Package: aghermann Version: 0.9.1.1-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1399 Depends: neurodebian-popularity-contest, libc6 (>= 2.8), libcairo2 (>= 1.2.4), libconfig++8 (>= 1.3.2-2), libfftw3-3, libgcc1 (>= 1:4.1.1), libglib2.0-0 (>= 2.31.18), libgomp1 (>= 4.4), libgsl0ldbl (>= 1.9), libgtk-3-0 (>= 3.3.16), libitpp7, libpango1.0-0 (>= 1.14.0), libsamplerate0 (>= 0.1.7), libstdc++6 (>= 4.6), libunique-3.0-0 (>= 2.90.1), libvte-2.90-9 (>= 1:0.27.2) Suggests: edfbrowser Homepage: http://johnhommer.com/academic/code/aghermann Priority: optional Section: science Filename: pool/main/a/aghermann/aghermann_0.9.1.1-1~nd12.04+1_i386.deb Size: 639916 SHA256: c22a01a140340f02ad8b791670d8b61fb07eb6e0291423093ae9975c283e8fe0 SHA1: cdf6f3e88094aab86bea8e0b6b2ab48f3daa4f91 MD5sum: 46137c9ca28974f78930aec02dd51f8c Description: Sleep-research experiment manager Aghermann is a program designed around a common workflow in sleep-research, complete with scoring facility; cairo subpixel drawing on screen or to file; conventional PSD and EEG Micrcontinuity profiles; Independent Component Analysis; artifact detection; and Process S simulation following Achermann et al, 1993. Package: ants Version: 1.9.2+svn680.dfsg-3~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 39404 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libinsighttoolkit3.20, libstdc++6 (>= 4.6) 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~nd11.10+1+nd12.04+1_i386.deb Size: 12468372 SHA256: e0abcada157b72b098e18f6178cdeed417ac79c8514f201b0b61b3ab5d8d8c51 SHA1: cbdd0be6ca9c94e480e1659149e737f1865e2c84 MD5sum: f88ffbd817450295564d22a0c3f39b6e 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: biosig-tools Source: biosig4c++ Version: 1.4.1-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 675 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_1.4.1-1~nd12.04+1_i386.deb Size: 283948 SHA256: a24bf70b3e08347fac0a08a5aca0fcdf02e2557107de6c8bcb4f14517f7c3cf9 SHA1: 70903ad52dfa71442559418018e218d300633a56 MD5sum: 867226691965681130d26bb7546f11be 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: cde Version: 0.1-1~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 778 Depends: neurodebian-popularity-contest, libc6 (>= 2.1) Homepage: http://www.stanford.edu/~pgbovine/cdepack.html Priority: optional Section: utils Filename: pool/main/c/cde/cde_0.1-1~nd11.10+1+nd12.04+1_i386.deb Size: 326264 SHA256: 60959794463b6dfe6eddda6ad549356adca23e315f46c1e09f75772de9e1fc58 SHA1: ac1c073423b760536dfb724f4231c81816df5504 MD5sum: 7e713f5acb00ef9f637cc6bb1c60d413 Description: package everything required to execute a Linux command on another computer CDEpack (Code, Data, and Environment packaging) is a tool that automatically packages up everything required to execute a Linux command on another computer without any installation or configuration. A command can range from something as simple as a command-line utility to a sophisticated GUI application with 3D graphics. The only requirement is that the other computer have the same hardware architecture (e.g., x86) and major kernel version (e.g., 2.6.X) as yours. CDEpack allows you to easily run programs without the dependency hell that inevitably occurs when attempting to install software or libraries. . Typical use cases: 1. Quickly share prototype software 2. Try out software in non-native environments 3. Perform reproducible research 4. Instantly deploy applications to cluster or cloud computing 5. Submit executable bug reports 6. Package class programming assignments 7. Easily collaborate on coding projects Package: cmtk Version: 2.2.6-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10371 Depends: neurodebian-popularity-contest, libbz2-1.0, libc6 (>= 2.7), libdcmtk2 (>= 3.6.0), libfftw3-3, libgcc1 (>= 1:4.1.1), libgomp1 (>= 4.2.1), libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.5.3), libsqlite3-0 (>= 3.5.9), libstdc++6 (>= 4.6), zlib1g (>= 1:1.1.4) Recommends: sri24-atlas Suggests: numdiff Homepage: http://www.nitrc.org/projects/cmtk/ Priority: extra Section: science Filename: pool/main/c/cmtk/cmtk_2.2.6-1~nd12.04+1_i386.deb Size: 3934780 SHA256: 780928b6199191bd9cfdefd911a32cd9643931de262a917cc6149ab69e12926c SHA1: 43d4dae3178d6be727f2db254dbee516dbd0892d MD5sum: ac46d95d19aaa6b075dd42d160133bbd Description: Computational Morphometry Toolkit A software toolkit for computational morphometry of biomedical images, CMTK comprises a set of command line tools and a back-end general-purpose library for processing and I/O. . The command line tools primarily provide the following functionality: registration (affine and nonrigid; single and multi-channel; pairwise and groupwise), image correction (MR bias field estimation; interleaved image artifact correction), processing (filters; combination of segmentations via voting and STAPLE; shape-based averaging), statistics (t-tests; general linear regression). Package: cnrun Version: 1.1.14-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 285 Depends: neurodebian-popularity-contest, libc6 (>= 2.8), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), libreadline6 (>= 6.0), libstdc++6 (>= 4.6), libxml2 (>= 2.6.27) Suggests: gnuplot Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/cnrun_1.1.14-1~nd12.04+1_i386.deb Size: 123490 SHA256: dc9ce3b04d158fecf83bd50e6d50e78b3ffb4d955871867486d32fc00e9d53fb SHA1: c84d04e4f96ec0dc2a9add3399d150f7fee19665 MD5sum: 460b104cedbfc4778843c5da7935ebe9 Description: NeuroML-capable neuronal network simulator CNrun is a neuronal network model simulator, similar in purpose to NEURON except that individual neurons are not compartmentalised. It can read NeuroML files (e.g., as generated by neuroConstruct); provides a Hodgkin-Huxley neuron (plus some varieties), a Rall and Alpha-Beta synapses, Poisson, Van der Pol, Colpitts oscillators and regular pulse generator; external inputs and logging state variables. Uses a 6-5 Runge-Kutta integration method. Basic scripting and (if run interactively) context-aware autocompletion. Package: condor Version: 7.8.8~dfsg.1-2~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 10692 Depends: neurodebian-popularity-contest, debconf (>= 0.5) | debconf-2.0, libc6 (>= 2.15), libclassad3, libcomerr2 (>= 1.01), libcurl3 (>= 7.16.2-1), libexpat1 (>= 1.95.8), libgcc1 (>= 1:4.1.1), libglobus-common0 (>= 14), libglobus-ftp-control1 (>= 4), libglobus-gass-transfer2 (>= 7), libglobus-gram-client3 (>= 12), libglobus-gsi-credential1 (>= 5), libglobus-gsi-proxy-core0 (>= 6), libglobus-gsi-sysconfig1 (>= 5), libglobus-gss-assist3 (>= 8), libglobus-gssapi-gsi4 (>= 10), libglobus-io3 (>= 9), libglobus-rsl2 (>= 9), libglobus-xio0 (>= 3), libgsoap1, libk5crypto3 (>= 1.6.dfsg.2), libkrb5-3 (>= 1.10+dfsg~), libldap-2.4-2 (>= 2.4.7), libpcre3 (>= 8.10), libssl1.0.0 (>= 1.0.0), libstdc++6 (>= 4.6), libuuid1 (>= 2.16), libvirt0 (>= 0.5.0), 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~nd12.04+1_i386.deb Size: 4394110 SHA256: f08f022e8b9b63f6ee57afc02c60412d49d966b0c8b455ac093bb99234f4f44e SHA1: a97be8584b5bc53940f270aa4b9ecb2f7f9c4c47 MD5sum: 51e49aa2427bfabb8b37583989501780 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 38370 Depends: neurodebian-popularity-contest, condor (= 7.8.8~dfsg.1-2~nd12.04+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~nd12.04+1_i386.deb Size: 15285146 SHA256: b80beb0ee2f4315de215a8b10eb35a66aab8c5ce3a99a2d00c6d16bf858887b8 SHA1: 8f64e34ed2863f23ef6b3f9a0604e156f58f0c6b MD5sum: b50a8b7feb6ab43dcea84ddafd2380f8 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 1114 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~nd12.04+1_i386.deb Size: 350346 SHA256: 5327679521c107485a614bca14256d3e925c190a243e4a7671e62981db900333 SHA1: 0a6448ce59b49a4e191cdafcf7a19994a5bcc2b5 MD5sum: a9583bdc076b3e00d5ac4e03a9859e9f 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 6118 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~nd12.04+1_all.deb Size: 1459556 SHA256: bd31098c20f5b12d1c002f687bf50cc3e898ff251768c800f4192d5784f2f348 SHA1: 5f4af10ddfff69d5fcb6aa83d3c0ad6684e338cb MD5sum: 32e51b88f28280995d43804293f68e8e 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: 2.1.0-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1576 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-cfflib (>= 2.0.5), python-networkx (>= 1.4), python-nibabel, python-numpy (>= 1.3.0), python-scipy, python-chaco, mayavi2 (>= 4.0.0), ipython Recommends: python-nipype, python-dipy, python-matplotlib, python-qscintilla2 Suggests: nipy-suite Homepage: http://www.connectomeviewer.org Priority: extra Section: python Filename: pool/main/c/connectomeviewer/connectomeviewer_2.1.0-1~nd12.04+1_all.deb Size: 1355528 SHA256: 8255392e769af2ca1b745f6707a441213b408db7ae6a12c299698c495f618f0b SHA1: 1834b0270b864861f5c97b2a7ecdfabb7cc1ae14 MD5sum: 09125f910fb0ecec7fd33d65efb0c75f 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~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4183 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libfuse2 (>= 2.8.1), libglobus-common0 (>= 14), libglobus-gss-assist3 (>= 8), libglobus-gssapi-gsi4 (>= 10), libkrb5-3 (>= 1.6.dfsg.2), libmysqlclient18 (>= 5.5.13-1), libncurses5 (>= 5.5-5~), libopenmpi1.3, libreadline6 (>= 6.0), libstdc++6 (>= 4.1.1), libtinfo5, python Suggests: coop-computing-tools-doc, condor, gridengine-client Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: utils Filename: pool/main/c/cctools/coop-computing-tools_3.4.2-1~nd11.10+1+nd12.04+1_i386.deb Size: 1601384 SHA256: a5cd7d78bca291d12ff73c73597c83d86d32603254d2d420d38ad446b676753f SHA1: 8aab81a56b1f71037eb21b63c82f9ca1686961fa MD5sum: 317198ad087976143e37e3af970aa9d9 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~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 868 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~nd11.10+1+nd12.04+1_i386.deb Size: 258014 SHA256: db7e6a7971b333720bb23abc7a1965673b9000aae0cbcd192b2cb37de13571de SHA1: dfe79c119b8b745e182fd834e67c7e1b69452fe0 MD5sum: 4afedd6a5308f45ef4dbe8e385779f11 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~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2319 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~nd11.10+1+nd12.04+1_all.deb Size: 310964 SHA256: a39fa9bc2251d5a045a6126278b1e772f41883e8ef1dd939b2b2c903df0fe40a SHA1: 79255768567dff8808dd954c9e64dc6c99dfd89c MD5sum: 3b540998ed6b8eda89421dd11cd61d6a Description: documentation for coop-computing-tools These tools are a collection of software that help users to share resources in a complex, heterogeneous, and unreliable computing environment. . This package provides the documentation (manual and API reference) in HTML format. Package: debian-handbook Version: 6.0+20120509~nd+1 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: debruijn Version: 1.6-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 70 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfftw3-3, libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.4.0) Homepage: http://www.cfn.upenn.edu/aguirre/wiki/public:de_bruijn_software Priority: extra Section: science Filename: pool/main/d/debruijn/debruijn_1.6-1~nd12.04+1_i386.deb Size: 37422 SHA256: 648fee5b33d2986ab7ba9743b4ec07f195dd369a891dfdf4139601f2875fa8e3 SHA1: 29b2160c1697aeb028a7687ed24f1c6731529646 MD5sum: 65f6dd32695f1b257624ca2dab04549a Description: De Bruijn cycle generator Stimulus counter-balance is important for many experimental designs. This command-line software creates De Bruijn cycles, which are pseudo-random sequences with arbitrary levels of counterbalance. "Path-guided" de Bruijn cycles may also be created. These sequences encode a hypothesized neural modulation at specified temporal frequencies, and have enhanced detection power for BOLD fMRI experiments. Package: dicomnifti Version: 2.30.0-1~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 450 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libnifti2, libstdc++6 (>= 4.6) Homepage: http://cbi.nyu.edu/software/dinifti.php Priority: optional Section: science Filename: pool/main/d/dicomnifti/dicomnifti_2.30.0-1~nd11.10+1+nd12.04+1_i386.deb Size: 157118 SHA256: 1f15cea6e38443d709f08b6ae2d6a93f8b7e45640047b6bc0d37064fe9c02e51 SHA1: 28b7e62d889821c3568f499c6f016924fff0bf53 MD5sum: 3d08e84a51dd0c6b101472016ff269e5 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: 1.2.5-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2014 Depends: neurodebian-popularity-contest, libmtcp1, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.2.1) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: utils Filename: pool/main/d/dmtcp/dmtcp_1.2.5-1~nd12.04+1_i386.deb Size: 854870 SHA256: 3b83ea50284edb00b447a559f2c8d85ecd3db7093c0d403014ec3534759300d9 SHA1: bd1c3354d37a478dd39b63b92946644c5567f595 MD5sum: 43ae00e43ba88777b58f7995ee5da08f 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 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 contains DMTCP binaries. Package: dmtcp-dbg Source: dmtcp Version: 1.2.5-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 13254 Depends: neurodebian-popularity-contest, dmtcp Homepage: http://dmtcp.sourceforge.net Priority: extra Section: debug Filename: pool/main/d/dmtcp/dmtcp-dbg_1.2.5-1~nd12.04+1_i386.deb Size: 4775006 SHA256: 680532a3546c3dae23e453d46a670e3ae37f068c2efba944a7e77492277bf1ec SHA1: 9b5b6e03b16787a4dcf9d38fa2d99306f9823739 MD5sum: 90753c45af106f984ebb772bdbc72ec8 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 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 contains debugging symbols for DMTCP. Package: edac-utils Version: 0.18-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 54 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libedac1, lsb-base (>= 3.0-6) Recommends: dmidecode Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: admin Filename: pool/main/e/edac-utils/edac-utils_0.18-1~nd12.04+1_i386.deb Size: 28736 SHA256: 8455ee219b1870de3ae2b08f25b0954ecf8da4ff50b288e7067c7786c53beca8 SHA1: d1cd9bb6b5eddb4901cb8445b43bb73cbc8324e9 MD5sum: 727c1fe33d1fdc579d0d98c1410debcd 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 77 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libeegdev0 (= 0.2-3~nd12.04+1), libc6 (>= 2.4), libexpat1 (>= 1.95.8), libusb-1.0-0 (>= 2:1.0.9~rc3), libxdffileio0 (>= 0.0) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: libs Filename: pool/main/e/eegdev/eegdev-plugins-free_0.2-3~nd12.04+1_i386.deb Size: 27768 SHA256: 992ad9e278ec7c3c2e83ada554de34db6021f7f7a6f70a045c0e886e43268bc7 SHA1: ef5d0c076c6ed5e220d10c59fe99f8e4d8996fec MD5sum: e9e022b18bf27971fc4d9912537d99ca 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~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8109 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/e/eeglab11/eeglab11-sampledata_11.0.0.0~b~dfsg.1-1~nd11.10+1+nd12.04+1_all.deb Size: 7224748 SHA256: 896e3a64a84c1ecfa3f8aeb72849dbad8afb923046a6efb8f85cef680dd88880 SHA1: 4d6ca1909de2b2ec07ad124633c1ea2a0e41806c MD5sum: 66c6e6dde6068a39cf8a541bd1b66848 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~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 19 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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~nd11.10+1+nd12.04+1_i386.deb Size: 10606 SHA256: fc7227bfa2e1c81d0f36c483331411c7c95613244d1917d61c57abb6a11b5e4e SHA1: 9b448ca47a7c235473c4b286ad5da5c47d2e08be MD5sum: 37e88176afbada407ada35387ff77ef3 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: fail2ban Version: 0.8.10-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 402 Depends: neurodebian-popularity-contest, python (>= 2.7.1-0ubuntu2), 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_0.8.10-1~nd12.04+1_all.deb Size: 134676 SHA256: bc2c80c7c5ee07244cd5dacc32d51ec551395db7baced5489e9342523a922fb8 SHA1: 21b24a4ea4093104acb714ba9a47569b73fe2b54 MD5sum: 222b0c9b4a283cba99f84668bcc06f00 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: 1.1.5-3~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1 Depends: neurodebian-popularity-contest, freeipmi-common, freeipmi-tools, freeipmi-ipmidetect, freeipmi-bmc-watchdog Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi_1.1.5-3~nd12.04+1_all.deb Size: 934 SHA256: 5a9ad975eb80c528882a5bf930cacf35016d96dbcd9acd3b76c4beee5083ca3d SHA1: 87ed2db8c7b24d9c42b88e17cd3796a7ea41bb47 MD5sum: b231a9985cf7fdd0379a36951f434615 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 meta-package depends on all separate modules of freeipmi. Package: freeipmi-bmc-watchdog Source: freeipmi Version: 1.1.5-3~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 262 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfreeipmi12 (>= 1.1.5), freeipmi-tools Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-bmc-watchdog_1.1.5-3~nd12.04+1_i386.deb Size: 192990 SHA256: 2cd2204f734dbcba45dd0bbd4dbc448d8baf36dfd51da40182dd234a3afc359a SHA1: 93bf6ffd36004ab112672ad2db73da8b1abc4504 MD5sum: d61e21fed024c208ae2f8fcb3f5ea21a 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: 1.1.5-3~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 380 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_1.1.5-3~nd12.04+1_all.deb Size: 296948 SHA256: ded72c10b600960c8e28eb582a2da41e8d1b3c4db3f5c202c825a96bb4b93dbf SHA1: b79e420de532b04ba33d7f3baa0a0c32478c9c17 MD5sum: 6e1a9030c40445d77ccd328c63f1b995 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: 1.1.5-3~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 233 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfreeipmi12 (>= 1.1.5), libipmidetect0 (>= 1.1.5) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-ipmidetect_1.1.5-3~nd12.04+1_i386.deb Size: 188876 SHA256: 1956e332dd3e321e7fe3c5988c38cd42613a41419487b9566550b31413bbda00 SHA1: d30f7665f845171b80060e35cb7769794fbb35b7 MD5sum: b41cdc6f248b53af904129f0a88c6386 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-tools Source: freeipmi Version: 1.1.5-3~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3302 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libfreeipmi12 (>= 1.1.5), libipmiconsole2 (>= 1.1.5), libipmidetect0 (>= 1.1.5) Suggests: freeipmi-ipmidetect, freeipmi-bmc-watchdog Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-tools_1.1.5-3~nd12.04+1_i386.deb Size: 1618760 SHA256: 88c886e103e77a522e1f182f49425967b4a47032f0449cd662b9a9fc53019e85 SHA1: 706253ef59b4e5ede03623060286cc1ec1cef081 MD5sum: f95382201e29d55b8be6961c21b38213 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-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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 9 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~nd12.04+1_i386.deb Size: 7340 SHA256: 49838089c820eb42d9ca2891e7ac175618455eaae926d2f0d344bf16bbc6a902 SHA1: a17eeb383d138f81db96edcd3f3a3133ee7d6542 MD5sum: 0a08d8e393498b06cb2a3450b32048d6 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: 4.0.1-2~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5029 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libnewmat10ldbl, libnifti2, libqt4-qt3support (>= 4:4.5.3), libqt4-xml (>= 4:4.5.3), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.7.0~beta1), libqwt5-qt4, libstdc++6 (>= 4.6), libvtk5.8, libvtk5.8-qt4 Recommends: fslview-doc, qt-assistant-compat Suggests: fsl-atlases Conflicts: fsl-fslview Replaces: fsl-fslview Homepage: http://www.fmrib.ox.ac.uk/fsl/fslview Priority: optional Section: science Filename: pool/main/f/fslview/fslview_4.0.1-2~nd12.04+1_i386.deb Size: 2076444 SHA256: eef9c50d73394962d92cc0671f41bb93fe8fe09716351a185e538281f6d9a1c5 SHA1: cf8b760d0d1430c0db5176e7ad2116a25c07ac3d MD5sum: 0d6ddda82578e0f10bd69c63d7ea03c7 Description: viewer for (f)MRI and DTI data This package provides a viewer for 3d and 4d MRI data as well as DTI images. FSLView is able to display ANALYZE and NIFTI files. The viewer supports multiple 2d viewing modes (orthogonal, lightbox or single slices), but also 3d volume rendering. Additionally FSLView is able to visualize timeseries and can overlay metrical and stereotaxic atlas data. . FSLView is part of FSL. Package: fslview-doc Source: fslview Version: 4.0.1-2~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2874 Depends: neurodebian-popularity-contest Homepage: http://www.fmrib.ox.ac.uk/fsl/fslview Priority: optional Section: doc Filename: pool/main/f/fslview/fslview-doc_4.0.1-2~nd12.04+1_all.deb Size: 2346538 SHA256: 084fea9846b183ef6f945d06eef68ac4cc672bdd7670bf3d84230fc34b800569 SHA1: ff8ec632c035df587d42e0c4bb8502d497d29066 MD5sum: 4fd07de3ffd5bcc72995b174045f6234 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 85 