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  • 1
    Publication Date: 2024-03-20
    Description: Climate change is expected to cause major shifts in boreal forests which are in vast areas of Siberia dominated by two species of the deciduous needle tree larch (Larix). The species differ markedly in their ecosystem functions, thus shifts in their respective ranges are of global relevance. However, drivers of species distribution are not well understood, in part because paleoecological data at species level are lacking. This study tracks Larix species distribution in time and space using target enrichment on sedimentary ancient DNA extracts from eight lakes across Siberia. We discovered that Larix sibirica, presently dominating in western Siberia, likely migrated to its northern distribution area only in the Holocene at around 10,000 years before present (ka BP), and had a much wider eastern distribution around 33 ka BP. Samples dated to the Last Glacial Maximum (around 21 ka BP), consistently show genotypes of L. gmelinii. Our results suggest climate as a strong determinant of species distribution in Larix and provide temporal and spatial data for species projection in a changing climate.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 2
    Publication Date: 2023-12-15
    Description: This dataset comprises the age-depth model of Lake Kyutyunda, which is an updated version of the age-depth correlation from Biskaborn et al. (2016) with refined correlation between the core segments, based on the IntCal20 calibration curve compiled in the R package 'Bacon'. The age-depth model covers the last 39.000 years. The dataset is the output of the bacon run and contains information about the depth of the sediment core PG2023 and the corresponding minimum, maximum, median, and mean ages in calibrated years ka BP.
    Keywords: accelerator mass spectrometry (AMS); Age, 14C calibrated, IntCal20 with Bacon 2.2 (Blaauw and Christen, 2011); Age model; Arctic Russia; AWI Arctic Land Expedition; Calendar age, maximum/old; Calendar age, mean; Calendar age, median; Calendar age, minimum/young; COMPCORE; Composite Core; DEPTH, sediment/rock; Ecology & Environment; Geosciences, Multidisciplinary; Glacial; Holocene; Lake sediment; Lena2010; PG2023; RU-Land_2010_Lena; Sediment cores; Siberia; Taymyr
    Type: Dataset
    Format: text/tab-separated-values, 3164 data points
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  • 3
    Publication Date: 2023-12-15
    Description: This dataset contains updated information on the determined age in years before present (BP) which were determined by Accelerator Mass Spectrometry (AMS) of the samples from Lake Kyutyunda with their corresponding depths in the sediment core PG2023. The version is updated from Biskaborn et al. (2016). Entries marked with an asterisk following the Sample code were not used for the age model.
    Keywords: accelerator mass spectrometry (AMS); Age, 14C calibrated, IntCal20 with Bacon 2.2 (Blaauw and Christen, 2011); Age, dated; Age, dated material; Age, dated standard error; Age model; Arctic Russia; AWI Arctic Land Expedition; COMPCORE; Composite Core; DEPTH, sediment/rock; Ecology & Environment; Geosciences, Multidisciplinary; Glacial; Holocene; Laboratory code/label; Lake sediment; Lena2010; PG2023; RU-Land_2010_Lena; Sample code/label; Sample type; Sediment cores; Siberia; Taymyr
    Type: Dataset
    Format: text/tab-separated-values, 84 data points
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  • 4
    Publication Date: 2023-12-16
    Description: The dataset contains the XRF scanning data of the sediment core segments for Lake Lama (core PG1341) from arctic Siberia. The data were measured using an Itrax core scanner (Cox Analytical Systems, Sweden) equipped with a Cr‐tube and a silicon-drift detector (SDD) in combination with a multi‐channel analyser.
