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  • 1
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    A new modern analogue reference dataset and its application to the 430-kyr pollen record from Lake Biwa
    PANGAEA
    In:  Supplement to: Tarasov, Pavel E; Nakagawa, Takeshi; Demske, Dieter; Österle, Hermann; Igarashi, Yaeko; Kitagawa, Junko; Mokhova, Lyudmila M; Bazarova, Valentina B; Okuda, Masaaki; Gotanda, Katsuya; Miyoshi, Norio; Fujiki, Toshiyuki; Takemura, Keiji; Yonenobu, Hitoshi; Fleck, Andreas (2011): Progress in the reconstruction of Quaternary climate dynamics in the Northwest Pacific: A new modern analogue reference dataset and its application to the 430-kyr pollen record from Lake Biwa. Earth-Science Reviews, 108(1-2), 64-79, https://doi.org/10.1016/j.earscirev.2011.06.002
    Details
    Publication Date: 2023-05-12
    Description: This study presents a newly compiled dataset of modern pollen and climate data from 798 sites across Japan and the Russian Far East. This comprehensive reference dataset combined with the modern analogue technique (MAT) provides a powerful tool for pollen-based reconstruction of the Quaternary Northwest Pacific climate. Pollen-derived reconstruction of the modern climate at the reference pollen-sampling sites matches well with the estimated modern climate values (R2 values vary between 0.79 and 0.95, and RMSEP values vary between 5.8 and 9.7% of the modern climatic range for all nine tested variables). The successful testing of the method encourages its application to the fossil pollen records. We used a coarse-resolution pollen record from Lake Biwa to reconstruct glacial-interglacial climate dynamics in central Japan since ~438 kyr and compared it to the earlier reconstruction based on a less representative reference dataset. The current and earlier results consistently demonstrate that the coldest glacial intervals experienced pronounced cooling in winter and moderate cooling in summer, supporting the growth of cool mixed forest (COMX) where warm mixed forest (WAMX) predominates today. During the last glacial, maximum (~24 kyr BP) mean temperatures of the coldest (MTCO) and warmest (MTWA) month were about -13 °C (RMSEP = 2.34 °C) and 21 °C (RMSEP = 1.66 °C) respectively, and annual precipitation (PANN) was about 800 mm (RMSEP = 158.06 mm). During the thermal optimums of the interglacial intervals, the temperatures of the coldest and warmest month were above 0 °C and 25 °C respectively, leading to the reconstruction of WAMX and temperate conifer forest (TECO). Although both these vegetation types grow in the southern part of Japan today, WAMX requires warmer space. The presence of WAMX during marine isotope stages (MIS) 11 and 1, and its absence during MIS 9 and MIS 5 contradict the marine isotope and Antarctic ice records, suggesting that the latter two interglacials were the warmest of the last 800 kyr. The apparent contradiction allows at least three different explanations including low temporal resolution of the pollen record; different trends in CO2 concentrations during 'short' and 'long' interglacials; and regional climate variability and non-linear response of different regions to the global forcing. More definitive conclusions will be possible on the basis of forthcoming high-resolution pollen records from central Japan.
    Type: Dataset
    Format: application/zip, 4 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 2
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    (Table S4) Reconstructed climate variables derived from the Lake Biwa pollen record
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Keywords: AGE; DRILL; Drilling/drill rig; Japan; Lake_Biwa; Modern analog technique (MAT); Number of analogues; Precipitation, annual mean; Precipitation, annual mean, maximum; Precipitation, annual mean, minimum; Precipitation, Apr-Sep; Precipitation, Apr-Sep, maximum; Precipitation, Apr-Sep, minimum; Precipitation, Oct-Mar; Precipitation, Oct-Mar, maximum; Precipitation, Oct-Mar, minimum; Temperature, annual mean; Temperature, annual mean, maximum; Temperature, annual mean, minimum; Temperature, coldest month; Temperature, coldest month, maximum; Temperature, coldest month, minimum; Temperature, difference; Temperature, difference, maximum; Temperature, difference, minimum; Temperature, warmest month; Temperature, warmest month, maximum; Temperature, warmest month, minimum; Temperature coldness index; Temperature coldness index, maximum; Temperature coldness index, minimum; Temperature warmth index; Temperature warmth index, maximum; Temperature warmth index, minium
