Contributors | Affiliation | Role |
---|---|---|
John, Seth G. | University of Southern California (USC) | Principal Investigator |
Moffett, James W. | University of Southern California (USC) | Co-Principal Investigator |
Yang, Shun-Chung | University of Southern California (USC) | Contact |
Rauch, Shannon | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Seawater and suspended particles were collected using 5 L acid‐cleaned Teflon‐coated external‐spring "Niskin‐type" bottles (Ocean Test Equipment) on a powder‐coated trace metal clean rosette (Sea‐Bird Electronics). After collection, seawater was filtered through acid-cleaned 47 mm-diameter 0.2 μm Supor polyethersulfone filters (Pall) into acid-washed 1 L low density polyethylene bottles (Nalgene). The filters with suspended particles (>0.2 μm) were stored in acid-washed 50 mL polyethylene centrifuge tubes. Size-fractionated marine particles were also collected at station P1 using a McLane pump (McLane Research Laboratories, Falmouth, MA, USA) equipped with a 4 mm mesh screen, a 142 mm-diameter Sefar polyester mesh prefilter (51 μm pore size) and a 142 mm-diameter 0.8 μm Pall Supor polyethersulfone filter at each sampling depth. All filters and filter holders were acid leached before use based.
Seawater samples (1L) were acidified to pH = 1.8 with 1 mL concentrated distilled HCl and added with 1 mL 30% H2O2, and left for over 1 month. For particulate samples, each 47 and 142 mm-diameter filter was digested by placing the filter in a 25 mL acid-washed Teflon vial containing 5 mL of 8 M HNO₃. HF was not used to digest the samples in order to minimize the decomposition of lithogenic materials. Samples were digested on a hot plate at 120°C for 12 h. After digestion, the filters were taken out, placed into acid-washed 15 mL centrifuge tubes and rinsed with 5 mL Milli-Q water. The Milli-Q water was transferred into the same digestion vials. The digested solution was then heated on a hot plate at 80°C in a trace-metal clean hood to nearly dry. Digested and dried particle samples were re-dissolved by adding 10 mL of 4 M HNO₃, transferred into acid-washed 15 mL centrifuge tubes, and then centrifuged at 2000 rpm for 5 mins to segregate insoluble particles and filter debris.
Seawater and particulate samples were then amended with double isotope spikes of 61Ni and 62Ni, 57Fe and 58Fe, 64Zn and 67Zn, and 110Cd and 112Cd in a spike-to-sample ratio of 2:1 for Fe, and 1:1 for Ni, Zn and Cd. Ni, Cd, Fe, Zn, and Cu in both types of samples were then extracted using Nobias PA1 resin. Metals of the seawater and particle extract were further separated and purified for isotopic analysis via anion exchange chromatography with AG-MP1 resin. As Fe, Zn and Cd samples were ready for analysis after the treatment, Cu required to be purified again by AG-MP1 resin and Ni required additional purification by Nobias PA-1 resin, followed by another separation using AG-MP1 to remove contaminants. Detailed information of the whole purification steps is described in Yang et al. (2020).
Isotopic measurements were performed using a multi-collector ICP-MS (Thermo Neptune) with a desolvator nebulizer as the sample introduction system (ESI Apex- IR), and the concentrations were determined using an high-resolution ICP-MS (Thermo Element 2) with a PC3 desolvation system.
Data processing was done using Excel 2016 with home-made data reduction algorithms. The data reduction algorithms were modified from Rudge et al. (2009).
BCO-DMO Processing:
- replaced "N/A" with "nd" to indicate "no data";
- added date-time field in ISO8601 format;
- renamed fields to comply with BCO-DMO naming conventions.
