GMR™ - MASTER - DATASET - FINAL 3.0

GRM™ MASTER DATASET 3.0 is a complete, multi-layered and fully deterministic dataset designed as a reference implementation of the GRM™ / UCA™ temporal–resonance framework. The dataset integrates several analytical domains that are usually processed separately: - physical time-series signals - derivative-based transformations (TMap) - phase and amplitude dynamics - multi-layer coherence analysis (MLCI) - temporal-flow reconstruction (TFR) - time-localized resonance event detection Together, these components form a coherent and structured view of temporal–resonance dynamics across multiple system layers. All data are deterministic, reproducible, ASCII-compatible and suitable for scientific analysis, modelling, simulation and comparison with other classical or AI-based systems. DATASET CONTENTS: - Canonical TSV data (8-dimensional temporal embedding) - TMap layer (first/second derivatives, variance, curvature, energy density) - Phase–Temporal Metrics (phase, drift, harmonicity, envelope, resonance index) - Multilayer Coherence (MLCI) – static and time-resolved - Temporal Flow Reconstruction (TFR) - Resonance Event Map - Validation results (V1–V8) - Release manifest + integrity hash for auditability INTENDED USE: - temporal and phase-based dynamics - nonlinear dynamical systems - multi-layer coherence and resonance modelling - signal processing research - GNSS-related phase/temporal modelling - systems and theoretical physics - development of AI models inspired by temporal structures The dataset provides a complete, structured and reproducible pipeline that can serve as a foundation for further research, analysis and comparative studies.