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2,208 results for “coupling”
Enhanced Molecular Spin-Photon Coupling at Superconducting Nanoconstrictions. Open data sets
<p>Includes data relevant for publication with DOI <a href="https://doi.org/10.1021/acsnano.0c03167">10.1021/acsnano.0c03167</a> plus a table with information on how the data were obtained and processed.</p>
Data for GRL "Tropical Stratospheric Circulation and Ozone Coupled to Pacific Multi-Decadal Variability" paper
<p>Data of the CESM-WACCM sensitivity simulations. These simulations follow the REFC1 configuration from the Chemistry-Climate Model Initiative (CCMI), but for: fixed long-lived halogenated substances at year 1955 (REFC1-fODS); fixed long-lived halogens and nitrogen oxide emissions at year 1955 (REFC1-fODS-N2O); fixed stratospheric aerosol averaged over 1998–1999 (REFC1-fSAD); climatological sea surface temperatures (SSTs) and sea-ice concentrations (SICs) for the 1960–2010 period (REFC1-fSST); climatological SSTs and SICs for the 1960–2010 period, including a 28-months cyclical QBO (REFC1-fSST-QBO).</p>
GFDL CM2.1 Partially-Coupled Simulations Data for "Understanding Lead Times of Warm-Water-Volumes to ENSO Sea Surface Temperature Anomalies"
<p>GFDL CM2.1 partially-coupled idealized simulations:</p> <p>Two sets of idealized experiments with prescribed EP and CP ENSO SST anomaly patterns. Each set of experiments has a prescribed idealized sinusoidal ENSO oscillation with periodicities of 48, 36, and 24 months, respectively.</p> <p>For the details please refer to our paper;<br> Zhao, S., Jin, F.-F., & Stuecker, M. F. (2021). Understanding Lead Times of Warm Water Volumes to ENSO Sea Surface Temperature Anomalies. <em>Geophysical Research Letters</em>, <em>48</em>(19), e2021GL094366. <a href="https://doi.org/10.1029/2021GL094366">https://doi.org/10.1029/2021GL094366</a></p> <p> </p> <p> </p> <p> </p>
A QUESTIONNAIRE FOR THE ASSESSMENT OF VIOLENT BEHAVIORS IN YOUNG COUPLES: THE ITALIAN VERSION OF DATING VIOLENCE QUESTIONNAIRE (DVQ)
<p> In the last years, intimate partner violence (IPV) became a relevant problem for community and for social life, particularly in young people. Its correct assessment and evaluation in the population is mandatory. Our objectives were: Confirm factor structure of Dating Violence Questionnaire (DVQ) and investigate its convergent and divergent validity. The DVQ along with other personality measures were filled by a sample of 418 university students (Females = 310) of average age of 23 y.o. (SD = 4.71). A subsample of participants (223 students) consented in being involved also in retest and filled also the Revised Eysenck Personality Questionnaire (short form) and a brief scale for describing the behavior of the (past) partner after the breaking of the relationship (BRS). The 8-factor structure, with respect to the two other competing models, reported better fit indexes and showed significant correlations with other personality measures. Personality traits, both Neuroticism and Psychoticism, correlated with Sexual Violence, while Detachment correlated only with Neuroticism and Coercion, Humiliation and Physical Violence correlated with only Psychoticism. Extraversion did not report significant relationships with any of the 8 DVQ factors. Also the predictive validity of DVQ was satisfactory with the partner violent reaction to the break of relationship predicted positively predicted by Coercion (b = 0.22) and by Humiliation (b = 0.20) and negatively by Emotional Punishment (b = -0.18). The present results indicate a good factor structure of the questionnaire, and interesting correlations with personality traits, allowing to identify psychological aspects with a predisposing role for anti-social aggressive behaviors. Further studies will be aimed at ascertaining other possible determinants of intimate partner violence and the weight of cultural aspects.</p>
Using coupled micropillar compression and micro-Laue diffraction to investigate deformation mechanisms in a complex metallic alloy Al13Co4
<p>In this investigation, we have used <em>in-situ</em> micro-Laue diffraction combined with micropillar compression of focused ion beam milled Al<sub>13</sub>Co<sub>4</sub> complex metallic alloy to study the evolution of deformation in Al<sub>13</sub>Co<sub>4</sub>. Streaking of the Laue spots showed that the onset of plastic flow occured at stresses as low as 0.8 GPa, although macroscopic yield only becomes apparent at 2 GPa. The measured misorientations, obtained from peak splitting, enabled the geometrically necessary dislocation density to be estimated as 1.1 x 10<sup>13</sup> m<sup>-2</sup>.</p>
