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234 results for “global ocean”
Data from: Concentrations and ratios of particulate organic carbon, nitrogen, and phosphorus in the global ocean
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Data from: A daily global mesoscale ocean eddy dataset from satellite altimetry
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Data from: Novel and disappearing climates in the global surface ocean from 1800 to 2100
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Data from: Critically endangered island endemic or peripheral population of a widespread species? Conservation genetics of Kikuchi’s gecko and the global challenge of protecting peripheral oceanic island endemic vertebrates
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Pulsated Global Hydrogen and Methane Flux at Mid-Ocean Ridges driven by Pangea Breakup (Supplementary Material)
<p>Supplementary Material for Merdith et al, Pulsated Global Hydrogen and Methane Flux at Mid-Ocean Ridges driven by Pangea Breakup, published in G-cubed.</p>
Scale and Space Dependent Horizontal Eddy Diffusivity at the Global Surface Ocean
<p>Sea surface temperature (SST) and idealized temperature tracer based estimates of horizontal diffusivity at the ocean surface. See https://doi.org/10.5281/zenodo.4126315 for the code to reproduce these estimates.</p> <p>There are two files which include the following</p> <p>KxKy_SST_MITGCM_025.nc</p> <p>SST based estimates are based on 35 years of satellite SST data (1982-2017) and we have divided the data in 30 chuncks, both using a 5 year and 10 year sub-sampling. The 'ens' dimension marks these chuncks whereas 'lat' and 'lon' mark the two Cartesian directions (latitude and longitude). Note that 'ens' can be also viewed as time.</p> <p>There are two fields 'Kx' and 'Ky' for each dataset ('SST' for the OI-SST based estimates or 'MITGCM' for the tracer simulation based estimates) and length of sub-sampling. 'Kx' is the diffusivity in 'lon' direction whereas 'Ky' is the diffusivity in 'lat' direction. Data is given at 0.25° resolution, but the effective resolution is twice that i.e. 0.5°.</p> <p>K_SST_MITGCM_2deg.nc</p> <p>Scale dependent estimate of the diffusivity magnitude i.e. <span class="math-tex">\(K= \sqrt{K_xK_y}\)</span> . As for the other data, here as well the estimates are done using 5 year and 10 year sub-sampling, and all the data is interpolated to a common 2° by 2° global grid. The coordinate 'dg' defines the scale in degrees. Note that again the effective resolution of the estimates is twice the 'dg'.</p> <p> </p> <p> </p>
Data used in the Living Planet Index analysis in Pacoureau et al. 2020 - Half a century of global decline in oceanic sharks and rays
<p>Data used in the Living Planet Index analysis in Pacoureau et al. 2020 - Half a century of global decline in oceanic sharks and rays.</p> <p>Available at <a href="http://www.sharkipedia.org">www.sharkipedia.org</a>.</p>
GBIF custom download of all ocean data from: Establishing the foundation for the global observing system for marine life
<p>This archive has 3 files: </p> <p>ocean_map.pdf - A map of coastal and marine records used to filter GBIF datasets.</p> <p>citations.txt - a list of citation descriptions of all of the datasets used in the export. </p> <p>ocean_datasets_export.tsv - GBIF custom export from 4 August 2020</p> <ul> <li>datasetkey : GBIF datasetkey </li> <li>datasetname : GBIF dataset name</li> <li>publisher : GBIF publisher name</li> <li>publishingorgkey : GBIF publisher key</li> <li>ocean_occ_count : How many occurrences occurred in the ocean</li> <li>occ_count_total : Total occurrences in the ocean </li> <li>number_of_years : Number of years the dataset published occurrences</li> <li>unique_years : Unique values of published years separated by ;</li> <li>percent_in_ocean : Percentage of dataset's occurrences that fall within the polygons from ocean_map.pdf</li> <li>is_sampling_event : is the dataset marked as a sampling event dataset by GBIF? </li> <li>is_obis : is the dataset published by OBIS? </li> <li>is_past_10_years : has the dataset been published in the last 10 years? </li> </ul> <p> </p>
