Package: amide Version: 0.9.1-2~hardy.apsy1 Architecture: amd64 Maintainer: Dominique Belhachemi Installed-Size: 3956 Depends: libart-2.0-2 (>= 2.3.18), libatk1.0-0 (>= 1.20.0), libc6 (>= 2.4), libcairo2 (>= 1.6.0), libdcmtk1 (>= 3.5.4), libgcc1 (>= 1:4.1.1-21), libgconf2-4 (>= 2.13.5), libglib2.0-0 (>= 2.16.0), libgnomecanvas2-0 (>= 2.11.1), libgnomevfs2-0 (>= 1:2.17.90), libgsl0ldbl (>= 1.9), libgtk2.0-0 (>= 2.12.0), libmdc2 (>= 0.10.1), libpango1.0-0 (>= 1.20.1), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.1.1-21), libvolpack1, libxml2 (>= 2.6.27), zlib1g (>= 1:1.2.3.3.dfsg-1) Homepage: http://amide.sourceforge.net/ Priority: optional Section: graphics Filename: pool/main/a/amide/amide_0.9.1-2~hardy.apsy1_amd64.deb Size: 1016858 SHA256: e25bbe83ff4e08f2bee395f39e7dcb27486fa0d07eb0296550a34b3241014aef SHA1: 47bbe3bf1c74f3ac697cb20f3845c9e3034fff5a MD5sum: ac5e07c62c62709a1aab6fa2e6ed3b11 Description: software for Medical Imaging AMIDE: (Amide's a Medical Imaging Data Examiner) AMIDE is a tool for viewing and analyzing medical image data sets. It's capabilities include the simultaneous handling of multiple data sets imported from a variety of file formats, image fusion, 3D region of interest drawing and analysis, volume rendering, and rigid body alignments. Package: arno-iptables-firewall Version: 1.9.2.d-1~hardy.nd1 Architecture: all Maintainer: Michael Hanke Installed-Size: 824 Depends: debconf (>= 0.5) | debconf-2.0, debconf (>= 1.3.22) | cdebconf (>= 0.43), gawk, iptables (>= 1.2.11) Recommends: dnsutils, iproute, lynx 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~hardy.nd1_all.deb Size: 123690 SHA256: 667f3cf1fb07e0b8419a54b3d9b8dae87028bae38b62cd18304af414e0d4beac SHA1: 1fc22bb72e524ac6c558d1a48b97f790ac548bca MD5sum: 52b1c44df594dbcc46bf8cce424da2f8 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: caret-data Version: 5.6~dfsg.1-1 Architecture: all Maintainer: Michael Hanke Installed-Size: 236780 Homepage: http://brainmap.wustl.edu/caret Priority: optional Section: science Filename: pool/main/c/caret-data/caret-data_5.6~dfsg.1-1_all.deb Size: 175205418 MD5sum: e5f41497554088124975dfc27ba6378b Description: common data files for Caret This package provides online help, tutorials and atlas datasets for Caret. Package: dicomnifti Version: 2.28.14-1~hardy.apsy1 Architecture: amd64 Maintainer: Michael Hanke Installed-Size: 532 Depends: libc6 (>= 2.4), libgcc1 (>= 1:4.1.1-21), libnifti1 (>> 1.1.0-2), libstdc++6 (>= 4.2.1-4), zlib1g (>= 1:1.2.3.3.dfsg-1) Homepage: http://cbi.nyu.edu/software/dinifti.php Priority: optional Section: science Filename: pool/main/d/dicomnifti/dicomnifti_2.28.14-1~hardy.apsy1_amd64.deb Size: 159238 SHA256: 51c4d0b102bebae7555781e25c3de6971a7108db6a7d978a6e67172f8d9d65f4 SHA1: c2a89e5886b071911b70a9964e816931a660c94a MD5sum: 3be1417c4086d79bc4201db7f6b0d3ec 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: fslview Version: 3.1.2+4.1.5.2-1~hardy.nd1 Architecture: amd64 Maintainer: Michael Hanke Installed-Size: 4348 Depends: libc6 (>= 2.4), libgcc1 (>= 1:4.1.1-21), libnewmat10ldbl, libnifti1 (>> 1.1.0-2), libqt3-mt (>= 3:3.3.8-b), libqwt4c2, libstdc++6 (>= 4.2.1-4), 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~hardy.nd1_amd64.deb Size: 1559402 SHA256: ed6437bd3f7034022891909cacb8be4475ad7b776288606e7567aab7a7983e07 SHA1: 08c53bc121afc43a0bd57fa7c7a884b60bf4dc80 MD5sum: 9b472732c62a03e61a10e5b478dc3f18 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~hardy.nd1 Architecture: all Maintainer: Michael Hanke 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~hardy.nd1_all.deb Size: 2378290 SHA256: 3df4791bd034d7ec5bc2212bb3bb6bff17dcda370a873be46a38cd2a252a081b SHA1: 5bf95fe2ec4d0e76ab4a8cb63a76fe3a471653b8 MD5sum: 79e520e2364f863e235b9f6c1805cd09 Description: Documentation for FSLView This package provides the online documentation for FSLView. . FSLView is part of FSL. Package: kbibtex Version: 0.2.3-1~hardy.nd1 Architecture: amd64 Maintainer: Michael Hanke Installed-Size: 2692 Depends: kdelibs4c2a (>= 4:3.5.8-1), libc6 (>= 2.4), libqt3-mt (>= 3:3.3.8-b), libstdc++6 (>= 4.1.1-21), libxml2 (>= 2.6.27), libxslt1.1 (>= 1.1.20) Recommends: texlive-bibtex-extra Suggests: bibtex2html, latex2rtf, texlive-latex-base | tetex-extra Homepage: http://www.unix-ag.uni-kl.de/~fischer/kbibtex Priority: optional Section: kde Filename: pool/main/k/kbibtex/kbibtex_0.2.3-1~hardy.nd1_amd64.deb Size: 757804 SHA256: 