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60 results for “Marginal sea”
FIGURE 4 in A new deep-sea eelpout of the genus Pyrolycus (Teleostei: Zoarcidae) associated with a hydrothermal seep on the Pacific margin of Costa Rica
FIGURE 4. Live images of Pyrolycus jaco sp. nov., not collected, living among Lamellibrachia barhami and Escarpia spicata colonies. Photo credit: ROV SuBastian/Schmidt Ocean Institute.
FIGURE 3 in A new deep-sea eelpout of the genus Pyrolycus (Teleostei: Zoarcidae) associated with a hydrothermal seep on the Pacific margin of Costa Rica
FIGURE 3. Pore configuration on the dorsal surface of the head in Pyrolycus jaco sp. nov., holotype, SIO 20-41, 107+ mm SL. PO: postorbital pores; OCC: occipital pores. Scale bar = 2 mm.
FIGURE 2 in A new deep-sea eelpout of the genus Pyrolycus (Teleostei: Zoarcidae) associated with a hydrothermal seep on the Pacific margin of Costa Rica
FIGURE 2. CT-image of the lateral left side of the head of SIO 20-41, holotype, Pyrolycus jaco sp. nov., 107+ mm SL, with A) parashpeonid and palatopterygoid series and B) orbital series highlighted. Scale bar = 5 mm.
FIGURE 1 in A new deep-sea eelpout of the genus Pyrolycus (Teleostei: Zoarcidae) associated with a hydrothermal seep on the Pacific margin of Costa Rica
FIGURE 1. Holotype of Pyrolycus jaco sp. nov., SIO 20-41, 107+ mm SL, Jacó Scar, Costa Rica A) freshly collected; B) in preservation, note caudal region removed by collectors; C) superimposition of radiograph over fresh image to estimate vertebral count. Scale bar= 20 mm.
Hydrogen Isotope Fingerprinting of Lipid Biomarkers in the Chinese Marginal Seas-Data
<p>Hydrogen isotope data for lipid biomarkers extracted from surface sediments of the Chinese marginal seas. </p>
Data from: Deep-sea ostracod faunal dynamics in a marginal sea: Biotic response to oxygen variability and mid-Pleistocene global changes
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Data from: Comparative phylogeography in marginal seas of the northwestern Pacific
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Local sea-level rise caused by climate change in the northwest Pacific marginal seas using dynamical downscaling
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FIGURE. 4 in A novel species Spinonema gracilispiculum sp. n. (Nematoda: Desmodoridae) from the oxygen minimum zone of Eastern Arabian Sea margin
FIGURE. 4 Spinonema gracilispiculum sp. n. Paratype entire female. (Scale bar 50 µm).
FIGURE. 3 in A novel species Spinonema gracilispiculum sp. n. (Nematoda: Desmodoridae) from the oxygen minimum zone of Eastern Arabian Sea margin
FIGURE. 3 Spinonema gracilispiculum sp. n. Paratype entire male. (Scale bar 20 µm).
PLATE 1 in A novel species Spinonema gracilispiculum sp. n. (Nematoda: Desmodoridae) from the oxygen minimum zone of Eastern Arabian Sea margin
PLATE 1. Study area showing the type locality of Spinonema gracilispiculum sp. n.
Hydrogen Isotope fingerprinting of lipid biomarkers in the Chinese Marginal Seas
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X-ray diffraction (XRD) measurement of bulk and clay mineral composition at India National Gas Hydrate Program 01 (NGHP-01) Sites on the Indian continental margin (Krishna-Godavari Basin, Kerala-Konkan Basin, Mahanadi Basin, Andaman Sea)
<p>This dataset contains bulk and clay mineral relative abundances measured by X-ray diffraction (XRD) measured at 12 offshore sites drilled and cored during the Indian National Gas Hydrate Program 01 (NGHP-01) in 2006 by the JOIDES Resolution. Sediment samples from from the Kerala-Konkan Basin, Arabian Sea (Hole 01A), the Krishna-Godavari Basin, Bay of Bengal (Holes 03B, 05C, 07BD, 10BD, 14A, 15A, 16A, 20AB), the Andaman Sea (Hole 17A), and the Mahanadi Basin, Bay of Bengal (Holes 18A, 19A) were measured for bulk and clay XRD at the University of Missouri using a Scintag Pad V X-ray diffractometer.