Package: aghermann Version: 1.0.4-1~nd14.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1529 Depends: neurodebian-popularity-contest, libc6 (>= 2.8), 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_i386.deb Size: 541002 SHA256: fe19667ec3221115e4aba053de9210730c52f31cd10f82d3d66c5e1bd5a228b0 SHA1: 0bbb77f3452bed1feb50b2188d2dc6493eaff395 MD5sum: f8325f7562a99bf56aaee90f73122e70 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 165471 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 23948442 SHA256: c1266d24b427c4f4089d7bbfde4f31d44adbab6ed9c37412ad60ba9dbca2daf2 SHA1: 264fa48bff8f1b0acbfd47bb191fa22c8d758dda MD5sum: c0204b6531e479f0875e11dede2147cf 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 701 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), 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_i386.deb Size: 252400 SHA256: d00e3913d9f423e936a59f249b7e88350101f9fed6d3fd0a264d38cd460a2f29 SHA1: 10dc4d5f6d6bba945252248ad3021a3e73f81aad MD5sum: e82b05b11500678dcf6077bfb0177452 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: btrfs-tools Version: 4.0-2~nd14.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3530 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_i386.deb Size: 505630 SHA256: d286ee8d72986aa378c4d22ab0c4f99a4dddd01f951f5f397577646998f52171 SHA1: 7dfb6d7bbf1ae16657e49c69934882755cf23860 MD5sum: 3e3f100db38cf7b8e86299387b88bdd8 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5126 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_i386.deb Size: 4227072 SHA256: 1d29091af0a86ebe3aa65799854ff1d1a9058868b674c26d1cece5bc866b493a SHA1: ce2700eaf60bc8726be29cd9be79190cd0eaa553 MD5sum: 7b80e432daf1d5a4bd971504ddc91c86 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 883 Depends: neurodebian-popularity-contest, libc6 (>= 2.1) 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_i386.deb Size: 150368 SHA256: 72706f7aa3f21d13f8986b188c5db2600836cb21431b08c045eb45c2a6d3f39d SHA1: 86cc08d34dcdcc8dca3af5fac43c69617c5e1bc6 MD5sum: 6aba192930aa91886d75271ed6ad90f2 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 23087 Depends: neurodebian-popularity-contest, libbz2-1.0, libc6 (>= 2.7), 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_i386.deb Size: 3749810 SHA256: 500cdf59ec65eac69f8bc26ef67cdaf4520ecd22e689b353c933b43e2494488c SHA1: a5f83cf1ade0190523b9e49d6d9ed9b3a3d865dd MD5sum: 7c0ee4db486c892b01f0b0ef87d3dde3 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 43 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 17126 SHA256: 92416ea7a2cf31e0bf8de568d76bd8c5465d46e21ae3a2c78d5967efe209cd75 SHA1: 1a1a0aa181e44e2463150015ca4f67fcf792f6f8 MD5sum: 9e7ad35d70b1e26ea7c2c76a3c059221 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: 1.0-3~nd14.04+1+nd14.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 36105 Depends: neurodebian-popularity-contest, libc6 (>= 2.11), 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_1.0-3~nd14.04+1+nd14.10+1_i386.deb Size: 18981930 SHA256: 5ac9db7607609ae92097e68b3e16603189d8723018003f122b61b50f57062ffe SHA1: d91da9c2a9ceff079fcc0fabc5f3e9b2d5254153 MD5sum: 2475af379dbf740f8b79f1843484c3ec 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: 1.0-3~nd14.04+1+nd14.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 93741 Depends: neurodebian-popularity-contest, connectome-workbench (= 1.0-3~nd14.04+1+nd14.10+1) Homepage: http://www.nitrc.org/projects/workbench/ Priority: extra Section: debug Filename: pool/main/c/connectome-workbench/connectome-workbench-dbg_1.0-3~nd14.04+1+nd14.10+1_i386.deb Size: 92335488 SHA256: 0afb91671a308e1c9b59699cc2ab63191c8dfa08d19e80cf5785b9f07feb0de9 SHA1: 031c50beadc2a35250cc2a7d4ae9511bef21c9cf MD5sum: 00329417b5bc5772772340a3256ce093 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: debruijn Version: 1.6-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 138 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_i386.deb Size: 37070 SHA256: 99755cdb6ffe0f8f60faa7c3e2a4c00d2c1c42aded100f0517167e5c89c8af1b SHA1: d7875f50f42a8679a47f6e6eaeb6ac34156934ce MD5sum: 2641ee230893f0fedd9f65af1f4b6f54 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: i386 Maintainer: NeuroDebian Team Installed-Size: 471 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 97012 SHA256: 51a895a84fa08888289fb7841e9c119390ef106dba425f7e4011a272f8998c9c SHA1: 9308802fe2666e3373988507c7c8187b47da5f36 MD5sum: 50c43551c776fc9b59dfae14ac738be4 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2744 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_i386.deb Size: 664042 SHA256: 75e2fdbbbf1c3d985929433a6cd5267940663ec83be75e25bdf9bb1fc221584f SHA1: 956f88ae40cbe852bfa594ff5c05bd1f7dc1c5cc MD5sum: 2dc07459cfb8f084cbcced42a5720cdb 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 20274 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_i386.deb Size: 4336304 SHA256: f255f06d684140a554849e3571f961905a0847b4e914ea1c719d4c4f5a28ce5a SHA1: 968398ffd2a17deceb337f8510b462c53880dd9b MD5sum: 007575879721e76499e4957e63659fd5 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 124 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 45590 SHA256: a1385488975104ead7ab9404aa487d6fbead76ce4d511acc6b474101bd73a6c5 SHA1: 971de0782a563c96eb67a3bc04d519dd2f274caf MD5sum: a61ac59119fa3ee09a63be3e58116a5b 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 108 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 39990 SHA256: 62251205a3f66ff3378f51cab01c48d9e18378c20a775b7d5b7fb38ddabf5b2b SHA1: 0ff704b296c4e987507499400b3ca68986bfad0b MD5sum: bdd751dc263a4929131603a6f2c3a7ab 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 198 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 82172 SHA256: 7c444bfb54c086f06b0d6a34bd993bb34c6b7c6acd5baa0e804725b56730809b SHA1: 