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