Package: afni-atlases Source: afni-data Version: 0.20180120-1.1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 109419 Homepage: http://afni.nimh.nih.gov Priority: extra Section: science Filename: pool/main/a/afni-data/afni-atlases_0.20180120-1.1_all.deb Size: 98215048 SHA256: b7b30ce4345671d92cb08f939b76de42f81a6839abe3d47dba1db0620fe64e0c SHA1: 792d6506cc866acfa54fc71475f823e686f169f7 MD5sum: deaddf5e6992face9b5edeb62644187c Description: standard space brain atlases for AFNI AFNI is an environment for processing and displaying functional MRI data. It provides a complete analysis toolchain, including 3D cortical surface models, and mapping of volumetric data (SUMA). . This package provide AFNI's standard space brain templates in HEAD/BRIK format. Package: ants Version: 1.9.2+svn680.dfsg-3~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 38344 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libinsighttoolkit3.18, libstdc++6 (>= 4.4.0) Suggests: fsl, gridengine-client Homepage: http://www.picsl.upenn.edu/ANTS/ Priority: extra Section: science Filename: pool/main/a/ants/ants_1.9.2+svn680.dfsg-3~nd60+1_amd64.deb Size: 11479480 SHA256: a80b3cc1b9e1d426387be311151433c2aab4f892bb94738d4541e4387abd2785 SHA1: 0d16f5eb00a937fe79f17e78e644683c7d4afa3d MD5sum: f97fe7c9cb0cf0c78d0a048ee07bc437 Description: advanced normalization tools for brain and image analysis Advanced Normalization Tools (ANTS) is an ITK-based suite of normalization, segmentation and template-building tools for quantitative morphometric analysis. Many of the ANTS registration tools are diffeomorphic, but deformation (elastic and BSpline) transformations are available. Unique components of ANTS include multivariate similarity metrics, landmark guidance, the ability to use label images to guide the mapping and both greedy and space-time optimal implementations of diffeomorphisms. The symmetric normalization (SyN) strategy is a part of the ANTS toolkit as is directly manipulated free form deformation (DMFFD). Package: arno-iptables-firewall Version: 1.9.2.k-3~squeeze.nd1 Architecture: all Maintainer: Michael Hanke Installed-Size: 844 Depends: iptables (>= 1.2.11), gawk, debconf (>= 1.3.22) | cdebconf (>= 0.43), debconf (>= 0.5) | debconf-2.0, iproute Recommends: lynx, dnsutils Homepage: http://rocky.eld.leidenuniv.nl/ Priority: optional Section: net Filename: pool/main/a/arno-iptables-firewall/arno-iptables-firewall_1.9.2.k-3~squeeze.nd1_all.deb Size: 132476 SHA256: b002efbc460e228ef300147169187793cc9cc8b36e7acf807567d35aa8d56099 SHA1: 7945add5a3b0968d8deeac27bb6d5bdf667ff03a MD5sum: ebcb9a6d4f275258f76616360ff739d0 Description: single- and multi-homed firewall script with DSL/ADSL support Unlike other lean iptables frontends in Debian, arno-iptables-firewall will setup and load a secure, restrictive firewall by just asking a few question. This includes configuring internal networks for internet access via NAT and potential network services (e.g. http or ssh). . However, it is in no way restricted to this simple setup. Some catch words of additional features, that can be enabled in the well documented configuration file are: DSL/ADSL, Port forwarding, DMZ's, portscan detection, MAC address filtering. Package: autotools-dev Version: 20100122.1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 216 Depends: neurodebian-popularity-contest Enhances: cdbs, debhelper Homepage: http://savannah.gnu.org/projects/config/ Priority: optional Section: devel Filename: pool/main/a/autotools-dev/autotools-dev_20100122.1~nd60+1_all.deb Size: 72966 SHA256: dee3f923f4e6856aac8efa5aa8c890af4466679721b9a2dd03977c7bddf0d857 SHA1: 2c2a0419c7324111348c91772971ffef898ef835 MD5sum: eab0255d3b1d7620acccb2f6e01b667e Description: Update infrastructure for config.{guess,sub} files This package installs an up-to-date version of config.guess and config.sub, used by the automake and libtool packages. It provides the canonical copy of those files for other packages as well. . It also documents in /usr/share/doc/autotools-dev/README.Debian.gz best practices and guidelines for using autoconf, automake and friends on Debian packages. This is a must-read for any developers packaging software that uses the GNU autotools, or GNU gettext. . Additionally this package provides seamless integration into Debhelper or CDBS, allowing maintainers to easily update config.{guess,sub} files in their packages. Package: bats Version: 0.4.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 44 Depends: neurodebian-popularity-contest Homepage: https://github.com/sstephenson/bats Priority: optional Section: shells Filename: pool/main/b/bats/bats_0.4.0-1~nd60+1_all.deb Size: 15364 SHA256: 1d28aa85106251f672d8bec292b93acaaecb46aaebee5247dddadaa6954a16c6 SHA1: 384c7972d6fbe0a6740e0391fba0847c28ce4125 MD5sum: d0a40a017a79302afcf5486a6549cd4b 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 684 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libcholmod1.7.1 (>= 1:3.4.0), 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~nd60+1_amd64.deb Size: 280824 SHA256: 190b9c7c6aa2d8c48fbe5327905c176706e724c5c06120a4163793eb5b184ed0 SHA1: 50271d45e032e550f316552a290a55f3ecd550ed MD5sum: 8cc1b90db4d94ce4ffd93d9506466958 Description: format conversion tools for biomedical data formats Based on BioSig library, this package provides command line tools, such as . - save2gdf: converter between different file formats, including but not limited to SCP-ECG(EN1064), HL7aECG (FDA-XML), GDF, EDF, BDF, CWFB. save2gdf can be also used to upload or retrieve data from a bscs server. Package: btrbk Version: 0.20.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 140 Depends: neurodebian-popularity-contest, perl, libdate-calc-perl, btrfs-tools (>= 3.14) Suggests: openssh-client Homepage: http://www.digint.ch/btrbk/ Priority: optional Section: utils Filename: pool/main/b/btrbk/btrbk_0.20.0-1~nd60+1_all.deb Size: 38024 SHA256: d255d4efff5f8f557ffb1a0646351d7e6bbfecbca0a848613a78b3541ff23da8 SHA1: 44cc1197c8cd1dd0d0901876246a5f2cdd6f10bd MD5sum: 0322f4b51258c56b3dda7ec15cfb5a1d 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: caret Version: 5.6.4~dfsg.1-2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 19600 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libgomp1 (>= 4.2.1), libminc2-1, libqt4-network (>= 4:4.5.3), libqt4-opengl (>= 4:4.5.3), libqt4-xml (>= 4:4.5.3), libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.5.3), libqwt5-qt4, libstdc++6 (>= 4.4.0), libvtk5.4, zlib1g (>= 1:1.2.3.3.dfsg) Recommends: qt-assistant-compat Suggests: caret-data (>= 5.6.2~dfsg.1~) Homepage: http://brainvis.wustl.edu/wiki/index.php/Caret:About Priority: optional Section: science Filename: pool/main/c/caret/caret_5.6.4~dfsg.1-2~nd60+1_amd64.deb Size: 7564110 SHA256: 024d15199c14745767213141814eda7aabdb2531edf491266d83c9c0ccc4e2b8 SHA1: bfd080c97031b7ef8f43831b31ba1d228b75d656 MD5sum: da08427250f9a5a3732f88b1847c92d1 Description: Computerized Anatomical Reconstruction and Editing Toolkit This software allows for creating, viewing and manipulating surface reconstructions of the cerebral and cerebellar cortex, viewing volumes and for displaying experimental data on the surfaces and volumes. While Caret is primarily a GUI application with 'caret_command' there is also a versatile command line tool, that allows access to a substantial proportion of Caret's functionality. . Caret can download and use stereotaxic atlases (human, monkey, mouse and rat) from an open online database. . Some functionality of Caret is only available when additional data files, provided by the caret-data package, are available. This includes: . - Map volumes to surface via PALS atlas - Multi-resolution morphing - Projection of foci via PALS atlas - Surface-based registration - Surface flattening . Currently the caret-data package is only available from the NeuroDebian repository. Please see http://neuro.debian.net for more information. Package: cde Version: 0.1+git9-g551e54d-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1008 Depends: neurodebian-popularity-contest, libc6 (>= 2.3) Homepage: http://www.pgbovine.net/cde.html Priority: optional Section: utils Filename: pool/main/c/cde/cde_0.1+git9-g551e54d-1~nd60+1_amd64.deb Size: 354608 SHA256: a146c32bac8e5cd12cc5f85e7430ac8304d002f73216df10a98c33ff8286f33a SHA1: 68a49400633e36ae6b0b2f1d7c1a2e0d9e0f99ce MD5sum: 414f189edc4e326d7db22cbf4fb6e95a 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 272 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~nd60+1_amd64.deb Size: 66620 SHA256: a116ff07732f169218bb908d18479777367eaf0be56931ec76984ad5f34c1e0f SHA1: 233381b15a9216ed201b639894ddae501807053f MD5sum: ed7d16efe8b3523d1b75e295ae452bac 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 12320 Depends: neurodebian-popularity-contest, libbz2-1.0, libc6 (>= 2.7), libdcmtk1 (>= 3.5.4), libfftw3-3, libgcc1 (>= 1:4.1.1), libgomp1 (>= 4.2.1), libpng12-0 (>= 1.2.13-4), libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.5.3), libsqlite3-0 (>= 3.7.3), libstdc++6 (>= 4.4.0), libtiff4, 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~nd60+1_amd64.deb Size: 4414946 SHA256: af73fc3c40210f95db29a3edb794b9f269334ae2cf63e32d166bbc68ebfb39b3 SHA1: a18c9ac9d8b3b75fd99b94affcb305a5e6e4ae66 MD5sum: ba6beefa0fcaeae462bdd75b9db27afb 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: condor Version: 7.8.8~dfsg.1-2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 11616 Depends: neurodebian-popularity-contest, debconf (>= 0.5) | debconf-2.0, libc6 (>= 2.7), libclassad3, libcomerr2 (>= 1.01), libcurl3 (>= 7.16.2-1), libexpat1 (>= 1.95.8), libgcc1 (>= 1:4.1.1), libglobus-callout0, libglobus-common0, libglobus-ftp-control1, libglobus-gass-transfer2, libglobus-gram-client3, libglobus-gram-protocol3, libglobus-gsi-callback0, libglobus-gsi-cert-utils0, libglobus-gsi-credential1, libglobus-gsi-openssl-error0, libglobus-gsi-proxy-core0, libglobus-gsi-proxy-ssl1, libglobus-gsi-sysconfig1, libglobus-gss-assist3, libglobus-gssapi-error2, libglobus-gssapi-gsi4, libglobus-io3, libglobus-openssl-module0, libglobus-rsl2, libglobus-xio0, libgssapi-krb5-2 (>= 1.6.dfsg.2), libk5crypto3 (>= 1.6.dfsg.2), libkrb5-3 (>= 1.7dfsg), libkrb5support0 (>= 1.7dfsg~beta2), libldap-2.4-2 (>= 2.4.7), libltdl7 (>= 2.2.6b), libpcre3 (>= 7.7), libssl0.9.8 (>= 0.9.8m-1), libstdc++6 (>= 4.4.0), libuuid1 (>= 2.16), libvirt0 (>= 0.5.0), libxml2 (>= 2.6.27), zlib1g (>= 1:1.1.4), python, perl, adduser, libdate-manip-perl Recommends: dmtcp Suggests: coop-computing-tools Homepage: http://research.cs.wisc.edu/condor Priority: extra Section: science Filename: pool/main/c/condor/condor_7.8.8~dfsg.1-2~nd60+1_amd64.deb Size: 4507546 SHA256: abf82970aa2274894f95a212d7be9f05c4592bd48bc941fc797a7b05e01a354a SHA1: e8a72b9a5f61b0ce9e55a3a35e20ab5539c68602 MD5sum: 0fd9be9f84d278ad892e60f6ee412746 Description: distributed workload management system Like other full-featured batch systems, Condor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to Condor; Condor 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, Condor can also effectively harness wasted CPU power from otherwise idle desktop workstations. Condor does not require a shared file system across machines - if no shared file system is available, Condor 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 Condor pool or as a "Personal" (single machine) Condor pool. Package: condor-dbg Source: condor Version: 7.8.8~dfsg.1-2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 41256 Depends: neurodebian-popularity-contest, condor (= 7.8.8~dfsg.1-2~nd60+1) Homepage: http://research.cs.wisc.edu/condor Priority: extra Section: debug Filename: pool/main/c/condor/condor-dbg_7.8.8~dfsg.1-2~nd60+1_amd64.deb Size: 14276284 SHA256: 5ae33bfef05c29fa17171a990e2924647c3a6f03d11c9b8b3866060adaf53922 SHA1: adb2d096a8b9cc59343d9ff8012bd3472dfd78ee MD5sum: 591cf858c73f7f6c8306ac0712499289 Description: distributed workload management system - debugging symbols Like other full-featured batch systems, Condor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to Condor; Condor 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, Condor can also effectively harness wasted CPU power from otherwise idle desktop workstations. Condor does not require a shared file system across machines - if no shared file system is available, Condor can transfer the job's data files on behalf of the user. . This package provides the debugging symbols for Condor. Package: condor-dev Source: condor Version: 7.8.8~dfsg.1-2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 1504 Depends: neurodebian-popularity-contest Homepage: http://research.cs.wisc.edu/condor Priority: extra Section: devel Filename: pool/main/c/condor/condor-dev_7.8.8~dfsg.1-2~nd60+1_amd64.deb Size: 371450 SHA256: 0cf0e2620261b9e093ee561e28075595317f6d8f6582965ea71b9fe4e38fa623 SHA1: a8a093c5cd03d70de5fd90aad867bd68faabbdee MD5sum: 72d4c7746f81d5a8ae1af56fbaf72e70 Description: distributed workload management system - development files Like other full-featured batch systems, Condor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to Condor; Condor 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, Condor can also effectively harness wasted CPU power from otherwise idle desktop workstations. Condor does not require a shared file system across machines - if no shared file system is available, Condor can transfer the job's data files on behalf of the user. . This package provides headers and libraries for development of Condor add-ons. Package: condor-doc Source: condor Version: 7.8.8~dfsg.1-2~nd60+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 7008 Depends: neurodebian-popularity-contest Homepage: http://research.cs.wisc.edu/condor Priority: extra Section: doc Filename: pool/main/c/condor/condor-doc_7.8.8~dfsg.1-2~nd60+1_all.deb Size: 1457546 SHA256: 15866458e3408f2503101382aab880e5f7e25f9bb83a4205a24f242ea2b95c2e SHA1: 211258510ed5869de42f463f470df472b5f71d96 MD5sum: 46fc80922289b80717f2671c7c26d72d Description: distributed workload management system - documentation Like other full-featured batch systems, Condor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to Condor; Condor 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, Condor can also effectively harness wasted CPU power from otherwise idle desktop workstations. Condor does not require a shared file system across machines - if no shared file system is available, Condor can transfer the job's data files on behalf of the user. . This package provides Condor's documentation in HTML and PDF format, as well as configuration and other examples. Package: connectomeviewer Version: 2.0.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1884 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, 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_2.0.0-1~nd60+1_all.deb Size: 1354956 SHA256: b0950f7c42d584f3476f79920cdbfcc342d10563f1b06b88acaab7263c36add6 SHA1: a713af7f9f16e3b54e22916ee6498bdaafebd798 MD5sum: 02d405b1f02ad49b4c2192af7ee48f1b 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3836 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.4), libfuse2 (>= 2.8.1), libglobus-common0, libglobus-gss-assist3, libglobus-gssapi-gsi4, libkrb5-3 (>= 1.6.dfsg.2), libmysqlclient16 (>= 5.1.21-1), libncurses5 (>= 5.7+20100313), libopenmpi1.3, libreadline6 (>= 6.0), libstdc++6 (>= 4.1.1), 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~nd60+1_amd64.deb Size: 1471364 SHA256: ca78979bdec4715511204940a914abdd241f3bb194ba66e0aaf894801b446858 SHA1: dd308cb9c9a424676f2b4ba7a378f48e6e59f855 MD5sum: b52e10d22c7a3267324a413cb5b47e73 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1224 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~nd60+1_amd64.deb Size: 244670 SHA256: fdc5f223ba946f1fdfd368c93e45b2a34d13b3c43a8adf599a46fad820fe3965 SHA1: 4013c73043549346353aec6de282eaf850513914 MD5sum: ac6bf56c763fc76ef0c60902858982fc 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~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2676 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~nd60+1_all.deb Size: 303978 SHA256: 02f046f23d55becc2755a8ca914586b2de0d9bf606ed29a3575b3194e7b2eb5c SHA1: 9ad253f98144263653d52f26bdf39864f45c1dd6 MD5sum: c7af39ed432c13e3360d6f131d4dcccb 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: cython Version: 0.13-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4924 Depends: python (<< 2.7), python (>= 2.5), python-support (>= 0.90.0), python2.6, libc6 (>= 2.3) Suggests: gcc Homepage: http://cython.org/ Priority: optional Section: python Filename: pool/main/c/cython/cython_0.13-1~nd60+1_amd64.deb Size: 1331862 SHA256: 22f7506f5a19bb2bf75e29dbd27ca63e75fcc34c32630c21ff33fdc74f1c096a SHA1: ef4f6d6c619233f61ba975cfa9ff0589bf44855f MD5sum: added61380c2e8e7e3dad8d6cf5f9d5d Description: C-Extensions for Python Cython is a language that makes writing C extensions for the Python language as easy as Python itself. Cython is based on the well-known Pyrex, but supports more cutting edge functionality and optimizations. . The Cython language is very close to the Python language, but Cython additionally supports calling C functions and declaring C types on variables and class attributes. This allows the compiler to generate very efficient C code from Cython code. . This makes Cython the ideal language for wrapping for external C libraries, and for fast C modules that speed up the execution of Python code. Python-Version: 2.5, 2.6 Package: cython-dbg Source: cython Version: 0.13-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 10552 Depends: python (<< 2.7), python (>= 2.5), python-support (>= 0.90.0), libc6 (>= 2.3), cython (= 0.13-1~nd60+1) Suggests: gcc Homepage: http://cython.org/ Priority: extra Section: debug Filename: pool/main/c/cython/cython-dbg_0.13-1~nd60+1_amd64.deb Size: 3422986 SHA256: 654ce21ca53f650629c50f607beb15915f72df8c5af595ec985cff34956d231e SHA1: 92739a417384b350ff63d57e9767d96f3c4ec648 MD5sum: d45deeb7aaf79ecefce8f55af58b4740 Description: C-Extensions for Python (Debug Build of Cython) This package contains Cython libraries built against versions of Python configured with --pydebug. Python-Version: 2.5, 2.6 Package: datalad Version: 0.17.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 224 Depends: neurodebian-popularity-contest, python3-datalad (= 0.17.5-1~nd+1), python3-argcomplete (>= 1.12.3), python3:any Suggests: datalad-container, datalad-crawler, datalad-neuroimaging Homepage: https://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.17.5-1~nd+1_all.deb Size: 187092 SHA256: dcfab5ab31ab85c685b4439648c3095efb236b34c92eb2f870fc1376dd0dbab1 SHA1: e8a088bc96e73f10444588eede93689410943c07 MD5sum: a4020bc221d05979fe1738d432660717 Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) Package: debhelper Version: 9.20120909~bpo60+1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1712 Depends: neurodebian-popularity-contest, perl, file (>= 3.23), dpkg-dev (>= 1.14.19), html2text, binutils, po-debconf, man-db (>= 2.5.1-1) Suggests: dh-make Conflicts: automake (<< 1.11.2), dpkg-cross (<< 1.18), python-central (<< 0.5.6), python-support (<< 0.5.3) Homepage: http://kitenet.net/~joey/code/debhelper/ Priority: optional Section: devel Filename: pool/main/d/debhelper/debhelper_9.20120909~bpo60+1~nd60+1_all.deb Size: 705144 SHA256: bbbf35433fe5c1db629d79116e208ace8d90f7673772b26cd7b230f90a620119 SHA1: 00cdf00ccaa30c36d8c311fa5ce1a8415e7b0d81 MD5sum: e3e5c4e260cbdb4c183c4bb4d4ba12c2 Description: helper programs for debian/rules A collection of programs that can be used in a debian/rules file to automate common tasks related to building debian packages. Programs are included to install various files into your package, compress files, fix file permissions, integrate your package with the debian menu system, debconf, doc-base, etc. Most debian packages use debhelper as part of their build process. Package: debian-handbook Version: 6.0+20120509~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23215 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_all.deb Size: 21998670 SHA256: b33f038d8363175473cc056a5f98fc7af52386a466b45d4b2e42d2f25233a3ed SHA1: 7a0b369b4548a3f4fb61aa1ef9efa2ddf2b319e2 MD5sum: 3e3d2cf990fcc5ed1ed6bdbfb5c1c3dd 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: debootstrap Version: 1.0.26+squeeze1+nd2 Architecture: all Maintainer: Debian Install System Team Installed-Size: 228 Depends: wget Recommends: gnupg Priority: extra Section: admin Filename: pool/main/d/debootstrap/debootstrap_1.0.26+squeeze1+nd2_all.deb Size: 57968 SHA256: a67ca5bb752abb8a685119181a8441adaf618c73c6d908d23e1d0833e5f0b46d SHA1: d0cd11357a327591e2bc76ffb8e81341231adb2f MD5sum: 482fab29e945ecd9ea88e67078bcf209 Description: Bootstrap a basic Debian system debootstrap is used to create a Debian base system from scratch, without requiring the availability of dpkg or apt. It does this by downloading .deb files from a mirror site, and carefully unpacking them into a directory which can eventually be chrooted into. Package: debruijn Version: 1.6-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 80 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libfftw3-3, libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.2.1) 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~nd60+1_amd64.deb Size: 38016 SHA256: 0549d55d32efa647cc91702152bb3f83110e9f46d9f9cbe5d4bd0abb6b33f595 SHA1: 8a9245426a2e06fe79ee2505b4e03444d67ee2b1 MD5sum: 4e0a8b4d4b7cb03abcd9e46583396f42 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~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 72 Depends: neurodebian-popularity-contest, perl, debhelper Multi-Arch: foreign Priority: extra Section: admin Filename: pool/main/i/init-system-helpers/dh-systemd_1.18~nd60+1_all.deb Size: 14624 SHA256: 519875e82455e6ca5299d49583d56d6a7caf62bce17e61fcabad2a126276de08 SHA1: 7812d504450df302939c84ab60dc55cbd5e04058 MD5sum: 4b3598fcc89f9495b51b65ca41fd17d8 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: 2.30.0-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 472 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libnifti2, libstdc++6 (>= 4.4.0) Homepage: http://cbi.nyu.edu/software/dinifti.php Priority: optional Section: science Filename: pool/main/d/dicomnifti/dicomnifti_2.30.0-1~nd60+1_amd64.deb Size: 159276 SHA256: 102ef572f6de2467497a0aacbd10626f623985fecd521e649dfd8e78cff37b1a SHA1: c2888945ca171f1e311b57c5dbfb1400eb2e9812 MD5sum: 86b08c16102b1c7c2250c20fbc007cf1 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2668 Depends: neurodebian-popularity-contest, libc6 (>= 2.10), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.4.0) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: utils Filename: pool/main/d/dmtcp/dmtcp_2.3.1-6~nd60+1_amd64.deb Size: 1149872 SHA256: 2f55a5b856a13908942a2f5a74981e50ea042538e0f868aac3392d1c183a9534 SHA1: 9291a0bc0d9475f37eadd3eb7a78ea32d1506e97 MD5sum: f704b8182073637b70a9bca6259f77eb 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 15888 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~nd60+1_amd64.deb Size: 4968688 SHA256: b5d3665e1e4f837dbd729a2883ca3856b7bdf9c5367fe336e1363cccbc00f7c1 SHA1: 9cdb21529cb59d7a3c0d6c8b0fb834d654a37724 MD5sum: c3b1391d6148b2d664da6182195ad032 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: eatmydata Source: libeatmydata Version: 26-2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5) Provides: libeatmydata Homepage: https://launchpad.net/libeatmydata Priority: optional Section: utils Filename: pool/main/libe/libeatmydata/eatmydata_26-2~nd60+1_amd64.deb Size: 8244 SHA256: 15fa72ea7a9aeec363c1ff2a7e7df20220dba758ffe9ed49c091f850e1c1bddd SHA1: 76aafdb1662488669bae89896279c4694ae5e4fd MD5sum: 1fc3af7d3d6af58c92519d5a22ff4ebd Description: library and utilities designed to disable fsync and friends This package contains a small LD_PRELOAD library (libeatmydata) and a couple of helper utilities designed to transparently disable fsync and friends (like open(O_SYNC)). This has two side-effects: making software that writes data safely to disk a lot quicker and making this software no longer crash safe. . You will find eatmydata useful if particular software calls fsync(), sync() etc. frequently but the data it stores is not that valuable to you and you may afford losing it in case of system crash. Data-to-disk synchronization calls are typically very slow on modern file systems and their extensive usage might slow down software significantly. It does not make sense to accept such a hit in performance if data being manipulated is not very important. . On the other hand, do not use eatmydata when you care about what software stores or it manipulates important components of your system. The library is called libEAT-MY-DATA for a reason. Package: edac-utils Version: 0.18-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), 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~nd60+1_amd64.deb Size: 29164 SHA256: b7a851b4385546a4a339d1ad7a12764df2ad15edab3d9b430bceb4bb51dababf SHA1: 9ee874b8ea6e3a75b92059230abdbc0e4fb26484 MD5sum: bdc0e170fcb4e64ebbdda801df34e76e 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: eegdev-plugins-free Source: eegdev Version: 0.2-3~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 384 Depends: neurodebian-popularity-contest, libeegdev0 (= 0.2-3~nd60+1), libc6 (>= 2.3.3), libexpat1 (>= 1.95.8), libusb-1.0-0 (>= 2:1.0.8), libxdffileio0 (>= 0.0) Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: libs Filename: pool/main/e/eegdev/eegdev-plugins-free_0.2-3~nd60+1_amd64.deb Size: 193408 SHA256: 50d0919b66021db35aaa03fb1c6f02c17ef2123825b6b383682b79932751cc38 SHA1: db7843ab16fe2961888f0c412c7bce498cb16863 MD5sum: 57509b76d4f38c6f52a729607e449f7f Description: Biosignal acquisition device library (free plugins) eegdev is a library that provides a unified interface for accessing various EEG (and other biosignals) acquisition systems. This interface has been designed to be both flexible and efficient. The device specific part is implemented by the mean of plugins which makes adding new device backend fairly easy even if the library does not support them yet officially. . The core library not only provides to users a unified and consistent interfaces to the acquisition device but it also provides many functionalities to the device backends (plugins) ranging from configuration to data casting and scaling making writing new device backend an easy task. . This library is particularly useful to handle the acquisition part of a Brain Computer Interface (BCI) or any realtime multi-electrode acquisition in neurophysiological research. . This package contains the devices plugins that depends only on free components. Package: eeglab11-sampledata Source: eeglab11 Version: 11.0.0.0~b~dfsg.1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8144 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/e/eeglab11/eeglab11-sampledata_11.0.0.0~b~dfsg.1-1~nd60+1_all.deb Size: 7224698 SHA256: a949ef784b2c7f5ae0b5b9100560fae81c897e84e80867b8c3b8ecfad708d35a SHA1: 2b43e6ccafdcf7014cfcfaf50b0fa9b02c9b501b MD5sum: 352d3cdaa19694e929bf647167979968 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: eegview Version: 0.0-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 64 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libeegdev0, libmcpanel0 (>= 0.0), libxdffileio0 (>= 0.0) Homepage: http://cnbi.epfl.ch/software/eegview.html Priority: extra Section: science Filename: pool/main/e/eegview/eegview_0.0-1~nd60+1_amd64.deb Size: 13032 SHA256: b5fa6d212139b9915fd92d592bc5b4b580a924a2f3919f3e4693836e2f299df8 SHA1: c8c5b73d14a0a2254a0bdbfe60691beed09f61a7 MD5sum: c0ec4cc88ad976ae7d9138f2a385c649 Description: Software to display EEG data in realtime This software allows one to display EEG signal in realtime as well as record them. It is the minimal recording panel needed to do simple experiment. Package: environment-modules Source: modules Version: 3.2.10-8~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 260 Depends: neurodebian-popularity-contest, debhelper (>= 9), tcl8.6 | tcl, libc6 (>= 2.3), tcl8.4 (>= 8.4.16) Homepage: http://modules.sourceforge.net/ Priority: optional Section: devel Filename: pool/main/m/modules/environment-modules_3.2.10-8~nd60+1_amd64.deb Size: 99042 SHA256: 9eadc94c63d15764867759d4d29cc8170ef92cc62e444076cba21e88dc1565c5 SHA1: bf479e1307a585843a9b0f81d231aa3b74c0db63 MD5sum: ae379c07688f455f80506f3c9e6cbce8 Description: Modular system for handling environment variables The Modules package provides for the dynamic modification of a user's environment via modulefiles. Each modulefile contains the information needed to configure the shell for an application. Once the Modules package is initialized, the environment can be modified dynamically on a per-module basis using the module command which interprets modulefiles. Typically modulefiles instruct the module command to alter or set shell environment variables such as PATH, MANPATH, etc. modulefiles may be shared by many users on a system and users may have their own collection to supplement or replace the shared modulefiles. The modules environment is common on SGI/Crays and many workstation farms. Package: fail2ban Version: 0.8.13-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1012 Depends: neurodebian-popularity-contest, python (>= 2.6.6-3+squeeze3~), lsb-base (>= 2.0-7) Recommends: iptables, whois, python-pyinotify Suggests: python-gamin, mailx, system-log-daemon Homepage: http://www.fail2ban.org Priority: optional Section: net Filename: pool/main/f/fail2ban/fail2ban_0.8.13-1~nd60+1_all.deb Size: 185260 SHA256: 3e3af6eba8879b07f9fd6ac87c047ba17428543c122a768268f74c8e24c9374d SHA1: 8709b4675fa465a4abed703943e875fbfc9c4ebc MD5sum: 0c90a6f3d5ffe4eef3a0dbad46bf6c58 Description: ban hosts that cause multiple authentication errors Fail2ban monitors log files (e.g. /var/log/auth.log, /var/log/apache/access.log) and temporarily or persistently bans failure-prone addresses by updating existing firewall rules. Fail2ban allows easy specification of different actions to be taken such as to ban an IP using iptables or hostsdeny rules, or simply to send a notification email. . By default, it comes with filter expressions for various services (sshd, apache, qmail, proftpd, sasl etc.) but configuration can be easily extended for monitoring any other text file. All filters and actions are given in the config files, thus fail2ban can be adopted to be used with a variety of files and firewalls. Package: freeipmi Version: 1.4.9-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd60+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~nd60+1_all.deb Size: 1118 SHA256: 6562bb9fe4374ce81a0d4acfaba5309a2d1835bc7cf9620e4028bfa19e0857bd SHA1: 9956a82e71d9b14b6f2b833c610e9436c0a29f9a MD5sum: a1e6bd433da8ce9d9c82121cf999df11 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 152 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.3), libfreeipmi16 (>= 1.1.5), libgcrypt11 (>= 1.4.2), freeipmi-common (= 1.4.9-1~nd60+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~nd60+1_amd64.deb Size: 54780 SHA256: 2552619954ecf4e0055aacf1a7daa6da8f48e20ff300bd4fd94a79564f62948e SHA1: b66cdd9bdea31b440e82c593b37916b2331d238f MD5sum: 8b0228a4d7087f6b748a33a964e3d7c2 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~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 548 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~nd60+1_all.deb Size: 346166 SHA256: dff9a3ccd7eeefe19e6a59bdf5b41def10104cc149b26b3bf1c989920119ed98 SHA1: 