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2,991 results for “indian ocean”
Supplementary data for "Coral connectivity and resilience in the southwest Indian Ocean"
<p>Supplementary data (including scripts and figures) for <em>Coral connectivity and resilience in the southwest Indian Ocean</em> in <em>Marine dispersal in the western Indian Ocean</em>.</p>
Concentrations and isotope ratios of N2O and related substrates with hydrographical data obtained in the eastern Indian Ocean in November, 2018
<p>A spreadsheet that includes data presented in the following publication.</p> <p>Sakae Toyoda, Kotaro Terajima, Naohiro Yoshida, Chisato Yoshikawa, Akiko Makabe, Fuminori Hashihama, and Hiroshi Ogawa, Extensive Accumulation of Nitrous Oxide in the Oxygen Minimum Zone in the Bay of Bengal, Global Biogeochemical Cycles, accepted for publication on August 8, 2023.</p>
Visual and acoustic detctions of marine mammals from the M/Y Arctic Sunrise, Indian Ocean, 2021
<p>Supplementory acoustic detection and visual sightings tables along with acoustic recordings (500 kHz, 4-channel .wav files) of visually verified dolphin encounters, during a survey of the Saya de Malha bank region, Indian Ocean in March of 2021. Associated with "Cetaceans of the Saya de Malha bank region, Indian Ocean: A candidate Important Marine Mammal Area" in Regional Studies in Marine Science. </p>
Western Indian Ocean coral diversity observations from 1998–2022
<p><span>Coral reefs are threatened by climate change, thus effective policies and management require spatial prioritization for conservation investments. Our aim was to develop a spatially explicit ecological model to predict current (2020) and future (2050) numbers of coral taxa at moderate scales (i.e., ~6 km<sup>2</sup>). Our machine learning predictive models of coral community attributes in 7039 mapped reef cells in the western Indian Ocean were based on 35 spatially complete influential environmental proxies trained with ~1000 field surveys. Four models explored: influences of climate change, water quality, direct human-resource extraction, and variable selection processes on numbers of coral taxa. Two predictive models examined the predictions of all variables and compared them to a variable-restricted climate change (8 commonly used variables) and human influence model (9 variables). The most frequently selected temperature variables in all models were the median, skewness, excess heat, rate of temperature rise, and kurtosis. However, non-temperature variables of observer, depth, wave energy, dissolved oxygen, salinity, chlorophyll-a, calcite concentrations, sunlight, and net primary productivity were frequently as important or stronger. Human influences of national jurisdiction, distance to people, sediments, and nutrients were selected but less influential when compared to the climate or the full variable models. Comparing models indicated the importance of variable pre-selection processes and variable interactions in predicting climate change and human influences on coral diversity. Comparing climate scenarios in the moderate RCP2.6 and extreme RCP8.5 emission scenarios indicated fewer losses in coral taxa (RCP2.6 = 5.2%, RCP8.5 = 8.1% respectively) relative to cover (RCP2.6 = 14%, RCP8.5 = 34%) over the 30 years. Excess heat and rate of temperature rise variables used in the Intergovernmental Panel on Climate Change (IPCC) forecasts predict more negative effects on corals than our four models but shown here to have low to modest effects.</span></p>
Improved Indian Ocean dipole seasonal prediction in the new generation of CMA prediction system
<p>Hindcast experiment Data for Liu et al. (2023), titled "Improved Indian Ocean dipole seasonal prediction in the new generation of CMA prediction system".</p>
Light and temperature drive the distribution of mesophotic benthic communities in the Central Indian Ocean
<p><strong>Aim:</strong> Research on Mesophotic Coral Ecosystems (MCEs) has increased exponentially in recent decades, and the significance of this ecosystem has been recognised both in terms of biodiversity and distribution. However, this research has mostly focussed on corals and is globally sporadic, with the Indian Ocean remaining largely unexplored and overall MCEs under protected. Hence, baseline data on MCE benthic communities is lacking, but nonetheless essential for developing adequate management strategies. Here, we assess the variation in diversity and community structure of MCEs along the depth gradient and among sites in the Indian Ocean and the environmental parameters that are potentially driving these differences.</p> <p><strong>Location:</strong> Egmont Atoll, Chagos Archipelago, central Indian Ocean.</p> <p><strong>Time period:</strong> Present.</p> <p><strong>Major taxa studied:</strong> Marine benthic invertebrates, plants.</p> <p><strong>Methods:</strong> Using a Remotely Operated Vehicle, we collected video transects between 15 and 160 m. We analysed the diversity and composition of benthic communities and used DistLM analysis to determine the environmental drivers of the community structure over the depth gradient and between sites. </p> <p><strong>Results:</strong> We observed distinct benthic communities along the depth gradient, with a strong community break observed at ~60 m. We also identified a clear zonation of the benthic taxa with depth. This zonation was primarily driven by downward irradiance and temperature, with additional environmental processes playing a minor role in structuring the benthic communities.</p> <p><strong>Main conclusions:</strong> We show that MCEs in the Chagos Archipelago are distinct communities, and their distribution is driven primarily by irradiance and temperature. Our results highlight the variability in benthic community structure of MCEs, both along the depth gradient and at local geographical scales for the study region. This study showcases the uniqueness of MCEs and will aid in predicting their distribution, potential refugia for shallow reefs, and in developing evidence-based protection for MCEs, to maintain overall marine biodiversity.</p>
Figure 2 in Parabothus rotundifrons (Pleuronectiformes: Bothidae), a new bothid flatfish from Saya de Malha Bank (Indian Ocean)
Figure 2. – Collection localities (*) of specimens of Parabothus rotundifrons.
Figure 1 in Parabothus rotundifrons (Pleuronectiformes: Bothidae), a new bothid flatfish from Saya de Malha Bank (Indian Ocean)
Figure 1. – Parabothus rotundifrons sp. nov. holotype, ZIN 49152, male, 108.5 mm SL.
Data from: Isotopic composition of particulate black carbon in the northern Indian Ocean
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Environmental correlates of reptile variation on the Houtman Abrolhos archipelago, eastern Indian Ocean
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Western Indian Ocean coral diversity observations from 1998–2022
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Biological calcification rate and species-specific contributions of coccolithophores to total calcite inventory in the eastern Indian Ocean
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Interbreeding area movement of an adult humpback whale between the East Pacific Ocean and Southwest Indian Ocean
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Data from: Coupling is key for the tropical Indian and Atlantic Oceans to boost super El Niño
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Western Indian Ocean coral and fish normalized site richness collected between 1991 to 2000
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Data from: Tropical Indian Ocean drives Hadley circulation change in a warming climate
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Data from: Same places, same stories? Genomics reveals similar structuring and demographic patterns for four Pocillopora coral species in the southwestern Indian Ocean
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Light and temperature drive the distribution of mesophotic benthic communities in the Central Indian Ocean
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Data for: Geolocation and immersion loggers reveal year-round residency and consequent nutrient deposition rates of adult red-footed boobies in the Chagos Archipelago, tropical Indian Ocean
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Indian Ocean Tuna Commission yellowfin tuna stock synthesis assessment grid
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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.