File |
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Metals.csv (Comma Separated Values (.csv), 46.65 KB) MD5:649a35161cd35e615555526bf41f465e Primary data file for dataset ID 842086 |
Parameter | Description | Units |
Cruise_id | Cruise identifier | unitless |
Bottle | Bottle number | unitless |
Station | Station number | unitless |
Depth | Sample depth | meters (m) |
Ni_60_58_UF_DELTA_BOTTLE | d60/58Ni in seawater (<0.02 µm) | per mil |
SD1_Ni_60_58_UF_DELTA_BOTTLE | One standard deviation of Ni_60_58_UF_DELTA_BOTTLE | per mil |
Cd_114_110_UF_DELTA_BOTTLE | d114/110Cd in seawater (<0.02 µm) | per mil |
SD1_Cd_114_110_UF_DELTA_BOTTLE | One standard deviation of Cd_114_110_UF_DELTA_BOTTLE | per mil |
Fe_56_54_UF_DELTA_BOTTLE | d56/54Fe in seawater (<0.02 µm) | per mil |
SD1_Fe_56_54_UF_DELTA_BOTTLE | One standard deviation of Fe_56_54_UF_DELTA_BOTTLE | per mil |
Zn_66_64_UF_DELTA_BOTTLE | d66/64Zn in seawater (<0.02 µm) | per mil |
SD1_Zn_66_64_UF_DELTA_BOTTLE | One standard deviation of Zn_66_64_UF_DELTA_BOTTLE | per mil |
Ni_60_58_TD_DELTA_BOTTLE | Total dissolved d60/58Ni (<0.2 µm) | per mil |
SD1_Ni_60_58_TD_DELTA_BOTTLE | One standard deviation of Ni_60_58_TD_DELTA_BOTTLE | per mil |
Cd_114_110_TD_DELTA_BOTTLE | Total dissolved d114/110Cd (<0.2 µm) | per mil |
SD1_Cd_114_110_TD_DELTA_BOTTLE | One standard deviation of Cd_114_110_TD_DELTA_BOTTLE | per mil |
Fe_56_54_TD_DELTA_BOTTLE | Total dissolved d56/54Fe (<0.2 µm) | per mil |
SD1_Fe_56_54_TD_DELTA_BOTTLE | One standard deviation of Fe_56_54_TD_DELTA_BOTTLE | per mil |
Zn_66_64_TD_DELTA_BOTTLE | Total dissolved d66/64Zn (<0.2 µm) | per mil |
SD1_Zn_66_64_TD_DELTA_BOTTLE | One standard deviation of Zn_66_64_TD_DELTA_BOTTLE | per mil |
Cu_65_63_TD_DELTA_BOTTLE | Total dissolved d65/63Cu (<0.2 µm) | per mil |
SD1_Cu_65_63_TD_DELTA_BOTTLE | One standard deviation of Cu_65_63_TD_DELTA_BOTTLE | per mil |
Ni_60_58_SPT_DELTA_PUMP | d60/58Ni determined by in situ filtration (pump) collected on a 0.8 µm filter (0.8-51 µm) | per mil |
SD1_Ni_60_58_SPT_DELTA_PUMP | One standard deviation of Ni_60_58_SPT_DELTA_PUMP | per mil |
Cd_114_110_SPT_DELTA_PUMP | d114/110Cd determined by in situ filtration (pump) collected on a 0.8 µm filter (0.8-51 µm) | per mil |
SD1_Cd_114_110_SPT_DELTA_PUMP | One standard deviation of Cd_114_110_SPT_DELTA_PUMP | per mil |
Fe_56_54_SPT_DELTA_PUMP | d56/54Fe determined by in situ filtration (pump) collected on a 0.8 µm filter (0.8-51 µm) | per mil |
SD1_Fe_56_54_SPT_DELTA_PUMP | One standard deviation of Fe_56_54_SPT_DELTA_PUMP | per mil |
Zn_66_64_SPT_DELTA_PUMP | d66/64Zn determined by in situ filtration (pump) collected on a 0.8 µm filter (0.8-51 µm) | per mil |
SD1_Zn_66_64_SPT_DELTA_PUMP | One standard deviation of Zn_66_64_SPT_DELTA_PUMP | per mil |
Cu_65_63_SPT_DELTA_PUMP | d65/63Cu determined by in situ filtration (pump) collected on a 0.8 µm filter (0.8-51 µm) | per mil |
SD1_Cu_65_63_SPT_DELTA_PUMP | One standard deviation of Cu_65_63_SPT_DELTA_PUMP | per mil |
Ni_60_58_LPT_DELTA_PUMP | d60/58Ni determined by in situ filtration (pump) collected on a 51 µm filter (>51 µm) | per mil |
SD1_Ni_60_58_LPT_DELTA_PUMP | One standard deviation of Ni_60_58_LPT_DELTA_PUMP | per mil |
Cd_114_110_LPT_DELTA_PUMP | d114/110Cd determined by in situ filtration (pump) collected on a 51 µm filter (>51 µm) | per mil |
SD1_Cd_114_110_LPT_DELTA_PUMP | One standard deviation of Cd_114_110_LPT_DELTA_PUMP | per mil |
Fe_56_54_LPT_DELTA_PUMP | d56/54Fe determined by in situ filtration (pump) collected on a 51 µm filter (>51 µm) | per mil |
SD1_Fe_56_54_LPT_DELTA_PUMP | One standard deviation of Fe_56_54_LPT_DELTA_PUMP | per mil |
Zn_66_64_LPT_DELTA_PUMP | d66/64Zn determined by in situ filtration (pump) collected on a 51 µm filter (>51 µm) | per mil |
SD1_Zn_66_64_LPT_DELTA_PUMP | One standard deviation of Zn_66_64_LPT_DELTA_PUMP | per mil |
Cu_65_63_LPT_DELTA_PUMP | d65/63Cu determined by in situ filtration (pump) collected on a 51 µm filter (>51 µm) | per mil |
SD1_Cu_65_63_LPT_DELTA_PUMP | One standard deviation of Cu_65_63_LPT_DELTA_PUMP | per mil |
