DaKS - University of Kassel's research data repository

DaKS is the institutional repository of the University of Kassel for research data. It offers structured storage of research data alongside with descriptive metadata, long-term archiving for at least 10 years and – if requested – the publication of the dataset with a DOI.

DaKS is managed by the university library and the IT Service Centre of the University of Kassel. It is hosted at Philipps-Universität Marburg. We are happy to advise you via daks@uni-kassel.de.

Recent Submissions

Datensatz: Expertenbefragung zu User-Stories für eine KI-gestützte Assistenz zur Verifikation und Validierung (V&V) von Simulationsmodellen in Produktion und Logistik
(Universität Kassel) Sutherland, Robin; Özkul, Felix; Wenzel, Sigrid
Dieser Datensatz enthält die Ergebnisse einer Expertenbefragung, die im Rahmen einer Forschungsarbeit zur Unterstützung der Verifikation und Validierung (V&V) von Simulationsmodellen in Produktion und Logistik durchgeführt wurde. Ziel der Untersuchung war es, User-Stories für eine KI-gestützte Assistenz zu evaluieren.

An der anonymen Online-Befragung haben Expertinnen und Experten (n = 27) aus Industrie und Forschung der Arbeitsgemeinschaft Simulation (ASIM) teilgenommen. Diese haben 16 vordefinierte User-Stories hinsichtlich der Zweckmäßigkeit der Funktionen sowie deren Nutzen für die persönliche Kompetenzentwicklung bewertet. Die Erhebung wurde mittels der Software LimeSurvey im April 2026 durchgeführt.

Enthaltene Dateien
Fragebogen - KI-gestützte Assistenz für die V&V von Simulationsmodellen in Produktion und Logistik.pdf: Der vollständige Fragebogen, wie er den Expertinnen und Experten zur Verfügung gestellt wurde (inkl. Einleitungstext und Skalendefinitionen).

Umfrageergebnisse - KI-gestützte Assistenz für die V&V von Simulationsmodellen in Produktion und Logistik.xlsx: Die anonymisierten Antworten der Teilnehmenden, aufbereitet für die statistische Auswertung.
Trajectory Simulations and Stable States for Sympatric Speciation by Symmetry-breaking: The Three-Clade Case
(Universität Kassel) B Nair, Gokul; Fuhrmann-Lieker, Thomas; Seiler, Werner M.; Chlomoudis, Giagkos-Ion; Mebratie, Meskerem Abebaw
This data set contains Python programs, Maple worksheets, and output files for the numerical solution of coupled nonlinear differential equations as they arise in models for biological speciation. N equal entities that represent subpopulations of a species within an ecosystem are described by fifth order polynomials with first or second order coupling terms, leading to a symmetry breaking. Possible states and their stability are investigated numerically for a defined parameter set, and the accessability either by a jump in an environment parameter or by ramping this parameter is demonstrated via simulated trajectories. The occurrence of three-clade states is visualized graphically.
Differential varietal responses in faba bean concerning pea aphid and Pea necrotic yellow dwarf virus (PNYDV) when intercropped with oat [Dataset]
(Universität Kassel) Berawe, Ahmed; Ziebell, Heiko; Seeger, Judith Nora; Saucke, Helmut
This data and corresponding manuscript demonstrate varietal differences in faba bean (Vicia faba L.) in response to infestation by infection with pea aphid (Acyrthosiphum pisum) and Pea necrotic yellow dwarf virus (PNYDV) under sole cropping and intercropping conditions with oat (Avena sativa L.) in an additive design. Based on two years of field experiments (2021–2022), the research examines vector dynamics, virus spread, nitrogen fixation, and yield performance within a faba bean–aphid–PNYDV pathosystem. The results demonstrate that intercropping with oat can reduce aphid movement and limit virus spread, while contributing to yield stability through compensatory effects in the oat component. Differences among faba bean varieties highlight the importance of resilience traits and targeted genotype selection under biotic and abiotic stress conditions. Overall, the study provides insights in the role of intercropping systems and the future need to develop stress-tolerant faba bean varieties under changing climatic conditions.
Volumetric Heating Capacity (VHC) Regression Parameters for 48 Refrigerants
(Universität Kassel) Jesper, Mateo; Hoffmann, Chris René; Pag, Felix; Vajen, Klaus; Jordan, Ulrike
This repository provides the fourth-order Hamilton-Allen regression parameters for calculating the volumetric heating capacity (VHC) of 48 refrigerants as a function of heat source and sink temperatures. The parameters are derived from the study:
Large-Scale Heat Pumps: Development of a Broadly Applicable, Easy-to-Use Heating Capacity Model

Jesper, Mateo; Hoffmann, Chris René; Pag, Felix; Vajen, Klaus; Jordan, Ulrike

Preprint available at: http://dx.doi.org/10.2139/ssrn.5082708

The regression model enables simple, accurate, and broadly applicable estimates of VHC for large-scale heat pump applications, including district heating and industrial processes. The parameters are validated with a coefficient of determination (R²) exceeding 0.998 for all refrigerants, ensuring high reliability for preliminary design and feasibility studies.

Key Features:
- Coefficients for fourth-order Hamilton-Allen polynomial models (Eq. 9 in the paper) for each refrigerant.
Parameters cover a wide range of operating conditions, defined by heat source and sink temperatures within the constraints outlined in the study.
- Data for 48 refrigerants, including conventional and low-GWP (Global Warming Potential) options.

Applications:
- Suitable for preliminary design, feasibility assessments, and comparative analyses of heat pump systems.
- Complements COP (Coefficient of Performance) regression models for complete heat pump modeling.

Assumptions and Limitations:
- The model assumes fixed superheating (7 K) and subcooling (1 K).
- Isentropic compressor efficiency is assumed to be ideal for simplicity.
- Errors may arise if real-world conditions deviate significantly from these assumptions (see Section 4.5 of the paper for sensitivity analysis).
MATLAB Code for Optimizing Heterogeneous Coupling Gains in Networks of Nonlinear Systems using Leader–Follower Topologies
(Universität Kassel) Kräling, Lukas; Liu, Zonglin; Stursberg, Olaf
Using identical coupling gains in a network of dynamical systems is a common approach in studying synchronization. We consider networks with leader-follower topologies and use heterogeneous coupling gains. This approach allows optimizing the different coupling gains while still guaranteeing synchronization, provided that certain assumptions are met (for further details, see the referenced work).

The code demonstrates the effectiveness of our approach. It shows that the sum of all coupling gains can be reduced significantly. This optimization can be graphically represented. Furthermore, code for a numerical example of the networked dynamics is provided.