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  • 2020-2024  (15)
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  • 1
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    Measured Serengeti soil chemical properties including salinity and pH (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-14
    Keywords: Banagi; Conductivity; DEPTH, soil; Elevation of event; Event label; GDGTs; Kemarishe; Kirawira; Latitude of event; Longitude of event; Makoma; Malambo Road; MULT; Multiple investigations; Musabi; Naabi Hill; Ndabakal; Nyaruswiga; Optional event label; pH; Salinity; Sample code/label; Serengeti; Serengeti_soil_Banagi; Serengeti_soil_Kemarishe; Serengeti_soil_Kirawira; Serengeti_soil_Makoma; Serengeti_soil_Malambo_Road; Serengeti_soil_Musabi; Serengeti_soil_Naabi_Hill; Serengeti_soil_Ndabaka; Serengeti_soil_Nyaruswiga; Serengeti_soil_Shifting_Sands; Serengeti_soil_Simba_Kopjes; Shifting Sands; Simba Kopjes; Soil; Total dissolved solids
    Type: Dataset
    Format: text/tab-separated-values, 492 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 2
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    Controlled lacustrine microcosms show a brGDGT response to environmental perturbations. Lipid data (2020)
    PANGAEA
    Details
    Publication Date: 2023-03-14
    Description: In this work we used controlled microcosms to study the effect of temperature and pH on brGDGTs in lake water. We collected surface water from Kennedy Lake, Tucson, AZ, a shallow eutrophic artificial reservoir previously described by Martínez-Sosa & Tierney (2019). From the collected samples we set up a series of microcosms, consisting of 1L glass flasks filled with lake water, and manipulated single environmental factors including temperature and pH. For our temperature incubations, we selected four conditions (9C, 18C, 27C and 35C) and incubated 3 1L flasks under each condition for two periods of time (4 or 6 weeks). For the pH incubations, we used commercially available freshwater aquarium non-phosphate buffers (Proprietary composition, Seachem, Madison, GA, USA) to manipulate the pH of the microcosms. For these experiments we targeted four pH conditions (4, 5, 6 and 7), and included two control samples: one where we added enough buffer to maintain the initial pH (Control + Buffer), and another to which we added no buffer (Control - Buffer). GDGTs were analyzed on an Agilent 1260 Infinity HPLC coupled to an Agilent 6120 single quadrupole mass spectrometer using two BEH HILIC silica columns (2.1 x 150 mm, 1.7 um; Waters) and the methodology of Hopmans et al. (2016). We calculated peak areas using the MATLAB package software ORIGAmI (Fleming et al. 2016) and estimated the concentration of brGDGTs by comparing the obtained peaks with a C46 internal standard (Huguet et al. 2006) normalized to the volume of each sample.
    Keywords: Branched glycerol dialkyl glycerol tetraether; Branched glycerol dialkyl glycerol tetraether, Ia; Branched glycerol dialkyl glycerol tetraether, Ib; Branched glycerol dialkyl glycerol tetraether, Ic; Branched glycerol dialkyl glycerol tetraether, IIa; Branched glycerol dialkyl glycerol tetraether, IIa'; Branched glycerol dialkyl glycerol tetraether, IIb; Branched glycerol dialkyl glycerol tetraether, IIb'; Branched glycerol dialkyl glycerol tetraether, IIIa; Branched glycerol dialkyl glycerol tetraether, IIIa'; brGDGTs; Calculated; Cyclization ratio of branched tetraethers; Degree of cyclisation; Experiment; Incubation duration; Isomer ratio; Kennedy_Lake_water_microcosm; Laboratory experiment; lakes; Methylation index of 5-methyl branched glycerol dialkyl glycerol tetraether; microcosms; pH; Sample ID; Standard deviation; Temperature; Temperature, water; Tucson, Arizona, USA
    Type: Dataset
    Format: text/tab-separated-values, 528 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 3
