Package: arno-iptables-firewall Version: 1.9.2.k-3~jaunty.nd1 Architecture: all Maintainer: Michael Hanke Installed-Size: 844 Depends: iptables (>= 1.2.11), gawk, debconf (>= 1.3.22) | cdebconf (>= 0.43), debconf (>= 0.5) | debconf-2.0, iproute Recommends: lynx, dnsutils Homepage: http://rocky.eld.leidenuniv.nl/ Priority: optional Section: net Filename: pool/main/a/arno-iptables-firewall/arno-iptables-firewall_1.9.2.k-3~jaunty.nd1_all.deb Size: 132484 SHA256: 51eba5d1e08a7426efc4a4ca1f3a3afa792baa92eaea989414b53b42d1e57c1d SHA1: ef28a1aa6bb4747cca6c59fd8752b0cedf1c2666 MD5sum: 0782d32f4519d5ceb9d18f7e4d8c8419 Description: single- and multi-homed firewall script with DSL/ADSL support Unlike other lean iptables frontends in Debian, arno-iptables-firewall will setup and load a secure, restrictive firewall by just asking a few question. This includes configuring internal networks for internet access via NAT and potential network services (e.g. http or ssh). . However, it is in no way restricted to this simple setup. Some catch words of additional features, that can be enabled in the well documented configuration file are: DSL/ADSL, Port forwarding, DMZ's, portscan detection, MAC address filtering. Package: biosig-tools Source: biosig4c++ Version: 0.94.2+svn2552-1~pre1~nd09.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 656 Depends: libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.2.1), libsuitesparse-3.2.0 (>= 1:3.2.0), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: science Filename: pool/main/b/biosig4c++/biosig-tools_0.94.2+svn2552-1~pre1~nd09.04+1_i386.deb Size: 252666 SHA256: 7a6282bcef37e101809d4fe6569b2a735dd936e7884266387b4a3773aae30e9f SHA1: 88b92a2262c38edb12da6b11da98574de66fa0c0 MD5sum: b516836c9f9079567ace70bf154da431 Description: format conversion tools for biomedical data formats Based on BioSig library, this package provides command line tools, such as * save2gdf: converter between different file formats, including but not limited to SCP-ECG(EN1064), HL7aECG (FDA-XML), GDF, EDF, BDF, CWFB. save2gdf can be also used to upload or retrieve data from a bscs server. TODO... Extend? ship client/server? Package: caret Version: 5.6.1.3~dfsg.1-1~jaunty.nd1 Architecture: i386 Maintainer: Michael Hanke Installed-Size: 18512 Depends: libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libminc2-1, libqt4-assistant (>= 4.5.0~+rc1), libqt4-network (>= 4.5.0~+rc1), libqt4-opengl (>= 4.5.0~+rc1), libqt4-xml (>= 4.5.0~+rc1), libqtcore4 (>= 4.5.0~+rc1), libqtgui4 (>= 4.5.0~+rc1), libqwt5-qt4, libstdc++6 (>= 4.2.1), libvtk5, zlib1g (>= 1:1.1.4) Suggests: caret-data (>= 5.6~dfsg.1) Homepage: http://brainvis.wustl.edu/wiki/index.php/Caret:About Priority: optional Section: science Filename: pool/main/c/caret/caret_5.6.1.3~dfsg.1-1~jaunty.nd1_i386.deb Size: 7118878 SHA256: edde63d56264f2362d2f64325f9024cb1a3a4358c84a1cccbee4f7369d8f9218 SHA1: 4f1a74808ee15e01b41065eb36c52c145f462532 MD5sum: 213e047df549994655c49b4089b1ceb2 Description: Computerized Anatomical Reconstruction and Editing Toolkit This software allows for creating, viewing and manipulating surface reconstructions of the cerebral and cerebellar cortex, viewing volumes and for displaying experimental data on the surfaces and volumes. While Caret is primarily a GUI application with 'caret_command' there is also a versatile command line tool, that allows access to a substantial proportion of Caret's functionality. . Caret can download and use stereotaxic atlases (human, monkey, mouse and rat) from an open online database. . Reference: . Van Essen, D.C., Dickson, J., Harwell, J., Hanlon, D., Anderson, C.H. and Drury, H.A. 2001. An Integrated Software System for Surface-based Analyses of Cerebral Cortex. Journal of American Medical Informatics Association, 8(5), 443-459. Package: caret-data Version: 5.6~dfsg.1-1 Architecture: all Maintainer: Michael Hanke Installed-Size: 236780 Homepage: http://brainmap.wustl.edu/caret Priority: optional Section: science Filename: pool/main/c/caret-data/caret-data_5.6~dfsg.1-1_all.deb Size: 175205418 SHA256: 329a14cfd5547064496d4f6909db62578412857ad7d5f73e129335481f550b47 SHA1: 7d6cbdd77b04f258327d2bc9fcc4b0494fcf71bc MD5sum: e5f41497554088124975dfc27ba6378b Description: common data files for Caret This package provides online help, tutorials and atlas datasets for Caret. Package: cython Version: 0.13-1~nd09.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4608 Depends: python (<< 2.7), python (>= 2.5), python-support (>= 0.7.1), libc6 (>= 2.4) Suggests: gcc Homepage: http://cython.org/ Priority: optional Section: python Filename: pool/main/c/cython/cython_0.13-1~nd09.04+1_i386.deb Size: 1072780 SHA256: d59fef6688d14e46c2c6a39ca2d73d6f97084d8d7e505ccfe1c48cc90b4f9588 SHA1: c1fff2ebc7ca901f903d2d03f4ccb73e2a12041f MD5sum: c23afc06c6a93c98b32069a747d40e39 Description: C-Extensions for Python Cython is a language that makes writing C extensions for the Python language as easy as Python itself. Cython is based on the well-known Pyrex, but supports more cutting edge functionality and optimizations. . The Cython language is very close to the Python language, but Cython additionally supports calling C functions and declaring C types on variables and class attributes. This allows the compiler to generate very efficient C code from Cython code. . This makes Cython the ideal language for wrapping for external C libraries, and for fast C modules that speed up the execution of Python code. Python-Version: 2.5, 2.6 Package: cython-dbg Source: cython Version: 0.13-1~nd09.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 8352 Depends: python (<< 2.7), python (>= 2.5), python-support (>= 0.7.1), libc6 (>= 2.4), cython (= 0.13-1~nd09.04+1) Suggests: gcc Homepage: http://cython.org/ Priority: extra Section: debug Filename: pool/main/c/cython/cython-dbg_0.13-1~nd09.04+1_i386.deb Size: 3073932 SHA256: da5526e7f330baadb44c4c9a5fa66b51a1b83fb754d05c372cf75af25bb7043e SHA1: fb105c8c22f129b4cd11aa33d21f73b182fd02bc MD5sum: 194c5181f467d7ad82034d27c6cfafa8 Description: C-Extensions for Python (Debug Build of Cython) This package contains Cython libraries built against versions of Python configured with --pydebug. Python-Version: 2.5, 2.6 Package: debhelper Version: 7.4.11~bpo50+1~jaunty.nd1 Architecture: all Maintainer: Joey Hess Installed-Size: 1360 Depends: perl, perl-base (>= 5.10), file (>= 3.23), dpkg-dev (>= 1.14.19), html2text, binutils, po-debconf, man-db (>= 2.5.1-1) Suggests: dh-make Conflicts: dpkg-cross (<< 1.18), python-central (<< 0.5.6), python-support (<< 0.5.3) Homepage: http://kitenet.net/~joey/code/debhelper/ Priority: optional Section: devel Filename: pool/main/d/debhelper/debhelper_7.4.11~bpo50+1~jaunty.nd1_all.deb Size: 463476 SHA256: ca82359d2a6dc0da2832bbffd787949f3fd245912133da8a2f59a4b43c45fb70 SHA1: 9f35edfdaac8b2ee5105e491aec838482e043825 MD5sum: 240c436a7891473f963cebe0c45f1728 Description: helper programs for debian/rules A collection of programs that can be used in a debian/rules file to automate common tasks related to building debian packages. Programs are included to install various files into your package, compress files, fix file permissions, integrate your package with the debian menu system, debconf, doc-base, etc. Most debian packages use debhelper as part of their build process. Package: dicomnifti Version: 2.28.14-2~jaunty.nd1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 500 Depends: libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libnifti2, libstdc++6 (>= 4.2.1) Homepage: http://cbi.nyu.edu/software/dinifti.php Priority: optional Section: science Filename: pool/main/d/dicomnifti/dicomnifti_2.28.14-2~jaunty.nd1_i386.deb Size: 151738 SHA256: 0c0cb413fb4b5d2de5da48566727b903af202b06abc8b2c4a09191b55220c036 SHA1: 4465df2f65bed33278644c5ae550f00102e03117 MD5sum: d750925e046ea10fb76ebbdc71f7b07f Description: converts DICOM files into the NIfTI format The dinifti program converts MRI images stored in DICOM format to NIfTI format. The NIfTI format is thought to be the new standard image format for medical imaging and can be used with for example with FSL, AFNI, SPM, Caret or Freesurfer. . dinifti converts single files, but also supports fully automatic batch conversions of complete dicomdirs. Additionally, converted NIfTI files can be properly named, using image series information from the DICOM files. Package: epydoc-doc Source: epydoc Version: 3.0.1-4~jaunty.nd1 Architecture: all Maintainer: Kenneth J. Pronovici Installed-Size: 15008 Recommends: iceweasel | www-browser Priority: optional Section: doc Filename: pool/main/e/epydoc/epydoc-doc_3.0.1-4~jaunty.nd1_all.deb Size: 1544776 SHA256: 51ee31a039129212fcdc7b80213e2566ccc3749cd849c00b07a5e8242ec0aa1e SHA1: 3ce8bb7727b5c9c52f90b40d9421f4c7034d6e79 MD5sum: c514e5964b7f5c7bc2190ce74c2391f6 Description: official documentation for the Epydoc package Epydoc is a tool for generating API documentation for Python modules based on their docstrings. A lightweight markup language called epytext can be used to format docstrings and to add information about specific fields, such as parameters and instance variables. Epydoc also understands docstrings written in ReStructuredText, Javadoc, and plaintext. . This package contains the API reference and usage