    Keywords: Aluminium; Antimony; Arctic Siberia; Argon; AWI Arctic Land Expedition; Barium; Bismuth; Bromine; Caesium; Calcium; Chlorine; COMPCORE; Composite Core; Copper; DEPTH, sediment/rock; Elements, total; Europium; Gadolinium; Gallium; Germanium; Glacial; Hafnium; Holmium; Holocene; Iodine; Iridium; Iron; Lake sediment; Lama Lake; Lanthanum; Lead; Magnesium; Manganese; Mean squared error; Nickel; Niobium; Norilsk97; PG1341; Potassium; Praseodymium; Radium; Rhenium; Rubidium; RU-Land_1997_Norilsk; Samarium; Scandium; Section position; Selenium; Silicon; Strontium; Sulfur; Tantalum; Taymyr; Thulium; Tin; Titanium; Tungsten; Uranium; Vanadium; X-ray fluorescence ITRAX core scanner; XRF data; Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 550956 data points
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  • 5
    Publication Date: 2024-01-10
    Keywords: 11-CH-02II; 11-CH-02III; 11-CH-06I; 11-CH-06III; 11-CH-12I; 11-CH-12II; 11-CH-17I; 11-CH-17II; 12-KO-02; 12-KO-03; 12-KO-04; 12-KO-05; 13-TY-02-VI; 13-TY-02-VII; 14-OM-02-V1; 14-OM-02-V2; 14-OM-11-V3; 14-OM-20-V4; 14-OM-TRANS1; 14-OM-TRANS2; 14-OM-TRANS3; 14-OM-TRANS4; 14-OM-TRANS5; 14-OM-TRANS6; 14-OM-TRANS6-7; 16-KP-01-EN18001; 16-KP-01-EN18002; 16-KP-01-EN18003; 16-KP-01-EN18004; 16-KP-01-EN18005; 16-KP-01-EN18006; 16-KP-01-EN18007; 16-KP-01-EN18008; 16-KP-01-EN18009; 16-KP-01-EN18010; 16-KP-01-EN18011; 16-KP-01-EN18012; 16-KP-01-EN18013; 16-KP-01-EN18014; 16-KP-01-EN18015; 16-KP-01-EN18016; 16-KP-01-EN18017; 16-KP-01-EN18018; 16-KP-01-EN18019; 16-KP-01-EN18020; 16-KP-01-EN18021; 16-KP-01-EN18022; 16-KP-01-EN18023; 16-KP-01-EN18024; 16-KP-01-EN18025; 16-KP-01-EN18026; 16-KP-01-EN18027; 16-KP-04-EN18051; 16-KP-04-EN18052; 16-KP-04-EN18053; 16-KP-04-EN18054; 16-KP-04-EN18055; 16-KP-V01; 16-KP-V02; 16-KP-V03; 16-KP-V04; 16-KP-V05; 16-KP-V06; 16-KP-V07; 16-KP-V08; 16-KP-V09; 16-KP-V10; 16-KP-V11; 16-KP-V12; 16-KP-V13; 16-KP-V14; 16-KP-V15; 16-KP-V16; 16-KP-V17; 16-KP-V18; 16-KP-V19; 16-KP-V20; 16-KP-V21; 16-KP-V22; 16-KP-V23; 16-KP-V24; 16-KP-V25; 16-KP-V26; 16-KP-V27; 16-KP-V28; 16-KP-V29; 16-KP-V30; 16-KP-V31; 16-KP-V32; 16-KP-V33; 16-KP-V34; 16-KP-V35; 16-KP-V36; 16-KP-V37; 16-KP-V38; 16-KP-V39; 16-KP-V40; 16-KP-V41; 16-KP-V42; 16-KP-V43; 16-KP-V44; 16-KP-V45; 16-KP-V46; 16-KP-V47; 16-KP-V48; 16-KP-V49; 16-KP-V50; 16-KP-V51; 16-KP-V52; 16-KP-V53; 16-KP-V54; 16-KP-V55; 16-KP-V56; 16-KP-V57; 16-KP-V58; 18-BIL-00-EN18000; 18-BIL-01-EN18028; 18-BIL-01-EN18029; 18-BIL-02-EN18030; 18-BIL-02-EN18031; 18-BIL-02-EN18032; 18-BIL-02-EN18033; 18-BIL-02-EN18034; 18-BIL-02-EN18035; 18-LD-VP012-Tit-Ary; Area; Area/locality; AWI_Envi; AWI Arctic Land Expedition; B19-T1; B19-T2; Batagay 2019; Campaign; Central Yakutia; Chatanga2011; Chukotka; Chukotka 