Package: afni Version: 0.20101222~dfsg.1-2~nd50+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 26728 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_amd64.deb Size: 10832440 SHA256: 3eb379b5c56dbc52778771abd5cdb2e42b420886b7d921ca135416d20868cca0 SHA1: 930a5108cecf1dbeb84d8f4d181bdb9146af7143 MD5sum: d6cf4d67b9c3e0eb244a2cf3b0bbeacd 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 15176 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_amd64.deb Size: 3888446 SHA256: b566df54276f4eee9d21ffb64812affffddcaa5b9e50743a9cc4934538b2bf7a SHA1: 730586dee1752760ed53e437c7f6cefdeb79c75d MD5sum: 6dd04b7360af1b32e24ea632a500695c 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: 8.4290~dfsg.1-1~nd50+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1356 Depends: neurodebian-popularity-contest, matlab-support, spm8-common (= 8.4290~dfsg.1-1~nd50+1), make Provides: spm, spm8 Priority: extra Section: contrib/science Filename: pool/contrib/s/spm8/matlab-spm8_8.4290~dfsg.1-1~nd50+1_all.deb Size: 233364 SHA256: 798e8d21bfedaa231727a3f4748b634ebe127b01939bcba2a604a31d4e7c3102 SHA1: 0d96f31ab0036a03ae71c3389cf34578c5132177 MD5sum: f036e9bde8d2e581eaf012b1a70931c8 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.