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2,208 results for “coupling”
Experimental validation of simplicial complexes in multivariable coupled oscillators. Coupling: Lineal (Class III) vs NoLineal (Class III)
<p>The data sets correspond to the experimental implementation of synchronization phenomenon in <strong>simplicial complexes</strong>. In this particular case, the simplicial complex consists of 3-node network, where each node is an electronic Rössler-like oscillator whose parameters were fixed to operate in <strong>chaotic regime</strong>. In simplicial complexes, it is possible to model two types of interactions among nodes: <strong>pair-wise interactions (linear interactions)</strong> and <strong>high-order interactions (non-linear interactions)</strong>.</p> <p>The complete experiment consists of coupling simultaneously by means of linear and non-linear interactions the simplicial complex, the coupling occurs in state variables x (class III) and y (class II). The full data sets are organized in four Dataset, whose name explicitly indicates in which state variable occurs each coupling. In these case, Linearx-nonlinearx means that the linear coupling occurs in variable <em><strong>x</strong></em> (class III) whereas the non-linear coupling occurs in variable<em><strong> x</strong></em> (class III).</p> <p>Now, each folder contains 10000 files which come from varying the linear coupling and the nonlinear coupling 100 times each one. The file name is composed as follows: rootname XX YY, where XX corresponds to the variation number in linear coupling, whereas YY corresponds to the variation number in non-linear coupling.</p> <p>Internally in each file we can find 6 columns and 30,000 rows. Each pair of columns corresponds to the<strong><em> x</em></strong> and <strong><em>y</em></strong> variables of each oscillator and the rows correspond to time-varying samples.</p>
Experimental validation of simplicial complexes in multivariable coupled oscillators. Coupling: Lineal (Class III) vs NoLineal (Class II)
<p>The data sets correspond to the experimental implementation of synchronization phenomenon in<strong> simplicial complexe</strong>s. In this particular case, the simplicial complex consists of 3-node network, where each node is an electronic Rössler-like oscillator whose parameters were fixed to operate in <strong>chaotic regime</strong>. In simplicial complexes, it is possible to model two types of interactions among nodes: <strong>pair-wise interactions</strong> (linear interactions) and <strong>high-order interactions</strong> (non-linear interactions).</p> <p>The complete experiment consists of coupling simultaneously by means of linear and non-linear interactions the simplicial complex, the coupling occurs in state variables x (class III) and y (class II). The full data sets are organized in four Dataset (second), whose name explicitly indicates in which state variable occurs each coupling. In these case, Linearx-nonlineary means that the linear coupling occurs in variable <em><strong>x</strong></em> (class III) whereas the non-linear coupling occurs in variable <em><strong>y</strong></em> (class II).</p> <p>Now, each folder contains 10000 files which come from varying the linear coupling and the nonlinear coupling 100 times each one. The file name is composed as follows: rootname XX YY, where XX corresponds to the variation number in linear coupling, whereas YY corresponds to the variation number in non-linear coupling.</p> <p>Internally in each file we can find 6 columns and 30,000 rows. Each pair of columns corresponds to the <em><strong>x</strong></em> and <em><strong>y</strong></em> variables of each oscillator and the rows correspond to time-varying samples.</p>
Experimental validation of simplicial complexes in multivariable coupled oscillators. Coupling: Lineal (Class II) vs NoLineal (Class III)
<p>The data sets correspond to the experimental implementation of synchronization phenomenon in <strong>simplicial complexes</strong>. In this particular case, the simplicial complex consists of 3-node network, where each node is an electronic Rössler-like oscillator whose parameters were fixed to operate in <strong>chaotic regime</strong>. In simplicial complexes, it is possible to model two types of interactions among nodes: <strong>pair-wise interactions</strong> (linear interactions) and <strong>high-order interactions</strong> (non-linear interactions).