TU Dresden Data Publications

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http://opara.zih.tu-dresden.de/handle/123456789/15
Data publications from research of Dresden University of Technology.

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Browsing TU Dresden Data Publications by Title

Now showing 1 - 20 of 42
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    Open Access
    Amplification of Negative Gas Adsorption in a multivariate framework
    (Technische Universität Dresden, 2024-06-20) Bon, Volodymyr
    The approach of multivariate MOFs was used to fine-tune the mechanical properties of the flexible framework DUT-49. In situ XRD, NMR and physisorption studies showed that the partial incorporation of a more rigid linker into DUT-49 framework enables a stabilization of the metastable open pore phase which led to a twofold amplification of the expelled gas amount upon “Negative Gas Adsorption” transition.
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    Open Access
    Artificial data set for benchmarking pre-processing algorithms for distributed fiber optic strain data
    (Technische Universität Dresden, 2024-11-28) Richter, Bertram
    Distributed strains sensing (DSS) with distributed fiber optic sensors (DFOS) has great potential for structural health monitoring (SHM). Raw DSS data might contain different types of disturbances caused by the measurement principle of DFOS. The disturbance types are (i) misreadings called strain reading anomolies (SRA), (ii) missing values called dropouts, and (iii) noise. Hence, pre-processing (the process of removing or reducing the disturbances) is key for a reliable evaluation of DSS data. Many different pre-processing approaches/algorithms exist. The assessment, how well an algorithms performs in removing the disturbances is done by benchmarking. This judgement requires a known "ground truth" (disturbance free signal). As all measurements show noise, this benchmarking needs to be carried out on an artifical data set. The aim of this benchmark data set is to simulate realistic DSS data. The characteristics of the benchmark data set is described in in detail in the accompanying paper available at [10.3390/s24237454](https://doi.org/10.3390/s24237454). To simulate different use cases, the data set contains five scenarios. SRAs, dropouts and noise are simulated using simple random processes. The values for SRAs are extracted from the data set available at [10.25532/OPARA-671](https://doi.org/10.25532/OPARA-671). This dataset is available at [10.25532/OPARA-644](https://doi.org/10.25532/OPARA-644) and accompanies the paper [10.3390/s24237454](https://doi.org/10.3390/s24237454).
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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
    Correlation Clustering of Organoid Images: Data
    (Technische Universität Dresden, 2024-08-23) Presberger, Jannik; Keshara, Rashmiparvathi; Stein, David; Kim, Yung Hae; Grapin-Botton, Anne; Andres, Bjoern
    The data considered in: J. Presberger, R. Keshara, D. Stein, Y. H. Kim, A. Grapin-Botton and B. Andres. Correlation Clustering of Organoid Images. In: GCPR 2024.
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    Open Access
    Data corresponding to publication: "Disorder effects in spiral spin liquids: Long-range spin textures, Friedel-like oscillations, and spiral spin glasses" by P. M. Consoli et al. (2024)
    (Technische Universität Dresden, 2024-12-03) Vojta, Matthias
    This dataset contains the data and scripts corresponding to the figures in the publication P. M. Consoli and M. Vojta, "Disorder effects in spiral spin liquids: Long-range spin textures, Friedel-like oscillations, and spiral spin glasses", Phys. Rev. B 109, 064423 (2024), https://doi.org/10.1103/PhysRevB.109.064423
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    Open Access
    Data corresponding to publication: "Kondo screening and coherence in kagome local-moment metals: Energy scales of heavy fermions in the presence of flat bands " by C. Kourris et al. (2024)
    (Technische Universität Dresden, 2024-12-03) Vojta, Matthias
    This dataset contains the data and scripts corresponding to the figures in the publication C. Kourris and M. Vojta, "DKondo screening and coherence in kagome local-moment metals: Energy scales of heavy fermions in the presence of flat bands", Phys. Rev. B 108, 235106 (2024), https://doi.org/10.1103/PhysRevB.108.235106
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    Open Access
    Data for "Exposing the odd-parity superconductivity in CeRh2As2 with hydrostatic pressure"
    (Technische Universität Dresden, 2024-12-03) Semeniuk, Konstantin; Pfeiffer, Meike; Landaeta, Javier F.; Nicklas, Michael; Geibel, Christoph; Brando, Manuel; Khim, Seunghyun; Hassinger, Elena
    This archive contains the data of primarily experimental origin that are plotted in the main and supplementary figures of the article "Exposing the odd-parity superconductivity in CeRh2As2 with hydrostatic pressure" by M. Pfeiffer et al., published in Physical Review B 110, L100504 (2024). The data are provided it the form of text files, and the file names indicate where the data appear in the publication. These files contain tab-separated columns of numerical values. The first row of each file reads the column names. Rounding errors may give rise to some negligible inconsistencies between the data in this archive and the article. The figure data that come from other publications are not provided here. When more than one figure contain the same set of data, it is generally only provided once, in the folder corresponding to the first figure in which that set of data appears. Additional data and details related to the article can be obtained upon a reasonable request from the following authors: Konstantin Semeniuk (konstantin.semeniuk@cpfs.mpg.de), Elena Hassinger (elena.hassinger@tu-dresden.de).
