------------------------------------------------------------------------------------------------------------- This file was generated on 2024-11-09 by Adriana Günzel DOI: https://doi.org/10.60507/FK2/IZTEMT A GENERAL INFORMATION 1. Title of the dataset: East Greek Oinochoe in the Academic Art Museum Bonn (Inv. Nr. 2753) 2. Brief description of the research project and its aims: The jug, dated between 570 and 530 BC, was in the surroundings of Miletus in Western Asia Minor, where it was also produced. The jug has a trefoil-shaped rim which is connected via an up-lifted handle with the body of the vessel. The neck an lower body of the vessel show geometric patterns like a meander and parallel strokes. The middle part of the body shows a circumferential frieze with a dog, a rabbit and a bird. The jug was produced in a workshop in eastern Greece. 3. Author Information A. Investigator Contact Information Name: Günzel, Adriana Institution: Insitut für Archäologie und Kulturanthropologie, Abteilung Klassische Archäologie, Universität Bonn Address: Römerstraße 164, 53111 Bonn Email: aguenzel@uni-bonn.de 4. Date of data Collection: 2022-06-22 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 : H. Mielsch, Das Akademische Kunstmuseum. Antikensammlung der Universität Bonn (Petersberg 2003) 56 Taf. 15. B DATA & FILE OVERVIEW 1. File List: Oinochoe_2753 Oinochoe_2753_images (images used for reconstruction, distances) Oinochoe_2753_model Oinochoe_2753_highpoly (contains high-polygon model and base color texture) Oinochoe_2753_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 (Agisoft Metashape) 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, Matthias Lang, Philippe Pathé Previewers originally developed by QDR and maintained at https://github.com/GlobalDataverseCommunityConsortium/dataverse-previewers. Feedback and contributions welcome.