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2,208 results for “coupling”

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zenodo32/100

Data for 'Josephson diode effect derived from short-range coherent coupling'

<p>An Igor file stores source data for the three figures in the main manuscript and the supplementary figures. The wave names are&nbsp;tied to file names of the raw data.&nbsp;The raw data for the three figures and the supplementary figures are compressed in &#39;raw data.zip&#39;.</p>

opencc-by-4.0Jun 2023View details →
zenodo32/100

Dataset accompanying the submission titled "Adaptive covariance hybridization for the assimilation of SST observations within a coupled Earth system reanalysis"

<p>The dataset contains the data accompanying our submission entitled &quot;Adaptive covariance hybridization for the assimilation of SST observations within a coupled Earth system reanalysis&quot;. It contains:</p> <ol> <li>The yearly outputs of the free run</li> <li>The observations</li> <li>The yearly outputs of the runs of the standard hybrid</li> <li>The yearly outputs of the runs of the adaptive hybrid</li> <li>The grid of the model</li> <li>The maps of the hybridization coefficients</li> <li>The python and matlab scripts used to plot the figures of the article</li> </ol>

opencc-by-4.0Jun 2023View details →
zenodo32/100

Data for "Minimizing non-radiative decay in molecular aggregates through control of excitonic coupling"

<p>Data for &quot;Minimizing non-radiative decay in molecular aggregates through control of excitonic coupling&quot;.&nbsp;&nbsp;</p> <p>&quot;Adding &#39;FIG.5c-20230615.npz&#39; to match the revised manuscript&quot; - Updated 2023.06.15</p>

opencc-by-4.0May 2023View details →
zenodo32/100

Structure-function coupling increases during interictal spikes in temporal lobe epilepsy: a graph signal processing study

<p><strong>Dataset for the publication: &#39;Structure-function coupling increases during interictal spikes in temporal lobe epilepsy: a graph signal processing study&#39;<br> Rigoni et al. 2023, Clinical Neurophysiology, doi: </strong><a href="https://doi.org/10.1016/j.clinph.2023.05.012">https://doi.org/10.1016/j.clinph.2023.05.012</a></p> <p><strong>Dataset description</strong></p> <p><em>func_data.mat</em> : source-reconstructed EEG traces stored in a Fieldtrip format&nbsp;(data for each subj)</p> <p><em>struct_data</em>: consensus structural connectome</p> <p><em>ROIpatch </em>: mesh used to plot Fig4</p> <p><em>SC_surrogates (W0)</em>: 1000 degree-preserving surrogates of the structural connectome computed with the null_model_und_sign function of the Brani Connectivity Toolbox; W0 are used for broadcasting analyses, section 2.6.2</p> <p><em>SC_surrogates_harmonics (U0)</em> : network harmonics of the surrogate structural connectomes (W0);&nbsp;U0 are used for broadcasting analyses, section 2.6.2<br> <em>BD_surr </em>: Broadcasting-direction (BD) of the degree-preserving surrogates of the structural connectome W0; used to produce FigS3 (data for each subj)</p> <p><em>PHI </em>: matrix of +1/-1 to generate the functional surrogates used to define significance of SDI, as described in section 2.6.3</p> <p><em>data_GSP2_surr </em>: SDI of the functional surrogates used to define significance of SDI, as described in section 2.6.3 (data for each subj)</p> <p>&nbsp;</p> <p>Abbreviations:</p> <p>EEG= electroencephalography;</p> <p>SDI= structure-decoupling index</p>

opencc-by-4.0Jun 2023View details →
zenodo32/100

Spin Dynamics, Loop Formation and Cooperative Reversal in Artificial Quasicrystals with Tailored Exchange Coupling

<p>The attachment contains the&nbsp;dataset for the manuscript entitled &quot;Spin Dynamics, Loop Formation and Cooperative Reversal in Artificial Quasicrystals with Tailored Exchange Coupling&quot;.</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2023View details →
zenodo32/100