information for Epydoc, all available through the Debian documentation system (dhelp, dwww, doc-central, etc.) in the Devel section. Package: fslview Version: 3.1.8+4.1.6-2~jaunty.nd1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 3860 Depends: libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libnewmat10ldbl, libnifti2, libqt3-mt (>= 3:3.3.8-b), libqwt4c2, libstdc++6 (>= 4.2.1), libvtk5, libvtk5-qt3 Recommends: fslview-doc Suggests: fsl-atlases Conflicts: fsl-fslview Replaces: fsl-fslview Homepage: http://www.fmrib.ox.ac.uk/fsl/fslview Priority: optional Section: science Filename: pool/main/f/fslview/fslview_3.1.8+4.1.6-2~jaunty.nd1_i386.deb Size: 1479176 SHA256: a5a5efdca3b4bae7d0946a2fbe289e6c0891661fd582bb7a1b8f5ff69a1d8890 SHA1: 29016b19b7895c7694f4c5ddd35d4f6dad8704f9 MD5sum: 76d990eaca3b2df0b9676f5cbe0c6094 Description: viewer for (f)MRI and DTI data This package provides a viewer for 3d and 4d MRI data as well as DTI images. FSLView is able to display ANALYZE and NIFTI files. The viewer supports multiple 2d viewing modes (orthogonal, lightbox or single slices), but also 3d volume rendering. Additionally FSLView is able to visualize timeseries and can overlay metrical and stereotaxic atlas data. . FSLView is part of FSL. Package: fslview-doc Source: fslview Version: 3.1.8+4.1.6-2~jaunty.nd1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 3216 Depends: qt3-assistant Homepage: http://www.fmrib.ox.ac.uk/fsl/fslview Priority: optional Section: doc Filename: pool/main/f/fslview/fslview-doc_3.1.8+4.1.6-2~jaunty.nd1_all.deb Size: 2378978 SHA256: cea54623e73f095616697b6d2d005886f133fa76f9f7e68bead01bbe26cdbff7 SHA1: 403d46ade71b45711387b3f31f73bd17691c06ed MD5sum: 02d465e653537e608f059ad3dca2abcf Description: Documentation for FSLView This package provides the online documentation for FSLView. . FSLView is part of FSL. Package: gifti-bin Source: gifticlib Version: 1.0.9-1~jaunty.nd1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 128 Depends: libc6 (>= 2.3.4), libexpat1 (>= 1.95.8), libgiftiio0, libnifti2, zlib1g (>= 1:1.1.4) Homepage: http://www.nitrc.org/projects/gifti Priority: optional Section: utils Filename: pool/main/g/gifticlib/gifti-bin_1.0.9-1~jaunty.nd1_i386.deb Size: 29028 SHA256: 97ac94888a715c227c6091418a52f56e1870a0376c4d814571d3d2a20b2956df SHA1: 67b0ac5b61eea7b0061a5e66536e7d5e3fa61637 MD5sum: 77cc9c0936d9563f81998981c26a6a78 Description: tools shipped with the GIFTI library GIFTI is an XML-based file format for cortical surface data. This reference IO implementation is developed by the Neuroimaging Informatics Technology Initiative (NIfTI). . This package provides the tools that are shipped with the library (gifti_tool and gifti_test). Package: hdf5-tools Source: hdf5 Version: 1.8.3-2.1~jaunty.nd1 Architecture: i386 Maintainer: Debian GIS Project Installed-Size: 1224 Depends: libc6 (>= 2.7), libhdf5-serial-1.8.3 | libhdf5-1.8.3, zlib1g (>= 1:1.1.4) Homepage: http://hdfgroup.org/HDF5/ Priority: optional Section: science Filename: pool/main/h/hdf5/hdf5-tools_1.8.3-2.1~jaunty.nd1_i386.deb Size: 386108 SHA256: 8662cd8a979e0f8db1e05b56cd8f0d88e40fa5048eebf3490e2ed35bce56893d SHA1: 7f30c77b01b3c5d51cd557c4402138e5d38ed147 MD5sum: fe4e73ba5b0bc9064700c06f4f989a3b Description: Hierarchical Data Format 5 (HDF5) - Runtime tools HDF5 is a file format and library for storing scientific data. HDF5 was designed and implemented to address the deficiencies of HDF4.x. It has a more powerful and flexible data model, supports files larger than 2 GB, and supports parallel I/O. . This package contains runtime tools for HDF5. Package: kbibtex Version: 0.2.3-1~jaunty.nd1 Architecture: i386 Maintainer: Michael Hanke Installed-Size: 2512 Depends: kdelibs4c2a (>= 4:3.5.9), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libqt3-mt (>= 3:3.3.8-b), libstdc++6 (>= 4.1.1), libxml2 (>= 2.6.27), libxslt1.1 (>= 1.1.18) Recommends: texlive-bibtex-extra Suggests: texlive-latex-base | tetex-extra, bibtex2html, latex2rtf Homepage: http://www.unix-ag.uni-kl.de/~fischer/kbibtex Priority: optional Section: kde Filename: pool/main/k/kbibtex/kbibtex_0.2.3-1~jaunty.nd1_i386.deb Size: 758816 SHA256: ee21b49c1628454183de84dd6a5991a939bde3bc4f23721827420b3c745efe41 SHA1: f45d64a6ab43674856bed1a9b2c5b857f6bde5dd MD5sum: 568dd451af2a2c87994990f2d28ff81e Description: BibTeX editor for KDE An application to manage bibliography databases in the BibTeX format. KBibTeX can be used as a standalone program, but can also be embedded into other KDE applications (e.g. as bibliography editor into Kile). . KBibTeX can query online ressources (e.g. Google scholar) via customizable search URLs. It is also able to import complete datasets from NCBI Pubmed. It also supports tagging references with keywords and manages references to local files. . BibTeX files can be exported into HTML, XML, PDF, PS and RTF format using a number of citation styles. Package: libbiosig-dev Source: biosig4c++ Version: 0.94.2+svn2552-1~pre1~nd09.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1252 Depends: libbiosig0 (= 0.94.2+svn2552-1~pre1~nd09.04+1) Homepage: http://biosig.sf.net/ Priority: extra Section: libdevel Filename: pool/main/b/biosig4c++/libbiosig-dev_0.94.2+svn2552-1~pre1~nd09.04+1_i386.deb Size: 371828 SHA256: 8794c56efa4ba5e10c04c152caf6f9536e2c4d7b583340e47e5ba4fa03a7ec53 SHA1: eff981203773b5678fc15a6482bcf57248c6edc8 MD5sum: 3f48bd2e03256c0dd6e3732a8f4406f0 Description: I/O library for biomedical data - development files BioSig is a library for accessing files in several biomedical data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://hci.tugraz.at/schloegl/biosig/TESTED . . This package provides header files and static library. Package: libbiosig0 Source: biosig4c++ Version: 0.94.2+svn2552-1~pre1~nd09.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 788 Depends: libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.2.1), libsuitesparse-3.2.0 (>= 1:3.2.0), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: libs Filename: pool/main/b/biosig4c++/libbiosig0_0.94.2+svn2552-1~pre1~nd09.04+1_i386.deb Size: 293150 SHA256: 3ba08f78cf5316c15bc7ab6cef8c744e19e68c42199c54bc8e48e866ece4779b SHA1: 04f618587897ecd9a0813ff914e88d867b9d65bc MD5sum: 00d14916314765bbf5b1e81d2d5b1714 Description: I/O library for biomedical data - dynamic library BioSig is a library for accessing files in several biomedical data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://hci.tugraz.at/schloegl/biosig/TESTED . . This package provides dynamic library. Package: libbiosig0-dbg Source: biosig4c++ Version: 0.94.2+svn2552-1~pre1~nd09.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 676 Depends: libbiosig0 (= 0.94.2+svn2552-1~pre1~nd09.04+1) Homepage: http://biosig.sf.net/ Priority: extra Section: debug Filename: pool/main/b/biosig4c++/libbiosig0-dbg_0.94.2+svn2552-1~pre1~nd09.04+1_i386.deb Size: 183228 SHA256: fb623774fbd0f488d463550f49ec2c2a0bf093740818a130c5df4748c6148639 SHA1: 118d485382f1f219e54e89736af215ba0be4a08a MD5sum: 1a97a069625856a81296d223b9af2713 Description: I/O library for biomedical data - debug symbols BioSig is a library for accessing files in several biomedical data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://hci.tugraz.at/schloegl/biosig/TESTED . . This package provides debug symbols. Package: libgiftiio-dev Source: gifticlib Version: 1.0.9-1~jaunty.nd1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 212 Depends: libgiftiio0 (= 1.0.9-1~jaunty.nd1) Homepage: http://www.nitrc.org/projects/gifti Priority: optional Section: libdevel Filename: pool/main/g/gifticlib/libgiftiio-dev_1.0.9-1~jaunty.nd1_i386.deb Size: 63722 SHA256: 467c305fd194bffbcd7c78270862e716bf897b8b5cc398f6ea44cbacd606ec90 SHA1: 4f0b4146ae1090fd06f6b581a3028f9905b66549 MD5sum: 4d8534133dac22c5813152e9c85c3b8a Description: IO library for the GIFTI cortical surface data format GIFTI is an XML-based file format for cortical surface data. This reference IO implementation is developed by the Neuroimaging Informatics Technology Initiative (NIfTI). . This package provides the header files and static library. Package: libgiftiio0 Source: gifticlib Version: 1.0.9-1~jaunty.nd1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 184 Depends: libc6 (>= 2.4), libexpat1 (>= 1.95.8), libnifti2, zlib1g (>= 1:1.1.4) Homepage: http://www.nitrc.org/projects/gifti Priority: optional Section: libs Filename: pool/main/g/gifticlib/libgiftiio0_1.0.9-1~jaunty.nd1_i386.deb Size: 58458 SHA256: 234c0525da57e1be126e9442581cb69e21cbecdaa621f178788f198636027554 SHA1: f1e59fff6054720806b5e1e7bf84a3e15b6f88d1 MD5sum: d3562ad6923487ce23c89244d8680041 Description: IO library for the GIFTI cortical surface data format GIFTI is an XML-based file format for cortical surface data. This reference IO implementation is developed by the Neuroimaging Informatics Technology Initiative (NIfTI). . This package contains the shared library. Package: libhdf5-doc Source: hdf5 Version: 1.8.3-2.1~jaunty.nd1 Architecture: all Maintainer: Debian GIS Project Installed-Size: 188 Suggests: libhdf5-dev, www-browser, pdf-viewer, doc-base Homepage: http://hdfgroup.org/HDF5/ Priority: optional Section: doc Filename: pool/main/h/hdf5/libhdf5-doc_1.8.3-2.1~jaunty.nd1_all.deb Size: 77880 SHA256: ac8ac5ce85aff9fc91c006a35014c19f56518a2e729532e92e8fd69df8110753 