ABSTRACT:

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 (desneiges.murray@unh.edu) 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.

ABSTRACT:

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 (desneiges.murray@unh.edu) 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.

ABSTRACT:

The data provided here is used in the submitted manuscript "Synchrony of nitrogen wet deposition inputs and watershed exports 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 (desneiges.murray@unh.edu)

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. IT code can be provided upon request.

ABSTRACT:

Beavers alter stream environments by impounding flow and flooding the landscape. This project aims to test whether beaver dams alter the stream biogeochemistry and productivity. Specifically, we hypothesize that dam will be warmer, have greater productivity (measured by chlorophyll proxy), and higher DOC, turbidity, and nutrient concentrations than downstream areas. Field methods include water, periphyton and sediment sampling in paired beaver ponds and stream areas immediately downstream of the dam. Additional sites include one below all dams and one above all dams. We analyzed Spawn Creek which has current beaver activity.