READ ME File For 'Data for Probing Excitons, Trions and Dark Excitons in Monolayer WS2 using Resonance Raman Spectroscopy'

Dataset DOI: 10.5258/SOTON/D0371

ReadMe 
Author: Liam McDonnell
Group: Nanomaterials, Quantum Light and Matter.
Department: Physics and Astronomy.
Faculty: Physical Sciences and Engineering.
University: University of Southampton.
Supervisor: Prof David C. Smith


This dataset supports the publication:
Liam McDonnell, Chung-Che Huang, Qingsong Cui, Daniel W. Hewak, and David C Smith (2018)
Probing Excitons, Trions and Dark Excitons in Monolayer WS2 using Resonance Raman Spectroscopy
Nano Letters
DOI: 10.1021/acs.nanolett.7b05184

Contents
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The folder published here contains the raw experimental data obtained during resonance Raman spectroscopy measurements on monolayer WS2 flakes.  
For a complete discussion of the results and techniques used see paper and supplementary information for more details. http://pubs.acs.org/doi/abs/10.1021/acs.nanolett.7b05184

Two excel spreadsheets have been provided. The first "RRS_Spectra.xlxs" contains the Raman spectra obtained from our experiments. 
The second "Supp_Figure.xlxs" contains data relating to the figures shown in the supplementary information,
such as, reflectivity spectra, photoluminescence spectra, power linearity spectra, Anti-Stokes and Stokes Raman spectra.
In each case the Raman spectra have been corrected for spectrometer efficiency (corrections for REF not applied to this data).
For a given temperature the data is contained within three separate spreadsheets: For example the 4K data set will be contained in the spreadsheets labelled ?4K Shift?, ?4K Intensity?, and ?4K WL?, which contain the Raman shift, intensity, and excitation wavelengths respectively. 




Geographic location of data collection: University of Southampton, U.K.

Related projects:
ADEPT Programme Grant, EP/N035437/1
National Hub in High Value Photonic Manufacturing, EP/N00762X/1
Complex Nanostructures by Supercritical Fluid Electrodeposition Programme Grant EP/I033394/1

Dataset available under a CC BY 4.0 licence


Publisher: University of Southampton, U.K.


Date: January 2018