Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
175
datasets available to search
ShareScore release 0.9.0
Dataset results
175 results for “Wind Turbine”
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>
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>
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>
Data set for journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades' volume2
<p>The description in the read me file is updated here. </p><p>This data set includes all the related raw data about the journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades'<br>1.The raw data of thick adhesive double cantilever beam tests under quasi-static loading, such as the DIC pictures and the load-displacement curve. The strain energy release curve and load-displacement prediction curve are also included. All the data excepts the DIC pictures is within one Excel file for each sample.<br>2.Data for tensile testing (composite and epoxy adhesive).<br>Volume 1 includes the data of UN1,UN2,GN2 and GL2-L.<br>Volume 2 includes the data of 5-GL2-M SAMPLE1.<br>Volume 3 includes the data of 5-GL2-M SAMPLE2 AND 3.<br>Volume 4 includes the data of 5-GL2-M SAMPLE4 and 6-GL2-H SAMPLE 1 and 2.<br>Volume 5 includes the data of 6-GL2-H SAMPLE3 and 4.<br>Volume 6 includes the tensile testing data. </p>
Data set for journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades' volume1
<p>The description in the read me file is updated here. </p><p>This data set includes all the related raw data about the journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades'<br>1.The raw data of thick adhesive double cantilever beam tests under quasi-static loading, such as the DIC pictures and the load-displacement curve. The strain energy release curve and load-displacement prediction curve are also included. All the data excepts the DIC pictures is within one Excel file for each sample.<br>2.Data for tensile testing (composite and epoxy adhesive).<br>Volume 1 includes the data of UN1,UN2,GN2 and GL2-L.<br>Volume 2 includes the data of 5-GL2-M SAMPLE1.<br>Volume 3 includes the data of 5-GL2-M SAMPLE2 AND 3.<br>Volume 4 includes the data of 5-GL2-M SAMPLE4 and 6-GL2-H SAMPLE 1 and 2.<br>Volume 5 includes the data of 6-GL2-H SAMPLE3 and 4.<br>Volume 6 includes the tensile testing data. </p>
Data set for journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades' volume6
<p>The description in the read me file is updated here. </p><p>This data set includes all the related raw data about the journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades'<br>1.The raw data of thick adhesive double cantilever beam tests under quasi-static loading, such as the DIC pictures and the load-displacement curve. The strain energy release curve and load-displacement prediction curve are also included. All the data excepts the DIC pictures is within one Excel file for each sample.<br>2.Data for tensile testing (composite and epoxy adhesive).<br>Volume 1 includes the data of UN1,UN2,GN2 and GL2-L.<br>Volume 2 includes the data of 5-GL2-M SAMPLE1.<br>Volume 3 includes the data of 5-GL2-M SAMPLE2 AND 3.<br>Volume 4 includes the data of 5-GL2-M SAMPLE4 and 6-GL2-H SAMPLE 1 and 2.<br>Volume 5 includes the data of 6-GL2-H SAMPLE3 and 4.<br>Volume 6 includes the tensile testing data. </p>
Data set for journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades' volume4
<p>The description in the read me file is updated here. </p><p>This data set includes all the related raw data about the journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades'<br>1.The raw data of thick adhesive double cantilever beam tests under quasi-static loading, such as the DIC pictures and the load-displacement curve. The strain energy release curve and load-displacement prediction curve are also included. All the data excepts the DIC pictures is within one Excel file for each sample.<br>2.Data for tensile testing (composite and epoxy adhesive).<br>Volume 1 includes the data of UN1,UN2,GN2 and GL2-L.<br>Volume 2 includes the data of 5-GL2-M SAMPLE1.<br>Volume 3 includes the data of 5-GL2-M SAMPLE2 AND 3.<br>Volume 4 includes the data of 5-GL2-M SAMPLE4 and 6-GL2-H SAMPLE 1 and 2.<br>Volume 5 includes the data of 6-GL2-H SAMPLE3 and 4.<br>Volume 6 includes the tensile testing data. </p>
Data set for journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades' volume5
