------------------------------------------------------------------------------------------------------------- This file was generated on 2024-10-29 by Adriana Günzel DOI: https://doi.org/10.60507/FK2/B7I4PK A GENERAL INFORMATION 1. Title of the dataset: Corinthian Oinochoe in the Academic Art Museum Bonn (Inv. Nr. 2662) 2. Brief description of the research project and its aims: The oinochoe, dated between 625 and 600 BC, was produced in Corinth, which was the leader in the current pottery production and its products were exported throughout the Mediterranean region. Its findspot is not known. The vessel is a jug with a trefoil-shaped rim and a sometimes up-lifted strap handle, that connects the rim and shoulder. The Bonn example is painted in black-figure technique, which was also invented in Corinth. Most of the vessel is painted black and decorated with covering paint and carvings. The shoulder shows a scale pattern and underneath there is a circumferential frieze with deer, lion, bull, bird and sphinx. 3. Author Information A. Investigator Contact Information Name: Lang, Matthias Institution: BCDH, Universität Bonn Address: Maximilianstr. 22, 53111 Bonn Email: Matthias.Lang@uni-bonn.de 4. Date of data Collection: 2023-02-10 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 : M. Bentz ‒ W. Geominy ‒ J. M. Müller (Hrsg.), TonArt. Virtuosität antiker Topfertechnik. Ausstellungskatalog (Petersberg 2010) Kat. 9. B DATA & FILE OVERVIEW 1. File List: Oinochoe_2662 Oinochoe_2662_images (images used for reconstruction, distances) Oinochoe_2662_model Oinochoe_2662_highpoly (contains high-polygon model and base color texture) Oinochoe_2662_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, processing, 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.