21 to 30 of 3,065 Results
May 18, 2026 - Institute of Flight Mechanics and Controls
Chaquinga, Robinson; Palacios-Pérez, Jaime; Schaefer, Martin; Zábó, András, 2026, "JaguarID", https://doi.org/10.18419/DARUS-5954, DaRUS, V1, UNF:6:YeaI3LXzO6JYXqVeI3WjXQ== [fileUNF]
JaguarID dataset is a processed camera trap video dataset that shows the right side of 5 individual jaguars recorded on 19 day and night videos in dense forests. The dataset consists of: - 19 videos, 20-30 FPS (1_videos.zip) - extracted frames for all videos (2_frames.zip) - detection JSON files for all frames, for all videos (3_annotations.zip) -... |
May 17, 2026ISW Data Repository
The AssistVC project is researching an intelligent assistance system that compensates for missing components in an overall simulation model by using AI to search for suitable replacement models from an online library. The components used can then be integrated into the existing simulation model using a replacement control system that is also being... |
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... |
