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  • 1
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    Carbon, nitrogen and radiocarbon data from permafrost cores of two small Arctic river deltas in northern Alaska (2018)
    PANGAEA
    In:  Supplement to: Fuchs, Matthias; Grosse, Guido; Jones, Benjamin M; Strauss, Jens; Baughman, Carson A; Walker, Donald A (2018): Sedimentary and geochemical characteristics of two small permafrost-dominated Arctic river deltas in northern Alaska. arktos - The Journal of Arctic Geosciences, 4(1), https://doi.org/10.1007/s41063-018-0056-9
    Details
    Publication Date: 2024-07-05
    Description: This data set describes the soil core and sample characteristics from the Ikpikpuk and Fish Creek river delta on the Arctic Coastal Plain in northern Alaska. The collection of the permafrost soil cores and the analysis of the samples are described in Fuchs et al. (2018). Sedimentary and geochemical characteristics of two small permafrost-dominated Arctic river deltas in northern Alaska. This data compilation consists of two data set. The first data set describes the properties of the collected permafrost soil cores from the Ikpikpuk river (IKP) and Fish Creek river (FCR) delta. This includes the coordinates of the nine coring locations, the field measurements of the active- and organic layer thickness at the coring locations, and the length of the collected permafrost core. In addition, soil organic carbon and soil nitrogen stocks and densities derived from the laboratory analyses for the reference depths 0-30 cm, 0-100 cm, 0-150 cm and 0-200 cm are presented in kg C m-2 and in kg C m-3. The second data set provides the raw laboratory data for all the samples of the nine collected permafrost cores in the Ikpikpuk and Fish Creek River Delta. All laboratory analyzes were carried out at the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam. The third data set presents the results from the radiocarbon dating of chosen samples from five different permafrost cores. This includes the AMS radiocarbon date and the calibrated age of a sample. In addition, the sediment and organic carbon accumulation rates for the dated samples are included. This data set allows to calculate the total carbon and nitrogen storage in two small Arctic river deltas (IKP and FCR) for the first two meter of soil and enlarges the available permafrost cores for Arctic river delta deposits.
    Keywords: AWI_PerDyn; Permafrost Research (Periglacial Dynamics) @ AWI; PETA-CARB; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool
    Type: Dataset
    Format: application/zip, 3 datasets
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    DATA PANGAEA
  • 2
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    Measurements in soil and air at Samoylov Station (2002-2018) (2018)
    PANGAEA
    In:  Supplement to: Boike, Julia; Nitzbon, Jan; Anders, Katharina; Grigoriev, Mikhail N; Bolshiyanov, Dimitry Yu; Langer, Moritz; Lange, Stephan; Bornemann, Niko; Morgenstern, Anne; Schreiber, Peter; Wille, Christian; Chadburn, Sarah; Gouttevin, Isabelle; Burke, Eleanor J; Kutzbach, Lars (2019): A 16-year record (2002–2017) of permafrost, active-layer, and meteorological conditions at the Samoylov Island Arctic permafrost research site, Lena River delta, northern Siberia: an opportunity to validate remote-sensing data and land surface, snow, and permafrost models. Earth System Science Data, 11(1), 261-299, https://doi.org/10.5194/essd-11-261-2019
    Details
    Publication Date: 2024-07-05
    Description: Most of the world's permafrost is located in the Arctic, where its frozen organic carbon con-tent makes it a potentially important influence on the global climate system. The Arctic climate appears to be changing more rapidly than the lower latitudes, but observational data density in the region is low. Permafrost thaw and carbon release into the atmosphere is a positive feed-back mechanism that has the potential for climate warming. It is therefore particularly im-portant to understand the links between the energy balance, which can vary rapidly over hour-ly to annual time scales, and permafrost condition, which changes slowly on decadal to cen-tennial timescales. This requires long-term observational data such as that available from the Samoylov research site in northern Siberia, where meteorological parameters, energy balance, and subsurface observations have been recorded since 1998. This paper presents the temporal data set produced between 2002 and 2017, explaining the instrumentation, calibration, pro-cessing and data quality control. Additional data include a high-resolution digital terrain mod-el (DTM) obtained from terrestrial LiDAR laser scanning. Since the data provide observations of temporally variable parameters that influence energy fluxes between permafrost, active lay-er soils, and the atmosphere (such as snow depth and soil moisture content), they are suitable for calibrating and quantifying the dynamics of permafrost as a component in earth system models. The data also include soil properties beneath different microtopographic features (a polygon center, a rim, a slope, and a trough), yielding much-needed information on landscape heterogeneity for use in land surface modeling. For the record from 1998 to 2017, the average mean annual air temperature was -12.3°C, with mean monthly temperature of the warmest month (July) recorded as 9.5°C and for the coldest month (February) -32.7°C. The average annual rainfall was 169mm. The depth of zero annual amplitude niveau is at 20.8m, and has warmed from -9.1°C in 2006 to -7.7°C in 2017.