Imaging seismic and aseismic plate coupling with interferometric radar (InSAR) in the Hikurangi subduction zone

<p>Data associated with&nbsp;&#39;Imaging seismic and aseismic plate coupling with interferometric radar (InSAR) in the Hikurangi subduction zone published in GRL.</p>

opencc-by-4.0Jul 2023View details →
zenodo32/100

A tightly coupled river-ocean model for simulating combined flood due to storm surge and river flow in coastal-urban areas

<p>Coastal flooding, resulting from storm surges or extreme river flows, causes significant causalities and damage to properties in low-lying areas. The simultaneous occurrence of river flows and storm surges, termed combined/compound events, exacerbates the flood risk compared to independent occurrences. Combined flood events are simulated with the help of hydraulic and hydrodynamic models using a loosely or tightly coupled approach. In the loosely coupled approach, a hydrodynamic model simulates storm surges first, and a hydraulic model then simulates inland flood due to river overflow considering surge as the boundary condition at the river mouth/estuary. Conversely, the tightly coupled approach involves simultaneous simulation of both river flow and storm surge by coding the mathematical representation of river and ocean flow dynamics in the same numerical model. This allows the interaction between river and ocean flows to be simulated anywhere in the combined river-ocean computational domain, making it highly relevant for simulating combined floods. However, existing models based on this approach encounter numerical instability, especially in inland regions where topography variation is steep and highly uneven. Also, such combined models are highly limited for large scale applications. Therefore, this research focuses on developing a tightly coupled 2D finite volume river-ocean model called IROMS-C2D. The developed model intends to address the limitations of the previous models and provide a stable solution framework for the simulation of combined flooding resulting from the interaction of storm surges and river flows in coastal urban areas. Further, it enhances our understanding of flood risks in coastal areas, particularly in urban settings, and facilitates the formulation of effective measures for flood control and adaptation of coastal infrastructure.</p>

opencc-by-4.0Jul 2023View details →
zenodo32/100

A tightly coupled river-ocean model for simulating combined flood due to storm surge and river flow in coastal-urban areas

<p>Coastal flooding, resulting from storm surges or extreme river flows, causes significant causalities and damage to properties in low-lying areas. The simultaneous occurrence of river flows and storm surges, termed combined/compound events, exacerbates the flood risk compared to independent occurrences. Combined flood events are simulated with the help of hydraulic and hydrodynamic models using a loosely or tightly coupled approach. In the loosely coupled approach, a hydrodynamic model simulates storm surges first, and a hydraulic model then simulates inland flood due to river overflow considering surge as the boundary condition at the river mouth/estuary. Conversely, the tightly coupled approach involves simultaneous simulation of both river flow and storm surge by coding the mathematical representation of river and ocean flow dynamics in the same numerical model. This allows the interaction between river and ocean flows to be simulated anywhere in the combined river-ocean computational domain, making it highly relevant for simulating combined floods. However, existing models based on this approach encounter numerical instability, especially in inland regions where topography variation is steep and highly uneven. Also, such combined models are highly limited for large scale applications. Therefore, this research focuses on developing a tightly coupled 2D finite volume river-ocean model called IROMS-C2D. The developed model intends to address the limitations of the previous models and provide a stable solution framework for the simulation of combined flooding resulting from the interaction of storm surges and river flows in coastal urban areas. Further, it enhances our understanding of flood risks in coastal areas, particularly in urban settings, and facilitates the formulation of effective measures for flood control and adaptation of coastal infrastructure.</p>

opencc-by-4.0Jul 2023View details →
zenodo32/100

Bathymetric,Magnetic data and code for Coupled detachment faulting and hydrothermal circulation at 49.7°E Southwest Indian Ridge revealed by seafloor magnetism

