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67 results for “dipole”
Internal mixing of rotating stars inferred from dipole gravity modes
<p>MESA and GYRE inlists, opacity tables, and supplementary material for the paper "Internal mixing of rotating stars inferred from dipole gravity modes" by Pedersen et al. (2021), Nature Astronomy, Volume 5, p. 715-722, DOI:<a href="https://ui.adsabs.harvard.edu/link_gateway/2021NatAs...5..715P/doi:10.1038/s41550-021-01351-x">10.1038/s41550-021-01351-x</a></p>
Prevention of Inappropriate Therapies and MACCE With a Single Chamber ICD With DX Floating Dipole Atrial Detection
ClinicalTrials.gov study NCT04344704. IPD Sharing: Not stated. Countries: 1. Publications: 25.
Experimental Data for Emergent Helical Texture of Electric Dipoles
<p>BiCu0.1Mn6.9O12_NPD.zip contains TOF neutron powder diffraction patterns collected in the temperature range of 100K-600K</p> <p>BiCu0.1Mn6.9O12_XRPD_T300K.txt is room temperature X-ray synchrotron powder diffraction pattern</p> <p>BiCu0.05Mn6.95O12-105.51mg-exp-Dec-06-2016-DSC.prn contains differential scanning calorimetry data</p> <p>BiCu0.1Mn6.9O12-109.89mg-exp-Nov-08-2016-DSC.prn contains differential scanning calorimetry data</p> <p> BiCu0.1Mn6.9O12_PE_loop_data_T77K.dat is P-E loop data</p>
Dataset for "Linear theory analysis and one-dimensional hybrid simulations of high-frequency EMIC waves in a dipole magnetic field"
<p>Processed dataset to produce the figures in the manuscript</p>
Datasets of GRMHD Simulations of Accreting Neutron Stars with Non-Dipole Fields
<p>Datasets for GRMHD Simulations of Accreting Neutron Stars with Non-Dipole Fields</p>
Data for "Spatial scales of rising-tone chorus in a dipole magnetic field: two-dimensional particle-in-cell simulation"
<p>The GCPIC simulation output data and the corresponding data analysis code.</p>
Dataset for the Manuscript "Tropical Precipitation and Marine Eco-System Response to Early Indian Ocean Dipole under Global Warming"
Open the record for dataset details and reuse information.
TS42 TD-DFT Dipole Polarizabilities as a function of imaginary frequency
<p><strong>How the data was generated</strong></p> <p>The list of molecules was taken from the paper <a href="https://doi.org/10.1103/PhysRevLett.102.073005">Accurate Molecular Van Der Waals Interactions from Ground-State Electron Density and Free-Atom Reference Data</a>, Alexandre Tkatchenko and Matthias Scheffler, Phys. Rev. Lett. 102, 073005 (2009).</p> <p>Initial molecular geometries were obtained from the <a href="https://cccbdb.nist.gov">CCCBDB</a> database. Various electronic structure calculations were performed on these molecular geometries.</p> <p>Computational details can be found in the software section below and in the paper <a href="https://doi.org/10.1063/5.0115151">A new framework for frequency-dependent polarizable force fields</a>, YingXing Cheng and Toon Verstraelen, J. Chem. Phys. 157, 124106 (2022)</p> <p><strong>Software that was used</strong></p> <p>The optimized structures were initially published as supporting information in <a href="https://doi.org/10.1063/5.0115151">A new framework for frequency-dependent polarizable force fields</a>. For this work, the molecular structures were optimized using DFT at <code>B3LYP/aug-cc-pVDZ</code> level with <a href="https://gaussian.com/">GAUSSIAN16</a>.</p> <p>The MBIS partitioning was done with <a href="https://theochem.github.io/horton/2.1.1/index.html">Horton 2.1.1</a> and the distributed response calculations were done with the <a href="https://github.com/yingxingcheng/LRC-CD/tree/for_acks2w_paper"><code>for_acks2w_paper</code></a> branch of the <code>LRC-CD</code> python package. <strong>Note</strong>: The LRC-CD package is still a private repository, but it is available upon proper request.</p> <p>The TD-DFT reference data are calculated with <a href="https://daltonprogram.org/">Dalton 2020</a>.</p> <p><strong>Directory and file organization</strong></p> <ul> <li><code>README.md</code>: This file.</li> <li><code>structures/*.xyz</code>: the molecular structures optimized at the <code>B3LYP/aug-cc-pVDZ</code> level of theory.</li> <li><code>aDZ_lda_0.json</code>: the ACKS2ω polarizability for ℓ<sub>max</sub>=0.</li> <li><code>aDZ_lda_1.json</code>: the ACKS2ω polarizability for ℓ<sub>max</sub>=1.