DOI: 10.5061/dryad.qfttdz0q7
title: Atlantic bluefin tuna (Thunnus thynnus) presence and pseudoabsence locations with 13 remotely sensed environmental variables

description: 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).
description: # Dataset for Atlantic bluefin tuna (Thunnus thynnus) presence and
 pseudoabsence locations with 13 remotely sensed environmental variables
 [https://doi.org/10.5061/dryad.qfttdz0q7](https://doi.org/10.5061/dryad.qfttdz0q7) The dataset contains true presence and modelled pseudoabsence location data for Atlantic bluefin tuna (*Thunnus thynnus;* ABFT). At each location data for 13 remotely sensed environmental variables is provided, including: bathymetry (m), rugosity (m), absolute dynamic topography (m) and it’s spatial standard deviation, log surface chlorophyll-a (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 anomaly (m) and it’s standard deviation, sea surface temperature (°C) and it's spatial standard deviation, and log eddy kinetic energy (m2 s-2). ## Description of the data and file structure The data is provided as a .csv file and can easily be read into R. The data may be used to produce further species distribution models. The .csv file has 18 columns: 1. TagID - identification of the individual pop-up satellite archival tag 2. Longitude 3. Latitude 4. Presence - '0' represents modelled psuedoabsence data and '1' represents true presence data 5. Date 6. bathy - Bathymetry (m) 7. bathy_sd - Rugosity (m) 8. adt - Absolute dynamic topography (m) 9. adt_sd - Absolute dynamic topography standard deviation (m) 10. l.chl - Log surface chlorophyll-a (mg m-3) 11. mld - Mixed layer depth (m) 12. PPupper200m - mean primary productivity over the top 200m of the water column (mg m-3) 13. sla - Sea level anomaly (m) 14. sla_sd - Sea level anomaly standard deviation (m) 15. eke - Log eddy kinetic energy (m2 s-2) 16. oxy200m - Mean oxygen over the top 200m of the water column (mmol m-3) 17. sst - Sea surface temperature (°C) 18. sst_sd - Sea surface temperature standard deviation (°C) NAs indicate gaps in the data frame whereby remotely sensed environmental data was unavailable.