[Blends-commit] r3224 - /projects/science/trunk/debian-science/tasks/electrophysiology
mih at users.alioth.debian.org
mih at users.alioth.debian.org
Sat Mar 10 16:28:29 UTC 2012
Author: mih
Date: Sat Mar 10 16:28:28 2012
New Revision: 3224
URL: http://svn.debian.org/wsvn/blends/?sc=1&rev=3224
Log:
Add python-neuroshare, and minor changes.
Modified:
projects/science/trunk/debian-science/tasks/electrophysiology
Modified: projects/science/trunk/debian-science/tasks/electrophysiology
URL: http://svn.debian.org/wsvn/blends/projects/science/trunk/debian-science/tasks/electrophysiology?rev=3224&op=diff
==============================================================================
--- projects/science/trunk/debian-science/tasks/electrophysiology (original)
+++ projects/science/trunk/debian-science/tasks/electrophysiology Sat Mar 10 16:28:28 2012
@@ -243,11 +243,12 @@
of timestamps in binary format. Timestamps are 32-bit longs at a
resolution of 10 timestamps/ms.
- ; Added by blends-inject 0.0.7. [s/Vcs-SVN/Vcs-Svn]
+ ; Added by blends-inject 0.0.7. [Please note here if modified manually]
Suggests: neo
Homepage: http://neuralensemble.org/trac/neo
Language: Python
WNPP: 659691
+Responsible: NeuroDebian Team <team at neuro.debian.net>
License: BSD
Vcs-Svn: https://neuralensemble.org/svn/neo/
Pkg-Description: IO library for electrophysiological data formats in Python
@@ -327,3 +328,25 @@
Published-Title: EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics
Published-Year: 2004
Registration: http://sccn.ucsd.edu/eeglab/install.html
+
+ ; Added by blends-inject 0.0.7. [Please note here if modified manually]
+Suggests: python-neuroshare
+Homepage: https://github.com/G-Node/python-neuroshare
+Language: Python
+WNPP: 663116
+Responsible: NeuroDebian Team <team at neuro.debian.net>
+License: LGPL-2.1
+Vcs-Git: https://github.com/G-Node/python-neuroshare
+Pkg-Description: Python interface and tools for Neuroshare
+ The Neuroshare API is an interface for accessing electrophysiology data
+ from files in proprietary formats. To do so it uses vendor-provided
+ shared libraries that can be downloaded free of charge.
+ .
+ This package provides a high-level Python interface to the Neuroshare
+ API that focuses on convenience for the user and enables access to
+ all available metadata and data. The data is returned in NumPy arrays,
+ which provides a quick route to further examination and analysis.
+ .
+ In addition, this package contains the ns2hdf converter tool that
+ converts neuroshare-compatible files into the HDF5 (Hierarchical Data
+ Format, version 5) file format.
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