Package: afni-atlases Source: afni-data Version: 0.20180120-1.1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 109419 Homepage: http://afni.nimh.nih.gov Priority: extra Section: science Filename: pool/main/a/afni-data/afni-atlases_0.20180120-1.1_all.deb Size: 98215048 SHA256: b7b30ce4345671d92cb08f939b76de42f81a6839abe3d47dba1db0620fe64e0c SHA1: 792d6506cc866acfa54fc71475f823e686f169f7 MD5sum: deaddf5e6992face9b5edeb62644187c Description: standard space brain atlases 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 provide AFNI's standard space brain templates in HEAD/BRIK format. Package: aghermann Version: 1.0.4-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1648 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libcairo2 (>= 1.2.4), libconfig++9, libfftw3-double3, libgcc1 (>= 1:4.1.1), libglib2.0-0 (>= 2.31.18), libgomp1 (>= 4.9), libgsl0ldbl (>= 1.9), libgtk-3-0 (>= 3.3.16), libitpp8, liblua5.2-0, libpango-1.0-0 (>= 1.14.0), libsamplerate0 (>= 0.1.7), libstdc++6 (>= 4.9), libunique-3.0-0 (>= 2.90.1), libvte-2.90-9 (>= 1:0.27.2) Suggests: edfbrowser Homepage: http://johnhommer.com/academic/code/aghermann Priority: optional Section: science Filename: pool/main/a/aghermann/aghermann_1.0.4-1~nd14.10+1_amd64.deb Size: 543904 SHA256: 831cd908edf974dbb91010c9bfefdd600be7c1071c4408163c30b84c65e9af4f SHA1: 47614eb29c6da7f15f77497d7f362878f2fa0d42 MD5sum: bad4b078d94d7a997b6248cd8371ed59 Description: Sleep-research experiment manager Aghermann is a program designed around a common workflow in sleep-research, complete with scoring facility; cairo subpixel drawing on screen or to file; conventional PSD and EEG Micrcontinuity profiles; Independent Component Analysis; artifact detection; and Process S simulation following Achermann et al, 1993. Package: ants Version: 2.1.0-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 176919 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libinsighttoolkit4.7, libstdc++6 (>= 4.9) Recommends: environment-modules Suggests: fsl, gridengine-client, r-base-core Conflicts: gpe-conf Homepage: http://www.picsl.upenn.edu/ANTS/ Priority: extra Section: science Filename: pool/main/a/ants/ants_2.1.0-1~nd14.10+1_amd64.deb Size: 25269154 SHA256: 5250a6e28ff5c8292e76ab42cbe43b5990f04c52395587cadc5d265d9c50101b SHA1: 6cca9915a4fae19f6a1bc79d8af7adf00d67544f MD5sum: b6ccff373a738947cf18256231bab5e4 Description: advanced normalization tools for brain and image analysis Advanced Normalization Tools (ANTS) is an ITK-based suite of normalization, segmentation and template-building tools for quantitative morphometric analysis. Many of the ANTS registration tools are diffeomorphic, but deformation (elastic and BSpline) transformations are available. Unique components of ANTS include multivariate similarity metrics, landmark guidance, the ability to use label images to guide the mapping and both greedy and space-time optimal implementations of diffeomorphisms. The symmetric normalization (SyN) strategy is a part of the ANTS toolkit as is directly manipulated free form deformation (DMFFD). . This package provides environment-modules configuration. Use 'module load ants' to make all cmdline tools available in your shell. Package: bats Version: 0.4.0-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: neurodebian-popularity-contest Homepage: https://github.com/sstephenson/bats Priority: optional Section: shells Filename: pool/main/b/bats/bats_0.4.0-1~nd14.04+1+nd14.10+1_all.deb Size: 14480 SHA256: 8bd04a0f09068dbf97979d9bc10c6be8a2ec6dab1712e0017d23009bce099b16 SHA1: a90462920736299be45615515d7b1d5dc0dd78a0 MD5sum: f83dea9f477048fbaabad963d2c4c32d Description: bash automated testing system Bats is a TAP-compliant testing framework for Bash. It provides a simple way to verify that the UNIX programs you write behave as expected. Bats is most useful when testing software written in Bash, but you can use it to test any UNIX program. Package: biosig-tools Source: biosig4c++ Version: 1.4.1-2~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 675 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libcholmod2.1.2, libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: science Filename: pool/main/b/biosig4c++/biosig-tools_1.4.1-2~nd14.10+1_amd64.deb Size: 243596 SHA256: 41a8fa77ceeffea5f475a36fe26b3aa21d56964ff8083d0d88616deb60d84f87 SHA1: 8d20e6e8f426dd5ae3b247a56c5a03504d94f160 MD5sum: 551bd4179676347b521148d449aab865 Description: format conversion tools for biomedical data formats Based on BioSig library, this package provides command line tools, such as . - save2gdf: converter between different file formats, including but not limited to SCP-ECG(EN1064), HL7aECG (FDA-XML), GDF, EDF, BDF, CWFB. save2gdf can be also used to upload or retrieve data from a bscs server. Package: btrbk Version: 0.20.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, perl, libdate-calc-perl, btrfs-tools (>= 3.14) Suggests: openssh-client Homepage: http://www.digint.ch/btrbk/ Priority: optional Section: utils Filename: pool/main/b/btrbk/btrbk_0.20.0-1~nd14.10+1_all.deb Size: 32946 SHA256: 54b2ca8bfba9e9658be18d776addbf85ce3b93688c4652a7e67c20f2c22f9eaa SHA1: 6635582dd60653076239ed7e1b069a08c59e980a MD5sum: 9a958e98c14ecede94095cce05294f16 Description: backup tool for btrfs volumes Backup tool for btrfs volumes, using a configuration file, allows creation of backups from multiple sources to multiple destinations at once, with ssh and configurable retention support (daily/weekly/monthly). Package: btrfs-tools Version: 4.0-2~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3368 Depends: neurodebian-popularity-contest, e2fslibs (>= 1.42), libblkid1 (>= 2.17.2), libc6 (>= 2.8), libcomerr2 (>= 1.01), liblzo2-2, libuuid1 (>= 2.16), zlib1g (>= 1:1.2.0) Homepage: http://btrfs.wiki.kernel.org/ Priority: optional Section: admin Filename: pool/main/b/btrfs-tools/btrfs-tools_4.0-2~nd14.10+1_amd64.deb Size: 483218 SHA256: c10af2389fbaa69a0b2a83840193507023268811154f540a551cc1681083e265 SHA1: d9a674696c699f94b89dd53f9a6ebee74714358b MD5sum: 86603c914a0495bd77b749bc90287261 Description: Checksumming Copy on Write Filesystem utilities Btrfs is a new copy on write filesystem for Linux aimed at implementing advanced features while focusing on fault tolerance, repair and easy administration. . This package contains utilities (mkfs, fsck) used to work with btrfs and an utility (btrfs-convert) to make a btrfs filesystem from an ext3. Package: btrfs-tools-dbg Source: btrfs-tools Version: 4.0-2~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5121 Depends: neurodebian-popularity-contest, btrfs-tools (= 4.0-2~nd14.10+1) Homepage: http://btrfs.wiki.kernel.org/ Priority: extra Section: debug Filename: pool/main/b/btrfs-tools/btrfs-tools-dbg_4.0-2~nd14.10+1_amd64.deb Size: 4151376 SHA256: f64e7843dde6d9071d9945399007a9eb589f138dccb982af1fcbbc3ede104e60 SHA1: 97d5c726c08d24083a02d158c9101395acd7de2f MD5sum: 36e499dcb7318e698bf6494b3dc02a77 Description: Checksumming Copy on Write Filesystem utilities (debug) Btrfs is a new copy on write filesystem for Linux aimed at implementing advanced features while focusing on fault tolerance, repair and easy administration. . This package contains the debugging symbols. Package: cde Version: 0.1+git9-g551e54d-1~nd13.10+1+nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1030 Depends: neurodebian-popularity-contest, libc6 (>= 2.14) Homepage: http://www.pgbovine.net/cde.html Priority: optional Section: utils Filename: pool/main/c/cde/cde_0.1+git9-g551e54d-1~nd13.10+1+nd14.04+1+nd14.10+1_amd64.deb Size: 146352 SHA256: c711971be6a66632723108869ac3f3148d2c33d189336d49b619aa1aee3f6c78 SHA1: 9a68bef44421d6241cc64b41887a98943d060d07 MD5sum: ab1955a79a1212e4aea0a65a10380a24 Description: package everything required to execute a Linux command on another computer CDEpack (Code, Data, and Environment packaging) is a tool that automatically packages up everything required to execute a Linux command on another computer without any installation or configuration. A command can range from something as simple as a command-line utility to a sophisticated GUI application with 3D graphics. The only requirement is that the other computer have the same hardware architecture (e.g., x86) and major kernel version (e.g., 2.6.X) as yours. CDEpack allows you to easily run programs without the dependency hell that inevitably occurs when attempting to install software or libraries. . Typical use cases: 1. Quickly share prototype software 2. Try out software in non-native environments 3. Perform reproducible research 4. Instantly deploy applications to cluster or cloud computing 5. Submit executable bug reports 6. Package class programming assignments 7. Easily collaborate on coding projects Package: cmtk Version: 3.2.2-1~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 25482 Depends: neurodebian-popularity-contest, libbz2-1.0, libc6 (>= 2.14), libdcmtk2 (>= 3.6.0), libfftw3-double3, libgcc1 (>= 1:4.1.1), libgomp1 (>= 4.9), libmxml1, libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.5.3), libsqlite3-0 (>= 3.5.9), libstdc++6 (>= 4.6), zlib1g (>= 1:1.1.4) Recommends: sri24-atlas Suggests: numdiff Homepage: http://www.nitrc.org/projects/cmtk/ Priority: extra Section: science Filename: pool/main/c/cmtk/cmtk_3.2.2-1~nd14.04+1+nd14.10+1_amd64.deb Size: 3734146 SHA256: aece23616f0c3e12226ccb5cc18e4180b338e13fb5eedc2700f8834ddbee21ea SHA1: 526d63aa38d013e7b1e5bdacf6a72789322d6112 MD5sum: 9230555c2719e9b42d37d5ca0b9f06db Description: Computational Morphometry Toolkit A software toolkit for computational morphometry of biomedical images, CMTK comprises a set of command line tools and a back-end general-purpose library for processing and I/O. . The command line tools primarily provide the following functionality: registration (affine and nonrigid; single and multi-channel; pairwise and groupwise), image correction (MR bias field estimation; interleaved image artifact correction), processing (filters; combination of segmentations via voting and STAPLE; shape-based averaging), statistics (t-tests; general linear regression). Package: cnrun-tools Source: cnrun Version: 2.0.1-1~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 49 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libcnrun2 (>= 2.0.0), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), libstdc++6 (>= 4.4.0) Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/cnrun-tools_2.0.1-1~nd14.04+1+nd14.10+1_amd64.deb Size: 17082 SHA256: 9befb713e7dd700b2e9f41bc277b0cf72b0d7c27962da1aebae813c9427a7220 SHA1: 218b7b8f8478d34094d069ebcf13192cca7e836e MD5sum: 145deac7a7139a32ccf332be71dbfc20 Description: NeuroML-capable neuronal network simulator (tools) CNrun is a neuronal network simulator implemented as a Lua package. This package contains two standalone tools (hh-latency-estimator and spike2sdf) that may be of interest to CNrun users. . See lua-cnrun description for extended description. Package: condor Version: 8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 21 Depends: neurodebian-popularity-contest, htcondor Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor_8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1_all.deb Size: 14700 SHA256: 16196247a8183f8d9d1fd58ef1c0c9c7067f34f00fabde9b76c7e61acf71441d SHA1: 391f0f900cb32700a98629f1484344c7880c52db MD5sum: 66f888b1c54c87fdfa5ecb64d4a09c8f Description: transitional dummy package This package aids upgrades of existing Condor installations to the new project and package name "HTCondor". The package is empty and it can safely be removed. Package: condor-dbg Source: condor Version: 8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 21 Depends: neurodebian-popularity-contest, htcondor-dbg Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor-dbg_8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1_all.deb Size: 14710 SHA256: 991111c45d3d8576ea8f515ad4d1d889d971c11d98eb41220268734d5dcf600f SHA1: be40b4b889ac57c37fe1943413351e28aa555e3e MD5sum: 6540be29947ee071a5c5a1f6392e91a1 Description: transitional dummy package This package aids upgrades of existing Condor installations to the new project and package name "HTCondor". The package is empty and it can safely be removed. Package: condor-dev Source: condor Version: 8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 21 Depends: neurodebian-popularity-contest, htcondor-dev Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor-dev_8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1_all.deb Size: 14706 SHA256: 372c9df44dfc729eeabb5f4f1f7c237c5828c1eeb6b2b479d5b23ae4ab3c5728 SHA1: 9310e96d85a5d7af152239458130423871a7f63a MD5sum: c673933a44f624b2c9c982da2be7cd95 Description: transitional dummy package This package aids upgrades of existing Condor installations to the new project and package name "HTCondor". The package is empty and it can safely be removed. Package: condor-doc Source: condor Version: 8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 21 Depends: neurodebian-popularity-contest, htcondor-doc Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor-doc_8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1_all.deb Size: 14706 SHA256: b7a81e2db3f35b8f9732d3e4cd573461879f746b87bfeba7f261ea22e1834503 SHA1: acc08b93211d0da1ff8e293e57183b8a27af7342 MD5sum: 3e2c4a8714b31a9c1ad1e780ed278b72 Description: transitional dummy package This package aids upgrades of existing Condor installations to the new project and package name "HTCondor". The package is empty and it can safely be removed. Package: connectome-workbench Version: 1.1.1-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 38471 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libftgl2 (>= 2.1.3~rc5), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libgomp1 (>= 4.9), libosmesa6 (>= 10.2~), libqt4-network (>= 4:4.5.3), libqt4-opengl (>= 4:4.7.0~beta1), libqt4-xml (>= 4:4.5.3), libqtcore4 (>= 4:4.8.0), libqtgui4 (>= 4:4.8.0), libqtwebkit4, libstdc++6 (>= 4.9), zlib1g (>= 1:1.2.3.4) Recommends: caret Suggests: ffmpeg Homepage: http://www.nitrc.org/projects/workbench/ Priority: extra Section: science Filename: pool/main/c/connectome-workbench/connectome-workbench_1.1.1-1~nd14.10+1_amd64.deb Size: 19440824 SHA256: c54c64ff680f470039d22f3885caa9e8695df5179b8a4361e94f7e1949d80147 SHA1: ad08f3fab8127c67f570654f9fcdec0c3f38c91f MD5sum: 71212a90dd3c029bd53da04bf37697f6 Description: brain visualization, analysis and discovery tool Connectome Workbench is a brain visualization, analysis and discovery tool for fMRI and dMRI brain imaging data, including functional and structural connectivity data generated by the Human Connectome Project. . Package includes wb_command, a command-line program for performing a variety of analytical tasks for volume, surface, and CIFTI grayordinates data. Package: connectome-workbench-dbg Source: connectome-workbench Version: 1.1.1-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 111057 Depends: neurodebian-popularity-contest, connectome-workbench (= 1.1.1-1~nd14.10+1) Homepage: http://www.nitrc.org/projects/workbench/ Priority: extra Section: debug Filename: pool/main/c/connectome-workbench/connectome-workbench-dbg_1.1.1-1~nd14.10+1_amd64.deb Size: 108984100 SHA256: 17413e220a9f604d124fa120635f7734251392cf535bb37cdf07b494119e43df SHA1: 8d1bce47e429bc50543c54275c279b561601e28e MD5sum: ef88d27ec72c5d2d84694435dab46024 Description: brain visualization, analysis and discovery tool -- debug symbols Connectome Workbench is a brain visualization, analysis and discovery tool for fMRI and dMRI brain imaging data, including functional and structural connectivity data generated by the Human Connectome Project. . Package includes wb_command, a command-line program for performing a variety of analytical tasks for volume, surface, and CIFTI grayordinates data. . This package contains debug symbols for the binaries. Package: datalad Version: 0.17.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 224 Depends: neurodebian-popularity-contest, python3-datalad (= 0.17.5-1~nd+1), python3-argcomplete (>= 1.12.3), python3:any Suggests: datalad-container, datalad-crawler, datalad-neuroimaging Homepage: https://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.17.5-1~nd+1_all.deb Size: 187092 SHA256: dcfab5ab31ab85c685b4439648c3095efb236b34c92eb2f870fc1376dd0dbab1 SHA1: e8a088bc96e73f10444588eede93689410943c07 MD5sum: a4020bc221d05979fe1738d432660717 Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) Package: debruijn Version: 1.6-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 151 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfftw3-double3, libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://www.cfn.upenn.edu/aguirre/wiki/public:de_bruijn_software Priority: extra Section: science Filename: pool/main/d/debruijn/debruijn_1.6-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1_amd64.deb Size: 38494 SHA256: fd15dd076fb6f07d3084881886c30dcb213f017a2296b5f83240786035f0c934 SHA1: 5c6deff96dcc9e27b54e5965f4e005c0a8ef35bc MD5sum: 5c5a3b0ed4aa266749db17a1043851e4 Description: De Bruijn cycle generator Stimulus counter-balance is important for many experimental designs. This command-line software creates De Bruijn cycles, which are pseudo-random sequences with arbitrary levels of counterbalance. "Path-guided" de Bruijn cycles may also be created. These sequences encode a hypothesized neural modulation at specified temporal frequencies, and have enhanced detection power for BOLD fMRI experiments. Package: dicomnifti Version: 2.32.1-1~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 482 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libnifti2, libstdc++6 (>= 4.9) Homepage: http://cbi.nyu.edu/software/dinifti.php Priority: optional Section: science Filename: pool/main/d/dicomnifti/dicomnifti_2.32.1-1~nd14.04+1+nd14.10+1_amd64.deb Size: 96088 SHA256: 4274ad6362384f492690405beccf2841b8c9b1e76ae920f9708346adcaec12bd SHA1: 410cfb7f44cbb58152b3bf4319bbcf52b9666ef7 MD5sum: facbf91a8a0c3179820a4597feb5c0dd Description: converts DICOM files into the NIfTI format The dinifti program converts MRI images stored in DICOM format to NIfTI format. The NIfTI format is thought to be the new standard image format for medical imaging and can be used with for example with FSL, AFNI, SPM, Caret or Freesurfer. . dinifti converts single files, but also supports fully automatic batch conversions of complete dicomdirs. Additionally, converted NIfTI files can be properly named, using image series information from the DICOM files. Package: dmtcp Version: 2.3.1-6~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2676 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.9) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: utils Filename: pool/main/d/dmtcp/dmtcp_2.3.1-6~nd14.04+1+nd14.10+1_amd64.deb Size: 659026 SHA256: 890a13ea1e7f9e70611e17167c150bfbc087c391b9ef9285240b4364d8613424 SHA1: 94f5ca2eae89f0eb680e4e3f6ec27d96a1290add MD5sum: 653cc98fce97d7249ad052e6b2f31ca5 Description: Checkpoint/Restart functionality for Linux processes DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are Open MPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package contains DMTCP binaries. Package: dmtcp-dbg Source: dmtcp Version: 2.3.1-6~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 26289 Depends: neurodebian-popularity-contest, dmtcp Homepage: http://dmtcp.sourceforge.net Priority: extra Section: debug Filename: pool/main/d/dmtcp/dmtcp-dbg_2.3.1-6~nd14.04+1+nd14.10+1_amd64.deb Size: 4419768 SHA256: 437168baf6c37f451dcddbf1747686cc641a16f78a5b308f4a9e204ea7040061 SHA1: 123eda0ec911a6d6540cb8697361b75cc37431d6 MD5sum: e58214f8528dc6767ba51cee941bfa42 Description: Debug package for dmtcp DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are Open MPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package contains debugging symbols for DMTCP. Package: eeglab11-sampledata 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: 8109 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/e/eeglab11/eeglab11-sampledata_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: 7074250 SHA256: dbcc47c654539aba1f6c35bab391a77daa74386fa9b8723eeda1d7c3c8e0bd4e SHA1: 60b98605fac58844f0402f6aa8d2fda8628d31a8 MD5sum: c44a9aaba0021a425a98a7655461a42c Description: sample EEG data for EEGLAB tutorials EEGLAB is sofwware for processing continuous or event-related EEG or other physiological data. . This package provide some tutorial data files shipped with the EEGLAB distribution. Package: freeipmi Version: 1.4.9-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd14.10+1), freeipmi-tools, freeipmi-ipmidetect, freeipmi-bmc-watchdog Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi_1.4.9-1~nd14.10+1_all.deb Size: 1238 SHA256: 7ee07a50d90cdb60d731850c73a993d86c93eb59b8e4f2ecba30e65175822756 SHA1: a978de2878ce22f9b2a75b881ff9f9c27f0f81a8 MD5sum: b58bcbe0648d8b9ea2040c1e62bdcc82 Description: GNU implementation of the IPMI protocol FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This metapackage depends on all separate modules of freeipmi. Package: freeipmi-bmc-watchdog Source: freeipmi Version: 1.4.9-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 126 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libfreeipmi16 (>= 1.1.5), freeipmi-common (= 1.4.9-1~nd14.10+1), freeipmi-tools Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-bmc-watchdog_1.4.9-1~nd14.10+1_amd64.deb Size: 45148 SHA256: e525c625af9bade54df398064a2cfdb03555cfcc450dc64f9de182db0e6a0f5d SHA1: 811f5f726810fd78dc0f312987ef9e66d2e0bcb2 MD5sum: 4cf953042ecd17e4343a3cafb672317a Description: GNU implementation of the IPMI protocol - BMC watchdog FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package contains a watchdog daemon for hardware BMC watchdogs. Package: freeipmi-common Source: freeipmi Version: 1.4.9-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 305 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest Suggests: freeipmi-tools Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-common_1.4.9-1~nd14.10+1_all.deb Size: 189268 SHA256: c6f0829c0e8b5c3291b99fa7bb49d2c111b83cfb4d2bd32388aee9f6d288b8bb SHA1: e693cf6ffa6449b508f184cf25959e3eec7d4d3a MD5sum: c8c4396d9f0b40c6bb98f8e878f8fc15 Description: GNU implementation of the IPMI protocol - common files FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package provides configuration used by the rest of FreeIPMI framework and generic documentation to orient the user. Package: freeipmi-ipmidetect Source: freeipmi Version: 1.4.9-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 106 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libfreeipmi16 (>= 1.1.5), libipmidetect0 (>= 1.1.5), freeipmi-common (= 1.4.9-1~nd14.10+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-ipmidetect_1.4.9-1~nd14.10+1_amd64.deb Size: 37894 SHA256: 46a52c46bf599219468922429132fb96156374fd4e8ca196dd2676f86ac87a4a SHA1: ed22982946da57e9c3d11be3cccec0510c58bd79 MD5sum: 962b91e22ff9f7e7c31c40e04635d93a Description: GNU IPMI - IPMI node detection tool FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package contains a tool and a daemon for detecting IPMI nodes. Package: freeipmi-ipmiseld Source: freeipmi Version: 1.4.9-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 192 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libfreeipmi16 (>= 1.4.4), freeipmi-common (= 1.4.9-1~nd14.10+1), sysvinit-utils (>= 2.88dsf-50~) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-ipmiseld_1.4.9-1~nd14.10+1_amd64.deb Size: 79264 SHA256: a8b85a3bf6f4cc29e8beff566cf33dd59aa0e75170fd89155ccdcde8fe5768cb SHA1: 05d67d01e6190df405a693ddc0b2c25fac6ae771 MD5sum: 5237c28e9be95a7b653f2cd48d978d0d Description: GNU IPMI - IPMI node detection tool FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package contains ipmiseld which takes the system event log from the BMC and imports it to syslog Package: freeipmi-tools Source: freeipmi Version: 1.4.9-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2847 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libfreeipmi16 (>= 1.4.9-1~nd14.10+1), libipmiconsole2 (>= 1.4.4), libipmidetect0 (>= 1.1.5), freeipmi-common (= 1.4.9-1~nd14.10+1) Suggests: freeipmi-ipmidetect, freeipmi-bmc-watchdog Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-tools_1.4.9-1~nd14.10+1_amd64.deb Size: 602340 SHA256: 59cba68667a90a4e05e7bb81b12af3e2683669712dcac34ea46d0f8983dfb025 SHA1: 97967329e25aaccc3b9f354b1dbbbe52ae19ad13 MD5sum: 50fbf01b689644dd165a22557eea08fb Description: GNU implementation of the IPMI protocol - tools FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package contains assorted IPMI-related tools: * bmc-config - configure BMC values * bmc-info - display BMC information * ipmi-chassis - IPMI chassis management utility * ipmi-fru - display FRU information * ipmi-locate - IPMI probing utility * ipmi-oem - IPMI OEM utility * ipmi-pet - decode Platform Event Traps * ipmi-raw - IPMI raw communication utility * ipmi-sel - display SEL entries * ipmi-sensors - display IPMI sensor information * ipmi-sensors-config - configure sensors * ipmiconsole - IPMI console utility * ipmiping - send IPMI Get Authentication Capabilitiy request * ipmipower - IPMI power control utility * pef-config - configure PEF values * rmcpping - send RMCP