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217 results for “Shoaling”
Figure 2 in Oceanic Shoals Commonwealth Marine Reserve survey reveals new records of xanthid crabs (Crustacea: Brachyura: Xanthidae) from northern Australia
Figure 2. Euxanthus sp., male (NMV J46923) (7.9 X 5.6mm): A, carapace, dorsal view; B, carapace, ventral view; C, frontal view; D, third maxilliped; E, fourth right leg; F, right cheliped.
Data from a tidal cycle continuous survey using ADCP and CTD in Sand Shoal Inlet, Virginia
<p><strong>Title: </strong>Data from a tidal cycle continuous survey using ADCP and CTD in Sand Shoal Inlet, Virginia.</p> <p><strong>Author/Data Collector: </strong>Chunyan Li</p> <p><strong>Point of Contact, PI, Originator: </strong>Chunyan Li (cli@lsu.edu)</p> <p>These are data files from a 12.5-hour continuous survey done in Sand Shoal Inlet in Eastern Shore of Virginia on the Delmarva Peninsula on May 12, 1999.</p> <p>The ADCP data files are: SS01002T.000, SS01003T.000, and SS01004T.000.</p> <p>The CTD data files are named as SNDSHL**.CNV (a total of 33 files).</p> <p> </p> <p>ADCP data are measured from the RDI’s old program Transect.</p> <p><em>Ship Track:</em> Repeated samplings of ADCP were made along four transects connected by four points:</p> <p> [1] 37 17.918 N, 75 48.596 W</p> <p> [2] 37 18.344 N, 75 48.248 W</p> <p> [3] 37 17.884 N, 75 47.981 W</p> <p> [4] 37 18.054 N, 75 47.664 W</p> <p><em>CTD stations:</em></p> <p><em> {1} 37 18.174 N, 75 48.378 W</em></p> <p><em> {2} 37 17.978 N, 75 47.787 W</em></p> <p><em> Cast # Station #<br> 00 1<br> 01 2<br> 02 1<br> 03 2<br> 04 1<br> 05 2<br> 06 1<br> 07 n/a extra cast at ADCP [2]<br> 08 2<br> 09 1<br> 10 2<br> 11 n/a extra cast north of a front<br> 12 1<br> 13 2<br> 14 1<br> 15 2<br> 16 1<br> 17 2<br> 18 1<br> 19 2<br> 20 1<br> 21 2<br> 22 1<br> 23 2<br> 24 1<br> 25 2<br> 26 1<br> 27 2<br> 28 1<br> 29 2<br> 30 1<br> 31 2<br> 32 1<br> 33 2</em><br> </p> <p><strong>ACKNOWLEDGEMENTS</strong></p> <p>Thanks to Arnoldo Valle-Levinson and Larry Atkinson for the research support. The field trip participants included Cristobal Creyes, Bob Bray, RC Kidd, Rosario Sanay, Kris Holderied, Andres Sepulveda as well as a person by the first name Wildo. The data were used in Li (2002).</p> <p><strong>References</strong></p> <p>Li, C. (2002). Axial convergence fronts in a barotropic tidal inlet - Sand Shoal Inlet, VA, <em>Continental Shelf Research</em>, 22: 2633-2653. <a href="https://doi.org/10.1016/S0278-4343(02)00118-8">https://doi.org/10.1016/S0278-4343(02)00118-8</a>.</p>
Data from: Age and growth of stocked juvenile Shoal Bass in a tailwater: environmental variation and accuracy of daily age estimates
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Data and R script for: Shoaling behaviour in response to turbidity in three-spined sticklebacks
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Parasite infection disrupts escape behaviour in fish shoals
<p>Many prey species have evolved collective responses to avoid predation. They rapidly transfer information about potential predators to trigger and coordinate escape waves. Predation avoidance behaviour is often manipulated by trophically transmitted parasites, to facilitate their transmission to the next host. We hypothesised that the presence of infected, behaviourally altered individuals might disturb the spread of escape waves. We used the tapeworm Schistocephalus solidus, which increases risk-taking behaviour and decrease social responsiveness of its host, the three spined stickleback, to test this hypothesis. Three subgroups of sticklebacks were placed next to one another in separate compartments with shelter. The middle subgroup contained either uninfected or infected sticklebacks. We confronted an outer subgroup with an artificial bird strike, and studied how the escape response spread through the subgroups. With uninfected sticklebacks in the middle, escape waves spread rapidly through the entire shoal and fish remained in shelter thereafter. With infected sticklebacks in the middle, the escape wave was disrupted and uninfected fish did hardlyrarely used the shelter. Infected individuals can disrupt the transmission of flight responses, thereby not only increasing their own predation risk but also that of their uninfected shoal members. Our study uncovers a potentially far-reaching fitness consequence of grouping with infected individuals.</p>
Shoals Club Wreck
On 2/16/2022, Underwater Archaeology Branch (UAB) staff visited Bald Head Island to investigate a wooden wreck that had eroded out of the dune in front of the Shoals Club. The wreck fragment measured about 65 ft in length by 11 ft max width and was positioned with the long axis running perpendicular to the dune in a N/S orientation. It was not clear what type of vessel the irregularly shaped wreckage originally was. It exhibited a heavily built keelson of four 12-inch squared timbers and sister of two similar squared timbers, all fastened together by massive 1.5-inch iron drift pins with washers under the mushroomed head. This structure was fastened to athwartship running floors beneath the keelson structure. These were squarely cut on the west side of the "keelson structure" (KS) about 4' at the extreme south end of the vessel running to flush at the extreme north end. This model was constructed by David Cranford and Stephen Atkinson with 446 photos using Agisoft Metashape software. (Credit: NCDNCR/OSA) Source: Objaverse 1.0 / Sketchfab
