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  • 1995-1999  (324,205)
  • 1999  (324,205)
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  • 1
    Publication Date: 2024-06-13
    Keywords: A150/180; A153-154; A15-547TW; A15-552TW; A15-558P; A15-558TW; A15-559FF; A15-572FF; A15-585GC; A15-586TW; A15-590GC; A15-591GC; A15-592FF; A15-596FF; A15-597A; A15-597B; A15-600FF; A15-602FF; A15-612GC; A15-614TW; A15-618GC; A164-13; A164-15; A164-16; A164-17; A164-23; A167-12; A167-13; A167-18TW; A167-1TW; A179-13; A179-15; A179-24; A179-6; A179-7; A180-13; A180-20; A180-39; A180-69; A180-72; A180-76; A180-78; A181/185; A181-7; A181-9; A260210A; All5402P; All5423P; All5424P; All542P; AMPH-011P; AMPH-012G; AMPH-013G; AMPH-016G; AMPH-017G; AMPH-019G; AMPH01AR; AMPH-021G; AMPH-022G; AMPH-023G; AMPH-024G; AMPHITRITE; AR1-117; AR1-119; AR1-144; AR2-113; AR2-117; AR2-136; AR3-25; AR3-38; AR3-45; AR4-52; AR4-55; AR4-56; AR4-63; Argo; ARIES; ARIES-046G; ARIES-049G; Atlantic; Atlantic Ocean; Bay of Bengal; Calculated, see reference(s); CAP-44BG; CAP-4BG; CAP-5HG; CAP-6HG; CH10098P; CH10-98; CIRCE; CIRCE-21; CIRCE-239; CIRCE-24; CIRCE-26; CIRCE-32; CIRCE-36; CIRCE-38; CIRCE-42; CIRCE-44; DEPTH, sediment/rock; DODO; DODO-117PG; DODO-119PG; DODO-126P; DODO-144G; DODO-173G; DODO-191; DODO-192G; DODO-193; DODO-195G; DODO-197; DODO-200V; DODO-201G; DODO-202V; DODO-204; DODO-220V; DW013; DW089; DW137; DW147B; DWD-11BG; DWD-137G; DWD-13HH; DWD-143; DWD-147B; DWD-15BG; DWD-47B; DWD-54HG; DWD-89HH; DWD-89HH-2; DWD-93BG; Eastern Equatorial Pacific; Elevation of event; Event label; FANHMS2G; FANHMS4G; FFC; Free fall corer; GC; Grab; GRAB; Gravity corer; Horizon; Indian Ocean; KM1-41; KNR073-04-003; KNR733P; Knr735P; KNR735P; LATITUDE; LONGITUDE; LSDA; LSDA-103V; LSDA-106G; LSDA-107GA; LSDA-113G; LSDA-117G; LSDA-136G; LSDA-SCS; LSDA-SCS-002G; LSDA-SCS-003G; LSDH; LSDH-025V; LSDH-038V; LSDH-076PG; LSDH-077G; LSDH-078PG; LSDH-079PG; LSDH09; LSDH-104G; LUSIAD-9; LUSIAD-A; LUSIAD-H; Marion Dufresne (1972); MD10; MD13; MD76-132; MD76-135; MD77-168; MD77-169; MD77-170; MD77-171; MD77-174; MD77-176; MD77-179; MD77-181; MD77-185; MD77-191; MD77-196; MD77-199; MD77-202; MD77-203; MD77-204; Melville; MONS01AR-MONS08AR; MONSOON; MSN-45G; MSN-52G; MSN-55G; MSN-56PG; MSN-63G; OSIRIS II; OSIRIS III; PAP-127V; PAP-14; PAP-19; PC; Piston corer; PLDS-001G; PLDS-1; Pleiades; PROA; PROA-084PG; PROA-085PG-1; PROA-118G; PROA-122G; PROA-124G1; PROA-149G; PROA-155G; RC0-117; RC08; RC08-102; RC08-103; RC08-16; RC08-18; RC08-22; RC08-23; RC08-27; RC08-28; RC08-53; RC08-60; RC09; RC09-155; RC09-160; RC09-161; RC09-162; RC09-61; RC09-67; RC10; RC10-139; RC10-140; RC10-141; RC10-142; RC10-146; RC10-161; RC10-162; RC10-172; RC10-175; RC10-176; RC10-22; RC10-49; RC10-52; RC10-53; RC10-54; RC10-56; RC10-62; RC10-64; RC11; RC11-10; RC11-106; RC11-11; RC11-111; RC11-116; RC11-117; RC1112; RC11-12; RC11-122; RC11-128; RC11-13; RC11-138; RC11-14; RC11-145; RC11-146; RC11-147; RC11-15; RC11-16; RC11-160; RC11-162; RC11-21; RC11-22; RC11-230; RC11-238; RC11-255; RC11-26; RC11-260; RC11-35; RC11-37; RC11-86; RC11-9; RC12; RC12-138; RC12-139; RC12-143; RC12-146; RC12-266; RC12-268; RC12-297; RC12-298; RC12-299; RC12-300; RC12-303; RC12-304; RC12-328; RC12-330; RC12-331; RC12-332; RC12-333; RC12-335; RC12-339; RC12-340; RC12-341; RC12-342; RC12-343; RC12-344; RC12-347; RC12-350; RC12-417; RC12-418; RC12-45; RC13; RC13-108; RC13-110; RC13-113; RC13-115; RC13-122; RC13-136; RC13-138; RC13-140; RC13-158; RC13-17; RC13-189; RC13-190; RC13-195; RC13-196; RC13-197; RC13-199; RC13-209; RC13-210; RC13-229; RC13-242; RC14; RC14-29; RC14-31; RC14-33; RC14-34; RC14-35; RC14-36; RC14-37; RC14-39; RC14-44; RC14-92; RC14-93; RC14-94; RC14-97; RC15; RC15-143; RC15-145; RC15-151; RC17; RC17-101; RC17-102; RC17-103; RC17-104; RC17-105; RC17-110; RC17-113; RC17-114; RC17-116; RC17-121; RC17-123; RC17-125; RC17-126; RC17-127; RC17-132; RC17-142; RC17-144; RC17-145; RC17-176; RC17-177; RC17-178; RC18; RC18-47; RIS-121V; RIS-15G; RIS-17G; RIS-21G; RIS-32; RIS-33; RIS-34; RIS-35; Robert Conrad; SCAN; SCAN-022PG; SCAN-023PG; SCAN-025G; SCAN-026G; SCAN-027G; SCAN-028G; SCAN-084PG; SCAN-088PG; SCAN-091G; SCAN-096P; SDS-95P; SDS-97P; Sea surface temperature, annual mean; Sea surface temperature, residual; SOB; SOB-026GA; South Atlantic Ocean; Southern Borderland; South Pacific Ocean; Spencer F. Baird; TC; TET_38G; TETH02BD; TETH02BD-038G; TETHYS_2; Thomas Washington; TRI-02G; Trigger corer; TRIP03AR; TRIPOD_3; TSDY-12G; TSP-97G; V03; V03-128; V04; V04-12; V04-32; V04-8; V05; V05-1; V05-31; V06; V06-5; V07; V07-13; V07-42; V07-53; V07-67; V09; V09-31; V10; V10-88; V10-89; V12; V12-122; V12-18; V12-4; V12-66; V12-7; V12-79; V12-80; V14; V14-100; V14-101; V14-102; V14-103; V14-104; V14-105; V14-106; V14-107; V14-108; V14-4; V14-5; V14-7; V14-77; V14-81; V14-95; V14-97; V14-98; V15; V15-164; V15-206; V15-23; V15-30; V16; V16-189; V16-190; V16-20; V16-200; V16-205; V16-206; V16-209; V16-21; V16-23; V16-31; V16-33; V16-35; V16-36; V16-37; V16-39; V16-41; V16-50; V16-67; V16-84; V16-86; V16-87; V16-88; V16-94; V16-95; V16-96; V17; V17-1; V17-147; V17-158; V17-162; V17-163; V17-164; V17-165; V18; V18-16; V18-182; V18-186; V18-188; V18-191; V18-21; V18-215; V18-312; V18-318; V18-34; V18-350; V18-353; V18-373; V19; V19-176; V19-177; V19-178; V19-183; V19-184; V19-185; V19-200; V19-201; V19-202; V19-209; V19-240; V19-242; V19-245; V19-246; V19-248; V19-25; V19-262; V19-27; V19-283; V19-29; V19-296; V19-308; V20; V20-103; V20-133; V20-170; V20-171; V20-174; V20-175; V20-177; V20-213; V20-227; V20-228; V20-230; V20-233; V20-234; V20-235; V20-242; V20-253; V20-7; V20-96; V21; V21-105; V21-107; V21-109; V21-210; V21-212; V21-26; V21-28; V21-29; V21-31; V21-34; V21-39; V21-41; V21-79; V21-83; V21-84; V21-85; V21-93; V22; V22-122; V22-168; V22-169; V22-172; V22-175; V22-177; V22-179; V22-180; V22-182; V22-188; V22-202; V22-204; V22-211; V22-219; V22-232; V22-24; V22-26; V22-36; V22-38; V22-71; V23; V23-101; V23-105; V23-107; V24; V24-109; V24-110; V24-117; V24-139; V24-143; V24-148; V24-149; V24-150; V24-151; V24-221; V24-237; V24-241; V24-48; V24-8; V24-96; V25; V25-24; V25-46; V26; V26-100; V26-165; V26-31; V26-51; V26-53; V26-55; V26-63; V26-68; V27; V27-143; V27-144; V27-162; V27-164; V27-167; V27-172; V27-175; V27-178; V27-181; V27-184; V27-188; V27-190; V27-206; V27-215; V27-227; V27-228; V27-233; V27-234; V27-239; V27-248; V27-254; V27-266; V28; V28-124; V28-144; V28-146; V28-147; V28-148; V28-152; V28-153; V28-168; V28-229; V28-230; V28-231; V28-232; V28-233; V28-234; V28-235; V28-246; V28-248; V28-250; V28-252; V28-259; V28-260; V28-261; V28-262; V28-292; V28-296; V28-297; V28-304; V28-308; V28-309; V28-311; V28-342; V28-345; V28-358; V28-98; V29; V29-134; V29-135; V29-144; V29-15; V29-167; V29-170; V29-25; V29-26; V29-29; V29-30; V29-44; V29-45; V29-48; V29-6; V29-93; V30; V30-49; V30-52; V30-54; V30-56; V30-58; V30-59; V30-61; V30-62; V30-64; V30-65; V30-67; V30-68; V32; V32-126; V32-127; V32-130; V32-139; V32-173; V32-174; V34; V34-100; V34-101; V34-106; V34-109; V34-111; V34-113; V34-114; V34-124; V34-48; V34-49; V34-51; V34-52; V34-53; V34-54; V34-55; V34-56; V34-57; V34-58; V34-80; V34-82; V34-83; V34-85; V34-87; V34-88; V34-89; V34-90; V34-91; V34-92; Vema; VNTR01; VNTR01-8PC; Y69-106P; Y69-71P; Y69-86P; Y71-06; Y71-06-12; Y71-09; Y71-09-101; Y73-03; Y73-03-006; Y73-04; Y73-04-034P; YALOC69; Yaquina; ZETES; ZTES03AR; ZTES-3G; ZTS3
    Type: Dataset
    Format: text/tab-separated-values, 1358 data points
    Location Call Number Expected Availability
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  • 2
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    Unknown
    PANGAEA
    In:  Supplement to: Mix, Alan C; Morey, Ann E; Pisias, Nicklas G; Hostetler, Steven W (1999): Foraminiferal faunal estimates of paleotemperature: Circumventing the no-analog problem yields cool ice age tropics. Paleoceanography, 14(3), 350-359, https://doi.org/10.1029/1999PA900012
    Publication Date: 2024-06-13
    Description: The sensitivity of the tropics to climate change, particularly the amplitude of glacial-to-interglacial changes in sea surface temperature (SST), is one of the great controversies in paleoclimatology. Here we reassess faunal estimates of ice age SSTs, focusing on the problem of no-analog planktonic foraminiferal assemblages in the equatorial oceans that confounds both classical transfer function and modern analog methods. A new calibration strategy developed here, which uses past variability of species to define robust faunal assemblages, solves the no-analog problem and reveals ice age cooling of 5° to 6°C in the equatorial current systems of the Atlantic and eastern Pacific Oceans. Classical transfer functions underestimated temperature changes in some areas of the tropical oceans because core-top assemblages misrepresented the ice age faunal assemblages. Our finding is consistent with some geochemical estimates and model predictions of greater ice age cooling in the tropics than was inferred by Climate: Long-Range Investigation, Mapping, and Prediction (CLIMAP) [1981] and thus may help to resolve a long-standing controversy. Our new foraminiferal transfer function suggests that such cooling was limited to the equatorial current systems, however, and supports CLIMAP's inference of stability of the subtropical gyre centers.
    Keywords: 138-846B; A150/180; A152-84; A153-154; A15-547TW; A15-552TW; A15-558; A15-558P; A15-558TW; A15-559FF; A15-572FF; A15-585GC; A15-586TW; A15-590GC; A15-591GC; A15-592FF; A15-596FF; A15-597A; A15-597B; A15-600FF; A15-602FF; A15-612GC; A15-614TW; A15-618GC; A156-4; A157-3; A164-13; A164-15; A164-16; A164-17; A164-23; A164-24; A164-5; A164-6; A164-61; A167-12; A167-13; A167-14; A167-18TW; A167-1TW; A172-1; A172-2; A173-4; A179-13; A179-15; A179-20; A179-24; A179-6; A179-7; A180-13; A180-15; A180-16; A180-20; A180-32; A180-39; A180-47; A180-47PC; A180-48; A180-48PC; A180-56; A180-69; A180-70; A180-72; A180-73; A180-74; A180-76; A180-78; A180-9; A181/185; A181-7; A181-9; A260210A; Agassiz; AH-1; AH-4; AH-5; AH-7; AH-8; All5402P; All5423P; All5424P; All542P; also published as VM28-122; AMPH-005G; AMPH-007PG; AMPH-011P; AMPH-012G; AMPH-013G; AMPH-016G; AMPH-017G; AMPH-019G; AMPH01AR; AMPH-021G; AMPH-022G; AMPH-023G; AMPH-024G; AMPH-107G; AMPH-130G; AMPH-131G; AMPH-132G; AMPH-133G; AMPH-134G; AMPH-135GV; AMPH-137GV; AMPH-138GV; AMPH-139GV; AMPHITRITE; AR1-117; AR1-119; AR1-144; AR2-113; AR2-117; AR2-128; AR2-136; AR3-25; AR3-38; AR3-45; AR4-52; AR4-55; AR4-56; AR4-63; Argo; ARIES; ARIES-046G; ARIES-049G; Atlantic; Atlantic Ocean; Bay of Bengal; BC; Box corer; BRA-262D; BRA-91AD; BRA-91D; BRA-96D; CAP-1BG; CAP-1HG; CAP-2-1BG; CAP-32HG; CAP-3HG; CAP-42-1; CAP-44BG; CAP-48-2; CAP-48HG; CAP-49BG; CAP-4BG; CAP-50HG; CAP-5HG; CAP-6HG; CAP-8-2; CH10098P; CH10-98; CHA-164B; CHA-296; CHA-300; CHA-302; Challenger1872; CHM-5; CHU-23; CHU-23G; CHU-24; CHU-26; CHU-30; CHU-X1; CIRCE; CIRCE-21; CIRCE-239; CIRCE-24; CIRCE-26; CIRCE-27; CIRCE-32; CIRCE-36; CIRCE-38; CIRCE-42; CIRCE-44; CUS-3G; DIS-385D; DIS-386D; DODO; DODO-117PG; DODO-119PG; DODO-126P; DODO-126PG; DODO-144G; DODO-173G; DODO-191; DODO-192G; DODO-193; DODO-195G; DODO-197; DODO-200V; DODO-201G; DODO-202V; DODO-204; DODO-220V; DRILL; Drilling/drill rig; DW010; DW013; DW034; DW035; DW036; DW048; DW050; DW058; DW089; DW137; DW147B; DWD-100B; DWD-108B; DWD-10BG; DWD-10HH; DWD-11BG; DWD-12BG; DWD-12HH; DWD-137G; DWD-13BG; DWD-13HH; DWD-143; DWD-147B; DWD-149; DWD-15BG; DWD-16BG; DWD-34HG; DWD-35HH; DWD-36HG; DWD-46BG; DWD-47B; DWD-47BG; DWD-48BG; DWD-48HG; DWD-49BG; DWD-50HG; DWD-54HG; DWD-56BG; DWD-56HG; DWD-58BG; DWD-58HH; DWD-59BG; DWD-60BG; DWD-61BG; DWD-62BG; DWD-63BG; DWD-64BG; DWD-68BG; DWD-70BG; DWD-71BG; DWD-73BG; DWD-74BG; DWD-75BG; DWD-76BG; DWD-77BG; DWD-78BG; DWD-79BG; DWD-83BG; DWD-89HH; DWD-89HH-2; DWD-93BG; East Atlantic; Eastern Equatorial Pacific; ELT11.010; ELT11.064; ELT11.089; ELT-1101; ELT-1110; ELT-1164; ELT-1189; ELT-1246; ELT-1271; ELT44; ELT44.027-PC; ELT45; ELT45.027-PC; ELT45.029-PC; ELT45.070-PC; ELT45.073-PC; ELT45.077-PC; ELT45.078-PC; ELT45.081-PC; ELT48; ELT48.003-PC; ELT48.011-PC; ELT48.022-PC; ELT48.023-PC; ELT48.027-PC; ELT49; ELT49.022-PC; ELT49.023-PC; ELT49.024-PC; ELT49.025-PC; Eltanin; ELT-C100; EN06601; EN066-10GGC; Endeavor; EQA-27; FANHMS2G; FANHMS4G; FFC; Free fall corer; GC; GIK12392-1; Grab; GRAB; Gravity corer; H.M.S. Challenger (1872); Horizon; Indian Ocean; JAPANYON; Joides Resolution; JSB-5P; JSB-6P; JYN2; JYN2-007G; JYN5-019G; K708-001; K708-004; K708-006; K708-007; K708-008; K714-3; KAL; Kasten corer; KM1-41; KNR073-04-003; KNR733P; Knr735P; KNR735P; Leg138; LFGS; LFGS-36G; LFGS-38G; LFGS-45G; LSDA; LSDA-103V; LSDA-106G; LSDA-107GA; LSDA-113G; LSDA-117G; LSDA-128G; LSDA-136G; LSDA-SCS; LSDA-SCS-002G; LSDA-SCS-003G; LSDA-SCS-006G; LSDA-SCS-008G; LSDA-SCS-009G; LSDA-SCS-013D; LSDH; LSDH-009G; LSDH-025V; LSDH-038V; LSDH-076PG; LSDH-077G; LSDH-078PG; LSDH-079P; LSDH-079PG; LSDH-080G; LSDH09; LSDH-093PG; LSDH-104G; LUSIAD-9; LUSIAD-A; LUSIAD-H; M12392-1; M25; M70-68; M70-PC-49; M70-PC-61; Marion Dufresne (1972); MD10; MD13; MD76-131; MD76-132; MD76-135; MD77-168; MD77-169; MD77-170; MD77-171; MD77-174; MD77-176; MD77-179; MD77-180; MD77-181; MD77-185; MD77-191; MD77-194; MD77-196; MD77-199; MD77-202; MD77-203; MD77-204; MDPC03HO-043K; Melville; MEN; MEN-08G; MEN-11G; MEN-12G; Meteor (1964); MIDPAC; MONS01AR-MONS08AR; MONSOON; MPC-0-1; MPC-0-2; MPC-10-1; MPC-1-1; MPC-11-1; MPC-43K; MPC-45; MSN-100G; MSN-103P; MSN-104P; MSN-109P; MSN-10G; MSN-135P; MSN-136G; MSN-137P; MSN-138P; MSN-141G; MSN-14G; MSN-45G; MSN-52G; MSN-55G; MSN-56PG; MSN-63G; MSN-90G; MSN-93G; mt1-gyre; MT1-gyre; mt1-mid; MT1-mid; mt1-nrsh; MT1-nrsh; MUK-19BP; MUK-20BP; MUK-27HG; NEL-394D; NZO-A106; NZO-A181; NZO-A315; OSIRIS II; OSIRIS III; Pacific Ocean; PAP-127V; PAP-14; PAP-19; PC; Piston corer; PLDS-001G; PLDS-1; Pleiades; PROA; PROA-011P; PROA-079PG; PROA-083PG; PROA-084PG; PROA-085PG-1; PROA-086P; PROA-086PG; PROA-087PG; PROA-088PG; PROA-089PG; PROA-103PG; PROA-118G; PROA-122G; PROA-124G1; PROA-146G; PROA-147G; PROA-149G; PROA-151G; PROA-155G; PROA-156G; PROA-160G; RC0-113; RC0-117; RC0-121; RC08; RC08-102; RC08-103; RC08-145; RC08-16; RC08-18; RC08-22; RC08-23; RC08-27; RC08-28; RC08-39; RC08-40; RC08-41; RC08-46; RC08-50; RC08-53; RC08-60; RC08-61; RC08-62; RC08-63; RC08-94; RC09; RC09-124; RC09-126; RC09-139; RC09-14; RC09-143; RC09-150; RC09-155; RC09-160; RC09-161; RC09-162; RC09-163; RC09-212; RC09-222; RC09-225; RC09-49; RC09-61; RC09-67; RC10; RC10-114; RC10-139; RC10-140; RC10-141; RC10-142; RC10-143; RC10-146; RC10-161; RC10-162; RC10-172; RC10-175; RC10-176; RC10-22; RC10-49; RC10-50; RC10-52; RC10-53; RC10-54; RC10-56; RC10-62; RC10-64; RC10-97; RC11; RC11-10; RC11-103; RC11-106; RC11-11; RC11-111; RC11-116; RC11-117; RC1112; RC11-12; RC11-120; RC11-121; RC11-122; RC11-128; RC11-13; RC11-134; RC11-138; RC11-139; RC11-14; RC11-141; RC11-145; RC11-146; RC11-147; RC11-15; RC11-16; RC11-160; RC11-162; RC11-21; RC11-210; RC11-213; RC11-22; RC11-220; RC11-230; RC11-238; RC11-255; RC11-26; RC11-260; RC11-35; RC11-37; RC11-78; RC11-79; RC11-80; RC11-86; RC11-9; RC12; RC12-107; RC12-121; RC12-138; RC12-139; RC12-143; RC12-146; RC12-233; RC12-234; RC12-235; RC12-241; RC12-266; RC12-268; RC12-291; RC12-292; RC12-293; RC12-294; RC12-297; RC12-298; RC12-299; RC12-300; RC12-303; RC12-304; RC12-328; RC12-33; RC12-330; RC12-331; RC12-332; RC12-333; RC12-335; RC12-339; RC12-340; RC12-341; RC12-342; RC12-343; RC12-344; RC12-347; RC12-350; RC12-361; RC12-365; RC12-366; RC12-417; RC12-418; RC12-45; RC13; RC13-108; RC13-110; RC13-113; RC13-115; RC13-122; RC13-136; RC13-138; RC13-140; RC13-151; RC13-152; RC13-153; RC13-158; RC13-159; RC13-17; RC13-184; RC13-189; RC13-190; RC13-195; RC13-196; RC13-197; RC13-199; RC13-205; RC13-209; RC13-210; RC13-227; RC13-229; RC13-242; RC13-253; RC13-275; RC13-81; RC14; RC14-29; RC14-31; RC14-31TW; RC14-33; RC14-33TW; RC14-34; RC14-34TW; RC14-35; RC14-35TW; RC14-36; RC14-37; RC14-37TW; RC14-39; RC14-39TW; RC14-44; RC14-44TW; RC14-7; RC14-79TW; RC14-9; RC14-92; RC14-93; RC14-94; RC14-97; RC15; RC15-115; RC15-143; RC15-145; RC15-151; RC15-91; RC15-93; RC15-94; RC17; RC17-101; RC17-102; RC17-103; RC17-104; RC17-105; RC17-110; RC17-113; RC17-114; RC17-116; RC17-121; RC17-123; RC17-125; RC17-126; RC17-127; RC17-132; RC17-142; RC17-144; RC17-145; RC17-176; RC17-177; RC17-178; RC17-69; RC17-73; RC17-98; RC18; RC18-47; RC24; RC24-1; RC24-16; RC24-27; RC24-7; RE009-7; RE010-002; RE5-034; RE5-036; RE5-054; RE5-057; RIS-101; RIS-103; RIS-104; RIS-105; RIS-106; RIS-108; RIS-121V; RIS-14; RIS-15G; RIS-17; RIS-17G; RIS-21G; RIS-24; RIS-29G; RIS-32; RIS-33; RIS-34; RIS-35; RIS-51G; Robert Conrad; SCAN; SCAN-015P; SCAN-022PG; SCAN-023PG; SCAN-025G; SCAN-026G; SCAN-027G; SCAN-028G; SCAN-059P; SCAN-065G; SCAN-066G; SCAN-067G; SCAN-068G; SCAN-082P; SCAN-083P; SCAN-084P; SCAN-084PG; SCAN-085P; SCAN-086P; SCAN-087P; SCAN-088P; SCAN-088PG; SCAN-091G; SCAN-094P; SCAN-095G; SCAN-096P; SDS-93P; SDS-95P; SDS-97P; SDS-98P; SOB; SOB-009G; SOB-026GA; SOB-031GA; South Atlantic Ocean; Southern Borderland; South Pacific Ocean; SP008-004; SP009-003; SP010-005; Spencer F. Baird; Stranger; STYX_III; STYX_IX; STYX03AZ; STYX09AZ; STYXIII-75G; STYXIII-77P; STYXIII-80FF-34; STYXIII-81FF-41; STYXIII-81FF-44;