Ping to network hosts Package: freenect Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 12 Depends: neurodebian-popularity-contest, libfreenect-bin, libfreenect-dev, libfreenect0.5, libfreenect-doc Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/freenect_0.5.2+git6-g5455843+dfsg-1~nd14.10+1_amd64.deb Size: 8494 SHA256: 41c47ab32786bf71c14aa3fa0971143ed2cbe3b69a432f7c2ffd572837379b35 SHA1: d19efec9cc27471592e008d2846a8907bf498ed8 MD5sum: a564cc391b9f1a7d75e396c77f394c4d Description: library for accessing Kinect device -- metapackage libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This is the metapackage to install all components of the project. Package: gcalcli Version: 3.3.2-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1739 Depends: neurodebian-popularity-contest, python, python-dateutil, python-gflags, python-googleapi Recommends: gxmessage, python-parsedatetime, python-simplejson, python-vobject Homepage: https://github.com/insanum/gcalcli Priority: extra Section: utils Filename: pool/main/g/gcalcli/gcalcli_3.3.2-1~nd14.10+1_all.deb Size: 1669898 SHA256: 695748be5687783e175e808b550b0eb6cdc5ab9fdf7c4d912eece3e71bb969ac SHA1: a4fe4d292297230cc659bdb494f4e9440065e217 MD5sum: a774376dacd20f637d2a0f9b2fda9356 Description: Google Calendar Command Line Interface gcalcli is a Python application that allows you to access your Google Calendar from a command line. It's easy to get your agenda, search for events, and quickly add new events. Additionally gcalcli can be used as a reminder service to execute any application you want. Package: git-annex-remote-rclone Version: 0.5-1~ndall+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: neurodebian-popularity-contest, git-annex | git-annex-standalone, rclone Homepage: https://github.com/DanielDent/git-annex-remote-rclone Priority: optional Section: utils Filename: pool/main/g/git-annex-remote-rclone/git-annex-remote-rclone_0.5-1~ndall+1_all.deb Size: 7842 SHA256: 0b1d65c740ce1073ecdae6db121d304fe02c4bb95df552326894118a65b38319 SHA1: 34a2323c4387e61c4a69617150c463f9a7b772c5 MD5sum: 00c5a0407a998eba72d4f5eb0ad71189 Description: rclone-based git annex special remote This is a wrapper around rclone to make any destination supported by rclone usable with git-annex. . Cloud storage providers supported by rclone currently include: * Google Drive * Amazon S3 * Openstack Swift / Rackspace cloud files / Memset Memstore * Dropbox * Google Cloud Storage * Microsoft One Drive * Hubic * Backblaze B2 * Yandex Disk . Note: although Amazon Cloud Drive support is implemented, it is broken ATM see https://github.com/DanielDent/git-annex-remote-rclone/issues/22 . Package: git-annex-standalone Source: git-annex Version: 10.20241031-1~ndall+1 Architecture: amd64 Maintainer: Richard Hartmann Installed-Size: 166312 Depends: git, netbase, openssh-client Recommends: lsof, gnupg, bind9-host, yt-dlp, git-remote-gcrypt (>= 0.20130908-6), nocache, aria2 Suggests: xdot, bup, adb, tor, magic-wormhole, tahoe-lafs, libnss-mdns, uftp Conflicts: git-annex Breaks: datalad (<= 0.12.3~) Provides: git-annex Homepage: http://git-annex.branchable.com/ Priority: optional Section: utils Filename: pool/main/g/git-annex/git-annex-standalone_10.20241031-1~ndall+1_amd64.deb Size: 53000596 SHA256: 8080805f2216a629460f3b65242f5562fd0f1ac34403ca0713bb0a1e132ea172 SHA1: 01eba33bc328a2698a427d7006259343f31b4a5a MD5sum: b572f29657b3bba8053a3ec047ec2ed5 Description: manage files with git, without checking their contents into git -- standalone build git-annex allows managing large files with git, without storing the file contents in git. It can sync, backup, and archive your data, offline and online. Checksums and encryption keep your data safe and secure. Bring the power and distributed nature of git to bear on your large files with git-annex. . It can store large files in many places, from local hard drives, to a large number of cloud storage services, including S3, WebDAV, and rsync, with dozens of cloud storage providers usable via plugins. Files can be stored encrypted with gpg, so that the cloud storage provider cannot see your data. git-annex keeps track of where each file is stored, so it knows how many copies are available, and has many facilities to ensure your data is preserved. . git-annex can also be used to keep a folder in sync between computers, noticing when files are changed, and automatically committing them to git and transferring them to other computers. The git-annex webapp makes it easy to set up and use git-annex this way. . This package provides a standalone bundle build of git-annex, which should be installable on any more or less recent Debian or Ubuntu release. Package: glew-utils Source: glew Version: 1.9.0-3~bnd1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 409 Depends: neurodebian-popularity-contest, libglew1.9 (= 1.9.0-3~bnd1~nd14.10+1), libc6 (>= 2.4), libgl1-mesa-glx | libgl1, libx11-6 Replaces: libglew1.6 (<< 1.7) Homepage: http://glew.sourceforge.net Priority: optional Section: utils Filename: pool/main/g/glew/glew-utils_1.9.0-3~bnd1~nd14.10+1_amd64.deb Size: 93750 SHA256: 1bc8430f8681e290c10d9219c808ea25c8ac0a673f35bc084b3a95a4c5b9936d SHA1: ed2efa2b83f5426a654b25dd12c6c24a42fdef08 MD5sum: 7f4276546532d87ab9b48cdebd993447 Description: OpenGL Extension Wrangler - utilities For more information about GLEW please refer to the description of the libglew-dev package. . This package contains the utilities which can be used to query the supported OpenGL extensions. Package: golang-github-ncw-rclone-dev Source: rclone Version: 1.41-1~ndall0 Architecture: all Maintainer: Debian Go Packaging Team Installed-Size: 2492 Depends: golang-bazil-fuse-dev, golang-github-aws-aws-sdk-go-dev, golang-github-mreiferson-go-httpclient-dev, golang-github-ncw-go-acd-dev, golang-github-ncw-swift-dev, golang-github-pkg-errors-dev, golang-github-pkg-sftp-dev, golang-github-rfjakob-eme-dev, golang-github-skratchdot-open-golang-dev, golang-github-spf13-cobra-dev, golang-github-spf13-pflag-dev, golang-github-stacktic-dropbox-dev, golang-github-stretchr-testify-dev, golang-github-tsenart-tb-dev, golang-github-unknwon-goconfig-dev, golang-github-vividcortex-ewma-dev, golang-golang-x-crypto-dev, golang-golang-x-net-dev, golang-golang-x-oauth2-google-dev, golang-golang-x-sys-dev, golang-golang-x-text-dev, golang-google-api-dev Homepage: https://github.com/ncw/rclone Priority: optional Section: devel Filename: pool/main/r/rclone/golang-github-ncw-rclone-dev_1.41-1~ndall0_all.deb Size: 399416 SHA256: 528b53f3312375d31d5cebb95472a57272cf242e14a92cfdf99c45be2ff5511d SHA1: 75f8871fd668e815023267a857b37ad60b9d1c2f MD5sum: a87865eafe10185420838e2e4ffd7b55 Description: go source code of rclone Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers. . This package contains rclone's source code. Package: htcondor Source: condor Version: 8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 14724 Depends: neurodebian-popularity-contest, debconf (>= 0.5) | debconf-2.0, libc6 (>= 2.15), libcgroup1 (>= 0.37.1), libclassad7, libcomerr2 (>= 1.01), libcurl3 (>= 7.16.2), libexpat1 (>= 2.0.1), libgcc1 (>= 1:4.1.1), libglobus-callout0 (>= 2), libglobus-common0 (>= 14), libglobus-ftp-client2 (>= 7), libglobus-gass-transfer2 (>= 7), libglobus-gram-client3 (>= 12), libglobus-gram-protocol3 (>= 11), libglobus-gsi-callback0 (>= 4), libglobus-gsi-cert-utils0 (>= 8), libglobus-gsi-credential1 (>= 6), libglobus-gsi-openssl-error0 (>= 2), libglobus-gsi-proxy-core0 (>= 6), libglobus-gsi-proxy-ssl1 (>= 4), libglobus-gsi-sysconfig1 (>= 5), libglobus-gss-assist3 (>= 9), libglobus-gssapi-error2 (>= 4), libglobus-gssapi-gsi4 (>= 10), libglobus-io3 (>= 9), libglobus-openssl-module0 (>= 3), libglobus-rsl2 (>= 9), libglobus-xio0 (>= 3), libgsoap5, libgssapi-krb5-2 (>= 1.6.dfsg.2), libk5crypto3 (>= 1.6.dfsg.2), libkrb5-3 (>= 1.10+dfsg~), libkrb5support0 (>= 1.7dfsg~beta2), libldap-2.4-2 (>= 2.4.7), libpcre3, libssl1.0.0 (>= 1.0.0), libstdc++6 (>= 4.9), libuuid1 (>= 2.16), libvirt0 (>= 0.5.0), libx11-6, zlib1g (>= 1:1.1.4), python, perl, adduser, libdate-manip-perl Recommends: dmtcp Suggests: coop-computing-tools Breaks: condor (<< 8.0.5~) Replaces: condor (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: science Filename: pool/main/c/condor/htcondor_8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1_amd64.deb Size: 4127798 SHA256: 12d1257fa2967f82e2c863bc1a90d350d96134ccdd694181636dab8f826ea83d SHA1: d55ef7341bb2ce014ce67aa401ac78a48c9577c8 MD5sum: 8444e8f5f326a2c1f4ffb0f8dce497c5 Description: distributed workload management system Like other full-featured batch systems, HTCondor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package can set up an appropriate initial configuration at install time for a machine intended either as a member of an existing HTCondor pool or as a "Personal" (single machine) HTCondor pool. Package: htcondor-dbg Source: condor Version: 8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 35447 Depends: neurodebian-popularity-contest, htcondor (= 8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1) Breaks: condor-dbg (<< 8.0.5~) Replaces: condor-dbg (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: debug Filename: pool/main/c/condor/htcondor-dbg_8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1_amd64.deb Size: 33292372 SHA256: f296bf49b474bb92138be4f359e6fcbbecc1c6642e0e60bbc4b16fb49af7989e SHA1: 3972c5b0fe50a467db596ebc94e7cecf3b0495ce MD5sum: 2708445c8ac56426cd6fa04de6d1281f Description: distributed workload management system - debugging symbols Like other full-featured batch systems, HTCondor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package provides the debugging symbols for HTCondor. Package: htcondor-dev Source: condor Version: 8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 1439 Depends: neurodebian-popularity-contest Breaks: condor-dev (<< 8.0.5~) Replaces: condor-dev (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: devel Filename: pool/main/c/condor/htcondor-dev_8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1_amd64.deb Size: 267558 SHA256: d72f68ab3e490357db1eb147de545cd807d0c977262b18dc9b7647cbd5b523fe SHA1: 3afae123d591dd02152102825c063869671f175d MD5sum: 3dbb9385e12e64aa02661f5f136ba851 Description: distributed workload management system - development files Like other full-featured batch systems, HTCondor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package provides headers and libraries for development of HTCondor add-ons. Package: htcondor-doc Source: condor Version: 8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 5570 Depends: neurodebian-popularity-contest Breaks: condor-doc (<< 8.0.5~) Replaces: condor-doc (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: doc Filename: pool/main/c/condor/htcondor-doc_8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1_all.deb Size: 1016992 SHA256: 1a98a6781d620c61ae372de5c77c509354226bf21676a544e1da2a802f10fc6d SHA1: 11bb6b004200e33ed4593e0c89ada66563ffbda6 MD5sum: 4c1d926e852baf591f3807e0aaf0883d Description: distributed workload management system - documentation Like other full-featured batch systems, HTCondor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package provides HTCondor's documentation in HTML and PDF format, as well as configuration and other examples. Package: incf-nidash-oneclick-clients Source: incf-nidash-oneclick Version: 2.0-1~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: 28 Depends: neurodebian-popularity-contest, python (>= 2.5.0), python-dicom, dcmtk, python-httplib2 Homepage: http://xnat.incf.org/ Priority: extra Section: science Filename: pool/main/i/incf-nidash-oneclick/incf-nidash-oneclick-clients_2.0-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 9256 SHA256: 30230789a6350ff5d79a299e2bd6586dfa41a47846e852fcc69bd7212def7cbc SHA1: 0c9eacc13dbe8664d76ac03761a9b3463ab9e5e1 MD5sum: 5b9839355d2c7a8af60c773bbe37963d Description: utility for pushing DICOM data to the INCF datasharing server A command line utility for anonymizing and sending DICOM data to the XNAT image database at the International Neuroinformatics Coordinating Facility (INCF). This tool is maintained by the INCF NeuroImaging DataSharing (NIDASH) task force. Package: insighttoolkit4-examples Source: insighttoolkit4 Version: 4.7.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2836 Depends: neurodebian-popularity-contest Suggests: libinsighttoolkit4-dev Conflicts: insighttoolkit-examples Replaces: insighttoolkit-examples Homepage: http://www.itk.org/ Priority: optional Section: devel Filename: pool/main/i/insighttoolkit4/insighttoolkit4-examples_4.7.0-1~nd14.10+1_all.deb Size: 2500536 SHA256: ee50657c5f25f4548e3a5b6900ae179ae257038d0f7115aeeef25338157a6f23 SHA1: bad8f77f88b1c1c304e900a1a1bb0b2c64de6122 MD5sum: dab9e84b04f9d8e6db5158e35f74b017 Description: Image processing toolkit for registration and segmentation - examples ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the source for example programs. Package: insighttoolkit4-python Source: insighttoolkit4 Version: 4.7.0-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 874436 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libfftw3-double3, libfftw3-single3, libgcc1 (>= 1:4.1.1), libgdcm2.2, libinsighttoolkit4.7, libpython2.7 (>= 2.7), libstdc++6 (>= 4.9) Conflicts: insighttoolkit-python Replaces: insighttoolkit-python Homepage: http://www.itk.org/ Priority: optional Section: python Filename: pool/main/i/insighttoolkit4/insighttoolkit4-python_4.7.0-1~nd14.10+1_amd64.deb Size: 74510510 SHA256: e678814f2ef7d74160308d5862f43e8b316c8b1e49fe2c43f96ac9711cd97c2d SHA1: d5637d3cd2dd1757580988bcbe8790a153e65b51 MD5sum: 9ea26c456e18b2ebf0aef31a967746d0 Description: Image processing toolkit for registration and segmentation - Python bindings ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the Python bindings. Package: libbiosig-dev Source: biosig4c++ Version: 1.4.1-2~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1751 Depends: neurodebian-popularity-contest, libbiosig1 (= 1.4.1-2~nd14.10+1) Homepage: http://biosig.sf.net/ Priority: extra Section: libdevel Filename: pool/main/b/biosig4c++/libbiosig-dev_1.4.1-2~nd14.10+1_amd64.deb Size: 303170 SHA256: 817fb2ec62fc3f8ceede1f655cb8c9b2d5295111552860ca07b38bc7b9bec256 SHA1: f5c71b6aa0847d0da9fa78be94834ced0253714d MD5sum: fc6494561d03c8f8cd503deba6d242e3 Description: I/O library for biomedical data - development files BioSig is a library for accessing files in several biomedical data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://pub.ist.ac.at/~schloegl/biosig/TESTED . . This package provides header files and static library. Package: libbiosig1 Source: biosig4c++ Version: 1.4.1-2~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 922 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://biosig.sf.net/ Priority: extra Section: libs Filename: pool/main/b/biosig4c++/libbiosig1_1.4.1-2~nd14.10+1_amd64.deb Size: 280456 SHA256: 9c51149e5dccb294f43fb33d3d977003a26bf0c0b7b9e0ce32c89f3de4269e5d SHA1: d0b589b112c2d9b16613a2302f639b54628689f2 MD5sum: ae7016a60146f8f0e07e47d73e231806 Description: I/O library for biomedical data - dynamic library BioSig is a library for accessing files in several biomedical data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://pub.ist.ac.at/~schloegl/biosig/TESTED . . This package provides dynamic library. Package: libbiosig1-dbg Source: biosig4c++ Version: 1.4.1-2~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 333 Depends: neurodebian-popularity-contest, libbiosig1 (= 1.4.1-2~nd14.10+1) Homepage: http://biosig.sf.net/ Priority: extra Section: debug Filename: pool/main/b/biosig4c++/libbiosig1-dbg_1.4.1-2~nd14.10+1_amd64.deb Size: 65420 SHA256: 618c22ac2251e34392fd50bf1ffa788bf299bedd8308b18a70b10f61d86bcbff SHA1: 3db9bcdbebe15c75887bd4cd047b33b38cd0bb48 MD5sum: 9e23e6aa1351d792e8f4fb0c077fc594 Description: I/O library for biomedical data - debug symbols BioSig is a library for accessing files in several biomedical data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://pub.ist.ac.at/~schloegl/biosig/TESTED . . This package provides debug symbols. Package: libclassad-dev Source: condor Version: 8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 1409 Depends: neurodebian-popularity-contest, libclassad7 (= 8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1) Conflicts: libclassad0-dev Replaces: libclassad0-dev Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: libdevel Filename: pool/main/c/condor/libclassad-dev_8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1_amd64.deb Size: 247432 SHA256: b966ea5fbffc440fa9c21ceea51fe920a83b6ed5e8aceae627b5b6f98a89c9e8 SHA1: bbe8efcffdda6668af17e99426727576dd1fe42e MD5sum: 869c7cf32a2f13c8d90cdc11301283e9 Description: HTCondor classads expression language - development library Classified Advertisements (classads) are the lingua franca of HTCondor, used for describing jobs, workstations, and other resources. There is a protocol for evaluating whether two classads match, which is used by the HTCondor central manager to determine the compatibility of jobs, and workstations where they may be run. . This package provides the static library and header files. Package: libclassad7 Source: condor Version: 8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 581 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libpcre3, libstdc++6 (>= 4.9) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: libs Filename: pool/main/c/condor/libclassad7_8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1_amd64.deb Size: 195874 SHA256: 9691ed59dfc136b5344159bb774824512bf6d76946c57d871a417e61e4df80c8 SHA1: 2776555b470a92a7e28da1c1f87f04a7141895ca MD5sum: e7f0c5ed572d8fb1a62bb4fa4a095941 Description: HTCondor classads expression language - runtime library Classified Advertisements (classads) are the lingua franca of HTCondor, used for describing jobs, workstations, and other resources. There is a protocol for evaluating whether two classads match, which is used by the HTCondor central manager to determine the compatibility of jobs, and workstations where they may be run. . This package provides the runtime library. Package: libcnrun2 Source: cnrun Version: 2.0.1-1~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 268 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), libstdc++6 (>= 4.6), libxml2 (>= 2.7.4) Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/libcnrun2_2.0.1-1~nd14.04+1+nd14.10+1_amd64.deb Size: 80012 SHA256: 79f74ef8eda68f5d14c0ab6942d22ee5d96857fca3c1e03c202a852c1c833570 SHA1: 5b2c5ce913eb0e353c739605958e297637a8249b MD5sum: 10e86b2081a99b9a178a4e730b0cce5a Description: NeuroML-capable neuronal network simulator (shared lib) CNrun is a neuronal network simulator implemented as a Lua package. This package contains shared libraries. . See lua-cnrun description for extended description. Package: libcnrun2-dev Source: cnrun Version: 2.0.1-1~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 110 Depends: neurodebian-popularity-contest, libcnrun2 (= 2.0.1-1~nd14.04+1+nd14.10+1) Suggests: pkg-config Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: libdevel Filename: pool/main/c/cnrun/libcnrun2-dev_2.0.1-1~nd14.04+1+nd14.10+1_amd64.deb Size: 21100 SHA256: 23e7ee93128e4982b4c5413105bcaacbaa1ddfc3e8e4fc88d5fe442b18ae041f SHA1: 1542355f7e77836bf2bce7bfe9bad79b400195fb MD5sum: 19633e675f39d0674f7b7672390b26a9 Description: NeuroML-capable neuronal network simulator (development files) CNrun is a neuronal network simulator implemented as a Lua package. This package contains development files. . See lua-licnrun description for extended description. Package: libfreeipmi-dev Source: freeipmi Version: 1.4.9-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 7705 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd14.10+1), libfreeipmi16 (= 1.4.9-1~nd14.10+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libfreeipmi-dev_1.4.9-1~nd14.10+1_amd64.deb Size: 916688 SHA256: 9f62f1200a412e0188e44d328ab5b405ecff73458266f5ae86d174dc8a09206d SHA1: d4ba746e82d2432c622414e1ac2b774db0a18212 MD5sum: 8a0cbe6f3a66767ea0c0f4040e788dae Description: GNU IPMI - development package FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This is the development package for libfreeipmi. Package: libfreeipmi16 Source: freeipmi Version: 1.4.9-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5057 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcrypt11 (>= 1.5.1), freeipmi-common (= 1.4.9-1~nd14.10+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libfreeipmi16_1.4.9-1~nd14.10+1_amd64.deb Size: 823598 SHA256: 646a958c1af184ca6e1045f3b8eb4c918f5a4ead90b515351bf9e867dcd26e8c SHA1: 0adaac41c76247f6b29149249c51b22b7aca4e1b MD5sum: 1f173443c344562f2e6fcd4eccec9b94 Description: GNU IPMI - libraries FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . OpenIPMI, KCS, SMIC, SSIF, LAN drivers, and an IPMI API in a C Library. Package: libfreenect-bin Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 248 Depends: neurodebian-popularity-contest, freeglut3, libc6 (>= 2.14), libfreenect0.5 (>= 1:0.5.2), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 4.4.0) Breaks: libfreenect-demos (<< 1:0.1.2+dfsg-1) Replaces: libfreenect-demos (<< 1:0.1.2+dfsg-1) Homepage: http://openkinect.org/ Priority: extra Section: utils Filename: pool/main/libf/libfreenect/libfreenect-bin_0.5.2+git6-g5455843+dfsg-1~nd14.10+1_amd64.deb Size: 55082 SHA256: add6b4fefaf081ea706ddec53015c12a22c5f3b7eee0b983e7f38301081a31bd SHA1: 1b088983a46757e8dd47701b66520a5dda9d97bc MD5sum: 65b2c7a1e6ea2513754d9d3908113e9c Description: library for accessing Kinect device -- utilities and samples libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package includes utilities and sample programs for kinect. Package: libfreenect-demos Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 12 Depends: neurodebian-popularity-contest, libfreenect-bin Homepage: http://openkinect.org/ Priority: extra Section: libdevel Filename: pool/main/libf/libfreenect/libfreenect-demos_0.5.2+git6-g5455843+dfsg-1~nd14.10+1_amd64.deb Size: 8536 SHA256: 43392a7225b4524804a4a8b99474d03ca0047fbd37747be75bfe173ee86349e0 SHA1: 993d4717bb8f6249162a23605c142342e52afee5 MD5sum: d53b02fcc924d1718508b6579994cf19 Description: library for accessing Kinect device -- dummy package libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package is a metapackage to do the transition from libfreenect-demos to libfreenect-bin. This package can be removed after installation. Package: libfreenect-dev Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 62 Depends: neurodebian-popularity-contest, libfreenect0.5 (= 1:0.5.2+git6-g5455843+dfsg-1~nd14.10+1), libusb-1.0-0-dev (>= 1.0.18~) Multi-Arch: same Homepage: http://openkinect.org/ Priority: extra Section: libdevel Filename: pool/main/libf/libfreenect/libfreenect-dev_0.5.2+git6-g5455843+dfsg-1~nd14.10+1_amd64.deb Size: 19292 SHA256: 984f575bb989df1ddb5231f60fca4a8087d17ad720895c5ec2664a6607737957 SHA1: 26e8f84b7958e2f18a7882a35df103adebb50ff2 MD5sum: 6399700eeb8db56df0c675ab1613e7ca Description: library for accessing Kinect device -- development files libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This is the development package containing the libraries and header for software development with libfreenect. Package: libfreenect-doc Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 647 Depends: neurodebian-popularity-contest Multi-Arch: foreign Homepage: http://openkinect.org/ Priority: extra Section: doc Filename: pool/main/libf/libfreenect/libfreenect-doc_0.5.2+git6-g5455843+dfsg-1~nd14.10+1_all.deb Size: 90102 SHA256: 6ea272e5df38a1d119dd40b1ccbd9dadc66d72519bdede8a624d265c73cb922e SHA1: 3563a980547ef7dba79d7081b198c5fe05179d12 MD5sum: abbd5557ecf46a61fcc6107c0d0eec63 Description: library for accessing Kinect device -- documentation libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package contains the documentation of the API of libfreenect. Package: libfreenect0.1 Source: libfreenect Version: 1:0.1.2+dfsg-6~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 95 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libusb-1.0-0 (>= 2:1.0.8) Conflicts: libfreenect Multi-Arch: same Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/libfreenect0.1_0.1.2+dfsg-6~nd14.04+1+nd14.10+1_amd64.deb Size: 31418 SHA256: 4d2dcad43073cb9162f3f3ffbce81bcf8a3a30d3df6b70fb294a68011bde8828 SHA1: 8fca0db0d87957e57121a64a01a4af9c83e1afc8 MD5sum: a2315645cd8a6c2c2f5d7ffdc109e9ce Description: library for accessing Kinect device libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package contains the shared library of libfreenect. Package: libfreenect0.5 Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 107 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libusb-1.0-0 (>= 2:1.0.12) Conflicts: libfreenect Multi-Arch: same Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/libfreenect0.5_0.5.2+git6-g5455843+dfsg-1~nd14.10+1_amd64.deb Size: 42168 SHA256: 0c188d54d92de15918ae9e35bc5295c91686e3c2c92927491f4e1c9e56c7ddee SHA1: 470d91c810da984262eaae954a201128252335e7 MD5sum: 5b40d628b2dbdaff7cb1f4afc6a45ac0 Description: library for accessing Kinect device libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package contains the shared library of libfreenect. Package: libglew1.9 Source: glew Version: 1.9.0-3~bnd1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 620 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgl1-mesa-glx | libgl1 Suggests: glew-utils Conflicts: libglew1 Multi-Arch: same Homepage: http://glew.sourceforge.net Priority: optional Section: libs Filename: pool/main/g/glew/libglew1.9_1.9.0-3~bnd1~nd14.10+1_amd64.deb Size: 134712 SHA256: 750f4be972a5f901080f84b347017129cd5984a52dafa036dd8033b59ee4b459 SHA1: ad549f43b9af13f1ddb8fb1f3be9d280076ffcb1 MD5sum: 46f3c5ad0e452b4204a74e9794aba194 Description: OpenGL Extension Wrangler - runtime environment For more information about GLEW please refer to the description of the libglew-dev package. . This package contains the runtime support files. Package: libglew1.9-dbg Source: glew Version: 1.9.0-3~bnd1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 149 Depends: neurodebian-popularity-contest, libglew1.9 (= 1.9.0-3~bnd1~nd14.10+1) Homepage: http://glew.sourceforge.net Priority: extra Section: debug Filename: pool/main/g/glew/libglew1.9-dbg_1.9.0-3~bnd1~nd14.10+1_amd64.deb Size: 33534 SHA256: e0a241ed6502d65dc7c4d1b464de3f770896153c85a03bfa17e19880c67095e6 SHA1: dcf8d1b85c9bea6c36b4caa85a3ac4934839362a MD5sum: e7ad3b3706c935945e2fdb3c303564c9 Description: OpenGL Extension Wrangler (debugging symbols) The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry (http://www.opengl.org/registry). . This package contains the debugging symbols for libglew1.9. Package: libglew1.9-dev Source: glew Version: 1.9.0-3~bnd1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1000 Depends: neurodebian-popularity-contest, libgl1-mesa-dev | libgl-dev, libglew1.9 (= 1.9.0-3~bnd1~nd14.10+1), libglu1-mesa-dev | libglu-dev Conflicts: libglew-dev, libglew1.6-dev Provides: libglew1.5-dev, libglew1.6-dev Multi-Arch: same Homepage: http://glew.