Package: arno-iptables-firewall
Version: 1.9.2.d-1~intrepid.nd1
Architecture: all
Maintainer: Michael Hanke <michael.hanke@gmail.com>
Installed-Size: 824
Depends: iptables (>= 1.2.11), gawk, debconf (>= 1.3.22) | cdebconf (>= 0.43), debconf (>= 0.5) | debconf-2.0
Recommends: iproute, 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.d-1~intrepid.nd1_all.deb
Size: 123620
SHA256: 7a951b6391796c386d7b53053dc549b54f2faa2c89e988e5bf38b2f38d15c82d
SHA1: 241c798a8689da81c97510dd00f9467c4553d9e7
MD5sum: 9836f2e568d2e23c8b55b31547505409
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: dicomnifti
Version: 2.28.14-1~intrepid.apsy1
Architecture: amd64
Maintainer: Michael Hanke <michael.hanke@gmail.com>
Installed-Size: 532
Depends: libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libnifti1 (>> 1.1.0-2), libstdc++6 (>= 4.2.1), zlib1g (>= 1:1.1.4)
Homepage: http://cbi.nyu.edu/software/dinifti.php
Priority: optional
Section: science
Filename: pool/main/d/dicomnifti/dicomnifti_2.28.14-1~intrepid.apsy1_amd64.deb
Size: 159478
SHA256: 20fa212edde65ff3be65bd6972b1602761d9febec958f119b93f7f747213c1f0
SHA1: 74a936f423fe2ec80eef9e6de9e87917027221fc
MD5sum: 54c6800f3bf5ee829debf27091efffbb
Description: converts DICOM files into the NIfTI format
The dinifti program converts MRI images stored in DICOM format to NIfTI
format. The NIfTI format is thought to be the new standard image format for
medical imaging and can be used with for example with FSL, AFNI, SPM, Caret
or Freesurfer.
.
dinifti converts single files, but also supports fully automatic batch
conversions of complete dicomdirs. Additionally, converted NIfTI files can
be properly named, using image series information from the DICOM files.
Package: epydoc-doc
Source: epydoc
Version: 3.0.1-4~intrepid.nd1
Architecture: all
Maintainer: Kenneth J. Pronovici <pronovic@debian.org>
Installed-Size: 15008
Recommends: iceweasel | www-browser
Priority: optional
Section: doc
Filename: pool/main/e/epydoc/epydoc-doc_3.0.1-4~intrepid.nd1_all.deb
Size: 1544776
SHA256: 561d90e7ab07a46ed84cffa9d57ac53f5976274424f75ac1c61cd87b970c1510
SHA1: ad5ce6d78bc14f9cf3d89a292b51c56e9858c896
MD5sum: 38cfb43524cf45e60188da8d29cc117a
Description: official documentation for the Epydoc package
Epydoc is a tool for generating API documentation for Python modules based on
their docstrings. A lightweight markup language called epytext can be used to
format docstrings and to add information about specific fields, such as
parameters and instance variables. Epydoc also understands docstrings written
in ReStructuredText, Javadoc, and plaintext.
.
This package contains the API reference and usage information for Epydoc, all
available through the Debian documentation system (dhelp, dwww, doc-central,
etc.) in the Devel section.
Package: fslview
Version: 3.1.2+4.1.5.2-1~intrepid.nd1
Architecture: amd64
Maintainer: Michael Hanke <michael.hanke@gmail.com>
Installed-Size: 4192
Depends: libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libnewmat10ldbl, libnifti1 (>> 1.1.0-2), 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_3.1.2+4.1.5.2-1~intrepid.nd1_amd64.deb
Size: 1524374
SHA256: 3786ec98370d3f7d4821123e9e889a5e2acd7f7d2598e424a24f4348af5674e3
SHA1: 7e5a4951c0449db9a0e05ad6c5f4d74dd33c3a96
MD5sum: 61fdadae2c3b2981fb430db97fb2f02c
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: 3.1.2+4.1.5.2-1~intrepid.nd1
Architecture: all
Maintainer: Michael Hanke <michael.hanke@gmail.com>
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_3.1.2+4.1.5.2-1~intrepid.nd1_all.deb
Size: 2378810
SHA256: a75f2d094f9946a20ed3d685ba9148df620c5cdadd76e7251b304bfdc03856d7
SHA1: c58639889fb8adb001a3980071915e79322839e5
MD5sum: 51f70297d91ed770fd239d2e8c6e7895
Description: Documentation for FSLView
This package provides the online documentation for FSLView.
.
FSLView is part of FSL.
Package: kbibtex
Version: 0.2.3-1~intrepid.nd1
Architecture: amd64
Maintainer: Michael Hanke <michael.hanke@gmail.com>
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~intrepid.nd1_amd64.deb
Size: 796812
SHA256: 982cb23cc1a5681aae7b6d93fd4625a68084f620a415959723c19e6778f82add
SHA1: 3e1114fcf79c0b36145fc23009eb2e9569282e6a
MD5sum: 7a87aebf551f632b32df101418043960
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: libjs-jquery
Version: 1.2.6-1~apsy.0
Architecture: all
Recommends: javascript-common
Conflicts: jquery
Replaces: jquery
Installed-Size: 240
Maintainer: Debian Javascript Maintainers <pkg-javascript-devel@lists.alioth.debian.org>
Source: jquery
Priority: optional
Section: web
Filename: pool/main/j/jquery/libjs-jquery_1.2.6-1~apsy.0_all.deb
Size: 65238
SHA256: fa858cf809b1885439cfb0d6e8ba64021a732b2e9b8493027f5d767973268d22
SHA1: 19177bbdd00962ac018ffa081149840aa7bbc469
MD5sum: 6dc346b0c5ffacbdf0e63f00d1f18485
Description: JavaScript library for dynamic web applications
jQuery is a fast, concise, JavaScript Library that simplifies how you
traverse HTML documents, handle events, perform animations, and add Ajax
interactions to your web pages. jQuery is designed to change the way
that you write JavaScript.
