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738 results for “estuary”
Breeding bird data using 50 m radius counting circles for the Parker River National Wildlife Refuge, Plum Island estuary, Massachusetts
This file contains breeding bird censuses using 50 m radius counting circles at locations on Plum Island, Massachusetts in the Parker River National Wildlife Refuge, Massachusetts.
Data from: Modelling the potential impacts of climate change on the distribution of ichthyoplankton in the Yangtze Estuary, China
<p><span><a name="_Hlk10553342"><b>Aim: </b></a>Species distribution models (SDMs) are an effective tool to explore the potential distribution of terrestrial, freshwater, and marine organisms; however, SDMs have been seldom used to model ichthyoplankton distributions and thus our understanding of how larval stages of fishes will respond to climate change is still limited. Here, we developed SDMs to explore potential impacts of climate change on habitat suitability of ichthyoplankton.</span></p> <p><span><b>Location: </b>Yangtze Estuary, China</span></p> <p><span><b>Methods: </b>Using long-term ichthyoplankton survey data and a large set of marine predictor variables, we developed ensemble SDMs for five abundant ichthyoplankton species in the Yangtze Estuary (<i>Coilia mystus</i>, <i>Hypoatherina valenciennei</i>, <i>Larimichthys polyactis</i>, <i>Salanx ariakensis</i>, and <i>Chelidonichthys spinosus</i>). Then, we projected their habitat suitability under present and future climate conditions.</span></p> <p><span><b>Results: </b>The ensemble SDMs had good predictive performance and were successful in estimating the known distributions of the five species. Model projections highlighted two contrasting patterns of response to future climates: while <i>C. mystus</i> will likely expand its range, the ranges of the other four species will likely contract and shift northward.</span></p> <p><span><b>Main conclusions: </b><a name="_Hlk15635552">According to our SDM projections, the five ichthyoplankton species that we tested in the Yangtze Estuary are likely to respond differently to future climate changes. These projected different responses seemingly reflect the differential functional attributes and life history strategies of these species. </a>To the extent that climate change emerges as a critical driver of the future distribution of these species, our findings provide an important roadmap for designing future conservation strategies for ichthyoplankton in this region.</span></p>
Demographic and growth rings data of Pentaclethra macrolona in the Amazon River estuary
<p>Little is known about the natural history of the hyperdominant Amazonian tree <em>Pentaclethra macroloba</em>. It has multiple uses and is widely explored, due to the important phytotherapy properties of the oil of its seeds. We determined the demographic and growth patterns of <em>P. macroloba</em> and analyzed the influence of the daily tide in its growth trajectory. We studied populations of <em>P. macroloba</em> in the APA and CEM, northeast of the Brazilian Amazon. In 136.59 ha of the APA, all adult trees with diameter ≥ 5 cm were quantified and two plots of 1 ha each were installed for sampling of the regeneration (diameter < 5 cm). Samples of the radial wood of 38 trees were obtained to determine age and growth rates, through dendrochronological analyzes. In CEM, exchange activity of 30 trees, at different topographic levels, was monitored by dendrometer bands. The effect of precipitation, temperature and flood on the exchange activity of <em>P. macroloba</em> was evaluated using multiple regressions. We model the growth of the species based on the widths of its growth rings. We invented 2,072 adult trees (15 individuals ha<sup>-1</sup>), distributed in 12 diametric classes (log-normal pattern), mean diameter of 23 cm, total basal area 98.13 m², height mean of 12.7 m and aggregate distribution pattern (R = 0.63, p <0.002). 