62e834b7701d6b2023fc3a421f7775a0e4b3520d MD5sum: f85a7e4a9bad6640a47edfae9b22625d 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3017 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_i386.deb Size: 623460 SHA256: 140bdef03c7983a83f18d435c0d1cb2227d6dfb271c5626fc11939a22f6794e7 SHA1: b24aa5c606178c67cab2b1af078d1c284f57014f MD5sum: 5367634fc184f67aa708a240370306a3 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: i386 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_i386.deb Size: 8496 SHA256: 7b45087ae590923bbb0c5d735d4c570d13fdb53308486379a9ac46740c5a8c41 SHA1: 002157637adddef24457ca70a52b8e9e03b4a4c3 MD5sum: f19b098e0af962017727e9677dbc75ff 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: 3.3-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1737 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_3.3-1~nd14.10+1_all.deb Size: 1669074 SHA256: c52e6614996668500c36099a41613054917c4f2e54c79eb41a81a5001aee70d6 SHA1: 0737d7ce06c7fd64ddc7daafe4278a7f549f1a0a MD5sum: f4b94a2cd3d621dcc6aadb2883d82e4e 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-standalone Source: git-annex Version: 5.20150610+gitg608172f-1~ndall+1 Architecture: i386 Maintainer: Gergely Nagy Installed-Size: 371310 Depends: git, openssh-client Recommends: lsof, gnupg, bind9-host, quvi, git-remote-gcrypt (>= 0.20130908-6), nocache, aria2, bittornado | bittorrent Suggests: graphviz, bup, tahoe-lafs, libnss-mdns Conflicts: git-annex Provides: git-annex Homepage: http://git-annex.branchable.com/ Priority: optional Section: utils Filename: pool/main/g/git-annex/git-annex-standalone_5.20150610+gitg608172f-1~ndall+1_i386.deb Size: 24875624 SHA256: 695abccd8d4d8cb13fbc9c87a4de6094b7d5e6c67b513cb02f8fc6fe05f13c7a SHA1: 71bdb2e6312fd6b3dd694cafce1412365988f300 MD5sum: 2a3fd2321b9778cb239f55721dc6ff17 Description: manage files with git, without checking their contents into git -- standalone build git-annex allows managing files with git, without checking the file contents into git. While that may seem paradoxical, it is useful when dealing with files larger than git can currently easily handle, whether due to limitations in memory, time, or disk space. . 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 a dozen 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 344 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_i386.deb Size: 94086 SHA256: 1bd4a2e2f819af909586305159e7ed97cbcef671192e6cdf9ebebacac73abc70 SHA1: 214792874aecda85cf3e2464cdc38449a02569b3 MD5sum: 8996fc8f15e4baed5fa45cffab1ab1dc 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: htcondor Source: condor Version: 8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 14820 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_i386.deb Size: 4263858 SHA256: 6101fd78a730f5ba46088c062502975c45a8bcd85bdb02f6d3b533ce7771257d SHA1: 17842f159477309e449c7a2d4a065d8e376d391c MD5sum: cb9a951e894b74eeb117bbbf3b00a2c7 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: i386 Maintainer: NeuroDebian Team Installed-Size: 32723 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_i386.deb Size: 30987082 SHA256: 584a6ed893b548dfa39687b7802239d8a490e33c659f1d257a3aa3acd602c673 SHA1: 129d9b51e61820374cbf3179ef36971922586a15 MD5sum: a164fffdc5cf7a1740e50e1cb476c14e 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: i386 Maintainer: NeuroDebian Team Installed-Size: 1215 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_i386.deb Size: 285754 SHA256: 3e3d15e6fcf235e3584bdaf02a2bd9bf9d022f0ba54ccf69326dbad6a090c287 SHA1: b0097f9720f396d68c6e93437ea9f682e72a031f MD5sum: 1d6c42cb4005e52b8243e56f4bdc7a9f 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 724580 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 64404226 SHA256: a8de4b149a719830c0387dd61d736e01c99b21c5b5351198e67fd3b46e813a9c SHA1: 4b829f605d1eed84e92594d17912ab6d6efc1fdf MD5sum: 95fe01e4e340e9440cd11c0915c2974e 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1373 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_i386.deb Size: 316126 SHA256: 486435b75643275692dbfe020cee851eb8523af75f0cc9d89b036cb5ca513541 SHA1: 141c1ca3079a2b1e858590d6ff3c71200727d961 MD5sum: 3d0634c67273c0ec2d579d7f10a60262 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 835 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), 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_i386.deb Size: 282580 SHA256: 78b0e682e4bf5b9c784d404009f49f715b171c91031927975244f0d582b6c8f6 SHA1: 9125b3f9f9de7a3d4db971be8d64e07390e81e4b MD5sum: 080195cc2168ab91aa7908ab6292cff6 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 298 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_i386.deb Size: 70300 SHA256: c1d680469268779927d62b00c914a024c9de43f221e1f6b57d1ffc293072c703 SHA1: ee3ed0045f5dfd66cbb5e0197db24a797a4744af MD5sum: 669d9632512f9d88a1d21f7c13fd2fdb 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: i386 Maintainer: NeuroDebian Team Installed-Size: 1164 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_i386.deb Size: 261182 SHA256: c182392b962270ed292f49edcdcd9517f9891cea0fc2264f0bc7f927056772db SHA1: d34add7cfa62bdc02c1f698b887dfeeccc114b87 MD5sum: aa491958886cc760c63578f90e007caa 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: i386 Maintainer: NeuroDebian Team Installed-Size: 576 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 203430 SHA256: 36dcf41e966da21effdb56e8a4f6715a805fb5a588ac474a1e6b9cb745f41001 SHA1: d47e7adca44e735b5c59892c88b37ea547440ad2 MD5sum: e957b389154eb1b3825dc3c0c58aa723 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 242 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.8), 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_i386.deb Size: 79972 SHA256: f6cd5f97e161712b951d7c8ebc9fd01b8073f643eb69c48aff3756de9014ce76 SHA1: 