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Blue marlin (Makaira nigricans) longevity estimates confirmed with modern bomb radiocarbon dating (post-1950)
The longevity of blue marlin (Makaira nigricans) remains unresolved. The use of fin spines and sagittal otoliths for age reading has led to unconfirmed longevity estimates near 20–30 years. Age validation has been elusive because large individuals are uncommonly caught, and a technique that can be applied to structures that provide estimates of age was absent. The use of otolith chemical signatures has been limited by sagittal otoliths that are very small — whole otolith mass of adult blue marlin rarely exceeds 10 mg for the largest fish. Recent advances in the detection limits of radiocarbon (14C) with accelerator mass spectrometry — coupled with recently acquired knowledge of marine bomb 14C signals spanning the tropical Pacific Ocean — have led to an opportunity to age blue marlin from small amounts of otolith material. In this study, otoliths from a recently collected 1245 lb (565 kg) female blue marlin at a measured 146-inch (371 cm) lower jaw fork length were analyzed for 14C. Estimated longevity was either 12–21 or 32–44 years on the basis of bomb 14C dating. Using multiple lines of evidence, it was determined that the young age scenario was most likely, with evidence for an age close to 20 years using a series of deductions in the bomb 14C dating method. Included in this data set is information on the radiocarbon from otoliths of one adult male and two juvenile blue marlin.
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Fish age validation study with bomb-produced radiocarbon (14C) conducted on yellowfin sole (Limanda aspera) and northern rockfish (Sebastes polyspinis) by Alaska Fisheries Science Center, Fisheries Monitoring and Analysis division from 1987-01-01 to 2004-01-01 (NCEI Accession 0134853)
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Fish age validation with bomb-produced radiocarbon (14C) requires a known-age Delta14C reference chronology spanning the era of a marine increase in bomb-produced 14C (1950s to 1960s). Concordance between otolith Delta14C in a validation sample and the reference chronology indicates accurate test ages. Here we compare a new Delta14C reference chronology from the eastern Bering Sea and a previously established reference from the Gulf of Alaska with otolith Delta14C in two validation species, eastern Bering Sea yellowfin sole (Limanda aspera) and Gulf of Alaska northern rockfish (Sebastes polyspinis). Our goals were twofold: to validate the age determination methods for northern rockfish and yellowfin sole using comparisons within oceanic basins, and to explore the outcome of making naive comparisons of these validation data sets to reference chronologies across oceanic basins. We present a information-theoretic approach to hypothesis testing and use Bayesian data analysis with Markov Chain Monte Carlo simulation as a probabilistic framework to quantitatively estimate age determination bias and its uncertainty. Based on within-basin comparisons we concluded that estimated ages for eastern Bering Sea yellowfin sole and Gulf of Alaska northern rockfish were accurate. We further concluded that there were important differences in otolith 14C uptake between fish from the two ocean basins
Life History Program Life History Estimates
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This data includes life history estimates (e.g. length-at-age, maturity status) generated by PIFSC LHP. Included in this data set are samples from fishery dependent and independent sources. The regions covered in the data set are from the North and South Pacific Ocean including the Hawaiian, Samoan, and Marianas Archipelagos. It contains the information used in LHP completed studies.
Radiocarbon ages measured 2011 to 2021 on corals, shells, and plant fragments pertaining to sea floods of the past 1,000 years on Anegada, British Virgin Islands
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This part of the data release provides an updated georeferenced list of radiocarbon ages pertaining to evidence for a catastrophic precolonial sea flood on Anegada, a low Caribbean island perched south of the Puerto Rico Trench. The list contains 64 ages measured on carbonate materials and 3 ages measured on plant fragments. Among the total of 67 ages, 43 are among the 47 ages previously tabulated on page 318 of https://doi.org/10.1130/GES01356.l. The 67 ages exclude those from previous work on deposits attributable to the 1755 Lisbon tsunami (https://doi.org/10.1007/s11069-010-9622-6). Among the 67 ages listed, the 24 ages previously unreported were measured mainly on samples collected in 2017. The main material dated is the aragonitic skeleton of coral boulders, particularly of the brain coral Pseudodiploria strigosa. Also dated are shells of the marine bivalve Codakia orbicularis (tiger lucine) and of the iconic Caribbean gastropod Aliger gigas (queen conch). All 67 ages were measured by the National Ocean Sciences Accelerator Mass Spectrometry (NOSAMS) laboratory in Woods Hole, Massachusetts. One pair of columns give the ages and one-standard-deviation error as reported, rounded to the nearest 5 radiocarbon years). A second pair expand the error term by adding variance, sample-by-sample, using a procedure described by the NOSAMS Staff (https://www2.whoi.edu/site/nosams/client-services/radiocarbon-data-calculations/). The added variance increases the error terms by factors ranging from 1.1 to 1.8, and averaging 1.4.
