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 stan..., , , # 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...

大西洋蓝鳍金枪鱼（*Thunnus thynnus; ABFT）是兼具重要经济价值与保护关注度的核心渔业物种。明晰其分布格局，尤其是气候变化背景下的分布，对于开展高效渔业管理至关重要。本研究整合了2016年至2021年间，在爱尔兰西海岸通过弹出式卫星档案标签（pop-up satellite archival tags）标记的大西洋蓝鳍金枪鱼的4216个真实出现位点数据，以及通过一系列相关随机游走模型模拟得到的392009个伪缺席位点数据。本数据集还包含每个位点的13项遥感环境变量数据，包括：水深（米）、地形粗糙度（米）、绝对动态地形（米）及其空间标准差、对数转换表层叶绿素a（Log mg·m⁻³）、混合层深度（米）、水柱上层200米的平均初级生产力（mg·m⁻³）、水柱上层200米的平均溶解氧（mmol·m⁻³）、海平面高度异常（米）及其标准差、海表温度（°C）及其空间标准差……

# 大西洋蓝鳍金枪鱼（*Thunnus thynnus; ABFT）真实出现位点与伪缺席位点数据集，含13项遥感环境变量数据

[https://doi.org/10.5061/dryad.qfttdz0q7](https://doi.org/10.5061/dryad.qfttdz0q7)

本数据集包含大西洋蓝鳍金枪鱼（*Thunnus thynnus; ABFT）的真实出现位点与模拟伪缺席位点数据，且为每个位点提供13项遥感环境变量数据，包括：水深（米）、地形粗糙度（米）、绝对动态地形（米）及其空间标准差、对数转换表层叶绿素a（mg·m⁻³）、混合层深度（米）、水柱上层200米的平均初级生产力（mg·m⁻³）、水柱上层200米的平均溶解氧（mmol·m⁻³）、海平面异常（米）及其标准差、海表温度（°C）及其空间标准差，以及对数转换涡动动能（m²·s⁻²）。

数据与文件结构说明：本数据以逗号分隔值（.csv）格式存储，可便捷读取……