The Performance of Partial Least Squares Methods in Virtual Nanosensor Array - raw data

<p><span style="color:rgba( 0 , 0 , 0 , 0.87 );font-family:&#39;raleway&#39; , sans-serif;background-color:rgb( 251 , 251 , 251 );font-size:14px">These datasets contain the raw experimental data associated with the st<span style="background-color:rgb( 255 , 255 , 255 )">udy &#34;The Performance of Partial Least Squares Methods in Virtual Nanosensor Array-Multiple Metal Ions Sensing Based on Multispectral Fluorescence of Quantum Dots&#34;. The aim of the study was to evaluate how various parameters of chemometric analysis by Partial Least Squares methods influence the performance of metal ion discrimination and quantification based on their influence on the fluorescence response of quantum dots measured as a function of excitation and emission wavelengths. </span></span></p>