Package: afni
Version: 16.2.07~dfsg.1-2~nd15.10+1
Architecture: amd64
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 45988
Depends: neurodebian-popularity-contest, afni-common (= 16.2.07~dfsg.1-2~nd15.10+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), libnetcdf7 (>= 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.1-2~nd15.10+1_amd64.deb
Size: 12785170
SHA256: dad0c82d39a69aebd40393c74f53a6f8c54513d9f160d1e7d248eb5d0c7889ce
SHA1: 4ca2e1dc8691f511088747afb6afab471d523545
MD5sum: cf5fe953d34c6c95b066f8e76e9c5833
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~nd15.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 14914
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~nd15.10+1_all.deb
Size: 9361846
SHA256: ee9d813c83760a9d2612adce820317cca78900a2b1534925d1dcd31a0e684ddf
SHA1: 88ab11d9ae1d7bb62e2aa1a3e43c782cc963ddb1
MD5sum: 36081c0fa95636f57dc7a40249118c02
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~nd15.10+1
Architecture: amd64
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 39195
Depends: neurodebian-popularity-contest, afni (= 16.2.07~dfsg.1-2~nd15.10+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~nd15.10+1_amd64.deb
Size: 35168796
SHA256: e6b28989be2ee83d88c5b5162a821c0ec1824dc0bdae35fba0cca0d731da1e8e
SHA1: 7a3bb193593ac089637f07c50825cffe29cb3963
MD5sum: 525eeea4567a8610582dc5d3dbfc8e05
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~nd15.10+1
Architecture: amd64
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 24103
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~nd15.10+1_amd64.deb
Size: 4192302
SHA256: 2578d0b1bff5e9259af1bf03fc9e97e27f8315f55fcbcc896910b551c7817ea1
SHA1: 00460d5ca8b34efa6b01d60f0723357676409381
MD5sum: e747594e6bba0f5da00d8e1c6ac63d13
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: 5.0.7-3~ndall0
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 12
Depends: fsl-5.0-core (>= 5.0.7-3~ndall0~), fsl-atlases (>= 5.0~), fsl-possum-data (>= 5.0~), fsl-first-data (>= 5.0~)
Recommends: fsl-5.0-wiki (>= 5.0.7-3~ndall0~), fsl-5.0-gpu (>= 5.0.7-3~ndall0~), fslview
Suggests: fsleyes
Homepage: http://www.fmrib.ox.ac.uk/fsl/
Priority: optional
Section: contrib/science
Filename: pool/contrib/f/fslmeta/fsl-5.0-complete_5.0.7-3~ndall0_all.deb
Size: 4014
SHA256: d524bfba85f003dc1b013013927062869d310468a1723cce2f889cd999d0ce34
SHA1: daed795276f955a9c9b179fe1b43d845b47bb799
MD5sum: 22798de378c13c9de7b0f817fa5ac257
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: 5.0.7-3~ndall0
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
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_5.0.7-3~ndall0_all.deb
Size: 3954
SHA256: 3fc0882881b73b4868405876f3b31addd423672ccc5214e897e19c39c2978e39
SHA1: 21dcda16b2d7bccfc1898d55835f08715b747796
MD5sum: c4d1c94875389ab6b43c0d9e0189cd0a
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-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+nd15.10+1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 1218
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+nd15.10+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+nd15.10+1_all.deb
Size: 171410
SHA256: 77b860bdf949a6e32e22dd400283c77bdef772401600314d5de71939f54b8d95
SHA1: 51c43e8066aaf556a5810331a4e36d9b76039db5
MD5sum: 464e53fd39593c183b8a2a3cfe5983fc
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+nd15.10+1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
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~nd15.04+1+nd15.10+1_all.deb
Size: 31642
SHA256: ade8608f2d74a884840c773e3a4be73c775096662300c564cbc0550833d3e262
SHA1: 709ca55130ccc8ba430f9a10250af85ce2c669d4
MD5sum: 81767fd74b0436a0bd0c739084c0eb24
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: 2019.3.3-1~ndall
Architecture: amd64
Maintainer: Yaroslav Halchenko <debian@onerussian.com>
Installed-Size: 716865
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_2019.3.3-1~ndall_amd64.deb
Size: 297890076
SHA256: 1ee0179eec020656ad03e46d88b0ee7eda27b80419dc100c6d9d6ee592d03081
SHA1: 9096a59d29eb05af2f35840286ab2b3c33e4d3d8
MD5sum: 84ffbb693622b5e85621522198689d57
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.

Package: pycharm-community-sloppy-dbgsym
Source: pycharm-community-sloppy
Version: 2017.2.3-1~ndall
Auto-Built-Package: debug-symbols
Architecture: amd64
Maintainer: Yaroslav Halchenko <debian@onerussian.com>
Installed-Size: 12269
Depends: pycharm-community-sloppy (= 2017.2.3-1~ndall)
Homepage: https://www.jetbrains.com/pycharm
Priority: extra
Section: contrib/debug
Filename: pool/contrib/p/pycharm-community-sloppy/pycharm-community-sloppy-dbgsym_2017.2.3-1~ndall_amd64.deb
Size: 2260976
SHA256: fe6272ee28f1750eaeb879ebacceaa591f9a9a3b6dd9bb8ef508f15ebfc9e243
SHA1: e99494c69103421b78245d0473811a9ce91d680a
MD5sum: 8a88424e9b1a64b4397bb915e57ec459
Description: Debug symbols for pycharm-community-sloppy
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