    Type: Dataset
    Format: text/tab-separated-values, 3780 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 3
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    (Table S1) Modern climate variables of 798 modern surface pollen sampling sites
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Keywords: AMUR1; AMUR10; AMUR11; AMUR12; AMUR13; AMUR14; AMUR15; AMUR16; AMUR17; AMUR18; AMUR19; AMUR2; AMUR20; AMUR21; AMUR22; AMUR23; AMUR24; AMUR25; AMUR26; AMUR27; AMUR28; AMUR29; AMUR3; AMUR31; AMUR32; AMUR33; AMUR34; AMUR35; AMUR36; AMUR37; AMUR38; AMUR39; AMUR4; AMUR40; AMUR43; AMUR44; AMUR45; AMUR46; AMUR47; AMUR48; AMUR49; AMUR5; AMUR50; AMUR51; AMUR52; AMUR53; AMUR54; AMUR55; AMUR56; AMUR57; AMUR6; AMUR7; AMUR8; AMUR9; China; DEPTH, sediment/rock; Elevation of event; Estimated by Polygon 2.3.3; Event label; Hand corer; HCOR; HOKK_02; HOKK_05; HOKK_07; HOKK_08; HOKK_10; HOKK_11; HOKK_14; Japan; Jss-001; Jss-002; Jss-003; Jss-004; Jss-005; Jss-006; Jss-007; Jss-008; Jss-009; Jss-010; Jss-011; Jss-012; Jss-013; Jss-014; Jss-015; Jss-016; Jss-017; Jss-018; Jss-019; Jss-020; Jss-021; Jss-022; Jss-023; Jss-024; Jss-025; Jss-026; Jss-027; Jss-028; Jss-029; Jss-030; Jss-031; Jss-032; Jss-033; Jss-034; Jss-035; Jss-036; Jss-037; Jss-038; Jss-039; Jss-040; Jss-041; Jss-042; Jss-043; Jss-044; Jss-045; Jss-046; Jss-047; Jss-048; Jss-049; Jss-050; Jss-051; Jss-052; Jss-053; Jss-054; Jss-055; Jss-056; Jss-057; Jss-058; Jss-059; Jss-060; Jss-061; Jss-062; Jss-063; Jss-064; Jss-065; Jss-066; Jss-067; Jss-068; Jss-069; Jss-070; Jss-071; Jss-072; Jss-073; Jss-074; Jss-075; Jss-076; Jss-077; Jss-078; Jss-079; Jss-080; Jss-081; Jss-082; Jss-083; Jss-084; Jss-085; Jss-086; Jss-087; Jss-088; Jss-089; Jss-090; Jss-091; Jss-092; Jss-093; Jss-094; Jss-095; Jss-096; Jss-097; Jss-098; Jss-099; Jss-100; Jss-101; Jss-102; Jss-103; Jss-104; Jss-105; Jss-106; Jss-107; Jss-108; Jss-109; Jss-110; Jss-111; Jss-112; Jss-113; Jss-114; Jss-115; Jss-116; Jss-117; Jss-118; Jss-119; Jss-120; Jss-121; Jss-122; Jss-123; Jss-124; Jss-125; Jss-126; Jss-127; Jss-128; Jss-129; Jss-130; Jss-131; Jss-132; Jss-133; Jss-134; Jss-135; Jss-136; Jss-137; Jss-138; Jss-139; Jss-140; Jss-141; Jss-142; Jss-143; Jss-144; Jss-145; Jss-146; Jss-147; Jss-148; Jss-149; Jss-150; Jss-151; Jss-152; Jss-153; Jss-154; Jss-155; Jss-156; Jss-157; Jss-158; Jss-159; Jss-160; Jss-161; Jss-162; Jss-163; Jss-164; Jss-165; Jss-166; Jss-167; Jss-168; Jss-169; Jss-170; Jss-171; Jss-172; Jss-173; Jss-174; Jss-175; Jss-176; Jss-177; Jss-178; Jss-179; Jss-180; Jss-181; Jss-182; Jss-183; Jss-184; Jss-185; Jss-186; Jss-187; Jss-188; Jss-189; Jss-190; Jss-191; Jss-192; Jss-193; Jss-194; Jss-195; Jss-196; Jss-197; Jss-198; Jss-199; Jss-200; Jss-201; Jss-202; Jss-203; Jss-204; Jss-205; Jss-206; Jss-207; Jss-208; Jss-209; Jss-210; Jss-211; Jss-212; Jss-213; Jss-214; Jss-215; Jss-216; Jss-217; Jss-218; Jss-219; Jss-220; Jss-221; Jss-222; Jss-223; Jss-224; Jss-225; Jss-226; Jss-227; Jss-228; Jss-229; Jss-230; Jss-231; Jss-232; Jss-233; Jss-234; Jss-235; Jss-236; Jss-237; Jss-238; Jss-239; Jss-240; Jss-241; Jss-242; Jss-243; Jss-244; Jss-245; Jss-246; Jss-247; Jss-248; Jss-249; Jss-250; Jss-251; Jss-252; Jss-253; Jss-254; Jss-255; Jss-256; Jss-257; Jss-258; Jss-259; Jss-260; Jss-261; Jss-262; Jss-263; Jss-264; Jss-265; Jss-266; Jss-267; Jss-268; Jss-269; Jss-270; Jss-271; Jss-272; Jss-273; Jss-274; Jss-275; Jss-276; Jss-277; Jss-278; Jss-279; Jss-280; Jss-281; Jss-282; Jss-283; Jss-284; Jss-285; Jun-286; Jun-287; Jun-288; Jun-289; Jun-290; Jun-291; Jun-292; Jun-293; Jun-294; Jun-295; Jun-296; Jun-297; Jun-298; Jun-299; Jun-300; Jun-301; Jun-302; Jun-303; Jun-304; Jun-305; Jun-306; Jun-307; Jun-308; Jun-310; Jun-311; Jun-312; Jun-313; Jun-314; Jun-315; Jun-316; Jun-317; Jun-318; Jun-319; Jun-320; Jun-321; Jun-322; Jun-323; Jun-324; Jun-325; Jun-326; Jun-327; Jun-328; KUNASH1; KUNASH2; KUNASH3; KUNASH4; KUNASH5; KUNASH6; KUNASH7; KUNASH8; Latitude