License: BSD
Author: Samuel Garcia, Pierre Yger, Luc Estabanez, Andrew Davison, Yury V. Zaytsev
Language: Python
-Version: 0.1
+Version: 0.2
+WNPP: 659691
Vcs-SVN: https://neuralensemble.org/svn/neo/
Pkg-Description: IO library for electrophysiological data formats in Python
NEO stands for Neural Ensemble Objects and is a project to provide common
openwalnut = openwalnut-qt4
neurodebian = neurodebian-dev neurodebian-desktop neurodebian-keyring neurodebian-popularity-contest neurodebian-guest-additions
pytables = python-tables
+isis = isis-utils libisis-core-dev python-isis libisis-ioplugins-common libisis-ioplugins-dicom libisis-qt4-dev
[mirrors]
au = http://mirror.aarnet.edu.au/pub/neurodebian
de = http://apsy.gse.uni-magdeburg.de/debian
gr = http://neurobot.bio.auth.gr/neurodebian
+jp = http://neuroimaging.sakura.ne.jp/neurodebian
us-ca = http://neurodeb.pirsquared.org
us-nh = http://neuro.debian.net/debian
us-tn = http://masi.vuse.vanderbilt.edu/neurodebian
au = Australia (AARNET)
de = Germany (University of Magdeburg)
gr = Greece (Aristotle University of Thessaloniki)
+jp = Japan (Kiyotaka Nemoto)
us-ca = USA-CA (Paul Ivanov, California)
us-nh = USA-NH (Dartmouth College)
us-tn = USA-TN (Vanderbilt)
NeuroDebian "Derivatives"
*************************
+.. replace with icons eventually
+
+`Live CD/USB Media`_ | `Virtual Appliances`_ | `Cloud Solutions`_
+
NeuroDebian_ is not a *Linux distribution* in a traditional sense because we
-work within Debian_ project thus not providing our custom installer etc. But
-we are a Linux-distribution providing a repository of up-to-date builds and
-maintaining a :ref:`chap_vm` deployment of Debian. Because of the openness
-and modularity of Debian other enthusiasts develop customized derivative
-solutions based to address a particular demand.
+are working within Debian_ project thus not providing our custom installer
+etc. But we are a Linux-distribution providing a repository of up-to-date
+builds and maintaining a :ref:`chap_vm` deployment of Debian. Because of the
+openness and modularity of Debian other enthusiasts develop customized
+derivative solutions to address their particular needs.
-This page presents such *derivative* projects which are tuned for particular
-domains of application in neuroscience and rely on NeuroDebian_ as the origin
-for necessary tools.
+This page presents some of such *derivative* projects which are tuned for
+particular domains of application in neuroscience and rely on NeuroDebian_ as
+the origin of necessary tools.
.. note::
These projects are not maintained by NeuroDebian_ team. Please direct all
you support inquiries to respective authors/maintainers.
-
Live CD/USB Media
=================
Lin4Neuro
---------
++---------------------------+-------------------------------------------------------+
+|**Author** | Kiyotaka Nemoto <kiyotaka@nemotos.net> |
++---------------------------+-------------------------------------------------------+
+|**Homepage** | http://www.nemotos.net/?page_id=504 |
++---------------------------+-------------------------------------------------------+
+|**Purpose** | Neuroimaging tools for course-work |
++---------------------------+-------------------------------------------------------+
+|**Features** | - Datasets and tutorials from C.Rorden (MRIcron) |
+| | - Both 32- and 64-bit images |
+| | - Based on Ubuntu 10.04 LTS |
++---------------------------+-------------------------------------------------------+
+|**Pre-installed Software** | NeuroDebian |
+| | AFNI, AMIDE, Caret, FSL, LIPSIA, MRIcron, etc. |
+| | Custom: |
+| | 3DSlicer, MINC, MRIConvert, Virtual MRI |
++---------------------------+-------------------------------------------------------+
+|**Download** | ftp://ftp.nemotos.net/ [~2GB] |
++---------------------------+-------------------------------------------------------+
+|**References** | http://www.biomedcentral.com/1471-2342/11/3 |
++---------------------------+-------------------------------------------------------+
+
Virtual Appliances
==================
-* XNAT
-* MIPAV
+XNAT
+----
++---------------------------+-------------------------------------------------------+
+|**Author** | Satrajit Ghosh <satra@mit.edu> |
++---------------------------+-------------------------------------------------------+
+|**Homepage** | http://datasharing.incf.org/ni/Install_XNAT |
++---------------------------+-------------------------------------------------------+
+|**Purpose** | XNAT deployment |
++---------------------------+-------------------------------------------------------+
+|**Features** | - XNAT 1.5 |
+| | - 64-bit only |
+| | - Based on NeuroDebian VM appliance |
++---------------------------+-------------------------------------------------------+
+|**Pre-installed Software** | Custom: |
+| | XNAT |
++---------------------------+-------------------------------------------------------+
+|**Download** | `XNAT 1.5.0 NeuroDebian VM <xnat_vm_image>`_ |
++---------------------------+-------------------------------------------------------+
-Cloud Environments
-==================
+.. _xnat_vm_image: http://neuro.debian.net/_files/contrib/NeuroDebian_6.0.2+XNAT1.5.0-1_amd64.ova
+
+
+JIST Development Virtual Machine
+--------------------------------
+
+http://www.nitrc.org/projects/jist
+
+
+Cloud Solutions
+===============
-* NITRC?
