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  • 2015-2019  (1,014,367)
  • 1940-1944  (3)
  • 2019  (1,014,367)
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Year
  • 1
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    Characterizing photosymbiosis in modern planktonic foraminifera (2019)
    In:  Biogeosciences
    Details
    Publication Date: 2024-07-05
    Type: info:eu-repo/semantics/article
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  • 2
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    Putative sponge biomarkers in unicellular Rhizaria question an early rise of animals (2019)
    In:  Nature Ecology and Evolution
    Details
    Publication Date: 2024-07-05
    Type: info:eu-repo/semantics/article
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  • 3
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    Highly replicated sampling reveals no diurnal vertical migration but stable species-specific vertical habitats in planktonic foraminifera (2019)
    In:  Journal of Plankton Research
    Details
    Publication Date: 2024-07-05
    Type: info:eu-repo/semantics/article
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  • 4
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    A taxonomically harmonized and temporally standardized fossil pollen dataset from Siberia covering the last 40 ka (2019)
    PANGAEA
    In:  Supplement to: Cao, Xianyong; Tian, Fang; Andreev, Andrei A; Anderson, Patricia M; Lozhkin, Anatoly V; Bezrukova, Elena V; Ni, Jian; Rudaya, Natalia; Stobbe, Astrid; Wieczorek, Mareike; Herzschuh, Ulrike (2020): A taxonomically harmonized and temporally standardized fossil pollen dataset from Siberia covering the last 40 kyr. Earth System Science Data, 12(1), 119-135, https://doi.org/10.5194/essd-12-119-2020
    Details
    Publication Date: 2024-07-05
    Description: Pollen records from Siberia are mostly absent in global or Northern Hemisphere synthesis works. Here we present a taxonomically harmonized and temporally standardized pollen dataset that was synthesized using 173 palynological records from Siberia and adjacent areas (northeast Asia, 50°180°E and 42°75°N). Pollen data were taxonomically harmonized, that is the original 437 taxa were transformed to 106 combined pollen taxa. Age-depth models for all records were revised by applying a constant Bayesian age-depth modelling routine. The pollen dataset is available as count data and percentage data in a table format (taxa vs. samples) with age information for each sample. The dataset has relatively few sites covering the last glacial period between 40 and 11.5 cal ka BP (calibrated thousand years before present 1950 CE) particularly from the central and western part of the study area. In the Holocene period, the dataset has many sites from most of the area except the central part of Siberia. Of the 173 pollen records, 81% of pollen counts were downloaded from open databases (GPD, EPD, Pangaea) and 10% were contributions of the original data gatherers, while a few were digitized from publications. Most of the pollen records originate from peatlands (48%) and lake sediments (33%). Most of the records (83%) have ≥3 dates allowing the establishment of reliable chronologies. The dataset can be used for various purposes including pollen data mapping (example maps for Larix at selected time-slices are shown) as well as quantitative climate and vegetation reconstructions.
    Keywords: AWI_Envi; Late Quaternary; Paleo Modelling; PalMod; Polar Terrestrial Environmental Systems @ AWI; Pollen; Siberia
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 5
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    Surface Ocean CO2 Atlas (SOCAT) v2019. New and updated individual cruise datasets (2019)
    PANGAEA
    Details
    Publication Date: 2024-07-05
    Description: The Surface Ocean CO2 Atlas (SOCAT) is a synthesis activity by the international marine carbon research community (〉100 contributors). SOCATv2019 has 25.7 million quality-controlled, surface ocean fCO2 (fugacity of carbon dioxide) observations from 1957 to 2019 for the global oceans and coastal seas. Calibrated sensor data are also available. Automation allows annual, public releases. SOCAT data is discoverable, accessible and citable. SOCAT enables quantification of the ocean carbon sink and ocean acidification and evaluation of ocean biogeochemical models. SOCAT represents a milestone in biogeochemical and climate research and in informing policy. This publication contains the individual cruise files that are new or updated from SOCATv6, with cruise QC flags A-E and all fCO2 WOCE flags. The synthesis file hosted in NOAA NCEI (see other version) contains A-D cruises and WOCE flag 2 (good) data. To download the SOCATv2019 data product in other formats or subsets, please go to www.socat.info.
    Keywords: SOCAT; SOCATv2019; Surface Ocean CO2 Atlas Project
    Type: Dataset
    Format: application/zip, 531 datasets
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  • 6
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    Nitrous oxide and biogeochemical variables related to Intermediate Waters into Eastern South Pacific Ocean (2019)
    PANGAEA
    In:  Departamento de Oceanografia, Universidad de Concepción | Supplement to: Carrasco, Cristina; Karstensen, Johannes; Farias, Laura (2017): On the Nitrous Oxide Accumulation in Intermediate Waters of the Eastern South Pacific Ocean. Frontiers in Marine Science, 4, https://doi.org/10.3389/fmars.2017.00024
    Details
    Publication Date: 2024-07-05
    Description: Nitrous oxide (N2O) is a powerful greenhouse gas principally produced by nitrification and denitrification in the marine environment. Observations were made in the eastern South Pacific (ESP), between 10º and 60°S, and ~75° to 88°W, from intermediate waters targeting Antarctic Intermediate Water (AAIW) at potential density of 27.0-27.1 kg m-3. Between 60° to 20°S, a gradual equatorward increase of N2O from 8 to 26 nmol L-1 was observed at density 27.0-27.1 kg m-3 where AAIW penetrates. Positive correlations were found between apparent N2O production (∆N2O) and O2 utilization (AOU), and between ∆N2O and NO3-, which suggested that local N2O production is predominantly produced by nitrification. Closer to the equator, between 20° and 10°S at AAIW core, a strong N2O increase up to 75 nmol L-1 was observed. Because negative correlations were found between ∆N2O vs. NO3- and ∆N2O vs. N* (a Nitrogen deficit index) and because ∆N2O and AOU do not follow a linear trend, we suspect that, in addition to nitrification, denitrification also takes place in N2O cycling. By making use of water mass mixing analyses, we show that an increase in N2O occurs in the region where high oxygen from AAIW merges with low oxygen from Equatorial Subsurface Water (ESSW), creating favorable conditions for local N2O production. We conclude that the non-linearity in the relationship between N2O and O2 is a result of mixing between two water masses with very different source characteristics, paired with the different time frames of nitrification and denitrification processes that impact water masses en route before they finally meet and mix in the ESP region.
