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2,208 results for “coupling”
Aerodynamics code used in Wind Energy Science paper "Comparison of a coupled near- and far-wake model with a free-wake vortex code"
<p>This research code has been developed from the start of my PhD as a first step before the HAWC2 implementation of the near wake model.</p> <p>It can be used to make aerodynamic computations of a stiff wind turbine rotor, and it includes</p> <ul> <li>A BEM and far wake model implementation based on the one in HAWC2</li> <li>An attached flow unsteady airfoil aerodynamics model including the modifications described in the WES article</li> <li>Most importantly a near wake model implementation including all major modifications except the recent stand still extension presented at TORQUE 2016</li> </ul> <p>All the data files need to be in a subfolder 'NREL_5MW' located in the same folder as the compiled source code.</p> <p>With the present (hardcoded) settings, the program will simulate the NREL 5 MW reference turbine for 650 seconds, with blade vibrations according to different prescribed mode shapes after steady state is reached. The aerodynamics model is a coupled near and far wake model. The integrated aerodynamic work during 1 period of the different prescribed vibrations will be output in the file 'aerowork.out' .</p> <p>The NREL 5 MW turbine is described in:</p> <p>Jonkman, J., Butterfield, S., Musial,W., and Scott, G.: Definition of a 5-MW Reference Wind Turbine for Offshore System Development, National Renewable Energy Laboratory, 2009.</p>
Chemokine G protein-coupled receptor (GPCR) mutation data set - revision
<p>Curated set of 2004 quantitative mutation data points covering 10 chemokine G protein-coupled receptors, annotated according to GPCRdb standards (http://gpcrdb.org/) building from the data set published by Scholten et al. in BJP 2012, 165, 1617.</p> <p>Errors in the previous version were corrected and new data points for CCR2 and CCR9 were added.</p>
Influence of Coupled Changes on Help Seeking Strategy
<p>The data set includes the results on the influence on coupled file changes on the help seeking locations and their sequence during maintenance tasks.</p>
Video #2745 from the wettability tests of Si/h-BN and Si-30B (wt %)/h-BN couples at temperature up to 1750 C
<p>The video was recorded during the wettability test of <strong>Si/h-BN</strong> (on the right side) and <strong>Si-30B (wt %)/h-BN</strong> (on the left side) couples at temperature <strong>up to 1750 C</strong>. The test was performed at Foundry Research Institute facilities by using an experimental complex that has been designed for investigations of high temperature capillarity phenomena by various testing methods (classical sessile drop, pendant drop, dispensed drop, sandwiched drop, transferred drop, drop sucking, drop pushing, drop smearing or rubbing).</p> <p>A more detailed description of the experimental complex is shown elsewhere:</p> <p>Sobczak N, Nowak R, Radziwill W, Budzioch J, Glenz A, Experimental complex for investigations of high temperature capillarity phenomena, Mater Sci Eng A 495 (2008) 43–49</p>
Video #2746 from the wettability tests of Si-30B (wt %)/Si/h-BN and Si-30B (wt %)/Si/graphite couples at temperature up to 1750 C
<p>The video was recorded during the wettability test of <strong>Si-30B (wt %)/Si/h-BN</strong> (on the right side) and <strong>Si-30B (wt %)/Si/graphite</strong> (on the left side) couples at temperature <strong>up to 1750 C</strong>. The test was performed at Foundry Research Institute facilities by using an experimental complex that has been designed for investigations of high temperature capillarity phenomena by various testing methods (classical sessile drop, pendant drop, dispensed drop, sandwiched drop, transferred drop, drop sucking, drop pushing, drop smearing or rubbing).</p> <p>A more detailed description of the experimental complex is shown elsewhere:</p> <p>Sobczak N, Nowak R, Radziwill W, Budzioch J, Glenz A, Experimental complex for investigations of high temperature capillarity phenomena, Mater Sci Eng A 495 (2008) 43–49</p>
Gathered datasets of cardiorespiratory activity by using the inductive coupling with single coil together with reference waveforms of ECG and spirometer
