Package: afni Version: 16.2.07~dfsg.1-2~nd80+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 46172 Depends: neurodebian-popularity-contest, afni-common (= 16.2.07~dfsg.1-2~nd80+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~nd80+1_amd64.deb Size: 12810484 SHA256: 5117ccb619ec7ed6e0504bca77ccb679b715b3aa58166eb624c54b59de276eb8 SHA1: d8e53e51814120c3f9660a32658c8f899c2d3e5c MD5sum: a58e87c3cf31dd698e40c28925e2b0f9 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~nd80+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~nd80+1_all.deb Size: 9364066 SHA256: 1672b63d49f8ca469cf1acb9a9bcd8e644336d2c23b92c078af4c0c9d57870d0 SHA1: 9935329557a490cb0f90eda9071a8368d95a7c95 MD5sum: 187d6d6a81bf9a0011d989799ea19c92 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~nd80+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 35845 Depends: neurodebian-popularity-contest, afni (= 16.2.07~dfsg.1-2~nd80+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~nd80+1_amd64.deb Size: 31236114 SHA256: 6a2944f2a9de03080b7b66319d1e9b46035afaee8337f21fbddc4230616e4be5 SHA1: 2876f6171ade1752445ff77d261a57b033703aea MD5sum: 5dada6b5f869acf7ba0f20db2bfb7d70 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~nd80+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 24163 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~nd80+1_amd64.deb Size: 4209048 SHA256: 3fd0b8f2e2944d386f8d8ca2b1eb38e16466652195e62a17fa41c7a4494d8d9e SHA1: 70afda822dba87b8bf5555b46e1f6ffe6fbb3519 MD5sum: 64cd02edd0ecec16e86ca006451e9994 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~nd80+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 29 Depends: fsl-5.0-core (>= 5.0.7-1~nd80+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~nd80+1~), fsl-5.0-gpu (>= 5.0.7-1~nd80+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~nd80+1_all.deb Size: 4014 SHA256: b8a419dcaf1cc50c139fb11b13d29e9b116f2f1e6f820c9605c14898c599817f SHA1: b5d8ebdd5f750c65c236c14450474993b08b8c3a MD5sum: 826983535d3174e942f38ae34e1e152c 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~nd80+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 29 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~nd80+1_all.deb Size: 3958 SHA256: 2dfddeaecb3d5f36fcf59e9dd9795b47effb082cf72e6b41f361377b437ce35c SHA1: 94206239104554c1c5a49f356899366a77788dfb MD5sum: 87f7cd9f8bdde6d7dc2caab904090832 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~nd70+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~nd70+1_all.deb Size: 14149362 SHA256: 1012570170f320fd554e68863fa71b88220c32cd9fb0e8ecd5d834b2e680d13a SHA1: 253f0c3089688b83caeb891e8dd7283890615b41 MD5sum: 48855e006e5b9a5c5eb94804dac64bd2 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-gdf Source: libgdf Version: 0.1.2-2~nd70+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 125 Depends: neurodebian-popularity-contest, libgdf-dev (>= 0.1.2-2~nd70+1), matlab-support Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: contrib/science Filename: pool/contrib/libg/libgdf/matlab-gdf_0.1.2-2~nd70+1_all.deb Size: 23796 SHA256: 61bbce20ad849c5a7a40068862b5a5d78249c29d93821f883b1b6233f0288db9 SHA1: dca0c381b7bcf97b5b43f30f1830a49dae1e57b2 MD5sum: 0c890224622e0cd2da22c8cb819828ed Description: IO library for the GDF -- Matlab interface GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package builds Matlab bindings for GDF at installation time. Note that this package depends on Matlab -- a commercial software that needs to be obtain and installed separately. Package: matlab-spm8 Source: spm8 Version: 8.5236~dfsg.1-1~nd70+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1251 Depends: neurodebian-popularity-contest, matlab-support, spm8-common (= 8.5236~dfsg.1-1~nd70+1), make Provides: spm, spm8 Priority: extra Section: contrib/science Filename: pool/contrib/s/spm8/matlab-spm8_8.5236~dfsg.1-1~nd70+1_all.deb Size: 233036 SHA256: 665bd05106aca755afa05b8d4f3b6808a53db93eaf2024b9ee5f5ede6f47dde4 SHA1: f2211e27ff5ea8a32d8ee5f8f68db1f36990de39 MD5sum: cce5e9b97d36d5cf112826b7f8bdaa60 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~nd80+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~nd80+1_all.deb Size: 33786 SHA256: 7c26e3c5c580e28f3e525e3a5a0897b75721efea001cead235d16d8b3ce88ad9 SHA1: 953bfe11c14f3f7dfe916cada0507a41a71161ba MD5sum: 6cea0b639af15a0545434844dde18304 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: 4.5.2-1~ndall+0 Architecture: amd64 Maintainer: Yaroslav Halchenko Installed-Size: 226097 Depends: libc6 (>= 2.4), libc6-i386 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), 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_4.5.2-1~ndall+0_amd64.deb Size: 106657360 SHA256: 29d481c202db0834a7ad2f23ad5e183ffef9e0c500229e35a55b952e86440a99 SHA1: f55a0ce48b67c80665b5070ef9e45d23229a6a1b MD5sum: 3027325a24fb622ba3f31bf0fa6333eb 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.