Package: afni Version: 0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 38146 Depends: neurodebian-popularity-contest, afni-common (= 0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1), tcsh, gifsicle, libjpeg-progs, freeglut3, libc6 (>= 2.15), 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), libnetcdfc7, 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_0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1_amd64.deb Size: 10484952 SHA256: a93719ecf7854d6baf70a5483e8c955bbc375c480cecfe50dc2ac76e23ec1c0e SHA1: aea577a04b9463da22bfa3149c61152b4b66de3a MD5sum: 4e0c1453aeff19239b70a3d4059bec97 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: 0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13060 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_0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1_all.deb Size: 8436148 SHA256: ccd6afbea452aeb9401a13b3386bc5700b0e8f9d6186644462add1057104a550 SHA1: 363d1bc332b564ba0866191de644d75a18240c42 MD5sum: 3063bb86aab469b00fa725412182149b 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: 0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 77489 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dbg_0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1_amd64.deb Size: 15059296 SHA256: ee94111ea29514da4812c4e10b2f75294ec7d51e77b4c77bb3ee830114f27364 SHA1: 690383c43dda5f102e65ad7aab6e21c72030132e MD5sum: 4a257dda853c94e513460f6b71377a0a 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: 0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 19147 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1_amd64.deb Size: 3587920 SHA256: c0c7906bb3105cf615da02d3dfc9a0a4360c309050f1da7495437ce81bc43353 SHA1: 80432b2f2c7ea45c380409791cdc6482d02b85aa MD5sum: 8d777432eb4540b64f4a362ccaf6e5fd 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 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 6 Depends: fsl-5.0-core (>= 5.0.7-1~nd14.04+1+nd14.10+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~), fsl-5.0-gpu (>= 5.0.7-1~nd14.04+1+nd14.10+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_all.deb Size: 4086 SHA256: a69330ff67c920a665ec0911ac5c8d32bf33c7d484322b217934b8b8c6cae8ef SHA1: ca6599839c446b373805999d6f54da12a2e53fb0 MD5sum: 2871de81d5b349d32d30dd8b5150f7fe 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 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 6 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_all.deb Size: 4036 SHA256: fa7122d02b184129c00d234d99e2788e44ad55028b2a20cb49381ef4f3bf7841 SHA1: 6723abdf06ba37c5582909bde9ea802cf0c41489 MD5sum: fdeff945b0fb74a2cb2a68ea276cfe23 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~nd11.10+1+nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+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~nd11.10+1+nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 11058914 SHA256: aa6cad5d55266ce6beb6842118872e5671aecef7db641f02608779c54e26b91f SHA1: b1fe8322753026f6c9ce566f8f092f7909377b12 MD5sum: 49101e406ad8b918e21054911b629e8a 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: 8.5236~dfsg.1-1~nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1164 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), 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_all.deb Size: 172414 SHA256: 88ffe127681cd23829ce8c5782b88ccae69dd04385dd0761eca111e7bc81fae9 SHA1: 460bec91d541e6bd43fdf62be64ec32865081b89 MD5sum: 72157e01bcd2ee5fd23c610cea687703 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: pycharm-community-sloppy Version: 4.5.2-1~ndall+0 Architecture: amd64 Maintainer: Yaroslav Halchenko Installed-Size: 226097 Depends: libc6 (>= 2.4), libc6-i386 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), 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_4.5.2-1~ndall+0_amd64.deb Size: 106657360 SHA256: 29d481c202db0834a7ad2f23ad5e183ffef9e0c500229e35a55b952e86440a99 SHA1: f55a0ce48b67c80665b5070ef9e45d23229a6a1b MD5sum: 3027325a24fb622ba3f31bf0fa6333eb 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.