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

Sánchez-Montes, Maria Luisa; Romero, Oscar E; Cowan, Ellen A; Müller, Juliane; Moy, Christopher M; Lloyd, Jeremy M; McClymont, Erin L (2021): Lipid biomarkers, siliceous microfossil assemblages, biogenic silica and carbon and nitrogen bulk and isotope analyses from IODP Hole 341-U1417D, Gulf of Alaska [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.936779

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

Published: 2021-10-06DOI registered: 2022-06-27

RIS CitationBibTeX Citation ShareShow MapGoogle Earth

Abstract:
We analysed IODP Expedition 341 Site U1417 to understand the palaeoceanography in the Gulf of Alaska across the Pliocene and early Pleistocene (4-1.7 Ma). The data submitted here are productivity-related biomarkers (alkenone and brassicasterol accumulation rates), siliceous microfossils (total diatoms and silicoflagellate accumulation rates and diatom assemblages accumulation rates and relative abundance), biogenic silica accumulation rates, bulk carbon and nitrogen accumulation rates and stable isotope ratios (δ13C and δ15N), terrestrial and aquatic n-alkane accumulation rates, the Shannon-Weaver index and preservation value of diatoms (prev. value). The diatom assemblages include pelagic high productivity, pelagic warm water, coastal high productivity, coastal moderate productivity, benthic and freshwater habitats.
Keyword(s):
alkenone MAR; aquatic n-alkane MAR; benthic diatoms; biogenic silica MAR; brassicasterol MAR; carbon isotope ratio (δ13C); coastal high productivity diatoms; coastal moderate productivity diatoms; diatoms; freshwater diatoms; Gulf of Alaska; IODP 341; nitrogen isotope ratio (δ15N); Paleoceanography; pelagic high productivity diatoms; pelagic warm water diatoms; Pleistocene; Pliocene; prev. value; Shannon-Weaver index; silicoflagellate; Site U1417; terrigenous n-alkane MAR; TN; TOC
Supplement to:
Sánchez-Montes, Maria Luisa; Romero, Oscar E; Cowan, Ellen A; Müller, Juliane; Moy, Christopher M; Lloyd, Jeremy M; McClymont, Erin L (2022): Plio‐Pleistocene Ocean Circulation Changes in the Gulf of Alaska and Its Impacts on the Carbon and Nitrogen Cycles and the Cordilleran Ice Sheet Development. Paleoceanography and Paleoclimatology, 37(7), e2021PA004341, https://doi.org/10.1029/2021PA004341
Related to:
Sánchez-Montes, Maria Luisa (2018): Climate-ice sheet-ocean interactions in the Gulf of Alaska through the Pliocene and Pleistocene [dissertation]. Durham University
Sánchez-Montes, Maria Luisa; McClymont, Erin L; Lloyd, Jeremy M; Müller, Juliane; Cowan, Ellen A; Zorzi, Coralie (2019): Alkenone sea surface temperatures, ice rafted debris, terrestrial/aquatic n-alkane ratio, pollen counts and a new age and depth models from IODP Expedition 341 Site U1417, Gulf of Alaska [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.899064
Sánchez-Montes, Maria Luisa; McClymont, Erin L; Lloyd, Jeremy M; Müller, Juliane; Cowan, Ellen A; Zorzi, Coralie (2020): Late Pliocene Cordilleran Ice Sheet development with warm northeast Pacific sea surface temperatures. Climate of the Past, 16(1), 299-313, https://doi.org/10.5194/cp-16-299-2020
Further details:
Jaeger, J M; Gulick, Sean P S; LeVay, Leah J; Asahi, H; Bahlburg, Dominik; Belanger, Christina L; Berbel, Glaucia B Benedetti; Childress, Laurel B; Cowan, Ellen A; Drab, Laureen; Forwick, Matthias; Fukumura, A; Ge, Shemin; Gupta, S M; Kioka, Arata; Konno, C E; März, Christian; Matsuzaki, Kenji M; McClymont, Erin L; Mix, Alan C; Moy, Christopher M; Müller, J; Nakamura, Atsunori; Ojima, Takanori; Ridgway, K D; Rodrigues Ribeiro, F; Romero, Oscar E; Slagle, Angela L; Stoner, Joseph S; St-Onge, Guillaume; Suto, Itsuki; Walczak, Maureen H; Worthington, Lindsay L (accepted): Site U1417 - Background and objectives. In: Proceedings of the IODP, Integrated Ocean Drilling Program, https://doi.org/10.2204/iodp.proc.341.103.2014
Coverage:
Latitude: 56.959830 * Longitude: -147.109960
Date/Time Start: 2013-06-13T00:00:00 * Date/Time End: 2013-06-13T00:00:00
Minimum DEPTH, sediment/rock: 212.201 m * Maximum DEPTH, sediment/rock: 417.340 m
Event(s):
341-U1417D * Latitude: 56.959830 * Longitude: -147.109960 * Date/Time: 2013-06-13T00:00:00 * Elevation: -4187.0 m * Location: Southern Alaska Margin * Campaign: Exp341 (Southern Alaska Margin: Tectonics, Climate and Sedimentation) * Basis: Joides Resolution * Method/Device: Drilling/drill rig (DRILL) * Comment: 64 cores; 466.5 m cored; 65.3 % recoverd, 470.3 m penetrated
