Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
19
datasets available to search
ShareScore release 0.7.1
Dataset results
19 results for “magnetic interactions”
Raw Data for "RASER MRI: Magnetic Resonance Images formed Spontaneously exploiting Cooperative Nonlinear Interaction"
<p>This upload contains the raw data used for Fig. 3-5 in "RASER MRI: Magnetic Resonance Images formed Spontaneously exploiting Cooperative Nonlinear Interaction". Experimental conditions and details about the datasets are given in a "ReadMe.txt" file.</p>
Nanoparticle clustering in supraparticles to control magnetic long-range interactions
<p>This data publication is based on the metadata and datasets underlying the manuscript: Nanoparticle clustering in supraparticles to control magnetic long-range interactions</p> <p>To tailor superparamagnetic iron oxide nanoparticles (SPIONs) to the specific needs of diverse application fields, it is essential to understand not only their intrinsic properties but also their interactions with each other. Theoretical models predicting/explaining the magnetization behavior of macroscopic samples containing millions of SPIONs are intricate due to the complexity of the underlying relaxation mechanisms in alternating fields. This study introduces supraparticles (SPs) as model architectures to empirically investigate magnetic interactions within and between large SPION clusters (> 100 nanoparticles). For this purpose, nanoparticle dispersions containing SPIONs and silica nanoparticles (SiO<sub>2</sub> NPs) as non‐magnetic building blocks are spray‐dried to form binary SPs. Selective salt‐induced agglomeration of the two building block types before spray‐drying is utilized to tailor SP architectures, including control over SPION cluster size, shape, and proximity. Magnetic particle spectroscopy (MPS), operating under ambient conditions, reveals altered magnetization behavior for different cluster structures. Not only the nearest SPION neighbors, but the whole cluster structure up to several micrometers is decisive for the magnetization behavior. This highlights the importance of long‐range magnetic interactions. This work presents a versatile approach for designing model architectures to advance empirical interaction studies between SPIONs in macroscopic samples.</p>
Magnetic interactions between radical pairs in chiral graphene nanoribbons
<p>OPEN DATA related to the research publication:</p> <p>T. Wang, S. Sanz, J. Castro-Esteban, J. Lawrence, A. Berdonces-Layunta, M. S. G. Mohammed, M. Vilas-Varela, M. Corso, D. Peña, T. Frederiksen, and D. G. de Oteyza<br> <em>Magnetic interactions between radical pairs in chiral graphene nanoribbons</em><br> Nano Lett. <strong>22</strong>, 164-171 (2022) [arXiv:2108.13473]</p> <p>Abstract: Open-shell graphene nanoribbons have become promising candidates for future applications, including quantum technologies. Here, we characterize magnetic states hosted by chiral graphene nanoribbons (chGNRs). The substitution of a hydrogen atom at the chGNR edge by a ketone effectively adds one p<sub>z</sub> electron to the π-electron network, producing an unpaired π-radical. A similar scenario occurs for regular ketone-functionalized chGNRs in which one ketone is missing. Two such radical states can interact via exchange coupling, and we study those interactions as a function of their relative position, which includes a remarkable dependence on the chirality, as well as on the nature of the surrounding ribbon, that is, with or without ketone functionalization. Besides, we determine the parameters whereby this type of system with oxygen heteroatoms can be adequately described within the widely used mean-field Hubbard model. Altogether, we provide insight to both theoretically model and devise GNR-based nanostructures with tunable magnetic properties.</p>
The complex non-collinear magnetic orderings in Ba2YOsO6: A new approach to tuning spin-lattice interactions and controlling magnetic orderings in frustrated complex oxides
<p><strong>Project abstract</strong>: Frustrated magnets are one class of fascinating materials that host many intriguing phases such as spin ice, spin liquid and complex long-range magnetic orderings at low temperatures. In this work we use first-principles calculations to find that in a wide range of magnetically frustrated oxides, at zero temperature a number of non-collinear magnetic orderings are more stable than the type-I collinear ordering that is observed at finite temperatures. The emergence of non-collinear orderings in those complex oxides is due to higher-order exchange interactions that originate from second-row and third-row transition metal elements. This implies a collinear-to-noncollinear spin transition at sufficiently low temperatures in those frustrated complex oxides. Furthermore, we find that in a particular oxide Ba2YOsO6, experimentally feasible uniaxial strain can tune the material between two different non-collinear magnetic orderings. Our work predicts new non- collinear magnetic orderings in frustrated complex oxides at very low temperatures and provides a mechanical route to tuning complex non-collinear magnetic orderings in those materials. <br> <br> <strong>About this entry</strong>: We provide the input files of our DFT calculations for the studied complex oxides. The structures in POSCAR format and the INCAR files for all stabilized magnetic orderings in our study are all included. These files can be directly used into DFT calculations with VASP. Only the versions of PAW potentials are included in POT.info files owing to the VASP license restrictions.</p>