    Type: Dataset
    Format: application/zip, 14 datasets
    Location Call Number Expected Availability
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  • 3
    Publication Date: 2024-06-13
    Keywords: 0050PG; 0055PG; 0058PG; 0066PG; 0071PG; 0075PG; 0082PG; 0091PG; A150/180; A153-154; A156-007; A156-7TW; A157-3; A164-13; A164-15; A164-16; A164-17; A164-23; A167-12; A167-13; A167-18TW; A167-1TW; A179-13; A179-15; A179-20; A179-24; A179-6; A179-7; A180-13; A180-15; A180-20; A180-39; A180-69; A180-70; A180-72; A180-76; A180-78; A181/185; A181-7; A181-9; Agassiz; also published as VM28-122; AR1-119; AR1-144; AR2-113; AR2-117; AR2-128; AR2-136; AR3-25; AR3-45; AR4-55; AR4-63; Arabian Sea; Argo; ARIES; ARIES-046G; ARIES-049G; Aru Sea; AT_II-15_547; AT_II-15_552; AT_II-15_558; AT_II-15_559; AT_II-15_572; AT_II-15_585; AT_II-15_586; AT_II-15_591; AT_II-15_592; AT_II-15_597A; AT_II-15_597B; AT_II-15_600; AT_II-15_602; AT_II-15_602-10a; AT_II-15_612; AT_II-15_614; AT_II-15_618; AT_II-93-12-38-21; AT_II-93-12-43-26; AT_II-93-12-45-27; AT_II-93-12-46-28; AT_II-93-14-55-35; AT_USA; Atlantic; Atlantic Ocean; Atlantis (1931); Bay of Bengal; BC; Berggrenia pumilio; Box corer; Candeina nitida; CH09908-0064PC; CH09908-0065PC; CH09908-0066PC; CH09908-0068PC; CH09908-0070PC; CHN99-064; CHN99-065; CHN99-066; CHN99-068; CHN99-070; CHUB4; CHUBIV; CIRCE; CIRCE-18P; CIRCE-19PG; CIRCE-21; CIRCE-239; CIRCE-24; CIRCE-26; CIRCE-27; CIRCE-32; CIRCE-36; CIRCE-38; CIRCE-42; CIRCE-44; Counting, foraminifera, benthic; Counting, foraminifera, planktic; Counting, pteropods; Counting, radiolarians; D17-05; D17-06; D17-14; D17-15; D17-17; D17-23; D17-24; D17-25; D17-27; D17-28; D17-29; D17-30; D17-32; D17-33; D17-34; D17-35; D17-36; D17-39; D17-41; DEPTH, sediment/rock; DODO; DODO-117P; DODO-119PG; DODO-121PGA; DODO-126P; DODO-130G; DODO-144G; DODO-173G; DODO-191; DODO-192G; DODO-193; DODO-194; DODO-197; DODO-200V; DODO-201G; DODO-220V; DW010; DW013; DW017; DW026; DW034; DW035; DW036; DW048; DW050; DW058; DW074; DW079; DW082; DW089; DW123; DW130; DW134; DW137; DW147B; DWD-10HH; DWD-123; DWD-130; DWD-134; DWD-137G; DWD-13HH; DWD-147B; DWD-149; DWD-17; DWD-26; DWD-34HG; DWD-35HH; DWD-36HG; DWD-48HG; DWD-50HG; DWD-58HH; DWD-74; DWD-79; DWD-82; DWD-89HH-2; Eastern Equatorial Pacific; Elevation of event; ELT11.010; ELT11.064; ELT11.089; ELT-1110; ELT-1164; ELT-1189; ELT12.027; ELT12.046; ELT1227; ELT1246; ELT49; ELT49.022-PC; ELT49.023-PC; ELT49.024-PC; ELT49.025-PC; Eltanin; ERDC; ERDC-077BX; ERDC-079BX; ERDC-092BX; ERDC-102BX; ERDC-108BX; ERDC-112BX; ERDC-120BX; ERDC-123BX; ERDC-125BX; ERDC-128BX; ERDC-129BX; ERDC-131BX; ERDC-135BX; ERDC-136BX; ERDC-139BX; ERDC-141BX; Event label; FFC; Foraminifera, benthic; Foraminifera, planktic; Foraminifera, planktic, fragments; Free fall corer; GC; GGC; Giant gravity corer; Globigerina bulloides; Globigerina calida; Globigerina falconensis; Globigerina quinqueloba; Globigerina rubescens; Globigerinella adamsi; Globigerinella aequilateralis; Globigerinella digitata; Globigerinita glutinata; Globigerinita iota; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber; Globigerinoides ruber pink; Globigerinoides ruber white; Globigerinoides sacculifer; Globigerinoides sacculifer sac; Globigerinoides sacculifer wo sac; Globigerinoides tenellus; Globoquadrina conglomerata; Globoquadrina hexagona; Globorotalia anfracta; Globorotalia crassaformis; Globorotalia crassula; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia menardii flexuosa; Globorotalia scitula; Globorotalia theyeri; Globorotalia truncatulinoides dextral; Globorotalia truncatulinoides sinistral; Globorotalia tumida; Grab; GRAB; Gravity corer; Horizon; Indian Ocean; INMD; INMD-040BX; INMD-042BX; INMD-048BX; INMD-050BX; INMD-051BX; INMD-055BX; INMD-056BX; INMD-064BX; INMD-065BX; INMD-067BX; INMD-068BX; INMD-069BX; INMD-070BX; INMD-072BX; INMD-073BX; INMD-074BX; INMD-094BX; INMD-097BX; INMD-098BX; INMD-100BX; KM1-41; KN11002; KN11002-0096PG; KN11002-0099PG; Knorr; KNR110-01; KNR110-02; KNR110-05; KNR110-06; KNR110-07; KNR110-08; KNR110-09; KNR110-10; KNR110-11; KNR110-12; KNR110-14; KNR110-15; KNR110-16; KNR110-17; KNR110-18; KNR110-20; KNR110-21; KNR110-23; KNR110-24; KNR110-26; KNR110-27; KNR110-28; KNR110-30; KNR110-32; KNR110-33; KNR110-40; KNR110-43; KNR110-45; KNR110-46; KNR110-50; KNR110-51; KNR110-53; KNR110-54; KNR110-55; KNR110-56; KNR110-57; KNR110-58; KNR110-61; KNR110-62; KNR110-63; KNR110-64; KNR110-66; KNR110-71; KNR110-72; KNR110-73; KNR110-75; KNR110-77; KNR110-81; KNR110-82; KNR110-89; KNR110-91; KNR110-93; KNR110-95; KNR110-96; KNR110-99; Lakshadweep Sea; Latitude of event; Longitude of event; LSDA; LSDA-103V; LSDA-106G; LSDA-107GA; LSDA-113G; LSDA-117G; LSDA-128G; LSDA-129G; LSDA-131G; LSDA-133GA; LSDA-136G; LSDH; LSDH-001VB; LSDH-009TW; LSDH-025V; LSDH-033G; LSDH-038G; LSDH-058G; LSDH-062G; LSDH-064PG; LSDH-065V; LSDH-066PG; LSDH-067P; LSDH-068PG; LSDH-076PG; LSDH-077G; LSDH-078PG; LSDH-079PG; LUSIAD-A; LUSIAD-H; Marion Dufresne (1972); MD10; MD13; MD76-132; MD76-135; MD77-168; MD77-169; MD77-170; MD77-171; MD77-174; MD77-176; MD77-179; MD77-181; MD77-185; MD77-191; MD77-196; MD77-199; MD77-204; Melville; MOANAWAVE04; MOANAWAVE05; MOANAWAVE06; MOANAWAVE07; MOANAWAVE08; MOANAWAVE09; MOANAWAVE10; MOANAWAVE11; MOANAWAVE12; MOANAWAVE13; MOANAWAVE14; MOANAWAVE15; MOANAWAVE18; MOANAWAVE19; MOANAWAVE20; MOANAWAVE23; MOANAWAVE24; MOANAWAVE25; MOANAWAVE26; MOANAWAVE29; MOANAWAVE31; MOANAWAVE32; MOANAWAVE35; MOANAWAVE36; MOANAWAVE40; MOANAWAVE42; MOANAWAVE44; MONAWAVE07; MONAWAVE14; MONAWAVE15; MONAWAVE18; MONAWAVE19; MONAWAVE20; MONAWAVE23; MONAWAVE24; MONAWAVE25; MONAWAVE26; MONAWAVE29; MONAWAVE31; MONAWAVE32; MONAWAVE35; MONAWAVE36; MONAWAVE40; MONAWAVE42; MONAWAVE44; MONS01AR-MONS08AR; MONSOON; MP10-1; MP-10-1; MP33; MP-33; MSN-104P; MSN-126G; MSN-128G; MSN-135PG; MSN-136G; MSN-137P; MSN-138P; MSN-45G; MSN-55G; MSN-56P; MSN-63G; MSN-90G; MSN-92PG; MSN-93G; MUC; MUK-19BP; MUK-20BP; MUKBP19; MUKBP20; MultiCorer; NEL9; NEL-H5; Neogloboquadrina dutertrei; Neogloboquadrina pachyderma dextral; Neogloboquadrina pachyderma sinistral; Orbulina universa; OSIRIS II; OSIRIS III; Pacific Ocean; PC; Piston corer; PROA; PROA-048G; PROA-057G; PROA-066G; PROA-067G; PROA-083PG; PROA-084PG; PROA-085PG-1; PROA-087PG; PROA-088PG; PROA-118G; PROA-122G; PROA-124G1; PROA-147G; PROA-149G; PROA-151G; PROA-155G; PROA-156G; Pteropoda sp.; Pulleniatina obliquiloculata; Radiolarians; RC07; RC0701-RC0708; RC07-21; RC08; RC08-106; RC08-16; RC08-18; RC08-22; RC08-23; RC08-27; RC08-28; RC08-39; RC08-40; RC08-41; RC08-46; RC08-50; RC08-51; RC08-52; RC08-53; RC08-60; RC08-61; RC08-62; RC08-63; RC08-64; RC08-91; RC08-93; RC09; RC09-019; RC09-104; RC09-121; RC09-124; RC09-125; RC09-126; RC09-133; RC09-134; RC09-139; RC09-140; RC09-143; RC09-144; RC09-147; RC09-150; RC09-155; RC09-161; RC09-162; RC09-163; RC09-17; RC09-18; RC09-19; RC09-212; RC09-22; RC09-222; RC09-225; RC09-24; RC09-25; RC09-28; RC09-29; RC09-30; RC09-32; RC09-61; RC09-7; RC09-77; RC10; RC10-131; RC10-135; RC10-139; RC10-140; RC10-141; RC10-142; RC10-143; RC10-144; RC10-146; RC10-149; RC10-161; RC10-162; RC10-172; RC10-175; RC10-22; RC10-250; RC10-256; RC10-262; RC10-263; RC10-264; RC10-265; RC10-266; RC10-267; RC10-268; RC10-269; RC10-270; RC10-49; RC10-53; RC10-54; RC11; RC11-10; RC11-103; RC11-106; RC11-11; RC11-111; RC11-116; RC11-117; RC11-118; RC1112; RC11-12; RC11-120; RC11-121; RC11-122; RC11-123; RC11-124; RC11-125; RC11-126; RC11-128; RC11-13; RC11-134; RC11-138; RC11-14; RC11-141; RC11-145; RC11-146; RC11-15; RC11-150; RC11-156; RC11-158; RC11-16; RC11-160; RC11-162; RC11-187; RC11-21; RC11-211; RC11-217; RC11-220; RC11-227; RC11-22TW; RC11-230; RC11-232; RC11-237; RC11-255; RC11-26; RC11-260; RC11-35; RC11-37; RC11-78; RC11-79; RC11-80; RC11-82; RC11-84; RC11-86; RC11-9; RC11-99; RC12; RC12-10; RC12-107; RC12-109; RC12-113; RC12-12; RC12-121; RC12-122; RC12-123; RC12-124; RC12-138; RC12-139; RC12-143; RC12-146; RC12-173; RC12-18; RC12-19; RC12-210; RC12-233; RC12-235; RC12-241; RC12-266; RC12-268; RC12-291; RC12-292; RC12-293; RC12-294; RC12-297; RC12-298; RC12-299; RC12-300; RC12-303; RC12-
    Type: Dataset
    Format: text/tab-separated-values, 63125 data points
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  • 4
    Publication Date: 2024-06-13
    Keywords: A150/180; A152-84; A153-154; A15-547TW; A15-552TW; A15-558P; A15-558TW; A15-559FF; A15-572FF; A15-585GC; A15-586TW; A15-590GC; A15-591GC; A15-592FF; A15-596FF; A15-597A; A15-597B; A15-600FF; A15-602FF; A15-612GC; A15-614TW; A15-618GC; A157-3; A164-13; A164-15; A164-16; A164-17; A164-23; A167-12; A167-13; A167-18TW; A167-1TW; A179-13; A179-15; A179-20; A179-24; A179-6; A179-7; A180-13; A180-15; A180-20; A180-39; A180-69; A180-70; A180-72; A180-76; A180-78; A181/185; A181-7; A181-9; A260210A; Agassiz; AH-1; AH-4; AH-5; AH-7; AH-8; All5402P; All5423P; All5424P; All542P; AMPH-005G; AMPH-007PG; AMPH-011P; AMPH-012G; AMPH-013G; AMPH-016G; AMPH-017G; AMPH-019G; AMPH01AR; AMPH-021G; AMPH-022G; AMPH-023G; AMPH-024G; AMPH-107G; AMPH-130G; AMPH-131G; AMPH-132G; AMPH-133G; AMPH-134G; AMPH-135GV; AMPH-137GV; AMPH-138GV; AMPH-139GV; AMPHITRITE; AR1-117; AR1-119; AR1-144; AR2-113; AR2-117; AR2-128; AR2-136; AR3-25; AR3-38; AR3-45; AR4-52; AR4-55; AR4-56; AR4-63; Argo; ARIES; ARIES-046G; ARIES-049G; Atlantic; Atlantic Ocean; Bay of Bengal; BC; Box corer; BRA-262D; BRA-91AD; BRA-91D; BRA-96D; CAP-1BG; CAP-1HG; CAP-2-1BG; CAP-32HG; CAP-3HG; CAP-42-1; CAP-44BG; CAP-48-2; CAP-48HG; CAP-49BG; CAP-4BG; CAP-50HG; CAP-5HG; CAP-6HG; CAP-8-2; CH10098P; CH10-98; CHA-164B; CHA-296; CHA-300; CHA-302; Challenger1872; CHM-5; CHU-23; CHU-23G; CHU-24; CHU-26; CHU-30; CHU-X1; CIRCE; CIRCE-21; CIRCE-239; CIRCE-24; CIRCE-26; CIRCE-27; CIRCE-32; CIRCE-36; CIRCE-38; CIRCE-42; CIRCE-44; Counting; CUS-3G; DEPTH, sediment/rock; DIS-385D; DIS-386D; DODO; DODO-117PG; DODO-119PG; DODO-126PG; DODO-144G; DODO-173G; DODO-191; DODO-192G; DODO-193; DODO-195G; DODO-197; DODO-200V; DODO-201G; DODO-202V; DODO-204; DODO-220V; DW010; DW013; DW034; DW035; DW036; DW048; DW050; DW058; DW137; DW147B; DWD-100B; DWD-108B; DWD-10BG; DWD-10HH; DWD-11BG; DWD-12BG; DWD-12HH; DWD-137G; DWD-13BG; DWD-13HH; DWD-143; DWD-147B; DWD-149; DWD-15BG; DWD-16BG; DWD-34HG; DWD-35HH; DWD-36HG; DWD-46BG; DWD-47B; DWD-47BG; DWD-48BG; DWD-48HG; DWD-49BG; DWD-50HG; DWD-54HG; DWD-56BG; DWD-56HG; DWD-58BG; DWD-58HH; DWD-59BG; DWD-60BG; DWD-61BG; DWD-62BG; DWD-63BG; DWD-64BG; DWD-68BG; DWD-70BG; DWD-71BG; DWD-73BG; DWD-74BG; DWD-75BG; DWD-76BG; DWD-77BG; DWD-78BG; DWD-79BG; DWD-83BG; DWD-89HH; DWD-93BG; Eastern Equatorial Pacific; Elevation of event; ELT11.010; ELT11.064; ELT11.089; ELT-1101; ELT-1110; ELT-1164; ELT-1189; ELT-1246; ELT-1271; ELT44; ELT44.027-PC; ELT45; ELT45.029-PC; ELT45.070-PC; ELT45.073-PC; ELT45.077-PC; ELT45.081-PC; ELT49; ELT49.022-PC; ELT49.023-PC; ELT49.024-PC; ELT49.025-PC; Eltanin; ELT-C100; EQA-27; Event label; FANHMS2G; FANHMS4G; FFC; Free fall corer; GC; Globigerina bulloides; Globigerina calida; Globigerina digitata; Globigerina falconensis; Globigerina quinqueloba; Globigerina rubescens; Globigerinella aequilateralis; Globigerinita glutinata; Globigerinoides conglobatus; Globigerinoides ruber; Globigerinoides sacculifer; Globigerinoides tenellus; Globoquadrina conglomerata; Globoquadrina hexagona; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia scitula; Globorotalia truncatulinoides dextral; Globorotalia truncatulinoides sinistral; Grab; GRAB; Gravity corer; H.M.S. Challenger (1872); Horizon; Indian Ocean; JAPANYON; JSB-5P; JSB-6P; JYN2; JYN2-007G; JYN5-019G; KM1-41; KNR073-04-003; KNR733P; Knr735P; KNR735P; Latitude of event; LFGS; LFGS-36G; LFGS-38G; LFGS-45G; Longitude of event; LSDA; LSDA-103V; LSDA-106G; LSDA-107GA; LSDA-113G; LSDA-117G; LSDA-128G; LSDA-136G; LSDA-SCS; LSDA-SCS-002G; LSDA-SCS-003G; LSDA-SCS-006G; LSDA-SCS-008G; LSDA-SCS-009G; LSDA-SCS-013D; LSDH; LSDH-009G; LSDH-025V; LSDH-038V; LSDH-077G; LSDH-078PG; LSDH-079P; LSDH-079PG; LSDH-080G; LSDH-093PG; LSDH-104G; LUSIAD-A; LUSIAD-H; M70-68; M70-PC-49; M70-PC-61; Marion Dufresne (1972); MD10; MD13; MD76-132; MD76-135; MD77-168; MD77-169; MD77-170; MD77-171; MD77-174; MD77-176; MD77-179; MD77-181; MD77-185; MD77-191; MD77-196; MD77-199; MD77-202; MD77-203; MD77-204; MDPC03HO-043K; Melville; MEN; MEN-08G; MEN-11G; MEN-12G; MIDPAC; MONS01AR-MONS08AR; MONSOON; MPC-0-1; MPC-0-2; MPC-10-1; MPC-1-1; MPC-11-1; MPC-43K; MPC-45; MSN-100G; MSN-103P; MSN-104P; MSN-109P; MSN-10G; MSN-135P; MSN-136G; MSN-137P; MSN-138P; MSN-141G; MSN-14G; MSN-45G; MSN-52G; MSN-55G; MSN-56PG; MSN-63G; MSN-90G; MSN-93G; mt1-gyre; MT1-gyre; mt1-mid; MT1-mid; mt1-nrsh; MT1-nrsh; MUK-19BP; MUK-20BP; MUK-27HG; NEL-394D; Neogloboquadrina dutertrei; Neogloboquadrina pachyderma dextral; Neogloboquadrina pachyderma sinistral; NZO-A106; NZO-A181; NZO-A315; Orbulina universa; OSIRIS II; OSIRIS III; Pacific Ocean; PAP-127V; PAP-14; PAP-19; PC; Piston corer; PLDS-001G; PLDS-1; Pleiades; PROA; PROA-011P; PROA-079PG; PROA-083PG; PROA-084PG; PROA-085PG-1; PROA-086P; PROA-086PG; PROA-087PG; PROA-088PG; PROA-089PG; PROA-103PG; PROA-118G; PROA-122G; PROA-124G1; PROA-146G; PROA-147G; PROA-149G; PROA-151G; PROA-155G; PROA-156G; PROA-160G; Pulleniatina obliquiloculata; RC0-113; RC0-117; RC0-121; RC08; RC08-102; RC08-103; RC08-16; RC08-18; RC08-22; RC08-23; RC08-27; RC08-28; RC08-39; RC08-40; RC08-41; RC08-46; RC08-50; RC08-53; RC08-60; RC08-61; RC08-62; RC08-63; RC09; RC09-139; RC09-14; RC09-143; RC09-155; RC09-160; RC09-161; RC09-162; RC09-163; RC09-212; RC09-222; RC09-225; RC09-61; RC09-67; RC10; RC10-139; RC10-140; RC10-141; RC10-142; RC10-143; RC10-146; RC10-161; RC10-162; RC10-172; RC10-175; RC10-176; RC10-22; RC10-49; RC10-52; RC10-53; RC10-54; RC10-56; RC10-62; RC10-64; RC11; RC11-10; RC11-103; RC11-106; RC11-11; RC11-111; RC11-116; RC11-117; RC1112; RC11-12; RC11-121; RC11-122; RC11-128; RC11-13; RC11-134; RC11-138; RC11-139; RC11-14; RC11-141; RC11-145; RC11-146; RC11-147; RC11-15; RC11-16; RC11-160; RC11-162; RC11-21; RC11-22; RC11-230; RC11-238; RC11-255; RC11-26; RC11-260; RC11-35; RC11-37; RC11-78; RC11-79; RC11-80; RC11-86; RC11-9; RC12; RC12-121; RC12-138; RC12-139; RC12-143; RC12-146; RC12-233; RC12-235; RC12-241; RC12-266; RC12-268; RC12-291; RC12-292; RC12-293; RC12-294; RC12-297; RC12-298; RC12-299; RC12-300; RC12-303; RC12-304; RC12-328; RC12-33; RC12-330; RC12-331; RC12-332; RC12-333; RC12-335; RC12-339; RC12-340; RC12-341; RC12-342; RC12-343; RC12-344; RC12-347; RC12-350; RC12-365; RC12-366; RC12-417; RC12-418; RC12-45; RC13; RC13-108; RC13-110; RC13-113; RC13-115; RC13-122; RC13-136; RC13-138; RC13-140; RC13-158; RC13-17; RC13-189; RC13-190; RC13-195; RC13-196; RC13-197; RC13-199; RC13-209; RC13-210; RC13-229; RC13-242; RC13-253; RC13-275; RC14; RC14-29; RC14-31TW; RC14-33TW; RC14-34TW; RC14-35; RC14-35TW; RC14-36; RC14-37TW; RC14-39; RC14-39TW; RC14-44TW; RC14-79TW; RC14-92; RC14-93; RC14-94; RC14-97; RC15; RC15-115; RC15-143; RC15-145; RC15-151; RC15-91; RC15-93; RC15-94; RC17; RC17-101; RC17-102; RC17-103; RC17-104; RC17-105; RC17-110; RC17-113; RC17-114; RC17-116; RC17-121; RC17-123; RC17-125; RC17-126; RC17-127; RC17-132; RC17-142; RC17-144; RC17-145; RC17-176; RC17-177; RC17-178; RC17-69; RC18; RC18-47; RE009-7; RIS-101; RIS-103; RIS-104; RIS-105; RIS-106; RIS-108; RIS-121V; RIS-14; RIS-15G; RIS-17; RIS-17G; RIS-21G; RIS-24; RIS-29G; RIS-32; RIS-33; RIS-34; RIS-35; RIS-51G; Robert Conrad; SCAN; SCAN-015P; SCAN-022PG; SCAN-023PG; SCAN-025G; SCAN-026G; SCAN-027G; SCAN-028G; SCAN-059P; SCAN-065G; SCAN-066G; SCAN-067G; SCAN-068G; SCAN-082P; SCAN-083P; SCAN-084P; SCAN-085P; SCAN-086P; SCAN-087P; SCAN-088P; SCAN-091G; SCAN-094P; SCAN-095G; SCAN-096P; SDS-93P; SDS-95P; SDS-97P; SDS-98P; Sea surface temperature, annual mean; see comment; SOB; SOB-009G; SOB-026GA; SOB-031GA; South Atlantic Ocean; Southern Borderland; South Pacific Ocean; SP009-003; SP010-005; Spencer F. Baird; Sphaeroidinella dehiscens; Stranger; STYX_III; STYX_IX; STYX03AZ; STYX09AZ; STYXIII-75G; STYXIII-77P; STYXIII-80FF-34; STYXIII-81FF-41; STYXIII-81FF-44; STYXIII-84G; STYXIX-4CBX; T29-17P; T29-19P; T29-20P; T29-22P; T29-4P; T29-5P; T39-15P; T39-17P; T39-18P; T39-22P; T39-23P; T39-24P; T39-25P; TC; TET_38G; TET_41G; TET_43G; TET_44G; TET-4G; TET-5G; TET-6G; TET-
