/* DATA DESCRIPTION: Citation: Wolff, Tobias (1998): SST and SSS of sediment core GeoB1523-1. PANGAEA, https://doi.org/10.1594/PANGAEA.54662 Related to: Wolff, Tobias (1998): Mixed layer characteristics in the equatorial Atlantic during the late Quaternary as deduced from planktonic foraminifera. Berichte aus dem Fachbereich Geowissenschaften der Universität Bremen, 125, 132 pp, urn:nbn:de:gbv:46-ep000102448 Wolff, Tobias; Grieger, Björn; Hale, Walter; Dürkoop, Anke; Mulitza, Stefan; Pätzold, Jürgen; Wefer, Gerold (1999): On the Reconstruction of Paleosalinities. In: Fischer, G & Wefer, G (eds.), Use of Proxies in Paleoceanography - Examples from the South Atlantic, Springer, Berlin, Heidelberg, 207-228 Wolff, Tobias; Mulitza, Stefan; Arz, Helge Wolfgang; Pätzold, Jürgen; Wefer, Gerold (1998): Oxygen isotopes versus CLIMAP (18 ka) temperatures: A comparisons from the tropical Atlantic. Geology, 26(8), 675-678, https://doi.org/10.1130/0091-7613(1998)026%3C0675:OIVCKT%3E2.3.CO;2 Project(s): Geosciences, University of Bremen (GeoB) (URI: https://www.geo.uni-bremen.de/page.php?langid=EN) South Atlantic in Late Quaternary: Reconstruction of Budget and Currents (SFB261) Coverage: LATITUDE: 3.831667 * LONGITUDE: -41.621667 DATE/TIME START: 1991-05-17T00:00:00 * DATE/TIME END: 1991-05-17T00:00:00 MINIMUM DEPTH, sediment/rock: 0.03 m * MAXIMUM DEPTH, sediment/rock: 7.03 m Event(s): GeoB1523-1 * LATITUDE: 3.831667 * LONGITUDE: -41.621667 * DATE/TIME: 1991-05-17T00:00:00 * ELEVATION: -3292.0 m * Recovery: 6.65 m * LOCATION: Amazon Fan * CAMPAIGN: M16/2 (URI: https://doi.org/10.2312/cr_m16) * BASIS: Meteor (1986) (URI: https://en.wikipedia.org/wiki/RV_Meteor_(1986)) * METHOD/DEVICE: Gravity corer (Kiel type) (SL) Parameter(s): DEPTH, sediment/rock [m] (Depth sed) * GEOCODE Sea surface temperature, winter [°C] (SST win) * PI: Wolff, Tobias (twolff@uni-bremen.de) * METHOD/DEVICE: Modern analog technique (MAT) Sea surface temperature, summer [°C] (SST sum) * PI: Wolff, Tobias (twolff@uni-bremen.de) * METHOD/DEVICE: Modern analog technique (MAT) Sea surface salinity (SSS) * PI: Wolff, Tobias (twolff@uni-bremen.de) * METHOD/DEVICE: Artificial Neural Network (ANN) Sea surface salinity (SSS) * PI: Wolff, Tobias (twolff@uni-bremen.de) * METHOD/DEVICE: Modern analog technique (MAT) License: Creative Commons Attribution 3.0 Unported (CC-BY-3.0) (URI: https://creativecommons.org/licenses/by/3.0/) Size: 284 data points */ Depth sed [m] SST win [°C] (Modern analog technique (MAT)) SST sum [°C] (Modern analog technique (MAT)) SSS (Artificial Neural Network (ANN)) SSS (Modern analog technique (MAT)) 0.03 25.2 26.9 35.5 36.1 0.13 25.4 27.3 35.5 35.8 0.23 24.7 26.9 35.5 35.8 0.33 22.1 25.0 36.2 36.4 0.43 25.5 27.0 36.6 35.9 0.53 24.3 26.4 36.5 36.0 0.63 24.1 26.4 36.7 36.2 0.73 22.2 25.5 36.6 36.3 0.83 22.4 26.3 36.7 36.8 0.93 22.2 25.9 36.5 36.4 1.03 19.0 22.7 36.5 36.5 1.13 20.4 24.2 36.2 36.6 1.23 25.7 27.2 36.4 35.7 1.33 21.4 25.0 36.2 36.1 1.43 22.4 25.4 36.6 36.2 1.53 21.0 25.5 36.1 36.6 1.63 22.0 24.6 36.6 36.5 1.73 18.1 22.5 36.7 36.2 1.83 22.6 26.2 36.8 36.3 1.93 22.1 25.6 36.4 36.7 2.03 25.3 27.0 35.6 36.2 2.13 23.5 26.2 36.1 36.1 2.23 25.2 26.9 35.9 36.1 2.33 23.7 25.9 36.5 36.1 2.43 23.7 25.8 36.1 36.2 2.53 23.7 25.9 35.9 36.1 2.63 25.9 27.7 36.4 36.0 2.73 24.9 26.7 35.8 35.9 2.83 24.2 26.6 36.5 36.1 2.93 24.5 26.8 36.7 35.9 3.03 22.9 25.8 36.0 36.0 3.13 25.5 27.2 36.0 35.8 3.23 24.6 27.0 36.3 35.4 3.33 20.8 24.0 36.2 36.1 3.43 20.1 23.9 36.1 36.3 3.53 22.2 25.0 36.2 36.5 3.63 21.0 25.0 36.4 36.1 3.73 23.4 25.8 36.2 36.5 3.83 22.9 26.3 36.3 36.4 3.93 21.5 24.7 36.5 36.2 4.03 24.0 26.4 36.1 36.1 4.13 23.7 25.7 36.3 36.1 4.23 21.6 24.6 36.3 36.1 4.33 25.0 26.9 35.8 35.9 4.43 23.7 25.9 36.3 36.1 4.53 22.2 25.3 36.2 36.2 4.63 22.4 25.0 36.5 36.3 4.73 25.6 27.1 36.4 35.8 4.83 24.4 26.4 36.5 36.0 4.93 26.0 27.5 35.9 35.9 5.03 25.5 27.2 36.1 35.9 5.13 25.0 26.8 36.3 36.0 5.23 24.7 26.9 36.1 35.8 5.33 25.8 27.4 36.0 35.8 5.43 25.6 27.6 35.6 35.8 5.53 23.0 25.4 36.7 36.1 5.63 23.7 26.0 36.8 35.9 5.73 24.4 26.6 35.9 35.6 5.83 23.9 26.6 36.1 35.9 5.93 23.3 25.6 36.3 36.3 6.03 20.8 24.0 36.2 36.6 6.13 22.7 25.9 36.3 36.1 6.23 24.9 27.0 36.9 35.9 6.33 24.1 26.6 36.1 35.8 6.43 24.0 26.5 36.2 35.9 6.53 25.5 27.1 36.9 36.0 6.63 22.7 25.5 36.9 36.1 6.73 23.8 26.3 35.9 36.0 6.83 24.9 26.9 35.9 35.8 6.93 23.2 25.7 36.8 36.2 7.03 23.8 25.9 36.6 36.4