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</p><p>
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All of the notebooks used in this tutorial can be found on <a href="https://github.com/djarecka/nipype_tutorial">github.com/djarecka/nipype_tutorial</a>.
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For the tutorial, we will use a Docker container. You need to install a <a href="http://www.docker.com/">Docker</a> and download a docker image that provides you a
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neuroimaging environment based on a Debian system, with working Python 3 software (including Nipype, dipy, matplotlib,
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nibabel, nipy, numpy, pandas, scipy, seaborn and more), FSL, AFNI, ANTs and SPM12 (no license needed).
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TODO
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neuroimaging environment based on a Debian system, with working Python 3 software (including Nipype, matplotlib,
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nibabel, numpy, pandas, scipy, and more), FSL, AFNI, ANTs and SPM12 (no license needed).
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</p><p>
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For everything that isn't covered in this tutorial, check out the <a href="http://nipype.readthedocs.io/en/latest/">main homepage</a>.
<h1id="Dataset-structure">Dataset structure<aclass="anchor-link" href="#Dataset-structure">¶</a></h1><p>To be able to import data, you first need to be aware about the structure of your dataset. The structure of the dataset for this tutorial is according to BIDS, and looks as follows:</p>
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