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Replication Data for: Rayleigh invariance allows the estimation of effective ...
This dataset features both data and code related to the research article titled "Rayleigh Invariance Enables Estimation of Effective CO2 Fluxes Resulting from Convective... -
Code for training and using the spray 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... -
Timber Column Slab Solver
This dataset contains an agent-based exploration of the design space for modular slab and column systems. The primary objective is to equip designers with the ability to... -
Replication Code for: Error Analysis of Randomized Symplectic Model Order Red...
This dataset includes the code to reproduce the results from the paper titled "Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems". In this... -
UNITE Toolbox
UNITE Toolbox Unified diagnostic evaluation of scientific models based on information theory The UNITE Toolbox is a Python library for incorporating Information Theory into data... -
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... -
Periodic Trajectories of a Passive One-Legged Hopper
General The one-legged hopper depicted in hooper.png is energetically conservative. The state of the system is given by the horizontal position (x), the vertical position (y),... -
Processes data and code for Dynamics of Lagrangian Sensor Particles
This repository entails the data and Pythoncode for the publication "Dynamics of Lagrangian Sensor Particles: The Effect of Non-Homogeneous Mass Distribution" in the journal... -
Replication Data for: High-resolution cw laser spectroscopy of long-lived Ryd...
This dataset holds all measurement data, as well as the evaluation and plotting scripts to replicate all figures of the paper. Please refer to the README.md file for more... -
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 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: A systematic DNS approach to isolate wall-curvature effects in spat...
Spanwise [z] and temporal [t] averaged turbulent fields of four direct numerical simulations (DNS) of a turbulent boundary layer (TBL) calculated using the code NS3D. Datasets... -
Getting the right clones in an automated manner: an alternative to sophistica...
In recent years, the Design-Build-Test-Learn (DBTL) cycle has become a key concept in strain engineering. Modern biofoundries enable automated DBTL cycling using robotic... -
biphasic-kinematic-growth
This dataset contains the code and produced result files for the investigations presented in Suditsch et al. (DOI-LINK). In this work a biphasic model in the framework of the... -
Coupled thermo-mechanical simulation results of a finite element discbrake
Simulation Results of a Finite Element Discbrake The finite element model describes an academic representation of a heated discbrake. It is implemented in the commercial... -
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... -
Replication Data for: Emergence of Chemotactic Strategies with Multi-Agent Re...
Scripts used in the experiments and analysis presented in the paper. -
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... -
Replication Data for: Compositio Prompto: An Architecture to Employ Large Lan...
A classic, central Service-Oriented Computing (SOC) challenge is the service composition problem. It concerns solving a user-defined task by selecting a suitable set of... -
Scripts and data for "Calculation of 1H-NMR relaxation rates from a model uni...
Simulations and data analysis scripts for the publication "Calculation of 1H-NMR relaxation rates from a model united-atom alkanes using reverse coarse-graining". Within...
