CO₂ Boundary-Condition Humidity Ramp Dataset

CO₂ Boundary-Condition Humidity Ramp Dataset Title: CO₂ Boundary-Condition Humidity Ramp Dataset — NDIR and Thermal Conductivity Sensor Comparison in a Clinical IVF Incubator Environment Authors: Michael Rusnack, BSE, ME PharmaWatch® • AmericanPharma Technologies • Boise, ID 83702 [e-mail] Associated Publication: Rusnack, M. (2026). Boundary-Condition Robustness of NDIR and Thermal Conductivity CO₂ Sensors Under Near-Saturation Humidity: Implications for Measurement Uncertainty and Deployment Qualification in High-Humidity Clinical Environments. Submitted to NCSL International 2026 Workshop & Symposium; manuscript under review, Transfusion Medicine. Dataset DOI: https://doi.org/[insert upon upload] Date of Data Collection: [Insert test dates] Geographic Location: Boise, Idaho, USA Dataset Description This dataset contains raw and derived CO₂ measurement data collected during controlled humidity ramp testing of two CO₂ sensing implementations — diffusion-based non-dispersive infrared (NDIR) and thermal conductivity (TC, Sensirion STC31-C) — within a clinical IVF incubator operating at 37°C and nominal 5% CO₂. Testing was conducted to characterize boundary-condition sensor behavior at and beyond the manufacturer-rated upper operating humidity limit of 95% RH. File Contents CO2_HumidityRamp_RawData.csv Raw CO₂ and environmental measurements at 5-minute intervals across all four dwell conditions. Columns: Timestamp, RH_Actual (%), Temp_Actual (°C), CO2_NDIR (%), CO2_TC (%), CO2_Reference (%), U_ref_k2 (%). CO2_HumidityRamp_Statistics.xlsx Derived measurement statistics per dwell condition including Mean CO₂, Standard Deviation (1σ), Min, Max, Range, Deviation from Setpoint, ±2σ bounds, and expanded uncertainty (k=2). Corresponds directly to Table 2 of the associated publication. CalibrationTraceability.pdf Calibration certificates for reference CO₂ instrumentation and reference RH/T sensors, issued by ISO 17025-accredited laboratories with traceability to NIST. Instrument identifiers redacted for proprietary reasons; accreditation body and calibration dates retained. TestProtocol.pdf Humidity ramp protocol document describing dwell conditions, stabilization criteria, step sizes, boundary dwell duration, and replicate trial structure as implemented during data collection. Dwell Conditions Summary RH Setpoint (%) RH Actual (%) Temp (°C) N Mean CO₂ (%) Deviation from SP (%) 80 81.523 37.498 150 4.695 −0.305 90 90.677 37.071 150 5.020 +0.020 95 95.549 37.080 150 5.075 +0.065 99 99.571 37.022 150 3.739 −1.262 Variable Definitions RH Actual: Measured relative humidity at sensor location, independently calibrated reference Temp Actual: Measured dry-bulb temperature at sensor location, independently calibrated reference CO2_NDIR: CO₂ concentration reported by diffusion-based NDIR sensor (% CO₂) CO2_TC: CO₂ concentration reported by TC sensor, Sensirion STC31-C (% CO₂) CO2_Reference: CO₂ concentration from calibrated reference analyzer traceable to certified gas mixtures (% CO₂) U_ref_k2: Expanded uncertainty (k=2) of reference CO₂ instrumentation (% CO₂) Deviation from SP: Mean CO₂ minus setpoint concentration (% CO₂) 1σ Std Dev: Standard deviation of N=150 observations within equilibrium window of each dwell ±2σ Bounds: Mean ± 2 × Std Dev; expected ~5% of observations outside under normal distribution Licensing This dataset is released under Creative Commons Attribution 4.0 International (CC BY 4.0). You are free to share and adapt the material for any purpose, provided appropriate credit is given to the authors and the associated publication is cited. Recommended Citation Rusnack, M. (2026). CO₂ Boundary-Condition Humidity Ramp Dataset — NDIR and Thermal Conductivity Sensor Comparison in a Clinical IVF Incubator Environment [Dataset]. Zenodo. https://doi.org/[insert DOI] Acknowledgments Data collection was conducted using instrumentation calibrated by ISO 17025-accredited laboratories with traceability to the National Institute of Standards and Technology (NIST). AI-assisted writing tools were used during README preparation solely to support language editing and structural refinement. All data, analyses, and interpretations are those of the author.