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  • 1
    facet.materialart.
    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
  • 2
    facet.materialart.
    Unknown
    Bulk geochemistry of San Francisco and Marin county beach and offshore sediment
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Keywords: Aluminium; Antimony; Arsenic; Baker_Beach_West; Barium; Beryllium; Bismuth; Bonita_Cove_Central; Cadmium; Caesium; Calcium; Cerium; Chromium; Cobalt; Copper; Date/Time of event; DEPTH, sediment/rock; Description; Event label; Gallium; Grab; GRAB; Hand trowel; Inductively coupled plasma - mass spectrometry (ICP-MS); Iron; Lanthanum; Latitude of event; Lead; Lithium; Longitude of event; Magnesium; Manganese; Molybdenum; MSF37-2005; Nickel; Niobium; North_Ocean_Beach; OB23-2005; Phosphorus; Potassium; Pt_Bonita_1; Rodeo_Beach_2; Rubidium; Sand Wave Field; San Francisco Bay, California; Scandium; Silver; Sodium; South_Ocean_Beach; South Ocean Beach Offshore; Strontium; Thallium; Thorium; Titanium; TROW; Uranium; Vanadium; Yttrium; Zinc
    Type: Dataset
    Format: text/tab-separated-values, 304 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 3
    facet.materialart.
    Unknown
    San Francisco Coastal System grain size and geochemical data for sand provenance study
    PANGAEA
    In:  Supplement to: Barnard, Patrick L; Foxgrover, Amy C; Elias, Edwin; Erikson, Li H; Hein, James R; McGann, Mary L; Mizell, Kira; Rosenbauer, Robert J; Swarzenski, Peter W; Takesue, Renee K; Wong, Florence L; Woodrow, Donald L (2013): Integration of bed characteristics, geochemical tracers, current measurements, and numerical modeling for assessing the provenance of beach sand in the San Francisco Bay Coastal System. Marine Geology, 336, 120-145, https://doi.org/10.1016/j.margeo.2012.11.008
    Details
    Publication Date: 2023-05-12
    Description: Over 150 million cubic meter of sand-sized sediment has disappeared from the central region of the San Francisco Bay Coastal System during the last half century. This enormous loss may reflect numerous anthropogenic influences, such as watershed damming, bay-fill development, aggregate mining, and dredging. The reduction in Bay sediment also appears to be linked to a reduction in sediment supply and recent widespread erosion of adjacent beaches, wetlands, and submarine environments. A unique, multi-faceted provenance study was performed to definitively establish the primary sources, sinks, and transport pathways of beach sized-sand in the region, thereby identifying the activities and processes that directly limit supply to the outer coast. This integrative program is based on comprehensive surficial sediment sampling of the San Francisco Bay Coastal System, including the seabed, Bay floor, area beaches, adjacent rock units, and major drainages. Analyses of sample morphometrics and biological composition (e.g., Foraminifera) were then integrated with a suite of tracers including 87Sr/86Sr and 143Nd/144Nd isotopes, rare earth elements, semi-quantitative X-ray diffraction mineralogy, and heavy minerals, and with process-based numerical modeling, in situ current measurements, and bedform asymmetry to robustly determine the provenance of beach-sized sand in the region.
    Type: Dataset
    Format: application/zip, 5 datasets
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 4
    facet.materialart.
