Institute of Biochemical Engineering

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2,901 to 2,910 of 2,949 Results

multitracker_RMR_w_recognition_CSRT_tracker.py Mar 13, 2023 - Code for: Experimental Investigations of the Flow-Following Capabilities and Hydrodynamic Characteristics of Lagrangian Sensor Particles With Respect to Their Centre of Mass Python Source Code - 9.4 KB - MD5: 6ab0f22bbd2e4132d9a2b9ae1a9484ef The first step in the experimental evaluation is the tracking via "opencv". It is important to note that the tracking requires images that are in one directory/folder and sorted in the necessary order through which the algorithm is to run through. Prior to the tracking the images should be cropped to a necessary size, in the case of the tracking fo...
total_circ.py Mar 13, 2023 - Code for: Experimental Investigations of the Flow-Following Capabilities and Hydrodynamic Characteristics of Lagrangian Sensor Particles With Respect to Their Centre of Mass Python Source Code - 3.4 KB - MD5: 4d6b58cd67bfa90b4530bef226d3101c This code is used to determine the circulation times and amount of circulations based on the positional results.
velocity_plotter_40mm.py Mar 13, 2023 - Code for: Experimental Investigations of the Flow-Following Capabilities and Hydrodynamic Characteristics of Lagrangian Sensor Particles With Respect to Their Centre of Mass 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.
velocity_plotter.py Mar 13, 2023 - Code for: Experimental Investigations of the Flow-Following Capabilities and Hydrodynamic Characteristics of Lagrangian Sensor Particles With Respect to Their Centre of Mass 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.
working_env_RMR.yml Mar 13, 2023 - Code for: Experimental Investigations of the Flow-Following Capabilities and Hydrodynamic Characteristics of Lagrangian Sensor Particles With Respect to Their Centre of Mass Unknown - 6.7 KB - MD5: 61007deb01a814602f7d3715363a4095 This .yml file configures and reproduces the entire environment via e.g. conda.
DataVerse_InterZell 2020-04-24 110741.jpg Dec 16, 2022 - Data Management of a Biotechnology Network as a Contribution to FAIR Data Mangement JPEG Image - 59.8 KB - MD5: e5d221890b6d337816ad57dd4b63b393 Structure of data in SPP2170
SPP2170_InterZell_DMPV1_1.pdf Dec 16, 2022 - Data Management of a Biotechnology Network as a Contribution to FAIR Data Mangement Adobe PDF - 632.1 KB - MD5: 41ea51bc559d4712fad05ea31bf0d047 Research Data Management Plan SPP 2170
0.000_0000_0252rpm_sample.txt Jun 24, 2022 - Code for: Lagrangian sensors in a stirred tank reactor: Comparing trajectories of 4D-Particle Tracking Velocimetry and Lattice-Boltzmann simulations 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
0.180_1000_0252rpm_17000_sample.txt Jun 24, 2022 - Code for: Lagrangian sensors in a stirred tank reactor: Comparing trajectories of 4D-Particle Tracking Velocimetry and Lattice-Boltzmann simulations 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
0.180_1000_0252rpm_sample.txt Jun 24, 2022 - Code for: Lagrangian sensors in a stirred tank reactor: Comparing trajectories of 4D-Particle Tracking Velocimetry and Lattice-Boltzmann simulations Plain Text - 971.1 KB - MD5: 7ef9238c586ee9e1fd586f5e79b792ef sample output file of M-Star for numerical particles; here: Polyethylene (PE) particles with density of 1000 kg/m^3; impeller frequency of 252 rpm

multitracker_RMR_w_recognition_CSRT_tracker.py

Mar 13, 2023 - Code for: Experimental Investigations of the Flow-Following Capabilities and Hydrodynamic Characteristics of Lagrangian Sensor Particles With Respect to Their Centre of Mass

Python Source Code - 9.4 KB -

The first step in the experimental evaluation is the tracking via "opencv". It is important to note that the tracking requires images that are in one directory/folder and sorted in the necessary order through which the algorithm is to run through. Prior to the tracking the images should be cropped to a necessary size, in the case of the tracking fo...

total_circ.py

Mar 13, 2023 - Code for: Experimental Investigations of the Flow-Following Capabilities and Hydrodynamic Characteristics of Lagrangian Sensor Particles With Respect to Their Centre of Mass

Python Source Code - 3.4 KB -

This code is used to determine the circulation times and amount of circulations based on the positional results.

velocity_plotter_40mm.py

Mar 13, 2023 - Code for: Experimental Investigations of the Flow-Following Capabilities and Hydrodynamic Characteristics of Lagrangian Sensor Particles With Respect to Their Centre of Mass

Python Source Code - 3.5 KB -

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.

velocity_plotter.py

Mar 13, 2023 - Code for: Experimental Investigations of the Flow-Following Capabilities and Hydrodynamic Characteristics of Lagrangian Sensor Particles With Respect to Their Centre of Mass

Python Source Code - 3.5 KB -

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.

working_env_RMR.yml

Mar 13, 2023 - Code for: Experimental Investigations of the Flow-Following Capabilities and Hydrodynamic Characteristics of Lagrangian Sensor Particles With Respect to Their Centre of Mass

Unknown - 6.7 KB -

This .yml file configures and reproduces the entire environment via e.g. conda.

DataVerse_InterZell 2020-04-24 110741.jpg

Dec 16, 2022 - Data Management of a Biotechnology Network as a Contribution to FAIR Data Mangement

JPEG Image - 59.8 KB -

Structure of data in SPP2170

SPP2170_InterZell_DMPV1_1.pdf

Dec 16, 2022 - Data Management of a Biotechnology Network as a Contribution to FAIR Data Mangement

Adobe PDF - 632.1 KB -

Research Data Management Plan SPP 2170

0.000_0000_0252rpm_sample.txt

Jun 24, 2022 - Code for: Lagrangian sensors in a stirred tank reactor: Comparing trajectories of 4D-Particle Tracking Velocimetry and Lattice-Boltzmann simulations

Plain Text - 842.0 KB -

sample output file of M-Star for numerical particles; here: massless tracer (fluid!); impeller frequency of 252 rpm

0.180_1000_0252rpm_17000_sample.txt

Jun 24, 2022 - Code for: Lagrangian sensors in a stirred tank reactor: Comparing trajectories of 4D-Particle Tracking Velocimetry and Lattice-Boltzmann simulations

Plain Text - 2.2 MB -

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

0.180_1000_0252rpm_sample.txt

Jun 24, 2022 - Code for: Lagrangian sensors in a stirred tank reactor: Comparing trajectories of 4D-Particle Tracking Velocimetry and Lattice-Boltzmann simulations

Plain Text - 971.1 KB -

sample output file of M-Star for numerical particles; here: Polyethylene (PE) particles with density of 1000 kg/m^3; impeller frequency of 252 rpm

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