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  • 1
    Publication Date: 2024-07-05
    Description: The German Research Centre for Geosciences (GFZ) in Potsdam hosts a CAMECA 1280-HR large geometry secondary ion mass spectrometer (SIMS) with a web-based user node at the University of the Witwatersrand, South Africa. A major theme of our facility is high-precision, high-accuracy, high-spatial resolution analyses of light isotope ratios in a variety of natural and experimental materials. The latest analytical developments from the GFZ SIMS laboratory focus on the development, assessment and use of new reference materials for stable isotope analysis. Particularly for oxygen, our repeatability from 15-µm diameter domains is now typically better than ±0.15‰ (1s). However, the total uncertainty on such analyses is commonly larger because of significant differences (in some cases more than one ‰) among the isotope ratios of reference materials reported by multiple, highly regarded gas source mass spectrometry laboratories. This issue of interlaboratory bias during reference material characterization inevitably impacts all in situ data employing such materials and must be duly considered.
    Type: info:eu-repo/semantics/conferenceObject
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  • 2
    Publication Date: 2024-07-05
    Description: Time series off Concepcion (Chile) was initiated on half 2002 by Concepción University (Chile) in order to characterize the main scales of temporal variability of main biogeochemical carbon (C )and nitrogen (N) cycling at a single location and relate them to physical processes (i.e. El Niño-Southern Oscillation, ENSO). The central area off Chile has the widest continental shelf of Chile, extended about 40 km offshore. This system presents other important features: it is under the influence of wind-driven coastal upwelling with a strong seasonal pattern and it is certainly one of most productive regions in the ocean and also is characterized by a semi-permanent (fluctuating in extension) oxygen minimum zone (OMZ) extending from ca. 30 m depth down to depth, which bath the shelf sediments. Its hydrographic structure is strongly affected by runoff from the Itata and Bio Bio river (up to 3000 m3 s-1) with maximum discharges during winter. This data report was focussed on nitrous oxide (N2O) measurements and ancillary variables at monthly frequency to determine how changes in the nutricline, oxycline and others control N2O distribution. Starting on July 2002 the time series was initiated with a single station located off Dichato, corresponding to Station 18, located at 36º30,8' S - 73º07,7' W, with a depth of 90 m depth. At this station, a CTD with oxygen sensor (CTDO) was deployed from surface to near the bottom and water samples was obtained with 10L Niskin bottles, at the following discrete depth: surface, 5, 10, 15, 20, 30, 50, 65, 80 m depth. Nitrate and N2O (a greenhouse gas) was included in the measurement using methodology delineated by Farías et al. (2015). This dataset includes data that was collected with the research vessel KAY KAY II between 2016 and 2020.
    Keywords: Conception_time-series; Cruise/expedition; CTD, Sea-Bird, SBE 19plus; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; dissolved oxygen; Event label; Fluorescence; Fluorometer, Turner Designs, 10-AU; Gas chromatograph with an electron capture detector (GC-ECD); Kay Kay II; KKII_2016-2020; LATITUDE; LONGITUDE; nitrate; Nitrate; Nitrite; nitrous oxide; Nitrous oxide; oceanographic variables; Oxygen, dissolved; Salinity; SEAL AA3 autoanalyzer; Temperature, water; Time series
    Type: Dataset
    Format: text/tab-separated-values, 3377 data points
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  • 3
    Publication Date: 2024-07-05
    Description: Along the ice rich pan-Arctic permafrost coasts thermokarst lagoons are a common landscape feature. These lagoons form when thermokarst lakes are inundated permanently or intermittently by the sea. This is the first estimation of the area of pan-Arctic thermokarst lagoons based on the mapping of 79 lagoons in 5 representative arctic regions: Mackenzie Delta (CA), Theshekpuk Lake coast (USA), Baldwin Peninsula (USA), Tiksi coast (RU), Lena Delta (RU). The extent of each of the lagoons was determined using the Global Surface Water dataset which is based on Landsat-5, -7, and -8 satellite images from 1984 to 2018 at 30m resolution (Pekel et al., 2016). Water bodies were defined by a water occurrence threshold of 〉75% over this time period. The raster dataset was vectorized and smaller geometric errors, which occurred during vectorization, were solved with the Fix Geometry function in QGIS3.6. The lagoon polygons were selected manually and these water bodies were split from the ocean by using the function “split by line”. The calculation of the polygon area is based on the re-projection in EPSG:32608, EPSG:26905, EPSG:32604, EPSG:32652 for Mackenzie Delta, Teshekpuk Lake coast, Baldwin Peninsula, Tiksi and Lena Delta coast respectively. The lagoon selection is based on the published dataset https://doi.org/10.1594/PANGAEA.934158. The dataset consists of a polygon shape file for the 79 extracted thermokarst lagoons, a point shape file with coordinates for all lagoons and a data sheet.
