Package: datalad Version: 0.15.5-1~nd120+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 195 Depends: neurodebian-popularity-contest, python3-datalad (= 0.15.5-1~nd120+1), python3-argcomplete, python3:any Suggests: datalad-container, datalad-crawler, datalad-neuroimaging Homepage: https://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.15.5-1~nd120+1_all.deb Size: 158028 SHA256: 587d0428c13571f9111ca7b3725a0b27f4e804ed4615bc7a4a90489f5cdac8ba SHA1: 4c5a55a2898c00f77ca98025fd7d2eb539c9e540 MD5sum: 48f537e87ac3be1a28ef514f1cb388c7 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) Package: edac-utils Version: 0.18+git12-gd98769e-1~nd120+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 89 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+git12-gd98769e-1~nd120+1_amd64.deb Size: 24968 SHA256: d8636c42380c3469bb8e26531f1520f054136217990f42416bf8c6a3acb8260a SHA1: 67a181752340e032a77a8a65745750e66bd8486e MD5sum: bb74377c98e131f8a21133cc44601c1a 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: impressive Version: 0.13.0~beta2-2~nd120+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 497 Depends: neurodebian-popularity-contest, python3, python3-pygame, python3-pil, mupdf-tools (>= 1.5) | poppler-utils Recommends: mplayer, ffmpeg, perl, xdg-utils Suggests: ghostscript, latex-beamer, pdftk Conflicts: keyjnote (<< 0.10.2r-0) Replaces: keyjnote (<< 0.10.2r-0) Provides: keyjnote Homepage: http://impressive.sourceforge.net/ Priority: optional Section: x11 Filename: pool/main/i/impressive/impressive_0.13.0~beta2-2~nd120+1_all.deb Size: 200088 SHA256: ba1c96d6fc6944fb7182605dd43304d77b076d5f0a065aae1417689ae5ba3c96 SHA1: 795073ca0dad843feb17f5181a957121f5b3ad9d MD5sum: d1c4cb464adfca2f157b4729b0a14a80 Description: PDF presentation tool with eye candies Impressive is a program that displays presentation slides using OpenGL. Smooth alpha-blended slide transitions are provided for the sake of eye candy, but in addition to this, Impressive offers some unique tools that are really useful for presentations. Some of them are: * Overview screen * Highlight boxes * Spotlight effect * Presentation scripting and customization * Support of movies presentation * Active hyperlinks within PDFs Package: libedac-dev Source: edac-utils Version: 0.18+git12-gd98769e-1~nd120+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 43 Depends: neurodebian-popularity-contest, libedac1 (= 0.18+git12-gd98769e-1~nd120+1) Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: libdevel Filename: pool/main/e/edac-utils/libedac-dev_0.18+git12-gd98769e-1~nd120+1_amd64.deb Size: 14776 SHA256: b41f168e85a704f5ab218efcb10107be39608d97adf5c10f48ab3e9477424347 SHA1: 54aea227ef4118a6da209f7b58b1a63a4e09cd32 MD5sum: c084964b7a00af0b3dfaef94e2ead5ca 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+git12-gd98769e-1~nd120+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libsysfs2 (>= 2.1.0) Provides: libedac Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: libs Filename: pool/main/e/edac-utils/libedac1_0.18+git12-gd98769e-1~nd120+1_amd64.deb Size: 10724 SHA256: f709f9fee19f19de77df87cbb107c575fe9a624b7eb07e0e9fb58869e3121c5e SHA1: 72ad4c59406c033960f5b6bd452fdc636196e24d MD5sum: 97f3127dfbf94d2050a8190f041ae286 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+git12-gd98769e-1~nd120+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 62 Depends: neurodebian-popularity-contest, libedac1 (= 0.18+git12-gd98769e-1~nd120+1) Provides: libedac Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: debug Filename: pool/main/e/edac-utils/libedac1-dbg_0.18+git12-gd98769e-1~nd120+1_amd64.deb Size: 36012 SHA256: 7501b2f7f15f55b46fc579b48d1e9ce195a19b614a503a29de0bb8bf861ebdb6 SHA1: c04ff6ff627d833b1d16d4ab276d34f7900c0f3f MD5sum: d32f6a3cd93379151d2720c373c3f835 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 Build-Ids: 3ef108c03ab314065ea9d2f3cd7e30e664b59ec8 dc2eb29050065a085e49a65bd32f745ffd07f0ee Package: nuitka Version: 0.6.19.1+ds-1~nd120+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12321 Depends: neurodebian-popularity-contest, gcc (>= 5.0) | g++ (>= 4.4) | clang (>= 3.0), scons (>= 2.0.0), python3-jinja2, python3-appdirs | base-files (<< 7.2), python3-dev, zlib1g-dev, ccache, chrpath, patchelf, python3:any (>= 3.3~) Recommends: python3-lxml, python3-tqdm, strace, libfuse2 Homepage: https://nuitka.net Priority: optional Section: python Filename: pool/main/n/nuitka/nuitka_0.6.19.1+ds-1~nd120+1_all.deb Size: 1267012 SHA256: 9901ec0131c02dc5c3706131cf9324bed916c904f45b0c52ba5307c059cc4827 SHA1: e075552dd41c0320c91b157102ef4a2d16a6b654 MD5sum: 1e74c1d844fc19a66b471e1d19fc549f Description: Python compiler with full language support and CPython compatibility This Python compiler achieves full language compatibility and compiles Python code into