Package: aghermann Version: 0.6.0.1-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1678 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libcairo2 (>= 1.2.4), libconfig++8 (>= 1.3.2-2), libfftw3-3, libgcc1 (>= 1:4.1.1), libglib2.0-0 (>= 2.14.0), libgsl0ldbl (>= 1.9), libgtk-3-0 (>= 3.3.16), libitpp7, libpango1.0-0 (>= 1.14.0), libsamplerate0 (>= 0.1.7), libstdc++6 (>= 4.6), libunique-3.0-0 (>= 2.90.1) Suggests: edfbrowser Homepage: http://johnhommer.com/academic/code/aghermann Priority: optional Section: science Filename: pool/main/a/aghermann/aghermann_0.6.0.1-1~nd12.04+1_amd64.deb Size: 416480 SHA256: d796ee5cc3c9506ecfb391bc36a0fc33c714ff957678f77a9cbbe39708390524 SHA1: 385c83efaa2164a81422f6c7bb439eb0dd6246da MD5sum: f9f982d432e98e3cabaa7ef1571de51c Description: Sleep-research experiment manager Aghermann is a program designed around a common workflow in sleep-research, complete with scoring facility, EEG power spectrum and power course visualization, and Process S simulation following Achermann et al, 1993. Package: ants Version: 1.9.2+svn680.dfsg-3~nd11.10+1+nd12.04+1 Architecture: 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: 1.2.5-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1971 Depends: neurodebian-popularity-contest, libmtcp1, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.2.1) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: utils Filename: pool/main/d/dmtcp/dmtcp_1.2.5-1~nd12.04+1_amd64.deb Size: 849564 SHA256: 17470dc0f0c2e14460bdcc09905d113b46662c351ab261f5f7d31480ec26c1ff SHA1: 291af30d6b3295d281a6681fb200affa36a5c37f MD5sum: 1b750c059ef0461052cebb7916832d0a Description: Checkpoint/Restart functionality for Linux processes DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are OpenMPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package contains DMTCP binaries. Package: dmtcp-dbg Source: dmtcp Version: 1.2.5-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 19315 Depends: neurodebian-popularity-contest, dmtcp Homepage: http://dmtcp.sourceforge.net Priority: extra Section: debug Filename: pool/main/d/dmtcp/dmtcp-dbg_1.2.5-1~nd12.04+1_amd64.deb Size: 5345386 SHA256: eab7fcdc8a15c8d137e179b84b4cdba2004084607cd3b8937be270f8855c5c87 SHA1: 9bf98c7f1eab545a5dc9b5c5434eb6610eca886b MD5sum: 51b5f9976511c2acf96bfd889dbc6d63 Description: Debug package for dmtcp DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are OpenMPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package contains debugging symbols for DMTCP. Package: edac-utils Version: 0.18-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 55 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libedac1, lsb-base (>= 3.0-6) Recommends: dmidecode Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: admin Filename: pool/main/e/edac-utils/edac-utils_0.18-1~nd12.04+1_amd64.deb Size: 29332 SHA256: df9039a4933310d5b365dba7eed57eb87baa6a8c5f1bfcf960168e3c3d9c2548 SHA1: 8bbe7468675724a1b511a9f218a74599a180b43b MD5sum: ed340adf1c7a8fbc5c43edf7c1c4c92f Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package provides command lines tools Package: eegdev-plugins-free Source: eegdev Version: 0.2-3~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 83 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libeegdev0 (= 0.2-3~nd12.04+1), libc6 (>= 2.14), libexpat1 (>= 1.95.8), libusb-1.0-0 (>= 2:1.0.9~rc3), libxdffileio0 (>= 0.0) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: libs Filename: pool/main/e/eegdev/eegdev-plugins-free_0.2-3~nd12.04+1_amd64.deb Size: 28628 SHA256: 7f50b34e1a34eb4278f26d6a728a8b6ad7e835d286a308ee958136015ebe020a SHA1: 92c317d396391845aa1717b577d5b46d3bc389b7 MD5sum: 70fdb0b0571b96e3aac46d046424bfe8 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-6~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-6~nd12.04+1_amd64.deb Size: 7340 SHA256: 808cb85abb490d1ec3e83f16fd2f9376d6bf21ce497680ba42bfeb08d01b56da SHA1: 58d54755007c02274a291ea3eff58e54cabfb30e MD5sum: f996f2a2003a5f089efc01fec5e50cc1 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: 0.6.0-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 302 Depends: neurodebian-popularity-contest, guacd (>= 0.6), guacd (<< 0.7) Recommends: libguac-client-vnc0 Suggests: tomcat6 | jetty Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: net Filename: pool/main/g/guacamole/guacamole_0.6.0-1~nd12.04+1_all.deb Size: 277626 SHA256: 031ed40a75c0f5ab6f1fd0494f9776baf8b8100a76424d54ec0766d9f90ec40a SHA1: 5c6e2a9d1697f9ac0b4fadd3446853f6b986bf72 MD5sum: cb834423bc0f2462911800a2ee6c9a59 Description: HTML5 web application for accessing remote desktops Guacamole is an HTML5 web application that provides access to a desktop environment using remote desktop protocols. A centralized server acts as a tunnel and proxy, allowing access to multiple desktops through a web browser. No plugins are needed: the client requires nothing more than a web browser supporting HTML5 and AJAX. Package: guacamole-tomcat Source: guacamole Version: 0.6.0-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7 Depends: neurodebian-popularity-contest, debconf, guacamole, tomcat6, libguac-client-vnc0, debconf (>= 0.5) | debconf-2.0 Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: net Filename: pool/main/g/guacamole/guacamole-tomcat_0.6.0-1~nd12.04+1_all.deb Size: 5172 SHA256: 8a9423cc80eecd320a8902746df9692514c78b60d25eb847001b184820ce8174 SHA1: 615d0b822e7ff888796cc40ac5ffb44a317b23af MD5sum: f7c8aeaa54bb5a3b1bc56c49bdd781bf Description: Tomcat-based Guacamole install with VNC support Guacamole is an HTML5 web application that provides access to a desktop environment using remote desktop protocols. A centralized server acts as a tunnel and proxy, allowing access to multiple desktops through a web browser. No plugins are needed: the client requires nothing more than a web browser supporting HTML5 and AJAX. . This metapackage depends on Tomcat, Guacamole, and the VNC support plugin for guacamole. Guacamole is automatically installed and configured under Tomcat. Package: guacd Version: 