Depends: neurodebian-popularity-contest, libboost-filesystem1.46.1 (>= 1.46.1-1), libboost-program-options1.46.1 (>= 1.46.1-1), libboost-system1.46.1 (>= 1.46.1-1), libc6 (>= 2.4), 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~nd12.04+1_i386.deb Size: 34730 SHA256: e748c6321575814572a5f12d994a1b665b17bc5c48d9b64e396570feecf5e5d2 SHA1: de54203b16f635d783db3dd5c54a54fc84d968fb MD5sum: bf8f0abfb4db2bbb103dbf44d76b4efd 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: glew-utils Source: glew Version: 1.9.0-3~bnd1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 335 Depends: neurodebian-popularity-contest, libglew1.9 (= 1.9.0-3~bnd1~nd12.04+1), libc6 (>= 2.4), libgl1-mesa-glx | libgl1, libx11-6 Replaces: libglew1.6 (<< 1.7) Homepage: http://glew.sourceforge.net Priority: optional Section: utils Filename: pool/main/g/glew/glew-utils_1.9.0-3~bnd1~nd12.04+1_i386.deb Size: 124312 SHA256: f8117f7a71f29636bf6192c7bedccf17350f1ceb29304e239f2a26718ab2f432 SHA1: 841d74f0a4dbbd58bd4c1f65250bfceeb03f9d66 MD5sum: 685f27331d6f4e6e8b3051e9c96af4eb 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: 1.1.3-2~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 78 Depends: neurodebian-popularity-contest, make Homepage: http://gmsl.sourceforge.net/ Priority: optional Section: devel Filename: pool/main/g/gmsl/gmsl_1.1.3-2~nd12.04+1_all.deb Size: 16308 SHA256: 2afc80dea7b9eccba40d28c5c2da10c3c04e028d52aea4bed56a1e940e8b9cca SHA1: 40d8ddaf956a29ab0229eb0e29cc657b50a1c395 MD5sum: 20bd30bb41ebcaf1e670ebbf4945e44e Description: extra functions to extend functionality of GNU Makefiles The GNU Make Standard Library (GMSL) is a collection of functions implemented using native GNU Make functionality that provide list and string manipulation, integer arithmetic, associative arrays, stacks, and debugging facilities. . Note that despite the name of this project, this library is NOT standard and is NOT written or distributed by the GNU project. Package: guacamole Version: 0.6.0-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 302 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~nd12.04+1_all.deb Size: 277626 SHA256: 031ed40a75c0f5ab6f1fd0494f9776baf8b8100a76424d54ec0766d9f90ec40a SHA1: 5c6e2a9d1697f9ac0b4fadd3446853f6b986bf72 MD5sum: cb834423bc0f2462911800a2ee6c9a59 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7 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~nd12.04+1_all.deb Size: 5172 SHA256: 8a9423cc80eecd320a8902746df9692514c78b60d25eb847001b184820ce8174 SHA1: 615d0b822e7ff888796cc40ac5ffb44a317b23af MD5sum: f7c8aeaa54bb5a3b1bc56c49bdd781bf 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 22 Depends: neurodebian-popularity-contest, lsb-base (>= 3.0-6), libc6 (>= 2.4), libguac3 Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: net Filename: pool/main/g/guacd/guacd_0.6.0-1~nd12.04+1_i386.deb Size: 11184 SHA256: d0360483b3d4c114bd117333ef14208c3def35935a620621a9f7eab6ea595319 SHA1: 941c232c7aa5e7fa2c31233beb366acd2006e79c MD5sum: deeafbb2f6e3f6725696d22ba07b09d6 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: 0.10.3+svn61-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 326 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0), python-opengl, python-pygame, python-imaging, poppler-utils | xpdf-utils (>= 3.02-2), perl Recommends: pdftk 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_0.10.3+svn61-1~nd12.04+1_all.deb Size: 155966 SHA256: 3178048db990e6799e4c9c1a92ae8f772af744a9141e34eb1bc8ed4ecca1d85c SHA1: 3ffa09d23c68f7081a9c95732c367ff1122ef284 MD5sum: 2c10e75e0c97c33b87dea7fd7b6fe07e 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: neurodebian-popularity-contest, python (>= 2.5.0), python-dicom, dcmtk, python-httplib2 Homepage: http://xnat.incf.org/ Priority: extra Section: science Filename: pool/main/i/incf-nidash-oneclick/incf-nidash-oneclick-clients_2.0-1~nd12.04+1_all.deb Size: 9652 SHA256: 2e8333994fe771da783ce3abdf490b2250b2643c8e879a9ed656a123425f949f SHA1: fcd79a61add1454528aa8aaaff1f438ae66859d5 MD5sum: 66bc6f30071a526052024744e99d9448 Description: utility for pushing DICOM data to the INCF datasharing server A command line utility for anonymizing and sending DICOM data to the XNAT image database at the International Neuroinformatics Coordinating Facility (INCF). This tool is maintained by the INCF NeuroImaging DataSharing (NIDASH) task force. Package: insighttoolkit4-examples Source: insighttoolkit4 Version: 4.2.1-2~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2677 Depends: neurodebian-popularity-contest Suggests: libinsighttoolkit4-dev Conflicts: insighttoolkit-examples Replaces: insighttoolkit-examples Homepage: http://www.itk.org/ Priority: optional Section: devel Filename: pool/main/i/insighttoolkit4/insighttoolkit4-examples_4.2.1-2~nd12.04+1_all.deb Size: 2408058 SHA256: c42b24bedd5b66b7523faa969f6bd7c6c4e22c43101db56aa451a2d5292dcfbd SHA1: 6b775c06008483ca78a6f588cb314bbf5febdcc9 MD5sum: 7f80fd84d705080ba7f957dca4b8555f Description: Image processing toolkit for registration and segmentation - examples ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the source for example programs. Package: ipython01x Version: 0.13.2-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4665 Depends: neurodebian-popularity-contest, python-argparse, python-configobj, python-decorator, python-pexpect, python-simplegeneric, python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8) 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~nd12.04+1_all.deb Size: 1286038 SHA256: 16d6d5b7b507f59549666293a141e328687021ff78b1abb9e8216b17f9640cb6 SHA1: 4a45a68818a3ae7d6d32cb44808385e8b76dc2d2 MD5sum: 3d3ef76055db419ab9679c87e685f2ac 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16655 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~nd12.04+1_all.deb Size: 7232394 SHA256: 9d592a832ec275b572fcc8064278e5dce94ee48ec1560e06e4c56adabed20d1f SHA1: a2cb4113a1570bead3fde2303d3c714215981896 MD5sum: 9877028a6b3d79cd2dc1ec867f1d43d4 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1 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~nd12.04+1_all.deb Size: 900 SHA256: 8fa7dc1ca1b1ae2ba6c52f9bb16f784271a2b01f97137b0d56f0b4b50205bf11 SHA1: e1b13e384ad986e718a0c4e62b8af76b32d1d0da MD5sum: a9a320cbb8c1fe1e4d90e147508ebcdf 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1 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~nd12.04+1_all.deb Size: 826 SHA256: 4b5a4d23881ba8686922fef8146a9af51cebecdded01b3e6701c0472bd4e8046 SHA1: e2cafae23f7dd67754b7cf75700947670d5f5c95 MD5sum: 76473935bcaad0b0076d2d8c944b68c4 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1 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~nd12.04+1_all.deb Size: 910 SHA256: 9972b51729ec7cdc7540414552fd435785581244d4970fafb194a86602eee9df SHA1: 224dcbb7104d6e1cda8ceb604fc84d2cf199aa28 MD5sum: 9cde899e5d8670759c6a496658cc5139 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: ipython1x Version: 1.1.0+git7-gf5891e9-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 11748 Depends: neurodebian-popularity-contest, python-argparse, python-configobj, python-decorator, python-pexpect, python-simplegeneric, python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8) Recommends: python-tornado (>= 2.1.0~), python-pygments, python-qt4, python-zmq, python-matplotlib Suggests: ipython1x-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/ipython1x/ipython1x_1.1.0+git7-gf5891e9-1~nd12.04+1_all.deb Size: 4486482 SHA256: a9679ce6900685fcf954d4d01ad9fdbd05da5d85d790f8495509794f91710784 SHA1: 438a25f32dfda759e82add6230e45cd7d6c958a7 MD5sum: d3e273ea4f535500f0a02f261ea66890 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 IPython1X module thus not conflicting with system-wide installed IPython Package: ipython1x-doc Source: ipython1x Version: 1.1.0+git7-gf5891e9-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10392 Depends: neurodebian-popularity-contest, libjs-jquery, ipython1x Homepage: http://ipython.org/ Priority: optional Section: doc Filename: pool/main/i/ipython1x/ipython1x-doc_1.1.0+git7-gf5891e9-1~nd12.04+1_all.deb Size: 4189382 SHA256: 5544d92db502b24d13d4884e942e84dbfeacbdd71311af39d291ea5d2586427e SHA1: 75e1874cf68f4cfaf607f79467e057b2c79419df MD5sum: c3ce1b5d4fe1414b308dc4bce5431f0c 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 IPython1X module thus not conflicting with system-wide installed IPython Package: ipython1x-notebook Source: ipython1x Version: 1.1.0+git7-gf5891e9-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1 Depends: neurodebian-popularity-contest, ipython1x (>= 0.13.1~git33-gcfc5692-2~) Homepage: http://ipython.org/ Priority: extra Section: python Filename: pool/main/i/ipython1x/ipython1x-notebook_1.1.0+git7-gf5891e9-1~nd12.04+1_all.deb Size: 912 SHA256: 8369b7c15a5c5fadeea50b7556032e9f9bbd1f880f93d364686bc6632e004487 SHA1: 38f3d514258c71e3c683c2650a4bb3883bd5852e MD5sum: 9c62d71dcbe9064670c8e521a021382d Description: enhanced interactive Python shell -- notebook dummy package This is a dummy package depending on ipython1x 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: ipython1x-parallel Source: ipython1x Version: 1.1.0+git7-gf5891e9-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1 Depends: neurodebian-popularity-contest, ipython1x (>= 0.13.1~git33-gcfc5692-2~) Homepage: http://ipython.org/ Priority: extra Section: oldlibs Filename: pool/main/i/ipython1x/ipython1x-parallel_1.1.0+git7-gf5891e9-1~nd12.04+1_all.deb Size: 836 SHA256: e0c1a55d2fff9a68242d3c5da94d52c9ea8f897ed68306493c09a27a0a6913cb SHA1: bf342227921322e4c2784a602946c2b79b3c706a MD5sum: 8918d84c0e426e0b94fe03ed223fdb4d Description: enhanced interactive Python shell This is a transitional package and can be safely removed after the installation is complete. Package: ipython1x-qtconsole Source: ipython1x Version: 1.1.0+git7-gf5891e9-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1 Depends: neurodebian-popularity-contest, ipython1x (>= 0.13.1~git33-gcfc5692-2~) Homepage: http://ipython.org/ Priority: extra Section: python Filename: pool/main/i/ipython1x/ipython1x-qtconsole_1.1.0+git7-gf5891e9-1~nd12.04+1_all.deb Size: 926 SHA256: c25adfa065c94e212679ec7430c5ebb13c2737b8adc02cfb1c2ae441f0720acb SHA1: 57861ed3d3354a06571a0aea73fb4687ee56cbbc MD5sum: 64066110b7b06ea5b7b63a4ee41885ca Description: enhanced interactive Python shell -- notebook dummy package This is a dummy package depending on ipython1x 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~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 330 Depends: neurodebian-popularity-contest, libisis-core0 (= 0.4.7-1~nd11.10+1+nd12.04+1), libboost-regex1.46.1 (>= 1.46.1-1), libboost-system1.46.1 (>= 1.46.1-1), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libmuparser0debian1, libstdc++6 (>= 4.6) Homepage: https://github.com/isis-group Priority: extra Section: science Filename: pool/main/i/isis/isis-utils_0.4.7-1~nd11.10+1+nd12.04+1_i386.deb Size: 141506 SHA256: 61477a7c00afa9c1bd16d07570be26ea023b9bf6c3b26c546b3778cc48763fa2 SHA1: b20147571ebcfd817b019381e1a529b26d57535f MD5sum: 4a4afb1f0df20c7ca8636ab560d6bdc7 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: libbiosig-dev Source: biosig4c++ Version: 1.4.1-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1330 Depends: neurodebian-popularity-contest, libbiosig1 (= 1.4.1-1~nd12.04+1) Homepage: http://biosig.sf.net/ Priority: extra Section: libdevel Filename: pool/main/b/biosig4c++/libbiosig-dev_1.4.1-1~nd12.04+1_i386.deb Size: 417226 SHA256: 13aae349635a3f2179c817950c177eda79d621bd046ad263f1bed69f3a4f9f60 SHA1: 35c883f3b1046745aaa101248c5de605a3e8eecb MD5sum: 28653aee3929fe7403c444d7c0dcda13 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~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 747 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.2.1) Homepage: http://biosig.sf.net/ Priority: extra Section: libs Filename: pool/main/b/biosig4c++/libbiosig0_0.96.3+svn2677-3~nd11.10+1+nd12.04+1_i386.deb Size: 300864 SHA256: a39b35ac8db4a28f2e47f2ebd5eba5d7e7eb0d7a464297222624a01e5868d43b SHA1: 6a20163b3f140946f79d842e91b3f0d7be6fdb1b MD5sum: 5e7bcb2a0f8385ff08d1273f4a0186a9 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~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 179 Depends: neurodebian-popularity-contest, libbiosig0 (= 0.96.3+svn2677-3~nd11.10+1+nd12.04+1) Homepage: http://biosig.sf.net/ Priority: extra Section: debug Filename: pool/main/b/biosig4c++/libbiosig0-dbg_0.96.3+svn2677-3~nd11.10+1+nd12.04+1_i386.deb Size: 59870 SHA256: 99a06be1205f42ba65458e00940fe0d7542f62c0f2f538507dc2d7a518ab1f85 SHA1: 2c82cee01d0b3d068a2fe118f33fc0bbf7fb5f9d MD5sum: 70d4de0b919b22c3eade9af693209f9d 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: 1.4.1-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 803 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://biosig.sf.net/ Priority: extra Section: libs Filename: pool/main/b/biosig4c++/libbiosig1_1.4.1-1~nd12.04+1_i386.deb Size: 326714 SHA256: 890e8eafd532700c345495cfbc365299b40077523ab262d19dd1b8d14bb3687c SHA1: 37b6bdbdf90873ced6f5763c47ec347ce28df3fb MD5sum: ff4ac4b763c5580bb4626e3b731b94a2 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: 1.4.1-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3750 Depends: neurodebian-popularity-contest, libbiosig1 (= 1.4.1-1~nd12.04+1) Homepage: http://biosig.sf.net/ Priority: extra Section: debug Filename: pool/main/b/biosig4c++/libbiosig1-dbg_1.4.1-1~nd12.04+1_i386.deb Size: 1170090 SHA256: 5994e7ca4b5d357ff70d355c039dbf8275e98a2558aa226b4a97d03c766c0a27 SHA1: e6085e38ea0793d72fba7b4c679abb9fbce644e8 MD5sum: b03eba9a38acd5c140564ad9b1c23c36 Description: I/O library for biomedical data - debug symbols BioSig is a library for accessing files in several biomedical data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://pub.ist.ac.at/~schloegl/biosig/TESTED . . This package provides debug symbols. Package: libclassad-dev Source: condor Version: 7.8.8~dfsg.1-2~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 947 Depends: neurodebian-popularity-contest, libclassad3 (= 7.8.8~dfsg.1-2~nd12.04+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~nd12.04+1_i386.deb Size: 299436 SHA256: 3c0a3e6a62e5256d36659a4b8b9c0c62d5e16ce704dfff461bbb6c6a6d4ec667 SHA1: f568d832321fbb4c2ba6eda4623936ecf1a93b2a MD5sum: e677be45d1630d521938bfc7b9fe7423 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 526 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libpcre3 (>= 8.10), libstdc++6 (>= 4.6) Homepage: http://research.cs.wisc.edu/condor Priority: extra Section: science Filename: pool/main/c/condor/libclassad3_7.8.8~dfsg.1-2~nd12.04+1_i386.deb Size: 215640 SHA256: a43841ee7dfefc3517632f937c71219f9101fb6b6c40cff723fe9ab40aba2944 SHA1: b4c20fc66f0723bf34645b952e1e5b6809f14756 MD5sum: 094dddcce8548152257426962cd14a42 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 16 Depends: neurodebian-popularity-contest, libdmtcpaware1 (= 1.2.5-1~nd12.04+1) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/d/dmtcp/libdmtcpaware-dev_1.2.5-1~nd12.04+1_i386.deb Size: 7302 SHA256: e7921d5ebb0deb25105d82be5cdfcc152e9b3b617be46bd75339ec2e10a9820d SHA1: 0e509e196f304a9f85b104e5fb77c9265387bf01 MD5sum: b40d16b434ada1c084b6843ae253cc1b 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 15 Depends: neurodebian-popularity-contest, dmtcp, libc6 (>= 2.1.3) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libs Filename: pool/main/d/dmtcp/libdmtcpaware1_1.2.5-1~nd12.04+1_i386.deb Size: 7126 SHA256: 5295954f119d457be410792a29c47b223003b143a30deedfaa509e5b642f211c SHA1: 36ea2e0eb72735273324782f8d1777007018a743 MD5sum: b4c48ebc08aae870806698f2138ca998 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 69 Depends: neurodebian-popularity-contest, libdrawtk0 (= 2.0-2~nd12.04+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/drawtk.html Priority: extra Section: libdevel Filename: pool/main/d/drawtk/libdrawtk-dev_2.0-2~nd12.04+1_i386.deb Size: 43610 SHA256: c9c684a41c87e6226735cf27b08098df68b529728d0c272b982acdcd8bc763c4 SHA1: d505f92ca916b36967ec5b9b944501a0fb722cad MD5sum: 7b6510bebe799b60d92128e9ddeeccf5 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 51 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfontconfig1 (>= 2.8.0), libfreeimage3, 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) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/drawtk.html Priority: extra Section: libs Filename: pool/main/d/drawtk/libdrawtk0_2.0-2~nd12.04+1_i386.deb Size: 25150 SHA256: 638d8ed5430c37140f9e095890e24f86d6700c2f01bf0f5cb6e21785b695c56d SHA1: 77b77b920ad99135498749644ef0fa8e068f90f4 MD5sum: 5a110545a2fa96ee25d1633242a2cd13 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 67 Depends: neurodebian-popularity-contest, libdrawtk0 (= 2.0-2~nd12.04+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/drawtk.html Priority: extra Section: debug Filename: pool/main/d/drawtk/libdrawtk0-dbg_2.0-2~nd12.04+1_i386.deb Size: 61356 SHA256: fc9e98e5d220e5a6d3e569ba2f96f9f9ab56eeff8fa6f94aa8ad98252f7ba291 SHA1: bd82b9e4cb3049242d07c69b5560b5902bd23e3f MD5sum: 87371e9f7405060484cc0fc9696a937a 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 27 Depends: neurodebian-popularity-contest, libedac1 (= 0.18-1~nd12.04+1) Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: libdevel Filename: pool/main/e/edac-utils/libedac-dev_0.18-1~nd12.04+1_i386.deb Size: 18682 SHA256: dd6bbb6a002d3d08e2c074cd28f94fa01065bf240f474192d37f4fc059e4ade8 SHA1: 5ece97d06efa6bd22d58275f629bcb949dff82d9 MD5sum: f8da0ede5062e4e7c223f3b1c2f38464 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 19 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libsysfs2 Provides: libedac Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: libs Filename: pool/main/e/edac-utils/libedac1_0.18-1~nd12.04+1_i386.deb Size: 14774 SHA256: 6d7abf1a293d3b530e8a3d103be8e12b8cb5e7a2feb6fbad4011eea4dcdee361 SHA1: cf1f12b73c30744529119917ec5f55e8e984a8b9 MD5sum: 2d6d2fbc89f886577cbbd9a8c1b66e32 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 58 Depends: neurodebian-popularity-contest, libedac1 (= 0.18-1~nd12.04+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~nd12.04+1_i386.deb Size: 31220 SHA256: b4087090d364bf572fc491521dfcd5f29ed5281b2182a3b16afb4f5bd9d07d70 SHA1: a05f945c406353f22dcb1ba42d91337523e76da3 MD5sum: 88cb0079ae0aefa8fe54e045f8c07fe8 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 47 Depends: neurodebian-popularity-contest, libeegdev0 (= 0.2-3~nd12.04+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: libdevel Filename: pool/main/e/eegdev/libeegdev-dev_0.2-3~nd12.04+1_i386.deb Size: 22434 SHA256: efbaa484f557db085e0d85024c5be11763dcd48aa8e4977c1a3659beaf3650f7 SHA1: 65496973b872278d664abc628e3bda6109f47dcc MD5sum: bc4d1ab4438aa82a748ca6add9db8c6d 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 62 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.4) Recommends: eegdev-plugins-free Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: libs Filename: pool/main/e/eegdev/libeegdev0_0.2-3~nd12.04+1_i386.deb Size: 31584 SHA256: 55f3dbd9198fbde523d25a5cd417302437f03d1e03bc655956e2907c85a25cd2 SHA1: 3723a74588ae7d2839d94d471d4dc15244fbcdbb MD5sum: 8c9ae78be1d6ca0ba3c54344537e401e 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 163 Depends: neurodebian-popularity-contest, libeegdev0 (= 0.2-3~nd12.04+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: debug Filename: pool/main/e/eegdev/libeegdev0-dbg_0.2-3~nd12.04+1_i386.deb Size: 145908 SHA256: a4bb1418af89a2d7dbf7cd00b69e564804bfdf7c5dfb2de33679d69c2377a792 SHA1: 08c7fe5af609c178482f379f2c60f39547b2590a MD5sum: 289d830c1f6258331b27327c038b368c 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: libfreeipmi-dev Source: freeipmi Version: 1.1.5-3~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5640 Depends: neurodebian-popularity-contest, libfreeipmi12 (= 1.1.5-3~nd12.04+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libfreeipmi-dev_1.1.5-3~nd12.04+1_i386.deb Size: 1215372 SHA256: e49fc844fc27ffd06709422d95868248edd49d2b09da8902548067b34b253a40 SHA1: 34e6648b6a181c1446b75bda58ce3392a4d921c2 MD5sum: 2b2f61687c75a137bf48922488490010 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3799 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcrypt11 (>= 1.4.5), freeipmi-common (= 1.1.5-3~nd12.04+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libfreeipmi12_1.1.5-3~nd12.04+1_i386.deb Size: 976870 SHA256: 3cb087c50803e19c1ba4604f07f5d7bafb3e3c04bef43433819b679ba3c452af SHA1: 4faff3d4429f365b499ba9fdc10a2c0f7c30c74a MD5sum: 402fccc23ea0c96ab83022f758b8f37a 