TU Dresden Data Publications

Data publications from research of Dresden University of Technology.

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Now showing 1 - 5 of 12
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    Open Access
    Data STM NBD
    (Technische Universität Dresden, 2024-07-15) Moresco, Francesca
    Supplementary raw STM data to the publication "Direct imaging of a norbornadiene (NBD) derivative adsorbed on the Au(111) surface"
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    Open Access
    Supplementary materials for the publication "Assessing perceived landscape change from opportunistic spatio-temporal occurrence data"
    (Technische Universität Dresden, 2024-07-12) Dunkel, Alexander; Burghardt, Dirk
    Supporting Information for the publication "Assessing perceived landscape change from opportunistic spatio-temporal occurrence data" (Release v1.0.1). Updates from the peer review process may not be reflected in this submission. The original git repository with the latest versions can be found at https://gitlab.hrz.tu-chemnitz.de/ad/temporal_landscapes
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    Open Access
    Dual testing field for studies of environmental and operational effects in structural damage localization of mechanical structures
    (Technische Universität Dresden, 2024-07-09) Rohrer, Maximilian
    This dataset accompanies the research on the impact of Environmental and Operational Conditions (EOC) on vibration-based Structural Health Monitoring (SHM) methods. It includes comprehensive acceleration data collected from a novel experimental testing field consisting of two identical mechanical structures. One structure operates in a controllable laboratory environment, while the other is subjected to real-world EOC in a field setup. The dataset captures mass along with various environmental factors affecting the field setup. This modular measurement system ensures the collection of high-quality data, making this dataset a valuable benchmark for researchers studying the effects of EOC on SHM. The dataset provides a unique opportunity for validating and developing robust SHM techniques that can adapt to varying EOC, fostering advancements in the field.
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    Open Access
    Bistable Organic Electrochemical Transistors: Enthalpy vs. Entropy
    (Technische Universität Dresden, 2024-07-03) Bongartz, Lukas
    Organic electrochemical transistors (OECTs) serve as the foundation for a wide range of emerging applications, from bioelectronic implants and smart sensor systems to neuromorphic computing. Their ascent originates from a distinctive switching mechanism based on the coupling of electronic and ionic charge carriers, which gives rise to a multitude of unique characteristics. Notably, various OECT systems have been reported with significant hysteresis in their transfer curve. While being a feature sought after as non-volatile memory in neuromorphic systems, no universal explanation has yet been given for its physical origin, impeding its advanced implementation. Herein, we present a thermodynamic framework that readily elucidates the emergence of bistable OECT operation through the interplay of enthalpy and entropy. We validate our model through three experimental approaches, covering temperature-resolved characterizations, targeted material manipulation, and thermal imaging. In this context, we demonstrate the exceptional scenario where the subthreshold swing deviates from Boltzmann statistics, and we provide an alternate view on existing data in literature, which further supports our model. Finally, we leverage the bistability in form of a single-OECT Schmitt trigger, thus compacting the complexity of a multi-component circuit into a single device. These insights offer a revised understanding of OECT physics and promote their application in non-conventional computing, where symmetry-breaking phenomena are pivotal to unlock novel paradigms.
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    Open Access
    Data set of the energy demand and associated movement of automated storage and retrieval machines
    (Technische Universität Dresden, 2024-06-24) Siegel, Armin
    The database consists of measurement data from multiple pallet racking storage and retrieval machines (SRMs) and the devices from automatic small parts storage systems (ASPS). The power consumption and the distance traveled by the systems were measured during several measurement operations. There are isolated measurements for the travel and hoist mechanisms of the systems. For power measurement, the Hioki 3193 Power HiTester was used. To capture the distance to the computer, a Dimetix laser distance sensor, model FLS-C 10, was employed. To account for all components and their losses, the power was measured at the aisle connection point. Accordingly, all components of the SRMs, including their losses, were recorded. The measurement setup and detailed methodology are described in the dissertation "Minimierung der Netzanschlussleistung und des Energiebedarfs von Regalbediengerät-Lagersystemen" / "Minimization of grid connection power and energy demand in automated storage and retrieval systems" by Armin Siegel. In addition to the database, which is provided as a compressed SQL file, example queries in Matlab (R2017b) and Python 3 are included.