    Unknown
    Grain size analyses of sediment samples from the San Francisco Bay coastal system
    PANGAEA
    Details
    Publication Date: 2023-06-27
    Keywords: B_05_11_SF; B-2-10-SF; BA10; BA41; BC11; BD31; Beckman Coulter Laser diffraction particle size analyzer LS 100Q; BF21; BG20; BG30; BRMP01; BRMP02; BRMP03; BRMP04; BRMP05; BRMP06; BRMP07; BRMP08; BRMP09; BRMP10; BRMP11; BRMP12; BRMP13; BRMP14; BRMP15; BRMP16; BRMP17; BRMP18; BRP01; BRP02; BRP03; BRP04; BRP05; BRP06; BRP07; BRP08; BRP09; BRP10; BRP11; BRP12; BRP13; BRP14; BRP15; BRP16; BRP17; BRP18; BRP19; BRP20; Campaign of event; Carbon, inorganic, total; Carbon, organic, total; Carbon, total; CB001S; CB002S; CB023S; CB024S; CB041S; CB088S; CB107S; CB112S; CBMP01; CBMP02; CBMP03; CBMP04; CBMP06; CBMP09; CBMP10; CBMP11; CBMP12; CBMP13; CBMP14; CBMP16; CBMP17; CBMP18; CBMP19; CBMP20; CBMP21; CBMP22; CBMP23; CBMP24; CBMP25; CBMP26; CBMP27; CBMP28; CBMP29; CBMP30; CBMP31; CBMP32; CBMP33; CBMP34; CBMP35; CBMP36; CBMP37; CBMP40; CBP02; CBP05; CBP06; CBP07; CBP08; CBP09; CBP10; CBP11; CBP12; CBP14; CBP15; CBP17; CBP18; CBP19; CBP20; CBP21; CBP22; CBP23; CBP25; CBP26; CBP27; CBP28; CBP29; CBP30; CBP31; CBP32; CBP33; CBP34; CBP35; CBP36; CBP37; CBP38; CBP39; CBP40; CBP41; CBP42; CBP43; CBP45; CBP46; CBP47; CBP48; CR_01; CR_02A; CR_02B; CR_02C; CR_02D; CR_03; CR_04; CR_06B; CR_07B; CR_08; CR_09; CR_10; CR_11A1; CR_11A2; CR_11B; CR_15A; CR_15B; Date/Time of event; DEPTH, sediment/rock; E2g; Endeavor (USBR); Event label; GGP01; GGP03; GGP07; GGP08; GGP09; GGP10; GGP11; GGP12; GGP13; GGP14; GGP15; GGP16; Grab; GRAB; Grain size, mean; Grain size, sieving; Hand trowel; Kurtosis; Latitude of event; Longitude of event; LSB001S; LSB002S; LSB024S; LSB041S; LSB042S; LSB070S; LSB121S; LSB129S; OSP01; OSP02; OSP03; OSP05; OSP06; OSP07; OSP08; OSP09; OSP10; OSP11; OSP12; OSP13; OSP14; OSP15; OSP16; OSP17; OSP18; OSP22; OSP23; OSP24; OSP25; OSP26; OSP28; OSP29; OSP30; OSP31; OSP32; OSP33; OSP34; OSP35; OSP36; OSP37; OSP38; OSP39; Parke Snavely; S_01_12_SF; S-7-10-SF; S-8-10-SF; SAC01; SAC02; SACFP; SACHD; Sample type; San Francisco Bay, California; SB002S; SB023S; SB024S; SB041S; SB042S; SB099S; SB102S; SB114S; SBMP02; SBMP03; SBMP04; SBMP05; SBMP06; SBMP07; SBMP08; SBMP09; SBMP10; SBMP11; SBMP12; SBMP13; SBMP14; SBMP15; SBMP16; SBMP17; SBMP18; SBMP19; SBMP20; SBMP22; SBMP23; SBMP24; SBMP25; SBMP26; SBMP27; SBMP28; SBMP29; SBMP30; SBMP31; SBMP32; SBMP33; SBMP34; SBMP36; SBMP37; SBMP38; SBP01; SBP02; SBP03; SBP04; SBP05; SBP06; SBP07; SBP08; SBP09; SBP10; SBP11; SBP12; SBP13; SBP14; SBP15; SBP16; SBP17; SBP18; SBP19; SBP20; SBP21; SBP22; SBP23; SBP24; SBP25; SBP27; SBP28; SF_21027; SF_21302; SF_21313; SFPBCH01; SFPBCH02; SFPBCH03; SFPBCH04; SFPBCH05; SFPBCH06; SFPBCH07; SFPBCH08; SFPBCH09; SFPBCH10; SFPBCH11; SFPBCH12; SFPBCH13; SFPBCH14; SFPBCH15; SFPBCH16; SFPBCH17; SFPBCH18; SFPBCH19; SFPBCH20; SFPBCH21; SFPBCH22; SFPBCH23; SFPBCH24; SFPBCH25; SFPBCH26; SFPBCH27; SFPBCH28; SFPBCH29; SFPBCH30; SFPBCH31; SFPBCH32; SFPBCH33; SFPBCH34; SFPBCH35; SFPBCH36; SFPBCH37; SFPBCH38; SFPBCH39; SFPBCH40; SFPBCH41; SFPBCH42; Size