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 80 Depends: neurodebian-popularity-contest, freeglut3, libc6 (>= 2.4), 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~nd12.04+1_i386.deb Size: 35832 SHA256: 85615e76186c2500c1065a1ad63ec23934a42a1bdae4c69e428b8d1ac29e162d SHA1: b1a577479d1477db0161936c3823d9962166a83e MD5sum: a69137b10bd1087383dbfb1288ba6a77 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 9 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~nd12.04+1_i386.deb Size: 7372 SHA256: 0ee6e31b2281fc19e3ec1cfd507eeb4614361115bef3957a3495158948f303c1 SHA1: 65894ac7042a929575c50aaf07f621f033c35ae8 MD5sum: 1b2114ee12f3fc0c9363f017ac98b54e 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 48 Depends: neurodebian-popularity-contest, libfreenect0.1 (= 1:0.1.2+dfsg-6~nd12.04+1) Multi-Arch: same Homepage: http://openkinect.org/ Priority: extra Section: libdevel Filename: pool/main/libf/libfreenect/libfreenect-dev_0.1.2+dfsg-6~nd12.04+1_i386.deb Size: 17452 SHA256: 0d7e3af9b01d0e0a82ce2eeabe3d18f9ddd52149c2ef4122404105737399bfe5 SHA1: 78c98ece428619a696f4c59dcd37db19a96e2da1 MD5sum: 2e0427aca5f62fb8c5f8cf3fccd555ae 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 482 Depends: neurodebian-popularity-contest Multi-Arch: foreign Homepage: http://openkinect.org/ Priority: extra Section: doc Filename: pool/main/libf/libfreenect/libfreenect-doc_0.1.2+dfsg-6~nd12.04+1_all.deb Size: 90826 SHA256: ce3aa05ed1adb1052c95f64d8d6bca0c9b68ca36b62d16a84153a932f7a95edd SHA1: 953a5d482244b055130a34ea227d553dc89b9e6e MD5sum: 77f83c1d42d041e8642df0f5227f05fe 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 89 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libusb-1.0-0 (>= 2:1.0.9~rc3) Conflicts: libfreenect Multi-Arch: same Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/libfreenect0.1_0.1.2+dfsg-6~nd12.04+1_i386.deb Size: 36976 SHA256: 15f66b4f3ba102bc1895c5c3007035abdce9d72197fefba437a8eb63e12c1ac6 SHA1: 985e7de60c5103675c7cf00e97d8360ace4b01f4 MD5sum: 78392c87c0e3291b0dfe1c8b71b3b056 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 97 Depends: neurodebian-popularity-contest, libgdf0 (= 0.1.2-2~nd12.04+1) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: libdevel Filename: pool/main/libg/libgdf/libgdf-dev_0.1.2-2~nd12.04+1_i386.deb Size: 19554 SHA256: 92b8faaec1a0d94753e5388727d23f21324c08c11f8516fad7ff3cc75258c101 SHA1: 564fbed5b343aa1b606b11ebb9bdebb36b2a79ad MD5sum: ea9bb21febf1399f4237db4af5b6bac9 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 264 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.6) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: libs Filename: pool/main/libg/libgdf/libgdf0_0.1.2-2~nd12.04+1_i386.deb Size: 101294 SHA256: f8cd6ac75e05b55e140f1bd7771adb1b04045372b4c11df549968a287dd4c1a2 SHA1: 701a17b9288cc0093813bb4b7767ff7799edaecf MD5sum: dde494e8f14404c28e19b7a42cb43d12 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3665 Depends: neurodebian-popularity-contest, libgdf0 (= 0.1.2-2~nd12.04+1) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: debug Filename: pool/main/libg/libgdf/libgdf0-dbg_0.1.2-2~nd12.04+1_i386.deb Size: 1212608 SHA256: becfb23208e410057cd755a9ad68983bccf5fceb26a2d9cb78372980f64b44da SHA1: a287665fd24bfdb3eecd1cfe2ce60c237779c6b2 MD5sum: 233291595499d7a2cfd9ed85e8e36f2d Description: IO library for the GDF -- debug symbols GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides debug symbols. Package: libglew1.9 Source: glew Version: 1.9.0-3~bnd1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 475 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgl1-mesa-glx | libgl1 Suggests: glew-utils Conflicts: libglew1 Multi-Arch: same Homepage: http://glew.sourceforge.net Priority: optional Section: libs Filename: pool/main/g/glew/libglew1.9_1.9.0-3~bnd1~nd12.04+1_i386.deb Size: 134750 SHA256: 5f052d1425099a25b782bc2d3f8059e6161f249dd440d1c5423247ddb82aba0a SHA1: ae2987ad18caf4bbb7475deb92e68027c41ee124 MD5sum: a96cf6a1ad8917f831f7a644e4c666e5 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 127 Depends: neurodebian-popularity-contest, libglew1.9 (= 1.9.0-3~bnd1~nd12.04+1) Homepage: http://glew.sourceforge.net Priority: extra Section: debug Filename: pool/main/g/glew/libglew1.9-dbg_1.9.0-3~bnd1~nd12.04+1_i386.deb Size: 40038 SHA256: ae2c3b8145b971693690cdf0e793bbd0c1b3f6cfc7f3079391ca908e24e5b047 SHA1: 1547ba1aad60c7221b83e60ec99993366af6031e MD5sum: fb9abb76eee353916f8a24088b1fc497 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1000 Depends: neurodebian-popularity-contest, libgl1-mesa-dev | libgl-dev, libglew1.9 (= 1.9.0-3~bnd1~nd12.04+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~nd12.04+1_i386.deb Size: 153224 SHA256: 20fbbda1275b70185c6caa104409ba33afc8ebbcc0cc0f7d89c6cb0e06069e73 SHA1: d7cd68fe69b6297931fb524763c4792bffcbad64 MD5sum: f5dd3185c074f7bbe2e8d6029387c3d8 Description: OpenGL Extension Wrangler - development environment The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry (http://www.opengl.org/registry). . This package contains the development documentation as well as the required header files. Package: libglewmx1.9 Source: glew Version: 1.9.0-3~bnd1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 419 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgl1-mesa-glx | libgl1 Conflicts: libglew1 Multi-Arch: same Homepage: http://glew.sourceforge.net Priority: optional Section: libs Filename: pool/main/g/glew/libglewmx1.9_1.9.0-3~bnd1~nd12.04+1_i386.deb Size: 118474 SHA256: 88a94f0b599772a830a0199bd4562799b6a2024205f719720e7cbf3bfef06ab1 SHA1: 7a35b79ef01db0620cf5e728ea9870028bc034b1 MD5sum: 761e694aac3b807a5585f3626f3009ce 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, libglewmx1.9 (= 1.9.0-3~bnd1~nd12.04+1) Homepage: http://glew.sourceforge.net Priority: extra Section: debug Filename: pool/main/g/glew/libglewmx1.9-dbg_1.9.0-3~bnd1~nd12.04+1_i386.deb Size: 32276 SHA256: c146f910a5a468e1dfa338648b22dca4b640d632234c5ccca8ad5b1ea367867a SHA1: 8ef4a818f400c188df7cd7ded3ca6aa9d1eb3a13 MD5sum: 01e1a51bf38fee3460f7df69e0efd763 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 12 Depends: neurodebian-popularity-contest, libglew1.9-dev, libglewmx1.9 (= 1.9.0-3~bnd1~nd12.04+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~nd12.04+1_i386.deb Size: 8822 SHA256: 2f0d58492f216470835f746327de561d2438f38ca0574695ed5842b9b8c21a70 SHA1: 090acd4ae9f3fdf9a5ace82e2300abbddacdeae5 MD5sum: 38ae37954414496ae6d104bea5ea0bd9 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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~nd12.04+1_i386.deb Size: 11312 SHA256: 7c69f1592a0bd615d43814331b32624a986393890aea43c3e7614b566b980464 SHA1: c122bed7e68c8972d211ac5451c47a782b6cc2b6 MD5sum: 3a2c4a3b9a4f04e5cee1c3e338ad637a 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 113 Depends: neurodebian-popularity-contest, libguac3 (= 0.6.0-2~nd12.04+1) Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: libdevel Filename: pool/main/libg/libguac/libguac-dev_0.6.0-2~nd12.04+1_i386.deb Size: 27712 SHA256: 42986b698b20e6e25895fb3238961183ca3e3726b239dc3883a865f7f2859cbf SHA1: a461aaa535cc803c8e0c20fb88cef1b5b33ee5e5 MD5sum: a66db1750b3e37b7b7b2e2bf97fc6410 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 41 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), 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~nd12.04+1_i386.deb Size: 18004 SHA256: 12ac50071a4e6244220afdc2d257f379457704e52740f0cb2d27f99707158e74 SHA1: f33a5fa9d0670843b6fa68ed8c95514fb840ed41 MD5sum: 891afc2682b9498cb6cb32748165069c Description: Core Guacamole library used by guacd and client plugins The core Guacamole library which both guacd and client plugins depend on to provide low-level I/O and protocol support. Package: libinsighttoolkit4-dev Source: insighttoolkit4 Version: 4.2.1-2~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 25773 Depends: neurodebian-popularity-contest, libinsighttoolkit4.2 (= 4.2.1-2~nd12.04+1), libgdcm2-dev Recommends: libfftw3-dev, uuid-dev Suggests: insighttoolkit4-examples Conflicts: libinsighttoolkit-dev, libinsighttoolkit3-dev Replaces: libinsighttoolkit-dev Homepage: http://www.itk.org/ Priority: optional Section: libdevel Filename: pool/main/i/insighttoolkit4/libinsighttoolkit4-dev_4.2.1-2~nd12.04+1_i386.deb Size: 5275560 SHA256: 1ee2538f80f2ebc9460114d4c019439c910f8a755149df3ef1f475843cc50726 SHA1: 2feecc7b686dbff44e82ad9c2421b6f5f8ea4f98 MD5sum: c2835e5ed92c360ca4d02c51e302cbda Description: Image processing toolkit for registration and segmentation - development ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the development files needed to build your own ITK applications. Package: libinsighttoolkit4.2 Source: insighttoolkit4 Version: 4.2.1-2~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 19581 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libgdcm2.0, libjpeg8 (>= 8c), libminc2-1, libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.6), zlib1g (>= 1:1.2.3.3.dfsg) Homepage: http://www.itk.org/ Priority: optional Section: libs Filename: pool/main/i/insighttoolkit4/libinsighttoolkit4.2_4.2.1-2~nd12.04+1_i386.deb Size: 6572588 SHA256: 3a600f148c83564f444fe33a72af43b0cc120db8d6e53bf27c18e2b5ab3ef874 SHA1: f57e53a5c818ca28468923be3b86cd1efcc7aac9 MD5sum: b124c754f5af1cc3ac87eddab0b4e0af Description: Image processing toolkit for registration and segmentation - runtime ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the libraries needed to run ITK applications. Package: libipmiconsole-dev Source: freeipmi Version: 1.1.5-3~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 516 Depends: neurodebian-popularity-contest, libipmiconsole2 (= 1.1.5-3~nd12.04+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmiconsole-dev_1.1.5-3~nd12.04+1_i386.deb Size: 264826 SHA256: 2fe75ce9538109cae718cfade748273f33033c761bd6c9664205878e94971838 SHA1: 992608c2afe901fb8497fbbc37dafc0f1eef0705 MD5sum: e16b630c0e172ebfd3646294efb5c0d9 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: 1.1.5-3~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 387 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libfreeipmi12 (>= 1.1.5) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmiconsole2_1.1.5-3~nd12.04+1_i386.deb Size: 234934 SHA256: 227b86f1d51cc7459fd3d2ba795d14f5199d7b4b02e055c288cd39a87316cf36 SHA1: d30cda20d6c30c45f1e083c7c8a45c8ec867538c MD5sum: c26c4eda22f89b22b4f3921a09b69f6d 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: 1.1.5-3~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 223 Depends: neurodebian-popularity-contest, libipmidetect0 (= 1.1.5-3~nd12.04+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmidetect-dev_1.1.5-3~nd12.04+1_i386.deb Size: 176364 SHA256: 3e710313b734249fb4672c71594368a8919f3661af6592eb3514929182939acf SHA1: 5ca9049284ad43b566d6b79a32bb69494c79faf8 MD5sum: 9d647449c32a59c8bf339b5dae5cd99a 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: 1.1.5-3~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 190 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), freeipmi-common (= 1.1.5-3~nd12.04+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmidetect0_1.1.5-3~nd12.04+1_i386.deb Size: 166544 SHA256: cb0870be49681939830165fc8c4296f8e89e96c4d62d02aaed83cdd9610a9632 SHA1: 2ad2b7b9b38ecbdc5d14e4e1570b16ebbcc0115d MD5sum: f0d424a1eb18bb871b02adf1824e19b5 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: 1.1.5-3~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 408 Depends: neurodebian-popularity-contest, libipmimonitoring5 (= 1.1.5-3~nd12.04+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmimonitoring-dev_1.1.5-3~nd12.04+1_i386.deb Size: 226142 SHA256: 07803e0b2a816355fc0b9dff9edbb8202a4559b87bd20a385da1456ce3dcf5e9 SHA1: 1877b75ad5f8db5dcf9780e9d5034b8db2edb70f MD5sum: 9bf6a5b52d6930fa5a8097240254569e 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 253 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfreeipmi12 (>= 1.1.5) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmimonitoring5_1.1.5-3~nd12.04+1_i386.deb Size: 189742 SHA256: 2d887a69a0afd77f786e23d6838da739b9280fda37ac00d2a06c47d3ced70341 SHA1: 375d97c5c1a602d80afa9374ce16c21d5d8265f5 MD5sum: d7ab5213731af3e595344fc87bf3d7e6 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~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 260 Depends: neurodebian-popularity-contest, libisis-core0 (>= 0.4.7-1~nd11.10+1+nd12.04+1), libisis-core0 (<< 0.4.7-1~nd11.10+1+nd12.04+1.1~) Homepage: https://github.com/isis-group Priority: extra Section: libdevel Filename: pool/main/i/isis/libisis-core-dev_0.4.7-1~nd11.10+1+nd12.04+1_all.deb Size: 69044 SHA256: 676aa659129766e70ed2a833d4341b47e95766cffe931f88ed304d34e700696e SHA1: d8c229966b0716f28ff127aa29d3909149fc1aa9 MD5sum: 8b63e70f78d6b4906a79298a3cb3d11a 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~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4641 Depends: neurodebian-popularity-contest, libboost-date-time1.46.1 (>= 1.46.1-1), libboost-filesystem1.46.1 (>= 1.46.1-1), libboost-regex1.46.1 (>= 1.46.1-1), libboost-system1.46.1 (>= 1.46.1-1), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), liboil0.3 (>= 0.3.10), libstdc++6 (>= 4.6) 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~nd11.10+1+nd12.04+1_i386.deb Size: 1122268 SHA256: 0e9d182ad343ee371735e083dd7cf128e32cb4ae127d2cc533a8f2551ec4a5cf SHA1: 0993cda714c2666c7fcf8a7a1e047aae4386cbf6 MD5sum: f68439ff8e12bdfe765c45b390ef3238 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~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2238 Depends: neurodebian-popularity-contest, libisis-core0 (= 0.4.7-1~nd11.10+1+nd12.04+1), libboost-date-time1.46.1 (>= 1.46.1-1), libboost-iostreams1.46.1 (>= 1.46.1-1), libboost-regex1.46.1 (>= 1.46.1-1), libboost-system1.46.1 (>= 1.46.1-1), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.6), 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~nd11.10+1+nd12.04+1_i386.deb Size: 769018 SHA256: 6173412f55e743524017ae92e39ae43eeb933afaa808395f3447c14c221cce5c SHA1: eeca712de07dc607c454e94436fa249c84552538 MD5sum: 726aba5b20f8eb6406c8f6626c087e42 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~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 644 Depends: neurodebian-popularity-contest, libisis-core0 (= 0.4.7-1~nd11.10+1+nd12.04+1), libboost-regex1.46.1 (>= 1.46.1-1), libboost-system1.46.1 (>= 1.46.1-1), libc6 (>= 2.4), libdcmtk2 (>= 3.6.0), libgcc1 (>= 1:4.1.1), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.6), 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~nd11.10+1+nd12.04+1_i386.deb Size: 215734 SHA256: dc760238933ce6f6f9a119adc161c021d4d5e3d74d1c366202d07c3dc2a51da4 SHA1: 6bb4e192649d2dc7b91fbaa62ebfe6862a45b53c MD5sum: 5fcc14e58b54439e3618682d481198e6 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~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 47 Depends: neurodebian-popularity-contest, libisis-core0 (= 0.4.7-1~nd11.10+1+nd12.04+1), libboost-system1.46.1 (>= 1.46.1-1), libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libqtcore4 (>= 4:4.5.3), libqtgui4 (>= 4:4.5.3), libstdc++6 (>= 4.6) 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~nd11.10+1+nd12.04+1_i386.deb Size: 21734 SHA256: d9c17181094d66ff0d37b537854795614bef0dcd54b0f0858e9046869de39ca6 SHA1: f6e367d9edf007518c9eda177ae8a5d3293ead0d MD5sum: 7c3cd8c1f1b90d136266ecb9d3a6641c 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~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8 Depends: neurodebian-popularity-contest, libisis-qt4-0 (>= 0.4.7-1~nd11.10+1+nd12.04+1), libisis-qt4-0 (<< 0.4.7-1~nd11.10+1+nd12.04+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~nd11.10+1+nd12.04+1_all.deb Size: 6062 SHA256: d421f9a584c148a1d0506dc3fe98ef26ded298ba20cdd7852f4800209078f8da SHA1: 4b1fa88ac55f52e9b6bb1531467fb40c6c6ee386 MD5sum: ff41be8c4a67e54cd9b0c8427491a549 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: libmcpanel-dev Source: mcpanel Version: 0.0-1~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4 Depends: neurodebian-popularity-contest, libmcpanel0 (= 0.0-1~nd11.10+1+nd12.04+1) Homepage: http://cnbi.epfl.ch/software/mcpanel.html Priority: extra Section: libdevel Filename: pool/main/m/mcpanel/libmcpanel-dev_0.0-1~nd11.10+1+nd12.04+1_i386.deb Size: 2402 SHA256: 816c077f2d1769a7032b9c1bdd7082831e9e32a00395519166162a6e67e5f4c6 SHA1: 706a871adbe93f4d418fd70554342758b67fcaf1 MD5sum: 538de61f65f79e7c7009b2105242a685 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~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 135 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.31.8), 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~nd11.10+1+nd12.04+1_i386.deb Size: 48078 SHA256: 6f1cdb5f232ef1e8881efb132c16332d8e607b556eb108449590bdd5c555028d SHA1: a1cea49ae96f276a110a4bd45a166ec64d73a587 MD5sum: 94b529441974cbf65383041522541c7e 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~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 276 Depends: neurodebian-popularity-contest, libmcpanel0 (= 0.0-1~nd11.10+1+nd12.04+1) Homepage: http://cnbi.epfl.ch/software/mcpanel.html Priority: extra Section: debug Filename: pool/main/m/mcpanel/libmcpanel0-dbg_0.0-1~nd11.10+1+nd12.04+1_i386.deb Size: 121532 SHA256: c93a3a91ede7cf8e70385fe1b09f31defff0088bf04978ed8aa1cc69222da567 SHA1: 2b91010a0a2ddb4a9584b7e5edefa7ea436d3a03 MD5sum: 070244dd6e9027c475987760a2bd086d 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 12 Depends: neurodebian-popularity-contest, libmtcp1 (= 1.2.5-1~nd12.04+1) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/d/dmtcp/libmtcp-dev_1.2.5-1~nd12.04+1_i386.deb Size: 5552 SHA256: 40af1a44e10225a705b1448371c59be847e6c9906f649342d8a16644a9e8fbd1 SHA1: 149318f8095d66864b76ce17f72bc72e590eabc8 MD5sum: 2527ccedbe6008acb0c142618b57b302 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 100 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~nd12.04+1_i386.deb Size: 40428 SHA256: cbf18c82ea51b98a5e5c6a30dce84e7ee4eb2caa34bb0eb16a0d853b8f7deda7 SHA1: 7f43256bbbce7d9f8aa3821fdea4723b33a0266c MD5sum: 3284a22e708eb6fd4e95463f6f578022 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: libopenwalnut1 Source: openwalnut Version: 1.3.1+hg5849-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5451 Depends: neurodebian-popularity-contest, ttf-liberation (>= 1.0.0), libboost-date-time1.46.1 (>= 1.46.1-1), libboost-filesystem1.46.1 (>= 1.46.1-1), libboost-regex1.46.1 (>= 1.46.1-1), libboost-signals1.46.1 (>= 1.46.1-1), libboost-system1.46.1 (>= 1.46.1-1), libboost-thread1.46.1 (>= 1.46.1-1), libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libopenscenegraph80, libopenthreads14, libstdc++6 (>= 4.6) Suggests: nvidia-glx | fglrx-glx Homepage: http://www.openwalnut.org Priority: extra Section: libs Filename: pool/main/o/openwalnut/libopenwalnut1_1.3.1+hg5849-1~nd12.04+1_i386.deb Size: 1685284 SHA256: 30981cc8c5915c00405880cf8851f0c5a6b8ee91cf0295d58b9e757b871eb754 SHA1: fef0868a84b9d5b28b46f203b76032826828e257 MD5sum: c8f5e934ff840613d1cc006a7fe57890 Description: Framework for multi-modal medical and brain data visualization OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the core API of OpenWalnut. Package: libopenwalnut1-dev Source: openwalnut Version: 1.3.1+hg5849-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1797 Depends: neurodebian-popularity-contest, libopenwalnut1 (= 1.3.1+hg5849-1~nd12.04+1), libgl1-mesa-dev | libgl-dev, libopenscenegraph-dev (>= 3.0.0), libopenthreads-dev (>= 3.0.0), libboost-dev (>= 1.46.0), libboost-program-options-dev (>= 1.46.0), libboost-thread-dev (>= 1.46.0), libboost-filesystem-dev (>= 1.46.0), libboost-date-time-dev (>= 1.46.0), libboost-system-dev (>= 1.46.0), libboost-signals-dev (>= 1.46.0), libboost-regex-dev (>= 1.46.0), libeigen3-dev (>= 3.0.0) Homepage: http://www.openwalnut.org Priority: extra Section: libdevel Filename: pool/main/o/openwalnut/libopenwalnut1-dev_1.3.1+hg5849-1~nd12.04+1_i386.deb Size: 304134 SHA256: 16108abec57cb2db0853cd2c6441cc3715e3da7fb75af8c1ab78444bb8e323bc SHA1: 72bcc3ce2068cfc847b52d5e33d77501d0860ef3 MD5sum: 1b6a433c73567b957810b9823b6d8ae6 Description: Development files for the OpenWalnut visualization framework OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the headers for the core API of OpenWalnut. Package: libopenwalnut1-doc Source: openwalnut Version: 1.3.1+hg5849-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 29959 Depends: neurodebian-popularity-contest, libjs-jquery Homepage: http://www.openwalnut.org Priority: extra Section: doc Filename: pool/main/o/openwalnut/libopenwalnut1-doc_1.3.1+hg5849-1~nd12.04+1_all.deb