240 regenerants (120 individuals ha-1) were quantified, distributed in nine diametric classes (negative exponential pattern), mean height of 0.63 m and aggregate pattern. Growth rings formed by marginal parenchyma show maximum age of 102 years and mean of 60 years for <em>P. macroloba</em>. The relationship between age and diameter was highly significant (r<sup>2</sup> = 0.98; p <0.001), as well as the relationship between height and diameter (r<sup>2</sup> = 0.79; p <0.001). The growth models show increment peaks in diameter and height at the age of 46 years (9.38 mm year<sup>-1</sup>) and 20 years (48.2 cm year<sup>-1</sup>) respectively. Greatest accumulation of biomass occurred at the age of 66 years (40.8 kg year<sup>-1</sup>). <em>P. macroloba</em> presents exchange dormancy in the rainy season (t = -2.62; p <0.01) and of river flooding (t = -3.01; p < 0.01). The existence of rings in <em>P. macroloba</em> is an important discovery, as only <em>Mora paraensis</em> had growth rings record in the Amazon estuary. The structural and growth patterns of <em>P. macroloba</em> are reflections of its life history and interactions with the environmental dynamics of estuarine floodplain.</p>
Data from: Oyster aquaculture impacts Zostera marina epibiont community composition in Akkeshi-ko estuary, Japan
Coastal fisheries are in decline worldwide, and aquaculture has become an increasingly popular way to meet seafood demand. While finfish aquaculture can have substantial adverse effects on coastal ecosystems due mostly to necessary feed inputs, bivalves graze on natural phytoplankton and are often considered for their positive ecosystem services. We conducted two independent studies to investigate the effects of long-line Crassostrea gigas oyster aquaculture on Zostera marina seagrass beds and associated epibiont communities in Akkeshi-ko estuary, Japan. Results from both studies yielded no evidence of an effect of oyster aquaculture on the morphology, density, or biomass of Z. marina, but significant differences were apparent in the epibiont community. Reference seagrass beds located away from aquaculture had higher seagrass epiphyte loads and higher abundances of amphipods. Conversely, seagrass beds below aquaculture lines had higher sessile polychaete biomass and higher isopod abundances. Our results suggest that the presence of oyster aquaculture may have indirect effects on seagrass by changing epibiont community composition and relative abundances of species. One proposed mechanism is that cultured oysters feed on epiphytic diatoms and epiphyte propagules before they can settle on the seagrass, which reduces epiphyte loads and influences subsequent faunal settlement. If carefully implemented and monitored, long-line oyster aquaculture may be a sustainable option to consider as bivalve aquaculture expands to meet global seafood demand, but further work is needed to fully assess and generalize the community-level effects on seagrass epibionts.
CMOP 2012 AUV-WP Columbia River estuary benchmark data set
<p>Observational data set from the Columbia River estuary North Channel. The data were collected during two campaigns during May and October-November 2012.</p> <p>Included are Automated Underwater (AUV) mission, and ship-mounted whiched profiler (WP) data sets. Outputs from numerical circulation model are also included.</p> <p>See the README.txt in each zip file for further information.</p>
Widespread warming of Earth's estuaries
<p><i>Water temperature responses to climate change may vary across Earth's estuaries. To understand how climate change influences estuarine surface water temperature, we need global, long-term records of estuarine temperature. Here, we generated spatially explicit data of surface water temperature over 1,060 estuaries globally using Landsat 5, 7 and 8 from 1985 to 2022 and compared water warming rates with local air temperature warming rates. 47% of Earth's estuaries are warming, with a global average warming rate of 0.070 ± 0.004 degree Celsius/year (median = 0.060 degree Celsius/year). Estuaries at higher latitudes showed rapid warming. A 1 </i>degree<i> Celsius increase in air temperature could lead to a 0.81 degree Celsius increase in estuarine surface water warming, or 1.3 degrees Celsius in estuaries above 60.5 degrees North. We inferred the potential influences over estuarine warming based on distinct global spatial patterns in water and air warming, or lack of warming, and </i>discussed<i> implications for estuarine carbon cycling.</i></p>
