Data for Kim et al., "Variations in the optical and molecular composition of dissolved organic matter exported from coastal wetlands"

Kim, Jieun; Wilson, Stephanie; Myers-Pigg, Allison; Bociu, Ioana; Kemner, Kenneth; Regier, Peter; Rich, Roy; Kew, William; Megonigal, J. Patrick; Bailey, Vanessa; Ward, Nicholas

doi:10.15485/3001080

Title: Data for Kim et al., "Variations in the optical and molecular composition of dissolved organic matter exported from coastal wetlands"

Dataset
Other Related Research

Abstract

Knowledge about sources and composition of marsh-derived dissolved organic matter (DOM) is critical for understanding the role of marshes in coastal biogeochemical cycling and the fate of marsh-derived DOM in the ocean. To investigate tidal variability in composition of marsh-derived DOM, Kim et al. examined the optical and molecular characteristics of hourly surface water samples at three tidal creeks in the Chesapeake Bay. Groundwater samples along the terrestrial landscape gradient as well as estuarine water from the adjacent estuary at each site were also collected to help resolve sources of surface water DOM. Samples were collected in summer 2024 at three sites – SWH: Sweet Hall Marsh, GCW: Kirkpatrick Marsh, and GWI: Goodwin Islands – which are part of synoptic sites in the Chesapeake Bay region of the COMPASS-FME (Coastal Observations, Mechanisms, and Predictions Across Systems and Scales - Field, Measurements, and Experiments) project. Surface water samples were collected hourly over a 48-hour period at each site. Groundwater and estuarine water samples were collected once. This dataset includes- Surface water depth and salinity- Dissolved organic carbon (DOC) and total dissolved nitrogen (TDN) concentrations- Optical indices and relative composition of parallel factor analysis (PARAFAC) components- High resolution mass spectrometry data.

Authors:

;

; Bociu, Ioana;

;

Pacific Northwest National Laboratory (PNNL)
Smithsonian Environmental Research Center
Argonne National Laboratory

Publication Date:: Wed Jan 01 04:00:00 UTC 2025

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; COMPASS Synoptic sites; EARTH SCIENCE > OCEANS > COASTAL PROCESSES; EARTH SCIENCE > OCEANS > TIDES; EARTH SCIENCE > OCEANS > WATER QUALITY; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > GROUND WATER; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format

OSTI Identifier:: 3001080

DOI:: https://doi.org/10.15485/3001080

Citation Formats


                    Kim, Jieun, Wilson, Stephanie, Myers-Pigg, Allison, Bociu, Ioana, Kemner, Kenneth, Regier, Peter, Rich, Roy, Kew, William, Megonigal, J. Patrick, Bailey, Vanessa, and Ward, Nicholas. Data for Kim et al., "Variations in the optical and molecular composition of dissolved organic matter exported from coastal wetlands".  United States: N. p., 2025. 
        Web.  doi:10.15485/3001080.

Copy to clipboard


                    Kim, Jieun, Wilson, Stephanie, Myers-Pigg, Allison, Bociu, Ioana, Kemner, Kenneth, Regier, Peter, Rich, Roy, Kew, William, Megonigal, J. Patrick, Bailey, Vanessa, & Ward, Nicholas. Data for Kim et al., "Variations in the optical and molecular composition of dissolved organic matter exported from coastal wetlands".  United States.  doi:https://doi.org/10.15485/3001080

Copy to clipboard


                    Kim, Jieun, Wilson, Stephanie, Myers-Pigg, Allison, Bociu, Ioana, Kemner, Kenneth, Regier, Peter, Rich, Roy, Kew, William, Megonigal, J. Patrick, Bailey, Vanessa, and Ward, Nicholas. 2025.  
"Data for Kim et al., "Variations in the optical and molecular composition of dissolved organic matter exported from coastal wetlands"".  United States.  doi:https://doi.org/10.15485/3001080.  https://www.osti.gov/servlets/purl/3001080. Pub date:Wed Jan 01 04:00:00 UTC 2025

Copy to clipboard


                    
@article{osti_3001080,

  title        = {Data for Kim et al., "Variations in the optical and molecular composition of dissolved organic matter exported from coastal wetlands"},

  author       = {Kim, Jieun and Wilson, Stephanie and Myers-Pigg, Allison and Bociu, Ioana and Kemner, Kenneth and Regier, Peter and Rich, Roy and Kew, William and Megonigal, J. Patrick and Bailey, Vanessa and Ward, Nicholas},