Secretin-like class B G protein-coupled receptor (GPCR) mutation data set
<p>Curated set of 2463 quantitative mutation data points covering 13 secretin-like class B G protein-coupled receptors.</p> <p>Annotated according to GPCRdb standards (http://gpcrdb.org/), complemented by GPCRdb Ballesteros-Weinstein numbers assigned using GPCRdb KNIME nodes (https://github.com/3D-e-Chem/knime-gpcrdb).</p> <p>The data set is build from data sets published in:</p> <p>- Siu et al. Nature 2013, 499: 444-449. doi:10.1038/nature12393</p> <p>- Hollenstein, de Graaf et al. Tr Pharmacol Sci 2014, 35: 12-22. doi: 10.1016/j.tips.2013.11.001</p> <p>- Yang, de Graaf et al. J Biol Chem 2016, 291: 12991-3004. doi: 10.1074/jbc.M116.721977</p>
Supplementary data: "Influence of flexibility options on the German transmission grid — A sector-coupled mid-term scenario"
<p>This repository contains result data for the paper <i> "Influence of flexibility options on the German transmission grid — A sector-coupled mid-term scenario"</i>.</p><p>The published data includes optimization results of the three main scenarios in the mentioned publication. </p><p>The data for each scenario is stored as csv-files, which allows analysing it with many different tools. In addition, the data can be imported in Python as a network object of the open-source tool PyPSA by using the function <a href="https://pypsa.readthedocs.io/en/latest/api_reference.html#pypsa.Network.import_from_csv_folder">import from csv folder </a>. </p><p> </p><p>The authors thank the Federal Ministry for Economic Affairs and Climate Action for funding the research project eGon (funding code: 03EI1002).</p>
Characterization of Functionalized Chromatographic Nanoporous Silica Materials by Coupling Water Adsorption and Intrusion with Nuclear Magnetic Resonance Relaxometry
<p>This data publication is based on the metadata and datasets underlying the manuscript "Characterization of Functionalized Chromatographic Nanoporous Silica Materials by Coupling Water Adsorption and Intrusion with Nuclear Magnetic Resonance Relaxometry" (<a href="https://doi.org/10.1021/acsanm.3c04330"><span>https://doi.org/10.1021/acsanm.3c04330</span></a>)</p> <p>Included are the datasets used, raw and processed data of Adsorption measurements (Water, Ar 87K, N2 77K), Water Intrusion measurements, NMR Relaxometry and solid state MAS NMR measurements. More information can be found in the Readme file.</p> <p> </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>
EAMv1 simulation output for evaluating two aerosol process coupling schemes
<p>EAMv1 is version 1 of the atmosphere component of the Energy Exascale Earth System Model (E3SM, <a href="https://github.com/E3SM-Project/E3SM">https://github.com/E3SM-Project/E3SM</a>). This upload contains processed output from transient simulations conducted using the F20TRC5-CMIP6 compset. The EAMv1 source code used in the simulations can be found in <a href="https://doi.org/10.5281/zenodo.7995850">Zenodo record 7995850</a>. Scripts used to conduct and analyze the simulations can be found in <a href="https://doi.org/10.5281/zenodo.10371316">Zenodo record 10371316</a>. </p> <p>The following tarballs contain annually averaged simulation output:</p> <ul> <li>cflx_1_L30_F20TRC5-CMIP6.tar.gz</li> <li>cflx_1_L72_F20TRC5-CMIP6.tar.gz</li> <li>cflx_2_L30_F20TRC5-CMIP6.tar.gz</li> <li>cflx_2_L72_F20TRC5-CMIP6.tar.gz</li> </ul> <p>The following split zip archives contain 6-hourly simulation output:</p> <ul> <li>cflx_1_L30_F20TRC5-CMIP6_6h.z*</li> <li>cflx_2_L72_F20TRC5-CMIP6_6h.z*</li> </ul>
Compressed EAMv1 simulation output for evaluating two aerosol process coupling schemes
