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The GEBCO_2019 Grid is a global grid of elevation data at 15 arc-second intervals. This layer displays the GEBCO_2019 Grid as a shaded relief image showing the shape of the global seafloor. The imagery extends from -180 to 360 in longitude. Please note that the GEBCO_2019, is also available as 2D, flat image in layer GEBCO_2019_Grid_2.

Questionnaire

Questionnaire

Questionnaire

Technical document

Technical document

For macbook users, please download from: https://tabula.technology/

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Zipped file containing GeoJSON files for earthquake centers over a magnitude of 4.5 for the Pacific Islands Region for years 2000-2019. Data are derived from the ANSS Comprehensive Earthquake Catalog (ComCat). ComCat contains earthquake source parameters (e.g. hypocenters, magnitudes, phase picks and amplitudes) and other products (e.g. moment tensor solutions, macroseismic information, tectonic summaries, maps) produced by contributing seismic networks.

Zip file containing NetCDF files for both zonal and meridional current velocities (meters/second) for 5 day temporal resolution for the years 2000-2019 in the WGS84 coordinate system (EPSG:4326).

This dataset contains rasters and a metadata file for global mean monthly sea surface temperature (°C) from 2010-2019. Rasters are in WGS84 coordinate system (EPSG 4326). Sea surface temperature is the temperature of the top millimeter of the ocean's surface. Sea surface temperatures influence weather, including hurricanes, as well as plant and animal life in the ocean. Like Earth's land surface, sea surface temperatures are warmer near the equator and colder near the poles. Currents like giant rivers move warm and cold water around the world's oceans.

This dataset contains rasters and a metadata file for global mean monthly ocean chlorophyll concentration (mg/m3) from 2010-2019. Rasters are in WGS84 coordinate system (EPSG 4326) . Chlorophyll-a is the light-harvesting pigment found in all photosynthetic plants. Its concentration in the ocean is used as an index of phytoplankton biomass and, as such, is a key input to primary productivity models.

This resource is a zip file containing the aggregated catch data (.csv) for the American Samoa Exclusive Economic Zone, relevant literature, and methods/metadata for the tabular catch data.