------------------------------------------------------------------------------------------------------------- This file was generated on 2025-02-05 by NAME Adriana Günzel DOI: https://doi.org/10.60507/FK2/DMXROO A GENERAL INFORMATION 1. Title of the dataset: Plaster cast of an Etruscan ash urn in the Academic Art Museum Bonn (Inv. Nr. 1178) 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, 53115 Bonn Email: aguenzel@uni-bonn.de 4. Date of data Collection: 2024-05-08 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 : N. Himmelmann - U. Sinn (Hrsg.), Verzeichnis der Abguß-Sammlung des Akademischen Kunstmuseums der Universität Bonn (Berlin 1981) B DATA & FILE OVERVIEW 1. File List: Ash_urn_1178 Ash_urn_1178_model Ash_urn_1178_high_poly (contains high-polygon model) Ash_urn_1178_low_poly (contains low-polygon model, base color texture, normal map, ambient occulsion 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 laser scanning (Artec Studio) Cleaning was done in Blender Texture Baking was done in Substance Designer Texture was generated with Substance 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 Kluge Previewers originally developed by QDR and maintained at https://github.com/GlobalDataverseCommunityConsortium/dataverse-previewers. Feedback and contributions welcome.