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# studyforrest.org Dataset
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[](https://datalad.org)
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[](http://opendatacommons.org/licenses/pddl/summary)
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[]()
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[](http://dx.doi.org/)
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## Structural MRI scans
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This dataset contains T1 and T2 weighted MRI scans, susceptibility weighted
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images, and diffusion imaging scans. These data are suitable for analyses
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of brain structure.
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For more information about the project visit: http://studyforrest.org
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## How to obtain the data files
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This repository is a [DataLad](https://www.datalad.org/) dataset. It provides
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fine-grained data access down to the level of individual files, and allows for
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tracking future updates. In order to use this repository for data retrieval,
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[DataLad](https://www.datalad.org/) is required. It is a free and
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open source command line tool, available for all major operating
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systems, and builds up on Git and [git-annex](https://git-annex.branchable.com/)
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to allow sharing, synchronizing, and version controlling collections of
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large files. You can find information on how to install DataLad at
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[handbook.datalad.org/en/latest/intro/installation.html](http://handbook.datalad.org/en/latest/intro/installation.html).
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### Get the dataset
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A DataLad dataset can be `cloned` by running
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```
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datalad clone <url>
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```
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Once a dataset is cloned, it is a light-weight directory on your local machine.
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At this point, it contains only small metadata and information on the
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identity of the files in the dataset, but not actual *content* of the
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(sometimes large) data files.
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### Retrieve dataset content
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After cloning a dataset, you can retrieve file contents by running
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```
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datalad get <path/to/directory/or/file>
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```
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This command will trigger a download of the files, directories, or
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subdatasets you have specified.
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DataLad datasets can contain other datasets, so called *subdatasets*.
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If you clone the top-level dataset, subdatasets do not yet contain
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metadata and information on the identity of files, but appear to be
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empty directories. In order to retrieve file availability metadata in
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subdatasets, run
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```
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datalad get -n <path/to/subdataset>
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```
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Afterwards, you can browse the retrieved metadata to find out about
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subdataset contents, and retrieve individual files with `datalad get`.
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If you use `datalad get <path/to/subdataset>`, all contents of the
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subdataset will be downloaded at once.
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### Stay up-to-date
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DataLad datasets can be updated. The command `datalad update` will
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*fetch* updates and store them on a different branch (by default
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`remotes/origin/master`). Running
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```
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datalad update --merge
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```
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will *pull* available updates and integrate them in one go.
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### More information
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More information on DataLad and how to use it can be found in the DataLad Handbook at
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[handbook.datalad.org](http://handbook.datalad.org/en/latest/index.html). The chapter
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"DataLad datasets" can help you to familiarize yourself with the concept of a dataset.
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99
README.rst
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README.rst
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@ -1,99 +0,0 @@
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studyforrest.org Dataset
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************************
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|license| |access| |doi|
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Structural MRI scans
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====================
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This dataset contains T1 and T2 weighted MRI scans, susceptibility weighted
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images, and diffusion imaging scans. These data are suitable for analyses
|
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of brain structure.
|
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For more information about the project visit: http://studyforrest.org
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How to obtain the data files
|
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----------------------------
|
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|
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This repository is a `DataLad <https://www.datalad.org/>`__ dataset. It provides
|
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fine-grained data access down to the level of individual files, and allows for
|
|
||||||
tracking future updates up to the level of single files. In order to use
|
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this repository for data retrieval, `DataLad <https://www.datalad.org>`_ is
|
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required. It is a free and open source command line tool, available for all
|
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major operating systems, and builds up on Git and `git-annex
|
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<https://git-annex.branchable.com>`__ to allow sharing, synchronizing, and
|
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version controlling collections of large files. You can find information on
|
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how to install DataLad at `handbook.datalad.org/en/latest/intro/installation.html
|
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<http://handbook.datalad.org/en/latest/intro/installation.html>`_.
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Get the dataset
|
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^^^^^^^^^^^^^^^
|
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A DataLad dataset can be ``cloned`` by running::
|
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datalad clone <url>
|
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|
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Once a dataset is cloned, it is a light-weight directory on your local machine.
|
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At this point, it contains only small metadata and information on the
|
|
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identity of the files in the dataset, but not actual *content* of the
|
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(sometimes large) data files.
|
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|
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Retrieve dataset content
|
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^^^^^^^^^^^^^^^^^^^^^^^^
|
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|
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After cloning a dataset, you can retrieve file contents by running::
|
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|
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datalad get <path/to/directory/or/file>
|
|
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|
|
||||||
This command will trigger a download of the files, directories, or
|
|
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subdatasets you have specified.
|
|
||||||
|
|
||||||
DataLad datasets can contain other datasets, so called *subdatasets*. If you
|
|
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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
|
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order to retrieve file availability metadata in subdatasets, run::
|
|
||||||
|
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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
|
|
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use ``datalad get <path/to/subdataset>``, all contents of the subdataset will
|
|
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be downloaded at once.
|
|
||||||
|
|
||||||
Stay up-to-date
|
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^^^^^^^^^^^^^^^
|
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||||||
|
|
||||||
DataLad datasets can be updated. The command ``datalad update`` will *fetch*
|
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||||||
updates and store them on a different branch (by default
|
|
||||||
``remotes/origin/master``). Running::
|
|
||||||
|
|
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datalad update --merge
|
|
||||||
|
|
||||||
will *pull* available updates and integrate them in one go.
|
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||||||
|
|
||||||
More information
|
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^^^^^^^^^^^^^^^^
|
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More information on DataLad and how to use it can be found in the DataLad Handbook at
|
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`handbook.datalad.org <http://handbook.datalad.org/en/latest/index.html>`_. The
|
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chapter "DataLad datasets" can help you to familiarize yourself with the
|
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concept of a dataset.
|
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|
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.. _Git: http://www.git-scm.com
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.. _git-annex: http://git-annex.branchable.com/
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.. |license|
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image:: https://img.shields.io/badge/license-PDDL-blue.svg
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:target: http://opendatacommons.org/licenses/pddl/summary
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:alt: PDDL-licensed
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.. |access|
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image:: https://img.shields.io/badge/data_access-unrestricted-green.svg
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:alt: No registration or authentication required
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.. |doi|
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image:: https://img.shields.io/badge/doi-missing-lightgrey.svg
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:target: http://dx.doi.org/
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:alt: DOI
|
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