0.6.0-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 26 Depends: neurodebian-popularity-contest, lsb-base (>= 3.0-6), libc6 (>= 2.4), libguac3 Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: net Filename: pool/main/g/guacd/guacd_0.6.0-1~nd12.04+1_amd64.deb Size: 11382 SHA256: 7282aedfcb7635c7fe19a7204fcb578da809f447e39fec1092408f5b575ea2ed SHA1: 3f1bf924b30b4291761ab58055653007dac7db9e MD5sum: 67d1de69a906c1ae3eb1cb80073b86e4 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: 1.2.5-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 16 Depends: neurodebian-popularity-contest, libdmtcpaware1 (= 1.2.5-1~nd12.04+1) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/d/dmtcp/libdmtcpaware-dev_1.2.5-1~nd12.04+1_amd64.deb Size: 7112 SHA256: c852ff0c2e892d7f34ddf4e47603c4fc77d77442b0fbae315ea7f1f72511fbec SHA1: 60b086481a167b47c0a7ceba25f15eef1b88561d MD5sum: 1a87164ac33bd16495639725ef73cb2a Description: DMTCP programming interface -- developer package DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are OpenMPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package provides libraries for developing applications that need to interact with dmtcp. Package: libdmtcpaware1 Source: dmtcp Version: 1.2.5-1~nd12.04+1 Architecture: 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_1.2.5-1~nd12.04+1_amd64.deb Size: 7080 SHA256: 366dcd18760964201fbc866250fded9667a18b622fb3f7808067aba036ecc899 SHA1: 969de6cfe82b99d48e67c08b57d5521c452f923a MD5sum: 7383b4b5fb317d4c1e34a96ff23d4e70 Description: DMTCP programming interface DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are OpenMPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package provides a programming interface to allow checkpointed applications to interact with dmtcp. Package: libdrawtk-dev Source: drawtk Version: 2.0-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 69 Depends: neurodebian-popularity-contest, libdrawtk0 (= 2.0-1~nd12.04+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/drawtk.html Priority: extra Section: libdevel Filename: pool/main/d/drawtk/libdrawtk-dev_2.0-1~nd12.04+1_amd64.deb Size: 43600 SHA256: 85bd817029525d27de3fb508b923f86f8351532aebc689034e7c980818e7dba8 SHA1: 0380a1716a4cc78418b67abb5315e776615c6997 MD5sum: a2beb1a6293c3ee05d27abaa886aa84c Description: Library to simple and efficient 2D drawings (development files) This package provides an C library to perform efficient 2D drawings. The drawing is done by OpenGL allowing fast and nice rendering of basic shapes, text, images and videos. It has been implemented as a thin layer that hides the complexity of the OpenGL library. . This package contains the files needed to compile and link programs which use drawtk. Package: libdrawtk0 Source: drawtk Version: 2.0-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 52 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libfontconfig1 (>= 2.8.0), libfreeimage3, libfreetype6 (>= 2.2.1), libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.12.0), libgstreamer-plugins-base0.10-0 (>= 0.10.23), libgstreamer0.10-0 (>= 0.10.25), libsdl1.2debian (>= 1.2.10-1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/drawtk.html Priority: extra Section: libs Filename: pool/main/d/drawtk/libdrawtk0_2.0-1~nd12.04+1_amd64.deb Size: 25128 SHA256: 5b1ffe0e4b50521c6f1d3b52ef175bc616e4842d9d76086980684eb0ff0ec621 SHA1: cff5c14c04d35f76efcd349e4db7b2d06913790d MD5sum: fa4b12b0d49666398cb4ea9b2753fd90 Description: Library to simple and efficient 2D drawings This package provides an C library to perform efficient 2D drawings. The drawing is done by OpenGL allowing fast and nice rendering of basic shapes, text, images and videos. It has been implemented as a thin layer that hides the complexity of the OpenGL library. Package: libdrawtk0-dbg Source: drawtk Version: 2.0-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 73 Depends: neurodebian-popularity-contest, libdrawtk0 (= 2.0-1~nd12.04+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/drawtk.html Priority: extra Section: debug Filename: pool/main/d/drawtk/libdrawtk0-dbg_2.0-1~nd12.04+1_amd64.deb Size: 64022 SHA256: fd757860e2ef891118622e86e2fda8388619b875e0e86edc674a3f77e9e4b236 SHA1: 706e4398908f178aa17cb064a43823dab42a00c8 MD5sum: 46c7999236ea9d457cd3a0d8a66c66b7 Description: Library to simple and efficient 2D drawings (debugging symbols) This package provides an C library to perform efficient 2D drawings. The drawing is done by OpenGL allowing fast and nice rendering of basic shapes, text, images and videos. It has been implemented as a thin layer that hides the complexity of the OpenGL library. . This package provides the debugging symbols for the library. Package: libedac-dev Source: edac-utils Version: 0.18-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 29 Depends: neurodebian-popularity-contest, libedac1 (= 0.18-1~nd12.04+1) Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: libdevel Filename: pool/main/e/edac-utils/libedac-dev_0.18-1~nd12.04+1_amd64.deb Size: 19010 SHA256: cc4f62c466808ff814e15aaa7e62c58efc31c92703ab01814266d0acaea940a8 SHA1: 06e9230d91004bca7ee96706c1a1052e9fc101ea MD5sum: 27d162359dfc1a33848b60e3c906290f Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package contains development files for the library Package: libedac1 Source: edac-utils Version: 0.18-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libsysfs2 Provides: libedac Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: libs Filename: pool/main/e/edac-utils/libedac1_0.18-1~nd12.04+1_amd64.deb Size: 14776 SHA256: 240fbdab1ca2fa44736243f73b135aa48f61b863fe0b8c37ce65570ad2cfafcd SHA1: f618d88d73a4748a60082c369346c464957242c4 MD5sum: 10e1aaf944d43c15f3cc0a7c7f737ba5 Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package includes shared library Package: libedac1-dbg Source: edac-utils Version: 0.18-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 76 Depends: neurodebian-popularity-contest, libedac1 (= 0.18-1~nd12.04+1) Provides: libedac Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: debug Filename: pool/main/e/edac-utils/libedac1-dbg_0.18-1~nd12.04+1_amd64.deb