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501 to 510 of 744 Results
Apr 4, 2022 - Institut für Visualisierung und Interaktive Systeme
Tremel, Tina; Kögel, Jochen; Jauernig, Florian; Meier, Sebastian; Thom, Dennis; Becker, Franziska; Müller, Christoph; Koch, Steffen, 2022, "Supplemental Material for "VITALflow: Visual Interactive Traffic Analysis with NetFlow"", https://doi.org/10.18419/DARUS-2779, DaRUS, V1
This data set provides supplemental material for the publication "VITALflow: Visual Interactive Traffic Analysis with NetFlow", namely a video illustrating how the system is used and additional information on the expert evaluation that has been performed. The VITALflow system is a Visual Analytics tool for investigating NetFlow/IPFIX data for the p...
Apr 4, 2022 - 3rd Physics Institute
Zhang, Chen, 2022, "Replication Data for: Quantum-assisted distortion-free audio signal sensing", https://doi.org/10.18419/DARUS-2793, DaRUS, V1
Datasets to reproduce all plots in the paper. Each spreadsheet contains the horizontal and vertical data of a subfigure. The first few lines describe the axis legends and the legends of curves that are plotted. Audio signals are presented in *.wav files.
Apr 1, 2022 - SFB 1333 A3 - Lotsch group, MPI-FKF
Maschita, Johannes; Banerjee, Tanmay; Savasci, Gökcen; Haase, Frederik; Ochsenfeld, Christian; Lotsch, Bettina V., 2022, "Replication data for: "Ionothermal Synthesis of Imide‐Linked Covalent Organic Frameworks"", https://doi.org/10.18419/DARUS-1837, DaRUS, V1
Covalent organic frameworks (COFs) are an extensively studied class of porous materials, which distinguish themselves from other porous polymers in their crystallinity and high degree of modularity, enabling a wide range of applications. COFs are most commonly synthesized solvothermally, which is often a time‐consuming process and restricted to wel...
Apr 1, 2022 - Institute of Industrial Automation and Software Engineering
Maschler, Benjamin; Iliev, Angel; Pham, Thi Thu Huong; Weyrich, Michael, 2022, "Stuttgart Open Relay Degradation Dataset (SOReDD)", https://doi.org/10.18419/DARUS-2785, DaRUS, V1
Real-life industrial use cases for machine learning oftentimes involve heterogeneous and dynamic assets, processes and data, resulting in a need to continuously adapt the learning algorithm accordingly. Industrial transfer learning offers to lower the effort of such adaptation by allowing the utilization of previously acquired knowledge in solving...
Apr 1, 2022 - Falling Heads
Wochner, Isabell; Schmitt, Syn, 2022, "Neck muscle data for Falling Heads: investigating reflexive responses to head-neck perturbations", https://doi.org/10.18419/DARUS-1145, DaRUS, V1, UNF:6:x9+WHb9RUaJfQ9jJiNEQJw== [fileUNF]
This dataset contains the neck muscle parameters for the user-defined Extended Hill Type Muscle Material as used in the publication paper "’Falling Heads’: investigating reflexive responses to head-neck perturbations" by Isabell Wochner, Lennart V. Nölle, Oleksandr V. Martynenko and Syn Schmitt. Always cite the paper together with this dataset beca...
Apr 1, 2022 - Falling Heads
Wochner, Isabell, 2022, "Trajectory Data for Falling Heads: investigating reflexive responses to head-neck perturbations", https://doi.org/10.18419/DARUS-1132, DaRUS, V1, UNF:6:qCoJktHRm+8r61oAjbw9+w== [fileUNF]
This dataset contains the extracted trajectories from the video data for 17 participants of the Falling Head experiment of the paper "’Falling Heads’: investigating reflexive responses to head-neck perturbations" by Isabell Wochner, Lennart V. Nölle, Oleksandr V. Martynenko and Syn Schmitt. Always cite the paper together with this dataset because t...
Apr 1, 2022 - Falling Heads
Wochner, Isabell; Schmitt, Syn, 2022, "EMG data for Falling Heads: investigating reflexive responses in active Human Body Models", https://doi.org/10.18419/DARUS-1038, DaRUS, V1, UNF:6:qCoJktHRm+8r61oAjbw9+w== [fileUNF]
This dataset contains the raw electromyographic (EMG) data for 17 participants of the Falling Head experiment of the paper "’Falling Heads’: investigating reflexive responses to head-neck perturbations" by Isabell Wochner, Lennart V. Nölle, Oleksandr V. Martynenko and Syn Schmitt. Always cite the paper together with this dataset because this datase...
Apr 1, 2022 - Eigenvalue problem solver for evaporation-driven density instabilities in saturated porous media
Bringedal, Carina; Pieters, G. J. M.; Duijn, C. J. van, 2022, "Eigenvalue problem solver for evaporation-driven density instabilities in saturated porous media", https://doi.org/10.18419/DARUS-2577, DaRUS, V1
This code solves the resulting eigenvalue problem when considering onset of density-driven instabilities in a semi-infinite saturated porous medium which is subject to an evaporative flux for water and no-flux for the salt concentration from the top boundary. The eigenvalue problem is a function of the wavenumber and time, which are hence input par...
Mar 30, 2022 - Publication: Spatio-temporal distribution of precipitates and mineral phase transition during biomineralization affect porosity-permeability relationships
Weinhardt, Felix; Deng, Jingxuan; Steeb, Holger; Class, Holger, 2022, "Optical Microscopy and log data of Enzymatically Induced Calcite Precipitation (EICP) in microfluidic cells (Quasi-2D-structure)", https://doi.org/10.18419/DARUS-1799, DaRUS, V1
Content: This dataset includes raw as well as processed data from three experiments (Quasi-2D-1, Quasi-2D-2 and Quasi-2D-3). Each dataset consists of the readouts from the pressure sensor(s), as logged with the use of QmixElements ([Name of Experiment]_logFiles_QMIX), raw images ( [Name of Experiment]_rawImages ), and segmented images ( [Name of Ex...
Mar 29, 2022 - Projects without PN Affiliation
Hermann, Sibylle, 2022, "Case Study Database for: Documenting Research Software in Engineering Science", https://doi.org/10.18419/DARUS-2681, DaRUS, V1, UNF:6:b7kyHlt+OvbLE/xZr7JtHQ== [fileUNF]
This dataset contains the collected data of a case study on the documentation of research software in the institutional everyday life of engineering scientists. All files beginning with "Notes" contain personal thoughts and transcripts. More detailed descriptions about the content of the files are located directly on the file.
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