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128 results for “River deltas”
Comparing the Influence of Global Warming and Urban Anthropogenic Heat on Extreme Precipitation in Urbanized Pearl River Delta Area Based on WRF Dynamical Downscaling
<p>The simulation outputs from the Weather Research and Forecasting (WRF) v3.8.1 coupled with single layer urban canopy model from three experiments (HIST_AH300, HIST_AH0, and RCP85_AH300).</p> <p>Variables include hourly precipitation, wind, specific humidity, relative humidity, convective available potential energy, convective inhibition, temperature, model height, land use land cover, and topography.</p> <p> </p>
Figure 4 in Stranded humpback whale (Megaptera novaeangliae) (Cetacea: Balaenopteridae) in Paraná River Delta, Buenos Aires Province, Argentina. Comments on the occurrence of marine
Figure 4. Median-joining network based on the cytochrome c oxidase subunit I mtDNA haplotypes of Megaptera novaeangliae. Haplotypes are represented with discs and colors that indicate geographical locations. Mutational steps are indicated with stripes.
Figure 1 in Stranded humpback whale (Megaptera novaeangliae) (Cetacea: Balaenopteridae) in Paraná River Delta, Buenos Aires Province, Argentina. Comments on the occurrence of marine
Figure 1. Paraná River delta map were Megaptera novaeangliae (CFA-MA-13084) was found dead (exact location is indicated with a black dot).
Guadiana river delta bathymetry surveys from 1944 to 1992 (digitalization)
<p>Digitalization of Guadiana river delta bathymetry.</p> <p>Data consists of vector points and lines (shapefile) with bathymetric values (z) as reference to Hydrographic Zero (Z.H.): 2 m bellow mean sea level, observed in Cascais tidal gauge, Portugal.</p> <p>It also has *.csv files (zxy) of the point data.</p> <p>Data was manually digitized from paper charts regarding the following surveys (month/year):</p> <p>?/1944; may, june/1958; june/1967; may, june/1969; march, april/1973; april/1977; july/1982; april, may/1986; april/ 1988; july/august/ 1992.</p> <p>Original map scale is 1:5000.</p> <p>Digitalization o paper charts produced 0.67 m x 0.65 m cell size raster files.</p> <p>All data is projected to ESPG: 3763 (ETRS89 / Portugal TM06).</p> <p>Surveys were originally performed by Portuguese hydrographic authorities:</p> <p>Brigada Hidrográfica 4; MOPTC - DSF - DCME</p> <p> </p>
Sea turtle relative abundance in nearshore waters adjacent to the Mississippi River delta, Gulf of Mexico, United States
<p><span>We measured the relative abundance of sea turtles using standardized transect surveys conducted during the summer and fall of 2013 in neritic waters surrounding the Mississippi River delta in Louisiana, USA. Data comprise sea turtle locations, observation circumstances, and environmental covariates recorded at the beginning of each transect and at the time of each turtle observation. Turtles were recorded by species and size class, as well as location in the water column and the distance the turtle was from the transect line. Transects were performed on an 8.2-meter vessel with two observers atop a 4.5-meter elevated platform, with vessel speed standardized at ~15 km/hr. These data are the first to describe relative abundance of sea turtles observed from small vessels in this region. Detection of turtles <45 cm SSCL and data detail are greater than aerial surveys. The data serve to inform resource managers and researchers regarding these protected marine species. </span></p>
Electronic supplemental material for Mann et al. "Multi-decadal records of shoreline erosion reveal the roles of river delta dynamics, hard protection measures, and other interventions in Eastern Ghana"
<p>Electronic supplemental material for Mann et al. "Multi-decadal records of shoreline erosion reveal the roles of river delta dynamics, hard protection measures, and other interventions in Eastern Ghana"</p> <p><br> The supplemental material comprises the database "Geodatabase Ghana.mdb" and the MSc thesis by Aleksandra Serwa (Serwa 2017), the results of which built the foundation for the paper.</p> <p>The database contains one layer with all digitized shorelines (HWL_END) as indicated in table 1 of the manuscript, and additional baseline and transect layers that are necessary for the shoreline change analyses with DSAS (Thieler & Danforth 1994). Further information can be found in Serwa (2017).</p> <p>References:</p> <p>Serwa, A., 2017. Shoreline changes in the Keta Municipal District (Ghana): Evidence from multi-decadal records. Master Thesis, Department of Geosciences, University of Bremen, 88 p.</p> <p><br> Thieler, E.R. & Danforth, W.W., 1994. Historical Shoreline Mapping ( II ): Application of the Digital Shoreline Mapping and Analysis Systems ( DSMS / DSAS ) to Shoreline Change Mapping in Puerto Rico. Journal of Coastal Research, 10(3), pp.600–620.</p>
Evaluations on numerical simulations of ozone dry deposition over the Yangtze River Delta
<p>Regional simulation of ozone dry deposition is an important tool for understanding ozone pollution threats and quantifying the ozone impact on terrestrial ecosystems. In this study, we evaluate ozone dry deposition in the Yangtze River Delta (YRD) region using two different dry deposition schemes. The WRF-Chem model, Wesely dry deposition scheme, and revised Surfatm dry deposition scheme were used to simulate the ozone dry deposition process in the YRD region, and results are compared with the observation over a winter wheat field. The results show that the simulated ozone concentrations (<em>c</em><sub>O3</sub>) of the two dry deposition schemes were good and lower than the measurements. The simulated ozone dry deposition velocity (<em>V</em><sub>d</sub>) in the Surfatm dry deposition scheme was more close to the measurements. The mean value of <em>c</em><sub>O3 </sub>and <em>V</em><sub>d</sub> in the YRD region ranged from 30 to 50 nL·L<sup>−1</sup> and from 0.2 to 0.5 cm·s<sup>−1 </sup>in the daytime, respectively. To improve the simulation results of the ozone dry deposition process, the simulation errors due to different land use types, the meteorological factors on dry deposition resistance functions, and the influence of chemical reactions must all be considered.</p>
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>
Data from: Interaction between plants through litter input in mangrove succession in the Red River Delta
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Data from: Developing and applying a macroinvertebrate‐based multimetric index for urban rivers in the Niger Delta, Nigeria
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Sea turtle relative abundance in nearshore waters adjacent to the Mississippi River delta, Gulf of Mexico, United States
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FIGURE 7. Maraenobiotus supermario n in A new species of Maraenobiotus (Copepoda, Harpacticoida) from Lena River Delta (North-Eastern Siberia)
FIGURE 7. Maraenobiotus supermario n. sp. Male allotype: A, P2, anterior; B, P3, anterior; C, P4, anterior.
