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

Repschläger, Janne (2019): Sea surface temperature calculations from sediment core GEOFAR KF16 upper 2 m [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.905362, In: Repschläger, J (2019): Foraminifera abundance and SST calculations from sediment core GEOFAR KF16 and MD08-3180 [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.905366

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

RIS CitationBibTeX CitationShow MapGoogle Earth

Keyword(s):
SIMMAX; SST
Related to:
Repschläger, Janne; Weinelt, Mara; Schneider, Ralph R; Blanz, Thomas; Leduc, Guillaume; Schiebel, Ralf; Haug, Gerald H (2023): Disentangling multiproxy temperature reconstructions from the subtropical North Atlantic. Frontiers in Ecology and Evolution, 11, 1176278, https://doi.org/10.3389/fevo.2023.1176278
Further details:
Schwab, Christian; Kinkel, Hanno; Weinelt, M; Repschläger, Janne (2012): Coccolithophore paleoproductivity and ecology response to deglacial and Holocene changes in the Azores Current System. Paleoceanography, 27(3), PA3210, https://doi.org/10.1029/2012PA002281
Coverage:
Latitude: 37.999000 * Longitude: -31.128330
Date/Time Start: 1993-08-01T00:00:00 * Date/Time End: 1993-08-01T00:00:00
Minimum DEPTH, sediment/rock: 0.0250 m * Maximum DEPTH, sediment/rock: 1.9650 m
Event(s):
KF16 * Latitude: 37.999000 * Longitude: -31.128330 * Date/Time: 1993-08-01T00:00:00 * Elevation: -3050.0 m * Campaign: GEOFAR * Basis: Le Noroit * Method/Device: Piston corer (PC)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
DEPTH, sediment/rockDepth sedmRepschläger, JanneGeocode – midpoint of 1 cm slices
AGEAgeka BPRepschläger, JanneGeocode – after Schwab et al. 2012
Sea surface temperature, winterSST win°CRepschläger, JanneSIMMAX technique
Sea surface temperature, summerSST sum°CRepschläger, JanneSIMMAX technique
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
236 data points

Data

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


Depth sed [m]

Age [ka BP]

SST win [°C]

SST sum [°C]
0.02500.52416.521.9
0.03500.73416.322.4
0.04500.94316.322.0
0.05501.15316.622.0
0.06501.36216.422.0
0.07501.57216.521.8
0.08501.69716.521.8
0.09501.82116.721.8
0.10501.94616.821.9
0.11502.07116.521.8
0.12502.19517.121.7
0.13502.32016.721.8
0.14502.44516.521.8
0.15502.56916.621.9
0.16502.69416.421.9
0.17502.81916.821.9
0.19503.06816.821.9
0.20503.19316.122.2
0.21503.31716.421.9
0.22503.44216.522.6
0.23503.56716.521.8
0.24503.70616.622.0
0.25503.84616.521.7
0.26503.98516.621.9
0.27504.12517.223.2
0.28504.26416.722.1
0.29504.40416.522.7
0.30004.47417.022.7
0.31504.68316.922.9
0.32504.82316.521.9
0.33504.96217.223.4
0.34505.10216.922.9
0.35505.24117.022.1
0.36505.38117.023.0
0.37505.52016.822.9
0.38505.66016.622.8
0.39505.80016.822.9
0.40755.89517.723.4
0.41505.93616.222.0
0.42505.99316.722.8
0.43506.05116.322.4
0.44506.10916.422.5
0.45506.16616.522.6
0.46506.22416.522.6
0.47506.28216.921.2
0.48506.34016.322.0
0.50506.45515.020.7
0.51506.51316.021.6
0.52506.57015.821.9
0.54506.68616.122.2
0.55506.74416.121.8
0.57506.85916.622.5
0.58506.91716.421.9
0.59506.97416.422.3
0.60507.03216.822.7
0.62507.14816.921.7
0.65507.32116.921.7
0.66507.37916.721.7
0.67507.43616.721.5
0.68507.49416.822.6
0.69507.55217.121.7
0.70507.60916.722.8
0.72507.72517.221.7
0.73507.78316.721.8
0.74507.84016.722.1
0.75507.89816.722.7
0.77508.01316.921.5
0.78508.07116.622.1
0.80508.13816.822.7
0.81508.16316.921.7
0.82508.18816.821.8
0.83508.21316.521.9
0.84508.23817.421.3
0.85508.26316.522.0
0.86508.28816.522.0
0.87508.32417.121.5
0.88508.37316.821.9
0.89508.42217.021.9
0.90508.47116.821.9
0.92508.56817.121.5
0.94508.66617.021.5
0.95508.71417.023.0
0.96508.76317.321.3
1.00508.95816.722.8
1.02509.05617.521.4
1.03509.10417.321.3
1.05509.20216.522.6
1.06509.25114.418.7
1.08509.34817.321.4
1.09509.39717.022.5
1.10509.44617.421.6
1.12509.54317.021.3
1.15509.6909.413.5
1.17509.78716.520.5
1.19509.88517.421.3
1.20509.93310.414.6
1.225010.03117.421.4
1.245010.12817.221.3
1.265010.22616.421.1
1.305010.4219.814.1
1.355010.66514.218.8
1.375010.70514.619.1
1.395010.72711.316.1
1.405010.73812.617.3
1.415010.74913.818.7
1.435010.77014.719.5
1.455010.79213.718.7
1.505010.8469.413.5
1.545010.89013.518.2
1.605010.95511.416.4
1.705011.06310.114.6
1.725011.08513.518.5
1.745011.10612.717.5
1.765011.12811.616.3
1.805011.1729.213.7
1.845011.21512.517.1
1.905011.28010.515.1
1.965011.34511.315.9