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30 results for “Marine current”
Modeled temperature and Marine heatwaves intensity in the coastal Northern Humboldt Current System
<p>This dataset includes the tridimensional modeled temperature and associated research data that support the results of the article "<strong><em>Comprehensive characterization of Marine Heatwaves in a coastal Northern Humboldt Current System regional model over recent decades</em></strong>".</p> <p>Specifically, it consists of three files (NetCDF format):<br> i) Northern_MHWs.nc, this file contains the daily modeled temperature (from 2000 to 2019) within the northern domain of analysis (3-8°S) within the 250 km nearshore band for each vertical layer ranging from 0 to 250m depth. In addition, daily snapshots of MHW intensity are also included by depth.<br> ii) Central_MHWs.mat, similar to the previous file, but for the central domain of analysis, from 8 to 13°S.<br> iii) Southern_MHWs.mat, similar to the previous file, but for the southern domain of analysis, from 13 to 18°S.</p>
Hourly LC impacts - Marine Eutrophication - current mix and future scenarios, average demand
<p>Dataset on LCA results of electricity generation and supply in Italy for 2018, 2019 and 2020 (current mix) and two future scenarios (2030) - Marine Eutrophication, average demand perspective.</p> <p>Modelling materials and methods are described in the paper "Life-cycle assessment of current and future electricity supply in Italy: addressing average and marginal hourly demand".</p>
RFR-CCS: A monthly surface pCO2 product for the California Current Large Marine Ecosystem
<p><strong>Description</strong></p> <p>RFR-CCS is a monthly data product of surface pCO2 for the California Current Large Marine Ecosystem. It was built using pCO2 observations from the Surface Ocean CO2 Atlas, fit against a variety of driver variables (sources of which are listed below) using a Random Forest Regression, and provided on a 0.25 degree resolution grid from January 1998 to December 2020.</p> <p><strong>Citation</strong></p> <p>If using this product, please also cite the original manuscript:</p> <p>Sharp, J.D., Fassbender, A.J., Carter, B.C., Lavin, P.D., and Sutton, A.J. <a href="https://doi.org/10.5194/essd-14-2081-2022">A monthly surface pCO2 product for the California Current Large Marine Ecosystem</a>. Earth System Science Data, 14, 2081–2108, 2022. doi: 10.5194/essd-14-2081-2022.</p> <p><strong>Driver Variables (<a href="https://figshare.com/articles/dataset/RFR-CCS/15152013/2">figshare</a>)</strong></p> <p>1. Sea Surface Temperature: <a href="https://psl.noaa.gov/data/gridded/data.noaa.oisst.v2.highres.html">OISSTv2</a></p> <p>2. Sea Surface Salinity: <a href="https://www.ecco-group.org/products.htm">ECCO2</a></p> <p>3. Chlorophyll-a: <a href="http://sites.science.oregonstate.edu/ocean.productivity/1080.by.2160.monthly.inputData.php">Oregon State (via NASA)</a></p> <p>4. Wind Speed: <a href="https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5">ERA5</a></p> <p>5. Atmospheric pCO2: <a href="https://gml.noaa.gov/ccgg/mbl/">NOAA MBL</a></p> <p>6. Mixed Layer Depth: <a href="https://www.hycom.org/hycom/">HYCOM</a></p> <p>7. Distance from Shore: Calculated from latitude and longitude (<a href="https://www.chadagreene.com/CDT/CDT_Contents.html">dist2coast, Climate Data Toolbox</a>)</p> <p>8. Year</p> <p>9. Month of Year</p>
Figure 1 in Biodiversity of epiphytic marine macroalgae in Mexico: composition and current status
Figure 1: Numbers of algal species in each of the families that are best represented in each biogeographical ecoregion around Mexico, as defined by Spalding et al. (2007).
Figure 1 in Current knowledge of New Caledonian marine and freshwater ichthyofauna, SW Pacific Ocean: diversity, exploitation, threats and management actions
Figure 1. – Location of New Caledonia in the southwest Pacific. Dotted lines: limits of the New Caledonian EEZ, triangles: main seamounts, blue zones: UNESCO world heritage areas, and red hatched zones: fully protected marine areas. Modified from New Caledonian Government, Global seamounts database, The Pew charitable trust.
