Random gas mixtures for efficient gas sensor calibration: Dataset
<p>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).</p> <p>An exact description of the measurement setup and its results can be found in the open access article:</p> <p>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</p> <p><strong>Dataset:</strong><br> The mat-file comprises diffrent datasets:</p> <ul> <li><strong>as_mlv: </strong>raw signal (~ logarithmic conductance) of the AS-MLV containing 12202 sensor cycles with 12000 data points (@ 100 Hz)</li> <li><strong>as_mlv_p2: </strong>raw signal (~ logarithmic conductance) of the AS-MLV-P2 containing 12202 sensor cycles with 12000 data points (@ 100 Hz)</li> <li><strong>as_mlv_targets and as_mlv_p2_targets:</strong> <ul> <li><strong>acetone: </strong>acetone concentration in ppb</li> <li><strong>benzene</strong>: benzene concentration in ppb</li> <li><strong>formaldehyde</strong>: formaldehyde concentration in ppb, NaN values are undefined formaldehyde concentrations</li> <li><strong>toluene</strong>: toluene concentration in ppb</li> <li><strong>carbon_monoxide</strong>: carbon monoxide concentration in ppb</li> <li><strong>hydrogen</strong>: hydrogen concentration in ppb</li> <li><strong>humidity</strong>: relative humidity in %RH</li> <li><strong>voc_sum_ppb: </strong>sum of all VOC concentations (acetone, toluene, formaldehyde, benzene) in ppb </li> <li><strong>voc_sum_ugm3: </strong>sum of all VOC concentations (acetone, toluene, formaldehyde, benzene) in µg/m<sup>3</sup></li> <li><strong>count</strong>: number of the gas mixture exposure, each gas mixture exposure contains approx.10 sensor cycles</li> <li><strong>measurement</strong>: number of the measurement, each measurement contains approx.100 gas exposures</li> <li><strong>ranges</strong>: marked cycles for the data evaluation with group number</li> </ul> </li> </ul> <p> </p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0