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  • PANGAEA  (21,333)
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  • 1
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    Unknown
    Charcoal records of two sediment cores off SW Africa (2012)
    PANGAEA
    In:  Supplement to: Daniau, Anne-Laure; Bartlein, Patrick J; Harrison, S P; Prentice, Iain Colin; Brewer, Simon; Friedlingstein, Pierre; Harrison-Prentice, T I; Inoue, J; Izumi, K; Marlon, Jennifer R; Mooney, Scott D; Power, Mitchell J; Stevenson, J; Tinner, Willy; Andric, M; Atanassova, J; Behling, Hermann; Black, M; Blarquez, O; Brown, K J; Carcaillet, C; Colhoun, Eric A; Colombaroli, Daniele; Davis, Basil A S; D'Costa, D; Dodson, John; Dupont, Lydie M; Eshetu, Z; Gavin, D G; Genries, A; Haberle, Simon G; Hallett, D J; Hope, Geoffrey; Horn, S P; Kassa, T G; Katamura, F; Kennedy, L M; Kershaw, A Peter; Krivonogov, S; Long, C; Magri, Donatella; Marinova, E; McKenzie, G Merna; Moreno, P I; Moss, Patrick T; Neumann, F H; Norstrom, E; Paitre, C; Rius, D; Roberts, Neil; Robinson, G S; Sasaki, N; Scott, Louis; Takahara, H; Terwilliger, V; Thevenon, Florian; Turner, R; Valsecchi, V G; Vannière, Boris; Walsh, M; Williams, N; Zhang, Yancheng (2012): Predictability of biomass burning in response to climate changes. Global Biogeochemical Cycles, 26(4), https://doi.org/10.1029/2011GB004249
    Details
    Publication Date: 2024-01-13
    Description: We analyze sedimentary charcoal records to show that the changes in fire regime over the past 21,000 yrs are predictable from changes in regional climates. Analyses of paleo- fire data show that fire increases monotonically with changes in temperature and peaks at intermediate moisture levels, and that temperature is quantitatively the most important driver of changes in biomass burning over the past 21,000 yrs. Given that a similar relationship between climate drivers and fire emerges from analyses of the interannual variability in biomass burning shown by remote-sensing observations of month-by-month burnt area between 1996 and 2008, our results signal a serious cause for concern in the face of continuing global warming.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 2
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    Unknown
    The Global Plankton Database: an inventory and data from the Former Soviet Union expeditions
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Description: At present time, there is a lack of knowledge on the interannual climate-related variability of zooplankton communities of the tropical Atlantic, central Mediterranean Sea, Caspian Sea, and Aral Sea, due to the absence of appropriate databases. In the mid latitudes, the North Atlantic Oscillation (NAO) is the dominant mode of atmospheric fluctuations over eastern North America, the northern Atlantic Ocean and Europe. Therefore, one of the issues that need to be addressed through data synthesis is the evaluation of interannual patterns in species abundance and species diversity over these regions in regard to the NAO. The database has been used to investigate the ecological role of the NAO in interannual variations of mesozooplankton abundance and biomass along the zonal array of the NAO influence. Basic approach to the proposed research involved: (1) development of co-operation between experts and data holders in Ukraine, Russia, Kazakhstan, Azerbaijan, UK, and USA to rescue and compile the oceanographic data sets and release them on CD-ROM, (2) organization and compilation of a database based on FSU cruises to the above regions, (3) analysis of the basin-scale interannual variability of the zooplankton species abundance, biomass, and species diversity.