+NeuroCloud
+----------
+http://gow.epsrc.ac.uk/ViewGrant.aspx?GrantRef=EP/I016856/1
-Cloud Images
-============
+.. * INCF Cloud App?
-* UK Grant project
-* INCF Cloud App?
+.. * NITRC?
.. include:: link_names.txt
*[us-tn]*
* `Australia's research and education network (AARNET)
<http://www.aarnet.edu.au>`_ *[au]*
+* Kiyotaka Nemoto (AKA Mr. Lin4Neuro_) *[jp]*
If your are interested in mirroring the repository, please see the :ref:`faq`.
.. _Comedi: http://www.comedi.org
.. _RTAI: https://www.rtai.org
.. |RTAI| replace:: :abbr:`RTAI (Real Time Application Interface)`
+.. _Lin4Neuro: http://www.nemotos.net/lin4neuro
.. Functional imaging labs
.. _`functional imaging laboratory`: http://www.fil.ion.ucl.ac.uk
set -u
# version of this script
-backports_dsc_version=0.1
+backports_dsc_version=0.2
############
# Defaults #
cat << EOT
backport-dsc $backports_dsc_version
-Copyright (C) 2010 Michael Hanke <michael.hanke@gmail.com>
+Copyright (C) 2010-2012 Michael Hanke <michael.hanke@gmail.com>
Licensed under GNU Public License version 2 or later.
This is free software; see the source for copying conditions. There is NO
Options:
-d <distname>, --target-distribution <distname>
- Arbitrary distribution name (e.g. lenny-backports). This will be the target
+ Arbitrary distribution name (e.g. squeeze-backports). This will be the target
distribution used for the backport changelog entry. The distribution name
also serves as an identifier to search for backport patches in the source
package.
be sourced by backport-dsc. The following variables (each shown with an
example setting) can be used to pre-configure backport-dsc:
-bp_distribution="lenny-backports"
+bp_distribution="squeeze-backports"
Backport target distribution (see --backport-distribution)
bp_version_prefix="~"
- Version suffix (see --version-prefix)
+ Version prefix (see --version-prefix)
bp_version_suffix="bpo60"
Version suffix (see --version-suffix)
('date', float)]
-def make_figure(data):
+def make_figure(data, ymax):
fig = pl.figure(figsize=(14,3))
ax = fig.add_subplot(121)
- plot_datehist(ax, data, 10, [code for code in cfg.options('release codenames') if cfg.get('release codenames', code).count('Debian')], title="Debian", ymax=11)
+ plot_datehist(ax, data, 10, [code for code in cfg.options('release codenames') if cfg.get('release codenames', code).count('Debian')], title="Debian", ymax=ymax)
ax = fig.add_subplot(122)
- plot_datehist(ax, data, 10, [code for code in cfg.options('release codenames') if cfg.get('release codenames', code).count('Ubuntu')], title="Ubuntu", ymax=11)
+ plot_datehist(ax, data, 10, [code for code in cfg.options('release codenames') if cfg.get('release codenames', code).count('Ubuntu')], title="Ubuntu", ymax=ymax)
fig.autofmt_xdate()
return fig
date = datetime.strptime(date, "%d %b %Y")
data.append((ip.strip(), loc, suite, date2num(date)))
data = np.array(data, dtype=dt)
- make_figure(data).savefig(sys.argv[1], bbox_inches='tight', dpi=60)
+ make_figure(data, ymax=13).savefig(sys.argv[1], bbox_inches='tight', dpi=60)