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/g/glew/libglew1.9-dev_1.9.0-3~bnd1~nd14.10+1_amd64.deb Size: 109618 SHA256: 5d268f7e06c69a64071eb94ad0d5903fd9a5986617ada2916e8a9443c420ab9f SHA1: 1f469ea2b731d9197ced4dd56a70ea1334c17c4c MD5sum: 47f3567d7f2287f05b9f5ae9d27c582c Description: OpenGL Extension Wrangler - development environment The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry (http://www.opengl.org/registry). . This package contains the development documentation as well as the required header files. Package: libglewmx1.9 Source: glew Version: 1.9.0-3~bnd1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 547 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgl1-mesa-glx | libgl1 Conflicts: libglew1 Multi-Arch: same Homepage: http://glew.sourceforge.net Priority: optional Section: libs Filename: pool/main/g/glew/libglewmx1.9_1.9.0-3~bnd1~nd14.10+1_amd64.deb Size: 117158 SHA256: 6895992aa50397b64667bcce62a04817e8caf524383324fd207fcc09aef220a3 SHA1: ec65eb60df79eff31be84c0bf9a98e1dd4153069 MD5sum: ee676704caa24517cc45bb6545f3be91 Description: OpenGL Extension Wrangler (Multiple Rendering Contexts) For more information about GLEW please refer to the description of the libglewmx-dev package. . This package contains the runtime support files, built with GLEW_MX option, adding support for thread-safe usage of multiple rendering contexts. Package: libglewmx1.9-dbg Source: glew Version: 1.9.0-3~bnd1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 122 Depends: neurodebian-popularity-contest, libglewmx1.9 (= 1.9.0-3~bnd1~nd14.10+1) Homepage: http://glew.sourceforge.net Priority: extra Section: debug Filename: pool/main/g/glew/libglewmx1.9-dbg_1.9.0-3~bnd1~nd14.10+1_amd64.deb Size: 27062 SHA256: 09623bb9fb79e7e46ee81478bbca1693811322d27d62e34032ce4490af4b22c0 SHA1: 1cdd98328b3eeb9f06103aeb82fefa8957b45939 MD5sum: 126940695b6dbd25d577391328bef9f8 Description: OpenGL Extension Wrangler MX (debugging symbols) The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry (http://www.opengl.org/registry). . This package contains the debugging symbols for libglewmx1.9. Package: libglewmx1.9-dev Source: glew Version: 1.9.0-3~bnd1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 12 Depends: neurodebian-popularity-contest, libglew1.9-dev, libglewmx1.9 (= 1.9.0-3~bnd1~nd14.10+1) Conflicts: libglewmx-dev, libglewmx1.6-dev Provides: libglewmx1.5-dev, libglewmx1.6-dev Multi-Arch: same Homepage: http://glew.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/g/glew/libglewmx1.9-dev_1.9.0-3~bnd1~nd14.10+1_amd64.deb Size: 8526 SHA256: 4b5ffb883f3acbb686a5f78723c44dd8694ec797cc520952e2fa202952dd772b SHA1: 4f754beff99fbdcf2ff36b86a54965ea9fc4b2bb MD5sum: 79358763118f5d87fe784685bcc30846 Description: OpenGL Extension Wrangler MX - development environment The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry (http://www.opengl.org/registry). . This package contains the development libraries compiled with GLEW_MX. Package: libinsighttoolkit4-dbg Source: insighttoolkit4 Version: 4.7.0-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 41925 Depends: neurodebian-popularity-contest, libinsighttoolkit4.7 (= 4.7.0-1~nd14.10+1) Homepage: http://www.itk.org/ Priority: extra Section: debug Filename: pool/main/i/insighttoolkit4/libinsighttoolkit4-dbg_4.7.0-1~nd14.10+1_amd64.deb Size: 37244896 SHA256: ddbe2abaa7689bb6f7968a0c0297855edc340d50a0980f6e2ea2b3e9998e3dc4 SHA1: 39bf5f93d14b60adcf49f136ddff1ee685930cd1 MD5sum: 80726bb7b3dbb4ce56de4517a999aa60 Description: Debugging information for the Insight Toolkit ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the debug files of the libraries. Package: libinsighttoolkit4-dev Source: insighttoolkit4 Version: 4.7.0-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 25375 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libinsighttoolkit4.7 (= 4.7.0-1~nd14.10+1), libstdc++6 (>= 4.9), libgdcm2-dev, libdcmtk2-dev, libhdf5-dev Recommends: libfftw3-dev, uuid-dev Suggests: insighttoolkit4-examples Conflicts: libinsighttoolkit-dev, libinsighttoolkit3-dev Replaces: libinsighttoolkit-dev Homepage: http://www.itk.org/ Priority: optional Section: libdevel Filename: pool/main/i/insighttoolkit4/libinsighttoolkit4-dev_4.7.0-1~nd14.10+1_amd64.deb Size: 2958350 SHA256: 719d03798b427c83dd45aaf9a82c2a9d249771afdf755fd2fb37a35dbc1b2416 SHA1: cfc8b20f4b73e1312202570658f25e3df93e3819 MD5sum: 12710cca96240352820378f64cdda93f Description: Image processing toolkit for registration and segmentation - development ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the development files needed to build your own ITK applications. Package: libinsighttoolkit4.7 Source: insighttoolkit4 Version: 4.7.0-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 23432 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libfftw3-double3, libfftw3-single3, libgcc1 (>= 1:4.1.1), libgdcm2.2, libhdf5-7, libhdf5-cpp-7 (>= 1.8.12), libjpeg8 (>= 8c), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.9), libtiff5 (>= 4.0.3), zlib1g (>= 1:1.2.3.4) Homepage: http://www.itk.org/ Priority: optional Section: libs Filename: pool/main/i/insighttoolkit4/libinsighttoolkit4.7_4.7.0-1~nd14.10+1_amd64.deb Size: 4675514 SHA256: 6edd09b99a3304fdd9dfe6c49af200db7e79a04cd9f5388744d3f01f43cb7a6f SHA1: 3539fc454db6cf61f6f812af6efaf2955a706e89 MD5sum: e64ff5846ce424896561bdc307b944e9 Description: Image processing toolkit for registration and segmentation - runtime ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the libraries needed to run ITK applications. Package: libipmiconsole-dev Source: freeipmi Version: 1.4.9-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 504 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd14.10+1), libipmiconsole2 (= 1.4.9-1~nd14.10+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmiconsole-dev_1.4.9-1~nd14.10+1_amd64.deb Size: 101858 SHA256: 7869efc21288b418b2c8d3e517f0c705cbd7475f60fcfc5b1e00e4afd7dc8f77 SHA1: ed758acb0f12378ada8bc25a8bd6bc2f65a433a3 MD5sum: d7e9545a0196c0f636d8588aee76dd06 Description: GNU IPMI - ipmiconsole development package FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This is the development package for libipmiconsole. Package: libipmiconsole2 Source: freeipmi Version: 1.4.9-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 250 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libfreeipmi16 (>= 1.4.4), freeipmi-common (= 1.4.9-1~nd14.10+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmiconsole2_1.4.9-1~nd14.10+1_amd64.deb Size: 86072 SHA256: df3fb6e824041904bb0a3f9b9e8d98208585bea88708abbd4d9323d2b11ff16d SHA1: 5f1a17ca47d4e2560d19ff57a8cbc13310afefc6 MD5sum: c4b9926993b1e39b2bab46a04a645aa6 Description: GNU IPMI - Serial-over-Lan library FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . A library for Serial-over-Lan (SOL). Package: libipmidetect-dev Source: freeipmi Version: 1.4.9-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 105 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd14.10+1), libipmidetect0 (= 1.4.9-1~nd14.10+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmidetect-dev_1.4.9-1~nd14.10+1_amd64.deb Size: 31676 SHA256: aff1cdfefe549252f323c6f314df7b2effc20e6eca60e6d90dc12c841115f0e6 SHA1: 58516df75b3619a041318c9057317cafab767832 MD5sum: 248fd21f1aef14e91f7ed7fd003239be Description: GNU IPMI - ipmidetect development package FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This is the development package for libipmidetect. Package: libipmidetect0 Source: freeipmi Version: 1.4.9-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 60 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), freeipmi-common (= 1.4.9-1~nd14.10+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmidetect0_1.4.9-1~nd14.10+1_amd64.deb Size: 25676 SHA256: ca545f205661dcefa43de15b241f51c96bc8a980caca07428af5de19df82a24a SHA1: d6385749195499e9e3dfa6de3a1f3946c6d2162b MD5sum: e88e6920eb43e282d218a135da7d80a1 Description: GNU IPMI - IPMI node detection library FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . A library for IPMI node detection. Package: libipmimonitoring-dev Source: freeipmi Version: 1.4.9-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 308 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd14.10+1), libipmimonitoring5a (= 1.4.9-1~nd14.10+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmimonitoring-dev_1.4.9-1~nd14.10+1_amd64.deb Size: 61706 SHA256: 56fc998facb79ace9fa93ac4d5b9de18c1e0e9bd1f241b664603da871037d69a SHA1: fa418d8ceda13fe663be9a67eb8055cc3007d7ec MD5sum: e0056f20c068cbe67d8bfe930bae5309 Description: GNU IPMI - ipmimonitoring development package FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This is the development package for libipmimonitoring. Package: libipmimonitoring5a Source: freeipmi Version: 1.4.9-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 119 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libfreeipmi16 (>= 1.4.4), freeipmi-common (= 1.4.9-1~nd14.10+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmimonitoring5a_1.4.9-1~nd14.10+1_amd64.deb Size: 43476 SHA256: 303891e88a0dfcdb92f8871faf90d046ad49fa78ab16fee66c7a458f003c710e SHA1: 61d5dcc8a9249ff1dec0b2823d4daab6e28a1d15 MD5sum: 997c4367576927e749c9bb3daa72bfef Description: GNU IPMI - Sensor monitoring library FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . A library for sensor monitoring. Package: libmia-2.0-8 Source: mia Version: 2.0.13-1~nd13.10+1+nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 25121 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libboost-filesystem1.55.0, libboost-regex1.55.0, libboost-serialization1.55.0, libboost-system1.55.0, libboost-test1.55.0, libc6 (>= 2.14), libdcmtk2 (>= 3.6.0), libfftw3-single3, libgcc1 (>= 1:4.1.1), libglib2.0-0 (>= 2.12.0), libglibmm-2.4-1c2a (>= 2.42.0), libgsl0ldbl (>= 1.9), libgts-0.7-5 (>= 0.7.6), libitpp8, libjpeg8 (>= 8c), libnlopt0 (>= 2.3), libopenexr6 (>= 1.6.1), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.9), libtbb2, libtiff5 (>= 4.0.3), libvistaio14 (>= 1.2.14), libvtk5.8, libxml++2.6-2 (>= 2.36.0) Homepage: http://mia.sourceforge.net Priority: optional Section: libs Filename: pool/main/m/mia/libmia-2.0-8_2.0.13-1~nd13.10+1+nd14.04+1+nd14.10+1_amd64.deb Size: 3817350 SHA256: 57895aa3b2191d4251e7f4cd16e1273e686315b31cd16b9f5d17e734c81e1bef SHA1: 75f7eb93bc3b079fc4259d47781dc131844036f9 MD5sum: 9dd0ac1eb7aea5d724c7bb1c18df0929 Description: library for 2D and 3D gray scale image processing libmia comprises a set of libraries and plug-ins for general purpose 2D and 3D gray scale image processing and basic handling of triangular meshes. The libraries provide a basic infrastructure and generic algorithms, that can be specialized by specifying the apropriate plug-ins. Package: libmia-2.0-8-dbg Source: mia Version: 2.0.13-1~nd13.10+1+nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 68493 Depends: neurodebian-popularity-contest, libmia-2.0-8 (= 2.0.13-1~nd13.10+1+nd14.04+1+nd14.10+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/m/mia/libmia-2.0-8-dbg_2.0.13-1~nd13.10+1+nd14.04+1+nd14.10+1_amd64.deb Size: 62277372 SHA256: 3a5709c438938eacf07e3eed97c0c27e6dbe41e2568160aee0f76a02244e4cd6 SHA1: afb90a90383c3d5341605ae8d7d1325c086772c3 MD5sum: 44a77aa40a55dfa04fb14b1eb827202b Description: Debug information for the MIA library libmia comprises a set of libraries and plug.ins for general purpose 2D and 3D gray scale image processing and basic handling of triangular meshes. The libraries provide a basic infrastructure and generic algorithms, that can be specialized by specifying the apropriate plug-ins. libmia is library for general purpouse 2D and 3D gray scale image processing. This package provides the debug information of the library. Package: libmia-2.0-dev Source: mia Version: 2.0.13-1~nd13.10+1+nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1087 Depends: neurodebian-popularity-contest, libmia-2.0-8 (= 2.0.13-1~nd13.10+1+nd14.04+1+nd14.10+1), libxml++2.6-dev (>= 2.34.1), libitpp-dev (>= 4.2), libtbb-dev, libgsl0-dev, libboost-all-dev (>= 1.46.1), libfftw3-dev, libblas-dev Recommends: libmia-2.0-doc Homepage: http://mia.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/m/mia/libmia-2.0-dev_2.0.13-1~nd13.10+1+nd14.04+1+nd14.10+1_amd64.deb Size: 171332 SHA256: d2503216523855f5f19a63b488d8bcc67ca8306cb523a274c9e4c326bfc105d4 SHA1: a6fe3cb511087bea698a0532044336f0246e7588 MD5sum: 529e839651d81494617838b91a94a07b Description: library for 2D and 3D gray scale image processing, development files libmia comprises a set of libraries and plug-ins for general purpose 2D and 3D gray scale image processing and basic handling of triangular meshes. The libraries provide a basic infrastructure and generic algorithms, that can be specialized by specifying the apropriate plug-ins. This package provides the development files for the library. Package: libmia-2.0-doc Source: mia Version: 2.0.13-1~nd13.10+1+nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15020 Depends: neurodebian-popularity-contest, libjs-jquery Enhances: libmia-2.0-dev Homepage: http://mia.sourceforge.net Priority: optional Section: doc Filename: pool/main/m/mia/libmia-2.0-doc_2.0.13-1~nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 1146960 SHA256: d0c11d07baf644415382b1421eb82cca1b48c0000191fd1a11e4821badbef2ee SHA1: adbf1ca4739c05a6db3ef88140b6c0cb7848fa4b MD5sum: b0e2386fe558cfe24e23574ae7eaa515 Description: library for 2D and 3D gray scale image processing, documentation libmia comprises a set of libraries and plug-ins for general purpose 2D and 3D gray scale image processing and basic handling of triangular meshes. The libraries provide a basic infrastructure and generic algorithms, that can be specialized by specifying the apropriate plug-ins. This package provides the Doxygen generated API reference. Package: libnifti-dev Source: nifticlib Version: 2.0.0-2~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 558 Depends: neurodebian-popularity-contest, libnifti2 (= 2.0.0-2~nd14.04+1+nd14.10+1) Conflicts: libfslio-dev, libnifti0-dev, libnifti1-dev, libniftiio-dev Replaces: libnifti1-dev Homepage: http://niftilib.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/n/nifticlib/libnifti-dev_2.0.0-2~nd14.04+1+nd14.10+1_amd64.deb Size: 138192 SHA256: 79ca7117227b87151d8cfc9296f155d67933a127b5941883dd923c0fbcc2d9e9 SHA1: 3dffd439ceaef76a38a46f1e0492c64182c8c295 MD5sum: c3a214e01686d91620c4a745b4620d1a Description: IO libraries for the NIfTI-1 data format Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package provides the header files and static libraries of libniftiio, znzlib and libnifticdf. Package: libnifti-doc Source: nifticlib Version: 2.0.0-2~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1657 Depends: neurodebian-popularity-contest, libjs-jquery Homepage: http://niftilib.sourceforge.net Priority: optional Section: doc Filename: pool/main/n/nifticlib/libnifti-doc_2.0.0-2~nd14.04+1+nd14.10+1_all.deb Size: 138662 SHA256: cdce52c9c1bb782bc43fd94989d104f7c423c1b0d9cb3421a76c48a5e7bb388a SHA1: 17d8e2d7c2b66a7df4e11b5cf57c3a3bad4fd2e1 MD5sum: e4c9adbf2aef823be616be5deed7e525 Description: NIfTI library API documentation Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package provides the library API reference documentation. Package: libnifti2 Source: nifticlib Version: 2.0.0-2~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 266 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), zlib1g (>= 1:1.1.4) Homepage: http://niftilib.sourceforge.net Priority: optional Section: libs Filename: pool/main/n/nifticlib/libnifti2_2.0.0-2~nd14.04+1+nd14.10+1_amd64.deb Size: 106674 SHA256: 0535f5f2ab2e94a49364171b801491a8141f60d535c8c8fdfb83e540975d06ab SHA1: 3b407400dfe5094e1d3d33aaf4a35343150552d1 MD5sum: 174c3413b210523aecc925d6f31a5acc Description: IO libraries for the NIfTI-1 data format Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package contains the shared library of the low-level IO library niftiio, low-level IO library znzlib and the nifticdf shared library that provides functions to compute cumulative distributions and their inverses. Package: libopenwalnut1 Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd13.10+1+nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 6751 Depends: neurodebian-popularity-contest, fonts-liberation (>= 1.0.0), libboost-date-time1.55.0, libboost-filesystem1.55.0, libboost-regex1.55.0, libboost-system1.55.0, libboost-thread1.55.0, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libopenscenegraph99, libstdc++6 (>= 4.9) Suggests: nvidia-glx | fglrx-glx Homepage: http://www.openwalnut.org Priority: extra Section: libs Filename: pool/main/o/openwalnut/libopenwalnut1_1.4.0~rc1+hg3a3147463ee2-1~nd13.10+1+nd14.04+1+nd14.10+1_amd64.deb Size: 1287498 SHA256: 4645527025d13f9a7d6b7859e152e75a2ea77be6d678b0e5412e008681062754 SHA1: 40d96863e95475819522e7adc1699bbe90ab1cf3 MD5sum: f06b83a5bbd1158844487722881e6d38 Description: Framework for multi-modal medical and brain data visualization OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the core API of OpenWalnut. Package: libopenwalnut1-dev Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd13.10+1+nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1997 Depends: neurodebian-popularity-contest, libopenwalnut1 (= 1.4.0~rc1+hg3a3147463ee2-1~nd13.10+1+nd14.04+1+nd14.10+1), libgl1-mesa-dev | libgl-dev, libopenscenegraph-dev (>= 3.0.0), libopenthreads-dev (>= 3.0.0), libboost-dev (>= 1.46.0), libboost-program-options-dev (>= 1.46.0), libboost-thread-dev (>= 1.46.0), libboost-filesystem-dev (>= 1.46.0), libboost-date-time-dev (>= 1.46.0), libboost-system-dev (>= 1.46.0), libboost-signals-dev (>= 1.46.0), libboost-regex-dev (>= 1.46.0), libeigen3-dev (>= 3.0.0) Homepage: http://www.openwalnut.org Priority: extra Section: libdevel Filename: pool/main/o/openwalnut/libopenwalnut1-dev_1.4.0~rc1+hg3a3147463ee2-1~nd13.10+1+nd14.04+1+nd14.10+1_amd64.deb Size: 249454 SHA256: ae8f3b91779935c6faef754b096a14e46a5454b1868712d379925693830ccb1f SHA1: df570eaa621ff796697839cdee264d872f20c0f1 MD5sum: 606e4fa02918855fbdda03805944da35 Description: Development files for the OpenWalnut visualization framework OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the headers for the core API of OpenWalnut. Package: libopenwalnut1-doc Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd13.10+1+nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 48193 Depends: neurodebian-popularity-contest, libjs-jquery Homepage: http://www.openwalnut.org Priority: extra Section: doc Filename: pool/main/o/openwalnut/libopenwalnut1-doc_1.4.0~rc1+hg3a3147463ee2-1~nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 2692260 SHA256: b7585ce8baac0b86359c6c14c6e57b8fea15b5a047a3977d805b7e3391a6326f SHA1: 70570afa642d5596cc627880c48e160e73012619 MD5sum: 7db259d96a72c9eeb553fac5327e3944 Description: Developer documentation for the OpenWalnut visualization framework OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the core API documentation of OpenWalnut. Package: libvrpn-dev Source: vrpn Version: 07.30+dfsg-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 659 Depends: neurodebian-popularity-contest, libvrpn0 (= 07.30+dfsg-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1), libvrpnserver0 (= 07.30+dfsg-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: libdevel Filename: pool/main/v/vrpn/libvrpn-dev_07.30+dfsg-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1_amd64.deb Size: 141320 SHA256: aa7445f42cf6a50468200be16d232734b76bc0c14773a0246d008c0860384a62 SHA1: 3d25ef203b13a3028c71b98f80d498f423732a1b MD5sum: 798b56cb7a08dad341cd2dded2032841 Description: Virtual Reality Peripheral Network (development files) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the development files Package: libvrpn0 Source: vrpn Version: 07.30+dfsg-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 515 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: libs Filename: pool/main/v/vrpn/libvrpn0_07.30+dfsg-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1_amd64.deb Size: 141920 SHA256: 0bec41227daa71fdfeac1d2d0774110aa5027dedb96e07ed9874b0a4eaf92fc3 SHA1: c2400b5c92c5b678dcba7240a54740f46f2b2325 MD5sum: cf40e28538873dc9708ec07e268bdb5b Description: Virtual Reality Peripheral Network (client library) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the client shared library Package: libvrpnserver0 Source: vrpn Version: 07.30+dfsg-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1287 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.4.0) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: libs Filename: pool/main/v/vrpn/libvrpnserver0_07.30+dfsg-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1_amd64.deb Size: 328414 SHA256: 7fb2546c7f51f6f155033d08ec302e6526c049457d437fc65e720b056f0e3354 SHA1: 5fcca21890752d2ef0e5e126f9168a26035a837b MD5sum: 35b0fdbe24a210dd876f4bc0d1d78ccc Description: Virtual Reality Peripheral Network (server library) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the shared library use in the VRPN server Package: libvtk-dicom-java Source: vtk-dicom Version: 0.5.5-2~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 265 Depends: neurodebian-popularity-contest, libvtk-java, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libvtk-dicom0.5, libvtk5.8 Suggests: java-virtual-machine Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: java Filename: pool/main/v/vtk-dicom/libvtk-dicom-java_0.5.5-2~nd14.10+1_amd64.deb Size: 74788 SHA256: 764528d60b7143dd9973cbd26c2da16bba6a6e426453a3b83f5ba70851411379 SHA1: a6191fbddab14b602ad6a9593f1102369418d6c9 MD5sum: d431741a6efa997e19ca3496b1dc407f Description: DICOM for VTK - java This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Java 1.5 bindings Package: libvtk-dicom0.5 Source: vtk-dicom Version: 0.5.5-2~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1846 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libgdcm2.2, libstdc++6 (>= 4.9), libvtk5.8, zlib1g (>= 1:1.2.3.4) Multi-Arch: same Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: libs Filename: pool/main/v/vtk-dicom/libvtk-dicom0.5_0.5.5-2~nd14.10+1_amd64.deb Size: 455910 SHA256: 2a7f7d35c82c42b8db1cc951574f77f33591d3f0a78597632f1ea87e7757a3ab SHA1: 4acb908464aec48735bec37f024c6e40f920f39a MD5sum: af34a1aa6343c0141d788cc9f72c2db1 Description: DICOM for VTK - lib This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Libraries for runtime applications Package: libvtk-dicom0.5-dev Source: vtk-dicom Version: 0.5.5-2~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 531 Depends: neurodebian-popularity-contest, libvtk-dicom0.5 (= 0.5.5-2~nd14.10+1) Conflicts: libvtk-dicom0.4-dev Replaces: libvtk-dicom0.4-dev Provides: libvtk-dicom-dev Multi-Arch: same Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: libdevel Filename: pool/main/v/vtk-dicom/libvtk-dicom0.5-dev_0.5.5-2~nd14.10+1_amd64.deb Size: 80892 SHA256: a5ef0707de4632ca9b5ce98fff3d7fb57c7c48946b50a2c9ef217c72153776d2 SHA1: bdfaf907b6e58e871f46b9db1c7f23d29596f691 MD5sum: 58e327c35bf6816c479991d4c22e6456 Description: DICOM for VTK - dev This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Development headers Package: lua-cnrun Source: cnrun Version: 2.0.1-1~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 105 Depends: neurodebian-popularity-contest, libcnrun2, lua5.1 | lua5.2 Suggests: gnuplot Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/lua-cnrun_2.0.1-1~nd14.04+1+nd14.10+1_amd64.deb Size: 39500 SHA256: d618d38bc63c7c840e6f649920647608500f847c9e853815d5ce2b93a81edb6a SHA1: bf16cdf8644ed2be2227916b1675d475d1040a60 MD5sum: 014663d8c2eb7283d37e5804c4017d12 Description: NeuroML-capable neuronal network simulator (Lua package) CNrun is a neuronal network simulator, with these features: * a conductance- and rate-based Hodgkin-Huxley neurons, a Rall and Alpha-Beta synapses; * a 6-5 Runge-Kutta integration method: slow but precise, adjustable; * Poisson, Van der Pol, Colpitts oscillators and interface for external stimulation sources; * NeuroML network topology import/export; * logging state variables, spikes; * implemented as a Lua module, for scripting model behaviour (e.g., to enable plastic processes regulated by model state); * interaction (topology push/pull, async connections) with other cnrun models running elsewhere on a network, with interactions (planned). . Note that there is no `cnrun' executable, which existed in cnrun-1.