SHA1: 4604cf2c032867c95d22089abb81414a56bb07ea MD5sum: 7580e5c4d6df96baa8c1706198ddc3ed Description: Hierarchical Data Format 5 (HDF5) - Documentation HDF5 is a file format and library for storing scientific data. HDF5 was designed and implemented to address the deficiencies of HDF4.x. It has a more powerful and flexible data model, supports files larger than 2 GB, and supports parallel I/O. . This package contains documentation for HDF5. Package: libhdf5-lam-1.8.3 Source: hdf5 Version: 1.8.3-2.1~jaunty.nd1 Architecture: i386 Maintainer: Debian GIS Project Installed-Size: 4964 Depends: libc6 (>= 2.7), liblam4, zlib1g (>= 1:1.1.4) Conflicts: libhdf5-1.8.3 Provides: libhdf5-1.8.3 Homepage: http://hdfgroup.org/HDF5/ Priority: extra Section: libs Filename: pool/main/h/hdf5/libhdf5-lam-1.8.3_1.8.3-2.1~jaunty.nd1_i386.deb Size: 1135944 SHA256: 2faf65081ec01afcbdc851ba55c1f9bbf654da82fe513ebe1f925cb5e0a1d2a3 SHA1: 9943d3755967938d7337c51947a936ec97373336 MD5sum: af701890ea525751e393a01bc353b8aa Description: Hierarchical Data Format 5 (HDF5) - runtime files - LAM version HDF5 is a file format and library for storing scientific data. HDF5 was designed and implemented to address the deficiencies of HDF4.x. It has a more powerful and flexible data model, supports files larger than 2 GB, and supports parallel I/O. . This package contains runtime files for use with LAM. Package: libhdf5-lam-dev Source: hdf5 Version: 1.8.3-2.1~jaunty.nd1 Architecture: i386 Maintainer: Debian GIS Project Installed-Size: 6888 Depends: libhdf5-lam-1.8.3 (= 1.8.3-2.1~jaunty.nd1), zlib1g-dev, libjpeg62-dev, lam4-dev Suggests: libhdf5-doc Conflicts: libhdf5-dev Provides: libhdf5-dev Homepage: http://hdfgroup.org/HDF5/ Priority: extra Section: libdevel Filename: pool/main/h/hdf5/libhdf5-lam-dev_1.8.3-2.1~jaunty.nd1_i386.deb Size: 1592242 SHA256: b2138d70f5be90bfbd1798ec94fd44042e4d8ff63635501d2ced5459d14c44bf SHA1: ca1038a4b48b00fbee74e3fb14624adb34e494e9 MD5sum: b5cc022bc262d0252de3c770d4b7eafe Description: Hierarchical Data Format 5 (HDF5) - development files - LAM version HDF5 is a file format and library for storing scientific data. HDF5 was designed and implemented to address the deficiencies of HDF4.x. It has a more powerful and flexible data model, supports files larger than 2 GB, and supports parallel I/O. . This package contains development files for use with LAM. Package: libhdf5-mpich-1.8.3 Source: hdf5 Version: 1.8.3-2.1~jaunty.nd1 Architecture: i386 Maintainer: Debian GIS Project Installed-Size: 5752 Depends: libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libgfortran3 (>= 4.3), zlib1g (>= 1:1.1.4) Conflicts: libhdf5-1.8.3 Provides: libhdf5-1.8.3 Homepage: http://hdfgroup.org/HDF5/ Priority: extra Section: libs Filename: pool/main/h/hdf5/libhdf5-mpich-1.8.3_1.8.3-2.1~jaunty.nd1_i386.deb Size: 1434186 SHA256: 73a2431214293a8bcae6eebe2aa42c753f97cee0d0766133801af4d7417804cb SHA1: 980fa27d1736616a0d101cc1645ea3a01daba5ae MD5sum: eca4c3827f759cf6fa6ed7bac76e9bb7 Description: Hierarchical Data Format 5 (HDF5) - runtime files - MPICH version HDF5 is a file format and library for storing scientific data. HDF5 was designed and implemented to address the deficiencies of HDF4.x. It has a more powerful and flexible data model, supports files larger than 2 GB, and supports parallel I/O. . This package contains runtime files for use with MPICH. Warning: the C++ interface is not provided for this version. Package: libhdf5-mpich-dev Source: hdf5 Version: 1.8.3-2.1~jaunty.nd1 Architecture: i386 Maintainer: Debian GIS Project Installed-Size: 14916 Depends: libhdf5-mpich-1.8.3 (= 1.8.3-2.1~jaunty.nd1), zlib1g-dev, libjpeg62-dev, libmpich1.0-dev Suggests: libhdf5-doc Conflicts: libhdf5-dev Provides: libhdf5-dev Homepage: http://hdfgroup.org/HDF5/ Priority: extra Section: libdevel Filename: pool/main/h/hdf5/libhdf5-mpich-dev_1.8.3-2.1~jaunty.nd1_i386.deb Size: 2266066 SHA256: de3bff6bf6d34b10bdaee602e9a6bdb94417a96d4575ac9b372de285ba44e20e SHA1: 5bc14359ef5c8af834b6c52f3e4cbb810699b4c2 MD5sum: 1e08e3ab85a86689e7711455102e7048 Description: Hierarchical Data Format 5 (HDF5) - development files - MPICH version HDF5 is a file format and library for storing scientific data. HDF5 was designed and implemented to address the deficiencies of HDF4.x. It has a more powerful and flexible data model, supports files larger than 2 GB, and supports parallel I/O. . This package contains development files for use with MPICH. Warning: the C++ interface is not provided for this version. Package: libhdf5-openmpi-1.8.3 Source: hdf5 Version: 1.8.3-2.1~jaunty.nd1 Architecture: i386 Maintainer: Debian GIS Project Installed-Size: 5228 Depends: libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libgfortran3 (>= 4.3), libopenmpi1, zlib1g (>= 1:1.1.4) Conflicts: libhdf5-1.8.3 Provides: libhdf5-1.8.3 Homepage: http://hdfgroup.org/HDF5/ Priority: extra Section: libs Filename: pool/main/h/hdf5/libhdf5-openmpi-1.8.3_1.8.3-2.1~jaunty.nd1_i386.deb Size: 1212722 SHA256: 9923b0099d28d3086ff688d99f5578d9a871c61df190372e8e51e094fea1eb34 SHA1: 7ae41bfe08a85c95ff636cd04023ee213c523723 MD5sum: c67abaad8281f19596213b34e01106cd Description: Hierarchical Data Format 5 (HDF5) - runtime files - OpenMPI version HDF5 is a file format and library for storing scientific data. HDF5 was designed and implemented to address the deficiencies of HDF4.x. It has a more powerful and flexible data model, supports files larger than 2 GB, and supports parallel I/O. . This package contains runtime files for use with OpenMPI. Package: libhdf5-openmpi-dev Source: hdf5 Version: 1.8.3-2.1~jaunty.nd1 Architecture: i386 Maintainer: Debian GIS Project Installed-Size: 14920 Depends: libhdf5-openmpi-1.8.3 (= 1.8.3-2.1~jaunty.nd1), zlib1g-dev, libjpeg62-dev, libopenmpi-dev Suggests: libhdf5-doc Conflicts: libhdf5-dev Provides: libhdf5-dev Homepage: http://hdfgroup.org/HDF5/ Priority: extra Section: libdevel Filename: pool/main/h/hdf5/libhdf5-openmpi-dev_1.8.3-2.1~jaunty.nd1_i386.deb Size: 2266790 SHA256: ecd848bca56ceba6ee607ff82d6dab77105aa17415dddbb6de088889674fd85e SHA1: 2544d6fed88b1175dec65b85634c6af2a565cc52 MD5sum: eb715fde007cd4b4a6c07fe8716db097 Description: Hierarchical Data Format 5 (HDF5) - development files - OpenMPI version HDF5 is a file format and library for storing scientific data. HDF5 was designed and implemented to address the deficiencies of HDF4.x. It has a more powerful and flexible data model, supports files larger than 2 GB, and supports parallel I/O. . This package contains development files for use with OpenMPI. Package: libhdf5-serial-1.8.3 Source: hdf5 Version: 1.8.3-2.1~jaunty.nd1 Architecture: i386 Maintainer: Debian GIS Project Installed-Size: 5532 Depends: libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libgfortran3 (>= 4.3), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Conflicts: libhdf5-1.8.3 Provides: libhdf5-1.8.3 Homepage: http://hdfgroup.org/HDF5/ Priority: optional Section: libs Filename: pool/main/h/hdf5/libhdf5-serial-1.8.3_1.8.3-2.1~jaunty.nd1_i386.deb Size: 1310832 SHA256: fa02c2e7d785435b844bf429ad28b9afe766fe9d10804a2bce3bfa50d0c046e8 SHA1: f15c2ec9e34da02c3b38f0eb8525a0daae50b239 MD5sum: 1f206e84515917e2d1775ab4e2dc6934 Description: Hierarchical Data Format 5 (HDF5) - runtime files - serial version HDF5 is a file format and library for storing scientific data. HDF5 was designed and implemented to address the deficiencies of HDF4.x. It has a more powerful and flexible data model, supports files larger than 2 GB, and supports parallel I/O. . This package contains runtime files for serial platforms. Package: libhdf5-serial-dev Source: hdf5 Version: 1.8.3-2.1~jaunty.nd1 Architecture: i386 Maintainer: Debian GIS Project Installed-Size: 15228 Depends: libhdf5-serial-1.8.3 (= 1.8.3-2.1~jaunty.nd1), zlib1g-dev, libjpeg-dev Suggests: libhdf5-doc Conflicts: libhdf5-dev Provides: libhdf5-dev Homepage: http://hdfgroup.org/HDF5/ Priority: optional Section: libdevel Filename: pool/main/h/hdf5/libhdf5-serial-dev_1.8.3-2.1~jaunty.nd1_i386.deb Size: 2363376 SHA256: 4b418a6bfc68b478dc0675d86dfcf9f2bf605c14cf73d04d4f882672e65ba914 SHA1: deb5f4849b86280b1153b1517e2633038a1870ba MD5sum: f1a8417b67057d263dbf3901351c9812 Description: Hierarchical Data Format 5 (HDF5) - development files - serial version HDF5 is a file format and library for storing scientific data. HDF5 was designed and implemented to address the deficiencies of HDF4.x. It has a more powerful and flexible data model, supports files larger than 2 GB, and supports parallel I/O. . This package contains development files for serial platforms. Package: libnifti-dev Source: nifticlib Version: 2.0.0-1~jaunty.nd1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 460 Depends: libnifti2 (= 2.0.0-1~jaunty.nd1) Conflicts: libfslio-dev, libnifti0-dev, libnifti1-dev, libniftiio-dev Replaces: libnifti1-dev Homepage: http://niftilib.