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918 results for “oceanic islands”
Frugivory and seed predation of fishtail palm (Caryota mitis Lour.) on the remote oceanic island of Narcondam, India
<p>Oceanic islands, due to their evolutionary history and isolation, play a dual role of having high endemicity and being vulnerable to extinctions, with most known extinctions occurring on islands. Plant–animal interactions are particularly important on islands, as island systems generally have low redundancy and are more vulnerable to disruption either via extinction or by invasive species. Here, we examined the fruit removal and seed predation of a keystone palm, <em>Caryota mitis</em>, on Narcondam, a remote oceanic island. The island endemic Narcondam Hornbill (<em>Rhyticeros narcondami</em>) was the sole seed disperser of the palm (90 hours; <em>N</em> = 15 trees), with mean (± SE) visitation rate being 0.23 (± 0.06) individuals per hour and fruit removal rates of 3.5 (± 1.5; range: 0–16) fruits per visit, indicating a lack of redundancy in seed dispersal of the palm on this island. Whereas the invasive rodent, <em>Rattus</em> cf. <em>tiomanicus</em>, was the sole predator of palm seeds (<em>N</em> = 15 individual fruiting palms, 416 trap nights). Overall, 17.1% of the seeds placed (<em>N</em> = 375 seeds) were removed. Seeds placed under and away from the canopy, and at different densities (2 plots with 10 seeds each; 1 plot with 5 seeds, respectively), showed similar removal rates. This indicates density-independent seed predation and the lack of safe regeneration sites for <em>Caryota mitis</em>, with potential deleterious effects on subsequent stages of the 'seed dispersal cycle'. Here, from a data-deficient site, we provide baseline information on the plant–frugivore interaction of a keystone palm and the potential impacts of an invasive rodent.</p>
Figure 1 in Sphaeromopsis jayaraji sp. nov. (Crustacea: Isopoda), a new species of intertidal Sphaeromatidae from the Andaman Islands, northern Indian Ocean
Figure 1. Map showing the study area.
Fig. 6 in Typification and nomenclature of the western Indian Ocean islands ferns and lycophytes described in Linnaeus filius's Supplementum plantarum
Fig. 6. – Lectotype of Adiantum furcatum L. f. in LINN-HS). [© Linnean Society of London]
Fig. 4 in Typification and nomenclature of the western Indian Ocean islands ferns and lycophytes described in Linnaeus filius's Supplementum plantarum
Fig. 4. – Lectotype of Acrostichum punctatum L. f. in LINN-HS. [© Linnean Society of London]
Southern Ocean kelp particle trajectories from Kerguelen, Macquarie Island and South Georgia
<p>Trajectory files from particle tracking simulations to model kelp drift pathways from three sub-Antarctic islands. More than 3.8 million virtual particles were released from a 2° latitude by 4° longitude box surrounding each of three sub-Antarctic source locations: Kerguelen Island, Macquarie Island and South Georgia. Particles were released daily throughout 2013 to sample seasonality and storm variability. Virtual particles were advected offline for three years from the time of release using the Connectivity Modelling System (Paris et al. 2013, <a href="https://github.com/beatrixparis/connectivity-modeling-system">https://github.com/beatrixparis/connectivity-modeling-system</a>). Particles were advected with the sum of daily snapshots of two-dimensional surface velocity data from an eddying ocean model (HYCOM; Bleck 2002) and wave-driven Stokes drift velocities from WAVEWATCH III (Rascle and Ardhuin 2013) over the period 2013-2016, as described in further detail in Fraser et al. 2018.</p> <p>Netcdf files contain particle trajectory latitude and longitude, and release date. Output has a temporal frequency of 1 day. Each release site has multiple zip files (e.g. Kerguelen_1.zip) which each contain multiple trajectory files. Each trajectory file contains a subset of the full ~ 4 million particles released at the site.</p> <p> </p> <p>Citation of associated paper: Fraser, C. I, Dutoit, L., Morrison, A. K., Miguel Pardo, L., Smith, S., Pearman, W., Parvizi, E., Waters, J., Macaya Horta, E. (2022). Southern Hemisphere coastal ecosystems are biologically connected by frequent, long-distance rafting events, submitted to <em>Current Biology</em>.</p> <p> </p> <p>References:</p> <p>Bleck, R. (2002). An oceanic general circulation model framed in hybrid isopycnic-Cartesian coordinates. <em>Ocean Modelling,</em> <strong>4</strong>, 55-88.</p> <p>Fraser, C. I. , A. K. Morrison, A. McC Hogg, E. C. Macaya, E. van Sebille, P. G. Ryan, A. Padovan, C. Jack, N. Valdivia, J. M. Waters (2018), Antarctica’s ecological isolation will be broken by storm-driven dispersal and warming, <em>Nat. Clim. Change</em>, <strong>8</strong>, 704-708.</p> <p>Paris, C. B., Helgers, J., van Sebille, E., & Srinivasan, A. (2013). Connectivity Modeling System: A probabilistic modeling tool for the multi-scale tracking of biotic and abiotic variability in the ocean. <em>Environmental Modelling and Software</em>, <strong>42</strong>, 47-54.</p> <p>Rascle, N., and Ardhuin, F. (2013). A global wave parameter database for geophysical applications. Part 2: Model validation with improved source term parameterization. <em>Ocean Modelling,</em> <strong>70</strong>, 174-188.</p>
