71 to 80 of 84 Results
Landsgesell, Jonas; Beyer, David; Hebbeker, Pascal; Košovan, Peter; Holm, Christian, 2022, "Electronic Supporting Information and Data for: The pH-dependent Swelling of Weak Polyelectrolyte Hydrogels Modeled at Different Levels of Resolution", https://doi.org/10.18419/darus-2237, DaRUS, V1, UNF:6:WWoVw/rOePmKZuTyIQul0A== [fileUNF]
Electronic supporting information, simulation scripts, simulation data and plotting scripts for the paper "The pH-dependent Swelling of Weak Polyelectrolyte Hydrogels Modeled at Different Levels of Resolution". In this work, we investigate the swelling properties of weak (pH-resp... |
Jan 24, 2022 - PN 6-6
Tkachev, Gleb, 2022, "PyPlant: A Python Framework for Cached Function Pipelines", https://doi.org/10.18419/darus-2249, DaRUS, V1
PyPlant is a simple coroutine-based framework for writing data processing pipelines. PyPlant's goal is to simplify caching of intermediate results in the pipeline and avoid re-running expensive early stages of the pipeline, when only the later stages have changed. |
Jan 4, 2022 - Collaborative Research Center Transregio 75 (SFB-TRR 75)
Sontheimer, Henrik; Stephan, Peter; Gambaryan-Roisman, Tatiana, 2021, "Videos of the Numerical Simulation of Drop Impact onto Heated Walls"
The videos show exemplary results of the numerical simulation of the drop impact onto heated walls. Five different drop impact configurations are shown: the single drop impact, the vertical coalescence during the sessile, spreading and receding phase of the initial drop and the i...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Würth, Ines; Wigger, Maayen; Berlinger, Philipp, 2022, "Scanning wind lidar dataset from the alpha ventus wind farm", https://doi.org/10.18419/darus-2298, DaRUS, V1
In the nationally funded project ParkCast new methods for short-term power prediction for offshore wind farms will be developed, optimized and evaluated. The power forecasts focus on the time range up to 60 minutes with high temporal resolution. The aim is to significantly improv... |
Dec 2, 2021 - Density-driven dissolution of CO2 in karst water
Class, Holger; Bürkle, Pascal; Trötschler, Oliver; Zimmer, Martin; Strauch, Bettina, 2021, "Data for: On the role of density-driven dissolution of CO2 in karstification", https://doi.org/10.18419/darus-2040, DaRUS, V1, UNF:6:MLmw+UrdmPEjg9Db5HtPDw== [fileUNF]
Summary: Data of the "density-driven dissolution of CO2 in karst water" column experiment. A laboratory column was filled with tapwater (water level 5,55 m) and exposed it to an elevated gaseous CO2-concentration, roughly 50 times the current atmospheric concentration (20000 +/-... |
Franke, Max; Knabben, Moritz; Lang, Julian; Koch, Steffen; Blascheck, Tanja, 2021, "Data for: A Comparative Study of Visualizations for Multiple Time Series", https://doi.org/10.18419/darus-2134, DaRUS, V1, UNF:6:jaMGOfSI5L/wPcnoJNKcaQ== [fileUNF]
Study data of comparative study of visualizations for multiple time series including anonymized participant data from Prolific, data set generation scripts, source code for the study framework, and analysis scripts. This repository also serves as supplemental material for the pub... |
Oct 12, 2021 - Collaborative Research Center Transregio 75 (SFB-TRR 75)
Schmidt, Johannes Benedikt; Hofmann, Julian; Tenzer, Fabian; Breitenbach, Jan; Tropea, Cameron; Roisman, Ilia, 2020, "Dataset: Thermosuperrepellency of a hot substrate caused by vapour percolation"
The authors gratefully acknowledge the Deutsche Forschungsgemeinschaft for its financial support in the framework of the Collaborative Research Center SFB-TRR 75, project number 84292822 and the Industrieverband Massivumformung e.V..This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Oct 7, 2021 - Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach
Jaust, Alexander; Schmidt, Patrick, 2021, "Replication Data for: Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach", https://doi.org/10.18419/darus-1778, DaRUS, V1
This repository contains simulation data and postprocessing scripts used in the publication: Schmidt, P., Jaust, A., Steeb, H., Schulte, M.: "Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach". Computational Geosciences (2022). do... |
Chourdakis, Gerasimos; Davis, Kyle; Rodenberg, Benjamin; Schulte, Miriam; Simonis, Frédéric; Uekermann, Benjamin; Abrams, Georg; Bungartz, Hans-Joachim; Cheun Yau, Lucia; Desai, Ishaan; Eder, Konrad; Hertrich, Richard; Lindner, Florian; Rusch, Alexander; Sashko, Dmytro; Schneider, David; Totounferoush, Amin; Volland, Dominik; Vollmer, Peter; Ziya Koseomur, Oguz, 2021, "preCICE Distribution Version v2104.0", https://doi.org/10.18419/darus-2125, DaRUS, V1
The preCICE distribution is the larger ecosystem around preCICE, which includes the core library, language bindings, adapters for popular solvers, tutorials, and vagrant files to prepare a virtual machine image. The compressed source files of this data set are only meant to archi... |
Sep 10, 2021 - PN 6-4
Munz, Tanja; Garcia, Rafael; Weiskopf, Daniel, 2021, "Visual Analytics System for Hidden States in Recurrent Neural Networks", https://doi.org/10.18419/darus-2052, DaRUS, V1
Source code of our visual analytics system for the interpretation of hidden states in recurrent neural networks. This project contains source code for preprocessing data and the visual analytics system. Additionally, we added precomputed data for immediate use in the visual analy... |
