Package: afni Version: 16.2.07~dfsg.1-5~nd16.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 47388 Depends: neurodebian-popularity-contest, afni-common (= 16.2.07~dfsg.1-5~nd16.10+1), tcsh, gifsicle, libjpeg-progs, freeglut3, libc6 (>= 2.23), 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), libgsl2, libgts-0.7-5 (>= 0.7.6), libice6 (>= 1:1.0.0), libnetcdf11 (>= 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.1-5~nd16.10+1_i386.deb Size: 11170418 SHA256: 11fb49fb804ce0f150a0e86bd29a9945daecb18c27b423b3d69015d67533b96f SHA1: d07403eb588515e4b0f73ccf0060921837a29621 MD5sum: 6483375cf7cc9e9febb4a56792fd1214 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.1-5~nd16.10+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.1-5~nd16.10+1_all.deb Size: 9347630 SHA256: b10d5d4832e5726845f8e635ab4aa78991858b540b89ed64775800a648241531 SHA1: 5befa6444a40256acfd6af3773664ea81e2b5b2e MD5sum: ea24c01166c0b3eb5939773ee31f6ef2 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.1-5~nd16.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 37575 Depends: neurodebian-popularity-contest, afni (= 16.2.07~dfsg.1-5~nd16.10+1) Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/debug Filename: pool/contrib/a/afni/afni-dbg_16.2.07~dfsg.1-5~nd16.10+1_i386.deb Size: 34639580 SHA256: 210ce78bb141cc7d195b02c01ec926d79056802956ed51533f690d35d8293ce7 SHA1: 345c5b6ec92138f486d8176149e4fdc9036b37e2 MD5sum: 08baeb6f448f2d4f7dff871542eb4ad3 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. 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fdcd2e54362fdddbe6da3914744c5964fb972255 fde1290e7fb0b821fd0edb1a1355a0db5658b566 fe5e489890651ba67d1aafe713ebe627d583ca5a Package: afni-dev Source: afni Version: 16.2.07~dfsg.1-5~nd16.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 17748 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.1-5~nd16.10+1_i386.deb Size: 4016714 SHA256: af8001e09588da8d45f3df86938a16a3e6249d2a8b68de15b95c8cf75d4ae9aa SHA1: 2d5f99b68e57e2353e8fe475fa45c6bf8a600eb5 MD5sum: 6f05199c7c7d39ac3a5628fe84cb4f58 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~nd70+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 41106 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~nd70+1+nd90+1+nd16.10+1_all.deb Size: 11031900 SHA256: 0b4482f2c499c8dac6f263550c621f1af6a8e69d35a5208102a1551557b6c4ff SHA1: 9347dbbf67def555da19ba243dc6e735b6c40d97 MD5sum: e6af513262eb87e128f47263af940e11 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~nd70+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 151 Depends: neurodebian-popularity-contest, libgdf-dev (>= 0.1.2-2~nd70+1+nd90+1+nd16.10+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~nd70+1+nd90+1+nd16.10+1_all.deb Size: 20788 SHA256: 5a15551e7772844daea7ee0568a11d334462288171a1a4b73b14d05199ce1851 SHA1: a602556df77e860b0a4514dad016afa3158b0101 MD5sum: 0a9425fdaf8acbc75977f9f0860054fa 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: 8.5236~dfsg.1-1~nd70+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1218 Depends: neurodebian-popularity-contest, matlab-support, spm8-common (= 8.5236~dfsg.1-1~nd70+1+nd90+1+nd16.10+1), make Provides: spm, spm8 Priority: extra Section: contrib/science Filename: pool/contrib/s/spm8/matlab-spm8_8.5236~dfsg.1-1~nd70+1+nd90+1+nd16.10+1_all.deb Size: 171236 SHA256: 98f728087f042e8b6114a087c23e72f3a41370f873a2cdfccb9803fc67356681 SHA1: e96876da4268cd28247e1a23245bff0758480ea4 MD5sum: a49e49837624e9feaa438565c715ec23 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~nd90+1+nd16.10+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~nd90+1+nd16.10+1_all.deb Size: 31608 SHA256: ce4cfaa6bf7fab552606dd29260fb8799dbdcb2fbb6920dbdb48ebfb54060e6d SHA1: f43949c03a242a56aa6a2fbabc7b373981d651d4 MD5sum: b2380c652d9924a851659ec22e5ade12 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.