Universität Leipzig

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  • ItemOpen Access
    3D-Model Toro Farnese (Plaster Cast Antikenmuseum, Leipzig University)
    (Universität Leipzig, 2025-11-17) Lang, Jörn
    Assembled digital single models (54) of the cast of the Farnese Bull in the Museum of Antiquities at Leipzig University, including one missing part (marked in red).
  • ItemOpen Access
    3D-Model Toro Farnese (Research version)
    (Universität Leipzig, 2025-11-17) Lang, Jörn
    The research model is based on the documentation model. It has been cleaned up to remove elements of the sculpture group that, according to research, did not belong to the original Greek model on which the Roman copy in Naples was based.
  • ItemOpen Access
    A New Risk Assessment Model for Unexploded underwater Military Munitions: Application Data
    (Universität Leipzig, 2025-03-03) Frey, Torsten
    This file contains application demonstration data from the following doctoral thesis: Frey, Torsten. A New Risk Assessment Model for Unexploded underwater Military Munitions. Dissertation. Leipzig University. Leipzig. 2025. https://doi.org/10.5281/zenodo.14620239. For detailed information, the interested party is referred to section 6.3 of the dissertation.
  • ItemOpen Access
    A New Risk Assessment Model for Unexploded underwater Military Munitions: Monte Carlo Simulation
    (Universität Leipzig, 2025-02-25) Frey, Torsten
    This file contains monte carlo simulation data from the following doctoral thesis: Frey, Torsten. A New Risk Assessment Model for Unexploded underwater Military Munitions. Dissertation. Leipzig University. Leipzig. 2025. https://doi.org/10.5281/zenodo.14620239. For detailed information, the interested party is referred to section 6.2 and Appendix 10 of the dissertation.
  • ItemOpen Access
    A New Risk Assessment Model for Unexploded underwater Military Munitions: Sensitivity Analysis
    (Universität Leipzig, 2025-02-04) Frey, Torsten
    This file contains sensitivity analysis data to the following doctoral thesis: Frey, Torsten. A New Risk Assessment Model for Unexploded underwater Military Munitions. Dissertation. Leipzig University. Leipzig. 2025. DOI: 10.5281/zenodo.14620239. For detailed information, the interested party is referred to section 6.1 and Appendix 9 of the dissertation.
  • ItemOpen Access
    A New Risk Assessment Model for Unexploded underwater Military Munitions: Workshop 1 Poll Results
    (Universität Leipzig, 2025-03-03) Frey, Torsten
    This file contains workshop poll data from the following doctoral thesis: Frey, Torsten. A New Risk Assessment Model for Unexploded underwater Military Munitions. Dissertation. Leipzig University. Leipzig. 2025. https://doi.org/10.5281/zenodo.14620239. For detailed information, the interested party is referred to Appendices 3 and 4 of the dissertation.
  • ItemOpen Access
    A New Risk Assessment Model for Unexploded underwater Military Munitions: Workshop 2 Poll Results
    (Universität Leipzig, 2025-03-03) Frey, Torsten
    This file contains workshop poll data from the following doctoral thesis: Frey, Torsten. A New Risk Assessment Model for Unexploded underwater Military Munitions. Dissertation. Leipzig University. Leipzig. 2025. https://doi.org/10.5281/zenodo.14620239. For detailed information, the interested party is referred to Appendices 6, 7, and 8 of the dissertation.
  • ItemOpen Access
    Adipic acid concentrations from biotransformation by rec. Pseudomonas taiwanensis
    (Universität Leipzig, 2025-02-05) Franz, Alexander
    The dataset belongs to a publication in Green Chemistry from 2023 (DOI: 10.1039/d3gc01105d). In the publication a two-step process is demonstrated, in which phenolic compounds are electrochemically hydrogenated and further converted to adipic acid by a biotransformation of recombinant Pseudomonas taiwanensis. The dataset shows the data from Fig. 3c and 4c in the publication. The two tables show the adipic acid concentration over time in the 500 mL-bubble column reactors, in which the biocatalyst was fed with the substrate solution.
