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  • PANGAEA  (10)
  • Copernicus  (2)
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  • 1
    Publication Date: 2021-04-19
    Description: Holocene climate reconstructions are useful for understanding the diverse features and spatial heterogeneity of past and future climate change. Here we present a database of western North American Holocene paleoclimate records. The database gathers paleoclimate time series from 184 terrestrial and marine sites, including 381 individual proxy records. The records span at least 4000 of the last 12 000 years (median duration of 10 725 years) and have been screened for resolution, chronologic control, and climate sensitivity. Records were included that reflect temperature, hydroclimate, or circulation features. The database is shared in the machine readable Linked Paleo Data (LiPD) format and includes geochronologic data for generating site-level time-uncertain ensembles. This publicly accessible and curated collection of proxy paleoclimate records will have wide research applications, including, for example, investigations of the primary features of ocean–atmospheric circulation along the eastern margin of the North Pacific and the latitudinal response of climate to orbital changes. The database is available for download at https://doi.org/10.6084/m9.figshare.12863843.v1 (Routson and McKay, 2020).
    Print ISSN: 1866-3508
    Electronic ISSN: 1866-3516
    Topics: Geosciences
    Published by Copernicus
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  • 2
    Publication Date: 2021-04-13
    Description: High biogenic silica (BSi) concentrations occur sporadically in lake sediments throughout the world; however, the processes leading to high BSi concentrations vary. We explored the factors responsible for the high BSi concentration in sediments of a small, high-latitude subarctic lake (Lake 850). The Si budget of this lake had not been fully characterized before to establish the drivers of BSi accumulation in this environment. To do this, we combined measurements of variations in stream discharge, dissolved silica (DSi) concentrations, and stable Si isotopes in both lake and stream water with measurements of BSi content in lake sediments. Water, radon, and Si mass balances revealed the importance of groundwater discharge as a main source of DSi to the lake, with groundwater-derived DSi inputs 3 times higher than those from ephemeral stream inlets. After including all external DSi sources (i.e., inlets and groundwater discharge) and estimating the total BSi accumulation in the sediment, we show that diatom production consumes up to 79 % of total DSi input. Additionally, low sediment accumulation rates were observed based on the dated gravity core. Our findings thus demonstrate that groundwater discharge and low mass accumulation rate can account for the high BSi accumulation during the last 150 cal yr BP. Globally, lakes have been estimated to retain one-fifth of the annual DSi terrestrial weathering flux that would otherwise be delivered to the ocean. Well-constrained lake mass balances, such as presented here, bring clarity to those estimates of the terrestrial Si cycle sinks.
    Print ISSN: 1726-4170
    Electronic ISSN: 1726-4189
    Topics: Biology , Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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  • 3
    Publication Date: 2024-06-12
    Keywords: Analytical method; Area/locality; Arnica_Creek_2; Arnica_Creek_3; Big_Thumb_Creek_2; Big_Thumb_Creek_3; Bridge_Creek_2; Bridge_Creek_3; Calculated; Date/Time of event; Diatom; Event label; germanium; Germanium/Silicon ratio; Germanium/Silicon ratio, standard deviation; Holocene; Laboratory; lake; Latitude of event; Little_Thumb_Creek_2; Little_thumb_Creek_3; Location; Longitude of event; Multi-Collector Inductively Coupled Plasma Mass Spectrometer (MC-ICP-MS), Nu Instruments; Thermo Fisher, NuPlasma II HR/Neptune; Number of measurements; Pelican_Creek_2; Pelican_Creek_3; Regime; Sample code/label; Sedge_Creek_2; Sedge_Creek_3; sediment; see comment; Silica, dissolved; Silica, dissolved, standard deviation; Silicon isotopes; USA; Water sample; WS; Yellowstone; Yellowstone_River_1; Yellowstone_River_2; Yellowstone_River_3; Yellowstone_River_4; YL16F06; YL16F07; YL16F10; YL16F12; YL16F14; YL17F01; YL17F02; YL17F03; YL17F08; YL18F02; YL18F04; YL18F06; YL18F12; YL18F13; YL18F14; δ30Si; δ30Si, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 500 data points
