ABSOLUTE SOVEREIGN SECURITY ARCHITECTURE (ASSA-Σ∞) A Constitution-Bound Meta-Sovereign Framework for Civilization-Grade State Continuity and Lawful Security Execution (Comprising: Absolute Sovereign Security Framework — ASS-Σ∞, and Sovereign Sentinel Prime — SSP-Ω)

ASSA-Σ∞ Scientific Infrastructure Dataset Version 2.0.0 Scientific Dataset for AI Governance, Sovereign Analytics, Institutional Intelligence, Resilience Assessment, and Multi-Domain Evidence Integration Authors Bidyut MazumdarIndependent Research ScholarFounder, FAIR+D Canon™ ORCID: https://orcid.org/0009-0007-5615-3558 Abstract The ASSA-Σ∞ Scientific Infrastructure Dataset (Version 2.0.0) is a publication-ready, rigorously curated multi-domain scientific dataset developed to support reproducible computational research in artificial intelligence governance, institutional performance assessment, sovereign resilience, legal systems analysis, cybersecurity, public policy evaluation, and evidence-based decision intelligence. The dataset integrates heterogeneous information originating from internationally recognized governmental, academic, institutional, and research organizations into a harmonized country-centric analytical framework. Its preparation incorporates standardized provenance documentation, metadata harmonization, schema validation, country normalization, duplicate resolution, integrity verification, feature auditing, and publication-readiness assessment. Version 2.0.0 represents a fully validated scientific release prepared under the FAIR+D Canon™ methodology, emphasizing transparency, interoperability, reproducibility, computational traceability, documented provenance, and long-term research sustainability. The resulting data infrastructure is intended to facilitate interdisciplinary computational research, comparative governance analysis, institutional benchmarking, sovereign resilience assessment, explainable artificial intelligence, policy intelligence, and evidence-based decision support. Research Scope The dataset supports research across multiple scientific domains, including: Artificial Intelligence Governance Sovereign Decision Intelligence Institutional Performance Assessment Rule of Law Analytics Democratic Governance Research Public Administration Analytics National Capability Assessment Sovereign Resilience Modeling Cybersecurity Governance Comparative Institutional Research Policy Intelligence Strategic Decision Support Government Performance Evaluation Multi-source Scientific Data Integration Explainable Artificial Intelligence (XAI) Machine Learning Benchmark Development Computational Social Science Digital Statecraft Research Cross-domain Data Analytics Evidence-based Public Policy Version 2 Scientific Enhancements Version 2 introduces a comprehensive scientific preprocessing, validation, and publication workflow comprising: Dataset provenance auditing Membership verification Dataset inventory generation Duplicate detection and resolution Dataset role classification Research dataset identification Dependency mapping Merge feasibility assessment Country coverage auditing Country normalization Harmonized country registry construction ISO-3166 compatibility verification Schema compatibility assessment Feature completeness analysis Low-coverage feature auditing Scientific feature selection Master dataset construction Publication-readiness assessment Release integrity verification SHA-256 checksum generation Release manifest generation Scientific release packaging Scientific Processing Pipeline The Version 2 release follows a deterministic and fully documented computational workflow: Dataset Inventory Metadata Collection Provenance Validation Membership Verification Duplicate Resolution Dataset Classification Country Registry Construction Country Harmonization Schema Compatibility Assessment Multi-source Dataset Integration Data Quality Validation Feature Coverage Analysis Feature Selection Statistical Quality Assessment Publication Readiness Assessment Release Manifest Generation Integrity Verification Scientific Release Packaging Each processing stage generates traceable intermediate outputs, supporting transparency, reproducibility, and independent verification. Dataset Statistics Metric Value Research datasets integrated 16 Countries and territories represented 274 Scientific features 4,875 Duplicate country records 0 Missing country identifiers 0 Blank country labels 0 Overall data completeness 54.61% Publication Readiness Status Passed Validation Scientific Quality Assurance Comprehensive validation procedures were completed before publication, including: Dataset