Particle tracking data in idealized and realistic estuary models
<p>Particle tracking data in the realistic North River estuary model, Delaware estuary model, and idealized estuary models with different channel dimensions.</p>
Dataset from Reese et al.: "Local Mixing Determines Spatial Structure of Diahaline Exchange Flow in a Mesotidal Estuary: A Study of Extreme Runoff Conditions" - PART 1
<p>Model data from the numerical setup of the tidal Elbe presented in Reese et al. (2023): "Local Mixing Determines Spatial Structure of Diahaline Exchange Flow in a Mesotidal Estuary: A Study of Extreme Runoff Conditions" [1]</p><p>PART 1</p><p>Each file contains data for a full month, as given through the file naming convention: description.YYYYMMDD.nc4</p><p>The numerical model uses terrain-following sigma coordniates, with sigma level 0 being the bottommost layer.</p><p>Certain variables are also given in salinity class bins of dimension salt_s instead of vertical coordinates.</p><p>Explanation of each data type:</p><ul><li> 2D_elv_all: Spatially resolved simulated surface elevation from 08/2012 to 12/2013: Tidal analysis Fig. 4, Table 1 (simulated surface elevation vs. time)<ul><li>5 min snapshots</li></ul></li><li>Elbe_dia_getm_all: Diahaline analysis Fig. 8, 11: on-line GETM computation of u_dia,z^S in September 2012 and June 2013<ul><li>44700s temporal resolution (M2 tidal period); averaged over each period</li></ul></li><li>Elbe_TEF_mean_all: Total Exchange Flow analysis in September 2012 and June 2013, Fig.s 7, 8<ul><li>1-hourly averages</li></ul></li><li>Mixing_mean_all: Physical and numerical Mixing from 08/2012 to 12/2013. Fig. 7, 8, 9, 10, 11<ul><li>44700s temporal resolution (M2 tidal period); averaged over each period</li></ul></li><li>ST_stations: Surface elevation at given location for comparison with observational data at named station from 08/2012 to 12/2013<ul><li>5 min snapshots</li></ul></li><li>SST_stations: Salinity and temperature at given location for comparison with observational data at named station from 08/2012 to 12/2013; Fig. 3, Fig. 5, Table 2<ul><li>30-min snapshots</li></ul></li></ul><p> </p><p>[1] L. Reese, U. Graewe, K. Klingbeil, X. Li, M. Lorenz, H. Burchard, 2023:</p><p> Local mixing determines spatial structure of diahaline exchange flow in a</p><p> mesotidal estuary – a study of extreme runoff conditions.</p><p> J. Phys. Oceanogr., in press.</p>
Dataset from Reese et al.: "Local Mixing Determines Spatial Structure of Diahaline Exchange Flow in a Mesotidal Estuary: A Study of Extreme Runoff Conditions" - PART 2
<p>Model data from the numerical setup of the tidal Elbe presented in Reese et al. (2023): "Local Mixing Determines Spatial Structure of Diahaline Exchange Flow in a Mesotidal Estuary: A Study of Extreme Runoff Conditions" [1]</p><p>PART 2</p><p>Each file contains data for a full month, as given through the file naming convention: description.YYYYMMDD.nc4</p><p>The numerical model uses terrain-following sigma coordniates, with sigma level 0 being the bottommost layer.</p><p>Certain variables are also given in salinity class bins of dimension salt_s instead of vertical coordinates.</p><p>Explanation of each data type:</p><ul><li>Mean_all: Spatially resolved, temporally varying salt distribution in the Elbe estuary: Fig. 6, 10<ul><li>1-hourly averages</li></ul></li></ul><p> </p><p>[1] L. Reese, U. Graewe, K. Klingbeil, X. Li, M. Lorenz, H. Burchard, 2023:</p><p> Local mixing determines spatial structure of diahaline exchange flow in a</p><p> mesotidal estuary – a study of extreme runoff conditions.</p><p> J. Phys. Oceanogr., in press.</p>
Supplementary data for "Increasing risks of extreme salt intrusion events across European estuaries in a warming climate", published in Communications Earth & Environment
