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.
Browse
Recent Submissions
Now showing 1 - 20 of 156
Item Open Access Dental Anxiety and preventive dental care in 102 Patients in a oral surgery practice(Technische Universität Dresden, 2026-05-08) Berth, Hendrik; Quorri, Rezart; Cunoti, NertsaThe dataset contains questionnaire responses from 102 patients. These patients (42 males and 60 females with a mean age of 40.3 years) visited an oral surgery practice in Saxony, Germany, between December 2019 and June 2020. They completed the Dental Anxiety Scale (DAS) questionnaire, as well as answering six questions on preventive dental care. Examples of these questions are “How many times a day do you brush your teeth?” and “How often per year do you have your teeth professionally cleaned?”. The patients' gender, age, marital status, educational background and occupation were also recorded.Item Open Access Multi-Domain Optimization for Networked Control Systems(Technische Universität Dresden, 2026-04-30) Pallewaththe Kankanamge, Hasal Dinusankha Kulasekara; Soler Perez Olaya, Santiago; Wollschlaeger, MartinThis repository contains the experimental artifacts for our paper on multi-domain model-driven optimization for networked control systems, providing a comprehensive suite of resources for system modeling and evaluation, including: - plant-side dynamical models, - communication-delay models, - neural-network surrogate training and evaluation, - objective-function analysis for accuracy-versus-computation trade-offs, and - optional Hailo deployment and latency measurements.Item Open Access Appendix300: Surgical video and patient metadata of 330 laparoscopic appendectomy cases from five institutions(Technische Universität Dresden, 2026-04-29) Kolbinger, Fiona R; Kirchner, Max; Pfeiffer, Kevin; Bodenstedt, Sebastian; Jenke, Alexander C; Barthel, Julia; Carstens, Matthias; Dehlke, Karolin; Dietz, Sophia; Emmanouilidis, Sotirios; Fitze, Guido; Freitag, Martin; Holderried, Fabian; Jacobi, Thorsten; Kanjo, Weam; Leitermann, Linda; Mees, Sören Torge; Pistorius, Steffen; Prudlo, Conrad; Seiberth, Astrid; Schultz, Jurek; Thiel, Karolin; Ziehn, Daniel; Speidel, Stefanie; Kather, Jakob Nikolas; Distler, Marius; Saldanha, Oliver LesterThe limited availability of diverse and representative training data poses a critical barrier to the development of clinically relevant computational tools for intraoperative surgical decision support. Surgical procedures are not routinely recorded, and data annotation requires domain expertise, resulting in a scarcity of open-access surgical video datasets with high-quality annotations. Existing datasets are typically limited to single institutions and specific procedures, such as cholecystectomy, and rarely comprise patient-level metadata like demographic characteristics, disease history, or laboratory parameters. The Appendix300 dataset comprises 330 laparoscopic surgery recordings, including 325 full-length laparoscopic appendectomies and 5 control recordings from non-appendectomy procedures in pediatric and adult patients treated at five German centers. The dataset includes patient-level clinical metadata (demographics, medical history, clinical symptoms, preoperative laboratory parameters, and histopathological findings, as well as standardized expert annotations of the laparoscopic grade of appendicitis. This dataset enables novel validation tasks for computer vision in laparoscopic surgery and facilitates simulation of decentralized learning approaches, overall enhancing the breadth and translational relevance of AI-based surgical video analysis.Item Open Access Airborne Laser Scanning, Elevation Models and True Orthophoto Mosaic of the Saxon–Bohemian Switzerland National Park Region from 2005(Technische Universität Dresden, 2026-04-27) Trommler, MarcoThe digital data has been created during an INTERREG IIIA project in the period from January 2004 up to December 2006. The main task of the project is the planning and finalisation of activities to create a homogeneous geographic data set including high accuracy topographic and optical data for the whole cross-border national park region Saxon- Bohemian Switzerland. Data acquisition was provided using one sensor system without splitting the region into several parts. Laser scanner data with a minimum of 1 