Deposition and River paired timeseries v2

The data provided here is used in the submitted manuscript "Synchrony of nitrogen wet deposition inputs and watershed nitrogen outputs using information theory" by Desneiges S. Murray1, Edom Moges2, Laurel Larsen2, Michelle D. Shattuck1, William H. McDowell1, and Adam S. Wymore1 (1Department of Natural Resources and the Environment, University of New Hampshire, Durham NH, USA; 2Department of Geography, University of California, Berkeley California, USA. Corresponding author: Desneiges Murray ([e-mail]) to Water Resources Research.

Weekly, year-round, paired (e.g., < 1 km apart) wet deposition and river nitrogen (TDN, NO3, NH4, DON) time series from 2003 to 2020 from the Lamprey River Hydrological Observatory in New Hampshire, USA. Discharge data from the paired USGS site with river chemistry sampling site is also provided. This data is input to the associated Python Script, and is cleaned, paired, and weekly anomalies are calculated for input to information theory (IT) algorithms.

本数据集由Desneiges S. Murray等人在其提交的论文《利用信息论同步分析氮湿沉降输入与流域氮输出》中提供，该论文发表于《水资源研究》期刊。数据集包括来自美国新罕布什尔州拉姆普雷河水文观测站的2003年至2020年期间每周全年、配对（例如，相距小于1公里）的湿沉降和河流氮（TDN、NO3、NH4、DON）时间序列数据。此外，还提供了与河流化学采样站点配对的美国地质调查局（USGS）站点的排放数据。该数据集用于关联的Python脚本，经过清洗、配对以及计算每周异常值，以便输入到信息论（IT）算法中。