Lee, An-Sheng; Enters, Dirk; Titschack, Jürgen; Zolitschka, Bernd (2020): Magnetic susceptibility down-core scanning profiles of sediments from the East Frisian Wadden Sea, Germany [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.920017, In: Lee, A-S et al. (2020): Multiple down-core scanning profiles of sediments from the East Frisian Wadden Sea (Germany) [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.920071
Always quote citation above when using data! You can download the citation in several formats below.
Published: 2020-07-10 • DOI registered: 2021-03-23
Related to:
Lee, An-Sheng; Enters, Dirk; Titschack, Jürgen; Zolitschka, Bernd (2021): Facies characterisation of sediments from the East Frisian Wadden Sea (Germany): new insights from down-core scanning techniques. Netherlands Journal of Geosciences, 100, https://doi.org/10.1017/njg.2021.6
Project(s):
Wadden Sea Archive project (WASA)
Funding:
Niedersächsisches Ministerium für Wissenschaft und Kultur, grant/award no. ZN3197: Wadden Sea Archive project
Coverage:
Median Latitude: 53.708474 * Median Longitude: 7.166078 * South-bound Latitude: 53.682840 * West-bound Longitude: 7.111546 * North-bound Latitude: 53.759844 * East-bound Longitude: 7.232223
Date/Time Start: 2016-09-20T00:00:00 * Date/Time End: 2017-09-28T00:00:00
Event(s):
N14_l * Latitude: 53.710480 * Longitude: 7.134310 * Date/Time: 2016-11-23T00:00:00 * Location: East Frisian Wadden Sea, Germany * Method/Device: Sediment corer (SEDCO)
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Event label | Event | Lee, An-Sheng | |||
| 2 | Latitude of event | Latitude | Lee, An-Sheng | |||
| 3 | Longitude of event | Longitude | Lee, An-Sheng | |||
| 4 | Section | Sect | Lee, An-Sheng | |||
| 5 | Facies name/code | Facies | Lee, An-Sheng | |||
| 6 | Section position | Sect | cm | Lee, An-Sheng | section depth | |
| 7 | Magnetic susceptibility, volume | kappa | 10-6 SI | Lee, An-Sheng |
License:
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC-BY-NC-SA-4.0)
Size:
3944 data points
Download Data
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