Research Data for "Performance Evaluation of Seven Low-Cost Humidity and Temperature Sensors in Enclosed Calibration Systems: Self-Heating Effects, Static Accuracy, and Measurement Repeatability"
Description
This dataset contains the experimental measurement data supporting the study entitled “Performance Evaluation of Seven Low-Cost Humidity and Temperature Sensors in Enclosed Calibration Systems: Self-Heating Effects, Static Accuracy, and Measurement Repeatability.” Seven commercially available digital temperature and relative humidity sensors were evaluated: AHT10, AHT21B, AHT30, SHT31, HDC1080, HTU21D, and DHT22 (AM2302). The dataset comprises 12 Excel workbooks covering five experimental components: (1) self-heating characterization of the enclosed measurement system; (2) multipoint relative humidity calibration using saturated MgCl2, NaCl, KCl, and K2SO4 solutions corresponding to nominal reference conditions of 33.1, 75.3, 84.3, and 97.3% RH at 25 °C; (3) dry-condition stepped temperature testing at 10, 20, 30, and 40 °C; (4) humid-condition stepped temperature testing used for controlled humidity–temperature cross-sensitivity analysis; and (5) dynamic humidity-response testing using an ultrasonic humidification module controlled through a MOSFET output. Measurements were generally recorded at 10 s intervals. Each saturated-salt experiment was repeated three times over approximately 24 h. The stepped-temperature datasets contain three repeated cycles at each temperature setpoint, with steady-state measurement records retained after exclusion of transition periods. The dynamic humidity-response dataset contains synchronized temperature, relative humidity, and humidifier control-state measurements. A README file accompanying the dataset provides detailed descriptions of the files, experimental conditions, variable names, units, data-processing status, and MOSFET control-state coding.
Files
Steps to reproduce
Steps to reproduce Use the timestamps and sensor columns provided in the XLSX files. Unless otherwise stated, measurements were recorded at 10 s intervals. For the self-heating analysis, use Self-Heating_Test_Raw_Data.xlsx. Calculate the mean temperature of the seven sensors during the steady-state portions of the first 4 h at an incubator setpoint of 25.0 °C and the following 4 h at 23.5 °C. Determine the self-heating offset as the difference between the mean chamber temperature and the corresponding incubator setpoint. For saturated-salt calibration, use the paired humidity and temperature files for MgCl2, NaCl, KCl, and K2SO4. Each condition contains three independent 24 h repetitions. Exclude the initial transient period and identify steady-state data using the derivative-based criterion applied to the smoothed mean temperature signal, as described in the associated manuscript. Calculate sensor bias, RMSE, and standard deviation relative to the corresponding temperature-corrected reference humidity value. The nominal reference values at 25 °C are 33.1, 75.3, 84.3, and 97.3% RH for MgCl2, NaCl, KCl, and K2SO4, respectively. For temperature-performance analysis, use Temperature_Step_Test_Dry_Condition_Raw_Data.xlsx. The dataset contains transition-free steady-state measurements at 10, 20, 30, and 40 °C, with three repeated cycles and 360 samples per setpoint per cycle. Calculate temperature bias relative to the incubator PT100 setpoint and summarize the three cycles using mean values and standard deviations. For humidity–temperature cross-sensitivity analysis, compare Temperature_Step_Test_Dry_Condition_Raw_Data.xlsx with Temperature_Step_Test_Humid_Condition_Raw_Data.xlsx at the same setpoints. Calculate the humidity-induced temperature bias shift as ΔBias = Bias_humid − Bias_dry and the corresponding change in relative humidity as ΔRH = RH_humid − RH_dry. For dynamic humidity-response analysis, use Humidity_Step_Test_Raw_Data.xlsx. Identify humidification cycles from MOSFET state transitions, where 0 = ultrasonic humidification module OFF and 1 = ON. A 0→1 transition marks the start of humidification. For each valid cycle, calculate the baseline as the mean RH during the 30 s immediately before activation and the peak as the mean RH during the final 30 s of the active period. Exclude cycles with ΔRH < 1.0% RH. Determine T63 and T95 from the time required to reach 63% and 95% of the humidity increment, respectively. Hysteresis is calculated as the mean RH during the humidification segment minus the mean RH during the immediately following drying segment. Detailed experimental procedures, steady-state selection criteria, and statistical analyses are provided in the associated manuscript and the accompanying README file.
Institutions
- Bilecik Şeyh Edebali ÜniversitesiBilecik, Bilecik