    Keywords: Arctic_lagoons_1984-2018; Arctic lagoons; Binary Object; Binary Object (File Size); CACOON; Carbon in Permafrost / Kohlenstoff im Permafrost; Changing Arctic Carbon cycle in the cOastal Ocean Near-shore; distribution; File content; KoPF; lagoon area; Permafrost; PETA-CARB; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; Satellite imagery; SATI; size
    Type: Dataset
    Format: text/tab-separated-values, 6 data points
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  • 4
    Publication Date: 2024-07-05
    Description: This data set has biological measurements and stomach content analysis for fourteen specimens of Centrolophus niger which were frozen whole at sea during the Icelandic part of the International Ecosystem Summer Survey in Nordic Seas (IESSNS) in July 2017 and July 2021. In 2017, three specimens were collected to confirm species identification by a specialist at home institute. In 2021, all caught specimens were collected for detailed biological study. The C. niger were by-catch in a scientific pelagic ecosystem survey which includes trawling, cod-end mesh size 50 mm, in the surface layer, trawl headline visible in surface and foot rope at approximately 35 m depth. Four images are provided for each specimen, proximal and distal side of both left and right otolith. For detailed information about the surveys see the cruise reports attached to the campaigns. The data is provided by the Marine and Freshwater Research Institute (MFRI) in Iceland.
    Keywords: A10-2017; A10-2017_305; A12-2021; A12-2021_327; A12-2021_330; A12-2021_335; A12-2021_339; A12-2021_343; Arni Fridriksson; Centrolophus niger; Centrolophus niger, otolith side; Centrolophus niger, otolith surface side; Event label; IESSNS_2017; IESSNS_2021; Image; Image (File Size); Image (MD5 Hash); mesopelagic; Multipurpose pelagic trawl - 832; MULTPELT-832; Nordic Seas; prey; rare; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Specimen identification; Stomach contents; SUMMER; Sustainable Management of Mesopelagic Resources; VID; Visual identification
    Type: Dataset
    Format: text/tab-separated-values, 280 data points
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  • 5
    Publication Date: 2024-07-05
    Description: Arctic warming increases the degradation of permafrost soils but little is known about floodplain soils and other permafrost soils in the permafrost region. This dataset present soil properties from twelve analyzed cores located in the northeastern Siberian Lena River Delta within the continuous permafrost zone in northern Yakutia, Russia that were sampled in 2018. The cores represent intact yedoma, yedoma thaw slumps, and floodplain profiles. The soil coring and sampling was carried out in August 2018 for a total of 30 soil cores, 35 soil profiles, and 341 sediment samples. First, vegetation and other characteristics of the plots were described. Then, the active layer soils were excavated, described, and sampled with a fixed volume cylinder (250 cm³). Then the permafrost layers were sampled with a modified, snow, ice, and permafrost (SIPRE) auger to a depth of 1 m (core diameter of 7.62 cm) and visually described in their characteristics. Each core was divided into subsamples with 5-10 cm length according to its facies horizons, transported frozen to Alfred Wegener Institute in Potsdam, and stored at -20 °C until analysis. A subset of these sediment samples (n=105 from 12 cores) were later analyzed in the laboratory for physical and chemical properties; this data is presented here. The analysis from these samples includes: water content, dry bulk density, gravimetric ice content, pH, conductivity, total organic carbon content, total inorganic carbon content, total carbon content, total nitrogen content, carbon density, TOC storage, and TN storage. Selected samples were further analyzed for radiocarbon and grain size analysis.