Size: 33374 SHA256: 0987b38218ff71f9eb9341042c764c81da5e9645486defff29d7fef078958c5d SHA1: 6b398f21384611746f1ae47bc4036f0ba03206e8 MD5sum: 59d8f9c5eb46110f76390256649f4b56 Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package includes shared library with debugging symbols not stripped Package: libeegdev-dev Source: eegdev Version: 0.2-3~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 47 Depends: neurodebian-popularity-contest, libeegdev0 (= 0.2-3~nd12.04+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: libdevel Filename: pool/main/e/eegdev/libeegdev-dev_0.2-3~nd12.04+1_amd64.deb Size: 22440 SHA256: 5a934950b6f5eac5962580c0eaa0cf4901ec98945a7188cc8d6e37c1ad25f66e SHA1: 22ec8f778c55850f430d785ee6fb4deb13318a6e MD5sum: 64dc9ba38a21a96c3918538f4ef58610 Description: Biosignal acquisition device library (Developement files) eegdev is a library that provides a unified interface for accessing various EEG (and other biosignals) acquisition systems. This interface has been designed to be both flexible and efficient. The device specific part is implemented by the mean of plugins which makes adding new device backend fairly easy even if the library does not support them yet officially. . The core library not only provides to users a unified and consistent interfaces to the acquisition device but it also provides many functionalities to the device backends (plugins) ranging from configuration to data casting and scaling making writing new device backend an easy task. . This library is particularly useful to handle the acquisition part of a Brain Computer Interface (BCI) or any realtime multi-electrode acquisition in neurophysiological research. . This package contains the files needed to compile and link programs which use eegdev. Its provides also the headers neeeded to develop new device plugins. The manpages and examples are shipped in this package. Package: libeegdev0 Source: eegdev Version: 0.2-3~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 67 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.14) Recommends: eegdev-plugins-free Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: libs Filename: pool/main/e/eegdev/libeegdev0_0.2-3~nd12.04+1_amd64.deb Size: 30780 SHA256: 12b94a8618c33a56f805c184012c2242017dab22ede1181a51a1aeb5710a0810 SHA1: d913969029c3156aecacb056a75cbccd61d6f82f MD5sum: e2e956efef9c47913c042a3cc269de0e Description: Biosignal acquisition device library eegdev is a library that provides a unified interface for accessing various EEG (and other biosignals) acquisition systems. This interface has been designed to be both flexible and efficient. The device specific part is implemented by the mean of plugins which makes adding new device backend fairly easy even if the library does not support them yet officially. . The core library not only provides to users a unified and consistent interfaces to the acquisition device but it also provides many functionalities to the device backends (plugins) ranging from configuration to data casting and scaling making writing new device backend an easy task. . This library is particularly useful to handle the acquisition part of a Brain Computer Interface (BCI) or any realtime multi-electrode acquisition in neurophysiological research. . This package contains the core library Package: libeegdev0-dbg Source: eegdev Version: 0.2-3~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 174 Depends: neurodebian-popularity-contest, libeegdev0 (= 0.2-3~nd12.04+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: debug Filename: pool/main/e/eegdev/libeegdev0-dbg_0.2-3~nd12.04+1_amd64.deb Size: 150562 SHA256: b34344e499baff7cf81bcb8d0472aef9d1159aebcf4d840f56b2930fca35851c SHA1: 88bffeeacc23a1f008cec422bb2bf34bae6ae1dc MD5sum: d6423163078b415630ec389501a567da 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-6~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-6~nd12.04+1_amd64.deb Size: 37198 SHA256: f038c4ad02e0c2aca3d5c2a2115408b03ca68afe461dcedea013568b63f14dae SHA1: c0dc1cdf22d79c55918cc5582f55f8ea50d4bb59 MD5sum: e28f6accc07ee2bcabc4d990a7a9dbde Description: library for accessing Kinect device -- utilities and samples libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package includes utilities and sample programs for kinect. Package: libfreenect-demos Source: libfreenect Version: 1:0.1.2+dfsg-6~nd12.04+1 Architecture: 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-6~nd12.04+1_amd64.deb Size: 7374 SHA256: 880564840d8004f64b756f5ad597b64c4e18df065bbcedd5d432ffcad16d163e SHA1: 9461b6a941e7a0892561dbbb362dd7e45e98b001 MD5sum: 271e805fee0f3e82c8e01eae602286b0 Description: library for accessing Kinect device -- dummy package libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package is a metapackage to do the transition from libfreenect-demos to libfreenect-bin. This package can be removed after installation. Package: libfreenect-dev Source: libfreenect Version: 1:0.1.2+dfsg-6~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 48 Depends: neurodebian-popularity-contest, libfreenect0.1 (= 1:0.1.2+dfsg-6~nd12.04+1) Multi-Arch: same Homepage: http://openkinect.org/ Priority: extra Section: libdevel Filename: pool/main/libf/libfreenect/libfreenect-dev_0.1.2+dfsg-6~nd12.04+1_amd64.deb Size: 17458 SHA256: 9295bec375584ed2e8c82b77eb8485e252896d8ae95556f8261d56c19913e6d8 SHA1: d24796ef4d89668648a4ca7d9773e15c38a54f8d MD5sum: 49e85c58d23e45552cebfa7bcb56dd76 Description: library for accessing Kinect device -- development files libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This is the development package containing the libraries and header for software development with libfreenect. Package: libfreenect-doc Source: libfreenect Version: 1:0.1.2+dfsg-6~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 482 Depends: neurodebian-popularity-contest Multi-Arch: foreign Homepage: http://openkinect.org/ Priority: extra Section: doc Filename: pool/main/libf/libfreenect/libfreenect-doc_0.1.2+dfsg-6~nd12.04+1_all.deb Size: 90826 SHA256: ce3aa05ed1adb1052c95f64d8d6bca0c9b68ca36b62d16a84153a932f7a95edd