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.
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Recent Submissions
Application of Raman and Photoluminescence Spectroscopy to MgO-C Refractories
(Technische Universität Bergakademie Freiberg, 2026-10-06) Richter, Julia; Drechsler, Felix; Stadtmüller, Till M. J.; Himcinschi, Cameliu; Aneziris, Christos G.; Kortus, Jens
Magnesia-carbon (MgO-C) bricks partially made of recycled magnesia (MgO) are examined in hardened and coked state using Raman and photoluminescence (PL) spectroscopy, focusing on the MgO grains compared with nominally pure MgO powder for reference. Raman and PL signals in the visible to near infrared range are distinguished and interpreted by varying the excitation wavelength between 532, 633, and 785 nm. Besides a broad PL band centered at 565 nm characteristic of the brick-derived MgO, the origin of two sharp high-intensity PL signals (699, 871 nm) surrounded by symmetrical sidebands is clarified. The 699 nm luminescence reveals the presence of trivalent chromium (Cr3+) impurities in the MgO lattice of MgO-C bricks as well as MgO powder, while the latter, V2+-related PL signal is only observed for the brick-derived MgO. The nature of the symmetrical sidebands is investigated by temperature-dependent spectroscopic measurements between 100 and 295 K. The temperature dependence of the intensity ratio between higher energy (anti-Stokes) and lower energy (Stokes) sidebands confirms the phonon involvement in both the MgO:Cr3+ and MgO:V2+ signals. This study enhances the spectroscopic methods to apply to industrial refractory materials, while it reveals impurities on a defect level that is not accessible by any well-established analysis.
Anonymisierte Unterrichtsentwürfe zur Analyse digitalisierungsbezogener Kompetenzen als Unterrichtsgegenstand
(Technische Universität Dresden, 2026-10-06) Altmann, Clara
Der Datensatz enthält 41 anonymisierte schriftliche Unterrichtsentwürfe aus einem lehramtsbezogenen Seminarkontext. Die Entwürfe umfassen unterschiedliche Fächer, Schulformen und Klassenstufen und enthalten unter anderem Angaben zu digitalisierungsbezogenen Artefakten, curricularer Einordnung, Lernzielen, Unterrichtsverlauf und zugehörigen Materialien. Sie bilden den öffentlich nachnutzbaren Teil eines ursprünglich 44 Unterrichtsentwürfe umfassenden Untersuchungskorpus. Drei Unterrichtsentwürfe sind nicht Bestandteil der Veröffentlichung, da sie nicht unter der für die übrigen Beispiele geltenden Lizenz CC BY-SA 4.0 bereitgestellt wurden. Personenbezogene Angaben wurden entfernt bzw. durch Kürzel ersetzt. Die Daten wurden im Rahmen einer Staatsexamensarbeit zur Entwicklung und Evaluation eines Codierschemas für die Analyse der geplanten Umsetzung digitalisierungsbezogener Kompetenzen als Unterrichtsgegenstand verwendet.
Data and Analysis Script of Delay Discounting Task Paper
(Technische Universität Dresden, 2026-10-05) Hildebrandt, Malin Katharina
The data that support the analysis and the script used to analyze the data.
Reservoir computing using multimode fiber and spatial light modulator for mode decomposition - 10m MMF
(Technische Universität Dresden, 2026-10-02) Tao, Houchun
Multimode fibers (MMFs) are attractive for many applications, such as endoscopic imaging and internet data trans mission. However, modal dispersion leads to crosstalk effects. Robust mode decomposition is therefore crucial—whether to harness the inherent mode mixing for physical layer security (PLS) or to correct it in spatial division multiplexing (SDM). While traditional holographic methods can untangle this crosstalk, they require a stable reference beam, which is impractical for longhaul transmission due to environmental sensitivity. Furthermore, although recent deep-learning approaches enable reference-less decomposition, they typically suffer from high computational latency and massive training costs for dynamic channels. To overcome these limitations simultaneously, we propose a reference free, low-latency method for mode decomposition and channel reconstruction that leverages the linear complex scattering of the MMF as a passive high-dimensional spatial feature map, whose nonlinearity is provided by square-law detection at the camera. Following a reduction of the sampling rate in the frequency domain to decrease feature dimensionality, a computationally efficient linear readout layer inverts the scattering process to reconstruct the transmitted complex fields. Although the final channel reconstruction still requires digital computation steps, this readout process is limited to a single, computationally efficient linear matrix multiplication. This reduces both latency and computational overhead compared to conventional electronic neural networks, which typically exhibit high energy consumption and high latency. The physical limitations and trade-offs of this framework when scaling to higher modal complexities are also discussed. We experimentally demonstrate high-precision, reference-less mode decomposition for multiplexed classical optical fields.
GRK 2802: EFFECT OF THE INITIAL THERMAL CYCLE ON THE THERMAL DIFFUSIVITY OF AN MgO-C REFRACTORY
(Technische Universität Bergakademie Freiberg, 2026-09-30) Pan, Luyao; Wulf, Rhena; Tobias M., Fieback; Till M. J., Stadtmüller; Christos G., Aneziris
The thermal diffusivity of MgO-C refractories is strongly influenced by their composition, internal structure, and temperature. The present study demonstrates that the thermal history of the material also plays a significant role. This effect was investigated using a representative MgO-C sample measured by the laser flash method over a temperature range from room temperature to 700 °C. During the initial heating, the thermal diffusivity decreased continuously with increasing temperature, with the most pronounced decrease occurring at lower temperatures. During subsequent cooling, the thermal diffusivity increased with decreasing temperature. However, the cooling curve followed a different path from the initial heating curve and exhibited a considerably flatter temperature dependence. The observed behaviour highlights the importance of considering thermal history when interpreting temperature-dependent thermal diffusivity measurements of heterogeneous MgO-C refractory materials.