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.
274
datasets available to search
ShareScore release 0.9.0
Dataset results
274 results for “wakes”
Wake County public school system bus route data for AY 2023-24
Open the record for dataset details and reuse information.
FarmConners_Single_Partial_Wake
<p>This dataset is a subset of the TotalControl windfarm dataset compiled in the context of FarmConners Wind Farm Control Benchmark project for code comparison. </p> <p>This case aims to investigate the quantities of interest in the single wake behind a normally operating turbine, for a <strong>partially aligned 2-turbine configuration</strong>. It should be noted that the configuration is a subset of a wind farm simulation, <em>i.e.</em> there are additional blockage effects.</p> <p>The python files "plot_cross_sections.py" and "plot_performance.py" are to be used for loading and visualizing the velocity field through turbines stored in "cross_sections_timeseries.h5" and the turbine performance in "turb_performance.h5" respectively. </p> <p>The inflow in this case is a Conventionally Neutral Boundary Layer (CNBL) with a capping inversion of 8K strength at a height of 125 m. The precursor data of the atmospheric boundary layer simulations without any turbines is publicly available in the online zenodo repository at <a href="https://zenodo.org/communities/totalcontrolflowdatabase/">https://zenodo.org/communities/totalcontrolflowdatabase/</a>. The complete datasets for the TotalControl windfarm simulations area available at <a href="https://zenodo.org/communities/totalcontrolwindfarmdatabase/">https://zenodo.org/communities/totalcontrolwindfarmdatabase/</a></p> <p> </p>
FarmConners_Multiple_Full_Wake
<p>This dataset is a subset of the TotalControl windfarm dataset compiled in the context of FarmConners Wind Farm Control Benchmark project for code comparison. </p> <p>This case aims to investigate the quantities of interest in a row of normally operating turbines, for a <strong>fully aligned 8 turbine configuration</strong>. It should be noted that the configuration is a subset of a wind farm simulation, <em>i.e.</em> there are additional blockage effects.</p> <p>The python files "plot_cross_sections.py" and "plot_performance.py" are to be used for loading and visualizing the velocity field through turbines stored in "cross_sections_timeseries.h5" and the turbine performance in "turb_performance.h5" respectively. </p> <p>The inflow in this case is a Conventionally Neutral Boundary Layer (CNBL) with a capping inversion of 4K strength at a height of 250 m. The precursor data of the atmospheric boundary layer simulations without any turbines is publicly available in the online zenodo repository at <a href="https://zenodo.org/communities/totalcontrolflowdatabase/">https://zenodo.org/communities/totalcontrolflowdatabase/</a>. The complete datasets for the TotalControl windfarm simulations area available at <a href="https://zenodo.org/communities/totalcontrolwindfarmdatabase/">https://zenodo.org/communities/totalcontrolwindfarmdatabase/</a></p>
Dataset on the dynamics of shallow wakes in gravel-bed floodplains: results of the field experiments on the Tagliamento River, Italy
<p>Shallow wakes in fluvial environments are hydrodynamic structures produced by in-stream obstructions such as boulders, log jams, patches of riparian and aquatic vegetation. Dynamics of wakes affect a range of biotic and abiotic processes including dispersal of aquatic organisms, mixing of pollutants, sediment deposition and therefore geomorphological changes in rivers. Despite their importance, fundamental mechanisms of shallow wakes development are not fully understood due to lack of experimental data collected in natural environments and free of scaling effects compared to laboratory studies. Present dataset provides explicit information on hydrodynamics of shallow wake flows produced by solid and porous instream obstructions. Controlled field experiments with 30 runs were conducted at the side-branch of the gravel-bed Tagliamento River in the North-Eastern Italy in the period from July till October 2019. During the experimental campaign we varied characteristics of the instream obstructions (their diameter, solid volume fraction, submergence and porosity at the leading edge) and approach velocity. Each run included: (1) measurements of mean velocity and turbulence in the longitudinal (25-30 sampling locations) and lateral transects (8-10 transects with 14 sampling locations) of the constructed experimental channel where model obstructions were placed; (2) detailed surveys of the free surface topography; and (3) flow visualizations and recordings of the wakes patterns using a drone. The dataset is intended to be used for understanding fundamental mechanisms of shallow wakes development in natural fluvial environments, examination of scaling effects and verification of numerical models.</p>
Data from: Wake up and smell the conflict: odour signals in female competition
Odour signals used in competitive and aggressive interactions between males are well studied in the context of sexual selection. By contrast, relatively little is known about comparable signals used by females, despite current interest in the evolution of female ornaments and weaponry. Available evidence suggests that odour signals are important in competitive interactions between female mammals, with reductions or reversals of male-biased sexual dimorphism in signalling where female competition is intense. Scent marking is often associated with conflict between females over access to resources or reproductive opportunities. Female scent marks may therefore provide reliable signals of competitive ability that could be used both by competitors and potential mates. Consistent with this hypothesis, we report that aggressive behaviour of female house mice is correlated with the amount of major urinary protein (MUP) excreted in their urine, a polymorphic set of proteins that are used in scent mark signalling. Under semi-natural conditions, females with high MUP output are more likely to produce offspring sired by males that have high reproductive success, and less likely to produce offspring by multiple different sires, suggesting that females with strong MUP signals are monopolized by males of particularly high quality. We conclude that odour signals are worthy of more detailed investigation as mediators of female competition.