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/n/nifticlib/libnifti-dev_2.0.0-1~jaunty.nd1_i386.deb Size: 151044 SHA256: 33791fa7cb4899442c6f91c4e69730ae28cd5a5b6b2a6f850cc678ceafd10f61 SHA1: b887333b0c92f39daf94cc9ebba21f25f90386b3 MD5sum: a0222777d6f684a63143a08a2229705b Description: IO libraries for the NIfTI-1 data format Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package provides the header files and static libraries of libniftiio, znzlib and libnifticdf. Package: libnifti-doc Source: nifticlib Version: 2.0.0-1~jaunty.nd1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1156 Homepage: http://niftilib.sourceforge.net Priority: optional Section: doc Filename: pool/main/n/nifticlib/libnifti-doc_2.0.0-1~jaunty.nd1_all.deb Size: 176648 SHA256: ab05334c4b95d80ec88aa0b729643814e7aeb0e239e8fc7128cd077ba40c5d21 SHA1: 5a1325cb3e826ca2382ece57bbcb388764ea6b78 MD5sum: 7e89de56cbb748949311eb8337678fb0 Description: NIfTI library API documentation Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package provides the library API reference documentation. Package: libnifti1 Source: nifticlib Version: 1.1.0-3~jaunty.apsy1 Architecture: i386 Maintainer: Michael Hanke Installed-Size: 300 Depends: libc6 (>= 2.4), zlib1g (>= 1:1.1.4) Conflicts: libniftiio1 Homepage: http://niftilib.sourceforge.net Priority: optional Section: libs Filename: pool/main/n/nifticlib/libnifti1_1.1.0-3~jaunty.apsy1_i386.deb Size: 105896 SHA256: 9288d0786bd40c4436c9d37cfabe0aa522e8bc13eaacbaa8730ac21faa8ad46c SHA1: 0b2270c21c43de8e2c753084f5cdb6b7a94131a8 MD5sum: 043e3e49863f0ebb2b1045b919671337 Description: IO libraries for the NIfTI-1 data format Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package contains the shared library of the low-level IO library niftiio, low-level IO library znzlib and the nifticdf shared library that provides functions to compute cumulative distributions and their inverses. Package: libnifti1-dev Source: nifticlib Version: 1.1.0-3~jaunty.apsy1 Architecture: i386 Maintainer: Michael Hanke Installed-Size: 452 Depends: libnifti1 (= 1.1.0-3~jaunty.apsy1) Conflicts: libfslio-dev, libnifti-dev, libnifti0-dev, libniftiio-dev Provides: libnifti-dev Homepage: http://niftilib.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/n/nifticlib/libnifti1-dev_1.1.0-3~jaunty.apsy1_i386.deb Size: 149260 SHA256: f5d94a6846ce99135d72926403401a9f22fb0c0c1ef11e1190d1784095a403b4 SHA1: 0b6d834bd10eb077dd812deab75f4deaeaa8c049 MD5sum: eb42cfdb48f2ce02569257372439db14 Description: IO libraries for the NIfTI-1 data format Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package provides the header files and static libraries of libniftiio, znzlib and libnifticdf. Package: libnifti2 Source: nifticlib Version: 2.0.0-1~jaunty.nd1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 308 Depends: libc6 (>= 2.4), zlib1g (>= 1:1.1.4) Homepage: http://niftilib.sourceforge.net Priority: optional Section: libs Filename: pool/main/n/nifticlib/libnifti2_2.0.0-1~jaunty.nd1_i386.deb Size: 107406 SHA256: ab0bfe32349575baee94f2460d1964cf17d2318d6ee950b1bbe5975688c84f96 SHA1: 71fdcf834512a4d93308067cb7d32846e3b910e5 MD5sum: 1997d5b9298c4cd10885a6fdfd3e5f58 Description: IO libraries for the NIfTI-1 data format Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package contains the shared library of the low-level IO library niftiio, low-level IO library znzlib and the nifticdf shared library that provides functions to compute cumulative distributions and their inverses. Package: libodin-dev Source: odin Version: 1.8.1-3~jaunty.nd1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 15772 Homepage: http://od1n.sourceforge.net Priority: extra Section: libdevel Filename: pool/main/o/odin/libodin-dev_1.8.1-3~jaunty.nd1_i386.deb Size: 4052722 SHA256: e2f6ad68c74e8c3b38c72078e1427ddbc9d24b669217b2e2fbfc7ec83addbb29 SHA1: 14e8c99fd0b130f4bfd034865d89cbc7052d03e0 MD5sum: bd2ed0538664f300b251e1127df9be69 Description: static libraries and header for ODIN sequences This package provides static libraries and headers of the ODIN libraries odindata, adinpara, odinqt, odinseq and tjutils. They are required for building magnetic resonance imaging (MRI) sequences with ODIN. Package: libvia-dev Source: via Version: 1.6.0-2~jaunty.nd1 Architecture: i386 Maintainer: Michael Hanke Installed-Size: 700 Depends: libvia0 (= 1.6.0-2~jaunty.nd1) Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: libdevel Filename: pool/main/v/via/libvia-dev_1.6.0-2~jaunty.nd1_i386.deb Size: 214598 SHA256: 6c595d49121fce85b49cda1948016f37de526329a71e68e1f2f14ed4eb7e5205 SHA1: 9a09e367ee0d146cc5aed5fb73d61fa66c02c805 MD5sum: 1aaaf5f590f60dd6753b154e9cb405c5 Description: library for volumetric image analysis VIA is a volumetric image analysis suite. The included libraries provide about 70 image analysis functions. . This package provides the header files and static libraries of vialib, vxlib and viaio. Package: libvia-doc Source: via Version: 1.6.0-2~jaunty.nd1 Architecture: all Maintainer: Michael Hanke Installed-Size: 936 Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: doc Filename: pool/main/v/via/libvia-doc_1.6.0-2~jaunty.nd1_all.deb Size: 111240 SHA256: 1a26a18a184e7a085b8f37dd5ec5c47fff8f251f6b5b7b7fe37109789f1b2280 SHA1: 33693f4df637dd981def768d134723ba3a1bc12b MD5sum: 14ab35fe3da5def6c071a5f8302a1af8 Description: VIA library API documentation VIA is a volumetric image analysis suite. The included libraries provide about 70 image analysis functions. . This package provides the library API reference documentation. Package: libvia0 Source: via Version: 1.6.0-2~jaunty.nd1 Architecture: i386 Maintainer: Michael Hanke Installed-Size: 452 Depends: lesstif2, libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.7), libgsl0ldbl (>= 1.9), libice6 (>= 1:1.0.0), libsm6, libx11-6, libxext6, libxmu6, libxt6 Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: libs Filename: pool/main/v/via/libvia0_1.6.0-2~jaunty.nd1_i386.deb Size: 181460 SHA256: df94d959f3190bf96ca598181455c7a03e80ae407f11c7b984dac20a50a0899d SHA1: 1d0b9119a92dd208b2a87d5723779a8adeeba7dc MD5sum: eda4b586a7fc844951f234b33c11d1d9 Description: library for volumetric image analysis VIA is a volumetric image analysis suite. The included libraries provide about 70 image analysis functions. . This package contains the shared libraries of vialib, vxlib and viaio. Package: lipsia Version: 1.6.0-4~jaunty.nd1 Architecture: i386 Maintainer: Michael Hanke Installed-Size: 3616 Depends: libc6 (>= 2.7), libdcmtk1 (>= 3.5.4), libfftw3-3, libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libgsl0ldbl (>= 1.9), libice6 (>= 1:1.0.0), libnifti2, libqt3-mt (>= 3:3.3.8-b), libsm6, libstdc++6 (>= 4.2.1), libvia0, libx11-6, libxext6, zlib1g (>= 1:1.1.4), via-bin Recommends: dcmtk, lipsia-doc Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: science Filename: pool/main/l/lipsia/lipsia_1.6.0-4~jaunty.nd1_i386.deb Size: 1269528 SHA256: 68a8ee29c21e9efb3536693aa465c74f60533d00d44a00df4c233740adea7436 SHA1: 3650ab92be15460643437563ceaad099a06657a4 MD5sum: 6e759a6142ac227094ba6840fc45dfdb Description: analysis suite for MRI and fMRI data Leipzig Image Processing and Statistical Inference Algorithms (LIPSIA) . This is a software package for the data processing and evaluation of functional magnetic resonance images. The analysis of fMRI data comprises various aspects including filtering, spatial transformation, statistical evaluation as well as segmentation and visualization. All these aspects are covered by LIPSIA. For the statistical evaluation, a number of well established and peer-reviewed algorithms were implemented in LIPSIA that allow an efficient and user-friendly processing of fMRI data sets. As the amount of data that must be handled is enormous, an important aspect in the development of LIPSIA was the efficiency of the software implementation. . LIPSIA operates exclusively on data in the VISTA data format. However, the package contains converters for medical image data in iBruker, ANALYZE and NIfTI format -- converting VISTA images into NIfTI files is also supported. Package: lipsia-doc Source: lipsia Version: 1.6.0-4~jaunty.nd1 Architecture: all Maintainer: Michael Hanke Installed-Size: 7004 Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: doc Filename: pool/main/l/lipsia/lipsia-doc_1.6.0-4~jaunty.nd1_all.deb Size: 5539254 SHA256: 0700be9122fe2ce154fffdd522eb5fcf4bf6a0b6e780b0bf933b4bafeae18446 SHA1: 62b121f6603ea0f9ee6756e20d5afa357b5bda49 MD5sum: c910313c177a65666dda4adc5a252116 Description: documentation for LIPSIA Leipzig Image Processing and Statistical Inference Algorithms (LIPSIA) . This package provides the LIPSIA documentation in HTML format. Package: mitools Source: odin Version: 1.8.1-3~jaunty.nd1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 6144 Depends: libblitz0ldbl (>= 0.9), libc6 (>= 2.7), libdcmtk1 (>= 3.5.4), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), libnifti2, liboil0.3 (>= 0.3.10), libpng12-0 (>= 1.2.13-4), libqtcore4 (>= 4.5.0~+rc1), libqtgui4 (>= 4.5.0~+rc1), libqwt5-qt4, libstdc++6 (>= 4.2.1), libvia0, libvtk5, zlib1g (>= 1:1.1.4), dcmtk Recommends: grace Homepage: http://od1n.sourceforge.net Priority: extra Section: science Filename: pool/main/o/odin/mitools_1.8.1-3~jaunty.nd1_i386.deb Size: 2309088 SHA256: c910e4cd37a0773feed3ffc5f539617f25b7b05e71f5c692ae7937edbdca230a SHA1: 96211357e20e679b292ffa5c3bebd39f4f35f53c MD5sum: dc88a1926a0f913c6b6d8aadbc1667d2 Description: view, convert and perform basic maths with medical image datasets The three contained tools micalc, miconv and miview are handy command-line utilities for converting, manipulating and viewing medical image