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4,376 results for “magnetism”
IODP Expedition 379 Magnetic susceptibility (Kappabridge)
Bulk magnetic susceptibility and anisotropy of magnetic susceptibility (AMS) were measured on discrete samples using an Agico KLY-4 Kappabridge susceptibility meter. Report includes individual and average principal susceptibilities, inclination and declination of principal susceptibilities, and volume-corrected bulk susceptibility.
IODP Expedition 379 Magnetic remanence (SRM-longcore)
Magnetic remanence was measured on section halves (and rarely on whole-round sections) using a 2G Enterprises 760R cryogenic magnetometer, first as natural remanent magnetization (NRM) and then after demagnetization steps were performed on the samples by alternating field (AF) demagnetizer coils mounted in-line within the instrument.
IODP Expedition 379 Magnetic remanence (spinner)
Magnetic remanence was measured on discrete samples by an Agico JR-6A spinner magnetometer, first as natural remanent magnetization (NRM) and then after demagnetization or remagnetization steps were performed on the samples (e.g., alternating field [AF] demagnetization, thermal demagnetization [TD], or isothermal remanent magnetization [IRM]).
IODP Expedition 371 Magnetic susceptibility (whole round)
Magnetic susceptibility was measured on whole-round sections (and rarely section halves) on the Whole-Round Multisensor Logger (WRMSL) and/or Special Task Multisensor Logger (STMSL) using a Bartington MS2 meter and a 90 mm or 80 mm MS2C loop. As volume of the sample is not controlled for this experiment, susceptibility units are recorded in instrument units and are not volume-corrected.
IODP Expedition 371 Magnetic susceptibility (point or contact system)
Magnetic susceptibility was measured on section halves on the Section Half Multisensor Logger (SHMSL) using a Bartington MS2 meter and either a MS2E or MS2K probe. Because all JRSO cores meet minimum size requirements for these two probes, MSPOINT data are corrected for volume and recorded in SI susceptibility units (x10<sup>-5</sup>).
IODP Expedition 371 Magnetic remanence (spinner)
Magnetic remanence was measured on discrete samples by an Agico JR-6A spinner magnetometer, first as natural remanent magnetization (NRM) and then after demagnetization or remagnetization steps were performed on the samples (e.g., alternating field [AF] demagnetization, thermal demagnetization [TD], or isothermal remanent magnetization [IRM]).
IODP Expedition 371 Magnetic remanence (SRM-longcore)
Magnetic remanence was measured on section halves (and rarely on whole-round sections) using a 2G Enterprises 760R cryogenic magnetometer, first as natural remanent magnetization (NRM) and then after demagnetization steps were performed on the samples by alternating field (AF) demagnetizer coils mounted in-line within the instrument.
IODP Expedition 360 Magnetic susceptibility (whole round)
Magnetic susceptibility was measured on whole-round sections (and rarely section halves) on the Whole-Round Multisensor Logger (WRMSL) and/or Special Task Multisensor Logger (STMSL) using a Bartington MS2 meter and a 90 mm or 80 mm MS2C loop. As volume of the sample is not controlled for this experiment, susceptibility units are recorded in instrument units and are not volume-corrected.
IODP Expedition 360 Magnetic remanence (SRM-longcore)
Magnetic remanence was measured on section halves (and rarely on whole-round sections) using a 2G Enterprises 760R cryogenic magnetometer, first as natural remanent magnetization (NRM) and then after demagnetization steps were performed on the samples by alternating field (AF) demagnetizer coils mounted in-line within the instrument.
IODP Expedition 360 Magnetic susceptibility (point or contact system)
Magnetic susceptibility was measured on section halves on the Section Half Multisensor Logger (SHMSL) using a Bartington MS2 meter and either a MS2E or MS2K probe. Because all JRSO cores meet minimum size requirements for these two probes, MSPOINT data are corrected for volume and recorded in SI susceptibility units (x10<sup>-5</sup>).
