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234 results for “Global Ocean”
FIGURE 13. Bunburia javanica n in Three new species of agathotanaids (Tanaidacea: Paratanaoidea: Tanaidomorpha) from the lower bathyal zone off southwestern Java, Indonesia, Indian Ocean with notes on the global distribution and diversity of Agathotanaidae
FIGURE 13. Bunburia javanica n. sp. Holotype female: (A) setules on antenna article-2; (B) spinules on inner margin of chela; (C) heavily chitinised parts of the chela including the fixed finger terminal spine, unguis and teeth of cutting edges (in darker colouration); (D) microtrichia on pereopod-1 propodus; (E) dorsodistal spines on pereopod-2 propodus. Scale bars: 50 µm.
FIGURE 1 in Three new species of agathotanaids (Tanaidacea: Paratanaoidea: Tanaidomorpha) from the lower bathyal zone off southwestern Java, Indonesia, Indian Ocean with notes on the global distribution and diversity of Agathotanaidae
FIGURE 1. Global distribution of Agathotanais. Specific and approximate locations represented by red circle and blue triangle, respectively. Approximate locations were based on coordinates provided for geographic name in www.marineregions.org when latitude and longitude are not available in the respective literature.
FIGURE 16. Paranarthrura sundanensis n in Three new species of agathotanaids (Tanaidacea: Paratanaoidea: Tanaidomorpha) from the lower bathyal zone off southwestern Java, Indonesia, Indian Ocean with notes on the global distribution and diversity of Agathotanaidae
FIGURE 16. Paranarthrura sundanensis n. sp. (A–G) Holotype female and (H–H`) allotype male: (A) cheliped, right; (B–G) pereopods 1–6, right; pleopods, (H) lateral and (H`) ventral views. Scale bar: 100 µm.
FIGURE 15. Paranarthrura sundanensis n in Three new species of agathotanaids (Tanaidacea: Paratanaoidea: Tanaidomorpha) from the lower bathyal zone off southwestern Java, Indonesia, Indian Ocean with notes on the global distribution and diversity of Agathotanaidae
FIGURE 15. Paranarthrura sundanensis n. sp. Holotype female: (A) antennule, left; (B) antenna, left; (C) labrum; (D) mandible, left; (E) labium; (F) maxillule; (G) maxillipeds. Asterisk indicates missing part. Scale bars: 100 µm.
FIGURE 18 in Three new species of agathotanaids (Tanaidacea: Paratanaoidea: Tanaidomorpha) from the lower bathyal zone off southwestern Java, Indonesia, Indian Ocean with notes on the global distribution and diversity of Agathotanaidae
FIGURE 18. Dendrogram of similarity (Bray Curtis, average linkage clustering method) in the distribution of Agathotanaidae.
FIGURE 21 in Three new species of agathotanaids (Tanaidacea: Paratanaoidea: Tanaidomorpha) from the lower bathyal zone off southwestern Java, Indonesia, Indian Ocean with notes on the global distribution and diversity of Agathotanaidae
FIGURE 21. The number of marine benthic biogeographical provinces that each Agathotanaidae species was recorded.
Speciation data for "Genesis of a CO2-rich and H2O-depleted atmosphere from the Earth's early global magma ocean"
<p>Here we present the speciation statistics for volatile-bearing pyrolite melts. For computational details and nomenclature, please refer to the manuscript, "Genesis of a CO2-rich and H2O-depleted atmosphere from the Earth’s early global magma ocean" by N.V. Solomatova and R. Caracas.</p> <p>The data is organized by composition and temperature.</p> <p>File names contain the lattice parameter (e.g., a16.0) in Angstroms, indicating that the cell is 16x16x16 Angstroms in size, for example. The corresponding volumes and densities are tabulated in each folder (e.g., "4CO_4000K_densities.dat"). </p> <p>The first column of each *stat.dat file contains the species type. Long species (e.g., Na_1Ca_2Fe_4Mg_30Al_3Si_24O_93C_4) typically represent the silicate melt and short species (e.g., O_1C_1 and O_2C_1) represent the vapor phase. Underscores represent subscripts (e.g., O_2C_1 denotes a CO2 molecule). The second column is the lifetime of the species in femtoseconds. The third column is the percent of the total. The fourth column is the number of elements in each species (e.g., O_1C_1 has 2 elements and O_2C_1 has 3 elements). Note that the majority of the "H_1" species represent free protons within the melt phase.</p>
Data from: Novel and disappearing climates in the global surface ocean from 1800 to 2100
<p>Marine ecosystems are experiencing unprecedented warming and acidification caused by anthropogenic carbon dioxide. For the global sea surface, we quantified the degree that present climates are disappearing and novel climates (without recent analogs) are emerging, spanning from 1800 through different emission scenarios to 2100. We quantified the sea surface environment based on model estimates of carbonate chemistry and temperature. Between 1800 and 2000, no gridpoints on the ocean surface were estimated to have experienced an extreme degree of global disappearance or novelty. In other words, the majority of environmental shifts since 1800 were not novel, which is consistent with evidence that marine species have been able to track shifting environments via dispersal. However, between 2000 and 2100 under Representative Concentrations Pathway (RCP) 4.5 and 8.5 projections, 10–82% of the surface ocean is estimated to experience an extreme degree of global novelty. Additionally, 35–95% of the surface ocean is estimated to experience an extreme degree of global disappearance. These upward estimates of climate novelty and disappearance are larger than those predicted for terrestrial systems. Without mitigation, many species will face rapidly disappearing or novel climates that cannot be outpaced by dispersal and may require evolutionary adaptation to keep pace.</p>
Satellite-retrieved cloud top radiative cooling data in 2014 over global ocean