of event; Longitude of event; MOKH1; MOKH10; MOKH100; MOKH101; MOKH102; MOKH103; MOKH104; MOKH105; MOKH106; MOKH107; MOKH108; MOKH109; MOKH11; MOKH110; MOKH111; MOKH112; MOKH113; MOKH114; MOKH115; MOKH116; MOKH117; MOKH118; MOKH119; MOKH12; MOKH120; MOKH121; MOKH122; MOKH123; MOKH124; MOKH125; MOKH126; MOKH127; MOKH128; MOKH129; MOKH13; MOKH130; MOKH131; MOKH133; MOKH134; MOKH135; MOKH136; MOKH137; MOKH138; MOKH139; MOKH14; MOKH140; MOKH141; MOKH142; MOKH143; MOKH144; MOKH145; MOKH146; MOKH147; MOKH148; MOKH149; MOKH15; MOKH150; MOKH151; MOKH152; MOKH153; MOKH154; MOKH155; MOKH156; MOKH157; MOKH158; MOKH159; MOKH16; MOKH160; MOKH161; MOKH162; MOKH163; MOKH164; MOKH165; MOKH166; MOKH167; MOKH168; MOKH169; MOKH17; MOKH170; MOKH171; MOKH172; MOKH173; MOKH174; MOKH175; MOKH176; MOKH177; MOKH178; MOKH18; MOKH180; MOKH181; MOKH182; MOKH183; MOKH184; MOKH185; MOKH186; MOKH187; MOKH188; MOKH189; MOKH19; MOKH194; MOKH195; MOKH196; MOKH197; MOKH199; MOKH2; MOKH200; MOKH202; MOKH204; MOKH206; MOKH207; MOKH208; MOKH209; MOKH21; MOKH210; MOKH211; MOKH212; MOKH213; MOKH214; MOKH215; MOKH216; MOKH217; MOKH218; MOKH219; MOKH22; MOKH220; MOKH221; MOKH223; MOKH224; MOKH225; MOKH226; MOKH227; MOKH228; MOKH23; MOKH231; MOKH233; MOKH234; MOKH237; MOKH238; MOKH239; MOKH24; MOKH240; MOKH241; MOKH242; MOKH25; MOKH26; MOKH27; MOKH28; MOKH29; MOKH3; MOKH30; MOKH31; MOKH32; MOKH33; MOKH34; MOKH35; MOKH36; MOKH38; MOKH39; MOKH40; MOKH41; MOKH42; MOKH43; MOKH44; MOKH45; MOKH46; MOKH47; MOKH48; MOKH49; MOKH50; MOKH51; MOKH53; MOKH54; MOKH55; MOKH56; MOKH59; MOKH6; MOKH60; MOKH61; MOKH62; MOKH63; MOKH64; MOKH65; MOKH66; MOKH67; MOKH68; MOKH69; MOKH7; MOKH71; MOKH72; MOKH73; MOKH75; MOKH76; MOKH77; MOKH78; MOKH79; MOKH8; MOKH80; MOKH81; MOKH82; MOKH83; MOKH84; MOKH85; MOKH86; MOKH87; MOKH88; MOKH89; MOKH9; MOKH91; MOKH92; MOKH93; MOKH94; MOKH95; MOKH96; MOKH97; MOKH98; MOKH99; Oku-013; Oku-014; Oku-015; Oku-016; Oku-017; Oku-018; Oku-019; Oku-020; Oku-021; Oku-022; Oku-023; Oku-024; Oku-025; Oku-026; Oku-027; Oku-028; Oku-029; Oku-030; Oku-031; Oku-035; Oku-036; Oku-037; Oku-038; Oku-039; Oku-040; Oku-041; Oku-042; Oku-043; Oku-044; Oku-045; Oku-046; Oku-047; Oku-048; Oku-051; Oku-052; Oku-053; Oku-054; Oku-055; Oku-056; Oku-057; Oku-058; Oku-059; Oku-060; Oku-061; Oku-062; Oku-063; Oku-064; Oku-065; Oku-066; Oku-067; Oku-068; Oku-069; Oku-070; Oku-071; Oku-072; Oku-073; Oku-074; Oku-075; Oku-076; Oku-077; Oku-078; Oku-079; Oku-080; Oku-081; Oku-082; Oku-083; Oku-084; Oku-085; Oku-086; Oku-087; Oku-088; Oku-089; Oku-090; Oku-091; Oku-092; Oku-093; Oku-094; Oku-095; Oku-096; Oku-097; Oku-098; Oku-099; Oku-100; Oku-101; Oku-102; Oku-103; Oku-105; Oku-106; Oku-107; Oku-108; Oku-109; Oku-110; Oku-111; Oku-112; Pav_1; Pav_10; Pav_11; Pav_12; Pav_13a; Pav_13b; Pav_14; Pav_15; Pav_16; Pav_17; Pav_18; Pav_19; Pav_2; Pav_20; Pav_21; Pav_22; Pav_23; Pav_24; Pav_25; Pav_3a; Pav_3b; Pav_3c; Pav_3d; Pav_4a; Pav_4b; Pav_4c; Pav_5; Pav_6; Pav_7; Pav_8; Pav_9; Pav_H12-1; Pav_H13-1; Pav_H13-2; Pav_H13-2(2); Pav_H13-3; Pav_H14-1; Pav_H14-2; Pav_H17-1; Pav_H17-2; Pav_H19-1; Pav_H19-2; Pav_H19-3; Pav_H19-4; Pav_H19-4bis; Pav_H19-5; Pav_H19-6; Pav_H20-1; Pav_H20-2; Pav_H20-3; Pav_H20-4; Pav_H20-5; Pav_H20-6; Precipitation, annual mean; Precipitation, Apr-Sep; Precipitation, Oct-Mar; Russia; SAKH_01; SAKH_03; SAKH_04; SAKH_06; SAKH_08; SAKH_10; SAKH_11; SAKH_13; SAKH_15; SAKH_17; SAKH_19; SAKH_21; SAKH_23; SAKH_25; SAKH_26; SAKH_28; SAKH_29; SAKH_31; SAKH_33; SAKH_35; SAKH_36; SAKH_37; SAKH_39; SAKH_40; SAKH_41; SAKH_43; SAKH_45; SAKH_47; SAKH_49; SAKH_51; SAKH_53; SAKH_54; SAKH_55; SAKH_57; SAKH_58; SAKH_59; SAKH_61; SAKH_62; SAKH_63; Temperature, annual mean; Temperature, coldest month; Temperature, difference; Temperature, warmest month; Temperature coldness index; Temperature gradient; Temperature warmth index
    Type: Dataset
    Format: text/tab-separated-values, 7980 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 4