First-principles prediction of the Co-Al phase diagram including configurational, vibrational and magnetic contributions
<p>Documentation for the Dataset used in the publication entitled "First-principles prediction of the Co–Al phase diagram including configurational, vibrational and magnetic contributions" <br>** These datasets comprise all configurations used in Co-Al system and their formation enthalpies at different temperatures, where configurational, vibrational and magnetic contributions were considered. Hcp Co and fcc Al were used as reference states. **<br>** More details about the methodology can be found in the paper "First-principles prediction of the Co-Al phase diagram including configurational, vibrational and magnetic contributions, Journal of Materials Research and Technology, 2024" **</p> <p>1. bcc-Co-Al.zip<br>- Description: bcc-Co-Al.zip is a compressed folder. It contains Al1-xCox configurations with bcc lattice used to fit the cluster expansion (CE). Each folder contains a POSCAR file that correspons to a configuration. The POSCAR can be opened with Notepad and visualized with VESTA software.</p> <p>2. fcc-Co-Al.zip<br>- Description: fcc-Co-Al.zip is a compressed folder. It contains Al1-xCox configurations with fcc lattice used to fit the CE. Each folder contains a POSCAR file that correspons to a configuration. The POSCAR can be opened with Notepad and visualized with VESTA software.</p> <p>3. hcp-Co-Al.zip<br>- Description: hcp-Co-Al.zip is a compressed folder. It contains Al1-xCox configurations with hcp lattice used to fit the CE. Each folder contains a POSCAR file that correspons to a configuration. The POSCAR can be opened with Notepad and visualized with VESTA software.</p> <p><br>4. Formation enthalpies of bcc-Co-Al.xlsx<br>- Description: Formation enthalpies of bcc lattice in Co-Al system at different temperatures, which includes the effect of lattice vibration and magnetic excitation. Fcc Al and hcp Co were used as reference states.</p> <p>- Variable description by columns:<br> 1-(Folder name) - type: numerical (integer)<br> Description: Each folder name in the bcc-Co-Al.zip corresponds to a configuration.<br> 2- (at. fraction of Co (%)) - type: numerical (float)<br> Description: The atomic fraction of Co in each configuration.<br> 3- (H_f^(conf)(DFT) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 0 K calculated by density functional theory (DFT) following eq.(18) in the paper.<br> 4- (H_f^(conf)(CE) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 0 K fitted by CE. <br> 6- (at. fraction of Co (%)) - type: numerical (float)<br> Description: The atomic fraction of Co in each configuration.<br> 7- (H_f^(conf+vib+mag)(Cal.) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 400 K calculated by DFT, the bond length vs. bond stiffness relationship and Monte Carlo simulation of the Heisenberg Hamiltonian following eq.(20) in the paper.<br> 8- (H_f^(conf+vib+mag)(CE) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 400 K fitted by CE. <br> 10- (at. fraction of Co (%)) - type: numerical (float)<br> Description: The atomic fraction of Co in each configuration.<br> 11- (H_f^(conf+vib+mag)(Cal.) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 800 K calculated by DFT, the bond length vs. bond stiffness relationship and Monte Carlo simulation of the Heisenberg Hamiltonian following eq.(20) in the paper.<br> 12- (H_f^(conf+vib+mag)(CE) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 800 K fitted by CE. <br> 14- (at. fraction of Co (%)) - type: numerical (float)<br> Description: The atomic fraction of Co in each configuration.<br> 15- (H_f^(conf+vib+mag)(Cal.) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 1200 K calculated by DFT, the bond length vs.bond stiffness relationship and Monte Carlo simulation of the Heisenberg Hamiltonian following eq.(20) in the paper.<br> 16- (H_f^(conf+vib+mag)(CE) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 1200 K fitted by CE.<br> 18- (at. fraction of Co (%)) - type: numerical (float)<br> Description: The atomic fraction of Co in each configuration.