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918 results for “oceanic islands”
Data from: Basin-scale biogeochemical and ecological impacts of islands in the tropical Pacific Ocean
<p><strong>Abstract</strong></p> <p>In the relatively unproductive waters of the tropical ocean, islands can enhance phytoplankton biomass and create hotspots of productivity and biodiversity that sustain upper trophic levels, including fish that are crucial to the survival of islands’ inhabit- ants. This phenomenon, termed the island mass effect 65 years ago, has been widely described. However, most studies focused on individual islands, and very few documented phytoplankton community composition. Consequently, basin-scale impacts on phytoplankton biomass, primary production and biodiversity remain largely unknown. Here we systematically identify enriched waters near islands from satellite chlorophyll concentrations (a proxy for phytoplankton biomass) to analyse the island mass effect for all tropical Pacific islands on a climatological basis. We find enrichments near 99% of islands, impacting 3% of the tropical Pacific Ocean. We quantify local and basin-scale increases in chlorophyll and primary production by contrasting island-enriched waters with nearby waters. We also reveal a significant impact on phytoplankton community structure and biodiversity that is identifiable in anomalies in the ocean colour signal. Our results suggest that, in addition to strong local bio- geochemical impacts, islands may have even stronger and farther-reaching ecological impacts.</p> <p> </p> <p><strong>Data set and method</strong></p> <p>For each island, an algorithm detected the Island Mass Effect (IME) from climatological satellite chlorophyll maps as a contour enclosing the island and surrounding high-chlorophyll waters, termed IME region. A reference (REF) region of the same size was detected alongside each IME region, enclosing nearby non-IME waters. The IME and REF regions were used to build the IME database described in Messié et al. (2022), that includes variables related to satellite chlorophyll, primary production, and PHYSAT phenoclass diversity metrics in IME and REF regions on a climatological basis.</p> <p>This data set includes 4 files:</p> <ul> <li>island_database.csv: information regarding the 664 islands and shallow reefs where the IME detection was applied</li> <li>IME_masks.nc: monthly climatological masks for the IME and REF regions for all islands,</li> <li>IME_database.nc: IME database as a function of island and climatological month (chlorophyll, primary production, and phenoclass-derived variables calculated within the IME and REF masks).</li> <li>PHYSAT_climatology.nc: climatological maps for each PHYSAT phenoclass, used to calculate phenoclass-derived variables in the IME database.</li> </ul> <p>See details regarding data sources and calculations in <a href="https://rdcu.be/cO4qr">Messié et al. (2022)</a>.</p>
SBC LTER: Ocean: Ocean hourly temperature at nearshore locations along the Northern Channel Islands in the Santa Barbara Channel, ongoing since 2000
Ocean in-situ temperature data were collected at nearshore sites along the Northern Channel Islands in the Santa Barbara Channel. The earliest temperature records started in April 2000. The temporal coverage varies at each site. At the start of the temperature data collection, the tidbit or hobo sensors were deployed on a mooring line at approximate 3 m, 9m, and 14 m nominal depths, and the sampling interval is 2 minutes. In 2013, the 3 m and 9 m temperature sensors were terminated and only 14 m sensors continued. In addition, the sampling interval changed to 15 minutes. This data package presents hourly average in-situ temperature data. The original raw data (2-min interval) between 2000-2010 were published on DataOne https://search.dataone.org/portals/PISCO. Data can be viewed and accessed by zooming in the Northern Channel Islands in the Santa Barbara Channel region and searching the keyword "physical oceanography moored temperature data". These datasets were funded and managed by The Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO). In 2013, the maintenance of the sensor deployment was transferred to NOAA National Marine Sanctuaries, and Santa Barbara Coastal LTER has been responsible for data download and processing.
