Package: ants Version: 1.9.2+svn680.dfsg-3~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 41318 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_amd64.deb Size: 12457454 SHA256: f0ba107336f2700deefb323874304772d39530be6eb66fa479ddd9191b756be3 SHA1: fb9f16a562d8965e4f563d7d3b73aa40aff764f9 MD5sum: f143cea82a5ab70e9087daeccf2bdcd3 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: 0.96.3+svn2677-3~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: neurodebian-popularity-contest, libbiosig0, libc6 (>= 2.4), libcholmod1.7.1 (>= 1:3.4.0), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: science Filename: pool/main/b/biosig4c++/biosig-tools_0.96.3+svn2677-3~nd11.10+1+nd12.04+1_amd64.deb Size: 14310 SHA256: b859b8c7270210a5456d3b68b0d21fec396514412d2d605df7c1a9fff5da38bc SHA1: 8f9eb14db20bf05662098cab6c2276a1509561e9 MD5sum: 1fb703e5a3120304d887192ad301e584 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 990 Depends: neurodebian-popularity-contest, libc6 (>= 2.14) 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_amd64.deb Size: 357194 SHA256: 25f5dde3cff668ed93053a1673d95c1abc6519b9b30ac0abee14a83a52758084 SHA1: 93834335d1f21a2b3e5b84465ef26754eaf79101 MD5sum: e17ced942c99e56cd4c7bd58c92fdf80 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: 2.2.1-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 10481 Depends: neurodebian-popularity-contest, libbz2-1.0, libc6 (>= 2.14), libdcmtk2 (>= 3.6.0), libgcc1 (>= 1:4.1.1), libgomp1 (>= 4.2.1), libmxml1, libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.5.3), libsqlite3-0 (>= 3.5.9), libstdc++6 (>= 4.6), zlib1g (>= 1:1.1.4) Recommends: sri24-atlas Suggests: numdiff Homepage: http://www.nitrc.org/projects/cmtk/ Priority: extra Section: science Filename: pool/main/c/cmtk/cmtk_2.2.1-1~nd12.04+1_amd64.deb Size: 3800992 SHA256: 80af6c3194fefd132d10c803dba8c6e84766579ebe349b28946777e5b5638045 SHA1: df435a79805bcc03dc0133331b17199fca2ffc4c MD5sum: fb104b371e536088af0afa6224addfba Description: Computational Morphometry Toolkit A software toolkit for computational morphometry of biomedical images, CMTK comprises a set of command line tools and a back-end general-purpose library for processing and I/O. . The command line tools primarily provide the following functionality: registration (affine and nonrigid; single and multi-channel; pairwise and groupwise), image correction (MR bias field estimation; interleaved image artifact correction), processing (filters; combination of segmentations via voting and STAPLE; shape-based averaging), statistics (t-tests; general linear regression). Package: condor Version: 7.8.0~dfsg.1-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 10371 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), 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_7.8.0~dfsg.1-1~nd12.04+1_amd64.deb Size: 4172896 SHA256: 1ba160eccfbbd15211a68cf3709dca22164e5a43f3e2ca175ad5238690d03a57 SHA1: 540edcfc63cb5554d3f668b88d41076a1679f744 MD5sum: 829737603b714347f2d4f27923d82306 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: 7.8.0~dfsg.1-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 45701 Depends: neurodebian-popularity-contest, condor (= 7.8.0~dfsg.1-1~nd12.04+1) Homepage: http://research.cs.wisc.edu/condor Priority: extra Section: debug Filename: pool/main/c/condor/condor-dbg_7.8.0~dfsg.1-1~nd12.04+1_amd64.deb Size: 15288912 SHA256: 8c3c3d25161b2d8b04131fea5750acfc4c02d7ba596910b676435dd9e9c7a514 SHA1: 99e8f8a61e9429fdd668574f13ed3bda40540a74 MD5sum: 955beaf04045230d1358d5465018fa81 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: 7.8.0~dfsg.1-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1356 Depends: neurodebian-popularity-contest Homepage: http://research.cs.wisc.edu/condor Priority: extra Section: devel Filename: pool/main/c/condor/condor-dev_7.8.0~dfsg.1-1~nd12.04+1_amd64.deb Size: 355100 SHA256: 3e5d9862bfab7c84821f88a8dbcdbf1cc4442e94061ec9a0463314cc342d68f7 SHA1: bb7782126d7b7b187c8b2f49958cfe448e9989b1 MD5sum: f48200b41d16f1ddec147aa90b89882a 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: 7.8.0~dfsg.1-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5194 Depends: neurodebian-popularity-contest Homepage: http://research.cs.wisc.edu/condor Priority: extra Section: doc Filename: pool/main/c/condor/condor-doc_7.8.0~dfsg.1-1~nd12.04+1_all.deb Size: 1262624 SHA256: 4b5c2158d644ce46957117682d9e4c6fa71e557f8a54d389471c2b32e2e6e9fc SHA1: f169632c976958fc0fe4439ec9218f4276399554 MD5sum: 2a755b7fab85f18ac3352764248e00a1 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3817 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_amd64.deb Size: 1493326 SHA256: a51dd3289f0cf1d73da84433caef30a25c45a8147b246570cb40dcf5eb30a422 SHA1: 6140f6d34ad0fb398a8494774d59d89cb2ff99a1 MD5sum: fd23cf582b2abe9a3ae715044a0ec891 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 956 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_amd64.deb Size: 249172 SHA256: 0372fae7959a1787471fa3299a1bc5f29b0db0f43c7baf02b1df43157e0fda2c SHA1: b3b1efa5eb9e3f69a6e80833b1ab4ad6180dd39d MD5sum: dcd0cd89a229de9981cfe1dc9c9bc824 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: 1.5-1~nd11.04+1+nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 79 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_1.5-1~nd11.04+1+nd11.10+1+nd12.04+1_amd64.deb Size: 38466 SHA256: 7ac77566146a399f6519adb6de39dcfd81273dd0e6582f6a4e0d75c06acc99d6 SHA1: 271e257daa5f43462e25ab63f92ef84c2e7028a5 MD5sum: 46cbd5de4a42a3e5e1403d37de51c5df 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 474 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_amd64.deb Size: 163242 SHA256: de6a7426cb046f5118a019c7cb042587603dd106bbe91427eddecd1d516438c1 SHA1: 0a235c2c03cb533b531782c60342bf4910d8ad70 MD5sum: eb3527d22af1102cf576db201bfa01b4 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: 1.2.4-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1899 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_1.2.4-1~nd11.10+1+nd12.04+1_amd64.deb Size: 817796 SHA256: 11f941855f50c978c8f6c79bcdd803a485f4e6fd43615495553544e6c06d53a4 SHA1: f18b11cad1faf1bcffa3e9d96ac22b470762977f MD5sum: 7c7319bdd53891bd006b1ce743161420 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: 1.2.4-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 18717 Depends: neurodebian-popularity-contest, dmtcp Homepage: http://dmtcp.sourceforge.net Priority: extra Section: debug Filename: pool/main/d/dmtcp/dmtcp-dbg_1.2.4-1~nd11.10+1+nd12.04+1_amd64.deb Size: 5192100 SHA256: 375b8cef15a3fb5594bff1da27f039a864d3afbf5179b9b8ea7dba95b11e82d9 SHA1: 3098b60c6ec11ce7dfc392086afcb58675b19ec7 MD5sum: ee4b25fadbaaa889d0755d9a61805637 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: eegdev-plugins-free Source: eegdev Version: 0.1-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 45 Depends: neurodebian-popularity-contest, libeegdev0 (= 0.1-1~nd11.10+1+nd12.04+1), libc6 (>= 2.7), libexpat1 (>= 1.95.8), libusb-1.0-0 (>= 2:1.0.9~rc3), libxdffileio0 (>= 0.0) Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: libs Filename: pool/main/e/eegdev/eegdev-plugins-free_0.1-1~nd11.10+1+nd12.04+1_amd64.deb Size: 19032 SHA256: 9551ab201eea5f1de9a845236c996e57a3e0f74b5b898f8b56e0663eeef7f1be SHA1: 867f54dbe0aa4049c621a3ec6d0f285cfbafbd74 MD5sum: 794209f7ec5348045540973b7fc6610b 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 20 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_amd64.deb Size: 10940 SHA256: d43fdff2dc7fae919543cf5722fcd6139935a74205010e17da563efe46e0d989 