Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,661
datasets available to search
ShareScore release 0.9.0
Dataset results
1,661 results for “China Seas”
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>
Data: Characterizing the sediment dynamics through in-situ measurements in the abyssal Manila Trench, northeast South China Sea
<p>Along the Manila Trench, a total of four moorings were deployed in <a name="OLE_LINK5"></a>September 2019 and recovered in August 2020. The field measurements in velocity and turbidity were resampled to create hourly dataset.</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).
Рис. 1. Карта Гонконга (Китай) с обоЗначением иЗученных районов. in On the fauna of bivalve mollusks of Hong Kong (South China Sea)
Рис. 1. Карта Гонконга (Китай) с обоЗначением иЗученных районов.
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. 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>
Fig. 1 in Species turnover between the northern and southern part of the South China Sea in the Elaphropeza Macquart mangrove fly communities of Hong Kong and Singapore (Insecta: Diptera: Hybotidae)
Fig. 1. Distribution of the Malaise traps around Hong Kong (map by C. Taylor and U. Chang).
Fig. 1 in Pandaloid Shrimps From The Northern South China Sea, With Description Of A New Species Of Plesionika (Crustacea: Decapoda: Caridea)
Fig. 1. Sketch map of northern part of South China Sea.
Fig. 30. Periclimenes magnificus Bruce, 1979b in Some Palaemonid Shrimps (Crustacea: Decapoda) From Northern South China Sea, With Descripitions Of Two New Species
Fig. 30. Periclimenes magnificus Bruce, 1979b. Body, lateral view.
Fig. 29. Periclimenes hirsutus Bruce, 1971a in Some Palaemonid Shrimps (Crustacea: Decapoda) From Northern South China Sea, With Descripitions Of Two New Species
Fig. 29. Periclimenes hirsutus Bruce, 1971a, lateral view.
Atmospheric forcing and OGCM conditions for the year 2019 over the South China Sea
<p>The atmospheric forcing (<a href="13253327" target="_blank" rel="noopener noreferrer">atmospheric_ECMWF_forcing.tar</a>) comes from the 3-hourly output of the ECMWF 1/8<sup>o</sup> atmospheric analysis.</p> <p>Initial ocean conditions and lateral ocean boundary conditions are prescribed from the daily outputs of the global ocean 1/12<sup>o</sup> analysis PSY4QV3R1 from the Copernicus Marine and Environment Monitoring Service (CMEMS) (<a href="13253327" target="_blank" rel="noopener noreferrer">copernicus_OGCM_forcing.tar</a>).</p> <p>The data cover the entire year of 2019.</p> <p> </p>
MASCS 1.0: Synchronous atmospheric and oceanic data from a cross-shaped moored array in the northern South China Sea during 2014–2015
<p>This work presents a cross-shaped moored array dataset (MASCS 1.0) comprising five buoys and four moorings with synchronous atmospheric and oceanic data in the northern South China Sea during 2014–2015. The atmospheric data are observed by two meteorological instruments at the buoys. The oceanic data consist of sea surface waves measured using a wave recorder, temperature, and salinity from the surface to a depth of 400 m, and at 10 and 50 m above the ocean bottom using conductivity, temperature, and depth recorders. It also includes currents from the surface to a depth of 850 m measured using acoustic Doppler current profilers and measured at 10, 50, and 100 m above the floor using current meters. Additional measurements were taken for sea surface radiation, air visibility, chlorophyll, turbidity, and chromophoric dissolved organic matter at buoy 3, located at the center of the moored array. The data reveals air–sea interactions and oceanic processes in the upper and bottom ocean, especially the transition of the air–sea interface and ocean conditions from summer to winter monsoon and the effects of six tropical cyclones on the moored array. Multiscale processes were also recorded, such as air–sea fluxes, tides, internal waves, and low-frequency flows. The data are valuable and have many potential applications, including analyzing the phenomena and mechanisms of air–sea interactions and ocean dynamics and validating and improving numerical model simulations, data reanalysis, and assimilations.</p>
Modelling data in the South China Sea
<p>Model simulated daily current, temperature, salinity, chlorophyll and nitrate concentration for three experiments (control, case1 and case2) from our coupled physical-biological model of the South China Sea . For nitrate concentration, the dataset also includes the 16-day averaged budget terms along section S1. The modeled lagrangian particl tracking data is also avaiable. And all data used to draw Fig. 1 to Fig. 10 are in Figure_data.rar file.</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>
Submesoscale motions at the edge of an abnormal anticyclonic eddy in the northwestern South China Sea
<p>This datasets was used in the study named 'Submesoscale motions at the edge of an abnormal anticyclonic eddy in the northwestern South China Sea'. It contains glider data. Please let me know if you need any more information.</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>
Fig. 1 in Patterns In Community Structure Of Trawl Catches Along Coastal Area Of The South China Sea
Fig. 1. Map of the study area.
Fig. 2 in Mesophotic mushroom coral records at Brunei Darussalam support westward extension of the Coral Triangle to the South China Sea waters of Northwest Borneo
Fig. 2. View of the benthic community at the top of Mampak Patches, Brunei Darussalam (32 m deep).
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.