2026-10-09T19:05:18Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33989536 2026-10-06T11:54:45Z category_26218 item_type_3 month_year_10_2026

Synthetic Spacecraft Telemetry Dataset with Physics-Constrained Validation Yash Thakare (25105369) Sachit Meshram (25343286) Aerospace materials Anomaly detection ensembles diffusion model reveals synthetic data derivatives <blockquote><p dir="ltr">This dataset contains synthetically generated spacecraft telemetry for Low Earth Orbit (LEO) missions using a physics-constrained tabular diffusion framework. The dataset includes spacecraft telemetry parameters generated under different space-weather conditions, including Quiet, Moderate, and Storm scenarios. The telemetry variables include temperature, battery voltage, solar current, radiation level, CPU load, signal strength, orbit altitude, and power consumption. Controlled anomaly cases are included for anomaly-detection experiments. The generated data were evaluated using physics-based constraints and statistical validation methods to assess their consistency and distributional characteristics. The dataset is provided for research on spacecraft telemetry generation, anomaly detection, synthetic data generation, and space-weather-conditioned modeling.</p></blockquote><p><br></p> 2026-10-06T11:54:45Z Dataset Dataset 10.6084/m9.figshare.33989536.v2 https://figshare.com/articles/dataset/Synthetic_Spacecraft_Telemetry_Dataset_with_Physics-Constrained_Validation/33989536 CC BY 4.0