Package: afni Version: 0.20110610~dfsg.1-1~nd50+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 24840 Depends: neurodebian-popularity-contest, afni-common (= 0.20110610~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, 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~nd50+1_i386.deb Size: 9597706 SHA256: 5db822a57bf446b403811867a6b3320d8580cb783f7423d01d73e1bd68c6d5ee SHA1: 0b8c99ccc53192c90498f7d300eb855be628214d MD5sum: 331b10368d942e82b823855b1f0657e5 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~nd50+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~nd50+1_all.deb Size: 4784236 SHA256: 42d531c90b56b7195ca424de0bf664e7f1b03a9083b3c772c57377a383d6c6fd SHA1: 720638dc0a37fc2539e919f66b3e4fb8388ef41a MD5sum: 808546ca4ce8e0d610560e892085dc4e 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~nd50+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 11368 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~nd50+1_i386.deb Size: 3598526 SHA256: 1276fcb2e6c7a985fe98054ffca864340c4d6d104522da33c343c3e68bbd9df7 SHA1: c72ac12099595d27f7bf676d073f257fa07619e0 MD5sum: 2994a5092f39920c041a43df7ee3fddd 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.