</li> <li><code>aDZ_lda_2.json</code>: the ACKS2ω polarizability for ℓ<sub>max</sub>=2.</li> <li><code>aDZ_lda_3.json</code>: the ACKS2ω polarizability for ℓ<sub>max</sub>=3.</li> <li><code>aDZ_lda_4.json</code>: the ACKS2ω polarizability for ℓ<sub>max</sub>=4.</li> <li><code>aDZ_lda_tddft.json</code>: the reference results calculated using TD-DFT.</li> <li><code>aDZ_lda_1_00.json</code>: the charge-flow contribution to the ACKS2ω polarizability.</li> <li><code>aDZ_lda_1_11.json</code>: the dipole-dipole contribution to the ACKS2ω polarizability data with the dipole-dipole contribution.</li> <li><code>aDZ_lda_1_01.json</code>: the charge-dipole contribution to the ACKS2ω polarizability data with the charge-dipole contribution.</li> <li><code>aDZ_lda_1_10.json</code>: the dipole-charge contribution to the ACKS2ω polarizability data with the dipole-charge contribution.</li> </ul> <p><strong>Note</strong>: The results in <code>aDZ_lda_1_01.json</code> and <code>aDZ_lda_1_10.json</code> can be added to obtain the complete charge + dipole contribution to the polarizability.</p> <p><strong>File content details</strong></p> <p>Each JSON file corresponds to a specific multipole contributions, as explained above. The JSON files contains a hierarchical set of <em>dictionaries</em> (or <em>objects</em>), structured as follows:</p> <ol> <li>Top level = the molecule name</li> <li>For each molecule, data is grouped by (imaginary) frequency.</li> <li>For each molecule and frequency, a <em>list</em> (or <em>array</em>) of 9 elements represent components of the dipole polarizability tensor in the order α<sub>xx</sub>, α<sub>xy</sub>, α<sub>xz</sub>, α<sub>yx</sub>, α<sub>yy</sub>, α<sub>yz</sub>, α<sub>zx</sub>, α<sub>zy</sub>, α<sub>zz</sub>.</li> </ol>
Predictability of European winter 2019/20: Indian Ocean dipole impacts on the NAO
<p>Data and code to reproduce the figures in Atmospheric Science Letters publication "Predictability of European winter 2019/20: Indian Ocean dipole impacts on the NAO". Please cite the published ASL article if you use this dataset.</p>
Codes for "From megahertz to terahertz qubits encoded in molecular ions: theoretical analysis of dipole-forbidden spectroscopic transitions in N2+"
<p>In folder "CreateBasisSet" are functions for diagonalizing the molecular Hamiltonian. Use "create_vec_v3.m". Adjust the size of the basis set inside the code.</p> <p>A complied coefficient matrix that was used in the paper is given: "BasisSet_v4_B70G0p2G_v01_N024_I02_E2_M1aS_M1S_v7p3.mat". This matrix can be used to plot all graphs that appear in the paper. </p> <p>The plotting scripts are also given: "Plots... .m"</p> <p>The script "Table_magic_v4.m" is used to find "magic" transitions.</p>
Direct production of fermionic superfluids in a cavity-enhanced optical dipole trap
<p>Data corresponding to the article "Direct production of fermionic superfluids in a cavity-enhanced optical dipole trap".</p>
Efficacy of 128-channel EEG Combined With BESA Dipole Localization and Intervention on Brain Waves for Epilepsy
ClinicalTrials.gov study NCT02613234. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Dipole Density Right Atrial Mapping and Assessment of Therapy In Cavotricuspid Isthmus Flutter
ClinicalTrials.gov study NCT01872052. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Dipole Density Mapping of Typical Atrial Flutter
ClinicalTrials.gov study NCT01914497. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Forward Matrices and BEM Solution for Dipole Simulator
<p>Data files for our interactive <a href="https://github.com/hoechenberger/dipoles_demo">dipole similator</a>.</p>
Dataset for paper "Two-dimensional particle-in-cell simulations of magnetosonic waves in the dipole magnetic field: On a constant L-shell"
<p>* Reduced datasets for figures in the manuscript.</p> <p>* Code for producing the simulation data.</p>
LBM data for "The linkage between the Antarctic oscillation and the subsequent temperature dipole mode over the Tibetan Plateau"
<p>The linear baroclinic model data by using the tropical North Atlantic temperature tendency forcing.</p>
Dipole Density Mapping of Right and Left Atrial Supraventricular Tachycardia
ClinicalTrials.gov study NCT01914575. IPD Sharing: NO. Countries: 1. Publications: 0.