Package: libnifti-doc
Source: nifticlib
Version: 1.1.0-3~intrepid.apsy1
Architecture: all
Maintainer: Michael Hanke <michael.hanke@gmail.com>
Installed-Size: 1140
Homepage: http://niftilib.sourceforge.net
Priority: optional
Section: doc
Filename: pool/main/n/nifticlib/libnifti-doc_1.1.0-3~intrepid.apsy1_all.deb
Size: 171278
SHA256: b78c7adb796bbd90753b63d3924f23159c327301897059ff0ebc6ddee7949d91
SHA1: f12b0fb1e07f86181368d35745f9c3d356b14861
MD5sum: 7c6cbcff70e956b22e3bb2d0d8bd2290
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~intrepid.apsy1
Architecture: amd64
Maintainer: Michael Hanke <michael.hanke@gmail.com>
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~intrepid.apsy1_amd64.deb
Size: 119760
SHA256: 29f7f873e87c669223f0f2b886161674a0adc1113575908348e3a86049c27d11
SHA1: 297ea79544450a66b28741919bc83d5897a2dbc9
MD5sum: a14ef0b7628000622e4aa044ace8519a
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~intrepid.apsy1
Architecture: amd64
Maintainer: Michael Hanke <michael.hanke@gmail.com>
Installed-Size: 616
Depends: libnifti1 (= 1.1.0-3~intrepid.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~intrepid.apsy1_amd64.deb
Size: 167800
SHA256: 914af4d4dea4a5a6d9242e902cfba3b1ccab984945c10e5f8fffbc014d43a5e7
SHA1: 18b06700b0cd8e77ae4b5b8b20824ef09a2e22d8
MD5sum: c9cfacd7dd30f9b99e2d3268cc4c9da2
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: libodin-dev
Source: odin
Version: 1.8.0-1~intrepid.nd1
Architecture: amd64
Maintainer: Experimental Psychology Maintainers <pkg-exppsy-maintainers@lists.alioth.debian.org>
Installed-Size: 21148
Homepage: http://od1n.sourceforge.net
Priority: extra
Section: libdevel
Filename: pool/main/o/odin/libodin-dev_1.8.0-1~intrepid.nd1_amd64.deb
Size: 4066614
SHA256: 41cf13ed2106e464f8ce71cc567d1522f23d5a4339615ce2dfc76f7abf64f1ca
SHA1: 142fefd307edcac59297b986676d1d3bea2be330
MD5sum: 1c4755d05962850bf7096b1d6a447fae
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~intrepid.nd1
Architecture: amd64
Maintainer: Michael Hanke <michael.hanke@gmail.com>
Installed-Size: 916
Depends: libvia0 (= 1.6.0-2~intrepid.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~intrepid.nd1_amd64.deb
Size: 243456
SHA256: 03e67c6c13dfb07dc6a5437f862177d1ed83554d6831a0ec2f13d754a9fe245e
SHA1: 41ce936ce36fc36ae0fc565b2fb23f0d8eec33a2
MD5sum: 78d55097879cf5afe896855d8b577e19
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~intrepid.nd1
Architecture: all
Maintainer: Michael Hanke <michael.hanke@gmail.com>
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~intrepid.nd1_all.deb
Size: 111168
SHA256: 5c1e3644ed0d203297cb3f3586fa1c371e4a1b1f1d097d5ff56e08e715da3892
SHA1: 39f6c30ca1bb73c3b770b12152a4f34b04cb51c2
MD5sum: 209632ad5513801d1d269ecd257fe78e
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~intrepid.nd1
Architecture: amd64
Maintainer: Michael Hanke <michael.hanke@gmail.com>
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~intrepid.nd1_amd64.deb
Size: 190764
SHA256: 3865e76a82356dc6814ac2305c0677891e37ea289e04ad6824595f3cb081b1bf
SHA1: 9c6994625f96936f2abd214a83ee53fb09f7ae19
MD5sum: d2aff84029b4c4a44950075e617eb435
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: 1.6.0-3~intrepid.nd1
Architecture: amd64
Maintainer: Michael Hanke <michael.hanke@gmail.com>
Installed-Size: 3952
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), libnifti1 (>> 1.1.0-2), 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_1.6.0-3~intrepid.nd1_amd64.deb
Size: 1334844
SHA256: 984a953786b3dd918a646662559efccf56b934b26a3131a0032badf0db37e761
SHA1: 9f20bd4be42abedc18504a37dec0d2db18bbdaf7
MD5sum: f2de1591b6d393e9394dc55d0e206be1
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 effcient
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 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: 1.6.0-3~intrepid.nd1
Architecture: all
Maintainer: Michael Hanke <michael.hanke@gmail.com>
Installed-Size: 7004
Homepage: http://www.cbs.mpg.de/institute/software/lipsia
Priority: optional
Section: doc
Filename: pool/main/l/lipsia/lipsia-doc_1.6.0-3~intrepid.nd1_all.deb
Size: 5533894
SHA256: 4126dd2fde3203dec5587a738826e1dd7c64635e6188f1a8432a0ae3d8a799dc
SHA1: ef8d6a7cb9d48987eb3b8d8a470ccb65dbc57545
MD5sum: 4cb6097be67be81abfad03f65e0c2253
Description: documentation for LIPSIA
Leipzig Image Processing and Statistical Inference Algorithms (LIPSIA)
.
