Anion Data for the East River Watershed, Colorado (2014-2023)

Williams, Kenneth; Beutler, Curtis; Brown, Wendy; Newman, Alexander; O'Ryan, Dylan; Versteeg, Roelof; Varadharajan, Charuleka; Crystal-Ornelas, Robert; Alper, Erek

doi:10.15485/1668054

Title: Anion Data for the East River Watershed, Colorado (2014-2023)

Dataset
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Abstract

The anion data for the East River Watershed, Colorado, consists of fluoride, chloride, sulfate, nitrate, and phosphate concentrations collected at multiple, long-term monitoring sites that include stream, groundwater, and spring sampling locations. These locations represent important and/or unique end-member locations for which solute concentrations can be diagnostic of the connection between terrestrial and aquatic systems. Such locations include drainages underlined entirely or largely by shale bedrock, land covered dominated by conifers, aspens, or meadows, and drainages impacted by historic mining activity and the presence of naturally mineralized rock. Developing a long-term record of solute concentrations from a diversity of environments is a critical component of quantifying the impacts of both climate change and discrete climate perturbations, such as drought, forest mortality, and wildfire, on the riverine export of multiple anionic species. Such data may be combined with stream gauging stations co-located at each monitoring site to directly quantify the seasonal and annual mass flux of these anionic species out of the watershed. This data package contains (1) a zip file (anion_data_2014-2023.zip) containing a total of 346 files: 345 data files of anion data from across the Lawrence Berkeley National Laboratory (LBNL) Watershed Function Scientific Focus Area (SFA) which is reportedmore »« less

Authors:

; Beutler, Curtis;

; Newman, Alexander;

; Versteeg, Roelof;

;

; Alper, Erek

Lawrence Berkeley National Laboratory
Bugs Unlimited, LLC
Subsurface Insights

Contributors:

Publication Date:: Mon Jan 01 00:00:00 EST 2024

Other Number(s):: 10.15485/1668054; paf_497_919

Research Org.:: Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) (United States); Watershed Function SFA

Sponsoring Org.:: U.S. DOE > Office of Science > Biological and Environmental Research (BER)

Subject:: 54 ENVIRONMENTAL SCIENCES

Keywords:: geochemical; anion; anions; ground water; surface area; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > GROUND WATER; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER; Anions; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > GROUND WATER > GROUNDWATER CHEMISTRY; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER CHEMISTRY

Geolocation:: 39.034,-106.88|38.88,-106.88|38.88,-107.05|39.034,-107.05|39.034,-106.88

OSTI Identifier:: 1668054

DOI:: https://doi.org/10.15485/1668054

Project Location:

Citation Formats


                    Williams, Kenneth, Beutler, Curtis, Brown, Wendy, Newman, Alexander, O'Ryan, Dylan, Versteeg, Roelof, Varadharajan, Charuleka, Crystal-Ornelas, Robert, and Alper, Erek. Anion Data for the East River Watershed, Colorado (2014-2023).  United States: N. p., 2024. 
        Web.  doi:10.15485/1668054.

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                    Williams, Kenneth, Beutler, Curtis, Brown, Wendy, Newman, Alexander, O'Ryan, Dylan, Versteeg, Roelof, Varadharajan, Charuleka, Crystal-Ornelas, Robert, & Alper, Erek. Anion Data for the East River Watershed, Colorado (2014-2023).  United States.  doi:https://doi.org/10.15485/1668054

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                    Williams, Kenneth, Beutler, Curtis, Brown, Wendy, Newman, Alexander, O'Ryan, Dylan, Versteeg, Roelof, Varadharajan, Charuleka, Crystal-Ornelas, Robert, and Alper, Erek. 2024.  
"Anion Data for the East River Watershed, Colorado (2014-2023)".  United States.  doi:https://doi.org/10.15485/1668054.  https://www.osti.gov/servlets/purl/1668054. Pub date:Mon Jan 01 00:00:00 EST 2024

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@article{osti_1668054,

  title        = {Anion Data for the East River Watershed, Colorado (2014-2023)},

  author       = {Williams, Kenneth and Beutler, Curtis and Brown, Wendy and Newman, Alexander and O'Ryan, Dylan and Versteeg, Roelof and Varadharajan, Charuleka and Crystal-Ornelas, Robert and Alper, Erek},

  abstractNote = {The anion data for the East River Watershed, Colorado, consists of fluoride, chloride, sulfate, nitrate, and phosphate concentrations collected at multiple, long-term monitoring sites that include stream, groundwater, and spring sampling locations. These locations represent important and/or unique end-member locations for which solute concentrations can be diagnostic of the connection between terrestrial and aquatic systems. Such locations include drainages underlined entirely or largely by shale bedrock, land covered dominated by conifers, aspens, or meadows, and drainages impacted by historic mining activity and the presence of naturally mineralized rock. Developing a long-term record of solute concentrations from a diversity of environments is a critical component of quantifying the impacts of both climate change and discrete climate perturbations, such as drought, forest mortality, and wildfire, on the riverine export of multiple anionic species. Such data may be combined with stream gauging stations co-located at each monitoring site to directly quantify the seasonal and annual mass flux of these anionic species out of the watershed. This data package contains (1) a zip file (anion_data_2014-2023.zip) containing a total of 346 files: 345 data files of anion data from across the Lawrence Berkeley National Laboratory (LBNL) Watershed Function Scientific Focus Area (SFA) which is reported in .csv files per location and a locations.csv (1 file) with latitude and longitude for each location; (2) a file-level metadata (v5_20240311_flmd.csv) file that lists each file contained in the dataset with associated metadata; and (3) a data dictionary (v5_20240311_dd.csv) file that contains terms/column_headers used throughout the files along with a definition, units, and data type. Missing values within the anion data files are noted as either "-9999" or "0.0" for not detectable (N.D.) data. There are a total of 39 locations containing anion data.Update on 2022-06-10: versioned updates to this dataset were made along with these changes: (1) updated anion data for all locations up to 2021-12-31, (2) removal of units from column headers in datafiles, (3) added row underneath headers to contain units of variables, (4) restructure of units to comply with CSV reporting format requirements, and (5) the addition of the file-level metadata (flmd.csv) and data dictionary (dd.csv) were added to comply with the File-Level Metadata Reporting Format.Update on 2022-09-09: Updates were made to reporting format specific files (file-level metadata and data dictionary) to correct swapped file names, add additional details on metadata descriptions on both files, add a header_row column to enable parsing, and add version number and date to file names (v2_20220909_flmd.csv and v2_20220909_dd.csv).Update on 2022-12-20: Updates were made to both the data files and reporting format specific files. Conversion issues affecting ER-PLM locations for anion data was resolved for the data files. Additionally, the flmd and dd files were updated to reflect the updated versions of these files. Available data was added up until 2022-03-14.Update on 2023-08-08: Updates were made to both the data files and reporting format specific files. New available anion data was added, up until 2023-05-19. The file level metadata and data dictionary files were updated to reflect the additional data added.Update on 2024-03-11: Updates were made to both the data files and reporting format specific files. New available anion data was added, up until 2023-09-11. Further, revisions to the data files were made to remove incorrect data points (from 1970 and 2001). The reporting format specific files were updated to reflect the additional data added.},

  doi          = {10.15485/1668054},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Jan 01 00:00:00 EST 2024},

  month        = {Mon Jan 01 00:00:00 EST 2024}

}

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DOI: https://doi.org/10.15485/1668054

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