FIGURE 6. Maraenobiotus supermario n in A new species of Maraenobiotus (Copepoda, Harpacticoida) from Lena River Delta (North-Eastern Siberia)
FIGURE 6. Maraenobiotus supermario n. sp. Male allotype: A, abdomen, dorsal; B, abdomen, ventral; C, spermatophore.
FIGURE 5. Maraenobiotus supermario n in A new species of Maraenobiotus (Copepoda, Harpacticoida) from Lena River Delta (North-Eastern Siberia)
FIGURE 5. Maraenobiotus supermario n. sp. Female holotype: A, P2, anterior; B, P3, anterior; C, P4, anterior.
FIGURE 4. Maraenobiotus supermario n in A new species of Maraenobiotus (Copepoda, Harpacticoida) from Lena River Delta (North-Eastern Siberia)
FIGURE 4. Maraenobiotus supermario n. sp. Female holotype: A, mandible; B, maxillule; C, maxilla; D, maxilliped; E, P1, anterior.
FIGURE 3. Maraenobiotus supermario n in A new species of Maraenobiotus (Copepoda, Harpacticoida) from Lena River Delta (North-Eastern Siberia)
FIGURE 3. Maraenobiotus supermario n. sp. Female holotype: A, antennule; B. antenna. Male allotype: C, antennule
FIGURE 1. Maraenobiotus supermario n in A new species of Maraenobiotus (Copepoda, Harpacticoida) from Lena River Delta (North-Eastern Siberia)
FIGURE 1. Maraenobiotus supermario n. sp. Female holotype: A, cephalothorax and thoracic segments, dorsal; B. cephalothorax and thoracic segments, lateral.
FIGURE 2. Maraenobiotus supermario n in A new species of Maraenobiotus (Copepoda, Harpacticoida) from Lena River Delta (North-Eastern Siberia)
FIGURE 2. Maraenobiotus supermario n. sp. Female holotype: A, abdomen, dorsal; B, abdomen, ventral. Arrow is nodular thickening.
FIGURE 8. Maraenobiotus supermario n in A new species of Maraenobiotus (Copepoda, Harpacticoida) from Lena River Delta (North-Eastern Siberia)
FIGURE 8. Maraenobiotus supermario n. sp. Female holotype: A, P5, anterior; Male allotype: A, P5, anterior.
Data from: Benthic community history in the Changjiang (Yangtze River) mega delta: Damming, urbanization, and environmental control
Coastal environment of the Changjiang delta has been influenced by recent anthropogenic activities such as dam constructions, and increased sewage and fertilizer inputs. Previous work examined compositional shift of marine plankton to assess ecological impacts of these activities on marine ecosystems in the Changjiang discharge area. Here we used benthic marine ostracodes collected in the Changjiang Estuary and its adjacent East China Sea in the 1980s and the 2010s, respectively, to investigate temporal changes of the benthic community and the controlling factors of the benthic fauna. Our results revealed more shoreward distribution of some well-known off-shore ostracode species in the 2010s compared to the 1980s, and relatively more important role of environmental processes (e.g. bottom water temperature, bottom water salinity and the eutrophic conditions of surface water) than spatial processes (e.g. the flow of ocean currents) in structuring ostracode compositions. The temporal changes of ostracode community were likely attributed to the combined effects of reduced seasonal water and sediment discharge, and eutrophic conditions of the Changjiang due to numerous dam constructions along the Changjiang and population expansion in the Changjiang basin. Results of redundancy analysis and variation partitioning suggested that ocean currents facilitated environmental filtering of ostracode species such that they could disperse to preferred environmental conditions. These findings highlighted the potential uses of marine microfossils to better understand ecological impacts on benthic ecosystem in vulnerable Asian mega deltas and provided insights into the integration of metacommunity concepts in disentangling dynamics of marine benthic communities.
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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.