    Keywords: AAK106; AAK62; AAK65; AAK7/1; AAK7/2; AAK7/3; AAK7/4; AAK7/5; AAK71; AAK88; AAK90; AAK95; Adriatic Sea; Aegean Sea; Akademik A Kovalyevskiy; Akademik Vernadsky; AKov_106-track; AKov_62-track; AKov_65-track; AKov_7/1-track; AKov_7/2-track; AKov_7/3-track; AKov_7/4-track; AKov_7/5-track; AKov_71-track; AKov_88-track; AKov_90-track; AKov_95-track; Arabian Sea; Aral_Sea; Atlantic Ocean; AV10; AV10_938-1; AV10_938-2; AV10_939-1; AV10_939-2; AV10_940-1; AV10_940-2; AV10_941-1; AV10_941-2; AV10_942-1; AV10_942-2; AV10_943-1; AV10_943-2; AV10_944-1; AV10_944-2; AV10_945-1; AV10_945-2; AV10_946-1; AV10_947-1; AV10_948-1; AV10_948-2; AV10_949-1; AV10_949-2; AV10_950-1; AV10_950-2; AV10_950-3; AV10_950-4; AV10_951-1; AV10_951-2; AV10_952-1; AV10_952-2; AV10_953-1; AV10_953-2; AV10_954-1; AV10_954-2; AV10_955-1; AV10_955-2; AV10_956-1; AV10_956-2; AV10_957-1; AV10_958-1; AV10_959-1; AV10_960-1; AV10_961-1; AV10_961-10; AV10_961-100; AV10_961-101; AV10_961-102; AV10_961-103; AV10_961-104; AV10_961-105; AV10_961-106; AV10_961-107; AV10_961-108; AV10_961-109; AV10_961-11; AV10_961-110; AV10_961-111; AV10_961-112; AV10_961-113; AV10_961-114; AV10_961-115; AV10_961-116; AV10_961-117; AV10_961-118; AV10_961-119; AV10_961-12; AV10_961-120; AV10_961-121; AV10_961-122; AV10_961-123; AV10_961-124; AV10_961-125; AV10_961-126; AV10_961-127; AV10_961-128; AV10_961-129; AV10_961-13; AV10_961-130; AV10_961-131; AV10_961-132; AV10_961-133; AV10_961-134; AV10_961-135; AV10_961-136; AV10_961-137; AV10_961-138; AV10_961-139; AV10_961-14; AV10_961-140; AV10_961-141; AV10_961-142; AV10_961-143; AV10_961-144; AV10_961-145; AV10_961-146; AV10_961-147; AV10_961-148; AV10_961-149; AV10_961-15; AV10_961-150; AV10_961-151; AV10_961-152; AV10_961-153; AV10_961-154; AV10_961-155; AV10_961-156; AV10_961-157; AV10_961-158; AV10_961-159; AV10_961-16; AV10_961-160; AV10_961-161; AV10_961-162; AV10_961-163; AV10_961-164; AV10_961-165; AV10_961-166; AV10_961-167; AV10_961-168; AV10_961-169; AV10_961-17; AV10_961-170; AV10_961-171; AV10_961-172; AV10_961-173; AV10_961-174; AV10_961-175; AV10_961-176; AV10_961-177; AV10_961-178; AV10_961-179; AV10_961-18; AV10_961-180; AV10_961-181; AV10_961-182; AV10_961-183; AV10_961-184; AV10_961-185; AV10_961-186; AV10_961-187; AV10_961-188; AV10_961-189; AV10_961-19; AV10_961-190; AV10_961-191; AV10_961-192; AV10_961-193; AV10_961-194; AV10_961-195; AV10_961-196; AV10_961-197; AV10_961-198; AV10_961-199; AV10_961-2; AV10_961-20; AV10_961-200; AV10_961-201; AV10_961-202; AV10_961-203; AV10_961-204; AV10_961-205; AV10_961-206; AV10_961-207; AV10_961-208; AV10_961-209; AV10_961-21; AV10_961-210; AV10_961-211; AV10_961-212; AV10_961-213; AV10_961-214; AV10_961-215; AV10_961-216; AV10_961-217; AV10_961-218; AV10_961-219; AV10_961-22; AV10_961-220; AV10_961-221; AV10_961-222; AV10_961-223; AV10_961-224; AV10_961-225; AV10_961-226; AV10_961-227; AV10_961-228; AV10_961-229; AV10_961-23; AV10_961-230; AV10_961-231; AV10_961-232; AV10_961-233; AV10_961-234; AV10_961-235; AV10_961-236; AV10_961-237; AV10_961-238; AV10_961-239; AV10_961-24; AV10_961-240; AV10_961-241; AV10_961-242; AV10_961-243; AV10_961-244; AV10_961-245; AV10_961-246