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918 results for “oceanic islands”
FIG. 3 in Molecular characterization and morpho-taxonomy of Gambierdiscus caribaeus Vandersea, Litaker, M.A.Faust, Kibler, W.C.Holland & P.A.Tester (Dinophyceae) from Mauritius Island, South-West Indian Ocean
FIG. 3. — Scanning electron micrographs of Gambierdiscus caribaeus Vandersea, Litaker, M.A.Faust, Kibler, W.C.Holland & P.A.Tester (ISOG4): A, elliptical Po plate with pores and a large fishhook-shaped opening; B, inside top view of broken cell showing the elliptical Po plate with pores and a large fishhook shaped open- ing; C, ventral view showing the gradually ascend and then sharp descend of the right part of the cingulum near the sulcus; D, thecal pores on the smooth cell surface. Scale bars: A, B, 1 µm; C, D, 10 µm.
Supplementary material 1 from: Cáceres-Polgrossi L, Di Rico M, Parra D, Seebens H, Galvin SD, Boehmer HJ (2023) The relationship between naturalized alien and native plant species: insights from oceanic islands of the south-east Pacific over the last 200 years. NeoBiota 86: 21-43. https://doi.org/10.3897/neobiota.86.102661
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Figure 1 in Two new species of Eurydice Leach, 1815 (Crustacea: Isopoda: Cirolanidae) from the Andaman Islands, northern Indian Ocean
Figure 1. Map showing the study area.
Fig. 4 in Authenticating wild Piper species (peppers) originating from islands in the Indian Ocean on the basis of morphological, genetic and chemical characteristics
Fig. 4. Content (g/100 g DM) in piperine and essential oil of the three wild peppers studied.
Fig. 2 in Authenticating wild Piper species (peppers) originating from islands in the Indian Ocean on the basis of morphological, genetic and chemical characteristics
Fig. 2. Fruiting twigs, leaves and berries of the three wild peppers studied.
Fig. 1 in Authenticating wild Piper species (peppers) originating from islands in the Indian Ocean on the basis of morphological, genetic and chemical characteristics
Fig. 1. Projection of pepper individuals on the first two dimensions of the FAMD.
Figure 3 in Growth of the oblique-banded grouper (Epinephelus radiatus) on the coasts of Reunion Island (SW Indian Ocean)
Figure 3. - Growth curves of different species of the genus Epinephalus in the southern hemisphere (1: Condini et al., 2014; 2: Costa et al., 2011; 3: Nichols and DeMartini, 2008; 4: Fry et al., 2006; 5: Pothin et al., 2004; 6: Langi, 1988).
Figure 1 in Growth of the oblique-banded grouper (Epinephelus radiatus) on the coasts of Reunion Island (SW Indian Ocean)
Figure 1. - Otolith transverse section of Epinephelus radiatus (TL = 31.4 cm; 3 years old) using transmitted light. Growth increments were identified by black crosses.
Climate drives community-wide divergence within species over a limited spatial scale: evidence from an oceanic island
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Data from: Approximate Bayesian computation reveals the crucial role of oceanic islands for the assembly of continental biodiversity
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Data from: A new framework for investigating biotic homogenization and exploring future trajectories: oceanic island plant and bird assemblages as a case study
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Data from: Gentle Africanized bees on an oceanic island
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Microsatellite data from: Multiple colonizations and genetic differentiation from the mainland populations in insular populations of the perennial herb Solidago virgaurea complex (Asteraceae) on recently formed nearshore oceanic islands
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Data from: Do endemic mushrooms on oceanic islands and archipelagos support the theory of island biogeography?
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Phylogeography of Meimuna cicadas on continental and oceanic islands of Japan in the north-western Pacific region
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Exploration of marine lichenized fungi as bioindicators of coastal ocean pollution in the Boston Harbor Islands National Recreation Area
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GOES-16 cloud-motion wind and ASCAT ocean surface wind data for the article "Evolution of an atmospheric Kármán vortex street from high-resolution satellite winds: Guadalupe Island case study"
<p>This repository contains GOES-16 cloud-motion winds and ASCAT ocean surface winds derived for and analysed in the article "Evolution of an atmospheric Kármán vortex street from high-resolution satellite winds: Guadalupe Island case study".</p> <p> </p> <p><strong>GOES-16 Local Cloud-Motion Vectors</strong></p> <p>Data in two ASCII text files: <em>raw5x5g16b2_2018d129_1437z_2232z_north.txt</em> and <em>raw5x5g16b2_2018d129_1437z_2232z_south.txt</em>, with the former containing data for the upper half and the latter for the lower half of the study domain between ~26<sup>o</sup>N and ~29.5<sup>o</sup>N. Both files include 96 records, each record corresponding to a specific 5-minute time interval between 14:37 UTC and 22:32 UTC on 9 May 2018—9 May is day of year 129. The start and end times are given at the beginning of each record in YYYYDDDHHMM format, where Y is year, D is day of year, H is hour, and M is minute. For example, the first record contains data between 14:37 UTC and 14:42 UTC, as indicated by the start and end times of 20181291437 and 20181291442. Then follows the four column headers LAT LON SPD DIR, corresponding to latitude (degree), longitude (degree), wind speed (m/s), and wind direction (meteorological convention, degree north), respectively—note that no cloud-top height/pressure value was calculated for the wind vectors. Each subsequent line is a single GOES-16 local cloud-motion vector, derived from 5x5-pixel band 2 (0.64 micron visible red band) image templates, which represent an area of ~2.5x2.5 km<sup>2</sup> at the subsatellite point.