Addiction Nexus: Multidimensional Dataset on Behavioral, Neurophysiological, and Socioeconomic Determinants of Addiction

This dataset constitutes a core component of the AddictionNexus initiative, which undertakes a comprehensive multidimensional exploration of the behavioral, neurophysiological, and socioeconomic determinants underpinning addiction. Architected according to a snowflake schema and semantically enriched in RDF format via the QB4OLAP vocabulary, the dataset encompasses synthetic records for 3,000 individuals. It meticulously captures a spectrum of critical variables, including demographic profiles, lifestyle indicators, addiction statuses, and temporal-spatial dimensions. Designed to facilitate hierarchical and multidimensional OLAP analyses, this resource empowers advanced investigations into addiction patterns and supports the elucidation of complex causal relationships across social, behavioral, and physiological domains. Its compatibility with semantic technologies and knowledge graph frameworks renders it invaluable for public health informatics and behavioral science research. The dataset is developed adhering rigorously to the FAIR data principles, thereby ensuring optimal Findability, Accessibility, Interoperability, and Reusability. Detailed provenance information, original data sources, and methodological underpinnings are comprehensively documented within the accompanying research publication:[Addiction Nexus: A Multidimensional Cartography of Behavioral, Neurophysiological, and Socioeconomic Determinants of Dependency Using OLAP and Knowledge Graphs]