<p>The dataset contains the Dragon Horn area bathymetric data, near-bottom magnetic survey data, and the SimPEG (V0.15.2) source code used in the forward and inversion of magnetic anomalies.</p>

opencc-by-4.0Jul 2023View details →
zenodo32/100

Atmospheric and Coupled Model inter-comparison Study

<p>This repository contains software tools, model output datasets and plotting scripts that used for evaluations and figures presented in the study.</p>

opencc-by-4.0Jul 2023View details →
zenodo32/100

Supporting data for manuscript: "Global-scale evaluation of coastal ocean alkalinity enhancement in a fully-coupled Earth system model"

<p>Supporting data for manuscript: &quot;Global-scale evaluation of coastal<br> ocean alkalinity enhancement in a fully-coupled Earth system model&quot;</p> <p>Authors: Julien Palmieri and Andrew Yool</p> <p>Institute: National Oceanography Centre, European Way, Southampton<br> SO14 3ZH, UK</p> <p>This repository consists of four main sets of files:</p> <p>1. Matlab scripts used for analysis, figure plotting and table<br> &nbsp; &nbsp;preparation</p> <p>&nbsp; &nbsp;Filenames of the format: Figure_??.m</p> <p>2. Raw netCDF output files from UKESM1 for six model experiments</p> <p>&nbsp; &nbsp;Filenames of the format: medusa_c*.nc</p> <p>3. BGCVal processed timeseries shelve files</p> <p>&nbsp; &nbsp;Filenames of the format: u-c*.shelve.txt</p> <p>4. CMM2 processed timeseries netCDF files</p> <p>&nbsp; &nbsp;Filenames of the format: c*_global.nc</p> <p>File sets 2-4 are read and processed by script files in file set 1<br> &nbsp;</p>

opencc-by-4.0Jul 2023View details →
zenodo32/100

All optimized structures for electronic coupling

<p>These optimized structures provided the correct active space, enabling us to perform the coupling calculations accurately.</p> <p>To check the impact of dynamic correlation, NEV-PT2 calculations were also done for the following 6 structures:</p> <p>2_frame_12.xyz</p> <p>2_frame_14.xyz</p> <p>9_frame_12.xyz</p> <p>17_frame_3.xyz</p> <p>21_frame_4.xyz</p> <p>23_frame_1.xyz</p>

opencc-by-4.0Aug 2023View details →
zenodo32/100

Figure 7 in Genital coupling, morphology and evolution of male holding structures in Cicadinae (Hemiptera: Cicadidae)

Figure 7. Ancestral state reconstruction of anchor (left tree) and grip (right tree) traits mapped on the tree pruned from Marshall et al. (2018); filled circles at the tips represent the terminal states. Pie charts depict both the probabilities under maximum likelihood and the stochastic character mapping methods of each node (see probability values in Supporting Information, Table S1). Numbers above nodes indicate the nodes referred to in Results and the Discussion. Values inside the squares are the estimated state transitions, and values between the arrows are the estimated transition rates. Pictures to the left show the diversity of lateral thecal processes and vesical processes (scale bars: 0.5 mm; P. hilpa and M. angularis, 0.25 mm); pictures to the right show the diversity of cornuti and spines of the vesica.

opennotspecifiedSep 2019View details →
zenodo32/100

Figure 4. A in Genital coupling, morphology and evolution of male holding structures in Cicadinae (Hemiptera: Cicadidae)

Figure 4. A, Dorisiana sp., male and female during copulation. B, female of Guyalna bonaerensis with pygofer attached to terminalia. Abbreviations: ab9, abdominal segment 9; gx VIII, gonocoxites VIII; pyg, pygofer; st VII, sternite VII. Scale bar: 2 mm (B). Photo A kindly provided by D. Maccagnan.

opennotspecifiedSep 2019View details →
zenodo32/100

Figure 1 in Genital coupling, morphology and evolution of male holding structures in Cicadinae (Hemiptera: Cicadidae)

