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Dataset results
15 results for “micromagnetism”
Data for the article "Computational micromagnetics based on normal modes: Bridging the gap between macrospin and full spatial discretization"
<p>Data for the article "Computational micromagnetics based on normal modes: Bridging the gap between macrospin and full spatial discretization".</p> <p>Link to publisher: https://www.sciencedirect.com/science/article/abs/pii/S0304885321009197</p> <p>Link to Arxiv preprint: https://arxiv.org/abs/2105.08829</p>
Replication data for: 'A First-Order Statistical Exploration of the Mathematical Limits of Micromagnetic Tomography'
<p>This repository contains the random data generated for obtaining results described in "A first-order statistical exploration of the mathematical limits of Micromagnetic Tomography". All tested parameters are systematically divided over different folders and subfolders. This dataset contains only .npy files, generated with python version 3.8.8 and numpy version 1.21.5.</p> <p>Each file can be opened with numpy.load(filename)</p> <p>The resulting figures are constructed with data of at least 15 iterations; each iteration is stored in a separate folder 'test_' followed by the iteration number.</p> <p>The README file inside provides a detailled overview of the files included.</p>
Dataset of article entitled: "Tuning magnonic devices with on-chip permanent micromagnets"
<p>These are the dataset relative to paper entitled "Tuning magnonic devices with on-chip permanent micromagnets" published in <em>Physical Review Applied</em> </p>
Data set of article entitled: "Impact of the interfacial Dzyaloshinskii-Moriya interaction on the band structure of one-dimensional artificial magnonic crystals: A micromagnetic study"
<p>Data set of the immagies showed in figure 3 of the article entiteled "Impact of the interfacial Dzyaloshinskii-Moriya interaction on the band structure of one-dimensional artificial magnonic crystals: A micromagnetic study". All files contain the matrix of the dispersion relations of the two analysed Magnonic Crystals: the SAMPLE A and the SAMPLE B for different value of the interfacial Dzyaloshinskii-Moriya interaction (constant D). The first row is the set of values of k-vector, while the first column is the set of value of the frequencies. The other elements of the matrix are the values of the pixel related to the first row and first column. These elements are been obtanied by the Fast Fourier Transform in time and space of the micromagnetic simulations .</p>
Data set for: Mapping magnetic signals of individual magnetite grains to their internal magnetic configurations using micromagnetic models
<p>This data set contains the simulations and data analysis files used in the publication: "<em>Mapping magnetic signals of individual magnetite grains to their internal magnetic configurations using micromagnetic models</em>", by D. Cortés-Ortuño, K. Fabian and L. V. de Groot.</p> <p>The data set includes:</p> <ul> <li>Scripts and output files from MERRILL simulations</li> <li>Jupyter notebooks with data analysis</li> <li>Figures</li> </ul> <p>A preprint of this work can be found in:</p> <p>David Cortés-Ortuño, Karl Fabian and Lennart V. de Groot. <em>Mapping magnetic signals of individual magnetite grains to their internal magnetic configurations using micromagnetic models.</em> DOI: 10.1002/essoar.10510574.1. Earth and Space Science Open Archive. <a href="https://doi.org/10.1002/essoar.10510574.1">https://doi.org/10.1002/essoar.10510574.1</a></p> <p>The README file in this dataset (in markdown format) contains full details about the simulations. The dataset also contains pre-computed data files to calculate the inversions and produce the figures and analyze the inversion data without processing the vbox files.</p> <p>To cite this dataset you can use the following bibtex entry:</p> <pre><code>@Misc{Cortes2022, author = {Cortés-Ortuño, David and Fabian, Karl and de Groot, Lennart V.}, title = {{Data set for: Mapping magnetic signals of individual magnetite grains to their internal magnetic configurations using micromagnetic models}}, publisher = {Zenodo}, year = {2022}, doi = {10.5281/zenodo.6501818}, url = {https://doi.org/10.5281/zenodo.6501818}, } </code></pre> <p> </p>
Micromagnetic Hysteresis Results for Magnetite
