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Research data supporting "Collective Mid-Infrared Vibrations in Surface-Enhanced Raman Scattering"


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Type

Dataset

Change log

Authors

Mueller, Niclas S 
Arul, Rakesh 
Jakob, Lukas A 
Blunt, Matthew Oliver 
Foldes, Tamas 

Description

This data set contains the experimental and simulation data for the manuscript. This includes SERS spectra and data, XPS data, and simulations. All files are given in .txt. Please see the read me file for further information how the repository is organized.

Version

Software / Usage instructions

The data were evaluated with the freely accessible programming language Python.

Keywords

collective vibration, mid-infrared, plasmonics, SERS, vibrational exciton

Publisher

Sponsorship
European Commission Horizon 2020 (H2020) Future and Emerging Technologies (FET) (829067)
European Commission Horizon 2020 (H2020) ERC (883703)
European Commission Horizon 2020 (H2020) Research Infrastructures (RI) (861950)
Engineering and Physical Sciences Research Council (EP/L015978/1)
Engineering and Physical Sciences Research Council (EP/L027151/1)
Engineering and Physical Sciences Research Council (2275079)
Engineering and Physical Sciences Research Council (EP/P024947/1)
We acknowledge support from the European Research Council (ERC) under Horizon 2020 research and innovation programme THOR (Grant Agreement No. 829067), PICOFORCE (Grant Agreement No. 883703) and POSEIDON (Grant Agreement No. 861950). We acknowledge funding from the EPSRC (Cambridge NanoDTC EP/L015978/1, EP/L027151/1). N.S.M. acknowledges support from the German National Academy of Sciences Leopoldina. R.A. acknowledges support from the Rutherford Foundation of the Royal Society Te Apārangi of New Zealand, the Winton Programme for the Physics of Sustainability, and Trinity College, University of Cambridge. L.A.J. acknowledges support from the Cambridge Commonwealth,European & International Trust and EPSRC award 2275079. We acknowledge use of the Cambridge XPS System, part of Sir Henry Royce Institute - Cambridge Equipment, EPSRC grant EP/P024947/1.
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