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736 results for “East China”
Figure 3 in New evolutionary evidence of Grylloblattida from the Middle Jurassic of Inner Mongolia, north-east China (Insecta, Polyneoptera)
Figure 3. Plesioblattogryllus magnificus gen. nov., sp. nov., holotype NIGP 133701. Drawing of head.
Figure 2 in New evolutionary evidence of Grylloblattida from the Middle Jurassic of Inner Mongolia, north-east China (Insecta, Polyneoptera)
Figure 2. Plesioblattogryllus magnificus gen. nov., sp. nov., holotype NIGP 133701. Drawing of general habitus.
Figure 1 in New evolutionary evidence of Grylloblattida from the Middle Jurassic of Inner Mongolia, north-east China (Insecta, Polyneoptera)
Figure 1. Plesioblattogryllus magnificus gen. nov., sp. nov., holotype NIGP 133701. A. Photograph of general habitus (scale bar represents 10 mm). B. Photograph of foreleg (scale bar represents 2 mm). C. Photograph of head (scale bar represents 5 mm). D. Photograph of hind leg (scale bar represents 2 mm). E. Photograph of eggs (scale bar represents 2 mm).
Figs 8–19. Synergus gifuensis and S. japonicus. 8–11, 16, 18. S. gifuensis. 12–15, 17, 19. S. japonicus. 8, 12. Head, dorsal view. 9, 13. Head, frontal view. 10, 14. Mesosoma, dorsal view. 11, 15. Metasoma, lateral view. 16–17 in Taxonomic review of East Palearctic species of Synergus section I, with description of a new species from China (Hymenoptera: Cynipidae: Cynipinae)
Figs 8–19. Synergus gifuensis and S. japonicus. 8–11, 16, 18. S. gifuensis. 12–15, 17, 19. S. japonicus. 8, 12. Head, dorsal view. 9, 13. Head, frontal view. 10, 14. Mesosoma, dorsal view. 11, 15. Metasoma, lateral view. 16–17. First and second flagellomeres of male antenna. 18–19. First flagellomere of female antenna.
Supporting Information for Responses of Biogenic Dimethylated Sulfur Compounds to the Environmental Changes in the East China Sea
<p>This file contained the datasets of Figure 1, Figure 2, Figure 3, Figure S3, and Figure S4 discussed in the publication “Responses of Biogenic Dimethylated Sulfur Compounds to the Environmental Changes in the East China Sea”. There are:</p> <ol> <li>The pH, the concentrations of nitrate and phosphate in the spring 2017 experiment and summer 2018 experiment. The concentrations of organic nitrogen in the spring 2017 experiment.</li> <li>The Chl-a concentrations and the relative abundance of diatom and dinoflagellate in the spring 2017 experiment and summer 2018 experiment.</li> <li>The concentrations of DMS, DMSPd, DMSPp and DMSO in the spring 2017 experiment and summer 2018 experiment.</li> <li>The DMSPd loss rate and DMS production rate in the spring 2017 experiment and summer 2018 experiment.</li> </ol> <p>Ma, Q. Y., Zhang, H. H., Yang, G. P. (2021). Responses of Biogenic Dimethylated Sulfur Compounds to the Environmental Changes in the East China Sea. Submitted to Geophysical Research Letters.</p>
Reoxygenation in the East China Sea
<p>Hypoxia and upwelling co-occurred in the summer, and the well-mixed water often reaches the subsurface in the East China Sea (ECS), especially off the Changjiang River estuary. The impact of upwelling on the hypoxia and, therefore, on the ECS ecosystem is not well evaluated. This study demonstrates several positive and negative effects of upwelling on hypoxia and its impact on the ecosystem. This dataset contains data collected from four cruises in the summer of 2003 (June 18–26 and August 13–23) and 2014 (July 16–29 and August 20–31) on the R/V Ocean Researcher I and V in the East China Sea described in the paper: "Chung-Chi Chen, Dong S. Ko, Gwo-Ching Gong, Chun-Chi Lien, Wen-Chen Chou, Hung-Jen Lee, Fuh-Kwo Shiah, Yu-Sin Wita Huang (2022). Reoxygenation of the hypoxia in the East China Sea: A ventilation opening for marine life. <i>Frontiers in Marine Science</i> ". The presented variables include: temperature, salinity, dissolved oxygen, dissolved inorganic nutrients (nitrate and phosphate), and Chl <i>a </i>in this study.</p> <p>Main results of this study included nine figures and two tables as described in the paper, and please refer it for further details.</p>
Latitudinal cline in the foraging dichotomy of loggerhead sea turtles reveals the importance of East China Sea for priority conservation