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1Sample code/labelSample labelSánchez-Montes, Maria LuisaDSDP/ODP/IODP sample designation
2Sample IDSample IDSánchez-Montes, Maria LuisaIODP Sample ID
3DEPTH, sediment/rockDepth sedmSánchez-Montes, Maria Luisaafter Jaeger et al. (2014)Geocode – Shipboard mid-point CCSF-A depth (m)
4AgeAgeMaSánchez-Montes, Maria Luisaafter Jaeger et al. (2014)
5DEPTH, sediment/rockDepth sedmSánchez-Montes, Maria LuisaAfter Sánchez-Montes et al. (2019)Geocode – Average
6Depth, bottom/maxDepth botmSánchez-Montes, Maria LuisaAfter Sánchez-Montes et al. (2020)Maximum
7Depth, top/minDepth topmSánchez-Montes, Maria LuisaAfter Sánchez-Montes et al. (2020)Minimum
8AgeAgeMaSánchez-Montes, Maria LuisaAfter Sánchez-Montes et al. (2019)
9Age, errorAge e±Sánchez-Montes, Maria LuisaCalculatedAge errors (Ma; Difference between Jaeger et al., 2014 and Sánchez-Montes et al., 2019 magnetic reversals).
10Sedimentation rateSRcm/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2019)Average
11Sedimentation rateSRcm/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Minimum
12Sedimentation rateSRcm/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Maximum
13Accumulation rate, alkenonesAcc rate alkµg/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2019)Average
14Accumulation rate, alkenonesAcc rate alkµg/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Minimum
15Accumulation rate, alkenonesAcc rate alkµg/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Maximum
16Accumulation rate, 24-Methylcholesta-5,22E-dien-3beta-olAcc rate brassicasterolµg/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2019)Average
17Accumulation rate, 24-Methylcholesta-5,22E-dien-3beta-olAcc rate brassicasterolµg/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Minimum
18Accumulation rate, 24-Methylcholesta-5,22E-dien-3beta-olAcc rate brassicasterolµg/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Maximum
19δ15Nδ15N‰ airSánchez-Montes, Maria Luisa
20NitrogenN%Sánchez-Montes, Maria Luisa
21Accumulation rate, nitrogenAcc rate Nmg/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2019)Average
22Accumulation rate, nitrogenAcc rate Nmg/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Minimum
23Accumulation rate, nitrogenAcc rate Nmg/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Maximum
24δ13Cδ13C‰ PDBSánchez-Montes, Maria Luisa
25Carbon, organic, totalTOC%Sánchez-Montes, Maria Luisa
26Accumulation rate, total organic carbonAcc rate TOCmg/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2019)Average
27Accumulation rate, total organic carbonAcc rate TOCmg/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Minimum
28Accumulation rate, total organic carbonAcc rate TOCmg/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Maximum
29Accumulation rate, n-Alkanes, aquaticAcc rate n-Alk aquaµg/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2019)Average
30Accumulation rate, n-Alkanes, aquaticAcc rate n-Alk aquaµg/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Minimum
31Accumulation rate, n-Alkanes, aquaticAcc rate n-Alk aquaµg/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Maximum
32Accumulation rate, n-Alkanes, terrestrialAcc rate n-Alk terrµg/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2019)Average
33Accumulation rate, n-Alkanes, terrestrialAcc rate n-Alk terrµg/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Minimum
34Accumulation rate, n-Alkanes, terrestrialAcc rate n-Alk terrµg/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Maximum
35Accumulation rate, diatomsAcc rate diatom106 #/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2019)Average of million valves/cm**2 /ka
36Accumulation rate, diatomsAcc rate diatom106 #/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Minimum of million valves/cm**2 /ka
37Accumulation rate, diatomsAcc rate diatom106 #/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Maximum of million valves/cm**2 /ka
38Accumulation rate, silicoflagellatesAcc rate silicofl106 #/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2019)Average of million skeletons/cm**2 /ka
39Accumulation rate, silicoflagellatesAcc rate silicofl106 #/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Minimum of million skeletons/cm**2 /ka
