Package: aghermann Version: 1.0.5-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1576 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libc6 (>= 2.8), libcairo-gobject2 (>= 1.10.0), libcairo2 (>= 1.2.4), libconfig++9, libfftw3-double3, libgcc1 (>= 1:4.1.1), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.31.18), libgnutls-deb0-28 (>= 3.3.0), libgomp1 (>= 4.9), libgsl0ldbl (>= 1.9), libgtk-3-0 (>= 3.3.16), libitpp8, liblua5.2-0, libpango-1.0-0 (>= 1.14.0), libpangocairo-1.0-0 (>= 1.14.0), libsamplerate0 (>= 0.1.7), libstdc++6 (>= 4.9), libunique-3.0-0 (>= 2.90.1), libvte-2.91-0, zlib1g (>= 1:1.1.4) Suggests: edfbrowser Homepage: http://johnhommer.com/academic/code/aghermann Priority: optional Section: science Filename: pool/main/a/aghermann/aghermann_1.0.5-1~nd90+1_i386.deb Size: 548350 SHA256: bf20290512aa84346906f4a205ce615505713eb62f841079350aa052f82aee1a SHA1: 7737c2a2d1fb45479a0b43794da9a62189a72e99 MD5sum: 10f5425fd9bb85460c14848767c3623a 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: bats Version: 0.4.0-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 41 Depends: neurodebian-popularity-contest Homepage: https://github.com/sstephenson/bats Priority: optional Section: shells Filename: pool/main/b/bats/bats_0.4.0-1~nd80+1+nd90+1_all.deb Size: 14426 SHA256: 70825f0e6845181b88902047cd7191b4fb222bb5fce4aed35e1cdb68823cf664 SHA1: 773936e0d736d5819cd688087d93f4e110652c10 MD5sum: 023d79d882ecaed97b5121b86834d8b3 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 704 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~nd80+1+nd90+1_i386.deb Size: 247990 SHA256: 9732fca7f7a76ef726c9723ffbcabaf5ecb53a7ee395eaae9c11f902ae1559e1 SHA1: 8305b4e7bf104fd01f581e811e7d2d90dbab833d MD5sum: 47b0f3b794b10d9f7676428a652e66cf Description: format conversion tools for biomedical data formats Based on BioSig library, this package provides command line tools, such as . - save2gdf: converter between different file formats, including but not limited to SCP-ECG(EN1064), HL7aECG (FDA-XML), GDF, EDF, BDF, CWFB. save2gdf can be also used to upload or retrieve data from a bscs server. Package: btrbk Version: 0.19.3-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 124 Depends: neurodebian-popularity-contest, perl, libdate-calc-perl, btrfs-tools (>= 3.14) Suggests: openssh-client Homepage: http://www.digint.ch/btrbk/ Priority: optional Section: utils Filename: pool/main/b/btrbk/btrbk_0.19.3-1~nd90+1_all.deb Size: 33226 SHA256: 4034b7118aea765a1fd1fe8e3e18edb262bd0dd42a9530d8dd602a91d9b4f0dd SHA1: 77ac1d58842997351e63f930723ebaa99690b890 MD5sum: ed8a326e6d38325cb263ee4fe38a0d93 Description: backup tool for btrfs volumes Backup tool for btrfs volumes, using a configuration file, allows creation of backups from multiple sources to multiple destinations at once, with ssh and configurable retention support (daily/weekly/monthly). Package: btrfs-tools Version: 4.0-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3587 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~nd90+1_i386.deb Size: 507396 SHA256: c9e048d10e57fe05d9c10ec1021bcae5c384391b7e164cb4df70b170014160a5 SHA1: 036cd6521f935ac26a226f95baf3be7d4fb5448d MD5sum: 3180aead021724e9d6a0cf40070928c5 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4738 Depends: neurodebian-popularity-contest, btrfs-tools (= 4.0-2~nd90+1) Homepage: http://btrfs.wiki.kernel.org/ Priority: extra Section: debug Filename: pool/main/b/btrfs-tools/btrfs-tools-dbg_4.0-2~nd90+1_i386.deb Size: 3864176 SHA256: 8d792590674dc0acf6e98698772e14ae4fc96e8f0d8cd24b04a7955a9b2cb0f6 SHA1: be7c4227ded44f28f30cab694b04994addb6866d MD5sum: e89c6334f2a7a2efc65009f48877c2ed 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 895 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~nd80+1+nd90+1_i386.deb Size: 150432 SHA256: 8552ef745da8b3cb3e20d2666aad36242997acf6e463835deef4b1bbcd1335ab SHA1: 4340f69d196bbd423a2e86dd31b6c45b385e7360 MD5sum: 5523095bdf1c10feb9ac86359a04e7a1 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: cgroup-bin Source: libcgroup Version: 0.37.1-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 166 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libcgroup1 Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: admin Filename: pool/main/libc/libcgroup/cgroup-bin_0.37.1-1~nd70+1+nd90+1_i386.deb Size: 55546 SHA256: 41d8ebcfcb5f29b3bc38243da39ac6eea7d33ca49b5f41575d5b8f18d490a286 SHA1: cf01b8f436385cfb01ff49b7d8c74a2911944fe0 MD5sum: 8479e90cc65a1edca5a8ebc92f26cd5b Description: Tools to control and monitor control groups Control Groups provide a mechanism for aggregating/partitioning sets of tasks, and all their future children, into hierarchical groups with specialized behaviour. . These tools help manipulate, control, administrate and monitor control groups and the associated controllers. Package: cmtk Version: 3.2.2-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 22588 Depends: neurodebian-popularity-contest, libbz2-1.0, libc6 (>= 2.7), libdcmtk2 (>= 3.6.0), libfftw3-double3, libgcc1 (>= 1:4.1.1), libgomp1 (>= 4.9), 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~nd80+1+nd90+1_i386.deb Size: 3717490 SHA256: 10d2461cd49e4ba70a4d7413392fc3921ef1993e26cf57be72594a767b839f25 SHA1: 521eb8f50eb0f8d8a87f54fb1d8ffe28e863e0ad MD5sum: 3d1e7cfffd0adbdb4ae7f6b9ed9dd3ca 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 58 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libcnrun2 (>= 2.0.0), libgcc1 (>= 1:4.1.1), libgomp1 (>= 4.2.1), libgsl0ldbl (>= 1.9), libstdc++6 (>= 4.4.0), libxml2 (>= 2.6.27) Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/cnrun-tools_2.0.1-1~nd80+1+nd90+1_i386.deb Size: 20724 SHA256: 4fc7a5115ace8e1347670a55f4e943ceb4c9dac9a82b9770d4676dd9930d9330 SHA1: aa3140b867651f42b3f0f1efc475e442c71e24c3 MD5sum: 600da57182e8eb17caa29ca6b69822f6 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: 8.2.8~dfsg.1-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 28 Depends: neurodebian-popularity-contest, htcondor Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor_8.2.8~dfsg.1-1~nd80+1+nd90+1_all.deb Size: 14830 SHA256: 6e041756b5c9efe1ff89b71e8c6e6032f9bf7c35f6afce534e2f0300ecc65b07 SHA1: 7e30cebb268de64b987015fe432915c0cbefc3b2 MD5sum: 445f74118ee23d433e3dcb6de8ee31f5 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: 8.2.8~dfsg.1-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 28 Depends: neurodebian-popularity-contest, htcondor-dbg Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor-dbg_8.2.8~dfsg.1-1~nd80+1+nd90+1_all.deb Size: 14846 SHA256: 57fb43b8d82ceee9d333d7c189a94e234bbeac351cd3a134ff59820225245d73 SHA1: ded3ab4a70da9beaf29f35b2ebd221bc72fad762 MD5sum: ff9b3c49b7b533642d773429b92f373f 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: 8.2.8~dfsg.1-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 28 Depends: neurodebian-popularity-contest, htcondor-dev Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor-dev_8.2.8~dfsg.1-1~nd80+1+nd90+1_all.deb Size: 14838 SHA256: 20092edb7e596f2a7617a021a9994201fcac586284e5ede3b7f2b2718396b535 SHA1: 16f161e7fe498784abb9e574eecdc7355672e778 MD5sum: 8a5e05afcda406148ad420671a156427 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: 8.2.8~dfsg.1-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 28 Depends: neurodebian-popularity-contest, htcondor-doc Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor-doc_8.2.8~dfsg.1-1~nd80+1+nd90+1_all.deb Size: 14838 SHA256: 74ea37a6be3881588f92fcc21b7f0c2a24fb82a76e1effe75264890e5abfec0b SHA1: d204f84d3f2891c210414ca8896eda1fe57cd798 MD5sum: fdfbd9dbd6fa09ae5f7898512d79563d Description: transitional dummy package This package aids upgrades of existing Condor installations to the new project and package name "HTCondor". The package is empty and it can safely be removed. Package: connectome-workbench Version: 1.1.1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 37924 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 (>= 2.1.0~2011week13), libstdc++6 (>= 4.9), zlib1g (>= 1:1.2.3.4) Recommends: caret Suggests: ffmpeg Homepage: http://www.nitrc.org/projects/workbench/ Priority: extra Section: science Filename: pool/main/c/connectome-workbench/connectome-workbench_1.1.1-1~nd90+1_i386.deb Size: 19564912 SHA256: 0d0eb49c7ba1711b531c02841094401e3730560024a4598d412cd1ac009e58d0 SHA1: c757cd44e72f40f73006ccbcb36c0c6ff0cfd947 MD5sum: 258dea5c7a88d0e5d4cd5524e4217289 Description: brain visualization, analysis and discovery tool Connectome Workbench is a brain visualization, analysis and discovery tool for fMRI and dMRI brain imaging data, including functional and structural connectivity data generated by the Human Connectome Project. . Package includes wb_command, a command-line program for performing a variety of analytical tasks for volume, surface, and CIFTI grayordinates data. Package: connectome-workbench-dbg Source: connectome-workbench Version: 1.1.1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 105952 Depends: neurodebian-popularity-contest, connectome-workbench (= 1.1.1-1~nd90+1) Homepage: http://www.nitrc.org/projects/workbench/ Priority: extra Section: debug Filename: pool/main/c/connectome-workbench/connectome-workbench-dbg_1.1.1-1~nd90+1_i386.deb Size: 104469232 SHA256: 3ebeef3071ea9002e8246f323ad6a7aea61e1836bb113a552e997f876ab43158 SHA1: 5c5c47ffdc56e40cad9762d066a624af51ffb56a MD5sum: 8d775e439a689cf6d6fd0af32cb0c8cb 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: connectomeviewer Version: 2.1.0-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1652 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-cfflib (>= 2.0.5), python-networkx (>= 1.4), python-nibabel, python-numpy (>= 1.3.0), python-scipy, python-chaco, mayavi2 (>= 4.0.0), ipython Recommends: python-nipype, python-dipy, python-matplotlib, python-qscintilla2 Suggests: nipy-suite Homepage: http://www.connectomeviewer.org Priority: extra Section: python Filename: pool/main/c/connectomeviewer/connectomeviewer_2.1.0-1~nd70+1+nd90+1_all.deb Size: 1150994 SHA256: 1010e605b6a3e8827a5299a1ecf248cb610c8c3bb77d922740cfcba689bc981c SHA1: 32ccf0c290df8fb04b3b660d507e3a0f0125b9c9 MD5sum: acbc76e7ac065581a48f09e5bdfb4968 Description: Interactive Analysis and Visualization for MR Connectomics The Connectome Viewer is a extensible, scriptable, pythonic research environment for visualization and (network) analysis in neuroimaging and connectomics. . Employing the Connectome File Format, diverse data types such as networks, surfaces, volumes, tracks and metadata are handled and integrated. The Connectome Viewer is part of the MR Connectome Toolkit. Package: coop-computing-tools Source: cctools Version: 3.4.2-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3890 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libfuse2 (>= 2.6), libglobus-common0 (>= 15), libglobus-gss-assist3 (>= 9), libglobus-gssapi-gsi4 (>= 10), libkrb5-3 (>= 1.6.dfsg.2), libmysqlclient18 (>= 5.5.24+dfsg-1), libncurses5 (>= 5.5-5~), libopenmpi1.6, libreadline6 (>= 6.0), libstdc++6 (>= 4.1.1), libtinfo5, python Suggests: coop-computing-tools-doc, condor, gridengine-client Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: utils Filename: pool/main/c/cctools/coop-computing-tools_3.4.2-1~nd70+1+nd90+1_i386.deb Size: 561650 SHA256: a702a5e69d3f083fc00015273acc32cf75164aad5857d4a75bc54cc113031f0a SHA1: c7b8101b6d0ccbb4e70069fe087693b4f9a55acb MD5sum: af3fc0f7d9bda62b923ac7620dfcd8d6 Description: cooperative computing tools This is a collection of software that help users to share resources in a complex, heterogeneous, and unreliable computing environment. This includes: . * Chirp: A personal filesystem and I/O protocol that allows unprivileged users to share space securely, efficiently, and conveniently. When combined with Parrot, Chirp allows users to create custom wide-area distributed filesystems. * Parrot: A transparent user-level virtual filesystem that allows any ordinary program to be attached to a remote storage device such as an FTP server or a Chirp server. * Makeflow: A workflow system for parallel and distributed computing that uses a language very similar to Make. * Work Queue: A system and API for building master-worker style programs that scale up to thousands of processors. * All Pairs: A computational abstraction for running very large Cartesian products. * Wavefront: A computational asbtraction for running very large dynamic programming problems. * The Fault Tolerant Shell: A high-level programming language that allows users to combine the ease of shell scripting, the power of distributed programming, and the precision of compiled languages. Basically, parallel programming and exception handling for scripts. Package: coop-computing-tools-dev Source: cctools Version: 3.4.2-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 855 Depends: neurodebian-popularity-contest Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: libs Filename: pool/main/c/cctools/coop-computing-tools-dev_3.4.2-1~nd70+1+nd90+1_i386.deb Size: 162558 SHA256: 38c9ec79673beb97481a45ba58a6b29db98ed8351bd6def07c0fa991ad11f321 SHA1: 8b387e0a3b6f2ec48c5442ff08de389296eab897 MD5sum: 7cb4fb6be77aff51f9f2145f7e626144 Description: libraries and header files for coop-computing-tools These tools are a collection of software that help users to share resources in a complex, heterogeneous, and unreliable computing environment. . This package provides static libraries and header files for development. Package: coop-computing-tools-doc Source: cctools Version: 3.4.2-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2821 Depends: neurodebian-popularity-contest, libjs-jquery Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: doc Filename: pool/main/c/cctools/coop-computing-tools-doc_3.4.2-1~nd70+1+nd90+1_all.deb Size: 211826 SHA256: da05214a18baf5e069af50d860dbcb3efcf3bf210dca18f9e4e96bb1aeca249d SHA1: 6cc266c35d33a6090c5c33c9b8f308971a24cb83 MD5sum: adc3cb13d9be11595ff7978d1fea0eed Description: documentation for coop-computing-tools These tools are a collection of software that help users to share resources in a complex, heterogeneous, and unreliable computing environment. . This package provides the documentation (manual and API reference) in HTML format. Package: debian-handbook Version: 6.0+20120509~nd+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23450 Depends: neurodebian-popularity-contest Homepage: http://debian-handbook.info Priority: optional Section: doc Filename: pool/main/d/debian-handbook/debian-handbook_6.0+20120509~nd+1+nd90+1_all.deb Size: 21615222 SHA256: a85ad362072ccad3a1034ac7ae2073b117a7a9001e79b131a6929272734e7f46 SHA1: 065382f6d0be6a5cbe2372ba15a0509f85b73894 MD5sum: 201becf6284759af070b8ee950fab0fb Description: reference book for Debian users and system administrators Accessible to all, the Debian Administrator's Handbook teaches the essentials to anyone who wants to become an effective and independent Debian GNU/Linux administrator. . It covers all the topics that a competent Linux administrator should master, from the installation and the update of the system, up to the creation of packages and the compilation of the kernel, but also monitoring, backup and migration, without forgetting advanced topics like SELinux setup to secure services, automated installations, or virtualization with Xen, KVM or LXC. . The Debian Administrator's Handbook has been written by two Debian developers — Raphaël Hertzog and Roland Mas. . This package contains the English book covering Debian 6.0 “Squeeze”. Package: debruijn Version: 1.6-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 137 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), 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~nd70+1+nd90+1_i386.deb Size: 35798 SHA256: 5483757b907689394c082d7ffedca36f362e2cb27ef623734d0a9bb5581f6442 SHA1: 1585839706978c785e4ecd5f5d62c94eda4a200c MD5sum: 7b539725dca29cfbb88081cd3e7fdd04 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: dh-systemd Source: init-system-helpers Version: 1.18~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 49 Depends: neurodebian-popularity-contest, perl, debhelper Multi-Arch: foreign Priority: extra Section: admin Filename: pool/main/i/init-system-helpers/dh-systemd_1.18~nd80+1+nd90+1_all.deb Size: 13810 SHA256: e3c6d4ea450b9b4462716a4379e06303dca077c6e37664293366eb1645700d16 SHA1: 0fe321df5ef5262d0395dcd70106aa69091d7822 MD5sum: 768da456c2645982f0a93d8ace2c098d Description: debhelper add-on to handle systemd unit files dh-systemd provides a debhelper sequence addon named 'systemd' and the dh_systemd_enable/dh_systemd_start commands. . The dh_systemd_enable command adds the appropriate code to the postinst, prerm and postrm maint scripts to properly enable/disable systemd service files. The dh_systemd_start command deals with start/stop/restart on upgrades for systemd-only service files. Package: dicomnifti Version: 2.32.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 483 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~nd80+1+nd90+1_i386.deb Size: 97050 SHA256: 976c7a3d0749b5d82a684862977bbc96aa9375baf404128162491df4bcc439cb SHA1: 3a675054b72246de0697218890c348d2337cb6e0 MD5sum: a4587f2781adfa1767549f13157a21f5 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2800 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~nd80+1+nd90+1_i386.deb Size: 670466 SHA256: b079571e2f3677ab2554791dcfe5ed65a81db1598695be10b9ced18fae6a62c6 SHA1: cf442a15930f44b87f83eea5cfcc235c7c4e9dd3 MD5sum: 8567b2f1533f87e69d25d1ef9cac11f2 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 20321 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~nd80+1+nd90+1_i386.deb Size: 4329140 SHA256: df47b6d491e04da2edb6b6d7e495299bd4035491595339804845ed4f4dc19cba SHA1: 05dd6e3a55cee43eae58680fc269b086f1c51188 MD5sum: cb5cd7a75db75851c9f37467a7532827 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: edac-utils Version: 0.18-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 78 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libedac1, lsb-base (>= 3.0-6) Recommends: dmidecode Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: admin Filename: pool/main/e/edac-utils/edac-utils_0.18-1~nd70+1+nd90+1_i386.deb Size: 26370 SHA256: 69e3e02541ef0fb5dc2965c62644fa8fe34f76e32e13ef1577bb18ce744721c1 SHA1: 66b2abb30133d4247dd7f6b1e751b2111d7fb655 MD5sum: 33850dbb9b51d7bb0ac522706067c46c Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package provides command lines tools Package: eeglab11-sampledata Source: eeglab11 Version: 11.0.0.0~b~dfsg.1-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8117 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/e/eeglab11/eeglab11-sampledata_11.0.0.0~b~dfsg.1-1~nd70+1+nd90+1_all.deb Size: 7075168 SHA256: 5d83d4720ebbec466e44e83c6e6a8a5b67bc8486f93bc571cde2403982dfaf0c SHA1: 062335d0be9ced61269e7ab4ae3bb9034993d9b6 MD5sum: 62a51e7e7f38cd6cdc21ef2931432201 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: fail2ban Version: 0.8.13-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 654 Depends: neurodebian-popularity-contest, python:any (>= 2.6.6-7~), lsb-base (>= 2.0-7) Recommends: iptables, whois, python-pyinotify Suggests: python-gamin, mailx, system-log-daemon Homepage: http://www.fail2ban.org Priority: optional Section: net Filename: pool/main/f/fail2ban/fail2ban_0.8.13-1~nd80+1+nd90+1_all.deb Size: 165002 SHA256: 8891f13b27c416ffae35e3f221c9e515895727db7582851ff7bfbdcdbf3ffbb6 SHA1: cfe5df32ace15f32a7a080eadaa7a84d0efb49c1 MD5sum: 54131b95bc2301368bf604dcbb8f3a4c Description: ban hosts that cause multiple authentication errors Fail2ban monitors log files (e.g. /var/log/auth.log, /var/log/apache/access.log) and temporarily or persistently bans failure-prone addresses by updating existing firewall rules. Fail2ban allows easy specification of different actions to be taken such as to ban an IP using iptables or hostsdeny rules, or simply to send a notification email. . By default, it comes with filter expressions for various services (sshd, apache, qmail, proftpd, sasl etc.) but configuration can be easily extended for monitoring any other text file. All filters and actions are given in the config files, thus fail2ban can be adopted to be used with a variety of files and firewalls. Package: freeipmi Version: 1.4.9-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+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~nd90+1_all.deb Size: 1176 SHA256: 0e4e167e592b924f79472395fbee7033689ee077ee3574f35ef74577fdeffec3 SHA1: 3365f20281a15110bd4bd43778b9a980ccc99f72 MD5sum: 46c90a6d59e5a2a2d9f9c3c2a1c01232 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 144 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfreeipmi16 (>= 1.1.5), libgcrypt20 (>= 1.6.0), freeipmi-common (= 1.4.9-1~nd90+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~nd90+1_i386.deb Size: 45258 SHA256: c0a776db0d31bc81daf79a9d3f6c01367880cd729acf0b64f830a1cefd7b65be SHA1: 0b29e1ea18e413dd75fabd04f08e8f4beff74905 MD5sum: 2f441f6d7fc080b7de2ffd2a55214bcc 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 491 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~nd90+1_all.deb Size: 339408 SHA256: 2ef4d1b9c56554a9d5f40d860ae0da8bf8469166b892ccd06ab53c8d7e847f0c SHA1: d7c76e4e962bac7828af674c926009546d927d99 MD5sum: 302ae30afdce18d894d054859912176e 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 132 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfreeipmi16 (>= 1.1.5), libgcrypt20 (>= 1.6.0), libipmidetect0 (>= 1.1.5), freeipmi-common (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-ipmidetect_1.4.9-1~nd90+1_i386.deb Size: 39790 SHA256: 7226ed33ec68c8cdb35623696ffad6e022380f077f53e99417938a009cf0b96f SHA1: 4c9ea00a482f61466df5df660d1f876ae3c87956 MD5sum: 189d89f69324d713eb9de6b8b2b5480d 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 219 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfreeipmi16 (>= 1.4.4), libgcrypt20 (>= 1.6.0), freeipmi-common (= 1.4.9-1~nd90+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~nd90+1_i386.deb Size: 82188 SHA256: 916c0c7b021f0bb05e16127459efb0089455e2f0565273e1bf4e542728d8aaa5 SHA1: f51495f27d142fa3f75819d79b83c2c80486c6c6 MD5sum: f5d4ac44f4b9ac6167a0608615fb39bb 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3080 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libfreeipmi16 (>= 1.4.9-1~nd90+1), libgcrypt20 (>= 1.6.0), libipmiconsole2 (>= 1.4.4), libipmidetect0 (>= 1.1.5), freeipmi-common (= 1.4.9-1~nd90+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~nd90+1_i386.deb Size: 623342 SHA256: 40bfb5a94b67576671fa0d0af843dd5fd0eb8593d510ecbfe893862c186120fb SHA1: 8061daac56fe1cf04a1feb72120bbdb04de2d737 MD5sum: 98905fde6eafeb66e539de6d8d1fad07 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~nd90+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~nd90+1_i386.deb Size: 8488 SHA256: 2947b5a5b6719c60afd3ef8609bf5782abf3b15ceadfbbfddd264aaf45a8bf2b SHA1: 17bd161d1cbc682327ef470c0c7473c554085c6f MD5sum: 1fc6af41d544707fc45b023efb5de2fe 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: fsl-melview Source: melview Version: 1.0.1+git9-ge661e05~dfsg.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 74 Depends: neurodebian-popularity-contest, python, python-matplotlib, python-numpy, python-pkg-resources, python-scipy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-nibabel, python-pyface, python-traits, python-traitsui, python-enthoughtbase Suggests: fsl-core Homepage: http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Melview Priority: optional Section: science Filename: pool/main/m/melview/fsl-melview_1.0.1+git9-ge661e05~dfsg.1-1~nd90+1_all.deb Size: 13912 SHA256: 645e077ce9ef18f5ed060f06cfe1db6182307f8bd85ed6c3700847be65513549 SHA1: 27fffc42b2ab3cd055e60861ee89b66c41ba53c6 MD5sum: 8f155d7108a9e153239de07847443ded Description: viewer for the output of FSL's MELODIC This viewer can be used to facilitate manual inspection and classification of ICA components computed by MELODIC. As such, it is suited to generate hand-curated labels for FSL's ICA-based denoising tool FIX. Python-Version: 2.7 Package: fslview Version: 4.0.1-2~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6132 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libnewmat10ldbl, libnifti2, libqt4-qt3support (>= 4:4.5.3), libqt4-xml (>= 4:4.5.3), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.7.0~beta1), libqwt5-qt4, libstdc++6 (>= 4.9), libvtk5.8, libvtk5.8-qt4 Recommends: fslview-doc, qt-assistant-compat Suggests: fsl-atlases Conflicts: fsl-fslview Replaces: fsl-fslview Homepage: http://www.fmrib.ox.ac.uk/fsl/fslview Priority: optional Section: science Filename: pool/main/f/fslview/fslview_4.0.1-2~nd80+1+nd90+1_i386.deb Size: 1270482 SHA256: 8ab6682e3b701b141a8aa1bad0b9c2f0e322fb3677f6807b0eab2f9961bec5f8 SHA1: ade35ba500b0fb5a899b84e778fb1bcd37ef0fa3 MD5sum: ca2b27e84636f6001d31fb4f327cf130 Description: viewer for (f)MRI and DTI data This package provides a viewer for 3d and 4d MRI data as well as DTI images. FSLView is able to display ANALYZE and NIFTI files. The viewer supports multiple 2d viewing modes (orthogonal, lightbox or single slices), but also 3d volume rendering. Additionally FSLView is able to visualize timeseries and can overlay metrical and stereotaxic atlas data. . FSLView is part of FSL. Package: fslview-doc Source: fslview Version: 4.0.1-2~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2929 Depends: neurodebian-popularity-contest Homepage: http://www.fmrib.ox.ac.uk/fsl/fslview Priority: optional Section: doc Filename: pool/main/f/fslview/fslview-doc_4.0.1-2~nd80+1+nd90+1_all.deb Size: 2226908 SHA256: 8b844c2c11167f41b2d20536095b36c3404514cb21c283097fc0cc876990d949 SHA1: a1a17b9b680e41e9757918f98c497c5ef1b253ec MD5sum: 2554c2d2bf8c93da5554a559ca7aaa58 Description: Documentation for FSLView This package provides the online documentation for FSLView. . FSLView is part of FSL. Package: gcalcli Version: 3.3-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1759 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~nd90+1_all.deb Size: 1666496 SHA256: 5044daba25fb879ef7cf21f2724730a7e850d8efb7bd187944bf7a0e26673adc SHA1: 4e94fd11bcd60e6ea9bf790da67d8cb1a1d7791e MD5sum: b9f9c04f257be618fab434c9cb520079 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: gdf-tools Source: libgdf Version: 0.1.2-2~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 212 Depends: neurodebian-popularity-contest, libboost-filesystem1.55.0, libboost-program-options1.55.0, libboost-system1.55.0, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libgdf0, libstdc++6 (>= 4.1.1) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: utils Filename: pool/main/libg/libgdf/gdf-tools_0.1.2-2~nd70+1+nd90+1_i386.deb Size: 51830 SHA256: 993bd4698945d68525845c96e322900d94000d848c74cea8e9fb9049e55a3d8e SHA1: 36a94c9de2ff90a63d10349dcd8a149fd07fdf9b MD5sum: 33438e66d8d9568f4dec13834c066343 Description: IO library for the GDF -- helper tools GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides the tool shipped with the library (gdf_merger). Package: git-annex Version: 5.20150327+git27-g6af24b6-1~nd80+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 40847 Depends: neurodebian-popularity-contest, libc6 (>= 2.11), libffi6 (>= 3.0.4), libgmp10, libgnutls-deb0-28 (>= 3.3.0), libgsasl7 (>= 1.4), libicu52 (>= 52~m1-1~), libidn11 (>= 1.13), libsqlite3-0 (>= 3.5.9), libxml2 (>= 2.7.4), libyaml-0-2, zlib1g (>= 1:1.1.4), git (>= 1:2.0), rsync, wget, curl, openssh-client (>= 1:5.6p1) Recommends: lsof, gnupg, bind9-host, quvi, git-remote-gcrypt (>= 0.20130908-6), nocache, aria2, bittornado | bittorrent Suggests: graphviz, bup, tahoe-lafs, libnss-mdns Homepage: http://git-annex.branchable.com/ Priority: optional Section: utils Filename: pool/main/g/git-annex/git-annex_5.20150327+git27-g6af24b6-1~nd80+1_i386.deb Size: 8272490 SHA256: 34fb5511d61b20893406fbb53be89e85eea0fbcc811d8faa57cc851f22613465 SHA1: 115b391009ee51e6dcd20ce0c20aa71330fb6010 MD5sum: b5c9c0a3d5205a8be0747b4d591380cb Description: manage files with git, without checking their contents into git 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. 