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.
24
datasets available to search
ShareScore release 0.9.0
Dataset results
24 results for “spin ice”
Magnon Modes of Microstates and Microwave-Induced Avalanche in Kagome Artificial Spin Ice with Topological Defects
<p>The attached folder contains the dataset for the manuscript entitled "Magnon Modes of Microstates and Microwave-Induced Avalanche in Kagome Artificial Spin Ice with Topological Defects".</p>
Real-space imaging of phase transitions in bridged artificial kagome spin ice
<p>Open data to "Real-space imaging of phase transitions in bridged artificial kagome spin ice", published in Nature Physics (2022), https://www.nature.com/articles/s41567-022-01564-5</p>
Monte Carlo simulations of octahedral spin ice
<p>Representative datasets for the paper <a href="https://arxiv.org/abs/2203.08834">Fragmented spin ice and multi-k ordering in rare-earth antiperovskites</a>.</p> <p>The contents of each file is as follows:</p> <ul> <li><code>loop.zip</code>: Loop-update simulations of dipolar spin ice</li> <li><code>singlespin.zip</code>: Single-spin-flip simulations of dipolar spin ice</li> <li><code>transition.zip</code>: High-resolution simulations of dipolar spin ice near ordering transitions</li> <li><code>exchange.zip</code>: Loop-update simulations of near-neighbour spin ice</li> <li><code>otsuka.zip</code>: Loop-string simulation of idealised octahedral ice</li> <li><code>autocorr.zip</code>: Raw Monte Carlo samples for estimating autocorrelation times</li> <li><code>mcif.zip</code>: mcif files representing the four ordered phases</li> </ul> <p>Each zip archive contains a <code>README</code> file explaining its contents and the file formats used.</p>
Ocean and ice spin-up data for role of surface gravity waves in aquaplanet ocean climates
Open the record for dataset details and reuse information.
Fractional magnetic charges and channeling of Faraday lines by disclinations in artificial spin ice
Open the record for dataset details and reuse information.
Control of emergent magnetic monopole currents in artificial spin ice
<p>Open data for "Control of emergent magnetic monopole currents in artificial spin ice ", Phys. Rev. B, 102, 144413, 2020</p>
XMCD data and XAS spectra, and simulation data for Clocked Dynamics in Artificial Spin Ice
<p><strong>Experimental data</strong></p><p>Raw data of XMCD images collected at ALBA Synchrotron between 8th to 12th of September 2022. The data are used to create the experimental magnetization curves and magnetic contrast images in the paper <i>Clocked dynamics in artificial spin ice. </i>Additionally, XAS spectra of the Fe L3 edge obtained prior to imaging are included.</p><p>Folder numbers starting at 225 through to 320 contain the data for the unipolar clocking experiment. The folder "001_XAS_Fe" contains the XAS spectrum of the sample taken prior to this series. <br>Folder numbers starting at 166 through to 217 contain the data for the bipolar clocking experiment. The folder "013_XAS_Fe_L3_CN" contains the XAS spectrum of the sample prior to this series.</p><p><strong>Simulation data</strong></p><p>The resulting data from flatspin simulations that are plotted as magnetization curves in the paper <i>Clocked dynamics in artificial spin ice. </i></p><p>The folder "flatspin-unipolar" contains the data for the unipolar clocking experiment.<br>The folder "flatspin-bipolar" contains the data for the bipolar clocking experiment.</p>
Collective ferromagnetism of artificial square spin ice
<p>We have studied the temperature and magnetic field dependence of the total magnetic moment of large-area permalloy artificial square spin ice arrays. The temperature dependence and hysteresis behavior are consistent with the coherent magnetization reversal expected in the Stoner-Wohlfarth model, with clear deviations due to inter-island interactions at small lattice spacing. Through micromagnetic simulations, we explore this behavior and demonstrate that the deviations result from increasingly complex magnetization reversal at small lattice spacing, induced by inter-island interactions, and depending critically on details of the island shapes. These results establish new means to tune the physical properties of artificial spin ice structures and other interacting nanomagnet systems, such as patterned magnetic media.</p>
Real-space correlation functions of nearest-neighbour spin ice