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  • 4
    Publication Date: 2024-06-12
    Keywords: According to Schiller et al. (2021); Age model; Alkaline extraction according to Conley and Schleske (2002); BACON age modeling according to Schiller et al. (2021); Biogenic silica; Biogenic silica, flux; Biogenic silica, standard deviation; Calculated, according to Niessen (2013); Calendar age, mean; Calendar age, median; Carbon, inorganic, total; Carbon, organic, total; Carbon, organic, total, standard error; Carbon/Nitrogen ratio; Density, wet bulk; Depth, bottom/max; Depth, composite; Depth, reference; DEPTH, sediment/rock; Depth, top/min; Diatom; Elemental Analyser, COSTECH, COSTECH ECS4010; germanium; Germanium/Silicon ratio; Germanium/Silicon ratio, standard deviation; Holocene; KULC; KULLENBERG corer; lake; Multi-Collector Inductively Coupled Plasma Mass Spectrometer (MC-ICP-MS), Nu Instruments, NuPlasma II HR; Multi-Sensor Core Logger (MSCL-XYZ), GEOTEK; Nitrogen, total; Nitrogen, total, standard deviation; Number of measurements; Porosity; Replicates; Sample ID; Sample thickness; Section; sediment; Sedimentation rate; see comment; Silicon isotopes; Yellowstone; Yellowstone Lake; YL16-2C; δ29Si; δ29Si, standard deviation; δ30Si; δ30Si, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 4185 data points
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  • 5
    Publication Date: 2024-06-12
    Keywords: According to Schiller et al. (2021); Age model; Alkaline extraction according to Conley and Schleske (2002); BACON age modeling according to Schiller et al. (2021); Biogenic silica; Biogenic silica, flux; Biogenic silica, standard deviation; Calculated, according to Niessen (2013); Calendar age, mean; Calendar age, median; Carbon, inorganic, total; Carbon, organic, total; Carbon, organic, total, standard error; Carbon/Nitrogen ratio; Density, wet bulk; Depth, bottom/max; Depth, composite; Depth, reference; DEPTH, sediment/rock; Depth, top/min; Diatom; Elemental Analyser, COSTECH, COSTECH ECS4010; germanium; Holocene; lake; Multi-Collector Inductively Coupled Plasma Mass Spectrometer (MC-ICP-MS), Nu Instruments, NuPlasma II HR; Multi-Sensor Core Logger (MSCL-XYZ), GEOTEK; Nitrogen, total; North America; Number of measurements; Porosity; Replicates; Sample ID; Sample thickness; Section; sediment; Sedimentation rate; Silicon isotopes; Yellowstone; YL16-5A; δ29Si; δ29Si, standard deviation; δ30Si; δ30Si, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 3640 data points
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  • 6
    Publication Date: 2024-06-12
    Keywords: CIELAB system; Color, a*; Color, b*; Color, L*, lightness; Color, X; Color, Y; Color, Z; Color reflectance at 360 nm; Color reflectance at 370 nm; Color reflectance at 380 nm; Color reflectance at 390 nm; Color reflectance at 400 nm; Color reflectance at 410 nm; Color reflectance at 420 nm; Color reflectance at 430 nm; Color reflectance at 440 nm; Color reflectance at 450 nm; Color reflectance at 460 nm; Color reflectance at 470 nm; Color reflectance at 480 nm; Color reflectance at 490 nm; Color reflectance at 500 nm; Color reflectance at 510 nm; Color reflectance at 520 nm; Color reflectance at 530 nm; Color reflectance at 540 nm; Color reflectance at 550 nm; Color reflectance at 560 nm; Color reflectance at 570 nm; Color reflectance at 580 nm; Color reflectance at 590 nm; Color reflectance at 600 nm; Color reflectance at 610 nm; Color reflectance at 620 nm; Color reflectance at 630 nm; Color reflectance at 640 nm; Color reflectance at 650 nm; Color reflectance at 660 nm; Color reflectance at 670 nm; Color reflectance at 680 nm; Color reflectance at 690 nm; Color reflectance at 700 nm; Color reflectance at 710 nm; Color reflectance at 720 nm; Color reflectance at 730 nm; Color reflectance at 740 nm; DEPTH, sediment/rock; Diatom; germanium; Greyscale value; Holocene; lake; Magnetic susceptibility; Multi-Sensor Core Logger (MSCL-XYZ), GEOTEK; Munsell Color System (1994); North America; Section; Section position; sediment; Silicon isotopes; Yellowstone; YL16-5A
