621 to 630 of 1,845 Results
Jeltsch, Albert; Schnee, Philipp; Saad, Mina; Weirich, Sara; Pleiss, Jürgen; Bashtrykov, Pavel, 2023, "Additional data related to Khella et al.: The T1150A cancer mutant of the protein lysine methyltransferase NSD2 can introduce H3K36 trimethylation", https://doi.org/10.18419/DARUS-3263, DaRUS, V1
This data collection contains additional data related to Khella et al.: "The T1150A cancer mutant of the protein lysine methyltransferase NSD2 can introduce H3K36 trimethylation". This includes Movie 1: Example of a successful docking of AdoMet to the NSD2 T1150A - H3K36me2 peptide complex Modelled structures of NSD2 bound to different peptides and... |
Mar 13, 2023 - Holm group
Gravelle, Simon; Beyer, David; Brito, Mariano E.; Schlaich, Alexander; Holm, Christian, 2023, "Scripts for "Assessing the validity of NMR relaxation rates obtained from coarse-grained simulations"", https://doi.org/10.18419/DARUS-3313, DaRUS, V1
Simulations and data analysis scripts for the publication "Assessing the validity of NMR relaxation rates obtained from coarse-grained simulations". The dataset contains two types of simulation scripts: all-atom simulation (GROMACS) and coarse-grained simulations (ESPRESSO). In both cases, the system is a polymer PEG bulk system. See the README fil... |
Mar 13, 2023 - CHOLife_TUHH_LSP_tracking
Hofmann, Sebastian; Rautenbach, Ryan, 2023, "Code for: Experimental Investigations of the Flow-Following Capabilities and Hydrodynamic Characteristics of Lagrangian Sensor Particles With Respect to Their Centre of Mass", https://doi.org/10.18419/DARUS-3314, DaRUS, V1
Data for 2D Lagrangian Particle tracking and evaluation for their hydrodynamic characteristics ## Abstract This dataset entails PYTHON code for fluid mechanic evaluation of Lagrangian Particles with the "Consensus-Based tracking with Selective Rejection of Tracklets" (CSRT) algorithm in the "OpenCV" library, written by Ryan Rautenbach in the framew... |
Mar 9, 2023 - NMR investigation of water confined by salt interface
Gravelle, Simon; Holm, Christian; Schlaich, Alexander, 2023, "Molecular simulation scripts for slit nanopores", https://doi.org/10.18419/DARUS-3180, DaRUS, V1
GROMACS molecular simulation input files for slit nanopores made of NaCl and Na2SO4 solid walls, and filled with respectively NaCl and Na2SO4 solutions. Initial configuration with a given salt concentration can be generated using the Python script ConfigurationGenerator.py, and successive GROMACS runs can be performed by running the runall.sh Bash... |
Mar 9, 2023 - PN 3-11
Degen, Morris; Santos, José Carlos; Pluhackova, Kristyna; Cebrero, Gonzalo; Ramos, Saray; Jankevicius, Gytis; Hartenian, Ella; Guillerm, Undina; Mari, Stefania A.; Kohl, Bastian; Müller, Daniel J.; Schanda, Paul; Maier, Timm; Perez, Camilo; Sieben, Christian; Broz, Petr; Hiller, Sebastian, 2023, "Supplementary material for 'Structural basis for ninjurin-1 mediated plasma membrane rupture in lytic cell death'", https://doi.org/10.18419/DARUS-3373, DaRUS, V1
Eukaryotic cells can undergo different forms of programmed cell death, many of which culminate in plasma membrane rupture (PMR) as the defining terminal event. PMR was long thought to be driven by osmotic pressure, until it was recently shown to be in many cases an active process, mediated by the protein ninjurin-1 (NINJ1). Here, we studied whether... |
Mar 8, 2023 - NMR investigation of water confined by salt interface
Gravelle, Simon; Holm, Christian; Schlaich, Alexander, 2023, "Molecular simulation scripts for bulk solutions", https://doi.org/10.18419/DARUS-3179, DaRUS, V1
GROMACS molecular simulation input files for bulk solutions of NaCl and Na2SO4. Initial configuration with different salt concentration can be generated using the Python script ConfigurationGenerator.py, and successive GROMACS runs can be performed by running the runall.sh Bash script. |
Mar 8, 2023 - Collaborative Artificial Intelligence
Bulling, Andreas, 2023, "Labeled pupils in the wild (LPW)", https://doi.org/10.18419/DARUS-3237, DaRUS, V1
We present labelled pupils in the wild (LPW), a novel dataset of 66 high-quality, high-speed eye region videos for the development and evaluation of pupil detection algorithms. The videos in our dataset were recorded from 22 participants in everyday locations at about 95 FPS using a state-of-the-art dark-pupil head-mounted eye tracker. They cover p... |
Mar 8, 2023 - Projects without PN Affiliation
Alkämper, Maria; Magiera, Jim M., 2022, "Interface Preserving Moving Mesh (Code)", https://doi.org/10.18419/DARUS-1671, DaRUS, V2
Open source implementation in C++ for an interface preserving moving mesh in 2d and 3d using CGAL Delaunay triangulations. The time-dependent computational mesh allows for large point deformations while preserving a lower dimensional interface surface. See README.md for more information. |
Mar 6, 2023 - SFB-TRR 161 A03 "Quantification of Visual Analytics Transformations and Mappings"
Pomerenke, David; Dennig, Frederik L.; Keim, Daniel; Fuchs, Johannes; Blumenschein, Michael, 2022, "Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters"", https://doi.org/10.18419/DARUS-3060, DaRUS, V2, UNF:6:UBKuKSiQ9Yl4rH7r00rY3g== [fileUNF]
This is the replication data for our publication "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters." It contains the datasets and the code used to render optimized Parallel Coordinate Plots. We used the following 36 datasets for our experiments, which we describe on a per-file basis. All datasets are... |
Mar 6, 2023 - Data Analytics in Engineering
Lißner, Julian, 2023, "Microstructure feature engineering data", https://doi.org/10.18419/DARUS-3366, DaRUS, V1
The dataset contains image data of periodic microstructural representative volume elements (RVE), as well as the effective heat conductivity for multiple phase contrasts. Various features and feature descriptors (explained in the related publication) are provided, as well as the computation thereof. The features were used in a machine learning regr... |
