Package: afni Version: 16.2.07~dfsg.1-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 46071 Depends: neurodebian-popularity-contest, afni-common (= 16.2.07~dfsg.1-2~nd90+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.1-2~nd90+1_amd64.deb Size: 12602202 SHA256: 0619d49952775fd1d9c1453aa2a065b876ec016e1dbcead09a90e44d1d82c561 SHA1: 470747b71b367b1bfa472ad294a51f44cfba874b MD5sum: 17ba9548d5f3937431dab210b1a97aff 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~nd90+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~nd90+1_all.deb Size: 9347472 SHA256: e99d539c558316e7161dfd332475f58913fadb14c78cdf97382c7296e23b432d SHA1: 4e7c6d211b5213b2cfed1d24cbd346d209d6f52d MD5sum: fb86f8802ff9590e1c713a8ba5d4336d 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 42927 Depends: neurodebian-popularity-contest, afni (= 16.2.07~dfsg.1-2~nd90+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~nd90+1_amd64.deb Size: 38877388 SHA256: 882556844e21c8a1c5d2b47ecbd9e462ac97d3c03e6263416beb4b12d53d6ce2 SHA1: 1a192fa3234352e49c1db7f05723762412025f74 MD5sum: ffe7a671c821964b1d3f9030faf6b502 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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fef004e508830a3d419ef974ff89af515d6259a2 ff69e55cc08898d101308230a12e0d508bb3b305 ffb7214bcdce56de61cc80f499b8a5fd8343c431 Package: afni-dev Source: afni Version: 16.2.07~dfsg.1-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 23905 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~nd90+1_amd64.deb Size: 4157736 SHA256: 1f96ba53c200fbaff06fda2ff2d8fa6e44207c9427f786e1dfc988d36998b291 SHA1: 2ceb5536af64a4fb333b930fac48338f7965096e MD5sum: 755150e05cf5784f23b951b40ef4b7aa 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 12 Depends: fsl-5.0-core (>= 5.0.7-1~nd80+1+nd90+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~nd80+1+nd90+1~), fsl-5.0-gpu (>= 5.0.7-1~nd80+1+nd90+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~nd80+1+nd90+1_all.deb Size: 4018 SHA256: 5e70ddb9c02dd13dd87ea3aa9125b899579ecb499b2f907c984a4e380785d720 SHA1: 0968ea4d96583017d1bb4432bcb0460c04bf14c6 MD5sum: e39c598b557e176cdb728d9f2a5db1ee 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~nd80+1+nd90+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~nd80+1+nd90+1_all.deb Size: 3966 SHA256: db23a7a91a8398ce58c585f3e1dde81cfc7bb607154014a38d1dcc430192ca46 SHA1: c77ddebeb42b4a5bc12322cc620688627bb2dd77 MD5sum: b00e09d49e66cb9e11eaf250868a7727 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 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_all.deb Size: 11105442 SHA256: 4b5ff75aa8a8031a1c3620a76b1b65f5fcc191e391d7c1fcfa2a00777b499286 SHA1: 7d46b5cebf5856dad15c211d4d8fe0e7321ede4d MD5sum: 4fc90095537294e997f60ee4a3375a4c 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 152 Depends: neurodebian-popularity-contest, libgdf-dev (>= 0.1.2-2~nd70+1+nd90+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_all.deb Size: 20944 SHA256: 81c4e4f08cb3571c7d12438b3ddc143928edecf9b2867b5a456094d681235582 SHA1: 9ee0e5663dd8005c6c86970408549a0a2cb9a526 MD5sum: 2652e3e243642c63e19a6d17294ed397 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 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), 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_all.deb Size: 172118 SHA256: 8a605c9f34037d307878116ac083f4f295e10bcd2e2a0eb9284317ce884465a0 SHA1: 204d82386db8612bd1f3794905263a91b5b78da1 MD5sum: 58a768c2fb97d17ba3a69da1a8844ae7 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 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_all.deb Size: 31558 SHA256: d6d59154851394d5d6d5229508aa1880bd9a4f9f63be72d37f0730febb5dfdeb SHA1: 