Enrichment index related to seamounts and islands in the South West Indian Ocean from chlorophyll-a satellite remote sensing data
<p>This data set is the result of the calculation of an original “enrichment index” (EI) from chlorophyll-a (chl-a) remote sensing data (MODIS-Aqua sensor) and initially dedicated to highlight localized chl-a enrichments associated to isolated seamounts and islands in the South West Indian Ocean, in order to estimate their contribution in increasing the local primary productivity. Details and results are described in the DSR-II paper entitled “Satellite observations of phytoplankton enrichments around seamounts in the South West Indian Ocean with a special focus on the Walters Shoal” from Demarcq et al. 2020.<br> 1. Initial data used<br> We used daily L3 data chl-a and sea surface temperature (SST) collected by the MODIS (Moderate-resolution Imaging Spectroradiometer) sensor on board the Aqua platform (downloaded from https://oceancolor.gsfc.nasa.gov/) from January 2003 to December 2018. This has a spatial resolution of 1/24° (ca. 4.5–5 km). The data covers the region (45°S – 10°S / 25°W – 80°W).<br> 2. The calculation method<br> The calculations were done at the pixel level. The EI is the difference (expressed in %) between the value of each ‘candidate pixel’ and its medium range surrounding, defined as the average value of all chl-a values around the candidate pixel between a fix range of distance between 30 and 90 km, the R1 and R2 terms of the equation enclosed.<br> 3. Data sets<br> The data set contains two files:<br> - the monthly climatology (12 frames) of the EI from January to December (2003 to 2018 average), in an internally compressed netCDF-4 format (NC-compliant or almost)<br> - the yearly average of the EI (period 01/2003 - 12/2018)<br> <br> Two images are joined with this data set:<br> - a "technical view" of the yearly average of the index for the full region sub-region (45°S – 10°S / 25°W – 80°W)<br> (file: indsw4_modis_p100_4km_16y_20030101_20181231.R2018.0.enrichment-index.dist-30-90km.png).</p> <p> - a slightly improved view of the yearly average of the index for the sub-region (40°S – 10°S / 30°W – 70°W).<br> (file: Figure-enrichment-index.pdf)<br> <br> An improved version of this index will be available in a near future.</p>
Raw multibeam bathymetry data collected around the Candlemas Islands, part of the South Sandwich Islands 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 the Candlemas Islands, part of the South Sandwich Islands 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>
Raw multibeam bathymetry data collected around Scott Island 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 Scott Island 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>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> <p> </p>
Homisland-IO: a homogeneous land cover over the small islands of the southwest Indian Ocean
<p>This dataset is a landcover product, called Homisland-IO<strong>,</strong> based on the analysis of high spatial resolution images acquired by the SPOT 5 satellite between December 2012 and July 2014 and produced at the SEAS-OI Station. We used an object-based image analysis method to identify the 11 major classes of land cover / land use of these tropical islands. This methodology together with a good knowledge of the field has enabled us to achieve an overall accuracy of 86%, making it an operational product. Homisland-IO is<strong> </strong>freely accessible through a web portal and thus available for future uses.</p>
Brilliantia kiribatiensis, a new genus and species of Cladophorales (Chlorophyta) from the remote coral reefs of the Southern Line Islands, Pacific Ocean
<p>Data associated with the study "<em>Brilliantia kiribatiensis</em>, a new genus and species of Cladophorales (Chlorophyta) from the remote coral reefs of the Southern Line Islands, Pacific Ocean".</p> <p><strong>ITS.fasta, ITS_bmge.fasta, LSU.fasta, LSU_bmge.fasta, SSU.fasta, SSU_bmge.fasta: </strong>SSU rDNA, LSU rDNA and rDNA ITS sequences used in phylogenetic analyses. Sequences of Brilliantia kiribatiensis were added to updated phylogenetic datasets used previously (Leliaert et al. 2007a, Leliaert et al. 2009b), aligned in MAFFT v7.215 (Katoh and Standley 2013), and stripped of hypervariable sites in BMGE v1.1 (Criscuolo and Gribaldo 2010) by using the -h 0.4 -g 0.35 parameters. Alignments were visually checked and concatenated in Seaview v4.4.2.</p> <p><strong>concatenated_SSU_ITS_LSU.fasta</strong>: concatenated alignment with following partitions: SSU: 1-1797, ITS1+5.8S+ITS2: 1798-3335, LSU: 3336-3926.</p> <p><strong>Table_S1_sequence_sources.xls: </strong>GenBank accessions, sample isolate codes and sites of collection for sequences included in the concatenated phylogenetic data set.</p> <p><strong>Table S2. </strong>Percent cover of different algal groups in 1 m2 photoquadrats. Algal groups are identified to genus level for fleshy macroalgae or functional group for turf algae, branched red algae, crustose coralline algae, and cyanobacteria.</p> <p><strong>Table SX.</strong> Morphological measurements of <em>Brilliantia kiribatiensis</em>.</p>
Supporting Data -- Evaluating Mask R-CNN Models to Extract Terracing across Oceanic High Islands: an example from Sāmoa.
