Source data and reproducibility code for "Defended prey cores redirect predator movement: repulsive prey-taxis, local regime selection, and observable dynamics"

This archive contains the source data, reproducibility scripts, numerical check files, and documentation supporting the manuscript entitled “Defended prey cores redirect predator movement: repulsive prey-taxis, local regime selection, and observable dynamics”. The package accompanies a delayed predator–prey reaction–diffusion model with group-defense-mediated repulsive prey-taxis. It provides the computational materials used to reproduce the local Turing–Hopf benchmark, cubic coefficient checks, projected Galerkin-DDE branch-label checks, Euler/RK4 solver comparison, modal-resolution robustness checks, and normalized observable-signature summaries. The archive includes: source data tables for the benchmark parameters, cubic coefficients, branch-selection diagnostics, observable signatures, and robustness checks; Python scripts for reproducing the coefficient and projected-DDE checks; a reproducibility check script, run_reproducibility_check.py; README and manifest files describing the v2.1 archive structure; locked numerical data carried forward from the validated numerical-data layer, with version provenance explained in the manifest. The numerical files are intended to support local branch-label and observable-signature reproducibility. They are not a certified convergence proof for the full delayed PDE, a global attractor computation, or a far-from-threshold pattern-selection atlas. Recommended use: unzip the archive, install the dependencies listed in requirements.txt, and run: python run_reproducibility_check.py The script verifies the core reproducibility checks reported in the manuscript.