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274 results for “wakes”
Data Supplement for 'Curled Wake Development of a Yawed Wind Turbine at Turbulent and Sheared Inflow' - Wind Energy Science Journal
<p>Data Supplement for 'Curled Wake Development of a Yawed Wind Turbine at Turbulent and Sheared Inflow' - Wind Energy Science Journal</p> <p>This database contains the measurement using a model wind turbine with 0.6m diameter(D) in a wind tunnel. A short-range Lidar WindScanner facilitated mapping the wake with a high spatial and temporal resolution in vertical, cross-stream planes at different downstream locations and in a horizontal plane at hub height.</p> <p>The measurement campaign was conducted in the large wind tunnel at ForWind-University of Oldenburg. The wind tunnel has a test section cross-section with the dimensions of 3m x3m. For this study three movable test section elements of 6m length were attached for a total enclosed length of 18m. The roof of the test section was adjusted to compensate for boundary layer growth to achieve a zero pressure gradient for the target wind speed of the experiments, nominally 7.5m/s, with an empty tunnel with no grid or turbine installed. The three-bladed MoWiTO 0.6 wind turbine model(Schottler et al.(2016)), with a hub height (h) of 0.77m and a diameter of 0.58m was placed at a distance of 2.4D downstream of the test section inlet, where the distance was measured to the centre of the rotor. In addition, the distance between the rotor center and the tower center is 110mm.<br> The flow blockage, based on rotor swept area and tower flow-facing area, was 2.7%. The wind turbine controller is based on the torque of the generator (Petrovi ́c et al. (2018)) leading to a tip speed ratio of 5.7 at the operational point during non-misaligned cases with no grid. More information can be found in the paper.</p> <p>The folder contains 12 unique .mat files each containing a matlab structure. The matlab structure conatins the vertical and horizontal scan for each inflow and operational condition:<br> With the upstream turbine installed:<br> - Yaw0_Uniform_NoGrid<br> - 1D, 2D, 3D, 5D, 13D, 16D, Horizontal<br> - Yaw30_Uniform_NoGrid<br> - 1D, 2D, 3D, 5D, 13D, 16D, Horizontal<br> - Yawneg30_Uniform_NoGrid<br> - 1D, 2D, 3D, 5D, 13D, 16D, Horizontal</p> <p> - Yaw0_Uniform_PassiveGrid<br> - 1D, 2D, 3D, 5D, 7D, 10D, Horizontal<br> - Yaw30_Uniform_PassiveGrid<br> - 1D, 2D, 3D, 5D, 7D, 10D, Horizontal<br> - Yawneg30_Uniform_PassiveGrid<br> - 1D, 2D, 3D, 5D, 7D, 10D, Horizontal </p> <p> - Yaw0_BoundaryLayer_PassiveGrid<br> - 1D, 2D, 3D, 5D, 7D, 10D, Horizontal<br> - Yaw30_BoundaryLayer_PassiveGrid<br> - 1D, 2D, 3D, 5D, 7D, 10D, Horizontal<br> - Yawneg30_BoundaryLayer_PassiveGrid<br> - 1D, 2D, 3D, 5D, 7D, 10D, Horizontal </p> <p>Without the upstream turbine installed:<br> - NoTurbine_Uniform_NoGrid<br> - 1D, 2D, 3D, 5D, 13D, 16D<br> - NoTurbine_Uniform_PassiveGrid<br> - 0D, 1D, 2D, 3D, 5D, 7D, 10D<br> - NoTurbine_BoundaryLayer_PassiveGrid<br> - 0D, 1D, 2D, 3D, 5D, 7D, 10D </p> <p>Within each substructure the following parameters are provided:<br> - v_los [m/s] ----------> Line of sight velocity<br> - sigma [m/s] ----------> Spectrum width<br> - x_Global_frame [m] ---> x-coordinate referenced at the lower grid midpoint<br> - y_Global_frame [m] ---> y-coordinate referenced at the lower grid midpoint<br> - z_Global_frame [m] ---> z-coordinate referenced at the lower grid midpoint<br> - xx [m] ---------------> Grid of the x-coordinate referenced at the lower grid midpoint<br> - yy [m] ---------------> Grid of the y-coordinate referenced at the lower grid midpoint<br> - zz [m] ---------------> Grid of the z-coordinate referenced at the lower grid midpoint<br> - uu [m/s] -------------> Horizontal wind speed at the position of the gridded coordinates, these data have been interpolated onto the grid<br> </p> <p>When using this database please reference to the journal paper.</p> <p>All data has been included without warranty, express or implied.</p> <p>For further questions, please contact the corresponding author.<br> </p>
WAKE UP AND LIVE - ALEXIS KARPOUZOS
<p>The <a href="https://psychology.fandom.com/wiki/Wisdom">poetic</a> thought of Alexis karpouzos is a expressions of soul's inner experiences, expression of universality. The inspiring visual images and the <a href="https://psychology.fandom.com/wiki/Symbolic_anthropology">symbolic</a> use of <a href="https://psychology.fandom.com/wiki/Language">language</a> offer a description of elevating experiences of consciousness, a glimpse of higher worlds. The philosophy of alexis karpouzos speak to the human experience from a universal perspective, trancending all <a href="https://psychology.fandom.com/wiki/Religions_of_the_world">religions</a>, cultural and national boundaries. Using vivid images and a direct <a href="https://psychology.fandom.com/wiki/Language_development">language</a> that speaks to the <a href="https://psychology.fandom.com/wiki/Heart">heart,</a> his philosophy evokes a sense of deep <a href="https://psychology.fandom.com/wiki/Communication_theory">communication</a> with the <a href="https://psychology.fandom.com/wiki/Collective_unconscious">collective unconscious</a>, a sense of connection to all the creatures of the world, compassion for others, admiration for the beauty of nature, reverence for all life, and an abiding faith in the invisible touch of world. <strong>Alexis karpouzos</strong> thoughts are often terse and paradoxical, challenging us to to break out of the box of limiting beliefs and see things from a new perspective. Above all, alexis karpouzos continually calls to us to wake up and exlpore the mysteries within our own selves, i.e the mysteries of <a href="https://psychology.fandom.com/wiki/Universe">universe</a>.</p>
Wake vortices and dissipation in a tidally modulated flow past a three-dimensional topography
<p>LES simulation data of tidally modulated flow past an abyssal hill. Data used in the figures are available</p>
NREM sleep EEG and wake ERP summary: The first wave of the Global Research Initiative on the neurophysiology of schizophrenia (GRINS)
<p>Motivated by the potential of objective neurophysiological markers to index thalamocortical function in patients with severe psychiatric illnesses, we comprehensively characterized key NREM sleep parameters across multiple domains, their interdependencies, and their relationship to waking event-related potentials and symptom severity. In 72 schizophrenia (SCZ) patients and 58 controls, we confirmed a marked reduction in sleep spindle density in SCZ and extended these findings to show that fast and slow spindle properties were largely uncorrelated. We also describe a novel measure of slow oscillation and spindle interaction that was attenuated in SCZ. The main sleep findings were replicated in a demographically distinct sample, and a joint model, based on multiple NREM components, statistically predicted disease status in the replication cohort. Although also altered in patients, auditory event-related potentials elicited during wake were unrelated to NREM metrics. Consistent with a growing literature implicating thalamocortical dysfunction in SCZ, our characterization identifies independent NREM and wake EEG biomarkers that may index distinct aspects of SCZ pathophysiology and point to multiple neural mechanisms underlying disease heterogeneity. This study lays the groundwork for evaluating these neurophysiological markers, individually or in combination, to guide efforts at treatment and prevention as well as identifying individuals most likely to benefit from specific interventions.</p>
Figures data from papers "Breakdown of the velocity and turbulence in the wake of a wind turbine", parts 1 and 2
<p>This python file makeFigure.py along with the .json files in folder Data/ allows to draw pictures corresponding to the articles "Breakdown of the velocity and turbulence in the wake of a wind turbine" - Part 1 and Part 2 published in Wind Energy Science. The .sh file makeFolders selects and separate the figures needed for the two parts.</p> <p>Slightly more informations are available in the data compared to the article, due to lack of space. In particular, one can found all the planes data from 1 to 8D downstream (instead of only 1D, 5D and 8D) and some data for the unstable and stable cases that were only shown for the neutral case in the paper.</p> <p><br> Do not hesitate to contact me if more informations are needed.</p>
Transcription feedback dynamics in the wake of cytoplasmic mRNA degradation shutdown
<p>In the last decade, multiple studies demonstrated that cells maintain a balance of mRNA production and degradation, but the mechanisms by which cells implement this balance remain unknown. Here, we monitored cells’ total and recently-transcribed mRNA profiles immediately following an acute depletion of Xrn1—the main 5′-3′ mRNA exonuclease—which was previously implicated in balancing mRNA levels. We captured the detailed dynamics of the adaptation to rapid degradation of Xrn1 and observed a significant accumulation of mRNA, followed by a delayed global reduction in transcription and a gradual return to baseline mRNA levels. We found that this transcriptional response is not unique to Xrn1 depletion; rather, it is induced earlier when upstream factors in the 5′-3′ degradation pathway are perturbed. Our data suggest that the mRNA feedback mechanism monitors the accumulation of inputs to the 5′-3′ exonucleolytic pathway rather than its outputs.</p>
Vertical wake deflection for floating wind turbines by differential ballast control
<pre>This paper presents a feasibility analysis of vertical wake steering for floating turbines by differential ballast control. This new concept is based on the idea of pitching the floater with respect to the watersurface, thereby achieving a desired tilt of the turbine rotor disk. The pitch attitude is controlled by moving water ballast among the columns of the floater. This study considers the application of differential ballast control to a conceptual 10~MW wind turbine installed on two platforms, differing in size, weight and geometry. The analysis considers: a) the aerodynamic effects caused by rotor tilt on the power capture of the wake-steering turbine and at various downstream distances in its wake; b) the effects of tilting on fatigue and ultimate loads, limitedly to one of the two turbine-platform layouts; and c) for both configurations, the necessary amount of water movement, the time to achieve a desired attitude and the associated energy expenditure. Results indicate that (in accordance with previous research) steering the wake towards the sea surface leads to larger power gains than steering it towards the sky. Limitedly to the structural analysis conducted on one of the turbine-platform configurations, it appears that these gains can be obtained with only minor effects on loads, assuming a cautious application of vertical steering only in benign ambient conditions. Additionally, it is found that rotor tilt can be achieved in the order of minutes for the lighter of the two configurations, with reasonable water ballast movements.Although the analysis is preliminary and limited to the specific cases considered here, results seem to suggest that the concept is not unrealistic, and should be further investigated as a possible means to achieve variable tilt control for vertical wake steering in floating turbines.</pre>
Large-eddy simulation of yawed wind-turbine wakes: comparisons with wind tunnel measurements and analytical wake models
<p>Dataset of the paper "Large-eddy simulation of yawed wind-turbine wakes: comparisons with wind tunnel measurements and analytical wake models" published on Energies [1].</p> <p>[1] Lin, M., & Porté-Agel, F. (2019). Large-eddy simulation of yawed wind-turbine wakes: comparisons with wind tunnel measurements and analytical wake models. <em>Energies</em>, <em>12</em>(23), 4574.</p>
Leviathan Wakes (1st Edition Trade Paperback)