</p> <p>The complete experiment consists of coupling simultaneously by means of linear and non-linear interactions the simplicial complex, the coupling occurs in state variables x (class III) and y (class II). The full data sets are organized in four Dataset (third), whose name explicitly indicates in which state variable occurs each coupling. In these case, Lineary-nonlinearx means that the linear coupling occurs in <strong>variable y</strong> (class II) whereas the non-linear coupling occurs in <strong>variable x</strong> (class III).</p> <p>Now, each folder contains 10000 files which come from varying the linear coupling and the nonlinear coupling 100 times each one. The file name is composed as follows: rootname XX YY, where XX corresponds to the variation number in linear coupling, whereas YY corresponds to the variation number in non-linear coupling.</p> <p>Internally in each file we can find 6 columns and 30,000 rows. Each pair of columns corresponds to the x and y variables of each oscillator and the rows correspond to time-varying samples.</p>
Experimental validation of simplicial complexes in multivariable coupled oscillators. Coupling: Lineal (Class II) vs NoLineal (Class II)
<p>The data sets correspond to the experimental implementation of synchronization phenomenon in <strong>simplicial complexes</strong>. In this particular case, the simplicial complex consists of 3-node network, where each node is an electronic Rössler-like oscillator whose parameters were fixed to operate in <strong>chaotic regime</strong>. In simplicial complexes, it is possible to model two types of interactions among nodes: <strong>pair-wise interactions</strong> (linear interactions) and<strong> high-order interaction</strong>s (non-linear interactions).</p> <p>The complete experiment consists of coupling simultaneously by means of linear and non-linear interactions the simplicial complex, the coupling occurs in state variables x (class III) and y (class II). The full data sets are organized in four Dataset (fourth), whose name explicitly indicates in which state variable occurs each coupling. In these case, Linearx-nonlinearx means that the linear coupling occurs in variable <strong>y</strong> (class II) whereas the non-linear coupling occurs in variable <strong>y</strong> (class II).</p> <p>Now, each folder contains 10000 files which come from varying the linear coupling and the nonlinear coupling 100 times each one. The file name is composed as follows: rootname XX YY, where XX corresponds to the variation number in linear coupling, whereas YY corresponds to the variation number in non-linear coupling.</p> <p>Internally in each file we can find 6 columns and 30,000 rows. Each pair of columns corresponds to the x and y variables of each oscillator and the rows correspond to time-varying samples.</p>
Gravestone of a married couple
Sandstone gravestone. Bottom part including inscription is missing. Under a triangular pediment with a rose ornamen stands a man in a niche with a woman's face carved out to his right. National Museum of Antiquities, Leiden, the Netherlands; sandstone; 69x72x21cm; Roman period; 100-300 AD; Heerlen, the Netherlands; purchase November 1887 Source: Objaverse 1.0 / Sketchfab
Sculptures of young couple from Indonesia
ID no.: 61771/mek (woman), 61770/mek (man) Museum: The Seweryn Udziela Ethnographic Museum in Kraków https://muzea.malopolska.pl/en/objects-list/348 Digitalisation: RDW MIC, Małopolska's Virtual Museums project Source: Objaverse 1.0 / Sketchfab
Embracing Couple, 1st C BCE - 1st C CE
Sawankalok ware Embracing Couple, 1st C BCE - 1st C CE, now in the collection of the Minneapolis Institute of Art. More information here: https://collections.artsmia.org/art/99901/embracing-couple-thailand The sculpture is 6cm (2 3/8 inches) tall; the model is scaled to 60cm in VR/AR here. Source: Objaverse 1.0 / Sketchfab
Couple d'indiens
Sculpture en pierre calcaire de Crazannes e 70 cm de hauteur réalisée par "François". Pas d'autres indications hélas. Source: Objaverse 1.0 / Sketchfab
The ReaxFF MD simulation code for the "Mechanistic Investigation of Thermal Plasma Gasification of Polytetrafluoroethylene via Multiscale Simulation Coupled with Experimental Confirmation""
<p>This repository contains the implementation for ReaxFF MD simulation method described in the paper "Mechanistic Investigation of Thermal Plasma Gasification of Polytetrafluoroethylene via Multiscale Simulation Coupled with Experimental Confirmation".</p>
Dataset of paper "Predicting the size of silver nanoparticles synthesised in flow reactors: Coupling population balance models with fluid dynamic simulations"
<p>Dataset of paper "Predicting the size of silver nanoparticles synthesised in flow reactors: Coupling population balance models with fluid dynamic simulations"</p>
Data for: Neuroendocrine gene expression coupling of interoceptive bacterial food cues to foraging behavior of C. elegans
