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18 results for “2D magnetism”
Replication Data for: Probing magnetism in 2D materials at the nanoscale with single spin microscopy
<p>Data repository for: <strong>Probing magnetism in 2D materials at the nanoscale with single spin microscopy</strong></p> <p><em>Data description.pdf </em>describes the uploaded data.<br> <em>Data.xlsx</em> is the data represented in the paper.<br> <em>MzFromBNV.m</em>, <em>kvalues.m</em>, <em>NVZeemanShiftFromMagnetizedSampleEdge.m</em> are Matlab code files used to transform and fit the data.</p> <p> </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>
Data and Software for "Determining the orientation of a magnetic reconnection X line and implications for a 2D coordinate system"
<p>Supporting information for "Determining the orientation of a magnetic reconnection X line and implications for a 2D coordinate system", by Denton et al. Includes a copy of the paper and previous relevant papers, the simulation data used in the paper, and the reconstruction code used in the paper. See the readme files.</p>
Dataset of the publication: Chemical design and magnetic ordering in thin layers of 2D MOFs
<p>Dataset of the publication: Chemical design and magnetic ordering in thin layers of 2D MOFs</p> <p>DOI: 10.1021/jacs.1c07802</p> <p>López-Cabrelles, J; Mañas-Valero, S; Vitórica-Yrezábal, IJ; Siskins, M; Lee, M; Steeneken, PG; van der Zant, HSJ; Espallargas, GM; Coronado, E<br>J. Am. Chem. Soc. 2021, 143, 44, 18502–18510</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>
Dedalus output from 2D incompressible MHD fluid on a magnetized beta plane
<p>This dataset includes all output from simulations of the 2D incompressible MHD fluid on a magnetized beta plane that were used in the paper:</p> <blockquote> <p>Parker, J. B. and Constantinou, N. C. (2019). Magnetic eddy viscosity of mean shear flows in two-dimensional magnetohydrodynamics. Phys. Rev. Fluids, 4, 083701. DOI: 10.1103/PhysRevFluids.4.083701</p> </blockquote> <p>Simulations were performed using the spectral code Dedalus.</p>
Data for: Fractional Topological Charges in 2D Magnets
<p>We provide the data files and, where relevant, simulation files (written in go) for each of the four figures in the main text.</p> <p>To run the .go files, place them in the same directory with the .smp files and execute sbatch "simulation_file_name.smp". Note that "drivenDefect.smp" will only run if the initial magnetisation data file "m_200x1000y_centred_Delta_1.25_NegB0_arrIndB0_2.ovf" is placed in a subdirectory "initialDefectCentred" of the same directory. </p> <p>We use three different ways of presenting the data for magnetisation, topological charge density and the velocity data for Fig. 4c. Magnetisation data follow the format "{{x,y,z},{Mx,My,Mz}}", while topological charge density data follow "..{x,y,\rho_{top}}..". Note that the y index runs over the outer lists, while the x index runs over the inner lists, so to retrieve e.g. the 5th column and 3rd row of a data file, use dataFile[[5,3]], after importing the data file into "dataFile". For the velocity data, we use "{w,vx,vy}.." (note that only the vy data was used in Fig.1c).</p>
Data set for: History-dependent domain and skyrmion formation in 2D van der Waals magnet Fe3GeTe2
<p>This data repository contains the experimental data utilised to produce the figures shown in History-dependent domain and skyrmion formation in 2D van der Waals magnet Fe3GeTe2, by M. T. Birch, L. Powalla, S. Wintz, O. Hovorka, K. Litzius, J. C. Loudon, L. A. Turnbull, V. Nehruji, K. Son, C. Bubeck, T. G. Rauch, M. Weigand, E. Goering, M. Burghard, G. Schütz.</p> <p>Experimental data analysis were performed using Python via Jupyter notebooks, utilising matplotlib, scipy, numpy and h5py libraries. Jupyter notebooks are provided to process some of the experimental data to form the figures shown in the paper.</p> <p><br> Data data is divided into folders:</p> <p>Characterisation_Data - contains EDX, TEM and AFM characterisation of the bulk FGT material and exfoliated flakes.</p> <p>Magnetometry_Data - Includes data files from the MPM3 magnetometry utilised to study the magnetisation of the bulk FGT crystal as a function of temperature and applied magnetic field. The two sub folders divide the files into data acquired with the field applied either parallel to the c axis (OOP - out of plane), or perpendicular to the c axis (IP - in plane).