12cb709d2ae4a75c9fe569abf51685f8dc89bc561b2feb8f475b381f05a7d2f8 SHA1: 6cfc79540e3e4b7820b06e152e7b5eb99438d5c8 MD5sum: b29df1aef7018172209b2cf9618e33be 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 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: libmdc2 Source: xmedcon Version: 0.10.4-1~hardy.apsy1 Architecture: amd64 Maintainer: Roland Marcus Rutschmann Installed-Size: 768 Depends: libatk1.0-0 (>= 1.20.0), libc6 (>= 2.4), libcairo2 (>= 1.6.0), libglib2.0-0 (>= 2.12.0), libgtk2.0-0 (>= 2.12.0), libnifti1 (>= 1.1), libpango1.0-0 (>= 1.20.1), libpng12-0 (>= 1.2.13-4), zlib1g (>= 1:1.2.3.3.dfsg-1) Conflicts: libmdc Replaces: libmdc Homepage: http://xmedcon.sourceforge.net/ Priority: optional Section: libs Filename: pool/main/x/xmedcon/libmdc2_0.10.4-1~hardy.apsy1_amd64.deb Size: 272984 SHA256: 61914f282967a4732249c2fc89e0905cd2f26cc8cebcb97dbce9949da45280ed SHA1: b4787e825a3f3a537f2ca6f02f3f54e409d1989b MD5sum: 0d1ba9080ed199512737912fc1e6449b Description: Medical Image (DICOM, ECAT, ...) conversion tool This project stands for Medical Image Conversion. Released under the (L)GPL, it comes with the full C-source code of the library, a flexible command line utility and a neat graphical front-end using the GTK+ toolkit. The currently supported formats are: Acr/Nema 2.0, Analyze (SPM), DICOM 3.0, InterFile 3.3 and PNG. . This is the central library needed by medcon, xmedcon and derived programs . Package: libmdc2-dev Source: xmedcon Version: 0.10.4-1~hardy.apsy1 Architecture: amd64 Maintainer: Roland Marcus Rutschmann Installed-Size: 1544 Depends: libmdc2 (= 0.10.4-1~hardy.apsy1) Conflicts: libmdc-dev Replaces: libmdc-dev Homepage: http://xmedcon.sourceforge.net/ Priority: optional Section: libdevel Filename: pool/main/x/xmedcon/libmdc2-dev_0.10.4-1~hardy.apsy1_amd64.deb Size: 387888 SHA256: accc21200b6e314c083334f52e23cb07c83edf36d30a872dff1e5bb0a50c4daa SHA1: e8de22b209af7c9a541a255ea596193d5d319c2f MD5sum: eb8fcdbe4c12b84de310d3fa7f75dff2 Description: Medical Image (DICOM, ECAT, ...) conversion tool This project stands for Medical Image Conversion. Released under the (L)GPL, it comes with the full C-source code of the library, a flexible command line utility and a neat graphical front-end using the GTK+ toolkit. The currently supported formats are: Acr/Nema 2.0, Analyze (SPM), DICOM 3.0, InterFile 3.3 and PNG. . Static library, include files and documentation for developers. . Package: libminc-dev Source: minc Version: 2.0.15-3.1~hardy.apsy1 Architecture: amd64 Maintainer: Debian-Med Packaging Team Installed-Size: 1688 Depends: libhdf5-serial-dev, libminc2-1 (= 2.0.15-3.1~hardy.apsy1), libnetcdf-dev Conflicts: libminc0-dev Replaces: libminc0-dev Homepage: http://www.bic.mni.mcgill.ca/software/ Priority: optional Section: libdevel Filename: pool/main/m/minc/libminc-dev_2.0.15-3.1~hardy.apsy1_amd64.deb Size: 656222 MD5sum: 45357dce665f83435ad5cb0919542c19 Description: MNI medical image format development environment This package contains the library and headers for libminc2 and libvolume_io2. . The Minc file format is a highly flexible medical image file format. Minc version 1 is built on top of the NetCDF generalized data format. Minc version 2 is built on top of the HDF data format. This library handles both formats. In each case the format is simple, self-describing, extensible, portable and N-dimensional, with programming interfaces for both low-level data access and high-level volume manipulation. On top of the libraries is a suite of generic image-file manipulation tools. The format, libraries and tools are designed for use in a medical-imaging research environment : they are simple and powerful and make no attempt to provide a pretty interface to users. Package: libminc2-1 Source: minc Version: 2.0.15-3.1~hardy.apsy1 Architecture: amd64 Maintainer: Debian-Med Packaging Team Installed-Size: 600 Depends: libc6 (>= 2.4), libhdf5-serial-1.6.5-0 | libhdf5-1.6.5-0, libnetcdf4, zlib1g (>= 1:1.2.3.3.dfsg-1) Homepage: http://www.bic.mni.mcgill.ca/software/ Priority: optional Section: libs Filename: pool/main/m/minc/libminc2-1_2.0.15-3.1~hardy.apsy1_amd64.deb Size: 252702 MD5sum: 09176be4015f298da8181409b453f1c5 Description: MNI medical image format library This package contains the libraries libminc2 and libvolume_io2. . The Minc file format is a highly flexible medical image file format. Minc version 1 is built on top of the NetCDF generalized data format. Minc