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  • 1
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    PANGAEA
    In:  Supplement to: De Jonge, Cindy; Stadnitskaia, Alina; Hopmans, Ellen C; Cherkashov, Georgy A; Fedotov, Andrey; Sinninghe Damsté, Jaap S (2014): In situ produced branched glycerol dialkyl glycerol tetraethers in suspended particulate matter from the Yenisei River, Eastern Siberia. Geochimica et Cosmochimica Acta, 125, 476-491, https://doi.org/10.1016/j.gca.2013.10.031
    Publication Date: 2023-05-12
    Description: Soil-derived branched glycerol dialkyl glycerol tetraethers (brGDGTs) in marine river fan sediments have a potential use for determining changes in the mean annual temperature (MAT) and pH of the river watershed soils. Prior to their incorporation in marine sediments, the compounds are transported to the marine system by rivers. However, emerging evidence suggests that the brGDGTs in freshwater systems can be derived from both soil run-off and in situ production. The production of brGDGTs in the river system can complicate the interpretation of the brGDGT signal delivered to the marine system. Therefore, we studied the distribution of brGDGT lipids in suspended particulate matter (SPM) of the Yenisei River. Chromatographic improvements allowed quantification of the recently described hexamethylated brGDGT isomer, characterized by having two methyl groups at the 6/6' instead of the 5/5' positions, in an environmental dataset for the first time. This novel compound was the most abundant brGDGT in SPM from the Yenisei. Its fractional abundance correlated well with that of the 6-methyl isomer of the hexamethylated brGDGT that contains one cyclopentane moiety. The Yenisei River watershed is characterized by large differences in MAT (〉11 °C) as it spans a large latitudinal range (46-73°N), which would be expected to be reflected in brGDGT distributions of its soils. However, the brGDGT distributions in its SPM show little variation. Furthermore, the reconstructed pH values are high compared to the watershed soil pH. We, therefore, hypothesize that the brGDGTs in the Yenisei River SPM are predominantly produced in situ and not primarily derived from erosion of soil. This accounts for the absence of a change in the temperature signal, as the river water temperature is more stable. Using a lake calibration, the reconstructed temperature values agree with the mean summer temperatures (MST) recorded. The brGDGTs delivered to the sea by the Yenisei River during this season are thus not soil-derived, possibly complicating the use of brGDGTs in marine sediments for palaeoclimate reconstructions.
    Keywords: NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 2
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    Unknown
    PANGAEA
    In:  Supplement to: De Jonge, Cindy; Stadnitskaia, Alina; Hopmans, Ellen C; Cherkashov, Georgy A; Fedotov, Andrey; Streletskaya, Irina; Vasiliev, Alexander A; Sinninghe Damsté, Jaap S (2015): Drastic changes in the distribution of branched tetraether lipids in suspended matter and sediments from the Yenisei River and Kara Sea (Siberia): Implications for the use of brGDGT-based proxies in coastal marine sediments. Geochimica et Cosmochimica Acta, 165, 200-225, https://doi.org/10.1016/j.gca.2015.05.044
    Publication Date: 2023-05-12
    Description: The distribution of branched glycerol dialkyl glycerol tetraethers (brGDGTs) in soils has been shown to correlate with pH and mean annual air temperature. Because of this dependence brGDGTs have found an application as palaeoclimate proxies in coastal marine sediments, based on the assumption that their distribution is not altered during the transport from soils to marine systems by rivers. To study the processes acting on the brGDGT distributions, we analysed the full suite of brGDGTs, including the recently described 6-Me brGDGTs, in both the suspended particulate matter (SPM) of the Siberian Yenisei River and the SPM and sediments of its outflow in the Kara Sea. The brGDGT distribution in the SPM of the Yenisei River was fairly constant and characterized by high abundances of the 6-Me brGDGTs, reflecting their production at the neutral pH of the river water. However, the brGDGT distribution showed marked shifts in the marine system. Firstly, in the Yenisei River Mouth, the fractional abundance of the 6-Me brGDGTs decreases sharply. The brGDGT signature in the Yenisei River Mouth possibly reflects brGDGTs delivered during the spring floods that may carry a different distribution. Also, coastal cliffs were shown to contain brGDGTs and to influence especially those sites without major river inputs (e.g. Khalmyer Bay). Further removed from the river mouth, in-situ production of brGDGTs in the marine system influences the distribution. However, also the fractional abundance of the tetramethylated brGDGT Ia increases, resulting in a distribution that is distinct from in-situ produced signals at similar latitudes (Svalbard). We suggest that this shift may be caused by preferential degradation of labile (riverine in-situ produced) brGDGTs and the subsequent enrichment in less labile (soil) material. The offshore distribution indeed agrees with the brGDGT distribution encountered in a lowland peat. This implies that the offshore Kara Sea sediments possibly carry a soil-dominated signal, indicating potential for palaeoclimate reconstructions at this site. Both in the river system and coastal cliffs, brGDGTs were much more abundant than crenarchaeol, an archaeal isoprenoid GDGT, resulting in high (〉0.93) Branched and Isoprenoid Tetraether (BIT) index values. Moving downstream in the marine sediments, a decrease in brGDGT concentrations, coeval with an increase in crenarchaeol, resulted in decreasing BIT index values. This decrease correlates with changes in bulk proxies for terrigenous input (d13Corg, C/N), confirming the use of the BIT index to trace the delivery of river-transported and coastal cliff-derived terrigenous organic matter.
    Keywords: NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 3
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: De Jonge, Cindy; Stadnitskaia, Alina; Fedotov, Andrey; Sinninghe Damsté, Jaap S (2015): Impact of riverine suspended particulate matter on the branched glycerol dialkyl glycerol tetraether composition of lakes: The outflow of the Selenga River in Lake Baikal (Russia). Organic Geochemistry, 83-84, 241-252, https://doi.org/10.1016/j.orggeochem.2015.04.004
    Publication Date: 2023-05-12
    Description: Branched glycerol dialkyl glycerol tetraethers (brGDGTs) are bacterial membrane lipids found in several environments, including soils, rivers and lakes, whose distribution varies with temperature and pH, although this dependence is apparently not the same for the different environments. Mixing of brGDGT sources may thus complicate palaeoenvironmental reconstruction. The extent to which brGDGTs in a lake outflow reflect the distribution delivered by upstream rivers was studied for Lake Baikal (Russia), one of the largest freshwater lakes worldwide. Fifteen brGDGTs in suspended particulate matter (SPM) of the Selenga River and its outflow from the lake were quantified. The river and lake SPM had rather different distributions. The riverine distribution was still apparent in the SPM of the lake surface water 5 km from the river mouth, but shifts in the distribution were already apparent in the SPM of the surface water after 1 km. Based on the brGDGT distributions of the SPM of the Selenga outflow and that of the lake, conservative mixing between the river and the lake brGDGT distributions could not fully explain the observed shifts in distributions. Both preferential degradation and in situ production of brGDGTs in the surface and, especially, bottom water of the river outflow were potentially responsible. This implies that a riverine lipid distribution delivered to a lake can be modified prior to being transported downstream. The lacustrine brGDGT distribution, that possibly could have reflected a mixture of mountainous and Selenga River SPM, was not recognized in downstream Yenisei River SPM. The watershed of Lake Baikal thus does not seem to contribute to the brGDGTs transported to the marine system. As many large rivers have major lakes in their watershed, this has implications for palaeoclimate reconstruction from river fan sediments globally.