measurement point per square meter and 50% overlap across flight direction, colour infrared and RGB imagery have been collected simultaneously. After the successful finalisation of data acquisition all the data was processed in order to produce high quality digital terrain models (DTM) and high resolution true ortho imagery mosaics. The data acquisition has been taken by TopoSys GmbH (Biberach, Germany) in Spring 2005 using the FALCONII sensor system. The mission was flown in March in the period from April 14th, 2005 to May 1st, 2005 (16 flights on 11 days). The true ortho imagery mosaic was completely created by TopoSys.Item Open Access DIA-WALD Surveys(Technische Universität Dresden, 2026-04-17) Liebal, Sandra; Köhler, JosephineThe study includes online surveys of providers and participants in participatory forest-based initiatives, as well as guided expert interviews with the providers. This dataset contains the questionnaires and their operationalizations.Item Open Access Evolution and adaptations of the seminal proteome in an insect with traumatic insemination(Technische Universität Dresden, 2026-04-14) Garlovsky, MartinThe protein composition of sperm and seminal fluid are key to male fitness. However, we currently lack an understanding of the factors that shape seminal proteome composition. The common bedbug (Cimex lectularius) mates by traumatic insemination, subjecting the ejaculate to a unique selective environment as sperm traverse the female genital and paragenital system. We provide the first high-throughput proteomic characterisation of the sperm and seminal fluid proteome in a hemimetabolous insect and the first in-depth proteomic characterisation of the male bedbug reproductive system. Our analysis revealed conserved and unique features of the sperm and seminal fluid proteome with possible links to features of sperm behaviour linked to traumatic insemination. The sperm proteome showed elevated rates of molecular evolution, unlike most other studied species. Conversely, the sperm proteome also contained many conserved proteins. Notably, we found an expansion of Sperm-leucylaminopeptidases (S-Laps) in bedbugs and other hemimetabolous insects, suggesting the origin of S-Laps is perhaps even more ancient than previously thought. Using in silico protein-ligand binding predictions, we show that S-Laps have likely retained catalytic activity. Our results provide a list of candidate proteins involved in reproduction and a useful resource for future studies of this expanding global pest.Item Open Access Bicycle Driving Behaviour in Germany: A Driving Parameter Dataset Across 100 Cities based on CITY CYCLING GPS trajectories(Technische Universität Dresden, 2026-04-14) Lissner, Sven; Lindemann, Paul; Huber, StefanThe dataset presented was created as part of the cycling campaign City Cycling in Germany during the years 2022–2024. The campaign involved more than 3,000 municipalities across the entire country. Over a three-week period, which participants could freely select between May 1 and September 30, the goal was to replace as many car trips as possible with bicycle trips. Participants could use a smartphone application to record their data. The recorded GPS trajectories were transferred from the smartphone to a data lake as a database dump and were then regularly retrieved by a backend server for data pre-processing. During this process, trips, activities, modes of transport, and driving modes were identified. For the dataset presented, individual trajectories were processed with respect to several core variables characterizing cycling behaviour. The dataset was spatially filtered beforehand. A total of 109 cities and municipalities were selected based on variables such as population size, the number of campaign participants, topography, the modal share of cycling, and geographic location within Germany, in order to obtain a representative impression of cycling behaviour. As a result, more than 8 million trip records with 37 distinct variables were collected over the data years 2022–2024.The dataset was created and analysed within the scope of the DFG funded project "Bicycle Driving Behaviour in Germany", Project number 514587991Item Open Access Rapid quantification method of pharmaceuticals in urban wastewater using UHPLC-Orbitrap mass spectrometry – a multi target approach