4926 research outputs found
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Nonlinear Viscoelasticity of Guar Gum-Modified Tri-ple-Network Hydrogels: Structure-Property Relationships
No full textThe data set accompanying the publication "Nonlinear Viscoelasticity of Guar Gum-Modified Triple-Network Hydrogels: Structure-Property Relationships
The PHOENIX/1D NewEra model atmosphere grid: Access software & GAIA DR4 synthetic spectra/colors
No full textSoftware to access NewEra spectrum files (DOI 10.25592/uhhfdm.16727) from python and an example reader.
get_NewEra_from_FDR.py get a single model from the data repository.
example_read_HSR_H5.py reads data from a single model h5 file.
list_of_available_NewEra_models.txt is a list of all available models, MD checksums, file sizes and download links.
NewEra_for_GAIA_DR4.tar Synthetic spectra, colors and BCs in GAIA DR4 format as tar file, includes Readme
An Interview About The History of Kachically in Bakau (NCAC_RDD_TAPE_0239A)
No full textno Audio available
Katchically
Alternative names: Janne
EXAVIS42 – Efficient methods for creation, feature extraction, and interactive visualization of isosurfaces of 3D volume data
No full textOur workflow of processing of 3D volume, geometric, and feature data consists of the following steps:
Preprocessing (filtering, resampling, denosing) of 3D volume data (here: result of CT)
Octree-based, compressed representation of isosurface and per-vertex data (EXA file format)
Triangulation of isosurface, implementing a manifold dual marching cube algorithm
Smoothing, feature extraction, and segmentation of the triangulated isosurface
Interactive 3D visualization of isosurface and feature data (option: stereoscopic rendering)
All methods are implemented in C, taking advantage of multi-core parallelization in OpenMP, and applying OpenGL4 for 3D rendering purposes. GTK3 is used for abstraction of the user interface. We provide a version with native Win32 user interface, especially for support of head-tracked, auto-stereoscopic viewing based on Dimenco Simulated Reality technology (MS Windows). The modules are tested in Linux (Ubuntu: gcc) and Windows environments (MSYS2: gcc, MS Visual Studio: cl, Intel oneAPI: icx-cl).
The application example AO8295 is based on this open data set:
Michel, C., Schroer, C., Olbrich, S., Ehteram, S., and Beckert, A. (2024). AO 8295 (X-Ray Tomography 3D data of an Enveloped Clay Tablet, Louvre Museum, Paris) [Data set].
DOI: https://doi.org/10.25592/uhhfdm.14776
A video animation generated by EXAVIS42 is published here:
Olbrich, S. and Beckert, A. (2024). Non-invasive, virtual unpacking of enclosed cuneiform - 3D reconstruction and visualization of clay tablets based on data acquired by portable micro-CT scanner [Video].
DOI: https://doi.org/10.25592/uhhfdm.14772
Our work is published here:
Olbrich, S., Beckert, A., Michel, C., Schroer, C., Ehteram, S., Schropp, A., Paetzold, P.: Efficient Analysis and Visualization of High-Resolution Computed Tomography Data for the Exploration of Enclosed Cuneiform Tablets. Proceedings of 2024 IEEE 14th Symposium on Large Data Analysis and Visualization (LDAV), Oct. 13 2024 to Oct. 13 2024, St Pete Beach, FL, USA.
ISBN: 979-8-3315-1692-5,
DOI: https://doi.ieeecomputersociety.org/10.1109/LDAV64567.2024.00012
Olbrich, S., Michel, C., and Schroer, C.: Non-invasive unpacking of enclosed cuneiform tab-lets by visualization and printing of extracted and segmented surfaces from 3D CT volume data. DOT 2022 – Deutscher Orientalistentag. September 12 – 17, 2022, Berlin, Germany.
Version LDAV2024 of this open source software, in conjunction with the open data set AO8295 mentioned above, should reproduce the results published in [1].
