Package: connectome-workbench Version: 1.4.1-1~nd110+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 50565 Depends: neurodebian-popularity-contest, libc6 (>= 2.29), libftgl2 (>= 2.4.0), libgcc1 (>= 1:3.0), libgl1, libglu1-mesa | libglu1, libgomp1 (>= 6), libosmesa6 (>= 10.2~), libqt5core5a (>= 5.12.2), libqt5gui5 (>= 5.2.0) | libqt5gui5-gles (>= 5.2.0), libqt5network5 (>= 5.0.2), libqt5opengl5 (>= 5.0.2), libqt5printsupport5 (>= 5.0.2), libqt5widgets5 (>= 5.12.2), libqt5xml5 (>= 5.1.0), libstdc++6 (>= 9), zlib1g (>= 1:1.2.3.4) Recommends: caret Suggests: ffmpeg Homepage: http://www.nitrc.org/projects/workbench/ Priority: extra Section: science Filename: pool/main/c/connectome-workbench/connectome-workbench_1.4.1-1~nd110+1_amd64.deb Size: 21283484 SHA256: bc1517fbdd7a6847593b41f0b990886f1ad4efd15701f43d51597bbb9b260926 SHA1: b4d337ab2754044c747323e8483e40820536810c MD5sum: 6fa5080e6e221e40915716a10b3eb1ee Description: brain visualization, analysis and discovery tool Connectome Workbench is a brain visualization, analysis and discovery tool for fMRI and dMRI brain imaging data, including functional and structural connectivity data generated by the Human Connectome Project. . Package includes wb_command, a command-line program for performing a variety of analytical tasks for volume, surface, and CIFTI grayordinates data. Package: connectome-workbench-dbg Source: connectome-workbench Version: 1.4.1-1~nd110+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 269422 Depends: neurodebian-popularity-contest, connectome-workbench (= 1.4.1-1~nd110+1) Homepage: http://www.nitrc.org/projects/workbench/ Priority: extra Section: debug Filename: pool/main/c/connectome-workbench/connectome-workbench-dbg_1.4.1-1~nd110+1_amd64.deb Size: 266602480 SHA256: fa9e99816e6f08fad2d574f2ba39137f6ff723df81ad0e4eeb986b0a1b4933bb SHA1: 9f74a1991a700e63d7865a775db65e2f39247d98 MD5sum: 9345c8d618fcb8a97cfadff963cbddfe Description: brain visualization, analysis and discovery tool -- debug symbols Connectome Workbench is a brain visualization, analysis and discovery tool for fMRI and dMRI brain imaging data, including functional and structural connectivity data generated by the Human Connectome Project. . Package includes wb_command, a command-line program for performing a variety of analytical tasks for volume, surface, and CIFTI grayordinates data. . This package contains debug symbols for the binaries. Build-Ids: 6bff095fb1e3e657f68d21036577400ea25cea6c eb95bcb12f6ecc1d7505ab1ce5d0d621978331cc Package: datalad Version: 0.11.8-1~nd110+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 136 Depends: neurodebian-popularity-contest, python3-datalad (= 0.11.8-1~nd110+1), python3-argcomplete, python3:any Suggests: datalad-containers, datalad-crawler, datalad-neuroimaging Homepage: http://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.11.8-1~nd110+1_all.deb Size: 99536 SHA256: fd73d5aa3e1ab445b79cf6774182b52302db2d911f946c81f1819fdfa4556129 SHA1: 1348efd436113ed46f9aade60e4788997ad04111 MD5sum: cc7594e3721f573b93e8d3ffc8c311aa Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package provides the command line tools. Install without Recommends if you need only core functionality. Package: dcm2niix Version: 1:1.0.20190902-1~nd110+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 780 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libopenjp2-7 (>= 2.0.0), libstdc++6 (>= 5.2), libyaml-cpp0.6 (>= 0.6.2) Homepage: https://github.com/rordenlab/dcm2niix Priority: optional Section: science Filename: pool/main/d/dcm2niix/dcm2niix_1.0.20190902-1~nd110+1_amd64.deb Size: 199280 SHA256: 85af3108d3189d92e382041e2a9323b6f057e897654195d478988d02b8bcc4e0 SHA1: 79b34e3bd3c734bfd6f51f12b2f5767f079fd2fd MD5sum: 1f2338bd643ab2af3b116b530e0d09ea Description: converts DICOM and PAR/REC files into the NIfTI format This is the successor of the well-known dcm2nii program. it aims to provide same functionality albeit with much faster operation. This is a new tool that is not yet well tested, and does not handle ancient proprietary formats. Use with care. Package: dcm2niix-dbgsym Source: dcm2niix Version: 1:1.0.20190902-1~nd110+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1097 Depends: dcm2niix (= 1:1.0.20190902-1~nd110+1) Priority: optional Section: debug Filename: pool/main/d/dcm2niix/dcm2niix-dbgsym_1.0.20190902-1~nd110+1_amd64.deb Size: 1041516 SHA256: 15b1c5325efac91d7f14218fc679cc7f0e37865b1e9d5ed8e3c555a8e02789b2 SHA1: 6ab86d9bc10d363053b5deae1076e26c86ee3f8e MD5sum: 3a214069f7760d6d4cec4825b8fa5c93 Description: debug symbols for dcm2niix Build-Ids: 4790d65b90b3e0c13f0c9c157240a7d6ec88e91b 74a5dcf9c1853eed58b435e27c679558a566ef03 Package: gdf-tools Source: libgdf Version: 0.1.3-3~nd110+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 123 Depends: neurodebian-popularity-contest, libboost-filesystem1.67.0, libboost-program-options1.67.0, libboost-system1.67.0, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgdf0 (>= 0.1.3), libstdc++6 (>= 5.2) Homepage: https://github.com/mbillingr/libgdf Priority: optional Section: utils Filename: pool/main/libg/libgdf/gdf-tools_0.1.3-3~nd110+1_amd64.deb Size: 34132 SHA256: bc0a2013e56e8c104090d8f4aeff9df9493972660327a942c7ca67c31fa4355d SHA1: e943d9a4a77aadec9d258986fa3d4e291eb2deae MD5sum: fa377fbc21c683a7b969cf9b33d89468 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: gdf-tools-dbgsym Source: libgdf Version: 0.1.3-3~nd110+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 403 Depends: gdf-tools (= 0.1.3-3~nd110+1) Priority: optional Section: debug Filename: pool/main/libg/libgdf/gdf-tools-dbgsym_0.1.3-3~nd110+1_amd64.deb Size: 368552 SHA256: fab05cab82f8c59228f37004f6acac9a6c0a8e7029ed452f1ec90aa8dfd95249 SHA1: e97a35a416c3ad427685869ec1b0dc803f19befb MD5sum: 13ab1683ed42a8ebc51633e88205a8a6 Description: debug symbols for gdf-tools Build-Ids: b1c27e1f1ee0b4733430ed2aa58f4e2f03367200 Package: git-annex-standalone Source: git-annex Version: 7.20190819+git2-g908476a9b-1~ndall+1 Architecture: amd64 Maintainer: Richard Hartmann Installed-Size: 184189 Depends: git, netbase, openssh-client Recommends: lsof, gnupg, bind9-host, youtube-dl, git-remote-gcrypt (>= 0.20130908-6), nocache, aria2 Suggests: xdot, bup, adb, tor, magic-wormhole, tahoe-lafs, libnss-mdns, uftp Conflicts: git-annex Breaks: datalad (<= 0.11.1~) Provides: git-annex Homepage: http://git-annex.branchable.com/ Priority: optional Section: utils Filename: pool/main/g/git-annex/git-annex-standalone_7.20190819+git2-g908476a9b-1~ndall+1_amd64.deb Size: 64134894 SHA256: bc7d8291aa81c8e4427ac7ececab2ad92bfde095c91b782ff9344b76618e5b35 SHA1: cff95217b97d95912170e062cfa238c57410a3fa MD5sum: 0ea5994957513670410561a78f4f6f89 Description: manage files with git, without checking their contents into git -- standalone build git-annex allows managing files with git, without checking the file contents into git. While that may seem paradoxical, it is useful when dealing with files larger than git can currently easily handle, whether due to limitations