SHA1: 953a5d482244b055130a34ea227d553dc89b9e6e MD5sum: 77f83c1d42d041e8642df0f5227f05fe Description: library for accessing Kinect device -- documentation libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package contains the documentation of the API of libfreenect. Package: libfreenect0.1 Source: libfreenect Version: 1:0.1.2+dfsg-6~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 95 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libusb-1.0-0 (>= 2:1.0.9~rc3) Conflicts: libfreenect Multi-Arch: same Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/libfreenect0.1_0.1.2+dfsg-6~nd12.04+1_amd64.deb Size: 37190 SHA256: b8c3432e7044deddffe1ee5b51c2363b8a8ab402fa866a45bb15ea0f01121b51 SHA1: 1d7647b7f21000bce85798d75e21125a6b516a2d MD5sum: 744a46bfa64d403b867766d3731d6c87 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: 0.6.0-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libcairo2 (>= 1.6.0), libguac3, libvncserver0 Recommends: vnc4server Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: libs Filename: pool/main/libg/libguac-client-vnc/libguac-client-vnc0_0.6.0-1~nd12.04+1_amd64.deb Size: 10808 SHA256: d4c6510d2af1fc8ef29a11dd833a779fcb103c359fd13faf3a7c4feacc2ccfe5 SHA1: 4c76faf7059798bb577880987ab2ef7d4d0267c3 MD5sum: e9652db88a38e1b1c5b2ce9cd12d5068 Description: VNC client plugin for Guacamole A plugin for the Guacamole proxy daemon (guacd) that provides support for the VNC protocol. Package: libguac-dev Source: libguac Version: 0.6.0-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 127 Depends: neurodebian-popularity-contest, libguac3 (= 0.6.0-1~nd12.04+1) Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: libdevel Filename: pool/main/libg/libguac/libguac-dev_0.6.0-1~nd12.04+1_amd64.deb Size: 28468 SHA256: a41410674c6bcd4c73fc1fa38104b0fba6423851367322fc72e0298f27ee2763 SHA1: e355186c3db8fc788e5e9c115e8fb38ae4a9ee92 MD5sum: d2dae7eb3c8ee8d5279042a0ea36a668 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: libguac3 Source: libguac Version: 0.6.0-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 42 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libcairo2 (>= 1.2.4), libpng12-0 (>= 1.2.13-4) Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: libs Filename: pool/main/libg/libguac/libguac3_0.6.0-1~nd12.04+1_amd64.deb Size: 17894 SHA256: 76430848d5cc4c715c92c4cd40477a4ead804851b1357c8862b515e85b81ece6 SHA1: 2ce83615ca07b7737af3d6db7df6954dae9f78c2 MD5sum: 2a9ca5b94baac50b4e5260cc37fea263 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: 1.2.5-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 12 Depends: neurodebian-popularity-contest, libmtcp1 (= 1.2.5-1~nd12.04+1) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/d/dmtcp/libmtcp-dev_1.2.5-1~nd12.04+1_amd64.deb Size: 5556 SHA256: 7aa85fe8763a7c3519469031a4dc90a4325040da6a6c2a3d4f86f59ca6efbaba SHA1: 95b63413d5854c9eab0e2d97f716761210bba674 MD5sum: d43963f83f2fdb07ec3484fc9924945c Description: Developer package for libmtcp DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are OpenMPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package provides header files needed for building programs with libmtcp. Package: libmtcp1 Source: dmtcp Version: 1.2.5-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 106 Depends: neurodebian-popularity-contest, libc6 (>= 2.14) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libs Filename: pool/main/d/dmtcp/libmtcp1_1.2.5-1~nd12.04+1_amd64.deb Size: 44730 SHA256: 8a8488172dbc6d60d1160af38658e940bc40d53f4fb88089f7ad6d5739eb9c23 SHA1: 1a934842c33fcd18fba880d12eae80620472d5a4 MD5sum: db7197d6da16098c58fc0a5c7516c463 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: librtfilter-dev Source: rtfilter Version: 1.1-4~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 20 Depends: neurodebian-popularity-contest, librtfilter1 (= 1.1-4~nd12.04+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: libdevel Filename: pool/main/r/rtfilter/librtfilter-dev_1.1-4~nd12.04+1_amd64.deb Size: 12600 SHA256: 3f5e60041b29dc1cdb3ca6f1d2c967aa2aa16fb8ff87889906a70514d48b43ce SHA1: afc775dae2603e32dc04a4d37663ffd4b650d2c0 MD5sum: b283feda051e770242d3e0dbac933f14 Description: realtime digital filtering library (development files) rtfilter is a library that provides a set of routines implementing realtime digital filter for multichannel signals (i.e. filtering multiple signals with the same filter parameters). It implements FIR, IIR filters and downsampler for float and double data type (both for real and complex valued signal). Additional functions are also provided to design few usual filters: Butterworth, Chebyshev, windowed sinc, analytical filter... . One of the main differences from other libraries providing digital signal processing is that the filter functions have been specifically designed and optimized for multichannel signals (from few channels to several hundred). . This package contains the files needed to compile and link programs which use rtfilter. Package: librtfilter1 Source: rtfilter Version: 1.1-4~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 49 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.14) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: libs Filename: pool/main/r/rtfilter/librtfilter1_1.1-4~nd12.04+1_amd64.deb Size: 25258 SHA256: b44056fb276f9d2a949bdb6a43e181ef6d5bc31ed58937b00caa318602ffbe1b SHA1: 2fe3e0c644e3b2641e563eac435d078f9e88aeed MD5sum: 98bc25736e9210fabea8087f8cd649b1 Description: realtime digital filtering library rtfilter is a library that provides a set of routines implementing realtime digital filter for multichannel signals (i.e. filtering multiple signals with the same filter parameters). It implements FIR, IIR filters and downsampler for float and double data type (both for real and complex valued signal). Additional functions are also provided to design few usual filters: Butterworth, Chebyshev, windowed sinc, analytical filter... . One of the main differences from other libraries providing digital signal processing is that the filter functions have been specifically