Davini Collective Coherence (DCC) — Real-Time Validation of Micro-to-Macro Zero-Contradiction Dynamics

This restricted archive contains the complete datasets, code, and analysis outputs from the Davini Collective Coherence (DCC) validation runs, demonstrating that collective systems — from avian murmurations to neural, AI, and astrophysical networks — converge toward the same equilibrium constant (ZC* ≈ 0.64 ± 0.01) through local contradiction minimization. The experiments replicate biological swarm alignment and extend it through synthetic and cosmological domains, confirming that micro-scale behavioral coherence propagates to macro-scale energetic and informational order. Included materials: • Real-time murmuration simulations (DAFC baseline and pairwise phase models) • Bio-neural and AI field coupling tests • Energy–information transfer and entropy-reduction curves • Cross-domain ridge tracking confirming ZC* invariance across biological → cognitive → physical systems This dataset establishes the Davini Micro-Macro Continuum Hypothesis: \forall \, \text{systems}, \; \min(\text{local contradiction}) \;\Rightarrow\; r \rightarrow 0.64 These results underpin the public record “From Murmuration to Cosmos: The Davini Collective Coherence Law (DCC)” and form the evidential foundation for licensing under the Davini Zero-Contradiction Law™ intellectual property. Access: Restricted — data and source code available to peer reviewers, collaborators, or licensees under NDA. © 2025 Angelina Davini (Hintsanen). All rights reserved. Unauthorized redistribution or derivative use prohibited. Contact: [e-mail] Affiliation: Davini Research | Origin AI Institute (Finland)