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738 results for “estuaries”
Figure 1 in Speciation of two salinity-associated size forms of Oithona dissimilis (Copepoda: Cyclopoida) in estuaries
Figure 1. Large and small forms of Oithona dissimilis from Okinawa-jima island. Female of the large form from Katabaru Beach: (A) Habitus; (B) mandibular palp. Female of the small form from Hija-gawa River: (C) habitus; (D) mandibular palp. Arrows "a" and "b" indicate two pointed spines on the mandibular basis and five setae on the mandibular endopod, respectively.
FIGURE 2 in Alternanthera kanhae (Amaranthaceae), a new species from Sabarmati Estuary of India
FIGURE 2. Alternanthera kanhae sp. nov. A Habit, B Root, C Adaxial surface, D Abaxial surface E Twig showing hairs.(Photographs by Akash G. Vanzara and Ilesh K. Katara).
FIGURE 4 in Alternanthera kanhae (Amaranthaceae), a new species from Sabarmati Estuary of India
FIGURE 4. Maximum- likelihood tree showing relationship of A. kanhae sp. nov.with related species using concatenated rbcL, trnL-F, and psbA-trnH data. Numbers on the nodes indicate bootstrap percentages (BP).
FIGURE 3 in Alternanthera kanhae (Amaranthaceae), a new species from Sabarmati Estuary of India
FIGURE 3. SEM images of Alternanthera kanhae sp. nov. A Adaxial surface of tepal, B Abaxial surface of tepal, C Ovary, D Trichomes.
FIGURE 1 in Alternanthera kanhae (Amaranthaceae), a new species from Sabarmati Estuary of India
FIGURE 1. Alternanthera kanhae sp. nov. A Habit, B Abaxial surface of branch, C Inflorescence with branch, D A flowering twig, E Leaf F&G Inflorescence, H&I Open flower, J Bract, K Bracteoles, L Stamen, M Staminodes and N Ovary. (Photographs by Akash G. Vanzara).
Compound coastal, fluvial, and pluvial flooding during historical hurricane events in the Sabine-Neches Estuary, Texas
<p>This dataset contains boundary forcing (offshore water level and river discharge), topobathy, and Manning's n roughness data used to simulate compound flooding due to historical hurricanes (Harvey, Ike, and Rita) in the Sabine-Neches Estuary in Texas. It also includes water level outputs used for the analysis presented in the manuscript entitled: <em>Compound coastal, fluvial, and pluvial flooding during historical hurricane events in the Sabine-Neches Estuary, Texas </em>(<a href="https://doi.org/10.1029/2022WR033144">https://doi.org/10.1029/2022WR033144</a>).</p>
Observations of Autumnal Cooling in a Large Estuary: The Glider Data from Long Island Sound in 2014
<p>This data file is a component of the data used in a paper to appear in the Journal of Geophysical Research in 2023 entitled "Observations of Autumnal Cooling in a Large Estuary" by Amin Ilia, Grant McCardell, Kay Howard-Strobel, and James O'Donnell. The data file contains the measurements from a Slocum Glider (V1) from Webb Research used in the paper. The data is in a MATLAB binary (.mat) file as a structure variable with a field MetaData containing some notes, and data in <br> SampleTimeEST- the date and time of the sample (EST) in MATLAB's datenum() format<br> Pressure_dBar - the pressure (or equivalently depth in m) that the sample was acquired <br> Temperature_C - the water temperature in Celcius<br> PracticalSalinty - the practical salinity<br> LatitudeDeg- the latitude of the sampling location (deg)<br> LongitudeDeg - the longitude of the sampling location (deg east)</p> <p>The paper's abstract is: </p> <p>Seasonal variations in solar insolation and wind create an annual water temperature cycle that impacts circulation and biological processes. The waters of Long Island Sound (LIS) warm from March-February until August-October and then begin to cool. Ship surveys show that the vertical temperature structure becomes almost uniform during this season when the area experiences low air temperatures and high winds. However, no observations have resolved the temporal evolution of the vertical structure of temperature during these cooling periods because conditions inhibit ship operations. We report glider measurements of the vertical structure of water temperatures and salinities from October 22 to November 4, 2014, in eastern LIS. We find