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  • PANGAEA  (35,022)
  • Frontiers Media SA
  • 2020-2024  (36,846)
  • 1975-1979  (647)
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Year
  • 1
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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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  • 2
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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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  • 3
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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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  • 4
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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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  • 5
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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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  • 6
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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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  • 7
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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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  • 8
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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
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  • 9
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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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  • 10
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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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  • 11
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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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  • 12
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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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  • 13
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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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  • 14
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    Seawater carbonate chemistry and growth response of calcifying marine epibionts (2021)
    PANGAEA
    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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  • 15
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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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  • 16
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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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  • 17
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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
    Details
    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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  • 18
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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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  • 19
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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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  • 20
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    Physical oceanography during Alkor cruise AL540 (2024)
    PANGAEA
    Details
    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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  • 21
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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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  • 22
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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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  • 23
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    Nutrient and trace metal data distribution from water samples of HEINCKE cruise HE586 (2024)
    PANGAEA
    Details
    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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  • 24
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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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  • 25
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    Nutrient and trace metal data distribution from water samples of ALKOR cruise AL557 (2024)
    PANGAEA
    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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  • 26
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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
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  • 27
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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
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  • 28
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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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  • 29
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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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  • 30
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    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
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  • 31
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    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
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  • 32
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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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  • 33
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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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  • 34
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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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  • 35
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    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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  • 36
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    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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  • 37
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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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  • 38
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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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  • 39
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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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  • 40
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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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  • 41
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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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    DATA PANGAEA
  • 42
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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
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 43
    facet.materialart.
    Unknown
    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
  • 44
    facet.materialart.
    Unknown
    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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    DATA PANGAEA
  • 45
    facet.materialart.
    Unknown
    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
  • 46
    facet.materialart.
    Unknown
    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
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 47
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    Unknown
    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
  • 48
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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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    DATA PANGAEA
  • 49
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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
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 50
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    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
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 51
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    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
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 52
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    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
  • 53
    facet.materialart.
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    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
  • 54
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    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
  • 55
    facet.materialart.
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    Continuous temperature observations at station BEFmate_I7pio 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_I7pio; 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, 14510 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 56
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    Unknown
    Continuous temperature observations at station BEFmate_S2low 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_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 Coastal Observatory; Temperature; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 52392 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 57
    facet.materialart.
    Unknown
    Continuous temperature observations at station BEFmate_I7low 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_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 Coastal Observatory; Temperature; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 52136 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 58
    facet.materialart.
    Unknown
    Continuous temperature observations at station BEFmate_I7upp 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_I7upp; 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: 0B6U011]; 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, 41900 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 59
    facet.materialart.
    Unknown
    Continuous temperature observations at station BEFmate_S2upp 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_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 Coastal Observatory; Temperature; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 37702 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 60
    facet.materialart.
    Unknown
    Continuous temperature observations at station BEFmate_S3low 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_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 Coastal Observatory; Temperature; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 37672 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 61
    facet.materialart.
    Unknown
    Continuous temperature observations at station BEFmate_S3pio 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_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 Coastal Observatory; Temperature; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 37674 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 62
    facet.materialart.
    Unknown
    Continuous temperature observations at station BEFmate_I3pio in 2023 (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, 35274 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 63
    facet.materialart.
    Unknown
    Continuous temperature observations at station BEFmate_S3upp 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_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 Coastal Observatory; Temperature; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 37705 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 64
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    Unknown
    Continuous temperature observations at station BEFmate_I7low in 2023 (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, 34744 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 65
    facet.materialart.
    Unknown
    Continuous temperature observations at station BEFmate_I7pio in 2023 (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_I7pio; 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: 0B6U011]; 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, 34797 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 66
    facet.materialart.
    Unknown
    Continuous temperature observations at station BEFmate_I7upp in 2023 (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_I7upp; 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, 34826 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 67
    facet.materialart.
    Unknown
    Continuous temperature observations at station BEFmate_S2low in 2023 (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, 35301 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 68
    facet.materialart.
    Unknown
    Continuous temperature observations at station BEFmate_S3low in 2023 (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, 24542 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 69
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    Unknown
    Continuous temperature observations at station BEFmate_S2pio in 2023 (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_S2pio; 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: 0B6U012]; 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, 24512 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 70
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    Soil data at station Bayelva (2023, level 1) (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the Bayelva Site at Ny-Ålesund, Svalbard, where meteorology, energy balance components and subsurface observations have been made for more than the last 20 years. The data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and the atmosphere, such as active layer and permafrost temperature, soil volumetric water content and soil bulk electrical conductivity. 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; Arctic; AWI_Perma; Bayelva; Bayelva_Station; dielectricity; dielectric number; Electrical conductivity; Monitoring station; MONS; Ny-Ålesund, Spitsbergen; Permafrost; Permafrost Research; relative permittivity; Soil; Soil Moisture; soil temperature; Svalbard; Temperature; water content
    Type: Dataset
    Format: text/plain, 5 MBytes
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  • 71
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    Meteorological observations at Bayelva Station in 2023 (level 1) (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-19
    Description: Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the Bayelva Site at Ny-Ålesund, Svalbard, where meteorology, energy balance components and subsurface observations have been made for more than the last 20 years. The data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and atmosphere, such as snow depth, snow dielectric number, snow temperature, liquid precipitation, air temperature, relative humidity, wind speed and direction and radiation fluxes. 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: air temperature; Arctic; AWI_Perma; Bayelva; Bayelva_Station; DATE/TIME; Humidity, relative; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; Net radiation; Ny-Ålesund, Spitsbergen; permafrost; Permafrost Research; Permittivity, relative; precipitation; Precipitation; Quality flag; Quality flag, air temperature; Quality flag, long-wave downward radiation; Quality flag, long-wave upward radiation; Quality flag, net radiation; Quality flag, permittivity; Quality flag, precipitation; Quality flag, relative humidity; Quality flag, short-wave downward (GLOBAL) radiation; Quality flag, short-wave upward (REFLEX) radiation; Quality flag, snow height; Quality flag, wind direction; Quality flag, wind speed; radiation; relative humidity; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; snow depth; snow height; Snow height; Svalbard; Temperature, air; wind direction; Wind direction; Wind direction, standard deviation; wind speed; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 577626 data points
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  • 72
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    Basic measurements of radiation at 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; Diffuse radiation; Diffuse radiation, standard deviation; HEIGHT above ground; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Eppley, PSP, SN 30123 F3, WRMC No. 42001; Pyranometer, Eppley, PSP, SN 32608 F3, WRMC No. 42003; Pyrgeometer, Eppley, PIR, SN 32597 F3, WRMC No. 42006; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 224024 data points
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  • 73
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    ATLAS Mingulay Reef Complex Macrobenthos and Environmental Data (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-18
    Description: The presence-absence data for macrobenthic fauna that has been collected in Mingulay Reef Complex (Scotland, UK) across 79 stations over the years 2003, 2005, 2009, 2010 and 2011. The collection of the benthic samples has been carried out using a Van-Veen grab, mainly from hard habitats (e.g. live and dead coral framework). About 60% of the macrofaunal specimens have been identified at species level using high quality taxonomic keys and advice from taxonomy experts. Most common taxonomic groups analysed here are molluscs, polychaetes, arthropods, bryozoans, anthozoans, tunicates and brachiopods. The collection of the specimens is now deposited at the National Museums of Scotland (see the attached excel file for details). The enviromental data contains information about coordinates and environmental settings at stations where macrobenthic samples mentioned above, were collected. The environmental settings that are included in the file refer to the years 2003, 2005, 2009, 2010, 2011. For more information on the environmental variables have a look in Henry et al. 2010 (doi:10.1007/s00338-009-0577-6) and Henry et al. 2013 (doi:10.5194/bg-10-2737-2013). The environmental variables included in the excel file are: type of macrohabitat (i.e. muddy sand, rubble, rock, live coral, dead framework, live & dead framework), depth (m), slope, ruggedness, broad-scale bathymetric position index, fine-scale bathymetric position index, average current speed (m/s), maximum current speed (m/s), northness, eastness, winter North Atlantic Oscillation Index (same year), winter North Atlantic Oscillation Index (previous year), annual average bottom temperature (same year), annual average bottom salinity (same year). Extraction of bathymetric (depth) and topographic data [slope, aspect, northness, eastness, ruggedness, standardised broad-scale bathymetric position index (BPI; with an inner radius of 1 cell and an outer radius of 5 cells), fine-scale BPI (with an inner radius of 1 cell and an outer radius of 3 cells)] was based on multibeam echosounder data, using the Spatial Analyst and Benthic Terrain Modeler toolboxes in ArcGIS v.10.6.1 Average and maximum current speed values (m/s) were extracted by the ArcGIS v. 10.6.1 Spatial Analyst toolbox using data generated by a high-resolution 3D ocean model created for the MRC by Moreno-Navas et al. (2014). Data for the winter NAOI (DJFM) (Hurrell et al., 2003) were downloaded from the National Center for Atmospheric Research/University Corporation for Atmospheric Research website (climatedataguide.ucar.edu; data accessed on 28/02/2019).
