TU Dresden Data Publications
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Data publications from research of Dresden University of Technology.
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- ItemOpen AccessMeasuring active fluctuations of the cortex in mitosis by embedding an AFM cantilever pyrimidal tip(Technische Universität Dresden, 2025-11-04) Narinder, Narinder; Elisabeth, Fischer-FriedrichLiving cells exhibit non-equilibrium dynamics emergent from the intricate interplay between molecular motor activity and its viscoelastic cytoskeletal matrix. The deviation from thermal equilibrium can be quantified through frequency-dependent effective temperature or time-reversal symmetry breaking quantified e.g. through the Kullback-Leibler divergence. Here, we investigate the fluctuations of an AFM tip embedded within the active cortex of mitotic human cells with and without perturbations that reduce cortex activity through inhibition of material turnover or motor proteins. While inhibition of motor activity significantly reduces both effective temperature and time irreversibility, inhibited material turnover leaves the effective temperature largely unchanged but lowers the time irreversibility and entropy production rate. Our experimental findings in combination with a minimal model highlight that time irreversibility, effective temperature and entropy production rate can follow opposite trends in active living systems, challenging in particular the validity of effective temperature as a proxy for the distance from thermal equilibrium. Furthermore, we propose that the strength of thermal noise and the occurrence of time-asymmetric deflection spikes in the dynamics of regulated observables are inherently coupled in living systems, revealing a previously unrecognized link between entropy production and time irreversibility.
- ItemOpen AccessNoise Estimation and Suppression in Quantitative EMCD Measurements(Technische Universität Dresden, 2025-11-03) Makino, HitoshiQuantitative electron magnetic circular dichroism (EMCD) in transmission electron microscopy (TEM) enables the measurement of magnetic moments with elemental and atomic site sensitivity, but its practical application is fundamentally limited by noise. This study presents a comprehensive methodology for noise estimation and suppression in EMCD measurements, demonstrated on Ti-doped barium hexaferrite lamellae. By employing a classical three-beam geometry and long-term acquisition of electron energy-loss spectra, we systematically analyze the signal-to-noise ratio (SNR) across individual energy channels using bootstrap statistics. A robust energy alignment procedure based on the neighboring Ba-M4,5 edges with an adequate energy upsampling is introduced to minimize systematic errors from energy misalignment. The impact of detector noise, particularly from CMOS-based EELS cameras, is evaluated through variance-to-mean analysis and described by the noise amplification coefficients, revealing that detector-amplified shot noise is the dominant noise source. We recommend a stricter SNR threshold for reliable EMCD detection and quantification, ensuring that critical spectral features such as the Fe-L2,3 peaks meet the requirements for quantitative analysis. The approach also provides a framework for determining the minimum electron dose necessary for valid measurements and can be generalized to scintillator-based or direct electron detectors. This work advances the reliability of EMCD as a quantitative tool for magnetic characterization at the nanoscale with unknown magnetic structures. The proposed procedures lay the groundwork for improved error handling and SNR optimization in future EMCD studies.
- ItemOpen AccessDatasets for paper "Scanning the IPv6 Internet Using Subnet-Router Anycast Probing"(Technische Universität Dresden, 2025-10-30) Koch, Maynard; Hiesgen, Raphael; Nawrocki, Marcin; Schmidt, Thomas C.; Wählisch, MatthiasThis dataset is supplement to https://doi.org/10.5281/zenodo.17210253 and contains all the necessary data to re-create plots and tables of the following paper: Scanning the IPv6 Internet Using Subnet-Router Anycast Probing Maynard Koch, Raphael Hiesgen, Marcin Nawrocki, Thomas C. Schmidt, and Matthias Wählisch Proc. ACM Netw., Vol. 3, No. CoNEXT4, Article 50. Publication date: December 2025. https://doi.org/10.1145/3768997 Paper Abstract: Identifying active IPv6 addresses is challenging. Various methods emerged to master the measurement challenge in this huge address space, including hitlists, new probing techniques, and AI-generated target lists. In this short paper, we apply active Subnet-Router anycast (SRA) probing, a commonly unused method to explore the IPv6 address space. We compare our results with lists of active IPv6 nodes obtained from prior methods and with random probing. Our findings indicate that probing an SRA address reveals on average 10% more router IP addresses than random probing and is far less affected by ICMP rate limiting. Compared to targeting router addresses directly, SRA probing discovers 80% more addresses. We conclude that SRA probing is an important addition to the IPv6 measurement toolbox and may improve the stability of results significantly. We also find evidence that some active scans can cause harmful conditions in current IPv6 deployments, which we started to fix in collaboration with network operators.
- ItemOpen AccessResearch Data supporting the publication "Robust cytoplasmic partitioning by solving a cytoskeletal instability”(Technische Universität Dresden, 2025-10-23) Rinaldin, Melissa; Kickuth, Alison; Xu, Yitong; Brugués, JanThis dataset contains fluorescence imaging raw data and Python and ImageJ analysis scripts that were produced during the study of microtubule asters in frog egg extract and zebrafish and fruit fly embryos. The fluorescence images and time sequences consist of (1) investigations of stability and patterning phenotypes by labelling microtubules, DNA, lipids, and mitochondria, (2) study of microtubule density and polymerisation speed with imaging of EB1 comets, and (3) study of microtubule turnover with tubulin speckles and FRAP. The Research Data are organised by Figure and Extended Data Figure numbers of the manuscript, with detailed descriptions provided in the publication.
- ItemOpen AccessData Underpinning: Disorder-driven magnetic duality in the spin-½ system ktenasite, Cu₂.₇Zn₂.₃(SO₄)₂(OH)₆·6H₂O(Technische Universität Dresden, 2025-10-17) Parui, Kaushick K.; Kulbakov, Anton A.; Gumeniuk, Roman; Carrillo-Aravena, Eduardo; Fernández-Díaz, María Teresa; Savvin, Stanislav; Korshunov, Artem; Granovsky, Sergey; Doert, Thomas; Inosov, Dmytro S.; Peets, Darren C.Article abstract: Disorder in frustrated quantum systems can critically influence their magnetic ground states and drive exotic magnetic behavior. In the S = ½ system ktenasite, Cu₂.₇Zn₂.₃(SO₄)₂(OH)₆·6H₂O, we show that structural disorder drives an unexpected dimensional crossover and stabilizes a rare coexistence of distinct magnetic states. Neutron diffraction reveals significant Cu/Zn mixing at the Cu2 site, which tunes the Cu²⁺ sublattice from a two-dimensional scalene-distorted triangular lattice into a one-dimensional spin-chain network. Magnetic susceptibility, neutron diffraction, ac susceptibility, and specific heat measurements collectively indicate magnetic duality: a coexistence of incommensurate long-range magnetic order below TN = 4 K and a cluster spin-glass state with Tf = 3.28 K at f = 10 Hz. Our findings highlight ktenasite as a rare platform where structural disorder tunes the effective dimensionality and stabilizes coexisting ordered and glassy magnetic phases, offering a unique opportunity to explore the interplay of frustration, disorder, and dimensional crossover in quantum magnets.