designed and optimized for multichannel signals (from few channels to several hundred). Package: librtfilter1-dbg Source: rtfilter Version: 1.1-4~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 42 Depends: neurodebian-popularity-contest, librtfilter1 (= 1.1-4~nd12.04+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: debug Filename: pool/main/r/rtfilter/librtfilter1-dbg_1.1-4~nd12.04+1_amd64.deb Size: 37648 SHA256: 04d31d7362dbfea1c786304e1e87a510d742f9b5e8d0d5c4888b39cd0bff0513 SHA1: ebd974b3ba553270ab11422e0ba7e5b554c05633 MD5sum: 2ae2c24a4f71a2215ec51fc4e032b8da Description: realtime digital filtering library (debugging symbols) rtfilter is a library that provides a set of routines implementing realtime digital filter for multichannel signals (i.e. filtering multiple signals with the same filter parameters). It implements FIR, IIR filters and downsampler for float and double data type (both for real and complex valued signal). Additional functions are also provided to design few usual filters: Butterworth, Chebyshev, windowed sinc, analytical filter... . One of the main differences from other libraries providing digital signal processing is that the filter functions have been specifically designed and optimized for multichannel signals (from few channels to several hundred). . This package provides the debugging symbols of the library. Package: libvia-dev Source: via Version: 2.0.4-2~nd11.10+1+nd12.04+1 Architecture: 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: 0.3-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, libxdffileio0 (= 0.3-1~nd12.04+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: libdevel Filename: pool/main/x/xdffileio/libxdffileio-dev_0.3-1~nd12.04+1_amd64.deb Size: 27782 SHA256: 9c3d145909b9e4c0cda591176d6552be71eda430e951be7d9a02722521c2f9fc SHA1: 839df81da93f13f3ed4f406bbf9aa1b66cf7a442 MD5sum: 0c9ada494b1b6695e7b05d70109eec23 Description: Library to read/write EEG data file formats (development files) xdffileio is a library that provides a unified interface for writing and reading various biosignal file formats in realtime (i.e. streaming). It has been designed to provide a flexible, consistent and generic interface to all supported file formats while minimizing the overhead the function calls: the heaviest operations (type casting, scaling and formatting) are offloaded into a separated thread. This design makes its particularly suitable to be directly used in a data acquisition loop (like in electrophysiology recording or in Brain-Computer Interfaces (BCI)). . The genericity of the interface makes trivial various operations like transformation of a recorded file or its conversion to another file format. xdffileio currently supports EDF, BDF, GDF1 and GDF2 file formats and more will be added in future. . This package contains the files needed to compile and link programs which use xdffileio. Package: libxdffileio0 Source: xdffileio Version: 0.3-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 68 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.14) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: libs Filename: pool/main/x/xdffileio/libxdffileio0_0.3-1~nd12.04+1_amd64.deb Size: 30866 SHA256: 6345cfea21f4132df5c04bb43db4eafdc5c2c44bfdfbfedf5378b1863273f68f SHA1: 826c845eb03e36294b3eb5708aed8e9ca1f8c968 MD5sum: a86e704c379bd3fa0b9d827010209447 Description: Library to read/write EEG data file formats xdffileio is a library that provides a unified interface for writing and reading various biosignal file formats in realtime (i.e. streaming). It has been designed to provide a flexible, consistent and generic interface to all supported file formats while minimizing the overhead of the function calls: the heaviest operations (type casting, scaling and formatting) are offloaded into a separated thread. This design makes its particularly suitable to be directly used in a data acquisition loop (like in electrophysiology recording or in Brain-Computer Interfaces (BCI)). . The genericity of the interface makes trivial various operations like transformation of a recorded file or its conversion to another file format. xdffileio currently supports EDF, BDF, GDF1 and GDF2 file formats and more will be added in future. Package: libxdffileio0-dbg Source: xdffileio Version: 0.3-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 71 Depends: neurodebian-popularity-contest, libxdffileio0 (= 0.3-1~nd12.04+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: debug Filename: pool/main/x/xdffileio/libxdffileio0-dbg_0.3-1~nd12.04+1_amd64.deb Size: 61710 SHA256: 679190b541d1ba242844358ef72c8e1211a396b3acbebb04fa2537714fb52c42 SHA1: 09cae09a44d5a70d6c243032eb75e73b5622c737 MD5sum: c672884ec2e0d18aa7bf0e69a3616ccc Description: Library to read/write EEG data file formats (debugging symbols) xdffileio is a library that provides a unified interface for writing and reading various biosignal file formats in realtime (i.e. streaming). It has been designed to provide a flexible, consistent and generic interface to all supported file formats while minimizing the overhead the function calls: the heaviest operations (type casting, scaling and formatting) are offloaded into a separated thread. This design makes its particularly suitable to be directly used in a data acquisition loop (like in electrophysiology recording or in Brain-Computer Interfaces (BCI)). . The genericity of the interface makes trivial various operations like transformation of a recorded file or its conversion to another file format. xdffileio currently supports EDF, BDF, GDF1 and GDF2 file formats and more will be added in future. . This package provides the debugging symbols of the library. Package: matlab-support-dev Source: matlab-support Version: 0.0.17~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7 Depends: neurodebian-popularity-contest Conflicts: matlab-dev (<= 0.0.14~) Replaces: matlab-dev (<= 0.0.14~) Priority: optional Section: devel Filename: pool/main/m/matlab-support/matlab-support-dev_0.0.17~nd11.10+1+nd12.04+1_all.deb Size: 6772 SHA256: 