Package: afni Version: 0.20101222~dfsg.1-2~nd50+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 24560 Depends: neurodebian-popularity-contest, afni-common (= 0.20101222~dfsg.1-2~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, python Suggests: r-base Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni_0.20101222~dfsg.1-2~nd50+1_i386.deb Size: 9382608 SHA256: c51efe2360b00ebe9a5e65aea7d3168f7bfa19b07d3e08433b1efc1e9b27affb SHA1: 3cd81700aa38dac3bee71409447281aa123e9451 MD5sum: 42f1a22ecdd6b1746162855622b14afe 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: 0.20101222~dfsg.1-2~nd50+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8572 Depends: neurodebian-popularity-contest, python, tcsh Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-common_0.20101222~dfsg.1-2~nd50+1_all.deb Size: 4625446 SHA256: b87b68dd973e8fcd3cd6ed0361d3dea8418646d98e385a8f59a8ce0874a656c7 SHA1: ac42c290d026ad68b6f8556efd13c0af813ad515 MD5sum: 9ec5b29140d8f6cca5f607f77706d452 Description: miscellaneous scripts and data files for AFNI This package provides the required architecture independent parts of AFNI. Package: afni-dev Source: afni Version: 0.20101222~dfsg.1-2~nd50+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 11144 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_0.20101222~dfsg.1-2~nd50+1_i386.deb Size: 3490518 SHA256: 8e2e95cab857e284f98b6dddbea41dcf8cb7a0c1bc0e805d531a2b27dadeeff0 SHA1: 65ea2ea9d160d4849f2430140b0f2ef759319236 MD5sum: d3a7a33aad9dbf0fdf813ae83e163cb2 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 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. Package: matlab-spm8 Source: spm8 Version: 8.4010~dfsg.1-4~nd50+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1428 Depends: neurodebian-popularity-contest, matlab-support, spm8-common (= 8.4010~dfsg.1-4~nd50+1), make Provides: spm, spm8 Priority: extra Section: contrib/science Filename: pool/contrib/s/spm8/matlab-spm8_8.4010~dfsg.1-4~nd50+1_all.deb Size: 229270 SHA256: 75ddb0ec5026f60c30ce3aaaf7fe168ba48fc81ac0fa47e10fe95cbe4560db64 SHA1: 8ca34c237abd61239138115635a6c051d7ffcc75 MD5sum: 23bfc4cc3afe84962659b7aaab5e28c0 Description: analysis of brain imaging data sequences for Matlab Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provides SPM to be used with Matlab. Note that this package depends on Matlab -- a commercial software that needs to be obtain and installed separately. Package: matlab-support Version: 0.0.14~nd50+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 140 Depends: neurodebian-popularity-contest, debconf (>= 1.3.22) | cdebconf (>= 0.43), debconf (>= 0.5) | debconf-2.0, libxp6, sudo Recommends: libstdc++6-4.4-dev | libstdc++-dev Conflicts: matlab (<= 0.0.14~) Replaces: matlab (<= 0.0.14~) Priority: optional Section: contrib/devel Filename: pool/contrib/m/matlab-support/matlab-support_0.0.14~nd50+1_all.deb Size: 15750 SHA256: adf84e473940daede0780892cddf0f28b95b3e1e28a1adf13bc8f1d85c77572c SHA1: 538781f18f0b802a2925bb4f00dd86a2be81e353 MD5sum: b97913aa2f16533abd3d9fede081b038 Description: integrate local Matlab installations into the Debian system This package does NOT provide Matlab (TM). It merely helps sysadmins integrate local installations in the Debian system to handle this proprietary software in a more coherent way. Moreover, this package can be used as a runtime dependency for packages that install Matlab code and, for example, need to compile MEX extensions. . One or more Matlab installations can be registered with Debian's alternatives system, and a helper utility to build MEX extensions is provided. All configuration is conveniently done via debconf.