This package provides the LIPSIA documentation in HTML format.
Package: mitools
Source: odin
Version: 1.8.0-1~intrepid.nd1
Architecture: amd64
Maintainer: Experimental Psychology Maintainers <pkg-exppsy-maintainers@lists.alioth.debian.org>
Installed-Size: 6816
Depends: libblitz0ldbl (>= 0.9), libc6 (>= 2.7), libdcmtk1 (>= 3.5.4), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), libnifti1 (>> 1.1.0-2), liboil0.3 (>= 0.3.10), libpng12-0 (>= 1.2.13-4), libqtcore4 (>= 4.4.3), libqtgui4 (>= 4.4.3), 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_1.8.0-1~intrepid.nd1_amd64.deb
Size: 2255856
SHA256: 37d6bb7e96178c9bd74fa3043ba653ca974eb386d03f7dd2454fde62ce37de51
SHA1: e3a8aa5cb518749060e824bac3fc0f8116ba9374
MD5sum: ec8fd922108bb947f087ff5f5b53da67
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: nifti-bin
Source: nifticlib
Version: 1.1.0-3~intrepid.apsy1
Architecture: amd64
Maintainer: Michael Hanke <michael.hanke@gmail.com>
Installed-Size: 196
Depends: libc6 (>= 2.4), libnifti1 (>> 1.1.0-2)
Homepage: http://niftilib.sourceforge.net
Priority: optional
Section: utils
Filename: pool/main/n/nifticlib/nifti-bin_1.1.0-3~intrepid.apsy1_amd64.deb
Size: 62364
SHA256: 988786bb4952154bcebf30e00d3892af68192aaf4342ff0f0fac299114af0cc0
SHA1: 1573584980636b22d587dd076afb28bddeb26be9
MD5sum: 79d17527140b964f381b90531f7f3f4b
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 <team@neuro.debian.net>
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 <team@neuro.debian.net>
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: odin
Version: 1.8.0-1~intrepid.nd1
Architecture: amd64
Maintainer: Experimental Psychology Maintainers <pkg-exppsy-maintainers@lists.alioth.debian.org>
Installed-Size: 3972
Depends: libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libqtcore4 (>= 4.4.3), libqtgui4 (>= 4.4.3), libstdc++6 (>= 4.2.1), libvtk5, mitools (= 1.8.0-1~intrepid.nd1), libodin-dev, libgsl0-dev, libc6-dev | libc-dev, g++, 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_1.8.0-1~intrepid.nd1_amd64.deb
Size: 1511050
SHA256: cfaabefda9ec6bdd8f03b097dbfe2e452fc546a800b7254c0503c2d3f4603358
SHA1: 2cde80b4853ae54b0f00ba225aa65d24044c4cb3
MD5sum: 6a6a8e911f453203670f05de67b2d5ee
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~intrepid.nd1
Architecture: all
Maintainer: Experimental Psychology Maintainers <pkg-exppsy-maintainers@lists.alioth.debian.org>
Installed-Size: 92
Depends: python, python-pyssdh (= 0.0.svn143-1~intrepid.nd1)
Homepage: http://neuralensemble.org/trac/OpenElectrophy
Priority: extra
Section: science
Filename: pool/main/o/openelectrophy/openelectrophy_0.0.svn143-1~intrepid.nd1_all.deb
Size: 34360
SHA256: 693ec835ea374f46b79fc2035933a73511eefd08fb60caf47777a0f8041ea51a
SHA1: 1d970e0f4ba75b684802cac0f7c7efa58adbb5ab
MD5sum: 412554b3eb401ce7707836e003a22759
Description: data analysis framework for intra- and extra-cellular recordings
This software aims to simplify data and analysis sharing for intra- and
extra-cellular recordings. It supports time frequency plots, spike detection,
spike rate calculation, and analysis of phase locked signals.
.
Data handling and storage utilizes a MySQL database, allowing to handle large
amounts of data easily and efficiently. Therefore, a MySQL server running
locally or on a remote machine is required.
.
This package provides the OpenElectrophy GUI.
Package: psychopy
Version: 1.51.00.dfsg-1~intrepid.nd1
Architecture: all
Maintainer: Experimental Psychology Maintainers <pkg-exppsy-maintainers@lists.alioth.debian.org>
Installed-Size: 2412
Depends: python (>= 2.4), python-support (>= 0.7.1), python-pygame | python-pyglet, python-opengl, python-numpy, python-matplotlib, python-lxml
Recommends: python-wxgtk2.8, python-imaging, python-serial, python-scipy, libavbin0
Suggests: python-pyepl
Homepage: http://www.psychopy.org
Priority: optional
Section: science
Filename: pool/main/p/psychopy/psychopy_1.51.00.dfsg-1~intrepid.nd1_all.deb
Size: 1003170
SHA256: cb8f87b4e538c93e29333d58343f30de85ff3863c4a24e895c35e7f03dc9a891
SHA1: ef0185baf7831760502c325255955daa67e9d777
MD5sum: bb72ed9ca4242e8098f0ac16d6ac73af
Description: environment for creating psychology stimuli in Python
PsychoPy provides an environment for creating psychology stimuli
using Python scripting language. It combines the graphical
strengths of OpenGL with easy Python syntax to give psychophysics
a free and simple stimulus presentation and control package.
