Package: aghermann Version: 1.0.9-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1598 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libc6 (>= 2.14), libcairo-gobject2 (>= 1.10.0), libcairo2 (>= 1.2.4), libconfig++9v5, libfftw3-double3, libgcc1 (>= 1:3.0), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.31.18), libgnutls30 (>= 3.4.0), libgomp1 (>= 4.9), libgsl2, libgtk-3-0 (>= 3.3.16), libitpp8v5, liblua5.2-0, libpango-1.0-0 (>= 1.14.0), libpangocairo-1.0-0 (>= 1.14.0), libsamplerate0 (>= 0.1.7), libstdc++6 (>= 5.2), 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_1.0.9-1~nd90+1_amd64.deb Size: 522636 SHA256: 97fa2e5c6e94245f424368b9e9b53a3b876f760e9e13c0e0def418b4f9c62fee SHA1: 1cf76bcfe48a91a516bf9e2827989a558ab630f7 MD5sum: cb94c4e083cd955faa7222d6b234ab85 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: aghermann-dbgsym Source: aghermann Version: 1.0.9-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 10987 Depends: aghermann (= 1.0.9-1~nd90+1) Homepage: http://johnhommer.com/academic/code/aghermann Priority: extra Section: debug Filename: pool/main/a/aghermann/aghermann-dbgsym_1.0.9-1~nd90+1_amd64.deb Size: 10909566 SHA256: 4c2efdd6c45b56a898afb472e4b4f02a823bf58ad3962dcb694fbe032f2e368e SHA1: 716a5d43c2351926fc8a09b5690687e45297dab7 MD5sum: 17bfcefee288c8f0ca09e4840d88bdb0 Description: Debug symbols for aghermann Auto-Built-Package: debug-symbols Build-Ids: 03bea344e62b476265f87dcc9ae26d9abcd20574 28ba43e46fced1602ccca650717b069d94f906b0 7db172d27df5205757cf166f0a9d7ce92e3e8fb7 a67b3134ac88e08c18bb202f41bab8476df959b3 b64a2f05f8d81a9b4c4eaa52fe3bca965801d89d be9f76709558f1895de0b11815a49505e1cd7699 ed3a6e0c2148b106eceb7d6194b62e1b05ac82fe fa49840be6ec7ddb86785f903d0b1c85cab9026f 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 683 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libcholmod2.1.2, libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: science Filename: pool/main/b/biosig4c++/biosig-tools_1.4.1-2~nd80+1+nd90+1_amd64.deb Size: 240842 SHA256: a4281a2191eeaeadd0dac4231deac526cdce2f959642beca468e5197b4ff619f SHA1: d9b2654a8e8b778422b24f52d8c06f4a70975006 MD5sum: bfd4556833df8a36cd21a7b38fcd4cc4 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: 0.22.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 199 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_0.22.2-1~nd90+1_all.deb Size: 54926 SHA256: 8bfe04102fa1261c7c948d2dd536d4138949958202e4295f6cc10b1068edf946 SHA1: cfe11d7602ecf6cdbe8816b91af923dc0ac6bae9 MD5sum: 90260d8146b7039274b8ccc17464a579 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3393 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_amd64.deb Size: 475126 SHA256: 8f0a47d72ad52995d19ea73b2b0c9b86c588681053af36e01bb3a3cd872a3452 SHA1: aba1277cbf5575d0654b99c63d268bdad84de00e MD5sum: 279191e42edfe901b3ceda0c891b551f 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4903 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_amd64.deb Size: 3880988 SHA256: 546ebee0cafadcaa1ccbe5e64ae819d956b6e2dd882f01083d561fb71b51a240 SHA1: 8357ca1e65a19540a407975bfd022c8fb521143d MD5sum: 0576a252b3734d2eac65530b52daaead 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1037 Depends: neurodebian-popularity-contest, libc6 (>= 2.14) Homepage: http://www.pgbovine.net/cde.html Priority: optional Section: utils Filename: pool/main/c/cde/cde_0.1+git9-g551e54d-1~nd80+1+nd90+1_amd64.deb Size: 145956 SHA256: d9a0fbdc9697516433c89a73ec24947d4b8bcc1855a1a51f9c24518635fc1bc3 SHA1: 1731d3592d00e08ddffdfde2e6ee31360c0a050a MD5sum: 6bc92e5b3a6547a69cafde6b16442555 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 190 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_amd64.deb Size: 55432 SHA256: 1ac7d43228cbae409267fd4ed88c8c4047506e7772dc031aa7615ce0099cb674 SHA1: 3725bb8bf58df2d64f960db8007b2ffd84d03166 MD5sum: eca3f8eaf30792db27023daa4b0282b5 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 25147 Depends: neurodebian-popularity-contest, libbz2-1.0, libc6 (>= 2.14), 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_amd64.deb Size: 3710056 SHA256: d7c7c09c94804848ffe0b64ba4f0acde689ba2f6f45ece9d8220f1f83771aa4d SHA1: ecfe64e492f6c61055ab4becdfcda35dc28c865b MD5sum: 5da118730e3872c2f8496e9221f87794 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: 2.0.3-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 68 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libcnrun2 (>= 2.0.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libgsl2, libstdc++6 (>= 5.2), libxml2 (>= 2.6.27) Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/cnrun-tools_2.0.3-1~nd90+1_amd64.deb Size: 21676 SHA256: a70c3b8f8c2997201119557a7637b6337a8e3a2c99fd2aae3b8c12df2b7dd68a SHA1: 5b47ee5643442f12c467833e35a67e357ddf0811 MD5sum: c9eda4f7aa0656860a02112d7f0cf089 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: cnrun-tools-dbgsym Source: cnrun Version: 2.0.3-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 132 Depends: cnrun-tools (= 2.0.3-1~nd90+1) Homepage: http://johnhommer.com/academic/code/cnrun Priority: extra Section: debug Filename: pool/main/c/cnrun/cnrun-tools-dbgsym_2.0.3-1~nd90+1_amd64.deb Size: 104412 SHA256: 0e87d440f316b2daed331337fa36c09b679161d96dd69b8b840fdd9eaeec56ef SHA1: dfbd97ec4be0080b01ed5519d8cb4ebac0736353 MD5sum: 6cf677e0f3543e82badf3067ab12d628 Description: Debug symbols for cnrun-tools Auto-Built-Package: debug-symbols Build-Ids: 11c9ca4c4676482e2c5b95e1642c7331deb8a531 60e5a8868390ffbfa2b8277657b123eed1613056 Package: condor Version: 8.4.2~dfsg.1-1~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_8.4.2~dfsg.1-1~nd90+1_all.deb Size: 15706 SHA256: 9c215ac3b0e3385aadbb9169dfd4ea5ddb61df636fa15cabead3a29d34665c77 SHA1: 0e7082fd454b225c9bfe58f41155c15946c4d5b9 MD5sum: 063f58417f90f99ecb600bc2f0fcdc9c 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: 8.4.2~dfsg.1-1~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_8.4.2~dfsg.1-1~nd90+1_all.deb Size: 15724 SHA256: 5930b1f4adb24c923e13e5a27ae5b048a941f187ec2989fc19253442e205a71f SHA1: b1779dca2c4f13e1657f7bc0fb7c01636a1d62bf MD5sum: fcd86d768a1d3ba8d8ef0a03ac1458dc 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: 8.4.2~dfsg.1-1~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_8.4.2~dfsg.1-1~nd90+1_all.deb Size: 15732 SHA256: d6270236ee14f6b1cafd99722927d1921c77c7723efe9e561a125e31edd7e96d SHA1: 6c3ebb9e70e59027ef67cbb816542a8b75de6851 MD5sum: 43c4ac37193f38922f18f931b5cdec8a 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: 8.4.2~dfsg.1-1~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_8.4.2~dfsg.1-1~nd90+1_all.deb Size: 15726 SHA256: 143d8336a3a86fde5dfc5a4b382db45e90355a571f966c0e215c8f417505e8da SHA1: 7cbcd7046986ed0499f35ec821a662745ccb13bb MD5sum: aa1ea880e8b652ae4910f2df37a83b96 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: 1.2.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 52062 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libftgl2 (>= 2.1.3~rc5), libgcc1 (>= 1:4.0), 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 (>= 5.2), 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_1.2.0-1~nd90+1_amd64.deb Size: 25190080 SHA256: 0b216d9fc60ce11b4d2244957567944ac9c71ddad07a996125d2f4f5edcc6f80 SHA1: e2ea946c02d598a0d0e51cfec74c3dd5029203b7 MD5sum: 6d0f5115792dcf9f2d858632be803dae 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: 1.2.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 125350 Depends: neurodebian-popularity-contest, connectome-workbench (= 1.2.0-1~nd90+1) Homepage: http://www.nitrc.org/projects/workbench/ Priority: extra Section: debug Filename: pool/main/c/connectome-workbench/connectome-workbench-dbg_1.2.0-1~nd90+1_amd64.deb Size: 122722812 SHA256: 6e0db092ac884d99f1b8607674a689b8c335af3dcb0a161662acbe95bdcd3dcb SHA1: c8080902e89cf5549a15c529a3c1bf0fade67fdd MD5sum: 037aaf29254c4ae849f06d8e5c9491b0 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. Build-Ids: 7a158a659587e05d27bae373bdc82008cfb09d7c 8606c65c122f7d478a9a294477ad5a373409683a 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4098 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_amd64.deb Size: 537472 SHA256: d569bb745ddabeddb775d68f9ce21a7468cebe1fb70e861d69b62a8d765857f7 SHA1: ebf27c8dee34e236c0f00c0a45b3d9d9c203a845 MD5sum: 791e3430d4c298089420ef539b7e45db 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1001 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_amd64.deb Size: 160962 SHA256: 7afd8d27144036150e199319479d84c97ffb34d562aa73abd36e28c4eab324fc SHA1: 37824f4771059bf5bcf0fa817484dd441a713bd5 MD5sum: 3b046ee0ab38b6f5fa4535a3266d64fb 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: datalad Version: 0.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python-argcomplete, python-datalad (= 0.2-1~nd90+1), python:any Homepage: http://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.2-1~nd90+1_all.deb Size: 8592 SHA256: 4f7a07483a1966b6bb40a8bf6fc30561123b62652fc1d01c984e93bef8a67349 SHA1: 554fff50c68f67ea5314f7feaa4e2fa92b5a8e3e MD5sum: 9d6b4c489965e053936dd9d9e7a162a4 Description: data files crawler and data distribution DataLad is a data distribution providing access to a wide range of data resources already available online (initially aiming for neuroscience domain). Using git-annex as its backend for data logistics it provides following facilities . - crawling of web sites to automatically prepare or update git-annex repositories with content from online websites, S3, etc - command line interface for manipulation of datasets (search, install, uninstall, upgrade etc) . This package provides the command line tool. Install without Recommends if you need only core functionality. . DISCLAIMER: DataLad is Work-In-Progress and this package is not yet for regular user consumption. Primarily intended for demonstrations and development. Package: dcm2niix Version: 0.20150909.1+git1-g8914c07-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 200 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://www.mccauslandcenter.sc.edu/CRNL/tools/dcm2niix Priority: optional Section: science Filename: pool/main/d/dcm2niix/dcm2niix_0.20150909.1+git1-g8914c07-1~nd90+1_amd64.deb Size: 87762 SHA256: fe110463ed41132ef9ef59b782c5b99396e33d2aee53c2cccf7eb34412cc3900 SHA1: 246207ea8d8eaddb0c3fcb53f4a15f9b5009fcc9 MD5sum: a11a749f639c56a2bc3632cd17e3b249 Description: converts DICOM and PAR/REC files into the NIfTI format This is the successor of the well-known dcm2nii program. it aims to provide same functionality albeit with much faster operation. This is a new tool that is not yet well tested, and does not handle ancient proprietary formats. Use with care. 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 153 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), 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_amd64.deb Size: 37730 SHA256: 71218a074c2f630483c2d2aa0a8a0229b0acc03e7fd6ba43992b5658e1006ee7 SHA1: 6546e6a82fe4030aad210390c443bbc3ee40eda1 MD5sum: da6a889c80437e7799764100567616f4 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: amd64 Maintainer: NeuroDebian Team Installed-Size: 494 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libnifti2, libstdc++6 (>= 4.9) Homepage: http://cbi.nyu.edu/software/dinifti.php Priority: optional Section: science Filename: pool/main/d/dicomnifti/dicomnifti_2.32.1-1~nd80+1+nd90+1_amd64.deb Size: 96024 SHA256: ac161c2c29b71beab13fde477baeaca24f58aba1b22637d844d5a87d3d887561 SHA1: 7f64c065b1cc28e6e9d6218ac10fa83bff612f12 MD5sum: 5adcab481a598bf9e6b076c3370f90b3 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2734 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_amd64.deb Size: 660828 SHA256: e06a002e6e5467f9d2afc317b41fdbd86fd03a0e3f24a4e04c0bbb88e78049b9 SHA1: a7bd1ba8cc217b708a501fa1b12747c280b3182f MD5sum: b25e9f9d78d30fe47afc89e1ec1fcf7a 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 26221 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_amd64.deb Size: 4408002 SHA256: 2859a4d113986cc3c87c329bd401a2b38f0c833572b2f60491c12336ad238374 SHA1: 8ca8dce0e5a9ce0e2a4634b20f546413d4a08ae1 MD5sum: 71b4f4cb15c82d18f5ea9a4291ec6bb9 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 79 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_amd64.deb Size: 26422 SHA256: 0848f7e7c1cc5a9c94bfadf47290ea0e658c9c37e9fc13265d56a7cff5779059 SHA1: c2ab9853e72c65cedcd05d3107728053ce45541c MD5sum: aa3a0f0b470774b47c3d3b91a1a16075 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: 0.9.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1224 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), init-system-helpers (>= 1.18~), lsb-base (>= 2.0-7) Recommends: python, iptables, whois, python3-pyinotify, python3-systemd Suggests: mailx, system-log-daemon, monit Homepage: http://www.fail2ban.org Priority: optional Section: net Filename: pool/main/f/fail2ban/fail2ban_0.9.4-1~nd90+1_all.deb Size: 275412 SHA256: f36d12b73218e843b28c3a4afa46bd2bbcb8798f4eaec3d99b4d7f5ce47513d0 SHA1: 666669ab9655f76ead459dd6f6d8f5d4123e4682 MD5sum: f5b0690ef324bc9d9c246a5bcfb5925b 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. Following recommends are listed: . - iptables -- default installation uses iptables for banning. You most probably need it - whois -- used by a number of *mail-whois* actions to send notification emails with whois information about attacker hosts. Unless you will use those you don't need whois - python3-pyinotify -- unless you monitor services logs via systemd, you need pyinotify for efficient monitoring for log files changes 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 147 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_amd64.deb Size: 44804 SHA256: 48ade7cba087529f3957fae3e97ff052ce8b9cb5559484166d8be5ced9a571ef SHA1: fb875869d7d16da0e660d21ee24bd6a926a0794c MD5sum: 61250dd0f084f5d640455d09c2581378 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 134 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_amd64.deb Size: 37722 SHA256: ca35dd57c811d11604ef8d83303e1ba48bb1c0c7d0cd6a1794df7a0f7db41efd SHA1: 1b385674490828a26d74701b154f2b0e7f76be73 MD5sum: 5a2612f248685f6c4647c1c990769b7c 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 210 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_amd64.deb Size: 79106 SHA256: 3abec74368ebd311a739d1a119b86a6ed81354b834cdc296da46b85f0ea8a7ee SHA1: 60d25c322ff891cc40be5c1c997c27b28894c105 MD5sum: 67a0838525d15067a9153929f80c6cd7 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2887 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_amd64.deb Size: 601166 SHA256: 71f26962d9a4c4a0ee8746633204836cc96f9108d14b132f1e67556c05d9afee SHA1: 78b9fc7e416fd3517cae7a754f48f52b5270d09a MD5sum: 53b66018923528426ee8c4c4fb6f1897 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 12 Depends: neurodebian-popularity-contest, libfreenect-bin, libfreenect-dev, libfreenect0.5, libfreenect-doc Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/freenect_0.5.2+git6-g5455843+dfsg-1~nd90+1_amd64.deb Size: 8494 SHA256: 5411a1cf0530231d374f6e9bf8b8e21c4a02f5385ac6a02a7e41413dec4b2a2f SHA1: c43756d3d46a96346d53a9d8e536ae51c89e6357 MD5sum: 0e22a3daf12ec94ef1b2fac20b0815d5 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 6637 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), 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_amd64.deb Size: 1343764 SHA256: 49298d2ce67d5c3abe763e6030b24d0384056f12630cd574619f0a8bbdce0ee5 SHA1: 77808a5310e4bf0d6e2cbef6ea6c5ee7480aa5d2 MD5sum: 339c370d5399409a45847b699651e945 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: 3.3.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1763 Depends: neurodebian-popularity-contest, python, python-dateutil, python-gflags, python-googleapi Recommends: gxmessage, python-parsedatetime, python-simplejson, python-vobject Homepage: https://github.com/insanum/gcalcli Priority: extra Section: utils Filename: pool/main/g/gcalcli/gcalcli_3.3.2-1~nd90+1_all.deb Size: 1669858 SHA256: e1da96411512bbdce753fb1610f6d15245a50547cd891d4aba6c55b343fee1ce SHA1: 7d321b4e2ddecb10c9192f919c8376ea1f635d17 MD5sum: 81cad400ed04d87e55a7f51fc23fb05f 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 224 Depends: neurodebian-popularity-contest, libboost-filesystem1.55.0, libboost-program-options1.55.0, libboost-system1.55.0, libc6 (>= 2.2.5), 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_amd64.deb Size: 49692 SHA256: dfc3a6143687f78eceee200b45871db0cef1c399c337d50f7d782b6802ec3144 SHA1: 1a87f00e4b45a49c846423161b1b6ab92e4ffbad MD5sum: 1d8fab81b71e641ebe48a0c495cde5d6 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 55466 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_amd64.deb Size: 8433316 SHA256: 261c91747b08b3d5be7c47c5c33bb030e9dd3b584cc50455ee1715010fe1ab56 SHA1: 69b86c1fe598215263b8cbbb1cab016a99b763c7 MD5sum: 17a176e5b6dcd7965a16d29e804ab225 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: 6.20160524+gitg2b7b2c4-1~ndall+1 Architecture: amd64 Maintainer: Richard Hartmann Installed-Size: 404994 Depends: git, openssh-client Recommends: lsof, gnupg, bind9-host, quvi, git-remote-gcrypt (>= 0.20130908-6), nocache, aria2 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_6.20160524+gitg2b7b2c4-1~ndall+1_amd64.deb Size: 29069902 SHA256: 30af7aae8d00c7e9ff5b6b48dd8f00b2d6453ecb70db6b621289e25c35cc669d SHA1: e00f09ce669a4f4210e50eabe4ce48f6b560f9b2 MD5sum: 7c4a606919b181b0b5203b77b2044276 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: git-annex-standalone-dbgsym Source: git-annex Version: 6.20160126+gitg65f4442-1~ndall+1 Architecture: amd64 Maintainer: Richard Hartmann Installed-Size: 45 Depends: git-annex-standalone (= 6.20160126+gitg65f4442-1~ndall+1) Homepage: http://git-annex.branchable.com/ Priority: extra Section: debug Filename: pool/main/g/git-annex/git-annex-standalone-dbgsym_6.20160126+gitg65f4442-1~ndall+1_amd64.deb Size: 9076 SHA256: df13c8d6accff21cae1128fda8e3626634b54097765c744bda4d814a294a4754 SHA1: bf65febb9152d0ab4b069d9ef9ca4b44fc3ea7fa MD5sum: dc4d8ce99c459c96dd4f4a6d010e02ca Description: Debug symbols for git-annex-standalone Auto-Built-Package: debug-symbols Build-Ids: 75d11a3ee55319e6cebcf33286de8df9a39bcaea 75d11a3ee55319e6cebcf33286de8df9a39bcaea Package: glew-utils Source: glew Version: 1.9.0-3~bnd1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 416 Depends: neurodebian-popularity-contest, libglew1.9 (= 1.9.0-3~bnd1~nd70+1+nd90+1), libc6 (>= 2.14), 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_amd64.deb Size: 93182 SHA256: bce4ab7737d7aa2197d10549126a6abb0d098e35f534f2174e24041ee65c0082 SHA1: ebfb22f562fb68764531de12e6a43e969c138175 MD5sum: 4560d4d5498df2feb8b15ecfcd885a17 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 51 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_amd64.deb Size: 14096 SHA256: 717693a50cccf00b8ecb8eaf92ff1571d2c7f7fe730023d6ee4356a00afef434 SHA1: cc37faccaab1de2d77c908ed56bf1ef8bd9538d9 MD5sum: fb736f6605e37244d86a8ff0280e7571 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: heudiconv Version: 0.