1 to 10 of 18 Results
Sep 12, 2024
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Aug 2, 2024 - DBTL-Data
Hägele, Lorena; Takors, Ralf, 2024, "Getting the right clones in an automated manner: an alternative to sophisticated colony-picking robotics", https://doi.org/10.18419/darus-4355, DaRUS, V1
In recent years, the Design-Build-Test-Learn (DBTL) cycle has become a key concept in strain engineering. Modern biofoundries enable automated DBTL cycling using robotic devices. However, both highly automated facilities and semi-automated facilities encounter bottlenecks in clon... |
Aug 1, 2024
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Jul 29, 2024 - CHOLife_TUHH_LSP_tracking
Rautenbach, Ryan; Buntkiel, Lukas; Schäfer, Jan; Hofmann, Sebastian, 2024, "Processes data and code for Dynamics of Lagrangian Sensor Particles", https://doi.org/10.18419/darus-4238, DaRUS, V1
This repository entails the data and Pythoncode for the publication "Dynamics of Lagrangian Sensor Particles: The Effect of Non-Homogeneous Mass Distribution" in the journal "Processes". In the following a brief introduction and guide based on the folders in the repository is lai... |
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... |
Mar 13, 2023 - CHOLife_TUHH_LSP_tracking
Hofmann, Sebastian; Rautenbach, Ryan, 2023, "Code for: Experimental Investigations of the Flow-Following Capabilities and Hydrodynamic Characteristics of Lagrangian Sensor Particles With Respect to Their Centre of Mass", https://doi.org/10.18419/darus-3314, DaRUS, V1
Data for 2D Lagrangian Particle tracking and evaluation for their hydrodynamic characteristics ## Abstract This dataset entails PYTHON code for fluid mechanic evaluation of Lagrangian Particles with the "Consensus-Based tracking with Selective Rejection of Tracklets" (CSRT) algor... |
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... |
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... |
