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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 672 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_amd64.deb Size: 255696 SHA256: 8de19a19a03a528044a5592cbf75291dc73dcccb92acd4ad7ff2a608abdd7d81 SHA1: 13a5463f66fb4b8fee489eee0922d540d09582ef MD5sum: 856d73d58b7e9612da28b507ca2b6162 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 132 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_amd64.deb Size: 37328 SHA256: 9e3a7b111c7e7d06e46c014afc72d86f92d6668fb861a7c4d50071900f8d000c SHA1: 4a64576338cd7a9c152237152eb45cd594bcdce7 MD5sum: 423db27928e83e2860a81779b41d760d 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4924 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_amd64.deb Size: 1299290 SHA256: 21f363a3ab5ac162ac64870a0502aa73dd3c22550deff8f7291283672e161b2e SHA1: 566cca9fc7a4b0575cac4faa18fb35326a8b8ba5 MD5sum: 09ad8372e5919e7dde61ccca0bdf863c 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 11800 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_amd64.deb Size: 3730870 SHA256: 27215f2100ed0c035c267d255cd6bf118589348a5fa2257961c2963613ea3d77 SHA1: 5819c1ef46b258329903864652219c984b83b7d1 MD5sum: 9bfdc45bae45c243317daf5a1e4f4e2e 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: amd64 Maintainer: NeuroDebian Team Installed-Size: 528 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_amd64.deb Size: 159522 SHA256: 397c66041bae98d6ea6ea773b2657499703a165d205904199c4d8f9c2337f6ff SHA1: f44d15a69ffd72d37b5ca6da6141bec2f4867e46 MD5sum: 78acb92395b1759d449a12b3789bb7c4 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5) Provides: libeatmydata Homepage: https://launchpad.net/libeatmydata Priority: optional Section: utils Filename: pool/main/libe/libeatmydata/eatmydata_26-2~nd09.04+1_amd64.deb Size: 8234 SHA256: 42a45cbc0cbe79645220d3f04fdb38c5d0961dcd1f326c3d474b43e53db70504 SHA1: 127201c2b7ff6abb8cd54ce61fbc3a4fa90859f7 MD5sum: 454664238a6f909a6d21c9b8c40306a0 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: amd64 Maintainer: NeuroDebian Team Installed-Size: 4200 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_amd64.deb Size: 1526106 SHA256: cef32d39d19604c949a28bceed477b69c69e83f14083fc324be573bd2b5b551b SHA1: 29c90ee2eaaff715a4fa50db2054b98ecb5b4a20 MD5sum: cc3e92caf6fb0a5b73ff6a3399298de4 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: amd64 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_amd64.deb Size: 29288 SHA256: 5f762d467cdc820419bcdad588621a34f58ccb84c3b0db73b6711c6a3c739546 SHA1: 38a200ad9847eefb6bc7a29f169b18757f68452b MD5sum: 3d8c8ed830ff362e94062e51c362306b 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: amd64 Maintainer: Debian GIS Project Installed-Size: 1268 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_amd64.deb Size: 408434 SHA256: f89fcebf7e9673f5a2a5c77a1c79809d4dd150d9c86239344f1b3a59ef6584b0 SHA1: b5c6b732b910251dec18b1c44a88f5f216e468ef MD5sum: 566e438b780c52d87df0539f35792511 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: amd64 Maintainer: Michael Hanke Installed-Size: 2796 Depends: kdelibs4c2a (>= 4:3.5.9), libc6 (>= 2.4), 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_amd64.deb Size: 796778 SHA256: a256627897df94f908ec979d8f045fa33e459d344487c5e4ec725170011994a7 SHA1: 94af1d24e7d1daedcfbb54d8f525b7667ede203c MD5sum: f34c885296e2939189871d339a62713b 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1636 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_amd64.deb Size: 383478 SHA256: a8f2700c847a103cdd27040e198f9bc5d1ab72ea71acc3ba819c481d283f15fe SHA1: c375db35ccff4bdab824f801b493d40676864fec MD5sum: 8338dea620afd80a7a3b95267e889d77 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 