    Keywords: ATLAS; A Trans-Atlantic assessment and deep-water ecosystem-based spatial management plan for Europe; Climate change; continental shelf; coral reefs; Deep sea; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Macrofauna; vulnerable marine ecosystems
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 74
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    Organic and inorganic proxies, and concentration of diatoms from surface sediment PS97/ Sterols preserved in surface sediments PS97/ Diatoms of surface sediments PS97 (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-18
    Description: The Antarctic Circumpolar Current is the world's largest current system connecting all major ocean basins of the global ocean. Its flow, driven by strong westerly winds, is constricted to its narrowest extent in the Drake Passage, located between South America and the Antarctic Peninsula. Due to the remoteness of the area, harsh weather conditions and strong bottom currents, sediment recovery is difficult and data coverage is still inadequate. Here, we report on the composition of 51 surface sediments collected during the R/V Polarstern PS97 expedition (February-April 2016) across the western and central Drake Passage, from the Chilean/Argentinian continental margin to the South Shetland Islands and the Bransfield Strait (water depth: ∼100-4000 m). We studied microfossils (diatoms), bulk sediment composition and geochemical proxies (biogenic opal, organic carbon, calcium carbonate, carbon and nitrogen stable isotopes, sterols and photosynthetic pigments), and evaluated how they respond to, and reflect oceanic domains and polar to subpolar frontal systems in this region. Our multi-proxy approach shows a strong relationship between the composition of surface sediments and ocean productivity, terrigenous input, intensity of ocean currents, and ice proximity, clearly differentiating among 4 biogeographical zones. The Subantarctic Zone was characterized by warmer-water diatoms, high carbonate (〉45%) and low organic carbon contents (avg. 0.26%), as well as low concentrations of pigments (avg. 1.75 μg/g) and sterols (avg. 0.90 μg/g). A general N-S transition from carbonate-rich to opal-rich sediment was observed at Drake Passage sites of the Polar Front and Permanently Open Ocean Zone. These sites were characterized by low organic carbon content (0.22%), high relative abundances of heavily silicified diatoms (≥60% Fragilariopsis kerguelensis), and abundant foraminifera at shallower stations. Approaching the Antarctic Peninsula in the Transitional Zone, an increase in the concentrations of pigments and sterols (avg. 2.57 μg/g and 1.44 μg/g, respectively) and a strong decrease in carbonate content was observed. The seasonal Sea-Ice Zone in the southern section of the study area, had the highest contents of biogenic opal (avg. 14.6%) and organic carbon (avg. 0.7%), low carbonate contents (avg. 2.4%), with the occurrence of sea-ice-related diatoms and sterols. In all zones, terrigenous input was detected, although carbon/nitrogen ratios and δ13Corg suggest a predominance of marine-derived organic matter; lower values of δ13Corg occurred south of the Polar Front. The new results presented here constitute a highly valuable reference dataset for the calibration of microfossil and geochemical proxies against observational data and provide a useful regional baseline for future paleo-research.
    Keywords: diatoms; Drake Passage; organic carbon; Photosynthetic pigments; sterols; Surface sediments
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 75
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    Dinoflagellate cyst abundances in the benthic nepheloid layer, sediment trap and surface sediments off Figueira da Foz (NW Portugal, Atlantic Iberian margin) (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-18
    Description: This dataset includes counts, percentages and concentrations of all dinoflagellate cyst taxa identified in the benthic nephloid layer (BNL), cyst rain and surface sediments collected along a land-sea transect off Figueira da Foz (NW Portugal, Atlantic Iberian margin) during the Hydrographic Institute (IH)-HABWAVE cruise (16th-19th September 2019). Sampling of the dinoflagellate cyst community in the BNL, the water column (sediment trap) and the surface sediments (together with studies of spatio-temporal changes in physical properties) were carried out in order to investigate the dinoflagellate cyst distribution and the factors (physical and biological) affecting it. Water samples for cyst analyses were collected by a rosette firing system associated with the CTD, and the cyst rain using a sediment trap situated above the BNL. They were filtered (40-47 l) on board through a 150µm-nylon mesh sieve onto a 10µm-calibrated stainless steel sieve (Retsch). In the laboratory, cysts were concentrated by centrifugation. Full and empty cysts were counted to investigate whether a reservoir of viable cysts existed in the BNL. Surface sediments were sampled with a Smith McIntyre grab and using Plexiglass tubes (3.6 cm internal diameter) that were inserted in the sediment to recover the top 1-cm layer. Cysts from sediments were concentrated by density separation with sodium polytungstate (2.016 g/ml).
    Keywords: Benthic nepheloid layer; Coastal dynamics; Dinoflagellate cysts; NW portuguese margin; Surface sediments
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 76
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    Lipid biomarkers and oceanographic parameters in surface water and surface sediments in the eastern China marginal seas (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-18
    Description: This dataset comprises new data and previously published data on marine lipid biomarkers (brassicasterol, dinosterol, C37 alkenones, and the sum of them [∑PB]) in surface suspended particles at 334 stations from seven cruises between 2010 and 2015, and in surface sediments at 258 stations from eight cruises between 2006 and 2012 in the eastern China marginal seas (ECMS). Of all marine lipid biomarker data, 107 surface suspended particle samples were newly measured, with 227 surface suspended particle samples and 258 sediment samples previously published. We also provide the following oceanographic data, most of which were collected from published results (as described in the publication): sea surface temperature (SST, n = 273, from five cruises in summer of 2010–2015), salinity (n = 273, from five cruises in summer of 2010–2015), nutrient concentrations (dissolved inorganic nitrogen [DIN], dissolved inorganic phosphorus [DIP] and silicate [Si]) (n = 133, from three cruises in summer of 2011 and 2015) and Chl a (chlorophyll a, n = 229, from five cruises in summer of 2010–2014) in the surface water, as well as terrestrial biomarker [∑(C27 + C29 + C31) n-alkanes] contents (n = 226), TOC (total organic carbon content, n = 200), δ13CTOC (stable carbon isotope values for TOC, n=269), and sedimentation rate (n = 220) in surface sediments. Some data were measured using in situ CTD instrument in this study: sea surface temperature and salinity in the East China Sea in June 2010 and July 2013 (n = 54), and Chl a in the Changjiang River Estuary in August 2015 (n = 33). The contents of ∑(C27 + C29 + C31) n-alkanes in the southern Yellow Sea in April 2012 (n = 32) were also newly measured. The surface suspended particle samples were obtained by filtering on Whatman GF/F filters, and the surface sediments were collected by multiple corers or stainless-steel grab samplers. Marine and terrestrial lipid biomarkers were analyzed by gas chromatograph (Agilent 6890N) according to the method in Zhao et al. 2006 (doi: 10.1016/j.orggeochem.2005.08.022) and Wu et al. 2016 (doi: 10.1002/2015JG003167). The study resulting from this analysis has been published in Frontiers in Marine Science (doi:10.3389/fmars.2022.824181).
    Keywords: Alkenones; Biomarkers; marginal seas; sterol; Surface sediments; surface water
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 77
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    Published carbon isotope fractionation (Ɛp) and environmental data for photic zone and surface sediment samples (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-18
    Description: References of the studies in which b has been calculated from Ɛp values from alkenones, together with the coordinates, in-situ and estimated (if in-situ was not available) [CO2]aq, PO43-, SST, PAR and modeled coccolithophore growth rate using the global model [Krumhardt et al., 2017]. Interpolated micropaelontological datasets to the locations of the surface sediment samples: planktonic foraminifera intermediate-surface ratio, relative abundance of Florisphaera profunda and offset in d18O between shallow and deep planktonic foraminifera used in Fig. 8. Calculations of the required growth rate and residuals of the pruned model (CO2aq + size) (Fig. 9).
    Keywords: Arabian_Sea; Area/locality; Bermuda; b - physiological parameter; Carbon dioxide, aquatic; carbon isotope fractionation; Central_Equatorial_Pacific; Coccolithophores; DEPTH, water; East_Equatorial_Pacific; Event label; Florisphaera profunda; Group; growth rate; Growth rate, cell divison per day; Growth rate, required; Isotopic fractionation, during photosynthis; LATITUDE; LONGITUDE; North_East_Pacific; Peru_Upwelling_North; Peru_Upwelling_South; Phosphate; photic zone; Phytoplankton; Pruned model (Hernandez-Almeida et al., 2020); Radiation, photosynthetically active; Reference/source; Residual of isotopic fractionation, during photosynthis; Sea surface temperature; Shallow-intermediate planktic foraminifera ratio; SO; South_Atlantic; South_East_Pacific; Sta_Monica; Surface sediments; Type; δ18O gradient, planktic foraminifera
    Type: Dataset
    Format: text/tab-separated-values, 1432 data points
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  • 78
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    3D reflection seismic data from Eivissa Channel, western Mediterranean Sea during RRS Charles Darwin cruise CD178 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-18
    Description: 3D reflection seismic data were acquired using the P-Cable system of the National Oceanographic Centre, Southampton, UK during cruise 178 Leg 2 onboard RRS Charles Darwin between the 5th and 8th of April 2006. The responsible PI's was C. Berndt, Southampton Oceanography Centre, Southampton, UK. The aim of this cruise was to map submarine landslides on the eastern slopes of the Eivissa Channel, western Mediterranean Sea located between the islands of Ibiza-Formentera and the Spanish mainland. Berndt et al. (2012) used the acquired data to study repeated slope failure linked to fluid migration, while Lafuerza et al. (2012) studied geotechnical aspects of slope stability using this as additional data. Acquisition parameters: The source during seismic acquisition consisted of four 40 in3 Bolt 600B air guns spaced 0.75 m apart and tower at a depth of 1.5 m about 20 m behind the stern of the vessel (Berndt et al., 2012). The air guns are fitted with wave shape kits that emit approximately 10 in3 of air prior to the main volume to reduce the bubble pulse. The air pressure is 2000 psi, and the gun controller triggers the guns to figure every 7 seconds. The data were collected with 11 single-channel analogue streamers that were towed 10 m apart. The seismic cube in the Eivissa Channel covers an area of ca. 14 km2 (ca. 6.4 EW x 2.2 NS km) located at 306091.83 4280497.41; 305951.42 4278353.92; 312321.94 4277936.57 in UTM zone 31N. 3D seismic processing: Data were frequency filtered from 45 to 220 Hz and binned at 10 m bin interval before a Stolt time migration with a migration velocity of 1500 ms-1 was carried out. The resolution of the data is approximately 5-6 m vertically and for the 10 m inline and crossline spacing the horizontal resolution is 10-15 m (Berndt et al., 2012). Seismic data acquisition was performed between 10:05 PM on the 5th of April until 08:30 PM on the 7th of April 2006 (CD178 cruise report). The seismic cube is located at water depths of 550 to 825 m from east to west. Raw data is available here:doi:10.1594/PANGAEA.943523.
