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  • PANGAEA  (423,080)
  • Frontiers Media SA
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  • 1
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    Sedimentation and mineral analysis on sediment cores from the Lena Delta (2002)
    PANGAEA
    In:  Supplement to: Schwamborn, Georg; Rachold, Volker; Grigoriev, Mikhail N (2002): Late Quaternary Sedimentation History of the Lena Delta. Quaternary International, 89(1), 119-134, https://doi.org/10.1016/S1040-6182(01)00084-2
    Details
    Publication Date: 2024-06-19
    Description: Core and outcrop analysis from Lena mouth deposits have been used to reconstruct the Late Quaternary sedimentation history of the Lena Delta. Sediment properties (heavy mineral composition, grain size characteristics, organic carbon content) and age determinations (14C AMS and IR-OSL) are applied to discriminate the main sedimentary units of the three major geomorphic terraces, which form the delta. The development of the terraces is controlled by complex interactions among the following four factors: (1) Channel migration. According to the distribution of 14C and IR-OSL age determinations of Lena mouth sediments, the major river runoff direction shifted from the west during marine isotope stages 5-3 (third terrace deposits) towards the northwest during marine isotope stage 2 and transition to stage 1 (second terrace), to the northeast and east during the Holocene (first terrace deposits). (2) Eustasy. Sea level rise from Last Glacial lowstand to the modern sea level position, reached at 6-5 ka BP, resulted in back-filling and flooding of the palaeovalleys. (3) Neotectonics. The extension of the Arctic Mid-Ocean Ridge into the Laptev Sea shelf acted as a halfgraben, showing dilatation movements with different subsidence rates. From the continent side, differential neotectonics with uplift and transpression in the Siberian coast ridges are active. Both likely have influenced river behavior by providing sites for preservation, with uplift, in particular, allowing accumulation of deposits in the second terrace in the western sector. The actual delta setting comprises only the eastern sector of the Lena Delta. (4) Peat formation. Polygenetic formation of ice-rich peaty sand (''Ice Complex'') was most extensive (7-11 m in thickness) in the southern part of the delta area between 43 and 14 ka BP (third terrace deposits). In recent times, alluvial peat (5-6 m in thickness) is accumulated on top of the deltaic sequences in the eastern sector (first terrace).
    Keywords: Arga Island; AWI_PerDyn; AWI Arctic Land Expedition; ChekanovskyHighl; HAND; Laptev Sea System; LD00-1316-1; LD00-1316-2; LD00-1316-3; LD98-D01; LD98-D06; LD98-D07; LD98-D08; LD98-D10; LD98-S04; LD98-S05; LD98-S06; Lena-Delta1998; Lena-Delta1999; Lena-Delta2000; LSS; minerals; Nikolay Lake, Lena Delta, Russia; Olenyok Channel; PERM; Permafrost Research (Periglacial Dynamics) @ AWI; PG1440; radiocarbon; RCD; river delta; Rotary core drilling; RU-Land_1998_Lena; RU-Land_1999_Lena; RU-Land_2000_Lena; Samoylov Island, Lena Delta, Siberia; Sampling by hand; Sampling permafrost; Sardakh Channel; Sediment core; sediments; Seismic, shallow profile; SEISS
    Type: Dataset
    Format: application/zip, 14 datasets
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  • 2
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    Mineralogy and isotope chemistry of GISP2 and potential source areas (1997)
    PANGAEA
    In:  Supplement to: Biscaye, Pierre Eginton; Grousset, Francis E; Revel, Marie; van der Gaast, Sjierk; Zielinski, G A; Vaars, A; Kukla, George J (1997): Asian provenance of glacial dust (stage 2) in the Greenland Ice Sheet Project 2 ice core, Summit, Greenland. Journal of Geophysical Research: Oceans, 102(C12), 26765-26782, https://doi.org/10.1029/97JC01249
    Details
    Publication Date: 2024-06-19
    Description: Samples of dust from the Greenland Ice Sheet Project 2 (GISP2) ice core, Summit, Greenland, dated within marine isotope stage 2 (between 23,340 and 26,180 calendar years B.P.) around the time of the coldest, local, last glacial temperatures, have been analyzed to determine their provenance. To accomplish this, we have compared them with approximately Coeval aeolian sediments (mostly loesses) sampled in possible source areas (PSAs) from around the northern hemisphere. The 〈5-µm grain-size fraction of these samples was analyzed on the basis that it corresponds to the atmospheric dust component of that time and locale, which was sufficiently fine grained to be transported over long distances. On the basis of comparison of the clay mineralogy and Sr, Nd and Pb isotope composition with ice dust and PSAs and assuming that we have sampled the most important PSAs, we have determined that the probable source area of these GISP2 dusts was in eastern Asia. The dust was not derived from either the midcontinental United States or the Sahara, two more proximal areas that have been suggested as potential sources based on atmospheric circulation modeling. Except for a brief period during an interstadial, when dust transport was exceptionally low (for glacial times) and had a mineralogical composition indicative of a slightly more southern provenance, the source area of the dust did not change significantly during times of variably higher fluxes of dust with larger mean grain size or lower fluxes of dust with smaller mean grain size. This includes the high-dust period that correlates with the Heinrich 2 period of major iceberg discharge into the North Atlantic. Variable wind strengths must therefore be invoked to account for these abrupt and significant changes in dust flux and grain size.
    Keywords: DRILL; Drilling/drill rig; Fairbanks; GISP; GISP2; GISPRefSamp245-5; GISPRefSamp245-6; GISPRefSamp248-1; GISPRefSamp248-2; GISPRefSamp248-3; GISPRefSamp248-4; GISPRefSamp248-5; GISPRefSamp248-6; GISPRefSamp248-7; GISPRefSamp248-8; GISPRefSamp251-3; GISPRefSamp251-4; GISPRefSamp251-5; GISPRefSamp251-6; Gobi Desert; Greenland Ice Core Projects; GRIP/GISP/NGRIP; HAND; Illinois, United States of America; Sampling/drilling ice; Sampling by hand; Shaanxi; Toronto; Ukraine; Washington, USA
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 3
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    Organic carbon and total nitrogen stocks in soils of the Lena River Delta (2013)
    PANGAEA
    In:  Supplement to: Zubrzycki, Sebastian; Kutzbach, Lars; Grosse, Guido; Desyatkin, Alexey; Pfeiffer, Eva-Maria (2013): Organic carbon and total nitrogen stocks in soils of the Lena River Delta. Biogeosciences, 10(6), 3507-3524, https://doi.org/10.5194/bg-10-3507-2013
    Details
    Publication Date: 2024-06-19
    Description: The Lena River Delta, which is the largest delta in the Arctic, extends over an area of 32 000 km**2 and likely holds more than half of the entire soil organic carbon (SOC) mass stored in the seven major deltas in the northern permafrost regions. The geomorphic units of the Lena River Delta which were formed by true deltaic sedimentation processes are a Holocene river terrace and the active floodplains. Their mean SOC stocks for the upper 1 m of soils were estimated at 29 kg/m**2 ± 10 kg/m**2 and at 14 kg/m**2 ± 7 kg/m**2, respectively. For the depth of 1 m, the total SOC pool of the Holocene river terrace was estimated at 121 Tg ± 43 Tg, and the SOC pool of the active floodplains was estimated at 120 Tg ± 66 Tg. The mass of SOC stored within the observed seasonally thawed active layer was estimated at about 127 Tg assuming an average maximum active layer depth of 50 cm. The SOC mass which is stored in the perennially frozen ground at the increment 50-100 cm soil depth, which is currently excluded from intense biogeochemical exchange with the atmosphere, was estimated at 113 Tg. The mean nitrogen (N) stocks for the upper 1 m of soils were estimated at 1.2 kg/m**2 ± 0.4 kg/m**2 for the Holocene river terrace and at 0.9 kg/m**2 ± 0.4 kg/m**2 for the active floodplain levels, respectively. For the depth of 1 m, the total N pool of the river terrace was estimated at 4.8 Tg ± 1.5 Tg, and the total N pool of the floodplains was estimated at 7.7 Tg ± 3.6 Tg. Considering the projections for deepening of the seasonally thawed active layer up to 120 cm in the Lena River Delta region within the 21st century, these large carbon and nitrogen stocks could become increasingly available for decomposition and mineralization processes.
    Type: Dataset
    Format: application/zip, 29 datasets
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  • 4
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    Soil organic carbon storage and soil properties for 50 soil profiles in the Lena River Delta including land form description and map (2016)
    PANGAEA
    In:  Department of Physical Geography, University of Stockholm | Supplement to: Siewert, Matthias Benjamin; Hugelius, Gustaf; Heim, Birgit; Faucherre, Samuel (2016): Landscape controls and vertical variability of soil organic carbon storage in permafrost-affected soils of the Lena River Delta. CATENA, 147, 725-741, https://doi.org/10.1016/j.catena.2016.07.048
    Details
    Publication Date: 2024-06-19
    Description: To project the future development of the soil organic carbon (SOC) storage in permafrost environments, the spatial and vertical distribution of key soil properties and their landscape controls needs to be understood. This article reports findings from the Arctic Lena River Delta where we sampled 50 soil pedons. These were classified according to the U.S.D.A. Soil Taxonomy and fall mostly into the Gelisol soil order used for permafrost-affected soils. Soil profiles have been sampled for the active layer (mean depth 58 ± 10 cm) and the upper permafrost to one meter depth. We analyze SOC stocks and key soil properties, i.e. C%, N%, C/N, bulk density, visible ice and water content. These are compared for different landscape groupings of pedons according to geomorphology, soil and land cover and for different vertical depth increments. High vertical resolution plots are used to understand soil development. These show that SOC storage can be highly variable with depth. We recommend the treatment of permafrost-affected soils according to subdivisions into: the surface organic layer, mineral subsoil in the active layer, organic enriched cryoturbated or buried horizons and the mineral subsoil in the permafrost. The major geomorphological units of a subregion of the Lena River Delta were mapped with a land form classification using a data-fusion approach of optical satellite imagery and digital elevation data to upscale SOC storage. Landscape mean SOC storage is estimated to 19.2 ± 2.0 kg C/m**2. Our results show that the geomorphological setting explains more soil variability than soil taxonomy classes or vegetation cover. The soils from the oldest, Pleistocene aged, unit of the delta store the highest amount of SOC per m2 followed by the Holocene river terrace. The Pleistocene terrace affected by thermal-degradation, the recent floodplain and bare alluvial sediments store considerably less SOC in descending order.
    Keywords: Changing Permafrost in the Arctic and its Global Effects in the 21st Century; PAGE21
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 5
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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: 2024-06-19
    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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  • 6
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    Frictional and mechanical properties for a wide range of geologic materials related to cation exchange capacity (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Natural faults are known to host a wide range of mineral types, with a wide range of fault strength (quantified by the coefficient of friction) and friction velocity-dependence (quantified by the parameter a-b). In particular the velocity-dependence of friction is important because it partially determines the style of fault slip, from stable creep through a family of slow slip or slow earthquakes, to fast earthquakes. We use a chemical approach related to water-rock interactions. We measured the cation exchange capacity (CEC) of 10 different rock and mineral standards, including non-clays and a range of phyllosilicate minerals. We use the CEC as a proxy for the mineral surface charge and the ability to bind water to the mineral surfaces. For these materials, we conducted laboratory shearing experiments measuring the pre-shear cohesion, peak friction coefficient, residual friction coefficient, post-shear cohesion under 10 MPa effective normal stress. The velocity-dependence of friction a-b was determined from 3-fold velocity step increases in the range 0.1-30 µm/s.
    Keywords: cation exchange capacity; Center for Marine Environmental Sciences; cohesion; EXP; Experiment; fault; friction; Laboratory-experiments; MARUM; rate-and-state friction; water-rock reactions
    Type: Dataset
    Format: application/zip, 9 datasets
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  • 7
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    Sample site characteristics including mean SOC and SN for permafrost cores collected on Sobo-Sise Island and Bykovsky Peninsula (2017)
    PANGAEA
    In:  Supplement to: Fuchs, Matthias; Grosse, Guido; Strauss, Jens; Günther, Frank; Grigoriev, Mikhail N; Maximov, Georgy M; Hugelius, Gustaf (2018): Carbon and nitrogen pools in thermokarst-affected permafrost landscapes in Arctic Siberia. Biogeosciences, 15(3), 953-971, https://doi.org/10.5194/bg-15-953-2018
    Details
    Publication Date: 2024-06-19
    Description: Ice rich Yedoma-dominated landscapes store considerable amounts of organic carbon (C) and nitrogen (N) and are vulnerable to degradation under climate warming. We investigate the C and N pools in two thermokarst-affected Yedoma landscapes - on Sobo-Sise Island and on Bykovsky Peninsula in the North of East Siberia. Soil cores up to three meters depth were collected along geomorphic gradients and analysed for organic C and N contents. A high vertical sampling density in the profiles allowed the calculation of C and N stocks for short soil column intervals and enhanced understanding of within-core parameter variability. Profile-level C and N stocks were scaled to the landscape level based on landform classifications from five-meter resolution, multispectral RapidEye satellite imagery. Mean landscape C and N storage in the first meter of soil for Sobo-Sise Island is estimated to be 20.2 kg C/m**-2 and 1.8 kg N/m**-2 and for Bykovsky Peninsula 25.9 kg C/m**-2 and 2.2 kg N/m**-2. Radiocarbon dating demonstrates the Holocene age of thermokarst basin deposits but also suggests the presence of thick Holocene aged cover layers which can reach up to two meters on top of intact Yedoma landforms. Reconstructed sedimentation rates of 0.10 mm/yr - 0.57 mm/yr suggest sustained mineral soil accumulation across all investigated landforms. Both Yedoma and thermokarst landforms are characterized by limited accumulation of organic soil layers (peat). We further estimate that an active layer deepening by about 100 cm will increase organic C availability in a seasonally thawed state in the two study areas by ~5.8 Tg (13.2 kg C/m**-2). Our study demonstrates the importance of increasing the number of C and N storage inventories in ice-rich Yedoma and thermokarst environments in order to account for high variability of permafrost and thermokarst environments in pan-permafrost soil C and N pool estimates.
    Keywords: AWI_PerDyn; Permafrost Research (Periglacial Dynamics) @ AWI
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 8
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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: 2024-06-19
    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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  • 9
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    Basic measurements of radiation at station Tamanrasset (2000-03 et seq) (2024)
    PANGAEA
    In:  National Meteorological Office of Algeria
    Details
    Publication Date: 2024-06-19
    Description: This is a compilation of all short-wave and long-wave radiation datasets from Tamanrasset that were and are published in the frame of BSRN. New data will be added regularly. The data are subject to the data release guidelines of BSRN (https://bsrn.awi.de/data/conditions-of-data-release/).
