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Tropical cyclone wind exposure in the United States from 1900-2016 (NCEI Acce...
The gridded data represent modeled, historical exposure of U.S. offshore, coastal, and international waters to tropical cyclone activity within the North Atlantic and Pacific... -
Alcyonacea Holaxonia Plexauridae
The data represent predicted habitat suitability for several taxa of deep-sea corals. Predictions were modeled using a statistical machine-learning algorithm called maximum... -
Scleractinia Caryophylliidae
The data represent predicted habitat suitability for several taxa of deep-sea corals. Predictions were modeled using a statistical machine-learning algorithm called maximum... -
Alcyonacea Holaxonia
The data represent predicted habitat suitability for several taxa of deep-sea corals. Predictions were modeled using a statistical machine-learning algorithm called maximum... -
Human Uses of the Ocean
These data reflect the number of overlapping dominant use areas for all uses combined. The data show ocean use patterns for separate uses of ocean areas in New England, the West... -
Non-Framing Scleractinia
The data represent predicted habitat suitability for several taxa of deep-sea corals. Predictions were modeled using a statistical machine-learning algorithm called maximum... -
Scleractinia Oculinidae Madrepora
The data represent predicted habitat suitability for several taxa of deep-sea corals. Predictions were modeled using a statistical machine-learning algorithm called maximum... -
Alcyonacea Holaxonia Plexauridae Hypnogorgia
The data represent predicted habitat suitability for several taxa of deep-sea corals. Predictions were modeled using a statistical machine-learning algorithm called maximum... -
Pennatulacea Sessiliflorae
The data represent predicted habitat suitability for several taxa of deep-sea corals. Predictions were modeled using a statistical machine-learning algorithm called maximum... -
Anthoathecata Filifera Stylasteridae
The data represent predicted habitat suitability for several taxa of deep-sea corals. Predictions were modeled using a statistical machine-learning algorithm called maximum... -
Alcyonacea Holaxonia Plexauridae Hypnogorgia
The data represent predicted habitat suitability for several taxa of deep-sea corals. Predictions were modeled using a statistical machine-learning algorithm called maximum... -
Gorgonian Alcyonacea
The data represent predicted habitat suitability for several taxa of deep-sea corals. Predictions were modeled using a statistical machine-learning algorithm called maximum... -
Scleractinia Astrocoeniidae Madracis
The data represent predicted habitat suitability for several taxa of deep-sea corals. Predictions were modeled using a statistical machine-learning algorithm called maximum... -
Alcyonacea Holaxonia Gorgoniidae
The data represent predicted habitat suitability for several taxa of deep-sea corals. Predictions were modeled using a statistical machine-learning algorithm called maximum... -
MAPPING Human Uses of the Ocean
Understanding human uses of the ocean is essential to successful marine planning, but spatial information on ocean uses is often scarce and difficult to capture consistently... -
Alcyonacea Holaxonia Plexauridae Paramuriceidae
The data represent predicted habitat suitability for several taxa of deep-sea corals. Predictions were modeled using a statistical machine-learning algorithm called maximum... -
Scleractinia Oculinidae Oculina
The data represent predicted habitat suitability for several taxa of deep-sea corals. Predictions were modeled using a statistical machine-learning algorithm called maximum... -
Scleractinia Flabellidae
The data represent predicted habitat suitability for several taxa of deep-sea corals. Predictions were modeled using a statistical machine-learning algorithm called maximum... -
Ocean Sediment Thickness Contours
Ocean sediment thickness contours in 200 meter intervals for water depths ranging from 0 - 18,000 meters. These contours were derived from a global sediment thickness grid... -
Alcyonacea Calcaxonia Isididae
The data represent predicted habitat suitability for several taxa of deep-sea corals. Predictions were modeled using a statistical machine-learning algorithm called maximum...
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