TU Dresden Data Publications

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Data publications from research of Dresden University of Technology.

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  • Item
    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.
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    Open Access
    Data for Simon Nogo_NFL_nCREANN
    (Technische Universität Dresden, 2025-03-13) Elmers, Julia Kristina; Mückschel, Moritz; Akgün, Katja; Ziemssen, Tjalf; Beste, Christian
    The data set includes raw behavioral data (logfiles) from the Simon Nogo task, raw preprocessed EEG data, and NFL data of 55 healthy participants. Further, all customized scripts for the analyses are provided.
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    Open Access
    OC_Identifier - Programm to use OC trained AI for the assessment of their state of maturation
    (Technische Universität Dresden, 2025-03-11) Lv, Guofan; Kruppke, Benjamin
    This programm is part of the project, that has successfully trained an AI that can classify and calculate four cell types. This AI is practical and has a bright future in terms of cell identification. YOLOv5m was used for this AI training. With a better computer configuration, YOLOv5x can be used for training to obtain an even better AI model. Ultralytics is the software company that developed YOLOv5. It released the latest YOLO series version, YOLOv8, in January 2023. This new framework can lead to better training results. In addition to known improvement methods, AI technology has greater prospects. YOLOv5 can be combined with other AI frameworks to predict cell growth trends. AI can also make suggestions about cell culture conditions (temperature, media, frequency of media exchange, etc.) based on growth trends. The AI framework can also be combined with other devices, for example, to control robotic arms and microscopes to automatically complete image acquisition. With the help of this AI, laboratory staff can be freed from the tedious task of counting cells and do much more.
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    Open Access
    Learning Gentle Grasping Using Vision, Sound, and Touch
    (Technische Universität Dresden, 2025-03-11) Nakahara, Ken; Calandra, Roberto
    This dataset contains 1,500 robotic grasps collected for the paper of Learning Gentle Grasping Using Vision, Sound, and Touch. Additionally, we provide a description of this dataset and Python scripts to visualize the data and process raw data into a training dataset for a PyTorch model. The robotics system used consists of a multi-fingered robotic hand (16-DoF, Allegro Hand v4.0), 7-DoF robotic arms (xArm7), DIGIT tactile sensors, an RGB-D camera (Intel RealSense D435i), and a commodity microphone. The target object is a toy that emits sound when grasped strongly.
  • Item
    Open Access
    Raw data of the paper "Brillouin spectroscopic investigation of corneal hydration and the impact of cross-linking therapy on water retention"
    (Technische Universität Dresden, 2025-03-06) Rix, Jan; Steuer, Svea
    Raw Brillouin, Raman and PS-OCT data acquired within the project and paper "Brillouin spectroscopic investigation of corneal hydration and the impact of cross-linking therapy on water retention"