schultealbert, C., Sauerwald, T., and Schütze, A.: Random gas mixtures for efficient gas sensor calibration, J. Sens. Sens. Syst., 9, 411–424, 2020, https://doi.org/10.5194/jsss-9-411-2020 <strong>Dataset:</strong><br> The mat-file comprises diffrent datasets: <strong>as_mlv: </strong>raw signal (~ logarithmic conductance) of the AS-MLV containing 12202 sensor cycles with 12000 data points (@ 100 Hz) <strong>as_mlv_p2: </strong>raw signal (~ logarithmic conductance) of the AS-MLV-P2 containing 12202 sensor cycles with 12000 data points (@ 100 Hz) <strong>as_mlv_targets and as_mlv_p2_targets:</strong> <strong>acetone: </strong>acetone concentration in ppb <strong>benzene</strong>: benzene concentration in ppb <strong>formaldehyde</strong>: formaldehyde concentration in ppb, NaN values are undefined formaldehyde concentrations <strong>toluene</strong>: toluene concentration in ppb <strong>carbon_monoxide</strong>: carbon monoxide concentration in ppb <strong>hydrogen</strong>: hydrogen concentration in ppb <strong>humidity</strong>: relative humidity in %RH <strong>voc_sum_ppb: </strong>sum of all VOC concentations (acetone, toluene, formaldehyde, benzene) in ppb <strong>voc_sum_ugm3: </strong>sum of all VOC concentations (acetone, toluene, formaldehyde, benzene) in µg/m³ <strong>count</strong>: number of the gas mixture exposure, each gas mixture exposure contains approx.10 sensor cycles <strong>measurement</strong>: number of the measurement, each measurement contains approx.100 gas exposures <strong>ranges</strong>: marked cycles for the data evaluation with group number

本数据集由萨尔大学（Saarland University）测量技术实验室构建。其包含两款温度调制型金属氧化物半导体气体传感器（temperature-modulated semiconductor metaloxide gas sensors）的原始信号（与对数电导呈正比关系），两款传感器分别为ScioSense AS-MLV与AS-MLV-P2（原属AppliedSensor、ams品牌）。有关测量装置与实验结果的详细说明，可参阅开放获取论文：Baur, T., Bastuck, M., Schultealbert, C., Sauerwald, T., 与 Schütze, A.: 用于高效气体传感器校准的随机气体混合物，《传感器与传感系统学报》（J. Sens. Sens. Syst.），9卷，411–424页，2020年，https://doi.org/10.5194/jsss-9-411-2020<br><strong>数据集说明：</strong><br>该MAT文件（MAT-file）包含多组数据集：<br><strong>as_mlv：</strong>AS-MLV传感器的原始信号（近似对应对数电导），包含12202个传感器周期，每个周期含12000个数据点（采样率100 Hz）<br><strong>as_mlv_p2：</strong>AS-MLV-P2传感器的原始信号（近似对应对数电导），包含12202个传感器周期，每个周期含12000个数据点（采样率100 Hz）<br><strong>as_mlv_targets 与 as_mlv_p2_targets：</strong><br><strong>acetone：</strong>丙酮浓度，单位为ppb（parts per billion）<br><strong>benzene：</strong>苯浓度，单位为ppb（parts per billion）<br><strong>formaldehyde：</strong>甲醛浓度，单位为ppb（parts per billion），非数值（Not a Number，NaN）代表未定义的甲醛浓度<br><strong>toluene：</strong>甲苯浓度，单位为ppb（parts per billion）<br><strong>carbon_monoxide：</strong>一氧化碳浓度，单位为ppb（parts per billion）<br><strong>hydrogen：</strong>氢气浓度，单位为ppb（parts per billion）<br><strong>humidity：</strong>相对湿度，单位为%RH<br><strong>voc_sum_ppb：</strong>所有挥发性有机化合物（Volatile Organic Compounds，VOC）的总浓度（包含丙酮、甲苯、甲醛、苯），单位为ppb（parts per billion）<br><strong>voc_sum_ugm3：</strong>所有挥发性有机化合物（VOC）的总浓度（包含丙酮、甲苯、甲醛、苯），单位为µg/m³<br><strong>count：</strong>气体混合物暴露次数，每次气体混合物暴露包含约10个传感器周期<br><strong>measurement：</strong>测量次数，每次测量包含约100次气体暴露<br><strong>ranges：</strong>用于数据评估的标记周期，附带分组编号