73ab3dcd3c5b7fc9b77a91e9d1ef27b0133b9cf7 MD5sum: eb2151f23a100cad0c44c6c5a7f8b23d 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: i386 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_i386.deb Size: 21098 SHA256: 70016dc64345e41d8b2a974a3b1dc419d82f2d2bee966f5473f59ecde1dcd492 SHA1: 476d4e01c3c9dea7b5efcb7c1648a62f7eacae84 MD5sum: 6e65d118f14153bb44dd9b8f7cceb9a1 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6470 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_i386.deb Size: 905036 SHA256: 3e543c97885fba20cbe26f23d022db75923dfacc58d6a9d29c2c9451b6377571 SHA1: 6bf279303141a0e89064ddac43f05a482962a55e MD5sum: 60751622f85a01a13253d9d2913dffb0 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4231 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_i386.deb Size: 747948 SHA256: a8cffc9f2d2427af58039d20d3ffc3d1fdf7921173051a4aae5e76d0647e4fab SHA1: 902be5e05b826685faa6f8e796d7c583bcaf57c9 MD5sum: 88ad62dbe074bb128df6c2e81ff6361e 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 205 Depends: neurodebian-popularity-contest, freeglut3, libc6 (>= 2.4), 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_i386.deb Size: 54332 SHA256: 4c8c84de74049f8bec4c809f8ba8370d21144ad6557198866c52ffa9f0b66598 SHA1: 71095d56e17663759a8a00fe198f52c3c165393a MD5sum: 808f67260b29464e3be4aa114c8fb999 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: i386 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_i386.deb Size: 8532 SHA256: c2416f30ff4a680c884ac080272e85fa544958e5579d7824bc49e9ed3208684b SHA1: dd4afb293c4c6c01033274b4f32ec18a6960274d MD5sum: f1c057b54e17ef3066c9b4dad10d9e74 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: i386 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_i386.deb Size: 19290 SHA256: 8cea04ed080d5d2d78c0bbe65b6fd8ee7f3987e774648e8d3df441c95fb60461 SHA1: 72150c0901e7ab9d0c75fa6df978192833d54f21 MD5sum: da1f7b8ffbac5067f3a0544616964c86 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 89 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.7), 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_i386.deb Size: 31696 SHA256: ba95d215c1b6caa08600bbfbf460073025d736904ef308dd90e3b27f047ba361 SHA1: 585b57d743c8fb875797731299a49eeca481ea86 MD5sum: e1d4849ac880eebe5d4e532ad8ae7473 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 112 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.7), 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_i386.deb Size: 45068 SHA256: 54fe21ab23a9fc4a8fe8b6760b8afeaffaa9df1dcd2f151f8cb3fdfb17323342 SHA1: 7f71e99f014fecb8555705c969614c951cf10961 MD5sum: 8165c2efe4310feb2ae120e66dd48434 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 603 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_i386.deb Size: 132464 SHA256: ec1d7f2f3d032ca40cdb2ece396a95465a9c1d12a1c4f5128ec81c9bd1aab459 SHA1: 3791b5fe87adbc10c6f3547e0c751c5ad9ad86be MD5sum: ec6093abd93b71779712da1473e8d073 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 127 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_i386.deb Size: 33398 SHA256: 5f3a5bb707df35446d57dc04ad3004fe76d80dbfc496800602f79d1eac6106e0 SHA1: f0527724b5cc22f2953c4ad5c06d99c72636756d MD5sum: 434414bb9d06d476c138db222d3f2320 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: i386 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_i386.deb Size: 109568 SHA256: 89b5f4df723dec24419878935fc8644e443c056880ae08eb72cc0484bbbb0e63 SHA1: 137edae14bce241a4d986fa2758d3109539cf685 MD5sum: 57d4e22e7b43e1064826d4f6cc723e0b 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 551 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_i386.deb Size: 119634 SHA256: 357b76d4f2c462dbbce9325a4c053e46823072fd75ff0bb3c17ab78e872b133b SHA1: 83963c1d391a772b6be3bce8a0628fdaa7c6ddb6 MD5sum: f36f2873bfc41163aea2ece709400ee2 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 104 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_i386.deb Size: 26986 SHA256: d76a1f6fe24918674df47221f227e0fc8470f25ec53a6286624afd54deae1c35 SHA1: 6b49633a6ab922d2f13f2f877ec1ff936437b141 MD5sum: 7e6717d2ccbe5153e20478ab037d3550 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: i386 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_i386.deb Size: 8520 SHA256: f3038d2ab4689319eebec8d68beb0ed9ba7dd132de2a14f734ab1ae5adbf45a8 SHA1: c246f91ec9412182fa67201f2f4b526d28f9c0a0 MD5sum: e74c647e910ee9b248fe0f49e8407408 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 38844 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_i386.deb Size: 34837310 SHA256: fe535be3142a7761beba405a3a3ea91ee2a48d50a634305b4ba1a7880552e8b3 SHA1: 37e73755bddc5c18274e6454acdd70484da271cb MD5sum: 1970310830080dd5e4ace3933b09d239 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 25364 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_i386.deb Size: 2961434 SHA256: f1cbb48c6d77090e16d087603ab5e03fa66cbef3670b454897297920963b76a1 SHA1: 035885952039b5e2ebb614bccb3918ebd5036f76 MD5sum: 51694610a1c69fba6b01544b9b1fbfd5 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 22843 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), 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_i386.deb Size: 4660406 SHA256: 78bf790ff799bbf000b7da5ac8e3dedb374063f812d03783d43a54a2ad9ee01f SHA1: 3ae8dd3f298700b32270f914cc786657cad35f96 MD5sum: 1d36130d5cc072c535f9a951b866ab52 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 434 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_i386.deb Size: 105680 SHA256: afc3df67ea640d3de1f6c28895fe1e831e42dd875bf9cf3ab4a7a85d31416931 SHA1: 9700f7deaa85ca6ecbc49acd22461b7fa72c9ee0 MD5sum: 2807520b3974ba6a226bb397a082abf3 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 301 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_i386.deb Size: 88090 SHA256: b686d77e0028f21a78291c91473dbad2c93a17e260c2e040e6d6d17b69e6f4fd SHA1: d17fb79b247b37a7fc9eb61d308548605198c88d MD5sum: 2186b8143cb6e85bc322f88af67b5cd2 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 96 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_i386.deb Size: 33448 SHA256: 809db64261438959d5fdde4a7bd5bdc8dbaac5c652d4cf98e53856e7e69f8fd3 SHA1: e964185c4c6d8c61d7ed918a5c78455bd8d93d94 MD5sum: 5aa31ce08222b0b2febedce08684ac52 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 63 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_i386.deb Size: 27288 SHA256: a44f03bdccef45bdea5ff47e3c55f84df548272961d2f455649ce7a15b81b7ae SHA1: e8537e40d3a33199279e221884e1c8cd050484b6 MD5sum: 51766d7cc3cf5a20bd2e703c14818d0e 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 282 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_i386.deb Size: 63508 SHA256: b4b116b7be3c8b91b0850a647cdb594b63d5e6e5fd9e17ef11eaafb987027ab2 SHA1: c4addb7487388e6985f91cee989c6f528aaa3058 MD5sum: 4ddc74fef5e52a87cec5cfeba9919258 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 130 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 45528 SHA256: 0374ec798deb98e0fd7c775ffc5d2e91a260685998e8c3b69b721c711193e481 SHA1: 5c2b18234742869285987d86f9654d454d7d63bd MD5sum: 9952040d4dfd9291837dc661b3334a1a 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 21363 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 (>= 2.4), 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_i386.deb Size: 3376788 SHA256: 045c6977d55fbc85b4c533ced9a343656cd607137b4ff05c228f5ad0e6759a73 SHA1: ec449a840ecc654df964292ee5118052a1aa6ee7 MD5sum: c1ede80d8e00a5ff33916680579f41b9 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 60935 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_i386.deb Size: 56376862 SHA256: 192ea079bda5e0be9965b48cf1ad2acc379348854f82eec3a5e5e6044d794cdf SHA1: 045f44c45de02d7f5e1b5d29bebd860bb87a1f7a MD5sum: 02ebfe61bfebd421f2b9902ce59b17ff 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: i386 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_i386.deb Size: 171314 SHA256: 2457f175459a5596f9e894b3c1c7ecb0557543fcae5db6d629cf30d9a54b0821 SHA1: e24c59a4b92831f5a51e8c94ac9a1b2067ee1f38 MD5sum: 6b58996876e5aaa48ae9f22686d8d5e9 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: i386 Maintainer: NeuroDebian Team Installed-Size: 420 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_i386.deb Size: 133368 SHA256: fa875a12413c66e3a876daf9c18b04b1f42e2de0f422e667372503a0ac3d7990 SHA1: 69a70a46c0751f830914f2951bba3a9192a5a984 MD5sum: 491f2b08d2a463281eb23a1821ea9098 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: i386 Maintainer: NeuroDebian Team Installed-Size: 264 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), 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_i386.deb Size: 101210 SHA256: 496a195bbd1282688770acf343d5cad70ce080360a6dc2c4135ceb2ab89ea73b SHA1: c8955baa49e1ae13a73e9c2595f757634d713f5e MD5sum: d371d7b2d6933cc227bd0d7dd7d6b25c 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6520 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 (>= 2.7), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libopenscenegraph99, libopenthreads14, 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_i386.deb Size: 1299134 SHA256: 7de6180ea45ff284602b09262b8bbe3f1b90e31f952557c1e69bdf411e13a803 SHA1: 8940202fbcbf68e51ac631d0f91953cd60bd57c5 MD5sum: a67a050a5127f6d98ff2992a6576b0e8 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: i386 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_i386.deb Size: 249486 SHA256: e6de668ab690de5753fc0fa74170aba5dc8e348dc5a09cc19eaa491372b6561e SHA1: 24490df6c371ee3b0e8fc34725f9fb50378fb75f MD5sum: 0327bbd14e05470d617ba1f4d90f6dc1 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: i386 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_i386.deb Size: 141336 SHA256: 19acc9d492c83db480a0d4edba15c3f85106633d3ec637ccd27cbb2336a67d8d SHA1: 7481bf5048d559b26b8c8d2ea7d24bea6b3f7826 MD5sum: cb456d04e5f2b750d7a38680bdb67f4f 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 514 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_i386.deb Size: 149126 SHA256: 4203b1787cad3c9ce114a0e22e788df0b0404957fd3798ff42f2b4118a9b27e0 SHA1: a60c0af729c6fad3a47fd59170e6753a62b76c05 MD5sum: badd163e21ee99e5eba49c4d842d274e 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1198 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_i386.deb Size: 338180 SHA256: e729d94a51d673137070c883c1234daee093b23c8a697aacf500877ccd28e587 SHA1: d88c7d0a1d412fd154258f04e40ecfb5a9752e9a MD5sum: 69c9a18320b78e51cb0606d64634d5fc 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: lua-cnrun Source: cnrun Version: 2.0.1-1~nd14.04+1+nd14.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 96 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_i386.deb Size: 38696 SHA256: cd61e2be0f807da608ef7532583878d8d079c2759ff0a375a7667b59fcfbc508 SHA1: fbf1da5801ab6fd33de03fd03ede232c0677a029 MD5sum: 6d62857a4ee1d3a34a32ca7207a34555 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 7614 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 (>= 2.4), 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_i386.deb Size: 1416094 SHA256: 3095b40f53796b26334ecbec95dbfc76dfee41151701838f83090edb800e8f2a SHA1: 07712f38d543b9d08ba6493947394f234c35d654 MD5sum: 06008f7492e31ad91ca198c7d117d12b 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 27144 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_i386.deb Size: 25423536 SHA256: d0c0f6c87a59471a54eb80e378fc0216b41cb15e2ffe8c10c731507b056bc68e SHA1: 4ed585f77709080c20ad4f54bf33ba82a4603e72 MD5sum: fa057b527d657d281b9e22de3fa7e5d7 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: mricron Version: 