131 to 140 of 302 Results
To analyse or debug complex data processing applications, or to ensure their understandability and repeatability, provenance techniques are increasingly being deployed, resulting in large volumes and a wide variety of provenance data. The long-term goal of this project is to leverage visualisation techniques to efficiently and effectively explore p... |
Aug 4, 2023 - Publication: Microfluidic experiments
Karadimitriou, Nikolaos; Lee, Dongwon; Steeb, Holger, 2023, "Visual characterization of displacement processes in porous media", https://doi.org/10.18419/DARUS-3615, DaRUS, V1
This dataset correlates to the submitted article to IEEE VIS 2023, entitled “Visual Analysis of Displacement Processes in Porous Media using Spatio-Temporal Flow Graphs”, by Straub et al. 2023. More specifically, this data set is the one used to create the graphs shown in all Figures, except Figure 2, of the article. In this work, 11 experiments we... |
Aug 4, 2023 - SFB 1333 C4 - Kästner group, ITheoC
Gugeler, Katrin; Kästner, Johannes, 2023, "Replication data of Kästner group for: "Neutral and Cationic Molybdenum Imido Alkylidene Cyclic Alkyl Amino Carbene (CAAC) Complexes for Olefin Metathesis"", https://doi.org/10.18419/DARUS-3656, DaRUS, V1
In this dataset, all simulation data are listed. That includes all geometry optimizations and single-point calculations. Furthermore, the spreadsheet with the collected data is listed. The folders are named according to the nomenclature in the publication. All calculations were performed in Gaussian and the collected data is processed in the spread... |
Aug 3, 2023 - SFB 1333 - Naumann group, IPOC-MSF
Markus, Felix; Bruckner, Johanna R.; Naumann, Stefan, 2023, "Data for "Controlled Synthesis of “Reverse Pluronic”-Type Block Copolyethers with High Molar Masses for the Preparation of Hydrogels with Improved Mechanical Properties"", https://doi.org/10.18419/DARUS-1814, DaRUS, V1
The data is structured according to tables (and specific table entries) and schemes in the research article and contains the following data types: NMR raw data, GPC raw data, rheology raw data (the latter two in the form of exported .txt-files). The NMR data can be used to calculate average block lengths of the polyethers. GPC data allow for relati... |
Aug 3, 2023 - SFB 1333 - Naumann group, IPOC-MSF
Markus, Felix; Vogler, Charlotte; Bruckner, Johanna R.; Naumann, Stefan, 2023, "Data for "Ordered Mesoporous Carbons via Self-Assembly of Tailored Block Copolyethers for Pore Size-Dependent Applications"", https://doi.org/10.18419/DARUS-1827, DaRUS, V1
Data for "Ordered Mesoporous Carbons via Self-Assembly of Tailored Block Copolyethers for Pore Size-Dependent Applications" is reported. The data is structured according to polymer sample identifiers in the research article and contains the following data types: NMR raw data, GPC (SEC) raw data, gas sorption (N2) data, SAXS raw data. The data is fu... |
Aug 3, 2023 - SFB 1333 A3 - Lotsch group, MPI-FKF
Emmerling, Sebastian; Maschita, Johannes; Lotsch, Bettina V., 2023, "Replication data for: "NO as a Reagent for Topochemical Framework Transformation and Controlled Nitric Oxide Release in Covalent Organic Frameworks"", https://doi.org/10.18419/DARUS-3002, DaRUS, V1
This dataset contains all data from analytical measurements including FT-IR and UV-Vis spectra, raw XRD patterns, 1H, 13C and 15N solution and ssNMR spectra, Ar, CO2, and NO sorption isotherms, pore-size distributions, TEM images, and Pawley structure refinements of the journal article mentioned under the related publication. Open *.cif and *.xyz f... |
Aug 2, 2023 - Computational Cognitive Science
Skukies, René, 2023, "2023 CCN Time Window Project Code", https://doi.org/10.18419/DARUS-3635, DaRUS, V1
Notebooks/ scripts used for the time window project done for our CCN contribution in 2023. The notebooks will simulate EEG data based on a known "ground truth" ERP and test whether the estimation length during ERP activity estimation will have an Influence on the results. To get a first impression why this is important please have a look at our onl... |
Aug 2, 2023 - SFB 1333 A3 - Lotsch group, MPI-FKF
Maschita, Johannes; Banerjee, Tanmnay; Lotsch, Bettina V., 2023, "Replication data of Lotsch group for: "Direct and Linker-Exchange Alcohol-Assisted Hydrothermal Synthesis of Imide-Linked Covalent Organic Frameworks"", https://doi.org/10.18419/DARUS-2777, DaRUS, V1, UNF:6:JpoGE3mNSdR4fNCRgNQIxQ== [fileUNF]
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. However, the established synthetic protocols for the synthesis of stable and crystalline COFs, such as imide-lin... |
Aug 2, 2023 - Institute of Aerospace Thermodynamics
Steigerwald, Jonas, 2023, "Numerical Data of Marangoni Test Case from "Visual Analysis of Interface Deformation in Multiphase Flow"", https://doi.org/10.18419/DARUS-3143, DaRUS, V1
This dataset contains the numerical data of the Marangoni convection test case from the study "Visual Analysis of Interface Deformation in Multiphase Flow". In the two investigated scenarios, a water drop coalesce with an ethanol drop. In one case, solutocapillary driven flow phenomena are taken into account, whereas in case to these phenomena are... |
Feyer, Stefan Paul; Pinaud, Bruno; Kobourov, Stephen; Brich, Nicolas; Krone, Michael; Kerren, Andreas; Schreiber, Falk; Klein, Karsten, 2023, "Supplemental Material: "2D, 2.5D, or 3D? An Exploratory Study on Multilayer Network Visualizations in Virtual Reality"", https://doi.org/10.18419/DARUS-3387, DaRUS, V1, UNF:6:PSjD1vZ/FkCWAinPKFoFOg== [fileUNF]
Dataset containing supplemental material for the publication "2D, 2.5D, or 3D? An Exploratory Study on Multilayer Network Visualizations in Virtual Reality" This dataset contains: 1) archive containing all raw quantitative results, 2) archive containing all raw qualitative data, 3) archive containing the graphs used for the experiment (.graphml fil... |
