-
Supplementary material for "Influence of water content on thermophysical prop...
This dataset contains force field files in GROMACS format accompanying the mentioned publication. The topology file is given for one specific composition and can be adapted by... -
Datasets: 6 Heat Pumps, Simulation - Raw + Prepared
This dataset serves as training data for modeling the temperature field emanating from several open loop groundwater heat pumps (six heat pumps, randomly placed). It is... -
Models and Prepared Datasets for LG-CNN
Models trained with Heat Plume Prediction and datasets prepared with Heat Plume Prediction into reasonable format, reduced set of in/outputs, 2D, normalization used to train... -
SFB/Transregio 161 Data Management Plan 2023-2027
The participating universities in SFB/Transregio 161 acknowledge the general importance of re-search data management as a vital issue for all of their work and provide... -
Supplemental Material for: Testing the Test: Observations When Assessing Visu...
These documents contain supplemental material for the paper "Testing the Test: Observations When Assessing Visualization Literacy of Domain Experts" which was conditionally... -
Supplementary Material for Uncertainty-aware Spectral Visualization
In this supplemental material, we provide supplemental information (PDF document with derivations of the results presented in the paper and two additional use cases) and the... -
ApHIN - Autoencoder-based port-Hamiltonian Identification Networks (Software ...
Software package for data-driven identification of latent port-Hamiltonian systems. Abstract Conventional physics-based modeling techniques involve high effort, e.g.~time and... -
Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data...
This dataset contains the supplemental material for "Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions". The contents and usage of this dataset... -
Knowledge Graph Generator
Code and experiment results for a synthetic knowledge graph generator. The generator receives a set of rules, with an expected body support and support, and returns a knowledge... -
VQA-MHUG
We present VQA-MHUG - a novel 49-participant dataset of multimodal human gaze on both images and questions during visual question answering (VQA), collected using a high-speed... -
Supplemental Material for the Paper: Is it Part of Me? Exploring Experiences ...
Supplemental Material for the paper titled: " Is it Part of Me? Exploring Experiences of Inclusive Avatar Use For Visible and Invisible Disabilities in Social VR" accepted for... -
Linked RDF graphs of an architectural and structural representation of a timb...
This dataset provides a collection of semantically enriched RDF graphs representing both architectural and structural aspects of a timber structure. The data is organized into... -
Floor Type Detection Dataset
Dataset for Floor Type Detection of the Robot Dog Unitree Go1 Edu. Details can be found in the seperate report. !!Privacy Statement!! This dataset is made available for... -
DuMux 3.9.0
Release 3.9.0 of DuMux, DUNE for Multi-{Phase, Component, Scale, Physics, ...} flow and transport in porous media. DuMux is a free and open-source simulator for flow and... -
Results for pseudo-3D Stokes simulations with a geometry-informed drag term f...
Content: This data set includes all the necessary input data to fully replicate the benchmarks and applications in Krach et al.(2024). In addition, the results for all solvers... -
eSPARQL Implementation
This project contains the code of an implementation of the eSPARQL language, which extends SPARQL-star with a `FROM BELIEF` that allows an easy formulation of epistemic queries.... -
Code for Ultrahyperbolic Knowledge Graph Embeddings
This is a Pytorch implementation of the paper Ultrahyperbolic Knowledge Graph Embeddings published in KDD 2022. This code is used to reproduce the experiments of the method... -
Data for: HNC: Leveraging Hard Negative Captions towards Models with Fine-Gra...
Image-Text-Matching (ITM) is one of the defacto methods of learning generalized representations from a large corpus in Vision and Language (VL). However, due to the weak... -
Code for Pseudo-Riemannian Graph Convolutional Networks
This dataset is the official implementation of Pseudo-Riemannian Graph Convolutional Networks in PyTorch, based on HGCN implementation. This code is used to reproduce the... -
Code and benchmarks for geometry-informed drag term computation for pseudo-3D...
Content: This data set includes snapshots of the code used to compute the benchmarks and applications in Krach et al.(2024). All software tools provided enable the user to...
