Find research datasets worth reusing

opencc-by-4.0Feb 2020View details →

Remote detection and recording of atomic-scale spin dynamics

This folder contains all data and all processing files for the paper titled "Remote detection and recording of atomic-scale spin dynamics". View full paper here: https://www.nature.com/articles/s42005-020-0361-z

opencc-zeroAug 2016View details →

Spinning test-body orbiting around Schwarzschild black hole: circular dynamics and gravitational-wave fluxes

We release gravitational wave fluxes at null-infinity from a spinning test-body in circular equatorial orbits around a Schwarzschild black hole. Four different prescriptions are used for the dynamics:  the Mathisson-Papapetrou formalism under the Tulczyjew (TUL) spin-supplementary-condition (SSC), the Pirani (PIR) SSC and the Ohashi-Kyrian-Semerak (OKS) SSC, and the spinning particle limit of the effective-one-body Hamiltonian (HAM) of [Phys.~Rev.~D.90,~044018(2014)]. For more details see xxxx . The multipolar fluxes are given for l=2,3 m=1,2,3 at the Boyer-Lindquist radii   r =  4 5 6 7 8 10 12 15 20 30   , in cases they were not computed the data contains a "42". Note that the fluxes in these data files are assumed to contain both the +m and -m contributions, since they are identical for equatorial orbits and aligned spins.  Additionally, the data files contain the key numbers describing the circular dynamics (see paper). Units c=G=1.

opencc-by-4.0Feb 2022View details →

Datasets for publication titled "Chiral control of spin-crossover dynamics in Fe(II) complexes"

Transient absorption (TA), transient absorption anisotropy (TAA), and time-resolved circular dichroism (TRCD) datasets analyzed and interpreted in the publication titled "Chiral control of spin-crossover dynamics in Fe(II) complexes" published in Nature Chemistry under the DOI 10.1038/s41557-022-00933-0.

opencc-by-4.0Aug 2023View details →

Terahertz Néel spin-orbit torques drive nonlinear magnon dynamics in antiferromagnetic Mn2Au

Data for the publication "Terahertz Néel spin-orbit torques drive nonlinear magnon dynamics in antiferromagnetic Mn2Au", published in Nat Commun 14, 6038 (2023). (https://doi.org/10.1038/s41467-023-41569-z). A preprint (2023) can be found on arxiv (https://doi.org/10.48550/arXiv.2305.03368). The datasets are provided for Figures 2-4. Files are provided as comma-separated text files with column headers. The value delimiter is comma " , ". The decimal separator is period " . "

opencc-by-4.0Apr 2024View details →

Research Data - Collective Spin-Wave Dynamics in Gyroid Ferromagnetic Nanostructures

Source data from ferromagnetic resonance experiments and micromagnetic simulations in tetmag software (<a href="https://github.com/R-Hertel/tetmag">https://github.com/R-Hertel/tetmag</a>), used in the paper "Collective Spin-Wave Dynamics in Gyroid Ferromagnetic Nanostructures" in ACS Applied Materials & Interfaces (<a href="https://doi.org/10.1021/acsami.4c02366">https://doi.org/10.1021/acsami.4c02366</a>).

opencc-by-4.0Jan 2022View details →

Atomistic spin dynamics simulations of iron and cobalt

Atomistic spin dynamics (ASD) simulations of ultrafast demagnetization in ferromagnetic iron and cobalt. The ASD simulations here are energy-conserving, which means that energy flow into and out of the spin system is considered. The dataset contains simulations at four different pump laser fluences for iron and six different fluences for cobalt. The excitation was assumed to be homogeneous throughout the simulated volume. The heat capacities and electron-phonon coupling parameters which were used in the ASD simulations are provided in the folder "heat capacities and G_ep". More information is available here: - https://arxiv.org/abs/2110.00525 - Zahn et al. Phys. Rev. Research 3, 023032 (2021) https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.3.023032

opencc-by-4.0Jun 2022View details →

Design Principles for the Development of Gd(III) Polarizing Agents for Magic Angle Spinning Dynamic Nuclear Polarization

This is the raw dataset for publication  Design Principles for the Development of Gd(III) Polarizing Agents for Magic Angle Spinning Dynamic Nuclear Polarization. with the DOI of 10.1021/acs.jpcc.2c01721. It contains all NMR, EPR raw data and the MATLAB codes that are used in this paper. For details, please refer to the readme file.

opencc-by-4.0Mar 2022View details →

Time-encoded pseudo-continuous arterial spin labeling: increasing SNR in ASL dynamic angiography