    Keywords: 3D seismic P-Cable data; Ana Slide; Binary Object; Binary Object (File Size); CD178; CD178_3D_Ana_Slide; Charles Darwin; Eivissa Channel; File content; geohazards; Geomorphology; Gulf of Cádiz, Atlantic Ocean; HERMIONE; Hotspot Ecosystem Research and Mans Impact On European Seas; Mediterranean; P-Cable; P-Cable 3D Seismic; P-Cable 3D seismic cube; sediment transport; SEIS; Seismic; seismic interpretation; Spain; submarine landslide; tectonic geomorphology; Western Mediterranean; Western Mediterranean Sea
    Type: Dataset
    Format: text/tab-separated-values, 4 data points
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  • 79
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    2D reflection seismic data from Eivissa Channel, western Mediterranean Sea during RRS Charles Darwin cruise CD178 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-18
    Description: 3D reflection seismic data were acquired using the P-Cable system of the National Oceanographic Centre, Southampton, UK during cruise 178 Leg 2 onboard RRS Charles Darwin between the 5th and 8th of April 2006. The responsible PI's was C. Berndt, Southampton Oceanography Centre, Southampton, UK. The aim of this cruise was to map submarine landslides on the eastern slopes of the Eivissa Channel, western Mediterranean Sea located between the islands of Ibiza-Formentera and the Spanish mainland. Berndt et al. (2012) used the acquired data to study repeated slope failure linked to fluid migration, while Lafuerza et al. (2012) studied geotechnical aspects of slope stability using this as additional data. Acquisition parameters: The source during seismic acquisition consisted of four 40 in3 Bolt 600B air guns spaced 0.75 m apart and tower at a depth of 1.5 m about 20 m behind the stern of the vessel (Berndt et al., 2012). The air guns are fitted with wave shape kits that emit approximately 10 in3 of air prior to the main volume to reduce the bubble pulse. The air pressure is 2000 psi, and the gun controller triggers the guns to figure every 7 seconds. The data were collected with 11 single-channel analogue streamers that were towed 10 m apart. The seismic cube in the Eivissa Channel covers an area of ca. 14 km2 (ca. 6.4 EW x 2.2 NS km) located at 306091.83 4280497.41; 305951.42 4278353.92; 312321.94 4277936.57 in UTM zone 31N. 2D seismic processing: During seismic processing of the 3D dataset significant ghost-artefacts were identified because some of the streamers were towed too deep. This required de-ghosting. Unfortunately, these attempts did not yield improved quality of the 3D seismic data. This was mainly because the 12.5 m streamers were too short for commonly used de-ghosting technique used in the industry. To increase vertical resolution individual 2D profiles were extracted from the raw dataset. Processing steps included frequency bandpass filtering, burst noise attenuation, binning, NMO-correction, stacked, and a Stolt migration with 1520 ms-1 was applied that resulted in higher resolution 2D profiles for 85 lines and 11 streamers (channels).
    Keywords: 3D seismic P-Cable data; Ana Slide; Binary Object; Binary Object (File Size); CD178; CD178_eivissa_line01; CD178_eivissa_line02; CD178_eivissa_line03; CD178_eivissa_line04; CD178_eivissa_line05; CD178_eivissa_line06; CD178_eivissa_line07; CD178_eivissa_line08; CD178_eivissa_line09; CD178_eivissa_line10; CD178_eivissa_line11; CD178_eivissa_line12; CD178_eivissa_line13; CD178_eivissa_line14; CD178_eivissa_line15; CD178_eivissa_line16; CD178_eivissa_line17; CD178_eivissa_line18; CD178_eivissa_line19; CD178_eivissa_line20; CD178_eivissa_line21; CD178_eivissa_line22; CD178_eivissa_line23; CD178_eivissa_line24; CD178_eivissa_line25; CD178_eivissa_line26; CD178_eivissa_line27; CD178_eivissa_line28; CD178_eivissa_line29; CD178_eivissa_line30; CD178_eivissa_line31; CD178_eivissa_line32; CD178_eivissa_line33; CD178_eivissa_line34; CD178_eivissa_line35; CD178_eivissa_line36; CD178_eivissa_line37; CD178_eivissa_line38; CD178_eivissa_line39; CD178_eivissa_line40; CD178_eivissa_line41; CD178_eivissa_line42; CD178_eivissa_line43; CD178_eivissa_line44; CD178_eivissa_line45; CD178_eivissa_line46; CD178_eivissa_line47; CD178_eivissa_line48; CD178_eivissa_line49; CD178_eivissa_line50; CD178_eivissa_line51; CD178_eivissa_line52; CD178_eivissa_line53; CD178_eivissa_line54; CD178_eivissa_line55; CD178_eivissa_line56; CD178_eivissa_line57; CD178_eivissa_line58; CD178_eivissa_line59; CD178_eivissa_line60; CD178_eivissa_line61; CD178_eivissa_line62; CD178_eivissa_line63; CD178_eivissa_line64; CD178_eivissa_line65; CD178_eivissa_line66; CD178_eivissa_line67; CD178_eivissa_line68; CD178_eivissa_line69; CD178_eivissa_line70; CD178_eivissa_line71; CD178_eivissa_line72; CD178_eivissa_line73; CD178_eivissa_line74; CD178_eivissa_line75; CD178_eivissa_line76; CD178_eivissa_line77; CD178_eivissa_line78; CD178_eivissa_line79; CD178_eivissa_line80; CD178_eivissa_line81; CD178_eivissa_line82; CD178_eivissa_line83; CD178_eivissa_line84; CD178_eivissa_line85; Charles Darwin; Eivissa Channel; Event label; File content; geohazards; Geomorphology; HERMIONE; Hotspot Ecosystem Research and Mans Impact On European Seas; Latitude of event; Latitude of event 2; Longitude of event; Longitude of event 2; Mediterranean; P-Cable; P-Cable 3D seismic cube; sediment transport; seismic interpretation; Seismic reflection profile; SEISREFL; Spain; submarine landslide; tectonic geomorphology; Western Basin; Western Mediterranean; Western Mediterranean Sea
    Type: Dataset
    Format: text/tab-separated-values, 1884 data points
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  • 80
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    Soil-, fluvial-, plant- and marine derived organic carbon from surface sediments (0-2 cm) from the northern Gulf of Mexico (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-18
    Description: This dataset contains the bulk sediment parameters (total organic carbon (TOC), carbon nitrogen ratio (C/N), δ13C), lipid biomarker (branched glycerol dialkyl glycerol tetraethers (brGDGTs), crenarchaeol, long-chain diols, long-chain n-alkanes, alkenones, sterols) and palynological (dinoflagellate cysts, pollen) content of 20 surface sediments (0-2 cm) from the northern Gulf of Mexico, near the Mississippi and Atchafalaya river mouths. Samples were retrieved from three land-sea transects; (1) offshore the Mississippi river, (2) offshore the Atchafalaya river and (3) on the 20 m isobar on the Louisiana shelf, during a research cruise in February 2020. Samples were analysed on their organic carbon composition, which was divided into soil-, fluvial- and plant-derived terrestrial organic carbon, and marine produced organic carbon, to investigate if the composition and quality of the terrestrial carbon had an influence on their dispersal patterns.
    Keywords: 64PE467; 64PE467_20b; 64PE467_20c; 64PE467_20d; 64PE467_20e; 64PE467_20f; 64PE467_80b; 64PE467_A100; 64PE467_A15; 64PE467_A30; 64PE467_A300; 64PE467_A3200; 64PE467_A50; 64PE467_A600; 64PE467_M100; 64PE467_M15; 64PE467_M200; 64PE467_M300; 64PE467_M50; 64PE467_M600; 64PE467_MonSt20; Alkenone, per unit mass total organic carbon; Alkenones; Average chain length; beta-Sitosterol of total sterols; Branched glycerol dialkyl glycerol tetraether, Ia; Branched glycerol dialkyl glycerol tetraether, Ib; Branched glycerol dialkyl glycerol tetraether, IIa; Branched glycerol dialkyl glycerol tetraether, IIa'; Branched glycerol dialkyl glycerol tetraether, IIb; Branched glycerol dialkyl glycerol tetraether, IIb'; Branched glycerol dialkyl glycerol tetraether, IIc; Branched glycerol dialkyl glycerol tetraether, IIc'; Branched glycerol dialkyl glycerol tetraether, IIIa; Branched glycerol dialkyl glycerol tetraether, IIIa'; Brassicasterol of total sterols; brGDGTs; C/N; Campesterol of total sterols; Carbon, organic, total; Carbon/Nitrogen ratio; crenarchaeol; Crenarchaeol, per unit mass total organic carbon; Date/Time of event; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dinocysts; Dinoflagellate cyst, autotrophic; Dinoflagellate cyst, heterotrophic; Dinoflagellate cyst, per unit mass total organic carbon; Dinoflagellate cyst, per unit sediment mass; Dinosterol of total sterols; Elemental Analyzer (Fisions Instruments NA 1500) coupled to a FinniganMat Delta Plus IRMS; Elevation of event; Event label; FC32 1,15; Gas Chromatograph coupled to a Flame Ionization Detector (GC-FID, Hewlett Packard 6890 series); Gulf of Mexico; High Performance Liquid Chromatography - Mass spectrometry (HPLC-MS); Latitude of event; Location of event; Long chain diol, C28 1,13-diol, per unit mass total organic carbon; Long chain diol, C28 1,14-diol, per unit mass total organic carbon; Long chain diol, C30 1,13-diol, per unit mass total organic carbon; Long chain diol, C30 1,14-diol, per unit mass total organic carbon; Long chain diol, C30 1,15-diol, per unit mass total organic carbon; Long chain diol, C32 1,15-diol, per unit mass total organic carbon; long-chain diols; Long-chain n-alkanes; Longitude of event; MUC; MultiCorer; organic carbon composition; Pelagia; pollen; Pollen, per unit mass total organic carbon; Pollen, per unit sediment mass; Sample ID; sterols; Sterols, marine, per unit mass total organic carbon; Sterols, terrestrial, per unit mass total organic carbon; Stigmasterol of total sterols; Sum n-alkanes C29-C35, per unit mass total organic carbon; Surface sediments; TOC; δ13C; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 820 data points
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  • 81
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    Lignin concentrations and delta13C of organic matter in surface sediments from the Baltic Sea (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-18
    Description: The relative contribution and the composition of terrestrial organic matter were assessed by the analysis of phenolic lignin oxidation products and by the stable isotope composition of organic carbon in surface sediments of the Baltic Sea. For analyses, sub samples of lyophilized, ground and homogenized surface sediment (0-1 cm) material from the collection of surface sediments of the Institut fuer Ostseeforschung Warnemuende were used. Methods Lignin analysis: Between 500 to 2000 mg of dried and homogenised sediment were oxidized at 170°C for 2 h in the presence of 2 mol/L NaOH, CuO, and (NH)4Fe(SO4)2. After centrifugation, the supernatants were acidified to pH 2 with 6 mol/L HCl. The humic acids, which precipitated, were removed by centrifugation. The supernatant was further purified by solid phase extraction. The lignin-derived phenols were sorbed from the acidic solution on C18 material and later eluted with ethyl acetate. The solvent was removed by rotary evaporation, and the phenolic oxidation products were transferred to autosampler vials with methanol that was then removed under a flux of N2. Before analysis by GC/MS, the samples were dissolved in acetonitrile and derivatized with N,O-bis-(trimethylsilyl)trifluoroacetamid (BSTFA) for 1 h at room temperature. Thereafter, they were diluted with acetonitrile according to the expected phenol concentrations. One microliter of each sample was injected in splitless mode, and the phenols were separated in a HP 6890 gas chromatograph equipped with a HP5MS column (30 m x 250 micrometer x 0.25 micrometer). The temperature program of the gas chromatograph was 100°C isothermal for 4 min, ramp to 220°C at 4°C min^-1 with a 5-min isothermal period at 120°C, isothermal at 220°C for 3 min, ramp to 300°C at 30°C min^-1, and final isothermal period for 10 min. The transfer line to the mass spectrometer was kept at 325°C throughout the analysis. The HP 5973 mass spectrometer was operated in the EI mode at 70 eV. The ion source temperature was 230°C, and the quadrupole was kept at 150°C. Compounds were quantified by integration of the base ions and by comparison of the peak areas with those of synthetic standards. Before oxidation, ethylvanillin was added as an internal standard for the determination of recovery. To rule out possible transformations of the internal standard during the oxidation step, blanks containing only ethylvanillin and the reagents were also processed. GC-FID analysis of these blanks displayed a single peak with the retention time of ethylvanillin, and there was no evidence of any transformation of ethylvanillin during the oxidation step under the experimental conditions. The internal standard was added at the beginning of the analysis to ensure that the internal standard and the lignin oxidation products have the same history during the entire analysis. On average, 75% of the added ethylvanillin was recovered after the complete analytical procedure; the range of recoveries was from 50% to 105%. Concentrations and delta13C of total organic carbon Approximately 20 mg of the homogenized sample were weighed into tared sample vessels for elemental composition (total carbon, total nitrogen, organic carbon) and for isotope analyses (delta13C of organic carbon). Total carbon was determined in a Carlo Erba/Fisons 1108 Elemental Analyzer after combustion. A second weighed sample split in tared silver foil vessels was treated with 2N HCl to remove inorganic carbon. On this sub-sample, the concentrations of TOC and isotope ratio delta13C of organic carbon (given in permil versus V-PDB) were determined simultaneously in a Carlo Erba/Fisons 1108 Elemental Analyzer connected to an isotope-ratio mass spectrometer (Finnigan Delta S). The reference gas was pure CO2 from a cylinder calibrated against carbonate (NBS- 18, 19, 20). The standard deviation for replicate analyses of delta13C was less than 0.2 permil. The original data were corrected for the addition of anthropogenic CO2 (Suess effect) by substracting – 1.48 permil from the measured delta13C values of total organic carbon.
    Keywords: 1; 109; 113; 150; 202; 202750; 202820; 202840; 202880; 213; 22; 220000; 220010; 220020; 220030; 220040; 220050; 220300; 220310; 220320; 220500; 220510; 220520; 220580; 220590; 220620; 220630; 220660; 220670; 220720; 220730; 220770; 220780; 220790; 220800; 220810; 220930; 223510; 223520; 223530; 223540; 223550; 223560; 223570; 223580; 223590; 223600; 223610; 223620; 223630; 223640; 223760; 223770; 223780; 223790; 223800; 223810; 223820; 223830; 223840; 223850; 223860; 223870; 223880; 223890; 223900; 223910; 223920; 223930; 223940; 223950; 223960; 223970; 223980; 223990; 224000; 224010; 224020; 224030; 224040; 224050; 224060; 224070; 224080; 224090; 224100; 224110; 224120; 224130; 224140; 224150; 224160; 224170; 224180; 224190; 224200; 271; 286; 30; 33; 360; 40/95/07; 40/98/07; 40/98/14; 40/98/16; 40/98/16_30; 40/98/16_360; 40/98/18; 40/99/11; 40/99/24; 44/95/05; 44/95/05_10; 44/97/07; 46; 99/98/01; Arhus1; Arhus2; Arhus3; Arhus4; Arhus5; Arhus6; Arkona Basin; Arkona Sea; AU_Arhus1; AU_Arhus2; AU_Arhus3; AU_Arhus4; AU_Arhus5; AU_Arhus6; Baltic Sea; Belt Sea; Bornholm Sea; Breitling; Carbon, organic, total; Danish Straits; delta13C of organic carbon; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; E10; E12; E2; E3; E7; E9; EB-1; Elevation of event; Event label; F-2; Ferulic acid per unit sediment mass; FIMR_EB-1; FIMR_F-2; FIMR_GF-1; FIMR_SL-2S; FIMR_US-5B; Gda?sk Bay; GF-1; Gotland Sea; Gulf of Bothnia; Gulf of Finland; IOW1; IOW109; IOW113; IOW150; IOW202; IOW202750; IOW202820; IOW202840; IOW202880; IOW213; IOW214280-1; IOW22; IOW220000; IOW220010; IOW220020; IOW220030; IOW220040; IOW220050; IOW220300; IOW220310; IOW220320; IOW220500; IOW220510; IOW220520; IOW220580; IOW220590; IOW220620; IOW220630; IOW220660; IOW220670; IOW220720; IOW220730; IOW220770; IOW220780; IOW220790; IOW220800; IOW220810; IOW220930; IOW223510; IOW223520; IOW223530; IOW223540; IOW223550; IOW223560; IOW223570; IOW223580; IOW223590; IOW223600; IOW223610; IOW223620; IOW223630; IOW223640; IOW223760; IOW223770; IOW223780; IOW223790; IOW223800; IOW223810; IOW223820; IOW223830; IOW223840; IOW223850; IOW223860; IOW223870; IOW223880; IOW223890; IOW223900; IOW223910; IOW223920; IOW223930; IOW223940; IOW223950; IOW223960; IOW223970; IOW223980; IOW223990; IOW224000; IOW224010; IOW224020; IOW224030; IOW224040; IOW224050; IOW224060; IOW224070; IOW224080; IOW224090; IOW224100; IOW224110; IOW224120; IOW224130; IOW224140; IOW224150; IOW224160; IOW224170; IOW224180; IOW224190; IOW224200; IOW271; IOW286; IOW33; IOW46; IOWArkonaBasin; IOWE10; IOWE12; IOWE2; IOWE3; IOWE7; IOWE9; IOWNordperd; IOWODAS; IOWRB1; IOWTromperWiek; Kattegatt; Kleines Haff; Latitude of event; lignin alkaline Cu oxidation; Longitude of event; Nordperd; ODAS; Optional event label; PAP40/98/05; p-Coumaric acid per unit sediment mass; Professor Albrecht Penck; RB1; Skagerrak; SL-2S; Suess corrected; Surface sediments; Syringaldehyde per unit sediment mass; Syringic acid per unit sediment mass; Tromper Wiek; US-5B; Vanillic acid per unit sediment mass; Vanillin per unit sediment mass; Vibration corer IOW; VKG; δ13C, total organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 1211 data points
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  • 82
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    Unknown
    Dissolved trace elements (Fe, Mn, Co, Ni, Cu, Zn, Cd and Pb) measured on water bottle samples from ultra clean CTD/Water sampler-system during POLARSTERN cruise PS100 / GN05 (ARK-XXX/2) (2021)
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    Publication Date: 2024-06-18
    Description: This dataset contains measured dissolved trace element concentrations (Fe, Mn, Co, Ni, Cu, Zn, Cd and Pb) of station depth profiles sampled in Fram Strait (North Greenland Sea) during GEOTRACES expedition GN05 (PS100) between 21 July and 1 September 2016. Samples were collected strictly following GEOTRACES guidelines (Cutter et al., 2017; https://www.geotraces.org) and analysed exactly as per Rapp et al., 2017 ( Anal. Chim. Acta; doi:10.1016/j.aca.2017.05.008). Concentrations were intercalibrated with GEOTRACES reference materials SAFe S and GSC (Bruland Research Lab), with exception of dissolved Cd data. Information on the analytical procedure including reference materials and limits of detection can be found in related published manuscripts, the PhD thesis of Stephan Krisch (Christian-Albrechts-Universität zu Kiel) or can be obtained from the authors upon request. Table caption: Measured concentrations of dissolved trace elements in Fram Strait sampled during GEOTRACES expedition GN05 (PS100) between 21 July-1 September 2006. Uncertainty is calculated as one standard deviation (1σ, STD) to replicate measurements via ICP-MS. ND = no data. Use of quality flags (QF) according to GEOTRACES policy (https://www.geotraces.org/geotraces-quality-flag-policy/). Plesae note, dissolved Cd data is not quality controlled. Somes samples were pooled (indicated in column "Bottle") from different bottles at one depth; the concentrations reflects the mean and the corresponding uncertainty is calculated as the standard deviation to replicate measurements. Trace metal concentrations at station 24 may show larger variations between different bottles at one specific depth. Because station 24 is located at Dijmphna Sund entrance sill, we associate these discrepancies to the water column's strong lateral and vertical turbulence (see ucCTD physical oceanography data) (e.g. Mortensen et al. 2011, 2013, Carroll et al. 2017) that goes in hand with localized TM aggregation-dissolution and sediment resuspension processes, thus affecting TM fractionation (e.g. Homoky et al. 2012).
    Keywords: Arctic; ARK-XXX/2, GN05; Bottle number; Cadmium, dissolved; Cadmium, dissolved, standard deviation; calculated, 1 sigma; Cobalt, dissolved; Cobalt, dissolved, standard deviation; Copper, dissolved; Copper, dissolved, standard deviation; Cruise/expedition; CTD/Rosette, ultra clean; CTD-UC; Date/Time of event; DEPTH, water; Elevation of event; Event label; Fram Strait; GEOTRACES; Global marine biogeochemical cycles of trace elements and their isotopes; GN05; Greenland Sea; Inductively coupled plasma - mass spectrometry (ICP-MS); Iron, dissolved; Iron, dissolved, standard deviation; Latitude of event; Lead, dissolved; Lead, standard deviation; Longitude of event; Manganese, dissolved; Manganese, dissolved, standard deviation; micronutrients; Nickel, dissolved; Nickel, dissolved, standard deviation; North Greenland Sea; Polarstern; PS100; PS100/013-1; PS100/015-1; PS100/021-1; PS100/028-1; PS100/033-1; PS100/037-1; PS100/042-1; PS100/044-1; PS100/053-2; PS100/056-1; PS100/074-1; PS100/082-1; PS100/090-1; PS100/094-1; PS100/101-1; PS100/102-1; PS100/103-2; PS100/135-1; PS100/165-1; PS100/189-1; PS100/202-1; PS100/214-1; PS100/241-1; PS100/262-1; PS100/274-2; PS100/280-1; PS100/288-1; Quality flag; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); Standard deviation, relative; Station label; trace elements; trace metals; Zinc, dissolved; Zinc, dissolved, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 16511 data points
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  • 83
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    Unknown
    Morphological measurements of coccoliths from surface samples of R/V SONNE cruise SO95 (2023)
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    Publication Date: 2024-06-18
    Description: The dataset compiles morphological measurements of coccoliths (Gephyrocapsa spp.) from one sample from the Western Equatorial Pacific. The morphological measurements were applied to evaluate coccolithophore preservation aspects under different dissolution intensities in a laboratory experiment. For the dissolution experiment, we added different amounts of Calgon solution (0, 0.4, 0.8, 2, 4, and 6 ml) in subsamples prepared from one sediment sample (ODP 807A-2H2W57-59 cm). The length, volume, area, and mass were obtained using the C-Calcita software from images taken under a cross-polarized microscope (Zeiss AX10). Thickness and the shape factor ks were calculated. The columns include the sample name, how much Calgon was added into sediment suspension, the number of coccoliths measured per sample, length, mean ks shape factor and standard deviation of mean ks/mean ks.
    Keywords: Calculated after Gerotto et al. (2022); Calculated average/mean values; Coccoliths; Coccoliths, length; Coccoliths, mass; Coccoliths, shape factor; Coccoliths, shape factor, standard deviation; Coccoliths, thickness; Coccoliths, volume; dissolution experiment; Elevation of event; Emiliania huxleyi; Event label; Gephyrocapsa oceanica; Giant box corer; GIK17925-2; GIK17930-1; GIK17931-1; GIK17932-1; GIK17934-1; GIK17936-1; GIK17937-1; GIK17938-1; GIK17939-1; GIK17940-1; GIK17941-1; GIK17943-1; GIK17944-1; GIK17945-1; GIK17946-1; GIK17949-1; GIK17951-1; GIK17955-1; GIK17956-1; GIK17957-1; GIK17958-1; GIK17959-1; GIK17960-1; GIK17961-1; GIK17962-1; GIK17963-2; GIK17964-1; GIK17965-1; GKG; Latitude of event; Longitude of event; Method/Device of event; MONITOR MONSUN; morphological measurements; SO95; Sonne; South China Sea; Surface sediments
    Type: Dataset
    Format: text/tab-separated-values, 196 data points
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  • 84
    facet.materialart.
    Unknown
    Coccolith dissolution experiment from one sample of ODP Hole 130-807A (2023)
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    Publication Date: 2024-06-18
    Description: The dataset compiles morphological measurements of coccoliths (Gephyrocapsa spp. and Emiliania huxleyi, 〉2µm) from surface samples of the South China Sea retrieved along a depth gradient (629 – 3809 m) during the R/V Sonne cruises (SO-95). The morphological attributes (length, volume, thickness, and ks shape factor) from the Noelaerhabdaceae group (Emiliania huxleyi and Gephyrocapsa spp) were applied to evaluate coccolithophore calcification and preservation aspects. The length, volume, area, and mass were obtained using the C-Calcita software from images taken under a cross-polarized microscope (Zeiss AX10). Thickness and the shape factor ks were calculated. The columns include station names, Longitude, Latitude, Depth (m), number of coccoliths measured per sample, mean ks shape factor, thickness, length, volume, mass, and standard deviation of mean ks/mean ks.
    Keywords: 130-807A; Calculated after Gerotto et al. (2022); Calculated average/mean values; Coccoliths; Coccoliths, length; Coccoliths, shape factor; Coccoliths, shape factor, standard deviation; dissolution experiment; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Emiliania huxleyi; Gephyrocapsa oceanica; Joides Resolution; Leg130; morphological measurements; Sample code/label; South China Sea; Surface sediments; Treatment: solution; West equatorial Pacific Ocean
    Type: Dataset
    Format: text/tab-separated-values, 36 data points
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  • 85
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    Unknown
    Temperature records based on TEX86, TEX86OH, %OH, RI-OH, RI-OH', OHC from sediment core Co1010 (2024)
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    Publication Date: 2024-06-18
    Description: Here, we compile an extensive global surface sediment dataset of OH-isoGDGTs as well as regular isoprenoid GDGTs (isoGDGTs), with both data generated at NIOZ and previously published data from other laboratories. We explore recently developed temperature proxies based on hydroxylated isoprenoid Glycerol Dialkyl Glycerol Tetraethers (OH-isoGDGTs), such as %OH, RI-OH, RI-OH' and OHC for their potential for reconstructing past temperature changes. The data contains contains temperature records based on TEX86, TEX86OH, %OH, RI-OH, RI-OH', OHC from sediment core Co1010 which was retrived from the Prydez Bay. This dataset is related to the study 'Evaluating isoprenoidal hydroxylated GDGT-based temperature proxies in surface sediments from the global ocean'.
