Universität Leipzig

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Research data repository of Leipzig University.

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  • 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
    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
    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
    Supplementary data for: Weighted Shapley values and allocation of portfolio risk: One approach to solve the low-risk puzzle?
    (Universität Leipzig, 2025-11-05) Hiller, Tobias
    The data set contains data for the article “Weighted Shapley values and allocation of portfolio risk: One approach to solve the low-risk puzzle?”. This includes a description of the simulation settings, the Excel macros for calculating the results in the case of equal shares and random asset shares, and the 100,000 simulation results for both cases in Excel. Abstract of the paper: In this article, we extend the application of cooperative game theory to solve the so-called low-risk puzzle. Specifically, we apply concepts that consider asset weights in the allocation of portfolio risk. These weights can take into account various asset characteristics (e.g., image, popularity of an asset, corporate social responsibility, innovative strength) that have not been previously considered in portfolio risk allocation using cooperative game theory. We demonstrate the application through a simulation study. Our results show that considering assets weights could deliver added value when solving the low-risk puzzle.