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288 results for “marine coasts”
Functional biogeography of coastal marine invertebrates along the south-eastern Pacific coast
<p><span>Characterizing the spatial structure of taxonomic and functional diversity (FD) of marine organisms across regional and latitudinal scales is essential for improving our understanding of the processes driving species richness and those that may constrain or enhance the set of species traits that define the functional structure of communities. Here, we present the functional diversity of coastal invertebrate macrofaunal species along the south-eastern Pacific, from 7°N to 56°S, we describe spatial variation of species traits, and examine the relationship with environmental variables. </span><span>We define the functional traits and the distribution range of 2350 marine macroinvertebrates to calculate eight metrics of FD. Random forest regression was applied to identify significant relationships between FD and six environmental variables. Finally, functional ß</span><span>-turnover was estimated to detect alongshore shifts in functional structure and their coincidence with biogeographical domains. </span><span>In contrast with taxonomic richness, measures of trait differences, functional space and functional specialisation increase with latitude, while functional evenness exhibits a humpback shape, peaking at mid-latitudes. Functional redundancy decreases significantly poleward, while indications of vulnerability increase. In contrast to taxonomic richness, FD was tightly connected to variables indicative of stress and productivity, such as dissolved oxygen and nutrients. Sea surface temperature and coastal area best explained the increased FD redundancy towards the tropics. The high spatial correlation between taxonomic and functional ß-turnover suggests environmental filters play an important role in the functional structure of the seascape. </span><span>Our findings suggest that processes favouring taxonomic richness are latitudinally divergent from those favouring functional diversity. Correlations with environmental variables suggest that increased sea surface temperature and measures of stability increase redundancy, while variation in dissolved oxygen and nutrients positively affect functional diversification. Moreover, the functional diversity patterns suggest low resilience of high-latitude coastal ecosystems, which are heavily exploited and threatened by climate change, hence highlighting the urgent need for effective conservation policies.</span></p>
Functional biogeography of coastal marine invertebrates along the south-eastern Pacific coast
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Genetic diversity of a marine foundation species, Laminaria hyperborea (Phaeophyceae Laminariales), along the coast of Ireland
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Strandings of marine mammals, sea turtles and seabirds along the northern São Paulo coast, Brazil, from 2015 to 2018.
<p><span><span><span>To assess the potential impacts on seabirds, turtles and marine mammals from oil and gas production from the oceanic Pre-Salt province at Brazil's Santos Basin, the Brazilian environmental agency (IBAMA) required PETROBRAS, the main oil company in the basin, to implement the "Programa de Monitoramento de Praias da Bacia de Santos" (Santos Basin Beach Monitoring Program - PMP-BS). Since 2015 PMP-BS has been operating along the states of Santa Catarina, Paraná, São Paulo and Rio de Janeiro, to collect biological data from live and dead stranded animals. This dataset comprises the first three years of monitoring (September 2015 to August 2018) along the northern São Paulo State coastline, from 23°22'17.366" S 44°47'0.479" W to 23°45'24.046" S 45°50'23.335" W. During this period, 5450 animals of 47 species were recorded, 82.11% of which were dead and 17.89% alive when first observed. This dataset represents the first high-intensity monitoring effort in the area and is essential to establish baselines for future work that seek to better understand the impacts of human activities on marine ecosystems.</span></span></span></p>
Strandings of marine mammals, sea turtles and seabirds along central Santa Catarina coast, Brazil, from 2015 to 2018.
<p><span><span><span>To assess the potential impacts on seabirds, turtles and marine mammals from oil and gas production from the oceanic Pre-Salt province at Brazil's Santos Basin, the Brazilian environmental agency (IBAMA) required PETROBRAS, the main oil company in the basin, to implement the "Programa de Monitoramento de Praias da Bacia de Santos" (Santos Basin Beach Monitoring Program - PMP-BS). Since 2015 PMP-BS has been operating along the states of Santa Catarina, Paraná, São Paulo and Rio de Janeiro, to collect biological data from live and dead stranded animals. This dataset comprises the first three years of monitoring (September 2015 to August 2018) along Santa Catarina state's central coast, from 27°23'7.357" S 48°26'2.519" W to 27°50'24.231" S 48°33'48.706" W. During this period, 5497 animals of 46 species were recorded, 86.90% of which were dead and 13.10% alive when first observed This dataset represents the first high-intensity monitoring effort in the area and is essential to establish baselines for future work that seek to better understand the impacts of human activities on marine ecosystems.</span></span></span></p>
Strandings of marine mammals, sea turtles and seabirds along the central-south coast of São Paulo, Brazil, from 2015 to 2018.