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; Monitoring station; MONS; TAM; Tamanrasset
    Type: Dataset
    Format: application/zip, 291 datasets
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  • 10
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    Continuous temperature observations in surface sediment within DynaCom experimental islands and saltmarsh enclosed plots at different elevation levels, Spiekeroog, Germany, 2021-01 to 2023-09 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Data presented here were collected between January 2021 to September 2023 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Temperature in the sediment surface layer (in approximately 0.05m depth) was measured with DEFI-T miniature temperature recorders (JFE Advantech Co., Ltd., Tokyo; DEFI-T). The manufacturer pre-calibrated temperature recorders and were installed on the experimental islands and in salt-marsh enclosed plots at different elevation levels. Recorded data were internally logged until the readout with the DEFI Series software (V1.02). The position was derived from a portable DGPS-system. Date and Time is given in UTC. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
    Keywords: BEFmate; biodiversity - ecosystem functioning; DynaCom; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; Metacommunity; salt marsh; SCO; Spiekeroog; Spiekeroog Coastal Observatory; Temperature
    Type: Dataset
    Format: application/zip, 27 datasets
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  • 11
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    Length and mass measurements of individual fish and sponges from long line fishing onboard the fishing vessel Øyfisk during cruise IMR-2009813 (2011)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Keywords: Age, relative, number of years; CoralFISH; Date/Time of event; Ecosystem based management of corals, fish and fisheries in the deep waters of Europe and beyond; Event label; HL1-1/73001; HL1-2/73002; HL1-3/73009; HL1-4/73010; HL2-1/73005; HL2-2/73006; HL2-3/73013; HL2-4/73014; IMR-2009813; IMR-2009813_2009-06-15T07:10; IMR-2009813_2009-06-15T10:41; IMR-2009813_2009-06-15T15:39; IMR-2009813_2009-06-16T04:07; IMR-2009813_2009-06-16T06:45; IMR-2009813_2009-06-16T10:30; IMR-2009813_2009-06-16T14:34; IMR-2009813_2009-06-17T04:04; IMR-2009813_2009-06-17T06:36; IMR-2009813_2009-06-17T10:32; IMR-2009813_2009-06-17T13:35; IMR-2009813_2009-06-17T16:52; IMR-2009813_2009-06-18T04:01; IMR-2009813_2009-06-18T07:00; IMR-2009813_2009-06-18T10:46; IMR-2009813_2009-06-18T15:15; IMR-2009813_2009-06-18T15:52; IMR-2009813_2009-06-19T00:23; IMR-2009813_2009-06-19T01:32; IMR-2009813_2009-06-19T04:02; IMR-2009813_2009-06-19T06:26; IMR-2009813_2009-06-19T09:04; IMR Coral survey off Northern Norway; Latitude of event; Legibility; Length; LL1-1/73017; LL1-2/73018; LL1-3/73021; LL1-4/73022; LL2-1/73019; LL2-2/73020; LLDEZS; Longitude of event; Long Line; Demersal; hook=EZ(11/0); bait=Squid; Mass; Method comment; NL1-1/73007; NL1-2/73008; NL1-3/73015; NL1-4/73016; NL2-1/73003; NL2-2/73004; NL2-3/73011; NL2-4/73012; Otolith analysis; Sample ID; Sex; Species; Species code; Stage; Taxonomic serial number (TSN); Øyfisk
    Type: Dataset
    Format: text/tab-separated-values, 10135 data points
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  • 12
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    (Table 1) Age, fork length, and tissue d15N and element concentration of arctic char (Salvelinus alpinus) from Lake Hazen (2009)
    PANGAEA
    In:  Supplement to: Gantner, Nikolaus; Power, Michael; Babaluk, John A; Reist, James D; Köck, Günther; Lockhart, Lyle W; Solomon, Keith R; Muir, Derek C G (2009): Temporal trends of mercury, cesium, potassium, selenium, and thallium in Arctic char (Salvelinus alpinus) from Lake Hazen, Nunavut, Canada: effects of trophic position, size, and age. Environmental Toxicology and Chemistry, 28(2), 254-263, https://doi.org/10.1897/08-054.1
    Details
    Publication Date: 2024-06-19
    Description: Arctic char (Salvelinus alpinus L.), the top predator in High Arctic lakes, often is used as a bioindicator of Hg contamination in Arctic aquatic ecosystems. The present study investigated effects of trophic position, size, and age of Arctic char in Lake Hazen, the largest lake in the Canadian High Arctic (81°50'N, 70°25'W), on Hg bioaccumulation. In addition, several essential (Se, K) and nonessential elements (Tl, Cs) in char muscle tissue were examined to compare their behavior to that of Hg. Trophic position of Arctic char was identified by stable isotope (d15N) signature. Temporal trends of Hg from seven sampling campaigns over a 16-year period (1990-2006) were investigated for the overall data and for one trophic class. Concentrations of Hg were not correlated with age but were positively related to fork length and trophic position. Large char with greater d15N signatures (〉12 per mil) had larger Hg concentrations (0.09-1.63 µg/g wet wt) than small char with smaller d15N signatures (〈12 per mil, 0.03-0.32 µg/g wet wt), indicating that Hg concentrations increased with trophic position. Nonessential Cs and Tl showed relationships to age, length, and trophic position similar to those of Hg, indicating their potential to bioaccumulate and biomagnify. Essential Se and K did not show these relationships. Concentrations of Hg were adjusted using d15N, leading to less within-year variability and a more consistent temporal trend. The d15N-adjusted trend showed no decline of Hg in Arctic char from Lake Hazen (1990-2006) in the overall data set and in the small morphotype. Trends for the same period before the adjustment were not significant for the overall data set, but a slight decrease was apparent in the small morphotype. The results confirm the need to consider trophic position and fish size when monitoring temporal trends of Hg, particularly for species with different morphotypes.
    Keywords: Atomic absorption spectrometry (AAS) of cold vapor; Biological sample; BIOS; Caesium; Continuous Flow Isotope Ratio Mass Spectrometry (CF/IRMS); DATE/TIME; Ellesmere Island, Canadian Arctic Archipelago; Inductively coupled plasma - mass spectrometry (ICP-MS); International Polar Year (2007-2008); IPY; Lake_Hazen; Mercury; Morphotype; Otolith analysis; Potassium; Salvelinus alpinus; Salvelinus alpinus, age; Salvelinus alpinus, fork length; Salvelinus alpinus, standard deviation; Salvelinus alpinus, δ15N, tissue; Selenium; Thallium
    Type: Dataset
    Format: text/tab-separated-values, 565 data points
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  • 13
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    Station list and links to master tracks in different resolutions of POLARSTERN cruise ANT-XXIX/8, Cape Town - Cape Town, 2013-11-09 - 2013-12-16 (2014)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-19
    Keywords: ANT-XXIX/8; Calculated; Course; CT; DATE/TIME; LATITUDE; LONGITUDE; Polarstern; PS81; PS81/8-track; Southern Ocean; Speed; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 10740 data points
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  • 14
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    Water column data recorded with Hydrosweep DS-3 during POLARSTERN cruise ANT-XXIX/8 (PS81) with links to ASD raw data files (2014)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-19
    Keywords: ANT-XXIX/8; AWI_Paleo; CT; DATE/TIME; DS3; File size; LATITUDE; LONGITUDE; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS81; PS81/8-track; Southern Ocean; Swath-mapping system Atlas Hydrosweep DS-3; Underway cruise track measurements; Uniform resource locator/link to raw data file
    Type: Dataset
    Format: text/tab-separated-values, 2262 data points
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  • 15
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    (Table 1) Age, fork length, tissue d15N and δ¹³C and mercury content of arctic char (Salvelinus alpinus) across the Canadian Arctic (2010)
    PANGAEA
    In:  Supplement to: Gantner, Nikolaus; Muir, Derek C G; Power, Michael; Iqaluk, Deborah; Reist, James D; Babaluk, John A; Meili, Markus; Borg, Hans; Hammar, Johan; Michaud, Wendy K; Dempson, Brian; Solomon, Keith R (2010): Mercury concentrations in landlocked Arctic char (Salvelinus alpinus) from the Canadian Arctic. Part II: influence of lake biotic and abiotic characteristics on geographic trends in 27 populations. Environmental Toxicology and Chemistry, 29(3), 633-643, https://doi.org/10.1002/etc.96
    Details
    Publication Date: 2024-06-19
    Description: Among-lake variation in mercury (Hg) concentrations in landlocked Arctic char was examined in 27 char populations from remote lakes across the Canadian Arctic. A total of 520 landlocked Arctic char were collected from 27 lakes, as well as sediments and surface water from a subset of lakes in 1999, 2002, and 2005 to 2007. Size, length, age, and trophic position (d15N) of individual char were determined and relationships with total Hg (THg) concentrations investigated, to identify a common covariate for adjustment using analysis of covariance (ANCOVA). A subset of 216 char from 24 populations was used for spatial comparison, after length-adjustment. The influence of trophic position and food web length and abiotic characteristics such as location, geomorphology, lake area, catchment area, catchment-to-lake area ratio of the lakes on adjusted THg concentrations in char muscle tissue were then evaluated. Arctic char from Amituk Lake (Cornwallis Island) had the highest Hg concentrations (1.31 µg/g wet wt), while Tessisoak Lake (Labrador, 0.07 µg/g wet wt) had the lowest. Concentrations of THg were positively correlated with size, d15N, and age, respectively, in 88,71, and 58% of 24 char populations. Length and d15N were correlated in 67% of 24 char populations. Food chain length did not explain the differences in length-adjusted THg concentrations in char. No relationships between adjusted THg concentrations in char and latitude or longitude were found, however, THg concentrations in char showed a positive correlation with catchment-to-lake area ratio. Furthermore, we conclude that inputs from the surrounding environment may influence THg concentrations, and will ultimately affect THg concentrations in char as a result of predicted climate-driven changes that may occur in Arctic lake watersheds.
    Keywords: Area/locality; Baffin Island; Biological sample; BIOS; Continuous Flow Isotope Ratio Mass Spectrometry (CF/IRMS); Cornwallis Island, Nunavut, Canada; Direct Mercury Analyser DMA (Milestone Instruments); EIs_lake_D; EIs_lake_F; EIs_lake_G; Ellesmere Island, Canadian Arctic Archipelago; Event label; International Polar Year (2007-2008); IPY; Kent Peninsula, Nunavut; Kent Peninsula, Nunavut, Canada; Labrador; Lake; Lake_12_Mile; Lake_9_Mile; Lake_Amituk; Lake_Aquiatusuk; Lake_Boomerang; Lake_Char; Lake_Coadys_Pond; Lake_Desert; Lake_Gavia_Faeces; Lake_Hazen; Lake_Herbert; Lake_Keyhole; Lake_Laflamme; Lake_Little_Nauyuk; Lake_Meretta; Lake_North; Lake_Notgordie; Lake_Pingualuk; Lake_Radar; Lake_Resolute; Lake_Small; Lake_Tasialuk; Lake_Teardrop; Lake_Tessisoak; Latitude of event; Longitude of event; Melville Island; Mercury; Mercury, standard deviation; Otolith analysis; Salvelinus alpinus; Salvelinus alpinus, age; Salvelinus alpinus, fork length; Salvelinus alpinus, mass; Salvelinus alpinus, standard deviation; Salvelinus alpinus, δ13C, tissue; Salvelinus alpinus, δ15N, tissue; Somerset Island; Time coverage; Ungava Peninsula, Nunavik; Victoria Island, North West Territories, Canada; Yukon, Alaska, U.S.A., North America
    Type: Dataset
    Format: text/tab-separated-values, 418 data points
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  • 16
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    Swath sonar bathymetry during POLARSTERN cruise ANT-XXIX/8 (PS81) with links to multibeam raw data files (2014)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-19
    Keywords: ANT-XXIX/8; AWI_GeoPhy; CT; DATE/TIME; Date/time end; DS3; LATITUDE; Latitude 2; LONGITUDE; Longitude 2; Marine Geophysics @ AWI; Polarstern; PS81; PS81/8-track; Southern Ocean; Swath-mapping system Atlas Hydrosweep DS-3; Underway cruise track measurements; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 140 data points
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  • 17
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    Swath sonar bathymetry during POLARSTERN cruise PS85 (ARK-XXVIII/2) with links to multibeam raw data files (2016)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-19
    Keywords: ARK-XXVIII/2; AWI_GeoPhy; CT; DATE/TIME; DS3; LATITUDE; LONGITUDE; Marine Geophysics @ AWI; Polarstern; PS85; PS85-track; Swath-mapping system Atlas Hydrosweep DS-3; Underway cruise track measurements; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 67 data points
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  • 18
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    Swath sonar bathymetry during POLARSTERN cruise PS96 (ANT-XXXI/2 FROSN) with links to multibeam raw data files (2016)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-19
    Keywords: ANT-XXXI/2 FROSN; AWI_GeoPhy; CT; DATE/TIME; DS3; LATITUDE; LONGITUDE; Marine Geophysics @ AWI; Polarstern; PS96; PS96-track; Swath-mapping system Atlas Hydrosweep DS-3; Underway cruise track measurements; Uniform resource locator/link to file; Uniform resource locator/link to raw data file
    Type: Dataset
    Format: text/tab-separated-values, 177 data points
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  • 19
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    Swath sonar bathymetry during POLARSTERN cruise PS104 (ANT-XXXII/3) with links to multibeam raw data files (2017)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-19
    Keywords: ANT-XXXII/3; AWI_GeoPhy; DATE/TIME; DS3; LATITUDE; LONGITUDE; Marine Geophysics @ AWI; Polarstern; PS104; PS104_0_Underway-6; Swath-mapping system Atlas Hydrosweep DS-3; Uniform resource locator/link to file; Uniform resource locator/link to raw data file
    Type: Dataset
    Format: text/tab-separated-values, 95 data points
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  • 20
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    Physical oceanography from lander deployment DOS-1 during SONNE cruise SO239 (2018)
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Details
    Publication Date: 2024-06-19
    Description: Deep-Sea Observation System (DOS) lander from GEOMAR was deployed in the German Prospective Area for a duration about one week (2015-03-19 to 2015-03-25). This dataset contains CTD data from Seabird 16plus.
    Keywords: B_LANDER; Bottom lander; C2; CTD, SEA-BIRD SBE 16; DATE/TIME; Density, sigma-theta (0); DEPTH, water; DOS1; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; Julian day; North Pacific Ocean; Pressure, water; SO239; SO239_37-1; SO239_5-1; Sonne_2; Temperature, water; Temperature, water, potential
    Type: Dataset
    Format: text/tab-separated-values, 15095 data points
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  • 21
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    Physical oceanography from lander deployment DOS-2 during SONNE cruise SO239 (2018)
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Details
    Publication Date: 2024-06-19
    Description: Deep-Sea Observation System (DOS) lander from GEOMAR was deployed in the German Prospective Area for a duration about 3 months (2015-03-26 to 2015-06-03). This dataset contains CTD data from Seabird 16plus.
    Keywords: B_LANDER; Bottom lander; CTD, SEA-BIRD SBE 16; DATE/TIME; Density, mass density; DEPTH, water; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; Julian day; North Pacific Ocean; Pressure, water; SO239; SO239_44-1; Sonne_2; Temperature, water; Temperature, water, potential
    Type: Dataset
    Format: text/tab-separated-values, 52395 data points
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  • 22
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    ADCP data from lander deployment Bobo-1 during SONNE cruise SO239 in the German PA1 area (2018)
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Details
    Publication Date: 2024-06-19
    Description: BoBo lander from NIOZ (Bottom Boundary) was deployed in the German Prospective Area for a duration about 3 months (2015-03-19 to 2015-06-03). This dataset contains raw and processed data from 300kHz upward looking ADCP and 1200kHz downward looking ADCP.
    Keywords: Acoustic Doppler Current Profiling (ADCP); BOBO; Bottom Boundary Lander; File content; File format; File name; File size; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; North Pacific Ocean; SO239; SO239_4-1; Sonne_2; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 23
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    ADCP data from lander deployment DOS-1 during SONNE cruise SO239 in the German PA1 area (2018)
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Details
    Publication Date: 2024-06-19
    Description: Deep-Sea Observation System (DOS) lander from GEOMAR was deployed in the German Prospective Area for a duration about one week (2015-03-19 to 2015-03-25). This dataset contains raw and processed data from 300kHz upward looking ADCP.
    Keywords: Acoustic Doppler Current Profiling (ADCP); B_LANDER; Bottom lander; C2; DOS1; File content; File format; File name; File size; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; North Pacific Ocean; SO239; SO239_37-1; SO239_5-1; Sonne_2; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 24
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    Continuous measurements in soil and air at the permafrost long-term observatory at the Bayelva station near Ny-Ålesund (2018 et seq) (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Understanding permafrost processes and changes requires long-term observational datasets of ground and climate variables. Despite the fact that the Arctic climate changes more rapidly than the rest of the globe, observational data density in the region is low and most time series are short. Long term observations are available from the Bayelva Site at Ny-Ålesund, Svalbard, where meteorology, energy balance components and subsurface observations have been made since 1998 and are still continued today. The climate observations include snow depth, snow dielectric number, snow temperature, liquid precipitation, air temperature, relative humidity, wind speed and direction, and radiation fluxes. The below-ground observations cover active layer and permafrost temperature, soil volumetric water content and soil bulk electrical conductivity. Since the data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and atmosphere, such as snow depth and soil moisture content, they are suitable for use in integrating, calibrating and testing permafrost as a component in Earth System Models. The resulting quality-controlled dataset is unique in the Arctic and serves as a baseline for future studies.
    Keywords: active layer; air temperature; Arctic; AWI_Perma; Bayelva; Bayelva_Station; dielectricity; dielectric number; Electrical conductivity; Monitoring station; MONS; Ny-Ålesund, Spitsbergen; Permafrost; Permafrost Research; precipitation; radiation; relative humidity; relative permittivity; snow depth; snow height; Soil; Soil Moisture; soil temperature; Svalbard; Temperature; water content; wind direction; wind speed
    Type: Dataset
    Format: application/zip, 12 datasets
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  • 25
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    Physical oceanography from lander deployment BoBo1 during SONNE cruise SO242/1 (2018)
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Details
    Publication Date: 2024-06-19
    Keywords: BOBO; Bottom Boundary Lander; CTD, Sea-Bird, SBE 19plus; DATE/TIME; DEPTH, water; JPI-OCEANS; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; Pressure, water; Reference Area South; Salinity; SO242/1; SO242/1_11-1; SO242/1_11-1_BoBo1; Sonne_2; Temperature, water; Turbidity (Formazin Turbidity Unit)
    Type: Dataset
    Format: text/tab-separated-values, 8440 data points
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  • 26
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    Physical oceanography from lander deployment BoBo2 during SONNE cruise SO242/1 (2018)
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Details
    Publication Date: 2024-06-19
    Keywords: BOBO; Bottom Boundary Lander; CTD, Sea-Bird, SBE 19plus; DATE/TIME; DEA; DEPTH, water; DISCOL Experimental Area; JPI-OCEANS; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; Pressure, water; Salinity; SO242/1; SO242/1_57-1; SO242/1_57-1_BoBo2; Sonne_2; Temperature, water; Turbidity (Formazin Turbidity Unit)
    Type: Dataset
    Format: text/tab-separated-values, 13715 data points
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  • 27
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    ADCP data from lander deployment DOS-2 during SONNE cruise SO239 in the German PA1 area (2018)
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Details
    Publication Date: 2024-06-19
    Description: Deep-Sea Observation System (DOS) lander from GEOMAR was deployed in the German Prospective Area for a duration about 3 months (2015-03-26 to 2015-06-03). This dataset contains raw and processed data from 300kHz upward looking ADCP.
