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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  • ItemOpen Access
    Operational characteristics of a representative Hollow Cathode Electron Emitter (HCE) device with C12A7:e- emitter
    (Technische Universität Dresden, 2025-12-19) Berka, Elisabeth; Wulfkühler, Jan-Philipp; Tajmar, Martin
    Ignition and operation testing of the hollow cathode electron emitter (HCE) designed at the Institute of Aerospace Engineering of TUD Dresden University of Technology for the E.T.PACK-Fly in-orbit demonstration (IOD) mission with a C12A7:e- electron emitter. Testing conducted in triode mode with different laboratory electronics (e.g., 100–300 µF), krypton gas, and variable operating parameters (i.e., emission current and mass flow rate).
  • ItemOpen Access
    Monitoring data to explore particle size distribution and elemental composition in a stormwater outlet from a German urban catchment
    (Technische Universität Dresden, 2025-12-19) Benisch, Jakob; Rojas-Gómez , Karen L.; Helm, Björn; Borchardt, Dietrich; Krebs, Peter
    This repository presents a dataset comprising online monitoring turbidity and discharge data measured with a high temporal resolution at the stormwater outlet of a small urban catchment in Dresden, Germany. Additionally, for selected rainfall-runoff events, the following data were produced: total suspended solids concentrations and their particle size distribution (<63 µm: fine particles; >63 µm: coarse fraction), their elemental composition and organic content. The online monitoring data covers January 2018 - August 2022, whereas the sampled data were collected during September 2018 - 2021. These data are optimal for exploring flush dynamics, transport patterns of particles and particle-bound pollutants, and for developing and validating particle transport formulations in urban drainage models. This will allow a better identification of stormwater treatment and management strategies to effectively address different pollutant flushes, to support regulatory decision-making, and to minimise the impact of stormwater discharges on the receiving water bodies.
  • ItemOpen Access
    Experimental procedure for the tests on the openLAB from 2025-05-05 to 2025-05-07
    (Technische Universität Dresden, 2025-12-19) Richter, Bertram; Ulbrich, Lisa; Kielreiter, Anett; Jansen, Andreas; Röder, Robert; Walker, Maria; Jesse, Frank
    This dataset presents the experimental campaign and monitoring data from the openLAB research bridge, a large-scale laboratory structure located in Bautzen, Germany. The experimental campaign with damaging loading tests was carried out between 2025-05-05 and 2025-05-07 (inclusive). The dataset includes the protocol of the measurement campaign, monitoring data for air temperature and structural temperature, humidity, solar radiation as well as tilt measurements. Data are sourced from an electrical Gantner Instruments measurement system (Q.station 101T, with various Q.bloxx modules) and several testo 176 T4 data loggers. Datasheets for all sensors and data loggers are provided. The repository provides the data in Comma Separated Values (CSV) and Tab Separated Values (TSV) format. Each file includes a header specifying the names of the data columns. Additional details, such as units and sampling frequency, are provided in this README file. Each CSV file contains a Timestamp column that records the time of each sample as a datetime string in ISO 8601 format, without time zone information. All timestamps are in Coordinated Universal Time (UTC). Sensor data is represented as decimal numbers.
