1,861 to 1,870 of 3,562 Results
Aug 29, 2022 - EXC IntCDC Research Project 5 'Reconfiguration of Training, Skills and Digital Literacy'
Wortmeier, Ann-Kathrin; Calepso, Aimée Sousa; Kropp, Cordula; Sedlmair, Michael; Weiskopf, Daniel, 2022, "Replication Data for BauHCI Video Analysis", https://doi.org/10.18419/DARUS-2117, DaRUS, V1, UNF:6:+IiMCK3MFfuUzdi5tz/L/g== [fileUNF]
The commercial videos are presenting visions of future Augmented reality applications. We analyzed 30 YouTube videos featuring AR devices in industrial manufacturing and construction. We offer the excel sheet including the list of the 30 commercial YouTube videos with information on year/title/duration/initiator/type of initiator/link/keywords in s... |
Aug 27, 2022 - SFB 1333 C1 - Dyballa group, ITC
Rieg, Carolin; Dittmann, Daniel; Li, Zheng; Kurtz, Alan; Kaya, Elif; Peters, Stefan; Kunkel, Benny; Parlinska-Wojtan, Magdalena; Wohlrab, Sebastian; Abdel-Mageed, Ali; Dyballa, Michael, 2022, "Publication data of Dyballa group for: "Introducing a Novel Method for Probing Accessibility, Local Environment and Spatial Distribution of Oxidative Sites on Solid Catalysts using Trimethylphosphine"", https://doi.org/10.18419/DARUS-2992, DaRUS, V1
Primary data files of measurements and processed data of the journal article mentioned under related publications from Dyballa group can be found here. This comprises MAS-NMR, ICP-OES, N2-Physisorption (Brunauer-Emmett-Teller method; BET), XRD, and STEM data. The STEM images are stored in the folder "STEM". |
Aug 26, 2022 - Institute of Thermodynamics and Thermal Process Engineering
Zimmermann, Nils Edvin Richard; Guevara-Carrion, Gabriela; Vrabec, Jadran; Hansen, Niels, 2022, "Supplementary material for 'Predicting and rationalizing the Soret coefficient of binary Lennard-Jones mixtures in the liquid state'", https://doi.org/10.18419/DARUS-2996, DaRUS, V2
Supplementary material for 'Predicting and rationalizing the Soret coefficient of binary Lennard-Jones mixtures in the liquid state' (N. E. R. Zimmermann, G. Guevara-Carrion, J. Vrabec, N. Hansen, Adv. Theory Simul., 2022) containing scripts, packages, and files to re-create and to submit LAMMPS simulations performed for non-equilibrium molecular d... |
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... |
Aug 15, 2022 - MD Simulations
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 # the code that... |
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... |