908 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_amd64.deb Size: 306010 SHA256: 4573938444ed0dede2261d57aaea10182b3663cee9110fbda688cff2031f0c51 SHA1: f746213609d54fd23272b7c02bb9416634126982 MD5sum: 79c61c7fa216957f2aae1dae1cc3d0e0 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 752 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_amd64.deb Size: 176686 SHA256: 0e9c69e899d0fb4bf412b938d65d9f1e161052603597a237bf8cd6833c482e1e SHA1: e67a5d873cb2be6a44cd276bb3dcd81efed888cd MD5sum: 33192cb4607472b8ae4ea840a9add6a0 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2276 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_amd64.deb Size: 575422 SHA256: e0f6b17542c89eb2dbd98d52db4600e76d95f9fbfc1fd4c95960d89c0bf2e49f SHA1: 4bf2594dab8ed124a19473fb5e97005ed02278bb MD5sum: 942aa3acd53723526866fd02dbef85e4 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1104 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_amd64.deb Size: 432290 SHA256: 35e1788dfc71e476967251c2b4d66fced54c29b40f1b8ef1bf8381f32e0b1d97 SHA1: 3d297da576bbb493be961de70f99ccf0b3dc29ac MD5sum: 88398e188747a359509eac049b614825 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: amd64 Maintainer: NeuroDebian Team Installed-Size: 260 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_amd64.deb Size: 65498 SHA256: 28d4662cf03652daa1be3af7e27b8709df015453eb7e57b8c36c6c89a1553774 SHA1: 1c63b66b71325871714c9e5074a7160103c006cc MD5sum: 13ffce78e35f94c98038dc026c483e34 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: amd64 Maintainer: NeuroDebian Team Installed-Size: 180 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_amd64.deb Size: 58244 SHA256: f90f71efae7014dd15fe4e6da2f80a56878426392fd8b6bf8b0f6c32c76afdc2 SHA1: 526f16878de8f8a18661f7865d5ebac1d46ff9a8 MD5sum: bf5c0692eabdadedb983cce61a7bc1dc 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: amd64 Maintainer: Debian GIS Project Installed-Size: 4976 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_amd64.deb Size: 1561702 SHA256: 7fb27e25250e11dcf4d3ee20453ff1ff5e6bbaaee2b8677fe34b71edc83b0af1 SHA1: 70a201e1284c02064fad901b22e52a1e464a6561 MD5sum: ba421d07c663b290c711b2e401f82da0 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: amd64 Maintainer: Debian GIS Project Installed-Size: 9904 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_amd64.deb Size: 1830308 SHA256: 5f2ce07c7e1a398218b369d809cf9c0f3287549a64ee1807fba1f3ab341e64c2 SHA1: 8c8ad22ba54e8f7acce61243482df3967c004585 MD5sum: 4638d31db1f55ff18915664934ba8d80 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: amd64 Maintainer: Debian GIS Project Installed-Size: 6204 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_amd64.deb Size: 2034994 SHA256: 4c517c4e37cd764efdb76c632fc4d1b503fe8b6b3cea9e554a71bbeb2d55ad59 SHA1: ce0e57fd1091bb053aafea2e3266ae0d1a02d173 MD5sum: 6f4685e16eb18ca285719497e60fad83 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: amd64 Maintainer: Debian GIS Project Installed-Size: 18080 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_amd64.deb Size: 2524936 SHA256: a03ec7e44115396cafa29f8d20b6e73ff445eacf336c0fcf63b790bb3ac48c3a SHA1: b6ca13a28975ce30b9adb4536de201e495d3377e MD5sum: 93c41fdcf37dda8d5ead96be94e05b07 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: amd64 Maintainer: Debian GIS Project Installed-Size: 5292 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_amd64.deb Size: 1644414 SHA256: cc7945a016b274435751dddec68c55caec6f08d527f47660e8805e99dfe6e22d SHA1: 1c1bb9376f161cec3a6d4a41177d83438ae8fb23 MD5sum: cdc21f735a28ebf57ecc9f83f8a98437 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: amd64 Maintainer: Debian GIS Project Installed-Size: 18080 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_amd64.deb