TU Dresden Data Publications

Permanent URI for this collectionhttp://opara.zih.tu-dresden.de/handle/123456789/15

Data publications from research of Dresden University of Technology.

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Now showing 1 - 20 of 116

Open Access
Additional data to the publication "Characterization of cell adhesion phenomena at the dental abutment/soft tissue interface by means of a dynamic cell culture model"
(Technische Universität Dresden, 2025-11-11) Angulo Salas, Laura Natalia; Kaiser, Friederike; Harrandt, Vaclav; Mehta, Kedar; Havlica, Jaromir; Wolf-Brandstetter, Cornelia
The paper describes the development of a flow chamber model for the assessment of cell adhesion strength under variable shear stress, her shown for human gingival cells to test cell adhesion phenomena under mechanical stress. This model is then applied in proof of principle experiments to two surface modification types that have promising surface properties and are intended for the application in dental Two types of datasets are provided: (1) raw image sets comprising combinations of microscopy images, each accompanied by corresponding metadata, and (2) processed datasets derived from individual physico-chemical measurements or on raw images. The 2nd datatype includes either basic statistical analyses—such as the calculation of means, standard deviations, standard errors, and associated statistical tests—or more advanced analyses performed through automated image processing. For the latter, the figures presented in the publication represent the results of image analyses conducted using custom-optimized macros. Each archive for each individual figure also contains the raw images, a data analysis file that compiles the raw output data generated by ImageJ, output of statistical tests as well as the respective final graphical representation. A detailed description of the data structure and image analysis workflow is provided in the accompanying README file. The macros used for image processing are published in Supplement 2 of the original publication. However, for convenience, they are also included here as standalone text files alongside a detailed instruction how to use the macros, assembled in the respective archive folder.
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.
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).
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.
Open Access
"Computational Homogenisation and Multiscale Modelling Employing an Image-based Approach for the Structural Analysis of Shells." - Data corresponding to publication
(Technische Universität Dresden, 2024-09-05) Mester, Leonie
This contribution contains the data for the presented numerical examples in the dissertation "Computational Homogenisation and Multiscale Modelling Employing an Image-based Approach for the Structural Analysis of Shells." by L. Mester (2024). Abstract of dissertation: "Shell structures represent efficient structural systems. Integrating materials with distinct properties, such as composites, can further enhance the structural performance of shells. These composite shell structures find application in various engineering fields, ranging from aerospace to civil engineering, providing a balance between strength and material consumption. Identifying the optimum designs, particularly in terms of load-bearing capacity and suitability, drives the need for accurate and efficient analysis methods accounting for the intricate material behaviour of composites. In the scope of this work, a first-order homogenisation method for the analysis of shell structures, taking into account a detailed description of the microstructure, is proposed. The method allows the simulation of the structural behaviour at different length scales within a single framework. Thus, providing an approach able to capture the microscopic morphology while being computationally efficient. Although homogenisation methods are widely used and thoroughly investigated for three-dimensional problems, their application to structural elements, such as shells, still poses challenges. Specifically, assessing the homogenised shear stiffness often yields inaccurate results. The main focus is on the coupling of the microscopic representative volume element (RVE) to the macroscopic shell formulation. For this purpose, three different boundary conditions for the RVE are presented. These differ mainly in the treatment of the macroscopic shear strain and impose different symmetry requirements on the RVE. Introducing an additional constraint at the microscopic scale corrects the homogenised shear stiffness components. Using linear-elastic benchmark examples, the approach is validated at the microscopic scale and further evaluated using multiscale examples, including geometrical and physical nonlinearities. In the context of civil engineering, the proposed method is applied to examine carbon reinforced concrete shell structures. Image-based methods are used to capture the microscopic structure with high accuracy. The aim of this work is to combine a numerical analysis method with an accurate internal description to allow for the evaluation of novel production techniques and structural designs of, but not limited to, carbon-reinforced concrete shell structures." This data has further been published within the (open-access) contribution: Mester, L., Klarmann, S. & Klinkel, S. Homogenization assumptions for the two-scale analysis of first-order shear deformable shells. Comput Mech 73, 795–829 (2024). https://doi.org/10.1007/s00466-023-02390-z
