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104 results for “Yangtze River”
Distribution. SW China, in SE Xizang Autonomous Region (= Tibet) and NW Yunnan Province (fragmented populations in the Yun Ling Mts), W of the Yangtze River and E of the Mekong River. in Cercopithecidae
Distribution. SW China, in SE Xizang Autonomous Region (= Tibet) and NW Yunnan Province (fragmented populations in the Yun Ling Mts), W of the Yangtze River and E of the Mekong River.
Evaluation of Grain size, Amorphous Fe-Mn Oxides, and Chemical Weathering Effects on Geochemical Identification of the Yangtze River and Yellow River Sediments
<p>The data of grain size of the Yangtze River and Yellow River sediments are given in ds01.xls. Trace and REEs in the HCl- and AC-residual size-differentiated components of the Yangtze River and Yellow River sediments are given in ds02.xls. Major elements in the AC-residual <5 µm fractions of the Yangtze River and Yellow River sediments are given in ds03.xls. Major, trace, and REEs in the HCl- and AC-leachable fractions of the Yangtze River and Yellow River sediments are given in ds04.xls.</p>
FIGURE 2 in Pareuchiloglanis hupingshanensis, a new species of the glyptosternine catfish (Siluriformes: Sisoridae) from the middle Yangtze River, China
FIGURE 2. Measurements taken on the genus Pareuchiloglanis. A: tip of snout B: origin of pectoral fin. C: origin of dorsal fin. D: origin of pelvic fin. E: posterior insertion of dorsal-fin base. F: origin of adipose fin. G: origin of anal fin. H: posterior insertion of adipose-fin base. I: dorsal origin of caudal fin. J: ventral origin of caudal fin.
FIGURE 4 in Pareuchiloglanis hupingshanensis, a new species of the glyptosternine catfish (Siluriformes: Sisoridae) from the middle Yangtze River, China
FIGURE 4. Ventral view of premaxillary tooth band (A–B) and dentary tooth band (C–D). A and C: P. hupingshanensis, B and D: P. sinensis (scale bar = 2mm).
FIGURE 3. Pareuchiloglanis hupingshanensis, HHNNR 20071104074 in Pareuchiloglanis hupingshanensis, a new species of the glyptosternine catfish (Siluriformes: Sisoridae) from the middle Yangtze River, China
FIGURE 3. Pareuchiloglanis hupingshanensis, HHNNR 20071104074, holotype, male, 129 mm SL. Zhipeng River, Shimen County, Hunan Province, China. Dorsal (A), ventral (B) and lateral (C) views (scale bar = 10mm).
Anatomy of the 2022 scorching summer in the Yangtze River Basin using the SINTEX-F2 seasonal prediction system
<p>The above documents are used in the article of the same name.</p>
Modeling and Regulation of Water Exchange between the Oxbow Lake and the Middle Yangtze River
<p>The above data serves as the complete supporting material for the study conducted in the paper “Modeling and Regulation of Water Exchange between the Oxbow Lake and the Middle Yangtze River”, available for interested researchers to study and discuss.</p>
Forecasting the July Precipitation over the middle-lower reaches of the Yangtze River with a flexible statistical model
<p>The archive.zip contains the MLYR forecast system codes, data, results and all the figures which used in the paper“Forecasting the July Precipitation over the middle-lower reaches of the Yangtze River with a flexible statistical model.”</p> <ul> <li>The MLYR forecast system codes of each experiment used in this study are under the directory of RegMLYR.</li> <li>The observed data of sea surface temperature and precipitation used in the experiments are under the directory of ObsData.</li> <li>The NCL and Python scripts used for figures in the paper are under the directory of Figuers.</li> <li>The forecasting results of each experiment in this paper are under the directory of Results.</li> </ul>
Sediment exchange between southern Yellow Sea and Yangtze River Estuary in response to storm events
<p>Sediment exchange pattern between Yangtze River Estuary and southern Yellow Sea has been a crucial and controversial scientific question, which limits our understanding on the future prediction of morphological evolution of the radical sand ridges and Jiangsu tidal flats. This study investigates various processes including tides, winds and waves to identify a dominant factor controlling sediment exchange between the southern Yellow Sea and the Yangtze River Estuary under storm conditions using a validated numerical model. Our results show that tide is the dominant force controlling hydrodynamics and sediment transport between the two systems. Tide controlled residual currents and sediment fluxes are towards northwest from the Yangtze River Estuary to the southern Yellow Sea, while wind and wave-induced