READ ME File For 'High-efficiency reflector-less dual-level silicon photonic grating coupler' Dataset DOI: 10.5258/SOTON/D2550 Date that the file was created: 07, 2023 ------------------- GENERAL INFORMATION ------------------- ReadMe Author: Valerio Vitali, University of Southampton [ORCID ID: 0000-0003-0965-7503] Date of data collection: April 2020 - April 2023 Information about geographic location of data collection: Southampton Related projects: Silicon-rich silicon nitride Nonlinear Integrated Photonic ciRcuits & Systems (juNIPeRS) -------------------------- SHARING/ACCESS INFORMATION -------------------------- Licenses/restrictions placed on the data, or limitations of reuse: CC BY This dataset supports the publication: AUTHORS: Valerio Vitali, Thalía Domínguez Bucio, Cosimo Lacava, Riccardo Marchetti, Lorenzo Mastronardi, Teerapat Rutirawut, Glenn Churchill, Joaquín Faneca, James C. Gates, Frederic Gardes & Periklis Petropoulos TITLE: High-efficiency reflector-less dual-level silicon photonic grating coupler JOURNAL: Photonics Research PAPER DOI IF KNOWN: https://doi.org/10.1364/PRJ.488970 -------------------- DATA & FILE OVERVIEW -------------------- This dataset contains: data_figures.xlsx: this file is an excel file with different tabs. In each tab it is possible to find the data that have been used to generate each plot of the article, with the corresponding "X axis" data, "Y axis" data and, if present, "Z axis" data for contour plots. Each tab is named accordingly to the respective figure in the article. -------------------------- METHODOLOGICAL INFORMATION -------------------------- Description of methods used for collection/generation of data: Numerical simulations data were generated using the "Lumerical software" (both MODE Solutions and FDTD Solutions) from Ansys. Data were then analyzed and plotted using Matlab software. Experimental results data were collected by carrying out experimental measurements as described in details in the main manuscript. Data were then analyzed and plotted using Matlab software. Methods for processing the data: Matlab Software- or Instrument-specific information needed to interpret the data, including software and hardware version numbers: Matlab (any version) People involved with sample collection, processing, analysis and/or submission: Valerio Vitali, Thalía Domínguez Bucio, Cosimo Lacava, Riccardo Marchetti, Lorenzo Mastronardi, Teerapat Rutirawut, Glenn Churchill, Joaquín Faneca, James C. Gates, Frederic Gardes & Periklis Petropoulos