Comprehensive network hydraulic scaling datasets and associated resources (discharge, channel length surveys, watershed metadata, blueline network shapefiles and reference images)

Wetted channel networks expand and contract throughout the year. Direct observation of this process can be made by multiple intensive surveys of a catchment throughout the year. Godsey et al. (2014) suggest that the extent of the wetted channel network scales with discharge at the outlet by a power law (L = αQ^β). Using this relationship, we developed a framework to assess variability in the extent of wetted channels as a function of β and the variability in streamflow Q (Lapides et al., In Review, https://eartharxiv.org/mc6np/). This resource constitutes the empirical basis for that study, a comprehensive dataset compiled from literature including:

1 - Channel length survey data (csv files)
2 - Discharge time series data (csv files)
3 - Watershed metadata (csv file)
4 - Blueline network files (pdf, png, and shp files)

This collection is comprehensive in that it includes all watersheds where at least three channel length surveys have been conducted and where a corresponding discharge time series dataset is available. The requirement of a minimum of three channel length surveys stems from the data requirements to find α and β for the power law relationship between discharge and stream network length for headwater catchments (Godsey et al., 2014). At present, data for 14 watersheds worldwide are included in the collection along with reference maps, watershed metadata, shapefiles and a composite of USGS blueline stream network imagery with terrain for watersheds of interest in the United States. Notably, this collection brings data from a variety of earth science agencies worldwide into a common, clearly labelled format.

Methods used to process the datasets or create other assets in this collection are included in the abstracts or additional metadata for each of the four resources listed above. Python code used to process data, compute variables, and create graphics is available at: https://zenodo.org/record/4057320

湿润河道网络（Wetted Channel Network）全年处于扩张与收缩的动态变化之中。通过对某一集水区（Catchment）开展全年多频次的密集调查，可直接观测这一过程。Godsey等人（2014年）提出，湿润河道网络的覆盖范围与出水口处的径流量（Discharge）符合幂律（Power Law）关系：$L = alpha Q^eta$。基于这一关系，我们构建了一套评估湿润河道网络覆盖范围变异性的框架，该框架以β值与径流量Q的变异性为自变量（Lapides等人，已投稿待刊，https://eartharxiv.org/mc6np/）。本数据集为该项研究提供了实证基础，是一套从公开文献中整合得到的综合数据集，具体包含以下内容：
1. 河道长度调查数据（CSV格式文件）
2. 径流量时间序列数据（CSV格式文件）
3. 集水区元数据（Metadata，CSV格式文件）
4. 蓝线水系网络（Blueline Network）文件（包含PDF、PNG及SHP格式文件）

本数据集具备全面性，收录了所有满足以下两个条件的集水区：至少开展过三次河道长度调查，且拥有对应的径流量时间序列数据集。要求至少三次河道长度调查的原因在于，要拟合源头集水区（Headwater Catchments）径流量与河道网络长度之间的幂律关系，需获取α与β两个参数，这一要求源自Godsey等人（2014年）的研究设定。目前，本数据集收录了全球14个集水区的相关数据，同时附带参考地图、集水区元数据、形状文件（SHP），以及针对美国境内目标集水区的美国地质调查局（United States Geological Survey，USGS）蓝线水系网络影像与地形复合图层。值得注意的是，本数据集将全球多家地球科学机构的异构数据整合为统一且标注清晰的格式。

针对本数据集四类资源的处理方法，或是本数据集内其他成果的生成方法，均已在上述四类资源的摘要或附加元数据中予以说明。用于数据处理、变量计算及图表生成的Python代码可通过以下链接获取：https://zenodo.org/record/4057320