1 to 10 of 2,109 Results
May 14, 2026 - Institute of Robust Power Semiconductor Systems
Haussmann, Simon, 2026, "THz Power Amplifiers - Measured Wideband Modulated Input-Output Datasets", https://doi.org/10.18419/DARUS-5816, DaRUS, V1
This dataset documents datasets for wideband time-domain input-output waveforms of THz Power Amplifiers. The dataset contains data from two devices under test: DUT#1 (Datasets A and B), a GaN D-Band PA, and DUT#2 (Datasets C and D), an InGaAs H-Band PA. Multiple modulation formats are documented for each dataset. Datasets A-C are acquired using a c... |
May 14, 2026 - 3rd Physics Institute
Körber, Jonathan, 2026, "Replication Data for "RF-free control of nuclear spins with color centers in silicon carbide"", https://doi.org/10.18419/DARUS-5965, DaRUS, V1, UNF:6:RhLGm/0TGAQ2CeNIGudwFA== [fileUNF]
CSV files to replicate the plotted data and fits from all figures of the manuscript "RF-free control of nuclear spins with color centers in silicon carbide". The axes and respective dimensions of the data are mentioned in the CSV files. Details about the interpretation of the data as well as the methods used to take the data can be found in the rel... |
May 13, 2026 - DL Image Segmentation Database
Jose, Basil; Greenblatt, Daniel; Lindstedt, Rune Peter; Hampp, Fabian, 2026, "Background - Signal-free OH-PLIF patches", https://doi.org/10.18419/DARUS-5962, DaRUS, V1
This dataset contains a curated database of signal-free background patches extracted from OH-PLIF measurements. These patches correspond to reactant-side image regions without OH signal and are retained to preserve the original experimental background characteristics of the measurement system. The database is utilised in the generation of synthetic... |
May 13, 2026 - DL Image Segmentation Database
Jose, Basil; Greenblatt, Daniel; Lindstedt, Rune Peter; Hampp, Fabian, 2026, "QoI - OH structures", https://doi.org/10.18419/DARUS-5961, DaRUS, V1
This dataset contains a curated database of OH structures extracted from OH-PLIF measurements. The database is utilised for the generation of synthetic, automatically annotated training data via physics-informed domain randomisation. The resulting synthetic dataset is subsequently used for training of DL-based semantic segmentation models for trans... |
May 13, 2026 - Jose et al. PROCI 2026 LIF Segmentation
Jose, Basil; Greenblatt, Daniel; Lindstedt, Rune Peter; Breicher, Adrian; Geyer, Dirk; Lammel, Oliver; Hampp, Fabian, 2026, "Code, Data and Models for “Transferable DL for in-situ validated LIF segmentation”", https://doi.org/10.18419/DARUS-5960, DaRUS, V1
This dataset provides the code, trained models, and supporting data needed to reproduce the work presented in Jose et al. 2026 on transferable deep-learning-based OH-LIF segmentation. The study trains a segmentation model on synthetically generated, auto-labelled OH-LIF images derived from a single source flame and validates its drop-in transferabi... |
May 13, 2026 - DL Image Segmentation Database
Jose, Basil; Hampp, Fabian, 2026, "QoI - Ligaments", https://doi.org/10.18419/DARUS-5541, DaRUS, V1
This dataset consists of a database of ligaments extracted from high-resolution shadowgraphy images in technical sprays. It serves as a subclass for generating synthetic training data via domain randomisation, which is subsequently used to train Deep Learning (DL) based image segmentation models. A more detailed description is provided in the corre... |
May 13, 2026 - Graduiertenkolleg 2543
Krauß, Franziska, 2026, "CystoFold: A Sparse Polygon Dataset for Bladder Tissue Fold Prediction", https://doi.org/10.18419/DARUS-5946, DaRUS, V1, UNF:6:4+bKjHpsod6mHuQ5LnPyYA== [fileUNF]
The CystoFold dataset is the first hand-labeled dataset for tissue fold formation prediction in urinary bladder endoscopy. It provides sparse pixel-wise polygon and rectangle annotations capturing the transition from smooth to folded bladder tissue across filling and emptying cycles, designed to support deformation-aware reconstruction pipelines an... |
May 12, 2026 - Institute for Modelling and Simulation of Biomechanical Systems
Nadler, Tobias; Stutzig, Norman; Schmitt, Syn, 2026, "3D models and Data for: "Synaptic symphony: orchestration of an explicit monosynaptic reflex arc for autonomous movements in a biorobotic leg"", https://doi.org/10.18419/DARUS-5919, DaRUS, V1, UNF:6:HwSTD+xILPdkGLgi2fDpeQ== [fileUNF]
This repository includes the data and the 3D models of the paper: "Synaptic symphony: orchestration of an explicit monosynaptic reflex arc for autonomous movements in a biorobotic leg" by Tobias Nadler, Norman Stutzig, Daniel Haeufle and Syn Schmitt. This dataset comprises experimental biomechanical, kinematic, and sensory data generated by trigger... |
May 11, 2026 - Surrogate models for groundwater flow simulations
Baratto, Thomas, 2026, "Trained Neural Networks on Simulated Data of Groundwater Heat Plume Characteristics", https://doi.org/10.18419/DARUS-5815, DaRUS, V2, UNF:6:UMWqR0dTYJ/r2z0j/MZJgw== [fileUNF]
Inference package for thermal plume prediction (v1.0.0). Contains pre-trained MLP and random network models, the ba-predict CLI, the csv data used to train the models obtained via simulation by Fabian Böttcher, sample input files, and a Dockerfile. CPU-only - no GPU required. Extract with: tar xzf ba-thermal-plume-v1.0.0.tar.gz && cd ba-thermal-plu... |
May 11, 2026 - CHOLife_TUHH_LSP_tracking
Rautenbach, Ryan, 2026, "Data and code for Enhancing Oxygen Mass Transfer in Unbaffled Stirred Tank Reactors through Counter-Rotating Coaxial Dual Impellers", https://doi.org/10.18419/DARUS-5953, DaRUS, V1, UNF:6:iMm7TyF3JRtgyPtf6vSsVQ== [fileUNF]
This dataset contains the experimental data, analysis scripts, and supplementary material associated with the publication “Enhancing Oxygen Mass Transfer in Unbaffled Stirred Tank Reactors through Counter-Rotating Coaxial Dual Impellers”. The repository includes oxygen mass transfer measurements, power input data, operating conditions, and image-ba... |
