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691 results for “magnetic field”
Magnetic structure and field-dependent magnetic phase diagram of Ni2In-type PrCuSi
<p>Data sets for original figures in the article 'Magnetic structure and field-dependent magnetic phase diagram of Ni<sub>2</sub>In-type PrCuSi' published in <a href="https://iopscience.iop.org/article/10.1088/1361-648X/aae28d/meta">J. Phys.:Condens. Matter 30 (43) 2018</a>. The file name of each xls file corresponds to the figure number in the published article. The files can be opened using the Excel program. If there are sub-figures, or multiple frames in each figure, the data of each sub-figure is stored in separate sheets within one xls file. The files with the file extension 'vesta' can be opened using the freely available program <a href="https://jp-minerals.org/vesta/en/">VESTA</a>.</p>
Suppression of Bend Instability in Microtubule-fd Virus Composite Active Nematics by External Magnetic Field
<p>The shear flow-aligned active nematic within a cuboidal channel is subjected to an external magnetic field (1.8T) in the aligned nematic direction. In the absence of the magnetic field, bend deformations proliferate, generating flows perpendicular to the initial alignment, as seen in the control case where no external field is applied (PIV vectors overlaid on the image for visual representation). Under the influence of the magnetic field, the bend instabilities are quelled, as there are no flows perpendicular to the applied field. Tracer beads are utilized for brightfield imaging in the magnetic field apparatus to distinguish between the conditions, while fluorescently labeled microtubules are observed in the control scenario.</p>
Suppression of Bend deformation in Active Nematics by Magnetic Field
<p>In the presence of an external magnetic field (1.8T) applied horizontally along the shear-aligned direction of the active nematic within a cuboidal channel, flows perpendicular to the field are hindered (time<6 min). This suppression arises because the active stress that distorts the nematic alignment encounters resistance from nematic elasticity and the externally applied magnetic field. When the magnetic field is switched off (time>6 min) (indicated by spikes in PIV vector magnitude due to sample holder movement), the nematic undergoes a bend deformation, initiating flows perpendicular to the field direction. This observation suggests that the magnetic field's influence lies in aligning the liquid crystal rather than disrupting the active stress through interference with motor proteins.</p>
Solar wind plasma, magnetic field parameters and geomagnetic storm index SYM-H from 2000 to 2020
Open the record for dataset details and reuse information.
Individual skyrmion manipulation by local magnetic field gradients - Dataset
<p>Dataset for the article: Casiraghi A, Corte-León H, Vafaee M, Garcia-Sanchez F, Durin G, Pasquale M, Jakob G, Kläui M and Kazakova O 2019 Individual skyrmion manipulation by local magnetic field gradients 25–7. DOI: 10.1038/s42005-019-0242-5.</p> <p>The data is divided in figures and for each figure we report the raw data and the python code to analyse it.</p>
Data files of 'Large spatial extension of the zero-energy Yu-Shiba-Rusinov state in magnetic field'
<p>Data files of 'Large spatial extension of the zero-energy Yu-Shiba-Rusinov state in magnetic field'</p>
Dataset: 2D particle-in-cell (PIC) simulation of the magnetic reconnection for the paper "Electron mixing and isotropization in the exhaust of asymmetric magnetic reconnection with a guide field"
<p>This repository contains pubilicly available numerical data of a 2D magnetic reconnection event, which includes the field data and plasma moment data. The simulation is performed with the VPIC code. The simulated data are used for the paper "Electron mixing and isotropization in the exhaust of asymmetric magnetic reconnection with a guide field". </p>
Deformation of flexible ferromagnetic filaments under a rotating magnetic field
<p>This repository contains experimental data and images related to the publication: A. Zaben, G. Kitenbergs, A. Cēbers (2020) Deformation of flexible ferromagnetic filaments under a rotating magnetic field. Journal of Magnetism and Magnetic Materials, 499, 166233 <a href="https://doi.org/10.1016/j.jmmm.2019.166233%20/">https://doi.org/10.1016/j.jmmm.2019.166233 </a> / <a href="https://arxiv.org/abs/1908.02604">https://arxiv.org/abs/1908.02604</a>. </p> <p> </p> <p>Excel files are results named corresponding to figure number in the publication. </p> <p> </p> <p>Root file '1' is for experimental images used for Fig.3, 4 and 5; where either the length is constant having file names as the value of the field strength or named with length values with fixed field strength for different frequencies. The images are named as the frequency value followed by the acquisition index. </p> <p>Data '2' is for images of relaxation experiments presented in Fig.6, for three different lengths and named as Experiment number (time index), having a frame rate of 150. </p>