4ca23481906aee7b1d2a0aa45e411a661f2adcb3 MD5sum: 2420bbd23e6190eea20bd63147bcd3c8 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 140 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.3), libfreeipmi16 (>= 1.1.5), libgcrypt11 (>= 1.4.2), libipmidetect0 (>= 1.1.5), freeipmi-common (= 1.4.9-1~nd60+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-ipmidetect_1.4.9-1~nd60+1_amd64.deb Size: 51294 SHA256: 878c5561a09f71f4244a82c084d70226dcce3df915fcb84867dcf8ec71f480a7 SHA1: f449971c1fb3d50681b68f4e506e6692de5d0b2e MD5sum: 67c48d2125e2efdc6248aac6ae777ec4 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 208 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.3.2), libfreeipmi16 (>= 1.4.4), libgcrypt11 (>= 1.4.2), freeipmi-common (= 1.4.9-1~nd60+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~nd60+1_amd64.deb Size: 91892 SHA256: c006909ee767cc1fe6edefe6839c621e93a6fcfa816dfbc6e96d2394632943af SHA1: d643ab5f18c9879dfa643e0637e4b23297dc21d0 MD5sum: 6c6131a2ec18cc83fad91a5c305138cc 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2844 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.2), libfreeipmi16 (>= 1.4.9-1~nd60+1), libgcrypt11 (>= 1.4.2), libipmiconsole2 (>= 1.4.4), libipmidetect0 (>= 1.1.5), freeipmi-common (= 1.4.9-1~nd60+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~nd60+1_amd64.deb Size: 1235278 SHA256: 75c4005eaf93c453d4013a72e42494d49d3f871277dfcc074a059a4cd0ea705a SHA1: 22bfcd2f4396cb527cffac395207cd69d0af58ce MD5sum: a284a367d45fc5a08bc764d8f77b2744 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: 1:0.1.2+dfsg-6~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 12 Depends: neurodebian-popularity-contest, libfreenect-bin, libfreenect-dev, libfreenect0.1, libfreenect-doc Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/freenect_0.1.2+dfsg-6~nd60+1_amd64.deb Size: 7356 SHA256: 87b30665eb48c49058a1106e70f8bd10c39d383b630ebbc0e445283e21185458 SHA1: 78d93938518ce3dbc2ab21847723376594321557 MD5sum: 08f2862776b2de313143aa45a1604349 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: fslview Version: 3.1.8+4.1.9-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4112 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libnewmat10ldbl, libnifti2, libqt3-mt (>= 3:3.3.8b), libqwt4c2, libstdc++6 (>= 4.4.0), libvtk5.4, libvtk5.4-qt3 Recommends: fslview-doc 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_3.1.8+4.1.9-1~nd60+1_amd64.deb Size: 1524156 SHA256: 040603f82aef58d12a8bef582518b3f0c283af054a07ed5b1b63fccead7243ed SHA1: 80cf1fee86c344d12f25fead8740b62bdce21a0b MD5sum: 1c1db4052725402cb106617c817454b7 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: 3.1.8+4.1.9-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3124 Depends: neurodebian-popularity-contest, qt3-assistant Homepage: http://www.fmrib.ox.ac.uk/fsl/fslview Priority: optional Section: doc Filename: pool/main/f/fslview/fslview-doc_3.1.8+4.1.9-1~nd60+1_all.deb Size: 2351302 SHA256: 64c32f8bbbbbfddfc65e97d37eec4341d377874849c6e8f7f759aeae873e7a45 SHA1: 73726555ec7747f07c2bef1b77c62eb10e381e09 MD5sum: 66b10fb39b745b649ba377098763568b Description: Documentation for FSLView This package provides the online documentation for FSLView. . FSLView is part of FSL. Package: gdf-tools Source: libgdf Version: 0.1.2-2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 120 Depends: neurodebian-popularity-contest, libboost-filesystem1.42.0 (>= 1.42.0-1), libboost-program-options1.42.0 (>= 1.42.0-1), libboost-system1.42.0 (>= 1.42.0-1), libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libgdf0, libstdc++6 (>= 4.4.0) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: utils Filename: pool/main/libg/libgdf/gdf-tools_0.1.2-2~nd60+1_amd64.deb Size: 40392 SHA256: fa428a22bb8e55298dc9ee3b138462881df26b8afdf4498438c3a59926829169 SHA1: 8ca20b0c3c4967e909e37dad77616de783ece755 MD5sum: 8bf812c5a7cc6e6a2e04708e18fe81f5 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: gifti-bin Source: gifticlib Version: 1.0.9-1~squeeze.nd1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 124 Depends: libc6 (>= 2.2.5), libexpat1 (>= 1.95.8), libgiftiio0, libnifti2, zlib1g (>= 1:1.1.4) Homepage: http://www.nitrc.org/projects/gifti Priority: optional Section: utils Filename: pool/main/g/gifticlib/gifti-bin_1.0.9-1~squeeze.nd1_amd64.deb Size: 29324 SHA256: e2556c47eccb3a6a5016e1f1ad69c37faab71d5df40ff05ca3922b3c34a2d339 SHA1: 8c0404cc4418f02b2fedc4d753f3793855952ee6 MD5sum: 9c226f7c644ff53a56e3e4150769f7b7 Description: tools shipped with the GIFTI library GIFTI is an XML-based file format for cortical surface data. This reference IO implementation is developed by the Neuroimaging Informatics Technology Initiative (NIfTI). . This package provides the tools that are shipped with the library (gifti_tool and gifti_test). Package: git-annex-remote-rclone Version: 0.5-1~ndall+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: neurodebian-popularity-contest, git-annex | git-annex-standalone, rclone Homepage: https://github.com/DanielDent/git-annex-remote-rclone Priority: optional Section: utils Filename: pool/main/g/git-annex-remote-rclone/git-annex-remote-rclone_0.5-1~ndall+1_all.deb Size: 7842 SHA256: 0b1d65c740ce1073ecdae6db121d304fe02c4bb95df552326894118a65b38319 SHA1: 34a2323c4387e61c4a69617150c463f9a7b772c5 MD5sum: 00c5a0407a998eba72d4f5eb0ad71189 Description: rclone-based git annex special remote This is a wrapper around rclone to make any destination supported by rclone usable with git-annex. . Cloud storage providers supported by rclone currently include: * Google Drive * Amazon S3 * Openstack Swift / Rackspace cloud files / Memset Memstore * Dropbox * Google Cloud Storage * Microsoft One Drive * Hubic * Backblaze B2 * Yandex Disk . Note: although Amazon Cloud Drive support is implemented, it is broken ATM see https://github.com/DanielDent/git-annex-remote-rclone/issues/22 . Package: git-annex-standalone Source: git-annex Version: 10.20241031-1~ndall+1 Architecture: amd64 Maintainer: Richard Hartmann Installed-Size: 166312 Depends: git, netbase, openssh-client Recommends: lsof, gnupg, bind9-host, yt-dlp, git-remote-gcrypt (>= 0.20130908-6), nocache, aria2 Suggests: xdot, bup, adb, tor, magic-wormhole, tahoe-lafs, libnss-mdns, uftp Conflicts: git-annex Breaks: datalad (<= 0.12.3~) Provides: git-annex Homepage: http://git-annex.branchable.com/ Priority: optional Section: utils Filename: pool/main/g/git-annex/git-annex-standalone_10.20241031-1~ndall+1_amd64.deb Size: 53000596 SHA256: 8080805f2216a629460f3b65242f5562fd0f1ac34403ca0713bb0a1e132ea172 SHA1: 01eba33bc328a2698a427d7006259343f31b4a5a MD5sum: b572f29657b3bba8053a3ec047ec2ed5 Description: manage files with git, without checking their contents into git -- standalone build git-annex allows managing large files with git, without storing the file contents in git. It can sync, backup, and archive your data, offline and online. Checksums and encryption keep your data safe and secure. Bring the power and distributed nature of git to bear on your large files with git-annex. . It can store large files in many places, from local hard drives, to a large number of cloud storage services, including S3, WebDAV, and rsync, with dozens of cloud storage providers usable via plugins. Files can be stored encrypted with gpg, so that the cloud storage provider cannot see your data. git-annex keeps track of where each file is stored, so it knows how many copies are available, and has many facilities to ensure your data is preserved. . git-annex can also be used to keep a folder in sync between computers, noticing when files are changed, and automatically committing them to git and transferring them to other computers. The git-annex webapp makes it easy to set up and use git-annex this way. . This package provides a standalone bundle build of git-annex, which should be installable on any more or less recent Debian or Ubuntu release. Package: glew-utils Source: glew Version: 1.9.0-3~bnd1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 432 Depends: neurodebian-popularity-contest, libglew1.9 (= 1.9.0-3~bnd1~nd60+1), libc6 (>= 2.2.5), 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~nd60+1_amd64.deb Size: 132244 SHA256: 436c13c4448cd07f01330e0dcc93bbe954c301dce0e481c9c4d7e9fd4c32594d SHA1: 8ef99ff7453dbb4633104ced032687723ab751a1 MD5sum: ac5cf90e4f284a94542a11b10467f050 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~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 96 Depends: neurodebian-popularity-contest, make Homepage: http://gmsl.sourceforge.net/ Priority: optional Section: devel Filename: pool/main/g/gmsl/gmsl_1.1.5-1~nd60+1_all.deb Size: 16568 SHA256: d9f7b56b7c55656403ef2f532d8953698d8a5459d9806af47ed0e8450a0db06d SHA1: 11fb06b6ef93abe8a2a45dfadf4fa9c35d3b666b MD5sum: 30a3929d230ddaa683ff206563215661 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: golang-github-ncw-rclone-dev Source: rclone Version: 1.41-1~ndall0 Architecture: all Maintainer: Debian Go Packaging Team Installed-Size: 2492 Depends: golang-bazil-fuse-dev, golang-github-aws-aws-sdk-go-dev, golang-github-mreiferson-go-httpclient-dev, golang-github-ncw-go-acd-dev, golang-github-ncw-swift-dev, golang-github-pkg-errors-dev, golang-github-pkg-sftp-dev, golang-github-rfjakob-eme-dev, golang-github-skratchdot-open-golang-dev, golang-github-spf13-cobra-dev, golang-github-spf13-pflag-dev, golang-github-stacktic-dropbox-dev, golang-github-stretchr-testify-dev, golang-github-tsenart-tb-dev, golang-github-unknwon-goconfig-dev, golang-github-vividcortex-ewma-dev, golang-golang-x-crypto-dev, golang-golang-x-net-dev, golang-golang-x-oauth2-google-dev, golang-golang-x-sys-dev, golang-golang-x-text-dev, golang-google-api-dev Homepage: https://github.com/ncw/rclone Priority: optional Section: devel Filename: pool/main/r/rclone/golang-github-ncw-rclone-dev_1.41-1~ndall0_all.deb Size: 399416 SHA256: 528b53f3312375d31d5cebb95472a57272cf242e14a92cfdf99c45be2ff5511d SHA1: 75f8871fd668e815023267a857b37ad60b9d1c2f MD5sum: a87865eafe10185420838e2e4ffd7b55 Description: go source code of rclone Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers. . This package contains rclone's source code. Package: guacamole Version: 0.6.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 344 Depends: neurodebian-popularity-contest, guacd (>= 0.6), guacd (<< 0.7) Recommends: libguac-client-vnc0 Suggests: tomcat6 | jetty Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: net Filename: pool/main/g/guacamole/guacamole_0.6.0-1~nd60+1_all.deb Size: 275606 SHA256: 0c3c73bcda15707f6e644bfbd545966312a267c7c5b8526a28f9412feb497cf9 SHA1: 86bf14641701d194201b262175e13356e46d04d7 MD5sum: d5923438677f531f5c29450191e65c75 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 Version: 0.6.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: neurodebian-popularity-contest, debconf, guacamole, tomcat6, libguac-client-vnc0, debconf (>= 0.5) | debconf-2.0 Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: net Filename: pool/main/g/guacamole/guacamole-tomcat_0.6.0-1~nd60+1_all.deb Size: 5174 SHA256: aa8acc1cb1e31f859346456991551b966c472078d0c45ee108c6dba6761791ce SHA1: 9d10b5db60de10ddf46924375abea6bb2f2acf37 MD5sum: c17c7c3a2c972ad60ae57492ecde1ffe 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 Version: 0.6.0-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: neurodebian-popularity-contest, lsb-base (>= 3.0-6), libc6 (>= 2.2.5), libguac3 Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: net Filename: pool/main/g/guacd/guacd_0.6.0-1~nd60+1_amd64.deb Size: 11704 SHA256: fb5fa27dd58d654a122f81975f41da34f8e72a8f06257fec0aa18309a0cb2f6e SHA1: d920aa0744479771cd5ca7991f52f886946c076d MD5sum: e367e6b1870a8b4b93684bdf51438c20 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: impressive Version: 0.10.5-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 380 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0), python-opengl, python-pygame, python-imaging, poppler-utils | xpdf-utils (>= 3.02-2) Recommends: pdftk, perl Suggests: ghostscript, latex-beamer Conflicts: keyjnote (<< 0.10.2r-0) Replaces: keyjnote (<< 0.10.2r-0) Provides: keyjnote Homepage: http://impressive.sourceforge.net/ Priority: optional Section: x11 Filename: pool/main/i/impressive/impressive_0.10.5-1~nd60+1_all.deb Size: 163938 SHA256: 56c372c9d0c5aa5dcea9b30f9de762b10089156da74639ce668b8124c6dae580 SHA1: b3f1671e71b1e5d39c598d2039fd8a5af163cc73 MD5sum: 9e3fa46232a2eb7f6b5d46d6bbcf5989 Description: PDF presentation tool with eye candies Impressive is a program that displays presentation slides using OpenGL. Smooth alpha-blended slide transitions are provided for the sake of eye candy, but in addition to this, Impressive offers some unique tools that are really useful for presentations. Some of them are: * Overview screen * Highlight boxes * Spotlight effect * Presentation scripting and customization Package: incf-nidash-oneclick-clients Source: incf-nidash-oneclick Version: 2.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 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~nd60+1_all.deb Size: 9658 SHA256: 96ba6261aa7d1a9cf5b3ade16f2dac020c3f6fd923654ec0fded0f5c750e33ce SHA1: 17f72c212959f54ca67a2ffb1692a3515c47e9c3 MD5sum: 59cf72dfd405d12887695b03ee4c2ec8 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~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 48 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~nd60+1_all.deb Size: 14308 SHA256: a91d7d094e9d2b65f7a573bc2bf35864dee5be3ef0b9f7e3b4e038b57c04a26d SHA1: 58487823e062a71af1b1dfb68bea5f0ed4f6a09e MD5sum: 4e4ae1bdb6981efd04928e0d23a2d2cb 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: ipython01x Version: 0.13.2-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6060 Depends: neurodebian-popularity-contest, python-argparse, python-configobj, python-decorator, python-pexpect, python-simplegeneric, python2.6, python (>= 2.6.6-3+squeeze3~), python (<< 2.7) Recommends: python-tornado (>= 2.1.0~), python-pygments, python-qt4, python-zmq, python-matplotlib Suggests: ipython01x-doc, python-gobject, python-gtk2, python-numpy, python-profiler Conflicts: ipython-common, python2.3-ipython, python2.4-ipython Replaces: ipython-common, python2.3-ipython, python2.4-ipython Homepage: http://ipython.org/ Priority: optional Section: python Filename: pool/main/i/ipython01x/ipython01x_0.13.2-1~nd60+1_all.deb Size: 1286536 SHA256: 18b60234e9acfe4a167cb6ddbf6d13a2f8f7240b8b3ec7be56c83ff334d78eb4 SHA1: d4cfb72974175affef60917e0cccf85bd1976f0b MD5sum: 96d72542d5b0628275ef4d47f4196ec6 Description: enhanced interactive Python shell IPython can be used as a replacement for the standard Python shell, or it can be used as a complete working environment for scientific computing (like Matlab or Mathematica) when paired with the standard Python scientific and numerical tools. It supports dynamic object introspections, numbered input/output prompts, a macro system, session logging, session restoring, complete system shell access, verbose and colored traceback reports, auto-parentheses, auto-quoting, and is embeddable in other Python programs. . This is a non-official, custom build of IPython post 0.11 with notebooks support. It provides IPython01X module thus not conflicting with system-wide installed IPython Package: ipython01x-doc Source: ipython01x Version: 0.13.2-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 17824 Depends: neurodebian-popularity-contest, libjs-jquery, ipython01x Homepage: http://ipython.org/ Priority: optional Section: doc Filename: pool/main/i/ipython01x/ipython01x-doc_0.13.2-1~nd60+1_all.deb Size: 7088250 SHA256: fb502aaf6dbd15d62db81c28fc1bff693e10c486a488e0b76d886fcf1af9964f SHA1: 423898db0b95ae94ddb96048c617d997fe3a44ed MD5sum: dfaf5e91d4be1f07d2dd0318f0540210 Description: enhanced interactive Python shell IPython can be used as a replacement for the standard Python shell, or it can be used as a complete working environment for scientific computing (like Matlab or Mathematica) when paired with the standard Python scientific and numerical tools. It supports dynamic object introspections, numbered input/output prompts, a macro system, session logging, session restoring, complete system shell access, verbose and colored traceback reports, auto-parentheses, auto-quoting, and is embeddable in other Python programs. . This package contains the documentation. . This is a non-official, custom build of IPython post 0.11 with workbooks support. It provides IPython01X module thus not conflicting with system-wide installed IPython Package: ipython01x-notebook Source: ipython01x Version: 0.13.2-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 0 Depends: neurodebian-popularity-contest, ipython01x (>= 0.13.1~git33-gcfc5692-2~) Homepage: http://ipython.org/ Priority: extra Section: python Filename: pool/main/i/ipython01x/ipython01x-notebook_0.13.2-1~nd60+1_all.deb Size: 896 SHA256: bbc661882f4b0d66c5ef47e8a3004a398eefac5ffef37fd72a80151dbbc507f6 SHA1: 930ec1892043e0d8a6bb9fc81410f39d29367fda MD5sum: 151a56ccb253e9679d9941967cb434f8 Description: enhanced interactive Python shell -- notebook dummy package This is a dummy package depending on ipython01x which ships notebook functionality inside. It is made so to stay in line to modularization of official ipython package in Debian. There is no real good reason to install this package. Package: ipython01x-parallel Source: ipython01x Version: 0.13.2-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 0 Depends: neurodebian-popularity-contest, ipython01x (>= 0.13.1~git33-gcfc5692-2~) Homepage: http://ipython.org/ Priority: extra Section: oldlibs Filename: pool/main/i/ipython01x/ipython01x-parallel_0.13.2-1~nd60+1_all.deb Size: 826 SHA256: 819dd695bd7df7e4f4310b9cd26d00daba322776e105f999522113fff0dacdd5 SHA1: 86c57786905459f91d8e5766b2e520e1d09933c9 MD5sum: f5099bd2671d5602e7fbf072f83eae2d Description: enhanced interactive Python shell This is a transitional package and can be safely removed after the installation is complete. Package: ipython01x-qtconsole Source: ipython01x Version: 0.13.2-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 0 Depends: neurodebian-popularity-contest, ipython01x (>= 0.13.1~git33-gcfc5692-2~) Homepage: http://ipython.org/ Priority: extra Section: python Filename: pool/main/i/ipython01x/ipython01x-qtconsole_0.13.2-1~nd60+1_all.deb Size: 910 SHA256: eaaf610f600af53c8be452ec4fe65962b01811fe1c6afefef42007ca37579ee0 SHA1: 79c3e01e8f16d526cab37d77d7cc2e12b99834f3 MD5sum: 7f06ed33e2f36811525946e3851c8797 Description: enhanced interactive Python shell -- notebook dummy package This is a dummy package depending on ipython01x which ships qt console functionality inside. It is made so to stay in line to modularization of the official ipython package in Debian. There is no real good reason to install this package. Package: isis-utils Source: isis Version: 0.4.7-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 400 Depends: neurodebian-popularity-contest, libisis-core0 (= 0.4.7-1~nd60+1), libboost-date-time1.42.0 (>= 1.42.0-1), libboost-filesystem1.42.0 (>= 1.42.0-1), libboost-regex1.42.0 (>= 1.42.0-1), libboost-system1.42.0 (>= 1.42.0-1), libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libmuparser0, liboil0.3 (>= 0.3.1), libstdc++6 (>= 4.4.0) Homepage: https://github.com/isis-group Priority: extra Section: science Filename: pool/main/i/isis/isis-utils_0.4.7-1~nd60+1_amd64.deb Size: 148692 SHA256: 9817f45d457f09947640be9f6e4b383d8c826cb97ae01717d6eb21194e34cefe SHA1: 98d129fd6548c7a77517d6f2d3de0325a1d7b907 MD5sum: c5aa693e95d4782a0687f66317083d45 Description: utilities for the ISIS neuroimaging data I/O framework This framework aids access of and conversion between various established neuro-imaging data formats, like Nifti, Analyze, DICOM and VISTA. ISIS is extensible with plugins to add support for additional data formats. . This package provides a number of utilities to process neuroimaging data. This includes a multi-format converter and tools to inspect image meta data. Package: itksnap Version: 2.2.0-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 8568 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libfltk1.1 (>= 1.1.8~rc1), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libinsighttoolkit3.18, libstdc++6 (>= 4.4.0), libvtk5.4 Homepage: http://www.itksnap.org Priority: extra Section: science Filename: pool/main/i/itksnap/itksnap_2.2.0-1~nd60+1_amd64.deb Size: 3692558 SHA256: daaf2dcb7f264262674567180378f96f7cc6586ffe02a5809cdeb44e34a9af9e SHA1: 7786cf151c3457cf9d257c152a3675dbff931170 MD5sum: 3e3392b7c1e6b4e5494a50e775bbe7f3 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: kbibtex Version: 0.2.3-1~squeeze.nd1 Architecture: amd64 Maintainer: Michael Hanke Installed-Size: 2860 Depends: kdelibs4c2a (>= 4:3.5.9), libc6 (>= 2.2.5), libqt3-mt (>= 3:3.3.8b), libstdc++6 (>= 4.1.1), libxml2 (>= 2.6.27), libxslt1.1 (>= 1.1.18) Recommends: texlive-bibtex-extra Suggests: texlive-latex-base | tetex-extra, bibtex2html, latex2rtf Homepage: http://www.unix-ag.uni-kl.de/~fischer/kbibtex Priority: optional Section: kde Filename: pool/main/k/kbibtex/kbibtex_0.2.3-1~squeeze.nd1_amd64.deb Size: 816752 SHA256: 11107abe9f2082c8db25fcafeadbde31c3894bbf7bd0e480b73f2d0c8cb14064 SHA1: 865cb1a2891a1902e9f30d51a898d2971561a602 MD5sum: 41b38f4770b6e2ebeb96e77f047c1eca Description: BibTeX editor for KDE An application to manage bibliography databases in the BibTeX format. KBibTeX can be used as a standalone program, but can also be embedded into other KDE applications (e.g. as bibliography editor into Kile). . KBibTeX can query online ressources (e.g. Google scholar) via customizable search URLs. It is also able to import complete datasets from NCBI Pubmed. It also supports tagging references with keywords and manages references to local files. . BibTeX files can be exported into HTML, XML, PDF, PS and RTF format using a number of citation styles. Package: klustakwik Version: 2.0.1-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 88 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~nd60+1_amd64.deb Size: 21638 SHA256: b48d198e134daeca86ad9f70fc6b31348a4b3da083f609c24e82f2906da07180 SHA1: a4f57b71d44ee3ed113b27719733ad1e38279466 MD5sum: 1ed1ae2c4b7e2ad73a23ce13cc96e6c5 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2092 Depends: neurodebian-popularity-contest, libbiosig1 (= 1.4.1-2~nd60+1) Homepage: http://biosig.sf.net/ Priority: extra Section: libdevel Filename: pool/main/b/biosig4c++/libbiosig-dev_1.4.1-2~nd60+1_amd64.deb Size: 420646 SHA256: 2047ff8bc372dc7c80c09470f14ccc796bda845b7cf1bebf072967a58b7ff7bc SHA1: be91aa93593fa010d15c097ce7f16a0882bd4783 MD5sum: 5da9771b783e9b8922d6c3eba5dbe92e 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: libbiosig0 Source: biosig4c++ Version: 0.96.3+svn2677-3~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 884 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libcholmod1.7.1 (>= 1:3.4.0), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.2.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: libs Filename: pool/main/b/biosig4c++/libbiosig0_0.96.3+svn2677-3~nd60+1_amd64.deb Size: 311626 SHA256: 2eb5f314a562fc32da5f4c05ed33e58a8e0a2b939aca12ac2076e06dec14e3f5 SHA1: 137473b084b870623ecad3425514e8d991a9c43c MD5sum: 0a1e1d3959ad1cc6971a303edafd04c0 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: libbiosig0-dbg Source: biosig4c++ Version: 0.96.3+svn2677-3~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 220 Depends: neurodebian-popularity-contest, libbiosig0 (= 0.96.3+svn2677-3~nd60+1) Homepage: http://biosig.sf.net/ Priority: extra Section: debug Filename: pool/main/b/biosig4c++/libbiosig0-dbg_0.96.3+svn2677-3~nd60+1_amd64.deb Size: 57010 SHA256: ea68f1043f0075e18cf8447a7ecb8e5022ba2a9970fec66eb477fbd06de45808 SHA1: 3f30940f9df9d56e5d35834003e1a2ad5a17ffa0 MD5sum: d3f5ef6c8dc95c8e9812ab0e3d52e954 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: libbiosig1 Source: biosig4c++ Version: 1.4.1-2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 940 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libcholmod1.7.1 (>= 1:3.4.0), 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~nd60+1_amd64.deb Size: 336644 SHA256: bf0f62509a2ccff1e65af394aa2eb8adc6b810d85d0ce2571fddb2376f2e8be1 SHA1: a4c25b8776e467520a4943c1f1686738188cf8e7 MD5sum: e020b6ff6d919a3cc3188c0bf2bd1352 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4072 Depends: neurodebian-popularity-contest, libbiosig1 (= 1.4.1-2~nd60+1) Homepage: http://biosig.sf.net/ Priority: extra Section: debug Filename: pool/main/b/biosig4c++/libbiosig1-dbg_1.4.1-2~nd60+1_amd64.deb Size: 978206 SHA256: 469147fb3811735c03b4701c3f1f4b339270d71fde701c73b7bd4f8ee092be3a SHA1: 8a7730b516ca43388aebb62121f6510e0e975eb6 MD5sum: 51b033e4cec610aa4f1dc3b042550037 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 76 Depends: neurodebian-popularity-contest, libcgroup1 (= 0.37.1-1~nd60+1) Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: libdevel Filename: pool/main/libc/libcgroup/libcgroup-dev_0.37.1-1~nd60+1_amd64.deb Size: 17388 SHA256: 6b8470dd33d838c98b556b41c0a097a53cf157eec29b01201d96575bc0ea3e9e SHA1: 6f7c8bfdfbbe1c8d19ec187a220b101771824df5 MD5sum: 3af007b64537c5b93583b99bbecd3fc4 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 96 Depends: neurodebian-popularity-contest, libc6 (>= 2.7) Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: libs Filename: pool/main/libc/libcgroup/libcgroup1_0.37.1-1~nd60+1_amd64.deb Size: 38476 SHA256: d9820f2bd371044e77e810cc16a48b24bd88fc5b23813f991630a5ce03a4cf9f SHA1: 0e77fd1009664008093af72d768ebf7d72f11231 MD5sum: b563d105676f8ce2d07b1a89bd79383d 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: 7.8.8~dfsg.1-2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 1292 Depends: neurodebian-popularity-contest, libclassad3 (= 7.8.8~dfsg.1-2~nd60+1) Conflicts: libclassad0-dev Replaces: libclassad0-dev Homepage: http://research.cs.wisc.edu/condor Priority: extra Section: libdevel Filename: pool/main/c/condor/libclassad-dev_7.8.8~dfsg.1-2~nd60+1_amd64.deb Size: 322162 SHA256: d3325543555d17d51f77b229e3b8e389d22929c8f6473c561066bc046870e942 SHA1: afe6e0f203cd2b6eb712b4925a2ec845877a3157 MD5sum: b7e6771fcbdfc8cfb647fbeedead917a Description: Condor classads expression language - development library Classified Advertisements (classads) are the lingua franca of Condor, used for describing jobs, workstations, and other resources. There is a protocol for evaluating whether two classads match, which is used by the Condor 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: libclassad3 Source: condor Version: 7.8.8~dfsg.1-2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 588 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libpcre3 (>= 7.7), libstdc++6 (>= 4.4.0) Homepage: http://research.cs.wisc.edu/condor Priority: extra Section: science Filename: pool/main/c/condor/libclassad3_7.8.8~dfsg.1-2~nd60+1_amd64.deb Size: 229198 SHA256: b72d3421453e263fd43830ec8f404d7069fb15dcea1184de63c00c8fa9e000cd SHA1: 196194fc5a1b7a9f5fe2f669d54af4f791ff21de MD5sum: e198a06f1ecf646736c6ceb6774c5558 Description: Condor classads expression language - runtime library Classified Advertisements (classads) are the lingua franca of Condor, used for describing jobs, workstations, and other resources. There is a protocol for evaluating whether two classads match, which is used by the Condor central manager to determine the compatibility of jobs, and workstations where they may be run. . This package provides the runtime library. Package: libdmtcpaware-dev Source: dmtcp Version: 1.2.5-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: neurodebian-popularity-contest, libdmtcpaware1 (= 1.2.5-1~nd60+1) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/d/dmtcp/libdmtcpaware-dev_1.2.5-1~nd60+1_amd64.deb Size: 7102 SHA256: c9cb255b269e19f249700b290820d96d7c8d457a31982c99b12aaa249a72b1b6 SHA1: 1901a0174b0bb9c6babeb8f55247e5682496fd04 MD5sum: 54eb79d986df79d559709c166ad575fe Description: DMTCP programming interface -- developer package 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 OpenMPI, 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 provides libraries for developing applications that need to interact with dmtcp. Package: libdmtcpaware1 Source: dmtcp Version: 1.2.5-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 40 Depends: neurodebian-popularity-contest, dmtcp, libc6 (>= 2.2.5) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libs Filename: pool/main/d/dmtcp/libdmtcpaware1_1.2.5-1~nd60+1_amd64.deb Size: 7080 SHA256: 81986639994ece13ebbd1783f7360c99d343f02fe2dc9e102444faf1ff01d80c SHA1: 25eb5b2aba89be5e5a983c3233a8030777fa5054 MD5sum: dfe4bb4342eb16c7b4dd069823369fa1 Description: DMTCP programming interface 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 OpenMPI, 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 provides a programming interface to allow checkpointed applications to interact with dmtcp. Package: libdrawtk-dev Source: drawtk Version: 2.0-2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 212 Depends: neurodebian-popularity-contest, libdrawtk0 (= 2.0-2~nd60+1) Homepage: http://cnbi.epfl.ch/software/drawtk.html Priority: extra Section: libdevel Filename: pool/main/d/drawtk/libdrawtk-dev_2.0-2~nd60+1_amd64.deb Size: 43538 SHA256: 2ecdcdb2d64cf6031f68d6a46383c1ea3cd0c200f73fb3a30d422515249c4306 SHA1: 3aa419ba1d74a3910430f984a3cc0b5b93c9b6b3 MD5sum: c1a6df6d6c535d905d68da9ac08b1040 Description: Library to simple and efficient 2D drawings (development files) This package provides an C library to perform efficient 2D drawings. The drawing is done by OpenGL allowing fast and nice rendering of basic shapes, text, images and videos. It has been implemented as a thin layer that hides the complexity of the OpenGL library. . This package contains the files needed to compile and link programs which use drawtk. Package: libdrawtk0 Source: drawtk Version: 2.0-2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 92 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.2), libfontconfig1 (>= 2.8.0), libfreeimage3 (>= 3.10.0), libfreetype6 (>= 2.2.1), libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.12.0), libgstreamer-plugins-base0.10-0 (>= 0.10.23), libgstreamer0.10-0 (>= 0.10.25), libsdl1.2debian (>= 1.2.10-1) Homepage: http://cnbi.epfl.ch/software/drawtk.html Priority: extra Section: libs Filename: pool/main/d/drawtk/libdrawtk0_2.0-2~nd60+1_amd64.deb Size: 35346 SHA256: d4f6f1eec43cd49317df603d96a1e7e703d3d7ce58d761f0c2f7d5a4441558d3 SHA1: 6ac75a4baba9149ec8470b498559cd0949bc9d45 MD5sum: fe5db4577874d993fceccab4c125e1d0 Description: Library to simple and efficient 2D drawings This package provides an C library to perform efficient 2D drawings. The drawing is done by OpenGL allowing fast and nice rendering of basic shapes, text, images and videos. It has been implemented as a thin layer that hides the complexity of the OpenGL library. Package: libdrawtk0-dbg Source: drawtk Version: 2.0-2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 144 Depends: neurodebian-popularity-contest, libdrawtk0 (= 2.0-2~nd60+1) Homepage: http://cnbi.epfl.ch/software/drawtk.html Priority: extra Section: debug Filename: pool/main/d/drawtk/libdrawtk0-dbg_2.0-2~nd60+1_amd64.deb Size: 61136 SHA256: 7e9563bdf7de7429ac3e3bcc774e153c6aa447bcddf9a8d29d4b54498b0c6f7f SHA1: fb3da40aabc19b732f6c6a452635690f01946f94 MD5sum: 664332607490cf91ff193d0c3b408df1 Description: Library to simple and efficient 2D drawings (debugging symbols) This package provides an C library to perform efficient 