0d01b3b6c9ed47786ef3d930392b0639a3b59336c4671ec6944d220c90eb7993 SHA1: d4736843c30bb93f510d5d8ec3eae3bc188ae040 MD5sum: 558db64d457ea46f05be4326b59049fd Description: helpers for packages building MATLAB toolboxes This package provides a Makefile snippet (analogous to the one used for Octave) that configures the locations for architecture independent M-files, binary MEX-extensions, and their corresponding sources. This package can be used as a build-dependency by other packages shipping MATLAB toolboxes. Package: mricron Version: 0.20120505.1~dfsg.1-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 21171 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libc6 (>= 2.2.5), libcairo2 (>= 1.2.4), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.12.0), libgtk2.0-0 (>= 2.24.0), libpango1.0-0 (>= 1.14.0), libx11-6, mricron-data Suggests: mricron-doc, fsl Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: science Filename: pool/main/m/mricron/mricron_0.20120505.1~dfsg.1-1~nd12.04+1_amd64.deb Size: 6899232 SHA256: f964fff52779a2f7aeb8365f986a4314d8211c187b6e17133feb8faea2be2f9a SHA1: 9270d93401ce64f9d9e200c21b5e19ccae070af9 MD5sum: 70294d184ad84f312626f7c3002c83c4 Description: magnetic resonance image conversion, viewing and analysis This is a GUI-based visualization and analysis tool for (functional) magnetic resonance imaging. MRIcron can be used to create 2D or 3D renderings of statistical overlay maps on brain anatomy images. Moreover, it aids drawing anatomical regions-of-interest (ROI), or lesion mapping, as well as basic analysis of functional timeseries (e.g. creating plots of peristimulus signal-change). . In addition to 'mricron', this package also provides 'dcm2nii' that supports converting DICOM and PAR/REC images into the NIfTI format, and 'npm' for non-parametric data analysis. Package: mricron-data Source: mricron Version: 0.20120505.1~dfsg.1-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1678 Depends: neurodebian-popularity-contest Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: science Filename: pool/main/m/mricron/mricron-data_0.20120505.1~dfsg.1-1~nd12.04+1_all.deb Size: 1663990 SHA256: 50cb35643a0344a976f1d7cc3640acba63d8bf6455a68d41d7ce72002f8d69bc SHA1: 13d30293c271a1834ef3476abc2a406d950f5f87 MD5sum: ceacdbdbee629ec1c239a75e60bcc177 Description: data files for MRIcron This is a GUI-based visualization and analysis tool for (functional) magnetic resonance imaging. MRIcron can be used to create 2D or 3D renderings of statistical overlay maps on brain anatomy images. Moreover, it aids drawing anatomical regions-of-interest (ROI), or lesion mapping, as well as basic analysis of functional timeseries (e.g. creating plots of peristimulus signal-change). . This package provides data files for MRIcron, such as brain atlases, anatomy, and color schemes. Package: mricron-doc Source: mricron Version: 0.20120505.1~dfsg.1-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 979 Depends: neurodebian-popularity-contest Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: doc Filename: pool/main/m/mricron/mricron-doc_0.20120505.1~dfsg.1-1~nd12.04+1_all.deb Size: 735726 SHA256: 42637c601f13e774c8e06b84df3094acd471bfdf7b48728488c849d97c8a0498 SHA1: 349ecc6f7aa7d1ce9e1401dfaf2dd2475cbb2cd7 MD5sum: 3ce51fe9f23ba621df0d8d6c65e8833c Description: data files for MRIcron This is a GUI-based visualization and analysis tool for (functional) magnetic resonance imaging. MRIcron can be used to create 2D or 3D renderings of statistical overlay maps on brain anatomy images. Moreover, it aids drawing anatomical regions-of-interest (ROI), or lesion mapping, as well as basic analysis of functional timeseries (e.g. creating plots of peristimulus signal-change). . This package provides documentation for MRIcron in HTML format. Package: mrtrix Version: 0.2.10-1~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: mwrap Version: 0.33-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 277 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Recommends: octave Homepage: http://www.cims.nyu.edu/~dbindel/mwrap/ Priority: extra Section: devel Filename: pool/main/m/mwrap/mwrap_0.33-1~nd12.04+1_amd64.deb Size: 220466 SHA256: 59ff2f4789b925249773e671f234bfe0bd51ef2e2741e98ca1c7abe9da01e2aa SHA1: 745c23f91e34dd6fbf040016bc3fd0d1dca6a9ec MD5sum: adc3c7f9f704e0e778f8f39d5d2223ff Description: Octave/MATLAB mex generator MWrap is an interface generation system in the spirit of SWIG or matwrap. From a set of augmented Octave/MATLAB script files, MWrap will generate a MEX gateway to desired C/C++ function calls and Octave/MATLAB function files to access that gateway. The details of converting to and from Octave/MATLAB's data structures, and of allocating and freeing temporary storage, are hidden from the user. Package: neurodebian-desktop Source: neurodebian Version: 0.27~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: 0.3.22+ds-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1412 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_0.3.22+ds-1~nd12.04+1_all.deb Size: 328224 SHA256: ae188387aee7744bbad14d2aedabbc1d6f45ed7686b060506c11f29b2e26bf1b SHA1: 8628524e2f0a0486f7b3d3b6de034deec24772b4 MD5sum: 46a5a901fa9b14a677babfe2b840f922 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+svn2579.dfsg1-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2482 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+svn2579.dfsg1-1~nd12.04+1), psychtoolbox-3-lib (= 3.0.9+svn2579.dfsg1-1~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+svn2579.dfsg1-1~nd12.04+1_amd64.deb Size: 844672 SHA256: 6dd3f2df60f7c1ac510e7c0a5fef1e441238af323ca6045f592bb4530a252cf9 SHA1: b224833a65792a9445cd9dccabb3bbd2c1418f4b MD5sum: 085a5a33a14d2aad09a04579d70f31db 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+svn2579.dfsg1-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 47050 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+svn2579.dfsg1-1~nd12.04+1_all.deb Size: 19433968 SHA256: 9494162afd1baf24335cfca87f65ae13fe5ca22c11c786b83ac1c170297840ba SHA1: d51a09678ed2e18725c0a4df9acc3fc31e81b7e5 MD5sum: 