-
Replication Data for: Emergence of Chemotactic Strategies with Multi-Agent Re...
Scripts used in the experiments and analysis presented in the paper. -
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... -
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... -
Replication Data for: SCAP 2024 Robotic Wiring Harness Bin Picking
Replication Data for: SCAP 2024 Robotic Wiring Harness Bin Picking. 4K Images from 3 Camera Perspectives including Annotation data for Reproduction of the Learning for the ML... -
Replication Code for: Greedy Kernel Methods for Approximating Breakthrough Cu...
This dataset includes the code to reproduce the results from the paper titled "Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous... -
Code for training and using the droplet segmentation models
This dataset contains the necessary code for using our spray segmentation model used in the paper, Machine learning based spray process quantification. More information can be... -
Replication Code for: Uncertainty Quantification and Propagation in Surrogate...
This code allows to replicate key experiments from our paper: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference. For further details, please... -
Data-driven analysis of structural instabilities in electroactive polymer bil...
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... -
Replication Data for: Learning Compensation of the State-Dependent Transmissi...
This dataset contains all experimental data that is shown within the paper "Learning Compensation of the State-Dependent Transmission Errors in Rack-and-Pinion Drives".... -
Data for: Dynamically stabilized phases with full ab initio accuracy: Thermod...
Data for the publication, Dynamically stabilized phases with full ab initio accuracy: Thermodynamics of Ti, Zr, Hf with a focus on the hcp-bcc transition, Phys. Rev. B 108,... -
Data for: Performance of two complementary machine-learned potentials in mode...
Data for the publication "Performance of two complementary machine-learned potentials in modelling chemically complex systems", npj. Comp. Mat. This data set contains the... -
Replication Code for: Meta-Uncertainty in Bayesian Model Comparison
This dataverse contains the code for the paper Meta-Uncertainty in Bayesian Model Comparison: https://doi.org/10.48550/arXiv.2210.07278 Note that the R code is structured as a... -
Supplemental Material for "Visual-Explainable AI: The Use Case of Language Mo...
Supplemental material for the poster "Visual-Explainable AI: The Use Case of Language Models" published at the International Conference on Data-Integrated Simulation Science... -
Data for: "Scanpath Prediction on Information Visualizations"
We propose Unified Model of Saliency and Scanpaths (UMSS) - a model that learns to predict multi-duration saliency and scanpaths (i.e. sequences of eye fixations) on information... -
Data for: Thermodynamic properties on the homologous temperature scale from d...
Data for the publication Thermodynamic properties on the homologous temperature scale from direct upsampling: Understanding electron-vibration coupling and thermal vacancies in... -
Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Pro...
This dataset contains diffusion-sorption data, generated with numerical simulation based on three different sorption isotherms, namely the linear, Freundlich, and Langmuir... -
Data for: High-accuracy thermodynamic properties to the melting point from ab...
Data for the publication High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials, npj Comput. Mater., DOI:... -
Image enhancement code: time-resolved tomograms of EICP application using 3D ...
This dataset contains the codes to reproduce the results of "Time resolved micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in sintered glass bead... -
PDEBench Pretrained Models
This dataset contains the pretrained baseline models, namely FNO, U-Net, and PINN. These models are trained on different PDEs, such as 1D advection, 1D Burgers', 1D and 2D... -
PDEBench Datasets
This dataset contains benchmark data, generated with numerical simulation based on different PDEs, namely 1D advection, 1D Burgers', 1D and 2D diffusion-reaction, 1D...