fraction 〈 0.004 mm, clay; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 〉 2 mm, gravel; Size fraction 0.063-0.004 mm, silt; Size fraction 2.000-0.063 mm, sand; SJC01; SJC02; SJRST; Skewness; SPB001S; SPB002S; SPB023S; SPB024S; SPB042S; SPB055S; SPB088S; SPB132S; SPMP01; SPMP02; SPMP03; SPMP04; SPMP05; SPMP06; SPMP07; SPMP08; SPMP09; SPMP10; SPMP11; SPMP12; SPMP13; SPMP14; SPMP15; SPMP16; SPMP17; SPMP18; SPMP19; SPMP20; SPMP22; SPP01; SPP02; SPP03; SPP04; SPP05; SPP06; SPP07; SPP08; SPP09; SPP10; SPP11; SPP12; SPP13; SPP14; SPP15; SPP16; SSMP01; SSMP03; SSMP04; SSMP07; SSMP08; SSMP09; SSMP10; SSMP12; SSMP13; SSMP14; SSMP15; SSP01; SSP02; SSP03; SSP04; SSP05; SSP06; SSP07; SSP08; SSP09; SSP10; SSP11; SSP12; SSP13; SSP14; SSP15; SSP16; SSP17; SSP18; SSP19; Standard deviation; SU001S; SU023S; SU024S; SU043S; SU048S; SU055S; SU073S; SUO44S; TROW; Variance
    Type: Dataset
    Format: text/tab-separated-values, 6075 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 5
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    Unknown
    (Table 2) Number of samples used for each type of analysis by sample origin (2013)
    PANGAEA
    Details
    Publication Date: 2023-07-10
    Keywords: Analysis; Sample amount
    Type: Dataset
    Format: text/tab-separated-values, 36 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 6
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    Unknown
    Summary of sample analyses in the San Francisco Bay coastal system (2013)
    PANGAEA
    Details
    Publication Date: 2023-07-10
    Keywords: Analysis; B-2-10-SF; BRP01; BRP02; BRP03; BRP04; BRP05; BRP06; BRP07; BRP08; BRP09; BRP10; BRP11; BRP12; BRP13; BRP14; BRP15; BRP16; BRP17; BRP18; BRP19; BRP20; Campaign of event; CBP02; CBP05; CBP06; CBP07; CBP08; CBP09; CBP10; CBP11; CBP12; CBP14; CBP15; CBP17; CBP18; CBP19; CBP20; CBP21; CBP22; CBP23; CBP25; CBP26; CBP27; CBP28; CBP29; CBP30; CBP31; CBP32; CBP33; CBP34; CBP35; CBP36; CBP37; CBP38; CBP39; CBP40; CBP41; CBP42; CBP43; CBP45; CBP46; CBP47; CBP48; Comment; CR_01; CR_02A; CR_02B; CR_02C; CR_02D; CR_03; CR_04; CR_06B; CR_07B; CR_08; CR_09; CR_10; CR_11A1; CR_11A2; CR_11B; CR_15A; CR_15B; Date/Time of event; Event label; GGP01; GGP03; GGP07; GGP08; GGP09; GGP10; GGP11; GGP12; GGP13; GGP14; GGP15; GGP16; Grab; GRAB; HAND; Hand trowel; Latitude of event; Layer thickness; Longitude of event; OSP01; OSP02; OSP03; OSP05; OSP06; OSP07; OSP08; OSP09; OSP10; OSP11; OSP12; OSP13; OSP14; OSP15; OSP16; OSP17; OSP18; OSP22; OSP23; OSP24; OSP25; OSP26; OSP28; OSP29; OSP30; OSP31; OSP32; OSP33; OSP34; OSP35; OSP36; OSP37; OSP38; OSP39; Parke Snavely; S-7-10-SF; S-8-10-SF; SAC01; SAC02; SACFP; SACHD; Sample comment; Sample type; Sampling by hand; San Francisco