Size: 3790214 SHA256: 2d783c85b8a4227905b82bb8e5c9034971759b13a06e58ff845edc367d5c0f8f SHA1: 0e440af05376b6212139162671d710d75a7e3210 MD5sum: 1c1ac44f81ca94bfe29d3171600c37a4 Description: Developer documentation for the OpenWalnut visualization framework OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the core API documentation of OpenWalnut. Package: librtfilter-dev Source: rtfilter Version: 1.1-4~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 20 Depends: neurodebian-popularity-contest, librtfilter1 (= 1.1-4~nd12.04+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: libdevel Filename: pool/main/r/rtfilter/librtfilter-dev_1.1-4~nd12.04+1_i386.deb Size: 12602 SHA256: ac9c6238cd8537ad213bab4da86da9f9d34a04e2ac92bf2a1dbdb8585eaffdb7 SHA1: af43fee77c81143f5e917a9470180d984bd89d3c MD5sum: 53e86b86dea50acec76f8a0e15519477 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 45 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.4) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: libs Filename: pool/main/r/rtfilter/librtfilter1_1.1-4~nd12.04+1_i386.deb Size: 20882 SHA256: 710305350f7c78059cf46c6d4ac1c7f70078bf780dfc496bc828292499317cdf SHA1: 115d9d8f066d250ac6e96f69c94f7a551a5adb75 MD5sum: 73dc1e9b39e18c4882b6e884da439682 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 34 Depends: neurodebian-popularity-contest, librtfilter1 (= 1.1-4~nd12.04+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: debug Filename: pool/main/r/rtfilter/librtfilter1-dbg_1.1-4~nd12.04+1_i386.deb Size: 31982 SHA256: 6d339275ce630561ddf12861b2ca723bc66eafbdd042e6387f1f5c3fc708ed47 SHA1: 5a93670df7322a87fd60fe8f0bb9eec4449138cd MD5sum: 4728726a0d064b1691adc07002d34f4d 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: libvia-dev Source: via Version: 2.0.4-2~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 671 Depends: neurodebian-popularity-contest, libvia2 (= 2.0.4-2~nd11.10+1+nd12.04+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~nd11.10+1+nd12.04+1_i386.deb Size: 224868 SHA256: de759107b328406ad3135d5233da32d5522134ba1adc855d5b41d9d4dacc9906 SHA1: 151d043f55bb7b91d657b1b405137109d7ea8e6b MD5sum: 0acc3512fcac883d27ff7c76defbd145 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~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 903 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~nd11.10+1+nd12.04+1_all.deb Size: 118526 SHA256: 70f7d7d0530cd4a253c866ab3a50af8055d66a646e80aeb59d04c02a6c8f3766 SHA1: 80e49482b9207ed42f89c6b98dc5ea1ba7ff8cae MD5sum: c5bb11d4da40e97b8af9c9577f74be1b 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: libvia2 Source: via Version: 2.0.4-2~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 437 Depends: neurodebian-popularity-contest, lesstif2 (>= 1:0.94.4), libatlas3gf-base, libc6 (>= 2.7), libgsl0ldbl (>= 1.9), libx11-6, 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~nd11.10+1+nd12.04+1_i386.deb Size: 189182 SHA256: 82ec86450c3762efa20fd17337b335cfd4ad1d2d2929de3e7831ef3beae5e6fc SHA1: 3575f20df7880831742f34a1eb842a4eed8587b4 MD5sum: 563de44d2aa95617ec2a47f33f0caeb8 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 659 Depends: neurodebian-popularity-contest, libvrpn0 (= 07.30+dfsg-1~nd12.04+1), libvrpnserver0 (= 07.30+dfsg-1~nd12.04+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: libdevel Filename: pool/main/v/vrpn/libvrpn-dev_07.30+dfsg-1~nd12.04+1_i386.deb Size: 174048 SHA256: 2efecdc5121ad4f23f1560a7dd938cfb91ce880398d922ba49f225cec3fb04c2 SHA1: 0c4a4140945c246cad54a9ef18ccab6647852aa0 MD5sum: 4083af346f4ea5039314bc0ab9af586a Description: Virtual Reality Peripheral Network (development files) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the development files Package: libvrpn0 Source: vrpn Version: 07.30+dfsg-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 510 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: libs Filename: pool/main/v/vrpn/libvrpn0_07.30+dfsg-1~nd12.04+1_i386.deb Size: 185544 SHA256: a8fb824303493315738fbbad08f307008f33827f24376f32b9a78af624724a64 SHA1: 91b36054a91332276b2fbe5d706aeca1405ba94b MD5sum: dbd4dcfbab0f6713e3a2e1c50ca1c585 Description: Virtual Reality Peripheral Network (client library) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the client shared library Package: libvrpnserver0 Source: vrpn Version: 07.30+dfsg-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1214 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.4.0) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: libs Filename: pool/main/v/vrpn/libvrpnserver0_07.30+dfsg-1~nd12.04+1_i386.deb Size: 426546 SHA256: cf9e3e3325d1916b08a2ca6a79510331a769cd4dec892ff0a584b03dfaefde1f SHA1: cac46250f7a5f2ea046e710dfaecb1b6697d1673 MD5sum: 71b985dbaf31695477f9c7e7693568f5 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: libvw-dev Source: vowpal-wabbit Version: 7.3-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1886 Depends: neurodebian-popularity-contest, libvw0 (= 7.3-1~nd12.04+1) Homepage: http://hunch.net/~vw/ Priority: optional Section: libdevel Filename: pool/main/v/vowpal-wabbit/libvw-dev_7.3-1~nd12.04+1_i386.deb Size: 532866 SHA256: d78446c97e9ef47f715098981f6df991dfd56b9eeeb179eb5bbb2a160171a3e2 SHA1: 9ea0f47b378cf92f7b5e5bb3494f63a33fbb01cf MD5sum: 124ccdf608c6562fbae89e2eb44ecd2f Description: fast and scalable online machine learning algorithm - development files 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 . This package contains development files needed to compile and link programs which use vowpal-wabbit's libraries. Package: libvw0 Source: vowpal-wabbit Version: 7.3-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 700 Depends: neurodebian-popularity-contest, libboost-program-options1.46.1 (>= 1.46.1-1), libc6 (>= 2.15), 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: libs Filename: pool/main/v/vowpal-wabbit/libvw0_7.3-1~nd12.04+1_i386.deb Size: 294412 SHA256: c4d7316f8bda332cd8720ec079196c44061d6c2b552d4f2976fb94b2d5de1c27 SHA1: 56ca5d385e8898938ba5b520c8cb544f80440ecc MD5sum: 784e03f8100f22448d0b2f273e691991 Description: fast and scalable online machine learning algorithm - dynamic library 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 . This package contains vowpal-wabbit's dynamic libraries. Package: libxdffileio-dev Source: xdffileio Version: 0.3-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, libxdffileio0 (= 0.3-1~nd12.04+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: libdevel Filename: pool/main/x/xdffileio/libxdffileio-dev_0.3-1~nd12.04+1_i386.deb Size: 27774 SHA256: 352fe6e4ba97d3970423f11e347e6743281e019589a0ac3610288d2fb8d3f5c9 SHA1: 3107be75031a0e884be9224676319a66b7903801 MD5sum: 444a4710b566ef0bdf4a16d7739e1d0e 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 72 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.4) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: libs Filename: pool/main/x/xdffileio/libxdffileio0_0.3-1~nd12.04+1_i386.deb Size: 33634 SHA256: 64c03772658d44b856400eca0f907cb8edfa185ee76cb8d31096c293f606fbb7 SHA1: 7f256e6098baf51741fbc01afab20fbd5ae4f8e8 MD5sum: 5f2ed5398db30d211313be018bc5be88 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 66 Depends: neurodebian-popularity-contest, libxdffileio0 (= 0.3-1~nd12.04+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: debug Filename: pool/main/x/xdffileio/libxdffileio0-dbg_0.3-1~nd12.04+1_i386.deb Size: 60218 SHA256: fda373015b86d50f0cef741fd014bd04a74f38349c213d0645240e1db57d59ca SHA1: 8492ab52faf3b595b39b3bdc21640a666aed41ae MD5sum: 9987f8fb943acf7dbf223254e6f4ec16 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: matlab-support-dev Source: matlab-support Version: 0.0.19~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7 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~nd12.04+1_all.deb Size: 7228 SHA256: 31c19cdfae1f85a684e2ede445c7b66ef344d28cbe7136e3b9e91da1f3c57027 SHA1: 1e6447a869052d377c5060cadb5b34fa90b6bcb0 MD5sum: 35aba9fa1b8918525557800def8e4abe 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: mriconvert Version: 2.0.250-1+nd1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2619 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.4.0), libwxbase2.8-0 (>= 2.8.12.1), libwxgtk2.8-0 (>= 2.8.12.1) Homepage: http://lcni.uoregon.edu/~jolinda/MRIConvert/ Priority: optional Section: science Filename: pool/main/m/mriconvert/mriconvert_2.0.250-1+nd1~nd12.04+1_i386.deb Size: 906296 SHA256: e6e29cf047fd93aa7046eab428517ece8dd3b23f2f73fb493f4fc399ec5b1c46 SHA1: 572efe40f76797aa69a2273860d453f3b91046c6 MD5sum: 86f5b45c871699431ff2e9a1d5fa9505 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 14262 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libc6 (>= 2.3.6-6~), libcairo2 (>= 1.2.4), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.12.0), libgtk2.0-0 (>= 2.24.0), 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~nd12.04+1_i386.deb Size: 5498068 SHA256: b72d4be0fabd3cc747486f8257e02fff9727fccbec4ba0bde46e604c2047e116 SHA1: c97a3e6b27d4e49d97c0d4cc1b45935699d6210c MD5sum: 8516f683c4b837efdc0e9fe71326660f 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1710 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~nd12.04+1_all.deb Size: 1664248 SHA256: aeb9d4fa24bd09bdc8b1740c501cc00d23dbff40f0e9db77911d077537a8cb10 SHA1: 8ad7c5f4f1328334d1e6d02c80d02580097f244b MD5sum: e73944c2763475b6158e9916a48b6486 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1019 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~nd12.04+1_all.deb Size: 736318 SHA256: dc7a9b181a5b22f039eafc7c5d6cd0675bc59ab6e7033edb007769468ae5f55c SHA1: ddc71aeb0570188c95d86dc7ce87b456bfdf0c23 MD5sum: 933d4dcfc91b9a06913771fd8caf8dfd 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: 0.2.11-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 7555 Depends: neurodebian-popularity-contest, libatkmm-1.6-1 (>= 2.22.1), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.12.0), libglibmm-2.4-1c2a (>= 2.32.0), libglu1-mesa | libglu1, libgsl0ldbl (>= 1.9), libgtk2.0-0 (>= 2.8.0), libgtkglext1, libgtkmm-2.4-1c2a (>= 1:2.24.0), libsigc++-2.0-0c2a (>= 2.0.2), libstdc++6 (>= 4.6), 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_0.2.11-1~nd12.04+1_i386.deb Size: 2578648 SHA256: 579046f39be72c44e49d5408ca9fd3aa7ddf8d3933b19ba76271519c8023848a SHA1: 5d90549aa11fcb91da12d4bcd790131669180b36 MD5sum: 3b8c0754b68ca76350e9adc448274541 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: 0.2.11-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 3520 Depends: neurodebian-popularity-contest Homepage: http://www.brain.org.au/software/mrtrix Priority: extra Section: doc Filename: pool/main/m/mrtrix/mrtrix-doc_0.2.11-1~nd12.04+1_all.deb Size: 3316192 SHA256: 3903850eac2e0288d0690981c008ac80fbd76c2cebea18711f2f38c412fd27ee SHA1: 7c47e648eb49d5df2284e02fbe7ca2a13a5c2af0 MD5sum: 43b3873896f1729fb76bba848052981d 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 272 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Recommends: octave Homepage: http://www.cims.nyu.edu/~dbindel/mwrap/ Priority: extra Section: devel Filename: pool/main/m/mwrap/mwrap_0.33-1~nd12.04+1_i386.deb Size: 219782 SHA256: d380be30c81afbf3d2b5e52efbfc5b969923b210cee2e13df24e40d505268058 SHA1: ef96a3f2d501e114eb8e6d939015c8c740322fb3 MD5sum: edfbf22ce29f582ae004be9cfb8689a0 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: neurodebian-desktop Source: neurodebian Version: 0.32~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 142 Depends: ssh-askpass-gnome | ssh-askpass, desktop-base, gnome-icon-theme, neurodebian-popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-desktop_0.32~nd12.04+1_all.deb Size: 115536 SHA256: 2c2ccab8337ac7e09ab94b7859766d25f3a73f947af5866e498617ce52452d9a SHA1: ac86d8b65391d0a7ab6398ee77a443a28f7248e9 MD5sum: 2adc3141ea9bd533093d5b8660859c88 Description: neuroscience research environment This package contains NeuroDebian artwork (icons, background image) and a NeuroDebian menu featuring most popular neuroscience tools automatically installed upon initial invocation. Package: neurodebian-dev Source: neurodebian Version: 0.32~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6842 Depends: devscripts, cowbuilder, neurodebian-keyring Recommends: python, zerofree, moreutils, time, ubuntu-keyring, debian-archive-keyring, apt-utils Suggests: virtualbox-ose, virtualbox-ose-fuse Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-dev_0.32~nd12.04+1_all.deb Size: 6433060 SHA256: 46da085e3a59867cca48f5fdad1c219a7aef90a4cc1c78d6e4c7d63bf1fcebac SHA1: 680af2d7c2b1f1e894840db27584347dcb86f7b2 MD5sum: 9f5f00f97c6415bb56d26d6655b74a03 Description: NeuroDebian development tools neuro.debian.net sphinx website 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 107 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~nd12.04+1_all.deb Size: 15356 SHA256: 60258d2d2dd1b6aa3fb07a8558baa17f0cfb1beda664a0e2957ef05b4f998760 SHA1: f48f1908c7f09c1f1905db24f2c958c3a6ae6b8b MD5sum: 7d419de642c6b15c94bf038ddedcefc3 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8 Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-keyring_0.32~nd12.04+1_all.deb Size: 7636 SHA256: 6ff773232ea1fe708517cea7d7b9b1957bc0bc79163d9d67d6c89eaa92e722ba SHA1: f79d2ed9ae86da3b87bf207b080d91f8089c7119 MD5sum: efdf83b2ee75cc05053de967a9411e49 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: 0.32~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.32~nd12.04+1_all.deb Size: 6848 SHA256: 7cebf7d5992dbe969666fa04ec7262d500e7d6a52e48fd27b8d25a36297a534a SHA1: 38d857defde653b632c05203bc5b373c93a670a7 MD5sum: 68c93ed3b2f11f1f3857bf16288982be Description: Helper for NeuroDebian popularity contest submissions 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 (e.g. Debian or Ubuntu) popcon server. . Your participation in popcon is important for following reasons: - Popular packages receive more attention from developers, bugs are fixed faster and updates are provided quicker. - Assure that we do not drop support for a previous release of Debian or Ubuntu while are active users. - User statistics could be used by upstream research software developers to acquire funding for continued development. . It has an effect only if you have decided to participate in the Popularity Contest of your distribution, i.e. Debian or Ubuntu. You can always enable or disable your participation in popcon by running 'dpkg-reconfigure popularity-contest' as root. Package: nifti2dicom Version: 0.4.6-2~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1956 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libgdcm2.0, libinsighttoolkit3.20, libstdc++6 (>= 4.6), nifti2dicom-data (= 0.4.6-2~nd12.04+1) Homepage: https://github.com/biolab-unige/nifti2dicom Priority: optional Section: science Filename: pool/main/n/nifti2dicom/nifti2dicom_0.4.6-2~nd12.04+1_i386.deb Size: 450786 SHA256: f8952b616796916961608477e79176eb81fb009029e67188ecb58bfac2e0e73d SHA1: 137b4d3e976d463d339d3ea6db844570de6f5cbc MD5sum: d55d392d08e1b9e1fe1e1f2da309699c 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: 0.4.6-2~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 606 Depends: neurodebian-popularity-contest Homepage: https://github.com/biolab-unige/nifti2dicom Priority: optional Section: science Filename: pool/main/n/nifti2dicom/nifti2dicom-data_0.4.6-2~nd12.04+1_all.deb Size: 615174 SHA256: 0e9204cc71d4ebd4fa0f9103a330f34024c14b4636450702e6aac9fb75306070 SHA1: adb56007ffe650b1b43c3f366bb4c2da09fd8b03 MD5sum: 98c8b0e2728a50cc5cac49f4a42330c1 Description: data files for nifti2dicom This package contains architecture-independent supporting data files required for use with nifti2dicom, such as such as documentation, icons, and translations. Package: nuitka Version: 0.4.6.2+ds-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1895 Depends: neurodebian-popularity-contest, 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 (>= 2.7.1-0ubuntu2) Recommends: python-lxml (>= 2.3), python-qt4 (>= 4.8.6) Suggests: ccache Homepage: http://nuitka.net Priority: optional Section: python Filename: pool/main/n/nuitka/nuitka_0.4.6.2+ds-1~nd12.04+1_all.deb Size: 500494 SHA256: a7af3d6126ce4e6c96ecf68f47aa52c63699a566dc6afd6e079dfcd2225fdf73 SHA1: bf9c595ea44bc806925b699e1e32e975fa512b90 MD5sum: 7af533ca575a569d889316c574fd439e 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: 5.8.1-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 872 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), dpkg (>= 1.15.4) | install-info Homepage: http://nongnu.org/numdiff/ Priority: extra Section: science Filename: pool/main/n/numdiff/numdiff_5.8.1-1~nd12.04+1_i386.deb Size: 607840 SHA256: 9e6d95644c370015fcec37d129047e41113342e6aafef391d7041be3191b243a SHA1: c46d65d7f91181f7197aaacab21b601dd3e85e60 MD5sum: 2727da5002593cdc020337e1e561becd 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: 1.4.1-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 66 Depends: neurodebian-popularity-contest, octave3.2 (>= 3.2.4), libbiosig1, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1) Homepage: http://biosig.sf.net/ Priority: extra Section: science Filename: pool/main/b/biosig4c++/octave-biosig_1.4.1-1~nd12.04+1_i386.deb Size: 22684 SHA256: 82bb12f121f308496e6c0aeac2c2d588673dac676e110358f14b6c4ee758676b SHA1: e265aadcb722e53ed251f8a121f04c47021d1e6c MD5sum: fea74b7485dfe508b670736c32549e39 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 287 Depends: neurodebian-popularity-contest, octave3.2 (>= 3.2.4), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libgdf0, libstdc++6 (>= 4.6) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: science Filename: pool/main/libg/libgdf/octave-gdf_0.1.2-2~nd12.04+1_i386.deb Size: 118658 SHA256: fbf670966b57258c61ae67fb38fdea358dbb161768a5b6b210f43ab55dc482c1 SHA1: c7c492c80c8db4ee078aa5d97f498e354c639e69 MD5sum: 78cbd14d2e4c8467735d7cefb6107543 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: 3.0.11.20131017.dfsg1-2~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2607 Depends: neurodebian-popularity-contest, octave3.2 (>= 3.2.4), freeglut3, libasound2 (>= 1.0.23), libc6 (>= 2.7), libdc1394-22, libfreenect0.1 (>= 1:0.1.1), libgcc1 (>= 1:4.1.1), 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 (>= 1:1.13), libpciaccess0 (>= 0.8.0+git20071002), libusb-1.0-0 (>= 2:1.0.9~rc3), libx11-6 (>= 2:1.2.99.901), libxfixes3, libxi6 (>= 2:1.2.99.4), libxrandr2 (>= 2:1.2.99.3), libxxf86vm1, psychtoolbox-3-common (= 3.0.11.20131017.dfsg1-2~nd12.04+1), psychtoolbox-3-lib (= 3.0.11.20131017.dfsg1-2~nd12.04+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_3.0.11.20131017.dfsg1-2~nd12.04+1_i386.deb Size: 861100 SHA256: 34613b6a58cb585ca7ca69854d9fca2488040d8dd28fb72c95e2b8efe3659fd2 SHA1: 119c32aedce0a405e0f76ce8a460980e23508b3c MD5sum: c30cc031844200f3d8412d2455723598 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: opensesame Version: 0.27.4-2~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26639 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~nd12.04+1_all.deb Size: 25359348 SHA256: f1470d55899db30eb48bb5a9de4dca539f7b11796aa735c50ab406aa86c0fbec SHA1: e6e5bf7af41ad35096476278ac7cf91ad71014a5 MD5sum: 0e776cb5535a5b24713de386c14646c3 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: openvibe-bin Source: openvibe Version: 0.14.3+dfsg2-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1110 Depends: neurodebian-popularity-contest, openvibe-libs (= 0.14.3+dfsg2-1~nd12.04+1), openvibe-data (= 0.14.3+dfsg2-1~nd12.04+1), libboost-regex1.46.1 (>= 1.46.1-1), libboost-thread1.46.1 (>= 1.46.1-1), libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.12.0), libgtk2.0-0 (>= 2.18.0), libopenal1 (>= 1:1.13), libpango1.0-0 (>= 1.14.0), libstdc++6 (>= 4.6), zlib1g (>= 1:1.1.4) Homepage: http://openvibe.inria.fr Priority: extra Section: science Filename: pool/main/o/openvibe/openvibe-bin_0.14.3+dfsg2-1~nd12.04+1_i386.deb Size: 438528 SHA256: 99a464cac8797b16ca17de8fe5ca7ea9479d1d87d0f07bd2efc6daaf9c062baa SHA1: 8e6dcb475dc955cbf1ae42017c715fbd20b319d4 MD5sum: 49483b05de6d201f7c146ddb1571992a Description: Software platform for BCI (tools and demos) OpenViBE enables to design, test and use Brain-Computer Interfaces (BCI). OpenViBE is a software for real-time neurosciences (that is, for real-time processing of brain signals). It can be used to acquire, filter, process, classify and visualize brain signals in real time. . The graphical user interface of OpenViBE is simple to access and very easy to use for creating BCI scenarios and saving them for later use. In the designer, the available functions are listed in the right-hand