Spherical harmonic model of the Moon's magnetic field derived from gridded data in Tsunakawa et al. (2015)
<p><strong>T2015_449</strong> is a 449 degree and order spherical harmonic model of the magnetic potential of the Moon. This model was used in Wieczorek (2018) and is a spherical harmonic expansion of the global magnetic field model of Tsunakawa et al. (2015). The original gridded data are from the file "globalSVM20150511/LunarSVM_000_02_v01.dat" and the spherical harmonic coefficients use the standard Schmidt semi-normalization, excluding the Condon-Shortley phase factor of (-1)<sup>m</sup>. The coefficients are in units of Teslas.</p>
WDMAM 2.0: degree 800 spherical harmonic model of the Earth's lithospheric magnetic field
<p>WDMAM 2.0 is a degree 800 spherical harmonic model of the Earth's lithospheric magnetic field. The reference radius of the model is 6371.2 km, and the file is formatted as rows of</p> <p>degree, order, glm, hlm</p> <p>This model is exactly the same as found on the WDMAM web site (http://www.wdmam.org/model/WDMAM_mod.out.gz) with the exceptions that the file has been reformatted to make it easier to read by computer software, and the final unnecessary column has been removed.</p>
Evolution of field-induced metastable phases in the Shastry-Sutherland lattice magnet TmB4
<p>Open data for "Evolution of field-induced metastable phases in the Shastry-Sutherland lattice magnet TmB4 ", Phys. Rev. B, 120, 060407, 2020 (R)</p>
POES N15 spacecraft L* values 1998-2014 determined by the TS05 external magnetic field model
<p>L* values for the POES N15 spacecraft from 1998-2014 determined by the TS05 external magnetic field model. L* calculations were performed by the SpacePy package in Python (<a href="https://spacepy.github.io/">https://spacepy.github.io/</a>).</p> <p>Each year has been broken up into multiple files in chronological number order (beginning at 1) . The number of files for each year are as follows:</p> <p>1998 - 5</p> <p>1999 - 10</p> <p>2000-2014 - 15</p> <p>Each file is a gzipped csv file named via the following: poes_n15_YEAR_FILENUM.csv.gz.</p> <p> </p> <p>References:</p> <p>Tsyganenko, N. A., and Sitnov, M. I. (2005), Modeling the dynamics of the inner magnetosphere during strong geomagnetic storms, <em>J. Geophys. Res.</em>, 110, A03208, doi:<a href="https://doi.org/10.1029/2004JA010798">10.1029/2004JA010798</a>.</p>
Neutrino emission by plasmon decay in a strong magnetic field: Data material
<p>This data reference paper summarizes the fundamental calculated results obtained analytically for the case of a neutron star (NS) crust: it’s cooling rate, time-scale evolution and neutrino luminosity, based on two different theories- Photo-Neutrino (PN) interaction and conventional weak interaction. Considering the NS environment as a degenerate plasmon composition the calculation tables are given. </p>
Table S1. The influence of extremely low frequency magnetic field (ELF-MF) on different aspects of the organism function
<p><strong>Table S1.</strong> <strong>The influence of extremely low frequency magnetic field (ELF-MF) on different aspects of the organism function</strong> (papers are listed according to year of publication).</p> <p>In order to prepare the table the bibliography research in PubMed was performed using the following keywords in varied combinations:: “electromagnetic field”, “stress”, “corticosterone“, “noradrenaline”, “HPA axis”, “oxidative stress”, “cellular damage”, “BDNF”, “HSP70”, “neurotransmitters”, “cytokines”, “plasticity”, “viability”, “recovery”; “behavior”. We also used Boolean operator “and” to receive the most relevant search results. All articles written in English were manually screened, and the appropriate were identified. The articles published from 2010 to 2020 were taken into consideration. The papers concerning the effects of extremely low frequency magnetic field on a wide spectrum of molecular, neuronal, hormonal and behavioural stress responses were considered and only information related to ELF-MF effects are included in the Table.</p>
Magnetic Field Boundaries in Cassini Plasma Spectrometer Data
