Contributors | Affiliation | Role |
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Peterson, Richard N. | Coastal Carolina University | Co-Principal Investigator, Contact |
Water samples for radium isotope analysis were collected from both niskin bottles attached to the CTD rosette (‘C’ designator in data sheet) and from niskin bottles attached to the remotely operated vehicle (ROV). Water samples were filtered through 47 mm GFF filters (unless otherwise noted), then passed slowly through 25 g (dry) acrylic fibers impregnated with MnO2 (Moore, 1976). Fibers were then washed 10x with Ra-free freshwater to remove salts and dried to a mass between 35 and 57 g for optimal humidity levels (Sun and Torgersen, 1998). Fibers were then immediately counted on a Radium Delayed Coincidence Counter (RaDeCC; Moore and Arnold, 1996) for total Ra-224 and Ra-223. Roughly 3 weeks later, fibers were counted again for supported Ra-224. Thus, excess (‘XS’) Ra-224 is the difference between total and supported Ra-224 measurements.
Radium isotopes were analyzed with a Radium Delayed Coincidence Counter (Moore and Arnold, 1996). This system was calibrated to standard MnO2 prepared from NIST-traceable solutions of Th-232 and Ac-227 (with daughters in equilibrium).
Data processing was performed in Microsoft Excel.
- Modified parameter (column header) names to conform with CSV standards (remove spaces, special characters, etc.)
- Added column for ISO DateTime in UTC
- Converted the submitted Date column to ISO format (i.e., YYYY-MM-DD)
- Added correct hemisphere sign to longitude values (negative sign)
- Created columns for comments to accommodate identification of measurements that were below detection; previously marked as "BD" within numeric isotope observations columns.
- Corrected reference to Gulf of Mexico in dataset abstract to Gulf of California.
Parameter | Description | Units |
C_or_R | CTD or ROV Niskin sample designator | unitless |
Station | Station # | unitless |
Site | Site Name | unitless |
Date | Local date (EST) sample collected | unitless |
Time | Local time (EST) sample collected | unitless |
Latitude | Sampling latitude | decimal degrees |
Longitude | Sampling longitude | decimal degrees |
Depth | Water depth of sample collection | meters (m) |
Sample_Volume | Water sample volume | Liters (l) |
Ra223_Activity | Radium-223 activity. Note, minimum detectable activities (dpm/100L) are calculated based on Currie (1968). Any measured values lower than the minimum detectable activity is labeled ‘BD’. | disintegrations per minute per 100 Liters (dpm/100L) |
Ra223_Activity_Comment | Radium-223 activity comment field where BD = below detection | unitless |
Ra223_Unc | 1-s analytical uncertainty for Ra223. Any value corresponding to measured values lower than the minimum detectable activity is labeled ‘BD’. | disintegrations per minute per 100 Liters (dpm/100L) |
Ra223_Unc_Comment | 1-s analytical uncertainty for Ra223 comment field where BD = below detection | unitless |
XS_Ra224_Activity | Excess radium-224 activity. Note, minimum detectable activities (dpm/100L) are calculated based on Currie (1968). Any measured value lower than the minimum detectable activity is labeled ‘BD’. | disintegrations per minute per 100 Liters (dpm/100L) |
XS_Ra224_Activity_Comment | Excess radium-224 activity comment field where BD = below detection | unitless |
XS_Ra224_Unc | 1-s analytical uncertainty for Ra224 | disintegrations per minute per 100 Liters (dpm/100L) |
XS_Ra224_Unc_Comment | 1-s analytical uncertainty for Ra225 comment field where BD = below detection | unitless |
ISO_DateTime_UTC | Sample date and time in ISO standardized format added by repository | unitless |
Dataset-specific Instrument Name | Niskin bottle |
Generic Instrument Name | Niskin bottle |
Dataset-specific Description | Both niskin bottles attached to the CTD rosette (‘C’ designator in data sheet) and from niskin bottles attached to the remotely operated vehicle (ROV) were used to collect samples. |
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. |
Dataset-specific Instrument Name | Radium Delayed Coincidence Counter (Moore and Arnold, 1996) |
Generic Instrument Name | Radium Delayed Coincidence Counter |
Dataset-specific Description | Radium Delayed Coincidence Counter (Moore and Arnold, 1996). This system was calibrated to standard MnO2 prepared from NIST-traceable solutions of Th-232 and Ac-227 (with daughters in equilibrium). |
Generic Instrument Description | The RaDeCC is an alpha scintillation counter that distinguishes decay events of short-lived radium daughter products based on their contrasting half-lives. This system was pioneered by Giffin et al. (1963) and adapted for radium measurements by Moore and Arnold (1996).
