Spatial Study 2022: Surface Water Samples, Cotton Strip Degradation, and Hydrologic Sensor Data across the Yakima River Basin, Washington, USA (v3)

This dataset supports a broader study examining the drivers of spatial variability in sediment respiration rates in the Yakima River Basin. The dataset provides data and photos generated from sample collection during the same one-week period at 48 sites within multiple rivers throughout the Yakima River Basin in Washington, USA. The contents include surface water geochemistry data; river substrate grain size photos; stream depth data; manual chamber open channel respiration data; and field metadata (including qualitative information on instream and river corridor characteristics). Grain size photos can be used to improve estimates of channel substrate D50 data. The dataset also includes tensile strength and photos from cotton strip field degradation experiments; five-week sensor time series temperature, dissolved oxygen, pressure, pH, specific conductance, chlorophyll A, and turbidity data; plots of the sensor data; and R scripts used to generate the plots.
Samples collected during this study were labeled as “Second Spatial Study” or “SSS.” 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. SSS data published in the CM data package were not included in this data package. 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. Additionally, sensor data from a similar 2021 spatial study can be found at https://data.ess-dive.lbl.gov/view/doi:10.15485/1892052 and 2021 sample data can be found at https://data.ess-dive.lbl.gov/view/doi:10.15485/1898914. The 2021 spatial study had some sites in common with this 2022 spatial study.
This dataset is comprised of three photo folders and one main data folder with six subfolders. The photo folders contain photographs and videos of cotton strip retrieval and sediment quadrats. The main data folder consists of (1) file-level metadata; (2) data dictionary; (3) field metadata; (4) total suspended solids (TSS) data and cotton strip tensile strength data and averages; (5) field protocol; (6) readme; (7) methods codes; (8) international generic sample number (IGSN) mapping file; (9) sensor installation methods summary; (10) stream depth and averages; and (11) Ultrameter data and averages. The Sonar subfolder consists of Sonar time-series depth data and a processing script. The BarotrollAtm, DepthHOBO, MantaRiver, miniDOT, and miniDOTManualChamber subfolders contain time-series data, plots, and summary files. All files are .csv, .pdf, .txt, .R, .Rmd, .jpg, .jpeg, .AVI, .mp4, or .mov.
The data package was originally published in April 2023. It was updated in August 2023 (v2; modified files) and September 2024 (v3; modified files). See the change history section in the readme for details.
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.

本数据集支撑一项针对美国亚基马河流域沉积物呼吸速率空间变异驱动因子的拓展研究。数据集包含2022年同一周内，于美国华盛顿州亚基马河流域多条河流的48个采样点采集样本时产生的相关数据与照片。所涵盖内容包括地表水地球化学数据、河流底质粒径照片、河道水深数据、手动腔室明渠呼吸速率数据，以及野外元数据（包含河道内与河流廊道特征的定性信息）。其中底质粒径照片可用于优化河道底质D50参数的估算结果。本数据集还包含棉条野外降解实验的抗拉强度数据与对应照片；为期五周的传感器时序数据，涵盖温度、溶解氧、压力、pH、电导率、叶绿素a与浊度；传感器数据可视化图表，以及用于生成上述图表的R脚本。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）”。其中部分SSS样本的数据已发表于《美国本土连续区域（Contiguous United States，简称CONUS）尺度模型样本（Model-Sample，简称CM）》研究数据包，该数据包可通过https://data.ess-dive.lbl.gov/view/doi:10.15485/1923689获取，其涵盖了全美CONUS范围内的相关数据。已收录于CM数据包的SSS数据未包含在本数据包中，这些数据包括溶解性有机碳（Dissolved Organic Carbon，简称DOC，以不可吹扫有机碳Non-Purgeable Organic Carbon，简称NPOC计测）、总氮（Total Nitrogen，简称TN）、底质粒径、好氧沉积物呼吸速率、溶解氧（Dissolved Oxygen，简称DO）与温度。SSS与CM数据包的父样本ID及站点ID保持一致，可直接进行映射，从而实现跨数据包数据的联合使用。此外，2021年同类空间研究的传感器数据可通过https://data.ess-dive.lbl.gov/view/doi:10.15485/1892052获取，2021年的采样数据则可通过https://data.ess-dive.lbl.gov/view/doi:10.15485/1898914获取。该2021年空间研究与本次2022年空间研究存在部分重合的采样站点。本数据集包含3个照片文件夹与1个主数据文件夹，主数据文件夹下设11个子文件夹。照片文件夹内包含棉条回收与沉积物样方的实拍照片与视频。主数据文件夹的内容包括：(1) 文件级元数据；(2) 数据字典；(3) 野外元数据；(4) 总悬浮颗粒物（Total Suspended Solids，简称TSS）数据、棉条抗拉强度数据及其平均值；(5) 野外实验规程；(6) 说明文档（readme）；(7) 方法代码；(8) 国际通用样本编号（International Generic Sample Number，简称IGSN）映射文件；(9) 传感器安装方法概要；(10) 河道水深数据及其平均值；(11) 超声测流仪数据及其平均值。其中Sonar子文件夹包含声呐时序水深数据与处理脚本；BarotrollAtm、DepthHOBO、MantaRiver、miniDOT及miniDOTManualChamber子文件夹则包含时序数据、可视化图表与汇总文件。所有文件格式为.csv、.pdf、.txt、.R、.Rmd、.jpg、.jpeg、.AVI、.mp4或.mov。本数据包最初于2023年4月发布，分别于2023年8月（版本2，修改部分文件）与2024年9月（版本3，修改部分文件）进行更新。详细更新历史请参见说明文档中的变更记录章节。我们感谢亚基马族作为本次数据采集所在土地的所有者与守护者。同时感谢亚基马民族联盟与部落委员会及亚基马族渔业部门，感谢其与我们合作，协助完成采样工作，并基于其自身价值观与世界观优化了数据使用方式。