</p> <p>STXM_Data - Contains Scanning Transmission X-ray Microscopy data acquired at the MAXYMUS instrument at the BESSY II synchrotron, Berlin. The data is divided into sections acquired following different sample histories, as reported in the main paper: field sweep, field-cooled and zero-field cooled. Folders containing the extracted skyrmion sizes and stripe domain sizes are included, as well as Python notebooks for plotting Fig. 3, 4 and 5 of the main paper.</p> <p>Spectra_Data - Contains x-ray absorption spectra acquired on a bulk FGT crystal via total electron yield method (Bulk spectra), and spectra acquired on the exfoliated FGT flake by a transmission method (Flake Spectra). The accompanying jupyter notebook demonstrates the plotting and application of XMCD sum rules to the experimental data.</p> <p>LTEM_Data - Contains images acquired via Lorentz Transmission Electron Microscopy of an FGT flake, measured as a function of temperature and applied magnetic field at various tilt angles.</p> <p>Analysis_Scripts - Contains python notebook for plotting the magnetic phase diagrams, and plotting the thickness dependence estimation from the x-ray absorption spectra data.</p> <p>Meanfield_Simulations - Contains the raw output files of the simulations, the .h5 files, and Python notebook plotting scripts. Summary pdf files show the output of all simulation runs for the field sweep performed at each temperature. </p> <p><br> The latest version of this Data Set can be found at the Zenodo DOI:<br> 10.5281/zenodo.6346695</p> <p>Any further requests for materials are welcome, send any inquiries to Max Birch at birch@is.mpg.de</p>
Silicon-29 NMR Experimental Datasets used in Statistical Learning of NMR tensors from 2D Isotropic/Anisotropic Correlation Nuclear Magnetic Resonance Spectra
<p>Processed silicon-29 Magic-Angle Flipping and Magic-Angle Turning Nuclear Magnetic Resonance spectra used as input to the smooth-LASSO linear inversion algorithm along with their corresponding NMR tensor parameter distributions as described in the paper "Statistical Learning of NMR tensors from 2D Isotropic/Anisotropic Correlation Nuclear Magnetic Resonance Spectra", by Srivastava and Grandinetti. </p> <p>Files with names containing "MAF" or "MAT" are the corresponding experimental Si-29 NMR MAF or MAT dataset on the composition given in the filename. Files with names containing "inverse" are the corresponding NMR tensor parameter distributions obtained from the inversion of the corresponding experimental MAF and MAT dataset with the composition given in the filename. </p> <p><br> </p> <p>Details of the csdf dataset format are given in <a href="https://doi.org/10.1371/journal.pone.0225953"><em>PLOS ONE,</em> 15(1): e0225953 (2020)</a>, "Core Scientific Dataset Model: A lightweight and portable model and file format for multi-dimensional scientific data," D. Srivastava, T. Vosegaard, D. Massiot, and P.J. Grandinetti. The data within csdf files can be accessed with the Python package <a href="https://csdmpy.readthedocs.io/en/stable">csdmpy</a>, or other CSDM-compliant software.</p> <p> </p>
A fluorinated 2D magnetic coordination polymer
<p>Relevant data for publication with DOI: <a title="Link to landing page via DOI" href="https://doi.org/10.1039/D1DT03734J">10.1039/D1DT03734J</a></p>
Chemical Design and Magnetic Ordering in Thin Layers of 2D Metal–Organic Frameworks (MOFs)
<p>Relevant data for publication with DOI: <a title="DOI URL" href="https://doi.org/10.1021/jacs.1c07802">10.1021/jacs.1c07802</a></p>
Collective magnetism in an artificial 2D XY spin system
<p>Open access data set for manuscript "Collective magnetism in an artificial 2D XY spin system" published in Nature Communicaltion 2018.</p>
Evolution of quantities in a 2D fully kinetic simulation of magnetic reconnection with a plasmaspheric plume
<p>We present the evolution of different quantities in a 2D fully kinetic simulation of magnetic reconnection with a plasmaspheric plume. The quantities are shown for a zoom in the region of interest, around the main reconnection X point. A picture showing the evolution of the X point position have been added.</p>
Data from: Catalytic self-folding of 2D structures through cascading magnet reactions