  abstractNote = {Knowledge about sources and composition of marsh-derived dissolved organic matter (DOM) is critical for understanding the role of marshes in coastal biogeochemical cycling and the fate of marsh-derived DOM in the ocean. To investigate tidal variability in composition of marsh-derived DOM, Kim et al. examined the optical and molecular characteristics of hourly surface water samples at three tidal creeks in the Chesapeake Bay. Groundwater samples along the terrestrial landscape gradient as well as estuarine water from the adjacent estuary at each site were also collected to help resolve sources of surface water DOM. Samples were collected in summer 2024 at three sites – SWH: Sweet Hall Marsh, GCW: Kirkpatrick Marsh, and GWI: Goodwin Islands – which are part of synoptic sites in the Chesapeake Bay region of the COMPASS-FME (Coastal Observations, Mechanisms, and Predictions Across Systems and Scales - Field, Measurements, and Experiments) project. Surface water samples were collected hourly over a 48-hour period at each site. Groundwater and estuarine water samples were collected once. This dataset includes- Surface water depth and salinity- Dissolved organic carbon (DOC) and total dissolved nitrogen (TDN) concentrations- Optical indices and relative composition of parallel factor analysis (PARAFAC) components- High resolution mass spectrometry data.},

  doi          = {10.15485/3001080},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Jan 01 04:00:00 UTC 2025},

  month        = {Wed Jan 01 04:00:00 UTC 2025}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.15485/3001080

Save / Share:

Export Metadata

Save to My Library

Similar records in DOE Data Explorer and OSTI.GOV collections:

Data for Roebuck et al. (2025), "Differences in dissolved organic matter composition between rivers and estuaries is conserved across freshwater and saltwater coastal regions"

Dataset Roebuck, J. Alan ; Myers-Pigg, Allison ; Regier, Peter ; ...

Dissolved organic matter (DOM) in coastal surface waters influences local water quality and is an important component of biogeochemical cycling in coastal systems, but the processes that alter DOM composition along lower reaches of rivers and estuarine waters are poorly understood. Roebuck et al. (2025) leveraged a spatially distributed community sampling effort in coastal ecosystems across two regions to identify broad spatial drivers of surface water DOM composition and identify transferable trends between saltwater and freshwater coastal systems. Samples were collected by community members from 47 locations within the mid-Atlantic and Great Lakes coastal regions.This dataset includes:* A selection ofmore »« less
Scripts and data associated with a manuscript linking soil and sediment elemental composition with dissolved organic matter chemistry across CONUS

Dataset Roebuck, Alan ; Forbes, Brieanne ; Rod, Kenton A ; ...

This data package provides scripts and geochemical data for a manuscript titled “Linkages between mineral element composition of soils and sediments with hyporheic zone dissolved organic matter chemistry across the contiguous United States” (preprint: doi: 10.22541/essoar.169447343.31694990/v1). This data is associated with the Worldwide Hydrobiogeochemistry Observation Network for Dynamic River Systems (WHONDRS, https://whondrs.pnnl.gov) and is an extension of the Summer 2019 Sampling campaign which crowdsourced samples from rivers and sediment across the continental United States. Data from this study can be found at https://data.ess-dive.lbl.gov/datasets/doi:10.15485/1603775 and https://data.ess-dive.lbl.gov/datasets/doi:10.15485/1729719. The main objective of this manuscript was to couple sediment water extractable dissolved organic mattermore »« less
Surface Water Disinfection Byproducts and Organic Matter Characterization Data Associated with: “Disinfection byproducts formed during drinking water treatment reveal an export control point for dissolved organic matter in a subalpine headwater stream”

Dataset Leonard, Laura T. ; Beutler, Curtis A. ; Chu, Rosalie ; ...

This dataset is associated with the publication “Disinfection byproducts formed during drinking water treatment reveal an export control point for dissolved organic matter in a subalpine headwater stream” published in Water Research X (Leonard et al. 2022; https://doi.org/10.1016/j.wroa.2022.100144). The associated study analyzed temporal trends from the Town of Crested Butte water treatment facility and synoptic sampling at Coal Creek in Crested Butte, Colorado, US. This work demonstrates how drinking water quality archives combined with synoptic sampling and targeted analyses can be used to identify and understand export control points for dissolved organic matter.This dataset is comprised of one main datamore »« less
Greenhouse gas and dissolved oxygen production and consumption rates associated with Regier et al. (2023)

Dataset Regier, Peter ; Ward, Nick ; Izquierdo, Alex ; ...

Tidal inundation along the coastal terrestrial-aquatic interface controls soil and sediment biogeochemistry and gas dynamics. Although a rich literature exist on studies of the influence of tidal waters on the biogeochemistry of coastal ecosystem soils, few studies have experimentally addressed the reverse question: How do soils (or sediments) from different coastal ecosystems influence the biogeochemistry of the tidal waters that inundate them? We conducted short-term microcosm laboratory experiments where seawater was amended with sediments and soils collected across regional gradients of inundation exposure (i.e., frequently to rarely inundated) and measured changes in dissolved oxygen and greenhouse gas concentrations to calculatemore »« less
Geochemical and sequencing data from Goff et. al. 2022

Dataset Goff, Jennifer ; Putt, Andrew ; Fan, Yupeng ; ...

Similar Records