Age-depth model for Lake Lama in northern Siberia ...

This dataset comprises the age-depth model for Lake Lama (Taymyr peninsula), based on the Accelerator Mass Spectrometry radiocarbon dating of 19 samples from the sediment core PG1341 with the additional use of two dated woody remains from Andreev et al. (2004). The age-depth model was established us...

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Main Authors: von Hippel, Barbara, Stoof-Leichsenring, Kathleen Rosmarie, Schulte, Luise, Seeber, Peter A, Epp, Laura Saskia, Biskaborn, Boris K, Diekmann, Bernhard, Melles, Martin, Pestryakova, Luidmila A, Herzschuh, Ulrike
Format: Dataset
Language:English
Published: PANGAEA 2022
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.948173
https://doi.pangaea.de/10.1594/PANGAEA.948173
id ftdatacite:10.1594/pangaea.948173
record_format openpolar
spelling ftdatacite:10.1594/pangaea.948173 2024-09-15T18:38:48+00:00 Age-depth model for Lake Lama in northern Siberia ... von Hippel, Barbara Stoof-Leichsenring, Kathleen Rosmarie Schulte, Luise Seeber, Peter A Epp, Laura Saskia Biskaborn, Boris K Diekmann, Bernhard Melles, Martin Pestryakova, Luidmila A Herzschuh, Ulrike 2022 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.948173 https://doi.pangaea.de/10.1594/PANGAEA.948173 en eng PANGAEA https://dx.doi.org/10.1594/pangaea.948180 https://dx.doi.org/10.1016/j.quaint.2004.01.032 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 accelerator mass spectrometry AMS Age model Arctic Russia Ecology & Environment Geosciences, Multidisciplinary Glacial Holocene Lake sediment Sediment cores Siberia Taymyr DEPTH, sediment/rock Calendar age, minimum/young Calendar age, maximum/old Calendar age, median Calendar age, mean Composite Core Age, 14C calibrated, IntCal13 with Bacon 2.2 Blaauw and Christen, 2011 RU-Land_1997_Norilsk AWI Arctic Land Expedition dataset Dataset 2022 ftdatacite https://doi.org/10.1594/pangaea.94817310.1594/pangaea.94818010.1016/j.quaint.2004.01.032 2024-08-01T10:54:59Z This dataset comprises the age-depth model for Lake Lama (Taymyr peninsula), based on the Accelerator Mass Spectrometry radiocarbon dating of 19 samples from the sediment core PG1341 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. 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. ... Dataset Taymyr Taymyr Peninsula Siberia DataCite
institution Open Polar
collection DataCite
op_collection_id ftdatacite
language English
topic accelerator mass spectrometry AMS
Age model
Arctic Russia
Ecology & Environment
Geosciences, Multidisciplinary
Glacial
Holocene
Lake sediment
Sediment cores
Siberia
Taymyr
DEPTH, sediment/rock
Calendar age, minimum/young
Calendar age, maximum/old
Calendar age, median
Calendar age, mean
Composite Core
Age, 14C calibrated, IntCal13 with Bacon 2.2 Blaauw and Christen, 2011
RU-Land_1997_Norilsk
AWI Arctic Land Expedition
spellingShingle accelerator mass spectrometry AMS
Age model
Arctic Russia
Ecology & Environment
Geosciences, Multidisciplinary
Glacial
Holocene
Lake sediment
Sediment cores
Siberia
Taymyr
DEPTH, sediment/rock
Calendar age, minimum/young
Calendar age, maximum/old
Calendar age, median
Calendar age, mean
Composite Core
Age, 14C calibrated, IntCal13 with Bacon 2.2 Blaauw and Christen, 2011
RU-Land_1997_Norilsk
AWI Arctic Land Expedition
von Hippel, Barbara
Stoof-Leichsenring, Kathleen Rosmarie
Schulte, Luise
Seeber, Peter A
Epp, Laura Saskia
Biskaborn, Boris K
Diekmann, Bernhard
Melles, Martin
Pestryakova, Luidmila A
Herzschuh, Ulrike
Age-depth model for Lake Lama in northern Siberia ...
topic_facet accelerator mass spectrometry AMS
Age model
Arctic Russia
Ecology & Environment
Geosciences, Multidisciplinary
Glacial
Holocene
Lake sediment
Sediment cores
Siberia
Taymyr
DEPTH, sediment/rock
Calendar age, minimum/young
Calendar age, maximum/old
Calendar age, median
Calendar age, mean
Composite Core
Age, 14C calibrated, IntCal13 with Bacon 2.2 Blaauw and Christen, 2011
RU-Land_1997_Norilsk
AWI Arctic Land Expedition
description This dataset comprises the age-depth model for Lake Lama (Taymyr peninsula), based on the Accelerator Mass Spectrometry radiocarbon dating of 19 samples from the sediment core PG1341 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. 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. ...
format Dataset
author von Hippel, Barbara
Stoof-Leichsenring, Kathleen Rosmarie
Schulte, Luise
Seeber, Peter A
Epp, Laura Saskia
Biskaborn, Boris K
Diekmann, Bernhard
Melles, Martin
Pestryakova, Luidmila A
Herzschuh, Ulrike
author_facet von Hippel, Barbara
Stoof-Leichsenring, Kathleen Rosmarie
Schulte, Luise
Seeber, Peter A
Epp, Laura Saskia
Biskaborn, Boris K
Diekmann, Bernhard
Melles, Martin
Pestryakova, Luidmila A
Herzschuh, Ulrike
author_sort von Hippel, Barbara
title Age-depth model for Lake Lama in northern Siberia ...
title_short Age-depth model for Lake Lama in northern Siberia ...
title_full Age-depth model for Lake Lama in northern Siberia ...
title_fullStr Age-depth model for Lake Lama in northern Siberia ...
title_full_unstemmed Age-depth model for Lake Lama in northern Siberia ...
title_sort age-depth model for lake lama in northern siberia ...
publisher PANGAEA
publishDate 2022
url https://dx.doi.org/10.1594/pangaea.948173
https://doi.pangaea.de/10.1594/PANGAEA.948173
genre Taymyr
Taymyr Peninsula
Siberia
genre_facet Taymyr
Taymyr Peninsula
Siberia
op_relation https://dx.doi.org/10.1594/pangaea.948180
https://dx.doi.org/10.1016/j.quaint.2004.01.032
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.1594/pangaea.94817310.1594/pangaea.94818010.1016/j.quaint.2004.01.032
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