  • ItemOpen Access
    BiSID-5k: A Bimodal Image Dataset for Seed Classification from the Visible and Near-Infrared Spectrum
    (Universität Leipzig, 2025-04-10) Kukushkin, Maksim; Bogdan, Martin; Goertz, Simon; Callsen, Jan-Ole; Oldenburg, Eric; Enders, Matthias; Schmid, Thomas
    The success of deep learning in image classification has been largely underpinned by large-scale datasets, such as ImageNet, which have significantly advanced multi-class classification for RGB and grayscale images. However, datasets that capture spectral information beyond the visible spectrum remain scarce, despite their high potential, especially in agriculture, medicine, and remote sensing. To address this gap in the agricultural domain, we present BiSID-5k, a thoroughly curated bimodal seed image dataset comprising paired RGB and hyperspectral images for 10 plant species, making it one of the largest bimodal seed datasets available. We describe the methodology for data collection and preprocessing and benchmark several deep learning models on the dataset to evaluate their multi-class classification performance. By contributing a high-quality dataset, BiSID-5k offers a valuable resource for studying spectral, spatial, and morphological properties of seeds, opening new avenues for research and applications.
  • ItemOpen Access
    Dataset for "NanoBRET-based detection of ligand-receptor interactions at the neuropeptide FF receptor 1" V2
    (Universität Leipzig, 2026-04-14) Lentschat, Hannah; Beck-Sickinger, Annette G.
    The neuropeptide FF receptor 1 (NPFFR1) belongs to the RF-amide G protein-coupled receptor family. Even though it is a promising therapeutic target for the treatment of chronic pain, this receptor still has not been used as a drug target. A detailed understanding of its ligand-binding and activation mechanisms is essential for the rational design of novel modulators. In this study, we developed a non-radioactive, nanoBRET-based ligand-binding assay to investigate ligand interactions of neuropeptide FF (NPFF) and neuropeptide VF (NPVF) with the NPFFR1. Fluorescently labeled NPFF and NPVF analogs were synthesized by conjugating a 6-carboxytetramethylrhodamine fluorophore at distinct positions, while a nanoluciferase was fused to the N-terminus of the NPFFR1 to serve as the BRET donor. This approach enables quantitative measurement of ligand binding and provides insights into the relative orientation of the ligand and receptor. Distinct BRET signal profiles for NPFF and NPVF, with a smaller window for NPVF compared to NPFF when directly labeled with the fluorophore, indicate differences in the binding orientation. Furthermore, deletion of the N-terminal residues of the receptor revealed that this region is dispensable for ligand recognition and binding in the NPFFR1. The assay was confirmed for small molecule NPFFR1 ligands, such as hederagenin, offers new opportunities to explore subtype selectivity and will guide drug discovery targeting the RF-amide receptor family.
  • ItemOpen Access
    Dataset for "Targeted, receptor-mediated delivery of a masked ᴅ-amino acid cell penetrating peptide for cell-specific phototoxicity"
    (Universität Leipzig, 2025-11-06) List, Moritz; Jülke, Eva-Maria; Beck-Sickinger, Annette G.
    Photodynamic therapy is an innovative treatment option for cancer, but current approaches are limited by poor tumor selectivity and low uptake. Here, we introduce a novel concept for a targeted phototoxic peptide, in which a lysosomally activatable payload is delivered selectively by receptor-mediated endocytosis. For the payload, 6-carboxytetramethylrhodamine (TMR) was attached to an activatable cell penetrating peptide. The regular activity of the CPP was blocked by electrostatic interactions with a poly-glutamate sequence but could be restored through cleavage by the lysosomal protease cathepsin B both in vitro and in cells. The unmasked CPP can then bind to the negatively charged lysosomal membrane, and upon irradiation, TMR generates reactive oxygen species (ROS) that disrupt the integrity of the membrane. This leads to a release of lysosomal contents into the cytosol which subsequently induces cell death. To achieve targeted delivery, the activatable payload was conjugated to chemerin-9, a high-affinity ligand for the chemokine-like receptor 1 (CMKLR1), a G protein-coupled receptor overexpressed in various cancers. Through this receptor-targeted approach, the peptide accumulates in CMKLR1-expressing cells while the lysosomal activation completely prevented off-target toxicity. Notably, this strategy enables even a weak photosensitizer like TMR to achieve potent cytotoxicity through lysosomal targeting. This approach represents an advancement in improving the selectivity and efficacy of photodynamic therapy and holds promise for the development of novel cancer therapies. Furthermore, the concept opens possibilities for specific intracellular delivery of peptides or proteins.