<br> 19- (H_f^(conf+vib+mag)(Cal.) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 1600 K calculated by DFT, the bond length vs.bond stiffness relationship and Monte Carlo simulation of the Heisenberg Hamiltonian following eq.(20) in the paper.<br> 20- (H_f^(conf+vib+mag)(CE) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 1600 K fitted by CE.</p> <p><br>5. Formation enthalpies of fcc Co-Al.xlsx<br>- Description: Formation enthalpies of fcc lattice in Co-Al system at different temperatures, which includes the effect of lattice vibration and magnetic excitation. Fcc Al and hcp Co were used as reference states.</p> <p>- Variable descriptions by columns are the same as those of Formation enthalpies of bcc-Co-Al.xlsx.</p> <p><br>6. Formation enthalpies of hcp-Co-Al.xlsx<br>- Description: Formation enthalpies of hcp lattice in Co-Al system at different temperatures, which includes the effect of lattice vibration and magnetic excitation. Fcc Al and hcp Co were used as reference states.</p> <p>- Variable descriptions by columns are the same as those of Formation energies of bcc-Co-Al.xlsx.</p> <p><br>7. ECIs of bcc-Co-Al at different temperatures.txt<br>- Description: ECIs of bcc lattice in Co-Al system from 0 to 2000 K with increment step of 10 K. The ECIs at different temperatures are separated by blank lines. ECIs at 0 K means that only configurational contribution was considered. ECIs at finite temperature means that configurational, vibrational and magnetic contributions were considered.</p> <p><br>8. ECIs of fcc-Co-Al at different temperatures.txt<br>- Description: ECIs of fcc lattice in Co-Al system from 0 to 2000 K with increment step of 10 K. The ECIs at different temperatures are separated by blank lines. ECIs at 0 K means that only configurational contribution was considered. ECIs at finite temperature means that configurational, vibrational and magnetic contributions were considered.</p> <p><br>9. ECIs of hcp-Co-Al at different temperatures.txt<br>- Description: ECIs of hcp lattice in Co-Al system from 0 to 2000 K with increment step of 10 K. The ECIs at different temperatures are separated by blank lines. ECIs at 0 K means that only configurational contribution was considered. ECIs at finite temperature means that configurational, vibrational and magnetic contributions were considered.</p> <p><br>10. Clusters of bcc-Co-Al.txt<br>- Description: Cluster information of bcc lattice in Co-Al system. Each cluster is separated by a blank line. Each cluster contains: multiplicity; Length of the longest pair within the cluster; number of points in cluster; coordinates of point. They are arranged in a row.</p> <p><br>11. Clusters of fcc-Co-Al.txt<br>- Description: Cluster information of fcc lattice in Co-Al system. Each cluster is separated by a blank line. Each cluster contains: multiplicity; Length of the longest pair within the cluster; number of points in cluster; coordinates of point. They are arranged in a row.</p> <p><br>12. Clusters of hcp-Co-Al.txt<br>- Description: Cluster information of hcp lattice in Co-Al system. Each cluster is separated by a blank line. Each cluster contains: multiplicity; Length of the longest pair within the cluster; number of points in cluster; coordinates of point. They are arranged in a row.</p>
IODP Expedition 397 Magnetic susceptibility (point or contact system)
Magnetic susceptibility was measured on section halves on the Section Half Multisensor Logger (SHMSL) using a Bartington MS2 meter and either a MS2E or MS2K probe. Because all JRSO cores meet minimum size requirements for these two probes, MSPOINT data are corrected for volume and recorded in SI susceptibility units (x10<sup>-5</sup>).
IODP Expedition 397 Magnetic remanence (SRM-longcore)
Magnetic remanence was measured on section halves (and rarely on whole-round sections) using a 2G Enterprises 760R cryogenic magnetometer, first as natural remanent magnetization (NRM) and then after demagnetization steps were performed on the samples by alternating field (AF) demagnetizer coils mounted in-line within the instrument.
