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
Differentiation between Hydrolytic and Thermo-Oxidative Degradation of Poly(lactic acid) and Poly(lactic acid)/Starch Composites in Warm and Humid Environments [Dataset]
(Universität Kassel) Goetjes, Victoria; Zarges, Jan-Christoph; Heim, Hans-Peter
For the application of poly(lactic acid) (PLA) and PLA/starch composites in technical components such as toys, it is essential to know their degradation behavior under relevant application conditions in a hydrothermal environment. For this purpose, composites made from PLA and native potato starch were produced using twin-screw extruders and then processed into test specimens, which were then subjected to various one-week ageing processes with varying temperatures (23, 50, 70, 90 °C) and humidity levels (10, 50, 75, 90%). This was followed by mechanical characterization (tensile test) and identification of degradation using Gel Permeation Chromatography (GPC), Thermogravimetric Analysis (TGA), Fourier Transform Infrared Spectroscopy (FTIR), and Nuclear Magnetic Resonance spectroscopy (NMR). With increasing temperature and humidity, there was a clear degradation of the PLA, which could be reduced or slowed down by adding 50 wt.% starch, due to increased crystallinity. Hydrolysis was identified as the main degradation mechanism for PLA and PLA/starch composites, especially above the glass transition temperature, with thermo-oxidative degradation also playing a subordinate role. Both hydrolytic degradation and thermo-oxidative degradation led to a reduction in mechanical properties such as tensile strength.
In case you use the data please cite our corresponding article (https://doi.org/10.3390/ma17153683).
Legume-colonizing aphids as potential PNYDV-vectors: Reproduction and infestation dynamics in two different field bean varieties [Dataset]
(Universität Kassel) Berawe, Ahmed; Ziebell, Heiko; Seeger, Judith Nora; Saucke, Helmut
This data and corresponding manuscript partly demonstrates why the ‘GL Sunrise’ faba bean variety has exhibiting lower viral symptoms in the field despite lacking resistance to Pea necrotic yellow dwarf virus (PNYDV). The apparent field resistance to PNYDV in the faba bean cultivar ‘GL Sunrise’ is due to effects on aphid vectors that transmit the virus between plants. This research shows aphid reproduction on the ‘GL Sunrise’ variety was lower compared to the ‘Fuego’ variety. This work also shows the importance of conducting lab experiments to complement field work with relevant field-derived aphid strains. This research provides valuable insights into PNYDV occurrence in the field and informs the development of resistant varieties. This work also shows that varietal testing should include assays to test a range of aphid behaviours as well as growth and reproduction when evaluating new varieties.
SimBench—A Benchmark Dataset of Electric Power Systems to Compare Innovative Solutions Based on Power Flow Analysis
(Universität Kassel, e²n; Fraunhofer IEE; RWTH Aachen, IAEW; TU Dortmund, ie³) Meinecke, Steffen; Klettke, Annika; Drauz-Mauel, Simon; Braun, Martin; Spalthoff, Christian; Sprey, Julian; Kittl, Chris; Moser, Albert; Cronbach, Dennis; Rehtanz, Christian; van Leeuwen, Tobias; Bornhorst, Nils; Lauven, Lars-Peter; Kneiske, Tanja M.; Sarajlić, Džanan
SimBench is a benchmark data set for solutions in grid analysis, grid planning and grid operation management. This data set is intended to make developments of new methods and solutions independent of non-publicly available individual grid data sets to ensure reproducability, comparability, and transparency of various developments in this field.
BioRestBrennstoff - Stoffdatenbank aus Brennstoffanalysen
(Universität Kassel) Scheff, Viktoria; Laner, David; Dürl, Gregor; Kaetzl, Korbinian; Raza, Hafiz Ali
Die BRB-Stoffdatenbank ist ein Ergebnis aus dem vom BMWK geförderten Forschungsprojekt "BioRestBrennstoff" und beinhaltet Analysenergebnisse aus der Laboranalytik der Materialien (BRB_Materialien), der generierten Biorestbrennstoffe und deren Mischungen aus den Verbrennungsversuchen (BRB_Brennstoffe) und der Aschen zur weitergehenden Bewertung des Ascheschmelzverhaltens (BRB_Ascheanalytik). Analysiert wurden verschiedene Materialien aus dem Kompost-Siebüberlauf der Bioabfallbehandlung, die aus insgesamt drei Aufbereitungskampagnen gewonnen wurden, Silage aus Grünlandreststoffen und durch das IFBB-Verfahren (Integrierte Festbrennstoff- und Biogasproduktion aus Biomasse) erzeugte Pellets sowie holzige Referenzbrennstoffe. Für die einzelnen Materialien aus dem Kompost-Siebüberlauf wird die fraktionsspezifische Zusammensetzung dargestellt. Das Ziel mit dieser Datenbank ist die Erweiterung der Datenbasis für Stoffdaten biogener Rest- und Abfallstoffe. Die Datenbank kann erweitert oder in ihrer Struktur für eigene Analysen angewendet werden. Besonderer Fokus wurde hierbei auf eine eindeutige Bezeichnung der Bezugszustände gelegt, damit die Daten nachvollziehbar und eindeutig beschrieben werden können. Die Ergebnisse aus dem Projekt wurden im Schlussbericht des Projekts ausführlich dargestellt. Dementsprechend wird in Bezug auf eine umfassende Dokumentation der genutzen Material und Methoden sowie der erzeugten Ergebnisse auf den Schlussbericht verwiesen.
Frequency selective illumination for high aperture coherence scanning interferometry [Dataset]
(Universität Kassel) Künne, Marco; Lehmann, Peter; Pahl, Tobias; Stelter, Andre
This dataset containes raw measurement data from a coherence scanning interferometer of the Linnik type. Two 0.95 NA objectives were used for this measurement. The wavelength used for all these measurements is 450 nm and the step size between every z-step is 20 nm. Information about the different apertures used for the measurements are described in detail in the corresponding publication.
IMPORTANT: In case you use the data please cite our corresponding article mentioned below.