compiled objects that are not second class at all. Instead they can be used in the same way as pure Python objects. Package: octave-psychtoolbox-3 Source: psychtoolbox-3 Version: 3.0.18.4.dfsg1-1~nd120+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5603 Depends: neurodebian-popularity-contest, octave (>= 6.2.0), freeglut3 (>= 2.8.1), libasound2 (>= 1.0.16), libc6 (>= 2.29), libdc1394-25 (>= 2.2.6), libfreenect0.5 (>= 1:0.1.1), libgcc-s1 (>= 3.0), libgl1, libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libgomp1 (>= 4.9), libgstreamer-plugins-base1.0-0 (>= 1.8~), libgstreamer1.0-0 (>= 1.4.0), libopenal1 (>= 1.14), libopenhmd0, libpciaccess0 (>= 0.10.7), libportaudio2 (>= 19+svn20101113), libstdc++6 (>= 11), libusb-1.0-0 (>= 2:1.0.9), libvulkan1 (>= 1.2.131.2), libx11-6 (>= 2:1.2.99.901), libx11-xcb1 (>= 2:1.7.2), libxcb-dri3-0, libxcb-present0, libxcb1 (>= 1.9.2), libxcomposite1 (>= 1:0.4.5), libxext6, libxfixes3 (>= 1:5.0), libxi6 (>= 2:1.2.99.4), libxrandr2 (>= 2:1.4.0), libxxf86vm1, psychtoolbox-3-common (= 3.0.18.4.dfsg1-1~nd120+1), psychtoolbox-3-lib (= 3.0.18.4.dfsg1-1~nd120+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_3.0.18.4.dfsg1-1~nd120+1_amd64.deb Size: 1058456 SHA256: 7214521b9a132c0b04459b19dff068da4ec51607e04a7e623b09807404b57088 SHA1: 58039049084a5da04e26623fbcf524c822559d98 MD5sum: 35b21dd35aeca7243c40099b5004676f 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: 3.0.18.4.dfsg1-1~nd120+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 647928 Depends: neurodebian-popularity-contest Recommends: alsa-utils, gamemode Suggests: gnuplot Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.18.4.dfsg1-1~nd120+1_all.deb Size: 26211580 SHA256: fed73a8b2e46b17336a9b005fa17fd261a3eaac7dd9cac3b835201f50dc105db SHA1: 60629071248a75641758d6a38e2c245727e03e93 MD5sum: 9062114b3f5717ac021397a19773341c 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: 3.0.18.4.dfsg1-1~nd120+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 252 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.18.4.dfsg1-1~nd120+1) Homepage: http://psychtoolbox.org Priority: optional Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.18.4.dfsg1-1~nd120+1_amd64.deb Size: 176928 SHA256: e6bf6c30265e0c56712d4d73a82af98e53abeea2444d382afb154e8fc3fe2a5d SHA1: fe26b1b9a798f14c853e27e4728e5e5263b68398 MD5sum: 182100c0e82223061688a5511fc8a6e7 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: 824bbebd1b1a1ecef928c4f2ec96a98bb1aaf1bf ed352a2cd13d2de8333057e72254446f973b6c5b Package: psychtoolbox-3-lib Source: psychtoolbox-3 Version: 3.0.18.4.dfsg1-1~nd120+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 200 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libfontconfig1 (>= 2.12.6), libfreetype6 (>= 2.2.1), libgcc-s1 (>= 3.0), libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 11) Recommends: gstreamer1.0-plugins-base (>= 1.8~), gstreamer1.0-plugins-good, gstreamer1.0-plugins-bad, gstreamer1.0-plugins-ugly, gstreamer1.0-libav, libvulkan1 Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-lib_3.0.18.4.dfsg1-1~nd120+1_amd64.deb Size: 75496 SHA256: 76637db21d407abd6b4f18ead1a151948efda5f58825a585c943760043bb6817 SHA1: 189f6dda4974f96880c75e3b30dc01ed7e17a5d0 MD5sum: 29ea31cefcb3aa1a6a79f247d6a60baa 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: python3-datalad Source: datalad Version: 0.15.5-1~nd120+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4214 Depends: neurodebian-popularity-contest, git-annex (>= 8.20200309~) | git-annex-standalone (>= 8.20200309~), patool, p7zip-full, python3 (>= 3.6), python3-annexremote, python3-appdirs, python3-distro, python3-distutils | libpython3-stdlib (<= 3.6.4~rc1-2), python3-fasteners (>= 0.14~), python3-gitlab, python3-humanize, python3-importlib-metadata | python3 (>> 3.8), python3-iso8601, python3-keyring, python3-keyrings.alt | python3-keyring (<= 8), python3-mock, python3-msgpack, python3-pil, python3-requests (>= 1.2), python3-secretstorage, python3-simplejson, python3-six, python3-tqdm, python3-wrapt, python3-chardet, python3-packaging, python3:any Recommends: python3-boto, python3-exif, python3-github, python3-html5lib, python3-httpretty, python3-jsmin, python3-libxmp, python3-lzma, python3-mutagen, python3-nose, python3-pyperclip, python3-requests-ftp, python3-vcr, python3-whoosh Suggests: python3-duecredit, datalad-container, datalad-crawler, datalad-neuroimaging, python3-bs4, python3-numpy Breaks: datalad-container (<< 1.1.2) Homepage: https://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python3-datalad_0.15.5-1~nd120+1_all.deb Size: 883152 SHA256: 715c492ce5c9660cf6e83f9dd7e06efad2b5cefa9e5de7da526c4cd0a9a427d6 SHA1: ce63bc7cfb7157da5e57e8106411d5ffc344897c MD5sum: 765722ed289d9fa26b01628b72528074 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.