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
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.
ItemOpen Access
Behavioral data from the Individuality paradigm
(Technische Universität Dresden, 2025-12-08) Kempermann, Gerd
The data sets contain pre-processed raw data of antenna contacts of mice cohorts living within the Individuality set-up (ColonyRack), i.e. 70 connected cages that provide one large enriched environment. The data sets contain raw and processed data from antenna contacts that the mice made across the experimental period. The R package 'ColonyTrack' (https://rupertoverall.net/ColonyTrack/) was used to generate the data, which are presented in the compressed RData format. The two files contain the data for all individual mice in the experiments of both genotypes, Cyclin D2 knockouts and wildtypes with all spatial and temporal coordinates along with the mouse IDs.
ItemOpen Access
Parameters Tested for VNA validation
(Universität Leipzig, 2025-12-03) Harzer, Maxi
Five key protocol variables were systematically assessed: (i) the applied trypsin concentration, (ii) the incubation time for proteolytic activation of the RV, (iii) the infection dose applied, (iv) the duration of neutralization time and (v) sample-specific factors that affect assay performance. Furthermore, correlation studies was done between several sample materials and Virus neutralization (VNA) and immunofourescence assay titers. Moreover the sensitivity limit and the linearity of the VNA was determined as well as intra- and inter-assay repeatability.
ItemOpen Access
Data from "Come fly with me" VR study on Reducing Cybersickness with Foveated Depth of Field Blur across varying Locomotion Control conditions
(Technische Universität Dresden, 2025-12-03) Josupeit, Judith; Helmert, Jens; Hussain, Razeen; Solari, Fabio; Chessa, Manuela
Cybersickness, which is characterized by symptoms such as general discomfort, headaches, and nausea, is a common issue in virtual reality (VR) that negatively impacts the accessibility and user experience. Foveated depth of field blur rendering (FovDof) uses the perceptual limitations of the human eye to mitigate cybersickness. However, the external validity of this countermeasure is limited. To increase the external validity, an interactive task is introduced. In addition, the study introduces two levels of locomotion control (3 vs. 6DoF). Along with subjective measures focusing on cybersickness symptoms (SSQ/MISC), objective performance measures (eye tracker sampling frequency) were analyzed. Based on valid data from 65 participants, the analysis revealed significant main effects for both rendering and locomotion control factors for the objective measures. However, the effects of the two types of measures are in opposite directions. For the subjective measures, the combination of full rendering and 3DoF locomotion control resulted in the highest cybersickness values. These results suggest that the applicability of FovDof is universal, even when a task is included, and can be implemented using other eye tracking software and hardware. However, limited customizability for VR headsets limits the applicability. In cases where full locomotion control is provided to the user, the FovDof algorithm does not have additional mitigating effects.
ItemPublic Metadata
Measurement Data for "An Analysis of Energy Efficiency Features in Intel Sapphire Rapids Processors"
(Technische Universität Dresden, 2025-12-02) Schmidl, Markus
This dataset contains performance measurement data which is used to classify internal mechanisms and characteristics that facilitate the tuning of energy efficiency on the Intel Sapphire Rapids processor generation. The data is generated from measurement configurations and code hosted at the following git repository: https://github.com/marenz2569/2025-sappire-rapids-ee