data in various formats (DICOM, NIfTI, PNG, binary data, ...). Package: mrtrix Version: 0.2.8-1~jaunty.nd1 Architecture: i386 Maintainer: Michael Hanke Installed-Size: 6328 Depends: libatk1.0-0 (>= 1.20.0), libc6 (>= 2.4), libcairo2 (>= 1.2.4), libcairomm-1.0-1 (>= 1.6.4), libfontconfig1 (>= 2.4.0), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.12.0), libglibmm-2.4-1c2a (>= 2.19.3), libglu1-mesa | libglu1, libgsl0ldbl (>= 1.9), libgtk2.0-0 (>= 2.16.0), libgtkglext1, libgtkmm-2.4-1c2a (>= 1:2.16.0), libice6 (>= 1:1.0.0), libpango1.0-0 (>= 1.14.0), libpangomm-1.4-1 (>= 2.24.0), libsigc++-2.0-0c2a (>= 2.0.2), libsm6, libstdc++6 (>= 4.3), libx11-6, libxmu6, libxt6 Suggests: mrtrix-doc Homepage: http://www.brain.org.au/software/mrtrix Priority: extra Section: science Filename: pool/main/m/mrtrix/mrtrix_0.2.8-1~jaunty.nd1_i386.deb Size: 2118812 SHA256: ef60fb88f28c04ae840ce756960feac4bd37ab1387be51122606609d609470ff SHA1: 9fa612e155c74153419fc24f5cb2acb1dda826f1 MD5sum: 06c4b87a272861bb5b7d52844076130d Description: diffusion-weighted MRI white matter tractography Set of tools to perform diffusion-weighted MRI white matter tractography of the brain in the presence of crossing fibres, using Constrained Spherical Deconvolution, and a probabilisitic streamlines algorithm. Magenetic resonance images in DICOM or ANALYZE format are supported. Package: mrtrix-doc Source: mrtrix Version: 0.2.8-1~jaunty.nd1 Architecture: all Maintainer: Michael Hanke Installed-Size: 3416 Homepage: http://www.brain.org.au/software/mrtrix Priority: extra Section: doc Filename: pool/main/m/mrtrix/mrtrix-doc_0.2.8-1~jaunty.nd1_all.deb Size: 2949214 SHA256: 14cb3fc3bdc986700c963385459552a3b806163a91aa8717cfa303e9ca1ef1ea SHA1: 0c0d6390dcbc8e33bc9c862a44872f7ed07a9b1c MD5sum: babace880fc632b6595ae684ba46c953 Description: documentation for mrtrix Set of tools to perform diffusion-weighted MRI white matter tractography of the brain in the presence of crossing fibres, using Constrained Spherical Deconvolution, and a probabilisitic streamlines algorithm. Magenetic resonance images in DICOM or ANALYZE format are supported. . This package provides the documentation in HTML format. Package: nifti-bin Source: nifticlib Version: 2.0.0-1~jaunty.nd1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 200 Depends: libc6 (>= 2.4), libnifti2 Homepage: http://niftilib.sourceforge.net Priority: optional Section: utils Filename: pool/main/n/nifticlib/nifti-bin_2.0.0-1~jaunty.nd1_i386.deb Size: 59810 SHA256: b8f3b0d9f2401bfff55c254f816e81a006227439277fdf42e064f1e6f111edc2 SHA1: a2761adc3d1ae499b4dcfeb8af414ba21a562147 MD5sum: fe4c179ce00b6e96129b1163fda5b7f6 Description: tools shipped with the NIfTI library Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package provides the tools that are shipped with the library (nifti_tool, nifti_stats and nifti1_test). Package: octave-biosig Source: biosig4c++ Version: 0.94.2+svn2552-1~pre1~nd09.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1448 Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.4), libfftw3-3, libgcc1 (>= 1:4.1.1), libgfortran3 (>= 4.3), libhdf5-serial-1.8.3 | libhdf5-1.8.3, liblapack3gf | liblapack.so.3gf | libatlas3gf-base, libncurses5 (>= 5.6+20071006-3), libreadline5 (>= 5.2), libstdc++6 (>= 4.2.1), libsuitesparse-3.2.0 (>= 1:3.2.0), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: science Filename: pool/main/b/biosig4c++/octave-biosig_0.94.2+svn2552-1~pre1~nd09.04+1_i386.deb Size: 564740 SHA256: a72abad02b83b74a089cf9e3b40c9f9f9a91277d7e81c58652407da5969e6d76 SHA1: a99478cb01ed9f11a189ff651ae4b2f34da55dd0 MD5sum: b14138a7a762c96b9ee2f426da30422d Description: Octave bindings for BioSig library This package provides Octave bindings for BioSig library. Primary goal -- I/O interface to variety of biomedical file formats, including but not limited to SCP-ECG(EN1064), HL7aECG (FDA-XML), GDF, EDF. Package: odin Version: 1.8.1-3~jaunty.nd1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 3988 Depends: libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libqtcore4 (>= 4.5.0~+rc1), libqtgui4 (>= 4.5.0~+rc1), libstdc++6 (>= 4.2.1), libvtk5, mitools (= 1.8.1-3~jaunty.nd1), libodin-dev, libgsl0-dev, libc6-dev | libc-dev, g++, libblas-dev | libatlas-base-dev, xterm | x-terminal-emulator, gdb Recommends: liboil0.3-dev | liboil-dev, libdcmtk1-dev Homepage: http://od1n.sourceforge.net Priority: extra Section: science Filename: pool/main/o/odin/odin_1.8.1-3~jaunty.nd1_i386.deb Size: 1524374 SHA256: e9ac085727ad510de5d71e6a9bc83c6793cefbb981f1f59fe6122a39f3407183 SHA1: 5a35b792aad7705d12ef234a52fc6045c1002177 MD5sum: 661b7d58fed73486731de94e02a44df7 Description: develop, simulate and run magnetic resonance sequences ODIN is a framework for magnetic resonance imaging (MRI). It covers the whole toolchain of MRI, from low-level data acquisition to image reconstruction. In particular, it aims at rapid prototyping of MRI sequences. The sequences can be programmed using a high-level, object oriented, C++ programming interface. It provides advanced sequence analysis tools, such as interactive plotting of k-space trajectories, a user interface for a fast compile-link-test cycle and a powerful MRI simulator which supports different virtual samples. For fast and flexible image reconstruction, ODIN contains a highly customizable, multi-threaded data-processing framework. Package: openelectrophy Version: 0.0.svn143-1~jaunty.nd1 Architecture: all Maintainer: Experimental Psychology Maintainers Installed-Size: 92 Depends: python, python-pyssdh (= 0.0.svn143-1~jaunty.nd1) Homepage: http://neuralensemble.org/trac/OpenElectrophy Priority: extra Section: science Filename: pool/main/o/openelectrophy/openelectrophy_0.0.svn143-1~jaunty.nd1_all.deb Size: 34362 SHA256: f139639a48e4b3869e0a4cce7c9702e72add20868feb5c8e55e820a8dc5579f2 SHA1: e1ae17907b8c588294e4e14006b933394d450a1f MD5sum: aa68fd3a84a824750de61a1d2054ab63 Description: data analysis framework for intra- and extra-cellular recordings This software aims to simplify data and analysis sharing for intra- and extra-cellular recordings. It supports time frequency plots, spike detection, spike rate calculation, and analysis of phase locked signals. . Data handling and storage utilizes a MySQL database, allowing to handle large amounts of data easily and efficiently. Therefore, a MySQL server running locally or on a remote machine is required. . This package provides the OpenElectrophy GUI. Package: psychopy Version: 1.62.02.dfsg-1~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3100 Depends: python (>= 2.4), python-support (>= 0.7.1), python-pyglet | python-pygame, python-opengl, python-numpy, python-matplotlib, python-lxml, python-configobj Recommends: python-wxgtk2.8, python-pyglet, python-pygame, python-openpyxl, python-imaging, python-serial, python-scipy, libavbin0 Suggests: python-iolabs, python-pyepl Homepage: http://www.psychopy.org Priority: optional Section: science Filename: pool/main/p/psychopy/psychopy_1.62.02.dfsg-1~nd09.04+1_all.deb Size: 1396892 SHA256: 943f826c7a99c7e733e2c54e3e06ccb9b5263bb477b9a212342ccb16ceda6177 SHA1: b2370946e5c2ead805829e7a52e07250b0963b21 MD5sum: 0fe45f3c5011c3ed97b90e32c3f533bf Description: environment for creating psychology stimuli in Python PsychoPy provides an environment for creating psychology stimuli using Python scripting language. It combines the graphical strengths of OpenGL with easy Python syntax to give psychophysics a free and simple stimulus presentation and control package. . The goal is to provide, for the busy scientist, tools to control timing and windowing and a simple set of pre-packaged stimuli and methods. PsychoPy features - High-level powerful scripting language (Python) - Simple syntax - Use of hardware-accelerated graphics (OpenGL) - Integration with Spectrascan PR650 for easy monitor calibration - Simple routines for staircase and constant stimuli experimental methods as well as curve-fitting and bootstrapping - Simple (or complex) GUIs via wxPython - Easy interfaces to joysticks, mice, sound cards etc. via PyGame - Video playback (MPG, DivX, AVI, QuickTime, etc.) as stimuli Python-Version: 2.5, 2.6 Package: python-biosig Source: biosig4c++ Version: 0.94.2+svn2552-1~pre1~nd09.