This is the trade-paperback edition of *Leviathan Wakes*, which was written by James S.A. Corey, a pen-name for my friend Ty Franck and and his co-writer Daniel Abraham. I owe a lot to Ty. This book went from being a stand-alone novel, to a trilogy before it was even published. Then, they were asked to expand it to six, then nine. ...then there's that whole TV show thing. If you haven't watched *The Expanse*, you're kinda missing out. Link to the book on Amazon is [HERE](https://www.amazon.com/Leviathan-Wakes-James-Corey-2011-06-15/dp/B01LP2CATK/ref=asap_bc?ie=UTF8) You can hit them up on Twitter [HERE](https://twitter.com/JamesSACorey) As for the model itself, I can do better. With remarkable improvements in photogrammetry software and here on Sketchfab, I think I'll give this another whack. Source: Objaverse 1.0 / Sketchfab
Improvements to the dynamic wake meandering model by incorporating the turbulent Schmidt number
<p>Data to replicate the figures in Brugger, P., Markfort, C., and Porté-Agel, F.: Improvements to the Dynamic Wake Meandering Model by incorporating the turbulent Schmidt number, Wind Energ. Sci. Discuss. [preprint], https://doi.org/10.5194/wes-2023-150, 2023.</p>
Wind tunnel experiments on wind turbine wakes in yaw
<p>This data set contains Laser Doppler Anemometer measurements in the wake behind two different model wind turbines, recorded in a wind tunnel campain at the NTNU in Trondheim. Full plane wake data were recorded, with a focus on the effect of yaw misalignment and inflow turbulence. Please refer to the documentation document for more information.</p>
Dataset for journal JFS: "Near-wake characteristics of rigid and membrane wings in ground effect" 2018 by R.Bleischwitz, R.de Kat, B.Ganapathisubramani
<p>Complete Dataset for Journal of Fluids and Structures publication:</p> <p>"Near-wake characteristics of rigid and membrane wings in ground effect" (2018) by, R.Bleischwitz, R.de Kat, B.Ganapathisubramani<br> Written 01-04-2018<br> by Robert Bleischwitz (robert.bleischwitz@gmail.com)</p> <p>General Comments</p> <p>0.) This specific upload contains the full timeresolved dataset of the JFS-paper (~27GB of timeresolved MATLAB files)</p> <p>1.) The attached time-resolved-data relates to experimental windtunnel measurements on passive membrane wings for MAVs. The data was aquired between 2012-2016 at the University of Southampton, involving Robert Bleischwitz as PhD student, who was supervised by Roeland de Kat and Bharathram Ganapathisubramani.</p> <p>2.) The attached data is given time-resolved and time-synchronised at 800Hz over a imaging-period of 5000 images, involving load measurements via a 6-axis load-cell ATI Nano17 /25N, deformation measurements via Digitial Image Processing (high-speed DIC) and stereo flow measurements via two high-speed cameras (high-speed stereo PIV). </p> <p>3.) More setup and processing details can be found in the paper "Near-wake characteristics of rigid and membrane wings in ground effect" (2018) by the authors R. Bleischwitz, R. de Kat, B. Ganapathisubramani<br> Published in:</p> <p>-Journal of Fluids and Structures: <a href="https://doi.org/10.1016/j.jfluidstructs.2018.03.007">https://doi.org/10.1016/j.jfluidstructs.2018.03.007</a> </p> <p>- University of Southampton: <a href="http://doi.org/10.5258/SOTON/D0461">http://doi.org/10.5258/SOTON/D0461</a> </p> <p>4.) All load/deformation/flow folders contain a README.txt(Use 1st) and Instructions.m (Use 2nd) MATLAB-file, which give further supporting details how to illustrate the time-resolved-data</p> <p>5.) This specific upload contains the full time-resolved dataset, including:</p> <p>-Cases:</p> <p>a.) Rigid and Membrane wings</p> <p>b.) Height of ground(from trailing edge, in referecne to chord length): h/c=2, 0.25 and 0.1</p> <p>c.) Angle-of-attack: 10,15,25deg</p> <p>d.) DATA available (Timeresolved and time-synchronised):</p> <p>-Loads in high speed (10 kHz)</p> <p>-Membrane deformations in high speed(800Hz)</p> <p>-Stereo Flow velocities in wake at high-speed (800Hz)</p> <p><strong><em>Abstract of Journal-publication:</em><br> Wind tunnel measurements are conducted at a Reynolds numbers of Re = 56,000 to examine the characteristics of<br> near-wake vortices of rigid flat-plates and membrane wings from free-flight into ground–effect conditions. Synchronised<br> high-speed load