Bonk, Alicja; Piotrowska, Natalia; Żarczyński, Maurycy; Enters, Dirk; Makohonienko, Mirosław; Rzodkiewicz, Monika; Tylmann, Wojciech (2023): Chronology determination of the last 3000 years from Lake Lubińskie in western Poland [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.961059, In: Bonk, A et al. (2023): Chronology, pollan, diatom, and geochemical data covering the last 3000 years of the Lake Lubińskie varved record (western Poland) [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.961064
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Abstract:
This chronology dataset contains five columns: depth sed [m], Age [a AD/CE], Age [ka BP], Age min [a AD/CE], and Age max [a AD/CE]. The age-depth model was developed through Bayesian modelling from 2007 CE (the year of coring) down to 428 cm (75 ± 90 BCE). Below this depth, the extrapolation is based on varve counting: 871 varve years were added to extend the age-depth model to the bottom of the profile.
Keyword(s):
Funding:
National Science Centre Poland, grant/award no. 2019/32/C/ST10/00038: Investigating fire history in Poland over the last 2000 years using annually laminated lake sediments
Coverage:
Latitude: 52.308300 * Longitude: 14.908300
Date/Time Start: 2007-09-08T11:00:00 * Date/Time End: 2007-09-08T11:00:00
Minimum DEPTH, sediment/rock: 0.0061 m * Maximum DEPTH, sediment/rock: 5.0620 m
Event(s):
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | DEPTH, sediment/rock | Depth sed | m | Bonk, Alicja | Geocode | |
2 | Age | Age | a AD/CE | Bonk, Alicja | Age model, Bayesian | |
3 | AGE | Age | ka BP | Bonk, Alicja | Age model, Bayesian | Geocode |
4 | Age, minimum/young | Age min | a AD/CE | Bonk, Alicja | Age model, Bayesian | |
5 | Age, maximum/old | Age max | a AD/CE | Bonk, Alicja | Age model, Bayesian |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
7629 data points
Download Data
View dataset as HTML (shows only first 2000 rows)