Package: afni Version: 16.2.07~dfsg.1-5~nd16.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 46142 Depends: neurodebian-popularity-contest, afni-common (= 16.2.07~dfsg.1-5~nd16.04+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.1-5~nd16.04+1_amd64.deb Size: 12769372 SHA256: c32a4e7a67c8e7b78be0f587d5dc612e6c89149fa7c301aec2e9ea0bc987a92c SHA1: 285eedc811f662b4fac6f3f78b19d0df78d9d208 MD5sum: c29c7583dc8dc1fbe6cb19944af018eb 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.1-5~nd16.04+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.1-5~nd16.04+1_all.deb Size: 9362346 SHA256: 9e1cb68a8cd0dffe2d034d21dfa9cb26b24f4b6f063c7faad223678259454376 SHA1: 7f1eeb67e759b22fc3f87fd02efee9628062261f MD5sum: c5a8695466c42da61712cf7e4aaa4f04 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.1-5~nd16.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 39312 Depends: neurodebian-popularity-contest, afni (= 16.2.07~dfsg.1-5~nd16.04+1) Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/debug Filename: pool/contrib/a/afni/afni-dbg_16.2.07~dfsg.1-5~nd16.04+1_amd64.deb Size: 35172978 SHA256: 9cee8053f4e4a0fb15cd501d0b2ec04e93d466e071cef4c951e24556c6bf4f62 SHA1: 5905520f23be34d3592be2699682501f053ee41a MD5sum: 05bdf426627211143aed1e55e41fcc0e 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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fccdda40d628970063707bd57fed09461fb55ba4 fedc105cfd7848d2c2270106d85881d600d3b19a ffd245d3be2ecbd26a46073794588423392270e5 Package: afni-dev Source: afni Version: 16.2.07~dfsg.1-5~nd16.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 24089 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.1-5~nd16.04+1_amd64.deb Size: 4207076 SHA256: 260600649d43bbc1910761f451283a62b60ec4afcf1b63b15766b1f167e9cb0b SHA1: 50510018a3d143f2495a536b8ae741cfd6a95fa9 MD5sum: 82ec0ba165fb55939b95c5ae95a6fb6d 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: 5.0.7-3~ndall0 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 12 Depends: fsl-5.0-core (>= 5.0.7-3~ndall0~), fsl-atlases (>= 5.0~), fsl-possum-data (>= 5.0~), fsl-first-data (>= 5.0~) Recommends: fsl-5.0-wiki (>= 5.0.7-3~ndall0~), fsl-5.0-gpu (>= 5.0.7-3~ndall0~), fslview Suggests: fsleyes Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: contrib/science Filename: pool/contrib/f/fslmeta/fsl-5.0-complete_5.0.7-3~ndall0_all.deb Size: 4014 SHA256: d524bfba85f003dc1b013013927062869d310468a1723cce2f889cd999d0ce34 SHA1: daed795276f955a9c9b179fe1b43d845b47bb799 MD5sum: 22798de378c13c9de7b0f817fa5ac257 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: 5.0.7-3~ndall0 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_5.0.7-3~ndall0_all.deb Size: 3954 SHA256: 3fc0882881b73b4868405876f3b31addd423672ccc5214e897e19c39c2978e39 SHA1: 21dcda16b2d7bccfc1898d55835f08715b747796 MD5sum: c4d1c94875389ab6b43c0d9e0189cd0a 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~nd+1+nd16.04+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~nd+1+nd16.04+1_all.deb Size: 11051824 SHA256: 4450ba1f6828f37a6c057d0632772dadeb9a5b89f75c8e74b483cf940b7f0df2 SHA1: 8bc10bf10720d41cb679ad82080a43bc9808d2b7 MD5sum: 227503b5f41fcf5153fad14c826a4cf7 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~nd+1+nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1217 Depends: neurodebian-popularity-contest, matlab-support, spm8-common (= 8.5236~dfsg.1-1~nd+1+nd16.04+1), make Provides: spm, spm8 Priority: extra Section: contrib/science Filename: pool/contrib/s/spm8/matlab-spm8_8.5236~dfsg.1-1~nd+1+nd16.04+1_all.deb Size: 171742 SHA256: 4c9f8bf1e63b3f69a51dd6b26c28924b31447a659e6452e269c99ccc9a82c54f SHA1: d703fb8473247798feeee0b36e12063317cf7ae1 