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 ZIH Data Compendium websites. If you need suppourt using OPARA please contact the Servicedesk of TU Dresden.

Please note: The OPARA service was recently upgraded to a new technical platform (this site). Previously stored data will not be available here immediately. It can be found at the still active old version of OPARA. These stock data will be migrated in near future and then the old version of OPARA will finally be shut down. Existing DOIs for data publications remain valid.

Artwork based on 1, 2, 3, 4  @pixabay
 

Communities in OPARA

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Recent Submissions

ItemOpen Access
Data corresponding to paper: "Investigating end-of-life allocation approaches for bituminous mixtures" by Haverkamp et al. (2025)
(Technische Universität Dresden, 2025-12-16) Haverkamp, Pamela; Hartung, Felix; Traverso, Marzia; Lo Presti, Davide
This data publication contains the data related to the scientific contribution "Investigating end-of-life allocation approaches for bituminous mixtures" by Haverkamp et al. (2025) Abstract of the corresponding paper: This study examines end-of-life (EoL) allocation in Life Cycle Assessment (LCA) of bituminous mixtures, comparing four: 0:100 (EoL burdens and credits attributed to secondary material producer), EN 15804 (burden split at end-of-waste), 50:50 (burdens and credits divided equally), and Circular Footprint Formula (CFF) (allocation considering market situation). Notably, this is the first application of the CFF to bituminous mixtures. Each method is evaluated regarding recyclability, downcycling avoidance, applicability to bituminous mixtures, and loop considerations. In the case study, the 0:100 method yielded the lowest Climate Change impact (-10.7 kg CO2 eq./t), followed by EN 15804, 50:50, and CFF (65.1 kg CO2 eq./t). While 0:100 and 50:50 were the most straightforward approaches, EN 15804 and CFF were more sensitive to market conditions. Sensitivity analyses covering reclaimed asphalt content, binder availability, quality ratio, and EoL fate highlighted the importance of selecting appropriate allocation methods to ensure accurate results and support circular economy strategies.
ItemOpen Access
Data for "Exact nematic and mixed magnetic phases driven by competing orders on the pyrochlore lattice"
(Technische Universität Dresden, 2025-12-12) Francini, Niccolò; Schmidt, Lukas; Janssen, Lukas; Lozano-Gómez, Daniel
The archive contains the data used to construct Figs. 1, 5-8, 12-14, and 21 of the manuscript "Exact nematic and mixed magnetic phases driven by competing orders on the pyrochlore lattice" by N. Francini, L. Schmidt, L. Janssen, and D. Lozano-Gómez [arXiv:2510.23704].
ItemOpen Access
Digitale Unterlagen der openLAB Versuchsbrücke mit Stand November 2025
(Technische Universität Dresden, 2025-12-11) Collin, Fabian; Richter, Bertram; Ulbrich, Lisa; Dunkel, Stephan; Jesse, Frank
Die Forschungsbrücke "openLAB" wurde im Rahmen des Forschungsprojektes IDA-KI (Automatisierte Bewertung der Monitoringdaten von Infrastrukturbauwerken mithilfe von KI und IoT) auf dem Werksgelände der Hentschke Bau GmbH errichtet. Es dient zur Erforschung und Erprobung unterschiedlicher Bauwerksmonitoring. Das digitale Modell wurden in der Common Data Environment (CDE) "EPLASS" organisiert. Der Umfang der CDE beinhaltet Unterlagen aus den Phasen der Planung, Ausführung und dem Betrieb und umfasst sowohl das Bauwerk selbst, als auch einen Teil der installierten Monitoringsysteme, allerdings keine Monitoringdaten. Dieser Datensatz ist ein Abzug der in der CDE enthaltenen Daten mit dem Stand vom 2025-11-29.
ItemOpen Access
The Dresden Dataset for 4D Reconstruction of Non-Rigid Abdominal Surgical Scenes
(Technische Universität Dresden, 2025-12-10) Docea, Reuben; Younis, Rayan; Long, Yonghao; Fleury, Maxime; Xu, Jinjing; Li, Chenyang; Schulze, André; Wierick, Ann; Bender, Johannes; Pfeiffer, Micha; Dou, Qi; Wagner, Martin; Speidel, Stefanie
The D4D Dataset provides paired endoscopic video and high-quality structured-light geometry for evaluating 3D reconstruction of deforming abdominal soft tissue in realistic surgical conditions. Data were acquired from six porcine cadaver sessions using a da Vinci Xi stereo endoscope and a Zivid structured-light camera, registered via optical tracking and manually curated iterative alignment methods. Three sequence types - whole deformations, incremental deformations, and moved-camera clips - probe algorithm robustness to non-rigid motion, deformation magnitude, and out-of-view updates. Each clip provides rectified stereo images, per-frame instrument masks, stereo depth, start/end structured-light point clouds, curated camera poses and camera intrinsics. In postprocessing, ICP and semi-automatic registration techniques are used to register data, and instrument masks are created. The dataset enables quantitative geometric evaluation in both visible and occluded regions, alongside photometric view-synthesis baselines. Comprising over 300,000 frames and 369 point clouds across 98 curated recordings, this resource can serve as a comprehensive benchmark for developing and evaluating non-rigid SLAM, 4D reconstruction, and depth estimation methods.
ItemOpen Access
Determination of the material behavior of asphalt using performance-oriented test methods
(Technische Universität Dresden, 2025-12-09) Kamratowsky, Erik; Hartung, Felix; Leischner, Sabine; Zeißler, Alexander
The tests carried out included a Stone Mastic Asphalt with a maximum grain size of 11 mm (SMA 11 S). Greywacke was selected as the aggregate and dolomite with 10% hydrated limestone as the filler. A polymer-modified bitumen of the type 40/80-85 A was used as the binder, and the binder content was varied from 6.0 M-% to 8.0 M-% in order to determine the optimum binder content. The SMA 11 S was mixed in the pavement laboratory of the Technical University of Dresden. For this purpose, the asphalt was mixed in a mixer. The slabs were then produced using a rolling compactor. Samples were taken from the slabs and assigned a numerical identifier according to the order in which the cores were taken. Consequently, the names of the samples do not correspond to any of the names given in the guidelines. The stiffness and fatigue behavior were determined using the indirect tensile test (according to TP Asphalt-StB 2018, Parts 24 and 26), the deformation behavior using the (uniaxial) compression test on a slim sample (according to AL DSV slim 2024), and the low-temperature behavior using the thermal stress restrained specimen Test (according to TP Asphalt-StB 2013, Part 46 A). The results of these tests are presented for all asphalt variants in this data publication. In contrast to the guideline AL DSV slim 2024, other maximum stresses were utilized in the third stage at temperatures of 30 °C and 40 °C. This enabled the assessment of greater loading on the sample, thereby providing a more accurate indication of the deformation behavior of the high-performance asphalt.