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  • 2015-2019  (4,201,790)
  • 2000-2004  (1,611,630)
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  • 1
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    Naturalis Biodiversity Center
    In:  Blumea: Biodiversity, Evolution and Biogeography of Plants vol. 64 no. 3, pp. 216-224
    Publication Date: 2024-06-15
    Description: Two new species of Inversodicraea, I. koukoutamba and I. tassing, both from the Republic of Guinea, are described as new to science, increasing the number of species known in this African genus to 32, making it the most species-diverse among African Podostemaceae. Both species are remarkable, among other features, for their styles. Inversodicraea koukoutamba is only the third species of the genus with 3, not 2 styles, and is unique in the genus, and in the family, in having each style bifurcate. Inversodicraea tassing has styles equal or exceeding the length of the ovary, being nearly twice as long as those of the species which previously was noted for the longest styles in the genus. Both new species are single-site endemics, the first is assessed here as Critically Endangered according to the IUCN 2012 standard, due to the incipient construction of the World Bank backed Koukoutamba hydroelectric dam which threatens several other plant species assessed as Critically Endangered or Endangered. The second species, I. tassing, is assessed as Near Threatened, since there are currently no threats known at present to the single known site.
    Keywords: Plant Science ; Ecology ; Evolution ; Behavior and Systematics ; Bafing River ; conservation ; dams ; extinct ; Guinea ; hydroelectricity ; OMVS ; waterfalls ; World Bank
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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  • 2
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    PANGAEA
    In:  Supplement to: Wilson, Moyra E J; Hirano, Satoshi; Fergusson, Christopher L; Steurer, Joan; Underwood, Michael B (2003): Data report: Sedimentological and petrographic characteristics of volcanic ashes and siliceous claysontes (altered ashes) from Sites 1173, 1174, and 1177, Leg 190. In: Mikada, H; Moore, GF; Taira, A; Becker, K; Moore, JC; Klaus, A (eds.) Proceedings of the Ocean Drilling Program, Scientific Results, College Station, TX (Ocean Drilling Program), 190/196, 1-9, https://doi.org/10.2973/odp.proc.sr.190196.204.2003
    Publication Date: 2024-06-15
    Description: Leg 190 was the first of a two-leg program across the Nankai accretionary prism and Trough, offshore Japan, aiming to evaluate existing models for prism evolution and to constrain syntectonic sedimentation, deformation styles, mechanical properties, and prism hydrology (Moore, Taira, Klaus, et al., 2001; Moore et al., 2001). More than 400 volcanic ash and siliceous claystone (altered ash) layers were penetrated and sampled during drilling of the six sites from two transects across the accretionary prism (Sites 1173-1178). In sites from the subducting Shikoku Basin (Sites 1173 and 1177) and in the trench axis (Site 1174), recognition of ash layers and diagenetically altered ashes was initially important in defining major lithostratigraphic units. However, it is clear that understanding the diagenesis of the volcanic ashes has considerable implications for prism evolution, mechanical properties, prism hydrology, geochemistry, and fluid flow in the accretionary prism and associated subducting sediments (cf. Masuda et al., 1996, doi 10.1346/CCMN.1996.0440402). Particle size, chemical composition, temperature, depth of burial, and time are all thought to be factors that may affect volcanic ash diagenesis and preservation (Kuramoto et al., 1992, doi:10.2973/odp.proc.sr.127128-2.235.1992; Underwood et al., 1993, doi:10.2973/odp.proc.sr.131.137.1993). The overall aim of this research is to evaluate factors influencing volcanic ash diagenesis in the Nankai Trough area. This data report presents just the results of the sedimentological and petrographic analysis of the volcanic ashes and siliceous claystones from Sites 1173, 1174, and 1177. It is anticipated that when the results of additional geochemical analysis of these lithologies is available a more meaningful evaluation of factors influencing volcanic ash alteration will be possible.
    Keywords: 190-1173A; 190-1174A; 190-1174B; 190-1177A; DRILL; Drilling/drill rig; Joides Resolution; Leg190; Ocean Drilling Program; ODP; Philippine Sea
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 3
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    PANGAEA
    In:  Supplement to: Gould, Jessica; Kienast, Markus; Dowd, M; Schefuß, Enno (2019): An open-ocean assessment of alkenone δD as a paleo-salinity proxy. Geochimica et Cosmochimica Acta, 246, 478-497, https://doi.org/10.1016/j.gca.2018.12.004
    Publication Date: 2024-06-15
    Description: Sea surface salinity (SSS) is the least constrained major variable of the past (paleo) ocean but is fundamental in controlling the density of seawater and thus large-scale ocean circulation. The hydrogen isotopic composition (δD) of non-exchangeable hydrogen of algal lipids, specifically alkenones, has been proposed as a promising new proxy for paleo SSS. The δD of surface seawater is correlated with SSS, and laboratory culture studies have shown the δD of algal growth water to be reflected in the δD of alkenones. However, a large-scale field study testing the validity of this proxy is still lacking. Here we present the δD of open-ocean Atlantic and Pacific surface waters and coincident δD of alkenones sampled by underway filtration. Two transects of approximately 100° latitude in the Atlantic Ocean and more than 50° latitude in the Western Pacific sample much of the range of open ocean salinities and seawater δD, and thus allow probing the relationship between δD of seawater and alkenones. Overall, the open ocean δD alkenone data correlate significantly with SSS, and also agree remarkably well with δD water vs δD alkenone regressions developed from culture studies. Subtle deviations from these regressions are discussed in the context of physiological factors as recorded in the carbon isotopic composition of alkenones. In a best-case scenario, the data presented here suggest that SSS variations as low as 1.2 can be reconstructed from alkenone δD.
    Keywords: Alkenone, C37; Alkenone, C37, δ13C; Alkenone, C37, δ13C, standard deviation; Alkenone, unsaturation index UK'37; Alkenones; AMT_1; AMT_10; AMT_11; AMT_12; AMT_13; AMT_14; AMT_15; AMT_17; AMT_18; AMT_19; AMT_2; AMT_20; AMT_21; AMT_22; AMT_23; AMT_25; AMT_27; AMT_28; AMT_29; AMT_3; AMT_30; AMT_31; AMT_32; AMT_34; AMT_35; AMT_36; AMT_37; AMT_38; AMT_4; AMT_40; AMT_41; AMT_42; AMT_43; AMT_45; AMT_46; AMT_47; AMT_48; AMT_49; AMT_5; AMT_50; AMT_52; AMT_54; AMT_6; AMT_60; AMT_8; AMT_9; AMT20; Comment; Coral Sea; EISPAC/WESTWIND; Event label; hydrogen isotopic composition; Isotopic fractionation factor; Isotopic fractionation factor, standard deviation; James Cook; Latitude of event; Longitude of event; open-ocean; proxy calibration; Sample comment; Sea surface salinity; Sea surface temperature; SO228; SO256; SO256_1; SO256_10; SO256_12; SO256_17; SO256_19; SO256_2; SO256_20; SO256_21; SO256_23; SO256_24; SO256_25; SO256_3; SO256_4; Sonne; Sonne_2; TACTEAC; Tasman Sea; Torres Strait; Underway water sampling; UWS; WEP1; WEP30; WEP31; WEP33; WEP37; WEP39; WEP40; WEP41; WEP42; WEP43; δ Deuterium, alkenone, C37; δ Deuterium, alkenone, C37, standard deviation; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 672 data points
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  • 4
    Publication Date: 2024-06-15
    Keywords: 190-1173A; Biotite; Carbonates; Clay; Clay minerals; Color description; Depth, bottom/max; Depth, reference; DEPTH, sediment/rock; Depth, top/min; Description; Diatom abundance; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Epoch; Feldspar; Foraminifera; Grain size description; Igneous rock; Joides Resolution; Leg190; Lithic grains; Lithologic unit/sequence; Lithology/composition/facies; Minerals; Muscovite; Nannofossil abundance; Nannofossil zone; Ocean Drilling Program; ODP; Opaque minerals; Philippine Sea; Pyrite; Quartz; Radiolarians abundance; Sample code/label; Sample comment; Sample thickness; Sand; Section; Section position; Silicoflagellate abundance; Silt; Smear slide analysis; Sorting description; Sponge spiculae; Volcanic glass; Volcanic glass, altered; Zeolite