2018; Comment; DATE/TIME; ELEVATION; EN18061; EN18062; EN18063; EN18064; EN18065; EN18066; EN18067; EN18068; EN18069; EN18070_centre; EN18070_edge; EN18070_end; EN18070_transition; EN18071; EN18072; EN18073; EN18074; EN18075; EN18076; EN18077; EN18078; EN18079; EN18080; EN18081; EN18082; EN18083; EN21201; EN21202; EN21203; EN21204; EN21205; EN21206; EN21207; EN21208; EN21209; EN21210; EN21211; EN21212; EN21213; EN21214; EN21215; EN21216; EN21217; EN21218; EN21219; EN21220; EN21221; EN21222; EN21223; EN21224; EN21225; EN21226; EN21227; EN21228; EN21229; EN21230; EN21231; EN21232; EN21233; EN21234; EN21235; EN21236; EN21237; EN21238; EN21239; EN21240; EN21241; EN21242; EN21243; EN21244; EN21245; EN21246; EN21247; EN21248; EN21249; EN21250; EN21251; EN21252; EN21253; EN21254; EN21255; EN21256; EN21257; EN21258; EN21259; EN21260; EN21261; EN21262; EN21263; EN21264; Event label; Forest; Forest type; FTa; FTc; FTe; Genus; Gini coefficient; HAND; Height, maximum; Height, quantile; Individual Trees; Keperveem_2016; Kolyma, Russia; Kytalyk-Pokhodsk_2012, Kolyma2012; LATITUDE; Lena 2018; LONGITUDE; Mean values; Median values; MULT; Multiple investigations; Number of species; Number of trees; Omoloy2014; Plot; Polar Terrestrial Environmental Systems @ AWI; Principal investigator; Quantile (25th); Quantile (75th); Quantile (90th); Quantile (98th); Reference/source; RU-Land_2011_Khatanga; RU-Land_2012_Kytalyk_Kolyma; RU-Land_2013_Taymyr; RU-Land_2014_Omoloy; RU-Land_2016_Keperveem; RU-Land_2018_Chukotka; RU-Land_2018_Lena; RU-Land_2018_Yakutia; RU-Land_2019_Batagay; RU-Land_2021_Yakutia; Sampling by hand; Shannon Diversity Index; Siberia; Site; Taymyr; Taymyr2013; Tree, basal area, at base; Tree, basal area, at breast height; Tree, volume, conical; Tree, volume, smallian; Tree density; Tree height; Trees, basal area; Trees, volume, conical; Trees, volume, smallian; TY04VI; TY04VII; TY07VI; TY07VII; TY09VI; TY09VII; Vegetation survey; VEGSUR; Yakutia
    Type: Dataset
    Format: text/tab-separated-values, 7323 data points
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  • 6
    Publication Date: 2024-01-10
    Description: The data set presents more than 32,000 of about 40,000 trees, which were surveyed during several Russian-German expeditions by the North-Eastern Federal University Yakutsk and the Alfred-Wegener-Institute Potsdam in the North-East of the Russian Federation between the years 2011 and 2021. The purpose was to gather information on trees and forests in this region, which was then used to understand tree line migration, stand infilling and natural disturbance and succession processes and to initialize and validate a forest model. Trees are located on more than 160 vegetation plots, each of which has a size of several hundred square meters. For every tree, height was estimated, and the species recorded, while a few individuals were subject to more detailed inventory. This table contains every standing tree of at least 40 cm height that was encountered on the vegetation plots described in the Plot Data Base. It partially overlaps with the dataset “Tree data set from forest inventories in north-eastern Siberia - Tree measurements.” (doi: 10.1594/PANGAEA.949861), which additionally contains details on small or lying deadwood.
