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

湿润渠道网络在一年中不断扩张与收缩。通过对流域进行全年的多次密集调查，可以直接观测这一过程。Godsey等人（2014年）提出，湿润渠道网络的广度与出口的流量呈幂律关系（L = αQ^β）。利用这一关系，我们建立了一个框架，以β和流量Q的变异性作为函数来评估湿润渠道广度的变化（Lapides等人，待发表，https://eartharxiv.org/mc6np/）。本资源构成了该研究的实证基础，它是一个综合数据集，由文献中的数据汇编而成，包括：

1. 渠道长度调查数据（csv文件）
2. 流量时间序列数据（csv文件）
3. 流域元数据（csv文件）
4. 蓝线网络文件（pdf、png和shp文件）

该数据集的全面性体现在它包括了至少进行了三次渠道长度调查且拥有相应流量时间序列数据集的所有流域。至少三次渠道长度调查的要求源于寻找上游流域流量与河流网络长度之间幂律关系中的α和β所需的数据要求（Godsey等人，2014年）。目前，该集合包含了全球14个流域的数据，以及参考地图、流域元数据、形状文件，以及美国感兴趣的流域的USGS蓝线河流网络影像与地形复合图。值得注意的是，该集合将来自全球各地地球科学机构的数据整合到了一个统一、标签清晰的格式中。

用于处理数据集或创建本集合中其他资产的方法包括在上述四个资源各自的摘要或附加元数据中。用于处理数据、计算变量和创建图形的Python代码可在以下链接获取：https://zenodo.org/record/4057320