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Dataset results
639 results for “spin”
Chemically induced deceleration of nuclear spin relaxation (CIDER) preserves hyperpolarization
<p>This data corresponds to the following paper:</p> <p>Title: Chemically induced deceleration of nuclear spin relaxation (CIDER) preserves hyperpolarization<br>Journal: Angwandte Chemie<br>Authors: Josh P. Peters, Charbel Assaf, Arne Brahms, Kolja Them, Mirco Gerdsen, Rainer Herges, Jan-Bernd Hövener, Andrey N. Pravdivtsev</p> <p>The data is organized with respect to the subfigures in figure 2 and figure 3 as a whole. Data not shown in figures is placed in Supplement.<br>An overview about the experiments is given in "Experiment overview.xlsx", while the extracted data for each figure is summarized in "Analyzed data.xlsx"<br>A description of acquisition parameters is provided in the "Acquisition parameters.xlsx" file for each dataset.</p>
Research Data - Magnetic Field Controlled Surface Localization of Spin-Wave Ferromagnetic Resonance Modes in 3D Nanostructures
<p>Source data from micromagnetic simulations performed in COMSOL Multiphysics software and Python codes for data post-processing utilized in the paper "Magnetic Field Controlled Surface Localization of Spin-Wave Ferromagnetic Resonance Modes in 3D Nanostructures."</p> <p>The files from Comsol (.mph) are without simulation solutions due to their large size - please contact me if needed.</p>
Data set for "Chiral Magnonic Crystals: Unconventional Spin-Wave Phenomena Induced by a Periodic Dzyaloshinskii-Moriya Interaction"
<p>Scripts for the micromagnetic simulations of the publication "Chiral Magnonic Crystals: Unconventional Spin-Wave Phenomena Induced by a Periodic Dzyaloshinskii-Moriya Interaction", using the OOMMF software. These codes reproduce the result of magnonic waveguides with periodic Dzyaloshinskii-Moriya interactions. A Dockerfile and a Makefile are included for the reproducibility of the results.</p> <p>The repository containing these results, together with a explanatory README document can be found in:</p> <p>https://github.com/davidcortesortuno/paper-2018-chiral_magnonic_crystals</p> <p> </p> <p>The files included in this Zenodo release refer to the v1.0 version of the data set. For an updated version of the scripts refer to the Github repository.</p>
A general framework for optimizing arterial spin labeling MRI experiments
<p>This repository contains the simulation data, preprocessed in vivo data, and analysis code used in the Magnetic Resonance in Medicine article titled "A general framework for optimizing arterial spin labeling MRI experiments" (<a href="https://doi.org/10.1002/mrm.27580">https://doi.org/10.1002/mrm.27580</a>). Please cite this article if you use this code or data in your work.</p>
The spin of the second-born black hole in coalescing binary black holes
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/#abs/2018A&A...616A..28Q/abstract">The spin of the second-born black hole in coalescing binary black holes</a></p>
Dataset for "Electrical and optical control of single spins integrated in scalable semiconductor devices"
<p>Accompanying data for the main text and supplemental materials of <em>Electrical and optical control of single spins integrated in scalable semiconductor devices</em></p>
Data for "Luther-Emery liquid and dominant singlet superconductivity in the hole-doped Haldane spin-1 chain"
<p>This archive contains the data presented in the paper "Luther-Emery liquid and dominant singlet superconductivity in the hole-doped Haldane spin-1 chain", Phys. Rev. B <strong>110</strong>, 064515 (2024), <a href="https://doi.org/10.1103/PhysRevB.110.064515">https://doi.org/10.1103/PhysRevB.110.064515</a>, with preprint arXiv:2311.13440, <a href="https://doi.org/10.48550/arXiv.2311.13440">https://doi.org/10.48550/arXiv.2311.13440</a></p>
Dataset for Low temperature electron spin resonance study of an MnPS3 antiferromagnetic single crystal
<p>This is a dataset for a paper "Low temperature electron spin resonance study of an MnPS3 antiferromagnetic single crystal". All details about the data are included in the readme file.</p>
Dataset for ''Tuning the proximity induced spin - orbit coupling in bilayer graphene/WSe2 heterostructures with pressure''
<p>This is the measurement dataset for the article ''Tuning the proximity induced spin - orbit coupling in bilayer graphene/WSe2 heterostructures with pressure''. The .py file is also included which is used for the modelling.</p>
Spin density studies of tetrahedral Cu(II) ions doped into porous zeolitic imidazolate frameworks
