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677 results for “coastal waters”
Figure 1 from: Lee S, Soh HY, Lee W (2019) A new species in the genus Acartia Dana, 1846 (Crustacea, Copepoda, Calanoida, Acartiidae) from the South Pacific coastal waters of Nadi Bay, Fiji. ZooKeys 893: 69-89. https://doi.org/10.3897/zookeys.893.38369
Figure 1 Acartia nadiensis sp. nov. female. A Habitus, dorsal B habitus, lateral C urosome, ventral. Scale bars: in μm.
Figure 5 from: Lee S, Soh HY, Lee W (2019) A new species in the genus Acartia Dana, 1846 (Crustacea, Copepoda, Calanoida, Acartiidae) from the South Pacific coastal waters of Nadi Bay, Fiji. ZooKeys 893: 69-89. https://doi.org/10.3897/zookeys.893.38369
Figure 5 Acartia nadiensis sp. nov. male. A Habitus, dorsal B habitus, lateral C P5. Scale bars: in μm.
Figure 2 from: Lee S, Soh HY, Lee W (2019) A new species in the genus Acartia Dana, 1846 (Crustacea, Copepoda, Calanoida, Acartiidae) from the South Pacific coastal waters of Nadi Bay, Fiji. ZooKeys 893: 69-89. https://doi.org/10.3897/zookeys.893.38369
Figure 2 Acartia nadiensis sp. nov. female. A Rostrum and antennule (part, 1st to 8th segment) B antennule (part, 8th to 18th segment) C antenna D P5. Scale bars: in μm.
Figure 8 from: Lee S, Soh HY, Lee W (2019) A new species in the genus Acartia Dana, 1846 (Crustacea, Copepoda, Calanoida, Acartiidae) from the South Pacific coastal waters of Nadi Bay, Fiji. ZooKeys 893: 69-89. https://doi.org/10.3897/zookeys.893.38369
Figure 8 Acartia nadiensis sp. nov. Scanning electron micrographs. A Female, urosome and caudal rami, ventral view B male, rostrum C male, 1st urosomite D male, 2nd–4th urosomite, dorsal view E male, 1st urosomite, lateral view F male, 2nd urosomite, lateral view G male, 5th urosomite and caudal rami, dorsal view H male, 4th urosomite and caudal rami, ventral view. Scale bars: in μm.
Figure 7 from: Lee S, Soh HY, Lee W (2019) A new species in the genus Acartia Dana, 1846 (Crustacea, Copepoda, Calanoida, Acartiidae) from the South Pacific coastal waters of Nadi Bay, Fiji. ZooKeys 893: 69-89. https://doi.org/10.3897/zookeys.893.38369
Figure 7 Acartia nadiensis sp. nov. Scanning electron micrographs. A Female, rostrum B female, P5 C female, P5, terminal spine D female, genital double-somite E female, genital field F female, 1st urosomite, dorsal view G female, 2nd urosomite, lateral view H female, caudal rami, dorsal view. Scale bars: in μm.
Coastal stormwater wet pond water quality and sediment nitrogen cycling across a range of temperatures and antecedent precipitation
<p>This dataset contains measurements of water quality and gas and nutrient fluxes from stormwater wet pond sediments in coastal North Carolina, USA. Includes measurements from seven sampling events across a range of temperatures (19 - 31 degrees C) and antecedent precipitation.</p>
Data from: Population structure, gene flow, and historical demography of a small coastal shark (Carcharhinus isodon) in US waters of the Western Atlantic Ocean
Patterns of population structure, genetic demographics, and gene flow in the small coastal shark Carcharhinus isodon (finetooth shark) sampled from two discrete nurseries along the southeastern US coast (Atlantic) and three nurseries in the northern Gulf of Mexico (Gulf), were assessed using 16 nuclear-encoded microsatellites and 1077 base pairs of the mitochondrial DNA (mtDNA) control region. Significant heterogeneity in microsatellite allele distributions was detected among all localities except between the two in the Atlantic. Significant heterogeneity in mtDNA haplotypes was not detected, a result likely due to extremely low mtDNA diversity. The genetic discontinuities combined with seasonal movement patterns, a patchy distribution of appropriate nursery habitat, the apparent absence of sex-biased gene flow, and the occurrence of mating in the vicinity of nursery areas, suggest that both male and female finetooth sharks display regional philopatry to discrete nursery areas. Global and local tests of neutrality, using mtDNA haplotypes, and demographic model testing, using Approximate Bayesian Computation of microsatellite alleles, supported a range-wide expansion of finetooth sharks into US waters occurring less than ∼9000 years ago. These findings add to the growing number of studies in a variety of coastally distributed marine fishes documenting significant barriers to gene flow around peninsular Florida and in the eastern Gulf. The findings also provide further evidence that the traditional model of behavioural ecology, based on large coastal sharks, may not be appropriate for understanding and conserving small coastal sharks.
FIGURE 1 in A review of the coastal marsh water beetle Ochthebius queenslandicus Hansen (Coleoptera: Hydraenidae)
FIGURE 1. Ochthebius queenslandicus, holotype. Dorsal and lateral habitus.
FIGURE 6 in A review of the coastal marsh water beetle Ochthebius queenslandicus Hansen (Coleoptera: Hydraenidae)
FIGURE 6. Geographical distribution of Ochthebius queenslandicus.