DOI: http://doi.org/10.25592/uhhfdm.1661
LC-MS Data of the study: Lipid profiling: Proving the geographical origin of strawberries (Fragaria × ananassa) using a non-targeted LC-IM-MS approach
No full textLC-MS dataset of the Study: LC-MS Data of the study: Lipid profiling: Proving the geographical origin of strawberries (Fragaria × ananassa) using a non-targeted LC-IM-MS approac
Data for Workpackage 7.1. Core Flagship QCFD Set
No full textA subset of the WP QCFD Set: Deliverable 7.1., in relation to the European Union's Horizon Europe research and innovation program (HORIZON-CL4-2021-DIGITAL-EMERGING-02-10) under grant agreement No. 101080085 QCFD (https://doi.org/10.3030/101080085). The dataset covers the computation of small academic examples, namely the Burgers equation. Different experimental results are presented in relation to solving the Burgers Equation on Quantum Computers
The PHOENIX/1D NewEra model atmosphere grid: Access software
No full textSoftware to access NewEra spectrum files (DOI 10.25592/uhhfdm.16727) from python and an example reader
The Influence of Global Crises on Acceptance of Autocracy in Germany: Measurement-Informations
No full textMeasurement-Informations zum Poster "The Influence of Global Crises on Acceptance of Autocracy in Germany"
Poster presented at the 80th Annual Meeting of the American Society of Criminology
(November 12 – 15, 2025, in Washington, DC
ZfKD | OMOP CDM - Metadata Cataloge
No full textData integration and interoperability are fundamental aspects of implementing the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM). In the context of oncology, various data sources, such as cancer registries and epidemiological databases, generate data. These sources often use different data formats, structures, and standards, making comparability and analysis challenging. Metadata is crucial for this process, as it acts as a contextualized interface that facilitates the integration and harmonization of these diverse data sources. By establishing clear metadata standards, OMOP CDM ensures consistency in key attributes such as data types, reference formats, and data descriptions, which makes integration smoother and more effective. This standardization helps maintain data consistency and minimizes errors or misunderstandings that can arise from inconsistent data
Menschen in Deutschland. Fünfte Welle der bundesweit repräsentativen Befragung: Durchführung, Rücklauf, Erhebungsinstrument und Codebuch. MOTRA Forschungsbericht No. 20 aus dem Institut für Kriminologie an der Fakultät für Rechtswissenschaft. Hamburg: Universität Hamburg.
No full textDer vorliegende Forschungsbericht No. 20 erläutert die methodische Anlage der 5. Welle der bundesweit repräsentativen Studie "Menschen in Deutschland", die ein zentraler Bestandteil der Analysen der Entwicklungen des Radikaliserungsgeschehens in Deutschland im Rahmen des Forschungsverbundes MOTRA ist. Die Feldarbeiten für diese Studie fanden im Jahr 2025 in der Zeit vom 23. Mai bis 20. Juli 2025 statt. In diesem Forschungsbericht findet sich dazu eine Beschreibung des Stichprobendesigns, der Durchführungsmodalitäten und der erzielten Rücklaufquoten. Die erreichten Stichproben werden sowohl in Bezug auf die für Trendanalysen verwendeten querschnittlichen Stichproben als auch separat mit Blick auf den Teil der Studie, die als Panel realisiert wurde, beschrieben.
Neben einer Beschreibung der Merkmale der Stichproben und deren Vergleich mit der Grundgesamtheit der entsprechenden Bevölkerung wird auch das im Jahr 2025 eingesetzte Erhebungsinstrument vorgestellt. Die hier eingesetzten Konstrukte werden dazu näher erläutert. Im Anhang finden sich ferner der in der 5. Erhebungswelle der MiD-Studien verwendete Fragebogen im Originalwortlaut und in der Abfolge der Fragen, wie sie im Feld eingesetzt wurden. Ferner ist im Anhang auch das zugehörige Codebuch enthalten, dem die Variablenbezeichnungen und die vorgenommenen Codierungen entnommen werden können