1 to 10 of 14 Results
Feb 18, 2020
DFG priority project SPP 2170 InterZell |
Apr 6, 2020 - Tutorials & Manuals
Schäfer, Richard A.; Lott, Steffen C.; Georg, Jens; Grüning, Björn; Hess, Wolfgang; Voß, Björn, 2020, "GLASSgo Setup & Usage", https://doi.org/10.18419/darus-517, DaRUS, V2
Instruction video to install and use GLASSgo on multiple resources (e.g., Docker, Galaxy, web server). GLASSgo is available at Github with instructions and application data and is distributed under the MIT license. Furthermore, GLASSgo can applied using the RNA Workbench Server o... |
Dec 16, 2022 - Research Data Management of the SPP2170 'InterZell'
Rehnert, Martina; Takors, Ralf, 2022, "Data Management of a Biotechnology Network as a Contribution to FAIR Data Mangement", https://doi.org/10.18419/darus-829, DaRUS, V1
The Research Data Management Plan (RDMP) of the priority program SPP 2170 is the formal document that should help to mangage the handling of data. Since enormous amounts of research data (Big Data) will be generated, the exchange and access to the data should be ensured. Every ex... |
Apr 23, 2024 - CHOLife_TUHH_LSP_tracking
Hofmann, Sebastian; Buntkiel, Lukas; Rautenbach, Ryan; Gaugler, Lena; Ma, Yifan; Haase, Ingrid; Fitschen, Jürgen; Wucherpfennig, Thomas; Reinecke, Sebastian; Hoffmann, Marko; Takors, Ralf; Hampel, Uwe; Schlüter, Michael, 2024, "Data for: Experimental Analysis of Lifelines in a 15,000 L Bioreactor by Means of Lagrangian Sensor Particles", https://doi.org/10.18419/darus-3768, DaRUS, V1
The DaRUS repository entails the raw files, result files and the MATLAB codes for the publication "Experimental Analysis of Lifelines in a 15,000 L Bioreactor by Means of Lagrangian Sensor Particles" in the journal "Chemical Engineering Research and Design". This study employs La... |
Jan 16, 2020
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Jun 24, 2022 - CHOLife_TUHH_4DPTV
Hofmann, Sebastian; Weiland, Christian; Fitschen, Jürgen; von Kameke, Alexandra; Hoffmann, Marko; Schlüter, Michael, 2022, "Code for: Lagrangian sensors in a stirred tank reactor: Comparing trajectories of 4D-Particle Tracking Velocimetry and Lattice-Boltzmann simulations", https://doi.org/10.18419/darus-2294, DaRUS, V1
This dataset entails exemplary segments of raw data and MATLAB code that implements the following topics: (1) Raw data handling of the output files of DaVis (4D-PTV) and M-Star (Lattice-Boltzmann Large Eddy Simulation) for particle tracking in a stirred tank reactor, (2) Lagrangi... |