No Description

Julian Kosciessa 1dedda7c6e delete empty events files 3 months ago
.datalad 577630dce3 [DATALAD] new dataset 10 months ago
channel_locations a378dc1f3d cleanup trash files, add to gitignore list 8 months ago
documentation 031de7ca98 add april newsletter, update symlinks (?) 5 months ago
eeg_BIDS 1dedda7c6e delete empty events files 3 months ago
events a378dc1f3d cleanup trash files, add to gitignore list 8 months ago
.gitattributes 6abe12f7a3 Instruct annex to add text files to Git 10 months ago
.gitignore a378dc1f3d cleanup trash files, add to gitignore list 8 months ago
README.md 25413030a4 add readme 8 months ago
datacite.yml 86e796f325 Add information for publishing with DataCite 4 months ago

README.md

made-with-datalad

Data for EEGmanypipelines project

Originally downloaded from https://uni-muenster.sciebo.de/s/zg2U8xVNZbRHqzg.


DataLad datasets and how to use them

This repository is a DataLad dataset. It provides fine-grained data access down to the level of individual files, and allows for tracking future updates. In order to use this repository for data retrieval, DataLad is required. It is a free and open source command line tool, available for all major operating systems, and builds up on Git and git-annex to allow sharing, synchronizing, and version controlling collections of large files. You can find information on how to install DataLad at handbook.datalad.org/en/latest/intro/installation.html.

Get the dataset

A DataLad dataset can be cloned by running

datalad clone <url>

Once a dataset is cloned, it is a light-weight directory on your local machine. At this point, it contains only small metadata and information on the identity of the files in the dataset, but not actual content of the (sometimes large) data files.

Retrieve dataset content

After cloning a dataset, you can retrieve file contents by running

datalad get <path/to/directory/or/file>`

This command will trigger a download of the files, directories, or subdatasets you have specified.

DataLad datasets can contain other datasets, so called subdatasets. If you clone the top-level dataset, subdatasets do not yet contain metadata and information on the identity of files, but appear to be empty directories. In order to retrieve file availability metadata in subdatasets, run

datalad get -n <path/to/subdataset>

Afterwards, you can browse the retrieved metadata to find out about subdataset contents, and retrieve individual files with datalad get. If you use datalad get <path/to/subdataset>, all contents of the subdataset will be downloaded at once.

Stay up-to-date

DataLad datasets can be updated. The command datalad update will fetch updates and store them on a different branch (by default remotes/origin/master). Running

datalad update --merge

will pull available updates and integrate them in one go.

Find out what has been done

DataLad datasets contain their history in the git log. By running git log (or a tool that displays Git history) in the dataset or on specific files, you can find out what has been done to the dataset or to individual files by whom, and when.

More information

More information on DataLad and how to use it can be found in the DataLad Handbook at handbook.datalad.org. The chapter "DataLad datasets" can help you to familiarize yourself with the concept of a dataset.

datacite.yml
Title Data for EEGmanypipelines
Authors Kosciessa,Julian;Max Planck Institute for Human Development;ORCID:0000-0002-4553-2794
Description BIDS data provided for the EEGmanypipelines analyses
License All rights remain with the data providers. (NaN)
References
Funding
Keywords Neuroscience
EEG
Manypipelines
Resource Type Dataset