<p><strong>Description of the dataset:</strong></p> <ul> <li><strong>Data type</strong>: Experimental spectroscopic measurements</li> <li>Files are with filename extensions: <strong>spc, par, dsc, dta, out, and oof</strong></li> <li>Information on <strong>origin of the data</strong>:</li> <li>The X-band continuous wave (CW) EPR spectroscopic measurements were generated by EMX spectrometer equipped with ER 4119 HS Resonator. The raw data extensions: spc and par.</li> <li>The Q-band pulsed EPR experiments (Davies and Mims ENDOR) were conducted using a Bruker Elexsys E580 spectrometer with a SuperQ-FT microwave bridge. The raw data extensions: dsc and dta.</li> <li>Periodic geometry optimizations were carried out by using the replicated data-parallel version of CRYSTAL17 code within the framework of Density Functional Theory (DFT) exploiting the hybrid B3LYP method. Molecular cluster calculations were carried out with ORCA (v5.0.2) code.</li> </ul> <ul> <li><strong>Folders are classified based on the type of measurement conducted.</strong></li> </ul> <ul> <li><strong>Additional Information </strong>: <ul> <li>specialized abbreviations: <strong>EPR</strong> – Electron Paramagnetic Resonance, <strong>ZIF</strong> – Zeolitic imidazolate frameworks, <strong>HYSCORE</strong>- Hyperfine sublevel correlation, <strong>ENDOR </strong>- Electron nuclear double resonance, <strong>EDFS </strong>- Echo-detected field sweep, <strong>ESEEM- </strong>electron spin echo envelope modulation, <strong>Act - </strong>activated.</li> <li>definitions of variables: <strong>magnetic field, pulse sequence, microwave power.</strong></li> <li>units of measurement: <strong>Gauss (G), milliTesla (mT), nanosecond(ns), microwave power (dB), Kelvin (K), Cu dopant percentage (%)</strong>.</li> <li>abbreviations on the data filename for pulsed EPR results: Dates, sample name, sample state, type of experiments (including the pulse delay tau or d1), temperature, number of scan, baseline correction if indicated.</li> </ul> </li> </ul>
Particle-hole asymmetric ferromagnetism and spin textures in the triangular Hubbard-Hofstadter model
<p>Aggregated numerical data and analysis routines required to reproduce the figures in "Particle-hole asymmetric ferromagnetism and spin textures in the triangular Hubbard-Hofstadter model"</p>
Identifying routes for transferring spin polarization from parahydrogen to protic solvents
<p>NMR data and MATLAB codes supporting the publication '<strong>Identifying routes for transferring spin polarization from parahydrogen to protic solvents'</strong>. The NMR_data file enables to reconstruct the PTF profiles, the solvent lifetime calculations, and the molar polarization values for each solution. The SABRE_2D data file contains the 2D-OPSY-COSY sequence for elucidation of the catalyst structure 2a-d. The Codes folder contains the MATLAB codes for construction of the PTF profiles and the solvent lifetime plots. The PDF file contains the specific details on which data is used for which figure. </p> <p> </p> <p> </p>
Dataset for Scaling Whole-Chip QAOA for Higher-Order Ising Spin Glass Models on Heavy-Hex Graphs
<p>Dataset for the paper titled Scaling Whole-Chip QAOA for Higher-Order Ising Spin Glass Models on Heavy-Hex Graphs</p> <p>Pre-print located at https://arxiv.org/abs/2312.00997</p> <p>See README.md for complete data description</p> <p>LA-UR-24-31392</p>
Rawdata for publication: An Efficient and Stable Polarizing Agent for In-Cell Magic-Angle Spinning Dynamic Nuclear Polarization NMR Spectroscopy
<p>This is the raw dataset for the publication: An Efficient and Stable Polarizing Agent for In-Cell Magic-Angle Spinning Dynamic Nuclear Polarization NMR Spectroscopy. It contains the EPR and NMR data used in this publication. DOI of this pubcliation: 10.1021/acs.jpclett.4c02709</p>
Coherent Electric Field Manipulation of Fe3+-spins in PbTiO3. Open data set
<p>Data supporting figures 3 and 4 of the related publication.</p>
Quantum coherent spin-electric control in a molecular nanomagnet at clock transitions. Open data set
<p>Data supporting the related publication.</p>
Spectroscopic data and DFT coordinates for "The three-spin intermediate at the O–O cleavage and proton pumping junction in heme–Cu oxidases"
<p>This dataset includes spectroscopic data and atomic coordinates of DFT structures in the manuscript titled "The three-spin intermediate at the O–O cleavage and proton pumping junction in heme–Cu oxidases". Spectroscopic data included are from magnetic circular dichroism (MCD), variable-temperature variable-field MCD, absorption and resonance Raman spectroscopies.</p>
Supporting data for "Spin-valley coupling in single-electron bilayer graphene quantum dots"