MD5sum: a4a0cd800ca72c66504720f710706d7c 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: 2019.3.3-1~ndall Architecture: amd64 Maintainer: Yaroslav Halchenko Installed-Size: 716865 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_2019.3.3-1~ndall_amd64.deb Size: 297890076 SHA256: 1ee0179eec020656ad03e46d88b0ee7eda27b80419dc100c6d9d6ee592d03081 SHA1: 9096a59d29eb05af2f35840286ab2b3c33e4d3d8 MD5sum: 84ffbb693622b5e85621522198689d57 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: 2017.2.3-1~ndall Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: Yaroslav Halchenko Installed-Size: 12269 Depends: pycharm-community-sloppy (= 2017.2.3-1~ndall) Homepage: https://www.jetbrains.com/pycharm Priority: extra Section: contrib/debug Filename: pool/contrib/p/pycharm-community-sloppy/pycharm-community-sloppy-dbgsym_2017.2.3-1~ndall_amd64.deb Size: 2260976 SHA256: fe6272ee28f1750eaeb879ebacceaa591f9a9a3b6dd9bb8ef508f15ebfc9e243 SHA1: e99494c69103421b78245d0473811a9ce91d680a MD5sum: 8a88424e9b1a64b4397bb915e57ec459 Description: Debug symbols for pycharm-community-sloppy Build-Ids: 01f486724a2b2c0731d3da03baf9620d7fa3e0b6 0214b963c1ca65c49fc5e7197292a05cb2d03fa4 0762f1f314c22961989632af193316f78f03f66f 0a89f378bcee7de2dace8a6eabfe0e9a190c5ab1 0b8761fccafa5fa5a14d26359dece4d467b94bc0 0cd153f8fa9dc47b285eda77d74bf2dbe7dc62b7 11f96a903bda6dcf8db2c632076d984f4b34cb0e 1868e2e354a7f08e8404a8baa23002ebe14234fb 214d0487a9a605743ea577af5aff55942db25d71 22b0759f10d55c7e26d29a14492e11f5ef18ef34 2b2e4ee95aec65cff91b7d71af3fdde6c0b9a7ff 2f5e445283dae7d61743bc5e08531432627d9cba 349e9b8069d44bea923c4c7f728e24443501a05d 3e4e1efaa82f453b2c198d01602ef1e5d913a00a 413294a4063d9254fc53da95b63a3f6476773af6 4176fa9d5a2d851af37fbada1638f26a9ee0aada 481a45241fc30dd6a4409d6d6034579e2bfd98a8 4b7e1c8799dbe9cbbc668dfb273227f09629485d 4efd3ecaf46d5de74636e1e3f04ea1121bb4f194 5e29b01c40ace080f44ca6810fb73b9b4cedc970 67ae7e52f34fcb0621ba3937e4288b314676bae2 6c7f9241b0942896ff8898d5cc34ff8dc84f0235 6ccc063fd5a069ddf905d21b1a3235a96e43866d 6d87d1dfddf00bb71c3b87b80ee3cea5b0c8832b 74d233b22558825bcfe5c232e3b54b97e3f22657 7586b16c56f077f6e51277be77831ba8a15df645 77b472a09840bdb1d48d2b7ba525fc9a8bcffead 7b74d314f7fd079300444886a6d9347855580111 7f208a59f0556e8de55e90787256d6ed60431f74 80471f36ec0145077b80612be3c63d8e3e60a40b 852983c39838b02a69a49fa9142a8b68128e176e 8593af639077833cc0b722469557b92cd51d78dd 8593af639077833cc0b722469557b92cd51d78dd 92b398e038962a1bffb3e83657691d10ba65482c a295e70aa5b17d0eed35800188bf9f4b459db1f7 a61c13f5fc9e7ea04615bad7a22d95354cce1b08 a7612d336a525ef17252025ee1f82dfdabf5957b adc8deece73f9a55c89c2d2b8d8b9aa3271a029a b346cde7d3a5238c621c0c24d310a5970ec1a7a1 b83f109a6b80bd56120e4bf8f8b7f5d1eb7b1bc8 b8528d5040a49f5ccac22f642e20d28d26eb895d b98f3151778ed1357acb2da19ce892a9b55f9a8b bfc94b82bd5a186078d8ccf34998fd5834281b29 c4737f3a7226086ee8af694720fbcbcf459d6a1e c8659e197e3a06f0e13288c075d9e1eee4e43653 c8f69f4ff062e25fb7a46d705ff8ca0155323838 cb77f1553fefcecb1721287e3950d99532fafb50 cb8cc6cae9c7d1f5f03d0f562583f11b73e7c45e d09d6fc836ffa873a08be897a9501a2c0af644e7 d25029fa5673d86077ee441a6430c0d4fadfebf8 d4bc9e60590fdeedb3ef846af9bfdfb7765977c2 d721e8885a5107fba7d74dba804f7706bee32e3d dc21e0cac157d5e8ffd91e3e0ccc9cd0c4b4da24 e6a8633972c92254569a514de664aafa48f65ef7 e97770c27f0853ca3aa160eba8d4809c2584369e ea1e5903f64fa39ad51276402909802ccdeaee45 ed039021f988cdc7377cb4f65a5df1275813680b ee52017c1c71b322e152cb3c68e5036836a79fe7 f5a7d17a83ba3da2b17092e6538077174c2fbd4b f7d194e28877051dac2b1c7404322508c1324d60 fbbbbeed44b9c1f1cb1a26614c3c3280f3082213 fde7feafbf78b3be34f4d7589a5ace94a2416733