Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
21
datasets available to search
ShareScore release 0.9.0
Dataset results
21 results for “nuclear spin”
Data of publication All-optical control of long-lived nuclear spins in rare-earth doped nanoparticles
<p>Data corresponding to the figures of the publication "All-optical control of long-lived nuclear spins in rare-earth doped nanoparticles" by D. Serrano et al. (https://www.nature.com/articles/s41467-018-04509-w). A text file describes data in each compressed folder, please refer to the publication for more details. </p>
Coherent manipulation of nuclear spins in the strong driving regime
<p>Data for <a href="https://iopscience.iop.org/article/10.1088/1367-2630/ad0c0b">manuscript</a> with the same name. Consists of four parts:</p><p>(1) DC characterization: all files having a format corresponding to "20230129*.dat"</p><p>(2) Finite element analysis: all files having a format corresponding to "B_field_*.txt"</p><p>(3) Proton Rabi oscillations: all files having a format corresponding to "20230112*.dat", "20230119*.dat" and "20230120*.dat"</p><p>(4) Spiral transmission: a CSV file</p><p> </p>
Data of the publication: Nuclear spin coherence properties of 151Eu3+ and 153Eu3+ in a Y2O3 transparent ceramic by J. Karlsson et al.
<p>Data corresponding to the figures of the publication "Nuclear spin coherence properties of 151Eu3+ and 153Eu3+ in a Y2O3 transparent ceramic" by J. Karlsson et al., (https://doi.org/10.1088/1361-648X/aa529a). A text file describes data in each compressed folder, please refer to the caption in the publication for more details. </p>
Radiofrequency to Microwave Coherent Manipulation of an Organometallic Electronic Spin Qubit Coupled to a Nuclear Qudit
<p>Dataset containing ASCII files for Figures 2-8 of the paper </p><p>Radiofrequency to Microwave Coherent Manipulation of an Organometallic Electronic Spin Qubit Coupled to a Nuclear Qudit</p><p>Inorg. Chem. 2021, 60, 11273−11286</p>
Supplementary information: The nuclear-spin-forbidden rovibrational transitions of water from first principles
<p><strong>Supplementary material to the manuscript <em>"The nuclear-spin-forbidden rovibrational transitions of water from first principles"</em> by Andrey Yachmenev, Guang Yang, Emil Zak, Sergei Yurchenko, and Jochen Küpper, <em>J. Chem. Phys., submitted. </em></strong><a href="https://arxiv.org/abs/2203.07945"> arXiv:2203.07945</a></p> <p>The data set contains hyperfine (spin-rovibrational) energies and dipole transition spectrum of water molecule (H<sub>2</sub><sup>16</sup>O), calculated using variational approach <a href="https://github.com/Trovemaster/TROVE">TROVE</a> and <a href="https://github.com/CFEL-CMI/richmol">RichMol</a>, and included spin-rotational and spin-spin hyperfine interactions.</p> <p>In addition, the data set includes HDF5-type richmol database file <strong><em>h2o_p48_j40_rovib.h5</em></strong> (see <a href="https://github.com/CFEL-CMI/richmol">https://github.com/CFEL-CMI/richmol</a>) containing rovibrational energies, matrix elements of nuclear spin-rotation, nuclear spin-spin, electric dipole, and electric quadrupole tensor operators of H<sub>2</sub><sup>16</sup>O, calculated using variational approach TROVE.</p> <ul> <li><strong>h2o_exomol_F.states </strong>and<strong> h2o_exomol_F.trans</strong> - hyperfine linelist of water stored in the ExoMol format (see, e.g., <a href="https://doi.org/10.1016/j.jms.2016.05.002">J. Molec. Spectrosc., 327, 73-94 (2016)</a>). The two files contain a set of hyperfine states with assignments and a set of dipole transitions (Einstein A-coefficients), respectively. The states in <strong>h2o_exomol_F.states</strong> file are arranged by quantum number of total angular momentum F = I + J (spin + rotation) in ascending order.</li> <li><strong>h2o_exomol_J.states </strong>and<strong> h2o_exomol_J.trans</strong> - contain same data as <strong>h2o_exomol_F.states </strong>and<strong> h2o_exomol_F.trans</strong> files, except that the states in <strong>h2o_exomol_J.states</strong> file are arranged by rotational quantum number (J) in ascending order.</li> <li><strong>h2o_p48_j40_rovib.h5<em> - </em></strong>Richmol HDF5 database file for H<sub>2</sub><sup>16</sup>O containing rovibrational energies (in cm<sup>-1</sup>), matrix elements of nuclear spin-rotation (in kHz), spin-spin (in kHz), molecular electric dipole moment (in Debye), and molecular electric quadrupole moment (in a.u.) operators. For details on how to read this file, see <a href="https://github.com/CFEL-CMI/richmol">Richmol GitHub repository</a> and <a href="https://richmol.readthedocs.io/en/latest/">Richmol documentation</a> (<em>or contact Andrey Yachmenev at andrey.yachmenev@cfel.de</em>).