  • ItemOpen Access
    The WoKaS-Iso Database: Workflow for a Global Compilation of Oxygen-18 and Deuterium Records in Karst Springs and Cave Drip Water for Enhanced Understanding of Karst Systems
    (Technische Universität Dresden, 2025-12-19) Zang, Yining
    For analysing karst hydrogeological systems, observations of karst springs and cave drips are considered indispensable. In addition to hydrometric observations, knowing the oxygen and hydrogen stable isotope ratios has improved the understanding of vadose zone and aquifer dynamics, likewise supporting system characterisation and modelling. However, limited accessibility and high costs of the analysis of stable isotopes in karst aquifers have hindered progress in karst research and impeded the accurate understanding of karst processes especially when it comes to comparative or large-scale studies. In this study, we present our workflow to compile the WoKaS-Iso database, the first extensive collection of time series data for Oxygen-18 and Deuterium isotopes in karst springs and cave drip water from diverse sources, encompassing publications, theses, reports, online archives, and collaborative initiatives worldwide. The database incorporates data sourced from 236 springs and 74 caves, comprising in total 1002 time series (381 time series for the springs and 621 time series for the cave drip water). These datasets provide coverage across significant karst regions globally, spanning China, the USA, Europe, the Middle East, and Australia. Within datasets, 79% for springs and 68% for cave drip water exhibit resolutions finer than monthly intervals. In addition, by integrating isotopic records with ancillary environmental variables including spring discharge, cave drip rate, precipitation, and rainwater isotopes, the database offers a more comprehensive perspective on hydrological behaviours in karst aquifers, hence advancing hydrogeological characterisation and modelling. The WoKaS-Iso database not only deepens the understanding of the complex systems but also promotes sustainable water resource management as well as the potential to foster collaborative research.
  • ItemOpen Access
    Dataset for object detection of charcoal kiln sites
    (Technische Universität Dresden, 2025-12-18) Rünger, Carolin; Neubauer, Grit; Zamboni, Pedro; Van der Maaten-Theunissen, Marieke; Eltner, Anette
    This dataset provides a collection of processed airborne LiDAR data and associated annotations of historical charcoal kiln sites in the Erzgebirgskreis district of Saxony, Germany for object detection. The starting point is raw LiDAR data, from which a digital terrain model (DTM) was first derived. Based on this, various DTM derivatives were calculated, which are used as three-channel input data (hillshade, slope and sky-view factor) for a convolutional neural network. The dataset includes training, validation and test data, including annotations, as well as trained model weights and configuration files for inference. In addition, model predictions for test areas in the Ore Mountains (Saxony) and for the Kermeter mountain range in the Rureifel (North Rhine-Westphalia) are included. To ensure reproducibility, suitable Conda environments for training and inference with MMDetection v2.28.2 are also provided.
  • ItemOpen Access
    Data corresponding to paper: "Investigating end-of-life allocation approaches for bituminous mixtures" by Haverkamp et al. (2025)
    (Technische Universität Dresden, 2025-12-16) Haverkamp, Pamela; Hartung, Felix; Traverso, Marzia; Lo Presti, Davide
    This data publication contains the data related to the scientific contribution "Investigating end-of-life allocation approaches for bituminous mixtures" by Haverkamp et al. (2025) Abstract of the corresponding paper: This study examines end-of-life (EoL) allocation in Life Cycle Assessment (LCA) of bituminous mixtures, comparing four: 0:100 (EoL burdens and credits attributed to secondary material producer), EN 15804 (burden split at end-of-waste), 50:50 (burdens and credits divided equally), and Circular Footprint Formula (CFF) (allocation considering market situation). Notably, this is the first application of the CFF to bituminous mixtures. Each method is evaluated regarding recyclability, downcycling avoidance, applicability to bituminous mixtures, and loop considerations. In the case study, the 0:100 method yielded the lowest Climate Change impact (-10.7 kg CO2 eq./t), followed by EN 15804, 50:50, and CFF (65.1 kg CO2 eq./t). While 0:100 and 50:50 were the most straightforward approaches, EN 15804 and CFF were more sensitive to market conditions. Sensitivity analyses covering reclaimed asphalt content, binder availability, quality ratio, and EoL fate highlighted the importance of selecting appropriate allocation methods to ensure accurate results and support circular economy strategies.
  • ItemOpen Access
    Data for "Exact nematic and mixed magnetic phases driven by competing orders on the pyrochlore lattice"
    (Technische Universität Dresden, 2025-12-12) Francini, Niccolò; Schmidt, Lukas; Janssen, Lukas; Lozano-Gómez, Daniel
    The archive contains the data used to construct Figs. 1, 5-8, 12-14, and 21 of the manuscript "Exact nematic and mixed magnetic phases driven by competing orders on the pyrochlore lattice" by N. Francini, L. Schmidt, L. Janssen, and D. Lozano-Gómez [arXiv:2510.23704].