<p><strong>Aim:</strong> Quantifying the importance of habitat areas for conservation of highly migratory marine species with complex life histories can be challenging. For example, loggerhead turtles (Caretta caretta) nesting in Japan forage both oceanically and neritically after their reproductive period. Here, we aimed to quantify the proportions of turtles using these two contrasting habitats (foraging dichotomy) to suggest priority conservation areas.</p> <p><strong>Methods:</strong> We examined the occurrence of foraging dichotomy at three nesting sites (Ishigaki, Okinoerabu Islands, and Ichinomiya) based on stable isotope analysis of the egg yolks for 82 turtles and satellite tracking of post-nesting migration for 12 turtles. Moreover, we used the data of three other sites from previous studies (Yakushima Island, Minabe, and Omaezaki).</p> <p><strong>Results:</strong> Two neritic foraging grounds (East China Sea and the coastal area of the Japanese archipelago), and an oceanic ground (North Pacific Ocean) were identified. We found a latitudinal cline with respect to the occurrence of foraging dichotomy; >84% of the females nesting at southern sites (Ishigaki and Okinoerabu Islands), 73% at middle sites (Yakushima Island and Minabe), and <46% at northern sites (Omaezaki and Ichinomiya) were neritic foragers; the proportion of oceanic foragers increased at northern sites. Based on the annual number of nests in the entire nesting region of Japan, satellite tracking, and the latitudinal cline of foraging dichotomy, we estimated that 70% and 9% of annual nesting females in Japan utilise the neritic foraging habitat in the East China Sea and the coastal area of the Japanese archipelago, respectively and that and 22% utilise the oceanic habitat of the North Pacific Ocean.</p> <p><strong>Main conclusions:</strong> The East China Sea represents a critical foraging habitat for the North Pacific populations of endangered loggerhead sea turtles. Our findings emphasise the need for international management to ensure their protection.</p>
The oxygen isotope of phosphate in the East China Sea in 2020
<p>For the analysis of the main sources of phosphate in the ESC during summer, we choose the area between 120.93 ˚ E-125.9 ˚ E and 26.08˚ N-32.35 ˚ N as research sites . The samples were all from the voyage of the research ship (Xiangyanghong 18). Surface seawater was collected at 49 stations for δ<sup>18</sup>O<sub>p</sub> analysis by a conductivity-temperature-depth profiler. Then we utilized δ<sup>18</sup>O<sub>p</sub> to trace the source of phosphate in the ESC. </p> <p>The δ<sup>18</sup>O<sub>p</sub> values in seawater are affected by water masses with different phosphate concentrations.We need the two-component mixing model for the analysis of water masses that control phosphate.In this research, atmospheric deposition and adjacent sea transportation were used as terrestrial and seawater end-members respectively to construct the δ<sup>18</sup>O<sub>p</sub> end-member mixing model.</p> <p>In order to quantify the source of phosphate in the sea, a Bayesian isotope mixing model run in the R software package (Stable Isotope Analysis in R, SIAR) was selected for analysis.</p>
Replication materials for "Effects of Urbanization in China on the East Asian Summer Monsoon as Revealed by Two Global Climate Models"
<p>The datasets are replication materials for the research "Effects of Urbanization in China on the East Asian Summer Monsoon as Revealed by Two Global Climate Models". They show urbanization-induced changes in surface air temperature (SAT), precipitation, and 850hPa atmospheric circulation from two global climate models (NCAR CESM1.2.1 and FGOALS-g3).</p>
Impact of mountains in Southern China on the Eocene climates of East Asia
<p>These files contain the model outputs from Noresm1-F that are used to draw the main parts of Figures in our paper entitled "Impact of mountains in Southern China on the Eocene climates of East Asia".</p>
Bottom water mediated microplastics distribution in water and sediment in the Yangtze River Estuary and East China Sea
<p>This database included the original data of water parameters, microplastics abundance, microplastics size, shape, color and shape. </p>
Figure 1 in A new species of Zenopsis (Zeiformes: Zeidae) from the South China Sea, East China Sea and off Western Australia
Figure 1. Zenopsis stabilispinosa sp. nov. Holotype, FAKU 64803 (307.2 mm SL).
Data from: Nutrient sources, phytoplankton blooms, and hypoxia along the Chinese coast in the East China Sea: Insight from summer 2014
<p>This dataset contains data collected onboard the <em>R/V Ocean Researcher I</em> during the summer of 2014 (August 20–31) East China Sea described in the paper: "C.-C. Chen, W.-C. Chou, and C.-C. Hung (2024). Nutrient sources, phytoplankton blooms, and hypoxia along the Chinese coast in the East China Sea: Insight from summer 2014, Marine Pollution Bulletin (accepted on July 4 2024)".</p>
Fig. 1 in Distribution of an invasive slug, Arion subfuscus (Draparnaud, 1805) in East Asia from Kamchatka to China
Fig. 1. Arion subfuscus from Primorsky Krai near Fokino Town. Photo by L.A. Prozorova.