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    Open Access
    Data for "Ferrimagnetism from triple-q order in Na2Co2TeO6"
    (Technische Universität Dresden, 2024-11-14) Francini, Niccolò; Janssen, Lukas
    The archive contains the data used to construct Fig. 3, Fig. 4, and Fig. 5(a) of the paper "Ferrimagnetism from triple-q order in Na2Co2TeO6" by N. Francini and L. Janssen [arXiv:2409.12234]. The work uses classical Monte-Carlo simulations to study the ferrimagnetic response of two different extended Kitaev-Heisenberg models realizing two different ground states: a collinear zigzag state and a noncollinear triple-q state.
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    Open Access
    Data for "Pressure-Tuned Quantum Criticality in the Locally Noncentrosymmetric Superconductor CeRh2As2"
    (Technische Universität Dresden, 2024-12-03) Pfeiffer, Meike; Semeniuk, Konstantin; Landaeta, Javier F.; Borth, Robert; Geibel, Christoph; Nicklas, Michael; Brando, Manuel; Khim, Seunghyun; Hassinger, Elena
    This archive contains the data of experimental origin plotted in the main and supplementary figures of the article "Pressure-Tuned Quantum Criticality in the Locally Noncentrosymmetric Superconductor CeRh2As2" by M. Pfeiffer et al., published in Physical Review Letters 133, 126506 (2024). The data are provided it the form of text files, and the file names indicate where the data appear in the publication. These files contain tab-separated columns of numerical values. The first row of each file reads the column names. Rounding errors may give rise to some negligible inconsistencies between the data in this archive and the article. Additional data and details related to the article can be obtained upon a reasonable request from the following authors: Konstantin Semeniuk (konstantin.semeniuk@cpfs.mpg.de), Elena Hassinger (elena.hassinger@tu-dresden.de).
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    Open Access
    Data for Stability of Bogoliubov Fermi surfaces within BCS theory
    (Technische Universität Dresden, 2024-11-06) Bhattacharya, Ankita; Timm, Carsten
    This archive contains the data plotted in the paper A. Bhattacharya and C. Timm, Stability of Bogoliubov Fermi surfaces within BCS theory, Phys. Rev. B 107, L220501 (2023) and its Supplemental Material. For this paper, the superconducting gap and the energy gain in the superconducting state relative to the normal state were obtained by solving the inverse BCS gap equation. The required integrals over the Brillouin zone were performed using global-adaptive integrations with high precision in Mathematica.
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    Open Access
    Data of an online-survey about the barriers in the implementation of evidence based teaching concepts at german universities in physics
    (Technische Universität Dresden, 2024-10-02) Kaltofen, Tim; Prestel, Thomas
    Data contains anonymous answers to a set of questions about knowledge and use of evidece based teaching concepts by german lectueres in lectures and tutorials. The data includes assessments of the obstacles to implement these teaching concepts. Additionally, possible support offerings were inquired about. Demographic data is listed at the end of the survey.
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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.