<p>Real-space correlation functions <span class="math-tex">\(\langle \sigma_i\sigma_j\rangle\)</span> of the nearest-neighbour spin ice Hamiltonian <span class="math-tex">\(H = J \sum_{\langle ij\rangle} \sigma_i\sigma_j\)</span> on the pyrochlore lattice, from Monte Carlo simulations on 128×128×128 cubic unit cells.</p> <p><strong>File formats</strong></p> <p>The file name indicates the temperature (in units of J) where the measurement was taken.</p> <p>Files with extension .dat contain the correlation functions as double-precision real floats.<br> Files with extension .err contain the standard errors as single-precision real floats.</p> <p>Both file types contain an array of shape (4, 4, 4, 128, 128, 128). The meaning of the indices (from major to minor):</p> <ul> <li>sublattice index μ</li> <li>sublattice index ν</li> <li>index λ of FCC lattice point in the cubic unit cell</li> <li>offset of cubic lattice cells</li> </ul> <p>Entry [μ, ν, λ, x, y, z] corresponds to the correlator <span class="math-tex">\(\langle \sigma(\vec R + \vec r^\mathrm{FCC}_\lambda + \vec r_\mu)\sigma(\vec r_\nu)\rangle\)</span>, where <span class="math-tex">\(\vec R = [xyz] \)</span>, the FCC index λ corresponds to the lattice points <span class="math-tex">\(\vec r^\mathrm{FCC}_0 = [000], \vec r^\mathrm{FCC}_1=[011]/2, \vec r^\mathrm{FCC}_2=[101]/2,\vec r^\mathrm{FCC}_3 = [110]/2\)</span>, and the sublattice indices correspond to the site offsets <span class="math-tex">\(r_0 = [111]/8, r_1=[1\bar1\bar1]/8, r_2=[\bar11\bar1]/8,r_3=[\bar1\bar1 1]/8\)</span> from the nearest FCC lattice point. Coordinates x,y,z run between 0 and 127 in periodic boundary conditions.</p> <p>The utility loader.py loads the files, shapes them in the correct array format, and extracts individual correlators.</p> <p><strong>Details of data generation</strong></p> <p>We performed Monte Carlo simulations of nearest-neighbour spin ice using the efficient loop-string algorithm introduced in <a href="https://doi.org/10.1103/PhysRevB.90.220406">Phys. Rev. B 90, 220406(R)</a>. For nonzero temperatures, correlations between different strings were excluded, which effectively averages all spin configurations compatible with a given loop graph. We ran 32 independent Markov chains at each temperature point and obtained 4096 Monte Carlo samples in each. The reported standard errors are the error on the mean of the 32 Markov chains.</p>
Reciprocal-space correlation functions of nearest-neighbour spin ice
<p>Reciprocal-space correlation functions <span class="math-tex">\(\langle \sigma_\mu(k)\sigma_\nu(-k)\rangle\)</span> of the nearest-neighbour spin ice Hamiltonian <span class="math-tex">\(H = J \sum_{\langle ij\rangle} \sigma_i\sigma_j\)</span> on the pyrochlore lattice, from Monte Carlo simulations on 128×128×128 cubic unit cells.</p> <p><strong>File formats</strong></p> <p>The file name indicates the temperature (in units of J) where the measurement was taken.</p> <p>Files with extension .dat contain the correlation functions as double-precision complex floats.<br> Files with extension .err contain the standard errors as single-precision real floats.</p> <p>Both file types contain an array of shape (4, 4, 128, 256, 256). The meaning of the indices (from major to minor):</p> <ul> <li>sublattice index μ</li> <li>sublattice index ν</li> <li>wave vector components in units of <span class="math-tex">\(2\pi/(128a_0)\)</span></li> </ul> <p>The sublattice indices correspond to the site offsets <span class="math-tex">\(r_0 = [111]/8, r_1=[1\bar1\bar1]/8, r_2=[\bar11\bar1]/8,r_3=[\bar1\bar1 1]/8\)</span> from the nearest FCC lattice point. For the Fourier transforms, all sublattices are shifted to these lattice points, so the correlators stored in the files are periodic with respect to the FCC reciprocal lattice.</p> <p>The wave vector range covered is <span class="math-tex">\(0\le k_x< 2\pi/a_0, 0\le k_y,k_z< 4\pi/a_0\)</span>, an (unconventional) reciprocal-space unit cell of the FCC pyrochlore lattice.</p> <p>The utility loader.py loads the files, shapes them in the correct array format, and extracts single k-points.</p> <p><strong>Details of data generation</strong></p> <p>We performed Monte Carlo simulations of nearest-neighbour spin ice using the efficient loop-string algorithm introduced in <a href="https://doi.org/10.1103/PhysRevB.90.220406">Phys. Rev. B 90, 220406(R)</a>. For nonzero temperatures, correlations between different strings were excluded, which effectively averages all spin configurations compatible with a given loop graph. We ran 32 independent Markov chains at each temperature point and obtained 4096 Monte Carlo samples in each. The reported standard errors are the error on the mean of the 32 Markov chains.</p>
Data presented in the "Deconstructing Magnetization Noise: Degeneracies, Phases, and Mobile Fractionalized Excitations in Tetris Artificial Spin Ice" paper
<p>The files contain data presented in the "Deconstructing Magnetization Noise: Degeneracies, Phases, and Mobile Fractionalized Excitations in Tetris Artificial Spin Ice" paper.</p>
Collective ferromagnetism of artificial square spin ice
Open the record for dataset details and reuse information.
