{ "info": { "author": "Christian Haselgrove", "author_email": "christian.haselgrove@umassmed.edu", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Environment :: Console", "Intended Audience :: Science/Research", "License :: OSI Approved :: BSD License", "Operating System :: OS Independent", "Programming Language :: Python", "Topic :: Scientific/Engineering" ], "description": ".. See file COPYING distributed with ndar_unpack for copyright and license.\n\nndar_unpack will download and unpack imaging data from NDAR.\n\nExamples:\n\n::\n\n ndar_unpack -t thumbnail.png NDAR_INVOX992PCX_image03_1350375953058.zip\n\n ndar_unpack --aws-access-key-id $access_key \\\n --aws-secret-access-key $secret_key \\\n -v volume.nii.gz \\\n s3://NDAR_Central/NDAR_INVCH423DPL_image03_1357865972017.zip\n\nFor more information, run ``ndar_unpack -h``.\n\nDependencies\n============\n\nndar_unpack needs the following to run:\n\n* boto_\n* pydicom_\n\nTo actually do anything useful, ndar_unpack will also need:\n\n* FreeSurfer_ for most operations\n* FSL_ for thumbnail generation\n* nifti_tool from niftilib_ for NIfTI header dumping\n* nibabel_ with Minc2Image for MINC2 support\n* SimpleITK_ for NRRD support\n\nRun ``ndar_unpack -S`` to run a self-check and report what components are \nfound and what components are missing.\n\n.. _boto: https://github.com/boto/boto/\n.. _pydicom: https://code.google.com/p/pydicom/\n.. _FreeSurfer: http://surfer.nmr.mgh.harvard.edu/\n.. _FSL: http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/\n.. _niftilib: http://niftilib.sourceforge.net/\n.. _nibabel: http://nipy.org/nibabel\n.. _SimpleITK: http://www.simpleitk.org/\n\nNDAR\n====\n\nNDAR is the `National Database For Autism Research`_. 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