Package: afni
Version: 0.20141224~dfsg.1-1~nd13.10+1
Architecture: i386
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 35689
Depends: neurodebian-popularity-contest, afni-common (= 0.20141224~dfsg.1-1~nd13.10+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 (>= 4.2.1), libgsl0ldbl (>= 1.9), libgts-0.7-5 (>= 0.7.6), libice6 (>= 1:1.0.0), libnetcdfc7, libnifti2, libsm6, libvolpack1, libx11-6, libxext6, libxm4 (>= 2.3.4), libxmu6, libxt6, xmhtml1 (>= 1.1.7-19~), 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~nd13.10+1_i386.deb
Size: 13489792
SHA256: b13e2a694b2da43a3c89c0184b5fb63ca3a153fc172b20fc06fa7bb4faa38fb0
SHA1: cf9b08b03581ca9009b9f03c8adb75a4de603189
MD5sum: f787aca3fa49d1a14105185a3c60692a
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~nd13.10+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~nd13.10+1_all.deb
Size: 8980900
SHA256: 947e0ddc618919f4b1748cf6bfc837f1cb7967564ed01e5c39f31e38fc8632be
SHA1: df6400ac9db56b88e03b24d800705655af27e7e5
MD5sum: f4407cfbc703a7e41747529f85fe94d1
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~nd13.10+1
Architecture: i386
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 64431
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~nd13.10+1_i386.deb
Size: 26782606
SHA256: 9b371766e7b7acbd42e76690bfa5baed706756cb190c6324b6bd83a48c888c5e
SHA1: 1e645718c617237338184f3957d9afc0ba539c9c
MD5sum: 65d96971266d20aa6cd0676f27bba4f6
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~nd13.10+1
Architecture: i386
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 13967
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~nd13.10+1_i386.deb
Size: 4488512
SHA256: d0ccac5e617ebcee29f17facd4ecaacd53f13e406dd7b000da492fd9c7e88305
SHA1: fbf09bc672fc134776f026abbf95b9cefba152c7
MD5sum: cb5580ea794361a83830f3f8fc18b394
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-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
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_all.deb
Size: 14149582
SHA256: 28bed17e0d05f12839840783f73f2773749c98fb4b24c4727830b4cfb4948292
SHA1: f5991db937a439fe1f844b73bc4d05b2a6f27a6c
MD5sum: 4d659b42d0c0f413446e95c0eec57cd9
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
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), 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_all.deb
Size: 232916
SHA256: 62200eca5ab5cbbb6665d608ef918a6573fb8e562e281417c21a19b1ff66166b
SHA1: 5cc98a303b0a79cfbaef923690be1a0239510127
MD5sum: 54648b9f9e57892f2e8f70ecbf3d0292
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: 2019.3.3-1~ndall
Architecture: i386
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_i386.deb
Size: 297890100
SHA256: fcd418965eeca4bb39521b5a38bbcdc3ac9c8c6ddeb6e96e2f5fd893ad5b61d0
SHA1: 3c9a619d09a7cc041886e4116c16f87285966c40
MD5sum: f1d85c02aaddbad3d8df1019e125e15c
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.