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 352 Depends: neurodebian-popularity-contest, libglew1.9 (= 1.9.0-3~bnd1~nd70+1+nd90+1), libc6 (>= 2.1), libgl1-mesa-glx | libgl1, libx11-6, libxext6, libxi6, libxmu6 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~nd70+1+nd90+1_i386.deb Size: 94102 SHA256: 40d3fd31a00fef644860af640f65953950840904ef10c03090cf38face9e135c SHA1: a5ec37ec4fd11b581cfc78ab58d7f2b9847da112 MD5sum: 10d6c19998c2ccde88646b843abd4a4e 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: gmsl Version: 1.1.5-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 89 Depends: neurodebian-popularity-contest, make Homepage: http://gmsl.sourceforge.net/ Priority: optional Section: devel Filename: pool/main/g/gmsl/gmsl_1.1.5-1~nd80+1+nd90+1_all.deb Size: 13846 SHA256: f245e355fff5b0333d20373a3733b34a6d5b89ecbb07e4a9f6dfe46266429ee1 SHA1: 96f7917de1151cc9ac199889d3346600c5beb585 MD5sum: 036fe63e248473476a6832cdce6324e0 Description: extra functions to extend functionality of GNU Makefiles The GNU Make Standard Library (GMSL) is a collection of functions implemented using native GNU Make functionality that provide list and string manipulation, integer arithmetic, associative arrays, stacks, and debugging facilities. . Note that despite the name of this project, this library is NOT standard and is NOT written or distributed by the GNU project. Package: guacamole Source: guacamole-client Version: 0.8.3-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 516 Depends: neurodebian-popularity-contest, guacd Recommends: libguac-client-vnc0 Suggests: tomcat6 | jetty Homepage: http://guac-dev.org/ Priority: extra Section: net Filename: pool/main/g/guacamole-client/guacamole_0.8.3-1~nd80+1+nd90+1_all.deb Size: 431706 SHA256: 5baa52ac170db52217a2be61aa88e322b8b07d6547ff413c7c07a7ac5bf553fc SHA1: 38c24c6ff1aff4765fa37cdb6da96279569d4152 MD5sum: 523c9f22b9b0eba895a126a68c17b946 Description: HTML5 web application for accessing remote desktops Guacamole is an HTML5 web application that provides access to a desktop environment using remote desktop protocols. A centralized server acts as a tunnel and proxy, allowing access to multiple desktops through a web browser. No plugins are needed: the client requires nothing more than a web browser supporting HTML5 and AJAX. Package: guacamole-tomcat Source: guacamole-client Version: 0.8.3-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: neurodebian-popularity-contest, debconf, guacamole, tomcat6, libguac-client-vnc0, debconf (>= 0.5) | debconf-2.0 Homepage: http://guac-dev.org/ Priority: extra Section: net Filename: pool/main/g/guacamole-client/guacamole-tomcat_0.8.3-1~nd80+1+nd90+1_all.deb Size: 6780 SHA256: 6c7669e2313d4005be8fcd92836431a6acb0a8f6ff4b8c47108098e729bb4de1 SHA1: 8a20da50241cc0df8ca6b943c6896fca09230629 MD5sum: e152fd7e06d9454ac0c22f08b3dd4b9f Description: Tomcat-based Guacamole install with VNC support Guacamole is an HTML5 web application that provides access to a desktop environment using remote desktop protocols. A centralized server acts as a tunnel and proxy, allowing access to multiple desktops through a web browser. No plugins are needed: the client requires nothing more than a web browser supporting HTML5 and AJAX. . This metapackage depends on Tomcat, Guacamole, and the VNC support plugin for guacamole. Guacamole is automatically installed and configured under Tomcat. Package: guacd Source: guacamole-server Version: 0.8.3-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 50 Depends: neurodebian-popularity-contest, lsb-base (>= 3.0-6), libc6 (>= 2.15), libguac5, libssl1.0.0 (>= 1.0.0) Homepage: http://guac-dev.org/ Priority: extra Section: net Filename: pool/main/g/guacamole-server/guacd_0.8.3-1~nd80+1+nd90+1_i386.deb Size: 14448 SHA256: 7da707feefb5ec2a3c7338330eaf983d1eb52b6722f9c7273d87f78d988ea86d SHA1: faf30cd7d5737b063547959e42c1476bea7232ea MD5sum: 3e46e9c451d5a9bae9aeb8e37eae1c46 Description: Guacamole proxy daemon The Guacamole proxy daemon, guacd, translates between remote desktop protocols (like VNC) and the Guacamole protocol using protocol plugins. Once a user is authenticated with the Guacamole web application, a tunnel is established through the web application to guacd, allowing the JavaScript client to communicate to an arbitrary remote desktop server through guacd. Package: htcondor Source: condor Version: 8.2.8~dfsg.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 15154 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 (>= 3), libglobus-common0 (>= 15), 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 (>= 11), libglobus-openssl-module0 (>= 3), libglobus-rsl2 (>= 9), libglobus-xio0 (>= 5), libgsoap7, 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), libltdl7 (>= 2.4.2), libpcre3 (>= 1:8.35), 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_8.2.8~dfsg.1-1~nd80+1+nd90+1_i386.deb Size: 4403906 SHA256: d948b60bd11a2a9c21bacd1d4dbe3d32b8e2fe9418972c1f74df813ea15acf22 SHA1: f4702ccae6cd1a1a44502f5f49dbc038fff573c0 MD5sum: 95f34993562abbeb5301340815524868 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: 8.2.8~dfsg.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 33002 Depends: neurodebian-popularity-contest, htcondor (= 8.2.8~dfsg.1-1~nd80+1+nd90+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_8.2.8~dfsg.1-1~nd80+1+nd90+1_i386.deb Size: 31150676 SHA256: 1d0b8a7ee638e957b891e31c61ef254d4598c59b6f4d243922b2fa4096b54489 SHA1: 441d9868672eed458115bb363a7f9f79701f806a MD5sum: 95c3898df5d0af672626c4c0886628a8 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: 8.2.8~dfsg.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 1232 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_8.2.8~dfsg.1-1~nd80+1+nd90+1_i386.deb Size: 286926 SHA256: 1da6bd04f91941acbb6561ef3495b43e32175f111733242d7958637b8f69b55e SHA1: cb16329534b615931adef99e9140826b4ebeaf87 MD5sum: 192b0fc720dae8d2801783c0a137095d 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: 8.2.8~dfsg.1-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 5843 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_8.2.8~dfsg.1-1~nd80+1+nd90+1_all.deb Size: 1028976 SHA256: f6dabba692154c5db62a57c1a45b48550f44d4edd5f3d0a8be27333b41af50de SHA1: c6f2ace9862bd0bc11f269c9948b22aea551c9cd MD5sum: db4d996f09078a58b256a7a36f8b436f 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: impressive Version: 0.10.5-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 347 Depends: neurodebian-popularity-contest, python-opengl, python-pygame, python-imaging, poppler-utils | xpdf-utils (>= 3.02-2) Recommends: pdftk, perl Suggests: ghostscript, latex-beamer Conflicts: keyjnote (<< 0.10.2r-0) Replaces: keyjnote (<< 0.10.2r-0) Provides: keyjnote Homepage: http://impressive.sourceforge.net/ Priority: optional Section: x11 Filename: pool/main/i/impressive/impressive_0.10.5-1~nd80+1+nd90+1_all.deb Size: 151610 SHA256: 8c5ea64991279a13c427ff3d812e99bf86ee623bf641279f51bf2808c6d4e39c SHA1: c1f7f89435edc36583a33aa5e60d23126865299d MD5sum: 34bfc7b2579bc4eaa976794a289fc235 Description: PDF presentation tool with eye candies Impressive is a program that displays presentation slides using OpenGL. Smooth alpha-blended slide transitions are provided for the sake of eye candy, but in addition to this, Impressive offers some unique tools that are really useful for presentations. Some of them are: * Overview screen * Highlight boxes * Spotlight effect * Presentation scripting and customization Package: incf-nidash-oneclick-clients Source: incf-nidash-oneclick Version: 2.0-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 39 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~nd70+1+nd90+1_all.deb Size: 9058 SHA256: dcb57631757a7635c3ee68bb989b2f3f77856c1f88d842cd64848f9776236e69 SHA1: e1caeb23b63a7b84829314c2a60b5130edb4d200 MD5sum: c220623e4e8976077d0c3de0d45bec30 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: init-system-helpers Version: 1.18~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 49 Depends: neurodebian-popularity-contest, perl Breaks: systemd (<< 44-12) Multi-Arch: foreign Priority: extra Section: admin Filename: pool/main/i/init-system-helpers/init-system-helpers_1.18~nd80+1+nd90+1_all.deb Size: 13434 SHA256: 62d797ebebb6d054e9bfd1e70bfbc4eb760d8e06fa249d32af9f365f170f9f26 SHA1: 0d36a24804a540495ffcbba060615184e3708bbf MD5sum: 4d9b782a3c2f9164950b1f12bc035513 Description: helper tools for all init systems This package contains helper tools that are necessary for switching between the various init systems that Debian contains (e.g. sysvinit, upstart, systemd). An example is deb-systemd-helper, a script that enables systemd unit files without depending on a running systemd. . While this package is maintained by pkg-systemd-maintainers, it is NOT specific to systemd at all. Maintainers of other init systems are welcome to include their helpers in this package. Package: insighttoolkit4-examples Source: insighttoolkit4 Version: 4.7.0-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3081 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~nd80+1+nd90+1_all.deb Size: 2498516 SHA256: d34d9328e9e8bd7bfb745a1cd0b915f0f61485c07ec1e0f65fc4c0f14eb68aed SHA1: 90d42a16d1a1b428e004c26671f83663ca9b35d0 MD5sum: 276b12088d4b89a13556404f5b95b99c 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: itksnap Version: 3.2.0-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 13760 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libgdcm2.4, libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libinsighttoolkit4.6, libqt5core5a (>= 5.1.0), libqt5gui5 (>= 5.2.0), libqt5opengl5 (>= 5.0.2), libqt5qml5 (>= 5.0.2), libqt5widgets5 (>= 5.2.0), libstdc++6 (>= 4.9), libvtk6.1, zlib1g (>= 1:1.1.4) Homepage: http://www.itksnap.org Priority: optional Section: science Filename: pool/main/i/itksnap/itksnap_3.2.0-1~nd80+1+nd90+1_i386.deb Size: 3045534 SHA256: ee69ece34fed0ba5ea2ea7a59570a5bf3731e5b8c3b7858b5c4f1cda7eaad59c SHA1: 8fe877b4480147c64420ebc62cc71d81f42d15ba MD5sum: d9b592645c23cd671baac4f36732836c Description: semi-automatic segmentation of structures in 3D images SNAP provides semi-automatic segmentation of structures in medical images (e.g. magnetic resonance images of the brain) using active contour methods, as well as manual delineation and image navigation. Noteworthy features are: . * Linked cursor for seamless 3D navigation * Manual segmentation in three orthogonal planes at once * Support for many different 3D image formats, including NIfTI * Support for concurrent, linked viewing and segmentation of multiple images * Limited support for color images (e.g., diffusion tensor maps) * 3D cut-plane tool for fast post-processing of segmentation results Package: klustakwik Version: 2.0.1-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 75 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://sourceforge.net/projects/klustakwik/ Priority: extra Section: science Filename: pool/main/k/klustakwik/klustakwik_2.0.1-1~nd70+1+nd90+1_i386.deb Size: 20252 SHA256: 80aed052530b742f8713ce2f1acc42fe0d8552afeab7fcc96978650467a0579e SHA1: 37bf9bfe689ab84a4d2dbda5e3330a9da0590c8f MD5sum: ee0ce94eb94c6ca70670e70e24c1d1c1 Description: automatic sorting of the samples (spikes) into clusters KlustaKwik is a program for automatic clustering of continuous data into a mixture of Gaussians. The program was originally developed for sorting of neuronal action potentials, but can be applied to any sort of data. Package: libbiosig-dev Source: biosig4c++ Version: 1.4.1-2~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1370 Depends: neurodebian-popularity-contest, libbiosig1 (= 1.4.1-2~nd80+1+nd90+1) Homepage: http://biosig.sf.net/ Priority: extra Section: libdevel Filename: pool/main/b/biosig4c++/libbiosig-dev_1.4.1-2~nd80+1+nd90+1_i386.deb Size: 311510 SHA256: 8fdd56c655a791274e24bd4813052064ec0ac2611e95bac4fe704e8e2c46c2e3 SHA1: 957d6dbf305977af619e9e33d9f6565e9dbbe78c MD5sum: 722b048d7e43b61cc82476897efc48e3 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 839 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: libs Filename: pool/main/b/biosig4c++/libbiosig1_1.4.1-2~nd80+1+nd90+1_i386.deb Size: 278296 SHA256: e5e6abd117ed38e9f6f0f00622e0c7e3d16dc302c4fc4ac4552eb6702dc78e40 SHA1: 8e81e7ae43f130707a0640f604db54029a81a86f MD5sum: 1f20015f9a598a5c3d71fdc1f25538bd 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 321 Depends: neurodebian-popularity-contest, libbiosig1 (= 1.4.1-2~nd80+1+nd90+1) Homepage: http://biosig.sf.net/ Priority: extra Section: debug Filename: pool/main/b/biosig4c++/libbiosig1-dbg_1.4.1-2~nd80+1+nd90+1_i386.deb Size: 70396 SHA256: fc54273adab034c8332f0e839d32aac829798dc3455789f21d27a7ba260718d9 SHA1: 76a9cbd07d8ecb93c7ce331520d5331a921ee6df MD5sum: 6f87206ffb5c42fb5c2a1d9fe58ac913 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: libcgroup-dev Source: libcgroup Version: 0.37.1-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 68 Depends: neurodebian-popularity-contest, libcgroup1 (= 0.37.1-1~nd70+1+nd90+1) Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: libdevel Filename: pool/main/libc/libcgroup/libcgroup-dev_0.37.1-1~nd70+1+nd90+1_i386.deb Size: 15866 SHA256: cfb84df40f1d720428aca84c98417e37c1c3c72b5c1b4573f3c8d49b2a2bef58 SHA1: 3d58219f6bcadebac2f4ea923a92fb54cbcc8954 MD5sum: f03bd50f2ba56f15f978582d11dbc1b8 Description: Development libraries to develop applications that utilize control groups Control Groups provide a mechanism for aggregating/partitioning sets of tasks, and all their future children, into hierarchical groups with specialized behaviour. . It provides API to create/delete and modify cgroup nodes. It will also in the future allow creation of persistent configuration for control groups and provide scripts to manage that configuration. Package: libcgroup1 Source: libcgroup Version: 0.37.1-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 94 Depends: neurodebian-popularity-contest, libc6 (>= 2.7) Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: libs Filename: pool/main/libc/libcgroup/libcgroup1_0.37.1-1~nd70+1+nd90+1_i386.deb Size: 34840 SHA256: 838c2901088970051a229208bec232cbdfbd7fd98f5c63aa54aef04ed367fba8 SHA1: 0c0bf100ad41784490e0a579a1aa42ba35c9bbd0 MD5sum: caa35433928f7f8b4323badcfcb97b61 Description: Library to control and monitor control groups Control Groups provide a mechanism for aggregating/partitioning sets of tasks, and all their future children, into hierarchical groups with specialized behaviour. . This library allows applications to manipulate, control, administrate and monitor control groups and the associated controllers. Package: libclassad-dev Source: condor Version: 8.2.8~dfsg.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 1180 Depends: neurodebian-popularity-contest, libclassad7 (= 8.2.8~dfsg.1-1~nd80+1+nd90+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_8.2.8~dfsg.1-1~nd80+1+nd90+1_i386.deb Size: 261178 SHA256: 6e29187c9f213453c45b83a4b63488f76da753b825e89845f60b8495a5c0246c SHA1: 296aaca72d9ba6ad873080388ffb21bdbf095c58 MD5sum: 6fe9512f75e766207f1822e6e81aec94 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: 8.2.8~dfsg.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 602 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libpcre3 (>= 1:8.35), libstdc++6 (>= 4.9) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: libs Filename: pool/main/c/condor/libclassad7_8.2.8~dfsg.1-1~nd80+1+nd90+1_i386.deb Size: 205420 SHA256: c1f1290c4ce7dd156d1af7968afb7d259579b3d23b238353e91298dd096359d9 SHA1: b9623b621173b7ceef7af6fb4e0898782f88d383 MD5sum: 1a49bfc21e6a65340637a86bc9ca7f68 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 264 Depends: neurodebian-popularity-contest, libc6 (>= 2.8), libgcc1 (>= 1:4.1.1), libgomp1 (>= 4.2.1), 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~nd80+1+nd90+1_i386.deb Size: 84302 SHA256: 85494799b87bfa25c326406217297c96d0029cfb71b02d53f7c9183f83165bbf SHA1: 5719fdcae7a7e6e84dcf9299014ac8d3d8d2cd3d MD5sum: e7baa41da7af7f9f1567794a098cc304 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 136 Depends: neurodebian-popularity-contest, libcnrun2 (= 2.0.1-1~nd80+1+nd90+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~nd80+1+nd90+1_i386.deb Size: 24728 SHA256: 58569b6d2dd6486d0df413cdaf7ef4fd0811a7bc2cf7e69aa734fffc97256bed SHA1: 37921c4fc06e946e3b7faf269c33da0a57ecf8e1 MD5sum: 0b3981c6111fc8fb1ade77c17b813e24 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: libdouble-conversion-dbg Source: double-conversion Version: 2.0.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 110 Depends: neurodebian-popularity-contest, libdouble-conversion1 (= 2.0.1-1~nd80+1+nd90+1) Multi-Arch: same Homepage: http://double-conversion.googlecode.com Priority: extra Section: debug Filename: pool/main/d/double-conversion/libdouble-conversion-dbg_2.0.1-1~nd80+1+nd90+1_i386.deb Size: 87854 SHA256: a7e3936206b8a670cc7f05c868593215d82277b806263aad7bb89706286cab30 SHA1: 30ce4f19b1b651a441849376130525190248fab4 MD5sum: 8d343a60fff16438acde0e065cb9cb95 Description: routines to convert IEEE floats to and from strings (debugging symbols) This library provides routines to convert IEEE single and double floats to and from string representations. It offers at lot of flexibility with respect to the conversion format: shortest, fixed, precision or exponential representation; decimal, octal or hexadecimal basis; control over number of digits, leading/trailing zeros and spaces. . The library consists of efficient conversion routines that have been extracted from the V8 JavaScript engine. The code has been refactored and improved so that it can be used more easily in other projects. . This package contains the detached debugging symbols of the library. Package: libdouble-conversion-dev Source: double-conversion Version: 2.0.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 199 Depends: neurodebian-popularity-contest, libdouble-conversion1 (= 2.0.1-1~nd80+1+nd90+1) Homepage: http://double-conversion.googlecode.com Priority: extra Section: libdevel Filename: pool/main/d/double-conversion/libdouble-conversion-dev_2.0.1-1~nd80+1+nd90+1_i386.deb Size: 51836 SHA256: 3a7a29b23cb131425f5cfc2206f45f629acda0cba462ebe345e373c067b4672a SHA1: 0c75ec10dad644a581b09c139be9bbeb96229b9e MD5sum: ea2b9899c62e8657edc35b54d6b413dd Description: routines to convert IEEE floats to and from strings (development files) This library provides routines to convert IEEE single and double floats to and from string representations. It offers at lot of flexibility with respect to the conversion format: shortest, fixed, precision or exponential representation; decimal, octal or hexadecimal basis; control over number of digits, leading/trailing zeros and spaces. . The library consists of efficient conversion routines that have been extracted from the V8 JavaScript engine. The code has been refactored and improved so that it can be used more easily in other projects. . This package contains a static version of the library and development headers. Package: libdouble-conversion1 Source: double-conversion Version: 2.0.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 99 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Multi-Arch: same Homepage: http://double-conversion.googlecode.com Priority: extra Section: libs Filename: pool/main/d/double-conversion/libdouble-conversion1_2.0.1-1~nd80+1+nd90+1_i386.deb Size: 36344 SHA256: 675471095a7bcfca5f67c9b062520abbc948a66685f19a00d0258107785e3c43 SHA1: eed5e221738a9e76b95e8fbd516b41551e45849d MD5sum: 6c9d5db2419a252ea4b5050c331f2ca4 Description: routines to convert IEEE floats to and from strings This library provides routines to convert IEEE single and double floats to and from string representations. It offers at lot of flexibility with respect to the conversion format: shortest, fixed, precision or exponential representation; decimal, octal or hexadecimal basis; control over number of digits, leading/trailing zeros and spaces. . The library consists of efficient conversion routines that have been extracted from the V8 JavaScript engine. The code has been refactored and improved so that it can be used more easily in other projects. . This package contains a shared version of the library. Package: libedac-dev Source: edac-utils Version: 0.18-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 43 Depends: neurodebian-popularity-contest, libedac1 (= 0.18-1~nd70+1+nd90+1) Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: libdevel Filename: pool/main/e/edac-utils/libedac-dev_0.18-1~nd70+1+nd90+1_i386.deb Size: 17534 SHA256: df9eab6a58cd662724116abb79f67c5f7a51026ed4d3f46b5f38c27a9c5dcf74 SHA1: e740f10323e8fab1080c72f40f8c8a8572d8a413 MD5sum: c397dc5519f28d8ea04663362d4b1c6c Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package contains development files for the library Package: libedac1 Source: edac-utils Version: 0.18-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 38 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libsysfs2 Provides: libedac Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: libs Filename: pool/main/e/edac-utils/libedac1_0.18-1~nd70+1+nd90+1_i386.deb Size: 13852 SHA256: 07b8959a33f2e81c361401a3a4d0dca855720a5105eca47bb0d090a805f7d4e0 SHA1: fbfd26fb58710737a574e3eee35a5524d1088943 MD5sum: 154a4a2fb9a01334608ea5e7f2d94cb3 Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package includes shared library Package: libedac1-dbg Source: edac-utils Version: 0.18-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 73 Depends: neurodebian-popularity-contest, libedac1 (= 0.18-1~nd70+1+nd90+1) Provides: libedac Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: debug Filename: pool/main/e/edac-utils/libedac1-dbg_0.18-1~nd70+1+nd90+1_i386.deb Size: 27600 SHA256: 78a20814f5d674672a6511088386c6b1116d0664dc10ec0a78bfebba00a181a7 SHA1: 1cc4343c5e2ca425b1c4a5e9f993bb2535e48d35 MD5sum: 4aca134dcc006d8b0b3956788117e717 Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package includes shared library with debugging symbols not stripped Package: libfreeipmi-dev Source: freeipmi Version: 1.4.9-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6549 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+1), libfreeipmi16 (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libfreeipmi-dev_1.4.9-1~nd90+1_i386.deb Size: 897468 SHA256: 1349f90f5863ca391a65dd4aec7684984fde9fd0f56265e114cf86b42fb5d7ce SHA1: 5ca0b83d426cc5c03561af28b84d959819a17034 MD5sum: 86b629748b7488ccda247aed74783092 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4255 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcrypt20 (>= 1.6.1), freeipmi-common (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libfreeipmi16_1.4.9-1~nd90+1_i386.deb Size: 747244 SHA256: c9ca935b803185aa42169309ed89b6f168e987962a0192140ab070f3580ef5f3 SHA1: 660944984bb4dc440f31419f3a9ba94722c6d3b5 MD5sum: e987e3e3b59c5f3e02f8373f588d88c5 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~nd90+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~nd90+1_i386.deb Size: 54396 SHA256: 96dae28a0872aba058c256785190b5c22db36447fe727f861b5b2ee2a8e3b99d SHA1: a68f477f1cbf53229f2de5a66c1974b6d689ff5f MD5sum: 6c1c2569ce82fed63918423e70f7b5df 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~nd90+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~nd90+1_i386.deb Size: 8532 SHA256: ca65e2be37c4be9f2b7f5e046bdfdc4d1b5c0bd599715039cff41bcb07cff89f SHA1: cb99c5098acdcb17761247348d25995ad0e054de MD5sum: 5669f1e630a9e4e20c44da4f2778efb8 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 62 Depends: neurodebian-popularity-contest, libfreenect0.5 (= 1:0.5.2+git6-g5455843+dfsg-1~nd90+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~nd90+1_i386.deb Size: 19278 SHA256: 45569252b5a9b6ae124069a11236c02d642525c8f5ab7bcaac51e5c80ebbbbe8 SHA1: d6eaaa5a93a27d634d82485d206022e88bc411ab MD5sum: 1f0fad124bf1602eb9f659ca929f186f 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~nd90+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~nd90+1_all.deb Size: 90116 SHA256: 7b1f3f8718bae55e7d612ff46474321e316a7b6c3995e61c2d1f9bd3206f34f8 SHA1: 2dabe10f4ec42810d36c3f92740c078eae537399 MD5sum: fb51b5583055b3c4a2f2eb4facd36aab 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: libfreenect0.5 Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd90+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~nd90+1_i386.deb Size: 45106 SHA256: b5ac571a07abe7a4770b4e2999614bc0fa22a3331fe422ce8dd0fcc13b2afd19 SHA1: 884e0e2d43fb64ff6b22495c9a49b9ebcb15bdcf MD5sum: d2cd38f46c9b0c30fd4ff05d9bb837d9 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: libgdf-dev Source: libgdf Version: 0.1.2-2~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 115 Depends: neurodebian-popularity-contest, libgdf0 (= 0.1.2-2~nd70+1+nd90+1) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: libdevel Filename: pool/main/libg/libgdf/libgdf-dev_0.1.2-2~nd70+1+nd90+1_i386.deb Size: 17378 SHA256: 0cb775a533ab4e4f87ea3469832278e737ba83b847a75b8983c5428a5e9fde3c SHA1: c7db476edd3328bafc3724bb768c3a9416c3c582 MD5sum: e9a25faf4520342d4a36d72b6b74cbf6 Description: IO library for the GDF -- development library GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides the header files and static library. Package: libgdf0 Source: libgdf Version: 0.1.2-2~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 724 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.6) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: libs Filename: pool/main/libg/libgdf/libgdf0_0.1.2-2~nd70+1+nd90+1_i386.deb Size: 154652 SHA256: 9009157b1cd7f8146f39778fc655cfded05dfa2ad89cbc8889e97cb3e1595e8f SHA1: c1549671c14369794372abc8a0a47906abc99a23 MD5sum: aa236e8a56e97993524c7f40a4100127 Description: IO library for the GDF (general dataformat for biosignals) GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package contains the shared