-------------------------------------------------------------------------------------------------------------

This file was generated on 2024-10-31 by NAME Adriana Günzel

DOI:  https://doi.org/10.60507/FK2/SILFA9

A GENERAL INFORMATION



1. Title of the dataset: Etruscan Bucchero Olla in the Academic Art Museum Bonn (Inv. Nr. 652)

2. Brief description of the research project and its aims: 
The olla, dated between 675 and 600 BC, is made of Impasto and was found together with drinking vessels, an amphora and an urn in a deposit in Sarteano, which is close to Chuisi. The vessel has a very flat base and widely protruding body and a drawn-in short rim. It is not decorated. The shape of the olla was used in different variants over a long period of time. 

3. Author Information
	A. Investigator Contact Information
		Name: Günzel, Adriana 
		Institution: Institut für Archäologie und Kulturanthropologie, Universität Bonn
		Address: Römerstraße 164, 53115 Bonn
		Email: aguenzel@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, Rasna. Die Etrusker. Ausstellungskatalog Bonn (Petersberg 2008) Kat. 219.


B DATA & FILE OVERVIEW

1. File List: 
	
Olla_652
	Olla_652_images (images used for reconstruction, distances)
	Olla_652_model
		Olla_652_highpoly (contains high-polygon model and base color texture)
		Olla_652_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, Matthias Lang, Philippe Pathé








Previewers originally developed by QDR and maintained at https://github.com/GlobalDataverseCommunityConsortium/dataverse-previewers. Feedback and contributions welcome.