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: autotools-dev Version: 20100122.1~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 216 Depends: neurodebian-popularity-contest Enhances: cdbs, debhelper Homepage: http://savannah.gnu.org/projects/config/ Priority: optional Section: devel Filename: pool/main/a/autotools-dev/autotools-dev_20100122.1~nd09.04+1_all.deb Size: 72994 SHA256: 473bb9dba59578d7c4b36c3dbe80b6ab71dea9189c67431636ba095ddb366c5c SHA1: 4f5aa68aa71eea48ae37ab39e0df7c39a62ef3d4 MD5sum: 8768cb075d2cd89d555a3bbc3fb605e6 Description: Update infrastructure for config.{guess,sub} files This package installs an up-to-date version of config.guess and config.sub, used by the automake and libtool packages. It provides the canonical copy of those files for other packages as well. . It also documents in /usr/share/doc/autotools-dev/README.Debian.gz best practices and guidelines for using autoconf, automake and friends on Debian packages. This is a must-read for any developers packaging software that uses the GNU autotools, or GNU gettext. . Additionally this package provides seamless integration into Debhelper or CDBS, allowing maintainers to easily update config.{guess,sub} files in their packages. 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: classads Version: 1.0.9-2~nd09.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 124 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libclassad0 (= 1.0.9-2~nd09.04+1), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.2.1) Homepage: http://www.cs.wisc.edu/condor/classad Priority: extra Section: misc Filename: pool/main/c/classads/classads_1.0.9-2~nd09.04+1_i386.deb Size: 36940 SHA256: c2d84f3c0ef9714f7a3fd342269af6ed81aff2afd472f10bbf1155e252018db6 SHA1: 856a1b7872ed7217cef4af6b4c0cb3f0b6c5f442 MD5sum: 244472e85a1a3a300e8f622913631981 Description: Condor's classad utilities A classad (classified ad) is a mapping from attribute names to expressions. In the simplest cases, the expressions are simple constants (integer, floating point, or string), thus a form of property list. Attribute expressions can also be more complicated. There is a protocol for evaluating an attribute expression of a classad vis a vis another ad. Two classads match if each ad has attribute requirements that evaluate to true in the context of the other ad. Classad matching is used by the Condor central manager to determine the compatibility of jobs and workstations where they may be run. . This package provides command line tools to manipulate, test and evaluate classads. 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: dh-autoreconf Version: 2~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 Depends: neurodebian-popularity-contest, perl, debhelper, autoconf, automake | automaken, libtool Recommends: autopoint Enhances: cdbs, debhelper Priority: optional Section: devel Filename: pool/main/d/dh-autoreconf/dh-autoreconf_2~nd09.04+1_all.deb Size: 11738 SHA256: 93f9613e7c6daaab645860f0c5bf47da427ff4f7fb84bd1fe9b485c37e738550 SHA1: 202ed6519fa1a66c5fad5cbd436e6a1aa7160385 MD5sum: 93ef77cb9cdc96a5fa0263da9dc57fcd Description: debhelper add-on to call autoreconf and clean up after the build dh-autoreconf provides a debhelper sequence addon named 'autoreconf' and two commands, dh_autoreconf and dh_autoreconf_clean. . The dh_autoreconf command creates a list of the files and their checksums, calls autoreconf and then creates a second list for the new files. . The dh_autoreconf_clean command compares these two lists and removes all files which have been added or changed (files may be excluded if needed). . For CDBS users, a rule is provided to call the dh-autoreconf programs at the right time. 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: eatmydata Source: libeatmydata Version: 26-2~nd09.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3) Provides: libeatmydata Homepage: https://launchpad.net/libeatmydata Priority: optional Section: utils Filename: pool/main/libe/libeatmydata/eatmydata_26-2~nd09.04+1_i386.deb Size: 7954 SHA256: de539192f8d12ddfebc00e74c37c3ff457279ceb75c8ce7a9ff43a15bdc95d47 SHA1: e3b0602325f122c9e39d022bbc5c45ce3493dceb MD5sum: 30929833bdc1a0ec6f08f4fe79a63377 Description: library and utilities designed to disable fsync and friends This package contains a small LD_PRELOAD library (libeatmydata) and a couple of helper utilities designed to transparently disable fsync and friends (like open(O_SYNC)). This has two side-effects: making software that writes data safely to disk a lot quicker and making this software no longer crash safe. . You will find eatmydata useful if particular software calls fsync(), sync() etc. frequently but the data it stores is not that valuable to you and you may afford losing it in case of system crash. Data-to-disk synchronization calls are typically very slow on modern file systems and their extensive usage might slow down software significantly. It does not make sense to accept such a hit in performance if data being manipulated is not very important. . On the other hand, do not use eatmydata when you care about what software stores or it manipulates important components of your system. The library is called libEAT-MY-DATA for a reason. 