<p>EAMv1 is version 1 of the atmosphere component of the Energy Exascale Earth System Model (E3SM, <a href="https://github.com/E3SM-Project/E3SM">https://github.com/E3SM-Project/E3SM</a>). This upload contains processed output from transient simulations conducted using the F20TRC5-CMIP6 compset. The EAMv1 source code used in the simulations can be found in <a href="https://doi.org/10.5281/zenodo.7995850">Zenodo record 7995850</a>. Scripts used to conduct and analyze the simulations can be found in <a href="https://doi.org/10.5281/zenodo.10371316">Zenodo record 10371316</a>. </p> <p>The following tarballs contain annually averaged simulation output:</p> <ul> <li>cflx_1_L30_F20TRC5-CMIP6.tar.gz</li> <li>cflx_1_L72_F20TRC5-CMIP6.tar.gz</li> <li>cflx_2_L30_F20TRC5-CMIP6.tar.gz</li> <li>cflx_2_L72_F20TRC5-CMIP6.tar.gz</li> </ul> <p>The following split archives contain 6-hourly simulation output:</p> <ul> <li>cflx_1_L30_F20TRC5-CMIP6_6h.tar.gz.*</li> <li>cflx_2_L72_F20TRC5-CMIP6_6h.tar.gz.*</li> </ul> <p>The split archives can be recombined and untarred using, e.g., the following commands: </p> <pre><code>${casename}="cflx_1_L30_F20TRC5-CMIP6_6h" cat ${casename}.tar.gz.* | tar xzvf -</code></pre> <p>A copy of the uncompressed and unsplit files can be found through <a href="https://portal.nersc.gov/project/m4359/huiwan/cflx/EAMv1_output_202311_for_Zenodo/">NERSC's web portal</a>.</p>
Coupling the COST reference plasma jet to a microfluidic device: a computational study - Figure Data
Open the record for dataset details and reuse information.
Data for: Making 1H-1H couplings more accessible and accurate with selective 2DJ NMR experiments aided by 13C satellites
<p><sup>1</sup>H-<sup>1</sup>H coupling constants are one of the primary sources of information for NMR structural analysis. Several selective 2DJ experiments have been proposed that allow their individual measurement at pure shift resolution. However, all these experiments fail in the not uncommon case when coupled protons have very close chemical shifts. Firstly, the coupling between protons with overlapping multiplets is inaccessible due to the inability of a frequency-selective pulse to invert just one of them. Secondly, the strong coupling condition affects the accuracy of coupling measurements involving third spins. These shortcomings impose a limit on the effectiveness of state-of-the-art experiments, such as G-SERF or PSYCHEDELIC. Here, we introduce two new and complementary selective 2DJ experiments that we coin SERFBIRD and SATASERF. These experiments overcome the aforementioned issues by utilizing the <sup>13</sup>C satellite signals at natural isotope abundance, which resolve the chemical shift degeneracy. We demonstrate the utility of these experiments on the tetrasaccharide stachyose and the challenging case of norcamphor, for the latter achieving measurement of all <em>J</em><sub>HH</sub> couplings while only few were accessible with PSYCHEDELIC. The new experiments are applicable to any organic compound and will prove valuable for configurational and conformational analyses.</p> <p>This deposit contains Bruker pulse sequences of the SERFBIRD and SATASERF experiments, and the Bruker NMR experimental data. See the readme.pdf file for an overview of the latter.</p>
Cassini Magnetometer Data Products Associated With Ring-Saturn Electromagnetic Coupling
<p>This dataset shows the measurements made by the Cassini magnetometer as it traversed ring-connected magnetic field lines during the Cassini Grand Finale orbits. The L-shell mapping of the azimuthal magnetic field component and associated field-aligned currents are provided, and can be used to regenerate the Cassini magnetometer data products in Figure 2 of the manuscript "Current Events at Saturn: Ring-Planet Electromagnetic Coupling" (Agiwal et al., 2024). </p>
Figure data for article "Controlling the dynamics of atomic correlations via the coupling to a dissipative cavity"
<p>The files contain the data depicted in the figures of the article "Controlling the dynamics of atomic correlations via the coupling to a dissipative cavity", Phys. Rev. Lett. <strong>134</strong>, 073604 (2025)</p> <p>The format of the data and to which figure it corresponds is described in the file "read_me_metadata.txt".</p>
Pre-built Swiss-Calliope sector-coupled energy model
