Rudaya, Natalia (2020): Age-depth relation of sediment core Tel2006 Lake Teletskoye, Altai Mountains, south-eastern West Siberia, Russia [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.914485, In: Rudaya, N (2020): Pollen data frome Lake Teletskoye, Altai Mountains, south-eastern West Siberia, Russia, with age-depth model [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.914490
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Related to:
Rudaya, Natalia; Nazarova, Larisa B; Novenko, Elena Y; Andreev, Andrei A; Kalugin, Ivan A; Daryin, Andrei V; Babich, Valery V; Li, Hong-Chun; Shilov, Pavel (2016): Quantitative reconstructions of mid- to late holocene climate and vegetation in the north-eastern Altai mountains recorded in lake Teletskoye. Global and Planetary Change, 141, 12-24, https://doi.org/10.1016/j.gloplacha.2016.04.002
Coverage:
Latitude: 51.749830 * Longitude: 87.623570
Minimum DEPTH, sediment/rock: 0.000 m * Maximum DEPTH, sediment/rock: 1.940 m
Event(s):
Tel2006 (Teletskoye) * Latitude: 51.749830 * Longitude: 87.623570 * Lake water depth: 90 m * Recovery: 1.94 m * Location: Altai Mountains, Russia * Method/Device: Gravity corer (GC) * Comment: Gear: 100-mm gravity corer equipped with a blade catcher; Date: 2006; Lithology: bluish-grey to dark-green finely laminated clays and silts, undisturbed horizontal layers (varves) without any traces of bioturbation
Comment:
For calculation wmean was used. Reason: see control 210Pb.
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | DEPTH, sediment/rock | Depth sed | m | Rudaya, Natalia | Geocode | |
2 | Age, minimum/young | Age min | ka | Rudaya, Natalia | Age model, Bacon (Blaauw & Christen, 2011) | |
3 | Age, maximum/old | Age max | ka | Rudaya, Natalia | Age model, Bacon (Blaauw & Christen, 2011) | |
4 | Age model | Age model | ka | Rudaya, Natalia | Age model, Bacon (Blaauw & Christen, 2011) | median |
5 | Age model | Age model | ka | Rudaya, Natalia | Age model, Bacon (Blaauw & Christen, 2011) | mean |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
7764 data points
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