Рис. 1. Arion subfuscus иЗ Приморского краЯ вблиЗи г. Фокино. Фото Л.А. ПроЗоровой. in Distribution of an invasive slug, Arion subfuscus (Draparnaud, 1805) in East Asia from Kamchatka to China
Рис. 1. Arion subfuscus иЗ Приморского краЯ вблиЗи г. Фокино. Фото Л.А. ПроЗоровой.
Fig. 5 in Biodiversity variability of macrobenthic in the Yellow Sea and East China Sea between 2001 and 2011
Fig. 5. Horizontal distributions of macrobenthic abundance in August 2011 (ind/m2).
A neural network-based estimate of the seasonal variability of total alkalinity in the East China Sea shelf
<p>In order to estimate the seasonal variability of total alkalinity in the ECS shelf, an artificial neural network (ANN) model was developed using 5 cruise datasets from 2008 to 2018. The model used temperature, salinity, and dissolved oxygen to estimate A<sub>T</sub> with a root-mean-square error of ~7 umol kg<sup>-1</sup>, and was applied to fill missing alkalinity data for 8 cruises during 2013-2016. In addition, monthly water column A<sub>T</sub> for the period 2000-2016 was also obtained passing temperature, salinity, and dissolved oxygen from the Changjiang Biology Finite-Volume Coastal Ocean Model (FVCOM) Data. Spatial distributions, seasonal cycles and correlations of surface A<sub>T</sub> indicated that the seasonal fluctuation of the Changjiang River discharge is the major factor affecting seasonal variation of surface total alkalinity in the ECS shelf. The largest seasonal fluctuation of surface total alkalinity was found on the inner shelf near the Changjiang Estuary.</p>
Retrieving monthly and interannual pHT in the East China Sea shelf using an artificial neural network: ANN-pHT-v1
<p><br> The reliability of the artificial neural network model was evaluated by independent sampled data from 3 cruises in 2018.</p> <p>Monthly water column pHT for the period 2000-2016 was obtained passing T, S, DO, N, P, and Si from the Finite-Volume Coastal Ocean Model with the European Regional Sea Ecosystem Model through the artificial neural network. The spatiotemporal resolution of monthly pHT is 1-10 km in the horizontal, 10 depth levels in the vertical, and 12 months. Seasonal pHT dynamics in the East China Sea shelf can be primarily attributed to temperature changes and the shifting balance of production and respiration processes.</p>
Shifting roles of the East China Sea in the phylogeography of red nanmu in East Asia
<p>This dataset contains one README file and two raw data files on the distribution and genetic data described in the paper: Jiang et al. (2021) Shifting roles of the East China Sea in the phylogeography of <em>Machilus thunbergii</em> (Lauraceae) in East Asia. Journal of Biogeography.</p> <p>Ecological niche modeling was employed to predict the potential distribution of <em>M. thunbergii</em> during the Last Glacial Maximum (LGM) and the last interglacial period. Nuclear microsatellite and chloroplast markers were used to reveal the phylogeographic pattern and infer the population history of 33 <em>M. thunbergii</em> populations.</p> <p>The ecological niche models suggested that the ECS provided potentially suitable habitats for <em>M. thunbergii</em> during the LGM. A sharp change in cpDNA haplotypes was found along the eastern China coasts, while microsatellites revealed a clinal pattern for genetic composition from eastern China to central Japan. The divergent lineages formed an admixture on the Zhoushan Archipelago of China and Kyushu Island of Japan. The estimated divergent and admixture times were <em>c</em>. 68 kyr and <em>c</em>. 15 kyr, corresponding to the periods where there were rising sea levels after the MIS4 glaciation and falling sea levels during the LGM, respectively. </p> <p><em>Machilus thunbergii </em>probably underwent alternating population isolation during interglacial periods and connection during glacial maxima across the ECS, but such periodicity of isolation and connection seems not to have promoted diversification as suggested by the species pump hypothesis. Incipient divergence has been periodically wiped out due to frequent coalescence, rendering the ECS more like a "species vacuum", particularly for species with relatively long generation lengths.</p>
𝛅11B and B/Ca measurements of the modern and fossil Porites corals from the east coast Hainan Island in the northern South China Sea
<p>This datasets contain the 𝛅<sup>11</sup>B and B/Ca determinations of three modern <em>Porites</em> corals and four ancient <em>Porites</em> collected from the east coast of Hainan Island in the northern South China Sea. The measurements of skeletal boron isotopes were carried out with a MC-ICP-MS, and the B/Ca was determined by ICP-MS. </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)
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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.