Package: afni Version: 16.2.07~dfsg.1-2~nd+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 46027 Depends: neurodebian-popularity-contest, afni-common (= 16.2.07~dfsg.1-2~nd+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~nd+1_amd64.deb Size: 12594460 SHA256: b92c8093b777b9e262dd45ddd7bcb6a5448097f43cf7fa7fa2cfc2d1bd67c6ac SHA1: ffbfe2749f363efeaec9a2f94ef4e2d5c5cd12de MD5sum: 66c4473d2d51debd44eb0a975bcd75e2 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~nd+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~nd+1_all.deb Size: 9347474 SHA256: 8ea95dc9585e7dc650ab2c027d2bcfa11eafb4e950b82ea804e75369b4222403 SHA1: 2b53852be5525cdba0ac7b7ef8a888b7e1ed9af6 MD5sum: af8ede1975ef8591858255bc01fe1acb 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~nd+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 42867 Depends: neurodebian-popularity-contest, afni (= 16.2.07~dfsg.1-2~nd+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~nd+1_amd64.deb Size: 38881608 SHA256: a82a99e8e4e81cb560b1b5a3b56bdda95c17d463cb304e93169629da502ebce7 SHA1: 935bd473e37aff14ba6a170b5c8892486a46fb30 MD5sum: 7f3150bf191fec626ed85bb40e9f677a 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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fe55a43b4ae3ad8eeddeb1c4ce9d1b26a5bcca76 ff6eea524ef9302fd6b5870d9992377aee92674b ff74d3c43440f1305567c66ce93272d6276af5c8 Package: afni-dev Source: afni Version: 16.2.07~dfsg.1-2~nd+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~nd+1_amd64.deb Size: 4155736 SHA256: c4af159f113918545947f28caac50d817cb62f41d53db9ef7b1d73ea174376e8 SHA1: fd69e3eef583514b395ed4774235aed1741429b4 MD5sum: a8c29d9c5491991ebefdf5c862f27bf6 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~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 29 Depends: fsl-5.0-core (>= 5.0.7-1~nd+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~nd+1~), fsl-5.0-gpu (>= 5.0.7-1~nd+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~nd+1_all.deb Size: 4010 SHA256: 93605b3367cc40a49c84809034de7069f18c4217f97032d6f737e4f42d6cc636 SHA1: 152680b0768df44c3b73d5a1389d7a1d9c03e536 MD5sum: d6c7fa1b09816fbcc2505ba21dc4d30a 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~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 29 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~nd+1_all.deb Size: 3956 SHA256: a9f6e0e0a687b02d92f0d50cec2fce28cb894db5cd93d84c8da22a5934574678 SHA1: 1160123d29da9f16d0172c8b06e2fbc9616c9c50 MD5sum: aaec989abf3ca55be4fcb31b92077b4d 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~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 40738 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~nd+1_all.deb Size: 14149348 SHA256: 455350d6a826a5abb2170ea489a354f94b384bb75512369be6c57b1329b35aea SHA1: 32131ade56b38f857b2dfa85860c626897ffc5b6 MD5sum: 2e9241791578ded3f4f447121c871aff 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~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 125 Depends: neurodebian-popularity-contest, libgdf-dev (>= 0.1.2-2~nd+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~nd+1_all.deb Size: 23790 SHA256: b34bc091b8f8bb24e8d81caf6a5b8aa81b21fc8e8ea5434581f16be1e855e957 SHA1: b994179e49c38f083c4146abed2a5db0da4149e7 MD5sum: f6ae0e84c4ed3a30669f78c256a3ba6b 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~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1251 Depends: neurodebian-popularity-contest, matlab-support, spm8-common (= 8.5236~dfsg.1-1~nd+1), make Provides: spm, spm8 Priority: extra Section: contrib/science Filename: pool/contrib/s/spm8/matlab-spm8_8.5236~dfsg.1-1~nd+1_all.deb Size: 237186 SHA256: f7dcd17bab4fc1885928bb0a40fbc09290e735b16d62f16b8ac78d01fce46d33 SHA1: f3d36f6ff78470980f15c566b180deb1e2b5ae9b MD5sum: 257e7ac8aa00035425ea9ea8bd3fc06a 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~nd+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~nd+1_all.deb Size: 31560 SHA256: 7fb2178146cf6a993aabe666e9b538e364817e07453e4d8d02fa0839a1e4c5ef SHA1: 7de0b54bbec7312223a0d59e582ff21c9e4b3e81 MD5sum: 3a6b0a7aa0bc3f22b19b1f6f7fbd07a0 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