Package: connectome-workbench Version: 1.4.1-1~nd110+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 51664 Depends: neurodebian-popularity-contest, libc6 (>= 2.29), libftgl2 (>= 2.4.0), libgcc1 (>= 1:7), 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_i386.deb Size: 21895688 SHA256: 03f28943d2aeb69521b21bf47a28bb1c7fde0682afec6d390730c2b3e6d84f43 SHA1: 2bcbd52b54ed49b4ff406701f97c95cf3d98c9d5 MD5sum: 9a26f8ec046199fde0d1b3b24cbf3741 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 262791 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_i386.deb Size: 260938972 SHA256: ea9dae7daa7f22272ee74f5465125e2ea82727bb01bcd224fba4afadd4d23f77 SHA1: 00ebbc7c386be83cea138fd773f14edcea55761b MD5sum: 26317713437a0fa9139ca50941c90d6c 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: a26e2ede2fd89ab21863504ba3b6ad02a9afeaf2 e3c257b011ec9045bbe4701a59ee01d418cb8f15 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 854 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libgcc1 (>= 1:3.0), 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_i386.deb Size: 209160 SHA256: 4feec11ffebd0544a8111337b7bbc27a74beaf47e2e6e1ebf582a5a68f2fe6bf SHA1: fd34408606e854f897f6f2b10071e101c8677445 MD5sum: 7f55ad402580ed5e4965bc735da4e112 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 993 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_i386.deb Size: 945792 SHA256: f9869085cd529250d0953a010c9ead3f64f5b9d0febe7554ef898b16f9cf9478 SHA1: e451b62cd374ef9e56b32b5b8c2ea0475f6bf8ad MD5sum: 6bd17ec33166abc6882f1659e88ce6d7 Description: debug symbols for dcm2niix Build-Ids: 972e0ce8717c31b061f38e51cd6d9976ae352182 f29e735ee590d2bda94922dc3bb9984761b91ef4 Package: gdf-tools Source: libgdf Version: 0.1.3-3~nd110+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 121 Depends: neurodebian-popularity-contest, libboost-filesystem1.67.0, libboost-program-options1.67.0, libboost-system1.67.0, libc6 (>= 2.4), 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_i386.deb Size: 35456 SHA256: 4b3dd86891a0fb97501d6868698294ecceb0cd808ea7a431478ccf79842a3e7a SHA1: 3f8c72401bbbcbdea9ec48cdac9f3624173761e7 MD5sum: f53474d967b8fd3e562246eaa57e39e5 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 385 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_i386.deb Size: 355824 SHA256: c030955f953e503ba25123c180425ecd0eda1e5f52ca0bf216347f2c56d5ed6e SHA1: 49233e3718f567da178510546af5f1314dad7d76 MD5sum: ab212dc6f287fbf3ee5b47b157218e5b Description: debug symbols for gdf-tools Build-Ids: 89d97b441f41e32b54bb80c27b17f69726babea2 Package: git-annex-standalone Source: git-annex Version: 7.20190819+git2-g908476a9b-1~ndall+1 Architecture: i386 Maintainer: Richard Hartmann Installed-Size: 175310 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_i386.deb Size: 64740696 SHA256: 8f5db707ee521d8d8b96e53474d6c4e569de1a40056992ce4329b8c267887b3b SHA1: 044097ed2530eb2998cb8b94dc3a84cbd17f4d3c MD5sum: 4a832a10423b0b007a110ba3c01ef729 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: i386 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_i386.deb Size: 21100 SHA256: 2da2de20b454b5b568d343ff4d2e992e1c1e2f56c5f37bcd070a3f1b232d6d2d SHA1: 8f15c8c7b02dca7507a42d9d85ef2bdf74d56692 MD5sum: 1df2e929237ea4598c429c8a2b6ab249 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 