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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... -
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... -
Predictive Models for In Vitro Toxicokinetic Parameters to Inform...
The data used in this analysis was obtained from published literature and available through the high-throughput toxicokinetic (HTTK) R package. The dataset consists of 1486... -
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... -
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... -
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... -
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... -
Alcyonacea Calcaxonia Primnoidae Callogorgia
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...