  • ItemOpen Access
    Dataset Validation Study ILEA-Basis-T
    (Universität Leipzig, 2025-03-05) Liebers, Katrin; Siegemund-Johannsen, Steffen; Viernickel, Susanne; Redersborg, Helke; von Seeler, Isabelle; Richter, Virginia; Hartke, Sara; Kauffert, Matteo
    The validation study was conducted to statistically test the validity of the developed DBS. Accordingly, the materials that had been developed for the DBS over the course of the project and had already been tested were used. The parents of all participating children gave their consent. The research ethical standards were adhered to. Likewise, a positive vote of the ethics committee of the University of Leipzig was available. At the same time, further domain-specific test procedures were used to determine convergent and discriminant validity in the areas of early literacy and early mathematics (e.g. MBK 0, Krajewski, 2018; GISC-EL, Koch, Euker & Kuhl, 2016). In addition, a comprehensive rating-based evaluation form was developed for the Early Mathematics Observation Form, with a focus on suitability for everyday use and acceptance in practice. The observation procedures for well-being and the children's questionnaire on well-being were used by project staff, students, and preschool teachers. Convergent discrimination for the habitual well-being rating procedure was determined using a selection of parallel assessment methods (excerpts from KOMPIK; Mayr, Bauer, Krause, Kruse, & Schnirch, 2014; Leiden Inventory for the Child's Wellbeing in Day Care/LICW-D; De Schipper, Van IJzendoorn, & Tavecchio, 2004).
  • ItemOpen Access
    DeepExtremeCubes
    (Universität Leipzig, 2024-12-19) Ji, Chaonan; Fincke, Tonio; Benson, Vitus; Camps-Valls, Gustau; Fernández-Torres, Miguel-Ángel; Gans, Fabian; Kraemer, Guido; Martinuzzi, Francesco; Montero, David; Mora, Karin; Pellicer-Valero, Oscar; Robin, Claire; Söchting, Maximilian; Weynants, Melanie; Mahecha, Miguel
    With climate extremes' rising frequency and intensity, robust analytical tools are crucial to predict their impacts on terrestrial ecosystems. Machine learning techniques show promise but require well-structured, high-quality, and curated analysis-ready datasets. Earth observation datasets comprehensively monitor ecosystem dynamics and responses to climatic extremes, yet the data complexity can challenge the effectiveness of machine learning models. Despite recent progress in deep learning to ecosystem monitoring, there is a need for datasets specifically designed to analyse compound heatwave and drought extreme impact. Here, we introduce the DeepExtremeCubes database, tailored to map around these extremes, focusing on persistent natural vegetation. It comprises over 40,000 globally sampled small data cubes (i.e. minicubes), with a spatial coverage of 2.5 by 2.5 km. Each minicube includes (i) Sentinel-2 L2A images, (ii) ERA5-Land variables and generated extreme event cube covering 2016 to 2022, and (iii) ancillary land cover and topography maps. The paper aims to (1) streamline data accessibility, structuring, pre-processing, and enhance scientific reproducibility, and (2) facilitate biosphere dynamics forecasting in response to compound extremes.
  • ItemOpen Access
    Earthquakes in Saxony (Germany) and surroundings from 2006 up to 2023 -- onsets and locations
    (Universität Leipzig, 2025-04-04) Wendt, Siegfried
    This archive contains complete results of earthquake locations for Saxony (Germany) and neighbourhood of the years from 2006 up to 2023. Approximately 26.000 events were detected and localized, most of them with epicenters in Northwestern Bohemia near Nový Kostel and Luby (Czech Republic) neighboured to the Saxon border.
  • ItemOpen Access
    Farnesischer Stier - Bodenplatte unter Amphion, Universität Leipzig, Antikenmuseum, G 661 - TF 1, high-poly
    (Universität Leipzig, 2025-12-02) Michalski, Paula; Apelt, Joana
    Dieser Datensatz enthält das High-Poly-Modell der Bodenplatte unter Amphion aus der Gipsabformung der Skulpturengruppe des Farnesischen Stiers, die sich im Antikenmuseum der Universität Leipzig (Inventarnummer G 661, TF 1) befindet. Das 3D-Modell basiert auf den hochaufgelösten Rohdaten und wurde durch Polygonreduktion optimiert. Dabei blieb die geometrische und visuelle Qualität erhalten, während die Dateigröße deutlich reduziert wurde.
