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955 results for “Ocean data”
Data for "CO2 ocean bistability on terrestrial exoplanets"
<p>Data for reproducing the plots in "CO2 ocean bistability on terrestrial exoplanets," currently (as of 05/13/2022) under review at AGU Advances</p>
Data used in "Topographic Modulation of the Wind Stress Impact on Eddy Activity in the Southern Ocean"
<p>These are the data used in the creation of figures (Fig3,4,S2) in Cai et al. 2022: "Topographic Modulation of the Wind Stress Impact on Eddy Activity in the Southern Ocean", including 9 experiments. It is obtained from NEMO output.</p>
Script and data of "Role of Frictional Processes in Mesoscale Eddy Available Potential Energy Budget in the Global Ocean"
<p>% File description:</p> <p>1. Cal_conversions.m: a set of functions calculating the EAPE-EKE and EAPE-EKE conversion terms with CESM output data in B-grid</p> <p>2. smooth2a.m: function of boxcar filtering</p> <p>3. CONV_u100_2d.mat: data of the global distribution of upper 100 m averaged conversion terms used in Figure 2 of the manuscript<br> % Variables inside the file:<br> CONVa_H_u100: MAPE-EAPE conversion driven by frictional process<br> CONVo_H_u100: MAPE-EAPE conversion driven by non-frictional process<br> CONVa_V_u100: EAPE-EKE conversion driven by frictional process<br> CONVo_V_u100: EAPE-EKE conversion driven by non-frictional process</p> <p>4. CONV_profile.mat: data of the vertical profiles of global and regional averaged EAPE-EKE conversion terms used in Figure 3 of the manuscript<br> % Variables inside the file:<br> % Vertical profiles of quasi-global-averaged EAPE-EKE conversion <br> CONVa_V_GLO_profile: driven by frictional process<br> CONVo_V_GLO_profile: driven by non-frictional process<br> CONVttw_V_GLO_profile: reproduced by TTW balance <br> <br> % Vertical profiles of EAPE-EKE conversion averaged in western boundary current regions<br> CONVa_V_WBCE_profile: driven by frictional process<br> CONVo_V_WBCE_profile: driven by non-frictional process<br> CONVttw_V_WBCE_profile: reproduced by TTW balance </p> <p> % Vertical profiles of EAPE-EKE conversion averaged in subtropical gyres<br> CONVa_V_STG_profile: driven by frictional process<br> CONVo_V_STG_profile: driven by non-frictional process<br> CONVttw_V_STG_profile: reproduced by TTW balance <br> <br> % Vertical profiles of EAPE-EKE conversion averaged in subpolar gyres<br> CONVa_V_SPG_profile: driven by frictional process<br> CONVo_V_SPG_profile: driven by non-frictional process<br> CONVttw_V_SPG_profile: reproduced by TTW balance </p> <p> % Vertical profiles of EAPE-EKE conversion averaged in the Southern Ocean<br> CONVa_V_SO_profile: driven by frictional process<br> CONVo_V_SO_profile: driven by non-frictional process<br> CONVttw_V_SO_profile: reproduced by TTW balance </p> <p>5. CONV_SeasDiff.mat: data of the seasonal difference (winter minus summer) of global and regional averaged conversion terms used in Figure 3 of the manuscript<br> % Variables inside the file:<br> % Vertical profiles of the seasonal difference of quasi-global-averaged EAPE-EKE conversion <br> CONVa_V_GLO_SeasDiff: driven by frictional process<br> CONVo_V_GLO_SeasDiff: driven by non-frictional process<br> CONVttw_V_GLO_SeasDiff: reproduced by TTW balance <br> <br> % Vertical profiles of the seasonal difference of EAPE-EKE conversion averaged in western boundary current regions<br> CONVa_V_WBCE_SeasDiff: driven by frictional process<br> CONVo_V_WBCE_SeasDiff: driven by non-frictional process<br> CONVttw_V_WBCE_SeasDiff: reproduced by TTW balance </p> <p> % Vertical profiles of the seasonal difference of EAPE-EKE conversion averaged in subtropical gyres<br> CONVa_V_STG_SeasDiff: driven by frictional process<br> CONVo_V_STG_SeasDiff: driven by non-frictional process<br> CONVttw_V_STG_SeasDiff: reproduced by TTW balance <br> <br> % Vertical profiles of the seasonal difference of EAPE-EKE conversion averaged in subpolar gyres<br> CONVa_V_SPG_SeasDiff: driven by frictional process<br> CONVo_V_SPG_SeasDiff: driven by non-frictional process<br> CONVttw_V_SPG_SeasDiff: reproduced