*. Instead, you write a script for your simulation in Lua, and execute it as detailed in /usr/share/lua-cnrun/examples/example1.lua. Package: mia-tools Source: mia Version: 2.0.13-1~nd13.10+1+nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 8657 Depends: neurodebian-popularity-contest, libmia-2.0-8 (= 2.0.13-1~nd13.10+1+nd14.04+1+nd14.10+1), libboost-filesystem1.55.0, libboost-regex1.55.0, libboost-serialization1.55.0, libboost-system1.55.0, libboost-test1.55.0, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libglibmm-2.4-1c2a (>= 2.42.0), libgsl0ldbl (>= 1.9), libgts-0.7-5 (>= 0.7.6), libjpeg8 (>= 8c), libnlopt0 (>= 2.3), libopenexr6 (>= 1.6.1), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.9), libtbb2, libtiff5 (>= 4.0.3), libvistaio14 (>= 1.2.14), libvtk5.8, libxml++2.6-2 (>= 2.36.0) Recommends: mia-doc Homepage: http://mia.sourceforge.net Priority: optional Section: science Filename: pool/main/m/mia/mia-tools_2.0.13-1~nd13.10+1+nd14.04+1+nd14.10+1_amd64.deb Size: 1461104 SHA256: 34dae81a1b98dfa42b6fbdfd38969e4297661fc258ea263e2a73e1ce064bc005 SHA1: a21e34abf6bb9ee390757a358cc7df8a9281c84a MD5sum: 9db2929479cee61850f58e52554fb95f Description: Command line tools for gray scale image processing Command lines tools to run general purpose image processing tasks on 2D and 3D gray scale images, and basic operations on triangular meshes. Supported image processing algorithms are image filtering, combining, image registration, motion compensation for image series, and the estimation of various statiistics over images. Package: mia-tools-dbg Source: mia Version: 2.0.13-1~nd13.10+1+nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 29263 Depends: neurodebian-popularity-contest, mia-tools (= 2.0.13-1~nd13.10+1+nd14.04+1+nd14.10+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/m/mia/mia-tools-dbg_2.0.13-1~nd13.10+1+nd14.04+1+nd14.10+1_amd64.deb Size: 27010288 SHA256: 327698dff5f95eac20c12652640f6031ee8c385ec95b455eb761dbcb2b263aa8 SHA1: 724149ee2b843806ae656e1fc3a2178bf1928aa4 MD5sum: 0aac1b031ffd14295e77520775a6f8f2 Description: Debugging information for the MIA command line tools Debug information for the MIA command lines tools. These tools provide the means to run general purpose image processing tasks on 2D and 3D gray scale images, and basic operations on triangular meshes from the command line. Supported image processing algorithms are image filtering, combining, image registration, motion compensation for image series, and the estimation of various statiistics over images. Package: mia-tools-doc Source: mia Version: 2.0.13-1~nd13.10+1+nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1138 Depends: neurodebian-popularity-contest Enhances: mia-tools Homepage: http://mia.sourceforge.net Priority: optional Section: doc Filename: pool/main/m/mia/mia-tools-doc_2.0.13-1~nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 72218 SHA256: e377338d99c9bc9de6d90b9a3e39b299268885b7d8d523bcb3548e488aed97cc SHA1: dfcde5856712a45467b359d7cfed7010c4535e08 MD5sum: c801c1bb9a2f6022a4aa65ff6224ac48 Description: Cross-referenced documentation of the MIA command line tools Cross referenced documentation of the command line tools and plug-ins that are provided by the MIA gray scale image processing tool chain. These lines tools to provide the means to run general purpose image processing tasks on 2D and 3D gray scale images, and basic operations on triangular meshes interactively from the command line. Supported image processing algorithms are image filtering, combining, image registration, motion compensation for image series, and the estimation of various statistics over images. Package: mriconvert Version: 1:2.0.8-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5584 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.9), libwxbase3.0-0 (>= 3.0.1), libwxgtk3.0-0 (>= 3.0.1) Homepage: http://lcni.uoregon.edu/~jolinda/MRIConvert/ Priority: optional Section: science Filename: pool/main/m/mriconvert/mriconvert_2.0.8-1~nd14.10+1_amd64.deb Size: 827530 SHA256: 45474c34cea40840b37420c351a803f54f3202eb5ed5edb7baa1e7bed55ff5ce SHA1: 3f189b1d2ec6d375376a5e0725e9cdc63a2b489b MD5sum: f17f184a5f6e52182972483c35d651e1 Description: medical image file conversion utility MRIConvert is a medical image file conversion utility that converts DICOM files to NIfTI 1.1, Analyze 7.5, SPM99/Analyze, BrainVoyager, and MetaImage volume formats. Package: mricron Version: 0.20140804.1~dfsg.1-1~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 16460 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libc6 (>= 2.2.5), libcairo2 (>= 1.2.4), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.12.0), libgtk2.0-0 (>= 2.24.0), libpango-1.0-0 (>= 1.14.0), libx11-6, mricron-data Recommends: pigz Suggests: mricron-doc, fsl Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: science Filename: pool/main/m/mricron/mricron_0.20140804.1~dfsg.1-1~nd14.04+1+nd14.10+1_amd64.deb Size: 2246122 SHA256: 58c9e5e219b7e3d597f2497655f345fe0e390c935b4a52c8221fb1cdaf99f0b8 SHA1: b0993f4cb44a1d4c30565057b93f0e376b8289d6 MD5sum: b28f010d8717713ba023d08e1e23dcec Description: magnetic resonance image conversion, viewing and analysis This is a GUI-based visualization and analysis tool for (functional) magnetic resonance imaging. MRIcron can be used to create 2D or 3D renderings of statistical overlay maps on brain anatomy images. Moreover, it aids drawing anatomical regions-of-interest (ROI), or lesion mapping, as well as basic analysis of functional timeseries (e.g. creating plots of peristimulus signal-change). . In addition to 'mricron', this package also provides 'dcm2nii' that supports converting DICOM and PAR/REC images into the NIfTI format, and 'npm' for non-parametric data analysis. Package: mricron-data Source: mricron Version: 0.20140804.1~dfsg.1-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1676 Depends: neurodebian-popularity-contest Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: science Filename: pool/main/m/mricron/mricron-data_0.20140804.1~dfsg.1-1~nd14.04+1+nd14.10+1_all.deb Size: 1658412 SHA256: c88e74257d9ac6c22989d52222629074156730eb683ad7943df5496a5e59d2fa SHA1: 58a9f106b4750f7bbede0a46608b321d05f8a52e MD5sum: ca5020395547dce7dd727fdb19a14261 Description: data files for MRIcron This is a GUI-based visualization and analysis tool for (functional) magnetic resonance imaging. MRIcron can be used to create 2D or 3D renderings of statistical overlay maps on brain anatomy images. Moreover, it aids drawing anatomical regions-of-interest (ROI), or lesion mapping, as well as basic analysis of functional timeseries (e.g. creating plots of peristimulus signal-change). . This package provides data files for MRIcron, such as brain atlases, anatomy, and color schemes. Package: mricron-doc Source: mricron Version: 0.20140804.1~dfsg.1-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 980 Depends: neurodebian-popularity-contest Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: doc Filename: pool/main/m/mricron/mricron-doc_0.20140804.1~dfsg.1-1~nd14.04+1+nd14.10+1_all.deb Size: 577382 SHA256: 04bf87a57bc2d04e0c6faa5049beac2e1c98a5d9246ec6dc9e9f131f93e9ae37 SHA1: ad8140b44d55bdb25474cf205a95e1a88b26b292 MD5sum: dc6738db3ffaf03ad9c785cc48b62625 Description: data files for MRIcron This is a GUI-based visualization and analysis tool for (functional) magnetic resonance imaging. MRIcron can be used to create 2D or 3D renderings of statistical overlay maps on brain anatomy images. Moreover, it aids drawing anatomical regions-of-interest (ROI), or lesion mapping, as well as basic analysis of functional timeseries (e.g. creating plots of peristimulus signal-change). . This package provides documentation for MRIcron in HTML format. Package: netselect Version: 0.3.ds1-25~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 51 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), debconf (>= 0.5) | debconf-2.0 Suggests: netselect-apt Homepage: http://github.com/apenwarr/netselect Priority: optional Section: net Filename: pool/main/n/netselect/netselect_0.3.ds1-25~nd14.04+1+nd14.10+1_amd64.deb Size: 31616 SHA256: 9d3393414e1e7248bec06f551f65c5f98f6298c5cee122cf3f898332351428b8 SHA1: badf4740297d3a8ef949e27c5f36885ee8d17cbc MD5sum: a7556e7de7442971e925986ebc2702da Description: speed tester for choosing a fast network server This package provides a utility that can perform parallelized tests on distant servers using either UDP traceroutes or ICMP queries. . It can process a (possibly very long) list of servers, and choose the fastest/closest one automatically. Package: netselect-apt Source: netselect Version: 0.3.ds1-25~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26 Depends: neurodebian-popularity-contest, wget, netselect (>= 0.3.ds1-17) Recommends: curl Suggests: dpkg-dev Enhances: apt Homepage: http://github.com/apenwarr/netselect Priority: optional Section: net Filename: pool/main/n/netselect/netselect-apt_0.3.ds1-25~nd14.04+1+nd14.10+1_all.deb Size: 16834 SHA256: 44d02360c63d92dfa3c07d6457f493d7a166ab3feb81b1981824055faa65af2d SHA1: 639099f2f68a414cf67f331748013b793b13fa79 MD5sum: b9f84fa5556a4472ddc5a5eb8954e4c0 Description: speed tester for choosing a fast Debian mirror This package provides a utility that can choose the best Debian mirror by downloading the full mirror list and using netselect to find the fastest/closest one. . It can output a sources.list(5) file that can be used with package management tools such as apt or aptitude. Package: neurodebian Version: 0.37.2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 71 Depends: python, wget, neurodebian-archive-keyring, debconf (>= 0.5) | debconf-2.0 Recommends: netselect Suggests: neurodebian-desktop, neurodebian-popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian_0.37.2~nd14.10+1_all.deb Size: 33406 SHA256: a93289f29a1b34b6f54feb08df4c8235848e8d1bc59ea5b697f1f39c4c7b569c SHA1: 2fa4d868d63f469b2609752f7b20018fc7313ee6 MD5sum: 7a09c2b1de06888958aef8f3da977931 Description: neuroscience-oriented distribution - repository configuration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package enables the NeuroDebian repository on top of a standard Debian or Ubuntu system. Package: neurodebian-archive-keyring Source: neurodebian Version: 0.37.2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 11 Breaks: neurodebian-keyring (<< 0.34~) Replaces: neurodebian-keyring (<< 0.34~) Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-archive-keyring_0.37.2~nd14.10+1_all.deb Size: 10074 SHA256: c2e7af8bed48709e9f73bbd41c6741dcf384b79dfcb46e6f7f0c18ba39d59293 SHA1: ebb0cc5d4b808de6d5aba76fdac2652994fb67c3 MD5sum: 2c0179ac2ef55e3f86d610aee91f02a5 Description: neuroscience-oriented distribution - GnuPG archive keys The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . The NeuroDebian project digitally signs its Release files. This package contains the archive keys used for that. Package: neurodebian-desktop Source: neurodebian Version: 0.37.2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 147 Depends: ssh-askpass-gnome | ssh-askpass, desktop-base, adwaita-icon-theme | gnome-icon-theme, neurodebian-popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-desktop_0.37.2~nd14.10+1_all.deb Size: 115946 SHA256: 1e4f128e2c0521bcccb4f011b3fc4cec574b0c255a8aeeb6650bc33f95ad7a43 SHA1: d78355c496a6ca5e769c55277f30c0a8359e18f4 MD5sum: f4a02d17d45eacea6679b480a7d6df7a Description: neuroscience-oriented distribution - desktop integration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package provides NeuroDebian artwork (icons, background image) and a NeuroDebian menu featuring the most popular neuroscience tools, which will be automatically installed upon initial invocation. Package: neurodebian-dev Source: neurodebian Version: 0.37.2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 83 Depends: devscripts, neurodebian-archive-keyring Recommends: python, zerofree, moreutils, time, ubuntu-keyring, debian-archive-keyring, apt-utils, cowbuilder Suggests: virtualbox-ose, virtualbox-ose-fuse Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-dev_0.37.2~nd14.10+1_all.deb Size: 32260 SHA256: eb66e306bbc1bc85dbc27f6af237c65b3aa3b33705e9d8d2f94303138ccfae09 SHA1: 9820dbe2f064af6eb5242e3b30b8c6c7e9d983ab MD5sum: b425b955fdf25713642b0e785601f728 Description: neuroscience-oriented distribution - development tools The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package provides sources and development tools used by NeuroDebian to provide backports for a range of Debian/Ubuntu releases. Package: neurodebian-popularity-contest Source: neurodebian Version: 0.37.2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.37.2~nd14.10+1_all.deb Size: 12164 SHA256: ac29a264790f3c0b81b7815784bfcbc204c145d32227367d15040d38d340bfef SHA1: 9750ade65fd9acc86008a3aeb2ae9349130c1bb0 MD5sum: dea8a66eb8cd99d03673bcfdccc5099c Description: neuroscience-oriented distribution - popcon integration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package is a complement to the generic popularity-contest package to enable anonymous submission of usage statistics to NeuroDebian in addition to the popcon submissions to the underlying distribution (either Debian or Ubuntu) popcon server. . Participating in popcon is important for the following reasons: * Popular packages receive more attention from developers; bugs are fixed faster and updates are provided quicker. * It ensures that support is not dropped for a previous release of Debian or Ubuntu while there are active users. * User statistics may be useful for upstream research software developers seeking funding for continued development. . This requires that popcon is activated for the underlying distribution (Debian or Ubuntu), which can be achieved by running "dpkg-reconfigure popularity-contest" as root. Package: nifti-bin Source: nifticlib Version: 2.0.0-2~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 140 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libnifti2 Homepage: http://niftilib.sourceforge.net Priority: optional Section: utils Filename: pool/main/n/nifticlib/nifti-bin_2.0.0-2~nd14.04+1+nd14.10+1_amd64.deb Size: 55784 SHA256: 151d237ce2e540f323da896249f1866ba973c2b7673834853954990c5828ccd6 SHA1: 793ffbe87748f9bea9e99823fbf7ce44f28289ed MD5sum: 062e3eb3dedf6c9b8be32df7b402c8ee Description: tools shipped with the NIfTI library Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package provides the tools that are shipped with the library (nifti_tool, nifti_stats and nifti1_test). Package: nuitka Version: 0.5.14+ds-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2463 Depends: neurodebian-popularity-contest, g++-4.9 | g++-4.8 | g++-4.7 | g++-4.6 (>= 4.6.1) | g++-4.5 | g++-4.4 | clang (>= 3.0), scons (>= 2.0.0), python-dev (>= 2.6.6-2), python:any (>= 2.6.6-7~) Recommends: python-lxml (>= 2.3), python-qt4 (>= 4.8.6), strace Suggests: ccache Homepage: http://nuitka.net Priority: optional Section: python Filename: pool/main/n/nuitka/nuitka_0.5.14+ds-1~nd14.10+1_all.deb Size: 570788 SHA256: 5242d1e8d6e154a36fde600434428069cc2db41e0523948218a3b0a45c049df9 SHA1: 416e34b6022e1c755cfc76a04e62b35843f12dda MD5sum: 58e244f5500bab9a6e1580123d25634d Description: Python compiler with full language support and CPython compatibility This Python compiler achieves full language compatibility and compiles Python code into compiled objects that are not second class at all. Instead they can be used in the same way as pure Python objects. Package: octave-biosig Source: biosig4c++ Version: 1.4.1-2~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 69 Depends: neurodebian-popularity-contest, octave (>= 3.4.3-1~), libbiosig1, libc6 (>= 2.4), liboctave2 Homepage: http://biosig.sf.net/ Priority: extra Section: science Filename: pool/main/b/biosig4c++/octave-biosig_1.4.1-2~nd14.10+1_amd64.deb Size: 19512 SHA256: 030a8e27d08b87a5ddc111de5943950bbfb509ef3c3ce69d9c4ed05797b76895 SHA1: cd3ea9eeddc2ef9a6f6492157d2e6b611dcb7fcd MD5sum: d4ed502461cc12eb84b53714f23700ec Description: Octave bindings for BioSig library This package provides Octave bindings for BioSig library. Primary goal -- I/O interface to variety of biomedical file formats, including but not limited to SCP-ECG(EN1064), HL7aECG (FDA-XML), GDF, EDF. Package: octave-psychtoolbox-3 Source: psychtoolbox-3 Version: 3.0.12.20150725.dfgs1-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4526 Depends: neurodebian-popularity-contest, octave (>= 3.4.3-1~), freeglut3, libasound2 (>= 1.0.16), libc6 (>= 2.14), libdc1394-22, libfreenect0.5 (>= 1:0.1.1), libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libgstreamer-plugins-base1.0-0 (>= 1.0.0), libgstreamer1.0-0 (>= 1.4.0), liboctave2, libopenal1 (>= 1.14), libpciaccess0 (>= 0.8.0+git20071002), libusb-1.0-0 (>= 2:1.0.9), libx11-6 (>= 2:1.2.99.901), libx11-xcb1, libxcb-dri3-0, libxcb1, libxext6, libxfixes3, libxi6 (>= 2:1.2.99.4), libxrandr2 (>= 2:1.2.99.3), libxxf86vm1, psychtoolbox-3-common (= 3.0.12.20150725.dfgs1-1~nd14.10+1), psychtoolbox-3-lib (= 3.0.12.20150725.dfgs1-1~nd14.10+1) Recommends: octave-audio, octave-image, octave-optim, octave-signal, octave-statistics Provides: psychtoolbox, psychtoolbox-3 Homepage: http://psychtoolbox.org Priority: extra Section: science Filename: pool/main/p/psychtoolbox-3/octave-psychtoolbox-3_3.0.12.20150725.dfgs1-1~nd14.10+1_amd64.deb Size: 882796 SHA256: 7ca79948efa977ddcf9129d7016466ee014e866184a04eb049cc099a1d521d8b SHA1: 1a93de26257178ceb5faf743c4fa527d43b9acb1 MD5sum: 9ef6b59412db6528f36978ccce5e9058 Description: toolbox for vision research -- Octave bindings Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . See also http://www.psychtoolbox.org/UsingPsychtoolboxOnUbuntu for additional information about systems tune-up and initial configuration. . This package contains bindings for Octave. Package: openwalnut-modules Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd13.10+1+nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 23400 Depends: neurodebian-popularity-contest, libbiosig1, libboost-filesystem1.55.0, libboost-regex1.55.0, libboost-system1.55.0, libboost-thread1.55.0, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libnifti2, libopenscenegraph99, libopenwalnut1, libstdc++6 (>= 4.9) Homepage: http://www.openwalnut.org Priority: extra Section: science Filename: pool/main/o/openwalnut/openwalnut-modules_1.4.0~rc1+hg3a3147463ee2-1~nd13.10+1+nd14.04+1+nd14.10+1_amd64.deb Size: 3611608 SHA256: 08c81a0cf0fb7c0a0c499afd10576785656a6f9489dc98b5f7022f228ba42929 SHA1: 7ae926634b4e91120259e815085d40f2d3dcc498 MD5sum: 202ab7f6a5f8c4218a56abd3f199d2ee Description: Loaders, algorithms and visualization modules for OpenWalnut OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the currently available modules for OpenWalnut. Package: openwalnut-qt4 Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd13.10+1+nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2103 Depends: neurodebian-popularity-contest, libboost-filesystem1.55.0, libboost-program-options1.55.0, libboost-regex1.55.0, libboost-system1.55.0, libboost-thread1.55.0, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libopenscenegraph99, libopenwalnut1, libqt4-opengl (>= 4:4.6.0), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.8.0), libqtwebkit4, libstdc++6 (>= 4.9), libx11-6 Recommends: openwalnut-modules (= 1.4.0~rc1+hg3a3147463ee2-1~nd13.10+1+nd14.04+1+nd14.10+1) Homepage: http://www.openwalnut.org Priority: extra Section: science Filename: pool/main/o/openwalnut/openwalnut-qt4_1.4.0~rc1+hg3a3147463ee2-1~nd13.10+1+nd14.04+1+nd14.10+1_amd64.deb Size: 754924 SHA256: ae049cd9e5865bb2dbe0cd2bf4188bb90526d96b5a381d482db9027b6965aabe SHA1: 405be1ad01b0e4df5af36c98ee7cf8134cb5de75 MD5sum: 45e7cb29bf72e92fbab8693205d66b33 Description: Qt based user interface for OpenWalnut OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the QT4 GUI for OpenWalnut. Package: psychopy Version: 1.82.02.dfsg-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14481 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-pyglet | python-pygame, python-opengl, python-numpy, python-scipy, python-matplotlib, python-lxml, python-configobj Recommends: python-wxgtk3.0, python-wxgtk2.8, python-pyglet, python-pygame, python-openpyxl, python-imaging, python-serial, python-pyo, python-psutil, python-gevent, python-msgpack, python-yaml, python-xlib, python-pandas, libavbin0, libxxf86vm1, ipython Suggests: python-iolabs, python-pyxid Conflicts: libavbin0 (= 7-4+b1) Homepage: http://www.psychopy.org Priority: optional Section: science Filename: pool/main/p/psychopy/psychopy_1.82.02.dfsg-1~nd14.10+1_all.deb Size: 6063706 SHA256: 9e4efd031d309ffa7be5334414c8287098fdd6947489871e37bb5f7c2230c9d4 SHA1: e837bb0a2abb710442306068d828bd0de7314961 MD5sum: f306dda299084f6998271b1f38a9492f Description: environment for creating psychology stimuli in Python PsychoPy provides an environment for creating psychology stimuli using Python scripting language. It combines the graphical strengths of OpenGL with easy Python syntax to give psychophysics a free and simple stimulus presentation and control package. . The goal is to provide, for the busy scientist, tools to control timing and windowing and a simple set of pre-packaged stimuli and methods. PsychoPy features . - IDE GUI for coding in a powerful scripting language (Python) - Builder GUI for rapid development of stimulation sequences - Use of hardware-accelerated graphics (OpenGL) - Integration with Spectrascan PR650 for easy monitor calibration - Simple routines for staircase and constant stimuli experimental methods as well as curve-fitting and bootstrapping - Simple (or complex) GUIs via wxPython - Easy interfaces to joysticks, mice, sound cards etc. via PyGame - Video playback (MPG, DivX, AVI, QuickTime, etc.) as stimuli Python-Version: 2.7 Package: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.12.20150725.dfgs1-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 233284 Depends: neurodebian-popularity-contest Recommends: subversion Suggests: gnuplot Homepage: http://psychtoolbox.org Priority: extra Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.12.20150725.dfgs1-1~nd14.10+1_all.deb Size: 23805018 SHA256: 84bcf0a66980b933f02857c2f8aaf08170c53e58c8de700070478a6dc219988e SHA1: 3b1e99186188025f1054538e8c36e9b8b54e33f8 MD5sum: baa1b9e298cefc4f1f51c960dfd3572e Description: toolbox for vision research -- arch/interpreter independent part Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains architecture independent files (such as .m scripts) Package: psychtoolbox-3-dbg Source: psychtoolbox-3 Version: 3.0.12.20150725.dfgs1-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3719 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.12.20150725.dfgs1-1~nd14.10+1) Homepage: http://psychtoolbox.org Priority: extra Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.12.20150725.dfgs1-1~nd14.10+1_amd64.deb Size: 706822 SHA256: 666beaaa2cb5be10b4c655edf91fc6b47d35405f2522f94aecc029a8c1846912 SHA1: ea86785dd164e981408167fcaf7e239a4fee2241 MD5sum: 4e240242d58e3981effc2eeef2606a37 Description: toolbox for vision research -- debug symbols for binaries Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . To ease debugging and troubleshooting this package contains debug symbols for Octave bindings and other binaries. Package: psychtoolbox-3-lib Source: psychtoolbox-3 Version: 3.0.12.20150725.dfgs1-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 162 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfontconfig1 (>= 2.9.0), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 4.6) Recommends: gstreamer1.0-plugins-base, gstreamer1.0-plugins-good, gstreamer1.0-plugins-bad, gstreamer1.0-plugins-ugly, gstreamer1.0-libav Homepage: http://psychtoolbox.org Priority: extra Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-lib_3.0.12.20150725.dfgs1-1~nd14.10+1_amd64.deb Size: 56220 SHA256: 3ec82901db7f9b3157fa5f623a5603ad804c14ca9397f4d5b2ffdf417677e9ea SHA1: f35211b773bf87a005683b19ab0188ca7a045e79 MD5sum: 1b9bef48566d421b0e8e873ff9a8fc8e Description: toolbox for vision research -- arch-specific parts Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains additional binaries (tools/dynamic libraries) used by both Octave and Matlab frontends. Package: python-biosig Source: biosig4c++ Version: 1.4.1-2~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 214 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.8.0), python-numpy-abi9, python-support (>= 0.90.0), libbiosig1, libc6 (>= 2.14), libcholmod2.1.2, libgcc1 (>= 1:4.1.1), libpython2.7 (>= 2.7), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: python Filename: pool/main/b/biosig4c++/python-biosig_1.4.1-2~nd14.10+1_amd64.deb Size: 43552 SHA256: c9d61ed48deb2b18141d2bd45cdbe88beb9579d2d629d1799c810c68e9a86a78 SHA1: 51ede74adf948718473ccc835048aef8539d75f4 MD5sum: dbc2bbe150e0ee31de597799fdaa3e54 Description: Python bindings for BioSig library This package provides Python bindings for BioSig library. Primary goal -- I/O interface to variety of biomedical file formats, including but not limited to SCP-ECG(EN1064), HL7aECG (FDA-XML), GDF, EDF. Package: python-citeproc Source: citeproc-py Version: 0.3.