in memory, time, or disk space. . It can store large files in many places, from local hard drives, to a large number of cloud storage services, including S3, WebDAV, and rsync, with a dozen cloud storage providers usable via plugins. Files can be stored encrypted with gpg, so that the cloud storage provider cannot see your data. git-annex keeps track of where each file is stored, so it knows how many copies are available, and has many facilities to ensure your data is preserved. . git-annex can also be used to keep a folder in sync between computers, noticing when files are changed, and automatically committing them to git and transferring them to other computers. The git-annex webapp makes it easy to set up and use git-annex this way. . This package provides a standalone bundle build of git-annex, which should be installable on any more or less recent Debian or Ubuntu release. Package: libgdf-dev Source: libgdf Version: 0.1.3-3~nd110+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 126 Depends: neurodebian-popularity-contest, libgdf0 (= 0.1.3-3~nd110+1) Homepage: https://github.com/mbillingr/libgdf Priority: optional Section: libdevel Filename: pool/main/libg/libgdf/libgdf-dev_0.1.3-3~nd110+1_amd64.deb Size: 21100 SHA256: 06fbdd8dcf0b2601dab6706c4f48d0a5dd271dbbd27117f15a108b47743855c3 SHA1: 3817da11b807eb0862459c4907d0fe926dde553d MD5sum: 2b696fc0566482dc7e384f3fca4262f0 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: 0.1.3-3~nd110+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 363 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Homepage: https://github.com/mbillingr/libgdf Priority: optional Section: libs Filename: pool/main/libg/libgdf/libgdf0_0.1.3-3~nd110+1_amd64.deb Size: 95560 SHA256: 3995c588b08ae8b7aae733f110949bcd61cf61f0dbf8331495f3629009cd2adc SHA1: cb0fedcf3af9919c271e14a853fe33216af787a7 MD5sum: 260358b1f19eee1421ea2af8a1aac674 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-dbgsym Source: libgdf Version: 0.1.3-3~nd110+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1319 Depends: libgdf0 (= 0.1.3-3~nd110+1) Priority: optional Section: debug Filename: pool/main/libg/libgdf/libgdf0-dbgsym_0.1.3-3~nd110+1_amd64.deb Size: 1257444 SHA256: b721f39d6c9d909bd50c1f69a8924f2f364904b73e4b8444fc5cb7a5b56b9fa7 SHA1: 12edaec0f98c3916cafb6bd57b63bc22e9eeafff MD5sum: 840d4485e44d64902e217637d9774af6 Description: debug symbols for libgdf0 Build-Ids: 8ec367961d2db68e1bd22fa204d10dce5f7f8f08 Package: libglm-dev Source: glm Version: 0.9.9.6-1+nd1~nd110+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2159 Depends: neurodebian-popularity-contest Multi-Arch: foreign Homepage: https://glm.g-truc.net/ Priority: optional Section: libdevel Filename: pool/main/g/glm/libglm-dev_0.9.9.6-1+nd1~nd110+1_all.deb Size: 175968 SHA256: d77a73a63a6e04c86e024faf3f686d3f604a6f9855e5804a513950c5d3dfc59b SHA1: c24aeae1f4b55c78691dccd01209db4f3587785a MD5sum: b189c5265e3b10278fd4de3c1ff95ae4 Description: C++ library for OpenGL GLSL type-based mathematics OpenGL Mathematics (GLM) is a header only C++ mathematics library for graphics software based on the OpenGL Shading Language (GLSL) specification. . GLM provides classes and functions designed and implemented with the same naming conventions and functionalities as GLSL, so that when a programmer knows GLSL, he knows GLM as well, which makes it really easy to use. . This project isn't limited to GLSL features. An extension system, based on the GLSL extension conventions, provides extended capabilities: matrix transformations, quaternions, half-based types, random numbers, et cetera. . This library works perfectly together with OpenGL but it also ensures interoperability with other third party libraries and SDKs. It is a good candidate for software rendering (such as raytracing, rasterisation), image processing, physic simulations and any context that requires a simple and convenient mathematics library. Package: libglm-doc Source: glm Version: 0.9.9.6-1+nd1~nd110+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12702 Depends: neurodebian-popularity-contest Recommends: libjs-jquery Multi-Arch: foreign Homepage: https://glm.g-truc.net/ Priority: optional Section: doc Filename: pool/main/g/glm/libglm-doc_0.9.9.6-1+nd1~nd110+1_all.deb Size: 499120 SHA256: 749dcb54b906481a72a23a8ee15207334ec3b482fc238574027f63aad836df5c SHA1: ec24b109143880c1607b8ba1b228770a9c86ad75 MD5sum: e206159e93bf8da09e9f4dbed9f97b39 Description: documentation for the OpenGL Mathematics (GLM) library OpenGL Mathematics (GLM) is a header only C++ mathematics library for graphics software based on the OpenGL Shading Language (GLSL) specification. . This package contains the OpenGL Mathematics manual in HTML and PDF formats. Package: octave-gdf Source: libgdf Version: 0.1.3-3~nd110+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 339 Depends: neurodebian-popularity-contest, octave (>= 4.4.1), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgdf0 (>= 0.1.3), libgomp1 (>= 4.2.1), liboctave6, libstdc++6 (>= 5.2) Homepage: https://github.com/mbillingr/libgdf Priority: optional Section: science Filename: pool/main/libg/libgdf/octave-gdf_0.1.3-3~nd110+1_amd64.deb Size: 83292 SHA256: fbda073d0ae6e93ff2668904bbb5b1bbd3d75c9d3bab99b54d5bf264f7ebb830 SHA1: 72456ae596091f09ccd3ecfcf1981c710368d049 MD5sum: 4aa988309a27f0dde5489e78f5d8d955 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-gdf-dbgsym Source: libgdf Version: 0.1.3-3~nd110+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1195 Depends: octave-gdf (= 0.1.3-3~nd110+1) Priority: optional Section: debug Filename: pool/main/libg/libgdf/octave-gdf-dbgsym_0.1.3-3~nd110+1_amd64.deb Size: 1119568 SHA256: c89c7aa172801b00b2d0986309b2f1ea4e395bf47d829a94ac6f9cf0e6481a9c SHA1: ee2db5fb3df23eb35a2953b7ac0ded2598c79cff MD5sum: 52936bbc6aff99278dd135d691167c2f Description: debug symbols for octave-gdf Build-Ids: c9db1e386ec8171a72ca0cbacd544f92086eddfd fd664c1c03938112ab50e2eb34018f50a4c7ff19 Package: octave-psychtoolbox-3 Source: psychtoolbox-3 Version: 3.0.15.20190725.dfsg1-1~nd110+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4428 Depends: neurodebian-popularity-contest, octave (>= 4.4.1), freeglut3, libasound2 (>= 1.0.16), libc6 (>= 2.29), libdc1394-22, libfreenect0.5 (>= 1:0.1.1), libgl1, libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libgstreamer-plugins-base1.0-0 (>= 1.0.0), libgstreamer1.0-0 (>= 1.0.0), liboctave6, libopenal1 (>= 1.14), libpciaccess0 (>= 0.10.7), libportaudio2 (>= 19+svn20101113), libusb-1.0-0 (>= 2:1.0.9), libx11-6 (>= 2:1.2.99.901), libx11-xcb1, libxcb-dri3-0, libxcb1, libxext6, libxfixes3 (>= 1:5.0), libxi6 (>= 2:1.2.99.4), libxrandr2 (>= 2:1.4.0), libxxf86vm1, psychtoolbox-3-common (= 3.0.15.20190725.dfsg1-1~nd110+1), psychtoolbox-3-lib (= 3.0.15.20190725.dfsg1-1~nd110+1) Recommends: octave-image, octave-optim, octave-signal, octave-statistics, octave-pkg-dev Provides: psychtoolbox, psychtoolbox-3 Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/octave-psychtoolbox-3_3.0.15.20190725.dfsg1-1~nd110+1_amd64.deb