121 to 130 of 131 Results
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. |
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 improve the temporal resolution and prediction quality of the park power in... |
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 +/- 5000 ppm). After stripping the water with ambient air, it was initiall... |
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 publication titled "A Comparative Study of Visualizations for Multiple Ti... |
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). doi:10.1007/s10596-021-10120-8. The three cases presented in the paper a... |
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 archive this specific version v2104.0 of the distribution. If you want to u... |
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 analysis system. The sub directories contain the following: dataPreparation... |
Jun 7, 2021 - Publications
Hirschmann, Steffen, 2021, "Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers", https://doi.org/10.18419/DARUS-1851, DaRUS, V1, UNF:6:WXqt4IDAIDGnJB9tcwMhdg== [fileUNF]
This dataset contains input data, scripts, etc. for replicating the numerical experiments in Steffen Hirschmann's dissertation. The data is prefixed with folders indicating the specific experiment as is the processing metadata. The experiments are: 00_periodicity_experiment: Experiment in Chapter 5.1. Agglomerate moves over boundary and we inspect... |
Burbulla, Samuel; Rohde, Christian, 2021, "Replication Data for: A Finite-Volume Moving-Mesh Method for Two-phase Flow in Fracturing Porous Media", https://doi.org/10.18419/DARUS-1712, DaRUS, V1, UNF:6:5SiZw47jNRaRUzSpL1A7Qg== [fileUNF]
This is the replication data for the publication "A Finite-Volume Moving-Mesh Method for Two-phase Flow in Fracturing Porous Media". This dataset contains the source code of the implementation and the raw data of the published results. |
Dec 15, 2020 - Visualisierungsinstitut der Universität Stuttgart
Hägele, David; Abdelaal, Moataz; Oguz, Ozgur S.; Toussaint, Marc; Weiskopf, Daniel, 2020, "Supplemental Material for Visualization of Nonlinear Programming for Robot Motion Planning", https://doi.org/10.18419/DARUS-1128, DaRUS, V1
Supplemental material for the paper "Visualization of Nonlinear Programming for Robot Motion Planning". It comprises a video and source code of a visual analytics system for analyzing constrained optimization runs. The video showcases the interactive features of the system by demonstrating two analysis scenarios. The source code includes the robot... |