    Keywords: Abate Molina; BiG_RAPA-1; BiG_RAPA-2; BiG_RAPA-3; BiG_RAPA-4; BiG RAPA; Biogeochemical Gradients: Role in Arranging Planktonic Assemblages; BIOSOPE; BIOSOPE-1; BIOSOPE-11; BIOSOPE-15; BIOSOPE-19; BIOSOPE-49; BIOSOPE-7; Cruise/expedition; CTD/Rosette; CTD-O probe; CTD-RO; DATE/TIME; Density, mass density; DEPTH, water; Dissolved oxygen, automated Winkler (Strickland & Parsons, 1972); Event label; Galathea_10-1; Galathea_11-1; Galathea_12-2; Galathea_13-2; Galathea_14-2; Galathea_15-2; Galathea_16-2; Galathea_17-2; Galathea_18-2; Galathea_19-2; Galathea_20-2; Galathea_21-3; Galathea_22-3; Galathea_23-3; Galathea_24-3; Galathea_25-3; Galathea_26-3; Galathea_27-3; Galathea_28-3; Galathea_29-3; Galathea_30-3; Galathea_3-1; Galathea_31-10; Galathea_31-11; Galathea_31-3; Galathea_31-4; Galathea_31-5; Galathea_31-6; Galathea_31-7; Galathea_31-8; Galathea_31-9; Galathea_4-1; Galathea_5-1; Galathea_6-1; Galathea_7-1; Galathea_8-1; Galathea_9-1; Galathea 3; Greenhouse gases; HDMS Vaedderen; Headspace Gas Chromatography, Perkin-Elmer; Knorr; KNR182-7; KNR182-7-CTD100; KNR182-7-CTD26; KNR182-7-CTD27; KNR182-7-CTD40; KNR182-7-CTD49; KNR182-7-CTD53; KNR182-7-CTD62; KNR182-7-CTD65; KNR182-7-CTD69; KNR182-7-CTD73; KNR182-7-CTD76; KNR182-7-CTD81; KNR182-7-CTD84; KNR182-7-CTD88; KNR182-7-CTD9; KNR182-7-CTD93; KNR182-7-CTD96; KNR182-9; KNR182-9-CTD1; KNR182-9-CTD10; KNR182-9-CTD13; KNR182-9-CTD14; KNR182-9-CTD15; KNR182-9-CTD16; KNR182-9-CTD17; KNR182-9-CTD18; KNR182-9-CTD3; KNR182-9-CTD4; KNR182-9-CTD5; KNR182-9-CTD6; KNR182-9-CTD7; KNR182-9-CTD8; KNR182-9-CTD9; L Atalante; Latitude of event; Longitude of event; Melville; Mirai; MOBIO; MOBIO-2006-15; MOBIO-2006-16; MOBIO-2006-18; MOBIO-2006-19; MOBIO-2006-20; MOBIO-2006-25; MOBIO-2006-26; MOBIO-2006-27; MOBIO-2006-28; MOBIO-2006-29; MOBIO-2006-30; MOBIO-2006-34; MOBIO-2006-35; MOBIO-2006-37; MOBIO-2006-38; MOBIO-2006-39; MOBIO-2006-4; MOBIO-2006-40; MOBIO-2006-43; MOBIO-2006-47; MOBIO-2006-48; MOBIO-2006-49; MOBIO-2006-5; MOBIO-2006-50; MOBIO-2006-6; MOBIO-2006-7; MOBIO-2006-8; MR03-K04-10; MR03-K04-14; MR03-K04-18; MR03-K04-22; MR03-K04-3; MR03-K04 Leg1; nitrate; Nitrate; nitrite; Nitrite; nitrogen cycle; nitrous oxide; Nitrous oxide, dissolved; oceanography; Oxygen; Phosphate; Salinity; Seawater analysis after Grasshoff et al., 1983 (Verlag Chemie GmbH Weinheim); silicate; Silicate; Station label; Temperature; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 11930 data points
    Location Call Number Expected Availability
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  • 7
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    A taxonomically harmonized and temporally standardized fossil pollen data from Siberia covering the last 40 ka: overview and references (2019)
    PANGAEA
    Details
    Publication Date: 2024-07-05
    Description: Pollen records from Siberia are mostly absent in global or Northern Hemisphere synthesis works. Here we present a taxonomically harmonized and temporally standardized pollen dataset that was synthesized using 173 palynological records from Siberia and adjacent areas (northeast Asia, 50°180°E and 42°75°N). Pollen data were taxonomically harmonized, that is the original 437 taxa were transformed to 106 combined pollen taxa. Age-depth models for all records were revised by applying a constant Bayesian age-depth modelling routine. The pollen dataset is available as count data and percentage data in a table format (taxa vs. samples) with age information for each sample. The dataset has relatively few sites covering the last glacial period between 40 and 11.5 cal ka BP (calibrated thousand years before present 1950 CE) particularly from the central and western part of the study area. In the Holocene period, the dataset has many sites from most of the area except the central part of Siberia. Of the 173 pollen records, 81% of pollen counts were downloaded from open databases (GPD, EPD, Pangaea) and 10% were contributions of the original data gatherers, while a few were digitized from publications. Most of the pollen records originate from peatlands (48%) and lake sediments (33%). Most of the records (83%) have ≥3 dates allowing the establishment of reliable chronologies. The dataset can be used for various purposes including pollen data mapping (example maps for Larix at selected time-slices are shown) as well as quantitative climate and vegetation reconstructions.
