Hardeng, Johannes; Bakke, Jostein (2022): Raw data of two lake sediment cores from southern Norway to reconstruct the frequency of palaeo floods [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.950707
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Published: 2022-11-15 • DOI registered: 2022-12-17
Abstract:
The data is from two separate sediment cores (LYP118 and LYG118) retrieved in November 2018 from the same coring location in Lake Lygne, southern Norway. LYP118 was retrieved using a piston corer equipped with a 6 m PCV-tube, whereas LYG118 was retrieved using a a UWITEC gravity corer equipped with a 2 m plastic tube. The purpose was to reconstruct palaeo floods from the Lygna river system by identifying flood layers in the sediment record. The sediment cores were stored in a refrigerated room (4 degrees C) prior to analysis. The attached data includes continuous magnetic susceptibility (MS) data measured at 0.2 cm intervals and continuous x-ray fluorescence (XRF) data measured at 0.05 cm intervals. Additionally, there are three images from a CT-scan, highlighting layers of low (0-5th percentile) and high (90-100th percentile) density. The grainsize, dry bulk density (DBD), and loss-on-ignition (LOI) data are from 1 cm samples collected at specific depth intervals (see column I for depth interval).
Keyword(s):
Supplement to:
Hardeng, Johannes; Bakke, Jostein; Sabatier, Pierre; Storen, Eivind; van der Bilt, Willem G M (2022): Lake sediments from southern Norway capture Holocene variations in flood seasonality. Quaternary Science Reviews, 290, 107643, https://doi.org/10.1016/j.quascirev.2022.107643
Coverage:
Latitude: 58.478800 * Longitude: 7.201300
Minimum Elevation: 184.0 m * Maximum Elevation: 184.0 m
Event(s):
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | File content | Content | Hardeng, Johannes | |||
| 2 | Binary Object | Binary | Hardeng, Johannes |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
36 data points