    Type: Dataset
    Format: text/tab-separated-values, 30321 data points
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  • 5
    Publication Date: 2024-06-08
    Keywords: Age; AGE; DEPTH, ice/snow; DRILL; Drilling/drill rig; GISP; GISP2; Greenland Ice Core Projects; GRIP/GISP/NGRIP; Sampling/drilling ice; δ Deuterium
    Type: Dataset
    Format: text/tab-separated-values, 1372 data points
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  • 6
    Publication Date: 2024-06-08
    Keywords: AGE; DEPTH, ice/snow; DRILL; Drilling/drill rig; GISP; GISP2-B; Greenland Ice Core Projects; GRIP/GISP/NGRIP; Sampling/drilling ice; δ Deuterium
    Type: Dataset
    Format: text/tab-separated-values, 6048 data points
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  • 7
    Publication Date: 2024-06-08
    Keywords: 162-983A; Abundance estimate; Actinocyclus curvatulus; Actinocyclus oculatus; Azpeitia nodulifer; Bacteriastrum hyalinum; Bacterosira fragilis; Chaetoceros spores; Coscinodiscus asteromphalus; Coscinodiscus marginatus; Coscinodiscus radiatus; Diatom abundance; Diatom preservation; Diatom zone; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Hemidiscus cuneiformis; Joides Resolution; Leg162; Neodenticula seminae; Nitzschia bicapitata; Nitzschia fossilis; Nitzschia marina; Nitzschia panduriformis; Nitzschia reinholdii; Ocean Drilling Program; ODP; Proboscia alata; Proboscia curvirostris; Pseudoeunotia doliolus; Rhizosolenia bergonii; Rhizosolenia hebetata forma hebetata; Rhizosolenia hebetata forma semispina; Rhizosolenia setigera; Rhizosolenia styliformis; Roperia tesselata; Sample code/label; South Atlantic Ocean; Stephanopyxis turris; Thalassionema nitzschioides; Thalassiosira antiqua; Thalassiosira eccentrica; Thalassiosira gravida spore; Thalassiosira gravida vegetative; Thalassiosira jouseae; Thalassiosira lineata; Thalassiosira nidulus; Thalassiosira nordenskioeldii; Thalassiosira oestrupii; Thalassiosira trifulta; Thalassiothrix longissima
    Type: Dataset
    Format: text/tab-separated-values, 11916 data points
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  • 8
    Publication Date: 2024-06-08
    Keywords: 162-983A; Age, maximum/old; Age, minimum/young; Age model; Age model, biostratigraphy and magnetostratigraphy; Ageprofile Datum Description; Depth, bottom/max; Depth, composite; DEPTH, sediment/rock; Depth, top/min; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Joides Resolution; Leg162; Ocean Drilling Program; ODP; Sample code/label; Sample code/label 2; South Atlantic Ocean
    Type: Dataset
    Format: text/tab-separated-values, 80 data points
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  • 9
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Koç, Nalân; Hodell, David A; Kleiven, Helga F; Labeyrie, Laurent D (1999): High-resolution Pleistocene diatom biostratigraphy of Site 983 and correlations with isotope stratigraphy. In: Raymo, ME; Jansen, E; Blum, P; Herbert, TD (eds.) Proceedings of the Ocean Drilling Program, Scientific Results, College Station, TX (Ocean Drilling Program), 162, 1-12, https://doi.org/10.2973/odp.proc.sr.162.035.1999
    Publication Date: 2024-06-08
    Description: High accumulation rates and the presence of well-preserved, abundant diatoms in Site 983 sediments from the Gardar Drift gave us the opportunity to refine the Pleistocene diatom biostratigraphic resolution of the high-latitude North Atlantic. Eight Pleistocene diatom datum events are identified and, for the first time, tied directly to the oxygen isotope record and paleomagnetic stratigraphy of Site 983. These datum events are (1) the last occurrence (LO) of Proboscia curvirostris at 0.3 Ma, (2) the LO of Thalassiosira jouseae at 0.3 Ma, (3) the LO of Nitzschia reinholdii at 0.6 Ma, (4) the LO of Nitzschia fossilis at 0.68 Ma, (5) the LO of Nitzschia seminae at 0.84 Ma, (6) the first occurrence (FO) of N. seminae at 1.25 Ma, (7) the FO of Proboscia curvirostris at 1.53 Ma, and (8) the FO of Pseudoeunotia doliolus at 1.89 Ma. Most of these datums are found to be synchronous between the middle and high latitudes of the North Atlantic and the North Pacific. On the basis of these datums, four high-latitude North Atlantic diatom zones are proposed for the Pleistocene. The record of diatom abundance and preservation at Site 983 gives evidence for the influence of fluctuating Pleistocene climatic conditions on diatom productivity in the high-latitude North Atlantic.
    Keywords: 162-983A; DRILL; Drilling/drill rig; Joides Resolution; Leg162; Ocean Drilling Program; ODP; South Atlantic Ocean
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 10
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Martin, Ellen E; Shackleton, Nicholas J; Zachos, James C; Flower, Benjamin P (1999): Orbitally Tuned Sr Isotope Chemostratigraphy for the Late Middle and Late Miocene. Paleoceanography, 14(1), 74-83, https://doi.org/10.1029/1998PA900008
    Publication Date: 2024-06-08
    Description: We present a Sr chemostratigraphic reference section for the late middle to late Miocene (14-5 Ma) from Ocean Drilling Program site 926 on the Ceara Rise. This site combines a precise, orbitally tuned timescale with a high sedimentation rate (15 m/m.y.), continuous deposition, and excellent biostratigraphic control. The Sr isotope curve is based on measurements of cleaned, planktonic foraminifera at 100-200 kyr sample intervals and it illustrates periods of rapid change in 87Sr/86Sr alternating with periods of little change. Chemostratigraphically-defined ages for these intervals can be determined within +/-0.8 m.y. and +/-1.6 m.y. respectively. There is excellent correlation with the published curve for site 588 [Hodell and Woodruff, 1994]; however the curve for site 747 [Oslick et al., 1994] exhibits less structure, which may be due to small errors in age estimates related to slow sedimentation rates, high-latitude fauna and an interval of complicated magnetics. Late Miocene data compare favorably with data from site 758 [Farrell et al., 1995].
    Keywords: 154-926; Age, calculated calendar years; Age model; COMPCORE; Composite Core; DEPTH, sediment/rock; DSDP/ODP/IODP sample designation; Joides Resolution; Leg154; Ocean Drilling Program; ODP; Sample code/label; South Atlantic Ocean; Strontium-87/Strontium-86 ratio
    Type: Dataset
    Format: text/tab-separated-values, 460 data points
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  • 11
    Publication Date: 2024-06-07
    Keywords: Acartia sp., copepodites, biomass as carbon; Acartia sp., copepodites, production of carbon; Acartia sp., nauplii, biomass as carbon; Acartia sp., nauplii, production of carbon; Bornholm Basin, Baltic Sea; Calculated after Edmondson & Winberg (1971); Centropages hamatus, copepodites, biomass as carbon; Centropages hamatus, copepodites, production of carbon; Centropages hamatus, nauplii, biomass as carbon; Centropages hamatus, nauplii, production of carbon; DATE/TIME; DRIFT; Drifter; Event label; Nauplii and copepodita, biomass as carbon; Nauplii and copepodita, production of carbon; Oithona similis, copepodites, biomass as carbon; Oithona similis, copepodites, production of carbon; Oithona similis, nauplii, biomass as carbon; Oithona similis, nauplii, production of carbon; Pseudocalanus minutus, copepodites, biomass as carbon; Pseudocalanus minutus, copepodites, production of carbon; Pseudocalanus minutus, nauplii, production of carbon; Station_21; Station_D; Temora longicornis, copepodites, biomass as carbon; Temora longicornis, copepodites, production of carbon; Temora longicornis, nauplii, biomass as carbon; Temora longicornis, nauplii, production of carbon
    Type: Dataset
    Format: text/tab-separated-values, 63 data points
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  • 12
    Publication Date: 2024-06-06
    Keywords: BCR; Box corer (Reineck); Cadmium/Calcium ratio; Cibicides lobatulus, δ13C; Cibicidoides pseudoungerianus, δ13C; DEPTH, sediment/rock; Elevation of event; Event label; GEOMAR; Giant box corer; GKG; Helmholtz Centre for Ocean Research Kiel; Latitude of event; Longitude of event; MARFLUX; North Atlantic; off Portugal; POS200/10; POS200/10_1-1; POS200/10_3-1; POS200/10_6-1; Poseidon; SO10GK; SO75/3; SO75/3_13KG; SO75/3_25KG; SO75/3_30KG; SO7GK; SO83; SO83_10GK; SO83_1GK; SO83_4GK; SO83_7GK; Sonne; Uvigerina bifurcata, δ13C; Uvigerina mediterranea, δ13C; Uvigerina peregrina, δ13C
    Type: Dataset
    Format: text/tab-separated-values, 37 data points
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  • 13
    Publication Date: 2024-06-06
    Keywords: Atlantic Ocean; BCR; BOFS11896#1; BOFS11905#1; BOFS14K; BOFS17K; Box corer (Reineck); Cadmium/Calcium ratio; Calculated; CALYPSO; Calypso Corer; Cibicidoides spp., δ13C; Cibicidoides wuellerstorfi, δ13C; D184; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Difference; Discovery (1962); Distribution coefficient; Elevation of event; Event label; GEOMAR; Giant box corer; GIK16004-1; GIK23414-9; GKG; Helmholtz Centre for Ocean Research Kiel; IMAGES I; KAL; Kasten corer; KL; KOL; Latitude of event; Longitude of event; M17/2; M23414; M60; MARFLUX; Marion Dufresne (1995); MD101; MD952039; MD95-2039; Meteor (1964); Meteor (1986); North Atlantic; Northeast Atlantic; off Portugal; Phosphorus; Piston corer (BGR type); Piston corer (Kiel type); Porto Seamount; POS200/10; POS200/10_1-1; POS200/10_3-1; POS200/10_6-1; Poseidon; SO10GK; SO75/3; SO75/3_13KG; SO75/3_25KG; SO75/3_26KL; SO75/3_30KG; SO7GK; SO83; SO83_10GK; SO83_1GK; SO83_4GK; SO83_7GK; Sonne; SUBTROPEX 82; Uvigerina spp., δ13C
    Type: Dataset
    Format: text/tab-separated-values, 144 data points
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  • 14
    Publication Date: 2024-06-03
    Keywords: Candeina nitida; Counting 〉150 µm fraction; CTD/Rosette; CTD-RO; DEPTH, sediment/rock; Elevation of event; Event label; Giant box corer; GIK/IfG; GIK17920-1; GIK17921-1; GIK17928-1; GIK17929-1; GIK17930-1; GIK17931-1; GIK17932-1; GIK17933-2; GIK17934-1; GIK17935-1; GIK17937-1; GIK17938-1; GIK17939-1; GIK17940-1; GIK17941-1; GIK17942-1; GIK17943-1; GIK17944-1; GIK17945-1; GIK17948-1; GIK17949-1; GIK17950-1; GIK17951-1; GIK17952-2; GIK17954-1; GIK17955-1; GIK17957-1; GIK17958-1; GIK17959-1; GIK17960-1; GIK17961-1; GIK17962-1; GIK17963-2; GIK17964-1; GIK17965-1; GKG; Globigerina bulloides; Globigerina calida; Globigerina digitata; Globigerina falconensis; Globigerina rubescens; Globigerinella aequilateralis; Globigerinita glutinata; Globigerinoides conglobatus; Globigerinoides ruber; Globigerinoides ruber highspired; Globigerinoides tenellus; Globigerinoides trilobus sacculifer; Globigerinoides trilobus trilobus; Globorotalia cavernula; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia scitula; Globorotalia truncatulinoides dextral; Globorotalia truncatulinoides sinistral; Globorotalia tumida; Globorotaloides hexagonus; Hastigerina pelagica; Institute for Geosciences, Christian Albrechts University, Kiel; Latitude of event; Longitude of event; MONITOR MONSUN; Neogloboquadrina dutertrei; Neogloboquadrina pachyderma dextral; Neogloboquadrina pachyderma dextral and dutertrei integrade; Neogloboquadrina pachyderma sinistral; Orbulina universa; Pulleniatina obliquiloculata; SO95; Sonne; South China Sea; Sphaeroidinella dehiscens
    Type: Dataset
    Format: text/tab-separated-values, 1120 data points
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  • 15
    Publication Date: 2024-05-22
    Keywords: Cadmium; Cadmium, standard deviation; Calcium; Copper; CTD/Rosette; CTD-RO; DEPTH, water; Elevation of event; Event label; GEOMAR; GOFLO; Go-Flo bottles; Helmholtz Centre for Ocean Research Kiel; Iron; Latitude of event; Longitude of event; M39/1; M39/1_15-2; M39/1_21-2; M39/1_35-1; M39/1_65-1; M39/1_65-2; M39015; M39021; M39035-1; M39065-1; M39065-2; Meteor (1986); Phosphate; Zinc; Zinc, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 153 data points
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  • 16
    Publication Date: 2024-05-22
    Keywords: DEPTH, water; Elevation of event; Event label; GEOMAR; GOFLO; Go-Flo bottles; Helmholtz Centre for Ocean Research Kiel; Latitude of event; Longitude of event; M39/1; M39/1_01-2; M39/1_21-2; M39/1_35-2; M39001; M39021; M39035-2; Meteor (1986); Phosphate; δ13C
    Type: Dataset
    Format: text/tab-separated-values, 58 data points
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  • 17
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    PANGAEA
    In:  Supplement to: Burkhardt, Steffen; Riebesell, Ulf; Zondervan, Ingrid (1999): Stable carbon isotope fractionation by marine phytoplankton in response to daylength, growth rate, and CO2 availability. Marine Ecology Progress Series, 194, 31-41, https://doi.org/10.3354/meps184031
    Publication Date: 2024-05-22
    Description: Stable carbon isotope fractionation (%) of 7 marine phytoplankton species grown in different irradiance cycles was measured under nutrient-replete conditions at a high light intensity in batch cultures. Compared to experiments under continuous light, all species exhibited a significantly higher instantaneous growth rate (pi), defined as the rate of carbon fixation during the photo period, when cultivated at 12:12 h. 16:8 h, or 186 h light:dark (L/D) cycles. Isotopic fractionation by the diatoms Skeletonema costatum, Asterionella glacialis, Thalassiosira punctigera, and Coscinodiscus wailesii (Group I) was 4 to 6% lower in a 16:8 h L/D cycle than under continuous light, which we attribute to differences in pi. In contrast, E, in Phaeodactylum tn'cornutum, Thalassiosira weissflogii, and in the dinoflagellate Scrippsiella trochoidea (Group 11) was largely insensitive to day length-related differences in instantaneous growth rate. Since other studies have reported growth-rate dependent fractionation under N-limited conditions in P. tricornutum, pi-related effects on fractionation apparently depend on the factor controlling growth rate. We suggest that a general relationship between E, and pi/[C02,,,] may not exist. For 1 species of each group we tested the effect of variable CO2 concentration, [COz,,,], on isotopic fractionation. A decrease in [CO2,,,] from ca 26 to 3 pm01 kg-' caused a decrease in E, by less than 3%0 This indicates that variation in h in response to changes in day length has a similar or even greater effect on isotopic fractionation than [COz,,,] m some of the species tested. In both groups E, tended to be higher in smaller species at comparable growth rates. In 24 and 48 h time series the algal cells became progressively enriched in 13C during the day and the first hours of the dark period, followed by l3C depletion in the 2 h before beginning of the following Light period. The daily amplitude of the algal isotopic composition (613C), however, was 〈1.5%0, which demonstrates that diurnal variation in Fl3C is relatively small.