    Keywords: NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 4
    Publication Date: 2023-05-12
    Keywords: Baikal_B1; Baikal_B3; Baikal_B5; Baikal_Ba; Baikal_MIR; Baikal_S1; Baikal_S3; Baikal_S5; Baikal_SR; Baikal_SRM; Baikal_Y1; Baikal_Y2; Carbon, organic, particulate; DEPTH, water; Distance; Event label; Lake Baikal, Russia; Latitude of event; Longitude of event; NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University; pH; Temperature, water; Water sample; WS; Yenisei, Siberia, Russia; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 55 data points
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  • 5
    Publication Date: 2023-05-12
    Keywords: Carbon, organic, particulate; DEPTH, water; Event label; Kara Sea; Khalmyer Bay, Siberia, Russia; Latitude of event; Location of event; Longitude of event; Mountain River, Siberia, Russia; MULT; Multiple investigations; NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University; Ob outflow, Siberia, Russia; Siberia_KB1; Siberia_KB2; Siberia_KB3; Siberia_KB4; Siberia_KG1; Siberia_KG2; Siberia_KS1; Siberia_KS2; Siberia_KS3; Siberia_KS4; Siberia_MR1; Siberia_MR2; Siberia_OO1; Siberia_OO2; Siberia_SR1; Siberia_YG1; Siberia_YG2a; Siberia_YG2b; Siberia_YG3; Siberia_YG4; Siberia_YG5; Siberia_YG6; Siberia_YG7; Siberia_YG8; Siberia_YG9; Siberia_YM1; Siberia_YM2; Siberia_YM3; Siberia_YM4; Siberia_YM5; Siberia_YO1; Siberia_YO2; Siberia_YO3; Siberia_YR1; Siberia_YR2; Siberia_YR3; Siberia_YR4; Siberia_YR5; Siberia_YR6; Siberia_YR7; Siberia_YR8; Siberia_YR9; Yenisei, Siberia, Russia; Yenisei Gulf, Siberia, Russia; Yenisei Outflow, Siberia, Russia; Yenisei River Mouth, Siberia, Russia; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 65 data points
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  • 6
    Publication Date: 2023-05-12
    Keywords: Baikal_B1; Baikal_B3; Baikal_B5; Baikal_Ba; Baikal_MIR; Baikal_S1; Baikal_S3; Baikal_S5; Baikal_SR; Baikal_SRM; Baikal_Y1; Baikal_Y2; Branched and isoprenoid tetraether index; 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, IIc; Branched glycerol dialkyl glycerol tetraether, IIc'; Branched glycerol dialkyl glycerol tetraether, IIIa; Branched glycerol dialkyl glycerol tetraether, IIIa'; Branched glycerol dialkyl glycerol tetraether, IIIb; Branched glycerol dialkyl glycerol tetraether, IIIb'; Branched glycerol dialkyl glycerol tetraether, IIIc; Branched glycerol dialkyl glycerol tetraether, IIIc'; Branched glycerol dialkyl glycerol tetraether, per unit mass total organic carbon; Crenarchaeol, per unit mass total organic carbon; DEPTH, water; Event label; Isomer ratio; Lake Baikal, Russia; Latitude of event; Longitude of event; NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University; pH; Reconstructed; Temperature, summer mean; Water sample; WS; Yenisei, Siberia, Russia
    Type: Dataset
    Format: text/tab-separated-values, 220 data points
    Location Call Number Expected Availability
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  • 7
    Publication Date: 2023-05-12
    Keywords: Branched and isoprenoid tetraether index; 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, IIc; Branched glycerol dialkyl glycerol tetraether, IIc'; Branched glycerol dialkyl glycerol tetraether, IIIa; Branched glycerol dialkyl glycerol tetraether, IIIa'; Branched glycerol dialkyl glycerol tetraether, IIIb; Branched glycerol dialkyl glycerol tetraether, IIIb'; Branched glycerol dialkyl glycerol tetraether, IIIc; Branched glycerol dialkyl glycerol tetraether, IIIc'; Branched glycerol dialkyl glycerol tetraether, per unit mass total organic carbon; Calculated after Hopmans et al. (2004); Crenarchaeol, per unit mass total organic carbon; DEPTH, water; Event label; Kara Sea; Khalmyer Bay, Siberia, Russia; Latitude of event; Location of event; Longitude of event; Mountain River, Siberia, Russia; MULT; Multiple investigations; NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University; Ob outflow, Siberia, Russia; pH; Reconstructed; Sample