    Keywords: 11-CH-02II; 11-CH-02III; 11-CH-06I; 11-CH-06III; 11-CH-12I; 11-CH-12II; 11-CH-17I; 11-CH-17II; 13-TY-02-VI; 13-TY-02-VII; 13-TY-04-VI; 13-TY-04-VII; 13-TY-07-VI; 13-TY-07-VII; 13-TY-09-VI; 13-TY-09-VII; 14-OM-02-V1; 14-OM-02-V2; 14-OM-20-V4; 16-KP-01-EN18001; 16-KP-01-EN18003; 16-KP-01-EN18004; 16-KP-01-EN18005; 16-KP-01-EN18006; 16-KP-01-EN18007; 16-KP-01-EN18009; 16-KP-01-EN18010; 16-KP-01-EN18012; 16-KP-01-EN18014; 16-KP-01-EN18021; 16-KP-01-EN18024; 16-KP-01-EN18025; 16-KP-01-EN18026; 16-KP-01-EN18027; 16-KP-V01; 16-KP-V02; 16-KP-V03; 16-KP-V04; 16-KP-V05; 16-KP-V06; 16-KP-V08; 16-KP-V10; 16-KP-V11; 16-KP-V12; 16-KP-V13; 16-KP-V14; 16-KP-V15; 16-KP-V16; 16-KP-V17; 16-KP-V18; 16-KP-V19; 16-KP-V20; 16-KP-V21; 16-KP-V22; 16-KP-V26; 16-KP-V27; 16-KP-V28; 16-KP-V29; 16-KP-V30; 16-KP-V31; 16-KP-V32; 16-KP-V34; 16-KP-V35; 16-KP-V36; 16-KP-V37; 16-KP-V38; 16-KP-V39; 18-BIL-00-EN18000; 18-BIL-01-EN18028; 18-BIL-01-EN18029; 18-BIL-02-EN18030; 18-BIL-02-EN18031; 18-BIL-02-EN18032; 18-BIL-02-EN18034; 18-BIL-02-EN18035; AWI_Envi; AWI Arctic Land Expedition; Campaign; Central Yakutia; Chatanga2011; Chukotka; Chukotka 2018; Comment; DATE/TIME; EN18061; EN18062; EN18063; EN18064; EN18065; EN18066; EN18067; EN18068; EN18069; EN18070_centre; EN18070_edge; EN18070_transition; EN18071; EN18072; EN18073; EN18074; EN18075; EN18076; EN18077; EN18078; EN18079; EN18080; EN18081; EN18082; EN18083; EN21202; EN21203; EN21204; EN21205; EN21206; EN21207; EN21209; EN21211; EN21212; EN21213; EN21215; EN21217; EN21219; EN21221; EN21222; EN21223; EN21225; EN21226; EN21227; EN21228; EN21229; EN21230; EN21231; EN21232; EN21233; EN21234; EN21235; EN21236; EN21237; EN21238; EN21239; EN21240; EN21241; EN21242; EN21244; EN21245; EN21246; EN21247; EN21248; EN21249; EN21250; EN21251; EN21252; EN21253; EN21254; EN21255; EN21256; EN21258; EN21259; EN21260; EN21261; Event label; Field observation; Forest; Genus; Growth form; HAND; Individual Trees; Keperveem_2016; LATITUDE; Latitude, center; LONGITUDE; Longitude, center; Maximum; Omoloy2014; Polar Terrestrial Environmental Systems @ AWI; Principal investigator; RU-Land_2011_Khatanga; RU-Land_2013_Taymyr; RU-Land_2014_Omoloy; RU-Land_2016_Keperveem; RU-Land_2018_Chukotka; RU-Land_2018_Yakutia; RU-Land_2021_Yakutia; Sampling by hand; Siberia; Species; Subsample ID; Taymyr; Taymyr2013; Tree, basal area, at base; Tree, basal area, at breast height; Tree, crown base; Tree, diameter, at base; Tree, survey protocol; Tree, volume, conical; Tree, volume, smallian; Tree crown diameter; Tree height; Tree ID; Trees, diameter at breast height; Vegetation survey; VEGSUR; Vitality; Yakutia
    Type: Dataset
    Format: text/tab-separated-values, 578779 data points
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  • 7
    Publication Date: 2024-02-06
    Description: Here we provide the updated age-depth model of sediment cores for Lake Lama (core PG1341) from arctic Siberia. The model provides the temporal information for a project on sedimentary ancient DNA shotgun sequencing (von Hippel et al., submitted). This dataset comprises the updated age-depth model for Lake Lama (Taymyr peninsula), based on the Accelerator Mass Spectrometry radiocarbon dating of 19 samples from the sediment core PG1341 (von Hippel et al., 2022) with the additional use of two dated woody remains from Andreev et al. (2004). The age-depth model was established using the R package 'Bacon', based on the IntCal13 calibration curve and dates back 23.000 years. An additional overlap of 145 cm was calculated between the core segments 5 and 6. This recalculation is based on the TOC data and magnetic susceptibility measured by Andreev et al. (2004). The dataset is the output of the bacon run and contains information about the depth of the sediment core and the corresponding minimum, maximum, median, and mean ages in calibrated years ka BP.