for EU-directive advanced treatment evaluation(Technische Universität Dresden, 2026-04-13) Hofmann, UtaPharmaceutical residues have become contaminants of emerging concern in wastewater, as inadequate removal by wastewater treatment plants can result in ecotoxicological impacts on aquatic ecosystems. For this reason, the EU Urban Wastewater Treatment Directive (UWWTD 2024/3019) requires the implementation of quaternary treatment upgrades and the regular monitoring of their effectiveness in European Wastewater Treatment Plants (WWTPs). In this study, a sensitive, reliable, and cost-effective analytical method was developed and validated for the simultaneous determination of twelve indicator substances, including nine compounds proposed by the UWWTD, and three substitutes in various influent and effluent of WWTPs. The method is based on solid-phase extraction (SPE) of 2-mL-wastewater samples using, followed by reversed-phase liquid chromatography coupled to high-resolution mass spectrometry (LC-HRMS) employing an Orbitrap Exploris™ 240. Detection was carried out using heated electrospray ionization in positive ionization mode (HESI+), except diclofenac (HESI-). Quantification was performed using SIM scans, while high-resolution full-scan spectra were acquired for confirmation. Limits of Quantification (LOQ) ranged mostly between 15 and 30 ng/L, except for candesartan, irbesartan and diclofenac with LOQ > 50 ng/L. A laboratory validation demonstrated high precision and accuracy for all selected pharmaceuticals. Further, the method was successfully applied to raw and treated wastewater from WWTPs of different size classes in the border region of Saxony (Germany) and Northern Bohemia (Czech Republic). This method therefore offers a rapid quantification approach for assessing the removal efficiency of pharmaceuticals and potential substitutes categorized in the UWWTD.Item Open Access Data corresponding to publication: "Classical spin liquids from frustrated Ising models in hyperbolic space" by F. Köhler et al (2026)(Technische Universität Dresden, 2026-04-10) Vojta, MatthiasThis dataset contains the data and scripts corresponding to the figures in the publication F. Köhler, J. Erdmenger, R. Moessner, M. Vojta, "Classical spin liquids from frustrated Ising models in hyperbolic space", Phys. Rev. E (2026).Item Open Access Three Finite Element Models of the openLAB Research Bridge(Technische Universität Dresden, 2026-04-10) Eisermann, Cedric; Sprenger, Bjarne; Lila, Kleo; Schnellenbach-Held, Martina; Marx, SteffenFrom May 5 to May 7, 2025, extensive experiments were conducted 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 using hydraulic jacks up to the ultimate limit state - Day 3 (2025-05-07): Localized damage to the prestressing tendons (cutting wires at multiple locations) This dataset includes three finite element (FE) models of the openLAB research bridge which were used to simulate the load tests 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, incrementally increasing the load up to a total of 400 kN. The three FE models were independently developed using different FE software solutions and feature different element types: - FE model 1: ATENA, volume element model - FE model 2: DIANA FEA, volume element model - FE model 3: SOFiSTiK, combined beam-shell element model The dataset includes all necessary input files to recreate the FE models in their respective software environments and reproduce the simulation results of the load tests.Item Open Access Training Data Set for U-Net Training based on Experimental Measurement using High Speed Camera(Technische Universität Dresden, 2026-04-10) Guesmi, Montadhar; Manthey, Johannes; Pani, Souman Kumar; Kupfer, Oliver; Dubbert, Manuel; Unz, Simon; Beckmann, MichaelBoundary detection using a trained U-Net model. It visualizes the predicted boundaries, with each boundary overlaid on a preprocessed grayscale background.Item Open Access Micro-CT data supporting the article: "Influence of the fine sand content on the fabric in binary mixtures"(Technische Universität Dresden, 2026-03-31) Schmidt, Selma; Löffler, MarkusThe data comprises the raw, reconstructed micro-CT images supporting the article: "Influence of the fine sand content on the fabric in binary mixtures". 