Table 1 Summary information for all predictors used for modeling cetacean abundance and distribution. The processing column indicates how were the data manipulated after extraction from sources.

From: Abundance and distribution patterns of cetaceans and their overlap with vessel traffic in the Humboldt Current Ecosystem, Chile

Variable

Abbreviation

Units

Spatial resolution

Temporal resolution

Processing

Source

Logarithm of Chlorophyll-a concentration

LOGCHL

mgC m-3

4.64 km × 4.64 km

Monthly

3-Month average

Level 3 Aqua MODIS. ERDAP Data set ID: erdMH1chlamday

Logarithm of Chlorophyll-a concentration Long-term

CHLLT

mgC m-3

4.64 km × 4.64 km

Static

5-Year average

Based on the above logarithm of Chlorophyll-a concentration data

Sea surface temperature

SST

°C

1 km × 1 km

Daily

None

Level 4 multi-scale

Ultra-high

Resolution. ERDAP Dataset ID: jplMURSST41

Sea surface temperature Long-term

SSTLT

°C

2 km × 1 km

Static

5-Year average

Based on the above sea surface temperature data

Sea surface temperature anomaly

SSTA

°C

0.01° × 0.01°

Daily

None

Level 4 multi-scale

Ultra-high

Resolution. ERDDAP Dataset ID: jplMURSST41anom1day

Thermal gradient

TG

°C

10 km × 10 km

Daily

Calculated using the R package "grec"46 and rescaled to 10 km resolution

Based on the above sea surface temperature data

Depth

DEPTH

Meters

0.01666667° × 0.01666667°

Static

None

ETOPO1 1 arc-minute global relief model of Earth's surface. ERDDAP Data set ID: etopo360

Slope

SLO

Radians

0.01666667° × 0.01666667°

Static

Calculated using the R package raster48

Based on the above depth data

Julian day

JD

   

None