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1,661 results for “China Seas”
Fig. 4 in Ninh Hai waters (south Vietnam): a hotspot of reef corals in the western South China Sea
Fig. 4. Diagram showing covers of corals at 15 study sites along Ninh Hai district.
Fig. 5 in Ninh Hai waters (south Vietnam): a hotspot of reef corals in the western South China Sea
Fig. 5. Marine zoning of the Nui Chua National Park.
Figures 14 in Taxonomic notes on Hydroidomedusae (Cnidaria) from South China Sea III: Family Rathkeidae and Zancleopsidae
Figures 14. Lizzia octostyla (Haeckel, 1879), mouth margin with oral tentacles.
Figure 15 in Taxonomic notes on Hydroidomedusae (Cnidaria) from South China Sea III: Family Rathkeidae and Zancleopsidae
Figure 15. Podocorynoides minima (Trinci, 1905), in lateral view. Scale bar = 0.5 mm.
Fig. 8 in Discovery of a substantial continental population of the subfamily Sicydiinae (Gobioidei: Gobiidae) from Vietnam: Taxonomic revision of the genus Stiphodon from the western South China Sea
Fig. 8. Map of South China Sea showing localities where Stiphodon multisquamus has been recorded.
Remote Sensing based Sea Surface partial pressure of CO2 (pCO2) in China Seas (2003-2019)
<p>This dataset is sea surface partial pressure of CO2 (pCO2) in China seas (0-42°N, 105-132°E) over 2003-2019 with a spatial resolution of 1km and temporal resolution of a month. This is our second version of pCO2 in China seas. The first version was published on the SatCO2 website (http://www.satco2.com/index.php?m=content&c=index&a=show&catid=317&id=188).</p> <p>We produce this dataset by creating a boost machine learning algorithm (XGBoost) based on the gradient boost decision tree (GBDT). The input parameters used in this are sea surface temperature (SST), chlorophyll-a concentration (Chl-a), remote sensing reflectance of three bands (Rrs412, 443, 488 nm), the temperature difference in longitude direction (SST_DIF), and the theoretical background <em>p</em>CO<sub>2</sub> (<em>p</em>CO<sub>2</sub>_therm) under corresponding SST. SST_DIF is derived from SST by subtracting the mean value at the same latitude. To calculate <em>p</em>CO<sub>2</sub>_therm, we first assume that the seawater background <em>p</em>CO<sub>2</sub> equals the annual average atmospheric <em>p</em>CO<sub>2</sub> (sea-air <em>p</em>CO<sub>2</sub> balanced under ideal conditions), and the equilibrium temperature is assumed to be the yearly average SST; Then, the background <em>p</em>CO<sub>2</sub> is corrected according to SST to obtain <em>p</em>CO<sub>2</sub>_therm. Air pressure at sea level (SLP) and mole fraction of CO<sub>2</sub> in the air (xCO<sub>2</sub>) are employed when calculating atmospheric <em>p</em>CO<sub>2</sub>. </p> <p>The underway <em>p</em>CO<sub>2</sub> is first gridded to monthly 1 km and then divided into the training and validation sets with the volumes 151009 and 32584 samples. The validation set shows coefficients of determination (R<sup>2</sup>) between the XGBoost model-predicted and in-situ <em>p</em>CO<sub>2</sub> were 0.86, and the root means squared errors (RMSE) for the <em>p</em>CO<sub>2</sub> were 21.1 μatm.</p>
Sr-Nd isotopic fingerprints of Red River sediments and its implication for provenance discrimination in the South China Sea
<p>Supplementary Data of the Manuscript titled 'Revisit Sr-Nd isotopic fingerprints of Red River sediments and its implication for provenance discrimination in the South China Sea'</p> <p>Table A1. elemental compositions of Red River estuarine sediment samples</p> <p>Table A2. Literature data on sediment Sr-Nd isotopic ratios, Rb/Sr and K<sub>2</sub>O/(Na<sub>2</sub>O+CaO) in the Red River catchment</p> <p>Table A3. Compiled data on Sr-Nd isotopic compositions of rocks in the Thao River, Song Da and Song Lo basin</p> <p>Table A4. Compiled data of sediment Sr-Nd isotopic composition in the Pearl River, Red River and Mekong River</p>
Daily surface temperature and current from a 10 members ensemble simulation of June-September 2018 over the South China Sea
<p>This file contains the outputs from an ensemble of 10 members of simulation performed over the South China Sea for summer 2018.</p> <p>Members are numbered from 09 to 18.</p> <p>member_11_daily_surface_tem_u_v_JJAS.nc contains the surface daily temperature and current simulated by member 11</p> <p>grid.nc contains all information about the Arakawa C grid (longitude, latitude, mask, mesh size etc).</p> <p>wstress_surf_2018_JJAS_daily.nc contains the daily wind stress for summer 2018</p>
Data for: Mammalian predators and vegetated nesting habitat drive reduced protected area nesting success of Kentish plovers, Yellow Sea region, China
