Data for Machado-Silva et al. (2024), "Short-Term Groundwater Level Fluctuations Drive Subsurface Redox Variability"

Machado-Silva, Fausto; Weintraub, Michael; Ward, Nicholas; Doro, Kennedy; Regier, Peter; Ehosioke, Solomon; Thomas, Shan Pushpajom; Bittencourt Peixoto, Roberta; Sandoval, Leticia; Forbrich, Inke; Kemner, Ken; O'Loughlin, Edward; Stetten, Lucie; Spanbauer, Trisha; Bridgeman, Thomas; O'Meara, Teri; Rod, Kenton; Patel, Kaizad; McDowell, Nate; Megonigal, J. Patrick; Rich, Roy; Bailey, Vanessa

doi:10.15485/2587412

Title: Data for Machado-Silva et al. (2024), "Short-Term Groundwater Level Fluctuations Drive Subsurface Redox Variability"

Dataset
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Abstract

This dataset contains the analytical data reported in Machado-Silva et al. (2024) as part of the COMPASS-FME project, which seeks to advance a scalable, predictive understanding of the fundamental biogeochemical processes, ecological structure, and ecosystem dynamics that distinguish coastal terrestrial-aquatic interfaces from the purely terrestrial or aquatic systems to which they are coupled. The dataset consists of water quality parameters as well as redox potential, water content, and electrical conductivity. These data were collected in 2022 in Crane Creek (CRC), Portage River (PTR), and Old Woman Creek (OWC). Each of these sites included uplands (UP), transitions (TR), wetland-transition edge (WTE), and wetland (W) zones. The sites represent replicates of the Lake Erie terrestrial-aquatic interface under fluctuating water levels and are located in well-preserved areas with natural or restored marsh and forest cover.This dataset consists of a single data file (Machado_Silva_et_al_2024_EST_data.csv) that is in comma-separated value (CSV) format. No special software is required to read it.This dataset uses the ESS-DIVE Hydrologic Monitoring Reporting Format 1.0.

Authors:

;

; Thomas, Shan Pushpajom;

;

; Bridgeman, Thomas;

;

University of Toledo
Pacific Northwest National Laboratory (PNNL)
Argonne National Laboratory
University of Manchester
Oak Ridge National Laboratory
Smithsonian Environmental Research Center

Publication Date:: Tue Dec 31 23:00:00 EST 2024

DOE Contract Number:: AC02-05CH11231

Research Org.:: COMPASS-FME

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

Subject:: 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > OCEANS > COASTAL PROCESSES; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > GROUND WATER; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > GROUND WATER > GROUNDWATER CHEMISTRY; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format; ESS-DIVE Hydrologic Monitoring Reporting Format

OSTI Identifier:: 2587412

DOI:: https://doi.org/10.15485/2587412

Citation Formats


                    Machado-Silva, Fausto, Weintraub, Michael, Ward, Nicholas, Doro, Kennedy, Regier, Peter, Ehosioke, Solomon, Thomas, Shan Pushpajom, Bittencourt Peixoto, Roberta, Sandoval, Leticia, Forbrich, Inke, Kemner, Ken, O'Loughlin, Edward, Stetten, Lucie, Spanbauer, Trisha, Bridgeman, Thomas, O'Meara, Teri, Rod, Kenton, Patel, Kaizad, McDowell, Nate, Megonigal, J. Patrick, Rich, Roy, and Bailey, Vanessa. Data for Machado-Silva et al. (2024), "Short-Term Groundwater Level Fluctuations Drive Subsurface Redox Variability".  United States: N. p., 2024. 
        Web.  doi:10.15485/2587412.

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                    Machado-Silva, Fausto, Weintraub, Michael, Ward, Nicholas, Doro, Kennedy, Regier, Peter, Ehosioke, Solomon, Thomas, Shan Pushpajom, Bittencourt Peixoto, Roberta, Sandoval, Leticia, Forbrich, Inke, Kemner, Ken, O'Loughlin, Edward, Stetten, Lucie, Spanbauer, Trisha, Bridgeman, Thomas, O'Meara, Teri, Rod, Kenton, Patel, Kaizad, McDowell, Nate, Megonigal, J. Patrick, Rich, Roy, & Bailey, Vanessa. Data for Machado-Silva et al. (2024), "Short-Term Groundwater Level Fluctuations Drive Subsurface Redox Variability".  United States.  doi:https://doi.org/10.15485/2587412

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                    Machado-Silva, Fausto, Weintraub, Michael, Ward, Nicholas, Doro, Kennedy, Regier, Peter, Ehosioke, Solomon, Thomas, Shan Pushpajom, Bittencourt Peixoto, Roberta, Sandoval, Leticia, Forbrich, Inke, Kemner, Ken, O'Loughlin, Edward, Stetten, Lucie, Spanbauer, Trisha, Bridgeman, Thomas, O'Meara, Teri, Rod, Kenton, Patel, Kaizad, McDowell, Nate, Megonigal, J. Patrick, Rich, Roy, and Bailey, Vanessa. 2024.  
"Data for Machado-Silva et al. (2024), "Short-Term Groundwater Level Fluctuations Drive Subsurface Redox Variability"".  United States.  doi:https://doi.org/10.15485/2587412.  https://www.osti.gov/servlets/purl/2587412. Pub date:Tue Dec 31 23:00:00 EST 2024

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@article{osti_2587412,

  title        = {Data for Machado-Silva et al. (2024), "Short-Term Groundwater Level Fluctuations Drive Subsurface Redox Variability"},

  author       = {Machado-Silva, Fausto and Weintraub, Michael and Ward, Nicholas and Doro, Kennedy and Regier, Peter and Ehosioke, Solomon and Thomas, Shan Pushpajom and Bittencourt Peixoto, Roberta and Sandoval, Leticia and Forbrich, Inke and Kemner, Ken and O'Loughlin, Edward and Stetten, Lucie and Spanbauer, Trisha and Bridgeman, Thomas and O'Meara, Teri and Rod, Kenton and Patel, Kaizad and McDowell, Nate and Megonigal, J. Patrick and Rich, Roy and Bailey, Vanessa},

  abstractNote = {This dataset contains the analytical data reported in Machado-Silva et al. (2024) as part of the COMPASS-FME project, which seeks to advance a scalable, predictive understanding of the fundamental biogeochemical processes, ecological structure, and ecosystem dynamics that distinguish coastal terrestrial-aquatic interfaces from the purely terrestrial or aquatic systems to which they are coupled. The dataset consists of water quality parameters as well as redox potential, water content, and electrical conductivity. These data were collected in 2022 in Crane Creek (CRC), Portage River (PTR), and Old Woman Creek (OWC). Each of these sites included uplands (UP), transitions (TR), wetland-transition edge (WTE), and wetland (W) zones. The sites represent replicates of the Lake Erie terrestrial-aquatic interface under fluctuating water levels and are located in well-preserved areas with natural or restored marsh and forest cover.This dataset consists of a single data file (Machado_Silva_et_al_2024_EST_data.csv) that is in comma-separated value (CSV) format. No special software is required to read it.This dataset uses the ESS-DIVE Hydrologic Monitoring Reporting Format 1.0.},

  doi          = {10.15485/2587412},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Dec 31 23:00:00 EST 2024},

  month        = {Tue Dec 31 23:00:00 EST 2024}

}

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DOI: https://doi.org/10.15485/2587412

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