.
The goal is to provide, for the busy scientist, tools to control
timing and windowing and a simple set of pre-packaged stimuli and
methods. PsychoPy features
- High-level powerful scripting language (Python)
- Simple syntax
- Use of hardware-accelerated graphics (OpenGL)
- Integration with Spectrascan PR650 for easy monitor calibration
- Simple routines for staircase and constant stimuli experimental
methods as well as curve-fitting and bootstrapping
- Simple (or complex) GUIs via wxPython
- Easy interfaces to joysticks, mice, sound cards etc. via PyGame
- Video playback (MPG, DivX, AVI, QuickTime, etc.) as stimuli
Python-Version: 2.4, 2.5
Package: python-epydoc
Source: epydoc
Version: 3.0.1-4~intrepid.nd1
Architecture: all
Maintainer: Kenneth J. Pronovici <pronovic@debian.org>
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~intrepid.nd1_all.deb
Size: 267060
SHA256: 28fbb77b6b6b6af37963b15a6cce4c41b31547db3310c10875a234893088fdde
SHA1: 1fe020c9d672bbad6bd5a3580db8355180a08cf5
MD5sum: 4a25806ee04781f8a35181016a9daf8f
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-griddata
Source: griddata
Version: 0.1.2-1~intrepid.apsy1
Architecture: amd64
Maintainer: Michael Hanke <michael.hanke@gmail.com>
Installed-Size: 268
Depends: libc6 (>= 2.4), python (<< 2.6), python (>= 2.4), python-support (>= 0.7.1), python-numpy, python-numpy-ext
Recommends: python-matplotlib
Provides: python2.4-griddata, python2.5-griddata
Homepage: http://code.google.com/p/griddata-python/
Priority: optional
Section: python
Filename: pool/main/g/griddata/python-griddata_0.1.2-1~intrepid.apsy1_amd64.deb
Size: 71512
SHA256: cc4eb9b924a8905e8261b34569f127ae77b34ec6cdbf432c647960c4a6bf5a2a
SHA1: b369519d77dc751f9618cebb4986969e6974524f
MD5sum: 03e46c228303ab85b6793320109b9c1a
Description: Python function to interpolate irregularly spaced data to a grid
This module provides a single function, 'griddata', that fits a surface
to nonuniformly spaced data points. It behaves basically like its equivalent
in Matlab.
Python-Version: 2.4, 2.5
Package: python-hcluster
Source: hcluster
Version: 0.2.0-1~intrepid.apsy1
Architecture: amd64
Maintainer: Michael Hanke <michael.hanke@gmail.com>
Installed-Size: 416
Depends: libc6 (>= 2.2.5), python (<< 2.6), python (>= 2.4), python-support (>= 0.7.1), python-numpy, python-numpy-ext, python-ctypes
Recommends: python-matplotlib
Provides: python2.4-hcluster, python2.5-hcluster
Homepage: http://code.google.com/p/scipy-cluster/
Priority: optional
Section: python
Filename: pool/main/h/hcluster/python-hcluster_0.2.0-1~intrepid.apsy1_amd64.deb
Size: 92654
SHA256: b704c9ff54da54a441b4cc54ac245de4808f172d3041f83e1cc8f5911a598201
SHA1: cafb33728b3647c5c14a5a0616eeb0653d7d20c3
MD5sum: afe3abcc2c0c59e5ff52d2324e9d5c9b
Description: Python functions for agglomerative clustering
The module's features include:
.
* computing distance matrices from observation vectors
* generating hierarchical clusters from distance matrices
* computing statistics on clusters
* cutting linkages to generate flat clusters
* visualizing clusters with dendrograms
.
The interface is very similar to MATLAB's Statistics Toolbox API.
The core implementation of this library is in C for efficiency.
Python-Version: 2.4, 2.5
Package: python-jinja2
Source: jinja2
Version: 2.1.1-2~bpo50+1~intrepid.nd1
Architecture: amd64
Maintainer: Piotr Ożarowski <piotr@debian.org>
Installed-Size: 512
Depends: python (<< 2.6), python (>= 2.4), python-support (>= 0.7.1), libc6 (>= 2.2.5)
Recommends: python-pkg-resources, python-pybabel
Suggests: python-jinja2-doc
Provides: python2.4-jinja2, python2.5-jinja2
Homepage: http://jinja.pocoo.org/2/
Priority: optional
Section: python
Filename: pool/main/j/jinja2/python-jinja2_2.1.1-2~bpo50+1~intrepid.nd1_amd64.deb
Size: 76832
SHA256: f10c4c4f9fa362c259a73031b410ce09dd2a7f0c1584813cf7563017e8381a42
SHA1: bf91a195bf828cdc041e47f8cacf2be0cd42c4cd
