READ ME File for 'dataset.zip'

Dataset DOI: 10.5258/SOTON/D2429

Date that this file was created: 03/11/2022

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GENERAL INFORMATION
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READ ME Author: Stella L. Harrison, Hybrid Photonics Group, University of Southampton [https://orcid.org/0000-0002-0302-728X]

Date of data collection: Numerically modelled throughout 2021 and 2022, and prepared by 10/10/2022
(note: all data is numerically reproducable following the methods in the associated article)

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SHARING/ACCESS INFORMATION
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License: CC-BY

This dataset supports the publication: Minor embedding with Stuart-Landau oscillator networks (Accepted for publication 01/11/2022)
AUTHORS: Stella L. Harrison (S.L.Harrison@soton.ac.uk), Helgi Sigurdsson (H.Sigurdsson@soton.ac.uk) & Pavlos G. Lagoudakis (Pavlos.Lagoudakis@soton.ac.uk)
TITLE: Minor embedding with Stuart-Landau oscillator networks
JOURNAL: American Physical Society: Physical Review Research

PAPER DOI IF KNOWN: TBC

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DATA & FILE OVERVIEW
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This dataset contains:

** Data for FIG. 2(a)**
File name: fig2a.txt
File type: CSV
Data size: 12 x 37
rows 1-6: x-data for N = 5,10,15,20,25,30 respectively 
rows 7-12:y-data for N = 5,10,15,20,25,30 respectively

** Data for FIG. 2(b), solid lines**
File name:  fig2b_Jc1.txt
File type: CSV
Data size: 12 x 35
rows 1-6: x-data for N = 5,10,15,20,25,30 respectively 
rows 7-12:y-data for N = 5,10,15,20,25,30 respectively

** Data for FIG. 2(b), dashed lines**
File name:  fig2b_Jc10.txt
File type: CSV
Data size: 12 x 37
rows 1-6: x-data for N = 5,10,15,20,25,30 respectively 
rows 7-12:y-data for N = 5,10,15,20,25,30 respectively

** Data for FIG. 2(c), solid lines**
File name:  fig2c_Jc1.txt
File type: CSV
Data size: 12 x 35
rows 1-6: x-data for N = 5,10,15,20,25,30 respectively 
rows 7-12:y-data for N = 5,10,15,20,25,30 respectively

** Data for FIG. 2(c), dashed lines**
File name:  fig2c_Jc10.txt
File type: CSV
Data size: 12 x 37
rows 1-6: x-data for N = 5,10,15,20,25,30 respectively 
rows 7-12:y-data for N = 5,10,15,20,25,30 respectively

** Data for FIG. 3(a)**
File name:  fig3a.txt
File type: CSV
Data size: 12 x 40
rows 1-6: x-data for $\sigma$ = 10^-5,10^-4,10^-3,10^-2,10^-1,10^0 respectively 
rows 7-12:y-data for  $\sigma$ = 10^-5,10^-4,10^-3,10^-2,10^-1,10^0 respectively 

** Data for FIG. 3(b)**
File name:  fig3b.txt
File type: CSV
Data size: 12 x 40
rows 1-6: x-data for $\sigma$ = 10^-5,10^-4,10^-3,10^-2,10^-1,10^0 respectively 
rows 7-12:y-data for  $\sigma$ = 10^-5,10^-4,10^-3,10^-2,10^-1,10^0 respectively 

** Data for FIG. 3(c)**
File name:  fig3c.txt
File type: CSV
Data size: 12 x 40
rows 1-6: x-data for $\sigma$ = 10^-5,10^-4,10^-3,10^-2,10^-1,10^0 respectively 
rows 7-12:y-data for  $\sigma$ = 10^-5,10^-4,10^-3,10^-2,10^-1,10^0 respectively 

** Data for FIG. 3(d)**
File name:  fig3d.txt
File type: CSV
Data size: 12 x 40
rows 1-6: x-data for $\sigma$ = 10^-5,10^-4,10^-3,10^-2,10^-1,10^0 respectively 
rows 7-12:y-data for  $\sigma$ = 10^-5,10^-4,10^-3,10^-2,10^-1,10^0 respectively 

** Data for FIG. 3(e)**
File name:  fig3e.txt
File type: CSV
Data size: 12 x 16
rows 1-6: x-data for $\sigma$ = 10^-5,10^-4,10^-3,10^-2,10^-1,10^0 respectively 
rows 7-12:y-data for  $\sigma$ = 10^-5,10^-4,10^-3,10^-2,10^-1,10^0 respectively 

** Data for FIG. 4(a), red solid line (unembedded, unlooped)**
File name:  fig4a_unembedded_unlooped.txt
File type: CSV
Data size: 2 x 20
row 1: x-data
row 2: y-data  

** Data for FIG. 4(a), red dashed line (embedded, unlooped)**
File name:  fig4a_embedded_unlooped.txt
File type: CSV
Data size: 2 x 20
row 1: x-data
row 2: y-data  

** Data for FIG. 4(a), blue solid line (unembedded, looped)**
File name:  fig4a_unembedded_looped.txt
File type: CSV
Data size: 2 x 20
row 1: x-data
row 2: y-data  

** Data for FIG. 4(a), blue dashed line (embedded, looped)**
File name:  fig4a_embedded_looped.txt
File type: CSV
Data size: 2 x 20
row 1: x-data
row 2: y-data  

** Data for FIG. 4(b)**
File name:  fig4b.txt
File type: CSV
Data size: 180 x 10001
rows 1-90: x-data for each of the 90 oscillators
rows 91-180: y-data  for each of the 90 oscillators