    Keywords: %OH; Acyclic glycerol dialkyl glycerol tetraether (peak area); AGE; ANT-XXIII/9; Branched and isoprenoid tetraether index; Calculated according to Fietz et al. (2016); Calculated according to Hopmans et al. (2004); De Jonge et al. (2015); Calculated according to Huguet et al. (2013); Calculated according to Lü et al. (2015); Calculated according to Schouten et al. (2002); Co1010; COMPCORE; Composite Core; Crenarchaeol (peak area); Crenarchaeol regio-isomer (peak area); DEPTH, sediment/rock; Dicyclic glycerol dialkyl glycerol tetraether (peak area); Extended tetraether index of 86 carbon atoms with OH-isoGDGTs; Filla Island, Rauer Group, Antarctica; GDGTs; Hydroxide; Hydroxylated acyclic glycerol dialkyl glycerol tetraether (peak area); Hydroxylated dicyclic glycerol dialkyl glycerol tetraether (peak area); hydroxylated GDGTs; Hydroxylated monocyclic glycerol dialkyl glycerol tetraether (peak area); Monocyclic glycerol dialkyl glycerol tetraether (peak area); NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University; OH-GDGTs; paleotemperature proxy; Polarstern; PS69; Ring index of hydroxylated tetraethers RI-OH; Ring index of hydroxylated tetraethers RI-OH'; RI-OH; Sample code/label; Sea surface temperature, annual mean; SST, from TEX86H (Kim et al., 2010); SST, from TEXH86, BAYSPAR (BAYesian SPAtially-varying Regression) (Tierney and Tingley, 2014, 2015); Surface sediments; Tetraether index of 86 carbon atoms; Tetraether index of 86 carbon atoms including OH-isoGDGT-0; TEX86; TEX86OH; Tricyclic glycerol dialkyl glycerol tetraether (peak area); Ultra high performance liquid chromatography mass spectrometer (UHPLC-MS)
    Type: Dataset
    Format: text/tab-separated-values, 1308 data points
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  • 86
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    Unknown
    The accurately digitized Dun Laoghaire Harbour marigram (sea level) records (1925-1931) (2024)
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    Publication Date: 2024-06-18
    Description: The case study of Dún Laoghaire Harbour in Ireland from 1925–1931 illustrates the challenges of accurately digitizing marigrams. The methodology involves digitizing the original marigram trace and the underlying grid at the nearest foot interval for each given hour to assess offsets. By subtracting the digitized foot interval from the known foot interval, differences are determined and then subtracted from each hourly trace value. This comparison between the original and adjusted data, where the upper and lower bounds were consistently aligned with the top line thickness during calibration, enhances the accuracy of final sea level data to the 10 mm level per year of data. The accompanying paper outlines the digitization and adjustment methodology, along with the compilation of key metadata. The attached metadata file in the dataset download explains the structure of the dataset, including its levels. The accurately digitized records from 1925 to 1931 can help us understand sea level changes over time.
    Keywords: Binary Object; Binary Object (File Size); Binary Object (Media Type); Dun_Laoghaire; File content; historical data; Ireland; sea level
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 87
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    Unknown
    Chemical ICP-AES data of archeological pottery, Wanna, Germany (2024)
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    Publication Date: 2024-06-18
    Description: This is the measurement data from chemical analysis of archaeological Neolithic pottery using Inductively Coupled Plasma- Atomic Emission Spectrometry (ICP-AES). The pottery came from the sites Wanna 1588, 1591, 1592 and 1594 (district of Cuxhaven, Lower Saxony, Germany) and belongs to the cultural group of the Funnel Beaker culture. The measurements are part of the research projects "Preserved in the bog - relics of prehistoric settlement landscapes in the Elbe-Weser triangle" funded by Niedersachsen Vorab and "Pottery traditions as a mirror of social structures of the 5th and 4th millennium BC in northern Central Europe" funded by the German Research Foundation (DFG project number 438036891). The measurements were carried out by OMAC Laboratories Ltd. in Loughrea, Galway, Ireland. A minimum of 0.5 g of sample material was taken from each sherd. The sample material was grinded to a fine powder and solved in a 4-acid solution. These solutions were injected into an excited argon plasma.
    Keywords: Aluminium; Archaeological excavation; Archaeological find number; Archaeological site number; Archaeology; archaeometry; Calcium; Cerium; chemical data; Chromium; Cobalt; Excavation_Wanna_1588; Excavation_Wanna_1591; Excavation_Wanna_1592; Excavation_Wanna_1594; Gallium; Inductively coupled plasma atomic emission spectroscope (ICP-AES); Lanthanum; Magnesium; Manganese; Pottery unit; Sodium; Strontium; Vanadium; Wanna, Cuxhaven, Lower Saxony, Germany
    Type: Dataset
    Format: text/tab-separated-values, 195 data points
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  • 88
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    Unknown
    Grain-distribution of surface sediments in the Argentine basin, R/V METEOR cruises M23-2, M29-2, M46-3 and M49-2 (2024)
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    Publication Date: 2024-06-18
    Description: The aim of this study is to better understand the oceanographic processes at the origin of contourite features. The samples were collected during four cruises onboard the R/V METEOR: M23-2 in 1993, M29-2 in 1994, M46-3 in 2000 and M49-2 in 2001. The measurements were performed to complement previous analyses and therefore, not all cores from these cruises have been measured. Grain size analyses were performed on bulk sediment samples with a Beckman Coulter Laser LS 13 320 at MARUM laboratories using Sodium hexametaphosphate as a dispersant.
    Keywords: 1; 12; 13; 15; 16; 2; 3; 4; 5; 6; 7; 8; Argentine Basin; Argentine Continental Margin; Argentine Continental Slope; Atlantic Ocean; Beckman Coulter Laser diffraction particle size analyzer LS 13 320; Brazil Basin; Center for Marine Environmental Sciences; contourite; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Elevation of event; Event label; GeoB2110-1; GeoB2110-3; GeoB2111-1; GeoB2111-2; GeoB2112-1; GeoB2112-3; GeoB2814-2; GeoB2814-3; GeoB2815-3; GeoB2830-2; GeoB6318-1; GeoB6319-1; GeoB6319-2; GeoB6321-2; GeoB6322-1; GeoB6322-2; GeoB6323-2; GeoB6324-2; GeoB6325-1; GeoB6327-1; GeoB6328-1; GeoB6329-1; GeoB6335-1; GeoB6335-2; GeoB6801-1; GeoB6802-1; GeoB6803-1; GeoB6804-1; GeoB6805-1; GeoB6806-1; GeoB6807-1; GeoB6808-1; GeoB6812-1; GeoB6813-1; GeoB6815-1; GeoB6816-1; grain size distribution; Gravity corer (Kiel type); Latitude of event; Longitude of event; M23/2; M29/2; M46/3; M49/2; MARUM; Meteor (1986); MUC; MultiCorer; Santos Plateau; Size fraction 0.044-0.04 µm; Size fraction 0.048-0.044 µm; Size fraction 0.053-0.048 µm; Size fraction 0.058-0.053 µm; Size fraction 0.064-0.058 µm; Size fraction 0.07-0.064 µm; Size fraction 0.077-0.07 µm; Size fraction 0.084-0.077 µm; Size fraction 0.093-0.084 µm; Size fraction 0.102-0.093 µm; Size fraction 0.112-0.102 µm; Size fraction 0.123-0.112 µm; Size fraction 0.134-0.123 µm; Size fraction 0.148-0.134 µm; Size fraction 0.162-0.148 µm; Size fraction 0.178-0.162 µm; Size fraction 0.195-0.178 µm; Size fraction 0.214-0.195 µm; Size fraction 0.235-0.214 µm; Size fraction 0.258-0.235 µm; Size fraction 0.284-0.258 µm; Size fraction 0.311-0.284 µm; Size fraction 0.342-0.311 µm; Size fraction 0.375-0.342 µm; Size fraction 0.412-0.375 µm; Size fraction 0.452-0.412 µm; Size fraction 0.496-0.452 µm; Size fraction 0.545-0.496 µm; Size fraction 0.598-0.545 µm; Size fraction 0.657-0.598 µm; Size fraction 0.721-0.657 µm; Size fraction 0.791-0.721 µm; Size fraction 0.869-0.791 µm; Size fraction 0.953-0.869 µm; Size fraction 1.047-0.954 µm; Size fraction 1.149-1.047 µm; Size fraction 1.261-1.149 µm; Size fraction 1.385-1.261 µm; Size fraction 1.520-1.385 µm; Size fraction 1.669-1.520 µm; Size fraction 1.832-1.669 µm; Size fraction 10.78-9.819 µm; Size fraction 101.1-92.1 µm; Size fraction 1041-948.3 µm; Size fraction 11.83-10.78 µm; Size fraction 111-101.1 µm; Size fraction 1143-1041 µm; Size fraction 12.99-11.83 µm; Size fraction 121.8-111 µm; Size fraction 1255-1143 µm; Size fraction 133.7-121.8 µm; Size fraction 1377-1255 µm; Size fraction 14.26-12.99 µm; Size fraction 146.8-133.7 µm; Size fraction 15.65-14.26 µm; Size fraction 1512-1377 µm; Size fraction 161.2-146.8 µm; Size fraction 1660-1512 µm; Size fraction 17.18-15.65 µm; Size fraction 176.9-161.2 µm; Size fraction 18.86-17.18 µm; Size fraction 1822-1660 µm; Size fraction 194.2-176.9 µm; Size fraction 2.000-1.822 mm; Size fraction 2.010-1.832 µm; Size fraction 2.208-2.011 µm; Size fraction 2.423-2.208 µm; Size fraction 2.66-2.423 µm; Size fraction 2.92-2.66 µm; Size fraction 20.70-18.86 µm; Size fraction 213.2-194.2 µm; Size fraction 22.73-20.70 µm; Size fraction 234.1-213.2 µm; Size fraction 24.95-22.73 µm; Size fraction 256.9-234.1 µm; Size fraction 27.38-24.95 µm; Size fraction 282.1-256.9 µm; Size fraction 3.206-2.920 µm; Size fraction 3.519-3.206 µm; Size fraction 3.862-3.519 µm; Size fraction 30.07-27.38 µm; Size fraction 309.6-282.1 µm; Size fraction 33.01-30.07 µm; Size fraction 339.9-309.6 µm; Size fraction 36.24-33.01 µm; Size fraction 373.1-339.9 µm; Size fraction 39.77-36.24 µm; Size fraction 4.241-3.862 µm; Size fraction 4.656-4.241 µm; Size fraction 409.6-373.1 µm; Size fraction 43.67-39.78 µm; Size fraction 449.7-409.6 µm; Size fraction 47.94-43.67 µm; Size fraction 493.6-449.7 µm; Size fraction 5.111-4.656 µm; Size fraction 5.611-5.111 µm; Size fraction 52.63-47.94 µm; Size fraction 541.9-493.6 µm; Size fraction 57.77-52.63 µm; Size fraction 594.9-541.9 µm; Size fraction 6.159-5.611 µm; Size fraction 6.761-6.159 µm; Size fraction 63.42-57.77 µm; Size fraction 653.0-594.9 µm; Size fraction 69.62-63.42 µm; Size fraction 7.421-6.761 µm; Size fraction 716.9-653.0 µm; Size fraction 76.43-69.62 µm; Size fraction 786.9-716.9 µm; Size fraction 8.148-7.422 µm; Size fraction 8.944-8.147 µm; Size fraction 83.90-76.43 µm; Size fraction 863.9-786.9 µm; Size fraction 9.819-8.944 µm; Size fraction 92.1-83.9 µm; Size fraction 948.2-863.9 µm; SL; Surface sediments
    Type: Dataset
    Format: text/tab-separated-values, 4248 data points
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  • 89
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    Unknown
    Seawater carbonate chemistry and total lipids, fatty acid comfposition, and enzyme activities of the tropical-subtropical starfish Aquilonastra yairi (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-18
    Description: This study investigates lipid-associated fatty acids (FAs) and enzyme activities involved in biomineralization of the tropical-subtropical starfish Aquilonastra yairi in response to projected near-future global change. The starfish were acclimatized to two temperature levels (27 °C, 32 °C) crossed with three pCO2 concentrations (455 μatm, 1052 μatm, 2066 μatm). This dataset is included in the OA-ICC data compilation maintained in the framework of the IAEA Ocean Acidification International Coordination Centre (see https://oa-icc.ipsl.fr). Original data were downloaded from the PANGAEA dataset (see Source). In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2024) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2024-05-20.