Data from: Wake-induced oscillation behavior of twin bundle conductor transmission lines
A numerical method to simulate air flow around a bundle conductor line by means of FLUENT software is presented and verified by a wind tunnel test for aerodynamic characteristics of a twin bundle conductor line. The lift and drag coefficients of the leeward sub-conductor of a twin bundle conductor varying with its relative position in the wake zone to the windward one under different wind velocities are numerically determined by the presented method. A user-defined subroutine of ABAQUS software is developed to apply the aerodynamic loads on each sub-conductor and the electromagnetic force between sub-conductors. The numerical simulation method for wake-induced oscillation of a bundle conductor line is proposed. By means of the numerical method, wake-induced oscillation processes of twin bundle conductor transmission lines under different parameters, including current intensity, spacer layout, span length and wind velocity, are numerically simulated. Moreover, the effects of those parameters on the oscillation characteristics of the lines, such as vibration mode, frequency, amplitude and motion trace, are discussed. The obtained results provide a fundamental for the understanding of wake-induced oscillation behavior of twin bundle conductor transmission lines and the development of control technique for wake-induced oscillation.
Data from: The wake of hovering flight in bats
Hovering means stationary flight at zero net forward speed, which can be achieved by animals through muscle powered flapping flight. Small bats capable of hovering typically do so with a downstroke in an inclined stroke plane, and with an aerodynamically active outer wing during the upstroke. The magnitude and time history of aerodynamic forces should be reflected by vorticity shed into the wake. We thus expect hovering bats to generate a characteristic wake, but this has until now never been studied. Here we trained nectar-feeding bats, Leptonycteris yerbabuenae, to hover at a feeder and using time-resolved stereoscopic particle image velocimetry in conjunction with high-speed kinematic analysis we show that hovering nectar-feeding bats produce a series of bilateral stacked vortex loops. Vortex visualizations suggest that the downstroke produces the majority of the weight support, but that the upstroke contributes positively to the lift production. However, the relative contributions from downstroke and upstroke could not be determined on the basis of the wake, because wake elements from down- and upstroke mix and interact. We also use a modified actuator disc model to estimate lift force, power and flap efficiency. Based on our quantitative wake-induced velocities, the model accounts for weight support well (108%). Estimates of aerodynamic efficiency suggest hovering flight is less efficient than forward flapping flight, while the overall energy conversion efficiency (mechanical power output/metabolic power) was estimated at 13%.
Data from: Optimizing the detection of wakeful and sleep-like states for future electrocorticographic brain computer interface applications
Previous studies suggest stable and robust control of a brain-computer interface (BCI) can be achieved using electrocorticography (ECoG). Translation of this technology from the laboratory to the real world requires additional methods that allow users operate their ECoG-based BCI autonomously. In such an environment, users must be able to perform all tasks currently performed by the experimenter, including manually switching the BCI system on/off. Although a simple task, it can be challenging for target users (e.g., individuals with tetraplegia) due to severe motor disability. In this study, we present an automated and practical strategy to switch a BCI system on or off based on the cognitive state of the user. Using a logistic regression, we built probabilistic models that utilized sub-dural ECoG signals from humans to estimate in pseudo real-time whether a person is awake or in a sleep-like state, and subsequently, whether to turn a BCI system on or off. Furthermore, we constrained these models to identify the optimal anatomical and spectral parameters for delineating states. Other methods exist to differentiate wake and sleep states using ECoG, but none account for practical requirements of BCI application, such as minimizing the size of an ECoG implant and predicting states in real time. Our results demonstrate that, across 4 individuals, wakeful and sleep-like states can be classified with over 80% accuracy (up to 92%) in pseudo real-time using high gamma (70–110 Hz) band limited power from only 5 electrodes (platinum discs with a diameter of 2.3 mm) located above the precentral and posterior superior temporal gyrus.
Wind turbine wake flight trials
Open the record for dataset details and reuse information.