    Keywords: 11-CH-12A; 880; Adycha_River; Adycha River; Age, maximum/old; Age, minimum/young; Akademik Boris Petrov; ALUT; Alut Lake; AMBA; Amba River; AMGUEMA1; AMGUEMA2; Amguema River 1; Amguema River 2; ARAKAM; Arakamchechen Island; ARAL86; AWI_Envi; AWI Arctic Land Expedition; BAIDARA; Baidara, Russia; Baikal_Lake-CON01-603-5; Baikal_Lake-CON01-605-3; Baikal_Lake-CON01-605-5; Baikal Lake-CON01-603-5; Baikal Lake-CON01-605-3; Baikal Lake-CON01-605-5; Barbarina_Tumsa; Berelyekh River; BETENK; Betenkyos Adycha river; Big_Yarovoe_Lake_2008-3; Big Yarovoe Lake; BLOSSOM; Blossom Cape; BOGUDA; Bolshaya Kuobakh-Baga River; Bolshaya Kuropatochya River; Bolshaya Kuropatochya River P7; Bolshoe Eravnoe Lake, Russia; BP99; BP99-04/06; BUGRIST; Bugristoe, Russia; BUGUTAK; Bugutakh Adycha river; Byllatskoye; CAMPING; Cape Sabler, Taymyr Lake, Taymyr Peninsula, Krasnoyarsk, northern Russia; Cape Shpindler, Yugorski Peninsula, Russia; CHABADA2; ChabadaII; Chabada Lake, Russia; Chaginskoe; Chatanga2011; Cheremushka_Bog; Cheremushka Bog; Chernaya_Gorka; CHERNOE; Chernoe Lake, Russia; CHERNYAR; Cherny Yar, Russia; CHESNOK; Chesnok Peat Irtysh River; Chistoye Lake; Comment; COMPCORE; Composite Core; Core1; Core13; Core2; Core86; CoreN3; Country; CS98-10; DEMYAN; Demyanskoye; DERPUT; Derput, Russia; Dikikh Olyenyeii Lake; DIMA2; DIMA4; Dlinnoye_Lake; Dlinnoye Lake; DOE; Dolgoe_Ozero; Dolgoe Ozero; DRILL; Drilling/drill rig; East_Siberian_Sea_Coast; East Siberian Sea Coast; East Siberian Sea Coast 11; EK4; ELEVATION; ELGENNYA; Elgennya Lake; Elgygytgyn_Lake_P1; Elgygytgyn_Lake_P2; Elgygytgyn crater lake, Sibiria, Russia; Elgygytgyn lake; Elgygytgyn Lake P1; Elgygytgyn Lake P2; Elikchan 4 Lake; ENM109; ENMYN; Enmynveem Malyi Anyui; Enmynveem River; ENTARNOY; Entarnoye; ERAVNOE; Event label; Figurnoye_Lake; Figurnoye Lake; GC; GCUWI; GEK; Gek Lake; Geological profile sampling; GEOPRO; Global River Discharge; Glukhoye Lake; GLUPEAT; GOLUBOY; Goluboye Lake; Gravity corer; Gravity corer, UWITEC; Gulf of Tartary; Gur_sample; GURSKII; Gurskii Peat; GYTGYKAI; Gytgykai Lake; ICDP_Elgygytgyn-Drilling-Project; ICDP5011-1; Identification; IGARKA; Ilinka_Terrace; Ilinka Terrace; Indigirka_Lowland; Indigirka Lowland; Izylmetevskaya; JACKLOND; Jack London Lake; Julietta_Lake; Julietta Lake; K7/P2; KALIST; Kalistratikha; Kamchatka2007; KARASEOZ; Karasieozerskoe, Russia; KARGA; Karginskii Cape; Khanda; Khanda-1; Khlebnikova_Stream; Khlebnikova Stream; KHOCHO; Khocho, Russia; KHOMUST; Khomustakh Lake, Russia; Kirek_Lake; Kirek Lake; Kirgirlakh Stream; Kiya; KOL; KOLYMA; KOMARIT; Komaritsa; KONERG; Konergino; Kosmodemyanskaya-1; Kosmodemyanskaya-2; Kosmodemyanskaya-3; KREST; Kresta Gulf; KUBAGA; KURO11; KUROP7; KURPEAT; Kyurbe-Yuryakh-2; LAB2-95; Labaz Lake area; Lake_Fernsehsee; Lake_Lama; Lake_Sokoch; Lake Aral, Kazakhstan; Lake Billyakh, Verkhoyansk Mountains, Yakuti, Russia; Lake Boguda, Russia; Lake Fernsehsee; Lake Lama; Lake Madjagara, Russia; Lake Nuochaga, Russia; Lake Sokoch; LAO13-94; Laptev_PM9462; Laptev PM9462; Late Quaternary; LATITUDE; LEDOBOZ; Ledovyi Obryu; Lena2010; Lesnaya_River; Lesnaya River; Lesnoye_Lake; Lesnoye Lake; Livingstone piston corer; LONGITUDE; Lorino; LPC; LUKA; Lukaschin Yar; Lyadhej-To; MACC; Mackereth corer; MADJAGA; MAKSIMKI; Maksimkin Yar, Russia; MALTAN; Maltan River; Malyi_Krechet_Lake; Malyi Krechet Lake; MAMENM; Mamontovy Khayata, Bykovsky Peninsula, Siberia; Melkoye_Lake_core; Melkoye Lake; Mereya_River; Mereya River; Method comment; MKh-161; MOKHOVOE; Mokhovoye, Kazakhstan; MONOB; Monolith boxes; MULT; Multiple investigations; NEIZ; Neizvestnaya; Nikolay; Nikolay Lake, Lena Delta, Russia; Nizhnevartovsk, Russia; Nizhnevartovskoye; NIZHNIVA; Nizmennyii_Cape; Nizmennyii Cape; NIZVAR; North Pacific Ocean; Novienky peat bog, Russia; NOVO-USP; Novo-Uspenka, Russia; NULSAVEI; Nulsaveito, Russia; NUOCHAGA; Okunayka; OLDCAMP; Old Camp Lake; Opasnaya_River; Opasnaya River; Origin; Orokess_River; Orokess River; Oumi; OUTCROP; Outcrop sample; OVRAZHNO; Ovrazhnoe, Russia; Ovrazhnyii_Stream-2; Ovrazhnyii Stream-2; Paleo Modelling; PalMod; Paramonovskii_Stream; Paramonovskii Stream; Patricia_Lake; Patricia Lake; PCUWI; PEATC; Peat corer; PENZHIN; Penzhinskaya Gulf; PEPELNOY; Pepelnoye Lake; Pernatoye_Lake; Pernatoye Lake; Persistent Identifier; PETROP; Petropavlovka, Russia; PG1228; PG1755; PG1756; PG1856-3; PG1857-2; PG1857-5; PG2022; Piston