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    (Table S3) Modern climate variables at the modern surface pollen sites reconstructed using modern-analogue technique and reference pollen-climate dataset
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Keywords: AMUR1; AMUR10; AMUR11; AMUR12; AMUR13; AMUR14; AMUR15; AMUR16; AMUR17; AMUR18; AMUR19; AMUR2; AMUR20; AMUR21; AMUR22; AMUR23; AMUR24; AMUR25; AMUR26; AMUR27; AMUR28; AMUR29; AMUR3; AMUR31; AMUR32; AMUR33; AMUR34; AMUR35; AMUR36; AMUR37; AMUR38; AMUR39; AMUR4; AMUR40; AMUR43; AMUR44; AMUR45; AMUR46; AMUR47; AMUR48; AMUR49; AMUR5; AMUR50; AMUR51; AMUR52; AMUR53; AMUR54; AMUR55; AMUR56; AMUR57; AMUR6; AMUR7; AMUR8; AMUR9; China; DEPTH, sediment/rock; Event label; Hand corer; HCOR; HOKK_02; HOKK_05; HOKK_07; HOKK_08; HOKK_10; HOKK_11; HOKK_14; Japan; Jss-001; Jss-002; Jss-003; Jss-004; Jss-005; Jss-006; Jss-007; Jss-008; Jss-009; Jss-010; Jss-011; Jss-012; Jss-013; Jss-014; Jss-015; Jss-016; Jss-017; Jss-018; Jss-019; Jss-020; Jss-021; Jss-022; Jss-023; Jss-024; Jss-025; Jss-026; Jss-027; Jss-028; Jss-029; Jss-030; Jss-031; Jss-032; Jss-033; Jss-034; Jss-035; Jss-036; Jss-037; Jss-038; Jss-039; Jss-040; Jss-041; Jss-042; Jss-043; Jss-044; Jss-045; Jss-046; Jss-047; Jss-048; Jss-049; Jss-050; Jss-051; Jss-052; Jss-053; Jss-054; Jss-055; Jss-056; Jss-057; Jss-058; Jss-059; Jss-060; Jss-061; Jss-062; Jss-063; Jss-064; Jss-065; Jss-066; Jss-067; Jss-068; Jss-069; Jss-070; Jss-071; Jss-072; Jss-073; Jss-074; Jss-075; Jss-076; Jss-077; Jss-078; Jss-079; Jss-080; Jss-081; Jss-082; Jss-083; Jss-084; Jss-085; Jss-086; Jss-087; Jss-088; Jss-089; Jss-090; Jss-091; Jss-092; Jss-093; Jss-094; Jss-095; Jss-096; Jss-097; Jss-098; Jss-099; Jss-100; Jss-101; Jss-102; Jss-103; Jss-104; Jss-105; Jss-106; Jss-107; Jss-108; Jss-109; Jss-110; Jss-111; Jss-112; Jss-113; Jss-114; Jss-115; Jss-116; Jss-117; Jss-118; Jss-119; Jss-120; Jss-121; Jss-122; Jss-123; Jss-124; Jss-125; Jss-126; Jss-127; Jss-128; Jss-129; Jss-130; Jss-131; Jss-132; Jss-133; Jss-134; Jss-135; Jss-136; Jss-137; Jss-138; Jss-139; Jss-140; Jss-141; Jss-142; Jss-143; Jss-144; Jss-145; Jss-146; Jss-147; Jss-148; Jss-149; Jss-150; Jss-151; Jss-152; Jss-153; Jss-154; Jss-155; Jss-156; Jss-157; Jss-158; Jss-159; Jss-160; Jss-161; Jss-162; Jss-163; Jss-164; Jss-165; Jss-166; Jss-167; Jss-168; Jss-169; Jss-170; Jss-171; Jss-172; Jss-173; Jss-174; Jss-175; Jss-176; Jss-177; Jss-178; Jss-179; Jss-180; Jss-181; Jss-182; Jss-183; Jss-184; Jss-185; Jss-186; Jss-187; Jss-188; Jss-189; Jss-190; Jss-191; Jss-192; Jss-193; Jss-194; Jss-195; Jss-196; Jss-197; Jss-198; Jss-199; Jss-200; Jss-201; Jss-202; Jss-203; Jss-204; Jss-205; Jss-206; Jss-207; Jss-208; Jss-209; Jss-210; Jss-211; Jss-212; Jss-213; Jss-214; Jss-215; Jss-216; Jss-217; Jss-218; Jss-219; Jss-220; Jss-221; Jss-222; Jss-223; Jss-224; Jss-225; Jss-226; Jss-227; Jss-228; Jss-229; Jss-230; Jss-231; Jss-232; Jss-233; Jss-234; Jss-235; Jss-236; Jss-237; Jss-238; Jss-239; Jss-240; Jss-241; Jss-242; Jss-243; Jss-244; Jss-245; Jss-246; Jss-247; Jss-248; Jss-249; Jss-250; Jss-251; Jss-252; Jss-253; Jss-254; Jss-255; Jss-256; Jss-257; Jss-258; Jss-259; Jss-260; Jss-261; Jss-262; Jss-263; Jss-264; Jss-265; Jss-266; Jss-267; Jss-268; Jss-269; Jss-270; Jss-271; Jss-272; Jss-273; Jss-274; Jss-275; Jss-276; Jss-277; Jss-278; Jss-279; Jss-280; Jss-281; Jss-282; Jss-283; Jss-284; Jss-285; Jun-286; Jun-287; Jun-288; Jun-289; Jun-290; Jun-291; Jun-292; Jun-293; Jun-294; Jun-295; Jun-296; Jun-297; Jun-298; Jun-299; Jun-300; Jun-301; Jun-302; Jun-303; Jun-304; Jun-305; Jun-306; Jun-307; Jun-308; Jun-310; Jun-311; Jun-312; Jun-313; Jun-314; Jun-315; Jun-316; Jun-317; Jun-318; Jun-319; Jun-320; Jun-321; Jun-322; Jun-323; Jun-324; Jun-325; Jun-326; Jun-327; Jun-328; KUNASH1; KUNASH2; KUNASH3; KUNASH4; KUNASH5; KUNASH6; KUNASH7; KUNASH8; Modern analog technique (MAT); MOKH1; MOKH10; MOKH100; MOKH101; MOKH102; MOKH103; MOKH104; MOKH105; MOKH106; MOKH107; MOKH108; MOKH109; MOKH11; MOKH110; MOKH111; MOKH112; MOKH113; MOKH114; MOKH115; MOKH116; MOKH117; MOKH118; MOKH119; MOKH12; MOKH120; MOKH121; MOKH122; MOKH123; MOKH124; MOKH125; MOKH126; MOKH127; MOKH128; MOKH129; MOKH13; MOKH130; MOKH131; MOKH133; MOKH134; MOKH135; MOKH136; MOKH137; MOKH138; MOKH139; MOKH14; MOKH140; MOKH141; MOKH142; MOKH143; MOKH144; MOKH145; MOKH146; MOKH147; MOKH148; MOKH149; MOKH15; MOKH150; MOKH151; MOKH152; MOKH153; MOKH154; MOKH155; MOKH156; MOKH157; MOKH158; MOKH159; MOKH16; MOKH160; MOKH161; MOKH162; MOKH163; MOKH164; MOKH165; MOKH166; MOKH167; MOKH168; MOKH169; MOKH17; MOKH170; MOKH171; MOKH172; MOKH173; MOKH174; MOKH175; MOKH176; MOKH177; MOKH178; MOKH18; MOKH180; MOKH181; MOKH182; MOKH183; MOKH184; MOKH185; MOKH186; MOKH187; MOKH188; MOKH189; MOKH19; MOKH194; MOKH195; MOKH196; MOKH197; MOKH199; MOKH2; MOKH200; MOKH202; MOKH204; MOKH206; MOKH207; MOKH208; MOKH209; MOKH21; MOKH210; MOKH211; MOKH212; MOKH213; MOKH214; MOKH215; MOKH216; MOKH217; MOKH218; MOKH219; MOKH22; MOKH220; MOKH221; MOKH223; MOKH224; MOKH225; MOKH226; MOKH227; MOKH228; MOKH23; MOKH231; MOKH233; MOKH234; MOKH237; MOKH238; MOKH239; MOKH24; MOKH240; MOKH241; MOKH242; MOKH25; MOKH26; MOKH27; MOKH28; MOKH29; MOKH3; MOKH30; MOKH31; MOKH32; MOKH33; MOKH34; MOKH35; MOKH36; MOKH38; MOKH39; MOKH41; MOKH42; MOKH43; MOKH44; MOKH45; MOKH46; MOKH47; MOKH48; MOKH49; MOKH50; MOKH51; MOKH53; MOKH54; MOKH55; MOKH56; MOKH59; MOKH6; MOKH60; MOKH61; MOKH62; MOKH63; MOKH64; MOKH65; MOKH66; MOKH67; MOKH68; MOKH69; MOKH7; MOKH71; MOKH72; MOKH73; MOKH75; MOKH76; MOKH77; MOKH78; MOKH79; MOKH8; MOKH80; MOKH81; MOKH82; MOKH83; MOKH84; MOKH85; MOKH86; MOKH87; MOKH88; MOKH89; MOKH9; MOKH91; MOKH92; MOKH93; MOKH94; MOKH95; MOKH96; MOKH97; MOKH98; MOKH99; Number of analogues; Oku-013; Oku-014; Oku-015; Oku-016; Oku-017; Oku-018; Oku-019; Oku-020; Oku-021; Oku-022; Oku-023; Oku-024; Oku-025; Oku-026; Oku-027; Oku-028; Oku-029; Oku-030; Oku-031; Oku-035; Oku-036; Oku-037; Oku-038; Oku-039; Oku-040; Oku-041; Oku-042; Oku-043; Oku-044; Oku-045; Oku-046; Oku-047; Oku-048; Oku-051; Oku-052; Oku-053; Oku-054; Oku-055; Oku-056; Oku-057; Oku-058; Oku-059; Oku-060; Oku-061; Oku-062; Oku-063; Oku-064; Oku-065; Oku-066; Oku-067; Oku-068; Oku-069; Oku-070; Oku-071; Oku-072; Oku-073; Oku-074; Oku-075; Oku-076; Oku-077; Oku-078; Oku-079; Oku-080; Oku-081; Oku-082; Oku-083; Oku-084; Oku-085; Oku-086; Oku-087; Oku-088; Oku-089; Oku-090; Oku-091; Oku-092; Oku-093; Oku-094; Oku-095; Oku-096; Oku-097; Oku-098; Oku-099; Oku-100; Oku-101; Oku-102; Oku-103; Oku-105; Oku-106; Oku-107; Oku-108; Oku-109; Oku-110; Oku-111; Oku-112; Pav_1; Pav_10; Pav_11; Pav_12; Pav_13a; Pav_13b; Pav_14; Pav_15; Pav_16; Pav_17; Pav_18; Pav_19; Pav_2; Pav_20; Pav_21; Pav_22; Pav_23; Pav_24; Pav_25; Pav_3a; Pav_3b; Pav_3c; Pav_3d; Pav_4a; Pav_4b; Pav_4c; Pav_5; Pav_6; Pav_7; Pav_8; Pav_9; Pav_H12-1; Pav_H13-1; Pav_H13-2; Pav_H13-2(2); Pav_H13-3; Pav_H14-1; Pav_H14-2; Pav_H17-1; Pav_H17-2; Pav_H19-1; Pav_H19-2; Pav_H19-3; Pav_H19-4; Pav_H19-4bis; Pav_H19-5; Pav_H19-6; Pav_H20-1; Pav_H20-2; Pav_H20-3; Pav_H20-4; Pav_H20-5; Pav_H20-6; Precipitation, annual mean; Precipitation, annual mean, maximum; Precipitation, annual mean, minimum; Precipitation, Apr-Sep; Precipitation, Apr-Sep, maximum; Precipitation, Apr-Sep, minimum; Precipitation, Oct-Mar; Precipitation, Oct-Mar, maximum; Precipitation, Oct-Mar, minimum; Russia; SAKH_01; SAKH_03; SAKH_04; SAKH_06; SAKH_08; SAKH_10; SAKH_11; SAKH_13; SAKH_15; SAKH_17; SAKH_19; SAKH_21; SAKH_23; SAKH_25; SAKH_26; SAKH_28; SAKH_29; SAKH_31; SAKH_33; SAKH_35; SAKH_36; SAKH_37; SAKH_39; SAKH_40; SAKH_41; SAKH_43; SAKH_45; SAKH_47; SAKH_49; SAKH_51; SAKH_53; SAKH_54; SAKH_55; SAKH_57; SAKH_58; SAKH_59; SAKH_61; SAKH_62; SAKH_63; Temperature, annual mean; Temperature, annual mean, maximum; Temperature, annual mean, minimum; Temperature, coldest month; Temperature, coldest month, maximum; Temperature, coldest month, minimum; Temperature, difference; Temperature, difference, maximum; Temperature, difference, minimum; Temperature, warmest month; Temperature, warmest month, maximum; Temperature, warmest month, minimum; Temperature coldness index; Temperature coldness index, maximum; Temperature coldness index, minimum; Temperature warmth index; Temperature warmth index, maximum;
    Type: Dataset
    Format: text/tab-separated-values, 22316 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 5
    facet.materialart.
