Harmonized chronologies of a global late Quaternary pollen dataset (LegacyAge 1.0)

This dataset presents global revised age models for taxonomically harmonized fossil pollen records. The age-depth models were established from mostly Intcal20-calibrated radiocarbon datings with a predefined parameter setting. 1032 sites are located in North America, 1075 sites in Europe, 488 sites...

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Bibliographic Details
Main Authors: Li, Chenzhi, Postl, Alexander, Böhmer, Thomas, Dolman, Andrew M, Herzschuh, Ulrike
Format: Dataset
Language:English
Published: PANGAEA - Data Publisher for Earth & Environmental Science 2021
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.933132
https://doi.pangaea.de/10.1594/PANGAEA.933132
Description
Summary:This dataset presents global revised age models for taxonomically harmonized fossil pollen records. The age-depth models were established from mostly Intcal20-calibrated radiocarbon datings with a predefined parameter setting. 1032 sites are located in North America, 1075 sites in Europe, 488 sites in Asia. In the Southern Hemisphere, there are 150 sites in South America, 54 in Africa, and 32 in the Indopacific region. Datings, mostly C14, were retrieved from the Neotoma Paleoecology Database (https://www.neotomadb.org/), with additional data from Cao et al. (2020; https://doi.org/10.5194/essd-12-119-2020), Cao et al. (2013, https://doi.org/10.1016/j.revpalbo.2013.02.003) and our own collection. The related age records were revised by applying a similar approach, i.e., using the Bayesian age-depth modeling routine in R-BACON software.We complement the data publication by providing the source information on the references (most data are related to Neotoma) as a table linked to each Dataset ID. The data set and site IDs are from Neotoma if the data sets are derived from the Neotoma repository. In case of our own data collection efforts (Cao et al. (2020), Cao et al. (2013) and our own data), we used the already published PANGAEA event names in case they are related to the data or created our own site names with referencing to geographical regions similar to the Neotoma data naming principle.