SOAS
SOAS is the in-house electrochemistry sofware we use to analyse voltammetric data. We’re happy to provide it free and free of charge. It should install easily on Unix-like platforms: Linux and Mac OS X.
Soas is listed in ESTIR
Manual
The program is briefly described in the following paper: V. Fourmond et al. Bioelectrochemistry, 76, 141-147 (2009) doi:10.1016/j.bioelechem.2009.02.010 [pdf]
For another quick tour, look at the tutorial.
The complete SOAS manual is online and can also be downloaded as a pdf file.
Check on recent modifications of SOAS.
Here is the GILDAS/Greg manual.
Download / Install
Option 1: Build your own
SOAS uses the graphic program and libraries of GILDAS , which should be installed first (you do not need the latest version; note that we haven’t tested compatibility with GILDAS distributions younger than that released in august 2008). There are other prerequisites: check the README and INSTALL files for installation notes, and the FAQ.
The tarballs below include the source code and makefiles:
- soas-3.6.3.tar.gz (2008/02/20).
- soas-3.6.4.tar.gz (2008/05/06). This version fixes minor bugs.
- scalc version 0.2.1 is released (2008/10/29)
- soas-3.7.tar.gz (2008/12/09).
- soas-3.7.1.tar.gz (2009/03/10). NEWS, Last modifs.
Option 2: Install the binaries (Mac OS X only, 10.4 and above)
Kevin Hoke put together these self-extracting binary distributions of SOAS:
- soas-3.6.3.zip (2008/03/04).
- soas-3.6.4.zip (2008/05/23). install this first
- soas37.zip This binary might work on any mac that is running 10.5 (Leopard) or 10.6. It will not run on earlier versions of the MacOS.
Copyleft terms
SOAS uses public domain NETLIB numerical libraries. Redistribution and modifications of SOAS are possible under the terms of the GNU General Public License, see COPYING for details.
Thanks for thanking!
We welcome an acknowledgment in publications using soas software to analyze data. Please use the following reference:
V. Fourmond, K. Hoke, H. A. Heering, C. Baffert, F. Leroux, P. Bertrand, C. Léger “SOAS: a free software to analyse electrochemical data and other one-dimensional signals” Bioelectrochemistry, 76, 141-147 (2009) doi:10.1016/j.bioelechem.2009.02.010 [pdf]
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