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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
    Data STM rotor and car
    (Technische Universität Dresden, 2024-09-11) Moresco, Francesca
    Supplementary raw STM data to the publication "A Nanocar and Rotor in One Molecule" https://doi.org/10.48550/arXiv.2305.06791
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    Open Access
    Data Underpinning: Coupled frustrated ferromagnetic and antiferromagnetic quantum spin chains in the quasi-one-dimensional mineral antlerite Cu₃⁢SO₄(OH)₄
    (Technische Universität Dresden, 2024-11-06) Kulbakov, Anton A.; Kononenko, Denys Y.; Nishimoto, Satoshi; Stahl, Quirin; Mannathanath Chakkingal, Aswathi; Feig, Manuel; Gumeniuk, Roman; Skourski, Yurii; Bhaskaran, Lakshmi; Zvyagin, Sergei A.; Embs, Jan Peter; Puente-Orench, Inés; Wildes, Andrew; Geck, Jochen; Janson, Oleg; Inosov, Dmytro S.; Peets, Darren C.
    Abstract of the published article: Magnetic frustration, the competition among exchange interactions, often leads to novel magnetic ground states with unique physical properties which can hinge on details of interactions that are otherwise difficult to observe. Such states are particularly interesting when it is possible to tune the balance among the interactions to access multiple types of magnetic order. We present antlerite Cu₃⁢SO₄⁢(OH)₄ as a potential platform for tuning frustration. Contrary to previous reports, the low-temperature magnetic state of its three-leg zigzag ladders is a quasi-one-dimensional analog of the magnetic state recently proposed to exhibit spinon-magnon mixing in botallackite. Density functional theory calculations indicate that antlerite's magnetic ground state is exquisitely sensitive to fine details of the atomic positions, with each chain independently on the cusp of a phase transition, indicating an excellent potential for tunability.
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    Open Access
    Data Underpinning: Magnetic phase diagram of rouaite, Cu₂⁢(OH)₃⁢NO₃
    (Technische Universität Dresden, 2024-11-04) Peets, Darren Campbell; Mannathanath Chakkingal, Aswathi; Kulbakov, Anton A.; Grumbach, Justus; Pavlovskii, Nikolai S.; Stockert, Ulrike; Parui, Kaushick Krishnakanta; Avdeev, Maxim; Kumar, Ramender; Niwata, Issei; Häußler, Ellen; Gumeniuk, Roman; Stewart, J. Ross; Tellam, James P.; Pomjakushin, Vladimir; Granovsky, Sergey; Doerr, Mathias; Hassinger, Elena; Zherlitsyn, Sergei; Ihara, Yoshihiko; Inosov, Dmytro S.
    This contains the data underpinning our recent paper on rouaite, Cu₂⁢(OH)₃⁢NO₃, published in Phys. Rev. B 110, 054442 (2024). The abstract of the article is reproduced below: Spinon-magnon mixing was recently reported in botallackite Cu2⁢(OH)3⁢Br with a uniaxially compressed triangular lattice of Cu2+ quantum spins [H. Zhang et al., Phys. Rev. Lett. 125, 037204 (2020)]. Its nitrate counterpart rouaite, Cu2⁢(OH)3⁢NO3, has a highly analogous structure and might be expected to exhibit similar physics. To lay a foundation for research on this material, we clarify rouaite's magnetic phase diagram and identify both low-field phases. The low-temperature magnetic state consists of alternating ferromagnetic and antiferromagnetic chains, as in botallackite, but with additional canting, leading to net moments on all chains which rotate from one chain to another to form a 90∘ cycloidal pattern. The higher-temperature phase is a helical modulation of this order, wherein the spins rotate from one Cu plane to the next. This extends to zero temperature for fields perpendicular to the chains, leading to a set of low-temperature field-induced phase transitions. Rouaite may offer another platform for spinon-magnon mixing, while our results suggest a delicate balance of interactions and high tunability of the magnetism.
