Package: dcm2niix Version: 1:1.0.20200427-1~nd20.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 815 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc-s1 (>= 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_1.0.20200427-1~nd20.04+1_amd64.deb Size: 204716 SHA256: 051202e3d1e0d2ca7008cc4d70d9764366e01a0da3043c5b4736a8d7bd51d370 SHA1: 77050573b92562dce96e793445e3dad3e72acd57 MD5sum: b207758497a6e7ec3105847bae85f99e 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: neurodebian Version: 0.40.1~nd20.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 93 Depends: python3, wget, neurodebian-archive-keyring, debconf (>= 0.5) | debconf-2.0 Recommends: netselect Suggests: neurodebian-desktop, neurodebian-popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian_0.40.1~nd20.04+1_all.deb Size: 34340 SHA256: 0ce25d39fdc4919d92c9a1ea99d409e80376b78b95994a0e5aef229256cdf03e SHA1: 0233f6a0a449b4818cac262456b58ef8537decd6 MD5sum: 14b6e1a9c29ed640d8b94701f5655b98 Description: neuroscience-oriented distribution - repository configuration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package enables the NeuroDebian repository on top of a standard Debian or Ubuntu system. Package: neurodebian-archive-keyring Source: neurodebian Version: 0.40.1~nd20.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: gnupg2 | gnupg, dirmngr Breaks: neurodebian-keyring (<< 0.34~) Replaces: neurodebian-keyring (<< 0.34~) Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-archive-keyring_0.40.1~nd20.04+1_all.deb Size: 11328 SHA256: 6b86b69b23b30b87c3db8a3466f1b5526559de3fbe54afbec7cab8da724d55fa SHA1: 7eb3a7f9bc6fde46c0a4a35415fe5a45dac2b3fe MD5sum: f5f72099074e764f6cb8dfe437d62adc Description: neuroscience-oriented distribution - GnuPG archive keys The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . The NeuroDebian project digitally signs its Release files. This package contains the archive keys used for that. Package: neurodebian-desktop Source: neurodebian Version: 0.40.1~nd20.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 190 Depends: ssh-askpass-gnome | ssh-askpass, desktop-base, adwaita-icon-theme | gnome-icon-theme, neurodebian-popularity-contest Recommends: reportbug-ng Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-desktop_0.40.1~nd20.04+1_all.deb Size: 117188 SHA256: 2bb7e3cbd09666ef18c346bd65511630d6a40da64b2175b94b78cf5ade1ef5e1 SHA1: 7acc025dbef738a0f876e9721f485f841000e74e MD5sum: 4919acdc296d8e18f9c3b1b91492cf14 Description: neuroscience-oriented distribution - desktop integration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package provides NeuroDebian artwork (icons, background image) and a NeuroDebian menu featuring the most popular neuroscience tools, which will be automatically installed upon initial invocation. Package: neurodebian-dev Source: neurodebian Version: 0.40.1~nd20.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 112 Depends: devscripts, neurodebian-archive-keyring Recommends: ubuntu-keyring, python3, zerofree, moreutils, time, debian-archive-keyring, apt-utils, cowbuilder, neurodebian-freeze Suggests: virtualbox-ose, virtualbox-ose-fuse, singularity-container Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-dev_0.40.1~nd20.04+1_all.deb Size: 34348 SHA256: 58cc7509ef8e8991b53adc789bf3c6314c23fc7e418f951d926c1b1af31d3135 SHA1: ad0fe8a86aefe1fc02a19b32477ead0876b1f42b MD5sum: 808308ce3233b38d0cfc9c5addbe2927 Description: neuroscience-oriented distribution - development tools The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package provides sources and development tools used by NeuroDebian to provide backports for a range of Debian/Ubuntu releases. Package: neurodebian-freeze Source: neurodebian Version: 0.40.1~nd20.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 38 Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-freeze_0.40.1~nd20.04+1_all.deb Size: 15488 SHA256: d50fdaf4289fce227d1b85aa9c492befb34bc6d31d0db528ff6b2dc5d6f95463 SHA1: d2bd5f6a6574a2dca1ee1211483028ed0e42ecc0 MD5sum: 6a50f4d421a1cb6fc0e68486b8d480af Description: nd_freeze tool to freeze APT sources to use snapshots The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This minimalistic package provides nd_freeze script to be used in rich or minimalistic environments (such as Docker or Singularity recipes) to freeze their APT sources. Intended to assist making such images reproducible. Package: neurodebian-popularity-contest Source: neurodebian Version: 0.40.1~nd20.