    Keywords: Alkalinity, Gran titration (Gran, 1950); Alkalinity, total; Aragonite saturation state; Asterionella glacialis; Bicarbonate ion; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Burkhardt_etal_99; Calcite saturation state; Calculated; Calculated after Freeman & Hayes (1992); Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chromista; Coulometric titration; EPOCA; EUR-OCEANS; European network of excellence for Ocean Ecosystems Analysis; European Project on Ocean Acidification; EXP; Experiment; Experimental treatment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Isotopic fractionation, during photosynthis; Laboratory experiment; Laboratory strains; Light; Light:Dark cycle; Mass spectrometer ANCA-SL 20-20 Europa Scientific; Mass spectrometer Finnigan Delta-S; Measured; Myzozoa; Nitrate; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Ochrophyta; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Phaedactylum tricornutum; Phosphate; Phytoplankton; Radiation, photosynthetically active; Salinity; Scrippsiella trochoidea; Silicate; Single species; Skeletonema costatum; Species; Temperature, water; Thalassiosira punctigera; Thalassiosira weissflogii; δ13C, carbon dioxide, aquatic; δ13C, particulate organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 480 data points
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  • 18
    Series available for loan
    Series available for loan
    Karlsruhe : Braun ; 1.1941(1940) - 59.1999(1997); 2000(1999) -
    Call number: S 91.0710 ; S 91.0710 (2020) ; S 91.0710 (2021) ; S 91.0710 (2022) ; S 91.0710 (2023)
    Type of Medium: Series available for loan
    ISSN: 0174-254X
    Location: Archive - must be ordered
    Location: Archive - must be ordered
    Location: Archive - must be ordered
    Location: Archive - must be ordered
    Branch Library: GFZ Library
    Branch Library: GFZ Library
    Branch Library: GFZ Library
    Branch Library: GFZ Library
    Branch Library: GFZ Library
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  • 19
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    PANGAEA
    In:  Supplement to: Fagel, Nathalie; Innocent, Christophe; Stevenson, Ross K; Hillaire-Marcel, Claude (1999): Deep circulation changes in the Labrador Sea since the Last Glacial Maximum: New constraints from Sm-Nd data on sediments. Paleoceanography, 14(6), 777-788, https://doi.org/10.1029/1999PA900041
    Publication Date: 2024-05-18
    Description: Sm-Nd concentrations and Nd isotopes were investigated in the fine fraction of two Labrador Sea cores to reconstruct the deep circulation patterns through changes in sedimentary supply since the last glacial stage. Three sources are involved: the North American Shield, Palaeozoic rocks from northeastern Greenland, and mid-Atlantic volcanism. The variable input of these sources provides constraints on the relative sedimentary supply, in conjunction with inception of deep currents. During the last glacial stage a persistent but sluggish current occurred inside the Labrador Basin. An increasing discharge of volcanic material driven by the North East Atlantic Deep Water is documented since 14.3 kyr, signaling the setup of a modern-like deep circulation pattern throughout the Labrador, Irminger, and Iceland basins. During the last deglacial stage the isotopic record was punctually influenced by erosion processes related mainly to ice-sheet instabilities, especially 11.4, 10.2, and 9.2 kyr ago.
    Keywords: Age, 14C milieu/reservoir corrected (-400 yr); Age, dated; Age, mineral; Calendar age; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; HU90-13-013; HUD90/13; Hudson; Marine isotopic stage; Neodymium; Neodymium-143/Neodymium-144 ratio; Neodymium-143/Neodymium-144 ratio, error; Northwest Atlantic; PC; Piston corer; Samarium; Samarium-147/Neodymium-144 ratio; ε-Neodymium
    Type: Dataset
    Format: text/tab-separated-values, 555 data points
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  • 20
    Publication Date: 2024-05-15
    Description: Transmission electron microscopy observations and rock magnetic measurements reveal that alteration of fine- and large-grained iron-titanium oxides can occur at different rates. Fine-grained titanomagnetite occurs as a crystallization product within interstitial glass that originated as an immiscible liquid within a fully differentiated melt; in several samples with ages to 32 Ma it displays very little or no oxidation (z = ca. 0). In contrast, samples with ages of 10 Ma or older are observed to also contain highly oxidized (z 〉/= 0.66) large-grained titanomaghemite. These large grains, having originated by direct crystallization from melt, are associated with pore space. Such pore space can serve as a conduit for fluids that promote alteration, whereas fine grains may have been "armored" against alteration by the glass matrix in which they are embedded. Apparently, alteration of oceanic crust is a heterogeneous process on a microscopic scale. The existence of pristine, fine-grained titanomagnetite in the interstitial glass of older ocean-floor basalts that have undergone significant alteration implies that such glassy material is capable of carrying original thermal remanent magnetization and may be suitable for paleointensity determinations.
    Keywords: 34-320B; 37-335; 73-519A; 82-556; Deep Sea Drilling Project; DRILL; Drilling/drill rig; DSDP; Glomar Challenger; Leg34; Leg37; Leg73; Leg82; North Atlantic; North Atlantic/RIDGE; South Atlantic/RIDGE; South Pacific/BASIN
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 21
    Publication Date: 2024-05-15
    Keywords: ADEPD; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; Calculated from mass/volume; DEPTH, sediment/rock; Elevation of event; Event label; Fram Basin; Giant box corer; GKG; Latitude of event; Longitude of event; Meiofauna, abundance of metazoa; Meiofauna, metazoa, biomass as carbon; Quaternary Environment of the Eurasian North; QUEEN; Svalbard Shelf; Y80_KG836; Y80_KG838; Y80_KG839; Y80_KG840; Y80_KG842; Y80_KG845; Y80_KG846; Y80_KG849; Ymer; YMER-80
    Type: Dataset
    Format: text/tab-separated-values, 15 data points
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  • 22
    Publication Date: 2024-05-15
    Keywords: Calcium carbonate; Calculated; Calculated from mass/volume; Carbon, organic, total; Density, dry bulk; DEPTH, sediment/rock; Element analyser CHN; Element analyser CHN, LECO; GeoB; GeoB1041-1; Geosciences, University of Bremen; Giant box corer; GKG; Globigerinoides ruber pink, δ13C; Globigerinoides ruber pink, δ18O; M6/6; Mass spectrometer Finnigan MAT 251; Meteor (1986); Sedimentation rate; Walvis Ridge
    Type: Dataset
    Format: text/tab-separated-values, 63 data points
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  • 23
    Publication Date: 2024-05-15
    Keywords: Calcium carbonate; Calculated; Calculated from mass/volume; Carbon, organic, total; Density, dry bulk; DEPTH, sediment/rock; Element analyser CHN; Element analyser CHN, LECO; Equatorial Atlantic; GeoB; GeoB1105-3; Geosciences, University of Bremen; Giant box corer; GKG; M9/4; Meteor (1986); Sedimentation rate
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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  • 24
    Publication Date: 2024-05-15
    Keywords: Calcium carbonate; Calculated; Calculated from mass/volume; Carbon, organic, total; Density, dry bulk; DEPTH, sediment/rock; Element analyser CHN; Element analyser CHN, LECO; Equatorial Atlantic; Event label; GeoB; GeoB1112-3; GeoB1112-4; Geosciences, University of Bremen; Giant box corer; GKG; Gravity corer (Kiel type); M9/4; Meteor (1986); Sedimentation rate; SL
    Type: Dataset
    Format: text/tab-separated-values, 450 data points
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  • 25
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    PANGAEA
    In:  Department of Geosciences, Bremen University
    Publication Date: 2024-05-15
    Keywords: Calcium carbonate; Calculated as weight ratio; Calculated from mass/volume; Carbon, organic, total; Carbon, total; Carbon/Nitrogen ratio; Density, dry bulk; Density, wet bulk; DEPTH, sediment/rock; Element analyser CHN; GeoB; GeoB3603-2; Geosciences, University of Bremen; Gravity corer (Kiel type); M34/1; Mass spectrometer Finnigan Delta-E; Meteor (1986); Nitrogen, total; Porosity; SL; Southern Cape Basin; Water content, wet mass; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 2260 data points
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  • 26
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    PANGAEA
    In:  Department of Geosciences, Bremen University
    Publication Date: 2024-05-15
    Keywords: Calcium carbonate; Calculated as weight ratio; Calculated from mass/volume; Carbon, organic, total; Carbon, total; Carbon/Nitrogen ratio; Density, dry bulk; Density, wet bulk; DEPTH, sediment/rock; Element analyser CHN; GeoB; GeoB3606-1; Geosciences, University of Bremen; Gravity corer (Kiel type); M34/1; Meteor (1986); Nitrogen, total; Northern Cape Basin; Porosity; SL; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 1926 data points
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  • 27
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    PANGAEA
    In:  Department of Geosciences, Bremen University
    Publication Date: 2024-05-15
    Keywords: Calcium carbonate; Calculated as weight ratio; Calculated from mass/volume; Carbon, organic, total; Carbon, total; Carbon/Nitrogen ratio; Density, dry bulk; Density, wet bulk; DEPTH, sediment/rock; Element analyser CHN; GeoB; GeoB3912-1; Geosciences, University of Bremen; Gravity corer (Kiel type); M34/4; Meteor (1986); Nitrogen, total; Northeast Brasilian Margin; Porosity; SL; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 1206 data points
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  • 28
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    PANGAEA
    In:  Department of Geosciences, Bremen University
    Publication Date: 2024-05-15
    Keywords: Amazon Fan; Calculated from mass/volume; Density, dry bulk; Density, wet bulk; DEPTH, sediment/rock; GeoB; GeoB1517-2; Geosciences, University of Bremen; Giant box corer; GKG; M16/2; Meteor (1986); Porosity; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 52 data points
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  • 29
    Publication Date: 2024-05-15
    Keywords: Baltic Sea System Study; BASYS; Calculated, dried, re-weight; Calculated from mass/volume; Density, dry bulk; DEPTH, sediment/rock; Gotland Basin, Baltic Sea; Gulf of Riga; IOW211660-1; KOT99/97/02.1; PC; Petr Kottsov; Piston corer; Water content, dry mass
    Type: Dataset
    Format: text/tab-separated-values, 536 data points
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  • 30
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    PANGAEA
    In:  Department of Geosciences, Bremen University
    Publication Date: 2024-05-15
    Keywords: Calcium carbonate; Calculated as weight ratio; Calculated from mass/volume; Carbon, organic, total; Carbon, total; Carbon/Nitrogen ratio; Density, dry bulk; Density, wet bulk; DEPTH, sediment/rock; Element analyser CHN-O Rapid, Heraeus; GeoB; GeoB1602-7; Geosciences, University of Bremen; M20/1; Mass spectrometer Finnigan Delta-E; Meteor (1986); MUC; MultiCorer; Nitrogen, total; off Cape Blanc; Opal, auto analysis (Müller & Schneider, 1993); Opal, biogenic silica; Porosity; Silicon Cycling in the World Ocean; SINOPS; Water content, wet mass; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 363 data points
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  • 31
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    PANGAEA
    Publication Date: 2024-05-15
    Keywords: Baltic Sea System Study; BASYS; Calculated; Calculated (Petelin, 1967 Grain size analysis of marine bottom sediments); Calculated (Trask, 1932, Houston, Gulf Pab. Co 67 pp); Calculated from mass/volume; Density, wet bulk; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Gotland Basin, Baltic Sea; Grain size class (Bezrukov & Lisitzin, 1960, Proceed. Inst. Oceanol., USSR, 32); Gravity corer (Kiel type); Gulf of Riga; Himmerfjarden; IOW211650-4; KOT99/97/02.1; Median, grain size; Petr Kottsov; Porosity; Size fraction 〈 0.001 mm, clay; Size fraction 0.005-0.001 mm; Size fraction 0.010-0.005 mm; Size fraction 0.050-0.010 mm; Size fraction 0.100-0.050 mm; SL; Sorting in phi; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 237 data points
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  • 32
    Publication Date: 2024-05-15
    Keywords: Age model; Age model, SPECMAP chronology, Imbrie et al. (1984); Aluminium; Barium; Brazil Basin; Calcium carbonate; Calculated from mass/volume; Carbon, organic, total; Cibicidoides wuellerstorfi, δ18O; Density, dry bulk; DEPTH, sediment/rock; Element analyser CHN; Element analyser CHN, LECO; GeoB; GeoB1505-2; Geosciences, University of Bremen; Gravity corer (Kiel type); HF/HNO3/H2O2 pressure digestion; Iron; M16/2; Magnesium; Manganese; Mass spectrometer Finnigan MAT 251; Meteor (1986); Potassium; SL; Titanium
    Type: Dataset
    Format: text/tab-separated-values, 1935 data points
    Location Call Number Expected Availability
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  • 33
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    PANGAEA
    Publication Date: 2024-05-15
    Keywords: Baltic Sea System Study; BASYS; Calculated; Calculated (Petelin, 1967 Grain size analysis of marine bottom sediments); Calculated (Trask, 1932, Houston, Gulf Pab. Co 67 pp); Calculated from mass/volume; Density, wet bulk; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Giant gravity corer AWI; Gotland Basin; Grain size class (Bezrukov & Lisitzin, 1960, Proceed. Inst. Oceanol., USSR, 32); GSL; Gulf of Riga; IOW009602-1GC-2; KOT00/96/02; Median, grain size; Petr Kottsov; Porosity; Size fraction 〈 0.001 mm, clay; Size fraction 〉 0.100 mm; Size fraction 0.005-0.001 mm; Size fraction 0.010-0.005 mm; Size fraction 0.050-0.010 mm; Size fraction 0.100-0.050 mm; Sorting in phi; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 247 data points
    Location Call Number Expected Availability
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  • 34
    Publication Date: 2024-05-15
    Keywords: ARK-VIII/3; AWI_Paleo; Bartington MS2B bulk sensor; Bartington MS2B bulk sensor 460 Hz; Calculated; Calculated from mass/volume; Density, wet bulk; DEPTH, sediment/rock; KAL; Kasten corer; Magnetic susceptibility, volume; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS19/245; PS19 ARCTIC91; PS2212-3; Quaternary Environment of the Eurasian North; QUEEN; Susceptibility, frequency dependence; Susceptibility, specific; Water content, wet mass; Yermak Plateau
    Type: Dataset
    Format: text/tab-separated-values, 260 data points
    Location Call Number Expected Availability
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  • 35
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    PANGAEA
    Publication Date: 2024-05-15
    Keywords: ARK-XIII/2; AWI_Paleo; Bartington MS2B bulk sensor; Bartington MS2B bulk sensor 460 Hz; Calculated from mass/volume; Density, wet bulk; DEPTH, sediment/rock; KAL; Kasten corer; Magnetic susceptibility, volume; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS2837-5; PS44; PS44/065; Quaternary Environment of the Eurasian North; QUEEN; Susceptibility, frequency dependence; Susceptibility, specific; Yermak Plateau
    Type: Dataset
    Format: text/tab-separated-values, 328 data points
    Location Call Number Expected Availability
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  • 36
    Publication Date: 2024-05-15
    Keywords: ARK-VII/3b; AWI_Paleo; Bartington MS2B bulk sensor 460 Hz; Calculated; Calculated from mass/volume; Density, wet bulk; DEPTH, sediment/rock; Event label; Gravity corer (Kiel type); Greenland Slope; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS17; PS17/290; PS1951-1; SL; Susceptibility, specific; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 142 data points
    Location Call Number Expected Availability
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  • 37
    Publication Date: 2024-05-15
    Keywords: Antarctic Ocean; ARK-IV/3; AWI_Paleo; Bartington MS2B bulk sensor; Bartington MS2B bulk sensor 460 Hz; Calculated; Calculated from mass/volume; Density, wet bulk; DEPTH, sediment/rock; GIK21533-3 PS11/412; Gravity corer (Kiel type); Magnetic susceptibility, volume; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS11; PS1533-3; Quaternary Environment of the Eurasian North; QUEEN; SL; Susceptibility, frequency dependence; Susceptibility, specific; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 211 data points
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  • 38
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    PANGAEA
    Publication Date: 2024-05-15
    Keywords: Baltic Sea System Study; BASYS; Bornholm Basin, Baltic Sea; Calculated; Calculated (Petelin, 1967 Grain size analysis of marine bottom sediments); Calculated (Trask, 1932, Houston, Gulf Pab. Co 67 pp); Calculated from mass/volume; Density, wet bulk; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Grain size class (Bezrukov & Lisitzin, 1960, Proceed. Inst. Oceanol., USSR, 32); IOW211630-9; KAL; Kasten corer; KOT99/97/02.1; Median, grain size; Petr Kottsov; Porosity; Size fraction 〈 0.001 mm, clay; Size fraction 〉 0.100 mm; Size fraction 0.005-0.001 mm; Size fraction 0.010-0.005 mm; Size fraction 0.050-0.010 mm; Size fraction 0.100-0.050 mm; Sorting in phi; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 359 data points
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  • 39
    Publication Date: 2024-05-15
    Keywords: Accumulation rate ice, water equivalent; Age; AGE; AWI_Glac; Calculated; Calculated from mass/volume; Density, mass density; Depth, bottom/max; DEPTH, ice/snow; Depth, top/min; Filchner Ronne Ice Shelf; Filchner-Ronne-Ice-Shelf-Project; FIRN; Firn auger; FRI25C95_14; FRISP 1992; Glaciology @ AWI; GLB-14 GL14/345; Mass spectrometer Finnigan Delta-S; Sampling/drilling ice; δ18O, water
    Type: Dataset
    Format: text/tab-separated-values, 180 data points
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  • 40
    Publication Date: 2024-05-15
    Keywords: Accumulation rate ice, water equivalent; Age; AGE; AWI_Glac; Calculated; Calculated from mass/volume; Density, mass density; Depth, bottom/max; DEPTH, ice/snow; Depth, top/min; Filchner Ronne Ice Shelf; Filchner-Ronne-Ice-Shelf-Project; FIRN; Firn auger; FRI29C95_10; FRISP 1992; Glaciology @ AWI; GLB-10 GL10; Mass spectrometer Finnigan Delta-S; Sampling/drilling ice; δ18O, water
    Type: Dataset
    Format: text/tab-separated-values, 252 data points
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  • 41
    Publication Date: 2024-05-15
    Keywords: Accumulation rate ice, water equivalent; Age; AGE; AWI_Glac; Calculated; Calculated from mass/volume; Density, mass density; Depth, bottom/max; DEPTH, ice/snow; Depth, top/min; Deuterium excess; Filchner-Ronne-Ice-Shelf-Project; FIRN; Firn auger; Foundation Ice Stream; FRI35C95_01; FRISP 1992; Glaciology @ AWI; GLB-01 GL01/930; Isotope ratio mass spectrometry; Mass spectrometer Finnigan Delta-S; Sampling/drilling ice; Scintillation; Tritium; Tritium, deposition; δ18O, water; δ Deuterium
    Type: Dataset
    Format: text/tab-separated-values, 458 data points
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  • 42
    Publication Date: 2024-05-15
    Keywords: Accumulation rate ice, water equivalent; Age; AGE; AWI_Glac; Calculated; Calculated from mass/volume; Density, mass density; Depth, bottom/max; DEPTH, ice/snow; Depth, top/min; Filchner Ronne Ice Shelf; Filchner-Ronne-Ice-Shelf-Project; FIRN; Firn auger; FRI33C95_06; FRISP 1992; Glaciology @ AWI; GLB-06 GL06/700; Mass spectrometer Finnigan Delta-S; Sampling/drilling ice; δ18O, water
    Type: Dataset
    Format: text/tab-separated-values, 294 data points
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  • 43
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    PANGAEA
    Publication Date: 2024-05-15
    Keywords: Baltic Sea System Study; BASYS; Calculated; Calculated (Petelin, 1967 Grain size analysis of marine bottom sediments); Calculated (Trask, 1932, Houston, Gulf Pab. Co 67 pp); Calculated from mass/volume; Density, wet bulk; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Gotland Basin, Baltic Sea; Grain size class (Bezrukov & Lisitzin, 1960, Proceed. Inst. Oceanol., USSR, 32); IOW211660-6; KAL; Kasten corer; KOT99/97/02.1; Median, grain size; Petr Kottsov; Porosity; Size fraction 〈 0.001 mm, clay; Size fraction 〉 0.100 mm; Size fraction 0.005-0.001 mm; Size fraction 0.010-0.005 mm; Size fraction 0.050-0.010 mm; Size fraction 0.100-0.050 mm; Sorting in phi; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 350 data points
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  • 44
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    PANGAEA
    In:  Supplement to: Cerney, Brian; Carlson, Richard L (1999): The effect of cracks on the seismic velocities of basalt from Site 990, Southeast Greenland margin. In: Larsen, HC; Duncan, RA; Allan, JF; Brooks, K (eds.) Proceedings of the Ocean Drilling Program, Scientific Results, College Station, TX (Ocean Drilling Program), 163, 1-7, https://doi.org/10.2973/odp.proc.sr.163.106.1999
    Publication Date: 2024-05-15
    Description: Seismic velocities in rocks are influenced by the properties of the solid, the pore fluid, and the pore space. Cracks dramatically affect seismic velocities in rocks; their influence on the effective elastic moduli of rocks depends on their shape and concentration. Thin cracks (or fractures) substantially lower the moduli of a rock relative to the effect of spherical voids (or vesicles), and lower moduli are reflected by lower P- and S-wave velocities. The objective of this research is to determine the types and concentrations of cracks and their influence on the seismic properties of subaerially erupted basalts drilled from Hole 990A on the Southeast Greenland margin during Ocean Drilling Program Leg 163. Ellipsoidal cracks are used to model the voids in the rocks. The elastic moduli of the solid (grains) are also free parameters in the inverse modeling procedure. The apparent grain moduli reflect a weighted average of the moduli of the constituent minerals (e.g., plagioclase, augite, and clay minerals). The results indicate that (1) there is a strong relationship between P-wave velocity and porosity, suggesting a similarity of pore shape distributions, (2) the distribution of crack types within the massive, central region of aa flows from Hole 990A is independent of total porosity, (3) thin cracks are the first to be effectively sealed by alteration products, and (4) grain densities (an alteration index) and apparent grain moduli of the basalt samples are directly related.