; AV10_961-247; AV10_961-248; AV10_961-249; AV10_961-25; AV10_961-250; AV10_961-251; AV10_961-252; AV10_961-253; AV10_961-254; AV10_961-255; AV10_961-256; AV10_961-257; AV10_961-258; AV10_961-259; AV10_961-26; AV10_961-260; AV10_961-261; AV10_961-262; AV10_961-263; AV10_961-264; AV10_961-265; AV10_961-266; AV10_961-267; AV10_961-268; AV10_961-269; AV10_961-27; AV10_961-270; AV10_961-271; AV10_961-272; AV10_961-273; AV10_961-274; AV10_961-275; AV10_961-276; AV10_961-277; AV10_961-2771; AV10_961-278; AV10_961-279; AV10_961-28; AV10_961-280; AV10_961-281; AV10_961-282; AV10_961-283; AV10_961-284; AV10_961-285; AV10_961-286; AV10_961-287; AV10_961-288; AV10_961-289; AV10_961-29; AV10_961-290; AV10_961-291; AV10_961-292; AV10_961-293; AV10_961-294; AV10_961-295; AV10_961-296; AV10_961-297; AV10_961-298; AV10_961-299; AV10_961-3; AV10_961-30; AV10_961-300; AV10_961-301; AV10_961-302; AV10_961-303; AV10_961-304; AV10_961-305; AV10_961-306; AV10_961-307; AV10_961-308; AV10_961-309; AV10_961-31; AV10_961-310; AV10_961-311; AV10_961-312; AV10_961-313; AV10_961-314; AV10_961-315; AV10_961-316; AV10_961-317; AV10_961-318; AV10_961-319; AV10_961-32; AV10_961-320; AV10_961-321; AV10_961-322; AV10_961-323; AV10_961-324; AV10_961-325; AV10_961-326; AV10_961-327; AV10_961-328; AV10_961-329; AV10_961-33; AV10_961-330; AV10_961-331; AV10_961-332; AV10_961-333; AV10_961-334; AV10_961-34; AV10_961-35; AV10_961-36; AV10_961-37; AV10_961-38; AV10_961-39; AV10_961-4; AV10_961-40; AV10_961-41; AV10_961-42; AV10_961-43; AV10_961-44; AV10_961-45; AV10_961-46; AV10_961-47; AV10_961-48; AV10_961-49; AV10_961-5; AV10_961-50; AV10_961-51; AV10_961-52; AV10_961-53; AV10_961-54; AV10_961-55; AV10_961-56; AV10_961-57; AV10_961-58; AV10_961-59; AV10_961-6; AV10_961-60; AV10_961-61; AV10_961-62; AV10_961-63; AV10_961-64; AV10_961-65; AV10_961-66; AV10_961-67; AV10_961-68; AV10_961-69; AV10_961-7; AV10_961-70; AV10_961-71; AV10_961-72; AV10_961-73; AV10_961-74; AV10_961-75; AV10_961-76; AV10_961-77; AV10_961-78; AV10_961-79; AV10_961-8; AV10_961-80; AV10_961-81; AV10_961-82; AV10_961-83; AV10_961-84; AV10_961-85; AV10_961-86; AV10_961-862; AV10_961-87; AV10_961-88; AV10_961-89; AV10_961-9; AV10_961-90; AV10_961-91; AV10_961-92; AV10_961-93; AV10_961-94; AV10_961-95; AV10_961-96; AV10_961-97; AV10_961-98; AV10_961-99; AV10_962-1; AV10_963-1; AV10_964-1; AV10_965-1; AV10_966-1; AV10_967-1; AV10_968-2; AV10_969-2; AV10_970-1; AV10_970-2; AV10_971-2; AV10_974-1; AV11; AV11_1000-2; AV11_1001-2; AV11_1002-2; AV11_1003-1; AV11_1005-1; AV11_1006-1; AV11_1006-10; AV11_1006-11; AV11_1006-12; AV11_1006-13; AV11_1006-15; AV11_1006-16; AV11_1006-17; AV11_1006-18; AV11_1006-19; AV11_1006-2; AV11_1006-20; AV11_1006-21; AV11_1006-22; AV11_1006-23; AV11_1006-24; AV11_1006-25; AV11_1006-26; AV11_1006-27; AV11_1006-28; AV11_1006-29; AV11_1006-3; AV11_1006-30; AV11_1006-31; AV11_1006-32; AV11_1006-33; AV11_1006-34; AV11_1006-35; AV11_1006-36; AV11_1006-37; AV11_1006-38; AV11_1006-39; AV11_1006-4; AV11_1006-40; AV11_1006-41; AV11_1006-42; AV11_1006-43; AV11_1006-44; AV11_1006-45; AV11_1006-46; AV11_1006-47; AV11_1006-48; AV11_1006-49; AV11_1006-5; AV11_1006-50; AV11_1006-51; AV11_1006