  • ItemOpen Access
    Forschungsdaten zur Dissertation: Konzeption eines fachdidaktischen Patternmodells für den Informatikunterricht
    (Universität Leipzig, 2025-06-19) Kießling, Peter
    Diese Datenpublikation umfasst die im Rahmen der Dissertation „Konzeption eines fachdidaktischen Patternmodells des Informatikunterrichts in den Dimensionen Inhalt, Methode und Medium“ (Kießling, 2025, Universität Leipzig) erhobenen Forschungsdaten. Enthalten sind anonymisierte Daten der Vorstudie (Phasen I und II), der Hauptstudie sowie der explorativen Wirksamkeitsanalyse. Darüber hinaus beinhaltet die Publikation eine Demoversion des im Forschungsprozess entwickelten IML-Modells.
  • ItemOpen Access
    Guidelines for quantitative survey on perception of urban green spaces during COVID-19 pandemic
    (Universität Leipzig, 2024-03-22) Hübscher, Marcus
    This is the survey guideline used for the quantitative survey.
  • ItemOpen Access
    Kriterien der Rechtsformwahl - Datensatz
    (Universität Leipzig, 2026-01-26) Handke, Tommy
    Der Datensatz basiert auf einer eigenständig konzipierten, bundesweiten Online-Befragung von Unternehmensgründern und Unternehmern in Deutschland und wurde im Rahmen einer empirischen rechtstatsächlichen Untersuchung zur Rechtsformwahl erhoben. Die Datenerhebung erfolgte standardisiert mittels eines strukturierten Fragebogens, der im Rahmen einer Pilotstudie (Sommer 2019) getestet und anschließend in einer Hauptstudie (Herbst 2019) eingesetzt wurde. Zur Transparenz und Nachvollziehbarkeit der empirischen Arbeit werden zwei Datenformate bereitgestellt: Eine CSV-Datei enthält die unbearbeiteten Rohdaten in Form der originalen Fragebogenabfragen einschließlich sämtlicher erhobener Variablen und Antwortkategorien. Diese Datei bildet den unmittelbaren Output der Datenerhebung ab und ermöglicht eine eigenständige Reproduktion der Datenaufbereitung. Ergänzend hierzu wird eine SPSS-SAV-Datei zur Verfügung gestellt, die den bereinigten und für die statistischen Auswertungen verwendeten Analysedatensatz enthält. In dieser Datei wurden die Rohdaten systematisch aufbereitet, kodiert und plausibilisiert; hierzu zählen insbesondere die Behandlung fehlender Werte, die Vereinheitlichung von Antwortkategorien, die Bildung aggregierter Variablen sowie die Vorbereitung der Daten für inferenzstatistische Verfahren und die explorative Faktorenanalyse. Diese Datei entspricht dem Datensatz, der den in der Untersuchung berichteten deskriptiven und inferenzstatistischen Ergebnissen zugrunde liegt und ist unmittelbar für weiterführende Analysen mit SPSS oder kompatibler Statistiksoftware nutzbar. Durch die parallele Bereitstellung von Roh- und Analysedaten wird sowohl methodische Transparenz als auch eine flexible Nachnutzung für Replikationen, alternative Modellierungen und Sekundäranalysen gewährleistet. Der Datensatz umfasst ingesamt 59 Variablen bei 1.048 Beobachtungen (Cases).
  • ItemOpen Access
    Optoacoustic Imaging in Lower Extremity Revascularization: A Novel Technique to Assess Perioperative Muscle Perfusion
    (Universität Leipzig, 2025-06-10) Winther, Birte
    This Excel sheet contains perfusion measurements acquired using Multispectral Optoacoustic Tomography (MSOT) from a cohort of 26 patients undergoing lower extremity revascularization. Measurements were taken at three time points: before the procedure (pre), immediately after the procedure (post), and before hospital discharge (disch). For each patient (identified by a pseudonym in the leftmost column), multiple oxygenation-related parameters were recorded at various wavelengths, targeting three anatomical regions of interest: Tibialis Anterior Muscle – Proximal (TAP), Tibialis Anterior Muscle – Medial (TAM), and Flexor Hallucis Brevis Muscle (FH).
  • ItemOpen Access
    Parameters Tested for VNA validation
    (Universität Leipzig, 2025-12-03) Harzer, Maxi
    Five key protocol variables were systematically assessed: (i) the applied trypsin concentration, (ii) the incubation time for proteolytic activation of the RV, (iii) the infection dose applied, (iv) the duration of neutralization time and (v) sample-specific factors that affect assay performance. Furthermore, correlation studies was done between several sample materials and Virus neutralization (VNA) and immunofourescence assay titers. Moreover the sensitivity limit and the linearity of the VNA was determined as well as intra- and inter-assay repeatability.