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    Abundances and indices for soil microbial biomarkers (brGDGTs and isoGDGTs) in eleven soil profiles along a Serengeti transect (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Soil profiles were collected along a transect across the Serengeti ecosystem, in Tanzania from 2-3S and 34-35.5E, 1153 to 1677 m above sea level and 0 to 1.6 m soil depth. The samples are modern soils and the temporal span of the soil depth profiles is unconstrained, likely centuries to millennia. The survey is intended to observe soil microbial lipid biomarkers that are commonly used as proxies for temperature and pH and to assess their robustness in alkaline carbonate-precipitating soil profiles, where soil carbonate proxies can also be applied. These modern calibrations can inform reconstructions of Eastern African paleoenvironments using the same proxies in geological archives. Lipid extractions and purifications were performed at USC in 2018-2019 and abundances of branched and isoprenoidal glycerol dialkyl glycerol tetraethers were obtained by high pressure liquid chromatography mass spectrometry, performed in 2020-2021 at the University of Arizona. Contextual data include total dissolved solids and pH measurements at the University of Houston in 2020-2021. For more information, please consult associated manuscript on the GDGTs within these soil profiles: Peaple et al., (2022) Identifying the drivers of GDGT distributions in alkaline soil profiles within the Serengeti ecosystem, Organic Geochemistry, in review. A publication on the bulk organics and compound specific carbon isotopic composition of plant waxes in the same soils: Zhang, et al. (2021) Carbon isotopic composition of plant waxes, bulk organics and carbonates from soils of the Serengeti grasslands, Geochimica et Cosmochimica Acta, 311, 316-331, doi:10.1016/j.gca.2021.07.005. That study includes stable hydrogen isotopic data on plant wax, available from doi:10.1594/PANGAEA.921002. A publication on multiple oxygen isotopes within carbonates in the same soil profiles can be found at: Beverly, E.J., Levin, N.E., Passey, B.H., Aron, P.G., Yarian, D.A., Page, M. and Pelletier, E.M. (2021) Triple oxygen and clumped isotopes in modern soil carbonate along an aridity gradient in the Serengeti, Tanzania. Earth and Planetary Science Letters, 567, 116952, doi:10.1016/j.epsl.2021.116952. That study includes stable carbon isotopic data on soil carbonates, available from doi:10.5281/zenodo.4919027.
    Keywords: GDGTs; pH; Salinity; Soil
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 4
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    Stable hydrogen isotope record of C30-Alkanoic acid from sediment core MD98-2152 for 450 kyr (2020)
    PANGAEA
    Details
    Publication Date: 2023-06-27
    Description: The stable hydrogen isotopes of C30-Alkanoic acids were measured from marine sediment core MD98-2152, collected off the southern coast of Sumatra, likely reflecting rainfall over southern Sumatra and western Java. The record extends to ~450,000 years before present and includes the five most recent glacial periods. To purify the leaf wax fatty acids for analysis, organic material was extracted from the sediment using an Accelerated Solvent Extractor, leaf waxes were isolated from each total lipid extract using column chromatography then methylated with methanol of a known isotopic composition to form fatty acid methyl esters, and purified with a final column. Hydrogen isotopes were measured using a gas chromatography-isotope ratio-monitoring mass spectrometer against Vienna Standard Mean Ocean Water (VSMOW). The hydrogen isotopes of the leaf wax fatty acids were then used in tandem with previously measured carbon isotopes of the same samples to calculate the hydrogen isotope values of precipitation, accounting for vegetation changes, through time following the methods in Tierney et al. (2017). This data was collected with the purpose of examining rainfall variability in the southern Indo-Pacific Warm Pool during glacial climates and to improve the spatial coverage of precipitation isotope records in the region. The age model and leaf wax carbon isotopes for MD98-2152 are available in Windler et al. (2019).
    Keywords: AGE; CALYPSO; Calypso Corer; DEPTH, sediment/rock; Gas chromatography - Isotope ratio mass spectrometer (GC-IRMS); IMAGES IV-IPHIS III; Indo-Pacific Warm Pool; Leaf wax; Marion Dufresne (1995); MD111; MD982152; MD98-2152; n-Alkanoic acid C30, δD; precipitation; δ Deuterium, precipitation
    Type: Dataset
    Format: text/tab-separated-values, 724 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 5
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    Dead Sea leaf wax stable carbon and hydrogen isotopes in sediment core DSDDP 5017-1-A (2022)
    PANGAEA
    Details
    Publication Date: 2023-10-06
    Description: Compound-specific hydrogen and carbon isotopes were measured on the C30 fatty acid in the Dead Sea Deep Drilling Project Core 5017-1-A.