    Keywords: 163-990A; Calculated from mass/volume; Density, grain; Density, wet bulk; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Greenland Sea; Joides Resolution; Leg163; Ocean Drilling Program; ODP; Porosity; Pressure, stress; Sample code/label; Velocity, compressional wave; Velocity, shear wave
    Type: Dataset
    Format: text/tab-separated-values, 770 data points
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  • 45
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    PANGAEA
    Publication Date: 2024-05-15
    Keywords: Baltic Sea System Study; BASYS; Bornholm Basin, Baltic Sea; Calculated; Calculated (Petelin, 1967 Grain size analysis of marine bottom sediments); Calculated (Trask, 1932, Houston, Gulf Pab. Co 67 pp); Calculated from mass/volume; Density, wet bulk; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Grain size class (Bezrukov & Lisitzin, 1960, Proceed. Inst. Oceanol., USSR, 32); Gravity corer (Kiel type); IOW211630-10; KOT99/97/02.1; Median, grain size; Petr Kottsov; Porosity; Size fraction 〈 0.001 mm, clay; Size fraction 0.005-0.001 mm; Size fraction 0.010-0.005 mm; Size fraction 0.050-0.010 mm; Size fraction 0.100-0.050 mm; SL; Sorting in phi; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
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  • 46
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    PANGAEA
    Publication Date: 2024-05-15
    Keywords: Baltic Sea System Study; BASYS; Calculated; Calculated (Petelin, 1967 Grain size analysis of marine bottom sediments); Calculated (Trask, 1932, Houston, Gulf Pab. Co 67 pp); Calculated from mass/volume; Density, wet bulk; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Giant gravity corer AWI; Gotland Basin; Grain size class (Bezrukov & Lisitzin, 1960, Proceed. Inst. Oceanol., USSR, 32); GSL; IOW009602-2GC-4; KOT00/96/02; Median, grain size; Petr Kottsov; Porosity; Size fraction 〈 0.001 mm, clay; Size fraction 〉 0.100 mm; Size fraction 0.005-0.001 mm; Size fraction 0.010-0.005 mm; Size fraction 0.050-0.010 mm; Size fraction 0.100-0.050 mm; Sorting in phi; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 241 data points
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  • 47
    Publication Date: 2024-05-15
    Keywords: Accumulation rate ice, water equivalent; Age; AGE; AWI_Glac; Calculated; Calculated from mass/volume; Density, mass density; Depth, bottom/max; DEPTH, ice/snow; Depth, top/min; Filchner Ronne Ice Shelf; Filchner-Ronne-Ice-Shelf-Project; FIRN; Firn auger; FRI23C95_16; FRISP 1992; Glaciology @ AWI; GLB-16 GL16/245; Mass spectrometer Finnigan Delta-S; Sampling/drilling ice; δ18O, water
    Type: Dataset
    Format: text/tab-separated-values, 162 data points
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  • 48
    Publication Date: 2024-05-15
    Keywords: Accumulation rate ice, water equivalent; Age; AGE; AWI_Glac; Calculated; Calculated from mass/volume; Density, mass density; Depth, bottom/max; DEPTH, ice/snow; Depth, top/min; Filchner Ronne Ice Shelf; Filchner-Ronne-Ice-Shelf-Project; FIRN; Firn auger; FRI26C95_13; FRISP 1992; Glaciology @ AWI; GLB-13 GL13; Mass spectrometer Finnigan Delta-S; Sampling/drilling ice; δ18O, water
    Type: Dataset
    Format: text/tab-separated-values, 180 data points
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  • 49
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    PANGAEA
    Publication Date: 2024-05-15
    Keywords: Baltic Sea System Study; BASYS; Calculated; Calculated (Petelin, 1967 Grain size analysis of marine bottom sediments); Calculated (Trask, 1932, Houston, Gulf Pab. Co 67 pp); Calculated from mass/volume; Density, wet bulk; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Grain size class (Bezrukov & Lisitzin, 1960, Proceed. Inst. Oceanol., USSR, 32); IOW211670-4; KAL; Kasten corer; KOT99/97/02.1; Median, grain size; Northern Cape Basin; Petr Kottsov; Porosity; Size fraction 〈 0.001 mm, clay; Size fraction 0.005-0.001 mm; Size fraction 0.010-0.005 mm; Size fraction 0.050-0.010 mm; Size fraction 0.100-0.050 mm; Sorting in phi; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 188 data points
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  • 50
    Publication Date: 2024-05-15
    Keywords: Accumulation rate ice, water equivalent; Age; AGE; AWI_Glac; Calculated; Calculated from mass/volume; Density, mass density; Depth, bottom/max; DEPTH, ice/snow; Depth, top/min; Filchner Ronne Ice Shelf; Filchner-Ronne-Ice-Shelf-Project; FIRN; Firn auger; FRI24C95_15; FRISP 1992; Glaciology @ AWI; GLB-15 GL15/246; Mass spectrometer Finnigan Delta-S; Sampling/drilling ice; δ18O, water
    Type: Dataset
    Format: text/tab-separated-values, 168 data points
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  • 51
    Publication Date: 2024-05-15
    Keywords: Accumulation rate ice, water equivalent; Age; AGE; AWI_Glac; Calculated; Calculated from mass/volume; Density, mass density; Depth, bottom/max; DEPTH, ice/snow; Depth, top/min; Filchner Ronne Ice Shelf; Filchner-Ronne-Ice-Shelf-Project; FIRN; Firn auger; FRI28C95_11; FRISP 1992; Glaciology @ AWI; GLB-11 GL11/400; Mass spectrometer Finnigan Delta-S; Sampling/drilling ice; δ18O, water
    Type: Dataset
    Format: text/tab-separated-values, 132 data points
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  • 52
    Publication Date: 2024-05-15
    Keywords: Accumulation rate ice, water equivalent; Age; AGE; AWI_Glac; Calculated; Calculated from mass/volume; Density, mass density; Depth, bottom/max; DEPTH, ice/snow; Depth, top/min; Deuterium excess; Filchner-Ronne-Ice-Shelf-Project; FIRN; Firn auger; Foundation Ice Stream; FRI34C95_03; FRISP 1992; Glaciology @ AWI; GLB-03 GL03/800; Isotope ratio mass spectrometry; Mass spectrometer Finnigan Delta-S; Sampling/drilling ice; δ18O, water; δ Deuterium
    Type: Dataset
    Format: text/tab-separated-values, 392 data points
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  • 53
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    PANGAEA
    Publication Date: 2024-05-15
    Keywords: ARK-V/3b; AWI_Paleo; Bartington MS2B bulk sensor; Bartington MS2B bulk sensor 460 Hz; Calculated from mass/volume; Density, wet bulk; DEPTH, sediment/rock; GIK21730-2 PS13/224; Gravity corer (Kiel type); Greenland Sea; Magnetic susceptibility, volume; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS13 GRÖKORT; PS1730-2; SL; Susceptibility, frequency dependence; Susceptibility, specific
    Type: Dataset
    Format: text/tab-separated-values, 460 data points
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  • 54
    Publication Date: 2024-05-15
    Keywords: Brazil Basin; Calcium carbonate; Calculated; Calculated from mass/volume; Carbon, organic, total; Density, dry bulk; DEPTH, sediment/rock; Element analyser CHN; Element analyser CHN, LECO; GeoB; GeoB1117-3; Geosciences, University of Bremen; Giant box corer; GKG; Globigerinoides ruber pink, δ13C; Globigerinoides ruber pink, δ18O; M9/4; Mass spectrometer Finnigan MAT 251; Meteor (1986); Sedimentation rate
    Type: Dataset
    Format: text/tab-separated-values, 66 data points
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  • 55
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    Unknown
    PANGAEA
    Publication Date: 2024-05-15
    Keywords: Baltic Sea System Study; BASYS; Calculated; Calculated (Petelin, 1967 Grain size analysis of marine bottom sediments); Calculated (Trask, 1932, Houston, Gulf Pab. Co 67 pp); Calculated from mass/volume; Density, wet bulk; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Grain size class (Bezrukov & Lisitzin, 1960, Proceed. Inst. Oceanol., USSR, 32); IOW211670-7; KAL; Kasten corer; KOT99/97/02.1; Median, grain size; Northern Cape Basin; Petr Kottsov; Porosity; Size fraction 〈 0.001 mm, clay; Size fraction 0.005-0.001 mm; Size fraction 0.010-0.005 mm; Size fraction 0.050-0.010 mm; Size fraction 0.100-0.050 mm; Sorting in phi; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 191 data points
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  • 56
    Publication Date: 2024-05-15
    Keywords: Calculated from mass/volume; CALYPSO; Calypso Corer; Density, dry bulk; Density, wet bulk; DEPTH, sediment/rock; IMAGES; IMAGES I; International Marine Global Change Study; Marion Dufresne (1995); Mass, brutto; Mass, netto; Mass, tara; MD101; MD952039; MD95-2039; Porosity; Porto Seamount; Sample volume; Water content, wet mass, brutto
    Type: Dataset
    Format: text/tab-separated-values, 2952 data points
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  • 57
    Publication Date: 2024-05-15
    Keywords: Calculated from mass/volume; Density, dry bulk; DEPTH, sediment/rock; GIK/IfG; GIK17954-2; Gravity corer (Kiel type); Institute for Geosciences, Christian Albrechts University, Kiel; Mass, netto; MONITOR MONSUN; Sample mass; SL; SO95; Sonne; South China Sea; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 448 data points
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  • 58
    Publication Date: 2024-05-15
    Keywords: Calculated from mass/volume; Density, dry bulk; DEPTH, sediment/rock; GIK/IfG; GIK17939-2; Gravity corer (Kiel type); Institute for Geosciences, Christian Albrechts University, Kiel; Mass, netto; MONITOR MONSUN; Sample mass; SL; SO95; Sonne; South China Sea; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 496 data points
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  • 59
    Publication Date: 2024-05-15
    Keywords: Calculated from mass/volume; Density, dry bulk; DEPTH, sediment/rock; GIK/IfG; GIK17955-2; Gravity corer (Kiel type); Institute for Geosciences, Christian Albrechts University, Kiel; Mass, netto; MONITOR MONSUN; Sample mass; SL; SO95; Sonne; South China Sea; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 460 data points
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  • 60
    Publication Date: 2024-05-15
    Keywords: Accumulation rate ice, water equivalent; Age; AGE; AWI_Glac; Calculated; Calculated from mass/volume; Density, mass density; Depth, bottom/max; DEPTH, ice/snow; Depth, top/min; Filchner Ronne Ice Shelf; Filchner-Ronne-Ice-Shelf-Project; FIRN; Firn auger; FRI27C95_12; FRISP 1992; Glaciology @ AWI; GLB-12 GL12; Mass spectrometer Finnigan Delta-S; Sampling/drilling ice; δ18O, water
    Type: Dataset
    Format: text/tab-separated-values, 174 data points
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  • 61
    Publication Date: 2024-05-15
    Keywords: Accumulation rate ice, water equivalent; Age; AGE; AWI_Glac; Calculated; Calculated from mass/volume; Density, mass density; Depth, bottom/max; DEPTH, ice/snow; Depth, top/min; Deuterium excess; Filchner Ronne Ice Shelf; Filchner-Ronne-Ice-Shelf-Project; FIRN; Firn auger; FRI32C95_07; FRISP 1992; Glaciology @ AWI; GLB-07 GL07/600; Isotope ratio mass spectrometry; Mass spectrometer Finnigan Delta-S; Sampling/drilling ice; Scintillation; Tritium; Tritium, deposition; δ18O, water; δ Deuterium
    Type: Dataset
    Format: text/tab-separated-values, 480 data points
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  • 62
    Publication Date: 2024-05-15
    Keywords: Accumulation rate ice, water equivalent; Age; AGE; AWI_Glac; Calculated; Calculated from mass/volume; Density, mass density; Depth, bottom/max; DEPTH, ice/snow; Depth, top/min; Deuterium excess; Filchner-Ronne-Ice-Shelf-Project; FIRN; Firn auger; Foundation Ice Stream; FRI38C95_04; FRISP 1992; Glaciology @ AWI; GLB-04 GL04/1100; Isotope ratio mass spectrometry; Mass spectrometer Finnigan Delta-S; Sampling/drilling ice; Scintillation; Tritium; Tritium, deposition; δ18O, water; δ Deuterium
    Type: Dataset
    Format: text/tab-separated-values, 336 data points
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  • 63
    Publication Date: 2024-05-15
    Keywords: Age, dated; Age model, layer counting; Basilicata, southern Italy; Calculated from mass/volume; CDRILL; Core drilling; Density, dry bulk; Lago_Grande_di_Monticchio
    Type: Dataset
    Format: text/tab-separated-values, 2859 data points
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  • 64
    Publication Date: 2024-05-15
    Keywords: 34-320B; 37-335; 73-519A; AGE; a - lattice parameter; Analytical electron microscopy (AEM); Curie temperature; Deep Sea Drilling Project; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Event label; Glomar Challenger; Intensity X; Intensity Z; Latitude of event; Leg34; Leg37; Leg73; Longitude of event; North Atlantic; Sample code/label; South Atlantic/RIDGE; South Pacific/BASIN; Transmission electron microscope (TEM)
    Type: Dataset
    Format: text/tab-separated-values, 23 data points
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  • 65
    Monograph available for loan
    Monograph available for loan
    Jakutsk : Izdatel'stvo Instituta Merzlotovedenija SO RAN
    Call number: AWI G3-24-95730
    Description / Table of Contents: Translation of abstract: Using the example of the Igarsky district of the Krasnoyarsk Territory, the work examines the development of modern geocryological conditions of the northern taiga subzone of the Yenisei Arctic, caused by the development of the territory and climate warming in recent decades. The scale and degree of changes in geocryological conditions in areas of azonal development of permafrost rocks, as well as on the route of the high-voltage line Kureyskaya HPP - Norilsk in the section from the river, have been revealed. Bol. Kozharki to the hall. The Whitefish Khantaisk Reservoir is about 250 km long. The genesis and development of thermokarst lakes, the formation of modern permafrost on the bottom of a partially drained lake, frost cracking and accumulation of modern epigenetic re-veined underground ice on coarse peat bogs, changes in permafrost conditions along the routes of the “dead” railway and the future Vankor-Igarka oil pipeline are considered. The book is intended for permafrost scientists, geographers and civil engineers.
    Description / Table of Contents: В работе на примере Игарского района Красноярского края рассматривается развитие современных геокриологических условий северо-таежной подзоны Енисейского Заполярья, обусловленное освоением территории и потеплением климата в последние десятилетия. Выявлены масштабы и степень изменений геокриологических условий в районах азонального развития многолетнемерзлых пород, а также на трассе высоковольтной линии Курейская ГЭС - Норильск на участке от р. Бол. Кожарки до зал. Сигового Хантайского водохранилища протяженностью около 250 км. Рассмотрены генезис и развитие термокарстовых озер, формирование современной мерзлоты на дне частично осушенного озера, морозобойное растрескивание и накопление современных эпигенетических повторно-жильных подземных льдов на крупнобугристых торфяниках, изменение мерзлотных условий на трассах "мертвой" железной дороги и будущего нефтепровода Ванкор - Игарка. Книга предназначена для мерзлотоведов, географов и инженеров-строителей.
    Type of Medium: Monograph available for loan
    Pages: 89 Seiten , Illustrationen
    ISBN: 5932540036 , 5-93254-003-6
    Language: Russian
    Note: Translation of Table of Contents: INTRODUCTION Chapter 1. REVIEW OF GEOCRYOLOGICAL RESEARCH Chapter 2. NATURAL CONDITIONS Chapter 3. GENERAL GEOCRYOLOGICAL CHARACTERISTICS AND LANDSCAPE ZONING OF THE REGION Chapter 4. CONDITION OF PERMAFROST ROCKS ALONG THE ROUTE OF POWER LINES SVETLOGORSK - IGARKA - SNEZHNOGORSK 4.1. Forested areas 4.2. Treeless areas 4.3. Areas with close rock formations 4.4. Talik areas in the hall. Sigovom Khantaiskoe Reservoir Chapter 5. PERMAFROST ROCKS OF THE LEFT AND RIGHT BANK OF THE YENISEY RIVER NEAR THE CITY OF IGARKA Chapter 6. CHANGES IN GEOCRYOLOGICAL CONDITIONS ON THE “DEAD” RAILROAD ROUTE Chapter 7. FORMATION OF PERMAFROST ROCKS AT THE BOTTOM OF A DRY LAKE. PIKE Chapter 8. GENESIS AND DYNAMICS OF DEVELOPMENT OF ICE MOUNTAIN Chapter 9. TERMOKARST IN THE YENISEI NORTH CONCLUSION LITERATURE , ОГЛАВЛЕНИЕ ВВЕДЕНИЕ Глава 1. ОБЗОР ГЕОКРИОЛОГИЧЕСКИХ ИССЛЕДОВАНИЙ Глава 2. ПРИРОДНЫЕ УСЛОВИЯ Глава 3. ОБЩАЯ ГЕОКРИОЛОГИЧЕСКАЯ ХАРАКТЕРИСТИКА И ЛАНДШАФТНОЕ РАЙОНИРОВАНИЕ РЕГОИНА Глава 4. СОСТОЯНИЕ МНОГОЛЕТНЕМЕРЗЛЫХ ПОРОД ПО ТРАССЕ ЛЭП СВЕТЛОГОРСК - ИГАРКА - СНЕЖНОГОРСК 4.1. Залесенные участки 4.2. Безлесные участки 4.3. Участки с близким залеганием скальных пород 4.4. Таликовые участки в зал. Сиговом Хантайскоrо водохранилища Глава 5. МНОГОЛЕТНЕМЕРЗЛЫЕ ПОРОДЫ ЛЕВО- И ПРАВОБЕРЬЯ Р. ЕНИСЕЯ БЛИЗ Г. ИГАРКИ Глава 6. ИЗМЕНЕНИЕ ГЕОКРИОЛОГИЧЕСКИХ УСЛОВИЙ НА ТРАССЕ "МЕРТВОЙ" ЖЕЛЕЗНОЙ ДОРОГИ Глава 7. ФОРМИРОВАНИЕ МНОГОЛЕТНЕМЕРЗЛЫХ ПОРОД НА ДНЕ ОСУШЕННОГО ОЗ. ЩУЧЬЕГО Глава 8. ГЕНЕЗИС И ДИНАМИКА РАЗВИТИЯ ЛЕДЯНОЙ ГОРЫ Глава 9. ТЕРМОКАРСТ НА ЕНИСЕЙСКОМ СЕВЕРЕ ЗАКЛЮЧЕНИЕ ЛИТЕРАТУРА , In kyrillischer Schrift
    Location: AWI Reading room
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  • 66
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    Unknown
    Selbstverlag Fachbereich Geowissenschaften, FU Berlin
    In:  Herausgeberexemplar
    Publication Date: 2024-05-08
    Description: Inhaltsübersicht : Helmut Keupp & Daria Ivanova: Calcareous dinoflagellate cysts from the Late Jurassic and Early Cretaceous of the Western Forebalkan, Bulgaria … 3-31 ; Helmut Keupp & Rolf Kohring: Kalkige Dinoflagellatenzysten aus dem Obermiozän (NN 11 ) W von Rethimnon (Kreta) … 33-53 ; Dimitris Frydas, Helmut Keupp & Spyridon M. Bellas: Biostratigraphical research in Late Neogene marine deposits of the Chania Province, western Crete, Greece … 55-67 ; Glenn Fechner: "Microforaminiferal" lining taphonomy: A cautionary note … 69-81 ; Uwe Gloy & Rolf Kohring: Py-GC-Analysen an einem fossilen Harz aus dem Oberen Jura (Grube Guimarota/Portugal) … 83-88 ; Joachim Gründel: Truncatelloidea (Littorinimorpha, Gastropoda) aus dem Lias und Dogger Deutschlands und Nordpolens … 89-119 ; Helmut Keupp, Martin Röper & Adolf Seilacher: Paläobiologische Aspekte von syn vivo-besiedelten Ammonoideen im Plattenkalk des Ober-Kimmeridgiums von Brunn in Ostbayern … 121-145 ; Nikolaus Malchus: Identification of larval bivalve shells by means of simple statistics … 147-160 ; Carsten Helm, John W.M. Jagt & Manfred Kutscher: Early Campanian ophiuroids from the Hannover area (Lower Saxony, Northern Germany) … 161-173 ; Christian Neumann: New spatangoid echinoids (Echinodermata) from the Upper Cretaceous of Jordan: taxonomy and phylogenetic importance … 175-189 ; Oldrich Fejfar und Daniela C. Kalthoff: Aberrant cricetids (Platacanthomyines, Rodentia, Mammalia) from the Miocene of Eurasia … 191-206 ; Thekla Pfeiffer: Sexualdimorphismus, Ontogenie und innerartliche Variabilität der pleistozänen Cervidenpopulationen von Dama dama geiselana Pfeiffer 1998 und Cervus elaphus L. (Cervidae, Mammalia) aus Neumark-Nord (Sachsen-Anhalt, Deutschland) … 207-313 ; Beiträge zur Baikal-Rift-Forschung : MJ. Kuzmin et al.: Climatic events in Siberia during upper Brunhes according to the Lake Baikal sedimentary record … 315-323 ; S. K. Krivonogov et al.: The prospects of GIS use in investigation of the Baikal area … 325-328 ; Y. Masuda et al.: Perspective Studies of Freshwater Sponges in Lake Baikal … 329-332 ; Oleg A. Timoshkin: Biology of Lake Baikal: „White Spots“ and Progress in Research … 333-348 ; Bibliographie : Uwe Gloy: Bibliographie 1997, Institut für Paläontologie, FU Berlin … 349-352 ;
    Description: thesis
    Description: DFG, SUB Göttingen
    Keywords: ddc:560 ; Paläobiologie ; Paläontologie
    Language: German , English
    Type: doc-type:book
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  • 67
    Publication Date: 2024-05-08
    Description: Die vorliegende Arbeit behandelt die Kalkdinoflagellaten-Floren aus dem Alb der Forschungsbohrung Kirchrode II (Niedersächsisches Becken). Im Vordergrund stand die Frage nach der bisher wenig bekannten Ökologie dieser Phytoplankton-Gruppe zur Zeit ihrer maximalen Blüte. Dazu wurden die Zysten-Vergesellschaftungen qualitativ und halb-quantitativ untersucht und Diversitätsanalysen durchgeführt. Die Ergebnisse wurden mit lithologischen und paläontologischen Daten der an der Untersuchung des Bohrkerns beteiligten Arbeitsgruppen verglichen. Es konnten 37 Morphospezies kalkiger Dinoflagellaten-Zysten nachgewiesen werden. Gemeinsam mit den Morphospezies des Profils Kirchrode I erhöht sich damit die Gesamtzahl der im Alb des Niedersächsischen Beckens nachgewiesenen Taxa auf 45. Das weltweit früheste Auftreten der Unterordnung Pithonelloideae konnte für das frühe Mittel-Alb (Hoplites dentatus-Zone) belegt werden. Außerdem konnte erstmals die Verbreitung der Fuettererelloideae für die Unterkreide sicher dokumentiert werden. Aufgrund unterschiedlicher ökologischer Umweltansprüche konnten 4 typische Kalkdinoflagellaten-Gesellschaften unterschieden werden. Die Zusammensetzung der Zystenvergesellschaftungen wird in erster Linie von Nährstoffreichtum, Salinität und Temperatur des Oberflächenwassers kontrolliert. Gemeinsam mit den neu interpretierten Kalkdinoflagellaten-Vergesellschaftungen des Profils Kirchrode I (KEUPP 1995) reflektieren die Vergesellschaftungen für das Unter- und Mittel-Alb einen Meeresspiegelanstieg bei gleichzeitiger Nährstoffverarmung und Erwärmung. Für das Ober-Alb kann ein Meeresspiegelhöchststand (maximale Pelagizität) und anschließende rasche Regression postuliert werden. Daten anderer Fossilgruppen (Coccolithophoriden, Foraminiferen, Radiolarien) untermauern diese Interpretation. Die Palökologie der Unterkretazischen Orthopithonelloideae wird neu interpretiert. In der späten Unterkreide sind sie nicht, wie bisher angenommen, pelagisch, sondern im Gegenteil an trophische, neritische und vermutlich auch kühlere Oberflächenwasser-Bedingungen gebunden. Innerhalb der grobkristallinen Vertreter der Pirumella loeblichi-Gruppe nimmt P. loeblichi aufgrund abweichender ökologischer Ansprüche (Präferenz für stagnierende und nährstoffreichere Beckenbedingungen) eine Sonderstellung ein. Es konnten 6 Migrationsereignisse tethyaler Zysten nachgewiesen werden, die vermutlich transgressive Impulse widerspiegeln. Die auf diese Fossilgruppe erstmals angewendeten Methoden der Diversitäts- und Häufigkeitsanalysen haben sich als geeignet erwiesen, Wechselwirkungen zwischen fossilen Kalkdinoflagellatenzysten und ihrer Umwelt aufzuzeigen.