MD5sum: 61e6dad011384acda322a091702e3987
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: 2.4, 2.5
Package: python-jinja2-dbg
Source: jinja2
Version: 2.1.1-2~bpo50+1~intrepid.nd1
Architecture: amd64
Maintainer: Piotr Ożarowski <piotr@debian.org>
Installed-Size: 196
Depends: python-jinja2 (= 2.1.1-2~bpo50+1~intrepid.nd1), python-dbg, libc6 (>= 2.2.5)
Provides: python2.4-jinja2-dbg, python2.5-jinja2-dbg
Homepage: http://jinja.pocoo.org/2/
Priority: extra
Section: python
Filename: pool/main/j/jinja2/python-jinja2-dbg_2.1.1-2~bpo50+1~intrepid.nd1_amd64.deb
Size: 24964
SHA256: 8ab9058f62b4154f1748a99375aa751497d7b8e0a1e6cb200a56afb2fd281f76
SHA1: 83e7da6000dbfa56374d697ddc56291168c9a4fc
MD5sum: c17d175257a7b075aca38913a0708257
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: 2.4, 2.5
Package: python-jinja2-doc
Source: jinja2
Version: 2.1.1-2~bpo50+1~intrepid.nd1
Architecture: all
Maintainer: Piotr Ożarowski <piotr@debian.org>
Installed-Size: 968
Depends: libjs-jquery
Recommends: python-jinja2
Homepage: http://jinja.pocoo.org/2/
Priority: extra
Section: doc
Filename: pool/main/j/jinja2/python-jinja2-doc_2.1.1-2~bpo50+1~intrepid.nd1_all.deb
Size: 211302
SHA256: 2ccb2aa0f923ae8e649c43c40cad9971f97112375343c0940f95600ead1165f2
SHA1: dd627a39bb16153d76a2e46a1fe632c1a73c087a
MD5sum: 5467fcff16e2282a880b86e9e1993523
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-mdp
Source: mdp
Version: 2.5-1~intrepid.nd1
Architecture: all
Maintainer: Yaroslav Halchenko <debian@onerussian.com>
Installed-Size: 944
Depends: python (>= 2.4), python-support (>= 0.7.1), python-numpy
Recommends: python-scipy
Suggests: python-pp
Homepage: http://mdp-toolkit.sourceforge.net/
Priority: optional
Section: python
Filename: pool/main/m/mdp/python-mdp_2.5-1~intrepid.nd1_all.deb
Size: 172326
SHA256: f6a33c38e176c1138228b177ef0e2fea7e6ad6ac151484f5c09ca2ac842610a7
SHA1: bed32c925b7c393e79a1caa515540f3f6d6c8ebb
MD5sum: 771fae97c74c33078ccb2cf657902987
Description: Modular toolkit for Data Processing
Python data processing framework. Implemented algorithms include:
Principal Component Analysis (PCA), Independent Component Analysis
(ICA), Slow Feature Analysis (SFA), Independent Slow Feature Analysis (ISFA),
Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA),
and Gaussian Classifiers.
Package: python-mvpa
Source: pymvpa
Version: 0.4.3-1~intrepid.nd1
Architecture: all
Maintainer: Experimental Psychology Maintainers <pkg-exppsy-maintainers@lists.alioth.debian.org>
Installed-Size: 4068
Depends: python (>= 2.4), python-support (>= 0.7.1), python-numpy, python-mvpa-lib (>= 0.4.3-1~intrepid.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
Provides: python2.4-mvpa, python2.5-mvpa
Homepage: http://www.pymvpa.org
Priority: optional
Section: python
Filename: pool/main/p/pymvpa/python-mvpa_0.4.3-1~intrepid.nd1_all.deb
Size: 2140906
SHA256: 2c8c89a3dc7ef27d2247ef2cce8b32832c9c0b911b7c3e709dd6686229cf3a28
SHA1: 4bffeeb54603c248e3c29510d4b305868e6e1bbb
MD5sum: bf93de8bc2c6e33b9a9f9169c2067b1d
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.
Python-Version: 2.4, 2.5
Package: python-mvpa-doc
Source: pymvpa
Version: 0.4.3-1~intrepid.nd1
Architecture: all
Maintainer: Experimental Psychology Maintainers <pkg-exppsy-maintainers@lists.alioth.debian.org>
Installed-Size: 44364
Depends: libjs-jquery
Suggests: python-mvpa
Homepage: http://www.pymvpa.org
Priority: optional
Section: doc
Filename: pool/main/p/pymvpa/python-mvpa-doc_0.4.3-1~intrepid.nd1_all.deb
Size: 11556116
SHA256: 89b466a5c611e5b27df055bcec746e98a053589c3f55e44be82635f7a5f748b3
SHA1: 6a2541abe8eee78f72ab7d81a338fd555caedb39
MD5sum: 81703baf4e69819bfc5836e21afd5163
Description: documention and examples for PyMVPA
PyMVPA documentation in various formats (HTML, TXT, PDF) including
* User manual
* Developer guidelines
* API documentation
.
Additionally, all example scripts shipped with the PyMVPA sources are
included.
