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@@ -235,17 +235,20 @@ <h2 id="1-request-access-to-a-cubic-project">1. Request access to a CUBIC projec
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<p><spanstyle="color: #7556b7;">🌟 <strong>Check the <codeclass="language-plaintext highlighter-rouge">DUA</code> section on the dataset-specific page and obtain the appropriate DUA</strong> (Dataset-specific links listed <ahref="/AI2D/docs/datasets">here</a>).</span></p>
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<p>Then, follow these steps:</p>
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<p><strong>If <codeclass="language-plaintext highlighter-rouge">DUA</code> is <codeclass="language-plaintext highlighter-rouge">None</code></strong>, all CUBIC users have read-access to that <codeclass="language-plaintext highlighter-rouge">CUBIC Project</code>.</p>
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<p><strong>If <codeclass="language-plaintext highlighter-rouge">DUA</code> is NOT <codeclass="language-plaintext highlighter-rouge">None</code></strong>, follow these steps:</p>
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<ol>
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<li>Send Dr. Satterthwaite a request including the following:
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<li>Send Tien Tong (<spanstyle="color: blue;"><strong>Tien.Tong@PennMedicine.upenn.edu</strong></span>) a request including the following:
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<ul>
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<li>The level of access, in this case, you will need <strong>read-only access</strong></li>
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<li>The name of the user[s] to be given access (full name or login name). If you plan to store and analyze data in a CUBIC project, you should use <strong>your project username</strong>, not personal CUBIC username.</li>
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<li>The full path to the project you need access to, <codeclass="language-plaintext highlighter-rouge">/cbica/projects/<project_name></code>.</li>
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<li>Any DUA requirements.</li>
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</ul>
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</li>
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<li>Submit the DUA (if required) and Dr. Satterthwaite’s approval (PDF) — specifying access level, requesting users/project users, and the full project path — to <spanstyle="color: blue;"><strong>help@cbica.upenn.edu</strong></span>.</li>
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<li>Tien will forward your request to the CUBIC admins and notify you when access is granted.</li>
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</ol>
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<p><spanstyle="color: #7556b7;">🌟 <strong>Once you have access to the project, check the <codeclass="language-plaintext highlighter-rouge">BABS</code> section on the dataset-specific page to determine whether the dataset was processed with <ahref="/AI2D/docs/imaging/image_babs">BABS</a></strong> (Dataset-specific links listed <ahref="/AI2D/docs/datasets">here</a>).</span></p>
We recommend using a <strong>median Framewise Displacement (FD) threshold of <codeclass="language-plaintext highlighter-rouge">> 0.2</code> for run-level exclusion</strong>, as implemented in <ahref="https://doi.org/10.1101/2025.02.24.639850">the Reproducible Brain Chart study</a>. Check the <codeclass="language-plaintext highlighter-rouge">XCP-D</code> section on the dataset-specific page (dataset-specific links listed <ahref="/AI2D/docs/datasets">here</a>) for the path to our recommended <strong>XCP-D fMRI QC file</strong>.</p>
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We recommend using a <strong>median Framewise Displacement (FD) threshold of <codeclass="language-plaintext highlighter-rouge">> 0.2</code> for run-level exclusion</strong>, as implemented in <ahref="https://doi.org/10.1016/j.neuron.2025.08.026">the Reproducible Brain Chart study</a>. Check the <codeclass="language-plaintext highlighter-rouge">XCP-D</code> section on the dataset-specific page (dataset-specific links listed <ahref="/AI2D/docs/datasets">here</a>) for the path to our recommended <strong>XCP-D fMRI QC file</strong>.</p>
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<divclass="alert alert-warning" role="alert">
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<strong>⚠️ WARNING:</strong> Please note that our general recommendation is to use a run-level threshold of <strong>median FD > 0.2</strong>. However, depending on the characteristics of a given dataset, higher or lower thresholds may be more appropriate. To determine the most suitable threshold for a specific dataset (and assess the percentage of retained data), we encourage you to review the <strong>XCP-D fMRI QC file</strong> listed in the <code>XCP-D</code> section of the dataset-specific page. Dataset-specific links are listed <ahref="/AI2D/docs/datasets">here</a>.
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