    Keywords: 13; 14; 15; 16; 17; 18; 19; 20; 21; 22; 24; 25; Accelerator mass spectrometry, Ionplus, Mini Carbon Dating System (MiCaDaS AWI); AGE; Age, error; Arctic Tundra; AWI Arctic Land Expedition; Calculated; Calculated from dry bulk density and TC; Calculated from dry bulk density and TN; Calculated from dry bulk density and TOC; Calculated from wet mass and water content; Carbon, inorganic, total; Carbon, organic, total; Carbon, organic, total, storage; Carbon, total; Carbon, total/Nitrogen, total ratio; Carbon Analyzer, Elementar, soli TOC cube; Carbon density, soil; Carbon in Permafrost / Kohlenstoff im Permafrost; CARBOPERM; Clay; Comment; Conductivity, electrolytic; DATE/TIME; Density, dry bulk; DEPTH, soil; Depth, soil, maximum; Depth, soil, minimum; DIN 4022; Distribution; Dry mass; Event label; Flood plain; FluxWIN; Formation, turnover and release of carbon in Siberian permafrost landscapes; Fraction modern carbon; Gear; Grain Size; Grain size, mean; Grain size, mean, standard deviation; Grain size description; Ice content, gravimetric; incubation; KoPF; KUR18-P13-YED; KUR18-P14-SLU; KUR18-P15-YED; KUR18-P16-SLO; KUR18-P17-FLO; KUR18-P18-SAN; KUR18-P19-GRA; Kurungnakh; Lena 2018; Length; Methane emissions; Multi-parameter meter, Xylem Analytics, MultiLab 540; Name; Nitrogen, total; Nitrogen Analyzer, Elementar, rapid MAX N exceed; Nitrogen density, soil; Particle size analyzer, Malvern Panalytical, Mastersizer 3000 laser; permafrost carbon storage; permafrost soil; pH; radiocarbon; RU-Land_2018_Lena; SAM18-P20-LSH; SAM18-P21-HST; SAM18-P22-SAN; SAM18-P24-NEI; SAM18-P25-ABC; Samoylov Islands; Sample ID; Sample number; Sample volume; Sand; Section; Silt; Soil organic carbon storage; SOILS; Soil sample; Soil total nitrogen storage; Sorting description; Texture; The role of non-growing season processes in the methane and nitrous oxide budgets in pristine northern ecosystems; Type; Water content, relative; Water loss per dry weight; Wet mass; Yedoma; δ13C; δ14C
    Type: Dataset
    Format: text/tab-separated-values, 3696 data points
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  • 6
    Publication Date: 2024-07-05
    Description: Hydrographic data and seawater samples were collected in four stations along a cross-shore transect in front of the Port of Mazatlán (Mexico) during the oceanographic cruises Maz IV (April 2018) and Maz V (April 2019) on board the R/V “El Puma” (UNAM). Temperature, dissolved oxygen, salinity, and chlorophyll-a fluorescence profiles were measured with a SBE-19plus CTD probe equipped with a WET labs fluorometer sensor. Seawater samples for nutrient analyses were collected at different depths based on the oxygen and chlorophyll-a profiles: surface (5 m depth); mixed layer, deep chlorophyll maximum (at 10–45 m depth); oxycline, base of the oxycline (at 60–125 m depth); upper OMZ (only for Maz V); OMZ core (at 250 m depth); and bottom (between 23 m depth in S1 and 670 m depth in S4). Seawater samples were filtered through cellulose acetate syringe filters (0.22-μm pore, Merck Millipore) and nutrient analyses were determined using a Skalar San-Plus segmented-flow autoanalyzer.
    Keywords: Campaign; Chlorophyll a; CTD, Sea-Bird, SBE 19plus; CTD, Sea-Bird, SBE 25plus; Date/Time of event; Depth, description; DEPTH, water; El Nino Southern Oscillation; El Puma; Event label; Latitude of event; Longitude of event; Maz_IV_S1; Maz_IV_S2; Maz_IV_S3; Maz_IV_S4; Maz_V_S1; Maz_V_S2; Maz_V_S3; Maz_V_S4; Maz IV; Maz V; Mexican Pacific; Nitrate; nitrogen genes; Nitrogen in ammonium; Nitrogen in nitrite; Oxygen; oxygen minimum zone; Phosphorus in orthophosphate; Port of Mazatlán; prokaryotic community; Salinity; Sample code/label; Segmented flow auto-analyzer, Skalar Analytical B.V, San++; Silicon dioxide; Station label; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 585 data points
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  • 7
    Publication Date: 2024-07-05
    Description: Seawater samples were collected with 10-L Niskin bottles in four stations along a cross-shore transect in front of the Port of Mazatlán (Mexico) during the oceanographic cruises Maz IV (April 2018) and Maz V (April 2019) on board the R/V “El Puma” (UNAM). Samples for molecular analyses (16S rRNA sequences) were collected at different depths based on the oxygen and chlorophyll-a profiles: surface (5 m depth); deep chlorophyll maximum (at 10–45 m depth, except in the coastal station S1 of Maz V where a sample was collected at the mixed layer); base of the oxycline (at 60–125 m depth); OMZ core (only for Maz IV at 250 m depth); and bottom (between 23 m depth in S1 and 670 m depth in S4). Water samples were filtered on board through polycarbonate membranes (0.22-μm pore, Merck Millipore). Genomic DNA was extracted with the DNeasy PowerWater Kit (Qiagen). The V3–V4 region of the 16S rRNA gene was amplified using the index and adaptor-linked primers Bakt_341F and Bakt_805R, and then sequenced using a 2 × 300 bp paired-end Illumina Miseq system. Amplicon libraries were analyzed with the software QIIME 2.