Package: python-mvpa-lib
Source: pymvpa
Version: 0.4.3-1~intrepid.nd1
Architecture: amd64
Maintainer: Experimental Psychology Maintainers <pkg-exppsy-maintainers@lists.alioth.debian.org>
Installed-Size: 304
Depends: libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libsvm2, python (<< 2.6), python (>= 2.4), python-support (>= 0.7.1), python-numpy, python-ctypes (>= 1.0.1) | python (>= 2.5)
Provides: python2.4-mvpa-lib, python2.5-mvpa-lib
Homepage: http://www.pymvpa.org
Priority: optional
Section: python
Filename: pool/main/p/pymvpa/python-mvpa-lib_0.4.3-1~intrepid.nd1_amd64.deb
Size: 59852
SHA256: 9576d79b4bfc78a8637b5f0be263c447cd75b69e15133d0e84af485ca3ab0a14
SHA1: c190df84582fa2638978f1c4af92d735d3af0827
MD5sum: eec6158bc247bfe31a20417f6b58ddd8
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: 2.4, 2.5
Package: python-mvpa-snapshot
Source: pymvpa-snapshot
Version: 0.5.0.dev+783+gde39-1~intrepid.nd1
Architecture: all
Maintainer: Experimental Psychology Maintainers <pkg-exppsy-maintainers@lists.alioth.debian.org>
Installed-Size: 4416
Depends: python (>= 2.4), python-support (>= 0.7.1), python-numpy, python-mvpa-snapshot-lib (>= 0.5.0.dev+783+gde39-1~intrepid.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: python2.4-mvpa-snapshot, python2.5-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~intrepid.nd1_all.deb
Size: 2214468
SHA256: e642eb4f909fe69fc23a535684e6d08091cf29d9b96b6795024e543c01a01d5e
SHA1: c6ddd6a72a636cc30b9f2bee335d939a00fcfe72
MD5sum: 308911cdeb5e12f16cdb97eba6dc1329
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: 2.4, 2.5
Package: python-mvpa-snapshot-lib
Source: pymvpa-snapshot
Version: 0.5.0.dev+783+gde39-1~intrepid.nd1
Architecture: amd64
Maintainer: Experimental Psychology Maintainers <pkg-exppsy-maintainers@lists.alioth.debian.org>
Installed-Size: 308
Depends: libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libsvm2, python (<< 2.6), python (>= 2.4), python-support (>= 0.7.1), python-numpy
Conflicts: python-mvpa-lib
Provides: python2.4-mvpa-snapshot-lib, python2.5-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~intrepid.nd1_amd64.deb
Size: 60764
SHA256: 60aedee748b597dcf6d949f23fe8fa0f777be1ac444c44270d6a625781a1877c
SHA1: 0777fbe29d86665f82bf64b3d7bebf1e3251a993
MD5sum: 67f3f89178a0bbd37731955b031141bf
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: 2.4, 2.5
Package: python-networkx
Version: 1.0.1-0.1~intrepid.nd1
Architecture: all
Maintainer: Cyril Brulebois <kibi@debian.org>
Installed-Size: 1976
Depends: python (>= 2.4), python-support (>= 0.7.1)
Recommends: python-numpy, python-scipy, python-pygraphviz | python-pydot, python-pkg-resources, python-matplotlib, python-yaml
Homepage: https://networkx.lanl.gov/
Priority: optional
Section: python
Filename: pool/main/p/python-networkx/python-networkx_1.0.1-0.1~intrepid.nd1_all.deb
Size: 537010
SHA256: b28f92b8ac4e4267d29b649d0fa40d12923f4e3178da4eed1150d88b2a32b0db
SHA1: 59e4b4b4633070a5c1de01336d28d0cf3f1e056f
MD5sum: 5a2f588836553fa95128c0999803ea58
Description: tool to manipulate and study more than complex networks
NetworkX is a Python-based package for the creation, manipulation, and
study of the structure, dynamics, and functions of complex networks.
.
The structure of a graph or network is encoded in the edges (connections,
links, ties, arcs, bonds) between nodes (vertices, sites, actors). If
unqualified, by graph we mean a simple undirected graph, i.e. no
self-loops and no multiple edges are allowed. By a network we usually
mean a graph with weights (fields, properties) on nodes and/or edges.
.
The potential audience for NetworkX includes: mathematicians, physicists,
biologists, computer scientists, social scientists.
Package: python-nifti
Source: pynifti
Version: 0.20100412.1-1~intrepid.nd1
Architecture: amd64
Maintainer: Michael Hanke <michael.hanke@gmail.com>
Installed-Size: 1512
Depends: libc6 (>= 2.4), libnifti1 (>> 1.1.0-2), python (<< 2.6), python (>= 2.4), python-support (>= 0.7.1), python-numpy, python-numpy-ext, libjs-jquery
Provides: python2.4-nifti, python2.5-nifti
Homepage: http://niftilib.sourceforge.net/pynifti/
Priority: optional
Section: python
Filename: pool/main/p/pynifti/python-nifti_0.20100412.1-1~intrepid.nd1_amd64.deb
Size: 361518
SHA256: 848331c57c0f11b214c4b30b823541e15e751f8cc9666672d330b4eed36bf990
SHA1: a7098d4a4d3c2d90a08dbe8cd7ee7b9443cbb221
MD5sum: a3566725df574a62ff4d53c71087f418
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: 2.4, 2.5
Package: python-openopt
Source: openopt
Version: 0.25+svn291-1~intrepid.nd1
Architecture: all
Maintainer: Yaroslav Halchenko <debian@onerussian.com>
Installed-Size: 1196
Depends: python (>= 2.5), python-central (>= 0.6.7), 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
Homepage: http://www.openopt.org
Priority: extra
Section: python
Filename: pool/main/o/openopt/python-openopt_0.25+svn291-1~intrepid.nd1_all.deb
Size: 153000
SHA256: c24c871de2015c5192a519071b81287a01f71a71c95c13e0fe2fc79258f5c0ca
SHA1: d4066eade34b61521161061b9656fd2b7f84ed9f
MD5sum: 346d1ebde731713c50da4628654bdc0c
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-pyssdh
Source: openelectrophy
Version: 0.0.svn143-1~intrepid.nd1
Architecture: all
Maintainer: Experimental Psychology Maintainers <pkg-exppsy-maintainers@lists.alioth.debian.org>
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: python2.4-pyssdh, python2.5-pyssdh
Homepage: http://neuralensemble.org/trac/OpenElectrophy
Priority: extra
Section: python
Filename: pool/main/o/openelectrophy/python-pyssdh_0.0.svn143-1~intrepid.nd1_all.deb
Size: 119332
SHA256: 5a4fdcb20f2252b433043fc03ff9b8480d4466c2afb6a6a7029b4abbc777999a
SHA1: 8435527e9afc592017950415e1f6cb765215d399
MD5sum: 86091a280f0f2ea6449d2107e9fc154f
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: 2.4, 2.5
Package: python-sphinx
Source: sphinx
Version: 0.6.3-1~bpo50+1~intrepid.nd1
Architecture: all
Maintainer: Mikhail Gusarov <dottedmag@dottedmag.net>
Installed-Size: 2904
Depends: python (>= 2.4), python-support (>= 0.7.1), python-docutils, python-pygments (>= 0.8), python-jinja2 (>= 2.1), 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_0.6.3-1~bpo50+1~intrepid.nd1_all.deb
Size: 527140
SHA256: 4418c4a344088c7d878ac926cf4720e2804810ef63f441b1c32ebd14adebe393
SHA1: c099c0e58c93eb570e66a9ee8eede0f888f54269
MD5sum: f69b7a17220397e5915994060a9bdda4
Description: tool for producing documentation for Python projects
Sphinx is a tool for producing documentation for Python projects, using
reStructuredText as markup language.
