Data & Repro Pack (REALDATA; v1.2.1): a brane‑world two‑link test (λ → {f_br, ΔN_eff})

Zenodo v1.2.1 — Data & Repro Pack (REALDATA; evidence panel + λ–ΔN_eff scatter + LISA strip)--------------------------------------------------------------------------------------------This pack contains all core, reproducible artifacts for“The Maldonado two‑link test (λ → {f_br, ΔN_eff})” — a single early‑universe parameter controlling(i) the break frequency f_br in the SGWB and (ii) a small early‑radiation excess ΔN_eff. Key invariants: • f_br(λ) ∝ λ^(1/4) • C/ρ_γ0 = (7/8)*(4/11)^(4/3)*ΔN_eff What’s new in this v1.2.1 drop • Evidence panel: ΔAIC/ΔBIC bars + a clearly labeled BIC→Bayes approximation panel. • LISA forecast strip: a vertical band at f_br (median ± 1σ) over a wide frequency axis. • λ_phys – ΔN_eff scatter (single-plot quick-look) in Corner_LambdaPhys_DNeff_20250817.pdf. • Harmonized BestFit JSON with calibrated f_br ↔ T_x ↔ λ_phys mapping. Files in this pack (core selection): • PRD_Letter_FINAL_20250819.pdf • TwoPager_FINAL_20250819.pdf • Handout_PRD_OnePage_FINAL_20250819.pdf • Handout_TwoPager_OnePage_FINAL_20250819.pdf • Slide_Maldonado_TwoLink_Summary_20250819.pdf • Evidence_Summary_20250819.csv, Evidence_Summary_20250819.txt • Evidence_BarChart_20250819.png • BBN_Safety_Speedup_20250819.png • PTA_Overlay_fbr_20250819.png (and/or PTA_Overlay_CORRECTED_20250819.png if present) • LISA_Overlay_fbr_20250819.png (and/or LISA_Overlay_CORRECTED_20250819.png if present) • LISA_ForecastStrip_20250817.png • Corner_LambdaPhys_DNeff_20250817.pdf • BestFit_JOINT_REALDATA_20250819.json • TwoLink_Summary_20250819.md • Holographic_Dictionary_Maldonado_Link_20250819.md • Criteria_Checklist_Update_20250819.md • maldonado_two_link_repro_v1.py Reproduction 1) Read f_br, λ_phys, and ΔN_eff from BestFit_JOINT_REALDATA_20250819.json to regenerate the summary figures. 2) Use maldonado_two_link_repro_v1.py to rebuild the Evidence panels and overlays from the CSV/TXT in this pack. 3) For PTA/LISA context, overlay your preferred sensitivity curves (if you have ESA-style CSV), or use the provided quick-look PNGs. Licensing • Data & figures: CC BY 4.0 recommended for the record. • Code: MIT or Apache 2.0 recommended (license header included inside the script if you choose). Citation Please cite the Zenodo DOI for this version and the concept DOI for the whole series. Contact Ricardo Maldonado — Independent Researcher — [e-mail]