Universität Leipzig Data Publications

Permanent URI for this collectionhttp://opara.zih.tu-dresden.de/handle/123456789/33

Data publications from research of Leipzig University.

Browse

Browsing Universität Leipzig Data Publications by Title

Filter results by typing the first few letters
Now showing 1 - 20 of 70
  • 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
    Collective Rights Management Ontology
    (Universität Leipzig, 2022-04-25) Klingner, Stephan
    This domain ontology aims to create a common understanding of collective rights management (CRM) in the European Union. It has been developed on the basis of Directive 2014/26/EU to support the processes of management, exchange, identification, comparison and use of collective rights management schemes.
  • ItemOpen Access
    Collective Rights Management Taxonomy
    (Universität Leipzig, 2022-05-13) Miller, Mihail
    Under the CRM-Directive (Directive 2014/26/EU), collective management organisations (CMOs) in the European Economic Area (EEA) must publish annual transparency reports. These transparency reports allow for a deeper analysis of the financial data of CMOs. However, this data can be very unstructured and therefore difficult to compare and contextualise across CMOs. This repository includes a taxonomy based on the mapping of common categories of rights / types of use managed by CMOs for musical repertoire (derived from their transparency reports). - In the process, the elementary concepts common to the different CMOs were mapped to 4 metaconcepts (manifestation type, consumer medium, licensee type, exploited copyright type). - These mappings are listed in the file `metaconcepts_mappings.csv`. - The mappings of the CMO-specific designations to the generic quadruplets of four elementary concepts (license categories) can be found in the "mappings" directory. - The taxonomy is defined as a tree graph in DOT language in the file `tree.gv`. - The file `tree.gv.pdf` represents a diagram of the generated taxonomy showing the use of the elementary concepts by the studied CMOs and their hierarchical connections. - Additionally, two subgraphs with the nodes "communication" and "performance" as roots are visualised in `subgraph_communication.svg` and `subgraph_performing.svg` respectively. - With the folder structure unchanged, the taxonomy and metrics (e.g. word count and synonyms) can be reproduced for them by unzipping the `script.zip` directory and running python `generate_taxonomy.py`. - The `selection`-directory is not related to the generation process. In it, the selection process of the CMOs (BIEM and CISAC member societies with musical repertoire, controlled by a competent authority in the European Union), is outlined.
  • 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
    Electronic interface for transfer of treatments data from farm management programs into a database
    (Universität Leipzig, 2022-09-29) Seibt, Uwe
    Interface from the herd management program to Microsoft Excel for data derivation and preparation. A VBA macro is used to access the dBase databases of the herd management program via the ODBC interface and the derived data is transferred to an Excel worksheet.
  • 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
    Farnesischer Stier - Kithara und Baumstammende, Universität Leipzig, Antikenmuseum, G 661 - TF 2, high-poly
    (Universität Leipzig, 2026-05-18) Michalski, Paula; Apelt, Joana
    Dieser Datensatz enthält das High-Poly-Modell der Kithara und eines Baumstammendes aus der Gipsabformung der Skulpturengruppe des Farnesischen Stiers, die sich im Antikenmuseum der Universität Leipzig (Inventarnummer G 661, TF 2) 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
    Farnesischer Stier - Linker Vorderlauf des Stiers, Universität Leipzig, Antikenmuseum, G 661 - TF 4, high-poly
    (Universität Leipzig, 2026-05-18) Michalski, Paula; Apelt, Joana
    Dieser Datensatz enthält das High-Poly-Modell des linken Vorderlaufs des Stiers aus der Gipsabformung der Skulpturengruppe des Farnesischen Stiers, die sich im Antikenmuseum der Universität Leipzig (Inventarnummer G 661, TF 4) 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.