Updated age-depth model of sediment core PG1341 from Lake Lama in northern-central Siberia

DOI

Here we provide the updated age-depth model of sediment cores for Lake Lama (core PG1341) from arctic Siberia. The model provides the temporal information for a project on sedimentary ancient DNA shotgun sequencing (von Hippel et al., submitted). This dataset comprises the updated age-depth model for Lake Lama (Taymyr peninsula), based on the Accelerator Mass Spectrometry radiocarbon dating of 19 samples from the sediment core PG1341 (von Hippel et al., 2022) with the additional use of two dated woody remains from Andreev et al. (2004). The age-depth model was established using the R package 'Bacon', based on the IntCal13 calibration curve and dates back 23.000 years. An additional overlap of 145 cm was calculated between the core segments 5 and 6. This recalculation is based on the TOC data and magnetic susceptibility measured by Andreev et al. (2004). The dataset is the output of the bacon run and contains information about the depth of the sediment core and the corresponding minimum, maximum, median, and mean ages in calibrated years ka BP.

Identifier
DOI https://doi.org/10.1594/PANGAEA.963262
Related Identifier https://doi.org/10.1594/PANGAEA.963263
Related Identifier https://doi.org/10.1016/j.quaint.2004.01.032
Related Identifier https://doi.org/10.1594/PANGAEA.948180
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.963262
Provenance
Creator von Hippel, Barbara ORCID logo; Stoof-Leichsenring, Kathleen Rosmarie ORCID logo; Melles, Martin ORCID logo; Herzschuh, Ulrike ORCID logo
Publisher PANGAEA
Publication Year 2023
Funding Reference European Research Council https://doi.org/10.13039/501100000781 Crossref Funder ID 772852 doi:10.3030/772852 Glacial Legacy on the establishment of evergreen vs. summergreen boreal forests
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 6708 data points
Discipline Earth System Research
Spatial Coverage (90.268 LON, 69.555 LAT); Lama Lake