WHONDRS River Corridor Sediment and Water Geochemistry and In Situ Sensor Data from 7 Perennial and 7 Intermittent Streams across San Antonio, Texas (v2)

This dataset supports a broader study examining the effects of intermittency on sediment respiration. The dataset provides sediment and surface water geochemistry and in situ sensor data from 7 perennial and 7 intermittent streams in San Antonio, Texas. Each stream/site was visited both in summer during base flow (July-September 2023) and winter during peak flow (January-February 2024). Related data were collected and will be published separately in collaboration with A. Veach. The data package was originally published in April 2025. It was updated in June 2025 (v2; modified and new files). See the change history section in the readme for more details. For details on how to navigate data packages generated by this project, see https://data.ess-dive.lbl.gov/portals/PNNLRiverCorridorSFA/About. This dataset is comprised of two folders of field photos and videos, one folder of raw Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) data and one main data folder containing (1) file-level metadata; (2) data dictionary; (3) field metadata; (4) readme; (5) international generic sample number (IGSN) mapping file; (6) field protocol; (7) a subfolder with sample data; and (8) a subfolder with sensor data. The sample data subfolder contains (1) surface water and sediment dissolved organic carbon (DOC, measured as non-purgeable organic carbon, NPOC) data and averages; (2) surface water and sediment total nitrogen data and averages; (3) sediment grain size data; (4) sediment iron (II) data and averages; (5) wet sediment mass, dry sediment mass, water mass, and wet sediment volume in incubation and sediment ICR vials; (7) sediment incubation respiration rate data and averages; (8) normalized respiration rate data and averages; (9) methods codes; (10) sediment percent carbon and nitrogen; (11) sediment X-ray diffraction (XRD) data; (12) gravimetric moisture and averages; (13) a subfolder with sediment incubation respiration data, scripts, and plots; (14) surface water and sediment FTICR methods; and (15) a subfolder of 9.4 Tesla (9.4T) FTICR-MS data. This folder contains five subfolders, one containing the sediment .xml data files, one containing the water .xml files, one containing the sediment CoreMS output files, one containing the water CoreMS output files, and the other containing instructions and scripts for processing the files in CoreMS (https://github.com/EMSL-Computing/CoreMS). The sensor data subfolder contains (1) a subfolder with miniDOT dissolved oxygen and temperature data and plots; (2) miniDOT dissolved oxygen and temperature summary data; and (3) miniDOT installation methods. All files are .csv, .pdf, .R, .xml, .d, .html, .Rmd, .py, .cal, .json, .jpg, .jpeg, .png, .mov, or .mp4.

本数据集支撑一项针对间歇性对沉积物呼吸作用影响的拓展性研究。数据集包含美国得克萨斯州圣安东尼奥市7条常年性溪流与7条间歇性溪流的沉积物、地表水地球化学数据及原位传感器监测数据。每个溪流/监测点位均在夏季基流期（2023年7月—9月）与冬季洪峰期（2024年1月—2月）各开展一次野外踏勘。相关配套数据将由A. Veach合作牵头单独发布。
本数据包最初于2025年4月公开发布，并于2025年6月更新至v2版本（新增并修改了部分文件），详细更新记录请参阅自述文件中的变更历史章节。如需了解本项目生成的数据包导航方式，请访问：https://data.ess-dive.lbl.gov/portals/PNNLRiverCorridorSFA/About。
本数据集包含以下内容：两类野外照片与视频文件夹、1个原始傅里叶变换离子回旋共振质谱（FTICR-MS）数据文件夹，以及1个主数据文件夹。主数据文件夹包含：(1) 文件级元数据；(2) 数据字典；(3) 野外元数据；(4) 自述文件；(5) 国际通用样本编号（IGSN）映射文件；(6) 野外实验方案；(7) 1个存放样本数据的子文件夹；(8) 1个存放传感器数据的子文件夹。
样本数据子文件夹包含：(1) 地表水与沉积物溶解性有机碳（DOC，以不可吹扫有机碳NPOC计测）数据及其平均值；(2) 地表水与沉积物总氮数据及其平均值；(3) 沉积物粒度数据；(4) 沉积物二价铁数据及其平均值；(5) 培养瓶与沉积物ICR瓶中湿沉积物质量、干沉积物质量、水体质量及湿沉积物体积数据；(7) 沉积物培养呼吸速率数据及其平均值；(8) 归一化呼吸速率数据及其平均值；(9) 方法代码表；(10) 沉积物碳氮百分含量数据；(11) 沉积物X射线衍射（XRD）数据；(12) 重量法含水率数据及其平均值；(13) 1个存放沉积物培养呼吸数据、分析脚本与绘图结果的子文件夹；(14) 地表水与沉积物FTICR分析方法文件；(15) 1个存放9.4特斯拉（9.4T）FTICR-MS数据的子文件夹。
该9.4T FTICR-MS数据子文件夹包含5个下级子文件夹：分别存放沉积物.xml数据文件、地表水.xml数据文件、沉积物CoreMS输出文件、地表水CoreMS输出文件，以及用于在CoreMS（https://github.com/EMSL-Computing/CoreMS）中处理数据的操作指南与脚本文件。
传感器数据子文件夹包含：(1) 1个存放miniDOT溶解氧与温度监测数据及绘图结果的子文件夹；(2) miniDOT溶解氧与温度汇总数据；(3) miniDOT设备安装方法文件。
本数据集所有文件格式包括.csv、.pdf、.R、.xml、.d、.html、.Rmd、.py、.cal、.json、.jpg、.jpeg、.png、.mov及.mp4。