[Description of methods used for collection/generation of data] Experiments obtained using magneto-optical Kerr effect, This work was supported by the European Community under the Horizon 2020 Program, Contract no. 101001290, 3DNANOMAG., Peer reviewed

[Description of methods used for collection/generation of data] Data was generated utilizing the code and model described in the main text of the publication.

[Methods for processing the data] Self-developed python code provided with data., Raw data for this publication, including Fourier-resolved magneto-optical Kerr effect maps and selected analysis of them, as shown in the paper., This work was supported by UKRI through an EPSRC studentship, EP/N509668/1 and EP/R513222/1, the European Community under the Horizon 2020 Program, Contract No. 101001290 (3DNANOMAG), the MCIN with funding from European Union NextGenerationEU (PRTR-C17.I1), and the Aragon Government through the Project Q-MAD., The data is structured in different folders for each of the figures: - Figure4: contains HDF5 file "ParticularCases.h5", with the necessary data to generate the maps shown in figure 4. - Figure5: contains as ".npy" files the values for the optical and magneto-optical parameters for figure (a), as well as the error as a function of the number of averages for figure (c). - ResultsTable: contains the files necessary to generate the results shown in table II. The files "sstate" correspond to the "S" error results, whereas the "shared" correspond to the "SC" error results of the table. - SM1: contains the HDF5 files to generate the maps shown in figure 1 of the supplementary material for the different materials specified in the text. - SM2: contains the HDF5 files to generate the maps shown in figure 2 of the supplementary material for linear polarization and the magnetic configurations specified in the text. - SM4: contains the data needed to generate the uniqueness plot. "One theta" and "Two theta" are the data-sets when using respectively one or two different incidence angles for different optical plane values. The numpy arrays inside contain the fit values for each of the variables as a function of the number of fits as described in the supplementary text. These should be compared with the Permalloy values written in the main text, an incidence angle of 60 degrees and an optical plane angle of 13 degrees., Peer reviewed

This dataset supports a study where precise 3D magnetic field control is achieved using a hexapole electromagnet system combined with a multi-layer perceptron neural network. The work demonstrates how the neural network enables to calibrate non-linear field responses when direct measurements at the position of interest are not feasible., The dataset includes code and processed data for reproducing the figures from the associated paper, and is intended to support further research in in-operando experiments that require high-precision field control. For more information about the code and data, please refer to the readme.txt file., The code was executed with Python 3.12, the dependencies are listed in requirements.txt., 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., Peer reviewed

This dataset supports a study investigating chiral spin textures in synthetic antiferromagnets (SAFs) mediated by interlayer Dzyaloshinskii-Moriya interaction (IL-DMI). Using a combination of X-ray resonant magnetic scattering (XRMS) and photoemission electron microscopy (PEEM), the work reveals how IL-DMI induces vector and scalar spin chirality across ferromagnetic layers with orthogonal magnetic anisotropies. The dataset includes: Processed XRMS and PEEM data used to derive the key magnetic textures reported. Scripts, in jupyter notebook format, for reproducing all figures from the associated publication. These resources are intended to support the continued exploration of IL-DMI-mediated interactions. For full details on dataset structure and usage, see the accompanying README.txt. The published paper is available at: https://doi.org/10.48550/arXiv.2404.07637., European Research Council: 3DNANOMAG 101001290., No

Cylindrical magnetic nanowires are promising systems for the development of three-dimensional spintronic devices. Here, we simulate the evolution of magnetic states during fabrication of strongly-coupled cylindrical nanowires with varying degrees of overlap. By varying the separation between wires, the relative strength of exchange and magnetostatic coupling can be tuned. Hence, we observe the formation of six fundamental states as a function of both inter-wire separation and wire height. In particular, two complex three-dimensional magnetic states, a 3D Landau Pattern and a Helical domain wall, are observed to emerge for intermediate overlap. These two emergent states show complex spin configurations, including a modulated domain wall with both Néel and Bloch character. The competition of magnetic interactions and the parallel growth scheme we follow (growing both wires at the same time) favours the formation of these anti-parallel metastable states. This works shows how the engineering of strongly coupled 3D nanostructures with competing interactions can be used to create complex spin textures.