<p>This data repository contains python scripts and post-processed climate model and salt intrusion length data to reproduce figures in the paper below.</p> <p>====================</p> <p>Title: Increasing risks of extreme salt intrusion events across European estuaries in a warming climate (<a href="https://www.nature.com/articles/s43247-024-01225-w">Link to the full paper</a>)</p> <p>Author: Jiyong Lee, Bouke Biemond, Huib de Swart, and Henk A. Dijkstra</p> <p>Journal: Communications Earth & Environment</p> <p>Year: 2024</p> <p>Publisher: Nature</p> <p>====================</p>
Data from: Substantial pulses of aquatic insects emerge from tidal freshwaters along the James River Estuary, Virginia, USA
<p>Tidal freshwaters in upper estuarine reaches provide important ecosystem services but are threatened by relative sea-level rise and pollution from increased development. Tidal freshwaters are highly productive and support estuarine and riparian food webs alike. Aquatic insects are common prey subsidies crossing into riparian habitats; however, the magnitude, timing, and composition of insect emergence in tidal systems has received little attention. Our objective was to better understand the magnitude and variability of aquatic insect emergence in tidal freshwaters. To do so, we quantified insect emergence from tidal creeks and estuarine shorelines of the James Estuary, Virginia, USA, and characterized spatial and temporal patterns in the amount of emergent biomass. We continuously monitored insect emergence from 7 April to 8 November 2019 with floating emergence traps to estimate daily emergence, then used generalized additive mixed models to analyze spatial and temporal variation in daily emergence rates. We estimated aquatic insect biomass to emerge at a mean rate (±1 SE) of 15.6 ± 2.0 g dry mass m −2 y −1, which is among the highest of previously published estimates from nontidal systems (mean ±1 SE = 12.9 ± 6.2 g dry mass m −2 y −1 ). Spatial variability in emergence was highly taxon specific. Diptera and Trichoptera had more biomass emerging from the subtidal than intertidal zone, Odonata biomass emerged more from tidal creeks than along the estuarine shoreline, and the amount of Trichoptera biomass increased, whereas Ephemeroptera decreased, with distance from the estuarine shoreline. The magnitude and composition of emergent taxa varied throughout the sampling period, with sequential peaks in biomass that altered the prey available to riparian consumers. Our results suggest that tidal freshwaters export substantial quantities of aquatic insects, which are valuable prey items for riparian consumers in these systems.</p>
Data from: Interplay between wind-driven advection and mixing of salt and dissolved oxygen in a microtidal estuary
<p>Most work on how estuarine dynamics impact dissolved oxygen (DO) distributions has focused on tides as the primary mixing mechanism, but in shallow estuaries with large fetch or small tides, wind can be the primary mixing agent and also drives advection. To investigate how these processes interact and affect DO distributions, an observational study was conducted in the shallow, micro-tidal Neuse Estuary (NRE). Salinity, DO, and velocity profiles were measured at multiple positions along and across the estuary over a 6-month period. A one-dimensional model (General Ocean Turbulence Model) provided additional insight into the response of salinity and DO to wind. Salinity and oxygen conservation equation terms were calculated from observations and simulations to investigate the roles of advection and mixing under different conditions. Cross-estuary wind drove lateral circulations and tilted the isohalines, reducing stratification; lateral advection and enhanced vertical mixing reduced vertical gradients and increased the bottom DO. Down-estuary wind tended to increase the exchange flow and increase stratification, but concurrently the wind-driven surface turbulent boundary layer deepened over time. The balance of these processes determined if the water column became fully mixed or remained stratified, and the depth of the pycnocline and oxycline. Up-estuary wind inhibited the exchange flow and ultimately the combination of advection and vertical mixing homogenized the water column. While these patterns generally held for purely across- or along-channel wind, the response was often more complex because the wind vector could have any orientation and wind speed and direction varied continuously with time.</p>