Nuclear Magnetic resonance Dataset of 2D spectra of S100B and Tau to study their protein-protein interaction
<p>Nuclear Magnetic resonance dataset of 2D spectra corresponding to raw data of research published in Nature Communication in a communication entitled "Dynamic interactions and Ca2+ 1 -binding modulate the holdase-type chaperone activity of S100B preventing tau aggregation and seeding" by Moreira G. et al.</p> <p>Dataset corresponds to</p> <p>raw data files in Bruker format of NMR 2D spectra (ser), associated with files of acquisition parameters and processing parameters (pdata),</p> <p>files in .ucsf format that can be read with NMRFAM-Sparky (free download) of 2D spectra (in sub-directory pdata/1)</p> <p>files of chemical shift value lists that can be read as text files or in NMRFAM sparky together with the corresponding ucsf files.</p> <p>physico-chemical conditions are found in title in pdata\1</p> <p>Data were acquired on a Bruker 900-MHz spectrometer equipped with a triple-resonance cryogenic probe (Bruker, Karlsruhe, Germany)</p>
Confined dipole and exchange spin waves in a bulk chiral magnet with Dzyaloshinskii-Moriya interaction-Data files
<p>Raw data associated to the manuscript ‘Confined dipole and exchange spin waves in a bulk chiral magnet with Dzyaloshinskii-Moriya interaction.” File formats are described in info.txt files in the concerning folders. For plotting and data evaluation Matlab 2019b and OriginPro 2018b were used. </p> <p>We acknowledge financial support from the Swiss National Science Foundation (SNSF) via Grant No. 171003 Sinergia project Nanoskyrmionics, the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Grant No. TRR80 (From Electronic Correlations to Functionality, Project No. 107745057, and Projects No. E1 and No. F7), SPP2137 (Skyrmionics, Project No. 403191981, Grant No. PF393/19), and the excellence cluster MCQST under Germany’s Excellence Strategy EXC-2111 (Project No. 390814868). Financial support by the European Research Council (ERC) through Advanced Grants No. 291079 (TOPFIT) and No. 788031 (ExQuiSid) is gratefully acknowledged.</p> <p>Paper abstract:</p> <p>The Dzyaloshinskii-Moriya interaction (DMI) has an impact on excited spin waves in the chiral magnet Cu<sub>2</sub>OSeO<sub>3</sub> by means of introducing asymmetry in their dispersion relations. The confined eigenmodes of a chiral magnet are hence no longer the conventional standing spin waves. Here we report a combined experimental and micromagnetic modeling study by broadband microwave spectroscopy, and we observe confined spin waves up to eleventh order in bulk Cu<sub>2</sub>OSeO<sub>3</sub> in the field-polarized state. In micromagnetic simulations we find similarly rich spectra. They indicate the simultaneous excitation of both dipole- and exchange-dominated spin waves with wavelengths down to (47.2 ± 0.05) nm attributed to the exchange interaction modulation. Our results suggest the DMI to be effective in creating exchange spin waves in a bulk sample without the challenging nanofabrication and thereby in exploring their scattering with noncollinear spin textures.</p>
Three-dimensional modelling of shock-turbulence interaction. Magnetic field and temperature datasets.
<p>Simulation snapshots for hybrid-kinetic model of a perpendicular shock interacting with pre-existing plasma turbulence. This dataset allows to reproduce the analyses presented in Trotta et al. 2023. The filenames are organised in <level of turbulence>-Variable-time.txt *(e.g., dB00_B_mag-14.txt is the magnetic field magnitude at T\Omega_ci = 14 for the case with turbulence level dB/B = 0.0). These textfiles are stored as one-dimensional array, which need to be reshaped to a 256x256x256 grid (which has a resolution of 0.5 di).</p> <p> </p> <p>For support in reading the simulation data or if further variables/snapshots are needed for scientific purposes, please be in touch.</p>
Role of Dzyaloshinskii-Moriya interaction for magnetism in transition-metal chains at Pt step edges
<p>PDF images (incorporated data in the pdf files)</p>
Engineering of intrinsic chiral torques in magnetic thin films based on the Dzyaloshinskii-Moriya interaction
<p>Open data for <strong>Engineering of intrinsic chiral torques in magnetic thin films based on the Dzyaloshinskii-Moriya interaction</strong></p>
Simulations of the shock turbulence interaction: magnetic fields and particles datasets
<p>Simulation snapshots for hybrid-kinetic model of a perpendicular shock interacting with pre-existing plasma turbulence. This dataset allows to reproduce the analyses presented in Trotta et al. 2024. The filenames are organised in <level of turbulence>-Variable.txt *(e.g., dB_B_00_B_z.txt is the magnetic field z component for the case with turbulence level dB/B = 0.0). </p> <p>For support in reading the simulation data or if further variables/snapshots are needed for scientific purposes, please be in touch.</p>
