TU Dresden Data Publications

Data publications from research of Dresden University of Technology.

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Now showing 1 - 5 of 68
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    Open Access
    Data for: "PCL-based Drug Delivery System allows high antibiotic loading while maintaining cytocompatibility and antibacterial activity"
    (Technische Universität Dresden, 2025-05-13) Guder, Celine; Hoffmann, Anja; Sterzenbach, Torsten
    The present dataset encompasses images of PCL-based drug delivery systems subsequent to their fabrication. Moreover, it comprises raw data as well as processed data of UV/Vis measurements, which are employed to ascertain antibiotic concentrations. The dataset incorporates data from antimicrobial testing and the determination of minimal inhibitory concentrations via agar diffusion tests. Additionally, it encompasses data from assays of cellular toxicity with smooth muscle cells.
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    Open Access
    Datenmodell der Forschungsdatenbank FVA 984 I
    (Technische Universität Dresden, 2025-05-07) Becker, Nils
    Im Rahmen des Forschungsvorhabens "Versuchsdatenkonditionierung" wurde eine Forschungsdatenbank für Schwingfestigkeitsversuche im Bereich Wellen und Welle-Nabe-Verbindungen erstellt. Die hier veröffentlichten Daten beschreiben das Datenmodell der Datenbank mit allen Tabellen, den darin enthaltenen Attributen und deren Eigenschaften.
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    Open Access
    Data for "Fractionalized fermionic multicriticality in anisotropic Kitaev spin-orbital liquids"
    (Technische Universität Dresden, 2025-05-07) Fornoville, Max; Janssen, Lukas
    The archive contains the data used to construct Figs. 1-3 of the paper "Fractionalized fermionic multicriticality in anisotropic Kitaev spin-orbital liquids" by M. Fornoville and L. Janssen [arXiv:2505.01493]. The work uses Majorana mean-field theory and renormalization group theory to study the low-temperature phase diagram of quantum Kitaev-Heisenberg spin-orbital models with XXZ anisotropy on the honeycomb lattice.
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    Open Access
    Investigations on prestressing wire breaks in a post-tensioned prefabricated girder – Distributed fiber optic strain data and Python scripts
    (Technische Universität Dresden, 2025-05-06) Richter, Bertram; Will, Elias; Herbers, Max
    This data set contains distributed fiber optic strain data and Python scripts for evaluation. The data was collected 2022-10-04 during experiments on a decommissioned bridge girder of type BTE 311.080.12. These prefabricated and post-tensioned girders were produced in the former GDR. In the experiments, tendons were deliberately damaged by cutting wires. Two locations on opposite lateral sites of the girder 1 m from the girder's middle were selected: C1 and C2. The data shows strain changes measured with a distributed fiber optic sensor (DFOS) installed in the underside of the girder. The DFOS was routed in three segments along the free span of the girder.
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    Open Access
    Predictive maintenance demonstrator dataset with individual load histories
    (Technische Universität Dresden, 2025-04-14) Heindel, Leonhard; Hantschke, Peter; Kästner, Markus
    Predictive maintenance aims to develop methods that are capable of predicting component failure before it occurs. Virtual sensing methods predict unmeasured physical quantities from available measurement data. These methods offer significant benefits to predictive maintenance, since virtual sensors can be used to estimate quantities that are difficult to measure. In many real applications, the time to failure is in the range of years, complicating the development and validation of predictive maintenance and virtual sensing approaches. This dataset provides a demonstrator example where failure occurs based on individual load histories. The sensor setup consists of simple notched steel specimens, which are clamped between two servo-hydraulic cylinders of a fatigue test bench. It is designed to provide a virtual sensor use case with independent training and testing data, so that the dataset can be used for algorithm development and benchmarking purposes.