11 to 20 of 36 Results
Feb 16, 2018 - Cluster of Excellence - Asia and Europe in a Global Context
Franziska Koch, 2018, "GECCA mapped", https://doi.org/10.11588/data/6JTPWL, heiDATA, V1
GECCA mapped is a pilot project that visualizes and provides geo-referential metadata of sixty exhibition entries collected in the larger GECCA data base (more than 700 entries). The exhibition sample is limited to Western, i.e. Western European and Northern American group exhibi... |
Cleo-Aron Weis, 2018, "Histopathology of thymectomy specimens from the MGTX-trial", https://doi.org/10.11588/data/NWE2JJ, heiDATA, V1, UNF:6:Od2UlnHG3ctanb4ikzIx4g== [fileUNF]
Background: The thymectomy specimens from the “thymectomy trial in non-thymomatous myasthenia gravis patients receiving prednisone therapy” (MGTX) [1] underwent rigid and comprehensive work-up, which results in a unique, spatially mapped dataset. Fig. 1 Specimen work-up: Work-up... |
Oct 11, 2018 - Thematic Research Collection of the Iconography of Venus from the Middle Ages to Modern Times
Bender, K., 2018, "Image Set: Iconography of Venus from the Middle Ages to Modern Times", https://doi.org/10.11588/data/ZPCZ19, heiDATA, V1
The image set is subdivided in nine .zip files according to the first digit of the image id (Ref No in the CSV-files or Ref R in the pdf catalogues) and contains in total 25,682 image files with an average size of 203 kB. The distribution of number of image files is as follows: n... |
Mar 22, 2018 - AWI Experimental Economics
Apesteguia, Jose; Huck, Steffen; Oechssler, Jörg; Weidenholzer, Elke; Weidenholzer, Simon, 2018, "Imitation of Peers in Children and Adults [Dataset]", https://doi.org/10.11588/data/HFTMST, heiDATA, V1, UNF:6:QDuPhtFcF3CPULh+tQIpJQ== [fileUNF]
Imitation of the successful choices of others is a simple and superficially attractive learning rule. It has been shown to be an important driving force for the strategic behavior of (young) adults. In this study we examine whether imitation is prevalent in the behavior of childr... |
Kabisch, Maria; Hamann, Ute; Lorenzo Bermejo, Justo, 2018, "Imputation of Missing Genotypes within LD-Blocks Relying on the Basic Coalescent and Beyond [Source Code]", https://doi.org/10.11588/data/X9UEHB, heiDATA, V1
Background Genotypes not directly measured in genetic studies are often imputed to improve statistical power and to increase mapping resolution. The accuracy of standard imputation techniques strongly depends on the similarity of linkage disequilibrium (LD) patterns in the study... |
Jul 20, 2018 - Psychological Research Methods
Bucher, Alica; Voss, Andreas, 2018, "Judging the mood of the crowd: Attention is focused on happy faces [Dataset]", https://doi.org/10.11588/data/MES8FE, heiDATA, V1
Previous research on valence biases in face perception revealed inconsistent findings either proposing angry or happy faces to be detected more efficiently. We argue that the typical experimental task in this field, the face-in-the-crowd (FiC) paradigm, lacks ecological validity... |
Chinca, Mark; Hunter, Helen; Wolf, Jürgen; Young, Christopher, 2018, "Kaiserchronik - digital", https://doi.org/10.11588/data/PEFKJM, heiDATA, V3
The digital edition presents the entire manuscript transmission of the Kaiserchronik, both known and extant, in dual format: digital facsimiles of the manuscripts (where these are still extant) on the one hand, transcriptions of the manuscript text on the other. Manuscripts now l... |
Jun 13, 2018 - Church History
Nunn, Christopher Alexander, 2018, "Keywords in Augustine's Letters (KAL)", https://doi.org/10.11588/data/R5RAXO, heiDATA, V1
252 latin letters, based on the CAG Online, were lemmatized with the aid of the TreeTagger and the Latin parameter files of Gabriele Brandolini. Afterwards, Lemmatization errors were corrected manually. With Wordsmith 7.0, I extracted key words out of the lemmas automatically. Th... |
Jun 22, 2018 - Psychological Research Methods
Voss, Andreas; Mertens, Ulf K.; Radev, Stefan T., 2018, "Learning the Likelihood: Using DeepInference for the Estimation of Diffusion-Model and Lévy Flight Parameters [Dataset]", https://doi.org/10.11588/data/HY4OBJ, heiDATA, V1
In the corresponding paper, we use the recently develop DeepInference architecture as a general likelihood-free method to estimate parameters of cognitive models. DeepInference is a machine-learning algorithm based on the training of convolutional neural networks. In a first step... |
Trautmann, Stefan T.; Wakker, Peter P., 2018, "Making the Anscombe-Aumann approach to ambiguity suitable for descriptive applications [Dataset]", https://doi.org/10.11588/data/HNN1FW, heiDATA, V1
The Anscombe-Aumann (AA) model, originally introduced to give a normative basis to expected utility, is nowadays mostly used for another purpose: to analyze deviations from expected utility due to ambiguity (unknown probabilities). The AA model makes two ancillary assumptions tha... |