window. The user simply drags and drops the selected functions in the left-hand window. He can then connect boxes together to add processing steps to the scenario being created. Lastly, the application is started by pressing the Play button to run the BCI. . OpenViBE is a library of functions written in C++ which can be integrated and applied quickly and easily using modules. The platform's main advantages are modularity, portability, availability of different tools for different types of user, including programmers and non-programmers, superior code performance and compatibility with virtual reality technologies. . The software also offers many 2D and 3D visualization tools to represent brain activity in real time. It is compatible with many EEG- and MEG-type machines because of its generic acquisition server. . OpenViBE offers many pre-configured scenarios for different applications including mental imagery, neurofeedback, P300 signals, etc... . This package contains differents executable including acquisition server, tools and demos. Package: openvibe-data Source: openvibe Version: 0.14.3+dfsg2-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9328 Depends: neurodebian-popularity-contest Homepage: http://openvibe.inria.fr Priority: extra Section: science Filename: pool/main/o/openvibe/openvibe-data_0.14.3+dfsg2-1~nd12.04+1_all.deb Size: 2024428 SHA256: e7be5d76d8705af09254195c6a5322019829604d6384e803e696e2d34dcf2fb6 SHA1: 408f561a02bfdbb352758df3ff54fd65283bf5fa MD5sum: 4f3c8f65f2b3324b27321c5115acd5c1 Description: Software platform for BCI (Data files) OpenViBE enables to design, test and use Brain-Computer Interfaces (BCI). OpenViBE is a software for real-time neurosciences (that is, for real-time processing of brain signals). It can be used to acquire, filter, process, classify and visualize brain signals in real time. . The graphical user interface of OpenViBE is simple to access and very easy to use for creating BCI scenarios and saving them for later use. In the designer, the available functions are listed in the right-hand window. The user simply drags and drops the selected functions in the left-hand window. He can then connect boxes together to add processing steps to the scenario being created. Lastly, the application is started by pressing the Play button to run the BCI. . OpenViBE is a library of functions written in C++ which can be integrated and applied quickly and easily using modules. The platform's main advantages are modularity, portability, availability of different tools for different types of user, including programmers and non-programmers, superior code performance and compatibility with virtual reality technologies. . The software also offers many 2D and 3D visualization tools to represent brain activity in real time. It is compatible with many EEG- and MEG-type machines because of its generic acquisition server. . OpenViBE offers many pre-configured scenarios for different applications including mental imagery, neurofeedback, P300 signals, etc... . This package contains the data files. Package: openvibe-dev Source: openvibe Version: 0.14.3+dfsg2-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 715 Depends: neurodebian-popularity-contest, openvibe-libs (= 0.14.3+dfsg2-1~nd12.04+1) Homepage: http://openvibe.inria.fr Priority: extra Section: libdevel Filename: pool/main/o/openvibe/openvibe-dev_0.14.3+dfsg2-1~nd12.04+1_i386.deb Size: 100662 SHA256: 492a6328f3808b97f66ee334e07736a125e97c973e5f63452b9e050c03e9acc2 SHA1: b157b67dc2193a0d747e4c30e9889ccc98a93f43 MD5sum: 0206162e64d7d36c4e79b7752fc466dc Description: Software platform for BCI (development files) OpenViBE enables to design, test and use Brain-Computer Interfaces (BCI). OpenViBE is a software for real-time neurosciences (that is, for real-time processing of brain signals). It can be used to acquire, filter, process, classify and visualize brain signals in real time. . The graphical user interface of OpenViBE is simple to access and very easy to use for creating BCI scenarios and saving them for later use. In the designer, the available functions are listed in the right-hand window. The user simply drags and drops the selected functions in the left-hand window. He can then connect boxes together to add processing steps to the scenario being created. Lastly, the application is started by pressing the Play button to run the BCI. . OpenViBE is a library of functions written in C++ which can be integrated and applied quickly and easily using modules. The platform's main advantages are modularity, portability, availability of different tools for different types of user, including programmers and non-programmers, superior code performance and compatibility with virtual reality technologies. . The software also offers many 2D and 3D visualization tools to represent brain activity in real time. It is compatible with many EEG- and MEG-type machines because of its generic acquisition server. . OpenViBE offers many pre-configured scenarios for different applications including mental imagery, neurofeedback, P300 signals, etc... . This package contains the development files. Package: openvibe-libs Source: openvibe Version: 0.14.3+dfsg2-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1984 Depends: neurodebian-popularity-contest, openvibe-data (= 0.14.3+dfsg2-1~nd12.04+1), libc6 (>= 2.15), libexpat1 (>= 1.95.8), libgcc1 (>= 1:4.1.1), libglib2.0-0 (>= 2.12.0), libgtk2.0-0 (>= 2.24.0), libogre-1.7.4, libstdc++6 (>= 4.6), libx11-6 Homepage: http://openvibe.inria.fr Priority: extra Section: libs Filename: pool/main/o/openvibe/openvibe-libs_0.14.3+dfsg2-1~nd12.04+1_i386.deb Size: 617976 SHA256: f7804523eb8a63753b7ca323bc08a5502947c929f3b43fc3dfb41dcb8782aaab SHA1: 50eb7e7ca1ee864b2db90423aa201b84d8d70ff3 MD5sum: d89895c6b1b00bfe13d0beb38b9b9618 Description: Software platform for BCI (shared libraries) OpenViBE enables to design, test and use Brain-Computer Interfaces (BCI). OpenViBE is a software for real-time neurosciences (that is, for real-time processing of brain signals). It can be used to acquire, filter, process, classify and visualize brain signals in real time. . The graphical user interface of OpenViBE is simple to access and very easy to use for creating BCI scenarios and saving them for later use. In the designer, the available functions are listed in the right-hand window. The user simply drags and drops the selected functions in the left-hand window. He can then connect boxes together to add processing steps to the scenario being created. Lastly, the application is started by pressing the Play button to run the BCI. . OpenViBE is a library of functions written in C++ which can be integrated and applied quickly and easily using modules. The platform's main advantages are modularity, portability, availability of different tools for different types of user, including programmers and non-programmers, superior code performance and compatibility with virtual reality technologies. . The software also offers many 2D and 3D visualization tools to represent brain activity in real time. It is compatible with many EEG- and MEG-type machines because of its generic acquisition server. . OpenViBE offers many pre-configured scenarios for different applications including mental imagery, neurofeedback, P300 signals, etc... . This package contains the shared libraries. Package: openvibe-plugins Source: openvibe Version: 0.14.3+dfsg2-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5095 Depends: neurodebian-popularity-contest, openvibe-libs (= 0.14.3+dfsg2-1~nd12.04+1), openvibe-data (= 0.14.3+dfsg2-1~nd12.04+1), libalut0 (>= 1.0.1), libboost-regex1.46.1 (>= 1.46.1-1), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.12.0), libgtk2.0-0 (>= 2.18.0), libitpp7, liblapack3gf | liblapack.so.3gf | libatlas3gf-base, libopenal1 (>= 1:1.13), libpango1.0-0 (>= 1.14.0), libstdc++6 (>= 4.6), libvorbisfile3 (>= 1.1.2), libvrpnserver0, libx11-6 Homepage: http://openvibe.inria.fr Priority: extra Section: libs Filename: pool/main/o/openvibe/openvibe-plugins_0.14.3+dfsg2-1~nd12.04+1_i386.deb Size: 1611832 SHA256: 4dd016f09a43c831551150fcb52d02192dbeea1766dba3b6a0161e0ff008380b SHA1: a8a0f2ae050d438cada286d003f042d1d612dd33 MD5sum: 1c00e27a451771ba4785b394de7ad2f4 Description: Software platform for BCI (plugins) OpenViBE enables to design, test and use Brain-Computer Interfaces (BCI). OpenViBE is a software for real-time neurosciences (that is, for real-time processing of brain signals). It can be used to acquire, filter, process, classify and visualize brain signals in real time. . The graphical user interface of OpenViBE is simple to access and very easy to use for creating BCI scenarios and saving them for later use. In the designer, the available functions are listed in the right-hand window. The user simply drags and drops the selected functions in the left-hand window. He can then connect boxes together to add processing steps to the scenario being created. Lastly, the application is started by pressing the Play button to run the BCI. . OpenViBE is a library of functions written in C++ which can be integrated and applied quickly and easily using modules. The platform's main advantages are modularity, portability, availability of different tools for different types of user, including programmers and non-programmers, superior code performance and compatibility with virtual reality technologies. . The software also offers many 2D and 3D visualization tools to represent brain activity in real time. It is compatible with many EEG- and MEG-type machines because of its generic acquisition server. . OpenViBE offers many pre-configured scenarios for different applications including mental imagery, neurofeedback, P300 signals, etc... . This package contains the plugins. Package: openwalnut-modules Source: openwalnut Version: 1.3.1+hg5849-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 14489 Depends: neurodebian-popularity-contest, libbiosig1, libboost-filesystem1.46.1 (>= 1.46.1-1), libboost-regex1.46.1 (>= 1.46.1-1), libboost-signals1.46.1 (>= 1.46.1-1), libboost-system1.46.1 (>= 1.46.1-1), libboost-thread1.46.1 (>= 1.46.1-1), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libnifti2, libopenscenegraph80, libopenthreads14, libopenwalnut1, libstdc++6 (>= 4.6) Homepage: http://www.openwalnut.org Priority: extra Section: science Filename: pool/main/o/openwalnut/openwalnut-modules_1.3.1+hg5849-1~nd12.04+1_i386.deb Size: 5140380 SHA256: 9a83a1cfafd9ac45a78c6056e1d44b345ccec317e0f841ba5ad576d5bed6bf45 SHA1: 731f92da973b8918c011ea08118f045f08a2b1e5 MD5sum: 70fca0fe04f99aa867628caba6716f47 Description: Loaders, algorithms and visualization modules for OpenWalnut OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the currently available modules for OpenWalnut. Package: openwalnut-qt4 Source: openwalnut Version: 1.3.1+hg5849-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1595 Depends: neurodebian-popularity-contest, libboost-filesystem1.46.1 (>= 1.46.1-1), libboost-program-options1.46.1 (>= 1.46.1-1), libboost-regex1.46.1 (>= 1.46.1-1), libboost-system1.46.1 (>= 1.46.1-1), libboost-thread1.46.1 (>= 1.46.1-1), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libopenscenegraph80, libopenthreads14, libopenwalnut1, libqt4-opengl (>= 4:4.6.0), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.8.0), libqtwebkit4 (>= 2.2~2011week36), libstdc++6 (>= 4.6), libx11-6 Recommends: openwalnut-modules (= 1.3.1+hg5849-1~nd12.04+1) Homepage: http://www.openwalnut.org Priority: extra Section: science Filename: pool/main/o/openwalnut/openwalnut-qt4_1.3.1+hg5849-1~nd12.04+1_i386.deb Size: 760690 SHA256: 4c73282b2773d735a7aa838ebda15707fa0d98d7b526a541eb8ca27707bdc537 SHA1: 3ae7c6de66d8fba5c4c646328d4f97843d8cfd41 MD5sum: 2e823acda757e743a1e9eb0fbbf7f31d Description: Qt based user interface for OpenWalnut OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the QT4 GUI for OpenWalnut. Package: 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9277 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~nd12.04+1_all.deb Size: 5822196 SHA256: a2fa6db3af44f641097903239b83aebe087d20b59eed43d61ba9b127a44a88fc SHA1: d865f582d38f1c11b35156f3f41b6ecec22933d9 MD5sum: 8cd3467fd7011ba23807de9fceaf69a2 Description: environment for creating psychology stimuli in Python PsychoPy provides an environment for creating psychology stimuli using Python scripting language. It combines the graphical strengths of OpenGL with easy Python syntax to give psychophysics a free and simple stimulus presentation and control package. . The goal is to provide, for the busy scientist, tools to control timing and windowing and a simple set of pre-packaged stimuli and methods. PsychoPy features . - IDE GUI for coding in a powerful scripting language (Python) - Builder GUI for rapid development of stimulation sequences - Use of hardware-accelerated graphics (OpenGL) - Integration with Spectrascan PR650 for easy monitor calibration - Simple routines for staircase and constant stimuli experimental methods as well as curve-fitting and bootstrapping - Simple (or complex) GUIs via wxPython - Easy interfaces to joysticks, mice, sound cards etc. via PyGame - Video playback (MPG, DivX, AVI, QuickTime, etc.) as stimuli Python-Version: 2.7 Package: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.11.20131017.dfsg1-2~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 49635 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_3.0.11.20131017.dfsg1-2~nd12.04+1_all.deb Size: 19937334 SHA256: 03d73b3d7d9dc72b2dc78116051451238ed1fa927399b3afd4675b635c2534f3 SHA1: 14c8eaab18f15a56df77c36c18fdc0473485cf22 MD5sum: 0e808fe09789383ca25d783166a57c17 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: 3.0.11.20131017.dfsg1-2~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2360 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.11.20131017.dfsg1-2~nd12.04+1) Homepage: http://psychtoolbox.org Priority: extra Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.11.20131017.dfsg1-2~nd12.04+1_i386.deb Size: 835272 SHA256: a5a7275f3d0be4c3530b79eb3acfd5b1f33fa44c9dbbbdf7f6541a2fb51fafb4 SHA1: 4a611e59de5c59b63b8b08949a006e6253169f0c MD5sum: b43f2421e650a899ac2bbe9a754eed9c 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: 3.0.11.20131017.dfsg1-2~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 140 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfontconfig1 (>= 2.8.0), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 4.6) 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_3.0.11.20131017.dfsg1-2~nd12.04+1_i386.deb Size: 62680 SHA256: 4fb2c53f4da8a2cc49cc4de23fae43792faa6cd8ed67c20f763daca0259a3883 SHA1: 61cd7edd526094df0e4ce0948dbfe8a83b8e03c4 MD5sum: d9a273916463a1e431ee85ebf5a7adfc 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: 1.4.1-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 190 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.6.1), python-numpy-abi9, python-support (>= 0.90.0), libbiosig1, libc6 (>= 2.4), libcholmod1.7.1 (>= 1:3.4.0), libgcc1 (>= 1:4.1.1), libpython2.7 (>= 2.7), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: python Filename: pool/main/b/biosig4c++/python-biosig_1.4.1-1~nd12.04+1_i386.deb Size: 55094 SHA256: 5bed47221e2de90823b20706589c90dfd2ae295c909b61ab6143a8d4c0b63889 SHA1: 9baf7c8d6d020eb666d2d597044e0ccc6243cdb5 MD5sum: b192ab4e2c5aa6b9f8f3770042d732f5 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2336 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-brian-lib (>= 1.4.1-1~nd12.04+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~nd12.04+1_all.deb Size: 549166 SHA256: 541e11301a9398f8d77338a51a61ad3ef7f6a40327e22ce9c56bbf766edd3215 SHA1: fb52fa438a689e0cc10560357dfbf34551a705b7 MD5sum: 5db98c4eeb1c8d00fe730309b10daad3 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6799 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~nd12.04+1_all.deb Size: 2245652 SHA256: 2fbc7a93c51dfc29fc312bbbca9a70d0c9aca014f7af0a07c826e6781bc8564f SHA1: d297cb4e18f5c07737ba4c3e04697f280cda222a MD5sum: 2ac50e95d6831462dbfe81fd85cb0d33 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 128 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.6.1), python-numpy-abi9, python-support (>= 0.90.0), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.4.0) Homepage: http://www.briansimulator.org/ Priority: extra Section: python Filename: pool/main/b/brian/python-brian-lib_1.4.1-1~nd12.04+1_i386.deb Size: 52742 SHA256: d83310eef579d8b8a3e3ce114b4adbd6a54295e6a70f8e5d79db82e12b34a6ec SHA1: 74e473d4aa306f6c3e940a52991bbf3e8f1a2234 MD5sum: ccfd025284d12ded78ed9a5d1e7223ec 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-dicom Source: pydicom Version: 0.9.7-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1790 Depends: neurodebian-popularity-contest, python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8) Recommends: python-numpy, python-imaging Suggests: python-matplotlib Homepage: http://code.google.com/p/pydicom/ Priority: optional Section: python Filename: pool/main/p/pydicom/python-dicom_0.9.7-1~nd12.04+1_all.deb Size: 419144 SHA256: ff2d47b401f993dc306b9e975ec4f391c5b0ec785404dcfbb6947b31e2747260 SHA1: 15ac595edc152a5586adc589d65fb5f9d6b68a7e MD5sum: 356c677bbfecb4505448c0217b0e0b43 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2285 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0), python-numpy, python-scipy, python-dipy-lib (>= 0.6.0-1~nd12.04+1) Recommends: python-matplotlib, python-vtk, python-nose, python-nibabel, python-tables Suggests: ipython Provides: python2.7-dipy Homepage: http://nipy.org/dipy Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy_0.6.0-1~nd12.04+1_all.deb Size: 1586232 SHA256: a01f8b532023b07e12f59ad4c87db9ab1aa2ff7b9756accc058e68b630e59199 SHA1: 642069e62209610a8d99aad3d405dcb061416d08 MD5sum: 4f2372c250f4ff61635216b599ec55ff Description: toolbox for analysis of MR diffusion imaging data Dipy is a toolbox for the analysis of diffusion magnetic resonance imaging data. It features: - Reconstruction algorithms, e.g. GQI, DTI - Tractography generation algorithms, e.g. EuDX - Intelligent downsampling of tracks - Ultra fast tractography clustering - Resampling datasets with anisotropic voxels to isotropic - Visualizing multiple brains simultaneously - Finding track correspondence between different brains - Warping tractographies into another space, e.g. MNI space - Reading many different file formats, e.g. Trackvis or NIfTI - Dealing with huge tractographies without memory restrictions - Playing with datasets interactively without storing Python-Version: 2.7 Package: python-dipy-doc Source: dipy Version: 0.6.0-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5067 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~nd12.04+1_all.deb Size: 3611556 SHA256: 125fda03168bc1e8e4d1ed92ca6e4b6abc20691b425a7a76c9aa945ef3870e28 SHA1: 9b24b76f53fd5aec2d512e17cf8eba6bd610a825 MD5sum: 98f7e0d9488cb5469df459525f107f14 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 877 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-support (>= 0.90.0), libc6 (>= 2.4) Provides: python2.7-dipy-lib Homepage: http://nipy.org/dipy Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy-lib_0.6.0-1~nd12.04+1_i386.deb Size: 340686 SHA256: 7dfee2c16a110139c989f6315316bd5f186ee5f3c59e0c36590e6ce8c2b28d34 SHA1: f599c7ac182358925a7f8924c249109bd49845ee MD5sum: 32c4131d993f2c3470c7d7e682011250 Description: toolbox for analysis of MR diffusion imaging data -- extensions Dipy is a toolbox for the analysis of diffusion magnetic resonance imaging data. . This package provides architecture-dependent builds of the extensions. Python-Version: 2.7 Package: python-freenect Source: libfreenect Version: 1:0.1.2+dfsg-6~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 99 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.6.1), python-numpy-abi9, python2.7, libc6 (>= 2.4), libfreenect0.1 (= 1:0.1.2+dfsg-6~nd12.04+1) Suggests: python-matplotlib, python-opencv Provides: python2.7-freenect Homepage: http://openkinect.org/ Priority: extra Section: python Filename: pool/main/libf/libfreenect/python-freenect_0.1.2+dfsg-6~nd12.04+1_i386.deb Size: 38790 SHA256: 9b992a9efe3ce9c2083e71a22f49c05c3ca563164275570987d29fc57b921ef6 SHA1: 491f184ed54ecf05bff6e4a034d95e98457f76e9 MD5sum: 147aa0c8bff5dc2526cd7276ad02885a 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~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1809 Depends: neurodebian-popularity-contest, libboost-python1.46.1 (>= 1.46.1-1), libboost-regex1.46.1 (>= 1.46.1-1), libboost-system1.46.1 (>= 