De-identified data and reproducibility package for "Cue-Based Authenticity Judgments under Limited Verifiability: A Two-Study Test in Historic Automotive Events"

This Zenodo record contains the de-identified data and full reproducibility package for the manuscript “Cue-Based Authenticity Judgments under Limited Verifiability: A Two-Study Test in Historic Automotive Events”. It supports auditing and rerunning the analyses reported in two studies: Study 1, a 2024 multi-event field survey of historic automotive-event attendees (final analytic sample N = 520), and Study 2, a 2025 online brochure-style vignette experiment (final analytic sample N = 640). The archive includes the analysis-ready datasets used in the article; additional de-identified source and audit-trail files documenting recruitment, exclusions, sample derivation, and robustness checks; machine-readable outputs in the outputs folder, including coefficient files, display workbooks, and the consolidated workbooks RESULTS_CANONICAL.xlsx and Robustness_Tables.xlsx; retained seed assets needed to rebuild selected tables; and supporting documentation and study materials, including the package README, data dictionary, anonymization note, questionnaires/stimuli, codebooks, fieldwork documentation, recruitment/exclusion files, and survey-flow metadata. All participant-level files shared here are de-identified. Direct identifiers, platform linkage keys, exact timestamps not required for reproduction, and device/network trace metadata were removed before sharing. File-level variable definitions are provided in data_dictionary.xlsx, and de-identification decisions are documented in ANONYMIZATION_NOTE.md. README.md document the run order and map manuscript tables to their source data, scripts, and outputs. This record accompanies the associated manuscript and provides a citable public DOI for the underlying de-identified data, outputs, and supporting materials.