<p>This dataset provides supplemental information for the manuscript, "Diverse terracing practices revealed by automated lidar analysis across the Sāmoan islands", submitted to Archaeological Prospection. The dataset contains a trained Mask R-CNN deep learning model designed for detecting archaeological terracing features on the islands of American Samoa, associated training data, and the raw and cleaned output of detected terraces.</p>
DATASET From the Reef to the Ocean: Revealing the Acoustic Range of the Biophony of a Coral Reef (Moorea Island, French Polynesia)
<p>Dataset corresponding to the article "From the Reef to the Ocean: Revealing the Acoustic Range of the Biophony of a Coral Reef (Moorea Island, French Polynesia)". 90 sites were recorded from the reef crest to 10 km in the open ocean off Moorea Island (French Polynesia) in 2016. Recordings were realized with drifting antennas made of a floater and an autonomous recorder EA-SDA14 (RTSys®, Caudan, France) connected to a wideband low-noise hydrophone HTI-92 (High Tech Inc., Long Beach, MS, USA) with a sensitivity of −155 ± 3 dB re 1 V µPa−1 and a flat frequency response from 2 Hz to 50 kHz.</p>
A New Method for Accurate and Efficient Modeling of the Local Ocean Induction Effects. Application to Long-Period Responses from Island Geomagnetic Observatories
<p>Dataset presented in Figures 3-7, S1 and S3 in the recently submitted AGU paper "A New Method for Accurate and Efficient Modeling of the Local Ocean Induction Effects. Application to Long-Period Responses from Island Geomagnetic Observatories".</p>
Fig. 3 in Review of Campsicnemus species from the Atlantic Ocean Islands (Diptera: Dolichopodidae)
Fig. 3. Campsicnemus flavissimus sp. nov., ♂ holotype and ♀ paratype. A. ♀ head. B. ♂ wing. C. ♂ mid tibia and tarsus. D. ♂ mid tibia, basal part. E. ♂ mid femur.
Fig. 1 in Review of Campsicnemus species from the Atlantic Ocean Islands (Diptera: Dolichopodidae)
Fig. 1. Campsicnemus meridionalis sp. nov., ♂ holotype. A. habitus. B. head. C. wing. D. mid femur. E. mid tibia and tarsus. F. hind femora.
Fig. 2 in Review of Campsicnemus species from the Atlantic Ocean Islands (Diptera: Dolichopodidae)
Fig. 2. Campsicnemus sanctaehelenae sp. nov., ♂ holotype. A. antenna. B. wing. C. mid femur. D. hind femur and tibia. E. mid tibia and tarsus.