8 specimens of binary mixtures of fine and coarse sand have been prepared with varying fine sand content. An observation window at the center of each specimen has been scanned with a voxel size of 6.22 μm for the specimens 01-04 and 6.18 μm for the specimens 05-08. Additionally, the entire specimen 05 has been scanned with a voxel size of 11.32 μm. Further information can be found in the corresponding article.Item Open Access Original Data (microscopic pictures, Western blots) - Alveolar epithelial junctions in early lung injury and COVID-19-induced fibrosis(Technische Universität Dresden, 2026-03-30) Wiegner, JuliánThis data deposit contains all the raw data of the manuscript to the paper "The role of alveolar epithelial junctions in early lung injury and COVID-19-induced fibrosis" (see project abstract). The data is sorted by 3.1 to 3.4 corresponding to the headlines of the "Results" Section of the manuscript. 3.1 and 3.2 contain the raw microscopic pictures with corresponding negative controls devided by pathologic groups and the mRNA analysis data. 3.3 contains the raw microscopic pictures with corresponding negative controls named with different Treatments and the Western blots. 3.4 contains the raw microscopic pictures with corresponding negative controls of fluorescence and light microscopy.Item Open Access ResNet to the ResCue: An automated approach for the detection of measurable residual disease in patients with acute myeloid leukemia.(Technische Universität Dresden, 2026-03-18) Thielecke, Lars; Roehnert, Maximilian-AlexanderThis repository provides a minimal, end‑to‑end example pipeline demonstrating how a trained ResNet‑34 model can recognize MRD‑associated patterns in UMAP embeddings derived from flow‑cytometry data of AML patients. ResNet‑based classifiers are widely used for image‑recognition tasks , making them well‑suited for distinguishing subtle MRD‑related patterns in UMAP‑transformed cytometry data. The pipeline consists of a small collection of Python and R scripts organized as a lightweight workflow, following the standard idea of pipelines as sequences of data‑processing and prediction steps . Included in the repository are: - a single example patient dataset (raw data, pre‑processed data, and generated image) - an R script for preprocessing the raw flow‑cytometry data - a Python script that converts the tabular preprocessed data into 2D images - the representative UMAP embedding needed for generating standardized 2D representations of patient-specific data - a Python script that loads the ResNet‑34 architecture (including the custom classifier head), initializes the trained weights , and runs the prediction procedure to distinguish MRD‑positive from MRD‑negative image patterns This example is intentionally minimal: it is not a production‑ready pipeline but an educational demonstration of how the core steps—data preparation, image generation, and model prediction—link together in a transparent, reproducible workflow.Item Open Access Dynamic Spallation Energy Dissipation: Evaluation Methods for Split Hopkinson Bar Tests _ Dataset.rar(Technische Universität Dresden, 2026-03-11) Davoudkhani, Milad; Maca, Petr; Krcmarova, Nela; Beckmann, Birgit; Maas, Hans-GerdThis dataset comprises the data of the study on Dynamic Spallation Energy Dissipation: Evaluation Methods for Split Hopkinson Bar Tests. In this study, we employ a single high-speed camera setup with photogrammetric methods. The approach is based on enhanced inverse spatial resection principles for 3D tracking from single camera image sequence data and on Structure-from-Motion techniques for 3D shape reconstruction of multiple fragments produced in split Hopkinson bar impact experiments. These fragment shape and motion data allow to estimate the energy of each fragment, providing a key component in the analysis of energy dissipation.Item Open Access Test data for ICPR 2026 - RARE-Vision Competition(Technische Universität Dresden, 2026-03-09) Le Floch, MaximeThe RARE-VISION test dataset consists of three previously unseen capsule endoscopy examinations acquired with the Navicam system at the University Hospital Carl Gustav Carus, Technical University of Dresden. The dataset is strictly separated from the development data, and ground-truth annotations are withheld for final evaluation. Each case is provided as a complete chronological video sequence at a resolution