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Data Publisher for Earth & Environmental Science

Lauretano, Vittoria; Kennedy-Asser, Alan T; Korasidis, Vera A; Wallace, Malcolm W; Valdes, Paul J; Lunt, Daniel J; Pancost, Richard D; Naafs, Bernhard David A (2021): Middle Eocene to early Oligocene SST record of IODP Site 318-U1356 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.933170, In: Lauretano, V et al. (2021): Middle Eocene to early Oligocene lignite brGDGT-derived temperatures and pH, biomarker data and TOC% from SE Australia [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.933176

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Keyword(s):
Australia; Biomarkers; Eocene-Oligocene Transition; Paleotemperature; terrestrial temperatures
Related to:
Hartman, Julian D; Sangiorgi, Francesca; Salabarnada, Ariadna; Peterse, Francien; Houben, Alexander J P; Schouten, Stefan; Brinkhuis, Henk; Escutia, Carlota; Bijl, Peter K (2018): Paleoceanography and ice sheet variability offshore Wilkes Land, Antarctica – Part 3: Insights from Oligocene–Miocene TEX<sub>86</sub>-based sea surface temperature reconstructions. Climate of the Past, 14(9), 1275-1297, https://doi.org/10.5194/cp-14-1275-2018
Further details:
Tierney, Jessica E; Tingley, Martin P (2015): A TEX86 surface sediment database and extended Bayesian calibration. Scientific Data, 2, 150029, https://doi.org/10.1038/sdata.2015.29
Project(s):
Coverage:
Latitude: -63.310230 * Longitude: 135.998960
Minimum DEPTH, sediment/rock: 739.46 m * Maximum DEPTH, sediment/rock: 884.99 m
Event(s):
318-U1356 * Latitude: -63.310230 * Longitude: 135.998960 * Elevation: -4003.0 m * Method/Device: Composite Core (COMPCORE)
Comment:
Chronology: Hartman et al., 2018
BAYSPAR prior mean: 12, prior std dev: 20
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
DEPTH, sediment/rockDepth sedmLauretano, VittoriaGeocode
AGEAgeka BPLauretano, VittoriaGeocode
Tetraether index of 86 carbon atomsTEX86Lauretano, Vittoria
Reference/sourceReferenceLauretano, Vittoria
Sea surface temperatureSST°CLauretano, VittoriaSST, from BAYSPAR (5th Percentile)
Sea surface temperatureSST°CLauretano, VittoriaSST, from BAYSPAR (50th Percentile)
Sea surface temperatureSST°CLauretano, VittoriaSST, from BAYSPAR (95th Percentile)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
215 data points

Data

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


Depth sed [m]

Age [ka BP]

TEX86

Reference

SST [°C]
(SST, from BAYSPAR (5th Percen...)

SST [°C]
(SST, from BAYSPAR (50th Perce...)

SST [°C]
(SST, from BAYSPAR (95th Perce...)
739.46280710.579Hartman et al., 201814.59921.24529.016
740.37281110.548Hartman et al., 201812.25518.93026.144
741.08281420.511Hartman et al., 20189.35616.20122.976
742.70282140.556Hartman et al., 201812.94619.55726.848
749.86285280.548Hartman et al., 201812.31318.96726.179
751.07285810.571Hartman et al., 201814.06120.65928.337
754.42287290.537Hartman et al., 201811.39918.15025.132
776.84297130.556Hartman et al., 201812.97219.58926.935
778.98298070.510Hartman et al., 20189.34516.13022.831
781.50299180.548Hartman et al., 201812.29118.96926.251
783.53299980.572Hartman et al., 201814.15020.75628.322
798.85305110.503Hartman et al., 20188.78415.58322.232
801.23305910.589Hartman et al., 201815.43522.01630.029
801.62306040.582Hartman et al., 201814.95421.51429.334
802.03306180.554Hartman et al., 201812.85919.40826.746
802.43306310.556Hartman et al., 201812.98419.55526.914
802.51306340.560Hartman et al., 201813.21119.87427.279
802.71306400.556Hartman et al., 201812.93919.59226.899
803.10306530.555Hartman et al., 201812.83019.49226.838
803.31306600.603Hartman et al., 201816.45123.07631.391
803.62306710.577Hartman et al., 201814.53221.14428.823
806.45307650.545Hartman et al., 201812.09618.73825.953
807.23307920.532Hartman et al., 201811.11117.78024.771
807.83308120.536Hartman et al., 201811.42818.05725.042
808.23308250.544Hartman et al., 201811.94918.66225.862
808.43308320.514Hartman et al., 20189.62516.39623.182
808.53308350.573Hartman et al., 201814.20420.83928.453
808.73308420.561Hartman et al., 201813.34619.95627.383
808.93308480.549Hartman et al., 201812.37719.03526.330
809.13308550.558Hartman et al., 201813.14019.71127.085
809.33308620.580Hartman et al., 201814.77821.35429.233
809.53308690.569Hartman et al., 201813.86720.54628.200
809.74308760.572Hartman et al., 201814.12520.75528.377
809.93308820.607Hartman et al., 201816.69223.33331.687
810.45308990.561Hartman et al., 201813.33119.92227.332
810.83309120.555Hartman et al., 201812.88419.49326.852
835.70317440.532Hartman et al., 201811.09717.77924.723
845.75320810.509Hartman et al., 20189.27816.04522.713
847.06321250.493Hartman et al., 20187.89914.83821.422
874.08330290.507Hartman et al., 20189.11415.86722.589
874.77330520.574Hartman et al., 201814.28120.91828.588
876.88331230.532Hartman et al., 201811.08117.77824.693
884.99333010.566Hartman et al., 201813.69320.30427.866