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    Open Access
    Data Underpinning: Incommensurate and multiple-q magnetic misfit order in the frustrated quantum spin ladder material antlerite
    (Technische Universität Dresden, 2024-11-28) Kulbakov, Anton A.; Sadrollahi, Elaheh; Rasch, Florian; Avdeev, Maxim; Gaß, Sebastian; Corredor Bohorquez, Laura Teresa; Wolter, Anja U. B.; Feig, Manuel; Gumeniuk, Roman; Poddig, Hagen; Stötzer, Markus; Litterst, F. Jochen; Puente-Orench, Inés; Wildes, Andrew; Weschke, Eugen; Geck, Jochen; Inosov, Dmytro S.; Peets, Darren Campbell
    This contains the data underpinning our recent paper on antlerite, Cu₃⁢SO₄(OH)₄, published in Phys. Rev. B 106, 174431 (2022). The abstract of the article is reproduced here: In frustrated magnetic systems, the competition amongst interactions can introduce extremely high degeneracy and prevent the system from readily selecting a unique ground state. In such cases, the magnetic order is often exquisitely sensitive to the balance among the interactions, allowing tuning among novel magnetically ordered phases. In antlerite, Cu3⁢SO4⁢(OH)4, Cu2+ (𝑆=1/2) quantum spins populate three-leg zigzag ladders in a highly frustrated quasi-one-dimensional structural motif. We demonstrate that at zero applied field, in addition to its recently reported low-temperature phase of coupled ferromagnetic and antiferromagnetic spin chains, this mineral hosts an incommensurate helical+cycloidal state, an idle-spin state, and a multiple-𝑞 phase which is the magnetic analog of misfit crystal structures. The antiferromagnetic order on the central leg is reentrant. The high tunability of the magnetism in antlerite makes it a particularly promising platform for pursuing exotic magnetic order.
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    Open Access
    Data: Neural networks meet anisotropic hyperelasticity: A framework based on generalized structure tensors and isotropic tensor functions
    (Technische Universität Dresden, 2024-11-21) Kalina, Karl Alexander; Brummund, Jörg; Sun, WaiChing; Kästner, Markus
    This collection provides homogenized datasets including deformation gradient, free energy, stress tensor and material tangent for anisotropic hyperelastic composites. Five different representative volume elements (RVEs) are included: An RVE of a fiber reinforced material with stochastic fiber distribution (stochastic fibers), a unit cell with a hexagonal fiber arrangement (hexagonal fibers), a unit cell with one spherical inclusion (cubic sphere), an RVE with a plane-like arrangement of particles (plane spheres), and an RVE with an arrangement of particles in a chain-like structure (chain spheres). All components, i.e., matrix, particles and fibers are assumed to be compressible and isotropic. For all, a two-parametric neo-Hookean model was chosen. The data have been generated by using an in-house finite element code based on Matlab. The data belongs to the work "Neural networks meet anisotropic hyperelasticity: A framework based on generalized structure tensors and isotropic tensor functions" by Kalina et al.; https://doi.org/10.48550/arXiv.2410.03378. Further information on the data can be found there.
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    Open Access
    Datensatz zur Überarbeitung der SAP UCC Fallstudie "Materialwirtschaft"
    (Technische Universität Dresden, 2024-06-04) Rogas, Anja; Ott, Marko
    Der Datensatz umfasst Daten, welche im Rahmen der Übung "Materialwirtschaft" zur Lehrveranstaltung Grundlagen betrieblicher Anwendungssysteme in den im WiSe 22/23, SoSe 23, WiSe 23/24 und SoSe 24 erhoben worden sind. Folgende Daten wurden hierfür erfasst: - bildungsbiografische Daten - Big Five Inventory (BFI-10) - Skalen zur Erfassung der Lern- und Leistungsmotivation (SELLMO) - Fragebogen zur Erfassung aktueller Motivation (FAM) - Cognitive Load Scale - Wissenstest im Pre-Posttest-Design - SAP UCC GBI Fallstudienmonitor
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    Open Access
    Diffusion data of vertical partitioning of CO2 production in a forest soil
    (Technische Universität Dresden, 2024-10-29) Wordell-Dietrich, Patrick
    This dataset serves as a supplement to the 2020 publication (https://doi.org/10.5194/bg-17-6341-2020), providing detailed data for the determination of diffusion coefficients in core cylinders. Included are measurement results of bulk density and diffusivity as a function of the water content within the cylinders as well as the pF relation.