1.46.1-1), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libisis-core0, libpython2.7 (>= 2.7), libstdc++6 (>= 4.6) 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~nd11.10+1+nd12.04+1_i386.deb Size: 481914 SHA256: 5c94bdd1a59b42da23fd26a5e0546154c37a1fe70e5ee06336ebb0c27b6145f3 SHA1: f49acbf0431887f3baa01b0d1debc5f2a83e6464 MD5sum: 11e8f42e3f51ffa29f41d77962ab6f76 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 182 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~nd12.04+1_all.deb Size: 54832 SHA256: 6ce24a39df583f4aab758bc94557d9d1ebde4b9ca4dfd7b97b648b1acc5e1d34 SHA1: 373540cffdd3a0de2ad2a8774f7ed9155b10f956 MD5sum: 9a9b51812d16e39fd7edaff0908441f1 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~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 17 Depends: neurodebian-popularity-contest, python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8), python-numpy Homepage: http://bitbucket.org/apdavison/lazyarray/ Priority: optional Section: python Filename: pool/main/l/lazyarray/python-lazyarray_0.1.0-1~nd11.10+1+nd12.04+1_all.deb Size: 7346 SHA256: 119a709e7c8d3e6452027994781665214ff7df777b409d2ecfbbbf805c1c6240 SHA1: ca46afca4f6d4e692a37427d5a85d3eb2f6f2c86 MD5sum: 69478e3c00645627a84e5b965942f006 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-mdp Source: mdp Version: 3.3+git6-g7bbd889-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1495 Depends: neurodebian-popularity-contest, python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8), 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+git6-g7bbd889-1~nd12.04+1_all.deb Size: 478618 SHA256: d515003bbfa0d0dc1208aae5e2bda578fa80925cf08dccd1da3e152097d9e916 SHA1: 1e9e9e6faeef010409ee186e9a4031b4d790cc3e MD5sum: ffed437993bb7b44c052aaa1deac99ff 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-mpi4py Source: mpi4py Version: 1.3+hg20120611-2~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1350 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libopenmpi1.3, python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8), mpi-default-bin Suggests: python-numpy Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: python Filename: pool/main/m/mpi4py/python-mpi4py_1.3+hg20120611-2~nd12.04+1_i386.deb Size: 429864 SHA256: 3d2bf3e9b89038ab49753b39d56a96d72c91bb4170b06dd87a109d562f021335 SHA1: 08af87fc141cf243d8557dc8ffb79d0cf3d372a7 MD5sum: face0721d8e2149baa391f2f6e27fc8e Description: bindings of the Message Passing Interface (MPI) standard MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). Package: python-mpi4py-dbg Source: mpi4py Version: 1.3+hg20120611-2~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2502 Depends: neurodebian-popularity-contest, python-mpi4py (= 1.3+hg20120611-2~nd12.04+1) Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: debug Filename: pool/main/m/mpi4py/python-mpi4py-dbg_1.3+hg20120611-2~nd12.04+1_i386.deb Size: 834376 SHA256: 667e81da8e1439a81d9267611733e023fd9d3dd6e6f40e720b7e24593f7b0381 SHA1: 800006439ab66d97eb7d288e88809da70bdfafe4 MD5sum: 85bcf1ede3c5269c8b385e6f888faa57 Description: bindings of the MPI standard -- debug symbols MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). . This package provides debug symbols. Package: python-mpi4py-doc Source: mpi4py Version: 1.3+hg20120611-2~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 275 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-mpi4py Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: doc Filename: pool/main/m/mpi4py/python-mpi4py-doc_1.3+hg20120611-2~nd12.04+1_all.deb Size: 76606 SHA256: 3707b5fef00c097c3b5c0a49250d73374c29f36a93d1033acfd1118115a5b1e1 SHA1: 50a93fe441f840a56622b062161ea4ea211d9b7b MD5sum: 356fa1f7b509bf0e06d6a13a1a183499 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~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3547 Depends: neurodebian-popularity-contest, python (>= 2.5), python-numpy, python-support (>= 0.90.0), python2.7, python-mvpa-lib (>= 0.4.8-1~nd11.10+1+nd12.04+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: python2.7-mvpa Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa/python-mvpa_0.4.8-1~nd11.10+1+nd12.04+1_all.deb Size: 2205054 SHA256: 157565eb22e6a64cca8e7b9369dccf884a44fd2b483184b2f9740d4818cc3f3d SHA1: 522691bdde24041e16a7feadd234cc1866586da4 MD5sum: 2f14582aa4fdd1736736b78e7026ef43 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: 2.7 Package: python-mvpa-doc Source: pymvpa Version: 0.4.8-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 37578 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~nd11.10+1+nd12.04+1_all.deb Size: 8480396 SHA256: 0b362f8c219e02d176900b865bc51b26b54f6350eacf1d66bcae93a48b3415ff SHA1: eaafef89dd957e059ad348d1038e565c8ecf0db8 MD5sum: 0bee5fc34f30a40bb7a1e3b88f187d5b 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~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 100 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libsvm3, python (<< 2.8), python (>= 2.7), python-support (>= 0.90.0), python-numpy Provides: python2.7-mvpa-lib Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa/python-mvpa-lib_0.4.8-1~nd11.10+1+nd12.04+1_i386.deb Size: 44278 SHA256: 9c215d98189843e43b29cc902a83b4227a2e2134660f4b1a6df3abe70b62963e SHA1: 8cdfd890973a8c34466b31e52b4f450604490f3b MD5sum: 215be5b82b204bcdc04d0f48a37016b6 Description: low-level implementations and bindings for PyMVPA This is an add-on package for the PyMVPA framework. It provides a low-level implementation of an SMLR classifier and custom Python bindings for the LIBSVM library. Python-Version: 2.7 Package: python-mvpa2 Source: pymvpa2 Version: 2.2.0-3~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4241 Depends: neurodebian-popularity-contest, python, python-numpy, python-support (>= 0.90.0), python-mvpa2-lib (>= 2.2.0-3~nd12.04+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: python2.7-mvpa2 Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2_2.2.0-3~nd12.04+1_all.deb Size: 2400322 SHA256: 01568ea516b95d014aec18cd74991af69b88e355d65ba7f312c75ad3a499e243 SHA1: ae9eb373ffc81263f5a29c2e34c8335d134dfccc MD5sum: 2f27cdfc6d34ed63fcc3680c436010b0 Description: multivariate pattern analysis with Python v. 2 PyMVPA eases pattern classification analyses of large datasets, with an accent on neuroimaging. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, Ridge Regressions, Sparse Multinomial Logistic Regression), and bindings to external machine learning libraries (libsvm, shogun). . While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it is eminently suited for such datasets. . This is a package of PyMVPA v.2. Previously released stable version is provided by the python-mvpa package. Python-Version: 2.7 Package: python-mvpa2-doc Source: pymvpa2 Version: 2.2.0-3~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 17221 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~nd12.04+1_all.deb Size: 5141836 SHA256: 650527004c9dbc0947be00aed3704363c4b28ea10be0afac88a510bc577cdb8b SHA1: 18e27d2d3df5469f1c3b99b52edb6dce71de6838 MD5sum: 6d851bcfb4f2e78c24ac64cbc7e4d13c 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libsvm3, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.6.1), python-numpy-abi9, python-support (>= 0.90.0) Provides: python2.7-mvpa2-lib Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2-lib_2.2.0-3~nd12.04+1_i386.deb Size: 48980 SHA256: 2e5a5e2f597e9856166b999b069c0163aad7f0b919bb3e4ba0980da79711ab3f SHA1: 29f928fce135201b14b8bc7dd3d148fa4cbd5fab MD5sum: 9a852758206de60d6d8c8ce0f5168468 Description: low-level implementations and bindings for PyMVPA v. 2 This is an add-on package for the PyMVPA framework. It provides a low-level implementation of an SMLR classifier and custom Python bindings for the LIBSVM library. . This is a package of a development snapshot. The latest released version is provided by the python-mvpa-lib package. Python-Version: 2.7 Package: python-neo Source: neo Version: 0.3.1-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2484 Depends: neurodebian-popularity-contest, python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8), python-numpy (>= 1:1.3~), python-quantities (>= 0.9.0~) Recommends: python-scipy (>= 0.8~), python-tables (>= 2.2~), libjs-jquery, libjs-underscore Suggests: python-nose Homepage: http://neuralensemble.org/trac/neo Priority: extra Section: python Filename: pool/main/n/neo/python-neo_0.3.1-1~nd12.04+1_all.deb Size: 1441910 SHA256: 846f14600db6e66d375a1cf9e8d3ecb81878389cc5b3e3722631ba6baceb0dc3 SHA1: f39d6875e0249728fe7d3abc50ca39e194c88da6 MD5sum: 776b9a3b910b8908abcde1fc18073bab Description: Python IO library for electrophysiological data formats NEO stands for Neural Ensemble Objects and is a project to provide common classes and concepts for dealing with electro-physiological (in vivo and/or simulated) data to facilitate collaborative software/algorithm development. In particular Neo provides: a set a classes for data representation with precise definitions, an IO module with a simple API, documentation, and a set of examples. . NEO offers support for reading data from numerous proprietary file formats (e.g. Spike2, Plexon, AlphaOmega, BlackRock, Axon), read/write support for various open formats (e.g. KlustaKwik, Elan, WinEdr, WinWcp, PyNN), as well as support common file formats, such as HDF5 with Neo-structured content (NeoHDF5, NeoMatlab). . Neo's IO facilities can be seen as a pure-Python and open-source Neuroshare replacement. Package: python-neuroshare Version: 0.8.5-1~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 54 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.6.1), python-numpy-abi9, 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~nd11.10+1+nd12.04+1_i386.deb Size: 19286 SHA256: 3aef3dff990538390b7d1c8209c230ee9040df49b0b5feac395375204b1b0d7d SHA1: f54156b0169838cbe72d5a0312210e1dfb97f249 MD5sum: d1bc95e224b88e17509fa7738c5d1fc2 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: 2.7 Package: python-neurosynth Source: neurosynth Version: 0.3-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 83 Depends: neurodebian-popularity-contest, python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8), python-numpy, python-scipy, python-nibabel, python-ply Recommends: python-nose, fsl-mni152-templates Suggests: python-testkraut Homepage: http://neurosynth.org Priority: extra Section: python Filename: pool/main/n/neurosynth/python-neurosynth_0.3-1~nd12.04+1_all.deb Size: 32524 SHA256: 27b0be2cf8a587add547129ac1dda06a3b91425c3424fe158a65e1f9d4b2ed65 SHA1: 3a483f8f8559a01e10bd69466f6cb3a5c424ad57 MD5sum: 0f1cd4f35fbab87210af56d863cb5631 Description: large-scale synthesis of functional neuroimaging data NeuroSynth is a platform for large-scale, automated synthesis of functional magnetic resonance imaging (fMRI) data extracted from published articles. This Python module at the moment provides functionality for processing the database of collected terms and spatial coordinates to generate associated spatial statistical maps. Package: python-nibabel Source: nibabel Version: 1.3.0-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4152 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: python2.7-nibabel Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python-nibabel_1.3.0-1~nd12.04+1_all.deb Size: 1816162 SHA256: 88819d664d277fbcc5e26832b67fcab70ad6ffd4d5e6973b607cd008dd514ab8 SHA1: 2819a59270ae2436d44aaa5b6a3347d3d2a3f2fe MD5sum: 825ab55abef608f9c8dfd6fdb8f234e2 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: 2.7 Package: python-nibabel-doc Source: nibabel Version: 1.3.0-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2431 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~nd12.04+1_all.deb Size: 437630 SHA256: a5d1d7d9218c6754de56bd0cdd756022594a71b565d56c3a1a1ca9299c282079 SHA1: aa02540d99de86531ca794d2029c7d71a75e306b MD5sum: 1da3073ae4c852e35e465bdc3279db3f Description: documentation for NiBabel NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package provides the documentation in HTML format. Package: python-nipy Source: nipy Version: 0.3.0-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2863 Depends: neurodebian-popularity-contest, python (>= 2.5), python-numpy (>= 1:1.2), python-support (>= 0.90.0), python-scipy, python-nibabel, python-nipy-lib (>= 0.3.0-1~nd12.04+1) Recommends: python-matplotlib, mayavi2, python-sympy Suggests: python-mvpa Provides: python2.7-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: python Filename: pool/main/n/nipy/python-nipy_0.3.0-1~nd12.04+1_all.deb Size: 784402 SHA256: 73b2c0475c69675e669a4e995e07bc3d94d24e7b2234311509760b7fe1cff75f SHA1: f7f02bcf31fe4bc7c5135ddd44160fe422e55242 MD5sum: 3bfc464329d59fbfdfe9f1b61b3312b0 Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. It provides functionality for - General linear model (GLM) statistical analysis - Combined slice time correction and motion correction - General image registration routines with flexible cost functions, optimizers and re-sampling schemes - Image segmentation - Basic visualization of results in 2D and 3D - Basic time series diagnostics - Clustering and activation pattern analysis across subjects - Reproducibility analysis for group studies Python-Version: 2.7 Package: python-nipy-doc Source: nipy Version: 0.3.0-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10210 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~nd12.04+1_all.deb Size: 3836640 SHA256: 980dc8bd38195c3893f6be77835ab0a832d05ae11ca2caa2a07ff90cbb1f54bb SHA1: 9a4cc3019c8209c5385648d15ea1e3fcebec058b MD5sum: e2ce5718b1a3279635a0c43f1d376805 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1235 Depends: neurodebian-popularity-contest, libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.4), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.6.1), python-numpy-abi9, python-support (>= 0.90.0) Provides: python2.7-nipy-lib Homepage: http://neuroimaging.scipy.org Priority: extra Section: python Filename: pool/main/n/nipy/python-nipy-lib_0.3.0-1~nd12.04+1_i386.deb Size: 473300 SHA256: 86081f9a8deb5eecd3d6ffa68e33833dd4e756b40078eb55e67202d3b6ad1847 SHA1: 48eaac27145cc8e838221337e75fdc8edf754b4a MD5sum: 30dc71884643ee2744d3d92d8a24eac5 Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides architecture-dependent builds of the libraries. Python-Version: 2.7 Package: python-nipy-lib-dbg Source: nipy Version: 0.3.0-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1399 Depends: neurodebian-popularity-contest, libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.4), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.6.1), python-numpy-abi9, python-support (>= 0.90.0), python-nipy-lib (= 0.3.0-1~nd12.04+1) Provides: python2.7-nipy-lib-dbg Homepage: http://neuroimaging.scipy.org Priority: extra Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbg_0.3.0-1~nd12.04+1_i386.deb Size: 537882 SHA256: 0061c26a2a17c06adfdb6db7fc2a8a5bd876e8ba7dfc194a0f14eccc41577797 SHA1: 1c58f7fc0ee07c986ee2a4b2484162b5aa15823c MD5sum: da6a59c779d3dda2fcd70e093baf861a Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides debugging symbols for architecture-dependent builds of the libraries. Python-Version: 2.7 Package: python-nipype Source: nipype Version: 0.8-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2657 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: python2.7-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: python Filename: pool/main/n/nipype/python-nipype_0.8-1~nd12.04+1_all.deb Size: 591968 SHA256: 379cf11578c24ac249098a9a0b30a7234eb700b39562873a286b1503e17eb10f SHA1: 51074a67de422c4a7502587180933342e553b2ea MD5sum: 0e446230a480bc6f7347066c36621c31 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15033 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~nd12.04+1_all.deb Size: 7161770 SHA256: 1ffcc3129dec315afb2510f22005a43a1799feabe95c2fecbfa0563df859d4b6 SHA1: 15794c5f36f7a56b2485ae212532095fdeda1f0d MD5sum: b03108e25f8f85139b86aa4f3db44a5f 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9294 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~nd12.04+1_all.deb Size: 3908918 SHA256: de2749874abdd7d0bfd2a5c7c3347a3ae0eb16ea268c181298e412232f995363 SHA1: 7f090b879ce7198ff6dd8a5a329b325aa27e50c6 MD5sum: a8ef238a666742742803586226b3161e 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6795 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~nd12.04+1_all.deb Size: 5296608 SHA256: e9ab9bb447b6cc8771152c44ebe90c1ffd3977555fc3db8da22956bd8102410e SHA1: 5336c6cd6243a1c58c9845a1dea1e2408033c67a MD5sum: a72da32d9822a50975c57f8e1be46130 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-numpydoc Source: numpydoc Version: 0.4-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 118 Depends: neurodebian-popularity-contest, python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8), python-sphinx (>= 1.0.1) Suggests: python-matplotlib Homepage: https://github.com/numpy/numpy/tree/master/doc/sphinxext Priority: optional Section: python Filename: pool/main/n/numpydoc/python-numpydoc_0.4-1~nd12.04+1_all.deb Size: 30416 SHA256: f0ec6c6bb8bbf961ad97650bcdd1fe22fd339aae379cf0734062e2ad4e6db3e3 SHA1: e8213cba00b6930e0a7711398e1e1d69efe5837f MD5sum: c04cb18fa2d37487d90476988c1b5c66 Description: Sphinx extension to support docstrings in Numpy format This package defines several extensions for the Sphinx documentation system, shipped in the numpydoc Python package. In particular, these provide support for the Numpy docstring format in Sphinx. Package: python-openopt Source: openopt Version: 0.38+svn1589-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 954 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0), python-numpy Recommends: python-scipy, python-cvxopt, python-matplotlib, python-setproctitle Suggests: lp-solve Conflicts: python-scikits-openopt Replaces: python-scikits-openopt Provides: python2.7-openopt Homepage: http://www.openopt.org Priority: extra Section: python Filename: pool/main/o/openopt/python-openopt_0.38+svn1589-1~nd12.04+1_all.deb Size: 245070 SHA256: c6d2c1cf48ce88af0d065731ab604db6b11738340fa4bdcce47f2bc8ee4f255e SHA1: be29b8639736fec932e1186ecba123ac9885261b MD5sum: 8e53da6514861d3666b0b66f6db764c7 Description: Python module for numerical optimization Numerical optimization framework developed in Python which provides connections to lots of solvers with easy and unified OpenOpt syntax. Problems which can be tackled with OpenOpt * Linear Problem (LP) * Mixed-Integer Linear Problem (MILP) * Quadratic Problem (QP) * Non-Linear Problem (NLP) * Non-Smooth Problem (NSP) * Non-Linear Solve Problem (NLSP) * Least Squares Problem (LSP) * Linear Least Squares Problem (LLSP) * Mini-Max Problem (MMP) * Global Problem (GLP) . A variety of solvers is available (e.g. IPOPT, ALGENCAN). Python-Version: 2.7 Package: python-openpyxl Source: openpyxl Version: 1.6.1+hg2-g4bff8e3-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 291 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0) Recommends: python-nose Homepage: http://bitbucket.org/ericgazoni/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python-openpyxl_1.6.1+hg2-g4bff8e3-1~nd12.04+1_all.deb Size: 62046 SHA256: 2a9f5beb01e770e9b06ee571c6351c96cca06395d73008cd7bb2c054a77f0ea3 SHA1: d9bd8cad4d7e37b27651bcb187db50ecf2c4f4dc MD5sum: ec8d6ab1acc835b448117f19b978aaca 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: 0.12.0-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5629 Depends: neurodebian-popularity-contest, python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8), python-dateutil, python-tz, python-numpy (>= 1:1.6~), python-pandas-lib (>= 0.12.0-1~nd12.04+1), python-six Recommends: python-scipy, python-matplotlib, python-tables, python-numexpr, python-xlrd, python-statsmodels, python-openpyxl, python-xlwt, python-bs4, python-html5lib Suggests: python-pandas-doc Provides: python2.7-pandas Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas_0.12.0-1~nd12.04+1_all.deb Size: 1080662 SHA256: fd7b38e38dbd83099425b44d34245d92a946d22d0aaa4e944c3246b4893ac787 SHA1: b008d9984dd142fc4fc151729dd771936da0056d MD5sum: 86eb8ed163d109e548c29de0f39ec47b Description: data structures for "relational" or "labeled" data pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 2 version. Package: python-pandas-lib Source: pandas Version: 0.12.0-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3881 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), python-numpy (>= 1:1.6.1), python-numpy-abi9, python2.7, python (>= 2.7), python (<< 2.8) Provides: python2.7-pandas-lib Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas-lib_0.12.0-1~nd12.04+1_i386.deb Size: 1355944 