Bay, California; SBP01; SBP02; SBP03; SBP04; SBP05; SBP06; SBP07; SBP08; SBP09; SBP10; SBP11; SBP12; SBP13; SBP14; SBP15; SBP16; SBP17; SBP18; SBP19; SBP20; SBP21; SBP22; SBP23; SBP24; SBP25; SBP27; SBP28; SFPBCH01; SFPBCH02; SFPBCH03; SFPBCH04; SFPBCH05; SFPBCH06; SFPBCH07; SFPBCH08; SFPBCH09; SFPBCH10; SFPBCH11; SFPBCH12; SFPBCH13; SFPBCH14; SFPBCH15; SFPBCH16; SFPBCH17; SFPBCH18; SFPBCH19; SFPBCH20; SFPBCH21; SFPBCH22; SFPBCH23; SFPBCH24; SFPBCH25; SFPBCH26; SFPBCH27; SFPBCH28; SFPBCH29; SFPBCH30; SFPBCH31; SFPBCH32; SFPBCH33; SFPBCH34; SFPBCH35; SFPBCH36; SFPBCH37; SFPBCH38; SFPBCH39; SFPBCH40; SFPBCH41; SFPBCH42; SFPCLF01; SFPCLF02A; SFPCLF02B; SFPCLF02C; SFPCLF03; SFPCLF04; SFPCLF05A; SFPCLF05B; SFPCLF05C; SFPCLF06; SFPCLF07; SFPCLF08; SFPCLF09; SFPCLF10; SFPCLF11A; SFPCLF11B_C; SFPCLF11D_E; SFPCLF13; SFPCLF14; SFPCLF15; SJC01; SJC02; SJRST; SPP01; SPP02; SPP03; SPP04; SPP05; SPP06; SPP07; SPP08; SPP09; SPP10; SPP11; SPP12; SPP13; SPP14; SPP15; SPP16; SSP01; SSP02; SSP03; SSP04; SSP05; SSP06; SSP07; SSP08; SSP09; SSP10; SSP11; SSP12; SSP13; SSP14; SSP15; SSP16; SSP17; SSP18; SSP19; TROW
    Type: Dataset
    Format: text/tab-separated-values, 2131 data points
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  • 7
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    Description of the samples in the San Francisco Bay coastal system (2013)
    PANGAEA
    Details
    Publication Date: 2023-06-27
    Keywords: Alameda; BRP01; BRP02; BRP03; BRP04; BRP05; BRP06; BRP07; BRP08; BRP09; BRP10; BRP11; BRP12; BRP13; BRP14; BRP15; BRP16; BRP17; BRP18; BRP19; BRP20; C-1-3, Sunnyvale; C-3-0, San Jose; Campaign of event; CBP02; CBP05; CBP06; CBP07; CBP08; CBP09; CBP10; CBP11; CBP12; CBP14; CBP15; CBP17; CBP18; CBP19; CBP20; CBP23; CBP30; CBP31; CBP37; CBP38; CBP39; Coyote Creek; Date/Time of event; Date/Time of event 2; David Johnston; Davis Point; Dumbarton Bridge; Elevation of event; Event label; GGP01; GGP09; GGP10; GGP11; GGP12; GGP15; Grab; GRAB; Grizzly Bay; Guadalupe River; Honker Bay; Horseshoe Bay; J-1-98_01; J-1-98_02; J-1-98_03; J-1-98_04; J-1-98_05; J-1-98_06; J-1-98_07; J-1-98_08; J-1-98_10a; J-1-98_11; J-1-98_12; J-1-98_13; J-1-98_14; J-1-98_15; J-1-98_16; J-1-98_17a; J-1-98_18; J-1-98_19; J-1-98_20; J-1-98_21; J-1-98_22; J-1-98_23; J-1-98_24; J-1-98_25; J-1-98_26; J-1-98_27; J-1-98_28; J-1-98_29; J-1-98_30; J-1-98_31; J-1-98_32; J-1-98_33; J-1-98_34; J-1-98_35; J-1-98_36; J-1-98_37; J-1-98_38; J-1-98_39; J-1-98_40; J-1-98_41; J-1-98_42; J-1-98_43; J-1-98_44; J-1-98_45; J-1-98_46; J-1-98_47; J-1-98_48; J-1-98_49; J-1-98_50; J-1-98_51; J-1-98_52; J-1-98_53; J-1-98_54; J-1-98_55; J-1-98_56; J-1-98-SF; Latitude of event; Longitude of event; Napa River; Number; Optional event label; OSP01; OSP03; OSP05; OSP06; OSP10; OSP12; OSP13; OSP14; OSP15; OSP16; OSP17; OSP18; OSP22; OSP23; OSP24; OSP25; OSP26; OSP28; OSP29; OSP31; OSP32; OSP35; OSP36; OSP38; OSP39; Oyster Point; Pacheco Creek; Parke Snavely; Petaluma River; Pinole Point; Point Isabel; Red Rock; Redwood Creek; Richardson Bay; S-7-10-SF; S-8-10-SF; Sacramento River; Sample comment; San Bruno Shoal; San Francisco Bay, California; San Francisco Estuary Institute Regional Monitoring Program 1995-1998; San Joaquin River; San Pablo