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27 results for “Ocean transport,”

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edi44/100

Small, coastal temperate rainforest watersheds dominate organic carbon transport to the northeast Pacific Ocean

The northeast Pacific Coastal Temperate Rainforest (NPCTR) extending from southeast Alaska to northern California is characterized by high precipitation and large stores of recently fixed biological carbon. We show that 3.4 Tg-C yr-1 as DOC is exported from the NPCTR drainage basin to the coastal ocean. More than 56% of this riverine DOC flux originates from thousands of small (mean = 118 km2), coastal watersheds that comprise 22% of the NPCTR drainage basin. The average DOC yield from NPCTR coastal watersheds (6.20 g-C m-2 yr-1) exceeds that from Earth’s tropical regions by roughly a factor of three. The highest yields occur in small, coastal watersheds in the central NPCTR due to the balance of moderate temperature, high precipitation, and high soil organic carbon stocks. These findings indicate that DOC export from NPCTR watersheds may play an important role in regional-scale heterotrophy within near-shore marine ecosystems in the northeast Pacific. These are the datasets used in this analysis

openCC0Jun 2023View details →
zenodo40/100

Freshwater transport from the Atlantic to the Pacific Ocean through the atmosphere

<p>emp_eul_lagrang.mat: This mat file contains global evaporation - precipitation (E-P) data obtained from ERA-Interim, Eulerian and Lagrangian method. The validation of the atmospheric water-mass version of TRACMASS had been done using this data.</p> <p>psixz_ep_eastward.zip: This zip file contains 12 netcdf files corresponding to each month. These files were used to compute E - P, atmospheric freshwater transport as a function of month and&nbsp; atmospheric zonal water-mass stream function for the water-mass traveling from the Atlantic to Pacific Ocean over Afro-Eurasia.&nbsp;</p> <p>psixz_ep_westward.zip: Same as above but for the water-mass traveling from the Atlantic to Pacific Ocean over America.&nbsp;</p> <p>resdt_eastward.nc: This netcdf file consists of atmospheric water residence time extracted from water-mass trajectories traveling from the Atlantic to Pacific Ocean over Afro-Eurasia.</p> <p>resdt_westward.nc: Same as above but from water-mass trajectories traveling from the Atlantic to Pacific Ocean over America.</p> <p>resdt_all.nc: This netcdf file consists of atmospheric water residence time computed from water-mass trajectories traveling from the Atlantic to Pacific Ocean regardless of its pathway (Eastward over Afro-Eurasia + Westward over America).</p> <p>resdt_all_global.nc: This netcdf file consists of global atmospheric water residence time calculated from the global TRACMASS run.</p> <p>&nbsp;</p>

opencc-by-4.0Oct 2019View details →
zenodo40/100

Suppl. figures of otoliths of pelagic shorefish larvae captured over the Galapagos Rift for Victor, B.C. (2023) Rapid long-distance multispecies transport of shorefish larvae to the oceanic tropical eastern Pacific, revealed by DNA-barcodes and otolith aging of larvae captured over the Galapagos Rift

<p>Supplementary&nbsp;figures of otoliths of pelagic shorefish larvae captured over the Galapagos Rift</p> <p>Victor, B.C. (2023)</p> <p><strong>Rapid long-distance multispecies transport of shorefish larvae to the oceanic tropical eastern Pacific, revealed by DNA-barcodes and otolith aging of larvae captured over the Galapagos Rift</strong></p> <p>in volume: Early Life History and Biology of Marine Fishes: Research inspired by the work of H Geoffrey Moser</p> <p>Figure Sup A1&nbsp;Sagittal otolith of 5.9 mm SL Stegastes sp. fish larva (Pomacentridae) captured over the Galapagos Rift, age since hatching is 23 days.</p>

opencc-by-4.0Mar 2023View details →
zenodo40/100

Suppl. figures of pelagic shorefish larvae captured over the Galapagos Rift for Victor, B.C. (2023) Rapid long-distance multispecies transport of shorefish larvae to the oceanic tropical eastern Pacific, revealed by DNA-barcodes and otolith aging of larvae captured over the Galapagos Rift