-52; AV11_1006-6; AV11_1006-7; AV11_1006-8; AV11_1006-9; AV11_1007-10; AV11_1007-11; AV11_1007-12; AV11_1007-13; AV11_1007-14; AV11_1007-15; AV11_1007-16; AV11_1007-17; AV11_1007-18; AV11_1007-19; AV11_1007-2; AV11_1007-20; AV11_1007-21; AV11_1007-22; AV11_1007-23; AV11_1007-24; AV11_1007-25; AV11_1007-26; AV11_1007-27; AV11_1007-28; AV11_1007-29; AV11_1007-3; AV11_1007-30; AV11_1007-31; AV11_1007-32; AV11_1007-33; AV11_1007-34; AV11_1007-35; AV11_1007-36; AV11_1007-37; AV11_1007-38; AV11_1007-39; AV11_1007-4; AV11_1007-40; AV11_1007-41; AV11_1007-42; AV11_1007-43; AV11_1007-44; AV11_1007-45; AV11_1007-46; AV11_1007-47; AV11_1007-48; AV11_1007-49; AV11_1007-5; AV11_1007-50; AV11_1007-51; AV11_1007-52; AV11_1007-53; AV11_1007-54; AV11_1007-55; AV11_1007-56; AV11_1007-57; AV11_1007-58; AV11_1007-59; AV11_1007-6; AV11_1007-60; AV11_1007-61; AV11_1007-62; AV11_1007-63; AV11_1007-7; AV11_1007-8; AV11_1007-9; AV11_1008-1; AV11_1010-1; AV11_1010-2; AV11_1011-1; AV11_1011-2; AV11_1012-1; AV11_1013-1; AV11_1013-2; AV11_1014-1; AV11_1014-2; AV11_1015-1; AV11_1015-2; AV11_1016-1; AV11_1016-2; AV11_1017-1; AV11_1017-2; AV11_1018-1; AV11_1018-2; AV11_1019-1; AV11_1019-2; AV11_1021-2; AV11_1022-2; AV11_1023-2; AV11_1024-2; AV11_1025-2; AV11_1026-2; AV11_1027-2; AV11_1028-2; AV11_1029-2; AV11_1030-2; AV11_1032-2; AV11_1033-2; AV11_1034-2; AV11_1035-2; AV11_1036-2; AV11_1037-2; AV11_1038-2; AV11_1039-2; AV11_1040-2; AV11_1041-2; AV11_1042-2; AV11_1043-2; AV11_1044-2; AV11_1045-2; AV11_1046-2; AV11_1051-1; AV11_1051-10; AV11_1051-11; AV11_1051-12; AV11_1051-13; AV11_1051-14; AV11_1051-15; AV11_1051-16; AV11_1051-17; AV11_1051-18;
    Type: Dataset
    Format: application/zip, 752 datasets
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 3
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    Alkenone production along the California Margin
    PANGAEA
    In:  Supplement to: Herbert, Timothy D; Schuffert, Jeffrey D; Thomas, D; Lange, Carina Beatriz; Weinheimer, Amy L; Peleo-Alampay, Alyssa; Herguera, Juan-Carlos (1998): Depth and seasonality of alkenone production along the California Margin inferred from a core top transect. Paleoceanography, 13(3), 263-271, https://doi.org/10.1029/98PA00069
    Details
    Publication Date: 2023-05-12
    Description: Alkenone unsaturation indices (Uk'37) of marine sediment could prove particularly useful on organic-rich continental margins where carbonate dissolution hampers the use of other paleoclimatic proxies [McCaffrey et al., 1990, doi:10.1016/0016-7037(90)90399-6; Kennedy and Brassell, 1992, doi:10.1016/0146-6380(92)90040-5]. Forty core top samples of Recent sediment from a latitudinal transect (23°-40°N) along the California margin yield Uk'37 values that correlate linearly with modern mean annual sea surface temperatures (SSTs) in the range of 12°-23°C. Reproducibility of the unsaturation value in closely spaced cores is near analytical error. Uk'37 data define a relationship to temperature nearly identical to the Prahl et al. [1988, doi:10.1016/0016-7037(88)90132-9] laboratory cultures of Emiliania huxleyi. The close agreement is particularly significant in light of the nannofossil