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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 SO130-275KL [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.853969, 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: 24.816667 * Longitude: 65.916667
Date/Time Start: 1998-04-19T05:40:00 * Date/Time End: 1998-04-19T05:40:00
Minimum DEPTH, sediment/rock: 0.0100 m * Maximum DEPTH, sediment/rock: 1.6625 m
Event(s):
SO130_275KL * Latitude: 24.816667 * Longitude: 65.916667 * Date/Time: 1998-04-19T05:40:00 * Elevation: -782.0 m * Recovery: 17.88 m * Campaign: SO130 (MAKRAN 2) * Basis: Sonne * Method/Device: Piston corer (BGR type) (KL) * Comment: critical stratigrapic/Paleoclimatological core
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:
1760 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)
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1.63752.0246-74.60.1551-0.610624.6226.2024.6424.6425.02
1.64252.0331-83.10.1211-0.522124.5226.2824.5124.6424.99
1.64752.0415-91.50.1379-0.431124.9626.7224.8324.6325.29
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