provenance verification Metadata consistency assessment Country normalization auditing Harmonized country registry validation Alias conflict detection ISO-3166 compatibility assessment Duplicate elimination Schema consistency verification Feature completeness analysis Feature coverage assessment Merge integrity verification Publication-readiness assessment Release artifact verification SHA-256 integrity verification All release artifacts successfully completed the documented validation workflow prior to publication. Integrated Data Sources The analytical framework incorporates information derived from internationally recognized organizations and research initiatives, including: V-Dem Institute World Justice Project International Monetary Fund (IMF) Notre Dame Global Adaptation Initiative (ND-GAIN) University of Oxford World Intellectual Property Organization (WIPO) The release also includes internally generated harmonized analytical datasets developed within the ASSA-Σ∞ Scientific Infrastructure framework. Original source datasets remain subject to their respective licenses, attribution requirements, update policies, and citation requirements. Users should consult the original providers for authoritative documentation and licensing terms. Release Contents The Version 2 release package includes: ASSA_V2_FINAL_SCIENTIFIC_DATASET.csv ASSA_V2_FEATURE_SELECTION_SUMMARY.csv ASSA_V2_PUBLICATION_READINESS.csv ASSA_V2_MASTER_QUALITY_AUDIT.csv ASSA_V2_COLUMN_COMPLETENESS.csv ASSA_V2_FEATURE_COVERAGE.csv ASSA_V2_LOW_COVERAGE_AUDIT.csv ASSA_COUNTRY_NORMALIZATION_MAPPING.csv ASSA_COUNTRY_COLLAPSE_AUDIT.csv ASSA_V2_MERGE_LOG.csv ASSA_V2_RELEASE_MANIFEST.csv SHA-256 verification records Documentation and supporting metadata Release certification records Build provenance documentation Integrity manifests Reproducibility The release has been prepared to facilitate reproducible computational research through: Deterministic preprocessing workflows Complete provenance documentation Transparent harmonization procedures Standardized merge methodology Country normalization procedures Dataset validation reports Machine-readable metadata Version-controlled release artifacts Build provenance documentation Integrity manifests SHA-256 checksum verification Release manifests Computational traceability Potential Applications The dataset is intended to support: Academic Research Government Analytics Public Policy Laboratories AI Governance Research Institutional Benchmarking Comparative Governance Studies Sovereign Risk Assessment Machine Learning Research Explainable Artificial Intelligence Decision Intelligence Systems Computational Social Science Digital Governance Research Public Administration Research Scientific Benchmark Development Cross-disciplinary Data Science Evidence-based Policy Evaluation FAIR+D Canon™ Methodology This release has been prepared following the FAIR+D Canon™ methodology, emphasizing: Findability Accessibility Interoperability Reusability Data Integrity Provenance Transparency Scientific Reproducibility Computational Traceability Long-term Research Sustainability The methodology promotes standardized metadata, documented provenance, deterministic computational workflows, structured validation procedures, and verifiable release artifacts to improve the long-term usability, transparency, and reproducibility of scientific datasets. Citation If this dataset contributes to academic publications, software, derivative datasets, technical reports, policy analyses, or related scholarly work, please cite the corresponding Zenodo Version DOI or the Concept DOI representing all published versions. Version Information Dataset: ASSA-Σ∞ Scientific Infrastructure Dataset Version: 2.0.0 Resource Type: Dataset Release Status: Version 2 Scientific Release Concept DOI: 10.5281/zenodo.18415485 Version DOI: 10.5281/zenodo.21265801 Primary Language: English License: Refer to the license specified in the Zenodo record. Maintainer: Bidyut Mazumdar ORCID: https://orcid.org/0009-0007-5615-3558 ASSA-Σ∞ Scientific Infrastructure Dataset (Version 2.0.0) provides a transparent, traceable, and reproducible scientific data infrastructure for interdisciplinary computational research. The release combines standardized metadata, documented provenance, deterministic processing workflows, validated quality assurance procedures, and verifiable integrity records to facilitate evidence-based research, comparative analysis, institutional assessment, AI governance research, sovereign resilience studies, and long-term scientific reuse across diverse computational and policy-oriented research domains.