    Keywords: Acoustic Doppler Current Profiling (ADCP); B_LANDER; Bottom lander; File content; File format; File name; File size; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; North Pacific Ocean; SO239; SO239_44-1; Sonne_2; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 28
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    Physical oceanography from lander deployment BoBo3 during SONNE cruise SO242/1 (2018)
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Details
    Publication Date: 2024-06-19
    Keywords: BOBO; Bottom Boundary Lander; CTD, Sea-Bird, SBE 19plus; DATE/TIME; Density, sigma-theta (0); DEPTH, water; JPI-OCEANS; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; Pressure, water; Reference Area South; Salinity; SO242/1; SO242/1_97-1; SO242/1_97-1_BoBo3; Sonne_2; Temperature, water; Turbidity (Formazin Turbidity Unit)
    Type: Dataset
    Format: text/tab-separated-values, 72000 data points
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  • 29
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    Physical oceanography from lander deployment DOS1 during SONNE cruise SO242/1 (2018)
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Details
    Publication Date: 2024-06-19
    Keywords: B_LANDER; Bottom lander; CTD, SEA-BIRD SBE 16; DATE/TIME; DEA; DEPTH, water; DISCOL Experimental Area; Fluorescence, chlorophyll; Fluorometer, WET Labs ECO AFL/FL; JPI-OCEANS; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; Pressure, water; Salinity; SO242/1; SO242/1_36-1; SO242/1_36-1_DOS1; SO242/1_6-1; SO242/1_6-1_DOS1; Sonne_2; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 4008 data points
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  • 30
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    Physical oceanography from lander deployment DOS2 during SONNE cruise SO242/1 (2018)
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Details
    Publication Date: 2024-06-19
    Keywords: B_LANDER; Bottom lander; CTD, Sea-Bird; DATE/TIME; DEPTH, water; Fluorescence, chlorophyll; JPI-OCEANS; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; Method comment; Pressure, water; Reference Area South; Salinity; SO242/1; SO242/1_42-1; SO242/1_42-1_DOS2; Sonne_2; Temperature, water; Turbidity (Formazin Turbidity Unit)
    Type: Dataset
    Format: text/tab-separated-values, 23942 data points
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  • 31
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    Physical oceanography from lander deployment DOS3 during SONNE cruise SO242/1 (2018)
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Details
    Publication Date: 2024-06-19
    Keywords: B_LANDER; Bottom lander; CTD, Sea-Bird, SBE 19plus; DATE/TIME; DEA; DEPTH, water; DISCOL Experimental Area; JPI-OCEANS; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; Pressure, water; Salinity; SO242/1; SO242/1_72-1; SO242/1_72-1_DOS3; Sonne_2; Temperature, water; Turbidity (Formazin Turbidity Unit)
    Type: Dataset
    Format: text/tab-separated-values, 33395 data points
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  • 32
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    ADCP data from lander deployment BoBo1 during SONNE cruise SO242/1 nearby the DISCOL area (2018)
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Details
    Publication Date: 2024-06-19
    Description: BoBo lander from NIOZ (Bottom Boundary) was deployed in the undisturbed area three miles south of the DISCOL Experimental Area (DEA) for a duration of 5 days (2015-07-30 to 2015-08-05). This dataset contains raw and processed data from 300kHz upward looking ADCP and 1200kHz downward looking ADCP.
    Keywords: Acoustic Doppler Current Profiling (ADCP); BOBO; Bottom Boundary Lander; File content; File format; File name; File size; JPI-OCEANS; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; Reference Area South; SO242/1; SO242/1_11-1; SO242/1_11-1_BoBo1; Sonne_2; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 33
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    ADCP data from lander deployment BoBo2 during SONNE cruise SO242/1 in the DISCOL area (2018)
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Details
    Publication Date: 2024-06-19
    Description: BoBo lander from NIOZ (Bottom Boundary) was deployed in the disturbed area near the centre of the DISCOL Experimental Area (DEA) for a duration of 10 days (2015-08-06 to 2015-08-16). This dataset contains raw and processed data from 300kHz upward looking ADCP and 1200kHz downward looking ADCP.
    Keywords: Acoustic Doppler Current Profiling (ADCP); BOBO; Bottom Boundary Lander; DEA; DISCOL Experimental Area; File content; File format; File name; File size; JPI-OCEANS; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; SO242/1; SO242/1_57-1; SO242/1_57-1_BoBo2; Sonne_2; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 34
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    Macrofauna from box corer samples during SONNE cruise SO239 (2018)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Keywords: BC; BC1; BC16; BC19; BC2; BC20; BC21; BC22; BC23; BC24; BC25; BC26; BC28; BC29; BC3; BC30; BC31; BC33; BC34; BC35; BC4; BC5; BC6; BC7; BC8; BC9; Box corer; Class; Date/Time of event; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Elevation of event; Event label; Family; Genus; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; Latitude of event; Layer description; Longitude of event; North Pacific Ocean; Number; Optional event label; Order; Phylum; SO239; SO239_105-1; SO239_106-1; SO239_107-1; SO239_119-1; SO239_12-1; SO239_127-1; SO239_128-1; SO239_137-1; SO239_138-1; SO239_15-1; SO239_159-1; SO239_16-1; SO239_162-1; SO239_169-1; SO239_180-1; SO239_181-1; SO239_182-1; SO239_195-1; SO239_196-1; SO239_203-1; SO239_204-1; SO239_209-1; SO239_21-1; SO239_23-1; SO239_51-1; SO239_57-1; SO239_58-1; SO239_60-1; SO239_88-1; SO239_89-1; SO239_90-1; SO239_94-1; SO239_95-1; SO239_97-1; Sonne_2; Species
    Type: Dataset
    Format: text/tab-separated-values, 16810 data points
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  • 35
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    ADCP data from lander deployment BoBo3 during SONNE cruise SO242/1 nearby the DISCOL area (2018)
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Details
    Publication Date: 2024-06-19
    Description: BoBo lander from NIOZ (Bottom Boundary) was deployed in the undisturbed area south of the DISCOL Experimental Area (DEA) for a duration of several weeks (2015-08-16 to 2015-09-26). This dataset contains raw and processed data from 300kHz upward looking ADCP and 1200kHz downward looking ADCP.
    Keywords: Acoustic Doppler Current Profiling (ADCP); BOBO; Bottom Boundary Lander; File content; File format; File name; File size; JPI-OCEANS; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; Reference Area South; SO242/1; SO242/1_97-1; SO242/1_97-1_BoBo3; Sonne_2; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 36
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    ADCP data from lander deployment DOS1 during SONNE cruise SO242/1 in the DISCOL area (2018)
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Details
    Publication Date: 2024-06-19
    Description: Deep-Sea Observation System (DOS) lander from GEOMAR was deployed in the DISCOL Experimental Area (DEA) for a short duration of 4 days (2015-07-30 to 2015-08-03). This dataset contains raw and processed data from 300kHz upward looking ADCP.
    Keywords: Acoustic Doppler Current Profiling (ADCP); B_LANDER; Bottom lander; DEA; DISCOL Experimental Area; File content; File format; File name; File size; JPI-OCEANS; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; SO242/1; SO242/1_36-1; SO242/1_36-1_DOS1; SO242/1_6-1; SO242/1_6-1_DOS1; Sonne_2; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 37
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    ADCP data from lander deployment DOS2 during SONNE cruise SO242/1 in the DISCOL area (2018)
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Details
    Publication Date: 2024-06-19
    Description: Deep-Sea Observation System (DOS) lander from GEOMAR was deployed in the DISCOL Experimental Area (DEA) for a short duration of 7 days (2015-08-04 to 2015-08-11). This dataset contains raw and processed data from 300kHz upward looking ADCP.
    Keywords: Acoustic Doppler Current Profiling (ADCP); B_LANDER; Bottom lander; File content; File format; File name; File size; JPI-OCEANS; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; Reference Area South; SO242/1; SO242/1_42-1; SO242/1_42-1_DOS2; Sonne_2; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 38
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    ADCP data from lander deployment DOS3 during SONNE cruise SO242/1 in the DISCOL area (2018)
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Details
    Publication Date: 2024-06-19
    Description: Deep-Sea Observation System (DOS) lander from GEOMAR was deployed in the DISCOL Experimental Area (DEA) for a short duration of 5 days (2015-08-11 to 2015-08-16). This dataset contains raw and processed data from 300kHz upward looking ADCP.
    Keywords: Acoustic Doppler Current Profiling (ADCP); B_LANDER; Bottom lander; DEA; DISCOL Experimental Area; File content; File format; File name; File size; JPI-OCEANS; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; SO242/1; SO242/1_72-1; SO242/1_72-1_DOS3; Sonne_2; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 39
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    Unknown
    ADCP data from lander deployment DOS4 during SONNE cruise SO242/1 in the DISCOL area (2018)
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Details
    Publication Date: 2024-06-19
    Description: Deep-Sea Observation System (DOS) lander from GEOMAR was deployed in the DISCOL Experimental Area (DEA) for a duration of several weeks (2015-08-16 to 2015-09-21). This dataset contains raw and processed data from 300kHz upward looking ADCP.
    Keywords: Acoustic Doppler Current Profiling (ADCP); B_LANDER; Bottom lander; DEA; DISCOL Experimental Area; File content; File format; File name; File size; JPI-OCEANS; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; SO242/1; SO242/1_99-1; SO242/1_99-1_DOS4; Sonne_2; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 40
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    Physical oceanography during SONNE cruise SO239 (2018)
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Details
    Publication Date: 2024-06-19
    Keywords: Acceleration; APEI3; Area of Particular Environmental Interest 3; Conductivity; CTD, SEA-BIRD SBE 43; CTD, Sea-Bird SBE 911plus; CTD/Rosette; CTD3; CTD4; CTD5; CTD6; CTD7; CTD-RO; DATE/TIME; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; Fluorescence, chlorophyll; Fluorometer, WET Labs ECO AFL/FL; Height above sea floor/altitude; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; Julian day; LATITUDE; LONGITUDE; North Pacific Ocean; Oxygen; Oxygen saturation; Pressure, water; Radiation, photosynthetically active; Radiation, photosynthetically active, surface; Salinity; SO239; SO239_10-1; SO239_110-1; SO239_118-1; SO239_147-1; SO239_183-1; SO239_25-1; SO239_26-1; SO239_3-1; SO239_56-1; SO239_74-1; Sonne_2; Sound velocity in water; Status; Temperature, water; Temperature, water, potential; Turbidity (Nephelometric turbidity unit); Turbidity Meter, WET Labs ECO NTU
    Type: Dataset
    Format: text/tab-separated-values, 1779792 data points
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  • 41
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    Swath sonar bathymetry during POLARSTERN cruise PS111 with links to multibeam raw data files (2018)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-19
    Keywords: ANT-XXXIII/2; AWI_GeoPhy; CT; DATE/TIME; DS3; LATITUDE; LONGITUDE; Marine Geophysics @ AWI; Polarstern; PS111; PS111-track; Swath-mapping system Atlas Hydrosweep DS-3; Underway cruise track measurements; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 102 data points
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  • 42
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    Physical oceanography during SONNE cruise SO242/1 (2018)
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Details
    Publication Date: 2024-06-19
    Keywords: Acceleration; Conductivity; CTD, SEA-BIRD SBE 43; CTD, Sea-Bird SBE 911plus; CTD/Rosette; CTD-RO; DATE/TIME; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; Fluorescence, chlorophyll; Fluorometer, WET Labs ECO AFL/FL; Height above sea floor/altitude; JPI-OCEANS; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; Julian day; LATITUDE; LONGITUDE; Oxygen; Oxygen saturation; Pressure, water; Radiation, photosynthetically active; Radiation, photosynthetically active, surface; Salinity; SO242/1; SO242/1_1-1; SO242/1_1-1_CTD 1; SO242/1_16-1; SO242/1_16-1_CTD 2; SO242/1_58-1; SO242/1_58-1_CTD 4; SO242/1_82-1; SO242/1_82-1_CTD 5; Sonne_2; Sound velocity in water; Status; Temperature, water; Temperature, water, potential; Turbidity (Nephelometric turbidity unit); Turbidity Meter, WET Labs ECO NTU
    Type: Dataset
    Format: text/tab-separated-values, 426300 data points
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  • 43
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    (Table S2) Contribution of formulas and elemental ratios of solid phase extracted dissolved organic matter from porewater and overlying bottom water collected during Maria S. Merian cruise MSM29 and Polarstern cruise PS85 to the Fram Strait (2019)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-19
    Description: Contribution of different molecular categories, H/Cwa and O/Cwa elemental ratios, aromaticity index (Aimodwa) and double bond equivalents (DBEwa) and indices of degradation (Ideg) and lability (MLBwl; Ibioprod). The contribution of each molecular category is expressed as a percentage of the total formulas in each sample obtained after normalization. Molecular formulas were additionally associated with different molecular categories because less than 6% of the DOM has been identified on a molecular level. Molecular categories are defined as follow: 1) condensed aromatics, with an AImod ≥ 0.67 (Koch and Dittmar, 2006, doi:10.1002/rcm.2386) was separated in 3 different subgroups, either 〈15 (condensed aromatics 〈15C), or ≥15 (condensed aromatics ≥15C) C atoms both without heteroatoms, or containing heteroelements (condensed aromatics-CHOx); 2) polyphenols, with an AImod 〉0.5 but 〈0.67; 3) highly unsaturated formulas, with an AImod 〈0.5, H/C 〈1.5; 4) formulas of unsaturated aliphatics, with an 1.5〈 H/C 〈2, O/C 〈0.9, N = 0; 5) saturated fatty acids, with an H/C 〉2, O/C 〈0.9 and with either no heteroatoms (sat. fatty acids) or with heteroatoms (sat. fatty acids-CHOx); 6) formulas of sugars, with an O/C 〉0.9 and with either no (sugars) or with heteroatoms (sugars-CHOx) and 7)unsaturated with N (unsaturated-N) molecular formulas, with 1.5 〈 H/C 〈2, O/C 〈 0.9 and N 〉0. Additionally, polyphenols, highly unsaturated and unsaturated aliphatics were further separated in oxygen rich (-O-rich) and oxygen poor (-O-poor) if the element ratio O/C was 〉 0.5 or 〈 0.5 respectively.
    Keywords: ABYSS; Arctic Ocean; ARK-XXVIII/2; Aromaticity index; Assessment of bacterial life and matter cycling in deep-sea surface sediments; Biological production index; Carboxyl-rich alicyclic molecules; Date/Time of event; deep sea sediment; Degradation index; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dissolved Organic Matter; Double bond equivalent; EGI; Elevation of event; Event label; Fourier-transform ion cyclotron mass spectrometry; Fram Strait; HAUSGARTEN 2013; HG_I; HG_II; HGI; HGIV; HGIX; HGVI; KH; Latitude of event; Light frame on-sight keyspecies investigation; LOKI; Longitude of event; Maria S. Merian; Mass spectrometer Solarix FT-ICR; Molecular lability boundary; MSM29; MSM29_424-3; MSM29_425-3; MSM29_427-2; MSM29_432-2; MSM29_439-3; MSM29_443-2; MSM29_450-2; MUC; MultiCorer; Multicorer with television; N_4; North Greenland Sea; Percentage of total formulae; Polarstern; porewater; PS85; PS85/436-1; PS85/441-1; PS85/445-1; PS85/454-3; PS85/454-4; PS85/454-5; PS85/460-4; PS85/463-1; PS85/464-1; PS85/465-4; PS85/468-1; PS85/469-2; PS85/470-3; PS85/473-3; Ratio; S_1; S_2; S_3; Sample ID; Station label; TVMUC
    Type: Dataset
    Format: text/tab-separated-values, 1804 data points
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  • 44
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    A Global Atlas of Artificial Light At Night Under the Sea (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: An updated version of this dataset is available here: https://doi.pangaea.de/10.1594/PANGAEA.929749.
    Keywords: Binary Object; Binary Object (Character Set); Binary Object (Media Type)
    Type: Dataset
    Format: text/tab-separated-values, 132 data points
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  • 45
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    Meteoric 10Be, grain size, surface area data for Rio Bermejo suspended sediment depth profile samples (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: To test the potential of meteoric 10Be (10Bem) as a river sediment transit time proxy, we measured 10Bem concentrations in river suspended sediment of the Rio Bermejo (northern Argentina), which is a river with a ~1300 km lowland flowpath void of tributaries. We collected fluvial suspended sediment in vertical depth profiles at five sampling locations along the length of the Rio Bermejo (northern Argentina) during near-bankfull conditions, when discharge varied between 675 and 1080 m**3/s and banks were actively eroding. Additionally, we collected one depth profile from Rio San Francisco (RSF) and one from the Rio Bermejo 10 km upstream of the RSF confluence. Combining these profiles and weighting them by the relative proportions of their total sediment load input to the mainstem Bermejo serves as an integrated headwater depth profile. In the thalweg, we collected water and suspended sediment from a boat using a weighted 8-liter horizontal sampling bottle (Wildco Beta Plus bottle) with an attached pressure transducer to measure sampling depth. We separated sediment from the water using a custom-built 5-liter pressurized filtration unit with a 293 mm diameter, 0.2 µm polyethersulfone filter. In the laboratory, we rinsed sediment off the filters directly into an evaporating dish with ultrapure 18.2 MΩ water (pH~7; when needed, we added NH3 solution to the water to maintain pH~7). Samples were dried in an oven at 40ºC, and subsequently homogenized. Sediment particle size distributions were measured on ~10 mg aliquots using a laser diffraction particle size analyzer (Horiba LA-950). Specific surface area (SSA) of bulk sediment samples was measured on ~4 g aliquots using a Quantachrome NOVAtouch LX gas sorption analyzer and the Brunauer, Emmett, and Teller (BET) theory (Brunauer et al., 1938). The total reactive phase, including amorphous oxyhydroxides and crystalline oxide grain coatings, was extracted from the sediment samples using a procedure adapted from Wittmann et al. (2012, doi:10.1016/j.chemgeo.2012.04.031). 10Bem was purified from the extracted material, spiked with a 9Be carrier solution containing 150 µg of 9Be, and packed into targets for AMS measurement at the University of Cologne Centre for Accelerator Mass Spectrometry (Cologne, Germany). 10Be /9Be measurements were normalized to the KN01-6-2 and KN01-5-3 standards (Dewald et al., 2013, doi:10.1016/j.nimb.2012.04.030) that are consistent with a 10Be half-life of 1.36 ± 0.07 x10^6 yrˉ¹ (Nishiizumi et al., 2007, doi:10.1016/j.nimb.2007.01.297). [10Be]m was calculated from the normalized and blank-corrected 10Be/9Be ratios. The reported 1σ uncertainties include counting statistics and the uncertainties of both standard normalization and blank correction. Stable 9Be concentrations were measured on a separate aliquot of the sample solution using inductively coupled plasma optical emission spectroscopy (ICP-OES). Uncertainty of ICP-OES measurements was 5%.
    Keywords: Accelerator mass spectrometry (AMS); AR17DS-001; AR17MR-05; AR17MR-06; AR17MR-07; AR17MR-08; AR17MR-11; AR17MR-12; AR17MR-13; AR17MR-14; AR17MR-24; AR17MR-25; AR17MR-26; AR17MR-27; AR17MR-30; AR17MR-31; AR17MR-32; AR17MR-33; AR17MR-34; AR17MR-35; AR17MR-36; AR17MR-42; AR17MR-43; AR17MR-44; AR17MR-45; AR17MR-46; Beryllium-10; Beryllium-10, standard deviation; Beryllium-10/Beryllium-9; Beryllium-10/Beryllium-9, standard deviation; Beryllium-9; Beryllium-9, standard deviation; Calculated/normalized; CONFLUENCE; DEPTH, water; Distance; El Colgado; ELEVATION; Embarcacion; Event label; Gas sorption analyzer (Quantachrome NOVAtouch LX) and BET-method (Brunauer et al., 1938); General Mansilla; Grain Size; integrated; LATITUDE; LONGITUDE; Median, grain size; meteoric 10Be; OSL; pH; Puerto lavalle; Reserva Natural Formosa; Rio San Francisco; river sediment; Sample ID; Scattering Particle Size Distribution Analyzer LA-950 (Horiba); Size fraction 〈 0.063 mm, mud, silt+clay; Specific surface area; Suspended sediment concentration
    Type: Dataset
    Format: text/tab-separated-values, 401 data points
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  • 46
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    Bathymetry beneath ice shelves of western Dronning Maud Land, East Antarctica (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: The lack of consistent and reliable estimates of the bathymetry beneath the ice shelves of western Dronning Maud Land is addressed by inverting airborne gravity data to model the underlying bathymetry. The gravity inversion is supported by known depth reference points from seismic data, multibeam and ice thickness radar data across grounded ice sheets. The dataset comprises seabed and ice base depths of Ekström, Atka, Jelbart, Fimbul and Vigrid ice shelves relative to WGS84.
    Keywords: Bathymetry; BathymetryModel_wDronningMaudLand; Bed elevation; Coordinate, x, relative; Coordinate, y, relative; Dronning Maud Land; gravity inversion; Ice base elevation; LATITUDE; LONGITUDE; subglacial; western Dronning Maud Land
    Type: Dataset
    Format: text/tab-separated-values, 97909 data points
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  • 47
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    Meteoric 10Be concentrations and OSL depositional ages of Rio Bermejo floodplain sediment (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: To determine the depositional age and the long-term delivery of meteoric 10Be (10Bem) to the Rio Bermejo floodplain (northern Argentina), we collected floodplain sediment samples at four locations identified as point bars of abandoned Rio Bermejo channels. We used a stainless-steel hand auger to collect sediment down to a maximum depth of ~5 m, or until refusal. For 10Bem and 9Bereac analysis, we extracted samples that integrated material from 0-20 cm below the surface, 20-50 cm, and regularly spaced 40 cm intervals for lower depths. We homogenized the material prior to packing into clean plastic bags. Sediment particle size distributions were measured on ~10 mg aliquots using a laser diffraction particle size analyzer (Horiba LA-950). The total reactive phase, including amorphous oxyhydroxides and crystalline oxide grain coatings, was extracted from the sediment samples using a procedure adapted from Wittmann et al. (2012, doi:10.1016/j.chemgeo.2012.04.031). 10Be was purified from the extracted material, spiked with a 9Be carrier solution containing 150 µg of 9Be, and packed into targets for AMS measurement at the University of Cologne Centre for Accelerator Mass Spectrometry (Cologne, Germany). 10Be/9Be measurements were normalized to the KN01-6-2 and KN01-5-3 standards (Dewald et al., 2013, doi:10.1016/j.nimb.2012.04.030) that are consistent with a 10Be half-life of 1.36 ± 0.07 x10 yrˉ¹ (Nishiizumi et al., 2007, doi:10.1016/j.nimb.2007.01.297). 10Bem was calculated from the normalized and blank-corrected 10Be/9Be ratios. The reported 1σ uncertainties include counting statistics and the uncertainties of both standard normalization and blank correction. Stable 9Be concentrations were measured on a separate aliquot of the sample solution using inductively coupled plasma optical emission spectroscopy (ICP-OES). Uncertainty of ICP-OES measurements was 5%. We used coarse quartz grain OSL analysis to determine depositional ages for each floodplain core. For OSL analysis, we collected light-sealed samples by driving an opaque tube into our floodplain cores at two select depths in each core. OSL measurements were performed using a Risø DA 15 OSL/TL reader equipped with a 90Sr beta irradiator (4.9 Gy/min). OSL signals were stimulated with blue LEDs (470 nm, 50 s, 125 ºC) and detected through an optical filter (U 340 Hoya). For each sample, 40 aliquots were measured using the single-aliquot regenerative dose (SAR) protocol (Murray and Wintle, 2000, doi:10.1016/S1350-4487(03)00053-2) for equivalent dose determination.
    Keywords: Accelerator mass spectrometry (AMS); Age, error; Age, maximum/old; Age, minimum/young; Age, optical stimulated luminescence (OSL); Age, soil; ALTITUDE; Beryllium-10; Beryllium-10, standard deviation; Beryllium-10/Beryllium-9; Beryllium-10/Beryllium-9, standard deviation; Beryllium-9; Beryllium-9, standard deviation; Clay minerals; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dose recovery test; Event label; Gas sorption analyzer (Quantachrome NOVAtouch LX) and BET-method (Brunauer et al., 1938); Grain Size; HADR; Hand auger (drill); LATITUDE; LONGITUDE; Mass; Median, grain size; meteoric 10Be; Number of subsamples; OSL; Paleodose; Paleodose, standard deviation; Profile ID; river sediment; Sample ID; Skewness; SP_1; SP_2; SP_3; SP_4; Specific surface area
    Type: Dataset
    Format: text/tab-separated-values, 482 data points
    Location Call Number Expected Availability
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  • 48
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    A Global Atlas of Artificial Light At Night Under the Sea (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Coastlines globally are increasingly being illuminated with Artificial Light At Night (ALAN) from various urban infrastructures such as houses, offices, piers, roads, ports and dockyards. Artificial sky glow can now be detected above 22% of the world's coasts nightly and will dramatically increase as coastal human populations more than double by the year 2060. One of the clearest demonstrations that we have entered another epoch, the urbanocene, is the prevalence of ALAN visible from space. Photobiological life history adaptations to the moon and sun are near ubiquitous in the surface ocean (0-200m), such that cycles and gradients of light intensity and spectra are major structuring factors in marine ecosystems. The potential for ALAN to reshape the ecology of coastal habitats by interfering with natural light cycles and the biological processes they inform is increasingly recognized and is an emergent focus for research. This dataset is derived from two primary satellite data sources: an artificial night sky brightness world atlas (Falchi et al., 2016) and an in-water Inherent Optical Property (Lee et al., 2002) dataset derived from ESA's Ocean Colour Climate Change Initiative (OC-CCI https://www.oceancolour.org/). These primary datasets are both used in conjunction with in-situ derived measurements and radiative transfer modelling in order to quantify the critical depth (Zc) to which biologically relevant ALAN penetrates throughout the global ocean's estuarine, coastal and near shore regions, in particular the area defined by an individual country's Exclusive Economic Zone. The critical depth is defined as the depth at which the modelled light level in the water column, illuminated by ALAN, drops below 0.102 µWm-2, the minimum irradiance of white light that elicits diel vertical migration in adult female Calanus copepods (Batnes et al., 2015). This is function of incident ALAN irradiance at the surface as well as the in-water transparency (governed by in-water optically active constituents). This dataset is an updated version of https://doi.pangaea.de/10.1594/PANGAEA.922885.
    Keywords: Artificial Light at Night; Binary Object; Binary Object (Character Set); Binary Object (Media Type); Bio-optics
    Type: Dataset
    Format: text/tab-separated-values, 144 data points
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  • 49
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    Particulate organic carbon composition, granulometric and geochemical data for suspended sediment from the Rio Bermejo (Argentina) collected in March 2017 (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: To study the transformation of organic carbon through long distance transport in rivers, we measured the composition of bulk organic carbon in river suspended sediment of the Rio Bermejo (northern Argentina). This river has a ~1300 km lowland flowpath with no significant tributaries. We collected fluvial suspended sediment in vertical depth profiles at five sampling locations along the length of the Rio Bermejo (northern Argentina) during near-bankfull conditions, when discharge varied between 675 and 1080 m3/s and banks were actively eroding. Additionally, we collected one depth profile from the Rio San Francisco (RSF) and one from the Rio Bermejo 10 km upstream of the RSF confluence. Combining these profiles and weighting them by the relative proportions of their total sediment load input to the mainstem Bermejo serves as a depth profile representing the headwaters. At each depth profile location, we collected water and suspended sediment from the channel thalweg by boat. We used a weighted 8-liter horizontal sampling bottle (Wildco Beta Plus bottle) with an attached pressure transducer to measure sampling depth. We separated sediment from the water using a custom-built 5-liter pressurized filtration unit with a 293 mm diameter, 0.2 µm polyethersulfone filter. In the laboratory, we rinsed sediment off the filters directly into an evaporating dish with ultrapure 18.2 MΩ water (pH~7). Samples were dried in an oven at 40ºC, and subsequently homogenized. Sediment particle size distributions were measured on ~10 mg aliquots using a laser diffraction particle size analyzer (Horiba LA-950). Specific surface area (SSA) of bulk sediment samples was measured on ~4 g aliquots using a Quantachrome NOVAtouch LX gas sorption analyzer and the Brunauer, Emmett, and Teller (BET) theory (Brunauer et al., 1938). Aliquots for organic carbon measurements were first treated with 4% HCl solution to remove inorganic carbon, following Galy et al. (2007, doi:10.1111/j.1751-908X.2007.00864.x). Total organic carbon (TOCPOC) and δ13C of POC was measured in duplicate at Durham University using a Costech elemental analyzer (EA) coupled to a CONFLO III and Thermo Scientific Delta V Advantage isotope ratio mass spectrometer (IRMS). Radiocarbon content was measured using an EA coupled to an accelerator mass spectrometer (EA-AMS) at ETH Zurich. We report 14C content as fraction modern (F14C), by normalizing measurements to 95% of the 1950 NBS Oxalic Acid II standard (δ13C = -17.8‰) and correcting for mass-dependent fractionation using a common δ13C value of -25‰. OC loading is the mass of organic carbon in a sample normalized by the sample's specific surface area (SSA). Reactive metals in the amorphous oxyhydroxide and crystalline oxide grain coatings, were extracted from the sediment samples using a procedure adapted from Wittmann et al. (2012, doi:10.1016/j.chemgeo.2012.04.031). The extracted oxyhydroxides and oxides were dried down and diluted in 3M HNO3. A 100 μl aliquot was taken for measurement of metal concentrations. Al, Fe, Mg, and Mn concentrations were measured using inductively coupled plasma optical emission spectroscopy (ICP-OES). Uncertainty of ICP-OES measurements was 〈5%. All depth-integrated values are calculated as a function of the suspended sediment concentration relative to the depth-averaged suspended sediment concentration.
    Keywords: Aluminium, reactive; AR17MR-05; AR17MR-06; AR17MR-07; AR17MR-08; AR17MR-11; AR17MR-12; AR17MR-13; AR17MR-14; AR17MR-24; AR17MR-25; AR17MR-26; AR17MR-27; AR17MR-30; AR17MR-31; AR17MR-32; AR17MR-33; AR17MR-34; AR17MR-35; AR17MR-36; AR17MR-42; AR17MR-43; AR17MR-44; AR17MR-45; AR17MR-46; Carbon, organic, loading; Carbon, organic, loading, standard error; Carbon, organic, total; Carbon, organic, total, standard error; CONFLUENCE; DATE/TIME; Depth, relative; Depth comment; Distance; El Colgado; Element analyser CHN (Costech) coupled to a CONFLO III and Thermo Scientific Delta V Advantage isotope ratio mass spectrometer (IRMS); Element analyzer coupled to an accelerator mass spectrometer (EA-AMS); ELEVATION; Embarcacion; Event label; Fraction modern carbon; Fraction modern carbon, standard error; Gas sorption analyzer (Quantachrome NOVAtouch LX) and BET-method (Brunauer et al., 1938); General Mansilla; Grain Size; ICP-OES, Inductively coupled plasma - optical emission spectrometry; Iron, reactive; LATITUDE; LONGITUDE; Magnesium, reactive; Manganese, reactive; Median, grain size; Normalized; oxyhydroxide; Particulate organic carbon; Puerto lavalle; radiocarbon; Reactive minerals, total; Reserva Natural Formosa; Rio San Francisco; river sediment; Sample ID; Scattering Particle Size Distribution Analyzer LA-950 (Horiba); Sediment transit time; Sediment transit time, uncertainty; Size fraction 〈 0.030 mm; Specific surface area; surface area; Suspended sediment concentration; TOC; Weighted average; δ13C; δ13C, standard error
    Type: Dataset
    Format: text/tab-separated-values, 528 data points
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  • 50
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    Amundsen Sea shelf, seismic reflection profile AWI-20170012 (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Seismic reflection data collected on the Amundsen Sea shelf during cruise PS104 with RV Polarstern in 2017. 2 GI-guns were used a seismic source, the data were recorded with a 600 m (active length) long streamer. The data are fully processed to time migration. No gain, filter or mute have been applied. The data are in SEGY format. See cruise report of PS104 or 20170012_segy_info.txt file for more information on acquisition and processing parameters.
    Keywords: Amundsen Sea; Amundsen Sea Embayment; ANT-XXXII/3; AWI_GeoPhy; AWI_Geophysics; cruise PS104; Marine Geophysics @ AWI; Polarstern; PS104; PS104_23-1; Seismic reflection data; Seismic reflection profile; SEISREFL
    Type: Dataset
    Format: application/octet-stream, 38.6 MBytes
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  • 51
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    High-Resolution profiles of stable water isotopes (d18O, dD) analyzed in 2019 and sampled along a snow trench (T15-1) in the 2014/15 field season at Kohnen Station, Dronning Maud Land, Antarctica (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Snow-cores KF13, KF14, KF15, KF16, KF17, KF18, and KF20 continuously analyzed by Continuous Flow Analysis between April and October 2019 at the Alfred-Wegener-Institut Helmholtz-Zentrum für Polar-und Meeresforschung, in Bremerhaven, Germany. All cores were sampled along the trench T15-1 in 2014/15, correspond to depths 240-340cm and are 5 meters spaced (relative distance to the starting coordinate). Isotopic measurements were realized by CRDS (Cavity-Ring-Down Spectroscopy, L-2140-i, Picarro Inc.).
    Keywords: Antarctica; ANT-Land_2014/15; AWI_Envi; CFA; CoFiAP; DEPTH, ice/snow; Distance, relative; Event label; High resolution record; Kohnen; Kohnen Station; Polar Terrestrial Environmental Systems @ AWI; SNOWC; Snow core; SNOWPACK; T15-1_KF13; T15-1_KF14; T15-1_KF15; T15-1_KF16; T15-1_KF17; T15-1_KF18; T15-1_KF20; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 34349 data points
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  • 52
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    Discrete profiles of stable water isotopes (d18O, dD) measured in 2019 and sampled along a snow trench (T15-1) in the 2014/15 field season at Kohnen Station, Dronning Maud Land, Antarctica (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Discrete samples at 22mm depth-resolution for snow-cores KF13, KF14, KF15, KF16, and 33mm depth-resolution for snow-core KF20, analyzed in 2019 at the Alfred-Wegener-Institut Helmholtz-Zentrum für Polar-und Meeresforschung, in Bremerhaven, Germany. All cores were sampled along the trench T15-1 in 2014/15, correspond to depths 240-340cm and are 5 meters spaced (relative distance to the starting coordinate). Isotopic measurements realized by CRDS (Cavity-Ring-Down Spectroscopy, L-2120-i and L-2140-i, Picarro Inc.).