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: fail2ban Version: 0.8.4+svn20110323-1~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 596 Depends: neurodebian-popularity-contest, python (>= 2.4), python-central (>= 0.6.11), lsb-base (>= 2.0-7) Recommends: iptables, whois Suggests: python-gamin, mailx Homepage: http://www.fail2ban.org Priority: optional Section: net Filename: pool/main/f/fail2ban/fail2ban_0.8.4+svn20110323-1~nd09.04+1_all.deb Size: 97992 SHA256: 1952b5b9c28ba175acfa8ddb34cb9f7345d95606ab57593ef54984a4a55b22c6 SHA1: 5e625fd71a2df7700caa0ef43a3b36e76fe73796 MD5sum: 27f6697a65a0881c23ad4ea3bb6e2d1a Description: ban hosts that cause multiple authentication errors Fail2ban monitors log files (e.g. /var/log/auth.log, /var/log/apache/access.log) and temporarily or persistently bans failure-prone addresses by updating existing firewall rules. Fail2ban allows easy specification of different actions to be taken such as to ban an IP using iptables or hostsdeny rules, or simply to send a notification email. . By default, it comes with filter expressions for various services (sshd, apache, qmail, proftpd, sasl etc.) but configuration can be easily extended for monitoring any other text file. All filters and actions are given in the config files, thus fail2ban can be adopted to be used with a variety of files and firewalls. Python-Version: current, >= 2.4 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: libclassad-dev Source: classads Version: 1.0.9-2~nd09.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1728 Depends: neurodebian-popularity-contest, libclassad0 (= 1.0.9-2~nd09.04+1) Conflicts: libclassad0-dev Replaces: libclassad0-dev Homepage: http://www.cs.wisc.edu/condor/classad Priority: extra Section: libdevel Filename: pool/main/c/classads/libclassad-dev_1.0.9-2~nd09.04+1_i386.deb Size: 527586 SHA256: bef204f92d1105991a8ca4b6030b4a13ad18040b2eaff1f338605103575141c8 SHA1: 025d638c48cd1d4c53af124f8406176167f9fa74 MD5sum: 30f791367ad35dac0184db167d9c60a7 Description: library for Condor's classads expression language (development) A classad (classified ad) is a mapping from attribute names to expressions. In the simplest cases, the expressions are simple constants (integer, floating point, or string), thus a form of property list. Attribute expressions can also be more complicated. There is a protocol for evaluating an attribute expression of a classad vis a vis another ad. Two classads match if each ad has attribute requirements that evaluate to true in the context of the other ad. Classad matching is used by the Condor central manager to determine the compatibility of jobs and workstations where they may be run. . This package provides the static library and header files. Package: libclassad0 Source: classads Version: 1.0.9-2~nd09.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1088 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.2.1) Homepage: http://www.cs.wisc.edu/condor/classad Priority: extra Section: libs Filename: pool/main/c/classads/libclassad0_1.0.9-2~nd09.04+1_i386.deb Size: 426656 SHA256: 073986b9820b19499f845fa63fca2cd18f8aa9ae30fa75f9156b2357a85606ca SHA1: 4e077ec49d33fb935d16b7930ec1c74daa407f13 MD5sum: 565d6ac5f2a12b2284674be1a65e7fda Description: library for Condor's classads expression language A classad (classified ad) is a mapping from attribute names to expressions. In the simplest cases, the expressions are simple constants (integer, floating point, or string), thus a form of property list. Attribute expressions can also be more complicated. There is a protocol for evaluating an attribute expression of a classad vis a vis another ad. Two classads match if each ad has attribute requirements that evaluate to true in the context of the other ad. Classad matching is used by the Condor central manager to determine the compatibility of jobs and workstations where they may be run. . This package provides the runtime library. 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: matlab-support-dev Source: matlab-support Version: 0.0.14~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 48 Depends: neurodebian-popularity-contest Conflicts: matlab-dev (<= 0.0.14~) Replaces: matlab-dev (<= 0.0.14~) Priority: optional Section: devel Filename: pool/main/m/matlab-support/matlab-support-dev_0.0.14~nd09.04+1_all.deb Size: 5470 SHA256: 72288aff1d2f10f65bdefc4550d8886de27b226414e5c7739fe80dcd78b3f3c4 SHA1: d27aba61a08da43cfe51f21b5d6a24e506d9897a MD5sum: a9ac7d7157d74db74aac6ba647cbcb8e Description: helpers for packages building Matlab toolboxes Analogous to Octave a Makefile snippet is provided that configures the locations for architecture independent M-files, binary MEX-extensions, and there corresponding sources. This package can be used as a build-dependency by other packages shipping Matlab toolboxes. 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: neurodebian-desktop Source: neurodebian Version: 0.24~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 332 Depends: ssh-askpass-gnome | ssh-askpass, desktop-base, gnome-icon-theme, neurodebian-popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-desktop_0.24~nd09.04+1_all.deb Size: 114592 SHA256: d39eef8fd0a0a361375b4af755dbc24b9dad3ca1d0ec3005d6b33c2d551fa83e SHA1: 5cd041db871f15b35fd1003fc2dc37bf7a8653db MD5sum: 3d553848135dfb3b9428508be36e1fae Description: neuroscience research environment This package contains NeuroDebian artwork (icons, background image) and a NeuroDebian menu featuring most popular neuroscience tools automatically installed upon initial invocation. Package: neurodebian-dev Source: neurodebian Version: 0.24~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4400 Depends: devscripts, cowbuilder, python, neurodebian-keyring Recommends: virtualbox-ose, virtualbox-ose-fuse, zerofree Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-dev_0.24~nd09.04+1_all.deb Size: 3794952 SHA256: 282ce6a5f1db6134eccee2b34670ea2633c175d185f7cc8b8f6eea198fce09c1 SHA1: 7b25af37cc21ffbb24c131381534ca4419816723 MD5sum: fe139957a331724c3f03117428c49814 Description: NeuroDebian development tools neuro.debian.net sphinx website sources and development tools used by NeuroDebian to provide backports for a range of Debian/Ubuntu releases. Package: neurodebian-guest-additions Source: neurodebian Version: 0.24~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 236 Pre-Depends: virtualbox-ose-guest-utils, virtualbox-ose-guest-x11, virtualbox-ose-guest-dkms Depends: sudo, neurodebian-desktop, gdm, update-manager-gnome, update-notifier Recommends: chromium-browser Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-guest-additions_0.24~nd09.04+1_all.deb Size: 12712 SHA256: 2cc0e390b974c7e36567d19c13b260eaa658c754f4929ea1506abea2a799c47c SHA1: 8fd33b232a3dddf59ae6bf1a35c7e7d2ceea88bb MD5sum: 30cef66f3440ffb8c267d60688da87d9 Description: NeuroDebian guest additions (DO NOT INSTALL OUTSIDE VIRTUALBOX) This package configures a Debian installation as a guest operating system in a VirtualBox-based virtual machine for NeuroDebian. . DO NOT install this package unless you know what you are doing! For example, installation of this package relaxes several security mechanisms. Package: neurodebian-keyring Source: neurodebian Version: 0.24~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 56 Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-keyring_0.24~nd09.04+1_all.deb Size: 5784 SHA256: f2ee88742c9945ed1624970256868d17bccfcbd9e763c6df7351744110527326 SHA1: bc7b1d8cf182b11846fd94730abb8c14c32d6235 MD5sum: b141a5f522d66687413eeb9a0fd8a16b Description: GnuPG archive keys of the NeuroDebian archive The NeuroDebian project digitally signs its Release files. This package contains the archive keys used for that. Package: neurodebian-popularity-contest Source: neurodebian Version: 0.24~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 40 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.24~nd09.04+1_all.deb Size: 4960 SHA256: 71b6e5b5ac915017553e628064fb481190cd89f392fbc3130a7068d3f5e14341 SHA1: 0d9db9a77c14424c44d815e203bf615c6484b203 MD5sum: d507abb0818c668e242d85af7386c177 Description: Helper for NeuroDebian popularity contest submissions 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 (e.g. Debian or Ubuntu) popcon server. . Your participation in popcon is important for following reasons: - Popular packages receive more attention from developers, bugs are fixed faster and updates are provided quicker. - Assure that we do not drop support for a previous release of Debian or Ubuntu while are active users. - User statistics could be used by upstream research software developers to acquire funding for continued development. . It has an effect only if you have decided to participate in the Popularity Contest of your distribution, i.e. Debian or Ubuntu. You can always enable or disable your participation in popcon by running 'dpkg-reconfigure popularity-contest' as root. 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: nipy-suite Version: 0.1.0-2 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 36 Depends: python-nibabel (>= 1.0.0), python-nipy (>= 0.1.2+20110114), python-dipy (>= 0.5.0), python-nipype (>= 0.3.3), python-nitime (>= 0.2) Suggests: python-mvpa, psychopy Homepage: http://www.nipy.org Priority: extra Section: python Filename: pool/main/n/nipy-suite/nipy-suite_0.1.0-2_all.deb Size: 3898 SHA256: 882c8580ebd2d458a92f8d851d1ec9291fecf05f6ed98a8b754eb831c95368c8 SHA1: 6501d1d201160520f5aad29d0f9007c17b7d9778 MD5sum: eb090e568264d2f439892bcb98485b8c Description: Neuroimaging in Python NiPy is a comprehensive suite of Python modules to perform analysis of Neuroimaging data in Python. nipy-suite is a metapackage depending on the projects developed under NiPy project umbrella, such as - nibabel: bindings to various neuroimaging data formats - nipy: analysis of structural and functional neuroimaging data - nitime: timeseries analysis - dipy: analysis of MR diffusion imaging data - nipype: pipelines and worfklows Package: nipy-suite-doc Source: nipy-suite Version: 0.1.0-2 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 32 Depends: python-nibabel-doc (>= 1.0.0), python-nipy-doc (>= 0.1.2+20110114), python-dipy-doc (>= 0.5.0), python-nipype-doc (>= 0.3.3), python-nitime-doc (>= 0.2) Suggests: python-mvpa-doc Homepage: http://www.nipy.org Priority: extra Section: doc Filename: pool/main/n/nipy-suite/nipy-suite-doc_0.1.0-2_all.deb Size: 2250 SHA256: 54985bd9d6eaa352608b357f2deeb066bd2ac12d3c2e463082f5d9178701bbad SHA1: 5d2f5e94ff6b7ff737fe966f4a2e5ff67df93cca MD5sum: 37d2f8b6b6d203edf208afb0cdb56fa3 Description: Neuroimaging in Python -- documentation NiPy is a comprehensive suite of Python modules to perform analysis of Neuroimaging data in Python. . nipy-suite-doc is a metapackage depending on the documentation packages for NiPy projects. 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: opensesame Version: 0.23+git1-g0212357-1~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5092 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.7.1), python-qt4, python-pygame (>= 1.8.1~), python-numpy (>= 1.3.0~), python-tk Recommends: python-serial (>= 2.3~) Homepage: http://www.cogsci.nl/software/opensesame Priority: extra Section: science Filename: pool/main/o/opensesame/opensesame_0.23+git1-g0212357-1~nd09.04+1_all.deb Size: 3335162 SHA256: e2015de6ab6e257a3a523d0d41ddc5f9c745a30a1d532d91fe5f75168fba75e1 SHA1: 8c84fe29f70670d87f68d22356fc7751b7ee4eb3 MD5sum: 43fa8a9aaef843151d16c85aa83e0c3a Description: graphical experiment builder for the social sciences This graphical environment provides an easy to use, point-and-click interface for creating psychological experiments. In addition to a powerful sketchpad for creating visual stimuli, OpenSesame features a sampler and synthesizer for sound playback. For more complex tasks, OpenSesame supports Python scripting using the built-in editor with syntax highlighting. Python-Version: 2.6 Package: psychopy Version: 1.63.04.dfsg-1~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4468 Depends: neurodebian-popularity-contest, 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, ipython Suggests: python-iolabs Homepage: http://www.psychopy.org Priority: optional Section: science Filename: pool/main/p/psychopy/psychopy_1.63.04.dfsg-1~nd09.04+1_all.deb Size: 2370640 SHA256: 61ffc6c1cf03cb72f44c1c8a6ca43c95005fec95f83af16fc05c8916a42aa894 SHA1: c6232ed8b4b07cdd031f1018070781bd5c8d30a0 MD5sum: 489c3b9c8eb3bef755c02a5714eb9488 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 - IDE GUI for coding in a powerful scripting language (Python) - Builder GUI for rapid development of stimulation sequences - 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-brian Source: brian Version: 1.3.0-2~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1684 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.7.1), python-brian-lib (>= 1.3.0-2~nd09.04+1), python-matplotlib (>= 0.90.1), python-numpy (>= 1.3.0), python-scipy (>= 0.7.0) Recommends: python-sympy Suggests: python-brian-doc, python-nose, python-cherrypy Homepage: http://www.briansimulator.org/ Priority: extra Section: python Filename: pool/main/b/brian/python-brian_1.3.0-2~nd09.04+1_all.deb Size: 312954 SHA256: 5cf58bb000a50c268dde5631dfdc42eb7812bd2c4a9c281e9e8c7ed4fadd051a SHA1: 5955fc113394e2e92533efbffc6706486cb65ab1 MD5sum: 3bf6eb6902ac9f3f570b00bb91b4abcd Description: simulator for spiking neural networks Brian is a clock-driven simulator for spiking neural networks. It is designed with an emphasis on flexibility and extensibility, for rapid development and refinement of neural models. Neuron models are specified by sets of user-specified differential equations, threshold conditions and reset conditions (given as strings). The focus is primarily on networks of single compartment neuron models (e.g. leaky integrate-and-fire or Hodgkin-Huxley type neurons). Features include: - a system for specifying quantities with physical dimensions - exact numerical integration for linear differential equations - Euler, Runge-Kutta and exponential Euler integration for nonlinear differential equations - synaptic connections with delays - short-term and long-term plasticity (spike-timing dependent plasticity) - a library of standard model components, including integrate-and-fire equations, synapses and ionic currents - a toolbox for automatically fitting spiking neuron models to electrophysiological recordings Package: python-brian-doc Source: brian Version: 1.3.0-2~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5276 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-brian Homepage: http://www.briansimulator.org/ Priority: extra Section: doc Filename: pool/main/b/brian/python-brian-doc_1.3.0-2~nd09.04+1_all.deb Size: 1649852 SHA256: 61e382bb3fd2fc588eba0924e74c8de72447ea56aba256c24920ef2078fbcd0b SHA1: 5fa7f26eb12fac0bad61dfe96d4e38dc44a33454 MD5sum: e46f533475ee6dc79e2fb3763ce978ec Description: simulator for spiking neural networks - documentation Brian is a clock-driven simulator for spiking neural networks. . This package provides user's manual (in HTML format), examples and demos. Package: python-brian-lib Source: brian Version: 1.3.0-2~nd09.