201 to 210 of 2,118 Results
Nov 21, 2025 - DL Image Segmentation Database
Jose, Basil; Geigle, Klaus Peter; Hampp, Fabian, 2025, "QoI - Soot filaments", https://doi.org/10.18419/DARUS-5180, DaRUS, V2
This dataset contains the database of soot filaments extracted from PIV (Mie scattering) measurements, CFD simulations and generative models. The database is one subclass utilised in the generation of synthetic training data via domain randomisation. The resulting dataset is subsequently used for training of DL-based image segmentation models. For... |
Nov 21, 2025 - DL Image Segmentation Database
Jose, Basil; Geigle, Klaus Peter; Hampp, Fabian, 2025, "QoI - Tracer particles", https://doi.org/10.18419/DARUS-5181, DaRUS, V2
This dataset contains the database of image snippets of dense clusters of PIV tracer particles (i.e. Mie scattering) marking the reactants within sooting flame measurements in an RQL-type combustor. The database is one subclass utilised in the generation of synthetic training data via domain randomisation. The resulting dataset is subsequently used... |
Nov 20, 2025 - Jose et al. MLST 2025 Soot detection
Jose, Basil; Geigle, Klaus Peter; Hampp, Fabian, 2025, "Jose et al. MLST 2025 - Code, Data and Models", https://doi.org/10.18419/DARUS-5512, DaRUS, V1
This dataset hosts the code, data and models needed for replication of the work mentioned in Jose et al. MLST 2025. In the paper, an ablation study is conducted to delineate the effects of domain randomisation parameters of synthetically generated training data on the segmentation accuracy. The best model is used to extract high-level statistics fr... |
Nov 19, 2025 - EXC IntCDC Research Project 20 'Knowledge Representation for Multi-Disciplinary Co-Design'
Elshani, Diellza; Hernández, Daniel; Nakhaee, Ali; Arrascue Ayala, Victor Anthony; Staab, Steffen; Wortmann, Thomas, 2025, "Dataset for geof3D: 3D SPARQL Geometry Functions, Test Artefacts, Queries, and Evaluation Results", https://doi.org/10.18419/DARUS-5535, DaRUS, V1, UNF:6:bib2aj4ariTAlxIRIW8MnA== [fileUNF]
This dataset accompanies the paper “geof3D: SPARQL Geometrical Functions for Co-Designing Buildings” and contains all resources required to reproduce the experiments, evaluations, and use cases presented in the work. It includes the full set of SPARQL extension functions used for 3D geometric operations, a collection of 3D geometries in Well-Known... |
Nov 17, 2025 - Center for Higher Education and Lifelong Learning
Braun, Thorsten; Wolfenstetter, Lea-Marie, 2025, "Interview Transcripts on Conditions For Study Success (WiSe 2024/25)", https://doi.org/10.18419/DARUS-5194, DaRUS, V1
This dataset contains raw interview data (transcripts) from a seminar on study success requirements ("Lernerfolgsbedingungen im Hochschulstudium", Universität Stuttgart) in winter 2024/25. Students are narrating their experiences with a wide range of topics regarding their learning and study conditions, and their impact on study success.The intervi... |
Nov 17, 2025 - PN 1-X
Keim, Leon, 2025, "Atmospyre v1.0.0", https://doi.org/10.18419/DARUS-5531, DaRUS, V1
Release v1.0.0 of AtmosPyre. AtmosPyre is a flexible library for atmospheric measurements. Monitor CO₂, Radon, and more with an intuitive Python API. |
Nov 17, 2025 - SFB-TRR 161 A07 "Visual Attention Modeling for Optimization of Information Visualizations"
Wang, Yao; Bulling, Andreas, 2024, "SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data)", https://doi.org/10.18419/DARUS-3884, DaRUS, V3
Understanding the link between visual attention and user’s needs when visually exploring information visualisations is under-explored due to a lack of large and diverse datasets to facilitate these analyses. To fill this gap, we introduce SalChartQA - a novel crowd-sourced dataset that uses the BubbleView interface as a proxy for human gaze and a q... |
Nov 14, 2025 - Institute for Reactive Flows (IRST)
Shamooni, Ali, 2025, "Replication Data for: Super-resolution reconstruction of scalar fields from the pyrolysis of pulverised biomass using deep learning", https://doi.org/10.18419/DARUS-5519, DaRUS, V1
README Repository for publication: A. Shamooni et al., Super-resolution reconstruction of scalar fields from the pyrolysis of pulverised biomass using deep learning, Proc. Combust. Inst. (2025) Containing torch_code The main Pytorch source code used for training/testing is provided in torch_code.tar.gz file. torch_code_tradGAN To compare with tradi... |
Nov 14, 2025 - SPP2422 Dataverse
Hohmann, Michael; Yiming, Adili, 2025, "Synthetic Deep Drawing Dataset", https://doi.org/10.18419/DARUS-5158, DaRUS, V1
The dataset comprises 228 deep drawing tools with varying parametric geometries and blank holder forces, resulting in a total of 2280 numerical simulations. The parameter ranges are: Radius 1: 5–8 mm Radius 2: 20–55 mm Height: 25–50 mm Clearance: 1.1–1.4 mm Angle: 0–10° Blank holder force: 15–40 kN The tools are stored as meshes (step-file) and poi... |
Nov 13, 2025 - FoKUS - Research Data Management at the University of Stuttgart
Meyer Broyn, Adriano, 2025, "Source Code of DA-FDM API for semi-automated subject indexing", https://doi.org/10.18419/DARUS-5505, DaRUS, V1
This is the source code for the DA-FDM API. The API provides access to a backend model that generated automated subject indexing suggestions for research data based on textual input such as full texts, abstracts, or description fields. The API itself handles the communication and data exchange, while the underlying model performed the semantic anal... |