version 2 is built on top of the HDF data format. This library handles both formats. In each case the format is simple, self-describing, extensible, portable and N-dimensional, with programming interfaces for both low-level data access and high-level volume manipulation. On top of the libraries is a suite of generic image-file manipulation tools. The format, libraries and tools are designed for use in a medical-imaging research environment : they are simple and powerful and make no attempt to provide a pretty interface to users. Package: libnetcdf-dev Source: netcdf Version: 1:3.6.2-3.1~hardy.apsy1 Architecture: amd64 Maintainer: Warren Turkal Installed-Size: 1412 Depends: libc6-dev | libc-dev, libnetcdf4 (= 1:3.6.2-3.1~hardy.apsy1) Recommends: netcdf-doc Suggests: gfortran, netcdf-bin Conflicts: netcdf-dev, netcdfg-dev (<< 3.6.2) Replaces: netcdf-dev, netcdfg-dev (<< 3.6.2) Priority: optional Section: libdevel Filename: pool/main/n/netcdf/libnetcdf-dev_3.6.2-3.1~hardy.apsy1_amd64.deb Size: 266046 MD5sum: d8a8f9b99cb228cebeed0711d4a1034b Description: Development kit for NetCDF NetCDF (network Common Data Form) is an interface for scientific data access and a freely-distributed software library that provides an implementation of the interface. The netCDF library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data. . This package includes everything needed for developing in C, C++, Fortran 77, and Fortran 90. Package: libnetcdf4 Source: netcdf Version: 1:3.6.2-3.1~hardy.apsy1 Architecture: amd64 Maintainer: Warren Turkal Installed-Size: 804 Depends: libc6 (>= 2.4), libgcc1 (>= 1:4.1.1-21), libstdc++6 (>= 4.2.1-4) Priority: optional Section: libs Filename: pool/main/n/netcdf/libnetcdf4_3.6.2-3.1~hardy.apsy1_amd64.deb Size: 207590 MD5sum: 2858522bfe8187a43f761518e43e2525 Description: An interface for scientific data access to large binary data NetCDF (network Common Data Form) is an interface for scientific data access and a freely-distributed software library that provides an implementation of the interface. The netCDF library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data. Package: libnifti-doc Source: nifticlib Version: 1.1.0-3~hardy.apsy1 Architecture: all Maintainer: Michael Hanke Installed-Size: 1136 Homepage: http://niftilib.sourceforge.net Priority: optional Section: doc Filename: pool/main/n/nifticlib/libnifti-doc_1.1.0-3~hardy.apsy1_all.deb Size: 171166 SHA256: e4fda8f449b2ae344e22458ba3af1e556b317674cce40c4ea7dfb18b3328ce7f SHA1: 3f8ce8b2eef11e8dcacc9db0ea5ef8c24f38b056 MD5sum: c05f562b2d9f10f2bc80904be2497b21 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~hardy.apsy1 Architecture: amd64 Maintainer: Michael Hanke Installed-Size: 316 Depends: libc6 (>= 2.4), zlib1g (>= 1:1.2.3.3.dfsg-1) Conflicts: libniftiio1 Homepage: http://niftilib.sourceforge.net Priority: optional Section: libs Filename: pool/main/n/nifticlib/libnifti1_1.1.0-3~hardy.apsy1_amd64.deb Size: 116918 SHA256: 5f0a67e13863db0714cb3a11eccc8b98163400e23478b1a86a31330a867ebc3a SHA1: 6cf3c0c16b9d99fa97b17fd594bf69097b834865 MD5sum: 3f6ae496d77a83e7424c59f5e4904900 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~hardy.apsy1 Architecture: amd64 Maintainer: Michael Hanke Installed-Size: 608 Depends: libnifti1 (= 1.1.0-3~hardy.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~hardy.apsy1_amd64.deb Size: 164712 SHA256: fa10e6770d0bdaf2abaede074845deccb3c85a00dafd6c82a7bfc5dc19fe69e7 SHA1: eb2c9e7cc1bdcc8bc5e19e5d2fc4e86efed314fe MD5sum: 5dd13364740765ab7062c83ca87fa72a 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: libvia-dev Source: via Version: 1.6.0-2~hardy.nd1 Architecture: amd64 Maintainer: Michael Hanke Installed-Size: 912 Depends: libvia0 (= 1.6.0-2~hardy.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~hardy.nd1_amd64.deb Size: 237634 SHA256: 20d3cc887233495dbca7a1029079b80d3dc7265599bdb4ae9e87f52bb2ba1866 SHA1: eea4980d120a4470cbe75d75dfe91a3f8c9f053f MD5sum: 6918cc1b038d429c289edaeca55a738f 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~hardy.nd1 Architecture: all Maintainer: Michael Hanke Installed-Size: 932 Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: doc Filename: pool/main/v/via/libvia-doc_1.6.0-2~hardy.nd1_all.deb Size: 110740 SHA256: 1a538f3130a3bb0dc84d80af9977ca52ed849fc3aaa43aa4fdfec28c5ba00f84 SHA1: f79fc684491d111ef8ebec789053f15e01b504a4 MD5sum: 0aeaa339b9d51a74f1d5090321e002d7 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~hardy.nd1 