<p><span><span><span>To assess the potential impacts on seabirds, turtles and marine mammals from oil and gas production from the oceanic Pre-Salt province at Brazil's Santos Basin, the Brazilian environmental agency (IBAMA) required PETROBRAS, the main oil company in the basin, to implement the "Programa de Monitoramento de Praias da Bacia de Santos" (Santos Basin Beach Monitoring Program - PMP-BS). Since 2015 PMP-BS has been operating along the states of Santa Catarina, Paraná, São Paulo and Rio de Janeiro, to collect biological data from live and dead stranded animals. This dataset comprises the first three years of monitoring (September 2015 to August 2018) along the central-south São Paulo state coastline, from 24°1'1.248" S 46°23'52.026" W to 24°26'49.147" S 47°4'49.505" W. During this period, 3790 animals of 47 species were recorded, 94.88% of which were dead and 5.12% alive when first observed. This dataset represents the first high-intensity monitoring effort in the area and is essential to establish baselines for future work that seek to better understand the impacts of human activities on marine ecosystems.</span></span></span></p>
Fig. 3 in Some New Records Of Marine Gastropod From The Iraqi Coast
Fig. 3. Distribution of marine gastropods in the Arabian Gulf.
Fig. 2 in Some New Records Of Marine Gastropod From The Iraqi Coast
Fig. 2. Percentage of species gastropods represented by their families from the Iraqi coast.
Fig 6A in Diversity and distribution of scleractinian corals from Mandapam group of Islands in Gulf of Mannar marine national park, South East coast of India
Fig 6A: D Acropora sp. E - G Montipora sp. H - Tubastreae coccinea
Fig. 4. Transversotrema licinum MANTER, 1970 from Diplodus noct. Ventral view. Scale 1.00 in Digenetic Trematodes From Marine Fishes Off The Coast Of Kuwait, Arabian Gulf: Fellodistomidae And Some Smaller Families, New Host And Geographic Records
Fig. 4. Transversotrema licinum MANTER, 1970 from Diplodus noct. Ventral view. Scale 1.00 mm
Fig. 5. Treptodemus latus MANTER, 1961 from Hemiramphus marginatus. Ventral view. Scale 1.00 in Digenetic Trematodes From Marine Fishes Off The Coast Of Kuwait, Arabian Gulf: Fellodistomidae And Some Smaller Families, New Host And Geographic Records
Fig. 5. Treptodemus latus MANTER, 1961 from Hemiramphus marginatus. Ventral view. Scale 1.00 mm
Figure 1 in New records of Monogenoidea (Platyhelminthes) from three marine fish species from the coast of Angra dos Reis, Rio de Janeiro, Brazil
Figure 1. Map of the area of new geographical records.
Figure 5 in Marine molluscs of the Turkish coasts: an updated checklist
Figure 5. The alien species according to the classes distributed along the Turkish coasts.
Figure 8 in Marine molluscs of the Turkish coasts: an updated checklist
Figure 8. Map showing the distribution of cephalopod species along the coasts of Turkey.
Figure 7 in Marine molluscs of the Turkish coasts: an updated checklist
Figure 7. Map showing the distribution of mollusc species along the coasts of Turkey.
Figure 20 in Free-living marine nematodes in Andhra Pradesh Coast, India
Figure 20 Paracanthonchus heterodontus.
Figure 19 in Free-living marine nematodes in Andhra Pradesh Coast, India
Figure 19. Epsilonema pustulatum.
Figure 18 in Free-living marine nematodes in Andhra Pradesh Coast, India
Figure 18. Spirinia laevis (Anterior).
Figure 1 in Free-living marine nematodes in Andhra Pradesh Coast, India
Figure 1. Map showing sampling stations across the Andhra coastal waters.
Figure 1 in Distribution and diversity of intertidal marine faunal species along with Maharashtra and Goa coast, India
Figure 1. Map showing sampling locations along the Maharashtra and Goa.
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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.