Figs 44–66 in Revision of the non-marine centric diatom flora (Bacillariophyta) of the sub-Antarctic Campbell Island (southern Pacific Ocean) with the descriptions of five new species
Figs 44–66. Ferocia houkiana Goeyers & Van de Vijver sp. nov. LM and SEM. Campbell Island holotype population, sample BAS284 (BR-4578). LM. 44–49. Several frustules in girdle view, often connected to each other. 50–51. Internal valves. 52–62. Several valves in valve face view clearly showing the central ring of spines. SEM. 63. Frustule in girdle view with the narrow copulae. 64. Frustule in girdle view with the narrow copulae on one side and one the side showing the broad mantle with one indicated rimoportula. 65. External view of a valve face and the girdle. Note the central ring of partly hollow spines. 66. External view of two valves connected via their linking spines. The arrow indicates the Müller step. Scale bars = 10 μm.
Figs 20–27 in Revision of the non-marine centric diatom flora (Bacillariophyta) of the sub-Antarctic Campbell Island (southern Pacific Ocean) with the descriptions of five new species
Figs 20–27. Angusticopula chilensis (Grunow) Houk et al. SEM. Campbell Island epitype population, sample BAS286. 20–22. SEM view of several valves in girdle view showing the ligulate, open, narrow girdle bands. The arrows indicate the ligulae in Fig. 20, the rimmed mantle edge in Fig. 21 and the fimbriate pars interior of the copulae in Fig. 22. 23. External view of a valve face. 24. External detail of the very fine striae and the small, rounded areolae. 25. Internal view of an entire valve showing the rimoportulae and the thick mantle. 26. External view of the mantle/valve face junction with several openings of the rimoportulae (arrows). 27. Internal detail of the valve mantle with some rimoportulae. Scale bars: 20–23, 25–26 = 10 μm; 24, 27 = 1 μm.
Figs 28–36 in Revision of the non-marine centric diatom flora (Bacillariophyta) of the sub-Antarctic Campbell Island (southern Pacific Ocean) with the descriptions of five new species
Figs 28–36. Angusticopula cosmica Goeyers & Van de Vijver sp. nov. LM. Campbell Island holotype population, sample BAS303 (BR-4577). 28. Frustule in girdle view showing the discoid chloroplasts. 29. Frustule in valve face view showing the discoid chloroplasts. 30–36. Several valves in valve face view showing clearly the submarginal ring of rimoportulae (arrows) and the striated valve face margin. Scale bar = 10 μm.
Figs 1–19 in Revision of the non-marine centric diatom flora (Bacillariophyta) of the sub-Antarctic Campbell Island (southern Pacific Ocean) with the descriptions of five new species
Figs 1–19. Angusticopula chilensis (Grunow) Houk et al. LM. Campbell Island epitype population, sample BAS286. 1–6, 12–13. Several frustules in girdle view. 5, 12. Internal valves. 7–11, 14–19. Several valves in valve face view clearly showing the marginal rimoportulae. Scale bar = 10 μm.
Figure 3. Diplecogaster tonstricula n in Diplecogaster tonstricula, a new species of cleaning clingfish (Teleostei: Gobiesocidae) from the Canary Islands and Senegal, eastern Atlantic Ocean, with a review of the Diplecogaster-ctenocrypta species-group
Figure 3. Diplecogaster tonstricula n. sp., CCML uncat., paratype, specimen 1, 22.9 mm SL. Head lateral line system. (A) Dorsal view of head; (B) ventral view of head. Bar 1 mm.
FIGURE 1 in Gymnothorax hansi, a new species of moray eel (Teleostei: Anguilliformes: Muraenidae) from the Comoro Islands, Western Indian Ocean
FIGURE 1. Gymnothorax hansi sp. nov. holotype, 101 cm TL, male, photographed shortly after death and before preservation.
FIGURE 2 in Gymnothorax hansi, a new species of moray eel (Teleostei: Anguilliformes: Muraenidae) from the Comoro Islands, Western Indian Ocean
FIGURE 2. Gymnothorax hansi sp. nov. paratype, 101 cm TL, female, photographed shortly after death and before preservation.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.