.
Sphinx features:
* HTML, CHM, LaTeX output,
* Cross-referencing source code,
* Automatic indices,
* Code highlighting, using Pygments,
* Extensibility. Existing extensions:
- automatic testing of code snippets,
- including doctrings from Python modules.
Package: qlandkarte
Source: qlandkartegt
Version: 0.16.0-1~intrepid.nd1
Architecture: all
Maintainer: Michael Hanke <michael.hanke@gmail.com>
Installed-Size: 32
Depends: qlandkartegt
Homepage: http://www.qlandkarte.org
Priority: optional
Section: x11
Filename: pool/main/q/qlandkartegt/qlandkarte_0.16.0-1~intrepid.nd1_all.deb
Size: 2588
SHA256: 0e710474ef8189533783f471d831d11309408c8310f742b61ce075afc59cca8e
SHA1: ce767179fd66f164ab573be2948e28e1c60405ea
MD5sum: 8dea95607c08bad783f4a20ddb6903fd
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~intrepid.nd1
Architecture: amd64
Maintainer: Michael Hanke <michael.hanke@gmail.com>
Installed-Size: 4988
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 (>= 4.4.3), libqt4-opengl (>= 4.4.3), libqt4-sql (>= 4.4.3), libqt4-xml (>= 4.4.3), libqtcore4 (>= 4.4.3), libqtgui4 (>= 4.4.3), 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~intrepid.nd1_amd64.deb
Size: 2739116
SHA256: d037dfbba820a71bb5d4c4e9954ae5d542a4d0f4ec4e08715c3e002990760774
SHA1: 973fe234421da429c400bf5119ad08f88a6a26cd
MD5sum: 9786d5d857a08ceb4b89e6a63fbf4848
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~intrepid.nd1
Architecture: amd64
Maintainer: Michael Hanke <michael.hanke@gmail.com>
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~intrepid.nd1_amd64.deb
Size: 178052
SHA256: 288000ea865c0e2717c263e960086462bea0eb68bd3649503a580e3e5de4cab1
SHA1: 7876b901e4cb0f8f4dc0ee94cd31992a84e02b7e
MD5sum: a91aafe966696652a922ac38615c8541
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: 8.4010~dfsg.1-3
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 21124
Recommends: spm8-data, spm8-doc
Priority: extra
Section: science
Filename: pool/main/s/spm8/spm8-common_8.4010~dfsg.1-3_all.deb
Size: 10086746
SHA256: 420af58742ffd8d712777d84e1b5cab7f62ffa60cc53d3cac35747af68fd57c7
SHA1: 30c639e67be5083685f97306730b186ee4b2c063
MD5sum: 89daeb63df29035e31b49719d63eb4ba
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: 8.4010~dfsg.1-3
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 73316
Priority: extra
Section: science
Filename: pool/main/s/spm8/spm8-data_8.4010~dfsg.1-3_all.deb
Size: 52168426
SHA256: a33f373c13f9142a6d423af68ff01331166451c04e51192472cc1736190706bf
SHA1: 4b9731f75628adf68a2e892314976c892bf0e9cb
MD5sum: e5f7efb634ddadfc7f5387d930f62872
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: 8.4010~dfsg.1-3
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 11288
Priority: extra
Section: doc
Filename: pool/main/s/spm8/spm8-doc_8.4010~dfsg.1-3_all.deb
Size: 10423480
SHA256: bc4fffabe5ca9a2080d9a2532ade99a53a6c634dddf0c74b2effb107c1c28bff
SHA1: 24a099d5790918edb44830153cea6c45a2d6f206
MD5sum: 1bfc3e98c3e6d7026ceafa67d7182426
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: svgtune
Version: 0.1.0-2
Architecture: all
Maintainer: Yaroslav Halchenko <debian@onerussian.com>
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: swig
Source: swig1.3
Version: 1.3.40-2~intrepid.nd1
Architecture: amd64
Maintainer: Torsten Landschoff <torsten@debian.org>
Installed-Size: 5216
Depends: libc6 (>= 2.8~20080505), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4)
Suggests: swig-examples, swig-doc
Replaces: swig1.3
Priority: optional
Section: interpreters
Filename: pool/main/s/swig1.3/swig_1.3.40-2~intrepid.nd1_amd64.deb
Size: 1242410
SHA256: 141353d3aeec74e9b73b78c377c37b6876b788f2bcf324cff77afe9e506d32a4
SHA1: 60d5f222899daea838f85e39538f33bb4567c772
MD5sum: 294fb9d0eb93e1862055a418475169a7
Description: Generate scripting interfaces to C/C++ code
SWIG is a compiler that makes it easy to integrate C and C++ code
with other languages including Perl, PHP, Tcl, Ruby, Python, Java,
Guile, Mzscheme, Chicken, OCaml, Pike, and C#.