composition of the sediments, where the abundance of the coccolith taxon Gephyrocapsa oceanica (known to synthesize alkenones) equals or exceeds that of E. huxleyi. Comparison with seasonal temperature variations at different depths indicates that little if any alkenone production occurs at depths 〉30 m along the continental margin (water depths 〈2 km). Sediments in more pelagic locations exhibit small but consistent biases toward winter and/or subsurface production similar to previously reported sediment trap and core top data from the Oregon margin [Prahl et al., 1993, doi:10.1016/0967-0637(93)90045-5; Doose et al., 1997, doi:10.1029/97PA00821].
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 4
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    Measurements of Urban, Marine and Biogenic Air (MUMBA): characterisation of trace gases and aerosol at the urban, marine and biogenic interface in summer in Wollongong, Australia (2017)
    PANGAEA
    In:  Supplement to: Paton-Walsh, Clare; Guérette, Elise-Andrée; Kubistin, Dagmar; Humphries, Ruhi S; Wilson, Stephen R; Dominick, Doreena; Galbally, Ian; Buchholz, Rebecca R; Bhujel, Mahendra; Chambers, Scott D; Cheng, Min; Cope, Martin; Davy, Perry; Emmerson, Kathryn M; Griffith, David W T; Griffiths, Alan D; Keywood, Melita D; Lawson, Sarah; Molloy, Suzie; Rea, Geraldine; Selleck, Paul; Shi, Xue; Simmons, Jack B; Velazco, Voltaire (2017): The MUMBA Campaign: Measurements of Urban, Marine and Biogenic Air. Earth System Science Data, 9(1), 349-362, https://doi.org/10.5194/essd-9-349-2017
    Details
    Publication Date: 2023-01-13
    Description: The Measurements of Urban, Marine and Biogenic Air (MUMBA) campaign took place in Wollongong, New South Wales (a small coastal city approximately 80 km south of Sydney, Australia), from 21st December 2012 to 15th February 2013. Instruments were deployed during MUMBA to measure the gaseous and aerosol composition of the atmosphere with the aim of providing a detailed characterisation of the complex environment of the ocean/forest/urban interface that could be used to test the skill of atmospheric models. Gases measured included ozone, oxides of nitrogen, carbon monoxide, carbon dioxide, methane and many of the most abundant volatile organic compounds. Aerosol characterisation included total particle counts above 3 nm, total cloud condensation nuclei counts; mass concentration of PM2.5, number concentration size distribution, aerosol chemical analyses and elemental analysis. Meteorological measurements and LIDAR measurements were also performed. The campaign captured varied meteorological conditions, including two extreme heat events, providing a potentially valuable test for models of future air quality in a warmer climate. There was also an episode when the site sampled clean marine air for many hours, providing a useful additional measure of background concentrations of these trace gases within this poorly sampled region of the globe. Here we present the observations recorded at the MUMBA site during the campaign, as well as radon and air quality data from nearby sites. These records can be used for testing chemical transport models.