SHA1: 82d555bf30b2f1cb180dc2f186352c75b8dadbc3 MD5sum: ca3b5f04a094f639673dfeb767b3a71c 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: freenect Source: libfreenect Version: 1:0.1.2+dfsg-5~nd11.10+1+nd12.04+1 Architecture: amd64 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-5~nd11.10+1+nd12.04+1_amd64.deb Size: 7262 SHA256: 6aeab7c7160eac13662f4e2e11ff3ad482cb4a8a83fde7520ea495bb87825401 SHA1: 843bcfbf9fddaaff0bb8266c2111f86a64db1301 MD5sum: af8da9fd2495a3ad203431ed25f086da 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: gdf-tools Source: libgdf Version: 0.1.2-2~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 91 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_amd64.deb Size: 34532 SHA256: 1929b041704b200878019c2339bfb9980ae1dcdfd14f8dcc9d6483ad026e120d SHA1: 2fa1731f41ab8c21e956d456332721dbf7508bca MD5sum: c7496551c6454dbb0281b34ee750bb30 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: guacamole Version: 0.5.0-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 255 Depends: neurodebian-popularity-contest, guacd (>= 0.5), guacd (<< 0.6) Recommends: libguac-client-vnc0 Suggests: tomcat6 | jetty Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: net Filename: pool/main/g/guacamole/guacamole_0.5.0-1~nd11.10+1+nd12.04+1_all.deb Size: 234240 SHA256: 5c28772cf3c60990043996002c9c35216f6ffd59a48fd66735977f33d1df34f6 SHA1: 28b9a747186f78d6f48ef681a641e1ae868cbf53 MD5sum: 61b270f34c9ee9bab7587db0cf4d0586 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: 0.5.0-1~nd11.10+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_0.5.0-1~nd11.10+1+nd12.04+1_all.deb Size: 4990 SHA256: 850ddeadaa54768cda09eda402c0a30ba867b8d37d60a5cfe033a689954c894f SHA1: ce489443324f5d13b7ebad02218135f5b996fd27 MD5sum: 4a28115a5c646fd063e4a10f108521f8 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: 0.5.0-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 22 Depends: neurodebian-popularity-contest, lsb-base (>= 3.0-6), libc6 (>= 2.4), libguac2 Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: net Filename: pool/main/g/guacd/guacd_0.5.0-1~nd11.10+1+nd12.04+1_amd64.deb Size: 10854 SHA256: 497e786c70ebd9aba3810a9b167b3bf14b28a4e8e6883622d9abebf54cee353d SHA1: 4d59746ed07978c1c2247b7c87dff7fdf70b5ebf MD5sum: 5ca34ff127a554339c0d0e3b497e7db4 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: ipython01x Version: 0.12-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3351 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-zmq, python-matplotlib Suggests: ipython01x-doc, ipython01x-parallel, ipython01x-qtconsole, 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_0.12-1~nd11.10+1+nd12.04+1_all.deb Size: 913502 SHA256: d67dfaa66d15d1aea36c251992dc6a8c2487fcaa8a2904e96bd5be0681523219 SHA1: 007eabf1000538cd9b2214dd7707e0ca00cb3ad5 MD5sum: 2b0dc08460e78236e43200889cb9a6c9 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 workbooks support. It provides IPython01X module thus not conflicting with system-wide installed IPython Package: ipython01x-doc Source: ipython01x Version: 0.12-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12919 Depends: neurodebian-popularity-contest, libjs-jquery, ipython01x Homepage: http://ipython.org/ Priority: optional Section: doc Filename: pool/main/i/ipython01x/ipython01x-doc_0.12-1~nd11.10+1+nd12.04+1_all.deb Size: 4495376 SHA256: 925e4dc272a06325dd6725695291ff6c6409bb6f347adce60d021576978169dd SHA1: 43e32ca15d97eba023128596c23789e0a084e807 MD5sum: bc40e9a9c3c8c4a95dadd6b788747c46 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-parallel Source: ipython01x Version: 0.12-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 495 Depends: neurodebian-popularity-contest, ipython01x (= 0.12-1~nd11.10+1+nd12.04+1), python-zmq (>= 2.1.4), python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8) 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-parallel_0.12-1~nd11.10+1+nd12.04+1_all.deb Size: 115490 SHA256: d63a51a37a982c4bc51e6eeac478cf277fc0d6760d55ebbfd743e2549f238391 SHA1: efa76fbd9b792a2a8c4ad37653c1ac63b8b93875 MD5sum: c9f1f72098018068d178aa7c616d454b 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 parallel processing facilities. . 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-qtconsole Source: ipython01x Version: 0.12-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 332 Depends: neurodebian-popularity-contest, ipython01x (= 0.12-1~nd11.10+1+nd12.04+1), python-pygments, python-qt4, python-zmq (>= 2.0.10.1), python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8) Homepage: http://ipython.org/ Priority: optional Section: python Filename: pool/main/i/ipython01x/ipython01x-qtconsole_0.12-1~nd11.10+1+nd12.04+1_all.deb Size: 79940 SHA256: 0606f485616ee56ba5f259328c41ae2f6998dd9ce7770d6b61a6541dc40c6324 SHA1: fb7e9382647f810f1b64aebb3645b7363a589a77 MD5sum: 17753a24e04b3dd93b2b3c49d728e684 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 qt console. Package: isis-utils Source: isis Version: 0.4.7-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 359 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 (>= 2.14), 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_amd64.deb Size: 140940 SHA256: e4580dbecc610b0e9b5f2219360ae28447b1d9bf1b6949d2c97fb42bdc40df19 SHA1: 87ca4f405d7a80e6c6237c9b3893bee638b112af MD5sum: 31df8634c9213da68a519c18921eda34 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: 0.96.3+svn2677-3~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1594 Depends: neurodebian-popularity-contest, libbiosig0 (= 0.96.3+svn2677-3~nd11.10+1+nd12.04+1) Homepage: http://biosig.sf.net/ Priority: extra Section: libdevel Filename: pool/main/b/biosig4c++/libbiosig-dev_0.96.3+svn2677-3~nd11.10+1+nd12.04+1_amd64.deb Size: 389952 SHA256: 5c9d1255b86a366d66c8d6509bc52c3067f1fa2aa55bd2666893438628b07965 SHA1: fa3f37d829498d6f1404417db18372333253e747 MD5sum: 34c5078b6984f8ddecafb57c58bcbe7e 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 846 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_amd64.deb Size: 308120 SHA256: 338d00db70559482878c945bd1f6dffd5f6d0fcd6c9d643146dc793d9a491653 SHA1: b3d173954cfc35bdf56e1b550990fecfe4007e77 MD5sum: e35cc49f3e63508fa9b0e1cf6f3fef6a 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 212 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_amd64.deb Size: 67512 SHA256: 9ce1ccbeea46751a8205aa64026188176017c9ad1cce7c62a4cf052ff7e70db7 SHA1: 1af0463418619da04609aeec6059230e01fb1777 MD5sum: d50fa973f45d8ec95ac934337cc509d3 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: 7.8.0~dfsg.1-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1163 Depends: neurodebian-popularity-contest, libclassad3 (= 7.8.0~dfsg.1-1~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_7.8.0~dfsg.1-1~nd12.04+1_amd64.deb Size: 310572 SHA256: 67eb858f5c4e4a84e06e3ff28ce0eef1b54443e8fe98cd493e60d10e01d50473 SHA1: 3fbc7887d5b3357539d0f83f51a5eb12f5177787 MD5sum: 7dd7d523a6d3ca6fc8bfeb0062acd93c 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 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: 7.8.0~dfsg.1-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 488 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_7.8.0~dfsg.1-1~nd12.04+1_amd64.deb Size: 209752 SHA256: f64d4d809dda8bb781beaf309a8e66b7e377f1afbada610a8e44b1db9c2c2d3c SHA1: 2fd751c9fce544022047e2b20243085051e4c112 MD5sum: 7166402a3dd73bf2d30bef1640d983b0 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 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: 