Zircon dates long-lived plume dynamics in oceanic islands
<p><strong>Here we present a new data set from ten islands of the hot-spot related Galapagos Archipelago. That includes zircon U-Pb geochronology and δ18O - εHf(t) isotope geochemistry and whole rock geochemistry. The methodology includes different analytical technics like SHRIMP II, LA-MC-ICPMS, ICP, and XRD.</strong></p> <p><strong>This repository contains the following files:</strong></p> <p><strong>Table S1. </strong>LA-MC-ICPMS Lu-Hf isotope data of Galápagos zircons measured at Hong Kong University.</p> <p><strong>Table S2. </strong>LA-MC-ICPMS Lu-Hf isotope data of Galápagos zircons measured at Frankfurt University.</p> <p><strong>Table S3.</strong> Major and trace element concentrations for Galápagos samples.</p> <p><strong>Table S4. </strong>Oxygen isotope ratios for Galápagos zircons.</p> <p><strong>Table S5. </strong>Thermo-mechanical properties of the rock phase.</p> <p><strong>Table S6.</strong> List of the numerical experiments.</p> <p><strong>Table S7:</strong> List of the experiments used to calibrate the permeable boundary condition.</p> <p><strong>Table S8.</strong> (A) Hf Isotope Ratios in Galapagos Lavas (After (Blichert-Toft & White, 2001). (B) Oxygen isotopic ratios of plagioclase separates from Galapagos lavas and xenoliths (Geist et al., 1998). (C) Oxygen isotope compositions of olivine grains from subaerial lavas (Peterson et al., 2019). (D) Hf Isotope Compositions (±2s) of Submarine Ridges in the Panama Basin and of CLIP (Caribbean Large Igneous Province) rocks (Geldmacher et al., 2003).</p> <p>Movie S1</p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
EST-SSR genotyping data from: Ecotype variation in the endemic tree Callicarpa subpubescens on small oceanic islands: Genetic, phenotypic, and environmental insights
<p><em>Callicarpa subpubescens</em>, endemic to the Ogasawara Islands, is suggested to have multiple ecotypes in the Hahajima Islands, specifically in the central part of the Ogasawara Islands. In this study, associations between genetic groups and spatial distribution, habitat, leaf morphology, size structure, and flowering time of each genetic group were investigated on Hahajima and the satellite Imoutojima Islands. Genetic groups were identified using EST-SSR markers, revealing four ecotypes named based on morphological features: Dwarf (D), Glabrescent (G), Tall (T), and Middle (M), with M being a result of the hybridization of G and T. Ecotype D, adapted to dry environments, is characterized by small tree size, dense thick leaves with abundant hairs, and is distributed in dry scrub. Ecotype G, adapted to understory of mesic forests, lacks leaf hairs. Ecotype T, adapted to the canopy of mesic forests, has hairy leaves and is tall in tree height. Ecotype M, adapted to the canopy of mesic scrub or edges of mesic forests, has hairy leaves but with a shorter tree height than ecotype T. Flowering peaks differed among all ecotype pairs except G and M, but the flowering times more or less overlapped among all ecotypes, suggesting that pre-mating isolation among ecotypes is not perfect. Post-mating isolation is considered absent, as there were no differences in the results, germination, and survival rates of one-year seedlings among inter- and intra-ecotype crossings. The existence of such ecotypes provides valuable insights into the ongoing speciation processes adapting to the oceanic island environments.</p>
Fig. 2 in Taxonomic description of the male Tortanus (Atortus) murrayi Scott A., 1909 (Copepoda, Calanoida, Tortanidae) from the Great Nicobar Island, Indian Ocean
Fig. 2 — Tortanus (Atortus) murrayi Scott A., 1909, male dorsal view
Fig. 1 in Taxonomic description of the male Tortanus (Atortus) murrayi Scott A., 1909 (Copepoda, Calanoida, Tortanidae) from the Great Nicobar Island, Indian Ocean
Fig. 1 — Map showing sampling location at Great Nicobar Island, Andaman & Nicobar archipelago
Raw multibeam bathymetry data collected around Southern Thule, part of the South Sandwich Island chain in the Southern Ocean on board the R/V Akademik Tryoshnikov during the austral summer of 2016/2017 as part of the Antarctic Circumnavigation Expedition (ACE).
