Mulitza, Stefan (2014): 05. 14C-AMS dates from sediment core GeoB7010-2 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.831639, In supplement to: Govin, Aline; Chiessi, Cristiano Mazur; Zabel, Matthias; Sawakuchi, André Oliveira; Heslop, David; Hörner, Tanja; Zhang, Yancheng; Mulitza, Stefan (2014): Terrigenous input off northern South America driven by changes in Amazonian climate and the North Brazil Current retroflection during the last 250 ka. Climate of the Past, 10, 843-862, https://doi.org/10.5194/cp-10-843-2014
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Project(s):
Integrierte Analyse zwischeneiszeitlicher Klimadynamik (INTERDYNAMIK)
Funding:
German Research Foundation (DFG), grant/award no. 25575884: Integrierte Analyse zwischeneiszeitlicher Klimadynamik
Coverage:
Latitude: 8.570000 * Longitude: -53.205000
Date/Time Start: 2001-04-21T15:13:00 * Date/Time End: 2001-04-21T15:13:00
Minimum DEPTH, sediment/rock: 0.42 m * Maximum DEPTH, sediment/rock: 3.45 m
Event(s):
GeoB7010-2 * Latitude: 8.570000 * Longitude: -53.205000 * Date/Time: 2001-04-21T15:13:00 * Elevation: -2549.0 m * Recovery: 8.12 m * Campaign: M49/4 * Basis: Meteor (1986) * Method/Device: Gravity corer (GC)
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | DEPTH, sediment/rock | Depth sed | m | Geocode | ||
| 2 | Laboratory code/label | Lab label | Mulitza, Stefan | Laboratory number | ||
| 3 | Age, dated material | Dated material | Mulitza, Stefan | Planktic foraminiferal species | ||
| 4 | Age, dated | Age dated | ka | Mulitza, Stefan | Age, 14C AMS | |
| 5 | Age, dated standard deviation | Age dated std dev | ± | Mulitza, Stefan | Age, 14C AMS | 1 sigma error |
| 6 | Calendar age | Cal age | ka BP | Mulitza, Stefan | Age, 14C calibrated, CALIB 6.1.0 (Stuiver et al., 2014) and Marine09 calibration | Reservoir age of 400 a |
| 7 | Calendar age, standard error | Cal age std e | ± | Mulitza, Stefan | Age, 14C calibrated, CALIB 6.1.0 (Stuiver et al., 2014) and Marine09 calibration | 1 sigma error |
License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Size:
42 data points