Ni_UF_CONC_BOTTLE | Dissolved Ni in seawater (<0.02 µm) | nanomoles per kilogram (nmol/kg) |
Cd_UF_CONC_BOTTLE | Dissolved Cd in seawater (<0.02 µm) | nanomoles per kilogram (nmol/kg) |
Fe_UF_CONC_BOTTLE | Dissolved Fe in seawater (<0.02 µm) | nanomoles per kilogram (nmol/kg) |
Zn_UF_CONC_BOTTLE | Dissolved Zn in seawater (<0.02 µm) | nanomoles per kilogram (nmol/kg) |
Ni_TD_CONC_BOTTLE | Total dissolved Ni (<0.2 µm) | nanomoles per kilogram (nmol/kg) |
Cd_TD_CONC_BOTTLE | Total dissolved Cd (<0.2 µm) | nanomoles per kilogram (nmol/kg) |
Fe_TD_CONC_BOTTLE | Total dissolved Fe (<0.2 µm) | nanomoles per kilogram (nmol/kg) |
Zn_TD_CONC_BOTTLE | Total dissolved Zn (<0.2 µm) | nanomoles per kilogram (nmol/kg) |
Cu_TD_CONC_BOTTLE | Total dissolved Cu (<0.2 µm) | nanomoles per kilogram (nmol/kg) |
Ni_SPT_CONC_PUMP | Ni determined by in situ filtration (pump) collected on a 0.8 µm filter (0.8-51 µm particles) | picomoles per kilogram (pmol/kg) |
Cd_SPT_CONC_PUMP | Cd determined by in situ filtration (pump) collected on a 0.8 µm filter (0.8-51 µm particles) | picomoles per kilogram (pmol/kg) |
Fe_SPT_CONC_PUMP | Fe determined by in situ filtration (pump) collected on a 0.8 µm filter (0.8-51 µm particles) | picomoles per kilogram (pmol/kg) |
Zn_SPT_CONC_PUMP | Zn determined by in situ filtration (pump) collected on a 0.8 µm filter (0.8-51 µm particles) | picomoles per kilogram (pmol/kg) |
Cu_SPT_CONC_PUMP | Cu determined by in situ filtration (pump) collected on a 0.8 µm filter (0.8-51 µm particles) | picomoles per kilogram (pmol/kg) |
Ni_LPT_CONC_PUMP | Ni determined by in situ filtration (pump) collected on a 51 µm filter (>51 µm particles) | picomoles per kilogram (pmol/kg) |
Cd_LPT_CONC_PUMP | Cd determined by in situ filtration (pump) collected on a 51 µm filter (>51 µm particles) | picomoles per kilogram (pmol/kg) |
Fe_LPT_CONC_PUMP | Fe determined by in situ filtration (pump) collected on a 51 µm filter (>51 µm particles) | picomoles per kilogram (pmol/kg) |
Zn_LPT_CONC_PUMP | Zn determined by in situ filtration (pump) collected on a 51 µm filter (>51 µm particles) | picomoles per kilogram (pmol/kg) |
Cu_LPT_CONC_PUMP | Cu determined by in situ filtration (pump) collected on a 51 µm filter (>51 µm particles) | picomoles per kilogram (pmol/kg) |
Ni_TP_CONC_BOTTLE | Total particulate Ni | picomoles per kilogram (pmol/kg) |
Cd_TP_CONC_BOTTLE | Total particulate Cd | picomoles per kilogram (pmol/kg) |
Fe_TP_CONC_BOTTLE | Total particulate Fe | picomoles per kilogram (pmol/kg) |
Zn_TP_CONC_BOTTLE | Total particulate Zn | picomoles per kilogram (pmol/kg) |
Cu_TP_CONC_BOTTLE | Total particulate Cu | picomoles per kilogram (pmol/kg) |
Longitude | Longitude (positive values = East) | decimal degrees East |
Latitude | Latitude (positive values = North) | decimal degrees North |
Date | Date; format: MM/DD/YYYY | unitless |
Time_UTC | Time (UTC); format: hh:mm:ss | unitless |
ISO_DateTime_UTC | Date and time (UTC) formatted to ISO8601 standard: YYYY-MM-DDThh:mm:ssZ | unitless |
Dataset-specific Instrument Name | multi-collector ICP-MS (Thermo Neptune) and high-resolution ICP-MS (Thermo Element 2) |
Generic Instrument Name | Inductively Coupled Plasma Mass Spectrometer |
Generic Instrument Description | An ICP Mass Spec is an instrument that passes nebulized samples into an inductively-coupled gas plasma (8-10000 K) where they are atomized and ionized. Ions of specific mass-to-charge ratios are quantified in a quadrupole mass spectrometer. |
Dataset-specific Instrument Name | McLane pump |
Generic Instrument Name | McLane Pump |
Generic Instrument Description | McLane pumps sample large volumes of seawater at depth. They are attached to a wire and lowered to different depths in the ocean. As the water is pumped through the filter, particles suspended in the ocean are collected on the filters. The pumps are then retrieved and the contents of the filters are analyzed in a lab. |
Dataset-specific Instrument Name | "Niskin‐type" bottles |