FIGURE 1 in Review of amphipods of the Melita group (Amphipoda: Melitidae) from the coastal waters of Sakhalin Island (Far East of Russia). II. Genera Quasimelita Jarrett & Bousfield, 1996 and Melitoides Gurjanova, 1934
FIGURE 1. Distribution of Quasimelita species on the shelf of Sakhalin Island and nearest area.
FIGURE 24 in Review of amphipods of the Melita group (Amphipoda: Melitidae) from the coastal waters of Sakhalin Island (Far East of Russia). II. Genera Quasimelita Jarrett & Bousfield, 1996 and Melitoides Gurjanova, 1934
FIGURE 24. Distribution of Melitoides species on the shelf of Sakhalin Island and nearest area.
FIGURE 35 in Review of amphipods of the Melita group (Amphipoda: Melitidae) from the coastal waters of Sakhalin Island (Far East of Russia). III. Genera Abludomelita Karaman, 1981 and Melita Leach, 1814
FIGURE 35. Phenogram of Melita species.
FIGURE 21 in Review of amphipods of the Melita group (Amphipoda: Melitidae) from the coastal waters of Sakhalin Island (Far East of Russia). III. Genera Abludomelita Karaman, 1981 and Melita Leach, 1814
FIGURE 21. Distribution of Melita species in the coastal waters of Sakhalin Island.
FIGURE 34 in Review of amphipods of the Melita group (Amphipoda: Melitidae) from the coastal waters of Sakhalin Island (Far East of Russia). III. Genera Abludomelita Karaman, 1981 and Melita Leach, 1814
FIGURE 34. Phenogram of Abludomelita species.
FIGURE 2 in Review of amphipods of the Melita group (Amphipoda: Melitidae) from the coastal waters of Sakhalin Island (Far East of Russia). III. Genera Abludomelita Karaman, 1981 and Melita Leach, 1814
FIGURE 2. Distribution of Abludomelita species on the shelf of Sakhalin Island and nearest area.
FIGURE 1 in Review of amphipods of the Melita group (Amphipoda: Melitidae) from the coastal waters of Sakhalin Island (Far East of Russia). III. Genera Abludomelita Karaman, 1981 and Melita Leach, 1814
FIGURE 1. Phenogram of Melita species and sister genera.
FIGURE 1 in Nephtys bangladeshi n. sp., a new species of Nephtyidae (Annelida: Phyllodocida) from Bangladesh coastal waters
FIGURE 1. Map showing the collection locality (A) of the species, Nephtys bangladeshi n. sp.
How is copepod functional diversity shaped by 2015-2016 El Niño and seasonal water masses in a coastal ecosystem of Southwest Atlantic?
<p>Figure S1: a) El Niño-Southern Oscillation episodes. Index values (Oceanic Niño Index - ONI) of +0.5 or higher indicate El Niño; values of -0.5 or lower indicate La Niña (dotted line). Transparent gray shade represents the period of interest (2014-2016), b) Pixel contour plots show satellite-based sea surface temperature monthly means in the Arvoredo MPA surroundings. Data visualization standard plots from the zooplankton time series adopted by SCOR WG125 (Mackas et al., 2012) and performed at http://www.st.nmfs.noaa.gov/copepod/.</p><p>Table S1 – Taxa code and functional traits of copepod species during the summer and winter of 2014, 2015, and 2016 in the Arvoredo MPA surroundings.</p><p>Table S2 – Total and mean abundance (ind. m-3), standard deviation (SD), relative abundance (RA %), and frequency of occurrence (FO %) of copepod species during the summer and winter of 2014, 2015, and 2016 in the Arvoredo MPA surroundings.</p><p> </p>
Impact of surface water-groundwater interactions on residual saltwater desalinization behind subsurface dams in coastal aquifers
Open the record for dataset details and reuse information.
Potential distribution of seagrass meadows based on MaxEnt model in Chinese coastal waters
<p><span>Seagrass meadows are generally diverse in China and have the same essential ecosystem services as elsewhere. However, an evaluation of seagrass distribution across China is still lacking, and the magnitude and direction of changes in seagrass meadows remains unclear. Our primary objective was to provide a nationwide seagrass distribution map, and to explore the dynamic changes of seagrass population under global climate change. We use simulation studies within the modelling software MaxEnt with 58961 occurrence records and 27 marine environmental variables, to simulate the potential distribution of seagrasses and calculate the area. 7 environmental variables were deleted before the modelling processes based on a correlation analysis to ensure predicted suitability. The predicted area was 790.09 km<sup>2</sup>, which is much larger than the known seagrass distribution in China, and would be increased to 923.62 km<sup>2</sup> by the year 2100. However, the suitable habitat of almost all seagrass will shift northwest in the future. The sum of individual family will under-predict the national distribution of seagrass, showed a downward trend consistently in the future. Out of all environmental variables, the physical ones (e.g. depth, land distance and sea surface temperature) had the greatest contribution in predicting seagrass distributions, and nutrients (e.g. nitrate, phosphate) ranked among the key influential predictors for habitat suitability in our focal area. As this is a first effort to fill a gap in our understanding of the distribution of seagrass in China, further studies are necessary using both modeling and biological/ecological approaches. </span></p>
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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.