While thousands of proteins involved in development of the human body are capable of self-assembling in a distributed manner from merely 20 types of amino acid, macroscopic products that can be assembled spontaneously from `alive' components remains an aspiration in engineering. To attain such a mechanism, a major challenge lies in understanding which attributes from the bio-molecular realm must be leveraged at the macro-scale. Inspired by protein folding, we present a centimetre-size 1D tile chain whose self-folding processes are directed by structure-embedded magnetic interactions, which can theoretically self-assemble into convex 2D structures of any size or shape without the aid of a global `controller'. Each tile holds two magnets contained in paths designed to control their interactions. Once initiated by a magnetic unit (termed Catalyst), the chain self-reconfigures by consuming magnetic potential energy stored between magnet pairs, until the final 2D structure is reached at an energetic minimum. Both simulation and experimental results are presented to illustrate the method's efficacy on chains of arbitrary length. Results demonstrate the promise of a physically implemented, bottom-up, and scalable self-assembly method for novel 2D structure manufacturing, bridging the bio-molecular and mechanical realms.
Data from: Catalytic self-folding of 2D structures through cascading magnet reactions
Open the record for dataset details and reuse information.
BARREL 2D Ephemeris (EPHM) Geographic and Magnetic Coordinates, Level 2, 4 s Data
Geographic and Magnetic Coordinates: The ephemeris data products, which include the balloon epoch time, latitude, longitude, and altitude, are each returned from the payload once every 4s. Geographic coordinates are obtained from an onboard Global Positioning System, GPS, unit. Magnetic coordinates are derived by using the International Radiation Belt Environment Modeling, IRBEM, FORTRAN library.The BARREL Mission was a multiple-balloon investigation designed to study electron losses from Earth's Radiation Belts. Selected as a NASA Living with a Star Mission of Opportunity, BARREL was designed to augment the Radiation Belt Storm Probes, RBSP, mission by providing measurements of the spatial and temporal variations of electron precipitation from the radiation belts. The RBSP mission has since been renamed the Van Allen Probes mission. Each BARREL balloon carried an X-ray spectrometer to measure the bremsstrahlung X-rays produced by precipitating relativistic electrons as they collide with neutrals in the atmosphere, and a DC magnetometer to measure ULF-timescale variations of the magnetic field. BARREL observations collected near latitudes close to either the antarctic and arctic circles at stratospheric altitudes at about 30 km. The BARREL instrumentation provided the first balloon measurements of relativistic electron precipitation while comprehensive in situ measurements of both plasma waves and energetic particles were available. Also, the BARREL data has been used to characterize the spatial scale of precipitation at relativistic energies.The initial pair of balloon campaigns that were conducted initially during the Austral summer months of January and February of 2013 and 2014 with launches from two stations located in Antarctica: the British base located at Halley Bay on the Brunt Ice Shelf and the South African SANAE IV base (SANAE stand for South African National Antarctic Expedition) located in Vesleskarvet, Queen Maud Land. For the 2013 and 2014 the balloon campaigns, the launch plan was designed to maintain an array with about five payloads spread across about six hours of magnetic local time, MLT, in the region that magnetically maps to the radiation belts. Thus, the BARREL balloon constellation constituted an evolving and slowly moving array able to study relativistic electron precipitation from the radiation belts.Later campaigns were undertaken in 2015 and 2016 from the Esrange Space Center located in Kiruna, Sweden. The 2015 and 2016 campaigns were undertaken in coordination with the Van Allen Probes mission, the European Incoherent Scatter Scientific Association, EISCAT, incoherent scatter radar system, and other ground and space based instruments. Seven balloon launches occurred during the August 2015 BARREL campaign. A total of eight flights occurred during August 2016.Summing over the four BARREL campaigns, over 50 small, approximately 20 kg, stratospheric balloons were successively launched. The website creeated and hosted by A.J. Halford (see Information URL below) reports that: "By the end of the campaigns, there were over 90 researchers coordinating on a daily basis with the BARREL team working on 7 different satellite missions, 1 other balloon mission, and way too many