Hull fouling marine invasive species pose a very low, but plausible, risk of introduction to East Antarctica in climate change scenarios

This dataset includes the data used for the XGBoost model building (tab 2) from the manuscript Holland, Oakes, Shaw, Justine, Stark, Jonathan S., & Wilson, Kerrie A. (2021) Hull fouling marine invasive species pose a very low, but plausible, risk of introduction to East Antarctica in climate change scenarios. Diversity and Distributions, 27(6), pp. 973-988. https://eprints.qut.edu.au/209781/.

It also includes the data used to make predictions about the ability of marine invasive species to survive in shallow coastal ecosystems adjacent to Australia's Antarctic research stations and Australia's subantarctic islands over different time periods (tabs 3 - 9). The final tab (tab 10) is the count of how many ports each species was matched with.

There are two aggregations of variables: an annual aggregation and a seasonal aggregation. The annual aggregation is the minimum, average, and maximum for each year averaged over the time periods specified below. The seasonal aggregation is the minimum, average, and maximum for each season (Summer, Autumn, Winter, Spring) for each year averaged over the time periods specified below. The seasons for future climate at the Antarctic and subantarctic sites are based on Southern Hemisphere seasons.

本数据集涵盖了用于构建XGBoost模型的原始数据（第2页），源自于Holland, Oakes, Shaw, Justine, Stark, Jonathan S.，以及Wilson, Kerrie A.（2021）所著的论文《气候变化情景下，海洋生物入侵物种对东南极洲引入的潜在风险极低但可能性存在》。该论文发表于《Diversity and Distributions》杂志第27卷第6期，页码973-988。相关链接：https://eprints.qut.edu.au/209781/。此外，数据集还包括用于预测不同时间段内海洋入侵物种在澳大利亚南极研究站附近浅海生态系统以及澳大利亚亚南极岛屿存活能力的预测数据（第3页至第9页）。最后一张表格（第10页）记录了每种物种匹配的港口数量。数据集变量分为两种聚合方式：年度聚合和季节性聚合。年度聚合包括每年在指定时间段内的最小值、平均值和最大值。季节性聚合则是每年夏季、秋季、冬季和春季的最小值、平均值和最大值，在指定时间段内进行平均。南极和亚南极地区未来气候的季节划分基于南半球的季节。