<p><strong>Dataset abstract</strong></p> <p>An ELAC Nautik 3020 multibeam echo sounder with a 20 kHz transducer mounted on the hull of the R/V Akademik Tryoshnikov, was used to collect multibeam bathymetry data during the Antarctic Circumnavigation Expedition (ACE). This particular dataset was collected around Southern Thule, part of the South Sandwich Island chain in the Southern Ocean in the austral summer of 2016/2017.</p> <p>Bathymetry data were used live during the cruise to look for suitable locations where benthic trawling and remotely-operated vehicle deployments could take place, rather than to undertake specific bathymetric surveys.</p> <p>This raw dataset is provided without calibration information for the surface sound velocity or instrumentation itself and should be used with due caution.</p> <p><strong>Dataset contents</strong></p> <ul> <li>lineYYYYDDmonHHMMSS.xse, data file, proprietary format</li> <li>lineYYYYDDmonHHMMSS.ssv, data file, ASCII</li> <li>location.hydrostar, ancillary file, ASCII</li> <li>data_file_header.txt, metadata, text</li> <li>README.txt, metadata, text</li> </ul> <p><strong>Dataset license</strong></p> <p>This raw multibeam bathymetry dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/</p>
Figure 2 in Are mangroves important for reef fish on Mayotte Island (Indian Ocean)?
Figure 2. – Relative abundance of adults and juveniles of fishes in different mangrove habitats.
Figure 1 in Marine benthic diatoms in the coral reefs of Reunion and Rodrigues Islands, West Indian Ocean
Figure 1. Map showing location of Reunion and Rodrigues Islands, Indian Ocean and sampling sites.
Figure 1 in The family Bramidae (Perciformes) from the Canary Islands (Northeastern Atlantic Ocean), with three new records
Figure 1. - The Canary Islands. Collection locations (l).
FIG. 32 in The fern genera Dryopteris and Nothoperanema (Dryopteridaceae) in Madagascar and neighbouring Indian Ocean islands, including Saint Paul
FIG. 32. — Distribution of Nothoperanema squamiseta (Tagawa) Ching in Madagascar and la Réunion.
FIG. 29 in The fern genera Dryopteris and Nothoperanema (Dryopteridaceae) in Madagascar and neighbouring Indian Ocean islands, including Saint Paul
FIG. 29. — Distribution of Dryopteris wardii (Baker) Kuntze in the Seychelles islands group.
FIG. 24 in The fern genera Dryopteris and Nothoperanema (Dryopteridaceae) in Madagascar and neighbouring Indian Ocean islands, including Saint Paul
FIG. 24. — Distribution of Dryopteris subcrenulata (Baker) C.Chr. in Madagascar.
FIG. 21 in The fern genera Dryopteris and Nothoperanema (Dryopteridaceae) in Madagascar and neighbouring Indian Ocean islands, including Saint Paul
FIG. 21. — Distribution of Dryopteris pentheri (Krasser) C.Chr. in Madagascar and la Réunion.
FIG. 19 in The fern genera Dryopteris and Nothoperanema (Dryopteridaceae) in Madagascar and neighbouring Indian Ocean islands, including Saint Paul
FIG. 19. — Specimen of Dryopteris pentheri (Krasser) C.Chr., Croat 29928 (MO3295935).
FIG. 27 in The fern genera Dryopteris and Nothoperanema (Dryopteridaceae) in Madagascar and neighbouring Indian Ocean islands, including Saint Paul
FIG. 27. — Distribution of Dryopteris kilemensis (Kuhn) Kuntze in Madagascar.
FIG. 30 in The fern genera Dryopteris and Nothoperanema (Dryopteridaceae) in Madagascar and neighbouring Indian Ocean islands, including Saint Paul
FIG. 30. — Specimen of Nothoperanema squamiseta (Tagawa) Ching, Roux 3251 (NBG0221782-0).
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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.