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16 results for “wind selectivity”
Wind Value Literature Selection for End-of-Life Valuation Excel File WP 5.1
<p>Authors from Wind Value, the Re-Wind Network and IEA Wind Task 45 carried out research on methods of processing end-of-life wind turbine blades. This included a structured literature review which selected the literature in the Excel file. Part of this work helps to estimate the value of an end-of-life wind farm contributing to Work Package 5.1 of the Wind Value project. The paper was pubished as Deeney et al. (2025) <a href="https://www.sciencedirect.com/science/article/pii/S1364032125000917?via%3Dihub">End-of-life wind turbine blades and paths to a circular economy</a>, <em>Renewable and Sustainable Energy Reviews. </em></p>
Data from: The influence of wind selectivity on migratory behavioral strategies
Air and water currents affect the timing and energy expenditure of many migratory animals, and therefore selection of favorable currents is important for optimal migratory performance. However, waiting for favorable currents also incurs costs. Here we conduct an optimality analysis to determine how wind selectivity affects three migratory currencies: time, energy, and risk. To describe variation in these metrics under varying degrees of selectivity, we constructed an individual-based model to simulate fall migration of passerines across eastern North America, allowing birds to use different thresholds of wind profit as the criterion for daily departure. A gradient of thresholds were tested across a range of realistic wind currents, from initiating flights only on nights when winds were directed in their preferred migratory direction (highly selective), to flying under most wind conditions (low selectivity). Our analysis indicated that relative mortality risk was lowest at intermediate selectivity; energy expended during flight was least for the most selective individuals; and of those that successfully completed migration, time spent on migration was lowest for the least selective birds. We solved for the optimal range of wind selectivity and show that this departure criterion alone can produce a tradeoff between time and energy that has been seen in many other behavioral contexts. While we solved for optima using some conditions specific to eastern North America, we show that variation in wind selectivity at departure can produce migratory behaviors that mimic the classic "time-minimizer" and "energy-minimizer" strategies developed from measurements of wild birds across multiple continents.
A dataset of proton kinetic-scale current sheets selected at 1 AU using Wind spacecraft measurements
<p>This is a dataset of proton kinetic-scale current sheets selected at 1 AU using 11 Samples/s magnetic field measurements aboard Wind spacecraft. The current sheets were selected using Partial Variance Increments method. The detailed analysis of this dataset can be found at https://arxiv.org/abs/2112.15256v1</p> <p>The first column gives a CS index number, the second panel gives a date in the year/month/day format, the last two columns give <br> temporal positions of the left and right boundaries of a CS. These moments of times are in seconds from the beginning of the day indicated in the second column. </p>
Lesser prairie-chicken habitat selection and survival relative to a wind energy facility located in a fragmented landscape
<p>The overlap of renewable wind energy with the range of lesser prairie-chickens (<em>Tympanuchus</em> <em>pallidicinctus</em>) raises concern of population declines and habitat loss. Lesser prairie-chickens are adversely affected by landscape change, however, it is unclear how this species may respond to wind energy development. Therefore, managers and wind energy developers are currently tasked with making management or siting recommendations of future wind energy facilities based on lesser prairie-chicken behavioral responses to other forms of anthropogenic development or responses of other grouse species to wind energy development. The current strategy of siting wind turbines in cultivated cropland within lesser prairie-chicken range has not been evaluated for its effectiveness at minimizing potential adverse impacts. We captured 60 female and 66 male lesser prairie-chicken from leks located along a gradient from wind turbines in southern Kansas, USA, from 2017–2021. Over the study period, we collected lesser prairie-chicken location data and demographic information to evaluate resource selection, movements, and demography relative to environmental predictors and metrics associated with the wind energy facility. Lesser prairie-chickens used habitats in close proximity to wind turbines, provided that turbine density was low; however, avoidance associated with cultivated cropland appeared to be more predictive than the presence of wind turbines. We observed movement between turbines suggesting that wind turbines did not act as a barrier to local movements. We did not detect an influence of wind turbines on nest success or individual survival during breeding or non-breeding periods, a relationship that is consistent among multiple grouse species using habitats near wind energy infrastructure. Additional research is necessary to evaluate impacts associated with wind energy development in intact lesser prairie-chicken habitats, but placing wind turbines in cultivated croplands or other fragmented landscapes appears to be an important siting measure when considering wind energy facility siting across the lesser prairie-chicken range.</p>
Data from: The influence of wind selectivity on migratory behavioral strategies
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Lesser prairie-chicken habitat selection and survival relative to a wind energy facility located in a fragmented landscape
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Resource selection and survival of plains sharp-tailed grouse at a wind energy facility
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Supplementary material for: "On the selection of time-varying scenarios of wind and ocean waves: methodologies and applications in the North Tyrrhenian Sea"