library. Package: libgdf0-dbg Source: libgdf Version: 0.1.2-2~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2587 Depends: neurodebian-popularity-contest, libgdf0 (= 0.1.2-2~nd70+1+nd90+1) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: debug Filename: pool/main/libg/libgdf/libgdf0-dbg_0.1.2-2~nd70+1+nd90+1_i386.deb Size: 528646 SHA256: 22f774b386b9270653dc40b10f146b00136b15bff56f0b138a9ea0f669c23634 SHA1: 03b44e3c1b877e8020b79a8ccea87ec864e122c8 MD5sum: 105953583a0d825ae9ed6dfc552bf12a Description: IO library for the GDF -- debug symbols GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides debug symbols. Package: libglew1.9 Source: glew Version: 1.9.0-3~bnd1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 617 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgl1-mesa-glx | libgl1, libx11-6, libxext6, libxi6, libxmu6 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~nd70+1+nd90+1_i386.deb Size: 128954 SHA256: 1ee078b1013bffa7102f11c24f89f1a992bbee26b934eff563d134e60253607d SHA1: 389f1e90777492d19272ba66c5e54b4045b80959 MD5sum: ebb31cc2d5adeded12098b291799ffa6 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 138 Depends: neurodebian-popularity-contest, libglew1.9 (= 1.9.0-3~bnd1~nd70+1+nd90+1) Homepage: http://glew.sourceforge.net Priority: extra Section: debug Filename: pool/main/g/glew/libglew1.9-dbg_1.9.0-3~bnd1~nd70+1+nd90+1_i386.deb Size: 33282 SHA256: a37623896ba85bc91bd133ac6772d43e7085d9429f4228d74f2f209ba18e44d5 SHA1: bbd438f98a1f16907e1eaf39f344102917219b3c MD5sum: 168e7112f5aeb98d318ae0824de99928 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1014 Depends: neurodebian-popularity-contest, libgl1-mesa-dev | libgl-dev, libglew1.9 (= 1.9.0-3~bnd1~nd70+1+nd90+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~nd70+1+nd90+1_i386.deb Size: 109574 SHA256: 3b93231d040c46bc38503740951e3405f459a0d039c99dd7fb32546812f5ea44 SHA1: a553759b6b46c6c54d5f05c27faad01289f7c0c7 MD5sum: 662f197e0714ef3e3c2e44b23ebd1dfe 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 562 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgl1-mesa-glx | libgl1, libx11-6, libxext6, libxi6, libxmu6 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~nd70+1+nd90+1_i386.deb Size: 116996 SHA256: 424c12568f801dab5b75fb2623f4528591203718c0b2c4ae564f9b8a58b09f4d SHA1: 5a0b6cfa4cf42b02d9b436e6ef55bbbf919a5ea9 MD5sum: b7ad2dd1e7bd090d4f2e23f2e756becf 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 115 Depends: neurodebian-popularity-contest, libglewmx1.9 (= 1.9.0-3~bnd1~nd70+1+nd90+1) Homepage: http://glew.sourceforge.net Priority: extra Section: debug Filename: pool/main/g/glew/libglewmx1.9-dbg_1.9.0-3~bnd1~nd70+1+nd90+1_i386.deb Size: 26918 SHA256: a63610db0b7a2099c3887b05903c9deb1d63a7bffecfff1e3fb007d0e7d13c72 SHA1: 7d60708dda0f8371f3eee175fb0768b88cfb60b1 MD5sum: d2f9a77cd4b9a4263c4be90c8b2b658a 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: neurodebian-popularity-contest, libglew1.9-dev, libglewmx1.9 (= 1.9.0-3~bnd1~nd70+1+nd90+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~nd70+1+nd90+1_i386.deb Size: 8490 SHA256: 24e26746c1d12fcb6e09ae5e593dacd7f2ed075bedb7e466a201179668a4f536 SHA1: f4989a3b83880b660a664b7871a21ef71431984b MD5sum: b2c04ba0cafed435d87b0bc0c708017a 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: libguac-client-rdp0 Source: guacamole-server Version: 0.8.3-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 110 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libcairo2 (>= 1.6.0), libfreerdp-cache1.1 (>= 1.1.0~beta1+git20130629), libfreerdp-client1.1 (>= 1.1.0~beta1+git20130629), libfreerdp-codec1.1 (>= 1.1.0~beta1+git20130629), libfreerdp-core1.1 (>= 1.1.0~beta1+git20130629), libfreerdp-utils1.1 (>= 1.1.0~beta1+git20130629), libguac5, libogg0 (>= 1.0rc3), libvorbis0a (>= 1.1.2), libvorbisenc2 (>= 1.1.2), ghostscript Recommends: libfreerdp-plugins-standard Multi-Arch: same Homepage: http://guac-dev.org/ Priority: extra Section: libs Filename: pool/main/g/guacamole-server/libguac-client-rdp0_0.8.3-1~nd80+1+nd90+1_i386.deb Size: 29848 SHA256: 7bfb3ab751b1c386cfa60c115517689c3e84f2941bad7ab13e7160fcd3f2df7f SHA1: 60b1448276c321681ab26c398ce2cda4b1d7e8d8 MD5sum: bec4eb040cd0647dba7a4adfb4edbed5 Description: RDP support plugin for Guacamole A plugin for the Guacamole proxy daemon (guacd) that provides support for the RDP protocol (Windows Remote Desktop). Package: libguac-client-ssh0 Source: guacamole-server Version: 0.8.3-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 73 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libcairo2 (>= 1.2.4), libglib2.0-0 (>= 2.12.0), libguac5, libpango-1.0-0 (>= 1.22.0), libpangocairo-1.0-0 (>= 1.14.0), libssh-4 (>= 0.3.91) Multi-Arch: same Homepage: http://guac-dev.org/ Priority: extra Section: libs Filename: pool/main/g/guacamole-server/libguac-client-ssh0_0.8.3-1~nd80+1+nd90+1_i386.deb Size: 23626 SHA256: ed02cc5bc4d1fc80e94ca29f0c3030132e8e5ba1e0aa30c6733219c1adc66a4a SHA1: 12bc557da7c21af3953f1ae11f86a532f1d08ebf MD5sum: 7bf0c3dd451007e188502ca533d5f10b Description: SSH support plugin for Guacamole A plugin for the Guacamole proxy daemon (guacd) that provides support for the SSH protocol. Package: libguac-client-vnc0 Source: guacamole-server Version: 0.8.3-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 44 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libcairo2 (>= 1.6.0), libguac5, libpulse0 (>= 0.99.1), libvncclient1 (>= 0.9.10) Recommends: vnc4server Multi-Arch: same Homepage: http://guac-dev.org/ Priority: extra Section: libs Filename: pool/main/g/guacamole-server/libguac-client-vnc0_0.8.3-1~nd80+1+nd90+1_i386.deb Size: 11364 SHA256: 5df611dfc50fcf814765cfda62dbe36d18596897a2c30ffe7d4db18c95873550 SHA1: 70bea96e9572d20f5ac8164d053a932c9e444592 MD5sum: 09243660b09684a7884daffca53ce3ee Description: VNC support plugin for Guacamole A plugin for the Guacamole proxy daemon (guacd) that provides support for the VNC protocol. Package: libguac-dev Source: guacamole-server Version: 0.8.3-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 213 Depends: neurodebian-popularity-contest, libguac5 (= 0.8.3-1~nd80+1+nd90+1) Replaces: libguac1-dev Multi-Arch: same Homepage: http://guac-dev.org/ Priority: extra Section: libdevel Filename: pool/main/g/guacamole-server/libguac-dev_0.8.3-1~nd80+1+nd90+1_i386.deb Size: 36952 SHA256: d2f2c9ea38570c64b29d366af113e41054de4fd9e952e0ba031a83dcd51a9310 SHA1: d0d7594d7b2bcbb51253bc692f13ef755415ccb3 MD5sum: a9878bc5d3b144fe8c84f4ff0da1a399 Description: Development headers for the core Guacamole library The development headers for the core Guacamole library used by guacd and all client plugins. This package is required for development of new client plugins, or for building existing plugins and guacd. Package: libguac3 Source: libguac Version: 0.6.0-2~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 56 Depends: neurodebian-popularity-contest, libc6 (>= 2.17), libcairo2 (>= 1.2.4), libpng12-0 (>= 1.2.13-4) Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: libs Filename: pool/main/libg/libguac/libguac3_0.6.0-2~nd70+1+nd90+1_i386.deb Size: 16316 SHA256: 9e88f21038f6e34c67ba2ae25bb5929744590e0098f95d8f642ade8c03933191 SHA1: 3727ef995da6bfa644f872c6c57caaaf81e897a5 MD5sum: 69817896e64ebd8dd930d8383ea9433e Description: Core Guacamole library used by guacd and client plugins The core Guacamole library which both guacd and client plugins depend on to provide low-level I/O and protocol support. Package: libguac5 Source: guacamole-server Version: 0.8.3-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 80 Depends: neurodebian-popularity-contest, libc6 (>= 2.17), libcairo2 (>= 1.2.4), libogg0 (>= 1.0rc3), libpng12-0 (>= 1.2.13-4), libvorbis0a (>= 1.1.2), libvorbisenc2 (>= 1.1.2) Multi-Arch: same Homepage: http://guac-dev.org/ Priority: extra Section: libs Filename: pool/main/g/guacamole-server/libguac5_0.8.3-1~nd80+1+nd90+1_i386.deb Size: 23050 SHA256: 87ae2fd300d108bbd611dbb232a57e2a5de7c13b7839cdaa3a130a661ac8a5e6 SHA1: 434488d27d2c9d5de1c9d0a982966bded7bb8ca9 MD5sum: 5624cd7ce69501a6f42f06fc3b83a6f8 Description: Core Guacamole library used by guacd and client plugins The core Guacamole library which both guacd and client plugins depend on to provide low-level I/O and protocol support. Package: libipmiconsole-dev Source: freeipmi Version: 1.4.9-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 449 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+1), libipmiconsole2 (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmiconsole-dev_1.4.9-1~nd90+1_i386.deb Size: 105778 SHA256: 5424d7b730c344d852b952de5e3596641bb7aa924beeac02e3d22a8fa5263e34 SHA1: 2d276de50c58494fef5befab0d958994ec92497d MD5sum: 3862551f214680053dbfdf4ad81e6da4 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 317 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libfreeipmi16 (>= 1.4.4), libgcrypt20 (>= 1.6.0), freeipmi-common (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmiconsole2_1.4.9-1~nd90+1_i386.deb Size: 88094 SHA256: 7df858c77204818170fc8ab407faa8e9f36299b1f4045968eeaf77a3310f2b34 SHA1: ef7170d89afe936dacb2292651626036451995f9 MD5sum: a588e0f7f02212c23d409194ac1d1cdd 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 111 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+1), libipmidetect0 (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmidetect-dev_1.4.9-1~nd90+1_i386.deb Size: 33420 SHA256: af9659ea9e83bf2529418c837da2ba6e725c42c877db9785fe50f9bcb713959b SHA1: 385c17c4fe581520e78fd4bd7e51fcdbe70686ec MD5sum: af096f5d74fab9a7153960bbb6b8cf25 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 78 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), freeipmi-common (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmidetect0_1.4.9-1~nd90+1_i386.deb Size: 27280 SHA256: a51c55d12b986bd17d39db7eac621e52cf8f917d8a437724b5d351776cb0cf0e SHA1: a8e31495a1b24d762c7d664e3c0fa8dea0b68162 MD5sum: 40ab2167a9df17b21a66ddee5d333407 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 298 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+1), libipmimonitoring5a (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmimonitoring-dev_1.4.9-1~nd90+1_i386.deb Size: 63650 SHA256: 861311bfa9b0ae0e81596e6798cd1232477fea85b3a247464088d70ec777b08f SHA1: 5b00a8a5cc92426e9dca53b7ed0df2ab8d5c48d2 MD5sum: 8a3f243220207bbcac93f57b77e977fa 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 149 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfreeipmi16 (>= 1.4.4), libgcrypt20 (>= 1.6.0), freeipmi-common (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmimonitoring5a_1.4.9-1~nd90+1_i386.deb Size: 45556 SHA256: cc221fd2fa75381589d3b0b1319f277b1f367eb27f63e502726cd62f2c7412a1 SHA1: 6025879aca3c80d6c45334e9c3d54e9a0d873d69 MD5sum: c7e3a4d14d4df7826c036a4132d61e57 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 21688 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 (>= 2.44.0), libgsl0ldbl (>= 1.9), libgts-0.7-5 (>= 0.7.6), libitpp8, libjpeg62-turbo (>= 1.3.1), 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 (>= 2.38.0) Homepage: http://mia.sourceforge.net Priority: optional Section: libs Filename: pool/main/m/mia/libmia-2.0-8_2.0.13-1~nd80+1+nd90+1_i386.deb Size: 3422232 SHA256: 58c25bb5c66805a02e48420780dc53254fe651c4781cff9426820ef716ce3bcb SHA1: 1e809dc9fe576ca12ebd818955b212bfff76c9bd MD5sum: eb48b6146d4a0819cfe06f730eb17b21 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 61218 Depends: neurodebian-popularity-contest, libmia-2.0-8 (= 2.0.13-1~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/m/mia/libmia-2.0-8-dbg_2.0.13-1~nd80+1+nd90+1_i386.deb Size: 56512366 SHA256: e6ddf09f3fa9e3cec69327edec433d8510ae09cabeeabe7a5baa9a1ebeaff074 SHA1: 8b6bf5824f026b0ee56a63ff7f8a7ca117cb1eae MD5sum: 626694db18a9827d31b110579b6439fe 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1254 Depends: neurodebian-popularity-contest, libmia-2.0-8 (= 2.0.13-1~nd80+1+nd90+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~nd80+1+nd90+1_i386.deb Size: 177524 SHA256: 407189fa90609b68bdd27775e75aa6ad1e1b26ae4105ae264a9b5c7319d4d705 SHA1: b889039861c8ee63370fd362834ed49727dc6845 MD5sum: a8e3ad996bf7c78b0cc11b93249d562c 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16445 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~nd80+1+nd90+1_all.deb Size: 1145474 SHA256: 22353c91f476fe6f63f1a34963bd303a1bd030f369a334dc9ad85e91cd14fcb4 SHA1: 207ee6bcc687e9307274cf8def76f6d865690575 MD5sum: 27dbf2673981e05d840fd884459a2f2b 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: libmialm-dev Source: libmialm Version: 1.0.7-2~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 279 Depends: neurodebian-popularity-contest, libmialm3 (= 1.0.7-2~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/libm/libmialm/libmialm-dev_1.0.7-2~nd80+1+nd90+1_i386.deb Size: 68532 SHA256: b8e5ed45d0dea8659dcdb3ebafcaef202d56b49ff79198896af60bbb92352c8d SHA1: c238cafb099008a1dac99bcbd51f79b80b9ddcb6 MD5sum: 880df25cabbc3b1943b2366cbf18f66e Description: Development files for the MIA landmark library This library implements handling for landmarks and 3D view positioning for optimal landmark visibility, and in-and output of these landmarks. This library is part of the MIA tool chain for medical image analysis. This package contains the development files - headers, shared libraries, and pkg-config files. Package: libmialm-doc Source: libmialm Version: 1.0.7-2~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 249 Depends: neurodebian-popularity-contest Suggests: devhelp Homepage: http://mia.sourceforge.net Priority: optional Section: doc Filename: pool/main/libm/libmialm/libmialm-doc_1.0.7-2~nd80+1+nd90+1_all.deb Size: 21262 SHA256: b818b86b8b03b2de2d9028afb4a6fcefc7efac47e9922d583ca24642e136f7ba SHA1: 4068ababf8509c40454974d12b1f613f93cc5a6f MD5sum: 20aa66e7a83a9b83d8626eabb1a0ca36 Description: Documentation for the MIA landmark library This library implements handling for landmarks and 3D view positioning for optimal landmark visibility, and in-and output of these landmarks. This library is part of the MIA tool chain for medical image analysis. This package contains the library documentation. Package: libmialm3 Source: libmialm Version: 1.0.7-2~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 71 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libglib2.0-0 (>= 2.41.1), libxml2 (>= 2.7.4) Homepage: http://mia.sourceforge.net Priority: optional Section: libs Filename: pool/main/libm/libmialm/libmialm3_1.0.7-2~nd80+1+nd90+1_i386.deb Size: 19126 SHA256: 8252e90d48d5b03748e74e504acf9608fd0585cb9c9b206d893cbfd2cf35e383 SHA1: 675bbabba180f180bdb67c8fd291da7281646b2c MD5sum: 33439825525edd5304a857d072de733c Description: Landmark handling for the MIA tool chain This library implements handling for landmarks and 3D view positioning for optimal landmark visibility, and in-and output of these landmarks. This library is part of the MIA tool chain for medical image analysis. Package: libmialm3-dbg Source: libmialm Version: 1.0.7-2~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 70 Depends: neurodebian-popularity-contest, libmialm3 (= 1.0.7-2~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/libm/libmialm/libmialm3-dbg_1.0.7-2~nd80+1+nd90+1_i386.deb Size: 49104 SHA256: 2944de5bd1163e5e4876fac2383b19a0494f8608fbf003d6848a71b798f331a5 SHA1: 50be04964685d0fe7453131aea907e61b8f30677 MD5sum: 61ec02cc2ae8798aba48315a9a1cc574 Description: Debug information for the MIA landmark library This library implements handling for landmarks and 3D view positioning for optimal landmark visibility, and in-and output of these landmarks. This library is part of the MIA tool chain for medical image analysis. This package provides the debug information of the library. Package: libnifti-dev Source: nifticlib Version: 2.0.0-2~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 439 Depends: neurodebian-popularity-contest, libnifti2 (= 2.0.0-2~nd80+1+nd90+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~nd80+1+nd90+1_i386.deb Size: 133426 SHA256: 3cf3f60a7b19d4cefe200f3cffe2abb4876a3a251383b306c11dd0095989ba6b SHA1: 917f7eb30a5a5e9e4575a926616ad1eff6441750 MD5sum: 232e2b19482307e0eb09bb62a81ce61a 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1705 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~nd80+1+nd90+1_all.deb Size: 137744 SHA256: f5f624f2a3073c1676ff234d94abc713ce4c73e4a17989868035bc67d1e4d9e9 SHA1: defc10d95d0f843756f9402e05ba12d41e1546c0 MD5sum: 4dbe6f75c01b260f4534930c082b2774 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 286 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~nd80+1+nd90+1_i386.deb Size: 101716 SHA256: 12f2ab57c0f93775b81e7c94a6345bc17c0fea3bde15517a78a6ae0da04cb903 SHA1: f02347a63f9b18b709608bfd5ae58fefa310126f MD5sum: a7d630746f99345e4a1059bbc0defeaa 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: libnlopt-dev Source: nlopt Version: 2.4.1+dfsg-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 557 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd80+1+nd90+1) Homepage: http://ab-initio.mit.edu/wiki/index.php/NLopt Priority: optional Section: libdevel Filename: pool/main/n/nlopt/libnlopt-dev_2.4.1+dfsg-1~nd80+1+nd90+1_i386.deb Size: 169566 SHA256: 8effb2ff2bba012509302f23240563544016b352d1350ef1348cf5036c5631d9 SHA1: 3be259f44473718f9b7398ad2fab69953b2d9e32 MD5sum: 397b56cb5484883f851dc651b108b1f6 Description: nonlinear optimization library -- development package NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: . * Callable from C, C++, Fortran, GNU Octave, Python, GNU Guile, GNU R. * A common interface for many different algorithms * Support for large-scale optimization. * Both global and local optimization algorithms. * Algorithms using function values only (derivative-free) and also algorithms exploiting user-supplied gradients. * Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. . This package contains the header files, static libraries and symbolic links that developers using NLopt library will need. Package: libnlopt-guile0 Source: nlopt Version: 2.4.1+dfsg-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 149 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd80+1+nd90+1), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), guile-1.8 Multi-Arch: same Homepage: http://ab-initio.mit.edu/wiki/index.php/NLopt Priority: optional Section: libs Filename: pool/main/n/nlopt/libnlopt-guile0_2.4.1+dfsg-1~nd80+1+nd90+1_i386.deb Size: 36562 SHA256: a0ad667283775bf28f74a064a2d86b742ad79fcaea431715ef81247286b2d5a0 SHA1: 1140b314fec0ef50f7c9f7592bfeb283c5677ac5 MD5sum: 370935a703266004b902c62ad3fb399b Description: nonlinear optimization library -- Guile bindings NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: . * Callable from C, C++, Fortran, GNU Octave, Python, GNU Guile, GNU R. * A common interface for many different algorithms * Support for large-scale optimization. * Both global and local optimization algorithms. * Algorithms using function values only (derivative-free) and also algorithms exploiting user-supplied gradients. * Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. . This package contains the bindings for GNU Guile. Package: libnlopt0 Source: nlopt Version: 2.4.1+dfsg-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 444 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Multi-Arch: same Homepage: http://ab-initio.mit.edu/wiki/index.php/NLopt Priority: optional Section: libs Filename: pool/main/n/nlopt/libnlopt0_2.4.1+dfsg-1~nd80+1+nd90+1_i386.deb Size: 159878 SHA256: a20e51f95186bc3d08d740f46a60d75c922a8bad12b5f81c9a5e8a5aee27810c SHA1: b2171371ce99ab2aaf824184b358ab2ff6610569 MD5sum: 21c39614da625976ebfc38e08a0e5dc9 Description: nonlinear optimization library NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: . * Callable from C, C++, Fortran, GNU Octave, Python, GNU Guile, GNU R. * A common interface for many different algorithms * Support for large-scale optimization. * Both global and local optimization algorithms. * Algorithms using function values only (derivative-free) and also algorithms exploiting user-supplied gradients. * Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. . This package provides the shared libraries required to run programs compiled with NLopt. To compile your own programs you also need to install libnlopt-dev. Package: libodin-dev Source: odin Version: 1.8.8-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 19201 Depends: neurodebian-popularity-contest Homepage: http://od1n.sourceforge.net Priority: extra Section: libdevel Filename: pool/main/o/odin/libodin-dev_1.8.8-1~nd80+1+nd90+1_i386.deb Size: 2664348 SHA256: 11bf18bdab00327ca0cc54221f5d4507e7e3c7e841883f1c7bc9f7affa4c4c54 SHA1: 4e42292067cfa7ee8d6c1f3debed00e03d9b7722 MD5sum: f1034c458982a6352b4b21297ebe20d6 Description: static libraries and header for ODIN sequences This package provides static libraries and headers of the ODIN libraries odindata, adinpara, odinqt, odinseq and tjutils. They are required for building magnetic resonance imaging (MRI) sequences with ODIN. Package: libopenwalnut1 Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6707 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, libopenscenegraph100, libopenthreads20, 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~nd80+1+nd90+1_i386.deb Size: 1331666 SHA256: a94344ae55f100aadeea5e88910bdb5aca3360b41a2bfe0c93c7acc6e3940a5a SHA1: 3a489ae0bd8e7ac9fb5f8fd0effbf2b4e33304d0 MD5sum: f3d3724065e267a54b90f41f4b4c58bf 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2144 Depends: neurodebian-popularity-contest, libopenwalnut1 (= 1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+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~nd80+1+nd90+1_i386.deb Size: 248380 SHA256: 837d9ce0cce9ae9850dcc0916e49b3e38113e25f1157c9164ca7c34b0b947ff7 SHA1: db03418fa88d9c39fd6d9681b7126b12d52aa32d MD5sum: 33c450b5048e22d9beeb75af4e11b058 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 49240 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~nd80+1+nd90+1_all.deb Size: 2681858 SHA256: c83b9176f3ff3cfa9e83ee97caabd28ecede43bf5ffa8dbfe9ce9b72977bcf9e SHA1: 2bc64d4f70f52d587d898216e09ae1457a527dc1 MD5sum: b2239dfc83b9656f9ba915d4fcf8284e 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: libpam-cgroup Source: libcgroup Version: 0.37.1-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 21 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libcgroup1, libpam0g (>= 0.99.7.1) Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: admin Filename: pool/main/libc/libcgroup/libpam-cgroup_0.37.1-1~nd70+1+nd90+1_i386.deb Size: 7284 SHA256: 0d10d5f1700e73f7be633b1ff3890c6824b97f49da40528e23078dca5896f33e SHA1: 2468547adc6b233bdcf0975bcdd18cf96f2c584e MD5sum: 44e4aead93c2b225546c8fe46810d86c Description: PAM module to move a user session into a cgroup Control Groups provide a mechanism for aggregating/partitioning sets of tasks, and all their future children, into hierarchical groups with specialized behaviour. . This PAM module will move a user session into an existing cgroup by attempting to match uid and gid against the defined cgroup rules configuration. Package: librtfilter-dev Source: rtfilter Version: 1.1-4~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 41 Depends: neurodebian-popularity-contest, librtfilter1 (= 1.1-4~nd70+1+nd90+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: libdevel Filename: pool/main/r/rtfilter/librtfilter-dev_1.1-4~nd70+1+nd90+1_i386.deb Size: 12066 SHA256: c49392e07735b4b7a09f4488496cd7145bbe11c2d561560b0022bfbe333a0b3b SHA1: 4ea2cd6cb5e581661d12ff18dec748372d2e08e0 MD5sum: 3679e8b8675b808ba814cd27b8de442c Description: realtime digital filtering library (development files) rtfilter is a library that provides a set of routines implementing realtime digital filter for multichannel signals (i.e. filtering multiple signals with the same filter parameters). It implements FIR, IIR filters and downsampler for float and double data type (both for real and complex valued signal). Additional functions are also provided to design few usual filters: Butterworth, Chebyshev, windowed sinc, analytical filter... . One of the main differences from other libraries providing digital signal processing is that the filter functions have been specifically designed and optimized for multichannel signals (from few channels to several hundred). . This package contains the files needed to compile and link programs which use rtfilter. Package: librtfilter1 Source: rtfilter Version: 1.1-4~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 66 Depends: neurodebian-popularity-contest, libc6 (>= 2.2) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: libs Filename: pool/main/r/rtfilter/librtfilter1_1.1-4~nd70+1+nd90+1_i386.deb Size: 26804 SHA256: 411707984f77d69ec7c0f078885947d2b6e2acd18f9a2a3f4f2ca5db38e59ee1 SHA1: 66a8e3144d3d21a61a7669f00c0df0dbdf437dd6 MD5sum: c85014599c8283dfd3958767acc2ff41 Description: realtime digital filtering library rtfilter is a library that provides a set of routines implementing realtime digital filter for multichannel signals (i.e. filtering multiple signals with the same filter parameters). It implements FIR, IIR filters and downsampler for float and double data type (both for real and complex valued signal). Additional functions are also provided to design few usual filters: Butterworth, Chebyshev, windowed sinc, analytical filter... . One of the main differences from other libraries providing digital signal processing is that the filter functions have been specifically designed and optimized for multichannel signals (from few channels to several hundred). Package: librtfilter1-dbg Source: rtfilter Version: 1.1-4~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 45 Depends: neurodebian-popularity-contest, librtfilter1 (= 1.1-4~nd70+1+nd90+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: debug Filename: pool/main/r/rtfilter/librtfilter1-dbg_1.1-4~nd70+1+nd90+1_i386.deb Size: 32054 SHA256: 4305a3ffd0efe631c71cc79c37a9935b65a7433f8e0a9bae4d683625d5ee795b SHA1: fd5abd1711059187a2f7bb2211b3582bad2ca95a MD5sum: e4ee6ec2ce4e39db8fdc7772df2c2867 Description: realtime digital filtering library (debugging symbols) rtfilter is a library that provides a set of routines implementing realtime digital filter for multichannel signals (i.e. filtering multiple signals with the same filter parameters). It implements FIR, IIR filters and downsampler for float and double data type (both for real and complex valued signal). Additional functions are also provided to design few usual filters: Butterworth, Chebyshev, windowed sinc, analytical filter... . One of the main differences from other libraries providing digital signal processing is that the filter functions have been specifically designed and optimized for multichannel signals (from few channels to several hundred). . This package provides the debugging symbols of the library. Package: libvistaio-dev Source: libvistaio Version: 1.2.16-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 