Bay; SBP01; SBP02; SBP03; SBP04; SBP05; SBP06; SBP07; SBP08; SBP09; SBP10; SBP11; SBP12; SBP13; SBP14; SBP15; SBP16; SBP17; SBP18; SBP19; SBP20; SBP21; SBP22; SBP23; SBP24; SBP25; SBP27; SBP28; SFEI; SFEI_BA05; SFEI_BA06; SFEI_BA10; SFEI_BA21; SFEI_BA30; SFEI_BA41; SFEI_BB15; SFEI_BB30; SFEI_BB70; SFEI_BC11; SFEI_BC21; SFEI_BC32; SFEI_BC41; SFEI_BC60; SFEI_BD15; SFEI_BD22; SFEI_BD31; SFEI_BD41; SFEI_BD50; SFEI_BF10; SFEI_BF21; SFEI_BF40; SFEI_BG20; SFEI_BG30; SFEI_BW10; SFEI_BW15; South Bay; SPP01; SPP02; SPP03; SPP04; SPP05; SPP06; SPP07; SPP08; SPP09; SPP10; SPP11; SPP12; SPP13; SPP14; SPP15; SPP16; SSP01; SSP02; SSP03; SSP04; SSP05; SSP06; SSP07; SSP08; SSP09; SSP16; SSP17; SSP18; SSP19; Standish Dam; Yerba Buena Island
    Type: Dataset
    Format: text/tab-separated-values, 241 data points
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  • 8
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    Gravity potential spherical harmonic series (2011)
    PANGAEA
    In:  Supplement to: Gruber, Thomas; Bamber, Jonathan L; Bierkens, Marc F P; Dobslaw, Henryk; Murböck, M; Thomas, M; van Beek, L P H; van Dam, T; Vermeersen, L L A; Visser, P N A M (2011): Simulation of the time-variable gravity field by means of coupled geophysical models. Earth System Science Data, 3(1), 19-35, https://doi.org/10.5194/essd-3-19-2011
    Details
    Publication Date: 2023-09-02
    Description: Time variable gravity fields, reflecting variations of mass distribution in the system Earth is one of the key parameters to understand the changing Earth. Mass variations are caused either by redistribution of mass in, on or above the Earth's surface or by geophysical processes in the Earth's interior. The first set of observations of monthly variations of the Earth gravity field was provided by the US/German GRACE satellite mission beginning in 2002. This mission is still providing valuable information to the science community. However, as GRACE has outlived its expected lifetime, the geoscience community is currently seeking successor missions in order to maintain the long time series of climate change that was begun by GRACE. Several studies on science requirements and technical feasibility have been conducted in the recent years. These studies required a realistic model of the time variable gravity field in order to perform simulation studies on sensitivity of satellites and their instrumentation. This was the primary reason for the European Space Agency (ESA) to initiate a study on ''Monitoring and Modelling individual Sources of Mass Distribution and Transport in the Earth System by Means of Satellites''. The goal of this interdisciplinary study was to create as realistic as possible simulated time variable gravity fields based on coupled geophysical models, which could be used in the simulation processes in a controlled environment. For this purpose global atmosphere, ocean, continental hydrology and ice models were used. The coupling was performed by using consistent forcing throughout the models and by including water flow between the different domains of the Earth system. In addition gravity field changes due to solid Earth processes like continuous