PSP FIELDS Digital Fields Board (DFB) DC-coupled Differential Voltage Waveform, Dipole Mode, Level 2 (L2), 3.413 ms Data
PSP FIELDS Digital Fields Board, DFB, Differential Voltage data:The DFB is the low frequency, less than 75 kHz, component of the FIELDS experiment on the Parker Solar Probe spacecraft, see reference [1] below. For a full description of the FIELDS experiment, see reference [2]. For a description of the DFB, see reference [3].The DFB continuous waveform data consist of time series data from various FIELDS sensors. These data have been filtered by both analog and digital filters [3].The Level 2 data products contained in this data file have been calibrated for:* 1) DFB in-band gain* 2) DFB analog filter gain and phase response* 3) DFB digital filter phase response* 4) The search coil preamplifier gain and phase response, when applicableCalibrations for the DFB digital filter gain response have not been implemented, but the required convolution kernel is provided in this file. It was decided not to apply the digital filter gain response calibration to these Level 2 data because the application of the calibrations can introduce non-physical power at high frequencies when the non-corrected signal is dominated by noise. This effect should be examined carefully when determining spectral slopes and features at the highest frequencies. Calibrations for the FIELDS voltage sensor preamplifiers have not been implemented as the preamplifier response is flat and equal to one throughout the DFB frequency range. Corrections for plasma sheath impedance gain and antenna effective length have not been applied to the voltage sensor data. These corrections will be applied in the Level 3 DFB data products. Therefore, all voltage sensor quantities when present in these Level 2 data products are expressed by using units of Volts. Likewise, all magnetic field quantities when present in these Level 2 data products are expressed by using units of nanoTelsas.The Level 2 data products contained in this data file are in spacecraft coordinates (e.g. x,y,z) or in sensor coordinates (e.g. dV12, dV34 for voltage measurements and [u,v,w] for the searchcoil magnetometer.The time resolution of the DFB continuous waveform data can vary by multiples of 2^N. During encounter when PSP is within 0.25 AU of the Sun, the DFB continuous waveform data cadence is typically 256 samples/NYsecond [2].References:* 1) Fox, N.J., Velli, M.C., Bale, S.D. et al., Space Sci Rev (2016) 204:7. https://doi.org/10.1007/s1121401502116* 2) Bale, S.D., Goetz, K., Harvey, P.R. et al., Space Sci Rev (2016) 204:49. https://doi.org/10.1007/s1121401602445* 3) Malaspina, D.M., Ergun, R.E., Bolton, M. et al., JGR Space Physics (2016), 121, 5088-5096. https://doi.org/10.1002/2016JA022344
PSP FIELDS Digital Fields Board (DFB) AC-coupled Differential Voltage, V1-V2, V3-V4 Antennae, Dipole Mode, Cross Spectra, High Gain, Sensor coordinates, Level 2 (L2), 0.873813 s Data
PSP FIELDS Digital Fields Board (DFB), XXX ⨯ YYY cross spectra data:The DFB is the low frequency, less than 75 kHz, component of the FIELDS experiment on the Parker Solar Probe spacecraft, see reference [1] below. For a full description of the FIELDS experiment, see reference [2]. For a description of the DFB, see reference [3].DFB AC cross spectra data for a pair of input channels consist of:* 1) Power spectral densities (auto spectra, e.g. FT₁ ⨯ FT₁*)* 2) Real and imaginary parts of the spectral cross term (FT₁ ⨯ FT₂*)* 3) Coherence* 4) Phasewhere all as a function of frequency and time. The last two terms are describedcoherence and phase are defined in [3].These cross spectra are averaged in both frequency