Dataset for: Dynamics of a pair of magnetic dipoles with nonreciprocal interactions due to a moving conductor
<p>Includes data and code for the corresponding article. The code is written in Python with a corresponding list of packages included in the archive. The README.txt file includes more detail on the different folders and files.</p>
Neutron diffraction data for Magnetic ground state of NdB4: Interplay between anisotropic exchange interactions and hidden order on a Shastry-Sutherland lattice
<p>NdB4_NPD.zip contains TOF neutron powder diffraction patterns collected in the temperature range of 1.5K-100K</p> <p>journal_NdB4.pdf provides information about the NPD data collection temperature and run number</p>
Dataset for "Identifying The Growth Phase of Magnetic Reconnection using Pressure-Strain Interaction"
<p>Simulation dataset for the "Identifying The Growth Phase of Magnetic Reconnection using Pressure-Strain Interaction"</p>
Raw data for "Kitaev Interactions Through Extended~Superexchange Pathways in the jeff = 1/2 Ru3+ Honeycomb Magnet RuP3SiO11"
<p>Magnetization, specific heat, powder X-ray diffraction, and linear spin wave theory grid data for the manuscript "Kitaev Interactions Through Extended~Superexchange Pathways in the jeff = 1/2 Ru3+ Honeycomb Magnet RuP3SiO11".</p>
Evaluation of a Music and Interaction Intervention on Patient Distress During Whole Body Magnetic Resonance
ClinicalTrials.gov study NCT06332001. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Trajectory and input files for "Coating of magnetic nanoparticles affects their interactions with model cell membranes"
<p>Input and output files, including trajectories, for the study published in BBA - General Subjects :</p> <p>"Coating of magnetic nanoparticles affects their interactions with model cell membranes"</p> <p>https://doi.org/10.1016/j.bbagen.2020.129671</p>
Data set and 3d model from Emendi M, Sturla F, Ghosh RP, Bianchi M, Piatti F, Pluchinotta FR, Giese D, Lombardi M, Redaelli A, Bluestein D. Patient-Specific Bicuspid Aortic Valve Biomechanics: A Magnetic Resonance Imaging Integrated Fluid-Structure Interaction Approach. Ann Biomed Eng. 2020 Aug 17. doi: 10.1007/s10439-020-02571-4. Epub ahead of print. PMID: 32804291.
<p>Data set and 3d model from Emendi M, Sturla F, Ghosh RP, Bianchi M, Piatti F, Pluchinotta FR, Giese D, Lombardi M, Redaelli A, Bluestein D. Patient-Specific Bicuspid Aortic Valve Biomechanics: A Magnetic Resonance Imaging Integrated Fluid-Structure Interaction Approach. Ann Biomed Eng. 2020 Aug 17. doi: 10.1007/s10439-020-02571-4. Epub ahead of print. PMID: 32804291.</p> <p> </p> <p>This is the abstract:</p> <p>Congenital bicuspid aortic valve (BAV) consists of two fused cusps and represents a major risk factor for calcific valvular stenosis. Herein, a fully coupled fluid-structure interaction (FSI) BAV model was developed from patient-specific magnetic resonance imaging (MRI) and compared against in vivo 4-dimensional flow MRI (4D Flow). FSI simulation compared well with 4D Flow, confirming direction and magnitude of the flow jet impinging onto the aortic wall as well as location and extension of secondary flows and vortices developing at systole: the systolic flow jet originating from an elliptical 1.6 cm<sup>2</sup> orifice reached a peak velocity of 252.2 cm/s, 0.6% lower than 4D Flow, progressively impinging on the ascending aorta convexity. The FSI model predicted a peak flow rate of 22.4 L/min, 6.7% higher than 4D Flow, and provided BAV leaflets mechanical and flow-induced shear stresses, not directly attainable from MRI. At systole, the ventricular side of the non-fused leaflet revealed the highest wall shear stress (WSS) average magnitude, up to 14.6 Pa along the free margin, with WSS progressively decreasing towards the belly. During diastole, the aortic side of the fused leaflet exhibited the highest diastolic maximum principal stress, up to 322 kPa within the attachment region. Systematic comparison with ground-truth non-invasive MRI can improve the computational model ability to reproduce native BAV hemodynamics and biomechanical response more realistically, and shed light on their role in BAV patients' risk for developing complications; this approach may further contribute to the validation of advanced FSI simulations designed to assess BAV biomechanics.</p> <p> </p>
WP1: Modeling interacting magnetic loops in the solar corona
<p>Set of <strong>3D time-dependent MHD simulations</strong><strong> of interacting magnetic structures</strong> in the solar corona using the PLUTO code (Mignone et al. 2007; Mignone et al. 2012). Simulations were performed with different diffusion thresholds to investigate more and more impulsive evolution and higher and higher heating rates. Results will appear in Petralia et al. 2021, in preparation.</p>
WP2: Modeling Star-Planet Magnetic Interactions
<p><strong>3D MHD simulations</strong> <strong>for</strong><strong> a representative case of Star-Planet Interaction (SPI)</strong>, with constraints derived from available observations of the system HD 189733 with XMM-Newton and HST/COS (Pillitteri, et al., 2015, ApJ 805, 52). Simulations were performed with already awarded computation time at Marconi-KNL (CINECA) for a first set of SPI cases.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.