ground based instruments to count." Although the BARREL mission launched only balloons during the years from 2013 to 2016, research using data collected on these flights is ongoing, so stay tuned for updates! All data and analysis software are freely available to the scientific community.The information listed above in this resource description was compiled by referencing several BARREL related resources including primarily the Millan et al. (2013) Space Science Reviews publication, the BARREL at Dartmouth mission web site, and the website maintained by A.J. Halford.The current release of all BARREL CDF data products are Version 10 files.BARREL will make all its scientific data products quickly and publicly available but all users are expected to read and follow the BARREL Data Usage Policy listed below.BARREL Data Usage PolicyBARREL data products are made freely available to the public and every effort is made to ensure that these products are of the highest quality. However, there may occasionally be issues with either the instruments or data processing that affect the accuracy of data. When possible, a quality flag is included in higher level data products, and known issues are posted in the BARREL data repository. You are also strongly encouraged to follow the guidelines below if you are planning a publication or presentation in which BARREL data are used. This will help you ensure that your science results are valid.* Users should always use the highest version numbers of data and analysis tools. Browse/quick-look plots are not intended for science analysis or publication and should not be used for those purposes without consent of the principal investigator, PI.* Users should notify the BARREL PI of the data use
BARREL 2D Tri-axial Fluxgate Magnetometer (MAGN) Magnetic Field Data, no Gain Correction, not Despun, Level 2, 0.25 s Data
Three axis DC magnetometer data with nominal conversions applied. Data are neither gain corrected nor despun.The BARREL Mission was a multiple-balloon investigation designed to study electron losses from Earth's Radiation Belts. Selected as a NASA Living with a Star Mission of Opportunity, BARREL was designed to augment the Radiation Belt Storm Probes, RBSP, mission by providing measurements of the spatial and temporal variations of electron precipitation from the radiation belts. The RBSP mission has since been renamed the Van Allen Probes mission. Each BARREL balloon carried an X-ray spectrometer to measure the bremsstrahlung X-rays produced by precipitating relativistic electrons as they collide with neutrals in the atmosphere, and a DC magnetometer to measure ULF-timescale variations of the magnetic field. BARREL observations collected near latitudes close to either the antarctic and arctic circles at stratospheric altitudes at about 30 km. The BARREL instrumentation provided the first balloon measurements of relativistic electron precipitation while comprehensive in situ measurements of both plasma waves and energetic particles were available. Also, the BARREL data has been used to characterize the spatial scale of precipitation at relativistic energies.The initial pair of balloon campaigns that were conducted initially during the Austral summer months of January and February of 2013 and 2014 with launches from two stations located in Antarctica: the British base located at Halley Bay on the Brunt Ice Shelf and the South African SANAE IV base (SANAE stand for South African National Antarctic Expedition) located in Vesleskarvet, Queen Maud Land. For the 2013 and 2014 the balloon campaigns, the launch plan was designed to maintain an array with about five payloads spread across about six hours of magnetic local time, MLT, in the region that magnetically maps to the radiation belts. Thus, the BARREL balloon constellation constituted an evolving and slowly moving array able to study relativistic electron precipitation from the radiation belts.Later campaigns were undertaken in 2015 and 2016 from the Esrange Space Center located in Kiruna, Sweden. The 2015 and 2016 campaigns were undertaken in coordination with the Van Allen Probes mission, the European Incoherent Scatter Scientific Association, EISCAT, incoherent scatter radar system, and other ground and space based instruments. Seven balloon launches occurred during the August 2015 BARREL campaign. A total of eight flights occurred during August 2016.Summing over the four BARREL campaigns, over 50 small, approximately 20 kg, stratospheric balloons