Okey Aura Wake-up Word Dataset
<p>Speech dataset for wake-up word (WuW) detection in Telefónica's home assistant, Aura. It contains 1247 utterances (1.4 hours) from ~80 speakers. Speakers pronounce the wake-up word itself "Okey Aura", plus other sentences that might be similar, or not, to "Okey Aura".</p> <p>This dataset contains rich metadata annotations, so it is possible to study diverse factors and biases that might affect wake-up word detection performance: accent, gender, prosody/emotion, room size, distance to the microphone, etc. Besides, it also contains recordings of sentences that are phonetically similar to "Okey Aura", like "Porque Laura..." or "... como Aura...", to experiment with difficult sentences. </p>
Model integration of circadian and sleep-wake driven contributions to rhythmic gene expression reveals distinct regulatory principles
Open the record for dataset details and reuse information.
FIGURE 1 in Caecum wakense: a new Caecidae (Gastropoda: Caenogastropoda) from Wake Atoll (Pacific Ocean)
FIGURE 1. Caecum wakense sp. nov.: A–B. Holotype, LACM 2905, C–D. Paratypes, LACM 2906.
Wind turbine wake flight experiment raw data
<p>Raw data from wind turbine wake flight experiments.</p>
Data from: Mechanical power curve measured in the wake of pied flycatchers indicate modulation of parasite power across flight speeds
How aerodynamic power required for animal flight varies with flight speed determines optimal speeds during foraging and migratory flight. Despite its relevance, aerodynamic power provide an elusive quantity to measure directly in animal flight. Here we determine the aerodynamic power from wake velocity fields, measured using tomographical particle image velocimetry, of pied flycatchers flying freely in a wind tunnel. We find a shallow U-shaped power curve, which is flatter than expected by theory. Based on how the birds vary body angle with speed, we speculate that the shallow curve result from increased body drag coefficient and body frontal area at lower flight speeds. Including modulation of body drag in the model results in a more reasonable fit with data than the traditional model. From the wake structure we also find a single starting vortex generated from the two wings during the downstroke across flight speeds (1-9 m/s). This is accomplished by the arm wings interacting at the beginning of the downstroke, generating a unified starting vortex above the body of the bird. We interpret this as a mechanism resulting in uniform downwash and low induced power, which can help explain the higher aerodynamic performance in birds compared to bats.
Figure 1 from: Parra-Olea G, Rovito S, Lee D, Wake D (2012) A new species of Bolitoglossa (Amphibia, Caudata) from the Sierra de Juárez, Oaxaca, Mexico. ZooKeys 185: 55-71. https://doi.org/10.3897/zookeys.185.1146
Figure 1 - Map of the localities of Bolitoglossa (Nanotriton) used in the morphological study. Locality numbers correspond to those in Table 1. Green points represent Bolitoglossa chinanteca populations, pink points Bolitoglossa nympha populations, blue points Bolitoglossa occidentalis populations, and red points Bolitoglossa rufescens populations.
Figure 3 from: Parra-Olea G, Rovito S, Lee D, Wake D (2012) A new species of Bolitoglossa (Amphibia, Caudata) from the Sierra de Juárez, Oaxaca, Mexico. ZooKeys 185: 55-71. https://doi.org/10.3897/zookeys.185.1146
Figure 3 - Photographs of the live and preserved holotype. A Holotype of Bolitoglossa chinanteca B Holotype of Bolitoglossa chinanteca with a sympatric individual of Bolitoglossa rufescens C Dorsum and D venter of preserved holotype E Ventral view of holotype before preservation, showing color in life F Right hand, G right foot H gular region and I side view of head of preserved holotype. J Photograph of the type locality of Bolitoglossa chinanteca, including banana plants where the type series was collected. All photographs by S. M. Rovito.
Figure 2 from: Parra-Olea G, Rovito S, Lee D, Wake D (2012) A new species of Bolitoglossa (Amphibia, Caudata) from the Sierra de Juárez, Oaxaca, Mexico. ZooKeys 185: 55-71. https://doi.org/10.3897/zookeys.185.1146
Figure 2 - Maximum likelihood gene tree of 16S+cytb genes. Numbers above branches represent support values from 1000 bootstrap replicates.
On the characteristics of the wake of a wind turbine undergoing large motions caused by a floating structure: an insight based on experiments and multi-fidelity simulations from the OC6 Phase III Project - Supplementary material
<p>This link stores the supplemenary material for the paper: "On the characteristics of the wake of a wind turbine undergoing large motions caused by a floating structure: an insight based on experiments and multi-fidelity simulations from the OC6 Phase III Project" published on Wind Energy Science. The pdf file contains the plots for all the investigated metrics analysed in this work, which could not be reported in the manuscript due to space constraints. Further details about these results can be found in the original publication. </p>
Infant Swing and Sleep-Wake Cycles
ClinicalTrials.gov study NCT07284303. IPD Sharing: NO. Countries: 0. Publications: 5.
Wake and Sleep State Transitions on a Portable Electroencephalogram (EEG) Device in Narcolepsy Type 1 (NT1) and Healthy Participants
ClinicalTrials.gov study NCT04445129. IPD Sharing: YES. Countries: 1. Publications: 0.
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.