PVC-7 data-subset as a Mesmerize project

Please see the attached README for details.OverviewThis dataset contains a portion of the the pvc-7 dataset available on CRCNS.org in the form of a Mesmerize project (mesmerizelab.org). Please see the original dataset for information regarding the experiment. http://dx.doi.org/10.6080/K0C8276GWe are not affiliated with the authors of the original dataset who did the experiment. The purpose of this sub-dataset is to illustrate an application of Mesmerize.Opening the datasetThe dataset is compresed in tar archive with gzip compression. Decompression can take a while, you may get better performance if you read from a different filesystem than the one that you write to. I recommend using a fast filesystem to store the decompressed data since the image data is large.<strong><br></strong><strong>pigz</strong> should be faster for decompression compared to standard tar. For Ubuntu &amp; Debian based distros you can install pigz through apt. For other distros please check your repositories.<br><code>sudo apt install pigz</code><br>On Mac OSX you can install pigz through brew. See this: https://brewinstall.org/Install-pigz-on-Mac-with-Brew/<br>Decompressing:<code><br></code><code>pigz -dc pvc7_subdataset_mesmerize.tar.gz | tar -xf</code><br>If you cannot install pigz you can decompress with tar. This may take a long time.<code><br></code><code>tar xvzf pvc7_subdataset_mesmerize.tar.gz</code><br>This will probably decompress into a directory called "share". Navigate to <code>share/data/temp/kushal</code> and you should see the project directory "pvc7_subdataset_mesmerize".Once decompressed, you can explore the dataset using Mesmerize. Simply open the Project Directory through the Mesmerize Welcome Window (the window that you are presented with when you launch Mesmerize). You will see the available analysis flowcharts and plots similar to this: http://www.mesmerizelab.org/Overview.html#welcome-windowDouble click on a flowchart or plot to open it. See the "Flowchart" and "Plots" sections below for details.You can explore individual project samples by using the Project Browser and double-clicking on the samples of interest. Note that the image sequence is large (~50GB) so make sure you have enough RAM available if you want to view it.