5 research outputs found
Data for Shields stress 4.7
small and large grains number ratio time-series for Shields stress 4.7. Concentration map of large grains can be made using the following contour plot commands in MATLAB or other data analysis packages:<div><br></div><div>%%%%</div><div><p>nlratio_tot = nlg./(nsm+nlg);</p><p>for i=1:458</p><p>time_ts(i,:)=time;</p><p>end</p><p>y_pos = (1:1:458)*(25/458);</p><p>for i=1:length(time)</p><p>y_mesh(:,i)=y_pos;</p><p>end</p><p>[xq,yq] = meshgrid(0:0.0005:1,0:0.175:25);</p><p>vq = griddata(time_ts(1:458,1:length(time)),25-y_mesh(1:458,1:length(time)),nlratio_tot(1:458,1:length(time)),xq,yq);</p><p>figure; [C,h] = contourf(xq,yq,vq,'LineStyle', 'none','LevelStep', 0.01);</p><p>colormap parula;</p><p>%%%%</p></div
Data for Shields stress 3.8
small and large grains number ratio time-series for Shields stress 3.8. Concentration map of large grains can be made using the following contour plot commands in MATLAB or other data analysis packages:<div><br></div><div>%%%%</div><div><p>nlratio_tot = nlg./(nsm+nlg);</p><p>for i=1:458</p><p>time_ts(i,:)=time;</p><p>end</p><p>y_pos = (1:1:458)*(25/458);</p><p>for i=1:length(time)</p><p>y_mesh(:,i)=y_pos;</p><p>end</p><p>[xq,yq] = meshgrid(0:0.0005:1,0:0.175:25);</p><p>vq = griddata(time_ts(1:458,1:length(time)),25-y_mesh(1:458,1:length(time)),nlratio_tot(1:458,1:length(time)),xq,yq);</p><p>figure; [C,h] = contourf(xq,yq,vq,'LineStyle', 'none','LevelStep', 0.01);</p><p>colormap parula;</p><p>%%%%</p></div
Data for Shields stress 4.4
small and large grain number ratio time-series for Shields stress 4.4. Concentration map of large grains can be made using the following contour plot commands in MATLAB or other data analysis packages:<div><br></div><div>%%%%</div><div><p>nlratio_tot = nlg./(nsm+nlg);</p>
<p>for i=1:458</p>
<p>time_ts(i,:)=time;</p>
<p>end</p>
<p>y_pos = (1:1:458)*(25/458);</p>
<p>for i=1:length(time)</p>
<p>y_mesh(:,i)=y_pos;</p>
<p>end</p>
<p>[xq,yq] = meshgrid(0:0.0005:1,0:0.175:25);</p>
<p>vq = griddata(time_ts(1:458,1:length(time)),25-y_mesh(1:458,1:length(time)),nlratio_tot(1:458,1:length(time)),xq,yq);</p>
<p>figure; [C,h] = contourf(xq,yq,vq,'LineStyle', 'none','LevelStep', 0.01);</p>
<p>colormap parula;</p><p>%%%%</p></div
Matlab fig. format and data for Supplementary Fig. 3
Matlab fig. format and data for Supplementary Fig.
Data for Shields stress 2.7
small and large grain number ratio time-series for Shields stress 2.7. Concentration map of large grains can be made using the following contour plot commands in MATLAB or other data analysis packages:<div><br></div><div>%%%%</div><div><p>nlratio_tot = nlg./(nsm+nlg);</p><p>for i=1:458</p><p>time_ts(i,:)=time;</p><p>end</p><p>y_pos = (1:1:458)*(25/458);</p><p>for i=1:length(time)</p><p>y_mesh(:,i)=y_pos;</p><p>end</p><p>[xq,yq] = meshgrid(0:0.0005:1,0:0.175:25);</p><p>vq = griddata(time_ts(1:458,1:length(time)),25-y_mesh(1:458,1:length(time)),nlratio_tot(1:458,1:length(time)),xq,yq);</p><p>figure; [C,h] = contourf(xq,yq,vq,'LineStyle', 'none','LevelStep', 0.01);</p><p>colormap parula;</p><p>%%%%</p></div