    Type: Dataset
    Format: application/zip, 5 datasets
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    DATA PANGAEA
  • 3
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    Time series of physical oceanography and carbon dioxide measurements at mooring site POSAR cruise 209920160606 (2018)
    PANGAEA
    In:  Department of Geophysics, Universidad de Chile
    Details
    Publication Date: 2024-07-05
    Keywords: 209920160606; 209920160606-moor; Algorithm; DATE/TIME; Depth, bathymetric, interpolated/gridded; DEPTH, water; Distance; extracted from GLOBALVIEW-CO2; extracted from the 2-Minute Gridded Global Relief Data (ETOPO2); extracted from the NCEP/NCAR 40-Year Reanalysis Project; extracted from the World Ocean Atlas 2005; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); LATITUDE; LONGITUDE; Monitoring station; Mooring (long time); MOORY; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); POSAR_73E_36N_Jun2016_Jul2016; Pressure, atmospheric; Pressure, atmospheric, interpolated; Quality flag; Recomputed after SOCAT (Pfeil et al., 2013); Salinity; Salinity, interpolated; SOCAT; Surface Ocean CO2 Atlas Project; Temperature, water; xCO2 (air), interpolated
    Type: Dataset
    Format: text/tab-separated-values, 10358 data points
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    DATA PANGAEA
  • 4
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    Surface Ocean CO2 Atlas (SOCAT) V6 (2018)
    PANGAEA
    Details
    Publication Date: 2024-07-05
    Description: The Surface Ocean CO2 Atlas (SOCAT) is a synthesis activity by the international marine carbon research community (〉100 contributors). SOCAT version 6 has 23.4 million quality-controlled, surface ocean fCO2 (fugacity of carbon dioxide) observations from 1957 to 2017 for the global oceans and coastal seas. Calibrated sensor data are also available. Automation allows annual, public releases. SOCAT data is discoverable, accessible and citable. SOCAT enables quantification of the ocean carbon sink and ocean acidification and evaluation of ocean biogeochemical models. SOCAT represents a milestone in biogeochemical and climate research and in informing policy.
    Keywords: SOCAT; Surface Ocean CO2 Atlas Project
    Type: Dataset
    Format: application/zip, 424 datasets
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    DATA PANGAEA
  • 5
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    Sediment data from polygon core in the Siberian Arctic (2018)
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Details
    Publication Date: 2024-07-05
    Keywords: Age, dated; Age, dated, error to older; Age, dated, error to younger; AWI_12Kyt-0807-1; AWI_12P-1607-1; AWI_12P-1707-1; AWI_12P-1907-1; AWI_12P-1907-2; AWI_12P-2107-1; AWI_12P-2107-2; AWI_PerDyn; AWI_S-20; AWI_S-36; AWI Arctic Land Expedition; Carbon, inorganic, total; Carbon, organic, total; Carbon, organic, total/Nitrogen, total ratio; Carbon, total; Comment; Comment 2 (continued); DATE/TIME; DEPTH, sediment/rock; Event label; Grain size, mean; Ice content, gravimetric; Kytalyk-Pokhodsk_2012, Kolyma2012; Laboratory code/label; LAND; Latitude of event; Longitude of event; Nitrogen, total; Permafrost Research (Periglacial Dynamics) @ AWI; POK1_C; POK1_W; POK3_C; POK3_W; POK4_C_Kolyma_flood_plain; POK4_W; RU-Land_2012_Kytalyk_Kolyma; Sample code/label; Sampling/measurement on land; Siberia, Russia; Size fraction 〈 0.002 mm, clay; Size fraction 〈 0.010 mm; Size fraction 〈 0.020 mm; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 〈 0.100 mm; Size fraction 〈 0.200 mm; Size fraction 〈 0.630 mm; Size fraction 〈 2.0 mm; Susceptibility, specific; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 1333 data points
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    DATA PANGAEA
  • 6
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    Time series of physical oceanography and carbon dioxide measurements at mooring site POSAR cruise 209920161103 (2018)
    PANGAEA
    In:  Department of Geophysics, Universidad de Chile
    Details
    Publication Date: 2024-07-05
    Keywords: 209920161103; 209920161103-moor; Algorithm; DATE/TIME; Depth, bathymetric, interpolated/gridded; DEPTH, water; Distance; extracted from GLOBALVIEW-CO2; extracted from the 2-Minute Gridded Global Relief Data (ETOPO2); extracted from the NCEP/NCAR 40-Year Reanalysis Project; extracted from the World Ocean Atlas 2005; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); LATITUDE; LONGITUDE; Monitoring station; Mooring (long time); MOORY; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); POSAR_73E_36N_Nov2016_Apr2017; Pressure, atmospheric; Pressure, atmospheric, interpolated; Quality flag; Recomputed after SOCAT (Pfeil et al., 2013); Salinity; Salinity, interpolated; SOCAT; Surface Ocean CO2 Atlas Project; Temperature, water; xCO2 (air), interpolated
    Type: Dataset
    Format: text/tab-separated-values, 44707 data points
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    DATA PANGAEA
  • 7
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    Time series of physical oceanography and carbon dioxide measurements at mooring site POSAR cruise 209920170601 (2018)
    PANGAEA
    In:  Department of Geophysics, Universidad de Chile
    Details
    Publication Date: 2024-07-05
    Keywords: 209920170601; 209920170601-moor; Algorithm; DATE/TIME; Depth, bathymetric, interpolated/gridded; DEPTH, water; Distance; extracted from the 2-Minute Gridded Global Relief Data (ETOPO2); extracted from the NCEP/NCAR 40-Year Reanalysis Project; extracted from the World Ocean Atlas 2005; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); LATITUDE; LONGITUDE; Monitoring station; Mooring (long time); MOORY; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); POSAR_73E_36N_Jun2017_Aug2017; Pressure, atmospheric; Pressure, atmospheric, interpolated; Quality flag; Recomputed after SOCAT (Pfeil et al., 2013); Salinity; Salinity, interpolated; SOCAT; Surface Ocean CO2 Atlas Project; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 5263 data points
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  • 8
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    SOCAT V6 metadata list with links to data in original SOCAT format and cruise documentation files (2018)
    PANGAEA
    Details
    Publication Date: 2024-07-05
    Keywords: 0306SFC_PRT; 061ASFC_PRT; 06AQ19860627-track; 06AQ19860928-track; 06AQ19911114-track; 06AQ19911210-track; 06AQ19921005-track; 06AQ19930128-track; 06AQ19930228-track; 06AQ19931019-track; 06AQ19940524-track; 06AQ19951112-track; 06AQ19960320-track; 06AQ19980411-track; 06AQ19990327-track; 06AQ20001004-track; 06AQ20001026-track; 06AQ20021126-track; 06AQ20021214-track; 06AQ20071203-track; 06AQ20080209-track; 06AQ20080416-track; 06AQ20080624-track; 06AQ20080705-track; 06AQ20090109-track; 06AQ20090322-track; 06AQ20090413-track; 06AQ20090622-track; 06AQ20090711-track; 06AQ20090806-track; 06AQ20091023-track; 06AQ20091129-track; 06AQ20100131-track; 06AQ20100408-track; 06AQ20101026-track; 06AQ20110617-track; 06AQ20110715-track; 06AQ20110806-track; 06AQ20111214-track; 06AQ20120108-track; 06AQ20120318-track; 06AQ20120411-track; 06AQ20120615-track; 06AQ20120716-track; 06AQ20120803-track; 06AQ20131110-track; 06AQ20131221-track; 06AQ20140309-track; 06AQ20140608-track; 06AQ20140707-track; 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    Type: Dataset
    Format: text/tab-separated-values, 87248 data points
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  • 9
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    Hoya fauziana ssp. angulata (Apocynaceae, Asclepiadoideae), a new subspecies from Borneo and Sumatra (2018)
    In:  Blumea: Biodiversity, Evolution and Biogeography of Plants vol. 63, pp. 144-146
    Details
    Publication Date: 2024-07-05
    Description: A new Hoya subspecies from Borneo and Sumatra, Hoya fauziana ssp. angulata is described and illustrated. Both subspecies of Hoya fauziana have long lanceolate leaves, pubescent corollas and prominent ovoid corona lobes. They can be separated by the orientation of the pedicels (straight in H. fauziana ssp. fauziana and angled in H. fauziana ssp. angulata) and the type and position of pubescence of the corolla (tube and lobes pubescent with evident sericeous hairs in H. fauziana ssp. fauziana vs only tube finely pubescent in H. fauziana ssp. angulata).
    Keywords: Asclepiadaceae ; epiphyte ; hill Dipterocarp forest ; Indonesia ; Kalabakan ; Kalimantan ; Malaysia ; Sabah ; Southeast Asia
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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  • 10
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    Bruguiera × dungarra, a new hybrid between mangrove species B. exaristata and B. gymnorhiza (Rhizophoraceae) recently discovered in north-east Australia (2018)
    In:  Blumea: Biodiversity, Evolution and Biogeography of Plants vol. 63, pp. 279-285
    Details
    Publication Date: 2024-07-05
    Description: Bruguiera × dungarra (Rhizophoraceae), a previously undescribed hybrid species between B. exaristata and B. gymnorhiza is recorded from north-eastAustralia. Eight taxa are currently recognised in this Indo West Pacific genus, including three putative hybrids. The newly described hybrid is widely occurring, and it is described here with notes provided on typification, phenology, distribution and habitat. A revised identification key to all Bruguiera taxa is presented, along with a table of comparative diagnostic characters.
    Keywords: Bruguiera × dungarra ; hybrid ; identification key ; intermediate ; mangrove ; Rhizophoraceae ; taxonomy
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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