Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
77
datasets available to search
ShareScore release 0.9.0
Dataset results
77 results for “ocean currents”
Data from: Towards an integrated database on Canadian ocean resources: benefits, current states, and research gaps
Open the record for dataset details and reuse information.
Ocean Currents from eddy-resolving model simulations
<p>This data set includes the model data used in the paper by Barnier et al. (2020) <strong>"Modelling the impact of flow-driven turbine power plants on great wind-driven ocean currents and the assessment of their energy potential"</strong> to appear in Nature Energy in 2020. It contains the ocean currents produced by eddy-resolving model simulations in the regions of the Gulf Stream and Kuroshio. Two one year long simulations are available. A Control simulation, and a Turbine simulation. In the Turbine simulation, virtual large turbine power plants (TPPs) are implemented at given locations.The effects of the TPPs on the flow is performed in the study of Barnier et al. (2020) by comparing the Control and the Turbine simulations.</p>
Model's configuration for paper "Dynamic and Thermodynamic coupling between the Atmosphere and Ocean near the Kuroshio Current and Extension System"
<p>Here are the data used for the SKRIPS simulations. </p>
Figure 2 in Current knowledge of New Caledonian marine and freshwater ichthyofauna, SW Pacific Ocean: diversity, exploitation, threats and management actions
Figure 2. – Location of fishing effort of the offshore fishing fleet in the New Caledonian EEZ in 2019 (Source: GVT-NC, 2021; modified by Léa Carron).
Figure 2 in Evidence of two species currently under the name of Eleotris fusca (Gobioidei: Eleotridae) in the Indian Ocean
Figure 2. – Bayesian tree of the cytochrome c oxidase subunit (COI) for sequenced specimens of Eleotris. Numbers on the nodes represent posterior probabilities.
Ocean Surface Current Analyses Real-time (OSCAR) Surface Currents - Final 0.25 Degree (Version 2.0)
Ocean Surface Current Analyses Real-time (OSCAR) is a global surface current database and NASA funded research project. OSCAR ocean mixed layer velocities are calculated from satellite-sensed sea surface height gradients, ocean vector winds, and sea surface temperature gradients using a simplified physical model for geostrophy, Ekman, and thermal wind dynamics. Daily averaged surface currents are provided on a global 0.25 x 0.25 degree grid as an average over an assumed well-mixed top 30 m of the ocean from 1993 to present day. OSCAR currents are provided at three quality levels: final, interim and nrt with a respective latency of each of approximately 1 year, 1 month, and 2 days. OSCAR is generated by Earth & Space Research (ESR) https://www.esr.org/research/oscar/. More details on the source datasets, file structure, and methodology can be found in oscarv2guide.pdf.
Ocean Biogeochemistry in the California Current System 2007-2010 L4 Monthly
A coupled physical-biogeochemical ocean model (the MITgcm with BLING biogeochemistry) is a least squares fit to all available ocean observations in the region of the California Current System. This is accomplished iteratively through the adjoint method, using the methodology developed by the Consortium for Estimating the Circulation and Climate of the Ocean (ECCO). The result is a physically realistic estimate of the ocean state. The model domain extends from 28N to 40N and from 130W to 114W. It has a 1/16-degree horizontal resolution (~7km) and 72 vertical levels.The NASA Carbon Monitoring System (CMS) is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System will use the full range of NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning.
Ocean Surface Current Analyses Real-time (OSCAR) Surface Currents - Near Real Time 0.25 Degree (Version 2.0)
Ocean Surface Current Analyses Real-time (OSCAR) is a global surface current database and NASA funded research project. OSCAR ocean mixed layer velocities are calculated from satellite-sensed sea surface height gradients, ocean vector winds, and sea surface temperature gradients using a simplified physical model for geostrophy, Ekman, and thermal wind dynamics. Daily averaged surface currents are provided on a global 0.25 x 0.25 degree grid as an average over an assumed well-mixed top 30 m of the ocean from 1993 to present day. OSCAR currents are provided at three quality levels: final, interim and nrt with a respective latency of each of approximately 1 year, 1 month, and 2 days. OSCAR is generated by Earth & Space Research (ESR) https://www.esr.org/research/oscar/. More details on the source datasets, file structure, and methodology can be found in oscarv2guide.pdf.
Ocean Surface Current Analyses Real-time (OSCAR) Surface Currents - Interim 0.25 Degree (Version 2.0)
Ocean Surface Current Analyses Real-time (OSCAR) is a global surface current database and NASA funded research project. OSCAR ocean mixed layer velocities are calculated from satellite-sensed sea surface height gradients, ocean vector winds, and sea surface temperature gradients using a simplified physical model for geostrophy, Ekman, and thermal wind dynamics. Daily averaged surface currents are provided on a global 0.25 x 0.25 degree grid as an average over an assumed well-mixed top 30 m of the ocean from 1993 to present day. OSCAR currents are provided at three quality levels: final, interim and nrt with a respective latency of each of approximately 1 year, 1 month, and 2 days. OSCAR is generated by Earth & Space Research (ESR) https://www.esr.org/research/oscar/. More details on the source datasets, file structure, and methodology can be found in oscarv2guide.pdf.
