Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

11 to 14 of 14 Results
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...
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...
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.
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.