    Type: Dataset
    Format: text/tab-separated-values, 4035 data points
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  • 5
    Publication Date: 2024-06-15
    Keywords: 190-1174A; 190-1174B; Biotite; Carbonates; Clay; Clay minerals; Color description; Depth, bottom/max; Depth, reference; DEPTH, sediment/rock; Depth, top/min; Description; Diatom abundance; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Epoch; Event label; Feldspar; Foraminifera; Grain size description; Joides Resolution; Leg190; Lithic grains; Lithologic unit/sequence; Lithology/composition/facies; Mica; Minerals; Nannofossil abundance; Nannofossil zone; Ocean Drilling Program; ODP; Opaque minerals; Philippine Sea; Quartz; Radiolarians abundance; Sample code/label; Sample comment; Sample thickness; Sand; Section; Section position; Silt; Smear slide analysis; Sorting description; Volcanic glass; Volcanic glass, altered; Zeolite
    Type: Dataset
    Format: text/tab-separated-values, 3363 data points
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  • 6
    Publication Date: 2024-06-15
    Keywords: 190-1177A; Carbonates; Clay; Clay minerals; Color description; Depth, bottom/max; Depth, reference; DEPTH, sediment/rock; Depth, top/min; Description; Diatom abundance; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Epoch; Feldspar; Foraminifera; Grain size description; Joides Resolution; Leg190; Lithic grains; Lithologic unit/sequence; Lithology/composition/facies; Mica; Minerals; Nannofossil abundance; Nannofossil zone; Ocean Drilling Program; ODP; Opaque minerals; Organic matter; Philippine Sea; Quartz; Radiolarians abundance; Sample code/label; Sample comment; Sample thickness; Sand; Section; Section position; Silt; Smear slide analysis; Sorting description; Volcanic glass; Volcanic glass, altered; Zeolite
    Type: Dataset
    Format: text/tab-separated-values, 1385 data points
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  • 7
    Publication Date: 2024-06-15
    Keywords: AMT5; AMT5_36; AMT5_38; AMT5_40; AMT5_42; AMT5_44; DEPTH, water; Depth comment; Elevation of event; Event label; Genotype; Globorotalia inflata, landmark coordinates; Globorotalia inflata, major axis length; James Clark Ross; Latitude of event; Longitude of event; Net; NET; Number of specimens; Positioning type/details; Sample code/label; SDY285, CTD-24; SDY286, CTD-25; SDY287, CTD-26; SDY288, CTD-28; SDY289, CTD-30
    Type: Dataset
    Format: text/tab-separated-values, 3915 data points
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  • 8
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    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2024-06-14
    Keywords: Acer; AGE; Alnus; Alternanthera; Armeria; Artemisia; Asteroideae; Betula; Boraginaceae; Botrychium; Calligonum; Calluna; Carpinus betulus; Caryophyllaceae; Caspian Sea CP 14; Castanea; Centaurea; Centaurea collina; Centaurea cyanus; Centaurea montana; Centaurea sinaica; Cerealia; Chenopodiaceae/Amaranthaceae; Cichorioideae; Corylus; Counting, palynology; CP14; Cruciferae; Cupressaceae; Cyperaceae; DEPTH, sediment/rock; Dipsacus; Dryopteris filix-mas; Echium; Elaeagnus; EPD; Ephedra alata-type; Ephedra major-type; Ephedra undifferentiated; Eremurus; Ericaceae; Euphorbia; Fagus; Filipendula; Fraxinus; Gramineae; Haplophyllum; Hippophae; Indeterminable: undifferentiated; Indeterminable: unknown; Juglans; KULC; KULLENBERG corer; Labiatae (6); Legousia; Liliaceae; Littorella; Lycopodium annotinum; Lycopodium selago; Monolete non-psilate; Monolete psilate; Myrtaceae; Papilionaceae; Parrotia persica; Picea; Pinus; Pistacia; Plantago; Plantago lanceolata; Pollen; Pollen, reworked; Polypodium vulgare; Potamogeton; Pteridium aquilinum; Pterocarya; Quercus; Quercus sempervirens; Rhamnaceae; Riccia; Rosaceae; Rubiaceae; Rumex; Salix; Sanguisorba minor; Spergularia; Sphagnum; Tamarix; Thalictrum; Thelypteris palustris; Tilia; Trifolium; Trilete non-psilate; Trilete psilate; Tsuga; Typha/Sparganium; Ulmus/Zelkova; Umbelliferae; Urticaceae/Moraceae; Viscum; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 2668 data points
