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261 results for “Turbine”
Data from: Wind turbine blade shear web disbond detection using rotor blade operational sensing and data analysis
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Data from: A predictive model for improving placement of wind turbines to minimise collision risk potential for a large soaring raptor
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Behavioral patterns of bats at a wind turbine events
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Eagles enter rotor-swept zones of wind turbines at rates that vary by turbine
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PIV data of straight blade and swept blade wind turbine
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The origins of IgA-secreting cells in the acinar structures of the nasal turbinates
GEO Series GSE264643. Mus musculus. 19 samples. Type: Expression profiling by high throughput sequencing.
Cultured Neural Progenitors from Nasal Turbinate as a Cellular Model of Neurodevelopmental Component of Schizophrenia Etiology
GEO Series GSE219165. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Isolation of Novel Multipotent Neural Crest-Derived Stem Cells from Adult Human Inferior Turbinate
GEO Series GSE30596. Homo sapiens. 12 samples. Type: Expression profiling by array.
Ectopic germinal centers in the nasal turbinates contribute to B cell immunity to intranasal viral infection and vaccination
GEO Series GSE289606. Mus musculus. 3 samples. Type: Expression profiling by high throughput sequencing.
Gene expression of wild-type C57BL/6 mouse nasal turbinates infected with C2-202 human metapneumovirus (HMPV)
GEO Series GSE305077. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Vortex interaction in the wake of a two- and three-bladed wind turbine
<p>Here, the rotor design specifications + experimental results from the article "Vortex interaction in the wake of a two- and three-bladed wind turbine" (Journal of Physics, Conference Series, EERA Deepwind 2020) authored by Jan Bartl, Thomas H. Hansen, W. Ludwig Kuhn, Franz Mühle and Lars Sætran are documented.</p>
Supplemental Material to Article "Impact of manufacture-induced blade shape distortion on turbine loads and energy yield"
<p>This set supplements the figure data to the article "Impact of manufacture-induced blade shape distortion on turbine loads and energy yield", DOI: .</p>
Supplemental Material to Article "Stress-based assessment of the lifetime extension for wind turbines"
<p>This set supplements the figure data to the article "Stress-based assessment of the lifetime extension for wind turbines", DOI: .</p>
Supplemental Material to Journal Article "Impact of Site-Specific Thermal Residual Stress on the Fatigue of Wind-Turbine Blades"
<p>This set supplements the figure data to the article "Impact of Site-Specific Thermal Residual Stress on the Fatigue of Wind-Turbine Blades", DOI: <a href="https://doi.org/10.2514/1.J059388">10.2514/1.J059388</a>.</p>
Impact of manufacture-induced blade shape distortion on turbine loads and energy yield
<p>A blade shape distortion develops during the manufacturing process. The distortion is defined as the difference between the target blade shape as per the design and the shape under operational temperatures. This initial distortion varies under operational temperatures due to the different thermal coefficients of expansion of the various blade materials. The resulting manufacture-induced distortion and operational temperatures affect the twist angle, the cross-sectional shape, and the sweep of the blade. Young’s modulus of the blade’s raw materials, i.e., the matrix of the fiber-reinforced polymers and the adhesive material, changes during the manufacturing process, complicating the determination of the distortion. This work calculates the shape distortion for a reference temperature on the basis of a thermal stress analysis using a full 3D finite element blade model. It performs an aero-elastic load simulation for two models: one with the target blade shape and one with the distorted shape. The simulation reveals that the turbine with the distorted shape has an energy yield which is 0.5% lower and a lifetime extension of additional 4.4 years.</p> <p>Presentation slides: <a href="https://doi.org/10.5281/zenodo.4058566">10.5281/zenodo.4058566</a><br> Paper: <a href="http://doi.org/10.1088/1742-6596/1618/5/052011">10.1088/1742-6596/1618/5/052011</a></p>