Size: 864952 SHA256: b4f35def1b7da0a08396a10c5eca51548e1f094a78f08ddaa98dc941c110fa2f SHA1: 96871762c90f32224878a6b376772df797c6f834 MD5sum: f5201f3572704d8db8993f20be432372 Description: toolbox for vision research -- Octave bindings Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . See also http://www.psychtoolbox.org/UsingPsychtoolboxOnUbuntu for additional information about systems tune-up and initial configuration. . This package contains bindings for Octave. Package: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.15.20190725.dfsg1-1~nd110+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 253689 Depends: neurodebian-popularity-contest Recommends: alsa-utils, libgamemode0 Suggests: gnuplot Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.15.20190725.dfsg1-1~nd110+1_all.deb Size: 23936956 SHA256: 29e2f27b2049fa2cb86ec915eff212d90eeb80a575dadbcb911002aeb565ab01 SHA1: 8bf646abaf5fc75b3a0fa452bb08faa1340ca607 MD5sum: da5cef5d8aed50e4afc529ed4e656be4 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: 3.0.15.20190725.dfsg1-1~nd110+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 10177 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.15.20190725.dfsg1-1~nd110+1) Homepage: http://psychtoolbox.org Priority: optional Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.15.20190725.dfsg1-1~nd110+1_amd64.deb Size: 9106644 SHA256: 3072da8f01b803926b58f64a3e85511f9c2380b9e2ec4991f652f36c017406fe SHA1: 92f1606119247180d96586a246a321e0d4056c26 MD5sum: 0847ac2958f4a052b259825eb6354322 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. Build-Ids: 24db0a53815a03c875e8bba9361994cf07c0747e 3d6f5ad0f00ccb5d90d4cef589bf1b425bb93c5e 3f3b35d8c33afbde6d6815378eaaf20aff3d3fe1 3f46f4df755ba6fbb9fabb35da806f94a2175fcb 9e0a149d4617f695ba29ce4752ff310a74244239 a406a1314002290ad1bfbbaf3449d27ccf041234 a577ec6ed5a9a4ab192ad8220577917ba819a77e bf91cb66fa9767ef7f3d55bf05c30519b8d04823 e294bb2170e76e339dce299ee3ac122b2d28fcdc f51fbcb244b4a279920df76470c717e69856c042 f6e2e6dde89be2122fb7b06910851983bb661325 Package: psychtoolbox-3-lib Source: psychtoolbox-3 Version: 3.0.15.20190725.dfsg1-1~nd110+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 199 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libfontconfig1 (>= 2.12.6), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:3.0), libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 5) Recommends: gstreamer1.0-plugins-base, gstreamer1.0-plugins-good, gstreamer1.0-plugins-bad, gstreamer1.0-plugins-ugly, gstreamer1.0-libav Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-lib_3.0.15.20190725.dfsg1-1~nd110+1_amd64.deb Size: 74152 SHA256: 1048b1f3d6ae3743c752d3fc2ae3abcbb6a6a9cb5acb1ff464ebe5d302f2b877 SHA1: 379769f33ae089b85adf884244e6992166c4dbc6 MD5sum: dab31926fb0a15772c4e9b50009f5d67 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-nibabel Source: nibabel Version: 2.5.1-1~nd110+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65854 Depends: neurodebian-popularity-contest, python-numpy, python-six (>= 1.3), python2.7:any, python2:any (<< 2.8), python2:any (>= 2.7~), python-scipy, python-bz2file Recommends: python-dicom, python-fuse Suggests: python-nibabel-doc, python-mock Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python-nibabel_2.5.1-1~nd110+1_all.deb Size: 2666172 SHA256: 7a49a8dcd4b5290d442af58f6a7c827a9b504b9f7743590e73c214a3d178e8c5 SHA1: 87a80be532a6bc7ee633185c6897daea53c9fbf1 MD5sum: 155cd628a0e938bd36d9ec72af06d484 Description: Python bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package also provides a commandline tools: . - dicomfs - FUSE filesystem on top of a directory with DICOMs - nib-ls - 'ls' for neuroimaging files - parrec2nii - for conversion of PAR/REC to NIfTI images Package: python-nibabel-doc Source: nibabel Version: 2.5.1-1~nd110+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9331 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: doc Filename: pool/main/n/nibabel/python-nibabel-doc_2.5.1-1~nd110+1_all.deb Size: 1503748 SHA256: 00c3a339dc0c06f1673d25dc95c8c83efb1c7dd11aacee0ff4e6433cce37e535 SHA1: 5675d7c38ea745ed0b38c706ecb5b145bde72500 MD5sum: 65c6e2afce984319a75f3d07c6de389f 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: python3-datalad Source: datalad Version: 0.11.8-1~nd110+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4573 Depends: neurodebian-popularity-contest, git-annex (>= 6.20180913~) | git-annex-standalone (>= 6.20180913~), patool, python3-appdirs, python3-distutils | libpython3-stdlib (<= 3.6.4~rc1-2), python3-fasteners, python3-git (>= 2.1.6~), python3-humanize, python3-iso8601, python3-keyrings.alt | python3-keyring (<= 8), python3-secretstorage, python3-keyring, python3-mock, python3-msgpack, python3-pil, python3-requests, python3-simplejson, python3-six (>= 1.8.0), python3-tqdm, python3-wrapt, python3-boto, python3-chardet, python3:any Recommends: python3-exif, python3-github, python3-jsmin, python3-html5lib, python3-httpretty, python3-libxmp, python3-lzma, python3-mutagen, python3-nose, python3-pyperclip, python3-requests-ftp, python3-vcr, python3-whoosh Suggests: python3-duecredit, python3-bs4, python3-numpy, datalad-containers, datalad-crawler, datalad-neuroimaging Homepage: http://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python3-datalad_0.11.8-1~nd110+1_all.deb Size: 950208 SHA256: 5fb4ffa2870104b6c8b1c28fa7326f249d031f584601a64de9e7a2c406cf8adb SHA1: b3bf1b1158420775bc3b8a20b83f5f63da63834d MD5sum: 541528ee6f7510582994877349520cf5 Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package installs the module for Python 3, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends. Package: python3-diskcache Source: diskcache Version: 4.0.0-1~nd110+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 209 Depends: neurodebian-popularity-contest, python3:any Homepage: http://www.grantjenks.com/docs/diskcache/ Priority: optional Section: python Filename: pool/main/d/diskcache/python3-diskcache_4.0.0-1~nd110+1_all.deb Size: 33652 SHA256: 4064bff48742469ce85a20859ec0e3fa9a2220c83fa7458356ca03543743e37d SHA1: 11acb0ba5f0c5588d333a90ad131485016397e58 MD5sum: 496229e62a516f908815a054921c14ae Description: Python module for Disk and file backed persistent cache DiskCache is an Apache2 licensed disk and file backed cache library, written in pure-Python. Its features include . - Django compatible API - Thread-safe and process-safe - Supports multiple eviction policies (LRU and LFU included) - Keys support “tag” metadata and eviction Package: python3-hdmf Source: hdmf Version: 1.1.2-1~nd110+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 392 Depends: neurodebian-popularity-contest, python3-dateutil, python3-h5py, python3-numpy, python3-pandas, python3-requests, python3-ruamel.yaml, python3-six, python3:any, python3-certifi, python3-chardet, python3-idna, python3-urllib3 Homepage: https://github.com/hdmf-dev/hdmf Priority: optional Section: python Filename: pool/main/h/hdmf/python3-hdmf_1.1.2-1~nd110+1_all.deb Size: 63672 SHA256: ae1c5f98e5e75b469c43f879721ab57561b69b14086575b455bebafff545caf4 SHA1: b0629cd131b4672d0f7c2d072f9e7215a462ca62 MD5sum: 64e5974e6b2358f9b349259f637437e5 Description: Hierarchical Data Modeling Framework The Hierarchical Data Modeling Framework (HDMF) is a Python package for working with hierarchical data. It provides APIs for specifying data models, reading and writing data to different storage backends, and representing data with Python object. Package: python3-neo Source: neo Version: 0.7.2-1~nd110+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3485 Depends: neurodebian-popularity-contest, python3-numpy, python3-quantities, python3:any Recommends: python3-scipy (>= 0.8~), python3-tables (>= 2.2~), libjs-jquery, libjs-underscore Suggests: python3-nose Homepage: http://neuralensemble.org/trac/neo Priority: optional Section: python Filename: pool/main/n/neo/python3-neo_0.7.2-1~nd110+1_all.deb Size: 1309360 SHA256: a648f225bf07f9678c0d5a16f333d1bf2a7dddda7b5b0906a0ffe4929cee3bd7 SHA1: 44734afa69009303db86e70925e6f9cc8cc0daad MD5sum: 66958ad49e2f13d1d97955f8f1ec887e 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: python3-nibabel Source: nibabel Version: 2.5.1-1~nd110+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65839 Depends: neurodebian-popularity-contest, python3-numpy (>= 1.2), python3-six (>= 1.3), python3:any, python3-scipy Recommends: python3-dicom, python3-fuse Suggests: python-nibabel-doc, python3-mock Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python3-nibabel_2.5.1-1~nd110+1_all.deb Size: 2662280 SHA256: d6513fa0578b912747d1b6c4878e79e5fcac3a787944338e5e8acf54e91a40bf SHA1: 05339b945660b676d4c9c3f5ccd3b2e5dcd911d8 MD5sum: 0671b3bc9d9fa01722ca81b1e9c4f5ec Description: Python3 bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. Package: python3-pynwb Source: pynwb Version: 1.0.3-1~nd110+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 424 Depends: neurodebian-popularity-contest, python3-chardet, python3-dateutil, python3-h5py (>= 2.7.1), python3-hdmf, python3-numpy, python3-pandas, python3-ruamel.yaml, python3-six, python3:any Homepage: https://github.com/NeurodataWithoutBorders/pynwb Priority: optional Section: python Filename: pool/main/p/pynwb/python3-pynwb_1.0.3-1~nd110+1_all.deb Size: 60480 SHA256: 0bfbc0e279e515a0ce05da671d3f5c2cbebddcc4f26d91f2b5d31c5d6eb55c75 SHA1: c2a15401e2a757cd6d9f802532f7ed53af6df4bf MD5sum: f124f2fbebd81f8c8c69dca1a32a1d95 Description: Python library for working with Neurodata in the NWB format PyNWB is a Python package for working with NWB files. It provides a high-level API for efficiently working with Neurodata stored in the NWB format. . Neurodata Without Borders: Neurophysiology (NWB:N) is a project to develop a unified data format for cellular-based neurophysiology data, focused on the dynamics of groups of neurons measured under a large range of experimental conditions. Package: python3-quantities Source: python-quantities Version: 0.12.3-1~nd110+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 354 Depends: neurodebian-popularity-contest, python3-numpy, python3:any Suggests: python3-unittest2 Homepage: http://packages.python.org/quantities/ Priority: optional Section: python Filename: pool/main/p/python-quantities/python3-quantities_0.12.3-1~nd110+1_all.deb Size: 57624 SHA256: 04af7004229d545ef71e61da555608447eb34882c890c120be6c0877321cad03 SHA1: e2461fd99e38f6dddbc79963a0844cecd49e3e35 MD5sum: 3d4cee6b7093dac06d5a3e2cee06a000 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.