341 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 103652 SHA256: 3e53dd4997cb52ae5c9fd10cd110590357d396d22fb391ebc516ce02c2783354 SHA1: 0183cc3adda44dde34e1516c94f3cc0af7d2aa1e MD5sum: 5b77ca06fca5c638795ea7cebdb351f6 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1249 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_i386.deb Size: 1198528 SHA256: 377487add47c023fa229f718da564e92c0d5ae8097867f0224a565603d2b2796 SHA1: 77b4d1f9f71ed88545a867852296978e7e682413 MD5sum: 1d497dd6ce78bb53e80c3f7b2a251013 Description: debug symbols for libgdf0 Build-Ids: 0349ed4d5d85e0e2cfd29efe819a639f7b3a277f 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 339 Depends: neurodebian-popularity-contest, octave (>= 4.4.1), libc6 (>= 2.4), libgcc1 (>= 1:4.2), 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_i386.deb Size: 86584 SHA256: 9fefcd702276308f04de55b5fefcea5fc853eef3e72e5b402fa40fed1ac35d35 SHA1: 89edbbdafe4b2da1d1e4ec44b57f9283df5d9cb6 MD5sum: 67658efbc0af05a62021db6c31c0b98f 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1121 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_i386.deb Size: 1059696 SHA256: cf32a53a753f8daae218de2bbe4d19bc8483a84866a096ddd91294b6514af64e SHA1: 7c900e76617d71363282e39e4d5ed53cebd80f0f MD5sum: c1645bb4ac115f58fae444880ff46cd2 Description: debug symbols for octave-gdf Build-Ids: 167000e3e634c3b3ce4751070a759d12b9dd354a f525120201cb27f5a71e32e271fdec83524109ee Package: octave-psychtoolbox-3 Source: psychtoolbox-3 Version: 3.0.15.20190725.dfsg1-1~nd110+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4222 Depends: neurodebian-popularity-contest, octave (>= 4.4.1), freeglut3, libasound2 (>= 1.0.16), libc6 (>= 2.29), libdc1394-22, libfreenect0.5 (>= 1:0.1.1), libgcc1 (>= 1:3.0), 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_i386.deb Size: 824648 SHA256: 53d3f0ea4f6a6f47b5efd3bf882583a87e2aed59c3e99a4dbbee4097379d1216 SHA1: bb03ccba4525bc335ad437c255fcb6c7e39b090d MD5sum: 8961e586c8fd9ff5f7858c8820a1a954 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10013 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_i386.deb Size: 9114124 SHA256: 3e654ff3b0279ece430efe92acd260e732760b61d376da32c21bbd47687bc331 SHA1: 255a758eb7f5f3be6a4079e65a8b1e4c7b2425a9 MD5sum: b825b79b9153c77c09ca2b07ec482d30 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: 1d501f450f26a106dfc4273fdb3a6ee9001a267c 2d2551dbecc358d291a9e934f9f78224ec32c6db 30cb18b4fb86c2bf769a2dbaa1327c9499748ffe 842a98e5cedfd9cc484f0e88601ed9d9c46bd897 86ae8a5d06269c84f8053d8299c390db0824b5ea 8bf9fae1915d8f4062587c615ac143562927b45e 9e7e2e79be123489d3aec3f732b5bdb96bb2524a a9e3ca8199421f76ce7bcbb87f930e0d8425f78c aa180e9511767b5ef0db6ea89f7d8e7fc311fc28 ad5224dcf5d251e127ea0034999856ec8e18df17 c99eb5c6e0b30bd5f0932afa35f7c8e209174b5a Package: psychtoolbox-3-lib Source: psychtoolbox-3 Version: 3.0.15.20190725.dfsg1-1~nd110+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 185 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), 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_i386.deb Size: 75364 SHA256: d4b011432c46827edec401a0c27294d225ab14b9809251a6a611e890ebd5385f SHA1: 9202853ec3e4c06451d936f33a611304734d0841 MD5sum: 4da25de9dd1694a2ed60995bc1346788 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.