    Keywords: Age, 14C calibrated, IntCal13 with Bacon 2.2 (Blaauw and Christen, 2011); Age model; Arctic Siberia; AWI Arctic Land Expedition; Calendar age, maximum/old; Calendar age, mean; Calendar age, median; Calendar age, minimum/young; COMPCORE; Composite Core; DEPTH, sediment/rock; Glacial; Holocene; Lake sediment; Lama Lake; Norilsk97; PG1341; RU-Land_1997_Norilsk; Taymyr
    Type: Dataset
    Format: text/tab-separated-values, 6708 data points
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  • 8
    Publication Date: 2024-02-06
    Description: This dataset contains information on the dated 19 samples from the core PG1341 of Lake Lama, using Accelerator Mass Spectrometry radiocarbon dating (AMS) with the additional use of two dated woody remains from Andreev et al. (2004). The data were used to establish the age-depth model of the core
    Keywords: accelerator mass spectrometry (AMS); Age, 14C calibrated, IntCal13 with Bacon 2.2 (Blaauw and Christen, 2011); Age, dated; Age, dated, uncertainty; Age model; Arctic Russia; AWI Arctic Land Expedition; Calibration; COMPCORE; Composite Core; Core section label; DEPTH, sediment/rock; Ecology & Environment; Geosciences, Multidisciplinary; Glacial; Holocene; Laboratory code/label; Lake sediment; Lama Lake; Norilsk97; PG1341; RU-Land_1997_Norilsk; Sediment cores; Siberia; Taymyr
    Type: Dataset
    Format: text/tab-separated-values, 110 data points
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  • 9
    Publication Date: 2024-02-06
    Description: Here we provide the age-depth models of sediment cores for Lake Kyutyunda (core PG2023) and Lake Lama (core PG1341) from arctic Siberia. Both models provide the temporal information for a project on sedimentary ancient DNA metabarcoding using the ITS marker for fungal composition and diversity changes as well the plant-specific g and h primers of the trnL gene to track changes of terrestrial plants (see von Hippel et al., 2022, Dryad Digital Repository). The age-depth model of Lake Kyutyunda is an updated version of the age-depth correlation from Biskaborn et al. (2016) with refined correlation between the core segments, based on the IntCal20 calibration curve compiled in the R package 'Bacon'. This age-depth model covers the last 39.000 years. The age-depth model of Lake Lama (Taymyr peninsula) is based on the Accelerator Mass Spectrometry radiocarbon dating of 19 core samples and two additional dated woody remains from Andreev et al. (2004). This age-depth model was established using the R package 'Bacon', based on the IntCal13 calibration curve and dates back 23.000 years.
    Keywords: accelerator mass spectrometry (AMS); Age model; Arctic Russia; Ecology & Environment; Geosciences, Multidisciplinary; Glacial; Holocene; Lake sediment; Sediment cores; Siberia; Taymyr
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 10
    Publication Date: 2024-02-16