were successively launched. The website creeated and hosted by A.J. Halford (see Information URL below) reports that: "By the end of the campaigns, there were over 90 researchers coordinating on a daily basis with the BARREL team working on 7 different satellite missions, 1 other balloon mission, and way too many ground based instruments to count." Although the BARREL mission launched only balloons during the years from 2013 to 2016, research using data collected on these flights is ongoing, so stay tuned for updates! All data and analysis software are freely available to the scientific community.The information listed above in this resource description was compiled by referencing several BARREL related resources including primarily the Millan et al. (2013) Space Science Reviews publication, the BARREL at Dartmouth mission web site, and the website maintained by A.J. Halford.The current release of all BARREL CDF data products are Version 10 files.BARREL will make all its scientific data products quickly and publicly available but all users are expected to read and follow the BARREL Data Usage Policy listed below.BARREL Data Usage PolicyBARREL data products are made freely available to the public and every effort is made to ensure that these products are of the highest quality. However, there may occasionally be issues with either the instruments or data processing that affect the accuracy of data. When possible, a quality flag is included in higher level data products, and known issues are posted in the BARREL data repository. You are also strongly encouraged to follow the guidelines below if you are planning a publication or presentation in which BARREL data are used. This will help you ensure that your science results are valid.* Users should always use the highest version numbers of data and analysis tools. Browse/quick-look plots are not intended for science analysis or publication and should not be used for those purposes without consent of the principal investigator, PI.* Users should notify the BARREL PI of the data use and investigation objectives. This will ensure that you are using the data appropriately and have the most recent version of the data or analysis routines. Additionally, if a BARREL team member is already working on a similar or related topic, they may be able to contribute intellectually
Carotid Phase-Contrast Magnetic Resonance before Treatment: 4D-Flow versus Standard 2D Imaging
<p>Secchi F, Monti CB, Capra D, Vitale R, Mazzaccaro D, Conti M, Jin N, Giese D, Nano G, Sardanelli F, Marrocco-Trischitta MM. Carotid Phase-Contrast Magnetic Resonance before Treatment: 4D-Flow versus Standard 2D Imaging. Tomography. 2021 Sep 28;7(4):513-522. doi: 10.3390/tomography7040044. PMID: 34698250; PMCID: PMC8544659.</p> <p>Abstract</p> <p>The purpose of this study was to evaluate the level of agreement between flow/velocity data obtained from 2D-phase-contrast (PC) and 4D-flow in patients scheduled for treatment of carotid artery stenosis. Image acquisition was performed using a 1.5 T scanner. We compared mean flow rates, vessel areas, and peak velocities obtained during the acquisition with both techniques in 20 consecutive patients, 15 males and 5 females aged 69 ± 5 years (mean ± standard deviation). There was a good correlation between both techniques for the CCA flow (<em>r</em> = 0.65, <em>p</em> < 0.001), whereas for the ICA flow and ECA flow the correlation was only moderate (<em>r</em> = 0.4, <em>p</em> = 0.011 and <em>r</em> = 0.45, <em>p</em> = 0.003, respectively). Correlations of peak velocities between methods were good for CCA (<em>r</em> = 0.56, <em>p</em> < 0.001) and moderate for ECA (<em>r</em> = 0.41, <em>p</em> = 0.008). There was no correlation for ICA (<em>r</em> = 0.04, <em>p</em> = 0.805). Cross-sectional area values between methods showed no significant correlations for CCA (<em>r</em> = 0.18, <em>p</em> = 0.269), ICA (<em>r</em> = 0.1, <em>p</em> = 0.543), and ECA (<em>r</em> = 0.05, <em>p</em> = 0.767). Conclusion: the 4D-flow imaging provided a good correlation of CCA and a moderate correlation of ICA flow rates against 2D-PC, underestimating peak velocities and overestimating cross-sectional areas in all carotid segments.</p>
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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.
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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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.