    Unknown
    (Table S2) Reference pollen dataset of 798 modern surface spectra (2011)
    PANGAEA
    Details
    Publication Date: 2024-03-06
    Keywords: Abies; Acer; Aesculus; Alnus; AMUR1; AMUR10; AMUR11; AMUR12; AMUR13; AMUR14; AMUR15; AMUR16; AMUR17; AMUR18; AMUR19; AMUR2; AMUR20; AMUR21; AMUR22; AMUR23; AMUR24; AMUR25; AMUR26; AMUR27; AMUR28; AMUR29; AMUR3; AMUR31; AMUR32; AMUR33; AMUR34; AMUR35; AMUR36; AMUR37; AMUR38; AMUR39; AMUR4; AMUR40; AMUR43; AMUR44; AMUR45; AMUR46; AMUR47; AMUR48; AMUR49; AMUR5; AMUR50; AMUR51; AMUR52; AMUR53; AMUR54; AMUR55; AMUR56; AMUR57; AMUR6; AMUR7; AMUR8; AMUR9; Betula; Camellia; Carpinus; Castanopsis; China; Corylus; Counting, palynology; Cryptomeria; DEPTH, sediment/rock; Elevation of event; Ericaceae; Event label; Fagus; Fraxinus; Hand corer; HCOR; HOKK_02; HOKK_05; HOKK_07; HOKK_08; HOKK_10; HOKK_11; HOKK_14; Ilex; Japan; Jss-001; Jss-002; Jss-003; Jss-004; Jss-005; Jss-006; Jss-007; Jss-008; Jss-009; Jss-010; Jss-011; Jss-012; Jss-013; Jss-014; Jss-015; Jss-016; Jss-017; Jss-018; Jss-019; Jss-020; Jss-021; Jss-022; Jss-023; Jss-024; Jss-025; Jss-026; Jss-027; Jss-028; Jss-029; Jss-030; Jss-031; Jss-032; Jss-033; Jss-034; Jss-035; Jss-036; Jss-037; Jss-038; Jss-039; Jss-040; Jss-041; Jss-042; Jss-043; Jss-044; Jss-045; Jss-046; Jss-047; Jss-048; Jss-049; Jss-050; Jss-051; Jss-052; Jss-053; Jss-054; Jss-055; Jss-056; Jss-057; Jss-058; Jss-059; Jss-060; Jss-061; Jss-062; Jss-063; Jss-064; Jss-065; Jss-066; Jss-067; Jss-068; Jss-069; Jss-070; Jss-071; Jss-072; Jss-073; Jss-074; Jss-075; Jss-076; Jss-077; Jss-078; Jss-079; Jss-080; Jss-081; Jss-082; Jss-083; Jss-084; Jss-085; Jss-086; Jss-087; Jss-088; Jss-089; Jss-090; Jss-091; Jss-092; Jss-093; Jss-094; Jss-095; Jss-096; Jss-097; Jss-098; Jss-099; Jss-100; Jss-101; Jss-102; Jss-103; Jss-104; Jss-105; Jss-106; Jss-107; Jss-108; Jss-109; Jss-110; Jss-111; Jss-112; Jss-113; Jss-114; Jss-115; Jss-116; Jss-117; Jss-118; Jss-119; Jss-120; Jss-121; Jss-122; Jss-123; Jss-124; Jss-125; Jss-126; Jss-127; Jss-128; Jss-129; Jss-130; Jss-131; Jss-132; Jss-133; Jss-134; Jss-135; Jss-136; Jss-137; Jss-138; Jss-139; Jss-140; Jss-141; Jss-142; Jss-143; Jss-144; Jss-145; Jss-146; Jss-147; Jss-148; Jss-149; Jss-150; Jss-151; Jss-152; Jss-153; Jss-154; Jss-155; Jss-156; Jss-157; Jss-158; Jss-159; Jss-160; Jss-161; Jss-162; Jss-163; Jss-164; Jss-165; Jss-166; Jss-167; Jss-168; Jss-169; Jss-170; Jss-171; Jss-172; Jss-173; Jss-174; Jss-175; Jss-176; Jss-177; Jss-178; Jss-179; Jss-180; Jss-181; Jss-182; Jss-183; Jss-184; Jss-185; Jss-186; Jss-187; Jss-188; Jss-189; Jss-190; Jss-191; Jss-192; Jss-193; Jss-194; Jss-195; Jss-196; Jss-197; Jss-198; Jss-199; Jss-200; Jss-201; Jss-202; Jss-203; Jss-204; Jss-205; Jss-206; Jss-207; Jss-208; Jss-209; Jss-210; Jss-211; Jss-212; Jss-213; Jss-214; Jss-215; Jss-216; Jss-217; Jss-218; Jss-219; Jss-220; Jss-221; Jss-222; Jss-223; Jss-224; Jss-225; Jss-226; Jss-227; Jss-228; Jss-229; Jss-230; Jss-231; Jss-232; Jss-233; Jss-234; Jss-235; Jss-236; Jss-237; Jss-238; Jss-239; Jss-240; Jss-241; Jss-242; Jss-243; Jss-244; Jss-245; Jss-246; Jss-247; Jss-248; Jss-249; Jss-250; Jss-251; Jss-252; Jss-253; Jss-254; Jss-255; Jss-256; Jss-257; Jss-258; Jss-259; Jss-260; Jss-261; Jss-262; Jss-263; Jss-264; Jss-265; Jss-266; Jss-267; Jss-268; Jss-269; Jss-270; Jss-271; Jss-272; Jss-273; Jss-274; Jss-275; Jss-276; Jss-277; Jss-278; Jss-279; Jss-280; Jss-281; Jss-282; Jss-283; Jss-284; Jss-285; Juglans; Jun-286; Jun-287; Jun-288; Jun-289; Jun-290; Jun-291; Jun-292; Jun-293; Jun-294; Jun-295; Jun-296; Jun-297; Jun-298; Jun-299; Jun-300; Jun-301; Jun-302; Jun-303; Jun-304; Jun-305; Jun-306; Jun-307; Jun-308; Jun-310; Jun-311; Jun-312; Jun-313; Jun-314; Jun-315; Jun-316; Jun-317; Jun-318; Jun-319; Jun-320; Jun-321; Jun-322; Jun-323; Jun-324; Jun-325; Jun-326; Jun-327; Jun-328; KUNASH1; KUNASH2; KUNASH3; KUNASH4; KUNASH5; KUNASH6; KUNASH7; KUNASH8; Larix; Latitude of event; Longitude of