2D drawings. The drawing is done by OpenGL allowing fast and nice rendering of basic shapes, text, images and videos. It has been implemented as a thin layer that hides the complexity of the OpenGL library. . This package provides the debugging symbols for the library. Package: libedac-dev Source: edac-utils Version: 0.18-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: neurodebian-popularity-contest, libedac1 (= 0.18-1~nd60+1) Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: libdevel Filename: pool/main/e/edac-utils/libedac-dev_0.18-1~nd60+1_amd64.deb Size: 18800 SHA256: 79489514d5dd7ea3ad9359c70de3e9f02f99035eb05c89fa2dbdceffa5b76c45 SHA1: a2e12f6b25ee705668c62a1fb23c517811bca0ec MD5sum: 59387f44fd47e3142a20a3a19f52db67 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libsysfs2 Provides: libedac Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: libs Filename: pool/main/e/edac-utils/libedac1_0.18-1~nd60+1_amd64.deb Size: 14604 SHA256: de3fe65842f0e0bfa922ec0f258b277c9fee7cf85a0136a79e51585e8252e7e6 SHA1: 351f11e4efa2fde6f0d10a65f5755c452c9224f2 MD5sum: dd0a7918be7d31d55585783310284956 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 88 Depends: neurodebian-popularity-contest, libedac1 (= 0.18-1~nd60+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~nd60+1_amd64.deb Size: 29972 SHA256: e667dad9903912e4aad078dcc20907d9b1b1dd79bc52ddfc7af8253661c3a49e SHA1: cd191052013561294ec0908f423b45c727d252ee MD5sum: 89a43b295b4a4e83be82c875d1ddd3af 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: libeegdev-dev Source: eegdev Version: 0.2-3~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 100 Depends: neurodebian-popularity-contest, libeegdev0 (= 0.2-3~nd60+1) Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: libdevel Filename: pool/main/e/eegdev/libeegdev-dev_0.2-3~nd60+1_amd64.deb Size: 22372 SHA256: 88eef640ff3965dd845ac3918ab3017371399805c7a54ba3c5e663fce660acee SHA1: a2de044bb1500f468ee1c71c5979cd7728f4d5c9 MD5sum: ab058d3b23eaa7ebd5fbad55689960c2 Description: Biosignal acquisition device library (Developement files) eegdev is a library that provides a unified interface for accessing various EEG (and other biosignals) acquisition systems. This interface has been designed to be both flexible and efficient. The device specific part is implemented by the mean of plugins which makes adding new device backend fairly easy even if the library does not support them yet officially. . The core library not only provides to users a unified and consistent interfaces to the acquisition device but it also provides many functionalities to the device backends (plugins) ranging from configuration to data casting and scaling making writing new device backend an easy task. . This library is particularly useful to handle the acquisition part of a Brain Computer Interface (BCI) or any realtime multi-electrode acquisition in neurophysiological research. . This package contains the files needed to compile and link programs which use eegdev. Its provides also the headers neeeded to develop new device plugins. The manpages and examples are shipped in this package. Package: libeegdev0 Source: eegdev Version: 0.2-3~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 212 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.2) Recommends: eegdev-plugins-free Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: libs Filename: pool/main/e/eegdev/libeegdev0_0.2-3~nd60+1_amd64.deb Size: 96564 SHA256: 96e2fbd7df26993f4aacf3fd97248df4b3f155ccd70d3382bc494fc274748baa SHA1: 4a1d24bafda36e853834a3847bac69f9f31e8305 MD5sum: c2f9fd0448c2ea783f14f3e8ac771b34 Description: Biosignal acquisition device library eegdev is a library that provides a unified interface for accessing various EEG (and other biosignals) acquisition systems. This interface has been designed to be both flexible and efficient. The device specific part is implemented by the mean of plugins which makes adding new device backend fairly easy even if the library does not support them yet officially. . The core library not only provides to users a unified and consistent interfaces to the acquisition device but it also provides many functionalities to the device backends (plugins) ranging from configuration to data casting and scaling making writing new device backend an easy task. . This library is particularly useful to handle the acquisition part of a Brain Computer Interface (BCI) or any realtime multi-electrode acquisition in neurophysiological research. . This package contains the core library Package: libeegdev0-dbg Source: eegdev Version: 0.2-3~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 64 Depends: neurodebian-popularity-contest, libeegdev0 (= 0.2-3~nd60+1) Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: debug Filename: pool/main/e/eegdev/libeegdev0-dbg_0.2-3~nd60+1_amd64.deb Size: 13482 SHA256: 9e1db210df04f7eab22beeed0ce022cf79d27b3d6d30e08b96277e99b39f875e SHA1: e03c32cb90d44772729fb69ba3777def78b3d4d8 MD5sum: c38dda5d6451168cb323b81155a74dae Description: Biosignal acquisition device library (Debugging symbols) eegdev is a library that provides a unified interface for accessing various EEG (and other biosignals) acquisition systems. This interface has been designed to be both flexible and efficient. The device specific part is implemented by the mean of plugins which makes adding new device backend fairly easy even if the library does not support them yet officially. . The core library not only provides to users a unified and consistent interfaces to the acquisition device but it also provides many functionalities to the device backends (plugins) ranging from configuration to data casting and scaling making writing new device backend an easy task. . This library is particularly useful to handle the acquisition part of a Brain Computer Interface (BCI) or any realtime multi-electrode acquisition in neurophysiological research. . This package provides the debugging symbols for the library. Package: libeigen3-dev Source: eigen3 Version: 3.0.1-1.1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3412 Depends: neurodebian-popularity-contest Suggests: libeigen3-doc Homepage: http://eigen.tuxfamily.org Priority: extra Section: libdevel Filename: pool/main/e/eigen3/libeigen3-dev_3.0.1-1.1~nd60+1_amd64.deb Size: 509858 SHA256: 4f8cc09b690f856d3a1b55a50d51e32537a62f7a87ffaf9abf6a3ece3635dad7 SHA1: edb1e5f1dc281aedec48697246e82864e0f9d2e9 MD5sum: 3fb92321dba5b19ea35e03e813d95b51 Description: lightweight C++ template library for linear algebra Eigen 3 is a lightweight C++ template library for vector and matrix math, a.k.a. linear algebra. . Unlike most other linear algebra libraries, Eigen 3 focuses on the simple mathematical needs of applications: games and other OpenGL apps, spreadsheets and other office apps, etc. Eigen 3 is dedicated to providing optimal speed with GCC. A lot of improvements since 2-nd version of Eigen. Package: libeigen3-doc Source: eigen3 Version: 3.0.1-1.1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10624 Depends: neurodebian-popularity-contest, ttf-freefont, libjs-jquery Suggests: libeigen3-dev Homepage: http://eigen.tuxfamily.org Priority: extra Section: doc Filename: pool/main/e/eigen3/libeigen3-doc_3.0.1-1.1~nd60+1_all.deb Size: 2644024 SHA256: 695a17eef4aa0e2f79eca25972103ab07407d4cf73bc007b9fb28df0786b347e SHA1: 01875672385364e3b13d603cd81d900cfc1c8c9e MD5sum: d691c4890c6c1d5aeea56244134001af Description: eigen3 API docmentation Eigen 3 is a lightweight C++ template library for vector and matrix math, a.k.a. linear algebra. . This package provides the complete eigen3 API documentation in HTML format. Package: libfreeipmi-dev Source: freeipmi Version: 1.4.9-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 10344 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd60+1), libfreeipmi16 (= 1.4.9-1~nd60+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libfreeipmi-dev_1.4.9-1~nd60+1_amd64.deb Size: 1311690 SHA256: 8ab6b51293292355e9e074a7239724e3b167beda075a087ca410e020fbb45f17 SHA1: a64c54161773e2195b7651f2947e409823e73f26 MD5sum: fdb5bafb61eca2409238dd5ed2af62d5 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: libfreeipmi12 Source: freeipmi Version: 1.1.5-3~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4624 Depends: neurodebian-popularity-contest, libc6 (>= 2.3), libgcrypt11 (>= 1.4.2), freeipmi-common (= 1.1.5-3~nd60+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libfreeipmi12_1.1.5-3~nd60+1_amd64.deb Size: 1091014 SHA256: a9a91ca56ab231c4e80209dc79f6a94c3c03a8f33344c2d7761603176a786c3b SHA1: 371507c3fb9cb0b8d8b1efae5f010d70534b2c3f MD5sum: 44edc8ca461f99b20ef4187824881ec9 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: libfreeipmi16 Source: freeipmi Version: 1.4.9-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5072 Depends: neurodebian-popularity-contest, libc6 (>= 2.3), libgcrypt11 (>= 1.4.2), freeipmi-common (= 1.4.9-1~nd60+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libfreeipmi16_1.4.9-1~nd60+1_amd64.deb Size: 1087402 SHA256: 4a61bb6f5e22d478f75cc3ebbe3bb1f2835de81e14a075b56c9676bfc4e01d18 SHA1: 696192ddf5c7b049b5768e58480d92fe66bbd617 MD5sum: 50f94f9baa07fb35450b7d0e2bf1d730 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: 1:0.1.2+dfsg-6~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 116 Depends: neurodebian-popularity-contest, freeglut3, libc6 (>= 2.3.2), libfreenect0.1 (>= 1:0.1.1), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 4.1.1) 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_0.1.2+dfsg-6~nd60+1_amd64.deb Size: 38388 SHA256: 3b45f81e5914ae75af4d5f0092b15517140afe26ec0f9e44982a0398dbe749ba SHA1: b34bead273c0d32c04a127a9b111f1ff180f805c MD5sum: bb2baeb77a277338c8faea491aa851dc 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: 1:0.1.2+dfsg-6~nd60+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_0.1.2+dfsg-6~nd60+1_amd64.deb Size: 7384 SHA256: aaba75188a44c0f9d3c22949531418c0c86e216eea30505902461e45d16bc92b SHA1: 5974dd006d4291d6242b8c335883542b9d7b001f MD5sum: 1692af10e563cfc54157e7040abc2334 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: 1:0.1.2+dfsg-6~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 60 Depends: neurodebian-popularity-contest, libfreenect0.1 (= 1:0.1.2+dfsg-6~nd60+1) Homepage: http://openkinect.org/ Priority: extra Section: libdevel Filename: pool/main/libf/libfreenect/libfreenect-dev_0.1.2+dfsg-6~nd60+1_amd64.deb Size: 17414 SHA256: 32bf4aa775bf8a2ef81780238f3f23075052d1f476b51bd61b98a10028e74d68 SHA1: 8112f36d612ce338e8e62b07203a4ba801bceac8 MD5sum: 7770937cba1afee1ec923c9f727372fc 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: 1:0.1.2+dfsg-6~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 576 Depends: neurodebian-popularity-contest Homepage: http://openkinect.org/ Priority: extra Section: doc Filename: pool/main/libf/libfreenect/libfreenect-doc_0.1.2+dfsg-6~nd60+1_all.deb Size: 88002 SHA256: 7ce4f9208a48ceda67a4206c930d4ef92f12c201f170cd2a2b673ee9bbf8f4c4 SHA1: 7f22cbd72ef2c8d52d0fece584df480966cda29a MD5sum: 00d4f8e36368a75d47c688a18db44f82 Description: library for accessing Kinect device -- documentation libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package contains the documentation of the API of libfreenect. Package: libfreenect0.1 Source: libfreenect Version: 1:0.1.2+dfsg-6~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 120 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libusb-1.0-0 (>= 2:1.0.8) Conflicts: libfreenect Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/libfreenect0.1_0.1.2+dfsg-6~nd60+1_amd64.deb Size: 36746 SHA256: f44900da91cf6f0b4c4776631c8d88ba77de710997f80e59405424e5fb8196d3 SHA1: 5a59454bdb2384bd136a6ca8fb6291a73c9b8c30 MD5sum: 53dd666ae82bd80f060ca21be277ae94 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 144 Depends: neurodebian-popularity-contest, libgdf0 (= 0.1.2-2~nd60+1) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: libdevel Filename: pool/main/libg/libgdf/libgdf-dev_0.1.2-2~nd60+1_amd64.deb Size: 19752 SHA256: 6f1efab0470dbbaa2036ad60c1b21abc960f9d3dad571e9669ffe32ab8df58fc SHA1: 0cb4cd2b010401437356207aa760c1004b0ff7de MD5sum: 301094fcd3c14cab98a77c8dd2c100fa 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 340 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.4.0) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: libs Filename: pool/main/libg/libgdf/libgdf0_0.1.2-2~nd60+1_amd64.deb Size: 107328 SHA256: 25d6bff43d23a54d7db19a1a8e5d0b4d455db802c2043db6fbc5f9c17cafed1a SHA1: 92bacb8aab3bcb7220a3b8db4331a724d2098824 MD5sum: 1be1317643d6b174e1fa435b97e1b8c3 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4168 Depends: neurodebian-popularity-contest, libgdf0 (= 0.1.2-2~nd60+1) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: debug Filename: pool/main/libg/libgdf/libgdf0-dbg_0.1.2-2~nd60+1_amd64.deb Size: 1134694 SHA256: 699fd9504b5470cfc51fee608d7abb378915f66af8256de36652e9a0d157b633 SHA1: b3d2fe46bbb0bb1a86ca278430855db9279b53d0 MD5sum: 7cd76cce4e62e799cb4864f493784954 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: libgiftiio-dev Source: gifticlib Version: 1.0.9-1~squeeze.nd1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 256 Depends: libgiftiio0 (= 1.0.9-1~squeeze.nd1) Homepage: http://www.nitrc.org/projects/gifti Priority: optional Section: libdevel Filename: pool/main/g/gifticlib/libgiftiio-dev_1.0.9-1~squeeze.nd1_amd64.deb Size: 65262 SHA256: a76723f3ffd3d00117217c6296ac9212cb34d597b9feafb51a48b6f481fb2a83 SHA1: 67ac21a682e867a0fa2e87b2017d8223af1df075 MD5sum: 5483d94d7b3cceb80b5e86d3133b580b Description: IO library for the GIFTI cortical surface data format GIFTI is an XML-based file format for cortical surface data. This reference IO implementation is developed by the Neuroimaging Informatics Technology Initiative (NIfTI). . This package provides the header files and static library. Package: libgiftiio0 Source: gifticlib Version: 1.0.9-1~squeeze.nd1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 176 Depends: libc6 (>= 2.3), libexpat1 (>= 1.95.8), libnifti2, zlib1g (>= 1:1.1.4) Homepage: http://www.nitrc.org/projects/gifti Priority: optional Section: libs Filename: pool/main/g/gifticlib/libgiftiio0_1.0.9-1~squeeze.nd1_amd64.deb Size: 57476 SHA256: 9177c604d183cfcca0c12cc172a865791417f4732a5503b2cc3833216524b897 SHA1: 68edb77db9badcca0b34dd203367d6ffa0c58c99 MD5sum: 3af42d32e40221ff48f8f7f5a55c4ad8 Description: IO library for the GIFTI cortical surface data format GIFTI is an XML-based file format for cortical surface data. This reference IO implementation is developed by the Neuroimaging Informatics Technology Initiative (NIfTI). . This package contains the shared library. Package: libglew1.6 Source: glew Version: 1.6.0-2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 440 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libx11-6, libxext6, libxi6, libxmu6 Suggests: glew-utils Conflicts: libglew1 Homepage: http://glew.sourceforge.net/ Priority: optional Section: libs Filename: pool/main/g/glew/libglew1.6_1.6.0-2~nd60+1_amd64.deb Size: 120544 SHA256: aa99944a2bfdaa0a85d0212e923f7d91c36c46c3c906149248cd21638a8f253c SHA1: f324e6f0c6b5152df25db8b3f45c4aed21bb39ca MD5sum: 17ab76eff46b131294ff3dcda1a2a1e2 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: libglew1.6-dev Source: glew Version: 1.6.0-2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1492 Depends: neurodebian-popularity-contest, libglew1.6 (= 1.6.0-2~nd60+1), libgl1-mesa-dev | libgl-dev, libglu1-mesa-dev | libglu-dev Conflicts: libglew-dev, libglew1.5-dev Provides: libglew-dev, libglew1.5-dev Homepage: http://glew.sourceforge.net/ Priority: optional Section: libdevel Filename: pool/main/g/glew/libglew1.6-dev_1.6.0-2~nd60+1_amd64.deb Size: 238404 SHA256: 231e339678394586a3022a9887736790766558debac8e64aab6d4baa248c2d22 SHA1: db414019e6a25a1741d9cfcb9bdc74dd544784ab MD5sum: d66f69cebc2b5f3013020b82097f5a75 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[1]. . This package contains the development documentation as well as the required header files. Package: libglew1.9 Source: glew Version: 1.9.0-3~bnd1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 580 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~nd60+1_amd64.deb Size: 145226 SHA256: 88503a6728cd9b59a405bd597bdf021c7671755a6463d0d4017795df2562cfcc SHA1: 7bf77200d4ab7035dd1206f983b4666be8d4fde0 MD5sum: 2bedf38a0eb8016e67091947cc9c43e3 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 156 Depends: neurodebian-popularity-contest, libglew1.9 (= 1.9.0-3~bnd1~nd60+1) Homepage: http://glew.sourceforge.net Priority: extra Section: debug Filename: pool/main/g/glew/libglew1.9-dbg_1.9.0-3~bnd1~nd60+1_amd64.deb Size: 40984 SHA256: 3dbff5ef2a94f72676ac53f57b1d6e177792ab3160ddce427aa26d413d2c2f22 SHA1: 6777ac322cb119ff47e4cd5706ba0b2185b2e020 MD5sum: 57fe29e157f27e1145fe4f91551bd76e 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1012 Depends: neurodebian-popularity-contest, libgl1-mesa-dev | libgl-dev, libglew1.9 (= 1.9.0-3~bnd1~nd60+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~nd60+1_amd64.deb Size: 153206 SHA256: f93c1836a66d91f9d4cef26f106bf42e7851b99b7ec61971eba7d357f882c3fd SHA1: 5f8ef314b6fcaa747e827821005cdc14e9bf6cea MD5sum: 4e20df4c788ab557d5593ddfa2509d60 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: libglewmx1.6 Source: glew Version: 1.6.0-2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 392 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libx11-6, libxext6, libxi6, libxmu6 Conflicts: libglew1 Homepage: http://glew.sourceforge.net/ Priority: optional Section: libs Filename: pool/main/g/glew/libglewmx1.6_1.6.0-2~nd60+1_amd64.deb Size: 106980 SHA256: 84385043cd8d7812fea0d0e4cb4eb7447635b4088ec059e2c0b09809c61b24b5 SHA1: 66f83b08edbc61141f76b8b7459dccbe4a759e03 MD5sum: 7fcaf2db00dcac1c383c60c26a53c71d 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, built with GLEW_MX option, adding support for thread-safe usage of multiple rendering contexts. Package: libglewmx1.6-dev Source: glew Version: 1.6.0-2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 512 Depends: neurodebian-popularity-contest, libglew-dev, libglewmx1.6 (= 1.6.0-2~nd60+1) Conflicts: libglewmx-dev, libglewmx1.5-dev Provides: libglewmx-dev, libglewmx1.5-dev Homepage: http://glew.sourceforge.net/ Priority: optional Section: libdevel Filename: pool/main/g/glew/libglewmx1.6-dev_1.6.0-2~nd60+1_amd64.deb Size: 96682 SHA256: 8fef6e9628c8586e9a78d9edd6b4926b852f704972ec41e249aa53b497a6d5f9 SHA1: babae598273395f09568695c70b9cf9023cedb31 MD5sum: 6ae372a742f72c0034074561a08ddf67 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[1]. . This package contains the development libraries compiled with GLEW_MX Package: libglewmx1.9 Source: glew Version: 1.9.0-3~bnd1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 508 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~nd60+1_amd64.deb Size: 126032 SHA256: 4bf6df176013d209854ff316e81382c9f960f22c92ef1e77fd4189214498ebb6 SHA1: 3811881653f8cb1e9d68fc18cfbe43f8b49f8064 MD5sum: ebcdffc838ba4952b88bbd8249290fee 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 128 Depends: neurodebian-popularity-contest, libglewmx1.9 (= 1.9.0-3~bnd1~nd60+1) Homepage: http://glew.sourceforge.net Priority: extra Section: debug Filename: pool/main/g/glew/libglewmx1.9-dbg_1.9.0-3~bnd1~nd60+1_amd64.deb Size: 33036 SHA256: b95c16dd004385100a7de7a1dd32f3dc78b50721d55a9178f4387f94a7a7a8f9 SHA1: b36a94eb63fbb5fd34f713d6e103519eda53090c MD5sum: a904da8683d5598a3e5b6034eed77920 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 20 Depends: neurodebian-popularity-contest, libglew1.9-dev, libglewmx1.9 (= 1.9.0-3~bnd1~nd60+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~nd60+1_amd64.deb Size: 8802 SHA256: 0163b7b755b1ddb3c5a8338e8dcc6dd5261e19fd1ccd805a61a5440ea0491ae4 SHA1: 734e4555fe172be68a6d0e7280cbf42184251cbb MD5sum: 6532c34bdf595983a613e1198a8a2fbd 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-vnc0 Source: libguac-client-vnc Version: 0.6.0-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 60 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libcairo2 (>= 1.6.0), libguac3, libvncserver0 Recommends: vnc4server Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: libs Filename: pool/main/libg/libguac-client-vnc/libguac-client-vnc0_0.6.0-1~nd60+1_amd64.deb Size: 11208 SHA256: a0d69a0aff684352cb84db55c6a00817731e3429b07a393c4e911f2939550631 SHA1: a7f21908033b709e033176e8ac18d5cdac1eab29 MD5sum: dc7a3907a7a0894b03673f12ba1a157f Description: VNC client plugin for Guacamole A plugin for the Guacamole proxy daemon (guacd) that provides support for the VNC protocol. Package: libguac-dev Source: libguac Version: 0.6.0-2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 152 Depends: neurodebian-popularity-contest, libguac3 (= 0.6.0-2~nd60+1) Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: libdevel Filename: pool/main/libg/libguac/libguac-dev_0.6.0-2~nd60+1_amd64.deb Size: 28860 SHA256: 1313624381bcb3613e6b44e7d1aa65310902d5374908160b23f3a4a75a694c4e SHA1: 5f54477dcbd1f46249f53617804628b9a936bac4 MD5sum: 2038c14c006a0815336cdec7c6ee72d9 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 64 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), 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~nd60+1_amd64.deb Size: 18580 SHA256: 43dbefaaac0057900b9486483121399109ca7cc42071155258c8742fc8185bf2 SHA1: 0ad336fa2e93daf186d50490c6b2b96b9e6c2b7a MD5sum: fb6b85cf755c0fa2647bf1c50b661b7d Description: Core Guacamole library used by guacd and client plugins The core Guacamole library which both guacd and client plugins depend on to provide low-level I/O and protocol support. Package: libipmiconsole-dev Source: freeipmi Version: 1.4.9-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 564 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd60+1), libipmiconsole2 (= 1.4.9-1~nd60+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmiconsole-dev_1.4.9-1~nd60+1_amd64.deb Size: 130560 SHA256: fd1e1b2e036f228bd42e8588a66d27d7c715ed91ae14f6a81c522bff1f001b46 SHA1: 7ae3057a60e3d1d2611984a9d30c4fb92436932b MD5sum: 508fa47466d7d5aa356138c1a0d60b8b 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 252 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.2), libfreeipmi16 (>= 1.4.4), libgcrypt11 (>= 1.4.2), freeipmi-common (= 1.4.9-1~nd60+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmiconsole2_1.4.9-1~nd60+1_amd64.deb Size: 98404 SHA256: 1b4c11c150588690d0170a0b688d5e40111b92f92b254d5d163f242837af0475 SHA1: 9040cc5b643e00cb90a31d174c959fad3a84581a MD5sum: 556c3bef1daf39224c4e74ba859f9665 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 148 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd60+1), libipmidetect0 (= 1.4.9-1~nd60+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmidetect-dev_1.4.9-1~nd60+1_amd64.deb Size: 36406 SHA256: 39cf5720bee78dffcd5dc129375697b54acf79da2a289e89c3dbb78d1c5912ad SHA1: 75f468ec32cd7c05742593fa68cbd69522c169c2 MD5sum: 280373398ed45d15c2e8c84f7cad5e42 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 72 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), freeipmi-common (= 1.4.9-1~nd60+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmidetect0_1.4.9-1~nd60+1_amd64.deb Size: 27816 SHA256: 1ff11bdfe5566cac00eef4af51e6f06f20bf8d211b5ad13a65f1b6ad9ca9db84 SHA1: c456456af5c5c7700b608940cbc0c0e6574f9b71 MD5sum: 4a458d2501bae346bf7cee49020ae405 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 384 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd60+1), libipmimonitoring5a (= 1.4.9-1~nd60+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmimonitoring-dev_1.4.9-1~nd60+1_amd64.deb Size: 76352 SHA256: 66fe4cf5bdcb625007f6ef8170f219b70175e09f67b44b6791bc69e62c977c29 SHA1: 21d9c5a064b65a0096ca170e92d83b7a363c151b MD5sum: 870e0fb88eef7cd63ca4a9015bac5e7f 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: libipmimonitoring5 Source: freeipmi Version: 1.1.5-3~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 288 Depends: neurodebian-popularity-contest, libc6 (>= 2.3), libfreeipmi12 (>= 1.1.5), libgcrypt11 (>= 1.4.2) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmimonitoring5_1.1.5-3~nd60+1_amd64.deb Size: 187124 SHA256: b0a2e726060d4028f076b403409529df0da9909cd61920db35c57d228a2ebb15 SHA1: 184dabab38a9f6c298b4253d3cf0e7b2e8ac0039 MD5sum: 3e4a0db69ec8c3c7c5e3a5346df0d63a 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: libipmimonitoring5a Source: freeipmi Version: 1.4.9-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 136 Depends: neurodebian-popularity-contest, libc6 (>= 2.3), libfreeipmi16 (>= 1.4.4), libgcrypt11 (>= 1.4.2), freeipmi-common (= 1.4.9-1~nd60+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmimonitoring5a_1.4.9-1~nd60+1_amd64.deb Size: 48816 SHA256: 114380065288fed891b7c61d7fb03e838408d84843b0d3396a2d77fc16a98a44 SHA1: a47e098b26144aeaec5ff838375a0226a20bbb69 MD5sum: 1444330c874f28a2b4bbcb7c89af7631 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: libisis-core-dev Source: isis Version: 0.4.7-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 344 Depends: neurodebian-popularity-contest, libisis-core0 (>= 0.4.7-1~nd60+1), libisis-core0 (<< 0.4.7-1~nd60+1.1~) Homepage: https://github.com/isis-group Priority: extra Section: libdevel Filename: pool/main/i/isis/libisis-core-dev_0.4.7-1~nd60+1_all.deb Size: 68980 SHA256: fe9df025e015264884a7553966d5d637d0be183acca87cba3bc7a4e66bbe5140 SHA1: 74106e21c7e4c06e29fe095ad5fc661e9629ede3 MD5sum: 7f0a04ccd10d5bfcef4f3b1586283416 Description: I/O framework for neuroimaging data This framework aids access of and conversion between various established neuro-imaging data formats, like Nifti, Analyze, DICOM and VISTA. ISIS is extensible with plugins to add support for additional data formats. . This package provides headers and library to develop applications with ISIS. Package: libisis-core0 Source: isis Version: 0.4.7-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5060 Depends: neurodebian-popularity-contest, libboost-date-time1.42.0 (>= 1.42.0-1), libboost-filesystem1.42.0 (>= 1.42.0-1), libboost-regex1.42.0 (>= 1.42.0-1), libboost-system1.42.0 (>= 1.42.0-1), libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), liboil0.3 (>= 0.3.10), libstdc++6 (>= 4.4.0) Recommends: libisis-ioplugins-common, libisis-ioplugins-dicom Homepage: https://github.com/isis-group Priority: extra Section: libs Filename: pool/main/i/isis/libisis-core0_0.4.7-1~nd60+1_amd64.deb Size: 1146404 SHA256: a1beef1ec03a0027a5f8c82041468d394f8f6a636c62f6815a022ccbe8abb33a SHA1: 0696300b4a41e4e569d9e2ddac325ba10b78a479 MD5sum: 1b84be14bb2290bfac3756b7d962183c Description: I/O framework for neuroimaging data This framework aids access of and conversion between various established neuro-imaging data formats, like Nifti, Analyze, DICOM and VISTA. ISIS is extensible with plugins to add support for additional data formats. . This Package provides the core library needed by all applications that are build upon ISIS. Package: libisis-ioplugins-common Source: isis Version: 0.4.7-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2504 Depends: neurodebian-popularity-contest, libisis-core0 (= 0.4.7-1~nd60+1), libboost-date-time1.42.0 (>= 1.42.0-1), libboost-filesystem1.42.0 (>= 1.42.0-1), libboost-iostreams1.42.0 (>= 1.42.0-1), libboost-regex1.42.0 (>= 1.42.0-1), libboost-system1.42.0 (>= 1.42.0-1), libbz2-1.0, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), liboil0.3 (>= 0.3.1), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.4.0), libvia2, zlib1g (>= 1:1.1.4) Homepage: https://github.com/isis-group Priority: extra Section: libs Filename: pool/main/i/isis/libisis-ioplugins-common_0.4.7-1~nd60+1_amd64.deb Size: 803834 SHA256: 0f2aadb74bca9873ffed886d8d5ade774b8db6e5c547c878bcb2c2bb88a2ec00 SHA1: cc86a277ecabfc4ecaca7002aad8206f3c39f6f6 MD5sum: 097dbdd99e11d83a1fb41093c6794ce3 Description: data format plugins for the ISIS framework This framework aids access of and conversion between various established neuro-imaging data formats, like Nifti, Analyze, DICOM and VISTA. ISIS is extensible with plugins to add support for additional data formats. . This package provides plugins for data in NIfTI, PNG, VISTA format, raw-data access, as well as plugins for gzip-compression and tar-archive support. Package: libisis-ioplugins-dicom Source: isis Version: 0.4.7-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 692 Depends: neurodebian-popularity-contest, libisis-core0 (= 0.4.7-1~nd60+1), dcmtk, libboost-date-time1.42.0 (>= 1.42.0-1), libboost-filesystem1.42.0 (>= 1.42.0-1), libboost-regex1.42.0 (>= 1.42.0-1), libboost-system1.42.0 (>= 1.42.0-1), libc6 (>= 2.2.5), libdcmtk1 (>= 3.5.4), libgcc1 (>= 1:4.1.1), liboil0.3 (>= 0.3.1), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.4.0), libtiff4, zlib1g (>= 1:1.1.4) Homepage: https://github.com/isis-group Priority: extra Section: science Filename: pool/main/i/isis/libisis-ioplugins-dicom_0.4.7-1~nd60+1_amd64.deb Size: 222014 SHA256: 8c05dbca276d4824b82f67efded2aac7e073ece5bf9c3ffbb359418914139de1 SHA1: 8e7b17a0aeb31a51dc170db7fa4340a6a6fa870c MD5sum: 40f1f307379d7a6605bfb7f7bcdd6c9f Description: dicom io plugin for the ISIS framework This framework aids access of and conversion between various established neuro-imaging data formats, like Nifti, Analyze, DICOM and VISTA. ISIS is extensible with plugins to add support for additional data formats. . This package provides a plugin to read data from dicom datasets. It reads single files, or whole directories (a DICOMDIR is not needed). Package: libisis-qt4-0 Source: isis Version: 0.4.7-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 88 Depends: neurodebian-popularity-contest, libisis-core0 (= 0.4.7-1~nd60+1), libboost-date-time1.42.0 (>= 1.42.0-1), libboost-filesystem1.42.0 (>= 1.42.0-1), libboost-regex1.42.0 (>= 1.42.0-1), libboost-system1.42.0 (>= 1.42.0-1), libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), liboil0.3 (>= 0.3.1), libqtcore4 (>= 4:4.5.3), libqtgui4 (>= 4:4.5.3), libstdc++6 (>= 4.1.1) Conflicts: isis-qt4 Replaces: isis-qt4 Homepage: https://github.com/isis-group Priority: extra Section: libs Filename: pool/main/i/isis/libisis-qt4-0_0.4.7-1~nd60+1_amd64.deb Size: 24588 SHA256: bb30d6e254c74d2e0565cb269829adda8008a3c74bd9432c06a67875c16c5f9d SHA1: 0299194efc9ff6d4e18a91b4703318d7314ce064 MD5sum: 7eb9e6b8c886c2e53487d155e723e3b2 Description: Qt4 bindings for ISIS data I/O framework This framework aids access of and conversion between various established neuro-imaging data formats, like Nifti, Analyze, DICOM and VISTA. ISIS is extensible with plugins to add support for additional data formats. Package: libisis-qt4-dev Source: isis Version: 0.4.7-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16 Depends: neurodebian-popularity-contest, libisis-qt4-0 (>= 0.4.7-1~nd60+1), libisis-qt4-0 (<< 0.4.7-1~nd60+1.1~), libqt4-dev Conflicts: isis-qt4-dev Homepage: https://github.com/isis-group Priority: extra Section: libdevel Filename: pool/main/i/isis/libisis-qt4-dev_0.4.7-1~nd60+1_all.deb Size: 6022 SHA256: 28e4b5db7773d9fd49e11fc68a958d37734279347da6098e99abb6c6b42e0c91 SHA1: d2680f40e063f20bd0b9a2fe8e15eea731b34237 MD5sum: bd0cf86c411a305c1064b4e84e358b08 Description: Qt4 bindings for ISIS data I/O framework (development headers) This framework aids access of and conversion between various established neuro-imaging data formats, like Nifti, Analyze, DICOM and VISTA. ISIS is extensible with plugins to add support for additional data formats. Package: libjs-underscore Source: underscore Version: 1.1.6-1+deb7u1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest Recommends: javascript-common, libjs-jquery Homepage: http://documentcloud.github.com/underscore/ Priority: optional Section: web Filename: pool/main/u/underscore/libjs-underscore_1.1.6-1+deb7u1~nd60+1_all.deb Size: 30984 SHA256: 97aa150c46cdcd3c76f1fbd9b3849d7aa1a61c4eb2abe85845a178cacc63dbe4 SHA1: 560469f6b586a5065bfbcd756d68169d132fca3e MD5sum: 5d98a3346511cb995b090559ac026352 Description: JavaScript's functional programming helper library Underscore is a utility-belt library for JavaScript that provides a lot of the functional programming support that you would expect in Prototype.js (or Ruby), but without extending any of the built-in JavaScript objects. It's the tie to go along with jQuery's tux. . Underscore provides 60-odd functions that support both the usual functional suspects: map, select, invoke - as well as more specialized helpers: function binding, javascript templating, deep equality testing, and so on. It delegates to built-in functions, if present, so modern browsers will use the native implementations of forEach, map, reduce, filter, every, some and indexOf. Package: libmcpanel-dev Source: mcpanel Version: 0.0-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4 Depends: neurodebian-popularity-contest, libmcpanel0 (= 0.0-1~nd60+1) Homepage: http://cnbi.epfl.ch/software/mcpanel.html Priority: extra Section: libdevel Filename: pool/main/m/mcpanel/libmcpanel-dev_0.0-1~nd60+1_amd64.deb Size: 2394 SHA256: deeaea6c4a11e717c2719e05469daa31d67d0c424987fc8dc9ce5a28b19e2ddb SHA1: 3a6f18a4203e0f3b8daa73a21b41fa7610628510 MD5sum: 63e593cb0c962715160220b8763c7738 Description: Library to display multichannel data in realtime (Developement files) This package provides a library written in C implementing a set of widgets designed to view in realtime multichannels signals. Despite it has been initially design to view signals coming from a BIOSEMI Activetwo EEG system, it is totally system agnostic and any user of other system might find it useful. . This package contains the files needed to compile and link programs which use mcpanel Package: libmcpanel0 Source: mcpanel Version: 0.0-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 188 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libglib2.0-0 (>= 2.14.0), libgtk2.0-0 (>= 2.14.0), libpango1.0-0 (>= 1.14.0), librtfilter1 (>= 1.0) Homepage: http://cnbi.epfl.ch/software/mcpanel.html Priority: extra Section: libs Filename: pool/main/m/mcpanel/libmcpanel0_0.0-1~nd60+1_amd64.deb Size: 53760 SHA256: bbceb06e3b222d4580450d25fe5bcb26f09c14842e58e0236e406569ab544bf3 SHA1: 9199e35b1920cb6028058e362ec49fda10af3ad2 MD5sum: addc15bf27949f3a7b604ff8bcc2af5e Description: Library to display multichannel data in realtime This package provides a library written in C implementing a set of widgets designed to view in realtime multichannels signals. Despite it has been initially design to view signals coming from a BIOSEMI Activetwo EEG system, it is totally system agnostic and any user of other system might find it useful. Package: libmcpanel0-dbg Source: mcpanel Version: 0.0-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 300 Depends: neurodebian-popularity-contest, libmcpanel0 (= 0.0-1~nd60+1) Homepage: http://cnbi.epfl.ch/software/mcpanel.html Priority: extra Section: debug Filename: pool/main/m/mcpanel/libmcpanel0-dbg_0.0-1~nd60+1_amd64.deb Size: 125450 SHA256: 0375944629a42128c257d0f9372784237c2e211786e6eca95d183bb51fe29ebb SHA1: c4c735937c3c8ca41d82a3c859753b6a3d963738 MD5sum: d27e8eafa65648960a6b3f789eefc7d3 Description: Library to display multichannel data in realtime (Debugging symbols) This package provides a library written in C implementing a set of widgets designed to view in realtime multichannels signals. Despite it has been initially design to view signals coming from a BIOSEMI Activetwo EEG system, it is totally system agnostic and any user of other system might find it useful. . This package contains the debugging information of the library. Package: libmtcp-dev Source: dmtcp Version: 1.2.5-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 16 Depends: neurodebian-popularity-contest, libmtcp1 (= 1.2.5-1~nd60+1) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/d/dmtcp/libmtcp-dev_1.2.5-1~nd60+1_amd64.deb Size: 5558 SHA256: 0a54b7a7ed321f58d79b0d787f4ef27f6777b4e5802acd3fb9460ad665b8838e SHA1: 9180f2f7894112008a554543f20103f3e82d12be MD5sum: 2302ab978981d597ae71524b3f9ddfb2 Description: Developer package for libmtcp 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 OpenMPI, 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 provides header files needed for building programs with libmtcp. Package: libmtcp1 Source: dmtcp Version: 1.2.5-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 124 Depends: neurodebian-popularity-contest, libc6 (>= 2.4) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libs Filename: pool/main/d/dmtcp/libmtcp1_1.2.5-1~nd60+1_amd64.deb Size: 42586 SHA256: fc2b585e8c3142bee0e1b213e44acf4293be8502f418c0e821a319358dfffe9a SHA1: 98301d547e6684a8b2eaf16aff9c10e1b664569c MD5sum: bd329518642413100855779060f3dbfe Description: DMTCP library needed for checkpointing a standalone process 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 OpenMPI, 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 provides libmtcp which is needed by DMTCP to checkpoint a single standalone process. Package: libnifti-dev Source: nifticlib Version: 2.0.0-1~squeeze.nd1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 620 Depends: libnifti2 (= 2.0.0-1~squeeze.nd1) 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_2.0.0-1~squeeze.nd1_amd64.deb Size: 171078 SHA256: 606c5b60cea6a9d184501cea87b55e9276b8c018fd81ce151ab891ecdeee1ab5 SHA1: 756547a678e5e0d744325529bbd3f41085728547 MD5sum: b324df0f6b88a8eb53a2354f92aeb3a9 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: 2.0.0-1~squeeze.nd1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1896 Homepage: http://niftilib.sourceforge.net Priority: optional Section: doc Filename: pool/main/n/nifticlib/libnifti-doc_2.0.0-1~squeeze.nd1_all.deb Size: 245414 SHA256: c421052431a49808544394d7242ddbd0437c09c001e9936fa302d29b653603d6 SHA1: 16d20e3475e20aaf39aa4df9231cb5117421d33d MD5sum: 1de8bde7f67f9fd2b7f2571ba0212457 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: 2.0.0-1~squeeze.nd1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 332 Depends: libc6 (>= 2.7), zlib1g (>= 1:1.1.4) Homepage: http://niftilib.sourceforge.net Priority: optional Section: libs Filename: pool/main/n/nifticlib/libnifti2_2.0.0-1~squeeze.nd1_amd64.deb Size: 122310 SHA256: 64c18d6b2d42039e97c6b2c6157941c416bc3d49c9a71505b8009fdce45c0689 SHA1: 13dff3f1be4bc415cb6a34b73912629e30010344 MD5sum: 1c318229155fea0a86b5302d571456a0 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: libodin-dev Source: odin Version: 1.8.1-3~squeeze.nd1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 21016 Homepage: http://od1n.sourceforge.net Priority: extra Section: libdevel Filename: pool/main/o/odin/libodin-dev_1.8.1-3~squeeze.nd1_amd64.deb Size: 4196634 SHA256: 2f2b4f24bd5d56c425d1a8d4cfcc7ece0afd575349423891c8bc1f921473ba73 SHA1: dda48dc2ecc2dc76f0cd12b9dc6a751c03fb1967 MD5sum: 51291b7c5d674095d84de8c1833ef7e8 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: libopenmeeg-dev Source: openmeeg Version: 2.0.0.dfsg-4~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 248 Depends: neurodebian-popularity-contest Homepage: http://www-sop.inria.fr/odyssee/software/OpenMEEG/ Priority: extra Section: libdevel Filename: pool/main/o/openmeeg/libopenmeeg-dev_2.0.0.dfsg-4~nd60+1_amd64.deb Size: 42566 SHA256: fe0b78c6f5a211c05956e95d3b6fd829a656e02d39920303f8c93e4c7fac8ace SHA1: 71e21b9ed1388656826bd38bf29ea6430825a6e9 MD5sum: e0a6e0e20887b2ef3a53e14096fe10f8 Description: openmeeg library -- development files OpenMEEG consists of state-of-the art solvers for forward problems in the field of MEG and EEG. Solvers are based on the symmetric Boundary Element method [Kybic et al, 2005], providing excellent accuracy, particularly for superficial cortical sources. OpenMEEG can compute four types of lead fields (EEG, MEG, Internal Potential and Electrical Impedence Tomography). . This package provides static libraries and header files. Package: libopenmeeg1 Source: openmeeg Version: 2.0.0.dfsg-4~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 920 Depends: neurodebian-popularity-contest, libatlas3gf-base, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libmatio0, libstdc++6 (>= 4.4.0) Homepage: http://www-sop.inria.fr/odyssee/software/OpenMEEG/ Priority: extra Section: science Filename: pool/main/o/openmeeg/libopenmeeg1_2.0.0.dfsg-4~nd60+1_amd64.deb Size: 252008 SHA256: 5e543eeb639ba5eaf5f9d9dea1222f2e57c1487fdc681dd97b7d7aba3371e33d SHA1: 78fe64d0f6331353c5dc19662d5573a8f58c3a22 MD5sum: aee18449f2e6d09c6f87efa5a17eb91e Description: library for solving EEG and MEG forward and inverse problems OpenMEEG consists of state-of-the art solvers for forward problems in the field of MEG and EEG. Solvers are based on the symmetric Boundary Element method [Kybic et al, 2005], providing excellent accuracy, particularly for superficial cortical sources. OpenMEEG can compute four types of lead fields (EEG, MEG, Internal Potential and Electrical Impedence Tomography). . This package provides dynamic libraries. Package: libopenwalnut1 Source: openwalnut Version: 1.2.5-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5324 Depends: neurodebian-popularity-contest, ttf-liberation (>= 1.0.0), libboost-date-time1.42.0 (>= 1.42.0-1), libboost-filesystem1.42.0 (>= 1.42.0-1), libboost-regex1.42.0 (>= 1.42.0-1), libboost-signals1.42.0 (>= 1.42.0-1), libboost-system1.42.0 (>= 1.42.0-1), libboost-thread1.42.0 (>= 1.42.0-1), libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libopenscenegraph65 (>= 2.8.3), libstdc++6 (>= 4.4.0) Suggests: nvidia-glx | fglrx-glx Homepage: http://www.openwalnut.org Priority: extra Section: libs Filename: pool/main/o/openwalnut/libopenwalnut1_1.2.5-1~nd60+1_amd64.deb Size: 1652168 SHA256: 2def1845ed45d727b8de4eb99f7b640bbf7b335293dff03a88381b034552a6ea SHA1: 5a4342f3e69d330e2435512e3fe657d3f5b4a295 MD5sum: 0c2ea06b07c9270fd0d3208d217d0dbf Description: Multi-modal medical and brain data visualization tool. 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: 1.2.5-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2092 Depends: neurodebian-popularity-contest, libopenwalnut1 (= 1.2.5-1~nd60+1), libgl1-mesa-dev | libgl-dev, libopenscenegraph-dev (>= 2.8.1), libopenthreads-dev (>= 2.8.1), libboost-dev (>= 1.42.0), libboost-program-options-dev (>= 1.42.0), libboost-thread-dev (>= 1.42.0), libboost-filesystem-dev (>= 1.42.0), libboost-date-time-dev (>= 1.42.0), libboost-system-dev (>= 1.42.0), libboost-signals-dev (>= 1.42.0), libboost-regex-dev (>= 1.42.0), libeigen3-dev (>= 3.0.0) Homepage: http://www.openwalnut.org Priority: extra Section: libdevel Filename: pool/main/o/openwalnut/libopenwalnut1-dev_1.2.5-1~nd60+1_amd64.deb Size: 262342 SHA256: 122e85e2c424947b3b0d650abd86e0378ffe7bf3a68bb854acbad5c9a09a021f SHA1: bd3098effc6ca8c751580edf9b28908b9ea562e9 MD5sum: db55a9b4bcd724fd9b46891bed49e53e Description: Multi-modal medical and brain data visualization tool. 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: 1.2.5-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 41228 Depends: neurodebian-popularity-contest, libjs-jquery Homepage: http://www.openwalnut.org Priority: extra Section: doc Filename: pool/main/o/openwalnut/libopenwalnut1-doc_1.2.5-1~nd60+1_all.deb Size: 4250672 SHA256: 187d9db9af70ee2c4eed8c47e487a7b1d334f0e80b99634efb5f2569c36e7d6f SHA1: f1960a9063e1a4aaa672f01ecde74e0fba3d6c74 MD5sum: f257fecd36b6860f03e27ea4575b8c51 Description: Multi-modal medical and brain data visualization tool. 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 20 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~nd60+1_amd64.deb Size: 7744 SHA256: 672903ea7c9c5f65107368dffbeba7f615f7a2a0b769a2c184189747fb398c5d SHA1: 2770e5db0c46c4fdfa534bbab3030fdaa807edf5 MD5sum: 8eab40884dc1dcb5e6d2287377b027f4 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: libpgm-5.1-0 Source: libpgm Version: 5.1.116~dfsg-2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 316 Depends: neurodebian-popularity-contest, libc6 (>= 2.7) Homepage: http://code.google.com/p/openpgm/ Priority: optional Section: libs Filename: pool/main/libp/libpgm/libpgm-5.1-0_5.1.116~dfsg-2~nd60+1_amd64.deb Size: 178580 SHA256: a1ae585ff17a05ca4d5c39faeae973d84b2ac588cd0372f85e3f777e1144fa81 SHA1: b1ee630ed203852beb1154fb12f39a8511afeffc MD5sum: eff5cd95bd5d22dd6de8ef0dc7e275c1 Description: OpenPGM shared library OpenPGM is an open source implementation of the Pragmatic General Multicast (PGM) specification in RFC 3208 available at www.ietf.org. PGM is a reliable and scalable multicast protocol that enables receivers to detect loss, request retransmission of lost data, or notify an application of unrecoverable loss. PGM is a receiver-reliable protocol, which means the receiver is responsible for ensuring all data is received, absolving the sender of reception responsibility. PGM runs over a best effort datagram service, currently OpenPGM uses IP multicast but could be implemented above switched fabrics such as InfiniBand. . This is the runtime package for programs that use the OpenPGM library. Package: libpgm-dbg Source: libpgm Version: 5.1.116~dfsg-2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 660 Depends: neurodebian-popularity-contest, libpgm-5.1-0 (= 5.1.116~dfsg-2~nd60+1) Homepage: http://code.google.com/p/openpgm/ Priority: extra Section: debug Filename: pool/main/libp/libpgm/libpgm-dbg_5.1.116~dfsg-2~nd60+1_amd64.deb Size: 228360 SHA256: 7d0eb38f6ba98a40a19a6155caa7c9776f376a69e95d6781ffbb162165432a94 SHA1: 72e3c8f027e8ee48f0457005b5774605f28cadae MD5sum: 0ed732ae6f8ee9a71ef6318e5d0541e9 Description: OpenPGM debugging symbols OpenPGM is an open source implementation of the Pragmatic General Multicast (PGM) specification in RFC 3208 available at www.ietf.org. PGM is a reliable and scalable multicast protocol that enables receivers to detect loss, request retransmission of lost data, or notify an application of unrecoverable loss. PGM is a receiver-reliable protocol, which means the receiver is responsible for ensuring all data is received, absolving the sender of reception responsibility. PGM runs over a best effort datagram service, currently OpenPGM uses IP multicast but could be implemented above switched fabrics such as InfiniBand. . These are the debugging symbols for the library and its utilities. Package: libpgm-dev Source: libpgm Version: 5.1.116~dfsg-2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 704 Depends: neurodebian-popularity-contest, libpgm-5.1-0 (= 5.1.116~dfsg-2~nd60+1) Conflicts: libnetpbm9-dev Homepage: http://code.google.com/p/openpgm/ Priority: optional Section: libdevel Filename: pool/main/libp/libpgm/libpgm-dev_5.1.116~dfsg-2~nd60+1_amd64.deb Size: 235326 SHA256: 0d2d521e43053cc65ee5bf6182f59a78aa8d1c0eb8fb3d874d6e738b476d9908 SHA1: 073801fe9a7d3ef858c3519ead6f767010ac353a MD5sum: f30295747370a5b47bec83cf3796a7fc Description: OpenPGM development files OpenPGM is an open source implementation of the Pragmatic General Multicast (PGM) specification in RFC 3208 available at www.ietf.org. PGM is a reliable and scalable multicast protocol that enables receivers to detect loss, request retransmission of lost data, or notify an application of unrecoverable loss. PGM is a receiver-reliable protocol, which means the receiver is responsible for ensuring all data is received, absolving the sender of reception responsibility. PGM runs over a best effort datagram service, currently OpenPGM uses IP multicast but could be implemented above switched fabrics such as InfiniBand. . This is the development package which contains headers and static libraries for the OpenPGM library. Package: librtfilter-dev Source: rtfilter Version: 1.1-4~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 64 Depends: neurodebian-popularity-contest, librtfilter1 (= 1.1-4~nd60+1) Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: libdevel Filename: pool/main/r/rtfilter/librtfilter-dev_1.1-4~nd60+1_amd64.deb Size: 12540 SHA256: ab2648f2a568db8f55b2436215e52c197394fc0c4bfcf1acecc17e82a47bae9e SHA1: 934d0366a8d6a1bdefa5265420ce4a9ce254d94a MD5sum: b0c5d4d3475efdea44c45c364b759fed 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 84 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5) Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: libs Filename: pool/main/r/rtfilter/librtfilter1_1.1-4~nd60+1_amd64.deb Size: 31470 SHA256: 902536c51b64c98cd1a32ac90a5f75c77467d3197c3c3673c79d3c97fa8bf16b SHA1: 299bdec400e4bd9e0a6f56f6eb380b6fbf0b7a67 MD5sum: 7b1f6017c21251df32f4089d9241aaaa 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 100 Depends: neurodebian-popularity-contest, librtfilter1 (= 1.1-4~nd60+1) Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: debug Filename: pool/main/r/rtfilter/librtfilter1-dbg_1.1-4~nd60+1_amd64.deb Size: 30356 SHA256: ccafd23752708d4d9d49c61c3f76525ffa6cf82c453a539aa35a187a8537c575 SHA1: 9158f07fa7c4883fb2bd55315e85398c47abefb2 MD5sum: 542e5080a48c29c519e3b8329229a9b2 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: libslicer3 Source: slicer Version: 3.4.0~svn10438-3~squeeze.nd1 Architecture: amd64 Maintainer: Debian Science Team Installed-Size: 125536 Depends: libc6 (>= 2.2.5), libcurl3 (>= 7.16.2-1), libgcc1 (>= 1:4.1.1), libgdcm2.0 (>= 2.0.12), libinsighttoolkit3.16, libkwwidgets1.0.0908, libstdc++6 (>= 4.1.1), libteem1 (>= 1.10.0), libvtk5.2, tcl8.5 (>= 8.5.0), vtk-tcl, zlib1g (>= 1:1.1.4) Homepage: http://www.slicer.org/ Priority: optional Section: libs Filename: pool/main/s/slicer/libslicer3_3.4.0~svn10438-3~squeeze.nd1_amd64.deb Size: 26921078 SHA256: 34cac2737d4af7fb3318b0e69e524ef4bcdb9f39af3f7b6678299d0ec7f0e0af SHA1: 3589b3561719cd8b878adbf7e9edbf1ac5cb7651 MD5sum: 06ca061fd0a529d0d8b53c33d0d35d68 Description: software package for visualization and image analysis - runtime Slicer is an application for computer scientists and clinical researchers. The platform provides functionality for segmentation, registration and three-dimensional visualization of multi-modal image data, as well as advanced image analysis algorithms for diffusion tensor imaging, functional magnetic resonance imaging and image-guided therapy. Standard image file formats are supported, and the application integrates interface capabilities to biomedical research software and image informatics frameworks. . 3D Slicer libraries. Package: libslicer3-dev Source: slicer Version: 3.4.0~svn10438-3~squeeze.nd1 Architecture: amd64 Maintainer: Debian Science Team Installed-Size: 3088 Depends: libslicer3 (= 3.4.0~svn10438-3~squeeze.nd1) Conflicts: libmrml1-dev Homepage: http://www.slicer.org/ Priority: optional Section: libdevel Filename: pool/main/s/slicer/libslicer3-dev_3.4.0~svn10438-3~squeeze.nd1_amd64.deb Size: 446184 SHA256: 1972a9931ea8c384f1f1e1d1edcb235ad985e2300321be9f73bee14cbe66dec0 SHA1: 925bbc86c9261b5b25e7fe2bbe5345a284b4bffb MD5sum: 551206a99536696d0fd59f94b85efa73 Description: software package for visualization and image analysis - development Slicer is an application for computer scientists and clinical researchers. The platform provides functionality for segmentation, registration and three-dimensional visualization of multi-modal image data, as well as advanced image analysis algorithms for diffusion tensor imaging, functional magnetic resonance imaging and image-guided therapy. Standard image file formats are supported, and the application integrates interface capabilities to biomedical research software and image informatics frameworks. . 3D Slicer development files. Package: libsvm-dev Source: libsvm Version: 3.0-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 148 Depends: neurodebian-popularity-contest, libsvm3 (= 3.0-1~nd60+1) Homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Priority: optional Section: libdevel Filename: pool/main/libs/libsvm/libsvm-dev_3.0-1~nd60+1_amd64.deb Size: 39868 SHA256: 94ff7f535af2c453fa1f92fb7591f246b47fac2393c7195a1acd623ab6c51e91 SHA1: 8ead05c608c2a32e65652820004a2667a5a73426 MD5sum: 9ee7d3fe1f4223d5197c593cd8d625e1 Description: The LIBSVM header files These are the header files for LIBSVM, a machine-learning library. Package: libsvm-java Source: libsvm Version: 3.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 48 Depends: neurodebian-popularity-contest, libsvm3-java Homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Priority: optional Section: java Filename: pool/main/libs/libsvm/libsvm-java_3.0-1~nd60+1_all.deb Size: 13482 SHA256: 747f6bbaa0672dd192c281637bd277fabe9147c7d20168f2b6fd17e20038e3de SHA1: db5548e811b699c6a300814200cf0e949dcce62f MD5sum: d984c74835cf5628722c9688890e79c3 Description: Java API to support vector machine library The functionality of the libsvm are offered in a single jar file. It includes one-class, two-class, multiclass, regression-mode, and probablistic output functionality. . This package solely provides a symbolic link from svm.jar svm3.jar. Package: libsvm-tools Source: libsvm Version: 3.0-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 340 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), python, gnuplot Homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Priority: optional Section: devel Filename: pool/main/libs/libsvm/libsvm-tools_3.0-1~nd60+1_amd64.deb Size: 120622 SHA256: 26f1a9c0fe096e799a808d3f4480b62781c5f443b6c36404ff1bbc66fec39793 SHA1: 11d70579fb70592d19f09525e4bd22297584846e MD5sum: 147f93a21773d32f3cfe7fd7135f428a Description: The LIBSVM binary tools LIBSVM is an easy-to-use package for support vector classification, regression and one-class SVM. It supports multi-class classification, probability outputs, and parameter selection. LIBSVM homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm Package: libsvm3 Source: libsvm Version: 3.0-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 128 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Priority: optional Section: libs Filename: pool/main/libs/libsvm/libsvm3_3.0-1~nd60+1_amd64.deb Size: 46486 SHA256: 77696ff7476afc6301838895e237b659cd95484c3749037cc5be34dd5fe01ca9 SHA1: 01f3b5927522e9639aa67301d09ce3fa28606c5a MD5sum: 6574a008bf2f4bd247c22ad0f1a767e1 Description: library implementing support vector machines The LIBSVM library is used to calculate Support Vector Machine optimizations with a great variety of powerful options. It includes one-class, two-class, multiclass, regression-mode, and probablistic output functionality. It is primarily of interest to machine-learning researchers and artificial intelligence application developers. Package: libsvm3-java Source: libsvm Version: 3.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, gij | java-gcj-compat | java1-runtime | java2-runtime Suggests: java-virtual-machine Conflicts: libsvm2-java (<= 2.91-2) Homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Priority: optional Section: java Filename: pool/main/libs/libsvm/libsvm3-java_3.0-1~nd60+1_all.deb Size: 60470 SHA256: c987074f9d3999f640bfcb339c768614ff592d3912a0ed5612b1a7dce443057d SHA1: 3c15a635564faded13725b2e51510f4dfb8cf7cf MD5sum: 9ee4532e7ca8eb5d96ef4c8bd603a7b4 Description: Java API to support vector machine library The functionality of the libsvm are offered in a single jar file. It includes one-class, two-class, multiclass, regression-mode, and probablistic output functionality. Package: libusb-1.0-0 Source: libusb-1.0 Version: 2:1.0.9-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 96 Depends: neurodebian-popularity-contest, libc6 (>= 2.8) Multi-Arch: same Homepage: http://www.linux-usb.org/ Priority: optional Section: libs Filename: pool/main/libu/libusb-1.0/libusb-1.0-0_1.0.9-1~nd60+1_amd64.deb Size: 38686 SHA256: 0321bdb436e209a8b2f1b13dbdd1e216e4ae7e4b31815c71b0029b2ff5d6b13a SHA1: 0640674b8a145a4d8ac23dbc5f1a412760e9735f MD5sum: f2a867c9573e31422a0db37a1c3c3829 Description: userspace USB programming library Library for programming USB applications without the knowledge of Linux kernel internals. Package: libusb-1.0-0-dev Source: libusb-1.0 Version: 2:1.0.9-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1032 Depends: neurodebian-popularity-contest, libusb-1.0-0 (= 2:1.0.9-1~nd60+1), libc6-dev | libc-dev Homepage: http://www.linux-usb.org/ Priority: optional Section: libdevel Filename: pool/main/libu/libusb-1.0/libusb-1.0-0-dev_1.0.9-1~nd60+1_amd64.deb Size: 174202 SHA256: a39563d0a2c0107e7448a5d999bbb02559e95b83d16facd91f7adc73e2b19871 SHA1: a599215ae70cf20ae09d246402b72df1aa7415f5 MD5sum: ce010ba36e6f335bb6aeb2c559f4386e Description: userspace USB programming library development files Library for programming USB applications without the knowledge of Linux kernel internals. Package: libvia-dev Source: via Version: 2.0.4-2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 872 Depends: neurodebian-popularity-contest, libvia2 (= 2.0.4-2~nd60+1), x11proto-core-dev Conflicts: via-dev Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: libdevel Filename: pool/main/v/via/libvia-dev_2.0.4-2~nd60+1_amd64.deb Size: 245564 SHA256: 782eca4591f56922ed25169db2d50ccc71328c21bb17f216efce4af500b66a3c SHA1: cc39a62eaef4c58f12a00c842de6dac33ab8a466 MD5sum: 5db1a956a792ddf7c47ecd34a762ef25 Description: library for volumetric image analysis VIA is a volumetric image analysis suite. The included libraries provide about 70 image analysis functions. . This package provides the header files and static libraries of vialib, vxlib and viaio. Package: libvia-doc Source: via Version: 2.0.4-2~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1084 Depends: neurodebian-popularity-contest Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: doc Filename: pool/main/v/via/libvia-doc_2.0.4-2~nd60+1_all.deb Size: 115734 SHA256: 91c80bb11eb66c49556d0406b465a4a14585c487049c208e10d38bbc0236fb32 SHA1: 420196944169b914df4234754a5e361bf8f5c6df MD5sum: 74cad029d3563ea0883f26c18cebde66 Description: VIA library API documentation VIA is a volumetric image analysis suite. The included libraries provide about 70 image analysis functions. . This package provides the library API reference documentation. Package: libvia0 Source: via Version: 1.6.0-2~squeeze.nd1 Architecture: amd64 Maintainer: Michael Hanke Installed-Size: 476 Depends: lesstif2 (>= 1:0.94.4), libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.3), libgsl0ldbl (>= 1.9), libice6 (>= 1:1.0.0), libsm6, libx11-6, libxext6, libxmu6, libxt6 Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: libs Filename: pool/main/v/via/libvia0_1.6.0-2~squeeze.nd1_amd64.deb Size: 189924 SHA256: 2c95226e0a9b661583bb7ea104a37a21f38c974bb5c5a24876b2f360348be659 SHA1: 06bf55af063d29cb4b1b448b3421770c28e9dc99 MD5sum: 721ea2b500a2736110651947afae7125 Description: library for volumetric image analysis VIA is a volumetric image analysis suite. The included libraries provide about 70 image analysis functions. . This package contains the shared libraries of vialib, vxlib and viaio. Package: libvia2 Source: via Version: 2.0.4-2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 448 Depends: neurodebian-popularity-contest, lesstif2 (>= 1:0.94.4), libatlas3gf-base, libc6 (>= 2.7), libgsl0ldbl (>= 1.9), libice6 (>= 1:1.0.0), libsm6, libx11-6, libxext6, libxmu6, libxt6 Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: libs Filename: pool/main/v/via/libvia2_2.0.4-2~nd60+1_amd64.deb Size: 194394 SHA256: 0f5a7144401d7466e2adbfebc8dbedb29a0bf82fcd8a00aada65f71d57ac315b SHA1: 4ee6da1579fcf623df0546232ea1edab3024ca65 MD5sum: 30899d86be72b7df64f6a0f36fa86054 Description: library for volumetric image analysis VIA is a volumetric image analysis suite. The included libraries provide about 70 image analysis functions. . This package contains the shared libraries of vialib, vxlib and viaio. Package: libvrpn-dev Source: vrpn Version: 07.30+dfsg-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 936 Depends: neurodebian-popularity-contest, libvrpn0 (= 07.30+dfsg-1~nd60+1), libvrpnserver0 (= 07.30+dfsg-1~nd60+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: libdevel Filename: pool/main/v/vrpn/libvrpn-dev_07.30+dfsg-1~nd60+1_amd64.deb Size: 218354 SHA256: 2d9604f1c6153a7bc66947d58031245169ad5b8fdbe503ec2830c2d585de86cf SHA1: 61e0553fe50d1c43f9133928e0d29a23cd0fa2d3 MD5sum: 3f87056a53964076b191fdf88aaa1ca6 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 616 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), 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~nd60+1_amd64.deb Size: 236854 SHA256: 87901af9880ded46e11975827ae06b9f828bc7872cd31a4e7dcdf615bd74f8a4 SHA1: 2f20eeef4ffe870aabd3aaf07ca58dbd03a1793c MD5sum: b6dd84006e57b9bf826b68f94ee8a909 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1444 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), 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~nd60+1_amd64.deb Size: 495206 SHA256: 8d6446ca80fd5aa515a777ba4bbe0290dede2d74b624bf791c1b615ab473a4df SHA1: 89ac69f9a776a63e8c75bc94018aa91942512831 MD5sum: 5ceae89efe2a42f3fb9f0f4fc153f4d4 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: libxdffileio-dev Source: xdffileio Version: 0.3-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 100 Depends: neurodebian-popularity-contest, libxdffileio0 (= 0.3-1~nd60+1) Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: libdevel Filename: pool/main/x/xdffileio/libxdffileio-dev_0.3-1~nd60+1_amd64.deb Size: 27712 SHA256: 3bfcef01e03e1ec82f1364e0a068c039b0095adf4e8835c9bf78e1c447b6d2b4 SHA1: 76f3b633e69aae5e1f16733cbeff9121b4f26a0d MD5sum: d9c1d022c83c399e5d1b29002e8eec20 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 112 Depends: neurodebian-popularity-contest, libc6 (>= 2.7) Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: libs Filename: pool/main/x/xdffileio/libxdffileio0_0.3-1~nd60+1_amd64.deb Size: 42644 SHA256: a0a947bb79903e12c33f9073e9dc130e8eb0c9c01cf3bd24329585bc52554729 SHA1: aa6c394ffa2fd2642e6b47a17b716e20e4ef37c6 MD5sum: afd319c34030ff65e1a171141d41ee2d 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 160 Depends: neurodebian-popularity-contest, libxdffileio0 (= 0.3-1~nd60+1) Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: debug Filename: pool/main/x/xdffileio/libxdffileio0-dbg_0.3-1~nd60+1_amd64.deb Size: 54766 SHA256: 2650c3a9ae5b0b557a89ed8b5986d2b892cb38c5fc1b5ba56cc0bd2e453ca335 SHA1: 61df97ad05e6a9b4219232eb5e030eac08c50f2c MD5sum: 99b6821b059e2cd0cf41e487ad123c73 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: libzmq-dbg Source: zeromq Version: 2.1.7-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1852 Depends: neurodebian-popularity-contest, libzmq1 (= 2.1.7-1~nd60+1) Homepage: http://www.zeromq.org/ Priority: extra Section: debug Filename: pool/main/z/zeromq/libzmq-dbg_2.1.7-1~nd60+1_amd64.deb Size: 681734 SHA256: 6bf333592d6c7fd703a98be107e93015dbd85f008bc7045d58b96411d8c058ec SHA1: f323f2b22443e2faa42d2a78f59cef07dba17c62 MD5sum: b4bb79ff1e047e4ba765589e479df7c7 Description: ZeroMQ lightweight messaging kernel (debugging symbols) The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more. . This package contains the debugging synmbols for the ZeroMQ library. Package: libzmq-dev Source: zeromq Version: 2.1.7-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1048 Depends: neurodebian-popularity-contest, libzmq1 (= 