Data and code for: "A data-driven assessment of the global community structure of pelagic zooplankton biomass"

The archive is organized into three main components: PREDICTORS/: scripts and outputs used to build environmental predictor principal components (PCA) from gridded climatologies. OBS/: observational biomass datasets and preprocessing scripts used to curate, harmonize, and filter net-based zooplankton observations. ANALYSIS/: notebooks and outputs used to generate biomass climatologies, summary metrics, manuscript figures, and tables. Together, these materials document the workflow used to produce global epipelagic and mesopelagic biomass climatologies for ten zooplankton functional types and to analyze their regional, seasonal, and diversity-related patterns. See the README.md for more information.本数据集归档文件分为三大核心模块： `PREDICTORS/`：用于从网格化气候态数据构建环境预测因子主成分分析（Principal Components Analysis, PCA）的脚本与对应输出结果。 `OBS/`：包含观测生物量数据集与预处理脚本，用于整理、统一校准并过滤基于网采的浮游动物观测数据。 `ANALYSIS/`：用于生成生物量气候态数据、汇总统计指标、论文图表与表格的脚本笔记（notebooks）及输出结果。 上述所有材料完整记录了为10种浮游动物功能型构建全球上层与中层海洋生物量气候态，并分析其区域分布、季节变化及与多样性相关分布模式的完整工作流程。 详细信息请参阅README.md文件。