of 480 × 480 pixels, preserving the original temporal order without trimming or manual segmentation. The three videos contain: 44,878 frames 53,220 frames 62,927 frames The data reflect real-world clinical variability and the natural class imbalance of capsule endoscopy, where rare pathological findings occur sparsely within long sequences of normal mucosa. Annotations are defined as temporal events (start frame, end frame, label) corresponding to the 17 competition target classes. The label set includes anatomical regions and pathological findings only; no anatomical landmarks are annotated. The dataset is designed to evaluate robust rare-event detection, temporal consistency, and fully automatic inference on long sequential video streams. The videos are provided exclusively for scientific research within the scope of the ICPR 2026 RARE-VISION competition and must not be used for any commercial purposes. For detailed terms of use, please refer to the official competition report and documentation. This study was approved by the Ethics Committee of the University Hospital Carl Gustav Carus at the Technical University of Dresden on December 16, 2022 (Ethics ID: BO-EK-534122022), confirming adherence to the ethical principles of the Declaration of Helsinki. Due to the retrospective anonymization of the data and their collection during clinically indicated routine interventions, explicit consent was not required. This is additionally supported by the Ethics Committee’s approval, a consultation with the data privacy officer, and local law. Section 34, Paragraph 1 of the Saxon Hospital Act (SächsKHG) explicitly allows the collection and analysis of this type of data.Item Open Access Conductive Hydrogels for Exogenous Sensing and Cell Fate Control(Technische Universität Dresden, 2026-03-09) Akbar, Teuku Fawzul; Jimenez-Rodriguez, Carlos Alejandro; Biktimirova, Railia; Hermes, Ilka; Kurth, Thomas; Pham, My Duyen; Tsurkan, Mikhail; Friedrichs, Jens; Morgan, Francis L. C.; Kleemann, Hans; Guskova, Olga; Freudenberg, Uwe; Fratzl, Peter; Werner, Carsten; Tondera, Christoph; Minev, Ivan R.Next generation technologies linking living systems to computers will require materials built on biology, an approach that may address persistent challenges in stable and multimodal information exchange. Here, we present a semi-synthetic hydrogel, designed to emulate key features of native extracellular matrix (ECM) while offering electrically tunable functionality. We engineer interactions between sulfated glycosaminoglycans (sGAGs) and a semiconducting organic polymer (Poly(3,4-ethylenedioxythiophene), PEDOT) within a soft hydrogel network (PEDOT:sGAGh). We demonstrate control over the material’s nanoarchitecture, electrochemical behavior, and biomolecular interactions. In particular, PEDOT:sGAGh exhibits affinity for bioactive proteins, including growth factors, and allows their release or retention to be modulated by low-voltage stimulation. This enables electrical control over macromolecular cues for cell differentiation, a capability not found in natural ECM or conventional conductive hydrogels. These functions are achieved with ultra-low PEDOT content (≈ 1 wt.%), preserving the hydrogel’s tissue-like softness and high water content. The PEDOT:sGAGh material can be integrated as a bioactive coating on electrodes, or into three dimensional organic electrochemical transistors (OECTs). Our results position PEDOT:sGAGh as a versatile platform for realizing biohybrid circuits that bridge molecular signaling and solid-state electronics, thus paving the way for brain-machine interfaces that operate beyond purely electrical modes of interaction.Item Open Access Spin-liquid-like ground states in the double hydroxyperovskites CuSn(OD)6 and MnSn(OD)6 evidenced by μSR spectroscopy(Technische Universität Dresden, 2026-02-27) Naskar, Moumita; Kulbakov, Anton A.; Parui, Kaushick K.; Krieger, Jonas A.; Hicken, Thomas J.; Luetkens, Hubertus; Häußler, Ellen; Doert, Thomas; Peets, Darren. C.; Klauss, Hans-Henning; Inosov, Dmytro S.; Sarkar, RajibDouble hydroxide perovskites with magnetic transition-metal ions were recently identified as a unique class of materials that combine magnetic frustration with correlated proton disorder—a prerequisite for quantum-disordered fluctuating magnetic ground states resembling spin