corer, UWITEC; Piston corer (Kiel type); Piston sampler; Pneumatic-vacuum tube; Pobochnoye; PODKOVA; Podkova Lake; Polar Terrestrial Environmental Systems @ AWI; Polar Urals; Pollen; PROFILE; Profile sampling; PSAMP; PURTAZ; Pur-Taz Peatland, Russia; PVTUB; Reference/source; Reference of data; RGS; River gauging station; Rock_Island_Lake; Rock Island Lake; RPC; RSAMP; RU-Land_1994_Taymyr; RU-Land_1995_Taymyr; RU-Land_2005_Verkhoyansk; RU-Land_2007_Kamchatka; RU-Land_2010_Lena; RU-Land_2011_Khatanga; RUSC; Russia; Russian corer; Russian peat corer; Russian sampler; Sakhalin_Island_Khoe; Sakhalin Island Khoe; Salym-Yugan; SAMAND; Samandon, Russia; Sampling on land; SAO1; SAO4; Sediment type; Selitkan-1; Selitkan-2; Selitkan-3; Sergeevka_River; Sergeevskii; Sernovodskii_Perescheek; Sernovodskii Perescheek; Seryebryanka_Stream; Seryebryanka Stream; Siberia; Siberia, Russia; Siluyanov_Yar; Siluyanov Yar; Site; SMOR; Smorodinovoye Lake; Sosednee_Lake; Sosednee Lake; STAD; STAD1; Stadukhinskaya Protoka Channel; Sunset_Lake; Sunset Lake; SUOLLAKH; Suollakh, Russia; SVERDRUP; Sverdrup, Russia; Taloye Lake; TANON; Tanon River; Taymyr; Taymyr94; Labaz_Lake_Expedition; Taymyr95; Labaz_Lake_Expedition; Taymyr peninsula, northern Siberia; TEGULD; Teguldet, Russia; Time resolution; TOM1; Tom River; TORBENOV; TS; Tumannaya_River; Tumannaya River; Two-Yurts Lake; Ukta_Creek_mouth; Ukta Creek mouth; Ulakhan_Adycha_River; Ulakhan Adycha River; USTMASH; UstMashevskoe, Russia; Vechernii_River; Vechernii River; Venyukovka-2; Venyukovka-3; Wrangel_Island_wr12; Wrangel Island wr12; Wrangle_Island_JackLondonLake; Wrangle Island JackLondonLake; Yakutia2005; Yenisei; Yenisei, Siberia, Russia; ZABOIN94; Zaboinoe Lake, Russia; Zhukovskoye_Mire; Zhukovskoye Mire
    Type: Dataset
    Format: text/tab-separated-values, 2553 data points
    Location Call Number Expected Availability
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  • 8
    facet.materialart.
    Unknown
    A taxonomically harmonized and temporally standardized fossil pollen data from Siberia covering the last 40 ka: pollen counts (2019)
    PANGAEA
    Details
    Publication Date: 2024-07-05
    Description: Pollen records from Siberia are mostly absent in global or Northern Hemisphere synthesis works. Here we present a taxonomically harmonized and temporally standardized pollen dataset that was synthesized using 173 palynological records from Siberia and adjacent areas (northeast Asia, 50°180°E and 42°75°N). Pollen data were taxonomically harmonized, that is the original 437 taxa were transformed to 106 combined pollen taxa. Age-depth models for all records were revised by applying a constant Bayesian age-depth modelling routine. The pollen dataset is available as count data and percentage data in a table format (taxa vs. samples) with age information for each sample. The dataset has relatively few sites covering the last glacial period between 40 and 11.5 cal ka BP (calibrated thousand years before present 1950 CE) particularly from the central and western part of the study area. In the Holocene period, the dataset has many sites from most of the area except the central part of Siberia. Of the 173 pollen records, 81% of pollen counts were downloaded from open databases (GPD, EPD, Pangaea) and 10% were contributions of the original data gatherers, while a few were digitized from publications. Most of the pollen records originate from peatlands (48%) and lake sediments (33%). Most of the records (83%) have ≥3 dates allowing the establishment of reliable chronologies. The dataset can be used for various purposes including pollen data mapping (example maps for Larix at selected time-slices are shown) as well as quantitative climate and vegetation reconstructions.
