1. ABOUT THE DATASET -------------------- Title: Dataset Associated with Tailoring Ultrathin Magnetic Multilayers at Terraced Topologically Insulating Interfaces for Perpendicularly Magnetized Domains Creator(s): Benjamin A. Brereton [1, 2, 3], Soumyarup Hait [1], Ahmet Yagmur [1], Christy J. Kinane [2], Francesco Maccherozzi [3], Michele Conroy [4], Satoshi Sasaki [1], Thomas A. Moore [1], Sarnjeet S. Dhesi [3], Sean Langridge [2], and Christopher H. Marrows [1] Organisation(s): [1] School of Physics and Astronomy, University of Leeds, Leeds LS2 9JT, UK [2] ISIS Neutron and Muon Source, STFC Rutherford Appleton Laboratory, Harwell Science and Innovation Campus, Chilton, Oxfordshire OX11 0QX, UK [3] Diamond Light Source, Harwell Science and Innovation Campus, Chilton, Oxfordshire OX11 0DE, UK [4] Department of Materials, Imperial College London, Exhibition Road, London SW7 2AZ, UK Rights-holder(s):Unless otherwise stated, Copyright 2026 University of Leeds Publication Year: 2026 Description: This repository contains the dataset showing the characterisation and optimisation of PMA on topological insulator epilayers conducted between the University of Leeds, Diamond Light Source and ISIS Neutron and Muon source. This is done primarily through a combination of SQUID-VSM magnetometry, PEEM and PNR measurements. Relavent PNR data can be found in the ISIS database. Data associated with "Tailoring Ultrathin Magnetic Multilayers at Terraced Topologically Insulating Interfaces for Perpendicularly Magnetized Domains". Cite as: B. A. Brereton et al., (2026): Dataset Associated with Tailoring Ultrathin Magnetic Multilayers at Terraced Topologically Insulating Interfaces for Perpendicularly Magnetized Domains. University of Leeds. [Dataset] https://doi.org/10.5518/1847 Contact: Christopher H Marrows, christopher.h.marrows@leeds.ac.uk 2. TERMS OF USE --------------- [A standard copyright notice and licence statement with URL can be used, e.g. Copyright [publication year] [University of Leeds, name of other rights-holder(s)]. Unless otherwise stated, this dataset is licensed under a Creative Commons Attribution 4.0 International Licence: https://creativecommons.org/licenses/by/4.0/.] 3. PROJECT AND FUNDING INFORMATION ---------------------------------- Titles: "CAMIE" , "NAME" Dates: Dec 23 - Nov 28 ; Jun 21 - Jun 26 Funding organisation: EPSRC Grant no.: EP/X027074/1 and EP/V001914/1 4. CONTENTS ----------- (1) X-Rays This folder contains X-ray data from Fig 3. XRR/XRD data are stored in 2 collumn format: 2theta against counts as .dat files. GenX fits for silicon reference samples are included. Fits for TI-based samples are found in cofitted with neutron data in the PNR folder. (2) AFM This folder contains AFM data from figure 2. Files are stored in (Gwyddion-readable) .ibw format. (3) PEEM This folder contains zero field X-PEEM data from I06, Diamond Light Source from figure 8, as well as XAS data from SI figure 2. (4) STEM This folder contains HAADF-STEM imaging from figure 4. (5) PNR This folder contains the code and fitted parameters used in all 4 PNR fits. All python scripts defining the refl1d model is stored in the "Code" folder. It should be noted particularly the "Load_Data.py" script will need to be altered to match the location of downloaded PNR data before running. All fitted models are stored in the "fits" folder and are formatted as the standard refl1d outputs. Numbering 1 - 6 corresponds to decreasing field as outlined in the main paper. The highest number denotes the co-fitted x-ray model. Each model has a "contours.csv" file which contains the 1 and 2 sigma confidence ranges on the SLD profiles. These folders contain only the processed and stitched PNR curves not the raw TOF data. Raw data can be found under the included ISIS DOIs contained in the main paper. (6) SQUID-VSM All raw SQUID files for the buffer dependence shown in figure 5. Files are as outputed from Quantum Design MPMS 3 containing relavent data and metadata. SQUID data was analysed and extracted using the 'Stoner' Python package at https://github.com/stonerlab/Stoner-PythonCode. Files are organised by sample series: both Mo and Ta buffers on Bi2Se3 and Ta on Si with the relevant thickness of the buffer in the filename in nm. (7) MuMax3 Code Folder contains both the MuMax3 script used as well as the outputed vector file in .ovf format.