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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 84 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_i386.deb Size: 25192 SHA256: b3a7dfb2523aa88bc869163f709ddb812d4d313b0b68e17163f547f7732b94df SHA1: 7ba8a04e1c02237d33599633fbc4e122470914e1 MD5sum: 41a9d92dd1b23dec527a5fdc852e80fd 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: 0.13.1-1~nd120+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 502 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_0.13.1-1~nd120+1_all.deb Size: 201912 SHA256: c5500d87a6fc0938c54dec0f1ad2dd5943f73291b4ae21bf27e17d4689758923 SHA1: 09ae8dacc2a14e6b82ecc93cc6e47cb6dba035dd MD5sum: bc442098ddc692e94fc1936ce00d5e68 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 42 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_i386.deb Size: 15084 SHA256: ffa9f84e21e289f2b96da24bb67f93a1163efccea775a1965ca7e5ab2a3438e8 SHA1: 54e7c38dd176fd6222bb1558912d80b8bfde7dac MD5sum: 6f1cf2294731d3e600ba3bc332305496 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 34 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_i386.deb Size: 10912 SHA256: ed692bbcd97e13532d5f34f89760701cf6a7d097a1026284d3ec6fba6b047f04 SHA1: 60b4c7e49a52bd3fdd98cfb498658646c307d848 MD5sum: 8e9bcdd424c8a3a9d062d96c1594bb9b 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 57 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_i386.deb Size: 33696 SHA256: b4ed69307b8ac597029e54d34baa515d006da8d14aba2a06d875d87acb66bdff SHA1: cb35df88a2fdc22bdb5793ca21821fbe1ac7eb35 MD5sum: 8c103d9865c2b8ef85f2ca21dbced680 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: 43bc7e786eca7d1ca2126c450dfb7a2d783cd2f4 a3aa65743593fd06e75789b7ee694d7608ea5093 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5253 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_i386.deb Size: 1021232 SHA256: 03531159a3410f42017c76b6f6bfd1b8b48d28a514b98ba06d4641c19bca4f7b SHA1: 65cb709cfe6bd71d7ccfb12f31e3854e97ddc031 MD5sum: 2a9344c249a5b72eb65226bba3e3f457 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 241 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_i386.deb Size: 174944 SHA256: 219e332438a0c5c2ed518881e491cca6dd09f2c7a6262dc8dd0b10682df906aa SHA1: 906128013e5933fc0dcbcc4b1430ba91bf573e21 MD5sum: 2c884fe4eff1ff67bfc342f20ab599b9 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: 6a524106f2bd010a42df762ef9b03aa40e229787 a154e53362d434685408e292d6900afb2b171ce2 Package: psychtoolbox-3-lib Source: psychtoolbox-3 Version: 3.0.18.4.dfsg1-1~nd120+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 186 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), 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_i386.deb Size: 76416 SHA256: 94a3798758b70e17b980833721476f526ceb3215881a2099de40f4cc6c6e89f1 SHA1: f54f10168a6734a67cc5a3f9218a6de5bf80f77d MD5sum: 794da4611b68041bb5555ee9ef052cf3 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.