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234
datasets available to search
ShareScore release 0.9.0
Dataset results
234 results for “global ocean”
AMSR-E/Aqua Weekly L3 Global Ascending/Descending .25x.25 deg Ocean Grids V002
The Level-3 daily product (AE_DyOcn), weekly product (AE_WkOcn), and monthly product (AE_MoOcn) include SST, near-surface wind speed, columnar water vapor, and columnar cloud liquid water over oceans in a 0.25 degree by 0.25 degree grid, generated from AE_Ocean.
AMSR-E/Aqua L2B Global Swath Ocean Products derived from Wentz Algorithm V002
This daily Level-2B swath data set includes Sea Surface Temperature (SST), Near-Surface Wind Speed, Columnar Water Vapor, and Cloud liquid Water data arrays, and was used as input to generate the following daily, weekly, and monthly Level-3 gridded ocean products; AE_DyOcn, AE_WkOcn, and AE_MoOcn.
Joint Global Ocean Flux Study (JGOFS) Arabian Sea measurements
Joint Global Ocean Flux Study (JGOFS) Arabian Sea measurements from 1994 and 1995.
AMSR-E/Aqua Monthly L3 Global Ascending/Descending .25x.25 deg Ocean Grids V002
The Level-3 daily product (AE_DyOcn), weekly product (AE_WkOcn), and monthly product (AE_MoOcn) include SST, near-surface wind speed, columnar water vapor, and columnar cloud liquid water over oceans in a 0.25 degree by 0.25 degree grid, generated from AE_Ocean.
AMSR-E/AMSR2 Unified L3 Global Daily Ascending/Descending .25x.25 deg Ocean Grids V001
The AMSR-E/AMSR2 Unified L3 Global Daily Ascending/Descending .25 x .25 deg Ocean Grids data set (AU_DyOcn) reports daily estimates of water vapor, cloud liquid water content, and surface wind speed over the ocean on a global 0.25° × 0.25° resolution grid. The data are derived from the AMSR-E/AMSR2 Unified L2B Global Swath Ocean Products, Version 1 data set. Sea surface temperatures from the NOAA 1/4° Daily Optimum Interpolation Sea Surface Temperature (OISST) product are also included.
AMSR-E/AMSR2 Unified L3 Global Weekly Ascending/Descending .25x.25 deg Ocean Grids V001
The AMSR-E/AMSR2 Unified L3 Global Weekly Ascending/Descending .25 x .25 deg Ocean Grids data set (AU_WkOcn) reports weekly estimates of water vapor, cloud liquid water content, and surface wind speed over the ocean on a global 0.25° × 0.25° resolution grid. The data are derived from the AMSR-E/AMSR2 Unified L2B Global Swath Ocean Products, Version 1 data set. Sea surface temperatures from the NOAA 1/4° Daily Optimum Interpolation Sea Surface Temperature (OISST) product are also included.
AMSR-E/AMSR2 Unified L3 Global Daily Ascending/Descending .25x.25 deg Ocean Grids V001
The AMSR-E/AMSR2 Unified L3 Global Daily Ascending/Descending .25 x .25 deg Ocean Grids data set (AU_DyOcn) reports daily estimates of water vapor, cloud liquid water content, and surface wind speed over the ocean on a global 0.25° × 0.25° resolution grid. The data are derived from the AMSR-E/AMSR2 Unified L2B Global Swath Ocean Products, Version 1 data set. Sea surface temperatures from the NOAA 1/4° Daily Optimum Interpolation Sea Surface Temperature (OISST) product are also included.
AMSR-E/AMSR2 Unified L2B Global Swath Ocean Products V001
This AMSR Unified global ocean data set reports integrated water vapor and cloud liquid water content in the atmospheric column, plus 10-meter sea surface wind speeds. The data are derived from AMSR-E and AMSR2 brightness temperature observations that have been resampled by the Japan Aerospace Exploration Agency (JAXA) to facilitate an intercalibrated (i.e., “unified”) AMSR-E/AMSR2 data record. Ancillary files, including product history, quality assessment (QA), and file-specific metadata are also available.
AMSR-E/Aqua Monthly L3 Global Ascending/Descending .25x.25 deg Ocean Grids V002
The Level-3 daily product (AE_DyOcn), weekly product (AE_WkOcn), and monthly product (AE_MoOcn) include SST, near-surface wind speed, columnar water vapor, and columnar cloud liquid water over oceans in a 0.25 degree by 0.25 degree grid, generated from AE_Ocean.
AMSR-E/Aqua L2B Global Swath Ocean Products derived from Wentz Algorithm V002
This daily Level-2B swath data set includes Sea Surface Temperature (SST), Near-Surface Wind Speed, Columnar Water Vapor, and Cloud liquid Water data arrays, and was used as input to generate the following daily, weekly, and monthly Level-3 gridded ocean products; AE_DyOcn, AE_WkOcn, and AE_MoOcn.
AMSR-E/Aqua Daily L3 Global Ascending/Descending .25x.25 deg Ocean Grids V002
The Level-3 daily product (AE_DyOcn), weekly product (AE_WkOcn), and monthly product (AE_MoOcn) include SST, near-surface wind speed, columnar water vapor, and columnar cloud liquid water over oceans in a 0.25 degree by 0.25 degree grid, generated from AE_Ocean.
Re-aware Global Ocean Deoxygenation During the Past 140 Years
<p>The intensifying global ocean deoxygenation has significant impacts on the oceanic ecological equilibrium. Gaps persist in understanding the dynamic evolution of global ocean oxygen throughout the 20th century due to the spatiotemporal sparsity of measurements and systematic biases within Earth system models. Here, we propose a novel spatiotemporal embedded artificial intelligence model that integrates diverse ocean datasets to construct a high-precision, monthly-resolved global ocean oxygen dataset spanning the past 140 years. Our quantitative analyses revealed a decline in global ocean oxygen content from 234.5 ± 0.4 Pmol in 1871 to 230.6 ± 0.4 Pmol in 2010, with a sharp drop of −1402.2 ± 173.6 Tmol per decade post-1980, attributing 98.5% of total oxygen loss in the past three decades alone. Our investigation further underscored that the critical temperature at the sea surface beyond which ocean oxygen begins to rapidly decrease is approximately 18°C. Forward-looking projections underlined the potential for a decline exceeding 10% in global ocean oxygen content relative to pre-1900 levels, under uncontrolled anthropogenic carbon dioxide emissions by the end of the 21st century. These findings provide a comprehensive understanding of historical dynamics and future trajectories in global ocean oxygen, as well as a deeper knowledge of ocean deoxygenation and its underlying mechanisms.</p>
Reconstructing the global oceanic copper isotope budget: The critical role of deep-sea pelagic sediments
<p>Supplementary information present figure and table.</p> <p>Supplementary Table present geochmical data of deep-sea sediments from the Indian and Pacific.</p>
Weakly coupled atmospheric-ocean data assimilation in the Canadian global prediction system. (v1)
<p>Code and data for GMD reviewers</p>
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International Brain Laboratory public data
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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.