91 to 100 of 215 Results
Aug 24, 2022 - PN 6
Holzmüller, David; Zaverkin, Viktor; Kästner, Johannes; Steinwart, Ingo, 2022, "Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v2]", https://doi.org/10.18419/DARUS-3110, DaRUS, V1
This dataset contains code and data for the second arXiv version of our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to reproduce the results, to benchmark new methods, or to apply the presented methods to new Deep Batch Active Learning problems. The code is also available on GitHub. Informat... |
Aug 24, 2022 - SFB-TRR 161 A02 "Quantifying Visual Computing Systems"
Müller, Christoph; Heinemann, Moritz; Weiskopf, Daniel; Ertl, Thomas, 2022, "Energy consumption of scientific visualisation and data visualisation algorithms", https://doi.org/10.18419/DARUS-3044, DaRUS, V1, UNF:6:dEyIoAgP890tWqA/WShryw== [fileUNF]
This data set comprises a series of measurements of GPU power consumption when raycasting spherical glyphs, raycasting scalar fields and when showing web-based data visualisation on Observable HQ. The data sets for sphere rendering were: pos_rad_intensity : 500000 : 0 : 10 10 10 : 0.01 0.1 500,000 spheres placed randomly, but usinga fixed seed, in... |
Aug 16, 2022 - Institute of Aerospace Thermodynamics
Stober, Jonathan, 2022, "Simulation Results of a Droplet Impact onto a Liquid Film", https://doi.org/10.18419/DARUS-3102, DaRUS, V1
The dataset contains the results of a Direct Numerical Simulation of a droplet impact onto a thin wall film (Hexadecane, air) performed with the ITLR inhouse program package Free Surface 3D (FS3D). The code solves the incompressible Navier-Stokes equations in a one-field formulation with a Volume of Fluid (VoF) approach, see related publication. Th... |
Jeltsch, Albert; Schnee, Philipp; Pleiss, Jürgen, 2022, "Additional data related to Schnee et al.: Mechanistic basis of the increased methylation activity of the SETD2 protein lysine methyltransferase towards a designed super-substrate peptide", https://doi.org/10.18419/DARUS-2508, DaRUS, V2
This data collection contains additional data related to Schnee et al.: Mechanistic basis of the increased methylation activity of the SETD2 protein lysine methyltransferase towards a designed super-substrate peptide. This includes MD simulations code and analysis scripts. The usage of these Phyton scripts is further explained in the enclosed readm... |
Aug 11, 2022 - Publication: Microfluidic experiments
Vahid Dastjerdi, Samaneh; Karadimitriou, Nikolaos; Steeb, Holger, 2022, "Data for: Experimental Evaluation of Fluid Connectivity in Two-phase Flow in Porous Media", https://doi.org/10.18419/DARUS-2841, DaRUS, V1, UNF:6:eXAn1Zw3dv3IbpOaxBARzw== [fileUNF]
With the use of optical microscopy, microfluidic experiments took place in quasi-2D artificial porous media for a variety of cyclic displacement processes and boundary conditions, four of which are shared here. This Dataset contains the data presented in the related publication Vahid Dastjerdi et. al. (2022) and (2023). Each experiment is flow cont... |
Aug 9, 2022 - EXC IntCDC Research Project 12 'Computational Co-Design Framework for Fibre Composite Building Systems'
Abdelaal, Moataz; Schiele, Nathan Daniel; Angerbauer, Katrin; Kurzhals, Kuno; Sedlmair, Michael; Weiskopf, Daniel, 2022, "Supplemental Materials for: Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations", https://doi.org/10.18419/DARUS-3100, DaRUS, V1
The supplemental materials of the paper titled Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations, which was accepted for presentation at IEEE VIS 2022 conference. The structure of the folder is as follows:
.
└── code
|── NetworkGeneration # the R code to generate the network data
|── NetworkVis... |
Aug 8, 2022 - SFB-TRR 161 A01 "Uncertainty Quantification and Analysis in Visual Computing"
Hägele, David; Krake, Tim, 2022, "Source Code for Uncertainty-Aware Multidimensional Scaling", https://doi.org/10.18419/DARUS-2995, DaRUS, V1
This dataset contains the source code for the uncertainty-aware multidimensional scaling (UAMDS) algorithm implemented in the Java programming language. UAMDS is a nonlinear dimensionality reduction technique for sets of random vectors. The implemented UAMDS model allows to project a set of multivariate normal distributions to low-dimensional space... |
Aug 5, 2022 - PN 7-6
Kneifl, Jonas; Hay, Julian; Fehr, Jörg, 2022, "Human Occupant Motion in Pre-Crash Scenario", https://doi.org/10.18419/DARUS-2471, DaRUS, V1
This dataset provides simulation results from a high-fidelity human body model in a pre-crash scenario as well as a surrogate model to approximate those simulation results. The high-fidelity results contain the motion of all points describing the occupant at certain points of time for several scenarios. In each scenario, the accelerations of the ve... |
Vorobyov, Vadim, 2022, "Replication Data for: Quantum nonlinear spectroscopy of single nuclear spins", https://doi.org/10.18419/DARUS-3004, DaRUS, V1
Datasets to reproduce all plots in the paper. Each spreadsheet contains the horizontal and vertical data of a subfigure. The research investigates high order correlations in the output of the sensor which allows to distinguish different types of noise. |
Li, Zheng, 2022, "Publication data for: "Hydronium Ion and Water Complexes vs. Methanol on Solid Catalyst Surfaces: How Confinement Determines Stability and Reactivity - data from C1 - Dyballa group"", https://doi.org/10.18419/DARUS-3058, DaRUS, V1
All primary data files and processed data of the journal article from C1 - Dyballa group. Containing MAS NMR, N2 physisorption and XRD data. The NMR data (.dx file) can be opened with topspin software. |