</p> <p>These sites are between 895 and 2663 m of water depth and were from drilled to depths between 172 and 675 m below seafloor. These data were published in:</p> <p><strong>Phillips, S.C., Johnson, J.E., Underwood, M.B., Guo, J., Giosan, L., and Rose, K., 2014. Long-timescale variation in bulk and clay mineral composition of Indian continental margin sediments in the Bay of Bengal, Andaman Sea, and Arabian Sea. <em>Marine and Petroleum Geology</em> 58A, 117-138, https://doi.org/10.1016/j.marpetgeo.2014.06.018 <a href="https://doi.org/10.1016/j.marpetgeo.2014.06.018">Link</a></strong></p> <p>Samples were collected at a resolution of approximately 1 per core. Four-component relative abundances (total clay, quartz, feldspar, calcite) of bulk sediment powders were calculated using a singular value decomposition (Fisher and Underwood, 1995). Clay fractions were prepared using the filter peel method and 0.45-mm membranes, and saturated with ethylene glycol (Moore and Reynolds, 1997). Clay mineral relative abundances (illite, smectite, kaolinite, chlorite) were calculated using the method of Biscaye (1965) for comparison with previously measured studies from the Indian Ocean. See Phillips et al. (2014) for additional information.</p> <p>References:</p> <p>Biscaye, P.E., 1965. Mineralogy and sedimentation of recent deep-sea clay in the Atlantic Ocean and adjacent seas and oceans. <em>Geological Society of America Bulletin</em>. 76, 803-832. https://doi.org/10.1130/0016-7606(1965)76[803:MASORD]2.0.CO;2</p> <p>Fisher, A.T., Underwood, M.B., 1995. Calibration of an X-ray diffraction method to determine relative mineral abundances in bulk powders using matrix singular value decomposition: a test from the Barbados accretionary complex. In: Shipley, T.H., Ogawa, Y., Blum, P. (Eds.), <em>Proceedings of the Ocean Drilling Program, Initial Reports</em>, vol. 156, pp. 29-37. doi:10.2973/odp.proc.ir.156.103.1995</p> <p>Moore, D.M., Reynolds, R.C., 1997. X-ray <em>Diffraction and the Identification and Analysis of Clay Minerals</em>, second ed. Oxford University Press, New York.</p> <p>Phillips, S.C., Johnson, J.E., Underwood, M.B., Guo, J., Giosan, L., and Rose, K., 2014. Long-timescale variation in bulk and clay mineral composition of Indian continental margin sediments in the Bay of Bengal, Andaman Sea, and Arabian Sea. <em>Marine and Petroleum Geology</em> 58A, 117-138, https://doi.org/10.1016/j.marpetgeo.2014.06.018</p>
Divergent responses of Organic Carbon to Sedimentary Environment Transformation in a River-dominated Marginal Sea
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Dataset for the paper: Factors influencing sea-ice algae abundance, community composition, and distribution in the marginal ice zone of the Southern Ocean during winter.
<p>Dataset for the paper: Factors influencing sea-ice algae abundance, community composition, and distribution in the marginal ice zone of the Southern Ocean during winter. </p> <p> </p>
Data for Haid et al.: On the drivers of regime shifts in Antarctic marginal seas... Part II
<p>4D potential temperature and salinity in Weddell region for perturbation experiments SA_G, SA_S, SA_W, SUMMER_S and SUMMER_S+SAw_W</p>
Emissions and Potential Controls of Light Alkenes from Marginal Seas
<p>This dataset shows temporal-spatial variations of aklenes (ethylene, propylene, and isoprene) and their sea-to-air fluxes in the China's marginal seas (Yellow Sea, Bohai Sea, East China Sea, and South China Sea).</p>
Travel times of wide-angle seismic refraction profile OBS2020-1 at the northern continental margin of South China Sea
<p>The dataset contains travel times (including the primary and secondary phases) of the OBS2020-1 profile with 11 OBS stations at the northern continental margin of SCS.</p>
Seismic evidence for a weakened thick crust at the Beaufort Sea continental margin
<p>This compressed folder contains raw seismic waveforms used to determine the three-dimensional seismic velocity structure beneath the Beaufort Sea continental margin of northwestern Canada.</p> <p>Estève, C.,<strong> </strong>Liu, Y., Koulakov, I., Schaeffer, A.J, and Audet, P., Seismic evidence for a weakened thick crust at the Beaufort Sea continental margin <em>(Geophysical Research Letters</em>).</p>
Air-sea gas exchange and its potential influence on regional fate of polycyclic aromatic hydrocarbons in the East China Marginal Sea
<p>This dataset includes the meteorology and hydrology data in the East China Sea (ECS) and Yellow Sea (YS), the information of air and seawater samples, the gaseous and dissolved concentration of polycyclic aromatic hydrocarbons (PAHs) in the ECS and YS, the air-sea gas exchange fluxes of PAHs in the ECS and YS.</p>
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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.