    Type: Dataset
    Format: application/zip, 17 datasets
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    DATA PANGAEA
  • 5
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    Analysis of biogenic magnetite nanoparticles (2013)
    PANGAEA
    In:  Supplement to: Byrne, James M; Coker, V S; Moise, S; Wincott, P L; Vaughan, D J; Tuna, F; Arenholz, E; van der Laan, G; Pattrick, R A D P; Lloyd, J R; Telling, N D (2013): Controlled cobalt doping in biogenic magnetite nanoparticles. Journal of The Royal Society Interface, 10(83), 20130134-20130134, https://doi.org/10.1098/rsif.2013.0134
    Details
    Publication Date: 2023-01-13
    Description: Cobalt doped magnetite (CoxFe3-xO4) nanoparticles have been produced through the microbial reduction of cobalt-iron oxyhydroxide by the bacterium Geobacter sulfurreducens. The materials produced, as measured by SQUID, x-ray magnetic circular dichroism, Mössbauer spectroscopy, etc., show dramatic increases in coercivity with increasing cobalt content without a major decrease in overall saturation magnetization. Structural and magnetization analyses reveal a reduction in particle size to 〈4 nm at the highest Co content, combined with an increase in the effective anisotropy of the magnetic nanoparticles. The potential use of these biogenic nanoparticles in aqueous suspensions for magnetic hyperthermia applications is demonstrated. Further analysis of the distribution of cations within the ferrite spinel indicates that the cobalt is predominantly incorporated in octahedral coordination, achieved by the substitution of Fe2+ site with Co2+, with up to 17 per cent Co substituted into tetrahedral sites.
    Type: Dataset
    Format: application/zip, 695.2 kBytes
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    DATA PANGAEA
  • 6
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    (Table 2) Abundance of selectes coccolithoprids in surface sediments
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Keywords: BC; Box corer; CALGRK.K-173; CH9416; DEPTH, sediment/rock; Elevation of event; Emiliania huxleyi; Event label; Florisphaera profunda; Gephyrocapsa spp., large; Gephyrocapsa spp., small; GRKK-166; Latitude of event; Longitude of event; RGS0487BC-19; RGS0487BC-47; RGS0487BC-50; RGS0487BC-9; SBBX-1
    Type: Dataset
    Format: text/tab-separated-values, 32 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 7
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    Component parts of the World Heat Flow Data Collection
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Keywords: Conductivity, average; ELEVATION; Heat flow; LATITUDE; LONGITUDE; Method comment; Number; Sample, optional label/labor no; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 726 data points
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    DATA PANGAEA
  • 8
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    IODP Expedition 337, Shimokita Deep Coalbed Biosphere (2015)
    PANGAEA