<p>Hereby the datasets, that were gathered during the experiments of monitoring the cardiorespiratory activity by using the inductive coupling together with the reference waveforms of ECG and spirometer, are published.:<br> Waveforms of inductive monitoring.zip<br> Reference waveforms of ECG and spirometer.zip</p> <p>A single volunteer participated in the experiments: healthy male, 33 years old, height of 183 cm and weight of 70 kg.</p> <p>The results are gathered from 12 positions lying around the thorax in imaginary horizontal level, approximately 10 mm below xiphisternal joint. The central position on front side of thorax is designated according to xiphisternum. The central position on front side of thorax is designated according to backbone.</p> <p>The datasets are available in .txt format, and are in separate .zip packages for inductive monitoring and reference waveforms. The correcponding dataset for every position can de identified by position number in both datasets. The signals are raw signals, not processed in any way.</p> <p>In the case of inductive monitoring the change variation of equivalent parallel resonance impedance (Rp) is shown. Concerning the reference waveforms, in the case of ECG, the result is shown in voltages (V). The reference data of respiration (gathered by using spirometer) is available in the form of two sets of digital pulses (0-s and 1-s). These pulses are representing the inhalation and exhalation i.e. either the rotor of the spirometer turns in one way or another. According to the frequency of the pulses, depending on the air flowing speed, the respiratory waveform can be constructed.</p>
Fully-coupled pressure-based finite-volume framework for the simulation of fluid flows at all speeds in complex geometries (Supporting Data)
<p>This data accompanies the paper "Fully-coupled pressure-based finite-volume framework for the simulation of fluid flows at all speeds in complex geometries", published in Journal of Computational Physics (2017), http://dx.doi.org/10.1016/j.jcp.2017.06.009.</p>
Data Release for Retreat and Regrowth of the Greenland Ice Sheet During the Last Interglacial as Simulated by the CESM2-CISM2 Coupled Climate–Ice Sheet Model
<p>CESM2 and CISM2 data files for figures in "Retreat and Regrowth of the Greenland Ice Sheet During the Last Interglacial as Simulated by the CESM2-CISM2 Coupled Climate–Ice Sheet Model" (Sommers et al., 2021, Paleoceanography and Paleoclimatology)</p>
Main output data used in "Coupling the regional climate MAR model with the ice sheet model PISM mitigates the melt-elevation positive feedback" (Delhasse et al., 2024)
<p>Outputs used in:</p> <p><em>Delhasse, A., Beckmann, J., Kittel, C., and Fettweis, X.: Coupling MAR (Modèle Atmosphérique Régional) with PISM (Parallel Ice Sheet Model) mitigates the positive melt–elevation feedback, The Cryosphere, 18, 633–651, https://doi.org/10.5194/tc-18-633-2024, 2024.</em></p> <p>MAR-PISM coupling experiments outputs over 1991-2200. The main experiments are:</p> <ul> <li>MAPI-2w: 2-way coupling, consideration <em>online</em> of the melt-elevation feedback (evolving topography in MAR).</li> <li>MAPI-1w: 1-way coupling, consideration of the melt-elevation feedback only with the <em>offline</em> correction (Franco <em>et al.</em>, 2012) of the MAR outputs (fixed topography in MAR).</li> <li>MAPI-0w: 0-way coupling, no consideration of the melt-elevation feedback (fixed topography in MAR and no correction during interpolation).</li> </ul> <p>MAR files contain yearly SMB (surface mass balance) and ST (surface temperature) interpolated (with correction) on the PISM-4.5km grid. Gradients used for the correction of the melt-elevation feedback are also given for both variables. SMB and ST are the two required MAR fields to couple MAR with PISM. </p> <p>PISM files contain yearly ice thickness (THK) and ice mask (MASK) as simulated by PISM for each of the three experiments. </p> <p>The MAR code used in this dataset is tagged as v3.11.3 on https://gitlab.com/Mar-Group/MARv3# (last access: 23 January 2024) (MARTeam, 2024). The PISM code used is tagged as PISMv1.2.2 on <a href="https://github.com/pism/pism/releases/tag/v1.2.2" target="_blank" rel="noopener noreferrer">https://github.com/pism/pism/releases/tag/v1.2.2</a> (last access: 23 January 2024). Other coupling scripts are also available upon request by email (<a href="mailto:alison.delhasse@uliege.be" target="_blank" rel="noopener noreferrer">alison.delhasse@uliege.be</a>).</p> <p>If you need other variables from MAR or PISM, send us an email (alison.delhasse@uliege.be, johanna.beckmann@monash.edu) and we will be glad to help you. We will also be happy to share the scripts we have developed to analyse the outputs and make the figures in this paper if needed. Please cite the paper if you use these MAR-PISM outputs.