------------------------------------------------------------------------------------------------------------- This file was generated on 2026-03-05 by Adriana Günzel DOI: https://doi.org/10.60507/FK2/NPTEYZ A GENERAL INFORMATION 1. Title of the dataset: Attic Black-Figure Lekthos in the Academic Art Museum Bonn (Inv. Nr. 2670) 2. Brief description of the research project and its aims: 3. Author Information A. Investigator Contact Information Name: Günzel, Adriana Institution: Institut für Archäologie und Kulturanthropologie, Abteilung Klassische Archäologie, Universität Bonn Address: Römerstraße 164, 53111 Bonn Email: aguenzel@uni-bonn.de 4. Date of data Collection: 2022-06-25 5. Information about funding sources that supported the collection of the data: Universität Bonn 6. Language of the dataset: English 7. Geographic location of data collection: Bonn, Akademisches Kunstmuseum 8. Bibliography : Norskov, V. et al. (eds.), The World of Greek Vases (Rome, 2009): 121, FIG.6 (BD) 9. Beazley-Archive: Vase Number: 9023389, https://www.beazley.ox.ac.uk/record/94FFAE0E-9FF9-429A-BF93-9F921BE9FB39 10. Painter 11. Potter B DATA & FILE OVERVIEW 1. File List: Lekythos_2670 Lekythos_2670_images (images used for reconstruction, distances) Lekythos_2670_model Lekythos_2670_highpoly (contains highpolygon model and diffuse map) Lekythos_2670_gameready (contains gameready model, diffuse map, ambient occlusion map, normal map, metallness map, roughness map) 2. Are there multiple versions of the dataset? no C SHARING/ACCESS INFORMATION 1. Was data derived from another source? no 2. Licenses/restrictions placed on the data: no D METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: Model was generated with photogrammetry (RealityCapture) Cleaning was done in Blender Texture Baking was done in Substance Designer and Painter 2. Methods for processing the data: Can be opend in any 3D-software package 4. People involved in sample collection, Pressing, analysis and/or submission: Liza-Marie Peters, Adriana Günzel, Philippe Pathé Previewers originally developed by QDR and maintained at https://github.com/GlobalDataverseCommunityConsortium/dataverse-previewers. Feedback and contributions welcome.