Metrics
3,772,736 Downloads
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

81 to 90 of 381 Results
Nov 5, 2024 - PN 6-3
Holzmüller, David; Grinsztajn, Léo; Steinwart, Ingo, 2024, "Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data [NeurIPS, arXiv v2]", https://doi.org/10.18419/DARUS-4555, DaRUS, V1
This dataset contains code and data for our paper "Better by default: Strong pre-tuned MLPs and boosted trees on tabular data", specifically, the NeurIPS version which is also the second version on arXiv. The main code is provided in pytabkit_code.zip and contains further documentation in README.md and the docs folder. The main code is also provide...
Nov 5, 2024 - Surrogate models for groundwater flow simulations
Miliczek, Pascal, 2024, "Models and Prepared Datasets for Modeling Heat Plumes of Heat Pumps with varying Flow Directions", https://doi.org/10.18419/DARUS-4530, DaRUS, V1
Prepared datasets and models for modeling orientational variation in heat plume prediction in groundwater. Models were trained with 1HP NN equivariance. File name explanation: 4d The (used) dataset encompasses only cardinal flow directions. rd The (used) dataset encompasses random flow directions in the 2D plane. 1000dp The (used) dataset consists...
Nov 5, 2024 - Surrogate models for groundwater flow simulations
Pelzer, Julia, 2024, "Raw Data for Modeling Heat Plumes of Heat Pumps with varying Flow Directions", https://doi.org/10.18419/DARUS-4531, DaRUS, V1
Raw datasets for modeling orientational variation in heat plume prediction in groundwater. Used with 1HP NN equivariance. File name explanation: 4d The dataset encompasses only cardinal flow directions. rd The dataset encompasses random flow directions in the 2D plane. 1000dp The dataset consists of 1000 data points.
Nov 5, 2024 - Institut für Strahlwerkzeuge
Schneller, Lukas; Henn, Manuel; Buser, Matthias, 2024, "Setup for High-Speed Synchrotron X-Ray Imaging of Laser Drilling at the DESY", https://doi.org/10.18419/DARUS-4348, DaRUS, V1
The image shows the High-Speed Synchrotron X-Ray Imaging setup at the Deutsches Elektronen Synchrotron (DESY) in Hamburg. It is used to capture X-ray imaging sequences of a laser drilling process with an ultrafast Yb:YAG laser with an output wavelength of 1030 nm. The polarization could be adjusted by two λ/4 and λ/2 waveplates which were placed be...
Nov 4, 2024 - Institute of Thermodynamics and Thermal Process Engineering
Högler, Marc; Hansen, Niels, 2024, "Supplementary material for "The Effects of Surfaces and Confinement on Formic Acid Dehydrogenation Catalyzed by an Immobilized Ru-H Complex: Insights from Molecular Simulation and Neutron Scattering"", https://doi.org/10.18419/DARUS-3584, DaRUS, V1, UNF:6:UUPJqhG8eXR2naMF0KSYGQ== [fileUNF]
This dataset contains simulation input files in GROMACS format accompanying the mentioned publication. Structure, topology, and simulation parameter-files (directory mdp) are provided for bulk simulations of pure dioxane and formic acid as well as mixture of both in pore and bulk simulation. The pore simulation is divided into three steps, an energ...
Nov 4, 2024 - EXC IntCDC Research Project 3 'Co-Design of Multi-Storey Timber Building Systems for Building Stock Extension'
Müller, Theresa; Krtschil, Anna; Leistner, Philip, 2024, "Replication Data for: Structural and acoustic behavior of a timber slab with wooden tuned mass dampers", https://doi.org/10.18419/DARUS-3995, DaRUS, V1, UNF:6:62r5i2gvHXdCEYYBtRDx4w== [fileUNF]
This dataset contains the data of literature as well as the data of the experimental modal analysis of the scaled timber plate without and with tuned mass damper (TMD) that is described in the related publication. The dataset contains frequency response functions, quantified by the mobility Y. It is used to determine the acoustic transmission behav...
Modelling(Universität Stuttgart)
Nov 4, 2024Institute of Biochemical Engineering
Oct 29, 2024 - Materials Design
Ou, Yongliang; Ikeda, Yuji; Scholz, Lena; Divinski, Sergiy; Fritzen, Felix; Grabowski, Blazej, 2024, "Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials", https://doi.org/10.18419/DARUS-4510, DaRUS, V1
The data in this repository support the findings presented in the article "Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials" by Ou et al. The repository contains the training sets, the fitted machine-learning interatomic potentials (MTPs), and the relaxed bulk and gr...
Oct 29, 2024 - Rebekka Neumann Dataverse
Neumann, Rebekka; Wortmann, Andreas; Zhang, Jinxi; Chen, Shengjian Patrick; Ellwein, Carsten; Klingel, Lars, 2024, "Replication Package for "Digital Twins for Machine Tools: A Systematic Mapping Study"", https://doi.org/10.18419/DARUS-4542, DaRUS, V1
Replication package for the paper "Digital Twins for Machine Tools: A Systematic Mapping Study". It includes the meta data of all considered literature.
Oct 28, 2024 - Bioprocess
Regett, Niklas; Marcel Dieterle; Fleur Peters; Max Deuring; Kaja Stegmaier; Teleki, Attila; Takors, Ralf, 2024, "Assessing nucleotide sugar donors inside the Golgi apparatus as a prerequisite for unravelling culture impacts on glycoforms of antibodies", https://doi.org/10.18419/DARUS-4541, DaRUS, V1, UNF:6:sZ6QKMB2+sxpW+LZIhLK2Q== [fileUNF]
The dataset presented here supplements the publication titled “Assessing Nucleotide Sugar Donors Inside the Golgi Apparatus as a Prerequisite for Unraveling Culture Impacts on Glycoforms of Antibodies.” The study emphasizes the importance of glycosylation in biopharmaceuticals and unravels a novel, integrative workflow for absolute quantification o...
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.