FB 16 Elektrotechnik / Informatik
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Research Data Improving Energy Efficiency in Loop Pipelining by Rational-II Modulo SchedulingFiege, Nicolai; Sittel, Patrick; Zipf, PeterResearch Data Synthetic Photovoltaic and Wind Power Forecasting DataSchreiber, Jens; Vogt, StephanResearch Data Dataset of a parameterized U-bend flow for Deep Learning ApplicationsDecke, Jens; Wünsch, Olaf; Sick, BernhardResearch Data Multiple Constant Multiplication using Boolean Satisfiability (SAT MCM)Fiege, Nicolai; Kumm, Martin; Zipf, PeterResearch Data Additional BDD100K Context AnnotationsHeidecker, Florian; Fuchs, Erich; Sick, Bernhard; Susetzky, TobiasResearch Data Three-Dimensional Transfer Functions of Interference Microscopes [Dataset]Lehmann, Peter; Hagemeier, Sebastian; Pahl, TobiasResearch Data S-MSRRS5000: A Simulated Dataset Highlighting the Challenges of Data Obtained From Multiple Spatially Resolved Reflection SpectroscopyMagnussen, Birk Martin; Jessulat, Maik; Stern, Claudius; Sick, BernhardResearch Data Untersuchung der Transporteigenschaften von hergestellten MASH-Partikeln [Videos]Kaban, Burhan ÜzeyirDie Videos zeigen den Transport von MASH-Partikeln (Multifunctional Anisotropically Shaped Hybrid Particles) mithilfe von 3D-Helmholtz-Spulen. Die Partikel bestehen aus zwei Schichten, die jeweils aus einem Gast-Wirt-System aufgebaut sind. Dabei besteht die erste Schicht aus dem fluoreszierenden Phosphol als Gast-Partikel/Molekül und als Wirt-Polymer wird PMMA verwendet. Die zweite Schicht besteht aus AMONIL (Wirt-Polymer) und beinhaltet superparamagnetische Fe3O4-Partikel (Gast-Partikel). Durch Anlegen eines externen Magnetfelds werden die MASH-Partikel auf einem Exchange-Bias-Substrat in eine Vorzugsrichtung transportiert.Research Data Low-cost high-speed fiber-coupled interferometer for precise surface profilometry [Dataset](Universität Kassel) Hagemeier, Sebastian; Zou, Yijian; Pahl, Tobias; Rosenthal, Felix; Lehmann, PeterThis dataset contains raw data obtained by a fiber-coupled laser interferometer for surface profilometry (NA = 0.38, wavelength = 1550 nm) and a dataset measured by an atomic force microscope for reference. The data obtained by the laser interferometer includes surface profiles measured from a chirp standard manufactured by the PTB (Physikalisch-Technische Bundesanstalt, Germany), a sinusoidal standard 531 from Simetrics GmbH, and height values obtained from the identical position of an aluminum mirror. These results are shown in section 3 of the article mentioned below. The data are saved in an HFD5 file format and can be used by example codes programmed using the software Python and Matlab. Furthermore, the interference signal shown in Figure 3 is in a CSV file format in the dataset. In addition, a profile obtained from the fine chirp texture of the chirp standard measured by an atomic force microscope (Nanite, Nanosurf AG) with EBD-HAR probe IP from Nanotools GmbH in non-contact mode is contained in the dataset. These data are saved in a CSV file format and can be used by example a code programmed using the software Python. IMPORTANT: In case you use the data please cite our corresponding article mentioned below.Research Data Frequency selective illumination for high aperture coherence scanning interferometry [Dataset](Universität Kassel) Künne, Marco; Lehmann, Peter; Pahl, Tobias; Stelter, AndreThis 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.Research Data 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, DžananSimBench 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.