40Accumulation rate, silicoflagellatesAcc rate silicofl106 #/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Maximum of million skeletons/cm**2 /ka
41Diatoms freshwaterDiatom fw%Romero, Oscar EAbundance estimate
42Accumulation rate, diatoms, freshwaterAcc rate diatom fw106 #/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2019)Average of million valves/cm**2 /ka
43Accumulation rate, diatoms, freshwaterAcc rate diatom fw106 #/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Minimum of million valves/cm**2 /ka
44Accumulation rate, diatoms, freshwaterAcc rate diatom fw106 #/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Maximum of million valves/cm**2 /ka
45Diatoms, coastal high productivityDiatom coast high prod%Romero, Oscar EAbundance estimate
46Accumulation rate, diatoms, coastal high productivityAcc rate diatom coast high prod106 #/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2019)Average of million valves/cm**2 /ka
47Accumulation rate, diatoms, coastal high productivityAcc rate diatom coast high prod106 #/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Minimum of million valves/cm**2 /ka
48Accumulation rate, diatoms, coastal high productivityAcc rate diatom coast high prod106 #/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Maximum of million valves/cm**2 /ka
49Diatoms, benthicDiatom benthic%Romero, Oscar EAbundance estimate
50Accumulation rate, diatoms, benthicAcc rate diatom benth106 #/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2019)Average of million valves/cm**2 /ka
51Accumulation rate, diatoms, benthicAcc rate diatom benth106 #/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Minimum of million valves/cm**2 /ka
52Accumulation rate, diatoms, benthicAcc rate diatom benth106 #/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Maximum of million valves/cm**2 /ka
53Diatoms, pelagic high productivityDiatom pel high prod%Romero, Oscar EAbundance estimate
54Accumulation rate, diatoms, pelagic high productivityAcc rate diatom pel high prod106 #/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2019)Average of million valves/cm**2 /ka
55Accumulation rate, diatoms, pelagic high productivityAcc rate diatom pel high prod106 #/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Minimum of million valves/cm**2 /ka
56Accumulation rate, diatoms, pelagic high productivityAcc rate diatom pel high prod106 #/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Maximum of million valves/cm**2 /ka
57Diatoms, pelagic warm waterDiatom pel warm water%Romero, Oscar EAbundance estimate
58Accumulation rate, diatoms, pelagic warm waterAcc rate diatom pel warm water106 #/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2019)Average of million valves/cm**2 /ka
59Accumulation rate, diatoms, pelagic warm waterAcc rate diatom pel warm water106 #/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Minimum of million valves/cm**2 /ka
60Accumulation rate, diatoms, pelagic warm waterAcc rate diatom pel warm water106 #/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Maximum of million valves/cm**2 /ka
61Diatoms, coastal moderate productivityDiatom coast mod prod%Romero, Oscar EAbundance estimate
62Accumulation rate, diatoms, coastal moderate productivityAcc rate diatom coast mod P106 #/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2019)Average of million valves/cm**2 /ka
63Accumulation rate, diatoms, coastal moderate productivityAcc rate diatom coast mod P106 #/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Minimum of million valves/cm**2 /ka
64Accumulation rate, diatoms, coastal moderate productivityAcc rate diatom coast mod P106 #/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Maximum of million valves/cm**2 /ka
65Shannon Diversity IndexH'Romero, Oscar E
66Preservation valuePrev valueRomero, Oscar E
67Opal, biogenic silicabSiO2%Romero, Oscar Ewt.%
68Accumulation rate, opalAcc rate opalg/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2019)Average
69Accumulation rate, opalAcc rate opalg/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Minimum
70Accumulation rate, opalAcc rate opalg/cm2/kaSánchez-Montes, Maria LuisaCalculated after Sánchez-Montes et al. (2020)Maximum
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
6501 data points

Download Data

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

View dataset as HTML (shows only first 2000 rows)