Attention:The NSF Public Access Repository (PAR) system and access will be unavailable from 5:00 PM ET until 8:00 PM ET on Friday, September 11 due to maintenance. We apologize for the inconvenience.


Title: Dissolved Ba, Cd, Cu, Ga, Mn, Ni, and V concentrations and Ba isotope concentrations from the US GEOTRACES Arctic Expedition (GN01, HLY1502) from August to October 2015
Dissolved Ba, Cd, Cu, Ga, Mn, Ni, and V concentration data from the US GEOTRACES Arctic Expedition (GN01, HLY1502) from August to October 2015. Clean seawater samples were collected using a GEOTRACES CTD referred to as GT-C/12L GoFlo. Additional near surface samples were collected using either a small boat or through the ice using Teflon coated Tygon tubing and a trace metal clean pump (IWAKI, model WMD-30LFY-115). This dataset also includes selected stable Ba isotope analyses.  more » « less
Award ID(s):
2023456
PAR ID:
10542234
Author(s) / Creator(s):
;
Publisher / Repository:
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Date Published:
Format(s):
Medium: X
Location:
Arctic Ocean; Sailing from Dutch Harbor to Dutch Harbor; Arctic Circle; (East Bound Longitude:179.5926; North Bound Latitude:89.995; South Bound Latitude:60.165; West Bound Longitude:-179.8082)
Right(s):
Creative Commons Attribution 4.0 International
Sponsoring Org:
National Science Foundation
More Like this
  1. This dataset includes the total dissolved, dissolved labile, and soluble nickel concentration results determined in water column samples collected using a trace-metal clean CTD rosette, or an inflatable dinghy, during four cruises in the Bermuda Atlantic Time-series Study (BATS) region in March, May, August, and November 2019. The samples and associated data were collected for the Bermuda Atlantic Iron Time-series (BAIT) project (GEOTRACES Process Study GApr13). Post-cruise sample analyses were performed at the University of South Florida (labile dissolved nickel) and Old Dominion University (dissolved nickel, soluble nickel). 
    more » « less
  2. These data comprise the concentrations of dissolved iron and manganese determined in water-column and near-surface seawater samples, collected using a trace-metal clean CTD rosette or underway towfish sampler, respectively, during U.S. GEOTRACES cruise GP17-OCE (R/V Roger Revelle cruise RR2214). The dissolved iron data include shipboard measurements made using flow-injection analysis, and post-cruise measurements made using inductively-coupled plasma mass spectrometry, whereas the dissolved manganese data include only post-cruise measurements made using inductively-coupled plasma mass spectrometry. 
    more » « less
  3. This dataset includes measurements of dissolved barium (Ba) concentrations in the South Pacific and Southern Ocean from the US GEOTRACES GP17 section (GP17-OCE, Papeete, Tahiti to Punta Arenas, Chile) on R/V Roger Revelle from December 2022 to January 2023. 
    more » « less
  4. We present a spatially and vertically resolved global grid of dissolved barium concentrations ([Ba]) in seawater determined using Gaussian Process Regression machine learning. This model was trained using 4,345 quality-controlled GEOTRACES data from the Arctic, Atlantic, Pacific, and Southern Oceans. Model output was validated by assessing the accuracy of [Ba] simulations in the Indian Ocean, noting that none of the Indian Ocean data were seen by the model during training. We identify a model that can accurate predict [Ba] in the Indian Ocean using seven features: depth, temperature, salinity, as well as dissolved dioxygen, phosphate, nitrate, and silicate concentrations. This model achieves a mean absolute percentage error of 6.0 %, which we assume represents the generalization error. This model was used to simulate [Ba] on a global basis using predictor data from the World Ocean Atlas 2018. The global model of [Ba] is on a 1°x 1° grid with 102 depth levels from 0 to 5,500 m. The dissolved [Ba] output was then used to simulate dissolved Ba* (barium-star), which is the difference between 'observed' and [Ba] predicted from co-located [Si]. Lastly, [Ba] data were combined with temperature, salinity, and pressure data from the World Ocean Atlas to calculate the saturation state of seawater with respect to barite. The model reveals that the volume-weighted mean oceanic [Ba] and and saturation state are 89 nmol/kg and 0.82, respectively. These results imply that the total marine Ba inventory is 122(±7) ×10¹² mol and that the ocean below 1,000 m is at barite equilibrium. 
    more » « less
  5. Abstract: Iron is an essential micronutrient for marine life, and its distribution across the world ocean is mostly driven by its complexation by a fraction of the dissolved organic matter pool called iron-binding ligands. This dataset includes the concentration and conditional stability constant of dissolved iron-binding ligands of samples collected during the U.S. GEOTRACES GP17-ANT cruise. This cruise was aiming to investigate the distribution of trace metals and dependent variables in the Amundsen Sea (Antarctica), hotspot of primary production and of major interest in carbon cycling. The cruise departed Punta Arenas (Chile) on November 29th, 2023 and arrived in Lyttelton (New Zealand) on January 28th 2024, after sample collection in the Amundsen Sea (Antarctica). Seawater samples were collected with a tow-fish and a trace metal clean rosette equipped with 24 GoFlo bottles, placed in acid-clean FLPE bottles, and stored frozen (-20 degrees Celsius) until onboard analysis by Dr. Léo Mahieu, if not analyzed within 24 hours after collection. The Amundsen Sea is the site of some of the biggest phytoplanktonic blooms happening seasonally across the world ocean, and is, therefore, an important zone for carbon fixation and export. Yet, uncertainty remains about the processes fueling this bloom, notably for iron. The Amundsen Sea is characterized by shallow depth allowing for connectivity between sediment resuspension and phytoplankton iron supply, and by one of the higher rates of the sea-ice melt rate observed on the Antarctic continent. This dataset is the first one to present iron-binding ligand characteristics in samples deeper than 300 m in the Amundsen Sea, and allows us to report on the impact of sediment resuspension, ice melting, and biological productivity on iron-binding ligand characteristics and on their role in transporting iron in the Amundsen Sea. 
    more » « less