Package: afni
Version: 0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1
Architecture: amd64
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 38146
Depends: neurodebian-popularity-contest, afni-common (= 0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1), tcsh, gifsicle, libjpeg-progs, freeglut3, libc6 (>= 2.15), 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_0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1_amd64.deb
Size: 10484952
SHA256: a93719ecf7854d6baf70a5483e8c955bbc375c480cecfe50dc2ac76e23ec1c0e
SHA1: aea577a04b9463da22bfa3149c61152b4b66de3a
MD5sum: 4e0c1453aeff19239b70a3d4059bec97
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: 0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 13060
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_0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1_all.deb
Size: 8436148
SHA256: ccd6afbea452aeb9401a13b3386bc5700b0e8f9d6186644462add1057104a550
SHA1: 363d1bc332b564ba0866191de644d75a18240c42
MD5sum: 3063bb86aab469b00fa725412182149b
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: 0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1
Architecture: amd64
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 77489
Depends: neurodebian-popularity-contest
Homepage: http://afni.nimh.nih.gov
Priority: extra
Section: contrib/science
Filename: pool/contrib/a/afni/afni-dbg_0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1_amd64.deb
Size: 15059296
SHA256: ee94111ea29514da4812c4e10b2f75294ec7d51e77b4c77bb3ee830114f27364
SHA1: 690383c43dda5f102e65ad7aab6e21c72030132e
MD5sum: 4a257dda853c94e513460f6b71377a0a
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: 0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1
Architecture: amd64
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 19147
Depends: neurodebian-popularity-contest
Homepage: http://afni.nimh.nih.gov
Priority: extra
Section: contrib/science
Filename: pool/contrib/a/afni/afni-dev_0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1_amd64.deb
Size: 3587920
SHA256: c0c7906bb3105cf615da02d3dfc9a0a4360c309050f1da7495437ce81bc43353
SHA1: 80432b2f2c7ea45c380409791cdc6482d02b85aa
MD5sum: 8d777432eb4540b64f4a362ccaf6e5fd
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~nd14.04+1+nd14.10+1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 6
Depends: fsl-5.0-core (>= 5.0.7-1~nd14.04+1+nd14.10+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~nd14.04+1+nd14.10+1~), fsl-5.0-gpu (>= 5.0.7-1~nd14.04+1+nd14.10+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~nd14.04+1+nd14.10+1_all.deb
Size: 4086
SHA256: a69330ff67c920a665ec0911ac5c8d32bf33c7d484322b217934b8b8c6cae8ef
SHA1: ca6599839c446b373805999d6f54da12a2e53fb0
MD5sum: 2871de81d5b349d32d30dd8b5150f7fe
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~nd14.04+1+nd14.10+1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 6
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~nd14.04+1+nd14.10+1_all.deb
Size: 4036
SHA256: fa7122d02b184129c00d234d99e2788e44ad55028b2a20cb49381ef4f3bf7841
SHA1: 6723abdf06ba37c5582909bde9ea802cf0c41489
MD5sum: fdeff945b0fb74a2cb2a68ea276cfe23
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+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
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+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1_all.deb
Size: 11058914
SHA256: aa6cad5d55266ce6beb6842118872e5671aecef7db641f02608779c54e26b91f
SHA1: b1fe8322753026f6c9ce566f8f092f7909377b12
MD5sum: 49101e406ad8b918e21054911b629e8a
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-spm8
Source: spm8
Version: 8.5236~dfsg.1-1~nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 1164
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), 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_all.deb
Size: 172414
SHA256: 88ffe127681cd23829ce8c5782b88ccae69dd04385dd0761eca111e7bc81fae9
SHA1: 460bec91d541e6bd43fdf62be64ec32865081b89
MD5sum: 72157e01bcd2ee5fd23c610cea687703
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: pycharm-community-sloppy
Version: 2017.1-1~ndall
Architecture: amd64
Maintainer: Yaroslav Halchenko <debian@onerussian.com>
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.

Package: pycharm-community-sloppy-dbgsym
Source: pycharm-community-sloppy
Version: 2017.1-1~ndall
Auto-Built-Package: debug-symbols
Architecture: amd64
Maintainer: Yaroslav Halchenko <debian@onerussian.com>
Installed-Size: 12264
Depends: pycharm-community-sloppy (= 2017.1-1~ndall)
Homepage: https://www.jetbrains.com/pycharm
Priority: extra
Section: contrib/debug
Filename: pool/contrib/p/pycharm-community-sloppy/pycharm-community-sloppy-dbgsym_2017.1-1~ndall_amd64.deb
Size: 2259888
SHA256: c6cec642121675826874dc27db027555b130ac8d2e03301e9b46bba7b92a63ac
SHA1: b83f03750696923344f0ea4f57c0b31a341dbd09
MD5sum: cbe63ac81a4af18a5e89abc6040d6b6b
Description: Debug symbols for pycharm-community-sloppy
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