1.2.4-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 16 Depends: neurodebian-popularity-contest, libdmtcpaware1 (= 1.2.4-1~nd11.10+1+nd12.04+1) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/d/dmtcp/libdmtcpaware-dev_1.2.4-1~nd11.10+1+nd12.04+1_amd64.deb Size: 6942 SHA256: 5f88a0921f84e862d2acd60843a555d3afa5d437d8003fa0014ca4f72ee8ac0b SHA1: c403b6610f019f250556e17a9b53d1b02c5075c8 MD5sum: a3412103601bb3c21900d909861dc00d 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: 1.2.4-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 15 Depends: neurodebian-popularity-contest, dmtcp, libc6 (>= 2.2.5) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libs Filename: pool/main/d/dmtcp/libdmtcpaware1_1.2.4-1~nd11.10+1+nd12.04+1_amd64.deb Size: 6670 SHA256: 8636faed96787639b044e3f9ef48c397474bbe9d4534014b1f4d39dedaea1c89 SHA1: fdddd34b32ea8996ae8ffb11589b82bd2dc8b35d MD5sum: 1f57ee69285ac43f0ddc880050ecef85 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: libeegdev-dev Source: eegdev Version: 0.1-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 59 Depends: neurodebian-popularity-contest, libeegdev0 (= 0.1-1~nd11.10+1+nd12.04+1) Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: libdevel Filename: pool/main/e/eegdev/libeegdev-dev_0.1-1~nd11.10+1+nd12.04+1_amd64.deb Size: 25326 SHA256: ba23401aaade384a1c117e34e79a59fb661814ff7fe1870d5f9d5df257703594 SHA1: 3de0634376c6c3fde5bf56df699aa523721bbff6 MD5sum: 82644a24fc2f84575a5818def278183d 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: 0.1-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 31 Depends: neurodebian-popularity-contest, libc6 (>= 2.14) Suggests: eegdev-plugins-free Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: libs Filename: pool/main/e/eegdev/libeegdev0_0.1-1~nd11.10+1+nd12.04+1_amd64.deb Size: 15994 SHA256: 0b7e3304c192571f57de664fe3aa12f730d356a69550b7d95f47ac9edcccce6f SHA1: 6dcd82b0aa6bd1cd9587b7499fc6edb4fb1ba130 MD5sum: a1af0f3fae26588204ed82922ab84458 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: 0.1-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 157 Depends: neurodebian-popularity-contest, libeegdev0 (= 0.1-1~nd11.10+1+nd12.04+1) Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: debug Filename: pool/main/e/eegdev/libeegdev0-dbg_0.1-1~nd11.10+1+nd12.04+1_amd64.deb Size: 56694 SHA256: 594ac0cd646d0f275c2268b9804e9a6e6d5995446117904eebb23d484ceccc6b SHA1: b47df6a2c5f96650282b735542fdea2e9b0071c2 MD5sum: 7edf90f0d117613d99b5a521f9bcd656 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: libfreenect-bin Source: libfreenect Version: 1:0.1.2+dfsg-5~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 87 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-5~nd11.10+1+nd12.04+1_amd64.deb Size: 36850 SHA256: 34259c47fc65dd7ea6b6138a2c84cef5aa1ade9552999251259e99534be44c0a SHA1: 1ae81d298d1f06a4117d57f5e67a47c41a5b83a3 MD5sum: c73cba3bd4131f22ff2ae9d01382300d 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-5~nd11.10+1+nd12.04+1 Architecture: amd64 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-5~nd11.10+1+nd12.04+1_amd64.deb Size: 7292 SHA256: 4b6a579bb9959d6f2e8184dbdccfb49f2a9b4f9ec82a239c9a4836ca31e0d5c4 SHA1: da65d23624f9334bba2ee8909b6ec348d69c5b8e MD5sum: 3b77ccac666ad2d1038671431170b9b1 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-5~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 48 Depends: neurodebian-popularity-contest, libfreenect0.1 (= 1:0.1.2+dfsg-5~nd11.10+1+nd12.04+1) Homepage: http://openkinect.org/ Priority: extra Section: libdevel Filename: pool/main/libf/libfreenect/libfreenect-dev_0.1.2+dfsg-5~nd11.10+1+nd12.04+1_amd64.deb Size: 17242 SHA256: 8dbbd4d1acbb0440fac1131b621245096dc5db065d0155115a985a550778c8c4 SHA1: d5101919629588d0e36b3c49e77a133efa1d215c MD5sum: 364650ad23dadc1946533818969e2d86 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-5~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 482 Depends: neurodebian-popularity-contest Homepage: http://openkinect.org/ Priority: extra Section: doc Filename: pool/main/libf/libfreenect/libfreenect-doc_0.1.2+dfsg-5~nd11.10+1+nd12.04+1_all.deb Size: 90736 SHA256: f0a22b2d1e7f6bc4ab6e8e8a2739510c37cc23afa20e77dcdc4596782b581769 SHA1: 52aa42fa0fb270a7d96042b3af828172ae62df1a MD5sum: 8b785c406fd5a7b0edb2aeaabb5c584a 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-5~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 95 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libusb-1.0-0 (>= 2:1.0.9~rc3) Conflicts: libfreenect Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/libfreenect0.1_0.1.2+dfsg-5~nd11.10+1+nd12.04+1_amd64.deb Size: 36996 SHA256: 428b22332dce7d5e57d6bc808afc7d2a9be44604fc46082a4bd71c8df1016bd9 SHA1: badf393054a51104712bfab909fdd3936d8ffbdc MD5sum: f1ab7b53062e497a86b62f8fb8e7465a 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: amd64 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_amd64.deb Size: 19552 SHA256: 1f967d99032f3aac344aa33931cdd9b359dee092d9f730d587199d6588d33469 SHA1: 5cd2fb736f4897dfc651cb3a5f9ba03bc8df83dc MD5sum: 99803877f95334f36e695ebc8eaac3fb 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 289 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.6) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: libs Filename: pool/main/libg/libgdf/libgdf0_0.1.2-2~nd12.04+1_amd64.deb Size: 99852 SHA256: 78e58a8ba5b2d620969a904fd81eb97e7266bff8cf81cd0b4957dfa14c91fa42 SHA1: dc920c8cfb870798f5f266a946ba27e180089a6b MD5sum: f9258015d71cea77b8a74a6773c4b5af 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4854 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_amd64.deb Size: 1351824 SHA256: 87692bddf546b831f46cb9d2cae52208ed1bca7a0addac781fc0b06dadac0ddf SHA1: db7c5dedef7a8ad27b1c6df89261ce36b992b553 MD5sum: 2a073054c0ce044f7f6ae54b183b06ee 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: libguac-client-vnc0 Source: libguac-client-vnc Version: 0.5.0-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 31 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libcairo2 (>= 1.6.0), libguac2, libvncserver0 Recommends: vnc4server Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: libs Filename: pool/main/libg/libguac-client-vnc/libguac-client-vnc0_0.5.0-1~nd11.10+1+nd12.04+1_amd64.deb Size: 10454 SHA256: e84997ed9a6668f817bfec33730c9b7cbfb38b8dae4febd5ee77031fc4eee3e7 SHA1: c718ce6515ca1fb0aa7b33eb82765e407e2dcc48 MD5sum: 8400fb2f893236593a232522e79eb3a1 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: 0.5.0-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 86 Depends: neurodebian-popularity-contest, libguac2 (= 0.5.0-1~nd11.10+1+nd12.04+1) Conflicts: libguac1-dev Replaces: libguac1-dev Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: libdevel Filename: pool/main/libg/libguac/libguac-dev_0.5.0-1~nd11.10+1+nd12.04+1_amd64.deb Size: 21630 SHA256: 68f94135b8fff2b18114f3c4c891d569f4cc18a474babfeb52835a405d20269e SHA1: 662d16c0007edd0e79ade576895531fbc968b0fd MD5sum: 4d62bec05c810a9494ef59113959afbb 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: libguac2 Source: libguac Version: 0.5.0-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 30 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libcairo2 (>= 1.2.4) Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: libs Filename: pool/main/libg/libguac/libguac2_0.5.0-1~nd11.10+1+nd12.04+1_amd64.deb Size: 12982 SHA256: 4a7327dbbd917eba695c2317fece5f14ca210163f8881fecbe6aca7060f39efe SHA1: 3b9d190fd142acd6d1f144297080ee32f1ee005c MD5sum: 04225d97b07931b202b5c6da0c2a284f 