218 Depends: neurodebian-popularity-contest, libvistaio14 (= 1.2.16-1~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/libv/libvistaio/libvistaio-dev_1.2.16-1~nd80+1+nd90+1_i386.deb Size: 108314 SHA256: 697a730812079944edf47d67a273447d427605dd478d10463ecc4f85adf04f90 SHA1: d64e8874704c4282126b7b0731a8bc6ee7e1bbf0 MD5sum: b91a7d6c33bcc65a8a24eea13210982a Description: Development files for the libvistaio library Vistaio is a library that handles loading and storing of data in a cross-platform manner. Its virtue is that the otherwise binary files provide an ascii header that makes it easy to get information about the contens of a file. It supports a variety of data types like images, vector fields and graphs. This is the development package containing the header files, and pkg-config script, and man pages. Package: libvistaio14 Source: libvistaio Version: 1.2.16-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 114 Depends: neurodebian-popularity-contest, libc6 (>= 2.7) Homepage: http://mia.sourceforge.net Priority: optional Section: libs Filename: pool/main/libv/libvistaio/libvistaio14_1.2.16-1~nd80+1+nd90+1_i386.deb Size: 39156 SHA256: b68c4b4a00384fcfda82a9c2d73eac6719351a43639e50d19fe142ca35399732 SHA1: 3a69debca354b35ac37c7624cc9135bdba7a8d0c MD5sum: f0b31a0e7f440c8409089ae5e3a27a8e Description: Library for loading and storing various types of binary data Vistaio is a library that handles loading and storing of data in a cross-platform manner. Its virtue is that the otherwise binary files provide an ascii header that makes it easy to get information about the contens of a file. It supports a variety of data types like images, vector fields and graphs. Package: libvistaio14-dbg Source: libvistaio Version: 1.2.16-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 82 Depends: neurodebian-popularity-contest, libvistaio14 (= 1.2.16-1~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/libv/libvistaio/libvistaio14-dbg_1.2.16-1~nd80+1+nd90+1_i386.deb Size: 61832 SHA256: 0d94750a1b6fddf03d7b50b1c5c895de86ea3eb91ff878ec322e738d0c80e8ab SHA1: 0a01b11d13fa6ade265167eb6d26bc9d1734a1d7 MD5sum: 8a6f41fd612ed3ee94fe22583956c693 Description: Debug information for the libvistaio library Vistaio is a library that handles loading and storing of data in a cross-platform manner. Its virtue is that the otherwise binary files provide an ascii header that makes it easy to get information about the contens of a file. It supports a variety of data types like images, vector fields and graphs. This is package containing the debug information. Package: libvrpn-dev Source: vrpn Version: 07.30+dfsg-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 762 Depends: neurodebian-popularity-contest, libvrpn0 (= 07.30+dfsg-1~nd70+1+nd90+1), libvrpnserver0 (= 07.30+dfsg-1~nd70+1+nd90+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: libdevel Filename: pool/main/v/vrpn/libvrpn-dev_07.30+dfsg-1~nd70+1+nd90+1_i386.deb Size: 185254 SHA256: 4c89653c3e2e7d63f69b62856070fc68eb1a1279e6916491512db4c75376b653 SHA1: 41b46561a6871e2e0b1f44c450c8c4215e82fb2a MD5sum: 1de317ca44f8750d615f2c51c8a6607c 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 568 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~nd70+1+nd90+1_i386.deb Size: 193356 SHA256: 11e10339e2c762b3c638cf9c3088a2538e2c65531381ababf40488e21378f21c SHA1: 12ead6453b2f1a7026c467acb6279dc80b070044 MD5sum: d8f0aa07eb56eda06f5c5d1c5881cddd 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1253 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~nd70+1+nd90+1_i386.deb Size: 382020 SHA256: 11df88e3c8bdf6f6a10e55c9faeaa4b6d1a0c0fffff4e20cd7e15ace72809a62 SHA1: deacc52d1d67a56b7afc602e98f694278a0f7857 MD5sum: 1e2a0c37f28af112f53d41aedd2e7978 Description: Virtual Reality Peripheral Network (server library) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the shared library use in the VRPN server Package: libvtk-dicom-java Source: vtk-dicom Version: 0.5.5-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 275 Depends: neurodebian-popularity-contest, libvtk-java, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libvtk-dicom0.5, libvtk5.8 Suggests: java-virtual-machine Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: java Filename: pool/main/v/vtk-dicom/libvtk-dicom-java_0.5.5-2~nd90+1_i386.deb Size: 73358 SHA256: b58c10895ff5b7a0aa635cb61d17e0d7b962773a5fe01eaf233b65dc81cb9648 SHA1: 0f314c7fa590df23b8f5ccb56a6784af1de3262b MD5sum: 50dc2dc96554cc0177de84e501d89339 Description: DICOM for VTK - java This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Java 1.5 bindings Package: libvtk-dicom0.5 Source: vtk-dicom Version: 0.5.5-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1508 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libgdcm2.4, libstdc++6 (>= 4.9), libvtk5.8, zlib1g (>= 1:1.2.3.4) Multi-Arch: same Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: libs Filename: pool/main/v/vtk-dicom/libvtk-dicom0.5_0.5.5-2~nd90+1_i386.deb Size: 436080 SHA256: 9e5439f295fc26a2a72a4814e27aca12ad509d29259d250ff3ae09fbfea42157 SHA1: b1cd1be31efba5d7337c99f75171caaf511ae041 MD5sum: 6b747ab6360f467801ff84d9e4c0c8dd Description: DICOM for VTK - lib This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Libraries for runtime applications Package: libvtk-dicom0.5-dev Source: vtk-dicom Version: 0.5.5-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 564 Depends: neurodebian-popularity-contest, libvtk-dicom0.5 (= 0.5.5-2~nd90+1) Conflicts: libvtk-dicom0.4-dev Replaces: libvtk-dicom0.4-dev Provides: libvtk-dicom-dev Multi-Arch: same Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: libdevel Filename: pool/main/v/vtk-dicom/libvtk-dicom0.5-dev_0.5.5-2~nd90+1_i386.deb Size: 80734 SHA256: 645e19de3087466b6b9c1fdfac892e17952a40a0cae9a9aa1c44b9a324926df7 SHA1: ede92e90bfe4a2d12197218965a2cb82e2fe2084 MD5sum: db69b4a4865c5e91f056248f79181689 Description: DICOM for VTK - dev This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Development headers Package: libxdffileio-dev Source: xdffileio Version: 0.3-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 55 Depends: neurodebian-popularity-contest, libxdffileio0 (= 0.3-1~nd70+1+nd90+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: libdevel Filename: pool/main/x/xdffileio/libxdffileio-dev_0.3-1~nd70+1+nd90+1_i386.deb Size: 27258 SHA256: 72e861669889b7a92ae7f4b77d10d41677ffa0885926811f12d893c6798940c4 SHA1: 631d725b0dd32853c7e97d94b78345c4305738c9 MD5sum: 4f75b1209e12948832b9cd3140e3f609 Description: Library to read/write EEG data file formats (development files) xdffileio is a library that provides a unified interface for writing and reading various biosignal file formats in realtime (i.e. streaming). It has been designed to provide a flexible, consistent and generic interface to all supported file formats while minimizing the overhead the function calls: the heaviest operations (type casting, scaling and formatting) are offloaded into a separated thread. This design makes its particularly suitable to be directly used in a data acquisition loop (like in electrophysiology recording or in Brain-Computer Interfaces (BCI)). . The genericity of the interface makes trivial various operations like transformation of a recorded file or its conversion to another file format. xdffileio currently supports EDF, BDF, GDF1 and GDF2 file formats and more will be added in future. . This package contains the files needed to compile and link programs which use xdffileio. Package: libxdffileio0 Source: xdffileio Version: 0.3-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 110 Depends: neurodebian-popularity-contest, libc6 (>= 2.4) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: libs Filename: pool/main/x/xdffileio/libxdffileio0_0.3-1~nd70+1+nd90+1_i386.deb Size: 41970 SHA256: 7938c7aff90ae540f6a67c62331c22266be7a0152c116962f5c7bfbb54c40606 SHA1: 2919842d78ec7fe7d6c8777cf9debe2fb239c759 MD5sum: f2cb9f5d63edcd6b82ff1e4dfb12c72e Description: Library to read/write EEG data file formats xdffileio is a library that provides a unified interface for writing and reading various biosignal file formats in realtime (i.e. streaming). It has been designed to provide a flexible, consistent and generic interface to all supported file formats while minimizing the overhead of the function calls: the heaviest operations (type casting, scaling and formatting) are offloaded into a separated thread. This design makes its particularly suitable to be directly used in a data acquisition loop (like in electrophysiology recording or in Brain-Computer Interfaces (BCI)). . The genericity of the interface makes trivial various operations like transformation of a recorded file or its conversion to another file format. xdffileio currently supports EDF, BDF, GDF1 and GDF2 file formats and more will be added in future. Package: libxdffileio0-dbg Source: xdffileio Version: 0.3-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 81 Depends: neurodebian-popularity-contest, libxdffileio0 (= 0.3-1~nd70+1+nd90+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: debug Filename: pool/main/x/xdffileio/libxdffileio0-dbg_0.3-1~nd70+1+nd90+1_i386.deb Size: 65464 SHA256: 95f65db4eb67448c9af1ae71bed67e9a3292a6d6ae7107658139b9d0cb4dccdf SHA1: 8a86c841e4f7b28a6c3b1e2d2cf4c9d0b12a1919 MD5sum: 682e0fe3fe0cf21115de7137a42a93b1 Description: Library to read/write EEG data file formats (debugging symbols) xdffileio is a library that provides a unified interface for writing and reading various biosignal file formats in realtime (i.e. streaming). It has been designed to provide a flexible, consistent and generic interface to all supported file formats while minimizing the overhead the function calls: the heaviest operations (type casting, scaling and formatting) are offloaded into a separated thread. This design makes its particularly suitable to be directly used in a data acquisition loop (like in electrophysiology recording or in Brain-Computer Interfaces (BCI)). . The genericity of the interface makes trivial various operations like transformation of a recorded file or its conversion to another file format. xdffileio currently supports EDF, BDF, GDF1 and GDF2 file formats and more will be added in future. . This package provides the debugging symbols of the library. Package: lua-cnrun Source: cnrun Version: 2.0.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 115 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~nd80+1+nd90+1_i386.deb Size: 42538 SHA256: c6939d1436a4a3b5feae15ae48f71e9297a85d3970c539e8cffe2b24eef5f981 SHA1: 973c0723e138a8b4ebf62dd6ac13af2b05d79ada MD5sum: 9fae27738a0203b3252b82edcbb55cad 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: matlab-support-dev Source: matlab-support Version: 0.0.19~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 17 Depends: neurodebian-popularity-contest Conflicts: matlab-dev (<= 0.0.14~) Replaces: matlab-dev (<= 0.0.14~) Priority: optional Section: devel Filename: pool/main/m/matlab-support/matlab-support-dev_0.0.19~nd70+1+nd90+1_all.deb Size: 7078 SHA256: 04fecd43be8cde2fcfc36c631587495cde2c09170103c7d8af87f9dba73f62fe SHA1: 1d8036b3970776a3c9157e073e0cda32535f74da MD5sum: 9a1a35a8f774cfa7ae6813157471f994 Description: helpers for packages building MATLAB toolboxes This package provides a Makefile snippet (analogous to the one used for Octave) that configures the locations for architecture independent M-files, binary MEX-extensions, and their corresponding sources. This package can be used as a build-dependency by other packages shipping MATLAB toolboxes. Package: mia-tools Source: mia Version: 2.0.13-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 7693 Depends: neurodebian-popularity-contest, libmia-2.0-8 (= 2.0.13-1~nd80+1+nd90+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 (>= 2.44.0), libgsl0ldbl (>= 1.9), libgts-0.7-5 (>= 0.7.6), libjpeg62-turbo (>= 1.3.1), 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 (>= 2.38.0) Recommends: mia-doc Homepage: http://mia.sourceforge.net Priority: optional Section: science Filename: pool/main/m/mia/mia-tools_2.0.13-1~nd80+1+nd90+1_i386.deb Size: 1421932 SHA256: f5ec7408f6808535b212cd30ca9ea223722e313eae782d75b8262fada2c719cc SHA1: fe9e807a43373c6534f1ba754492a013c404716d MD5sum: 76eae9ea44b752c1005f621a480dbb75 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 27326 Depends: neurodebian-popularity-contest, mia-tools (= 2.0.13-1~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/m/mia/mia-tools-dbg_2.0.13-1~nd80+1+nd90+1_i386.deb Size: 25468738 SHA256: 965ca50e43612ccd4c250b63934e8f3db823f9d252a2cd97b8cef5860e1b5e2e SHA1: ec3be2a7de513c83b1b4c0efa5ce6f30e2dfa3a1 MD5sum: 8b91076d1e518b46abd02cb8e49cd566 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1227 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~nd80+1+nd90+1_all.deb Size: 78588 SHA256: b2e28ac06616de16419dca9ffe55d4cd31ce25627201cb084f64f13bdbfd9ccd SHA1: eabc90ca30982d35ac6e45697cd8f2670cdcbfd9 MD5sum: 39002ffe1546edf4a27c57fa26bf9c66 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: mialmpick Version: 0.2.10-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 200 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgdk-pixbuf2.0-0 (>= 2.22.0), libgl1-mesa-glx | libgl1, libglade2-0 (>= 1:2.6.4-2~), libglib2.0-0 (>= 2.41.1), libglu1-mesa | libglu1, libgnomeui-0 (>= 2.22.0), libgtk2.0-0 (>= 2.20.0), libgtkglext1, libmialm3 (>= 1.0.7), libpng12-0 (>= 1.2.13-4), libpopt0 (>= 1.14), libvistaio14 (>= 1.2.14), libx11-6 Homepage: http://mia.sourceforge.net Priority: optional Section: science Filename: pool/main/m/mialmpick/mialmpick_0.2.10-1~nd80+1+nd90+1_i386.deb Size: 72070 SHA256: c9f60ad37c9df3d2eea30dfb59c41d8c4618205bb67f3d0650ed33288fb13b09 SHA1: 6bfe71d2395ce186de3879eb43c83999cc45ed3b MD5sum: 3b46a1da928f05f88a90397f4db5b5bd Description: Tools for landmark picking in 3D volume data sets This tool provides a simple 3D renderer that can visualize surfaces directly from 3D volumes and can be used to set 3D landmarks. It is best suited for CT data sets. Package: mialmpick-dbg Source: mialmpick Version: 0.2.10-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 171 Depends: neurodebian-popularity-contest, mialmpick (= 0.2.10-1~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/m/mialmpick/mialmpick-dbg_0.2.10-1~nd80+1+nd90+1_i386.deb Size: 139330 SHA256: eb025a3087451a5e57f3ca1f7a880c211126565302b20946e274428b27ec2a90 SHA1: 68eb034c869a0e6468ded55b67aa1d00c79b2541 MD5sum: 868dca3dce39082fc47da65d7aeadc75 Description: Debug information landmark picking tool mialmpick This tool provides a simple 3D renderer that can visualize surfaces directly from 3D volumes and can be used to set 3D landmarks. It is best suited for CT data sets. This package provides the debug information. Package: mitools Source: odin Version: 1.8.8-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 7320 Depends: neurodebian-popularity-contest, libblitz0ldbl, libc6 (>= 2.11), libdcmtk2 (>= 3.6.0), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), liblapack3 | liblapack.so.3, libnifti2, libpng12-0 (>= 1.2.13-4), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.6.1), libqwt5-qt4, libstdc++6 (>= 4.9), libvtk5.8, zlib1g (>= 1:1.1.4), dcmtk Recommends: grace Homepage: http://od1n.sourceforge.net Priority: extra Section: science Filename: pool/main/o/odin/mitools_1.8.8-1~nd80+1+nd90+1_i386.deb Size: 2005024 SHA256: 2d18a75bb56d500516d2619dd47f3271da8ceced8a48e87da630715b5c47f07f SHA1: 3ccbc054d1a47fed440058e255b9eba4cfa01f39 MD5sum: 9ed3329615185cc60f92f7e7f2c2f594 Description: view, convert and perform basic maths with medical image datasets The three contained tools micalc, miconv and miview are handy command-line utilities for converting, manipulating and viewing medical image data in various formats (DICOM, NIfTI, PNG, binary data, ...). Package: mriconvert Version: 1:2.0.8-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5376 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.9), libwxbase3.0-0 (>= 3.0.2), libwxgtk3.0-0 (>= 3.0.2) Homepage: http://lcni.uoregon.edu/~jolinda/MRIConvert/ Priority: optional Section: science Filename: pool/main/m/mriconvert/mriconvert_2.0.8-1~nd90+1_i386.deb Size: 833676 SHA256: f250e86872fa4f29b180b58051a5b165e86029f927c7a86fa189f6128966b6d2 SHA1: c74358dabd4c5312ee0ca51dba4d87136ae711f6 MD5sum: 84309454c9e43d218eb4c997be6bf490 Description: medical image file conversion utility MRIConvert is a medical image file conversion utility that converts DICOM files to NIfTI 1.1, Analyze 7.5, SPM99/Analyze, BrainVoyager, and MetaImage volume formats. Package: mricron Version: 0.20140804.1~dfsg.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 12525 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~nd80+1+nd90+1_i386.deb Size: 2061330 SHA256: 9aa7adb03be73e7edea795609c858b6d8a9112c5d24d16571ab3b8148c059cf0 SHA1: 2ad587b51b6a3074965dec2727b2d177e8d4fd2c MD5sum: 10c3a35c586e67bc6bdbd5b82b3285e2 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1696 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~nd80+1+nd90+1_all.deb Size: 1661008 SHA256: c72c5a52aa36f95b969d40b6696b3fd6825e56f2b4c747c8c7583fee75f818a3 SHA1: f7adfccd1977f34cb146ba91f62f47348c91d8ce MD5sum: ac38c72fa2c712209849a6c07d7e7997 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1024 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~nd80+1+nd90+1_all.deb Size: 579888 SHA256: eed56b4447c212858640a3e24d776b3404f9d3b81d732faa0dcbeab494a9e1f7 SHA1: ad06900073ad2fff7af240ab1c812298c638efc1 MD5sum: 4b028808fdef22505256fe03fbb307ac 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: mrtrix Version: 0.2.12-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 8648 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libatkmm-1.6-1 (>= 2.22.1), libc6 (>= 2.3.6-6~), libcairo2 (>= 1.2.4), libcairomm-1.0-1 (>= 1.6.4), libfontconfig1 (>= 2.11), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.1.1), libgdk-pixbuf2.0-0 (>= 2.22.0), libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.16.0), libglibmm-2.4-1c2a (>= 2.44.0), libglu1-mesa | libglu1, libgsl0ldbl (>= 1.9), libgtk2.0-0 (>= 2.8.0), libgtkglext1, libgtkmm-2.4-1c2a (>= 1:2.24.0), libice6 (>= 1:1.0.0), libpango-1.0-0 (>= 1.14.0), libpangocairo-1.0-0 (>= 1.14.0), libpangoft2-1.0-0 (>= 1.14.0), libpangomm-1.4-1 (>= 2.36.0), libpangox-1.0-0 (>= 0.0.2), libsigc++-2.0-0c2a (>= 2.2.0), libsm6, libstdc++6 (>= 4.6), libx11-6, libxmu6, libxt6, zlib1g (>= 1:1.1.4) Suggests: mrtrix-doc, octave, matlab-support Homepage: http://www.brain.org.au/software/mrtrix Priority: extra Section: science Filename: pool/main/m/mrtrix/mrtrix_0.2.12-1~nd80+1+nd90+1_i386.deb Size: 1449838 SHA256: a544d06a731fa68c90b65077cdd67015aa2a55a914b302db07f59e75d85053ff SHA1: be8c78b1fe1dbdf1873f396d902df553cefa4416 MD5sum: 9a5c24139e7c60d56a85a18fe14b9492 Description: diffusion-weighted MRI white matter tractography Set of tools to perform diffusion-weighted MRI white matter tractography of the brain in the presence of crossing fibres, using Constrained Spherical Deconvolution, and a probabilisitic streamlines algorithm. Magnetic resonance images in DICOM, ANALYZE, or uncompressed NIfTI format are supported. Package: mrtrix-doc Source: mrtrix Version: 0.2.12-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 3542 Depends: neurodebian-popularity-contest Homepage: http://www.brain.org.au/software/mrtrix Priority: extra Section: doc Filename: pool/main/m/mrtrix/mrtrix-doc_0.2.12-1~nd80+1+nd90+1_all.deb Size: 3198612 SHA256: c4759ba0583f737edb2e578bfce4f4243f46325d84ae08ac123fa2cb32858f1c SHA1: 5418da876c4b3fbd5f96f5fe3a670828a46683b8 MD5sum: 53aca395bed6599b118a7115d696cd3b Description: documentation for mrtrix Set of tools to perform diffusion-weighted MRI white matter tractography of the brain in the presence of crossing fibres, using Constrained Spherical Deconvolution, and a probabilisitic streamlines algorithm. Magnetic resonance images in DICOM, ANALYZE, or uncompressed NIfTI format are supported. . This package provides the documentation in HTML format. Package: mwrap Version: 0.33-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 301 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Recommends: octave Homepage: http://www.cims.nyu.edu/~dbindel/mwrap/ Priority: extra Section: devel Filename: pool/main/m/mwrap/mwrap_0.33-1~nd70+1+nd90+1_i386.deb Size: 214522 SHA256: f1ca92b9019dba77bbf56e60ba7fc6459667da3426f49d378841203b656810b2 SHA1: 504943be9b9eab8b42058856676ee33f727b75ee MD5sum: 410cf7598821d70d5eb9b34fd1a90203 Description: Octave/MATLAB mex generator MWrap is an interface generation system in the spirit of SWIG or matwrap. From a set of augmented Octave/MATLAB script files, MWrap will generate a MEX gateway to desired C/C++ function calls and Octave/MATLAB function files to access that gateway. The details of converting to and from Octave/MATLAB's data structures, and of allocating and freeing temporary storage, are hidden from the user. Package: netselect Version: 0.3.ds1-25~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 62 Depends: neurodebian-popularity-contest, libc6 (>= 2.1), 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~nd80+1+nd90+1_i386.deb Size: 30558 SHA256: ed1523eb1185c785369d0616abf7a9d7b336f627883adc81b6754127b1e2ee24 SHA1: 2706e28a29635517677b544307511c994db3b366 MD5sum: 30d8d994780f867494068fc528a00916 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 38 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~nd80+1+nd90+1_all.deb Size: 16768 SHA256: 0855800d052bec8451592fc24b243e211b528f2f09f4638271b33344b4f75fd6 SHA1: 009fe8913a3e0df14c68d36bc8cbfbc3bdb718a2 MD5sum: 364fd6a7cc867d537b4c2d9bce6860ed 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 58 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~nd90+1_all.deb Size: 22366 SHA256: 4e4bc712736587ad4f8fe4c20f0ca110322757d75d9411f36662825d929ee3c5 SHA1: 29a926ade79c6dcbf66b6f136a53d35655ec2b07 MD5sum: a775bd9ad6f401df86fbe28aa7db3c93 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 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~nd90+1_all.deb Size: 9748 SHA256: 8215aaddc9e6b3a0b07e69f9f7edadd860a928e05b8312608200a1c67a095b29 SHA1: fb8fb55b4380e9c3a268e5c0701109493ce5f2ea MD5sum: fd80e13dc0111f4fb4e041a403dded09 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 188 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~nd90+1_all.deb Size: 115472 SHA256: 11b850f9ff942e28235c0bf5de41ca70d20d2de1c20561c49b4db4435482aaa8 SHA1: 5e9f44a4bfccdd9835230a158f23fba2aca4ccf3 MD5sum: 720fb7a86c4c4122e9ae29bd47ad3119 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 109 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~nd90+1_all.deb Size: 31846 SHA256: 5dd3b2aab51f877830d2ca7835f3d078c9f76bc299aa3afb2f2830b0b92b3bed SHA1: 6709bdd4931cacbff4fd45d5a680ac6bfcc91809 MD5sum: 96a5883c0e2ee89b87222aef394037ed 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 27 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.37.1~nd90+1_all.deb Size: 11780 SHA256: 569dd9d7e3e1c29d40539da473b12826991041d3571cfd57cac6a6ed698ff6a3 SHA1: dbd947e83093ce1fcdafee4098d43f48b3da9e1a MD5sum: 6e8cd4d213411dc951bfdb9e8ee33bf9 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 155 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~nd80+1+nd90+1_i386.deb Size: 56008 SHA256: ef6e39779d45c0399485c38e100184024436979361be436a0627efd46b009309 SHA1: 79bc9f06c532dd32f8fc36859e460e71a518521f MD5sum: 7af8bb543f614ba1ae6b2a5d4cff8cb8 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: nifti2dicom Version: 0.4.9-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2351 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libgdcm2.4, libinsighttoolkit4.6, libstdc++6 (>= 4.9), nifti2dicom-data (= 0.4.9-1~nd80+1+nd90+1) Homepage: https://github.com/biolab-unige/nifti2dicom Priority: optional Section: science Filename: pool/main/n/nifti2dicom/nifti2dicom_0.4.9-1~nd80+1+nd90+1_i386.deb Size: 363180 SHA256: a97950af1fd4ada415b6440f8e9917ea8188b45af79b55218b9f29f8fa279d5d SHA1: 2909fa402247074f6bfe87ec7c18b35eafbb4b88 MD5sum: a6878fab3028d635977bfc003c832ff9 Description: convert 3D medical images to DICOM 2D series Nifti2Dicom is a convertion tool that converts 3D NIfTI files (and other formats supported by ITK, including Analyze, MetaImage Nrrd and VTK) to DICOM. Unlike other conversion tools, it can import a DICOM file that is used to import the patient and study DICOM tags, and allows you to edit the accession number and other DICOM tags, in order to create a valid DICOM that can be imported in a PACS. . This package includes the command line tools. Package: nifti2dicom-data Source: nifti2dicom Version: 0.4.9-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 643 Depends: neurodebian-popularity-contest Homepage: https://github.com/biolab-unige/nifti2dicom Priority: optional Section: science Filename: pool/main/n/nifti2dicom/nifti2dicom-data_0.4.9-1~nd80+1+nd90+1_all.deb Size: 615920 SHA256: 25fdd19e2a1d27cd7e03c17dc874ec0bf5bfe53862d0edd400da96b9649362e1 SHA1: b63957274fc4d210c1a0b12766144d56a78752d5 MD5sum: 56bd9fd876a7a3458bccdcac9a1bc456 Description: data files for nifti2dicom This package contains architecture-independent supporting data files required for use with nifti2dicom, such as such as documentation, icons, and translations. Package: nuitka Version: 0.5.13+ds-1~nd90+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~nd90+1_all.deb Size: 557740 SHA256: e5121e1f576339f39aec5bb9a54971a867f26bf355b4966f7f1c5b007b8bc9c3 SHA1: 1a502117824ccc5044998f7c0d0bee23ccf913f7 MD5sum: e80fc78faa529a78dccae904957ac980 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: numdiff Version: 5.6.0-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 851 Depends: neurodebian-popularity-contest, libc6 (>= 2.17), dpkg (>= 1.15.4) | install-info Homepage: http://nongnu.org/numdiff/ Priority: extra Section: science Filename: pool/main/n/numdiff/numdiff_5.6.0-1~nd70+1+nd90+1_i386.deb Size: 566420 SHA256: e3b4724c8e164cc1ccf0c4efea44f85704df6ad7fe41a24e782f56857e607f80 SHA1: 46ff21e05e1f3859dc3877a47037516f3f8c6534 MD5sum: 772155ad96536aaf0a973a3ab93f168d Description: Compare similar files with numeric fields. Numdiff is a console application that can be used to compare putatively similar files line by line and field by field, ignoring small numeric differences or/and different numeric formats. It is similar diff or wdiff, but it is aware of floating point numbers including complex and multi-precision numbers. Numdiff is useful to compare text files containing numerical fields, when testing or doing quality control in scientific computing or in numerical analysis. Package: octave-biosig Source: biosig4c++ Version: 1.4.1-2~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 81 Depends: neurodebian-popularity-contest, octave (>= 3.4.3-1~), libbiosig1, libc6 (>= 2.4), libcholmod2.1.2, libgcc1 (>= 1:4.1.1), liboctave2, libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: science Filename: pool/main/b/biosig4c++/octave-biosig_1.4.1-2~nd80+1+nd90+1_i386.deb Size: 20544 SHA256: 2ca11ded8b1e0d344f15d0b3ce403cd46225d634ab678cee0b31f1788ee26f45 SHA1: 0b945525ebd8dce5eea61394c81d88818a464479 MD5sum: 5c11497b394f3b024621ddfd41274523 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-gdf Source: libgdf Version: 0.1.2-2~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 333 Depends: neurodebian-popularity-contest, octave (>= 3.4.3-1~), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libgdf0, liboctave2, libstdc++6 (>= 4.9) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: science Filename: pool/main/libg/libgdf/octave-gdf_0.1.2-2~nd70+1+nd90+1_i386.deb Size: 85340 SHA256: bc7813088f96cb0c3d93b49b5041fe04118b67a56a6989c1bc4c1c6c28d93b52 SHA1: 97ea726712cb27d8bf8da0fcd234487687567ef3 MD5sum: 61e3c68aa98b1782ad58b2ff924bab04 Description: IO library for the GDF -- Octave interface GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides Octave bindings for libgdf. Package: octave-nlopt Source: nlopt Version: 2.4.1+dfsg-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 163 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd80+1+nd90+1), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), liboctave2, libstdc++6 (>= 4.1.1) Homepage: http://ab-initio.mit.edu/wiki/index.php/NLopt Priority: optional Section: math Filename: pool/main/n/nlopt/octave-nlopt_2.4.1+dfsg-1~nd80+1+nd90+1_i386.deb Size: 32994 SHA256: c60493b8931bfe538b5a82b4f1c378f897ec3a52dbf8267db18c0af54e1b0c9e SHA1: e9b17a926a3acde011bcabad24207762d93c5981 MD5sum: 8b71cc6c8d9387f86da9afd1e8c27339 Description: nonlinear optimization library -- GNU Octave package NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: . * Callable from C, C++, Fortran, GNU Octave, Python, GNU Guile, GNU R. * A common interface for many different algorithms * Support for large-scale optimization. * Both global and local optimization algorithms. * Algorithms using function values only (derivative-free) and also algorithms exploiting user-supplied gradients. * Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. . This package contains the module for the GNU Octave. Package: octave-psychtoolbox-3 Source: psychtoolbox-3 Version: 3.0.12.20150419.dfgs1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4090 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), libstdc++6 (>= 4.1.1), libusb-1.0-0 (>= 2:1.0.9), libx11-6 (>= 2:1.2.99.901), libxext6, libxfixes3, libxi6 (>= 2:1.2.99.4), libxml2 (>= 2.6.27), libxrandr2 (>= 2:1.2.99.3), libxxf86vm1, psychtoolbox-3-common (= 3.0.12.20150419.dfgs1-1~nd90+1), psychtoolbox-3-lib (= 3.0.12.20150419.dfgs1-1~nd90+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~nd90+1_i386.deb Size: 802868 SHA256: 32c64e360612834b8c61be433bea9715faa900ced7a806477fdd6fbc7c701226 SHA1: 1984ae992d508833e28ac125642d717f6cebd129 MD5sum: d1b307cd80b68a654a7a2fe876f667b5 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: odin Version: 1.8.8-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 4243 Depends: neurodebian-popularity-contest, libblitz0ldbl, libc6 (>= 2.4), libdcmtk2 (>= 3.6.0), libgcc1 (>= 1:4.1.1), liblapack3 | liblapack.so.3, libnifti2, libpng12-0 (>= 1.2.13-4), libqtcore4 (>= 4:4.5.3), libqtgui4 (>= 4:4.5.3), libstdc++6 (>= 4.6), libvtk5.8, mitools (= 1.8.8-1~nd80+1+nd90+1), zlib1g (>= 1:1.1.4), libodin-dev, libgsl0-dev, libc6-dev | libc-dev, g++, libblas-dev | libatlas-base-dev, xterm | x-terminal-emulator, gdb Recommends: liboil0.3-dev | liboil-dev, libdcmtk1-dev Homepage: http://od1n.sourceforge.net Priority: extra Section: science Filename: pool/main/o/odin/odin_1.8.8-1~nd80+1+nd90+1_i386.deb Size: 1295942 SHA256: ab361f41f65183ade4d38e99fb87e728449aecbed03f8f07ee4587003a2002e5 SHA1: 5ed8f6826bb7cccffbf5a9abc427a882615663ee MD5sum: b1e22484f009c4214857778acac89ed9 Description: develop, simulate and run magnetic resonance sequences ODIN is a framework for magnetic resonance imaging (MRI). It covers the whole toolchain of MRI, from low-level data acquisition to image reconstruction. In particular, it aims at rapid prototyping of MRI sequences. The sequences can be programmed using a high-level, object oriented, C++ programming interface. It provides advanced sequence analysis tools, such as interactive plotting of k-space trajectories, a user interface for a fast compile-link-test cycle and a powerful MRI simulator which supports different virtual samples. For fast and flexible image reconstruction, ODIN contains a highly customizable, multi-threaded data-processing framework. Package: openwalnut-modules Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 19757 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, libopenscenegraph100, libopenthreads20, 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~nd80+1+nd90+1_i386.deb Size: 3566710 SHA256: 409ff9a445375bd6e97749759b073da9104d6cf50cbcc9d401653ea9a03eb2a6 SHA1: bdc64231ab443b7d42bfafcc30d3961c4acb4249 MD5sum: cb447c1729956d85eb424045a26676b4 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2118 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), libopenscenegraph100, libopenthreads20, libopenwalnut1, libqt4-opengl (>= 4:4.6.0), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.8.0), libqtwebkit4 (>= 2.1.0~2011week13), libstdc++6 (>= 4.9), libx11-6 Recommends: openwalnut-modules (= 1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1) Homepage: http://www.openwalnut.org Priority: extra Section: science Filename: pool/main/o/openwalnut/openwalnut-qt4_1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1_i386.deb Size: 775422 SHA256: 155fbb0c57f0c808fc4cb45c88d24ecc4846c0e37743bd7c614635e67e4d934a SHA1: 62ad61da35ca01b7cbcc4db08c071f6562db398a MD5sum: 6a151aca5909028068eff7210ffc7050 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~nd90+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~nd90+1_all.deb Size: 6058792 SHA256: 139621d2fecb29ada4099761f66b2a9e779ad7a2f8377bf9faca9dfa687c88ad SHA1: b883b55eaa13b5cd3aae4d0fcd97118b069a57ae MD5sum: 2f1813473039cb4ccd367e4bd9f71872 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~nd90+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~nd90+1_all.deb Size: 23890344 SHA256: 73d6c80bc4d73e55c0c229b9ab1f0803e5cc313d6653a6e64e2f40f41743acde SHA1: 55cc4f1241d931c1982ce59467049897bb1a0b77 MD5sum: cd7a3f7f0b8d75a73b8788ba9cc7f4d5 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3465 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.12.20150419.dfgs1-1~nd90+1) Homepage: http://psychtoolbox.org Priority: extra Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.12.20150419.dfgs1-1~nd90+1_i386.deb Size: 687992 SHA256: c901f8573f76ac9ed158a53ad31410a905da8cd555ae5984180137663cb7a000 SHA1: f18fb3029a81a27b23ed9a95c4d458165b5c8119 MD5sum: 4a5580fa2b1fa15a0aea7e7f0f9167bf 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 137 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libfontconfig1 (>= 2.11), 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~nd90+1_i386.deb Size: 54788 SHA256: 036eea0d0178e06099ee6ab3667af681cffda61eb16b00aadef74114d092a462 SHA1: f484b3796abcfb77f6111840dc8e2d6cc6c6e5d2 MD5sum: 51772da7d12ff05f62c485e35ce424ab 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 218 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 (>= 2.3.6-6~), 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~nd80+1+nd90+1_i386.deb Size: 43284 SHA256: a0c96a10de8291b504ce81fd4523efab1bc325d1983301d0d0be95ac85af5047 SHA1: 15bafd14f9950169f10f3ccc3e2fabc05844c2ce MD5sum: 7f6f1bec0ef2d3e9f7e5449491799c5b 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-brian Source: brian Version: 1.4.1-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2453 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-brian-lib (>= 1.4.1-1~nd70+1+nd90+1), python-matplotlib (>= 0.90.1), python-numpy (>= 1.3.0), python-scipy (>= 0.7.0) Recommends: python-sympy Suggests: python-brian-doc, python-nose, python-cherrypy Homepage: http://www.briansimulator.org/ Priority: extra Section: python Filename: pool/main/b/brian/python-brian_1.4.1-1~nd70+1+nd90+1_all.deb Size: 400126 SHA256: 5034cb0a6acb433164b5967ba3ca575638d146424e48f471b17f5a76fbf813a0 SHA1: 50850e4166ec42d035e2d3ff1e97c1487bf1ba82 MD5sum: d8760f6408bd1b679709be326702ed44 Description: simulator for spiking neural networks Brian is a clock-driven simulator for spiking neural networks. It is designed with an emphasis on flexibility and extensibility, for rapid development and refinement of neural models. Neuron models are specified by sets of user-specified differential equations, threshold conditions and reset conditions (given as strings). The focus is primarily on networks of single compartment neuron models (e.g. leaky integrate-and-fire or Hodgkin-Huxley type neurons). Features include: - a system for specifying quantities with physical dimensions - exact numerical integration for linear differential equations - Euler, Runge-Kutta and exponential Euler integration for nonlinear differential equations - synaptic connections with delays - short-term and long-term plasticity (spike-timing dependent plasticity) - a library of standard model components, including integrate-and-fire equations, synapses and ionic currents - a toolbox for automatically fitting spiking neuron models to electrophysiological recordings Package: python-brian-doc Source: brian Version: 1.4.1-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7060 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-brian Homepage: http://www.briansimulator.org/ Priority: extra Section: doc Filename: pool/main/b/brian/python-brian-doc_1.4.1-1~nd70+1+nd90+1_all.deb Size: 1974528 SHA256: 50db30375655ee0a42762932fb31d4f29cacf8ca4100da03298e2995dd2c63e8 SHA1: 1f0e0622e44d236d59808871d85d4dd69630e719 MD5sum: c085e71d20e796a9bb79a03612ddacfa Description: simulator for spiking neural networks - documentation Brian is a clock-driven simulator for spiking neural networks. . This package provides user's manual (in HTML format), examples and demos. Package: python-brian-lib Source: brian Version: 1.4.1-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 154 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.8.0), python-numpy-abi9, python-support (>= 0.90.0), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.4.0) Homepage: http://www.briansimulator.org/ Priority: extra Section: python Filename: pool/main/b/brian/python-brian-lib_1.4.1-1~nd70+1+nd90+1_i386.deb Size: 41100 SHA256: d3c28a7d7d97385837909484b26c604de8cd4f4332d4806ee9b79092ef111b1e SHA1: 5b51f3d6e51e77f4f96dd4ee2608c2a6c3ec0064 MD5sum: 3094b5597f6fd1d2d8ac55bf0ea44b02 Description: simulator for spiking neural networks -- extensions Brian is a clock-driven simulator for spiking neural networks. . This package provides Python binary extensions. Package: python-cfflib Source: cfflib Version: 2.0.5-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 736 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-lxml, python-numpy, python-networkx (>= 1.4), python-nibabel (>= 1.1.0) Recommends: python-nose, python-sphinx, python-tables, python-h5py Provides: python2.7-cfflib Homepage: http://cmtk.org/cfflib Priority: extra Section: python Filename: pool/main/c/cfflib/python-cfflib_2.0.5-1~nd70+1+nd90+1_all.deb Size: 202534 SHA256: 76cb03a4761b10f0ba07dc6eb4cf60e126c2d362aeaa2f981d1a79003a265982 SHA1: 9129804539bb9895714a6229ae4d56a544bf47ed MD5sum: fd58e3bf366a779d34c534a279c590d3 Description: Multi-modal connectome and metadata management and integration The Connectome File Format Library (cfflib) is a Python module for multi-modal neuroimaging connectome data and metadata management and integration. . It enables single subject and multi-subject data integration for a variety of modalities, such as networks, surfaces, volumes, fiber tracks, timeseries, scripts, arbitrary data objects such as homogeneous arrays or CSV/JSON files. It relies on existing Python modules and the standard library for basic data I/O, and adds a layer of metadata annotation as tags or with structured properties to individual data objects. Package: python-citeproc Source: citeproc-py Version: 0.3.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 769 Depends: neurodebian-popularity-contest, python-lxml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/brechtm/citeproc-py Priority: optional Section: python Filename: pool/main/c/citeproc-py/python-citeproc_0.3.0-1~nd90+1_all.deb Size: 80364 SHA256: d1545645e4616ee893390ac616db5525b8b6540f8962c978df9489762081a8c4 SHA1: 0a2c8756cc2aca7f3c4e34da3dec7f9e24da23dd MD5sum: a3d3a59ef819bfaae15b840ea2e0d164 Description: Citation Style Language (CSL) processor for Python Citeproc-py is a library that produces formatted bibliographies and citations from bibliographic databases following formatting instructions provided by XML style files written in the Citation Style Language (CSL). . Currently, BibTeX and JSON are supported as input database formats, and plain text, reStructuredText and HTML as output format. . This package contains the Python modules. Package: python-dicom Source: pydicom Version: 0.9.9-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1577 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~nd80+1+nd90+1_all.deb Size: 357482 SHA256: 333cc88a2a89e9e497b59c70b4972f54879fc829709837408617f2cba6c05900 SHA1: 7a178766cae90f6a7a7f024eab6064433eb66c59 MD5sum: 5104770e0d0083777c17d5a64d13c8a3 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4765 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy, python-scipy, python-dipy-lib (>= 0.9.2-1~nd80+1+nd90+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~nd80+1+nd90+1_all.deb Size: 2349806 SHA256: aa8c79acc024ffdffcdb8b6b42b3ecbe59b949d161a38239445a3151e2b7d82b SHA1: cf00a29a80b70e4fb98a86883f0ab47c84fd3bd0 MD5sum: ba6336de815ba541ed4356ba9fe91a75 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12614 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~nd80+1+nd90+1_all.deb Size: 10230982 SHA256: 471026b160a5bf637a22cde83fbf090947ceb79233c62345f3b446d1afe4a8bc SHA1: 34c5db181ca87d2bef37f2fc938ec98690219ce2 MD5sum: 577d1aa8554252276248d01fdc11fcee 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5786 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~nd80+1+nd90+1_i386.deb Size: 940930 SHA256: 52fd26622cbda5a2afcd3795fde90a17843a43f1156ace1fe052c406e703daef SHA1: a95f3a43e919c17cc15af158ee04a0bb9e931545 MD5sum: 56a2289572d815eebc837a674540975d 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2571 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~nd80+1+nd90+1_all.deb Size: 695880 SHA256: 0cd86f3708c27c1840b144158946a886c4c9f95be05b1e066841e2c1c8bb1a14 SHA1: bb870ded3d8999b7897d0952949260de3e7a4f0a MD5sum: 9c3064599b09b61824b028c8da226384 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 147 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~nd90+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~nd90+1_i386.deb Size: 47038 SHA256: 586a739e9c573fb2e30e3184a46a806b36f31c15e755fada20d7493cd6f6b1ec SHA1: fc467b719f6a019628f77b33deff790d384f6c07 MD5sum: c45f884d27b19e404e8e06bc595987d6 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-gitdb Version: 0.6.4-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 234 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~nd80+1+nd90+1_i386.deb Size: 56202 SHA256: d1d98494a099acfe6faf2278c11c2a6c53821adb6cce44aed7db0d7e0a1ca94c SHA1: f9154974fc374e416ae3abbeb4b6599303990a9a MD5sum: 7ace506e99918586c7522cd85b8ecc37 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 39 Depends: neurodebian-popularity-contest Homepage: https://github.com/phn/jdcal Priority: optional Section: python Filename: pool/main/j/jdcal/python-jdcal_1.0-1~nd80+1+nd90+1_all.deb Size: 7716 SHA256: fa7278a583fb30f2c0f244e46d4176c125e058cfb9440bf00988b098091dfb52 SHA1: c46cec73f8ed98b465cc051e97390f4996bce87b MD5sum: e67938a52dc086acbbea4f392b75b962 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 279 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~nd80+1+nd90+1_all.deb Size: 64328 SHA256: f5d2ef3a6993eaea2f35805d0d31370fb8b45840be19579aa629d237bdd30633 SHA1: 5a35dca74aa1e784f7fa828785d880317abbae7e MD5sum: 7296401f7a59c7c124e832aaa4f9f0e3 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-lazyarray Source: lazyarray Version: 0.1.0-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 29 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy Homepage: http://bitbucket.org/apdavison/lazyarray/ Priority: optional Section: python Filename: pool/main/l/lazyarray/python-lazyarray_0.1.0-1~nd70+1+nd90+1_all.deb Size: 6898 SHA256: 64177357eee6f7ee78eb01dda91c6727c789370851c697165f8153dc784b557c SHA1: 91e0a31cda5c95c4bf1c97a8c20c47db3f00e5af MD5sum: 7441821b3bd04e06759e8a26db5429a7 Description: Python module providing a NumPy-compatible lazily-evaluated array The 'larray' class is a NumPy-compatible numerical array where operations on the array (potentially including array construction) are not performed immediately, but are delayed until evaluation is specifically requested. Evaluation of only parts of the array is also possible. Consequently, use of an 'larray' can potentially save considerable computation time and memory in cases where arrays are used conditionally, or only parts of an array are used (for example in distributed computation, in which each MPI node operates on a subset of the elements of the array). Package: python-lda Source: lda Version: 1.0.2-9~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1267 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~nd80+1+nd90+1_i386.deb Size: 236582 SHA256: a6606d1b0617518d4f2f02d126fa38bb9a73042e12fac90b5c6d990ccfa9de28 SHA1: 60929a0a58b0788f497062ebcb90c7d0b984afd4 MD5sum: 4cf5ec25133b532ec416f582305691c8 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7380 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~nd80+1+nd90+1_all.deb Size: 4021650 SHA256: d0756158b44e6ab6c2d77d8b227ce7b0d221b8b7f90487150d5136e089e0fd7f SHA1: 3a606009686cd734193202abe37c9c9884b231df MD5sum: 438d89ab3fe0fe7488916f463a7b1b52 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-mpi4py Source: mpi4py Version: 1.3.1+hg20131106-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1496 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libhwloc5 (>= 1.11.0), libopenmpi1.6, python (>= 2.7), python (<< 2.8), mpi-default-bin Suggests: python-numpy Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: python Filename: pool/main/m/mpi4py/python-mpi4py_1.3.1+hg20131106-1~nd80+1+nd90+1_i386.deb Size: 309234 SHA256: b1037dad7e4ed9d087231e40864a1cf140bdf8d370771ad8aa3712c147a4954d SHA1: 2ec5ef835e3c596467de83861b69e42f15ee23a1 MD5sum: eae2938dcca743cfd03f2ad05d01ecd3 Description: bindings of the Message Passing Interface (MPI) standard MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). Package: python-mpi4py-dbg Source: mpi4py Version: 1.3.1+hg20131106-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2222 Depends: neurodebian-popularity-contest, python-mpi4py (= 1.3.1+hg20131106-1~nd80+1+nd90+1) Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: debug Filename: pool/main/m/mpi4py/python-mpi4py-dbg_1.3.1+hg20131106-1~nd80+1+nd90+1_i386.deb Size: 599824 SHA256: 4f2280acba5c718c05bc48d882dc605260e73ed0ca545251b0372236752414bc SHA1: 7a089b0c0cfb8024c82fcdeb6e06d925f6e655da MD5sum: 216045cdf503222e4aacc4f09218a00c Description: bindings of the MPI standard -- debug symbols MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). . This package provides debug symbols. Package: python-mpi4py-doc Source: mpi4py Version: 1.3.1+hg20131106-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 283 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Suggests: python-mpi4py Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: doc Filename: pool/main/m/mpi4py/python-mpi4py-doc_1.3.1+hg20131106-1~nd80+1+nd90+1_all.deb Size: 52626 SHA256: 3c641d61d815c02c5a59e9ec1a09bd1cd8b533676ce1a5680d6b271a57b11530 SHA1: 50db5f262d34c1b6eb93de57157972ef888355fe MD5sum: 138682e271a7ee24ff44b778bc40cefb Description: bindings of the MPI standard -- documentation MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). . This package provides HTML rendering of the user's manual. Package: python-msgpack Source: msgpack-python Version: 0.4.2-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 205 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python:any (>= 2.7.5-5~), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Breaks: msgpack-python (<< 0.3.0-1) Replaces: msgpack-python (<< 0.3.0-1) Provides: msgpack-python Homepage: http://pypi.python.org/pypi/msgpack-python/ Priority: optional Section: python Filename: pool/main/m/msgpack-python/python-msgpack_0.4.2-1~nd80+1+nd90+1_i386.deb Size: 57358 SHA256: 50672652f28fd4204025ed19ad9e99ec99b3ea9fa4f4c5bf7db4f0e2c5cd589b SHA1: 9fc8618437b1e2159b7944c75b1d1dc7c949e9f2 MD5sum: 551d3ccc814905d3c0e544997f6c7df4 Description: Python implementation of MessagePack format MessagePack is a binary-based efficient object serialization format. It enables the exchange of structured objects between many languages like JSON. But unlike JSON, it is very fast and small. . This package contains a Python extension module implementing the MessagePack format. Package: python-mvpa-lib Source: pymvpa Version: 0.4.8-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 127 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-support (>= 0.90.0), python-numpy Provides: python2.7-mvpa-lib Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa/python-mvpa-lib_0.4.8-1~nd70+1+nd90+1_i386.deb Size: 39280 SHA256: a8affbc010a92c640a72d016fc3dc0c967ac5d03816ac57d51bf0fc76b5107de SHA1: 00c38d532dbd113ad449c31f07ba6d8ae18d7b04 MD5sum: 127a98d926c13bad350e405ef02d5620 Description: low-level implementations and bindings for PyMVPA 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. Python-Version: 2.7 Package: python-mvpa2 Source: pymvpa2 Version: 2.4.0-1~nd90+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~nd90+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~nd90+1_all.deb Size: 5034172 SHA256: ae37b38f52f0b48c6bf68e1eede58f59e3554a9f4351dd35f92efb92527d5d99 SHA1: 7181390303989dc418b7459e4738f2542119b937 MD5sum: ca72c9f8d500dd4cae5468eedb29d1be 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 29062 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~nd90+1_all.deb Size: 4654180 SHA256: c95dfad2ccc38d2fb6a1fede3ea94ae229bd55189df14838066794e02cade753 SHA1: c5f00ff4b3e2eec654369ccadb228a3629b2ccb8 MD5sum: 27b35f45a7748d7fb164b73d661bea4d 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 115 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~nd90+1_i386.deb Size: 47280 SHA256: 8fe712e4941b6bfb3e2c2f0898f1358964b27ee54e0a39414dba762d135e43a6 SHA1: 881b4d2c6ca43f775e806fed706065b0c47ef140 MD5sum: 7dd0657dee9fd650c388e1e1d1f5a7ad 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-neo Source: neo Version: 0.3.3-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2974 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy (>= 1:1.3~), python-quantities (>= 0.9.0~) Recommends: python-scipy (>= 0.8~), python-tables (>= 2.2~), libjs-jquery, libjs-underscore Suggests: python-nose Homepage: http://neuralensemble.org/trac/neo Priority: extra Section: python Filename: pool/main/n/neo/python-neo_0.3.3-1~nd80+1+nd90+1_all.deb Size: 1383640 SHA256: 7e3b8dcf1a6e7c971437d744c5bb781a34c6272677f9760fd74d262f0f7e12b1 SHA1: 8c96c831525d26230be96771de115c7f2cb574d8 MD5sum: a1c098adc1493d4cd4f12a7c564a5508 Description: Python IO library for electrophysiological data formats NEO stands for Neural Ensemble Objects and is a project to provide common classes and concepts for dealing with electro-physiological (in vivo and/or simulated) data to facilitate collaborative software/algorithm development. In particular Neo provides: a set a classes for data representation with precise definitions, an IO module with a simple API, documentation, and a set of examples. . NEO offers support for reading data from numerous proprietary file formats (e.g. Spike2, Plexon, AlphaOmega, BlackRock, Axon), read/write support for various open formats (e.g. KlustaKwik, Elan, WinEdr, WinWcp, PyNN), as well as support common file formats, such as HDF5 with Neo-structured content (NeoHDF5, NeoMatlab). . Neo's IO facilities can be seen as a pure-Python and open-source Neuroshare replacement. Package: python-neuroshare Version: 0.9.2-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 80 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.8.0), python-numpy-abi9, python:any (>= 2.7.5-5~), python-h5py Homepage: http://www.g-node.org/neuroshare-tools Priority: extra Section: python Filename: pool/main/p/python-neuroshare/python-neuroshare_0.9.2-1~nd80+1+nd90+1_i386.deb Size: 20830 SHA256: 53a4768b8876a656938a34c20407ed4d3a044acf3875c552cf3e6c4df429f8be SHA1: 81c31015ce29c925d00fe8d7a92133b795d70403 MD5sum: 74c304e4cb7ddd2cbfc9e3ca7a2cd5a8 Description: Python interface and tools for Neuroshare The Neuroshare API is a standardized interface to access electrophysiology data stored in various different file formats. To do so, it uses format- specific shared libraries. . This package provides a high-level Python interface to the Neuroshare API that focuses on convenience for the user and enables access to all available metadata and data. The data is returned in NumPy arrays, which provides a quick route to further examination and analysis. . In addition, this package contains the ns2hdf converter tool that converts neuroshare-compatible files into the HDF5 (Hierarchical Data Format, ver. 5) file format. Package: python-neuroshare-doc Source: python-neuroshare Version: 0.9.2-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 271 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: http://www.g-node.org/neuroshare-tools Priority: extra Section: doc Filename: pool/main/p/python-neuroshare/python-neuroshare-doc_0.9.2-1~nd80+1+nd90+1_all.deb Size: 95554 SHA256: 2ce47764501482655bdadd0c5e71fb26ef3652e141cc6f493fa897afaec80e93 SHA1: ec00e3c7a84c81e3a4a3eae42b249b0aeb16078e MD5sum: 02d7853bc814b8e6df159b51b2685b81 Description: Python interface and tools for Neuroshare The Neuroshare API is a standardized interface to access electrophysiology data stored in various different file formats. To do so, it uses format- specific shared libraries. . This package provides a high-level Python interface to the Neuroshare API that focuses on convenience for the user and enables access to all available metadata and data. The data is returned in NumPy arrays, which provides a quick route to further examination and analysis. . In addition, this package contains the ns2hdf converter tool that converts neuroshare-compatible files into the HDF5 (Hierarchical Data Format, ver. 5) file format. . This package contains HTML documentation files for python-neuroshare. Package: python-nibabel Source: nibabel Version: 2.0.