    Description: Subject of this study are the calcareous dinoflagellates cysts of the drilling core Kirchrode II (Albian, central Lower Saxony Basin, Northwest Germany). The purpose of this investigation is to give answers to the question of the poorly understood palaeoecology of this important phytopankton group at the time of its maximum radiation. Cyst assemblages were examined qualitatively and semi-quantitatively. Diversity analyses of the cyst assemblages were carried out as well. The results were compared with other lithological and palaeontological data of the drilling core. 37 morphotaxa were identified. Together with the morphospecies recorded from the uppermost Upper Albian of the drilling core Kirchrode I (KEUPP 1995), the number of documented taxa in the Albian of the Lower Saxonian Basin increases to 45 taxa. The first appearance date of the suborder Pithonelloidae is recognised in the lower Middle-Albian (Hoplites dentatus-zone). Moreover, the distribution of the Fuettererelloideae in the Lower Cretaceous is documented for the first time. The taxonomic compositions of the cyst assemblages change through time. Due to their different ecological preferences, 4 typical cysts-assemblages were recognised. The composition of the assemblages was controlled chiefly by nutrient availability, salinity and temperature of the surface water-masses. Together with the re-examined cyst-assemblages of the drilling-core Kirchrode I, the assemblages reflect a sea level rise during the Early and Middle Albian, together with simultaneous warming and nutrient decrease. A postulated sea level highstand (maximum pelagicity) in the Late Albian is followed by a rapid regression in the upper dispar-zone. Data from other plankton groups (coccolithophorids, foraminiferes and radiolarians) support this interpretation. The palaeoecology of the Early Cretaceous Orthopithonelloideae is newly interpreted. They were not, as supposed until now, components of the pelagic realm. On the contrary, their distribution reflects neritic, nutrient-rich and probably cool surface-water masses. Within the Obliquipithonelloids with coarse-crystalline body walls, Pirumella loeblichi holds an exceptional position with respect to its deviating ecology (preference for stagnant and nutrient-rich basin conditions). 6 distinct migration-events of cysts with tethyal origin were recognised. These events are probably related to transgressive pulses. The methods of community and diversity analyses, used for the first time for this little known phytoplankton group, are a powerful tool for the analyses of paleoecological distribution patterns of the group and can be used for paleooceanic basin interpretation.
    Description: thesis
    Description: DFG, SUB Göttingen
    Keywords: ddc:560 ; Paläobiologie ; Paläontologie ; Dinoflagellaten
    Language: German
    Type: doc-type:book
    Format: 84
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  • 68
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    Unknown
    Selbstverlag Fachbereich Geowissenschaften, FU Berlin
    In:  Herausgeberexemplar
    Publication Date: 2024-05-03
    Description: Den eigentlichen Anwendungen geophysikalischer Modelliertechniken und Bearbeitungsmethoden geht im Verlauf dieser Arbeit eine umfassende Evaluierung und Kompilierung einer Flächendeckenden Datenbasis zwischen 20° und 26°S sowie 62° und 74°W aus gravimetrischen Daten voran. Untersuchungen des Magnetfeldes beschränken sich auf den Bereich der Nazca-Platte. Dabei werden alle verfügbaren Datensätze einbezogen, wozu neben Satelliten-altimetrisch gewonnenen Schweredaten auch Datensätze südamerikanischer Partner-Institutionen gehören. Ziel dieser Vorarbeiten ist die Erstellung eines homogenen nach Qualitätsmerkmalen unterschiedenen Schweredatensatzes, welcher den ozeanischen und den kontinentalen Bereich des Meßgebietes zwischen 20° und 26°S des Arbeitsgebietes beinhaltet. Im folgenden dient die gravimetrische und magnetische Datenbasis als Vergleichsdatensatz für die Modellierung von Dichteinhomogenitäten und Magnetisierungskontrasten. Randbedingungen aus anderen geowissenschaftlichen Teilbereichen wie der Seismik (grenzt die Geometrie- und Dichtevariationen ein), der Petrologie (Phasenübergänge, Gesteinsmetamorphosen) und Geologie (Strukturelle Grenzen) dienen der maximalen Einschränkung von Dichtedomänen und magnetisierten Bereichen. Das lokale 3D-Modell des Kontinentalrandes mit angrenzender Nazca-Platte erklärt die im Magnet-und Schwerefeld beobachteten Anomalien und zeigt die besondere Bedeutung der subduzierten Lithosphäre der Nazca-Platte auf. Neben dieser statischen Modellierung werden im Schwerefeld enthaltene Informationen über die Rigidität der aneinander grenzenden ozeanischen und kontinentalen Lithosphärenplatten extrahiert. Mit einem 3D-Kohärenzverfahren, welches erstmalig in den Zentralen Anden angewendet wird, werden Bereiche mit unterschiedlicher Festigkeit abgegrenzt. Durch die Einbeziehung von ’’Surface- und Subsurface Load” wird die hochauflösende Kohärenz-Analyse verbessert, gegenüber 2D- Verfahren ohne Berücksichtigung von ’’Subsurface Loads”. Eine Vergleichsstudie der Rigiditätsverteilung mit ähnlich regionalen Charakteristika der Lithosphärenplatten, wie etwa dem geothermischen Gradienten führt zu vergleichbaren Aussagen und bestätigt den großen Einfluß der subduzierten Nazca-Platte auf das gesamte aktive System in Bezug auf das Schwerefeld, das Thermische- und das Spannungsregime. Bereiche mit hohem Oberflächen-Wärmefluß korrelieren mit geringer Rigidität. Demzufolge finden sich die höchsten Rigiditätswerte im Forearc und östlichen Backarc und die niedrigsten in der Westkordillere. Schließlich wird auf der Basis der Analyse isostatischer Restfelder mit und ohne Berücksichtigung des Schweresignals der Nazca-Platte, der isostatische Zustand der kontinentalen Lithosphäre untersucht. Dabei werden zusätzlich, neben Modellgeometrien, Dichten und Rigiditäten auch geotektonische Regionen unterschieden. Isostatische Unterkompensation wird demnach in der Küstenkordillere und der Ostkordillere beobachtet. Der Bereich des Hochplateaus der Zentralen Anden befindet sich in isostatischem Gleichgewicht.
    Description: The actual application of geophysical modelling and processing techniques in this thesis is preceded by a comprehensive evaluation and compilation of a Database covering the area from 20° and 26°S to 62° and 74°W with gravimetric and magnetic data. Research of the magnetic field is constrained to the Nazca-Plate oceanic area. In addition to altimétrie satellite gravity data all other available gravity data has been included in the database, e.g. datasets provided by our south american partner institutions. The aim of these preparatory works is the preparation of a uniform dataset which distinguishes data according to quality features. In further progress, this gravimetric and magnetic database is utilized to compare the Signals caused by density inhomogeneities and magnetization contrasts to measured data. Boundary conditions from other geophysical disciplines like seismics (restricting geometry and density variations), petrology (Phasetransitions, Metamorphic reactions) and geology (structural boundaries) lead to a maximum limitation of density and magnetic domains. The local 3D-model of the continent-ocean transition zone with the boundaring Nazca-plate explains the observed anomalies and highlights the particular meaning of the subducting Nazca-plate. Beside this static modelling information about the rigidity of the contacting oceanic and continental lithospheres which is contained in the gravity field is extracted. The utilization of a new 3D-coherence method, which is applied for the first time in the central Andes, enables to divide regions of different rigidity. The incorporation of surface and subsurface loads implies a higher spacial resolution in opposition to 2D-methods not regarding subsurface loads. A comparative study of the distribution of rigidity and similar more regional parameters controlling the rigidity of the lithosphere leads to compareable results and confirms the importance of the subducting Nazca-plate on the active system, in terms of the gravity field, the geothermal- and stress regime. Regions characterized by high surface heatflow correspond to low rigidity. The highest values for flexural rigidity are to be found in the forarc and eastern backarc, the lowest in the active volcanic front, the western cordillera. Finally an analysis of isostatic residual fields, again taking into account the gravity signal of the subducting Nazca-plate reveals different isostatic conditions for different parts of the surveyed continental lithosphere. Apart from model geometries, densities and rigidities geotectonic regions are distinguished. Isostatic undercompensation is observed in the coastal and eastern cordillera; whereas the andean plateaus in the central Andes can be considered as isostatically compensated.
    Description: thesis
    Description: DFG, SUB Göttingen
    Keywords: ddc:550 ; Kontinentalrand ; Schwere ; Isostasie ; Refraktionsseismik
    Language: German
    Type: doc-type:book
    Format: 194
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  • 69
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    Unknown
    Selbstverlag Fachbereich Geowissenschaften, FU Berlin
    In:  Herausgeberexemplar
    Publication Date: 2024-05-03
    Description: Eine für die Zentralanden erstellte geowissenschaftliche Datenbank erfaßt die umfangreichen Forschungsergebnisse des SFB 267 wie auch externe Datensätze in Form eines zentral verwalteten Dateisystems. Ein Datenkatalog, welcher seit Mitte 1996 auch im World Wide Web (WWW, URL: http://userpage.fu-berlin.de/~data) verfügbar ist, bietet einen Überblick über die aktuelle Datenbasis und erleichtert den allgemeinen Zugriff auf die einzelnen Datensätze. Vorgestellt werden ferner verschiedene Methoden zur Analyse raumbezogener Daten aus Bereichen der Statistik (streifen-gemittelte Topographieprofile, Standardabweichung, Korrelationen, Fraktale) , Bildverarbeitung (direktionale Richtungsfilter) , Geomorphometrie (Neigung und Vertikalwölbung) und Numerik (Horizontalgradienten, FFT). Die Anwendung dieser Verfahren bezüglich einer regionalen Strukturierung wird am Beispiel der für die Zentralanden flächendeckend vorliegenden Topographie und Schwerefelder getestet und mit den aus langjährigen Untersuchungen in den Anden zur Verfügung stehenden Forschungsergebnissen verglichen. Endogene und exogene Prozesse spiegeln sich in den topographischen Erscheinungsformen wider. Insbesondere mit Hilfe der geomorphometrischen Analyse und der FFT-Filterung lassen sich für die morphostrukturellen Einheiten typische Merkmale sehr gut herausarbeiten. Auch mit einer einfachen Statistik (streifen-gemittelte Topographieprofile, Berechnung von Minimum, Mittelwert, Maximum und Standardabweichung einzelner Untersuchungsgebiete) können für die ausgewählten Gebiete charakteristische Unterschiede ermittelt werden. Im Hinblick auf die Topographie unterscheidet sich bei allen Untersuchungsmethoden am Westrand der Zentralanden der hyperaride Norden im Bereich der Atacama Wüste deutlich vom weniger trockenen Süden. Studien zur fraktalen Geometrie der Geländeoberfläche zeigen, daß sich die andine Topographie skaleninvariant verhält und tektonische wie klimatische Einflüsse sich in der geometrischen Variation der Geländeoberfläche widerspiegeln. Morphologisch zergliederte Zonen, wie das durch starke Verkürzungen gekennzeichnete Subandin oder der Südwestrand der Zentralanden, weisen im Vergleich zur fraktalen Dimension des Gesamtgebietes eine höhere fraktale Dimension auf, während das hyperaride Gebiet im Bereich der Atacama Wüste durch einen vergleichsweise niedrigen Wert gekennzeichnet ist. Mit der direktionalen Lineamentverstärkung, z.T. aber auch mit anderen Methoden wie etwa der Darstellung der Neigungsrichtung, werden die wichtigsten Störungszonen (z.B. das Atacama- oder das Präkordilleren-Störungssystem) weitestgehend erfaßt. Auf dem Pazifik bilden sich - sowohl bei der geomorphometrischen Untersuchung wie auch bei der Lineamenterkennung - entlang der Peru-Chile-Tiefseerinne die im CINCA Experiment beobachteten morphologisch-tektonischen Charakteristika (Reichert et al., 1997), wie z.B. die Blocktektonik innerhalb einer ca. 50 km breiten, westlich der Tiefseerinne verlaufenden Zone, ab. Gravimetrische Lineamente, die aus den maximalen Horizontalgradienten im Schwerefeld abgeleitet werden, weisen auf abrupte, laterale Dichteänderungen hin, sind jedoch in den Zentralanden nur in Einzelfällen mit den an der Oberfläche anstehenden lithologischen Einheiten oder Störungszonen korrelierbar. Die zweidimensionale Korrelation im moving window Verfahren hat sich als nützliches Instrument zur Analyse von sich gegenseitig beeinflussenden, raumverteilten Datensätzen erwiesen. Die Wahl der Fenstergröße erlaubt, zwischen einer regionalen und einer eher lokalen Analyse zu differenzieren; mit Hilfe einer geeigneten Visualisierung lassen sich die Beziehungen zwischen den Variablen schnell erfassen. Die räumlich differenzierte, quantitative Analyse der Korrelation zwischen Schwerefeld und Topographie in den Zentralanden zeigt, daß nicht nur die Bouguer-Anomalie sondern auch das isostatische Restfeld stark negativ mit der Geländehöhe korreliert.
    Description: A geoscientific database was established for the area of the Central Andes, which includes information about past and current research conducted within the frame of the ’SFB 267 - Deformation Processes in the Andes’ (Berlin, Potsdam) as well as data from external sources. The catalogue, which since 1996 is also available on the Web (WWW, URL: http://userpage.fu-berlin.de/~data/ provides a general view of the database architecture and contents, and facilitates common and easy access to singular sets of data. In addition, various methods for the analysis of spatial data from disciplines such as statistics (swath-averaged topographic profiles, standard deviation, correlation, fractals), digital image processing (directional filtering), geomorphometry (inclination and vertical doming) and numerical methods (horizontal gradient, Fast Fourier Transformation [FFT]) are presented in this thesis. Application of these techniques for structural analysis on a regional scale was tested for the Central Andes, for which topographic coverage is complete, as well as for associated gravity fields, and compared with information generated during long term investigations in the Andes. Endogenous and exogenous processes are mirrored in topographic forms and landscapes. Characteristic features of morphostructural units are particularly well characterized when employing geomorphometric analyses and FFT filter techniques. Even simple statistical methods (swath-averaged topographic profiles, calculation of minimum, mean, maximum and standard deviation) for selected areas allow recognition of specific features and characteristic variations. As far as topography is concerned, distinct differences between the hyperarid northern portion of the western Central Andes (Atacama Desert) and lesser arid southern sectors are evident for all methods employed. Studies of the surface fractal geometry show an invariance of scale of the Andean topography. Structural and climatic influences are mirrored in geometric variations of the landscape. Morphologically intensely structured portions, like the Subandean ranges, characterized by pronounced crustal shortening, or the southwestern margin of the Central Andes are marked by a higher fractal dimension, when compared to the entire area studied, whereas the hyperarid portion of the Atacama Desert is characterized by a lower fractal dimension. Directional lineament enhancement, but other methods such as areal inclination detection as well, allow to accentuate major zones of structural weakness, such as the Atacama and Precordilleran fault systems. Both, geomorphometric investigations and lineament recognition, enhance morpho-structural features such as block-faulting of oceanic lithosphere along the Peru-Chile deep sea trench in a 50 km wide sector to the west of the subduction zone, and verify results gathered during the CINCA experiment (Reichert et al., 1997). Gravimetric lineaments, derived from maximum horizontal gradients in gravity fields of the Central Andes, point to abrupt lateral density variations, but can only occasionally be correlated with outcropping lithologic units or fault zones. The two dimensional correlation using the moving average technique has proven to be useful for analysis of mutually influencing and spatially arranged data sets. Selection of a proper window size allows to differentiate between analyses on regional resp. local scales. Employing proper visualization, relations between variables are easily detectable. A spatially differentiated and quantitative analysis of the relationship between gravity field and topography in the Central Andes shows a strong negative correlation of altitude with Bouguer anomaly and isostatic residual field.
    Description: http://www.cms.fu-berlin.de/sfb/sfb267/results/data_catalogue/index.html
    Description: thesis
    Description: DFG, SUB Göttingen
    Keywords: ddc:550 ; Geowissenschaften ; Geoinformationssystem ; Datenanalyse ; Geophysik
    Language: German
    Type: doc-type:book
    Format: 124
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  • 70
    Publication Date: 2024-05-03
    Description: Schweremessungen im Hochgebirge erfordern eine genaue Bestimmung der topographischen Reduktion für die Berechnung der Bouguer-Anomalie. Von besonderer Wichtigkeit ist hierbei die optimale Approximation der Erdoberfläche durch geometrisch einfache Geländemodelle und die Kenntnis der Gesteinsdichteverteilung im Untersuchungsgebiet. Mit modernen Reduktionsverfahren ist es möglich, topographische Effekte zu verringern oder zu eliminieren und somit die Genauigkeit der Bouguer-Anomalie zu erhöhen. Anhand der verfügbaren Literatur wird eine Übersicht über bislang entwickelte Verfahren zur Berechnung der topographischen Reduktion gegeben. Hierbei handelt es sich um Verfahren, bei denen die Gestalt des Geländes zumeist durch unterschiedliche Modellvorstellungen (Quader, Kreisringsegmente) approximiert wird. Ein weiteres Problem ist die korrekte Berücksichtigung der Reduktionsdichte innerhalb des Untersuchungsgebietes. Darauf aufbauend wird ein Reduktionsverfahren entwickelt, das eine optimale Anpassung der Topographie durch die Triangulation aller Höheninformationen erlaubt bei gleichzeitiger Berücksichtigung von lateral variierenden Gesteinsdichteverteilungen, sog. Dichteprovinzen im Vergleich zum Standarddichteansatz. Die Höheninformationen bestehen aus einer Kombination von exakten Punkthöhen der Gravimeterstationen, den Höhenwerten aus hochauflösenden digitalen Höhenmodellen (DHM) und sonstigen Höhendaten. Durch eine Dreiecksvermaschung aller Höhenpunkte entsteht eine triangulierte irreguläre Netzwerk-Struktur (TIN). Die Geländereduktion für eine Station erhält man durch Summierung der Schwerewirkung aller Polyeder, deren Grundfläche aus ebenen Dreiecken im Stationsniveau und deren Deckflächen aus geneigten Flächen der Geländeapproximation bestehen. Die Berechnung der Schwerewirkung erfolgt durch eine analytische Lösung des auftretenden Volumenintegrals des Polyeders. Bei dieser Polyeder-Methode entfällt außerdem die klassische Einteilung des Geländes in unterschiedliche Entfernungszonen. Aufgrund des Rechenalgorithmus gehört das Polyeder- Verfahren zu den stationsunabhängigen Reduktions verfahren. Die Anwendung des Verfahrens erfolgt an Schweremessungen aus den Zentralen Anden in Südamerika zwischen 19°-29° S und 60°-71° W. Als Datengrundlage dienen ca. 15 000 Schwerestationen und das hochauflösende 30”x30” Höhenmodell ’GTOPO30’ des USGS. Mit einem modifizierten Nettleton-Verfahren werden erstmalig mittlere Reduktionsdichtewerte aus Bouguer-Schwerewerten für den zentralen Andenbereich bestimmt. Die Verwendung von diesen Dichtemodellen stellt den Versuch dar, die Schweredaten mit einer lateral variierenden DichteVerteilung neu zu interpretieren. Es ist deshalb nur als ein erster Ansatz zu verstehen, weil die derzeit verfügbare Dichtedatenbasis im Untersuchungsgebiet noch nicht ausreichend gut ist. Mit dem Polyeder- Verfahren steht ein moderner und flexibler Rechenalgorithmus zur Verfügung, der in idealer Weise alle notwendigen Höhen- und Gesteinsdichteinformationen zur optimalen Berechnung der topographischen Reduktion in der Gravimetrie verwendet.
