Package: afni Version: 16.2.07~dfsg.1-3~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 46328 Depends: neurodebian-popularity-contest, afni-common (= 16.2.07~dfsg.1-3~nd12.04+1), tcsh, gifsicle, libjpeg-progs, freeglut3, libc6 (>= 2.15), libexpat1 (>= 1.95.8), 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), libmotif4, libnetcdf6, libnifti2, libsm6, libvolpack1, libx11-6, libxext6, libxmu6, libxt6, xmhtml1, 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.1-3~nd12.04+1_amd64.deb Size: 18790128 SHA256: 22f1f03b772f76590d76be92838392b1e2d5ef61d2e8c5df1c62e2bed3b1d8bb SHA1: 8d4226b36b0fac4b0b25a270725b262b11405db0 MD5sum: 105479b04b990304a168f237d1db2518 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.1-3~nd12.04+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.1-3~nd12.04+1_all.deb Size: 10061428 SHA256: f4029cb0766618fe485afa9462fce4c3bbd36a2b095e64f3e37d910be953a3f2 SHA1: 1f9f47f799f82bbf009600229b33ad2c9e503608 MD5sum: 412f5a647a39fd63754e0c44575eabe4 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.1-3~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 32261 Depends: neurodebian-popularity-contest, afni (= 16.2.07~dfsg.1-3~nd12.04+1) Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/debug Filename: pool/contrib/a/afni/afni-dbg_16.2.07~dfsg.1-3~nd12.04+1_amd64.deb Size: 28328570 SHA256: af63d5d5a32c60b5254713448c7c1933cad4177d717913ce5374bddd3820fb57 SHA1: 3dea586212e142e194bbf244adec1fe99fc748b6 MD5sum: e14dbd7b0e7220aef97bf3ec4b1e7fff 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.1-3~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 22437 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.1-3~nd12.04+1_amd64.deb Size: 5859144 SHA256: 5adae3dfc1288b5b75ba504bc38c3ab9ce7729f782165352c413b37212f41696 SHA1: 0ce340c282a725ba580fd517b6a7b46b08631561 MD5sum: c13935fac4d7ea606dcf75e97d26825b 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 29 Depends: fsl-5.0-core (>= 5.0.7-1~nd12.04+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~nd12.04+1~), fsl-5.0-gpu (>= 5.0.7-1~nd12.04+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~nd12.04+1_all.deb Size: 4136 SHA256: e708415165aec89a46edf8a529c7e5b2b86c92ba0a6e361ee709c73721837f0c SHA1: 660b91b9bed5ca7f9e6280eb48e2ea5d7e8c4460 MD5sum: 83469ad3e9206b6cc37a264431a2f0b1 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~nd12.04+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~nd12.04+1_all.deb Size: 4088 SHA256: 9d8d122516f79fe4537ec069b54a78864fc3887245e1724f24593aa55d616665 SHA1: b54f4d62bd7e086f13d40ee27d16f3e2c1761818 MD5sum: 6025d7e86bbd3e8cba3be52db60d8b73 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 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_all.deb Size: 14149452 SHA256: 3505d709e5d8f7d7c98f5538fe0d093a3bbdbec8f496f17b78ae682d1a368d40 SHA1: 8c143e529f1d6ca3e7f7a7bdf98c1863b13b3bf1 MD5sum: ef4f8dc2ef1380002711b3ccffad2f69 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 125 Depends: neurodebian-popularity-contest, libgdf-dev (>= 0.1.2-2~nd12.04+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~nd12.04+1_all.deb Size: 23576 SHA256: 2d1239e36931f5331a42e1d4c9f89ebde08745ece0e3dff81e61a41ae2440a59 SHA1: 41f8c3cca2f2fe82a7c09e67b771d1e845f74d20 MD5sum: 6aea46eab0b1279df83085a07d2bfdf8 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1251 Depends: neurodebian-popularity-contest, matlab-support, spm8-common (= 8.5236~dfsg.1-1~nd12.04+1), make Provides: spm, spm8 Priority: extra Section: contrib/science Filename: pool/contrib/s/spm8/matlab-spm8_8.5236~dfsg.1-1~nd12.04+1_all.deb Size: 233504 SHA256: 4e1b16e9e288cd146a296a98d408a7c9da335ec162ce6a016dbdef3055715c50 SHA1: 16202235f3e69c581e0f08f63d1ada3ddab99a6f MD5sum: a8c9e897d1e4421c9b3392a4d573b00f 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~nd12.04+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~nd12.04+1_all.deb Size: 32502 SHA256: c7fe344a6149acc57f0ec53efd1da44cac1a74db40fffc691bff9e928502a4a7 SHA1: 381e441f5826bd71c7e49921e15bbbfdd87087d7 MD5sum: d321ca2570b908e0ae0f7fafa02a82b7 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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