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

Dataset ·
DOI:https://doi.org/10.15485/2587412· OSTI ID:2587412
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  1. University of Toledo
  2. Pacific Northwest National Laboratory (PNNL)
  3. Argonne National Laboratory
  4. University of Manchester
  5. Oak Ridge National Laboratory
  6. Smithsonian Environmental Research Center

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.

Research Organization:
COMPASS-FME
Sponsoring Organization:
U.S. DOE > Office of Science > Biological and Environmental Research (BER)
DOE Contract Number:
AC02-05CH11231
OSTI ID:
2587412
Country of Publication:
United States
Language:
English