Size: 2525886 SHA256: ffef9438912095b4f6afc3c5e7ffd3428638ca1ef5f9b7de512cfa8a71593751 SHA1: 3aabbb13a1d26c7d0754fd906de9f982b0152ada MD5sum: 60cfc4a17cbb5b9ff7673293739f9362 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: amd64 Maintainer: Debian GIS Project Installed-Size: 5596 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_amd64.deb Size: 1741112 SHA256: 76116ab8291215b90f96bd06bc2bad9e345c4a21c1db3bc983ea200ebed70859 SHA1: cf0d84d81b9dccc5468e4094bac874ecac6641fb MD5sum: 2031318d3ce7a6140a53328caae86c67 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: amd64 Maintainer: Debian GIS Project Installed-Size: 18600 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_amd64.deb Size: 2643168 SHA256: b1553d5ef4ffbfb27c985f5d06a0315ca0dad10b135a27c082eb9a9c23d545bc SHA1: eef1fd720c2c345e7abbd3411942c4a37f5f32f1 MD5sum: a6575eb76bffc917a0df23fa0e608772 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: amd64 Maintainer: NeuroDebian Team Installed-Size: 624 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_amd64.deb Size: 170488 SHA256: 22ab7934d1b65c1a186c60d78e91b921782b2b6f350bcd8988b0066d2106b343 SHA1: 38a5d6bf308031edfc98f6b0ad0583a937590f4e MD5sum: bc29d9392596d5a12b0f7b5718d010d3 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: amd64 Maintainer: Michael Hanke Installed-Size: 324 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_amd64.deb Size: 119906 SHA256: 318d7206547202c0fee87e8877362c315a88b483a134a3b6bd08c75b407df471 SHA1: 6df7bda48f415f1cfdf4c169f9e1d0c201f0f027 MD5sum: 77f39d763b5cdc0d3c21ce5c736502b0 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: amd64 Maintainer: Michael Hanke Installed-Size: 616 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_amd64.deb Size: 167942 SHA256: 765da5977337f1ebf0025fdf8c11a66037ed52f81efa3abb0efbc6c51b940475 SHA1: 60b65f29b34fd7993f1af4669edc3f0e7366e0da MD5sum: a1fe2fd52298818c63aacd8d13a79996 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: amd64 Maintainer: NeuroDebian Team Installed-Size: 336 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_amd64.deb Size: 122368 SHA256: aa4cdb23b1efe4f83b5cabb7fbab32fb6d822acd95cae5abda73ab41db92457b SHA1: d9ad0ec967433245ae283264669e79b116c88a1a MD5sum: 47fa19eba7fe841f09df3763446750b6 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: amd64 Maintainer: NeuroDebian Team Installed-Size: 21380 Homepage: http://od1n.sourceforge.net Priority: extra Section: libdevel Filename: pool/main/o/odin/libodin-dev_1.8.1-3~jaunty.nd1_amd64.deb Size: 4217142 SHA256: db2e87ee52e4f030f9cecad456bfdc4bcac8ac97dc8c10466e1385a15edfe23b SHA1: 7c993c7fe60e9463c1bcfba98abb3591a49840d3 MD5sum: 5fba8ffeede6996c8967b64094a9bace 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: amd64 Maintainer: Michael Hanke Installed-Size: 916 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_amd64.deb Size: 243472 SHA256: 34ad6d83fdac10cd65be3773c072c6b6016a09b47c3aeac996c59cc91984a441 SHA1: 1648884f89d7192270ae571352e7594e73a44350 MD5sum: 0543bb7d4d4e1e98cd353430c633eaf8 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: amd64 Maintainer: Michael Hanke Installed-Size: 492 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_amd64.deb Size: 190764 SHA256: 7151211ec25f781d1f2de02dffab3a4c5931c54684d1fd3f1166b563f6dede5e SHA1: 8f9a1d96ae079a53e88de8c5d144d358982e8684 MD5sum: 7678e76b4780c17502a00f40978383ad 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: amd64 Maintainer: Michael Hanke Installed-Size: 3960 Depends: libc6 (>= 2.4), 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_amd64.deb Size: 1342052 SHA256: 8f134e0814772ece58654ed799334cd3489a7a29bd00d38d50542dc4109d44e8 SHA1: d1f988763a0dafe3b22832f265ed3f2b15f7c185 MD5sum: 333c833297e4bf59a79630842a4c54e7 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: amd64 Maintainer: NeuroDebian Team Installed-Size: 6976 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_amd64.deb Size: 2399866 SHA256: 086f51d89e3eb0a0c6ec333e0eaaa8ce1d5fdd9df2d8c6ffb60d5d923e07d175 SHA1: cd7ef73d2746b21f68b1c494a3393b0ec5ca04ad MD5sum: fd5321be149086b2e396326720b806e2 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: amd64 Maintainer: Michael Hanke Installed-Size: 7288 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_amd64.deb Size: 2238000 SHA256: d4c4f676b8134a2ff823775df6c1cf07a3204d3933ebbaed6dd02979e755a72f SHA1: 13c1f7d029f2bbd3234a4d140dff2890e7c129fa MD5sum: 8dd727f2623982eea30d782d48038aa5 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: amd64 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_amd64.deb Size: 62564 SHA256: a7c90ff3dc146b6bd5cd168970c53372ee2ab74acf1b532672664aec6b8ebf8c SHA1: 6e873754d7e074dfbe25895e7f673007dfae53e5 MD5sum: 72b183318e19ac3fc59f198364d18cf8 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1644 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_amd64.deb Size: 594268 SHA256: 4d801eb2f318835de998de9ec0611b4ea457980802ca2a8bcc252a492b94afb8 SHA1: 32154a1123f69be8dac20c9e3fd604213332782b MD5sum: 21521632615a53eb8e461bc83c69bc44 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: amd64 Maintainer: NeuroDebian Team Installed-Size: 4140 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_amd64.deb Size: 1548276 SHA256: a5c3c931496f38ece3a474d4760ed36cb4f7bc2b49b98e4efe38c33f2fe6faba SHA1: ffc4cf0b1825796ad6a5a1763bd40834d364dc11 MD5sum: ad1f04aa6b959147588781ac08bdc5b2 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1036 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_amd64.deb Size: 338240 SHA256: ffd75627816cf986eeee16b9b43ab75737e46271c5c9c02760ccb24610435dae SHA1: acc51ebd0f040f33fdad42dbdbbc92dbebd5d775 MD5sum: 0d5bd912cd154f91ff7ee28385a75cb6 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 156 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_amd64.deb Size: 55086 SHA256: 3338de2c1414f3ce3bdcb19fd1a1ccdb84e462b055412734f081c4b6610fd294 SHA1: fc9ed0e598caf402b25265e257196c2ab8ed39b4 MD5sum: a88c3fe8772aef9b51cf210bc229c228 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1004 Depends: neurodebian-popularity-contest, python (<< 2.7), python (>= 2.5), python-support (>= 0.7.1), libc6 (>= 2.2.5) 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_amd64.deb Size: 161522 SHA256: 0decb393ba939454da09d04eda0f0441828445e8e57eff9c36124d7dbb054cff SHA1: 186e2fdececd5af15199f25a38cd5c16e09c292d MD5sum: 4db9d29520adc49f1767dc4d1b50c910 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, python-jinja2 (= 2.3.1-1~nd09.04+2), python-dbg, libc6 (>= 2.2.5) 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_amd64.deb Size: 24930 SHA256: 2c9dc5aa922007fe50f5cc596509b76f45ec394d3fe2d453510c0bf93ccc0ad9 SHA1: c948eff5706ad2b1ed2b0e68674827ca4ff4904e MD5sum: be5f90098ef8b1daf3b606c168c3ef23 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2188 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_amd64.deb Size: 723672 SHA256: 060c305c744307381c54838bcb4d547ae0ea8e69ba356c83b72aee7b8bfa896d SHA1: ccdd9d3bbcfa103f126f707a30593cd83bf066a8 MD5sum: f729e5acaafd9835b5fb42ba6f012342 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4300 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_amd64.deb Size: 1168534 SHA256: 5e9ed64195e40f1e6b1243f38d1a02fd2c1a045defc91a4be17b2a76b03a76f6 SHA1: de4c96fdd15840e008ed131c4076efff2589915d MD5sum: 7e59e6443cb7c5f482b80cea5a25a787 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 216 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_amd64.deb