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: 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4953 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 (>= 2.14), 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_amd64.deb Size: 1136432 SHA256: e2cdb4dfd2349438ea3ec4d22953e47f8eeaf1e856f8dde8fb94109fffd238ef SHA1: 2f9ac43401361df3f3b05fc334fcf739459f83ef MD5sum: 9b63eb42cddd4563d3d8617055cd5b19 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2482 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 (>= 2.14), 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_amd64.deb Size: 771710 SHA256: ded5f7928e8c55fae716ac310805a8535a1e7cd324cc86fae1c389f64569d397 SHA1: 8f9bc945cc0f8801dc7e35fa68c51cc8cdbe0fe5 MD5sum: 0f42f1274ba4309877d662f1704b60c0 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 683 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 (>= 2.14), 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_amd64.deb Size: 209846 SHA256: 85a5b986f25b6a351ce49cf39fdd6719210c66d707108ece3bddad53acb91150 SHA1: fc51c61dbbe11127fa45c84c0c3095342bad7976 MD5sum: 5612452bf6dca64f80d8ce8c4bdd5a2f 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 56 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 (>= 2.2.5), 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_amd64.deb Size: 21572 SHA256: d2e54c8acfadd904adf8cf48af992702f04f39f92ad0b9bd220d901e641dc543 SHA1: fd84c7efa1008468e08fc202d9d7a126647a8c2d MD5sum: 003d6c523d6c50a09fd9d1d8e9792788 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: amd64 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_amd64.deb Size: 2402 SHA256: 9c6b68fd7c66d0452bd71f5c3eed6b6e8581ad337fd943269fa8035d6c649cc0 SHA1: 2d066d1083ff9c18f8e612719ace5af5470ba820 MD5sum: 6a6e284853a5198964790ba9a0dac8bd 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 136 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_amd64.deb Size: 48014 SHA256: 027f2b13c7a22aa1eafbc88e45b8a4c32c494a0d2ecc5c848b4c22ffde2cced1 SHA1: d4ed05d7547803f46379dfb0a03bf432e8eeb2d5 MD5sum: 68c5ec0e4e2736dcd0f218596bbefe11 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 329 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_amd64.deb Size: 126832 SHA256: e103230c5b22f7c11cb2dd89fbe140915a29500798d89c513c843570f8fc7fe1 SHA1: 403d6f7c99857bc15ab08ac3d85bab23c67cd994 MD5sum: 3d19ade4ae3057eb7caa5a2d15b8f24f 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: 1.2.4-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 12 Depends: neurodebian-popularity-contest, libmtcp1 (= 1.2.4-1~nd11.10+1+nd12.04+1) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/d/dmtcp/libmtcp-dev_1.2.4-1~nd11.10+1+nd12.04+1_amd64.deb Size: 5396 SHA256: 06d345f04ce32054555fb800c2b8928876b99fe30808ddebe0ceb1f036ee6696 SHA1: 990be0162ad4e08a8f06fe4d1bef466a558cd039 MD5sum: 931c96950a47ae0f4ceb79852e9f5240 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: 1.2.4-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 101 Depends: neurodebian-popularity-contest, libc6 (>= 2.14) Suggests: dmtcp Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libs Filename: pool/main/d/dmtcp/libmtcp1_1.2.4-1~nd11.10+1+nd12.04+1_amd64.deb Size: 42644 SHA256: 5dde20e89c9bba31c80c58f2860045ff1476df3d42ba2a58bfff4b40ab915676 SHA1: 9c111e7d28bbc57ab0932b7a62a217ca78fed160 MD5sum: 856cc03c68ec046260659d12e29e154d 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: libvia-dev Source: via Version: 2.0.4-2~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 842 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_amd64.deb Size: 244858 SHA256: 9827b17849ad29297126f36ad2a01dcd4e037ddce8f3cb729bf6aa0c003123af SHA1: 43acc57a7d2ce117d50a60ef79883cc3588bb6ee MD5sum: f301cf4f87be93e4af847dea5dd84504 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 430 Depends: neurodebian-popularity-contest, lesstif2 (>= 1:0.94.4), libatlas3gf-base, libc6 (>= 2.14), 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_amd64.deb Size: 190868 SHA256: 6baedb6bd57d7bbb4492ff4a08557d84a9de826d396f09c983d94cca3a2d9491 SHA1: 9ed2af4d21d88e56a574be880fb59fe9e81c63c9 MD5sum: b7d103b95ae07a3479ded393331656f7 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: libxdffileio-dev Source: xdffileio Version: 0.2-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, libxdffileio0 (= 0.2-1~nd11.10+1+nd12.04+1) Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: libdevel Filename: pool/main/x/xdffileio/libxdffileio-dev_0.2-1~nd11.10+1+nd12.04+1_amd64.deb Size: 27714 SHA256: 714e633c3cdfbf1f69c08a6dd47697bea87e1be6cc05ac31096cc8cede785d74 SHA1: ba8c6178776544d6c9a79d0adda8e43773752686 MD5sum: f7c21a82bbaa2be047e376253cd53f41 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: 0.2-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 68 Depends: neurodebian-popularity-contest, libc6 (>= 2.14) Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: libs Filename: pool/main/x/xdffileio/libxdffileio0_0.2-1~nd11.10+1+nd12.04+1_amd64.deb Size: 30448 SHA256: ebe42fb929fafe566038163d4e86109f97fcc632bf57b408b56a1d4b9edc02f4 SHA1: 96633ee7041a3f859cf5cf7596c51440fd689843 MD5sum: f83f167cbedeba5d0bcd8540a939883d 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: 0.2-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 194 Depends: neurodebian-popularity-contest, libxdffileio0 (= 0.2-1~nd11.10+1+nd12.04+1) Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: debug Filename: pool/main/x/xdffileio/libxdffileio0-dbg_0.2-1~nd11.10+1+nd12.04+1_amd64.deb Size: 62826 SHA256: e2fb20c5f622d214453260ce6d7a2bd4dec4e1a6f427fc5c1ad7bce376b7cc39 SHA1: f60cee8c536dfd7beadb70dcd457f3ac017998bf MD5sum: d85f92463ca22b6e3ac9f6d6322a52af 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: mrtrix Version: 0.2.10-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 7961 Depends: neurodebian-popularity-contest, libatkmm-1.6-1 (>= 2.22.1), libc6 (>= 2.14), 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) Suggests: mrtrix-doc Homepage: http://www.brain.org.au/software/mrtrix Priority: extra Section: science Filename: pool/main/m/mrtrix/mrtrix_0.2.10-1~nd11.10+1+nd12.04+1_amd64.deb Size: 2522042 SHA256: d1264c6829ff7cd68b5f44ddc74213671e32ed102ef5d9ca8200a4e24df3ebc6 SHA1: 9ce52fa4f5e228dcb3af92c3c215820eead47bdc MD5sum: 99f8e4de135814f0d846a471f8f82a02 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: 0.2.10-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3485 Depends: neurodebian-popularity-contest Homepage: http://www.brain.org.au/software/mrtrix Priority: extra Section: doc Filename: pool/main/m/mrtrix/mrtrix-doc_0.2.10-1~nd11.10+1+nd12.04+1_all.deb Size: 3315494 SHA256: 94dbee8905712de4c824ee39eb7a83e3cd44eeebc0e39c601a94222acae7d6ef SHA1: 43dd82edbe0141bbe64ba8911db7d23760243a3e MD5sum: 8829e0008103ae5a0eb17ad53039ac26 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: neurodebian-desktop Source: neurodebian Version: 0.27~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 141 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_0.27~nd11.10+1+nd12.04+1_all.deb Size: 113984 SHA256: a6259db1886bf2391999c315fe87f1ad92b8f15a3748ac1936f708897a6f1055 SHA1: 88f35f3d28f83ca6ee8f7c5889568d7e4ac94c70 MD5sum: 7e5ae55698d0494fee38a774b990a90b 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: 0.27~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5451 Depends: devscripts, cowbuilder, neurodebian-keyring Recommends: python, zerofree, moreutils, time, ubuntu-keyring Suggests: virtualbox-ose, virtualbox-ose-fuse Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-dev_0.27~nd11.10+1+nd12.04+1_all.deb Size: 5087752 SHA256: c7681bf87794e6605db968fe1467f305f2cfd0ca697d95e409f238302353317c SHA1: 135b75c0a2ba1a5d2fd9d791146e9128d74a1753 MD5sum: 0b83a74155e79154284a3a51cbebd793 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: 0.27~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 105 Pre-Depends: virtualbox-ose-guest-utils, virtualbox-ose-guest-x11, virtualbox-ose-guest-dkms Depends: sudo, neurodebian-desktop, gdm, update-manager-gnome, update-notifier Recommends: chromium-browser Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-guest-additions_0.27~nd11.10+1+nd12.04+1_all.deb Size: 13482 SHA256: 63d6f354450845680564e7d2b2fd261a50acd74668dcd2cb84f564f22c038485 SHA1: 5a97c7ab889826ba05ae0a9ceab2e6d64b105eb0 MD5sum: ba1de5964bdf4bc1636e1b6d0e91f41f 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: 0.27~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6 Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-keyring_0.27~nd11.10+1+nd12.04+1_all.deb Size: 6438 SHA256: 4d280247d31486c6c7c4debfa18799da567c9a040d9da8f18bc3a9b4a151a265 SHA1: 1d2fdceacff0b06ca0ba05ae44a8e01e178e489a MD5sum: 51cc71d1405e20035e1279436b871607 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: 0.27~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.27~nd11.10+1+nd12.04+1_all.deb Size: 5602 SHA256: f26a819cd9d593a68621b8a4d4e5ac178a45a4172283b4340e3a5a4be26efe26 SHA1: d2ae90771f8d4622b6a940d032ee880f9cdba4c4 MD5sum: aeaa0c63081a4a8ac55d92a64ac12e0a 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: nuitka Version: 0.3.21+ds-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1330 Depends: neurodebian-popularity-contest, g++-4.6 (>= 4.6.1) | g++-4.5, 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_0.3.21+ds-1~nd11.10+1+nd12.04+1_all.deb Size: 312932 SHA256: fe728f3c9203f358c1e4b3797ee35107e2b7fe9e0431518c3fb33119dad8c3c5 SHA1: e68bf3b8ba4c3c1c6501ee5508998729923f1c46 MD5sum: aba63422bbf36ea8af6c560a498da5ec 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 to pure Python objects at all. Package: numdiff Version: 5.6.0-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 834 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), dpkg (>= 1.15.4) | install-info Homepage: http://nongnu.org/numdiff/ Priority: extra Section: science Filename: pool/main/n/numdiff/numdiff_5.6.0-1~nd11.10+1+nd12.04+1_amd64.deb Size: 597168 SHA256: 906aa4f05ae14eac08598a37f5604a829f5100af8cf63adbe8cf013d2dc092a2 SHA1: 57817f90cec33c69c92bb839e9c19b30203d28d2 MD5sum: 603b61dba1e5f90824aaa4df77f17213 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: 0.96.3+svn2677-3~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 50 Depends: neurodebian-popularity-contest, octave3.2 (>= 3.2.4), libbiosig0, libc6 (>= 2.14), libcholmod1.7.1 (>= 1:3.4.0), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: science Filename: pool/main/b/biosig4c++/octave-biosig_0.96.3+svn2677-3~nd11.10+1+nd12.04+1_amd64.deb Size: 17794 SHA256: 2cf37ec29f62e36bdc121722463086f50dc534f63e2e28a4e2a0f91d999a9be3 SHA1: 568655923496d8b9f4efbfc6c7384b278a818b8d MD5sum: 23e5df4902f899b8f1bc4f88f902d637 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 289 Depends: neurodebian-popularity-contest, octave3.2 (>= 3.2.4), libc6 (>= 2.14), 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_amd64.deb Size: 119692 SHA256: f2aaa72406f53ae808258cc68f2e76761a66f345a573706b7c1600054664806c SHA1: 343c5161f2070517c1457513050400773f939934 MD5sum: 891ac2c5edd62abd017f370cf3c81756 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: 3.0.9+svn2539.dfsg1-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2476 Depends: neurodebian-popularity-contest, octave3.2 (>= 3.2.4), freeglut3, libasound2 (>= 1.0.23), libc6 (>= 2.14), libdc1394-22, libfreenect0.1 (>= 1:0.1.1), libgl1-mesa-glx | libgl1, libglew1.6 (>= 1.6.0), 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), libxi6 (>= 2:1.2.99.4), libxrandr2 (>= 2:1.2.99.3), libxxf86vm1, psychtoolbox-3-common (= 3.0.9+svn2539.dfsg1-1~nd11.10+1+nd12.04+1), psychtoolbox-3-lib (= 3.0.9+svn2539.dfsg1-1~nd11.10+1+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_3.0.9+svn2539.dfsg1-1~nd11.10+1+nd12.04+1_amd64.deb Size: 841452 SHA256: 85e64032c1e5c177863638a22d864f286f6e86c3b6a56f08979221e9b077b73f SHA1: 86a0aafef253ff53294a5c89b1c18cd91a6d1cee MD5sum: 8a3a673b4f71b3827a40cae20af1d188 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. . This package contains bindings for Octave. Package: opensesame Version: 0.25-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4136 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 Recommends: python-serial (>= 2.3~), psychopy (>= 1.64.0), python-pyaudio (>= 0.2.4), python-imaging (>= 1.1.7), python-opengl (>= 3.0.1) Homepage: http://www.cogsci.nl/software/opensesame Priority: extra Section: science Filename: pool/main/o/opensesame/opensesame_0.25-1~nd11.10+1+nd12.04+1_all.deb Size: 2839194 SHA256: e8d919bc2638e4d67161cdf6e133c2fc24295507ab78c5f794123be5cffb9d49 SHA1: 1d520aaff6020a467e05a6fe8df780d78cfd9277 MD5sum: 7289afa07f6168567b8006cc48daf7f7 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. Python-Version: 2.7 Package: packaging-tutorial Version: 0.5~nd+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1485 Depends: neurodebian-popularity-contest Priority: extra Section: doc Filename: pool/main/p/packaging-tutorial/packaging-tutorial_0.5~nd+1+nd12.04+1_all.deb Size: 1115438 SHA256: 94f0f1d5a6de25f02b91aaa4ac6bc6361b0e07746a5a167a449269306473f0f5 SHA1: 10b9a27e249b989d6e2fba44b13a089842881e05 MD5sum: 875896d8fa600885036bf900319303c2 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: 1.73.05.dfsg-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4454 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, libavbin0, ipython Suggests: python-iolabs, python-pyxid Homepage: http://www.psychopy.org Priority: optional Section: science Filename: pool/main/p/psychopy/psychopy_1.73.05.dfsg-1~nd11.10+1+nd12.04+1_all.deb Size: 2686212 SHA256: 51c9864a96d39e84cc99d6c1e293a457b271155e6868b583182299ca2e78586d SHA1: 71ccb74a2a76f87ab1dbd51fd44789e4718b0d01 MD5sum: 84cc95cd5f17aa8d326554288ff35ece 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: 3.0.9+svn2539.dfsg1-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 47031 Depends: neurodebian-popularity-contest Recommends: subversion Homepage: http://psychtoolbox.org Priority: extra Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.9+svn2539.dfsg1-1~nd11.10+1+nd12.04+1_all.deb Size: 19425378 SHA256: a9feb92d2f40fd4e86f7787809e0e8978081a9e11c43f078a37e7d106b199a33 SHA1: 8b47320dccb157dff9f9723dd55586931da12f76 MD5sum: c481bb2b71777879e413ed020546c296 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: 3.0.9+svn2539.dfsg1-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2506 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.9+svn2539.dfsg1-1~nd11.10+1+nd12.04+1) Homepage: http://psychtoolbox.org Priority: extra Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.9+svn2539.dfsg1-1~nd11.10+1+nd12.04+1_amd64.deb Size: 834578 SHA256: 06793dd92150fe330ab8ff4b668cce70ec436dbe91e32e6a21fa1b9ffbf13308 SHA1: b4ceb3dab5e36d6e4f934d4ffb1fc39c4c13b41a MD5sum: c07b99a23aed4b4878e225bb46bfee67 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: 3.0.9+svn2539.dfsg1-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 257 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libfontconfig1 (>= 2.8.0), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 