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 148 Depends: neurodebian-popularity-contest, python (<< 2.7), python (>= 2.6), python-support (>= 0.7.1), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.2.1) Homepage: http://www.briansimulator.org/ Priority: extra Section: python Filename: pool/main/b/brian/python-brian-lib_1.3.0-2~nd09.04+1_i386.deb Size: 53172 SHA256: 300bc940835c3f36e706986cb62f4d729c55651116a562d574ca19a4451e68fe SHA1: c3917e657c3f8ef07753ef1197f3d76efdea24a3 MD5sum: 060d31fd27773c0e2cdf3db7cb444a07 Description: simulator for spiking neural networks -- extensions Brian is a clock-driven simulator for spiking neural networks. . This package provides Python binary extensions. 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-jinja2 Source: jinja2 Version: 2.3.1-1~nd09.04+2 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1004 Depends: neurodebian-popularity-contest, python (<< 2.7), python (>= 2.5), python-support (>= 0.7.1), libc6 (>= 2.3.6-6~) Recommends: python-pkg-resources Suggests: python-jinja2-doc Enhances: python-pybabel Provides: python2.5-jinja2, python2.6-jinja2 Homepage: http://jinja.pocoo.org/2/ Priority: optional Section: python Filename: pool/main/j/jinja2/python-jinja2_2.3.1-1~nd09.04+2_i386.deb Size: 160696 SHA256: 1ac3c5838e2058b898051eccf88979d427e672d4deeea76dabcdce5e1bd06dd6 SHA1: bd90c94d5d065a656e525228684d689c8ee3fe28 MD5sum: dc99c4bda126395ee3adbf1ee271037e Description: small but fast and easy to use stand-alone template engine Jinja2 is a template engine written in pure Python. It provides a Django inspired non-XML syntax but supports inline expressions and an optional sandboxed environment. . The key-features are: * Configurable syntax. If you are generating LaTeX or other formats with Jinja2 you can change the delimiters to something that integrates better into the LaTeX markup. * Fast. While performance is not the primarily target of Jinja2 it’s surprisingly fast. The overhead compared to regular Python code was reduced to the very minimum. * Easy to debug. Jinja2 integrates directly into the Python traceback system which allows you to debug Jinja2 templates with regular Python debugging helpers. * Secure. It’s possible to evaluate untrusted template code if the optional sandbox is enabled. This allows Jinja2 to be used as templating language for applications where users may modify the template design. Python-Version: 2.5, 2.6 Package: python-jinja2-dbg Source: jinja2 Version: 2.3.1-1~nd09.04+2 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 92 Depends: neurodebian-popularity-contest, python-jinja2 (= 2.3.1-1~nd09.04+2), python-dbg, libc6 (>= 2.3.6-6~) Provides: python2.5-jinja2-dbg, python2.6-jinja2-dbg Homepage: http://jinja.pocoo.org/2/ Priority: extra Section: debug Filename: pool/main/j/jinja2/python-jinja2-dbg_2.3.1-1~nd09.04+2_i386.deb Size: 23916 SHA256: 23b87ec0d0369f5db9a3d41559cb3789a4be29e6d91ef54e73998a8f124d4368 SHA1: 7c2b44d530d8f7fbd7238ccbccc750cf50a6f936 MD5sum: 07c163843ca943eeb26534fc206e59ee Description: small but fast and easy to use stand-alone template engine Jinja2 is a template engine written in pure Python. It provides a Django inspired non-XML syntax but supports inline expressions and an optional sandboxed environment. . This package contains the extension built for the Python debug interpreter. Python-Version: 2.5, 2.6 Package: python-jinja2-doc Source: jinja2 Version: 2.3.1-1~nd09.04+2 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 132 Depends: neurodebian-popularity-contest, libjs-jquery Recommends: python-jinja2 Homepage: http://jinja.pocoo.org/2/ Priority: extra Section: doc Filename: pool/main/j/jinja2/python-jinja2-doc_2.3.1-1~nd09.04+2_all.deb Size: 15722 SHA256: a03d8eb9b0ee52305d09c2656f085447b3a26b91b9454278f95bc6236f703d80 SHA1: 3fdea67191d5dd05223145f5ff11a8e5635e8932 MD5sum: d32b0f2016ef1c29536944a762fd16f3 Description: documentation for the Jinja2 Python library Jinja2 is a small but fast and easy to use stand-alone template engine . This package contains the documentation for Jinja2 in HTML and reStructuredText formats. Package: python-joblib Source: joblib Version: 0.5.1-1~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 228 Depends: neurodebian-popularity-contest, python-support (>= 0.7.1) Recommends: python-numpy, python-nose, python-simplejson Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python-joblib_0.5.1-1~nd09.04+1_all.deb Size: 44000 SHA256: ec0d9fd96c662df22371aab8b06dcf0bac3283e4d4015b864082c9455f53f6d6 SHA1: 68e8a20774f3643dd4f4fe2733f73927504b7c6a MD5sum: afc75caf04c05019719633c95e15d21a Description: tools to provide lightweight pipelining in Python Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: - transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) - easy simple parallel computing - logging and tracing of the execution . Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays. Package: python-mdp Source: mdp Version: 3.1-1~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1808 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.7.1), python-numpy Recommends: python-scipy, shogun-python-modular, python-libsvm, python-scikits-learn, python-joblib Suggests: python-pp, python-py Enhances: python-mvpa Conflicts: python-libsvm (<< 3.0) Homepage: http://mdp-toolkit.sourceforge.net/ Priority: optional Section: python Filename: pool/main/m/mdp/python-mdp_3.1-1~nd09.04+1_all.deb Size: 454322 SHA256: e02bf0bc72024b6fbaacd5da2cf56a483c60465a0f2667b4433f217a87e999e2 SHA1: cb3b176100bec89ec3264febadc03088cde9e5a2 MD5sum: 3a53113153b0c73fffdf4fa304c30289 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-mpi4py Source: mpi4py Version: 1.2.2-1~pre1~nd09.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1836 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libopenmpi1, python (<< 2.7), python (>= 2.5), python-support (>= 0.7.1) Recommends: openmpi-bin Suggests: python-numpy Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: python Filename: pool/main/m/mpi4py/python-mpi4py_1.2.2-1~pre1~nd09.04+1_i386.deb Size: 524312 SHA256: 0f952b1bf747e62c0f4011339e3f04fe83afb9d440a25c471b4c9a223744206b SHA1: 9c77f6b444ff4abb398da0436bd1a148b922409c MD5sum: de50f377d8e104f258793f50275837be Description: bindings of the Message Passing Interface (MPI) standard MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). Package: python-mpi4py-dbg Source: mpi4py Version: 1.2.2-1~pre1~nd09.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2832 Depends: neurodebian-popularity-contest, python-mpi4py (= 1.2.2-1~pre1~nd09.04+1) Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: python Filename: pool/main/m/mpi4py/python-mpi4py-dbg_1.2.2-1~pre1~nd09.04+1_i386.deb Size: 1045286 SHA256: f20db012b5a737d79b6a4543abd0447238e0fbc08db81bccf13a6c523ebf4390 SHA1: 42ccb80eb209a94bb0719de17f682684320c2e6f MD5sum: 7d6bc3976c7f3c9964d8dca1150c99c6 Description: bindings of the MPI standard -- debug symbols MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). . This package provides debug symbols. Package: python-mpi4py-doc Source: mpi4py Version: 1.2.2-1~pre1~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 272 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-mpi4py Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: python Filename: pool/main/m/mpi4py/python-mpi4py-doc_1.2.2-1~pre1~nd09.04+1_all.deb Size: 54774 SHA256: 37fa2b3970857b1a2b9acdf62483c4ba4d2a68118e6864e03699ff177a4c2f61 SHA1: d250ed843a65a8fde70d1addb4f1ee20aa45c495 MD5sum: 46131b4d8bc099fdb72d974e9c904e70 Description: bindings of the MPI standard -- documentation MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). . This package provides HTML rendering of the user's manual. Package: python-mvpa Source: pymvpa Version: 0.4.7-2~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4052 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.7.1), python-numpy, python-mvpa-lib (>= 0.4.7-2~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_0.4.7-2~nd09.04+1_all.deb Size: 2187040 SHA256: c10305986d975fa299fd8ef84b5725faba8896cc867c666da7c58fdd1eb44ffe SHA1: a588c7948357d56089ecd18d61c6ca875dde7f5c MD5sum: 230e0e3ebd83f6c9a5637f7904138a20 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: 0.4.7-2~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 41052 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-mvpa Homepage: http://www.pymvpa.org Priority: optional Section: doc Filename: pool/main/p/pymvpa/python-mvpa-doc_0.4.7-2~nd09.04+1_all.deb Size: 8730214 SHA256: 12bc72d3b16f02bc563b553f4b587a38fa2c74d7347fd152efcc57f547c20a6c SHA1: 61c85c5b0fa29ecf5cecdcf4be98a37cc60aa316 MD5sum: 9fc8d4ce0469a0ab48a6517f328a482e 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: 0.4.7-2~nd09.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 196 Depends: neurodebian-popularity-contest, 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_0.4.7-2~nd09.04+1_i386.deb Size: 59176 SHA256: 26706358e6c2bbc938dd4910cedd8a74fc6d6973538066a588e28327e53b4f1f SHA1: 0ab0722a789a66f390dde3bbf7b6d298396ca192 MD5sum: fde41817068c6f8e4341a448de992761 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~nd09.