411 to 420 of 462 Results
Python Source Code - 3.5 KB -
MD5: ba65fedc1012f5f7daef9ad023d2f30b
This code is fairly simple and just creates a scatter plot for an individual experiment based on the trajectory data which is saved into individual numpy files.
It is important to only access one experiment at a time in this code as a combination of all results would not yield a reflective result as too many data points are available then.
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Python Source Code - 3.5 KB -
MD5: 9d5b264de73ba3ca6cd8621de6eae954
This code is fairly simple and just creates a scatter plot for an individual experiment based on the trajectory data, which is saved into individual numpy files.
It is important to only access one experiment at a time in this code as a combination of all results would not yield a reflective result as too many data points are available then.
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Unknown - 6.7 KB -
MD5: 61007deb01a814602f7d3715363a4095
This .yml file configures and reproduces the entire environment via e.g. conda. |
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 experiment in the laboratory, or every simulation generates huge amounts... |
JPEG Image - 59.8 KB -
MD5: e5d221890b6d337816ad57dd4b63b393
Structure of data in SPP2170 |
Adobe PDF - 632.1 KB -
MD5: 41ea51bc559d4712fad05ea31bf0d047
Research Data Management Plan SPP 2170 |
Dec 16, 2022
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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) Lagrangian evaluations of velocity and acceleration (3) Eulerian evaluations o... |
Plain Text - 842.0 KB -
MD5: 69df405f29767373d301a5b61f86ac24
sample output file of M-Star for numerical particles; here: massless tracer (fluid!); impeller frequency of 252 rpm |
Plain Text - 2.2 MB -
MD5: c1ecb2833c3ecf2937abb556ba150f27
sample of raw output file of DaVis; 180 µm particles, density of 1000 kg/m^3 at an impeller frequency of 252 rpm; in total approx. 17000 particles in reactor |