  • ItemOpen Access
    Digitale Unterlagen der openLAB Versuchsbrücke mit Stand November 2025
    (Technische Universität Dresden, 2025-12-11) Collin, Fabian; Richter, Bertram; Ulbrich, Lisa; Dunkel, Stephan; Jesse, Frank
    Die Forschungsbrücke "openLAB" wurde im Rahmen des Forschungsprojektes IDA-KI (Automatisierte Bewertung der Monitoringdaten von Infrastrukturbauwerken mithilfe von KI und IoT) auf dem Werksgelände der Hentschke Bau GmbH errichtet. Es dient zur Erforschung und Erprobung unterschiedlicher Bauwerksmonitoring. Das digitale Modell wurden in der Common Data Environment (CDE) "EPLASS" organisiert. Der Umfang der CDE beinhaltet Unterlagen aus den Phasen der Planung, Ausführung und dem Betrieb und umfasst sowohl das Bauwerk selbst, als auch einen Teil der installierten Monitoringsysteme, allerdings keine Monitoringdaten. Dieser Datensatz ist ein Abzug der in der CDE enthaltenen Daten mit dem Stand vom 2025-11-29.
  • ItemOpen Access
    The Dresden Dataset for 4D Reconstruction of Non-Rigid Abdominal Surgical Scenes
    (Technische Universität Dresden, 2025-12-10) Docea, Reuben; Younis, Rayan; Long, Yonghao; Fleury, Maxime; Xu, Jinjing; Li, Chenyang; Schulze, André; Wierick, Ann; Bender, Johannes; Pfeiffer, Micha; Dou, Qi; Wagner, Martin; Speidel, Stefanie
    The D4D Dataset provides paired endoscopic video and high-quality structured-light geometry for evaluating 3D reconstruction of deforming abdominal soft tissue in realistic surgical conditions. Data were acquired from six porcine cadaver sessions using a da Vinci Xi stereo endoscope and a Zivid structured-light camera, registered via optical tracking and manually curated iterative alignment methods. Three sequence types - whole deformations, incremental deformations, and moved-camera clips - probe algorithm robustness to non-rigid motion, deformation magnitude, and out-of-view updates. Each clip provides rectified stereo images, per-frame instrument masks, stereo depth, start/end structured-light point clouds, curated camera poses and camera intrinsics. In postprocessing, ICP and semi-automatic registration techniques are used to register data, and instrument masks are created. The dataset enables quantitative geometric evaluation in both visible and occluded regions, alongside photometric view-synthesis baselines. Comprising over 300,000 frames and 369 point clouds across 98 curated recordings, this resource can serve as a comprehensive benchmark for developing and evaluating non-rigid SLAM, 4D reconstruction, and depth estimation methods.
  • ItemOpen Access
    Determination of the material behavior of asphalt using performance-oriented test methods
    (Technische Universität Dresden, 2025-12-09) Kamratowsky, Erik; Hartung, Felix; Leischner, Sabine; Zeißler, Alexander
    The tests carried out included a Stone Mastic Asphalt with a maximum grain size of 11 mm (SMA 11 S). Greywacke was selected as the aggregate and dolomite with 10% hydrated limestone as the filler. A polymer-modified bitumen of the type 40/80-85 A was used as the binder, and the binder content was varied from 6.0 M-% to 8.0 M-% in order to determine the optimum binder content. The SMA 11 S was mixed in the pavement laboratory of the Technical University of Dresden. For this purpose, the asphalt was mixed in a mixer. The slabs were then produced using a rolling compactor. Samples were taken from the slabs and assigned a numerical identifier according to the order in which the cores were taken. Consequently, the names of the samples do not correspond to any of the names given in the guidelines. The stiffness and fatigue behavior were determined using the indirect tensile test (according to TP Asphalt-StB 2018, Parts 24 and 26), the deformation behavior using the (uniaxial) compression test on a slim sample (according to AL DSV slim 2024), and the low-temperature behavior using the thermal stress restrained specimen Test (according to TP Asphalt-StB 2013, Part 46 A). The results of these tests are presented for all asphalt variants in this data publication. In contrast to the guideline AL DSV slim 2024, other maximum stresses were utilized in the third stage at temperatures of 30 °C and 40 °C. This enabled the assessment of greater loading on the sample, thereby providing a more accurate indication of the deformation behavior of the high-performance asphalt.
