Ancient Egyptian Architecture Online (AEGARON) provides vetted and standardized architectural drawings of a selection of ancient Egyptian buildings. These represent architecture from modest workmen's houses to temple complexes, dating from the Old Kingdom through Late Antiquity. This archive also contains a Visual Glossary, a collection of Egyptian architectural terms in English, German and Arabic, illustrated with photographs and drawings mostly derived from the AEGARON building corpus. The terminology is divided in eight categories (from “Architectural Elements” to “Technical Terms”). Terms can belong to more than one category, and have synonyms, narrower and broader terms defined. Where possible, the AEGARON terms have been linked to the Getty Thesaurus of Art & Architecture.

AEGARON is a cooperation between the German Archaeological Institute in Cairo (DAIK) and the University of California, Los Angeles (UCLA) and is made possible by a combined grant from the Deutsche Forschungsgemeinschaft (DFG) and the Endowment for the Humanities (NEH). The American-Egyptian-German AEGARON-Team consists of Architects, Archaeologists, Building Archaeologists, Designers, Programmers, Librarians & more.

An updated interactive AEGARON web resource is currently under development and will be available in the future.

View the AEGARON Guides and Information resource for additional information on using these files.

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Dec 13, 2022 - Qau el-Kebir
Adobe PDF - 103.6 KB - MD5: 560a3803fa9272faf5effbf75b556d31
Dec 13, 2022
AEGARON, 2022, "Qurna", https://doi.org/10.25346/S6/VIDNKU, UCLA Dataverse, V1
Plans and section drawings from the Temple of Sety I, Magazines, TT 55, and TT 100.
Dec 13, 2022 - Qurna
application/dwg - 3.1 MB - MD5: 825bd8a7ff7c45b3fbbae1e6afbd7bd8
Dec 13, 2022 - Qurna
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Dec 13, 2022 - Qurna
Adobe PDF - 174.6 KB - MD5: 0dd79ca4b0daf3aaf1e614938ea4c509
Dec 13, 2022 - Qurna
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Dec 13, 2022 - Qurna
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Dec 13, 2022 - Qurna
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Dec 13, 2022 - Qurna
Adobe PDF - 116.7 KB - MD5: 28bd0365e958ebcdee41f4802dd609c6
Dec 13, 2022 - Qurna
Adobe PDF - 324.7 KB - MD5: 3ec3bb84f42eedcc7280863f95416010
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