4.6) Recommends: gstreamer0.10-plugins-base, gstreamer0.10-plugins-good Suggests: 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_3.0.9+svn2539.dfsg1-1~nd11.10+1+nd12.04+1_amd64.deb Size: 119494 SHA256: 1973062acbdf4f465dbbbce08e37255786c2b86e8a2e6dc0809a84865aa08e07 SHA1: 8097029d45c5151dced4c5aa73ed01d28f2cc441 MD5sum: 3d3b77923694d19a396c5f81b1e81ae3 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: 0.96.3+svn2677-3~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 118 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.6.1), python-numpy-abi9, python-support (>= 0.90.0), libbiosig0, libc6 (>= 2.14), 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: python Filename: pool/main/b/biosig4c++/python-biosig_0.96.3+svn2677-3~nd11.10+1+nd12.04+1_amd64.deb Size: 38586 SHA256: a3f982bf7d02e86dedc30598a944392afb7ce056cdaea239c6cb44764c095b18 SHA1: fafc0f84b73da3d5f97686c85087fb522f6a61bf MD5sum: 107af30a35e0df4c0891ab43ed35add7 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-freenect Source: libfreenect Version: 1:0.1.2+dfsg-5~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 112 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), libfreenect0.1 (= 1:0.1.2+dfsg-5~nd11.10+1+nd12.04+1) Suggests: python-matplotlib, python-opencv Homepage: http://openkinect.org/ Priority: extra Section: python Filename: pool/main/libf/libfreenect/python-freenect_0.1.2+dfsg-5~nd11.10+1+nd12.04+1_amd64.deb Size: 42824 SHA256: 607b73bf7b51783630ef6898f27d047b1e08249f282a2650cb99dd3283ff2f02 SHA1: 7865cf9e9dad54ce48efce729955004de561488f MD5sum: c954aca946d17a28699a85ffb64a160a 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1974 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 (>= 2.14), 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_amd64.deb Size: 473204 SHA256: bdaf2d62b4546b137469d3024f2c83fb41732833d1873035e62df99b0c53dd68 SHA1: fd929e180269dee7fa7dfabc267ea9a954c6b4bb MD5sum: 4c7eb51447b45c1ded2e5edd4176ee88 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: 0.6.4-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 172 Depends: neurodebian-popularity-contest, python (>= 2.5), 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_0.6.4-1~nd12.04+1_all.deb Size: 51616 SHA256: 249c3030c3a1fb8d5ce116563ccafe3b5e4044097144963d49b250a4411dd2d0 SHA1: 701bcbdf17995106a92f3e9bf717c40eabedf6dd MD5sum: 0e597b2aa5f07e9b2b7fbbe7dfa62de3 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: 3.2+git78-g7db3c50-3~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1490 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_3.2+git78-g7db3c50-3~nd11.10+1+nd12.04+1_all.deb Size: 476414 SHA256: e5dcde45023b37eb570a71ed0cb37771857184365c41f6bc0b619485bdf45d98 SHA1: 8040bfdbe02cff723ffbbce67dbb5ced3bc0e167 MD5sum: 50ebaf4014a55ec6932dbc3a7e4d9b61 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-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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 108 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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-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_amd64.deb Size: 45002 SHA256: aac594097aab347728a5c788a220ed14782723d52151cc95acd6324b12595605 SHA1: eacbd2b6e2f7e622790844abf592174b81cfc466 MD5sum: 818e17c96918259e848b72c3ab776d4a 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: 2.0.1-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4023 Depends: neurodebian-popularity-contest, python (>= 2.4), python-numpy, python-support (>= 0.90.0), python-mvpa2-lib (>= 2.0.1-1~nd11.10+1+nd12.04+1) Recommends: python-nibabel, python-psyco, python-mdp, python-scipy, shogun-python-modular, python-pywt, python-matplotlib, python-reportlab, python-h5py, python-psutil Suggests: fslview, fsl, python-nose, python-lxml, python-openopt, python-rpy2, python-mvpa2-doc, python-sklearn Provides: python2.7-mvpa2 Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2_2.0.1-1~nd11.10+1+nd12.04+1_all.deb Size: 2334172 SHA256: ef6772cf5e02a2933fa855214793ad994144c86c04023d67827ef7aedd4f2c29 SHA1: 172892896cd6a44a9fe7e6bac419b44c83598995 MD5sum: 0c571bbe7e40646f684d750dedf99332 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: 2.0.1-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15373 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-mvpa2 Homepage: http://www.pymvpa.org Priority: optional Section: doc Filename: pool/main/p/pymvpa2/python-mvpa2-doc_2.0.1-1~nd11.10+1+nd12.04+1_all.deb Size: 4532148 SHA256: 16422349ffc5e5f380a1870d4835634864594274a40ed6d44a5bf71092361e9d SHA1: 8583e175aae6fb82375d21ddafd0b2744e7cc1b3 MD5sum: fafb4973ee2c8d18c816a0e6089bd834 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.) as well as example scripts. Package: python-mvpa2-lib Source: pymvpa2 Version: 2.0.1-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 110 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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_2.0.1-1~nd11.10+1+nd12.04+1_amd64.deb Size: 47208 SHA256: 3247b3821e84fc284a26a48c43aeb8997d9d3d8a89b121b1d31c930f16d40a85 SHA1: 36e329b688aa4f591d309092d45b746c5f4922b4 MD5sum: f75be6a4d7595b5536f9029f39bdf9a5 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: 0.2.0-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2181 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 Homepage: http://neuralensemble.org/trac/neo Priority: extra Section: python Filename: pool/main/n/neo/python-neo_0.2.0-1~nd11.10+1+nd12.04+1_all.deb Size: 1381540 SHA256: 7b5dc7ee7b390dbd5cb05f6ef5c0ee0b7a66019ddac12fc9d9b4a28b1747cbe0 SHA1: f27d2bcd52e0381fd8f5b45e133efc490f638816 MD5sum: 2f00ad8a38412ad8a1e5951a4b5eda50 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 55 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_amd64.deb Size: 19794 SHA256: 17a61f55fa8a28304f885ff53b277b2b952811627522d9f8ca982dfecaf2e49d SHA1: 089b626073d659a044811650f398a653ec55d973 MD5sum: 86faa64cd791a23919ce54eec6f27458 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-nibabel Source: nibabel Version: 1.2.0-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4114 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_1.2.0-1~nd12.04+1_all.deb Size: 1806844 SHA256: f60bd7460d771a41152348058db69da09cb7e4590b271c33bd37f2977fd8b10b SHA1: bd27c31a1c67cb4b655fd15a2a2ca744e79bbc08 MD5sum: e7e6e65a83fcca0e461223efcdbb2cbe 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: 1.2.0-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2424 Depends: neurodebian-popularity-contest, libjs-jquery Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: doc Filename: pool/main/n/nibabel/python-nibabel-doc_1.2.0-1~nd12.04+1_all.deb Size: 436476 SHA256: 98c1c6d370cdc1a4342501a0dcde86d3c612dd0cffc014da7383348c2c98adcc SHA1: 0f122e8be0cad966d49a92f845a6ced6a23cadd9 MD5sum: 9ba2c859754450a4e55d11639d309b95 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-nipype Source: nipype Version: 0.5.3-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2245 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_0.5.3-1~nd11.10+1+nd12.04+1_all.deb Size: 501260 SHA256: 8c1546df5a4dd36f4a28fc276e0c11487a137fe4a4a489d4137615ea826ab3b8 SHA1: c8057318888e0af5a67978605ac6390611dc21d4 MD5sum: 6d30266bb7baa01abb4179430c5bcd81 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: 0.5.3-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12137 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_0.5.3-1~nd11.10+1+nd12.04+1_all.deb Size: 5744988 SHA256: d79b47e899a5f7a847cf72770a1412a8d9718bc4192ad387f3ee83e260f51c79 