</p> <p> </p> <p><strong>MODIS–GOES-16 3D Cloud-Motion Vectors</strong></p> <p>Data in two netCDF files: <em>MOD.A2018129.1810-75_ABI_CONUS_band_02_goes16.nc</em> and <em>MYD.A2018129.2120-75_ABI_CONUS_band_02_goes16.nc</em>, which correspond to the MODIS Terra and MODIS Aqua overpasses, respectively. These joint MODIS–GOES-16 wind retrievals were derived using ~8x8 km<sup>2</sup> red band image templates sampled every 2 km. The data files are self-explanatory, but the variables "lat", "lon", "V_3D", and "H_3D" provide the latitude (degree), longitude (degree), the [east-west, north-south] wind components (m/s), and the geometric stereo height (m) for each wind retrieval.</p> <p> </p> <p><strong>ASCAT Ocean Surface Wind Vectors</strong></p> <p>Data in two netCDF files: <em>ascat_20180509_030000_metopa_59945_srv_o_063_ovw_new.nc</em> and <em>ascat_20180509_040000_metopb_29259_srv_o_063_ovw_new.nc</em>, which correspond to the MetOp-A and MetOp-B overpasses, respectively. These ASCAT ocean surface retrievals are stress-equivalent winds at 10 m height, given on a 6.25-km grid. The data files are self-explanatory, but the variables "lat", "lon", "wind_speed", and "wind_dir" provide the latitude (degree), longitude (degree), the wind speed (m/s), and the wind direction (oceanographic convention, degree north) for each wind retrieval. <em>Note that wind direction follows the oceanographic convention and refers to the direction towards which the wind blows (equivalent to meteorological wind direction minus 180<sup>o</sup>)!</em></p>
Towards a decade of solar irradiation data (La Réunion Island, SW Indian Ocean)
<p>Years of solar irradiation data together with meteorological data acquisition localized in the French region of La Réunion Island (South West Indian Ocean).</p>
Data from: Biogeography of Leptospira in wild animal communities inhabiting the insular ecosystem of the western Indian Ocean islands and neighboring Africa
Understanding the processes driving parasite assemblages is particularly important in the context of zoonotic infectious diseases. Leptospirosis is a widespread zoonotic bacterial infection caused by pathogenic species of the genus Leptospira. Despite a wide range of animal hosts, information is still lacking on the factors shaping Leptospira diversity in wild animal communities, especially in regions, such as tropical insular ecosystems, with high host species richness and complex biogeographical patterns. Using a large dataset (34 mammal species) and a multilocus approach at a regional scale, we analyzed the role of both host species diversity and geography in Leptospira genetic diversity in terrestrial small mammals (rodents, tenrecs and shrews) and bats from 10 different islands/countries in the western Indian Ocean (WIO) and neighboring Africa. At least four Leptospira spp. (L. interrogans, L. borgpetersenii, L. kirschneri and L. mayottensis) and several yet-unidentified genetic clades contributed to a remarkable regional Leptospira diversity, which was generally related to the local occurrence of the host species rather than the geography. In addition, the genetic structure patterns varied between Leptospira spp., suggesting different evolutionary histories in the region, which might reflect both in situ diversification of native mammals (for L. borgpetersenii) and the more recent introduction of non-native host species (for L. interrogans). Our data also suggested that host shifts occurred between bats and rodents, but further investigations are needed to determine how host ecology may influence these events.
Hyperdominance and habitat composition drive reef fish foraging on Atlantic oceanic islands
<p>Spatial and temporal patterns of benthic community structure play a crucial role in shaping reef habitats and have a direct impact on fish foraging dynamics, alongside density-dependence effects on the whole community. In isolated oceanic islands, the relatively low fish species richness often leads to the hyperdominance of a few species and a general reduced trophic redundancy. However, the influence of benthic habitat features and hyperdominant species on foraging selection in oceanic islands has been largely overlooked. This study aimed to investigate, using Remote Underwater Videos (RUVs), whether reef fishes consistently forage on specific habitats across five different oceanic islands in the Atlantic Ocean, especially focusing on the importance of the role of hyperdominant species. We analysed 295 RUVs, within 2m2 areas (3-15 m deep), totalling 49 hours of video. Photoquadrats were utilised to gauge benthic group coverage in the same habitats. Our results revealed five prevalent habitats and six fish trophic groups interacting with reef benthos. The intensity of feeding pressure varied across islands, depending on the diversity of habitats. Herbivores and omnivores exhibited the highest feeding pressure, with omnivores foraging on crustose coralline algae and macroalgae habitats, while herbivores primarily fed on habitats dominated by the epilithic algal matrix. Hyperdominant species forage in multiple habitats, indicating a comparatively high degree of dietary plasticity. Our findings also demonstrated that fish feeding pressure is influenced by both habitat features and fish biomass. Therefore, our study can provide valuable insights for prioritising the management of key species in isolated oceanic reefs.</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.