References:
Giffin, C., A. Kaufman, W.S. Broecker (1963). Delayed coincidence counter for the assay of actinon and thoron. J. Geophys. Res., 68, pp. 1749-1757.
Moore, W.S., R. Arnold (1996). Measurement of 223Ra and 224Ra in coastal waters using a delayed coincidence counter. J. Geophys. Res., 101 (1996), pp. 1321-1329.
Charette, Matthew A.; Dulaiova, Henrieta; Gonneea, Meagan E.; Henderson, Paul B.; Moore, Willard S.; Scholten, Jan C.; Pham, M. K. (2012). GEOTRACES radium isotopes interlaboratory comparison experiment. Limnology and Oceanography - Methods, vol 10, pg 451. |
Dataset-specific Instrument Name | ROV |
Generic Instrument Name | ROV SuBastian |
Dataset-specific Description | Water samples for radium isotope analysis were collected from niskin bottles attached to the remotely operated vehicle (ROV). |
Generic Instrument Description | ROV SuBastian is operated from the research vessel Falkor and the R/V Falkor(too). The ROV is outfitted with a suite of sensors and scientific equipment to support scientific data and sample collection, as well as interactive research, experimentation, and technology development. More information available at https://schmidtocean.org/technology/robotic-platforms/4500-m-remotely-op... |
Website | |
Platform | R/V Falkor |
Start Date | 2019-02-11 |
End Date | 2019-03-14 |
Description | Start and end port: Manzanillo, Mexico |
Description from NSF award abstract:
Hydrothermally active sediments in the Guaymas Basin are dominated by novel microbial communities that catalyze important biogeochemical processes in these seafloor ecosystems. This project will investigate genomic potential, physiological capabilities and biogeochemical roles of key uncultured organisms from Guaymas sediments, especially the high-temperature anaerobic methane oxidizers that occur specifically in hydrothermally active sediments (ANME-1Guaymas). The study will focus on their role in carbon transformations, but also explore their potential involvement in sulfur and nitrogen transformations. First-order research topics include quantifying anaerobic methane oxidation under high temperature,in situ concentrations of phosphorus and methane , and with alternate electron acceptors; sulfate and sulfur-dependent microbial pathways and isotopic signatures under these conditions; and nitrogen transformations in methane-oxidizing microbial communities, hydrothermal mats and sediments.
This integrated biogeochemical and microbiological research will explore the pathways of and environmental controls on the consumption and production of methane, other alkanes, inorganic carbon, organic acids and organic matter that fuel the Guaymas sedimentary microbial ecosystem. The hydrothermal sediments of Guaymas Basin provide a spatially compact, high-activity location for investigating novel modes of methane cycling and carbon assimilation into microbial biomass. In the case of anaerobic methane oxidation, the high temperature and pressure tolerance of Guaymas Basin methane-oxidizing microbial communities, and their potential to uncouple from the dominant electron acceptor sulfate, vastly increase the predicted subsurface habitat space and biogeochemical role for anaerobic microbial methanotrophy in global deep subsurface diagenesis. Further, microbial methane production and oxidation interlocks with syulfur and nitrogen transformations, which will be explored at the organism and process level in hydrothermal sediment microbial communities and mats of Guaymas Basin. In general, first-order research tasks (rate measurements, radiotracer incorporation studies, genomes, in situ microgradients) define the key microbial capabilities, pathways and processes that mediate chemical exchange between the subsurface hydrothermal/seeps and deep ocean waters.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |