hotspot_frontal_metrics_trends (v1.0): Jupyter notebooks (Python) used to compute trends of frontal metrics and reproduce figures

This dataset includes the post-processed data and codes used for the paper titled "Global trends of fronts in a warming ocean and impacts on phytoplankton productivity" <strong>datasets.zip</strong> contains all files required for calculating trends of frontal metrics and reproducing all figures in Yang, K. et al. 2023: "Global trends of fronts in a warming ocean and impacts on phytoplankton productivity." The original data was obtained from NASA OB.DAAC (MODIS data), NASA SEDAC (world population data), and IMAS Metadata Catalogue (fishery landings data). A shapefile of global ocean warming hotspots provided by A. Hobday is also included. In the project that generated this data, we: 1) compute trends in frontal activity and chlorophyll in ocean warming hotspots; 2) classify global trends of frontal activity and chlorophyll based on commonality across oceanographic dynamical regions, and 3) explore implications for global fisheries.本数据集包含论文《海洋变暖背景下全球海洋锋面变化趋势及其对浮游植物生产力的影响》（Global trends of fronts in a warming ocean and impacts on phytoplankton productivity）所用的后处理数据与配套代码。datasets.zip 压缩包包含了用于计算锋面指标趋势、复现Yang等人2023年发表的该论文中全部图表所需的全部文件。原始数据取自美国国家航空航天局海洋生物学与大气化学数据存档中心（NASA OB.DAAC）的MODIS数据、美国国家航空航天局社会经济数据应用中心（NASA SEDAC）的世界人口数据，以及澳大利亚海洋与南极研究所元数据目录（IMAS Metadata Catalogue）的渔业上岸量数据。此外还包含由A. Hobday提供的全球海洋变暖热点区域的矢量形状文件（shapefile）。本数据集生成项目开展了以下三项工作：1）计算海洋变暖热点区域内的锋面活动与叶绿素浓度变化趋势；2）基于海洋动力区域的共性特征，对全球锋面活动与叶绿素浓度变化趋势进行分类；3）探讨其对全球渔业的潜在影响。