</li> <li><strong>ortho_para_transitions.txt</strong> - table with strongest predicted ortho-para transitions in H<sub>2</sub><sup>16</sup>O at T = 296 K with the 10<sup>−36</sup> cm/molecule intensity cut-off.<br> <br> <strong><em>An example of hyperfine energies and hyperfine dipole spectrum calculation for water using h2o_p48_j40_rovib.h5 file from this repository may be found in the <a href="https://github.com/CFEL-CMI/richmol">Richmol GitHub repository's</a> examples folder: <a href="https://github.com/CFEL-CMI/richmol/tree/develop/examples/hyperfine">https://github.com/CFEL-CMI/richmol/tree/develop/examples/hyperfine</a></em></strong></li> </ul> <p>Structure of<strong> h2o_exomol_F.states </strong>and<strong> h2o_exomol_J.states </strong>files:</p> <table align="left"> <thead> <tr> <th scope="col">Column No.</th> <th scope="col">Kind </th> <th scope="col">Meaning </th> </tr> </thead> <tbody> <tr> <td>1</td> <td>int</td> <td>state ID number</td> </tr> <tr> <td>2</td> <td>float</td> <td>hyperfine state energy relative to the ZPE, in cm<sup>-1</sup></td> </tr> <tr> <td>3</td> <td>int</td> <td>state degeneracy</td> </tr> <tr> <td>4</td> <td>int</td> <td>value of F quantum number (total spin-rotational angular momentum)</td> </tr> <tr> <td>5</td> <td>str</td> <td>state symmetry in C<sub>2v</sub></td> </tr> <tr> <td>6</td> <td>int</td> <td>value of J quantum number (total rotational angular momentum)</td> </tr> <tr> <td>7</td> <td>str</td> <td>symmetry of state's rotational component in C<sub>2v</sub></td> </tr> <tr> <td>8</td> <td>int</td> <td>value of k<sub>a</sub> quantum number (a-axis projection of rotational angular momentum)</td> </tr> <tr> <td>9</td> <td>int</td> <td>value of k<sub>c</sub> quantum number (c-axis projection of rotational angular momentum)</td> </tr> <tr> <td>10</td> <td>int</td> <td>value of v<sub>1</sub> vibrational quantum number</td> </tr> <tr> <td>11</td> <td>int</td> <td>value of v<sub>2</sub> vibrational quantum number</td> </tr> <tr> <td>12</td> <td>int</td> <td>value of v<sub>3</sub> vibrational quantum number</td> </tr> <tr> <td>13</td> <td>int</td> <td>value of I quantum number (total nuclear spin)</td> </tr> <tr> <td>14</td> <td>float</td> <td>reference rovibrational state energy (i.e., without hyperfine effects) relative to the ZPE, in cm<sup>-1</sup></td> </tr> </tbody> </table> <p>Structure of<strong> h2o_exomol_F.trans </strong>and<strong> h2o_exomol_J.trans </strong>files:</p> <table> <thead> <tr> <th scope="col">Column No.</th> <th scope="col">Kind</th> <th scope="col">Meaning</th> </tr> </thead> <tbody> <tr> <td>1</td> <td>int</td> <td>ID number of final transition state (col. no. 1 in <strong>h2o_exomol_F.states </strong>or<strong> h2o_exomol_J.states </strong>file)</td> </tr> <tr> <td>2</td> <td>int</td> <td>ID number of initial transition state (col. no. 1 in <strong>h2o_exomol_F.states </strong>or<strong> h2o_exomol_J.states </strong>file)</td> </tr> <tr> <td>3</td> <td>float</td> <td>Einstein A-coefficient, in s<sup>-1</sup></td> </tr> <tr> <td>4</td> <td>float</td> <td>Transition wavenumber, in cm<sup>-1</sup></td> </tr> </tbody> </table> <p> </p>
Design Principles for the Development of Gd(III) Polarizing Agents for Magic Angle Spinning Dynamic Nuclear Polarization
<p>This is the raw dataset for publication </p> <p>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.</p> <p>For details, please refer to the readme file.</p>
Data for "Magic Angle Spinning Solid-State 13C Photochemically Induced Dynamic Nuclear Polarization by a Synthetic Donor–Chromophore–Acceptor System at 9.4 T"
<p>NMR data and photo-CIDNP-enhanced NMR data for "Magic Angle Spinning Solid-State 13C Photochemically Induced Dynamic Nuclear Polarization by a Synthetic Donor–Chromophore–Acceptor System at 9.4 T".</p> <p>All data but those relative to the spectra in Figure S13 are provided in Bruker format. For the low field experiments (Figure S13), raw free induction decay NMR data are provided, together with a processing script written in Wolfram Mathematica.</p>
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>
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>
Creation and manipulation of Schrödinger cat states of a nuclear spin qudit in silicon