Architecture: amd64 Maintainer: Michael Hanke Installed-Size: 476 Depends: lesstif2, libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.4), 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~hardy.nd1_amd64.deb Size: 185640 SHA256: 92de5a413b06b074c94f9323eafa6a28c0f375e7c9f8556464048edd141b7bcd SHA1: 303d53857be70ffee664ce74d50da8300d131b6b MD5sum: 02dec3141f40a7cce55627a08dbbbc35 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: libvolpack1 Source: volpack Version: 1.0b3-2~hardy.apsy1 Architecture: amd64 Maintainer: Debian-Med Packaging Team Installed-Size: 280 Depends: libc6 (>= 2.4) Homepage: http://graphics.stanford.edu/software/volpack/ Priority: extra Section: libs Filename: pool/main/v/volpack/libvolpack1_1.0b3-2~hardy.apsy1_amd64.deb Size: 99324 SHA256: 0fc82eb7f4301f09ac272a38c308a17eb2c93ffc6dc3bee21431962139d6294b SHA1: 102ecb5e9e9c17625efc89298c529823de016e3d MD5sum: 2d35365196905507b830b812a4da0117 Description: fast volume rendering library VolPack is a software library for fast, high-quality volume rendering with this features: * Renders data sampled on a regular, three-dimensional grid. * Supports user-specified transfer functions for both opacity and color. * Provides a shading model with directional light sources, multiple material types with different reflective properties, depth cueing, and shadows. * Produces color (24 bits/pixel) or grayscale (8 bits/pixel) renderings, with or without an alpha channel. * Supports arbitrary affine view transformations. * Supports a flexible data format that allows an arbitrary C structure to be associated with each voxel. Package: libvolpack1-dev Source: volpack Version: 1.0b3-2~hardy.apsy1 Architecture: amd64 Maintainer: Debian-Med Packaging Team Installed-Size: 1264 Depends: libc6-dev, libvolpack1 (= 1.0b3-2~hardy.apsy1) Conflicts: libvolpack-dev Provides: libvolpack-dev Homepage: http://graphics.stanford.edu/software/volpack/ Priority: extra Section: libdevel Filename: pool/main/v/volpack/libvolpack1-dev_1.0b3-2~hardy.apsy1_amd64.deb Size: 823872 SHA256: 50b43b8e07b29b2ccfc2590a33fefee9a60fac42ac983c2ce80d928ed7f243c0 SHA1: 41ca939e23ed21b9e683106c0a7d8f8039ea1cd1 MD5sum: 45e8d9f9c238787f88c5967d561c0747 Description: fast volume rendering library VolPack is a software library for fast, high-quality volume rendering with this features: * Renders data sampled on a regular, three-dimensional grid. * Supports user-specified transfer functions for both opacity and color. * Provides a shading model with directional light sources, multiple material types with different reflective properties, depth cueing, and shadows. * Produces color (24 bits/pixel) or grayscale (8 bits/pixel) renderings, with or without an alpha channel. * Supports arbitrary affine view transformations. * Supports a flexible data format that allows an arbitrary C structure to be associated with each voxel. . This is the development package. Package: medcon Source: xmedcon Version: 0.10.4-1~hardy.apsy1 Architecture: amd64 Maintainer: Roland Marcus Rutschmann Installed-Size: 84 Depends: libatk1.0-0 (>= 1.20.0), libc6 (>= 2.4), libcairo2 (>= 1.6.0), libfontconfig1 (>= 2.4.0), libfreetype6 (>= 2.3.5), libglib2.0-0, libgtk2.0-0 (>= 2.12.0), libmdc2 (>= 0.10.4), libnifti1 (>= 1.1), libpango1.0-0 (>= 1.20.1), libpixman-1-0, libpng12-0 (>= 1.2.13-4), libx11-6, libxrender1, zlib1g (>= 1:1.2.3.3.dfsg-1) Suggests: xmedcon Homepage: http://xmedcon.sourceforge.net/ Priority: optional Section: graphics Filename: pool/main/x/xmedcon/medcon_0.10.4-1~hardy.apsy1_amd64.deb Size: 26144 SHA256: 71465c7d5987bf14dd7b89fa13a344f34438329acf7941ac68a0a7baeaefea05 SHA1: ee89a8a1b24bc0b9c557b08877b91e6a61cfda14 MD5sum: 0ed20f44b6fdb28176ad741c0ad2168a Description: Medical Image (DICOM, ECAT, ...) conversion tool This project stands for Medical Image Conversion. Released under the (L)GPL, it comes with the full C-source code of the library, a flexible command line utility and a neat graphical front-end using the GTK+ toolkit. The currently supported formats are: Acr/Nema 2.0, Analyze (SPM), DICOM 3.0, InterFile 3.3 and PNG. . The program also allows to read unsupported files without compression, to print pixel values or to extract/reorder specified images. It is possible to retrieve the raw binary/ascii image arrays or to write PNG for desktop applications. . This is the command line tool for batch processing. . Package: minc-tools Source: minc Version: 2.0.15-3.1~hardy.apsy1 Architecture: amd64 Maintainer: Debian-Med Packaging Team Installed-Size: 1420 Depends: csh | c-shell, imagemagick, libc6 (>= 2.4), libgetopt-tabular-perl, libhdf5-serial-1.6.5-0 | libhdf5-1.6.5-0, libminc2-1, libnetcdf4, libtext-format-perl, netcdf-bin, zlib1g (>= 1:1.2.3.3.dfsg-1) Homepage: http://www.bic.mni.mcgill.ca/software/ Priority: optional Section: science Filename: pool/main/m/minc/minc-tools_2.0.15-3.1~hardy.apsy1_amd64.deb Size: 486252 MD5sum: c6c6ffebbb7a627b2600998a59c5d892 Description: MNI medical image format tools This package contains tools to manipulate MINC files. . The Minc file format is a highly flexible medical image file format built on top of the NetCDF generalized data format. The format is simple, self-describing, extensible, portable and N-dimensional, with programming interfaces for both low-level data access and high-level volume manipulation. On top of the libraries is a suite of generic image-file manipulation tools. The format, libraries and tools are designed for use in a medical-imaging research environment: they are simple and powerful and make no attempt to provide a pretty interface to users. Package: netcdf-bin Source: netcdf Version: 1:3.6.2-3.1~hardy.apsy1 Architecture: amd64 Maintainer: Warren Turkal Installed-Size: 176 Depends: libc6 (>= 2.4), libnetcdf4 Priority: optional Section: science Filename: pool/main/n/netcdf/netcdf-bin_3.6.2-3.1~hardy.apsy1_amd64.deb Size: 57054 MD5sum: 294741f641276fbe617358b1468c3f25 Description: Programs for reading and writing NetCDF files Contains the programs ncdump and ncgen which convert NetCDF files to ASCII and back, respectively. NetCDF (network Common Data Form) is an interface for scientific data access and a freely-distributed software library that provides an implementation of the interface. The netCDF library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data. Package: netcdf-dbg Source: netcdf Version: 1:3.6.2-3.1~hardy.apsy1 Architecture: amd64 Maintainer: Warren Turkal Installed-Size: 1624 Depends: libnetcdf4 (= 1:3.6.2-3.1~hardy.apsy1) Suggests: gdb Priority: extra Section: libdevel Filename: pool/main/n/netcdf/netcdf-dbg_3.6.2-3.1~hardy.apsy1_amd64.deb Size: 443118 MD5sum: 43e5f3065918cc8ea93b07b98bdb9f9f Description: debugging symbols for NetCDF This package contains the files that make it possible to debug the NetCDF binaries and programs that use the NetCDF libraries with a source-level debugger like gdb. Package: netcdf-doc Source: netcdf Version: 1:3.6.2-3.1~hardy.apsy1 Architecture: all Maintainer: Warren Turkal Installed-Size: 6204 Priority: optional Section: doc Filename: pool/main/n/netcdf/netcdf-doc_3.6.2-3.1~hardy.apsy1_all.deb Size: 3432154 MD5sum: a611c8cc8b9d0141ec79ed16560e696e Description: Documentation for NetCDF This package contains documentation for the NetCDF library in a variety of formats. Package: netcdfg-dev Source: netcdf Version: 1:3.6.2-3.1~hardy.apsy1 Architecture: amd64 Maintainer: Warren Turkal Installed-Size: 48 Depends: libnetcdf-dev Priority: optional Section: oldlibs Filename: pool/main/n/netcdf/netcdfg-dev_3.6.2-3.1~hardy.apsy1_amd64.deb Size: 2616 MD5sum: 6fdebc67b05fdd130d1eaabfadaa0829 Description: Dummy upgrade package for libnetcdf-dev This is a dummy package to transition to a new development package for the NetCDF libraries. . Once installed, it may be removed. Package: nifti-bin Source: nifticlib Version: 1.1.0-3~hardy.apsy1 Architecture: amd64 Maintainer: Michael Hanke Installed-Size: 188 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~hardy.apsy1_amd64.deb Size: 62176 SHA256: ec58dbdc1aee9d976643a13674b2d2db10a3943a0c90afbf7538669769702024 SHA1: a23e295ed1c6056995e3e2db8bbfe6ac99078c17 MD5sum: a14841b3617fae24b16ee7df6d7f3177 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: psychopy Version: 1.51.00.dfsg-1~hardy.nd1 Architecture: all Maintainer: Experimental Psychology Maintainers Installed-Size: 2400 Depends: python (>= 2.4), python-lxml, python-matplotlib, python-numpy, python-opengl, python-pygame | python-pyglet, python-support (>= 0.7.1) Recommends: libavbin0, python-imaging, python-scipy, python-serial, python-wxgtk2.8 Suggests: python-pyepl Homepage: http://www.psychopy.org Priority: optional Section: science Filename: pool/main/p/psychopy/psychopy_1.51.00.dfsg-1~hardy.nd1_all.deb Size: 1003064 SHA256: 500eeb1e31e52b3f6b88f7bcb837b495d9b9dd21e08a4519ef63e13ca16c8f47 