<div> <h3>Swiss-Calliope prebuilt model</h3> <div>The model consists of Switzerland and its neighbours, as described in <a href="https://doi.org/10.1016/j.enconman.2024.118426" target="_blank" rel="noopener">Mellot et al., 2024</a>. Switzerland's heating and transport sectors are modelled on top of its electricity sector.</div> <br> <div>The model is ready to be loaded into Calliope, for 2016--2018. This prebuilt was specifically designed for the study of Switzerland's winter deficit, but is easily modifiable for any other analysis. Refer to Calliope's <a href="https://calliope.readthedocs.io/en/stable/" target="_blank" rel="noopener">documentation</a> for information on how to do this.</div> <br> <div>To run the same scenarios as for the Swiss winter deficit analysis, you need to do the following steps. Note that these scenarios were ran on ETH's Euler cluster which uses the slurm batch system. You can otherwise just adapt the following shell scripts to run the scenarios on other systems.</div> <div>1. Set up the conda environment with the correct version of calliope <code>conda env create -f environment.yaml</code>. On slurm systems you may also need to load gurobi <code>module load new gurobi/9.0.0</code>.</div> <div>2. Run the baseline scenarios, i.e. those corresponding to the EP2050+ configuration, by running <code>sh run_baselines 4</code>, where 4 corresponds to the time resolution.</div> <div>3. Once these runs are finished, run the python file <code>python read_baselines_and_fix_neighbours.py</code>. This will fix Switzerland's neighbouring countries' installed capacities for the next scenarios.</div> <div>4. Then you may run the study's scenarios by running <code>sh run_initial_scenarios.sh 4</code>, and the sensitivity analysis scenarios by running <code>sh run_sensitivies.sh 4</code>.</div> <div> </div> <div>The model's units are GW, GWh, Million euros, and Million kilometers.</div> </div>
SPT results - Simulation of zonation-function relationships in the liver using coupled multiscale models: Application to drug-induced liver injury
<p>Results of the study "Simulation of zonation-function relationships in the liver using coupled multiscale models: Application to drug-induced liver injury"</p>
Plate interface geometry complexity and persistent heterogenous coupling revealed by a high-resolution earthquake focal mechanism catalog in Mentawai, Sumatra
<p>This website contains all the outputs from the study entitled “Plate interface geometry complexity and persistent heterogenous coupling revealed by a high-resolution earthquake focal mechanism catalog in Mentawai, Sumatra”. The contents include the seismic stations used in this study, obtained focal mechanism solutions, corresponding waveform fits, relocation results, and depth-phase modeling results. Each figure (started with ${ID}) is corresponding to the Earthquake ID as shown in Table S1.txt.</p>
F I G U R E 1 in Pelagic observations of the midwater scorpionfish Ectreposebastes imus (Setarchidae) suggests a role in trophic coupling between deep-sea habitats
F I G U R E 1 Ectreposebastes imus (a) observed by submersible JAGO in midwater at 350 m off the island of Santo Ant~ ao, Cabo Verde. Side view of the fish in vertical position with head up, as it was observed when encountered by submersible, (b) observed by PELAGIOS in the horizontal position and (c) observed by PELAGIOS in the vertical position
Accompanying data for the paper "Two-scale concurrent simulations for crack propagation using FEM-DEM bridging coupling" : Mode-I
<h2>Contributions</h2> <ul> <li>Manon Voisin--Leprince: Contributed to writing scripts, launching simulations, and analyzing results</li> <li>Joaquin Garcia-Suarez: Contributed to helping analyze results</li> <li>Guillaume Anciaux: Contributed to supervising the project</li> <li>Jean-François Molinari: Contributed to supervising the project</li> </ul> <p>All authors reviewed the results and contributed to the manuscript</p> <h2>Funding sources</h2> <ul> <li>Grant 200021_197152, entitled <code>Wear across scales</code> by the Swiss National Science Foundation. </li> </ul> <h2>FEM-DEM coupling applications</h2> <p>The data_mode_I folder is composed of:</p> <p>1- The DEM folder which contains the scripts to generate the DEM samples used in the simulations (Mode_I and Mode_II)</p> <p>2- The Mode_I folder which is composed of:</p> <ul> <li> <p>mode_I: Contains the scripts and data of the section "Mode I crack propagation" presented in the paper</p> </li> <li> <p>post_processing_mode_I: Contains the files to conduct the post processing relative to the section "Mode I crack propagation"</p> </li> </ul> <p>Additional README.md files are provided in the subfolders</p> <p>The notebook folder contains scripts to plot the results of the section "Mode I crack propagation". </p> <h2>Mode_II complementary dataset</h2> <p>The Mode-II part of the study can be found at https://doi.org/10.5281/zenodo.14264611</p>
ScienceDex guides
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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.