glacial isostatic adjustment (GIA) and a sudden earthquake with co-seismic and post-seismic signals were modelled. All individual model results were combined and converted to gravity field spherical harmonic series, which is the quantity commonly used to describe the Earth's global gravity field. The result of this study is a twelve-year time-series of 6-hourly time variable gravity field spherical harmonics up to degree and order 180 corresponding to a global spatial resolution of 1 degree in latitude and longitude. In this paper, we outline the input data sets and the process of combining these data sets into a coherent model of temporal gravity field changes. The resulting time series was used in some follow-on studies and is available to anybody interested.
    Keywords: DATE/TIME; File name; Method comment; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 180 data points
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  • 9
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    Roosevelt Island Climate Evolution (RICE) ice core isotope record (2017)
    PANGAEA
    In:  Supplement to: Bertler, Nancy A; Conway, Howard; Dahl-Jensen, Dorthe; Emanuelsson, Urban; Winstrup, Mai; Vallelonga, Paul T; Lee, James E; Brook, Edward J; Severinghaus, Jeffrey P; Fudge, Tyler J; Keller, Elizabeth D; Baisden, W Troy; Hindmarsh, Richard C A; Neff, Peter D; Blunier, Thomas; Edwards, Ross L; Mayewski, Paul Andrew; Kipfstuhl, Sepp; Buizert, Christo; Canessa, Silvia; Dadic, Ruzica; Kjær, Helle Astrid; Kurbatov, Andrei; Zhang, Dongqi; Waddington, Edwin D; Baccolo, Giovanni; Beers, Thomas; Brightley, Hannah J; Carter, Lionel; Clemens-Sewall, David; Ciobanu, Viorela G; Delmonte, Barbara; Eling, Lukas; Ellis, Aja A; Ganesh, Shruthi; Golledge, Nicholas R; Haines, Skylar A; Handley, Michael; Hawley, Robert L; Hogan, Chad M; Johnson, Katelyn M; Korotkikh, Elena; Lowry, Daniel P; Mandeno, Darcy; McKay, Robert M; Menking, James A; Naish, Timothy R; Noerling, Caroline; Ollive, Agathe; Orsi, Anais J; Proemse, Bernadette C; Pyne, Alexander R; Pyne, Rebecca L; Renwick, James; Scherer, Reed P; Semper, Stefanie; Simonsen, Marius; Sneed, Sharon B; Steig, Eric J; Tuohy, Andrea; Ulayottil Venugopal, Abhijith; Valero Delgado, Fernando; Venkatesh, Janani; Wang, Feitang; Wang, Shimeng; Winski, Dominic A; Winton, Victoria H L; Whiteford, Arran; Xiao, Cunde; Yang, Jiao; Zhang, Xin (2018): The Ross Sea dipole - temperature, snow accumulation and sea ice variability in the Ross Sea region, Antarctica, over the past 2700 years. Climate of the Past, 14, 193-214, https://doi.org/10.5194/cp-14-193-2018
    Details
    Publication Date: 2024-03-18