Data from: Shoaling guppies evade predation but have deadlier parasites
<p>We collected data on coinfection rates, infection prevalence, and infection intensity for <em>Gyrodactylus</em> spp. on wild Trinidadian guppies (<em>Poecilia reticulata</em>). We also collected data on the shoaling preference of wild-caught guppy hosts. Further, we collected data on transmission rates, infection intensity, and infected host mortality rates of lines of these parasites on guppies in the laboratory. We fouind that wild guppy populations with stronger shoaling preferences had higher infection prevalence and coinfection rates. Further, we found a transmission rate-virulence tradeoff among parasite lines mediated by infection intensity. Lastly, parasite lines from populations with stronger shoaling preferences were found to attain higher infection intensity and impose higher mortality on infected hosts.</p> <p>These data may be re-used with citation of the corresponding manuscript, "Shoaling guppies evade predation but have deadlier parasites." For more information, see that corresponding manuscript.</p>
Model output: Unraveling the mechanisms that cause cyclic channel-shoal dynamics of ebb-tidal deltas: a numerical modeling study
<p>Output from model runs for Lenstra et al., “Unraveling the mechanisms that cause cyclic channel-shoal dynamics of ebb-tidal deltas: a modeling study”. The dataset contains two types of model output, namely (1) the default model runs and (2) the sensitity runs with waves+tides, waves only, and tides only.</p> <p>The files covering the default model runs contain:</p> <p>ModeledDays - time vector for the depth series [days]</p> <p>XT - east-west location of grid points high resolution domains [m]</p> <p>YT - north-south location of grid points high resolution domains [m]</p> <p>depth - depth series for the high resolution domains [m]</p> <p>XSea - east-west location of grid points outer sea domain [m]</p> <p>YSea - north-south location of grid points outer sea domain [m]</p> <p>depthSea - depth series for the outer sea domain [m]</p> <p>XBasin - east-west location of grid points basin domain [m]</p> <p>YBasin - north-south location of grid points basin domain [m]</p> <p>depthBasin - depth series for the basin domain [m]</p> <p>ST_Days - time vector for the sediment transport series [days]</p> <p>ST_Inlet - tidally-averaged total sediment transport through the inlet (positive seaward) [10<sup>6</sup> m<sup>3</sup>/year]</p> <p>ST_Up - tidally-averaged total sediment transport through the cross-section at the updrift coast (positive eastward) [10<sup>6</sup> m<sup>3</sup>/year]</p> <p>ST_Down - tidally-averaged total sediment transport through the cross-section at the downdrif coast (positive eastward) [10<sup>6</sup> m<sup>3</sup>/year]</p> <p>The files covering the sensitivity runs contain for the high resolution domains:</p> <p>XT - east-west location of grid points [m]</p> <p>YT - north-south location of grid points [m]</p> <p>TA_STX - east-west component of the tidally-averaged total sediment transport [m<sup>3</sup>/s/m]</p> <p>TA_STY - north-south component of the tidally-averaged total sediment transport [m<sup>3</sup>/s/m]</p> <p>TA_U - east-west component of the tidally-averaged flow velocities [m/s]</p> <p>TA_V - north-south component of the tidally-averagedf low velocities [m/s]</p> <p>M2 - amplitude of the semi-diurnal tidal flow velocities (not for wave only runs) [m/s] </p>
Zebrafish shoal dataset
<p>Data, figures and videos about zebrafish (<em>Danio rerio</em>) shoal experiments where different population sizes (2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 20, 25 individuals) and environmental conditions (0, 1, 2 floating objects) were investigated.</p> <p>This dataset is attached to the PhD thesis: "Influence de la population et de l'environnement sur la dynamique en banc du poisson-zèbre (<em>Danio rerio</em>): expériences et développement d'outils d'analyse", Bette S. (2019), Université libre de Bruxelles </p>
Outputs of numerical simulation of irregular waves propagating over an idealized shoal under non-breaking conditions
<p>This dataset contains bathymetry files (.txt) and outputs files (.mat) of numerical simulation of irregular waves propagating over an idealized shoal under non-breaking conditions, conducted with SWASH model. The spatial and temporal resolution are 0.5 m and 0.1 s, respectively.</p>
Data and code for: Collective motion diminishes, but variation between groups emerges, through time in fish shoals