<br><br>Data usage notice:</p> <p>If you use any of these results, please acknowledge the work of the people involved in producing them. Acknowledgments should be similar to the one below that contains information related to MAR and PISM. To document MAR scientific impact and enable ongoing support of the model, users are likely encouraged to contact me to add their works to the list of MAR-related publications. </p> <p>"We thank A. Delhasse and J. Beckmann, as well as the MAR and PISM teams which make available the model outputs. We also thank agencies (F.R.S - FNRS, CÉCI, and the Walloon Region) that provided computational resources for MAR-PISM simulations. "</p> <p>You should also refer to and cite the following paper in its latest version:</p> <p><em>Delhasse, A., Beckmann, J., Kittel, C., and Fettweis, X.: Coupling MAR (Modèle Atmosphérique Régional) with PISM (Parallel Ice Sheet Model) mitigates the positive melt–elevation feedback, The Cryosphere, 18, 633–651, https://doi.org/10.5194/tc-18-633-2024, 2024.</em></p> <p>Reference</p> <p><em>Franco, B., Fettweis, X., Lang, C., and Erpicum, M.: Impact of spatial resolution on the modelling of the Greenland ice sheet surface mass balance between 1990–2010, using the regional climate model MAR, The Cryosphere, 6, 695–711, https://doi.org/10.5194/tc-6-695-2012, 2012.</em></p> <p><em>MARTeam: MARv3.11, GitLab [data set], <a href="https://gitlab.com/Mar-Group/MARv3" target="_blank" rel="noopener">https://gitlab.com/Mar-Group/MARv3#</a> (last access: 28 May 2022), 2021.</em></p>
Coupled gene expression on single DNA molecules (raw single-molecule movies + description)
<p>Raw single-molecule movies and corresponding experimental details in description file</p>
Wavelength-division multiplexing optical Ising simulator enabling fully programmable spin couplings and external magnetic fields
<p>Recently various physical systems have been proposed for modeling Ising spin Hamiltonians appealing to solve combinatorial optimization problems with remarkable performance. However, how to implement arbitrary spin-spin interactions is a critical and challenging problem in various kinds of unconventional Ising machines. Here we propose a general gauge transformation scheme to enable arbitrary spin-spin interactions and external magnetic fields as well, by decomposing an Ising Hamiltonian into multiple Mattis-type interactions. Based on this scheme, a wavelength-division multiplexing spatial photonic Ising machine (SPIM) is developed to show the programmable capability of general spin coupling interactions. We exploit the wavelength-division multiplexing SPIM to simulate three spin systems: pm J models, Sherrington-Kirkpatrick models, and only locally connected J1/J2 models and observe the phase transitions among the spin-glass, the ferromagnetic, the paramagnetic and the stripe-antiferromagnetic phases. We also demonstrate the ground state search for solving the Max-Cut problem with the wavelength-division multiplexing SPIM. These results promise the realization of ultrafast-speed and high-power-efficiency Boltzmann sampling of a generalized large-scale Ising model.</p>
On the computation of stable coupled state-space models for dynamic substructuring applications
<p>This paper aims at introducing a methodology to compute stable coupled state-space models for dynamic substructuring applications by introducing two novel approaches targeted to accomplish this task: (a) a procedure to impose Newtons's second law without relying on the use of undamped RCMs (residual compensation modes) and (b) a novel approach to impose stability on unstable coupled state-space models. The enforcement of stability is performed by dividing the unstable model into two different models, one composed by the stable poles (stable model) and the other composed by the unstable ones (unstable model). Then, the poles of the unstable state-space model are forced to be stable, leading to the computation of a stabilized state-space model. If this model is composed by real poles, it should be divided into two different ones, one composed by the pairs of complex conjugate poles and the other composed by the real poles. Afterwards, to make sure that the Frequency Response Functions (FRFs) of the stabilized model well match the FRFs of the unstable model, the Least-Squares Frequency Domain (LSFD) method is exploited to update the modal parameters of the stabilized model composed by the pairs of complex conjugate poles. The validity of the proposed methodologies is presented and discussed by exploiting experimental data. Indeed, by exploiting the FRFs of a real system, accurate state-space models respecting Newton's second law are computed. Then, decoupling and coupling operations are performed with the identified state-space models, no matter the models resultant from the decoupling/coupling operations are unstable. Stability is then imposed on the computed unstable coupled model by following the approach proposed in this paper. The methodology proved to work well on these data. Moreover, the paper also shows that the coupled state-space models obtained using this methodology are suitable to be exploited in time-domain analyses and simulations.</p>