SHA1: 01a52fb96c5b418164558ddcd65ab8520776137a MD5sum: 1f106f7fb75301d2bf7a4023bcab47a9 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-openpyxl Source: openpyxl Version: 1.5.8-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 356 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_1.5.8-1~nd11.10+1+nd12.04+1_all.deb Size: 71670 SHA256: 7d0fe39de7b9a4f5b0f452b1cc659b330611eb2cab4dbc53c228c6672dc53266 SHA1: b0ebf399607650c01aaea0edd98913478500eda1 MD5sum: 9fb7775a21b0a29f6c58a3bd02787427 Description: module to read/write OpenXML xlsx/xlsm files Openpyxl is a pure Python module to read/write Excel 2007 (OpenXML) xlsx/xlsm files. Package: python-pandas Source: pandas Version: 0.7.3-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1921 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0), python-numpy, python-dateutil, python-pandas-lib (>= 0.7.3-1~nd11.10+1+nd12.04+1) Recommends: python-scipy, python-matplotlib, python-tables, python-tz, python-xlrd, python-scikits.statsmodels, python-openpyxl, python-xlwt Suggests: python-pandas-doc Provides: python2.7-pandas Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas_0.7.3-1~nd11.10+1+nd12.04+1_all.deb Size: 460948 SHA256: 36cc272e134cee6da1490b4c5f02ad0ede868acf870c6b9edcea72233f519a2e SHA1: cb8decdbe1c7494ac0824ee84f7aa491125ef79a MD5sum: b65e810adf909fac49049cc4f6d51875 Description: data structures for "relational" or "labeled" data pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure Package: python-pandas-lib Source: pandas Version: 0.7.3-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1636 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) Provides: python2.7-pandas-lib Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas-lib_0.7.3-1~nd11.10+1+nd12.04+1_amd64.deb Size: 609932 SHA256: 79192e11e9707bbbebe1f7177b11ab3a6299960dbffefd753a722359e9a36141 SHA1: 26b8f0c574e46283481d57d286e7e89c4da9c91d MD5sum: e07ad19c84915f0e908a9a7c3e250660 Description: low-level implementations and bindings for pandas This is an add-on package for python-pandas providing architecture-dependent extensions. Python-Version: 2.7 Package: python-pypsignifit Source: psignifit Version: 3.0~beta.20111109.1-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1557 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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/psignifit/python-pypsignifit_3.0~beta.20111109.1-1~nd11.10+1+nd12.04+1_amd64.deb Size: 430802 SHA256: 2138de5eb90a8802bf8f2cc4c8dcb0bf4428073df3b530d5229c48d464b05e46 SHA1: aa2eb7b92f6347e3fc869a2efa36dffafa62f0bd MD5sum: 0c1eaa4549933e815e5130fa291f5224 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-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: 0.11.0-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 30 Depends: neurodebian-popularity-contest, python-sklearn, python (>= 2.6), python-support (>= 0.90.0) Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: oldlibs Filename: pool/main/s/scikit-learn/python-scikits-learn_0.11.0-1~nd12.04+1_all.deb Size: 22860 SHA256: e3986df9b16cc488ec66cbbce019be4aa4f72e8fea0047d2cf09bdeb3569d4a5 SHA1: 9162ddf631e0864a7fc29a281d92c764f6697c9c MD5sum: 45a1509a24aa5a5dfe8d25cddbdb54a5 Description: transitional compatibility package for scikits.learn -> sklearn migration Provides old namespace (scikits.learn) and could be removed if dependent code migrated to use sklearn for clarity of the namespace. Package: python-scikits.statsmodels Source: statsmodels Version: 0.4.0-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 19 Depends: neurodebian-popularity-contest, python-statsmodels, python (>= 2.5), python-support (>= 0.90.0) Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: oldlibs Filename: pool/main/s/statsmodels/python-scikits.statsmodels_0.4.0-1~nd12.04+1_all.deb Size: 6976 SHA256: d75c8e450aae596a2bcf41d5d2c7fdc0124473eca74c44ee062e72a4def0a470 SHA1: 230ce6767dbc8be0b3b3fd23394be398ed9412c7 MD5sum: 3bf217d4941eedaef973a2c16afe2820 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-scikits.statsmodels-doc Source: statsmodels Version: 0.3.1-4~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15099 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-scikits.statsmodels Conflicts: python-scikits-statsmodels-doc Replaces: python-scikits-statsmodels-doc Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: doc Filename: pool/main/s/statsmodels/python-scikits.statsmodels-doc_0.3.1-4~nd11.10+1+nd12.04+1_all.deb Size: 1902080 SHA256: 87ee6a09bddb246fd587b66220a660f0cd95a6d71b67c81df6df82614ca63c18 SHA1: 2eb8360dc1fbd3155eaf05be5fe08624036ba0dc MD5sum: ac6dbb4753f548add0bb878e62d6d087 Description: documentation and examples for python-scikits.statsmodels This package contains HTML documentation and example scripts for python-scikits.statsmodels. Package: python-skimage Source: skimage Version: 0.5.0+git100-gfeb3e92-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3590 Depends: neurodebian-popularity-contest, python (>= 2.6), python-numpy, python-support (>= 0.90.0), python2.7, python-scipy (>= 0.9), python-skimage-lib (>= 0.5.0+git100-gfeb3e92-1~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_0.5.0+git100-gfeb3e92-1~nd12.04+1_all.deb Size: 2526554 SHA256: 9c10affc51fe37e70d47dde11f8c8da95c1dbe9ef4dffe2bb34e8326775c9578 SHA1: 54ec0bc7cdea91f2940515b8f35467bb4b329b82 MD5sum: aaa3d206fafca993cd19b85818726953 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: 0.5.0+git100-gfeb3e92-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4793 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_0.5.0+git100-gfeb3e92-1~nd12.04+1_all.deb Size: 3629300 SHA256: a302ac19864203be9cd5677121dce585d7b84ee3502942e1dc1494f76cdf2cd8 SHA1: f33f448b870e50c1cd2999d96f8a38df976e9903 MD5sum: 10c49c3aacd25915ab93845e356d67fd Description: Documentation and examples for scikits-image This package contains documentation and example scripts for python-skimage. Package: python-skimage-lib Source: skimage Version: 0.5.0+git100-gfeb3e92-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1040 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_0.5.0+git100-gfeb3e92-1~nd12.04+1_amd64.deb Size: 409404 SHA256: 75a2d7c87a383627f4da135cd2a28a4cc502803bee6e40880abcbf882ab0e35f SHA1: 086ba3a97c814c93f4bb3fa5cf8565790fe77841 MD5sum: 8bb9bea77e6b7ff1dabb5cf71d647753 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: 0.11.0-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2497 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-numpy, python-scipy, python-sklearn-lib (>= 0.11.0-1~nd12.04+1) Recommends: python-nose, python-psyco, python-matplotlib, python-joblib (>= 0.4.5) 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_0.11.0-1~nd12.04+1_all.deb Size: 890882 SHA256: 14a6a7b5aad84749c7e3cbb92009010670efe813f84d73900313e3a873e775b9 SHA1: b0a94fe74a0e2e116fa07a5bba280a96ebd81cba MD5sum: e199f1b6906ec9bda6e2edec66453741 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) Python-Version: 2.7 Package: python-sklearn-doc Source: scikit-learn Version: 0.11.0-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 34813 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_0.11.0-1~nd12.04+1_all.deb Size: 25326266 SHA256: c86e6e50fc8858f8caf78848bf2afebc3730f4dc3868b3d156dad6392746a13d SHA1: fd656c381b3286c885a3f1b3cacc473b1fe52dc6 MD5sum: 0ac6493278c7f7de01cba3b8911fa07d 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: 0.11.0-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1874 