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  • 1
    Publication Date: 2023-07-11
    Description: Large Arctic rivers are key locations for nitrogen processing, which controls the supply of this limiting nutrient to the Arctic Ocean. In a warming Arctic, longer ice-free periods increase riverine productivity and modulate nitrogen consumption and delivery to the ocean. In this study, the annual variability of nitrate concentrations at the Lena River outlet (Samoylov station) was investigated. Significantly higher nitrate concentrations in water were observed sub-ice (winter) than in the open water (summer), and the higher nitrate concentrations follow phases of colder air temperature at the Lena catchment scale (ERA5 reanalysis data). We hypothesize that colder phases result in thicker river ice leading to darker under-ice conditions preferred by nitrifying microbial communities, thereby inducing increasing sub-ice nitrification. We tested this hypothesis using silicon isotopes known to fractionate upon freezing. The high nitrate concentrations in the winter are associated with heavier silicon isotope compositions in river water. This can be explained by the supersaturation and precipitation of amorphous silica preferentially incorporating the lighter silicon isotopes, leaving the water isotopically heavier. Supersaturation of amorphous silica can result from thicker ice formation upon colder air temperature at catchment scale. The silicon isotope data support phases of thicker ice formation, and indirectly support darker sub-ice conditions at the river base creating pulses of increasing nitrification. Our hypothesis is also supported by a change in the value of an index for dissolved organic carbon aromaticity (SUVA) during the colder phases: this suggests that conditions favour the decomposition of dissolved organic matter during periods of thicker river ice. Air temperature, nitrate concentration, silicon isotopes and SUVA are supporting evidence for pulses of sub-ice microbial activity in the river during winter. It follows that decreasing ice cover duration throughout the catchment is likely to decrease winter nitrate fluxes from the Lena River to the Arctic Ocean.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , NonPeerReviewed
    Format: application/pdf
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  • 2
    Publication Date: 2024-04-17
    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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  • 3
    Publication Date: 2024-04-17
    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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  • 4
    Publication Date: 2024-04-17
    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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  • 5
    Publication Date: 2024-04-24
    Description: Yellowstone Plateau Volcanic Field, USA: Ge concentrations measured by inductively coupled plasma mass spectrometry (ICP-MS), Si concentrations measured by inductively coupled plasma optical emission spectrometry (ICP-OES), Ge/Si ratio, Si isotope compositions (d30Si and standard deviation SD) measured by Multicollector ICP-MS, concentrations in Ca, Na, Mg, K measured by ICP-OES, and concentrations in SO4 and Cl measured by ion chromatography in thermal waters, major rivers draining the Yellowstone Plateau Volcanic Field, and creeks flowing into Yellowstone Lake.
    Keywords: Arnica_Creek_1; Arnica_Creek_2; Big_Thumb_Creek_1; Big_Thumb_Creek_2; Black_Sand_Pool; Bridge_Creek_1; Bridge_Creek_2; Calcium; Calculated, see abstract; Chinese_Spring; Chloride; Country; Crested_Pool; DATE/TIME; Dome_Geyser; East_Chinaman_Pool; Event label; Fall_River_1; Fall_River_2; Firehole_River_1; Firehole_River_2; Firehole_River_3; Firehole_River_4; Gardner_River_1; Gardner_River_2; Ge/Si; Germanium; Germanium/Silicon ratio; Gibbon_River_1; Gibbon_River_2; hydrothermal; ICP-OES, Inductively coupled plasma - optical emission spectrometry; Inductively coupled plasma - mass spectrometry (ICP-MS); Ion chromatography; LATITUDE; Little_Thumb_Creek_1; Little_Thumb_Creek_2; Location; LONGITUDE; Madison_River_1; Madison_River_2; Magnesium; Multicollector mass spectrometry; Pelican_Creek_1; Pelican_Creek_2; Potassium; Project; Punch_Bowl_Spring; Sample code/label; Sample method; Sedge_Creek_1; Sedge_Creek_2; Silicon; Silicon isotopes; Snake_River_1; Snake_River_2; Sodium; Sulfate; Sulphide_Spring; Type; USA; Weathering; Yellowstone; Yellowstone_River_1; Yellowstone_River_2; Yellowstone_River_3; Yellowstone_River_4; δ30Si; δ30Si, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 584 data points
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  • 6
    Publication Date: 2024-04-20
    Keywords: Diatom; germanium; Holocene; KULC; KULLENBERG corer; lake; sediment; Silicon isotopes; Yellowstone; Yellowstone Lake; YL16-2C
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 467 kBytes
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  • 7
    Publication Date: 2024-04-20
    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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  • 8
    Publication Date: 2024-04-20
    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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  • 9
    Publication Date: 2024-04-20
    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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  • 10
    Publication Date: 2024-04-24
    Description: The sedimentary data on two Yellowstone Lake sediment cores from 2016 - YL16-2C and YL16-5A, which include total organic carbon (TOC), total inorganic carbon (TIC), biogenic silica (BSi) concentrations, total nitrogen (TN) concentrations and carbon-nitrogen ratios (C/N) of the bulk sediment thought the Holocene. Furhter, stable silicon isotopes, and Ge/Si ratios of single endemitic diatom species Stephanodiscus yellowstonesis are included. Additionally, there are complete elemental composition data aquired using X-ray fluorescence (XRF) with an ITRAX and core logger data, including magnetic susceptibility measured ad LacCore Facility, Minneapolis, USA. Data on Yellowstone Lake water, Yellowstone Lake triburates and hydrothermal vents from two fields - West Thumb and Steavenson Island- include dissolved silicon, stable silicon isotopes and Ge/Si ratios sampled over period 2016-2018. All data were sampled to constrain the lake's silicon dynamics though out the Holocene and to identify sources of dissolved silicon in the lake. The sediment core analyzes of TOC, TN and C/N were measured on 5 to 10 mg of freeze-dried sediment using elemental analyzer COSTECH ECS4010 at Lund University, Sweden. The biogenic silica concentrations were determined using weak alkaline extraction by Conley and Schleske (2002, doi:10.1007/0-306-47668-1_14) using 30 mg of freeze-dried sediment reacting with 40 ml of 0.1M Na2CO3 for 5 hours. The DSi concentration in the extracted aliquot was measured using the molybdate-blue method (Strickland and Parsons, 1972) using Smarrtchem 200, AMS System discrete analyzer. Stable silicon isotopes were performed on leached cleaned diatoms (using NaOH) cation-exchange column cleaned (Georg et al., 2006; doi:10.1016/j.chemgeo.2006.06.006) samples using MC-ICP-MS at Vegacenter, Stockholm. Water samples for DSi and stable Si isotopes were sampled in HDPE acid-washed 125ml Nalgene bottles and filtered directly in the field through a 0.45μm Sterivex filter and further acidified using HCl to pH 2. DSi was analyzed by molybdate-blue method (Strickland and Parsons, 1972 (https://epic.awi.de/id/eprint/39262/1/Strickland-Parsons_1972.pdf)) using Smarrtchem 200, AMS System discrete analyzer. Stable silicon isotopes were performed on anion and cation-exchange column cleaned (Georg et al., 2006; doi:10.1016/j.chemgeo.2006.06.006, Gaspard et al. 2021; doi:10.1029/2021gc009904) samples using MC-ICP-MS at Vegacenter, Stockholm.
    Keywords: Diatom; germanium; Holocene; lake; sediment; Silicon isotopes; Yellowstone
    Type: Dataset
    Format: application/zip, 7 datasets
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