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Unknown - 257.1 MB - MD5: e22b7dab9f03239e7fb026f75ce02862
Video
Kabisch, V., Saoub, E. & Wolter, A. (20.10.2014). Das geplünderte Erbe: Terrorfinanzierung durch deutsche Auktionshäuser. NDR, 20.10.2014. Video, 43:29 min. - Teil 2
Unknown - 840.8 MB - MD5: 9602dac44aa4c94e7c8b2d0dd329d35a
zzz Internal (Long Term Preservation)
This file is only for internal use
Adobe PDF - 47.5 KB - MD5: 1faa3e725ff4d9633ac247701b4050c7
Dokumentation
Unknown - 25.1 MB - MD5: 0374905ecc708cd4b615fc01c6ff07a0
Audio
Saoub, E. (19.12.2014). Syriens verlorene Schätze: Antikenraub in einem terrorisierten Land. SWR2 Wissen, 19.12.2014. Audio, 27:26 min.
Unknown - 169.9 MB - MD5: 3fc9fcd78fd6c22a187ee5373999bad6
Video
Saoub, E. (20.10.2014). Das geplünderte Erbe. ARD Tagesschau, Reihe ‚Die Story im Ersten‘, 20.10.2014. Video, 6:57 min.
Dec 17, 2015 - Universitätsbibliothek Heidelberg
Antretter, Marlene; Eller, Dirk; Elstermann, Hannes; Geissler, Stefan; Grüning, Simon; Horn, Sebastian; Kohler, Matthias; Kuck, Kevin; Lingnau, Anna; Nozik, Alexandra; Odenwald, Jakob; Rieger, Felix; Schubert, Christopher; Wenze, Felix; Zimmermann, Karin, 2015, "Georeferencing of the "Lorscher Codex"", https://doi.org/10.11588/data/10063, heiDATA, V1
Collection of historic place names from the Lorscher Codex (1176-1200). Most of the (deserted) villages and cities named in the codex had been in possession of Abbey Lorsch, many of them are mentioned for the first time here. In the project the property should be visualised in mo...
Plain Text - 2.3 MB - MD5: 759c3e71bbc8e4f680862f87c9b15191
Orte, die als Besitzorte im Lorscher Codex erwähnt sind.
Plain Text - 2.6 MB - MD5: 50f5d67cbc0e80479fec63e4542e959d
Alle im Lorscher Codex erwähnten Orte.
Sep 11, 2015 - AWI Experimental Economics
Trautmann, Stefan T.; Kocher, Martin; Pahlke, Julius, 2015, "An Experimental Study of Precautionary Bidding [Dataset]", https://doi.org/10.11588/data/10060, heiDATA, V2, UNF:5:RnlzAG0nN9/oXQdIQt8fdA== [fileUNF]
Auctions often involve goods exhibiting a common-knowledge ex-post risk. In such auctions, precautionary bidding predicts that under expected utility, DARA bidders reduce their bids by more than the appropriate risk premium. Because the degree of riskiness of an auctioned good an...
Tabular Data - 74.2 KB - 123 Variables, 150 Observations - UNF:5:RnlzAG0nN9/oXQdIQt8fdA==
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