2.1.7-1~nd60+1) Homepage: http://www.zeromq.org/ Priority: optional Section: libdevel Filename: pool/main/z/zeromq/libzmq-dev_2.1.7-1~nd60+1_amd64.deb Size: 354034 SHA256: d50935b519834ed0c0da29334296abd1ef9ef273a96e8c0527c0999fb989fb4e SHA1: 87ee87b17a13f59a0c248f69f9e4d414c5391a6f MD5sum: 8d5615cf83f3f2fe6d1d61ec2bf8eea1 Description: ZeroMQ lightweight messaging kernel (development libraries and header files) The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more. . This package contains the ZeroMQ development libraries and header files. Package: libzmq1 Source: zeromq Version: 2.1.7-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 404 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.2), libgcc1 (>= 1:4.1.1), libpgm-5.1-0 (>= 5.1.116~dfsg), libstdc++6 (>= 4.2.1), libuuid1 (>= 2.16) Homepage: http://www.zeromq.org/ Priority: optional Section: libs Filename: pool/main/z/zeromq/libzmq1_2.1.7-1~nd60+1_amd64.deb Size: 226600 SHA256: 26b64460ba8db395496814bdbc39f79557d1294325f5ab84fa9e89020648a5ff SHA1: fbd16473d13a079d0fcc8c38702a5966400e1064 MD5sum: f924639462f11004c9d3e05336f11b52 Description: ZeroMQ lightweight messaging kernel (shared library) The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more. . This package contains the ZeroMQ shared library. Package: lipsia Version: 1.6.0-4~squeeze.nd1 Architecture: amd64 Maintainer: Michael Hanke Installed-Size: 3804 Depends: libc6 (>= 2.7), libdcmtk1 (>= 3.5.4), libfftw3-3, libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libgsl0ldbl (>= 1.9), libice6 (>= 1:1.0.0), libnifti2, libqt3-mt (>= 3:3.3.8b), libsm6, libstdc++6 (>= 4.4.0), libvia0, libx11-6, libxext6, zlib1g (>= 1:1.1.4), via-bin Recommends: dcmtk, lipsia-doc Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: science Filename: pool/main/l/lipsia/lipsia_1.6.0-4~squeeze.nd1_amd64.deb Size: 1347266 SHA256: 979d00009ee4b4d9313cc049a902879ff81f753e0f8bbadf32ba64a8d40a5362 SHA1: 07aab2dbaf06e65c5e284364b0bfd865be0a3561 MD5sum: 05210b5b08e55aa400f3a5fe14e6cdd3 Description: analysis suite for MRI and fMRI data Leipzig Image Processing and Statistical Inference Algorithms (LIPSIA) . This is a software package for the data processing and evaluation of functional magnetic resonance images. The analysis of fMRI data comprises various aspects including filtering, spatial transformation, statistical evaluation as well as segmentation and visualization. All these aspects are covered by LIPSIA. For the statistical evaluation, a number of well established and peer-reviewed algorithms were implemented in LIPSIA that allow an efficient and user-friendly processing of fMRI data sets. As the amount of data that must be handled is enormous, an important aspect in the development of LIPSIA was the efficiency of the software implementation. . LIPSIA operates exclusively on data in the VISTA data format. However, the package contains converters for medical image data in iBruker, ANALYZE and NIfTI format -- converting VISTA images into NIfTI files is also supported. Package: lipsia-doc Source: lipsia Version: 1.6.0-4~squeeze.nd1 Architecture: all Maintainer: Michael Hanke Installed-Size: 7004 Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: doc Filename: pool/main/l/lipsia/lipsia-doc_1.6.0-4~squeeze.nd1_all.deb Size: 5539242 SHA256: 698077dd0ec212ab7db8d81fb1ea253fde3176d0817184edf9cc35f1b634be0b SHA1: 9370ec74bf24fddf9143bc0556f7f3535560b929 MD5sum: 5d38c0c06db5d46971b92e261ab545db Description: documentation for LIPSIA Leipzig Image Processing and Statistical Inference Algorithms (LIPSIA) . This package provides the LIPSIA documentation in HTML format. Package: matlab-support-dev Source: matlab-support Version: 0.0.19~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16 Depends: neurodebian-popularity-contest Conflicts: matlab-dev (<= 0.0.14~) Replaces: matlab-dev (<= 0.0.14~) Priority: optional Section: devel Filename: pool/main/m/matlab-support/matlab-support-dev_0.0.19~nd60+1_all.deb Size: 7222 SHA256: b67c492f0bb5c4d3c75c6729728eaf55f9d641237dc4d75da000e8a92b5b9b07 SHA1: aceb6fafd86b1e5cc970cb70922703113955c2ab MD5sum: f1ffbef6c307c70e72e532a47d23bf97 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: mitools Source: odin Version: 1.8.1-3~squeeze.nd1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 7100 Depends: libblitz0ldbl (>= 0.9), libc6 (>= 2.3.2), libdcmtk1 (>= 3.5.4), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), libnifti2, liboil0.3 (>= 0.3.10), libpng12-0 (>= 1.2.13-4), libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.5.3), libqwt5-qt4, libstdc++6 (>= 4.4.0), libvia0, libvtk5.4, zlib1g (>= 1:1.1.4), dcmtk Recommends: grace Homepage: http://od1n.sourceforge.net Priority: extra Section: science Filename: pool/main/o/odin/mitools_1.8.1-3~squeeze.nd1_amd64.deb Size: 2438536 SHA256: 1c1bf6931b9db09d20118043b6670520352d76690bcba2bd9e626a7c14977f66 SHA1: 83a45f396f36edfcef79c2461bc01f038d61082a MD5sum: 18612ad31c664fb9fa1580a7e577657d 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: 1:2.0.7-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 2145 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.4.0), libwxbase2.8-0 (>= 2.8.10.1), libwxgtk2.8-0 (>= 2.8.10.1) Homepage: http://lcni.uoregon.edu/~jolinda/MRIConvert/ Priority: optional Section: science Filename: pool/main/m/mriconvert/mriconvert_2.0.7-1~nd60+1_amd64.deb Size: 1128836 SHA256: 5e8ea477303b7154c7bea88216c41730c0049951b6008a97d1791667da4b4e7d SHA1: f970e2377ca457437a337fc993776ca3239ec9f0 MD5sum: f2d5d38372a67d8c3b3fd7f97607f749 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: 0.20130828.1~dfsg.1-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 15708 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.29.3), libc6 (>= 2.2.5), libcairo2 (>= 1.2.4), libglib2.0-0 (>= 2.12.0), libgtk2.0-0 (>= 2.8.0), libpango1.0-0 (>= 1.14.0), libx11-6, mricron-data Suggests: mricron-doc, fsl Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: science Filename: pool/main/m/mricron/mricron_0.20130828.1~dfsg.1-1~nd60+1_amd64.deb Size: 4894898 SHA256: c96bb99e982c0ceb5412d1b372f0842b7b31fd0765236baa0bd4988fd5045a40 SHA1: d7462ca05154ea8c738b4c44d4358d9b10d924b3 MD5sum: 938f365800ce5d52f61c55819d081049 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: 0.20130828.1~dfsg.1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1852 Depends: neurodebian-popularity-contest Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: science Filename: pool/main/m/mricron/mricron-data_0.20130828.1~dfsg.1-1~nd60+1_all.deb Size: 1667340 SHA256: d6f8ad195cc0ed772ca763f076869e868067c4d0b924f573a603b41b9549b555 SHA1: 271afd3816df93970f41f1a64394246d95f59ba3 MD5sum: ffa3cce812b3a006cf14f7d3febdf6f2 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: 0.20130828.1~dfsg.1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1220 Depends: neurodebian-popularity-contest Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: doc Filename: pool/main/m/mricron/mricron-doc_0.20130828.1~dfsg.1-1~nd60+1_all.deb Size: 739926 SHA256: 896c97607ad1b172ee8869c36f3bf1e75802a3acfb93ae28e640fdc7fe203179 SHA1: 53a00730f294ffad6736597d6a3dad68a398e773 MD5sum: 8d4536933023705926ce96394e160ebd Description: data files for MRIcron This is a GUI-based visualization and analysis tool for (functional) magnetic resonance imaging. MRIcron can be used to create 2D or 3D renderings of statistical overlay maps on brain anatomy images. Moreover, it aids drawing anatomical regions-of-interest (ROI), or lesion mapping, as well as basic analysis of functional timeseries (e.g. creating plots of peristimulus signal-change). . This package provides documentation for MRIcron in HTML format. Package: mrtrix Version: 0.2.12-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 9056 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.29.3), libc6 (>= 2.2.5), libcairo2 (>= 1.2.4), libcairomm-1.0-1 (>= 1.6.4), libfontconfig1 (>= 2.8.0), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.12.0), libglibmm-2.4-1c2a (>= 2.24.0), libglu1-mesa | libglu1, libgsl0ldbl (>= 1.9), libgtk2.0-0 (>= 2.8.0), libgtkglext1, libgtkmm-2.4-1c2a (>= 1:2.20.0), libice6 (>= 1:1.0.0), libpango1.0-0 (>= 1.14.0), libpangomm-1.4-1 (>= 2.26.0), libsigc++-2.0-0c2a (>= 2.0.2), libsm6, libstdc++6 (>= 4.3), 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~nd60+1_amd64.deb Size: 2842722 SHA256: 27aebd75e279b75d12af9d54bc02623a8fddb89549041730327dafa7c894daee SHA1: 2c0c3ce31ce3ff530a5b8c45df24588482452169 MD5sum: 1e3df326c454139e76c1510c257c32cd 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~nd60+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 3740 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~nd60+1_all.deb Size: 3323486 SHA256: f7b9e905cc93eb3a1a26b92f47094648dcea134c277fd3f3e3674b1ccf2e3216 SHA1: 10103aaf72809249a73dbec24a4555f01b14ef1c MD5sum: bc2939c756c84aa015fa6e19c561d078 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 364 Depends: neurodebian-popularity-contest, libc6 (>= 2.3), 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~nd60+1_amd64.deb Size: 220898 SHA256: 8d27c3f525b473a083e8d2d3fc5f09cefd1ef0118a92412457f46c2de34aec0b SHA1: baf31ce29a80b2b25cbf7a99aa6ade7a1a57299e MD5sum: 348469774829a23bedcbc9650220107f 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 84 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), 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~nd60+1_amd64.deb Size: 32858 SHA256: 267bc9e058a0987548066a8e3ea06e68b6a41e6f6f98fd9af80f40b6cbfa9f42 SHA1: f0146891ad3b3d77fc5a9d2db1ff48ccca9fec22 MD5sum: 2ed476018c6903600aac16d97ff3eb65 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~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 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~nd60+1_all.deb Size: 17844 SHA256: bbf1c52964cfd2a20ec42e23c6a8f355f2cee3909e799ed44dcdd47a6c4e941d SHA1: 3640b02b564e47ee13fb0ada9197fe2a7cc799d6 MD5sum: 1552a06b0e165126235ccd5a13e13111 Description: speed tester for choosing a fast Debian mirror This package provides a utility that can choose the best Debian mirror by downloading the full mirror list and using netselect to find the fastest/closest one. . It can output a sources.list(5) file that can be used with package management tools such as apt or aptitude. Package: neurodebian Version: 0.37.2~nd60+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_0.37.2~nd60+1_all.deb Size: 32778 SHA256: 5c67ea15bf550df85fdef99728ddf5fee8b484fb068722cbf6a5b094cdef95d6 SHA1: 7236d201fdc293f2fd7ecea3c895ddd6effb3a25 MD5sum: bb0802fab6bcf02af40d37ea1b466d81 Description: neuroscience-oriented distribution - repository configuration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package enables the NeuroDebian repository on top of a standard Debian or Ubuntu system. Package: neurodebian-archive-keyring Source: neurodebian Version: 0.37.2~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Breaks: neurodebian-keyring (<< 0.34~) Replaces: neurodebian-keyring (<< 0.34~) Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-archive-keyring_0.37.2~nd60+1_all.deb Size: 10316 SHA256: 8ed823f54639277b4a1ae666fa0ee1022a30cbe9c208bc14e957629fe15ea7e3 SHA1: bad5df06579814e70f5b86f3cf1910c0d6b30809 MD5sum: f067add0b4289087f602f7998ce25470 Description: neuroscience-oriented distribution - GnuPG archive keys The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . The NeuroDebian project digitally signs its Release files. This package contains the archive keys used for that. Package: neurodebian-desktop Source: neurodebian Version: 0.37.2~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 284 Depends: ssh-askpass-gnome | ssh-askpass, desktop-base, adwaita-icon-theme | gnome-icon-theme, neurodebian-popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-desktop_0.37.2~nd60+1_all.deb Size: 118324 SHA256: 4a6be72c8d755db8ab9a38bf092b069d7145507f2611841e83c960be7637b59c SHA1: b65812b1444b957d713cf817b694e1e6c42b0f8c MD5sum: 65ce0902eed0f080be53ed49e6a79945 Description: neuroscience-oriented distribution - desktop integration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package provides NeuroDebian artwork (icons, background image) and a NeuroDebian menu featuring the most popular neuroscience tools, which will be automatically installed upon initial invocation. Package: neurodebian-dev Source: neurodebian Version: 0.37.2~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 160 Depends: devscripts, neurodebian-archive-keyring Recommends: python, zerofree, moreutils, time, ubuntu-keyring, debian-archive-keyring, apt-utils, cowbuilder Suggests: virtualbox-ose, virtualbox-ose-fuse Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-dev_0.37.2~nd60+1_all.deb Size: 35574 SHA256: 4d977e23602f4d5265c935bd9adad21b977948a19b501e729aa3b240ab622bb6 SHA1: e59e071d3382e8ca4da222352e6f43a76756d0db MD5sum: 8f49cb315b7eaeb579c860b5e74ec69f 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: 0.32~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 148 Pre-Depends: virtualbox-ose-guest-utils, virtualbox-ose-guest-x11, virtualbox-ose-guest-dkms Depends: sudo, neurodebian-desktop, gdm | lightdm, zenity Recommends: chromium-browser, update-manager-gnome, update-notifier Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-guest-additions_0.32~nd60+1_all.deb Size: 15364 SHA256: 8b60186315cf6bc08a34fe494b3bbd5d9fdd1c9cd3e834d0ff3fe6b888b5c7f6 SHA1: 87d6f3cdebd6b66d7964256bc94726f010252244 MD5sum: dca579a45bfbb6606f525db6583d6021 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-keyring Source: neurodebian Version: 0.32~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20 Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-keyring_0.32~nd60+1_all.deb Size: 7626 SHA256: c51b91a5ba0f2160b45054e95b56acf994a7283a2e8351f94a06609ed7e4c267 SHA1: 01d7477fb66581639d4080af0e61493af6bbe891 MD5sum: 2b8df8077e84901f8c0da8534006e437 Description: GnuPG archive keys of the NeuroDebian archive The NeuroDebian project digitally signs its Release files. This package contains the archive keys used for that. Package: neurodebian-popularity-contest Source: neurodebian Version: 0.37.2~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.37.2~nd60+1_all.deb Size: 12356 SHA256: 0a0950b2014100497a85531b75ad996501f55cf2041c8126b975547ab4e5737d SHA1: 325072af02f7143b5b2f2a93426babd951f00464 MD5sum: 13383f355524551dea82d00c8f6044d6 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: 2.0.0-1~squeeze.nd1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 192 Depends: libc6 (>= 2.7), libnifti2 Homepage: http://niftilib.sourceforge.net Priority: optional Section: utils Filename: pool/main/n/nifticlib/nifti-bin_2.0.0-1~squeeze.nd1_amd64.deb Size: 62198 SHA256: 1256f60544b62afd9dc439b9d9140f9f9d45d2cf4acd39acdcb91c4c2912e213 SHA1: 663320bd769210e86f738fd69145b663129280cd MD5sum: 7e62348a771f5851cc7438eb5b2bfb54 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: 0.4.7-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2128 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libfftw3-3, libgcc1 (>= 1:4.1.1), libgdcm2.0 (>= 2.0.16), libinsighttoolkit3.18, libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.4.0), libtiff4, zlib1g (>= 1:1.1.4), nifti2dicom-data (= 0.4.7-1~nd60+1) Homepage: https://github.com/biolab-unige/nifti2dicom Priority: optional Section: science Filename: pool/main/n/nifti2dicom/nifti2dicom_0.4.7-1~nd60+1_amd64.deb Size: 479556 SHA256: 36fd7f95e3ac82ca6815883f47a37024615c914d1109d26fcd362021a62687f7 SHA1: 6f9057d1bdbc2a8a05cf3e0be0e850ecc3e15336 MD5sum: f0e26b337e612de657bb59b1f185bb7e 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: 0.4.7-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 648 Depends: neurodebian-popularity-contest Homepage: https://github.com/biolab-unige/nifti2dicom Priority: optional Section: science Filename: pool/main/n/nifti2dicom/nifti2dicom-data_0.4.7-1~nd60+1_all.deb Size: 614876 SHA256: 04d06c22d3901f894ed39bf2b3ea28cc941193ee285f6f190edd061703c4e9e9 SHA1: 65ec74084d94a23ecb1387cbc9a07e70549675c8 MD5sum: e106195c34f11b3212b0ee775414b149 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: nipy-suite Version: 0.1.0-2 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 36 Depends: python-nibabel (>= 1.0.0), python-nipy (>= 0.1.2+20110114), python-dipy (>= 0.5.0), python-nipype (>= 0.3.3), python-nitime (>= 0.2) Suggests: python-mvpa, psychopy Homepage: http://www.nipy.org Priority: extra Section: python Filename: pool/main/n/nipy-suite/nipy-suite_0.1.0-2_all.deb Size: 3898 SHA256: 882c8580ebd2d458a92f8d851d1ec9291fecf05f6ed98a8b754eb831c95368c8 SHA1: 6501d1d201160520f5aad29d0f9007c17b7d9778 MD5sum: eb090e568264d2f439892bcb98485b8c Description: Neuroimaging in Python NiPy is a comprehensive suite of Python modules to perform analysis of Neuroimaging data in Python. nipy-suite is a metapackage depending on the projects developed under NiPy project umbrella, such as - nibabel: bindings to various neuroimaging data formats - nipy: analysis of structural and functional neuroimaging data - nitime: timeseries analysis - dipy: analysis of MR diffusion imaging data - nipype: pipelines and worfklows Package: nipy-suite-doc Source: nipy-suite Version: 0.1.0-2 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 32 Depends: python-nibabel-doc (>= 1.0.0), python-nipy-doc (>= 0.1.2+20110114), python-dipy-doc (>= 0.5.0), python-nipype-doc (>= 0.3.3), python-nitime-doc (>= 0.2) Suggests: python-mvpa-doc Homepage: http://www.nipy.org Priority: extra Section: doc Filename: pool/main/n/nipy-suite/nipy-suite-doc_0.1.0-2_all.deb Size: 2250 SHA256: 54985bd9d6eaa352608b357f2deeb066bd2ac12d3c2e463082f5d9178701bbad SHA1: 5d2f5e94ff6b7ff737fe966f4a2e5ff67df93cca MD5sum: 37d2f8b6b6d203edf208afb0cdb56fa3 Description: Neuroimaging in Python -- documentation NiPy is a comprehensive suite of Python modules to perform analysis of Neuroimaging data in Python. . nipy-suite-doc is a metapackage depending on the documentation packages for NiPy projects. Package: nuitka Version: 0.5.14+ds-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2956 Depends: neurodebian-popularity-contest, g++-4.9 | g++-4.8 | g++-4.7 | g++-4.6 (>= 4.6.1) | g++-4.5 | g++-4.4 | clang (>= 3.0), scons (>= 2.0.0), python-dev (>= 2.6.6-2), python (>= 2.6.6-3+squeeze3~) Recommends: python-lxml (>= 2.3), python-qt4 (>= 4.8.6), strace Suggests: ccache Homepage: http://nuitka.net Priority: optional Section: python Filename: pool/main/n/nuitka/nuitka_0.5.14+ds-1~nd60+1_all.deb Size: 653506 SHA256: 34d6c3ff785463f860b7bc876fa2a8f178acd8047ff763ddde977b2ee65fe598 SHA1: 388278605336d4e1b9100463652fd5e0cec53dcc MD5sum: 8fe0fd7a345eff8a7f59b0a69fb06782 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 872 Depends: neurodebian-popularity-contest, libc6 (>= 2.3), 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~nd60+1_amd64.deb Size: 603250 SHA256: b218e24232d330929f0e4209e5465134b35dd7af7bc6927c73b85bfde9178359 SHA1: 87838bc7989c75ffdba3b92cf3a1465ed2fe1332 MD5sum: d3aeee9a401fcd1367552fdc9a9a935a 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 72 Depends: neurodebian-popularity-contest, octave3.2 (>= 3.2.4), libbiosig1, libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.2.5), libcholmod1.7.1 (>= 1:3.4.0), libfftw3-3, libgcc1 (>= 1:4.1.1), libgfortran3 (>= 4.3), libhdf5-serial-1.8.4 | libhdf5-1.8.4, liblapack3gf | liblapack.so.3gf | libatlas3gf-base, libncurses5 (>= 5.7+20100313), libreadline6 (>= 6.0), 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~nd60+1_amd64.deb Size: 24706 SHA256: c98759bca41515157965a391537e7307797fb182b0ababb59ac8ffee3b8304e4 SHA1: 7febae0bdd8a7597f03ef6f3bc04276e9e98841a MD5sum: 1a39e9f1718f5dd48c7842fe665c692f 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 368 Depends: neurodebian-popularity-contest, octave3.2 (>= 3.2.4), libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libgdf0, libstdc++6 (>= 4.4.0) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: science Filename: pool/main/libg/libgdf/octave-gdf_0.1.2-2~nd60+1_amd64.deb Size: 139870 SHA256: 66a590218c4924e834e117101672e47c478991fc71d0ce2a1a8b3cf3bdde24c5 SHA1: e48f3ba9dc12ce48a372e9a4199a6743d2357a83 MD5sum: 72a852eefdb9a31e6b55be1057feced4 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-psychtoolbox-3 Source: psychtoolbox-3 Version: 3.0.11.20140816.dfsg1-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2856 Depends: neurodebian-popularity-contest, octave3.2 (>= 3.2.4), freeglut3, libasound2 (>> 1.0.18), libc6 (>= 2.7), libdc1394-22, libfreenect0.1 (>= 1:0.1.1), libgl1-mesa-glx | libgl1, libglew1.9 (>= 1.9.0), libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libgstreamer-plugins-base0.10-0 (>= 0.10.23), libgstreamer0.10-0 (>= 0.10.24), libopenal1, libpciaccess0 (>= 0.8.0+git20071002), libusb-1.0-0 (>= 2:1.0.9), libx11-6 (>= 2:1.2.99.901), libxext6, libxfixes3 (>= 1:4.0.1), libxi6 (>= 2:1.2.99.4), libxml2 (>= 2.6.27), libxrandr2 (>= 2:1.2.99.3), libxxf86vm1, psychtoolbox-3-common (= 3.0.11.20140816.dfsg1-1~nd60+1), psychtoolbox-3-lib (= 3.0.11.20140816.dfsg1-1~nd60+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_3.0.11.20140816.dfsg1-1~nd60+1_amd64.deb Size: 924502 SHA256: 0e2928751f2af9181dfc11719d41a9a0fe07970d3bff9bc835207426bfb1f674 SHA1: 703df237c0c8e61c6ead40cf4ef4ae8ad50a7a96 MD5sum: 30e84cbcd8b38685a46994e19929601d 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: 1.8.1-3~squeeze.nd1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 4124 Depends: libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libqtcore4 (>= 4:4.5.3), libqtgui4 (>= 4:4.5.3), libstdc++6 (>= 4.4.0), libvtk5.4, mitools (= 1.8.1-3~squeeze.nd1), 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_1.8.1-3~squeeze.nd1_amd64.deb Size: 1572226 SHA256: 5288e874586283f8d6aaec5cef7bdaae4d52fc332a02a17f073a3bb29d510fef SHA1: f004635ce76504339443399b17161a8f66e44a7d MD5sum: 2c6a128c6f8a99ac4638dde70657fe69 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: openelectrophy Version: 0.0.svn143-1~squeeze.nd1 Architecture: all Maintainer: Experimental Psychology Maintainers Installed-Size: 92 Depends: python, python-pyssdh (= 0.0.svn143-1~squeeze.nd1) Homepage: http://neuralensemble.org/trac/OpenElectrophy Priority: extra Section: science Filename: pool/main/o/openelectrophy/openelectrophy_0.0.svn143-1~squeeze.nd1_all.deb Size: 34368 SHA256: d3c29b416792bf1d8ca68eb2af7da3b0d60a8f0d836fa9d1d3b83cdd9329b878 SHA1: 1f8d2aca09d37c8e5efb01093a0e10909a862e38 MD5sum: 78bfb172b4686b3985ab9ee42929d028 Description: data analysis framework for intra- and extra-cellular recordings This software aims to simplify data and analysis sharing for intra- and extra-cellular recordings. It supports time frequency plots, spike detection, spike rate calculation, and analysis of phase locked signals. . Data handling and storage utilizes a MySQL database, allowing to handle large amounts of data easily and efficiently. Therefore, a MySQL server running locally or on a remote machine is required. . This package provides the OpenElectrophy GUI. Package: openmeeg-tools Source: openmeeg Version: 2.0.0.dfsg-4~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 520 Depends: neurodebian-popularity-contest, libatlas3gf-base, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libmatio0, libopenmeeg1, libstdc++6 (>= 4.4.0) Homepage: http://www-sop.inria.fr/odyssee/software/OpenMEEG/ Priority: extra Section: science Filename: pool/main/o/openmeeg/openmeeg-tools_2.0.0.dfsg-4~nd60+1_amd64.deb Size: 160108 SHA256: 36e1669a81c3cf91caa7f1a111fc7b5274322c0c12a0087f3e63ea9f2c8db211 SHA1: 4c4f1b920dabb766d943c921a8f163027ea636ec MD5sum: d86185d4604e60bd6e1739b072a97ca0 Description: openmeeg library -- command line tools OpenMEEG consists of state-of-the art solvers for forward problems in the field of MEG and EEG. Solvers are based on the symmetric Boundary Element method [Kybic et al, 2005], providing excellent accuracy, particularly for superficial cortical sources. OpenMEEG can compute four types of lead fields (EEG, MEG, Internal Potential and Electrical Impedence Tomography). . This package provides command line interface to openmeeg functionality. Package: opensesame Version: 0.27.4-2~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 27860 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-qt4, python-pygame (>= 1.8.1~), python-numpy (>= 1.3.0~), python-qscintilla2, gnome-icon-theme Recommends: python-serial (>= 2.3~), psychopy (>= 1.64.0), python-pyaudio (>= 0.2.4), python-imaging (>= 1.1.7), python-opengl (>= 3.0.1), expyriment (>= 0.5.2), ipython-qtconsole (>= 0.12), python-markdown Homepage: http://www.cogsci.nl/software/opensesame Priority: extra Section: science Filename: pool/main/o/opensesame/opensesame_0.27.4-2~nd60+1_all.deb Size: 25359350 SHA256: dbba687153ba896d7482fb34ddadc3ca406054482a3e51c1c1064df44592b50e SHA1: 4b4c620aa8d6d9a8062478242047ddae61cf52c3 MD5sum: 7263dad24d4c99c446242c5641ff039e Description: graphical experiment builder for the social sciences This graphical environment provides an easy to use, point-and-click interface for creating psychological experiments. In addition to a powerful sketchpad for creating visual stimuli, OpenSesame features a sampler and synthesizer for sound playback. For more complex tasks, OpenSesame supports Python scripting using the built-in editor with syntax highlighting. Package: openwalnut-modules Source: openwalnut Version: 1.2.5-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 14956 Depends: neurodebian-popularity-contest, libbiosig0, libboost-filesystem1.42.0 (>= 1.42.0-1), libboost-regex1.42.0 (>= 1.42.0-1), libboost-signals1.42.0 (>= 1.42.0-1), libboost-system1.42.0 (>= 1.42.0-1), libboost-thread1.42.0 (>= 1.42.0-1), libc6 (>= 2.3.2), libgcc1 (>= 1:4.1.1), libnifti2, libopenscenegraph65 (>= 2.8.3), libopenwalnut1, libstdc++6 (>= 4.4.0) Homepage: http://www.openwalnut.org Priority: extra Section: science Filename: pool/main/o/openwalnut/openwalnut-modules_1.2.5-1~nd60+1_amd64.deb Size: 4600784 SHA256: 2f40c34d0996a713f9f33da7e545d19f1d850c8e66618e122518506db671361d SHA1: af95980e31e9a9d0530bc4d728caa8bffa1a3c00 MD5sum: 5d672bdc766120c05b25329a45e3007b Description: Multi-modal medical and brain data visualization tool. 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: 1.2.5-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1880 Depends: neurodebian-popularity-contest, libboost-filesystem1.42.0 (>= 1.42.0-1), libboost-program-options1.42.0 (>= 1.42.0-1), libboost-regex1.42.0 (>= 1.42.0-1), libboost-system1.42.0 (>= 1.42.0-1), libboost-thread1.42.0 (>= 1.42.0-1), libc6 (>= 2.3.2), libgcc1 (>= 1:4.1.1), libopenscenegraph65 (>= 2.8.3), libopenwalnut1, libqt4-opengl (>= 4:4.6.0), libqt4-webkit (>= 4:4.6.0), libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.6.0), libstdc++6 (>= 4.4.0) Recommends: openwalnut-modules (= 1.2.5-1~nd60+1) Homepage: http://www.openwalnut.org Priority: extra Section: science Filename: pool/main/o/openwalnut/openwalnut-qt4_1.2.5-1~nd60+1_amd64.deb Size: 620588 SHA256: 3148c810c7ffd24925b8db91bae896c192ed425e5286b29497e78dc5a82bbb07 SHA1: 34a98e705432d9748aa92701959de64f34a5dcbd MD5sum: 530fabf2692265c557e7a32def12e20e Description: Multi-modal medical and brain data visualization tool. 