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

Pivel, Maria Alejandra G; Santarosa, Ana Cláudia Aoki; Toledo, Felipe Antonio de L; Costa, Karen Badaraco (2013): Sea surface temperature and salinity reconstructions for sediment core LaPAS-KF02 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.809921, In supplement to: Pivel, MAG et al. (2013): The Holocene onset in the southwestern South Atlantic. Palaeogeography, Palaeoclimatology, Palaeoecology, 374, 164-172, https://doi.org/10.1016/j.palaeo.2013.01.014

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

RIS CitationBibTeX CitationShow MapGoogle Earth

Coverage:
Latitude: -25.840000 * Longitude: -45.200000
Minimum DEPTH, sediment/rock: 0.010 m * Maximum DEPTH, sediment/rock: 4.400 m
Event(s):
LaPAS-KF02 * Latitude: -25.840000 * Longitude: -45.200000 * Elevation: -827.0 m * Penetration: 4.89 m * Location: South Atlantic * Method/Device: Core drilling (CDRILL)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1DEPTH, sediment/rockDepth sedmGeocode
2AGEAgeka BPGeocode
3Sea surface temperature, summerSST sum°CPivel, Maria Alejandra GArtificial Neural Network Technique (ANN) (Malmgren and Nordlund, 1997)ANN calculations performed by Prof. Michal Kucera
4Sea surface temperature, summer, standard deviationSST sum std dev±Pivel, Maria Alejandra GArtificial Neural Network Technique (ANN) (Malmgren and Nordlund, 1997)ANN calculations performed by Prof. Michal Kucera
5Sea surface temperature, winterSST win°CPivel, Maria Alejandra GArtificial Neural Network Technique (ANN) (Malmgren and Nordlund, 1997)ANN calculations performed by Prof. Michal Kucera
6Sea surface temperature, winter, standard deviationSST win std dev±Pivel, Maria Alejandra GArtificial Neural Network Technique (ANN) (Malmgren and Nordlund, 1997)ANN calculations performed by Prof. Michal Kucera
7Sea surface temperature, annual meanSST (1-12)°CPivel, Maria Alejandra GArtificial Neural Network Technique (ANN) (Malmgren and Nordlund, 1997)ANN calculations performed by Prof. Michal Kucera
8Sea surface temperature, annual mean, standard deviationSST (1-12) std dev±Pivel, Maria Alejandra GArtificial Neural Network Technique (ANN) (Malmgren and Nordlund, 1997)ANN calculations performed by Prof. Michal Kucera
9Globigerinoides ruber white, δ18OG. ruber w δ18O‰ PDBPivel, Maria Alejandra GMass spectrometer Finnigan MAT 252size fraction >150 µm
10δ18O, ice volume effectδ18O ice effect‰ PDBPivel, Maria Alejandra GCalculated
11δ18O, reconstructedδ18O reconstPivel, Maria Alejandra GCalculatedsea water with respect to PDB
12δ18O, reconstructedδ18O reconstPivel, Maria Alejandra GCalculatedsea water residual (subtracting ice volume) with respect to PDB
13δ18O, waterδ18O H2O‰ SMOWPivel, Maria Alejandra GCalculatedsea water
14δ18O, waterδ18O H2O‰ SMOWPivel, Maria Alejandra GCalculatedsea water residual (subtracting ice volume)
15Sea surface salinitySSSPivel, Maria Alejandra GCalculatedbased on the residual method
16Sea surface salinitySSSPivel, Maria Alejandra GCalculatedexcluding the ice volume effect, based on the residual method
17Globorotalia menardii groupG. menardii gr%Pivel, Maria Alejandra GCounting >150 µm fractionG. menardii, G. tumida, G. fimbriata
18Globigerinella calidaG. calida%Pivel, Maria Alejandra GCounting >150 µm fraction
19Neogloboquadrina dutertreiN. dutertrei%Pivel, Maria Alejandra GCounting >150 µm fraction
20Globorotalia truncatulinoides dextralG. truncatulinoides d%Pivel, Maria Alejandra GCounting >150 µm fraction
21Globorotalia inflataG. inflata%Pivel, Maria Alejandra GCounting >150 µm fraction
22Neogloboquadrina pachyderma dextralN. pachyderma d%Pivel, Maria Alejandra GCounting >150 µm fraction
23Foraminifera, benthicForam benth%Pivel, Maria Alejandra GCounting >150 µm fractionrelative to planktonic foraminifera
24OstracodaOstrac%Pivel, Maria Alejandra GCounting >150 µm fractionrelative to planktonic foraminifera
Size:
2222 data points

Download Data

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

View dataset as HTML (shows only first 2000 rows)