Package: afni Version: 16.2.07~dfsg.1-2~nd15.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 45944 Depends: neurodebian-popularity-contest, afni-common (= 16.2.07~dfsg.1-2~nd15.04+1), tcsh, gifsicle, libjpeg-progs, freeglut3, libc6 (>= 2.15), libexpat1 (>= 2.0.1), libf2c2, libgiftiio0, libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libglw1-mesa | libglw1, libgomp1 (>= 4.9), libgsl0ldbl (>= 1.9), libgts-0.7-5 (>= 0.7.6), libice6 (>= 1:1.0.0), libnetcdfc7, libnifti2, libsm6, libvolpack1 (>= 1.0b3), libx11-6, libxext6, libxm4 (>= 2.3.4), libxmhtml1.1 (>= 1.1.9), libxmu6, libxt6, zlib1g (>= 1:1.1.4) Recommends: nifti-bin, bzip2, ffmpeg, netpbm, qhull-bin Suggests: r-base Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni_16.2.07~dfsg.1-2~nd15.04+1_amd64.deb Size: 12790804 SHA256: 5019717e8d5012ef7e16bac6762ec80f3b0c2fc6f521b1e80f1a8ab29ff78fb6 SHA1: e55274922a3ad47f9de4055133c50ece6498f38a MD5sum: 9b6f8d839c1ff64c8031a4e5e4e6cc81 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 integrates easily with FSL and FreeSurfer. Package: afni-common Source: afni Version: 16.2.07~dfsg.1-2~nd15.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14483 Depends: neurodebian-popularity-contest, python, tcsh Recommends: python-mdp, python-nibabel, afni-atlases Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-common_16.2.07~dfsg.1-2~nd15.04+1_all.deb Size: 9364066 SHA256: d1d3adb5ac0d1e64420b0af0b39c51f739d036e53498958ca3bdfa36ecd9f3c4 SHA1: 7095f3a9dddc72ba43e862a979c7bf53f69e3aed MD5sum: 858963b789a093f93f4527f609d03c07 Description: miscellaneous scripts and data files for AFNI 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 required architecture independent parts of AFNI. Package: afni-dbg Source: afni Version: 16.2.07~dfsg.1-2~nd15.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 35813 Depends: neurodebian-popularity-contest, afni (= 16.2.07~dfsg.1-2~nd15.04+1) Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/debug Filename: pool/contrib/a/afni/afni-dbg_16.2.07~dfsg.1-2~nd15.04+1_amd64.deb Size: 31280878 SHA256: 4f36f9805512e1e3167fbb34a32c0584e6cb57e4dd0c1cb035406e3fe784ce2c SHA1: af9e3a644e5b419273a7f1d2cbb263cd60eb5f04 MD5sum: 20b1931ff110c5c43d44a9722424b397 Description: debug symbols for AFNI 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 debug symbols which could be useful to troubleshoot and report problems with AFNI. Package: afni-dev Source: afni Version: 16.2.07~dfsg.1-2~nd15.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 24166 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_16.2.07~dfsg.1-2~nd15.04+1_amd64.deb Size: 4195276 SHA256: 5915df8160abc8c9447a10657046dc5748364f71f5c6770471e88b2c06b0e2bc SHA1: bbe054ce4da08aaaae0f9fd49e650e158ac1d619 MD5sum: 6ad3478e04347caa86f40d7326744d12 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: fsl-5.0-complete Source: fslmeta Version: 5.0.7-1~nd14.04+1+nd14.10+1+nd15.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 6 Depends: fsl-5.0-core (>= 5.0.7-1~nd14.04+1+nd14.10+1+nd15.04+1~), fsl-atlases (>= 5.0~), fslview, fsl-possum-data (>= 5.0~), fsl-first-data (>= 5.0~) Recommends: fsl-5.0-wiki (>= 5.0.7-1~nd14.04+1+nd14.10+1+nd15.04+1~), fsl-5.0-gpu (>= 5.0.7-1~nd14.04+1+nd14.10+1+nd15.04+1~) Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: contrib/science Filename: pool/contrib/f/fslmeta/fsl-5.0-complete_5.0.7-1~nd14.04+1+nd14.10+1+nd15.04+1_all.deb Size: 4136 SHA256: d9039b231d2dd28d16b77f8460b0e9bc55b07bba49e08c477b0783cc214ccca9 SHA1: e174bffffc3e631adafe4948511ab8d11e217f69 MD5sum: 48db39781b68f88bd22ac4611a8747a0 Description: metapackage for the entire FSL suite (tools and data) FSL is a comprehensive library of image analysis and statistical tools for fMRI, MRI and DTI brain imaging data. The suite consists of various command line tools, as well as simple GUIs for its core analysis pipelines. Among others, FSL offers implementations of standard GLM analysis, white matter tractography, tissue segmentation, affine and non-linear co-registration, and independent component analysis. . Installing this meta package yields a complete FSL 5.0 installation, including all tools and data packages. Package: fsl-complete Source: fslmeta Version: 5.0.7-1~nd14.04+1+nd14.10+1+nd15.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 6 Depends: fsl-5.0-complete, fsl-core Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: contrib/science Filename: pool/contrib/f/fslmeta/fsl-complete_5.0.7-1~nd14.04+1+nd14.10+1+nd15.04+1_all.deb Size: 4082 SHA256: 5ee1c347b7a4da0932fe98780fe82b74a10fd2274483bfca393f659d3cd06f60 SHA1: d4f2037f4d04bed63aeb09b0091f7f1a01df7dbe MD5sum: db1b9e0a822933e29edc2c794f0f2469 Description: metapackage for the entire FSL suite (tools and data) FSL is a comprehensive library of image analysis and statistical tools for fMRI, MRI and DTI brain imaging data. The suite consists of various command line tools, as well as simple GUIs for its core analysis pipelines. Among others, FSL offers implementations of standard GLM analysis, white matter tractography, tissue segmentation, affine and non-linear co-registration, and independent component analysis. . Installing this meta package yields a complete installation of the latest FSL version, including all tools and data packages. Package: matlab-eeglab11 Source: eeglab11 Version: 11.0.0.0~b~dfsg.1-1~nd11.10+1+nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1+nd15.