    Keywords: 11-CH-12A; 880; Abies; Acer; Adycha_River; Adycha River; AGE; Akademik Boris Petrov; Alnus, shrub; Alnus, tree; Alnus undifferentiated; ALUT; Alut Lake; AMBA; Amba River; AMGUEMA1; AMGUEMA2; Amguema River 1; Amguema River 2; Apiaceae; Aquifoliaceae; ARAKAM; Arakamchechen Island; ARAL86; Araliaceae; Artemisia; Asteraceae; AWI_Envi; AWI Arctic Land Expedition; BAIDARA; Baidara, Russia; Baikal_Lake-CON01-603-5; Baikal_Lake-CON01-605-3; Baikal_Lake-CON01-605-5; Baikal Lake-CON01-603-5; Baikal Lake-CON01-605-3; Baikal Lake-CON01-605-5; Balsaminaceae; Barbarina_Tumsa; Berelyekh River; BETENK; Betenkyos Adycha river; Betula, shrub; Betula, tree; Betula undifferentiated; Big_Yarovoe_Lake_2008-3; Big Yarovoe Lake; BLOSSOM; Blossom Cape; BOGUDA; Bolshaya Kuobakh-Baga River; Bolshaya Kuropatochya River; Bolshaya Kuropatochya River P7; Bolshoe Eravnoe Lake, Russia; Boraginaceae; BP99; BP99-04/06; Brassicaceae; BUGRIST; Bugristoe, Russia; BUGUTAK; Bugutakh Adycha river; Byllatskoye; Campanulaceae; CAMPING; Cannabis; Cape Sabler, Taymyr Lake, Taymyr Peninsula, Krasnoyarsk, northern Russia; Cape Shpindler, Yugorski Peninsula, Russia; Caprifoliaceae; Carpinus; Carya; Caryophyllaceae; Castanea; Cedrus; Celastraceae; Celtis; Cerealia; CHABADA2; ChabadaII; Chabada Lake, Russia; Chaginskoe; Chatanga2011; Chenopodiaceae; Cheremushka_Bog; Cheremushka Bog; Chernaya_Gorka; CHERNOE; Chernoe Lake, Russia; CHERNYAR; Cherny Yar, Russia; CHESNOK; Chesnok Peat Irtysh River; Chistoye Lake; COMPCORE; Composite Core; Convolvulaceae; Core1; Core13; Core2; Core86; CoreN3; Cornaceae; Corylus; Counting, palynology; Country; Crassulaceae; CS98-10; Cupressaceae; Cyperaceae; Dacrydium; DEMYAN; Demyanskoye; DEPTH, sediment/rock; DERPUT; Derput, Russia; Dikikh Olyenyeii Lake; DIMA2; DIMA4; Dipsacaceae; Dlinnoye_Lake; Dlinnoye Lake; DOE; Dolgoe_Ozero; Dolgoe Ozero; DRILL; Drilling/drill rig; Droseraceae; East_Siberian_Sea_Coast; East Siberian Sea Coast; East Siberian Sea Coast 11; EK4; Elaeagnus; ELEVATION; ELGENNYA; Elgennya Lake; Elgygytgyn_Lake_P1; Elgygytgyn_Lake_P2; Elgygytgyn crater lake, Sibiria, Russia; Elgygytgyn lake; Elgygytgyn Lake P1; Elgygytgyn Lake P2; Elikchan 4 Lake; ENM109; ENMYN; Enmynveem Malyi Anyui; Enmynveem River; ENTARNOY; Entarnoye; Ephedra; ERAVNOE; Ericaceae; Euphorbiaceae undifferentiated; Event label; Fabaceae, herb; Fabaceae, shrub; Fabaceae undifferentiated; Fagus; Figurnoye_Lake; Figurnoye Lake; GC; GCUWI; GEK; Gek Lake; Gentianaceae; Geological profile sampling; GEOPRO; Geraniaceae; Global River Discharge; Glukhoye Lake; GLUPEAT; GOLUBOY; Goluboye Lake; Gravity corer; Gravity corer, UWITEC; Gulf of Tartary; Gur_sample; GURSKII; Gurskii Peat; GYTGYKAI; Gytgykai Lake; Hippophae; Humulus; ICDP_Elgygytgyn-Drilling-Project; ICDP5011-1; Identification; IGARKA; Ilinka_Terrace; Ilinka Terrace; Indigirka_Lowland; Indigirka Lowland; Iridaceae; Izylmetevskaya; JACKLOND; Jack London Lake; Juglans; Julietta_Lake; Julietta Lake; Juncaceae; Juniperus; K7/P2; KALIST; Kalistratikha; Kamchatka2007; KARASEOZ; Karasieozerskoe, Russia; KARGA; Karginskii Cape; Khanda; Khanda-1; Khlebnikova_Stream; Khlebnikova Stream; KHOCHO; Khocho, Russia; KHOMUST; Khomustakh Lake, Russia; Kirek_Lake; Kirek Lake; Kirgirlakh Stream; Kiya; Koenigia; KOL; KOLYMA; KONERG; Konergino; Kosmodemyanskaya-1; Kosmodemyanskaya-2; Kosmodemyanskaya-3; KREST; Kresta Gulf; KUBAGA; KURO11; KUROP7; KURPEAT; Kyurbe-Yuryakh-2; LAB2-95; Labaz Lake area; Lake_Fernsehsee; Lake_Lama; Lake_Sokoch; Lake Aral, Kazakhstan; Lake Billyakh, Verkhoyansk Mountains, Yakuti, Russia; Lake Boguda, Russia; Lake Fernsehsee; Lake Lama; Lake Madjagara, Russia; Lake Nuochaga, Russia; Lake Sokoch; Lamiaceae; LAO13-94; Laptev_PM9462; Laptev PM9462; Larix; Late Quaternary; LATITUDE; LEDOBOZ; Ledovyi Obryu; Lena2010; Lesnaya_River; Lesnaya River; Lesnoye_Lake; Lesnoye Lake; Liliaceae; Linaceae; Livingstone piston corer; LONGITUDE; Lorino; LPC; LUKA; Lukaschin Yar; Lyadhej-To; Lythraceae; MACC; Mackereth corer; MADJAGA; MAKSIMKI; Maksimkin Yar, Russia; MALTAN; Maltan River; Malvaceae; Malyi_Krechet_Lake; Malyi Krechet Lake; MAMENM; Mamontovy Khayata, Bykovsky Peninsula, Siberia; Melkoye_Lake_core; Melkoye Lake; Mereya_River; Mereya River; MKh-161; MOKHOVOE; Mokhovoye, Kazakhstan; MONOB; Monolith boxes; MULT; Multiple investigations; Myrica; NEIZ; Neizvestnaya; Nikolay; Nikolay Lake, Lena Delta, Russia; Nizhnevartovsk, Russia; Nizhnevartovskoye; NIZHNIVA; Nizmennyii_Cape; Nizmennyii Cape; NIZVAR; North Pacific Ocean; Novienky peat bog, Russia; NOVO-USP; Novo-Uspenka, Russia; NULSAVEI; Nulsaveito, Russia; NUOCHAGA; Oenotheraceae; Okunayka; OLDCAMP; Old Camp Lake; Oleaceae; Oleaceae undifferentiated; Opasnaya_River; Opasnaya River; Orchidaceae; Orokess_River; Orokess River; Oumi; OUTCROP; Outcrop sample; OVRAZHNO; Ovrazhnoe, Russia; Ovrazhnyii_Stream-2; Ovrazhnyii Stream-2; Oxalidaceae; Paleo Modelling; PalMod; Papaveraceae; Paramonovskii_Stream; Paramonovskii Stream; Patricia_Lake; Patricia