event; MOKH1; MOKH10; MOKH100; MOKH101; MOKH102; MOKH103; MOKH104; MOKH105; MOKH106; MOKH107; MOKH108; MOKH109; MOKH11; MOKH110; MOKH111; MOKH112; MOKH113; MOKH114; MOKH115; MOKH116; MOKH117; MOKH118; MOKH119; MOKH12; MOKH120; MOKH121; MOKH122; MOKH123; MOKH124; MOKH125; MOKH126; MOKH127; MOKH128; MOKH129; MOKH13; MOKH130; MOKH131; MOKH133; MOKH134; MOKH135; MOKH136; MOKH137; MOKH138; MOKH139; MOKH14; MOKH140; MOKH141; MOKH142; MOKH143; MOKH144; MOKH145; MOKH146; MOKH147; MOKH148; MOKH149; MOKH15; MOKH150; MOKH151; MOKH152; MOKH153; MOKH154; MOKH155; MOKH156; MOKH157; MOKH158; MOKH159; MOKH16; MOKH160; MOKH161; MOKH162; MOKH163; MOKH164; MOKH165; MOKH166; MOKH167; MOKH168; MOKH169; MOKH17; MOKH170; MOKH171; MOKH172; MOKH173; MOKH174; MOKH175; MOKH176; MOKH177; MOKH178; MOKH18; MOKH180; MOKH181; MOKH182; MOKH183; MOKH184; MOKH185; MOKH186; MOKH187; MOKH188; MOKH189; MOKH19; MOKH194; MOKH195; MOKH196; MOKH197; MOKH199; MOKH2; MOKH200; MOKH202; MOKH204; MOKH206; MOKH207; MOKH208; MOKH209; MOKH21; MOKH210; MOKH211; MOKH212; MOKH213; MOKH214; MOKH215; MOKH216; MOKH217; MOKH218; MOKH219; MOKH22; MOKH220; MOKH221; MOKH223; MOKH224; MOKH225; MOKH226; MOKH227; MOKH228; MOKH23; MOKH231; MOKH233; MOKH234; MOKH237; MOKH238; MOKH239; MOKH24; MOKH240; MOKH241; MOKH242; MOKH25; MOKH26; MOKH27; MOKH28; MOKH29; MOKH3; MOKH30; MOKH31; MOKH32; MOKH33; MOKH34; MOKH35; MOKH36; MOKH38; MOKH39; MOKH40; MOKH41; MOKH42; MOKH43; MOKH44; MOKH45; MOKH46; MOKH47; MOKH48; MOKH49; MOKH50; MOKH51; MOKH53; MOKH54; MOKH55; MOKH56; MOKH59; MOKH6; MOKH60; MOKH61; MOKH62; MOKH63; MOKH64; MOKH65; MOKH66; MOKH67; MOKH68; MOKH69; MOKH7; MOKH71; MOKH72; MOKH73; MOKH75; MOKH76; MOKH77; MOKH78; MOKH79; MOKH8; MOKH80; MOKH81; MOKH82; MOKH83; MOKH84; MOKH85; MOKH86; MOKH87; MOKH88; MOKH89; MOKH9; MOKH91; MOKH92; MOKH93; MOKH94; MOKH95; MOKH96; MOKH97; MOKH98; MOKH99; Myrica; Oku-013; Oku-014; Oku-015; Oku-016; Oku-017; Oku-018; Oku-019; Oku-020; Oku-021; Oku-022; Oku-023; Oku-024; Oku-025; Oku-026; Oku-027; Oku-028; Oku-029; Oku-030; Oku-031; Oku-035; Oku-036; Oku-037; Oku-038; Oku-039; Oku-040; Oku-041; Oku-042; Oku-043; Oku-044; Oku-045; Oku-046; Oku-047; Oku-048; Oku-051; Oku-052; Oku-053; Oku-054; Oku-055; Oku-056; Oku-057; Oku-058; Oku-059; Oku-060; Oku-061; Oku-062; Oku-063; Oku-064; Oku-065; Oku-066; Oku-067; Oku-068; Oku-069; Oku-070; Oku-071; Oku-072; Oku-073; Oku-074; Oku-075; Oku-076; Oku-077; Oku-078; Oku-079; Oku-080; Oku-081; Oku-082; Oku-083; Oku-084; Oku-085; Oku-086; Oku-087; Oku-088; Oku-089; Oku-090; Oku-091; Oku-092; Oku-093; Oku-094; Oku-095; Oku-096; Oku-097; Oku-098; Oku-099; Oku-100; Oku-101; Oku-102; Oku-103; Oku-105; Oku-106; Oku-107; Oku-108; Oku-109; Oku-110; Oku-111; Oku-112; Pav_1; Pav_10; Pav_11; Pav_12; Pav_13a; Pav_13b; Pav_14; Pav_15; Pav_16; Pav_17; Pav_18; Pav_19; Pav_2; Pav_20; Pav_21; Pav_22; Pav_23; Pav_24; Pav_25; Pav_3a; Pav_3b; Pav_3c; Pav_3d; Pav_4a; Pav_4b; Pav_4c; Pav_5; Pav_6; Pav_7; Pav_8; Pav_9; Pav_H12-1; Pav_H13-1; Pav_H13-2; Pav_H13-2(2); Pav_H13-3; Pav_H14-1; Pav_H14-2; Pav_H17-1; Pav_H17-2; Pav_H19-1; Pav_H19-2; Pav_H19-3; Pav_H19-4; Pav_H19-4bis; Pav_H19-5; Pav_H19-6; Pav_H20-1; Pav_H20-2; Pav_H20-3; Pav_H20-4; Pav_H20-5; Pav_H20-6; Picea; Pinus; Podocarpus; Quercus, deciduous; Quercus evergreen; Reference/source; Rhododendron; Rhus; Russia; SAKH_01; SAKH_03; SAKH_04; SAKH_06; SAKH_08; SAKH_10; SAKH_11; SAKH_13; SAKH_15; SAKH_17; SAKH_19; SAKH_21; SAKH_23; SAKH_25; SAKH_26; SAKH_28; SAKH_29; SAKH_31; SAKH_33; SAKH_35; SAKH_36; SAKH_37; SAKH_39; SAKH_40; SAKH_41; SAKH_43; SAKH_45; SAKH_47; SAKH_49; SAKH_51; SAKH_53; SAKH_54; SAKH_55; SAKH_57; SAKH_58; SAKH_59; SAKH_61; SAKH_62; SAKH_63; Salix; Sciadopitys; Symplocos; Taxodiaceae; Tilia; Tsuga; Ulmus; Viburnum
    Type: Dataset
    Format: text/tab-separated-values, 26334 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 6
    Electronic Resource
    Electronic Resource
    EPR Spin-Trapping Study of the Sonolysis of H2O/D2O Mixtures: Probing the Temperatures of Cavitation Regions (1995)
    s.l. : American Chemical Society
    The @journal of physical chemistry 〈Washington, DC〉 99 (1995), S. 3605-3611 
    Details
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology , Physics
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1021/j100011a030
    Location Call Number Limitation Availability