    Type: Dataset
    Format: text/tab-separated-values, 110019 data points
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  • 7
    Publication Date: 2024-06-12
    Keywords: CIELAB system; Color, a*; Color, b*; Color, L*, lightness; Color, X; Color, Y; Color, Z; Color reflectance at 360 nm; Color reflectance at 370 nm; Color reflectance at 380 nm; Color reflectance at 390 nm; Color reflectance at 400 nm; Color reflectance at 410 nm; Color reflectance at 420 nm; Color reflectance at 430 nm; Color reflectance at 440 nm; Color reflectance at 450 nm; Color reflectance at 460 nm; Color reflectance at 470 nm; Color reflectance at 480 nm; Color reflectance at 490 nm; Color reflectance at 500 nm; Color reflectance at 510 nm; Color reflectance at 520 nm; Color reflectance at 530 nm; Color reflectance at 540 nm; Color reflectance at 550 nm; Color reflectance at 560 nm; Color reflectance at 570 nm; Color reflectance at 580 nm; Color reflectance at 590 nm; Color reflectance at 600 nm; Color reflectance at 610 nm; Color reflectance at 620 nm; Color reflectance at 630 nm; Color reflectance at 640 nm; Color reflectance at 650 nm; Color reflectance at 660 nm; Color reflectance at 670 nm; Color reflectance at 680 nm; Color reflectance at 690 nm; Color reflectance at 700 nm; Color reflectance at 710 nm; Color reflectance at 720 nm; Color reflectance at 730 nm; Color reflectance at 740 nm; DEPTH, sediment/rock; Diatom; germanium; Greyscale value; Holocene; KULC; KULLENBERG corer; lake; Magnetic susceptibility; Multi-Sensor Core Logger (MSCL-XYZ), GEOTEK; Munsell Color System (1994); Section; Section position; sediment; Silicon isotopes; Yellowstone; Yellowstone Lake; YL16-2C
    Type: Dataset
    Format: text/tab-separated-values, 115841 data points
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  • 8
    Publication Date: 2024-06-12
    Keywords: Aluminium; Antimony; Argon; Arsenic; Barium; Bismuth; Bromine; Caesium; Calcium; Chlorine; Chromium, coherent scatter; Chromium, incoherent scatter; Cobalt; Copper; DEPTH, sediment/rock; Diatom; E-gain; E-offset; Europium; F-offset; F-slope; germanium; Germanium; Gold; Hafnium; Holocene; Iridium; Iron; Krypton; KULC; KULLENBERG corer; lake; Lanthanum; Magnesium; Manganese; Mean squared error; Neodymium; Nickel; Phosphorus; Platinum; Potassium; Praseodymium; Promethium; Rubidium; Scandium; Section; Section position; sediment; Selenium; Silicon; Silicon isotopes; Strontium; Sulfur; Tantalum; Tellurium; Terbium; Thulium; Titanium; Total count rate; Tungsten; Validity; Vanadium; X-ray fluorescence core scanning (XRF), COX, ITRAX; Yellowstone; Yellowstone Lake; YL16-2C; Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 67744 data points
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  • 9
    Publication Date: 2024-06-12
    Keywords: Aluminium; Antimony; Argon; Arsenic; Barium; Bismuth; Bromine; Caesium; Calcium; Chlorine; Chromium, coherent scatter; Chromium, incoherent scatter; Cobalt; Copper; DEPTH, sediment/rock; Diatom; E-gain; E-offset; Europium; F-offset; F-slope; germanium; Germanium; Gold; Hafnium; Holocene; Iridium; Iron; Krypton; lake; Lanthanum; Magnesium; Manganese; Mean squared error; Neodymium; Nickel; North America; Phosphorus; Platinum; Potassium; Praseodymium; Promethium; Rubidium; Scandium; Section; Section position; sediment; Selenium; Silicon; Silicon isotopes; Strontium; Sulfur; Tantalum; Tellurium; Terbium; Thulium; Titanium; Total count rate; Tungsten; Validity; Vanadium; X-ray fluorescence core scanning (XRF), COX, ITRAX; Yellowstone; YL16-5A; Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 126483 data points
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  • 10
    Publication Date: 2024-06-12
    Keywords: Diatom; germanium; Holocene; lake; North America; sediment; Silicon isotopes; Yellowstone; YL16-5A
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 793.7 kBytes
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