<p><span>Protected areas provide essential habitats for wildlife by conserving natural and semi-natural habitats and reducing human disturbance. However, whether breeding birds vulnerable to nest predation can benefit from strict land management in the protected area is unclear. Here, we compare the nesting performance of two groups of a ground-nesting shorebird, the Kentish plover (<em>Charadrius alexandrinus</em>), in the protected area (Liaohekou Natural Reserve, hereinafter PA) and the control non-protected area (Non-PA) around the Liaohekou Natural Reserve, in the north of the Yellow Sea, China, and identify which environmental factors, such as nesting habitat and nest materials, influence the daily nest survival rate (DSR). We found similar nesting habitats in both study areas, dominated by bare land or <em>Suaeda salsa</em> grassland. However, DSR was lower in PA (0.91 ± 0.01) than in Non-PA (0.97 ± 0.01). Kentish plovers nesting in areas with vegetation cover experienced lower DSR than in bare lands in both areas, and nests built with materials of <em>S. salsa</em> sticks had the lowest DSR in the bare land. Data from infrared cameras confirmed relatively higher predator abundances and nest predation rates by nocturnal mammals, such as Eurasian badgers (<em>Meles meles</em>), in PA than in Non-PA, and this pattern was especially evident for plover nests located in <em>S. sals</em>a grassland. Our results suggest that Liaohekou Natural Reserve protected area may not necessarily provide safe nesting sites for Kentish plovers due to the abundance of generalist mammal nest predators. </span><span>However, the PA includes about 80% of the nests from both locations. This means the contribution of the total number of successful nests continues to be much higher within PA, with the benefit for the species that this brings in terms of conservation. </span><span>The variation and mechanisms underlying differences in the nest predator communities of PA and non-PA deserve further study.</span></p>
A Flat-lying Transitional Free Gas to Gas Hydrate System in a Sand Layer in the Qiongdongnan Basin of the South China Sea
<p>Most marine gas hydrate systems follow a vertical pattern with gas hydrate overlying free gas. Here we document the discovery of a novel flat-lying transitional gas to hydrate system in a horizontal sand layer in the Qiongdongnan Basin of the South China Sea. Eight wells were drilled by the Guangzhou Marine Geological Survey in 2021-2022 to investigate the occurrence and mechanisms responsible for the formation of the system. We describe a free gas-bearing sand reservoir at the center of the system sustained by advecting hot fluids and gas; away from the advecting zone, the cooler, surrounding sand reservoir is filled with gas hydrate. Observations at this site show that temperature has a large control on hydrate formation in sands and may be a key mechanism which allows gas migration and hydrate formation in high-saturation hydrate filled sands.</p>
Data and codes for "Increasing deep-water overflow from the Pacific into the South China Sea revealed by mooring observations"
<p>Data files and code files on manuscript entitled "Increasing deep-water overflow from the Pacific into the South China Sea revealed by mooring observations" in Matlab format. Five files are included to draw figures in the manuscript. Details about the variables in the mat files are described in README.txt.</p>
Impact of monthly age model on coral paleothermometer fidelity: Insights from the northern South China Sea
<p>The repository includes an Excel file and text file that was embedded in the submitted manuscript of 'Impact of monthly age model on coral paleothermometer fidelity: Insights from the northern South China Sea'. The Excel file includes two raw coral sr/ca records that has been published (https://doi.org/10.1177/0959683609337355; https://doi.org/10.1029/2020PA004173); The txt file includes python code for the manuscript.</p>
Nitrous oxide in the East China Sea in 2015
<p>Nitrous oxide (N<sub>2</sub>O) is a powerful greenhouse gas, of which the global warming potential per mole is nearly 300 times more effective than that of carbon oxide. The coastal seas, which influenced by anthropogenic perturbations, are identified as potent sources of N<sub>2</sub>O. To further understand the N<sub>2</sub>O biogeochemical dynamics in the coastal oxic waters, we measured the N and O isotope compositions and concentrations of dissolved N<sub>2</sub>O, as well as other biological parameters (O<sub>2</sub>, NH<sub>4</sub><sup>+</sup>, NO<sub>2</sub><sup>-</sup>, and NO<sub>3</sub><sup>-</sup>) and hydroxylamine (NH<sub>2</sub>OH) concentrations in the East China Sea, a marginal sea of the western Pacific Ocean, in 2015.</p>
Nitrous oxide and Hydroxylamine in the East China Sea in 2015