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 63384 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~nd90+1_all.deb Size: 1979544 SHA256: 94ad81f9fafd8128476bf2a82ac0af3de0b77f1b231c9a16a6b3bbf1319dd61b SHA1: b04c0cf2fe9a19b1826b325ec1e3d955e392d2d5 MD5sum: 7a18f0d4b0bc45152503f0717cde9588 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5611 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~nd90+1_all.deb Size: 2683508 SHA256: 442f366c9680fbe543d2f52805a7666b29fe5315a1a071823f87efdd4f60890d SHA1: 24e2d7f4730f52a7ffd052c210496ff9c3b57d26 MD5sum: 7f122ee5ab44d73d23f06196c271a428 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-nifti Source: pynifti Version: 0.20100607.1-4~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1140 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libnifti2, python (<< 2.8), python (>= 2.7), python-support (>= 0.90.0), python-numpy, libjs-jquery Provides: python2.7-nifti Homepage: http://niftilib.sourceforge.net/pynifti/ Priority: optional Section: python Filename: pool/main/p/pynifti/python-nifti_0.20100607.1-4~nd70+1+nd90+1_i386.deb Size: 256128 SHA256: 7ffb07c69498b8202f4693e81a1819b9830283719acea8330c6dbba0986aa864 SHA1: 19e894f350a4b63337c4f4948620ed9f86697b9b MD5sum: 764588759f38ca5bd1da70b59e57b20c Description: Python interface to the NIfTI I/O libraries Using PyNIfTI one can easily read and write NIfTI and ANALYZE images from within Python. The NiftiImage class provides Python-style access to the full header information. Image data is made available via NumPy arrays. Python-Version: 2.7 Package: python-nilearn Source: nilearn Version: 0.1.4+git3-g60d2a1b~dfsg.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1842 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.6), python-nibabel (>= 1.1.0), python:any (<< 2.8), python:any (>= 2.7.5-5~), python-scipy (>= 0.9), python-sklearn (>= 0.12.1) Recommends: python-matplotlib Provides: python2.7-nilearn Homepage: https://nilearn.github.io Priority: extra Section: python Filename: pool/main/n/nilearn/python-nilearn_0.1.4+git3-g60d2a1b~dfsg.1-1~nd90+1_all.deb Size: 634934 SHA256: b46d3630b7b3f66fe3802a1073443003205de209356522fe65ca3734a479552c SHA1: 7f653728d53498fd92d5c02fc5fb4326706a0e57 MD5sum: f7184560418464e027a92ea7132f3507 Description: fast and easy statistical learning on neuroimaging data This Python module leverages the scikit-learn toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis. Python-Version: 2.7 Package: python-nipy Source: nipy Version: 0.3.0+git262-gbb838d7-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3185 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~nd80+1+nd90+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~nd80+1+nd90+1_all.deb Size: 724228 SHA256: 6b7a48095dcfd24367acee0a5fee6ff54c39b914fff4cd4b9f184138ebb1e0b0 SHA1: 07defa82143344ef33689b077ad6b70e538a00b4 MD5sum: c736b2c0484f4c9ffe32ac49380239ef 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10844 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~nd80+1+nd90+1_all.deb Size: 3215602 SHA256: bb81791880acbbb409bb1d8148f9e8cc93e4dc9479741116ae7eabad945a266d SHA1: c9b0ba4f6e2ec1345510755f7042432dbe986539 MD5sum: f685e5c756759976203d2e838480f81c 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2762 Depends: neurodebian-popularity-contest, libblas3 | libblas.so.3, libc6 (>= 2.4), liblapack3 | liblapack.so.3, 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~nd80+1+nd90+1_i386.deb Size: 572224 SHA256: 439468e5ebba3419b5d8823055588e26b5a3e9d498616260469502a3cb4d86c5 SHA1: 32522f01cdc8a8e818aa00915f20edb8c77167a1 MD5sum: 479bd4373a471dd9377a3ab18afa4886 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3165 Depends: neurodebian-popularity-contest, libblas3 | libblas.so.3, libc6 (>= 2.4), liblapack3 | liblapack.so.3, 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~nd80+1+nd90+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~nd80+1+nd90+1_i386.deb Size: 441882 SHA256: 067e839e55987b96660876be43be80270a86924a2ca64240267b9d023eed6bd5 SHA1: 208c2b1726ea4a40a087a0fec6c110b07da4f90a MD5sum: 8bf186959ac14925798e055a376408fb 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-nipype Source: nipype Version: 0.10.0-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4924 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-scipy, python-simplejson, python-traits (>= 4.0) | python-traits4, python-nibabel (>= 1.0.0~), python-networkx (>= 1.3), python-cfflib Recommends: ipython, python-nose, graphviz Suggests: fsl, afni, python-nipy, slicer, matlab-spm8, python-pyxnat, mne-python, elastix, ants Provides: python2.7-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: python Filename: pool/main/n/nipype/python-nipype_0.10.0-1~nd80+1+nd90+1_all.deb Size: 1159012 SHA256: 47389f2c3e1917f0e256c94ce8b078e811ad64575b73adef04ec13d84e836bb9 SHA1: 33040ea7b98de6606bfc0820d6a881d4dc23e4cb MD5sum: f8c83a093eb027eb11f2d042d50cf3a5 Description: Neuroimaging data analysis pipelines in Python Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). Package: python-nipype-doc Source: nipype Version: 0.10.0-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 21382 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: doc Filename: pool/main/n/nipype/python-nipype-doc_0.10.0-1~nd80+1+nd90+1_all.deb Size: 8892266 SHA256: a789ed865f17a32439be5dbca7334f67afba4249cb8bada74764b8df60ae1409 SHA1: abbf7205295295f2e302b190865527a8b5b47767 MD5sum: 424e485e6df2f01bceb92b2a2614abab Description: Neuroimaging data analysis pipelines in Python -- documentation Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). . This package contains Nipype examples and documentation in various formats. Package: python-nitime Source: nitime Version: 0.5-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9381 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-numpy, python-scipy Recommends: python-matplotlib, python-nose, python-nibabel, python-networkx Homepage: http://nipy.org/nitime Priority: extra Section: python Filename: pool/main/n/nitime/python-nitime_0.5-1~nd80+1+nd90+1_all.deb Size: 2542980 SHA256: 4178606e8f6b3be286007ee192936a4b9d4d4d89b2751e7634cc11e6d157ebf8 SHA1: 0386f85a68e4043afa5533efeb5d15c8b5afba35 MD5sum: 8dccd4e9f388dbbeaf1ea6348a1172eb Description: timeseries analysis for neuroscience data (nitime) Nitime is a Python module for time-series analysis of data from neuroscience experiments. It contains a core of numerical algorithms for time-series analysis both in the time and spectral domains, a set of container objects to represent time-series, and auxiliary objects that expose a high level interface to the numerical machinery and make common analysis tasks easy to express with compact and semantically clear code. Package: python-nitime-doc Source: nitime Version: 0.5-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7830 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-nitime Homepage: http://nipy.org/nitime Priority: extra Section: doc Filename: pool/main/n/nitime/python-nitime-doc_0.5-1~nd80+1+nd90+1_all.deb Size: 5764054 SHA256: 9877e2db6bbfe2a130f1b6cabc59af1fd7e577f3140e95b1fb38f3af6a9806fd SHA1: 57527c7c6cceb9b658d9292817a5633dd675fa14 MD5sum: 9349ac0462dc08453091dca5cf806b2c Description: timeseries analysis for neuroscience data (nitime) -- documentation Nitime is a Python module for time-series analysis of data from neuroscience experiments. . This package provides the documentation in HTML format. Package: python-nlopt Source: nlopt Version: 2.4.1+dfsg-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 262 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd80+1+nd90+1), 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) Provides: python2.7-nlopt Homepage: http://ab-initio.mit.edu/wiki/index.php/NLopt Priority: optional Section: python Filename: pool/main/n/nlopt/python-nlopt_2.4.1+dfsg-1~nd80+1+nd90+1_i386.deb Size: 68336 SHA256: 9b14a0c0eab6c72a308b8cd5490839c08b69a0ba796069ac2543ca7ff236fd8c SHA1: a214ec92a61dbace8f1f331c04a6d44a0a86abfa MD5sum: 4c4fa9c09a55e4559ed33a1d00395529 Description: nonlinear optimization library -- Python bindings NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: . * Callable from C, C++, Fortran, GNU Octave, Python, GNU Guile, GNU R. * A common interface for many different algorithms * Support for large-scale optimization. * Both global and local optimization algorithms. * Algorithms using function values only (derivative-free) and also algorithms exploiting user-supplied gradients. * Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. . This package contains the Python bindings. Package: python-numexpr Source: numexpr Version: 1.4.2-1.2~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 467 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.8.0), python-numpy-abi9, python-support (>= 0.90.0), libc6 (>= 2.4) Homepage: http://code.google.com/p/numexpr/ Priority: optional Section: python Filename: pool/main/n/numexpr/python-numexpr_1.4.2-1.2~nd70+1+nd90+1_i386.deb Size: 102678 SHA256: 2c4c122fae078d723098ea9c13d208e4ec562c6e574103eef71d9c6f8b807214 SHA1: 9db7e3911d9f6ee65beeaa0b7dfbe4e02a241f06 MD5sum: 62b31914a7ee0199f0c0647137ac8bc2 Description: Numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It's the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. Package: python-openopt Source: openopt Version: 0.38+svn1589-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1065 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0), python-numpy Recommends: python-scipy, python-cvxopt, python-matplotlib, python-setproctitle Suggests: lp-solve Conflicts: python-scikits-openopt Replaces: python-scikits-openopt Provides: python2.7-openopt Homepage: http://www.openopt.org Priority: extra Section: python Filename: pool/main/o/openopt/python-openopt_0.38+svn1589-1~nd70+1+nd90+1_all.deb Size: 179826 SHA256: e289031fd70e3234dd9bf775fda6ce9332235b63580fc3f21d95f5bf7d2ae59d SHA1: 0b6e1f2a56ea52c4ec110effc58bdb067c8a9887 MD5sum: bdffb8b3128e6731bf3a3af978b2667b Description: Python module for numerical optimization Numerical optimization framework developed in Python which provides connections to lots of solvers with easy and unified OpenOpt syntax. Problems which can be tackled with OpenOpt * Linear Problem (LP) * Mixed-Integer Linear Problem (MILP) * Quadratic Problem (QP) * Non-Linear Problem (NLP) * Non-Smooth Problem (NSP) * Non-Linear Solve Problem (NLSP) * Least Squares Problem (LSP) * Linear Least Squares Problem (LLSP) * Mini-Max Problem (MMP) * Global Problem (GLP) . A variety of solvers is available (e.g. IPOPT, ALGENCAN). Python-Version: 2.7 Package: python-openpyxl Source: openpyxl Version: 2.3.0~b1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1257 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~nd90+1_all.deb Size: 190320 SHA256: c5e4a89721b7d8c7784051857caf08786c0e6c8f4b602dba09fdcb76eda822b1 SHA1: c07d605f648784fd8bc07d040e680e92b381fa7a MD5sum: 7560532dcd19316950631a405a0ef8bd 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10737 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~nd90+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~nd90+1_all.deb Size: 1501314 SHA256: 19bab76ecb03403d94b39eb100d25b70d4cab8c91e6750a2dfcfcc7b38161bfd SHA1: a3f230c9145adc307a6068d666e7698554df505d MD5sum: 25455bde8165bedec5e57ff77857231a 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 39323 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~nd90+1_all.deb Size: 6940600 SHA256: 23e12afc4dbb84ae1d93f1b534fddf75937450174d7589de32020ad1fed1f5aa SHA1: 1a6585a8ec330cb8a940e25c31d9e5c4e06ceec3 MD5sum: dfa5a18117553ee5deb34654ad96314c 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6634 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) 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~nd90+1_i386.deb Size: 1583838 SHA256: 6285c216fe452bfde2d13d6698e0e51a102ea5f90e4c1e8ea2dfd81708704bfe SHA1: 30ad4310ede2ab7c92ed43dba09e88ad341554cd MD5sum: 4d784c9a55d9d29ca34fbfbc55392667 Description: low-level implementations and bindings for pandas This is an add-on package for python-pandas providing architecture-dependent extensions. . This package contains the Python 2 version. Python-Version: 2.7 Package: python-patsy Source: patsy Version: 0.4.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 784 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-six, python-numpy Recommends: python-pandas, python-openpyxl Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python-patsy_0.4.0-1~nd90+1_all.deb Size: 171686 SHA256: 0099503d4e31fc7b3f23aa298a8bd17316fc784e6a6c0b237772ad3c39d86302 SHA1: 82a7ff1b15f713571666378900764211bdcc1e2c MD5sum: 2f5414259b0ed690bc9609fab96d0511 Description: statistical models in Python using symbolic formulas patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design matrices. . This package contains the Python 2 version. Package: python-patsy-doc Source: patsy Version: 0.4.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1382 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-patsy Homepage: http://github.com/pydata/patsy Priority: optional Section: doc Filename: pool/main/p/patsy/python-patsy-doc_0.4.0-1~nd90+1_all.deb Size: 361540 SHA256: 8c8c80752048c2351288c4eb8194580240388b6a63b6f0832ab38390b0f4eb29 SHA1: 052cd6df5eec534660ab5acc5511729f2250e95c MD5sum: fe096c941e8ea1a7e6209c935b2b7893 Description: documentation and examples for patsy This package contains documentation and example scripts for python-patsy. Package: python-pp Source: parallelpython Version: 1.6.2-2~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 143 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0) Homepage: http://www.parallelpython.com/ Priority: optional Section: python Filename: pool/main/p/parallelpython/python-pp_1.6.2-2~nd70+1+nd90+1_all.deb Size: 28994 SHA256: 9d2b9bc5a9f1f2f7ab2c1f65d14edab85d349c71f7c32d5b03a8a84752927571 SHA1: 9a77e4793d44f572146a67eaa8af06f5e2be9bc4 MD5sum: 7b25f8fbdf69d07695113ddb51235f8d Description: parallel and distributed programming toolkit for Python Parallel Python module (pp) provides an easy and efficient way to create parallel-enabled applications for SMP computers and clusters. pp module features cross-platform portability and dynamic load balancing. Thus application written with PP will parallelize efficiently even on heterogeneous and multi-platform clusters (including clusters running other application with variable CPU loads). Python-Version: 2.7 Package: python-pprocess Source: pprocess Version: 0.5-1+nd0~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 758 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~nd80+1+nd90+1_all.deb Size: 81664 SHA256: 5327d46e6e8873ff262f9d40181b5169ac4a2173b18c195b572732169a7dcce2 SHA1: 4e7bc21bf1dadeb4014e694348397dd906b8cff6 MD5sum: cf0bced2928e4ed9c897e2a3c2d0afac 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-psutil Version: 2.1.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 576 Depends: neurodebian-popularity-contest, libc6 (>= 2.13), python (<< 2.8), python (>= 2.7~), python:any (>= 2.7.5-5~) Homepage: http://code.google.com/p/psutil/ Priority: optional Section: python Filename: pool/main/p/python-psutil/python-psutil_2.1.1-1~nd80+1+nd90+1_i386.deb Size: 116630 SHA256: 9e22dfd5a4aa79d73d73ab985dd72938c77238807386109a860ad993b8850a0b SHA1: 39492a4b458daed1ffe9037c405e37dbbb31bf46 MD5sum: 2adaca853f02b315d7f69deccecd4085 Description: module providing convenience functions for managing processes psutil is a module providing an interface for retrieving information on running processes and system utilization (CPU, memory) in a portable way by using Python, implementing many functionalities offered by tools like ps, top and Windows task manager. . It currently supports Linux, OS X, FreeBSD and Windows. Package: python-py Version: 1.4.30-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 306 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-pkg-resources Suggests: subversion, python-pytest, python-pytest-xdist Homepage: https://bitbucket.org/pytest-dev/py Priority: optional Section: python Filename: pool/main/p/python-py/python-py_1.4.30-1~nd90+1_all.deb Size: 66758 SHA256: ec883a7d749a52c460f40bd5d98807df52000a97f138f047bc2dacbc790060cf SHA1: 26148d6657c97312e4b59fdbd1ff62235d49f052 MD5sum: bb113a6f468da35a8aa8339a767709fb Description: Advanced Python development support library (Python 2) The Codespeak py lib aims at supporting a decent Python development process addressing deployment, versioning and documentation perspectives. It includes: . * py.path: path abstractions over local and Subversion files * py.code: dynamic code compile and traceback printing support . This package provides the Python 2 modules. Package: python-pyentropy Source: pyentropy Version: 0.4.1-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 91 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0), python-numpy (>= 1.3) Recommends: python-scipy Suggests: python-nose Provides: python2.7-pyentropy Homepage: http://code.google.com/p/pyentropy Priority: extra Section: python Filename: pool/main/p/pyentropy/python-pyentropy_0.4.1-1~nd70+1+nd90+1_all.deb Size: 19484 SHA256: 90a65872dff84dfdd9080faae4df963e355d03c4f5c818b6dee37ae7265c8dd5 SHA1: 41cee054cc47be20e73203718874a5aae00fc35e MD5sum: e90627411895dd8862ef69d2670d0968 Description: Python module for estimation information theoretic quantities A Python module for estimation of entropy and information theoretic quantities using cutting edge bias correction methods, such as * Panzeri-Treves (PT) * Quadratic Extrapolation (QE) * Nemenman-Shafee-Bialek (NSB) Python-Version: 2.7 Package: python-pyepl Source: pyepl Version: 1.1.0+git12-g365f8e3-2~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1409 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-pyepl-common (= 1.1.0+git12-g365f8e3-2~nd80+1+nd90+1), python-numpy, python-imaging, python-pygame, python-pyode, python-opengl, ttf-dejavu, libasound2 (>= 1.0.16), 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~nd80+1+nd90+1_i386.deb Size: 273972 SHA256: 914905818c47be26ec10de40c62597e328fa3be658cb2d2f944731e040fdafca SHA1: 49349917ba6845074ebb71f9b365788b7690f722 MD5sum: 2d100812a307d7c0c5e8c162ec6a0de3 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 822 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~nd80+1+nd90+1_all.deb Size: 819326 SHA256: 3bb7c4a8afd71f527affe1dc9fc35cc8767aebfb4a22ca35c975346202ccfd15 SHA1: b65162864b6ef1f6b6f21f3a81b7221a8d9f5e6f MD5sum: ae5bd1ef9c1dcee42bc9e64308126c62 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2712 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, libblas3 | libblas.so.3, libc6 (>= 2.11), libgcc1 (>= 1:4.1.1), libgfortran3 (>= 4.6), liblapack3 | liblapack.so.3, libquadmath0 (>= 4.6), 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~nd80+1+nd90+1_i386.deb Size: 526532 SHA256: 93bbc2d0cc6305d4b091beae807dc7f6c6175078c83cbdaa31ad6782b6cd3cf7 SHA1: f0e88860d4186c881b3ed991af7775863aeb0b4a MD5sum: 2afd9f51f892697633ba5d87bb64044e 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1894 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~nd80+1+nd90+1_all.deb Size: 839788 SHA256: af2ce4bafd9fe4585d82802881bc4a1ceb28e9076d529d7cc57ac90478281dd4 SHA1: 9f2d1b73a0c55bd49be8229926cc64a9e63a88e3 MD5sum: ad1e1963e2b23c06beb3c6fa20c513e1 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~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 832 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~nd70+1+nd90+1_all.deb Size: 137374 SHA256: 370ece10f2dd605fc721d1d7d7efb38db0d4c150a969f9a7788b0a18ac0d2eaf SHA1: a9207324cee6efc6f2830f3af2faa6a2a930d723 MD5sum: fe3284f568042b1fe19972884b23c76a 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1564 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~nd70+1+nd90+1_i386.deb Size: 334146 SHA256: 0e8a279c8260b6ac9d12485a92958ae9b5734138dca512d230ef84a93319d17d SHA1: 0a037709d51dbb308bf59c2a51da5e71887fb2fa MD5sum: 2b0594e89ad065934d5807da44d0e615 Description: psychometric analysis of psychophysics data in Python Psignifit allows fitting of psychometric functions to datasets while maintaining full control over a large number of parameters. Psignifit performs the calculation of confidence intervals as well as goodness-of-fit tests. In addition it offers: . * full Bayesian treatment of psychometric functions including Bayesian model selection and goodness of fit assessment * identification of influential observations and outlier detection * flexible shape definition of the psychometric function . This package provides the Python bindings. Package: python-pytest Source: pytest Version: 2.7.2-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 493 Depends: neurodebian-popularity-contest, python-pkg-resources, python-py (>= 1.4.29), python, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-mock (>= 1.0.1) Homepage: http://pytest.org/ Priority: optional Section: python Filename: pool/main/p/pytest/python-pytest_2.7.2-2~nd90+1_all.deb Size: 132284 SHA256: 6ff620a9324dfeb8189fd224f82cfb8087002fe8dec53cd02815d6ad52e52077 SHA1: e469a272602f058e45ba3c0612c1fa38d05df811 MD5sum: f47c8d1731b85f0e39dac9574910fccc Description: Simple, powerful testing in Python This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. Package: python-pytest-doc Source: pytest Version: 2.7.2-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3002 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Recommends: python-pytest | python3-pytest Homepage: http://pytest.org/ Priority: optional Section: doc Filename: pool/main/p/pytest/python-pytest-doc_2.7.2-2~nd90+1_all.deb Size: 431304 SHA256: 652b8e09afc3715c2883b10e7e1ce2cc46f236542c0ec4228d4d65b7533f0905 SHA1: 26ceb27b3c48e7c051a73a90d54b98f8c5f11912 MD5sum: b947df3994d1953e2a0755781e9b0e21 Description: Simple, powerful testing in Python - Documentation This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. . This package contains the documentation for pytest. Package: python-pytest-localserver Source: pytest-localserver Version: 0.3.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59 Depends: neurodebian-popularity-contest, python-pytest, python-werkzeug (>= 0.10), python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://pypi.python.org/pypi/pytest-localserver Priority: optional Section: python Filename: pool/main/p/pytest-localserver/python-pytest-localserver_0.3.4-1~nd90+1_all.deb Size: 18152 SHA256: 09ff67eba0f36d2f5bb0a405300bd4aa4315eb9a75a9fac48fd57a187c9d64f0 SHA1: 71b04f6861c66ac85684d5c7f0b0d233a60ff8df MD5sum: db59b4614f943159b2537882aabd2474 Description: py.test plugin to test server connections locally (Python 2) pytest-localserver is a plugin for the Pytest testing framework which enables to test server connections locally. . This package contains the modules for Python 2. Package: python-pytest-tornado Source: pytest-tornado Version: 0.4.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python-pytest, python-tornado, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/eugeniy/pytest-tornado Priority: optional Section: python Filename: pool/main/p/pytest-tornado/python-pytest-tornado_0.4.4-1~nd90+1_all.deb Size: 5658 SHA256: 2baad3999ed0fc99b2329ebc1285fb06d5a94d4dfec4d619613979b24eb68a26 SHA1: fbbac0c1dd798a073e540e8f99e02174beb1450b MD5sum: 374e5ad6bb5047154499315f47d46017 Description: py.test plugin to test Tornado applications pytest-tornado is a plugin for the Pytest testing framework which provides fixtures and markers to simplify testing of Tornado applications (Python web framework and ansynchronous networking library). . This package contains the plugin for Python 2 code. Package: python-pyxid Source: pyxid Version: 1.0-1~nd+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0) Homepage: https://github.com/cedrus-opensource/pyxid Priority: optional Section: python Filename: pool/main/p/pyxid/python-pyxid_1.0-1~nd+1+nd90+1_all.deb Size: 10358 SHA256: e2db09bf0e002d89bb3690e59e5bc46747809822675915da6e28646cedddf5f2 SHA1: 431b7f4e71d4a33d6687832ccbef84848c4fd2bc MD5sum: 93daf5487203df271ed363dc65e968d0 Description: interface for Cedrus XID and StimTracker devices pyxid is a Python library for interfacing with Cedrus XID (eXperiment Interface Device) and StimTracker devices. XID devices are used in software such as SuperLab, Presentation, and ePrime for receiving input as part of stimulus/response testing experiments. . pyxid handles all of the low level device handling for XID devices in Python projects. Package: python-quantities Version: 0.10.1-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 321 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy (>= 1.4) Homepage: http://packages.python.org/quantities/ Priority: extra Section: python Filename: pool/main/p/python-quantities/python-quantities_0.10.1-1~nd70+1+nd90+1_all.deb Size: 51442 SHA256: bfacf89e8ba78fd59315adc47dd03899f4b4594354eafbb38bbe186128958b1a SHA1: 53773551206da3c1249b9d38cf0ee65a40b9d6c4 MD5sum: 5e0cd9e39a08b2233b4ede2ab7e5eb72 Description: Library for computation of physical quantities with units, based on numpy Quantities is designed to handle arithmetic and conversions of physical quantities, which have a magnitude, dimensionality specified by various units, and possibly an uncertainty. Quantities builds on the popular numpy library and is designed to work with numpy ufuncs, many of which are already supported. Package: python-scikits-learn Source: scikit-learn Version: 0.16.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 58 Depends: neurodebian-popularity-contest, python-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: oldlibs Filename: pool/main/s/scikit-learn/python-scikits-learn_0.16.1-2~nd90+1_all.deb Size: 47806 SHA256: 3f80bee4269be55aeffa50f0aab45ffcdc2573685b3c1b283bd9695af709a924 SHA1: 742866ad430b7b2a7bc0d2019e31d9f353e62195 MD5sum: b606910614dadd819bf9f7ed408d683d 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-scikits.statsmodels Source: statsmodels Version: 0.6.1-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 17 Depends: neurodebian-popularity-contest, python-statsmodels Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: oldlibs Filename: pool/main/s/statsmodels/python-scikits.statsmodels_0.6.1-1~nd80+1+nd90+1_all.deb Size: 6130 SHA256: 14c152e3d33f957bbfb131feb4b7f3b7635e8c951deaaa0bc14f4f61e201dd5f SHA1: aa7c9553756ceae24e09c14cb0896f3c2f47c7f0 MD5sum: ea75505ebffde41bf933adf8b994a3a9 Description: transitional compatibility package for statsmodels migration Provides old namespace (scikits.statsmodels) and could be removed if dependent code migrated to use statsmodels for clarity of the namespace. Package: python-scrapy Version: 1.0.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 978 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~nd90+1_all.deb Size: 174236 SHA256: 7ec60aa70592d4df6ebd15244889d07c06a2b091f8ca31586f20a5424c7e9423 SHA1: cb6eaf960a003969b4a731c09797665b98bd89aa MD5sum: a3b5e7741043e3e4820bef2201cbd2e9 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7068 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~nd90+1_all.deb Size: 1521014 SHA256: ba2d75e9e95374fd122fe20707688a53a48b32f900d7bba1f125a7e81ea7aabf SHA1: 49868f4270f26288a915221b95bbff3c7d4a31cb MD5sum: a66b3b692688309550edf0a45de5f933 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-simplegeneric Source: simplegeneric Version: 0.7-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 34 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0) Provides: python2.7-simplegeneric Homepage: http://pypi.python.org/pypi/simplegeneric Priority: extra Section: python Filename: pool/main/s/simplegeneric/python-simplegeneric_0.7-1~nd70+1+nd90+1_all.deb Size: 9264 SHA256: 15a747617db233795675c1aa67ca9de17cd9e13af6912664e0b88eca1ddc6ddf SHA1: 94c949ff1fa89b6d155fa03308f301354c498766 MD5sum: 8594dcbe5f67eccd178894087d1d54e8 Description: Simple generic functions for Python The simplegeneric module lets you define simple single-dispatch generic functions, akin to Python's built-in generic functions like len(), iter() and so on. However, instead of using specially-named methods, these generic functions use simple lookup tables, akin to those used by e.g. pickle.dump() and other generic functions found in the Python standard library. Package: python-sklearn Source: scikit-learn Version: 0.16.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4719 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-numpy, python-scipy, python-sklearn-lib (>= 0.16.1-2~nd90+1), python-joblib (>= 0.4.5) Recommends: python-nose, python-matplotlib Suggests: python-dap, python-scikits-optimization, python-sklearn-doc, ipython Enhances: python-mdp, python-mvpa2 Breaks: python-scikits-learn (<< 0.9~) Replaces: python-scikits-learn (<< 0.9~) Provides: python2.7-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-sklearn_0.16.1-2~nd90+1_all.deb Size: 1111668 SHA256: 6de677d549b0f8693a1b482a295a4aeed0ffe1bf3178792711bfd9b797af9ebe SHA1: e54a0e186255af7260949b74c5bb90cf00686164 MD5sum: 35acc2110e78e0a0ac96508bd4db9788 Description: Python modules for machine learning and data mining scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) Package: python-sklearn-doc Source: scikit-learn Version: 0.16.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24740 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-sklearn Conflicts: python-scikits-learn-doc Replaces: python-scikits-learn-doc Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: doc Filename: pool/main/s/scikit-learn/python-sklearn-doc_0.16.1-2~nd90+1_all.deb Size: 3961628 SHA256: 5358c1ede3ed22d808c9b69329aa297236e1c30967de68bbc217023eb45126da SHA1: 985797eaa1541ec45bdccf82785c72ad8b9f5165 MD5sum: 6f1d6db82c9f18adb433dd72a7ad8977 Description: documentation and examples for scikit-learn This package contains documentation and example scripts for python-sklearn. Package: python-sklearn-lib Source: scikit-learn Version: 0.16.1-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4839 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 (<< 2.8), python (>= 2.7~) Conflicts: python-scikits-learn-lib Replaces: python-scikits-learn-lib Provides: python2.7-sklearn-lib Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-sklearn-lib_0.16.1-2~nd90+1_i386.deb Size: 1031704 SHA256: 24896f296819dede436ed48abe9ee5a2fe3e34bd49112ab874faea345577ebbd SHA1: ed5856c5a6aea39ab1d35e29aa934a2d539ceb4b MD5sum: 8efa9b17f5e0b7b7d4b2a001b326c5e9 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 91 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~nd80+1+nd90+1_all.deb Size: 19908 SHA256: 4f3a938e3cd5d842366c6e5a2f57a5d493444be2b8867c65446516c2a9c68ce7 SHA1: a0c276a4b42578636b352bcd7ff10100d321f4e3 MD5sum: dc9c19db53e54d317da33ca8bde8197d 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 Source: sphinx Version: 1.0.7-2~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3602 Depends: neurodebian-popularity-contest, python (>= 2.4), python-support (>= 0.90.0), python-docutils (>= 0.5), python-pygments (>= 0.8), python-jinja2 (>= 2.2), libjs-jquery Recommends: python (>= 2.6) | python-simplejson, python-imaging Suggests: jsmath Homepage: http://sphinx.pocoo.org/ Priority: optional Section: python Filename: pool/main/s/sphinx/python-sphinx_1.0.7-2~nd70+1+nd90+1_all.deb Size: 1039184 SHA256: c0343e0061b8ee91e77c7ae4929f848936635d296d62555c27663d36bef902c1 SHA1: b0ebef92fc597a739bc948e7cee12df496a8aefe MD5sum: d1a38c525e04f208e5c87ceb4cbb58a8 Description: tool for producing documentation for Python projects Sphinx is a tool for producing documentation for Python projects, using reStructuredText as markup language. . Sphinx features: * HTML, CHM, LaTeX output, * Cross-referencing source code, * Automatic indices, * Code highlighting, using Pygments, * Extensibility. Existing extensions: - automatic testing of code snippets, - including doctrings from Python modules. Package: python-sphinx-rtd-theme Source: sphinx-rtd-theme Version: 0.1.8-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 359 Depends: neurodebian-popularity-contest, fonts-font-awesome, fonts-lato, libjs-modernizr, python:any (<< 2.8), python:any (>= 2.7.5-5~) 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~nd90+1_all.deb Size: 117144 SHA256: eab67c48e24b93cff0b649e5a427eb10c52aa359d3a4fd74ea6cd4b069a9e95c SHA1: 34abec450f80ae0621d2647f38fddacebc0e09ef MD5sum: cc42c408e9505fba4fe618b6df197db5 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-spyderlib Source: spyder Version: 2.2.5+dfsg-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4197 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), libjs-sphinxdoc (>= 1.0), libjs-jquery, libjs-mathjax, python-qt4 Recommends: ipython-qtconsole, pep8, pyflakes (>= 0.5.0), pylint, python-matplotlib, python-numpy, python-psutil (>= 0.3.0), python-rope, python-scipy, python-sphinx Suggests: tortoisehg, gitk Breaks: spyder (<< 2.0.12-1) Replaces: spyder (<< 2.0.12-1) Provides: python2.7-spyderlib Homepage: http://code.google.com/p/spyderlib/ Priority: extra Section: python Filename: pool/main/s/spyder/python-spyderlib_2.2.5+dfsg-1~nd80+1+nd90+1_all.deb Size: 1647356 SHA256: b4a2d401e100aa223d1cd764287958b07aae66471c4bc8b0f81cb56b4592f175 SHA1: 29ea7e0b238e8c437fb77ce4c5a77a910856a7b2 MD5sum: 46e38b5131ab14d5811e5b6e8ecfe690 Description: python IDE for scientists Originally written to design Spyder (the Scientific PYthon Development EnviRonment), the spyderlib Python library provides ready-to-use pure-Python widgets: source code editor with syntax highlighting and code introspection/analysis features, NumPy array editor, dictionary editor, Python console, etc. It's based on the Qt Python binding module PyQt4 (and is compatible with PySide since v2.2). Package: python-spykeutils Source: spykeutils Version: 0.4.1-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2063 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-scipy, python-quantities, python-neo (>= 0.2.1), python-nose, python-sphinx Recommends: python-guidata, python-guiqwt, python-tables, libjs-jquery, libjs-underscore, python-sklearn (>= 0.11), python-joblib (>= 0.4.5) Provides: python2.7-spykeutils Homepage: https://github.com/rproepp/spykeutils Priority: extra Section: python Filename: pool/main/s/spykeutils/python-spykeutils_0.4.1-1~nd80+1+nd90+1_all.deb Size: 306366 SHA256: 54f16aa9aae0e04213ef62a6da64edf887e6ce04ea85897dc1029687034a2b5b SHA1: 5d399820c3954d54a2b0ab16509b0a2aeff7d167 MD5sum: d141c2690d36ce705abbd284ba226bc1 Description: utilities for analyzing electrophysiological data spykeutils is a Python library for analyzing and plotting data from neurophysiological recordings. It can be used by itself or in conjunction with Spyke Viewer, a multi-platform GUI application for navigating electrophysiological datasets. Package: python-statsmodels Source: statsmodels Version: 0.6.1-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13052 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy, python-scipy, python-statsmodels-lib (>= 0.6.1-1~nd80+1+nd90+1), python-patsy Recommends: python-pandas, python-matplotlib, python-nose, python-joblib, python-cvxopt Suggests: python-statsmodels-doc Conflicts: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Replaces: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Provides: python2.7-statsmodels Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: python Filename: pool/main/s/statsmodels/python-statsmodels_0.6.1-1~nd80+1+nd90+1_all.deb Size: 2568752 SHA256: 693c35635920eaa1e3b294a7f878c2101e94d4dd4c03cafb8b64d5ee5d555896 SHA1: 3126fcf7e2081751d0f193f47b003860065e5fd7 MD5sum: 09c02024043dcdf9d3a40e127736ae65 Description: Python module for the estimation of statistical models statsmodels Python module provides classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem. Package: python-statsmodels-doc Source: statsmodels Version: 0.6.1-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 46850 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-statsmodels Conflicts: python-scikits-statsmodels-doc, python-scikits.statsmodels-doc Replaces: python-scikits-statsmodels-doc, python-scikits.statsmodels-doc Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: doc Filename: pool/main/s/statsmodels/python-statsmodels-doc_0.6.1-1~nd80+1+nd90+1_all.deb Size: 11620476 SHA256: 68283825798fd3cf12421873e7c4d7a8066d37454f05c0f7b46d58d689eb62a5 SHA1: 4bf6b88bab1a09f8c347e1e9f272066602e2b026 MD5sum: 062bb026c8bdaee126a4da8a07ace314 Description: documentation and examples for statsmodels This package contains HTML documentation and example scripts for python-statsmodels. Package: python-statsmodels-lib Source: statsmodels Version: 0.6.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 434 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, python (>= 2.7), python (<< 2.8), libc6 (>= 2.4) Conflicts: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Replaces: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: python Filename: pool/main/s/statsmodels/python-statsmodels-lib_0.6.1-1~nd80+1+nd90+1_i386.deb Size: 84878 SHA256: 22975794fafdf063884d4cfc8461cbf978d138b0c219dbfa529f4fea4ffb7ef2 SHA1: 903d33c19a51f0703bc74adbb66b8a91460ee606 MD5sum: 853810f4e92c0fb030c53099452d4004 Description: low-level implementations and bindings for statsmodels This package contains architecture dependent extensions for python-statsmodels. Package: python-stfio Source: stimfit Version: 0.14.10-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 915 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), libhdf5-8, 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~nd90+1_i386.deb Size: 315014 SHA256: ed089873ded0e45b72956609f7d20850a3b3e0dc951ce2366d28718e0281aa60 SHA1: 31c46ddc2654bcc76a7f0cbcf74fd4f95278d7b3 MD5sum: 7671425758c92c8f02b20f4c47100cd3 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 180 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~nd80+1+nd90+1_all.deb Size: 39598 SHA256: 7a5b2cecd134b49b18a9bbbad2feae578e679dc906a3932548d8236b0680a56c SHA1: 70f9f52a803873f9e6e46e23e4aeee052d786ab2 MD5sum: b54cd1c369e677a6939753a01de476ea 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-tornado Version: 2.1.0-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 752 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-pycurl, ca-certificates Recommends: python-mysqldb Homepage: http://www.tornadoweb.org/ Priority: optional Section: python Filename: pool/main/p/python-tornado/python-tornado_2.1.0-1~nd70+1+nd90+1_i386.deb Size: 162986 SHA256: cd61ccb2be99a6f4e8458950286f5464c52ff1d5ff766930bdb523eb340d83dc SHA1: dc2e3c9a4369b2314be4566dcdc99236a188e1bf MD5sum: 4ddc7402ad42c42f3bc4655a021dca44 Description: scalable, non-blocking web server and tools Tornado is an open source version of the scalable, non-blocking web server and tools that power FriendFeed. The FriendFeed application is written using a web framework that looks a bit like web.py or Google's webapp, but with additional tools and optimizations to take advantage of the underlying non-blocking infrastructure. Package: python-traits4 Source: python-traits Version: 4.0.0-1~cbp0~nd70+1+nd90+1 Architecture: i386 Bugs: mailto:bugs@neuro.debian.net Maintainer: Debian Python Modules Team Installed-Size: 1787 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python (<< 2.8), python (>= 2.7), python-support (>= 0.90.0) Suggests: python-traitsui Conflicts: python-traits (>= 4.0~) Homepage: http://pypi.python.org/pypi/traits Priority: optional Section: python Filename: pool/main/p/python-traits/python-traits4_4.0.0-1~cbp0~nd70+1+nd90+1_i386.deb Size: 274540 SHA256: 9e3be6e99fd4e7f4f5b922275bd8006b0f6eb0aa3f3a82cd630443f28efcda43 SHA1: 45498a5a5dabf9e1aeeb3f8a86b7958437b6e67b MD5sum: cfbb6e2748cba94f603c535c69b662ad Description: Manifest typing and reactive programming for Python The traits package provides a metaclass with special attributes that are called traits. A trait is a type definition that can be used for normal Python object attributes, giving the attributes some additional characteristics: * Initialization: A trait attribute can have a default value * Validation: A trait attribute is manifestly typed. * Delegation: The value of a trait attribute can be contained in another object * Notification: Setting the value of a trait attribute can fired callbacks * Visualization: With the TraitsUI package, GUIs can be generated automatically from traited objects. Uploaders: Varun Hiremath Vcs-Browser: http://svn.debian.org/viewsvn/python-modules/packages/python-traits/trunk/ Vcs-Svn: svn://svn.debian.org/python-modules/packages/python-traits/trunk Package: python-tz Version: 2012c-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 138 Depends: neurodebian-popularity-contest, tzdata, python (>= 2.7), python (<< 2.8) Homepage: http://pypi.python.org/pypi/pytz/ Priority: optional Section: python Filename: pool/main/p/python-tz/python-tz_2012c-1~nd70+1+nd90+1_all.deb Size: 34052 SHA256: 183fa2c4d83c7b02405c5f9101694d4d85961edf4bcee6dba215e9e20b67d8cb SHA1: 8c91f1d29e858933f13fea6bdaf815c0890e1850 MD5sum: ceac8a71c4038ba6e4f4c78a07232199 Description: Python version of the Olson timezone database python-tz brings the Olson tz database into Python. This library allows accurate and cross platform timezone calculations using Python 2.3 or higher. It also solves the issue of ambiguous times at the end of daylight savings, which you can read more about in the Python Library Reference (datetime.tzinfo). Package: python-visionegg Source: visionegg Version: 1.2.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1804 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgl1-mesa-glx, python-numpy (>= 1:1.8.0), python-numpy-abi9, python (>= 2.7), python (<< 2.8) Homepage: http://www.visionegg.org Priority: optional Section: python Filename: pool/main/v/visionegg/python-visionegg_1.2.1-1~nd80+1+nd90+1_i386.deb Size: 601338 SHA256: dc4ce579a1f2fe1b569262fab8031653d4396a8d44ab419da89a96e6c47c9f47 SHA1: 2d138944a38e9b34d191e68ec22f72525b5d3926 MD5sum: df120836567be9a6cd3ac6220fdefe05 Description: Python library for 2D/3D visual stimulus generation The Vision Egg is a programming library that uses standard, inexpensive computer graphics cards to produce visual stimuli for vision research experiments. Package: python-vtk-dicom Source: vtk-dicom Version: 0.5.5-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 505 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libpython2.7 (>= 2.7), libstdc++6 (>= 4.1.1), libvtk-dicom0.5, libvtk5.8, python-vtk Provides: python2.7-vtk-dicom Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: python Filename: pool/main/v/vtk-dicom/python-vtk-dicom_0.5.5-2~nd90+1_i386.deb Size: 91382 SHA256: 0b4be0f80b93da58b9ad9fdd429cd213fbf4ea4628255d4b9e56e8dd2cf976bb SHA1: ff7e05429f49cc89e0abe44b918ee007f1082d6f MD5sum: 77e454eec665d6aace333a2cd818be75 Description: DICOM for VTK - python This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Python 2.x bindings Package: python-w3lib Version: 1.11.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59 Depends: neurodebian-popularity-contest, python-six (>= 1.6.1), python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://pypi.python.org/pypi/w3lib Priority: optional Section: python Filename: pool/main/p/python-w3lib/python-w3lib_1.11.0-1~nd90+1_all.deb Size: 14104 SHA256: 85ac8e1aa7d2bed41025a2c9b343b8002bc057f78290f03c709e6fc940d1a633 SHA1: c22e5a569842cc69a1b33afea2a6936cba76ba60 MD5sum: e355ae8758f67732c9dafe97e3f34885 Description: Collection of web-related functions for Python (Python 2) Python module with simple, reusable functions to work with URLs, HTML, forms, and HTTP, that aren’t found in the Python standard library. . This module is used to, for example: - remove comments, or tags from HTML snippets - extract base url from HTML snippets - translate entites on HTML strings - encoding mulitpart/form-data - convert raw HTTP headers to dicts and vice-versa - construct HTTP auth header - RFC-compliant url joining - sanitize urls (like browsers do) - extract arguments from urls . The code of w3lib was originally part of the Scrapy framework but was later stripped out of Scrapy, with the aim of make it more reusable and to provide a useful library of web functions without depending on Scrapy. . This is the Python 2 version of the package. Package: python-werkzeug Version: 0.10.4+dfsg1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 765 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), libjs-jquery Recommends: python-simplejson | python (>= 2.6), python-openssl, python-pyinotify Suggests: ipython, python-genshi, python-pkg-resources, python-lxml, python-greenlet, python-redis, python-pylibmc | python-memcache, python-werkzeug-doc Homepage: http://werkzeug.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-werkzeug/python-werkzeug_0.10.4+dfsg1-1~nd90+1_all.deb Size: 165572 SHA256: 7be17184bec25c4a421825b50b8d03493cdbdb30e57f485188f06e479b1bc755 SHA1: 44d678dad8ad3b38ee2e09a7f122d9c5863a998f MD5sum: aee38b21de85d50eabf69ff03ce3e31d Description: collection of utilities for WSGI applications The Web Server Gateway Interface (WSGI) is a standard interface between web server software and web applications written in Python. . Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: python-werkzeug-doc Source: python-werkzeug Version: 0.10.4+dfsg1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2709 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Conflicts: python-werkzeug (<< 0.9.3+dfsg-2) Replaces: python-werkzeug (<< 0.9.3+dfsg-2) Homepage: http://werkzeug.pocoo.org/ Priority: extra Section: doc Filename: pool/main/p/python-werkzeug/python-werkzeug-doc_0.10.4+dfsg1-1~nd90+1_all.deb Size: 881876 SHA256: 4a559109102aee2f3bb9267ac2200775e2afd8328e79fa27e3591e6773438a15 SHA1: 389736200858b2336fafbd741e83ead639acb312 MD5sum: 0c95fbcbaed8ab4ef2cc312bfaa821f5 Description: documentation for the werkzeug Python library Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: python-workqueue Source: cctools Version: 3.4.2-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 238 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python (>= 2.7), python (<< 2.8) Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: python Filename: pool/main/c/cctools/python-workqueue_3.4.2-1~nd70+1+nd90+1_i386.deb Size: 60596 SHA256: 7fe33530a84f76d5ba16bf6a1b4a332a528664e656ccd7e17f16929375cd5585 SHA1: f51ec626d58c32bbca820cfb08a38a8ea652f360 MD5sum: e669d191c79e033af3959f00b1ce1339 Description: cooperative computing tools work queue Python bindings CCTools's Work Queue is a system and API for building master-worker style programs that scale up to thousands of processors. This package provides bindings to access this system from Python. Package: python3-citeproc Source: citeproc-py Version: 0.3.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 777 Depends: neurodebian-popularity-contest, python3, python3-lxml, python3:any (>= 3.3.2-2~) Homepage: https://github.com/brechtm/citeproc-py Priority: optional Section: python Filename: pool/main/c/citeproc-py/python3-citeproc_0.3.0-1~nd90+1_all.deb Size: 81802 SHA256: 9771600798fda289f3bf331af6e87ce9b39eac0c38520bdf30f8c509457b82aa SHA1: 39ad5faaf9069dda3e4691ad8faa2e38b490e6bb MD5sum: eda798e4e44857e62a279e19dd0b3223 Description: Citation Style Language (CSL) processor for Python3 Citeproc-py is a library that produces formatted bibliographies and citations from bibliographic databases following formatting instructions provided by XML style files written in the Citation Style Language (CSL). . Currently, BibTeX and JSON are supported as input database formats, and plain text, reStructuredText and HTML as output format. . This package contains the Python 3 modules and the CLI tool csl_unsorted. Package: python3-jdcal Source: jdcal Version: 1.0-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest Homepage: https://github.com/phn/jdcal Priority: optional Section: python Filename: pool/main/j/jdcal/python3-jdcal_1.0-1~nd80+1+nd90+1_all.deb Size: 7518 SHA256: 509687fb7218b6ba604b6c6224a4274f12f43d040c9d85ee47157e8ebb9b8c9c SHA1: b0c638b1dff6c85861e5f9fe52c8418bb82de3a5 MD5sum: a9021e0701397e533368a236de8df6b3 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~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 273 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~nd80+1+nd90+1_all.deb Size: 61490 SHA256: 937f60c65dfd74f27413ce80845a22f41e73dbfa1c089c45ab9e71ec66c87c49 SHA1: fd5d049bb08156e50033559fe0e6655647e662c1 MD5sum: 8b6d5434f02011df66d875380e22f57d 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1263 Depends: neurodebian-popularity-contest, python3 (<< 3.5), python3 (>= 3.4~), python3-numpy, python3-pbr, libc6 (>= 2.4) Homepage: https://pythonhosted.org/lda/ Priority: optional Section: python Filename: pool/main/l/lda/python3-lda_1.0.2-9~nd80+1+nd90+1_i386.deb Size: 235712 SHA256: 1ca05888bd0044dbac2a912e991358e8c4e0bb68487705d6cfe0b7884b5e83dc SHA1: f4e43fb885554877062d16668e2d1aa1c0279408 MD5sum: aa5dc0b5ed5caae4572a55ada95103a0 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-mpi4py Source: mpi4py Version: 1.3.1+hg20131106-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1466 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libhwloc5 (>= 1.11.0), libopenmpi1.6, python3 (<< 3.5), python3 (>= 3.4~) Recommends: mpi-default-bin Suggests: python3-numpy Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: python Filename: pool/main/m/mpi4py/python3-mpi4py_1.3.1+hg20131106-1~nd80+1+nd90+1_i386.deb Size: 303882 SHA256: ca1f31d1720074f5c4d2edb8f30c60cc68bb3fb77750067ab179c0d2ae30793d SHA1: 10d76ed95f6a21365ce6e08e43ba746f8aee6f64 MD5sum: 2139a1e313c52fa9c5720cb151fb6341 Description: bindings of the Message Passing Interface (MPI) standard MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). Package: python3-mpi4py-dbg Source: mpi4py Version: 1.3.1+hg20131106-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2599 Depends: neurodebian-popularity-contest, python3-mpi4py (= 1.3.1+hg20131106-1~nd80+1+nd90+1) Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: debug Filename: pool/main/m/mpi4py/python3-mpi4py-dbg_1.3.1+hg20131106-1~nd80+1+nd90+1_i386.deb Size: 691662 SHA256: 75e313d46fc18485ff0da617dfbf5e2c84172eb18e51cf1dbdf34f6a9efb2513 SHA1: 98bd979be2cf78444d9ab02184d26fef550553de MD5sum: 5cd1fc7a38c2c9f3d3999c114ed7ccb3 Description: bindings of the MPI standard -- debug symbols MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). . This package provides debug symbols. Package: python3-msgpack Source: msgpack-python Version: 0.4.2-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 198 Depends: neurodebian-popularity-contest, python3 (<< 3.5), python3 (>= 3.4~), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://pypi.python.org/pypi/msgpack-python/ Priority: optional Section: python Filename: pool/main/m/msgpack-python/python3-msgpack_0.4.2-1~nd80+1+nd90+1_i386.deb Size: 54340 SHA256: 3f99a8c6c8fc36a2860dbd0d60dd47f3302a7c0000c2b33d4220b6f290d04759 SHA1: 1a80677eea1e09e20f32e9f2b0d203c6e0d2ad6e MD5sum: ca93c8cc6f9b247abaa4ea1d85f71a80 Description: Python 3 implementation of MessagePack format MessagePack is a binary-based efficient object serialization format. It enables the exchange of structured objects between many languages like JSON. But unlike JSON, it is very fast and small. . This package contains a Python 3 extension module implementing the MessagePack format. Package: python3-nibabel Source: nibabel Version: 2.0.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 63347 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~nd90+1_all.deb Size: 1970746 SHA256: de7932d796b4e88878f195d9e6828f5a1a2c888a23867ce88c0c6826ccc1163c SHA1: f4f8c77852166109d7225f746ef84ddfac2442cc MD5sum: eebcd5a5b3a4faada7497f9c3a25dd07 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1249 Depends: neurodebian-popularity-contest, python3-jdcal, python3:any (>= 3.3.2-2~) Recommends: python3-pytest, python3-pil, python3-lxml Homepage: http://bitbucket.org/openpyxl/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python3-openpyxl_2.3.0~b1-1~nd90+1_all.deb Size: 188874 SHA256: 24b3c374aa52c010928f2a1c9490446abf9494c1acf67e84f8e64704b77fcbe1 SHA1: d97f86306f4f37b6b122546c1b7abac602039e35 MD5sum: 6381cf74d10221afccc9b0e9bdb44458 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10718 Depends: neurodebian-popularity-contest, python3-dateutil, python3-numpy (>= 1:1.7~), python3-tz, python3:any (>= 3.3.2-2~), python3-pandas-lib (>= 0.16.2+git65-g054821d-1~nd90+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~nd90+1_all.deb Size: 1498584 SHA256: bac54f57bbaaab58b155da25f5f914487053f8ff5782d17c4789706fbdfb7edf SHA1: a1826ccd0f92eecf39c7ccca48b56f0e30c50a11 MD5sum: 15b482266a448c7a6fe9432b7683b8bd 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6518 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), python3-numpy (>= 1:1.8.0), python3-numpy-abi9, python3 (<< 3.5), python3 (>= 3.4~) Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas-lib_0.16.2+git65-g054821d-1~nd90+1_i386.deb Size: 1529236 SHA256: 8072b575ec41b64ebde4ada2fd15f48192b0631168bcfc7ab22290225ed6855b SHA1: e17da0fec6ec6448691d3b9e0c4396fc12afd999 MD5sum: 36f3e1b18fa1fc2387c6c119b02ac7d1 Description: low-level implementations and bindings for pandas - Python 3 This is an add-on package for python-pandas providing architecture-dependent extensions. . This package contains the Python 3 version. Package: python3-patsy Source: patsy Version: 0.4.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 781 Depends: neurodebian-popularity-contest, python3-numpy, python3-six, python3:any (>= 3.3.2-2~) Recommends: python3-pandas Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python3-patsy_0.4.0-1~nd90+1_all.deb Size: 171166 SHA256: 0a1f3b49084dc15c6ad46d2785d9f2f9b4a606ce27bf674853cb69fc275a414e SHA1: 35a1ef9576961e2f98bebe4bba037c0998772491 MD5sum: e6f0ba39c8e807a4e41aed017439e83d 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-psutil Source: python-psutil Version: 2.1.