Streamflow measurements from four sites on the Tuolumne River in Yosemite National Park from Water Years 2002 to 2021

Regions with remote and complex terrain experience spatially varying streamflow patterns, but are often poorly sampled due to difficult access. This data package includes streamflow measurements collected using low-visibility and low-impact installations at four sites on the Tuolumne River in Yosemite National Park, for water years 2002 to 2021. The resulting data set offers a unique opportunity to explore hydrologic processes in complex terrain. This data package contains half-hourly recordings of unvented pressure, vented pressure, and water temperature are measured and used to estimate discharge and stage height. Discharge flags provide insight into data anomalies. This dataset is formatted in accordance with ESS-Dive's Hydrologic Monitoring and File Level Metadata Formats. It contains the following files: 1) Folder containing four csv files of time series streamflow measurements (unvented pressure, vented pressure, estimated discharge, water temperature, stage height, and discharge flag) from four locations on the Tuolumne River 2) Data dictionary (dd.csv) containing units, definitions, human readable column names, and data type for all column headers throughout the dataset 3) File-level metadata (FLMD.csv) containing metadata for files contained in the dataset 4) Installation methods (InstallationMethods.csv) containing metadata on sensor installation

地形偏远且复杂的区域，其径流（streamflow）格局呈现空间异质性，但因地形通达性较差，该类区域的采样往往不足。本数据包收录了2002至2021水文年（water year）期间，美国约塞米蒂国家公园内图奥勒米河四个监测点位，采用低可见度、低影响布设方式采集的径流观测数据。本数据集为探究复杂地形下的水文过程（hydrologic processes）提供了独特的研究契机。本数据包包含每半小时一次的观测记录：实测无通气压力（unvented pressure）、通气压力（vented pressure）与水温数据，并以此估算流量（discharge）与水位高度。流量标记可用于甄别数据异常情况。本数据集的格式遵循ESS-Dive的水文监测与文件级元数据格式规范。本数据包内含以下文件：1) 时序观测数据集文件夹：包含4个CSV格式文件，存储图奥勒米河四个点位的径流时序观测数据，字段涵盖无通气压力、通气压力、估算流量、水温、水位高度及流量标记；2) 数据字典（dd.csv）：收录数据集所有列标题的单位、定义、易读列名及数据类型信息；3) 文件级元数据（FLMD.csv）：包含数据集内各文件的元数据信息；4) 布设方法说明（InstallationMethods.csv）：收录传感器布设相关的元数据内容。