    Description: Gravimetric measurements in high mountains need an exact determination of the topographic reduction for the calculation of the Bouguer-Anomaly. The optimum representation of the shape of the earth’s relief by simple geometric ground models and the knowledge of the rock density distribution in the examined area is very important. It is possible to reduce or eliminate topographic effects by modern reduction procedures and to increase the exactness of the Bouguer- Anomaly. The available literature so far about this topic gives a survey about the developed procedure of calculating the topographic reduction. These procedures deal with the approximation of the ground condition by different model proceedings. Another problem is the correct consideration of the reduction density in the explored area. Based on this a new method for calculating the topographic reduction at each gravity station with a simultaneous consideration of variable rock density distribution, which are called density provinces, is developed. This method bases on the approximation of the terrain by polyhedrons. The source of the terrain model consists of digital elevation models (DEM), the heights of the gravity station themselves and perhaps other heights. Next step is the triangulation of the data and the result of it is a network of triangulation facets (TIN). The triangulated topography and the reference surface of the gravity surface built a polyhedron by which gravity attraction can be calcuated immediately and exactly and in an analytical form to each gravity station in the area. This procedure is called polyhedron-method and it belongs to the station-independent reduction procedures. The approximation of the topography in the triangulation facets avoids a classical division of the surroundings into different distance zones. The application of this procedure is carried out in gravity measurements of the Central Andes in South America between 19°-29°S and 60°-71°W. The data source includes 15 000 gravity stations and a 30-arc second digital elevation model ’GTOPO30’ of South America from the USGS. The first medium reduction density values taken from the Bouguer gravity values are fixed for the Central Andes by a modified Nettleton-procedure. That is only to understand as the first attempt. The momentary available density data basis in the explored area is still not satisfying. A new modern and flexible polyhedron method which ideally uses all necessary elevation information about the topography to provide higher accuracy for the terrain reduction process than it was possible before is now available.
    Description: thesis
    Description: DFG, SUB Göttingen
    Keywords: ddc:550 ; Hochgebirge ; Digitales Geländemodell ; Bouguer-Anomalie ; Topografische Korrektion ; Computerunterstütztes Verfahren
    Language: German
    Type: doc-type:book
    Format: 138
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  • 71
    facet.materialart.
    Unknown
    Selbstverlag Fachbereich Geowissenschaften, FU Berlin
    In:  Herausgeberexemplar
    Publication Date: 2024-05-03
    Description: Subduktionszonen gehören zu den geologisch aktivsten Regionen der Erde. Viele der Prozesse in diesen Zonen laufen unter der Beteiligung von Fluiden ab und führen zu Aufschmelzung und Vulkanismus. Der Parameter der Absorption seismischer Wellen in der Erde (Kruste, Mantel) wird entscheidend von Größen wie der Temperatur, der Porosität, dem Umgebungsdruck oder der Sättigung mit wässrigen Fluiden oder (partiellen) Schmelzen gesteuert. Er eignet sich demnach hervorragend zur Untersuchung des Zustandes von Kruste und Erdmantel und den Prozessen in einer Subduktionszone. Für die Absorptionsuntersuchungen in der Subduktionszone in den westlichen Zentralen Anden standen die Daten der beiden seismologischen Experimente PISCO ’94 und ANCORP ’96 zur Verfügung. Diese Projekte wurden vom Sonderforschungsbereich 267 ’’Deformationsprozesse in den Anden”, der Freien Universität Berlin und dem GeoForschungsZentrum Potsdam finanziert und gemeinsam mit südamerikanischen Partnern durchgeführt. So wurden in den Jahren 1994 und 1996/97 für jeweils rund 3 Monate seismologische Stationsnetze in Nord-Chile und Süd-Bolivien betrieben, die weite Bereiche des forearc und des magmatischen Bogens sowie Teile des Altiplano zwischen 21° und 24° S umfaßten. Sie registrierten eine große Anzahl überwiegend lokaler Ereignisse aus der Wadati-Benioff-Zone. Für die Absorptionsuntersuchungen konnten insgesamt 904 Ereignisse mit 11.738 P-Phasen des PISCO ’94-Experiments bzw. 686 Ereignisse mit 10.544 P-Phasen des ANCORP ’96- Experiments verwendet werden. Die Berechnung der Absorption der einzelnen Strahlen erfolgte (automatisch) aus den Amplitudenspektren der P-Wellen Einsätze. Es wurde ein Frequenzband von 3 bis maximal 30 Hz analysiert, in dem ein frequenzunabhängiger Qualitätsfaktor Q angenommen wurde. Dabei kamen zwei unterschiedliche Methoden, Spektralverhältnisse und Spektralinversion, zur Anwendung, um der prinzipiellen Schwierigkeit der Trennung von Quell- und Weg-Effekten zu begegnen und Annahmen beispielsweise über die Quellfunktion zu überprüfen. Eine Spektralinversion nach individuellen t*-Operatoren und Plateauwerten und einer für ein Beben gemeinsamen Eckfrequenz konnte erfolgreich angewendet werden. Die so bestimmten Absorptionswerte (t*-Operatoren) wurden für eine damped least squares-Inversion zur Berechnung der dreidimensionalen Absorptionsstruktur im Untergrund verwendet. Das raytracing wurde dabei in den dreidimensionalen Geschwindigkeitsmodellen durchgeführt, um den genauen Strahlverlauf zu berücksichtigen. Die errechneten Modelle erlauben einen detaillierten Einblick in die Subduktionszone der Zentralen Anden. Der Bereich unterhalb des arcs zwischen 21,5° und 24° S ist geprägt von einer prominenten Anomalie geringer Q-Werte, die von der Kruste bis in den oberen Mantel reicht. Große Stationskorrekturen der Stationen im arc und dem Altiplano deuten auf eine Erstreckung bis an die Oberfläche hin. Die krustale Absorption verläuft deckungsgleich mit der Verbreitung des rezenten Vulkanismus. Südlich von 22° S verläuft die Absorptionsanomalie bis in eine Tiefe von 250 km genau oberhalb der abtauchenden Nazca-Platte. Nördlich von 22° S scheint die starke Absorption auf den Bereich oberhalb von ca. 100 km begrenzt. In diesem nördlichen Bereich, in dem generell eine geringere Absorption verzeichnet wird, korrespondiert diese Zone mit dem dort angesiedelten Beben-cluster in ca. 100 km Tiefe; nördlich von 21° S verliert sie sich. Der forearc zeigt sich als relativ homogene, gering absorbierende Struktur mit Q-Werten um 1000; die abtauchende Platte weist ebenfalls hohe Q-Werte auf. Bedingt durch die Lage der Absorptionsanomalien relativ zu den seismologischen Netzen und die damit verbundene geringere Durchstrahlung war eine detaillierte Untersuchung der Auflösung der Modelle notwendig. Dazu wurden die aus der Modellresolutionsmatrix abgeleiteten Größen wie die spread-function berücksichtigt, aber auch synthetische Tests an Modellen mit oszillierenden Strukturen (Schachbrettmustern) und ’’realistischen” Untergrundmodellen vorgenommen. Sie zeigen, daß große Bereiche des forearcs und arcs in den Modellen sehr gut aufgelöst werden. Die gefundenen Anomalien lassen sich unter verschiedenen Gesichtspunkten diskutieren. Die ausgeprägte krustale Absorption unter großen Teilen der Westkordillere läßt sich mit der schon früher abgeleiteten Präsenz partieller Schmelzen erklären. Sie korreliert sehr gut mit der Verteilung des rezenten Vulkanismus, erniedrigten Durchschnittsgeschwindigkeiten, einem erhöhten vp/vs-Verhältnis, z.T. extrem erhöhten elektrischen Leitfähigkeiten und Bereichen, für die anomale Geschwindigkeits-Dichte Relationen angenommen werden müssen. Variationen innerhalb dieser krustalen Anomalien weisen auf eine unterschiedlich ausgeprägte Durchdringung mit partiellen Schmelzen hin. Die Anomalien im oberen Mantel deuten auf ein unterschiedliches Vordringen der heißen Asthenosphäre unter den magmatischen Bogen hin. Darüber hinaus können sie als Bereiche partieller Schmelzen und Fluide interpretiert werden, die Dehydratisierungs- und Hydratisierungsprozesse in dieser Subduktionszone widerspiegeln.
    Description: Subduction zones are among the geologically most active regions of the world. Many processes in these zones take place under the influence of fluids and lead to the generation of melts and volcanism. Attenuation of seismic waves in crust and mantle depends strongly on parameters like temperature, porosity, confining pressure or saturation with hydrous fluids or partial melts. Therefore, this parameter is perfectly suited to examine the state of the crust and mantle in subduction zones. For the attenuation studies in the subduction zone of the western Central Andes datasets of two seismological experiments, PISCO ’94 and ANCORP ’96, were used. These projects were financed by the Collaborative Research Center 267 ’’Deformation Processes in the Andes”, the GeoForschungsZentrum Potsdam and the Department of Geophysics of the Free University of Berlin and were executed in cooperation with partners from South America. In 1994 and 1996/97 two temporary seismological networks were installed in northern Chile and southern Bolivia covering large areas of the forearc, the magmatic arc and the Altiplano between 21° and 24° S. They monitored a large number of earthquakes predominantly situated in the Wadati-Benioff zone. From the PISCO ’94 and ANCORP ’96 datasets 904 events with 11.738 attenuation values respectively 686 events with 10.544 values could be used for the tomography. Whole-path attenuation was (automatically) determined from the amplitude spectra of the F- waves. In a frequency-band between 3 and 30 Hz a frequency-independent Quality-factor Qp was assumed. In order to separate source- and path-effects two different methods were applied, spectral inversion, and spectral ratios relative to a constant reference station. The spectral inversion for individual C-operators and plateau-values and a single source corner frequency for all observations of an event was applied successfully. In a damped least squares approach the t*-operators were inverted for the three-dimensional attenuation structure. To account for the spatial distribution of both velocity and attenuation raytracing was performed in the three-dimensional velocity structure previously derived by simultaneous inversions of travel-time data. The obtained models allow a detailed insight into the subduction zone of the Central Andes. Crust and mantle of the forearc and subducting slab are generally characterized by low attenuation (Qp 〉 1000). Beneath the Western Cordillera, the recent magmatic arc, a prominent attenuation anomaly is found (Qp 〈 100). This anomaly reaches from the uppermost crust down to the upper mantle at a depth of 250 km. North-South variations can be seen: The western flank of the crustal attenuation anomaly is congruent to the curved course of the volcanic front. North of 21° S the attenuation is less developed and dies out north of 20° S. A deeper zone of high attenuation is resolved between 22° and 24° S directly above the subducting slab. In the northern part of the study area the low-Qp-zone penetrates westwards in the forearc-mantle. Due to the irregular ray-coverage of the model a detailed analysis of the resolution was necessary. Both, formal analysis of the model resolution matrix (e.g. via spread-function) and tests with synthetic models including checkerboard and ’’realistic” attenuation models were executed. They show that large areas of the models beneath forearc and arc are well resolved. The anomalies found in the tomographic models can be interpreted in several ways. The prominent crustal attenuation beneath the Western Cordillera can be explained by partial melts previously proposed by others. The anomaly correlates well with the distribution of recent volcanism, reduced seismic velocities, reduced electrical resistivity and regions for which anomalous velocity-density relations must be assumed. Variations within the anomaly point towards the irregular distribution of partial melting beneath the volcanic arc. The anomalies within the upper mantle may map the distribution of hot asthenosphere material. Furthermore, they may be interpreted in terms of subduction-related dehydration- and hydration processes.
    Description: thesis
    Description: DFG, SUB Göttingen
    Keywords: ddc:550 ; Subduktion ; Seismische Welle ; Absorption
    Language: German
    Type: doc-type:book
    Format: 144
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  • 72
    Publication Date: 2024-05-02
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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  • 73
    Publication Date: 2024-05-02
    Keywords: Cibicidoides wuellerstorfi, δ18O; DEPTH, sediment/rock; Isotope ratio mass spectrometry; Lamont-Doherty Earth Observatory, Columbia University; LDEO; PC; Piston corer; V30; V30-51; Vema
    Type: Dataset
    Format: text/tab-separated-values, 45 data points
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  • 74
    Publication Date: 2024-05-02
    Keywords: DEPTH, sediment/rock; Isotope ratio mass spectrometry; Lamont-Doherty Earth Observatory, Columbia University; LDEO; PC; Piston corer; Uvigerina peregrina, δ18O; V25; V25-75; Vema
    Type: Dataset
    Format: text/tab-separated-values, 13 data points
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  • 75
    Publication Date: 2024-05-02
    Keywords: DEPTH, sediment/rock; Globigerinoides ruber white, δ18O; Isotope ratio mass spectrometry; Lamont-Doherty Earth Observatory, Columbia University; LDEO; PC; Piston corer; V32; V32-8; Vema
    Type: Dataset
    Format: text/tab-separated-values, 39 data points
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  • 76
    facet.materialart.
    Unknown
    PANGAEA
    Publication Date: 2024-04-27
    Keywords: Age, 14C AMS; Age, 14C milieu/reservoir corrected; Age, dated; Age, dated standard deviation; ARK-V/3b; AWI_Paleo; DEPTH, sediment/rock; GIK21730-2 PS13/224; Gravity corer (Kiel type); Greenland Sea; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS13 GRÖKORT; PS1730-2; Quaternary Environment of the Eurasian North; QUEEN; SL
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
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  • 77
    Publication Date: 2024-04-20
    Keywords: Ammonium; Analyst; BAH; Calculated (sum of Nitrate, Nitrite, Ammonium); DATE/TIME; Depth of Secchi Disk; Diatoms; Diatoms, biomass as carbon; Flagellates; Flagellates, biomass as carbon; German Bight, North Sea; HelgolandRoads; HelgolandRoads1991; Helgoland Roads Timeseries; Kabeltonne; Kabeltonne, Long-term Ecological Research Helgoland Roads; LTER_Benthos; LTER_HelgolandRoads; Macrobenthic long-term series in the German Bight; Meeresstation Helgoland; Mercury thermometer, in situ; MON; Monitoring; Nitrate; Nitrite; Nitrogen, inorganic, dissolved; Phosphate; Photometer, azo-dye (Bendschneider & Robinson, 1952, J Mar Res, 11:87-96); Photometer, beta-silicomolybdic acid, modified (Carlberg, 1972, ICES Res Rep 29); Photometer, DTT, modified (Grasshoff et al., 1983, Verlag Chemie GmbH Weinheim); Photometer, molybdene blue, reduct ascorbic acid (Grasshoff, 1979, Chemie GmbH); Phytoplankton; Phytoplankton, biomass as carbon; Quantitative phytoplankton method (Utermöhl, 1958); Reduction by copper coated cadmium granulate; Salinity; Salinometer, inductive; Secchi disc; Shelf Seas Systems Ecology @ AWI (former Biologische Anstalt Helgoland); Silicate; Silicon Cycling in the World Ocean; SINOPS; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3824 data points
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  • 78
    Publication Date: 2024-04-20
    Keywords: Ammonium; Analyst; BAH; Calculated (sum of Nitrate, Nitrite, Ammonium); DATE/TIME; Depth of Secchi Disk; Diatoms; Diatoms, biomass as carbon; Flagellates; Flagellates, biomass as carbon; German Bight, North Sea; HelgolandRoads; HelgolandRoads1993; Helgoland Roads Timeseries; Kabeltonne; Kabeltonne, Long-term Ecological Research Helgoland Roads; LTER_Benthos; LTER_HelgolandRoads; Macrobenthic long-term series in the German Bight; Meeresstation Helgoland; Mercury thermometer, in situ; MON; Monitoring; Nitrate; Nitrite; Nitrogen, inorganic, dissolved; Phosphate; Photometer, azo-dye (Bendschneider & Robinson, 1952, J Mar Res, 11:87-96); Photometer, beta-silicomolybdic acid, modified (Carlberg, 1972, ICES Res Rep 29); Photometer, DTT, modified (Grasshoff et al., 1983, Verlag Chemie GmbH Weinheim); Photometer, molybdene blue, reduct ascorbic acid (Grasshoff, 1979, Chemie GmbH); Phytoplankton; Phytoplankton, biomass as carbon; Quantitative phytoplankton method (Utermöhl, 1958); Reduction by copper coated cadmium granulate; Salinity; Salinometer, inductive; Secchi disc; Shelf Seas Systems Ecology @ AWI (former Biologische Anstalt Helgoland); Silicate; Silicon Cycling in the World Ocean; SINOPS; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3888 data points
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  • 79
    Publication Date: 2024-04-20
    Keywords: Ammonium; Analyst; BAH; Calculated (sum of Nitrate, Nitrite, Ammonium); DATE/TIME; Depth of Secchi Disk; Diatoms; Diatoms, biomass as carbon; Flagellates; Flagellates, biomass as carbon; German Bight, North Sea; HelgolandRoads; HelgolandRoads1992; Helgoland Roads Timeseries; Kabeltonne; Kabeltonne, Long-term Ecological Research Helgoland Roads; LTER_Benthos; LTER_HelgolandRoads; Macrobenthic long-term series in the German Bight; Meeresstation Helgoland; Mercury thermometer, in situ; MON; Monitoring; Nitrate; Nitrite; Nitrogen, inorganic, dissolved; Phosphate; Photometer, azo-dye (Bendschneider & Robinson, 1952, J Mar Res, 11:87-96); Photometer, beta-silicomolybdic acid, modified (Carlberg, 1972, ICES Res Rep 29); Photometer, DTT, modified (Grasshoff et al., 1983, Verlag Chemie GmbH Weinheim); Photometer, molybdene blue, reduct ascorbic acid (Grasshoff, 1979, Chemie GmbH); Phytoplankton; Phytoplankton, biomass as carbon; Quantitative phytoplankton method (Utermöhl, 1958); Reduction by copper coated cadmium granulate; Salinity; Salinometer, inductive; Secchi disc; Shelf Seas Systems Ecology @ AWI (former Biologische Anstalt Helgoland); Silicate; Silicon Cycling in the World Ocean; SINOPS; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3936 data points
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  • 80
    Publication Date: 2024-04-20
    Keywords: Akademik Mstislav Keldysh; AMK35; AMK35-3434; AMK35-3453; AMK35-3454; Archive of Ocean Data; ARCOD; Area/locality; Carbon, organic, total; Comment; Elevation of event; Event label; Isotope ratio mass spectrometry; Knopp method; Latitude of event; Longitude of event; Mid-Atlantic Ridge; MIR; MIR deep-sea manned submersible; Sample code/label; δ13C, bitumen; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 35 data points
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  • 81
    Publication Date: 2024-04-20
    Keywords: Ammonium; Analyst; BAH; Calculated (sum of Nitrate, Nitrite, Ammonium); DATE/TIME; Depth of Secchi Disk; Diatoms; Diatoms, biomass as carbon; Flagellates; Flagellates, biomass as carbon; German Bight, North Sea; HelgolandRoads; HelgolandRoads1985; Helgoland Roads Timeseries; Kabeltonne; Kabeltonne, Long-term Ecological Research Helgoland Roads; LTER_Benthos; LTER_HelgolandRoads; Macrobenthic long-term series in the German Bight; Meeresstation Helgoland; Mercury thermometer, in situ; MON; Monitoring; Nitrate; Nitrite; Nitrogen, inorganic, dissolved; Phosphate; Photometer, azo-dye (Bendschneider & Robinson, 1952, J Mar Res, 11:87-96); Photometer, beta-silicomolybdic acid, modified (Carlberg, 1972, ICES Res Rep 29); Photometer, DTT; Photometer, molybdene blue, reduct ascorbic acid (Grasshoff, 1979, Chemie GmbH); Phytoplankton; Phytoplankton, biomass as carbon; Quantitative phytoplankton method (Utermöhl, 1958); Reduction by copper coated cadmium granulate; Salinity; Salinometer, inductive; Secchi disc; Shelf Seas Systems Ecology @ AWI (former Biologische Anstalt Helgoland); Silicate; Silicon Cycling in the World Ocean; SINOPS; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3870 data points
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  • 82
    Publication Date: 2024-04-20
    Keywords: Ammonium; Analyst; BAH; Calculated (sum of Nitrate, Nitrite, Ammonium); DATE/TIME; Depth of Secchi Disk; Diatoms; Diatoms, biomass as carbon; Flagellates; Flagellates, biomass as carbon; German Bight, North Sea; HelgolandRoads; HelgolandRoads1984; Helgoland Roads Timeseries; Kabeltonne; Kabeltonne, Long-term Ecological Research Helgoland Roads; LTER_Benthos; LTER_HelgolandRoads; Macrobenthic long-term series in the German Bight; Meeresstation Helgoland; Mercury thermometer, in situ; MON; Monitoring; Nitrate; Nitrite; Nitrogen, inorganic, dissolved; Phosphate; Photometer, azo-dye (Bendschneider & Robinson, 1952, J Mar Res, 11:87-96); Photometer, beta-silicomolybdic acid, modified (Carlberg, 1972, ICES Res Rep 29); Photometer, DTT; Photometer, molybdene blue, reduct ascorbic acid (Grasshoff, 1979, Chemie GmbH); Phytoplankton; Phytoplankton, biomass as carbon; Quantitative phytoplankton method (Utermöhl, 1958); Reduction by copper coated cadmium granulate; Salinity; Salinometer, inductive; Secchi disc; Shelf Seas Systems Ecology @ AWI (former Biologische Anstalt Helgoland); Silicate; Silicon Cycling in the World Ocean; SINOPS; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3918 data points