  • ItemOpen Access
    Behavioral data from the Individuality paradigm
    (Technische Universität Dresden, 2025-12-08) Kempermann, Gerd
    The data sets contain pre-processed raw data of antenna contacts of mice cohorts living within the Individuality set-up (ColonyRack), i.e. 70 connected cages that provide one large enriched environment. The data sets contain raw and processed data from antenna contacts that the mice made across the experimental period. The R package 'ColonyTrack' (https://rupertoverall.net/ColonyTrack/) was used to generate the data, which are presented in the compressed RData format. The two files contain the data for all individual mice in the experiments of both genotypes, Cyclin D2 knockouts and wildtypes with all spatial and temporal coordinates along with the mouse IDs.
  • ItemOpen Access
    Data from "Come fly with me" VR study on Reducing Cybersickness with Foveated Depth of Field Blur across varying Locomotion Control conditions
    (Technische Universität Dresden, 2025-12-03) Josupeit, Judith; Helmert, Jens; Hussain, Razeen; Solari, Fabio; Chessa, Manuela
    Cybersickness, which is characterized by symptoms such as general discomfort, headaches, and nausea, is a common issue in virtual reality (VR) that negatively impacts the accessibility and user experience. Foveated depth of field blur rendering (FovDof) uses the perceptual limitations of the human eye to mitigate cybersickness. However, the external validity of this countermeasure is limited. To increase the external validity, an interactive task is introduced. In addition, the study introduces two levels of locomotion control (3 vs. 6DoF). Along with subjective measures focusing on cybersickness symptoms (SSQ/MISC), objective performance measures (eye tracker sampling frequency) were analyzed. Based on valid data from 65 participants, the analysis revealed significant main effects for both rendering and locomotion control factors for the objective measures. However, the effects of the two types of measures are in opposite directions. For the subjective measures, the combination of full rendering and 3DoF locomotion control resulted in the highest cybersickness values. These results suggest that the applicability of FovDof is universal, even when a task is included, and can be implemented using other eye tracking software and hardware. However, limited customizability for VR headsets limits the applicability. In cases where full locomotion control is provided to the user, the FovDof algorithm does not have additional mitigating effects.
  • Item
    Measurement Data for "An Analysis of Energy Efficiency Features in Intel Sapphire Rapids Processors"
    (Technische Universität Dresden, 2025-12-02) Schmidl, Markus
    This dataset contains performance measurement data which is used to classify internal mechanisms and characteristics that facilitate the tuning of energy efficiency on the Intel Sapphire Rapids processor generation. The data is generated from measurement configurations and code hosted at the following git repository: https://github.com/marenz2569/2025-sappire-rapids-ee
  • ItemOpen Access
    Tire Footprint Measurements of Commercial Truck Tires
    (Technische Universität Dresden, 2025-12-02) Yordanov, Ventseslav; Hartung, Felix; Eckstein, Lutz
    This data publication presents high-resolution measurements of tire contact patch pressure distributions obtained using a capacitive pressure-mapping sensor with 1.6 mm spatial resolution and 65,536 sensing points. The dataset captures contact pressures between 69 kPa and 2070 kPa for two commercial truck tires. Footprints were recorded at various wheel loads under a constant inflation pressures, providing detailed insight into load-dependent pressure behavior. All measurements were taken with the sensor mounted on a flat surface within the experimental setup, while the ika’s tire stiffness test rig (SteiReP) supplied controlled loading conditions to ensure repeatable data acquisition.