<p>High-dimensional quantum systems are a valuable resource for quantum information processing. They can be used to encode error-correctable logical qubits, for instance in continuous-variable states of oscillators such as microwave cavities or the motional modes of trapped ions. Powerful encodings include 'Schrödinger cat' states, and superpositions of widely displaced coherent states, which also embody the challenge of quantum effects at the large scale. Alternatively, recent proposals suggest encoding logical qubits in high-spin atomic nuclei, which can host hardware-efficient versions of continuous-variable codes on a finite-dimensional system. Here we demonstrate the creation and manipulation of Schrödinger cat states using the spin-7/2 nucleus of a single antimony (<sup>123</sup>Sb) atom, embedded and operated within a silicon nanoelectronic device. We use a coherent multi-frequency control scheme to produce spin rotations that preserve the SU(2) symmetry of the qudit, and constitute logical Pauli operations for logical qubits encoded in the Schrödinger cat states. The Wigner function of the cat states exhibits parity oscillations with a contrast up to 0.982(5), and state fidelities up to 0.913(2). These results demonstrate high-fidelity preparation of nonclassical resource states and logical control in a single atomic-scale object, opening up applications in quantum information processing and quantum error correction within a scalable, manufacturable semiconductor platform.</p>
Data from: Certifying the quantumness of a nuclear spin qudit through its uniform precession
Open the record for dataset details and reuse information.
Schrödinger cat states of a nuclear spin qudit in silicon
Open the record for dataset details and reuse information.
Scalable entanglement of nuclear spins mediated by electron exchange
Open the record for dataset details and reuse information.
Figure files and simulation code for The formation of a nuclear-spin dark state in silicon
<p>This repository contains MATLAB figure files and simulation code for The formation of a nuclear-spin dark state in silicon. It includes a Readme file that provides a brief description of each file's contents.</p>
High cooperativity coupling to nuclear spins on a circuit QED architecture - Open Access Data SAet
<p>Open data set supporting figures of the related publication.</p>
Dataset for "Entanglement and control of single nuclear spins in isotopically engineered silicon carbide"
<p>Accompanying data for the main text of <em>Entanglement and control of single nuclear spins in isotopically engineered silicon carbide</em></p>
Efficient quantum gates for individual nuclear spin qubits by indirect control
<p>Hybrid quantum registers, such as electron-nuclear spin systems, have emerged as promising hard-<br> ware for implementing quantum information and computing protocols in scalable systems. Neverthe-<br> less, the coherent control of such systems still faces challenges. Particularly, the lower gyromagnetic<br> ratios of the nuclear spins cause them to respond slowly to control fields, resulting in gate times<br> that are generally longer than the coherence time of the electron. Here, we demonstrate a scheme<br> for circumventing this problem by indirect control: We apply a small number of short pulses only<br> to the electron and let the full system undergo free evolution under the hyperfine coupling between<br> the pulses. Using this scheme, we realize robust quantum gates in an electron-nuclear spin system,<br> including a Hadamard gate on the nuclear spin and a controlled-NOT gate with the nuclear spin<br> as the target qubit. The durations of these gates are shorter than the electron coherence time, and<br> thus additional operations to extend the system coherence time are not needed. Our demonstration<br> serves as a proof of concept for achieving efficient coherent control of electron-nuclear spin systems,<br> such as NV centers in diamond. Our scheme is still applicable when the nuclear spins are only<br> weakly coupled to the electron.</p>
IN-CELL QUANTIFICATION OF DRUGS BY MAGIC ANGLE SPINNING DYNAMIC NUCLEAR POLARIZATION NMR
<p>Raw data</p>
Quantification of Magic Angle Spinning Dynamic Nuclear Polarization NMR Spectra
<p>NMR datasets of experiments used in the paper</p>
Dynamic Nuclear Polarization Pulse Sequence Engineering using Single-Spin Vector Effective Hamiltonians
<p>The repository contains background data for the paper "Dynamic Nuclear Polarization Pulse Sequence Engineering using Single-Spin Vector Effective Hamiltonians". This includeds files for experimental data, and plotting of these (Exp_data folder) and compiled code and input files for evaluation and non-linear optimization of pulse sequences (Non_linear_optimization_compiled_code folder).</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.