    Description: High-resolution, well-dated climate archives provide an opportunity to investigate the dynamic interactions of climate patterns relevant for future projections. Here, we present data from a new, annually-dated ice core record from the eastern Ross Sea. Comparison of the Roosevelt Island Climate Evolution (RICE) ice core records with climate reanalysis data for the 1979-2012 calibration period shows that RICE records reliably capture temperature and snow precipitation variability of the region. RICE is compared with data from West Antarctica (West Antarctic Ice Sheet Divide Ice Core) and the western (Talos Dome) and eastern (Siple Dome) Ross Sea. For most of the past 2,700 years, the eastern Ross Sea was warming with perhaps increased snow accumulation and decreased sea ice extent. However, West Antarctica cooled whereas the western Ross Sea showed no significant temperature trend. From the 17th Century onwards, this relationship changes. All three regions now show signs of warming, with snow accumulation declining in West Antarctica and the eastern Ross Sea, but increasing in the western Ross Sea. Analysis of decadal to centennial-scale climate variability superimposed on the longer term trend reveal that periods characterised by opposing temperature trends between the Eastern and Western Ross Sea have occurred since the 3rd Century but are masked by longer-term trends. This pattern here is referred to as the Ross Sea Dipole, caused by a sensitive response of the region to dynamic interactions of the Southern Annual Mode and tropical forcings.
    Keywords: AGE; Age, maximum/old; Age, minimum/young; DEPTH, ice/snow; ICEDRILL; Ice drill; Isotope ratio mass spectrometry; RICE; Roosevelt Island, Antarctica; δ Deuterium
    Type: Dataset
    Format: text/tab-separated-values, 8136 data points
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  • 10
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    Water quality of the coral Platygyra carnosa in Port Island (Hong Kong) (2021)
    PANGAEA
    Details
    Publication Date: 2023-03-14
    Description: A 2-year monthly survey has been carried out in Port Island (Hon Kong, SAR China) from April 2018 to March 2020 to monitor the water quality conditions and assess the physiological status of coral colonies Platygyra carnosa. Seawater parameters were measured every month along the water column using a YSI EXO2 multiparameter sonde to record values of chlorophyll, conductivity, depth, oxygen concentration, salinity, total dissolved solids, blue-green algae, turbidity, pH and temperature. Light intensity at coral depth (3-4 m) was measured using a Hobo light-meter during each survey. These data were used to identify the seasonal influence of water conditions on metabolism, productivity, and calcification of the coral Platygyra carnosa.
    Keywords: Blue-green algae; Brightness; Chek Chau, Port Island, Hong Kong; Chlorophyll a; Conductivity, specific; Coral; coral calcification; coral metabolism; coral physiology; coral productivity; DATE/TIME; DEPTH, water; hong kong; MULT; Multiparameter probe, YSI Xylem Inc., EXO2; Multiple investigations; Oxygen; Oxygen saturation; pH; Platygyra_carnosa-Time_series; Salinity; Season; subtropical area; subtropical reef; Temperature, water; Total dissolved solids; Turbidity (Formazin nephelometric unit)
    Type: Dataset
    Format: text/tab-separated-values, 25085 data points
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