<p>Despite extensive interest in the dynamic interactions between individuals that drive collective motion in animal groups, the dynamics of collective motion over longer time frames are understudied. Using three-spined sticklebacks, <i>Gasterosteus aculeatus,</i> randomly assigned to twelve shoals of eight fish, we tested how six key traits of collective motion changed over shorter (within trials) and longer (between days) timescales under controlled laboratory conditions. Over both timescales, groups became less social with reduced cohesion, polarisation, group speed and information transfer. There was consistent inter-group variation (i.e. collective personality variation) for all collective motion parameters, but groups also differed in how their collective motion changed over days in their cohesion, polarisation, group speed and information transfer. This magnified differences between groups, suggesting that over time the 'typical' collective motion cannot be easily characterised. Future studies are needed to understand whether such between-group differences in changes over time are adaptive and represent improvements in group performance or are suboptimal but represent a compromise between individuals in their preferences for the characteristics of collective behaviour.</p>
Shoals in troubled waters: Data
<p>Rising water temperatures across aquatic habitats, in the current global climate change scenario, in freshwater systems, can increase, directly affecting metabolism and food intake in fish species. These can potentially alter their physiological, behavioural and, potentially altering their shoaling properties. In the current study, we examined the effects of future temperatures on metabolism, foraging, and shoaling of tropical fish. Mixed-species shoals, (comprising flying barbs, zebrafish and gambusia) and as well single-species (flying barbs and zebrafish) shoals of flying barbs and zebrafish were conditioned for 45 days to one of the following three kinds of temperature regimes: the Current Temperature Regime (CTR) in which shoals were at 24°C (i.e., the current mean temperature of their habitat), The Predicted Temperature Regime (PTR) which maintained a water temperature of 31°C, (i.e., simulating conditions projected for their habitat in 2100), and The Dynamic Temperature Regime (DTR) which experienced daily temperature fluctuations between 24°C and 31°C, (i.e., resembling rapid temperature changes expected in their natural environments) or the Current Temperature Regime (CTR) in which shoals were at 24°C, the current mean temperature of their habitat. Our results revealed species-specific responses to these temperature regimes. Flying barbs exhibited significantly lower body weight at PTR but maintained consistent glycogen content across all temperature regimes. In contrast, zebrafish and gambusia displayed significantly elevated muscle glycogen content at PTR, with similar body weights across all three temperature regimes. Bloodworm intake showed there were no significant temperature-related changes on feeding behaviour. Cohesion within flying barb shoals and cohesion/polarization in mixed-species shoals decreased significantly at PTR. Shoals exposed to DTR exhibited intermediate characteristics between those conditioned to CTR and PTR, suggesting that shoals may be less impacted by dynamic temperatures as compared to prolonged high temperatures. This study highlights species-specific metabolic responses to future temperatures and their potential implications for larger-scale shoal properties. </p>
Data and code for: Collective motion diminishes, but variation between groups emerges, through time in fish shoals
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Parasite infection disrupts escape behaviour in fish shoals
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Data from: The impact of predators and vegetation on shoaling in wild zebrafish
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Data from: Shoaling guppies evade predation but have deadlier parasites
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Shoals in troubled waters: Data
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Figure 13 in Sponge fauna of the New Siberian Shoal: biodiversity and some features of formation
Figure 13. Tetilla polyura: (a) habitus; (b–h) scanning electron microscope (SEM) images of spicules; (b) large oxea; (c) small oxea; (d) raphides; (e–e2) anatriaenes; (f) basal end of protriaene sagittal; (g, g1) normal protriaene; (h) sigma.
Figure 7 in Sponge fauna of the New Siberian Shoal: biodiversity and some features of formation
Figure 7. Polymastia rara: (a) longitudinal section through the surface (abbreviations: ecx, the external layer of the cortex; icx, the internal layer of the cortex); (b) habitus; (c–g) scanning electron microscope (SEM) images of spicules; (c) large style; (d) intermediate style; (e) small style; (e1, e2) basal ends of small styles; (f, g) basal and apical ends of exotyle.
Figure 3 in Sponge fauna of the New Siberian Shoal: biodiversity and some features of formation
Figure 3. Iophon koltuni sp. nov.: (a–d1) scanning electron microscope (SEM) images of spicules; (a) acanthostyle; (b) tylote; (b1) end of tylote; (c) bipocillum; (d, d1) palmate anisochelae.
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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.