.
Swig takes a set of ANSI C/C++ declarations and generates an
interface for them to your favorite scripting language.
Package: swig-doc
Source: swig1.3
Version: 1.3.40-2~intrepid.nd1
Architecture: all
Maintainer: Torsten Landschoff <torsten@debian.org>
Installed-Size: 5956
Suggests: swig
Replaces: swig1.3-doc
Priority: optional
Section: doc
Filename: pool/main/s/swig1.3/swig-doc_1.3.40-2~intrepid.nd1_all.deb
Size: 2298848
SHA256: 997b91b92b2b1fcffaed5f3175e2a965400956bb0034956b697172d14d9b6710
SHA1: 96642f498cb8d8ea62e6dcec57530e986a04157d
MD5sum: 241aac7bfd415c001a401cce7be6311b
Description: HTML documentation for SWIG
Contains the users' and developers' manuals for SWIG (Simplified
Wrapper Interface Generator) 1.3 in HTML format.
Package: swig-examples
Source: swig1.3
Version: 1.3.40-2~intrepid.nd1
Architecture: all
Maintainer: Torsten Landschoff <torsten@debian.org>
Installed-Size: 12552
Depends: swig
Replaces: swig1.3-examples
Priority: optional
Section: interpreters
Filename: pool/main/s/swig1.3/swig-examples_1.3.40-2~intrepid.nd1_all.deb
Size: 1010928
SHA256: 26b318d8706b62ad883a358f55a599d08d74e9e46b1da86ec825e93abcf2c941
SHA1: 936477339d3fde796c9bb7f17287d118b166caeb
MD5sum: 9c50c87e4f827ff579794483f047eade
Description: Examples for applications of SWIG
Contains examples for applications of SWIG, a wrapper interface
generator to integrate C code into scripting languages.
Package: swig1.3
Version: 1.3.40-2~intrepid.nd1
Architecture: amd64
Maintainer: Torsten Landschoff <torsten@debian.org>
Installed-Size: 40
Depends: swig (>= 1.3.0)
Priority: optional
Section: interpreters
Filename: pool/main/s/swig1.3/swig1.3_1.3.40-2~intrepid.nd1_amd64.deb
Size: 11432
SHA256: 96c0594c179337e1611993f98be4643a67551300cf3fbc216941503498acb937
SHA1: f5fa3c1cfa123c8388d147c45e39c1be5e0df13f
MD5sum: 0c682ac5bd395802ee87aba2c1e18f9b
Description: Generate scripting interfaces to C/C++ code
SWIG is a compiler that makes it easy to integrate C and C++ code
with other languages including Perl, PHP, Tcl, Ruby, Python, Java,
Guile, Mzscheme, Chicken, OCaml, Pike, and C#.
.
This is just an upgrade convenience package. For the real stuff
look at the swig package.
Package: swig1.3-doc
Source: swig1.3
Version: 1.3.40-2~intrepid.nd1
Architecture: all
Maintainer: Torsten Landschoff <torsten@debian.org>
Installed-Size: 40
Depends: swig-doc
Suggests: swig
Priority: optional
Section: doc
Filename: pool/main/s/swig1.3/swig1.3-doc_1.3.40-2~intrepid.nd1_all.deb
Size: 11284
SHA256: be73ed4e84d760de36b499250efeddb409352c87afe3b4985d7068f02e4782eb
SHA1: 340bd0b2b9abb098520e8c2153d2493b641328dd
MD5sum: fa4750f1f9c192805f18c3f430b8de6a
Description: HTML documentation for SWIG
This is just a convenience package to make smooth upgrades possible.
The real stuff is in the swig-doc package.
Package: swig1.3-examples
Source: swig1.3
Version: 1.3.40-2~intrepid.nd1
Architecture: all
Maintainer: Torsten Landschoff <torsten@debian.org>
Installed-Size: 40
Depends: swig-examples
Priority: optional
Section: interpreters
Filename: pool/main/s/swig1.3/swig1.3-examples_1.3.40-2~intrepid.nd1_all.deb
Size: 11284
SHA256: 342ce8d212b55e7ddf5cc972e49e84b988d5735c68af646843365ab44d1667f6
SHA1: 381c82474f11b3fc03dd953368fa68892f5f6756
MD5sum: 64d256329b6b9f09843fe7d558636013
Description: Examples for applications of SWIG
Contains examples for applications of SWIG. These examples are
for the 1.3 release.
.
This is a dependency package for the real swig-examples package.
Package: via-bin
Source: via
Version: 1.6.0-2~intrepid.nd1
Architecture: amd64
Maintainer: Michael Hanke <michael.hanke@gmail.com>
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~intrepid.nd1_amd64.deb
Size: 190260
SHA256: 8d0cac463e532940fe0c22759273e9d7b1b042b90fa35e22b4014d0aac389d4b
SHA1: 7b21f0651b8c7e96d76ef370f5a3ec33ef586a39
MD5sum: 42f424c11cf548cff99b776fd54bef9e
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.