Publication Date:
2022-01-27
Description:
Abstract
Description:
The data result from a sedimentological and geochemical multiproxy approach to study a Holocene palaeolake record north of Tayma, NW Saudi Arabia. The lacustrine, partly varved record was analysed in the frame of the DFG founded project CLEAR “Holocene climatic events in Northern Arabia - Environmental changes and human response”.
The Tayma palaeolake record comprises continuous lacustrine sediments covering the early to mid-Holocene. The dataset allows detailed palaeoenvironmental and palaeoclimate interpretations from the early Holocene humid period and subsequent dryer conditions during the mid-Holocene.
The dataset is part of the supplementary material to “Neugebauer et al. (submitted)” where further details about the locality, core composite, age model, sampling and analytical methods and data processing are given. The data are provided in individual xlsx-files per type of data.
The different files include sedimentological and geochemical data determined on the ca. 6 m long master core from the sediment cores (Tay 220/221 and Tay 253/254/255/256): (i) sediment core microfacies data, (ii) bulk total organic carbon (TOC) and carbonate delta13C_carb and delta18O_carb data, (iii) single aragonite laminae delta13C_arag and delta18O_arag data, (iv) concentrations of n-alkanes n-C29 and n-C31 and hydrogen isotope composition deltaD, (v) XRF core scanning data. All data are provided on composite depths and age scales (based on Bayesian age modelling of radiocarbon dates, varve counting and one tephrochronological anchor; see details in the Supplementary material of Neugebauer et al., submitted).
Keywords:
paleoclimate
;
paleolake
;
Early Holocene humid period
;
stable isotopes
;
biomarker
;
microfacies
;
XRF scanning
;
Saudi Arabia
;
EARTH SCIENCE 〉 CLIMATE INDICATORS 〉 PALEOCLIMATE INDICATORS 〉 OCEAN/LAKE RECORDS 〉 ISOTOPES
;
EARTH SCIENCE 〉 PALEOCLIMATE 〉 OCEAN/LAKE RECORDS 〉 VARVE DEPOSITS
;
EARTH SCIENCE 〉 PALEOCLIMATE 〉 PALEOCLIMATE RECONSTRUCTIONS 〉 DROUGHT/PRECIPITATION RECONSTRUCTION
Type:
Dataset
,
Dataset
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