type; Siberia_KB1; Siberia_KB2; Siberia_KB3; Siberia_KB4; Siberia_KG1; Siberia_KG2; Siberia_KS1; Siberia_KS2; Siberia_KS3; Siberia_KS4; Siberia_MR1; Siberia_MR2; Siberia_OO1; Siberia_OO2; Siberia_SR1; Siberia_YG1; Siberia_YG2a; Siberia_YG2b; Siberia_YG3; Siberia_YG4; Siberia_YG5; Siberia_YG6; Siberia_YG7; Siberia_YG8; Siberia_YG9; Siberia_YM1; Siberia_YM2; Siberia_YM3; Siberia_YM4; Siberia_YM5; Siberia_YO1; Siberia_YO2; Siberia_YO3; Siberia_YR1; Siberia_YR2; Siberia_YR3; Siberia_YR4; Siberia_YR5; Siberia_YR6; Siberia_YR7; Siberia_YR8; Siberia_YR9; Temperature, annual mean; Yenisei, Siberia, Russia; Yenisei Gulf, Siberia, Russia; Yenisei Outflow, Siberia, Russia; Yenisei River Mouth, Siberia, Russia
    Type: Dataset
    Format: text/tab-separated-values, 1106 data points
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  • 8
    Publication Date: 2023-05-12
    Keywords: Branched and isoprenoid tetraether index; 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, IIc; Branched glycerol dialkyl glycerol tetraether, IIc'; Branched glycerol dialkyl glycerol tetraether, IIIa; Branched glycerol dialkyl glycerol tetraether, IIIa'; Branched glycerol dialkyl glycerol tetraether, IIIb; Branched glycerol dialkyl glycerol tetraether, IIIb'; Branched glycerol dialkyl glycerol tetraether, IIIc; Branched glycerol dialkyl glycerol tetraether, IIIc'; Branched glycerol dialkyl glycerol tetraether, per unit mass total organic carbon; Calculated after Hopmans et al. (2004); Crenarchaeol, per unit mass total organic carbon; DEPTH, sediment/rock; Elevation of event; Event label; Kara Sea; Khalmyer Bay, Siberia, Russia; Latitude of event; Location of event; Longitude of event; MULT; Multiple investigations; NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University; Ob outflow, Siberia, Russia; pH; Reconstructed; Sample type; Siberia_KB1; Siberia_KB2; Siberia_KB3; Siberia_KB4; Siberia_KG1; Siberia_KG2; Siberia_KS1; Siberia_KS2; Siberia_KS3; Siberia_KS4; Siberia_OO1; Siberia_OO2; Siberia_YG1; Siberia_YG2b; Siberia_YG3; Siberia_YG7; Siberia_YG8; Siberia_YG9; Siberia_YM2; Siberia_YM3; Siberia_YM4; Siberia_YO1; Siberia_YO2; Siberia_YO3; Temperature, annual mean; Yenisei Gulf, Siberia, Russia; Yenisei Outflow, Siberia, Russia; Yenisei River Mouth, Siberia, Russia
    Type: Dataset
    Format: text/tab-separated-values, 919 data points
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  • 9
    Publication Date: 2023-05-12
    Keywords: Elevation of event; Event label; Latitude of event; Longitude of event; NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University; Temperature, annual mean; Temperature, summer mean; W1_Bayanhongor; W10_Kirensk; W11_Vanavara; W12_Erbogacen; W13_Bor; W14_Bajkit; W15_Tura; W16_Turuhansk; W17_Dikson; W2_Ulaanbatar; W3_Tosontsengel; W4_Hatgal; W5_Irkutsk; W6_Minusinsk; W7_Zhigalovo; W8_Nizhneudinsk; W9_Krasnojarsk; Weather station/meteorological observation; WST
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 10
    Publication Date: 2023-05-12
    Keywords: Carbon, organic, total; DEPTH, sediment/rock; Elevation of event; Event label; Kara Sea; Khalmyer Bay, Siberia, Russia; Latitude of event; Location of event; Longitude of event; MULT; Multiple investigations; NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University; Nitrogen, total; Ob outflow, Siberia, Russia; Siberia_CC_YG1; Siberia_CC_YG2; Siberia_CC_YG3; Siberia_CC_YM1; Siberia_CC_YM2; Siberia_CC_YM3; Siberia_CC_YM4; Siberia_CC_YM6; Siberia_CC_YM8; Siberia_CC_YM9; Siberia_KB1; Siberia_KB2; Siberia_KB3; Siberia_KB4; Siberia_KG1; Siberia_KG2; Siberia_KS1; Siberia_KS2; Siberia_KS3; Siberia_KS4; Siberia_OO1; Siberia_OO2; Siberia_YG1; Siberia_YG2b; Siberia_YG3; Siberia_YG7; Siberia_YG8; Siberia_YG9; Siberia_YM2; Siberia_YM3; Siberia_YM4; Siberia_YO1; Siberia_YO2; Siberia_YO3; Siberia, Russia; Yenisei Gulf, Siberia, Russia; Yenisei Outflow, Siberia, Russia; Yenisei River Mouth, Siberia, Russia; δ13C, organic carbon; δ15N
    Type: Dataset
    Format: text/tab-separated-values, 136 data points
    Location Call Number Expected Availability
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