liquids. Here we present the results of muon spin relaxation (μSR) measurements carried out on fully deuterated samples of the double hydroxyperovskites CuSn(OH)6 (S = 1/2) and MnSn(OH)6 (S = 5/2) over the temperature range 0.053–50 K. The absence of any long-range magnetic order is confirmed down to 0.053 K. We observe no oscillations of the muon asymmetry down to the lowest temperature. The muon relaxation rates show a continuous increase with decreasing temperature, indicating persistent spin fluctuations in both compounds. Spin correlations are consistent with homogeneous spin dynamics. These observations reinforce the assertion that both compounds have a quantum-dynamic magnetic ground state that is consistent with a spin-liquid-like phase stabilized by proton disorder.Item Open Access Structure from motion cross-scale dataset on agricultural areas in eastern Germany over a period of 3.5 years – plot scale, single slope scale, and catchment scale(Technische Universität Dresden, 2026-02-05) Epple, Lea; Eltner, Anette; Grothum, Oliver; Bienert, AnneThis study presents a unpresented approach to enhance soil erosion modelling through the utilisation of nested high-resolution spatio-temporal data obtained through structure from motion (SfM) photogrammetry. This technique permits comprehensive observation of soil surface elevation changes during precipitation events, encompassing data acquisition at diverse scales, from plot to slope to micro-catchment. The study presents a unique dataset that integrates high-resolution time-lapse photogrammetry, field measurements, and UAV (uncrewed aerial vehicle) photogrammetric data, collected over nearly four years. This dataset is intended to enhance the understanding of soil erosion processes and serve as a valuable resource for model evaluation and calibration. The authors encourage the broader scientific community to utilise and expand this dataset, which is expected to contribute to the development of more accurate soil erosion models, thereby improving predictions and management strategies.Item Open Access Photogrammetric data of circular target test fields for eccentricity analysis(Technische Universität Dresden, 2026-01-30) Liebold, FrankThis data publication contains photogrammetric data of test fields of circles. Please download the zip files and extract them. There are three experiments: Experiment 1 (in "exp1_planar_test_field.zip"): A planar test field with 20 concentric circle targets. The 12 larger circles have inner radii of 15mm, outer radii of 30mm and a grid size of 67mm. There are 8 further smaller circles (inner radius: 3mm, outer radius: 6mm). A bundle of 12 images (see "image_orientations.png" in "images_planar_test_field.zip") was recorded. Experiment 2 (in "exp2_nonplanar_test_field.zip"): A nonplanar test field with 60 concentric circle targets with inner radii of 13mm and outer radii of 26mm. A bundle of 12 images (see "image_orientations.png" in "images_nonplanar_test_field.zip") was recorded. Experiment 3 (in "exp3_scale_bar_comparison.zip"): There three subexperiments with different circular target radii (5mm, 7.5mm, 10mm). Additionally, there is a scale bar with 2 targets with a radius of 5mm. For each subexperiment, a bundle of 12 images (see "image_orientations.png" in "test_field_radius_*mm/images_scale_bar_comparison_radius_*mm.zip") was recorded. The planar test fields have 127 circular targets. In addition to the 127 targets, there are the two scale bar radii. All folders contain: 1) the initial values of the image orientaions with the projection center coordinates and the rotation angles. rotMat = [[cosPhi*cosKappa, -cosPhi*sinKappa, sinPhi],\ [cosOmega*sinKappa + sinOmega*sinPhiCosKappa,\ cosOmega*cosKappa - sinOmega*sinPhiSinKappa,\ -sinOmega*cosPhi],\ [sinOmega*sinKappa - cosOmega*sinPhiCosKappa,\ sinOmega*cosKappa + cosOmega*sinPhiSinKappa,\ cosOmega*cosPhi]]) 2) the image measurements in pixels: ellipse center x,y (pixel coordinate system in the left upper pixel, x to the right, y points down), semi-axes a and b. Star operator was used (edge detection with Laplacian of Gauss filter). 3) contour point coordinates of the star operator measurements. 4) initial circle parameters 5) for experiment 2 and 3: there is a additional pin file that contains the assignment of the image numbers and image names.