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1344 Depends: neurodebian-popularity-contest, 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~nd09.04+1_i386.deb Size: 339518 SHA256: fcb1c79054411a9eaeaf31027d7b3c8eda15fd40395319251f98edef1627f038 SHA1: 10018bdfb2c1ec8e7a6ae99754c032c53bc76a52 MD5sum: e383d8aeb3df7312bf81a3d28ed69e46 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-pyglet Source: pyglet Version: 1.1.4.dfsg-1~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4352 Depends: neurodebian-popularity-contest, python (>= 2.4), python-support (>= 0.7.1), python-ctypes | python (>= 2.5), libgtk2.0-0, libgl1 | libgl1-mesa-swx11, libglu1 | libglu1-mesa Recommends: libasound2 | libopenal1 Provides: python2.5-pyglet, python2.6-pyglet Homepage: http://www.pyglet.org Priority: optional Section: python Filename: pool/main/p/pyglet/python-pyglet_1.1.4.dfsg-1~nd09.04+1_all.deb Size: 971818 SHA256: a77e5031e1d5554c63799c932babe4afaa5ca25b53f30f5a1b52120b462a973f SHA1: 6f4228d065c43c85a92cea6d08ed9efdad170550 MD5sum: 34cc0754a31502b3f72fb99378e98b56 Description: cross-platform windowing and multimedia library This library provides an object-oriented programming interface for developing games and other visually-rich applications with Python. pyglet has virtually no external dependencies. For most applications and game requirements, pyglet needs nothing else besides Python, simplifying distribution and installation. It also handles multiple windows and fully aware of multi-monitor setups. . pyglet might be seen as an alternative to PyGame. 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: 0.7.1.dfsg-3~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1228 Depends: neurodebian-popularity-contest, python (<< 2.7), python (>= 2.5), python-support (>= 0.7.1), python-numpy, python-scipy, python-scikits-learn-lib (>= 0.7.1.dfsg-3~nd09.04+1) Recommends: python-nose, python-psyco, python-matplotlib, python-joblib (>= 0.4.5) 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_0.7.1.dfsg-3~nd09.04+1_all.deb Size: 271298 SHA256: 28f2a9d0e788bdf44e0dc427caa761c28e7f13741f688cd7ba1baac531b4aae5 SHA1: 6eef59ed39c41ec1fd68ac01b1237b26a93f7d84 MD5sum: 5466abff7ab7ec7e2c8c6cf37f2bd269 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: 0.7.1.dfsg-3~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7356 Depends: neurodebian-popularity-contest, 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_0.7.1.dfsg-3~nd09.04+1_all.deb Size: 2843108 SHA256: ce5a4798af56b5ed1bc4581de8e0161dd687dac19eb8c0fbdee9ff01811551da SHA1: 17bffcf1ba5e5ad1aba175c9f6701b94779563c5 MD5sum: 39bc9af9e94732a7a7d4d96fe695f476 Description: documentation and examples for scikit-learn This package contains documentation and example scripts for python-scikits-learn. Package: python-scikits-learn-lib Source: scikit-learn Version: 0.7.1.dfsg-3~nd09.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2208 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.2.1), 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_0.7.1.dfsg-3~nd09.04+1_i386.deb Size: 780956 SHA256: b26a74a0f56d3ddb62fae32070f97121e850a820c90f0e9390cda27076ec0a18 SHA1: 6b0d95e5139cfccca476546ac524d1f8297baeab MD5sum: d609a8a2a89b3700487cb5bd5314297c Description: low-level implementations and bindings for scikits-learn This is an add-on package for python-scikits-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: 1.0.7-2~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4184 Depends: neurodebian-popularity-contest, 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_1.0.7-2~nd09.04+1_all.deb Size: 1259856 SHA256: ab2608951ccd811c42880a1b81c07f9768947bad15efa5077d0e3f2a03737f09 SHA1: e259389f5a8a61b7732ef01e9af24e6518270638 MD5sum: c2dc68c6c20d72f8134fb46c79ae9010 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: python-stfio Source: stimfit Version: 0.10.9-1~nd09.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 516 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libhdf5-serial-1.8.3 | libhdf5-1.8.3, libpython2.6 (>= 2.6), libstdc++6 (>= 4.2.1), python-numpy Recommends: python-matplotlib, python-scipy Homepage: http://www.stimfit.org Priority: optional Section: python Filename: pool/main/s/stimfit/python-stfio_0.10.9-1~nd09.04+1_i386.deb Size: 208938 SHA256: e37944a2a8164b83ffc29bd955537c361224c4ff8b0be908508f88ce32ba8a95 SHA1: d6aea5822a419f56b8435e75a6a92639f9db5dde MD5sum: 44da3a7bb7e5d0320560191c953b683e Description: A Python module to read common electrophysiology file formats. The stfio module allows you to read common electrophysiology file formats from Python. Axon binaries (abf), Axon text (atf), HEKA (dat), CFS (dat/cfs), Axograph (axgd/axgx) are currently supported. Package: python-sympy Source: sympy Version: 0.6.7-1.1~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9240 Depends: neurodebian-popularity-contest, python, python-support (>= 0.7.1) Recommends: python-imaging, python-ctypes, ipython Homepage: http://code.google.com/p/sympy/ Priority: optional Section: python Filename: pool/main/s/sympy/python-sympy_0.6.7-1.1~nd09.04+1_all.deb Size: 1693702 SHA256: a295ddb735bce8bac8265b577972974517c1d085e09cf9232b029459d7fbcf10 SHA1: 9f16b848ea7b94f00b2d8d033bbb8523989606ff MD5sum: 207d3a406d5d1efc1d7e66ddb7ab05aa Description: Computer Algebra System (CAS) in Python SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. 