File(s) | Type | Description | Action |
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908387_v1_atlantic-sediment-radiocarbon.csv (2.33 KB) | Comma Separated Values (.csv) | Primary data table for dataset 908387 version 1. | Add to Cart Download |
These data include the sediment radiocarbon analysis for Amazon Delta and Sierra Leone Rise Sediments. These data were collected on multiple cruises in throughout the Atlantic; specifically, in the Amazon Delta (EN-480; July 2010) and Sierra Leone Rise (EN-481; August 2010). Sediments were collected using multi-corer and kept frozen until analysis. Radiocarbon was measured for the Amazon Delta and Sierra Leone Rise regions at the National Ocean Sciences-Accelerator Mass Spectrometry (NOSAMS) fa...
Show moreSediment samples were collected via a 4-barrel multi-corer (R/V Endeavor, segmented into 1-2 cm sections, dried in a drying oven (35°C) and homogenized via mortar and pestle. Sediments were decalcified using 10% hydrochloric acid. Black carbon was isolated using the chemothermal oxidation at 375°C method.
Radiocarbon data were analyzed at the National Ocean Sciences Accelerator Mass Spectrometry Facility (NOSAMS) at the Woods Hole Oceanic Institute using the “reconnaissance” method as described by Burke et al., 2010 and McIntyre et al., 2011. The blank-corrected fraction modern is also reported as described by Burke et al., 2010. The AMS is a commissioned continuous-flow AMS system.
Instruments:
Both the total organic carbon (~0.10 to 0.35 mgC) and black carbon (~0.15 to 0.80 mgC) samples were combusted into carbon dioxide using a modified elemental analyzer and then converted to graphite using a zinc reduction method before analysis on an Accelerator Mass Spectrometer.
LOCATION:
Amazon Delta (approximately: 4 N, 47 W; 2400-3500m); Sierra Leone Rise (approximately: 7 N, 20 W; 2800-3800m).
St. Laurent, K. A., Lohmann, R. (2023) Atlantic sediment radiocarbon from mult-corer samples collected in the Amazon Delta and Sierra Leone Rise during R/V Endeavor cruises EN-480 and EN-481 in 2010. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-09-14 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.908387.1 [access date]
Terms of Use
This dataset is licensed under Creative Commons Attribution 4.0.
If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.