81 to 90 of 215 Results
Sep 26, 2022 - Publication: Particulate systems
Ruf, Matthias; Taghizadeh, Kianoosh; Steeb, Holger, 2022, "micro-XRCT data sets and in situ measured ultrasonic wave propagation of a pre-stressed monodisperse rubber and glass particle mixture with 30% volume rubber content", https://doi.org/10.18419/DARUS-2833, DaRUS, V1, UNF:6:V7YRRp377HBaXdVaRSc6ig== [fileUNF]
This dataset contains two micro X-ray Computed Tomography (micro-XRCT) data sets from scans of the identical cylindrical sample (diameter 80 mm; unloaded height 80 mm) under different uniaxial compression loads. The sample consists of monodisperse soft (rubber) and stiff (glass) particles mixture. Both particles have an identical diameter of 4 mm.... |
Sep 23, 2022 - SFB-TRR 161 A05 "Image/Video Quality Assessment: From Test Databases to Similarity-Aware and Perceptual Dynamic Metrics"
Hosu, Vlad; Lin, Hanhe; Szirányi, Tamas; Saupe, Dietmar, 2022, "KonIQ-10k IQA Database", https://doi.org/10.18419/DARUS-2435, DaRUS, V1, UNF:6:2Pw1H0RwWd4G4kLDsT/bjA== [fileUNF]
KonIQ-10k is, at the time of publication, the largest IQA dataset to date consisting of 10,073 quality scored images. This is the first in-the-wild database aiming for ecological validity, with regard to the authenticity of distortions, the diversity of content, and quality-related indicators. Through the use of crowdsourcing, we obtained 1.2 milli... |
Sep 21, 2022 - SFB-TRR 161 B01 "Adaptive Self-Consistent Visualization"
Rodrigues, Nils; Schulz, Christoph; Döring, Sören; Baumgartner, Daniel; Krake, Tim; Weiskopf, Daniel, 2022, "Supplemental Material for Relaxed Dot Plots: Faithful Visualization of Samples and Their Distribution", https://doi.org/10.18419/DARUS-3055, DaRUS, V1
Supplemental material for the paper "Relaxed Dot Plots: Faithful Visualization of Samples and Their Distribution". Contains: math behind Relaxed Dot Plots additional images pseudo-anonymous study data source code for library and test application To view the material, extract supplemental.zip and open index.html in a web browser. |
Sep 8, 2022 - Cyclorotor
Donners, Leonard Jakob; Gagnon, Louis, 2022, "Data for: Experimental Validation of a Cycloidal Rotor URANS CFD Model and Geometric Parameter Optimization", https://doi.org/10.18419/DARUS-2812, DaRUS, V1
Cycloidal rotors offer many properties that are beneficial to VTOL (vertical take-off and landing) rotor concepts. Two examples are high manoeuvrability and low aerodynamic noise emission. These rotors use cyclically pitched axial blades to generate thrust and operate in highly unsteady flow regimes, including curvilinear flow and dynamic stall phe... |
Sep 7, 2022 - Data Analytics in Engineering
Sharba, Shadi; Fritzen, Felix, 2022, "Thermoelastic simulations of 3d microstructures", https://doi.org/10.18419/DARUS-2822, DaRUS, V1
This repository acts as an extension and data source to the adaptive thermomechanical homogenization scheme implemented in https://github.com/DataAnalyticsEngineering/AdaptiveThermoMechROM. Here, image data of 3D microstructures with various oriented and shaped cuboids, spheroids, and variable volume fractions is provided. Temperature-dependent the... |
Sep 6, 2022 - Subarea B5
Gärtner, Jan Wilhelm, 2022, "DG Data Sets of Bubble Growth in Flashing Jets", https://doi.org/10.18419/DARUS-2828, DaRUS, V1
Initial Discontinuous Galerkin (DG) data sets of flashing bubble growth of a jet slice and jet tip configuration. Cases and results can also be found in: D. Dietzel, "Modeling and simulation of flash-boiling of cryogenic liquids", PhD Thesis, University of Stuttgart, 2020. doi: 10.18419/opus-10974 D. Dietzel, T. Hitz, C.-D. Munz, and A. Kronenburg,... |
Aug 31, 2022 - SFB-TRR 161 B04 "Adaptive Algorithms for Motion Estimation"
Mehl, Lukas; Beschle, Cedric; Barth, Andrea; Bruhn, Andrés, 2022, "Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation", https://doi.org/10.18419/DARUS-2890, DaRUS, V1
Results of our proposed optical flow method on the Sintel and KITTI datasets. We provide the benchmark results before and after applying our refinement approach. Additionally, we provide a supplementary material to our paper with more details on the minimisation, the numerical solution and additional results. The data is structured as follows: The... |
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... |