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Dataset results
5 results for “Satellite altimeter”
SDUST2020MGCR: a global marine gravity change rate model determined from multi-satellite altimeter data
<p>SDUST2020MGCR.nc is the global marine gravity change rate model covering 70°S~70°N and 0°~360°E on 5′×5′ grids. The dataset contains geospatial information (latitude, longitude), SDUST2020MGCR and an attachment data (GIA MGCR).</p>
SDUST2021GRA: Global marine gravity anomaly model recovered from Ka-band and Ku-band satellite altimeter data
<p>SDUST2021GRA is the global marine gravity anomaly model on a grid of 1′×1′, which is established from the altimeter data of <strong> </strong>Ka-band and Ku-band altimetry satellite including HY-2A. Its spatial coverage is 80°S-80°N. Assessed by the shipborne gravity data, the accuracy of SDUST2021GRA in the global is 2.37 mGal, and that in the open ocean is about 1.5 mGal.</p>
Data for: Ensemble-based data assimilation of significant wave height from Sofar Spotters and satellite altimeters with a global operational wave model
<p>An ensemble-based method for wave data assimilation is implemented using significant wave height observations from the globally distributed network of Sofar Spotter buoys and satellite altimeters. The Local Ensemble Transform Kalman Filter (LETKF) method generates skillful analysis fields resulting in reduced forecast errors out to 2.5 days when used as initial conditions in a cycled wave data assimilation system. The LETKF method provides more physically realistic model state updates that better reflect the underlying sea state dynamics and uncertainty compared to methods such as optimal interpolation. Skill assessment far from any included observations and inspection of specific storm events highlights the advantages of LETKF over an optimal interpolation method for data assimilation. This advancement has immediate value in improving predictions of the sea state and, more broadly, enabling future coupled data assimilation and utilization of global surface observations across domains (atmosphere-wave-ocean).</p>
Data for: Ensemble-based data assimilation of significant wave height from Sofar Spotters and satellite altimeters with a global operational wave model
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The Atlantic meridional overturning circulation at 35N from deep moorings, floats, and satellite altimeter
<p>These are the data that accompany the publication "The Atlantic meridional overturning circulation at 35N from deep moorings, floats, and satellite altimeter" by Le Bras, Willis, and Fenty.</p> <p>The netcdf file AMOC35.nc includes the final Atlantic meridional overturning circulation (AMOC) transports presented in the manuscript. It includes "AMOCdepth": the AMOC transport in depth space; "AMOCsigma": the AMOC transport in density space (specifically potential density referenced to 2000m); "psi": the integrated across-basin transport streamfunction in depth space; and "Ekman": is the Ekman transport time series derived from CCMP as described in the manuscript. Note that the Ekman transport is included in the total AMOC transport; we provide it here so that it can be easily removed. All variables in AMOC35.nc have units of Sverdrups (Sv).</p> <p>The netcdf file AMOC35_gridded_velocities.nc is significantly larger. It includes "vg" (in m/s): the geostrophic velocity through the section; "sigma2" (in kg/m<sup>3</sup>): the potential density anomaly referenced to 2000m; "bathymetry" (in m): the depth of the sea floor along the section; and "area" (in m<sup>2</sup>): the area of each grid point. Note that no total transport correction has been applied to this geostrophic velocity; the AMOC transport cannot be extracted directly from it. This velocity and the auxiliary fields are provided for those who wish to reproduce and test our results.</p> <p>Both files were saved as structured python xarray Datasets with labeled coordinates (https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html). In AMOC35.nc, the coordinates are "date" (in python datetime format) and "depth" (in m). The alternatives "time" (in decimal years) and "pressure" (in db) are also available. AMOC35_gridded_velocities.nc additionally includes the coordinate "distance" (in km) with longitude ("lon") and latitude ("lat"), also available.</p>
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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.