SHA256: 63316a76d669c2d650f1f7500bc844675d78a83992f27cfe6ca4df2e4018cd60 SHA1: aa9362ea83e49400ab08ba5c2958243d2865e970 MD5sum: 1632f2012db7b920ff73f8b354afaff9 Description: low-level implementations and bindings for pandas This is an add-on package for python-pandas providing architecture-dependent extensions. . This package contains the Python 2 version. Python-Version: 2.7 Package: python-patsy Source: patsy Version: 0.2.1-2~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 542 Depends: neurodebian-popularity-contest, python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8), python-numpy Recommends: python-pandas Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python-patsy_0.2.1-2~nd12.04+1_all.deb Size: 141564 SHA256: 967040e917b658af501cc4d04d4260bdc8a6a738f04ecc4de9c866a1a53c6b08 SHA1: 0f0a83272dbdf8b5d254e9f15b6520e3101294b6 MD5sum: 39b8191173dbe155917fe41ec943618e Description: statistical models in Python using symbolic formulas patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design matrices. . This package contains the Python 2 version. Package: python-patsy-doc Source: patsy Version: 0.2.1-2~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 827 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-patsy Homepage: http://github.com/pydata/patsy Priority: optional Section: doc Filename: pool/main/p/patsy/python-patsy-doc_0.2.1-2~nd12.04+1_all.deb Size: 271784 SHA256: a65d12784dc20e99fc9b79107393a82f6f6831e393f0d761e62dc07ef3456db0 SHA1: a04be342269bcfb071c8b2cdca30fd9c027e4ed8 MD5sum: 9ff3d44623742bcf40e79bd3d5c7db8e Description: documentation and examples for patsy This package contains documentation and example scripts for python-patsy. Package: python-pp Source: parallelpython Version: 1.6.2-2~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 119 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~nd12.04+1_all.deb Size: 34276 SHA256: ab62cec05fc9f0a9305943c5ff846339715c8c7dfe90329c84dcb579c387f522 SHA1: 34efa2eef021e6ee1a8ba277579f2a8b263b4d54 MD5sum: ff73261f718ab0f59e7f09c2c9513f39 Description: parallel and distributed programming toolkit for Python Parallel Python module (pp) provides an easy and efficient way to create parallel-enabled applications for SMP computers and clusters. pp module features cross-platform portability and dynamic load balancing. Thus application written with PP will parallelize efficiently even on heterogeneous and multi-platform clusters (including clusters running other application with variable CPU loads). Python-Version: 2.7 Package: python-pyentropy Source: pyentropy Version: 0.4.1-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 73 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0), python-numpy (>= 1.3) Recommends: python-scipy Suggests: python-nose Provides: python2.7-pyentropy Homepage: http://code.google.com/p/pyentropy Priority: extra Section: python Filename: pool/main/p/pyentropy/python-pyentropy_0.4.1-1~nd12.04+1_all.deb Size: 21328 SHA256: ddd9ba108b54448eea94d0ae6ea3ee5d64d53ddf5ce1a495b6d2cf3fcc3fb990 SHA1: 54e328922f69edc526dd9e4fee36c0a579751237 MD5sum: a54388c4f18d1e1d251afce2e209e3f1 Description: Python module for estimation information theoretic quantities A Python module for estimation of entropy and information theoretic quantities using cutting edge bias correction methods, such as * Panzeri-Treves (PT) * Quadratic Extrapolation (QE) * Nemenman-Shafee-Bialek (NSB) Python-Version: 2.7 Package: python-pyepl Source: pyepl Version: 1.1.0+git12-g365f8e3-2~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1324 Depends: neurodebian-popularity-contest, python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8), python-pyepl-common (= 1.1.0+git12-g365f8e3-2~nd12.04+1), python-numpy, python-imaging, python-pygame, python-pyode, python-opengl, ttf-dejavu, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libode1, libsamplerate0 (>= 0.1.7), libsndfile1 (>= 1.0.20), libstdc++6 (>= 4.4.0) Conflicts: python2.3-pyepl, python2.4-pyepl Replaces: python2.3-pyepl, python2.4-pyepl Provides: python2.7-pyepl Homepage: http://pyepl.sourceforge.net/ Priority: optional Section: python Filename: pool/main/p/pyepl/python-pyepl_1.1.0+git12-g365f8e3-2~nd12.04+1_i386.deb Size: 355920 SHA256: 81c7d0f9f753d118230e5a9d44a89ddb9d731731028e2755a4f9d605ad18dde7 SHA1: 64ed45e744e714322c4635641156506d5de2abbb MD5sum: 23a7248c0fb672a0ed53e868c5bd3af0 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 813 Depends: neurodebian-popularity-contest, python Homepage: http://pyepl.sourceforge.net/ Priority: optional Section: python Filename: pool/main/p/pyepl/python-pyepl-common_1.1.0+git12-g365f8e3-2~nd12.04+1_all.deb Size: 818242 SHA256: a2bbd0b4134d2aae2b812dbde7714e73b029b13fa2b43f83b15ebdf0c6af78e8 SHA1: 213bf6d1e19704dea9aeac05a7860e42695d7256 MD5sum: ba4c40d75364bba40c3327e6faefbd79 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-pynn Source: pynn Version: 0.7.5-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 763 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0) Recommends: python-jinja2, python-cheetah Suggests: python-neuron, python-brian, python-csa Homepage: http://neuralensemble.org/trac/PyNN Priority: extra Section: python Filename: pool/main/p/pynn/python-pynn_0.7.5-1~nd12.04+1_all.deb Size: 175770 SHA256: fe6e3032350714f860c4c2b7720692ef7ef01d69cb7b075d00f1b164f7ffe727 SHA1: 5a5347319df65e9930dae7e44ff885eeb610503f MD5sum: fa0cbb1bd44a13d0fe2bc52cac2ca0de 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 9494 Depends: neurodebian-popularity-contest, python (>= 2.7.1-0ubuntu2), libc6 (>= 2.4), liblo7 (>= 0.26~repack), libportaudio2 (>= 19+svn20101113), libportmidi0, libsndfile1 (>= 1.0.20), python2.7, python (<< 2.8) 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~nd12.04+1_i386.deb Size: 4798332 SHA256: e2df3924ed22cc690cf4b49faad0991d864b1db29677ccb0e242ed4cedc6e1c3 SHA1: 22a965d0ad649ce9b423fa92ca5d1b31ffc21559 MD5sum: 47b10acbb1f7f0cf8800ec753d5693e0 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-pypsignifit Source: psignifit3 Version: 3.0~beta.20120611.1-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1480 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.6), python (<< 2.8), python (>= 2.7), python-support (>= 0.90.0), python-numpy, python-matplotlib, python-scipy Homepage: http://psignifit.sourceforge.net Priority: extra Section: python Filename: pool/main/p/psignifit3/python-pypsignifit_3.0~beta.20120611.1-1~nd12.04+1_i386.deb Size: 426906 SHA256: b6303ef23e4e2260fa08efe2c468c0318a4e8e2b7c66e94d527aedb080c1aed7 SHA1: ffcbc1ee6a1df566fc7ccd7303a73bbfe66c9db9 MD5sum: 92154a8576d34d843e29708687732ec0 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-pyxnat Source: pyxnat Version: 0.9.1+git39-g96bf069-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 862 Depends: neurodebian-popularity-contest, python-lxml, python-simplejson, python-httplib2 (>= 0.7.0) Recommends: python-networkx, python-matplotlib Homepage: http://packages.python.org/pyxnat/ Priority: extra Section: python Filename: pool/main/p/pyxnat/python-pyxnat_0.9.1+git39-g96bf069-1~nd12.04+1_all.deb Size: 190346 SHA256: 251e5eee918d64f1c8bf4cd4c1e155433e42d04c034ff9c9abda5633ff611f6c SHA1: 5e173439a42b6c0d59cb373bb402c6e1868df3f1 MD5sum: c4c2961165b4dc02a1c076d63045e85b Description: Interface to access neuroimaging data on XNAT servers pyxnat is a simple Python library that relies on the REST API provided by the XNAT platform since its 1.4 version. XNAT is an extensible database for neuroimaging data. The main objective is to ease communications with an XNAT server to plug-in external tools or Python scripts to process the data. It features: . - resources browsing capabilities - read and write access to resources - complex searches - disk-caching of requested files and resources Package: python-quantities Version: 0.10.1-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 301 Depends: neurodebian-popularity-contest, python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8), python-numpy (>= 1.4) Homepage: http://packages.python.org/quantities/ Priority: extra Section: python Filename: pool/main/p/python-quantities/python-quantities_0.10.1-1~nd11.10+1+nd12.04+1_all.deb Size: 58804 SHA256: e8cc2d0a4d86512648fb8593ef8dbc22e198d5a23dba4290c2fad574a1705185 SHA1: db73d2cfddb1e9b6e19e5f8d674d94cb8b5f10b3 MD5sum: 34ca36fdfe957727bfb6967fddc589f5 Description: Library for computation of physical quantities with units, based on numpy Quantities is designed to handle arithmetic and conversions of physical quantities, which have a magnitude, dimensionality specified by various units, and possibly an uncertainty. Quantities builds on the popular numpy library and is designed to work with numpy ufuncs, many of which are already supported. Package: python-scikits-learn Source: scikit-learn Version: 0.14.1-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 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~nd12.04+1_all.deb Size: 33362 SHA256: 31c13e1f5c69f6b3fe73a5b549f0dfad0389b1627872c7e4deef086fa3a7c0f2 SHA1: 96d688afd858bd8689f13c15e7d218c56a30f72a MD5sum: 8fb165ef8c3826a372ae84f0f8ff8636 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: 0.5.0-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9 Depends: neurodebian-popularity-contest, python-statsmodels Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: oldlibs Filename: pool/main/s/statsmodels/python-scikits.statsmodels_0.5.0-1~nd12.04+1_all.deb Size: 5644 SHA256: 81b2847e6dd356b960096d8852026279a697f0891afdabd75324771d35da4219 SHA1: 6595d21ccb1350359ca19e6f36cc653a4a917dec MD5sum: de7aad820573dd302128f9a240bf7245 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-skimage Source: skimage Version: 0.6.1-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3641 Depends: neurodebian-popularity-contest, python (>= 2.6), python-numpy, python-support (>= 0.90.0), python2.7, python-scipy (>= 0.9), python-skimage-lib (>= 0.6.1-1~nd12.04+1), libfreeimage3 Recommends: python-nose, python-matplotlib (>= 1.0), python-imaging Suggests: python-skimage-doc, python-opencv Provides: python2.7-skimage Homepage: http://scikits-image.org Priority: optional Section: python Filename: pool/main/s/skimage/python-skimage_0.6.1-1~nd12.04+1_all.deb Size: 2539146 SHA256: b2d5c79f9c1219dcc1e7946d05c7c58a028485e0bcb1b00d73fd82a2fc8ce936 SHA1: c43d51b7b5ebc4d015d5a423853efacc091432fc MD5sum: 526222710563493309ed1208f5edc660 Description: Python modules for image processing scikits-image is a collection of image processing algorithms for Python. It performs tasks such as image loading, filtering, morphology, segmentation, color conversions, and transformations. Package: python-skimage-doc Source: skimage Version: 0.6.1-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4867 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-skimage Homepage: http://scikits-image.org Priority: optional Section: doc Filename: pool/main/s/skimage/python-skimage-doc_0.6.1-1~nd12.04+1_all.deb Size: 3591424 SHA256: 0e4f5f1b5ceb2c4a2eb1bd63d6f8c0a3729b53ca04d8a80d1a8e63e23dd5bd32 SHA1: 8e6083120069f5be3820340df0ceb062cfdf028e MD5sum: a1f61e601d45c9f39bd4ba98c54b6847 Description: Documentation and examples for scikits-image This package contains documentation and example scripts for python-skimage. Package: python-skimage-lib Source: skimage Version: 0.6.1-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1043 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.6.1), python-numpy-abi9, python-support (>= 0.90.0) Recommends: python-skimage Provides: python2.7-skimage-lib Homepage: http://scikits-image.org Priority: optional Section: python Filename: pool/main/s/skimage/python-skimage-lib_0.6.1-1~nd12.04+1_i386.deb Size: 418668 SHA256: d79a91c6f775b95651e214d5b25ec8bdaab3033c6e7e7586cec7c0634ae1d854 SHA1: cf567e9ced26a6bd3f651e1bffdc973fc5e2fdad MD5sum: 76f0b7138cb3586f4c094770622452e9 Description: Optimized low-level algorithms for scikits-image This is an add-on package for python-skimage. It provides optimized, low-level implementations of algorithms. Python-Version: 2.7 Package: python-sklearn Source: scikit-learn Version: 0.14.1-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3549 Depends: neurodebian-popularity-contest, python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8), python-numpy, python-scipy, python-sklearn-lib (>= 0.14.1-1~nd12.04+1), python-joblib (>= 0.4.5) Recommends: python-nose, python-matplotlib Suggests: python-dap, python-scikits-optimization, python-sklearn-doc, ipython Enhances: python-mdp, python-mvpa2 Breaks: python-scikits-learn (<< 0.9~) Replaces: python-scikits-learn (<< 0.9~) Provides: python2.7-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-sklearn_0.14.1-1~nd12.04+1_all.deb Size: 1103698 SHA256: 3fdeb6f83236eea97239fa8754795841a4d681684a669fecd85bb324a56c51b8 SHA1: c98a313238747adf136ae530f5a8767c0e2a7d65 MD5sum: 1727a0bae4724bbb05cd0f3b1cd88328 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 579 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~nd12.04+1_all.deb Size: 190052 SHA256: 94fab5bf875e775b42d918e35328b2879c54e9ef48a8ad7ce123504e0fbf4d9b SHA1: 19e79dd551dd5424a152974f86285dace9111f53 MD5sum: 8aec872b9a6896364c724fa71f31a5ac 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~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3594 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), python-numpy (>= 1:1.6.1), python-numpy-abi9, python2.7, python (>= 2.7), python (<< 2.8) Conflicts: python-scikits-learn-lib Replaces: python-scikits-learn-lib Provides: python2.7-sklearn-lib Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-sklearn-lib_0.14.1-1~nd12.04+1_i386.deb Size: 1410306 SHA256: be628fab128f515188b15f55d1feb89aab993a37bc47add5e4b6c5904d140f4a SHA1: 526551d29d8ccec2a4d9d5ca74d3d25e17599c0c MD5sum: 6d3ef74790cbb9722e537d197aee5ed3 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-spykeutils Source: spykeutils Version: 0.4.0-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2015 Depends: neurodebian-popularity-contest, python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8), python-scipy, python-quantities, python-neo (>= 0.2.1), python-nose, python-sphinx Recommends: python-guidata, python-guiqwt, python-tables, libjs-jquery, libjs-underscore, python-sklearn (>= 0.11), python-joblib (>= 0.4.5) Provides: python2.7-spykeutils Homepage: https://github.com/rproepp/spykeutils Priority: extra Section: python Filename: pool/main/s/spykeutils/python-spykeutils_0.4.0-1~nd12.04+1_all.deb Size: 400872 SHA256: 0e9cdc8416bdb389c66353c18977196945631ce88f72d56ed71042aca373dc56 SHA1: 0928823167fdeb9ea7705b5d40aabbe8148e6333 MD5sum: 9408a0eb155fc6aacbd0b7d801f84555 Description: utilities for analyzing electrophysiological data spykeutils is a Python library for analyzing and plotting data from neurophysiological recordings. It can be used by itself or in conjunction with Spyke Viewer, a multi-platform GUI application for navigating electrophysiological datasets. Package: python-statsmodels Source: statsmodels Version: 0.5.0-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20309 Depends: neurodebian-popularity-contest, python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8), python-numpy, python-scipy, python-statsmodels-lib (>= 0.5.0-1~nd12.04+1), python-patsy 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: python2.7-statsmodels Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: python Filename: pool/main/s/statsmodels/python-statsmodels_0.5.0-1~nd12.04+1_all.deb Size: 4668824 SHA256: 0539430689364d488d46c8809c6b8c357e9dffdde7bd7c25473a39b585951192 SHA1: 4396bb38104c53d0e49fdde445a4bdc273481b75 MD5sum: 2fb758c0c8250d94f061224035432d36 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: 0.5.0-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 29874 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_0.5.0-1~nd12.04+1_all.deb Size: 7060402 SHA256: b797b9a6e9e601d739fb0b54a95681826916d2221ddf8fdff5e057af43a1a9a9 SHA1: 51df3b3e188e055010777e8d200f20c3f940c88c MD5sum: 5590937444cd73845f88b4f8a530a433 Description: documentation and examples for statsmodels This package contains HTML documentation and example scripts for python-statsmodels. Package: python-statsmodels-lib Source: statsmodels Version: 0.5.0-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 250 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.6.1), python-numpy-abi9, python2.7, python (>= 2.7), python (<< 2.8), libc6 (>= 2.4) Conflicts: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Replaces: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: python Filename: pool/main/s/statsmodels/python-statsmodels-lib_0.5.0-1~nd12.04+1_i386.deb Size: 97906 SHA256: f0f0bd9c15d6d658801648a0e7780ec6d5b0b17168566cfd8c7761eaa21f0a14 SHA1: bbd926a1d1a8d846916e280aaa32da487db74510 MD5sum: 6081ad1aecd582b802bf307a7657d2e0 Description: low-level implementations and bindings for statsmodels This package contains architecture dependent extensions for python-statsmodels. Package: python-stfio Source: stimfit Version: 0.13.2-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 700 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7.1-0ubuntu2), python-numpy (>= 1:1.6.1), python-numpy-abi9, python2.7, libbiosig1, libc6 (>= 2.4), libcholmod1.7.1 (>= 1:3.4.0), libgcc1 (>= 1:4.1.1), libhdf5-serial-1.8.4 | libhdf5-1.8.4, libpython2.7 (>= 2.7), libstdc++6 (>= 4.2.1) Recommends: python-matplotlib, python-scipy Provides: python2.7-stfio Homepage: http://www.stimfit.org Priority: optional Section: python Filename: pool/main/s/stimfit/python-stfio_0.13.2-1~nd12.04+1_i386.deb Size: 250740 SHA256: 00e538ad7ad651561c7c24f185529efe7619727ae575680138014f59411a5e64 SHA1: 642fb9f3d5e1e802362f2b2b1dfda7e1b3576372 MD5sum: bacaa626b24f5ee154edc65671b6588c 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 93 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~nd12.04+1_all.deb Size: 28016 SHA256: fd4a0787b83bdc6cc7dc4a09768b63fed71f0c8edd1b79f546c6099764d32235 SHA1: fa2a6482c1b0fad09935a62e2abe30f83aa2bfa7 MD5sum: 5e852946add3d76dde9d292d9def3d10 Description: visualize Freesurfer's data in Python This is a Python package for visualization and interaction with cortical surface representations of neuroimaging data from Freesurfer. It extends Mayavi’s powerful visualization engine with a high-level interface for working with MRI and MEG data. . PySurfer offers both a command-line interface designed to broadly replicate Freesurfer’s Tksurfer program as well as a Python library for writing scripts to efficiently explore complex datasets. Python-Version: 2.7 Package: python-traits4 Source: python-traits Version: 4.0.0-1~cbp1~nd11.04+1+nd11.10+1+nd12.04+1 Architecture: i386 Bugs: mailto:bugs@neuro.debian.net Maintainer: NeuroDebian Team Installed-Size: 1662 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python (<< 2.8), python (>= 2.7), python-support (>= 0.90.0) Suggests: python-traitsui Conflicts: python-traits (>= 4.0~) Homepage: http://pypi.python.org/pypi/traits Priority: optional Section: python Filename: pool/main/p/python-traits/python-traits4_4.0.0-1~cbp1~nd11.04+1+nd11.10+1+nd12.04+1_i386.deb Size: 337900 SHA256: 52a0ffe7df1b92f78834ee1f857b5e042492b2d181b181130eda887033bb1f91 SHA1: 7a642c312025515ba4175cef3011c3b704e8bde8 MD5sum: 7e840c67904a685adc4cd2940fba45ea 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~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 114 Depends: neurodebian-popularity-contest, tzdata, python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8) Homepage: http://pypi.python.org/pypi/pytz/ Priority: optional Section: python Filename: pool/main/p/python-tz/python-tz_2012c-1~nd12.04+1_all.deb Size: 39076 SHA256: 5e5a0c4143db73704376f78d5393a8d2562d1090e1ce0971aa074845eb6c7365 SHA1: d587a5c518fc1e8cc2b100cbcfdfa5ef3130e89e MD5sum: 1f27dc834f8849b16c7551116a435410 Description: Python version of the Olson timezone database python-tz brings the Olson tz database into Python. This library allows accurate and cross platform timezone calculations using Python 2.3 or higher. It also solves the issue of ambiguous times at the end of daylight savings, which you can read more about in the Python Library Reference (datetime.tzinfo). Package: python-visionegg Source: visionegg Version: 1.2.1-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1726 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgl1-mesa-glx, python-numpy (>= 1:1.6.1), python-numpy-abi9, python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8) Homepage: http://www.visionegg.org Priority: optional Section: python Filename: pool/main/v/visionegg/python-visionegg_1.2.1-1~nd12.04+1_i386.deb Size: 665498 SHA256: a2cd81db9d4ac28dc0cc1b806f3a957991ba49dee2ab9630760db36b5bfbedbb SHA1: ee1e5b61a3e934053654a8619f4acfe8779a1cf4 MD5sum: b323589a549b243a05b4a18090bfa2f7 Description: Python library for 2D/3D visual stimulus generation The Vision Egg is a programming library that uses standard, inexpensive computer graphics cards to produce visual stimuli for vision research experiments. Package: python-workqueue Source: cctools Version: 3.4.2-1~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 217 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8) Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: python Filename: pool/main/c/cctools/python-workqueue_3.4.2-1~nd11.10+1+nd12.04+1_i386.deb Size: 77122 SHA256: 3b697a113bf0486cf04c8f9b680d0496ab5e6fd6b9f9f8ed97cd86fd09709c8f SHA1: ffe665509540be86a86d1f432b4a6bab0e77307c MD5sum: b6eff0c58ce538a5022f6f55f7b52483 Description: cooperative computing tools work queue Python bindings CCTools's Work Queue is a system and API for building master-worker style programs that scale up to thousands of processors. This package provides bindings to access this system from Python. Package: python3-dateutil Version: 2.0+dfsg1-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 153 Depends: neurodebian-popularity-contest, python3 (>= 3.1.3-13~), tzdata Homepage: http://labix.org/python-dateutil Priority: optional Section: python Filename: pool/main/p/python3-dateutil/python3-dateutil_2.0+dfsg1-1~nd12.04+1_all.deb Size: 49686 SHA256: 44eb8a99c2b13b8bd30809e636ea82734f3632c0e30dfe46e767aba4aaac530c SHA1: d7b1ee6c7d91825d3ae29daf32b386a697764c0d MD5sum: 62681c6efef26912ccad3d3e1c74dc26 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-mdp Source: mdp Version: 3.3+git6-g7bbd889-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1457 Depends: neurodebian-popularity-contest, python3 (>= 3.1.3-13~), python3-numpy Homepage: http://mdp-toolkit.sourceforge.net/ Priority: optional Section: python Filename: pool/main/m/mdp/python3-mdp_3.3+git6-g7bbd889-1~nd12.04+1_all.deb Size: 472476 SHA256: 2bc4470eac01996dfa8237bde53d42f433ac6367220e8cccf791b9d294ebe191 SHA1: ceee8aec82712893687f3de5bcd1dfd03dea5c4d MD5sum: c46ba24a20b25f1f2557623154156144 Description: Modular toolkit for Data Processing Python data processing framework for building complex data processing software by combining widely used machine learning algorithms into pipelines and networks. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Independent Slow Feature Analysis (ISFA), Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA), and Gaussian Classifiers. . This package contains MDP for Python 3. Package: python3-mpi4py Source: mpi4py Version: 1.3+hg20120611-2~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1316 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libopenmpi1.3, python3 (>= 3.2), python3 (<< 3.3) Recommends: mpi-default-bin Suggests: python3-numpy Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: python Filename: pool/main/m/mpi4py/python3-mpi4py_1.3+hg20120611-2~nd12.04+1_i386.deb Size: 423086 SHA256: 99c0b53f53d24a993df5938506ee3387111fdd81791cc63d7c953978f8050285 SHA1: 9942cd96a231e69bb85dcb929135836889fbed8b MD5sum: f4c160aa42f77d7d247a42d29483b3c2 Description: bindings of the Message Passing Interface (MPI) standard MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). Package: python3-mpi4py-dbg Source: mpi4py Version: 1.3+hg20120611-2~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2467 Depends: neurodebian-popularity-contest, python3-mpi4py (= 1.3+hg20120611-2~nd12.04+1) Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: debug Filename: pool/main/m/mpi4py/python3-mpi4py-dbg_1.3+hg20120611-2~nd12.04+1_i386.deb Size: 826618 SHA256: e6771dca5571c0b96da6610b0dd51c1c02ac2837d784ef7c82f2095630064d33 SHA1: c3a7a72438532800245428e00e9f42cd4da01ab3 MD5sum: 1498eecff5fafcabf870781ed1a6cefe Description: bindings of the MPI standard -- debug symbols MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). . This package provides debug symbols. Package: python3-pandas Source: pandas Version: 0.12.0-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5575 Depends: neurodebian-popularity-contest, python3 (>= 3.2), python3-dateutil, python3-tz, python3-numpy (>= 1:1.6~), python3-pandas-lib (>= 0.12.0-1~nd12.04+1) Recommends: python3-scipy, python3-matplotlib, python3-numexpr, python3-tables, python3-bs4, python3-html5lib, python3-six Suggests: python-pandas-doc Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas_0.12.0-1~nd12.04+1_all.deb Size: 1076246 SHA256: 24629e73739f8be39f137093dd25a3ab441152eb7d6792e617aeac3da82c0b22 SHA1: 2400b825286cbf1aad602a6be48006dbdfc04b16 MD5sum: 22c7330b674e3b8e3e80710499949009 Description: data structures for "relational" or "labeled" data - Python 3 pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 3 version. Package: python3-pandas-lib Source: pandas Version: 0.12.0-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3849 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), python3 (>= 3.2), python3 (<< 3.3), python3-numpy Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas-lib_0.12.0-1~nd12.04+1_i386.deb Size: 1324636 SHA256: 2f4e199f6b838f067e5e1682482413de42434b3164407c695036cd76b8891c36 SHA1: 29bda518af79a5268693ca143f40ff5d7e56bcd1 MD5sum: 6d8e1448e6e0b7819c9953b622f1de06 Description: low-level implementations and bindings for pandas - Python 3 This is an add-on package for python-pandas providing architecture-dependent extensions. . This package contains the Python 3 version. Package: python3-patsy Source: patsy Version: 0.2.1-2~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 537 Depends: neurodebian-popularity-contest, python3 (>= 3.2), python3-numpy Recommends: python3-pandas Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python3-patsy_0.2.1-2~nd12.04+1_all.deb Size: 140878 SHA256: b338086767250665439ef5ee656f4b75747fe8334d298351beaf8b9047035bd8 SHA1: 276693017615fecea3693ac8a13c840f2b392255 MD5sum: f48411936746be315901a5188c2b643e Description: statistical models in Python using symbolic formulas patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design matrices. . This package contains the Python 3 version. Package: python3-tz Source: python-tz Version: 2012c-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 107 Depends: neurodebian-popularity-contest, tzdata, python3 (>= 3.1.3-13~) Homepage: http://pypi.python.org/pypi/pytz/ Priority: optional Section: python Filename: pool/main/p/python-tz/python3-tz_2012c-1~nd12.04+1_all.deb Size: 31110 SHA256: 27f424360b0610de71d2281248500e85f830a8e931e4c4eeb3d8d218513f0b23 SHA1: bf1c3ee7248c84b5f1dbd09a2a789bc0c243d1ca MD5sum: 81bd1a01652926741eea5c70cd2072a4 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: qnifti2dicom Source: nifti2dicom Version: 0.4.6-2~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2833 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libgdcm2.0, libinsighttoolkit3.20, libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.5.3), libstdc++6 (>= 4.6), libvtk5.8, libvtk5.8-qt4, nifti2dicom (= 0.4.6-2~nd12.04+1), nifti2dicom-data (= 0.4.6-2~nd12.04+1) Homepage: https://github.com/biolab-unige/nifti2dicom Priority: optional Section: science Filename: pool/main/n/nifti2dicom/qnifti2dicom_0.4.6-2~nd12.04+1_i386.deb Size: 636078 SHA256: 4cef56c9428c39fa23ff6022461d7f02e59cacc5cac1e01b76bd0711cab565f8 SHA1: 4c18fe6cdbf648e209b75f66e93e3a8243021869 MD5sum: fb44be504ee4f4ff32da9eb8346ccfc6 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: remake Version: 3.82+dbg0.9+dfsg-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 285 Depends: neurodebian-popularity-contest, libc6 (>= 2.11), libreadline6 (>= 6.0) Homepage: http://bashdb.sourceforge.net/remake Priority: extra Section: devel Filename: pool/main/r/remake/remake_3.82+dbg0.9+dfsg-1~nd12.04+1_i386.deb Size: 173526 SHA256: 320a740074a6f351c29b61acee48dfadfefed285ca3846ec59415e9e12a72059 SHA1: a356075c0d45b9753e6087a05d9ea52252459661 MD5sum: 35678aaf5bab7fb1e4116c31c17e82cf Description: GNU make fork with improved error reporting and debugging Modernized version of GNU make utility that adds improved error reporting, the ability to trace execution in a comprehensible way, and a debugger. Some of the features of the debugger are: * see the target call stack * set breakpoints on targets * show and set variables * execute arbitrary "make" code * issue shell commands while stopped in the middle of execution * inspect target descriptions * write a file with the commands of the target expanded Package: spm8-common Source: spm8 Version: 8.5236~dfsg.1-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 18626 Depends: neurodebian-popularity-contest Recommends: spm8-data, spm8-doc Priority: extra Section: science Filename: pool/main/s/spm8/spm8-common_8.5236~dfsg.1-1~nd12.04+1_all.deb Size: 10747760 SHA256: f2995cdaf4676933a4158d79a1eada6dc9321714c2f14fbdbdf0d246fd07381f SHA1: 31c5b4cbfba815812413a92d50e30610bd5b3033 MD5sum: 372feeb5e1535ecfd97b0f48839093d3 Description: analysis of brain imaging data sequences Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provides the platform-independent M-files. Package: spm8-data Source: spm8 Version: 8.5236~dfsg.1-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 73046 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/s/spm8/spm8-data_8.5236~dfsg.1-1~nd12.04+1_all.deb Size: 52176876 SHA256: d3a5268ccf35f741f9cf59605f78345ac61ecb07bb8c01bfb316ceafe81269fe SHA1: 7a6973208307ff01cf0717ebbda5df2c82abf005 MD5sum: f21ec46fddd30a2ae0fe355ee4c01bba Description: data files for SPM8 Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provide the data files shipped with the SPM distribution, such as various stereotaxic brain space templates and EEG channel setups. Package: spm8-doc Source: spm8 Version: 8.5236~dfsg.1-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 9401 Depends: neurodebian-popularity-contest Priority: extra Section: doc Filename: pool/main/s/spm8/spm8-doc_8.5236~dfsg.1-1~nd12.04+1_all.deb Size: 8648994 SHA256: 322ebbb54b520746a660d41d6b88cd85033741a0f6d1322c1e9f17b868e371fd SHA1: b12832b37ef5c2dc669ec210c2fda133a813f40d MD5sum: 3bdf0a02f35291934fb90f7e12e436fb Description: manual for SPM8 Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provides the SPM manual in PDF format. Package: spykeviewer Version: 0.4.0-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1119 Depends: neurodebian-popularity-contest, python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8), python-guidata, python-guiqwt (>= 2.1.4), python-spyderlib, python-spykeutils (>= 0.4.0), python-neo (>= 0.2.1), python-matplotlib, python-scipy, python-nose, python-sphinx, python-tables Recommends: libjs-jquery, libjs-underscore, ipython-qtconsole (>= 0.12) Homepage: http://www.ni.tu-berlin.de/software/spykeviewer Priority: extra Section: python Filename: pool/main/s/spykeviewer/spykeviewer_0.4.0-1~nd12.04+1_all.deb Size: 574738 SHA256: 14cf4b5c5555d9fb3dff9615637ccc3ee45150d40c1bd2eef823eb2d152ef41f SHA1: 68ebe18caab186edf959ef48e15462729007a4e7 MD5sum: eece40053188043facb5f15e700818a2 Description: graphical utility for analyzing electrophysiological data Spyke Viewer is a multi-platform GUI application for navigating, analyzing and visualizing electrophysiological datasets. Based on the Neo framework, it works with a wide variety of data formats. Spyke Viewer includes an integrated Python console and a plugin system for custom analyses and plots. Package: stabilitycalc Version: 0.1-1~nd11.04+1+nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 119 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0), python-numpy, python-matplotlib, python-scipy, python-nifti Recommends: python-dicom Homepage: https://github.com/bbfrederick/stabilitycalc Priority: extra Section: science Filename: pool/main/s/stabilitycalc/stabilitycalc_0.1-1~nd11.04+1+nd11.10+1+nd12.04+1_all.deb Size: 28730 SHA256: add473af6d9eb0497a244d721862483deeb0fd562cabf84305eefa9e9c522897 SHA1: f6952357804556ee3b33d3242d205b4aa3cc49c7 MD5sum: 472471b057239fd1029854d1f42c735e Description: evaluate fMRI scanner stability Command-line tools to calculate numerous fMRI scanner stability metrics, based on the FBIRN quality assurance test protocal. Any 4D volumetric timeseries image in NIfTI format is support input. Output is a rich HTML report. Python-Version: 2.7 Package: stimfit Version: 0.13.2-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2226 Depends: neurodebian-popularity-contest, libbiosig1, libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.4), libcholmod1.7.1 (>= 1:3.4.0), libfftw3-3, libgcc1 (>= 1:4.1.1), libhdf5-serial-1.8.4 | libhdf5-1.8.4, liblapack3gf | liblapack.so.3gf | libatlas3gf-base, libpython2.7 (>= 2.7), libstdc++6 (>= 4.4.0), libwxbase2.8-0 (>= 2.8.12.1), libwxgtk2.8-0 (>= 2.8.12.1), python (>= 2.7.1-0ubuntu2), python-numpy (>= 1:1.6.1), python-numpy-abi9, python2.7, 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_0.13.2-1~nd12.04+1_i386.deb Size: 820306 SHA256: 4bb3c2df403d7e8442a238466ace9b5e02c13d1c84e30d3f813e4ac40c62c7bf SHA1: 30c6282987d501605d48f7514bd17013f8e55b1b MD5sum: f12964ad1ae39a5fb071e0117e1ef9a1 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: 0.13.2-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10576 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_0.13.2-1~nd12.04+1_i386.deb Size: 4113454 SHA256: 3cf2cef0547c3e4c5c11717f1b14f280855cd43de23ddd4418c09f70ff5df39f SHA1: 6fac55293891630bacb34ce9c6b4c10b0defe142 MD5sum: 6e364fa044caae1bcfc58a4757af2552 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: testkraut Version: 0.0.1-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 358 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-numpy, libjs-underscore, libjs-jquery, python-argparse Recommends: strace, python-scipy, python-colorama, python-apt Homepage: https://github.com/neurodebian/testkraut Priority: extra Section: python Filename: pool/main/t/testkraut/testkraut_0.0.1-1~nd12.04+1_all.deb Size: 99594 SHA256: 67cab9b7c779f963fb4cdd501878d78e45f462601868990f829fe9bfdc7fd325 SHA1: 8d6344c0c06c876467678560b03d0e185c6c97e5 MD5sum: 74b55de26e189ab9a6b7c97f1d733816 Description: test and evaluate heterogeneous data processing pipelines This is a framework for software testing. That being said, testkraut tries to minimize the overlap with the scopes of unit testing, regression testing, and continuous integration testing. Instead, it aims to complement these kinds of testing, and is able to re-use them, or can be integrated with them. . In a nutshell testkraut helps to facilitate statistical analysis of test results. In particular, it focuses on two main scenarios: . * Comparing results of a single (test) implementation across different or changing computational environments (think: different operating systems, different hardware, or the same machine before an after a software upgrade). * Comparing results of different (test) implementations generating similar output from identical input (think: performance of various signal detection algorithms). . While such things can be done using other available tools as well, testkraut aims to provide a lightweight, yet comprehensive description of a test run. Such a description allows for decoupling test result generation and analysis – opening up the opportunity to “crowd-source” software testing efforts, and aggregate results beyond the scope of a single project, lab, company, or site. Python-Version: 2.7 Package: via-bin Source: via Version: 2.0.4-2~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 546 Depends: neurodebian-popularity-contest, lesstif2 (>= 1:0.94.4), libc6 (>= 2.7), libpng12-0 (>= 1.2.13-4), libvia2, libx11-6, 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~nd11.10+1+nd12.04+1_i386.deb Size: 168430 SHA256: c717b9c12d9fddc877c744c2d4310097a1d849b42dafc86b9a2165b60dd9b2bb SHA1: d7ae5d22525362ac84fabca859ad1437901db797 MD5sum: fdf3d7dcd630cb64ec5472dcf61244f6 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: 7.3-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 41 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.4.0), libvw0 (= 7.3-1~nd12.04+1) Suggests: vowpal-wabbit-doc Homepage: http://hunch.net/~vw/ Priority: optional Section: science Filename: pool/main/v/vowpal-wabbit/vowpal-wabbit_7.3-1~nd12.04+1_i386.deb Size: 20530 SHA256: e192857b65c49c23acea736531067653f90d92100ffcd56e7ad725fe951299a1 SHA1: a2e3c643a2ed664ed6af57a98ebb9e848ddf25cb MD5sum: 9ab604ce61e1ab8ef7db5909ab770f62 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: vowpal-wabbit-dbg Source: vowpal-wabbit Version: 7.3-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5262 Depends: neurodebian-popularity-contest, vowpal-wabbit (= 7.3-1~nd12.04+1) Homepage: http://hunch.net/~vw/ Priority: extra Section: debug Filename: pool/main/v/vowpal-wabbit/vowpal-wabbit-dbg_7.3-1~nd12.04+1_i386.deb Size: 2013552 SHA256: 319b263db76164bf1d898edf2e6a09d3127810d7497d73cae6c420fb5b6c00e9 SHA1: 225620fb059bf59827862ee2c42c34bed071ca5f MD5sum: 8aa9bb276f72a62f146ffc2529035634 Description: fast and scalable online machine learning algorithm - debug files 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 . This package contains debug symbols for the binaries shipped by vowpal-wabbit packages. Package: vowpal-wabbit-doc Source: vowpal-wabbit Version: 7.3-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 70918 Depends: neurodebian-popularity-contest Recommends: vowpal-wabbit Homepage: http://hunch.net/~vw/ Priority: optional Section: doc Filename: pool/main/v/vowpal-wabbit/vowpal-wabbit-doc_7.3-1~nd12.04+1_all.deb Size: 50202392 SHA256: 8fe71c3ad76acac1d58d7b100005c3fd7533ec52a969d22b7ee311a3a59d8b9c SHA1: 19d0a8afda5d7cc5c002aa69041fb0f4ced976d1 MD5sum: f944be3d128553cc5761e11c385af764 Description: fast and scalable online machine learning algorithm - documentation 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 . This package contains examples (tests) for vowpal-wabbit. Package: vrpn Version: 07.30+dfsg-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 281 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libvrpn0 (= 07.30+dfsg-1~nd12.04+1), libvrpnserver0 (= 07.30+dfsg-1~nd12.04+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: utils Filename: pool/main/v/vrpn/vrpn_07.30+dfsg-1~nd12.04+1_i386.deb Size: 65726 SHA256: a484bc9382aaa56f2be81f545b1ef65985eb3bcf16e33b9fdfefb18a95712121 SHA1: b02146b7b630ef4a0fe556155779859b604c05af MD5sum: 6abe2f881e01679498701c5e67f7d330 Description: Virtual Reality Peripheral Network (executables) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the executables like the VRPN server. Package: vrpn-dbg Source: vrpn Version: 07.30+dfsg-1~nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3420 Depends: neurodebian-popularity-contest, libvrpn0 (= 07.30+dfsg-1~nd12.04+1), libvrpnserver0 (= 07.30+dfsg-1~nd12.04+1), vrpn (= 07.30+dfsg-1~nd12.04+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: debug Filename: pool/main/v/vrpn/vrpn-dbg_07.30+dfsg-1~nd12.04+1_i386.deb Size: 1291276 SHA256: e50161618dcfb3aea93ad7e915e44d06d3b15a4fbae724eebf1511bb165a100c SHA1: a46a50624a6ba956eeca977cc49ce2580653c31c MD5sum: ca5fece2b9fcafd5ddca1886a5659d3d 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~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 472 Depends: neurodebian-popularity-contest, lesstif2 (>= 1:0.94.4), libc6 (>= 2.7) Priority: optional Section: libs Filename: pool/main/x/xmhtml/xmhtml1_1.1.7-17~nd11.10+1+nd12.04+1_i386.deb Size: 247922 SHA256: 38c88ffed8c1f504df88f4c70a4b6023741a34d63e283a065642f90f0155c7ec SHA1: 9361818b84602dc0bca51999c141d1dc35a9362c MD5sum: 70bbc2cb58e9ad56cff079fa22575d96 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~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 831 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~nd11.10+1+nd12.04+1_i386.deb Size: 341518 SHA256: 86358f5a3f880c35ff23f77c1b8af79c526eb26469c77af24ba4dbda049e4a77 SHA1: b1fa22489507f236db4d100130dbe72ec12bc26e MD5sum: 05598e33f6bc245c752e4277d60f5975 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~nd11.10+1+nd12.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5817 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~nd11.10+1+nd12.04+1_i386.deb Size: 4145810 SHA256: e9bf73d3c457d4989b183796f4cb41649a53bc8433d89ec6339ad78cdf8cb4cb SHA1: 0e04678e5c9f42581aa4a8c9417cdceed996caf8 MD5sum: f1a7e4230a0fd1ea1d2b9e524fb3597d 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.