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Data from: Immersive Visualization and Curation of Archaeological Heritage Data: Çatalhöyük and the Dig@IT App

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Data from: Immersive Visualization and Curation of Archaeological Heritage Data: Çatalhöyük and the Dig@IT App

About this collection

Extent

46 digital objects.

Cite This Work

Lercari, Nicola; Shiferaw, Emmanuel; Forte, Maurizio; Kopper, Regis (2017). Data from: Immersive Visualization and Curation of Archaeological Heritage Data: Çatalhöyük and the Dig@IT App. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0CN71VP

Description

This collection includes the 3D archaeological record of Çatalhöyük Building 89 as it was digitally documented in 3D by means of structure from motion techniques. Çatalhöyük is a large and well-preserved Neolithic and Chalcolithic mound, or tell, located in the Konya plain, near the town of Çumra in Southern Anatolia, Turkey. The site is known for its elaborate art and symbolism, which have allowed researchers to better understand the social and symbolic processes underpinning early village formation, agricultural intensification, and religious ritual in Anatolia.

The purpose of this collection is to curate online all the 3D models and related metadata representing the three-dimensional stratigraphy of Building 89 as they are disseminated through the open source virtual reality application Dig@IT. This application is a multi-platform virtual reality software developed at Duke University during 2014-2016, which fosters archaeological data analysis, interpretation, and curation in a realistic and highly-interactive immersive virtual environment.

Between 2009 and 2015, scholars from the University of California Merced, Duke University, and Lund University excavated and documented Building 89 within the 3D Digging Project initiative. Dig@IT app.

Creation Date
  • 2011 to 2015
Date Issued
  • 2017
Authors
Contributors
Funding

University of California Office of the President's Research Catalyst Award for "At-Risk Cultural Heritage and the Digital Humanities".
Grant ID: CA-16-376911. PI: Thomas E. Levy (UCSD). Co-PI: Nicola Lercari (UC Merced).

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