Dustin Kincaid
University of Vermont;Vermont EPSCoR | Post-doctoral Associate
Subject Areas: | Biogeochemistry, Ecosystem Ecology, Hydrology |
Recent Activity
ABSTRACT:
The CAMELS-Chem dataset is a comprehensive collection of stream water chemistry data, atmospheric deposition data, and catchment attribute data for 516 minimally impacted headwater catchments across the continental United States. The dataset spans a period of 39 years, from 1980 through 2018, and includes 18 common stream water chemistry constituents, such as Al, Ca, Cl, Dissolved Organic Carbon, Total Organic Carbon, HCO3, K, Mg, Na, Total Dissolved Nitrogen, NO3, Dissolved Oxygen, pH, Si, SO4, and water temperature. Additionally, the dataset provides annual wet deposition loads for several key components. The dataset is based on the existing CAMELS dataset, which provides catchment attribute data such as topography, climate, land cover, soil, and geology. In CAMELS-Chem, this catchment attribute data is paired with atmospheric deposition data from the National Atmospheric Deposition Program and water chemistry data and instantaneous discharge from the US Geological Survey. The dataset also includes paired instantaneous and discharge measurements for all chemistry samples.
The catchment attribute data files used in the CAMELS-Chem dataset were downloaded from the CAMELS website (https://ral.ucar.edu/solutions/products/camels
ABSTRACT:
These high-frequency (15-minute) data were collected in situ from 2014 to 2018 at the following Vermont EPSCoR stream monitoring stations in Vermont, USA (formerly of the North East Water Resources Network [NEWRnet]):
Hungerford Brook (agricultural)
Potash Brook (urban)
Wade Brook (forested)
Nitrate and SRP concentrations were measured using s::can spectro::lyser UV-Visible spectrophotometers (s::can Messtechnik GmbH, Vienna, Austria). Also included in this dataset are hydrograph delineations (condition: event flow vs. baseflow) as described in the journal article below.
For site details and collection and event delineation methods see Kincaid DW, Seybold EC, Adair EC, Bowden WB, Perdrial JN, Vaughan MCH, & Schroth AW. (2020). Land use and season influence event-scale nitrate and soluble reactive phosphorus exports and export stoichiometry from headwater watersheds. (DOI to go here upon publication).
The dataset includes 2014-2015 discharge and nitrate data from Vaughan, M. (2017). Vermont NEWRnet stations: 2014-2015 high-frequency DOC, nitrate, and discharge data, HydroShare, http://www.hydroshare.org/resource/faac1672244c407e9c9c8644c8211fd6.
ABSTRACT:
These high-frequency (15-minute) data were collected in situ from 2014 to 2018 at the following NEWRnet stream monitoring stations in Vermont, USA:
Hungerford Brook (agricultural)
Potash Brook (urban)
Wade Brook (forested)
Nitrate and SRP concentrations were measured using s::can spectro::lyser UV-Visible spectrophotometers (s::can Messtechnik GmbH, Vienna, Austria). Indicated in this dataset are hydrograph delineations (condition: event flow vs. baseflow) as described in the journal article below. For collection methods, site details, and event delineation methods see Kincaid DW, Seybold EC, Adair EC, Bowden WB, Perdrial JN, Vaughan MCH, & Schroth AW. (2020). Land use and season influence event-scale nitrate and soluble reactive phosphorus exports and export stoichiometry from headwater watersheds. (DOI to go here upon publication).
The dataset includes 2014-2015 discharge and nitrate data from Vaughan, M. (2017). Vermont NEWRnet stations: 2014-2015 high-frequency DOC, nitrate, and discharge data, HydroShare, http://www.hydroshare.org/resource/faac1672244c407e9c9c8644c8211fd6.
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Created: July 6, 2020, 1:54 p.m.