    Keywords: Age model, Bacon (Blaauw & Christen, 2011); Calendar age, maximum/old; Calendar age, median; Calendar age, minimum/young; CDRILL; Core drilling; Dead Sea; Dead Sea Basin, Israel; Depth, corrected; DEPTH, sediment/rock; DSDDP_5017-1-A; Event-free depth; hydrogen and carbon isotopes; leaf waxes; n-Alkanoic acid C30, δ13C; n-Alkanoic acid C30, δ13C, standard deviation; n-Alkanoic acid C30, δD; n-Alkanoic acid C30, δD, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 1679 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 6
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    Concentrations and relative abundance of GDGT soil profiles along a Serengeti transect (2022)
    PANGAEA
    Details
    Publication Date: 2023-12-22
    Keywords: Archaeol; Archaeol and Caldarchaeol Ecometric index; Banagi; Branched and isoprenoid tetraether index; Branched glycerol dialkyl glycerol tetraether; Branched glycerol dialkyl glycerol tetraether, Ia; Branched glycerol dialkyl glycerol tetraether, Ia, fractional abundance; Branched glycerol dialkyl glycerol tetraether, Ib; Branched glycerol dialkyl glycerol tetraether, Ib, fractional abundance; Branched glycerol dialkyl glycerol tetraether, Ic; Branched glycerol dialkyl glycerol tetraether, Ic, fractional abundance; Branched glycerol dialkyl glycerol tetraether, IIa; Branched glycerol dialkyl glycerol tetraether, IIa, fractional abundance; Branched glycerol dialkyl glycerol tetraether, IIa'; Branched glycerol dialkyl glycerol tetraether, IIa', fractional abundance; Branched glycerol dialkyl glycerol tetraether, IIb; Branched glycerol dialkyl glycerol tetraether, IIb, fractional abundance; Branched glycerol dialkyl glycerol tetraether, IIb'; Branched glycerol dialkyl glycerol tetraether, IIb', fractional abundance; Branched glycerol dialkyl glycerol tetraether, IIc; Branched glycerol dialkyl glycerol tetraether, IIc, fractional abundance; Branched glycerol dialkyl glycerol tetraether, IIc'; Branched glycerol dialkyl glycerol tetraether, IIc', fractional abundance; Branched glycerol dialkyl glycerol tetraether, IIIa; Branched glycerol dialkyl glycerol tetraether, IIIa, fractional abundance; Branched glycerol dialkyl glycerol tetraether, IIIa'; Branched glycerol dialkyl glycerol tetraether, IIIa', fractional abundance; Branched glycerol dialkyl glycerol tetraether, IIIb; Branched glycerol dialkyl glycerol tetraether, IIIb, fractional abundance; Branched glycerol dialkyl glycerol tetraether, IIIb'; Branched glycerol dialkyl glycerol tetraether, IIIb', fractional abundance; Branched glycerol dialkyl glycerol tetraether, IIIc; Branched glycerol dialkyl glycerol tetraether, IIIc, fractional abundance; Branched glycerol dialkyl glycerol tetraether, IIIc'; Branched glycerol dialkyl glycerol tetraether, IIIc', fractional abundance; Carbon, organic, total; Cyclization ratio of branched tetraethers; DEPTH, soil; Depth comment; Elevation of event; Event label; Isomer ratio of 6-methyl branched glycerol dialkyl glycerol tetraethers; Isoprenoid acyclic glycerol dialkyl glycerol tetraether; Isoprenoid acyclic glycerol dialkyl glycerol tetraether, fractional abundance; Isoprenoidal glycerol dialkyl glycerol tetraethers; Isoprenoid dicyclic glycerol dialkyl glycerol tetraether; Isoprenoid dicyclic glycerol dialkyl glycerol tetraether, fractional abundance; Isoprenoid glycerol dialkyl glycerol tetraether, 5; Isoprenoid glycerol dialkyl glycerol tetraether, 5, fractional abundance; Isoprenoid glycerol dialkyl glycerol tetraether, 5'; Isoprenoid glycerol dialkyl glycerol tetraether, 5', fractional abundance; Isoprenoid glycerol dialkyl glycerol tetraether, per unit mass total organic carbon; Isoprenoid glycerol dialkyl glycerol tetraether/branched glycerol dialkyl glycerol tetraether ratio; Isoprenoid monocyclic glycerol dialkyl glycerol tetraether; Isoprenoid monocyclic glycerol dialkyl glycerol tetraether, fractional abundance; Isoprenoid tricyclic glycerol dialkyl glycerol tetraether; Isoprenoid tricyclic glycerol dialkyl glycerol tetraether, fractional abundance; Kemarishe; Kirawira; Latitude of event; Longitude of event; Makoma; Malambo Road; Methylation index of 5-methyl branched glycerol dialkyl glycerol tetraether; MULT; Multiple investigations; Musabi; Naabi Hill; Ndabakal; Nyaruswiga; Optional event label; Precipitation, annual mean; Sample code/label; Serengeti; Serengeti_soil_Banagi; Serengeti_soil_Kemarishe; Serengeti_soil_Kirawira; Serengeti_soil_Makoma; Serengeti_soil_Malambo_Road; Serengeti_soil_Musabi; Serengeti_soil_Naabi_Hill; Serengeti_soil_Ndabaka; Serengeti_soil_Nyaruswiga; Serengeti_soil_Shifting_Sands; Serengeti_soil_Simba_Kopjes; Shifting Sands; Simba Kopjes; Temperature, annual mean
    Type: Dataset
    Format: text/tab-separated-values, 1352 data points
    Location Call Number Limitation Availability
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  • 7
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    An updated age model for sediment core DSDDP 5017-1-A (2022)
    PANGAEA
    Details
    Publication Date: 2024-01-06
    Description: The age model for this core was updated to the IntCal20 curve (for radiocarbon dates) using BACON age modeling software (https://cran.r-project.org/web/packages/rbacon/). The data span 160,000 years and describe changes in Dead Sea hydroclimate and the surrounding landscape.