    Keywords: Campaign; Clade; CTD, Sea-Bird, SBE 19plus; Date/Time of event; Depth, description; El Nino Southern Oscillation; El Puma; Event label; Latitude of event; Longitude of event; Maz_IV_S1; Maz_IV_S2; Maz_IV_S3; Maz_IV_S4; Maz_V_S1; Maz_V_S2; Maz_V_S3; Maz_V_S4; Maz IV; Maz V; Mexican Pacific; MiSeq sequencer (DNA sequencer); nitrogen genes; oxygen minimum zone; Port of Mazatlán; prokaryotic community; Sample code/label; Sequence abundance; Station label
    Type: Dataset
    Format: text/tab-separated-values, 11328 data points
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  • 8
    Publication Date: 2024-07-05
    Description: This data set has biological measurements and stomach content analysis for fourteen specimens of Centrolophus niger which were frozen whole at sea during the Icelandic part of the International Ecosystem Summer Survey in Nordic Seas (IESSNS) in July 2017 and July 2021. In 2017, three specimens were collected to confirm species identification by a specialist at home institute. In 2021, all caught specimens were collected for detailed biological study. The C. niger were by-catch in a scientific pelagic ecosystem survey which includes trawling, cod-end mesh size 50 mm, in the surface layer, trawl headline visible in surface and foot rope at approximately 35 m depth. For detailed information about the surveys see the cruise reports attached to the campaigns. The data is provided by the Marine and Freshwater Research Institute (MFRI) in Iceland.
    Keywords: Centrolophus niger; mesopelagic; prey; rare; Stomach contents; SUMMER; Sustainable Management of Mesopelagic Resources
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 9
    Publication Date: 2024-07-05
    Description: This is a hydrographic dataset containing CTD cast and rosette bottle data from two consecutive cruises (NEG2017 and NorthGreen) on the research vessel RV Dana between 23-08-2017 and 01-10-2017 of 2017 on the Northeast Greenland shelf. Both cruises took place between 73.3197 to 80.0519 latitude and 2.1011 to 21.2039 longitude (decimal). The NEG2017 cruise took place from 23 August 2017 to 11 September 2017 was part of the Strategic Environmental program for Northeast Greenland with as its goal to provide environmental impact information pertaining to potential oil exploitation and oil spill response activities in the region. The cruise leader for NEG2017 was Eva Friis Møller. The NorthGreen2017 cruise took place directly after the first between 11 September 2017 and 1 October 2017. It aimed to collect data pertaining to hydroraphical and environmental changes on the shelf. The cruise leader for the NorthGreen2017 cruise was Marit-Solveig Seidenkrantz.
    Keywords: CTD/Casts; CTD/Rosette; Northeast Greenland
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 10
    Publication Date: 2024-07-05
    Description: Seawater samples were collected in four stations along a cross-shore transect in front of the Port of Mazatlán (Mexico) during the oceanographic cruise Maz V (April 2019) on board the R/V “El Puma” (UNAM). Samples were collected at different depths based on the oxygen and chlorophyll-a profiles: surface (5 m depth); mixed layer, deep chlorophyll maximum (at 10–45 m depth); oxycline, base of the oxycline (at 60–125 m depth); upper OMZ; OMZ core (at 250 m depth); and bottom (between 23 m depth in S1 and 670 m depth in S4). Total N and P were determined using a Skalar San-Plus segmented-flow autoanalyzer. Dissolved gases were analyzed through the addition of 5 mL of ultrapure helium into the vials to generate a static-headspace equilibration. N2O was analyzed with a Varian 3380 gas chromatograph using an electron capture detector. CH4 was analyzed with a Schimadzu 17A gas chromatograph with a flame ionization detector and a capillary column.
    Keywords: Campaign; CTD, Sea-Bird, SBE 19plus; Depth, description; DEPTH, water; El Nino Southern Oscillation; El Puma; Event label; Gas chromatograph, Shimadzu, 17A; Gas chromatograph, Varian, Inc.. 3380; Maz_V_S1; Maz_V_S2; Maz_V_S3; Maz_V_S4; Maz V; Methane, dissolved; Mexican Pacific; Nitrogen, total; nitrogen genes; Nitrous oxide, dissolved; oxygen minimum zone; Phosphorus, total; Port of Mazatlán; prokaryotic community; Sample code/label; Segmented flow auto-analyzer, Skalar Analytical B.V, San++; Station label
    Type: Dataset
    Format: text/tab-separated-values, 192 data points
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