Radiocarbon age data from vibracores collected in Ozette Lake, Washington, in 2019
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Seismic reflection data and cores were collected in Ozette Lake, Washington, in 2019. Radiocarbon samples were taken from cores in select locations. These data were used to investigate submarine landslide deposits triggered by large Cascadia Subduction Zone earthquakes.
U-Pb SHRIMP zircon isotopic data for ages used on the Poncha Pass map
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U-Pb isotopic data from zircon measured using the SHRIMP-RG ion microprobe at Stanford University, CA. These data are used to calculate absolute ages of the samples from which the zircons were extracted. These samples are shown on the Poncha Pass map being submitted for publication (Minor et al.)
Radiocarbon age data from sediment cores collected offshore southern Cascadia, during field activity 2019-643-FA
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This dataset presents radiocarbon data from 87 samples from sediment cores collected in southern Cascadia (offshore northern California) aboard the M/V Bold Horizon in September-October 2019. Sample ages were determined by the National Ocean Sciences Accelerator Mass Spectrometry (NOSAMS) facility and the W.M. Keck Carbon Cycle Accelerator Mass Spectrometry (KCCAMS) facility at the University of California, Irvine (UCI).
Radiocarbon age dating of biological material from cores collected off central California in 1999, 2006, and 2019
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Results of radiocarbon age dating of planktic and benthic foraminifera collected from cores obtained in 1999, 2006, and 2019 offshore central California in the vicinity of Morro Bay.
Radiocarbon age dating of biological material from cores collected off British Columbia, Canada and southeastern Alaska, U.S. along the Queen Charlotte-Fairweather fault zone
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Results of radiocarbon age dating of planktic foraminifera, benthic foraminifera, and pelecypod shell fragments collected from piston cores, trigger weight cores, and IKU grab samples obtained in 2015 and 2017 offshore British Columbia, Canada and southeastern Alaska, U.S. along the Queen Charlotte-Fairweather fault zone.
Local radiocarbon reservoir age (Delta-R) variability from the nearshore and open-ocean environments of the Florida Keys reef tract during the Holocene and associated U-series and radiocarbon data (Marine13 Radiocarbon Calibration Curve)
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Holocene-aged corals from reef cores collected throughout the Florida Keys reef tract (FKRT) were dated using a combination of U-series and radiocarbon techniques to quantify the millennial-scale variability in the local radiocarbon reservoir age (ΔR) of the shallow water environments of south Florida. ΔR provides a measure of the deviation of local radiocarbon concentrations of marine environments from the global average and can be used as a tracer of oceanic circulation and local hydrology. U.S. Geological Survey (USGS) scientists combined coral-based estimates of ΔR, using statistical modeling, to reconstruct millennial-scale variability in ΔR at locations on the FKRT with (“nearshore”) and without (“open ocean”) terrestrial influence. USGS scientists also used the models to provide temporally-explicit estimates of ΔR that can be used in radiocarbon calibrations of marine samples from the region. For further information regarding data collection and analysis methods refer to Toth and others (2016, 2017). This research is a part of the USGS Coral Reef Ecosystem Studies Project (http://coastal.er.usgs.gov/crest/).
Local radiocarbon reservoir age (ΔR) variability from the nearshore and open-ocean environments of the Florida Keys reef tract during the Holocene and associated U-series and radiocarbon data (Marine20 Radiocarbon Calibration Curve)
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68 Holocene-aged corals from reef cores collected throughout the Florida Keys reef tract (FKRT) were dated using a combination of U-series and radiocarbon techniques to quantify the millennial-scale variability in the local radiocarbon reservoir age (ΔR) of the shallow water environments of south Florida. ΔR provides a measure of the deviation of local radiocarbon concentrations of marine environments from the global average and can be used as a tracer of oceanic circulation and local hydrology. U.S. Geological Survey (USGS) scientists combined coral-based estimates of ΔR, using statistical modeling, to reconstruct millennial-scale variability in ΔR at locations on the FKRT with (“nearshore”) and without (“open ocean”) terrestrial influence. USGS scientists also used the models to provide temporally-explicit estimates of ΔR that can be used in radiocarbon calibrations of marine samples from the region. In Version 1.0 of the USGS data release (Toth and others, 2017) associated with this metadata record, derivedthe coral-based estimates of ΔR were derived using data from the Marine13 radiocarbon calibration curve (Reimer and others, 2013). In version 2.0, the ΔR estimates were instead derived using the Marine20 radiocarbon calibration curve (Heaton and others, 2020). For further information regarding data collection and analysis methods refer to Toth and others (2017).