271 to 280 of 295 Results
Feb 22, 2024 - A02: Advanced modelling concepts for coupling free flow with porous-media flow
Gläser, Dennis, 2024, "Dumux code for Stokes-Darcy mortar method", https://doi.org/10.18419/DARUS-3598, DaRUS, V1
This dataset contains the source code for the examples shown in Boon, W.M., Gläser, D., Helmig, R. and Yotov, I. A mortar method for the coupled Stokes-Darcy problem using the MAC scheme for Stokes and mixed finite elements for Darcy. Comput Geosci (2024). https://doi.org/10.1007/s10596-023-10267-6 with the open-source simulator Dumux. The first on... |
Feb 21, 2024 - Analytic Computing
Asma, Zubaria; Hernández, Daniel; Galárraga, Luis; Flouris, Giorgos; Fundulaki, Irini; Hose, Katja, 2024, "Code and benchmark for NPCS, a Native Provenance Computation for SPARQL", https://doi.org/10.18419/DARUS-3973, DaRUS, V1
Code for the implementation and benchmark of NPCS, a Native Provenance Computation for SPARQL. The code in this dataset includes the implementation of the NPCS system, which is a middleware for SPARQL endpoints that rewrites queries to queries that annotate answers with provenance polynomials (i.e., how-provenance data). The translation rules imple... |
Feb 16, 2024 - PN3-5
Sriram, Siddharth, 2024, "Data-driven analysis of structural instabilities in electroactive polymer bilayers based on a variational saddle-point principle: Datasets and ML codes", https://doi.org/10.18419/DARUS-3881, DaRUS, V1
The datasets and codes provided here are associated with our article entitled "Data-driven analysis of structural instabilities in electroactive polymer bilayers based on a variational saddle-point principle". The main idea of the work is to develop surrogate models using the concepts of machine learning (ML) to predict the onset of wrinkling insta... |
Feb 16, 2024 - Analytic Computing
Seifer, Philipp; Hernández, Daniel; Lämmel, Ralf; Staab, Steffen, 2024, "Code for From Shapes to Shapes", https://doi.org/10.18419/DARUS-3977, DaRUS, V1
This dataset contains the implementation code for an algorithm to infer SHACL shapes that the graph returned by an SPARQL CONSTRUCT query must satisfy if the input satisfies a given set of SHACL shapes. This dataset also includes an evaluation for the algorithm. The algorithm implemented in this dataset is proposed in the paper From Shapes to Shape... |
Feb 16, 2024 - C-X5
Kiemle, Stefanie; Schneider, Jana; Heck, Katharina, 2024, "Replication data for analyzing stable water isotopologue transport within soils using fractionation parameterizations", https://doi.org/10.18419/DARUS-3572, DaRUS, V1
Replication data to reproduce the results presented in J. Schneider & S. Kiemle, K. Heck, Y. Rothfuss, I. Braud, R. Helmig, J. Vanderborght (2024) Analysis of Experimental and Simulation Data of Evaporation-Driven Isotopic Fractionation in Unsaturated Porous Media. (Under review) Vadose Zone. The replication data contains numerical data sets genera... |
Feb 13, 2024 - Analytic Computing
Hedeshy, Ramin; Menges, Raphael; Staab, Steffen, 2024, "CNVVE Dataset clean audio samples", https://doi.org/10.18419/DARUS-3898, DaRUS, V1
This CNVVE Dataset contains clean audio samples encompassing six distinct classes of voice expressions, namely “Uh-huh” or “mm-hmm”, “Uh-uh” or “mm-mm”, “Hush” or “Shh”, “Psst”, “Ahem”, and Continuous humming, e.g., “hmmm.” Audio samples of each class are found in the respective folders. These audio samples have undergone a thorough cleaning proces... |
Feb 13, 2024 - Analytic Computing
Hedeshy, Ramin; Menges, Raphael; Staab, Steffen, 2024, "Code for Training and Testing CNVVE", https://doi.org/10.18419/DARUS-3896, DaRUS, V1
This dataset consists of files used for training and testing the CNVVE Dataset. This dataset consists of 950 audio samples encompassing six distinct classes of voice expressions. These expressions were collected from 42 generous individuals who donated their voice recordings for the study. By making the dataset publicly accessible, we hope to facil... |
Feb 13, 2024 - Analytic Computing
Hedeshy, Ramin; Menges, Raphael; Staab, Steffen, 2024, "Raw audio samples of the CNVVE dataset", https://doi.org/10.18419/DARUS-3897, DaRUS, V1
This CNVVE Dataset contains raw audio samples encompassing six distinct classes of voice expressions, namely “Uh-huh” or “mm-hmm”, “Uh-uh” or “mm-mm”, “Hush” or “Shh”, “Psst”, “Ahem”, and Continuous humming, e.g., “hmmm.” Audio samples of each class are found in the respective folders. The samples are recorded through a dedicated website for data c... |
Feb 12, 2024 - Entwickelte Materialien zur Dissertation - On the Development of Activating Teaching Materials in Theoretical Physics
Scheiger, Philipp, 2024, "Entwickelte Materialien zur Dissertation "On the Development of Activating Teaching Materials in Theoretical Physics"", https://doi.org/10.18419/DARUS-3972, DaRUS, V1
This Dataset lists the developed materials and their background files of the dissertation "On the Development of Activating Teaching Materials in Theoretical Physics" by Philipp Scheiger. The material is provided in PDF form, but their generation code and the graphics used are also available. In most cases this is latex code, but in some cases it i... |
Feb 6, 2024 - SFB-TRR 161 B01 "Adaptive Self-Consistent Visualization"
Rodrigues, Nils; Dennig, Frederik L.; Brandt, Vincent; Keim, Daniel; Weiskopf, Daniel, 2024, "Comparative Evaluation of Animated Scatter Plot Transitions - Supplemental Material", https://doi.org/10.18419/DARUS-3451, DaRUS, V1
We evaluated several animations for transitions between scatter plots in a crowd-sourcing study. We published the results in a paper and provide additional information within this supplemental material. Contents: Tables that did not fit into the original paper, due to page limits. An anonymized print-out of the preregistration. The original preregi... |