currents under normal wind condition (Beaufort 3 scale, 3.4m s<sup>-1</sup>) adjust net sediment flux by less than 10% and 40%, respectively. The influences of winds and waves on sediment transport vary with wind directions. South or southeast winds enhance the tide-induced northwestward sediment transport, while north or northeast winds reduce the northwestward sediment transport. Under strong winter storm condition, however, the associated northern winds and waves become more important than tides in sediment transport, leading to southeastern directed residual currents and net sediment fluxes. Sediment transport is more active in nearshore area than offshore areas, with little vertical variations.</p>
Site observation data of farmland sites in the middle and lower reaches of Yangtze River, China
<p>The meteorological data from the cropland site used to drive the model mainly includes downwelling longwave and shortwave radiation, precipitation, surface pressure, relative humidity, temperature, and wind speed. The file of meteorological forcing data is named "site_airforcing"</p> <p>Plants were collected at key growth stages of rice and winter wheat. The carbon and nitrogen content of each plant part was measured using an elemental analyzer (Flash Smart, Thermo Fisher, Germany). The file of plant carbon and nitrogen content data during the growing season is named "plant_CN"</p>
The data of water chemical parameters in Yangtze River
<p>The data of water chemical parameters in Yangtze River, which include data related to manuscript and textS5-6. The address of MixSIAR coed can be found in reference list for Isotope source analysis.</p>
Suspended sediment concentration mapping of a multi-channel system Songzi River of the Yangtze River Basin
<p>We used Google Earth Engine and observed hydrological data to create a multiple linear regression model to map SSC in the multi-channel system Songzi River of the Yangtze. <br> <br> Hydrological data from gauging stations and Landsat surface reflectance data were collected in the study area. Water discharge and suspended sediment data were obtained from four hydrological stations, including Zhicheng, Xinjiangkou, Shadaoguan and Guanwan. Such water and sediment data were obtained from the Changjiang Water Resources Commission (CWRC). Before these datasets are released to the public, they undergo rigorous verification following the relevant government protocols. <br> <br> The Landsat program with nine satellites launched from 1972 to 2021 operated by National Aeronautics and Space Administration (NASA) and United States Geological Survey (USGS) is aimed at to detect changes in the Earth's resources and environments (https://earthexplorer.usgs.gov/). It provides the longest, continuous, moderate resolution earth observation data, which is currently free, globally available. According to the data availability the GEE platform, our study used the surface reflectance data ("LANDSAT/LT05/C01/T1_SR" and "LANDSAT/LC08/C01/ T1_SR") of Landsat 5 and Landsat 8 to investigate the spectral characteristics of SSC for the Songzi River.</p>
Extreme Temeperature Datasets Utilized in the Multivariate Logarithmic Modeling of Grain Production in the Yangtze River Basin
<p>Data: gridded to a spatial resolution of 0.5deg *0.5deg, <strong>coldwave_frequencies.nc</strong> and <strong>hwcase19802022.nc</strong> contain historical annual terrestral coldwave/heatwave respectively in the timeframe 1980~2022 derived from CPC global unified temperature dataset provided by NOAA PSL. <strong>ssp_ete.zip</strong> is a compiled set of future coldwave and heatwave frequencies derived from CMIP6 datasets MIROC6 and BCC_CSM2_MR. Said zip archive is utilized for near-future per-hectare grain yield prediction in the original paper.</p> <p>Methods: the 90th percentile of the daily Tmax 1981-2010 climatology distribution defines the minimum heatwave-qualifying temperature of a specific location, and a day will be labeled as 'heatwave day' when daily Tmax exceeds the threshold over at least three consecutive days. Coldwave is determined following similar principles: an event of coldwave contains more than 3 consecutive cold days with Tmin lower than the 10th percentile of the daily Tmin 1981-2010 climatology distribution. <strong>cwave.py</strong> is an implementation of this method in the determination of heatwaves and coldwaves from SSP experiment datasets.</p> <p> </p>
Data from: Benthic community history in the Changjiang (Yangtze River) mega delta: Damming, urbanization, and environmental control
Open the record for dataset details and reuse information.