Raw data for "Lithium carbonate-promoted mixed rare earth oxides as a generalized strategy for oxidative coupling of methane with exceptional yields"
<p>Raw data for "Lithium carbonate-promoted mixed rare earth oxides as a generalized strategy for oxidative coupling of methane with exceptional yields"</p>
Monsoon Mission Coupled Forecast System Version 2.0: Model Description and Indian Monsoon Simulations Figures
<p>Monsoon Mission Coupled Forecast System Version 2.0: Model Description and Indian Monsoon Simulations Figures</p>
ROcD-nGoM: A River-Ocean Coupled Database for the Northern Gulf of Mexico
<p>This is a River-Ocean Coupled Database for the Northern Gulf of Mexico. This database contains river chemistry and discharge (Q) data for 54 rivers, streams, and bayous entering the nGoM. It has both the raw observations (ConcAve) as well as a daily concentration (ConcDay) and flux estimations from the USGS WRTDS model. The database also contains 17 chemical and physical ocean parameters from the Gulf of Mexico Coastal Ocean Observing System (GCOOS) and the MODIS and seaWiFS satellite sensors.</p><p>The data is provided in two formats: (1) raw with outlier flags and (2) cleaned and time averaged. The raw format provides the daily concentrations of the USGS and GCOOS data and monthly data for the satellite product. There are two outlier flags for parameters which indicate if the value is in the 0.5 percentile of high or low concentrations of all the data. They are called "outlier_99.5" for the 0.5% of data on the high end of the distribution and "outlier_0.05" for the 0.5% of the data on the low end of the distribution. The USGS river data has outlier flags for "ConcAve", "ConcDay", and "Q". The ConcDay range designation is defined by the distribution of the actual raw measurements (ConcAve). The ocean data has outlier flags for each parameter except wind/current direction. The time averaged format includes monthly, seasonal, and yearly values of all the parameters. These values are calculated following the removal of the outliers in the raw data.</p><p>The R script used to create the river portion of the database is also included as ROcDnGoM_river_script.</p>
Dynamically coupled kinetic chemistry in brown dwarf atmospheres - II. Cloud and chemistry connections in directly imaged sub-Jupiter exoplanets
<p>Gifs of GCM output from the paper, model is Teff = 1000 K, log g = 3, M/H = 1. </p><p>The atmos_daily_2980.nc file contains the GCM NETCDF output at 2080 days.</p>
Source data for the publication "Longitudinal coupling between a Si/SiGe double quantum dot and an off-chip TiN resonator"
<p>This repository contains data reported in the publication "Longitudinal coupling between a Si/SiGe double quantum dot and an off-chip TiN resonator."</p>
Data for the article "Capacitive coupling of coherent quantum phase slip qubits to a resonator"
<p>Zip file containing data for the article "Capacitive coupling of coherent quantum phase slip qubits to a resonator" published in the New Journal of Physics. The data used in the figures and tables are saved in separate txt files.</p>
Dataset for "The effects of increasing coupling frequency and considering skin temperature on the simulation by CAS-ESM2"
<p>This dataset is the simulation for the manuscript "The effects of increasing coupling frequency and considering skin temperature on the simulation by CAS-ESM2" submitted to JGR-Atmospheres.</p>
Lasing of moiré trapped MoSe2/WSe2 interlayer excitons coupled to a nanocavity
<p>Moiré trapped interlayer excitons (IXs) in heterobilayer transition metal dichalcogenides currently attract strong interest due to their potential for non-classical light generation, coherent spin-photon interfaces and exploring novel correlated phases of electrons. Here, we report lasing of moiré trapped IXs by integrating a pristine hBN-encapsulated MoSe<sub>2</sub>/WSe<sub>2</sub> heterobilayer in a high-Q (> 104) nanophotonic cavity. We control the detuning between the IX line and the cavity mode with a magnetic field and measure the dipolar coupling strength to the cavity mode to be 78 ± 4 μeV, fully consistent with the 82 μeV predicted by theory. The emission from the cavity mode shows clear threshold-like behavior. We observe a superlinear power dependence accompanied by a narrowing of the linewidth as the distinct features of lasing. The onset and prominence of these threshold-like behaviors are significant at resonance whilst weak off-resonance. Our results show that a lasing transition can be induced in interacting moiré trapped IXs with macroscopic coherence extending over the lengthscale of the cavity mode. Such systems raise interesting perspectives for low-power switching and synaptic nanophotonic devices using 2D materials.</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.