    Keywords: 11-CH-02II; 11-CH-02III; 11-CH-06I; 11-CH-06III; 11-CH-06-IV; 11-CH-06-V; 11-CH-12I; 11-CH-12II; 11-CH-17I; 11-CH-17II; 11-CH-P3-I; 12-KO-02; 12-KO-03; 12-KO-04; 13-TY-02-VI; 13-TY-02-VII; 13-TY-04-VI; 13-TY-04-VII; 13-TY-07-VI; 13-TY-07-VII; 13-TY-09-VI; 13-TY-09-VII; 14-OM-02-V1; 14-OM-02-V2; 14-OM-20-V4; 14-OM-TRANS1; 14-OM-TRANS2; 14-OM-TRANS3; 14-OM-TRANS4; 14-OM-TRANS5; 14-OM-TRANS6; 14-OM-TRANS6-7; 16-KP-01-EN18001; 16-KP-01-EN18003; 16-KP-01-EN18004; 16-KP-01-EN18005; 16-KP-01-EN18006; 16-KP-01-EN18007; 16-KP-01-EN18008; 16-KP-01-EN18009; 16-KP-01-EN18010; 16-KP-01-EN18011; 16-KP-01-EN18012; 16-KP-01-EN18013; 16-KP-01-EN18014; 16-KP-01-EN18015; 16-KP-01-EN18016; 16-KP-01-EN18017; 16-KP-01-EN18021; 16-KP-01-EN18022; 16-KP-01-EN18023; 16-KP-01-EN18024; 16-KP-01-EN18025; 16-KP-01-EN18026; 16-KP-01-EN18027; 16-KP-V01; 16-KP-V02; 16-KP-V03; 16-KP-V04; 16-KP-V05; 16-KP-V06; 16-KP-V07; 16-KP-V08; 16-KP-V09; 16-KP-V10; 16-KP-V11; 16-KP-V12; 16-KP-V13; 16-KP-V14; 16-KP-V15; 16-KP-V16; 16-KP-V17; 16-KP-V18; 16-KP-V19; 16-KP-V20; 16-KP-V21; 16-KP-V22; 16-KP-V23; 16-KP-V24; 16-KP-V25; 16-KP-V26; 16-KP-V27; 16-KP-V28; 16-KP-V29; 16-KP-V30; 16-KP-V31; 16-KP-V32; 16-KP-V33; 16-KP-V34; 16-KP-V35; 16-KP-V36; 16-KP-V37; 16-KP-V38; 16-KP-V39; 18-BIL-00-EN18000; 18-BIL-01-EN18028; 18-BIL-01-EN18029; 18-BIL-02-EN18030; 18-BIL-02-EN18031; 18-BIL-02-EN18032; 18-BIL-02-EN18033; 18-BIL-02-EN18034; 18-BIL-02-EN18035; 18-LD-VP012-Tit-Ary; AWI_Envi; AWI Arctic Land Expedition; B19-T1; B19-T2; Batagay 2019; Campaign; Central Yakutia; CH06LP02; Chatanga2011; Chukotka; Chukotka 2018; Comment; DATE/TIME; EN18061; EN18062; EN18063; EN18064; EN18065; EN18066; EN18067; EN18067-70; EN18067-70 Lager Mirny Weatherstation near; EN18068; EN18069; EN18070_centre; EN18070_edge; EN18070_transition; EN18071; EN18072; EN18073; EN18074; EN18075; EN18076; EN18077; EN18078; EN18079; EN18080; EN18081; EN18082; EN18083; EN21201; EN21202; EN21203; EN21204; EN21205; EN21206; EN21207; EN21209; EN21211; EN21212; EN21213; EN21215; EN21217; EN21219; EN21221; EN21222; EN21223; EN21225; EN21226; EN21227; EN21228; EN21229; EN21230; EN21231; EN21232; EN21233; EN21234; EN21235; EN21236; EN21237; EN21238; EN21239; EN21240; EN21241; EN21242; EN21244; EN21245; EN21246; EN21247; EN21248; EN21249; EN21250; EN21251; EN21252; EN21253; EN21254; EN21255; EN21256; EN21258; EN21259; EN21260; EN21261; Event label; Forest; Genus; Growth form; HAND; Individual Trees; Keperveem_2016; Kolyma, Russia; Kytalyk-Pokhodsk_2012, Kolyma2012; LATITUDE; Latitude, center; Lena 2018; LONGITUDE; Longitude, center; MULT; Multiple investigations; Omoloy2014; Polar Terrestrial Environmental Systems @ AWI; Principal investigator; RU-Land_2011_Khatanga; RU-Land_2012_Kytalyk_Kolyma; RU-Land_2013_Taymyr; RU-Land_2014_Omoloy; RU-Land_2016_Keperveem; RU-Land_2018_Chukotka; RU-Land_2018_Lena; RU-Land_2018_Yakutia; RU-Land_2019_Batagay; RU-Land_2021_Yakutia; Sampling by hand; Siberia; Species; Subsample ID; Taymyr; Taymyr2013; Tree, basal area, at base; Tree, basal area, at breast height; Tree, crown base; Tree, diameter, at base; Tree, survey protocol; Tree, volume, conical; Tree, volume, smallian; Tree crown diameter; Tree height; Tree ID; Trees, diameter at breast height; Vegetation survey; VEGSUR; Village_Khayyr; Village Khayyr, Ust-Yansky Ulus; Vitality; Yakutia
    Type: Dataset
    Format: text/tab-separated-values, 762029 data points
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