SHA1: e82095ec8a8e96eef7dd38539aa5e39fddd86300 MD5sum: 5fb48b803e1fb2302ebf2090a1019f8a 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-griddata Source: griddata Version: 0.1.2-1~hardy.apsy1 Architecture: amd64 Maintainer: Michael Hanke Installed-Size: 260 Depends: libc6 (>= 2.4), python (>= 2.4), python (<< 2.6), python-numpy, python-numpy-ext, python-support (>= 0.7.1) 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~hardy.apsy1_amd64.deb Size: 69362 SHA256: 20a2fb251b198cd6e35352ff85977bc2b793260a63f637070932eae37071be63 SHA1: 652819ac9031c1ed192ec0ec6b67720d6168965e MD5sum: 647361f24e8e0b20b001e3a6527896a6 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~hardy.apsy1 Architecture: amd64 Maintainer: Michael Hanke Installed-Size: 420 Depends: libc6 (>= 2.2.5), python (>= 2.4), python (<< 2.6), python-ctypes, python-numpy, python-numpy-ext, python-support (>= 0.7.1) 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~hardy.apsy1_amd64.deb Size: 93668 SHA256: 8393e956835c6e256a3771af2e17bd1481076056ab1fc77859c06ab17795453b SHA1: 50ca20316daef6974c205532d6af29bb4ee5a636 MD5sum: 9e26222fafa8642df40d372b19f53b31 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~hardy.nd1 Architecture: amd64 Maintainer: Piotr Ożarowski Installed-Size: 512 Depends: libc6 (>= 2.2.5), python (>= 2.4), python (<< 2.6), python-support (>= 0.7.1) 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~hardy.nd1_amd64.deb Size: 76916 SHA256: 382f45ecebeec4ed40e408f8c738cc5f705a5ff0456c5932d753267c9550ba71 SHA1: a9eedf3526d85a448756e692e3b1277723d5cdf1 MD5sum: 4728ea8ebbe4f7847a05c8c7a496c94e 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~hardy.nd1 Architecture: amd64 Maintainer: Piotr Ożarowski Installed-Size: 196 Depends: libc6 (>= 2.2.5), python-dbg, python-jinja2 (= 2.1.1-2~bpo50+1~hardy.nd1) 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~hardy.nd1_amd64.deb Size: 25112 SHA256: 887dd1a0e8a178e9ad06dda9b89a3f799c37a7dc82ec6354db7e77f6b3c73f28 SHA1: 0c243869f9a5b6d952fa4e567462a67010bfd3d7 MD5sum: 78f00785b9b585d92b9c0dab6a297591 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~hardy.nd1 Architecture: all Maintainer: Piotr Ożarowski 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~hardy.nd1_all.deb Size: 211404 SHA256: 5accaca5bf8a00132547650aed879b6f7eb0f88518b68e5aa29f1a057d3ca47c SHA1: 7300b4fea3aaae3659c42cdd8efdf5d2a93bf66a MD5sum: 8824bbf23c00c4f9a26b4bc9ce4e2a70 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~hardy.nd1 Architecture: all Maintainer: Yaroslav Halchenko Installed-Size: 944 Depends: python (>= 2.4), python-numpy, python-support (>= 0.7.1) 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~hardy.nd1_all.deb Size: 172334 SHA256: 09b40eb2c3cba6ac6cf39be32b040729ad25e74735dbf0849ff98e5a71b7870c SHA1: e9a2532dd3b33cc5614fd47aabc706927a6bfa06 MD5sum: 530d30a0d9b95f16e2db7d4cdbcded43 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~hardy.nd1 Architecture: all Maintainer: Experimental Psychology Maintainers Installed-Size: 4068 Depends: python (>= 2.4), python-mvpa-lib (>= 0.4.3-1~hardy.nd1), python-numpy, python-support (>= 0.7.1) Recommends: python-matplotlib, python-mdp, python-nifti, python-psyco, python-pywt, python-reportlab, python-scipy, shogun-python-modular Suggests: fsl, fslview, python-lxml, python-nose, python-rpy, python-scikits-openopt 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~hardy.nd1_all.deb Size: 2140968 SHA256: 81935260813af9b7b75f2ed3eaf08dc1e1fc8e332ce49475edaddfd526e58a90 SHA1: 9ac649be1994c321421a39ad0670725c88fd1437 MD5sum: 1eef24fda777a9c1d60a98bb8af35eee 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~hardy.nd1 Architecture: all Maintainer: Experimental Psychology Maintainers Installed-Size: 44436 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~hardy.nd1_all.deb Size: 11719536 SHA256: 9e80a63ace558ba808743a502236a893af32862fc0232c230a7156cc8a87e163 SHA1: d2d01b493dea64e5c6de92667c2d347cdffdbb75 MD5sum: e86a870ecd9144cb0bbfce5bed7741e6 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~hardy.nd1 Architecture: amd64 Maintainer: Experimental Psychology Maintainers Installed-Size: 296 Depends: libc6 (>= 2.4), libgcc1 (>= 1:4.1.1-21), libstdc++6 (>= 4.1.1-21), libsvm2, python (>= 2.4), python (<< 2.6), python-ctypes (>= 1.0.1) | python (>= 2.5), python-numpy, python-support (>= 0.7.1) 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~hardy.nd1_amd64.deb Size: 59484 SHA256: 