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 727 Depends: neurodebian-popularity-contest, python:any (>= 2.7.5-5~), python-lxml, python:any (<< 2.8) Homepage: https://github.com/brechtm/citeproc-py Priority: optional Section: python Filename: pool/main/c/citeproc-py/python-citeproc_0.3.0-1~nd14.10+1_all.deb Size: 80534 SHA256: cdb7e17975dd55a938248ef49aead68280c739b03770a8f42c2e2168f3ac54ba SHA1: 59f492b130f25751c400a6ec48db651e7a62d65e MD5sum: 015b08b44187cb7a8c0518b8423989da Description: Citation Style Language (CSL) processor for Python Citeproc-py is a library that produces formatted bibliographies and citations from bibliographic databases following formatting instructions provided by XML style files written in the Citation Style Language (CSL). . Currently, BibTeX and JSON are supported as input database formats, and plain text, reStructuredText and HTML as output format. . This package contains the Python modules. Package: python-dicom Source: pydicom Version: 0.9.9-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1522 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8) Recommends: python-numpy, python-imaging Suggests: python-matplotlib Homepage: http://pydicom.org/ Priority: optional Section: python Filename: pool/main/p/pydicom/python-dicom_0.9.9-1~nd14.04+1+nd14.10+1_all.deb Size: 357754 SHA256: 73cfe1add618a43641c61e40689bb4a2e2e8ca3a75d79ae1d87faffc437b7711 SHA1: c3ee99c29a95595fe09becbfe2a06215f2a62999 MD5sum: 89f2ab9058ed226e84b3b983377fe48c Description: DICOM medical file reading and writing pydicom is a pure Python module for parsing DICOM files. DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects. . pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files. Package: python-dipy Source: dipy Version: 0.9.2-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4609 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy, python-scipy, python-dipy-lib (>= 0.9.2-1~nd14.10+1) Recommends: python-matplotlib, python-vtk, python-nose, python-nibabel, python-tables Suggests: ipython Provides: python2.7-dipy Homepage: http://nipy.org/dipy Priority: optional Section: python Filename: pool/main/d/dipy/python-dipy_0.9.2-1~nd14.10+1_all.deb Size: 2340154 SHA256: dd10a35a7b251fb3dc267bcac302c01ec4fda2055bf088845ce7e7eff915b27d SHA1: d0cbe966ca4e6d30e69b4de2b92dc3c3114d57fa MD5sum: 88985d6e97bdf8f635d1871357c56e9a Description: toolbox for analysis of MR diffusion imaging data Dipy is a toolbox for the analysis of diffusion magnetic resonance imaging data. It features: - Reconstruction algorithms, e.g. GQI, DTI - Tractography generation algorithms, e.g. EuDX - Intelligent downsampling of tracks - Ultra fast tractography clustering - Resampling datasets with anisotropic voxels to isotropic - Visualizing multiple brains simultaneously - Finding track correspondence between different brains - Warping tractographies into another space, e.g. MNI space - Reading many different file formats, e.g. Trackvis or NIfTI - Dealing with huge tractographies without memory restrictions - Playing with datasets interactively without storing Python-Version: 2.7 Package: python-dipy-doc Source: dipy Version: 0.9.2-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12494 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-dipy Homepage: http://nipy.org/dipy Priority: optional Section: doc Filename: pool/main/d/dipy/python-dipy-doc_0.9.2-1~nd14.10+1_all.deb Size: 10228258 SHA256: dea3bc2cbba1c8fdf654b91f78452a3c9d38852f69c041044e35d4256107fe8b SHA1: 457d10577dc53054e5d7a9e201e6f6bb99f11416 MD5sum: c7c02b0b897226a3407c68b661ea9db6 Description: toolbox for analysis of MR diffusion imaging data -- documentation Dipy is a toolbox for the analysis of diffusion magnetic resonance imaging data. . This package provides the documentation in HTML format. Package: python-dipy-lib Source: dipy Version: 0.9.2-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5430 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, python (>= 2.7), python (<< 2.8), libc6 (>= 2.14), libgomp1 (>= 4.9) Provides: python2.7-dipy-lib Homepage: http://nipy.org/dipy Priority: optional Section: python Filename: pool/main/d/dipy/python-dipy-lib_0.9.2-1~nd14.10+1_amd64.deb Size: 974726 SHA256: 35003bce9e654a8b224fff982fdf62ea99f3dd04faf6da8a0a3895e6fa7b23b1 SHA1: 331a36e80b480e02c02d75c3848e0a59ae8ed836 MD5sum: 544c89b903487281f043c1949dbd3bd7 Description: toolbox for analysis of MR diffusion imaging data -- extensions Dipy is a toolbox for the analysis of diffusion magnetic resonance imaging data. . This package provides architecture-dependent builds of the extensions. Python-Version: 2.7 Package: python-expyriment Version: 0.7.0+git34-g55a4e7e-3~nd13.10+1+nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2388 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-support (>= 0.90.0), python-pygame (>= 1.9.1~), python-opengl (>= 3.0.0), ttf-freefont, libjs-jquery, libjs-underscore Recommends: python-serial (>= 2.5~), python-numpy (>= 1.3.0~) Suggests: python-parallel (>= 0.2), python-pyxid Homepage: http://www.expyriment.org Priority: optional Section: science Filename: pool/main/p/python-expyriment/python-expyriment_0.7.0+git34-g55a4e7e-3~nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 697330 SHA256: 96be86d6872471783be85b3e608a9e97766be8880c142768e3f6763eedbd0603 SHA1: a3eb4d68ea1095e76326d74cadf2679f8bd40300 MD5sum: 9d8be3b3d7269ab4187430a2586ce51b Description: Python library for cognitive and neuroscientific experiments Expyriment is a light-weight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments. The major goal is to provide a well-structured Python library for a script-based experiment development with a high priority on the readability of the resulting programme code. Due to the availability of an Android runtime environment, Expyriment is also suitable for the development of experiments running on tablet PCs or smart-phones. Package: python-freenect Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 136 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.8.0), python-numpy-abi9, libc6 (>= 2.4), libfreenect0.5 (= 1:0.5.2+git6-g5455843+dfsg-1~nd14.10+1), libpython2.7 (>= 2.7) Suggests: python-matplotlib, python-opencv Provides: python2.7-freenect Homepage: http://openkinect.org/ Priority: extra Section: python Filename: pool/main/libf/libfreenect/python-freenect_0.5.2+git6-g5455843+dfsg-1~nd14.10+1_amd64.deb Size: 44638 SHA256: 8f3c0441a1c55b4c65d51024030f34caa3433cc8347829224fd99d64c0fdf729 SHA1: 9c28c5789d3f0687c5a750beb0d0409a091683e0 MD5sum: d5d3b76f73bfc68b91abafa2b742e58b Description: library for accessing Kinect device -- Python bindings libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package provides freenect extension to use libfreenect functionality from Python and includes some demo scripts. Package: python-git Version: 1.0.1+git137-gc8b8379-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1498 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-gitdb (>= 0.6.4), git (>= 1:1.7) | git-core (>= 1:1.5.3.7), libjs-jquery Suggests: python-smmap Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python-git_1.0.1+git137-gc8b8379-1~nd14.10+1_all.deb Size: 304734 SHA256: 0c260a561a8a48891d05f895292116c92499f98c7caf91e18988ddb5f8ef6fe9 SHA1: bda243023c61f8305db7ff9a1675ed51fda4e1e5 MD5sum: e3e8820dae26670a58966511ba34615c Description: Python library to interact with Git repositories python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. Python-Version: 2.7 Package: python-gitdb Version: 0.6.4-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 210 Depends: neurodebian-popularity-contest, python-smmap, python (>= 2.7), python (<< 2.8), libc6 (>= 2.14) Provides: python2.7-gitdb Homepage: https://github.com/gitpython-developers/gitdb Priority: extra Section: python Filename: pool/main/p/python-gitdb/python-gitdb_0.6.4-1~nd14.10+1_amd64.deb Size: 55262 SHA256: 8f92d60a0718b11e4f7e63108074ac2c744699dbc965b2c65fb4f784699c044f SHA1: 911910cdb2874dbbdf97b416dc1542f7b5a2f858 MD5sum: 8812f05a0ee7abaeedd707c6f04ef821 Description: pure-Python git object database The GitDB project implements interfaces to allow read and write access to git repositories. In its core lies the db package, which contains all database types necessary to read a complete git repository. These are the LooseObjectDB, the PackedDB and the ReferenceDB which are combined into the GitDB to combine every aspect of the git database. Package: python-jdcal Source: jdcal Version: 1.0-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 27 Depends: neurodebian-popularity-contest Homepage: https://github.com/phn/jdcal Priority: optional Section: python Filename: pool/main/j/jdcal/python-jdcal_1.0-1~nd14.04+1+nd14.10+1_all.deb Size: 7804 SHA256: 277f14017fcd5b5421271a9685e717c7ea0d9f02eb2ee7ea9e6ee7717fcc187b SHA1: ee00c68021b719b5b63becd9f66b65e57a0d9d7b MD5sum: c7a7e346c4e49d93f965c3996ac8df4b Description: Julian dates from proleptic Gregorian and Julian calendars This module contains functions for converting between Julian dates and calendar dates. . Different regions of the world switched to Gregorian calendar from Julian calendar on different dates. Having separate functions for Julian and Gregorian calendars allow maximum flexibility in choosing the relevant calendar. Package: python-joblib Source: joblib Version: 0.8.4-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 255 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8) Recommends: python-numpy, python-nose, python-simplejson Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python-joblib_0.8.4-1~nd14.04+1+nd14.10+1_all.deb Size: 64444 SHA256: 73ae5532445cda12a8bae1268dec73a1611327e5babcb4ee27f50eff7ff0a484 SHA1: 77c48c46c8c367858747a7f69f193098f9ccfe4f MD5sum: c8f05a4e819cf14f781d05418e4e9e66 Description: tools to provide lightweight pipelining in Python Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: . - transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) - easy simple parallel computing - logging and tracing of the execution . Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays. . This package contains the Python 2 version. Package: python-lda Source: lda Version: 1.0.2-9~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1246 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python-numpy Homepage: https://pythonhosted.org/lda/ Priority: optional Section: python Filename: pool/main/l/lda/python-lda_1.0.2-9~nd14.10+1_amd64.deb Size: 235360 SHA256: eab86b89b82b9420c76901df81ebda0d26d7230b3734d443c773c682b0df7045 SHA1: 548e4fe9aed7ff8f27371d6cfb09cdc278742f97 MD5sum: c3b61951779846187749c5b2922c2b0b Description: Topic modeling with latent Dirichlet allocation for Python 3 lda implements latent Dirichlet allocation (LDA) using collapsed Gibbs sampling. . This package contains the Python 2.7 module. Package: python-mne Version: 0.8.6+dfsg-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7181 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy, python-scipy, python-sklearn, python-matplotlib, python-joblib (>= 0.4.5), xvfb, xauth, libgl1-mesa-dri, help2man, libjs-jquery, libjs-jquery-ui Recommends: python-nose, mayavi2 Suggests: python-dap, ipython Provides: python2.7-mne Homepage: http://martinos.org/mne Priority: optional Section: python Filename: pool/main/p/python-mne/python-mne_0.8.6+dfsg-1~nd14.04+1+nd14.10+1_all.deb Size: 4023090 SHA256: 6924bb8cf834c40f1ded2738e42c5ecec5a9ae4e9619315beeeebad727ff22ef SHA1: ae91793e7673982ba3e9134486ebf98f881c2c2e MD5sum: e92df4275f65080c57caaa6700008a2e Description: Python modules for MEG and EEG data analysis This package is designed for sensor- and source-space analysis of MEG and EEG data, including frequency-domain and time-frequency analyses and non-parametric statistics. Package: python-mvpa2 Source: pymvpa2 Version: 2.4.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7903 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy, python-mvpa2-lib (>= 2.4.0-1~nd14.10+1) Recommends: python-h5py, python-lxml, python-matplotlib, python-mdp, python-nibabel, python-nipy, python-psutil, python-psyco, python-pywt, python-reportlab, python-scipy, python-sklearn, python-shogun, liblapack-dev, python-pprocess, python-statsmodels, python-joblib Suggests: fslview, fsl, python-mvpa2-doc, python-nose, python-openopt, python-rpy2 Provides: python2.7-mvpa2 Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2_2.4.0-1~nd14.10+1_all.deb Size: 5034384 SHA256: 7cc9bd49b5f1df97a23765657ffa200276d1ae638e96372b192b26c59d9884d6 SHA1: 91599e0cf2c289248e66d2b46407afcbc8e4b99e MD5sum: 55731f6661097fafe02b0d7f08551419 Description: multivariate pattern analysis with Python v. 2 PyMVPA eases pattern classification analyses of large datasets, with an accent on neuroimaging. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, Ridge Regressions, Sparse Multinomial Logistic Regression), and bindings to external machine learning libraries (libsvm, shogun). . While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it is eminently suited for such datasets. . This is a package of PyMVPA v.2. Previously released stable version is provided by the python-mvpa package. Python-Version: 2.7 Package: python-mvpa2-doc Source: pymvpa2 Version: 2.4.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 29065 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-mvpa2, python-mvpa2-tutorialdata, ipython-notebook Homepage: http://www.pymvpa.org Priority: optional Section: doc Filename: pool/main/p/pymvpa2/python-mvpa2-doc_2.4.0-1~nd14.10+1_all.deb Size: 4638292 SHA256: 5f0df538f2c1617f513e956899b7c52947a0d9f734496321f8a35ff0e5c4fd3f SHA1: 705baf5c57e5194247e6288c98253c24e47f374c MD5sum: 952a22bd78c86a01a853d74b19ce66a7 Description: documentation and examples for PyMVPA v. 2 This is an add-on package for the PyMVPA framework. It provides a HTML documentation (tutorial, FAQ etc.), and example scripts. In addition the PyMVPA tutorial is also provided as IPython notebooks. Package: python-mvpa2-lib Source: pymvpa2 Version: 2.4.0-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 119 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libsvm3, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.8.0), python-numpy-abi9 Provides: python2.7-mvpa2-lib Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2-lib_2.4.0-1~nd14.10+1_amd64.deb Size: 46508 SHA256: bfa71a19c549d40fb02e88aeaa95889d8914ef5204c5e5425d4009a4da786712 SHA1: 177e301d36601d0c36739289f0600e125cd036e0 MD5sum: c0b9de75322f0b6bcd720e09a9d24ba5 Description: low-level implementations and bindings for PyMVPA v. 2 This is an add-on package for the PyMVPA framework. It provides a low-level implementation of an SMLR classifier and custom Python bindings for the LIBSVM library. . This is a package of a development snapshot. The latest released version is provided by the python-mvpa-lib package. Python-Version: 2.7 Package: python-nibabel Source: nibabel Version: 2.0.1-2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 63246 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy, python-scipy Recommends: python-dicom, python-fuse Suggests: python-nibabel-doc Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python-nibabel_2.0.1-2~nd14.10+1_all.deb Size: 1971062 SHA256: b5762ed688970845cabe43a6fd24e8a5419749867a54eed40b0eec6e846da0dd SHA1: 28f6ba00ceaaa28a500e9b12b91490229aabfac4 MD5sum: 0600afcc0b95e6e695540b4ae8fd2784 Description: Python bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package also provides a commandline tools: . - dicomfs - FUSE filesystem on top of a directory with DICOMs - nib-ls - 'ls' for neuroimaging files - parrec2nii - for conversion of PAR/REC to NIfTI images Package: python-nibabel-doc Source: nibabel Version: 2.0.1-2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5520 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: doc Filename: pool/main/n/nibabel/python-nibabel-doc_2.0.1-2~nd14.10+1_all.deb Size: 2674962 SHA256: 1911e85a107cd202b6fe637fc107160e8ac26d5b676d5a27517e5595ec50b017 SHA1: fec2907357cb2ac6712cb08ece2e1b37142e4d91 MD5sum: 11a9de388a123c1de0986dac0a1082cc Description: documentation for NiBabel NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package provides the documentation in HTML format. Package: python-nilearn Source: nilearn Version: 0.1.4+git3-g60d2a1b~dfsg.1-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1861 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.6), python-nibabel (>= 1.1.0), python:any (<< 2.8), python:any (>= 2.7.5-5~), python-scipy (>= 0.9), python-sklearn (>= 0.12.1) Recommends: python-matplotlib Provides: python2.7-nilearn Homepage: https://nilearn.github.io Priority: extra Section: python Filename: pool/main/n/nilearn/python-nilearn_0.1.4+git3-g60d2a1b~dfsg.1-1~nd14.10+1_all.deb Size: 635686 SHA256: 8d8657ea7422b18b414fb3af44d887e3f41a0ba6ae63b88af58fbc2fa053b4a7 SHA1: 8c2bda1da4063cce756b3c2395739ef6b10800e1 MD5sum: c532796400fcf7ac4a91fdec52f992e1 Description: fast and easy statistical learning on neuroimaging data This Python module leverages the scikit-learn toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis. Python-Version: 2.7 Package: python-nipy Source: nipy Version: 0.3.0+git262-gbb838d7-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2953 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.2), python (>= 2.7), python (<< 2.8), python-scipy, python-nibabel, python-nipy-lib (>= 0.3.0+git262-gbb838d7-1~nd14.04+1+nd14.10+1) Recommends: python-matplotlib, mayavi2, python-sympy Suggests: python-mvpa Provides: python2.7-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: python Filename: pool/main/n/nipy/python-nipy_0.3.0+git262-gbb838d7-1~nd14.04+1+nd14.10+1_all.deb Size: 725114 SHA256: 1a77003966bd444bfb628bedf78ea68e980e4030226a85e8506085397b99b9d2 SHA1: 6f2a06371b9f30e640dcfd2d854e2e356100535d MD5sum: 18ef42027276010816c175440175de7f Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. It provides functionality for - General linear model (GLM) statistical analysis - Combined slice time correction and motion correction - General image registration routines with flexible cost functions, optimizers and re-sampling schemes - Image segmentation - Basic visualization of results in 2D and 3D - Basic time series diagnostics - Clustering and activation pattern analysis across subjects - Reproducibility analysis for group studies Python-Version: 2.7 Package: python-nipy-doc Source: nipy Version: 0.3.0+git262-gbb838d7-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8010 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Recommends: python-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: doc Filename: pool/main/n/nipy/python-nipy-doc_0.3.0+git262-gbb838d7-1~nd14.04+1+nd14.10+1_all.deb Size: 1147150 SHA256: a412040cace45e5316a228d73535986684f7678a7b0fb9266595523b3592179a SHA1: 2bd622f540678464be342f7fc91fec7a1baa1329 MD5sum: 29e1e56f131a5d725dd8bef54432cbe5 Description: documentation and examples for NiPy This package contains NiPy documentation in various formats (HTML, TXT) including * User manual * Developer guidelines * API documentation Package: python-nipy-lib Source: nipy Version: 0.3.0+git262-gbb838d7-1~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2529 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python-numpy (>= 1:1.8.0), python-numpy-abi9, python (>= 2.7), python (<< 2.8) Provides: python2.7-nipy-lib Homepage: http://neuroimaging.scipy.org Priority: extra Section: python Filename: pool/main/n/nipy/python-nipy-lib_0.3.0+git262-gbb838d7-1~nd14.04+1+nd14.10+1_amd64.deb Size: 593768 SHA256: 7cea60b4ef8a7b992246eab2b75382e9d0915a212130c5502609f930f96eff08 SHA1: c21cc5a394f1fd7dd6d8751c56930b29da43d378 MD5sum: afaf2dccf406ed9f3bca0dc6676753c0 Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides architecture-dependent builds of the libraries. Python-Version: 2.7 Package: python-nipy-lib-dbg Source: nipy Version: 0.3.0+git262-gbb838d7-1~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3636 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python-numpy (>= 1:1.8.0), python-numpy-abi9, python-dbg (>= 2.7), python-dbg (<< 2.8), python-nipy-lib (= 0.3.0+git262-gbb838d7-1~nd14.04+1+nd14.10+1) Provides: python2.7-nipy-lib-dbg Homepage: http://neuroimaging.scipy.org Priority: extra Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbg_0.3.0+git262-gbb838d7-1~nd14.04+1+nd14.10+1_amd64.deb Size: 609870 SHA256: 21b396ccbd3d4bb5100dcee41eff0ec10f152cc2eb01b622525f17b1e7d31238 SHA1: 402834e446e0a0cf103c5c11f45240a70ecf2e2c MD5sum: 2e989c4b0bb80799530d875325eefe3f Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides debugging symbols for architecture-dependent builds of the libraries. Python-Version: 2.7 Package: python-openpyxl Source: openpyxl Version: 2.3.0~b2-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1121 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-jdcal Recommends: python-pytest, python-pil, python-imaging, python-lxml Homepage: http://bitbucket.org/openpyxl/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python-openpyxl_2.3.0~b2-1~nd14.10+1_all.deb Size: 192482 SHA256: 8efe062c21fa267893811204fe2f8125947ab12029900bd9693d2537755f322b SHA1: 52167dcdd2a46f7b68810b0bcbdb01c77afc8c9d MD5sum: ac759e47656a7aed2f8c5302172c312d Description: module to read/write OpenXML xlsx/xlsm files Openpyxl is a pure Python module to read/write Excel 2007 (OpenXML) xlsx/xlsm files. Package: python-pandas Source: pandas Version: 0.16.2+git65-g054821d-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10573 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-dateutil, python-tz, python-numpy (>= 1:1.7~), python-pandas-lib (>= 0.16.2+git65-g054821d-1~nd14.10+1), python-six Recommends: python-scipy, python-matplotlib, python-tables, python-numexpr, python-xlrd, python-statsmodels, python-openpyxl, python-xlwt, python-bs4, python-html5lib, python-lxml Suggests: python-pandas-doc Provides: python2.7-pandas Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas_0.16.2+git65-g054821d-1~nd14.10+1_all.deb Size: 1502642 SHA256: 9b3f2f565fe5fa7e4a7f5a4f6475569caa3414b419d6684f7ca3c052515870ca SHA1: 0e5f06fc8af98d21e238f85113b650f05da9f619 MD5sum: 1583d6097c1f70f3dda109831358065e Description: data structures for "relational" or "labeled" data pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 2 version. Package: python-pandas-doc Source: pandas Version: 0.16.2+git65-g054821d-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35311 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-pandas Homepage: http://pandas.sourceforge.net Priority: optional Section: doc Filename: pool/main/p/pandas/python-pandas-doc_0.16.2+git65-g054821d-1~nd14.10+1_all.deb Size: 5338550 SHA256: d7a3cd13b08f7c174b4f1ce579b80b47b11269cb9476078d350179317b8cf0d0 SHA1: 09aee085a4c3fa389bd25685af8e870eacc99b09 MD5sum: 00270d4d2e8d50f0e29329594d5f31b6 Description: documentation and examples for pandas This package contains documentation and example scripts for python-pandas. Package: python-pandas-lib Source: pandas Version: 0.16.2+git65-g054821d-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5753 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python-numpy (>= 1:1.8.0), python-numpy-abi9, python (>= 2.7), python (<< 2.8) Provides: python2.7-pandas-lib Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas-lib_0.16.2+git65-g054821d-1~nd14.10+1_amd64.deb Size: 1527508 SHA256: 3650c596a724330dddd9f89a114a33fbbbc688711030b70afb1108e5f35405a7 SHA1: fb94bfe8d61c632fb44ac2b99c3d59aa66e547e7 MD5sum: 9177f8acbcc275ee6f71fbfedc1da24c Description: low-level implementations and bindings for pandas This is an add-on package for python-pandas providing architecture-dependent extensions. . This package contains the Python 2 version. Python-Version: 2.7 Package: python-patsy Source: patsy Version: 0.4.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 753 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-six, python-numpy Recommends: python-pandas, python-openpyxl Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python-patsy_0.4.0-1~nd14.10+1_all.deb Size: 168880 SHA256: 12e3e3facf57911e5e8b3513eae44139082311a10273515f881aa3f028e27773 SHA1: 653f77cb3c6436c5ae2f2f63ee5b17a6268c2bf5 MD5sum: 0c6f4a3a0a974f9b7fce963dbc323121 Description: statistical models in Python using symbolic formulas patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design matrices. . This package contains the Python 2 version. Package: python-patsy-doc Source: patsy Version: 0.4.