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 920 Depends: libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.2.1), libsuitesparse-3.2.0 (>= 1:3.2.0), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: python Filename: pool/main/b/biosig4c++/python-biosig_0.94.2+svn2552-1~pre1~nd09.04+1_i386.deb Size: 325560 SHA256: b74b6bd61653b181f7f05f035d4977bcc1326c64b8f7b359c0b4bd1c2e188bb5 SHA1: 95690f397f24a23cdf6247f143d132d7cea7e76b MD5sum: 11f219b10f9b92558469d8f13427f46c Description: Python bindings for BioSig library This package provides Python bindings for BioSig library. Primary goal -- I/O interface to variety of biomedical file formats, including but not limited to SCP-ECG(EN1064), HL7aECG (FDA-XML), GDF, EDF. Package: python-epydoc Source: epydoc Version: 3.0.1-4~jaunty.nd1 Architecture: all Maintainer: Kenneth J. Pronovici Installed-Size: 1216 Depends: python (>= 2.1), python-support (>= 0.7.1) Recommends: gs-common, python-tk, python-docutils, texlive-latex-base, texlive-latex-extra, texlive-latex-recommended, texlive-fonts-recommended, graphviz Suggests: epydoc-doc, python-profiler Conflicts: python2.1-epydoc (<< 2.0-2), python2.2-epydoc (<< 2.0-2), python2.3-epydoc (<< 2.0-2) Replaces: python2.1-epydoc (<< 2.0-2), python2.2-epydoc (<< 2.0-2), python2.3-epydoc (<< 2.0-2) Priority: optional Section: python Filename: pool/main/e/epydoc/python-epydoc_3.0.1-4~jaunty.nd1_all.deb Size: 267040 SHA256: 312c145664c8ea0b5eafa44d4aaf36d5021e42364a964f7e7dfa20c1f2db6e24 SHA1: 4fb3cb310f396da52a093b5bf7a073e3d7739e6d MD5sum: dc764475a92057f38ff67326bc3edbb7 Description: tool for generating Python API documentation Epydoc is a tool for generating API documentation for Python modules based on their docstrings. A lightweight markup language called epytext can be used to format docstrings and to add information about specific fields, such as parameters and instance variables. Epydoc also understands docstrings written in ReStructuredText, Javadoc, and plaintext. . This package contains the epydoc and epydocgui commands, their manpages, and their associated Python modules. Package: python-mdp Source: mdp Version: 2.6-1~jaunty.nd1 Architecture: all Maintainer: Yaroslav Halchenko Installed-Size: 1552 Depends: python (>= 2.4), python-support (>= 0.7.1), python-numpy Recommends: python-scipy, python-shogun-modular, python-libsvm Suggests: python-pp Enhances: python-mvpa Homepage: http://mdp-toolkit.sourceforge.net/ Priority: optional Section: python Filename: pool/main/m/mdp/python-mdp_2.6-1~jaunty.nd1_all.deb Size: 293698 SHA256: 4253276e7511b10a169bac8eced5986bc384ddcc66c83f53aa67597dc0ea4254 SHA1: 1ad76a08974ef499122c0a6df035f5bf87e7474b MD5sum: 1a4be6a51ffc50abfd67f5abb91da80c Description: Modular toolkit for Data Processing Python data processing framework. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Independent Slow Feature Analysis (ISFA), Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA), and Gaussian Classifiers. Package: python-mvpa Source: pymvpa Version: 0.4.5-1~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4132 Depends: python (>= 2.5), python-support (>= 0.7.1), python-numpy, python-mvpa-lib (>= 0.4.5-1~nd09.04+1) Recommends: python-nifti, python-psyco, python-mdp, python-scipy, shogun-python-modular, python-pywt, python-matplotlib, python-reportlab Suggests: fslview, fsl, python-nose, python-lxml, python-openopt, python-rpy, python-mvpa-doc Provides: python2.5-mvpa, python2.6-mvpa Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa/python-mvpa_0.4.5-1~nd09.04+1_all.deb Size: 2155218 SHA256: e45fe6c1c238b943906455965fbe2a190930e72139c2f70de240fae299a6ed27 SHA1: 85a9eb8dba726f5dafb469a33a2b9ffe5e1f1694 MD5sum: 2cc3f827caf2d5d4d58f82eb9baa74c2 Description: multivariate pattern analysis with Python Python module to ease pattern classification analyses of large datasets. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, GNB, Ridge Regressions, Sparse Multinomial Logistic Regression), and bindings to external machine learning libraries (libsvm, shogun). . While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it is eminently suited for such datasets. Python-Version: 2.5, 2.6 Package: python-mvpa-doc Source: pymvpa Version: 0.4.5-1~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 40984 Depends: libjs-jquery Suggests: python-mvpa Homepage: http://www.pymvpa.org Priority: optional Section: doc Filename: pool/main/p/pymvpa/python-mvpa-doc_0.4.5-1~nd09.04+1_all.deb Size: 9058390 SHA256: b3cdaf67859d3ed75c61686f5b426cbc4f63376c3b3ffb5486f15772ea0d619a SHA1: 20b73a76d761be7fb89daa86984d19f505a102a8 MD5sum: 3e52b8fecf85a71911120367b8876c64 Description: documentation and examples for PyMVPA PyMVPA documentation in various formats (HTML, TXT) including * User manual * Developer guidelines * API documentation * BibTeX references file . Additionally, all example scripts shipped with the PyMVPA sources are included. Package: python-mvpa-lib Source: pymvpa Version: 0.4.5-1~nd09.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 288 Depends: libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libsvm2, python (<< 2.7), python (>= 2.5), python-support (>= 0.7.1), python-numpy Provides: python2.5-mvpa-lib, python2.6-mvpa-lib Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa/python-mvpa-lib_0.4.5-1~nd09.04+1_i386.deb Size: 59066 SHA256: ac4c6655df099015d1035bfa083b604ecd866df0f4521691c3e6691e713a5011 SHA1: 537f033517aaddffe5f350830ec1244a2a2fe5c6 MD5sum: 1b5ab47a399fc104b39b018ccb11de64 Description: low-level implementations and bindings for PyMVPA This is an add-on package for the PyMVPA framework. It provides a low-level implementation of an SMLR classifier and custom Python bindings for the LIBSVM library. Python-Version: 2.5, 2.6 Package: python-mvpa-snapshot Source: pymvpa-snapshot Version: 0.5.0.dev+783+gde39-1~jaunty.nd1 Architecture: all Maintainer: Experimental Psychology Maintainers Installed-Size: 4412 Depends: python (>= 2.4), python-support (>= 0.7.1), python-numpy, python-mvpa-snapshot-lib (>= 0.5.0.dev+783+gde39-1~jaunty.nd1) Recommends: python-nifti, python-psyco, python-mdp, python-scipy, shogun-python-modular, python-pywt, python-matplotlib, python-reportlab Suggests: fslview, fsl, python-nose, python-lxml, python-scikits-openopt, python-rpy, python-mvpa-doc Conflicts: python-mvpa Provides: python2.5-mvpa-snapshot, python2.6-mvpa-snapshot Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa-snapshot/python-mvpa-snapshot_0.5.0.dev+783+gde39-1~jaunty.nd1_all.deb Size: 2213864 SHA256: ab572a75c8ba28690085ed3d5e3dc8026dfe8614bff6388b8a48c1e989db7fe1 SHA1: bed3e65433ed3d22b3f5971e882cc1de8629ebd1 MD5sum: 5977bd7637be1fff8256f47170b98663 Description: multivariate pattern analysis with Python Python module to ease pattern classification analyses of large datasets. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, Ridge Regressions, Sparse Multinomial Logistic Regression), and bindings to external machine learning libraries (libsvm, shogun). . While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it is eminently suited for such datasets. . This is a package of a development snaphot. The latest released version is provided by the python-mvpa package. Python-Version: 2.5, 2.6 Package: python-mvpa-snapshot-lib Source: pymvpa-snapshot Version: 0.5.0.dev+783+gde39-1~jaunty.nd1 Architecture: i386 Maintainer: Experimental Psychology Maintainers Installed-Size: 284 Depends: libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libsvm2, python (<< 2.7), python (>= 2.5), python-support (>= 0.7.1), python-numpy Conflicts: python-mvpa-lib Provides: python2.5-mvpa-snapshot-lib, python2.6-mvpa-snapshot-lib Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa-snapshot/python-mvpa-snapshot-lib_0.5.0.dev+783+gde39-1~jaunty.nd1_i386.deb Size: 57294 SHA256: 729ed8d3783664502697fa4147e47bcf0d14f8098dba13441bbfbafbb89574ee SHA1: c0248ee3e169950d4c3060da0ff1ff3de0cb12b4 MD5sum: 49e1153c2b4388c8bc3264a6ca7ab219 Description: low-level implementations and bindings for PyMVPA This is an add-on package for the PyMVPA framework. It provides a low-level implementation of an SMLR classifier and custom Python bindings for the LIBSVM library. . This is a package of a development snaphot. The latest released version is provided by the python-mvpa-lib package. Python-Version: 2.5, 2.6 Package: python-nibabel-snapshot Source: nibabel-snapshot Version: 1.0.0.dev+137+gf1c6-1~jaunty.nd1 Architecture: all Maintainer: Michael Hanke Installed-Size: 964 Depends: python (>= 2.5), python-support (>= 0.7.1), python-numpy, libjs-jquery, python-scipy Conflicts: python-nibabel Provides: python2.5-nibabel-snapshot, python2.6-nibabel-snapshot Homepage: http://nipy.sourceforge.net/nibabel Priority: optional Section: python Filename: pool/main/n/nibabel-snapshot/python-nibabel-snapshot_1.0.0.dev+137+gf1c6-1~jaunty.nd1_all.deb Size: 469574 SHA256: 91b53f7f46a11ee9f9da44a1b89d71902a53641460942446e59daa91ac31b600 SHA1: 5b6bd58796032e49d147acccfc8e9eff505ee5ae MD5sum: 4d1ac72049f79c9939e37fc8016de5a0 Description: Python bindings to various neuroimaging data formats Currently supported formats are: . * ANALYZE (including SPM2 and SPM99 variants) * MINC * NIfTI * PAR/REC . This package also provides a commandline tool for conversion of PAR/REC to NIfTI images. Python-Version: 2.5, 2.6 Package: python-nifti Source: pynifti Version: 0.20100607.1-2~jaunty.nd1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 1396 Depends: libc6 (>= 2.4), libnifti2, python (<< 2.7), python (>= 2.5), python-support (>= 0.7.1), python-numpy, libjs-jquery Provides: python2.5-nifti, python2.6-nifti Homepage: http://niftilib.sourceforge.net/pynifti/ Priority: optional Section: python Filename: pool/main/p/pynifti/python-nifti_0.20100607.1-2~jaunty.nd1_i386.deb Size: 337528 SHA256: fd287dfbc158b14c2dfc8066d684019d22813ce0cd1cf5230bc1dfdf0e294cbf SHA1: 7b7ead2b96745bb1eea48969c5666029ecd3c75a MD5sum: 181e20e2cc75405901e41141b35238cf Description: Python interface to the NIfTI I/O libraries Using PyNIfTI one can easily read and write NIfTI and ANALYZE images from within Python. The NiftiImage class provides Python-style access to the full header information. Image data is made available via NumPy arrays. Python-Version: 2.5, 2.6 Package: python-openopt Source: openopt Version: 0.25+svn291-1~jaunty.nd1 