Package: afni Version: 0.20110610~dfsg.1-1~nd09.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 28152 Depends: neurodebian-popularity-contest, afni-common (= 0.20110610~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, python Suggests: r-base Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni_0.20110610~dfsg.1-1~nd09.10+1_amd64.deb Size: 11242790 SHA256: 390092559744f22055137ab7b830914a59d21fbdb0397532bae34b1916d4e58e SHA1: 9717bf71a88481457b50df168b37fcb5dc3ce833 MD5sum: 8f332feb9062324bca4c9cdc4f62681e 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: 0.20110610~dfsg.1-1~nd09.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8736 Depends: neurodebian-popularity-contest, python, tcsh Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-common_0.20110610~dfsg.1-1~nd09.10+1_all.deb Size: 4784248 SHA256: 1d2ec52b5098ca114110b564d09e0e2564b6390afa8dd40ac97231fd3863507c SHA1: 619c7c504c188b2e0996ba34b9c6bee3948f5795 MD5sum: 8ea385c7e175e9b2dfdb2a0d6ffc8049 Description: miscellaneous scripts and data files for AFNI This package provides the required architecture independent parts of AFNI. Package: afni-dev Source: afni Version: 0.20110610~dfsg.1-1~nd09.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 15540 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_0.20110610~dfsg.1-1~nd09.10+1_amd64.deb Size: 4032550 SHA256: 6fb1fbb1cd0070ba847d3196f0e9e53af8a03e7fc3eb892a30e4094ad241da04 SHA1: 2cfdc82d06d5ca7868b89d32f9845fb812212d46 MD5sum: 8c21b7b62a5a7a57c3417fcebbf7138e 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~nd09.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1356 Depends: neurodebian-popularity-contest, matlab-support, spm8-common (= 8.4290~dfsg.1-1~nd09.10+1), make Provides: spm, spm8 Priority: extra Section: contrib/science Filename: pool/contrib/s/spm8/matlab-spm8_8.4290~dfsg.1-1~nd09.10+1_all.deb Size: 233382 SHA256: 0c75c4d260386f66b9ca30afd8812a8caea1cee16d25813a789c597e1f9fb737 SHA1: 5a7b79cd535f5cd768549f55946d858551b9b719 MD5sum: 43c86f03909ce763cb4bc69707c1f828 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.