Data from: Living in a high CO2 world: a global meta-analysis shows multiple trait-mediated responses of fish to ocean acidification
Understanding how marine organisms will be affected by global change is of primary importance to ensure ecosystem functioning and nature contributions to people. This study meets the call for addressing how life-history traits mediate effects of ocean acidification on fish. We built a database of overall and trait-mediated responses of teleost fish to future CO2 levels by searching the scientific literature. Using a meta-analytical approach, we investigated the effects of projected CO2 levels by IPCC for 2050-2070 and 2100 on fish eco-physiology and behavior from 320 contrasts on 42 species, stemming from polar to tropical regions. Moreover, since organisms may experience a mosaic of carbonate chemistry in coastal environments (e.g. in estuaries, upwelling zones and intertidal habitats), which may have higher pCO2 values than open ocean waters, we assessed responses from additional 103 contrasts on 21 fish species using pCO2 levels well above IPCC projections. Under mid- and end-of-century CO2 emission scenarios, we found multiple CO2-dose dependent effects on calcification, resting metabolic rate, yolk, behavioral performances, along with increased predation risk and decreased foraging, particularly for larvae. Importantly, many of the traits considered will not confer fish tolerance to elevated CO2 and far-reaching ecological consequences on fish population replenishment and community structure will likely occur. Extreme CO2 levels well above IPCC projections showed effects on fish mortality and calcification, while growth, metabolism and yolk were unaffected. CO2 exposures in short-term experiments increased fish mortality, which in turn decreased in longer-term exposures. Whatever the elevated CO2 levels considered, some key biological processes (e.g. reproduction, development, habitat choice) resulted critically understudied. Fish are an important resource for livelihoods in coastal communities and a key component for stability of marine ecosystems. Given the multiple trait-mediated effects evidenced here, we stress the need to fill the knowledge gap on important eco-physiological processes and to expand the number and duration of ocean acidification studies to multi-generational, multiple stressor (e.g. warming, hypoxia, fishing) and species interactions experiments to better elucidate complex ecosystem-level changes and how these changes might alter provisioning of ecosystem services.
Data from: Variation in plastic responses of a globally distributed picoplankton species to ocean acidification
Phytoplankton are the basis of marine food webs, and affect biogeochemical cycles. As CO2 levels increase, shifts in the frequencies and physiology of ecotypes within phytoplankton groups will affect their nutritional value and biogeochemical function. However, studies so far are based on a few representative genotypes from key species. Here, we measure changes in cellular function and growth rate at atmospheric CO2 concentrations predicted for the year 2100 in 16 ecotypes of the marine picoplankton Ostreococcus. We find that variation in plastic responses among ecotypes is on par with published between-genera variation, so the responses of one or a few ecotypes cannot estimate changes to the physiology or composition of a species under CO2 enrichment. We show that ecotypes best at taking advantage of CO2 enrichment by changing their photosynthesis rates most should increase in relative fitness, and so in frequency in a high-CO2 environment. Finally, information on sampling location, and not phylogenetic relatedness, is a good predictor of ecotypes likely to increase in frequency in this system.