    Keywords: 11,14-Eicosadienoic acid, per dry mass; 4,7,10,13,16,19-Docosahexaenoic acid, per dry mass; 5,8,11,14,17-Eicosapentaenoic acid, per dry mass; 5,8,11,14-Eicosatetraenoic acid, per dry mass; 9,12,15-Octadecatrienoic acid, per dry mass; 9,12-Octadecadienoic acid, per dry mass; Alkalinity, total; Alkalinity, total, standard error; Animalia; Aquilonastra yairi; Aragonite saturation state; Aragonite saturation state, standard error; Benthic animals; Benthos; Bicarbonate ion; Bicarbonate ion, standard error; Calcite saturation state; Calcite saturation state, standard error; Calcium adenosine triphosphatase activity; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard error; Carbonate ion; Carbonate ion, standard error; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard error; cis-11-Eicosenoic acid, per dry mass; cis-11-Octadecenoic acid, per dry mass; cis-13-Docosenoic acid, per dry mass; cis-7-Hexadecenoic acid, per dry mass; cis-9-Octadecenoic acid, per dry mass; cis-9-Tetradecenoic acid, per dry mass; Containers and aquaria (20-1000 L or 〈 1 m**2); Docosanoic acid, per dry mass; Echinodermata; Eicosanoic acid, per dry mass; Extraction of Lipids after Bligh & Dyer (1959); Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gas chromatography - Mass spectrometry (GC-MS); Hexadecanoic acid, per dry mass; Individual ID; Laboratory experiment; Laboratory strains; Lipids, per dry mass; Magnesium adenosine triphosphatase activity; Multi-parameter portable meter, Xylem Analytics, WTW MultiLine® 3630 IDS; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Octadecanoic acid, per dry mass; Other metabolic rates; Other studied parameter or process; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Partial pressure of carbon dioxide (water) at sea surface temperature (wet air), standard error; pH; pH, standard error; Salinity; Salinity, standard error; Sample ID; Sampling date/time, experiment; Single species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Spectrophotometric; Spectrophotometry; Temperature; Temperature, water; Temperature, water, standard error; Tetracosanoic acid, per dry mass; Tetradecanoic acid, per dry mass; Treatment: partial pressure of carbon dioxide; Treatment: temperature; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 11483 data points
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  • 90
    facet.materialart.
    Unknown
    Spring 2018 time-series measurement of land-fast sea ice and sub-ice platelet layer thicknesses from electromagnetic induction soundings in McMurdo Sound, Antarctica (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-18
    Description: Ground-based electromagnetic induction (EM) time-series measurements of land-fast sea ice and sub-ice platelet layer thicknesses were carried out on land-fast sea ice in McMurdo Sound, Antarctica in winter (August 8 to 26 October) and late spring (November 4-18) of 2018. The EM data were acquired using a frequency-domain Geonics Ltd EM31-MK2 instrument mounted on the sea ice surface in winter and a sledge in late spring. The thicknesses of consolidated ice (sea ice plus the snow layer) and the sub-ice platelet layer were simultaneously retrieved from the EM31 measured response (i.e., Apparent Conductivity (AppCond) and Inphase (Inph)) using the forward modelling and inversion methods of Irvin (2018). Temporal variability in EM measured thicknesses detected the seasonal growth of land-fast sea ice and sub-ice platelet layer in winter, and shorter timescale variability related to strong offshore wind events in winter and the tides in late spring (Brett et al., 2024).
    Keywords: Antarctica; Antarctic sea ice; Conductivity, apparent; DATE/TIME; DEEP SOUTH NATIONAL SCIENCE CHALLENGE: Targeted observation and process-informed modelling of Antarctic sea ice; electromagnetic induction; GEM; Ground-based electromagnetic induction; ice-ocean interaction; ice thickness; In-phase component; McMurdoSound_2018spring; Sea ice thickness; Sub-ice platelet layer; Sub-ice platelet-layer thickness; Temperature, air; Temperature sensor, Campbell Scientific; TOPIMASI
    Type: Dataset
    Format: text/tab-separated-values, 1035 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 91
    facet.materialart.
    Unknown
    Winter 2018 time-series measurement of land-fast sea ice and sub-ice platelet layer thicknesses from electromagnetic induction soundings in McMurdo Sound, Antarctica (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-18
    Description: Ground-based electromagnetic induction (EM) time-series measurements of land-fast sea ice and sub-ice platelet layer thicknesses were carried out on land-fast sea ice in McMurdo Sound, Antarctica in winter (August 8 to 26 October) and late spring (November 4-18) of 2018. The EM data were acquired using a frequency-domain Geonics Ltd EM31-MK2 instrument mounted on the sea ice surface in winter and a sledge in late spring. The thicknesses of consolidated ice (sea ice plus the snow layer) and the sub-ice platelet layer were simultaneously retrieved from the EM31 measured response (i.e., Apparent Conductivity (AppCond) and Inphase (Inph)) using the forward modelling and inversion methods of Irvin (2018). Temporal variability in EM measured thicknesses detected the seasonal growth of land-fast sea ice and sub-ice platelet layer in winter, and shorter timescale variability related to strong offshore wind events in winter and the tides in late spring (Brett et al., 2024).
    Keywords: Antarctica; Antarctic sea ice; Conductivity, apparent; DATE/TIME; DEEP SOUTH NATIONAL SCIENCE CHALLENGE: Targeted observation and process-informed modelling of Antarctic sea ice; electromagnetic induction; GEM; Ground-based electromagnetic induction; ice-ocean interaction; ice thickness; In-phase component; McMurdoSound_2018winter; Sea ice thickness; Sub-ice platelet layer; Sub-ice platelet-layer thickness; Temperature, air; Temperature sensor, Campbell Scientific; TOPIMASI
    Type: Dataset
    Format: text/tab-separated-values, 6815 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 92
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    Unknown
    OHGDGT global surface sediment data (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-18
    Description: Here, we compile an extensive global surface sediment dataset of OH-isoGDGTs as well as regular isoprenoid GDGTs (isoGDGTs), with both data generated at NIOZ and previously published data from other laboratories. We explore recently developed temperature proxies based on hydroxylated isoprenoid Glycerol Dialkyl Glycerol Tetraethers (OH-isoGDGTs), such as %OH, RI-OH, RI-OH' and OHC for their potential for reconstructing past temperature changes. The data contains surface sediment data from the global ocean used in the study 'Evaluating isoprenoidal hydroxylated GDGT-based temperature proxies in surface sediments from the global ocean'. The excel sheet contains information regarding the surface sediments, their location, enivironmental parameters from each location extracted from WOA database, peak area of iso-GDGTs and OH-isoGDGTs, proxy indices discussed in the study and references for previously published data.