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  • 83
    Publication Date: 2024-04-20
    Keywords: Ammonium; Analyst; BAH; Calculated (sum of Nitrate, Nitrite, Ammonium); DATE/TIME; Depth of Secchi Disk; Diatoms; Diatoms, biomass as carbon; Flagellates; Flagellates, biomass as carbon; German Bight, North Sea; HelgolandRoads; HelgolandRoads1986; Helgoland Roads Timeseries; Kabeltonne; Kabeltonne, Long-term Ecological Research Helgoland Roads; LTER_Benthos; LTER_HelgolandRoads; Macrobenthic long-term series in the German Bight; Meeresstation Helgoland; Mercury thermometer, in situ; MON; Monitoring; Nitrate; Nitrite; Nitrogen, inorganic, dissolved; Phosphate; Photometer, azo-dye (Bendschneider & Robinson, 1952, J Mar Res, 11:87-96); Photometer, beta-silicomolybdic acid, modified (Carlberg, 1972, ICES Res Rep 29); Photometer, DTT, modified (Grasshoff et al., 1983, Verlag Chemie GmbH Weinheim); Photometer, molybdene blue, reduct ascorbic acid (Grasshoff, 1979, Chemie GmbH); Phytoplankton; Phytoplankton, biomass as carbon; Quantitative phytoplankton method (Utermöhl, 1958); Reduction by copper coated cadmium granulate; Salinity; Salinometer, inductive; Secchi disc; Shelf Seas Systems Ecology @ AWI (former Biologische Anstalt Helgoland); Silicate; Silicon Cycling in the World Ocean; SINOPS; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3872 data points
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  • 84
    Publication Date: 2024-04-20
    Keywords: Ammonium; Analyst; BAH; Calculated (sum of Nitrate, Nitrite, Ammonium); DATE/TIME; Depth of Secchi Disk; Diatoms; Diatoms, biomass as carbon; Flagellates; Flagellates, biomass as carbon; German Bight, North Sea; HelgolandRoads; HelgolandRoads1987; Helgoland Roads Timeseries; Kabeltonne; Kabeltonne, Long-term Ecological Research Helgoland Roads; LTER_Benthos; LTER_HelgolandRoads; Macrobenthic long-term series in the German Bight; Meeresstation Helgoland; Mercury thermometer, in situ; MON; Monitoring; Nitrate; Nitrite; Nitrogen, inorganic, dissolved; Phosphate; Photometer, azo-dye (Bendschneider & Robinson, 1952, J Mar Res, 11:87-96); Photometer, beta-silicomolybdic acid, modified (Carlberg, 1972, ICES Res Rep 29); Photometer, DTT, modified (Grasshoff et al., 1983, Verlag Chemie GmbH Weinheim); Photometer, molybdene blue, reduct ascorbic acid (Grasshoff, 1979, Chemie GmbH); Phytoplankton; Phytoplankton, biomass as carbon; Quantitative phytoplankton method (Utermöhl, 1958); Reduction by copper coated cadmium granulate; Salinity; Salinometer, inductive; Secchi disc; Shelf Seas Systems Ecology @ AWI (former Biologische Anstalt Helgoland); Silicate; Silicon Cycling in the World Ocean; SINOPS; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3856 data points
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  • 85
    Publication Date: 2024-04-20
    Keywords: Ammonium; Analyst; BAH; Calculated (sum of Nitrate, Nitrite, Ammonium); DATE/TIME; Depth of Secchi Disk; Diatoms; Diatoms, biomass as carbon; Flagellates; Flagellates, biomass as carbon; German Bight, North Sea; HelgolandRoads; HelgolandRoads1988; Helgoland Roads Timeseries; Kabeltonne; Kabeltonne, Long-term Ecological Research Helgoland Roads; LTER_Benthos; LTER_HelgolandRoads; Macrobenthic long-term series in the German Bight; Meeresstation Helgoland; Mercury thermometer, in situ; MON; Monitoring; Nitrate; Nitrite; Nitrogen, inorganic, dissolved; Phosphate; Photometer, azo-dye (Bendschneider & Robinson, 1952, J Mar Res, 11:87-96); Photometer, beta-silicomolybdic acid, modified (Carlberg, 1972, ICES Res Rep 29); Photometer, DTT, modified (Grasshoff et al., 1983, Verlag Chemie GmbH Weinheim); Photometer, molybdene blue, reduct ascorbic acid (Grasshoff, 1979, Chemie GmbH); Phytoplankton; Phytoplankton, biomass as carbon; Quantitative phytoplankton method (Utermöhl, 1958); Reduction by copper coated cadmium granulate; Salinity; Salinometer, inductive; Secchi disc; Shelf Seas Systems Ecology @ AWI (former Biologische Anstalt Helgoland); Silicate; Silicon Cycling in the World Ocean; SINOPS; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3904 data points
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  • 86
    Publication Date: 2024-04-20
    Keywords: Ammonium; Analyst; BAH; Calculated (sum of Nitrate, Nitrite, Ammonium); DATE/TIME; Depth of Secchi Disk; Diatoms; Diatoms, biomass as carbon; Flagellates; Flagellates, biomass as carbon; German Bight, North Sea; HelgolandRoads; HelgolandRoads1989; Helgoland Roads Timeseries; Kabeltonne; Kabeltonne, Long-term Ecological Research Helgoland Roads; LTER_Benthos; LTER_HelgolandRoads; Macrobenthic long-term series in the German Bight; Meeresstation Helgoland; Mercury thermometer, in situ; MON; Monitoring; Nitrate; Nitrite; Nitrogen, inorganic, dissolved; Phosphate; Photometer, azo-dye (Bendschneider & Robinson, 1952, J Mar Res, 11:87-96); Photometer, beta-silicomolybdic acid, modified (Carlberg, 1972, ICES Res Rep 29); Photometer, DTT, modified (Grasshoff et al., 1983, Verlag Chemie GmbH Weinheim); Photometer, molybdene blue, reduct ascorbic acid (Grasshoff, 1979, Chemie GmbH); Phytoplankton; Phytoplankton, biomass as carbon; Quantitative phytoplankton method (Utermöhl, 1958); Reduction by copper coated cadmium granulate; Salinity; Salinometer, inductive; Secchi disc; Shelf Seas Systems Ecology @ AWI (former Biologische Anstalt Helgoland); Silicate; Silicon Cycling in the World Ocean; SINOPS; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3912 data points
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  • 87
    Publication Date: 2024-04-20
    Keywords: Ammonium; Analyst; BAH; Calculated (sum of Nitrate, Nitrite, Ammonium); DATE/TIME; Depth of Secchi Disk; Diatoms; Diatoms, biomass as carbon; Flagellates; Flagellates, biomass as carbon; German Bight, North Sea; HelgolandRoads; HelgolandRoads1979; Helgoland Roads Timeseries; Kabeltonne; Kabeltonne, Long-term Ecological Research Helgoland Roads; LTER_Benthos; LTER_HelgolandRoads; Macrobenthic long-term series in the German Bight; Meeresstation Helgoland; Mercury thermometer, in situ; MON; Monitoring; Nitrate; Nitrite; Nitrogen, inorganic, dissolved; Phosphate; Photometer, azo-dye (Bendschneider & Robinson, 1952, J Mar Res, 11:87-96); Photometer, beta-silicomolybdic acid, modified (Carlberg, 1972, ICES Res Rep 29); Photometer, DTT; Photometer, molybdene blue, reduct ascorbic acid (Grasshoff, 1979, Chemie GmbH); Phytoplankton; Phytoplankton, biomass as carbon; Quantitative phytoplankton method (Utermöhl, 1958); Reduction by copper coated cadmium granulate; Salinity; Salinometer, inductive; Secchi disc; Shelf Seas Systems Ecology @ AWI (former Biologische Anstalt Helgoland); Silicate; Silicon Cycling in the World Ocean; SINOPS; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3695 data points
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  • 88
    Publication Date: 2024-04-20
    Keywords: Ammonium; Analyst; BAH; Calculated (sum of Nitrate, Nitrite, Ammonium); DATE/TIME; Depth of Secchi Disk; Diatoms; Diatoms, biomass as carbon; Flagellates; Flagellates, biomass as carbon; German Bight, North Sea; HelgolandRoads; HelgolandRoads1982; Helgoland Roads Timeseries; Kabeltonne; Kabeltonne, Long-term Ecological Research Helgoland Roads; LTER_Benthos; LTER_HelgolandRoads; Macrobenthic long-term series in the German Bight; Meeresstation Helgoland; Mercury thermometer, in situ; MON; Monitoring; Nitrate; Nitrite; Nitrogen, inorganic, dissolved; Phosphate; Photometer, azo-dye (Bendschneider & Robinson, 1952, J Mar Res, 11:87-96); Photometer, beta-silicomolybdic acid, modified (Carlberg, 1972, ICES Res Rep 29); Photometer, DTT; Photometer, molybdene blue, reduct ascorbic acid (Grasshoff, 1979, Chemie GmbH); Phytoplankton; Phytoplankton, biomass as carbon; Quantitative phytoplankton method (Utermöhl, 1958); Reduction by copper coated cadmium granulate; Salinity; Salinometer, inductive; Secchi disc; Shelf Seas Systems Ecology @ AWI (former Biologische Anstalt Helgoland); Silicate; Silicon Cycling in the World Ocean; SINOPS; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3837 data points
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  • 89
    Publication Date: 2024-04-20
    Keywords: Ammonium; Analyst; BAH; Calculated (sum of Nitrate, Nitrite, Ammonium); DATE/TIME; Depth of Secchi Disk; Diatoms; Diatoms, biomass as carbon; Flagellates; Flagellates, biomass as carbon; German Bight, North Sea; HelgolandRoads; HelgolandRoads1981; Helgoland Roads Timeseries; Kabeltonne; Kabeltonne, Long-term Ecological Research Helgoland Roads; LTER_Benthos; LTER_HelgolandRoads; Macrobenthic long-term series in the German Bight; Meeresstation Helgoland; Mercury thermometer, in situ; MON; Monitoring; Nitrate; Nitrite; Nitrogen, inorganic, dissolved; Phosphate; Photometer, azo-dye (Bendschneider & Robinson, 1952, J Mar Res, 11:87-96); Photometer, beta-silicomolybdic acid, modified (Carlberg, 1972, ICES Res Rep 29); Photometer, DTT; Photometer, molybdene blue, reduct ascorbic acid (Grasshoff, 1979, Chemie GmbH); Phytoplankton; Phytoplankton, biomass as carbon; Quantitative phytoplankton method (Utermöhl, 1958); Reduction by copper coated cadmium granulate; Salinity; Salinometer, inductive; Secchi disc; Shelf Seas Systems Ecology @ AWI (former Biologische Anstalt Helgoland); Silicate; Silicon Cycling in the World Ocean; SINOPS; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3915 data points
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  • 90
    Publication Date: 2024-04-20
    Keywords: Ammonium; Analyst; BAH; Calculated (sum of Nitrate, Nitrite, Ammonium); DATE/TIME; Depth of Secchi Disk; Diatoms; Diatoms, biomass as carbon; Flagellates; Flagellates, biomass as carbon; German Bight, North Sea; HelgolandRoads; HelgolandRoads1980; Helgoland Roads Timeseries; Kabeltonne; Kabeltonne, Long-term Ecological Research Helgoland Roads; LTER_Benthos; LTER_HelgolandRoads; Macrobenthic long-term series in the German Bight; Meeresstation Helgoland; Mercury thermometer, in situ; MON; Monitoring; Nitrate; Nitrite; Nitrogen, inorganic, dissolved; Phosphate; Photometer, azo-dye (Bendschneider & Robinson, 1952, J Mar Res, 11:87-96); Photometer, beta-silicomolybdic acid, modified (Carlberg, 1972, ICES Res Rep 29); Photometer, DTT; Photometer, molybdene blue, reduct ascorbic acid (Grasshoff, 1979, Chemie GmbH); Phytoplankton; Phytoplankton, biomass as carbon; Quantitative phytoplankton method (Utermöhl, 1958); Reduction by copper coated cadmium granulate; Salinity; Salinometer, inductive; Secchi disc; Shelf Seas Systems Ecology @ AWI (former Biologische Anstalt Helgoland); Silicate; Silicon Cycling in the World Ocean; SINOPS; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 4006 data points
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  • 91
    Publication Date: 2024-04-20
    Keywords: Ammonium; Analyst; BAH; Calculated (sum of Nitrate, Nitrite, Ammonium); DATE/TIME; Depth of Secchi Disk; Diatoms; Diatoms, biomass as carbon; Flagellates; Flagellates, biomass as carbon; German Bight, North Sea; HelgolandRoads; HelgolandRoads1983; Helgoland Roads Timeseries; Kabeltonne; Kabeltonne, Long-term Ecological Research Helgoland Roads; LTER_Benthos; LTER_HelgolandRoads; Macrobenthic long-term series in the German Bight; Meeresstation Helgoland; Mercury thermometer, in situ; MON; Monitoring; Nitrate; Nitrite; Nitrogen, inorganic, dissolved; Phosphate; Photometer, azo-dye (Bendschneider & Robinson, 1952, J Mar Res, 11:87-96); Photometer, beta-silicomolybdic acid, modified (Carlberg, 1972, ICES Res Rep 29); Photometer, DTT; Photometer, molybdene blue, reduct ascorbic acid (Grasshoff, 1979, Chemie GmbH); Phytoplankton; Phytoplankton, biomass as carbon; Quantitative phytoplankton method (Utermöhl, 1958); Reduction by copper coated cadmium granulate; Salinity; Salinometer, inductive; Secchi disc; Shelf Seas Systems Ecology @ AWI (former Biologische Anstalt Helgoland); Silicate; Silicon Cycling in the World Ocean; SINOPS; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 4014 data points
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  • 92
    Publication Date: 2024-04-20
    Keywords: Ammonium; Analyst; BAH; Calculated (sum of Nitrate, Nitrite, Ammonium); DATE/TIME; DEPTH, water; Depth of Secchi Disk; Diatoms; Diatoms, biomass as carbon; Flagellates; Flagellates, biomass as carbon; German Bight, North Sea; HelgolandRoads; HelgolandRoads1990; Helgoland Roads Timeseries; Kabeltonne; Kabeltonne, Long-term Ecological Research Helgoland Roads; LTER_Benthos; LTER_HelgolandRoads; Macrobenthic long-term series in the German Bight; Meeresstation Helgoland; Mercury thermometer, in situ; MON; Monitoring; Nitrate; Nitrite; Nitrogen, inorganic, dissolved; Phosphate; Photometer, azo-dye (Bendschneider & Robinson, 1952, J Mar Res, 11:87-96); Photometer, beta-silicomolybdic acid, modified (Carlberg, 1972, ICES Res Rep 29); Photometer, DTT, modified (Grasshoff et al., 1983, Verlag Chemie GmbH Weinheim); Photometer, molybdene blue, reduct ascorbic acid (Grasshoff, 1979, Chemie GmbH); Phytoplankton; Phytoplankton, other, biomass as carbon; Quantitative phytoplankton method (Utermöhl, 1958); Reduction by copper coated cadmium granulate; Salinity; Salinometer, inductive; Secchi disc; Shelf Seas Systems Ecology @ AWI (former Biologische Anstalt Helgoland); Silicate; Silicon Cycling in the World Ocean; SINOPS; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3887 data points
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  • 93
    Publication Date: 2024-04-18
    Keywords: ADEPD; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; Calculated from profiles, ex situ; CD92A; CD92A_N1500; CD92A_N2000; CD92A_R1000; CD92A_S700; Charles Darwin; DEPTH, sediment/rock; Elevation of event; Event label; Latitude of event; Longitude of event; MUC; MultiCorer; Oxygen, flux, sediment oxygen demand
    Type: Dataset
    Format: text/tab-separated-values, 4 data points
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  • 94
    Publication Date: 2024-04-18
    Keywords: Adenylates, total; ADEPD; ARK-XIII/2; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; Bacteria, abundance; Bacteria, biomass as carbon; Calculated; Chlorophyll a; Chlorophyll pigment equivalents; Deoxyribonucleic acid per volume; DEPTH, sediment/rock; East Greenland continental slope; Elevation of event; Esterase activity per sediment volume; Event label; Fluorometry; Latitude of event; Longitude of event; Meiofauna, abundance of metazoa; MUC; MultiCorer; Phaeopigments; Phospholipids; Polarstern; Porosity; Protein per sediment volume; Proteolytic enzyme activity of protein; PS2829-6; PS2830-10; PS2831-9; PS2832-14; PS2833-7; PS2834-7; PS2835-1; PS2836-9; PS2837-9; PS2838-10; PS2839-7; PS2840-5; PS2841-7; PS2844-2; PS2847-4; PS2848-4; PS2849-9; PS2851-3; PS2853-10; PS2855-10; PS2856-8; PS2857-11; PS2858-7; PS2859-12; PS2860-8; PS2861-12; PS2862-7; PS2867-9; PS2868-6; PS44; PS44/055; PS44/057; PS44/058; PS44/059; PS44/060; PS44/062; PS44/063; PS44/064; PS44/065; PS44/067; PS44/068; PS44/069; PS44/070; PS44/072B; PS44/076; PS44/077; PS44/079; PS44/082; PS44/084; PS44/087; PS44/088; PS44/089; PS44/090; PS44/091; PS44/092; PS44/093A; PS44/094; PS44/099; PS44/100; Quaternary Environment of the Eurasian North; QUEEN; W Spitzbergen; Yermak Plateau
    Type: Dataset
    Format: text/tab-separated-values, 1680 data points
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  • 95
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    Unknown
    PANGAEA
    In:  Supplement to: Pfannkuche, Olaf; Boetius, Antje; Lundgreen, Ulrich; Lochte, Karin; Thiel, Hjalmar (1999): Responses of deep-sea benthos to sedimentation patterns in the North-East Atlantic in 1992. Deep Sea Research Part I: Oceanographic Research Papers, 46(4), 573-596, https://doi.org/10.1016/S0967-0637(98)00081-8
    Publication Date: 2024-04-18
    Description: In an extended deep-sea study the response of the benthic community to seasonally varying sedimentation rates of organic matter were investigated at a fixed abyssal site in the NE Atlantic (BIOTRANS station or JGOFS station L2 at 47°N-20°W, water depth 〉4500 m) on four legs of METEOR expedition 21 between March and August 1992. The vertical flux at 3500 m depth and temporal variations in the chloroplastic pigment concentration, a measure of phytodetritus deposition, and of total adenylates and total phospholipids, measures of benthic biomass, and of activity of hydrolytic enzymes were observed. The flux patterns in moored sediment traps of total chlorophyll, POC and total flux showed an early sedimentation peak in March/April 1992, followed by low fluxes in May and intermediate ones from June to August. Thus 1992 differed from other years, in which one large flux peak after the spring phytoplankton bloom was observed. Unusually high concentrations of chloroplastic pigments were consistently observed in March 1992, reflecting the early sedimentation input. At the same time biomass of small benthic organisms (bacteria to meiobenthos) and activity of hydrolytic enzymes were higher compared to values from March 1985 and from the following months in 1992. In May and August 1992 pigment concentrations and biomass and activity parameters in the sediment were lower than during previously observed depositions of phytodetrital matter in summer. The data imply that the deep ocean benthic community reacts to small sedimentation events with transient increases in metabolic activity and only small biomass production. The coupling between pelagic and benthic processes is so close that interannual variability in surface water production is "mirrored" by deep-sea benthic processes.
    Keywords: ADEPD; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; Biotrans; Iceland Basin; JGOFS; Joint Global Ocean Flux Study; M21/1; M21/1_MC373; M21/1_MC375; M21/1_MC376; M21/1_MC378; M21/1_MC379; M21/1_MC380; M21/1_MC381; M21/1_MC382; M21/1_MC383; M21/1_MC386; M21/1_MC387; M21/1_MC388; M21/1_MC389; M21/1_MC390; M21/1_MC391; M21/2; M21/2_MC394; M21/2_MC395; M21/2_MC396; M21/2_MC398; M21/2_MC399; M21/2_MC400; M21/3; M21/3_MC401; M21/3_MC402; M21/3_MC403; M21/3_MC404; M21/3_MC405; M21/3_MC407; M21/3_MC408; M21/3_MC409; M21/3_MC415; M21/3_MC416; M21/3_MC417; M21/6; M21/6_MC424; M21/6_MC426; M21/6_MC434; M21/6_MC435; M21/6_MC439; M21/6_MC446; M21/6_MC447; M21/6_MC448; M21/6_MC452; M21/6_MC454; M21/6_MC456; M27/2; M27/2_MC358; M27/2_MC469; M27/2_MC470; M27/2_MC471; M27/2_MC472; Madeira Basin; Meteor (1986); MUC; MultiCorer
    Type: Dataset
    Format: application/zip, 66 datasets
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  • 96
    Publication Date: 2024-04-18
    Keywords: ADEPD; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; Chlorophyll a; Confidence; Date/Time of event; DEPTH, sediment/rock; Elevation of event; Event label; Iceland Basin; Latitude of event; Longitude of event; M21/1; M21/1_MC373; M21/1_MC375; M21/1_MC376; M21/1_MC379; M21/1_MC381; M21/1_MC382; M21/1_MC388; M21/1_MC389; M21/1_MC390; M21/2; M21/2_MC394; M21/2_MC395; M21/2_MC396; M21/2_MC398; M21/2_MC399; M21/2_MC400; M21/3; M21/3_MC401; M21/3_MC402; M21/3_MC403; M21/3_MC408; M21/3_MC409; M21/3_MC415; M21/3_MC416; M21/3_MC417; Madeira Basin; Meteor (1986); MUC; MultiCorer; Student_s t
    Type: Dataset
    Format: text/tab-separated-values, 313 data points
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  • 97
    Publication Date: 2024-04-18
    Keywords: ADEPD; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; Confidence; DEPTH, sediment/rock; M21/1; M21/1_MC382; Meteor (1986); MUC; MultiCorer; Phaeopigments; Student_s t
    Type: Dataset
    Format: text/tab-separated-values, 14 data points
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  • 98
    Publication Date: 2024-04-18
    Keywords: ADEPD; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; Confidence; DEPTH, sediment/rock; M21/1; M21/1_MC379; Meteor (1986); MUC; MultiCorer; Phaeopigments; Student_s t
    Type: Dataset
    Format: text/tab-separated-values, 14 data points
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  • 99
    Publication Date: 2024-04-18
    Keywords: ADEPD; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; Confidence; DEPTH, sediment/rock; M21/1; M21/1_MC390; Meteor (1986); MUC; MultiCorer; Phaeopigments; Student_s t
    Type: Dataset
    Format: text/tab-separated-values, 14 data points
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  • 100
    Publication Date: 2024-04-18
    Keywords: ADEPD; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; Confidence; DEPTH, sediment/rock; M21/2; M21/2_MC394; Meteor (1986); MUC; MultiCorer; Phaeopigments; Student_s t
    Type: Dataset
    Format: text/tab-separated-values, 14 data points
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