by TTW balance </p> <p> % Vertical profiles of the seasonal difference of EAPE-EKE conversion averaged in the Southern Ocean<br> CONVa_V_SO_SeasDiff: driven by frictional process<br> CONVo_V_SO_SeasDiff: driven by non-frictional process<br> CONVttw_V_SO_SeasDiff: reproduced by TTW balance </p> <p>6. Coord_lon_lat_zw.mat: coordinate information for the variables in "CONV_u100_2d.mat", "CONV_profile.mat"and "CONV_SeasDiff.mat"<br> % Variables inside the file:<br> lon: longitude for the global distributions of the conversion terms<br> lat: latitude for the global distributions of the conversion terms<br> z_w: depth of each vertical level for vertical profiles of conversion terms</p>
Data for "Diverging fates of the Pacific Ocean oxygen minimum zone and its core in a warming world" (2022, AGU Advances)
<p>Preprocessed Plotting Data to reproduce Figures from "Diverging fates of the Pacific Ocean oxygen minimum zone and its core in a warming world" (2022, AGU Advances)</p>
ERA-I version data for the paper "Role of Vertical Mixing in the Upper Ocean in the Seasonal Variation of Arctic Amplification"
<p>All the data, used to draw figures in the manuscript are uploaded. The variables' description have been well defined in the manuscript. </p>
Data for 'Storm Surge Modeling as an Application of Local Time-stepping in MPAS-Ocean'
<p>Data for 'Storm Surge Modeling as an Application of Local Time-stepping in MPAS-Ocean', submitted to the Journal for Advances in Modeling Earth Systems (JAMES).</p> <p>The repository consists of three main parts:</p> <ol> <li>The `run` directory contains a pre-built run directory as an example.</li> <li>The `scripts` directory contains the scripts that were used to generate important plots.</li> <li>The `data` directory contains model output from performance and accuracy experiments.</li> </ol>
Supporting Data for Ocean acidification drives global reshuffling of ecological communities
<p>The paradigm that climate change will alter global marine biodiversity is one of the most widely accepted. Yet, its predictions remain difficult to test because laboratory systems are inadequate at incorporating ecological complexity, and common biodiversity metrics have varying sensitivity to detect change. Here, we test for the prevalence of global responses in biodiversity and community-level change to future climate (acidification and warming) from studies at volcanic CO<sub>2</sub> vents across four major global coastal ecosystems and studies in laboratory mesocosms. We detected globally replicable patterns of species replacements and community reshuffling under ocean acidification in major natural ecosystems, yet species diversity and other common biodiversity metrics were often insensitive to detect such community change, even under significant habitat loss. Where there was a lack of consistent patterns of biodiversity change, these were a function of similar numbers of studies observing negative vs positive species responses to climate stress. Laboratory studies showed weaker sensitivity to detect species replacements and community reshuffling in general. We conclude that common biodiversity metrics can be insensitive in revealing the anticipated effects of climate stress on biodiversity – even under significant biogenic habitat loss – and can mask widespread reshuffling of ecological communities in a future ocean. Whilst the influence of ocean acidification on community restructuring can be less evident than species loss, such changes can drive the dynamics of ecosystem stability or their functional change. Importantly, species identity matters, representing a substantial influence of future oceans.</p>
Model data for " Topography Influence on Changes in Spatial Distribution of Eddy Kinetic Energy in the Southern Ocean"
<p>This dataset is for the paper " Topography influence on Changes in Spatial Distribution of Eddy Kinetic Energy in the Southern Ocean"</p>
Dataset supporting the submission to the journal "Ocean Dynamic" and titled "Hybrid covariance super-resolution data assimilation"
Open the record for dataset details and reuse information.