    Keywords: Antarctica; ANT-Land_2014/15; AWI_Envi; Cavity ring-down spectroscopy; CoFiAP; CRDS; DEPTH, ice/snow; discrete samples; Distance, relative; Event label; Kohnen; Kohnen Station; ORDINAL NUMBER; Polar Terrestrial Environmental Systems @ AWI; SNOWC; Snow core; SNOWPACK; T15-1_KF13; T15-1_KF14; T15-1_KF15; T15-1_KF16; T15-1_KF20; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 630 data points
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  • 53
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    Seawater carbonate chemistry and growth response of calcifying marine epibionts (2021)
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    Details
    Publication Date: 2024-06-19
    Description: In coastal marine environments, physical and biological forces can cause dynamic pH fluctuations from microscale (diffusive boundary layer [DBL]) up to ecosystem‐scale (benthic boundary layer [BBL]). In the face of ocean acidification (OA), such natural pH variations may modulate an organism's response to OA by providing temporal refugia. We investigated the effect of pH fluctuations, generated by the brown alga Fucus serratus' biological activity, on the calcifying epibionts Balanus improvisus and Electra pilosa under OA. For this, both epibionts were grown on inactive and biologically active surfaces and exposed to (1) constant pH scenarios under ambient (pH 8.1) or OA conditions (pH 7.7), or (2) oscillating pH scenarios mimicking BBL conditions at ambient (pH 7.7–8.6) or OA scenarios (pH 7.4–8.2). Furthermore, all treatment combinations were tested at 10°C and 15°C. Against our expectations, OA treatments did not affect epibiont growth under constant or fluctuating (BBL) pH conditions, indicating rather high robustness against predicted OA scenarios. Furthermore, epibiont growth was hampered and not fostered on active surfaces (fluctuating DBL conditions), indicating that fluctuating pH conditions of the DBL with elevated daytime pH do not necessarily provide temporal refugia from OA. In contrast, results indicate that factors other than pH may play larger roles for epibiont growth on macrophytes (e.g., surface characteristics, macrophyte antifouling defense, or dynamics of oxygen and nutrient concentrations). Warming enhanced epibiont growth rates significantly, independently of OA, indicating no synergistic effects of pH treatments and temperature within their natural temperature range.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Arthropoda; Balanus improvisus; Baltic Sea; Benthic animals; Benthos; Bicarbonate ion; Bryozoa; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using seacarb; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Coast and continental shelf; Containers and aquaria (20-1000 L or 〈 1 m**2); Electra pilosa; Experiment duration; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth; Growth/Morphology; Growth efficency; Growth rate; Laboratory experiment; OA-ICC; Ocean Acidification International Coordination Centre; Other; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; Position; Registration number of species; Replicate; Replicates; Salinity; Salinity, standard deviation; Single species; Size; Species; Temperate; Temperature; Treatment; Treatment: pH; Treatment: temperature; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 86045 data points
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  • 54
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    SFB754 Downcore proxy records (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: One of the objectives of the SFB 754 was the reconstruction of the factors controlling the intensity and the spatial extent of the OMZ in the Eastern Tropical Pacific, specifically off Peru, since the Last Glacial Maximum (21000 years ago). For the purpose of these paleoceanographic studies, long gravity cores were recovered during four scientific expeditions (M77/1, M77/2, M92, and M135; see Figure 4). During the cruises M77/1 and M77/2 in 2008, 51 sediment cores were retrieved below and in the centre of the OMZ, from ~17° S to the equator (Pfannkuche et al., 2011; see Figure 4). Most of the records collected in the core of the OMZ (i.e. ~200 to ~500 m depth), from ~8 to 15° S, show sedimentary discontinuities during the Holocene (last 11700 years), which preclude high resolution paleoceanographic reconstructions in this area (Erdem et al., 2016; Salvatteci et al., 2014, 2016). Based on the information collected during M77/1 and M77/2 and also on the scientific literature, cruise M135 aimed specifically at finding the most complete Holocene sequence in the Eastern Tropical South Pacific. For this purpose, a detailed paleoceanographic survey took place at ~17° S, an area that is less affected by processes that can produce sediment discontinuities. Six sediment cores were retrieved, two of which contained the most complete sediment sequences for the last 10 000 years (Salvatteci et al., 2019).
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; SFB754
    Type: Dataset
    Format: 55 datasets
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  • 55
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    Mercury and explosive compound 4-aminodinitrotoluene (4-ADNT) in dab (Limanda limanda) caught at munition dumping site Kolberger Heide in the Kiel Bight, Baltic Sea (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Dumped munitions contain various harmful substances which can affect marine biota like fish. One of them is mercury (Hg), included in the common explosive primer. Another is 4-aminodinitrotoluene (4-ADNT), an explosive-metabolite. 251 individual dab (Limanda limanda L.) caught at the dump site Kolberger Heide a and nearby reference sites in 2017 and 2018 were analysed. The table contain individual data on Hg, 4-aminodinitrotoluene, age, length, weight, sex and condition factor.
    Keywords: Age; Atomic absorption spectrometry (AAS), Direct Mercury Analyzer (DMA-80); B01; Baltic Sea; Code; Condition factor; dab; Date/Time of event; Determined by visual inspection of otoliths; Event label; explosive; fisch; Fresh weight; Fulton's condition factor (K = 100 x somatic weight / length^3); KH_01; KH_02; KH_03; KH_04; KH_05; KH_06; KH_07; KH_08; KH_09; KH_10; KH_11; KH_12; KH_13; Latitude of event; Limanda limanda, bile, 4-amino-2,6-dinitrolouene; Limanda limanda, mercury in biomass, wet mass; Limanda limanda, total length; Limanda limanda, wet mass; Liquid Chromatography with tandem mass spectrometry (LC-MS/MS); Longitude of event; Measured; mercury; munitions; Net; NET; Sex; SG_01; SG_02; SG_03; SG_04; SG_05; SG_06; SG_07; SG_08; SG_09; SG_10; SG_11
    Type: Dataset
    Format: text/tab-separated-values, 1992 data points
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  • 56
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    Time series of transient snowline altitudes for High Mountain Asia, 1985–2021, derived from remote sensing data using Google Earth Engine (2023)
    PANGAEA
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    Publication Date: 2024-06-19
    Description: Here we present a dataset of Transient Snowline Altitude (TSLA) measurements for glaciers in High Mountain Asia (HMA) based on Landsat satellite imagery and digital elevation model data. The data were obtained using the MountAiN glacier Transient snowline Retrieval Algorithm (MANTRA), a Google Earth Engine tool to measure the average altitude of the snow-ice boundary. Each MANTRA result consists of reference data (e.g. Landsat scene, date, glacier ID), relevant topographic metrics (glacier area, minimum and maximum elevation of the glacier), results of the surface material classification (areas covered by ice, snow, debris and clouds), summary statistics of the TSLA measurement, and quality metrics (cloud cover close to snow-ice boundary, class coverage). For the dataset presented here, we applied MANTRA to all glaciers in HMA with an area larger than 0.5 km² (ca. 28,500 based on Randolph Glacier Inventory v6 glacier outlines). After filtering and postprocessing, the dataset comprises ca. 9.66 million TSLA measurements with an average of 341 ± 160 measurements per glacier, covering the time span 1985 to 2021.
    Keywords: Asia; Glaciology; Google Earth Engine; High_Mountain_Asia; High Mountain Asia; HMA; Satellite measurement Aqua/MODIS; Time series; Transient snowline altitude
    Type: Dataset
    Format: application/x-hdf, 3.3 GBytes
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  • 57
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    Multibeam bathymetry processed data (Atlas Hydrosweep DS 3 echo sounder entire dataset) of RV POLARSTERN during cruise PS104, Amundsen Sea, Southern Ocean (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Multibeam data were collected during RV Polarstern cruise PS104 (2017-02-05 to 2017-03-18). Multibeam sonar system was Atlas Hydrographic Hydrosweep DS 3 multibeam echo sounder. Data are processed with Caris HIPS, including sound velocity correction with SV data from SVPs and CTDs, tidal correction with TPXO9_atlas_v5 (https://www.tpxo.net/global/tpxo9-atlas), and manual cleaning. The soundings are combined in daily files, the format is XYZ ASCII (〈Lon〉 〈Lat〉 〈Depth in meters, positive up, relative to mean sea level〉). Additional blockmedian grids have been computed with depth dependent cell size to visualize the data. These grids are not meant for scientific analysis or navigation, but for overview purposes only.
    Keywords: Amundsen Sea; ANT-XXXII/3; Area; Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); DS3; Elevation, maximum; Elevation, minimum; File content; Horizontal datum; Horizontal datum, projection stored in file; Hydrosweep DS3; Latitude, northbound; Latitude, southbound; Longitude, eastbound; Longitude, westbound; Multibeam; Number of depth soundings; Polarstern; PS104; PS104_0_Underway-6; Raster cell size; Southern Ocean; Swath-mapping system Atlas Hydrosweep DS-3; Vertical datum
    Type: Dataset
    Format: text/tab-separated-values, 800 data points
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  • 58
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    Multibeam bathymetry processed data (Atlas Hydrosweep DS 3 echo sounder entire dataset) of RV POLARSTERN during cruise PS111, Weddell Sea, Southern Ocean (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Multibeam data were collected during RV Polarstern cruise PS111 (2018-01-19 to 2018-03-14). Multibeam sonar system was Atlas Hydrographic Hydrosweep DS 3 multibeam echo sounder. Data are processed with Caris HIPS, including sound velocity correction with SV data from CTDs, tidal correction with TPXO9_atlas_v5 (https://www.tpxo.net/global/tpxo9-atlas), and manual cleaning. The soundings are combined in daily files, the format is XYZ ASCII (〈Lon〉 〈Lat〉 〈Depth in meters, positive up, relative to mean sea level〉). Additional blockmedian grids have been computed with depth dependent cell size to visualize the data. These grids are not meant for scientific analysis or navigation, but for overview purposes only.
    Keywords: ANT-XXXIII/2; Area; Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); CT; Elevation, maximum; Elevation, minimum; File content; Horizontal datum; Horizontal datum, projection stored in file; Hydrosweep DS3; Latitude, northbound; Latitude, southbound; Longitude, eastbound; Longitude, westbound; Multibeam; Number of depth soundings; Polarstern; PS111; PS111-track; Raster cell size; Southern Ocean; Underway cruise track measurements; Vertical datum; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 1275 data points
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  • 59
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    Physical oceanography during Alkor cruise AL540 (2024)
    PANGAEA
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    Publication Date: 2024-06-19
    Description: This data set comprises raw CTD data collected during the RV ALKOR cruise AL540 conducted in July 2020 (July 21st to July 31st 2020) in the Western Baltic Sea by the University of Hamburg. The cruise was part of the 5-year MARSYS teaching cruise program of the University of Hamburg GFP20-1_047. The cruises are designed to train students in sampling methods targeting the different compartments of a marine ecosystem.
    Keywords: AL540; AL540_10-1; AL540_1-1; AL540_11-2; AL540_12-1; AL540_13-1; AL540_14-2; AL540_15-1; AL540_16-1; AL540_17-2; AL540_18-1; AL540_19-2; AL540_20-1; AL540_21-2; AL540_2-2; AL540_22-1; AL540_23-2; AL540_24-1; AL540_25-2; AL540_26-1; AL540_27-1; AL540_28-2; AL540_29-1; AL540_30-2; AL540_3-1; AL540_31-1; AL540_32-1; AL540_34-2; AL540_35-1; AL540_36-2; AL540_37-1; AL540_38-1; AL540_39-1; AL540_40-1; AL540_40-2; AL540_42-2; AL540_43-1; AL540_5-2; AL540_6-1; AL540_7-5; AL540_8-1; AL540_9-2; Alkor (1990); Baltic Sea; Chlorophyll a; Conductivity; Cruise/expedition; CTD/Rosette; CTD-RO; DATE/TIME; Density, sigma-theta (0); DEPTH, water; Event label; Field measurements; GPF 19-2_026; LATITUDE; LONGITUDE; MSN; Multiparameter probe (CTD), Sea & Sun Technology, CTD90M [Series II]; coupled with Fluorometer, Turner Designs, Cyclops-7 [for Chlorphyll a]; coupled with Oxygen sensor, AMT Analysenmesstechnik GmbH; Multiple opening/closing net; Oxygen, dissolved; Oxygen saturation; pH; Pressure, water; RV ALKOR; Salinity; Station label; summer; Teaching cruise; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 380523 data points
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  • 60
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    KOSMOS 2020 Peru mesocosm study on ecosystem responses to different light and upwelling intensities: fatty acids in fish larvae (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Fatty acids (FA) in fish larvae during the mesocosm experiment in the Peruvian upwelling system near Lima from February-April 2020. Light (ambient = high vs. reduced = low) was manipulated from the beginning (day 0) and upwelling (0 to 60% deep water addition) two weeks into the experiment (day 13). Larvae Peruvian anchovy (Engraulis ringens, 24 days-post-hatch) and chita (Anisotremus scapularis, 44 days-post-hatch) reared in the laboratory were introduced shortly after (day 19). All live fish were caught at the end of the experiment (day 36) by which time most had reached the late larval or early juvenile stage. Whole fish were freeze dried and their FA content and composition determined by gas chromatography. Stomachs had been removed prior to analysis to excluded prey FAs, while all other organs were included. Methodological details in Goldenberg et al. and Thielecke et al. (manuscripts in progress).
    Keywords: AQUACOSM; Calculated; chita; Coastal Upwelling System in a Changing Ocean; CUSCO; DATE/TIME; Day of experiment; Dry mass; Eastern Boundary Upwelling systems; essential fatty acids; Event label; Fatty acids; Fatty acids per individual; Fish, standard length; fish larvae; Humboldt Current System; KOSMOS; KOSMOS_2020; KOSMOS_2020_Laboratory-Baseline; KOSMOS_2020_Mesocosm-M1; KOSMOS_2020_Mesocosm-M2; KOSMOS_2020_Mesocosm-M3; KOSMOS_2020_Mesocosm-M4; KOSMOS_2020_Mesocosm-M5; KOSMOS_2020_Mesocosm-M6; KOSMOS_2020_Mesocosm-M7; KOSMOS_2020_Mesocosm-M8; KOSMOS_2020_Mesocosm-M9; KOSMOS Peru; Laboratory measurement; Long chain highly unsaturated fatty acids of total fatty acids; MESO; mesocosm experiment; Mesocosm experiment; Mesocosm label; Monounsaturated fatty acids of total fatty acids; Network of Leading European AQUAtic MesoCOSM Facilities Connecting Mountains to Oceans from the Arctic to the Mediterranean; Peruvian anchovy; plankton food web; Polyunsaturated fatty acids of total fatty acids; Ratio; Sample type; Saturated fatty acids of total fatty acids; Species, unique identification; Species, unique identification (URI); Taxa; Treatment; Treatment: light condition; Trophic marker; Type of study; Wet mass
    Type: Dataset
    Format: text/tab-separated-values, 8280 data points
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  • 61
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    2D multichannel seismic reflection processed data (GI Gun working area dataset) of RV POLARSTERN during cruise PS104, profile AWI-20170014 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Seismic reflection data collected on the Amundsen Sea shelf during cruise PS104 with RV Polarstern in 2017. 2 GI-guns were used a seismic source, the data were recorded with a 600 m (active length) long streamer. The data are fully processed to time migration. No gain, filter or mute have been applied. The data are in SEGY format. See cruise report of PS104 or 20170014_segy_info.txt file for more information on acquisition and processing parameters.
    Keywords: Amundsen Sea; Amundsen Sea Embayment; ANT-XXXII/3; AWI_GeoPhy; AWI_Geophysics; cruise PS104; Marine Geophysics @ AWI; Polarstern; profile AWI-20170014; PS104; PS104_23-1; Seismic reflection data; Seismic reflection profile; SEISREFL
    Type: Dataset
    Format: application/octet-stream, 19.1 MBytes
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  • 62
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    Nutrient and trace metal data distribution from water samples of HEINCKE cruise HE586 (2024)
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    Publication Date: 2024-06-19
    Description: The water samples were taken from Niskin bottles attached to a CTD in October 2021 on the cruise HE586 in the Skagerrak and the North Sea. The trace element samples were filtered in triplicates with DigiFILTERs (trademark) (0.45 microm, 50 mL, SCP Science, Canada) and measured by seaFAST-ICP-MS (seaFAST SP2, Elemental Scientific, USA; Agilent 8900, Agilent Technologies, Japan; Przibilla et al., 2023; https://doi.org/10.1002/wer.10922). The nutrient samples were filtered with 0.47microm cellulose acetate syringe filters (Minisart, Sartorius, Germany) and analyzed with standard colorimetric techniques (Hansen and Koroleff, 2007) on a continuous flow auto analyzer (AA3, SEAL Analytical, Germany).
    Keywords: AA3 Seal Analytical continuous segmented flow nutrient analyser; Ammonium; Ammonium, uncertainty; Cadmium; Cadmium, uncertainty; Cerium; Cerium, uncertainty; Cobalt; Cobalt, uncertainty; Copper; Copper, uncertainty; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Device type; Dysprosium; Dysprosium, uncertainty; Erbium; Erbium, uncertainty; Europium; Europium, uncertainty; Event label; Gadolinium; Gadolinium, uncertainty; HE586; HE586_10-1; HE586_12-1; HE586_13-1; HE586_14-1; HE586_1-5; HE586_18-1; HE586_2-2; HE586_24-1; HE586_25-1; HE586_26-1; HE586_28-2; HE586_3-1; HE586_4-1; HE586_5-1; HE586_7-1; HE586_8-2; HE586_9-1; Heincke; Holmium; Holmium, uncertainty; ICBM-HS-EMD-LER_22; ICP-MS, Elemental Scientific, seaFAST; Iron; Iron, uncertainty; Lanthanum; Lanthanum, uncertainty; LATITUDE; Lead; Lead, uncertainty; LONGITUDE; Lutetium; Lutetium, uncertainty; Manganese; Manganese, uncertainty; Molybdenum; Molybdenum, uncertainty; Neodymium; Neodymium, uncertainty; Nickel; Nickel, uncertainty; Nitrate; Nitrate, uncertainty; Nitrite; Nitrite, uncertainty; North Sea; Phosphate; Phosphate, uncertainty; Praseodymium; Praseodymium, uncertainty; Samarium; Samarium, uncertainty; Sample code/label; Sample elevation; Silicate; Silicate, dissolved, uncertainty; Skagerrak; Station label; Terbium; Terbium, uncertainty; Thulium; Thulium, uncertainty; Tungsten; Tungsten, uncertainty; Uranium; Uranium, uncertainty; Vanadium; Vanadium, uncertainty; Ytterbium; Ytterbium, uncertainty; Yttrium; Yttrium, uncertainty; Zinc; Zinc, uncertainty
    Type: Dataset
    Format: text/tab-separated-values, 4845 data points
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  • 63
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    2D multichannel seismic reflection processed data (GI Gun working area dataset) of RV POLARSTERN during cruise PS104, profile AWI-20170013 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Seismic reflection data collected on the Amundsen Sea shelf during cruise PS104 with RV Polarstern in 2017. 2 GI-guns were used a seismic source, the data were recorded with a 600 m (active length) long streamer. The data are fully processed to time migration. No gain, filter or mute have been applied. The data are in SEGY format. See cruise report of PS104 or 20170013_segy_info.txt file for more information on acquisition and processing parameters.
    Keywords: Amundsen Sea; Amundsen Sea Embayment; ANT-XXXII/3; AWI_GeoPhy; AWI Geophysics; cruise PS104; Marine Geophysics @ AWI; Polarstern; profile AWI-20170013; PS104; PS104_23-1; Seismic reflection data; Seismic reflection profile; SEISREFL
    Type: Dataset
    Format: application/octet-stream, 26.6 MBytes
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  • 64
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    Nutrient and trace metal data distribution from water samples of ALKOR cruise AL557 (2024)
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    Details
    Publication Date: 2024-06-19
    Description: The water samples were taken from Niskin bottles attached to a CTD in June 2021 on the cruise AL557 in the Skagerrak and the North Sea. The trace element samples were filtered in triplicates with DigiFILTERs (trademark) (0.45 microm, 50 mL, SCP Science, Canada) and measured by seaFAST-ICP-MS (seaFAST SP2, Elemental Scientific, USA; Agilent 8900, Agilent Technologies, Japan; Przibilla et al., 2023; https://doi.org/10.1002/wer.10922). The nutrient samples were filtered with 0.47microm cellulose acetate syringe filters (Minisart, Sartorius, Germany) and analyzed with standard colorimetric techniques (Hansen and Koroleff, 2007) on a continuous flow auto analyzer (AA3, SEAL Analytical, Germany).
    Keywords: AA3 Seal Analytical continuous segmented flow nutrient analyser; AL557; AL557_10-2; AL557_1-1; AL557_11-2; AL557_12-1; AL557_13-1; AL557_14-1; AL557_15-2; AL557_16-1; AL557_17-1; AL557_18-1; AL557_19-1; AL557_20-1; AL557_2-1; AL557_21-1; AL557_22-1; AL557_23-1; AL557_24-1; AL557_25-1; AL557_26-1; AL557_27-1; AL557_28-1; AL557_29-1; AL557_30-1; AL557_3-1; AL557_31-1; AL557_32-1; AL557_33-1; AL557_34-1; AL557_35-3; AL557_35-4; AL557_36-1; AL557_37-2; AL557_38-1; AL557_39-2; AL557_40-1; AL557_4-1; AL557_41-1; AL557_42-2; AL557_43-2; AL557_44-2; AL557_45-2; AL557_46-1; AL557_47-3; AL557_48-2; AL557_49-1; AL557_50-1; AL557_5-1; AL557_51-1; AL557_52-1; AL557_53-1; AL557_54-1; AL557_55-2; AL557_55-4; AL557_56-3; AL557_56-5; AL557_57-2; AL557_57-4; AL557_58-2; AL557_58-4; AL557_59-2; AL557_59-4; AL557_6-1; AL557_61-2; AL557_61-4; AL557_62-2; AL557_62-4; AL557_63-2; AL557_63-4; AL557_64-2; AL557_64-4; AL557_65-5; AL557_65-6; AL557_7-1; AL557_8-1; AL557_9-1; Alkor (1990); Ammonium; Ammonium, uncertainty; Cadmium; Cadmium, uncertainty; Cerium; Cerium, uncertainty; Cobalt; Cobalt, uncertainty; Copper; Copper, uncertainty; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Device type; Dysprosium; Dysprosium, uncertainty; Erbium; Erbium, uncertainty; Europium; Europium, uncertainty; Event label; Gadolinium; Gadolinium, uncertainty; Holmium; Holmium, uncertainty; ICP-MS, Elemental Scientific, seaFAST; Iron; Iron, uncertainty; Lanthanum; Lanthanum, uncertainty; LATITUDE; Lead; Lead, uncertainty; LONGITUDE; Lutetium; Lutetium, uncertainty; Manganese; Manganese, uncertainty; Molybdenum; Molybdenum, uncertainty; Neodymium; Neodymium, uncertainty; Nickel; Nickel, uncertainty; Nitrate; Nitrate, uncertainty; Nitrite; Nitrite, uncertainty; North Sea; Norwegian Sea; Phosphate; Phosphate, uncertainty; Praseodymium; Praseodymium, uncertainty; Samarium; Samarium, uncertainty; Sample code/label; Sample elevation; Silicate; Silicate, dissolved, uncertainty; Skagerrak; Station label; Terbium; Terbium, uncertainty; Thulium; Thulium, uncertainty; Tungsten; Tungsten, uncertainty; Uranium; Uranium, uncertainty; Vanadium; Vanadium, uncertainty; Ytterbium; Ytterbium, uncertainty; Yttrium; Yttrium, uncertainty; Zinc; Zinc, uncertainty
    Type: Dataset
    Format: text/tab-separated-values, 13961 data points
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  • 65
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    Geochemical data for SOB14-A-21, a Lena Delta 1st terrace exposure (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: The Holocene delta deposit (1st terrace) exposure SOB14-A-21 (72.53671°N, 127.98945°E) was sampled on 17 August 2014 North of Sobo-Sise Island in the Lena Delta during the framework of the joint Russian-German Expedition LENA 2014. The surface (top) of the exposure was characterized by mosses and sedges. The exposure itself was predominately sandy with few organic remnants. The top organic layer is thin (1.5 cm) and the active layer depth could not be determined exactly. However, the top 170 cm of the exposure were unfrozen although the thaw front might not only be from the top down but also horizontally due to the nature of the exposure. The exposure was first cleaned with a spade and then sampled with a knife and a hole saw from top to bottom. The entire exposure had a depth of 605 cm whereof the bottom 35 cm consisted of ice. Every 25 cm a sample was collected resulting in 22 samples (20 sediment samples and 2 ice samples). The samples were kept cool during the transport and later analyzed in the laboratory for bulk density, total organic carbon, and total nitrogen with a Vario EL III Elemental Analyzer. Prior to analysis, samples were freeze-dried, homogenized, and ground before measuring the samples with the elemental analyzer. The ice samples were not analyzed.
    Keywords: Arctic Delta; AWI_Perma; AWI Arctic Land Expedition; Carbon; Carbon, organic, total; Carbon/Nitrogen ratio; Carbon and nitrogen and sulfur (CNS) isotope element analyzer, Elementar, Vario EL III; DATE/TIME; Density, dry bulk; Density, wet bulk; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Description; EXPO; Exposure; Ice content, gravimetric; Ice content, volumetric; LATITUDE; Lena_Delta_Sobo-Byk_2014; Lena Delta; LONGITUDE; Nitrogen; Nitrogen, total; permafrost; Permafrost Research; PETA-CARB; PG-SOB14-A-21; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; RU-Land_2014_Lena_Sobo-Byk; Sample, dry mass; Sample, wet mass; Sample code/label; Sample comment; Sample thickness; Sample volume; Sampling; Site; Size fraction 〉 2 mm, gravel; Soil organic carbon storage; Soil total nitrogen storage; Type; Water loss per dry weight
    Type: Dataset
    Format: text/tab-separated-values, 480 data points
    Location Call Number Expected Availability
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  • 66
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    Health status of dab (Limanda limanda) exposed to dumped munition in German coastal waters (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Conventional munition dumped into the North Sea and the Baltic Sea close to the German coastline is corroding. A major concern is that biota, including fish, are negatively affected by toxic explosives leaking into marine environments. With the present study, we investigated fish living in close proximity to munition dumping sites for contamination and for signs of health impairments. The flat fish species common dab (Limanda limanda) was used as a model, since it lives in the vicinity of dumping sites and exhibits minor migratory activity. Various health indicators (body condition factors, externally visible fish diseases, parasites or liver anomalies) were investigated.
    Keywords: Baltic Sea; Borkum; Calculated; CLU355; CLU355_1; CLU355_2; CLU355_3; CLU355_4; CLU364; CLU364_1; CLU364_2; CLU364_3; CLU364_4; CLU367; CLU367_1; CLU367_2; CLU376; CLU376_1; CLU376_3; CLU376_4; CLU376_5; CLU376_6; Clupea; CONMAR; Cruise/expedition; DAM sustainMare - CONMAR: CONcepts for conventional MArine Munition Remediation in the German North and Baltic Sea; DATE/TIME; Demersal fish trawl; DEPTH, water; Determined by visual inspection of otoliths; diseases; Event label; fish health; Fish measuring board; FTRW-D; Gillnet; GN; Haffkrug North; Heligoland West-North-West; Kolberger Heide; Kolberger Heide East; Kolberger Heide West; Langeoog; LATITUDE; Limanda limanda, age; Limanda limanda, condition factor; Limanda limanda, dark melonoma, presence/absence; Limanda limanda, epidermal papilloma, presence/absence; Limanda limanda, fin rot, presence/absence; Limanda limanda, lipoma, presence/absence; Limanda limanda, liver anomalies, presence/absence; Limanda limanda, lymphocystis, presence/absence; Limanda limanda, mass; Limanda limanda, presence/absence of Acanthochondria cornuta; Limanda limanda, presence/absence of Cryptocotyle lingua; Limanda limanda, presence/absence of Lepeophtheirus pectoralis; Limanda limanda, presence/absence of Myxospora; Limanda limanda, presence/absence of Stephanostomum baccatum; Limanda limanda, sex; Limanda limanda, skeletal deformation, presence/absence; Limanda limanda, skin ulceration, presence/absence; Limanda limanda, total length; Limanda limanda, white hyperpigmentation, presence/absence; Limanda limanda, x-cell gill disease, presence/absence; Location; Location ID; LONGITUDE; Norderney North; North Sea; parasites; Pelzerhaken East; Research Mission of the German Marine Research Alliance (DAM): Protection and sustainable use of marine areas; Scale; Scharhörn reef; Schleimünde North-East; SOL816; SOL816_1; SOL816_2; SOL816_3; SOL816_4; SOL816_5; SOL816_6; SOL816_7; SOL816_8; SOL816_9; Solea (2004); Spiekeroog fairway North; Spiekeroog North; sustainMare; Visual observation; Wangerooge North; Wangerooge North, Minsener Oog; Weser mouth
    Type: Dataset
    Format: text/tab-separated-values, 9323 data points
    Location Call Number Expected Availability
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  • 67
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    Diversity and abundance of deep-pelagic fish on the Bay of Biscay slope (North-East Atlantic) from 56 trawls hauls between 2002 and 2019 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: The dataset represents the number, the total and the standardized biomass (catch per unit effort) of 94 deep-pelagic fish species collected by pelagic trawling in submarine canyons of the Bay of Biscay slope during the EVHOE scientific cruises on R/V Thalassa in autumn between 2002 and 2019 (https://doi.org/10.18142/8). Fifty-six trawls were conducted at night between 20 m and 2000 m depth. The trawl net was 192 m long with a headline of 76 m and a foot rope of 70 m. The average vertical mean mouth opening was about 24 m and the horizontal opening of about 58 m. The mesh size gradually decreases from very large 8 m meshes at the mouth to 20 mm meshes in the codend. To allow the capture of very small specimens, the trawl is also equipped with a 7.5 m long sock with a 12 mm mesh. The trawl had an average vertical mouth opening of 24 m and a horizontal opening of 58 m. The duration of the haul was 1 hour at 4 kn. The trawl did not have an opening-closing mechanism. Therefore, some individuals might have been caught during the descent and ascent of the gear, however a higher trawl speed on deployment and a low speed on retrieval were implemented to reduce bycatch at shallower depths than the target depth. The biomass per unit effort is standardized by the volume hauled and was calculated by multiplying the vertical and horizontal trawl opening and the distance trawled. Individuals were identified by expert ichthyologists to the species level whenever possible, otherwise they were identified to the genus or family level, especially when individuals were too small or damaged. Species or taxa were counted and most often weighed. When weighing was not possible, an estimate of the average weight of individuals over the whole time series was calculated and the total weight per species was estimated.
