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  • Wiley  (46)
  • PANGAEA  (7)
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Keywords
  • 1
    Publication Date: 2023-06-27
    Keywords: Age, dated; Age, dated standard deviation; Calendar age, maximum/old; Calendar age, minimum/young; Carbon mass; Carbon yield; CON01-6; CON01-603-5; CON01-605-5; CON01-606-3; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Event label; KAL; Kasten corer; Laboratory code/label; Lake Baikal, Russia; Latitude of event; Longitude of event; Purity; Sample code/label; Sample volume; Vereshchagin; δ13C, organic carbon; δ13C, organic carbon, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 476 data points
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  • 2
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    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2023-06-27
    Keywords: Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; EPD; Lake Van, Turkey; Lithology/composition/facies; PCUWI; Piston corer, UWITEC; VAN04-2
    Type: Dataset
    Format: text/tab-separated-values, 27 data points
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  • 3
    Publication Date: 2023-06-27
    Keywords: Age, 14C AMS; Age, dated; Age, dated, error to older; Age, dated, error to younger; Age model; Age model in radiocarbon 14C ages; Calculated; CON01-6; CON01-606-3; CONTINENT; DEPTH, sediment/rock; High-resolution Continental Paleoclimate Record in Lake Baikal; KAL; Kasten corer; Lake Baikal, Russia; Mass spectrometer Finnigan Delta-E; Vereshchagin; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 45 data points
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  • 4
    Publication Date: 2023-09-01
    Type: Dataset
    Format: application/zip, 11.5 MBytes
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  • 5
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    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2023-11-01
    Keywords: Abies; Acer; Aesculus; Allium; Alnus; Anemone coronaria-type; Apiaceae; Armeria; Artemisia; Atraphaxis; Betula; Bongardia; Boraginaceae; Botryococcus; Brassicaceae; Bryophyta; Bupleurum; Campanulaceae; Cannabis-type; Capsicum-type; Carpinus; Carpinus betulus; Carpinus orientalis; Caryophyllaceae; Castanea; Cedrus; Centaurea cyanus; Centaurea solstitialis; Centaurea undifferentiated; Cerealia; cf. Acanthaceae; cf. Gentianella-type; cf. Tsuga; Chenopodiaceae; Concentration spikes; Corylus; Counting, palynology; Cousinia-type; Cyperaceae; Daphne; DEPTH, sediment/rock; Dipsacaceae; Echium; EPD; Ephedra distachya-type; Ephedra fragilis-type; Ericaceae; Erodium; Eryngium; Euphorbia; Fabaceae; Fagopyrum; Fagus; Filipendula; Fraxinus; Galium-type; Gundelia-type; Hedera; Helianthemum; Herniaria-type; Hippophae; Hydrocharitaceae; Hypericum; Indeterminable: broken; Iridaceae; Juglans; Juniperus; Knautia; Lake Van, Turkey; Lamiaceae; Leontice; Liguliflorae; Liliaceae; Linum; Lycopodium; Mentha-type; Myriophyllum; Olea; Onobrychis; Onosma; Palynomorpha; Papaver; Papaveraceae; PCUWI; Pediastrum; Picea; Pinus; Pistacia; Piston corer, UWITEC; Plantago coronopus; Plantago lanceolata; Plantago maritima; Plantago undifferentiated; Platanus; Pleurospermum; Plumbaginaceae; Poaceae; Polygonum aviculare-type; Polygonum bistorta-type; Polygonum oxyspermum; Polygonum persicaria-type; Polygonum undifferentiated; Polypodiaceae; Populus; Potamogeton; Potentilla-type; Prunus-type; Pteridium; Pulmonaria-type; Quercus; Quercus calliprinos-type; Ranunculus acris-type; Ranunculus arvensis; Ranunculus parviflorus; Ranunculus undifferentiated; Rhamnus; Rheum; Rosaceae; Rumex; Salix; Sanguisorba minor-type; Sanguisorba officinalis; Saxifraga; Scrophulariaceae; Secale; Sisyrinchium; Sparganium; Succisa-type; Symphytum; Tamarix; Tetraedron; Teucrium; Thalictrum; Tilia; Tilletia; Tubuliflorae; Turgenia; Typha angustifolia; Ulmus; Urtica-type; Utricularia; VAN04-2; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 15096 data points
