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Dataset results
19 results for “Oceanic Fronts”
Datasets associated with Agostini, S., Houlbreque, F., Biscéré, T., Harvey, B. P., Heitzman, J. M., Takimoto, R., et al. (2020). Greater mitochondrial energy production provides resistance to ocean acidification in 'winning' hermatypic corals. Front. Mar. Sci. 7. doi:10.3389/fmars.2020.600836.
<p>Datasets associated with Agostini, S., Houlbreque, F., Biscéré, T., Harvey, B. P., Heitzman, J. M., Takimoto, R., et al. (2020). Greater mitochondrial energy production provides resistance to ocean acidification in ‘winning’ hermatypic corals. Front. Mar. Sci. 7. doi:10.3389/fmars.2020.600836.</p>
SST_front_data: ocean thermal fronts detected by the Cayula and Cornillon SIED algorithm
<p>This dataset includes the post-processed data and a demo MATLAB script used for the paper titled "Global trends of fronts and chlorophyll in a warming ocean"</p> <p><strong>SST_FRONT_data.zip</strong> contains maps of sea surface temperature (SST) fronts detected by the Cayula and Cornillon single image edge detection algorithm over global ocean warming hotspot regions and covering the period 2003-2020. The original data was obtained from NASA OB.DAAC MODIS sea surface temperature (SST) product (MODIS Aqua Level 3 SST MID-IR 8 Day 4km Nighttime V2019.0: https://podaac.jpl.nasa.gov/dataset/MODIS_AQUA_L3_SST_MID-IR_8DAY_4KM_NIGHTTIME_V2019.0?ids=&values=&search=MODIS%20Aqua&provider=POCLOUD). </p> <p>SST_FRONT_data.zip also contains <strong>Fdens_Ffreq_Fstre_example.mlx</strong>, which<strong> </strong>is a MATLAB live script showing how to compute metrics of fronts based on frontal maps: frontal frequency (Ffreq), frontal density (Fdens), and frontal strength (Fstre). </p> <p><strong>Fdens_Ffreq_Fstre_example.pdf</strong> is intended for quick viewing of the script above.</p> <p> </p>
Output of simulations for "Atmosphere Response to an Oceanic Sub-mesoscale SST Front: A Coherent Structure Analysis": Part 1
<p>This dataset contains the output of the simulations for the paper "Atmosphere Response to an Oceanic Sub-mesoscale SST Front: A Coherent Structure Analysis" doi: [TO BE COMPLETED]. This is part 1. It contains data for the S1 simulation.</p>
Output of simulations for "Atmosphere Response to an Oceanic Sub-mesoscale SST Front: A Coherent Structure Analysis": Part 2
<p>This dataset contains the output of the simulations for the paper "Atmosphere Response to an Oceanic Sub-mesoscale SST Front: A Coherent Structure Analysis" doi: [TO BE COMPLETED]. This is part 2. It contains the remaining of data for the S1 simulation, the data of the reference simulations RefC and RefW, and the data for the sensitivity analysis of the supplementary material.</p>
Data supporting manuscript "Effect of cold front-induced waves along wetlands boundaries" submitted to JGR Oceans
<p>This directory contains simulation data used in the manuscript "Effect of cold front-induced waves along wetlands boundaries" submitted to jGR Oceans.</p> <p>1. Matlab codes for wind input generation</p> <p> (From NCEP Reanalysis data and NOAA weather station to Delft3D space-varying wind input)</p> <p>2. Wave Power Calculator </p> <p> (Wave number calculation by the dispersion relation Including <em>Newton</em>–<em>Raphson </em>codes, Shallow and Deep-water approximation availability check)</p> <p>Data are intended for the reviewers and may be updated until the review process is complete.</p>
Dataset for "Mesoscale Eddy-Induced Sharpening of Oceanic Tracer Front"
<p>Data of the tracer experiments and the associated diagnostics in the shallow water model for the ocean front study.</p><ul><li><strong>eforc.tar.gz</strong>: diagnosed eddy forcing fields for different tracers;</li><li><strong>exps_trs.tar.gz</strong>: solutions in offline tracer experiments on the coarse grid;</li><li><strong>forc_uvh.tar.gz</strong>: mass fluxes and layer thicknesses used to advect tracers;</li><li><strong>params.tar.gz</strong>: parameters used for tracer experiments</li></ul><p>Please contact Yueyang Lu via <strong>yueyang.lu@miami.edu</strong> if there are any questions.</p>
Compiled seabird densities and distance to fronts in the Southern Ocean
Open the record for dataset details and reuse information.
Distribution. Widespread in subantarctic waters, primarily waters N of the Antarctic Convergence from the S Atlantic and Indian oceans to SW Pacific Ocean. Breeding takes place almost entirely N of the Antarctic polar front. in Otariidae
Distribution. Widespread in subantarctic waters, primarily waters N of the Antarctic Convergence from the S Atlantic and Indian oceans to SW Pacific Ocean. Breeding takes place almost entirely N of the Antarctic polar front.