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: spm8-common Source: spm8 Version: 8.4290~dfsg.1-1~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 22192 Depends: neurodebian-popularity-contest Recommends: spm8-data, spm8-doc Priority: extra Section: science Filename: pool/main/s/spm8/spm8-common_8.4290~dfsg.1-1~nd09.04+1_all.deb Size: 10547256 SHA256: 03b14f77acc552b374acfbe9f761a01511639a4517db8e11e6ff11246101160d SHA1: 605324430c5b2ca25f25e6049578253e8cf10e57 MD5sum: 9f2041f5a304d26c2cac9e73e7ea7aa6 Description: analysis of brain imaging data sequences Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provides the platform-independent M-files. Package: spm8-data Source: spm8 Version: 8.4290~dfsg.1-1~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 73084 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/s/spm8/spm8-data_8.4290~dfsg.1-1~nd09.04+1_all.deb Size: 52167548 SHA256: 84033e9becf8737b2b112102312162029c817eedbbd579b011d9e83c38f11c34 SHA1: 3dab20c24aa7171fe1456f61ec740f4fd44bffb6 MD5sum: 9caf1a691a3bb9175f54fc3b3ae18b21 Description: data files for SPM8 Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provide the data files shipped with the SPM distribution, such as various stereotaxic brain space templates and EEG channel setups. Package: spm8-doc Source: spm8 Version: 8.4290~dfsg.1-1~nd09.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9228 Depends: neurodebian-popularity-contest Priority: extra Section: doc Filename: pool/main/s/spm8/spm8-doc_8.4290~dfsg.1-1~nd09.04+1_all.deb Size: 8489610 SHA256: 26b081019f7769113bacb8caa57c503bc3969b3b5b2dac471be0a53e82bffb09 SHA1: fed4598325ba278f9b432d8fe7a9e85d168b900c MD5sum: 214798cf69b14cc68f8381cc57997f6f Description: manual for SPM8 Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provides the SPM manual in PDF format. Package: stimfit Version: 0.10.9-1~nd09.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1848 Depends: neurodebian-popularity-contest, libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.4), libfftw3-3, libgcc1 (>= 1:4.1.1), libhdf5-serial-1.8.3 | libhdf5-1.8.3, liblapack3gf | liblapack.so.3gf | libatlas3gf-base, libpython2.6 (>= 2.6), libstdc++6 (>= 4.2.1), libwxbase2.8-0 (>= 2.8.9.1), libwxgtk2.8-0 (>= 2.8.9.1), python-wxgtk2.8 (>= 2.8.9), python-numpy, python-matplotlib Recommends: python-scipy Homepage: http://www.stimfit.org Priority: optional Section: science Filename: pool/main/s/stimfit/stimfit_0.10.9-1~nd09.04+1_i386.deb Size: 681388 SHA256: 89b20b9d1b6f0f5d8eb31d9944f53bd3ab1dad901c4a74a4e37fee26a9498fee SHA1: 62ab09cb0b175f55d64ef4e94025c978179ba417 MD5sum: 8cd9724e62c9cbb12ca27ab29c1a068d Description: A program for viewing and analyzing electrophysiological data Stimfit is a free, fast and simple program for viewing and analyzing electrophysiological data. It features an embedded Python shell that allows you to extend the program functionality by using numerical libraries such as NumPy and SciPy. Package: stimfit-dbg Source: stimfit Version: 0.10.9-1~nd09.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 12668 Depends: neurodebian-popularity-contest, stimfit Recommends: python-matplotlib, python-scipy, python-stfio Homepage: http://www.stimfit.org Priority: extra Section: debug Filename: pool/main/s/stimfit/stimfit-dbg_0.10.9-1~nd09.04+1_i386.deb Size: 4772610 SHA256: 72aea444f616a20a64fc3fffb5dc055632fa80414a83347bac0547dd1d3832b4 SHA1: d0f1f494024e900e59a9d423bb24d4c65b41ea92 MD5sum: 389826127da8e4ed1935e58253c453e8 Description: Debug symbols for stimfit Stimfit is a free, fast and simple program for viewing and analyzing electrophysiological data. It features an embedded Python shell that allows you to extend the program functionality by using numerical libraries such as NumPy and SciPy. Package: svgtune Version: 0.1.0-2 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_0.1.0-2_all.deb Size: 6680 SHA256: 69b4df1e0b4c247673265c7f5bb2b2ffe2209d783617bf7f6eadce86633f80e1 SHA1: bec339e4453c35a05a616deef6769a6f2ad2d00d MD5sum: ef6797498477a73f930ad9bc0db3ba73 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~svn1246-1~nd09.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 9028 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libfontconfig1 (>= 2.4.0), libfreetype6 (>= 2.2.1), 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, matlab-spm8 Homepage: http://www.voxbo.org Priority: extra Section: science Filename: pool/main/v/voxbo/voxbo_1.8.5~svn1246-1~nd09.04+1_i386.deb Size: 3477942 SHA256: 8e8d292cc6f01f2545354b6ae6f10399b7ceed5d6a979f1c279fa4f75ad036f5 SHA1: fb8cc5d759ef049f88835976965da813cd61a03d MD5sum: b556e3d039f499ec83c93e2b69b99b14 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.