Generic Instrument Name | Niskin bottle |
Generic Instrument Description | A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24, or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc. |
Website | |
Platform | R/V Roger Revelle |
Start Date | 2018-03-27 |
End Date | 2018-04-13 |
Description | More information is available from R2R: https://www.rvdata.us/search/cruise/RR1804 |
Website | |
Platform | R/V Sikuliaq |
Start Date | 2016-12-20 |
End Date | 2017-01-16 |
Description | Cruise DOI: 10.7284/907444
See more cruise information from the Rolling Deck to Repository (R2R): https://www.rvdata.us/search/cruise/SKQ201617S |
NSF Award Abstract:
The major process controlling the internal cycling of biologically active trace metals in the oceans is through uptake onto and remineralization from sinking particles. Uptake can occur through active biological uptake into living cells as micronutrients, or chemical adsorption onto sinking materials. This latter process is often referred to as scavenging. The relative importance of these processes is often unclear, especially for elements that are both biologically active and also "particle reactive." The latter characteristic is associated with sparing solubility in seawater and the formation of strong complexes with surface sites, with examples such as iron. Recent evidence suggests that the simplistic view of a sinking particle as a passive surface for metal complexation may require some revision. Investigators James Moffett and Seth John propose to study the chemistry of transition metals within large sinking particles and the resultant effects on metal biogeochemical cycling. They will collaborate with a group at the University of Washington, recently funded to study the microbiology and molecular biology of these particles. The central hypothesis of this project is that reducing microbial microenvironments within large particles support high rates of nitrogen and sulfur cycling, greatly enhancing the particles' influence on metal chemistry. The investigators will study these processes in the Eastern Tropical North Pacific Oxygen Minimum Zone (OMZ). This regime was selected because of the wide range of redox conditions in the water column, and strong preliminary evidence that microenvironments within sinking particles have major biogeochemical impacts.
The primary objective is to investigate the interactions of metals with particles containing microenvironments that are more highly reducing than the surrounding waters. Such microenvironments arise when the prevailing terminal electron acceptor (oxygen, or nitrate in oxygen minimum zones) becomes depleted and alternative terminal electron acceptors are utilized. Within reducing microenvironments metal redox state and coordination chemistry are different from the bulk water column, and these microenvironments may dominate metal particle interactions. For example, reduction of sulfate to sulfide could bind metals that form strong sulfide complexes, such as cadmium and zinc, processes previously thought to be confined to sulfidic environments. Reducing microenvironments may account for the production of reduced species such as iron(II), even when their formation is thermodynamically unfavorable in the bulk water column. Tasks include observational characterization of dissolved and particulate trace metals and stable isotopes in the study area, sampling and in situ manipulation of particles using large-dimension sediment traps, shipboard experimental incubations under a range of redox conditions, and modeling, providing insight from microscopic to global scales. The metal chemistry data will be interpreted within a rich context of complimentary data including rates of nitrogen and sulfur cycling, phylogenetics and proteomic characterization of the concentration of key enzymes. Broader impacts include training of a postdoctoral scientist, international collaborations with Mexican scientists, and involvement of undergraduate students in the research.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |