Wang, Rong; Ren, Jian; Diekmann, Bernhard: Bayesian age-depth model for IODP Site 341-U1419 (seg3), Gulf of Alaska [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.996889 (dataset in review), In: Wang, R et al.: Marine20-calibrated radiocarbon chronologies and Bayesian age-depth models for marine sediment cores from the subarctic North Pacific, 0-45 ka BP [dataset bundled publication]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.996868 (dataset in review)
Abstract:
This dataset provides the harmonized age-depth model for marine sediment record IODP-U1419 (seg3) from the Gulf of Alaska (59.530°N, 144.130°W; water depth 697 m). The modeled interval spans approximately 18,530 to 44,961 calibrated years BP. Published chronology constraints were screened for traceability and suitability and grouped into 45 independent dated-depth clusters. For this record, the project pre-calibrated the radiocarbon constraints with rintcal using Marine20 and the regional ΔR; calibrated calendar-age summaries were then passed to Bacon with cc = 0 ('cal_input_marine20_precal'). These are project-generated pre-calibrated inputs, not published legacy calendar ages. The published table contains the canonical 201-point posterior age product used in the North Pacific chronology framework, including posterior age estimates and chronological uncertainty through the modeled interval. The reconstruction is intended to provide a traceable and methodologically consistent chronology for comparison with other subarctic North Pacific sediment records; the accompanying bundle documents input provenance, exclusions, model settings, diagnostics, and interpretation limits.
Keyword(s):
Source:
Walczak, Maureen H; Mix, Alan C; Cowan, Ellen A; Fallon, Stewart J; Fifield, L Keith; Alder, Jay R; Du, Jianghui; Haley, Brian A; Hobern, Tim; Padman, June; Praetorius, Summer K; Schmittner, Andreas; Stoner, Joseph S; Zellers, Sarah D (2020): Phasing of millennial-scale climate variability in the Pacific and Atlantic Oceans. Science, 370(6517), 716-720, https://doi.org/10.1126/science.aba7096
References:
Heaton, Timothy J; Köhler, Peter; Butzin, Martin; Bard, Edouard; Reimer, Ron W; Austin, William EN; Ramsey, Christopher Bronk; Grootes, Pieter Meiert; Hughen, Konrad A; Kromer, Bernd; Reimer, Paula J; Adkins, Jess F; Burke, Andreas; Cook, Mea S; Olsen, Jesper; Skinner, Luke C (2020): Marine20 - the marine radiocarbon age calibration curve (0-55,000 cal BP). Radiocarbon, 62(4), 779-820, https://doi.org/10.1017/RDC.2020.68
Funding:
Second Institute of Oceanography, Ministry of Natural Resources, grant/award no. JG2510: The Scientific Research Fund of the Second Institute of Oceanography
Coverage:
Latitude: 59.532100 * Longitude: -144.133800
Minimum DEPTH, sediment/rock: 14.552 m * Maximum DEPTH, sediment/rock: 82.238 m
Event(s):
341-U1419 * Latitude: 59.532100 * Longitude: -144.133800 * Elevation: -697.9 m * Penetration: 629 m * Recovery: 487.86 m * Campaign: Exp341 (Southern Alaska Margin: Tectonics, Climate and Sedimentation) * Basis: Joides Resolution * Method/Device: Composite Core (COMPCORE) * Comment: 101 cores, 36.7 m drilled, 82.4% recovery
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Sample code/label | Sample label | Wang, Rong | Modeled interval label | ||
| 2 | DEPTH, sediment/rock | Depth sed | m | Wang, Rong | Geocode – Bacon posterior grid depth | |
| 3 | Calendar age, median | Cal age median | ka BP | Wang, Rong | Age, 14C calibrated, Bayesian model, rbacon | Posterior median calendar age |
| 4 | Calendar age, minimum/young | Cal age min | ka BP | Wang, Rong | Age, 14C calibrated, Bayesian model, rbacon | Lower/younger endpoint of reported 95% posterior interval |
| 5 | Calendar age, maximum/old | Cal age max | ka BP | Wang, Rong | Age, 14C calibrated, Bayesian model, rbacon | Upper/older endpoint of reported 95% posterior interval |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0) (License comes into effect after moratorium ends)
Size:
804 data points