37206649b7a319b0daf69cf55d5320ef49070c84 MD5sum: 42cee6732f78b9afdf6c75b9cfd83767 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: 2017.1.2-1~ndall Architecture: amd64 Maintainer: Yaroslav Halchenko Installed-Size: 435185 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_2017.1.2-1~ndall_amd64.deb Size: 152089260 SHA256: 7620333e5cc87e911acfc5ceb8a04cda3b043c32261bda1bb88db838765b1f00 SHA1: 8b55797f8a23a231ae94bbc2aa5a15a2838bd4d9 MD5sum: e62b5dbcce75dfdf4578e815bb0b7e96 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: 2017.1.2-1~ndall Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: Yaroslav Halchenko Installed-Size: 12263 Depends: pycharm-community-sloppy (= 2017.1.2-1~ndall) Homepage: https://www.jetbrains.com/pycharm Priority: extra Section: contrib/debug Filename: pool/contrib/p/pycharm-community-sloppy/pycharm-community-sloppy-dbgsym_2017.1.2-1~ndall_amd64.deb Size: 2253910 SHA256: 14a87a4d2d6886e6024050f7f01a28d06a2f130ca3e14d9933a9d4bcc304ca79 SHA1: 19918f72e3391b1ff5f0eb4506f1e2972b2da75b MD5sum: c8fe16aa47fe09df483a11aae022a298 Description: Debug symbols for pycharm-community-sloppy Build-Ids: 015299f292909ebb35ab1d6bdd470e9eadf8bf52 01f486724a2b2c0731d3da03baf9620d7fa3e0b6 06bf5750152818f965fb2b9a8a56b76ef3f0fd5c 06c3193d6015033dd63848f2f71723d9732dfc44 0a89f378bcee7de2dace8a6eabfe0e9a190c5ab1 0b8761fccafa5fa5a14d26359dece4d467b94bc0 0f1285faa381039c11881f14dacd057a9c19ab83 0fa25da0a4024ce56a95811f2be16aac241fa845 1c19aa5bf19ca41e5a9e82d1662cf0271d552041 1c64efe889bf8fa3d0e03833df9b41a8a7a5b939 1d1a2282079c6e92cbe6707f6ee993188852473a 1f7e9ef27190fa71ec94d5a462d127332c21b107 24b4aac17417e057ea81b3fc287842c74d4869c9 2b45be30aee2c34867e0f03ca9c1907a89f0f94d 2f5e445283dae7d61743bc5e08531432627d9cba 2fc3dc0b272867b2f559f993a5baf04cafd33a0d 411e9b2f228cc1373d836f2e119e667aef0f0ba3 4834aad26762f2cbcda04d109f0b869eb0b443c0 5e29b01c40ace080f44ca6810fb73b9b4cedc970 67ae7e52f34fcb0621ba3937e4288b314676bae2 6a01edf524a54f8bf83330a051e2d1b134ef1a3f 6c7f9241b0942896ff8898d5cc34ff8dc84f0235 6ccc063fd5a069ddf905d21b1a3235a96e43866d 7586b16c56f077f6e51277be77831ba8a15df645 7f208a59f0556e8de55e90787256d6ed60431f74 80471f36ec0145077b80612be3c63d8e3e60a40b 818c245b275894e9ba80bd9bea5129ecd1d41ec2 8593af639077833cc0b722469557b92cd51d78dd 8593af639077833cc0b722469557b92cd51d78dd 8b99d7f1e397b36107136389644cd5c4841597e0 8ba9e84048126af2fd87391de5c1cfa4e37ecea6 8f4fb4d82753dacc8f963546ee3cb19750db7c82 9430da8cd0380c8d5c12cd3f73fe02e1502252da 9b4a858f36fc6517b936431112dbd780756d3b32 9cf0ecbfe3ee91e4e2bc9812db4e41f0c7fcf3bd a645bd81ec4195db7301431c372eaa9ef4ab7155 a7612d336a525ef17252025ee1f82dfdabf5957b ab708c70bc1537d860859eed245185da33309185 b83f109a6b80bd56120e4bf8f8b7f5d1eb7b1bc8 b98f3151778ed1357acb2da19ce892a9b55f9a8b bc00f904ec2d6d818af25c88623c72eab34de501 c21d18b3d554b47d038ba6be92495ac226c5ec6c c2656de285ec749f41dce5603c47015033ab7bda c4737f3a7226086ee8af694720fbcbcf459d6a1e c51ee878ac8a58f7bd2361447cc675189857aa38 c771782b708c1b9de75a026c04facb3d01945d42 c8659e197e3a06f0e13288c075d9e1eee4e43653 c8f69f4ff062e25fb7a46d705ff8ca0155323838 ca397c9d9d46236f97fb0a2c49816b4743ded019 ce3e00304dfd2b3c665fc551edd83bad7971156d d0410c8a6c7c633b1f161cf0db50d81143368509 d25029fa5673d86077ee441a6430c0d4fadfebf8 d3b0056a89d9c0bc915fdf6f4a1f9d2f84485470 d5d09e49f7772cf6b24c5579e608d2c1e458c8ea d8a8489f4469c8ab41992360d02656d4bbd704c8 ea788791cc642c3f82f308d1a6d9b00dc1fa907c ed039021f988cdc7377cb4f65a5df1275813680b f377aa67ce98619408379a1a194c43b5e5a3a84b f526bc7181ebed2cc6d126adc4c959ff52dad257 f7d194e28877051dac2b1c7404322508c1324d60 fa6c01f8be09841ff4510a52ff3afa9b5ed3ee45 fde7feafbf78b3be34f4d7589a5ace94a2416733