Size: 62204 SHA256: ead32c080ade3140155052859779517eafeca169cc3b62e3d4688ac209c7279c SHA1: 36af281d7945cb2390225926ffc01ce15aa448b0 MD5sum: 0b7b468e36fe485aa3b9627fc54075c9 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: amd64 Maintainer: Experimental Psychology Maintainers Installed-Size: 304 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_amd64.deb Size: 60420 SHA256: 0e6a177f3d648e42016eae341ec97539f45498aa1c3cd1c0e2faebbfd975fd94 SHA1: efd2bd443f3aa4e6ae04b5748d71d83dc7dbb02d MD5sum: e6d550587bf446eee05e92b99212b80e 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1448 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_amd64.deb Size: 362902 SHA256: 7e4e82978389ccaea9475c1a1ed02e2d848b5112ba90801d0aa855d639a824a3 SHA1: c3c6c557f45ca48949520ee82f8b3701bdc4d684 MD5sum: f313d95faba1aa5eacd6d317689cecd8 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: amd64 Maintainer: NeuroDebian Team Installed-Size: 2448 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_amd64.deb Size: 604158 SHA256: c948eb1fe1109e42151aa4b5c6a848a7e2f314ce3e4ddd0921f250e5093001f5 SHA1: 2c0272bee3208924398ab91bcba0ccefc9a85f22 MD5sum: 893d4addcacca50e317a699a3b92d037 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2436 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_amd64.deb Size: 909350 SHA256: cd2a2399e72b183baa83bb9918752d92988c0d146d974623bb1fa95e99c66731 SHA1: cc086cb3f6a9421b7d403dcf95916c0cc3702d1f MD5sum: 7c46fd8eed6c491ee090dae17d121cc5 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 520 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_amd64.deb Size: 211016 SHA256: c196e69f733f499f89b9996fe98d2ebdcda42791541f534afcfb46a22789bff0 SHA1: b2fcb622bf87e0bf34a795002147f5a6e953fe98 MD5sum: e55831a1a499b76820ef3f37df7e3897 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: amd64 Maintainer: Michael Hanke Installed-Size: 4984 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_amd64.deb Size: 2735096 SHA256: b0682183e883c01385db73fa1f98761daef04cdce9fef44fecb338b74c8d496c SHA1: 3986495d98fd2e0875e7823bd5f7f221d5683e68 MD5sum: a5d5224c6a56e91f86e85854f55aebe6 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: amd64 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_amd64.deb Size: 177954 SHA256: ba8b91888a8fc6f708f293c8aaa609a956bd39e9f4d21c8187f5407b02ddc1f8 SHA1: f5967bfc4388512400435aac4b96630f4612f493 MD5sum: 75f6fe8b538ca28b3d581820050f5bb2 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1884 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_amd64.deb Size: 690474 SHA256: 275055f838011af11ed45887ab09cdea5a01efbfcb91b9360f7d1688fb150a1e SHA1: a1874eae2fb8da98ccb56eefc2b9a27614852f4f MD5sum: acb8806e2f975ce146a5e8be5b0f34aa 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 14732 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_amd64.deb Size: 4914656 SHA256: a899e862f638552307548c48c7191f9c7e514dff38939fbf2125a270a99acea5 SHA1: e6384b9b48c3a640a2a0ec4f03a339fb3ef9a4ec MD5sum: 4e9ca93bac5c9d242754b696b31eef56 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: amd64 Maintainer: Michael Hanke Installed-Size: 1072 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_amd64.deb Size: 190264 SHA256: 8eaa26c2648dec30354023581a4989818b5e50acbace46fe9dfef68f633b6340 SHA1: 06785a8f5eac2934dba1d2e37071206f939aff2e MD5sum: d2eb4ea0096574951789b83497c5c1c7 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 9532 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_amd64.deb Size: 3570224 SHA256: 92b1d2d3991042685580a226d4b57b15f2e885d2962c9c472e580f28664deb6f SHA1: 55d46594b5bbb34dd88ee477cd1fb3981e914765 MD5sum: 0434f77f79538c8616fb30877455ae2e 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.