and time as described in [3]. The cross spectra have either 56 or 96 bins (selectable) with the bin central frequencies reported in the metadata. The AC cross spectra are duty-cycled such that spectral averaging takes place over the first 1/8 of any given NYs (assuming a 1 NYs data cadence). Less data are averaged by 2^N for cadences faster than 1 NYs by 2^N. For cadences slower than 1 NYs, the first 1/8 of each NYs of data included are averaged together to form the reported data.The Level 2 data products contained in this data file have been calibrated for:* 1) The Hanning window used in the spectral calculation* 2) DFB in-band gain* 3) DFB analog filter gain response* 4) DFB digital filter gain response* 5) The search coil preamplifier response, when applicable* 6) The bandwidth of each spectral binNote that compensation for the DFB digital filters will introduce a non-physical positively sloped power trend at high frequencies when the non-corrected signal is dominated by noise. This effect should be examined carefully when determining spectral slopes and features at the highest frequencies. Calibrations for the FIELDS preamplifiers have not been implemented as the preamplifier response is flat and equal to one through the DFB frequency range. Corrections for plasma sheath impedance gain and antenna effective length have not been applied to voltage sensor signals. These corrections will be applied in the Level 3 DFB data products. Therefore, all voltage sensor quantities when present in these Level 2 data products are expressed by using units of Volts squared per Hertz. Likewise, all magnetic field quantities when present in these Level 2 data product are expressed by using units of nanoTesla squared per Hertz. The units for phase are degrees.The Level 2 voltage data products contained in this data file are expressed in sensor coordinates: e.g. dV12, dV34 for voltage measurements. For solar orbits 1 and 2, the search coil magnetometer cross spectra data are rotated into a non-intuitive coordinate system with components [d,e,f]. For solar orbits 3 and beyond, the magnetic field cross spectra data are expressed by using search coil magnetometer sensor coordinates with components [u,v,w].To rotate from [d,e,f] coordinates to [u,v,w] search coil sensor coordinates, use the following matrix, written in IDL notation, and the following equation: spectra_uvw_vector = R ## spectra_def_vector.R = [[ 0.46834856, -0.81336422 , 0.34509170] [ -0.66921924, -0.071546954, 0.73961249] [ -0.57688408, -0.57733845 , -0.57782790]]For some orbits, sufficient spectral information exists in the auto spectra and cross spectra to determine wave ellipticity, planarity, and wave normal angles. One method for accomplishing this is presented in reference [4].Time resolution of the DFB AC cross spectral data can vary by multiples of 2^N. During encounter (when PSP is within 0.25 AU of the Sun), cadence for the DFB AC cross spectra is typically 1 NYsecond [2]. Timestamps correspond to the center time of each window.References:* 1) Fox, N.J., Velli, M.C., Bale, S.D. et al., Space Sci Rev (2016) 204:7. https://doi.org/10.1007/s1121401502116* 2) Bale, S.D., Goetz, K., Harvey, P.R. et al., Space Sci Rev (2016) 204:49. https://doi.org/10.1007/s1121401602445* 3) Malaspina, D.M., Ergun, R.E., Bolton, M. et al., JGR Space Physics (2016), 121, 5088-5096. https://doi.org/10.1002/2016JA022344* 4) Santolik, O., Parrot, M., Lefeuvre, F. Radio Science (2003), 38, 1010. https://doi.org/10.1029/2000RS002523
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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.
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.