Data From: Influence of Hydrological Perturbations and Riverbed Sediment Characteristics on Hyporheic Zone Respiration of CO2 and N-2, Journal of Geophysical Research-Biogeosciences

This data package contains pumping data (.txt), parameter matrices, and R code (.R, .RData) to perform bootstrapping for parameter selection for the bioclogging model development. The pumping data were collected from the Russian River Riverbank Filtration site located in Sonoma County, California from 2010-2017 from three riverbank collection wells located alongside the study site. The pumping data is directly correlated with water table oscillations, so the code performs these correlations and simulates stochastic versions of water table oscillations. See Metadata Description.pdf for full details on dataset production. This dataset must be used with the R programming language. This dataset and R code is associated with the publication "Influence of Hydrological Perturbations and Riverbed Sediment Characteristics on Hyporheic Zone Respiration of CO2 and N-2" This research was supported by the Jane Lewis Fellowship from the University of California, Berkeley, the Sonoma County Water Agency (SCWA), the Roy G. Post Foundation Scholarship, the U.S. Department of Energy, Office of Science Graduate Student Research (SCGSR) Program, U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research under award DE-AC02-05CH11231, and the UFZ-Helmholtz Centre for Environmental Research, Leipzig, Germany.

本数据包包含抽水数据（.txt格式）、参数矩阵以及用于生物堵塞模型开发过程中参数选择的自举（Bootstrap）分析所需的R代码（.R、.RData格式）。本抽水数据采集自2010年至2017年间位于加利福尼亚州索诺马县的俄罗斯河河岸过滤场，采样点紧邻研究区域，共设置三口河岸集水井。抽水数据与地下水位波动存在直接相关性，配套代码可完成此类相关性分析，并模拟地下水位波动的随机演化过程。如需了解数据集构建的完整细节，请参阅《Metadata Description.pdf》文件。本数据集需配合R编程语言使用。本数据集与配套R代码关联于发表论文《水文扰动与河床沉积物特征对潜流带（Hyporheic Zone）CO₂与N₂呼吸作用的影响》。本研究受到以下机构与项目的资助：加州大学伯克利分校简·刘易斯奖学金（Jane Lewis Fellowship）、索诺马县水务局（Sonoma County Water Agency, SCWA）、罗伊·G·波斯特基金会奖学金（Roy G. Post Foundation Scholarship）、美国能源部科学研究生研究（SCGSR）计划、美国能源部科学办公室生物与环境研究办公室（资助编号DE-AC02-05CH11231），以及德国莱比锡的亥姆霍兹环境研究中心UFZ（UFZ-Helmholtz Centre for Environmental Research）。