0.20140804.1~dfsg.1-1~nd14.04+1+nd14.10+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 12491 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libc6 (>= 2.3.6-6~), 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_i386.deb Size: 2060426 SHA256: 63bb0a3d24db8896c72a6e31e2bba61528041785a39a9ee6d85a88496f4a4749 SHA1: 75a26f0f35e254f04a21bffde67f14a121baab40 MD5sum: 14b3ccf00fd7fb99762da23b6db38da8 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 46 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_i386.deb Size: 31368 SHA256: 387044987819755a056a6f7b5d8c4e2287c73f3438719d365aaf69309311d3b9 SHA1: f1a82198d90745d5ada3566ddb641d8b802f7c23 MD5sum: 193b12a4dc52641b3385237942282833 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: 0.37.1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 46 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_0.37.1~nd14.10+1_all.deb Size: 23024 SHA256: 73646ed7d45c7f36a2dabff63ee3ca3ea4d6073d5e2756232a80ef0d7614c125 SHA1: 5de939bc9fb9b03723eb0717bdf006465e8b1dd5 MD5sum: 95675fa51b3511f35dc22a7b52176a10 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: 0.37.1~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_0.37.1~nd14.10+1_all.deb Size: 9830 SHA256: 3c05be7335d13a0ab0f6ffddfd7a7b36a6109532f690648dead9336d14bf6bb9 SHA1: 1e8ead0cabda1fc0e4ca242e18025d41d545009d MD5sum: b034efc15dcfa33fadf2fd00121b428d 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: 0.37.1~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_0.37.1~nd14.10+1_all.deb Size: 115710 SHA256: 91fa1681501e8882e21b4353bf98484aef1f4c52d493d915ee8c05b45442f8b8 SHA1: 163e2ef8d2e93f62fcb83e603989e585f62e5188 MD5sum: 573b8ac7d7313f2b614c97b5b8841fb1 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: 0.37.1~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_0.37.1~nd14.10+1_all.deb Size: 31916 SHA256: 2d6b124649dc93c9736d54bfd1c169717a10a783caf553d96b6110bbffc11293 SHA1: b8d5b7f679f784988099f784f53a13aa533a1c13 MD5sum: 398ff0873b26a163a002a81aad3f2a77 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: 0.37.1~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_0.37.1~nd14.10+1_all.deb Size: 11928 SHA256: 6f0c8f1f8b6f8344e26e6e188d51e8f6c08d0f18285bcaeec8e4d3a3fbe98f8f SHA1: 55d5a5e112a52eed7f39753f44459c0520daf8e5 MD5sum: e78fbe4af38748531a94d47878cb53f7 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: i386 Maintainer: NeuroDebian Team Installed-Size: 142 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_i386.deb Size: 56386 SHA256: 064d4291879c02b13e0301bd6d2fb439d59399d9afa21e35fdc521eb95766ee8 SHA1: ca36954d806580945b705af48addb8eb757ac08e MD5sum: 25ecfc6688e3b52a1582c54f9935af1b 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: 0.5.13+ds-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2402 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_0.5.13+ds-1~nd14.10+1_all.deb Size: 557746 SHA256: 145ca2b360b148011bb4d20e9c0a2b76ecd52aeb914252e674992a7742cb1d23 SHA1: 7c3698b7e99b52f8794c57c1f1eb6da438862d7f MD5sum: f6da822522bf6eb90522af7cff048891 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 67 Depends: neurodebian-popularity-contest, octave (>= 3.4.3-1~), libbiosig1, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), liboctave2 Homepage: http://biosig.sf.net/ Priority: extra Section: science Filename: pool/main/b/biosig4c++/octave-biosig_1.4.1-2~nd14.10+1_i386.deb Size: 20186 SHA256: 9a00809351310175f5caca7bccb37e5d811db308145cf0307262ac3559cbc900 SHA1: 31a23c6d8bf40688167dc294f4a5289635d2ef89 MD5sum: 25671f59f0f5a26ec22f310c75053668 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: 3.0.12.20150419.dfgs1-1~nd14.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4222 Depends: neurodebian-popularity-contest, octave (>= 3.4.3-1~), freeglut3, libasound2 (>= 1.0.16), libc6 (>= 2.7), libdc1394-22, libfreenect0.5 (>= 1:0.1.1), libgcc1 (>= 1:4.1.1), 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), libxfixes3, libxi6 (>= 2:1.2.99.4), libxrandr2 (>= 2:1.2.99.3), libxxf86vm1, psychtoolbox-3-common (= 3.0.12.20150419.dfgs1-1~nd14.10+1), psychtoolbox-3-lib (= 3.0.12.20150419.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_3.0.12.20150419.dfgs1-1~nd14.10+1_i386.deb Size: 844444 SHA256: 9cda341def9d80515a93e7277353c6e435726c4dfddd4727ac35b0597cb51077 SHA1: 52fa83134939accf17a98e968ba3e5ebad9d9382 MD5sum: 3b4ee94083c5173f366538ef55c4f153 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 19201 Depends: neurodebian-popularity-contest, libbiosig1, libboost-filesystem1.55.0, libboost-regex1.55.0, libboost-system1.55.0, libboost-thread1.55.0, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libnifti2, libopenscenegraph99, libopenthreads14, 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_i386.deb Size: 3515512 SHA256: 3a8839255670c97748988fad5a21cde3ce9e59b02f44eac87d3073efe76e01dd SHA1: d9fa8e913b0779a62fa847403d74bffaf09f8a4b MD5sum: bc9deec5396f0769fcf4a86d0809ffe0 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2064 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 (>= 2.4), libgcc1 (>= 1:4.1.1), libopenscenegraph99, libopenthreads14, 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_i386.deb Size: 773362 SHA256: c18cf3bba9240e2f5616eadf2a10b3b0f5819651cc63cc6be2e7e54d1cd98b9f SHA1: e79ca81e9cf17c7b76cafe9c2149474c8514d32d MD5sum: f2b1b0688099ce7643f27a515d066817 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: 1.82.01.dfsg-2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14414 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_1.82.01.dfsg-2~nd14.10+1_all.deb Size: 6058736 SHA256: ec69c42ba0f01fca64d577c3875ac1c93eed2ed5ebe1f2ccfd9408c7ab53e177 SHA1: aa47c7524347432312480d46d6fa109b5297bb22 MD5sum: 2ce5b0053cb46ba1596fa4cb007ecf12 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: 3.0.12.20150419.dfgs1-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 233231 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_3.0.12.20150419.dfgs1-1~nd14.10+1_all.deb Size: 23787640 SHA256: 7a0b09b4076099a0352ad78d2be6f5844c9b6e4a59927e59a135461a9a4e59ce SHA1: 4f1399cc705198e636eb7c6527e0bdeb20e0b8dd MD5sum: 035be43e232c67a45895081ee8085af8 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: 3.0.12.20150419.dfgs1-1~nd14.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3473 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.12.20150419.dfgs1-1~nd14.10+1) Homepage: http://psychtoolbox.org Priority: extra Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.12.20150419.dfgs1-1~nd14.10+1_i386.deb Size: 690322 SHA256: 1cac647a689896fa27877d6f503d1a495a7ee866c49cef3378a87f1ba83889da SHA1: 86d94dd12a7c284d01bdae5d35c91ca595ef16ca MD5sum: 05da46dff69246452a3f5cb0d4a3e8fb 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: 3.0.12.20150419.dfgs1-1~nd14.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 145 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_3.0.12.20150419.dfgs1-1~nd14.10+1_i386.deb Size: 56330 SHA256: f740fbd1d164a11a9674eaf438c4d718a6c0ae0d85d9050363b8242fbb9512d5 SHA1: 7a90810be547099fba6672b73cc95f45953aae22 MD5sum: a66501754b94292aa8e10d0d74d754c2 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 210 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 (>= 2.4), 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_i386.deb Size: 44376 SHA256: d1a8cf13e93e688aeb067ddb31758eebfee0b3d2c5f5d6b5423fba12797d31ec SHA1: 93865b3e2a660a14be1bc67f2c9b27b3df1481a7 MD5sum: 87dd9c4304e0a2dbd644ecd22f416d3c 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-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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5758 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, python (>= 2.7), python (<< 2.8), libc6 (>= 2.4), 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_i386.deb Size: 937252 SHA256: 8733674d40e5f83213ab107e899d4bd4cd0e9a9a24738731b1f7c058f05d642d SHA1: 29297f560f0bd64138633fe367ef944bdcb7445b MD5sum: b5135b2457d0603e1820ec8d199eafd4 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 139 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_i386.deb Size: 43578 SHA256: 1620688137e056d93b0609695479703e2803628ee57928c96e2d77d8b14866df SHA1: b0f1616bd45bd70067d3413fa0fd751459b9a447 MD5sum: 2d586e27edac7a9cb772caa1deec1cad 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: 0.3.6+git28-g88f3dc2-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1189 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_0.3.6+git28-g88f3dc2-1~nd14.10+1_all.deb Size: 297274 SHA256: 9ebc6e7742ac3c4226f90e78d994127e855b3e604950a736d5b9fe384b7aff63 SHA1: d82b916dc109699b8af62c7a6678f66cd30be684 MD5sum: 3ce2e785c2d2864849221bad5fa176b0 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 209 Depends: neurodebian-popularity-contest, python-smmap, python (>= 2.7), python (<< 2.8), libc6 (>= 2.4) 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_i386.deb Size: 56246 SHA256: ac1605bf76ab42236facb15b279c76cca11691b946bbc99c02f345e2b79fb24e SHA1: 1676462307fed74894238bfb26d84a2ecf673c7b MD5sum: e2a714ca24554435bfd0a4212e7b0fea 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1250 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 237140 SHA256: 32b900803696e34831c5f7ce205cc42f8c63379af0dcfc08830718dd8b1b8380 SHA1: 33ffdcf4de18904e0c18f5d46653b394a30a0ce2 MD5sum: 04ae50702f7a370326e69666713d59cf 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 119 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 47058 SHA256: fb5fa526d9aeb3686acf2f7840e646ea1a20094e7d908a052e53ac2a63fcf3be SHA1: 663f874f29a5de252c6924670bf38e888d488833 MD5sum: b23d1d542b96d4935490a6970fafd6af 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: 2.0.1-1~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_2.0.1-1~nd14.10+1_all.deb Size: 1971754 SHA256: 623f2e19b0a2423b80ddb8cefa7c4b0e811c38096f2cf312ffa8707e82c84c6c SHA1: 48200f5d750e9529f0a8fea7bf84b24e8bb52ec1 MD5sum: 1a8fb393dff69920ff41e16a6af8743d 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: 2.0.1-1~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_2.0.1-1~nd14.10+1_all.deb Size: 2674954 SHA256: 9ef12bbd923ea680d7e79719ed2d0f0e29416547e369319894c526b77d7f27e0 SHA1: 003f45363eded333951e1491ba0a0677e52ea0b8 MD5sum: c3e555a31ca9ccacfa4e4d0dca3e0074 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-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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2638 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 547430 SHA256: b71377ba69d890814bb48432e434c41eaaa11fa765b83640a561605b67dac1b9 SHA1: 9561125f606a147be567ecab435c03afc1f1e5bc MD5sum: 5d1fbdccefc597c6cf99de6df723b0c2 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3041 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 429218 SHA256: de77873e8ccba1374858ff54d016d4ef232edce0782c44121bc2604bfa52b5de SHA1: 7c52b2af5f7769289ff9e976621360fc6ceaf0f7 MD5sum: b0430e36ceb15c75b7a23a14fd555732 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~b1-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1094 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~b1-1~nd14.10+1_all.deb Size: 191324 SHA256: 63ac1f66c51ca517be6d66aa20ada6b3f7fd91ae282d94690047b8ca2a11aa62 SHA1: 84b015e253bffc8d12b3669395bde29dde3b2a6a MD5sum: 3c003d01d5ba6aa9b81914d6d3822eeb 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6331 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 1493436 SHA256: 36ebe809d3f1685f53ca215fc55b267115759b43f2c324d051c39c8fecce2997 SHA1: a9dd4e9f9b5db4ed84ea1692a3b5d68ebb48d97c MD5sum: acef0a205d6c2762e0e032ddf2864cff 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: 0.3.0-3~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 720 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), 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_0.3.0-3~nd14.04+1+nd14.10+1_all.deb Size: 162652 SHA256: c76149e2dacb120bd8f3c1b6ed2cbd12f4bb39c14160dd5f98de03f6572c3639 SHA1: 624d99f13737b576d1d7bb6d9e9692b33a1044d3 MD5sum: e17b6ed139f49a6b1a773afaf1792da3 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: 0.3.0-3~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1307 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_0.3.0-3~nd14.04+1+nd14.10+1_all.deb Size: 353598 SHA256: fc77c2a48a18f94e7305ca8a94825b6679a87a446519f973671c28c86c0a2616 SHA1: bd4773b986560617d503b97a45802946b5267693 MD5sum: 298b4dd0cbb3c5e8df70d871b74f2b78 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-pyepl Source: pyepl Version: 1.1.0+git12-g365f8e3-2~nd13.10+1+nd14.04+1+nd14.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1370 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 (>= 2.4), 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_i386.deb Size: 275276 SHA256: 5c7ba9d454f6c9d1665787374e4fab8219345ddc329fa1bc704c1a1bb4476ef8 SHA1: de83936dc8e9a347fc0057d0ebb7dfcfe22e95fe MD5sum: b19d79b7aab2d0a0f50dff0bf1f8875b 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1816 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 (>= 2.11), 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_i386.deb Size: 374140 SHA256: c2343d526a5d2bebc4ae52d400b59335c63a9a97de0dbee2f81c575736da1a1c SHA1: a7949fc083efee07d03232acd94ff16df18c332b MD5sum: 1ca3ee3c8c9450044fa0a373be327305 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1545 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 333404 SHA256: 5c89c939b819aa44c496e1507f24e11c0bf5182cd82a1947b77b18420b01d73c SHA1: 9dc1a5d5266389e5d4b0b4b8c644f4ab89011024 MD5sum: 4d15744bf4888dec93c17b6e08a9d384 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-scikits-learn Source: scikit-learn Version: 0.16.1-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 50 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_0.16.1-1~nd14.10+1_all.deb Size: 47570 SHA256: b4e0a4ae6d91b241087349c2492b0fed7998ad87c1df60bb3abf846dc96e5800 SHA1: 161aab9faed6c9db157b56dba66d724d3b7615b7 MD5sum: c5071d9b72718646ea3d5a860e6ae0c3 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: 1.0.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 808 Depends: neurodebian-popularity-contest, python-boto, python-cssselect, python-libxml2, python-queuelib, python-twisted-conch, python-twisted-core, python-twisted-mail, python-twisted-web, python-w3lib (>= 1.8), python (>= 2.7), python (<< 2.8) Recommends: ipython, python-django, python-guppy, python-imaging, python-lxml, python-mysqldb, python-pygments Suggests: python-openssl Provides: python2.7-scrapy Homepage: http://scrapy.org/ Priority: optional Section: python Filename: pool/main/p/python-scrapy/python-scrapy_1.0.0-1~nd14.10+1_all.deb Size: 175056 SHA256: fd92cb794cd6507b22101b4c5c0dd02caa0eb29b6ad2245e4280e52786045d1f SHA1: a95360e0d9c86978fa2f852c135d669d12a91664 MD5sum: d44d5c1a7ed0a02a4fb3e5ad43596b72 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: 1.0.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7032 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_1.0.0-1~nd14.10+1_all.deb Size: 1562690 SHA256: 1ca99a5f261f2cdd64a9ab5585ec039a27eb827cc36ceb9a032ebb8f1d713e3f SHA1: 95e000cf305bcb6c5c8cb1aa021594caab31dfb0 MD5sum: 517b54ef56d999f040e7a2d93374417f 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-skimage-lib Source: skimage Version: 0.10.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 7411 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, python (>= 2.7), python (<< 2.8), libc6 (>= 2.4) Recommends: python-skimage Provides: python2.7-skimage-lib Homepage: http://scikit-image.org Priority: optional Section: python Filename: pool/main/s/skimage/python-skimage-lib_0.10.1-1~nd+1_i386.deb Size: 982388 SHA256: 83280730f9df605f66d977c739ce7aa0d73fd1767f134c8d291aa6fc4ef599f5 SHA1: 2e4534cc9093f56dac786064ae17ce303e20b706 MD5sum: 9e9046ee03889bee0c75b6c331520edf Description: Optimized low-level algorithms for scikit-image This is an add-on package for python-skimage. It provides optimized, low-level implementations of algorithms. . This package provides the Python 2 libraries. Python-Version: 2.7 Package: python-sklearn Source: scikit-learn Version: 0.16.1-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4588 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy, python-scipy, python-sklearn-lib (>= 0.16.1-1~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_0.16.1-1~nd14.10+1_all.deb Size: 1112454 SHA256: c4ec78ea6e2fa2fe5737d34eba08510f961a0f278062b497511288f1a7ed503b SHA1: d09fba596e00e3167665929f9df71133c6bb8431 MD5sum: 3c48f0d0a66f5a3643bc6a45a3ab882d 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: 0.16.1-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23589 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_0.16.1-1~nd14.10+1_all.deb Size: 3967200 SHA256: a8cbbbd7953717b035ffef5122b6812d4de8c2074af32810f655dfe0e39eec4a SHA1: 4e538914c50a3185136d3bf5e18e8b49176389c2 MD5sum: b7b2abdbf118058f82de3bde79dbc37b 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: 0.16.1-1~nd14.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4660 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), python-numpy (>= 1:1.8.0), python-numpy-abi9, python (>= 2.7), python (<< 2.8) 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_0.16.1-1~nd14.10+1_i386.deb Size: 994324 SHA256: d2909365d559a24938d1a392d0ec3766cf5b0a35c94aaea8f946a83ed53eca76 SHA1: aabc6b3ec33f14ca2a644e4446979b408615b31f MD5sum: 6d3ae01dd476f96d83ecae41a01eb5af 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: 0.8.3-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 69 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_0.8.3-1~nd14.10+1_all.deb Size: 19974 SHA256: 0696aa639a4965b5825e85fc8eca5f5b24d4ee18f33df67c43dd398a8ddc6960 SHA1: 177b09a1459bbe53b40e8dbee806c71c7667fb6e MD5sum: 7feef9fac9c2f8b49a74cc4f4ff5e6fd 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 897 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 (>= 2.4), 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_i386.deb Size: 312208 SHA256: 414e4d246dd645aa115e2eb1ef4cf8c6a88c0577208bb2e49cf92c0ed4dff1f1 SHA1: bdaf59840feb3e006cacb8eb8831bef66aa872ea MD5sum: 05bba12fa5acf7164c06131cd3e611ef 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-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: 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1246 Depends: neurodebian-popularity-contest, python3 (>= 3.4~), python3-pbr, python3 (<< 3.5), python3-numpy, libc6 (>= 2.4) Homepage: https://pythonhosted.org/lda/ Priority: optional Section: python Filename: pool/main/l/lda/python3-lda_1.0.2-9~nd14.10+1_i386.deb Size: 236258 SHA256: ac955d2f5b1e75fdf6179b6b8d3fa4a50ba79bd3b52e683dbfffaf6e3b6636de SHA1: e2012f69a56cea8b13dd621f1b6d97c7f2ecc625 MD5sum: c42482ec7822ae0bf5fe90dbd216d334 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: 2.0.1-1~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_2.0.1-1~nd14.10+1_all.deb Size: 1962434 SHA256: edf1624e2a087bf99cc84d78ae35aae0d904fd2346829cdb46f0607e72edac2f SHA1: e5d370c5581de223ab20aef9cd4d71f52ddd9b24 MD5sum: 0bf5a58740a6913358e7de2162634b11 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~b1-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1088 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-jdcal 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~b1-1~nd14.10+1_all.deb Size: 189892 SHA256: 77ed2fbca160d9b244a4eda12d3b0d0c493be150a3ca1521878bb76d3b2553a9 SHA1: 79eacd725a2f313a0d37d62302837b23e05cd971 MD5sum: 3e1383007bba5c9912120ad6d014b6c0 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6215 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 1429684 SHA256: 1a9ead97320c4ec074aee4312964ea5a1e6372e29dfcedffdb3ba886c27e7fb3 SHA1: 16dba1f52a4dc16c55734191a0e436b692e4efb6 MD5sum: e28ed2591458b246f71fd8b29b182213 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: 0.3.0-3~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 718 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), 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_0.3.0-3~nd14.04+1+nd14.10+1_all.deb Size: 162316 SHA256: adc7a41f49507052052692574cc08d6397fd0525d44f845f5bdf25afb19d444e SHA1: 716795b32ed68bf0934b2b1afc3b604c48a45fce MD5sum: 34829e253a86c9cdd8e3d400404ef549 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-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-skimage-lib Source: skimage Version: 0.10.1-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6883 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.8.0), python3-numpy-abi9, python3 (<< 3.5), python3 (>= 3.4~), libc6 (>= 2.4) Recommends: python3-skimage Homepage: http://scikit-image.org Priority: optional Section: python Filename: pool/main/s/skimage/python3-skimage-lib_0.10.1-1~nd+1_i386.deb Size: 905700 SHA256: 27be3eefe96e8c1754b96646fa70e371b1591252f34764203a9de515b9d6fc52 SHA1: 4bc5d6a4a4dbed47658f1c4ffee0680e4f152318 MD5sum: 95b2fb523aa05ad91dda93474ddf14c2 Description: Optimized low-level algorithms for Python 3 scikit-image This is an add-on package for python-skimage. It provides optimized, low-level implementations of algorithms. . This package provides the Python 3 libraries. 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: 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2570 Depends: neurodebian-popularity-contest, libbiosig1, libblas3 | libblas.so.3, libc6 (>= 2.4), 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_i386.deb Size: 748320 SHA256: b7b6505d582914d9441ec85dcfc8fe1e4523d1c90849f06ab87ee25001ceb011 SHA1: 19325774e4f4609f269db885618d4361280f936a MD5sum: 4b223f400fba9135fedac9865301978c 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 23985 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_i386.deb Size: 5826152 SHA256: e71652e36dc2a2460825329bcbd4a072f566b48046ee0f122d871c6a93c1886e SHA1: 4b2dc3e2100fb86420d331efba52f85c776ed238 MD5sum: b485fe41b516e8c1ad7ecd149394bc05 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 18660 Depends: neurodebian-popularity-contest, libboost-python1.55.0, libboost-system1.55.0, libboost-thread1.55.0, libc6 (>= 2.11), 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_i386.deb Size: 5290482 SHA256: 53cd8061b3b8c91b52e6f9b33692794fd7a8c79366be89f1d675e4cfb1c413c0 SHA1: 4c3330203d63524db68d9a8c0fa1c49b256a889c MD5sum: ae03152ce5ec66b1ae96799a85a04b44 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 44318 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_i386.deb Size: 43391744 SHA256: ee559b314c7897ceaad4942be27685f61a771b88ec635405cc8d5b1845699656 SHA1: 710ad2f46edecf542837e94051a223d63dd65aab MD5sum: abb38e703128da58ad5a9f58a647197b 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 292 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_i386.deb Size: 50160 SHA256: 5712ddeff52788ded26796706808f3216c2091a0602e9cdbee0343eb45a1ac88 SHA1: 2d952bf1b460492e5bdd41de66cbfe8f6fd924dc MD5sum: 97d308c79286530baf5487036bf506d8 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3445 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_i386.deb Size: 878636 SHA256: 15f1c2e95f1422f6f3b6ba7d3598a0878c068d041ef6166ff87ce462ec58dd3f SHA1: 741c2716de6494aeb7213ea3d4b664aea7d0bec1 MD5sum: c62b3c709ec1b67aa0fe86dc1fd204af 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.