that 20m of water can cool at approximately 0.5 C/day during intervals of cold air and strong winds. We use the data to estimate heat content tendencies and infer surface fluxes. We also estimate the surface heat fluxes using buoy-mounted instruments and show they are consistent. The net heat flux to the atmosphere exceeds 600 W/m<sup>2</sup> during the gilder deployment and approximately 66% of this is due to latent heat transfer. Using the buoy fluxes and products of an operation regional model, we show that the agreement with the fluxes derived from heat budget is improved by using local wind observations. In addition to confirming the extremely large cooling rates, our results demonstrate that gliders can be used in a complex region with strong tidal currents to resolve the temperature structure and heat budget during the severe weather of the cooling season.</p> <p> </p>
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>
Environmental parameters and DCF rates in Yangtze Estuary and coastal waters
<p>Environmental parameters and DCF rates in Yangtze estuary and coastal waters</p> <p>---</p> <p>The uploaded dataset consists of seven files, as follows:</p> <ol> <li>Environmental parameters.csv</li> <li>DCF rates of temperature gradients.csv</li> <li>Annual DCF rates.csv</li> <li>Increase of DCF rates under 2.0 °C and 4.0 °C warming scenarios.csv</li> <li>Increase of DCF rates under different warming scenarios.csv</li> <li>DCF rate in August under current and 4.0 °C warming scenario and the inhibition percentage</li> <li>DCF rates of ammonium gradients.csv</li> </ol> <p>Among them, environmental parameters and DCF rate of 5–40°C are measured data, and the rest data are simulated by polynomial fitting in Origin 2022.</p>
Diversity, seasonal abundance, and environmental drivers of chaetognath populations in North Inlet Estuary, South Carolina, USA
<p>Chaetognaths (Phylum: Chaetognatha) are one of the most abundant phyla of zooplankton worldwide and play an important role in marine trophic interactions. Although the role of chaetognaths in global ecosystems is well understood, the spatial variation and environmental drivers of estuarine chaetognath populations is poorly understood. To provide the first known record of chaetognath species composition in a coastal estuary in the south-eastern USA, chaetognaths were identified and quantified from zooplankton samples collected on a monthly basis in 2019 and 2020 from North Inlet Estuary in South Carolina. <em>Parasagitta tenuis </em>was the most abundant species of the five found, making up 33% of total abundance. The egg presence of these chaetognaths was further analyzed to gauge reproductive cycles. Abundance and egg presence were compared with surface and bottom measurements of temperature, salinity, and dissolved oxygen levels to determine the driving abiotic factors behind chaetognath's seasonal variability and reproductive cycles. Temperature, salinity, and dissolved oxygen all had low (r < ± 0.29), non-significant correlations with abundance. Chaetognath egg production was most significantly associated with dissolved oxygen (p < 0.001) and seasonal changes in temperature (p < 0.001). Our initial findings indicate the continued abundance of chaetognath in a local estuary is dependent on abiotic factors that are strongly influenced by a changing climate. </p>
Dataset to the article 'Redox-zoning in high-energy subterranean estuaries as a function of storm floods, temperatures, seasonal groundwater recharge and morphodynamics'
<p>This repository contains model input files, and pre- and post-processing scripts for the research article:</p> <p>Janek Greskowiak, Stephan L. Seibert, Vincent E.A. Post, Gudrun Massmann (2023), Redox-zoning in high-energy subterranean estuaries as a function of storm floods, temperatures, seasonal groundwater recharge and morphodynamics, Estuarine, Coastal and Shelf Science, https://doi.org/10.1016/j.ecss.2023.108418</p> <p><br> Data:</p> <p>The folder Laserascannerdata_top_and_hydr_heads contains five cross-shore topography profiles of a high energy beach on Spiekeroog Island, Germany, including a python-script that assembles them