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2,991 results for “indian ocean”
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
<p>Bio-logging has revealed much about high-latitude seabird migratory strategies, but migratory behaviour in tropical species may differ, with implications for understanding nutrient deposition. Here we use combined light-level and saltwater immersion loggers to study the year-round movement behaviour of adult red-footed boobies (<em>Sula sula rubripes</em>) from the Chagos Archipelago, tropical Indian Ocean to assess migratory movements and estimate nutrient deposition rates based on the number of days they spent ashore. Light levels suggest that red-footed boobies are resident in the Chagos Archipelago year-round, although there are large latitudinal errors this close to the equator. Immersion data also indicate residency with tracked birds returning to land every one or two days. Spending an average of 79.86 ± 2.80 days and 280.84 ± 2.64 nights per year on land allows us to estimate that the 21,670 pairs of red-footed boobies deposit 37.34 ± 0.56 tonnes year<sup>-1</sup> of guano-derived nitrogen throughout the archipelago. Our findings have implications for tropical seabird conservation and phylogenetics, as well as for assessing the impact of seabird nutrients on coral reef ecosystems.</p>
Indian Ocean Tuna Commission yellowfin tuna stock synthesis assessment grid
<p>The Tuna Regional Fisheries Management Organisations commonly develop uncertainty grids to condition models in integrated stock assessments to account for uncertainties in parameters that cannot be estimated from the data. For example, by constructing multidimensional grids that consist of different plausible combinations of assumptions, fixed parameter values, and data sets. It is not always clear, however, whether this is intended as an uncertainty analysis or a sensitivity analysis. The choice of assessment model scenarios and ways of estimating uncertainty has an impact on the risk of exceeding the limit and missing target reference points. Therefore, to better understand the impact of uncertainty on stock assessment advice and the risk of failing to meet conservation and sustainability objectives, we used the uncertainty grid developed by the Indian Ocean Tuna Commission (IOTC) for albacore tuna (<em>Thunnus alalunga</em>), a full factorial design with 1,440 model configurations (IOTC, 2019). This is sufficient to provide contrast, but not too big to be unmanageable. </p> <p>IOTC. 2019 (23-27 July 2019). Report of the 7th Session of the IOTC Working Party on Temperate Tunas: Assessment Meeting. Tech. rept. IOTC-2019-WPTmT07(AS)-R. Indian Ocean Tuna Commission, Shizuoka, Japan</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
A regional high-resolution (1/12 degree) coupled ocean-ecosystem model (INCOIS-BIO-ROMS) output for Indian Ocean
<p>The dataset contains sea-surface temperature, sea-surface salinity, sea-surface dissolved inorganic carbon, sea-surface total alkalinity, sea-surface pH, and sea-surface partial pressure of CO2 for the Indian Ocean region. The data is available from 1980 to 2019 on a monthly time scale. Each of these data has a spatial resolution of 1/12º.</p>
Figure 2 in Notoraja hirticauda, a new species of skate (Chondrichthyes: Rajoidei) from the south-eastern Indian Ocean
Figure 2. Notoraja hirticauda sp. nov. Paratype (CSIRO CA2824, 361 mm TL, female). Dorsal view.
OTTM outputs used to analyze Indian Ocean acidification
<p>OTTM simulates the global ocean biogeochemistry and carbon cycle. It is an offline model driven by a re-analyzing ocean currents and other data from the ECDA system. OTTM utilizes a phosphate restoration approach to calculate the biological pumps and OCMIP-2 protocols to solve the surface ocean carbonate chemistry. A spatio-temporal community compensation depth is parameterized to reduce the biases in the seasonal cycle of pCO2.</p>
Figure 3 in New distributional records of three deepwater cardinalfishes Epigonus angustifrons, E. denticulatus, and E. exodon (Perciformes: Epigonidae) in the South Indian Ocean
Figure 3. – Epigonus denticulatus, CSIRO H 5408-02, 138.6 mm SL, central South Indian Ocean.
Figure 1 in New distributional records of three deepwater cardinalfishes Epigonus angustifrons, E. denticulatus, and E. exodon (Perciformes: Epigonidae) in the South Indian Ocean
Figure 1. – Epigonus angustifrons, CSIRO H 5408-04, 210.3 mm SL, central South Indian Ocean.
Figure 2 in Osteometry and size reconstruction of the Indian and Pacific Oceans' Euthynnus species, E. affinis and E. lineatus (Scombridae)
Figure 2. – Description of the measurements used (see Tab. I).
Estimating Connectivitythrough Larval Dispersalin the Western Indian Ocean
<p>This repository contains data for the manuscript by Gamoyo et al., titled "<strong>Estimating </strong><strong>Connectivity</strong><strong>through </strong><strong>Larval Dispersal</strong><strong>in the Western Indian Ocean</strong>". This manuscript has been submitted for publication to <em>Journal of Geophysical Research - Biogeosciences</em>. </p> <p>Below are descriptions of the data files included here:</p> <ol> <li>The excel files contain data used to plot Table 1, Figure 5, Figure 6 and Figure 7. To summarize the results and identify reefs with consistently high betweenness centrality independent of PLD (as in Table 1), we counted the number of PLDs for which each reef’s betweenness centrality score was higher than the mean for that PLD. Hereafter, we refer to this count as the “occurrence” score for the reef.“Occurrences” ranges from 0 to 5. </li> <li>The NetCDF files contain data used to plot larval trajectories. </li> </ol>
Fig. 1 in A new species of green pit viper of the genus Trimeresurus Lacépède, 1804 (Reptilia: Serpentes: Viperidae) from the Nicobar Archipelago, Indian Ocean
Fig. 1. Holotype (BNHS 3304) of Trimeresurus davidi sp. nov. Photo by Rahul Khot.
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.
A pronounced deep water cooling in the Indian Ocean during ~ 3.3 – 2.3 Ma linked to a major increase in Antarctic ice volume
<p><strong>Benthic foraminifera population abundance and stable isotope data from ODP Site 709. The dataset has been used to reconstruct the bottom water changes in the Indian ocean since 6.5 Ma.</strong></p>
FIG. 1 in New species of Muricidae Rafinesque, 1815 (Mollusca: Gastropoda) from the Western Indian Ocean
FIG. 1. — Schematic drawing of a muricid radula (after Kool 1993).
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.
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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.