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: 2017.1.2-1~ndall
Architecture: amd64
Maintainer: Yaroslav Halchenko <debian@onerussian.com>
Installed-Size: 435185
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_2017.1.2-1~ndall_amd64.deb
Size: 152089260
SHA256: 7620333e5cc87e911acfc5ceb8a04cda3b043c32261bda1bb88db838765b1f00
SHA1: 8b55797f8a23a231ae94bbc2aa5a15a2838bd4d9
MD5sum: e62b5dbcce75dfdf4578e815bb0b7e96
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: 2017.1.2-1~ndall
Auto-Built-Package: debug-symbols
Architecture: amd64
Maintainer: Yaroslav Halchenko <debian@onerussian.com>
Installed-Size: 12263
Depends: pycharm-community-sloppy (= 2017.1.2-1~ndall)
Homepage: https://www.jetbrains.com/pycharm
Priority: extra
Section: contrib/debug
Filename: pool/contrib/p/pycharm-community-sloppy/pycharm-community-sloppy-dbgsym_2017.1.2-1~ndall_amd64.deb
Size: 2253910
SHA256: 14a87a4d2d6886e6024050f7f01a28d06a2f130ca3e14d9933a9d4bcc304ca79
SHA1: 19918f72e3391b1ff5f0eb4506f1e2972b2da75b
MD5sum: c8fe16aa47fe09df483a11aae022a298
Description: Debug symbols for pycharm-community-sloppy
Build-Ids: 015299f292909ebb35ab1d6bdd470e9eadf8bf52 01f486724a2b2c0731d3da03baf9620d7fa3e0b6 06bf5750152818f965fb2b9a8a56b76ef3f0fd5c 06c3193d6015033dd63848f2f71723d9732dfc44 0a89f378bcee7de2dace8a6eabfe0e9a190c5ab1 0b8761fccafa5fa5a14d26359dece4d467b94bc0 0f1285faa381039c11881f14dacd057a9c19ab83 0fa25da0a4024ce56a95811f2be16aac241fa845 1c19aa5bf19ca41e5a9e82d1662cf0271d552041 1c64efe889bf8fa3d0e03833df9b41a8a7a5b939 1d1a2282079c6e92cbe6707f6ee993188852473a 1f7e9ef27190fa71ec94d5a462d127332c21b107 24b4aac17417e057ea81b3fc287842c74d4869c9 2b45be30aee2c34867e0f03ca9c1907a89f0f94d 2f5e445283dae7d61743bc5e08531432627d9cba 2fc3dc0b272867b2f559f993a5baf04cafd33a0d 411e9b2f228cc1373d836f2e119e667aef0f0ba3 4834aad26762f2cbcda04d109f0b869eb0b443c0 5e29b01c40ace080f44ca6810fb73b9b4cedc970 67ae7e52f34fcb0621ba3937e4288b314676bae2 6a01edf524a54f8bf83330a051e2d1b134ef1a3f 6c7f9241b0942896ff8898d5cc34ff8dc84f0235 6ccc063fd5a069ddf905d21b1a3235a96e43866d 7586b16c56f077f6e51277be77831ba8a15df645 7f208a59f0556e8de55e90787256d6ed60431f74 80471f36ec0145077b80612be3c63d8e3e60a40b 818c245b275894e9ba80bd9bea5129ecd1d41ec2 8593af639077833cc0b722469557b92cd51d78dd 8593af639077833cc0b722469557b92cd51d78dd 8b99d7f1e397b36107136389644cd5c4841597e0 8ba9e84048126af2fd87391de5c1cfa4e37ecea6 8f4fb4d82753dacc8f963546ee3cb19750db7c82 9430da8cd0380c8d5c12cd3f73fe02e1502252da 9b4a858f36fc6517b936431112dbd780756d3b32 9cf0ecbfe3ee91e4e2bc9812db4e41f0c7fcf3bd a645bd81ec4195db7301431c372eaa9ef4ab7155 a7612d336a525ef17252025ee1f82dfdabf5957b ab708c70bc1537d860859eed245185da33309185 b83f109a6b80bd56120e4bf8f8b7f5d1eb7b1bc8 b98f3151778ed1357acb2da19ce892a9b55f9a8b bc00f904ec2d6d818af25c88623c72eab34de501 c21d18b3d554b47d038ba6be92495ac226c5ec6c c2656de285ec749f41dce5603c47015033ab7bda c4737f3a7226086ee8af694720fbcbcf459d6a1e c51ee878ac8a58f7bd2361447cc675189857aa38 c771782b708c1b9de75a026c04facb3d01945d42 c8659e197e3a06f0e13288c075d9e1eee4e43653 c8f69f4ff062e25fb7a46d705ff8ca0155323838 ca397c9d9d46236f97fb0a2c49816b4743ded019 ce3e00304dfd2b3c665fc551edd83bad7971156d d0410c8a6c7c633b1f161cf0db50d81143368509 d25029fa5673d86077ee441a6430c0d4fadfebf8 d3b0056a89d9c0bc915fdf6f4a1f9d2f84485470 d5d09e49f7772cf6b24c5579e608d2c1e458c8ea d8a8489f4469c8ab41992360d02656d4bbd704c8 ea788791cc642c3f82f308d1a6d9b00dc1fa907c ed039021f988cdc7377cb4f65a5df1275813680b f377aa67ce98619408379a1a194c43b5e5a3a84b f526bc7181ebed2cc6d126adc4c959ff52dad257 f7d194e28877051dac2b1c7404322508c1324d60 fa6c01f8be09841ff4510a52ff3afa9b5ed3ee45 fde7feafbf78b3be34f4d7589a5ace94a2416733