<p>The repository contains the data and example scripts to reproduce a systematic micromagnetic analysis of magnetic hysteresis in magnetite nad serves as the supplementary material for the paper "Magnetic Hysteresis Properties of Magnetite: Trends with Particle Size and Shape"</p> <p><strong>Files:</strong></p> <p><em>truncated_octahedron_prolate_by_AR.cubit</em> - Coreform Cubit script to create the prolate finite element meshed geometries<br><em>truncated_octahedron_oblate_by_AR.cubit</em> - Coreform Cubit script to create the oblate finite element meshed geometries</p> <p><em>Example_MERRILL_Script.txt</em> - Example MERRILL script to simulate the major hysteresis loops</p> <p><em>Hysteresis_Data.db</em> - SQLite binary file containing room temperature magnetic hysteresis loops and associated data.</p> <p><em>Paleointensity_Transient_Data.csv</em> - The transient hysteresis (Thys), Arai plot curvature, and palaeointensity data used in Figure 11.</p> <p> </p> <p><em>M1_AR2p50_Size125_i08.mp4:</em></p> <p>Domain state evolution through a major hysteresis loop from positive saturation to the zero-field state and the transient branch sweep back to saturations. This is for a 125 nm pastilce with an aspect ratio of 2.5. The video illustrates near reversible single vortex nucleation and denucleation that yields negligible transient hysteresis behvaior.</p> <p><em>M2_AR1p50_Size125_i22.mp4 </em></p> <p>Domain state evolution through a major hysteresis loop from positive saturation to the zero-field state and the transient branch sweep back to saturations. This is for a 125 nm pastilce with an aspect ratio of 1.5. The video illustrates irreversible single vortex nucleation and denucleation that result from irreversivle vortex core rotation. This yields notable transient hysteresis behvaior.</p> <p>M3_AR1p50_Size125_i08.mp4</p> <p>Domain state evolution through a major hysteresis loop from positive saturation to the zero-field state and the transient branch sweep back to saturations. This is for a 125 nm pastilce with an aspect ratio of 1.5. The video illustrates near reversible single vortex rotation that yields negligible transient hysteresis behvaior.</p> <p><em>M4_AR0p500000_Size125_i17.mp4 </em></p> <p>Domain state evolution through a major hysteresis loop from positive saturation to the zero-field state and the transient branch sweep back to saturations. This is for a 125 nm pastilce with an aspect ratio of 0.5. The video illustrates irreversible single vortex nucleation and denucleation that result from irreversivle vortex core translation. This yields notable transient hysteresis behvaior.</p> <p><em>M5_AR0p500000_Size125_i15.mp4 </em></p> <p>Domain state evolution through a major hysteresis loop from positive saturation to the zero-field state and the transient branch sweep back to saturations. This is for a 125 nm pastilce with an aspect ratio of 0.5. The video illustrates near reversible single vortex translation that yields negligible transient hysteresis behvaior.</p> <p> </p> <p><br><strong>Hysteresis_Data.db structure:</strong></p> <p>Hysteresis_Data.db contains 6 tables</p> <p>DCD_Loops - the DC backfield demagnetization data<br>Hyst_Loops - the upper branch major hysteresis data<br>Hyst_Stats - the summary hysteresis descriptive statistics<br>Loop_Units - the unist for the column of the "DCD_Loops", "Hyst_Loops ", and "Transient_Loops" tables<br>Stat_Units - the units for the column of the "Hyst_Stats" table<br>Transient_Loops - the transient loop data</p>
Dataset for: "Micromagnetic Tomography: Numerical Libraries"
<p>This dataset contains the codes and Jupyter notebooks to reproduce the results of the publication <em>Micromagnetic Tomography: Numerical Libraries. </em></p> <p>This data is hosted in the Github repository: <a href="https://github.com/Micromagnetic-Tomography/paper-2023-mmt-numerical-libraries">https://github.com/Micromagnetic-Tomography/paper-2023-mmt-numerical-libraries</a></p> <p> </p>
Micromagnetic calculation of the magnetite magnetosome in magnetotactic bacteria
<p>This dataset contains the micromagnetic model meshes, MATLAB codes, and calculation results of typical magnetite magnetosome in magnetotactic bacteria.</p>
The magnetic recording stability of vortex state irregularly shaped natural iron oxides: raw data, processing and micromagnetic modelling results
