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622 results for “Underwater”
Fromsight to sequence: Underwater visual census vs eDNA metabarcoding for the monitoring of taxonomic and functional fish diversity
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Underwater soundscape indicates low anthropogenic influence around two sub-Antarctic islands
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Estimating enhanced fish production on restored shellfish reefs using automated data collection from underwater videos
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Data from: Towards a fully automated underwater census for fish assemblages in the Mediterranean Sea
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An underwater Serengeti: Seagrass-mediated effects on intake and cultivation grazing behavior of a marine megaherbivore
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Biofouling data from underwater surveys of commercial ships in Canada
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Monitoring mesophotic scleractinian corals using an underwater mini-ROV to sample eDNA
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Friction data from: Directional hydration lubrication underwater: Enabled by TA/PAAm submicron particles
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Data from: Phylogenomics recovers multiple origins of portable case-making in caddisflies (Insecta: Trichoptera), nature’s underwater architects
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Underwater video of lake whitefish Coregonus clupeaformis spawning in lake Michigan
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Technical note: Estimating light-use efficiency of benthic habitats using underwater O2 eddy covariance
<p>This datafile contains all data required to recreate figures presented in Attard KM & Glud RN (2020) Technical Note: Estimating light-use efficiency of benthic habitats using underwater O2 eddy covariance. Biogeosciences https://doi.org/10.5194/bg-2020-140 </p> <p>Paper abstract</p> <p>Light-use efficiency defines the ability of primary producers to convert sunlight energy to primary production and is computed as the ratio between the gross primary production and the intercepted photosynthetic active radiation. While this measure has been applied broadly within the atmospheric sciences to investigate resource-use efficiency in terrestrial habitats, it remains underused within the aquatic realm. This report provides a conceptual framework to compute hourly and daily light-use efficiency using underwater O<sub>2</sub> eddy covariance, a recent technological development that produces habitat-scale rates of primary production under unaltered in situ conditions. The analysis, tested on two benthic flux datasets, documents that hourly light-use efficiency may approach the maximum theoretical limit of 0.125 O<sub>2</sub> photon<sup>-1</sup> under low light conditions but it decreases rapidly towards the middle of the day and is typically tenfold lower on a 24 h basis. Overall, light-use efficiency provides a useful measure of habitat functioning and facilitates site comparison in time and space.</p>
Underwater caustics disrupt prey detection by a reef fish
Natural habitats contain dynamic elements, such as varying local illumination: can such features mitigate the salience of organism movement? Dynamic illumination is particularly prevalent in coral reefs, where reticulate patterns known as 'water caustics' play chaotically in the shallows. In behavioural experiments with a wild-caught reef fish, the Picasso triggerfish (Rhinecanthus aculeatus), we demonstrate that the presence of dynamic water caustics negatively affects the detection of moving prey items, as measured by attack latency. Manipulating two features of water caustic form (sharpness and scale) implies that the masking effect should be most effective in shallow water. Due to the direct impact upon foraging efficiency, we expect the presence of water caustics to influence decisions about habitat choice and foraging by wild prey and predators.
Gentoo penguins (Pygoscelis papua) react to underwater sounds
<p>Marine mammals and diving birds face several physiological challenges under water, affecting their thermoregulation and locomotion as well as their sensory systems. Therefore, marine mammals have modified ears for improved underwater hearing. <a name="_Hlk5740480">Underwater hearing in marine birds have been studied in a few species, but for the record-holding divers, such as penguins, there are no detailed data</a>. We played underwater noise bursts to gentoo penguins<i> (Pygoscelis papua)</i> in a large tank at sound pressure levels between 100 and 120 dB re 1 µPa rms. The penguins showed a graded reaction to the noise bursts, ranging from no reactions at 100 dB to strong reactions in more than 62% of the playbacks at 120 dB re 1 µPa. The responses were always directed away from the sound source. The fact that penguins can detect and react to underwater stimuli may indicate that they make use of sound stimuli for orientation and prey detection during dives. Further, it suggests that penguins may be sensitive to anthropogenic noise, like many species of marine mammals.</p>
Data from: Modelling of ships as a source of underwater noise
In this paper, a methodology is presented for modelling underwater noise emissions from ships based on realistic vessel activity in the Baltic Sea region. This paper combines the Wittekind noise source model with the Ship Traffic Emission Assessment Model (STEAM) in order to produce regular updates for underwater noise from ships. This approach allows the construction of noise source maps, but requires parameters which are not commonly available from commercial ship technical databases. For this reason, alternative methods were necessary to fill in the required information. Most of the parameters needed contain information that is available during the STEAM model runs, but features describing propeller cavitation are not easily recovered for the world fleet. Baltic Sea ship activity data were used to generate noise source maps for commercial shipping. Container ships were recognized as the most significant source of underwater noise, and the significant potential for an increase in their contribution to future noise emissions was identified.
