Published April 6, 2026 | Version 1.0.0
Dataset Open

Data for "Ultrafast formation of a large dynamic magnetic soliton"

  • 1. ROR icon Brno University of Technology
  • 2. Paul Scherrer Institut, Villigen, Switzerland
  • 3. ROR icon Central European Institute of Technology
  • 4. ROR icon University of Vienna
  • 5. ROR icon Wolfgang Pauli Institute
  • 6. V. G. Baryakhtar Institute of Magnetism of the NAS of Ukraine
  • 7. ROR icon Institute of Magnetism
  • 8. Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau: Landau, Rheinland-Pfalz, DE
  • 9. ROR icon Helmholtz-Zentrum Berlin für Materialien und Energie
  • 10. Paul Scherrer Institut
  • 11. INNOVENT e.V. Technologieentwicklung, Jena, Germany
  • 12. ROR icon Innovent
  • 13. ROR icon Huazhong University of Science and Technology

Description

Open data archive
=================

Paper title:
Ultrafast formation of a large dynamic magnetic soliton

This archive contains source-data tables, figure files, selected raw data,
micromagnetic simulation files, and analysis utilities associated with the
paper. The data are organized primarily by the figure in which they are used.

Archive status
--------------

This is a working pre-upload version of the archive. The items listed under
"Pre-upload checklist" should be resolved before the public Zenodo deposit.

Directory guide
---------------

Fig1/
  Source-data tables and the PDF for manuscript Fig. 1. The schematic PDF was
  prepared in the free and open-source vector graphics editor Inkscape:
  https://inkscape.org/

Fig2/
  Working folder currently containing five source-data tables and a PDF for
  the Ga:YIG spin-wave-emission figure. See the figure-numbering item in the
  pre-upload checklist.

Fig3/
  Source-data tables and the PDF for manuscript Fig. 3. The RawData/
  subdirectory contains the original HDF5 measurement files and the
  M9-M6-Combined.py analysis script used for the time-resolved BLS data.

Fig4/
  Working folder currently containing two source-data tables for the Bi:YIG
  frequency-sweep figure. See the figure-numbering item in the pre-upload
  checklist.

ExtendedDataFigs/
  Source-data tables and figure files for Extended Data Figs. 1-7:
    ExDatFig1/  Bi:YIG sample characterization
    ExDatFig2/  Ga:YIG sample characterization
    ExDatFig3/  Linear dispersion relation and group velocity
    ExDatFig4/  Analytical-model profiles
    ExDatFig5/  Power- and frequency-dependent BLS intensity
    ExDatFig6/  Phase evolution during soliton formation
    ExDatFig7/  Time-resolved STXM data on Ga:YIG

MuMax3Codes/
  MuMax3 input scripts, analysis notebooks, and normalized antenna-field masks:
    BiYIG-4096x128-f11p0GHz-AmpSweep.mx3
    GaYIG-Amp_8mT-FieldSweep-DE.mx3
    Analysis_BiYIG-4096x128-f11p0GHz-AmpSweep.ipynb
    Analysis_GaYIG-Amp_8mT-FieldSweep-DE.ipynb
    STR_wirewidth_0.5um-analytic.ovf
    STR_wirewidth_2um-2025-12-11-analytic.ovf.ovf

PythonTools/
  LoadData.py
    Functions for reading MuMax3 OVF output files and loading single-component
    snapshot series for analysis.

 AntenaOVFcreatorAnalytical.py
    Utility used to calculate normalized stripline antenna fields. The script
    contains optional plotting and clipboard-export steps. See the dependency
    limitation in the pre-upload checklist.

Data formats
------------

CSV
  The figure source-data tables are comma-separated text files. Axes are
  included either as columns or as the first row and first column of matrix
  tables. Some files are currently encoded as Windows-1252; see the pre-upload
  checklist.

HDF5
  The raw time-resolved BLS measurement files for Fig. 3 are stored in
  Fig3/RawData/. Run M9-M6-Combined.py from that directory so that its relative
  file paths resolve correctly. The M9 measurement is shorter than the nominal
  acquisition grid expected by the script. M9-M6-Combined.py reports this and
  pads the missing tail with NaN values before analysis.

OVF
  The antenna-field masks are OOMMF OVF vector-field files for use with MuMax3.
  They contain three field components with units of tesla.

PDF and EPS
  The rendered figure files are included for reference. Extended Data Fig. 4
  is supplied as EPS because the analytical-model plot was generated as a
  vector EPS figure.

Software requirements
---------------------

The Python analysis utilities use Python 3 and, depending on the workflow:
  numpy
  pandas
  matplotlib
  h5py
  tqdm
  plotly
  pyperclip
  jupyter

The micromagnetic input scripts require MuMax3:
https://mumax.github.io/

Files

Ultrafast-formation-of-a-large-dynamic-magnetic-soliton-v-1-0-0.zip

Files (130.4 MB)

Additional details

Funding

European Commission
FeriMag - Ferrite heterostructures for integrated magnonics 101211677
Swiss National Science Foundation
Topological multilayer spin textures for nanoscale magnon emission and propagation 172517
Ministry of Education Youth and Sports
TERAFIT CZ.02.01.01/00/22_008/0004594