NOAA Coastwatch Satellite Course (Set up an Application Model of Digital Satellite Data Simulation by Video Graphic Technology of Oceanic data Remotely Sensed of algerian coast)
<p>The goal of the course is to familiarize NOAA/university researchers, Sea Grant professionals and agency/org. partners with different types of ocean satellite data, different tools, and teach participants how to use satellite data in their own research/outreach using their choice of software (NOAA ,2023)</p>
Data and figure production code for 'Hydrological cycle amplification imposes spatial pattern on climate change response of ocean pH and carbonate chemistry'
<p>Time mean data, and python code, used to create figures in 'Hydrological cycle amplification imposes spatial pattern on climate change response of ocean pH and carbonate chemistry', Biogeosciences, Hogikyan and Resplandy 2024</p>
Data set related to the manuscript entitled "Paleo-ocean and Evolution of Mars Revealed by Seismic Crustal Stratigraphy"
<p><strong>Detailed calculation results of rock physics modeling and other technical details for manuscript of</strong> <strong>“Paleo-ocean and Evolution of Mars Revealed by Seismic Crustal Stratigraphy”</strong></p>
Data supplementing article "Role of baroclinic processes on flushing characteristics in a highly stratified estuarine system, Mobile Bay, Alabama" submitted to Journal of Geophysical Research: Oceans
<p>The dataset uploaded includes the model inputs and outputs, as well as the time-series of dye mass for each of the 16 numerical experiments that are tested in this study. </p>
Data supplementing article "Estuarine circulation in a shallow but stratified estuary: Different responses to river discharge between deep ship channel and shoals" submitted to Journal of Geophysical Research: Oceans
<p>The dataset uploaded includes the measured salinity and velocity at two monitoring stations (one at the lower Mobile Bay and the other at the eastern edge of ship channel in middle Mobile Bay) and from multiple ship cruises crossing the lower, middle, and upper Mobile Bay. </p> <p>Detail information on the measurement frequency, date, and location can be found in the mat files. Records with bad quality are filled with NaN values. </p> <p> </p> <p> </p>
Data for manuscript submitted to JGR-Oceans on changes in water level due to dredging in the Hudson River estuary
<p>The data associated with a manuscript are provided, along with figures and a Matlab script used to make them. The manuscript is "Bigger tides, less flooding: Effects of dredging on water level in a highly modified estuary" by David K. Ralston, Stefan Talke, W. Rockwell Geyer, Hussein Al'Zubadaei, Christopher K. Sommerfield, submitted to JGR Oceans in June 2018.</p>
Raman data for "Similar controls on calcification under ocean acidification across unrelated coral reef taxa"
<p>This file contains the Raman data and code for "Similar controls on calcification under ocean acidification across unrelated coral reef taxa" by Comeau et al. in Global Change Biology. Run the file, "run.R" in R to reproduce the analysis.</p> <p>Please see the published paper for methods and details: https://onlinelibrary.wiley.com/doi/abs/10.1111/gcb.14379</p>
Data associated with a manuscript submitted to Journal of Geophysical Research - Oceans (Wave generation, dissipation, and disequilibrium in an embayment with complex bathymetry
<p>Observations and Model setup associated with a manuscript submitted to Journal of Geophysical Research - Oceans (Wave generation, dissipation, and disequilibrium in an embayment with complex bathymetry</p>
FESOM model data for Atlantic Water inflow to the Arctic Ocean
<p>The FESOM model data used in a paper (Intensification of the Arctic Ocean warming by sea ice decline: The Nordic Seas as a switchyard) submitted to GRL for review.</p>
Raman data for "Flow-driven micro-scale pH variability affects the physiology of corals and coralline algae under ocean acidification"
<p>This file contains the Raman data and code for "Flow-driven micro-scale pH variability affects the physiology of corals and coralline algae under ocean acidification" by Comeau et al. in Scientific Reports. Run the file, "run.R" in R to reproduce the analysis.</p> <p>Please see the published paper for methods and details: https://doi.org/10.1038/s41598-019-49044-w</p>
Raman data for "Resistance to ocean acidification in coral reef taxa is not gained by acclimatization"
<p>This file contains the Raman data and code for "Resistance to ocean acidification in coral reef taxa is not gained by acclimatization" by Comeau et al. in Nature Climate Change. Run the file, "run.R" in R to reproduce the analysis.</p> <p>Please see the published paper for methods and details: https://doi.org/10.1038/s41558-019-0486-9</p>
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.