    Keywords: Anoplogaster cornuta; Anoplogaster cornuta, biomass, wet mass; Anoplogaster cornuta, mass; Arctozenus risso; Arctozenus risso, biomass, wet mass; Arctozenus risso, mass; Argyropelecus hemigymnus; Argyropelecus hemigymnus, biomass, wet mass; Argyropelecus hemigymnus, mass; Argyropelecus olfersii; Argyropelecus olfersii, biomass, wet mass; Argyropelecus olfersii, mass; Astronesthes niger; Astronesthes niger, biomass, wet mass; Astronesthes niger, mass; Avocettina infans; Avocettina infans, biomass, wet mass; Avocettina infans, mass; Barbantus curvifrons; Barbantus curvifrons, biomass, wet mass; Barbantus curvifrons, mass; Bathylagichthys greyae; Bathylagichthys greyae, biomass, wet mass; Bathylagichthys greyae, mass; Bathylagus euryops; Bathylagus euryops, biomass, wet mass; Bathylagus euryops, mass; Bathylagus spp.; Bathylagus spp., biomass, wet mass; Bathylagus spp., mass; Bay of Biscay; Benthosema glaciale; Benthosema glaciale, biomass, wet mass; Benthosema glaciale, mass; Beryx splendens; Beryx splendens, biomass, wet mass; Beryx splendens, mass; Bolinichthys indicus; Bolinichthys indicus, biomass, wet mass; Bolinichthys indicus, mass; Bolinichthys supralateralis; Bolinichthys supralateralis, biomass, wet mass; Bolinichthys supralateralis, mass; Borostomias antarcticus; Borostomias antarcticus, biomass, wet mass; Borostomias antarcticus, mass; Calculated; Ceratoscopelus maderensis; Ceratoscopelus maderensis, biomass, wet mass; Ceratoscopelus maderensis, mass; Chauliodus sloani; Chauliodus sloani, biomass, wet mass; Chauliodus sloani, mass; Counted; Cyclothone spp.; Cyclothone spp., biomass, wet mass; Cyclothone spp., mass; Date/Time of event; Date/Time of event 2; DEPTH, water; Derichthys serpentinus; Derichthys serpentinus, biomass, wet mass; Derichthys serpentinus, mass; Derichthys spp.; Derichthys spp., biomass, wet mass; Derichthys spp., mass; Diaphus dumerilii; Diaphus dumerilii, biomass, wet mass; Diaphus dumerilii, mass; Diaphus metopoclampus; Diaphus metopoclampus, biomass, wet mass; Diaphus metopoclampus, mass; Diaphus mollis; Diaphus mollis, biomass, wet mass; Diaphus mollis, mass; Diaphus spp.; Diaphus spp., biomass, wet mass; Diaphus spp., mass; Dolicholagus longirostris; Dolicholagus longirostris, biomass, wet mass; Dolicholagus longirostris, mass; Dolichopteryx longipes; Dolichopteryx longipes, biomass, wet mass; Dolichopteryx longipes, mass; Electrona risso; Electrona risso, biomass, wet mass; Electrona risso, mass; Entelurus aequoreus; Entelurus aequoreus, biomass, wet mass; Entelurus aequoreus, mass; Eurypharynx pelecanoides; Eurypharynx pelecanoides, biomass, wet mass; Eurypharynx pelecanoides, mass; Event label; Evermannella balbo; Evermannella balbo, biomass, wet mass; Evermannella balbo, mass; EVHOE-2002; EVHOE-2003; EVHOE-2007; EVHOE-2008; EVHOE-2010; EVHOE-2011; EVHOE-2016; EVHOE-2017; EVHOE-2018; EVHOE-2019; EVHOE-G0344; EVHOE-G0349; EVHOE-G0354; EVHOE-G0365; EVHOE-G0370; EVHOE-G0380; EVHOE-G0399; EVHOE-H0400; EVHOE-H0411; EVHOE-H0419; EVHOE-H0425; EVHOE-H0431; EVHOE-H0467; EVHOE-L0731; EVHOE-L0736; EVHOE-L0742; EVHOE-L0747; EVHOE-L0752; EVHOE-L0761; EVHOE-L0766; EVHOE-M0855; EVHOE-M0862; EVHOE-M0876; EVHOE-M0881; EVHOE-M0887; EVHOE-M0892; EVHOE-O0959; EVHOE-O0964; EVHOE-O0969; EVHOE-O0978; EVHOE-O0983; EVHOE-O0995; EVHOE-P1048; EVHOE-P1053; EVHOE-P1062; EVHOE-P1067; EVHOE-P1072; EVHOE-U0508; EVHOE-U0514; EVHOE-U0519; EVHOE-U0524; EVHOE-U0530; EVHOE-U0536; EVHOE-U0541; EVHOE-V0494; EVHOE-W0534; EVHOE-W0545; EVHOE-W0551; EVHOE-W0562; EVHOE-W0568; EVHOE-X0447; EVHOE-X0453; EVHOE-X0458; EVHOE-X0464; EVHOE-X0470; EVHOE-X0476; Gadiculus argenteus; Gadiculus argenteus, biomass, wet mass; Gadiculus argenteus, mass; Gonostoma elongatum; Gonostoma elongatum, biomass, wet mass; Gonostoma elongatum, mass; GOV36-47; Grande Ouverture Verticale 36/47; Holtbyrnia anomala; Holtbyrnia anomala, biomass, wet mass; Holtbyrnia anomala, mass; Holtbyrnia macrops; Holtbyrnia macrops, biomass, wet mass; Holtbyrnia macrops, mass; Howella atlantica; Howella atlantica, biomass, wet mass; Howella atlantica, mass; Lampadena atlantica; Lampadena atlantica, biomass, wet mass; Lampadena atlantica, mass; Lampadena speculigera; Lampadena speculigera, biomass, wet mass; Lampadena speculigera, mass; Lampadena urophaos; Lampadena urophaos, biomass, wet mass; Lampadena urophaos, mass; Lampanyctus crocodilus; Lampanyctus crocodilus, biomass, wet mass; Lampanyctus crocodilus, mass; Lampanyctus festivus; Lampanyctus festivus, biomass, wet mass; Lampanyctus festivus, mass; Lampanyctus macdonaldi; Lampanyctus macdonaldi, biomass, wet mass; Lampanyctus macdonaldi, mass; Lampanyctus spp.; Lampanyctus spp., biomass, wet mass; Lampanyctus spp., mass; Latitude of event; Latitude of event 2; Leptostomias gladiator; Leptostomias gladiator, biomass, wet mass; Leptostomias gladiator, mass; Lestidiops affinis; Lestidiops affinis, biomass, wet mass; Lestidiops affinis, mass; Lestidiops sphyrenoides; Lestidiops sphyrenoides, biomass, wet mass; Lestidiops sphyrenoides, mass; Lobianchia gemellarii; Lobianchia gemellarii, biomass, wet mass; Lobianchia gemellarii, mass; Longitude of event; Longitude of event 2; Lyconus brachycolus; Lyconus brachycolus, biomass, wet mass; Lyconus brachycolus, mass; Macroparalepis affinis; Macroparalepis affinis, biomass, wet mass; Macroparalepis affinis, mass; Magnisudis atlantica; Magnisudis atlantica, biomass, wet mass; Magnisudis atlantica, mass; Malacosteus niger; Malacosteus niger, biomass, wet mass; Malacosteus niger, mass; Maulisia argipalla; Maulisia argipalla, biomass, wet mass; Maulisia argipalla, mass; Maulisia mauli; Maulisia mauli, biomass, wet mass; Maulisia mauli, mass; Maulisia microlepis; Maulisia microlepis, biomass, wet mass; Maulisia microlepis, mass; Maurolicus muelleri; Maurolicus muelleri, biomass, wet mass; Maurolicus muelleri, mass; Melanolagus bericoides; Melanolagus bericoides, biomass, wet mass; Melanolagus bericoides, mass; Melanonus zugmayeri; Melanonus zugmayeri, biomass, wet mass; Melanonus zugmayeri, mass; Melanostigma atlanticum; Melanostigma atlanticum, biomass, wet mass; Melanostigma atlanticum, mass; Melanostomias bartonbeani; Melanostomias bartonbeani, biomass, wet mass; Melanostomias bartonbeani, mass; Mentodus rostratus; Mentodus rostratus, biomass, wet mass; Mentodus rostratus, mass; Myctophidae; Myctophidae, biomass, wet mass; Myctophidae, mass; Myctophum punctatum; Myctophum punctatum, biomass, wet mass; Myctophum punctatum, mass; Nannobrachium atrum; Nannobrachium atrum, biomass, wet mass; Nannobrachium atrum, mass; Nannobrachium spp.; Nannobrachium spp., biomass, wet mass; Nannobrachium spp., mass; Nansenia oblita; Nansenia oblita, biomass, wet mass; Nansenia oblita, mass; Nansenia spp.; Nansenia spp., biomass, wet mass; Nansenia spp., mass; Neonesthes capensis; Neonesthes capensis, biomass, wet mass; Neonesthes capensis, mass; Nessorhamphus ingolfianus; Nessorhamphus ingolfianus, biomass, wet mass; Nessorhamphus ingolfianus, mass; Normichthys operosus; Normichthys operosus, biomass, wet mass; Normichthys operosus, mass; Notoscopelus kroyeri; Notoscopelus kroyeri, biomass, wet mass; Notoscopelus kroyeri, mass; Oneirodes anisacanthus; Oneirodes anisacanthus, biomass, wet mass; Oneirodes anisacanthus, mass; Oneirodes carlsbergi; Oneirodes carlsbergi, biomass, wet mass; Oneirodes carlsbergi, mass; Parabrotulidae; Parabrotulidae, biomass, wet mass; Parabrotulidae, mass; Paralepis coregonoides; Paralepis coregonoides, biomass, wet mass; Paralepis coregonoides, mass; Photostomias guernei; Photostomias guernei, biomass, wet mass; Photostomias guernei, mass; Photostylus pycnopterus; Photostylus pycnopterus, biomass, wet mass; Photostylus pycnopterus, mass; Platytroctidae; Platytroctidae, biomass, wet mass; Platytroctidae, mass; Polymetme thaeocoryla; Polymetme thaeocoryla, biomass, wet mass; Polymetme thaeocoryla, mass; Poromitra megalops; Poromitra megalops, biomass, wet mass; Poromitra megalops, mass;
    Type: Dataset
    Format: text/tab-separated-values, 15822 data points
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  • 68
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    Meteorological synoptical observations from station Tamanrasset (2024-04) (2024)
    PANGAEA
    In:  National Meteorological Office of Algeria
    Details
    Publication Date: 2024-06-19
    Keywords: Algeria; Amount of cloud layer 1; Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cloud base height code, layer 1; Cloud layer 1; Code; DATE/TIME; Dew/frost point; High cloud; HYGRO; Hygrometer; Low/middle cloud amount; Low cloud; Middle cloud; Monitoring station; MONS; Past weather1; Past weather2; Present weather; Station pressure; TAM; Tamanrasset; Temperature, air; Thermometer; Total cloud amount; Visibility sensor; Visual observation; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 3813 data points
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  • 69
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    Unknown
    Ozone measurements from station Tamanrasset (2024-04) (2024)
    PANGAEA
    In:  National Meteorological Office of Algeria
    Details
    Publication Date: 2024-06-19
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; DATE/TIME; Monitoring station; MONS; Ozone total; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 88 data points
    Location Call Number Expected Availability
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  • 70
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    Unknown
    (Tables 1b, 2b, 3b) Mineralogy and isotope chemistry of potential source area samples (1997)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Keywords: Barcelona Coast; Chlorite; Comment; Cork Harbour; Danube Delta; Danube Delta Coast; Fairbanks; GISP; GISPRefSamp245-5; GISPRefSamp245-6; GISPRefSamp248-1; GISPRefSamp248-2; GISPRefSamp248-3; GISPRefSamp248-4; GISPRefSamp248-5; GISPRefSamp248-6; GISPRefSamp248-7; GISPRefSamp248-8; GISPRefSamp251-3; GISPRefSamp251-4; GISPRefSamp251-5; GISPRefSamp251-6; Gobi Desert; Greenland Ice Core Projects; GRIP/GISP/NGRIP; Gulf of Riga; HAND; Himmerfjarden; Illinois, United States of America; Illite; Izmit Bay; Kaolinite; Latitude of event; Lead-206/Lead-204 ratio; Lead-206/Lead-207 ratio; Lead-207/Lead-204 ratio; Lead-208/Lead-204 ratio; Lead-208/Lead-206 ratio; Limfjorden; Longitude of event; Neodymium-143/Neodymium-144 ratio; Oder Estuary; Pertuis Charentais; Sampling/drilling ice; Sampling by hand; Scheldt Delta Estuary; Shaanxi; Smectite; Strontium-87/Strontium-86 ratio; Taranto Mare Piccolo; Thau Lagoon; Thermaikos Gulf; Toronto; Ukraine; Washington, USA; X-ray diffraction TEXTUR, clay fraction
    Type: Dataset
    Format: text/tab-separated-values, 168 data points
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  • 71
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    Unknown
    Radiosonde measurements from station Tamanrasset (2024-04) (2024)
    PANGAEA
    In:  National Meteorological Office of Algeria
    Details
    Publication Date: 2024-06-19
    Keywords: Algeria; ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Vaisala, RS92; TAM; Tamanrasset; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 1785 data points
    Location Call Number Expected Availability
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  • 72
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    Unknown
    (Table 1) Age, fork length, tissue d15N and mercury content of arctic char (S. alpinus) and lake trout (S. namaycush) in Laflamme and Pingualuit lake (2012)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Keywords: Biological sample; BIOS; Continuous Flow Isotope Ratio Mass Spectrometry (CF/IRMS); Direct Mercury Analyser DMA (Milestone Instruments); Event label; Lake; Lake_Laflamme; Lake_Pingualuk; Mercury; Otolith analysis; Reference/source; Salvelinus alpinus, age; Salvelinus alpinus, fork length; Salvelinus alpinus, mass; Salvelinus alpinus, δ15N, tissue; Salvelinus namaycush, age; Salvelinus namaycush, fork length; Salvelinus namaycush, mass; Salvelinus namaycush, δ15N, tissue; Sample ID; Sex; Ungava Peninsula, Nunavik
    Type: Dataset
    Format: text/tab-separated-values, 346 data points
    Location Call Number Expected Availability
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  • 73
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    Unknown
    Tephra chemistry of the Rulo site (2016)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Keywords: Aluminium oxide; Aluminium oxide, standard deviation; Calcium oxide; Calcium oxide, standard deviation; Chlorine; Chlorine, standard deviation; DEPTH, sediment/rock; Iron oxide, Fe2O3; Iron oxide, Fe2O3, standard deviation; Lithologic unit/sequence; Magnesium oxide; Magnesium oxide, standard deviation; OUTCROP; Outcrop sample; Potassium oxide; Potassium oxide, standard deviation; Rulo_Site; Sample ID; Silicon dioxide; Silicon dioxide, standard deviation; Sodium oxide; Sodium oxide, standard deviation; Titanium dioxide; Titanium dioxide, standard deviation; Volcanic glass shards; Washington, USA
    Type: Dataset
    Format: text/tab-separated-values, 126 data points
    Location Call Number Expected Availability
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  • 74
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    Unknown
    (Table DR1) Carbonate geochemistry of carbonate sample SR4 (2016)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Keywords: Area/locality; Carbon, organic, total; Carbon, total; Fraction, non-carbonate; HAND; Sample code/label; Sample mass; Sampling by hand; SR4; Washington, USA; δ13C, carbonate; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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  • 75
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    (Table DR2) Trace and rare earth element contents of clear aragonite cement of carbonate sample SR4 (2016)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Keywords: Aluminium; Arsenic; Barium; Cerium; Dysprosium; Erbium; Europium; Gadolinium; HAND; Holmium; Iron; Lanthanum; Lutetium; Magnesium; Manganese; Molybdenum; Molybdenum/Uranium ratio; Neodymium; Nickel; Praseodymium; Rare-earth elements; Samarium; Sample code/label; Sample code/label 2; Sampling by hand; Silicon; SR4; Strontium; Terbium; Thulium; Uranium; Washington, USA; Ytterbium; Yttrium; Zinc
    Type: Dataset
    Format: text/tab-separated-values, 372 data points
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  • 76
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    XRF measurements on the Rulo site samples (2016)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Keywords: Aluminium oxide; Calcium oxide; DEPTH, sediment/rock; Identification; Iron oxide, FeO; Lithologic unit/sequence; Loss on ignition; Magnesium oxide; Manganese oxide; OUTCROP; Outcrop sample; Phosphorus pentoxide; Potassium oxide; Ratio; Rulo_Site; Sample ID; Silicon dioxide; Sodium oxide; Sum; Titanium/Aluminium ratio; Titanium dioxide; Washington, USA; X-ray fluorescence (XRF)
    Type: Dataset
    Format: text/tab-separated-values, 765 data points
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    DATA PANGAEA
  • 77
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    Unknown
    Sediment data from polygon core in the Siberian Arctic (2018)
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Details
    Publication Date: 2024-06-19
    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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  • 78
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    Laboratory experiment of cation exchange capacity (CEC) from rock and mineral standards (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Keywords: According to Henry (1997); cation exchange capacity; Cation exchange capacity; Center for Marine Environmental Sciences; cohesion; EXP; Experiment; fault; friction; Laboratory-experiments; MARUM; rate-and-state friction; Sample material; water-rock reactions
    Type: Dataset
    Format: text/tab-separated-values, 18 data points
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  • 79
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    Below-ground carbon stocks and soil properties in the central Lena River Delta, Kurungnakh and Samoylov Islands from 12 permafrost profiles sampled in 2018 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    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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  • 80
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    Porosity measurements of the cation exchange capacity (CEC) laboratory experiment (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Keywords: Caliper; cation exchange capacity; Center for Marine Environmental Sciences; cohesion; Diameter; Dry mass; EXP; Experiment; fault; friction; Height; Laboratory-experiments; MARUM; Porosity; rate-and-state friction; Sample mass; Sample material; Sample type; Scale; Type of study; Volume; water-rock reactions
    Type: Dataset
    Format: text/tab-separated-values, 250 data points
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  • 81
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    Unknown
    Friction measurements of the cation exchange capacity (CEC) laboratory experiment (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Keywords: cation exchange capacity; Center for Marine Environmental Sciences; Coefficient of peak friction; cohesion; EXP; Experiment; fault; friction; Laboratory-experiments; MARUM; rate-and-state friction; Residual friction coefficient; Sample material; Sample type; Single-direct shear apparatus; Type of study; water-rock reactions
    Type: Dataset
    Format: text/tab-separated-values, 150 data points
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  • 82
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    Unknown
    Cohesion measurements of the cation exchange capacity (CEC) laboratory experiment (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Keywords: cation exchange capacity; Center for Marine Environmental Sciences; cohesion; Cohesion; Cohesion coefficient; EXP; Experiment; fault; friction; Laboratory-experiments; MARUM; Proportion; rate-and-state friction; Sample material; Sample type; Single-direct shear apparatus; Type of study; water-rock reactions
    Type: Dataset
    Format: text/tab-separated-values, 140 data points
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  • 83
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    Sliding cohesion measurements of the cation exchange capacity (CEC) laboratory experiment (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Keywords: cation exchange capacity; Center for Marine Environmental Sciences; Coefficient of sliding cohesion; Coefficient of sliding cohesion, area corrected; cohesion; EXP; Experiment; fault; friction; Laboratory-experiments; MARUM; rate-and-state friction; Sample material; Sample type; Single-direct shear apparatus; Sliding cohesion; Sliding cohesion, area corrected; Type of study; water-rock reactions
    Type: Dataset
    Format: text/tab-separated-values, 200 data points
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  • 84
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    Velocity-dependent friction measurements, input parameters for forward modeling of the cation exchange capacity (CEC) laboratory experiment (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Keywords: cation exchange capacity; Center for Marine Environmental Sciences; cohesion; Comment; Critical slip distance dc1; Critical slip distance dc2; Displacement; EXP; Experiment; fault; friction; Friction direct effect; Friction evolution effect; Initial friction coefficient; Laboratory-experiments; MARUM; Matlab code RSFit3000, according to Skarbek and Savage (2019); Parameter; Potentiometric displacement sensor, Burster, 8712; rate-and-state friction; Sliding velocity, final; Sliding velocity, initial; Stiffness; Type of study; water-rock reactions
    Type: Dataset
    Format: text/tab-separated-values, 1683 data points
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  • 85
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    Velocity-dependent friction measurements, inverse modeling results (Slip Law) of the cation exchange capacity (CEC) laboratory experiment (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Keywords: cation exchange capacity; Center for Marine Environmental Sciences; Coefficient of determination; cohesion; Critical slip distance dc1; Critical slip distance dc1, standard deviation; Critical slip distance dc2; Critical slip distance dc2, standard deviation; Difference; EXP; Experiment; fault; friction; Friction direct effect; Friction direct effect, standard deviation; Friction evolutionary effect, b1; Friction evolutionary effect, b2; Friction evolutionary effect b1, standard deviation; Friction evolutionary effect b2, standard deviation; Initial friction coefficient; Initial friction coefficient, standard deviation; Laboratory-experiments; MARUM; Matlab code RSFit3000, according to Skarbek and Savage (2019); Potentiometric displacement sensor, Burster, 8712; rate-and-state friction; Sliding velocity, final; Sliding velocity, initial; Stiffness; Stiffness, standard deviation; Sum; Type of study; water-rock reactions
