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  • 1
    Publication Date: 2023-11-06
    Description: These five cores were obtained from a terrestrial permafrost area in northeastern Siberia (U1: March 2019; B3, B2, B1, U3: July 2019) during the Chersky 2019 field campaign. This campaign was part of both the CACOON and the PeCHEc project and was based at the Northeast Science Station in Chersky, Sakha, Russia (RU-LAND-2019/CHERSKIY; 02.07.2019 - 19.07.2019). They were taken from the area of the Pleistocene Park experiment (Zimov, 2005; doi:10.1126/science.1113442) and cover areas of a drained thermokarst lake basin (B) as well as the adjacent Yedoma uplands (U). The cores were drilled in areas of different large herbivore impact intensities (3= intensive; 2= extensive; 1= no animal presence). The data are used in a study exermining the impact of large herbivore presence on permafrost stability, vegetation composition and ground carbon storage. The active layer was sampled excavating profiles with a spade using fixed volume cylinders on the profile wall (250 ccm). The frozen ground was sampled using a SIPRE permafrost auger with a Stihl motor. All samples taken from these cores were analyzed between January 2020 and March 2021 at the facilities of AWI. The samples were analyzed for water/ice content, water isotopes, pH, conductivity, DOC, TC, TN, TOC, δ13C, mass specific magnetic susceptibility, grain size composition and radiocarbon age. Water/ice content was derived from weight differences before and after freeze-drying the samples. Water isotope ratios (δ18O, δ2H, d excess), pH, conductivity and DOC were measured using pore water extracted from the sediment samples using Rhizone samplers. Water isotopes were measured at AWI Potsdam Stable Isotope Laboratory using a Finnigan MAT Delta-S mass spectrometer. DOC was measured at AWI Potsdam Hydrochemistry Laboratory using a Shimadzu TOC-V CPH Total Organic Carbon Analyzer. TC and TN were measured at AWI Potsdam CARLA Laboratory using a vario EL III Element Analyzer. TOC was measured at the same laboratory using a varioMAX C Element Analyzer. δ13C was measured at AWI Potsdam Stable Isotope Laboratory using a Delta V Advantage Isotope Ratio MS supplement equipped with a Flash 2000 Organic Elemental Analyzer. Mass specific magnetic susceptibility was measured using a Bartington MS-2 Magnetic Susceptibility System. Grain size composition was determined using a Malvern Mastersizer 3000 equipped with a Malvern Hydro LV wet-sample dispersion unit. Statistics were calculated for this using Gradistat 8.0. Radiocarbon dating was carried out using the Mini Carbon Dating System (MICADAS) at AWI Bremerhaven.
    Keywords: biogeochemistry; CACOON; Carbon; Changing Arctic Carbon cycle in the cOastal Ocean Near-shore; herbivory; PeCHEc; sediment; Siberian permafrost; terrestrial carbon
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 2
    Publication Date: 2023-11-06
    Description: Radiocarbon dating was carried out using the Mini Carbon Dating System (MICADAS) at AWI Bremerhaven.
    Keywords: Age, 14C AMS, Mini Carbon Dating System (MICADAS); Age, comment; Age, dated; Age, dated standard error; AWI Arctic Land Expedition; B1; B2; B3; biogeochemistry; CACOON; Carbon; CH19-B1; CH19-B2; CH19-B3; CH19-U1; CH19-U3; Changing Arctic Carbon cycle in the cOastal Ocean Near-shore; Cherskiy, Russia; Cherskiy 2019; DEPTH, soil; Event label; Fraction modern carbon; Fraction modern carbon, standard error; herbivory; Laboratory code/label; PeCHEc; PERM; RU-Land_2019_Cherskiy; Sample ID; Sampling permafrost; sediment; Siberian permafrost; terrestrial carbon; U1; U3
    Type: Dataset
    Format: text/tab-separated-values, 106 data points
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  • 3
    Publication Date: 2023-11-06
    Description: TC and TN were measured at AWI Potsdam CARLA Laboratory using a vario EL III Element Analyzer. TOC was measured at the same laboratory using a varioMAX C Element Analyzer. δ13C was measured at AWI Potsdam Stable Isotope Laboratory using a Delta V Advantage Isotope Ratio MS supplement equipped with a Flash 2000 Organic Elemental Analyzer.
    Keywords: AWI Arctic Land Expedition; B1; B2; B3; biogeochemistry; CACOON; Carbon; Carbon, organic, total; Carbon, total; Carbon and Nitrogen and sulfur (CNS) isotope element analyzer, Elementar, Elementar Vario MAX Cube; Carbon and nitrogen and sulfur (CNS) isotope element analyzer, Elementar, Vario EL III; CH19-B1; CH19-B2; CH19-B3; CH19-U1; CH19-U3; Changing Arctic Carbon cycle in the cOastal Ocean Near-shore; Cherskiy, Russia; Cherskiy 2019; DEPTH, soil; Event label; herbivory; Nitrogen, total; PeCHEc; PERM; RU-Land_2019_Cherskiy; Sample ID; Sampling permafrost; sediment; Siberian permafrost; terrestrial carbon; Thermo Scientific Flash 2000-Delta V Plus IRMS; U1; U3; δ13C, total organic carbon, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 400 data points
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  • 4
    Publication Date: 2023-11-06
    Description: Water/ice content was derived from weight differences before and after freeze-drying the samples. Water isotope ratios (δ18O, δ2H, d excess), pH, conductivity and DOC were measured using pore water extracted from the sediment samples using Rhizone samplers. Water isotopes were measured at AWI Potsdam Stable Isotope Laboratory using a Finnigan MAT Delta-S mass spectrometer. DOC was measured at AWI Potsdam Hydrochemistry Laboratory using a Shimadzu TOC-V CPH Total Organic Carbon Analyzer.
    Keywords: AWI Arctic Land Expedition; B1; B2; B3; biogeochemistry; CACOON; Carbon; Carbon, organic, dissolved; CH19-B1; CH19-B2; CH19-B3; CH19-U1; CH19-U3; Changing Arctic Carbon cycle in the cOastal Ocean Near-shore; Cherskiy, Russia; Cherskiy 2019; Conductivity; DEPTH, soil; Deuterium excess; Event label; herbivory; PeCHEc; PERM; pH; Pore water extracted by Rhizone samplers; RU-Land_2019_Cherskiy; Sample, dry mass; Sample ID; Sample mass; Sampling permafrost; sediment; Siberian permafrost; State of permafrost; terrestrial carbon; U1; U3; Water content, wet mass; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 769 data points
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  • 5
    Publication Date: 2023-11-06
    Description: Mass specific magnetic susceptibility was measured using a Bartington MS-2 Magnetic Susceptibility System. Grain size composition was determined using a Malvern Mastersizer 3000 equipped with a Malvern Hydro LV wet-sample dispersion unit. Statistics were calculated for this using Gradistat 8.0.
    Keywords: AWI Arctic Land Expedition; B1; B2; B3; Bartington MS2 magnetic susceptibility meter; biogeochemistry; CACOON; Carbon; CH19-B1; CH19-B2; CH19-B3; CH19-U1; CH19-U3; Changing Arctic Carbon cycle in the cOastal Ocean Near-shore; Cherskiy, Russia; Cherskiy 2019; DEPTH, soil; Event label; Grain size, Mastersizer 3000, Malvern Instrument Inc.; Grain size, mean; herbivory; PeCHEc; PERM; RU-Land_2019_Cherskiy; Sample ID; Sampling permafrost; sediment; Siberian permafrost; Size fraction 〈 0.002 mm, clay; Size fraction 0.063-0.002 mm, silt, mud; Size fraction 2.000-0.063 mm, sand; Susceptibility, specific; terrestrial carbon; U1; U3
    Type: Dataset
    Format: text/tab-separated-values, 538 data points
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  • 6
    Publication Date: 2024-04-20
    Description: Ice-rich permafrost in the circum-Arctic and sub-Arctic, such as late Pleistocene Yedoma, are especially prone to degradation due to climate change or human activity. When Yedoma deposits thaw, large amounts of frozen organic matter and biogeochemically relevant elements return into current biogeochemical cycles. Building on previous mapping efforts, the objective of this paper is to compile the first digital pan-Arctic Yedoma map and spatial database of Yedoma coverage. Therefore, we 1) synthesized, analyzed, and digitized geological and stratigraphical maps allowing identification of Yedoma occurrence at all available scales, and 2) compiled field data and expert knowledge for creating Yedoma map confidence classes. We used GIS-techniques to vectorize maps and harmonize site information based on expert knowledge. Hence, here we synthesize data on the circum-Arctic and sub-Arctic distribution and thickness of Yedoma for compiling a preliminary circum-polar Yedoma map. To harmonize the different datasets and to avoid merging artifacts, we applied map edge cleaning while merging data from different database layers. For the digitalization and spatial integration, we used Adobe Photoshop CS6 (Version: 13.0 x64), Adobe Illustrator CS6 (Version 16.0.3 x64), Avenza MAPublisher 9.5.4 (Illustrator Plug-In) and ESRI ArcGIS 10.6.1 for Desktop (Advanced License). Generally, we followed workflow of figure 2 of the related publication (IRYP Version 2, Strauss et al 2021, https://doi.org/10.3389/feart.2021.758360). We included a range of attributes for Yedoma areas based on lithological and stratigraphic information from the source maps and assigned three different confidence levels of the presence of Yedoma (confirmed, likely, or uncertain). Using a spatial buffer of 20 km around mapped Yedoma occurrences, we derived an extent of the Yedoma domain. Our result is a vector-based map of the current pan-Arctic Yedoma domain that covers approximately 2,587,000 km², whereas Yedoma deposits are found within 480,000 km² of this region. We estimate that 35% of the total Yedoma area today is located in the tundra zone, and 65% in the taiga zone. With this Yedoma mapping, we outlined the substantial spatial extent of late Pleistocene Yedoma deposits and created a unique pan-Arctic dataset including confidence estimates.
