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111 results for “Ocean productivity”
Global oceanic seamless POC concentration products derived from MODIS-Aqua and Terra
<p>The dataset integrates seamless POC concentration daily products for the global ocean, derived from MODIS-Aqua and Terra XGBoost satellite retrieval products. It covers the time span from 2017 to 2020. The POC concentration in the product used int32 to integer data, specifically, the raw POC concentration (mg m-3) is first multiplied by 10000 and then rounded using int32.</p>
Global oceanic seamless POC concentration products derived from MODIS-Terra
<p>The dataset integrates seamless POC concentration daily products for the global ocean from 2009 to 2016, derived from MODIS-Terra‘s XGBoost satellite retrieval products. The POC concentration in the product used int32 to integer data, specifically, the raw POC concentration (mg m-3) is first multiplied by 10000 and then rounded using int32.</p>
Global oceanic seamless POC concentration products derived from MODIS-Aqua and Terra
<p>The dataset integrates seamless POC concentration daily products for the global ocean from 2021 to 2022 with a 9-km resolution, derived from MODIS-Aqua and Terra XGBoost satellite retrieval products. The POC concentration in the product used int32 to integer data, specifically, the raw POC concentration (mg m-3) is first *10000 and then rounded using int32.</p>
Global oceanic seamless POC concentration monthly products derived from MODIS-Aqua and Terra
<p>The dataset integrates seamless POC concentration daily products with a 9-km resolution for the global ocean from 2003 to 2022, derived from MODIS-Aqua and Terra XGBoost satellite retrieval products. The POC concentration in the product used int32 to integer data, specifically, the raw POC concentration (mg m-3) is first *10000 and then rounded using int32.</p>
Zonal mean of primary production and carbon export in the Southern Ocean (Huang and Fassbender, 2023, Geophysical Research Letters)
<p>This dataset contains zonal means of primary production, export potential of distinct biogenic carbon pools, particle sinking flux, and particle export efficiency in the Southern Ocean. See more details in the relevant publication of Huang and Fassbender (2023, Geophysical Research Letters).</p> <p> </p>
Augmented Net Primary Production in Arctic Ocean Sustained by Increased Subarctic Inflow Water
<p>Developing an optical classification-based chlorophyll (Chla) retrieval algorithm for the Arctic Ocean by matching in situ and remote sensing data. The statistical relationship between mixed layer depth integrated primary productivity (NPP) and sea surface Chla was also regressed from a large field measurement data set. Through principal component analysis and correlation analysis, NPP environmental driving factors were analyzed. Data sets include remote sensing reflectance data used to invert NPP and environmental drivers of NPP changes.</p>
Comparison of primary production between different models and measurements in the Indian Ocean
<p>This data set contains the various cruises data of Chlorophyll, Primary Production, photic zone integrated chlorophyll and normalized chlorophyll in the Indian Ocean.</p> <p> </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>
A Reconstructed Coastal Acidification Database (ReCAD) pCO2 data product for the North American Atlantic Coastal Ocean Margins
<h1><strong>Reconstructed Coastal Acidification Database (ReCAD)</strong></h1> <p>Insufficient spatiotemporal coverage of the partial pressure of CO<sub>2</sub> (<em>p</em>CO<sub>2</sub>) observations has hindered precise carbon cycle studies in coastal oceans and justifies the development of spatially and temporally continuous <em>p</em>CO<sub>2</sub> data products. Earlier <em>p</em>CO<sub>2</sub> products have difficulties in capturing the heterogeneity of regional variations and decadal trends of <em>p</em>CO<sub>2</sub> in the North American Atlantic Coastal Ocean Margin (NAACOM). This study developed a regional reconstructed <em>p</em>CO<sub>2</sub> product for the NAACOM (Reconstructed Coastal Acidification Database-<em>p</em>CO<sub>2</sub>, or ReCAD-NAACOM-<em>p</em>CO<sub>2</sub>) using a two-step approach combining random forest regression and linear regression. The product provides monthly <em>p</em>CO<sub>2</sub> data at 0.25° spatial resolution from 1993 to 2021, enabling investigation of regional spatial differences, seasonal cycles, and decadal changes in <em>p</em>CO<sub>2</sub>. The observation-based reconstruction was trained using Surface Ocean CO<sub>2</sub> Atlas (SOCAT) observations as observational values, with various satellite-derived and reanalysis environmental variables known to control sea surface <em>p</em>CO<sub>2</sub> as model inputs. The product shows high accuracy during the model training, validation, and independent test phases, demonstrating robustness and capability to accurately reconstruct <em>p</em>CO<sub>2</sub> in regions or periods lacking direct observational data. Compared with all the observation samples from SOCAT, the <em>p</em>CO<sub>2</sub> product yields a determination coefficient of 0.92, a root-mean-square error of 12.70 µatm, and an accumulative uncertainty of 23.25 µatm. The ReCAD-NAACOM-<em>p</em>CO<sub>2</sub> product demonstrates its capability to resolve seasonal cycles, regional-scale variations, and decadal trends of <em>p</em>CO<sub>2</sub> along the NAACOM. This new product provides reliable <em>p</em>CO<sub>2</sub> data for more precise studies of coastal carbon dynamics in the NAACOM region. The dataset is publicly accessible at <a href="https://doi.org/10.5281/zenodo.11500974">https://doi.org/10.5281/zenodo.11500974</a> (Wu et al., 2024a) and will be updated regularly.