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Datenumfang: 51 Variablen im SPSS-Format; Personenzahl 327; Verlaufsuntersuchung über drei Zeitpunkte: vor, 3 und 6 Monate nach der OP.
Model-based analysis of neural representations of decision evidence during perceptual decision making
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This dataset contains eight triples of historical images for four different sights. Images were chosen with respect to their possible matching quality. The images show combined differences in illumination, field of view, viewpoints, blurring and slight rotation. Some of the images show building reflections in water or extreme shadowing. The images are saved after digitization in full quality as *.tif files with a maximum sidelength of 3543 Pixels. Since no inner orientation could be determined for all image triples the Trifocal Tensor is provided - calculated using Ressl's method (Ressl, 2003). Additional metadata information, copyright disclaimer and permalinks are provided in License.txt. The purpose of the dataset is the evaluation of different feature detection and matching methods using the given orientation with the Trifocal Tensor. Point transfer calculation is possible using the equation on p. 382 in Multiple View Geometry in Computer Vision (Hartley and Zisserman, 2003). Another method uses the corrected Fundamental Matrices calculated in eq. 15.8 from the Trifocal Tensor on p. 374 in Multiple View Geometry in Computer Vision (Hartley and Zisserman, 2003). Ressl, C., 2003. Geometry, constraints and computation of the trifocal tensor. TU Wien. Hartley, R. and Zisserman, A., 2003. Multiple view geometry in computer vision. Cambridge university press.
CARInA is a German-language speech corpus containing speech material of the German Spoken Wikipedia Corpus. It is organized by completeness and speakers. The folder "Complete" contains all speech material which is annotated at orthographic, morphosyntactic, broad phonetic, narrow phonetic as well as prosodic speech level. The folder "WorkInProgress" contains all material with at least on one incomplete annotation level.
CASITA is a tool for automatic analysis of OTF2 trace files that have been generated with Score-P. It determines program activities with high impact on the total program runtime and the load balancing. CASITA generates an OTF2 trace with additional information such as the critical path, waiting time, and the cause of wait states. The same metrics are used to generate a summary profile which rates activities according their potential to improve the program runtime and the load balancing. A summary of inefficient patterns exposes waiting times in the individual programming models and APIs.
This seismic data set was acquired in 2016 by a joint effort of several partners. A detailed field report by Townend et al. (2016) describes the field procedures and available data. Please see the included pdf-file for more details.