1 to 10 of 28 Results
Feb 11, 2020 - Psychological Research Methods
Mertens, Alica; Hepp, Johanna; Voss, Andreas; Hische, Amelie, 2020, "Pretty crowds are happy crowds - The influence of attractiveness on mood perception. Psychological Research [Dataset]", https://doi.org/10.11588/data/LYWYGN, heiDATA, V1
Empirical findings predominantly support a happiness superiority effect in visual search and emotion categorization paradigms and reveal that social cues, like sex and race, moderate this advantage. A more recent study showed that the facial attribute attractiveness also influenc... |
Sperling, Heinz, 2020, "Römisches Ziegeln: Über die Prozesskette zum Betriebsmodell einer römischen Ziegelei", https://doi.org/10.11588/data/8CB4FQ, heiDATA, V2, UNF:6:hpuAbcqedxpV2RWSpWwj5Q== [fileUNF]
Algorithmen zur Ermittlung der maximalen Chargen- und Saisonkapazität eines römischen Ziegelofens und dessen Ressourcenbedarf sowie der Anzahl für eine bestimmte Menge zu produzierenden Ziegel (z. B. in einem Ziegelbau) benötigten Öfen und der Menge der zugehörigen Ressourcen. |
Hornung, Sebastian; Gilhaus, Johannes; Glunz-Hüsken, Bettina, 2020, "Ergänzende Materialien zu: Rituell oder profan? Ein bronzezeitlicher Fundplatz in der bayerischen Donau-Aue", https://doi.org/10.11588/data/JZFWWW, heiDATA, V1
Grabungspläne; ergänzende Photographien |
Jul 20, 2020 - Cluster of Excellence - Asia and Europe in a Global Context
Volkmann, Armin, 2020, "Archäoinformatik und Perspektiven des Digital Cultural Heritage: Besiedlungsmuster frühgeschichtlicher Kulturen des ersten Jahrtausends AD in Zentraleuropa – Studien zur Transformation peripherer Regionen der Germania superior und des Barbaricums zum Ende des Römischen Reichs", https://doi.org/10.11588/data/QLLMOA, heiDATA, V1, UNF:6:JbbuBhdFQ64oQmZyFnhiTA== [fileUNF]
Die hier vorliegenden regionalen archäologischen Fundstellenkataloge wurden im Rahmen der Habilitationsschrift „Archäoinformatik und Perspektiven des Digital Cultural Heritage ...“ erhoben und in einem Archäologischen Informationssystem (AIS) ausgewertet, wobei sie dem Nachweis d... |
Jul 31, 2020 - Cluster of Excellence - Asia and Europe in a Global Context
Arnold, Matthias; Dober, Agnes, 2020, "Cataloging Cultural Objects (CCO) – The CCO Commons examples in VRA Core 4 XML", https://doi.org/10.11588/data/KKTC9G, heiDATA, V1
“Cataloging Cultural Objects - a Guide to Describing Cultural Works and Their Images” (CCO) provides a data content standard for catalogers of cultural heritage. It is a guidebook for how to populate data elements and where to apply controlled vocabulary standards. The guide is f... |
Mil, Alexander, 2020, "Data analysis of the phd work: "Experimental realization of U(1) gauge invariance in ultracold atomic mixtures"", https://doi.org/10.11588/data/YH80DI, heiDATA, V1
Phd Thesis Abstract: "This thesis reports on the experimental realization of an elementary building block for analog quantum simulation of a U(1) lattice gauge theory in a mixture of two bosonic quantum gases. Experimentally, the building block is realized by Bose-Einstein conden... |
Aug 20, 2020 - Psychological Research Methods
Mertens, Alica; von Krause, Mischa; Denk, Alexandra; Heitz, Theresia, 2020, "Gender differences in meat-eating behavior and environmental attitudes – The mediating role of the Dark Triad", https://doi.org/10.11588/data/KPY585, heiDATA, V1, UNF:6:m/fJhuHUlo37Y+XZGy2i2w== [fileUNF]
Recently, Machiavellianism was identified as potential mediator explaining gender differences in meat-eating justification strategies, which in turn predicted actual meat consumption. The current study aimed to – on the one hand – replicate this empirical finding and to – on the... |
Leuschner, Florian, 2020, "(MI)MI Model", https://doi.org/10.11588/data/Y6Y7P0, heiDATA, V1, UNF:6:+YH2Zdq/RGjq2VJMW9SMQQ== [fileUNF]
Source data for 'A minimal-invasive approach for standardized induction of myocardial infarction in mice'. |
Sep 7, 2020 - IWR Visual Learning Lab
Brachmann, Eric, 2020, "Expert Sample Consensus (ESAC) for Visual Re-Localization [Data]", https://doi.org/10.11588/data/GSJE9D, heiDATA, V1
Supplementary training data for visual camera re-localization, particularly pre-computed scene coordinates to the MSR 7Scenes dataset and the Standford 12Scenes dataset. We also provide pre-trained models of our method for the 7Scenes, 12Scenes, Dubrovnik and Aachen (day) dataset... |
Sep 7, 2020 - IWR Visual Learning Lab
Brachmann, Eric, 2020, "Neural-Guided RANSAC for Estimating Epipolar Geometry [Data]", https://doi.org/10.11588/data/PCGYET, heiDATA, V1
Pre-computed sparse feature correspondences for pairs of images (outdoor and indoor) to reproduce the experiments described in our paper, particularly to train and evaluate NG-RANSAC. For more information, also see the code documentation: https://github.com/vislearn/ngransac |
