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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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    Pollen and non-pollen palynomorph records of the Holocene part of the composite sediment core TMD from lake Tso Moriri (NW India) and of modern surface samples from the Tso Moriri region (2014)
    PANGAEA
    In:  Supplement to: Leipe, Christian; Demske, Dieter; Tarasov, Pavel E; Wünnemann, Bernd; Riedel, Frank (2014): Potential of pollen and non-pollen palynomorph records from Tso Moriri Trans-Himalaya, NW India) for reconstructing Holocene limnology, and human-environmental interactions. Quaternary International, 348, 113-129, https://doi.org/10.1016/j.quaint.2014.02.026
    Details
    Publication Date: 2023-01-13
    Description: The high-altitude lake Tso Moriri (32°55'46'' N, 78°19'24'' E; 4522 m a.s.l.) is situated at the margin of the ISM and westerly influences in the Trans-Himalayan region of Ladakh. Human settlements are rare and domestic and wild animals are concentrating at the alpine meadows. A set of modern surface samples and fossil pollen from deep-water TMD core was evaluated with a focus on indicator types revealing human impact, grazing activities and lake system development during the last ca. 12 cal ka BP. Furthermore, the non-pollen palynomorph (NPP) record, comprising remains of limnic algae and invertebrates as well as fungal spores and charred plant tissue fragments, were examined in order to attest palaeolimnic phases and human impact, respectively. Changes in the early and middle Holocene limnic environment are mainly influenced by regional climatic conditions and glacier-fed meltwater flow in the catchment area. The NPP record indicates low lake productivity with high influx of freshwater between ca. 11.5 and 4.5 cal ka BP which is in agreement with the regional monsoon dynamics and published climate reconstructions. Geomorphologic observations suggest that during this period of enhanced precipitation the lake had a regular outflow and contributed large amounts of water to the Sutlej River, the lower reaches of which were integral part of the Indus Civilization area. The inferred minimum fresh water input and maximum lake productivity between ca. 4.5-1.8 cal ka BP coincides with the reconstruction of greatest aridity and glaciation in the Korzong valley resulting in significantly reduced or even ceased outflow. We suggest that lowered lake levels and river discharge on a larger regional scale may have caused irrigation problems and harvest losses in the Indus valley and lowlands occupied by sedentary agricultural communities. This scenario, in turn, supports the theory that, Mature Harappan urbanism (ca. 4.5-3.9 cal ka BP) emerged in order to facilitate storage, protection, administration, and redistribution of crop yields and secondly, the eventual collapse of the Harappan Culture (ca. 3.5-3 cal ka BP) was promoted by prolonged aridity. There is no clear evidence for human impact around Tso Moriri prior to ca. 3.7 cal ka BP, with a more distinct record since ca. 2.7 cal ka BP. This suggests that the sedimentary record from Tso Moriri primarily archives the regional climate history.
    Type: Dataset
    Format: application/zip, 5 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 3
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    Fossil pollen record of composite sediment core TMD from Tso Moriri, analysis of modern surface pollen samples, mean annual precipitation reconstruction, and digitisation and recalibration of different discussed palaeoclimate proxy records (2013)
    PANGAEA
    In:  Supplement to: Leipe, Christian; Demske, Dieter; Tarasov, Pavel E (2014): A Holocene pollen record from the northwestern Himalayan lake Tso Moriri: Implications for palaeoclimatic and archaeological research. Quaternary International, 348, 93-112, https://doi.org/10.1016/j.quaint.2013.05.005
    Details
    Publication Date: 2023-01-13
    Description: This paper presents a new fossil pollen record from Tso Moriri (32°54'N, 78°19'E, 4512 m a.s.l.) and seeks to reconstruct changes in mean annual precipitation (MAP) during the last 12,000 years. This high-alpine lake occupies an area of 140 km**2 in a glacial-tectonic valley in the northwestern Himalaya. The region has a cold climate, with a MAP 〈300 mm, and open vegetation. The hydrology is controlled by the Indian Summer Monsoon (ISM), but winter westerly-associated precipitation also affects the regional water balance. Results indicate that precipitation levels varied significantly during the Holocene. After a rapid increase in MAP, a phase of maximum humidity was reached between ca. 11 to 9.6 cal ka BP, followed by a gradual decline in MAP. This trend parallels the reduction in the Northern Hemisphere summer insolation. Comparison of different palaeoclimate proxy records reveal evidence for a stronger Holocene decrease in precipitation in the northern versus the southern parts of the ISM domain. The long-term trend of ISM weakening is overlaid with several short periods of greater dryness, which are broadly synchronous with the North Atlantic cold spells, suggesting reduced amounts of westerly-associated winter precipitation. Compared to the mid and late Holocene, it appears that westerlies had a greater influence on the western parts of the ISM domain during the early Holocene. During this period, the westerly-associated summer precipitation belt was positioned at Mediterranean latitudes and amplified the ISM-derived precipitation. The Tso Moriri pollen record and moisture reconstructions also suggest that changes in climatic conditions affected the ancient Harappan Civilisation, which flourished in the greater Indus Valley from approximately 5.2 to 3 cal ka BP. The prolonged Holocene trend towards aridity, punctuated by an interval of increased dryness (between ca. 4.5 to 4.3 cal ka BP), may have pushed the Mature Harappan urban settlements (between ca. 4.5 to 3.9 cal ka BP) to develop more efficient agricultural practices to deal with the increasingly acute water shortages. The amplified aridity associated with North Atlantic cooling between ca. 4 to 3.6 and around 3.2 cal ka BP further hindered local agriculture, possibly causing the deurbanisation that occurred from ca. 3.9 cal ka BP and eventual collapse of the Harappan Civilisation between ca. 3.5 to 3 cal ka BP.