    Keywords: Alaska North Slope; Aldan River outcrop Mamontova Gora; Allaikha_Yedoma; Arctic Ocean; Area/locality; AWI_Perma; Ayon; base of ice complex; Batagai_2014; Batagai_Kunitsky_2010; Batagay, Yakutia; Beaver_Creek; Belkovsky; Binary Object; BLOSSOM; Blossom Cape; Bolshoy_Lyakhovsky_Island_1999; Bolshoy Lyakhovsky Island, NE Siberia; Buor_Khaya_2010; Buor Khaya; Bykovsky_Peninsula; Cape_Anisii_Kotelnii_Island_2002; Cape_Maly_Chukochy; Cape Mamontov Klyk, Laptev Sea; Central_Yakutia; Central Yakutia; Chukotka, Russia; climate feedbacks; Coast_of_the_East-Siberian_Sea; Col-3_Colville_River_2009; Col-5_Colville_River_2009a; Col-5_Colville_River_2009b; Comment; CRREL; DATE/TIME; Dresvyanyi_Island; Duvanny_Yar; Duvanny_Yar_2008; Duvanny_Yar_2009; Duvannyi_Yar; Duvanny Yar, Yakutia; East Siberian Sea; Elgene_Kyuele_2010a; Elgene_Kyuele_2010b; Event label; File format; File name; File type; Geological profile sampling; GEOPRO; Great_Khomus_River; Greenhouse gas source; Identification; Investigator; IPA_Yedoma_Action_Group; Itkillik_River; Itkillik_River_2012a; Itkillik_River_2012b; Itkillik River Outcrop, Alaskan North Slope; Khaptashin_Yar; Khardang; Kitluk_River_Seward_Peninsula_2010; Klondike_area; Kolyma Lowland, NE Siberia; Konstantinovskoye; Kotelnii Island, NE Siberia; Kurugnakh_2002; Kurugnakh_2008; Kurungnakh; Kurungnakh_Island_Lena-Delta_2005; Kurungnakh Island, Lena Delta, Siberia; Kychchyma; KYT; Kytalyk; Kytalyk, Indigirka lowlands, Siberia; Lake El'gene Kyuele, central Siberian Plateau; Late Pleistocene; LATITUDE; Lena-Amga_Rivers; Lena-Anabar Lowland, NE Siberia; Lena Delta, NE Siberia; Lena Delta, Siberia, Russia; Lesser_Chaun_Strait; LONGITUDE; Maly_Lyakhovsky_Island; Mamontov_Klyk_2011; Mamontova_Gora_2001; Mamontovy_Gora_Aldan_River_2001; Mamontovy_Khayata; Mamontovy_Klyk_2003; Molotlovskiy_Kamen; MULT; Multiple investigations; Muostakh_2012; Muostakh Island, Laptev Sea; Mys_Chukochi_2009a; Mys_Chukochi_2009b; N_Yakutia; Nagym; Nagym_Lena; Northern_Bykovsky_Peninsula_2014; Northern_Seward_Peninsula; NW Chukotka; Old_Allaikha; Oyagoss_Yar_2002; Palisades; Permafrost; Permafrost Research; PETA-CARB; Plakhino; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; Rauchua_river_bank_2011; Rauhua_River; Russkoe; Sakha Republic, Russia; Seward Peninsula, Alaska; Sobo_Sise_2014; Sobo_Sise_Lena-Delta_2014; Sobo-Sise_Cliff; Sobo Sise Island, Lena Delta; SSC; Stolboboy_Island_2002; Stolbovoy Island, NE Siberia; Syrdakh_1976; Syrdakh, Central Yakutia; Tabaga_2013a; Tabaga_2013b; Tabaga, Central Yakutia; Tanda; thermokarst; The Yedoma Region: A Synthesis of Circum-Arctic Distribution and Thickness; Tube_Dispenser_Lake_Cherskii_2007; Tyungyulyu_alas; Ust_Rauchua_coast_2014; Uste-Omolon_Yar; Vankina_River_mouth; Vault_Creek_Tunnel; Vilyui_River; Yana-Indigirka Lowland, NE Siberia; Yedoma; Yedoma_IRYP
    Type: Dataset
    Format: text/tab-separated-values, 1124 data points
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  • 7
    Publication Date: 2024-04-20
    Description: This data set includes spatial high-resolution bathymetry data sets for the Lena Delta and Kolyma Gulf regions. Based on large-scale current and historical nautical maps, depth points and isobaths lines were manually digitized and served as input data for the bathymetry models. The models were calculated with the topo to raster tool in ArcGIS TM version 10.6 into a 50 m (TTR50) and a 200 m (TTR200) grid cell bathymetry for both regions. The models were validated with depth data derived from ship cruises in 2019 (Fuchs et al., submitted, Palmtag et al., 2021, Palmtag and Mann, 2021) and water depth data available on PANGAEA (e.g. Hölemann et al., 2020). Beside the bathymetry models for the Lena Delta and Kolyma Gulf regions which are available in GeoTiff format, this data set contains the complete input data for the models, which includes the depth point data, the isobaths lines, and the water area extent in shapefile format for both regions.
