Table 1 Covariate information collected by underwater autonomous gliders (dataset \(\mathscr{D}^g\)) and co-located satellite imagery (dataset \(\mathscr{D}^s\).).

From: Machine learning for modeling North Atlantic right whale presence to support offshore wind energy development in the U.S. Mid-Atlantic

Data Source

Variable

Description

Glider, \(\mathscr{D}^g\)

Temperature (°C)

Water temperature

Salinity (psu)

Total concentration of dissolved salts

Oxygen Concentration (umol/L)

Amount of dissolved oxygen in the water

Depth (m)

Vertical distance from sea surface to glider’s position

Satellite, \(\mathscr{D}^s\)

Frontal Value

Gradient strengths across water mass classifications as defined in Oliver and Irwin22

Water Mass

A classification of the water column based on sea surface temperature and other hydrographic properties

Sea Surface Temperature (°C)

Temperature of the ocean’s surface layer

Chlorophyll (\(mg/m^3\))

Concentration of the phytoplankton pigment, chlorophyll-a

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