    Type: Dataset
    Format: application/zip, 7 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 4
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    Absolute counts and concentrations of pollen and non-pollen palynomorphs from the sediment core XBWu-46 extracted from Bosten Lake (Bosten Hu) covering the last 8540 years and a clay sample from mud coffin BM28 from the Xiaohe cemetery in western China (2018)
    PANGAEA
    In:  Supplement to: Tarasov, Pavel E; Demske, Dieter; Leipe, Christian; Long, Tengwen; Müller, Stefanie; Hoelzmann, Philipp; Wagner, Mayke (2018): An 8500-year palynological record of vegetation, climate change and human activity in the Bosten Lake region of Northwest China. Palaeogeography, Palaeoclimatology, Palaeoecology, https://doi.org/10.1016/j.palaeo.2018.11.038
    Details
    Publication Date: 2023-02-14
    Description: The palynological data of the XBWu-46 sediment core extracted from Bosten Lake at the south-eastern end of the Tian Shan represents the regional moisture evolution, which can be divided into three major intervals comprising a period of aridification (ca. 8540-4000 cal. yr BP), a driest phase spanning from ca. 4000 to 2000/1500 cal. yr BP, followed by an interval of increasing moisture levels towards the core top (ca. 60 cal. yr BP). Correlation with other climate proxy records from different regions implies that hydrological conditions in NW China during the early and middle Holocene were governed by Asian summer monsoon precipitation and that the moisture increase over the last two millennia was controlled by westerly-derived precipitation. Evidence for early regional human activities in the lake sediments starts to accumulate from the onset of the driest interval including the records of enhanced charred grass fragment concentrations (since ca. 4350 cal. yr BP), Cerealia type (since ca. 4000 cal. yr BP), Xanthium (since ca. 3700 cal. yr BP), and Cannabis type (since ca. 2500 cal. yr BP) pollen. These signals are likely related to early agro-pastoral populations of regional Andronovo cultures that, according to archaeological data, appeared in the south-eastern Tian Shan around 4000 cal. yr BP. In addition, increased Xanthium pollen and charred grass fragment abundances point to enhanced human impact linked to intensified Silk Road activities during the Han dynasty (206 BCE-220 CE).
    Keywords: Bosten Lake, Bosten Hu; Core; CORE; MULT; Multiple investigations; South-eastern Tian Shan, north-west China; Tarim Basin, China; XBWu-46; Xiaohe_cemetery_BM28
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 5
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    (Supplement Table 5) Revised chronology of the A/C ratio record from Sumxi Co (2013)
    PANGAEA
    Details
    Publication Date: 2023-02-18
    Keywords: AGE; Age, 14C recalibrated, this study; Age, standard deviation; Calendar age; Confidence interval; DEPTH, sediment/rock; digitised from Van Campo & Gasse (1993) and Van Campo et al. (1996); Himalaya; Ratio; Sumxi_Co
    Type: Dataset
    Format: text/tab-separated-values, 382 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 6
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    (Supplement Table 4) Revised chronology of the δ¹⁸O record from Qinghai Lake (2013)
    PANGAEA
    Details
    Publication Date: 2023-02-18
    Keywords: AGE; Age, 14C recalibrated, this study; Age, standard deviation; Calendar age; Confidence interval; digitised from Lister et al. (1991); Himalaya; Qinghai_Lake; δ18O
    Type: Dataset
    Format: text/tab-separated-values, 248 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 7
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    Age determination of Lake Baikal sediment cores
    PANGAEA
    Details
    Publication Date: 2023-06-27
    Keywords: Age, dated; Age, dated standard deviation; Calendar age, maximum/old; Calendar age, minimum/young; Carbon mass; Carbon yield; CON01-6; CON01-603-5; CON01-605-5; CON01-606-3; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Event label; KAL; Kasten corer; Laboratory code/label; Lake Baikal, Russia; Latitude of event; Longitude of event; Purity; Sample code/label; Sample volume; Vereshchagin; δ13C, organic carbon; δ13C, organic carbon, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 476 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 8
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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
  • 9
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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
  • 10
    facet.materialart.
    Unknown
    (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
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