Data for the Bhasin Entropy–Confinement Law (BEL): Dynamical Coupling Between Entropy Rate and Attractor Structure in Coarse-Grained Systems

This dataset provides precomputed coarse-grained dynamical metrics used in the study of the Bhasin Entropy–Confinement Law (BEL), an empirical constraint linking transition entropy rate and attractor confinement in discrete-state dynamical systems. The data supports reproducibility of the main results reported in the BEL framework, including: Dynamical entropy–confinement coupling in gravitational-wave event-centered representations Cross-domain replication in sleep EEG data Independent-shuffle null tests demonstrating that the dynamical relation is not recoverable from marginal distributions or trivial pairing structure Cross-resolution robustness of the gravitational-wave dynamical BEL across multiple coarse-graining scales The dataset consists of precomputed window-level and event-level metrics derived from coarse-grained representations. It includes entropy rate, attractor strength, and associated grouping variables (e.g., event identifiers, detectors, subjects, acquisition types, and relative time indices). No raw gravitational-wave strain data or raw EEG recordings are included. The dataset contains only derived quantities sufficient to reproduce all figures, statistical summaries, and null-model analyses presented in the associated work. This dataset is intended as a reproducibility layer for the reported results. The full analysis code is available separately. This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. Users are free to share and adapt the material with appropriate attribution. If you use this dataset, please cite: Bhasin, A. (2026). Data for: The Bhasin Entropy–Confinement Law (BEL). Zenodo. https://doi.org/10.5281/zenodo.19686843