cell measurements, digital image correlation and particle image velocimetry are performed to<br> resolve lift, drag and pitch oscillations simultaneously with membrane deformation and flow dynamics. Flow measurements<br> are acquired in a crossflow-plane, one chord downstream of the trailing-edge, allowing the examination of<br> time evolution of the wake and its relationship to the forces and membrane deformation. Membrane wings are found<br> to delay ground–effect or high angles-of-attack induced tip-vortex break-down and result in larger tip-vortex push-out<br> (beyond the wing span) compared to rigid flat-plate wings. The leading-edge vortex appears to shed with streamwise<br> vorticity close to the root of the wing and this frequency of this shedding is found to match with the dominant frequency<br> observed in membrane fluctuations. In specific resonance conditions, membrane and flow fluctuations are found to<br> correlate well to the fluctuations in loads and moments.</strong></p>
Spanwise cylinder wake hydrodynamics and fish behaviour: Data
<p>Spanwise cylinder wake hydrodynamics and fish behaviour: Data</p> <p>Presents experimental data for the study of the effects of spanwise cylinder hydrodynamics on fish swimming behaviour. The data includes details of the fish and results of from a step velocity test, along with processed ADV measurements in the cylinder wake. </p> <p> </p> <p> </p>
Local wakefulness-like activity of layer 5 cortex under general anaesthesia [Dataset]
<p>These datasets contain the raw electrophysiology recordings analysed in the article "Local wakefulness-like activity of layer 5 cortex under general anaesthesia". Recordings are stored in MATLAB format (.mat). The sampling frequency of the recordings is 16667 Hz in all cases. Further information can be found in the main article.</p>
Wake Effect Dataset
<p>This dataset includes data from six pairs of wind turbines (or, 12 wind turbines in total) and three met masts. The turbine pairs are chosen such that no other turbines except the pair are located within 10 times the turbine's rotor diameter. Such arrangement is to find a pair of turbines that are free of other turbines' wake, so that the wake analysis result can be reasonably attributed to the wake of its pair turbine. The operational data for the six pairs of turbines are taken during roughly a yearlong period between 2010 and 2011. The datasets include wind power output, wind speed, wind direction, air pressure, and temperature, of which air pressure and temperature data are used to calculate air density. The wind power outputs and wind speeds are measured on the turbine, and all other variables are measured at the met masts. The data from Mast 1 are associated with the data for Turbine Pairs 1 and 2, Mast 2 with Pairs 3 and 4, and Mast 3 with Pairs 5 and 6. Figure 8.6 of the <a href="https://aml.engr.tamu.edu/book-dswe/">Data Science for Wind Energy</a> book shows the relative locations of the six pairs of turbines and three met masts.</p>
Data for Nat Comm paper "Complexity of cortical wave patterns of the wake mouse cortex"
<p>Dataset for Nat. Comm. paper "Complexity of cortical wave patterns of the wake mouse cortex"</p>
First Results on Wake Detection in SAR Images by Deep Learning
<p>Dataset compendium from <a href="https://doi.org/10.3390/rs13224573">https://doi.org/10.3390/rs13224573</a>.</p>
Safety of Intravenous Thrombolysis for Wake-up Stroke
ClinicalTrials.gov study NCT01183533. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Sleep in Psychiatric Care (SIP): Treatment for Comorbid Delayed Sleep-Wake Phase Disorder (DSWPD)
ClinicalTrials.gov study NCT05177055. IPD Sharing: YES. Countries: 1. Publications: 1.
Circadian Rhythms and Time Perception in Healthy Adults During Constant Wakefulness
ClinicalTrials.gov study NCT07294781. IPD Sharing: YES. Countries: 1. Publications: 3.
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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)
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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.