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Plain Text - 134 B - MD5: deb636da0fc54baeccfc10ae0b2e69ed
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Documentation
Oct 9, 2018 - Cluster of Excellence - Asia and Europe in a Global Context
Sablin, Ivan; Kuchinskiy, Aleksandr; Korobeinikov, Aleksandr; Mikhaylov, Sergey; Kudinov, Oleg; Kitaeva, Yana; Aleksandrov, Pavel; Zimina, Maria; Zhidkov, Gleb, 2015, "Transcultural Empire: Geographic Information System of the 1897 and 1926 General Censuses in the Russian Empire and Soviet Union", https://doi.org/10.11588/data/10064, heiDATA, V3
The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is informatio...
Jan 18, 2017 - Cluster of Excellence - Asia and Europe in a Global Context
Ettmueller, Eliane Ursula; Arnold, Matthias; Alisch, Johannes; Sassani, Nina; Kempf, Florian; Harder, Hans, 2017, "The Abou Naddara Collection - James Sanua's complete works", https://doi.org/10.11588/data/10076, heiDATA, V1
Access to James Sanua's journal publications and his extensive oeuvre has hitherto been difficult. Threfore, the journalistic and artistic material of the Paris-exiled egyptian nationalist has hardly received the degree of scholarly attention it actually deserves. Nevertheless, d...
Feb 22, 2017 - Cluster of Excellence - Asia and Europe in a Global Context
Raun, Karl H.; Paterson, Duncan, 2017, "Systematic Literature Review on Automated Monument Detection", https://doi.org/10.11588/data/10083, heiDATA, V2
This study measures the state of automated procedures within cultural heritage detection and management by correlating key terms for LiDAR data by citations. To reveal the evolution of the field, we conduct a Systematic Literature Review (SLR) using standardized search structures...
Plain Text - 1.9 MB - MD5: 4bd2df0075be09b2216d4af131a9ae72
Networks
Plain Text - 79.3 KB - MD5: 09a21c948145b2a27d00e43cd1d2bb5d
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Plain Text - 1.8 MB - MD5: 7685e866e0ae6be31dbdb4d7b4ebd55d
Networks
Unknown - 527.5 KB - MD5: fca2de869f876242ba35b5310704de70
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