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607 results for “wind data”

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zenodo28/100

Supporting data 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 three tropical cyclones used in "Wind fields in Category 1-3 tropical cyclones are not fully represented in wind turbine design standards".</p>

openFeb 2024View details →
zenodo28/100

Figure 1 in Validation of Wind Speed Calculated on Satellite Altimetry Data by Measurements on Weather Stations Located Along the White Sea Coast

Figure 1. Maps of the White Sea. Dashed lines show boundaries of the sea and their internal parts (Lebedev et al., 2011).

opencc-by-4.0Nov 2019View details →
zenodo28/100

figure data for Statistical Properties and Distributions of Dayside Whistler-mode Waves Under Various Solar Wind Conditions

<p>Figure dataset saved in csv files with the same binned format as the paper described.&nbsp;</p>

opencc-by-4.0Aug 2024View details →
zenodo28/100

Wind turbine wake flight experiment raw data

<p>Raw data from wind turbine wake flight experiments.</p>

opencc-by-4.0Sep 2024View details →
dryad28/100

Data from: Neighbor effects on tree architecture: functional trade-offs balancing crown competitiveness with wind resistance

1. The architecture of trees is the result of constrained, morphologically plastic growth—constrained by an underlying architectural model embedded in their genome, the structure of which can be significantly altered during growth to match the changing environmental conditions to which the tree is exposed. Here, we examined the hypothesis that crowding from neighbors should cause trees to optimize traits for light competition at the expense of wind resistance, with the reverse being true for trees lacking neighbors. Previous studies have examined the influence of light competition or wind resistance on shaping tree architecture, but few, if any, have simultaneously addressed tradeoffs for optimizing these traits in response to crowding from neighboring trees in forests, as compared to open-grown conditions. 2. We studied the response of tree- and branch-level architectural traits of temperate, broad-leaved, deciduous tree species of differing shade tolerance and wood strength from multiple locations across the northeastern United States. Trees ranged in size (4 to 83 cm diameter at 1.3 m) and crowding conditions (open-grown and forests) and occupied different canopy positions. The open-grown trees represented a null condition, where the lack of neighboring trees to shape architectural traits could be contrasted with the influence of different levels of crowding in forests. 3. Our results show strong evidence for a tree neighborhood-induced convergence of architectural traits across species and conditions, even when trees are growing in urban rather than natural forest conditions. After accounting for crowding, the effects of species and sample location contributed very little to explaining variation in architectural traits. One exception was crown dimensions, for which species-specific differences explained about 15% of the residual variation. 4. Under open-grown conditions, alleviation of light competition caused trees to develop relatively large crowns and branches and a squat growth form suitable to resist greater wind exposure. By contrast, increasing shading from neighboring trees caused forest-grown trees to become increasingly more spindly in the main stem, with slender branches sparsely distributed over a disproportionately large crown volume—presumably to maximize light capture. Though the latter is an intrinsically less wind-stable form, it can be adopted to increase light capture, because neighboring trees reduce exposure to the wind, which should greatly reduce the likelihood of stem breakage or uprooting under critical wind pressures.

opencc-zeroDec 2016View details →
dryad28/100

Data from: A new low-turbulence wind tunnel for animal and small vehicle flight experiments

Our understanding of animal flight benefits greatly from specialized wind tunnels designed for flying animals. Existing facilities can simulate laminar flow during straight, ascending and descending flight, as well as at different altitudes. However, the atmosphere in which animals fly is even more complex. Flow can be laminar and quiet at high altitudes but highly turbulent near the ground, and gusts can rapidly change wind speed. To study flight in both laminar and turbulent environments, a multi-purpose wind tunnel for studying animal and small vehicle flight was built at Stanford University. The tunnel is closed-circuit and can produce airspeeds up to 50 m s−1 in a rectangular test section that is 1.0 m wide, 0.82 m tall and 1.73 m long. Seamless honeycomb and screens in the airline together with a carefully designed contraction reduce centreline turbulence intensities to less than or equal to 0.030% at all operating speeds. A large diameter fan and specialized acoustic treatment allow the tunnel to operate at low noise levels of 76.4 dB at 20 m s−1. To simulate high turbulence, an active turbulence grid can increase turbulence intensities up to 45%. Finally, an open jet configuration enables stereo high-speed fluoroscopy for studying musculoskeletal control in turbulent flow.

