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Data Publisher for Earth & Environmental Science

Munz, Philipp; Siccha, Michael; Lückge, Andreas; Böll, Anna; Kucera, Michal; Schulz, Heide (2015): Winter sea surface temperature reconstruction from planktic foraminiferal transfer functions of sediment core SO90-39KG [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.853970, In supplement to: Munz, Philipp; Siccha, Michael; Lückge, Andreas; Böll, Anna; Kucera, Michal; Schulz, Hartmut (2015): Decadal-resolution record of winter monsoon intensity over the last two millennia from planktic foraminiferal assemblages in the northeastern Arabian Sea. The Holocene, 25(11), 1756-1771, https://doi.org/10.1177/0959683615591357

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Coverage:
Latitude: 24.833000 * Longitude: 65.933000
Date/Time Start: 1993-09-08T00:00:00 * Date/Time End: 1993-09-08T00:00:00
Minimum DEPTH, sediment/rock: 0.0075 m * Maximum DEPTH, sediment/rock: 0.1425 m
Event(s):
SO90_39KG * Latitude: 24.833000 * Longitude: 65.933000 * Date/Time: 1993-09-08T00:00:00 * Elevation: -695.0 m * Recovery: 0.45 m * Location: Arabian Sea * Campaign: SO90 (PAKOMIN) * Basis: Sonne * Method/Device: Box corer (Reineck) (BCR)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
DEPTH, sediment/rockDepth sedmSchulz, HartmutGeocode
AGEAgeka BPSchulz, HartmutGeocode
AgeAgea AD/CESchulz, Hartmut
Bray-Curtis dissimilarities, minimumB-C dissim min%Schulz, HartmutTransfer Function Technique (TFT)
Principal component 1PC1ScoreSchulz, HartmutTransfer Function Technique (TFT)
Sea surface temperature, January-MarchSST (1-3)°CSchulz, HartmutTransfer Function Technique (TFT)Weighted Averaging-Partial Least Squares
Sea surface temperature, January-MarchSST (1-3)°CSchulz, HartmutTransfer Function Technique (TFT)Maximum Likelihood Response Curve
Sea surface temperature, January-MarchSST (1-3)°CSchulz, HartmutTransfer Function Technique (TFT)Artificial Neural Networks
Sea surface temperature, January-MarchSST (1-3)°CSchulz, HartmutTransfer Function Technique (TFT)Imbrie and Kipp
10 Sea surface temperature, January-MarchSST (1-3)°CSchulz, HartmutTransfer Function Technique (TFT)Consenus
Size:
80 data points

Data

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


Depth sed [m]

Age [ka BP]

Age [a AD/CE]

B-C dissim min [%]

PC1 [Score]

SST (1-3) [°C]
(Weighted Averaging-Partial Le...)

SST (1-3) [°C]
(Maximum Likelihood Response C...)

SST (1-3) [°C]
(Artificial Neural Networks)

SST (1-3) [°C]
(Imbrie and Kipp)
10 
SST (1-3) [°C]
(Consenus)
0.0075-0.03921989.20.10460.156023.9623.5023.8923.9223.82
0.0225-0.02961979.60.09090.153023.9623.5523.9023.8523.82
0.0375-0.02041970.40.08600.426923.7523.4223.8123.8223.70
0.0525-0.01011960.10.09100.258123.7823.5923.8523.8323.76
0.06750.00091949.10.11210.361423.8623.4923.9823.9323.82
0.08250.01091939.10.15020.311923.9223.8424.0424.0923.97
0.09750.01981930.20.13480.130723.7623.6523.8624.1223.85
0.11250.03151918.50.1003-0.165724.0823.5324.1124.2323.99
0.12750.04001910.00.09000.272923.8723.3623.9623.9523.78
0.14250.04811901.90.17310.080023.9824.3924.1524.2024.18