Package: afni Version: 16.2.07~dfsg.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 46083 Depends: neurodebian-popularity-contest, afni-common (= 16.2.07~dfsg.1-1~nd90+1), tcsh, gifsicle, libjpeg-progs, freeglut3, libc6 (>= 2.23), 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), libgsl2, libgts-0.7-5 (>= 0.7.6), libice6 (>= 1:1.0.0), libnetcdf11 (>= 3.6.1), 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.1-1~nd90+1_amd64.deb Size: 12592268 SHA256: e3024b8fd67c7dd90358431d69f4892dd877dbf443c562e6efdb7bb88e338b9c SHA1: 6dbf5f914b4ae40a7de8ed422c482789002e60ae MD5sum: 20eab3961dfde895595ad8549f13f918 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.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 14851 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.1-1~nd90+1_all.deb Size: 9334434 SHA256: ad5d8e2281385839bcb2c1e56955466377a3d312c44db7c3648b7441a1409e55 SHA1: a7b10bb7ad1bb255a4a7e906eec596c1bbd0b285 MD5sum: 4627bd8c597bb3b0e2b418ceeaa8ba3b 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.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 42923 Depends: neurodebian-popularity-contest, afni (= 16.2.07~dfsg.1-1~nd90+1) Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/debug Filename: pool/contrib/a/afni/afni-dbg_16.2.07~dfsg.1-1~nd90+1_amd64.deb Size: 38892392 SHA256: c618112e90e9c1259ca8fb11ec5f27661d0a1414ec1d4439bf72e93bd651ed5e SHA1: 391867aef7bb0f03e3bf2a0f48e104e7eb5356cc MD5sum: 7cd1f53c4ea01c52a5dc02ff68298e79 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. 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fee8badc211fc1f1c9eb0bb555ccfd386ca5d8fc fef6f191a20bd2ab68af18e67a997eec0d4e1355 ff98b7fd6e0b5a6b36757ab97c52456f18e4c92b Package: afni-dev Source: afni Version: 16.2.07~dfsg.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 23906 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.1-1~nd90+1_amd64.deb Size: 4167560 SHA256: 8648a308c6b82c13565b7b93d854ef5b4152ac34cf346964cdff4acdc4d969c9 SHA1: b9fd7336067e5a295536d8f7e328f978bbbe6bb6 MD5sum: 129667b4d9cd2434dccb03db5513245a 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+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 12 Depends: fsl-5.0-core (>= 5.0.7-1~nd80+1+nd90+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+nd90+1~), fsl-5.0-gpu (>= 5.0.7-1~nd80+1+nd90+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+nd90+1_all.deb Size: 4018 SHA256: 5e70ddb9c02dd13dd87ea3aa9125b899579ecb499b2f907c984a4e380785d720 SHA1: 0968ea4d96583017d1bb4432bcb0460c04bf14c6 MD5sum: e39c598b557e176cdb728d9f2a5db1ee 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+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 12 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+nd90+1_all.deb Size: 3966 SHA256: db23a7a91a8398ce58c585f3e1dde81cfc7bb607154014a38d1dcc430192ca46 SHA1: c77ddebeb42b4a5bc12322cc620688627bb2dd77 MD5sum: b00e09d49e66cb9e11eaf250868a7727 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+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 41106 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+nd90+1_all.deb Size: 11105442 SHA256: 4b5ff75aa8a8031a1c3620a76b1b65f5fcc191e391d7c1fcfa2a00777b499286 SHA1: 7d46b5cebf5856dad15c211d4d8fe0e7321ede4d MD5sum: 4fc90095537294e997f60ee4a3375a4c 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+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 152 Depends: neurodebian-popularity-contest, libgdf-dev (>= 0.1.2-2~nd70+1+nd90+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+nd90+1_all.deb Size: 20944 SHA256: 81c4e4f08cb3571c7d12438b3ddc143928edecf9b2867b5a456094d681235582 SHA1: 9ee0e5663dd8005c6c86970408549a0a2cb9a526 MD5sum: 2652e3e243642c63e19a6d17294ed397 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+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1218 Depends: neurodebian-popularity-contest, matlab-support, spm8-common (= 8.5236~dfsg.1-1~nd70+1+nd90+1), make Provides: spm, spm8 Priority: extra Section: contrib/science Filename: pool/contrib/s/spm8/matlab-spm8_8.5236~dfsg.1-1~nd70+1+nd90+1_all.deb Size: 172118 SHA256: 8a605c9f34037d307878116ac083f4f295e10bcd2e2a0eb9284317ce884465a0 SHA1: 204d82386db8612bd1f3794905263a91b5b78da1 MD5sum: 58a768c2fb97d17ba3a69da1a8844ae7 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~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 96 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~nd90+1_all.deb Size: 31558 SHA256: d6d59154851394d5d6d5229508aa1880bd9a4f9f63be72d37f0730febb5dfdeb SHA1: 37206649b7a319b0daf69cf55d5320ef49070c84 MD5sum: 42cee6732f78b9afdf6c75b9cfd83767 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.