Package: afni
Version: 0.20101018~dfsg.1-1~nd50+1
Architecture: amd64
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 27284
Depends: afni-common (= 0.20101018~dfsg.1-1~nd50+1), tcsh, gifsicle, libjpeg-progs, freeglut3, libc6 (>= 2.7-1), libf2c2, libgiftiio0, libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libglw1-mesa | libglw1, libgomp1 (>= 4.2.1), libgsl0ldbl (>= 1.9), libgts-0.7-5 (>= 0.7.6), libice6 (>= 1:1.0.0), libmotif3, libnetcdf4, libnifti1 (>> 1.1.0-2), libsm6, libvolpack1, libx11-6, libxext6, libxi6, libxmu6, libxt6
Recommends: nifti-bin, bzip2, ffmpeg, netpbm
Homepage: http://afni.nimh.nih.gov
Priority: extra
Section: contrib/science
Filename: pool/contrib/a/afni/afni_0.20101018~dfsg.1-1~nd50+1_amd64.deb
Size: 11118518
SHA256: c8ec4582cb910bbc8680eb29a340f19a2cf957ddce1795711b3a56c100fa3447
SHA1: 35b6d277aec63e0328ce75e1cef959121e82436d
MD5sum: 216ec6be74590584486acd770b69683f
Description: toolkit for analyzing and visualizing functional MRI data
 AFNI is an environment for processing and displaying functional MRI data.
 It provides a complete analysis toolchain, including 3D cortical surface
 models, and mapping of volumetric data (SUMA).
 .
 In addition to its own format AFNI understands the NIfTI format and is
 therefore easily usable in combination with FSL and Freesurfer.

Package: afni-common
Source: afni
Version: 0.20101018~dfsg.1-1~nd50+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 6892
Depends: python, tcsh
Homepage: http://afni.nimh.nih.gov
Priority: extra
Section: contrib/science
Filename: pool/contrib/a/afni/afni-common_0.20101018~dfsg.1-1~nd50+1_all.deb
Size: 4188226
SHA256: 5c8b1353b154805f232faf16513390487484c09e442cd895abbb33cfc2944c2f
SHA1: b441b530930bb481c7a1c1a39ef53c28570d6b35
MD5sum: be077a9f2e97f596085969b282c9460a
Description: miscellaneous scripts and data files for AFNI
 This package provides the required architecture independent parts of AFNI.

Package: afni-dev
Source: afni
Version: 0.20101018~dfsg.1-1~nd50+1
Architecture: amd64
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 14996
Homepage: http://afni.nimh.nih.gov
Priority: extra
Section: contrib/science
Filename: pool/contrib/a/afni/afni-dev_0.20101018~dfsg.1-1~nd50+1_amd64.deb
Size: 3844492
SHA256: 500b5b327e34d13cc0b8efe6ac3d91ce18d1b6ebf4b53ddd4654d3b31eebcd14
SHA1: eb6f1b57ba67b700df344d362c79b59c30477a61
MD5sum: 30d51932c202dae6e8fe3a3b350e3e4f
Description: header and static libraries for AFNI plugin development
 AFNI is an environment for processing and displaying functional MRI data.
 It provides a complete analysis toolchain, including 3D cortical surface
 models, and mapping of volumetric data (SUMA).
 .
 This package provides the necessary libraries and header files for AFNI
 plugin development.

Package: jist
Version: 2.0.20100907-1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 43632
Depends: mipav, openjdk-6-jre | java6-runtime
Homepage: http://www.nitrc.org/projects/jist/
Priority: extra
Section: contrib/science
Filename: pool/contrib/j/jist/jist_2.0.20100907-1_all.deb
Size: 9644918
SHA256: 0376b7ceaec9113e993afb0b1ac8ca28582d9194e66e688c5e6fdd292b7b3f76
SHA1: 6179b926b8813118063c3324670f84bd8afbee37
MD5sum: 6bfaf3e7f542a60c863c91eb200980ac
Description: Java Image Science Toolkit
 Java Image Science Toolkit (JIST) provides a native Java-based
 imaging processing environment similar to the ITK/VTK
 paradigm. Initially developed as an extension to MIPAV (CIT, NIH,
 Bethesda, MD), the JIST processing infrastructure provides automated
 GUI generation for application plug-ins, graphical layout tools, and
 command line interfaces.
 .
 This is a version of JIST package which does not aim to be
 DFSG-compliant and is provided solely for the purpose of installation
 on elderly systems (e.g. lenny) heavily lacking necessary dependencies.