Spread of the non-native anemone Anemonia alicemartinae Häussermann & Försterra, 2001 along the Humboldt-current large marine ecosystem: an ecological niche model approach
<p>Environmental variables and script</p>
Data from: Evaluation of a single nucleotide polymorphism baseline for genetic stock identification of Chinook Salmon (Oncorhynchus tshawytscha) in the California Current Large Marine Ecosystem
Chinook Salmon is an economically and ecologically important species, and populations from the west coast of North America are a major component of fisheries in the North Pacific Ocean. The anadromous life history strategy of this species generates populations (or stocks) that typically are differentiated from neighboring populations. In many cases, it is desirable to discern the stock of origin of an individual fish or the stock composition of a mixed sample to monitor the stock-specific effects of anthropogenic impacts and alter management strategies accordingly. Genetic stock identification (GSI) provides such discrimination, and we describe here a novel GSI baseline composed of genotypes from more than 8000 individual fish from 69 distinct populations at 96 single nucleotide polymorphism (SNP) loci. The populations included in this baseline represent the likely sources for more than 99% of the salmon encountered in ocean fisheries of California and Oregon. This new genetic baseline permits GSI with the use of rapid and cost-effective SNP genotyping, and power analyses indicate that it provides very accurate identification of important stocks of Chinook Salmon. In an ocean fishery sample, GSI assignments of more than 1000 fish, with our baseline, were highly concordant (98.95%) at the reporting unit level with information from the physical tags recovered from the same fish. This SNP baseline represents an important advance in the technologies available to managers and researchers of this species.
Larval and adult traits coevolve in response to asymmetric coastal currents to shape marine dispersal kernels
<p>Dispersal emerges as an outcome of organismal traits and external forcings. However, it remains unclear how the emergent dispersal kernel evolves as a by-product of selection on the underlying traits. This question is particularly compelling in coastal marine systems where dispersal is tied to development and reproduction, and where directional currents bias larval dispersal downstream causing selection for retention. We modelled the dynamics of a metapopulation along a finite coastline using an integral projection model and adaptive dynamics to understand how asymmetric coastal currents influence the evolution of larval (pelagic larval duration) and adult (spawning frequency) life history traits, which indirectly shape the evolution of marine dispersal kernels. Selection induced by alongshore currents favors the release of larvae over multiple time periods, allowing long pelagic larval durations and long-distance dispersal to be maintained in marine life cycles in situations where they were previously predicted to be selected against. Two evolutionary stable strategies emerged: one with a long pelagic larval duration and many spawning events resulting in a dispersal kernel with a larger mean and variance, and another with a short pelagic larval duration and few spawning events resulting in a dispersal kernel with a smaller mean and variance. Our theory shows how coastal ocean flows are important agents of selection that can generate multiple, often co-occurring, evolutionary outcomes for marine life history traits that affect dispersal.</p>
Larval and adult traits coevolve in response to asymmetric coastal currents to shape marine dispersal kernels
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Data from: Evaluation of a single nucleotide polymorphism baseline for genetic stock identification of Chinook Salmon (Oncorhynchus tshawytscha) in the California Current Large Marine Ecosystem
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Simulated genotype data from: Effective population size estimation in large marine populations: Considering current challenges and opportunities when simulating large datasets with high-density genomic information
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Data from: Seabird diversity hotspot linked to ocean productivity in the Canary Current Large Marine Ecosystem
Upwelling regions are highly productive habitats targeted by wide-ranging marine predators and industrial fisheries. In this study, we track the migratory movements of eight seabird species from across the Atlantic; quantify overlap with the Canary Current Large Marine Ecosystem (CCLME) and determine the habitat characteristics that drive this association. Our results indicate the CCLME is a biodiversity hotspot for migratory seabirds; all tracked species and more than 70% of individuals used this upwelling region. Relative species richness peaked in areas where sea surface temperature averaged between 15 and 20°C, and correlated positively with chlorophyll a, revealing the optimum conditions driving bottom-up trophic effects for seabirds. Marine vertebrates are not confined by international boundaries, making conservation challenging. However, by linking diversity to ocean productivity, our research reveals the significance of the CCLME for seabird populations from across the Atlantic, making it a priority for conservation action.