    In:  Supplement to: Inagaki, F; Hinrichs, Kai-Uwe; Kubo, Y; Bowles, Marshall W; Heuer, Verena B; Hong, W-L; Hoshino, Tatsuhiko; Ijiri, Akira; Imachi, H; Ito, M; Kaneko, Masanori; Lever, Mark A; Lin, Yu-Shih; Methe, B A; Morita, S; Morono, Yuki; Tanikawa, Wataru; Bihan, M; Bowden, Stephen A; Elvert, Marcus; Glombitza, Clemens; Gross, D; Harrington, G J; Hori, T; Li, K; Limmer, D; Liu, Chiung-Hui; Murayama, M; Ohkouchi, Naohiko; Ono, Shuhei; Park, Young-Soo; Phillips, S C; Prieto-Mollar, Xavier; Purkey, M; Riedinger, Natascha; Sanada, Yoshinori; Sauvage, J; Snyder, Glen T; Susilawati, R; Takano, Yoshinori; Tasumi, E; Terada, Takeshi; Tomaru, Hitoshi; Trembath-Reichert, E; Wang, D T; Yamada, Y (2015): Exploring deep microbial life in coal-bearing sediment down to ~2.5 km below the ocean floor. Science, 439 (6246), 420-424, https://doi.org/10.1126/science.aaa6882
    Details
    Publication Date: 2023-04-29
    Description: Microbial life inhabits deeply buried marine sediments, but the extent of this vast ecosystem remains poorly constrained. Here we provide evidence for the existence of microbial communities in ~40° to 60°C sediment associated with lignite coal beds at ~1.5 to 2.5 km below the seafloor in the Pacific Ocean off Japan. Microbial methanogenesis was indicated by the isotopic compositions of methane and carbon dioxide, biomarkers, cultivation data, and gas compositions. Concentrations of indigenous microbial cells below 1.5 km ranged from 〈10 to ~10**4 cells cm**-3. Peak concentrations occurred in lignite layers, where communities differed markedly from shallower subseafloor communities and instead resembled organotrophic communities in forest soils. This suggests that terrigenous sediments retain indigenous community members tens of millions of years after burial in the seabed.
    Keywords: Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 9
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    Component parts of the World Heat Flow Data Collection
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Keywords: Area/locality; Conductivity, average; Depth, bottom/max; Depth, top/min; ELEVATION; Heat flow; LATITUDE; LONGITUDE; Number; Number of conductivity measurements; Sample, optional label/labor no; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 54 data points
    Location Call Number Expected Availability
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  • 10
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    (Table 1) Core top sediment composition and SST reconstruction
    PANGAEA
    Details
    Publication Date: 2023-06-27
    Keywords: 146-893B; AHF-11343; AHF-16832; AHF-28181; Alkenone, unsaturation index UK'37; BC; Box corer; CALBX-104; CALBX-125; CALBX-167; CALBX-170; CALBX-61; Calcium carbonate; Calculated from UK37 (Prahl et al., 1988); CALGRK.K-173; CH9416; DEPTH, sediment/rock; DRILL; Drilling/drill rig; Elevation of event; Event label; EW9504-03PC; EW9504-04PC; EW9504-09PC; extracted from the World Ocean Atlas 1994 (Levitus, 1994); F2-92-P1; F2-92-P4; F2-92-P42; F2-92-P44; F2-92-P5; F8-90-G12; F8-90-G21; F8-90-G3; F8-90-G5; F8-90-G7; Joides Resolution; L13-81-G121; L13-81-G127; L13-81-G145; L13-81-G151; L13-81-G155; Latitude of event; Leg146; Longitude of event; North Pacific Ocean; Pacific Ocean; PC; Piston corer; RGS0487BC-14; RGS0487BC-19; RGS0487BC-20; RGS0487BC-24; RGS0487BC-41; RGS0487BC-47; RGS0487BC-50; RGS0487BC-51; RGS0487BC-9; San Nicolas Basin; SB871; SBBX-1; Sea surface temperature, annual mean; Tanner Basin; Temperature, water, interpolated
    Type: Dataset
    Format: text/tab-separated-values, 160 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
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