Lake; PCUWI; PEATC; Peat corer; PENZHIN; Penzhinskaya Gulf; PEPELNOY; Pepelnoye Lake; Pernatoye_Lake; Pernatoye Lake; PETROP; Petropavlovka, Russia; PG1228; PG1755; PG1756; PG1856-3; PG1857-2; PG1857-5; PG2022; Picea; Pinguicula; Pinus subgen. Diploxylon; Pinus subgen. Haploxylon; Pinus undifferentiated; Piston corer, UWITEC; Piston corer (Kiel type); Piston sampler; Plantago; Plumbaginaceae; Pneumatic-vacuum tube; Poaceae; Pobochnoye; PODKOVA; Podkova Lake; Podocarpaceae; Polar Terrestrial Environmental Systems @ AWI; Polar Urals; Polemoniaceae; Pollen; Polygalaceae; Polygonaceae; Polygonum; Populus; Portulacaceae; Primulaceae; PROFILE; Profile sampling; PSAMP; Pterocarya; PURTAZ; Pur-Taz Peatland, Russia; PVTUB; Pyrola; Quercus, deciduous; Quercus undifferentiated; Ranunculaceae; RGS; Rhamnaceae; Ribes; River gauging station; Rock_Island_Lake; Rock Island Lake; Rosaceae; RPC; RSAMP; Rubiaceae; RU-Land_1994_Taymyr; RU-Land_1995_Taymyr; RU-Land_2005_Verkhoyansk; RU-Land_2007_Kamchatka; RU-Land_2010_Lena; RU-Land_2011_Khatanga; Rumex; RUSC; Russia; Russian corer; Russian peat corer; Russian sampler; Rutaceae; Sakhalin_Island_Khoe; Sakhalin Island Khoe; Salix; Salym-Yugan; SAMAND; Samandon, Russia; Sampling on land; SAO1; SAO4; Saxifragaceae, herb; Saxifragaceae undifferentiated; Scrophulariaceae; Selitkan-1; Selitkan-2; Selitkan-3; Sergeevka_River; Sergeevskii; Sernovodskii_Perescheek; Sernovodskii Perescheek; Seryebryanka_Stream; Seryebryanka Stream; Siberia; Siberia, Russia; Siluyanov_Yar; Siluyanov Yar; Site; SMOR; Smorodinovoye Lake; Sosednee_Lake; Sosednee Lake; STAD; STAD1; Stadukhinskaya Protoka Channel; Sunset_Lake; Sunset Lake; SUOLLAKH; Suollakh, Russia; SVERDRUP; Sverdrup, Russia; Taloye Lake; TANON; Tanon River; Taymyr; Taymyr94; Labaz_Lake_Expedition; Taymyr95; Labaz_Lake_Expedition; Taymyr peninsula, northern Siberia; TEGULD; Teguldet, Russia; Thalictrum; Tilia; TOM1; Tom River; TORBENOV; TS; Tsuga; Tumannaya_River; Tumannaya River; Two-Yurts Lake; Ukta_Creek_mouth; Ukta Creek mouth; Ulakhan_Adycha_River; Ulakhan Adycha River; Ulmus; Urtica; Urticaceae; USTMASH; UstMashevskoe, Russia; Valerianaceae; Vechernii_River; Vechernii River; Venyukovka-2; Venyukovka-3; Violaceae; Wrangel_Island_wr12; Wrangel Island wr12; Wrangle_Island_JackLondonLake; Wrangle Island JackLondonLake; Yakutia2005; Yenisei; Yenisei, Siberia, Russia; ZABOIN94; Zaboinoe Lake, Russia; Zhukovskoye_Mire; Zhukovskoye Mire
    Type: Dataset
    Format: text/tab-separated-values, 663156 data points
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  • 9
    facet.materialart.
    Unknown
    A taxonomically harmonized and temporally standardized fossil pollen data from Siberia covering the last 40 ka: pollen percentages (2019)
    PANGAEA
    Details
    Publication Date: 2024-07-05
    Description: Pollen records from Siberia are mostly absent in global or Northern Hemisphere synthesis works. Here we present a taxonomically harmonized and temporally standardized pollen dataset that was synthesized using 173 palynological records from Siberia and adjacent areas (northeast Asia, 50°180°E and 42°75°N). Pollen data were taxonomically harmonized, that is the original 437 taxa were transformed to 106 combined pollen taxa. Age-depth models for all records were revised by applying a constant Bayesian age-depth modelling routine. The pollen dataset is available as count data and percentage data in a table format (taxa vs. samples) with age information for each sample. The dataset has relatively few sites covering the last glacial period between 40 and 11.5 cal ka BP (calibrated thousand years before present 1950 CE) particularly from the central and western part of the study area. In the Holocene period, the dataset has many sites from most of the area except the central part of Siberia. Of the 173 pollen records, 81% of pollen counts were downloaded from open databases (GPD, EPD, Pangaea) and 10% were contributions of the original data gatherers, while a few were digitized from publications. Most of the pollen records originate from peatlands (48%) and lake sediments (33%). Most of the records (83%) have ≥3 dates allowing the establishment of reliable chronologies. The dataset can be used for various purposes including pollen data mapping (example maps for Larix at selected time-slices are shown) as well as quantitative climate and vegetation reconstructions.