Data from: A synthesis of diets and trophic overlap of marine species in the California current
A key step toward ecosystem-based management is to better understand how interactions within food webs affect species of commercial and conservation importance. Here we provide comprehensive diet information and food web analysis for major taxa within the California Current ecosystem, including fish, marine mammals, birds, and invertebrates. We synthesized 75 published diet studies from this ecosystem and calculated representative diets for each species or aggregated functional group. We assessed diet relatedness using hierarchical cluster analysis and calculated diet overlaps based on percent similarity index (PSI). Both analyses were performed on functional group data and also separately for each vertebrate species. Cluster analysis identified distinct feeding guilds and revealed both intuitive and novel diet similarities between several species and functional groups. One intuitive example is that functional groups preying on euphausiids, a key forage species in the California Current, show a high amount of overlap. A novel example is the significant diet overlap of shallow small rockfish and baleen whales (e.g., grey whales [Eschrichtius robustus]), both of which consume large amounts of benthic invertebrates. Functional groups were highly significant in explaining the PSI differences between species, which suggests that key ecological interactions will be preserved in ecosystem models that use these functional groups. A visual representation of the complete food web and calculation of food web statistics suggest that there are strong similarities between the food webs of the California Current and the Benguela Current, a similar upwelling-driven eastern boundary current off the southwest coast of Africa.
Figure 3 in Assessing the impacts of nonindigenous marine macroalgae: an update of current knowledge
Figure 3: Ecological case studies by bioregion (bioregion classification based on Kelleher et al. 1995) and algal type. Macroalgal groups: brown algae (Phaeophyceae), red algae (Rhodophyta), and green algae (Chlorophyta).
Figure 1 in Assessing the impacts of nonindigenous marine macroalgae: an update of current knowledge
Figure 1: Ecological case studies by experiment type. Each study type divided by macroalgal group: brown algae (Phaeophyceae), red algae (Rhodophyta), green algae (Chlorophyta). Sur, field survey; Sur (comp), field survey comparing invaded and noninvaded sites; Sur (BACI), field survey with temporal comparisons before/after invasion; E, field experiment; Lab, laboratory experiment or assay; O, observational study.
Figure 2 in Assessing the impacts of nonindigenous marine macroalgae: an update of current knowledge
Figure 2: Ecological case studies by impact type. Each impact type divided by macroalgal group: brown algae (Phaeophyceae), red algae (Rhodophyta), green algae (Chlorophyta). SM, space monopolization; CC, change in community composition; G, genetic effects; HT, effects on higher trophic levels; TO, toxicity; HC, habitat change; (–), no significant impact shown.
Figure 4 in Assessing the impacts of nonindigenous marine macroalgae: an update of current knowledge
Figure 4: Ecological case studies by bioregion and impact type. Impact types: SM, space monopolization; CC, change in community composition; G, genetic effects; HT, effects on higher trophic levels; TO, toxicity; HC, habitat change; (–), no significant impact shown.
Fig. 4 in The biogeography of non-marine molluscs in the Tuscan Archipelago reveals combined effects of current eco-geographical drivers and paleogeography
Fig. 4 Non-metric multidimensional scaling (NMDS) in RGB (red, green, and blue) color space for Sørensen (βsor) (a), Simpson (βsim) (b), and nestedness indices (βnest) (c) showing land snail presence/ absence in the Tuscan Archipelago using the database of all species except aliens. CAP, Capraia; ELB, Elba; GIA, Giannutri; GIG, Giglio; GOR, Gorgona; MCO, Montecristo; PIA, Pianosa; CER, Cerboli; PAL, Palmaiola; FDG, Formiche di Grosseto; ARG, Monte Argentario
Fig. 5 in The biogeography of non-marine molluscs in the Tuscan Archipelago reveals combined effects of current eco-geographical drivers and paleogeography
Fig. 5 Biogeographical categories of land snail species on islands of the Tuscan Archipelago: (a) including and (b) excluding widespread species
Fig. 1 in The biogeography of non-marine molluscs in the Tuscan Archipelago reveals combined effects of current eco-geographical drivers and paleogeography
Fig. 1 Location of the Tuscan Archipelago in the northern Tyrrhenian Sea, between the Tuscan coast and Corsica
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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.