IODP Expedition 397 Magnetic susceptibility (whole round)
Magnetic susceptibility was measured on whole-round sections (and rarely section halves) on the Whole-Round Multisensor Logger (WRMSL) and/or Special Task Multisensor Logger (STMSL) using a Bartington MS2 meter and a 90 mm or 80 mm MS2C loop. As volume of the sample is not controlled for this experiment, susceptibility units are recorded in instrument units and are not volume-corrected.
IODP Expedition 397 Magnetic remanence (spinner)
Magnetic remanence was measured on discrete samples by an Agico JR-6A spinner magnetometer, first as natural remanent magnetization (NRM) and then after demagnetization or remagnetization steps were performed on the samples (e.g., alternating field [AF] demagnetization, thermal demagnetization [TD], or isothermal remanent magnetization [IRM]).
IODP Expedition 397 Magnetic remanence (SRM-discrete)
Raw data files for the magnetic remanence measurements of discrete and section-half samples on the superconducting rock magnetometer (SRM-DISC and SRM-SECT) are stored on by hole and by expedition, and are designated as discrete samples, section halves, or, rarely, whole-round sections.
Supplementary dataset for "Magnetic recording fidelity of basalts through 3D nanotomography, 2024"
<p>This repository contains raw data and scripts needed to reproduce the results presented in "Magnetic recording fidelity of basalts through 3D nanotomography, 2024". These include slice-and-view image stacks (<a href="../api/records/11369780/draft/files/VesuviusSnVTiffStack.tif/content" target="_blank" rel="noopener noreferrer">VesuviusSnVTiffStack.tif</a> for the Vesuvius dataset and <a href="../api/records/11369780/draft/files/HeklaSnVTiffStack.tif/content" target="_blank" rel="noopener noreferrer">HeklaSnVTiffStack.tif</a> for the Hekla Volume) for the samples discussed in the manuscript. These were used to generate 3D meshes of magnetite grains in the volume using the methodology described in the manuscript. <a href="../api/records/11369780/draft/files/Individual%20Meshes%20Vesuvius.7z/content" target="_blank" rel="noopener noreferrer">Individual Meshes Vesuvius.7z</a> and <a href="../api/records/11369780/draft/files/Individual%20Meshes%20Hekla.7z/content" target="_blank" rel="noopener noreferrer">Individual Meshes Hekla.7z</a> contain the individual 3D mesh .pat files, while <a href="../api/records/11369780/draft/files/Hekla%20Full%20Volume.stl/content" target="_blank" rel="noopener noreferrer">Hekla Full Volume.stl</a> and <a href="../api/records/11369780/draft/files/Vesuvius%20Full%20Volume.stl/content" target="_blank" rel="noopener noreferrer">Vesuvius Full Volume.stl</a> show full 3D representations of the studied volumes. The individual mesh files can be used as geometry inputs for micromagnetic simulations using the MERRILL suite . Example MERRILL scripts are also included, with <a href="../api/records/11369780/draft/files/LEM_StateMerrilScript.merrill/content" target="_blank" rel="noopener noreferrer">LEM_StateMerrilScript.merrill</a> showing an example of a script used to determine the local energy minimum (LEM) state of a magnetic grain and <a href="../api/records/11369780/draft/files/NEB_Merril_Script.merrill/content" target="_blank" rel="noopener noreferrer">NEB_Merril_Script.merrill</a> showing a script to determine the energy barriers between LEM states used in the calculation of relaxation times. Finally ".csv" files containing grain metrics are also included for both of the studied samples ( <a href="../api/records/11369780/draft/files/HeklaGrainMetrics.csv/content" target="_blank" rel="noopener noreferrer">HeklaGrainMetrics.csv</a> and <a href="../api/records/11369780/draft/files/VesuviusGrainMetrics.csv/content" target="_blank" rel="noopener noreferrer">VesuviusGrainMetrics.csv</a> ). These contain information on the size of the individual particles, their morphology, the LEM states they support and the energy barries from the NEB calculation.</p>
Data from: PIC/Fluid Simulations of the Plasma Expansion in a Magnetic Arch
<h2>Data from: PIC/Fluid Simulations of the Plasma Expansion in a Magnetic Arch</h2> <ul> <li>Authors: Matteo Guaita, Eduardo Ahedo, Mario Merino</li> <li>Contact email: mguaita@pa.uc3m.es</li> <li>Date: 17/07/2024</li> <li>Keywords: Plasma Physics, Plasma Plumes, Magnetic Nozzles, Facility Effects, Particel in Cell</li> <li>Version: 1.0.0</li> <li>Digital Object Identifier (DOI): 10.5281/zenodo.12751281</li> <li>License: This dataset is made available under the <a href="http://opendatacommons.org/licenses/by/1.0/" target="_blank" rel="noopener">Open Data Commons Attribution License</a></li> </ul> <h2>Abstract</h2> <p>This dataset contains the data from the simulations presented in the article published Plasma Sources Science and Technology (PSST):</p> <p>"PIC/Fluid Simulations of the Plasma Expansion in a Magnetic Arch"</p> <p>DOI: <a href="https://doi.org/10.1088/1361-6595/adab8e">https://doi.org/10.1088/1361-6595/adab8e</a></p> <p>The data in this repository is the result of several hybrid fluid/PIC simulations as described in the reference. For further information on the setup, numerical parameters and physical meaning of the simulations please refer to the article}</p> <h2>Dataset description</h2> <p>The simulations that produced the datasets in this repository were run with the planar, polytropic version of EP2PLUS. The data is at steady-state, and has been averaged over the last 200 simulation time-steps to reduce numerical noise. This averaging has been performed directly by the code through time-step accumulation techniques.</p> <h2>Data files</h2> <p>Each HDF5 data-group contains the mesh coordinates and plasma properties at steady-state of a specific simulation. In particular the naming convention is the following:</p> <ul> <li><strong>Chi30.hdf5: </strong>Contains the results of the "reference simulation" presented first in the article. For this simulation the hall parameter is assumed uniform and equal to 30</li> <li><strong>Chi3.hdf5: </strong>Contains the results of the simulation with a reduced magnetic field and a uniform hall parameter equal to 3</li> <li><strong>Chi10.hdf5: </strong>Contains the results of the simulation with a reduced magnetic field and a uniform hall parameter equal to 10</li> <li><strong>Chi150.hdf5: </strong>Contains the results of the simulation with an increased magnetic field and a uniform hall parameter equal to 150</li> <li><strong>Big_Domain.hdf5: </strong>Contains the results of the simulation with a doubled domain size and a uniform hall parameter equal to 150</li> <li><strong>In-Space.hdf5: </strong>Contains the results of the simulation with in-space boundary conditions on the electron currents and a hall parameter equal to 150</li> <li><strong>BGP.hdf5: </strong>Contains the results of the simulation that considers the presence of neutral particles and of a uniform neutral background density representing the facility background</li> </ul> <p>In each of these data-groups the quantities are given at the nodes of the simulation mesh:</p> <ul> <li><strong>xs:</strong> Physical x coordinates [m]</li> <li><strong>zs:</strong> Physical z coordinates [m]</li> <li><strong>Bx:</strong> Magnetic field along x [T]</li> <li><strong>Bz: </strong>Magnetic field along z [T]</li> <li><strong>n: </strong>Plasma (ion) density [1/m³]</li> <li><strong>phi: </strong>electric potential [V]</li> <li><strong>Phi: </strong>Thermalized potential [V]</li> <li><strong>ji_x: </strong>Ion current