Atlantic bluefin tuna (Thunnus thynnus) presence and pseudoabsence locations with 13 remotely sensed environmental variables

Atlantic bluefin tuna (Thunnus thynnus; ABFT) are a highly important
fisheries species of economic and conservation concern. Understanding
their distributions, particularly under climate change is imperative for
effective management. Here we assemble a dataset of 4,216 true presence
locations for ABFT tagged with pop-up satellite archival tags off the west
coast of Ireland between 2016-2021 and 392,009 pseudoabsence locations
simulated by a series of correlated random walk modelling. The dataset
also contains remotely sensed data at each location for 13 environmental
variables including: bathymetry (m), rugosity (m), absolute dynamic
topography (m) and it’s spatial standard deviation, log surface
chlorophyll-a (Log mg m-3), mixed layer depth (m), mean primary
productivity over the top 200m of the water column (mg m-3), mean oxygen
over the top 200m of the water column (mmol m-3), sea level height anomaly
(m) and it’s standard deviation, sea surface temperature (°C) and
it's spatial standard deviation, and log eddy kinetic energy (Log m2
s-2).