</p> <div> <div> </div> </div> <p><strong>Version 1.1: </strong>Update the training set output as the direct model outputs instead of being the 10-fold cross-validation output in v1.0.</p> <p><strong>Data description paper</strong><em><strong>: </strong></em>Wu, Z., Lu, W., Roobaert, A., Song, L., Yan, X.-H., and Cai, W.-J.: A machine-learning reconstruction of sea surface <em>p</em>CO<sub>2</sub> in the North American Atlantic Coastal Ocean Margin from 1993 to 2021, Earth Syst. Sci. Data, 17, 43–63, <a href="https://doi.org/10.5194/essd-17-43-2025">https://doi.org/10.5194/essd-17-43-2025</a>, 2025.</p>
Supplementary data products for Ha et al. 'Assessing the biogeography of marine giant viruses in four oceanic transects'.
<p>Processed data products for Ha et al., "<strong>Assessing the biogeography of marine giant viruses in four oceanic transects</strong>".</p>
Dataset for Wan et al. 2023_N2O production in the coastal ocean
<p>Dataset for Wan et al. 2023_N2O production in the coastal ocean</p>
Data from: Seabird diversity hotspot linked to ocean productivity in the Canary Current Large Marine Ecosystem
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Data from: Effects of sea ice cover on satellite-detected primary production in the Arctic Ocean
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Data from: Defining isoscapes in the Northeast Pacific as an index of ocean productivity
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Latitude and longitude grids for global oceanic seamless POC concentration products
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Global oceanic PON concentration products derived from Aqua-MODIS through a Gaussian Process Regression model
<p><span>This dataset integrates the monthly PON concentration products from 2002 to 2022 of the global ocean, which were derived from Aqua-MODIS based on our newly developed Gaussian Process Regression models.</span></p>
Data from: Silent oceans: ocean acidification impoverishes natural soundscapes by altering sound production of the world’s noisiest marine invertebrate
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RSS SSM/I OCEAN PRODUCT GRIDS 3-DAY AVERAGE FROM DMSP F11 NETCDF V7
The RSS SSM/I Ocean Product Grids 3-Day Average from DMSP F11 netCDF dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program. Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed, water vapor, cloud water, and rain rate. The SSMIS data have been carefully intercalibrated to the brightness temperature level of the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values. This algorithm is a product of 20 years of refinements, improvements, and verifications. The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite. The netCDF SSMI/SSMIS collection will be available for F11 for 3-day averages.
RSS SSM/I OCEAN PRODUCT GRIDS WEEKLY AVERAGE FROM DMSP F8 NETCDF V7
The RSS SSM/I Ocean Products Grid Weekly Average from DMSP F8 netCDF dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program. Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed, water vapor, cloud water, and rain rate. The SSMIS data have been carefully intercalibrated to the brightness temperature level of the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values. This algorithm is a product of 20 years of refinements, improvements, and verifications. The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite. The netCDF SSMI/SSMIS collection will be available for F8 forweekly average.
RSS SSM/I OCEAN PRODUCT GRIDS 3-DAY AVERAGE FROM DMSP F14 NETCDF V7
The RSS SSM/I Ocean Product Grids 3-Day Average from DMSP F14 netCDF dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program. Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed, water vapor, cloud water, and rain rate. The SSMIS data have been carefully intercalibrated to the brightness temperature level of the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values. This algorithm is a product of 20 years of refinements, improvements, and verifications. The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite. The netCDF SSMI/SSMIS collection will be available for F14 for a 3-day average.
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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.
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.