<p>Supporting data and analysis scripts for all figures in the article "Spin-valley coupling in single-electron bilayer graphene quantum dots", preprint: https://arxiv.org/abs/2103.04825</p> <p>The files are sorted according to the figures/panels in the publication with a "0-README.txt" file including further information. </p> <p>The following versions of Pyhton and the packages have been used:<br> python: 3.6.10<br> numpy: 1.18.1<br> matplotlib: 3.1.3<br> scipy: 1.4.1</p>
The influence of the statistical significance of results and spin on readers' interpretation of the results in an abstract for a hypothetical clinical trial: A randomized trial
<p><strong>Objectives</strong>: To assess the impact on readers' interpretation of the results reported in an abstract for a hypothetical clinical trial with 1) a statistically significant result, 2) spin, 3) both a statistically significant result and spin compared to 4) no spin and no statistically significant result.</p> <p><strong>Participants</strong>: Health students and professionals from universities and health institutions in France and the UK.</p> <p><strong>Interventions</strong>: Participants completed an online questionnaire using Likert scales and free text, after reading one of the four versions of an abstract about a hypothetical randomized trial evaluating "Naranex" and "Bulofil" (two hypothetical drugs) for chronic low back pain. The abstracts differed in a) reported result of "mean difference of 1.31 points (95%CI 0.08 to 2.54; p= 0.04)" or "mean difference of 1.31 points (95%CI -0.08 to 2.70; p= 0.06)" and b) presence or absence of spin. The effect size for the trial's primary outcome (pain disability score) was the same in each abstract; slightly in favour of Naranex.</p> <p><strong>Primary outcome</strong>: The reader's interpretation of the trial's results, based on their answer (1: disagree, 4: neutral, 7: agree) to the following statement: "About the main findings of the study, what is your opinion about the following statement: 'Naranex is better than Bulofil'?"</p> <p><strong>Results</strong>: 297 of the 404 people randomized to receive one of the four abstracts completed the study. Respondents were more likely to favour Narenex when the abstract reported a statistically significant result without spin; a statistically significant result with spin, a non-statistically significant result with spin, compared to when it reported a non-statistically significant result without spin.</p> <p><strong>Conclusions</strong>: Statistical significance appears to have influenced readers' perception whatever the level of spin, while spin influenced readers' perception when the results were not statistically significant but did not appear to have an impact when results were statistically significant</p>
Data Release for "The curious case of GW200129: interplay between spin-precession inference and data-quality issues"
<p>Data Release associated with <a href="https://arxiv.org/abs/2206.11932">The curious case of GW200129: interplay between spin-precession inference and data-quality issues Data Release</a>. We release frame files and result file for selected parameter estimation runs in the paper.</p> <p> </p> <p>Each directory contains .json bilby result files for the PE run described by that directory. The specific channel names and frame files that we used in the PE runs are listed below. The frames for the PE runs with BayesWave glitch subtraction are included in this release and are in BW_frames/frame_{glitch label}.</p> <p> </p> <p>L1 data with glitch subtraction:</p> <p>Channel: L1:DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01_P1800169_v4</p> <p>Link: https://zenodo.org/record/5546680/files/L-L1_HOFT_CLEAN_SUB60HZ_C01_P1800169_v4-1264314068-4096.gwf</p> <p> </p> <p>L1 data, no mitigation:</p> <p>Channel: H1:DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01 (L1:GWOSC-16KHZ_R1_STRAIN)</p> <p>Link: https://www.gw-openscience.org/archive/data/O3b_16KHZ_R1/1263534080/L-L1_GWOSC_O3b_16KHZ_R1-1264312320-4096.gwf</p> <p> </p> <p>H1 data, no mitigation:</p> <p>Channel: H1:DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01 (H1:GWOSC-16KHZ_R1_STRAIN)</p> <p>Link: https://www.gw-openscience.org/archive/data/O3b_16KHZ_R1/1263534080HL-H1_GWOSC_O3b_16KHZ_R1-1264312320-4096.gwf</p> <p> </p> <p>Channels for runs with BayesWave glitch-subtracted frames--</p> <p>(Note you need to read in the correct gwf file to access each channel; for example the channel for BayesWave glitch A should be accessed after reading in the gwf file in `BW_frames/frame_A/`)</p> <p>BayesWave glitch A (applies only to L1): DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01_BW_DEGLITCHED_30000</p> <p>BayesWave glitch B (applies only to L1): DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01_BW_DEGLITCHED_28395</p> <p>BayesWave glitch C (applies only to L1): DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01_BW_DEGLITCHED_32752</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.