Not a validation error, but generates noise. https://github.com/validator/validator/wiki/Markup-%C2%BB-Void-elements#trailing-slashes-directly-preceded-by-unquoted-attribute-values
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74 lines
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<title>Data Access</title>
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<meta name="save_as" content="access.html">
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<meta name="url" content="access.html">
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<body>
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<p>All <em>StudyForrest</em> data are contained in a collection of
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<a href="https://www.datalad.org/">DataLad</a> datasets hosted on
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<a href="https://github.com/psychoinformatics-de/studyforrest-data">GitHub</a>,
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<a href="https://openneuro.org/datasets/ds000113">OpenNeuro</a>,
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and <a href="https://gin.g-node.org/studyforrest">GIN</a>.</p>
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<p>DataLad provides fine-grained data access down to the level of
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individual files, and allows for tracking future updates. It is a free
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and open source command line tool, available for all major operating
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systems, and builds upon Git and <a href="https://git-annex.branchable.com">git-annex</a>
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to share, synchronize, and version control collections of large files.</p>
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<p>More information on DataLad and
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<a href="https://handbook.datalad.org/en/latest/intro/installation.html">how to install it</a>
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can be found in the <a href="https://handbook.datalad.org/en/latest/index.html">DataLad Handbook</a>.</p>
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<h2>Get the Dataset</h2>
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<p>The dataset can be <code>cloned</code> by running:</p>
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<pre><code>datalad clone https://github.com/psychoinformatics-de/studyforrest-data</code></pre>
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<p>Once the dataset is cloned, it is a light-weight directory on your local
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machine. At this point, it contains only small metadata and information
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on the identity of the files in the dataset, but not actual
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<em>content</em> of the (sometimes large) data files.</p>
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<h3>Retrieve Dataset Content</h3>
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<p>After cloning the dataset, you can retrieve file contents by running:</p>
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<pre><code>datalad get path/to/directory/or/file</code></pre>
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<p>This command will trigger a download of the files, directories, or
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subdatasets you have specified.</p>
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<p>This dataset contains other datasets, so called <em>subdatasets</em>.
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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:</p>
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<pre><code>datalad get -n path/to/subdataset</code></pre>
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<p>Afterwards, you can browse the retrieved metadata to find out about
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subdataset contents, and retrieve individual files with <code>datalad
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get</code>. If you use <code>datalad get path/to/subdataset</code>,
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all contents of the subdataset will be downloaded at once.</p>
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<h2>Terms of Use</h2>
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<p>All data are released to the public under the
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<a href="https://opendatacommons.org/licenses/pddl/1-0/">ODC Public Domain Dedication and Licence (PDDL)</a>.
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Offering these data for download or through other means is encouraged;
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we only ask that you add a reference to this website. In order to
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provide a comprehensive overview of entities hosting these data, or any
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derived data artifacts, please let us know at
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<a href="mailto:info@studyforrest.org?subject=studyforrest.org">info@studyforrest.org</a>
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what data access you are providing.</p>
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<h3>How to Cite</h3>
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<p>If you use these data, please follow good scientific practice and cite
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any relevant publications. A list of all publications can be found on the
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<a href="/publications.html">Publications Page</a>.</p>
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<h2>Hosting</h2>
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<p>We are grateful to our data hosting providers for their support, sponsored
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bandwidth, and storage capacity.</p>
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<div class="thanks-logos">
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<a href="https://gin.g-node.org"><img src="/img/logo/gin.svg" alt="GIN Logo"></a>
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<a href="https://www.fz-juelich.de/portal/EN/"><img src="/img/logo/fzj.svg" alt="Forschungszentrum Jülich Logo"></a>
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<a href="https://openneuro.org"><img src="/img/logo/openneuro.svg" alt="OpenNeuro Logo"></a>
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</div>
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</body>
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</html>
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