Figure 3 in Cryptic lineages, cryptic barriers: historical seascapes and oceanic fronts drive genetic diversity in supralittoral rockpool beetles (Coleoptera: Hydraenidae)
Figure 3. Haplotype networks for COI and wingless for Ochthebius (Ochthebius) quadricollis. Colours represent the main geographic areas indicated in the legend.
Figure 2. Calibrated phylogenetic tree obtained with BEAST v.1.10.4 in Cryptic lineages, cryptic barriers: historical seascapes and oceanic fronts drive genetic diversity in supralittoral rockpool beetles (Coleoptera: Hydraenidae)
Figure 2. Calibrated phylogenetic tree obtained with BEAST v.1.10.4 of Ochthebius with focus on subgenus Cobalius (purple shade) and quadricollis species group (green shade) (former subgenus 'Calobius'). Numbers at nodes represent posterior probabilities, and 95% highest posterior density are given in blue horizontal rectangles. Calibrations points used in analysis are specified by grey dots.
Figure 5 in Cryptic lineages, cryptic barriers: historical seascapes and oceanic fronts drive genetic diversity in supralittoral rockpool beetles (Coleoptera: Hydraenidae)
Figure 5. Haplotype networks for COI and wingless for Ochthebius (Cobalius) lejolisii. Colours represent the main geographic areas indicated in the legend.
Figure 1 in Cryptic lineages, cryptic barriers: historical seascapes and oceanic fronts drive genetic diversity in supralittoral rockpool beetles (Coleoptera: Hydraenidae)
Figure 1. Distribution of sampling localities 1-57 (as listed in Table 1) and main surface marine currents and potential geographic barriers to dispersal (inset top-right).
Figure 4 in Cryptic lineages, cryptic barriers: historical seascapes and oceanic fronts drive genetic diversity in supralittoral rockpool beetles (Coleoptera: Hydraenidae)
Figure 4. Haplotype networks for COI and wingless for Ochthebius (Cobalius) subinteger. Colours represent the main geographic areas indicated in the legend.
Ocean Temperature Fronts 1
<p>Ocean Dynamics -- They Are Complex!</p> <ul> <li>This animation reflects the complexity of ocean dynamics acting from the whole Earth scale to the local scale.</li> <li>It depicts a numerical model simulation of ocean physics by the MIT general circulation model at a resolution of 4km. </li> <li>For more information, visit <a href="https://gaelforget.net/artwork/">https://gaelforget.net/artwork/</a></li> </ul>
Ocean Temperature Fronts 2
<p>Ocean Dynamics -- They Are Complex!</p> <ul> <li>This animation reflects the complexity of ocean dynamics acting from the whole Earth scale to the local scale.</li> <li>It depicts a numerical model simulation of ocean physics by the MIT general circulation model at a resolution of 4km. </li> <li>For more information, visit <a href="https://gaelforget.net/artwork/">https://gaelforget.net/artwork/</a></li> </ul>
Dataset: Kinematics of an ebb plume front controlled by a tidal crossflow (JGR: Oceans)
<p>This dataset is published to supplement the AGU Journal of Geophysical Research: Oceans article entitled "Kinematics of an ebb plume front controlled by a tidal crossflow." Each file is a MATLAB figure (.fig format) that contains all the data present in the article figures.</p>
Dataset to accompany the manuscript "Drifter observations reveal intense vertical velocity in a surface ocean front"
<p>This dataset has been used in the publication "Drifter observations reveal intense vertical velocity in a surface ocean front"</p> <p>The dataset contains data from the following platforms<br> · Drifters<br> · Underway-CTD</p>
National Ocean Partnership Program (NOPP) Front Resolving Observational Network with Telemetry (FRONT) site
National Ocean Partnership Program (NOPP) Front Resolving Observational Network with Telemetry (FRONT) site, New England, measurements made between 2000 and 2002.
Dataset for "Mesoscale Eddy-Induced Sharpening of Oceanic Tracer Front and its Parameterization"
<p>Data of the tracer experiments and the associated diagnostics in the shallow water model for the ocean front study.</p><ul><li><strong>eforc.tar.gz</strong>: diagnosed eddy forcing fields for different tracers;</li><li><strong>exps_trs.tar.gz</strong>: solutions in offline tracer experiments on the coarse grid;</li><li><strong>forc_uvh.tar.gz</strong>: mass fluxes and layer thicknesses used to advect tracers;</li><li><strong>params.tar.gz</strong>: parameters (eddy-induced velocities, diffusivity) used for tracer experiments</li></ul><p>Please contact Yueyang Lu via <strong>yueyang.lu@miami.edu</strong> if there are any questions.</p>
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.