<p>Supplementary figures of pelagic shorefish larvae captured over the Galapagos Rift</p> <p>Victor, B.C. (2023)</p> <p><strong>Rapid long-distance multispecies transport of shorefish larvae to the oceanic tropical eastern Pacific, revealed by DNA-barcodes and otolith aging of larvae captured over the Galapagos Rift</strong></p> <p>in volume: Early Life History and Biology of Marine Fishes: Research inspired by the work of H Geoffrey Moser</p> <p>Figure S1&nbsp;Gobioid fish larvae captured over the Galapagos Rift.</p> <p>Figure S2&nbsp;Labrid fish larvae captured over the Galapagos Rift.</p> <p>Figure S2. Pomacentrid&nbsp;fish larvae captured over the Galapagos Rift.</p> <p>Figure S4 Lythrypnus sp 5.4 mm SL fish larva&nbsp;captured over the Galapagos Rift.</p> <p>Figure S4a&nbsp;Lythrypnus sp 5.4 mm SL fish larva (head) captured over the Galapagos Rift.</p> <p>Figure S5 Abudefduf troschelii 7.3&nbsp;mm SL fish larva&nbsp;captured over the Galapagos Rift.</p> <p>Figure S6 Chaetodon&nbsp;humeralis 8.9&nbsp;mm SL fish larva&nbsp;captured over the Galapagos Rift.</p> <p>Figure S7 Gerreidae 10.6 mm SL fish larva&nbsp;captured over the Galapagos Rift.</p> <p>Figure S8 Neoniphon suborbitalis&nbsp;6.8 mm SL fish larva&nbsp;captured over the Galapagos Rift.</p> <p>Figure S9 Ophioblennius steindachneri 10.6 mm SL fish larva&nbsp;captured over the Galapagos Rift.</p> <p>Figure S9a Ophioblennius steindachneri 10.6 mm SL fish larva (head) captured over the Galapagos Rift.</p> <p>Figure S9b Ophioblennius steindachneri 10.6 mm SL fish larva (ventral) captured over the Galapagos Rift.</p> <p>Figure Sup10 Sphoeroides lobatus 12.0 mm SL fish larva&nbsp;captured over the Galapagos Rift.</p>

opencc-by-4.0Mar 2023View details →
dryad40/100

Modeling ocean heat transport to the grounding lines of Pine Island, Thwaites, Smith, and Kohler glaciers, West Antarctica

Open the record for dataset details and reuse information.

publicAug 2024View details →
zenodo36/100

CESM1-SOM Climatologies used for "Climate Sensitivity is Sensitive to Changes in Ocean Heat Transport" (published in Journal of Climate, Mar 2022)

<p>CESM1-SOM climatologies.</p> <p>Pre-industrial control run = SOM_Control.cam5.0030-0059.ann.nc</p> <p>CO2-doubling experiments:</p> <ul> <li>OHT + 30% =&nbsp;SOM_OHFC_P30_2XCO2_032019.cam5.0030-0059.ann.nc</li> <li>OHT + 15% =&nbsp;SOM_OHFC_P15_2XCO2_032019.cam5.0030-0059.ann.nc</li> <li>Control OHT =&nbsp;SOM_2XCO2_032019.cam5.0030-0059.ann.nc</li> <li>OHT -&nbsp;15% =&nbsp;SOM_OHFC_M15_2XCO2_032019.cam5.0030-0059.ann.nc</li> <li>OHT - 30% =&nbsp;SOM_OHFC_M30_2XCO2_032019.cam5.0030-0059.ann.nc</li> </ul>

opencc-by-4.0Mar 2022View details →
zenodo36/100

Data sets for "Formation of an Al-rich niccolite-type silica in subducted oceanic crust: implications for water transport to the deep lower mantle"

<p>This is the XRD and IR datasets for the article &quot;Formation of an Al-rich niccolite-type silica in subducted oceanic crust: implications for water transport to the deep lower mantle&quot; by Liu and Yuan et al.</p>

opencc-by-4.0Nov 2021View details →
zenodo36/100

Reviewed Articles from the study "Running away to sea: a theoretical model of anthropogenic factors contribution for microplastics transportation from rivers to the ocean".

<p>Table containing the papers reviewed from the study &quot;Running away to sea: a theoretical model of anthropogenic factors contribution for microplastics transportation from rivers to the ocean&quot;.&nbsp;</p>

opencc-by-4.0May 2022View details →
zenodo36/100

Data for "Properties of the lateral mesoscale eddy-induced transport in a high-resolution ocean model: Beyond the flux-gradient relation" (Lu et al. JPO)

<p>Preprocessed data to reproduce results and figures in &quot;Properties of the lateral mesoscale eddy-induced transport in a high-resolution ocean model: Beyond the flux-gradient relation&quot; (Lu et al., In Review of&nbsp;<em>Journal of Physical Oceanography</em>).&nbsp;</p> <p>Feel free to contact Yueyang Lu via&nbsp;<strong>yxl1496@miami.edu</strong>&nbsp;if you have any questions.</p>

opencc-by-4.0Jul 2022View details →
zenodo36/100

FESOM model data and particle tracking data used in publication 'Cross-shelf transport of Barents Sea dense water as a sink for CO2 in the Arctic Ocean'