<p>Satellite-retrieved cloud-top radiative cooling data in 2014 over global ocean, used in a manuscript submitted to GRL (Zheng et al., 2021, GRL).</p>
Implementing Riverine Biogeochemical Inputs in ECCO-Darwin: A Sensitivity Analysis of Terrestrial Fluxes in a Data-Assimilative Global Ocean Biogeochemistry Model
<p>Resolving riverine biogeochemical inputs in ocean biogeochemistry models is pivotal for capturing the spatiotemporal variability of nutrients and carbon in coastal regions and in the global ocean. ECCO-Darwin is a pioneering data-assimilative global-ocean biogeochemistry model, which, to date, has focused on the pelagic zone. In this work, we use an optimized version of ECCO-Darwin to perform a sensitivity analysis to quantify the response of the open ocean and coastal margins to lateral inputs of carbon and nutrients. We generate riverine inputs by combining point-source freshwater discharge from JRA55-do with the Global NEWS 2 watershed model, accounting for lateral inputs from 5171 watersheds worldwide. While adding carbon and nutrients along with freshwater improves biogeochemical skill in river plume regions and coastal waters, the open-ocean response may be overestimated due to an excess of carbon and nutrients advected offshore. This highlights the need for a more nuanced representation of land-to-ocean and nearshore processes for quantifying how global ocean primary production and carbon cycling respond to land-to-ocean inputs.</p>
Modified future diurnal variability of the global surface ocean CO2 system
<p>The NEMO-PISCES-QUOTA model outputs used for publication figures and the model executables.</p>
Dataset to train, validate and reconstruct POC over the global ocean for 2009-2013 based on PlankTOM12
<p>The distribution of in situ UVP5 measurements over the period 2009-2013 was used to create synthetic data by sampling a global biogeochemical ocean model PlankTOM12 at UVP5 time and location.</p> <p>The synthetic data set is used to train, validate and test Machine Learning methods to reconstruct particulate organic carbon concentration. </p> <p>These data are part of publication at the GMD. </p>
Thaliaceans data in the global ocean and the South China Sea
<p>This dataset contains two sheets, one is the global presence-absence records of some typical thaliacean species with environmental data and the other one is the abundance of thaliaceans with environmental data in the South China Sea.</p>
Toward a Better Understanding of the Global Ocean Copper Distribution and Speciation through a Data-constrained Model
<p>MATLAB codes for a global marine copper model under the AWESOME OCIM framework. </p> <p>Prepared for manuscript submission.</p>
Annually resolved propagation of CFCs and SF6 in the global ocean over eight decades - dataset
<p>This archive contains the reconstructed anthropogenic transient tracer concentrations (CFC-11, CFC-12, and SF6) at annual resolution 1940-2021 and their associated uncertainties. The details of the method and data used are described in: Cimoli, L., Gebbie, G., Purkey, S. G., & Smethie, W. M. (2023). Annually resolved propagation of CFCs and SF6 in the global ocean over eight decades. Journal of Geophysical Research: Oceans, 128, e2022JC019337. https://doi.org/10.1029/2022JC019337.</p> <p>Each netcdf file returns the result for a neutral density surface (see file's name). Each file contains:<br> - latitude, longitude coordinates and time array of the reconstruction<br> - the reconstructed tracer concentration (e.g. cfc11_rec)<br> - the errorbars associated with the reconstruction; note that they are asymmetric and so both positive a negative errorbars are reported (e.g. cfc11_rec_posErr and cfc11_rec_negErr)<br> - the anthropogenic transient tracer observations on that density surface (e.g cfc11_obs)</p> <p>If you find this dataset useful, please cite the associated publication. If you want to collaborate on further analysis using this dataset or for any questions, please reach out to laura.cimoli@damtp.cam.ac.uk</p>
Data for "Satellite-observed strong subtropical ocean warming as an early signature of global warming"
<p>Data for “Satellite-observed strong subtropical ocean warming as an early signature of global warming”</p>
Supporting data for manuscript: "Global-scale evaluation of coastal ocean alkalinity enhancement in a fully-coupled Earth system model"
<p>Supporting data for manuscript: "Global-scale evaluation of coastal<br> ocean alkalinity enhancement in a fully-coupled Earth system model"</p> <p>Authors: Julien Palmieri and Andrew Yool</p> <p>Institute: National Oceanography Centre, European Way, Southampton<br> SO14 3ZH, UK</p> <p>This repository consists of four main sets of files:</p> <p>1. Matlab scripts used for analysis, figure plotting and table<br> preparation</p> <p> Filenames of the format: Figure_??.m</p> <p>2. Raw netCDF output files from UKESM1 for six model experiments</p> <p> Filenames of the format: medusa_c*.nc</p> <p>3. BGCVal processed timeseries shelve files</p> <p> Filenames of the format: u-c*.shelve.txt</p> <p>4. CMM2 processed timeseries netCDF files</p> <p> Filenames of the format: c*_global.nc</p> <p>File sets 2-4 are read and processed by script files in file set 1<br> </p>
Data from: Going with the flow: the role of ocean circulation in global marine ecosystems under a changing climate
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Data from: An analysis of the impacts of Cretaceous Oceanic Anoxic Events on global molluscan diversity dynamics
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Supporting Data for Ocean acidification drives global reshuffling of ecological communities
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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.