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1328 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-patsy Homepage: http://github.com/pydata/patsy Priority: optional Section: doc Filename: pool/main/p/patsy/python-patsy-doc_0.4.0-1~nd14.10+1_all.deb Size: 356424 SHA256: 229987f7122f7a7ef435366057985d5b6ed7108acc8c263723f024890e7f5102 SHA1: a8b3f3ae687ff6cc2d572055f1608aca223515a4 MD5sum: d57517f60931ddf24ca8450fde7a8fc5 Description: documentation and examples for patsy This package contains documentation and example scripts for python-patsy. Package: python-pprocess Source: pprocess Version: 0.5-1+nd0~nd13.10+1+nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 716 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0) Homepage: http://www.boddie.org.uk/python/pprocess.html Priority: optional Section: python Filename: pool/main/p/pprocess/python-pprocess_0.5-1+nd0~nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 81916 SHA256: 94d23362986b973162bd51d1ce7a9ea2a805ba11633f3c6d36c46a4ad80a97d0 SHA1: 74e36bc6d60b64516fd8e1325defca5fc029cd78 MD5sum: 2c005ec72528191e27513246f15a6788 Description: elementary parallel programming for Python The pprocess module provides elementary support for parallel programming in Python using a fork-based process creation model in conjunction with a channel-based communications model implemented using socketpair and poll. On systems with multiple CPUs or multicore CPUs, processes should take advantage of as many CPUs or cores as the operating system permits. Python-Version: 2.7 Package: python-py Version: 1.4.30-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 269 Depends: neurodebian-popularity-contest, python:any (>= 2.7.5-5~), python:any (<< 2.8), python-pkg-resources Suggests: subversion, python-pytest, python-pytest-xdist Homepage: https://bitbucket.org/pytest-dev/py Priority: optional Section: python Filename: pool/main/p/python-py/python-py_1.4.30-1~nd14.10+1_all.deb Size: 66778 SHA256: 499c2e1f2dfcd4486f56164786a9c0cb5d87a87266610bb72d9f44bf05e4a2a8 SHA1: 016148ac1319eb19fc1c1f320f153c7c4c433c5a MD5sum: 51b145a8be18072a423b2334b755375d Description: Advanced Python development support library (Python 2) The Codespeak py lib aims at supporting a decent Python development process addressing deployment, versioning and documentation perspectives. It includes: . * py.path: path abstractions over local and Subversion files * py.code: dynamic code compile and traceback printing support . This package provides the Python 2 modules. Package: python-pyepl Source: pyepl Version: 1.1.0+git12-g365f8e3-2~nd13.10+1+nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1388 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-pyepl-common (= 1.1.0+git12-g365f8e3-2~nd13.10+1+nd14.04+1+nd14.10+1), python-numpy, python-imaging, python-pygame, python-pyode, python-opengl, ttf-dejavu, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libode1, libsamplerate0 (>= 0.1.7), libsndfile1 (>= 1.0.20), libstdc++6 (>= 4.4.0) Conflicts: python2.3-pyepl, python2.4-pyepl Replaces: python2.3-pyepl, python2.4-pyepl Provides: python2.7-pyepl Homepage: http://pyepl.sourceforge.net/ Priority: optional Section: python Filename: pool/main/p/pyepl/python-pyepl_1.1.0+git12-g365f8e3-2~nd13.10+1+nd14.04+1+nd14.10+1_amd64.deb Size: 284488 SHA256: 508d332fed47a518ec1c465abf5600c0b67739c504ab597a0054877c06fc0ac4 SHA1: 0a793fae6e5bbcf8c5e5a9efaa956295bd96a3dc MD5sum: b33848b597e96788bb1937260388e7f6 Description: module for coding psychology experiments in Python PyEPL is a stimuli delivery and response registration toolkit to be used for generating psychology (as well as neuroscience, marketing research, and other) experiments. . It provides - presentation: both visual and auditory stimuli - responses registration: both manual (keyboard/joystick) and sound (microphone) time-stamped - sync-pulsing: synchronizing your behavioral task with external acquisition hardware - flexibility of encoding various experiments due to the use of Python as a description language - fast execution of critical points due to the calls to linked compiled libraries . This toolbox is here to be an alternative for a widely used commercial product E'(E-Prime) . This package provides PyEPL for supported versions of Python. Package: python-pyepl-common Source: pyepl Version: 1.1.0+git12-g365f8e3-2~nd13.10+1+nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 813 Depends: neurodebian-popularity-contest, python Homepage: http://pyepl.sourceforge.net/ Priority: optional Section: python Filename: pool/main/p/pyepl/python-pyepl-common_1.1.0+git12-g365f8e3-2~nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 819446 SHA256: 361622ea80bc90c01667360e4b7f253bc756f23bdbe72e73485df62959812435 SHA1: de8f2e5f151e0d67671a43707c536a0a8495ccac MD5sum: 9fc9644a3800d3c3d38c65d1962a12ec Description: module for coding psychology experiments in Python PyEPL is a stimuli delivery and response registration toolkit to be used for generating psychology (as well as neuroscience, marketing research, and other) experiments. . It provides - presentation: both visual and auditory stimuli - responses registration: both manual (keyboard/joystick) and sound (microphone) time-stamped - sync-pulsing: synchronizing your behavioral task with external acquisition hardware - flexibility of encoding various experiments due to the use of Python as a description language - fast execution of critical points due to the calls to linked compiled libraries . This toolbox is here to be an alternative for a widely used commercial product E'(E-Prime) . This package provides common files such as images. Package: python-pymc Source: pymc Version: 2.3.4+ds-1~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1937 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.8.0), python-numpy-abi9, python-support (>= 0.90.0), libblas3 | libblas.so.3, libc6 (>= 2.14), libgfortran3 (>= 4.6), liblapack3 | liblapack.so.3, python-scipy, python-matplotlib, python-nose Recommends: python-tables Suggests: python-pydot, ipython Homepage: http://pymc-devs.github.com/pymc/ Priority: extra Section: python Filename: pool/main/p/pymc/python-pymc_2.3.4+ds-1~nd14.04+1+nd14.10+1_amd64.deb Size: 438284 SHA256: f77b7f2604879c79811894723dac6bee1759c635e2e8489ee0dc88ef6b86294e SHA1: f97ccf1e502e56e1c9b015e3e979c9efe647546b MD5sum: af7ff5bebdd57ee808efb669039b1828 Description: Bayesian statistical models and fitting algorithms PyMC is a Python module that implements Bayesian statistical models and fitting algorithms, including Markov chain Monte Carlo. Its flexibility and extensibility make it applicable to a large suite of problems. Along with core sampling functionality, PyMC includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics. Package: python-pymc-doc Source: pymc Version: 2.3.4+ds-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1860 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Homepage: http://pymc-devs.github.com/pymc/ Priority: extra Section: doc Filename: pool/main/p/pymc/python-pymc-doc_2.3.4+ds-1~nd14.04+1+nd14.10+1_all.deb Size: 839966 SHA256: 85ef012bbb62d9b60a10fb8de353f0a7bc2683b9e3ac798bff131ff7ffb18ed8 SHA1: 562addbfff5429c9164bd794b9c6522530df0734 MD5sum: 23c0df6c1ab2060decad3986d7024748 Description: Bayesian statistical models and fitting algorithms PyMC is a Python module that implements Bayesian statistical models and fitting algorithms, including Markov chain Monte Carlo. Its flexibility and extensibility make it applicable to a large suite of problems. Along with core sampling functionality, PyMC includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics. . This package provides the documentation in HTML format. Package: python-pynn Source: pynn Version: 0.7.5-1~nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 763 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0) Recommends: python-jinja2, python-cheetah Suggests: python-neuron, python-brian, python-csa Homepage: http://neuralensemble.org/trac/PyNN Priority: extra Section: python Filename: pool/main/p/pynn/python-pynn_0.7.5-1~nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 123212 SHA256: 5aec823d5a5dac31e612eb7ae0a3f2de5a33d39414362763afbe247df86ae3a5 SHA1: bb88b654777bc5e4142ee1d390f9cdcd72b1613f MD5sum: 08215c079d68feb36667cb2814601ce8 Description: simulator-independent specification of neuronal network models PyNN allows for coding a model once and run it without modification on any simulator that PyNN supports (currently NEURON, NEST, PCSIM and Brian). PyNN translates standard cell-model names and parameter names into simulator-specific names. Package: python-pypsignifit Source: psignifit3 Version: 3.0~beta.20120611.1-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1647 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.9), python (<< 2.8), python (>= 2.7), python-support (>= 0.90.0), python-numpy, python-matplotlib, python-scipy Homepage: http://psignifit.sourceforge.net Priority: extra Section: python Filename: pool/main/p/psignifit3/python-pypsignifit_3.0~beta.20120611.1-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1_amd64.deb Size: 345612 SHA256: 07625443fb59b1c1e83d48aa0668eee05b1bed2a2ec1fcfbeba4b966d229fc97 SHA1: b8aecd80b2c662d34ec2a212f2f9ea32f9aa3a86 MD5sum: 2eae46715c81a289698a3650859de229 Description: psychometric analysis of psychophysics data in Python Psignifit allows fitting of psychometric functions to datasets while maintaining full control over a large number of parameters. Psignifit performs the calculation of confidence intervals as well as goodness-of-fit tests. In addition it offers: . * full Bayesian treatment of psychometric functions including Bayesian model selection and goodness of fit assessment * identification of influential observations and outlier detection * flexible shape definition of the psychometric function . This package provides the Python bindings. Package: python-pytest Source: pytest Version: 2.7.2-2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 424 Depends: neurodebian-popularity-contest, python-pkg-resources, python-py (>= 1.4.29), python:any (>= 2.7.5-5~), python, python:any (<< 2.8) Suggests: python-mock (>= 1.0.1) Homepage: http://pytest.org/ Priority: optional Section: python Filename: pool/main/p/pytest/python-pytest_2.7.2-2~nd14.10+1_all.deb Size: 102450 SHA256: aad3a05ca34b5684a11e4d33209dc097e617ef3c5b3299bfcfe2595adbfa5ebc SHA1: 595b79c27c3e5188137ee5a7ec699bdf439b34e7 MD5sum: 2021eab0787da967eb30cb23200b5f8c Description: Simple, powerful testing in Python This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. Package: python-pytest-doc Source: pytest Version: 2.7.2-2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2879 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Recommends: python-pytest | python3-pytest Homepage: http://pytest.org/ Priority: optional Section: doc Filename: pool/main/p/pytest/python-pytest-doc_2.7.2-2~nd14.10+1_all.deb Size: 401862 SHA256: b45653894b0c54bf7714f02761f753803d2546068b07dcbbdf40fe97ff79b13c SHA1: d15c5e5770ffeb16f7f8e6ba0834ccc8f558df25 MD5sum: d2c268f009f9e88f46b961efd37b2d13 Description: Simple, powerful testing in Python - Documentation This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. . This package contains the documentation for pytest. Package: python-pytest-localserver Source: pytest-localserver Version: 0.3.4-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 Depends: neurodebian-popularity-contest, python-pytest, python-werkzeug (>= 0.10), python:any (>= 2.7.5-5~), python:any (<< 2.8) Homepage: https://pypi.python.org/pypi/pytest-localserver Priority: optional Section: python Filename: pool/main/p/pytest-localserver/python-pytest-localserver_0.3.4-1~nd14.10+1_all.deb Size: 18268 SHA256: 1dddf5032f11db9707ccea8392e212d5c58d2dc76b71728bc0d0d587e511fe72 SHA1: 35bc9303618ed91c77c7d4479003a8489cba2e4a MD5sum: 456bb12be494a5f6cda14efbb3cf0708 Description: py.test plugin to test server connections locally (Python 2) pytest-localserver is a plugin for the Pytest testing framework which enables to test server connections locally. . This package contains the modules for Python 2. Package: python-pytest-tornado Source: pytest-tornado Version: 0.4.4-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-tornado, python-pytest Homepage: https://github.com/eugeniy/pytest-tornado Priority: optional Section: python Filename: pool/main/p/pytest-tornado/python-pytest-tornado_0.4.4-1~nd14.10+1_all.deb Size: 5748 SHA256: af76018796af07e26f9bbd898734efa0ac29285b807cdb2f55b56df9e26f83d8 SHA1: d6fddc284bf7d182f97735114078d72c22d53769 MD5sum: c23de8c96e4b24ea5656ba5c1ba68e55 Description: py.test plugin to test Tornado applications pytest-tornado is a plugin for the Pytest testing framework which provides fixtures and markers to simplify testing of Tornado applications (Python web framework and ansynchronous networking library). . This package contains the plugin for Python 2 code. Package: python-scikits-learn Source: scikit-learn Version: 0.16.1-2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 51 Depends: neurodebian-popularity-contest, python-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: oldlibs Filename: pool/main/s/scikit-learn/python-scikits-learn_0.16.1-2~nd14.10+1_all.deb Size: 47872 SHA256: 368fb146a242572a44bd36ef222e4bffb27836d9542c3ab623bd540d01aa7fa4 SHA1: 1f9ebb8585891068323e0aa00d43abe3c0bde7e6 MD5sum: f86ed1aa53f15a5dbf3f8ac2f8b0071a Description: transitional compatibility package for scikits.learn -> sklearn migration Provides old namespace (scikits.learn) and could be removed if dependent code migrated to use sklearn for clarity of the namespace. Package: python-scrapy Version: 1.0.3-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 812 Depends: neurodebian-popularity-contest, python-boto, python-cssselect, python-libxml2, python-lxml, python-queuelib, python-twisted-conch, python-twisted-core, python-twisted-mail, python-twisted-web, python-w3lib (>= 1.8), python, python-openssl, python:any (>= 2.7.5-5~), python:any (<< 2.8), python-twisted, python-six, python-service-identity Recommends: ipython, python-django, python-guppy, python-imaging, python-mysqldb, python-pygments, python-simplejson | python (>= 2.6) Provides: python2.7-scrapy Homepage: http://scrapy.org/ Priority: optional Section: python Filename: pool/main/p/python-scrapy/python-scrapy_1.0.3-1~nd14.10+1_all.deb Size: 176666 SHA256: 6bfa4de5d630b62d19a355ec255bb19878fd46c4d0ba1529bd761d4bd72ad3d5 SHA1: 0dd41295ea26052a24995c191116f4b32f721c63 MD5sum: 3ddc64b984878299edeab922421fbcce Description: Python web scraping and crawling framework Scrapy is a fast high-level screen scraping and web crawling framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing. . This package provides the python-scrapy script and modules. Package: python-scrapy-doc Source: python-scrapy Version: 1.0.3-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7045 Depends: neurodebian-popularity-contest Recommends: libjs-jquery, libjs-underscore Homepage: http://scrapy.org/ Priority: optional Section: doc Filename: pool/main/p/python-scrapy/python-scrapy-doc_1.0.3-1~nd14.10+1_all.deb Size: 1563280 SHA256: 8d0706544557de31c22c225e948f889d4f70eae4ac0b01908c5707dabbd8bf62 SHA1: e17c7e2047856e99fad0b588374c09678366e5af MD5sum: 8d7151ad57ba914e4b60973b0ab5ff28 Description: Python web scraping and crawling framework documentation Scrapy is a fast high-level screen scraping and web crawling framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing. . This package provides the python-scrapy documentation in HTML format. Package: python-seaborn Source: seaborn Version: 0.6.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 676 Depends: neurodebian-popularity-contest, python:any (>= 2.7.5-5~), python:any (<< 2.8), python-numpy, python-scipy, python-pandas, python-matplotlib Recommends: python-statsmodels, python-patsy Homepage: https://github.com/mwaskom/seaborn Priority: optional Section: python Filename: pool/main/s/seaborn/python-seaborn_0.6.0-1~nd14.10+1_all.deb Size: 117832 SHA256: bf1c7f05545bef21ac4a976a65a5692c54be712b01c4d29b2913185e2c9069f2 SHA1: 30c7c9c3b3c45a5f1f8652b11b21805865d939dc MD5sum: 1ffde2fd4cab629dc1b4e6cdcb332d1e Description: statistical visualization library Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels. . Some of the features that seaborn offers are . - Several built-in themes that improve on the default matplotlib aesthetics - Tools for choosing color palettes to make beautiful plots that reveal patterns in your data - Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data - Tools that fit and visualize linear regression models for different kinds of independent and dependent variables - A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate - High-level abstractions for structuring grids of plots that let you easily build complex visualizations . This is the Python 2 version of the package. Package: python-six Source: six Version: 1.9.0-3~bpo8+1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 34 Depends: neurodebian-popularity-contest, python:any (>= 2.7.5-5~), python:any (<< 2.8) Multi-Arch: foreign Homepage: http://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python-six_1.9.0-3~bpo8+1~nd14.10+1_all.deb Size: 11104 SHA256: 0b618d1534b0df58ca2c7ed9f523cdc65057309ffea15b65cbff7a7bbdf62f4a SHA1: 283a26e6128927f4160bf64fd34542035213c669 MD5sum: b3cba99dba5982d836994456e94e2786 Description: Python 2 and 3 compatibility library (Python 2 interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the Python 2 module path. It is complemented by python3-six. Package: python-six-whl Source: six Version: 1.9.0-3~bpo8+1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13 Depends: neurodebian-popularity-contest Multi-Arch: foreign Homepage: http://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python-six-whl_1.9.0-3~bpo8+1~nd14.10+1_all.deb Size: 13322 SHA256: 1db888dd6a052b7703ab8305f3c16a7eb5ef8ddfae7bcfaf8de83bbf7327f717 SHA1: ed6f63c5ef851b306484160281f8b1a20af8e393 MD5sum: 18714212c5cdb6b07ce20aa9625661dc Description: Python 2 and 3 compatibility library (universal wheel) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six as a universal wheel. Package: python-sklearn Source: scikit-learn Version: 0.16.1-2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4588 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-numpy, python-scipy, python-sklearn-lib (>= 0.16.1-2~nd14.10+1), python-joblib (>= 0.4.5) Recommends: python-nose, python-matplotlib Suggests: python-dap, python-scikits-optimization, python-sklearn-doc, ipython Enhances: python-mdp, python-mvpa2 Breaks: python-scikits-learn (<< 0.9~) Replaces: python-scikits-learn (<< 0.9~) Provides: python2.7-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-sklearn_0.16.1-2~nd14.10+1_all.deb Size: 1112656 SHA256: 87b28aec160e429fe5cbf4ce64ed3e75823e3d106209f42373ab6d6eed5e6b11 SHA1: f16864c11d0dab7b35a7a027a3040b45d35c275b MD5sum: 6d125fcfe844271d258f584988bb1c37 Description: Python modules for machine learning and data mining scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) Package: python-sklearn-doc Source: scikit-learn Version: 0.16.1-2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23590 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-sklearn Conflicts: python-scikits-learn-doc Replaces: python-scikits-learn-doc Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: doc Filename: pool/main/s/scikit-learn/python-sklearn-doc_0.16.1-2~nd14.10+1_all.deb Size: 3967300 SHA256: 375985bb4219725fda828112a68a5f0e8fe80c2f241776703f7af8e6ca0c9373 SHA1: 6824b3972401332394b4b60057c7c4b0b584f04e MD5sum: 87601eb9e3baeab8d163083e6d6e0224 Description: documentation and examples for scikit-learn This package contains documentation and example scripts for python-sklearn. Package: python-sklearn-lib Source: scikit-learn Version: 0.16.1-2~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4513 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), python-numpy (>= 1:1.8.0), python-numpy-abi9, python (<< 2.8), python (>= 2.7~) Conflicts: python-scikits-learn-lib Replaces: python-scikits-learn-lib Provides: python2.7-sklearn-lib Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-sklearn-lib_0.16.1-2~nd14.10+1_amd64.deb Size: 1018186 SHA256: b567f1faaf6a617f9f5f24b64a96d3af33c338702ec397bf0ff8f42938bd9aee SHA1: bba494f479450cb340a2e4fb27fd20c5fa574ed0 MD5sum: 3b6ed02c7e666039a85c49ef0edbaf78 Description: low-level implementations and bindings for scikit-learn This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. Package: python-smmap Version: 0.9.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 68 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8) Suggests: python-nose Provides: python2.7-smmap Homepage: https://github.com/Byron/smmap Priority: extra Section: python Filename: pool/main/p/python-smmap/python-smmap_0.9.0-1~nd14.10+1_all.deb Size: 20088 SHA256: 341c5fa5305cead651b6cd692c193861cfc54a547457af953e5042357cd956b1 SHA1: a9d80e005ecfa89203d39e33ba7ef3d226935e40 MD5sum: b5e990743061e08ebfe504200db22e66 Description: pure Python implementation of a sliding window memory map manager Smmap wraps an interface around mmap and tracks the mapped files as well as the amount of clients who use it. If the system runs out of resources, or if a memory limit is reached, it will automatically unload unused maps to allow continued operation. Package: python-sphinx-rtd-theme Source: sphinx-rtd-theme Version: 0.1.8-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 332 Depends: neurodebian-popularity-contest, fonts-font-awesome, fonts-lato, libjs-modernizr, python:any (>= 2.7.5-5~), python:any (<< 2.8) Recommends: python-sphinx Homepage: https://github.com/snide/sphinx_rtd_theme Priority: optional Section: python Filename: pool/main/s/sphinx-rtd-theme/python-sphinx-rtd-theme_0.1.8-1~nd14.10+1_all.deb Size: 117176 SHA256: a00e9a7789321536d4076cbd655f61d787a9add8101681d67e0419c243048986 SHA1: aa53a9597f94bc693b6b8b858b33004ffc48ab7c MD5sum: 79ac4792601caa9cf89ac9787c31d59b Description: sphinx theme from readthedocs.org (Python 2) This mobile-friendly sphinx theme was initially created for readthedocs.org, but can be incorporated in any project. . Among other things, it features a left panel with a browseable table of contents, and a search bar. . This is the Python 2 version of the package. Package: python-stfio Source: stimfit Version: 0.14.10-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 910 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.8.0), python-numpy-abi9, libbiosig1, libblas3 | libblas.so.3, libc6 (>= 2.14), libcholmod2.1.2, libfftw3-double3, libgcc1 (>= 1:4.1.1), libhdf5-7, liblapack3 | liblapack.so.3, libpython2.7 (>= 2.7), libstdc++6 (>= 4.9), libbiosig-dev, libsuitesparse-dev Recommends: python-matplotlib, python-scipy, python-pandas Provides: python2.7-stfio Homepage: http://www.stimfit.org Priority: optional Section: python Filename: pool/main/s/stimfit/python-stfio_0.14.10-1~nd14.10+1_amd64.deb Size: 309700 SHA256: 8f6d88c18f68e92eaed3fce5b6f7080b3a1c46b7a1614fe87bca454758602ccd SHA1: 48240e3cb3f2bc97cda57d3feebd57ace1dedf27 MD5sum: d93b1add37f16329179a9891c340fc56 Description: Python module to read common electrophysiology file formats. The stfio module allows you to read common electrophysiology file formats from Python. Axon binaries (abf), Axon text (atf), HEKA (dat), CFS (dat/cfs), Axograph (axgd/axgx) are currently supported. Package: python-surfer Source: pysurfer Version: 0.5-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 154 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy, python-scipy, python-nibabel, python-pil | python-imaging, mayavi2, python-argparse Recommends: mencoder Homepage: http://pysurfer.github.com Priority: extra Section: python Filename: pool/main/p/pysurfer/python-surfer_0.5-1~nd14.04+1+nd14.10+1_all.deb Size: 38718 SHA256: 216a02d26692d1418db52af2896d8f9430f7da88e2d71864df87b518d2115df5 SHA1: 11e30cc73a3d6a3c0eb963cad9408b21d338bf42 MD5sum: d1ab44e37b2d05fb17e1f19b6898a758 Description: visualize Freesurfer's data in Python This is a Python package for visualization and interaction with cortical surface representations of neuroimaging data from Freesurfer. It extends Mayavi’s powerful visualization engine with a high-level interface for working with MRI and MEG data. . PySurfer offers both a command-line interface designed to broadly replicate Freesurfer’s Tksurfer program as well as a Python library for writing scripts to efficiently explore complex datasets. Python-Version: 2.7 Package: python-vtk-dicom Source: vtk-dicom Version: 0.5.5-2~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 495 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libpython2.7 (>= 2.7), libstdc++6 (>= 4.1.1), libvtk-dicom0.5, libvtk5.8, python-vtk Provides: python2.7-vtk-dicom Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: python Filename: pool/main/v/vtk-dicom/python-vtk-dicom_0.5.5-2~nd14.10+1_amd64.deb Size: 96848 SHA256: 9c0c9c8f570af0293a237a6ff85bfc9960dfae68cefe7fceb1192f3fae4908db SHA1: 3409c5dbef7efa609206beffa6e39934f6199b0e MD5sum: 00658afaf9a3258a0e0882bd8a4b35fc Description: DICOM for VTK - python This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Python 2.x bindings Package: python-w3lib Version: 1.11.