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 files)
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

浸润渠道网络全年呈膨胀与收缩状态。通过在全年对流域进行多次密集调查，可直接观测此过程。Godsey 等人（2014年）提出，浸润渠道网络的规模与出口处的流量通过幂律关系（L = αQ^β）成比例。利用这一关系，我们建立了一个框架，以β值及流量Q的变异性为函数，评估浸润渠道规模的变化。此资源构成了该研究的经验基础，一个由文献汇编而成的综合数据集，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）

本集合的全面性体现在，它包括了至少进行了三次渠道长度调查，且对应有流量时间序列数据集的所有流域。最低三次渠道长度调查的要求，源于寻找α和β值以确定出口流量与上游流域流网络长度之间幂律关系的必要数据要求（Godsey 等人，2014年）。目前，该集合包含来自全球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流域的美国地质调查局（USGS）蓝线流网络影像与地形图的综合。值得注意的是，本集合将全球各地球科学机构的数据纳入一个统一的、清晰标注的格式。

上述四项资源中包含的处理数据集或创建其他资产所使用的方法，详见各自的摘要或附加元数据。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