along x [A/m²]</li> <li><strong>ji_y: </strong>Ion current along y [A/m²]</li> <li><strong>ji_z: </strong>Ion current along z [A/m²]</li> <li><strong>je_x: </strong>Electron current along x [A/m²]</li> <li><strong>je_y: </strong>Electron current along y [A/m²]</li> <li><strong>je_z: </strong>Electron current along z [A/m²]</li> </ul> <p>In the datafiles of the BGP simulation note that "fi" and "si" stand respectively for fast and slow ions, and that the following additional data is provided:</p> <ul> <li><strong>nn: </strong>Neutral density [1/m³]</li> <li><strong>fn_x: </strong>Neutral flux along x [1/(m² s)]</li> <li><strong>fn_y: </strong>Neutral flux along y [1/(m² s)]</li> <li><strong>fn_z: </strong>Neutral flux along z [1/(m² s)]</li> </ul> <p>Note that all the other quantities shown in the article may be obtained from the ones saved here by simply remembering that the gas employed is Xenon and that all ions are singly charged.</p> <h2>Citation</h2> <p>Any works using this dataset or any part of it in any form shall cite it as follows. The BibTeX entry s provided for convenience:</p> <p>@dataset{sim_data_guai25a,<br> author = {Matteo Guaita and Eduardo Ahedo and Mario Merino},<br> title = {{Data from: PIC/Fluid Simulations of the Plasma Expansion in a Magnetic Arch}},<br> month = July,<br> year = 2024,<br> publisher = {Zenodo},<br> version = {1.0.1},<br> doi = {10.5281/zenodo.12751281},<br> url = {https://doi.org/10.5281/zenodo.12751281}<br>}</p> <p>The journal article associated with this data-set shall also be cited as follows:</p> <p>@article{guai25a,<br>doi = {10.1088/1361-6595/adab8e},<br>year = {2025},<br>month = {jan},<br>publisher = {IOP Publishing},<br>author = {M Guaita and E Ahedo and M Merino},<br>title = {PIC/Fluid simulations of the plasma expansion in a planar magnetic arch},<br>volume = {34},</p> <p>number = {1},<br>pages = {015007},<br>journal = {Plasma Sources Science and Technology},<br>}</p> <h2>Acknowledgments</h2> <p>This dataset was created by the <a href="https://erc-zarathustra.uc3m.es/">ERC-ZARATHUSTRA project</a>.</p> <p>The ERC-ZARATHUSTRA project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 950466).</p>
Magnetic, gravity and seismicity data for the Monchique intrusion and surroundings (SW Portugal, SW Iberia)
<p>This dataset contains the following data:</p> <p> </p> <p><strong>1.</strong> Magnetic anomaly data (processed line data) acquired by drone-borne magnetometer for the Monchique area (.dat file)</p> <p><strong>2.</strong> Magnetic and gravity anomaly maps for the Monchique area in SW Portugal, SW Iberia:</p> <ul> <li>Magnetic anomaly (.tif and .grd files)</li> <li>Reduced to the pole (RTP) magnetic anomaly (.tif and .grd files)</li> <li>Free air gravity anomaly (.tif and .grd files)</li> <li>Complete Bouguer gravity anomaly, after terrain correction (.tif and .grd files)</li> </ul> <p><strong>3.</strong> Seimicity data:</p> <ul> <li>Relocated earthquakes that occurred between 01/01/2007 and 01/07/2023 in the Monchique area (.xlsx file)</li> <li>Focal mechanisms (moment tensor inversion solutions) of earthquakes occurred in the Monchique area (.xlsx file)</li> </ul> <p> </p> <p>For all details on data collection and processing please refer to:</p> <p>Neres, M., Camargo, G., Soares, A., Custódio, S., Bos, M., Vales, D., & Terrinha, P. (2024). Monchique alkaline magmatic intrusion (SW Iberia): Geophysical modeling and relationship with active seismicity and hydrothermalism. <em>Tectonophysics</em>. <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.tecto.2024.230426" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.tecto.2024.230426</a></p> <p> </p>
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>
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