Spatial Study 2022: Water Column, Sediment, and Total Ecosystem Respiration Rates across the Yakima River Basin, Washington, USA

This dataset supports a broader study examining the drivers of spatial variability in sediment respiration rates in the Yakima River Basin. We acknowledge the Yakama Nation as owners and caretakers of the lands where we collected these data. We thank the Confederated Tribes and Bands of the Yakama Nation Tribal Council and Yakama Nation Fisheries for working with us to facilitate sample collection and optimization of data usage according to their values and worldview. The dataset provides model results generated using streamMetabolizer (Appling et al.; 2018) using data collected during the same five-week period at 48 sites within multiple rivers throughout the Yakima River Basin in Washington, USA. The contents include model inputs and outputs for total ecosystem respiration; calculated sediment respiration; processing scripts; median grain size (d50); and annual oxygen consumption. Samples collected during this study were labeled as “Second Spatial Study” or “SSS.” Raw time series sensor data, total suspended solids, and depth data from SSS were published at https://data.ess-dive.lbl.gov/datasets/doi:10.15485/1969566. A subset of data from the SSS samples were published in the contiguous United States (CONUS)-Scale Model-Sample (CM) study data package available at https://data.ess-dive.lbl.gov/view/doi:10.15485/1923689 that presents data from across the CONUS. They include dissolved organic carbon (DOC, measured as non-purgeable organic carbon, NPOC), total nitrogen (TN), grain size, aerobic sediment respiration, dissolved oxygen (DO), and temperature. Parent IDs and Site IDs are consistent between the SSS and CM data packages, and they can be mapped directly so data across packages can be used together. Field metadata for the samples in this data package can be found at either link. This dataset is comprised of one main data folder with three subfolders. The main data folder contains of (1) file-level metadata; (2) data dictionary; (3) total/water column/sediment respiration; (4) median grain size (d50); and (5) annual oxygen consumption. The subfolders contain (1) model input files; (2) model output files; and (3) processing scripts. All files are .csv, .pdf, .R, .Rmd, or .html. Site T42 was mislabeled as T41. This error will be fixed when this data package is next updated and this note will be removed at that time.本数据集服务于一项更广泛的研究，该研究旨在探究美国亚基马河流域内沉积物呼吸速率空间异质性的驱动因素。我们谨向雅基马族致谢，其为本次数据采集所在土地的所有者与管护者。我们同时感谢雅基马族部落委员会下属的联合部落与族群，以及雅基马族渔业部门，感谢其与我们合作，协助完成样本采集，并依据其价值观与世界观优化数据使用方式。本数据集包含使用streamMetabolizer（Appling等，2018）生成的模型结果，所用数据采集于美国华盛顿州亚基马河流域多条河流内的48个采样点，采样周期为连续五周。数据集内容涵盖总生态系统呼吸的模型输入与输出文件、计算得到的沉积物呼吸数据、处理脚本、中值粒径（d50）以及年耗氧量。本研究采集的样本被标记为“第二次空间研究”（Second Spatial Study，简称SSS）。SSS样本的原始时间序列传感器数据、总悬浮固体数据与水深数据已发布于：https://data.ess-dive.lbl.gov/datasets/doi:10.15485/1969566。SSS样本的部分数据已收录于美国本土（CONUS）尺度模型样本（CM）研究数据包中，该数据包发布于：https://data.ess-dive.lbl.gov/view/doi:10.15485/1923689，涵盖全美国本土范围的采样数据。该数据包包含溶解性有机碳（DOC，以不可吹扫有机碳（NPOC）计量）、总氮（TN）、粒径、好氧沉积物呼吸、溶解氧（DO）与温度数据。SSS与CM数据包中的父级ID与站点ID保持一致，可直接进行映射，因此可将不同数据包中的数据联合使用。本数据包内样本的野外元数据可通过上述任一链接获取。本数据集包含1个主数据文件夹与3个子文件夹。主数据文件夹包含以下内容：(1) 文件级元数据；(2) 数据字典；(3) 总呼吸/水柱呼吸/沉积物呼吸数据；(4) 中值粒径（d50）；(5) 年耗氧量。子文件夹则包含：(1) 模型输入文件；(2) 模型输出文件；(3) 处理脚本。所有文件格式均为.csv、.pdf、.R、.Rmd或.html。站点T42被误标记为T41。该错误将在本数据包下次更新时修复，届时本说明将被移除。