    Keywords: Age, dated; Age, dated standard deviation; Age model, Bacon (Blaauw & Christen, 2011); Calendar age, maximum/old; Calendar age, mean; Calendar age, median; Calendar age, minimum/young; CDRILL; Core drilling; Dead Sea; Dead Sea Basin, Israel; Depth, corrected; DEPTH, sediment/rock; DSDDP_5017-1-A; Event-free depth; Type
    Type: Dataset
    Format: text/tab-separated-values, 519 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 8
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    Ice core O2 clumped isotope data from the Last Glacial Maximum measured in West Divide ice core WDC06A (2022)
    PANGAEA
    Details
    Publication Date: 2024-03-18
    Description: Laboratory O2 clumped-isotope data (as D36 values measured at Rice University) for air occluded in ice core WDC06A spanning gas ages of 18000-21000 ky BP for the Last Glacial Maximum (LGM). Modeled atmospheric history for the LGM via outputs of the GISS-E2.1 driven and Data Assimilation (DAv2.0) driven chemical transport model incorporated into a 2-box model of the atmosphere.
    Keywords: Age model, WD2014; Antarctica, west; clumped isotope; Core; Corrected after Yeung etal., 2012; DEPTH, ice/snow; Gas age; Ice core; ICEDRILL; Ice drill; Last Glacial Maximum; WAIS; WAIS Divide; WAIS Divide Ice Core; WDC06A; West Antarctic Ice Sheet Divide ice core project; Δ36, oxygen clumped isotope; δ18O
    Type: Dataset
    Format: text/tab-separated-values, 192 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 9
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    Ice core O2 clumped isotope data from the Last Glacial Maximum measured in Greenland Ice Sheet Project (GISP2-D) ice core (2022)
    PANGAEA
    Details
    Publication Date: 2024-03-25
    Description: Laboratory O2 clumped-isotope data (as D36 values measured at Rice University) for air occluded in ice core GISP2-D spanning gas ages of 18000-21000 ky BP for the Last Glacial Maximum (LGM). Modeled atmospheric history for the LGM via outputs of the GISS-E2.1 driven and Data Assimilation (DAv2.0) driven chemical transport model incorporated into a 2-box model of the atmosphere.
    Keywords: Age model, GICC05; clumped isotope; Core; Corrected after Yeung etal., 2012; DEPTH, ice/snow; DRILL; Drilling/drill rig; Gas age; GISP; GISP2; GISP2-D; Greenland Ice Sheet Project 2; Ice core; Last Glacial Maximum; Sampling/drilling ice; WAIS Divide; Δ36, oxygen clumped isotope; δ18O
    Type: Dataset
    Format: text/tab-separated-values, 258 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 10
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    Last Glacial Maximum SST proxy collection and data assimilation (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: A collection of geochemical SST proxy from the Last Glacial Maximum (23-19 ka) and the Late Holocene (4-0 ka) and results from data assimilation with iCESM 1.2. Includes raw proxy data from the LGM (Tierney2020_LGMProxyData.csv) and LH (Tierney2020_LHProxyData.csv) time slices, with calibrated absolute SSTs; "paired" (data in the same location) proxies with calibrated SST anomalies (Tierney2020_ProxyDataPaired.csv); a 5˚ x 5˚ gridded product of the paired proxies in netCDF format (Tierney2020_ProxyData_5x5_deltaSST.nc); and the results from the DA in netCDF format. The DA results are split into atmospheric variables (SAT, d18O of precipitation; Tierney2020_DA_atm.nc) and oceanic variables (SST, SSS, and d18O of seawater; Tierney2020_DA_ocn.nc). The ocean data are provided on their native tripolar grid (Tierney2020_DA_ocn.nc) as well as a 1 x 1 regridded version (Tierney2020_DA_ocn_regrid.nc).
    Keywords: Binary Object; Binary Object (File Size); Binary Object (Media Type); d18O; Data Assimilation; File content; Last Glacial Maximum; Mg/Ca; SST; TEX86; UK37
    Type: Dataset
    Format: text/tab-separated-values, 14 data points
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    DATA PANGAEA
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