Dataset supporting "High-energy surf zone currents and headland rips at a geologically-constrained mesotidal beach", by Mouragues et al., submitted to JGR-Oceans
<p>This dataset comprises three Matlab structure containing drifter raw measurements during the four days of deployment (JGR_Drifters.mat), 5-min time-averaged and depth-averaged of velocity measured by the four ADCPs during the whole field experiment (JGR_Velocities_ADCP.mat) and the offshore wave conditions measured by the wave buoy (JGR_Waves_Offshore.mat).</p>
Leeuwin Current Dynamics in the SE Indian Ocean and Implications for Regional Surface Hydrography since the Latest Miocene: Results from ODP Hole 763A
<p>The main findings of this research are based on comprehensive analyses, including planktic foraminiferal census counts and their stable isotope ratios, as well as XRF analysis of bulk sediments from Ocean Drilling Program Hole 763A in the southeastern Indian Ocean. We have documented valuable insights into the dynamics of the Leeuwin Current and West Australian Current, as well as changes in the surface hydrography and their implications for regional climate. The study established a teleconnection between the shallowing of the mixed layer in the southeast Indian Ocean and the aridity over Northwest Australia.</p>
Post-processed output for paper "Spatial and interannual variability of the Antarctic Slope Current in an eddying ocean-sea ice model"
<p>This dataset contains processed output of the ACCESS-OM2-01 global ocean-sea ice model.</p> <p>The processed output was used for analyses of the paper:</p> <p>Huneke W. G. C., Morrison A. K., Hogg A. McC. Spatial and interannual variability of the Antarctic Slope Current in an eddying ocean-sea ice model, 2022, Journal of Physical Oceanography, doi:10.1175/JPO-D-21-0143.1</p> <p>The Github repository github.com/wghuneke/ASC_SpatialTemporalVariability contains Jupyter notebooks and instructions for how to produce these files from the raw model output.</p> <p>Contact wilma.huneke@anu.edu.au if you want access to the ACCESS-OM2-01 raw model output itself.</p>
Intraseasonal, Annual, and Interannual Variabilities of Subsurface Currents at 4.7°N in the Western Pacific Ocean
<p>This dataset contains the velocity data observed by the mooring at 140°E, 4.7°N. It is supplementary of the paper "<strong>Intraseasonal, Annual, and Interannual Variabilities of Subsurface Currents at 4.7°N in the Western Pacific Ocean</strong>" submitted to the <em>Journal of Geophysical Research: Oceans</em>. If you need any more information or want to utilize the data for research purpose, please contact the author first (Dr. Zhixiang Zhang; E-mail: zzx@qdio.ac.cn).</p>
Numerical model setup for studying the energetics of the ocean current under sea ice
<p>This dataset contains model code and input files for studying the energetics of the ocean current under sea ice. The model used in this study is the Massachusetts Institute of Technology general circulation model (MITgcm). Original source code is the MITgcm_c66m.</p> <p>code: contains code configuration for Exp-PD, Exp-D, Exp-P, and Exp-PD100.</p> <p>code_F: contains code configuration for Exp-PF.</p> <p>input_PD: contains parameter settings and input files for the base experiment Exp-PD (initial perturbation + ice-ocean drag).</p> <p>input_D: contains parameter settings and input files for the sensitivity experiment Exp-D (no initial perturbation).</p> <p>input_P: contains parameter settings and input files for the sensitivity experiment Exp-P (no ice-ocean drag).</p> <p>input_PD100: contains parameter settings and input files for the sensitivity experiment Exp-PD100 (a restart of Exp-P from day 100 and is run for 100 days with the ice-ocean drag).</p> <p>input_F: contains parameter settings and input files for the sensitivity experiment Exp-PF (no sea ice model; Forcings include surface stress, shortwave radiation, and heat and freshwater fluxes diagnosed from Exp-PD).</p>
Data from: Advection by ocean currents modifies phytoplankton size structure
Open the record for dataset details and reuse information.
S-MODE DopplerScatt Level 2 Ocean Winds and Currents Version 2
This dataset contains concurrent airborne DopplerScatt radar retrievals of surface vector winds and ocean currents from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE). S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Data were collected approximately 300 km offshore of San Fransisco during a pilot campaign in October 2021, and two intensive operating periods (IOPs) in Fall 2022 and Spring 2023. DopplerScatt is a Ka-band (35.75 GHz) scatterometer with a swath width of 24 km that records Doppler measurements of the relative velocity between the platform and the surface. It is mounted on a B200 aircraft which flies daily surveys of the field domain during deployments, and data is used to give larger scale context, and also to compare with in-situ measurements of velocities and divergence. Level 2 data includes estimates of surface winds and currents. The V2 data have been cross-calibrated against ADCPs, surface drifters, and the SIO-DopVis instrument collected during the Pilot and IOP1 campaigns. Additional DopVis data collected during IOP1 and IOP2, in addition to IOP2 ADCP and surface drifter data will lead to a reprocessing of this dataset, and it should be regarded as provisional. Data are available in netCDF format.
S-MODE DopplerScatt Level 2 Ocean Winds and Currents Version 1
This dataset contains concurrent airborne DopplerScatt radar retrievals of surface vector winds and ocean currents from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) during a pilot campaign conducted approximately 300 km offshore of San Francisco over two weeks in October 2021. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. DopplerScatt is a Ka-band (35.75 GHz) scatterometer with a swath width of 24 km that records Doppler measurements of the relative velocity between the platform and the surface. It is mounted on a B200 aircraft which flies daily surveys of the field domain during deployments, and data is used to give larger scale context, and also to compare with in-situ measurements of velocities and divergence. Level 2 data includes estimates of surface winds and currents. The V1 data have been cross-calibrated against SIO-DopVis leading to the 'dopvis_2021' current geophysical model function. It is expected that additional DopVis data will lead to a reprocessing of this data set and it should be regarded as provisional, to be refined after future S-MODE deployments. Data are available in netCDF format.
ScienceDex guides
Understand access before you commit
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.