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http://eprints.org/relation/isVersionOf https://researchdata.gla.ac.uk/id/document/8084 http://eprints.org/relation/isVolatileVersionOf https://researchdata.gla.ac.uk/id/document/8084 http://eprints.org/relation/isIndexCodesVersionOf https://researchdata.gla.ac.uk/id/document/8084 archive 6975 disk0/00/00/24/00 2026-08-31 07:19:45 2026-09-03 13:51:58 2026-08-31 07:19:45 data_collection show Knaj Raneem 84613 0009-0009-6458-9604 Le Kernec Julien 35927 0000-0003-2124-6803 glaresearchdata:2026-08-11-2400 30300000 depression, facial action units, Big Five personality, affective computing, Arabic-speaking populations This work was funded by the Council for At-Risk Academics (CARA). Some of the data files associated with this record are not available for reuse due to ethical constraints. Pseudonymised, analysis-ready participant-level dataset underpinning the study "Big Five Personality Traits as Moderators of Depression-Facial Action Unit Relationships in Naturalistic Free-Speech Video". It covers 103 Arabic-speaking university students (aged 18-25) recruited at Tartous University, Syria. Each participant recorded an approximately one-minute free-speech video on a self-selected topic and completed the PHQ-9 depression screening questionnaire and the Arabic short form of the Big Five Inventory-2 (BFI-2-XS). The deposit comprises: (i) mean facial action unit (AU) intensities for 20 AUs extracted from the video recordings using the py-feat toolbox, together with three derived composite measures (Depressive Facial Index, Positive Affect Suppression, Facial Expressivity Variability); (ii) PHQ-9 total scores; (iii) Big Five domain scores; (iv) age band and sex/gender; (v) valid frame counts per recording; (vi) a data dictionary and README describing all variables, processing steps and access conditions; and (vii) non-disclosive aggregate outputs supporting verification of the analyses reported in the associated manuscript. The original facial video and audio recordings are NOT included in this deposit and will not be shared in any form. Data files are provided in CSV format (UTF-8). This dataset is related to, but distinct from, the ROSE acoustic-feature record (https://doi.org/10.5525/gla.researchdata.2332). The participant-level FVPD file is proposed as a separate deposit for RDM assessment under its own consent documentation. Neither raw video nor raw audio is included. 2026-08-11 University of Glasgow 10.5525/gla.researchdata.2400 Spreadsheet Text University of Glasgow TRUE ENG; ARA 2025-06-25 2025-08-13 2025-06-25 2025-08-13 https://doi.org/10.5525/gla.researchdata.2332 data https://doi.org/10.5281/zenodo.22121607 code D-con Data must be deleted after 10 years due to terms of participant consent. file_transfer TRUE 1114, dated 4 May 2025 (University Registry ref. 2178/w.r, 4 May 2025; originating Faculty protocol submission ref. 576/s, 27 April 2025). other Tartous University Presidency, following the institutional research-authorisation process administered through the Directorate of Scientific Research and Postgraduate Studies, Tartous University, Syrian Arab Republic. Note for the RDM team: Tartous University does not operate a standing research ethics committee. Under its applicable local procedure, detailed study documentation was submitted by the Faculty of Information and Communication Technology Engineering through the Directorate of Scientific Research and Postgraduate Studies, and final institutional authorisation was issued by the University Presidency under Letter No. 1114. The underlying documentation is retained in the University's official records. The original Arabic letter and an English translation are supplied separately for RDM review. FALSE