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 49 Depends: neurodebian-popularity-contest, python, python-dcmstack, python-dicom, python-nibabel, python-numpy, python-nipype Recommends: mricron Homepage: https://github.com/nipy/heudiconv Priority: optional Section: science Filename: pool/main/h/heudiconv/heudiconv_0.1-1~nd90+1_all.deb Size: 10212 SHA256: fd410489a7bda60b3ba01724da25044d079abdce7929d292a0c87de88635bb33 SHA1: b1d0e9f116b86a94db4d8d730ccee1bca0146182 MD5sum: 1204725a882221fd3a4826868a75be10 Description: DICOM converter with support for structure heuristics This is a flexible dicom converter for organizing brain imaging data into structured directory layouts. It allows for flexible directory layouts and naming schemes through customizable heuristics implementations. It only converts the necessary dicoms, not everything in a directory. It tracks the provenance of the conversion from dicom to nifti in w3c prov format. Package: htcondor Source: condor Version: 8.4.2~dfsg.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 12999 Depends: neurodebian-popularity-contest, adduser, debconf (>= 0.5) | debconf-2.0, libdate-manip-perl, python, libclassad7 (= 8.4.2~dfsg.1-1~nd90+1), perl, libc6 (>= 2.15), libcgroup1 (>= 0.37.1), libcomerr2 (>= 1.01), libcurl3 (>= 7.16.2), libexpat1 (>= 2.0.1), libgcc1 (>= 1:4.1.1), libglobus-callout0 (>= 3), libglobus-common0 (>= 16), 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 (>= 1.13~alpha1+dfsg), libkrb5support0 (>= 1.7dfsg~beta2), libldap-2.4-2 (>= 2.4.7), libltdl7 (>= 2.4.2), libpcre3 (>= 1:8.35), libssl1.0.2 (>= 1.0.2d), libstdc++6 (>= 5.2), libuuid1 (>= 2.16), libvirt0 (>= 0.5.0), libvomsapi1v5, libx11-6, zlib1g (>= 1:1.1.4) Recommends: dmtcp, ecryptfs-utils Suggests: docker, 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_8.4.2~dfsg.1-1~nd90+1_amd64.deb Size: 3687330 SHA256: 5033289b2a8eec1881f9ba1b6397ae71ddabc0265cb6b1ca2ec5ee8de97ee2b7 SHA1: 274e8e11e8a4fd951543954f36032f79b22caa8e MD5sum: 569d9b8609b4fd83ee3d05e15b55385c 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: 8.4.2~dfsg.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 36849 Depends: neurodebian-popularity-contest, htcondor (= 8.4.2~dfsg.1-1~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_8.4.2~dfsg.1-1~nd90+1_amd64.deb Size: 34820198 SHA256: 171b229b2d3c40c0c8aae420d092a92e797688c2510d48ed5724f31f5dd44c5b SHA1: 1f76b9eea45edcc5f91f0690131a6344ae3a5e37 MD5sum: f2b93aae5a10fc11e4cf0f7b160da61f 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. 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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: 8.4.2~dfsg.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 6058 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_8.4.2~dfsg.1-1~nd90+1_all.deb Size: 1066946 SHA256: e53815f57a0c3d54515bd133f2a18623c8180f6b2773435bcf90fa0098006594 SHA1: e2a8babac474de938eed74c77552be5c5ec9f45a MD5sum: 5da4843c50b44739c7d57e479ab3711a 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: 0.11.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 436 Depends: neurodebian-popularity-contest, python, python-pygame, python-pil | python-imaging, poppler-utils | mupdf-tools | xpdf-utils (>= 3.02-2) Recommends: mplayer, pdftk, perl, xdg-utils 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_0.11.1-1~nd90+1_all.deb Size: 175628 SHA256: bbf5e949aa516536c8f677bbbca1faeb65c0f9599881d9a7273fdd024606a0b0 SHA1: 7c8c50564c63dad435161d236fbd33c85f85435e MD5sum: 63edc042ded61939ba1d7a9f6cbdb7f2 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 * Support of movies presentation * Active hyperlinks within PDFs 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: insighttoolkit4-python Source: insighttoolkit4 Version: 4.7.0-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 879658 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libfftw3-double3, libfftw3-single3, libgcc1 (>= 1:4.1.1), libgdcm2.4, libinsighttoolkit4.7, libpython2.7 (>= 2.7), libstdc++6 (>= 4.9) Conflicts: insighttoolkit-python Replaces: insighttoolkit-python Homepage: http://www.itk.org/ Priority: optional Section: python Filename: pool/main/i/insighttoolkit4/insighttoolkit4-python_4.7.0-1~nd80+1+nd90+1_amd64.deb Size: 74485030 SHA256: 93c8703372e194d72ad4f327f8c2fe9769a02ce0782c8bf70cb133cd4a231db8 SHA1: fabf81d61137d941816d5c168faf6d8d0ca1cab6 MD5sum: 9dd137d8e8b44c792810730ee78889b9 Description: Image processing toolkit for registration and segmentation - Python bindings ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the Python bindings. Package: ismrmrd-schema Source: ismrmrd Version: 1.3.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 Depends: neurodebian-popularity-contest Homepage: http://ismrmrd.github.io/ Priority: optional Section: science Filename: pool/main/i/ismrmrd/ismrmrd-schema_1.3.2-1~nd90+1_all.deb Size: 5024 SHA256: 47783565e8cf25043a7b556a2b246d873b3c1ceb958483c976a42656adc4829f SHA1: ab4854bd21f47ff471d488fdb44faa6bae9982bb MD5sum: 216c6a39349f3df9045fab732fcef2ef Description: ISMRM Raw Data format (ISMRMRD) - XML schema The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the XML schema. Package: ismrmrd-tools Source: ismrmrd Version: 1.3.2-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 423 Depends: neurodebian-popularity-contest, ismrmrd-schema, libismrmrd1.3 (= 1.3.2-1~nd90+1), libboost-program-options1.58.0, libc6 (>= 2.14), libfftw3-single3, libgcc1 (>= 1:4.1.1), libstdc++6 (>= 5.2) Homepage: http://ismrmrd.github.io/ Priority: optional Section: science Filename: pool/main/i/ismrmrd/ismrmrd-tools_1.3.2-1~nd90+1_amd64.deb Size: 122206 SHA256: 3edb99618d98e65c7feb804cb662a775c3c5c265ef83c125e805de705503e18b SHA1: fae3f3a034c1e51813208db9f3bf92b838507f38 MD5sum: 258a9bf14ecc77d6dccd2130ce20b2bb Description: ISMRM Raw Data format (ISMRMRD) - binaries The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the binaries. Package: itksnap Version: 3.2.0-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 14495 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_amd64.deb Size: 3350358 SHA256: b7431bbc19a88addea14f2436b06d07e22a07082dc783e41418383c0c7366508 SHA1: ee771dff6152b845d363a10261f38e838434bbd6 MD5sum: a67d1c11728c50aa0e3d98f5aa4e4324 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 76 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), 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_amd64.deb Size: 19978 SHA256: ad601aeb95022f3b8c5f18b9c93045c22efaacda23f964912a1687367648e534 SHA1: e6b4483bdc328a0b4036efac49083940bb73a0df MD5sum: 43805661fb5090024f09c871a91210f1 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1743 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_amd64.deb Size: 300010 SHA256: d2df4f17877d5b2bae3105b48ded30a0784adfd60c4e902f7b3ef2e1a7e8e8e0 SHA1: b004a4b99748376c4a387badba5ad99f784a944c MD5sum: 38c432b323de4d0b298c03b617a90065 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 927 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libcholmod2.1.2, libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: libs Filename: pool/main/b/biosig4c++/libbiosig1_1.4.1-2~nd80+1+nd90+1_amd64.deb Size: 277602 SHA256: bfff35a9128e822c3224778899f6e0f9b18c7130f302feb4963d25b10bcc110b SHA1: a7c4e69c1d91bcb20c5c36b47e0644f1257a08a7 MD5sum: dd253db2d86c4368aae8c65f890d01c5 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 355 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_amd64.deb Size: 65438 SHA256: 1e1eec49e150e3740c8f9b7dccbb1017d93bf68038911558c1a253e9beb5353e SHA1: d8ba0bc5f67ab636257e4040c8b76abb67553c1e MD5sum: 822e631f0d48d64822c01680dea79f45 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: amd64 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_amd64.deb Size: 15858 SHA256: 5e103e727bf5927d62faf044d390766f5ee3c6723b01dfb33b9d7d089579ed94 SHA1: 369c0e9ab93d72efb9f92efb9a8fed04b9292ab1 MD5sum: ae064099fba8ee8c76581eb0e1a385c7 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 87 Depends: neurodebian-popularity-contest, libc6 (>= 2.14) Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: libs Filename: pool/main/libc/libcgroup/libcgroup1_0.37.1-1~nd70+1+nd90+1_amd64.deb Size: 32986 SHA256: f7c0e0f092af9687db12c239f4c1f99d2a784de82a6230d59789669dd6cda225 SHA1: f936f96564e136222f44e256d957eca78f68abe6 MD5sum: 3bcbccecc402488267c13b3c8bbc0135 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: 8.4.2~dfsg.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 1424 Depends: neurodebian-popularity-contest, libclassad7 (= 8.4.2~dfsg.1-1~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_8.4.2~dfsg.1-1~nd90+1_amd64.deb Size: 238076 SHA256: da604ed2b1ef098df864fdcbd280785062069ac3a2ee08a17a76c2618656319f SHA1: e6e3342a3f5a6ec0abac36280ffd06164d84b27a MD5sum: 390b99b4c3df9157e9b6deef17e75a16 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: 8.4.2~dfsg.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 616 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libpcre3 (>= 1:8.35), libstdc++6 (>= 5.2) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: libs Filename: pool/main/c/condor/libclassad7_8.4.2~dfsg.1-1~nd90+1_amd64.deb Size: 192032 SHA256: 551f277e5771d44b41259573e0bf7c99aafd2f1ff7fe6036d9e8b220cf347153 SHA1: 9f49b44e61351232d0574f6e5c25cbbe6958270f MD5sum: 8f9cbd713bb45f5b95d88c978c964927 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: 2.0.3-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 288 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libgsl2, libstdc++6 (>= 5.2), libxml2 (>= 2.7.4) Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/libcnrun2_2.0.3-1~nd90+1_amd64.deb Size: 81856 SHA256: 0899d3a27b92dcb050ffaa3aa155e4d9e76c3dcda50943030cebf7ff3af4d985 SHA1: 3d24c4629bf812d8fed3042242a783c1099666d5 MD5sum: 3a41cf036c7c91f417a57235643bc215 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-dbgsym Source: cnrun Version: 2.0.3-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 870 Depends: libcnrun2 (= 2.0.3-1~nd90+1) Homepage: http://johnhommer.com/academic/code/cnrun Priority: extra Section: debug Filename: pool/main/c/cnrun/libcnrun2-dbgsym_2.0.3-1~nd90+1_amd64.deb Size: 836046 SHA256: 338d4f94649f9ff2e0790cf2c1261d9025fa86f6bae5fb36c076794b06785c30 SHA1: 3c8639f4bbc55de919bbdbbaa0faaa73143b18c1 MD5sum: 5f1352505cc14fad5fe50a2601624b1f Description: Debug symbols for libcnrun2 Auto-Built-Package: debug-symbols Build-Ids: 3f319e65a7120c2451555ac83929bf83084514dd Package: libcnrun2-dev Source: cnrun Version: 2.0.3-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 141 Depends: neurodebian-popularity-contest, libcnrun2 (= 2.0.3-1~nd90+1) Suggests: pkg-config Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: libdevel Filename: pool/main/c/cnrun/libcnrun2-dev_2.0.3-1~nd90+1_amd64.deb Size: 25024 SHA256: ef3f23c84d109e022b299ec1a3ea5e801d9a7268c6731e9f432350bea0cddaee SHA1: 5aa190cf8a333e89cd631d94ef5c9701b480f63c MD5sum: 563ba74ab303259b6955afe4d615b6b1 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 117 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_amd64.deb Size: 92386 SHA256: 72f6e116d7eb0c455d3f781b122a4555f4810b96f7eb6484c2d53b3d9e1aa358 SHA1: c176071e749d1e3e336881bc9f44bc3476d0a204 MD5sum: 98c81cd0e961c54d316b2753d08b1f84 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 215 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_amd64.deb Size: 49548 SHA256: f5e633b902c745e2b34451c9415dba9dec30fb4961fcf801510397b7b8b0b650 SHA1: bbfcadd0c71cf6a8485b105f16cc88ef0569455c MD5sum: ddbb297bb8b69ff612ffbc1d79cb4513 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 88 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_amd64.deb Size: 33356 SHA256: f8569b1c96c852648075502087884d0c712efa74eb969070ec6d87049506f223 SHA1: 454e4286386a160e8bdec1abeee34d7288a60438 MD5sum: 06957041f3c202f15e613a45484e725a 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 46 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_amd64.deb Size: 17590 SHA256: cdb486f390f9814bdc4c12ce3bb0be1b2548c4fcb4f90cf3c0a8b89eb86f1f6c SHA1: 965cc73588cc503b6abc36f04ac3d0152ae3147d MD5sum: 5ed495eb12ee8f8227a512ea07465683 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 39 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_amd64.deb Size: 13644 SHA256: ca612d21100825d8d92222b727708c5149bcadf32a25db5a4bc8326c61546a60 SHA1: f2a4aea07b996e1179433ed0e85a292ef83aedc6 MD5sum: 6f6e30bba12a4c623db80aa60999cf9c 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 93 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_amd64.deb Size: 29806 SHA256: b66b428c1989d7f121779a27ce42ab96456331420c224d14e96cb75ab103ee7a SHA1: 9b8328b2bbae2104afd4346f1f85898b1da46931 MD5sum: 3811783eb1443091d7d97c479c67400d 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 7784 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_amd64.deb Size: 915618 SHA256: 64189fa919ee5959a633dbfde316c90e030f903b28a56c639e30886eb308eeef SHA1: 5f207c03131a91932109139220c76004e325c2bc MD5sum: fc8dcbddfa7710a2f16cfc4839b4e222 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5091 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_amd64.deb Size: 823180 SHA256: 72c264d82f70e9d59f51e2e699691875122f19a0d39d1d5fe1c1e02d500380a9 SHA1: 5f92ef54a774c117245d253e2b4dc922b8a27fda MD5sum: 054b284b8b1b392acb882bb3552285ba 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 248 Depends: neurodebian-popularity-contest, freeglut3, libc6 (>= 2.14), libfreenect0.5 (>= 1:0.5.2), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 4.4.0) Breaks: libfreenect-demos (<< 1:0.1.2+dfsg-1) Replaces: libfreenect-demos (<< 1:0.1.2+dfsg-1) Homepage: http://openkinect.org/ Priority: extra Section: utils Filename: pool/main/libf/libfreenect/libfreenect-bin_0.5.2+git6-g5455843+dfsg-1~nd90+1_amd64.deb Size: 55158 SHA256: 5e7950d0b3ae6fbb2e925e92a2a865fdfad443ff35cff6b6ec3c851c37d229bd SHA1: 20d24bbbe5ac838a44719ce45e0fd01442391e57 MD5sum: 4d3ea6594cd357cef32c7b6b4e74b095 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 12 Depends: neurodebian-popularity-contest, libfreenect-bin Homepage: http://openkinect.org/ Priority: extra Section: libdevel Filename: pool/main/libf/libfreenect/libfreenect-demos_0.5.2+git6-g5455843+dfsg-1~nd90+1_amd64.deb Size: 8532 SHA256: 92bd7552f9b75125a3345a00429c010d20870c6a0744c72cf997500d81a81693 SHA1: be41c8f41a1ed1b1a0fe670f7fac4e58f13216a9 MD5sum: cb0c5f19d0aa11917a39ebd67bb5bd0e 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: amd64 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_amd64.deb Size: 19284 SHA256: c00213cb953b67ad4141808df9c81ae9b2a82224a103363bf276f78c76a7f594 SHA1: cc0787228c59a170354af6d0c200c4ce3fbdd661 MD5sum: bfa8c43e8a2906da295d6cd1aed2d282 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 107 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libusb-1.0-0 (>= 2:1.0.12) Conflicts: libfreenect Multi-Arch: same Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/libfreenect0.5_0.5.2+git6-g5455843+dfsg-1~nd90+1_amd64.deb Size: 42182 SHA256: c180a7d2153f16a77fa11807c8a9020ca85e1267a68a0ec61322bf1d75651043 SHA1: 2b5165952be693d7a633b242be8bd1bc18657ef9 MD5sum: 17911ec48b23e462c1614942a573cceb 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: amd64 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_amd64.deb Size: 17388 SHA256: bb6f84afdf72035f9004d9e221388f46995a0ea79099e1ddfda6bf02c714a876 SHA1: 95366efae4c374453f2db0c494b0eddaacf6510f MD5sum: 5ed58c6bdf8f4be6ed56e373624a648a 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 817 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_amd64.deb Size: 146586 SHA256: eb67e146a8bf93ce91952511ef043689be87d64e4795772328c2a0de1cd0c2eb SHA1: f6e80262cd088d0c1ae341197cb697da639590b9 MD5sum: 31e8c0ef247efd399022aee3fdc3cdb5 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3314 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_amd64.deb Size: 546860 SHA256: b5d1a1eb6f4a009a6880ace283d173cfaf4940aa802363aec2d37ee5860662ec SHA1: 42362f7e0895db277cf8937a605a352772691230 MD5sum: b96a634e1ff9e491073b702c2bae3632 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: libghc-network-protocol-xmpp-dev Source: haskell-network-protocol-xmpp Version: 0.4.8-2+ndb1~nd90 Architecture: amd64 Maintainer: Debian Haskell Group Installed-Size: 1632 Depends: libc6 (>= 2.2.5), libghc-base-dev-4.8.2.0-0d6d1, libghc-bytestring-dev-0.10.6.0-9a873, libghc-gnuidn-dev-0.2.1-55c71, libghc-gnutls-dev-0.2-e9479, libghc-gsasl-dev-0.3.6-44bf4, libghc-libxml-sax-dev-0.7.5-5c696, libghc-monads-tf-dev-0.1.0.2-6cb91, libghc-network-dev-2.6.2.1-25f4f, libghc-text-dev-1.2.1.3-50bb4, libghc-transformers-dev-0.4.2.0-81450, libghc-xml-types-dev-0.3.6-f0364 Suggests: libghc-network-protocol-xmpp-doc, libghc-network-protocol-xmpp-prof Provides: libghc-network-protocol-xmpp-dev-0.4.8-ba1a4 Homepage: https://john-millikin.com/software/haskell-xmpp/ Priority: extra Section: haskell Filename: pool/main/h/haskell-network-protocol-xmpp/libghc-network-protocol-xmpp-dev_0.4.8-2+ndb1~nd90_amd64.deb Size: 176130 SHA256: c7db90999c311fde2a488ca4a4c1f883e5164ff3691b638185ae10b72f89ce9f SHA1: e3b81099e5f554410a4754470a3e4765d8c1760b MD5sum: ed0c10db467b967d067f3be344143fdf Description: Haskell XMPP (Jabber) library This library defines an XMPP data type and functions. . This package provides a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell. Ghc-Package: network-protocol-xmpp-0.4.8-ba1a4a5a5f67e9768490e152e5a67893 Package: libghc-network-protocol-xmpp-doc Source: haskell-network-protocol-xmpp Version: 0.4.8-2+ndb1~nd90 Architecture: all Maintainer: Debian Haskell Group Installed-Size: 475 Depends: haddock-interface-27 Recommends: ghc-doc, libghc-monads-tf-doc, libghc-network-doc, libghc-text-doc, libghc-xml-types-doc Homepage: https://john-millikin.com/software/haskell-xmpp/ Priority: extra Section: doc Filename: pool/main/h/haskell-network-protocol-xmpp/libghc-network-protocol-xmpp-doc_0.4.8-2+ndb1~nd90_all.deb Size: 55164 SHA256: 81833a4491c651759b4cfeec459bee321e860d56681dd588e47c69380475202d SHA1: 6d97683ea5cf2cbfd37ef064dbe786e970e97202 MD5sum: fac4a8b7f49ccde1df6012b14266b0f3 Description: Haskell XMPP (Jabber) library; documentation; documentation This library defines an XMPP data type and functions. . This package provides the documentation for a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell. Package: libghc-network-protocol-xmpp-prof Source: haskell-network-protocol-xmpp Version: 0.4.8-2+ndb1~nd90 Architecture: amd64 Maintainer: Debian Haskell Group Installed-Size: 1378 Depends: libghc-network-protocol-xmpp-dev (= 0.4.8-2+ndb1~nd90), libghc-base-prof-4.8.2.0-0d6d1, libghc-bytestring-prof-0.10.6.0-9a873, libghc-gnuidn-prof-0.2.1-55c71, libghc-gnutls-prof-0.2-e9479, libghc-gsasl-prof-0.3.6-44bf4, libghc-libxml-sax-prof-0.7.5-5c696, libghc-monads-tf-prof-0.1.0.2-6cb91, libghc-network-prof-2.6.2.1-25f4f, libghc-text-prof-1.2.1.3-50bb4, libghc-transformers-prof-0.4.2.0-81450, libghc-xml-types-prof-0.3.6-f0364 Provides: libghc-network-protocol-xmpp-prof-0.4.8-ba1a4 Homepage: https://john-millikin.com/software/haskell-xmpp/ Priority: extra Section: haskell Filename: pool/main/h/haskell-network-protocol-xmpp/libghc-network-protocol-xmpp-prof_0.4.8-2+ndb1~nd90_amd64.deb Size: 147794 SHA256: fea05da92847989c9ae5735f2e21c42a6e716a37bbe8669e1d44758b49ae0aa3 SHA1: 0c7306eadcc224d01e534703419b2b0c034892a2 MD5sum: ade974ba56f5a120cd65d68087d4dc26 Description: Haskell XMPP (Jabber) library; profiling libraries; profiling libraries This library defines an XMPP data type and functions. . This package provides a library for the Haskell programming language, compiled for profiling. See http://www.haskell.org/ for more information on Haskell. Package: libglew1.9 Source: glew Version: 1.9.0-3~bnd1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 631 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), 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_amd64.deb Size: 128732 SHA256: d70dab5a5908493247517295ef8f0703a5824a858c7de1d969aeff70a006710f SHA1: d57dc252510e8cc25f1a8a472fe8d7255576f635 MD5sum: 6db0eb263b7140c451be1f3eaf5d2f39 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 160 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_amd64.deb Size: 33520 SHA256: e37397eb8c1a9dd050c41862f7dcd0c84d5ed89c15bdceda5a8c8eee42862f48 SHA1: 5cfac2851b18a3f0d15fb1b0cd2796aef5e24533 MD5sum: 64ac0ec4362bf2fb67378ac635e7263f 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: amd64 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_amd64.deb Size: 109622 SHA256: c41d2d7c06457ecc368000dee09d75502513b8807258520b9ed2b82b122efd16 SHA1: f7484e4f97acf28d6cf0bf73792a9b7cafbe1e99 MD5sum: e47b79dc34b11c398ddfc7721c6aa9ce 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 558 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), 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_amd64.deb Size: 114532 SHA256: 580f10dff7256f54fb434432120ec773d3b1a2725a9b010e8f1fce747ebdc20c SHA1: 7928aa7f7eb0fa6325d1e1b0965c97ce5e9a9d34 MD5sum: 22b5aaf286fa14f945cb3c4dc718e607 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 133 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_amd64.deb Size: 26958 SHA256: d157d134d66d7955847cdf33d3fe5f0b5f7026d06bafbc8e1a370dbe476a2cd6 SHA1: fe76e08c3813826712680c656282ef63d5d86212 MD5sum: 2d615569fa0c103e13ca363e3186d23d 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: amd64 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_amd64.deb Size: 8488 SHA256: 8535410059de8e7d3a39018160daf6d76b3bbb72e06538c9b5fbbc9f376e71f8 SHA1: 568bd266a02ff20c69cbde21f44d5f485901e888 MD5sum: 84b285bba9038b8db83585ac1fa7b7b6 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 133 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_amd64.deb Size: 28644 SHA256: 4bc9d2c2558ddb3927c0462ceefcc5139ecbdc9bc51c71c3c3ebe5e70f2b4d2d SHA1: 47106b823424cc0a15e7b1ec194ebd2352bc50ef MD5sum: 52c2b259dbd60db575b8142a684185c7 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 74 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_amd64.deb Size: 22202 SHA256: e9d9de270f235bc8f401c19baf727b32d8a9fa232b7efbf34ee5f7746acc31c0 SHA1: dd8c80261a3e983223ae888ffcbfc4832d58a79f MD5sum: 79b1a5109830d5a63111266517e3838f 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 45 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_amd64.deb Size: 10950 SHA256: 7edaa19a2b714a95ee47ac1bf4d2a885b221f47c97f17b74d84bfac0d064ece8 SHA1: 5009104c4ad311eaa2e496835ad842fdc47ca423 MD5sum: 38d3e6551ecbeeff4ff1d77ea194115d 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 232 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_amd64.deb Size: 36214 SHA256: b670580d37675e82818b8a5f2b140011e9a3dcdc4b438d3573d6c1dfc443da94 SHA1: 79c1af10e5f6d89d8d64a56343db017086513ab3 MD5sum: e0ac1bc846477e9a8031d56830ee31a2 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 54 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_amd64.deb Size: 15646 SHA256: 3da543c61873766914e80b10cfaf1f81b02cd156d0e8af38603e7acb2306b42c SHA1: f0991bbf649b0d02589de156ad7f0641d37d020e MD5sum: 189143f12a1a57e7f9857f2d98040270 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 78 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_amd64.deb Size: 21728 SHA256: e857b03e79d8caf85cff9912cc508a4548c6ed31fff27d311844f07a1a6b7dbd SHA1: 6398667d6bd9029628321321a653d8efab4c5c3b MD5sum: 6a74e8197a8a36cdf9893aa060052fc3 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: libinsighttoolkit4-dbg Source: insighttoolkit4 Version: 4.7.0-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 42018 Depends: neurodebian-popularity-contest, libinsighttoolkit4.7 (= 4.7.0-1~nd80+1+nd90+1) Homepage: http://www.itk.org/ Priority: extra Section: debug Filename: pool/main/i/insighttoolkit4/libinsighttoolkit4-dbg_4.7.0-1~nd80+1+nd90+1_amd64.deb Size: 37243952 SHA256: f87b0464e6ee6725385838b6f0428d1dc326ceb60315b3cc08b16f84c8efb522 SHA1: 42ae6dcb30b7de9b9d13bc326e514c920eff6d03 MD5sum: 845b08b2a7cff8604077b596aed4b6bd Description: Debugging information for the Insight Toolkit ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the debug files of the libraries. Package: libinsighttoolkit4-dev Source: insighttoolkit4 Version: 4.7.0-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 27420 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libinsighttoolkit4.7 (= 4.7.0-1~nd80+1+nd90+1), libstdc++6 (>= 4.9), libgdcm2-dev, libdcmtk2-dev, libhdf5-dev Recommends: libfftw3-dev, uuid-dev Suggests: insighttoolkit4-examples Conflicts: libinsighttoolkit-dev, libinsighttoolkit3-dev Replaces: libinsighttoolkit-dev Homepage: http://www.itk.org/ Priority: optional Section: libdevel Filename: pool/main/i/insighttoolkit4/libinsighttoolkit4-dev_4.7.0-1~nd80+1+nd90+1_amd64.deb Size: 2948152 SHA256: 9b07ac47dd90635f90cbab24dc31c343be6ab2668c1a174e523e5bb55dd3a353 SHA1: 0a49b32e8777a624527efd88f84701123c90a57d MD5sum: c95dfeeee3537c321e8e3135a824dc0d Description: Image processing toolkit for registration and segmentation - development ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the development files needed to build your own ITK applications. Package: libinsighttoolkit4.7 Source: insighttoolkit4 Version: 4.7.0-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 25927 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libfftw3-double3, libfftw3-single3, libgcc1 (>= 1:4.1.1), libgdcm2.4, libhdf5-8, libhdf5-cpp-8 (>= 1.8.13), libjpeg62-turbo (>= 1.3.1), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.9), libtiff5 (>= 4.0.3), zlib1g (>= 1:1.2.3.4) Homepage: http://www.itk.org/ Priority: optional Section: libs Filename: pool/main/i/insighttoolkit4/libinsighttoolkit4.7_4.7.0-1~nd80+1+nd90+1_amd64.deb Size: 4697678 SHA256: 1ee36547e6fd10fb9d633335e2cc76b5a9a23fd9bfcf1be5b5bc5a07233e0efb SHA1: 12dd841dfd47226c14cd758d76cc5d7acb97f201 MD5sum: d8de8f7c228fc47ad130d56cd8c8a893 Description: Image processing toolkit for registration and segmentation - runtime ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the libraries needed to run ITK applications. Package: libipmiconsole-dev Source: freeipmi Version: 1.4.9-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 518 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_amd64.deb Size: 101842 SHA256: f796205d49eca9732b7f811899deecb885738c8edb47aceb13907b6bc37b8516 SHA1: 77f6534e67f53a19b396b1ceee881fdef2277073 MD5sum: c3201481aec89f16c3601cf9d01f96af 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 266 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_amd64.deb Size: 85782 SHA256: 93dd6878bb02f0d1b39c87cb8b0268dc9d2e2966b0c9f3e310325bc5d39be2ae SHA1: f9168d8a24745b90bd11a8787c07dc5add8b9da7 MD5sum: 2ced60e5cf807da82dca550cc4e150af 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 119 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_amd64.deb Size: 31608 SHA256: 68aabe06020641861dff35b7e62f6b3e149f61cde62a004d416c8ee635114745 SHA1: 047711a1919b4d656ea89d90b3bd27b6f8087c7a MD5sum: 53a42d36a1f17dfc9cb1408a1fb5e0c5 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 75 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_amd64.deb Size: 25644 SHA256: 2aec6300bac296be554a6d2845b5a9a888a25c73780d474d38540004a59030d4 SHA1: d6d4f1a68b0fa5ed4e26815ddce1842ce3f6f340 MD5sum: 32015748b8626156314b060392728bf1 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 323 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_amd64.deb Size: 61602 SHA256: c6b0613ea33667882f8f324fe7053ee2d0a2cc48945a32cac032f62dabcd87f0 SHA1: 0950f607ce83d44f456108de77c58ee70107e8b5 MD5sum: c4723d5c31f480e8f8b942a04c5202ac 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 138 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_amd64.deb Size: 43398 SHA256: 19cf28a06e4ce221b7f52dd5c9f42315451c3ba22ddb0f27ada2153eaeef0f12 SHA1: 4f05b978fba1062b0aa36d745fcbad67ef1d2bc2 MD5sum: c1f260be6b5cefef16b9764520056bc4 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: libismrmrd-dev Source: ismrmrd Version: 1.3.2-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 67 Depends: neurodebian-popularity-contest, ismrmrd-schema, libismrmrd1.3 (= 1.3.2-1~nd90+1) Suggests: libismrmrd-doc Homepage: http://ismrmrd.github.io/ Priority: optional Section: libdevel Filename: pool/main/i/ismrmrd/libismrmrd-dev_1.3.2-1~nd90+1_amd64.deb Size: 13808 SHA256: 4b17d7a61f25fa26f3e071edb161efe859448d967cb1bfe1bc6f2b640a5a9408 SHA1: 9d9cb25f02968c6512101c77499ad38a2ebec6d6 MD5sum: bbc57e529c79b13eed2fb79795950816 Description: ISMRM Raw Data format (ISMRMRD) - development files The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the development files. Package: libismrmrd-doc Source: ismrmrd Version: 1.3.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1987 Depends: neurodebian-popularity-contest Homepage: http://ismrmrd.github.io/ Priority: optional Section: doc Filename: pool/main/i/ismrmrd/libismrmrd-doc_1.3.2-1~nd90+1_all.deb Size: 158250 SHA256: cd29ecf75ed8a2f2c6d14b83f63fe38b4d15ad1220bd2153bdfdf266921d1736 SHA1: 7e43ee7fc12a4f0468d6cd6cb359bd39131f829c MD5sum: 882d568635f9cab550288c0009160547 Description: ISMRM Raw Data format (ISMRMRD) - documentation The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the documentation. Package: libismrmrd1.3 Source: ismrmrd Version: 1.3.2-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 348 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libhdf5-10, libpugixml1v5 (>= 1.4), libstdc++6 (>= 5.2) Homepage: http://ismrmrd.github.io/ Priority: optional Section: science Filename: pool/main/i/ismrmrd/libismrmrd1.3_1.3.2-1~nd90+1_amd64.deb Size: 79098 SHA256: 52965db0ae394674d6e66036c1efd646de41b1d8cfc92922117e36671f16cae8 SHA1: 1d3bffa9a1ad10240c0aaa3fe12ca7b128523ce8 MD5sum: 543d48a6c8e2e4f9973850fdd0e7af01 Description: ISMRM Raw Data format (ISMRMRD) - shared library The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the shared library. Package: libmia-2.0-8 Source: mia Version: 2.0.13-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 27742 Depends: neurodebian-popularity-contest, libboost-filesystem1.55.0, libboost-regex1.55.0, libboost-serialization1.55.0, libboost-system1.55.0, libboost-test1.55.0, libc6 (>= 2.14), libdcmtk2 (>= 3.6.0), libfftw3-single3, libgcc1 (>= 1:4.1.1), libglib2.0-0 (>= 2.12.0), libglibmm-2.4-1c2a (>= 2.44.0), 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_amd64.deb Size: 3859146 SHA256: 07d4e59f7b854e115c797054a4d1eafb4645bc25477c8867919719c92f6edced SHA1: 6ef2d3387b3c24e909e6ae993f5a2d7f93c9c3e7 MD5sum: 6186a8bb6037a8e027f3a9d6ca33af00 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 68673 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_amd64.deb Size: 62327722 SHA256: 25adeee76411411f0a7086f9914647b77e62dba944cbf12b738962b91e735ee1 SHA1: a113b085746aba03b9d88326a1faa903ff0bd7a4 MD5sum: d480e8488d333e668d01c0e9af25e2af 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: amd64 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_amd64.deb Size: 177544 SHA256: 8974a1c30231c10477b7693869cf4e6728a5eb3dcfe56fbe076b6e6ed61439a7 SHA1: b625c6b25822755922f1b707eece03def0da8ea2 MD5sum: 143216100e7fc56d0edfffa325df7ab1 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 438 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_amd64.deb Size: 78000 SHA256: 9a88c0b1ff92d3b11c4832584318e192f1605d98ab4f6d6152bfcc41f3e63038 SHA1: ce7b37dd3bd75d370ddb81fd2a158fecae86bb91 MD5sum: 0c238ec16233c3857eb864ae40ae6207 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 72 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_amd64.deb Size: 18478 SHA256: 82214c5754b9ab084bfb7e69cef0ab1a064160ea0e13116d3d5075d3849718e7 SHA1: aa2cd3e00016cc61eea57b5ca61583dab51ec1a3 MD5sum: 2396f9b33b2f3192d692af2e547d63c6 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 84 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_amd64.deb Size: 58808 SHA256: b5e91f0a1a161ab3ab157ba0d9e5043f07a278261668dd22d1c6a714b0d78f34 SHA1: 8dd70bfed33a54b7a3ac3cbf03ac9b5c205b648c MD5sum: 3347f4a52ebcb8d061a90effbdd0ae17 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: amd64 Maintainer: NeuroDebian Team Installed-Size: 573 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_amd64.deb Size: 137908 SHA256: 647306ef1786b09d4cc2aa541b2d22046d7fd0af6a3a8aa93e7696f6c9e72f21 SHA1: 65eed10a4e74bdd7d1d8e7142804440bac4f0ec7 MD5sum: 0f92ca90ad5870ae6287a1bff098f41c 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: amd64 Maintainer: NeuroDebian Team Installed-Size: 289 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), zlib1g (>= 1:1.1.4) Homepage: http://niftilib.sourceforge.net Priority: optional Section: libs Filename: pool/main/n/nifticlib/libnifti2_2.0.0-2~nd80+1+nd90+1_amd64.deb Size: 107348 SHA256: 961479658cee3fe66b2fcde2cf22310e16fde0d445c32775c7492e2822cc15c3 SHA1: 9888d853f0bc99bec28e03d5bab4138bc31f69dd MD5sum: fcc9652ba0529098e553de68b50ab39d 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 618 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_amd64.deb Size: 173880 SHA256: 1d0704ba84611e1bebff6e497934682d3e12b6f8c84fb4694d6b8e2f2116cb61 SHA1: e39d4abfd8ecb3b8302a0ee0b3616deca02271fb MD5sum: 294f01be202ea8237e9b2ccb82f7d429 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 152 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd80+1+nd90+1), libc6 (>= 2.14), 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_amd64.deb Size: 37420 SHA256: 26d4cc203706d52bca4221a629f0f5f9c22d60fd9dd05a2a262431901f11b3a3 SHA1: ff00b7b1781dd326fab3882f78c1309e8fffede2 MD5sum: fd1382d42eb3b30188b44ab04ff38e63 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 449 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_amd64.deb Size: 164904 SHA256: 2802684981a3fe8a9123dae7ab236d41eb5f36c758571483d0eb6b5f2476a83f SHA1: 1b661bd09e30adddc8c3d8fa5c5dda8dbf320868 MD5sum: dc21eb048fef1504668480a6fa703b1b 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: amd64 Maintainer: NeuroDebian Team Installed-Size: 25678 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_amd64.deb Size: 2631396 SHA256: be2f9382ebdd8e81f4a48f6e7dbbb1e683c276d58d57bca5d368c7a12ac28bcc SHA1: 0e36540fd3ff01f54e6924497c81d2561590e2c2 MD5sum: 74828bb1a11f5616bb735c7db08255df 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 7003 Depends: neurodebian-popularity-contest, fonts-liberation (>= 1.0.0), libboost-date-time1.55.0, libboost-filesystem1.55.0, libboost-regex1.55.0, libboost-system1.55.0, libboost-thread1.55.0, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libopenscenegraph100, 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_amd64.deb Size: 1313540 SHA256: ef03128ddbd5c274fd24139ba8a1062e461a2f776341172badaf70c55574922a SHA1: fe0a584c6ac592560bd2dffce3b9cd56046c0bd9 MD5sum: 10a4fea50d576c1435f822918878784e 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: amd64 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_amd64.deb Size: 248428 SHA256: 1b06e3625c1279ff610cb1703578add95f50c96eee4a534380a03813cf9e5bf3 SHA1: 0776cf997025e54a1436d705c96ecec87f2231d7 MD5sum: ce0cb4ab3d26cceffa411f3fcbd8f7f9 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 22 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), 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_amd64.deb Size: 7232 SHA256: 24f3fcdcf9e0fbfeed93663b9725d910ef2c113a07bf74daf3906962c393f238 SHA1: 1cfbfeda3fad371ecadfbcfecfcfb83b58acd299 MD5sum: 800ab4872eefdbc98a1b0f096b54a08b 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: amd64 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_amd64.deb Size: 12064 SHA256: b58067d474dd7379ab6cf5a5dac855bfa71ef4d5557887d57b49e766eecdbf67 SHA1: aef172a9a441bbe36980578c4f993747db40ba3d MD5sum: 5d52bc17d100a42fb84640254b3e98de 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 78 Depends: neurodebian-popularity-contest, libc6 (>= 2.14) 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_amd64.deb Size: 31186 SHA256: a299e3c2abfff4c38615e14945f8f9a4e63917f3e8ba7e5d141981b47dc5d065 SHA1: 8ae53a8b385d9c74ecb03b2d50a6aed439af3667 MD5sum: 658921be9b8a63113d888ff0b113a394 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 53 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_amd64.deb Size: 38670 SHA256: aa56a9afc4e365fed280150cb407eebd0194404ac82be3d88e24694157378609 SHA1: c434c771e5062b24b375b879736aa53bda18337a MD5sum: c5a24a6ac43cc6dac06485921052f193 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: amd64 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_amd64.deb Size: 108330 SHA256: 7dde97f1166d8613d549cfe74f4971b455862c4340bea8e1a5194cc92c02dbd1 SHA1: 6616f8220ab0c197b1ffaecf833d7a6e26b847a1 MD5sum: cfccea4d4b09b1c68f9f2e46cf185506 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 112 Depends: neurodebian-popularity-contest, libc6 (>= 2.14) Homepage: http://mia.sourceforge.net Priority: optional Section: libs Filename: pool/main/libv/libvistaio/libvistaio14_1.2.16-1~nd80+1+nd90+1_amd64.deb Size: 37832 SHA256: 23f9ccf9fb38b08efe6ee29ff1ecbdf6b1bf7b518fdfb3b7ba741022100f7721 SHA1: b62f7aa8323c24c3ca80e8b80b57ec780e9bca50 MD5sum: 87b48bb8e32db07bf51058587af91fec 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 101 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_amd64.deb Size: 77730 SHA256: 8d19bb84b980262c3fe481aa9f6e757c72fd1b4ad877a46c33745f6f1a65eb1e SHA1: e4477be25cf2f556dad59dbbd004b436fda52091 MD5sum: 6c00f20eb83d60f5fed3ac927285b78e 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: amd64 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_amd64.deb Size: 185236 SHA256: bd659e4132962846039dd588fdfa6b3263525d0bb0114817736b7d4cbfad85b1 SHA1: 496de2b6d7d4eb31bbbc881eec0fafa2fc131361 MD5sum: 4840e8a20b79901a7c41c216299e22cf 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 569 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_amd64.deb Size: 186876 SHA256: 34e4ebfda14a40482ce95dfd427ccaf00f698828e2442a97606318ea4a3e41f0 SHA1: 733e663c9dbcc7c0f9140e98792abcd4418350b0 MD5sum: 1684d35d6eb174431d4957ac6f0f353a 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1342 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_amd64.deb Size: 372600 SHA256: bc359d50d8cf893d5b056998a90e6198975cdc25c3acfbfbe554dc4f0175e254 SHA1: 626e13b58e1ad31cfb1ca675adb0e32fde3c516b MD5sum: eeb394f1542c2d4d61ebda493789414f 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 276 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_amd64.deb Size: 74106 SHA256: 8fd5fb842908ca6cbff0c349ce274bcaac408c4efbf15850da5334fb54a26461 SHA1: e100dedc83c8955e9f7e4e91f594e170b3feaff7 MD5sum: f2438315c9a0f24b81bba93deb548a3f 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1876 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_amd64.deb Size: 456220 SHA256: d6089ca4e0ad198d50e0dd54e2404c0fb0927c5609ce9df64532348ffc05df4f SHA1: 81c627becb7f9aae08bcdbd70680e17dc014a3bb MD5sum: fb7d2373dc4915b59a23505a45836fc9 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: amd64 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_amd64.deb Size: 80876 SHA256: 68f6d8b613e705fd3b68200ea6945a950935f0f04b1186606f4de36dbfccf3fd SHA1: b36dbed330d204797b9cdbc91b1cf5a0cf84c954 MD5sum: a58040c1dc0eb6c60828ba11cf111322 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: amd64 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_amd64.deb Size: 27252 