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: packaging-tutorial Version: 0.8~nd0 Architecture: all Maintainer: Lucas Nussbaum Installed-Size: 1550 Priority: extra Section: doc Filename: pool/main/p/packaging-tutorial/packaging-tutorial_0.8~nd0_all.deb Size: 1488332 SHA256: 491bc5917f698fee06888998e8a295a6caac2950148bb160b457aff72437eadb SHA1: c5d75d04b01f681ead660ce8d8fe068ab887fba0 MD5sum: 8fbf7c362fd4091a78c50404eb694402 Description: introduction to Debian packaging This tutorial is an introduction to Debian packaging. It teaches prospective developers how to modify existing packages, how to create their own packages, and how to interact with the Debian community. In addition to the main tutorial, it includes three practical sessions on modifying the 'grep' package, and packaging the 'gnujump' game and a Java library. Package: psychopy Version: 1.77.02.dfsg-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10420 Depends: neurodebian-popularity-contest, python (>= 2.4), python-support (>= 0.90.0), python-pyglet | python-pygame, python-opengl, python-numpy, python-scipy, python-matplotlib, python-lxml, python-configobj Recommends: python-wxgtk2.8, python-pyglet, python-pygame, python-openpyxl, python-imaging, python-serial, python-pyo, libavbin0, libxxf86vm1, ipython Suggests: python-iolabs, python-pyxid Homepage: http://www.psychopy.org Priority: optional Section: science Filename: pool/main/p/psychopy/psychopy_1.77.02.dfsg-1~nd60+1_all.deb Size: 5822214 SHA256: cc90ee0d7e61f8ee47ceb0f7953f75b88e5d16027c287b8602cde447e22dffe0 SHA1: 338052015be649534fde26069a9307f7ae608936 MD5sum: ec0693d16907dcbe41334dc688b477f8 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: 2.5, 2.6 Package: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.11.20140816.dfsg1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 66416 Depends: neurodebian-popularity-contest Recommends: subversion Suggests: gnuplot Homepage: http://psychtoolbox.org Priority: extra Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.11.20140816.dfsg1-1~nd60+1_all.deb Size: 24807828 SHA256: e39c335c5e79de49d6cf30694e83c0559411bddb03f8faec0f540ab17f9acf9c SHA1: 20a146a2da7bab397f1a4d19c8f0ea19d59ae3ea MD5sum: 0e363156f5cdee286d9c528524534317 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: 3.0.11.20140816.dfsg1-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2720 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.11.20140816.dfsg1-1~nd60+1) Homepage: http://psychtoolbox.org Priority: extra Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.11.20140816.dfsg1-1~nd60+1_amd64.deb Size: 871172 SHA256: 077fe8abaec81eb897222b0771bc1d35f9ef9d3bf6d516e73ffbf0927a20866f SHA1: eb5e63fa72150f3b880ac2825f7d2a24a7f8535c MD5sum: f9fec6948e23fb9e98102ff3b5190904 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: 3.0.11.20140816.dfsg1-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 168 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libfontconfig1 (>= 2.8.0), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 4.1.1) Recommends: gstreamer0.10-plugins-base, gstreamer0.10-plugins-good, gstreamer0.10-plugins-bad, gstreamer0.10-plugins-ugly Homepage: http://psychtoolbox.org Priority: extra Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-lib_3.0.11.20140816.dfsg1-1~nd60+1_amd64.deb Size: 65622 SHA256: 803a03025807d3a2d2de5682d9f3a79983a1921868c3b2d1fc0aa9aabce30352 SHA1: 3ac98224c254875f6622e462de3cf017f85ea9f7 MD5sum: 21fc8cda8df18e9685b07d8e23b6baa2 Description: toolbox for vision research -- arch-specific parts Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains additional binaries (tools/dynamic libraries) used by both Octave and Matlab frontends. Package: python-biosig Source: biosig4c++ Version: 1.4.1-2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 228 Depends: neurodebian-popularity-contest, python (<< 2.7), python (>= 2.6), python-numpy (<< 1:1.5), python-numpy (>= 1:1.4.1), python-support (>= 0.90.0), libbiosig1, libc6 (>= 2.2.5), libcholmod1.7.1 (>= 1:3.4.0), libgcc1 (>= 1:4.1.1), libpython2.6 (>= 2.6), 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~nd60+1_amd64.deb Size: 54428 SHA256: 08014f8ec96a752fe7e34210e991eb0cff4dcddc790e0c6fc0c6d72cbee59a1e SHA1: c672ff4dc09fedcb1fb85f2d195817b2fefab4bd MD5sum: 3281f1d8f54b43b8e628d7ecc1987d5b Description: Python bindings for BioSig library This package provides Python bindings for BioSig library. Primary goal -- I/O interface to variety of biomedical file formats, including but not limited to SCP-ECG(EN1064), HL7aECG (FDA-XML), GDF, EDF. Package: python-brian Source: brian Version: 1.4.1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2928 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-brian-lib (>= 1.4.1-1~nd60+1), python-matplotlib (>= 0.90.1), python-numpy (>= 1.3.0), python-scipy (>= 0.7.0) Recommends: python-sympy Suggests: python-brian-doc, python-nose, python-cherrypy Homepage: http://www.briansimulator.org/ Priority: extra Section: python Filename: pool/main/b/brian/python-brian_1.4.1-1~nd60+1_all.deb Size: 549150 SHA256: 7bfcb7a7985cf0dfe9275f740e787da4d8e85ee7ba6efe2eb371a8687a87edac SHA1: e9ef9680ee45d34ce69580f27624acb3c68054dc MD5sum: 5323660aed6390b4afe8a2796faf81be Description: simulator for spiking neural networks Brian is a clock-driven simulator for spiking neural networks. It is designed with an emphasis on flexibility and extensibility, for rapid development and refinement of neural models. Neuron models are specified by sets of user-specified differential equations, threshold conditions and reset conditions (given as strings). The focus is primarily on networks of single compartment neuron models (e.g. leaky integrate-and-fire or Hodgkin-Huxley type neurons). Features include: - a system for specifying quantities with physical dimensions - exact numerical integration for linear differential equations - Euler, Runge-Kutta and exponential Euler integration for nonlinear differential equations - synaptic connections with delays - short-term and long-term plasticity (spike-timing dependent plasticity) - a library of standard model components, including integrate-and-fire equations, synapses and ionic currents - a toolbox for automatically fitting spiking neuron models to electrophysiological recordings Package: python-brian-doc Source: brian Version: 1.4.1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7944 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-brian Homepage: http://www.briansimulator.org/ Priority: extra Section: doc Filename: pool/main/b/brian/python-brian-doc_1.4.1-1~nd60+1_all.deb Size: 2229610 SHA256: 5b0b176d0cafcce11f2e11bd15f189ca65b4730c3a054b262240cd0297a9c4a5 SHA1: eda2074d4587d6e745bb99707b58e53bbdaf4b9d MD5sum: 025068ffaaff9e9a217fcae36ae17866 Description: simulator for spiking neural networks - documentation Brian is a clock-driven simulator for spiking neural networks. . This package provides user's manual (in HTML format), examples and demos. Package: python-brian-lib Source: brian Version: 1.4.1-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 156 Depends: neurodebian-popularity-contest, python (<< 2.7), python (>= 2.6), python-numpy (<< 1:1.5), python-numpy (>= 1:1.4.1), python-support (>= 0.90.0), libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.4.0) Homepage: http://www.briansimulator.org/ Priority: extra Section: python Filename: pool/main/b/brian/python-brian-lib_1.4.1-1~nd60+1_amd64.deb Size: 53744 SHA256: b552b823d34f7bd1e4bb0c7540f2bf8b1a0e50d978e113f1d475a1f55efc264c SHA1: 92dba2000a7382e6739f6b3b74b8a27c6c4535a4 MD5sum: 7e372f4eccd9c04cc4a39e92100e99b8 Description: simulator for spiking neural networks -- extensions Brian is a clock-driven simulator for spiking neural networks. . This package provides Python binary extensions. Package: python-cfflib Source: cfflib Version: 2.0.5-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 768 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: python2.6-cfflib Homepage: http://cmtk.org/cfflib Priority: extra Section: python Filename: pool/main/c/cfflib/python-cfflib_2.0.5-1~nd60+1_all.deb Size: 217692 SHA256: 89c8c15b49c321ab86c69d97c6eb00eb731b2bd699c40e38dc56f8eae505412c SHA1: 6bf2302a69863a6985783df190603edfb88b7417 MD5sum: 68cfd02459ffb3eca1787a8a7bb959d2 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-dicom Source: pydicom Version: 0.9.9-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1816 Depends: neurodebian-popularity-contest, python2.6, python (>= 2.6.6-3+squeeze3~), python (<< 2.7) 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~nd60+1_all.deb Size: 427630 SHA256: 1d8a7007b174a70b48edf61fdb8209d3f2450dd873ee5c71e68ebd6fdcfcdfc5 SHA1: 9841180dba813902005164e64bdf8e2bbeac3687 MD5sum: 793dcc6ac823d83ef034f184a3187d27 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: 0.6.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2664 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0), python-numpy, python-scipy, python-dipy-lib (>= 0.6.0-1~nd60+1) Recommends: python-matplotlib, python-vtk, python-nose, python-nibabel, python-tables Suggests: ipython Provides: python2.5-dipy, python2.6-dipy Homepage: http://nipy.org/dipy Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy_0.6.0-1~nd60+1_all.deb Size: 1588110 SHA256: 9eb8d1bab0a1ee3ae5ac4dfce7c5875f89953ee2e99ef5ca821dbb34fd56fa29 SHA1: 69f387ac620dc18a0d16b3e1bdffd3a29918e01a MD5sum: b1f0d0ee2604ea32c7198147f69e37da 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: 2.5, 2.6 Package: python-dipy-doc Source: dipy Version: 0.6.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5292 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-dipy Homepage: http://nipy.org/dipy Priority: extra Section: doc Filename: pool/main/d/dipy/python-dipy-doc_0.6.0-1~nd60+1_all.deb Size: 3590516 SHA256: 2197f8d32ff57b0e06f0139fc5c5ca9b74600fbaa7b88599436561980dd7dc5a SHA1: 9b9f5d025b20f58f0322befc29bad82c52d4e841 MD5sum: 8f9c00905cccb1bcebcb1570f18a03f9 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: 0.6.0-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1048 Depends: neurodebian-popularity-contest, python (<< 2.7), python (>= 2.6), python-support (>= 0.90.0), libc6 (>= 2.3) Provides: python2.6-dipy-lib Homepage: http://nipy.org/dipy Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy-lib_0.6.0-1~nd60+1_amd64.deb Size: 387752 SHA256: 14b369720d56273eed400a1a9f35ab3e4c22a48db7d15e921aba6104378035ed SHA1: c6597b9363bd172b9928d3cee100a06918fa5b33 MD5sum: 446cca812e26513661a3b53fb08ee7b9 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: 2.6 Package: python-freenect Source: libfreenect Version: 1:0.1.2+dfsg-6~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 156 Depends: neurodebian-popularity-contest, python (<< 2.7), python (>= 2.6), python-numpy (>= 1:1.4.1), python-numpy (<< 1:1.5), python-support (>= 0.90.0), libc6 (>= 2.2.5), libfreenect0.1 (= 1:0.1.2+dfsg-6~nd60+1) Suggests: python-matplotlib, python-opencv Provides: python2.6-freenect Homepage: http://openkinect.org/ Priority: extra Section: python Filename: pool/main/libf/libfreenect/python-freenect_0.1.2+dfsg-6~nd60+1_amd64.deb Size: 45196 SHA256: 12ba83fc06b85a25f78db0b9945a6879958343ad8bdc907df6948a246475a1dc SHA1: b26ae8a994e428d4d044f0f1a46ccf59a81ced19 MD5sum: e93fe6c9393690bc56b2a07610af4eed 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-isis Source: isis Version: 0.4.7-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4080 Depends: neurodebian-popularity-contest, libboost-date-time1.42.0 (>= 1.42.0-1), libboost-filesystem1.42.0 (>= 1.42.0-1), libboost-python1.42.0 (>= 1.42.0-1), libboost-regex1.42.0 (>= 1.42.0-1), libboost-system1.42.0 (>= 1.42.0-1), libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libisis-core0, liboil0.3 (>= 0.3.1), libpython2.6 (>= 2.6), libstdc++6 (>= 4.4.0), python (<< 2.7), python (>= 2.5), python-support (>= 0.90.0) Conflicts: isis-python Replaces: isis-python Homepage: https://github.com/isis-group Priority: extra Section: python Filename: pool/main/i/isis/python-isis_0.4.7-1~nd60+1_amd64.deb Size: 1006756 SHA256: 1f5f00628b929717cadc3e18c4ef6556ae94b6a4ddcaa8919b5af7408dfffa61 SHA1: 28ec192f4ecc1bdf31f2fe8f851e0ceffb714583 MD5sum: e836a64378d6cc7ea86b64349bac6101 Description: Python bindings for ISIS data I/O framework (development headers) This framework aids access of and conversion between various established neuro-imaging data formats, like Nifti, Analyze, DICOM and VISTA. ISIS is extensible with plugins to add support for additional data formats. Package: python-joblib Source: joblib Version: 0.7.1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 264 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0) Recommends: python-numpy, python-nose, python-simplejson Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python-joblib_0.7.1-1~nd60+1_all.deb Size: 54814 SHA256: 1aa1f1bfbc60a8f6461b66885a24c3b145f40236b728277e16e14b83e860218b SHA1: d1b33d5a7e11043a6e66e4d16a3f6e7682ddebab MD5sum: 81c39210727753d7f3bc7bfdd43b97c7 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. Package: python-lazyarray Source: lazyarray Version: 0.1.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 40 Depends: neurodebian-popularity-contest, python2.6 | python2.5, python (>= 2.6.6-3+squeeze3~), python (<< 2.7), python-numpy Homepage: http://bitbucket.org/apdavison/lazyarray/ Priority: optional Section: python Filename: pool/main/l/lazyarray/python-lazyarray_0.1.0-1~nd60+1_all.deb Size: 7430 SHA256: 4add14c7519849f9f98eba7976f7389e162a5cd8d03e6bc778c64a42536fa109 SHA1: 89e6fc5f690f0797b4cee2e135c7ee0a21ea8187 MD5sum: ef8002ce29ca25685369e74069640fc1 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-libsvm Source: libsvm Version: 3.0-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 76 Depends: neurodebian-popularity-contest, libsvm3 (= 3.0-1~nd60+1), python, python-support (>= 0.90.0) Provides: python2.5-libsvm, python2.6-libsvm Homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Priority: optional Section: python Filename: pool/main/libs/libsvm/python-libsvm_3.0-1~nd60+1_amd64.deb Size: 14320 SHA256: a6dc835a22138712e6097223f32260c5aaeb2294cb6816b2707e347aa7fd9bdf SHA1: 4b1da5056163fd2344050922fb48edfb096e8bc3 MD5sum: 8f88a87bc33cc934f87cc927dc96033f Description: Python interface for support vector machine library Python interface for the LIBSVM library using ctypes. This new python interface is provided since 2.91, and it is incompatible with the old one. Package: python-mdp Source: mdp Version: 3.3+git19-g4ec2f29-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1940 Depends: neurodebian-popularity-contest, python2.6 | python2.5, python (>= 2.6.6-3+squeeze3~), python (<< 2.7), python-numpy Recommends: python-scipy, python-libsvm, python-joblib, python-scikits-learn | python-sklearn, python-pp Suggests: python-py, shogun-python-modular Enhances: python-mvpa Homepage: http://mdp-toolkit.sourceforge.net/ Priority: optional Section: python Filename: pool/main/m/mdp/python-mdp_3.3+git19-g4ec2f29-1~nd60+1_all.deb Size: 501462 SHA256: 3cb46bf1ce42ed66b19d971e872102cb74cfe13f719baf5282478d4b4ce96f19 SHA1: 5ebc34c09d5bb043b561a10806ed65548131a71d MD5sum: 2c59bf734be38d2489b1da223f0a4675 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-mlpy Source: mlpy Version: 2.2.0~dfsg1-1~squeeze.nd1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 428 Depends: python (>= 2.4), python-support (>= 0.90.0), python2.6, python-numpy, python-mlpy-lib (>= 2.2.0~dfsg1-1~squeeze.nd1) Suggests: python-mvpa Provides: python2.5-mlpy, python2.6-mlpy Homepage: https://mlpy.fbk.eu/ Priority: optional Section: python Filename: pool/main/m/mlpy/python-mlpy_2.2.0~dfsg1-1~squeeze.nd1_all.deb Size: 58266 SHA256: 77f4b8e2129db61e00feaad3c1460a923975820c91e625dc4fff605039f14c7a SHA1: 878fa1b9c71726e276b82d462006a5a90c127ea6 MD5sum: 69d292f9dfb2f666d6a3542ddbe60dd3 Description: high-performance Python package for predictive modeling mlpy provides high level procedures that support, with few lines of code, the design of rich Data Analysis Protocols (DAPs) for preprocessing, clustering, predictive classification and feature selection. Methods are available for feature weighting and ranking, data resampling, error evaluation and experiment landscaping. . mlpy includes: SVM (Support Vector Machine), KNN (K Nearest Neighbor), FDA, SRDA, PDA, DLDA (Fisher, Spectral Regression, Penalized, Diagonal Linear Discriminant Analysis) for classification and feature weighting, I-RELIEF, DWT and FSSun for feature weighting, *RFE (Recursive Feature Elimination) and RFS (Recursive Forward Selection) for feature ranking, DWT, UWT, CWT (Discrete, Undecimated, Continuous Wavelet Transform), KNN imputing, DTW (Dynamic Time Warping), Hierarchical Clustering, k-medoids, Resampling Methods, Metric Functions, Canberra indicators. Python-Version: 2.5, 2.6 Package: python-mlpy-doc Source: mlpy Version: 2.2.0~dfsg1-1~squeeze.nd1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1136 Depends: libjs-jquery Suggests: python-mlpy Homepage: https://mlpy.fbk.eu/ Priority: optional Section: doc Filename: pool/main/m/mlpy/python-mlpy-doc_2.2.0~dfsg1-1~squeeze.nd1_all.deb Size: 480866 SHA256: a1a158d0318129c2b6ac767cf0385b266a45aeaa6a06a45fc5bf61d6a77ff9b5 SHA1: 0de7a2884bfd8de60215558a742d138d0d35f167 MD5sum: 676b76390bb77f41f7a1ee949b11e212 Description: documention and examples for mlpy mlpy provides high level procedures that support, with few lines of code, the design of rich Data Analysis Protocols (DAPs) for preprocessing, clustering, predictive classification and feature selection. Methods are available for feature weighting and ranking, data resampling, error evaluation and experiment landscaping. . This package provides user documentation for mlpy in various formats (HTML, PDF). Package: python-mlpy-lib Source: mlpy Version: 2.2.0~dfsg1-1~squeeze.nd1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 560 Depends: libc6 (>= 2.2.5), libgsl0ldbl (>= 1.9), python (<< 2.7), python (>= 2.5), python-support (>= 0.90.0), python-numpy Provides: python2.5-mlpy-lib, python2.6-mlpy-lib Homepage: https://mlpy.fbk.eu/ Priority: optional Section: python Filename: pool/main/m/mlpy/python-mlpy-lib_2.2.0~dfsg1-1~squeeze.nd1_amd64.deb Size: 139514 SHA256: 3647b82f5ebd3a2640f78d378d85e0be59934c5cf10d3e4e0a3c50a16af3ac57 SHA1: d44f8dec0b76d874cbdd5961b229f1789348796c MD5sum: 408f7cae4996611b999d4606d1d91e2f Description: low-level implementations and bindings for mlpy This is an add-on package for the mlpy providing compiled core functionality. Python-Version: 2.5, 2.6 Package: python-mpi4py Source: mpi4py Version: 1.2.2-1~pre1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2168 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libopenmpi1.3, python (<< 2.7), python (>= 2.5), python-support (>= 0.90.0) Recommends: openmpi-bin Suggests: python-numpy Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: python Filename: pool/main/m/mpi4py/python-mpi4py_1.2.2-1~pre1~nd60+1_amd64.deb Size: 735612 SHA256: 1e95654552543515e9b7252e6cd8f874be891bb712219afe7cbdbb24bcf1e9d8 SHA1: 2ea9d347d7f80c49551ccdfb2159dfa214f72ee6 MD5sum: b2bfb0589b3e98704d2085a9fd23f108 Description: bindings of the Message Passing Interface (MPI) standard MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). Package: python-mpi4py-dbg Source: mpi4py Version: 1.2.2-1~pre1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4060 Depends: neurodebian-popularity-contest, python-mpi4py (= 1.2.2-1~pre1~nd60+1) Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: python Filename: pool/main/m/mpi4py/python-mpi4py-dbg_1.2.2-1~pre1~nd60+1_amd64.deb Size: 1110324 SHA256: f63631366eb62128567b1fe5fd03215a216ca79f417fa89c9b39f7f9c9914834 SHA1: 1fd2a1a14aa0ff2b4095f5eebf29119223ace126 MD5sum: c33fbf642c2d917954adb4bb6d0b5833 Description: bindings of the MPI standard -- debug symbols MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). . This package provides debug symbols. Package: python-mpi4py-doc Source: mpi4py Version: 1.2.2-1~pre1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 272 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-mpi4py Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: python Filename: pool/main/m/mpi4py/python-mpi4py-doc_1.2.2-1~pre1~nd60+1_all.deb Size: 54806 SHA256: 1b60db1309827d5c6ca4de2674c4133a7fe851d1fcc86d6a5d13043ed75c76a8 SHA1: cedce687642d97f89416079719540eedd3c926a1 MD5sum: 8365de41874844b3114055398c97d734 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-mvpa Source: pymvpa Version: 0.4.8-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4104 Depends: neurodebian-popularity-contest, python (>= 2.5), python-numpy (<< 1:1.5), python-numpy (>= 1:1.4.1), python-support (>= 0.90.0), python2.6, python-mvpa-lib (>= 0.4.8-1~nd60+1) Recommends: python-nifti, python-psyco, python-mdp, python-scipy, shogun-python-modular, python-pywt, python-matplotlib, python-reportlab Suggests: fslview, fsl, python-nose, python-lxml, python-openopt, python-rpy, python-mvpa-doc Provides: python2.5-mvpa, python2.6-mvpa Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa/python-mvpa_0.4.8-1~nd60+1_all.deb Size: 2205030 SHA256: f198dd1180f10001be495143f5370afdda65f56a1af0aec6d5000cb381b79589 SHA1: 94d71c82ffa6ee99040d6f6e2485567e477c9c45 MD5sum: 891f70fa8ff33dec72eeb01a687191c8 Description: multivariate pattern analysis with Python 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, GNB, 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. Python-Version: 2.5, 2.6 Package: python-mvpa-doc Source: pymvpa Version: 0.4.8-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 41276 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-mvpa Homepage: http://www.pymvpa.org Priority: optional Section: doc Filename: pool/main/p/pymvpa/python-mvpa-doc_0.4.8-1~nd60+1_all.deb Size: 8760270 SHA256: ba87abd25596d8843f515761d31fbf29a21cbbbe85a1fb00c1d7c237c273f0ea SHA1: ae46a082ba247faab1cf1ce73de7d97088d0560a MD5sum: 3ede16fa2a8698ddd6e116567f4d2862 Description: documentation and examples for PyMVPA PyMVPA documentation in various formats (HTML, TXT) including * User manual * Developer guidelines * API documentation * BibTeX references file . Additionally, all example scripts shipped with the PyMVPA sources are included. Package: python-mvpa-lib Source: pymvpa Version: 0.4.8-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 220 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libsvm3, python (<< 2.7), python (>= 2.5), python-numpy (<< 1:1.5), python-numpy (>= 1:1.4.1), python-support (>= 0.90.0) Provides: python2.5-mvpa-lib, python2.6-mvpa-lib Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa/python-mvpa-lib_0.4.8-1~nd60+1_amd64.deb Size: 71036 SHA256: 6e6924a579ae223ad05ae1387b058e170b3bfc10da986eab4424360525224ff9 SHA1: 0f9755e076c3fc659baf0cc647ca3f0e8dc67c68 MD5sum: bceb40e0777d1669f3328d93456fe30a Description: low-level implementations and bindings for PyMVPA This is an add-on package for the PyMVPA framework. It provides a low-level implementation of an SMLR classifier and custom Python bindings for the LIBSVM library. Python-Version: 2.5, 2.6 Package: python-mvpa2 Source: pymvpa2 Version: 2.2.0-3~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4956 Depends: neurodebian-popularity-contest, python, python-numpy (>= 1:1.4.1), python-numpy (<< 1:1.5), python-support (>= 0.90.0), python-mvpa2-lib (>= 2.2.0-3~nd60+1) Recommends: python-h5py, python-lxml, python-matplotlib, python-mdp, python-nibabel, python-psutil, python-psyco, python-pywt, python-reportlab, python-scipy, python-sklearn, shogun-python-modular, liblapack-dev Suggests: fslview, fsl, python-mvpa2-doc, python-nose, python-openopt, python-rpy2 Provides: python2.5-mvpa2, python2.6-mvpa2 Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2_2.2.0-3~nd60+1_all.deb Size: 2400402 SHA256: 165f294a1682846ce8ea6da16a20d16953a9d1b35e860a504a5689e71b0cc9fe SHA1: 51555aa7f509fd723d3ffb871f51948ba376b52b MD5sum: 6155e8e9dba329015abb646af812158b 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: 2.5, 2.6 Package: python-mvpa2-doc Source: pymvpa2 Version: 2.2.0-3~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 27024 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_2.2.0-3~nd60+1_all.deb Size: 5306840 SHA256: e0601943050249df5e939e2e66c08c8d3f7cb8e752461573f5c9751a4692c3e4 SHA1: afdbe2a1b3f4072292d89d489c5f75d28e8d9a42 MD5sum: 6cb2d8cb8bfa5945e8454ac8a77461d8 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: 2.2.0-3~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 128 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libsvm3, python (<< 2.7), python (>= 2.6), python-numpy (>= 1:1.4.1), python-numpy (<< 1:1.5), python-support (>= 0.90.0) Provides: python2.6-mvpa2-lib Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2-lib_2.2.0-3~nd60+1_amd64.deb Size: 48806 SHA256: cb33b3839bee42d1a0f9758583b8cbba81a267b43bb198bcf7571b2559d56793 SHA1: a651a5e45bc1ab7174858d95e322f1c2fcc7cee2 MD5sum: af5f4236777bdc41aadeef0ec5692ae9 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: 2.6 Package: python-networkx Version: 1.4-2~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2672 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0) Recommends: python-numpy, python-scipy, python-pygraphviz | python-pydot, python-pkg-resources, python-matplotlib, python-yaml Homepage: http://networkx.lanl.gov/ Priority: optional Section: python Filename: pool/main/p/python-networkx/python-networkx_1.4-2~nd60+1_all.deb Size: 647278 SHA256: ad2839debf74b059def0e377f52e5b3fad23613603d2f69c61a6a7f59bfbd6b7 SHA1: ac9dd5bce62e8f0e1460bf9cff1b4655278cb7fb MD5sum: 88fcc837ad2b6e0c5bcf56df2802b09d Description: tool to create, manipulate and study complex networks NetworkX is a Python-based package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. . The structure of a graph or network is encoded in the edges (connections, links, ties, arcs, bonds) between nodes (vertices, sites, actors). If unqualified, by graph it's meant a simple undirected graph, i.e. no self-loops and no multiple edges are allowed. By a network it's usually meant a graph with weights (fields, properties) on nodes and/or edges. . The potential audience for NetworkX includes: mathematicians, physicists, biologists, computer scientists, social scientists. Package: python-networkx-doc Source: python-networkx Version: 1.4-2~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15788 Depends: neurodebian-popularity-contest Homepage: http://networkx.lanl.gov/ Priority: optional Section: doc Filename: pool/main/p/python-networkx/python-networkx-doc_1.4-2~nd60+1_all.deb Size: 6169452 SHA256: c55591f29b87d1772fdf11a511fee43512b88d27dbdb99b0083c2d131b8ffdd6 SHA1: 15e7a5d65dfdb7ebc585a56a55441a4240644b2b MD5sum: feabea6baf7cf83997120652132961f9 Description: tool to create, manipulate and study complex networks - documentation NetworkX is a Python-based package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. . The structure of a graph or network is encoded in the edges (connections, links, ties, arcs, bonds) between nodes (vertices, sites, actors). If unqualified, by graph it's meant a simple undirected graph, i.e. no self-loops and no multiple edges are allowed. By a network it's usually meant a graph with weights (fields, properties) on nodes and/or edges. . The potential audience for NetworkX includes: mathematicians, physicists, biologists, computer scientists, social scientists. . This package contains documentation for NetworkX. Package: python-neuroshare Version: 0.8.5-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 136 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), python (<< 2.7), python (>= 2.5), python-numpy (>= 1:1.4.1), python-numpy (<< 1:1.5), python-support (>= 0.90.0) Homepage: http://www.g-node.org/neuroshare-tools Priority: extra Section: python Filename: pool/main/p/python-neuroshare/python-neuroshare_0.8.5-1~nd60+1_amd64.deb Size: 24108 SHA256: bd17690121c914e069968a2a269fbd92dd62b7937f4616481e80c75bd872622c SHA1: 06cc058e2a49b5bd5b9cc1b50328f3fe4d289153 MD5sum: b209630748753c59fac3c50b5d4d443f 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. Python-Version: 2.5, 2.6 Package: python-nibabel Source: nibabel Version: 1.3.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4472 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0), python-numpy, python-scipy Recommends: python-dicom, python-fuse Suggests: python-nibabel-doc Provides: python2.5-nibabel, python2.6-nibabel Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python-nibabel_1.3.0-1~nd60+1_all.deb Size: 1826262 SHA256: c5ee3704ec4ca7ca29f95fca7479075ca22445d97a266158222b19c4dc9a8748 SHA1: d66bd84119483cd35964b0196695fecd62e27fad MD5sum: d9bf1352db30bef15f81c8c5f2d8afc2 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 Python-Version: 2.5, 2.6 Package: python-nibabel-doc Source: nibabel Version: 1.3.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2848 Depends: neurodebian-popularity-contest, libjs-jquery Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: doc Filename: pool/main/n/nibabel/python-nibabel-doc_1.3.0-1~nd60+1_all.deb Size: 421236 SHA256: f4e57f595eef13d0a9354ed348287fe3875db678052cf0c1d003837908be241c SHA1: ae1b66d954bc4b56a923e3167b95d77958441e22 MD5sum: 691d3184e3d28e7b47d609f57e5ffa15 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-nibabel-snapshot Source: nibabel-snapshot Version: 1.0.0.dev+137+gf1c6-1~squeeze.nd1 Architecture: all Maintainer: Michael Hanke Installed-Size: 964 Depends: python (>= 2.5), python-support (>= 0.90.0), python-numpy, libjs-jquery, python-scipy Conflicts: python-nibabel Provides: python2.5-nibabel-snapshot, python2.6-nibabel-snapshot Homepage: http://nipy.sourceforge.net/nibabel Priority: optional Section: python Filename: pool/main/n/nibabel-snapshot/python-nibabel-snapshot_1.0.0.dev+137+gf1c6-1~squeeze.nd1_all.deb Size: 469788 SHA256: 88f8f2603bab6606985a137433460486b70e5765b08eba1ca81b8dccd3cfe96f SHA1: 12bd934e7cec2d24b9aec58fd66b592b9b4be485 MD5sum: feea254498444cc7f9827456091e83dc Description: Python bindings to various neuroimaging data formats Currently supported formats are: . * ANALYZE (including SPM2 and SPM99 variants) * MINC * NIfTI * PAR/REC . This package also provides a commandline tool for conversion of PAR/REC to NIfTI images. Python-Version: 2.5, 2.6 Package: python-nifti Source: pynifti Version: 0.20100607.1-4~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1456 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libnifti2, python (<< 2.7), python (>= 2.5), python-support (>= 0.90.0), python2.6, python-numpy, libjs-jquery Provides: python2.5-nifti, python2.6-nifti Homepage: http://niftilib.sourceforge.net/pynifti/ Priority: optional Section: python Filename: pool/main/p/pynifti/python-nifti_0.20100607.1-4~nd60+1_amd64.deb Size: 372612 SHA256: e2924523db3de945b1c5cc4b0ee97ffd49e4eab60e2f8e205b042f67862b03d2 SHA1: 57548c9b59dd789a30c701d5880567d219f76256 MD5sum: 5ce0b6eb7d9e9730bd8317f034ea7898 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: 2.5, 2.6 Package: python-nipy Source: nipy Version: 0.3.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3884 Depends: neurodebian-popularity-contest, python (>= 2.5), python-numpy (<< 1:1.5), python-numpy (>= 1:1.4.1), python-support (>= 0.90.0), python-scipy, python-nibabel, python-nipy-lib (>= 0.3.0-1~nd60+1) Recommends: python-matplotlib, mayavi2, python-sympy Suggests: python-mvpa Provides: python2.5-nipy, python2.6-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: python Filename: pool/main/n/nipy/python-nipy_0.3.0-1~nd60+1_all.deb Size: 785648 SHA256: ff3374e0c68a47627c9d4eff58f4d74a6f17c92d1f5d257ada5084555b803499 SHA1: e73f35916991f188a27d520ea013a39d00778469 MD5sum: e190b5654ab64516ee72673140282acf 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: 2.5, 2.6 Package: python-nipy-doc Source: nipy Version: 0.3.