<p>Animal internal state is modulated by nutrient intake, resulting in behavioral responses to changing food conditions. The neural mechanisms by which internal states are generated and maintained are not well understood. Here, we show that in the nematode <em>Caenorhabditis elegans, </em>distinct cues from bacterial food – interoceptive signals from the ingestion of bacteria and gustatory molecules sensed from nearby bacteria – act antagonistically on the expression of the neuroendocrine TGF-beta ligand DAF-7 from the ASJ pair of sensory neurons to modulate foraging behavior. A positive-feedback loop dependent on the expression of <em>daf-7 </em>from the ASJ neurons acts to promote transitions between roaming and dwelling foraging states and influence the persistence of roaming states. SCD-2, the <em>C. elegans </em>ortholog of mammalian Anaplastic Lymphoma Kinase (ALK), which has been implicated in the central control of metabolism of mammals, functions in the AIA interneurons to regulate foraging behavior and cell-non-autonomously control the expression of DAF-7 from the ASJ neurons. Our data establish how a dynamic neuroendocrine <em>daf-7 </em>expression feedback loop regulated by SCD-2 functions to couple sensing and ingestion of bacterial food to foraging behavior. We further suggest that this neuroendocrine feedback loop underlies previously characterized exploratory behaviors in <em>C. elegans</em>. Our data suggest that the expression of <em>daf-7</em> from the ASJ neurons contributes to and is correlated with an internal state of "unmet need" that regulates exploratory foraging behavior in response to bacterial cues in diverse physiological contexts.</p>
Data for: A coupled optical waveguides system in a fluidic medium that elucidates different parity-time-symmetric phases
<p>This research introduces a novel methodology of harnessing liquids to facilitate the realization of parity-time (<em>PT</em>)- symmetric optical waveguides on highly integrated microscale platforms. Additionally, we propose a realistic and detailed fabrication process flow, demonstrating the practical feasibility of fabricating our optofluidic system, thereby bridging the gap between theoretical design and actual implementation. Extensive research has been conducted over the past two decades on <em>PT</em>-symmetric systems across various fields, given their potential to foster a new generation of compact, power-efficient sensors and signal processors with enhanced performance. Passive <em>PT</em>-symmetry in optics can be achieved by evanescently coupling two optical waveguides and incorporating an optically lossy material into one of the waveguides. The essential coupling distance between two optical waveguides in air is usually less than 500 nm for nearinfrared wavelengths and under 100 nm for ultraviolet wavelengths. This necessitates the construction of the coupling region via expensive and time-consuming electron beam lithography, posing a significant manufacturing challenge for the mass production of <em>PT</em>-symmetric optical systems. We propose a solution to this fabrication challenge by introducing liquids capable of dynamic flow between optical waveguides. This technique allows the attainment of evanescent wave coupling with coupling gap dimensions compatible with standard photolithography processes. Consequently, this paves the way for the cost-effective, rapid and large-scale production of <em>PT</em>-symmetric optofluidic systems, applicable across a wide range of fields.</p>
Data and geometries for "Understanding X-ray absorption in liquid water using triple excitations in multilevel coupled cluster theory"
<p>Geometries and raw and processed data for the paper "Understanding X-ray absorption in liquid water using<br>triple excitations in multilevel coupled cluster theory"</p> <p>This work has received funding from the European Research Council (ERC)<br>under the European Union’s Horizon 2020 Research and Innovation Program<br>(grant agreement no. 101020016 and 860553), the Research Council of Norway through FRINATEK (project no. 275506), the Swedish Research Council (grant agreement no. 2021-04521), the Independent Research Fund Denmark--Natural Sciences, DFF-RP2 (grant no. 7014-00258B)<br>Computing resources from UNINETT Sigma2—the National Infrastructure for High Performance Computing<br>and Data Storage in Norway (project no. NN2962k),<br>from DeIC—Danish Infrastructure Cooperation (grant no. DeiC-DTU-N3-2023027), and from the Swiss National Supercomputing Centre (project ID uzh1).</p>
Coupled Ocean-atmospheric forcing on Indian Summer Monsoon variability during the middle Holocene: Insights from the Core Monsoon Zone speleothem record.
