Metrics
3,766,099 Downloads
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

451 to 460 of 634 Results
Python Source Code - 1.8 KB - MD5: 7f71e2283de313d85a0828134e59405b
Very simple bit of code that creates histograms based on all the individual experiments for the positional data. It calculates the histograms for each axis individually, the path to where the numpy files are saved and the directory for where the results are to be saved are defined below.
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...
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.
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.
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.
Unknown - 6.7 KB - MD5: 61007deb01a814602f7d3715363a4095
This .yml file configures and reproduces the entire environment via e.g. conda.
XZ Archive - 74.2 KB - MD5: c4c9ae40a97967b2b210464f38171961
Code
Markdown Text - 4.9 KB - MD5: 7011d66a16a0c94f159deae80406e287
Documentation
Gzip Archive - 2.6 GB - MD5: a7012dc173c05d103cdf923b963c7454
Archive containing the docker image built with the recipe from this dataset.
Add Data

Log in to create a dataverse or add a dataset.

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.