SHA256: d95f60ca7e3a24424000e1936c520439ee334f98c57761f4b94e2b326c71d445 SHA1: 5d0a79abbd8692cb6120d2be8a68cc8dd813f0b9 MD5sum: 3bb32c1d1914d34e575ec1541a96cffc 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 106 Depends: neurodebian-popularity-contest, libc6 (>= 2.14) 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_amd64.deb Size: 39382 SHA256: 18e4e6acc800cd8a10f929f23a57301fd89c501202a312eafc0791ed17d0f5fb SHA1: efff3c014a808163de8aa857fe6d0dce996c4cea MD5sum: 017752b86258cec5bed16e523f30ec48 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 96 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_amd64.deb Size: 76392 SHA256: 769a0f3e6df6fe97c96e65ffecaeccc1eb67f8d763118d39c50bc0c23b53b320 SHA1: 0f54d83a2d852fbb13bf9fe09d96249bd41821b0 MD5sum: a7684d361aaeb30ef2eba125202cf0bb 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: 2.0.3-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 124 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_2.0.3-1~nd90+1_amd64.deb Size: 41606 SHA256: b45f08edbd46d5ffe66b9aa622aca8dee8136312dd4a192256f9dbbdafcb18af SHA1: 2c7e1a33fbeb6acc37f8ea584bb50071f0034a93 MD5sum: 2c1ce66cc1e4c4008b6410ae6245538b 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: lua-cnrun-dbgsym Source: cnrun Version: 2.0.3-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 277 Depends: lua-cnrun (= 2.0.3-1~nd90+1) Homepage: http://johnhommer.com/academic/code/cnrun Priority: extra Section: debug Filename: pool/main/c/cnrun/lua-cnrun-dbgsym_2.0.3-1~nd90+1_amd64.deb Size: 250930 SHA256: ea061940a7a8b3973da6ab60e8528cb0b0ebc837348b1f7624a9ef40696df86c SHA1: 2045354d75dbff920dce1c77760f8002020dee66 MD5sum: 994fe287a7d86122b3ed0d425029e74e Description: Debug symbols for lua-cnrun Auto-Built-Package: debug-symbols Build-Ids: 0599322c8832084e69e7c9ae26d2167fa9224e1c Package: matlab-support-dev Source: matlab-support Version: 0.0.21~nd90+1 Architecture: all Maintainer: NeuroDebian Team 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_0.0.21~nd90+1_all.deb Size: 7514 SHA256: 70e460df62d8e62f429592dd9223cbc009adf3f0409340eb0345a1a3c730b037 SHA1: 1d4018d1abd28a97c88b67824194116e817c516b MD5sum: fd6d59f8278c996b8a4f2f245113ea76 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 8758 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 (>= 2.14), 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_amd64.deb Size: 1468616 SHA256: 18deb8bea66604e7b1e97cbb21facf45148d479521156798fd98775beec1a1c5 SHA1: 40a2d7d13f9888011c194021dac30c7d16556b9b MD5sum: ae520bc4e5d0c2163290ffc990475656 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 29400 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_amd64.deb Size: 27005758 SHA256: 09872e516431a8e170c51ccc0b41f291e38ab31a5c26ce02fbd3eb566064019f SHA1: 902d234db10ed0ee375e8920c7c74c549b4766b9 MD5sum: 226597b297ae61e85897e5dd46c98bf4 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 203 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_amd64.deb Size: 69850 SHA256: 0f15b6e1e5bc550f061d295c47c6263e9c29d79281736349068731dbc3f782bc SHA1: a00f8ca62998177318ad1b4caf3bb063c64c4291 MD5sum: 3b781917446258d7f297bdb47857d031 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 203 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_amd64.deb Size: 164496 SHA256: a67113fc014c1b4df90e2dcffa80932a90f71df763ed37a62c951a8add977dfc SHA1: 479facaf2e0ad1bf4347c6637fa31fdfbc56e730 MD5sum: 9a469c2648bff88f76aa2d4b3fc34b73 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: amd64 Maintainer: NeuroDebian Team Installed-Size: 8264 Depends: neurodebian-popularity-contest, libblitz0ldbl, libc6 (>= 2.14), 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_amd64.deb Size: 2035308 SHA256: f08d52600a9d8c091d7b28f8e2f05895383d57913e1cd05a329c328c9d6b537c SHA1: c01f32713f4cc0afc1d4925d276250149ac2ad5b MD5sum: 7cedebabb868891a9503c4a500d33f72 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5740 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_amd64.deb Size: 847486 SHA256: c78eb31f472c6c640e723b7fdab1d4ae5db34a39e64f0bac63160f18c87c8008 SHA1: aa2ca5eb05a3b51d08f49d18b6dee0ef9333ae9b MD5sum: f9776df1380f82f1d14bda720b131346 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: amd64 Maintainer: NeuroDebian Team Installed-Size: 16493 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libc6 (>= 2.2.5), libcairo2 (>= 1.2.4), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.12.0), libgtk2.0-0 (>= 2.24.0), libpango-1.0-0 (>= 1.14.0), libx11-6, mricron-data Recommends: pigz Suggests: mricron-doc, fsl Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: science Filename: pool/main/m/mricron/mricron_0.20140804.1~dfsg.1-1~nd80+1+nd90+1_amd64.deb Size: 2247616 SHA256: b30c3a09d9fbb869cb520539c8220905864d7580d6338068c233230ffa4b93c0 SHA1: ef5966a89c5e94c0b2433d4f404f236ed0fd4fa4 MD5sum: b8a640525c643cac136aa60277ae8a4f 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: mridefacer Version: 0.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 647 Depends: neurodebian-popularity-contest, fsl-5.0-core | fsl-core Homepage: https://github.com/hanke/mridefacer Priority: optional Section: science Filename: pool/main/m/mridefacer/mridefacer_0.1-1~nd90+1_all.deb Size: 636972 SHA256: 9813c8335d1487a8e918a599444815c91d13f6e54c60ed4f8008468bd795670d SHA1: 87a0e6b40f52b7dbc9ea6be68c3a14869c932873 MD5sum: 452a003a446b82260057a35271bd0596 Description: de-identification of MRI data This tool creates a de-face mask for volumetric images by aligning a template mask to the input. Such a mask can be used to remove image data from the vicinity of the facial surface, the auricles, and teeth in order to prevent a possible identification of a person based on these features. mrideface can process individual or series of images. In the latter case, the computed transformation between template image and input image will be updated incrementally for the next image in the series. This feature is most suitable for processing images that have been recorded in temporal succession. Package: mrtrix Version: 0.2.12-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 9217 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libatkmm-1.6-1 (>= 2.22.1), libc6 (>= 2.14), 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_amd64.deb Size: 1345296 SHA256: 4004a8ff98189c68c0fe08b140d9c96ff25df6af76458193e11f7a69e9662544 SHA1: 4202b96187326498412383e437b4875a83b3af75 MD5sum: a52c69f4c26ef65fb2d794d63391256e 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 302 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_amd64.deb Size: 213764 SHA256: 33cd7388cb0c1fc8570c6d96c14549ff51a72b0ff9ccf64e8d75146149328682 SHA1: 25623600886b3aba2c6ece99288757e1aa141b67 MD5sum: 8e6af744e4aa91254cbdff3e645f81ee 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 64 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_amd64.deb Size: 30794 SHA256: 94a2eb14d0d783f0e4f3aa83e875f6190d8328204efcdddf4c856d2d774efab3 SHA1: 3cb731a327787034c16c98b13dc8198c11ba3e10 MD5sum: 240c2d3b3c182575bddcf603a2fc56d8 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: 0.37.4~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 88 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_0.37.4~nd90+1_all.deb Size: 33180 SHA256: d59ffcf6256d49cb6cd8d9ae64b59b640a17395b618b202e0f54d91358e1bccc SHA1: 4a78f23931971ed59b2ba73b0444bb14abbdda85 MD5sum: dc59e687ee5f0f4d938aaff97980e267 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: 0.37.4~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_0.37.4~nd90+1_all.deb Size: 10184 SHA256: 9bfb2dc068d7528b4b6843a42e52b52cd246c0bde198137bedfd5b0418297306 SHA1: aad4b3854802adb45f8d36b727e708c84300a106 MD5sum: cb80a2c2e58a5a64c9e4cd1d7d9cb7b2 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: 0.37.4~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 189 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_0.37.4~nd90+1_all.deb Size: 116186 SHA256: e333f91b50d9f93596ad8d79f8bb18d695725ef0dee6c0b309420ad2959dd957 SHA1: 644311ef768c66386807a14642d99845e2587e72 MD5sum: 6d2faacb1cbdc8c4fae18c68ee6fb5b6 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: 0.37.4~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_0.37.4~nd90+1_all.deb Size: 32536 SHA256: ad984f8fee4c7bd2eebba3498a1b8704b221621f8fdf15cdc22a421699f40716 SHA1: 7608f198df6aca9c537f00613d3c266bac07780f MD5sum: eb00173980d41eb813160c046ae7331c 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-guest-additions Source: neurodebian Version: 0.37.4~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 141 Depends: virtualbox-guest-utils, virtualbox-guest-x11, virtualbox-guest-dkms, sudo, neurodebian-desktop, lightdm | x-display-manager, zenity Recommends: chromium, update-notifier Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-guest-additions_0.37.4~nd90+1_all.deb Size: 16772 SHA256: b77a047dd618d191239d84a1141e1276085d1358846c56904f81a417b80391ad SHA1: 94e0469f5a9cd9ebdfee86e60a5dfcc54830dac1 MD5sum: c194435630c148c7a93db90903f96a5b Description: NeuroDebian guest additions (DO NOT INSTALL OUTSIDE VIRTUALBOX) This package configures a Debian installation as a guest operating system in a VirtualBox-based virtual machine for NeuroDebian. . DO NOT install this package unless you know what you are doing! For example, installation of this package relaxes several security mechanisms. Package: neurodebian-popularity-contest Source: neurodebian Version: 0.37.4~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_0.37.4~nd90+1_all.deb Size: 12204 SHA256: 70b76cf09892afed4acac260250206eb551e9355d68bc49f6109cba06cfb3f47 SHA1: 4056b6e59f3feeb58defd3331742faa132594f87 MD5sum: cff4bdd0de954e8e68074e1e3c134de6 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: amd64 Maintainer: NeuroDebian Team Installed-Size: 154 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_amd64.deb Size: 55396 SHA256: a49649ccbad9197fb3ecb2745449140838201217ab45c5c783399577a431e731 SHA1: 15c160025b2e6adeae03e35f4e64c53a547d43e3 MD5sum: 6e2aa35c3facf71df57b6630935481e5 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2458 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_amd64.deb Size: 363680 SHA256: 27accaea41123ae8af24fbfc0c8e9e53fde90642daf0783e190710471fdbb159 SHA1: 57cd070cd32490e3d3bddbcc50be947e2b74b932 MD5sum: 9d2a04558de6e42d8f3c362cb82bddbf 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: 0.5.21.2+ds-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2919 Depends: neurodebian-popularity-contest, g++-5 | 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 (>= 2.7.5-5~) 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_0.5.21.2+ds-1~nd90+1_all.deb Size: 611616 SHA256: c016da15ad7fbd34dae8381a0f9d607b7298d9311de9631c77272482715a92d8 SHA1: ac2cfc2bf487417e8fc41aadd07a8594c322d6a8 MD5sum: 1872b40cd106bec56260d4bd25e73be6 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 872 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_amd64.deb Size: 570134 SHA256: 9a2ac350f65b62f46c92cffedb660d5ed897bed8e426bab0749cd24cd286b7f5 SHA1: c102c215eba76bc4b5fce62610ae99104b00ece2 MD5sum: 3c911283c10a68dce0d31dff89ed5d99 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 84 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_amd64.deb Size: 19876 SHA256: cebf57f465d5b7567477ad5348a4eec2c4e5b20108ae5f52b3c34b0a4c680404 SHA1: 3364ad4bd7ebf29c94ad9029626a779a7e60be6b MD5sum: 2ccd99945ba3668d1e26da5fdc15e8c8 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 349 Depends: neurodebian-popularity-contest, octave (>= 3.4.3-1~), libc6 (>= 2.14), 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_amd64.deb Size: 89814 SHA256: f73755359dda185d22f7e0425fbb3dbbbe4f37afaa8e891cf7f68eb16ba2e138 SHA1: 577320c6a82c0b561e760e27d2fae474dce4ec4e MD5sum: 58f9eedb8d4027c1477746a47e1eee61 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 164 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd80+1+nd90+1), libc6 (>= 2.14), 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_amd64.deb Size: 33612 SHA256: 1f1c2e64fb170da1626f52a46bf45a1d94fb7f176bf1cf629f15408482ab2d0d SHA1: cfb9bb590d0ae762a871e57fe486ef7a806aa37e MD5sum: b5851e54dc923fb3d98982eaa49a3231 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: 3.0.12.20160514.dfsg1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3559 Depends: neurodebian-popularity-contest, octave (>= 3.4.3-1~), freeglut3, libasound2 (>= 1.0.16), libc6 (>= 2.14), libdc1394-22, libfreenect0.5 (>= 1:0.1.1), libgcc1 (>= 1:3.0), libgl1-mesa-glx | libgl1, libglew1.13 (>= 1.12.0), libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libgomp1 (>= 4.2.1), libgstreamer-plugins-base1.0-0 (>= 1.0.0), libgstreamer1.0-0 (>= 1.4.0), liboctave3v5, 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), libx11-xcb1, libxcb-dri3-0, libxcb1, libxext6, libxfixes3, libxi6 (>= 2:1.2.99.4), libxml2 (>= 2.6.27), libxrandr2 (>= 2:1.2.99.3), libxxf86vm1, psychtoolbox-3-common (= 3.0.12.20160514.dfsg1-1~nd90+1), psychtoolbox-3-lib (= 3.0.12.20160514.dfsg1-1~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_3.0.12.20160514.dfsg1-1~nd90+1_amd64.deb Size: 741250 SHA256: 8d0ce3e5cd9f1ab1f929cbe934fe23e4f29855b7f8cedc7bc120582e2af0b1ae SHA1: c8fe219fffd0d4e9542d0417558f2a5e498fd643 MD5sum: c8772c26f68273866b9307f94fc1eab5 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: amd64 Maintainer: NeuroDebian Team Installed-Size: 4436 Depends: neurodebian-popularity-contest, libblitz0ldbl, libc6 (>= 2.14), 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_amd64.deb Size: 1279254 SHA256: 01da968248ded6714d7de38b99d13d4de7aad4c473328e768a662b2f14ab691d SHA1: 2f68317854bb53c320056b32a62132921c27f9af MD5sum: bc75864a376002de6911c94897264655 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 22134 Depends: neurodebian-popularity-contest, libbiosig1, libboost-filesystem1.55.0, libboost-regex1.55.0, libboost-system1.55.0, libboost-thread1.55.0, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libnifti2, libopenscenegraph100, 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_amd64.deb Size: 3620104 SHA256: 1ffd3ad5e8d7c0c14f8e60fc671d4e0c3a4835bff70b9aeed6b2f6dd8ca38d4f SHA1: 0677edb93115f5bad04af628e22b1e8577279b7e MD5sum: 6e1813b16f8f191b2e70548363f91ced 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2156 Depends: neurodebian-popularity-contest, libboost-filesystem1.55.0, libboost-program-options1.55.0, libboost-regex1.55.0, libboost-system1.55.0, libboost-thread1.55.0, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libopenscenegraph100, 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_amd64.deb Size: 756524 SHA256: 887b06586e8885a7df4921264bc45fae389b12c4cbe4b0ff173b3edf6c9e2be4 SHA1: b8f66130ad8f2dd4d3905eeddf31b36e0cd62fe3 MD5sum: 9f6f23646dd65110ee902ce97efc7c97 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: 1.83.04.dfsg-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15088 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-opencv, python-imaging, python-serial, python-pyo, python-psutil, python-gevent, python-msgpack, python-yaml, python-xlib, python-pandas, libxxf86vm1, ipython Suggests: python-iolabs, python-pyxid, libavbin0 Conflicts: libavbin0 (= 7-4+b1) Homepage: http://www.psychopy.org Priority: optional Section: science Filename: pool/main/p/psychopy/psychopy_1.83.04.dfsg-2~nd90+1_all.deb Size: 6134548 SHA256: 0bd2955e77566512ccc5b15f7273924031b02b022300039b606ca55948a82c70 SHA1: bfc14d007712702cfdec7cb2256204154986bf68 MD5sum: 77e2b854c9ac34c57c2261b0bc24b3a0 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: 3.0.12.20160514.dfsg1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 253491 Depends: neurodebian-popularity-contest Recommends: alsa-utils Suggests: gnuplot Homepage: http://psychtoolbox.org Priority: extra Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.12.20160514.dfsg1-1~nd90+1_all.deb Size: 24134100 SHA256: 0774e02562e538895b71b484e5dfdc5caee6eacb01c97609b7bf2ef4666ef872 SHA1: f1d186187d8a0093930f67dd884488fee683a7b7 MD5sum: b4087f20fa93f84cde9cdb5933f238d7 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: 3.0.12.20160514.dfsg1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2937 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.12.20160514.dfsg1-1~nd90+1) Homepage: http://psychtoolbox.org Priority: extra Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.12.20160514.dfsg1-1~nd90+1_amd64.deb Size: 603912 SHA256: 2ce8bd0c7667d44d25b0f8c3ca802b39b73db56b9b21c04c13d4dc5e308c9b75 SHA1: 28dd82807d2ed8d72ed11f31d36c7750e7a656bf MD5sum: be3287c4f1b2b7afd5a6108950a4a716 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: 3.0.12.20160514.dfsg1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 188 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libfontconfig1 (>= 2.11), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:3.0), 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_3.0.12.20160514.dfsg1-1~nd90+1_amd64.deb Size: 72372 SHA256: 36ba9083c3d9d467ebf498b277a7c7c5a57e633c0457962234d5007f6d543d1e SHA1: d4f879381ca22786916c997852d782ebf1c237e8 MD5sum: f5572c72caa2843a95a6047a06ad67b9 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-argcomplete Version: 1.0.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 113 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Priority: optional Section: python Filename: pool/main/p/python-argcomplete/python-argcomplete_1.0.0-1~nd90+1_all.deb Size: 25860 SHA256: 9770b9ab43c4c2d9278efb849353440e401bd6597a145741a41ddb0a7b28ee2b SHA1: 7902f84d52f282728cea4a6593ce5677265a01d9 MD5sum: 669cb251550f489e0a3ddaf00626b287 Description: bash tab completion for argparse Argcomplete provides easy, extensible command line tab completion of arguments for your Python script. . It makes two assumptions: . * You're using bash as your shell * You're using argparse to manage your command line arguments/options . Argcomplete is particularly useful if your program has lots of options or subparsers, and if your program can dynamically suggest completions for your argument/option values (for example, if the user is browsing resources over the network). . This package provides the module for Python 2.x. Package: python-biosig Source: biosig4c++ Version: 1.4.1-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 220 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.8.0), python-numpy-abi9, python-support (>= 0.90.0), libbiosig1, libc6 (>= 2.14), libcholmod2.1.2, libgcc1 (>= 1:4.1.1), libpython2.7 (>= 2.7), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: python Filename: pool/main/b/biosig4c++/python-biosig_1.4.1-2~nd80+1+nd90+1_amd64.deb Size: 42586 SHA256: cfd06e3c5ccfbce94295f39b5f3ec4017d901ecccdd736801d280ed1c46cc67f SHA1: ed7bd9ad22d382058441be7f8231e75c8f599a51 MD5sum: 6e953e3faf3c49cf544a3a5d329e259b 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: 1.4.3-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2456 Depends: neurodebian-popularity-contest, python-matplotlib (>= 0.90.1), python-numpy (>= 1.3.0), python-scipy (>= 0.7.0), python:any (<< 2.8), python:any (>= 2.7.5-5~), python-brian-lib (>= 1.4.3-1~nd90+1) 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_1.4.3-1~nd90+1_all.deb Size: 401758 SHA256: 26b36aeba8693591db3604ded9e5852ae651a5766193e0bfea7d5aab171d0f31 SHA1: c2f7d445d3c681da9cce12435170627f94cee2db MD5sum: 452096fa5825d8ab802bf5a6f501e378 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: 1.4.3-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7329 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_1.4.3-1~nd90+1_all.deb Size: 1985698 SHA256: 835c5afdbb4fb11f14d66598ecc38cb5a843a79b3f1bb0dac172168999441e61 SHA1: 8f96312d74a074629b85cd1958684525730613ad MD5sum: 5fbe363a3b8a2cd72948371cd7b9d00b 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: 1.4.3-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 159 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Homepage: http://www.briansimulator.org/ Priority: extra Section: python Filename: pool/main/b/brian/python-brian-lib_1.4.3-1~nd90+1_amd64.deb Size: 40920 SHA256: 109844514529d814867639565f781c78fe7056af915c326cebbe1338f6de14d2 SHA1: 2b76c103b0d78fad717ac3d2467be07fd74fd1e4 MD5sum: 54fe7cba551ca4e42edf5b25327dfeb4 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-brian-lib-dbgsym Source: brian Version: 1.4.3-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 167 Depends: python-brian-lib (= 1.4.3-1~nd90+1) Homepage: http://www.briansimulator.org/ Priority: extra Section: debug Filename: pool/main/b/brian/python-brian-lib-dbgsym_1.4.3-1~nd90+1_amd64.deb Size: 133750 SHA256: c5742e18aa282a7d1431588b6b2d80263a06038da68b3925388f590d5cd426f5 SHA1: 92ad02a5bd3d2a531fe316d7366b218688218542 MD5sum: cdd24118cfe25b65e3821d3c01ce8d05 Description: Debug symbols for python-brian-lib Auto-Built-Package: debug-symbols Build-Ids: 024671780bd6f8afd5efd3aa2b9f7b290f1cced2 f2d873ece738c4437a5f3cc58a6f4ff2d5dadcd6 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-contextlib2 Source: contextlib2 Version: 0.4.0-3~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://contextlib2.readthedocs.org/ Priority: optional Section: python Filename: pool/main/c/contextlib2/python-contextlib2_0.4.0-3~nd90+1_all.deb Size: 8662 SHA256: 30037e9a438387a47f50b5d1d066cc01c56d74a9058caa4692d76ccb7fff9ac7 SHA1: 844fcf185faf677382fcb2e8b9632fe858c07873 MD5sum: 2143c9cc6e11f28cf85623860e3524e3 Description: Backport and enhancements for the contextlib module - Python 2.7 contextlib2 is a backport of the standard library's contextlib module to earlier Python versions. . It also serves as a real world proving ground for possible future enhancements to the standard library version. . This package contains the Python 2.7 module. Package: python-datalad Source: datalad Version: 0.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1216 Depends: neurodebian-popularity-contest, git-annex (>= 6.20160425) | git-annex-standalone (>= 6.20160425), patool, python-appdirs, python-git (>= 2.0.2~), python-humanize, python-keyrings.alt | python-keyring (<= 8), python-keyring, python-mock, python-msgpack, python-progressbar, python-six (>= 1.8.0), python-boto, python-requests, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-html5lib, python-httpretty, python-nose, python-numpy, python-scrapy, python-testtools, python-vcr Suggests: python-bs4 Provides: python2.7-datalad Homepage: http://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python-datalad_0.2-1~nd90+1_all.deb Size: 225572 SHA256: 0c05844eefba215b55d742f7e9759ac1e5de88e99b3d1c386561ffb854dc0d74 SHA1: 71a7c7074fdbe2f725575d9b5e27e3d33ead2550 MD5sum: da07f1e44fbbb89c30b0e0c02469a215 Description: data files crawler and data distribution (Python 2) DataLad is a data distribution providing access to a wide range of data resources already available online (initially aiming for neuroscience domain). Using git-annex as its backend for data logistics it provides following facilities . - crawling of web sites to automatically prepare or update git-annex repositories with content from online websites, S3, etc - command line interface for manipulation of datasets (search, install, uninstall, upgrade etc) . This package installs the module for Python 2, and Recommends install all dependencies necessary for crawling and testing. If you need base functionality, install without Recommends. . DISCLAIMER: DataLad is Work-In-Progress and this package is not yet for regular user consumption. Primarily intended for demonstrations and development. Package: python-dcmstack Source: dcmstack Version: 0.6.2+git33-gb43919a.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 509 Depends: neurodebian-popularity-contest, python-dicom (>= 0.9.7~), python-nibabel (>= 2.0~), python-numpy, python, python:any (<< 2.8), python:any (>= 2.7.5-5~), libjs-sphinxdoc (>= 1.0) Provides: python2.7-dcmstack Homepage: https://github.com/moloney/dcmstack Priority: optional Section: python Filename: pool/main/d/dcmstack/python-dcmstack_0.6.2+git33-gb43919a.1-1~nd90+1_all.deb Size: 77446 SHA256: 4ae24436da15707dc9c69956c6f774fad589a8d849689a2dbfb65e8f07147dfa SHA1: 21c67443d0d1770214c5126d99314cc99924cc4e MD5sum: 3fb6313f751296b45eae6a83179ae9f7 Description: DICOM to Nifti conversion DICOM to Nifti conversion with the added ability to extract and summarize meta data from the source DICOMs. The meta data can be injected into a Nifti header extension or written out as a JSON formatted text file. . This package provides the Python package, command line tools (dcmstack, and nitool), as well as the documentation in HTML format. 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: 0.10.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5799 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy (>= 1:1.7.1~), python-scipy, python-dipy-lib (>= 0.10.1-1~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_0.10.1-1~nd90+1_all.deb Size: 2434010 SHA256: 34ac70f357cf1a99c5c00d3be428738024fc46a461bc8f2bc428d05ae47c1057 SHA1: b1d213b49ad781ffde642fa70b88cb1848b4957e MD5sum: 7f7b7deb57415276ddbf74efed4d558b 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: 0.10.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14485 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_0.10.1-1~nd90+1_all.deb Size: 11464036 SHA256: 6ae301881087cfc7a59e693dafd2dba49d64b96189faa8a7ad8e0985045f46f5 SHA1: bff7e54e3ff6cf34d5c3d943764c8001697d31ee MD5sum: 92cb9e9e93f57ea25ea9a0521579efe3 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: 0.10.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 6789 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (>= 2.7), python (<< 2.8), libc6 (>= 2.14), libgomp1 (>= 4.9) Provides: python2.7-dipy-lib Homepage: http://nipy.org/dipy Priority: optional Section: python Filename: pool/main/d/dipy/python-dipy-lib_0.10.1-1~nd90+1_amd64.deb Size: 1160972 SHA256: 8cc316a7b64a09c6a8112fee2b6c15c49447d1249b02fc2a521a65dbef496edc SHA1: 3eb7973b9b8a193d1d6e1ceb72a01713721eee3a MD5sum: d05c292b03afeb8ce5ca30e24cbca93b 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-dipy-lib-dbgsym Source: dipy Version: 0.10.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 7043 Depends: python-dipy-lib (= 0.10.1-1~nd90+1) Homepage: http://nipy.org/dipy Priority: extra Section: debug Filename: pool/main/d/dipy/python-dipy-lib-dbgsym_0.10.1-1~nd90+1_amd64.deb Size: 6208222 SHA256: c45c8cc59219d883e19be4b5c58bd582f579c1a5468e543a53745f8c6b965f9a SHA1: 0ae98a5eb8d56ee20d310300c7f6cf17d4aeaedd MD5sum: 5022be2e39d823834ae4ba174914c44f Description: Debug symbols for python-dipy-lib Auto-Built-Package: debug-symbols Build-Ids: 10cc53a83faf0c01f12b14895d0bab3da232542a 1156fab47efce69ca62ec2ed4572447bd1614824 13d8483bbc84c35e7c38b93d67fa01d2b5efebb9 2af228ea62aeeab25d1f72decf4f86f428f3310f 438cdd5fc725ac468c141d530c6e95e5f9a4b06a 571785aa4cff2c75c2fe3bb76530b50906f12e73 597471d29c791b561374d5f362b38f31947490a6 5a68842577552829695c6243938f7f1670f872ce 69646e78f5efdf943b5e5708f0091693c43ef521 74cc2129d23d7958e9794397992b1fef5ea52d03 82aa964c69501ae572bdda759d6ce6a8478095d1 8c5aba91815d57db5bd15fc5bd7aff4982581c5e 997253a173768775aad6f83bef424de437798d3d 9d706d6f4eae5f020f023cd86beeac712eca0f86 a3bde57f547824734bb4e3886f7b5a97c5a9b827 a6bcbfdb3a2e29ff9159507fb66c0c9f852b2be2 b0e517d6fdd4cfdc09be4ef28cf2a571cf459810 b9d9217aab7e047dc25aab002bab3cd96e839b09 baf8846d26ebf85d344fbc3f00bdcf92b3c6655e c3aa4c21fcda843c77c475eacdf9d57c6186a3f3 c6c173e8abf97252babfbbf74c37252e6819e2fb d1453205d9150b330e686ce28fe212ec75a7a8c8 d31e0e3be5502d73aca54e6715ece795be39546d ef6beda5a2e1e4e394bbdf7028a1048793e8c33e f008b915a935046adfabf6856a52163ca54be168 Python-Version: 2.7 Package: python-duecredit Source: duecredit Version: 0.5.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 237 Depends: neurodebian-popularity-contest, python-citeproc, python-requests, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python-duecredit_0.5.0-1~nd90+1_all.deb Size: 52650 SHA256: 1ed67bf922084af25d254a526e5235e5bd829a4af8fbcda0f76f3e32d5f8c46d SHA1: a0e750b9ba750c8f813b87f3a870aa77969da2b1 MD5sum: 3f1ffb9eaa58a43f0a6cd058d879de27 Description: Publications (and donations) tracer - Python 2.X duecredit is being conceived to address the problem of inadequate citation of scientific software and methods, and limited visibility of donation requests for open-source software. . It provides a simple framework (at the moment for Python only) to embed publication or other references in the original code so they are automatically collected and reported to the user at the necessary level of reference detail, i.e. only references for actually used functionality will be presented back if software provides multiple citeable implementations. . To get a sense of what duecredit is about, simply run or your analysis script with `-m duecredit`, e.g. . python -m duecredit examples/example_scipy.py Python-Egg-Name: duecredit 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 144 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_amd64.deb Size: 47612 SHA256: f71defcf8275cd3b6cba509c5d7c83804e59274d2f0e0c2f58e921ca7982c603 SHA1: a2df55a56a827819f8a16136c7af8d528cdbff74 MD5sum: e1e357b2d3fdf3add648166102436997 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-future Version: 0.15.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1712 Pre-Depends: dpkg (>= 1.15.6~) Depends: neurodebian-popularity-contest, python2.7:any, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-future-doc Homepage: https://python-future.org Priority: optional Section: python Filename: pool/main/p/python-future/python-future_0.15.2-1~nd90+1_all.deb Size: 348400 SHA256: 07482bfed3626a9dddd770d8db61ff5c1ef148d1af33a27c79bcada7aaad1d30 SHA1: a9283aa0f1dcab1137b0ec8904daabbe6560d4c3 MD5sum: 3a9f05bf57a91be288cc8bd42e2ef4a3 Description: single-source support for Python 3 and 2 - Python 2.x Future is the missing compatibility layer between Python 2 and Python 3. It allows one to use a single, clean Python 3.x-compatible codebase to support both Python 2 and Python 3 with minimal overhead. . The imports have no effect on Python 3. On Python 2, they shadow the corresponding builtins, which normally have different semantics on Python 3 versus 2, to provide their Python 3 semantics. . This package contains the Python 2.x module. Package: python-future-doc Source: python-future Version: 0.15.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1887 Pre-Depends: dpkg (>= 1.15.6~) Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://python-future.org Priority: optional Section: doc Filename: pool/main/p/python-future/python-future-doc_0.15.2-1~nd90+1_all.deb Size: 319712 SHA256: 31effa5d59fca4cd0960b401bf1e5a88366656a98488afcdc43291fcccd7b108 SHA1: 01d0c23dca8a7b18893260980075932666105867 MD5sum: 4d646f0bc2c071a010f34c798cbed74e Description: Clean single-source support for Python 3 and 2 - doc Future is the missing compatibility layer between Python 2 and Python 3. It allows one to use a single, clean Python 3.x-compatible codebase to support both Python 2 and Python 3 with minimal overhead. . The imports have no effect on Python 3. On Python 2, they shadow the corresponding builtins, which normally have different semantics on Python 3 versus 2, to provide their Python 3 semantics. . This package contains the documentation. Package: python-git Version: 2.0.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1571 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python-gitdb (>= 0.6.4), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-smmap, python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python-git_2.0.2-1~nd90+1_all.deb Size: 289138 SHA256: b35d2f8853e9b444cfc7f7eeecae5e64bd7ce66b56bea46f18df39a19668bf3f SHA1: 59fab7ab9c380d5e44c504a9f2b2717e599d0598 MD5sum: 2c97b857cbf5f39c0f474f8616728276 Description: Python library to interact with Git repositories - Python 2.7 python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the Python 2.7 module. Python-Version: 2.7 Package: python-git-doc Source: python-git Version: 2.0.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 930 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: doc Filename: pool/main/p/python-git/python-git-doc_2.0.2-1~nd90+1_all.deb Size: 118704 SHA256: 1da230323f4e6ef29deaccdad1282fa103a6914764ae10924b9547d80c286c88 SHA1: be16c53f3c95de029b695dacd48166aad73c90e1 MD5sum: 3c3a77ef738155f2e07b1ec248fa6aa0 Description: Python library to interact with Git repositories - docs python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the documentation. Package: python-gitdb Version: 0.6.4-3~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 231 Depends: neurodebian-popularity-contest, python-smmap, python (>= 2.7), python (<< 2.8), libc6 (>= 2.14) Provides: python2.7-gitdb Homepage: https://github.com/gitpython-developers/gitdb Priority: extra Section: python Filename: pool/main/p/python-gitdb/python-gitdb_0.6.4-3~nd90+1_amd64.deb Size: 54164 SHA256: 05b84ca72745365b777b20044d0bb2c6560dbcc06d9e968e7227d4b7f7921556 SHA1: 8195bf3b4efb7735881e4d0c9d2768d681a8c29c MD5sum: 2dacc96afbc02a584dd05deb845837b2 Description: pure-Python git object database (Python 2) 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. . This package for Python 2. Package: python-gitdb-dbgsym Source: python-gitdb Version: 0.6.4-3~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 39 Depends: python-gitdb (= 0.6.4-3~nd90+1) Homepage: https://github.com/gitpython-developers/gitdb Priority: extra Section: debug Filename: pool/main/p/python-gitdb/python-gitdb-dbgsym_0.6.4-3~nd90+1_amd64.deb Size: 24370 SHA256: 4d50d56ccb9359ad4948caabf82b37ba7e531e55efad763a7b79b0287163c7a8 SHA1: 1f80395e306c220982ca641f6ab754ad6100ccaa MD5sum: dc7c84ad459c177558837481b65f79f7 Description: Debug symbols for python-gitdb Auto-Built-Package: debug-symbols Build-Ids: 9d1990e423d2226c8fbe0249b47cd8d9b048365a Package: python-humanize Version: 0.5.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 77 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://github.com/jmoiron/humanize Priority: optional Section: python Filename: pool/main/p/python-humanize/python-humanize_0.5.1-2~nd90+1_all.deb Size: 12952 SHA256: 258fbf845777c01e6ddb4bcba4e5983c82248711fdd9c67970c1b69215bd9b85 SHA1: d9d3b3067bbb56e31873d92a313462d862e016d3 MD5sum: 1ece0e916f32fe2b842370b94869f266 Description: Python Humanize library (Python 2) This library proposes various common humanization utilities, like turning a number into a fuzzy human readable duration ('3 minutes ago') or into a human readable size or throughput. . This is the Python 2 version of the package. 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: 0.9.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 363 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_0.9.4-1~nd90+1_all.deb Size: 81358 SHA256: 6632faebedf23fc619d248b1cfe72b7e23a047792e612d5c79838e8bc0e775c8 SHA1: aad60ea32df6a68b2002161f21cef651a7635047 MD5sum: e3cbb722c3865b235819cf55f074184e 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1263 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python-numpy Homepage: https://pythonhosted.org/lda/ Priority: optional Section: python Filename: pool/main/l/lda/python-lda_1.0.2-9~nd80+1+nd90+1_amd64.deb Size: 234774 SHA256: 100b2489129eeb87dbdee228d7c788fe3fef0a7c8fdf1580586356603219f91e SHA1: 18c43c45cfee75ac7b198a61428c17a021c7c358 MD5sum: 8d8c9e8a7cb58fba4bc11e691fbc9b44 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-mdp Source: mdp Version: 3.5-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1391 Depends: neurodebian-popularity-contest, python-future, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-pytest, python-scipy, python-libsvm, python-joblib, python-sklearn, python-pp Enhances: python-mvpa2 Homepage: http://mdp-toolkit.sourceforge.net/ Priority: optional Section: python Filename: pool/main/m/mdp/python-mdp_3.5-1~nd90+1_all.deb Size: 277566 SHA256: 4e2e0e0e69030e414855c5c81f7fffb899f3739e7fbdb858a75a8501ba1d225f SHA1: f9967df922702377f0089c8df9af016cb9a330cb MD5sum: 8a3c5afcf54c122b08c7d4b41cca5130 Description: Modular toolkit for Data Processing Python data processing framework for building complex data processing software by combining widely used machine learning algorithms into pipelines and networks. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Independent Slow Feature Analysis (ISFA), Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA), and Gaussian Classifiers. . This package contains MDP for Python 2. Package: python-mne Version: 0.12+dfsg-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9400 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, python-pycuda, ipython Provides: python2.7-mne Homepage: http://martinos.org/mne Priority: optional Section: python Filename: pool/main/p/python-mne/python-mne_0.12+dfsg-1~nd90+1_all.deb Size: 4428842 SHA256: a0b1b9de8a24b69c914c0079b5338dc51e8601c10886de7aca8e726478b44316 SHA1: e020b812b640c8a2710c95f072accb43788a2ba4 MD5sum: 6875e29bde29435f7646c914454ced80 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: 2.0.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1466 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libopenmpi1.10, 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_2.0.0-1~nd90+1_amd64.deb Size: 341022 SHA256: 6de1a2082893dc286519dd2151376da9fc3a423555358045b432d91771e40b67 SHA1: 4eac798e9a82c6fcf36cd9e943227b1ed26d0dcb MD5sum: 288ed38297b5cdc090ccaf18c1f3a009 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: 2.0.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5694 Depends: neurodebian-popularity-contest, python-mpi4py (= 2.0.0-1~nd90+1) Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: debug Filename: pool/main/m/mpi4py/python-mpi4py-dbg_2.0.0-1~nd90+1_amd64.deb Size: 1040594 SHA256: 22443d324b786fddb6cad7731b4bcf6575ac39de332729df6c69ec1088983254 SHA1: d13de6d607d33672d596119f277b5cbfef067003 MD5sum: 5bd61dc8bedc421e7f3091bcf1ec6032 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: 2.0.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 318 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_2.0.0-1~nd90+1_all.deb Size: 55420 SHA256: 90022b1d2b6f29244d82401a44b75ed326d56104d17f91c091a9479974497879 SHA1: 828119647eba12d56b281921fc2dbe95624b6f95 MD5sum: 8b30e6af5ec64d0be639dd8bbda8ed39 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 198 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python:any (>= 2.7.5-5~), libc6 (>= 2.14), 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_amd64.deb Size: 55566 SHA256: db80fd3ebda900f66434e3deddf548fdad55a68e89281cbaeb62a50a813a7c53 SHA1: 6c790cbb64244bbec810e09fcfe6bdf067048fae MD5sum: 9c04a978dee35604ac0d370ed891032e 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-mvpa2 Source: pymvpa2 Version: 2.5.