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            Interdisziplinäre Dokumentations- und Visualisierungsmethoden

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            https://library.oapen.org/bitstream/20.500.12657/33850/1/453483.pdf
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            https://library.oapen.org/bitstream/20.500.12657/33850/1/453483.pdf
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            https://library.oapen.org/bitstream/20.500.12657/33850/1/453483.pdf
            Author(s)
            Trinkl, Elisabeth
            Collection
            Austrian Science Fund (FWF)
            Language
            English; German
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            Abstract
            This publication focuses on (natural) scientific methods in studying and analyzing ancient pottery and discusses several case studies of the application on ancient vases stored in the Kunsthistorisches Museum Wien, Universalmuseum Joanneum Graz, and Collection of the Karl-Franzens-Universität Graz. So called non-invasive methods (without sampling) are favored, e. g. using high-resolution computer tomography, X-ray fluorescence analysis.
             
            Die Publikation stellt neue Methoden zur Erforschung antiker Keramik vor und beschreibt deren Einsatz anhand ausgewählter Vasen aus folgenden Museen: Kunsthistorisches Museum Wien, Universalmuseum Joanneum Graz, Sammlung der Karl-Franzens-Universität Graz. Dabei wird besonderer Wert auf die Anwendung und Entwicklung sog. zerstörungsfreier Methoden gelegt, z. B. Computertomographie, Röntgenfluoreszenz.
             
            URI
            https://directory.doabooks.org/handle/20.500.12854/37665
            Keywords
            Pottery, ceramics, scientific diagnosis, Greek; Keramik, naturwissenschafltiche Methoden, griechisch
            DOI
            10.26530/oapen_453483
            Publisher
            Verlag der Österreichischen Akademie der Wissenschaften
            Publisher website
            http://verlag.oeaw.ac.at/
            Publication date and place
            2013
            Grantor
            • Austrian Science Fund
            Classification
            Archaeology
            Pages
            216
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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