    Keywords: 11-CH-12A; 880; Abies; Acer; Adycha_River; Adycha River; AGE; Akademik Boris Petrov; Alnus, shrub; Alnus, tree; Alnus undifferentiated; ALUT; Alut Lake; AMBA; Amba River; AMGUEMA1; AMGUEMA2; Amguema River 1; Amguema River 2; Apiaceae; Aquifoliaceae; ARAKAM; Arakamchechen Island; ARAL86; Araliaceae; Artemisia; Asteraceae; AWI_Envi; AWI Arctic Land Expedition; BAIDARA; Baidara, Russia; Baikal_Lake-CON01-603-5; Baikal_Lake-CON01-605-3; Baikal_Lake-CON01-605-5; Baikal Lake-CON01-603-5; Baikal Lake-CON01-605-3; Baikal Lake-CON01-605-5; Balsaminaceae; Barbarina_Tumsa; Berelyekh River; BETENK; Betenkyos Adycha river; Betula, shrub; Betula, tree; Betula undifferentiated; Big_Yarovoe_Lake_2008-3; Big Yarovoe Lake; BLOSSOM; Blossom Cape; BOGUDA; Bolshaya Kuobakh-Baga River; Bolshaya Kuropatochya River; Bolshaya Kuropatochya River P7; Bolshoe Eravnoe Lake, Russia; Boraginaceae; BP99; BP99-04/06; Brassicaceae; BUGRIST; Bugristoe, Russia; BUGUTAK; Bugutakh Adycha river; Byllatskoye; Campanulaceae; CAMPING; Cannabis; Cape Sabler, Taymyr Lake, Taymyr Peninsula, Krasnoyarsk, northern Russia; Cape Shpindler, Yugorski Peninsula, Russia; Caprifoliaceae; Carpinus; Carya; Caryophyllaceae; Castanea; Cedrus; Celastraceae; Celtis; Cerealia; CHABADA2; ChabadaII; Chabada Lake, Russia; Chaginskoe; Chatanga2011; Chenopodiaceae; Cheremushka_Bog; Cheremushka Bog; Chernaya_Gorka; CHERNOE; Chernoe Lake, Russia; CHERNYAR; Cherny Yar, Russia; CHESNOK; Chesnok Peat Irtysh River; Chistoye Lake; COMPCORE; Composite Core; Convolvulaceae; Core1; Core13; Core2; Core86; CoreN3; Cornaceae; Corylus; Counting, palynology; Country; Crassulaceae; CS98-10; Cupressaceae; Cyperaceae; Dacrydium; DEMYAN; Demyanskoye; DEPTH, sediment/rock; DERPUT; Derput, Russia; Dikikh Olyenyeii Lake; DIMA2; DIMA4; Dipsacaceae; Dlinnoye_Lake; Dlinnoye Lake; DOE; Dolgoe_Ozero; Dolgoe Ozero; DRILL; Drilling/drill rig; Droseraceae; East_Siberian_Sea_Coast; East Siberian Sea Coast; East Siberian Sea Coast 11; EK4; Elaeagnus; ELEVATION; ELGENNYA; Elgennya Lake; Elgygytgyn_Lake_P1; Elgygytgyn_Lake_P2; Elgygytgyn crater lake, Sibiria, Russia; Elgygytgyn lake; Elgygytgyn Lake P1; Elgygytgyn Lake P2; Elikchan 4 Lake; ENM109; ENMYN; Enmynveem Malyi Anyui; Enmynveem River; ENTARNOY; Entarnoye; Ephedra; ERAVNOE; Ericaceae; Euphorbiaceae undifferentiated; Event label; Fabaceae, herb; Fabaceae, shrub; Fabaceae undifferentiated; Fagus; Figurnoye_Lake; Figurnoye Lake; GC; GCUWI; GEK; Gek Lake; Gentianaceae; Geological profile sampling; GEOPRO; Geraniaceae; Global River Discharge; Glukhoye Lake; GLUPEAT; GOLUBOY; Goluboye Lake; Gravity corer; Gravity corer, UWITEC; Gulf of Tartary; Gur_sample; GURSKII; Gurskii Peat; GYTGYKAI; Gytgykai Lake; Hippophae; Humulus; ICDP_Elgygytgyn-Drilling-Project; ICDP5011-1; Identification; IGARKA; Ilinka_Terrace; Ilinka Terrace; Indigirka_Lowland; Indigirka Lowland; Iridaceae; Izylmetevskaya; JACKLOND; Jack London Lake; Juglans; Julietta_Lake; Julietta Lake; Juncaceae; Juniperus; K7/P2; KALIST; Kalistratikha; Kamchatka2007; KARASEOZ; Karasieozerskoe, Russia; KARGA; Karginskii Cape; Khanda; Khanda-1; Khlebnikova_Stream; Khlebnikova Stream; KHOCHO; Khocho, Russia; KHOMUST; Khomustakh Lake, Russia; Kirek_Lake; Kirek Lake; Kirgirlakh Stream; Kiya; Koenigia; KOL; KOLYMA; KONERG; Konergino; Kosmodemyanskaya-1; Kosmodemyanskaya-2; Kosmodemyanskaya-3; KREST; Kresta Gulf; KUBAGA; KURO11; KUROP7; KURPEAT; Kyurbe-Yuryakh-2; LAB2-95; Labaz Lake area; Lake_Fernsehsee; Lake_Lama; Lake_Sokoch; Lake Aral, Kazakhstan; Lake Billyakh, Verkhoyansk Mountains, Yakuti, Russia; Lake Boguda, Russia; Lake Fernsehsee; Lake Lama; Lake Madjagara, Russia; Lake Nuochaga, Russia; Lake Sokoch; Lamiaceae; LAO13-94; Laptev_PM9462; Laptev PM9462; Larix; Late Quaternary; LATITUDE; LEDOBOZ; Ledovyi Obryu; Lena2010; Lesnaya_River; Lesnaya River; Lesnoye_Lake; Lesnoye Lake; Liliaceae; Linaceae; Livingstone piston corer; LONGITUDE; Lorino; LPC; LUKA; Lukaschin Yar; Lyadhej-To; Lythraceae; MACC; Mackereth corer; MADJAGA; MAKSIMKI; Maksimkin Yar, Russia; MALTAN; Maltan River; Malvaceae; Malyi_Krechet_Lake; Malyi Krechet Lake; MAMENM; Mamontovy Khayata, Bykovsky Peninsula, Siberia; Melkoye_Lake_core; Melkoye Lake; Mereya_River; Mereya River; MKh-161; MOKHOVOE; Mokhovoye, Kazakhstan; MONOB; Monolith boxes; MULT; Multiple investigations; Myrica; NEIZ; Neizvestnaya; Nikolay; Nikolay Lake, Lena Delta, Russia; Nizhnevartovsk, Russia; Nizhnevartovskoye; NIZHNIVA; Nizmennyii_Cape; Nizmennyii Cape; NIZVAR; North Pacific Ocean; Novienky peat bog, Russia; NOVO-USP; Novo-Uspenka, Russia; NULSAVEI; Nulsaveito, Russia; NUOCHAGA; Oenotheraceae; Okunayka; OLDCAMP; Old Camp Lake; Oleaceae; Oleaceae undifferentiated; Opasnaya_River; Opasnaya River; Orchidaceae; Orokess_River; Orokess River; Oumi; OUTCROP; Outcrop sample; OVRAZHNO; Ovrazhnoe, Russia; Ovrazhnyii_Stream-2; Ovrazhnyii Stream-2; Oxalidaceae; Paleo Modelling; PalMod; Papaveraceae; Paramonovskii_Stream; Paramonovskii Stream; Patricia_Lake; Patricia Lake; PCUWI; PEATC; Peat corer; PENZHIN; Penzhinskaya