#ccna-timeseries

This project contains timeseries and connectome for the CCNA dataset 2020 release.
Features were extracted using https://github.com/ccna-biomarkers/ccna_ts_extraction.

##Installation

###Software pre-requisites

For dataset management, we are using datalad.
To install datalad, first make sure that you have [git-annex](https://git-annex.branchable.com/install/) installed.
Then you can:
```
pip install datalad
```

###Usage

Data is stored on criugm servers and can be downloaded if you can log-in to `elm`.



###For maintainers

Once loged-in on elm, create a datalad dataset:
```
ssh elm
datalad create -c text2git ccna-timeseries && ccna-timeseries
echo "* annex.largefiles=(((mimeencoding=binary)and(largerthan=0))or((include=*timeseries.tsv)or(include=*connectome.tsv)))" >> .gitattributes
```

Copy all connectomes and timeseries file, and copy the `participants.tsv` file.

Create a git repository on github.com:ccna-biomarkers/ccna-timeseries.git

Finally, configure the git remote and push files:
```
git remote add github [email protected]:ccna-biomarkers/ccna-timeseries.git
datalad push --to github
```

Optionnally, you can make sure the `main` or `master` branch is indeed the default, if not update it in the github setting.