to a daily times-series over one year and that calculates the tide-averaged hydraulic heads in the intertidal zone as detailed in Greskowiak and Massmann (2021), The impact of morphodynamics and storm floods on pore water flow and transport in the subterranean estuary, Hydrological Processes, 35:e14050, https://doi.org/10.1002/hyp.14050</p> <p><br> Model input:</p> <p>The file Dynamod_1_redox_basecase.zip contains a folder with the model input textfiles (SEAWAT and PHT3D) for the case that considers all dynamic influence factors investigated in the paper, i.e., seasonal meteoric groundwater recharge, stormfloods, temperature-dependence of reaction rates and morphodynamics.</p> <p>The files pht3d_ph.dat and pht3d_datab.dat are PHT3D model specific files defining the reacants and reactions, and have to be copied into the model folder before PHT3D is started.</p> <p><br> Run models:</p> <p>First the SEAWAT model needs to be run with the name file 'Dynamod_1_redox_basecase.nam'. This creates the mt3d link file 'mt3d_link.ftl'. After that, PHT3D has to be started with the name file 'pht3d.nam'</p> <p>Note that running the models will generate 22 Gybte output.</p> <p><br> Pre-processing:</p> <p>All model input files were generated with the python-script Dynamod_1_redox_basebase.py using Flopy, a python-based groundwater modelling user-interface:<br> https://www.usgs.gov/software/flopy-python-package-creating-running-and-post-processing-modflow-based-models</p> <p><br> Post-processing:</p> <p>For the figures 3,4 and S1, S2 in the paper, the corresponding python scripts are provided in this database. Note that with respect to Figures 5 and S3, only the results for the case with all dynamic influence factors (Figure S3_h) are being plotted.</p> <p> </p> <p>Other model output:<br> Animation_A1_Dynamod_redox.mp4 is a video animation showing the dynamic modelled salinity and temperature distribution, and redox zoning in the subterranean estuary all dynamic influence factors investigated in the paper, i.e., seasonal meteoric groundwater recharge, stormfloods, temperature-dependence of reaction rates and morphodynamics.</p>
FIGURE 5 in First record of Amorphinopsis atlantica (Porifera: Demospongiae: Halicondriidae) in the Paraguaçu River estuary: Is its presence an invasion or an adaptation to changing environmental conditions?
FIGURE 5. Scanning electron microscopy images of Amorphinopsis atlantica spicules. (A and B) Two oxeas varying in size and curvature. (C) Style. (D) Detail of the tip of the oxea. (E) Detail of the tip of the style. (F) General view of oxeas and styles. Scale bars: A, B = 250 μm; C = 50 μm; D, E = 10 μm; F = 200 μm.
Dataset accompanying the publication: Reservoir mud releasing may suboptimize fluvial sand supply to coastal sediment budget: Modeling the impact of Shihmen Reservoir case on Tamsui River estuary
<p>Delft3D model input and output files for scenario simulations (Scenario 1, Scenario 2, and Scenario 3)</p>
Data from: Dynamics of marsh-mangrove ecotone since the mid-Holocene: a palynological study of mangrove encroachment and sea level rise in the Shark River Estuary, Florida
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Land use and land cover in communities along the Bons Sinais estuary, Mozambique
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Data from: Distribution and localised effects of the invasive ascidian Didemnum perlucidum (Monniot 1983) in an urban estuary
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Data from: Landscape genetic structure of Scirpus mariqueter reveals a putatively adaptive differentiation under strong gene flow in estuaries
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Data from: Timing and route of migration of mature female blue crabs in a tidal estuary
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Environmental parameters and DCF rates in Yangtze Estuary and coastal waters
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Data from: Forty years of seagrass population stability and resilience in an urbanizing estuary
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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.