FIGURE 7. Underwater photographs. A, Onycocaris hayamaensis n in A new species of the pontoniine shrimp genus Onycocaris Nobili, 1904 (Crustacea: Decapoda: Caridea: Palaemonidae) from Sagami Bay, central Japan
FIGURE 7. Underwater photographs. A, Onycocaris hayamaensis n. sp., holotype, ovigerous female (cl 3.4 mm) (indicated by red arrow), and host sponge Haliclona sp.; B, Onycocaris hayamaensis n. sp., holotype, ovigerous female (cl 3.4 mm); C, Onycocaris hayamaensis n. sp., male, spouse of holotype, not collected.
FIGURE 2. Ceratia sergipana n in New deep ocean Iravadiidae of the genus Ceratia (Caenogastropoda: Truncatelloidea) from an underwater canyon and adjacent regions of the southwestern Atlantic (northeastern Brazil)
FIGURE 2. Ceratia sergipana n. sp. (A. holotype, MZSP 121795; B–F. paratype, MNRJ 34.431): A and B. ventral view; C. lateral view; D. detail of ornamentation and suture; E. lateral view of protoconch; F. apical view of protoconch (arrow pointing to the probable transition margin between the protoconch and teleoconch). Scale bars: A. 1 mm, B–C. 500 µm, D–E. 100 µm, F. 50 µm.
FIGURE 1. Ceratia francisca n in New deep ocean Iravadiidae of the genus Ceratia (Caenogastropoda: Truncatelloidea) from an underwater canyon and adjacent regions of the southwestern Atlantic (northeastern Brazil)
FIGURE 1. Ceratia francisca n. sp. (holotype, MZSP 122158): A. ventral view; B. lateral view; C. detail of ornamentation and suture; D. lateral view of protoconch; E. apical view of protoconch (arrow pointing to the transition margin between the protoconch and teleoconch). Scale bars: A. 500 µm, B–C. 200 µm, D. 100 µm, E. 50 µm.
Fig. 1 in Underwater Pupation by the Comal Springs Riffle Beetle, Heterelmis Comalensis Bosse, Tuff, and Brown, 1988 (Coleoptera: Elmidae), with an Update on Culture Techniques
Fig. 1. Marking Heterelmis vulnerata using Brite-Mark® Fiber Tip Paint Markers and an insect pin following the recommendations of Wineriter and Walker (1984).
Fig. 3 in Underwater Pupation by the Comal Springs Riffle Beetle, Heterelmis Comalensis Bosse, Tuff, and Brown, 1988 (Coleoptera: Elmidae), with an Update on Culture Techniques
Fig. 3. Combined count of Microcylloepus pusillus, Stygobromus pecki, and Stygoparnus comalensis found on three cotton cloth lures buried within 3 m of one another during a 17-week monitoring period at Spring Run 2, Comal Springs, Texas.
Figure 14 in REVIEW Going underwater: multiple origins and functional morphology of piercing-sucking feeding and tracheal system adaptations in water scavenger beetle larvae (Coleoptera: Hydrophiloidea)
Figure 14. Summary of the main structures related with apneustic respiratory system. A–C, Berosus decolor Knisch, 1924, light microscope photograph: A, habitus, first-instar larva, dorsal view; B; terminal spiracle, third-instar larva, dorsal view; C; detail of the abdominal spiracular trachea and tracheal gill, dorsal view. D, Berosus pallipes Brullé, 1841, abdominal spiracle, third-instar larva, dorsal view. E–H, Berosus sp., third-instar larva, SEM micrograph: E, spiracular chamber, ventral view; F; first abdominal segment bearing tracheal gill, dorsal view; G, detail of tracheal gill surface; H, abdominal spiracle. I, J, Hemiosus bruchi Knisch, 1924, third-instar larva, SEM micrograph: I, last abdominal segments, dorsal view; J, abdominal spiracle. K, Hemiosus multimaculatus (Jensen-Haarup, 1910), spiracular chamber, third-instar larva, ventral view.
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.