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

[Dataset] Linnik-Interferometer with Ring-Shaped Optical MEMS Shutter Array enabling dynamic annular illumination for fast and reliable measurement of sloped and curved surface microstructures
(Universität Kassel) Künne, Marco
This dataset contains the raw measurement data underlying the associated publication. All measurements were acquired using a Linnik interferometer equipped with 0.95 NA objectives and a royal blue LED as the illumination source. Image acquisition was performed during an axial scan of the measurement object, with a fixed step size of 20 nm between successive frames. To improve measurement reliability at high surface slopes, an optical MEMS array functioning as a ring shutter was introduced into the illumination pathway. The effectiveness of this approach is validated through measurements of steel spheres with a nominal diameter of approximately 6 µm.
Large-Scale Quantum Mechanics with Hartree-Fock
(Universität Kassel) Wieners, Luc Valentin; Garcia, Martin Ezequiel
This dataset contains the source code for performing large-scale quantum-mechanical calculations for biophysical systems using the Hartree-Fock method. One use case of the software is the calculation of electronic structures for given biological structures such as proteins at a lower accuracy but with fast run times and a linear complexity. This is achieved by using the quantum-mechanical Hartree-Fock method with a minimal basis set and in combination with a divide-and-conquer approach and the truncation of long-range interactions. Another application is the calculation of absorption spectra for biological systems which is done with the real-time time-dependent Hartree-Fock method. The main file is a python source code which is accelerated using the libraries pytorch and numba for matrix operations and just-in-time compilation. Further information about the use of the software and other deposited files are found in the ReadMe file.
Lie Symmetry-Based Local Observability and Identifiability Analysis
(Universität Kassel) Baberuxki, Nick; Seiler, Werner M.
This data presents a MAPLE implementation for Lie symmetry-based local observability and structural local identifiability analysis of nonlinear control systems. The implementation includes multiple illustrative examples demonstrating its application to different classes of nonlinear systems. Developed as part of a master’s project, this material accompanies and supports the results presented in the associated master's thesis.
Numerical Simulations for ‘Autonomous Circadian Oscillators Intrinsic to Cell Membranes’
(Universität Kassel) Forlino, Mauro Ariel; Garcia, Martin Ezequiel; Piro, Oreste; Stengl, Monika
This repository contains the computational models and simulation code for the membrane-based circadian oscillator described in:

**"Autonomous circadian oscillators intrinsic to cell membranes"**
Mauro A. Forlino, Oreste Piro, Monika Stengl & Martin E. Garcia
https://doi.org/10.21203/rs.3.rs-8788655/v1

Numerical models for "Autonomous circadian oscillators intrinsic to cell membranes" (Forlino, Piro, Stengl, Garcia). Computational models supporting the hypothesis that cell membranes can host autonomous post-translational feedback loops (PTFLs) capable of generating circadian (~24 h) oscillations independently of nuclear transcription-translation feedback. Two cell types are modeled: anucleate red blood cells, using a Goodwin-type feedback architecture, and neurons, using a Hodgkin-Huxley framework with coupled fast positive and delayed negative feedback. Both models produce self-sustained ~24 h oscillations without nuclear input.
Phoenix dactylifera - occurence and environmetal data
(Universität Kassel) Kamkar, Behnam; Abdi, Omid; Wiehle, Martin
This dataset comprises occurence data (277 presence, 571 absence) of putative wild date palm locations obtained from citizen science databases (Global Biodiversity Information Facility - GBIF, www.gbif.org and iNaturalist - www.inaturalist.org) and literature screenings. In addition, their corresponding environmental parameters obtained from various sources are available.