Datasets: Physical limits of sea-level rise adaptation in global river deltas

This Figshare repository includes two main datasets from the manuscript "Physical limits of sea-level rise adaptation in global river deltas" by Lasch et al. SuppData1: Deltas Physical Characteristics SuppData1 includes the physical characteristics for each of the 769 study deltas, with rows defined by unique BasinID2 identifiers. Variables include polygon area, projected sea-level rise, vertical land motion, river and sediment discharge, bathymetric slope, etc. sourced from existing global datasets. The dataset origins can be found in the manuscripts Supplementary Text (Section 3) and the code to run the geometric model using this dataset can be found in this manuscripts supporting CodeOcean capsule. SuppData2: Mapped Physical Solution Spaces of Global Deltas SuppData2 provides model outputs representing the physical solution space of adaptation per delta. We assess the physical feasibility of one or two measures for 5 adaptation strategies (advance, protect-closed, protect-open, accommodate and retreat) under three different thresholds which represent a different scale of the measure. Specifically, (1) is the current known/ commonly used scales of measures around the world, (2) is a low-resource version of the current known measures, and (3) is an innovative version of the current known measure. The output is encoded as binary matrices (1 = physically feasible; 0 = infeasible) for each scale of each adaptation strategy. The code to generate the main manuscript figures is included in the model capsule (available through CodeOcean).本Figshare存储库包含Lasch等人发表的论文《全球河流三角洲海平面上升适应的物理极限》中的两个主要数据集。 补充数据集1：三角洲物理特征 该数据集涵盖769个研究三角洲的各项物理特征，以唯一的BasinID2标识符作为行标识。所包含的变量均源自现有全球数据集，具体包括多边形面积、预估海平面上升、垂直陆地运动、河流与沉积物径流量、水深坡度等。该数据集的来源可参见论文补充文本第3节，使用该数据集运行几何模型的代码可在本文配套的CodeOcean胶囊中获取。 补充数据集2：全球三角洲映射物理解决方案空间 该数据集提供了表征各三角洲适应措施物理解决方案空间的模型输出结果。研究针对推进、封闭防护、开放防护、顺应和后撤共5种适应策略，在代表不同措施规模的三类阈值下，评估了1种或2种措施的物理可行性。具体而言，阈值(1)为当前全球范围内已知且常用的措施规模，阈值(2)为当前已知措施的低资源版本，阈值(3)为当前已知措施的创新版本。输出结果以二进制矩阵形式编码（1代表物理可行，0代表不可行），对应每种适应策略的每种规模阈值。生成论文主图的代码包含在该模型胶囊中（可通过CodeOcean获取）。