Bicameral Solar Engine — Master Validation Scorecard

Read full text
Authors: Nicholas Khan
Cited by: 0

Abstract

This dataset is part of the Bicameral Solar Engine project, a multi-scalar deterministic framework that maps the relationship between solar harmonic cycles and terrestrial systems including climate, economics, and biological populations. All datasets share a common methodology: raw signals are detrended using an 11-year centered moving average, normalized into Z-scores. Master validation scorecard aggregating results from eight independent proxy datasets across 172 years (1841–2013). Reports T(t) phase alignment, modulation sequence conformance, and transition alignment for solar, atmospheric, biological, thermal, and economic receptors. Combined boundary phase-lock conformance: 92.0% across 88 predicted boundaries. p < 10⁻¹⁵ against random baseline. This dataset and associated work are licensed under CC BY-NC-ND 4.0. The material may be shared with proper attribution but may not be modified, adapted, or used for commercial purposes. If you intend to use this dataset in research, analysis, or publication, you are expected to cite the original source and are strongly encouraged to contact the author prior to use. Contact:: nkhanworkbox@gmail.com | ORCID: https://orcid.org/0009-0003-0093-521X

Fields of Study & Subjects

Climate variability and models Geology and Paleoclimatology Research Solar and Space Plasma Dynamics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 March 2026
Language
EN
Document type
Dataset