Research Data Repository of Saxon Universities
OPARA is the Open Access Repository and Archive for Research Data of Saxon Universities.
Researchers of Saxon Universities can either publish their research data on OPARA, or archive it here to comply with requirements of funding acencies and good scientic practice, without public access.
You can find the documentation of this service at the OPARA manual websites. If you need suppourt using OPARA please contact the Servicedesk of TU Dresden.
Communities in OPARA
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Recent Submissions
Data corresponding to publication: "Field-driven phases in a three-dimensional twisted Kitaev model for CoNb2O6: Interplay of frustration and spin-orbit coupling" by T. Drechsler et al (2026)
(Technische Universität Dresden, 2026-09-04) Vojta, Matthias
This dataset contains the data corresponding to the figures in the publication T Drechsler, M. Vojta, "Field-driven phases in a three-dimensional twisted Kitaev model for CoNb2O6: Interplay of frustration and spin-orbit coupling", Phys. Rev. B (2026).
GRK 2802: EBSD Study of Creep-Induced Lattice Misorientation in MgO-Particle-Reinforced Austenitic Steel Composites
(Technische Universität Bergakademie Freiberg, 2026-09-03) Müller, Moritz; Compart, Amaya; Mehdizadehlima, Mahnaz; Yaroshevskyi, Serhii; Aneziris, Christos G.; Biermann, Horst; Weidner, Anja
Creep in compression experiments at 900°C are conducted on coarse-grained steel-ceramic composites reinforced with different volume fractions of recycled magnesia particles. Strain accumulation within the austenitic steel matrix is characterized through detailed electron back-scattered diffraction (EBSD) analysis using the parameters kernel average misorientation (KAM) and grain reference orientation deviation (GROD). The creep resistance is significantly improved by increasing the volume fraction of ceramic reinforcements. Subgrain formation in the steel matrix is identified as the dominant creep mechanism. Both parameters KAM and GROD are suitable for evaluating lattice misorientation in the as-sintered and creep-deformed microstructures. Higher ceramic volume fractions increase the average lattice misorientation in the as-sintered states. Under the same applied creep stress, the unreinforced steel matrix and composite variants show comparable misorientation distributions. An increase in the applied stress significantly shifts the distributions to higher misorientation values. High-resolution electron channeling contrast imaging (ECCI) is used to confirm that KAM mapping reliably identifies subgrain structures within the steel grains. Average subgrain sizes range from 2 to 4 μm and decrease moderately with increasing creep strain. No significant differences in subgrain size are observed between the unreinforced steel and the composite variants.
OpenBridgeLAB Output-Only Acceleration Data - Reference State, Damage State 1, and Damage State 2
(Technische Universität Dresden, 2026-08-28) Moeller, Max; Juler, Tobias; Patzelt, Adrian; Lenzen, Armin
The OpenBridgeLAB, a testing bridge erected to investigate structural health monitoring methods, was equipped with 32 uniaxial piezoelectric acceleration sensors to measure the structural response under ambient excitation. The bridge is a prestressed concrete bridge consisting of three spans, each with a length of 15 m. The bridge deck comprises three prefabricated T-beam elements. For the investigations, only Spans 1 and 2 were equipped with accelerometers, as Span 3 is structurally decoupled.
The dataset consists of three different ensembles: the Reference State (RS), in which the bridge is in an undamaged condition, Damage State 1 (DS1), and Damage State 2 (DS2). Following the acquisition of the RS measurements, damage was introduced in Span 2 of the OpenBridgeLAB. A second damage was subsequently introduced in Span 1 after the measurements for DS1 had been captured. A detailed description of the damage scenarios and their locations is provided in the companion paper.
In addition to the dataset, a datasheet is provided. The datasheet contains a detailed description of the measurements, including the sensor positions, sampling rate, number of measurements, and data structure.
This research is part of the SPP100+ Priority Programme funded by the German Research Foundation.
Development and Evaluation of a Virtual Reality Environment for Geometry Education: A Design-Based Research Study
(Technische Universität Dresden, 2026-08-28) Josupeit, Judith; Arlt, Annika; Greiß, Annika; Dyrna, Jonathan; Köhler, Thomas
Virtual reality (VR) offers new possibilities for geometry education by enabling learners to explore three-dimensional objects in spatially coherent environments. Despite these benefits, curriculum-related and theory-informed VR learning environments for lower secondary geometry remain limited, especially regarding formative evidence on users’ perceptions and design-related refinement needs. Thus, this study presents the development and formative evaluation of a VR learning environment for lower secondary geometry education, using a design-based research approach. In the environment, learners explored a virtual house and solved geometry tasks related to the geometric properties of the building and its surroundings. The evaluation comprised two phases with 48 participants in total. Quantitative questionnaire data and qualitative feedback were analyzed to examine perceived usability, cybersickness, cognitive load, motivation, perceived learning, didactic suitability, and design-related refinement needs. Overall, participants evaluated the environment positively. Ratings indicated low cybersickness, favorable perceived ease of use, low extraneous cognitive load, high learning-relevant effort, and high intrinsic motivation. Qualitative feedback showed that participants valued spatial exploration and perspective-taking, but also identified needs for more interaction, improved documentation of intermediate results, integrated feedback, and feasible classroom implementation.
FedSurg EndoVis 2024: Challenge Subset of Appendix300
(Technische Universität Dresden, 2026-08-27) Kirchner, Max; Kolbinger, Fiona R; Jenke, Alexander C; Saldanha, Oliver L; Pfeiffer, Kevin; Kanjo, Weam; Kather, Jakob N.; Bodenstedt, Sebastian; Speidel, Stefanie
This deposit contains the supplementary data for the FedSurg EndoVis 2024 Challenge, the first federated learning challenge in Surgical Data Science, held at MICCAI 2024.
The challenge used a preliminary subset of the Appendix300 dataset, a multi-institutional collection of laparoscopic appendectomy recordings from German university and community hospitals, annotated with intraoperative appendicitis severity grades 0 to 5 following Gomes et al. The challenge cohort comprises 223 recordings across four centers, split into 153 training and 70 test cases.
The deposit includes a CSV file specifying which Appendix300 samples were used in the challenge and their assignment to centers and to the training and test splits, together with two recordings that were used in the challenge but excluded from the final Appendix300 dataset because the available footage was shorter than the nominal 100 second window or the appendix was not clearly visible at the annotated timestamp.
This deposit does not contain the appendectomy video recordings themselves, with the exception of the two excluded cases named above. The video data and accompanying clinical metadata are available separately as the Appendix300 dataset at https://doi.org/10.25532/OPARA-1173. The challenge evaluation and ranking code is available at https://gitlab.com/nct_tso_public/challenges/miccai2024/snippet, and the example federated learning setup at https://gitlab.com/nct_tso_public/challenges/miccai2024/FedSurg24.
Use of this material requires citation of both the FedSurg challenge paper and the Appendix300 data descriptor. Released under CC BY.