43b2f2e4c340d05147f919b6e92bd46879dcb2f50597d0f5d168527d8677a6a1 SHA1: db45f9b03f86cc5eb93a755c4c20ef37486e2c24 MD5sum: d63d41329ddf17756c91ac9dce746a80 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-networkx Version: 1.0.1-0.1~hardy.nd1 Architecture: all Maintainer: Cyril Brulebois Installed-Size: 1976 Depends: python (>= 2.4), python-support (>= 0.7.1) Recommends: python-matplotlib, python-numpy, python-pkg-resources, python-pygraphviz | python-pydot, python-scipy, python-yaml Homepage: https://networkx.lanl.gov/ Priority: optional Section: python Filename: pool/main/p/python-networkx/python-networkx_1.0.1-0.1~hardy.nd1_all.deb Size: 536994 SHA256: 15314ee34f2c3182412fcba1a2a52069588fe6c062ba0632aab46995893cb0dc SHA1: efa979d47862c663e1917e6b7732b29e66f53264 MD5sum: 929cb7915d5854e179dd92bc6f521878 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~hardy.nd1 Architecture: amd64 Maintainer: Michael Hanke Installed-Size: 1552 Depends: libc6 (>= 2.4), libjs-jquery, libnifti1 (>> 1.1.0-2), python (>= 2.4), python (<< 2.6), python-numpy, python-numpy-ext, python-support (>= 0.7.1) 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~hardy.nd1_amd64.deb Size: 362940 SHA256: ca81d58ffc107f8bd718bd8dbd8e50488d6da6e5e9c63fdcd9f1e3df20066da0 SHA1: 90d34d0bfa8ff2fa1f5054498dfd21ed0d8fc36d MD5sum: abd64c071e9b038ce86368f4688e54de 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~hardy.nd1 Architecture: all Maintainer: Yaroslav Halchenko Installed-Size: 1196 Depends: python (>= 2.5), python-central (>= 0.6.5), python-numpy Recommends: python-cvxopt, python-glpk, python-matplotlib, python-scipy 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~hardy.nd1_all.deb Size: 152960 SHA256: 655629c4bbee80b363d0497fbd3ef696ae73ab528fbc32a0d3585fd642f066d5 SHA1: 0f98387e21414c532ca68c200848d3ab0629d756 MD5sum: 91fe705f40f63c847b8d05a786d8b758 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-pyepl Source: pyepl Version: 1.0.29-2~hardy.apsy1 Architecture: amd64 Maintainer: Experimental Psychology Maintainers Installed-Size: 2368 Depends: libasound2 (>> 1.0.14), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1-21), libode0debian1 (>= 1:0.8.dfsg-3), libsamplerate0, libsndfile1, libstdc++6 (>= 4.2.1-4), python (>= 2.4), python (<< 2.6), python-central (>= 0.6.5), python-imaging, python-numeric-ext, python-opengl, python-pyepl-common (= 1.0.29-2~hardy.apsy1), python-pygame, python-pyode, ttf-dejavu-core Conflicts: python2.3-pyepl, python2.4-pyepl Replaces: python2.3-pyepl, python2.4-pyepl Provides: python2.4-pyepl, python2.5-pyepl Priority: optional Section: science Filename: pool/main/p/pyepl/python-pyepl_1.0.29-2~hardy.apsy1_amd64.deb Size: 582834 MD5sum: b4fcdaaa1db452cd0d948595b9938f6e Description: library 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) . Homepage: http://pyepl.sourceforge.net/ . This package provides PyEPL for supported versions of python. Python-Version: 2.4, 2.5 Package: python-pyepl-common Source: pyepl Version: 1.0.29-2~hardy.apsy1 Architecture: all Maintainer: Experimental Psychology Maintainers Installed-Size: 852 Depends: python Priority: optional Section: science Filename: pool/main/p/pyepl/python-pyepl-common_1.0.29-2~hardy.apsy1_all.deb Size: 816532 MD5sum: 67a72f0607850e2bef98cbf95bc1e0f6 Description: library 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) . Homepage: http://pyepl.sourceforge.net/ . This package provides common files such as images. Package: python-sphinx Source: sphinx Version: 0.5.1-2~hardy.apsy1 Architecture: all Maintainer: Mikhail Gusarov Installed-Size: 2600 Depends: libjs-jquery, python (>= 2.4), python-central (>= 0.6.5), python-docutils, python-jinja (>= 1.1), python-pygments (>= 0.8) 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_0.5.1-2~hardy.apsy1_all.deb Size: 511218 SHA256: 9de5f6c6cf0ecf366a0d03bfdb326c0f50f225ad575917a3b87f1beadf6ec864 SHA1: 92e3af9ada8885fb474f525577389cb8d45ec5d5 MD5sum: fd32c11965bbbd55d7468852895a381e 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. Python-Version: >=2.4 Package: spm8-common Source: spm8 Version: 8.4010~dfsg.1-3 Architecture: all Maintainer: NeuroDebian Team 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 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 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 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~hardy.nd1 Architecture: amd64 Maintainer: Torsten Landschoff