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 40738 Depends: neurodebian-popularity-contest, matlab-support Recommends: eeglab11-sampledata Priority: extra Section: contrib/science Filename: pool/contrib/e/eeglab11/matlab-eeglab11_11.0.0.0~b~dfsg.1-1~nd11.10+1+nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1+nd15.04+1_all.deb Size: 11048934 SHA256: 782c385bf7cdb46dcbb49e87e26a7af55428b6d6e4b57e8fccf5e3f6afcdeefd SHA1: 4e271a68d59890286fd0b019c75a772140f351b3 MD5sum: 2435dcadf3644ebbcb80055391de6866 Description: electrophysiological data analysis This is sofwware for processing continuous or event-related EEG or other physiological data. It is designed for use by both novice and expert users. In normal use, the EEGLAB graphic interface calls graphic functions via pop-up function windows. The EEGLAB history mechanism can save the resulting calls to disk for later incorporation into scripts. . This package provides EEGLAB to be used with Matlab. Note that this package depends on Matlab -- a commercial software that needs to be obtained and installed separately. Package: matlab-spm8 Source: spm8 Version: 8.5236~dfsg.1-1~nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1+nd15.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1164 Depends: neurodebian-popularity-contest, matlab-support, spm8-common (= 8.5236~dfsg.1-1~nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1+nd15.04+1), make Provides: spm, spm8 Priority: extra Section: contrib/science Filename: pool/contrib/s/spm8/matlab-spm8_8.5236~dfsg.1-1~nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1+nd15.04+1_all.deb Size: 172498 SHA256: 279d9765342cc4aa7099558b0b424747cfed47d3bb0ee78f2cbbfdcd09d6850b SHA1: 2d8dc259a33e40fe2a8ca8e43c6c72bbf6cdb09d MD5sum: 360f14b287acbf26a69332c1fdfc1998 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 obtained and installed separately. Package: matlab-support Version: 0.0.21~nd15.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 170 Depends: neurodebian-popularity-contest, debconf (>= 1.3.22) | cdebconf (>= 0.43), debconf (>= 0.5) | debconf-2.0, sudo Recommends: libstdc++6-4.4-dev | libstdc++-dev Suggests: lsb-core Conflicts: matlab (<= 0.0.14~) Replaces: matlab (<= 0.0.14~) Priority: optional Section: contrib/devel Filename: pool/contrib/m/matlab-support/matlab-support_0.0.21~nd15.04+1_all.deb Size: 33804 SHA256: fc807627cdf50107bbc40bcab7b0d6d8bef9e6178223dd09710fbc0a9c7b024b SHA1: 83e4a41c539427405f4f3cf3899397c8e0b04b8e MD5sum: 2807878bb53ec421e7531c1cccfe5cc0 Description: distro integration for local MATLAB installations This package does not provide MATLAB. Instead, it configures an existing MATLAB installation to integrate more comfortably in a Debian installation. . Currently it provides /usr/bin/matlab through the alternatives system, offers to work around incompatibilities between the libraries bundled with MATLAB and system libraries, and provides a helper utility meant to be used by other packages to compile MEX extensions. . Install this if you would like your MATLAB installation to behave more like an ordinary Debian package. Other packages may depend on this one if they install MATLAB code, for example in order to compile MEX extensions. Package: pycharm-community-sloppy Version: 2017.1-1~ndall Architecture: amd64 Maintainer: Yaroslav Halchenko Installed-Size: 435076 Depends: python, openjdk-7-jre | java7-runtime Recommends: ipython Suggests: pep8, flake8, python-nose Provides: pycharm-community Homepage: https://www.jetbrains.com/pycharm Priority: optional Section: contrib/python Filename: pool/contrib/p/pycharm-community-sloppy/pycharm-community-sloppy_2017.1-1~ndall_amd64.deb Size: 152255442 SHA256: b37066130d3d3e2572ddde785c8be2b94a9a908b2ce60b4c65239f228128ab09 SHA1: 20fd6f5fbcac61364f3e287b447aa53425b2207a MD5sum: ed170dcfad44ab6cf0ad83a879a59162 Description: PyCharm IDE (sloppy packaging) PyCharm provides a heavily featured IDE for developing in Python. It features: syntax highlighting, formatter, code navigation and refactoring, built-in debugger, and more. . This package provides a mere container and installer for distributed upstream tarballs. It by no means qualifies as "proper" Debian package and there is no support for it provided by Debian project. Use at your own risk. 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