Package: afni Version: 0.20121123~dfsg.1-1~nd10.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 32888 Depends: neurodebian-popularity-contest, afni-common (= 0.20121123~dfsg.1-1~nd10.10+1), tcsh, gifsicle, libjpeg-progs, freeglut3, libc6 (>= 2.11), 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), libjpeg62, libmotif3, libnetcdf6, libnifti1 (>> 1.1.0-2), libsm6, libvolpack1, libx11-6, libxext6, libxi6, 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_0.20121123~dfsg.1-1~nd10.10+1_amd64.deb Size: 13182220 SHA256: c81e595a4cec062f553c7dd3f96ee866da5b338fa64a660c4ce7aeb94d86617d SHA1: 1540c5292a417037467928f5be596cb4c829d264 MD5sum: 6b7feca19129c5c122e3140501e991a5 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 easily usable in combination with FSL and FreeSurfer. Package: afni-common Source: afni Version: 0.20121123~dfsg.1-1~nd10.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 11080 Depends: neurodebian-popularity-contest, python, tcsh Recommends: python-mdp, python-nibabel Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-common_0.20121123~dfsg.1-1~nd10.10+1_all.deb Size: 5813166 SHA256: 065b9e0fe8891eb4ea1a21d91cb02375b30c0b9382239a2b275f4c60ceb9c991 SHA1: 5ae65339e5ed94cf9a73bd5dcbfa959669b431d1 MD5sum: 5b7826ce9fc89b3f9b12943547964b33 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-dev Source: afni Version: 0.20121123~dfsg.1-1~nd10.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 17276 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_0.20121123~dfsg.1-1~nd10.10+1_amd64.deb Size: 4435446 SHA256: fc72fc75fe8598f39be4a39a98b7b13c4a43b6d822ffbf0f3b052bc720b496ae SHA1: 2de091fa861c5a4fd47a169e6bff56b4456fd97f MD5sum: 5210eb9ad41d97238bfe86afac02a5ae 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: jist Version: 2.0.20100907.dfsg1-1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 40092 Depends: mipav, openjdk-6-jre | java6-runtime, libcommons-cli-java (>= 1.2), libdrmaa-java, libjgraph-java (>= 5.10.1.2), libxom-java (>= 1.2.1), libxpp3-java (>= 1.1.4c), libxstream-java (>= 1.3.1) Homepage: http://www.nitrc.org/projects/jist/ Priority: extra Section: contrib/science Filename: pool/contrib/j/jist/jist_2.0.20100907.dfsg1-1_all.deb Size: 9020652 SHA256: b4059b70c695e9caba46e8ea1cca6482819c740b2d91b56a569a11f6c7fc60ba SHA1: 1f898a03ea355a710e23cc79ff3b5d4c63295852 MD5sum: 800acee273ebe4a3bd78c49d32188556 Description: Java Image Science Toolkit Java Image Science Toolkit (JIST) provides a native Java-based imaging processing environment similar to the ITK/VTK paradigm. Initially developed as an extension to MIPAV (CIT, NIH, Bethesda, MD), the JIST processing infrastructure provides automated GUI generation for application plug-ins, graphical layout tools, and command line interfaces. Package: matlab-eeglab11 Source: eeglab11 Version: 11.0.0.0~b~dfsg.1-1~nd10.10+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~nd10.10+1_all.deb Size: 14149368 SHA256: e30a049f632a7b7050dad4a967e06b2d9b4584b07f644f9f03597a57252a4ff9 SHA1: 559209a92c046193c6dee26eefd59d866c2540dc MD5sum: 27e2ec2b7add42b93022697da2e46942 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~nd10.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 160 Depends: neurodebian-popularity-contest, libgdf-dev (>= 0.1.2-2~nd10.10+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~nd10.10+1_all.deb Size: 23576 SHA256: 26fb7ca10dbe406df4e68c78ff53cd15229f7bb823429a090cbe2ddcb2a52ce9 SHA1: e05bf618cf1e588bb664d6b9e2fb4f855933bfbd MD5sum: 3b00e7017f50b6686b5b60a765806d96 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~nd10.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1360 Depends: neurodebian-popularity-contest, matlab-support, spm8-common (= 8.4667~dfsg.1-1~nd10.10+1), make Provides: spm, spm8 Priority: extra Section: contrib/science Filename: pool/contrib/s/spm8/matlab-spm8_8.4667~dfsg.1-1~nd10.10+1_all.deb Size: 233668 SHA256: d0b927eada482b93576d538b4fbefa0bf75306dd191ac15ba92cf8eb93ccc0c7 SHA1: 58be4edf9aa9c5f07ae5050fb01536e0482d2503 MD5sum: 565a2a2d786e6e3339656f9a3ef37cd8 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: 0.0.17~nd10.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 92 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_0.0.17~nd10.10+1_all.deb Size: 28766 SHA256: 5f38f778a55a9c08751aefcdd927d15fe9de30ba207ec47482e50e49f5b6faf3 SHA1: df4bf16c6b8c019a26c5485d7c0249d7540e3d6b MD5sum: de64036a8771da0bfaaee64cd6420970 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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