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 40 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-six (>= 1.6.1) Homepage: http://pypi.python.org/pypi/w3lib Priority: optional Section: python Filename: pool/main/p/python-w3lib/python-w3lib_1.11.0-1~nd14.10+1_all.deb Size: 14192 SHA256: 7889fa0d4ffdcb5701756ede6d88baf798eddfb8c490fb99131113c64a7fffab SHA1: 720251e5fdc13a88795e0b99c5b1d417fd8a0a0e MD5sum: 98d684999a66701bddf93ef34ba6c38b Description: Collection of web-related functions for Python (Python 2) Python module with simple, reusable functions to work with URLs, HTML, forms, and HTTP, that aren’t found in the Python standard library. . This module is used to, for example: - remove comments, or tags from HTML snippets - extract base url from HTML snippets - translate entites on HTML strings - encoding mulitpart/form-data - convert raw HTTP headers to dicts and vice-versa - construct HTTP auth header - RFC-compliant url joining - sanitize urls (like browsers do) - extract arguments from urls . The code of w3lib was originally part of the Scrapy framework but was later stripped out of Scrapy, with the aim of make it more reusable and to provide a useful library of web functions without depending on Scrapy. . This is the Python 2 version of the package. Package: python-werkzeug Version: 0.10.4+dfsg1-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 727 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), libjs-jquery Recommends: python-simplejson | python (>= 2.6), python-openssl, python-pyinotify Suggests: ipython, python-genshi, python-pkg-resources, python-lxml, python-greenlet, python-redis, python-pylibmc | python-memcache, python-werkzeug-doc Homepage: http://werkzeug.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-werkzeug/python-werkzeug_0.10.4+dfsg1-1~nd14.10+1_all.deb Size: 163390 SHA256: 432e41161a84102415e3104171fd1296fd8216b57f1d4ad47a656a474797ef9c SHA1: 245df3aa3a0aa83b8bfb0a61bd34f700f0e03ed6 MD5sum: 9593e658a01c070b54447de968f03695 Description: collection of utilities for WSGI applications The Web Server Gateway Interface (WSGI) is a standard interface between web server software and web applications written in Python. . Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: python-werkzeug-doc Source: python-werkzeug Version: 0.10.4+dfsg1-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2559 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Conflicts: python-werkzeug (<< 0.9.3+dfsg-2) Replaces: python-werkzeug (<< 0.9.3+dfsg-2) Homepage: http://werkzeug.pocoo.org/ Priority: extra Section: doc Filename: pool/main/p/python-werkzeug/python-werkzeug-doc_0.10.4+dfsg1-1~nd14.10+1_all.deb Size: 880258 SHA256: 102c000b1dec3006a499c68e8c163211be779a64776693c6e8a4554ba8e98fc5 SHA1: 460690e597f25478f734e356bd4e7181aa79e50d MD5sum: 80c74a8abe169a047746a44c8deb1797 Description: documentation for the werkzeug Python library Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: python3-citeproc Source: citeproc-py Version: 0.3.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 731 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3, python3-lxml Homepage: https://github.com/brechtm/citeproc-py Priority: optional Section: python Filename: pool/main/c/citeproc-py/python3-citeproc_0.3.0-1~nd14.10+1_all.deb Size: 82038 SHA256: d4ed393b012660ee0455f88099aad2cd672f196eadf1fb57a155aad32bee980a SHA1: 252d45eb46c5e9da64b106c057c199feb7b86804 MD5sum: eb511d73db4d05a2ea08c6eafe3eab4b Description: Citation Style Language (CSL) processor for Python3 Citeproc-py is a library that produces formatted bibliographies and citations from bibliographic databases following formatting instructions provided by XML style files written in the Citation Style Language (CSL). . Currently, BibTeX and JSON are supported as input database formats, and plain text, reStructuredText and HTML as output format. . This package contains the Python 3 modules and the CLI tool csl_unsorted. Package: python3-datalad Source: datalad Version: 0.17.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4665 Depends: neurodebian-popularity-contest, git-annex (>= 8.20200309~) | git-annex-standalone (>= 8.20200309~), patool, p7zip-full, python3 (>= 3.7), python3-annexremote, python3-distro, python3-distutils | libpython3-stdlib (<= 3.6.4~rc1-2), python3-fasteners (>= 0.14~), python3-gitlab, python3-humanize, python3-importlib-metadata | python3 (>> 3.10), python3-iso8601, python3-keyring, python3-keyrings.alt | python3-keyring (<= 8), python3-mock, python3-msgpack, python3-pil, python3-platformdirs, python3-requests (>= 1.2), python3-secretstorage, python3-simplejson, python3-six, python3-tqdm, python3-chardet, python3-packaging, python3:any Recommends: python3-boto, python3-exif, python3-html5lib, python3-httpretty, python3-jsmin, python3-libxmp, python3-lzma, python3-mutagen, python3-pytest, python3-pyperclip, python3-requests-ftp, python3-vcr, python3-whoosh Suggests: python3-duecredit, datalad-container, datalad-crawler, datalad-neuroimaging, python3-bs4, python3-numpy Breaks: datalad-container (<< 1.1.2) Homepage: https://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python3-datalad_0.17.5-1~nd+1_all.deb Size: 958872 SHA256: 1f3e16c16863bab40ba92405109ab26c78f19e3e86e2b38733a035221c4e7744 SHA1: 873da190eb5ee83576ff519c2d564e1f841abe5b MD5sum: 7a97a6f55929cc103dd60d7783a9565e Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package installs the module for Python 3, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends. Package: python3-jdcal Source: jdcal Version: 1.0-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: neurodebian-popularity-contest Homepage: https://github.com/phn/jdcal Priority: optional Section: python Filename: pool/main/j/jdcal/python3-jdcal_1.0-1~nd14.04+1+nd14.10+1_all.deb Size: 7614 SHA256: cc3dcd93ddd416b1e50a2bddd1cd7b0316b2818085cec9d2c0c29384f62899a2 SHA1: 2978e517cafec28c92aeee6d67b895580ca628b8 MD5sum: 0ca065002880e278c4a0ab308eda75c9 Description: Julian dates from proleptic Gregorian and Julian calendars This module contains functions for converting between Julian dates and calendar dates. . Different regions of the world switched to Gregorian calendar from Julian calendar on different dates. Having separate functions for Julian and Gregorian calendars allow maximum flexibility in choosing the relevant calendar. Package: python3-joblib Source: joblib Version: 0.8.4-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 251 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Recommends: python3-numpy, python3-nose, python3-simplejson Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python3-joblib_0.8.4-1~nd14.04+1+nd14.10+1_all.deb Size: 61598 SHA256: c6257f5316ed1f8483c54fe65a7249032db4ec43f81b23c87a94d14d11bff7db SHA1: 5fc42e9a72468b81fd19b73e37099a712dc2677d MD5sum: 6486bfc1af0cc66478ab1b708b590a11 Description: tools to provide lightweight pipelining in Python Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: . - transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) - easy simple parallel computing - logging and tracing of the execution . Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays. . This package contains the Python 3 version. Package: python3-lda Source: lda Version: 1.0.2-9~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1242 Depends: neurodebian-popularity-contest, python3-numpy, python3 (>= 3.4~), python3 (<< 3.5), python3-pbr, libc6 (>= 2.14) Homepage: https://pythonhosted.org/lda/ Priority: optional Section: python Filename: pool/main/l/lda/python3-lda_1.0.2-9~nd14.10+1_amd64.deb Size: 234660 SHA256: f5c546a739699aa6b9af3b3b629ed8cab68fa6ef9d69b7eb2150077fed9c69ed SHA1: 57915cd549d1589e048486441825f37b55ef24cc MD5sum: 3e90baed776673372b5eb4af530c6f9f Description: Topic modeling with latent Dirichlet allocation lda implements latent Dirichlet allocation (LDA) using collapsed Gibbs sampling. . This package contains the Python 3.x module. Package: python3-nibabel Source: nibabel Version: 2.0.1-2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 63216 Depends: neurodebian-popularity-contest, python3-numpy, python3-scipy Suggests: python-nibabel-doc, python3-dicom, python3-fuse Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python3-nibabel_2.0.1-2~nd14.10+1_all.deb Size: 1962148 SHA256: 51264dee7064e2494cdc3b33870315c34761031ad7e44fd868f77223299f687f SHA1: ac775fe16541e1a133221088b8301e61f8ed9c1a MD5sum: 20334b8bb0f03c74f34e07d8a70aecfe Description: Python3 bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. Package: python3-openpyxl Source: openpyxl Version: 2.3.0~b2-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1115 Depends: neurodebian-popularity-contest, python3-jdcal, python3:any (>= 3.3.2-2~) Recommends: python3-pytest, python3-pil, python3-lxml Homepage: http://bitbucket.org/openpyxl/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python3-openpyxl_2.3.0~b2-1~nd14.10+1_all.deb Size: 190916 SHA256: 09c3c9146c0f27e5f8d75fb3b87b947f160a732f531ae67df5b1a9970dbc54bb SHA1: 5f6b25213881c30ba5ed5de58df9a163ff996dbb MD5sum: 4bb98d46abf4b5ecfcc64719d4730b4e Description: module to read/write OpenXML xlsx/xlsm files Openpyxl is a pure Python module to read/write Excel 2007 (OpenXML) xlsx/xlsm files. Package: python3-pandas Source: pandas Version: 0.16.2+git65-g054821d-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10556 Depends: neurodebian-popularity-contest, python3-tz, python3-dateutil, python3:any (>= 3.3.2-2~), python3-numpy (>= 1:1.7~), python3-pandas-lib (>= 0.16.2+git65-g054821d-1~nd14.10+1) Recommends: python3-scipy, python3-matplotlib, python3-numexpr, python3-tables, python3-bs4, python3-html5lib, python3-six, python3-lxml Suggests: python-pandas-doc Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas_0.16.2+git65-g054821d-1~nd14.10+1_all.deb Size: 1499924 SHA256: 651fa11cea99ddbe06bff2e0214f22df9654c02c1569e74db34d35cd9afde2a6 SHA1: 648cba08334da04b40e141cf71eeaba1a4ed951e MD5sum: f66f08e07a6e60d9ffc612b61ad80a3d Description: data structures for "relational" or "labeled" data - Python 3 pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 3 version. Package: python3-pandas-lib Source: pandas Version: 0.16.2+git65-g054821d-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5577 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python3-numpy (>= 1:1.8.0), python3-numpy-abi9, python3 (>= 3.4~), python3 (<< 3.5) Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas-lib_0.16.2+git65-g054821d-1~nd14.10+1_amd64.deb Size: 1462004 SHA256: bf4835c892205cd164e1bd382b9366056ce40bd20526625eb8d58da1a98b589c SHA1: 6a4374441276e64dc688ec1b2395993022171041 MD5sum: 542c767eac6574110e0fda6c7d364ece Description: low-level implementations and bindings for pandas - Python 3 This is an add-on package for python-pandas providing architecture-dependent extensions. . This package contains the Python 3 version. Package: python3-patsy Source: patsy Version: 0.4.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 751 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-six, python3-numpy Recommends: python3-pandas Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python3-patsy_0.4.0-1~nd14.10+1_all.deb Size: 168322 SHA256: c48758942f1c9860a7d8aa282b8755343ce954df6dd1e776d0d2767d330a271c SHA1: 73529edd117758c0ba7491a5e038814e2c24f289 MD5sum: 3b7be5f6f7084696aae048d4b72ab431 Description: statistical models in Python using symbolic formulas patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design matrices. . This package contains the Python 3 version. Package: python3-py Source: python-py Version: 1.4.30-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 270 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-pkg-resources Suggests: subversion, python3-pytest Homepage: https://bitbucket.org/pytest-dev/py Priority: optional Section: python Filename: pool/main/p/python-py/python3-py_1.4.30-1~nd14.10+1_all.deb Size: 66826 SHA256: 8d17e4947c627b0015303edb3f107d3237f2e615df25cce628b03aef24b385c9 SHA1: e603dabb5dd3c11e783bea0ffaaf0371d047ed46 MD5sum: f6f0e6f6657e7939f4902f775b631709 Description: Advanced Python development support library (Python 3) The Codespeak py lib aims at supporting a decent Python development process addressing deployment, versioning and documentation perspectives. It includes: . * py.path: path abstractions over local and Subversion files * py.code: dynamic code compile and traceback printing support . This package provides the Python 3 modules. Package: python3-pytest Source: pytest Version: 2.7.2-2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 424 Depends: neurodebian-popularity-contest, python3-pkg-resources, python3-py (>= 1.4.29), python3:any (>= 3.3.2-2~), python3 Homepage: http://pytest.org/ Priority: optional Section: python Filename: pool/main/p/pytest/python3-pytest_2.7.2-2~nd14.10+1_all.deb Size: 102646 SHA256: c899d6709f2a71e93c53bbc469f33cde930397fbbcdd5a69709720178be0781a SHA1: 373225960ac2f24e861e099c955dc10be12278b4 MD5sum: 489a0e58e7e7d02523203ffbe6a34a0d Description: Simple, powerful testing in Python3 This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. . This package provides the Python 3 module and the py3.test script. Package: python3-pytest-localserver Source: pytest-localserver Version: 0.3.4-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 Depends: neurodebian-popularity-contest, python3-pytest, python3-werkzeug (>= 0.10), python3:any (>= 3.3.2-2~) Homepage: https://pypi.python.org/pypi/pytest-localserver Priority: optional Section: python Filename: pool/main/p/pytest-localserver/python3-pytest-localserver_0.3.4-1~nd14.10+1_all.deb Size: 18346 SHA256: c3fb8104c0c91b0991bedbcc5091b7ef877b953665ad36ed36d9f601fecc0672 SHA1: 65c60e6a05274a57c5ce18d8d1e95f0be382e116 MD5sum: b01fc412ade13ad577e8031cc1180d51 Description: py.test plugin to test server connections locally (Python 3) pytest-localserver is a plugin for the Pytest testing framework which enables to test server connections locally. . This package contains the modules for Python 3. Package: python3-pytest-tornado Source: pytest-tornado Version: 0.4.4-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-tornado, python3-pytest Homepage: https://github.com/eugeniy/pytest-tornado Priority: optional Section: python Filename: pool/main/p/pytest-tornado/python3-pytest-tornado_0.4.4-1~nd14.10+1_all.deb Size: 5834 SHA256: 9feaada78d4610aee1ec55fc14fba0881836bf504f9f5874cc4750bb2b89631b SHA1: 0218b14d62d956011ed6dcbaa5a85d36c2babff0 MD5sum: 6758db6c9c237c2ff09028d74fc2e30d Description: py.test plugin to test Tornado applications (Python 3) pytest-tornado is a plugin for the Pytest testing framework which provides fixtures and markers to simplify testing of Tornado applications (Python web framework and ansynchronous networking library). . This package contains the plugin for Python 3 code. Package: python3-seaborn Source: seaborn Version: 0.6.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 676 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-numpy, python3-scipy, python3-pandas, python3-matplotlib Recommends: python3-patsy Homepage: https://github.com/mwaskom/seaborn Priority: optional Section: python Filename: pool/main/s/seaborn/python3-seaborn_0.6.0-1~nd14.10+1_all.deb Size: 117896 SHA256: 996f5c545f51c8b8796a5cc5342d8b277a9db56b81cbb75f4672984d5f8668b6 SHA1: 38f7841fbc8c22b8bbeff4703a171d985fe434b8 MD5sum: 6889e10e26d9d7ba9aec729736c4e4f8 Description: statistical visualization library Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels. . Some of the features that seaborn offers are . - Several built-in themes that improve on the default matplotlib aesthetics - Tools for choosing color palettes to make beautiful plots that reveal patterns in your data - Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data - Tools that fit and visualize linear regression models for different kinds of independent and dependent variables - A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate - High-level abstractions for structuring grids of plots that let you easily build complex visualizations . This is the Python 3 version of the package. Package: python3-six Source: six Version: 1.9.0-3~bpo8+1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~) Multi-Arch: foreign Homepage: http://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python3-six_1.9.0-3~bpo8+1~nd14.10+1_all.deb Size: 11178 SHA256: 8c5a28fcdfced284a3054c1837b232cee715ad9e4f6fabdc835869b2a7c96a17 SHA1: 3271998bffbaf67fc72af41fb44e3793219e76b9 MD5sum: ae2189e3b18919bc2b68d353e03d3bd8 Description: Python 2 and 3 compatibility library (Python 3 interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the Python 3 module path. It is complemented by python-six. Package: python3-sphinx-rtd-theme Source: sphinx-rtd-theme Version: 0.1.8-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 332 Depends: neurodebian-popularity-contest, fonts-font-awesome, fonts-lato, libjs-modernizr, python3:any (>= 3.3.2-2~) Recommends: python3-sphinx Homepage: https://github.com/snide/sphinx_rtd_theme Priority: optional Section: python Filename: pool/main/s/sphinx-rtd-theme/python3-sphinx-rtd-theme_0.1.8-1~nd14.10+1_all.deb Size: 117356 SHA256: 172339f075dee569c6f4a793a5ac0ce09929461ffbc2b9694f020cc10c8af802 SHA1: 30e0e21162c8dc199cad6524d01ede4f7a52a20a MD5sum: e9f51b4a20e078e75fc03be5df02fa91 Description: sphinx theme from readthedocs.org (Python 3) This mobile-friendly sphinx theme was initially created for readthedocs.org, but can be incorporated in any project. . Among other things, it features a left panel with a browseable table of contents, and a search bar. . This is the Python 3 version of the package. Package: python3-w3lib Source: python-w3lib Version: 1.11.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 40 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-six (>= 1.6.1) Homepage: http://pypi.python.org/pypi/w3lib Priority: optional Section: python Filename: pool/main/p/python-w3lib/python3-w3lib_1.11.0-1~nd14.10+1_all.deb Size: 14292 SHA256: 8ac66a2f945323bbdefc743b3b8ed327b3254ef12dfd78e64344e2cbfa7c69f4 SHA1: 35da05e2ae5edba95095d07089770e271debea4d MD5sum: c22b3c58943a3bb20e5be1494c821e6a Description: Collection of web-related functions for Python (Python 3) Python module with simple, reusable functions to work with URLs, HTML, forms, and HTTP, that aren’t found in the Python standard library. . This module is used to, for example: - remove comments, or tags from HTML snippets - extract base url from HTML snippets - translate entites on HTML strings - encoding mulitpart/form-data - convert raw HTTP headers to dicts and vice-versa - construct HTTP auth header - RFC-compliant url joining - sanitize urls (like browsers do) - extract arguments from urls . The code of w3lib was originally part of the Scrapy framework but was later stripped out of Scrapy, with the aim of make it more reusable and to provide a useful library of web functions without depending on Scrapy. . This is the Python 3 version of the package. Package: python3-werkzeug Source: python-werkzeug Version: 0.10.4+dfsg1-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 727 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), libjs-jquery Recommends: python3-simplejson | python3, python3-openssl, python3-pyinotify Suggests: ipython3, python3-pkg-resources, python3-lxml, python-werkzeug-doc Homepage: http://werkzeug.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-werkzeug/python3-werkzeug_0.10.4+dfsg1-1~nd14.10+1_all.deb Size: 163334 SHA256: 90b60c4481b54aaf15cf2e23ac6ad710a68585f4178c3df47c74882a45c56475 SHA1: c70aec313960ef4b46c9c3acdc19cd745e41b4e9 MD5sum: 2e50ce31c6c9800adad3bc8a702120b5 Description: collection of utilities for WSGI applications The Web Server Gateway Interface (WSGI) is a standard interface between web server software and web applications written in Python. . Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: rclone Version: 1.41-1~ndall0 Architecture: amd64 Maintainer: Debian Go Packaging Team Installed-Size: 19633 Depends: libc6 (>= 2.3.2) Built-Using: go-md2man (= 1.0.8+ds-1), golang-1.10 (= 1.10.3-1), golang-bazil-fuse (= 0.0~git20160811.0.371fbbd-2), golang-github-a8m-tree (= 0.0~git20171213.cf42b1e-1), golang-github-abbot-go-http-auth (= 0.0~git20150714.0.46b9627-2), golang-github-aws-aws-sdk-go (= 1.12.79+dfsg-1), golang-github-azure-azure-sdk-for-go (= 10.3.0~beta-1), golang-github-azure-go-autorest (= 8.3.1-1), golang-github-coreos-bbolt (= 1.3.1-coreos.5-1), golang-github-davecgh-go-spew (= 1.1.0-4), golang-github-dgrijalva-jwt-go-v3 (= 3.1.0-2), golang-github-djherbis-times (= 1.0.1+git20170215.d25002f-1), golang-github-dropbox-dropbox-sdk-go-unofficial (= 4.1.0-1), golang-github-go-ini-ini (= 1.32.0-2), golang-github-google-go-querystring (= 0.0~git20170111.0.53e6ce1-4), golang-github-jlaffaye-ftp (= 0.0~git20170707.0.a05056b-1), golang-github-jmespath-go-jmespath (= 0.2.2-2), golang-github-kardianos-osext (= 0.0~git20170510.0.ae77be6-5), golang-github-kr-fs (= 0.0~git20131111.0.2788f0d-2), golang-github-mattn-go-runewidth (= 0.0.2+git20170510.3.97311d9-1), golang-github-ncw-go-acd (= 0.0~git20171120.887eb06-1), golang-github-unknwon-goconfig (= 0.0~git20160828.0.5aa4f8c-3), golang-github-vividcortex-ewma (= 0.0~git20160822.20.c595cd8-3), golang-google-cloud (= 0.9.0-5), golang-goprotobuf (= 0.0~git20170808.0.1909bc2-2) Homepage: https://github.com/ncw/rclone Priority: optional Section: net Filename: pool/main/r/rclone/rclone_1.41-1~ndall0_amd64.deb Size: 4810068 SHA256: b62160db730a2285a36444f0eb30a9f4c6a67957e03fff27de9cc3f8a7ecd689 SHA1: 68368135f21e5fa81d2904f9391054208697d5b3 MD5sum: f58523511ec0a1334697803e366f753e Description: rsync for commercial cloud storage Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers: . - Google Drive - Amazon S3 - Openstack Swift / Rackspace cloud files / Memset Memstore - Dropbox - Google Cloud Storage - Amazon Drive - Microsoft One Drive - Hubic - Backblaze B2 - Yandex Disk Package: spm8-common 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: 18499 Depends: neurodebian-popularity-contest Recommends: spm8-data, spm8-doc Priority: extra Section: science Filename: pool/main/s/spm8/spm8-common_8.5236~dfsg.1-1~nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 9751046 SHA256: eae78a38851873640a4bb696fffe8a3e8f8b24dbf2ddbdd3a9c08a9dbd39f3e4 SHA1: 91f196a570299e8b954da31769f9ef364602a9bc MD5sum: dea09a5e81f573cd2c86b9b0771ae85c Description: analysis of brain imaging data sequences 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 the platform-independent M-files. Package: spm8-data 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: 72987 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/s/spm8/spm8-data_8.5236~dfsg.1-1~nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 45499850 SHA256: a0225114bd9819417819ee216d7c713d5934c57a6e52bb8088c043877a59b8d6 SHA1: 002c5cb008c639ec8724ed73b8abc98c2d54098c MD5sum: 999a027bec248bc3eee7b24df2e42d4d Description: data files for SPM8 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 provide the data files shipped with the SPM distribution, such as various stereotaxic brain space templates and EEG channel setups. Package: spm8-doc 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: 9242 Depends: neurodebian-popularity-contest Priority: extra Section: doc Filename: pool/main/s/spm8/spm8-doc_8.5236~dfsg.1-1~nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 8935238 SHA256: 56c8b6a01f77cbd3447425f2fc126cafa3c733220dd8a594ebb06d0c1eabc4ee SHA1: b5a73113ad3b5456512e69bc3a830ce08940c5ab MD5sum: b3e4f06fa68c94bcf2cdbc6f9acb71ec Description: manual for SPM8 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 the SPM manual in PDF format. Package: spykeviewer Version: 0.4.2-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1122 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-guidata, python-guiqwt (>= 2.1.4), python-spyderlib, python-spykeutils (>= 0.4.0), python-neo (>= 0.2.1), python-matplotlib, python-scipy, python-nose, python-sphinx, python-tables Recommends: libjs-jquery, libjs-underscore, ipython-qtconsole (>= 0.12) Homepage: http://www.ni.tu-berlin.de/software/spykeviewer Priority: extra Section: python Filename: pool/main/s/spykeviewer/spykeviewer_0.4.2-1~nd14.04+1+nd14.10+1_all.deb Size: 537210 SHA256: e2d542438b23bf2cdc670a92a7fb8f96e95577b6aa575213c9f6e6b10aa33e70 SHA1: 48c034b2573817266f86dd119ab2aac2e39358b2 MD5sum: caed1b92f7d4660cd52d212d3c243f50 Description: graphical utility for analyzing electrophysiological data Spyke Viewer is a multi-platform GUI application for navigating, analyzing and visualizing electrophysiological datasets. Based on the Neo framework, it works with a wide variety of data formats. Spyke Viewer includes an integrated Python console and a plugin system for custom analyses and plots. Package: stabilitycalc Version: 0.1-1~nd11.04+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: 119 