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  • 6
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    PANGAEA
    In:  Supplement to: Litt, Thomas; Krastel, Sebastian; Sturm, Michael; Kipfer, Rolf; Örcen, Sefer; Heumann, Georg; Franz, Sven-Oliver; Ulgen, Umut; Niessen, Frank (2009): 'PALEOVAN', International Continental Scientific Drilling Program (ICDP): site survey results and perspectives. Quaternary Science Reviews, 28(15-16), 1555-1567, https://doi.org/10.1016/j.quascirev.2009.03.002
    Publication Date: 2023-11-03
    Description: Lake Van is the fourth largest terminal lake in the world (volume 607 km**3, area 3570 km**2, maximum depth 460 m), extending for 130 km WSW?ENE on the Eastern Anatolian High Plateau, Turkey. The sedimentary record of Lake Van, partly laminated, has the potential to obtain a long and continuous continental sequence that covers several glacial?interglacial cycles (ca 500 kyr). Therefore, Lake Van is a key site within the International Continental Scientific Drilling Program (ICDP) for the investigation of the Quaternary climate evolution in the Near East ('PALEOVAN'). As preparation for an ICDP drilling campaign, a site survey was carried out during the past years. We collected 50 seismic profiles with a total length of ~850 km to identify continuous undisturbed sedimentary sequences for potential ICDP locations. Based on the seismic results, we cored 10 different locations to water depths of up to 420 m. Multidisciplinary scientific work at positions of a proposed ICDP drill site included measurements of magnetic susceptibility, physical properties, stable isotopes, XRF scans, and pollen and spores. This core extends back to the Last Glacial Maximum (LGM), a more extended record than all the other Lake Van cores obtained to date. Both coring and seismic data do not show any indication that the deepest part of the lake (Tatvan Basin, Ahlat Ridge) was dry or almost dry during past times. These results show potential for obtaining a continuous undisturbed, long continental palaeoclimate record. In addition, this paper discusses the potential of 'PALEOVAN' to establish new results on the dynamics of lake level fluctuations, noble gas concentration in pore water of the lake sediment, history of volcanism and volcanic activities based on tephrostratigraphy, and paleoseismic and earthquake activities.
    Keywords: Abies; Acer; Aesculus; Allium; Alnus; Ameria; Anemone coronaria-type; Apiaceae; Artemisia; Atraphaxis; Berberidaceae; Betula; Bongardia; Boraginaceae; Botryococcus; Brassicaceae; Bryophyta; Bupleurum; Callitriche; Campanulaceae; Cannabis-type; Capsicum-type; Carpinus betulus; Carpinus orientalis; Carpinus sp.; Caryophyllaceae; Castanea; Cedrus; Centaurea cyanus; Centaurea solstitialis; Centaurea sp.; Cerealia; cf. Acanthaceae; cf. Gentianella-type; cf. Tsuga; Chenopodiaceae; Corylus; Cousinia-type; Cyperaceae; Daphne; DEPTH, sediment/rock; Dipsacaceae; Echium; Ephedra distachya-type; Ephedra