TU Dresden Data Publications
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Data publications from research of Dresden University of Technology.
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- ItemOpen AccessDimensioning of Auxiliary Systems for Ammonia-Fueled Vessels(Technische Universität Dresden, 2025-07-02) Christoff, BrunoThis dataset is part of NH3CRAFT Deliverable D5.4: Parametrized Test-Benchmark with Dataset of Desktop Studies. It contains the dimensioning of the main auxiliary systems for ammonia-fueled vessels. The dataset includes data for the dimensioning of the pipes, low- and high-pressure pumps, recirculation and buffer tanks, heaters and nitrogen supply requirements.
- ItemOpen AccessEstimation of fuel storage capacity for Ammonia-Fueled Vessels(Technische Universität Dresden, 2025-07-02) Christoff, BrunoThis dataset is part of NH3CRAFT Deliverable D5.4: Parametrized Test-Benchmark with Dataset of Desktop Studies. It was generated using a MATLAB/Simulink model developed for a digital design platform supporting the conceptual development of ammonia-fueled ships. The dataset enables parametric studies focused on estimating the ammonia fuel storage capacity and operational profiles of vessels under different scenarios. The model estimates the fuel storage capacity considering the vessel’s operational profile, the vessel’s available installation spaces, and tank configuration options. The operational profile includes engine power, vessel speed, and days of operation. The vessel dimensions take into account the available installation spaces and the breadth of the vessel. Several tank configuration options are explored, including the use of Twenty-foot Equivalent Unit (TEU) and Forty-foot Equivalent Unit (FEU) tanks—made of either metallic or composite materials—and placement strategies such as horizontal placement (with and without stacking allowance) and vertical placement. The key outputs include the tank capacity per installation space in cubic meters, the vessel range (or coverage) per installation space in nautical miles, and the number of tanks per installation space. vessel range per installation space (nautical miles), and the number of tanks per installation space
- ItemOpen AccessSivaS Project Results: Traffic Observation Data and Exemplary Subset of Master Database(Technische Universität Dresden, 2025-06-30) Kannan, Rajagopalan; Prokop, Günther; Kollascheck, Armin; Gerike, Regine; Stoller, André; Böhme, TobiasThis dataset comprises JSON files and .mp4 video recordings that collectively form the foundation of a centralized database for traffic observations, referred to as the SivaS Master Database. Included in the dataset are: (i) a subset of the raw traffic observation data, (ii) JSON schemas defining the standardized data structure for traffic data storage, (iii) the hierarchical folder framework for organizing such data, and (iv) an exemplary implementation of the standardized database. Given the complexity of the raw data and the substantial effort involved in converting it into the standardized structure, only a limited sample dataset was manually curated and prepared. The SivaS Master Database was created by transforming a subset of the raw traffic data collected during the project into the established database, designed to support integration from various acquisition systems. The dataset includes traffic observations obtained through three different modalities: drones, stationary pole-mounted cameras, and sensor-equipped NDS (Naturalistic Driving Study) vehicles. Specifically, it features over 60 minutes of video recordings from a junction in the city of Dresden, captured simultaneously by three stationary cameras. Additionally, it contains more than 30 minutes of drone-based video footage from two separate junctions in the city of Hoyerswerda. It also includes vehicle positioning data collected by a sensor-equipped observation vehicle, formatted according to the standardized structure, from traffic observations conducted in Hoyerswerda.
- ItemOpen AccessResearch Data Management Handbook for SPP100+(Technische Universität Dresden, 2025-06-27) Aqlan , Samar; Kang, Chongjie; Eisermann, CedricThis handbook provides a comprehensive guide to research data management (RDM) for the joint project SPP100+, an interdisciplinary initiative that brings together five research clusters and approximately 19 subprojects. The project addresses the urgent need for earlier and more effective preventive maintenance of complex structural systems—such as those found in transport infrastructure—by enabling predictive insights into degradation processes. As structures age, their condition deteriorates increasingly rapidly, making early detection and intervention crucial. SPP100+ focuses on advancing the collection, integration, and evaluation of data related to geometry, material properties, stress, and ageing. Central to this effort is the concept of the digital twin, which allows for real-time, data-driven decision-making in the maintenance and operation of unique, large-scale infrastructure. This handbook outlines the RDM strategies tailored to the project's unique demands, supporting consistent, interoperable, and reusable data practices across all contributing research units.
- ItemOpen AccessData Underpinning: Spin Liquid Mimicry in the Hydroxide Double Perovskite CuSn(OD)₆ Induced by Correlated Proton Disorder(Technische Universität Dresden, 2025-06-26) Kulbakov, Anton A.; Häußler, Ellen; Parui, Kaushick K.; Pavlovskii, Nikolai S.; Mannathanath Chakkingal, Aswathi; Granovsky, Sergey A.; Gaß, Sebastian; Corredor Bohórquez, Laura Teresa; Wolter, Anja U. B.; Zvyagin, Sergei A.; Skourski, Yurii V.; Pomjakushin, Vladimir Yu.; Puente-Orench, Inés; Peets, Darren Campbell; Doert, Thomas; Inosov, Dmytro. S.The face-centered-cubic lattice is composed of edge-sharing tetrahedra, making it a leading candidate host for strongly frustrated magnetism, but relatively few face-centered frustrated materials have been investigated. In the hydroxide double perovskite CuSn(OH)6, magnetic frustration of the Cu2+ quantum spins is partially relieved by strong Jahn-Teller distortions. Nevertheless, the system shows no signs of long-range magnetic order down to 45 mK and instead exhibits broad thermodynamic anomalies in specific heat and magnetization, indicating short-range dynamical spin correlations — a behavior typical of quantum spin liquids. We propose that such an unusual robustness of the spin-liquid-like state is a combined effect of quantum fluctuations of the quantum spins S = 1/2 , residual frustration on the highly distorted face-centered Cu2+ sublattice, and correlated proton disorder. Similar to the disorder-induced spin-liquid mimicry in YbMgGaO4 and herbertsmithite, proton disorder destabilizes the long-range magnetic order by introducing randomness into the magnetic exchange interaction network. However, unlike the quenched substitutional disorder on the magnetic sublattice, which is difficult to control, proton disorder can in principle be tuned through pressure-driven proton ordering transitions. This opens up the prospect of tuning the degree of disorder in a magnetic system to better understand its influence on the magnetic ground state.