Replication data for: Ohmic response in BiFeO3 domain walls by submicron-scale four-point probe resistance measurements

DOI

This dataset contains the raw data needed to reproduce the figures for the journal article "Ohmic response in BiFeO3 domain walls by submicron-scale four-point probe resistance measurements". It consists of the following data types:

1) Image data (.png and .tif)

2) Scanning probe microscopy data (.spm and .ibw), which can be opened with the freeware Gwyddion. Data that has been processed with a denoising algorithm ends with .gsf.

3) Program code (.m), which can be opened with MATLAB for the image denoising code simulation.

Instructions on how to run the denoising code:

Using Matlab to run 'AFM_Image_Denoising_GUI.m';

Load data: select the .ibw file, input the channel number and click the button 'Load & Show', then you can see the image you want to process (It is not necessary to change 'Approx. Min Size' but you can change it if for checking other results);

Denoise: Click the 'Denoise' button, and you can see the denoising result;

Save: Click the 'Save as .gsf' button.

4) Electrical data (.xls), measured by a Keithley 4200 parameter analyzer. The files can be opened with Excel. The measurements are taken by multiple internal source-measure units (SMUs). Each file consists of several data columns such as time (s), voltage (V) or current (A) of the respective SMU and the respective error (the SMU number is noted in the header: AV is voltage from SMU1, BI is current from SMU2, etc.). From the current and voltage data, the 2-point and 4-point resistances can be calculated. Each .xls file is named after the figure in which the raw data was used. In case data was fitted, the current range of each fit is given in separate .txt files.

5) Finite element simulation files (.mph), which can be opened using the COMSOL software.

6) .dat files, which can be opened by any text editor.

7) .kicad_sch files, which can be opened by the Freeware KiCad.

The data is ordered according to the order of appearance in the manuscript.

Identifier
DOI https://doi.org/10.34894/XB8T9U
Related Identifier IsCitedBy https://doi.org/10.1002/aelm.202400794
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/XB8T9U
Provenance
Creator Rieck, Jan ORCID logo; Kolster, Marcel ORCID logo; Avila, Romar Angelo ORCID logo; Li, Mian ORCID logo; Rijnders, Guus ORCID logo; Koster, Gertjan ORCID logo; Palstra, Thomas ORCID logo; Huijink, Roeland (ORCID: 0000-0001-7355-941X); Noheda, Beatriz ORCID logo
Publisher DataverseNL
Contributor Groningen Digital Competence Centre; DataverseNL Network
Publication Year 2025
Rights CC0-1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Groningen Digital Competence Centre (rug.nl)
Representation
Resource Type Dataset
Format application/zip
Size 2800605; 6878950; 24332; 136528; 245417; 92434; 17368150; 201007; 5467464; 136600; 16105; 611596; 7994289
Version 1.1
Discipline Chemistry; Natural Sciences; Physics