<p>The description in the read me file is updated here. </p><p>This data set includes all the related raw data about the journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades'<br>1.The raw data of thick adhesive double cantilever beam tests under quasi-static loading, such as the DIC pictures and the load-displacement curve. The strain energy release curve and load-displacement prediction curve are also included. All the data excepts the DIC pictures is within one Excel file for each sample.<br>2.Data for tensile testing (composite and epoxy adhesive).<br>Volume 1 includes the data of UN1,UN2,GN2 and GL2-L.<br>Volume 2 includes the data of 5-GL2-M SAMPLE1.<br>Volume 3 includes the data of 5-GL2-M SAMPLE2 AND 3.<br>Volume 4 includes the data of 5-GL2-M SAMPLE4 and 6-GL2-H SAMPLE 1 and 2.<br>Volume 5 includes the data of 6-GL2-H SAMPLE3 and 4.<br>Volume 6 includes the tensile testing data. </p>
Data set for journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades' volume3
<p>The description in the read me file is updated here. </p><p>This data set includes all the related raw data about the journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades'<br>1.The raw data of thick adhesive double cantilever beam tests under quasi-static loading, such as the DIC pictures and the load-displacement curve. The strain energy release curve and load-displacement prediction curve are also included. All the data excepts the DIC pictures is within one Excel file for each sample.<br>2.Data for tensile testing (composite and epoxy adhesive).<br>Volume 1 includes the data of UN1,UN2,GN2 and GL2-L.<br>Volume 2 includes the data of 5-GL2-M SAMPLE1.<br>Volume 3 includes the data of 5-GL2-M SAMPLE2 AND 3.<br>Volume 4 includes the data of 5-GL2-M SAMPLE4 and 6-GL2-H SAMPLE 1 and 2.<br>Volume 5 includes the data of 6-GL2-H SAMPLE3 and 4.<br>Volume 6 includes the tensile testing data. </p>
Adaptive Contingency Control: Wind Turbine Operation Integrated with Blade Condition Monitoring
We report here on first steps towards integrating systems health monitoring with adaptive contingency controls. In the scenario considered, the adaptive controller receives specific information about damage to a blade and reacts to turbulent conditions where the blade might incur additional damage. The controller uses an observer to determine when the generator set point should be lowered, thereby causing the blades to be pitched at a lower wind speed. The loads on the blades are reduced when the blades are set at larger pitch angles. This is meant to decrease the damage propagation. The adaptive contingency controller can be tuned to find the optimal trade-off between maximized damage suppression and maximized power generation. Future work will address the assessment of blade health in the presence of turbulent wind conditions.
Integrating Systems Health Management with Adaptive Controls for a Utility-scale Wind Turbine
Increasing turbine up-time and reducing maintenance costs are key technology drivers for wind turbine operators. Components within wind turbines are subject to considerable stresses due to unpredictable environmental conditions resulting from rapidly changing local dynamics. Systems health management has the aim to assess the state-of-health of components within a wind turbine, to estimate remaining life, and to aid in autonomous decision-making to minimize damage. Advanced adaptive controls can provide the mechanism to enable optimized operations that also provide the enabling technology for Systems Health Management goals. The work reported herein explores the integration of condition monitoring of wind turbine blades with contingency management and adaptive controls. Results are demonstrated using a high fidelity simulator of a utility-scale wind turbine.
Supporting files for simulations in "Wind fields in Category 1-3 tropical cyclones are not fully represented in wind turbine design standards"
<p>This deposit contains the time-series output from the WRF-LES simulations of five tropical cyclones used in "Wind fields in Category 1-3 tropical cyclones are not fully represented in wind turbine design standards".</p>
wind turbine high-speed shaft driven data set
<p>A commercial wind turbine with a 2 MW power output was installed with a condition monitoring system. Data was collected at 10-minute intervals. The data was sampled at 97656 sps for 6 seconds. Bearing envelop analysis was performed by band passing the signal between 9 to 11 KHz. Welches spectrum was used on the heterodyned signal with a DFT length of 4096, and with an overlap of 2048 points.</p>
Drivers of bat activity at wind turbines advocate for mitigating bat exposure using multicriteria algorithm-based curtailment
<p>data used for the paper</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.