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

Select a community to browse its collections.

Recent Submissions

ItemOpen Access
Farnesischer Stier - Kithara und Baumstammende, Universität Leipzig, Antikenmuseum, G 661 - TF 2, high-poly
(Universität Leipzig, 2026-05-18) Michalski, Paula; Apelt, Joana
Dieser Datensatz enthält das High-Poly-Modell der Kithara und eines Baumstammendes aus der Gipsabformung der Skulpturengruppe des Farnesischen Stiers, die sich im Antikenmuseum der Universität Leipzig (Inventarnummer G 661, TF 2) befindet. Das 3D-Modell basiert auf den hochaufgelösten Rohdaten und wurde durch Polygonreduktion optimiert. Dabei blieb die geometrische und visuelle Qualität erhalten, während die Dateigröße deutlich reduziert wurde.
ItemOpen Access
Farnesischer Stier - Linker Vorderlauf des Stiers, Universität Leipzig, Antikenmuseum, G 661 - TF 4, high-poly
(Universität Leipzig, 2026-05-18) Michalski, Paula; Apelt, Joana
Dieser Datensatz enthält das High-Poly-Modell des linken Vorderlaufs des Stiers aus der Gipsabformung der Skulpturengruppe des Farnesischen Stiers, die sich im Antikenmuseum der Universität Leipzig (Inventarnummer G 661, TF 4) befindet. Das 3D-Modell basiert auf den hochaufgelösten Rohdaten und wurde durch Polygonreduktion optimiert. Dabei blieb die geometrische und visuelle Qualität erhalten, während die Dateigröße deutlich reduziert wurde.
ItemOpen Access
Supplemental SEM-EDS (MLA) and CT data for the publication "CNN-based 3D characterization and liberation analysis of lithium-bearing slag particles using correlative CT and SEM imaging"
(Technische Universität Bergakademie Freiberg, 2026-05-13) Ditscherlein, Ralf
This dataset provides the underlying X-ray CT data and processed image stacks used for particle-scale characterization and evaluation of the proposed workflow. The study addresses the challenge of accurately characterizing lithium-bearing slag particles to improve recovery of critical raw materials. A correlative workflow combining 3D CT imaging with 2D SEM-based mineral maps is used to train convolutional neural networks for phase-wise and particle-wise segmentation. This enables scalable 3D characterization with minimal manual labeling effort. The models are applied to particle size fractions of 63–100 µm and 100–250 µm. Results show that conventional 2D approaches systematically overestimate mineral liberation, while the presented 3D approach reduces stereological bias and provides more reliable input for process optimization.
ItemOpen Access
Dental Anxiety and preventive dental care in 102 Patients in a oral surgery practice
(Technische Universität Dresden, 2026-05-08) Berth, Hendrik; Quorri, Rezart; Cunoti, Nertsa
The dataset contains questionnaire responses from 102 patients. These patients (42 males and 60 females with a mean age of 40.3 years) visited an oral surgery practice in Saxony, Germany, between December 2019 and June 2020. They completed the Dental Anxiety Scale (DAS) questionnaire, as well as answering six questions on preventive dental care. Examples of these questions are “How many times a day do you brush your teeth?” and “How often per year do you have your teeth professionally cleaned?”. The patients' gender, age, marital status, educational background and occupation were also recorded.
ItemOpen Access
Multi-Domain Optimization for Networked Control Systems
(Technische Universität Dresden, 2026-04-30) Pallewaththe Kankanamge, Hasal Dinusankha Kulasekara; Soler Perez Olaya, Santiago; Wollschlaeger, Martin
This repository contains the experimental artifacts for our paper on multi-domain model-driven optimization for networked control systems, providing a comprehensive suite of resources for system modeling and evaluation, including: - plant-side dynamical models, - communication-delay models, - neural-network surrogate training and evaluation, - objective-function analysis for accuracy-versus-computation trade-offs, and - optional Hailo deployment and latency measurements.