Thieltges, Sascha

This dataset provides the numerical results and optimization routines used to harmonize different Jiles–Atherton (JA) hysteresis model variants. The goal of the study was to determine whether parameter sets of one JA formulation can be transformed...

Thieltges, Sascha

This repository provides the full source code and datasets used to compare multiple Jiles–Atherton (JA) hysteresis model variants, including Jiles86, Jiles92, Jiles94, Bergqvist96, Annakkage00, Cheng18, and Xue22. The material contains the numeric...

Thieltges, Sascha

The dataset includes a COMSOL model that replicates the experimental setup used for characterizing ferromagnetic hysteresis. Based on this model, synthetic training data were generated and used to create a surrogate model within COMSOL. This surro...

Henneke, Lukas

This dataset supplements the dataset "RF Communication Signal Dataset for Wireless Protocol Recognition based on Deep Embeddings (Part I)" (https://fordatis.fraunhofer.de/handle/fordatis/460) and is part 3/3 of the evaluation data. The file "iqeng...

Henneke, Lukas

This dataset supplements the paper "Approaching Domain Generalisation with Embeddings for Robust Discrimination and Recognition of RF Communication Signals" and is composed as follows: (1) The file "synthetic.zip" contains a total of 4,000 synt...

Li, Rui

Watson, Warren; Wolken-Möhlmann, Gerrit et al.

These datasets accompany the WES preprint: Watson, Wolken-Möhlmann & Gottschall (2025), Evaluating the Impact of Motion Compensation on Turbulence Intensity Measurements from Continuous-Wave and Pulsed Floating Lidars (DOI: 10.5194/wes-2025-45). ...