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 257 Depends: neurodebian-popularity-contest, libc6 (>= 2.13), python3 (<< 3.5), python3 (>= 3.4~) Homepage: http://code.google.com/p/psutil/ Priority: optional Section: python Filename: pool/main/p/python-psutil/python3-psutil_2.1.1-1~nd80+1+nd90+1_i386.deb Size: 60258 SHA256: bbbc3d8e84c16bded67040c5a9e268951e2cc72d1255b0820030deb7e2993f56 SHA1: ba7e85acbee5203d028ba0a80292cfc51d56915b MD5sum: 17bf9a6049dc77f7d73699543fc7c047 Description: module providing convenience functions for managing processes (Python3) psutil is a module providing an interface for retrieving information on running processes and system utilization (CPU, memory) in a portable way by using Python, implementing many functionalities offered by tools like ps, top and Windows task manager. . It currently supports Linux, OS X, FreeBSD and Windows. . This package contains the Python 3 version of psutil. Package: python3-py Source: python-py Version: 1.4.30-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 306 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-pkg-resources Suggests: subversion, python3-pytest Homepage: https://bitbucket.org/pytest-dev/py Priority: optional Section: python Filename: pool/main/p/python-py/python3-py_1.4.30-1~nd90+1_all.deb Size: 66824 SHA256: 0a6bf648d072410a214f4bd473a38ca3c056a330af4956a0a6b934fb0e0821dc SHA1: f90e5ce29005050a9187daeb98f57f3f4354dc43 MD5sum: 0847005900d103c72566871f0d601b17 Description: Advanced Python development support library (Python 3) The Codespeak py lib aims at supporting a decent Python development process addressing deployment, versioning and documentation perspectives. It includes: . * py.path: path abstractions over local and Subversion files * py.code: dynamic code compile and traceback printing support . This package provides the Python 3 modules. Package: python3-pytest Source: pytest Version: 2.7.2-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 494 Depends: neurodebian-popularity-contest, python3-pkg-resources, python3-py (>= 1.4.29), python3, python3:any (>= 3.3.2-2~) Homepage: http://pytest.org/ Priority: optional Section: python Filename: pool/main/p/pytest/python3-pytest_2.7.2-2~nd90+1_all.deb Size: 132468 SHA256: 48cbe9c4d4e7e631e765cda5872bb6bf51f82ba04470cb556b0d2c06041fda6f SHA1: dff11186bbd9e23bdbfa2fe9b60faee516890c2f MD5sum: 0e782127d1040f8b9af7be441cb8e640 Description: Simple, powerful testing in Python3 This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. . This package provides the Python 3 module and the py3.test script. Package: python3-pytest-localserver Source: pytest-localserver Version: 0.3.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59 Depends: neurodebian-popularity-contest, python3-pytest, python3-werkzeug (>= 0.10), python3:any (>= 3.3.2-2~) Homepage: https://pypi.python.org/pypi/pytest-localserver Priority: optional Section: python Filename: pool/main/p/pytest-localserver/python3-pytest-localserver_0.3.4-1~nd90+1_all.deb Size: 18238 SHA256: ae2dc72d9a97c9d8d71bbc222a18030530c065e0bf309bbbda1844271195fabb SHA1: 4d9501a6f30c0c709c453e1d98464bd1f8131b54 MD5sum: 8c29f136aad81be7440f9ab8fcdfc5dc Description: py.test plugin to test server connections locally (Python 3) pytest-localserver is a plugin for the Pytest testing framework which enables to test server connections locally. . This package contains the modules for Python 3. Package: python3-pytest-tornado Source: pytest-tornado Version: 0.4.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python3-pytest, python3-tornado, python3:any (>= 3.3.2-2~) Homepage: https://github.com/eugeniy/pytest-tornado Priority: optional Section: python Filename: pool/main/p/pytest-tornado/python3-pytest-tornado_0.4.4-1~nd90+1_all.deb Size: 5734 SHA256: 8ab0046915b5cf9640e19a16d43ce44f498fd01fb0a365be49c8aaa1c30ef57a SHA1: c81514d37073e109155141a339b73c41e2b1e7fa MD5sum: 6955e8fad9eb8dcc0b1a8e6690a1f171 Description: py.test plugin to test Tornado applications (Python 3) pytest-tornado is a plugin for the Pytest testing framework which provides fixtures and markers to simplify testing of Tornado applications (Python web framework and ansynchronous networking library). . This package contains the plugin for Python 3 code. Package: python3-sphinx-rtd-theme Source: sphinx-rtd-theme Version: 0.1.8-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 359 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~nd90+1_all.deb Size: 117208 SHA256: 16750e72490dfd83a69334d631b79056b547727b706529f6eb8eb2d1fbca5443 SHA1: 0f30cc73b8863ed74a3e4aa8ac6e2ba911bfff3b MD5sum: bd47026d57bfab7cdccbd9a6f3211976 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-tz Source: python-tz Version: 2012c-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 109 Depends: neurodebian-popularity-contest, tzdata, python3:any (>= 3.3.2-2~) Homepage: http://pypi.python.org/pypi/pytz/ Priority: optional Section: python Filename: pool/main/p/python-tz/python3-tz_2012c-1~nd70+1+nd90+1_all.deb Size: 25318 SHA256: f3b641a1dccf7188209fbbd4b68c9462e4cfc35e8c371603ac02a451676c132e SHA1: 04ab5dc0076b526b09c4b1ae563c20f70636fba2 MD5sum: 34437b0794a75cccfcbca371eb5db224 Description: Python3 version of the Olson timezone database python-tz brings the Olson tz database into Python. This library allows accurate and cross platform timezone calculations using Python 2.3 or higher. It also solves the issue of ambiguous times at the end of daylight savings, which you can read more about in the Python Library Reference (datetime.tzinfo). . This package contains the Python 3 version of the library. Package: python3-w3lib Source: python-w3lib Version: 1.11.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59 Depends: neurodebian-popularity-contest, python3-six (>= 1.6.1), python3:any (>= 3.3.2-2~) Homepage: http://pypi.python.org/pypi/w3lib Priority: optional Section: python Filename: pool/main/p/python-w3lib/python3-w3lib_1.11.0-1~nd90+1_all.deb Size: 14190 SHA256: 936b5cf9912553d27c7f1f2995ad57113ae0d0e50748a86b8b34d94a95210adb SHA1: c323083c3fd7909615fd05c74cf34df27c849b99 MD5sum: eabd0e00c9049ae6861823d2a2f35e24 Description: Collection of web-related functions for Python (Python 3) Python module with simple, reusable functions to work with URLs, HTML, forms, and HTTP, that aren’t found in the Python standard library. . This module is used to, for example: - remove comments, or tags from HTML snippets - extract base url from HTML snippets - translate entites on HTML strings - encoding mulitpart/form-data - convert raw HTTP headers to dicts and vice-versa - construct HTTP auth header - RFC-compliant url joining - sanitize urls (like browsers do) - extract arguments from urls . The code of w3lib was originally part of the Scrapy framework but was later stripped out of Scrapy, with the aim of make it more reusable and to provide a useful library of web functions without depending on Scrapy. . This is the Python 3 version of the package. Package: python3-werkzeug Source: python-werkzeug Version: 0.10.4+dfsg1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 765 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), libjs-jquery Recommends: python3-simplejson | python3, python3-openssl, python3-pyinotify Suggests: ipython3, python3-pkg-resources, python3-lxml, python-werkzeug-doc Homepage: http://werkzeug.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-werkzeug/python3-werkzeug_0.10.4+dfsg1-1~nd90+1_all.deb Size: 165550 SHA256: baff81afd62f70d40a88d0730c28c741d896df6817923fc5c1c750b479ad7f7f SHA1: e64561b10bba46f959268074a0f6591208c7c5b9 MD5sum: 4831b3c44099af4fb3c32d574576b5a4 Description: collection of utilities for WSGI applications The Web Server Gateway Interface (WSGI) is a standard interface between web server software and web applications written in Python. . Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: qnifti2dicom Source: nifti2dicom Version: 0.4.9-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3287 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libgdcm2.4, libinsighttoolkit4.6, libqt5core5a (>= 5.0.2), libqt5gui5 (>= 5.0.2), libqt5widgets5 (>= 5.0.2), libstdc++6 (>= 4.9), libvtk6.1, nifti2dicom (= 0.4.9-1~nd80+1+nd90+1), nifti2dicom-data (= 0.4.9-1~nd80+1+nd90+1) Homepage: https://github.com/biolab-unige/nifti2dicom Priority: optional Section: science Filename: pool/main/n/nifti2dicom/qnifti2dicom_0.4.9-1~nd80+1+nd90+1_i386.deb Size: 488476 SHA256: a272a7bdeb3c4db16bd6bb333776e0dcf0a9e5c57809105b898826bd12192ed6 SHA1: 0ab44bd2baafa6fdaae7f4966e6055af9dad56c4 MD5sum: a4a6ee394a6c27d202d4cac1d48f28e8 Description: convert 3D medical images to DICOM 2D series (gui) Nifti2Dicom is a convertion tool that converts 3D NIfTI files (and other formats supported by ITK, including Analyze, MetaImage Nrrd and VTK) to DICOM. Unlike other conversion tools, it can import a DICOM file that is used to import the patient and study DICOM tags, and allows you to edit the accession number and other DICOM tags, in order to create a valid DICOM that can be imported in a PACS. . This package contains the Qt4 GUI. Package: sigviewer Version: 0.5.1+svn556-3~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 956 Depends: neurodebian-popularity-contest, libbiosig1, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libqt4-xml (>= 4:4.5.3), libqtcore4 (>= 4:4.8.0), libqtgui4 (>= 4:4.6.1), libstdc++6 (>= 4.6) Homepage: http://sigviewer.sourceforge.net Priority: extra Section: science Filename: pool/main/s/sigviewer/sigviewer_0.5.1+svn556-3~nd80+1+nd90+1_i386.deb Size: 339084 SHA256: 3be394d463d604d2c9cc9dfe928ed395365633c8510c60acae4cc533bb898928 SHA1: eddd03a697dee43d31def1b12e944c3e31869abb MD5sum: 901d38db2c901206cb3c021b0bedf1c7 Description: GUI viewer for biosignals such as EEG, EMG, and ECG SigViewer is a viewing and scoring software for biomedical signal data. It relies on biosig4c++ library which supports a number of 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 . . Besides displaying biosignals, SigViewer supports creating annotations to select artifacts or specific events. Package: spm8-common Source: spm8 Version: 8.5236~dfsg.1-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 19187 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~nd70+1+nd90+1_all.deb Size: 9748000 SHA256: 680f43e45495a677b3c38f5e3709ec28b4ad877e4315eeff99fe2582ea1fcb7c SHA1: ceac6e0f3811c55e8125edbe21b3efdaf1a16e12 MD5sum: 244ac5f32442def5cfc872ea3f873f88 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~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 73020 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/s/spm8/spm8-data_8.5236~dfsg.1-1~nd70+1+nd90+1_all.deb Size: 45492378 SHA256: aa9b3d42abaacaa7d476fd31e6d9af9abf9aadfca4f0a603b0369bb26a3c8dc5 SHA1: 0725897b8a1f9fa64abe092992fb35dbcfcd5270 MD5sum: 746ebce5f1c0180331a6be5e080b959c 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~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 9252 Depends: neurodebian-popularity-contest Priority: extra Section: doc Filename: pool/main/s/spm8/spm8-doc_8.5236~dfsg.1-1~nd70+1+nd90+1_all.deb Size: 8934900 SHA256: 4a07f5603644623f064ef741e279bc7c152ea20cc5a134ecd4734b7958e37836 SHA1: a37985ea601c14ce314860c55a42f45fd00405de MD5sum: 40142910687b4dfbbac3805fe593d0d6 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: spyder Version: 2.2.5+dfsg-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 136 Depends: neurodebian-popularity-contest, python:any, python-spyderlib (= 2.2.5+dfsg-1~nd80+1+nd90+1) Homepage: http://code.google.com/p/spyderlib/ Priority: extra Section: devel Filename: pool/main/s/spyder/spyder_2.2.5+dfsg-1~nd80+1+nd90+1_all.deb Size: 53012 SHA256: b2dc7e51ef78e68819125e10a50cd4ea706a77ba409e0bb27fca9b63c8a34c5f SHA1: c6e5131a5eaafdf8960050d01e2812ba76c94730 MD5sum: 74994062b3b51941db390ea57c13b8e8 Description: python IDE for scientists Spyder (previously known as Pydee) is a free open-source Python development environment providing MATLAB-like features in a simple and light-weighted software Package: spykeviewer Version: 0.4.2-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1189 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~nd80+1+nd90+1_all.deb Size: 536744 SHA256: cb4cd4ca11a3653360964d74b290962dae62889d58c862e881de4d74064017fc SHA1: 18afd67d6f70a23b422e0d67f4cd9c3870633c10 MD5sum: 8dc65293cc871f2d48bde9f0f4be6e34 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~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 134 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~nd70+1+nd90+1_all.deb Size: 22486 SHA256: 8766352aac1f4ad1638c04104058b2872d436a43f15fb3a43f84ea9c99ce5787 SHA1: ab2985bd761da2904cfdddb227bf81a1b91534d0 MD5sum: 8d9b482369a29f4801e6ef1119852fcd 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2626 Depends: neurodebian-popularity-contest, libbiosig1, libblas3 | libblas.so.3, libc6 (>= 2.4), libcholmod2.1.2, libfftw3-double3, libgcc1 (>= 1:4.1.1), libhdf5-8, liblapack3 | liblapack.so.3, libpython2.7 (>= 2.7), libstdc++6 (>= 4.9), libwxbase3.0-0 (>= 3.0.2), libwxgtk3.0-0 (>= 3.0.2), 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~nd90+1_i386.deb Size: 763502 SHA256: 6356bc59f97a5e55db72c9f084fcc4bf46a8cc65b5d001b71d4285f6523be399 SHA1: 2c25a20ba313e238d4512f1f8c3e6b38c51fb1e2 MD5sum: e1e1d40d4d6a34e8a0cdd9b135e6313c 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~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 24100 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~nd90+1_i386.deb Size: 5794624 SHA256: a72b6a6e3e65311cfc46453e54344223226cd3eebf76461f862fbfb1784c123d SHA1: ea8288047ffd6aa5ee453c027feff3d5d3706fe5 MD5sum: 507e8b65d78cbeaeb827034e81605df0 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: svgtune Version: 0.1.0-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 Depends: neurodebian-popularity-contest, python, python-lxml Suggests: inkscape Homepage: http://github.com/yarikoptic/svgtune Priority: optional Section: graphics Filename: pool/main/s/svgtune/svgtune_0.1.0-1~nd70+1+nd90+1_all.deb Size: 6544 SHA256: 932580cf411cba683c923965479d65b533fe87f46590d4e18612bb7906fd639c SHA1: 9077b3e2d8dc1f892ae80bd15112d369c68aa96f MD5sum: b023b0ccfe544567ead1371438900c92 Description: tool to generate a set of .svg files out of a single .svg file svgtune is just a little helper to generate a set of .svg files out of a single .svg file, by tuning respective groups/layers visibility, transparency or anything else. . It might come very handy for generation of incremental figures to be embedded into the presentation in any format which inkscape could render using original .svg file (e.g. pdf, png). Package: tigervnc-common Source: tigervnc Version: 1.5.0-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 168 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libgnutls-deb0-28 (>= 3.3.0), libice6 (>= 1:1.0.0), libjpeg62-turbo (>= 1.3.1), libpam0g (>= 0.99.7.1), libsm6, libstdc++6 (>= 4.6), libwrap0 (>= 7.6-4~), libx11-6 (>= 2:1.4.99.1), libxext6, zlib1g (>= 1:1.1.4) Conflicts: tigervnc-server (<< 1.1.90), tigervnc-viewer (<< 1.1.90) Homepage: http://www.tigervnc.org Priority: optional Section: x11 Filename: pool/main/t/tigervnc/tigervnc-common_1.5.0-1~nd90+1_i386.deb Size: 62720 SHA256: 31858e0fc597879001229f80f008a36c01ee3ac3f165c3a5900f92683194cb38 SHA1: bbb4b24a80353d03d9264ab51403baf2b04ee05c MD5sum: 99c4a3e2d7390aab439ce5f69ee315ed Description: Virtual network computing; Common software needed by clients and servers VNC stands for Virtual Network Computing. It is, in essence, a remote display system which allows you to view a computing `desktop' environment not only on the machine where it is running, but from anywhere on the Internet and from a wide variety of machine architectures. . It is implemented in a client/server model. This package provides the common software for both client and server. Package: tigervnc-scraping-server Source: tigervnc Version: 1.5.0-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 503 Depends: neurodebian-popularity-contest, xserver-common (>= 2:1.7.7), keyboard-configuration, udev (>= 149), tigervnc-common, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libgnutls-deb0-28 (>= 3.3.0), libice6 (>= 1:1.0.0), libjpeg62-turbo (>= 1.3.1), libpam0g (>= 0.99.7.1), libsm6, libstdc++6 (>= 4.6), libwrap0 (>= 7.6-4~), libx11-6, libxdamage1 (>= 1:1.1), libxext6, libxtst6, zlib1g (>= 1:1.1.4) Recommends: libgl1-mesa-dri (>= 7.1~rc1) Suggests: xfonts-100dpi | xfonts-75dpi, xfonts-scalable Breaks: tigervnc-server (<< 1.1.90) Replaces: tigervnc-server (<< 1.1.90) Provides: vnc-server Homepage: http://www.tigervnc.org Priority: optional Section: x11 Filename: pool/main/t/tigervnc/tigervnc-scraping-server_1.5.0-1~nd90+1_i386.deb Size: 186458 SHA256: 793c97bc2702d0b752b6341cda0664b2db8039906e89ae255ea4308b551a85af SHA1: 9e5a67a764cd14389ceb64e04636bc884d60241b MD5sum: 2521af245ffc3f7a99b4f1ce9699e322 Description: Virtual network computing server software VNC stands for Virtual Network Computing. It is, in essence, a remote display system which allows you to view a computing `desktop' environment not only on the machine where it is running, but from anywhere on the Internet and from a wide variety of machine architectures. . This package provides a vncserver which uses screen scraping of an already running X server to provide its VNC desktop. The VNC desktop can be viewed by any vncviewer even on other operating systems. . Note: If you only want to scrap your local X11 server, you should consider the tigervnc-xorg-extension package. This package provides the vnc extension for your local X11 server. The usage of this extension is more efficient than a scraping vnc server. Package: tigervnc-standalone-server Source: tigervnc Version: 1.5.0-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2732 Depends: neurodebian-popularity-contest, xserver-common (>= 2:1.7.7), keyboard-configuration, udev (>= 149), tigervnc-common, libaudit1 (>= 1:2.2.1), libc6 (>= 2.17), libgcc1 (>= 1:4.1.1), libgcrypt20 (>= 1.6.1), libgl1-mesa-glx | libgl1, libgnutls-deb0-28 (>= 3.3.0), libjpeg62-turbo (>= 1.3.1), libpam0g (>= 0.99.7.1), libpixman-1-0 (>= 0.30.0), libselinux1 (>= 2.0.82), libstdc++6 (>= 4.6), libwrap0 (>= 7.6-4~), libx11-6, libxau6, libxdmcp6, libxfont1 (>= 1:1.4.2), libxshmfence1, zlib1g (>= 1:1.1.4), perl Recommends: libgl1-mesa-dri (>= 7.1~rc1) Suggests: xfonts-100dpi | xfonts-75dpi, xfonts-scalable Breaks: tigervnc-server (<< 1.1.90) Replaces: tigervnc-server (<< 1.1.90) Provides: vnc-server Homepage: http://www.tigervnc.org Priority: optional Section: x11 Filename: pool/main/t/tigervnc/tigervnc-standalone-server_1.5.0-1~nd90+1_i386.deb Size: 1016826 SHA256: 7dc5a47705dc35b03459cd05f84102c60b4cbe88f27abaefe4c5ece9ac160b1a SHA1: 8710c3dde395fd507ee1ddd4c7ec9881a589ac07 MD5sum: ed80047703d14ed9901a3c2d1f2f7271 Description: Virtual network computing server software VNC stands for Virtual Network Computing. It is, in essence, a remote display system which allows you to view a computing `desktop' environment not only on the machine where it is running, but from anywhere on the Internet and from a wide variety of machine architectures. . This package provides a standalone vncserver to which X clients can connect. The server generates a display that can be viewed with a vncviewer. . Note: This server does not need a display. You need a vncviewer to see something. This viewer may also be on a computer running other operating systems. Package: tigervnc-viewer Source: tigervnc Version: 1.5.0-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 416 Depends: neurodebian-popularity-contest, xserver-common (>= 2:1.7.7), tigervnc-common, libc6 (>= 2.15), libfltk-images1.3 (>= 1.3.3), libfltk1.3 (>= 1.3.3), libfontconfig1 (>= 2.11), libgcc1 (>= 1:4.1.1), libgnutls-deb0-28 (>= 3.3.0), libjpeg62-turbo (>= 1.3.1), libpam0g (>= 0.99.7.1), libstdc++6 (>= 4.6), libwrap0 (>= 7.6-4~), libx11-6, libxcursor1 (>> 1.1.2), libxext6, libxfixes3, libxft2 (>> 2.1.1), libxinerama1, libxrender1, zlib1g (>= 1:1.1.4) Provides: vnc-viewer Homepage: http://www.tigervnc.org Priority: optional Section: x11 Filename: pool/main/t/tigervnc/tigervnc-viewer_1.5.0-1~nd90+1_i386.deb Size: 159880 SHA256: 56e25a34e9a4fbd8dc96f2d3006909056e56eb1454b6fd6c183c1a0aa0126dc4 SHA1: 791ee9a1f16ae8df9f995f60e923fcda63203564 MD5sum: 117a3ab86df34bc18535bd792ff7d7ef Description: Virtual network computing client software for X VNC stands for Virtual Network Computing. It is, in essence, a remote display system which allows you to view a computing `desktop' environment not only on the machine where it is running, but from anywhere on the Internet and from a wide variety of machine architectures. . It is implemented in a client/server model. This package provides a vncclient for X, with this you can connect to a vncserver somewhere in the network and display its content in a window. There are vncservers available for other operating systems. Package: tigervnc-xorg-extension Source: tigervnc Version: 1.5.0-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 573 Depends: neurodebian-popularity-contest, xserver-common (>= 2:1.7.7), keyboard-configuration, udev (>= 149), tigervnc-common, libaudit1 (>= 1:2.2.1), libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libpam0g (>= 0.99.7.1), libstdc++6 (>= 4.6) Recommends: libgl1-mesa-dri (>= 7.1~rc1) Suggests: xfonts-100dpi | xfonts-75dpi, xfonts-scalable Breaks: tigervnc-server (<< 1.1.90) Replaces: tigervnc-server (<< 1.1.90) Provides: vnc-server, vnc-xorg-extension Homepage: http://www.tigervnc.org Priority: optional Section: x11 Filename: pool/main/t/tigervnc/tigervnc-xorg-extension_1.5.0-1~nd90+1_i386.deb Size: 206982 SHA256: 99befddaafde1942c4c13d41193829db6cf46634ef70d0c7d246fd1f5798fa2d SHA1: 7b996839d630c6b7a3795af94b70e16e2193573b MD5sum: d357a5e1a67071c4cb43568623880e4b Description: Virtual network computing server software VNC stands for Virtual Network Computing. It is, in essence, a remote display system which allows you to view a computing `desktop' environment not only on the machine where it is running, but from anywhere on the Internet and from a wide variety of machine architectures. . It contains an X server connector so clients can connect to your local X desktop directly. Package: ubuntu-keyring Version: 2010.+09.30~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Recommends: gpgv Priority: important Section: misc Filename: pool/main/u/ubuntu-keyring/ubuntu-keyring_2010.+09.30~nd70+1+nd90+1_all.deb Size: 11666 SHA256: 9261b6c61e5f4c66cc1bc803a2fafddd4b76383058127496b5d6c2af04ea1b9e SHA1: 705794dc4d5af0849731d8a6ebc9d90b24b7bf19 MD5sum: efa94037736492ce55a9d611841f8bdc Description: GnuPG keys of the Ubuntu archive The Ubuntu project digitally signs its Release files. This package contains the archive keys used for that. Package: utopia-documents Version: 2.4.4-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 18997 Depends: neurodebian-popularity-contest, libboost-python1.55.0, libboost-system1.55.0, libboost-thread1.55.0, libc6 (>= 2.11), libexpat1 (>= 2.0.1), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglew1.10 (>= 1.10.0), libglu1-mesa | libglu1, libpcre3 (>= 1:8.35), 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 (>= 2.1.0~2011week13), libraptor1 (>= 1.4.21-3), libssl1.0.0 (>= 1.0.0), libstdc++6 (>= 4.9), zlib1g (>= 1:1.1.4), 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~nd80+1+nd90+1_i386.deb Size: 5318940 SHA256: cf8a4b282108c954bbd88988d711eb1afca7c90c4b8a50b17cefad27c6ea783f SHA1: f91a722624fb005dcad7e561a39312e6cc135e96 MD5sum: 052d88faa213edf4a0bc0fd21d26137a 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~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 44434 Depends: neurodebian-popularity-contest, utopia-documents (= 2.4.4-1~nd80+1+nd90+1) Homepage: http://utopiadocs.com Priority: extra Section: debug Filename: pool/main/u/utopia-documents/utopia-documents-dbg_2.4.4-1~nd80+1+nd90+1_i386.deb Size: 43442256 SHA256: 0447d0e8ebcbe29c4dd2772ad2400f5015e5ee885de095c20b4bda67e1300386 SHA1: 6fe44b9d015e6d5aa70535056fb48318e4c577c8 MD5sum: c3e3437849651641f2e36c069b6fe98f 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 351 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libvrpn0 (= 07.30+dfsg-1~nd70+1+nd90+1), libvrpnserver0 (= 07.30+dfsg-1~nd70+1+nd90+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: utils Filename: pool/main/v/vrpn/vrpn_07.30+dfsg-1~nd70+1+nd90+1_i386.deb Size: 94302 SHA256: 5dd627c0f0fef1d33e9b391099c974fa32036e9201bda7cd8a3758bb9f29a098 SHA1: a8bccb2057d033c0b62ed9db104af0759c108ac2 MD5sum: d2c6b5355d5a196cac204447a54a25b5 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~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3507 Depends: neurodebian-popularity-contest, libvrpn0 (= 07.30+dfsg-1~nd70+1+nd90+1), libvrpnserver0 (= 07.30+dfsg-1~nd70+1+nd90+1), vrpn (= 07.30+dfsg-1~nd70+1+nd90+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: debug Filename: pool/main/v/vrpn/vrpn-dbg_07.30+dfsg-1~nd70+1+nd90+1_i386.deb Size: 922976 SHA256: ffc0f1c69f02665abf445859e923e046da2a0c9162fef594196b71f8d898a3b9 SHA1: 611a5f7eafe6445cd8804f95b920e29da949d5f5 MD5sum: cea7c23ed4d45f54b416d0cbdeb79c8c Description: Virtual Reality Peripheral Network (debugging symbols) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the debugging symbols of the libraries and executables. Package: vtk-dicom-tools Source: vtk-dicom Version: 0.5.5-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 260 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.9), libvtk-dicom0.5, libvtk5.8 Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: utils Filename: pool/main/v/vtk-dicom/vtk-dicom-tools_0.5.5-2~nd90+1_i386.deb Size: 73412 SHA256: 66b582c1fd6c757f6317ba7225a91b549bed144f5b5635dbd9fd6c4f3b459859 SHA1: 93c36d757d8e5c4bbb614ad7354f1ffb7260dd3a MD5sum: 4603016a86a7bb84c0c084deb5e6f490 Description: DICOM for VTK - tools This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Command line tools Package: xppaut Version: 6.11b+1.dfsg-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6067 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libx11-6 Homepage: http://www.math.pitt.edu/~bard/xpp/xpp.html Priority: optional Section: science Filename: pool/main/x/xppaut/xppaut_6.11b+1.dfsg-1~nd70+1+nd90+1_i386.deb Size: 3749182 SHA256: 8524528fd6425416bad49826ecb90860789656cae35a7e0961298db630262476 SHA1: 22bb668670bcdd862758ef102c4ba1a6d1f8c670 MD5sum: 70f2e88df1c8500eeb2cb5c663306479 Description: Phase Plane Plus Auto: Solves many kinds of equations XPPAUT is a tool for solving * differential equations, * difference equations, * delay equations, * functional equations, * boundary value problems, and * stochastic equations. . The code brings together a number of useful algorithms and is extremely portable. All the graphics and interface are written completely in Xlib which explains the somewhat idiosyncratic and primitive widgets interface.