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.6.1), python-numpy-abi9, python-support (>= 0.90.0) 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_0.11.0-1~nd12.04+1_amd64.deb Size: 720914 SHA256: c6e4be7c8c494a1ba9b9189fb36835868b7c947a080e7d550ae98de504846189 SHA1: d662e4f6fb3c652f3e91e8d8f028462ed3e608af MD5sum: f8b69acf8b7e843e77862a2f859f6a22 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. Python-Version: 2.7 Package: python-statsmodels Source: statsmodels Version: 0.4.0-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12200 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0), python-numpy, python-scipy, python-statsmodels-lib (>= 0.4.0-1~nd12.04+1) Recommends: python-pandas, python-matplotlib, python-nose, python-rpy, 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_0.4.0-1~nd12.04+1_all.deb Size: 3066902 SHA256: cab53573651d3a46a3858e1960b8b5cc47cd164c81ac0d4240ed369ab924c604 SHA1: 35038155e5f008f75a88676dc164e5ddfca58dba MD5sum: 3c410cd9610e2e5582df64dafe535fbd Description: Python module for the estimation of statistical models statsmodels Python module provides classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem. Package: python-statsmodels-doc Source: statsmodels Version: 0.4.0-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 17767 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-statsmodels Conflicts: python-scikits-statsmodels-doc, python-scikits.statsmodels-doc Replaces: python-scikits-statsmodels-doc, python-scikits.statsmodels-doc Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: doc Filename: pool/main/s/statsmodels/python-statsmodels-doc_0.4.0-1~nd12.04+1_all.deb Size: 2749138 SHA256: 5d6fabb2b48053cacd9feda6a5ea0045ddcd796c3f5344fac275659ed8aa07af SHA1: cd459d4c5c4755dd389d539050aad323af0c73d7 MD5sum: f8d7b2d6d0b2179435eb6891115de6b1 Description: documentation and examples for statsmodels This package contains HTML documentation and example scripts for python-statsmodels. Package: python-statsmodels-lib Source: statsmodels Version: 0.4.0-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 167 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) Conflicts: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Replaces: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: python Filename: pool/main/s/statsmodels/python-statsmodels-lib_0.4.0-1~nd12.04+1_amd64.deb Size: 65928 SHA256: 23ded9c4c9374b5554868dd633bcb87aae64ef82926fa855fef7d9598a615795 SHA1: 5bf11df41677c0245bb7116326fa610e27675526 MD5sum: d3f0f8b682e41891d2e28653e77fa7f7 Description: low-level implementations and bindings for statsmodels This package contains architecture dependent extensions for python-statsmodels. Package: python-surfer Source: pysurfer Version: 0.2+git29-g3a98681-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 87 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0), python-numpy, python-scipy, python-nibabel, python-imaging, mayavi2, python-argparse, ipython Homepage: http://pysurfer.github.com Priority: extra Section: python Filename: pool/main/p/pysurfer/python-surfer_0.2+git29-g3a98681-1~nd11.10+1+nd12.04+1_all.deb Size: 25652 SHA256: 6a3fe0bbdfad20185c9f215df11a3b333e977b89ca3c58e17046c6671be94b2a SHA1: b2f44e2414c770da2d9a41fcbb5f07443d6920d2 MD5sum: 55d0f76fe3e7b5ce10e814937b3f6146 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: amd64 Bugs: mailto:bugs@neuro.debian.net Maintainer: NeuroDebian Team Installed-Size: 1678 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python (<< 2.8), python (>= 2.7), python-support (>= 0.90.0) Suggests: python-traitsui Conflicts: python-traits (>= 4.0~) Homepage: http://pypi.python.org/pypi/traits Priority: optional Section: python Filename: pool/main/p/python-traits/python-traits4_4.0.0-1~cbp1~nd11.04+1+nd11.10+1+nd12.04+1_amd64.deb Size: 342078 SHA256: e6a840314c14308bb129ec88bfc55c38c10c3267aa58767fb83a5e66b39adf15 SHA1: 0a0b23985186eee1e13f13ed11e3e6b6b95c9f16 MD5sum: 6a46287216f749943b53f708ab21fc4a 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-workqueue Source: cctools Version: 3.4.2-1~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 218 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_amd64.deb Size: 73892 SHA256: 0c152d5d6ae326cfd23ce948abcbff2137e1945be149e29f0e2081e5fecb8bed SHA1: 9f658197737c79dce9a798e31c5fe4413ecd94f2 MD5sum: 257a41c0245d83fbaa0dccfc6f1b7d1e 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: spm8-common Source: spm8 Version: 8.4667~dfsg.1-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 18467 Depends: neurodebian-popularity-contest Recommends: spm8-data, spm8-doc Priority: extra Section: science Filename: pool/main/s/spm8/spm8-common_8.4667~dfsg.1-1~nd11.10+1+nd12.04+1_all.deb Size: 10573752 SHA256: eedaff94855047442b4e87a150ee5790c4f85cee4944a31f374fddaf09c5d135 SHA1: 38cd5b25a48b8f7e59ffae64c289e240efdcd675 MD5sum: 9ff1b4420be237904ddbcdc6baa39b12 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: 8.4667~dfsg.1-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 72987 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/s/spm8/spm8-data_8.4667~dfsg.1-1~nd11.10+1+nd12.04+1_all.deb Size: 52167750 SHA256: d35056af43e554c2fb498839cdc2879b41b3e9cb3a17ebb7cee908b41003f47a SHA1: 01a7758933f7769692dd266201019b0c99fbf68d MD5sum: c904d656f804c259bca71a6a7b351375 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: 8.4667~dfsg.1-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9370 Depends: neurodebian-popularity-contest Priority: extra Section: doc Filename: pool/main/s/spm8/spm8-doc_8.4667~dfsg.1-1~nd11.10+1+nd12.04+1_all.deb Size: 8649042 SHA256: e0b1b632ef8dd21c9f400996da1042d8d3af9cf58b04c9f9ffaeb8e43b232e51 SHA1: abd1d4462abbf95b4e2691c7e44584b0ebcb8a55 MD5sum: 422eb0c57e44691ac1af685fcaecf77f 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: 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: via-bin Source: via Version: 2.0.4-2~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 737 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_amd64.deb Size: 181956 SHA256: 2c73d941b5f8373fea5171ba926400a324b060c0c4ad93209c02e01d56c899df SHA1: ccc7e6a6e5f3141d763588da1df4ef1c60a02248 MD5sum: cc9bc8e32dbc2fed29dab4081fdf27fa 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: xmhtml1 Source: xmhtml Version: 1.1.7-17~nd11.10+1+nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 525 Depends: neurodebian-popularity-contest, lesstif2 (>= 1:0.94.4), libc6 (>= 2.14) Priority: optional Section: libs Filename: pool/main/x/xmhtml/xmhtml1_1.1.7-17~nd11.10+1+nd12.04+1_amd64.deb Size: 254858 SHA256: a8e241eb3ebc165129a1e677fd15fc486ef9e533c876fb9d0f8c57d6bc65a133 SHA1: b2f96a51d0f4699d6d98cdf55d730a81133cdede MD5sum: 76908fd0ec9c08154ab213397669242a 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 985 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_amd64.deb Size: 345654 SHA256: ed2875eab9564c81677ac9243d379d5fcea772be9bb9b2129bb8b43935ebf196 SHA1: ced4b9af3d95c8bdf332f35f0160b3fce84a9ea8 MD5sum: d2238975221fe914640e14bae93b3c15 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5828 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libx11-6 Homepage: http://www.math.pitt.edu/~bard/xpp/xpp.html Priority: optional Section: science Filename: pool/main/x/xppaut/xppaut_6.11b+1.dfsg-1~nd11.10+1+nd12.04+1_amd64.deb Size: 4191024 SHA256: ebea2f92b9da2768b5bfad7fa505a8758c2a0145dcc1038d6427bdfcbfd32fba SHA1: 0c2f3d419dc19c8f2477dfef2e1b32a708548f13 MD5sum: 1b368bc27ffd25e4dd7becedde512877 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.