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41 results for “Salinity gradient”
Figure 5 in Mollusk distribution in four habitats along a salinity gradient in a coastal lagoon from the Gulf of Mexico
Figure 5. MDS plot of bootstrap averages showing variations of molluscan assemblages by sites nested within a) ARE, b) MAN, c) VAS, and d) RAI. Ellipses denote approximate 95% confidence intervals and black symbols represent averages (av).
Figure 3 in Mollusk distribution in four habitats along a salinity gradient in a coastal lagoon from the Gulf of Mexico
Figure 3. MDS plot of bootstrap averages showing variation in molluscan assemblages by climatic season: cold fronts (triangles), drought (circles) and rainy (diamonds). Ellipses denote approximate 95% confidence intervals and black symbols represent averages (av).
Figure 2 in Mollusk distribution in four habitats along a salinity gradient in a coastal lagoon from the Gulf of Mexico
Figure 2. PCO showing the ordination of water environmental variables from Mecoacan lagoon. Numbers represent sites, black dots = cold fronts season, black squares = drought season, and black triangles = rainy season.
Dataset for Salinity Gradient Solar Pond under different Climatic Conditions and Soil Conditions
<p>Salinity Gradient Solar Pond as a two-dimensional model with an internal heat source. The differential equations in this model are solved using the finite difference technique in MATLAB software.</p> <p>The attached dataset includes the soil conditions, the climate of the particular site, the thickness of the solar pond layers, the depth of the water table.</p>
Data from: Body size and allometric shape variation in the molly Poecilia vivipara along a gradient of salinity and predation
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Data from: Fish and tetrapod communities across a marine to brackish salinity gradient in the Pennsylvanian (early Moscovian) Minto Formation of New Brunswick, Canada, and their palaeoecological and palaeogeographical implications
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Data from: Ecological correlates of the distribution limits of two poeciliid species across a salinity gradient
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Figure 6 in Spatio-temporal distribution of Acartia (Copepoda: Calanoida) species along a salinity gradient in the Seomjin River estuary, South Korea
Figure 6. Seasonal changes in the abundance-temperature-salinity diagram of (A) Acartia ohtsukai; (B) A. forticrusa. Showing peak abundance in relation to temperature and salinity conditions.
Figure 5 in Spatio-temporal distribution of Acartia (Copepoda: Calanoida) species along a salinity gradient in the Seomjin River estuary, South Korea
Figure 5. Seasonal changes in the abundance-temperature-salinity diagram of (A) Acartia hudsonica; (B) A. omorii. Showing peak abundance in relation to temperature and salinity conditions.
Figure 4 in Spatio-temporal distribution of Acartia (Copepoda: Calanoida) species along a salinity gradient in the Seomjin River estuary, South Korea
Figure 4. Temporal variation in the four Acartia species abundance at all sampling stations. (A). A. hudsonica; (B) A. omorii; (C) A. ohtsukai; (D) A. forticrusa.
Figure 3 in Spatio-temporal distribution of Acartia (Copepoda: Calanoida) species along a salinity gradient in the Seomjin River estuary, South Korea
Figure 3. Monthly spatial and temporal variation in salinity between surface and bottom layers at all sampling stations. Bold line indicating salinity overlaps between sampling stations.
Figure 2 in Spatio-temporal distribution of Acartia (Copepoda: Calanoida) species along a salinity gradient in the Seomjin River estuary, South Korea
Figure 2. Monthly spatial and temporal variation in water temperature and chlorophyll a concentration in the Seomjin River Estuary: (A) temperature (°C); (B) chlorophyll a (µg l–1).
Data from: Local adaptation and oceanographic connectivity patterns explain genetic differentiation of a marine diatom across the North Sea-Baltic Sea salinity gradient
Drivers of population genetic structure are still poorly understood in marine micro-organisms. We exploited the North Sea–Baltic Sea transition for investigating the seascape genetics of a marine diatom, Skeletonema marinoi. Eight polymorphic microsatellite loci were analysed in 354 individuals from ten locations to analyse population structure of the species along a 1500-km-long salinity gradient ranging from 3 to 30 psu. To test for salinity adaptation, salinity reaction norms were determined for sets of strains originating from three different salinity regimes of the gradient. Modelled oceanographic connectivity was compared to directional relative migration by correlation analyses to examine oceanographic drivers. Population genetic analyses showed distinct genetic divergence of a low-salinity Baltic Sea population and a high-salinity North Sea population, coinciding with the most evident physical dispersal barrier in the area, the Danish Straits. Baltic Sea populations displayed reduced genetic diversity compared to North Sea populations. Growth optima of low salinity isolates were significantly lower than those of strains from higher native salinities, indicating local salinity adaptation. Although the North Sea–Baltic Sea transition was identified as a barrier to gene flow, migration between Baltic Sea and North Sea populations occurred. However, the presence of differentiated neutral markers on each side of the transition zone suggests that migrants are maladapted. It is concluded that local salinity adaptation, supported by oceanographic connectivity patterns creating an asymmetric migration pattern between the Baltic Sea and the North Sea, determines genetic differentiation patterns in the transition zone.
Figure 1 in Mollusk distribution in four habitats along a salinity gradient in a coastal lagoon from the Gulf of Mexico
Figure 1. Location of Mecoacan lagoon and study sites (S1 – S6).
Figure 3 in Distribution of earthworm growth stages along a naturally occurring soil salinity gradient
Figure 3. Scatterplot with locally weighted regression lines for observations of total earthworm densities and (A) electrical conductivity of saturated paste (EC e), and (B) soil organic matter for all observations for all years (n = 75). Spearman correlation coefficients (rho) and associated p-values indicate strong relationships in opposite directions.
Figure 2 in Distribution of earthworm growth stages along a naturally occurring soil salinity gradient
Figure 2. Mean live earthworm and cocoon densities to 15 cm depth for each growth stage recovered from each plot in each year (n = 5). Salinity levels increase with plot number.
Data from: Local adaptation and oceanographic connectivity patterns explain genetic differentiation of a marine diatom across the North Sea-Baltic Sea salinity gradient
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Physiological trade-off and transcriptome reprogramming are involved in acclimation to salinity gradient in diatoms
GEO Series GSE73987. Conticribra weissflogii. 6 samples. Type: Expression profiling by high throughput sequencing.
Gene Expression in Prokaryotic Microbial Assemblages Across Salinity Gradients in the Columbia River Coastal Margin
GEO Series GSE18303. Archaea; Bacteria; uncultured prokaryote. 64 samples. Type: Expression profiling by array.
Figure 1 in Spatio-temporal distribution of Acartia (Copepoda: Calanoida) species along a salinity gradient in the Seomjin River estuary, South Korea
Figure 1. Sampling stations in the Seomjin River estuary, Southern Korea.
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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.