<p>The first analyses of N<sub>2</sub>O isotopocule signatures in the East China Sea (ECS) are presented, along with hydroxylamine (NH<sub>2</sub>OH) and N<sub>2</sub>O concentrations, to clarify the dominant N<sub>2</sub>O production processes in the coastal water. In the ECS in October 2015, N<sub>2</sub>O ranged from 6.3 to 33.1 nmol L<sup>-1</sup>, equivalent to 99% – 251% in saturation, leading to the air-sea fluxes of 1.6 – 10.5 μmol m<sup>-2 </sup>d<sup>-1</sup> (4.8±2.5 μmol m<sup>-2 </sup>d<sup>-1</sup>) using the W2014 formula. The coexistence of high levels of NH<sub>4</sub><sup>+</sup>, NH<sub>2</sub>OH, and NO<sub>2</sub><sup>-</sup> indicated the potential for nitrification and/or hybrid N<sub>2</sub>O formation. In the shallow water (< 300 m), the concentration (~9.3 nmol L<sup>-1</sup>), δ<sup>15</sup>N<sup>bulk</sup>-N<sub>2</sub>O (~6.8‰), δ<sup>18</sup>O-N<sub>2</sub>O (~45.1‰), and <sup>15</sup>N site preference (SP, ~14.8‰) of N<sub>2</sub>O were close to those isotopic signatures in atmospheric N<sub>2</sub>O; whereas those values in the deep water increased downward, reaching their maxima of 33.1 nmol L<sup>-1</sup>, 8.6‰, 54.7‰, and 18.7‰, respectively.</p>
Ptatin2D : dataset for run simulations presented in the article Slab pull driven South China Sea opening implies a Mesozoic Proto South China Sea
<p>Overview of pTatin2D</p> <p>pTatin2D is a software package designed for studying long time-scale processes relevant to geodynamics. The original motivation for this development was to provide the community with an open-source toolkit capable of studying high-resolution, two-dimensional models of lithospheric deformation.</p> <p>Functionality</p> <ul> <li>mixed finite elements (Q2-P1_disc) for the Stokes problem</li> <li>material points for tracking Lagrangian state and history variables</li> <li>energy equation solved with Q1 elements + SUPG</li> <li>ALE formulations (with a variety of remeshing solutions)</li> <li>extensible rheology components (currently supports: iso-viscous, Frank-Kamenetskii, Arrhenius, power-law, von Mises, Drucker Prager)</li> <li>full support for spatio-temporal Dirichlet and non-zero Neumann boundary conditions</li> <li>coupling with landscape evolution models</li> <li>full support for Newton and Picard non-linear solvers</li> <li>massively parallel implementation</li> </ul> <p>pTatin2D leverages functionality from <a href="http://www.mcs.anl.gov/petsc">PETSc</a></p> <p>Requirements</p> <ul> <li>PETSc (only support for version 3.2)</li> </ul>
Measurement report: Atmospheric nitrate radical chemistry in the South China Sea influenced by the urban outflow of the Pearl River Delta
<p>Supporting dataset for Measurement report: Atmospheric nitrate radical chemistry in the South China Sea influenced by the urban outflow of the Pearl River Delta.</p>
The catches of different lamps using on the falling-net fishing vessels in South China Sea
<p><span>Falling nets are a type of fishing gear that appeared and developed rapidly in the northern of South China Sea in the early 1990s. We have developed Light-emitting diode (LED) fishing lamps to replace metal halide (MH) lamps that reduce fuel consumption without reducing the catches. We conducted marine light-fishing experiments in the northern South China Sea from September 20 to 26, 2019, and August 29 to 31, 2021. The results in the first fishing experiment show that there is no significant change in catch of the falling-net fishing vessel when the white LED lamps (with a total power of 36 kW) were used instead of MH lamps (with a total power of 120 kW). Squid catches of the falling-net fishing vessel increased significantly when white LED lamps (with a total power of 36 kW) and cyan LED lamps (with a total power of 6.0 kW) were used. The results in the second fishing experiment show that the total weight of catches of the cyan LED fishing lamps is more than that of the white LED fishing lamps, and the cyan LED light can attract <em>Penaeus merguiensis</em> and <em>Thryssa dussumieri</em> more effectively than the white LED light.</span></p>
The sea around China-surface and bottom temperature data
<p>The temperature data in the sea around China, including sea surface temperature and bottom temperature. </p>
Multi-stage Development within Anisotropy Insight of an Anticyclone Eddy in Northwestern South China Sea in 2021
<p>data For Multi-stage Development within Anisotropy Insight of an Anticyclone Eddy in Northwestern South China Sea in 2021. </p>
Primary saltmarsh succession on a tropical coral island in the south china sea: Human influences initiate and accelerate the process of succession
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Allen Brain Atlas
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International Brain Laboratory public data
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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.