updated tags, see fieldtrip#810

example/bids.md

@@ -1,6 +1,6 @@
 ---
 title: BIDS - the brain imaging data structure
-tags: [bids, sharing]
+tags: [example, bids, sharing]
 ---
 
 # BIDS - the brain imaging data structure

example/neuromag_aligned2mni.md

@@ -2,12 +2,12 @@
 title: Read neuromag .fif mri and create a MNI-aligned single-shell head model
 ---
 
+# Read neuromag .fif mri and create a MNI-aligned single-shell head model
+
 {% include markup/red %}
 The below example code is hopelessly outdated (thus deprecated) and will probably not work anymore. This page is kept in place just for reference. If you ended up on this page because you are curious to learn about the creation of dipole grids from .fif MRI, please look at [this](/example/sourcemodel_aligned2mni) example script.
 {% include markup/end %}
 
-# Read neuromag .fif mri and create a MNI-aligned single-shell head model
-
 This example script is derived from the example script [Create MNI-aligned grids in individual head_space](/example/sourcemodel_aligned2mni). But for Neuromag data there are some differences. First make a MNI template as is done in the above mentioned example script.
 
     %==================================================================

example/planar_orientation.md

@@ -1,13 +1,11 @@
 ---
 title: Find the orientation of planar gradiometers
-tags: [neuromag, planar]
+tags: [example, neuromag, planar]
 ---
 
 # Find the orientation of planar gradiometers
 
-The Neuromag/Elekta/Megin Vectorview and Triux scanners have a combination of magnetometers and two planar gradiometers at each sensor location.
-
-This is further detailed in the Neuromag/Elekta/MEGIN System Hardware Users' Guide and on [this page](http://imaging.mrc-cbu.cam.ac.uk/meg/VectorviewDescription#Magsgrads).
+The Neuromag/Elekta/Megin Vectorview and Triux scanners have a combination of magnetometers and two planar gradiometers at each sensor location. This is detailed in the Neuromag/Elekta/MEGIN System Hardware Users' Guide and on [this page](http://imaging.mrc-cbu.cam.ac.uk/meg/VectorviewDescription#Magsgrads).
 
 The following code demonstrates how you can determine the orientation of the two planar channels at each location.
 

example/sphere_fitting.md

@@ -1,5 +1,6 @@
 ---
 title: Fitting a template MRI to the MEG Polhemus head shape
+tags: [example, headmodel, meg]
 redirect_from:
    - /example/sphere_fitting_and_scaling_of_the_template_colin_27_mri_to_the_meg_polhemus_headshape/
 ---
@@ -11,15 +12,15 @@ This example script demonstrates how to fit a sphere to the MEG Polhemus recorde
     load standard_mri % Colin 27 template in fieldtrip
 
     % read MEG sensor location
-    MEG_sens = ft_read_sens(dataset, 'senstype', 'meg');
-    MEG_sens = ft_convert_units(MEG_sens, 'mm');
+    grad = ft_read_sens(dataset, 'senstype', 'meg');
+    grad = ft_convert_units(grad, 'mm');
 
     % read polhemus headshape
     headshape = ft_read_headshape(dataset);
     headshape = ft_convert_units(headshape, 'mm');
 
     save headshape headshape
-    save MEG_sens MEG_sens
+    save grad grad
 
     % realign to neuromag coordinate system
     lpa    = [  7 104  26];
@@ -34,7 +35,7 @@ This example script demonstrates how to fit a sphere to the MEG Polhemus recorde
     cfg.fiducial.rpa    = rpa;
     cfg.fiducial.zpoint = zpoint;
     cfg.coordsys        = 'neuromag';
-    mri_realigned_fiducial      = ft_volumerealign(cfg,mri);
+    mri_realigned_fiducial = ft_volumerealign(cfg,mri);
 
     cfg           = [];
     cfg.output    = {'brain','skull','scalp'};
@@ -125,7 +126,7 @@ This example script demonstrates how to fit a sphere to the MEG Polhemus recorde
     brain_scaled    = ft_prepare_mesh(cfg, segmentedmri);
 
     figure
-    %ft_plot_sens(MEG_sens, 'style', '*b');
+    % ft_plot_sens(grad, 'style', '*b');
     ft_plot_headshape(headshape_denosed);
     hold on
     ft_plot_mesh(scalp_scaled, 'edgecolor', 'none', 'facecolor', [1 1 1]/1.2, 'facealpha',  0.5)