Architecture: all Maintainer: Yaroslav Halchenko Installed-Size: 1188 Depends: python (>= 2.5), python-central (>= 0.6.11), python-numpy Recommends: python-scipy, python-cvxopt, python-matplotlib, python-glpk Suggests: lp-solve Conflicts: python-scikits-openopt Replaces: python-scikits-openopt Provides: python2.5-openopt, python2.6-openopt Homepage: http://www.openopt.org Priority: extra Section: python Filename: pool/main/o/openopt/python-openopt_0.25+svn291-1~jaunty.nd1_all.deb Size: 152194 SHA256: f747888452b3627cf90795de4180fd0dd610d272033b061c7f0e67417485b1e4 SHA1: b27e83509b884400fdae35d648e28885cab4cb90 MD5sum: ccd9b7ed8a4a39e6a0fdd3ab7f009d35 Description: Python module for numerical optimization Numerical optimization framework developed in Python which provides connections to lots of solvers with easy and unified OpenOpt syntax. Problems which can be tackled with OpenOpt * Linear Problem (LP) * Mixed-Integer Linear Problem (MILP) * Quadratic Problem (QP) * Non-Linear Problem (NLP) * Non-Smooth Problem (NSP) * Non-Linear Solve Problem (NLSP) * Least Squares Problem (LSP) * Linear Least Squares Problem (LLSP) * Mini-Max Problem (MMP) * Global Problem (GLP) . A variety of solvers is available (e.g. IPOPT, ALGENCAN). Python-Version: >= 2.5 Package: python-openpyxl Source: openpyxl Version: 1.1.0-1~jaunty.nd1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 444 Depends: python-support (>= 0.7.1) Recommends: python-nose Homepage: http://bitbucket.org/ericgazoni/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python-openpyxl_1.1.0-1~jaunty.nd1_all.deb Size: 48916 SHA256: 3778c0dac0cbea2305e9432a0921900454176a140e76cc204119f7986a157407 SHA1: f3ca356f11f055391389d22ecf51c70b52eb7ae4 MD5sum: f89b9ea2138dd7878f225bc78525649b Description: module to read/write OpenXML xlsx/xlsm files Openpyxl is a pure Python module to read/write Excel 2007 (OpenXML) xlsx/xlsm files. Package: python-pyepl Source: pyepl Version: 1.1.0-3~jaunty.nd1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 2216 Depends: python (<< 2.7), python (>= 2.5), python-central (>= 0.6.11), python-pyepl-common (= 1.1.0-3~jaunty.nd1), python-numpy, python-imaging, python-pygame, python-pyode, python-opengl, ttf-dejavu, libasound2 (>> 1.0.18), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libode0debian1 (>= 1:0.8.dfsg-3), libsamplerate0, libsndfile1, libstdc++6 (>= 4.2.1) Conflicts: python2.3-pyepl, python2.4-pyepl Replaces: python2.3-pyepl, python2.4-pyepl Provides: python2.5-pyepl, python2.6-pyepl Homepage: http://pyepl.sourceforge.net/ Priority: optional Section: python Filename: pool/main/p/pyepl/python-pyepl_1.1.0-3~jaunty.nd1_i386.deb Size: 533164 SHA256: 2a01b7f98df822b91b601672fd27c5fb70801003e6475f7a38caaee342ac123e SHA1: 934f9ecce1f2ba6c1abdc9472888e46044753ffd MD5sum: 79891147b55d7a8b300dc740dcfb4f11 Description: module for coding psychology experiments in Python PyEPL is a stimuli delivery and response registration toolkit to be used for generating psychology (as well as neuroscience, marketing research, and other) experiments. . It provides - presentation: both visual and auditory stimuli - responses registration: both manual (keyboard/joystick) and sound (microphone) time-stamped - sync-pulsing: synchronizing your behavioral task with external acquisition hardware - flexibility of encoding various experiments due to the use of Python as a description language - fast execution of critical points due to the calls to linked compiled libraries . This toolbox is here to be an alternative for a widely used commercial product E'(E-Prime) . This package provides PyEPL for supported versions of Python. Python-Version: 2.5, 2.6 Package: python-pyepl-common Source: pyepl Version: 1.1.0-3~jaunty.nd1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 852 Depends: python Homepage: http://pyepl.sourceforge.net/ Priority: optional Section: python Filename: pool/main/p/pyepl/python-pyepl-common_1.1.0-3~jaunty.nd1_all.deb Size: 817822 SHA256: 132b135adc1a1e1d8abd118f7a5d9f2b59c703f3fe56c544d664236aebe8bc81 SHA1: f518107230bc900c570e683bc03179fca267f2aa MD5sum: b92c01800be9d13a93810e6460192b44 Description: module for coding psychology experiments in Python PyEPL is a stimuli delivery and response registration toolkit to be used for generating psychology (as well as neuroscience, marketing research, and other) experiments. . It provides - presentation: both visual and auditory stimuli - responses registration: both manual (keyboard/joystick) and sound (microphone) time-stamped - sync-pulsing: synchronizing your behavioral task with external acquisition hardware - flexibility of encoding various experiments due to the use of Python as a description language - fast execution of critical points due to the calls to linked compiled libraries . This toolbox is here to be an alternative for a widely used commercial product E'(E-Prime) . This package provides common files such as images. Package: python-pyoptical Source: pyoptical Version: 0.2-1~jaunty.nd1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 68 Depends: python-serial Enhances: psychopy, python-pyepl Homepage: http://github.com/esc/pyoptical Priority: extra Section: python Filename: pool/main/p/pyoptical/python-pyoptical_0.2-1~jaunty.nd1_all.deb Size: 6868 SHA256: 6637f87f248bf59d0a4694972e6e3e8cec579032399996f73214775582dfa107 SHA1: 3fdc9de81dc3565a96e4967227584dc073af1d50 MD5sum: 02252899ecb2028dfa71657a2d8cc3cb Description: python interface to the CRS 'OptiCAL' photometer The 'OptiCAL' is a photometer that is produced by Cambridge Research Systems (CRS). This device is a standard tool for gamma-calibration of display devices in vision research. This package provides a free-software replacement for the Windows-software distributed by the manufacturer that allows querying an OptiCAL via a serial connection. pyoptical can be used as a library for third-party applications or as a standalone command line tool. Python-Version: 2.5, 2.6 Package: python-pyssdh Source: openelectrophy Version: 0.0.svn143-1~jaunty.nd1 Architecture: all Maintainer: Experimental Psychology Maintainers Installed-Size: 784 Depends: python-support (>= 0.7.1), python-numpy, python-scipy, python-qt4, python-mysqldb, python-matplotlib Recommends: g++ | c++-compiler, python-mdp Suggests: mysql-server Provides: python2.5-pyssdh, python2.6-pyssdh Homepage: http://neuralensemble.org/trac/OpenElectrophy Priority: extra Section: python Filename: pool/main/o/openelectrophy/python-pyssdh_0.0.svn143-1~jaunty.nd1_all.deb Size: 119340 SHA256: eab3eb4322879f87e42e9e8c456003c3d96bcf98e481f4529dd1c9ca0f3972c6 SHA1: 5f0c5bd7a8fd3dcd4cb4c30d5cfa084476c14d68 MD5sum: fc7e29565fca1ccbe82bdfa54ef25c78 Description: data analysis framework for intra- and extra-cellular recordings This software aims to simplify data and analysis sharing for intra- and extra-cellular recordings. It supports time frequency plots, spike detection, spike rate calculation, and analysis of phase locked signals. . Data handling and storage utilizes a MySQL database, allowing to handle large amounts of data easily and efficiently. Therefore, a MySQL server running locally or on a remote machine is required. . This package provides the OpenElectrophy Python module. Python-Version: 2.5, 2.6 Package: python-scikits-learn Source: scikit-learn Version: 0.3-1~jaunty.nd1 Architecture: all Maintainer: Experimental Psychology Maintainers Installed-Size: 1736 Depends: python (<< 2.7), python (>= 2.5), python-support (>= 0.7.1), python-numpy, python-scipy, python-scikits-learn-lib (>= 0.3-1~jaunty.nd1) Recommends: python-nose, python-psyco, python-matplotlib Suggests: python-dap, python-scikits-optimization, python-scikits-learn-doc Provides: python2.5-scikits-learn, python2.6-scikits-learn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-scikits-learn_0.3-1~jaunty.nd1_all.deb Size: 454998 SHA256: 8302fedfc307cf29f8dac7642680d3617cc33f148a9f4c894eb8efc2880bfc3a SHA1: 4c123811c6a749b91f795701178f89a7dc8f43c0 MD5sum: 56e7acd006a11aec24f89cae226ea619 Description: Python modules for machine learning and data mining 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) Python-Version: 2.5, 2.6 Package: python-scikits-learn-doc Source: scikit-learn Version: 0.3-1~jaunty.nd1 Architecture: all Maintainer: Experimental Psychology Maintainers Installed-Size: 1608 Depends: libjs-jquery Suggests: python-scikits-learn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: doc Filename: pool/main/s/scikit-learn/python-scikits-learn-doc_0.3-1~jaunty.nd1_all.deb Size: 599906 SHA256: b05410c464b7d83765fc87f2b3f9409d934307740d909c83d46310922dc53487 SHA1: b14ba19766b3a96bc9e19cee47f37552eab65c7f MD5sum: 4ae7c9e58cd4d396b482e8b7b516cbd0 Description: documentation and examples for scikit-learn This package contains documentation and example scripts for python-scikit-learn. Package: python-scikits-learn-lib Source: scikit-learn Version: 0.3-1~jaunty.nd1 Architecture: i386 Maintainer: Experimental Psychology Maintainers Installed-Size: 1200 Depends: libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.2.1), libsvm2, python (<< 2.7), python (>= 2.5), python-support (>= 0.7.1), python-numpy Provides: python2.5-scikits-learn-lib, python2.6-scikits-learn-lib Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-scikits-learn-lib_0.3-1~jaunty.nd1_i386.deb