Data and code for: Explainable machine learning revealed the conditional response of biogenic isoprene to the changes in environmental factors at an urban site in the Yangtze River Delta, China
Open the record for dataset details and reuse information.
Data of "JGR-Cluster analysis of submicron particle number size distribution at SORPES station in Yangtze River Delta of East China"
<p>Data of "JGR-Cluster analysis of submicron particle number size distribution at SORPES station in Yangtze River Delta of East China"</p>
The rainfall-runoff data of four stations in Han River basin and six stations in middle reaches of Yangtze River basin
<p>The data is the result of processing the original data which can be download from https://www.ncei.noaa.gov/products/climate-data-records/precipitation-cmorph and http://113.57.190.228:8001/web/Report/RiverReport#. <br>The filename compiles with the rule "station name + data type + time"<br>The baseline_L.py file is the core code of baseline method with attention-LSTM and the core code of the Incremental Training</p>
The impact of river mouth evolution on shallow gas behaviors: Insights from the Changjiang (Yangtze River) subaqueous delta
<p>Data used for the plots can be found. The data are saved as .grd, .nc, .png and .dat files.</p> <p>1) <strong>Bathymetry of study area.nc</strong><strong> </strong>is used for producing Figs. 1A, 10, 11 and S2 as bathymetric chart.</p> <p>2) <strong>Data for seismic geomorphology.rar</strong> is the dataset used for producing the maps in Figs. 10, 11 and S2.</p> <p>3) <strong>Figure4</strong><strong>.png</strong><strong> </strong>is used for producing Fig. 4.</p> <p>4) <strong>Figure5A.png </strong>and <strong>Figure5D.png</strong><strong> </strong>is used for producing Fig. 5.</p> <p>5) <strong>Figure6A.png </strong>and <strong>Figure6D.png</strong><strong> </strong>is used for producing Fig. 6.</p> <p>6) <strong>Figure7</strong><strong>.png</strong><strong> </strong>is used for producing Fig. 7.</p> <p>7) <strong>Figure8A.png </strong>and <strong>Figure8C.png</strong><strong> </strong>is used for producing Fig. 8.</p> <p>8) <strong>Full waveform & envolope chirp profile.rar</strong> is used for producing Fig. 2. It includes full-size chirp profile in both full waveform and envolope forms shown in Fig. 2.</p> <p>9) <strong>Full waveform & wiggle.rar</strong> is used for producing Fig. 3. It includes full waveform profiles and the wiggle data.</p> <p>10) <strong>History bathymetry during 1958-2011.dat</strong><strong> </strong>is the bathymetric data analyzed and shown in Fig. S3.</p>
FIGURE 6 in Revalidation and redescription of a gobionine species Microphysogobio bicolor (Nichols, 1930) (Teleostei: Cypriniformes) from the Yangtze River Basin, China
FIGURE 6. Distribution of Microphysogobio bicolor, M. fukiensis and M. zhangi.
FIGURE 4 in Revalidation and redescription of a gobionine species Microphysogobio bicolor (Nichols, 1930) (Teleostei: Cypriniformes) from the Yangtze River Basin, China
FIGURE 4. Live Microphysogobio bicolor freshly collected near its type locality.
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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
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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.