Climate-driven change to phytoplankton blooms across the global ocean - CMIP6 Phenology Outputs
<p>Bloom phenology metrics calculated from CMIP6 chlos outputs archived. Models include 'CNRM-ESM2-1-LR', 'MPI-ESM1-2-LR', 'NorESM2-LM' and 'NorESM2-MM'. Metrics calculated using daily outputs resampled to 5 day means with the methods outlined in Thomalla et al. (2023) Nature Climate Change (doi: 10.1038/s41558-023-01768-4).</p><p>Data are organised along the dimensions of model, year, latitude and longitude.</p><p>Data include the Historical (1850-2014) and high emissions SSP5-8.5 (2015-2100) simulations.</p><p>Metrics include bloom initiation, bloom termination, bloom duration, bloom integrated chlorophyll-a, bloom mean chlorophyll-a, bloom maximum chlorophyll-a, bloom maximum date, number of bloom peaks and seasonal cycle reproducibility.</p>
Latitude and longitude grids for global oceanic seamless POC concentration products
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Data and scripts (1) for Storkey et al, "Resolution dependence of interlinked Southern Ocean biases in global coupled HadGEM3 models", GMD (2024)
<p><br> ================================================================<br> Data and scripts for producing plots from Storkey et al (2024):<br> "Resolution dependence of interlinked Southern Ocean biases in<br> global coupled HadGEM3 models"<br> ================================================================</p> <p>The plots in the paper consist of 10-year mean fields from the third <br>decade of the spin up and timeseries of scalar quantities for the first<br>150 years of the spin up. The data to produce these plots are stored<br>in the MEANS_YEARS_21-30 and TIMESERIES_DATA directories respectively.</p> <p>Note that due to the size limit on records on Zenodo, the 10-year mean <br>output from the N216-ORCA12 integration has been stored as a separate<br>record.</p> <p>Scripts to produce the plots are in SCRIPT, with section definitions<br>in SECTIONS. Bespoke plotting scripts are included in SCRIPT. They use<br>python 3 including the Matplotlib, Iris and Cartopy packages. The <br>plotting of the timeseries data used the Marine_Val VALSO-VALTRANS <br>package which is available here:</p> <p> https://github.com/JMMP-Group/MARINE_VAL/tree/main/VALSO-VALTRANS </p> <p>Much of the processing of the model output data was performed with the<br>CDFTools package, which is available here:</p> <p> https://github.com/meom-group/CDFTOOLS</p> <p>and the NCO package:</p> <p> https://web.mit.edu/course/13/13.715/nco-2.8.1/doc/</p>
SI_Robust Increase in South Asian Monsoon Rainfall Under Global Warming Driven by Southern Ocean Heat Uptake and Eurasia Cloud Changes
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Dataset for the Manuscript "Tropical Precipitation and Marine Eco-System Response to Early Indian Ocean Dipole under Global Warming"
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Global oceanic PON concentration products derived from Aqua-MODIS through a Gaussian Process Regression model
<p><span>This dataset integrates the monthly PON concentration products from 2002 to 2022 of the global ocean, which were derived from Aqua-MODIS based on our newly developed Gaussian Process Regression models.</span></p>
FIGURE 19 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 19. Bathymetric distribution of Agathotanaidae.
FIGURE 20 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 20. Latitudinal distribution of Agathotanaidae by latitude.
FIGURE 22 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 22. Body length of type specimen of each Agathotanaidae species.
Pieces in a global puzzle: Population genetics at two whale shark aggregations in the western Indian Ocean
<p>The whale shark Rhincodon typus is found throughout the world's tropical and warm-temperate ocean basins. Despite their broad physical distribution, research on the species has been concentrated at a few aggregation sites. Comparing DNA sequences from sharks at different sites can provide a demographically neutral understanding of the whale shark's global ecology. Here, we created genetic profiles for 84 whale sharks from the Saudi Arabian Red Sea and 72 individuals from the coast of Tanzania using a combination of microsatellite and mitochondrial sequences. These two sites, separated by approximately 4500 km (shortest over-water distance), exhibit markedly different population demographics and behavioral ecologies. Eleven microsatellite DNA markers revealed that the two aggregation sites have similar levels of allelic richness and appear to be derived from the same source population. We sequenced the mitochondrial control region to produce multiple global haplotype networks (based on different alignment methodologies) that were broadly similar to each other in terms of population structure but suggested different demographic histories. Data from both microsatellite and mitochondrial markers demonstrated the stability of genetic diversity within the Saudi Arabian aggregation site throughout the sampling period. These results contrast previously measured declines in diversity at Ningaloo Reef, Western Australia. Mapping the geographic distribution of whale shark lineages provides insight into the species' connectivity and can be used to direct management efforts at both local and global scales. Similarly, understanding historical fluctuations in whale shark abundance provides a baseline by which to assess current trends. Continued development of new sequencing methods and the incorporation of genomic data could lead to considerable advances in the scientific understanding of whale shark population ecology and corresponding improvements to conservation policy.</p>
ScienceDex guides
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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.