## 1000 Functional Connectomes’ Project (FCP)
The [FCP](http://fcon_1000.projects.nitrc.org/fcpClassic/FcpTable.html) dataset
contains 1200+ subjects with resting state functional MRI (R-fMRI) independently
collected at 33 sites.

## Dataset Structure
Each site directory in this dataset is a DataLad subdataset. The command
``datalad get -n <site>`` clones this subdataset and allows access to the
site's data.

## Dataset Citation
The following text snippet (or something similar) should be included in the
Methods section of publications to state that this dataset was downloaded,
restructured, and managed as a DataLad dataset:

> Data from the 1000 Functional Connectomes’ Project were retrieved using
DataLad (Halchenko et al.) from the publicly provided [DataLad dataset](http://datasets.datalad.org/).
This dataset provides streamlined, per-file-level access to the official data
sources.

> Halchenko et al., (2021). DataLad: distributed system for joint management of
code, data, and their relationship. Journal of Open Source Software, 6(63),
3262, https://doi.org/10.21105/joss.03262

## DataLad datasets
This repository is a [DataLad](https://www.datalad.org/) 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](https://www.datalad.org/) 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](https://git-annex.branchable.com/)
to allow sharing, synchronizing, and version controlling collections of
large files.

More information on DataLad and how to use it can be found in the DataLad
Handbook at [handbook.datalad.org](http://handbook.datalad.org/en/latest/index.html).