  • ItemOpen Access
    FAVORS - Measurements Q1/2025 - In Vivo Impedance Measurements on Anastomotic Tissue in 7 Different Anastomoses in the Small Intestine of a German Landrace Pig
    (Technische Universität Dresden, 2025-11-25) Jaekel, Finn; Kantelberg, Richard; Kleemann, Hans
    This dataset contains all experimental data from the in vivo measurements on 29th and 30th January 2025 at the University Hospital Rostock, Institute for Experimental Surgery, in the scope of the FAVORS Project. Impedance measurements were performed on an implanted sensor ring inside of 7 different anastomoses in the small intestine of a German Landrace Pig.
  • ItemOpen Access
    Photographic documentation of crack development on the openLAB during the loading test on 2025-05-06
    (Technische Universität Dresden, 2025-11-17) Richter, Bertram; Walker, Maria; Müller, Marie Luise; Speck, Kerstin; Collin, Fabian
    Between 2025-05-05 and 2025-05-07, extensive experiments were carried out on the openLAB research bridge. The test program was structured as follows: - Day 1 (2025-05-05): Static and dynamic measurements in the reference state - Day 2 (2025-05-06): Loading of the bridge with hydraulic jacks up to the ultimate limit state - Day 3 (2025-05-07): Local damage to the prestressing tendons (cutting wires at several locations) This dataset contains pictures of cracks in the precast element (PE) 2.1 during the load test conducted on day 2. The load was applied locally to the prestressed element (PE) 2.1 (span 2, PE axis 1) using two hydraulic jacks and increased in steps up to a total of 400 kN. The pictures were taken using a Dino-Lite AM4113T digital microscope connected to a laptop running the DinoCapture 2.0 software. One set of pictures was taken for each load step, before applying the load and during the plateau of constant deflection (5 mm, 10 mm, 20 mm, 30 mm, 40 mm, 50 mm, 60 mm).
  • ItemOpen Access
    Weigh-in-Motion and Environmental Data from a German Highway
    (Technische Universität Dresden, 2025-11-13) Hagmanns, Moritz Peter Mathias; Jablkowski, Boguslaw; Hartung, Felix; Fazekas, Adrian; Oeser, Markus
    Weigh-in-Motion (WIM) systems capture traffic-induced loads under real driving conditions, providing valuable insights into pavement loading. This dataset was collected within the DFG Collaborative Research Center SFB/TRR 339 “Digital Twin Road” using the project’s research WIM installation on the main lane of the A1/A61 highway near Erftstadt, Germany. It originates from Kistler’s KiTraffic Digital system and includes measurements from two sensor rows (four Lineas Digital sensors, type 9181A). Over a six-month observation period in 2025, 3.26 million vehicles with a total of 9.55 million axles were recorded. Each vehicle record provides detailed information on vehicle classification, loads, geometry, and tire-patch dimensions, which are rarely available from real-world WIM systems. In addition, separate environmental factors — such as asphalt and air temperature as well as solar irradiance — were recorded. The dataset supports analyses of load distributions, traffic composition, environmental factor, and speed characteristics, contributing to data-driven modeling of infrastructure loading and digital twins of road systems.
  • ItemOpen 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.
  • ItemOpen Access
    Influence of various types of modification on the material behavior of bitumen
    (Technische Universität Dresden, 2025-11-11) Kamratowsky, Erik; Hartung, Felix; Leischner, Sabine; Zeißler, Alexander
    The present study investigated the influence of various types of modifications on the material behavior of bitumen. The stiffness behavior was examined using a temperature-frequency sweep, and the deformation behavior was examined using an adapted Single Stress Creep Recovery (SSCR) test. These tests were carried out on Anton Paar's Dynamic Shear Rheometer (DSR) utilizing the plate-plate geometry. The Anton Paar DSR was also employed to assess fatigue and low-temperature behavior, utilizing a solid-sample geometry. The tests are described in more detail in "Chemical and Mechanical Characterisation of Sbs-Modified Bitumen" by Kamratowsky et al. (submitted 2025).
  • ItemOpen 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]).