Package: afni Version: 0.20101222~dfsg.1-2~nd09.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 27668 Depends: neurodebian-popularity-contest, afni-common (= 0.20101222~dfsg.1-2~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, 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~nd09.10+1_amd64.deb Size: 10928270 SHA256: 61527c3d736f82e43885e7e2d629916e2a82816313bf2609789ad725099a516b SHA1: 8b63ee805a479ff87f9f69ec434ff86d3ab0627c MD5sum: 233a516a6571a908616b2e50fb7821e4 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~nd09.10+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~nd09.10+1_all.deb Size: 4625486 SHA256: e7f9f7d454e55a757fea54e695baf739bff534fe7e5be3ed2de3eb72276e8a77 SHA1: 8e51def5e9c522f43b0a96b33e751e36f894f7d8 MD5sum: 74fc9989bc7654b7cd461cb9d125fdfe 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~nd09.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 15184 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~nd09.10+1_amd64.deb Size: 3910324 SHA256: ebd679d2c5156f2e9aec5b57b81d1ce751f9e8e36b7754c60ad5e5c4dff76ebb SHA1: ec227b5e9201d3a57fc5cd031196fb4e0ef58fb9 MD5sum: 6a4647ed9ccf77810a62df256d73d0d1 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~nd09.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1428 Depends: neurodebian-popularity-contest, matlab-support, spm8-common (= 8.4010~dfsg.1-4~nd09.10+1), make Provides: spm, spm8 Priority: extra Section: contrib/science Filename: pool/contrib/s/spm8/matlab-spm8_8.4010~dfsg.1-4~nd09.10+1_all.deb Size: 229262 SHA256: 3eead1e080636a84bb00778975f4f6f1fd59a9dd8d1290b63686ea582f33fd8b SHA1: 7ce37a8dfe5839cdd6fbb3babb98078710bb3505 MD5sum: b0638e8cf3bd2502f3bbd15f7a861e06 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~nd09.10+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~nd09.10+1_all.deb Size: 15752 SHA256: 981362b3be55aab1ec8d73f417ed2f8ed911a3c3490f5b2d66904337dc00ea48 SHA1: 8bf4f1a41ea1ac3fdf392e6c80caa6a1d4b8b410 MD5sum: adacbbe96d4e8c3a6af44adedd008ed0 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.