** Data for FIG. 4(c), black solid line (complete graph)**
File name:  fig4c_complete.txt
File type: CSV
Data size: 2 x 20
row 1: x-data
row 2: y-data  

** Data for FIG. 4(c), lilac solid line (unembedded, J_c=10)**
File name:  fig4c_unembedded_Jc10.txt
File type: CSV
Data size: 2 x 20
row 1: x-data
row 2: y-data  

** Data for FIG. 4(c), lilac dashed line (embedded, J_c=10)**
File name:  fig4c_embedded_Jc10.txt
File type: CSV
Data size: 2 x 20
row 1: x-data
row 2: y-data  

** Data for FIG. 4(c), cyan solid line (unembedded, J_c=20)**
File name:  fig4c_unembedded_Jc20.txt
File type: CSV
Data size: 2 x 20
row 1: x-data
row 2: y-data  

** Data for FIG. 4(c), cyan dashed line (embedded, J_c=20)**
File name:  fig4c_embedded_Jc20.txt
File type: CSV
Data size: 2 x 20
row 1: x-data
row 2: y-data  

** Data for FIG. 5(a), solid lines (unembedded)**
File name:  fig5a_unembedded.txt
File type: CSV
Data size: 11 x 20
row 1: x-data
rows 2-11: y-data for N = 5,10,15,20,25,30,35,40,45,50 respectively

** Data for FIG. 5(a), dashed lines (embedded)**
File name:  fig5a_embedded.txt
File type: CSV
Data size: 11 x 20
row 1: x-data
rows 2-11: y-data for N = 5,10,15,20,25,30,35,40,45,50 respectively

** Data for FIG. 5(a), solid lines (unembedded)**
File name:  fig5b_unembedded.txt
row 1: x-data
rows 2-11: y-data for N = 5,10,15,20,25,30,35,40,45,50 respectively

** Data for FIG. 5(b), dashed lines (embedded)**
File name:  fig5b_embedded.txt
File type: CSV
Data size: 11 x 20
File type: CSV
Data size: 11 x 20
row 1: x-data
rows 2-11: y-data for N = 5,10,15,20,25,30,35,40,45,50 respectively

** Data for FIG. 6(a)**
File name:  fig6a.txt
File type: CSV
Data size: 6 x 11
row 1: x-data
rows 2-6: y-data for N = 20,40,60,80,100 respectively

** Data for FIG. 6(b)**
File name:  fig6b.txt
File type: CSV
Data size: 6 x 11
row 1: x-data
rows 2-6: y-data for N = 20,40,60,80,100 respectively

** Data for FIG. 6(c)**
File name:  fig6c.txt
File type: CSV
Data size: 6 x 11
row 1: x-data
rows 2-6: y-data for N = 20,40,60,80,100 respectively

** Data for FIG. 6(d)**
File name:  fig6d.txt
File type: CSV
Data size: 6 x 11
row 1: x-data
rows 2-6: y-data for N = 20,40,60,80,100 respectively

** Data for FIG. 7(a)**
File name:  fig7a.txt
File type: CSV
Data size: 3 x 6
row 1: x-data
rows 2-3: y-data for $\eta$ = 0,0.04 respectively

** Data for FIG. 7(b)**
File name:  fig7b.txt
File type: CSV
Data size: 6 x 66689
row 1: x-data
rows 2-6: y-data for each of the 5 oscillators

** Data for FIG. 7(c)**
File name:  fig7c.txt
File type: CSV
Data size: 21 x 1652725
row 1: x-data
rows 2-21: y-data for each of the 20 oscillators

** Data for FIG. 7(d)**
File name:  fig7d.txt
File type: CSV
Data size: 21 x 1440577
row 1: x-data
rows 2-21: y-data for each of the 20 oscillators

** Data for FIG. 9(a), solid lines**
File name:  fig9a_Jc1.txt
File type: CSV
Data size: 12 x 35
rows 1-6: x-data for N = 5,10,15,20,25,30 respectively 
rows 7-12:y-data for N = 5,10,15,20,25,30 respectively

** Data for FIG. 9(a), dashed lines**
File name:  fig9a_Jc10.txt
File type: CSV
Data size: 12 x 37
rows 1-6: x-data for N = 5,10,15,20,25,30 respectively 
rows 7-12:y-data for N = 5,10,15,20,25,30 respectively

** Data for FIG. 9(b), solid lines**
File name:  fig9b_Jc1.txt
File type: CSV
Data size: 12 x 35
rows 1-6: x-data for N = 5,10,15,20,25,30 respectively 
rows 7-12:y-data for N = 5,10,15,20,25,30 respectively

** Data for FIG. 9(b), dashed lines**
File name:  fig9b_Jc10.txt
File type: CSV
Data size: 12 x 37
rows 1-6: x-data for N = 5,10,15,20,25,30 respectively 
rows 7-12:y-data for N = 5,10,15,20,25,30 respectively

** Data for FIG. 10**
This data can be reproduced following the manuscript.
If graph data from this figure is required, please email Dr Helgi Sigurdsson at H.Sigurdsson@soton.ac.uk.

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METHODOLOGICAL INFORMATION
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Description of methods used for collection/generation of data: All data was numerically modelled following the equations detailed in the journal article.

All numerics were carried out using MATLAB, and any calculations using the basin hopping optimisation technique were performed using Python.

All data is given by comma separated values in .txt files, which do not require specific software to read.

People invlolved with data collection, processing and analysis:
- Figures 1-9: Stella L. Harrison
- Figure 10: Helgi Sigurdsson