<p>This dataset consists of:</p> <ul> <li><em>get_files.sh</em> - a bash script to download ELS data (.DAT and .LBL) files.</li> <li><em>crossing_events_urls.txt</em> - a text file containing URLs for each of the ELS<br> data files. <em>get_files.sh</em> reads this file directly.</li> <li><em>crossing_events.txt</em> - a text file containing the list of crossing events<br> with associated data, obtained by processing Table S1 in [1].</li> <li><em>labels.zip</em> - a zip file containing directory with events for each DAT file,<br> in YAML format.</li> <li><em>plotter.py</em> - a plotting script in Python.</li> <li><em>requirements.txt</em> - a file indicating dependencies for the plotting script.</li> </ul> <p><strong>Data</strong></p> <p>This dataset spans 1259 observations from CAPS ELS, each with a .LBL file and a<br> .DAT file. Together, these take 128 GB of space. To download these files, do:</p> <pre>./get_files.sh</pre> <p>in a Bash shell/terminal. The files are stored in the 'data/' folder (created if<br> not present) in the current directory.</p> <p>ELS data files are obtained from NASA's Planetary Data System at<br> <a href="https://pds-ppi.igpp.ucla.edu/search/view/?f=yes&id=pds://PPI/CO-E_J_S_SW-CAPS-3-CALIBRATED-V1.0/DATA/CALIBRATED">https://pds-ppi.igpp.ucla.edu/search/view/?f=yes&id=pds://PPI/CO-E_J_S_SW-CAPS-3-CALIBRATED-V1.0/DATA/CALIBRATED</a></p> <p>For help in understanding the ELS data files, see the CAPS User Guide at<br> <a href="https://pds-ppi.igpp.ucla.edu/ditdos/download?id=pds://PPI/COCAPS_1SAT/DOCUMENT/CAPS_USER_GUIDE/CAPS_PDS_USER_GUIDE_V1_00.PDF">https://pds-ppi.igpp.ucla.edu/ditdos/download?id=pds://PPI/COCAPS_1SAT/DOCUMENT/CAPS_USER_GUIDE/CAPS_PDS_USER_GUIDE_V1_00.PDF</a>.</p> <p><strong>Labels</strong></p> <p>Unzipping the <em>labels.zip</em> file will create a <em>labels/</em> folder in the current<br> directory, requiring 28MB of space.</p> <p>Within <em>labels/</em>:</p> <ul> <li><em>bs/</em> - includes bow shock crossing events.</li> <li><em>mp/</em> - includes magnetopause crossing events.</li> <li><em>dg/</em> - includes known data-gap events. See [1].</li> <li><em>sc/</em> - includes unreliable data events. See [1].</li> <li><em>valid/</em> - union of all files in <em>bs/</em> and <em>mp/</em>.</li> <li><em>all/</em> - union of all files in <em>bs/</em>, <em>mp/</em>, <em>dg/</em> and <em>sc/</em>.</li> </ul> <p>Within the <em>labels/bs/</em> and <em>labels/mp/</em> folders:</p> <ul> <li><em>in/</em> - crossing events with the transition direction as inward.</li> <li><em>out/</em> - crossing events with the transition direction as outward.</li> <li><em>all/</em> - union of all files in in/ and out/.</li> </ul> <p>Each label file is a YAML file containing a 'change_points' field. The entries<br> under this field each indicate the time of a transition event. The other fields<br> ('bimodality' and 'negative_ions') are not relevant for this dataset.</p> <p><strong>Plotting the Data (and Labels)</strong></p> <p>To help visualize the data and labels, we supply a plotting script<br> <em>plotter.py</em>, in Python (version 2.7). First, install dependencies with:</p> <pre>pip install -r requirements.txt</pre> <p>and then run:</p> <pre>./plotter.py -h</pre> <p>to see the available options. Example usage (after downloading data and<br> unzipping labels):</p> <pre>./plotter.py data/ELS_200418018_V01.DAT -l labels/mp/all/ELS_200418018_V01.yaml --interpolated -f max_filter -fsize 100 --title "An Observation from CAPS ELS" </pre> <p>will open up a new window with a plot of the data.<br> To directly save to a file, use the '-o <em>savefilename</em>' option. For example,</p> <pre>./plotter.py data/ELS_200418018_V01.DAT -l labels/mp/all/ELS_200418018_V01.yaml --interpolated -f max_filter -fsize 100 --title "An Observation from CAPS ELS" -o ELS_200418018_V01.png </pre> <p><strong>References</strong></p> <p>[1] Jackman, C. M., Thomsen, M. F., & Dougherty, M. K. (2019). Survey of<br> Saturn's magnetopause and bow shock positions over the entire Cassini mission:<br> Boundary statistical properties and exploration of associated upstream<br> conditions. Journal of Geophysical Research: Space Physics, 124, 8865– 8883.<br> <a href="https://doi.org/10.1029/2019JA026628">https://doi.org/10.1029/2019JA026628</a></p> <p>The original table of magnetopause and bow shock crossing events can be found at<br> <a href="https://agupubs.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1029%2F2019JA026628&file=jgra55251-sup-0001-Table_SI-S01.txt">https://agupubs.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1029%2F2019JA026628&file=jgra55251-sup-0001-Table_SI-S01.txt</a></p> <p><strong>Grants</strong></p> <ul> <li>NASA Contract through JPL with South West Research Institute. Grant Number: 1243218</li> <li>Science and Technology Facilities Council. Grant Number: ST/L004399/1</li> <li>NASA. Grant Number: 1243218</li> <li>Diamond Jubilee Fellowship</li> <li>STFC. Grant Number: ST/L004399/1</li> </ul>
