Pollen and non-pollen palynomorphs of the sediment core EN20001 from Lake Khamra

DOI

48 pollen samples from Lake Khamra were prepared using the established protocol with added Lycopodium marker spore tablets. To store samples and prepare microscopic slides, water-free glycerol was used. The palynomorphs were counted and identified using a light microscope AxioZeiss (400x magnifications). Besides pollen a variety of non-pollen palynomorphs, such as spores, fungi, algal and invertebrate remains, were also identified and counted when feasible.This study was additionally supported by a short-term grant (not numbered) from AWI Graduate School (POLMAR), and PhD Completion Scholarship (not numbered) provided by University of Potsdam.

Identifier
DOI https://doi.pangaea.de/10.1594/PANGAEA.963242
Related Identifier https://doi.pangaea.de/10.1594/PANGAEA.963238
Related Identifier https://doi.org/10.48433/BzPM_0756_2021
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.963242
Provenance
Creator Andreev, Andrei A ORCID logo; Baisheva, Izabella ORCID logo; Biskaborn, Boris K ORCID logo; Stoof-Leichsenring, Kathleen Rosmarie ORCID logo; Meucci, Stefano; Lu, Yang; Heim, Birgit ORCID logo; Ushnitskaya, Lena A ORCID logo; Davydova, Paraskovya V ORCID logo; Zakharov, Evgenii S; Pestryakova, Luidmila A ORCID logo; Dietze, Elisabeth ORCID logo; Herzschuh, Ulrike ORCID logo
Publisher PANGAEA
Publication Year 2024
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; German Academic Exchange Service https://doi.org/10.13039/501100001655 Crossref Funder ID 91775743 ; Russian scientific foundation https://doi.org/10.13039/501100006769 Crossref Funder ID 2023-0027
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 1107 data points
Discipline Earth System Research
Spatial Coverage (112.983 LON, 59.991 LAT); Lake Khamra, SW Yakutia, Russia
Temporal Coverage Begin 2020-03-10T00:00:00Z
Temporal Coverage End 2020-03-14T00:00:00Z