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8449 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy, python-mvpa2-lib (>= 2.5.0-1~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, python-duecredit 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_2.5.0-1~nd90+1_all.deb Size: 5076926 SHA256: 39e10b4a5e11788b3ab1906071089c93cb7eb81566bddbf89938980a95ffffd2 SHA1: 2eedde29dc24aab8f8f1606e119b46535f873c11 MD5sum: e0b6a896c73a7adaf4c05eef26dac073 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: 2.5.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 34557 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_2.5.0-1~nd90+1_all.deb Size: 4554308 SHA256: 832d23ac5d1d59188626a1ea8dedb0bab04595f18ef02ca3b5cb0dba75908ce9 SHA1: cf170e809a903d4c1048bb37aecac8f2bad9d142 MD5sum: ea45b052f0c93570e3cb00dc09ffff97 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: 2.5.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 140 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1), libsvm3, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.10.0~b1), 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_2.5.0-1~nd90+1_amd64.deb Size: 49722 SHA256: fc1e64be50996ce2dd6a84483d40b9fa265766aa944137d4e37b76e21b55de36 SHA1: f9b305300d9c5cf13c325969b502b7107b4f674c MD5sum: 94f9e24f40b90e08e3c81d28bc6e76b5 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-mvpa2-lib-dbgsym Source: pymvpa2 Version: 2.5.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 109 Depends: python-mvpa2-lib (= 2.5.0-1~nd90+1) Homepage: http://www.pymvpa.org Priority: extra Section: debug Filename: pool/main/p/pymvpa2/python-mvpa2-lib-dbgsym_2.5.0-1~nd90+1_amd64.deb Size: 79224 SHA256: a3bbf4d98f35fea426200b228efde4f5e19844839f5a8c00ff02898554ddc40d SHA1: 5e02456fe479830005be818b9f4e495a28798b7a MD5sum: 8c30346cf9d100f75aff68b7a2561835 Description: Debug symbols for python-mvpa2-lib Auto-Built-Package: debug-symbols Build-Ids: 2113bde4cb32d72bd17384ad0ba48e648aa86a7a aacbca96ec047dd190d48229cd210918ee718019 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: amd64 Maintainer: NeuroDebian Team Installed-Size: 81 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_amd64.deb Size: 20390 SHA256: bad477da56ef5ec21ee268265e6be7ffaa45510f6168a058aa27850b1daae01f SHA1: 0087a3e6096acd35caedd071818259276d40efa8 MD5sum: fa6c0efecb7f3ef826d10968f06488c9 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: 2.0.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 63351 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_2.0.2-1~nd90+1_all.deb Size: 1971946 SHA256: 657d68582289a09cfc31966a0efc03496ba5f77618a2770331870bf35ba2f7d3 SHA1: d19d4cc238af1e65e202e4a87e5304f229c670cb MD5sum: 805bbd4ea53b5ff3c82f955163670465 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: 2.0.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5512 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_2.0.2-1~nd90+1_all.deb Size: 2506278 SHA256: e8a1d6f1d60ee5576c951389c96cf006e6d647a0077a8978efa7f6a9bd21f8e9 SHA1: 92045a7ff644db1185db4610cf479c44ef19d8d5 MD5sum: a93c8e2e0878eb00078b72a5941ec678 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1146 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_amd64.deb Size: 255844 SHA256: 607400a63d5da5dee02f7ae9e44ed99bb10584f98c7a3d4791b49732058b2fd5 SHA1: 08dd50eb26bdfe852bbdaf379f6ff4eee680583a MD5sum: 9cdf9e272ee6597ff1355e105666bef0 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: 0.2.3~dfsg.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2322 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_0.2.3~dfsg.1-1~nd90+1_all.deb Size: 713926 SHA256: 6f696093add42e6971fdda1985718d486faa649a4c36a515e7faa9973ce418f2 SHA1: 169b77a9c08b8b21646d4ff227f7f656171c7afe MD5sum: c9c40dd6d13b3e647455f6fd3a3a3ea5 Description: fast and easy statistical learning on neuroimaging data (Python 2) This Python module leverages the scikit-learn toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis. . This package provides the Python 2 version. 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2635 Depends: neurodebian-popularity-contest, libblas3 | libblas.so.3, libc6 (>= 2.14), 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_amd64.deb Size: 618376 SHA256: 6369ab028417f4c9d22517e3dcbf1841cc499050cdcdef2741204724e6d07820 SHA1: 7d49bded33ed2c25e1922a2e064119df8ebfbc40 MD5sum: f1a78a8fef7b2fe976ef1539cdfb8be2 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3761 Depends: neurodebian-popularity-contest, libblas3 | libblas.so.3, libc6 (>= 2.14), 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_amd64.deb Size: 624340 SHA256: 0e22c095f164a525ea2333c017124aba0abd09174e666bd15e4c0ffa90e5a5cb SHA1: 604440cdda52ecaf80b22454d9434f35cdbf78ea MD5sum: c8552d0df81068eb4f509699e0e4de1a 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: 0.11.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8454 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, python-xvfbwrapper, mayavi2 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_0.11.0-1~nd90+1_all.deb Size: 1413634 SHA256: 210a0face4cd262eeab2e93c8657734ecbe41621c40dfd4f14ebb2bcc01ddabf SHA1: 37c8c88b9ed0024e97160ecef48fc292fecb3059 MD5sum: 33f40de5ed0bfd81653325d494139ab7 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: 0.11.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23170 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_0.11.0-1~nd90+1_all.deb Size: 8949952 SHA256: 4800ae867394c013414572e47c4c79556283e002dcb22b0314b6d200d1501d56 SHA1: fd48a5d73fbad59fa8e8265ec914a1745bb749cd MD5sum: eb2b9a3c61cefc67a93036a3d4026c89 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: 0.6-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9377 Depends: neurodebian-popularity-contest, python-matplotlib, python-numpy, python-scipy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-nose, python-nibabel, python-networkx Homepage: http://nipy.org/nitime Priority: extra Section: python Filename: pool/main/n/nitime/python-nitime_0.6-1~nd90+1_all.deb Size: 2560576 SHA256: 9f848877e503e81245d8fd23e41f7fce1fdd596bae792e0d9572dac313aca6b1 SHA1: a71fbdafb6079dbb8dfd75c2b0efce0eebdd750a MD5sum: 179ea715f968a8107d2a5f56f132da50 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: 0.6-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7857 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-nitime Homepage: http://nipy.org/nitime Priority: extra Section: doc Filename: pool/main/n/nitime/python-nitime-doc_0.6-1~nd90+1_all.deb Size: 5756788 SHA256: 3297fca8ae9de3a78ba95cbbe3334f9aff547410e13ca3115285ea5473ab8dd6 SHA1: f9907c999d7e4aa455a4726e68866e7f4cee0a5d MD5sum: db9c06ed6214a526b1bf91f0d0ff5980 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 280 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd80+1+nd90+1), libc6 (>= 2.14), 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_amd64.deb Size: 69622 SHA256: 1a15145522f4ed4a1454e64ef88087d4bfb3e7882de6bcbbab9c1c3aa94edeae SHA1: 24913b57150c4993662acc989c5aec3259de0b1e MD5sum: b4750cc9fdd15fb892b8faa6698810e6 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-nosexcover Source: nosexcover Version: 1.0.10-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 29 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-nose, python-coverage (>= 3.4) Homepage: http://pypi.python.org/pypi/nosexcover Priority: extra Section: python Filename: pool/main/n/nosexcover/python-nosexcover_1.0.10-2~nd90+1_all.deb Size: 5124 SHA256: 0690e2f53e965d973b5427bf4a5dfb5199bb9868e33fb2ceefff034936546db0 SHA1: fd93ee50ff6d54caef0722f9db35460dc06d145a MD5sum: 56644cbe0eef91d6c280ff1ffe1479b4 Description: Add Cobertura-style XML coverage report to nose A companion to the built-in nose.plugins.cover, this plugin will write out an XML coverage report to a file named coverage.xml. . It will honor all the options you pass to the Nose coverage plugin, especially --cover-package. Package: python-numexpr Source: numexpr Version: 2.4.3-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 401 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (>= 2.7.5-5~), libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://code.google.com/p/numexpr/ Priority: optional Section: python Filename: pool/main/n/numexpr/python-numexpr_2.4.3-1~nd90+1_amd64.deb Size: 136006 SHA256: f6639a621a5498940388ce7c8a12efe2125f017eee86d43c5648e89028bb7d3e SHA1: 05a151b4c0e515658c037bbcd514bc9a25fe2b84 MD5sum: 1ea7662c1dee1f91078a7c64d9950720 Description: Fast numerical array expression evaluator for Python and NumPy 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. . This is the Python 2 version of the package. Package: python-numexpr-dbg Source: numexpr Version: 2.4.3-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 270 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, python-dbg (<< 2.8), python-dbg (>= 2.7~), libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), python-numexpr (= 2.4.3-1~nd90+1), python-numpy-dbg Homepage: http://code.google.com/p/numexpr/ Priority: extra Section: debug Filename: pool/main/n/numexpr/python-numexpr-dbg_2.4.3-1~nd90+1_amd64.deb Size: 105702 SHA256: 3b79b4dd11f373f4f477d8664a1a01bf711a6450ae2f4c9c876c0345539b1b14 SHA1: ae8aa5ea715fff52bb8ef0e1e096766c352f4b0d MD5sum: dc34fcd4faed65b4031ec3b5d6539950 Description: Fast numerical array expression evaluator for Python and NumPy (debug ext) 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. . This package contains the extension built for the Python 2 debug interpreter. 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: 2.3.0-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1323 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-jdcal, python-lxml (>= 3.3.4) | python-et-xmlfile Recommends: python-pytest, python-pil, python-imaging Homepage: http://bitbucket.org/openpyxl/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python-openpyxl_2.3.0-2~nd90+1_all.deb Size: 199214 SHA256: 4640b1dd8229171bd0ece2ce2e6e90a42867a5a7358f44e1c066a6ece8c0f956 SHA1: ed42cb278608f5dc0fd198c4c723818d894335e5 MD5sum: 9e0e163f143ebd4f50cfec2ea8cb61a1 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-packaging Version: 16.2-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 85 Depends: neurodebian-popularity-contest, python-pyparsing, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://pypi.python.org/pypi/packaging Priority: optional Section: python Filename: pool/main/p/python-packaging/python-packaging_16.2-2~nd90+1_all.deb Size: 17204 SHA256: d00371df4d5a73963138386d93de0bafa8cb2722c0851f7694c249f7fbaa76df SHA1: efb06ae7d0a596e847ce8e9930a285b61a68efcc MD5sum: 95b08012df65ef3a2f60e3502382bd7b Description: core utilities for python packages These core utilities currently consist of: - Version Handling (PEP 440) - Dependency Specification (PEP 440) Package: python-pandas Source: pandas Version: 0.18.0+git114-g6c692ae-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13062 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-dateutil, python-tz, python-numpy (>= 1:1.7~), python-pandas-lib (>= 0.18.0+git114-g6c692ae-1~nd90+1), python-pkg-resources, 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_0.18.0+git114-g6c692ae-1~nd90+1_all.deb Size: 1761342 SHA256: c16aabc0931f15c13106dc16a692731131e7fc55e1a99a91d296f2a3173ed828 SHA1: 120ebbca2bdd4690a9d13fcfbc146322d5c40b67 MD5sum: 3a277a4e3ff036d7a7d0b920a00d4538 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: 0.18.0+git114-g6c692ae-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 56955 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_0.18.0+git114-g6c692ae-1~nd90+1_all.deb Size: 10945864 SHA256: 3a239015f01b21345a63ab0c51801b952902b0181c8795f56ecd9c2efb410b2a SHA1: 9e96f011c5232bd18bbfa444b64c9d2944498e4d MD5sum: 6dec79c35202c197a99453d76582e91f Description: documentation and examples for pandas This package contains documentation and example scripts for python-pandas. Package: python-pandas-lib Source: pandas Version: 0.18.0+git114-g6c692ae-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 6206 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1), python-numpy (>= 1:1.10.0~b1), 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_0.18.0+git114-g6c692ae-1~nd90+1_amd64.deb Size: 1566856 SHA256: 47e632539ce381cacf6f19e7d870be44057b60b59ff8f3f7eedf143edcb800df SHA1: d4a09b767c934fc3932ec5874a8f88263ccabb2a MD5sum: f4c65c9a4e357216c19a8f0b267a326c 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-pandas-lib-dbgsym Source: pandas Version: 0.18.0+git114-g6c692ae-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 6816 Depends: python-pandas-lib (= 0.18.0+git114-g6c692ae-1~nd90+1) Homepage: http://pandas.sourceforge.net Priority: extra Section: debug Filename: pool/main/p/pandas/python-pandas-lib-dbgsym_0.18.0+git114-g6c692ae-1~nd90+1_amd64.deb Size: 6165494 SHA256: 9e8012412550012cd3f22c532fc06cf4d47dea75e8eba0fca72eb6c7ae25956c SHA1: f4e3143ad1e9c59ee5671d8160c90273468f1c05 MD5sum: cdd5105e7235aaee95b61593061b7f9e Description: Debug symbols for python-pandas-lib Auto-Built-Package: debug-symbols Build-Ids: 0d116d4d9a43ea2f25c202dc1d32538370028aa1 211b36fa4530e0fb9bd83009438109540308efb7 2894543f820fe01c9e616c6b59b3e8e1d869d104 414cfef5ca32763a0305a9b1eeff5cad1732538d 5686d174b6e4baacd737eb57b5f4baafddf969a0 7ed10ba6126864b07e3390610957199c2bb5e653 91c8ce829acb0a979be8044116ccd200066f805e b3678d8794d365e885d264a3ce90412452556db5 c9f306aca8622c43b3b989220a6b1163d13af925 d2c85566c77bab3184ed231f44d8bfaf9c2885ea dbd6859f43aa058f61924e029b214396eb74be89 e68669dd0d6e8efda822251d36636a215717467f e77267f4100d5c50d3de2e96e68e38ecbd91ec47 Python-Version: 2.7 Package: python-patsy Source: patsy Version: 0.4.1-1~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_0.4.1-1~nd90+1_all.deb Size: 174438 SHA256: 0d38eaf3c31968d7cc0e67ca37b8758a5a1d3b2d11624b24b43cdc5e4af67b84 SHA1: 67f9621b19d45da36963bdfbd9131948c371209d MD5sum: 6601d79dcd3c4d704cebdfc7ee5f960c 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: 0.4.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1407 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_0.4.1-1~nd90+1_all.deb Size: 364182 SHA256: b6be653138e89cc385bccf696833b1687134ee05a8b193f88497344724e4899c SHA1: 24be6c80a22e57d9630183535659fd9a24cf6500 MD5sum: 72f04d6461107777dcc1975ade4f07f4 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 578 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_amd64.deb Size: 116422 SHA256: da25ec89414de2d7281bc68f122720912008cbf869b48fa64e91aeb4df02a4b2 SHA1: 5551e3ff4dbf156e1fb615c96cebf10eb3a1deb9 MD5sum: 52eda59b0d39c7b7a3954f47e6f4bdc9 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1431 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 (>= 2.14), libgcc1 (>= 1:4.1.1), libode1, libsamplerate0 (>= 0.1.7), libsndfile1 (>= 1.0.20), libstdc++6 (>= 4.4.0) Conflicts: python2.3-pyepl, python2.4-pyepl Replaces: python2.3-pyepl, python2.4-pyepl Provides: python2.7-pyepl Homepage: http://pyepl.sourceforge.net/ Priority: optional Section: python Filename: pool/main/p/pyepl/python-pyepl_1.1.0+git12-g365f8e3-2~nd80+1+nd90+1_amd64.deb Size: 282850 SHA256: 4ed4c4e324c037fd6e610ae943fa63df738527b90e20fb12d47b74fd680632b3 SHA1: fc3bb2da13573adf7970ae32425db4e978706c85 MD5sum: f0195254ee081fdaf506f6b61f472e6a 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2833 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, libblas3 | libblas.so.3, libc6 (>= 2.14), 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_amd64.deb Size: 590728 SHA256: 2e8fbca2ba9b0fabfc0889e8a3c6b649271e526551ba0069b187912e323aaa43 SHA1: 59c81cc6f281302d5e9378d82deb89dbf5db1d0c MD5sum: 71ad23b81a78ab3bc356eda15002749c 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1662 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.9), python (<< 2.8), python (>= 2.7), python-support (>= 0.90.0), python-numpy, python-matplotlib, python-scipy Homepage: http://psignifit.sourceforge.net Priority: extra Section: python Filename: pool/main/p/psignifit3/python-pypsignifit_3.0~beta.20120611.1-1~nd70+1+nd90+1_amd64.deb Size: 346934 SHA256: 9e4922c6adaabb4a8c3e46622ab2fe653fa9369169f19fa63673fd2f547d95a8 SHA1: ca894c0fbc553987398281c438eb653ea63c4b8e MD5sum: 65cc0e5c5e2029cda0c5946af3fa6cd4 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: 0.17.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65 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_0.17.1-1~nd90+1_all.deb Size: 55986 SHA256: fa3def160a745a8fb0a1d8dcf41de234916bed7e6d2f5581483dcb7b08cf2748 SHA1: 213799f54e1c65aaf9b418359f454600dcf47a48 MD5sum: cbd31d58e7308b358a4790e251c81ae5 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: 1.0.3-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 986 Depends: neurodebian-popularity-contest, python-boto, python-cssselect, python-libxml2, python-lxml, python-queuelib, python-twisted-conch, python-twisted-core, python-twisted-mail, python-twisted-web, python-w3lib (>= 1.8), python, python-openssl, python-service-identity, python-six, python-twisted, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: ipython, python-django, python-guppy, python-imaging, python-mysqldb, python-pygments, python-simplejson | python (>= 2.6) Provides: python2.7-scrapy Homepage: http://scrapy.org/ Priority: optional Section: python Filename: pool/main/p/python-scrapy/python-scrapy_1.0.3-1~nd90+1_all.deb Size: 175836 SHA256: 4260fa520a995cdba1e0ef7a93e2012685b6ba641c452aca4a16c62c13cf23a9 SHA1: c669cf541b6215f69a418a8c24b8fcc1a2b1535b MD5sum: 1e24fc66d2270804340c78ef55b335c4 Description: Python web scraping and crawling framework Scrapy is a fast high-level screen scraping and web crawling framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing. . This package provides the python-scrapy script and modules. Package: python-scrapy-doc Source: python-scrapy Version: 1.0.3-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7133 Depends: neurodebian-popularity-contest Recommends: libjs-jquery, libjs-underscore Homepage: http://scrapy.org/ Priority: optional Section: doc Filename: pool/main/p/python-scrapy/python-scrapy-doc_1.0.3-1~nd90+1_all.deb Size: 1540304 SHA256: 3680a439513ce144108222c9ef83853e240c9e58b9e635527309a1ff6079ebda SHA1: ace8165525e67c38faac44f433dc390ed3d6b231 MD5sum: 2c46c761285144e992af8ec8b0aeba62 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-setuptools-scm Source: setuptools-scm Version: 1.8.0-1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 49 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/pypa/setuptools_scm Priority: optional Section: python Filename: pool/main/s/setuptools-scm/python-setuptools-scm_1.8.0-1~bpo8+1~nd90+1_all.deb Size: 11450 SHA256: f58c242f4adf132cd1dfa7bdcb70cb88bec6b5af319d005d4398abfc1104952b SHA1: 704b1c46a6f49ee40904d9f0137bb013f88e6983 MD5sum: 91e7cb0fbfb78d34485684539fca493a Description: blessed package to manage your versions by scm tags for Python 2 setuptools_scm handles managing your Python package versions in scm metadata. It also handles file finders for the suppertes scm's. . This package installs the library for Python 2. 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. 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Package: python-sklearn Source: scikit-learn Version: 0.17.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5283 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-numpy, python-scipy, python-sklearn-lib (>= 0.17.1-1~nd90+1), python-joblib (>= 0.9.2) 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_0.17.1-1~nd90+1_all.deb Size: 1223510 SHA256: 414b079b046f07a735858828cb6b3fe6abd2d43ade30be738b8fc58c1f0c5fdc SHA1: 2364130e86df43bf3a90cf1d28e4b3743eb96860 MD5sum: 3e1c3da616c9f0d25b3f77b92eb4bbb2 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: 0.17.