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Devendra, Dhanushka; Łącka, Magdalena; Szymańska, Natalia; Nethupul, Hasitha; Pawłowska, Joanna; Szymczak- Zyła, Małgorzata; Krajewska, Magdalena; De Silva, Prasadi; Bondevik, Stein; Gibbons, Steven J (2025): Relative abundances of terrestrial plants in sediment core OCE2022-KV02-GC [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.984599, In: Devendra, D et al. (2025): Multi-proxy analyses of sediment core OCE2022-KV02-GC [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.984600

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Published: 2025-08-28DOI registered: 2025-08-28

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Keyword(s):
Barents Sea; sedaDNA; Sedimentology; simulation; Storegga Slide Tsunami; terrestrial biomarkers
Related to:
Devendra, Dhanushka; Łącka, Magdalena; Szymańska, Natalia; Nethupul, Hasitha; Pawłowska, Joanna; Szymczak- Zyła, Małgorzata; Krajewska, Magdalena; De Silva, Prasadi; Bondevik, Stein; Gibbons, Steven J; Zajączkowski, Marek (2025): Expanding the footprint of the Storegga tsunami through new evidence from Arctic marine sediments. Scientific Reports, 15(1), 24809, https://doi.org/10.1038/s41598-025-10811-7
Funding:
National Science Centre Poland (NCN), grant/award no. 2022/45/B/ST10/02033
National Science Centre Poland (NCN), grant/award no. 2022/47/B/ST10/03050
National Science Centre Poland (NCN), grant/award no. 2023/51/B/ST10/01579
Coverage:
Latitude: 74.838267 * Longitude: 16.022338
Date/Time Start: 2022-08-30T17:00:00 * Date/Time End: 2022-08-30T17:00:00
Minimum DEPTH, sediment/rock: 0.21 m * Maximum DEPTH, sediment/rock: 0.73 m
Event(s):
OCE2022-KV02-GC * Latitude: 74.838267 * Longitude: 16.022338 * Date/Time: 2022-08-30T17:00:00 * Elevation: -374.0 m * Location: Northwestern Barents Sea * Campaign: AREX2022 * Basis: Oceania * Method/Device: Gravity corer (GC)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
DEPTH, sediment/rockDepth sedmDevendra, DhanushkaGeocode
Terrestrial plantsTer plant%Devendra, DhanushkaSedimentary ancient DNA (sedaDNA)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
15 data points

Data

Download dataset as tab-delimited text — use the following character encoding:


Depth sed [m]

Ter plant [%]
0.210.00135
0.250.00000
0.290.00107
0.330.00000
0.370.00061
0.410.23382
0.430.14906
0.450.00000
0.490.00000
0.550.34257
0.570.00000
0.610.00463
0.650.00000
0.690.04844
0.730.00000