Installed-Size: 5204 Depends: libc6 (>= 2.4), libgcc1 (>= 1:4.1.1-21), libstdc++6 (>= 4.1.1-21), zlib1g (>= 1:1.2.3.3.dfsg-1) Suggests: swig-doc, swig-examples Replaces: swig1.3 Priority: optional Section: interpreters Filename: pool/main/s/swig1.3/swig_1.3.40-2~hardy.nd1_amd64.deb Size: 1235510 SHA256: 050bb15388372d5143ceda960d40058a94b044af8b8d5f527ca58a20eee932a8 SHA1: 47474ddf489a8e1e836c4be098be48fec34142a5 MD5sum: dbc5c428d38e373d8a66319921e1d0bf 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~hardy.nd1 Architecture: all Maintainer: Torsten Landschoff 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~hardy.nd1_all.deb Size: 2298908 SHA256: 21c05313f7e11a875cd329019c3ac5c250df58f8ad02d215eb74dee158f9859e SHA1: dcf2aed5a057b4760fe900684dcf1428bd0fbf8e MD5sum: 2ecb7dcd8735bb3f489e11e706f299e7 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~hardy.nd1 Architecture: all Maintainer: Torsten Landschoff Installed-Size: 12556 Depends: swig Replaces: swig1.3-examples Priority: optional Section: interpreters Filename: pool/main/s/swig1.3/swig-examples_1.3.40-2~hardy.nd1_all.deb Size: 1012104 SHA256: cd450a7e1972f3492d1f037659c9e22014ef8c6a18d16c5e3010a13aa1574c80 SHA1: c21b880e2481e0fbc60f291bbceac6feddd66d33 MD5sum: cc08a1298ff82e279942a747d273890b 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~hardy.nd1 Architecture: amd64 Maintainer: Torsten Landschoff Installed-Size: 40 Depends: swig (>= 1.3.0) Priority: optional Section: interpreters Filename: pool/main/s/swig1.3/swig1.3_1.3.40-2~hardy.nd1_amd64.deb Size: 11432 SHA256: 6fa1f50ba9536a3dfa686cf7745d2af354f764306bca442ce18be03447532f7b SHA1: 00fbc34bc689e46ac540d530a749e50b480c63f6 MD5sum: 94dd6dc3957bc9b7abdb21906039300e 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~hardy.nd1 Architecture: all Maintainer: Torsten Landschoff 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~hardy.nd1_all.deb Size: 11276 SHA256: 91ec6d8c84f09055eefe8b082fccb730d25b92b163cbbb052c5c7f27f406fef7 SHA1: 330e1bbaf11b9b010f4f6b20eacde9e48163ff6c MD5sum: 023aa73ce80d41acc540c9a1394cc201 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~hardy.nd1 Architecture: all Maintainer: Torsten Landschoff Installed-Size: 40 Depends: swig-examples Priority: optional Section: interpreters Filename: pool/main/s/swig1.3/swig1.3-examples_1.3.40-2~hardy.nd1_all.deb Size: 11282 SHA256: 25808531125595469ce73e6d0d0122c2eed3fa45ee1b53c6c4953a9312677105 SHA1: 9b166692bd409d3065406955e0e8a0e183452f27 MD5sum: 976a3fd6799497c526256c314a9be706 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~hardy.nd1 Architecture: amd64 Maintainer: Michael Hanke Installed-Size: 908 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~hardy.nd1_amd64.deb Size: 190852 SHA256: 14437e94a459a6784f63a19b2d93736cf109e5683d9f4cfb2b70969cf92c411a SHA1: f46f697b38886cbe569dbf4e4eec6dd5385ec93e MD5sum: 335214ed652c38a72b7ad90281f265ab 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: xmedcon Version: 0.10.4-1~hardy.apsy1 Architecture: amd64 Maintainer: Roland Marcus Rutschmann Installed-Size: 288 Depends: libatk1.0-0 (>= 1.20.0), libc6 (>= 2.4), libcairo2 (>= 1.6.0), libfontconfig1 (>= 2.4.0), libfreetype6 (>= 2.3.5), libglib2.0-0 (>= 2.12.0), libgtk2.0-0 (>= 2.12.0), libmdc2 (>= 0.10.4), libnifti1 (>= 1.1), libpango1.0-0 (>= 1.20.1), libpixman-1-0, libpng12-0 (>= 1.2.13-4), libx11-6, libxrender1, zlib1g (>= 1:1.2.3.3.dfsg-1) Recommends: medcon Homepage: http://xmedcon.sourceforge.net/ Priority: optional Section: graphics Filename: pool/main/x/xmedcon/xmedcon_0.10.4-1~hardy.apsy1_amd64.deb Size: 82588 SHA256: ea2d77fc28bd5dd78219f2744fc7ffa69966a6a6458713d9774d55c933f0cab6 SHA1: 4395cb83cd0158a6b64c30b77cd06961b8cfe091 MD5sum: b9071216f8969eb6dc217e7c3979e909 Description: Medical Image (DICOM, ECAT, ...) conversion tool This project stands for Medical Image Conversion. Released under the (L)GPL, it comes with the full C-source code of the library, a flexible command line utility and a neat graphical front-end using the GTK+ toolkit. The currently supported formats are: Acr/Nema 2.0, Analyze (SPM), DICOM 3.0, InterFile 3.3 and PNG. . The program also allows to read unsupported files without compression, to print pixel values or to extract/reorder specified images. It is possible to retrieve the raw binary/ascii image arrays or to write PNG for desktop applications. . This is the program version for X based on GTK+. Processes only one file at a time. .