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.
Open Access
Crack monitoring with DFOS: Distributed strain measurements with various DFOS/adhesive combinations and model development for strain peak prediction
(Technische Universität Dresden, 2025-07-10) Herbers, Max; Richter, Bertram; Marx, Steffen
Coherent optical frequency domain reflectometry (c-OFDR) enables continuous and automated crack monitoring in concrete structures due to its high spatial resolution and long sensing range. However, the selection of a suitable DFOS/adhesive combination (DAC) remains a key challenge and is typically based on empirical knowledge. As a result, the monitoring quality is highly dependent on the user’s experience. Inappropriate choices can result in undetected cracks, degraded signal quality, miscalculated crack widths, or even fiber breakage. This study proposes a semi-analytical model for predicting strain curves for arbitrary crack patterns, based on experimentally derived parameters, such as sensitivity, strain lag parameter, and the extent of bond disturbance due to transverse cracking. The model was validated using strain measurements from tests on reinforced concrete specimens with multiple cracks. With only a few input parameters, it enables accurate representation of crack-induced strain peaks and allows for the consideration of measurement limitations typical for c-OFDR systems. Based on this, design charts and an open source software tool were developed to support practitioners in the systematic selection of DACs, tailored to the expected crack pattern.
Open Access
Data corresponding to paper: "Incorporation of a Viscoelastic-Elastoplastic Material Model for Asphalt based on the Multiscale Microlayer Model into an ALE Formulation for Pavement Structures Considering Dynamic Tire Loadings" by May et al. (submitted 2025)
(Technische Universität Dresden, 2025-09-12) May, Marcel; Anantheswar, Atul; Yordanov, Ventseslav; Derakhi, Elaheh; Hartung, Felix; Wollny, Ines; Eckstein, Lutz; Kaliske, Michael
This data publication contains the data related to the scientific contribution "Incorporation of a Viscoelastic-Elastoplastic Material Model for Asphalt based on the Multiscale Microlayer Model into an ALE Formulation for Pavement Structures Considering Dynamic Tire Loadings" by May et al. (submitted 2025). Abstract of the corresponding paper: During braking, acceleration, and steering maneuvers in road traffic, dynamic vertical loads are introduced into the pavement structure. These loads give rise to complex multiaxial stress states within the layered pavement structure, which consists of materials with differing mechanical behavior. The dynamic nature of these maneuvers requires that the resulting stress states have to be considered over large spatial and temporal intervals. In this work, a novel multiscale ALE-FEM approach is introduced for the first time, capable of capturing the complex, multiaxial stress states within the asphalt pavement during steering and acceleration maneuvers. Numerical efficiency and physical representativeness are achieved through the use of a finite viscoelastic–elastoplastic material model embedded in the microlayer framework, a thermodynamically derived multiscale approach that avoids the computational cost of a conventional FE² scheme. Additionally, the application of a dynamic Arbitrary Lagrangian-Eulerian (ALE) formulation ensures that the meshed geometry remains small in comparison to the extensive length of the actually traversed road section. To experimentally determine the loads generated by a tire during a steering maneuver, a single-wheel test rig is used, in which, the side slip angle is systematically varied. The measured data is then used to generate time- and space-resolved footprints, which serve as realistic boundary conditions for simulating tire pavement interaction.
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
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
Open Access
Data corresponding to the publication "Optical and acoustic plasmons in the layered material Sr2RuO4"
(Technische Universität Dresden, 2025-03-21) Schultz, Johannes; Lubk, Axel; Jerzembeck, Fabian; Kikugawa, Naoki; Knupfer, Martin; Wolf, Daniel; Büchner, Bernd; Fink, Jörg