    Keywords: AWI_Perma; CACOON; Changing Arctic Carbon cycle in the cOastal Ocean Near-shore; Permafrost Research
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 8
    Publication Date: 2024-04-20
    Description: This data set includes the 50 m and 200 m bathymetry model for the Lena Delta region covering 232,700 km2 stretching from Cape Mamontov Klyk in the western Laptev Sea to Kotelny Island in the New Siberian Islands. The models were calculated with the topo to raster tool in ArcGIS TM version 10.6 based on depth points and isobaths lines derived from large-scale current and historical nautical maps. The final bathymetry models are available in GeoTiff format in 50 m (TTR_50m_LenaDelta.tif) and 200 m (TTR_200m_LenaDelta.tif) spatial resolution. In addition, the data set includes the complete input data for the bathymetry models. The input data consists of a point shapefile (Depth_points_LenaDelta.shp) including 50,828 manually digitized depth point measurements, a polyline shapefile (Isobaths_LenaDelta.shp) including 720 manually digitized isobath lines and a polygon shapefile (Water_area_LenaDelta.shp) for the water extent. The Lena Delta region bathymetry was validated with depth data derived from ship cruises in 2019 (Fuchs et al. submitted, Palmtag et al., 2021) as well as water depth data available on PANGAEA (e.g. Hölemann et al., 2020).
    Keywords: Arctic; AWI_Perma; CACOON; Changing Arctic Carbon cycle in the cOastal Ocean Near-shore; East Siberian Sea; Laptev Sea; Lena_Delta; near shore; Permafrost Research
    Type: Dataset
    Format: application/x-7z-compressed, 307.2 MBytes
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  • 9
    Publication Date: 2024-04-20
    Description: This data set includes the 50 m and 200 m bathymetry model for the Kolyma Gulf region covering an area of 12,100 km2 extending from the apex of the Kolyma Delta (5 km downstream of the city of Cherskiy) to 70 km offshore into the East Siberian Sea. The models were calculated with the topo to raster tool in ArcGIS TM version 10.6 based on depth points and isobaths lines derived from large-scale current and historical nautical maps. In addition, the water area extent for this region was derived from the Global Surface Water layer by Pekel et al. (2016). The final bathymetry models are available in GeoTiff format in 50 m (TTR_50m_KolymaGulf.tif) and 200 m (TTR_200m_KolymaGulf.tif) spatial resolution. In addition, the data set includes the complete input data for the bathymetry models. The input data consists of a point shapefile (Depth_points_KolymaGulf.shp) including 24,126 manually digitized point depth measurements, a polyline shapefile (Isobaths_KolymaGulf.shp) including 1,053 manually digitized isobath lines and a polygon shapefile (Water_area_KolymaGulf.shp) for the water extent. The Kolyma Gulf region bathymetry was validated with depth data derived from ship cruises in 2019 (Palmtag and Mann, 2021).
    Keywords: Arctic; AWI_Perma; CACOON; Changing Arctic Carbon cycle in the cOastal Ocean Near-shore; East Siberian Sea; Kolyma_Gulf; Laptev Sea; near shore; Permafrost Research
    Type: Dataset
    Format: application/x-7z-compressed, 18.2 MBytes
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  • 10
    Publication Date: 2016-06-01
    Description: International Arctic Systems for Observing the Atmosphere (IASOA) activities and partnerships were initiated as a part of the 2007–09 International Polar Year (IPY) and are expected to continue for many decades as a legacy program. The IASOA focus is on coordinating intensive measurements of the Arctic atmosphere collected in the United States, Canada, Russia, Norway, Finland, and Greenland to create synthesis science that leads to an understanding of why and not just how the Arctic atmosphere is evolving. The IASOA premise is that there are limitations with Arctic modeling and satellite observations that can only be addressed with boots-on-the-ground, in situ observations and that the potential of combining individual station and network measurements into an integrated observing system is tremendous. The IASOA vision is that by further integrating with other network observing programs focusing on hydrology, glaciology, oceanography, terrestrial, and biological systems it will be possible to understand the mechanisms of the entire Arctic system, perhaps well enough for humans to mitigate undesirable variations and adapt to inevitable change.
    Print ISSN: 0003-0007
    Electronic ISSN: 1520-0477
    Topics: Geography , Physics
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