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10312 Depends: neurodebian-popularity-contest, libjs-jquery Recommends: python-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: doc Filename: pool/main/n/nipy/python-nipy-doc_0.3.0-1~nd60+1_all.deb Size: 2816524 SHA256: 0594fb03db5ad7836f6ebab64e911e527573127f7f177405ccea1004fca42509 SHA1: 0a882893920d6c15717ab1303b940dbbf94ec414 MD5sum: aabe73c4d16c93426012fb2436bcabeb 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: 0.3.0-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4912 Depends: neurodebian-popularity-contest, libatlas3gf-base, libc6 (>= 2.3), python (<< 2.7), python (>= 2.5), python-numpy (<< 1:1.5), python-numpy (>= 1:1.4.1), python-support (>= 0.90.0) Provides: python2.5-nipy-lib, python2.6-nipy-lib Homepage: http://neuroimaging.scipy.org Priority: extra Section: python Filename: pool/main/n/nipy/python-nipy-lib_0.3.0-1~nd60+1_amd64.deb Size: 1585798 SHA256: c232fd49e30443e1a2fe21e6ca89f29c2a17bebfa990b35d185bd1cfa3902523 SHA1: b843aea4c3667a8904d9b12f95b07443b1a8adb6 MD5sum: 28140f2dfd84e10769fc5a359667d516 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: 2.5, 2.6 Package: python-nipy-lib-dbg Source: nipy Version: 0.3.0-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5140 Depends: neurodebian-popularity-contest, libatlas3gf-base, libc6 (>= 2.3), python (<< 2.7), python (>= 2.5), python-numpy (<< 1:1.5), python-numpy (>= 1:1.4.1), python-support (>= 0.90.0), python-nipy-lib (= 0.3.0-1~nd60+1) Provides: python2.5-nipy-lib-dbg, python2.6-nipy-lib-dbg Homepage: http://neuroimaging.scipy.org Priority: extra Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbg_0.3.0-1~nd60+1_amd64.deb Size: 1733590 SHA256: 12917c0659aa2eedd66b94f9108708ae350a761fac28bc59759cbd61b28f4425 SHA1: d976858dd810919e3e46dbce656c9c49513977a1 MD5sum: 19e8eaea1952fad245e1ae8795313c15 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: 2.5, 2.6 Package: python-nipype Source: nipype Version: 0.8-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3476 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-scipy, python-simplejson, python-traits (>= 4.0) | python-traits4, python-nibabel (>= 1.0.0~), python-networkx (>= 1.3), python-cfflib Recommends: ipython, python-nose, graphviz Suggests: fsl, afni, python-nipy, slicer, matlab-spm8, python-pyxnat Provides: python2.6-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: python Filename: pool/main/n/nipype/python-nipype_0.8-1~nd60+1_all.deb Size: 591934 SHA256: 6cea7e3e577d3a3c0d27ff9363a67b3bc7613b0c78b2a3ba11860f9503979c9e SHA1: 8d16af0a1626c60f3f3d7aff2cee9ad1bedfa357 MD5sum: 5d560e487696028d8467b648fd35df5d 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: 0.8-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16948 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: doc Filename: pool/main/n/nipype/python-nipype-doc_0.8-1~nd60+1_all.deb Size: 7724096 SHA256: 6d6e9de8cfd9cce6de435386d6c851530faf391e22bcb273e2b6e4f3fbb6655a SHA1: 70048349a4cdaf11ccad168385d2d8f193586024 MD5sum: 7b7cbb1b7e5f6d6cad414b6ff28ab9a5 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: 0.4-2~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9444 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-numpy, python-scipy Recommends: python-matplotlib, python-nose, python-nibabel, python-networkx Homepage: http://nipy.org/nitime Priority: extra Section: python Filename: pool/main/n/nitime/python-nitime_0.4-2~nd60+1_all.deb Size: 3908874 SHA256: 03bb69e85b0c60f62d7c56de8f7cfa9e05fc93746205fe87df6ef05a2aef914d SHA1: 599b2f49a8f7c78bdcbed469dbd4e81ee12cca1c MD5sum: 5ba3ac0c3d3a250dfdeaae5229b9f8fc 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: 0.4-2~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7124 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-nitime Homepage: http://nipy.org/nitime Priority: extra Section: doc Filename: pool/main/n/nitime/python-nitime-doc_0.4-2~nd60+1_all.deb Size: 5300740 SHA256: ef5d041daa508131e2dc3f7fd82ffdf1311a430e6921ee392f1fb850ed8589f8 SHA1: 8c01d570fd9eac4b59af7392e487017fcbf68aca MD5sum: 16390cff8be229413da22076a622ea8f 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-numexpr Source: numexpr Version: 1.4.2-1.2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 876 Depends: neurodebian-popularity-contest, python (<< 2.7), python (>= 2.5), python-numpy (<< 1:1.5), python-numpy (>= 1:1.4.1), python-support (>= 0.90.0), libc6 (>= 2.3.2) Homepage: http://code.google.com/p/numexpr/ Priority: optional Section: python Filename: pool/main/n/numexpr/python-numexpr_1.4.2-1.2~nd60+1_amd64.deb Size: 287428 SHA256: 2479ab03c21a1a26b4e0e89b20e37f3e79a4e41397866be79ac70b53b2786018 SHA1: cebd73496b8e889e2589dfb0038d09e712318cc1 MD5sum: c067d04c7e9f3ce5e48839e612a7ca63 Description: Numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It's the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. Package: python-openmeeg Source: openmeeg Version: 2.0.0.dfsg-4~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 552 Depends: neurodebian-popularity-contest, libatlas3gf-base, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libmatio0, libopenmeeg1, libpython2.6 (>= 2.6), libstdc++6 (>= 4.4.0), python (<< 2.7), python (>= 2.6), python-numpy (<< 1:1.5), python-numpy (>= 1:1.4.1), python-support (>= 0.90.0) Provides: python2.6-openmeeg Homepage: http://www-sop.inria.fr/odyssee/software/OpenMEEG/ Priority: extra Section: python Filename: pool/main/o/openmeeg/python-openmeeg_2.0.0.dfsg-4~nd60+1_amd64.deb Size: 161652 SHA256: ebcd27988383b455deae91309b9aa02defe8a9018a292593db5a1d830138a983 SHA1: 9022525a78dfd024c82996297e2a24e7b993521b MD5sum: c9702887e4a43a5014c19cd781360e8f Description: openmeeg library -- Python bindings OpenMEEG consists of state-of-the art solvers for forward problems in the field of MEG and EEG. Solvers are based on the symmetric Boundary Element method [Kybic et al, 2005], providing excellent accuracy, particularly for superficial cortical sources. OpenMEEG can compute four types of lead fields (EEG, MEG, Internal Potential and Electrical Impedence Tomography). . This package provides Python bindings for OpenMEEG library. Python-Version: 2.6 Package: python-openopt Source: openopt Version: 0.38+svn1589-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1612 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: python2.5-openopt, python2.6-openopt Homepage: http://www.openopt.org Priority: extra Section: python Filename: pool/main/o/openopt/python-openopt_0.38+svn1589-1~nd60+1_all.deb Size: 245078 SHA256: 99d7232ca419c672cc667708687c3347fa7683e431d22124840bd2d6f70c02ae SHA1: e7209294307c6d27e9b1983f7362a6afe45b934b MD5sum: bedd41cecd50b21a5d02c1db1d0a2767 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: 2.5, 2.6 Package: python-openpyxl Source: openpyxl Version: 1.7.0+ds1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 628 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0) Recommends: python-nose, python-pil, python-imaging Homepage: http://bitbucket.org/ericgazoni/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python-openpyxl_1.7.0+ds1-1~nd60+1_all.deb Size: 92724 SHA256: 62d2ca02bae433283a9c08f1b35d670f6cb90804c3e73d07a55cb09adc0e4dec SHA1: b8d0c6b4399a833690c4fd873625285914580cff MD5sum: a85a039f92ae675bf6edf6bca93c42d0 Description: module to read/write OpenXML xlsx/xlsm files Openpyxl is a pure Python module to read/write Excel 2007 (OpenXML) xlsx/xlsm files. Package: python-pandas Source: pandas Version: 0.7.3-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2220 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0), python-numpy, python-dateutil, python-pandas-lib (>= 0.7.3-1~nd60+1) Recommends: python-scipy, python-matplotlib, python-tables, python-tz, python-xlrd, python-scikits.statsmodels, python-openpyxl, python-xlwt Suggests: python-pandas-doc Provides: python2.5-pandas, python2.6-pandas Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas_0.7.3-1~nd60+1_all.deb Size: 460866 SHA256: ee9fa4862c1988c184069c02ff59b90d4c4751c1cd0d9185eed4030842cc7072 SHA1: a49274e19f474958baf2e0fe8e39438f169fb6f1 MD5sum: 307fb7d696545ea68a70c3ef2f5836c6 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 Package: python-pandas-lib Source: pandas Version: 0.7.3-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3336 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), python (<< 2.7), python (>= 2.5), python-numpy (<< 1:1.5), python-numpy (>= 1:1.4.1), python-support (>= 0.90.0) Provides: python2.5-pandas-lib, python2.6-pandas-lib Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas-lib_0.7.3-1~nd60+1_amd64.deb Size: 1212220 SHA256: f07b336073537f6d02f02869b165788d9332cdf958b13f1cd8baf5562afa3bb5 SHA1: d7198fcf314192d04940891a2e62b8082cfb44d8 MD5sum: 241838be82aaca3342211db25284dba1 Description: low-level implementations and bindings for pandas This is an add-on package for python-pandas providing architecture-dependent extensions. Python-Version: 2.5, 2.6 Package: python-pp Source: parallelpython Version: 1.6.2-2~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 176 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~nd60+1_all.deb Size: 34268 SHA256: 95db9f990c816ce3022a421f93ffd3f0bf55ad5a72f2ef9e97473d96a903868d SHA1: 85c637d5c9719b75bb0e9e1f411d22635f9e15f2 MD5sum: 0bcf4b371060bd185ac604c4ebc65dc8 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: 2.5, 2.6 Package: python-pprocess Source: pprocess Version: 0.5-1+nd0~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 892 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~nd60+1_all.deb Size: 108524 SHA256: 5cd48b0f3b53deca43ccc2505cd2d71fef3fbc9ab6c09b2ca2c4fa461d96ba82 SHA1: e2878286c617c01706519eb49f8d2e92ba1807ea MD5sum: 8faaf0ec5f452db2c2f86f8b8fcdd686 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: 2.5, 2.6 Package: python-pyentropy Source: pyentropy Version: 0.4.1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 108 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0), python-numpy (>= 1.3) Recommends: python-scipy Suggests: python-nose Provides: python2.5-pyentropy, python2.6-pyentropy Homepage: http://code.google.com/p/pyentropy Priority: extra Section: python Filename: pool/main/p/pyentropy/python-pyentropy_0.4.1-1~nd60+1_all.deb Size: 21332 SHA256: 6175773981eb53152667c5a08a77b4e4a419bbc59537f6d2b307d56b7478e881 SHA1: 332090c698b49a4bde76a7c084042976322f6fde MD5sum: ec77541c844fd6130c1abd2435b821e1 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: 2.5, 2.6 Package: python-pyepl Source: pyepl Version: 1.1.0+git12-g365f8e3-2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2244 Depends: neurodebian-popularity-contest, python2.6 | python2.5, python (>= 2.6.6-3+squeeze3~), python (<< 2.7), python-pyepl-common (= 1.1.0+git12-g365f8e3-2~nd60+1), python-numpy, python-imaging, python-pygame, python-pyode, python-opengl, ttf-dejavu, libasound2 (>> 1.0.18), libc6 (>= 2.3.2), libgcc1 (>= 1:4.1.1), libode1, libsamplerate0, libsndfile1 (>= 1.0.20), libstdc++6 (>= 4.4.0) Conflicts: python2.3-pyepl, python2.4-pyepl Replaces: python2.3-pyepl, python2.4-pyepl Provides: python2.5-pyepl, python2.6-pyepl Homepage: http://pyepl.sourceforge.net/ Priority: optional Section: python Filename: pool/main/p/pyepl/python-pyepl_1.1.0+git12-g365f8e3-2~nd60+1_amd64.deb Size: 602386 SHA256: e3653cdcae2f46abb00b409910d717fd264b0553078f384f5079f162b89549c8 SHA1: 4a9ed3fef4d9ba26f7edb5a129df15ab08ef92f4 MD5sum: 71a9db4860b682511b637438a392975d 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~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 820 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~nd60+1_all.deb Size: 818240 SHA256: aa078634165cff6cbc30aed0183e65dc88a10e2b51f77d408aea07c5d1ffdb4d SHA1: 8ea2b7304ede0ac64651dd3446700ec0ff6c9535 MD5sum: 8a1fcedb740e4809264ad2025fa40abe 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-pyglet Source: pyglet Version: 1.1.4.dfsg-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4356 Depends: neurodebian-popularity-contest, python (>= 2.4), python-support (>= 0.90.0), python-ctypes | python (>= 2.5), libgtk2.0-0, libgl1 | libgl1-mesa-swx11, libglu1 | libglu1-mesa Recommends: libasound2 | libopenal1 Provides: python2.5-pyglet, python2.6-pyglet Homepage: http://www.pyglet.org Priority: optional Section: python Filename: pool/main/p/pyglet/python-pyglet_1.1.4.dfsg-1~nd60+1_all.deb Size: 972196 SHA256: 91b6b5b43bba43c419bc93e875ebba6ac09733899d7d34e944a5df43c3a33a6c SHA1: d9cb126e2761a5bd4b56f73542eac4dadea3f185 MD5sum: e3b5a0fd56d17deacf83460ebcea6737 Description: cross-platform windowing and multimedia library This library provides an object-oriented programming interface for developing games and other visually-rich applications with Python. pyglet has virtually no external dependencies. For most applications and game requirements, pyglet needs nothing else besides Python, simplifying distribution and installation. It also handles multiple windows and fully aware of multi-monitor setups. . pyglet might be seen as an alternative to PyGame. Package: python-pynn Source: pynn Version: 0.7.5-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1024 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~nd60+1_all.deb Size: 192132 SHA256: 72efbfcbfc8b305db0ea7961ac51024fddfe90cbe9244b7cd1696b4335f784cb SHA1: 2fc4485fce975e41b1c5f92f5448876f4249df7e MD5sum: e17530107f39bc5ff9dfc577f2bc239c 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-pyo Version: 0.6.6-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 10588 Depends: neurodebian-popularity-contest, python (>= 2.6.6-3+squeeze3~), libc6 (>= 2.2.5), liblo7 (>= 0.26~repack), libportaudio2, libportmidi0, libsndfile1 (>= 1.0.20), python2.6, python (<< 2.7) Recommends: python-tk, python-imaging-tk, python-wxgtk2.8 Homepage: http://code.google.com/p/pyo/ Priority: optional Section: python Filename: pool/main/p/python-pyo/python-pyo_0.6.6-1~nd60+1_amd64.deb Size: 4987574 SHA256: 4de6226020b449e1c5c86f5e82b40c32f115303cd5740a2a643bbf5824c2d56d SHA1: 1ff7e60013b4330c1d217aa8ae57852c72a4659a MD5sum: 3068ba1cd7fd084a724892277cc68e1a Description: Python module written in C to help digital signal processing script creation pyo is a Python module containing classes for a wide variety of audio signal processing types. With pyo, user will be able to include signal processing chains directly in Python scripts or projects, and to manipulate them in real time through the interpreter. Tools in pyo module offer primitives, like mathematical operations on audio signal, basic signal processing (filters, delays, synthesis generators, etc.), but also complex algorithms to create sound granulation and others creative audio manipulations. . pyo supports OSC protocol (Open Sound Control), to ease communications between softwares, and MIDI protocol, for generating sound events and controlling process parameters. . pyo allows creation of sophisticated signal processing chains with all the benefits of a mature, and wildly used, general programming language. Package: python-pyoptical Source: pyoptical Version: 0.2-1~squeeze.nd1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 72 Depends: python-serial Enhances: psychopy, python-pyepl Homepage: http://github.com/esc/pyoptical Priority: extra Section: python Filename: pool/main/p/pyoptical/python-pyoptical_0.2-1~squeeze.nd1_all.deb Size: 6956 SHA256: 66717fa53f6d283a3a697f969f32bc1c15f1467bbc26bb09ffceba7beb871644 SHA1: 3201dafeb370ade84db53fbe0ce85c1a0e57455c MD5sum: cf68976930753cdd2fde4b74529ba1b6 Description: python interface to the CRS 'OptiCAL' photometer The 'OptiCAL' is a photometer that is produced by Cambridge Research Systems (CRS). This device is a standard tool for gamma-calibration of display devices in vision research. This package provides a free-software replacement for the Windows-software distributed by the manufacturer that allows querying an OptiCAL via a serial connection. pyoptical can be used as a library for third-party applications or as a standalone command line tool. Python-Version: 2.5, 2.6 Package: python-pypsignifit Source: psignifit3 Version: 3.0~beta.20120611.1-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2400 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), python (<< 2.7), python (>= 2.5), 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~nd60+1_amd64.deb Size: 633056 SHA256: bf55e18dbe7e3c3178146e254b96c1d32964dfeb3a9ae5672deb94b3395d536b SHA1: 6634bb803bb27df922451b876816679ac59f4475 MD5sum: 73ed1860c00c6ae15559e1b934046f42 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-pyssdh Source: openelectrophy Version: 0.0.svn143-1~squeeze.nd1 Architecture: all Maintainer: Experimental Psychology Maintainers Installed-Size: 792 Depends: python-support (>= 0.90.0), python-numpy, python-scipy, python-qt4, python-mysqldb, python-matplotlib Recommends: g++ | c++-compiler, python-mdp Suggests: mysql-server Provides: python2.4-pyssdh, python2.5-pyssdh Homepage: http://neuralensemble.org/trac/OpenElectrophy Priority: extra Section: python Filename: pool/main/o/openelectrophy/python-pyssdh_0.0.svn143-1~squeeze.nd1_all.deb Size: 119516 SHA256: 1adaffa1132d6581ae599f8781f656a482fb586ecdaa789ab235068043a7f85f SHA1: bd3b2114258a93dbd1108eaea341f8541ff74a47 MD5sum: 1f942f44319f70c9cc3afcaac2e70796 Description: data analysis framework for intra- and extra-cellular recordings This software aims to simplify data and analysis sharing for intra- and extra-cellular recordings. It supports time frequency plots, spike detection, spike rate calculation, and analysis of phase locked signals. . Data handling and storage utilizes a MySQL database, allowing to handle large amounts of data easily and efficiently. Therefore, a MySQL server running locally or on a remote machine is required. . This package provides the OpenElectrophy Python module. Python-Version: 2.4, 2.5 Package: python-pyxid Source: pyxid Version: 1.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 80 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_all.deb Size: 11020 SHA256: 1031c0d69dd73cb38f3e0b826193211706a94bfd04da4287288418b257e54249 SHA1: 0f0d0524354e5d07eb89efcb11779d9acd9d57e2 MD5sum: 1f2a9bc07952b1f5c6b65fc5c092f75c 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-scikits-learn Source: scikit-learn Version: 0.14.1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 40 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_0.14.1-1~nd60+1_all.deb Size: 33344 SHA256: 9555211454632d3f07ce54d72c37cffacce41c1668c7805e7b053bb80c74b72c SHA1: b9b56eb91139b3940a3bb4c6b1bb3c3e77d3650d MD5sum: f30186aa1f88f8750ba2bd8bf8b6da8a 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: 0.4.2-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 120 Depends: neurodebian-popularity-contest, python-statsmodels, python (>= 2.5), python-support (>= 0.90.0) Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: oldlibs Filename: pool/main/s/statsmodels/python-scikits.statsmodels_0.4.2-1~nd60+1_all.deb Size: 10268 SHA256: 584640f2cdcd4739396ad91847b24d26b62e22bf4ee83aff86c59ef90288f67b SHA1: 2908e6aa9a99de3da575f40c400dde4c5b2159ee MD5sum: 4d1cc0505c5aaba51dd5dc8b5d6aba29 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-scipy Version: 0.7.2+dfsg1-1+squeeze1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 34072 Depends: neurodebian-popularity-contest, python (<< 2.7), python (>= 2.5), python-central (>= 0.6.11), python-numpy (<< 1:1.5), python-numpy (>= 1:1.4.1), libamd2.2.0 (>= 1:3.4.0), libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.3), libgcc1 (>= 1:4.1.1), libgfortran3 (>= 4.3), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, libstdc++6 (>= 4.1.1), libumfpack5.4.0 (>= 1:3.4.0) Recommends: g++ | c++-compiler Suggests: python-profiler Provides: python2.5-scipy, python2.6-scipy Homepage: http://www.scipy.org/ Priority: extra Section: python Filename: pool/main/p/python-scipy/python-scipy_0.7.2+dfsg1-1+squeeze1~nd60+1_amd64.deb Size: 10262024 SHA256: 45d8250d9bf06ca82564237b17cae4a6d6b984e2606dbf09ba08b206288d899d SHA1: 882951e15a24e3ccd437d69351874762e2328ded MD5sum: 35919734631cb03016ca81af98e054b6 Description: scientific tools for Python SciPy supplements the popular NumPy module (python-numpy package), gathering a variety of high level science and engineering modules together as a single package. . SciPy is a set of Open Source scientific and numeric tools for Python. It currently supports special functions, integration, ordinary differential equation (ODE) solvers, gradient optimization, genetic algorithms, parallel programming tools, an expression-to-C++ compiler for fast execution, and others. Python-Version: 2.5, 2.6 Package: python-scipy-dbg Source: python-scipy Version: 0.7.2+dfsg1-1+squeeze1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 78748 Depends: neurodebian-popularity-contest, python (<< 2.7), python (>= 2.5), python-numpy (<< 1:1.5), python-numpy (>= 1:1.4.1), python-dbg, libamd2.2.0 (>= 1:3.4.0), libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.3), libgcc1 (>= 1:4.1.1), libgfortran3 (>= 4.3), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, libstdc++6 (>= 4.1.1), libumfpack5.4.0 (>= 1:3.4.0), python-scipy (= 0.7.2+dfsg1-1+squeeze1~nd60+1), python-numpy-dbg (>= 1:1.2.0) Homepage: http://www.scipy.org/ Priority: extra Section: debug Filename: pool/main/p/python-scipy/python-scipy-dbg_0.7.2+dfsg1-1+squeeze1~nd60+1_amd64.deb Size: 24040396 SHA256: b2a9008c5a6ede0496542ddd7cb15b206a8413639ff04063080f8a3913d3bcc6 SHA1: 60cce05d7c4d1e69b021a3b9881331d650f8dd44 MD5sum: 555e9d369963b38d1e5bf33b12fe3711 Description: scientific tools for Python - debugging symbols SciPy supplements the popular NumPy module (python-numpy package), gathering a variety of high level science and engineering modules together as a single package. . SciPy is a set of Open Source scientific and numeric tools for Python. It currently supports special functions, integration, ordinary differential equation (ODE) solvers, gradient optimization, genetic algorithms, parallel programming tools, an expression-to-C++ compiler for fast execution, and others. . This package provides debugging symbols for python-scipy. Python-Version: 2.5, 2.6 Package: python-simplegeneric Source: simplegeneric Version: 0.7-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0) Provides: python2.5-simplegeneric, python2.6-simplegeneric Homepage: http://pypi.python.org/pypi/simplegeneric Priority: extra Section: python Filename: pool/main/s/simplegeneric/python-simplegeneric_0.7-1~nd60+1_all.deb Size: 9802 SHA256: a1f16f30724b88550716edbaacbaedaea6dbcc88a2a5e22f375896ba31e71c5e SHA1: af5b697130da85854bdb717319c7ae2aa719b9ae MD5sum: 34b6361e577be81e7cc33b0597a0b491 Description: Simple generic functions for Python The simplegeneric module lets you define simple single-dispatch generic functions, akin to Python's built-in generic functions like len(), iter() and so on. However, instead of using specially-named methods, these generic functions use simple lookup tables, akin to those used by e.g. pickle.dump() and other generic functions found in the Python standard library. Package: python-sklearn Source: scikit-learn Version: 0.14.1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4180 Depends: neurodebian-popularity-contest, python2.6, python (>= 2.6.6-3+squeeze3~), python (<< 2.7), python-numpy, python-scipy, python-sklearn-lib (>= 0.14.1-1~nd60+1), python-joblib (>= 0.4.5) Recommends: python-nose, python-matplotlib Suggests: python-dap, python-scikits-optimization, python-sklearn-doc, ipython Enhances: python-mdp, python-mvpa2 Breaks: python-scikits-learn (<< 0.9~) Replaces: python-scikits-learn (<< 0.9~) Provides: python2.6-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-sklearn_0.14.1-1~nd60+1_all.deb Size: 1103910 SHA256: 57184ab12678b753e5be6c9465c7f494366ab60a47107f8837e04ecec3e362e7 SHA1: 212b7d691784204e6246550f24163844ebb20803 MD5sum: 72e5f2c4eef373f1707df2d2eab3fabd 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: 0.14.1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 988 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-sklearn Conflicts: python-scikits-learn-doc Replaces: python-scikits-learn-doc Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: doc Filename: pool/main/s/scikit-learn/python-sklearn-doc_0.14.1-1~nd60+1_all.deb Size: 190020 SHA256: f0ef856d852c6dcd8d2875a732721c7c1ceb18abc908d24226317ceed1d35bf5 SHA1: 3909cafd286fe5a3382d617a3fbb23a580facf7a MD5sum: 1263b68bd7322970b50c84d1eea82390 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: 0.14.1-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4112 Depends: neurodebian-popularity-contest, libc6 (>= 2.3), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), python-numpy (>= 1:1.4.1), python-numpy (<< 1:1.5), python2.6, python (>= 2.6), python (<< 2.7) Conflicts: python-scikits-learn-lib Replaces: python-scikits-learn-lib Provides: python2.6-sklearn-lib Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-sklearn-lib_0.14.1-1~nd60+1_amd64.deb Size: 1561486 SHA256: 2248d57d965ec25733b52afad8c67144d5c768037679e6c8bcded99c84007872 SHA1: b068b03bc78417a9657fa3e20eab040cc2c7701e MD5sum: c6d0cdb1289938e119680a3a6516eafc Description: low-level implementations and bindings for scikit-learn This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. Package: python-sphinx Source: sphinx Version: 1.0.7-2~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4188 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~nd60+1_all.deb Size: 1260210 SHA256: 5a134abec0131a6dcc56b85cd9089230b68374cc7e4896d8806d7e6e2e9ee9a7 SHA1: 21654aba4316d6b6799f864a41f925c64adf8725 MD5sum: 3968ce5358f08a65453ba21236af6630 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-spyderlib Source: spyder Version: 2.2.5+dfsg-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5220 Depends: neurodebian-popularity-contest, python2.6, python (>= 2.6.6-3+squeeze3~), 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: python (>= 2.7), spyder (<< 2.0.12-1) Replaces: spyder (<< 2.0.12-1) Provides: python2.6-spyderlib Homepage: http://code.google.com/p/spyderlib/ Priority: extra Section: python Filename: pool/main/s/spyder/python-spyderlib_2.2.5+dfsg-1~nd60+1_all.deb Size: 1918622 SHA256: b439e88b540eb51a8ef2019dd63015fc252f43dd245edc757e17451743ef1cbb SHA1: bde98091c4f0c5302c4028207d345f068ddbfcfe MD5sum: bdb0d60a50ed127b07b70810092d9a9d 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-statsmodels Source: statsmodels Version: 0.4.2-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13468 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0), python-numpy, python-scipy, python-statsmodels-lib (>= 0.4.2-1~nd60+1) Recommends: python-pandas, python-matplotlib, python-nose, python-joblib Conflicts: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Replaces: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Provides: python2.5-statsmodels, python2.6-statsmodels Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: python Filename: pool/main/s/statsmodels/python-statsmodels_0.4.2-1~nd60+1_all.deb Size: 3088722 SHA256: 2ef04a8c3b25f5f53d2b4565225c266c1ffd56cd603870642d1200f237b322b1 SHA1: 7adb86840f38d4012a854a18baba7d99f400d5e8 MD5sum: 7f239aa8214f3c27853703ceb1882fb3 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: 0.4.2-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24480 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_0.4.2-1~nd60+1_all.deb Size: 4018734 SHA256: 1b4131d7dd9a9166d666a66a5440d88fd0bf0f43da13a3410570212767b4d08b SHA1: aae094e6e65be8a31faa8a40f3e042c7a9551dea MD5sum: 9b877a84be82b5a435144ba95a80a2c2 Description: documentation and examples for statsmodels This package contains HTML documentation and example scripts for python-statsmodels. Package: python-statsmodels-lib Source: statsmodels Version: 0.4.2-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 216 Depends: neurodebian-popularity-contest, python (<< 2.7), python (>= 2.6), python-numpy (<< 1:1.5), python-numpy (>= 1:1.4.1), python-support (>= 0.90.0), libc6 (>= 2.2.5) 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_0.4.2-1~nd60+1_amd64.deb Size: 81420 SHA256: 764f50c5e5bde9ac3a8bdea0c21fe3176f4b6e552007d41cce2399d26fa51a9e SHA1: dc567bf7b9dcd6a86f9067ec3381a05e7cfd4f69 MD5sum: c756ea289ca9f7e77077deafccd9dea7 Description: low-level implementations and bindings for statsmodels This package contains architecture dependent extensions for python-statsmodels. Package: python-stfio Source: stimfit Version: 0.13.5-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 828 Depends: neurodebian-popularity-contest, python (<< 2.7), python (>= 2.6.6-3+squeeze3~), python-numpy (>= 1:1.4.1), python-numpy (<< 1:1.5), python2.6, libbiosig1, libc6 (>= 2.2.5), libcholmod1.7.1 (>= 1:3.4.0), libgcc1 (>= 1:4.1.1), libhdf5-serial-1.8.4 | libhdf5-1.8.4, libpython2.6 (>= 2.6), libstdc++6 (>= 4.2.1) Recommends: python-matplotlib, python-scipy Provides: python2.6-stfio Homepage: http://www.stimfit.org Priority: optional Section: python Filename: pool/main/s/stimfit/python-stfio_0.13.5-1~nd60+1_amd64.deb Size: 272542 SHA256: 5de8fdd4fd78d95e16454379628030046e7cdae1d9af42d3b047fc2671e039b7 SHA1: ccdc6e236e4975389188d71e02a876d4d325ef17 MD5sum: 25702fcd499035720ea10ca6a125a244 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: 0.3+git15-gae6cbb1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 156 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-numpy, python-scipy, python-nibabel, python-imaging, mayavi2, python-argparse, ipython Recommends: mencoder Homepage: http://pysurfer.github.com Priority: extra Section: python Filename: pool/main/p/pysurfer/python-surfer_0.3+git15-gae6cbb1-1~nd60+1_all.deb Size: 28734 SHA256: 145a0c1b54cbaf35a29e42593256969b33e63bf3ecf76b7fbf094e691a9cd89b SHA1: 1355d1c6399e26dff01191cf4cf0d07a401a06e0 MD5sum: f82cecb6d7af2eaae4f1ac89cfc3918b 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: 2.6 Package: python-sympy Source: sympy Version: 0.6.7-1.1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9268 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0) Recommends: python-imaging, python-ctypes, ipython Homepage: http://code.google.com/p/sympy/ Priority: optional Section: python Filename: pool/main/s/sympy/python-sympy_0.6.7-1.1~nd60+1_all.deb Size: 1696348 SHA256: 90437808b931d5eb683327ab48a3ca8e81092be6f14d7f9cdf3f1fd8c8e6381d SHA1: 8ff9042d8752320997021155b1d7ee3620d11545 MD5sum: 38368c397ca1f942608ee78c4d6f1a8f Description: Computer Algebra System (CAS) in Python SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. Package: python-tornado Version: 2.1.0-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 956 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.2), python2.6 | python2.5, python (>= 2.6.6-3+squeeze3~), python-pycurl, ca-certificates Recommends: python-mysqldb Breaks: python (>= 2.7), python (<< 2.5) Homepage: http://www.tornadoweb.org/ Priority: optional Section: python Filename: pool/main/p/python-tornado/python-tornado_2.1.0-1~nd60+1_amd64.deb Size: 225954 SHA256: 0a295453901b45669afccbef90bba027e65fa13a84042761b1130fc0ac069dc4 SHA1: 5c725b5e188240d6bf8b28e1fd55a4fecbd9a627 MD5sum: f1cf96a36f77c6ec3396dbd65c57721f 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~cbp1~nd60+1 Architecture: amd64 Bugs: mailto:bugs@neuro.debian.net Maintainer: NeuroDebian Team Installed-Size: 2260 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), python (<< 2.7), python (>= 2.5), 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~cbp1~nd60+1_amd64.deb Size: 395748 SHA256: 6c6a3ed59cd7973dfaf6689fe5395076fb1da77c1c92b79cdf4c9415d8e25905 SHA1: e2b6c23a3d4a4694d869a418baad5487e7bccadc MD5sum: fa205dd19e625b383dde39e43d0c116f 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: Yaroslav Halchenko , Michael Hanke Vcs-Browser: http://git.debian.org/?p=pkg-exppsy/python-traits4.git Vcs-Git: git://git.debian.org/git/pkg-exppsy/python-traits4.git Package: python-tz Version: 2012c-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 168 Depends: neurodebian-popularity-contest, tzdata, python2.6 | python2.5, python (>= 2.6.6-3+squeeze3~), python (<< 2.7) Homepage: http://pypi.python.org/pypi/pytz/ Priority: optional Section: python Filename: pool/main/p/python-tz/python-tz_2012c-1~nd60+1_all.deb Size: 39072 SHA256: 7d18a9a34b49c4bcc4f5eb5f35289750011750934151448c2ad5a7ec0e388ed4 SHA1: 186b6469df5d330db8c74be4d2047a2de98fb302 MD5sum: 4f0ba7ddce40f9e16395817b27d2252c 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-workqueue Source: cctools Version: 3.4.2-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 412 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.4), python2.6 | python2.5, python (>= 2.6.6-3+squeeze3~), python (<< 2.7) Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: python Filename: pool/main/c/cctools/python-workqueue_3.4.2-1~nd60+1_amd64.deb Size: 135540 SHA256: 5c22935ed47008cd0769a9c5bc9276eb399f0faa62dfeb0b230b15ac7b9e50f8 SHA1: 8065d12b3cc7773023203e0d1e805702819a14aa MD5sum: f320908aa1def4ea59dbe172166b9377 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: python-zmq Source: pyzmq Version: 2.1.7-1~ndcustom1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1256 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libzmq1, python2.6 | python2.5, python (>= 2.6.6-3+squeeze3~) Breaks: python (>= 2.7), python (<< 2.5) Provides: python2.5-zmq, python2.6-zmq Homepage: http://www.zeromq.org/bindings:python Priority: optional Section: python Filename: pool/main/p/pyzmq/python-zmq_2.1.7-1~ndcustom1_amd64.deb Size: 375390 SHA256: 54fc5496d70f14c601f897380b2ce6ebf5976356897f9f157d52e165350444c7 SHA1: b41f1fe2b85d208a31f0095e7c3dc906b9ce3a51 MD5sum: 25bcbdfedbf0c746cd837c7af0f636db Description: Python bindings for 0MQ library Python bindings for 0MQ. 0MQ is a small, fast, and free software library that gives you message-passing concurrency for applications in most common languages. . The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more. Python-Version: 2.5, 2.6 Package: python-zmq-dbg Source: pyzmq Version: 2.1.7-1~ndcustom1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2620 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libzmq1, python2.6-dbg | python2.5-dbg, python-zmq (= 2.1.7-1~ndcustom1) Recommends: python-dbg Breaks: python-dbg (>= 2.7), python-dbg (<< 2.5) Homepage: http://www.zeromq.org/bindings:python Priority: extra Section: debug Filename: pool/main/p/pyzmq/python-zmq-dbg_2.1.7-1~ndcustom1_amd64.deb Size: 919620 SHA256: 7b0fac2966d5cc44fca0294c32088aea4cb36b92526030d6538b6ba45ff97818 SHA1: c1fba08f50252dde600abf00e61e79639f982385 MD5sum: 1b86c3d37c9e01081118c734edecb238 Description: Python bindings for 0MQ library - debugging files Python bindings for 0MQ. 0MQ is a small, fast, and free software library that gives you message-passing concurrency for applications in most common languages. . The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more. . This package contains the extension built for the Python debug interpreter. Package: python3-datalad Source: datalad Version: 0.17.