Efficiency of terahertz undulator radiation from short electron bunches moving in the field of permanently magnetized helices
<p>The motion and radiation of short dense bunches of ultrarelativistic electrons produced by laser-driven accelerators and moving in an undulator in the form of magnetized helices have been studied. Simulations demonstrate the possibility of generating wideband THz pulses with energies of hundreds of microjoules and relatively high efficiency in regimes close to the group synchronism of electrons with the waveguide mode.</p>
High frequency somatosensory evoked magnetic fields recorded with MEG (OLD)
<p>** Old version - do not use **</p> <p>This dataset contains somatosensory evoked responses recorded with Elekta TRIUX magnetoencephalography (MEG) system. The purpose of the measurements was specifically to examine high-frequency (HF) somatosensory responses, which have very small amplitude. To this end, a large number of responses (thousands) were recorded with a short interstimulus interval (randomized between 300-350 ms). A constant-current electric stimulator was used, with the electrodes placed around the median nerve at the right wrist. The magnitude of the current was individually determined so that the stimulation was slightly below motor threshold; it was approximately 7 mA. The length of the current pulse was set at 200 microseconds.</p> <p>Both datasets contain raw FIFF files and MRIs in DICOM format. There are two recordings for subject 'A' and one for subject 'B'. The length of each recording is approximately 15 minutes. The data of subject 'A' has more prominent high-frequency responses and smaller stimulator artifact. Both subjects also have a 2-minute empty room recording, acquired just before the actual measurement.</p> <p>MEG recording parameters: sampling frequency 3000 Hz, analog lowpass 1000 Hz. Single-shot HPI was done at the beginning of the measurement, but continuous HPI was not used. No active shielding systems were in use. The data were recorded at the BioMag laboratory of Helsinki University Central Hospital. The two subjects were healthy male volunteers, age 38-40 years.</p> <p> </p> <p> </p>
Data for 'Strengthening of the f mode due to subsurface magnetic fields in simulations of convection'
<p>Simulation output and postprocessing scripts for 'Strengthening of the f mode due to subsurface magnetic fields in simulations of convection' (<a href="https://arxiv.org/abs/2409.14840">https://arxiv.org/abs/2409.14840</a>). </p>
Data for A miniaturized magnetic field sensor based on nitrogen-vacancy centers
<p>Here, data sets as plotted in the preprint "A miniaturized magnetic field sensor based on nitrogen-vacancy centers" are uploaded. <br><br>The zip file Data_Zenodo_v3.zip contains a folder for each figure and one additional table supporting the findings in the preprint/publication. Folders of figures containing only images include the images in the preprint/publication as .png and .svg or .pdf data. Folders of figures containing plots include the plot as .png and .pdf aswell as the data points and fit parameters collected in a .xlsx, .csv or .h5 file.</p>
Wavelength-division multiplexing optical Ising simulator enabling fully programmable spin couplings and external magnetic fields
<p>Recently various physical systems have been proposed for modeling Ising spin Hamiltonians appealing to solve combinatorial optimization problems with remarkable performance. However, how to implement arbitrary spin-spin interactions is a critical and challenging problem in various kinds of unconventional Ising machines. Here we propose a general gauge transformation scheme to enable arbitrary spin-spin interactions and external magnetic fields as well, by decomposing an Ising Hamiltonian into multiple Mattis-type interactions. Based on this scheme, a wavelength-division multiplexing spatial photonic Ising machine (SPIM) is developed to show the programmable capability of general spin coupling interactions. We exploit the wavelength-division multiplexing SPIM to simulate three spin systems: pm J models, Sherrington-Kirkpatrick models, and only locally connected J1/J2 models and observe the phase transitions among the spin-glass, the ferromagnetic, the paramagnetic and the stripe-antiferromagnetic phases. We also demonstrate the ground state search for solving the Max-Cut problem with the wavelength-division multiplexing SPIM. These results promise the realization of ultrafast-speed and high-power-efficiency Boltzmann sampling of a generalized large-scale Ising model.</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.