Package: afni Version: 16.2.07~dfsg.1-2~nd15.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 47735 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_i386.deb Size: 11422590 SHA256: d89df7ea2134c8d98b92a59f6f7db72855c9a641d6286645014bb4d47da2d184 SHA1: 3d545a985580991cbf10f9dcc1f836f9c06c2b76 MD5sum: d97889513ad2e30b8ae3e909617c98a4 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 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 33654 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_i386.deb Size: 30693276 SHA256: 91e27376afe6bf05d76f1f1feb33d810b21fcfad16ac813b4c8678367bb71874 SHA1: 18f0a4b51601991c843142005b90ee45d649738b MD5sum: 20e654cf5b8b6421aef64adc55b2f1ca 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 17850 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_i386.deb Size: 4052312 SHA256: d33a3c97be69b9ac0ce443bd7541a0fe518d9537dae38cf40880c65f77e185f8 SHA1: 6868e76a969437db3ad71fa5e2213d0bc39a1fb9 MD5sum: 0c4faaa5d5d963cc5a20754ab803102e 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 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 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 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 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: i386 Maintainer: Yaroslav Halchenko 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.