8 Mediterranean Pelagic Commercial Fish Species for Distribution Modelling

The objective is to create a species distribution model to predict the species probability in each longitude, latitude pair.
The fish species Engraulis encrasicolus (729 samples), Sardina pilchardus (596 samples), Sardinella aurita (720 samples), Scomber colias (676 samples), Scomber scombrus (807 samples), Spicara smaris (1225 samples), Thunnus thynnus (1237 samples) and Xiphias gladius (1230 samples) are included.
The target for prediction is the overall probability of occurrence.

There are 6830 predictors created from 15 environmental variables: temperature, salinity, dissolved oxygen, meridional current, zonal current, chlorophyll, euphotic depth, secchi disk depth, wave height, nitrate, phosphate, distance to coast, distance to major river, bathymetry, and substrate.

本数据集旨在构建一个物种分布模型，以预测在每一经纬度对中的物种概率。其中包含鱼类物种 Engraulis encrasicolus（样本729个）、Sardina pilchardus（样本596个）、Sardinella aurita（样本720个）、Scomber colias（样本676个）、Scomber scombrus（样本807个）、Spicara smaris（样本1225个）、Thunnus thynnus（样本1237个）和 Xiphias gladius（样本1230个）。预测目标为物种出现的总体概率。数据集共包含由15个环境变量生成的6830个预测因子，包括温度、盐度、溶解氧、经向流、纬向流、叶绿素、光合深度、塞奇盘深度、波高、硝酸盐、磷酸盐、海岸距离、主要河流距离、水深和底质。