Package: afni Version: 0.20110610~dfsg.1-1~nd50+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 27052 Depends: neurodebian-popularity-contest, afni-common (= 0.20110610~dfsg.1-1~nd50+1), tcsh, gifsicle, libjpeg-progs, freeglut3, libc6 (>= 2.7-1), 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), libmotif3, libnetcdf4, libnifti1 (>> 1.1.0-2), libsm6, libvolpack1, libx11-6, libxext6, libxi6, libxmu6, libxt6 Recommends: nifti-bin, bzip2, ffmpeg, netpbm, python Suggests: r-base Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni_0.20110610~dfsg.1-1~nd50+1_amd64.deb Size: 11089992 SHA256: 3713b588bb0475b1c02dac80ea5f6808f1237c7210ec088bee09621d731d18ca SHA1: e3536722d830f24feb969a2644e7739dcaea7656 MD5sum: 45802861d17154bcd667787956198ae1 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: 0.20110610~dfsg.1-1~nd50+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8736 Depends: neurodebian-popularity-contest, python, tcsh Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-common_0.20110610~dfsg.1-1~nd50+1_all.deb Size: 4784236 SHA256: 42d531c90b56b7195ca424de0bf664e7f1b03a9083b3c772c57377a383d6c6fd SHA1: 720638dc0a37fc2539e919f66b3e4fb8388ef41a MD5sum: 808546ca4ce8e0d610560e892085dc4e Description: miscellaneous scripts and data files for AFNI This package provides the required architecture independent parts of AFNI. Package: afni-dev Source: afni Version: 0.20110610~dfsg.1-1~nd50+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 15528 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_0.20110610~dfsg.1-1~nd50+1_amd64.deb Size: 4007904 SHA256: c47e930db57f37e1c4ab717a0d8b19b8dcd5cc9b44ca265ee09d2f35f1b0e6d0 SHA1: c75e411c176f7f24ed28fda29fd02fa77d128880 MD5sum: 0ffb16fd192792767dccd41fd3e145f4 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: jist Version: 2.0.20100907-1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 43632 Depends: mipav, openjdk-6-jre | java6-runtime Homepage: http://www.nitrc.org/projects/jist/ Priority: extra Section: contrib/science Filename: pool/contrib/j/jist/jist_2.0.20100907-1_all.deb Size: 9644918 SHA256: 0376b7ceaec9113e993afb0b1ac8ca28582d9194e66e688c5e6fdd292b7b3f76 SHA1: 6179b926b8813118063c3324670f84bd8afbee37 MD5sum: 6bfaf3e7f542a60c863c91eb200980ac 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. . This is a version of JIST package which does not aim to be DFSG-compliant and is provided solely for the purpose of installation on elderly systems (e.g. lenny) heavily lacking necessary dependencies. Package: matlab-eeglab11 Source: eeglab11 Version: 11.0.0.0~b~dfsg.1-1~nd50+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~nd50+1_all.deb Size: 14149686 SHA256: 3f8eba0500d71e514a06e74875332df518bd4a9f0a36d9fbef672ece58b1696a SHA1: a50d70dc61263e3a3ac1c4c217be620ec143f1ea MD5sum: 764bdb5bd29463a0152bcf6731b8e18d 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-spm8 Source: spm8 Version: 8.4667~dfsg.1-1~nd50+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1360 Depends: neurodebian-popularity-contest, matlab-support, spm8-common (= 8.4667~dfsg.1-1~nd50+1), make Provides: spm, spm8 Priority: extra Section: contrib/science Filename: pool/contrib/s/spm8/matlab-spm8_8.4667~dfsg.1-1~nd50+1_all.deb Size: 233676 SHA256: bce32c8cb2304ea20375573f991910c06119245b3d1246469d61596360d6b2b7 SHA1: 74f6c6001b5fcf29117264c36c09bed851d6f90b MD5sum: a90fd4f867d6adced376dc96e8998dc3 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~nd50+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~nd50+1_all.deb Size: 28758 SHA256: 311e771042777d534e92685c1c5f72e2e089363c3e49b0851441fd5d09caebf2 SHA1: 7332d4f89c73c92f58ea33d7045995edc8ecd54b MD5sum: aa864facdc95c0386235b13fdafd0a19 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