<p>All the routines to perform the clustering of the hindcast data have been developed in Matlab.<br> The code Case_study.m allows to reproduce the examples outlined in chapter 3.2, Figs. 15-16 of the manuscript:</p> <p>"On the selection of time-varying scenarios of wind and ocean waves: methodologies and applications in the North Tyrrhenian Sea"</p> <p>Submitted to "Ocean Modelling" - Elsevier, and currently is available online.</p> <p>The code needs to be fed with the data stored into the "hind_param.mat" and "clusters.mat" files, attached to this repo.<br> Please note that the wave parameters stored into "hind_param.mat" cannot be employed for commercial purposes.<br> In case they are meant to be used for research, reference has to be made to:</p> <p>- Mentaschi, L., Besio, G., Cassola, F., & Mazzino, A. (2013).<br> Developing and validating a forecast/hindcast system for the Mediterranean Sea.<br> Journal of Coastal Research, 65(sp2), 1551-1556.</p> <p>- Mentaschi, L., Besio, G., Cassola, F., & Mazzino, A. (2015).<br> Performance evaluation of Wavewatch III in the Mediterranean Sea.<br> Ocean Modelling, 90, 82-94.</p> <p>For further inquires about the hindcast data, please contact meteocean@dicca.unige.it.</p> <p>Finally, results of the sensitivity analysis of CE and W2 with respect to varying number of clusters are stored into the<br> zip files "CE.zip" and "W2.zip", respectively (Figs. from 2 to 8 of the submitted manuscript).<br> Each *dat file refers to a particular set of the data inital conditions (see manuscript), and it is labeled as follows:<br> "*_[FIRST YEAR OF TRAINING]_[LAST YEAR OF TRAINING]_[FIRST YEAR OF VALIDATION]_[LAST YEAR OF VALIDATION]_<br> [TOTAL NUMBER OF TIME STEPS]_[TIME SHIFT BETWEEN SUCCESSIVE SCENARIOS]_*_[INITIAL TIME RESOLUTION]_*_<br> [VARIABLES EMPLOYED].dat"</p> <p>For further information, please contact Giulia Cremonini at:<br> giulia.cremonini@edu.unige.it</p>
Data from: Wind- and rain-induced vibrations impose different selection pressures on multimodal signaling
The world is a noisy place, and animals have evolved a myriad of strategies to communicate in it. Animal communication signals are, however, often multimodal; their components can be processed by multiple sensory systems, and noise can thus affect signal components across different modalities. We studied the effect of environmental noise on multimodal communication in the túngara frog (Physalaemus pustulosus). Males communicate with rivals using airborne sounds combined with call-induced water ripples. We tested males under control as well as noisy conditions in which we mimicked rain- and wind-induced vibrations on the water surface. Males responded more strongly to a multimodal playback in which sound and ripples were combined, compared to a unimodal sound-only playback, but only in the absence of rain and wind. Under windy conditions, males decreased their response to the multimodal playback, suggesting that wind noise interferes with the detection of rival ripples. Under rainy conditions, males increased their response, irrespective of signal playback, suggesting that different noise sources can have different impacts on communication. Our findings show that noise in an additional sensory channel can affect multimodal signal perception and thereby drive signal evolution, but not always in the expected direction.
Data from: Divergent selection on the biomechanical properties of stamens under wind and insect pollination
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Data from: Wind- and rain-induced vibrations impose different selection pressures on multimodal signaling
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Data from: Sex-specific selection on plant architecture through 'budget' and 'direct' effects in experimental populations of a wind-pollinated herb
Sexual selection may contribute to the evolution of plant sexual dimorphism by favoring architecture traits that improve pollen dispersal to mates in males. In both sexes, larger individuals may be favored if large size allows the allocation of more resources to gamete production (a 'budget' effect of size). In wind-pollinated plants, large size may also benefit males if it allows them to liberate pollen from greater heights, fostering its dispersal (a 'direct' effect of size). To assess these effects and their implications for trait selection, we measured selection gradients on plant morphology in both males and females, as well as pollen production and dispersal in males, of the wind-pollinated dioecious herb Mercurialis annua. In two separate experimental common gardens established at different densities, selection strongly favored plants dispersing their pollen further. Selection for pollen production was observed in the high-density garden only and was weak. In addition, male morphologies associated with increased mean pollen dispersal differed between the two gardens as elongated branches were favored in the high-density garden while shorter plants with longer peduncles bearing inflorescences were advantaged the low-density garden. Larger females were selected in both gardens. Our results point to the importance of selection on male traits that affect pollen dispersal, and to a lesser extent pollen production.
Data from: Temperature-related natural selection in a wind-pollinated tree across regional and continental scales
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Data from: Sex-specific selection on plant architecture through 'budget' and 'direct' effects in experimental populations of a wind-pollinated herb
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Data from: A breath of fresh air in the foraging theory: the importance of wind for food size selection in a central place forager
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NSCAT High Resolution R-MGDR, Selected Ocean Wind Vectors (JPL)
The NASA Scatterometer (NSCAT) Level 2.5 high-resolution reduced MGDR contains only wind vector data (sigma-0 is excluded) in 25 km wind vector cell (WVC) swaths which contain daily data from ascending and descending passes. Wind vectors are accurate to within 2 m/s (vector speed) and 20 degrees (vector direction). Wind vectors are not considered valid in rain contaminated regions; rain flags and precipitation information are not provided. Data is flagged where measurements are either missing or ambiguous. In the presence of land or sea ice winds values are set to 0. Wind vectors are processed using the NSCAT-2 geophysical model function.
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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)
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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.