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  • 9
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    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2024-06-14
    Keywords: Abies; Acer; Aesculus; AGE; Alnus; Alternanthera; Anabaena; Anthoceros; Apiaceae; Artemisia; Asteroideae; Astragalus; Azolla/Salvinia; Betula; Boraginaceae; Botrychium; Botryococcus braunii; Brassicaceae; Buxus; Calligonum; Calluna; Campanulaceae; Cannabaceae; Carpinus betulus; Carpinus orientalis; Caryophyllaceae; Caspian Sea; Castanea; Cedrus; Centaurea; Ceratophyllum; Cerealia-type; Chenopodiaceae/Amaranthaceae; Cichorioideae; Concentricystes circulus; Convolvulaceae; Cornus; Corylus; Counting, palynology; Crassulaceae; Cyperaceae; Cystopteris; Debarya; DEPTH, sediment/rock; Dipsacaceae; Dryopteris filix-mas; Echium; Elaeagnus; Ephedra alata-type; Ephedra major-type; Ephedra undifferentiated; Eremurus; Ericaceae; Euphorbiaceae; Fabaceae; Fagus; Filipendula; Fraxinus excelsior; Gentianaceae; Gloeotrichia; GS18; Haplophyllum; Helianthemum; Heliotropium; Hippophae; Ilex; Incertae sedis; Indeterminable: undifferentiated; Indeterminable: unknown; Jasminum; Juglans; Juniperus; KULC; KULLENBERG corer; Lamiaceae; Liliaceae; Lilium; Liquidambar; Littorella; Lotus; Lycopodium clavatum; Melampyrum; Monolete non-psilate; Monolete psilate; Myrica; Myriophyllum alterniflorum; Myriophyllum verticillatum; Nitraria; Olea; Oleaceae; Orchidaceae; Parrotia persica; Pediastrum boryanum; Pediastrum simplex; Picea; Pinaceae; Pinus; Pinus haplostellate; Pistacia; Plantago; Plumbaginaceae; Poaceae; Pollen; Pollen, reworked; Polygonum aviculare; Polygonum bistorta-type; Polygonum undifferentiated; Potamogeton; Potentilla-type; Primulaceae; Pteridium aquilinum; Pteris; Pterocarya; Pterosperma; Quercus, deciduous; Quercus sempervirens; Radiosperma; Ranunculaceae; Ranunculus acris-type; Rhamnaceae; Riccia; Rosaceae; Rubiaceae; Rumex; Ruppia; Salix; Salvinia/Azolla massulae; Sanguisorba minor; Sanguisorba officinalis; Saxifraga; Scenedesmus; Scrophulariaceae; Secale; Selaginella selaginoides; Sphagnum; Spirogyra; Tamarix; Taxus; Tetraedron; Thalictrum; Thelypteris palustris; Tilia; Trilete non-psilate; Trilete psilate; Typha/Sparganium; Typha latifolia-type; Ulmus/Zelkova; Umbilicus; Urticaceae/Moraceae; Valerianaceae; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 16530 data points
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  • 10
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    Unknown
    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2024-06-14
    Keywords: Abies; Acer; Alnus; Artemisia; Asteroideae; Batrachium; Betula; Botrychium; Buxus; Calligonum; Calystegia; Campanulaceae; Carpinus betulus; Caryophyllaceae; Caspian Sea CP 18; Celtis; Centaurea; Cerealia; Chenopodiaceae/Amaranthaceae; Chrozophora; Cichorioideae; Corylus; Counting, palynology; CP18; Cruciferae; Cupressaceae; Cyperaceae; DEPTH, sediment/rock; Dryopteris filix-mas; Echium; Emex; EPD; Ephedra alata-type; Ephedra major-type; Equisetum; Ericaceae; Euphorbia; Fagus; Filipendula; Fraxinus; Gramineae; Hippophae; Ilex; Indeterminable: undifferentiated; Indeterminable: unknown; Juglans; KULC; KULLENBERG corer; Labiatae; Labiatae (6); Ligustrum; Liliaceae; Littorella; Mercurialis; Monolete non-psilate; Monolete psilate; Myriophyllum verticillatum; Nymphaea; Nymphoides peltata; Parrotia persica; Picea; Pinaceae; Pinus; Pistacia; Plantago; Plantago lanceolata; Plantago major-type; Plumbaginaceae; Pollen; Pollen, reworked; Polygonum bistorta-type; Polygonum persicaria-type; Polygonum undifferentiated; Polypodium vulgare; Potamogeton; Pteridium aquilinum; Pterocarya; Quercus; Quercus sempervirens; Ranunculaceae; Riccia; Rubiaceae; Rumex; Rumex acetosa; Rumex acetosella; Salix; Sanguisorba minor; Sphagnum; Tamarix; Thalictrum; Thelypteris palustris; Thymelaeaceae; Tilia; Trilete non-psilate; Trilete psilate; Typha/Sparganium; Typha latifolia-type; Ulmus/Zelkova; Umbelliferae; Urticaceae/Moraceae; Valerianaceae; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 3420 data points
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