GENERAL INFORMATION

1. Title of Dataset:
Dataset supporting publication "Remote-sensing based control of 3D magnetic fields using machine learning for in-operando applications".


2. Authors:
Miguel A. Cascales Sandoval, J. Jurczyk, L. Skoric, D. Sanz-Hernández, N. Leo, A. Kovacs, T. Schrefl, A. Hierro-Rodríguez, and A. Fernández-Pacheco.


3. Date of data collection:
2025.


4. Date of data publication on repository:
2025.


5. Geographic location of data collection:
Vienna (Austria).


6. Information about funding sources that supported the collection of the data (including research project reference/acronym):
This work was supported by Contract No. 101001290 (3DNANOMAG), the MCIN with funding from European Union NextGenerationEU (PRTR-C17.I1), and the Aragon Government through the Project Q-MAD.

7. Recommended citation for this dataset:
Same as title.

SHARING/ACCESS/CONTEXT INFORMATION

1. Usage Licenses/restrictions placed on the data (please indicate if different data files have different usage license):
CC-BY (for the data)
MIT (for the code)

2. Links to publications/other research outputs that cite the data:
N/A

3. Links to publications/other research outputs that use the data:
N/A

4. Links to other publicly accessible locations of the data:
https://doi.org/10.48436/1p8az-15q45

5. Links/relationships to ancillary data sets:
N/A

6. Was data derived from another source? If so, please add link where such work is located:
N/A


DATA & FILE OVERVIEW

1. File List:

There are different jupyter notebook files, one for each figure + supplementary, which when run read the files in the folder and generate the figures shown in the paper.
Refer to the notebook files in order to understand which file is which, and to what kind of measurement it corresponds. Inside the data folder, there is a brief description of the information contained by each file.

2. Relationship between files, if important:
N/A


3. Additional related data collected that was not included in the current data package:
N/A


4. Are there multiple versions of the dataset? If so, please indicate where they are located:
N/A



METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data:

Data was generated utilizing the methods described in the main text of the publication.

2. Methods for processing the data:

Self-developed python code provided with data.


3. Instrument- or software-specific information needed to interpret/reproduce the data, please indicate their location:

Figures can be readily generated with the corresponding python jupyter notebooks located in each of the folders. Refer to "requirements.txt" for a list of the python libraries needed to run these notebooks.


4. Standards and calibration information, if appropriate:
N/A


5. Environmental/experimental conditions:
N/A

6. Describe any quality-assurance procedures performed on the data:
Scientific standards

7. People involved with sample collection, processing, analysis and/or submission, please specify using CREDIT roles
All authors contributed to this work.


8. Author contact information:
Miguel Ángel Cascales Sandoval: <miguel.cascales@tuwien.ac.at>
Amalio Fernández-Pacheco: <amalio.fernandez-pacheco@tuwien.ac.at>
