遇见数据集

Universal Constitutional Participation and the Physical Meaning of Measurement — Empirical Reproducibility Archive

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Zenodo2026-11-02 更新2026-11-05 收录
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This scientific research archive provides the reproducibility materials accompanying Antonius F. De Kok, Universal Constitutional Participation and the Physical Meaning of Measurement (2026), DOI 10.5281/zenodo.23895773. The research investigates the empirical consequences of the Universal Laws of Connection and Contrast for physical measurements, constitutional participation, experimental context, and the identification of physical properties from recorded observations. The archive contains: Executable Python verification programs for constitutional admissibility, exact and stochastic identification, double-slit path–marker models, and whole-state reconstruction. Original published superconducting photon-detector datasets, including arrival-time histograms, photon-number-resolving detector events, and eight-bin time-multiplexed detector records. Reproducible numerical analyses of quantum-processor measurements, gravitational-clock comparisons, photon-detection behavior, and experimentally reported physical conditions. Mathematical model results, experimental-data transcriptions, source attribution, verification outputs, and SHA-256 integrity manifests. The materials distinguish original experimental datasets, source-reported measurements, derived numerical analyses, and constructed mathematical models. The verification programs reproduce specified mathematical and numerical results; they do not represent model-generated data as independent laboratory observations. The included photon datasets retain attribution to their original researchers and repositories. Source provenance, methodological details, data coverage, and licensing are documented within the archive. Licensing Original scientific documentation and authored analysis tables: Creative Commons Attribution 4.0 International (CC BY 4.0). Original Python verification programs: MIT License. Included third-party experimental datasets: CC BY 4.0 under their original creators' licenses and attribution requirements. Related publications Companion scientific paper: https://doi.org/10.5281/zenodo.23895773 Foundational laws: https://doi.org/10.5281/zenodo.23820136 Foundational scientific archive: https://doi.org/10.5281/zenodo.23820145

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2026-11-02
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