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    Paper (German National Licenses)
    Fulltext
  • 7
    facet.materialart.
    Unknown
    Therapeutic potential of a gamma-secretase inhibitor for hearing restoration in a guinea pig model with noise-induced hearing loss (2014)
    BioMed Central
    Details
    Publication Date: 2014-05-23
    Description: Background: Notch signaling plays a crucial role in the fate determination of cochlear progenitor cells, hair cells, and supporting cells in the developing cochlea. Recent studies have demonstrated the temporal activation of Notch signaling in damaged mature cochleae, and have demonstrated the induction of new hair cells by pharmacologically inhibiting Notch signaling. The present study aimed to illustrate the feasibility of pharmacologically inhibiting Notch signaling by using a gamma-secretase inhibitor for treating sensorineural hearing loss. Results: The effect of the sustained local delivery of MDL28170, a gamma-secretase inhibitor, on hearing and hair cell induction was tested in a guinea pig model with noise-induced hearing loss. MDL28170 was directly delivered into the cochlear fluids via a micro osmotic-pump. Drug application was initiated 7 days after noise exposure. Measurements of auditory brainstem responses revealed better hearing in the MDL28170-treated animals than in the vehicle controls. Histological analysis demonstrated a higher number of outer hair cells in the MDL28170-treated cochleae than the vehicle-treated cochleae. Conclusion: These findings strongly suggest that local sustained delivery of a gamma-secretase inhibitor into the cochlea could be a novel strategy for treating acute hearing loss that is refractory to conventional treatment.
    Electronic ISSN: 1471-2202
    Topics: Medicine
    Published by BioMed Central
    Location Call Number Limitation Availability
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    PAPER CURRENT
  • 8
    facet.materialart.
    Unknown
    Serum fucosylated haptoglobin as a novel prognostic biomarker predicting high-Gleason prostate cancer (2014)
    Wiley-Blackwell
    In: Prostate
    Details
    Publication Date: 2014-05-08
    Description: BACKGROUND Fucosylation is an oligosaccharide modification associated with cancer and inflammation, which is catalyzed by fucosyltransferases. Fucosylated haptoglobin (Fuc-Hpt) has been identified as a novel biomarker for pancreatic cancer. In this study, we evaluated serum Fuc-Hpt as a biomarker for prostate cancer, and investigated the expression of fucosyltransferases and haptoglobin in prostate cancer cell lines. METHODS We measured the preoperative serum Fuc-Hpt levels in 98 patients who underwent radical prostatectomy (RP) using an established lectin-antibody ELISA. Fucosyltransferase and haptoglobin mRNA and protein expressions in prostate cancer cell lines were determined using quantitative PCR and Western blotting. RESULTS Serum Fuc-Hpt levels were significantly associated with Gleason score (GS), but not prostate-specific antigen (PSA) levels. The area under the receiver-operator characteristics curve (AUC) for the prediction of GS ≥7 in prostatectomy specimens by Fuc-Hpt was 0.753, in contrast to the PSA AUC of 0.561 and the PSAD AUC of 0.558. The Fuc-Hpt AUC for the prediction of GS upgrade from GS 6 at biopsy to GS ≥7 after RP was 0.689, in contrast to the PSA AUC of 0.588 and PSAD AUC of 0.557. Multivariable analysis revealed that Fuc-Hpt levels were significantly associated with biochemical recurrence after prostatectomy. A high expression of alpha-(1–6) fucosyltransferase ( FUT8 ) and haptoglobin was observed in prostate cancer cell line, suggesting that certain kinds of prostate cancer cells produce Fuc-Hpt. CONCLUSION Elevated serum Fuc-Hpt level could be a novel cancer biomarker for predicting the prognosis of patients with prostate cancer, particularly those with high GSs. Prostate © 2014 Wiley Periodicals, Inc.
    Print ISSN: 0270-4137
    Electronic ISSN: 1097-0045
    Topics: Medicine
    Published by Wiley-Blackwell
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