Dataset Informational Distance Validation

This dataset provides the curated empirical evidence for the paper "Informational Friction: A Unified Theory of Energy-Scaled Focus in Impaired Systems." It comprises data from 347 peer-reviewed studies across five domains: human vision, human audition, insect vision, fish predation, and AI inference.Each entry includes the study ID, DOI, system and impairment type, the measured impairment factor (\eta), and the calculated universal exponent (\alpha) for the Energy Scaling Law. The dataset validates the paper's central thesis that the thermodynamic cost of overcoming informational friction scales with a universal exponent of approximately 1.5. This work serves as the empirical foundation for applying the "Binary Soul" framework to biophysics and artificial intelligence.