We use momentum-dependent electron energy-loss spectroscopy in transmission to study collective charge excitations in the layer metal Sr2RuO4. This metal has a transition from a perfect Fermi liquid below T~30 K into a "strange" metal phase above T~800 K. We cover a complete range between in-phase and out-of-phase oscillations. Outside the classical range of electron-hole excitations, leading to a Landau damping, we observe well-defined plasmons. The optical (acoustic) plasmon due to an in-phase (out-of-phase) charge oscillation of neighbouring layers exhibits a quadratic (linear) positive dispersion. Using a model for the Coulomb interaction of the charges in a layered system, it is possible to describe the range of optical plasmon excitations at high energies in a mean-field random phase approximation without taking correlation effects into account. In contrast, resonant inelastic X-ray scattering data show at low energies an enhancement of the acoustic plasmon velocity due to correlation effects. This difference can be explained by an energy dependent effective mass which changes from ~ 3.5 at low energy to 1 at high energy near the optical plasmon energy. There are no signs of over-damped plasmons predicted by holographic theories.
Open Access
Data corresponding to the publication: "SU(N) altermagnetism: Lattice models, magnon modes, and flavor-split bands" by P. M. Cônsoli and M. Vojta (2025)
(Technische Universität Dresden, 2025-04-11) Monteiro Consoli, Pedro; Vojta, Matthias
This dataset contains the scripts that generated the data and figures from the preprint P. M. Cônsoli and M. Vojta, "SU(N) altermagnetism: Lattice models, magnon modes, and flavor-split bands", arXiv:2402.18629, which has been accepted for publication in Physical Review Letters.
Open Access
Data for "An Elephant Under the Microscope: Analyzing the Interaction of Optimizer Components in PostgreSQL"
(Technische Universität Dresden, 2025-01-23) Bergmann, Rico
This dataset presents benchmark data for the SIGMOD 2025 publication "An Elephant Under the Microscope: Analyzing the Interaction of Optimizer Components in PostgreSQL" (https://doi.org/10.1145/3709659). The dataset spans multiple different experiments, each analyzing how different components of relational query optimizers influence each other and how they perform when faced with faulty input. For each experiment a dedicated ZIP file is available. These files contain READMEs with technical information (e.g. table columns). Detailed descriptions of the individual experiments can be found in the actual publication, as well as in the code repository that provides the actual experiment scripts for reproducibility (available at https://github.com/db-tu-dresden/SIGMOD25-PostgreEval).
Open Access
Data for "Continuous order-to-order quantum phase transitions from fixed-point annihilation"
(Technische Universität Dresden, 2025-01-31) Moser, David J.; Janssen, Lukas
The archive contains the data used to construct Fig. 2, Fig. 3, and Fig. S5 of the manuscript "Continuous order-to-order quantum phase transitions from fixed-point annihilation" by David J. Moser and Lukas Janssen [arXiv:2412.06890]. The work exploits mean-field theory and renormalization group approaches to unveil several examples of continuous order-to-order quantum phase transitions from fixed-point annihilation.
Open Access
Data for "Dirac quantum criticality in twisted double bilayer transition metal dichalcogenides"
(Technische Universität Dresden, 2025-09-09) Biedermann, Jan; Janssen, Lukas
The archive contains the data used to construct Figs. 2-6 and 8 of the paper "Dirac quantum criticality in twisted double bilayer transition metal dichalcogenides" by Jan Biedermann and Lukas Janssen [arXiv:2509.04561]. The work uses self-consistent Hartree-Fock calculations to compute the phase diagram of twisted double bilayer transition metal dichalcogenides as a function of the twist angle and applied pressure.
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).
Open Access
Data for "Ferrimagnetism from quantum fluctuations in Kitaev materials"
(Technische Universität Dresden, 2025-07-16) Francini, Niccolò; Cônsoli, Pedro M.; Janssen, Lukas
The archive contains the data used to construct Fig. 4, Fig. 5, Fig. 6, and Fig. 8 of the paper "Ferrimagnetism from quantum fluctuations in Kitaev materials" by N. Francini, Pedro M. Cônsoli, and L. Janssen [arXiv:2507.10654]. The work uses symmetry arguments and linear spin-wave theory to study the ferrimagnetic response of extended Kitaev-Heisenberg-Gamma models.
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.
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.
Open Access
Data for "Left-Right Husimi Representation of Chaotic Resonance States: Invariance and Factorization"
(Technische Universität Dresden, 2025-11-07) Lorenz, Florian; Schmidt, Jan Robert; Ketzmerick, Roland
This is the data for the figures in the paper "Left-Right Husimi Representation of Chaotic Resonance States: Invariance and Factorization" (New Journal of Physics 2025, arXiv:2507.10431 [nlin.CD]).

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