Biomarker data of Core CB1 from the Cygnet Bay, north-western Australia

The sediment core was collected from a pearl aquaculture area, northwest Australia using a push corer by SCUBA divers in 2011. After collections, the core was sectioned into sub-samples at 1 cm intervals, weighed and freeze dried before being reweighed and then stored in a freezer at -20°C before biomarker analysis. The chronology used 210Pb and 137Cs radiometric-dating techniques, which generated a sedimentation rate of 1.11 cm/yr. The sterol and long chain n-alkane contents were determined by GC (Agilent 7890 A) with an FID detector and a HP-1 column . The GDGTs contents used for calculating TEX86H index were determined by HPLC-MS (Agilent 1200/Waters Micromass-Quattro UltimaTM Pt) with APCI probe and Prevail Cyano Column.

Data and Resources

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Cite this as

Yuan, Zineng, Keesing, John K, Liu, Dongyan (2022). Dataset: Biomarker data of Core CB1 from the Cygnet Bay, north-western Australia. https://doi.org/10.1594/PANGAEA.944532

DOI retrieved: 2022

Additional Info

Field Value
Imported on November 30, 2024
Last update November 30, 2024
License CC-BY-4.0
Source https://doi.org/10.1594/PANGAEA.944532
Author Yuan, Zineng
Given Name Zineng
Family Name Yuan
More Authors
Keesing, John K
Liu, Dongyan
Source Creation 2022
Publication Year 2022
Resource Type text/tab-separated-values - filename: Yuan-etal_2022
Subject Areas
Name: Ecology

Related Identifiers
Title: The Application of an Artificial Neural Network to Quantify Anthropogenic and Climatic Drivers in Coastal Phytoplankton Shift
Identifier: https://doi.org/10.3389/fmars.2022.904461
Type: DOI
Relation: References
Year: 2022
Source: Frontiers in Marine Science
Authors: Yuan Zineng , Keesing John K , Liu Dongyan .