    Type: Dataset
    Format: text/tab-separated-values, 2219 data points
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  • 86
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    Velocity-dependent friction measurements, inverse modeling results (Aging Law) of the cation exchange capacity (CEC) laboratory experiment (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Keywords: cation exchange capacity; Center for Marine Environmental Sciences; Coefficient of determination; cohesion; Critical slip distance dc1; Critical slip distance dc1, standard deviation; Critical slip distance dc2; Critical slip distance dc2, standard deviation; Difference; EXP; Experiment; fault; friction; Friction direct effect; Friction direct effect, standard deviation; Friction evolutionary effect, b1; Friction evolutionary effect, b2; Friction evolutionary effect b1, standard deviation; Friction evolutionary effect b2, standard deviation; Initial friction coefficient; Initial friction coefficient, standard deviation; Laboratory-experiments; MARUM; Matlab code RSFit3000, according to Skarbek and Savage (2019); Potentiometric displacement sensor, Burster, 8712; rate-and-state friction; Sliding velocity, final; Sliding velocity, initial; Stiffness; Stiffness, standard deviation; Sum; Type of study; water-rock reactions
    Type: Dataset
    Format: text/tab-separated-values, 2219 data points
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  • 87
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    Continuous temperature observations at station BEFmate_I3low in 2021 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Data presented here were collected between January 2021 to September 2023 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Temperature in the sediment surface layer (in approximately 0.05m depth) was measured with DEFI-T miniature temperature recorders (JFE Advantech Co., Ltd., Tokyo; DEFI-T). The manufacturer pre-calibrated temperature recorders and were installed on the experimental islands and in salt-marsh enclosed plots at different elevation levels. Recorded data were internally logged until the readout with the DEFI Series software (V1.02). The position was derived from a portable DGPS-system. Date and Time is given in UTC. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
    Keywords: BEFmate; BEFmate_I3low; biodiversity - ecosystem functioning; DATE/TIME; DEPTH, sediment/rock; DynaCom; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; Metacommunity; Miniature temperature recorder, JFE Advantech, DEFI-T [SN: 095p005]; MULT; Multiple investigations; off Spiekeroog, German Bight, North Sea; salt marsh; SCO; Spiekeroog; Spiekeroog Coastal Observatory; Temperature; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 52499 data points
    Location Call Number Expected Availability
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  • 88
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    Unknown
    Continuous temperature observations at station BEFmate_I3pio in 2021 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Data presented here were collected between January 2021 to September 2023 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Temperature in the sediment surface layer (in approximately 0.05m depth) was measured with DEFI-T miniature temperature recorders (JFE Advantech Co., Ltd., Tokyo; DEFI-T). The manufacturer pre-calibrated temperature recorders and were installed on the experimental islands and in salt-marsh enclosed plots at different elevation levels. Recorded data were internally logged until the readout with the DEFI Series software (V1.02). The position was derived from a portable DGPS-system. Date and Time is given in UTC. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
    Keywords: BEFmate; BEFmate_I3pio; biodiversity - ecosystem functioning; DATE/TIME; DEPTH, sediment/rock; DynaCom; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; Metacommunity; Miniature temperature recorder, JFE Advantech, DEFI-T [SN: 095p023]; MULT; Multiple investigations; off Spiekeroog, German Bight, North Sea; salt marsh; SCO; Spiekeroog; Spiekeroog Coastal Observatory; Temperature; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 52501 data points
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  • 89
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    Continuous temperature observations at station BEFmate_I3upp in 2021 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Data presented here were collected between January 2021 to September 2023 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Temperature in the sediment surface layer (in approximately 0.05m depth) was measured with DEFI-T miniature temperature recorders (JFE Advantech Co., Ltd., Tokyo; DEFI-T). The manufacturer pre-calibrated temperature recorders and were installed on the experimental islands and in salt-marsh enclosed plots at different elevation levels. Recorded data were internally logged until the readout with the DEFI Series software (V1.02). The position was derived from a portable DGPS-system. Date and Time is given in UTC. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
    Keywords: BEFmate; BEFmate_I3upp; biodiversity - ecosystem functioning; DATE/TIME; DEPTH, sediment/rock; DynaCom; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; Metacommunity; Miniature temperature recorder, JFE Advantech, DEFI-T [SN: 095p019]; MULT; Multiple investigations; off Spiekeroog, German Bight, North Sea; salt marsh; SCO; Spiekeroog; Spiekeroog Coastal Observatory; Temperature; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 52481 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 90
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    Continuous temperature observations at station BEFmate_I7low in 2021 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Data presented here were collected between January 2021 to September 2023 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Temperature in the sediment surface layer (in approximately 0.05m depth) was measured with DEFI-T miniature temperature recorders (JFE Advantech Co., Ltd., Tokyo; DEFI-T). The manufacturer pre-calibrated temperature recorders and were installed on the experimental islands and in salt-marsh enclosed plots at different elevation levels. Recorded data were internally logged until the readout with the DEFI Series software (V1.02). The position was derived from a portable DGPS-system. Date and Time is given in UTC. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
    Keywords: BEFmate; BEFmate_I7low; biodiversity - ecosystem functioning; DATE/TIME; DEPTH, sediment/rock; DynaCom; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; Metacommunity; Miniature temperature recorder, JFE Advantech, DEFI-T [SN: 0A91015]; MULT; Multiple investigations; off Spiekeroog, German Bight, North Sea; salt marsh; SCO; Spiekeroog; Spiekeroog Coastal Observatory; Temperature; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 52488 data points
    Location Call Number Expected Availability
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  • 91
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    Continuous temperature observations at station BEFmate_S2low in 2021 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Data presented here were collected between January 2021 to September 2023 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Temperature in the sediment surface layer (in approximately 0.05m depth) was measured with DEFI-T miniature temperature recorders (JFE Advantech Co., Ltd., Tokyo; DEFI-T). The manufacturer pre-calibrated temperature recorders and were installed on the experimental islands and in salt-marsh enclosed plots at different elevation levels. Recorded data were internally logged until the readout with the DEFI Series software (V1.02). The position was derived from a portable DGPS-system. Date and Time is given in UTC. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
    Keywords: BEFmate; BEFmate_S2low; biodiversity - ecosystem functioning; DATE/TIME; DEPTH, sediment/rock; DynaCom; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; Metacommunity; Miniature temperature recorder, JFE Advantech, DEFI-T [SN: 0AN4056]; MULT; Multiple investigations; off Spiekeroog, German Bight, North Sea; salt marsh; SCO; Spiekeroog; Spiekeroog Coastal Observatory; Temperature; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 52496 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 92
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    Continuous temperature observations at station BEFmate_S2upp in 2021 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Data presented here were collected between January 2021 to September 2023 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Temperature in the sediment surface layer (in approximately 0.05m depth) was measured with DEFI-T miniature temperature recorders (JFE Advantech Co., Ltd., Tokyo; DEFI-T). The manufacturer pre-calibrated temperature recorders and were installed on the experimental islands and in salt-marsh enclosed plots at different elevation levels. Recorded data were internally logged until the readout with the DEFI Series software (V1.02). The position was derived from a portable DGPS-system. Date and Time is given in UTC. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
    Keywords: BEFmate; BEFmate_S2upp; biodiversity - ecosystem functioning; DATE/TIME; DEPTH, sediment/rock; DynaCom; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; Metacommunity; Miniature temperature recorder, JFE Advantech, DEFI-T [SN: 0ALG019]; MULT; Multiple investigations; off Spiekeroog, German Bight, North Sea; salt marsh; SCO; Spiekeroog; Spiekeroog Coastal Observatory; Temperature; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 52478 data points
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  • 93
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    Continuous temperature observations at station BEFmate_S3low in 2021 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Data presented here were collected between January 2021 to September 2023 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Temperature in the sediment surface layer (in approximately 0.05m depth) was measured with DEFI-T miniature temperature recorders (JFE Advantech Co., Ltd., Tokyo; DEFI-T). The manufacturer pre-calibrated temperature recorders and were installed on the experimental islands and in salt-marsh enclosed plots at different elevation levels. Recorded data were internally logged until the readout with the DEFI Series software (V1.02). The position was derived from a portable DGPS-system. Date and Time is given in UTC. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
    Keywords: BEFmate; BEFmate_S3low; biodiversity - ecosystem functioning; DATE/TIME; DEPTH, sediment/rock; DynaCom; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; Metacommunity; Miniature temperature recorder, JFE Advantech, DEFI-T [SN: 095p021]; MULT; Multiple investigations; off Spiekeroog, German Bight, North Sea; salt marsh; SCO; Spiekeroog; Spiekeroog Coastal Observatory; Temperature; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 52463 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 94
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    Continuous temperature observations at station BEFmate_S3pio in 2021 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Data presented here were collected between January 2021 to September 2023 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Temperature in the sediment surface layer (in approximately 0.05m depth) was measured with DEFI-T miniature temperature recorders (JFE Advantech Co., Ltd., Tokyo; DEFI-T). The manufacturer pre-calibrated temperature recorders and were installed on the experimental islands and in salt-marsh enclosed plots at different elevation levels. Recorded data were internally logged until the readout with the DEFI Series software (V1.02). The position was derived from a portable DGPS-system. Date and Time is given in UTC. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
    Keywords: BEFmate; BEFmate_S3pio; biodiversity - ecosystem functioning; DATE/TIME; DEPTH, sediment/rock; DynaCom; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; Metacommunity; Miniature temperature recorder, JFE Advantech, DEFI-T [SN: 0A91007]; MULT; Multiple investigations; off Spiekeroog, German Bight, North Sea; salt marsh; SCO; Spiekeroog; Spiekeroog Coastal Observatory; Temperature; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 52425 data points
    Location Call Number Expected Availability
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  • 95
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    Continuous temperature observations at station BEFmate_S3upp in 2021 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Data presented here were collected between January 2021 to September 2023 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Temperature in the sediment surface layer (in approximately 0.05m depth) was measured with DEFI-T miniature temperature recorders (JFE Advantech Co., Ltd., Tokyo; DEFI-T). The manufacturer pre-calibrated temperature recorders and were installed on the experimental islands and in salt-marsh enclosed plots at different elevation levels. Recorded data were internally logged until the readout with the DEFI Series software (V1.02). The position was derived from a portable DGPS-system. Date and Time is given in UTC. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
    Keywords: BEFmate; BEFmate_S3upp; biodiversity - ecosystem functioning; DATE/TIME; DEPTH, sediment/rock; DynaCom; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; Metacommunity; Miniature temperature recorder, JFE Advantech, DEFI-T [SN: 0B42031]; MULT; Multiple investigations; off Spiekeroog, German Bight, North Sea; salt marsh; SCO; Spiekeroog; Spiekeroog Coastal Observatory; Temperature; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 52495 data points
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    DATA PANGAEA
  • 96
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    Unknown
    Soil data and auxiliary climate variables from central Samoylov Island, Lena River Delta, Siberia (2012-2021) (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: The Arctic is changing rapidly as strong air temperature warming induces a multitude of feedback mechanisms including changes in the snow cover and warming and thawing of permafrost soils. Due to the high interannual variability, multi-year datasets are needed to asses the complex interaction between climate and soil variables. However, such data series are scarce in the Arctic and some areas such as North-east Siberia are widely understudied. Here we present a comprehensive dataset covering time series of 2012 to 2021 of soil and climate variables at the center of Samoylov Island, Lena River Delta, Siberia (72.3742°N, 126.4959°E). The data cover the spatial variability of a polygonal tundra landscape as one profile was installed at the elevated dry polygon rim and the second at the lower inundated polygon center. The time series include in total 16 soil temperature measurements at depths down to 1m, 4 ground heat flux series, two water level measurements in wells, 9 time series of soil moisture and the associated dielectricity, and 4 time series of soil thermal properties (thermal conductivity and heat capacity). Auxiliary measurements at the soil station include air temperature at 70cm height, 4 component radiation at polygon rim and center, snow depth, and snow dielectricity at two heights. The dataset includes comprehensive metadata and is suitable for integration in physically based climate and permafrost models.
    Keywords: active layer; longwave radiation; MON; Monitoring; Permafrost; permitivity; Samoylov_Island_Center; shortwave radiation; volumetric water content
    Type: Dataset
    Format: text/plain, 75 MBytes
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  • 97
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    Unknown
    Experiment details of the cation exchange capacity (CEC) laboratory experiment (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Keywords: cation exchange capacity; Center for Marine Environmental Sciences; cohesion; Date/time end, experiment; Effective normal stress; EXP; Experiment; fault; friction; Laboratory-experiments; MARUM; rate-and-state friction; Run; Sample material; Sample type; Testing Apparatus; Type of study; water-rock reactions
    Type: Dataset
    Format: text/tab-separated-values, 376 data points
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  • 98
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    Unknown
    Continuous temperature observations at station BEFmate_I3pio in 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Data presented here were collected between January 2021 to September 2023 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Temperature in the sediment surface layer (in approximately 0.05m depth) was measured with DEFI-T miniature temperature recorders (JFE Advantech Co., Ltd., Tokyo; DEFI-T). The manufacturer pre-calibrated temperature recorders and were installed on the experimental islands and in salt-marsh enclosed plots at different elevation levels. Recorded data were internally logged until the readout with the DEFI Series software (V1.02). The position was derived from a portable DGPS-system. Date and Time is given in UTC. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
    Keywords: BEFmate; BEFmate_I3pio; biodiversity - ecosystem functioning; DATE/TIME; DEPTH, sediment/rock; DynaCom; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; Metacommunity; Miniature temperature recorder, JFE Advantech, DEFI-T [SN: 095p023]; MULT; Multiple investigations; off Spiekeroog, German Bight, North Sea; salt marsh; SCO; Spiekeroog Coastal Observatory; Temperature; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 52541 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 99
    facet.materialart.
    Unknown
    Continuous temperature observations at station BEFmate_I3upp in 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Data presented here were collected between January 2021 to September 2023 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Temperature in the sediment surface layer (in approximately 0.05m depth) was measured with DEFI-T miniature temperature recorders (JFE Advantech Co., Ltd., Tokyo; DEFI-T). The manufacturer pre-calibrated temperature recorders and were installed on the experimental islands and in salt-marsh enclosed plots at different elevation levels. Recorded data were internally logged until the readout with the DEFI Series software (V1.02). The position was derived from a portable DGPS-system. Date and Time is given in UTC. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
    Keywords: BEFmate; BEFmate_I3upp; biodiversity - ecosystem functioning; DATE/TIME; DEPTH, sediment/rock; DynaCom; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; Metacommunity; Miniature temperature recorder, JFE Advantech, DEFI-T [SN: 095p019]; MULT; Multiple investigations; off Spiekeroog, German Bight, North Sea; salt marsh; SCO; Spiekeroog Coastal Observatory; Temperature; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 10420 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 100
    facet.materialart.
    Unknown
    Continuous temperature observations at station BEFmate_I3low in 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Data presented here were collected between January 2021 to September 2023 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Temperature in the sediment surface layer (in approximately 0.05m depth) was measured with DEFI-T miniature temperature recorders (JFE Advantech Co., Ltd., Tokyo; DEFI-T). The manufacturer pre-calibrated temperature recorders and were installed on the experimental islands and in salt-marsh enclosed plots at different elevation levels. Recorded data were internally logged until the readout with the DEFI Series software (V1.02). The position was derived from a portable DGPS-system. Date and Time is given in UTC. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
    Keywords: BEFmate; BEFmate_I3low; biodiversity - ecosystem functioning; DATE/TIME; DEPTH, sediment/rock; DynaCom; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; Metacommunity; Miniature temperature recorder, JFE Advantech, DEFI-T [SN: 095p005]; MULT; Multiple investigations; off Spiekeroog, German Bight, North Sea; salt marsh; SCO; Spiekeroog Coastal Observatory; Temperature; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 10422 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
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