ZetaPrime Dataset: Riemann Zeta Zeros Enhanced with Multiplicative Thermodynamic System (MTS) Classification, GUE Statistics, and Financial Crisis Prediction Signals — S&P 500, 1990–2026

ZetaPrime Dataset v2.0 — first public dataset combining exact nontrivial zeros of the Riemann zeta function ζ(s) with multiplicative thermodynamic system (MTS) classification, GUE universality statistics, Hilbert–Pólya Coulomb gas analysis, and 36 years of real S&P 500 financial data (1990–2026). Contains 50 zeros computed via mpmath to 35 significant digits, 29 variables per zero including Hardy Z-function derivatives, MTS phase (STABLE/WARMING/CRITICAL/CRISIS), thermodynamic temperature T=1/log(γ/2π), MTS potential V_MTS(γ), normalized GUE spacing, and Coulomb equilibrium force V'(γₙ). Financial component: 9122 trading days, Sharpe 0.733 vs B&H 0.536, MaxDD −27.3% vs −56.8%. Proprietary signal formula not disclosed. Theorems T7–T12 verified numerically. GPU throughput benchmark: 75.4M pts/s (T4 float32). Novel result: MTS potential minima reproduce zeta zeros with ρ=0.938 without prior knowledge of γₙ