This repository contains the raw K-space data and all MATLAB (The MathWorks, Natick, MA) code used for reconstruction, simulations, data analysis, and figure generation used in the article titled "Time-encoded pseudo-continuous arterial spin labeling: increasing SNR in ASL dynamic angiography". ## Referencing If you use any of the data or the code provided here, please cite: 1. Woods JG, Schauman SS, Chiew M, Chappell MA, Okell TW. Time-encoded pseudo-continuous arterial spin labeling: Increasing SNR in ASL dynamic angiography. Magnetic Resonance in Medicine. 2023; doi:10.1002/mrm.29491 2. This Zenodo repository: Joseph G. Woods, S. Sophie Schauman, Mark Chiew, Michael A. Chappell & Thomas W. Okell. (2022). Time-encoded pseudo-continuous arterial spin labeling: increasing SNR in ASL dynamic angiography [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6791097   If you use the reconstruction code provided here, please also cite: 1. Fessler JA, Sutton BP. Nonuniform fast fourier transforms using min-max interpolation. IEEE Transactions on Signal Processing. 2003;51(2):560-574. doi:10.1109/TSP.2002.807005 2. Fessler JA. Michigan Image Reconstruction Toolbox. https://web.eecs.umich.edu/~fessler/code/. Accessed February 26, 2018. 3. Schauman SS. Accelerated_TEASL. https://github.com/SophieSchau/Accelerated_TEASL. Accessed October 19, 2020. 4. Chiew M. MR Linear Encoding Operators. https://users.fmrib.ox.ac.uk/~mchiew/Tools.html. Accessed March 30, 2020. ## Notes for use: All data processing is performed in MATLAB (tested with 2021a and 2021b on macOS 10.14 (Mojave) and 12 (Monterey)) The "code/" and "data/" folders should be placed within the same folder. The necessary file paths within each script in "code/" will be set up automatically. **Note**: the file paths use "/", so would need to be manually changed for use on Windows, which uses "\" in file paths. - For performing full reconstruction of in vivo K-space data, **run reconalldata.m**.     - All code provided     - Uses:         1. Jeff Fessler's MIRT: http://web.eecs.umich.edu/~fessler/irt/fessler.tgz         2. Mark Chiew's: xfm_NUFFT.m, etc: https://users.fmrib.ox.ac.uk/~mchiew/Tools.html         3. Sophie Schauman's Accelerated_TEASL: https://github.com/SophieSchau/Accelerated_TEASL - For plotting in-vivo data, **run figures_invivo.m**.     - FSL's read_avw to read in NIFTIs (but can replace this with MATLAB's in-built niftiread instead).         - (Install FSL from here: https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FslInstallation)     - All other code provided - For performing simulation and plotting results, **run figures_simulation.m**.     - All code provided - Location of specific Figure generation code:     - Figure 1: no code - manually made.     - Figure 2: figures_invivo.m     - Figure 3: figures_simulation.m     - Figure 4: figures_invivo.m     - Figure 5: figures_invivo.m     - Figure 6: figures_invivo.m     - Figure 7: figures_invivo.m     - Figure 8: figures_invivo.m     - Figure 9: figures_simulation.m     - Figure 10: figures_invivo.m     - Supporting Information Figure S1: figures_simulation.m     - Supporting Information Figure S2: figures_invivo.m     - Supporting Information Figure S3: figures_invivo.m     - Supporting Information Figure S4: figures_invivo.m     - Supporting Information Figure S5: figures_invivo.m     - Supporting Information Figure S6: figures_invivo.m     - Supporting Information Figure S7: figures_invivo.m     - Supporting Information Figure S8: figures_invivo.m     - Supporting Information Figure S9: figures_invivo.m     - Supporting Information Figure S10: figures_simulation.m

opencc-by-4.0May 2024View details →

Microscopic understanding of NMR signals by dynamic mean-field theory for spins

Data collection for several plots of the article <a href="https://doi.org/10.1016/j.ssnmr.2024.101936">Microscopic understanding of NMR signals by dynamic mean-field theory for spins</a>. Each hdf5-file contains one or several datasets of a specific figure. The datasets are described by the attribute "description".

opencc-by-4.0Jun 2024View details →

Many-body quantum dynamics of spin-orbit coupled Andreev states in a Zeeman field

We provide the raw data used to produce Figs.3-6-7-8-9-10-11 of our paper "Many-body quantum dynamics of spin-orbit coupled Andreev states in a Zeeman field"

openapache2.0Dec 2022View details →

Quantum critical dynamics in a 5000-qubit programmable spin glass: data repository

Supporting data for "Quantum critical dynamics in a 5000-qubit programmable spin glass", Nature, 2023.

opencc-by-4.0Sep 2023View details →

Dataset for "Impact of surface anisotropy on the spin-wave dynamics in thin ferromagnetic film"

The dataset consist of the data used to prepare the figures for the manusript entitled Impact of surface anisotropy on the spin-wave dynamics in thin ferromagnetic film.  Please read README.txt file to see the description of the data in the files.

opencc-by-4.0Dec 2020View details →

Coherent spin dynamics of solitons in the organic spin chain compounds (o-DMTTF)2X (X = Cl, Br)

