Dataset used in manuscript Tailored Nanoscale Plasmon-Enhanced Vibrational Electron Spectroscopy

  1. Tizei, Luiz H. G. 1
  2. Mkhitaryan, Vahagn 2
  3. Lourenço-Martins, Hugo 1
  4. Scarabelli, Leonardo 3
  5. Watanabe, Kenji 4
  6. Taniguchi, Takashi 4
  7. Tencé, Marcel 1
  8. Jean-Denis Blazit 1
  9. Xiaoyan Li 1
  10. Gloter, Alexandre 1
  11. Zobelli, Alberto 1
  12. Franz-Philipp Schmidt 5
  13. Liz-Marzán, Luis M. 6
  14. Abajo, F. Javier Garcia De 7
  15. Stéphan, Odile 1
  16. Kociak, Mathieu 1
  1. 1 Laboratoire de Physique des Solides, Université Paris-Saclay, CNRS, 91405 Orsay, France
  2. 2 The Barcelona Institute of Science and Technology, ICFO-Institut de Ciencies Fotoniques, 08860 Castelldefels (Barcelona), Spain
  3. 3 CIC biomaGUNE and Ciber-BBN, 20014 Donostia-San Sebastián, Spain; Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, California 90095, United States;
  4. 4 National Institute for Materials Science, Tsukuba, Ibaraki 305-0044, Japan
  5. 5 Institute of Physics, University of Graz, 8010 Graz, Austria
  6. 6 CIC biomaGUNE and Ciber-BBN, 20014 Donostia-San Sebastián, Spain; Ikerbasque, Basque Foundation for Science, 48013 Bilbao, Spain
  7. 7 The Barcelona Institute of Science and Technology, ICFO-Institut de Ciencies Fotoniques, 08860 Castelldefels (Barcelona), Spain; ICREA-Institució Catalana de Recerca i Estudis Avanats, 08010 Barcelona, Spain
Mostrar afiliacións +

Editor: Zenodo

Ano de publicación: 2020

Tipo: Dataset

CC BY 4.0

DOI: 10.5281/ZENODO.3787227 lock_openAcceso aberto editor

Resumo

This file contains the raw dataset used in the manuscript "Tailored Nanoscale Plasmon-Enhanced Vibrational Electron Spectroscopy" published in L. H. G. Tizei et al Nano Letters, 2020 (doi: 10.1021/acs.nanolett.9b04659) <br> Data has been acquired using Nion Swift (https://nionswift.readthedocs.io/en/stable/). Experimental details can be found in L. H. G. Tizei et al Nano Letters, 2020 (doi: 10.1021/acs.nanolett.9b04659).<br> <br> The dataset has been analyzed using the following Python libraries: Numpy, Scipy, Hyperspy, Matplotlib EELS hyperspectral images have been aligned using the Hyperspy "align1D" method. Aligned EELS hyperspectral images are saved in files finished with "_Aligned.hspy": For the strong coupling experiments:<br> Tip 1 is on hBN<br> Tip 2 is on vacuum For each of the nanowires tips, a file with the fitted coefficients are available, as well as a plot of the data and the fitted curve. Datasets have been fitted with gaussian and/or lorentizan functions, as described in the published text. Any question can be forwarded to the corresponding authors of the published text.