Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Garcin, Yannick; Schefuß, Enno; Dargie, Greta C; Hawthorne, Donna; Lawson, Ian T; Sebag, David; Biddulph, George E; Crezee, Bart; Bocko, Yannick E; Ifo, Suspense A; Mampouya Wenina, Emmanuel; Mbemba, Mackline; Ewango, Corneille; Emba, Ovide; Bola, Pierre; Kanyama Tabu, Joseph; Tyrrell, Genevieve; Young, Dylan M; Gassier, Ghislain; Girkin, Nicholas T; Vane, Christopher H; Adatte, Thierry; Baird, Andrew J; Boom, Arnoud; Gulliver, Pauline; Morris, Paul J; Page, Susan E; Sjögersten, Sofie; Lewis, Simon L (2022): Bulk organic data of core EKG03 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.938007, In: Garcin, Y et al. (2022): Palaeo-environmental and -climatic data from core CEN-17.4 from the central Congo peatlands, Likouala Department (1°11'0.49"N, 17°38'23.7"E) and data from supporting cores [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.938019

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX CitationShow MapGoogle Earth

Keyword(s):
central Congo; hydrology; organic matter; peat; plant waxes; Pollen; Vegetation
Funding:
Agence Nationale de la Recherche (ANR), grant/award no. ANR-19-CE01-0022: ORACLE-ANR
German Research Foundation (DFG), grant/award no. SCHE903/19-1: ORACLE-DFG
Natural Environment Research Council (NERC), grant/award no. NE/R016860/1: CongoPeat
Coverage:
Latitude: 1.188250 * Longitude: 17.831472
Minimum DEPTH, sediment/rock: 0.000 m * Maximum DEPTH, sediment/rock: 1.520 m
Event(s):
EKG03 * Latitude: 1.188250 * Longitude: 17.831472 * Method/Device: Russian peat corer (RPC) * Comment: Congo Sampling Expedition 2019
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1DEPTH, sediment/rockDepth sedmBoom, ArnoudGeocode
2Carbon, organic, totalTOC%Boom, ArnoudElement analyser (EA)
3Nitrogen, totalTN%Boom, Arnoud
4Carbon/Nitrogen ratioC/NBoom, Arnoud
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
54 data points

Download Data

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

View dataset as HTML