Package: afni Version: 16.2.07~dfsg.1-2~nd15.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 45988 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_amd64.deb Size: 12785170 SHA256: dad0c82d39a69aebd40393c74f53a6f8c54513d9f160d1e7d248eb5d0c7889ce SHA1: 4ca2e1dc8691f511088747afb6afab471d523545 MD5sum: cf5fe953d34c6c95b066f8e76e9c5833 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 39195 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_amd64.deb Size: 35168796 SHA256: e6b28989be2ee83d88c5b5162a821c0ec1824dc0bdae35fba0cca0d731da1e8e SHA1: 7a3bb193593ac089637f07c50825cffe29cb3963 MD5sum: 525eeea4567a8610582dc5d3dbfc8e05 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 24103 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_amd64.deb Size: 4192302 SHA256: 2578d0b1bff5e9259af1bf03fc9e97e27f8315f55fcbcc896910b551c7817ea1 SHA1: 00460d5ca8b34efa6b01d60f0723357676409381 MD5sum: e747594e6bba0f5da00d8e1c6ac63d13 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: 5.0.7-1~nd14.04+1+nd14.10+1+nd15.04+1+nd15.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 12 Depends: fsl-5.0-core (>= 5.0.7-1~nd14.04+1+nd14.10+1+nd15.04+1+nd15.10+1~), fsl-atlases (>= 5.0~), fslview, fsl-possum-data (>= 5.0~), fsl-first-data (>= 5.0~) Recommends: fsl-5.0-wiki (>= 5.0.7-1~nd14.04+1+nd14.10+1+nd15.04+1+nd15.10+1~), fsl-5.0-gpu (>= 5.0.7-1~nd14.04+1+nd14.10+1+nd15.04+1+nd15.10+1~) Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: contrib/science Filename: pool/contrib/f/fslmeta/fsl-5.0-complete_5.0.7-1~nd14.04+1+nd14.10+1+nd15.04+1+nd15.10+1_all.deb Size: 4110 SHA256: ed579f6bef5022b650fac52396e4252c786ee831634a8d73e6c6d8c11c19b312 SHA1: b50005427b20a912a96ff661c46952b2723efc19 MD5sum: 882f7577147d19ca1da133efc70b1fac 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: 5.0.7-1~nd14.04+1+nd14.10+1+nd15.04+1+nd15.10+1 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_5.0.7-1~nd14.04+1+nd14.10+1+nd15.04+1+nd15.10+1_all.deb Size: 4060 SHA256: 1653422f9c3ae2cd9b2095d83950f3d4f49a02b177a898678831e73c6297e369 SHA1: 6957dec2cc6f82029bf10154bcdfc1bb5e54fd6b MD5sum: 1f6c37bbda6ea49f3f23f8ca92325a21 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: 2017.1-1~ndall Architecture: amd64 Maintainer: Yaroslav Halchenko Installed-Size: 435076 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_2017.1-1~ndall_amd64.deb Size: 152255442 SHA256: b37066130d3d3e2572ddde785c8be2b94a9a908b2ce60b4c65239f228128ab09 SHA1: 20fd6f5fbcac61364f3e287b447aa53425b2207a MD5sum: ed170dcfad44ab6cf0ad83a879a59162 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. Package: pycharm-community-sloppy-dbgsym Source: pycharm-community-sloppy Version: 2017.1-1~ndall Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: Yaroslav Halchenko Installed-Size: 12264 Depends: pycharm-community-sloppy (= 2017.1-1~ndall) Homepage: https://www.jetbrains.com/pycharm Priority: extra Section: contrib/debug Filename: pool/contrib/p/pycharm-community-sloppy/pycharm-community-sloppy-dbgsym_2017.1-1~ndall_amd64.deb Size: 2259888 SHA256: c6cec642121675826874dc27db027555b130ac8d2e03301e9b46bba7b92a63ac SHA1: b83f03750696923344f0ea4f57c0b31a341dbd09 MD5sum: cbe63ac81a4af18a5e89abc6040d6b6b Description: Debug symbols for pycharm-community-sloppy Build-Ids: 015299f292909ebb35ab1d6bdd470e9eadf8bf52 01f486724a2b2c0731d3da03baf9620d7fa3e0b6 06bf5750152818f965fb2b9a8a56b76ef3f0fd5c 06c3193d6015033dd63848f2f71723d9732dfc44 0a89f378bcee7de2dace8a6eabfe0e9a190c5ab1 0b8761fccafa5fa5a14d26359dece4d467b94bc0 0f1285faa381039c11881f14dacd057a9c19ab83 1c19aa5bf19ca41e5a9e82d1662cf0271d552041 1c64efe889bf8fa3d0e03833df9b41a8a7a5b939 1d1a2282079c6e92cbe6707f6ee993188852473a 24b4aac17417e057ea81b3fc287842c74d4869c9 290f25fb55e553bb7b2ecc196e4108f7bc9406f1 2b45be30aee2c34867e0f03ca9c1907a89f0f94d 2f5e445283dae7d61743bc5e08531432627d9cba 3962a99d045eb791e1d634adcb8ccb472c98cb52 411e9b2f228cc1373d836f2e119e667aef0f0ba3 4a3a271fd358c41d36fe048fdc7daa3c34b7ad5b 5e29b01c40ace080f44ca6810fb73b9b4cedc970 67ae7e52f34fcb0621ba3937e4288b314676bae2 6c7f9241b0942896ff8898d5cc34ff8dc84f0235 6ccc063fd5a069ddf905d21b1a3235a96e43866d 74e267f1294dd518aa074bf5b042fd894f3aa484 7586b16c56f077f6e51277be77831ba8a15df645 7f208a59f0556e8de55e90787256d6ed60431f74 803f17a971aa43e9f4d9e204c3c31a8caccc5293 80471f36ec0145077b80612be3c63d8e3e60a40b 818c245b275894e9ba80bd9bea5129ecd1d41ec2 8593af639077833cc0b722469557b92cd51d78dd 8593af639077833cc0b722469557b92cd51d78dd 8b99d7f1e397b36107136389644cd5c4841597e0 8ba9e84048126af2fd87391de5c1cfa4e37ecea6 8f4fb4d82753dacc8f963546ee3cb19750db7c82 936dbd66121e9b35d3755dcd2b7ecfa2554cc5bb 9430da8cd0380c8d5c12cd3f73fe02e1502252da 961c1ed9e8c3f541f5cdcbbd7ffa4a32d88d6aa6 a62b2690329d0390b555e04204878b341cd0a634 a7612d336a525ef17252025ee1f82dfdabf5957b ab708c70bc1537d860859eed245185da33309185 b83f109a6b80bd56120e4bf8f8b7f5d1eb7b1bc8 b98f3151778ed1357acb2da19ce892a9b55f9a8b bc00f904ec2d6d818af25c88623c72eab34de501 c2656de285ec749f41dce5603c47015033ab7bda c4737f3a7226086ee8af694720fbcbcf459d6a1e c7a35657e07a92b9c7496857af87fb933c23e19d c8659e197e3a06f0e13288c075d9e1eee4e43653 c8f69f4ff062e25fb7a46d705ff8ca0155323838 c9f5f4b8db32f4392d84aa6d159bb6f6d26ff4de ca397c9d9d46236f97fb0a2c49816b4743ded019 d0410c8a6c7c633b1f161cf0db50d81143368509 d25029fa5673d86077ee441a6430c0d4fadfebf8 d5d09e49f7772cf6b24c5579e608d2c1e458c8ea d8a8489f4469c8ab41992360d02656d4bbd704c8 e5f5f2f5492c292e1f9f9c78b95d9eae17e67eee e6671bef448f9131f8989259eeca2ef78199a12e ea788791cc642c3f82f308d1a6d9b00dc1fa907c ec2d06cd5ea762bf7398dfce6464956be50a9b8d ed039021f988cdc7377cb4f65a5df1275813680b f526bc7181ebed2cc6d126adc4c959ff52dad257 f7d194e28877051dac2b1c7404322508c1324d60 fa6c01f8be09841ff4510a52ff3afa9b5ed3ee45 fd310fc393231468a0d4e83adfa48ac5f32737ed fde7feafbf78b3be34f4d7589a5ace94a2416733