Package: afni Version: 18.0.05+git24-gb25b21054~dfsg.1-1~nd100+1 Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 76232 Depends: neurodebian-popularity-contest, afni-common (= 18.0.05+git24-gb25b21054~dfsg.1-1~nd100+1), tcsh, gifsicle, libjpeg-progs, freeglut3, libc6 (>= 2.27), libexpat1 (>= 2.0.1), libf2c2, libgl1, libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libglw1-mesa | libglw1, libgomp1 (>= 4.9), libgsl23 (>= 2.5), libgslcblas0 (>= 2.4), libgts-0.7-5 (>= 0.7.6), libice6 (>= 1:1.0.0), libnetcdf13 (>= 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, dcm2niix Suggests: r-base, xfonts-base Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni_18.0.05+git24-gb25b21054~dfsg.1-1~nd100+1_ppc64el.deb Size: 12495260 SHA256: 4624e29832f8c3c80bc78abf08ece80b835cc270d44decd7ebd644bfaf24bd7a SHA1: ccbdd28c73f181870c71e35d5f5569edebe7994e MD5sum: 00599614fc3135268aeb14f4160d21a5 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: 18.0.05+git24-gb25b21054~dfsg.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 17627 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_18.0.05+git24-gb25b21054~dfsg.1-1~nd100+1_all.deb Size: 11204552 SHA256: 997edace926ca26c5025dcb752b6ebb6662f4c01799cdc4920445a5d2d20b790 SHA1: 92431ece1a864407f352853d5952fe6fc038e62c MD5sum: 7f07fe2d7b6fc625e13554b0593a14e7 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: 18.0.05+git24-gb25b21054~dfsg.1-1~nd100+1 Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 52869 Depends: neurodebian-popularity-contest, afni (= 18.0.05+git24-gb25b21054~dfsg.1-1~nd100+1) Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/debug Filename: pool/contrib/a/afni/afni-dbg_18.0.05+git24-gb25b21054~dfsg.1-1~nd100+1_ppc64el.deb Size: 47416996 SHA256: 913196fd4170ff9d63172a24379012f4303d0d4f3b8c0fd39bcaa2a678afcd81 SHA1: 4365444e84f8bc043c83b11989acbc0011fd8c25 MD5sum: 11a0626a04d695b7e35833fcdaafc903 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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ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 28219 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_18.0.05+git24-gb25b21054~dfsg.1-1~nd100+1_ppc64el.deb Size: 4661480 SHA256: 154e09acb9b9f4b63119f92572add4ecdaab5b8792d37754059acbc5d8fda9a4 SHA1: 8c2b4d079d732bf024f466893fe3534533d823b0 MD5sum: 323b3dea41c22f39c82f561f4e949eb0 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-gdf Source: libgdf Version: 0.1.3-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 150 Depends: neurodebian-popularity-contest, libgdf-dev (>= 0.1.3-3~nd100+1), matlab-support Homepage: https://github.com/mbillingr/libgdf Priority: optional Section: contrib/science Filename: pool/contrib/libg/libgdf/matlab-gdf_0.1.3-3~nd100+1_all.deb Size: 22240 SHA256: d204c0335fd2265bcbe1ade7afd5a9daaa995308e7b0d9d8e2da8846405e14d4 SHA1: ae24a10d3c7b47633d51a1016866b4c3dc4d4cb2 MD5sum: 7b91712e69e2a30cd13a531a17298944 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.