Package: afni Version: 0.20101222~dfsg.1-1~nd50+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 24560 Depends: neurodebian-popularity-contest, afni-common (= 0.20101222~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_0.20101222~dfsg.1-1~nd50+1_i386.deb Size: 9382432 SHA256: a224395e087412641d84d452153457315a3cb931de5140f3db080ddcc4f81398 SHA1: 4d0f44716df5ba49dec8037c045f353541021f35 MD5sum: 2c06e451dfa4da7f1b527518d69e42d1 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.1-1~nd50+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7164 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.1-1~nd50+1_all.deb Size: 4366400 SHA256: 0aed4543ffe333b10ce3add3d038bf4b9983045c417453fbceb457580790acb4 SHA1: c2c9de531a03a4ee07c2d00d704fddfd55d42ea0 MD5sum: 8f7bbad79ce4fa23740dd5bad1df7056 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.1-1~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.1-1~nd50+1_i386.deb Size: 3490498 SHA256: 66eec0e3ca3e79c7f8a79091e57e80fdc59eb9569a58fc17c4574ee8331374c0 SHA1: c988b0ec04e4221653b52017f9cfae95c1162b3f MD5sum: f38cd8fab9941093a439259e52606f4c 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 Version: 0.0.12~nd50+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 132 Depends: neurodebian-popularity-contest, debconf (>= 1.3.22) | cdebconf (>= 0.43), debconf (>= 0.5) | debconf-2.0, libxp6 Recommends: libstdc++6-4.4-dev | libstdc++-dev Priority: optional Section: contrib/devel Filename: pool/contrib/m/matlab/matlab_0.0.12~nd50+1_all.deb Size: 11684 SHA256: 8eda0f7a894a9891bc9afd1a4d0700a92d54db009ffa88d95e6a9820a111c603 SHA1: 7dbfd40e5eed63285ed0e7a10fa0111d01b3d50c MD5sum: f02b63bc9ce266ffcb311e259df8129f 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. Package: matlab-spm8 Source: spm8 Version: 8.4010~dfsg.1-3 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1428 Depends: matlab, spm8-common (= 8.4010~dfsg.1-3), make Provides: spm, spm8 Priority: extra Section: contrib/science Filename: pool/contrib/s/spm8/matlab-spm8_8.4010~dfsg.1-3_all.deb Size: 228886 SHA256: 13c67ded08f7534ebd1a01ffc7fa7a1a42e1a5c186d01b453237d1612b7adc3e SHA1: 63ad3ca94045a5d9184042dd7d66c8e1f3afdce4 MD5sum: 452f212f8f129a6feadbe8c9473ac1d2 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.