Mingram, Jens; Stebich, Martina; Schettler, Georg; Hu, Yaqin; Dulski, Peter; Nowaczyk, Norbert R; Liu, Qiang; Liu, Jiaqi; You, Haitao; Opitz, Stephan; Rioual, Patrick (2018): Varve age replicates of Lake Sihailongwan sediment cores [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.895286, In supplement to: Mingram, Jens; Stebich, Martina; Schettler, Georg; Hu, Yaqin; Rioual, Patrick; Nowaczyk, Norbert R; Dulski, Peter; You, Haitao; Opitz, Stephan; Liu, Qiang; Liu, Jiaqi (2018): Millennial-scale East Asian monsoon variability of the last glacial deduced from annually laminated sediments from Lake Sihailongwan, N.E. China. Quaternary Science Reviews, 201, 57-76, https://doi.org/10.1016/j.quascirev.2018.09.023
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Project(s):
Coverage:
Latitude: 42.283300 * Longitude: 126.600000
Date/Time Start: 2001-06-30T00:00:00 * Date/Time End: 2001-06-30T00:00:00
Minimum Elevation: 797.0 m * Maximum Elevation: 797.0 m
Event(s):
SHL (Sihailongwan Maar Lake) * Latitude: 42.283300 * Longitude: 126.600000 * Date/Time: 2001-06-30T00:00:00 * Elevation: 797.0 m * Location: Changbai Mountains region, Jilin Province, NE China * Method/Device: Composite Core (COMPCORE) * Comment: Nearly circular, maximum water depth: ~50 m, diameter: 720 m, lake surface area: 0.4 km**2, catchment area: ca. 0.7 km**2
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Sample code/label | Sample label | Mingram, Jens | SHL core label | ||
| 2 | Stratigraphy | Stratigraphy | Mingram, Jens | |||
| 3 | Varve age | Varve age | a BP | Mingram, Jens | first count (j.M.) | |
| 4 | Varve age | Varve age | a BP | Mingram, Jens | second count | |
| 5 | Difference | Diff | Mingram, Jens | varve age a BP | ||
| 6 | Varve age | Varve age | a BP | Mingram, Jens | mean | |
| 7 | Error, relative | Error r | % | Mingram, Jens | varve age, comparable to Sigma-2 | |
| 8 | Varve quality index | VQI | Mingram, Jens | mean | ||
| 9 | Varve type | Varve type | Mingram, Jens | mean |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
57 data points