Trinamica CP364 – Structured Orbital Dataset Construction and Analysis (Full05 Framework) - A data-driven study based on 87 objects derived from JPL Horizons datasets

This work constitutes the data and methodological foundation of the ARSP (Active Regime Structural Prediction) framework previously published. In particular, this dossier provides a complete and explicit documentation of: • the construction of a high-resolution orbital dataset based on 87 objects• the Full01–Full05 processing pipeline starting from JPL Horizons raw data• the definition and computation of trinamical metrics• the transformation of the dataset into a structured dynamical space The primary contribution of this work does not lie in advanced analytical results, but in the rigorous and reproducible formalization of the process that enables such results. Higher-level analyses, including: • identification of dynamical regimes• the demonstration of non-random structure• multi-scale and cross-pipeline validation• development of the ARSP model have been developed and documented separately. This dossier therefore provides: - the structural, computational, and methodological foundation upon which those analyses are built. The separation between dataset construction and advanced analysis is explicitly maintained in order to ensure: • methodological clarity• independent verifiability• full reproducibility Within this framework, the present work represents: - the foundational layer of the Trinamica CP364 framework, upon which subsequent analytical developments are based. Dataset Availability and Reproducibility The full dataset consists of structured orbital data for 87 objects derived from JPL Horizons. Due to size constraints, this release includes: a representative preview for each object designed to preserve the structure, format, and interpretability of the full dataset In addition, this release provides: the complete computational pipeline (Full01–Full05) Python scripts required to reconstruct the full dataset from raw data This allows: inspection of dataset structure verification of processing steps full independent reproducibility The complete dataset can therefore be regenerated using: the provided scripts publicly available JPL Horizons data