Dataset of the paper https://doi.org/10.1103/PhysRevB.100.224414

opencc-by-4.0Dec 2020View details →

Real-time benchmark dynamics of the Ohmic Spin-Boson Model computed with Time-Dependent Variational Matrix Product States. (TDVMPS) coupling strength and temperature parameter space

Data describing the complete propagators (maps) for the evolution of the Ohmic Spin-Boson Model are made available, here. Using a time-dependent variotnal matrix product states (TDVMPS) respresentation of the complete spin-environment wave function, non -perturbative results are presented over a wide range of coupling strengths, temperatures and initial conditions. The results in this repository are associated with the article:  https://www.preprints.org/manuscript/202012.0016/v1   A mathematica notebook that allows the data to be visualised and manipulated is also provided.

opencc-by-4.0Jan 2021View details →

Exact Spin-Boson-Model Tunneling Dynamics with Time Dependent Variation Matrix Product States (TDVMPS). Barrier height and temperature parameter space

Spin-Boson tunnelling data acquired using the T-TEDOA method for Time-Dependent-Variational-Matrix-Product-States (TDVMPS) accompanying the paper <a href="https://doi.org/10.3389/fchem.2020.600731">https://doi.org/10.3389/fchem.2020.600731</a>.

opencc-by-4.0Nov 2023View details →

XMCD data and XAS spectra, and simulation data for Clocked Dynamics in Artificial Spin Ice

Experimental dataRaw 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 Clocked dynamics in artificial spin ice. Additionally, XAS spectra of the Fe L3 edge obtained prior to imaging are included.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.  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.Simulation dataThe resulting data from flatspin simulations that are plotted as magnetization curves in the paper Clocked dynamics in artificial spin ice. The folder "flatspin-unipolar" contains the data for the unipolar clocking experiment. The folder "flatspin-bipolar" contains the data for the bipolar clocking experiment.

opencc-by-4.0Mar 2024View details →

Data generated from calculations in "Gauge Field Dynamics in a Multilayer Kitaev Spin Liquid"

The Kitaev honeycomb model hosts a quantum spin liquid in its ground state, where the excitations are gapless Majorana fermions and static Z2 gauge fluxes called visons. We consider Kitaev models stacked on top of each other, weakly coupled by Heisenberg interaction linear in J&perp;. This inter-layer coupling breaks the integrability of the model and makes the gauge fields dynamic. While single visons stay static in this model, an inter-layer pair of visons can hop with a hopping amplitude linear in J&perp;, but remains confined to a single plane. An intra-layer vison-pair, in contrast, is constrained to move along the stacking direction only. Depending on the anisotropy of the Kitaev couplings Kx,Ky,Kz, the intra-layer vison pairs show completely different dynamical behaviours. While coherent intra-layer tunnelling is possible for sufficiently strong anisotropies, only incoherent processes are possible in the isotropic case. When a magnetic field opens a gap for Majorana fermions, one can identify two types of intra-layer vison pairs, one bosonic and one fermionic. Only the bosonic pair obtains a hopping rate linear in J&perp;. We argue that our results can be used to identify leading instabilities of the Kitaev phase induced by the inter-layer coupling.

opencc-by-4.0Jun 2023View details →

Dynamics of magnetization at infinite temperature in a Heisenberg spin chain

Transferred magnetization data presented in arxiv.org/abs/2306.09333.  The files are named according to the parameters mu, which describes the initial magnetization imbalance, and Delta, which describes the relative strengths of XX+YY and ZZ in the Hamiltonian. Each file contains a dictionary with the following keys (see manuscript for further details): n: Number of qubits mu: Initial magnetization imbalance parameter theta: fSim-gate parameter controlling XX+YY coupling phi: fSim-gate parameter controlling ZZ coupling mean: Mean magnetization transfer as a function of circuit depth d_mean: Uncertainty in mean magnetization transfer moments: n-th central moments for as a function of circuit depth, starting with n=0 d_moments: Uncertainty in central moments skewness: Skewness of distribution of transferred magnetization as a function of circuit depth d_skewness: Uncertainty in skewness as a function of circuit depth kurtosis: Kurtosis of distribution of transferred magnetization as a function of circuit depth d_kurtosis: Uncertainty in kurtosis as a function of circuit depth Z: Expectation value of Z for each initial state, qubit and circuit depth nTrials: Number of different initial states investigated In addition, the file `numerical_simulation_results.zip` contains the results of classical statevector simulations of our experiment, up to cycle 18.

opencc-by-4.0Oct 2024View details →

Data for "Observation of Generalized t-J Spin Dynamics with Tunable Dipolar Interactions"

Calculated dipole parameters, experimental and theoretical data and code needed to reproduce all plots of the paper, and separate csv files with data points of main figures.