<p>Magnetic minerals, especially those existing within the vortex domain state, serve as the primary natural archives of ancient magnetic fields. In this investigation, we introduce an innovative method to examine the magnetic stability of remanence-bearing minerals. This method involves integrating <strong>Synchrotron-based Ptychographic X-ray Computed Nano-tomography (PXCT)</strong> <strong>with micromagnetic modelling</strong>. PXCT, a tomographic technique, is a non-destructive resource, which enables its application to valuable (unique) samples. When applied to a microscopic sample of weakly magnetic carbonate rock, PXCT revealed numerous nanoscopic grains of magnetite/maghemite, each exhibiting diverse morphologies, alongside various non-magnetic minerals present in the rock matrix. Subsequently, micromagnetic models were employed to predict the properties of these grains and investigate the potential impacts of irregular morphologies.</p>
Dataset of micromagnetic simulations on magnetic unstable zone (#2022JB024876)
<p>The files attached below are all the raw data that support the figures in paper #2022JB024876.</p>
Data set for: Proposal for a micromagnetic standard problem for materials with Dzyaloshinskii-Moriya interaction
<p>Scripts and Jupyter notebooks for the data reproduction of the paper: "Proposal for a micromagnetic standard problem for materials with Dzyaloshinskii-Moriya interaction"</p> <p>Files include notebooks and scripts with simulations using the OOMMF, MuMax3 and Fidimag codes. Data analysis is performed using Python tools such as Numpy and Scipy.</p> <p>The latest version of this data set can be found in the Github repository:</p> <p><a href="https://github.com/fangohr/paper-supplement-standard-problem-dmi">https://github.com/fangohr/paper-supplement-standard-problem-dmi</a></p>
Electron tomography, micromagnetic simulation, and crystal plane analysis of giant magnetofossils
<p><span lang="EN-US">In this dataset, we show the electron tomography reconstruction and micromagnetic simulation results of giant magnetofossils. </span></p> <p><span lang="EN-US">The details are as follows:</span></p> <p><span lang="EN-US">“Hyst_Loop”: Hysteresis loop files (.hyst) and output files (.out) obtained from the micromagnetic simulation.</span></p> <p><span lang="EN-US">“Recon_movie”: Movie files (.mp4) for electron tomography reconstruction results.</span></p> <p><span lang="EN-US">“Recon_STL”: Mesh files (.stl) for electron tomography reconstruction results.</span></p> <p><span lang="EN-US">“Particle_Info.xlsx”: Triaxial dimension data of giant magnetofossil particles based on reconstruction results.</span></p> <p><span lang="EN-US">“Magnetite_paras_published_data.xlsx”: Summary of hysteresis data for magnetite from previous studies</span></p> <p><span lang="EN-US">“Magnetite_paras_this_study.xlsx”: Summary of hysteresis data for</span> <span lang="EN-US">giant magnetofossils calculated using micromagnetic simulations.</span></p> <p><span lang="EN-US">“Small_kinked_bullet_MTB _data.xlsx”: Published dimension data of kinked bullet-shaped magnetite synthesized by magnetotactic bacteria.</span></p> <p><span lang="EN-US">“GM_STL_cluster_code.ipynb”: Crystal plane analysis code for tomography-reconstructed STL files.</span></p>
Micromagnetics of magnetic chemical modulations in soft-magnetic cylindrical nanowires
<p>Abstract:</p> <p>We analyze the micromagnetics of short longitudinal modulations of a high magnetization material in cylindrical nanowires made of a soft-magnetic material of lower magnetization such as Permalloy, combining magnetic microscopy, analytical modeling and micromagnetic simulations. The mismatch of magnetization induces curling of magnetization around the axis in the modulations, in an attempt to screen the interfacial magnetic charges. The curling angle increases with modulation length, until a plateau is reached with nearly full charge screening for a specific length scale, larger than the dipolar exchange length of any of the two materials. The curling circulation can be switched by the Œrsted field arising from a charge current with typical magnitude 10<sup>12</sup>A/m<sup>2</sup>.</p>
The Origin of Magnetofossil Coercivity Components: Constraints from Coupled Experimental Observations and Micromagnetic Calculations
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Micromagnet fabrication - die cut technique - H2020 UWIPOM2 PROJECT
<p>Micromagnet fabrication, die-cut technique</p> <p>https://www.youtube.com/watch?v=hD5jjuUfOrE&ab_channel=Prof.Efr%C3%A9nD%C3%ADezJim%C3%A9nez-UniversidaddeAlcal%C3%A1</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.