Temporal and spatial variation of zooplankton in relation to environmental variables in the upper Santos estuary, São Paulo, Brazil
<p><span>Zooplankton samples were collected through oblique trawls with a 200 µm net with a flow meter during low tide, at 4 sampling sites with different degrees of salinity in the upper Santos estuary, in 28 campaigns carried out between 2014 and 2023, to analyze the spatial and temporal variations in the structure and abundance of zooplankton in relation to environmental variables using data from a long-term monitoring, in this way, contributing to the update of knowledge about the zooplankton community of the Santos estuary. </span></p>
Bivalve facilitation mediates seagrass recovery from physical disturbance in a temperate estuary
<p>This dataset describes two experiments done in seagrass beds in Back Sound, North Carolina. Experiment 1 was located in a large<i> </i>contiguous shallow seagrass bed near Cape Lookout, NC<i> </i>(34.668121, -76.509455) and Experiment 2 was located in the Rachel Carson Estuarine Reserve, Beaufort, NC (34.698799, -76.595439). Experiment 1 was a clam-addition/control experiment, and 2018/2019 summer growth rates, 2018/2019 summer biomass cores, and 2018/2019 epiphytic load on <i>Zostera marina </i>and <em>Halodule wrightii </em>were sampled. Experiment 2 was a two-factor experiment looking at clam-addition and excavation and 2019 summer growth rates, 2019/2020 summer biomass cores, and 2019/2020 recolonization and percent cover were sampled. To document the spatial characteristics of the experimental areas, we mapped the extent of the contiguous seagrass bed and the coordinates of the experimental plots and subplots with a Trimble R10 Integrated GNSS system in May 2018, June 2018, and July 2019 for Experiment 1 and April 2019 and July 2019 for Experiment 2 in the NAD83 coordinate system.</p>
Data in support of manuscript "Impacts of storm surge barriers on drag, mixing, and exchange flow in a partially mixed estuary" submitted to JGR-Oceans
<p>Data set in support of manuscript "Impacts of storm surge barriers on drag, mixing, and exchange flow in a partially mixed estuary" submitted to JGR-Oceans in November 2021. Matlab script (makeFigs_barDragMix_upload.m) is used to generate the figures from the manuscript. Data files (*.mat) correspond with each figure (*.png). For questions or additional information please contact D. Ralston.</p>
Variable freshwater influences on the abundance of vibrio vulnificus in a tropical urban estuary
<p>Our data illustrate that, in the absence of strong seasonal variation in water temperature in the tropics, variation in salinity driven by rainfall becomes a primary controlling variable on V. vulnificus abundance. There is thus a tendency for a rainfall-driven seasonal cycle in V. vulnificus abundance which is inverted from the temperature-driven seasonal cycle at higher latitudes.</p>
Fig. 1 in Distribution Of Trematodes Cryptokotyle (Trematoda, Heterophyidae), In Fish Of The Family Gobiidae In The Estuary Waters And The Black Sea In Southern Ukraine
Fig. 1. Sites of material collection.
Fig. 4. C in Distribution Of Trematodes Cryptokotyle (Trematoda, Heterophyidae), In Fish Of The Family Gobiidae In The Estuary Waters And The Black Sea In Southern Ukraine
Fig. 4. C. jejuna in motionduring microscopy of mucus. х200 magnification.
Fig.1 in Infection Of Predatory Fish With Larvae Of Eustrongylides Excisus (Nematoda, Dioctophymatidae) In The Delta Of The Dnipro River And The Dnipro-Buh Estuary In Southern Ukraine
Fig.1. Sites of the material collection.
Fig. 6. S in Infection Of Predatory Fish With Larvae Of Eustrongylides Excisus (Nematoda, Dioctophymatidae) In The Delta Of The Dnipro River And The Dnipro-Buh Estuary In Southern Ukraine
Fig. 6. S-shaped bend of intestinal tube in E. еxcisus larva from perch. x400 magniFIcatoin.
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.