Gulf; PEPELNOY; Pepelnoye Lake; Pernatoye_Lake; Pernatoye Lake; PETROP; Petropavlovka, Russia; PG1228; PG1755; PG1756; PG1856-3; PG1857-2; PG1857-5; PG2022; Picea; Pinguicula; Pinus subgen. Diploxylon; Pinus subgen. Haploxylon; Pinus undifferentiated; Piston corer, UWITEC; Piston corer (Kiel type); Piston sampler; Plantago; Plumbaginaceae; Pneumatic-vacuum tube; Poaceae; Pobochnoye; PODKOVA; Podkova Lake; Podocarpaceae; Polar Terrestrial Environmental Systems @ AWI; Polar Urals; Polemoniaceae; Pollen; Polygalaceae; Polygonaceae; Polygonum; Populus; Portulacaceae; Primulaceae; PROFILE; Profile sampling; PSAMP; Pterocarya; PURTAZ; Pur-Taz Peatland, Russia; PVTUB; Pyrola; Quercus, deciduous; Quercus undifferentiated; Ranunculaceae; RGS; Rhamnaceae; Ribes; River gauging station; Rock_Island_Lake; Rock Island Lake; Rosaceae; RPC; RSAMP; Rubiaceae; RU-Land_1994_Taymyr; RU-Land_1995_Taymyr; RU-Land_2005_Verkhoyansk; RU-Land_2007_Kamchatka; RU-Land_2010_Lena; RU-Land_2011_Khatanga; Rumex; RUSC; Russia; Russian corer; Russian peat corer; Russian sampler; Rutaceae; Sakhalin_Island_Khoe; Sakhalin Island Khoe; Salix; Salym-Yugan; SAMAND; Samandon, Russia; Sampling on land; SAO1; SAO4; Saxifragaceae, herb; Saxifragaceae undifferentiated; Scrophulariaceae; Selitkan-1; Selitkan-2; Selitkan-3; Sergeevka_River; Sergeevskii; Sernovodskii_Perescheek; Sernovodskii Perescheek; Seryebryanka_Stream; Seryebryanka Stream; Siberia; Siberia, Russia; Siluyanov_Yar; Siluyanov Yar; Site; SMOR; Smorodinovoye Lake; Sosednee_Lake; Sosednee Lake; STAD; STAD1; Stadukhinskaya Protoka Channel; Sunset_Lake; Sunset Lake; SUOLLAKH; Suollakh, Russia; SVERDRUP; Sverdrup, Russia; Taloye Lake; TANON; Tanon River; Taymyr; Taymyr94; Labaz_Lake_Expedition; Taymyr95; Labaz_Lake_Expedition; Taymyr peninsula, northern Siberia; TEGULD; Teguldet, Russia; Thalictrum; Tilia; TOM1; Tom River; TORBENOV; TS; Tsuga; Tumannaya_River; Tumannaya River; Two-Yurts Lake; Ukta_Creek_mouth; Ukta Creek mouth; Ulakhan_Adycha_River; Ulakhan Adycha River; Ulmus; Urtica; Urticaceae; USTMASH; UstMashevskoe, Russia; Valerianaceae; Vechernii_River; Vechernii River; Venyukovka-2; Venyukovka-3; Violaceae; Wrangel_Island_wr12; Wrangel Island wr12; Wrangle_Island_JackLondonLake; Wrangle Island JackLondonLake; Yakutia2005; Yenisei; Yenisei, Siberia, Russia; ZABOIN94; Zaboinoe Lake, Russia; Zhukovskoye_Mire; Zhukovskoye Mire
    Type: Dataset
    Format: text/tab-separated-values, 663156 data points
    Location Call Number Expected Availability
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  • 10
    facet.materialart.
    Unknown
    Gulf of Mexico Neogene astronomically-tuned time scale (2019)
    PANGAEA
    In:  Supplement to: Bergen, James A; Truax III, S; de Kaenel, Eric P; Blair, Stacie A; Browning, Emily L; Lundquist, J; Boesiger, Todd; Bolivar, M; Clark, K (2019): BP Gulf of Mexico Neogene Astronomically-tuned Time Scale (BP GNATTS). Bulletin of the Geological Society of America, 131(11-12), 1871-1888, https://doi.org/10.1130/B35062.1
    Details
    Publication Date: 2024-07-04
    Description: This paper introduces an integrated Neogene microfossil biostratigraphic chart developed within post-merger BP for the Gulf of Mexico Basin and is the first published industrial framework "fully-tuned" to orbital periodicities. Astronomical-tuning was accomplished through a 15-year research program on ODP Leg 154 sediments (offshore NE Brazil) with sampling resolution for calcareous nannofossils and planktonic foraminifera about 20 k.y. and 40 k.y. (thousand year), respectively. This framework extends from the Late Oligocene (25.05 Ma) to Recent at an average Chart Horizon resolution for the Neogene of 144 k.y., approximately double that of published Gulf of Mexico biostratigraphic charts and a five-fold increase over the highest resolution global calcareous microfossil biozonation. Such resolution approximates that of 4th to 5th order parasequences and is a critical component in the verification of seismic correlations between mini-basins in the deep-water Gulf of Mexico. Its utility in global time-scale construction and correlation has been proven, in part, by application of the scheme in full to internal research for the Oligocene-Miocene boundary interval on the Global Boundary Stratotype Section and Point (GSSP) in northern Italy and offshore wells in the eastern Mediterranean Sea. This step change in Neogene resolution, now at the level of cyclostratigraphy (the orbital periodicity of eccentricity) and the magnetostratigraphic chron, demonstrates the potential for calcareous microfossil biostratigraphy to more consistently reinforce correlations of these time scale parameters. The integration of microfossil disciplines, consistent taxonomies, and rigorous analytical methodologies are all critical to obtaining and reproducing this new level of biostratigraphic resolution.
    Keywords: Ocean Drilling Program; ODP
    Type: Dataset
    Format: application/zip, 21 datasets
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