<p>FESOM model data and particle tracking data&nbsp;used in the&nbsp;paper &#39;Cross-shelf transport of Barents Sea dense water as a sink&nbsp;for CO2 in the Arctic Ocean&quot; by Andreas Rogge at al.</p> <p>1) FESOM velocity fields averaged over the top 200 m water depth, averaged over the time period 2015-2018.</p> <p>2) FESOM transect at 95&deg;E in the Arctic Ocean (temperature, salinity and velocity), averaged over the time period 2015-2018.</p> <p>3a) Particle back-tracking data&nbsp;based on&nbsp;daily FESOM velocity fields in netcdf format. Particles were released at 95&deg;E every 14 days during the year 2018 and tracked until they reached the surface. Three different constant sinking velocities were used, representative for small and large non-ballasted particles and small ballasted particles.</p> <p>3b) Distribution of particles at the surface for the experiments with three different sinking velocities as mat files.&nbsp;</p>

opencc-by-4.0Sep 2022View details →
zenodo36/100

Data for: Influence of Anomalous Ocean Heat Transport on the Extratropical Atmospheric Circulation in a High-Resolution Slab-Ocean Coupled Model

<p>This dataset, provided in NetCDF format, supports the research presented in the paper titled "Influence of Anomalous Ocean Heat Transport on the Extratropical Atmospheric Circulation in a High-Resolution Slab-Ocean Coupled Model." Please contact Dr. Sun (ltsun@rams.colostate.edu) if you have any questions.</p>

opencc-by-4.0Jun 2024View details →
zenodo36/100

Model outputs for "Multi-grid algorithm for passive tracer transport in NEMO ocean circulation model"

<p>Model outputs used to write &quot;Multi-grid algorithm for passive tracer transport in NEMO ocean circulation model&quot; publication.</p>

opencc-by-4.0Nov 2019View details →
zenodo36/100

The Agulhas Current transports signals of local and remote Indian Ocean nitrogen cycling

<p>All hydrographic and biogeochemical data from&nbsp;the ASCA16, IIEO2, SWINGS and ASCA summer 2018 cruises published in the journal article, &quot;The Agulhas Current transports signals of local and remote Indian Ocean nitrogen cycling&quot; (Marshall, et al., 2023).</p>

opencc-by-4.0Feb 2023View details →
zenodo36/100

Dataset associated with paper "On the contribution of transient diabatic processes to ocean heat transport and temperature variability"

<p><strong>Data repository for Yung &amp; Holmes (2023)&nbsp;</strong><i><strong>On the contribution of transient diabatic processes to ocean heat transport and temperature variability</strong></i><strong>, submitted to Journal of Physical Oceanography</strong></p><p>This repository contains:</p><p>- processed global ocean model data (including all data required to reproduce figures)</p><p>- analysis scripts to create figures (extra analysis and computation scripts are available at&nbsp;https://github.com/claireyung/Eddy_Diathermal_Code)</p><p>- 1D mixing model code (also available at https://github.com/claireyung/Diff1D/tree/Claire_2022)</p><p>Files:&nbsp;</p><p>- Diff1D.zip contains matlab code, figure code and output data</p><p>- DHT-MHT-Paper_Plots.ipynb contains figure code for most paper figures</p><p>- Seasonal_range_SST_SHF_MLD.ipynb contains figure code for Fig. 6</p><p>-&nbsp;10Year-025-Monthly_decomp.ipynb,&nbsp;1Year-025-Daily_decomp.ipynb demonstrate analysis binning process to go from model data to processed data</p><p>Processed data:</p><p>-&nbsp;ocean_grid.nc,&nbsp;output000fwmass_m_copy.nc have grid information</p><p>-&nbsp;ocean_heat_mean.nc,&nbsp;ocean_month_mean.nc,&nbsp;ocean_wmass_mean.nc contain 10 year means of model diagnostics</p><p>- seasonal_climatology_monthly_temp_SF_MX_mld_compress.nc contains monthly climatology used for Fig. 6</p><p>-&nbsp;min_SST_10yr_daily_data.nc and&nbsp;max_SST_10yr_daily_data.nc have the maximum and minimum daily average SST</p><p>-&nbsp;10day_mean_10year_means.nc,&nbsp;2mo_mean_10year_means.nc, sc_2mo_mean_10year_means.nc, 1day_mean_10year_means.nc, Mean_10year_means.nc, True_10year_means.nc are processed and binned data at the various timescales for plotting.</p><p>The model used is the 0.25 degree RYF version of ACCESS-OM2 (Kiss et al. 2020, GMD). The configuration&nbsp;used to run the model can be found&nbsp;here:&nbsp;https://github.com/claireyung/025deg_jra55_ryf/tree/norediGM_run_diaT_exdiags_mixingterms_smallterms . The zenodo repository https://zenodo.org/records/10052149 contains the files needed to run the model.</p><p>Contact: claire.yung@anu.edu.au</p>

opencc-by-4.0Aug 2023View details →
zenodo32/100

Wrong-way migrations of benthic species driven by ocean warming and larval transport: Data

