Package: afni
Version: 0.20101018~dfsg.1-1~nd09.10+1
Architecture: amd64
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 28240
Depends: afni-common (= 0.20101018~dfsg.1-1~nd09.10+1), tcsh, gifsicle, libjpeg-progs, freeglut3, libc6 (>= 2.7), 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~nd09.10+1_amd64.deb
Size: 11217142
SHA256: d2ec5bd58589e8aa01e9ee8089339cbbb4dc95e12dcff4b84072329bf4e304ff
SHA1: 1703c1798418d787dd3089a7a9f850ce5ce0e25f
MD5sum: 2a7695324c4dbb00888ea48d41a0df25
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~nd09.10+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~nd09.10+1_all.deb
Size: 4188196
SHA256: f6154be24f1fb24dddb8150efcbf2e9ae3fcc532306e4bddc36f7c01d8248ff3
SHA1: 3b632d1b6f4e9169fc9c8acb6361a1e1ba14d5d7
MD5sum: 53fb4e08648f3c1a5a8dba9cc15089c1
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~nd09.10+1
Architecture: amd64
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 15004
Homepage: http://afni.nimh.nih.gov
Priority: extra
Section: contrib/science
Filename: pool/contrib/a/afni/afni-dev_0.20101018~dfsg.1-1~nd09.10+1_amd64.deb
Size: 3868986
SHA256: 9b792f94d35cbe13f236116f6a8153c1ea9293635add413acf38465c7930145d
SHA1: 8acce81ee3dc242a1df3470874229b3a58091d00
MD5sum: e77b8d163e21a67cb31ddfcef58a864b
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.