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24871 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore 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_0.17.1-1~nd90+1_all.deb Size: 4018540 SHA256: 606f074a6a5bd109df5f22191260f21a2cf5d67f658299becb468cc74028ed97 SHA1: 68cd610cad8a59f1a71449f219219e584eb9e50f MD5sum: 89e939d2ced0aeb96bc563982a54fa19 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: 0.17.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5014 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python-numpy (>= 1:1.10.0~b1), 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_0.17.1-1~nd90+1_amd64.deb Size: 1113756 SHA256: 35e7c7e92fb57bd06c5703ed90be13c201daabe2d258d8497dbe21fae2854e4f SHA1: 84922d64d0e5ff2ab49910aecab17880c1638fbb MD5sum: f3a64f0fe4c001b26b750a837609a6aa 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. 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If the system runs out of resources, or if a memory limit is reached, it will automatically unload unused maps to allow continued operation. . This package for Python 2. 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: 0.4.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2094 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_0.4.2-1~nd90+1_all.deb Size: 308630 SHA256: c56f8e2d1a3184c8bda97a917bbad50ab1fb0735e6847c750162788c553ce69a SHA1: 61fc54b1b17852300f5e9191ba72f8b9fe314361 MD5sum: 451f10b232b5ac99eb1add45a414c099 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 517 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, python (>= 2.7), python (<< 2.8), libc6 (>= 2.14) 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_amd64.deb Size: 97128 SHA256: e41be19063ad4a7db12eea78a98c3c3aeeced939767d1620432705bf033de73e SHA1: 9d42ee4f83093accf5d7cccc41c1e54cba9c1387 MD5sum: e9456c38855ae1417d319c73079e15b1 Description: low-level implementations and bindings for statsmodels This package contains architecture dependent extensions for python-statsmodels. Package: python-stfio Source: stimfit Version: 0.15.2-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1407 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, libblas3 | libblas.so.3, libc6 (>= 2.14), libcholmod3.0.6, libfftw3-double3, libgcc1 (>= 1:3.0), libhdf5-10, liblapack3 | liblapack.so.3, libpython2.7 (>= 2.7), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4), libsuitesparse-dev, zlib1g-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_0.15.2-1~nd90+1_amd64.deb Size: 484722 SHA256: 0ab72a4643264dfb3e652e57b4f5bd1f37732787cf420bc7157a0c4d57964066 SHA1: 101406e5e817c5e8500411da40be0363ab5ca54e MD5sum: 572d7b4bb3c5ff6554f7c2000864e73f 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: 0.6-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 193 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-nibabel, python-numpy, python-scipy, 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_0.6-1~nd90+1_all.deb Size: 43192 SHA256: 48e6c25bed2827cbd7cdba09df7772aa3e28c554328fb665ebd90e166cd04966 SHA1: 7b0394249aca4ae1167b160cab20d70b40ee0e13 MD5sum: b8e11c84250d4a7071cbb1c714d0dee7 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-tables Source: pytables Version: 3.2.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2815 Depends: neurodebian-popularity-contest, python-numpy, python, python-numexpr, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-tables-lib (>= 3.2.1-1~nd90+1), python-tables-lib (<< 3.2.1-1~nd90+1.1~), python-tables-data (= 3.2.1-1~nd90+1) Suggests: python-tables-doc, python-netcdf, vitables Homepage: http://www.pytables.org Priority: optional Section: python Filename: pool/main/p/pytables/python-tables_3.2.1-1~nd90+1_all.deb Size: 344806 SHA256: e66e257a076d39aa14d4204d5cf7b49114e518c8bec02735b5a3e8bac0c02da9 SHA1: a148f32ac501ace9855b063ab8390d8e9022261d MD5sum: 8df7e8284168c245806d6cae620f649f Description: hierarchical database for Python based on HDF5 PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This is the Python 2 version of the package. Package: python-tables-data Source: pytables Version: 3.2.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 957 Depends: neurodebian-popularity-contest Homepage: http://www.pytables.org Priority: optional Section: python Filename: pool/main/p/pytables/python-tables-data_3.2.1-1~nd90+1_all.deb Size: 51306 SHA256: 938dad82d3f85942804284edfcde696fad4eb67d713e1fb962bf5f4639156fda SHA1: a0de2ee3c0e22768d4558eb90271e3cebdcb8ff8 MD5sum: 266358c542dd429090e1ca9595fd3887 Description: hierarchical database for Python based on HDF5 - test data PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . This package includes daya fils used for unit testing. Package: python-tables-dbg Source: pytables Version: 3.2.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1609 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, python-dbg (<< 2.8), python-dbg (>= 2.7~), libbz2-1.0, libc6 (>= 2.14), libhdf5-8, liblz4-1 (>= 0.0~r113), liblzo2-2, libsnappy1, zlib1g (>= 1:1.1.4), python-tables (= 3.2.1-1~nd90+1), python-tables-lib (= 3.2.1-1~nd90+1), python-numpy-dbg, python-numexpr-dbg Suggests: python-tables-doc, python-netcdf Homepage: http://www.pytables.org Priority: extra Section: debug Filename: pool/main/p/pytables/python-tables-dbg_3.2.1-1~nd90+1_amd64.deb Size: 478136 SHA256: 58a2e7f93f7c0165b3a0bd5031a9eff2f3fc4539a2412a912a1793f2b554119a SHA1: 5fe36850f239ce8b5661d6f6e247d425a293bdf3 MD5sum: 5976b2930fdcbcd8f23b121c6246b9bf Description: hierarchical database for Python based on HDF5 (debug extension) PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This package contains the extension built for the Python 2 debug interpreter. Package: python-tables-doc Source: pytables Version: 3.2.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8931 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), libjs-jquery-cookie Suggests: xpdf | pdf-viewer, www-browser Homepage: http://www.pytables.org Priority: optional Section: doc Filename: pool/main/p/pytables/python-tables-doc_3.2.1-1~nd90+1_all.deb Size: 4249128 SHA256: a40038c806f2e49ca56bf8f36e962ce1505bb1de33b75dc1115c6a3b3c41c50e SHA1: d2f16e4f4dcbc57265ef62e3c5be8a9a0f632735 MD5sum: 2ef20d66ba9810f5bf35e4bd789ef2d2 Description: hierarchical database for Python based on HDF5 - documentation PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . This package includes the manual in PDF and HTML formats. Package: python-tables-lib Source: pytables Version: 3.2.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1372 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), libbz2-1.0, libc6 (>= 2.14), libhdf5-8, liblz4-1 (>= 0.0~r113), liblzo2-2, libsnappy1, zlib1g (>= 1:1.1.4) Recommends: python-tables (= 3.2.1-1~nd90+1) Breaks: python-tables (<< 3.0.0-3) Replaces: python-tables (<< 3.0.0-3) Homepage: http://www.pytables.org Priority: optional Section: python Filename: pool/main/p/pytables/python-tables-lib_3.2.1-1~nd90+1_amd64.deb Size: 381708 SHA256: bedc68c5169f6ea4fa5e3409f186f52725df67e0cc99f5467147ad91b8755b21 SHA1: 57ba904a4beb017733ff6491ff1637402edf3f21 MD5sum: a96ee974dcf3e6f06fa20ede0e413560 Description: hierarchical database for Python based on HDF5 (extension) PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This package contains the extension built for the Python 2 interpreter. Package: python-tornado Version: 2.1.0-1~nd70+1+nd90+1 Architecture: amd64 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_amd64.deb Size: 162960 SHA256: 388bd5cdd7abd37c99a0532a0b870678aed55c7a253afb5cb6a2e0d41801034f SHA1: f13dc2eb1f9571020af981ce730aec9da9f8ae13 MD5sum: 152bba76920e504042feda8080bfcb8e 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: amd64 Bugs: mailto:bugs@neuro.debian.net Maintainer: Debian Python Modules Team Installed-Size: 1784 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_amd64.deb Size: 274152 SHA256: 89d34f78c17277aeb0f658d841584152e2d9d8132b2a86892e6004fd4cd56c72 SHA1: 3758cbae40a89b1505c36dbf24e21d41fec6a8a4 MD5sum: e747d6abbeef188db8591a1a0a553139 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-vcr Source: vcr.py Version: 1.7.3-1.0.1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 157 Depends: neurodebian-popularity-contest, python-contextlib2, python-mock, python-six (>= 1.5), python-wrapt, python-yaml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/kevin1024/vcrpy/ Priority: optional Section: python Filename: pool/main/v/vcr.py/python-vcr_1.7.3-1.0.1~nd90+1_all.deb Size: 43540 SHA256: 5ffd32e41d6b09622a23f4d3abfe55c387b39645decd096cc75fd6db807b7d46 SHA1: b30f74457f548b02effee54982003cdd445bdca5 MD5sum: b3fbd72ceee13814f0d16b9072be2a6f Description: record and replay HTML interactions (Python library) vcr.py records all interactions that take place through the HTML libraries it supports and writes them to flat files, called cassettes (YAML format by default). These cassettes could be replayed then for fast, deterministic and accurate HTML testing. . vcr.py supports the following Python HTTP libraries: - urllib2 (stdlib) - urllib3 - http.client (Python3 stdlib) - Requests - httplib2 - Boto (interface to Amazon Web Services) - Tornado's HTTP client . This package contains the modules for Python 2. Package: python-visionegg Source: visionegg Version: 1.2.1-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1815 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_amd64.deb Size: 601038 SHA256: 86b044389fcf1a2874190bc4a5a6edba44c7f94caeaf569a4236dcc4845ba2f5 SHA1: 67b2652c53877dcf70979ec11d05ad3cb1c53bb2 MD5sum: c4ac71d4f03c20fa81305dfe2a525c9b 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 518 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_amd64.deb Size: 96190 SHA256: dc680bae142ac2f079316e6b14daf02bdb5485e868326a932397a68adb934fbd SHA1: 839daaa06b497bff9975e2ed34ccba99b99af84f MD5sum: 5bad936bc1376657ae2a1a21c6cc8a3d 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 243 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_amd64.deb Size: 58518 SHA256: 53e10bfb19f7f956c3326543af1756da4fc9077f095e2743bb78fc93a5ed830f SHA1: 9be03d050f7cb941cafba7a3ffa72caf15c41e32 MD5sum: ef12ee66c89f2990b535469a0857294b 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-argcomplete Source: python-argcomplete Version: 1.0.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 98 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Priority: optional Section: python Filename: pool/main/p/python-argcomplete/python3-argcomplete_1.0.0-1~nd90+1_all.deb Size: 22308 SHA256: 896b8c5b419eed7ceb8bea3107bc7127880960b1fa7d095b440e162d3599b2f2 SHA1: 52fa718876f85f5e4343f1609d4adb564528bfc3 MD5sum: 0b2f1bfe1efee40720a8985e945144af Description: bash tab completion for argparse (for Python 3) Argcomplete provides easy, extensible command line tab completion of arguments for your Python script. . It makes two assumptions: . * You're using bash as your shell * You're using argparse to manage your command line arguments/options . Argcomplete is particularly useful if your program has lots of options or subparsers, and if your program can dynamically suggest completions for your argument/option values (for example, if the user is browsing resources over the network). . This package provides the module for Python 3.x. 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-contextlib2 Source: contextlib2 Version: 0.4.0-3~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: http://contextlib2.readthedocs.org/ Priority: optional Section: python Filename: pool/main/c/contextlib2/python3-contextlib2_0.4.0-3~nd90+1_all.deb Size: 8734 SHA256: 8208ef7d303412211e9f184a05a3ea1ab1b9b86e7a253cc9726d1baa98722aba SHA1: c1a2992ecf62af90c8a66f0725dee7c137bc924a MD5sum: 91c06b98f55387e4a1dbaa5948271c49 Description: Backport and enhancements for the contextlib module - Python 3.x contextlib2 is a backport of the standard library's contextlib module to earlier Python versions. . It also serves as a real world proving ground for possible future enhancements to the standard library version. . This package contains the Python 3.x module. Package: python3-duecredit Source: duecredit Version: 0.5.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 239 Depends: neurodebian-popularity-contest, python3-citeproc, python3-requests, python3-six, python3:any (>= 3.3.2-2~) Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python3-duecredit_0.5.0-1~nd90+1_all.deb Size: 52866 SHA256: 9dfab4559b153400732bfd2ff4ca00092fda3ce600d349d2eebcb4d8de5da319 SHA1: 6e3dfed623f97243f0585a8553eb39a053817b9d MD5sum: 52f1d647ccf7789920374136357295da Description: Publications (and donations) tracer duecredit is being conceived to address the problem of inadequate citation of scientific software and methods, and limited visibility of donation requests for open-source software. . It provides a simple framework (at the moment for Python only) to embed publication or other references in the original code so they are automatically collected and reported to the user at the necessary level of reference detail, i.e. only references for actually used functionality will be presented back if software provides multiple citeable implementations. . To get a sense of what duecredit is about, simply run or your analysis script with `-m duecredit`, e.g. . python3 -m duecredit examples/example_scipy.py Python-Egg-Name: duecredit Package: python3-future Source: python-future Version: 0.15.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1662 Pre-Depends: dpkg (>= 1.15.6~) Depends: neurodebian-popularity-contest, python3.5:any, python3:any (>= 3.3.2-2~) Suggests: python-future-doc Homepage: https://python-future.org Priority: optional Section: python Filename: pool/main/p/python-future/python3-future_0.15.2-1~nd90+1_all.deb Size: 346132 SHA256: 0b86fec70d0f5de4794a05779c5d7017892df211db0b07bcbfffdf898cfa36d2 SHA1: ecd64620aadfed37312d2fd64a242d66af3dc4d7 MD5sum: bc2756c27fbf3c290513779740efa42b Description: Clean single-source support for Python 3 and 2 - Python 3.x Future is the missing compatibility layer between Python 2 and Python 3. It allows one to use a single, clean Python 3.x-compatible codebase to support both Python 2 and Python 3 with minimal overhead. . The imports have no effect on Python 3. On Python 2, they shadow the corresponding builtins, which normally have different semantics on Python 3 versus 2, to provide their Python 3 semantics. . This package contains the Python 3.x module. Package: python3-git Source: python-git Version: 2.0.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1568 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python3-gitdb (>= 0.6.4), python3:any (>= 3.3.2-2~) Suggests: python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python3-git_2.0.2-1~nd90+1_all.deb Size: 289172 SHA256: 40182693d299c6f014a92d99a41b4cf7ef44b0fca8a36c508941f3666700450f SHA1: 98357d499c99b07f14ec361c157debc7e0e5e760 MD5sum: dd511e59a4e5f8d9e5e955594bdfb585 Description: Python library to interact with Git repositories - Python 3.x python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the Python 3.x module. Package: python3-gitdb Source: python-gitdb Version: 0.6.4-3~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 254 Depends: neurodebian-popularity-contest, python-smmap, python3 (<< 3.6), python3 (>= 3.4~), python3-smmap, libc6 (>= 2.14) Provides: python3.4-gitdb, python3.5-gitdb Homepage: https://github.com/gitpython-developers/gitdb Priority: extra Section: python Filename: pool/main/p/python-gitdb/python3-gitdb_0.6.4-3~nd90+1_amd64.deb Size: 54558 SHA256: 28e5868d1363fcd0a2379fc6108138aa95e85f4ca0239c40aa6cf1ea70dc0581 SHA1: 3c02223398d7357d1c11aeecb470fd0262f04640 MD5sum: 074ce0525500a8f795689747994bafb4 Description: pure-Python git object database (Python 3) 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. . This package for Python 3. Package: python3-gitdb-dbgsym Source: python-gitdb Version: 0.6.4-3~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 69 Depends: python3-gitdb (= 0.6.4-3~nd90+1) Homepage: https://github.com/gitpython-developers/gitdb Priority: extra Section: debug Filename: pool/main/p/python-gitdb/python3-gitdb-dbgsym_0.6.4-3~nd90+1_amd64.deb Size: 41278 SHA256: 5c2492a21f2c70133e1f7768344acd9832ba5c7e5b7b45c8135b878fb87d59ff SHA1: 49e53b34c2f3576f5f984de235bb8619bd21717a MD5sum: 5e6bf3f0dfaf9095eabb89c065094d6e Description: Debug symbols for python3-gitdb Auto-Built-Package: debug-symbols Build-Ids: 1e6490b00bed5aa3af727500f2512d1c875a2fad b0bec8fd665114e8f77cb6229556cab4e8312095 Package: python3-humanize Source: python-humanize Version: 0.5.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 73 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: http://github.com/jmoiron/humanize Priority: optional Section: python Filename: pool/main/p/python-humanize/python3-humanize_0.5.1-2~nd90+1_all.deb Size: 12668 SHA256: 09e180429c6ce4e29725b5eba27eadb80b41aee505906744cb3402a9ac6e8fca SHA1: 426390f0559742af2e08fc87e1f4aaec1e5c8f59 MD5sum: c4749e78654afa0b8c5def4772b32583 Description: Python Humanize library (Python 3) This library proposes various common humanization utilities, like turning a number into a fuzzy human readable duration ('3 minutes ago') or into a human readable size or throughput. . This is the Python 3 version of the package. 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: 0.9.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 358 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_0.9.4-1~nd90+1_all.deb Size: 78604 SHA256: 97e15f221ef315a24fb24a60f0ba045720571f5dcaa6a444193cc85286087aae SHA1: 8879c7b07ceaefd9c6578bd1255a4f4f2a92a23f MD5sum: d024996eccca59afa722af48d494ec76 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1263 Depends: neurodebian-popularity-contest, python3 (<< 3.5), python3 (>= 3.4~), python3-numpy, python3-pbr, libc6 (>= 2.14) Homepage: https://pythonhosted.org/lda/ Priority: optional Section: python Filename: pool/main/l/lda/python3-lda_1.0.2-9~nd80+1+nd90+1_amd64.deb Size: 234188 SHA256: 464d2a27e97c9e0e7f094cb96db75d2500bf062b28f374a70f6acccd1f189261 SHA1: e7655ef742a0734a83255c21f1e0079708bbbac9 MD5sum: 01ec02b9770dec4389274a5b447b8752 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-mdp Source: mdp Version: 3.5-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1387 Depends: neurodebian-popularity-contest, python3-future, python3-numpy, python3:any (>= 3.3.2-2~), python-numpy, python-future Recommends: python3-pytest, python3-scipy, python3-joblib, python3-sklearn Homepage: http://mdp-toolkit.sourceforge.net/ Priority: optional Section: python Filename: pool/main/m/mdp/python3-mdp_3.5-1~nd90+1_all.deb Size: 275298 SHA256: c7ebf3dacb49fd9c33db382c47b6755564873fe4c73a86e5d3fece2171790014 SHA1: 820f14dd16401efa4797608ab93556fa5427c51d MD5sum: 3d9b7923dfecefc7392e1ad046309a1f Description: Modular toolkit for Data Processing Python data processing framework for building complex data processing software by combining widely used machine learning algorithms into pipelines and networks. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Independent Slow Feature Analysis (ISFA), Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA), and Gaussian Classifiers. . This package contains MDP for Python 3. Package: python3-mpi4py Source: mpi4py Version: 2.0.