1. ABOUT THE DATASET -------------------- Title: Data associated with "Thermoelectric Fingerprinting of Bloch- and Néel-type Skyrmions" Creator(s): Christopher E. A. Barker [1] Elias Saugar [2] Katharina Zeissler [1][3][4] Robert Puttock [1] Petr Klapetek[5][6] Olga Kazakova[1][7] Christopher H. Marrows[3] Oksana Chubykalo-Fesenko[2] and Craig Barton[1] Organisation(s): 1)National Physical Laboratory, Hampton Road, Teddington, TW11 0LW, United Kingdom 2)Instituto de Ciencia de Materiales de Madrid, ICMM–CSIC, Campus de Cantoblanco, C. Sor Juana Inés de la Cruz, 3, Madrid 28049, Spain 3)School of Physics and Astronomy, University of Leeds, Leeds LS2 9JT, United Kingdom 4)Bragg Centre for Materials Research, University of Leeds, Leeds LS2 9JT, United Kingdom 5)Czech Metrology Institute, Okruzni 772/31, Brno 10135, Czech Republic 6)Central European Institute of Technology (CEITEC), Brno University of Technology, Purkynova 123, Brno 612 00, Czech Republic. 7)Department of Electrical and Electronic Engineering, University of Manchester, Manchester, M13 9PL, United Kingdom Rights-holder(s): Unless otherwise stated, Copyright 2025 National Physical Laboratory Publication Year: 2025 Description: This dataset is associated with a paper on "Thermoelectric Fingerprinting of Bloch- and Néel-type Skyrmions", and contains various scanning probe microscopy datasets, these include; atomic and magnetic force microscopy; scanning thermoelectric microscopy micrographs. The samples were mounted in a commercial atomic force microscope (Aura NT-MDT) and electrical readout of the sample was synced to the microscopes' controller. A model was created to understand the role of spin-textures on the resultant thermoelectric effects allowing us to ascertain the spin texture measured in the experiments. Cite as: Barker et al., (2025) Dataset associated with 'Thermoelectric Fingerprinting of Bloch- and Néel-type Skyrmions'. University of Leeds. [Dataset] https://doi.org/10.5518/1763. Related publication: Barker et al., Thermoelectric Fingerprinting of Bloch- and Néel-type Skyrmions, Appl. Phys. Lett. (2025) (Accepted) Contact: Corresponding authors are Christopher H Marrows: c.h.marrows@leeds.ac.uk; and Craig Barton: craig.barton@npl.co.uk. 2. TERMS OF USE --------------- Copyright 2025 National Physical Laboratory, Instituto de Ciencia de Materiales de Madrid, Czech Metrology Institute, University of Leeds, Central European Institute of Technology (CEITEC) University of Glasgow, University of Manchester. 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 ---------------------------------- Title: Thermoelectric Fingerprinting of Bloch- and Néel-type Skyrmions This work was supported in part by the European Metrology Research Programme (EMRP) and EMRP participating countries under the European Metrology Programme for Innovation and Research (EMPIR) Project No. 17FUN08 TOPS: Metrology for topological spin structures. The project also received financial support from the UK government department for Science, Innovation and Technology through NMS funding (Metrology of complex systems for low energy computation). Financial support was also received through the PID2022-137567NBC21/ AEI/10.13039/501100011033 grant from the Spanish Ministry of Science and Innovation. Further support was also received through European Union Horizon 2020 funding scheme–(H2020 grant MAGicSky No. FET-Open-665095.103) 4. CONTENTS ----------- File listing Repository contains the following folders relating to each of the measurement methods. 1. Experimental data: This folder contains three datasets that are the processed SPM data used in Fig 1, specifically (topography) Topography 201-MS43-SO4-3Reps-(Ir-CoB-Pt); (MFM) MFM 201-MS43-SO4-3Reps-(Ir-CoB-Pt)_rotated; and SThEM Scan-14_4.5x6.5um_512_774px_0.02Hz_0.5Hz_SP_+1V_TipHeater_6V_Ch_Out_0.5uV-P2-ve-P10+ve-(Analayed)c_rotated. Each file contains some metadata that detail the scan size and units. 2. Modelling data: This folder contains three datasets from the TE modelling output for the Neel, Bloch skyrmions and example thermal output: (1) skyrmion_Neel_MTE_data.dat; (2) skyrmion_Bloch_MTE_data.dat; and (3) heatSpot.dat. Each data set for the TE calculations contains the separate responses for the ANE, PNE and AMTP as well the different Seebeck coefficients that were tested. (3) is example temperature data for a probe over the magnetic wire - this was used to compute the thermal gradient shown in the SI and used in the model to calculate the TE output. 3. SI: Contains the additional SThEM data sets that demonstrate additional skyrmions that were measured as part of this study. In this folder, are three subfolders: Figure S1; Figure S2; and Figure S3. Within these folders, are the .txt data files for the additional MFM and SThEM datasets shown in the SI material. The analysis script load these for subsequent plotting. 4. Analysis: Contains the python notebooks used to analyse the data - these scripts contain the processes to extract and load all data in this manuscript [and SI] as well as process the line profiles for Fig 1 and also the mixed spin state discussed in Fig 4. The directories will need to be modified in order to run them correctly; input to these scripts are the text files located in the experimental and modelling folders. 5. METHODS ---------- MFM and AFM Data was taken using an Ntegra Aura Scanning Probe Microscope manufcatured by ND-MDT. Tips used were commercial LM probes manufactured by ND-MDT with a 40 nm coating of CoCr. Images presented in the paper were after first acquiring a II-pass MFM image, collecting topography and phase data. Analysis was performed using the software Gwyddion. SThEM data was performed using the same AFM with commercially available heated thermalever probes to apply a heat current. A nanovoltmeter was used to measure the resultant TE response from the magnetic device and the connected to the AFMs' controller such that syncronised readout could be mapped spatially with the attendant AFM data.