Updated attribution text.

docs/source/user_libs_antennas.rst

@@ -11,14 +11,7 @@ Information
 
 **License**: Creative Commons Attribution-ShareAlike 4.0 International License (http://creativecommons.org/licenses/by-sa/4.0/)
 
-.. code-block:: python
-
-    # Copyright (C) 2015-2016, Craig Warren
-    #
-    # This module is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.
-    # To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/4.0/.
-    #
-    # Please use the attribution at http://dx.doi.org/10.1190/1.3548506
+**Attribution/cite**: Warren, C., Giannopoulos, A. (2011). Creating finite-difference time-domain models of commercial ground-penetrating radar antennas using Taguchi's optimization method. *Geophysics*, 76(2), G37-G47. (http://dx.doi.org/10.1190/1.3548506)
 
 The module currently features models of antennas similar to commercial antennas:
 

docs/source/user_libs_austinman.rst

@@ -13,12 +13,7 @@ Information
 
 **License**: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License (http://creativecommons.org/licenses/by-nc-nd/3.0/)
 
-.. code-block:: python
-
-    # This module is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.
-    # To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/.
-    #
-    # Please use the attribution at http://web.corral.tacc.utexas.edu/AustinManEMVoxels/AustinMan/citing_the_model/index.html
+**Attribution/cite**: Please follow the instructions at http://web.corral.tacc.utexas.edu/AustinManEMVoxels/AustinMan/citing_the_model/index.html
 
 AustinMan and AustinWoman (http://bit.ly/AustinMan) are open source electromagnetic voxel models of the human body, which are developed by the Computational Electromagnetics Group (http://www.ece.utexas.edu/research/areas/electromagnetics-acoustics) at The University of Texas at Austin (http://www.utexas.edu). The models are based on data from the National Library of Medicine’s Visible Human Project (https://www.nlm.nih.gov/research/visible/visible_human.html).
 

docs/source/user_libs_landmines.rst

@@ -11,14 +11,7 @@ Information
 
 **License**: Creative Commons Attribution-ShareAlike 4.0 International License (http://creativecommons.org/licenses/by-sa/4.0/)
 
-.. code-block:: python
-
-    # Copyright (C) 2016, Iraklis Giannakis
-    #
-    # This module is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.
-    # To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/4.0/.
-    #
-    # Please use the attribution at http://dx.doi.org/10.1109/JSTARS.2015.2468597
+**Attribution/cite**: Giannakis, I., Giannopoulos, A., Warren, C. (2016). A Realistic FDTD Numerical Modeling Framework of Ground Penetrating Radar for Landmine Detection. *IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing*, 9(1), 37-51. (http://dx.doi.org/10.1109/JSTARS.2015.2468597)
 
 The module currently features models of different anti-personnel (AP) landmines and a metal can which can be used as a false target. They are:
 

docs/source/user_libs_opt_taguchi.rst

@@ -11,14 +11,7 @@ Information
 
 **License**: Creative Commons Attribution-ShareAlike 4.0 International License (http://creativecommons.org/licenses/by-sa/4.0/)
 
-.. code-block:: python
-
-    # Copyright (C) 2015-2016, Craig Warren
-    #
-    # This module is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.
-    # To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/4.0/.
-    #
-    # Please use the attribution at http://dx.doi.org/10.1190/1.3548506
+**Attribution/cite**: Warren, C., Giannopoulos, A. (2011). Creating finite-difference time-domain models of commercial ground-penetrating radar antennas using Taguchi's optimization method. *Geophysics*, 76(2), G37-G47. (http://dx.doi.org/10.1190/1.3548506)
 
 The package features an optimisation technique based on Taguchi's method. It allows users to define parameters in an input file and optimise their values based on a fitness function, for example it can be used to optimise material properties or geometry in a simulation.