opencc-zeroDec 2016View details →
zenodo28/100

Data for 'SPH modelling of wind-companion interactions in eccentric AGB binary systems'

<p>Additional material to "Malfait et al. 2021, SPH modelling of wind-companion interactions in eccentric AGB binary systems": &nbsp;<a href="https://ui.adsabs.harvard.edu/link_gateway/2021A&amp;A...652A..51M/arxiv:2107.01074" target="_blank" rel="noreferrer noopener">arXiv:2107.01074</a></p> <p>This contains input files and final output dumps of the Phantom simulations of this paper, and additional movies of 4 of the simulations.</p> <p>The code used to perform the simulations is available at: <a href="https://github.com/danieljprice/phantom">https://github.com/danieljprice/phantom.</a></p> <p>Splash (<a href="https://github.com/danieljprice/splash">https://github.com/danieljprice/splash</a> ) and Plons (<a href="https://github.com/Ensor-code/plons">https://github.com/Ensor-code/plons</a> ) were used to create figures and plots from this data.</p>

opencc-by-4.0Jul 2021View details →
dryad28/100

The data of COVID-19 and their correlation with wind speed

<p>In 2020 the world was presently burdened with the COVID-19 pandemic. World Health Organization confirms 34,874,744 cases with 1,097,497 deaths (case fatality rate (CFR) 3.1%) were reported in 216 countries. In Indonesia, the number of people who have been infected and the number who have died are approximately 287,008 and 10,740 (CFR 3.7%), respectively, with the most predominant regions being Jakarta (73,700), East Java (43,536) and Central Java (22,440). Many factors can increase the transmission of COVID-19. One of them is wind speed. This data set contains covid-19 data in DKI Jakarta from June 2020 until August 2022 and wind speed in daily power point form. This data can be analyzed to see the correlation between wind speed and the COVID-19 cases.</p>

opencc-zeroDec 2022View details →
zenodo28/100

Figures: The wind farm as a sensor: learning and explaining orographic and plant-induced flow heterogeneities from operational data

<p>Python figures in pickle format</p>

opencc-by-4.0Mar 2023View details →
zenodo28/100

Open Research Data for "A New Framework for Evaluating Model Simulated Inland Tropical Cyclone Wind Fields"

<p>The (1) NOAA GFDL T-SHiELD outputs,&nbsp;(2) processed ASOS data, and (3) observation-based, theory-driven wind profiles data used in the manuscript &quot;A New Framework for Evaluating Model Simulated Inland Tropical Cyclone Wind Fields&quot;.&nbsp;</p>

opencc-by-4.0May 2023View details →
dryad28/100

Wind Data April 2013

Open the record for dataset details and reuse information.

publicJan 2014View details →
dryad28/100

Wind Data April 2013

Open the record for dataset details and reuse information.

publicJan 2014View details →
dryad28/100

Data from: Costs and benefits of non-random seed release for long distance dispersal in wind-dispersed plant species

Open the record for dataset details and reuse information.

publicApr 2018View details →
dryad28/100

Data from: Adaptive strategies in nocturnally migrating insects and songbirds: contrasting responses to wind

Open the record for dataset details and reuse information.

publicJun 2016View details →
dryad28/100

The data of COVID-19 and their correlation with wind speed

Open the record for dataset details and reuse information.

publicDec 2022View details →
dryad28/100

Data from: Temperature-related natural selection in a wind-pollinated tree across regional and continental scales

Open the record for dataset details and reuse information.

publicApr 2011View details →
dryad28/100

Data from: Wind turbine blade shear web disbond detection using rotor blade operational sensing and data analysis

Open the record for dataset details and reuse information.

publicOct 2015View details →
dryad28/100

Data from: A predictive model for improving placement of wind turbines to minimise collision risk potential for a large soaring raptor

Open the record for dataset details and reuse information.

publicNov 2020View details →
dryad28/100

Data from: A new low-turbulence wind tunnel for animal and small vehicle flight experiments

Open the record for dataset details and reuse information.

publicMar 2017View details →
dryad28/100

Data from: Neighbor effects on tree architecture: functional trade-offs balancing crown competitiveness with wind resistance

Open the record for dataset details and reuse information.

publicFeb 2018View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record