-
allmin: A Reduced Human All-Body Model
A reduced all-body model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. This allmin model... -
Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
This data set contains code used to generate figures and tables in our paper "Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent". The code is also available... -
arm26: A Human Arm Model
An arm model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. This arm26 model consists of a... -
Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator
This folder contains the code for the aMR-PC toolbox by Ilja Kröker in the version used for the code in GALMAP_code. This toolbox was also used for Kröker et al. 2022 Link to... -
Data for "VisRecall: Quantifying Information Visualisation Recallability via ...
Despite its importance for assessing the effectiveness of communicating information visually, fine-grained recallability of information visualisations has not been studied... -
Thermoelastic simulations of 3d microstructures
This repository acts as an extension and data source to the adaptive thermomechanical homogenization scheme implemented in... -
gspine: A Human Spine Model Built Using Literature Data
A fully articulating human spine model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. The... -
Replication Data for: A mass-conserving sparse grid combination technique wit...
Replication data for advection, Landau damping, and two-stream instability experiments with mass-conserving basis functions (vs hat functions) in the combination technique. The... -
Replication Data for: "Scaling the Plasma Simulation while Conserving the Mas...
Data to replicate the run times for comparing different combination technique basis functions' performance. To be presented at the poster session at PASC 2022. The data... -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning f...
This dataset contains code and data for our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to reproduce the results, to... -
preCICE Distribution Version v2202.0
The preCICE distribution is the larger ecosystem around preCICE, which includes the core library, language bindings, adapters for popular solvers, tutorials, and vagrant files... -
Supplemental Material for the paper : Accessibility for Color Vision Deficien...
Study data and supplemental material for the paper- Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures presented at CHI... -
Identification data for Linear Direct Drive Forces compensation
Linear direct drive forces are identified for compensation, where a linear direct drive is mounted in parallel to a ball screw feed drive axis. Please refer to Readme.md... -
Test Setup of Turbine Blade Data Mapping
Input data, scripts, and results of the data mapping tests of section 2.2 of "Chourdakis et al., preCICE v2 - A Sustainable and User-Friendly Coupling Library, 2022". Refer to... -
Human Occupant Motion in Pre-Crash Scenario
This dataset provides simulation results from a high-fidelity human body model in a pre-crash scenario as well as a surrogate model to approximate those simulation results. The... -
Replication Data for: Uncertainty-Aware Principal Component Analysis
This dataset contains the source code for uncertainty-aware principal component analysis (UA-PCA) and a series of images that show dimensionality reduction plots created with... -
Electronic Supporting Information and Data for: Simulations Explain the Swell...
Electronic supporting information, simulation scripts, simulation data and plotting scripts for the paper "Simulations Explain the Swelling Behavior of Hydrogels with... -
PyPlant: A Python Framework for Cached Function Pipelines
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... -
Electronic Supporting Information and Data for: The pH-dependent Swelling of ...
Electronic supporting information, simulation scripts, simulation data and plotting scripts for the paper "The pH-dependent Swelling of Weak Polyelectrolyte Hydrogels Modeled at... -
Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similar...
We train a self-supervised siamese model that enables querying for similar behavior on spatiotemporal volumes. Here we provide the code and data needed to reproduce the...