945e5fcad27f712d6e83f18659d9b2cd 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+svn2579.dfsg1-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2512 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.9+svn2579.dfsg1-1~nd12.04+1) Homepage: http://psychtoolbox.org Priority: extra Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.9+svn2579.dfsg1-1~nd12.04+1_amd64.deb Size: 836930 SHA256: 006c1232150ffbd013cae1f7211ecc167521942dc7ac6d96db71bd139b66d2c7 SHA1: 58dd159846e1f14384fc61a13184c605b77d8068 MD5sum: f8cc7845d68559c239b4620af1888466 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+svn2579.dfsg1-1~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+svn2579.dfsg1-1~nd12.04+1_amd64.deb Size: 119602 SHA256: 1e0f0e6c75ffef0a8a0da6cb0f95058f8532d56263e43097e236f6f14f364fc4 SHA1: d251a104b199837607e0aa8f0e51a3c3acde6ca2 MD5sum: 59e3ba22460aa64d44d176cad08cc86e 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-6~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 111 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.6.1), python-numpy-abi9, python2.7, libc6 (>= 2.4), libfreenect0.1 (= 1:0.1.2+dfsg-6~nd12.04+1) Suggests: python-matplotlib, python-opencv Provides: python2.7-freenect Homepage: http://openkinect.org/ Priority: extra Section: python Filename: pool/main/libf/libfreenect/python-freenect_0.1.2+dfsg-6~nd12.04+1_amd64.deb Size: 42746 SHA256: 3bb0a408e26f9e3ba3846ca5c43e7dfe55c5e1672e9fd4bfec42c31228222c07 SHA1: f23e033612c00663a7ae7f6782ae8b61e1de4407 MD5sum: 03c634dba81bc4b918e0160271b6c6d9 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-mpi4py Source: mpi4py Version: 1.3-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1154 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libopenmpi1.3, python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8), mpi-default-bin Suggests: python-numpy Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: python Filename: pool/main/m/mpi4py/python-mpi4py_1.3-1~nd12.04+1_amd64.deb Size: 369816 SHA256: c8db74212c4a8efe5ddf02ff8f9c56b276d1efae05954b27283dc4575cf9f081 SHA1: e73303173212af2c787c425b2103871f4e9314e3 MD5sum: 8cf78cfcf680246b100477b1bc69fc55 Description: bindings of the Message Passing Interface (MPI) standard MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). Package: python-mpi4py-dbg Source: mpi4py Version: 1.3-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3858 Depends: neurodebian-popularity-contest, python-mpi4py (= 1.3-1~nd12.04+1) Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: debug Filename: pool/main/m/mpi4py/python-mpi4py-dbg_1.3-1~nd12.04+1_amd64.deb Size: 893128 SHA256: 2b0c01e0174314b72830342be9400f7d24670e20335c17d7c417159e68767edf SHA1: 2cc4cc114ebedf26926a19d93f1335fd04fc4c92 MD5sum: fba807ae39c9efada545660631f976a3 Description: bindings of the MPI standard -- debug symbols MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). . This package provides debug symbols. Package: python-mpi4py-doc Source: mpi4py Version: 1.3-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 275 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-mpi4py Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: doc Filename: pool/main/m/mpi4py/python-mpi4py-doc_1.3-1~nd12.04+1_all.deb Size: 76412 SHA256: 6bf8a3ad9f01f826eb78c8d470d7f03e58b76291f4cf0ab90b74c41182dbd5ca SHA1: ded31b9217a76d20f9543b5a60e21a622b450a6d MD5sum: df497f21fa6fb1d526e0b630abb63dc1 Description: bindings of the MPI standard -- documentation MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). . This package provides HTML rendering of the user's manual. Package: python-mvpa Source: pymvpa Version: 0.4.8-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3547 Depends: neurodebian-popularity-contest, python (>= 2.5), python-numpy, python-support (>= 0.90.0), python2.7, python-mvpa-lib (>= 0.4.8-1~nd11.10+1+nd12.04+1) Recommends: python-nifti, python-psyco, python-mdp, python-scipy, shogun-python-modular, python-pywt, python-matplotlib, python-reportlab Suggests: fslview, fsl, python-nose, python-lxml, python-openopt, python-rpy, python-mvpa-doc Provides: python2.7-mvpa Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa/python-mvpa_0.4.8-1~nd11.10+1+nd12.04+1_all.deb Size: 2205054 SHA256: 157565eb22e6a64cca8e7b9369dccf884a44fd2b483184b2f9740d4818cc3f3d SHA1: 522691bdde24041e16a7feadd234cc1866586da4 MD5sum: 2f14582aa4fdd1736736b78e7026ef43 Description: multivariate pattern analysis with Python PyMVPA eases pattern classification analyses of large datasets, with an accent on neuroimaging. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, GNB, Ridge Regressions, Sparse Multinomial Logistic Regression), and bindings to external machine learning libraries (libsvm, shogun). . While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it is eminently suited for such datasets. Python-Version: 2.7 Package: python-mvpa-doc Source: pymvpa Version: 0.4.8-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 37578 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-mvpa Homepage: http://www.pymvpa.org Priority: optional Section: doc Filename: pool/main/p/pymvpa/python-mvpa-doc_0.4.8-1~nd11.10+1+nd12.04+1_all.deb Size: 8480396 SHA256: 0b362f8c219e02d176900b865bc51b26b54f6350eacf1d66bcae93a48b3415ff SHA1: eaafef89dd957e059ad348d1038e565c8ecf0db8 MD5sum: 0bee5fc34f30a40bb7a1e3b88f187d5b Description: documentation and examples for PyMVPA PyMVPA documentation in various formats (HTML, TXT) including * User manual * Developer guidelines * API documentation * BibTeX references file . Additionally, all example scripts shipped with the PyMVPA sources are included. Package: python-mvpa-lib Source: pymvpa Version: 0.4.8-1~nd11.10+1+nd12.04+1 Architecture: 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-openopt Source: openopt Version: 0.38+svn1589-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 954 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0), python-numpy Recommends: python-scipy, python-cvxopt, python-matplotlib, python-setproctitle Suggests: lp-solve Conflicts: python-scikits-openopt Replaces: python-scikits-openopt Provides: python2.7-openopt Homepage: http://www.openopt.org Priority: extra Section: python Filename: pool/main/o/openopt/python-openopt_0.38+svn1589-1~nd12.04+1_all.deb Size: 245070 SHA256: c6d2c1cf48ce88af0d065731ab604db6b11738340fa4bdcce47f2bc8ee4f255e SHA1: be29b8639736fec932e1186ecba123ac9885261b MD5sum: 8e53da6514861d3666b0b66f6db764c7 Description: Python module for numerical optimization Numerical optimization framework developed in Python which provides connections to lots of solvers with easy and unified OpenOpt syntax. Problems which can be tackled with OpenOpt * Linear Problem (LP) * Mixed-Integer Linear Problem (MILP) * Quadratic Problem (QP) * Non-Linear Problem (NLP) * Non-Smooth Problem (NSP) * Non-Linear Solve Problem (NLSP) * Least Squares Problem (LSP) * Linear Least Squares Problem (LLSP) * Mini-Max Problem (MMP) * Global Problem (GLP) . A variety of solvers is available (e.g. IPOPT, ALGENCAN). Python-Version: 2.7 Package: python-openpyxl Source: openpyxl Version: 1.5.8-1~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.20120503.1-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1586 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.20120503.1-1~nd12.04+1_amd64.deb Size: 439302 SHA256: 641ffb7412ec284abcc88e97d6eb8d1c9d1de7e22de77fb4e3c3ad85bceeba87 SHA1: 986c89742dd01bebcdc8ec8954b5a85b353cf3b9 MD5sum: 8ec88f4ef3d77cf6a0f6e645f998002f 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: 0.4.0-2~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_0.4.0-2~nd12.04+1_all.deb Size: 7186 SHA256: fe4f5e34084e545c755def93dde82fa9fb050c05450574e0820030535b303b82 SHA1: 24b509e1a14629de4156177167744156e5ba662f MD5sum: 51450e438621d7af0392680ad2182e1a 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: 0.4.0-2~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 (>= 0.4.0-2~nd12.04+1) Recommends: python-pandas, python-matplotlib, python-nose, python-joblib Conflicts: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Replaces: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Provides: python2.7-statsmodels Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: python Filename: pool/main/s/statsmodels/python-statsmodels_0.4.0-2~nd12.04+1_all.deb Size: 3067140 SHA256: aa9fe66d3d8231e7bb25e0bea60d9db297936adb8c5de23cc77dcbb423580454 SHA1: d661bd75a586ec1c0293ad9bf9cdc08387ce603f MD5sum: b25740e655b85053c67c6c4b35bbc9c8 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: 0.4.0-2~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 17768 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_0.4.0-2~nd12.04+1_all.deb Size: 2749610 SHA256: f584d27feec98952a7da3eb8133e4cd6225c1af33ad52be79c9f53a4ec558681 SHA1: cefcadb3abcd1c15d7dedc0d1ab616eca4023e68 MD5sum: a7283f772288351f5812ce20b343a1fa Description: documentation and examples for statsmodels This package contains HTML documentation and example scripts for python-statsmodels. Package: python-statsmodels-lib Source: statsmodels Version: 0.4.0-2~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_0.4.0-2~nd12.04+1_amd64.deb Size: 66154 SHA256: bb7d5eb75978fe8d09076c67d2fa0fa43e20a2f2d064f4848549a700d09da018 SHA1: e097ba925282ba0005c7d09c36eac76b1407fc51 MD5sum: 2c7dbdc4853062254f1891c83648307b Description: low-level implementations and bindings for statsmodels This package contains architecture dependent extensions for python-statsmodels. Package: python-surfer Source: pysurfer Version: 0.3+git15-gae6cbb1-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 93 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-numpy, python-scipy, python-nibabel, python-imaging, mayavi2, python-argparse, ipython Recommends: mencoder Homepage: http://pysurfer.github.com Priority: extra Section: python Filename: pool/main/p/pysurfer/python-surfer_0.3+git15-gae6cbb1-1~nd12.04+1_all.deb Size: 28016 SHA256: fd4a0787b83bdc6cc7dc4a09768b63fed71f0c8edd1b79f546c6099764d32235 SHA1: fa2a6482c1b0fad09935a62e2abe30f83aa2bfa7 MD5sum: 5e852946add3d76dde9d292d9def3d10 Description: visualize Freesurfer's data in Python This is a Python package for visualization and interaction with cortical surface representations of neuroimaging data from Freesurfer. It extends Mayavi’s powerful visualization engine with a high-level interface for working with MRI and MEG data. . PySurfer offers both a command-line interface designed to broadly replicate Freesurfer’s Tksurfer program as well as a Python library for writing scripts to efficiently explore complex datasets. Python-Version: 2.7 Package: python-traits4 Source: python-traits Version: 4.0.0-1~cbp1~nd11.04+1+nd11.10+1+nd12.04+1 Architecture: 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: python3-mpi4py Source: mpi4py Version: 1.3-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1128 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libopenmpi1.3, python3 (>= 3.2), python3 (<< 3.3) Recommends: mpi-default-bin Suggests: python3-numpy Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: python Filename: pool/main/m/mpi4py/python3-mpi4py_1.3-1~nd12.04+1_amd64.deb Size: 363570 SHA256: 15b5dfe26efb791efb91ad152a1c5bb1cf5ee0f41ddc7af3e0ff765fa06d54df SHA1: b446b3131a8b3d65593b694c86ad11041ff7e79f MD5sum: 849f72957e0cd9a618f088518d8f030b Description: bindings of the Message Passing Interface (MPI) standard MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). Package: python3-mpi4py-dbg Source: mpi4py Version: 1.3-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3824 Depends: neurodebian-popularity-contest, python3-mpi4py (= 1.3-1~nd12.04+1) Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: debug Filename: pool/main/m/mpi4py/python3-mpi4py-dbg_1.3-1~nd12.04+1_amd64.deb Size: 888436 SHA256: 7151d95891c71bd4a3edbd53dd6db01044792051e99720486ed39de45fb8fe1d SHA1: 29d587e6b4469f99b0f581559a117fb809706c01 MD5sum: b88e789570de07254507ace8b52dfe5b Description: bindings of the MPI standard -- debug symbols MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). . This package provides debug symbols. Package: 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.