791 to 800 of 2,511 Results
Mar 13, 2025 - SFB 1333 "Molecular heterogeneous catalysis in confined geometries"
Wimmer, Erik J., 2025, "Replication data of Estes group for: "Oxo-Bridged Zr Dimers as Well-defined Models of Oxygen Vacancies on ZrO2"", https://doi.org/10.18419/DARUS-3569, DaRUS, V1
The data is provided for experimental and analysis work done except computational calculations. All primary data files of measurements and processed data of the journal article mentioned under related publications from Estes group can be found here. Data from collaborating groups can be found in a seperate data set. The data is structured according... |
Mar 13, 2025 - EXC IntCDC Research Project 29 'COLife: More-Than-Human Perspective to Codesign'
Davidova, Marie; Valverde Rojas, Maria Claudia; Behnam, Hananeh; Yu, Yang; Veselý, Tomáš; Liu, Jiuyuan; Jiao, Feng; Pérez del Solar, Alejandra; Baros, Carolina; Fu, Yu; Pommerening, Luis; Tietz, Emilia; Ventura Saavedra, Oriana Gabriela; Preniqi, Blerta; Hany, Sherry; Kuhn, Jan; Benavides, Tadeo; Vigueras García, Maria; Escriche Narvión, Álvaro; Carraud, Eloisine, 2025, "COLife_06: Gigamap, Synthesis Map, DIY, Project Portfolio and Introduction", https://doi.org/10.18419/DARUS-4815, DaRUS, V1
The data cover a gigamap codesigned with the stakeholders and team members, a synthesis map, contemplating on the gigamap's data. It also covers instruction materials on how to reproduce the project itself. Portfolio and several instruction materials. The project focuses on a more-than-human perspective in a central urban environment. This time, CO... |
Mar 12, 2025 - Center for Higher Education and Lifelong Learning
Braun, Thorsten; Gashi, Anita; Wolfenstetter, Lea-Marie, 2025, "Interview Transcripts on Conditions For Study Success (WiSe 2023/24)", https://doi.org/10.18419/DARUS-4461, DaRUS, V1
This dataset contains raw interview data (transcripts) from a seminar on study success requirements ("Lernerfolgsbedingungen im Hochschulstudium", Universität Stuttgart) in winter 2023/24. 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... |
Mar 11, 2025 - RobotsReuse
Wyller, Maria; Svatoš-Ražnjević, Hana; Schad, Eva; Menges, Achim, 2025, "Reuse Compendium", https://doi.org/10.18419/DARUS-4687, DaRUS, V1, UNF:6:D6oVkx9/KDcgFR6JQlWGNA== [fileUNF]
This dataset contains a list of 348 references relating to reuse in architecture. It covers historical and contemporary reuse projects and examples in architecture, recent research projects using digital technologies for reuse or developing new building systems, art and design projects, as well as context and statisitcs related websites and a few c... |
Mar 7, 2025 - Institute of Thermodynamics and Thermal Process Engineering
Teh, Tiong Wei; Franz, Philipp; Stierle, Rolf; Hansen, Niels; Gross, Joachim, 2025, "Supplementary material for "GPU-accelerated classical density functional theory for alkane adsorption in cationic Faujasites: accuracy and performance comparison with grand canonical Monte Carlo simulations"", https://doi.org/10.18419/DARUS-4710, DaRUS, V1, UNF:6:stHJH07TlPNQ2mlEEjL5kA== [fileUNF]
The data that support the findings of the article "Classical density functional theory for alkane adsorption in cationic Faujasites: comparison with grand canonical Monte Carlo simulations". The dataset includes all adsorption data obtained from GCMC simulations (data_gcmc), from classical DFT calculations (data_dft) and RASPA input files (raspa).... |
Mar 6, 2025 - 3rd Physics Institute
Körber, Jonathan; Hessenauer, Jannis, 2025, "Replication Data for "Cavity enhancement of V2 centers in 4H-SiC with a fiber-based Fabry-Pérot microcavity"", https://doi.org/10.18419/DARUS-4788, DaRUS, V1, UNF:6:NUzZplaDwulMAR6IQNQcOw== [fileUNF]
CSV data sets to reproduce all plots in the paper. The datasets are either 1D plots with the x-values in the first column and all plotted y-curves in the following columns or 2D plots. In the latter case, the data consists of a vector containing the values of the x- and y-axis (first row and column, respectively) as well as the 2D data. Information... |
Mar 5, 2025 - SFB 1333 A1+B2 - Buchmeiser group, IPOC-MSF
Kundu, Koushani; Buchmeiser, Michael, 2025, "Replication Data for: Origin of Stereoselectivity in Ring Opening Metathesis Polymerization with Cationic Molybdenum Imido Alkylidene CAAC Complexes", https://doi.org/10.18419/DARUS-4791, DaRUS, V1
This dataset includes the NMR (1H, 19F and 13C) of the novel catalysts used in this article, the single crystal X-ray structure of a catalyst, and the proton NMR of the polymers. |
Mar 4, 2025 - D03: Development and realisation of validation benchmarks
Kohlhaas, Rebecca; Morales Oreamuno, Maria Fernanda; Lacheim, Alina, 2025, "BayesValidRox 2.0.0", https://doi.org/10.18419/DARUS-4752, DaRUS, V1
BayesValidRox is an open-source python package that provides methods for surrogate modeling, Bayesian inference and model comparison. Release 2.0.0 improves the modularity and uniformity of the package and introduces template classes for surrogate models and methods for generating posterior samples.(2025-02-05) |
Feb 28, 2025 - Analytic Computing
Fathallah, Nadeen, 2025, "Code for Improving Video Caption Accuracy with LLMs", https://doi.org/10.18419/DARUS-4776, DaRUS, V1
As part of the IKILeUS project at the University of Stuttgart, research was conducted to explore how Large Language Models (LLMs) can enhance the accuracy and contextual relevance of automatic speech recognition (ASR)-generated captions. While ASR tools provide a foundation for accessibility, they often produce grammatical errors, misinterpret homo... |
Feb 28, 2025 - Analytic Computing
Fathallah, Nadeen; Staab, Steffen, 2025, "Code for Caption Crowd (IKILeUS)", https://doi.org/10.18419/DARUS-4775, DaRUS, V1, UNF:6:e9mxpfNAwwwZlt8Uc4I+mQ== [fileUNF]
CaptionCrowd is an interactive platform developed within the IKILeUS project at the University of Stuttgart to improve video caption accuracy for the Deaf and Hard of Hearing (DHH) community. While automatic captions provide some accessibility, they often contain errors in grammar, homophones, and domain-specific terminology, making comprehension c... |
