Identifiability and Scheduling for Shared-Timestamp Polynomial Sensor Calibration

This dataset provides the numerical results and supporting data for the simulation studies presented in the manuscript "Identifiability and Scheduling for Shared-Timestamp Polynomial Sensor Calibration". The dataset includes: 1. Paired-sensor calibration results, including trial-level measurements, summary statistics, and bootstrap confidence intervals. 2. Parameter sensitivity analysis results, including trial-level data and aggregated performance summaries under different experimental conditions. 3. Identifiability analysis results for symmetric timestamp configurations, including numerical rank evaluation. 4. Supporting figures generated from the computational experiments. All numerical datasets are provided in CSV format to facilitate inspection, independent analysis, and reproducibility. The accompanying figures provide visual representations of the experimental results. These data support the evaluation of sensor calibration performance, parameter sensitivity, statistical reliability, and identifiability under shared-timestamp scheduling configurations. The associated computational scripts and execution environment are documented in the companion Code Ocean capsule, which has been submitted for reproducibility verification.