411 to 420 of 1,833 Results
Feb 27, 2024 - EXC IntCDC Research Project 29 'COLife: More-Than-Human Perspective to Codesign'
Davidova, Marie; Behnam, Hananeh; Valverde Rojas, María Claudia; Juarez, Diego; Grgurovic, Nikolina; Herlevi, Linnea; Zinder, Dorian; Bortone, Lorenzo; Belli, Fatma Sultan; Gado, Nanis, 2024, "COLife_03 - Gigamap and DIY", https://doi.org/10.18419/DARUS-3986, DaRUS, V1
The dataset presents the more-than-human intervention, its codesigned gigamap that leads to it and DIY recipes for its reproduction. The dataset was achieved during the winter semester 2023/24. The gigamap was in feedback loops codesigned digitally in the Miro platform and analogue on the printouts. The DIY recipe is foldable to the user's pocket a... |
Feb 27, 2024 - EXC IntCDC Research Project 29 'COLife: More-Than-Human Perspective to Codesign'
Davidova, Marie; Valverde Rojas, María Claudia; Behnam, Hananeh; Fischer, Leonie Katharina; Fadini, Thomas; Haueise, Jannis; Hauke, Adriana; Florescu, Matei; Ferrari, Valentina; Ros, Ana Patricia; Vujovic, Nadja; Knutelsky, Samuel; Wosiak, Olga; Candìa, Marcelo, 2024, "COLife_01 - Gigamap and DIY Files", https://doi.org/10.18419/DARUS-3983, DaRUS, V1
The data cover codesigned gigamap and parametric and analogue DIY files of BioDiveIn more-than-human intervention. The gigamap was a product of digital participation in the Miro platform, updated by analogue workshops with stakeholders in feedback loops. The data were produced in the winter semester 2022/23 as a part of the design studio 'COLife: M... |
Feb 26, 2024 - Modelling, Simulation and Optimization for Agonist-Antagonist Myoneural Interface Surgeries
Homs Pons, Carme; Lautenschlager, Robin, 2024, "Replication Data for: Coupled Simulations and Parameter Inversion for Neural System and Electrophysiological Muscle Models", https://doi.org/10.18419/DARUS-4031, DaRUS, V1
This dataset allows to reproduce the results from the paper "Coupled Simulations and Parameter Inversion for Neural System and Electrophysiological Muscle Models" submitted to GAMM Mitteilungen in September 2023. Find more information about the structure of the dataset and the steps to reproduce the results in the readme.md file. |
Feb 26, 2024 - Institute of Applied Analysis and Numerical Simulation
Nottoli, Michele; Herbst, Michael F.; Mikhalev, Aleksandr; Jha, Abhinav; Lipparini, Filippo; Stamm, Benjamin, 2024, "Replication Data for: "ddX: Polarizable Continuum Solvation from Small Molecules to Proteins"", https://doi.org/10.18419/DARUS-4030, DaRUS, V1
Data for reproducibility of the numerical simulations of the research paper "ddX: Polarizable Continuum Solvation from Small Molecules to Proteins". |
Feb 26, 2024 - Institute of Flight Mechanics and Controls
Cunis, Torbjørn, 2024, "Source code and Numerical Examples for Decomposed Quasiconvex Optimization with Application to Generalized Cone Problems", https://doi.org/10.18419/DARUS-4024, DaRUS, V1
This dataset contains source code and numerical examples for quasiconvex sum-of-squares problems via decomposed optimization. Usage Notes The files in the examples folder correspond to the numerical examples provided in Section 6 of the accompanying publication. Before running the examples, Download required software from the links below; or unpack... |
Feb 22, 2024 - A02: Advanced modelling concepts for coupling free flow with porous-media flow
Gläser, Dennis, 2024, "Results for Stokes-Darcy mortar method", https://doi.org/10.18419/DARUS-3599, DaRUS, V1
This dataset contains the results of the examples shown in the publication #TODO: add doi once accepted#. The first one investigates the orders of convergence with respect to the mesh size for different element types, as well as the efficiency of the interface preconditioner. The second example simulates flow through a channel around a porous obsta... |
Feb 22, 2024 - A02: Advanced modelling concepts for coupling free flow with porous-media flow
Gläser, Dennis, 2024, "Dumux code for Stokes-Darcy mortar method", https://doi.org/10.18419/DARUS-3598, DaRUS, V1
This dataset contains the source code for the examples shown in Boon, W.M., Gläser, D., Helmig, R. and Yotov, I. A mortar method for the coupled Stokes-Darcy problem using the MAC scheme for Stokes and mixed finite elements for Darcy. Comput Geosci (2024). https://doi.org/10.1007/s10596-023-10267-6 with the open-source simulator Dumux. The first on... |
Feb 21, 2024 - Analytic Computing
Asma, Zubaria; Hernández, Daniel; Galárraga, Luis; Flouris, Giorgos; Fundulaki, Irini; Hose, Katja, 2024, "Code and benchmark for NPCS, a Native Provenance Computation for SPARQL", https://doi.org/10.18419/DARUS-3973, DaRUS, V1
Code for the implementation and benchmark of NPCS, a Native Provenance Computation for SPARQL. The code in this dataset includes the implementation of the NPCS system, which is a middleware for SPARQL endpoints that rewrites queries to queries that annotate answers with provenance polynomials (i.e., how-provenance data). The translation rules imple... |
Feb 16, 2024 - PN3-5
Sriram, Siddharth, 2024, "Data-driven analysis of structural instabilities in electroactive polymer bilayers based on a variational saddle-point principle: Datasets and ML codes", https://doi.org/10.18419/DARUS-3881, DaRUS, V1
The datasets and codes provided here are associated with our article entitled "Data-driven analysis of structural instabilities in electroactive polymer bilayers based on a variational saddle-point principle". The main idea of the work is to develop surrogate models using the concepts of machine learning (ML) to predict the onset of wrinkling insta... |
Feb 16, 2024 - Analytic Computing
Seifer, Philipp; Hernández, Daniel; Lämmel, Ralf; Staab, Steffen, 2024, "Code for From Shapes to Shapes", https://doi.org/10.18419/DARUS-3977, DaRUS, V1
This dataset contains the implementation code for an algorithm to infer SHACL shapes that the graph returned by an SPARQL CONSTRUCT query must satisfy if the input satisfies a given set of SHACL shapes. This dataset also includes an evaluation for the algorithm. The algorithm implemented in this dataset is proposed in the paper From Shapes to Shape... |