<p>Stable oxygen and carbon isotope data of stalagmite sample during middle Holocene time from Mahadev cave of Jagdalpur region in Central India.</p>
Dataset: Coupling of saccade plans to endogenous attention during urgent choices
<p>This dataset (packaged as the zip file datashare.zip) accompanies the article titled "Coupling of saccade plans to endogenous attention during urgent choices" by AT Goldstein, TR Stanford, and E Salinas, which is available as a preprint in bioRxiv. The experimental results in the paper are based on behavioral data collected from 18 human participants during performance of a visuomotor task (the endogenously driven pro/antisaccade task), as described in the article. This dataset contains the trial-by-trial results collected for each participant and upon which all subsequent analyses were based.</p> <p>In addition to the trial-wise data array (stored in the file epa_trials.csv), the package includes Matlab functions and scripts (*.m files) used to analyze the data and recreate the results and figures in the article. Instructions and specifics are detailed in the README file. </p>
Tomography of entangling two-qubit logic operations in exchange-coupled donor electron spin qubits
<p>Scalable quantum processors require high-fidelity universal quantum logic operations in a manufacturable physical platform. Donors in silicon provide atomic size, excellent quantum coherence and compatibility with standard semiconductor processing, but no entanglement between donor-bound electron spins has been demonstrated to date. Here we present the experimental demonstration and tomography of universal 1- and 2-qubit gates in a system of two weakly exchange-coupled electrons, bound to single phosphorus donors introduced in silicon by ion implantation. We surprisingly observe that the exchange interaction has no effect on the qubit coherence. We quantify the fidelity of the quantum operations using gate set tomography (GST), and we use the universal gate set to create entangled Bell states of the electrons spins, with fidelity ≈ 93%, and concurrence 0.91 ± 0.08. These results form the necessary basis for scaling up donor-based quantum computers.</p>
Dataset: Intercavity polariton slows down dynamics in strongly coupled cavities
<p>Dataset for the experimental data of article: Intercavity polariton slows down dynamics in strongly coupled cavities </p>
Mediterranean Sea, NEMO4.2 / WW3 uncoupled and coupled surface: stress, currents and Stokes Drift
<pre>The NEMO version 4.2 has been updated to include new processes related to wave-current interactions. <br>A set of sensitivity experiments are performed using the hydrodynamic model, NEMO v4.2 standalone and coupled with <br>the spectral wave model WaveWatchIII (WW3) v6.07 through the OASIS library. <br><br>The configuration is based on the operational Copernicus Marine Service Mediterranean forecasting physical system (MedFS). <br>Both models are implemented at 1/24° resolution and are forced by ECMWF 1/10° horizontal resolution atmospheric fields.<br><br>Two-year (2019-2020) numerical experiments are carried out in both uncoupled and 1 way coupled mode.<br>This dataset contains the NEMO output of the daily surface fields for the surface stress, the surface currents <br>and the Stokes drift for the uncoupled and coupled experiments. <br>This dataset was created in the context of the IMMERSE H2020 project.</pre>
GSA-GxE: A Framework of Global Sensitivity Analysis of Maize Coupled with Genetics by Environments (GxE) Model
<p>We present the coupled Global Sensitivity Analysis (GSA) and Genetics by Environment model (GxE) framework (Sarzaeim and Muñoz-Arriola, submitted). GSA-GxE uses the sensitivity analysis method PAWN (Pianosi and Wagener, 2015) coupled with the environmental covariance matrix used in GxE modeling (Jarquin et al., 2014). GSA-GxE estimates the relative sensitivity of maize yield predictability to hydroclimate variables that interact with maize genetics from the environmental covariances and genetic marker structures. We include hydroclimate variables like temperature (T), solar radiation (SR), rainfall (R), and relative humidity (RH). The data, codes, and scripts presented here were used to develop and test the GSA-GxE framework. They were built upon an enhanced version of the multi-dimensional Genomes to Fields (G2F) database consisting of maize genetic, phenotypic, environmental, and metadata in 84 field experiments in 2014-2017 across the U.S. and province of Ontario, Canada (Sarzaeim et al., 2020, 2022, 2023). This digital package contains a multi-dimensional Climate and Omics dataset, the GSA-GxE framework created in Python, and the GxE model developed in R.</p> <p><strong>Acknowledgement</strong></p> <p>This work was supported by the Agriculture and Food Research Initiative Grant number NEB-21-176 and NEB-21-166 from the USDA National Institute of Food and Agriculture, Plant Health and Production and Plant Products: Plant Breeding for Agricultural Production. In addition, we thank the Genomes to Fields (G2F) Initiative for providing the database; and Quantifying Life Sciences Initiative at the University of Nebraska-Lincoln.</p>
Raw data for journal article: "Wave propagation across the skull under bone conduction: Dependence on coupling methods"
<p>This is a data set containing the raw data for figures 3-6 from the journal article:</p> <p>"Wave propagation across the skull under bone conduction: Dependence on coupling<br>methods"</p> <p>Original article DOI: 10.1121/10.0009676</p> <p>Original article link: https://pubmed.ncbi.nlm.nih.gov/35364950/</p> <p> </p> <p>The Fig 3 and 4 data are contained within MATLAB figure (.fig) files, all saved with MATLAB version R2020a.</p> <p>Fig 5 and 6 data are 3D velocity data for 5 cadaver heads (CH1-5) and FEM predictions.</p> <p>This data are stored within a folder structure indicating the stimulation condition (defined in the journal article). For example "Cadaver head data\CH1\Attract" contains cadaver head data for cadaver head 1 (CH1) with stimulation "Attract", as defined in the journal article above.</p> <p>For each combination of cadaver head (or FEM) and stimulation condition there is a TXT file (comma delimited) for the real and imaginary data at each stimulation frequency, and orthogonal velocity axis (X,Y,Z based on the anatomical coordinate system defined in the journal article) as well as the combined (maximum) velocity vector. The data set also includes a TXT file with the position (in same coordinate system the velocity data) of each measurement point and a list of stimulation frequencies.</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.