fragilis-type; Ericaceae; Erodium; Eryngium; Euphorbium; Fabaceae; Fagopyrum; Fagus; Filipendula; Fraxinus; Galium-type; Gundelia-type; Hedera; Helianthemum; Herniaria-type; Hippophae; Hydrocharitaceae; Hypericum; Iridaceae; Juglans; Juniperus; Knautia; Lake Van, Turkey; Lamiaceae; Leontice; Liguliflorae; Liliaceae; Linum; Lycopodium; Mentha-type; Myriophyllum; Olea; Onobrychis; Onosma; Palynomorpha, broken; Palynomorpha indeterminata; Papaver; Papaveraceae; PCUWI; Pediastrum; Picea; Pinus; Pistacia; Piston corer, UWITEC; Plantago coronopus; Plantago lanceolata; Plantago maritima; Plantago sp.; Platanus; Pleurospermum; Plumbaginaceae; Poaceae; Pollen, total; Polygonium aviculare-type; Polygonum bistorta-type; Polygonum oxyspermum; Polygonum persicaria-type; Polygonum sp.; Polypodiaceae; Populus; Potamogeton; Potentilla-type; Prunus-type; Pteridium; Pulmonaria-type; Quercus calliprinos-type; Quercus sp.; Ranunculus acris-type; Ranunculus arvensis; Ranunculus parviflorus; Ranunculus sp.; Rhamnus; Rheum; Rosaceae; Rumex; Salix; Sanguisorba minor-type; Sanguisorba officinalis; Saxifraga; Scrophulariaceae; Secale; Sisyrinchium; Sparganium; Succisa-type; Symphytum; Tamarix; Tetraedron; Teucrium; Thalictrum; Tilia; Tilletia; Tubuliflorae; Turgenia; Typha angustifolia; Ulmus; Urtica-type; Utricularia; VAN04-2; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 15318 data points
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  • 7
    Publication Date: 2024-03-06
    Keywords: Abies sibirica; Aconitum; Actaea; Alchemilla; Allium; Alnus hirsuta-type; Andromeda; Anemone; Anthemis-type; Apiaceae; Aquilegia sp.; Arctostaphylos; Arenaria-type; Artemisia; Asplenium ruta-muraria; Asteraceae asteroideae undifforma; Aster-type; Astragalus-type; Athyrium alpestre; Athyrium filix-femina; Bergenia crassifolia; Betula sect. Albae; Betula sect. Fruticosae; Betula sect. Nanae; Boraginaceae; Botrychium; Botrychium lunaria-type; Brassicaceae; Bupleurum; Caltha-type; Campanula-type; Caryophyllaceae indeterminata; Cassiope; Centaurea nigra-type; Centaurea scabiosa-type; Centaurea sp.; Chenopodiaceae; Chrysosplenium; Cichorioideae undifforma; Cirsium; Clematis; CON01-6; CON01-603-5; CONTINENT; Cotoneaster; Counting, palynology; Cyperaceae indeterminata; Cystopteris fragilis; Cystopteris indeterminata; DEPTH, sediment/rock; Diphasium complanatum-type; Dryas; Dryopteris carthusiana-type; Dryopteris-type; Duschekia fruticosa; Elymus-type; Empetrum nigrum; Ephedra distachya-type; Ephedra fragilis-type; Epilobium-type; Equisetum; Ericaceae indeterminata; Euphorbia; Frangula alnus; Galium-type; Gentianaceae indeterminata; Gentiana pneumonanthe-type; Gentianella campestris-type; Geum-type; Gymnocarpium dryopteris; Hedysarum; High-resolution Continental Paleoclimate Record in Lake Baikal; Hippophae; Hippuris; Humulus and Cannabis; Huperzia; Illecebrun-type; Iris germanica-type; Juniperus; KAL; Kasten corer; Knautia; Koenigia islandica; Lake Baikal, Russia; Larix; Ledum palustre; Lilium; Linnaea borealis; Lonicera; Lychnis; Lycopodiaceae sp.; Lycopodium annotinum; Lycopodium clavatum; Lycopodium inundatum; Lysimachia; Lythrum; Maianthemum bifolium; Marker, added; Marker, found; Menyanthes trifoliata; Myosotis; Myricaria; Myriophyllum spicatum; Myriophyllum verticillatum; Nitraria; Nuphar; Nymphaea; Nymphoides peltata; Oxyria/Rumex subgen. Acetosa; Oxyria digyna; Palynomorpha; Papaver; Papaver argemone-type; Parnassia; Pedicularis oederi-type; Picea obovata; Pinus sibirica; Pinus sylvestris-type; Plantago indeterminata; Plantago