Figures and graphics used in "Optimizing Strength of Shared Anchors in an Array of Floating Offshore Wind Turbines"
<p>All figures and graphics used in tables are included in PDF format here. Instructions on how to reproduce the MATLAB-generated plots (or similar plots) are included in the README of the software package, also cited in the paper.</p>
High-Resolution TURBINE fMRI Dataset 3
<p>Isotropic 0.67 mm visual cortex-slab TURBINE raw dataset 3 (in ISMRMRD format) for "Ultra-High Resolution fMRI at 7T using Radial-Cartesian TURBINE sampling" published in Magnetic Resonance in Medicine.</p> <p> </p>
The fatigue damage evolution in the load-carrying composite laminates of wind turbine blades
<p>Video and data-set behind the figures used in the book chapter:</p> <p>Mikkelsen, LP, The fatigue Damage evolution in the load-carrying composite laminates of wind turbine blades, chapter 16 in “Fatigue life prediction of composites and composite structures”, Edited by A.P. Vassilopoulos, Second edition, Elsevier Ltd, To be published in 2019. <a href="https://doi.org/10.1016/B978-0-08-102575-8.00016-4">https://doi.org/10.1016/B978-0-08-102575-8.00016-4</a>.</p> <p>The files are organised based on the first characters in the filename with fist two numbers and than a "a" for video and "b,c.." for data behind that video. The video have the following link to the figures in the book chapter:</p> <p>Figure 16.19: 03a-Eps05-2-Zoom.mp4 , <a href="https://youtu.be/PynQ0IEyne8">https://youtu.be/PynQ0IEyne8</a><br> Figure 16.21A: 01a-2Dprojection.avi , <a href="https://youtu.be/sr1J_5oc2EE">https://youtu.be/sr1J_5oc2EE</a><br> Figure 16.21B: 02a-Video 3D 360.mpg , <a href="https://youtu.be/riqtI6fARko">https://youtu.be/riqtI6fARko</a><br> Figure 16.25: 11a-Eps05-2.mp4 , <a href="https://youtu.be/RJwfpiiLws0">https://youtu.be/RJwfpiiLws0</a><br> Figure 16.28A: 21a-LFoVexsitu.mp4 , <a href="https://youtu.be/PmUWAI9qfMQ">https://youtu.be/PmUWAI9qfMQ</a><br> Figure 16.28B: 22a-SFoV1G.mp4 ,<a href="https://youtu.be/sFBgVyF1Bfw"> https://youtu.be/sFBgVyF1Bfw</a><br> Figure 16.29: 23a-SFoVGreen.mp4 ,<a href="https://youtu.be/sFBgVyF1Bfw"> </a><a href="https://youtu.be/wJMV9bP5ntw">https://youtu.be/wJMV9bP5ntw</a><br> Figure 16.30: 24a-SFoVRed.mp4 ,<a href="https://youtu.be/sFBgVyF1Bfw"> </a><a href="https://youtu.be/9m1Q0MrzJrY">https://youtu.be/9m1Q0MrzJrY</a><br> Figure 16.31: 25a-RotatingSegmentedDamage.mpg ,<a href="https://youtu.be/sFBgVyF1Bfw"> </a><a href="https://youtu.be/OHPkwwaTUSM">https://youtu.be/OHPkwwaTUSM</a><br> Figure 16.34: 31a-Stained.mpg ,<a href="https://youtu.be/sFBgVyF1Bfw"> </a><a href="https://youtu.be/Sddg0sbzw6w">https://youtu.be/Sddg0sbzw6w</a><br> Figure 16.35: 41a-RLmovie.mpg ,<a href="https://youtu.be/sFBgVyF1Bfw"> </a><a href="https://youtu.be/H7aZrIYjKeQ">https://youtu.be/H7aZrIYjKeQ</a><br> Figure 16.36A: 51a-SFoV-Tension-Compression-T.mpg ,<a href="https://youtu.be/AdsjDkq8QE8"> https://youtu.be/AdsjDkq8QE8</a><br> Figure 16.36B: 52a-SFoV-Tension-Compression-W.mpg , <a href="https://youtu.be/ddSqQnW8jMo">https://youtu.be/ddSqQnW8jMo</a></p>
Large-eddy Simulation of a Wind-turbine Array subjected to Active Yaw Control
<p>Dataset of the paper "Large-eddy Simulation of a Wind-turbine Array subjected to Active Yaw Control" published on Wind Energy Science [1].</p> <p>[1] Lin, M., & Porté-Agel, F. (2022). Large-eddy Simulation of a Wind-turbine Array subjected to Active Yaw Control. <em>Wind Energy Science Discussions</em>, 1-22.</p>
Gas turbine [section 1.4]
<p>Gas turbine</p>
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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.