Authors: Kincaid, Dustin
ABSTRACT:
These high-frequency (15-minute) data were collected in situ from 2014 to 2018 at the following NEWRnet stream monitoring stations in Vermont, USA:
Hungerford Brook (agricultural)
Potash Brook (urban)
Wade Brook (forested)
Nitrate and SRP concentrations were measured using s::can spectro::lyser UV-Visible spectrophotometers (s::can Messtechnik GmbH, Vienna, Austria). Indicated in this dataset are hydrograph delineations (condition: event flow vs. baseflow) as described in the journal article below. For collection methods, site details, and event delineation methods see Kincaid DW, Seybold EC, Adair EC, Bowden WB, Perdrial JN, Vaughan MCH, & Schroth AW. (2020). Land use and season influence event-scale nitrate and soluble reactive phosphorus exports and export stoichiometry from headwater watersheds. (DOI to go here upon publication).
The dataset includes 2014-2015 discharge and nitrate data from Vaughan, M. (2017). Vermont NEWRnet stations: 2014-2015 high-frequency DOC, nitrate, and discharge data, HydroShare, http://www.hydroshare.org/resource/faac1672244c407e9c9c8644c8211fd6.
Created: July 6, 2020, 2:48 p.m.
Authors: Dustin W. Kincaid · Erin C. Seybold · E. Carol Adair · William B. Bowden · Julia N. Perdrial · Matthew C.H. Vaughan · Andrew W. Schroth
ABSTRACT:
These high-frequency (15-minute) data were collected in situ from 2014 to 2018 at the following Vermont EPSCoR stream monitoring stations in Vermont, USA (formerly of the North East Water Resources Network [NEWRnet]):
Hungerford Brook (agricultural)
Potash Brook (urban)
Wade Brook (forested)
Nitrate and SRP concentrations were measured using s::can spectro::lyser UV-Visible spectrophotometers (s::can Messtechnik GmbH, Vienna, Austria). Also included in this dataset are hydrograph delineations (condition: event flow vs. baseflow) as described in the journal article below.
For site details and collection and event delineation methods see Kincaid DW, Seybold EC, Adair EC, Bowden WB, Perdrial JN, Vaughan MCH, & Schroth AW. (2020). Land use and season influence event-scale nitrate and soluble reactive phosphorus exports and export stoichiometry from headwater watersheds. (DOI to go here upon publication).
The dataset includes 2014-2015 discharge and nitrate data from Vaughan, M. (2017). Vermont NEWRnet stations: 2014-2015 high-frequency DOC, nitrate, and discharge data, HydroShare, http://www.hydroshare.org/resource/faac1672244c407e9c9c8644c8211fd6.
Created: April 3, 2023, 9:50 p.m.
Authors: Sterle, Gary · Harpold, Adrian A · HAQ, IJAZ UL · Perdrial, Julia · Kincaid, Dustin · Lee, Byung Suk
ABSTRACT:
The CAMELS-Chem dataset is a comprehensive collection of stream water chemistry data, atmospheric deposition data, and catchment attribute data for 516 minimally impacted headwater catchments across the continental United States. The dataset spans a period of 39 years, from 1980 through 2018, and includes 18 common stream water chemistry constituents, such as Al, Ca, Cl, Dissolved Organic Carbon, Total Organic Carbon, HCO3, K, Mg, Na, Total Dissolved Nitrogen, NO3, Dissolved Oxygen, pH, Si, SO4, and water temperature. Additionally, the dataset provides annual wet deposition loads for several key components. The dataset is based on the existing CAMELS dataset, which provides catchment attribute data such as topography, climate, land cover, soil, and geology. In CAMELS-Chem, this catchment attribute data is paired with atmospheric deposition data from the National Atmospheric Deposition Program and water chemistry data and instantaneous discharge from the US Geological Survey. The dataset also includes paired instantaneous and discharge measurements for all chemistry samples.
The catchment attribute data files used in the CAMELS-Chem dataset were downloaded from the CAMELS website (https://ral.ucar.edu/solutions/products/camels