<p>All data used to generate figures, tables, and other results in the publication cited below.&nbsp; All data are derived from publicly available data archives as indicated in the publication&#39;s Data Availability Statement.&nbsp; Archived data may change over time, and results in the paper are only relevant to data as originally downloaded.&nbsp; These condensed data were used in the analyses and are provided to ensure that analyses are replicable.</p> <p>If using any code or data, please cite the following publication:<br> Heidi L. Fuchs, Robert J. Chant, Elias J. Hunter, Enrique N. Curchitser, Gregory P. Gerbi, and Emily A. Chen. 2020. Wrong-way migrations of benthic species driven by ocean warming and larval transport. Nature Climate Change. DOI: 10.1038/s41558-020-0894-x</p> <p>The paper is available at: <a href="https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41558-020-0894-x&amp;data=02%7C01%7Chfuchs%40marine.rutgers.edu%7C8f5bf7d8e5744a5353e408d84e6e924e%7Cb92d2b234d35447093ff69aca6632ffe%7C1%7C0%7C637345584096517620&amp;sdata=Jy%2FD%2FyrfSX6Z0EU1rriqL%2FHnz7KLxpmlqjQmhM6ACAg%3D&amp;reserved=0">https://www.nature.com/articles/s41558-020-0894-x</a></p>

opencc-by-4.0Dec 2019View details →
zenodo32/100

Ocean Meridional Heat Transport Values

<p>This dataset includes data for Figures 2, 4, 6, 10 and 12 of the "Observation-based Estimate of Global and Basin Ocean Meridional Heat Transport Time Series" paper. This paper is published through the Journal of Climate (2019) and by authors, Kevin E. Trenberth, Yongxin Zhang, John T. Fasullo and Lijing Cheng. The data files associated with this dataset provides tabular values and are for general use.</p>

opencc-by-4.0Dec 2018View details →
zenodo32/100

Dataset of 'Development of a total variation diminishing (TVD) Sea ice transport scheme and its application in in an ocean (SCHISM v5.11) and sea ice (Icepack v1.3.4) coupled model on unstructured grids'

<p>As a dataset of the paper "Development of a total variation diminishing (TVD) Sea ice transport scheme and its application in in an ocean (SCHISM v5.11) and sea ice (Icepack v1.3.4) coupled model on unstructured grids" , this dataset includes all configuration files of the idealized case and realistic test on the Arctic Ocean and the source code.</p>

opencc-by-4.0Dec 2023View details →
zenodo32/100

Diurnal regulation of photosynthetic light absorption, electron transport and carbon fixation in two contrasting oceanic environments

<p>Dataset accompanying the publication Schuback N &amp; Tortell PD, Diurnal regulation of photosynthetic light absorption, electron transport and carbon fixation in two contrasting oceanic environments, Biogeosciences, 2019.&nbsp;https://doi.org/10.5194/bg-2018-524.</p>

openodc-byMar 2019View details →
zenodo32/100

Relating North Atlantic Deep Water transport to ocean bottom pressure variations as a target for satellite gravimetry missions

Open the record for dataset details and reuse information.

opencc-by-4.0Oct 2024View details →
zenodo32/100

A multifaceted isoneutral eddy transport diagnostic framework and its application in the Southern Ocean -- datasets

<p>We propose a multifaceted isoneutral eddy transport diagnostic framework and apply it in the Southern Ocean to analyze eddy potential vorticity (PV) transport dynamics. We leverage a thickness-weighted spatiotemporal scale separation to define a generalized form of eddy flux. A local sampling method is employed and validated to estimate the transport tensor. We introduce Leonard&rsquo;s decomposition and stationary-transient decomposition to diagnose the role of multiscale interactions. The non-Reynolds term under Leonard&rsquo;s decomposition and the stationary effect perform prominently in determining the transport property. The Reynolds and transient parts have distinctions, that show oceanic mesoscale dynamics are not synergistic in time and spatial scales. We investigate the spatial scale dependence of each part and find that the transient and stationary components of the Reynolds (non-Reynolds) term have consistent (dissimilar) scale dependence. The scale dependence of the total eddy flux and the transport eigenvalues is controlled by the non-Reynolds term. We further investigate the eigenvalues in terms of the potential enstrophy budget and anisotropy. The potential enstrophy in the Southern Ocean holistically has a forward cascade on the researched scales. The Reynolds and transient effects efficiently promote the forward enstrophy cascade. The non-Reynolds and stationary effects stimulate drastically anisotropic eddy transport. The PV gradient barrier mechanism dominates the drastic anisotropic case. When the anisotropy is weak, a special anisotropic case with a locally balanced potential enstrophy budget overwhelms the case of real isotropy. The results urge future diagnostic works to examine the generalized eddy flux form in a spatiotemporal sense.</p>

opencc-by-4.0Mar 2023View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record