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0), python-numpy, python-matplotlib, python-scipy, python-nifti Recommends: python-dicom Homepage: https://github.com/bbfrederick/stabilitycalc Priority: extra Section: science Filename: pool/main/s/stabilitycalc/stabilitycalc_0.1-1~nd11.04+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: 22780 SHA256: 473177f3831b682baa05fec66ef8839addc3894c874621f91a5907a175ebaaf5 SHA1: b0da338b4735e5bf32dea8de66236cdd78863981 MD5sum: 21ba26275b3253f53e8995b3140abcb2 Description: evaluate fMRI scanner stability Command-line tools to calculate numerous fMRI scanner stability metrics, based on the FBIRN quality assurance test protocal. Any 4D volumetric timeseries image in NIfTI format is support input. Output is a rich HTML report. Python-Version: 2.7 Package: stimfit Version: 0.14.10-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2847 Depends: neurodebian-popularity-contest, libbiosig1, libblas3 | libblas.so.3, libc6 (>= 2.14), libcholmod2.1.2, libfftw3-double3, libgcc1 (>= 1:4.1.1), libhdf5-7, liblapack3 | liblapack.so.3, libpython2.7 (>= 2.7), libstdc++6 (>= 4.9), libwxbase3.0-0 (>= 3.0.1), libwxgtk3.0-0 (>= 3.0.1), python-numpy (>= 1:1.8.0), python-numpy-abi9, python2.7, python:any (>= 2.6.6-7~), libbiosig-dev, libsuitesparse-dev, python-wxgtk3.0 | python-wxgtk2.8 (>= 2.8.9), python-matplotlib Recommends: python-scipy Homepage: http://www.stimfit.org Priority: optional Section: science Filename: pool/main/s/stimfit/stimfit_0.14.10-1~nd14.10+1_amd64.deb Size: 748016 SHA256: 6646c7cfc0ad09bf5c8e568074fb5cb5376a74aeac73ad65199e35f8171fb2e9 SHA1: dfb5ada1dffe3da05a67d56bc85429a00414cf9a MD5sum: 6d1ff18ba468abc9e86a2f609153759a Description: Program for viewing and analyzing electrophysiological data Stimfit is a free, fast and simple program for viewing and analyzing electrophysiological data. It features an embedded Python shell that allows you to extend the program functionality by using numerical libraries such as NumPy and SciPy. Package: stimfit-dbg Source: stimfit Version: 0.14.10-1~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 31943 Depends: neurodebian-popularity-contest, stimfit Recommends: python-matplotlib, python-scipy, python-stfio Homepage: http://www.stimfit.org Priority: extra Section: debug Filename: pool/main/s/stimfit/stimfit-dbg_0.14.10-1~nd14.10+1_amd64.deb Size: 6180986 SHA256: 65822537a02abb9848f951ac922746df638fc3702ba7f4ca42682a83311b0630 SHA1: 8274c1eee0eba642430a5397e9dd3eaca82abd07 MD5sum: f1c9fc3ca4b8c60db6b039557bb7b7fb Description: Debug symbols for stimfit Stimfit is a free, fast and simple program for viewing and analyzing electrophysiological data. It features an embedded Python shell that allows you to extend the program functionality by using numerical libraries such as NumPy and SciPy. This package contains the debug symbols for Stimfit. Package: testkraut Version: 0.0.1-1~nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 359 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-numpy, libjs-underscore, libjs-jquery, python-argparse Recommends: strace, python-scipy, python-colorama, python-apt Homepage: https://github.com/neurodebian/testkraut Priority: extra Section: python Filename: pool/main/t/testkraut/testkraut_0.0.1-1~nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 86234 SHA256: 9be9fd35fa97ca4e8e0a23eb96de002be01583a8ce33f713fc6855ca6facc66e SHA1: 6366524142a259711f79c95daa36a610984ea2f1 MD5sum: 61c0c765138ee630e3a63f86b920735e Description: test and evaluate heterogeneous data processing pipelines This is a framework for software testing. That being said, testkraut tries to minimize the overlap with the scopes of unit testing, regression testing, and continuous integration testing. Instead, it aims to complement these kinds of testing, and is able to re-use them, or can be integrated with them. . In a nutshell testkraut helps to facilitate statistical analysis of test results. In particular, it focuses on two main scenarios: . * Comparing results of a single (test) implementation across different or changing computational environments (think: different operating systems, different hardware, or the same machine before an after a software upgrade). * Comparing results of different (test) implementations generating similar output from identical input (think: performance of various signal detection algorithms). . While such things can be done using other available tools as well, testkraut aims to provide a lightweight, yet comprehensive description of a test run. Such a description allows for decoupling test result generation and analysis – opening up the opportunity to “crowd-source” software testing efforts, and aggregate results beyond the scope of a single project, lab, company, or site. Python-Version: 2.7 Package: utopia-documents Version: 2.4.4-1~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 19741 Depends: neurodebian-popularity-contest, libboost-python1.55.0, libboost-system1.55.0, libboost-thread1.55.0, libc6 (>= 2.14), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglew1.10 (>= 1.10.0), libglu1-mesa | libglu1, libpcre3, libpcrecpp0 (>= 7.7), libpython2.7 (>= 2.7), libqglviewer2, libqjson0 (>= 0.7.1), libqt4-network (>= 4:4.7.0~beta1), libqt4-opengl (>= 4:4.5.3), libqt4-script (>= 4:4.5.3), libqt4-svg (>= 4:4.5.3), libqt4-xml (>= 4:4.5.3), libqtcore4 (>= 4:4.8.0), libqtgui4 (>= 4:4.8.0), libqtwebkit4, libraptor1 (>= 1.4.21-3), libssl1.0.0 (>= 1.0.0), libstdc++6 (>= 4.9), python:any (>= 2.6.6-7~), python2.7, python-imaging, python-lxml (<< 3.0.0) | python-cssselect, python-lxml, xdg-utils, python-suds Homepage: http://utopiadocs.com Priority: optional Section: science Filename: pool/main/u/utopia-documents/utopia-documents_2.4.4-1~nd14.04+1+nd14.10+1_amd64.deb Size: 5244078 SHA256: ef9858811b937b05fa097efb35d76f8d2aa6a4bdc83a01260b9f407e535836b2 SHA1: 10189ba269fbdc45ea015211a8139f527de52bfa MD5sum: ba48287b3556978fdeef2fed3ebeacf1 Description: PDF reader that displays interactive annotations on scientific articles. Utopia Documents is a free PDF reader that connects the static content of scientific articles to the dynamic world of online content. It makes it easy to explore an article's content and claims, and investigate other recent articles that discuss the same or similar topics. . Get immediate access to an article's metadata and browse the relationship it has with the world at large. Generate a formatted citation for use in your own work, follow bibliographic links to cited articles, or get a document's related data at the click of a button. . Various extensions provide links to blogs, online data sources and to social media sites so you can see what other researchers have been saying about not only the article you're reading but its subject matter too. Package: utopia-documents-dbg Source: utopia-documents Version: 2.4.4-1~nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 46108 Depends: neurodebian-popularity-contest, utopia-documents (= 2.4.4-1~nd14.04+1+nd14.10+1) Homepage: http://utopiadocs.com Priority: extra Section: debug Filename: pool/main/u/utopia-documents/utopia-documents-dbg_2.4.4-1~nd14.04+1+nd14.10+1_amd64.deb Size: 44853438 SHA256: 4c420431bb1f1308d8ead12ad4b41567ee4014347eaf91c68f3a101eaca2905c SHA1: 0bdd228c167f357949da53dcbee86d3aedb05f32 MD5sum: 772fcbbd0f794e98604a0a46c23e7dfe Description: debugging symbols for utopia-documents Utopia Documents is a free PDF reader that connects the static content of scientific articles to the dynamic world of online content. . This package contains the debugging symbols for utopia-documents. Package: vrpn Version: 07.30+dfsg-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 323 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libvrpn0 (= 07.30+dfsg-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1), libvrpnserver0 (= 07.30+dfsg-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: utils Filename: pool/main/v/vrpn/vrpn_07.30+dfsg-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1_amd64.deb Size: 48472 SHA256: 7303e72086beb861983156fb4bfcaa9a6921cfa0102a90d0d6b1c3baf63cfb67 SHA1: 8f8a66b8c8f02c6cf61634a052432634349a4540 MD5sum: 5927b70d47c8b52d386222282a345cb7 Description: Virtual Reality Peripheral Network (executables) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the executables like the VRPN server. Package: vrpn-dbg Source: vrpn Version: 07.30+dfsg-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5033 Depends: neurodebian-popularity-contest, libvrpn0 (= 07.30+dfsg-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1), libvrpnserver0 (= 07.30+dfsg-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1), vrpn (= 07.30+dfsg-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: debug Filename: pool/main/v/vrpn/vrpn-dbg_07.30+dfsg-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1_amd64.deb Size: 1057814 SHA256: e8243fd7a5517802b0aa8570ebef1977094ab68bc7ee87159b0eacd8ff145a9a SHA1: cf66ef3c47517d2428ea42c498b36142c5a2421f MD5sum: 06323ad5aa819cc1021cddee2ab56e01 Description: Virtual Reality Peripheral Network (debugging symbols) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the debugging symbols of the libraries and executables. Package: vtk-dicom-tools Source: vtk-dicom Version: 0.5.5-2~nd14.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 267 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.9), libvtk-dicom0.5, libvtk5.8 Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: utils Filename: pool/main/v/vtk-dicom/vtk-dicom-tools_0.5.5-2~nd14.10+1_amd64.deb Size: 73132 SHA256: cb960f03409694f436eb60132b23636965701f69e8426bca49136ce216587507 SHA1: 6ab7625d962faced0263a094b751dd605f96cef2 MD5sum: b77d84ebc336949debed6fe39a6c8ac8 Description: DICOM for VTK - tools This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Command line tools Package: youtube-dl Version: 2021.12.17-1~nd110+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5937 Depends: neurodebian-popularity-contest, python3-pkg-resources, python3:any Recommends: aria2 | wget | curl, ca-certificates, ffmpeg, mpv | mplayer, python3-pyxattr, rtmpdump, python3-pycryptodome Suggests: libfribidi-bin | bidiv, phantomjs Homepage: https://ytdl-org.github.io/youtube-dl/ Priority: optional Section: web Filename: pool/main/y/youtube-dl/youtube-dl_2021.12.17-1~nd110+1_all.deb Size: 1128692 SHA256: 75859d2f34a475fc0f199cd6d2b73e18c29cda44406530964890dcb790008eca SHA1: 09f85f2abc32eb5e9c2ccd6bfd1354ea332b6489 MD5sum: 6d04814be91bd9f85a7d3793ff2a2fb3 Description: downloader of videos from YouTube and other sites youtube-dl is a small command-line program to download videos from YouTube.com and other sites that don't provide direct links to the videos served. . youtube-dl allows the user, among other things, to choose a specific video quality to download (if available) or let the program automatically determine the best (or worst) quality video to grab. It supports downloading entire playlists and all videos from a given user. . Currently supported sites (or features of sites) are: . 1tv, 20min, 220.ro, 23video, 24video, 3qsdn, 3sat, 4tube, 56.com, 5min, 6play, 7plus, 8tracks, 91porn, 9c9media, 9gag, 9now.com.au, abc.net.au, abc.net.au:iview, abcnews, abcnews:video, abcotvs, abcotvs:clips, AcademicEarth:Course, acast, acast:channel, ADN, AdobeConnect, adobetv, adobetv:channel, adobetv:embed, adobetv:show, adobetv:video, AdultSwim, aenetworks, aenetworks:collection, aenetworks:show, afreecatv, AirMozilla, AliExpressLive, AlJazeera, Allocine, AlphaPorno, Amara, AMCNetworks, AmericasTestKitchen, AmericasTestKitchenSeason, anderetijden, AnimeOnDemand, Anvato, aol.com, APA, Aparat, AppleConnect, AppleDaily, ApplePodcasts, appletrailers, appletrailers:section, archive.org, ArcPublishing, ARD, ARD:mediathek, ARDBetaMediathek, Arkena, arte.sky.it, ArteTV, ArteTVEmbed, ArteTVPlaylist, AsianCrush, AsianCrushPlaylist, AtresPlayer, ATTTechChannel, ATVAt, AudiMedia, AudioBoom, audiomack, audiomack:album, AWAAN, awaan:live, awaan:season, awaan:video, AZMedien, BaiduVideo, Bandcamp, Bandcamp:album, Bandcamp:weekly, bangumi.bilibili.com, bbc, bbc.co.uk, bbc.co.uk:article, bbc.co.uk:iplayer:playlist, bbc.co.uk:playlist, BBVTV, Beatport, Beeg, BehindKink, Bellator, BellMedia, Bet, bfi:player, bfmtv, bfmtv:article, bfmtv:live, BibelTV, Bigflix, Bild, BiliBili, BilibiliAudio, BilibiliAudioAlbum, BiliBiliPlayer, BioBioChileTV, Biography, BIQLE, BitChute, BitChuteChannel, BleacherReport, BleacherReportCMS, blinkx, Bloomberg, BokeCC, BongaCams, BostonGlobe, Box, Bpb, BR, BravoTV, Break, brightcove:legacy, brightcove:new, BRMediathek, bt:article, bt:vestlendingen, BusinessInsider, BuzzFeed, BYUtv, Camdemy, CamdemyFolder, CamModels, CamTube, CamWithHer, canalc2.tv, Canalplus, Canvas, CanvasEen, CarambaTV, CarambaTVPage, CartoonNetwork, cbc.ca, cbc.ca:olympics, cbc.ca:player, cbc.ca:watch, cbc.ca:watch:video, CBS, CBSInteractive, CBSLocal, CBSLocalArticle, cbsnews, cbsnews:embed, cbsnews:livevideo, CBSSports, CCMA, CCTV, CDA, CeskaTelevize, CeskaTelevizePorady, channel9, CharlieRose, Chaturbate, Chilloutzone, chirbit, chirbit:profile, cielotv.it, Cinchcast, Cinemax, CiscoLiveSearch, CiscoLiveSession, CJSW, cliphunter, Clippit, ClipRs, Clipsyndicate, CloserToTruth, CloudflareStream, Cloudy, Clubic, Clyp, cmt.com, CNBC, CNBCVideo, CNN, CNNArticle, CNNBlogs, ComedyCentral, ComedyCentralTV, CommonMistakes, CondeNast, CONtv, Corus, Coub, Cracked, Crackle, CrooksAndLiars, crunchyroll, crunchyroll:playlist, CSpan, CtsNews, CTV, CTVNews, cu.ntv.co.jp, Culturebox, CultureUnplugged, curiositystream, curiositystream:collection, CWTV, DailyMail, dailymotion, dailymotion:playlist, dailymotion:user, daum.net, daum.net:clip, daum.net:playlist, daum.net:user, DBTV, DctpTv, DeezerPlaylist, defense.gouv.fr, democracynow, DHM, Digg, DigitallySpeaking, Digiteka, Discovery, DiscoveryGo, DiscoveryGoPlaylist, DiscoveryNetworksDe, DiscoveryVR, Disney, dlive:stream, dlive:vod, Dotsub, DouyuShow, DouyuTV, DPlay, DRBonanza, Dropbox, DrTuber, drtv, drtv:live, DTube, Dumpert, dvtv, dw, dw:article, EaglePlatform, EbaumsWorld, EchoMsk, egghead:course, egghead:lesson, ehftv, eHow, EinsUndEinsTV, Einthusan, eitb.tv, EllenTube, EllenTubePlaylist, EllenTubeVideo, ElPais, Embedly, EMPFlix, Engadget, Eporner, EroProfile, Escapist, ESPN, ESPNArticle, EsriVideo, Europa, EWETV, ExpoTV, Expressen, ExtremeTube, EyedoTV, facebook, FacebookPluginsVideo, faz.net, fc2, fc2:embed, Fczenit, filmon, filmon:channel, Filmweb, FiveThirtyEight, FiveTV, Flickr, Folketinget, FootyRoom, Formula1, FOX, FOX9, FOX9News, Foxgay, foxnews, foxnews:article, FoxSports, france2.fr:generation-what, FranceCulture, FranceInter, FranceTV, FranceTVEmbed, francetvinfo.fr, FranceTVJeunesse, FranceTVSite, Freesound, freespeech.org, FreshLive, FrontendMasters, FrontendMastersCourse, FrontendMastersLesson, FujiTVFODPlus7, Funimation, Funk, Fusion, Fux, Gaia, GameInformer, GameSpot, GameStar, Gaskrank, Gazeta, GDCVault, generic, Gfycat, GiantBomb, Giga, GlattvisionTV, Glide, Globo, GloboArticle, Go, GodTube, Golem, google:podcasts, google:podcasts:feed, GoogleDrive, Goshgay, GPUTechConf, Groupon, hbo, HearThisAt, Heise, HellPorno, Helsinki, HentaiStigma, hetklokhuis, hgtv.com:show, HiDive, HistoricFilms, history:player, history:topic, hitbox, hitbox:live, HitRecord, hketv, HornBunny, HotNewHipHop, hotstar, hotstar:playlist, Howcast, HowStuffWorks, HRTi, HRTiPlaylist, Huajiao, HuffPost, Hungama, HungamaSong, Hypem, ign.com, IGNArticle, IGNVideo, IHeartRadio, iheartradio:podcast, imdb, imdb:list, Imgur, imgur:album, imgur:gallery, Ina, Inc, IndavideoEmbed, InfoQ, Instagram, instagram:tag, instagram:user, Internazionale, InternetVideoArchive, IPrima, iqiyi, Ir90Tv, ITTF, ITV, ITVBTCC, ivi, ivi:compilation, ivideon, Iwara, Izlesene, Jamendo, JamendoAlbum, JeuxVideo, Joj, Jove, JWPlatform, Kakao, Kaltura, Kankan, Karaoketv, KarriereVideos, Katsomo, KeezMovies, Ketnet, khanacademy, khanacademy:unit, KickStarter, KinjaEmbed, KinoPoisk, KonserthusetPlay, KrasView, Ku6, KUSI, kuwo:album, kuwo:category, kuwo:chart, kuwo:mv, kuwo:singer, kuwo:song, la7.it, laola1tv, laola1tv:embed, lbry, lbry:channel, LCI, Lcp, LcpPlay, Le, Lecture2Go, Lecturio, LecturioCourse, LecturioDeCourse, LEGO, Lemonde, Lenta, LePlaylist, LetvCloud, Libsyn, life, life:embed, limelight, limelight:channel, limelight:channel_list, LineTV, linkedin:learning, linkedin:learning:course, LinuxAcademy, LiTV, LiveJournal, LiveLeak, LiveLeakEmbed, livestream, livestream:original, livestream:shortener, LnkGo, loc, LocalNews8, LoveHomePorn, lrt.lt, lynda, lynda:course, m6, mailru, mailru:music, mailru:music:search, MallTV, mangomolo:live, mangomolo:video, ManyVids, Markiza, MarkizaPage, massengeschmack.tv, MatchTV, MDR, MedalTV, media.ccc.de, media.ccc.de:lists, Medialaan, Mediaset, Mediasite, MediasiteCatalog, MediasiteNamedCatalog, Medici, megaphone.fm, Meipai, MelonVOD, META, metacafe, Metacritic, mewatch, Mgoon, MGTV, MiaoPai, minds, minds:channel, minds:group, MinistryGrid, Minoto, miomio.tv, MiTele, mixcloud, mixcloud:playlist, mixcloud:user, MLB, Mms, Mnet, MNetTV, MoeVideo, Mofosex, MofosexEmbed, Mojvideo, Morningstar, Motherless, MotherlessGroup, Motorsport, MovieClips, MovieFap, Moviezine, MovingImage, MSN, mtg, mtv, mtv.de, mtv:video, mtvjapan, mtvservices:embedded, MTVUutisetArticle, MuenchenTV, mva, mva:course, Mwave, MwaveMeetGreet, MyChannels, MySpace, MySpace:album, MySpass, Myvi, MyVidster, MyviEmbed, MyVisionTV, n-tv.de, natgeo:video, NationalGeographicTV, Naver, NBA, nba:watch, nba:watch:collection, NBAChannel, NBAEmbed, NBAWatchEmbed, NBC, NBCNews, nbcolympics, nbcolympics:stream, NBCSports, NBCSportsStream, NBCSportsVPlayer, ndr, ndr:embed, ndr:embed:base, NDTV, NerdCubedFeed, netease:album, netease:djradio, netease:mv, netease:playlist, netease:program, netease:singer, netease:song, NetPlus, Netzkino, Newgrounds, NewgroundsPlaylist, Newstube, NextMedia, NextMediaActionNews, NextTV, Nexx, NexxEmbed, nfl.com (CURRENTLY BROKEN), nfl.com:article (CURRENTLY BROKEN), NhkVod, NhkVodProgram, nhl.com, nick.com, nick.de, nickelodeon:br, nickelodeonru, nicknight, niconico, NiconicoPlaylist, Nintendo, njoy, njoy:embed, NJPWWorld, NobelPrize, NonkTube, Noovo, Normalboots, NosVideo, Nova, NovaEmbed, nowness, nowness:playlist, nowness:series, Noz, npo, npo.nl:live, npo.nl:radio, npo.nl:radio:fragment, Npr, NRK, NRKPlaylist, NRKRadioPodkast, NRKSkole, NRKTV, NRKTVDirekte, NRKTVEpisode, NRKTVEpisodes, NRKTVSeason, NRKTVSeries, NRLTV, ntv.ru, Nuvid, NYTimes, NYTimesArticle, NYTimesCooking, NZZ, ocw.mit.edu, OdaTV, Odnoklassniki, OktoberfestTV, OnDemandKorea, onet.pl, onet.tv, onet.tv:channel, OnetMVP, OnionStudios, Ooyala, OoyalaExternal, OraTV, orf:burgenland, orf:fm4, orf:fm4:story, orf:iptv, orf:kaernten, orf:noe, orf:oberoesterreich, orf:oe1, orf:oe3, orf:salzburg, orf:steiermark, orf:tirol, orf:tvthek, orf:vorarlberg, orf:wien, OsnatelTV, OutsideTV, PacktPub, PacktPubCourse, pandora.tv, ParamountNetwork, parliamentlive.tv, Patreon, pbs, PearVideo, PeerTube, People, PerformGroup, periscope, periscope:user, PhilharmonieDeParis, phoenix.de, Photobucket, Picarto, PicartoVod, Piksel, Pinkbike, Pinterest, PinterestCollection, Pladform, Platzi, PlatziCourse, play.fm, player.sky.it, PlayPlusTV, PlaysTV, Playtvak, Playvid, Playwire, pluralsight, pluralsight:course, podomatic, Pokemon, PolskieRadio, PolskieRadioCategory, Popcorntimes, PopcornTV, PornCom, PornerBros, PornHd, PornHub, PornHubPagedVideoList, PornHubUser, PornHubUserVideosUpload, Pornotube, PornoVoisines, PornoXO, PornTube, PressTV, prosiebensat1, puhutv, puhutv:serie, Puls4, Pyvideo, qqmusic, qqmusic:album, qqmusic:playlist, qqmusic:singer, qqmusic:toplist, QuantumTV, Qub, Quickline, QuicklineLive, R7, R7Article, radio.de, radiobremen, radiocanada, radiocanada:audiovideo, radiofrance, RadioJavan, Rai, RaiPlay, RaiPlayLive, RaiPlayPlaylist, RayWenderlich, RayWenderlichCourse, RBMARadio, RDS, RedBull, RedBullEmbed, RedBullTV, RedBullTVRrnContent, Reddit, RedditR, RedTube, RegioTV, RENTV, RENTVArticle, Restudy, Reuters, ReverbNation, RICE, RMCDecouverte, RockstarGames, RoosterTeeth, RottenTomatoes, Roxwel, Rozhlas, RTBF, rte, rte:radio, rtl.nl, rtl2, rtl2:you, rtl2:you:series, Rtmp, RTP, RTS, rtve.es:alacarta, rtve.es:infantil, rtve.es:live, rtve.es:television, RTVNH, RTVS, RUHD, RumbleEmbed, rutube, rutube:channel, rutube:embed, rutube:movie, rutube:person, rutube:playlist, RUTV, Ruutu, Ruv, safari, safari:api, safari:course, SAKTV, SaltTV, Sapo, savefrom.net, SBS, schooltv, screen.yahoo:search, Screencast, ScreencastOMatic, ScrippsNetworks, scrippsnetworks:watch, SCTE, SCTECourse, Seeker, SenateISVP, SendtoNews, Servus, Sexu, SeznamZpravy, SeznamZpravyArticle, Shahid, ShahidShow, Shared, ShowRoomLive, Sina, sky.it, sky:news, sky:sports, sky:sports:news, skyacademy.it, SkylineWebcams, skynewsarabia:article, skynewsarabia:video, Slideshare, SlidesLive, Slutload, Snotr, Sohu, SonyLIV, soundcloud, soundcloud:playlist, soundcloud:search, soundcloud:set, soundcloud:trackstation, soundcloud:user, SoundcloudEmbed, soundgasm, soundgasm:profile, southpark.cc.com, southpark.cc.com:español, southpark.de, southpark.nl, southparkstudios.dk, SpankBang, SpankBangPlaylist, Spankwire, Spiegel, sport.francetvinfo.fr, Sport5, SportBox, SportDeutschland, spotify, spotify:show, Spreaker, SpreakerPage, SpreakerShow, SpreakerShowPage, SpringboardPlatform, Sprout, sr:mediathek, SRGSSR, SRGSSRPlay, stanfordoc, Steam, Stitcher, StitcherShow, Streamable, streamcloud.eu, StreamCZ, StreetVoice, StretchInternet, stv:player, SunPorno, sverigesradio:episode, sverigesradio:publication, SVT, SVTPage, SVTPlay, SVTSeries, SWRMediathek, Syfy, SztvHu, t-online.de, Tagesschau, tagesschau:player, Tass, TBS, TDSLifeway, Teachable, TeachableCourse, teachertube, teachertube:user:collection, TeachingChannel, Teamcoco, TeamTreeHouse, TechTalks, techtv.mit.edu, ted, Tele13, Tele5, TeleBruxelles, Telecinco, Telegraaf, TeleMB, TeleQuebec, TeleQuebecEmission, TeleQuebecLive, TeleQuebecSquat, TeleQuebecVideo, TeleTask, Telewebion, TennisTV, TenPlay, TestURL, TF1, TFO, TheIntercept, ThePlatform, ThePlatformFeed, TheScene, TheStar, TheSun, TheWeatherChannel, ThisAmericanLife, ThisAV, ThisOldHouse, TikTok, TikTokUser (CURRENTLY BROKEN), tinypic, TMZ, TMZArticle, TNAFlix, TNAFlixNetworkEmbed, toggle, ToonGoggles, tou.tv, Toypics, ToypicsUser, TrailerAddict (CURRENTLY BROKEN), Trilulilu, Trovo, TrovoVod, TruNews, TruTV, Tube8, TubiTv, Tumblr, tunein:clip, tunein:program, tunein:shortener, tunein:station, tunein:topic, TunePk, Turbo, tv.dfb.de, TV2, tv2.hu, TV2Article, TV2DK, TV2DKBornholmPlay, TV4, TV5MondePlus, tv5unis, tv5unis:video, tv8.it, TVA, TVANouvelles, TVANouvellesArticle, TVC, TVCArticle, TVer, tvigle, tvland.com, TVN24, TVNet, TVNoe, TVNow, TVNowAnnual, TVNowNew, TVNowSeason, TVNowShow, tvp, tvp:embed, tvp:series, TVPlayer, TVPlayHome, Tweakers, TwitCasting, twitch:clips, twitch:stream, twitch:vod, TwitchCollection, TwitchVideos, TwitchVideosClips, TwitchVideosCollections, twitter, twitter:amplify, twitter:broadcast, twitter:card, udemy, udemy:course, UDNEmbed, UFCArabia, UFCTV, UKTVPlay, umg:de, UnicodeBOM, Unistra, Unity, uol.com.br, uplynk, uplynk:preplay, Urort, URPlay, USANetwork, USAToday, ustream, ustream:channel, ustudio, ustudio:embed, Varzesh3, Vbox7, VeeHD, Veoh, Vesti, Vevo, VevoPlaylist, VGTV, vh1.com, vhx:embed, Viafree, vice, vice:article, vice:show, Vidbit, Viddler, Videa, video.google:search, video.sky.it, video.sky.it:live, VideoDetective, videofy.me, videomore, videomore:season, videomore:video, VideoPress, Vidio, VidLii, vidme, vidme:user, vidme:user:likes, vier, vier:videos, viewlift, viewlift:embed, Viidea, viki, viki:channel, vimeo, vimeo:album, vimeo:channel, vimeo:group, vimeo:likes, vimeo:ondemand, vimeo:review, vimeo:user, vimeo:watchlater, Vimple, Vine, vine:user, Viqeo, Viu, viu:ott, viu:playlist, Vivo, vk, vk:uservideos, vk:wallpost, vlive, vlive:channel, vlive:post, Vodlocker, VODPl, VODPlatform, VoiceRepublic, Voot, VoxMedia, VoxMediaVolume, vpro, Vrak, VRT, VrtNU, vrv, vrv:series, VShare, VTM, VTXTV, vube, VuClip, VVVVID, VVVVIDShow, VyboryMos, Vzaar, Wakanim, Walla, WalyTV, washingtonpost, washingtonpost:article, wat.tv, WatchBox, WatchIndianPorn, WDR, wdr:mobile, WDRElefant, WDRPage, Webcaster, WebcasterFeed, WebOfStories, WebOfStoriesPlaylist, Weibo, WeiboMobile, WeiqiTV, Wistia, WistiaPlaylist, wnl, WorldStarHipHop, WSJ, WSJArticle, WWE, XBef, XboxClips, XFileShare, XHamster, XHamsterEmbed, XHamsterUser, xiami:album, xiami:artist, xiami:collection, xiami:song, ximalaya, ximalaya:album, XMinus, XNXX, Xstream, XTube, XTubeUser, Xuite, XVideos, XXXYMovies, Yahoo, yahoo:gyao, yahoo:gyao:player, yahoo:japannews, YandexDisk, yandexmusic:album, yandexmusic:artist:albums, yandexmusic:artist:tracks, yandexmusic:playlist, yandexmusic:track, YandexVideo, YapFiles, YesJapan, yinyuetai:video, Ynet, YouJizz, youku, youku:show, YouNowChannel, YouNowLive, YouNowMoment, YouPorn, YourPorn, YourUpload, youtube, youtube:favorites, youtube:history, youtube:playlist, youtube:recommended, youtube:search, youtube:search:date, youtube:subscriptions, youtube:tab, youtube:truncated_id, youtube:truncated_url, youtube:watchlater, YoutubeYtBe, YoutubeYtUser, Zapiks, Zattoo, ZattooLive, ZDF, ZDFChannel, zingmp3, Zype