Figure 1. Phylogenetic tree of Cicadidae sensu Marshall et al. (2018) and habitus of representative species of Cicadinae sampled in this study. Scale bars: 100 mm.

opennotspecifiedSep 2019View details →
zenodo32/100

Figure 3 in Genital coupling, morphology and evolution of male holding structures in Cicadinae (Hemiptera: Cicadidae)

Figure 3. Ornamentations of vesica and theca of cicadas. A–D, aedeagus of Gaeana maculata. A, left lateral view, with dashed blue line delimiting spines of the vesica, red line delimiting cornuti, and purple line delimiting microsculptures of the vesica. B, magnification of spines of vesica under SEM. C, magnification of cornuti under SEM. D, magnification of microsculptures of vesica under SEM. E, F, aedeagus of Diceroprocta vitripennis. E, left lateral view, with dashed purple line delimiting microsculptures of the theca. F, magnification of microsculptures of the theca under SEM. Abbreviations: cor, cornuti; mt, microsculptures of theca; SEM, scanning electron microscopy; sv, spines of vesica; vp, vesical process. Scale bars: 1 mm (A); 0.25 mm (E).

opennotspecifiedSep 2019View details →
zenodo32/100

Figure 6 in Genital coupling, morphology and evolution of male holding structures in Cicadinae (Hemiptera: Cicadidae)

Figure 6. Coupling theca and vesica with the seminal ampoule of Guyalna bonaerensis. A, longitudinal section through the seminal ampoule, showing the microsculpturized portion of the vesica in contact with the posterior region of the inner wall of the seminal ampoule, green box delimiting spines of the vesica, and purple box delimiting microsculptures of the seminal ampoule. B, magnification of spines of the vesica under scanning electron microscopy. C, magnification of microsculptures of the seminal ampoule under scanning electron microscopy. Abbreviations: aed, aedeagus; sa, seminal ampoule; ve, vesica; vp, vesical process. Scale bar: 0.5 mm (A).

opennotspecifiedSep 2019View details →
zenodo32/100

Figure 5 in Genital coupling, morphology and evolution of male holding structures in Cicadinae (Hemiptera: Cicadidae)

Figure 5. Coupling male and female genitalia of Guyalna bonaerensis, with male genitalia shown in green and female terminalia in purple. A, left lateral view, with black box magnifying the interaction of the uncus with sternite VII and gonocoxites VIII). B, C, seminal ampoule, showing the aedeagus crossing the genital duct. B, right lateral view. C, left lateral view, showing the lateral branches of the uncus fitting the gonocoxites VIII (sternite VII was removed). Abbreviations: ab9, abdominal segment 9; aed, aedeagus; co, common oviduct; dvp, dorsovaginal pouch; gx VIII, gonocoxites VIII; lbu, lateral branches of uncus; os, ovipositor sheath; pyg, pygofer; sa, seminal ampoule; st VII, sternite VII; udc, uncal dorsal crest; un, uncus; ve, vesica. Scale bars: 2 mm (A); 1 mm (B–C).

opennotspecifiedSep 2019View details →
zenodo32/100

Fig. 4 in Density functional theory study on the coupling and reactions of diferuloylputrescine as a lignin monomer

Fig. 4. Gibbs free energies of reaction for radical coupling to form quinone methides and rearomatization for cross-coupled diferuloylputrescine-coniferyl alcohol dimers.

opennotspecifiedMay 2022View details →
zenodo32/100

Fig. 3 in Density functional theory study on the coupling and reactions of diferuloylputrescine as a lignin monomer

Fig. 3. Gibbs free energies of reaction for radical coupling to form quinone methides and rearomatization for homo-coupled diferuloylputrescine dimers.

opennotspecifiedMay 2022View details →

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Allen Brain Atlas

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DANDI Archive for NWB datasets

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dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
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OpenNeuro

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Last verified 2026-04-29Open record