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.40.1~nd20.04+1_all.deb Size: 13348 SHA256: f5d9bb3b7f825cf66a3bec2186c2e117012fbeae212a6d9768d69ce8fbaab62f SHA1: 7444da886b654cc0ab25811fbd4c4c0d6800c7a3 MD5sum: b307878f37e19aedf128bb03ed041f58 Description: neuroscience-oriented distribution - popcon integration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package is a complement to the generic popularity-contest package to enable anonymous submission of usage statistics to NeuroDebian in addition to the popcon submissions to the underlying distribution (either Debian or Ubuntu) popcon server. . Participating in popcon is important for the following reasons: * Popular packages receive more attention from developers; bugs are fixed faster and updates are provided quicker. * It ensures that support is not dropped for a previous release of Debian or Ubuntu while there are active users. * User statistics may be useful for upstream research software developers seeking funding for continued development. . This requires that popcon is activated for the underlying distribution (Debian or Ubuntu), which can be achieved by running "dpkg-reconfigure popularity-contest" as root. Package: python-sklearn-doc Source: scikit-learn Version: 0.22.2.post1+dfsg-5~nd20.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1172 Depends: neurodebian-popularity-contest, libjs-bootstrap, libjs-mathjax Suggests: python-sklearn Conflicts: python-scikits-learn-doc Replaces: python-scikits-learn-doc Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: doc Filename: pool/main/s/scikit-learn/python-sklearn-doc_0.22.2.post1+dfsg-5~nd20.04+1_all.deb Size: 235352 SHA256: 3fff8e6b50e311be7ce55f170223c7495f3f396198dca4e2242a21bb9b77dc8f SHA1: c1d9672a2711f1f0424a65c80756c99803bac0b5 MD5sum: 162bae2bf11e12f98dbaed562dac4e34 Description: documentation and examples for scikit-learn This package contains documentation and example scripts for python-sklearn. Package: python3-sklearn Source: scikit-learn Version: 0.22.2.post1+dfsg-5~nd20.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8984 Depends: neurodebian-popularity-contest, python3:any, python3-numpy, python3-scipy, python3-sklearn-lib (>= 0.22.2.post1+dfsg-5~nd20.04+1), python3-joblib (>= 0.9.2) Recommends: python3-nose, python3-pytest, python3-matplotlib Suggests: python3-dap, python-sklearn-doc, ipython3 Enhances: python3-mdp, python3-mvpa2 Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn_0.22.2.post1+dfsg-5~nd20.04+1_all.deb Size: 1784868 SHA256: 3de6b95b04d29e6560863f19ab34889c8a49859e069dde3d0cedf681b6599ac5 SHA1: 69c8a1f6be02b98470cc440663116fdcacd19fd1 MD5sum: cc31fe0908d01a56c4759c56c2d18322 Description: Python modules for machine learning and data mining - Python 3 scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) . This package contains the Python 3 version. Package: python3-sklearn-lib Source: scikit-learn Version: 0.22.2.post1+dfsg-5~nd20.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 11538 Depends: neurodebian-popularity-contest, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgomp1 (>= 4.9), libstdc++6 (>= 5.2), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3 (<< 3.9), python3 (>= 3.8~) Provides: python3.8-sklearn-lib Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn-lib_0.22.2.post1+dfsg-5~nd20.04+1_amd64.deb Size: 2365844 SHA256: 4a0de9395ab69f84530be47ef663f9e91d8e585d6dc59a0967129e15f7e267b7 SHA1: 7c897d1431aca38950e8cd71a06f9ee907d5dcd6 MD5sum: c0806c55ff4c7e7c2a39d55be0091c8b Description: low-level implementations and bindings for scikit-learn - Python 3 This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. . This package contains the Python 3 version. Package: svgtune Version: 0.3.0-1~nd20.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 27 Depends: neurodebian-popularity-contest, python3 | python, python3-lxml | python-lxml Suggests: inkscape Homepage: http://github.com/yarikoptic/svgtune Priority: optional Section: graphics Filename: pool/main/s/svgtune/svgtune_0.3.0-1~nd20.04+1_all.deb Size: 7496 SHA256: 240bdd6fbf6a04fb92568327ccb315976cd083e5d377dd1e1116ec4dd9519208 SHA1: bb28298fa99e1e45d518e28dfcd8694068240713 MD5sum: 84cac7290a8c172b9c47523931c8fc73 Description: tool to generate a set of .svg files out of a single .svg file svgtune is a little helper to generate a set of .svg files out of a single .svg file, by tuning respective groups/layers visibility, transparency or anything else. . It might come very handy for generation of incremental figures to be embedded into the presentation in any format which inkscape could render using original .svg file (e.g. pdf, png).