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4665 Depends: neurodebian-popularity-contest, git-annex (>= 8.20200309~) | git-annex-standalone (>= 8.20200309~), patool, p7zip-full, python3 (>= 3.7), python3-annexremote, python3-distro, python3-distutils | libpython3-stdlib (<= 3.6.4~rc1-2), python3-fasteners (>= 0.14~), python3-gitlab, python3-humanize, python3-importlib-metadata | python3 (>> 3.10), python3-iso8601, python3-keyring, python3-keyrings.alt | python3-keyring (<= 8), python3-mock, python3-msgpack, python3-pil, python3-platformdirs, python3-requests (>= 1.2), python3-secretstorage, python3-simplejson, python3-six, python3-tqdm, python3-chardet, python3-packaging, python3:any Recommends: python3-boto, python3-exif, python3-html5lib, python3-httpretty, python3-jsmin, python3-libxmp, python3-lzma, python3-mutagen, python3-pytest, python3-pyperclip, python3-requests-ftp, python3-vcr, python3-whoosh Suggests: python3-duecredit, datalad-container, datalad-crawler, datalad-neuroimaging, python3-bs4, python3-numpy Breaks: datalad-container (<< 1.1.2) Homepage: https://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python3-datalad_0.17.5-1~nd+1_all.deb Size: 958872 SHA256: 1f3e16c16863bab40ba92405109ab26c78f19e3e86e2b38733a035221c4e7744 SHA1: 873da190eb5ee83576ff519c2d564e1f841abe5b MD5sum: 7a97a6f55929cc103dd60d7783a9565e Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package installs the module for Python 3, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends. Package: python3-dateutil Version: 2.0+dfsg1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 208 Depends: neurodebian-popularity-contest, python3 (>= 3.1.2-8~), tzdata Homepage: http://labix.org/python-dateutil Priority: optional Section: python Filename: pool/main/p/python3-dateutil/python3-dateutil_2.0+dfsg1-1~nd60+1_all.deb Size: 49690 SHA256: 368dd0f8ee38441729576c2586649a658776973a7207dff2e6978ce407ad18ad SHA1: d21c27d6fdd4e6397df3da9db21d35e4afdd268e MD5sum: 3a161bea3ea6f3277dfa3ffada23ac7b Description: powerful extensions to the standard datetime module in Python 3 The dateutil package extends the standard datetime module with: . * computing of relative deltas (next month, next year, next Monday, last week of month, etc); * computing of relative deltas between two given date and/or datetime objects * computing of dates based on very flexible recurrence rules, using a superset of the iCalendar specification. Parsing of RFC strings is supported as well. * generic parsing of dates in almost any string format * timezone (tzinfo) implementations for tzfile(5) format files (/etc/localtime, /usr/share/zoneinfo, etc), TZ environment string (in all known formats), iCalendar format files, given ranges (with help from relative deltas), local machine timezone, fixed offset timezone, UTC timezone * computing of Easter Sunday dates for any given year, using Western, Orthodox or Julian algorithms Package: python3-tz Source: python-tz Version: 2012c-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 148 Depends: neurodebian-popularity-contest, tzdata, python3 (>= 3.1.2-8~) Homepage: http://pypi.python.org/pypi/pytz/ Priority: optional Section: python Filename: pool/main/p/python-tz/python3-tz_2012c-1~nd60+1_all.deb Size: 31954 SHA256: 8369220a5c45e2bcc73f539094c49b6460edc87d5953223aba1b989895298ab7 SHA1: 48c692e73a79693f1c71693ad5fa6dc9123d541e MD5sum: 5a0dc5d19b334fa3515730c3e18fd4ce 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: qlandkarte Source: qlandkartegt Version: 0.16.0-1~squeeze.nd1 Architecture: all Maintainer: Michael Hanke Installed-Size: 32 Depends: qlandkartegt Homepage: http://www.qlandkarte.org Priority: optional Section: x11 Filename: pool/main/q/qlandkartegt/qlandkarte_0.16.0-1~squeeze.nd1_all.deb Size: 2600 SHA256: 971cfe8965e2ac770ab91d1ff374cd8a75c9c59d21a4a3a6c2fec65f0aa36f27 SHA1: 94b85cfadc8414252933de2d0bab789f82ea1161 MD5sum: 461d6da351ea7fcd3dbffa8c5a5bfcf3 Description: Transitional package for QLandkarteGT This is a transitional package for the QLandkarte to QLandkarteGT upgrade, and can be safely removed after the installation is complete. Package: qlandkartegt Version: 0.16.0-1~squeeze.nd1 Architecture: amd64 Maintainer: Michael Hanke Installed-Size: 4936 Depends: libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libgdal1-1.6.0, libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libproj0, libqt4-network (>= 4:4.5.3), libqt4-opengl (>= 4:4.5.3), libqt4-sql (>= 4:4.5.3), libqt4-xml (>= 4:4.5.3), libqtcore4 (>= 4:4.5.3), libqtgui4 (>= 4:4.5.3), libstdc++6 (>= 4.1.1), libx11-6 Recommends: gdal-bin, qlandkartegt-garmin Replaces: qlandkarte Provides: qlandkarte Homepage: http://www.qlandkarte.org Priority: optional Section: x11 Filename: pool/main/q/qlandkartegt/qlandkartegt_0.16.0-1~squeeze.nd1_amd64.deb Size: 2725310 SHA256: 66584656de7506b2ab1ce6ea74e8521aa5b7161477409e903939f8cb60c5c939 SHA1: 0eb2186d67c5db133ff959044148d3e30468856b MD5sum: 5adb9290b742bb724bc79cca7b665a2a Description: GPS mapping (GeoTiff and vector) and GPSr management This package provides a versatile tool for GPS maps in GeoTiff format as well as Garmin's img vector map format. QLandkarteGT is the successor of QLandkarte. Among various improvements (e.g. 2D/3D map rendering and reduced resource demands) the major difference is its device-independent architecture, which is not limited to Garmin devices anymore. Therefore, the package also does not include device drivers. Drivers for a number of Garmin devices are available from the qlandkartegt-garmin package. . Additionally, QLandkarteGT serves as a frontend to the GDAL tools, to make georeferencing of scanned maps feasible for users. In contrast to similar tools (e.g. QGis) its straightforward interface is especially suited for non-scientific users. Package: qlandkartegt-garmin Source: garmindev Version: 0.3.0-1~squeeze.nd1 Architecture: amd64 Maintainer: Michael Hanke Installed-Size: 532 Depends: libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.2.1), libusb-0.1-4 (>= 2:0.1.12) Homepage: http://www.qlandkarte.org Priority: optional Section: utils Filename: pool/main/g/garmindev/qlandkartegt-garmin_0.3.0-1~squeeze.nd1_amd64.deb Size: 176124 SHA256: 0e7889268a8b9d610d85045c31806e813f7474c7dbfa59f095d95b5c742d3587 SHA1: b24b383073c7824c5823bb8b21d687cdb94e955b MD5sum: 9dbf981042c5f4af1be1e5adad880cf1 Description: QLandkarteGT plugins to access Garmin devices A collection of plugins for QLandkarteGT to talk to various Garmin GPS devices, including GPSMap60CSx, GPSMap76, eTrexH, eTrexLegend and similar GPSr. Package: qnifti2dicom Source: nifti2dicom Version: 0.4.7-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3144 Depends: neurodebian-popularity-contest, libavcodec52 (>= 4:0.5.1-1) | libavcodec-extra-52 (>= 4:0.5.1-1), libavformat52 (>= 4:0.5.1-1) | libavformat-extra-52 (>= 4:0.5.1-1), libavutil49 (>= 4:0.5.1-1) | libavutil-extra-49 (>= 4:0.5.1-1), libc6 (>= 2.2.5), libexpat1 (>= 1.95.8), libfftw3-3, libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.1.1), libgdcm2.0 (>= 2.0.16), libgl1-mesa-glx | libgl1, libgl2ps0, libice6 (>= 1:1.0.0), libinsighttoolkit3.18, libjpeg62 (>= 6b1), libmysqlclient16 (>= 5.1.21-1), libopenmpi1.3, libpng12-0 (>= 1.2.13-4), libpq5 (>= 8.4~0cvs20090328), libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.5.3), libsm6, libstdc++6 (>= 4.4.0), libswscale0 (>= 4:0.5.1-1) | libswscale-extra-0 (>= 4:0.5.1-1), libtiff4, libvtk5.4, libvtk5.4-qt4, libx11-6, libxext6, libxft2 (>> 2.1.1), libxss1, libxt6, zlib1g (>= 1:1.1.4), nifti2dicom (= 0.4.7-1~nd60+1), nifti2dicom-data (= 0.4.7-1~nd60+1) Homepage: https://github.com/biolab-unige/nifti2dicom Priority: optional Section: science Filename: pool/main/n/nifti2dicom/qnifti2dicom_0.4.7-1~nd60+1_amd64.deb Size: 676560 SHA256: 910af1e4830aec544260404a299899bacee20b8c318ab2c34239546b4aa8277f SHA1: 85f8e17958a5247ef9a8a9ada23870ab2cbfd72a MD5sum: 3f106af1ce724ea4d082290453eae903 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: rclone Version: 1.41-1~ndall0 Architecture: amd64 Maintainer: Debian Go Packaging Team Installed-Size: 19633 Depends: libc6 (>= 2.3.2) Built-Using: go-md2man (= 1.0.8+ds-1), golang-1.10 (= 1.10.3-1), golang-bazil-fuse (= 0.0~git20160811.0.371fbbd-2), golang-github-a8m-tree (= 0.0~git20171213.cf42b1e-1), golang-github-abbot-go-http-auth (= 0.0~git20150714.0.46b9627-2), golang-github-aws-aws-sdk-go (= 1.12.79+dfsg-1), golang-github-azure-azure-sdk-for-go (= 10.3.0~beta-1), golang-github-azure-go-autorest (= 8.3.1-1), golang-github-coreos-bbolt (= 1.3.1-coreos.5-1), golang-github-davecgh-go-spew (= 1.1.0-4), golang-github-dgrijalva-jwt-go-v3 (= 3.1.0-2), golang-github-djherbis-times (= 1.0.1+git20170215.d25002f-1), golang-github-dropbox-dropbox-sdk-go-unofficial (= 4.1.0-1), golang-github-go-ini-ini (= 1.32.0-2), golang-github-google-go-querystring (= 0.0~git20170111.0.53e6ce1-4), golang-github-jlaffaye-ftp (= 0.0~git20170707.0.a05056b-1), golang-github-jmespath-go-jmespath (= 0.2.2-2), golang-github-kardianos-osext (= 0.0~git20170510.0.ae77be6-5), golang-github-kr-fs (= 0.0~git20131111.0.2788f0d-2), golang-github-mattn-go-runewidth (= 0.0.2+git20170510.3.97311d9-1), golang-github-ncw-go-acd (= 0.0~git20171120.887eb06-1), golang-github-unknwon-goconfig (= 0.0~git20160828.0.5aa4f8c-3), golang-github-vividcortex-ewma (= 0.0~git20160822.20.c595cd8-3), golang-google-cloud (= 0.9.0-5), golang-goprotobuf (= 0.0~git20170808.0.1909bc2-2) Homepage: https://github.com/ncw/rclone Priority: optional Section: net Filename: pool/main/r/rclone/rclone_1.41-1~ndall0_amd64.deb Size: 4810068 SHA256: b62160db730a2285a36444f0eb30a9f4c6a67957e03fff27de9cc3f8a7ecd689 SHA1: 68368135f21e5fa81d2904f9391054208697d5b3 MD5sum: f58523511ec0a1334697803e366f753e Description: rsync for commercial cloud storage Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers: . - Google Drive - Amazon S3 - Openstack Swift / Rackspace cloud files / Memset Memstore - Dropbox - Google Cloud Storage - Amazon Drive - Microsoft One Drive - Hubic - Backblaze B2 - Yandex Disk Package: rdfind Version: 1.3.0-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 112 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libnettle3, libstdc++6 (>= 4.4.0) Homepage: http://rdfind.pauldreik.se/ Priority: extra Section: utils Filename: pool/main/r/rdfind/rdfind_1.3.0-1~nd60+1_amd64.deb Size: 44690 SHA256: ab7a25d83800e3561b204bddec71b85cf3c80b4e5c5b07547a694b8952f078f8 SHA1: 8cce2ae8bea3a6c8d8d0a6cdd96141273036d95c MD5sum: 7e11c96b7ce11478dfd708c6144c2ecf Description: find duplicate files utility rdfind is a program to find duplicate files and optionally list, delete them or replace them with symlinks or hard links. It is a command line program written in c++, which has proven to be pretty quick compared to its alternatives. Package: sigviewer Version: 0.5.1+svn556-3~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1036 Depends: neurodebian-popularity-contest, libbiosig1, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libqt4-xml (>= 4:4.5.3), libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.6.1), libstdc++6 (>= 4.4.0) Homepage: http://sigviewer.sourceforge.net Priority: extra Section: science Filename: pool/main/s/sigviewer/sigviewer_0.5.1+svn556-3~nd60+1_amd64.deb Size: 436866 SHA256: c72585774e8f380db1cd6a2859c5ce69b08fa89c64428f3a874691bf2a545a83 SHA1: 286bc4d172f7ff5bf0261edffd52efed37916d2a MD5sum: 2e55a13c577ce0563d94e5577d3fda74 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: slicer Version: 3.4.0~svn10438-3~squeeze.nd1 Architecture: amd64 Maintainer: Debian Science Team Installed-Size: 122560 Depends: libslicer3 (= 3.4.0~svn10438-3~squeeze.nd1), libc6 (>= 2.3), libcurl3 (>= 7.16.2-1), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.1.1), libgdcm2.0 (>= 2.0.12), libgl1-mesa-glx | libgl1, libinsighttoolkit3.16, libkwwidgets1.0.0908, libopenigtlink1, libstdc++6 (>= 4.1.1), libvtk5.2, tcl8.5 (>= 8.5.0), vtk-tcl, slicer-data, itcl3, iwidgets4, tcllib, tcl8.5-kwwidgets Homepage: http://www.slicer.org/ Priority: optional Section: graphics Filename: pool/main/s/slicer/slicer_3.4.0~svn10438-3~squeeze.nd1_amd64.deb Size: 25430684 SHA256: 7c47578ed0936d7bd34dd0a01f93390d083e60886cbc32cf44bbc562d6347851 SHA1: 8cf5a31b640435e6776918f7884ffa2820d983c8 MD5sum: 1c8867846dab10523045eb035b8d70eb Description: software package for visualization and image analysis - main application Slicer is an application for computer scientists and clinical researchers. The platform provides functionality for segmentation, registration and three-dimensional visualization of multi-modal image data, as well as advanced image analysis algorithms for diffusion tensor imaging, functional magnetic resonance imaging and image-guided therapy. Standard image file formats are supported, and the application integrates interface capabilities to biomedical research software and image informatics frameworks. . 3D Slicer main application. Package: slicer-data Source: slicer Version: 3.4.0~svn10438-3~squeeze.nd1 Architecture: all Maintainer: Debian Science Team Installed-Size: 75656 Depends: tk8.5 | wish Homepage: http://www.slicer.org/ Priority: optional Section: doc Filename: pool/main/s/slicer/slicer-data_3.4.0~svn10438-3~squeeze.nd1_all.deb Size: 45850452 SHA256: c5a750d8b5ae619e7676d13bc9f8975e081771cfe9b6d534b000b54968903d3f SHA1: 34f83bdb09471100da1c6ea84b67a6064bf20708 MD5sum: 7470a7eb5cb992fb85799cd88960ff69 Description: software package for visualization and image analysis - share Slicer is an application for computer scientists and clinical researchers. The platform provides functionality for segmentation, registration and three-dimensional visualization of multi-modal image data, as well as advanced image analysis algorithms for diffusion tensor imaging, functional magnetic resonance imaging and image-guided therapy. Standard image file formats are supported, and the application integrates interface capabilities to biomedical research software and image informatics frameworks. . 3D Slicer data files. Package: spm8-common Source: spm8 Version: 8.5236~dfsg.1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 22600 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~nd60+1_all.deb Size: 10751120 SHA256: edf4a3d61bf83d8bec4f0fb5bb60570f4238ef7836fa65ca2c00a4a1c24794a5 SHA1: 5f8967a4207755e7cf49f057d346488f386f6db1 MD5sum: 6f40962059e9052f4be305139d6ca2ae 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~nd60+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 73316 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/s/spm8/spm8-data_8.5236~dfsg.1-1~nd60+1_all.deb Size: 52177442 SHA256: 3a34d2f608da68657c6c043c4ea77824ca21d3fd6503d76f16e6cf32d135a186 SHA1: 56a86366da728ba963aa34bcb7110872eaf3c62f MD5sum: 2d7e8e891ee5df39f30b16bf6469d8d8 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~nd60+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 9428 Depends: neurodebian-popularity-contest Priority: extra Section: doc Filename: pool/main/s/spm8/spm8-doc_8.5236~dfsg.1-1~nd60+1_all.deb Size: 8649014 SHA256: 908024bca0f06fb5bd66e91c9c36ce7713d6cc49b8750b74867d33ea3818913a SHA1: f66a9922270b62ef6443552d043af8db09a485cd MD5sum: 616c12c57fcf018d55bb7a490a1f29c6 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~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 148 Depends: neurodebian-popularity-contest, python, python-spyderlib (= 2.2.5+dfsg-1~nd60+1) Homepage: http://code.google.com/p/spyderlib/ Priority: extra Section: devel Filename: pool/main/s/spyder/spyder_2.2.5+dfsg-1~nd60+1_all.deb Size: 56612 SHA256: a115609b5e5bb69668583b879a45791bf684c2b77a6509885bb54abfc482e8ab SHA1: f860bb27c12388ff5e292ef145485a5a101bd0f8 MD5sum: fd02e024e050c9206de523f1cc895e38 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: stabilitycalc Version: 0.1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 148 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~nd60+1_all.deb Size: 28608 SHA256: 997379d03b4381e98ba743db58b918585f79a077ba7dbb726e745841a0ac402e SHA1: 1efb3b900d33eec54f3893e4affe87eda15bd8d2 MD5sum: 66d13f8fbd8d79e87fa99a0e8cab8cd0 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: 2.5, 2.6 Package: stimfit Version: 0.13.5-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2716 Depends: neurodebian-popularity-contest, libatlas3gf-base, libbiosig1, libc6 (>= 2.2.5), libcholmod1.7.1 (>= 1:3.4.0), libfftw3-3, libgcc1 (>= 1:4.1.1), libhdf5-serial-1.8.4 | libhdf5-1.8.4, libpython2.6 (>= 2.6), libstdc++6 (>= 4.4.0), libwxbase2.8-0 (>= 2.8.10.1), libwxgtk2.8-0 (>= 2.8.10.1), python (<< 2.6), python (>= 2.6.6-3+squeeze3~), python-numpy (>= 1:1.4.1), python-numpy (<< 1:1.5), 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_0.13.5-1~nd60+1_amd64.deb Size: 893890 SHA256: 135534062a5510d2a199f5611e75bfc34d8365824fb105d7e9c20f0afbb53a5b SHA1: c2af418731aec61203bbc57d0c878d07859e0e21 MD5sum: ccbeca00ef9c463173ea756af6a56c6b 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: 0.13.5-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 9776 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_0.13.5-1~nd60+1_amd64.deb Size: 3108174 SHA256: 01a28b9e63767f98d9dea66dc40eb448b5b25c609cd1825b9d5c0df19af9fcfc SHA1: 49c17aed703a10678ce9b14b488182d8b710e485 MD5sum: 81760c567e939fd02de91415f3240bd9 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. Package: svgtune Version: 0.1.0-2 Architecture: all Maintainer: Yaroslav Halchenko Installed-Size: 64 Depends: python, python-lxml Suggests: inkscape Homepage: http://github.com/yarikoptic/svgtune Priority: optional Section: graphics Filename: pool/main/s/svgtune/svgtune_0.1.0-2_all.deb Size: 6680 SHA256: 69b4df1e0b4c247673265c7f5bb2b2ffe2209d783617bf7f6eadce86633f80e1 SHA1: bec339e4453c35a05a616deef6769a6f2ad2d00d MD5sum: ef6797498477a73f930ad9bc0db3ba73 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: testkraut Version: 0.0.1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 488 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-numpy, libjs-underscore, libjs-jquery, python-argparse Recommends: strace, python-scipy, python-colorama, python-apt Homepage: https://github.com/neurodebian/testkraut Priority: extra Section: python Filename: pool/main/t/testkraut/testkraut_0.0.1-1~nd60+1_all.deb Size: 83952 SHA256: 40efa2a5611fae4d74c8eeb1479b11e7933783329f899b3c0f662f8e2e311934 SHA1: 8df8e81c8de52f71211c4eaaa0f7f67c17ceea68 MD5sum: a2fea0d776199a6bdb898550d8b1790b Description: test and evaluate heterogeneous data processing pipelines This is a framework for software testing. That being said, testkraut tries to minimize the overlap with the scopes of unit testing, regression testing, and continuous integration testing. Instead, it aims to complement these kinds of testing, and is able to re-use them, or can be integrated with them. . In a nutshell testkraut helps to facilitate statistical analysis of test results. In particular, it focuses on two main scenarios: . * Comparing results of a single (test) implementation across different or changing computational environments (think: different operating systems, different hardware, or the same machine before an after a software upgrade). * Comparing results of different (test) implementations generating similar output from identical input (think: performance of various signal detection algorithms). . While such things can be done using other available tools as well, testkraut aims to provide a lightweight, yet comprehensive description of a test run. Such a description allows for decoupling test result generation and analysis – opening up the opportunity to “crowd-source” software testing efforts, and aggregate results beyond the scope of a single project, lab, company, or site. Python-Version: 2.6 Package: ubuntu-keyring Version: 2010.+09.30~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Recommends: gpgv Priority: important Section: misc Filename: pool/main/u/ubuntu-keyring/ubuntu-keyring_2010.+09.30~nd60+1_all.deb Size: 11798 SHA256: 6cbcf7d81718e041431125e45215b746615d2012dc64a2a6c9d2a30e4826fed3 SHA1: a7ba0e713d1052a7aa26930c48dc4aaf6e97bbd1 MD5sum: cb5b41c6b935192df8432bce736f15b6 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: via-bin Source: via Version: 2.0.4-2~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 864 Depends: neurodebian-popularity-contest, lesstif2 (>= 1:0.94.4), libatlas3gf-base, libc6 (>= 2.7), libgsl0ldbl (>= 1.9), libice6 (>= 1:1.0.0), libpng12-0 (>= 1.2.13-4), libsm6, libvia2, libx11-6, libxext6, libxmu6, libxt6 Recommends: libvia-doc Conflicts: via, via-utils Replaces: via-utils Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: science Filename: pool/main/v/via/via-bin_2.0.4-2~nd60+1_amd64.deb Size: 183880 SHA256: 1c98e2f86a77f8b4099fddc1b392cebe603def2e4e2f818bd0cd9149fc47ee13 SHA1: a8e5189725da0933ce8c33e3e72590b4b2d07dc3 MD5sum: 5cdafc68dcb4367189b29398f4031c16 Description: tools for volumetric image analysis VIA is a volumetric image analysis suite for functional and structural (medical) images. The suite consists of different tools ranging from simple data handling over viewers to complex image transformation. . All tools operate on data in VISTA format. The package contains several converters from e.g. PNG, PGM or PNM to this data format and back. Package: vowpal-wabbit Version: 6.1-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 8220 Depends: neurodebian-popularity-contest, libboost-program-options1.42.0 (>= 1.42.0-1), libc6 (>= 2.3.2), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.4.0), zlib1g (>= 1:1.2.3.3.dfsg) Homepage: http://hunch.net/~vw/ Priority: optional Section: science Filename: pool/main/v/vowpal-wabbit/vowpal-wabbit_6.1-1~nd60+1_amd64.deb Size: 8070612 SHA256: 615e07385ea3e2941f1d2ba5927ac23fefcf752c35f6d63ca8e1e4489caf2823 SHA1: 25c1cdb6e7a513cd31aadccb5ce213c6e165f3c3 MD5sum: 11e2b87dc440aa47b3f9dbfd4920d74e Description: fast and scalable online machine learning algorithm Vowpal Wabbit is a fast online machine learning algorithm. The core algorithm is specialist gradient descent (GD) on a loss function (several are available). VW features: - flexible input data specification - speedy learning - scalability (bounded memory footprint, suitable for distributed computation) - feature pairing Package: voxbo Version: 1.8.5~svn1246-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 10232 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.4), libfontconfig1 (>= 2.8.0), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), libpng12-0 (>= 1.2.13-4), libqt4-network (>= 4:4.5.3), libqt4-qt3support (>= 4:4.5.3), libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.6.1), libstdc++6 (>= 4.4.0), libx11-6, libxext6, libxi6, libxrender1, zlib1g (>= 1:1.1.4) Suggests: mni-colin27-nifti, matlab-spm8 Homepage: http://www.voxbo.org Priority: extra Section: science Filename: pool/main/v/voxbo/voxbo_1.8.5~svn1246-1~nd60+1_amd64.deb Size: 3755250 SHA256: 6f047fe5ab19ee2e2b29920d0115d66b970d3ef7f754ae6a5f17ba9e183eb9dc SHA1: cda6f1fd7b08ab16003490f70b646eb7992f1d0e MD5sum: 88f0b88482f96d64165d908b90a9fbcf Description: processing, statistical analysis, and display of brain imaging data This is a toolkit for analysis of functional neuroimaging (chiefly fMRI) experiments and voxel-based lesion-behavior mapping. VoxBo supports the modified GLM (for autocorrelated data), as well as the standard GLM for non-autocorrelated data. The toolkit is designed to be interoperable with AFNI, FSL, SPM and others. Package: vrpn Version: 07.30+dfsg-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 388 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.4.0), libvrpn0 (= 07.30+dfsg-1~nd60+1), libvrpnserver0 (= 07.30+dfsg-1~nd60+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: utils Filename: pool/main/v/vrpn/vrpn_07.30+dfsg-1~nd60+1_amd64.deb Size: 111730 SHA256: 48e6e13d1ff2c3a13d8cb5c294d43b63db66c9d0e0e8296c503ffacbd63fbe14 SHA1: 4d8bdf60993dce0bde416332148a7db4b1227171 MD5sum: d13602030e5331380f5cbd52594c0d0d 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~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4036 Depends: neurodebian-popularity-contest, libvrpn0 (= 07.30+dfsg-1~nd60+1), libvrpnserver0 (= 07.30+dfsg-1~nd60+1), vrpn (= 07.30+dfsg-1~nd60+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: debug Filename: pool/main/v/vrpn/vrpn-dbg_07.30+dfsg-1~nd60+1_amd64.deb Size: 1246504 SHA256: 162847017c270c55be57a2cace0b6ac66bbdf855f3352d9684ee6852b835a149 SHA1: 89bfb8d8fc8bfa1fa3b2c761208e331f49a369f0 MD5sum: c0e0f51ede2dc6e0483d0d161ac37ace 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: xmhtml1 Source: xmhtml Version: 1.1.7-17~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 540 Depends: neurodebian-popularity-contest, lesstif2 (>= 1:0.94.4), libc6 (>= 2.7), libjpeg62 (>= 6b1), libpng12-0 (>= 1.2.13-4), libxpm4 Priority: optional Section: libs Filename: pool/main/x/xmhtml/xmhtml1_1.1.7-17~nd60+1_amd64.deb Size: 251608 SHA256: 014afabd39187878b9ddcb9c98c4ea6a16a7bb682840ea906d29954cdfa537ce SHA1: 39576516bd48074fabe3c9b8d1e731991f378f20 MD5sum: bd4bb2f5f333d559835464bf10926df0 Description: A Motif widget for display HTML 3.2 XmHTML is a high performance Motif Widget capable of displaying HTML 3.2 confirming text. Graphics support, lesstif compatibility and extensive documentation are amongst its many features. . This package provides the runtime shared library. The xmhtml-dev package provides the header files, and the static library. Package: xmhtml1-dev Source: xmhtml Version: 1.1.7-17~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1016 Depends: neurodebian-popularity-contest, xmhtml1, lesstif2-dev | libmotif-dev, libc6-dev Conflicts: xmhtml-dev Provides: xmhtml-dev Priority: optional Section: devel Filename: pool/main/x/xmhtml/xmhtml1-dev_1.1.7-17~nd60+1_amd64.deb Size: 340372 SHA256: a13d88726e5a917723caf6e32da384eaac5538897c099adb1ca2546a4ed39afc SHA1: e02d444e14ec0c156d3770c21f9e890f2478d2e1 MD5sum: abfcd4a26dd5ecbb9b99ff27eaa1cc4d Description: A Motif widget for display HTML 3.2 XmHTML is a high performance Motif Widget capable of displaying HTML 3.2 confirming text. Graphics support, lesstif compatibility and extensive documentation are amongst its many features. . This is the development kit, containing static libraries and header files necessary to build programs that use xmhtml. The runtime library is provided by the xmhtml package. Package: xppaut Version: 6.11b+1.dfsg-1~nd60+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 6612 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libx11-6 Homepage: http://www.math.pitt.edu/~bard/xpp/xpp.html Priority: optional Section: science Filename: pool/main/x/xppaut/xppaut_6.11b+1.dfsg-1~nd60+1_amd64.deb Size: 4192704 SHA256: b9637a23092f9d2b5e985f2c216da3cef0109fa4cafb0c2d9352a03a5be4d4cf SHA1: b35b9c99dd1dc3230e149feec1c4da53f7853b8c MD5sum: f263550e0e12f0f010bf5219761774c2 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. Package: youtube-dl Version: 2021.12.17-1~nd110+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5937 Depends: neurodebian-popularity-contest, python3-pkg-resources, python3:any Recommends: aria2 | wget | curl, ca-certificates, ffmpeg, mpv | mplayer, python3-pyxattr, rtmpdump, python3-pycryptodome Suggests: libfribidi-bin | bidiv, phantomjs Homepage: https://ytdl-org.github.io/youtube-dl/ Priority: optional Section: web Filename: pool/main/y/youtube-dl/youtube-dl_2021.12.17-1~nd110+1_all.deb Size: 1128692 SHA256: 75859d2f34a475fc0f199cd6d2b73e18c29cda44406530964890dcb790008eca SHA1: 09f85f2abc32eb5e9c2ccd6bfd1354ea332b6489 MD5sum: 6d04814be91bd9f85a7d3793ff2a2fb3 Description: downloader of videos from YouTube and other sites youtube-dl is a small command-line program to download videos from YouTube.com and other sites that don't provide direct links to the videos served. . youtube-dl allows the user, among other things, to choose a specific video quality to download (if available) or let the program automatically determine the best (or worst) quality video to grab. It supports downloading entire playlists and all videos from a given user. . Currently supported sites (or features of sites) are: . 1tv, 20min, 220.ro, 23video, 24video, 3qsdn, 3sat, 4tube, 56.com, 5min, 6play, 7plus, 8tracks, 91porn, 9c9media, 9gag, 9now.com.au, abc.net.au, abc.net.au:iview, abcnews, abcnews:video, abcotvs, abcotvs:clips, AcademicEarth:Course, acast, acast:channel, ADN, AdobeConnect, adobetv, adobetv:channel, adobetv:embed, adobetv:show, adobetv:video, AdultSwim, aenetworks, aenetworks:collection, aenetworks:show, afreecatv, AirMozilla, AliExpressLive, AlJazeera, Allocine, AlphaPorno, Amara, AMCNetworks, AmericasTestKitchen, AmericasTestKitchenSeason, anderetijden, AnimeOnDemand, Anvato, aol.com, APA, Aparat, AppleConnect, AppleDaily, ApplePodcasts, appletrailers, appletrailers:section, archive.org, ArcPublishing, ARD, ARD:mediathek, ARDBetaMediathek, Arkena, arte.sky.it, ArteTV, ArteTVEmbed, ArteTVPlaylist, AsianCrush, AsianCrushPlaylist, AtresPlayer, ATTTechChannel, ATVAt, AudiMedia, AudioBoom, audiomack, audiomack:album, AWAAN, awaan:live, awaan:season, awaan:video, AZMedien, BaiduVideo, Bandcamp, Bandcamp:album, Bandcamp:weekly, bangumi.bilibili.com, bbc, bbc.co.uk, bbc.co.uk:article, bbc.co.uk:iplayer:playlist, bbc.co.uk:playlist, BBVTV, Beatport, Beeg, BehindKink, Bellator, BellMedia, Bet, bfi:player, bfmtv, bfmtv:article, bfmtv:live, BibelTV, Bigflix, Bild, BiliBili, BilibiliAudio, BilibiliAudioAlbum, BiliBiliPlayer, BioBioChileTV, Biography, BIQLE, BitChute, BitChuteChannel, BleacherReport, BleacherReportCMS, blinkx, Bloomberg, BokeCC, BongaCams, BostonGlobe, Box, Bpb, BR, BravoTV, Break, brightcove:legacy, brightcove:new, BRMediathek, bt:article, bt:vestlendingen, BusinessInsider, BuzzFeed, BYUtv, Camdemy, CamdemyFolder, CamModels, CamTube, CamWithHer, canalc2.tv, Canalplus, Canvas, CanvasEen, CarambaTV, CarambaTVPage, CartoonNetwork, cbc.ca, cbc.ca:olympics, cbc.ca:player, cbc.ca:watch, cbc.ca:watch:video, CBS, CBSInteractive, CBSLocal, CBSLocalArticle, cbsnews, cbsnews:embed, cbsnews:livevideo, CBSSports, CCMA, CCTV, CDA, CeskaTelevize, CeskaTelevizePorady, channel9, CharlieRose, Chaturbate, Chilloutzone, chirbit, chirbit:profile, cielotv.it, Cinchcast, Cinemax, CiscoLiveSearch, CiscoLiveSession, CJSW, cliphunter, Clippit, ClipRs, Clipsyndicate, CloserToTruth, CloudflareStream, Cloudy, Clubic, Clyp, cmt.com, CNBC, CNBCVideo, CNN, CNNArticle, CNNBlogs, ComedyCentral, ComedyCentralTV, CommonMistakes, CondeNast, CONtv, Corus, Coub, Cracked, Crackle, CrooksAndLiars, crunchyroll, crunchyroll:playlist, CSpan, CtsNews, CTV, CTVNews, cu.ntv.co.jp, Culturebox, CultureUnplugged, curiositystream, curiositystream:collection, CWTV, DailyMail, dailymotion, dailymotion:playlist, dailymotion:user, daum.net, daum.net:clip, daum.net:playlist, daum.net:user, DBTV, DctpTv, DeezerPlaylist, defense.gouv.fr, democracynow, DHM, Digg, DigitallySpeaking, Digiteka, Discovery, DiscoveryGo, DiscoveryGoPlaylist, DiscoveryNetworksDe, DiscoveryVR, Disney, dlive:stream, dlive:vod, Dotsub, DouyuShow, DouyuTV, DPlay, DRBonanza, Dropbox, DrTuber, drtv, drtv:live, DTube, Dumpert, dvtv, dw, dw:article, EaglePlatform, EbaumsWorld, EchoMsk, egghead:course, egghead:lesson, ehftv, eHow, EinsUndEinsTV, Einthusan, eitb.tv, EllenTube, EllenTubePlaylist, EllenTubeVideo, ElPais, Embedly, EMPFlix, Engadget, Eporner, EroProfile, Escapist, ESPN, ESPNArticle, EsriVideo, Europa, EWETV, ExpoTV, Expressen, ExtremeTube, EyedoTV, facebook, FacebookPluginsVideo, faz.net, fc2, fc2:embed, Fczenit, filmon, filmon:channel, Filmweb, FiveThirtyEight, FiveTV, Flickr, Folketinget, FootyRoom, Formula1, FOX, FOX9, FOX9News, Foxgay, foxnews, foxnews:article, FoxSports, france2.fr:generation-what, FranceCulture, FranceInter, FranceTV, FranceTVEmbed, francetvinfo.fr, FranceTVJeunesse, FranceTVSite, Freesound, freespeech.org, FreshLive, FrontendMasters, FrontendMastersCourse, FrontendMastersLesson, FujiTVFODPlus7, Funimation, Funk, Fusion, Fux, Gaia, GameInformer, GameSpot, GameStar, Gaskrank, Gazeta, GDCVault, generic, Gfycat, 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