Nanomagnet shape effects on magnetic reversal in artificial spin ice
Open the record for dataset details and reuse information.
Collective magnetic dynamics in artificial spin ice probed by AC susceptibility
<p>A collection of data presented and analysed in a manuscript under the same title and author list, posted on arXiv.</p>
Qubit Spin Ice
<p>Experimental data for Qubit Spin Ice.</p>
Data from: String phase in an artificial spin ice
<p>The appearance of one-dimensional strings of local excitations represents an interesting feature of the physical behavior of strongly correlated topological quantum matter. Here we demonstrate that strings of local excitations can also describe the physics of a <i>classical</i> thermal system of interacting nanomagnets, the Santa Fe Ice geometry of artificial spin ice. We measure the moment configuration of the nanomagnets, both after annealing near the ferromagnetic Curie point and in a thermally dynamic state. While the Santa Fe Ice lattice structure is complex, we demonstrate that its disordered magnetic state is naturally described within a framework of emergent strings. We show experimentally that the string length follows a simple Boltzmann distribution with an energy scale that is associated with the system's magnetic interactions and that is consistent with theoretical predictions. The results demonstrate that string descriptions and associated topological characteristics are not unique to quantum models, but that they also provide a simplifying description of complex classical systems with non-trivial frustration.</p>
Real-space observation of ergodicity transitions in artificial spin ice
<p>Coordinate files of every nanomagnet's position and orientation recorded at each moment in time and several temperatures.</p>
Data from: String phase in an artificial spin ice
Open the record for dataset details and reuse information.
Thermally superactive artificial kagome spin ice structures obtained with the interfacial Dzyaloshinskii-Moriya interaction
<p>Open Data for "Thermally superactive artificial kagome spin ice structures obtained with the interfacial Dzyaloshinskii-Moriya interaction", published in PRB 102, 180405(R) (2020)</p>
A Brillouin light scattering study of the spin-wave magnetic field dependence in a magnetic hybrid system made of an artificial spin-ice structure and a film underlayer
<p>We present a combined Brillouin light scattering (BLS) and micromagnetic simulation investigation of the magnetic-field-dependent<br> spin-wave spectra in a hybrid structure made of permalloy (NiFe) artificial spin-ice (ASI) systems, composed of stadium-shaped nanoislands, deposited on the top of an unpatterned permalloy film with a nonmagnetic spacer layer. The thermal spin-wave spectra were recorded by BLS as a function of the magnetic field applied along the symmetry direction of the ASI sample. Magneto-optic Kerr effect magnetometry was used to measure the hysteresis loops in the same orientation as the BLS measurements. The frequency and the intensity of several spin-wave modes detected by BLS were measured as a function of the applied magnetic field. Micromagnetic simulations enabled us to identify the modes in terms of their frequency and spatial symmetry and to extract information about the existence and strength of the dynamic coupling, relevant only to a few modes of a given hybrid system. Using this approach, we suggest a way to understand if the dynamic coupling between ASI and film modes is present or not, with interesting implications for the development of future three-dimensional magnonic applications and devices.</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.