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2737 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libopenmpi1.10, python3 (<< 3.6), 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_2.0.0-1~nd90+1_amd64.deb Size: 473610 SHA256: 7f4e6ce5e56f45e2e5bd71279505ead9617ca3dd6c5c856e6588aad901b594ba SHA1: 0826af2aa0704d1ddc4acbbd226cbe73c3231874 MD5sum: b7729a5eb5900556abd807d846b6a25f 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: 2.0.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 13078 Depends: neurodebian-popularity-contest, python3-mpi4py (= 2.0.0-1~nd90+1) Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: debug Filename: pool/main/m/mpi4py/python3-mpi4py-dbg_2.0.0-1~nd90+1_amd64.deb Size: 2170296 SHA256: 0a5335ead45283d1d678f8844f5f280a618a8f102699fa47ffb22a0bc93409e5 SHA1: fd08d6b9c753ff3e885887bf2e1781246e9c611e MD5sum: 4137419cfb91fe910b9feac2ada86306 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 196 Depends: neurodebian-popularity-contest, python3 (<< 3.5), python3 (>= 3.4~), libc6 (>= 2.14), 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_amd64.deb Size: 53018 SHA256: 13e84893408a927f8b301123b841143c5926397976c7921ad803c3c21ba38c88 SHA1: b8e8facf8a22377b2cc517365d22146bfd7b22b9 MD5sum: c1fcb6de2378620f2aae0ce1f5a3d251 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: 2.0.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 63314 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_2.0.2-1~nd90+1_all.deb Size: 1962326 SHA256: a7b8e8022eb2bdf83cd5b6cc539f2ac5d60c8ae380194e6f5760a33a13e72bf3 SHA1: 92c8b67d79b666f7072e3f35f03d932a2b4e8075 MD5sum: 4cf6de1fca257cbcb4dbc070d82cb13a 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-nilearn Source: nilearn Version: 0.2.3~dfsg.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2165 Depends: neurodebian-popularity-contest, python3-nibabel (>= 1.1.0), python3:any (>= 3.3.2-2~), python3-numpy (>= 1:1.6), python3-scipy (>= 0.9), python3-sklearn (>= 0.12.1) Recommends: python-matplotlib Homepage: https://nilearn.github.io Priority: extra Section: python Filename: pool/main/n/nilearn/python3-nilearn_0.2.3~dfsg.1-1~nd90+1_all.deb Size: 681124 SHA256: 8d90c5b43bb93c08e1576ac67e36f70615f2b502f93a8ed8b65cf607617b9f27 SHA1: 8c0a3671774d5efb3b40036026ae7ee88ab99247 MD5sum: d948ccfb290067d4313916ca493373c5 Description: fast and easy statistical learning on neuroimaging data (Python 3) This Python module leverages the scikit-learn toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis. . This package provides the Python 3 version. Package: python3-nosexcover Source: nosexcover Version: 1.0.10-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: neurodebian-popularity-contest, python3-coverage, python3-nose, python3:any (>= 3.3.2-2~), python-nose, python-coverage (>= 3.4) Homepage: http://pypi.python.org/pypi/nosexcover Priority: extra Section: python Filename: pool/main/n/nosexcover/python3-nosexcover_1.0.10-2~nd90+1_all.deb Size: 5190 SHA256: c647378e4ac68d6753801dde93798cd63acb59c1bb2d7edaddf8753a9883dc08 SHA1: 106e055cabc299003c29cc626e1c8c7f41c98c79 MD5sum: 75d7fb5666e53c4dd70cbb41a35601d5 Description: Add Cobertura-style XML coverage report to nose A companion to the built-in nose.plugins.cover, this plugin will write out an XML coverage report to a file named coverage.xml. . It will honor all the options you pass to the Nose coverage plugin, especially --cover-package. Package: python3-numexpr Source: numexpr Version: 2.4.3-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 392 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.8.0), python3-numpy-abi9, python3 (<< 3.5), python3 (>= 3.4~), libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://code.google.com/p/numexpr/ Priority: optional Section: python Filename: pool/main/n/numexpr/python3-numexpr_2.4.3-1~nd90+1_amd64.deb Size: 130460 SHA256: 624322632714dfe069a9beb5c72afe2c681e8dc6b48c4a5971f5a544685a2bc0 SHA1: 9614e809d26a6b65a2184382fd06e80ca40d3a56 MD5sum: 8223ee4ed433f18d6633494f18b101ba Description: Fast numerical array expression evaluator for Python 3 and NumPy 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. . This package contains numexpr for Python 3. Package: python3-numexpr-dbg Source: numexpr Version: 2.4.3-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 270 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.8.0), python3-numpy-abi9, python3-dbg (<< 3.5), python3-dbg (>= 3.4~), libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), python3-numexpr (= 2.4.3-1~nd90+1), python3-numpy-dbg Homepage: http://code.google.com/p/numexpr/ Priority: extra Section: debug Filename: pool/main/n/numexpr/python3-numexpr-dbg_2.4.3-1~nd90+1_amd64.deb Size: 106094 SHA256: b2fafbf7d8cf69b9573abf7e116cdd64e9de656fbb31500eb1d92d9180d1cc09 SHA1: 49dc87a239c6b9f4cfa9abda8a0201aa65e4cbe2 MD5sum: 93cf0efbf2c4e217bdf76f0d242367ed Description: Fast numerical array expression evaluator for Python 3 and NumPy (debug ext) 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. . This package contains the extension built for the Python 3 debug interpreter. Package: python3-openpyxl Source: openpyxl Version: 2.3.0-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1319 Depends: neurodebian-popularity-contest, python3-jdcal, python3:any (>= 3.3.2-2~), python3-lxml (>= 3.3.4) | python3-et-xmlfile Recommends: python3-pytest, python3-pil Homepage: http://bitbucket.org/openpyxl/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python3-openpyxl_2.3.0-2~nd90+1_all.deb Size: 198372 SHA256: e7f5bc944890147a3b16d5bd7b786229a1137706c0f5c82098838459a9f60264 SHA1: d35e163bf73c7d047c437ca94236a505f18af94b MD5sum: 425e49ba04d3fc74de7890f207e3a5f4 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-packaging Source: python-packaging Version: 16.2-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 85 Depends: neurodebian-popularity-contest, python3-pyparsing, python3-six, python3:any (>= 3.3.2-2~) Homepage: https://pypi.python.org/pypi/packaging Priority: optional Section: python Filename: pool/main/p/python-packaging/python3-packaging_16.2-2~nd90+1_all.deb Size: 17270 SHA256: 1d3e30f82be2e97addff8b78bcc6505de87ba5a1b9d724259e7cf406739901d1 SHA1: adaba2f1a49b83f8af262406647ffa424ab72487 MD5sum: 6225df2547e50f3d13e80996b697ac7b Description: core utilities for python packages These core utilities currently consist of: - Version Handling (PEP 440) - Dependency Specification (PEP 440) Package: python3-pandas Source: pandas Version: 0.18.0+git114-g6c692ae-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13060 Depends: neurodebian-popularity-contest, python3-dateutil, python3-numpy (>= 1:1.7~), python3-tz, python3:any (>= 3.3.2-2~), python3-pandas-lib (>= 0.18.0+git114-g6c692ae-1~nd90+1), python3-pkg-resources, python3-six Recommends: python3-scipy, python3-matplotlib, python3-numexpr, python3-tables, python3-bs4, python3-html5lib, python3-lxml Suggests: python-pandas-doc Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas_0.18.0+git114-g6c692ae-1~nd90+1_all.deb Size: 1761568 SHA256: e0d93e748dbed8b37c1a51bbc2f7108e0ce7196bd5123953bc61b6edfba4a481 SHA1: a599a8f415c19f3383f9918ccdfbd2ad28ef830a MD5sum: a7e2efdcd0bc46b6d0f8f729b6e843e8 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: 0.18.0+git114-g6c692ae-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 6035 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3 (<< 3.6), python3 (>= 3.5~) Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas-lib_0.18.0+git114-g6c692ae-1~nd90+1_amd64.deb Size: 1545980 SHA256: 1e3b71c7b8fe7e8c616e4c0888dabb9306157d6fb85786487e55e3caf55a2d0a SHA1: 3549af004062c57c60908bedfe5de6883d7e4bd6 MD5sum: f3aaf4a4450f4d89b2d1d0127072d50d 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. 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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. 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Package: python3-sklearn Source: scikit-learn Version: 0.17.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5282 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-numpy, python3-scipy, python3-sklearn-lib (>= 0.17.1-1~nd90+1), python3-joblib (>= 0.9.2) Recommends: python3-nose, python3-matplotlib Suggests: python3-dap, python-sklearn-doc, ipython3 Enhances: python3-mdp, python3-mvpa2 Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn_0.17.1-1~nd90+1_all.deb Size: 1223228 SHA256: f61b73b19ae799341895b0bd1b8a51c38bcd20891bb4e542af0773534afdd2f0 SHA1: f067dc608a99e412bdb7b1b811a1397401476040 MD5sum: 6bf275bbb73b7f6cbb22f3fb51bebbd0 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) . This package contains the Python 3 version. Package: python3-sklearn-lib Source: scikit-learn Version: 0.17.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 9136 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3 (<< 3.6), python3 (>= 3.4~) Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn-lib_0.17.1-1~nd90+1_amd64.deb Size: 1479680 SHA256: 3489e062e4ceb7ff5afccaa8f9c18e4ceb626a2460b5b321f29ef33afcf78dff SHA1: 981797cb280e5cf7ebd6f4b0e8ef696d0a516a4a MD5sum: 727855954ca4186cbfe010c94a307630 Description: low-level implementations and bindings for scikit-learn - Python 3 This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. . This package contains the Python 3 version. 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If the system runs out of resources, or if a memory limit is reached, it will automatically unload unused maps to allow continued operation. . This package for Python 3. 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. . 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Package: python3-tables Source: pytables Version: 3.2.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2791 Depends: neurodebian-popularity-contest, python3-numpy, python3-numexpr, python3:any (>= 3.3.2-2~), python3-tables-lib (>= 3.2.1-1~nd90+1), python3-tables-lib (<< 3.2.1-1~nd90+1.1~), python-tables-data (= 3.2.1-1~nd90+1) Suggests: python-tables-doc, python-netcdf, vitables Homepage: http://www.pytables.org Priority: optional Section: python Filename: pool/main/p/pytables/python3-tables_3.2.1-1~nd90+1_all.deb Size: 334588 SHA256: e7ed085c96cfd227c9cc95eebc50aeffe52a4c1ed7c7b58f5bff63e6621b8625 SHA1: 02e6c841145e979f6f500de3a160740e6ce03577 MD5sum: 4d9654daf36f879161599612f3df2460 Description: hierarchical database for Python3 based on HDF5 PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This is the Python 3 version of the package. Package: python3-tables-dbg Source: pytables Version: 3.2.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1570 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.8.0), python3-numpy-abi9, python3-dbg (<< 3.5), python3-dbg (>= 3.4~), libbz2-1.0, libc6 (>= 2.14), libhdf5-8, liblz4-1 (>= 0.0~r113), liblzo2-2, libsnappy1, zlib1g (>= 1:1.1.4), python3-tables (= 3.2.1-1~nd90+1), python3-tables-lib (= 3.2.1-1~nd90+1), python3-numpy-dbg, python3-numexpr-dbg Suggests: python-tables-doc, python-netcdf Homepage: http://www.pytables.org Priority: extra Section: debug Filename: pool/main/p/pytables/python3-tables-dbg_3.2.1-1~nd90+1_amd64.deb Size: 467632 SHA256: 552005f75cc618389620246bda09aa63bdf07a27e1173827b38d79840c99fc15 SHA1: a22eb0b8e89baff1b962c83a0eb5fd6070cb58e1 MD5sum: 63c9d5576454f9c78faba3eee79d9efb Description: hierarchical database for Python 3 based on HDF5 (debug extension) PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This package contains the extension built for the Python 3 debug interpreter. Package: python3-tables-lib Source: pytables Version: 3.2.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1326 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.8.0), python3-numpy-abi9, python3 (<< 3.5), python3 (>= 3.4~), libbz2-1.0, libc6 (>= 2.14), libhdf5-8, liblz4-1 (>= 0.0~r113), liblzo2-2, libsnappy1, zlib1g (>= 1:1.1.4) Recommends: python3-tables (= 3.2.1-1~nd90+1) Breaks: python3-tables (<< 3.0.0-3) Replaces: python3-tables (<< 3.0.0-3) Homepage: http://www.pytables.org Priority: optional Section: python Filename: pool/main/p/pytables/python3-tables-lib_3.2.1-1~nd90+1_amd64.deb Size: 367938 SHA256: d5f698937a4eaf5c1ff5de438e874a493bd1150f10d162b123def73310c50ab5 SHA1: 32d216540d22928262fc50658e3a369979dd6596 MD5sum: f111472acebbfa97b5ac57e148b33d8f Description: hierarchical database for Python3 based on HDF5 (extension) PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This package contains the extension built for the Python 3 interpreter. 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-vcr Source: vcr.py Version: 1.7.3-1.0.1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 157 Depends: neurodebian-popularity-contest, python3-six (>= 1.5), python3-wrapt, python3-yaml, python3:any (>= 3.3.2-2~) Homepage: https://github.com/kevin1024/vcrpy/ Priority: optional Section: python Filename: pool/main/v/vcr.py/python3-vcr_1.7.3-1.0.1~nd90+1_all.deb Size: 43596 SHA256: d4eb47e29c624f66b0e2cf6d0c3d30a7ab13e0fb50d30735693c46e38bc7f5b7 SHA1: ef87422db4cbcb229e68dce4c080ee274210421e MD5sum: 786cfa64706c4543ce3dcaf15b5e1a4b Description: record and replay HTML interactions (Python3 library) vcr.py records all interactions that take place through the HTML libraries it supports and writes them to flat files, called cassettes (YAML format by default). These cassettes could be replayed then for fast, deterministic and accurate HTML testing. . vcr.py supports the following Python HTTP libraries: - urllib2 (stdlib) - urllib3 - http.client (Python3 stdlib) - Requests - httplib2 - Boto (interface to Amazon Web Services) - Tornado's HTTP client . This package contains the modules for Python 3. 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3283 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_amd64.deb Size: 489638 SHA256: 478e38858ae8484f82e6aa8ce2ba117d62225066e382187de0497e6be54e595c SHA1: 19792933e37b1a591f64742ecb0ff70b8dd62c8a MD5sum: 37e4a54f93d1292a18fd1e3ddf14aef5 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 983 Depends: neurodebian-popularity-contest, libbiosig1, libc6 (>= 2.14), 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_amd64.deb Size: 332454 SHA256: 35be9ec022879af53f6eeff134ec7d7c40c1bfc5d4e4e17f0de19afa4591df19 SHA1: b8411391e09dd9a69182825586e67cacbbbc2f6a MD5sum: 7e8dc2c2042de4f826ead3daac4022ae 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: 0.4.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1962 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_0.4.4-1~nd90+1_all.deb Size: 1291112 SHA256: 2e83375531323c142b40cfbbcf0ecd5dc636a6d7a9e2529ad8e420d5946829ce SHA1: d83259f4f990fe9a0786aa922d110fe735d98ac9 MD5sum: fb561409c7b2eb55831da4fc16996663 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: 0.15.2-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3284 Depends: neurodebian-popularity-contest, libblas3 | libblas.so.3, libc6 (>= 2.14), libcholmod3.0.6, libfftw3-double3, libgcc1 (>= 1:3.0), libhdf5-10, liblapack3 | liblapack.so.3, libpython2.7 (>= 2.7), libstdc++6 (>= 5.2), libwxbase3.0-0v5 (>= 3.0.2+dfsg), libwxgtk3.0-0v5 (>= 3.0.2+dfsg), zlib1g (>= 1:1.1.4), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python2.7, python:any (>= 2.6.6-7~), libsuitesparse-dev, zlib1g-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_0.15.2-1~nd90+1_amd64.deb Size: 922298 SHA256: 28b8a5517e82298674f6b7f4a7dd5e9c3790fd09d72e3a6ff04a4bfa76bee24e SHA1: 26202a18dc0f7b10ad74eb8fd6059af1bd1d94d0 MD5sum: 79c380b2221aab2ba8158991f0e9153c 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: 0.15.2-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 30614 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_0.15.2-1~nd90+1_amd64.deb Size: 6598094 SHA256: 5cca5aafc3ea55b8947ec3b3f441aafa6f340490cefd977615d84b8d7f0cada3 SHA1: 9a84e3d904b3de830ae75c0ee86367670a4f8f3d MD5sum: 378da56d4d53ba897b73469610bae31f 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 175 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_amd64.deb Size: 61894 SHA256: da43e547a1c2e05bbab57ace8b063195a53b6c643b31f11f9d9e7a85d1b947f7 SHA1: eac51c532490fdbc1eeb189cdd138cd5e116ab54 MD5sum: 9abfd4f712e604e87ae0afd56f475e57 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 505 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_amd64.deb Size: 181130 SHA256: 0fcd0b335bfba66c37dc3388510a61df380295fb0e5382084b1bad38a0ff5857 SHA1: 31e81769d254347294d6ebc135755a2ce692bb14 MD5sum: 569458aab6b360aa8d75615282b2eb89 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2510 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_amd64.deb Size: 960366 SHA256: 5370770614d983ad6dc9c26ea6e6c753253838975ebada585084b1dd0b9f2794 SHA1: faca57d070135a47404219ddb5ccd9130a107eba MD5sum: 9cbae2076798f4b2fb56d527a3b5e5cf 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 422 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_amd64.deb Size: 154906 SHA256: 0cb2c46f33fcf5bb92985293ec81e73a730ae3dc0e8ffab47ff964ce6da7234f SHA1: 506d4861b37b69c60a4e4fa2c466d229ef650755 MD5sum: f1f5a1350c2d1df0844924587e4a4ab9 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 602 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_amd64.deb Size: 201668 SHA256: 607d8d8e35e556fe48b482eca240116c0f96ce8b991fb2c1822b8ff09bbf1352 SHA1: ed66730f3b26bb695cddde2f09f89a8d0b2abf5b MD5sum: 5f4254e8eb7f51d20c085c3fd36a5e63 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 20246 Depends: neurodebian-popularity-contest, libboost-python1.55.0, libboost-system1.55.0, libboost-thread1.55.0, libc6 (>= 2.14), 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_amd64.deb Size: 5268928 SHA256: 6acad68be06399c4774fdec82ba1969e777459c979e560d86ec6709351ef493e SHA1: 8507b8cf5d9fef26b6cd3de767a5d922d18fb9c7 MD5sum: a6f67c2be82272d3254a085e7d3179bd 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 46178 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_amd64.deb Size: 44860896 SHA256: cfef2a4ed766f19ac3aa0e08dd4e897ad42f4ad2d4134e7c57f2e4a6489e47f9 SHA1: 66c8f38d3ed8590d0b985dda755512691f6f0d50 MD5sum: f5233266de890450718a03407be98afa 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 387 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_amd64.deb Size: 92710 SHA256: f9ae19454f930bb8eac0fbfd50b83803fd2ceacdfae1d3f077d9fcd1e7e56afe SHA1: 5495103e0bd5ab80731f2414f8c4d1771b969323 MD5sum: 3dc0a7266777082f9e5774e32aa1b41a 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5096 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_amd64.deb Size: 1101388 SHA256: b596fe5bed47901e0591b2fee93bcaa522e2826d2d5505a9285d31826254393b SHA1: ee23bf6d88955c834c7cf67b6f2c8243c7dc150e MD5sum: 311599458a0bcc9059c23c9f315198b2 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 282 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_amd64.deb Size: 72816 SHA256: af8782ddba722555fb2aca23535fcd20666e376bfdef2f85dd66aa41b434ae34 SHA1: a0986c11fefa3255a170c7c81193003ea5c9d765 MD5sum: 6b54dbfcbf9a0019417f75e146ad10ea 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5977 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_amd64.deb Size: 3762772 SHA256: 448cbfca0910bfc25d22fc0591f409f341709074dd1b714c6532d26b8f8a8c8f SHA1: 52204d34005b1513cdaf7af45af1122be32de0a2 MD5sum: 94aaeb92837e874eac8ac49e97df2001 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.