This folder contains ASCII files for the (x,y,error) data plotted in Figs.2c, 4a, S3g and S4
and the intensity colormaps in Figs.2a-b, 3a-f and S3e

the supplied matlab code check_dataupload.m plots all the figures when run in the same directy as the unzipped data files
check_dataupload

(x,y,error) data
+++++++++++++++++++++++
fig_2c.xye   5-column format [Energy(data) Intensity(data) Error_Intensity(data) Energy(sim) Intensity(sim)]
			for the plotted data and simulation points, Intensities and Errors correspond to the measured raw counts (unsmoothed) after non-magnetic background subtraction 
fig_4a_0T_80K.xye	3 column [Energy Intensity Error_Intensity]
fig_4a_0T.xye		5 column [Energy(data) Intensity(data) Error_Intensity(data) Energy(sim) Intensity(sim)]
fig_4a_4T.xye		5 column [Energy(data) Intensity(data) Error_Intensity(data) Energy(sim) Intensity(sim)] 
fig_4a_8p5T.xye		5 column [Energy(data) Intensity(data) Error_Intensity(data) Energy(sim) Intensity(sim)]
fig_S3g.xye			3 column [Energy Intensity Error_Intensity]
fig_S4a.xy	[2theta counts]
fig_S4b.xy	[2theta counts]
fig_S5.xy  [Temperature(K) InvChi]


Colour map figures
++++++++++++++++++++
The intensity colour map figures have a 3-column format [Q(Angs-1) E(meV) Intensity] 
with coordinats (Q,E) and intensities (I) of all contributing pixels, (I) are the measured 
raw counts minus non-magnetic background, then smoothed between neighbouring detectors and 
energy bins by a convolving matrix with weights [0.1  0.2  0.1; 0.2  0.8  0.2  ; 0.1  0.2  0.1] 
to have a smoother colour variation between neighbouring pixels in the plotted intensity map.
The intensities in Figs 2a-b) and S3e are convolved once in this manner, whereas Figs.3a-f) 
are convolved applying this smoothing matrix 3 times. 
  
To obtain the plots in the paper could use the matlab code given below to reshape data into a 
2D matrix format, convert from centre to bin edges, then use pcolor with apropriate axes and 
intensity limits to plot the intensity map with the supplied rainbow colormap 
coltab.dat (RGB format)  
  
fig_2a.dat 		
		% set data file information, 2D intensity matrix size, axes and intensity limits for the plot  
		filename='fig_2a.dat';n=209;m=590;ax=[0.18 1.85 -0.5 7];ilims=[0 500];
		
		% general plotting code  
		a=load(filename,'ascii');x=reshape(a(:,1),n,m);y=reshape(a(:,2),n,m);z=reshape(a(:,3),n,m);
		xx=(x(1:(end-1),:)+x(2:end,:))/2;x1=x(1,:)-(-x(1,:)+xx(1,:));xn=x(end,:)+(x(end,:)-xx(end,:));xb=[x1;xx;xn];xb(:,end+1)=xb(:,end);			
        yy=(y(:,1:(end-1))+y(:,2:end))/2;y1=y(:,1)-(-y(:,1)+yy(:,1));yn=y(:,end)+(y(:,end)-yy(:,end));yb=[y1 yy yn];yb(end+1,:)=yb(end,:);
		z(end+1,:)=NaN;z(:,end+1)=NaN;
		figure(101);pcolor(xb,yb,z);load coltab.dat -ascii; shading flat; axis(ax);colormap(coltab);caxis(ilims);
		
fig_2b.dat  use same code as above, but update:
		filename='fig_2b.dat';n=77;m=81;ax=[0.18 1.85 -0.5 7];ilims=[0 500]; 

fig_3a.dat  use 
            filename='fig_3a.dat';n=41;m=451;ax=[0.35 0.85 0 2];ilims=[0 1];
			followed by the plotting code   
fig_3b.dat 
fig_3c.dat use sams as for 3a, update only filename 

fig_3d.dat  use 
            filename='fig_3d.dat';n=41;m=251;ax=[0.35 0.85 0 2];ilims=[0 1];
			followed by the plotting code  
fig_3e.dat 
fig_3f.dat use sams as for 3a, update only filename 

fig_S3e.dat use   
            filename='fig_S3e.dat';n=211;m=590;ax=[0.15 2 -5 5];ilims=[0 500]; 
			followed by the plotting code   

