Package: afni Version: 0.20130830~dfsg.1-1~nd11.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 34108 Depends: neurodebian-popularity-contest, afni-common (= 0.20130830~dfsg.1-1~nd11.10+1), tcsh, gifsicle, libjpeg-progs, freeglut3, libc6 (>= 2.11), libf2c2, 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), libmotif4, libnetcdf6, libnifti2, libvolpack1, libx11-6, libxext6, libxmu6, libxt6, xmhtml1 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_0.20130830~dfsg.1-1~nd11.10+1_amd64.deb Size: 13573502 SHA256: f0d362f3ccb993d8989a20dfda4922b9742db9c8489d632753c86c7e7807af4c SHA1: bab37c90c3cc4f5fb7ae28049c556e8eed0fb018 MD5sum: 8bdbbc97025f8d65234faaa2f5b9fe0f 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: 0.20130830~dfsg.1-1~nd11.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12020 Depends: neurodebian-popularity-contest, python, tcsh, afni-atlases Recommends: python-mdp, python-nibabel Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-common_0.20130830~dfsg.1-1~nd11.10+1_all.deb Size: 6438394 SHA256: 50c2dfe40ed82e2b7a604abd721012859911d41fed5fc2cc8f1238ab4fb955ec SHA1: f4e41e00adf5f69376ab9bdfb6aefe8a7c92ff56 MD5sum: f8a74b1c603a64826e1f0a309e80bed1 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: 0.20130830~dfsg.1-1~nd11.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 63920 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dbg_0.20130830~dfsg.1-1~nd11.10+1_amd64.deb Size: 21313038 SHA256: 0dbfd02dddb0095fe42df6bcd340fe2c50a9e1b37289975a3c14d69255349378 SHA1: 557beb96adf2875d676e618a800e99592da6e868 MD5sum: 4fbeaf04980af609ea1d57510bcab948 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: 0.20130830~dfsg.1-1~nd11.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 23076 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_0.20130830~dfsg.1-1~nd11.10+1_amd64.deb Size: 4550898 SHA256: 520da18ba144b1693517fc19cc0d7fbda13519602aedd838605b617f3674e8b9 SHA1: 3969756bf70f51921d88653f2162020f69a70fcb MD5sum: 68d8218c33f4f8a21ad686226e961b00 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-eeglab11 Source: eeglab11 Version: 11.0.0.0~b~dfsg.1-1~nd11.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 42416 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_all.deb Size: 14149370 SHA256: bf745c8e9e36ddd391a3c9a3fe466c795bc32567dc6902d4b48cb38b0e7be39a SHA1: 86ce66df3dd3519cc33e5b22d4520a9e3b8c8d52 MD5sum: 21073e468a55f8885ec2468980464d3c 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-gdf Source: libgdf Version: 0.1.2-2~nd11.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 160 Depends: neurodebian-popularity-contest, libgdf-dev (>= 0.1.2-2~nd11.10+1), matlab-support Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: contrib/science Filename: pool/contrib/libg/libgdf/matlab-gdf_0.1.2-2~nd11.10+1_all.deb Size: 23572 SHA256: d4247698c050ffd59cd4e18e671bbbd79ca35dbc0c7182b944ac3950b096e4ac SHA1: a335da8543f187443d56922a51dc63ae549ebdd2 MD5sum: 0f58e63c4c890ed1a5d1601fdf3821af Description: IO library for the GDF -- Matlab interface GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package builds Matlab bindings for GDF at installation time. Note that this package depends on Matlab -- a commercial software that needs to be obtain and installed separately. Package: matlab-spm8 Source: spm8 Version: 8.4667~dfsg.1-1~nd11.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1360 Depends: neurodebian-popularity-contest, matlab-support, spm8-common (= 8.4667~dfsg.1-1~nd11.10+1), make Provides: spm, spm8 Priority: extra Section: contrib/science Filename: pool/contrib/s/spm8/matlab-spm8_8.4667~dfsg.1-1~nd11.10+1_all.deb Size: 233660 SHA256: 64400a24fba98936a59182d8673d25ceba1b0e8e34a0c9f69ec57ec9b05b5cc7 SHA1: 998b06067d64f6ed8dadfc3b2fde3858c0fe3a31 MD5sum: f16df0aecb66c8a3a9d922e77e798d86 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: 0.0.19~nd11.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 96 Depends: neurodebian-popularity-contest, debconf (>= 1.3.22) | cdebconf (>= 0.43), debconf (>= 0.5) | debconf-2.0, libxp6, sudo Recommends: libstdc++6-4.4-dev | libstdc++-dev Conflicts: matlab (<= 0.0.14~) Replaces: matlab (<= 0.0.14~) Priority: optional Section: contrib/devel Filename: pool/contrib/m/matlab-support/matlab-support_0.0.19~nd11.10+1_all.deb Size: 31824 SHA256: 17f40d28ebe10f388c4af851fd4aa972c8efe066592d074eccb27c3f31975a42 SHA1: 5a2c7bd051590dd33c2698563682499bcc80b96a MD5sum: 63038892733efea8337779f30ed8f4c8 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 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. 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