maritima-type; Plumbaginaceae; Poaceae; Polemonium; pollen analytical standard techniques (Faegri & Iversen, 1989, Textbook Pollen); Polygonatum; Polygonum; Polygonum amphibium; Polygonum aviculare-type; Polygonum bistorta-type; Polygonum sect. Persicaria; Polygonum viviparum; Polypodium; Polystichum; Populus; Potamogeton; Potentilla-type; Primula; Prunus; Pteridium aquilinum; Pteridophyta, monolete psilate; Pteridophyta, monolete verrucate; Pteridophyta, monolete with perine; Pteridophyta, trilete indeterminata; Pulsatilla-type; Ranunculaceae; Ranunculus acris-type; Ranunculus aquatilis-type; Ranunculus flammula-type; Rhamnus; Rhinanthus-type; Rhododendron; Ribes; Riccia; Rosa; Rosaceae; Rosaceae indeterminata; Rubus-type; Rumex; Rumex acetosa-type; Rumex conglomeratus-type; Rumex obtusifolius-type; Salix; Sambucus; Sample code/label; Sample volume; Sanguisorba officinalis; Saussurea-type; Saxifraga granulata-type; Saxifraga hirsuta; Saxifraga hypnoides-type; Saxifraga oppositifolia-type; Saxifraga stellaris-type; Scirpus-type; Scorzonera-type; Scrophulariaceae; Scrophularia-type; Scutellaria; Sedum-type; Selaginella; Selaginella apoda; Selaginella helvetica; Selaginella rupestris; Selaginella sanguinolenta; Selaginella selaginoides; Serratula-type; Silene dioica-type; Solanum dulcamara-type; Sorbus; Sparganium; Spergula-type; Sphagnum; Spiraea; Sporomorphes, total; Stachys-type; Swertia; Thalictrum; Thelypteris palustris; Thymus-type; Tofieldia; Trientalis europaea; Trifolium-type; Triticum-type; Trollius; Typha angustifolia-type; Typha latifolia-type; Ulnus; Urticaceae; Utricularia; Vaccinium-type; Valeriana; Valerianaceae; Vereshchagin; Veronica-type; Woodsia-type; Xanthium-type
    Type: Dataset
    Format: text/tab-separated-values, 28222 data points
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  • 8
    Publication Date: 2013-02-14
    Description: Recently, indirect evidence was obtained for inhibition of soil net N mineralization by sterols in soil organic matter, which could have been caused by their antioxidant or antimicrobial properties. The objective of this study was to test the effect of potential inhibitors ( i.e., individual compounds with known antioxidant and/or antimicrobial properties) on soil microbial mineralization processes during incubation for 7 and 14 d. A sandy agricultural soil was amended with four substances: two phenolic acids differing in their antioxidant capacity (AOC) (acetovanillone with no AOC, ferulic acid with large AOC), Trolox, an analogue of vitamin E (large AOC), and β-sitosterol (no AOC, but potential antimicrobial properties). The two compounds with large AOC (ferulic acid and Trolox) showed no significant inhibition of C and net N mineralization; and the Trolox amendment actually caused a significant increase in C and net N mineralization after 7 d of incubation. Acetovanillone with no measurable AOC caused a significant increase in C mineralization (109% of substance C added), indicating degradation of the substance, and a very pronounced negative net N mineralization within 7 d (–356%), which was interpreted as N immobilization. Only β-sitosterol showed strong inhibition of net N mineralization after 7 and 14 d (–59% and –26%, respectively) which was not interpreted as N immobilization, since there was no concomitant increase in C mineralization. Thus, an antimicrobial effect of β-sitosterol specificly on microorganisms of the N cycle was suggested, but there was no clear inhibitory effect caused by the antioxidant compounds.
    Print ISSN: 1436-8730
    Electronic ISSN: 1522-2624
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Published by Wiley
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  • 9
    Publication Date: 2011-03-22
    Description: Unusually low net N mineralization in soils relatively rich in total organic C and N was repeatedly reported for sandy arable soils in NW Europe. In order to adequately account for it in simulation models, it is necessary to know the involved substances and processes. Therefore, 9 arable top soils (〈 6% clay) with a wide range of total organic C (1.1%–5.2%) and C : N ratios (12–35) were studied. The soils varied strongly in the mineralizability of soil organic N which was determined via long-term laboratory incubations (〉 200 d). It was hypothesized that mineralization was controlled by antioxidants, and the Trolox equivalent antioxidant capacity (TEAC) of the soils was measured. In addition, pyrolysis–field ionization mass spectrometry (Py-FIMS) was applied to investigate the influence of the molecular-chemical composition of soil organic matter. In these soils, the compound class of sterols from Py-FIMS analysis was most closely, negatively correlated with the mineralizability of soil organic N ( r 〈?h.3〉 2 = 0.75, p = 0.003). This was probably not an antioxidative effect, because the TEAC values did not correlate sufficiently with the mineralizability and the sterol intensities. However, the negative relation with sterols could be causal, since the correlation was about as close with other components of the compound class of sterols and even closer with the main plant sterol beta-sitosterol ( r 〈?h.3〉 2 = 0.84, p = 0.001). In addition, the variability among samples was strongly governed by the proportions of sterols, and sterols also had a high discriminating power in discriminant analysis. Furthermore, the proportions of sterols were extraordinary in those arable podzol soils that developed under previous heath- or woodland (up to 10.2% of total ion intensity from Py-FIMS). In conclusion, the inhibitory effect of these compounds needs to be investigated in more detail in order to optimize parameterization of N as well as C simulation models especially for podzolized, sandy arable soils with former heath- or woodland vegetation.
    Print ISSN: 1436-8730
    Electronic ISSN: 1522-2624
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Published by Wiley
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  • 10
    Publication Date: 2016-12-10
    Description: The forest – steppe ecotone in southern Siberia is highly sensitive to climate change; global warming is expected to push the ecotone northwards, at the same time resulting in degradation of the underlying permafrost. To gain a deeper understanding of long-term forest – steppe carbon dynamics, we use a highly-resolved, multiproxy, palaeolimnological approach, based on sediment records from Lake Baikal. We reconstruct proxies that are relevant to understanding carbon dynamics including carbon mass accumulation rates (CMAR; g C m −2 yr −1 ) and isotope composition of organic matter ( δ 13 C TOC ). Forest – steppe dynamics were reconstructed using pollen, and diatom records provided measures of primary production from near- and off-shore communities. We used a Generalized Additive Model (GAM) to identify significant change points in temporal series, and by applying generalised linear least-squares regression modelling to components of the multiproxy data, we address: (1) what factors influence carbon dynamics during early Holocene warming and late Holocene cooling?; (2) how did carbon dynamics respond to abrupt sub-Milankovitch scale events?; and (3) what is the Holocene carbon storage budget for Lake Baikal. CMAR values range between 2.8 – 12.5 g C m −2 yr −1 . Peak burial rates (and greatest variability) occurred during the early Holocene, associated with melting permafrost and retreating glaciers, while lowest burial rates occurred during the neoglacial. Significant shifts in carbon dynamics at 10.3, 4.1 and 2.8 kyr BP, provide compelling evidence for the sensitivity of the region to sub-Milankovitch drivers of climate change. We estimate that 1.03 Pg C were buried in Lake Baikal sediments during the Holocene, almost one quarter of which was buried during the early Holocene alone. Combined, our results highlight the importance of understanding the close linkages between carbon cycling and hydrological processes, not just temperatures, in southern Siberian environments. This article is protected by copyright. All rights reserved.
    Print ISSN: 1354-1013
    Electronic ISSN: 1365-2486
    Topics: Biology , Energy, Environment Protection, Nuclear Power Engineering , Geography
    Published by Wiley
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