Size: 376390 SHA256: 406d6f9c6078337a72f497a02de2243d8fde4382fb7b88317aeb1215c87180cd SHA1: 1e12e0044b33abb3455963611830a8c00cc1d576 MD5sum: f203b8ce4a12798f84c4042adebaf614 Description: low-level implementations and bindings for scikit-learn This is an add-on package for python-scikit-learn. It provides low-level implementations and custom Python bindings for the LIBSVM library. Python-Version: 2.5, 2.6 Package: python-scikits-statsmodels Source: statsmodels Version: 0.2.0+bzr1990-1~jaunty.nd1 Architecture: all Maintainer: Experimental Psychology Maintainers Installed-Size: 9648 Depends: python (<< 2.7), python (>= 2.5), python-support (>= 0.7.1), python-numpy, python-scipy Recommends: python-matplotlib, python-nose, python-rpy Provides: python2.5-scikits-statsmodels, python2.6-scikits-statsmodels Homepage: http://statsmodels.sourceforge.net/ Priority: optional Section: python Filename: pool/main/s/statsmodels/python-scikits-statsmodels_0.2.0+bzr1990-1~jaunty.nd1_all.deb Size: 1877782 SHA256: 74b94cab15b557a60f6b9aed6d194d258f3280207dfe35bd02caa8555d222478 SHA1: 8addbcda5caa6033c7ec389985d32950b5b417c4 MD5sum: 20dccf17cebeb5ffdb909a86e77b4d68 Description: classes and functions for the estimation of statistical models scikits.statsmodels is a pure Python package that provides classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are avalable for each estimation problem. Python-Version: 2.5, 2.6 Package: python-scikits-statsmodels-doc Source: statsmodels Version: 0.2.0+bzr1990-1~jaunty.nd1 Architecture: all Maintainer: Experimental Psychology Maintainers Installed-Size: 668 Depends: libjs-jquery Suggests: python-scikits-statsmodels Homepage: http://statsmodels.sourceforge.net/ Priority: optional Section: doc Filename: pool/main/s/statsmodels/python-scikits-statsmodels-doc_0.2.0+bzr1990-1~jaunty.nd1_all.deb Size: 217468 SHA256: 4e5a56cb0359b474a405da219b53aef035c437a39c6051eaf43cdfb2a6588aa8 SHA1: c7b4b571b4f72dbc598a608a508f2299214c3095 MD5sum: 0369b9c3108d6005361e616a070943dd Description: documentation and examples for python-scikits-statsmodels This package contains HTML documentation and example scripts for python-scikits-statsmodels. Package: python-sphinx Source: sphinx Version: 1.0.1-1~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4576 Depends: python (>= 2.4), python-support (>= 0.7.1), python-docutils (>= 0.5), python-pygments (>= 0.8), python-jinja2 (>= 2.2), libjs-jquery Recommends: python (>= 2.6) | python-simplejson, python-imaging Suggests: jsmath Homepage: http://sphinx.pocoo.org/ Priority: optional Section: python Filename: pool/main/s/sphinx/python-sphinx_1.0.1-1~nd09.04+1_all.deb Size: 1233066 SHA256: 1bab07bfeb1dbace004870b27a0ea246687b55306b01c074ac2d7e32833b9c53 SHA1: f9f527ab108b516b3a07ee55e9e57c073655a066 MD5sum: 5c148a723f0f56b83ea3c946e52b1ee9 Description: tool for producing documentation for Python projects Sphinx is a tool for producing documentation for Python projects, using reStructuredText as markup language. . Sphinx features: * HTML, CHM, LaTeX output, * Cross-referencing source code, * Automatic indices, * Code highlighting, using Pygments, * Extensibility. Existing extensions: - automatic testing of code snippets, - including doctrings from Python modules. Package: qlandkarte Source: qlandkartegt Version: 0.16.0-1~jaunty.nd1 Architecture: all Maintainer: Michael Hanke Installed-Size: 32 Depends: qlandkartegt Homepage: http://www.qlandkarte.org Priority: optional Section: x11 Filename: pool/main/q/qlandkartegt/qlandkarte_0.16.0-1~jaunty.nd1_all.deb Size: 2598 SHA256: 7cecc24e7b0125b73a2b7f72f75deb8f8a14e53813ccda96ac83728bba21d384 SHA1: 6cdb92ebbc58e5bfd079f4e447c7c4d44d5e0887 MD5sum: 937e6563564ae2d2f5a916ac1e0dfa47 Description: Transitional package for QLandkarteGT This is a transitional package for the QLandkarte to QLandkarteGT upgrade, and can be safely removed after the installation is complete. Package: qlandkartegt Version: 0.16.0-1~jaunty.nd1 Architecture: i386 Maintainer: Michael Hanke Installed-Size: 5024 Depends: libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libgdal1-1.5.0, libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libice6 (>= 1:1.0.0), libqt4-network (>= 4.5.0~+rc1), libqt4-opengl (>= 4.5.0~+rc1), libqt4-sql (>= 4.5.0~+rc1), libqt4-xml (>= 4.5.0~+rc1), libqtcore4 (>= 4.5.0~+rc1), libqtgui4 (>= 4.5.0~+rc1), libsm6, libstdc++6 (>= 4.1.1), libx11-6, libxext6, proj Recommends: gdal-bin, qlandkartegt-garmin Replaces: qlandkarte Provides: qlandkarte Homepage: http://www.qlandkarte.org Priority: optional Section: x11 Filename: pool/main/q/qlandkartegt/qlandkartegt_0.16.0-1~jaunty.nd1_i386.deb Size: 2758902 SHA256: cf093cab8c9a9e0b77efa6067dc35b6501b1d9c285d8e0cbeafe7b81040cf629 SHA1: d7681116ed640b4fc00ca2feb996b6ad8be907a0 MD5sum: efc77c36720abf8e4118640fdcafc2ba Description: GPS mapping (GeoTiff and vector) and GPSr management This package provides a versatile tool for GPS maps in GeoTiff format as well as Garmin's img vector map format. QLandkarteGT is the successor of QLandkarte. Among various improvements (e.g. 2D/3D map rendering and reduced resource demands) the major difference is its device-independent architecture, which is not limited to Garmin devices anymore. Therefore, the package also does not include device drivers. Drivers for a number of Garmin devices are available from the qlandkartegt-garmin package. . Additionally, QLandkarteGT serves as a frontend to the GDAL tools, to make georeferencing of scanned maps feasible for users. In contrast to similar tools (e.g. QGis) its straightforward interface is especially suited for non-scientific users. Package: qlandkartegt-garmin Source: garmindev Version: 0.3.0-1~jaunty.nd1 Architecture: i386 Maintainer: Michael Hanke Installed-Size: 528 Depends: libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.2.1), libusb-0.1-4 (>= 2:0.1.12) Homepage: http://www.qlandkarte.org Priority: optional Section: utils Filename: pool/main/g/garmindev/qlandkartegt-garmin_0.3.0-1~jaunty.nd1_i386.deb Size: 176688 SHA256: 7c3eeaabaec0b26d5c4f7a7397ee52fc460a458922de904f2d0946edc077ff61 SHA1: 95c2b2994ac596e57c27c3843f1be35e8524dbe3 MD5sum: 4685be6a801ab664a2eed860c2836abe Description: QLandkarteGT plugins to access Garmin devices A collection of plugins for QLandkarteGT to talk to various Garmin GPS devices, including GPSMap60CSx, GPSMap76, eTrexH, eTrexLegend and similar GPSr. Package: svgtune Version: 0.1.0-1~jaunty.nd1 Architecture: all Maintainer: Yaroslav Halchenko Installed-Size: 64 Depends: python, python-lxml Suggests: inkscape Homepage: http://github.com/yarikoptic/svgtune Priority: optional Section: graphics Filename: pool/main/s/svgtune/svgtune_0.1.0-1~jaunty.nd1_all.deb Size: 6754 SHA256: b57d1e7ff1cec86f0e751903bb020a0d027ec037ae5e98f615e0622d713ad69e SHA1: bc9d0fef094cad94e2d5c0fbfdbd5b440ea46a78 MD5sum: 5f654a6ee6bbf068ba9f1d03f2eadf3f Description: tool to generate a set of .svg files out of a single .svg file svgtune is just 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). Package: via-bin Source: via Version: 1.6.0-2~jaunty.nd1 Architecture: i386 Maintainer: Michael Hanke Installed-Size: 900 Depends: lesstif2, libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.4), libgsl0ldbl (>= 1.9), libice6 (>= 1:1.0.0), libpng12-0 (>= 1.2.13-4), libsm6, libvia0, libx11-6, libxext6, libxmu6, libxt6 Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: libs Filename: pool/main/v/via/via-bin_1.6.0-2~jaunty.nd1_i386.deb Size: 170134 SHA256: 374a47eb126ebaee1ca37594237e16766e994dbe62f17c8c175831daeb2d4c44 SHA1: 1ccee4a7b79b9203798bdd363716d2b31eb48b64 MD5sum: 90b6bf0562d5fc3ab8c6e75eaf0710f6 Description: tools for volumetric image analysis VIA is a volumetric image analysis suite for functional and structural (medical) images. The suite consists of different tools ranging from simple data handling over viewers to complex image transformation. . All tools operate on data in VISTA format. The package contains several converters from e.g. PNG, PGM or PNM to this data format and back. Package: voxbo Version: 1.8.5~svn1172-1~jaunty.nd1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 8564 Depends: libc6 (>= 2.7), libfontconfig1 (>= 2.4.0), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), libpng12-0 (>= 1.2.13-4), libqt4-network (>= 4.5.0~+rc1), libqt4-qt3support (>= 4.5.0~+rc1), libqtcore4 (>= 4.5.0~+rc1), libqtgui4 (>= 4.5.0~+rc1), libstdc++6 (>= 4.2.1), libx11-6, libxext6, libxi6 (>= 2:1.2.0), libxrender1, zlib1g (>= 1:1.1.4) Suggests: mni-colin27-nifti Homepage: http://www.voxbo.org Priority: extra Section: science Filename: pool/main/v/voxbo/voxbo_1.8.5~svn1172-1~jaunty.nd1_i386.deb Size: 3310646 SHA256: 56126ecadd088ad3d350e10b8c6a69efacd30308f394faf25fe0f2c5e3c3a7b4 SHA1: aa28de70ac70b2e1f7c554cca4071e8e0e515eba MD5sum: 1d4148bc37628fc750e6650ed139370d Description: processing, statistical analysis, and display of brain imaging data This is a toolkit for analysis of functional neuroimaging (chiefly fMRI) experiments and voxel-based lesion-behavior mapping. VoxBo supports the modified GLM (for autocorrelated data), as well as the standard GLM for non-autocorrelated data. The toolkit is designed to be interoperable with AFNI, FSL, SPM and others.