    Keywords: %OH; 1_MC4; 10_G2_S1; 11_MC4; 13M0-1_surface; 13M1a-2_surface; 2_MC7; 291; 293; 298; 313; 320; 3A_MC1; 4_MC6; 408_2.2; 418_12/3_0-1F; 418_12/3_0-1G; 418_2_0-1K; 418_2_0-1L; 418_2_ufs; 418_4_0-1H; 418_4_0-1I; 5_MC3; 55-14-2; 55-17-2; 55-18-2; 55-23-2; 55-25-2; 55-27-2; 55-30-2; 55-34-2; 55-36-2; 55-44-2; 55-46-2; 55-47-2; 6_MC2; 64PE275-30-2; 64PE275-3-10; 64PE275-6-1; 64PE275-9; 64PE275-9-1; 64PE320; 64PE409-41_BC; 64PE409-53_BC; 7_MC7; 8_MC1; 9_G3_S1; Acyclic glycerol dialkyl glycerol tetraether, fractional abundance; Acyclic glycerol dialkyl glycerol tetraether (peak area); Amazon Basin; Amazon Shelf; Amundsen Sea; Analytical method; Antarctic; ANT-XXIII/4; ANT-XXVI/2; ANT-XXXI/3; ANT-XXXII/3; ANT-XXXIII/2; Arabian Sea; Arctic; Arctic_01; Arctic_02; Arctic_03; Arctic_04; Arctic_05; Arctic_06; Arctic_07; Arctic_08; Arctic_09; Arctic_10; Arctic_11; Arctic_12; Arctic_13; Arctic_14; Arctic_15; Arctic_16; Arctic_17; Arctic_18; Arctic_19; Arctic_20; Arctic_21; Arctic_22; Arctic Ocean; Australia; Australia_S10; Australia_S5; Australia_S8; Baltic Sea; Baltimore canyon; Barents Sea; BC; Berau_10A; Berau_11A; Berau_11B; Berau_12A; Berau_12B; Berau_13B; Berau_15B; Berau_18A; Berau_1C; Berau_20A; Berau_21A; Berau_21B; Berau_22A; Berau_23B; Berau_23C; Berau_24A; Berau_25B; Berau_26B; Berau_27A; Berau_28A; Berau_29C; Berau_2A; Berau_2B; Berau_32A; Berau_33A; Berau_34A; Berau_36B; Berau_37C; Berau_38A; Berau_39B; Berau_3A; Berau_40A; Berau_41A; Berau_42A; Berau_43C; Berau_44A; Berau_4B; Berau_8A; Berau_8B; Berau Delta, Indonesia; Black Sea; Bottom grab (Smith-McIntyre); Box corer; Branched and isoprenoid tetraether index; Bransfield Strait; Brazil Basin; BS_01E-27; BS_02E-105; BS_04E-114; BS_05E-564; BS_07E-1288; BS_12; BS_13; BS_14; BS_15; BS_16; BS_17; BS_18; BS_19; BS_20; BS_22; BS_24; BS_25; BS_26; BS_27; BS_28; BS_29; BS_30; BS_303600; BS_31; BS_33; BS_34; BS_349190; BS_349200; BS_35; BS_37; BS_370520; BS_370531; BS_370540; BS_372720; BS_372820; BS_377830; BS_377850; BS_377860; BS_40; BS_41; BS_43; BS_44; BS_45; BS_46; BS_47; BS_49; BS_50; BS_51; BS_52; BS_54; BS_55; BS_56; BS_57; BS_59; BS_61; BS_63; BS_64; BS_65; BS_66; BS2_Arkona_basin; BS3; BS4_Gotland_deep; BS5_Gotland_deep; BS625; BS627; BS629; BS631; BS633; BS635; BS639; BS643; BS645; BS647; BS649; BS651; BS653; BS655; BS657; BS659; BS661; BS665; BS667; BS669; BS671; BS673; BS675; BS677; BS679; BS681; BS690; BS692; BY31; BY310; BY5_Bornholm; Calculated according to Fietz et al. (2016); Calculated according to Hopmans et al. (2004); De Jonge et al. (2015); Calculated according to Huguet et al. (2013); Calculated according to Lü et al. (2015); Calculated according to Schouten et al. (2002); Cariaco_Basin; Cariaco Basin; CB2_MC19; Central_South_Atlantic; Central South Atlantic; Chilean_margin; Chilean margin; CL03-35_BC; Crenarchaeol, fractional abundance; Crenarchaeol (peak area); Crenarchaeol regio-isomer, fractional abundance; Crenarchaeol regio-isomer (peak area); Delta du Rhone; DEPTH, water; Dicyclic glycerol dialkyl glycerol tetraether, fractional abundance; Dicyclic glycerol dialkyl glycerol tetraether (peak area); DNT05-22; Dougo_1; Dougo_2; Dougo_3; Dougo_4; Dougo_5; Dougo_6; Dougo_7; Drake Passage; East_China_Sea_01; East_China_Sea_02; East_China_Sea_03; East_China_Sea_04; East_China_Sea_05; East_China_Sea_06; East_China_Sea_07; East_China_Sea_08; East_China_Sea_09; East_China_Sea_10; East_China_Sea_11; East_China_Sea_12; East_China_Sea_13; East_China_Sea_14; East_China_Sea_15; East_China_Sea_16; East_China_Sea_17; East_China_Sea_18; East_China_Sea_19; East_China_Sea_20; East China Sea; Eastern_South_Atlantic; Eastern South Atlantic; Elisabeth Mann Borgese; EMB046; EMB046-10; EMB046-20; Equatorial_Atlantic_1; Equatorial_Atlantic_2; Equatorial_Atlantic_3; Equatorial_Pacific; Equatorial Atlantic; Equatorial Pacific; Estremadura_1; Estremadura_2; Estremadura_3; Estremadura_4; Estremadura_5; Estremadura_6; Estremadura_7; Estremadura_8; Event label; Extended tetraether index of 86 carbon atoms with OH-isoGDGTs; extracted from the World Ocean Atlas 2018 (WOA18); G2-85_7; G2-85_pist; G2-9_box; G2-9_trp; GBG; GC; GDGTs; GeoB10034-3; GeoB2105-3; GeoB2107-5; GeoB2110-1; GeoB2112-1; GeoB2124-1; GeoB2125-2; GeoB2130-1; GeoB2201-1; GeoB2202-5; GeoB2205-4; GeoB2206-1; GeoB2207-2; GeoB2215-8; GeoB2701-4; GeoB2703-7; GeoB2706-6; GeoB2708-5; GeoB2715-1; GeoB2727-1; GeoB2734-2; GeoB2802-2; GeoB2803-1; GeoB2805-1; GeoB2811-1; GeoB2812-3; GeoB2817-3; GeoB2819-2; GeoB2820-1; GeoB2821-2; GeoB2825-3; GeoB2826-1; GeoB2829-3; GeoB2830-1; GeoB6402-9; GeoB6404-3; GeoB6405-8; GeoB6406-1; GeoB6409-2; GeoB6414-1; GeoB6418-3; GeoB6420-2; GeoB6421-1; GeoB6422-5; GeoB6424-2; GeoB6426-2; GeoB6427-1; GeoB6428-3; GeoB6429-1; GeoB8301-5; GeoB8306-1; GeoB8307-5; GeoB8308-2; GeoB8310-1; GeoB8311-1; GeoB8313-1; GeoB8317-1; GeoB8319-1; GeoB8321-1; GeoB8322-1; GeoB8324-1; GeoB8325-1; GeoB8327-1; GeoB8328-1; GeoB8329-1; GeoB8332-3; GeoB8333-1; GeoB8338-1; GeoB8343-1; GeoB9506-3; GeoB9508-4; GeoB9513-5; GeoB9528-1; GeoB9535-5; Giant box corer; Giant box grab; GKG; Gravity corer; Gulf of Cádiz, Atlantic Ocean; Gulf of Mexico; Gulf of St. Lawrence; HB-5; HB-6; HCC_1_0-1A; HCC_1_0-1B; HCC_1_0-1C; HCC_10_0-1A; HCC_10_0-1B; HCC_10_0-1C; HCC_11_0-1C; HCC_12_0-1A; HCC_12_0-1B; HCC_12_0-1C; HCC_13_0-1A; HCC_13_0-1B; HCC_13_0-1C; HCC_14_0-1A; HCC_14_0-1B; HCC_14_0-1C; HCC_16_0-1A; HCC_16_0-1B; HCC_16_0-1C; HCC_17_0-1A; HCC_17_0-1B; HCC_20_0-1A; HCC_20_0-1B; HCC_20_0-1C; HCC_21_0-1A; HCC_21_0-1B; HCC_21_0-1C; HCC_22_0-1A; HCC_22_0-1B; HCC_22_0-1C; HCC_23_0-1A; HCC_23_0-1B; HCC_23_0-1C; HCC_3_0-1A; HCC_3_0-1B; HCC_3_0-1C; HCC_5_0-1A; HCC_5_0-1B; HCC_5_0-1C; HCC_7_0-1A; HCC_7_0-1B; HCC_7_0-1C; HCC_8_0-1A; HCC_8_0-1B; HCC_8_0-1C; HCC_9_0-1A; HCC_9_0-1B; HCC_9_0-1C; HON02-015; Hudson Bay; Hydroxide; Hydroxylated acyclic glycerol dialkyl glycerol tetraether, fractional abundance; Hydroxylated acyclic glycerol dialkyl glycerol tetraether (peak area); Hydroxylated dicyclic glycerol dialkyl glycerol tetraether, fractional abundance; Hydroxylated dicyclic glycerol dialkyl glycerol tetraether (peak area); hydroxylated GDGTs; Hydroxylated monocyclic glycerol dialkyl glycerol tetraether, fractional abundance; Hydroxylated monocyclic glycerol dialkyl glycerol tetraether (peak area); Iberian margin; Indian_Ocean_1; Indian_Ocean_2; Indian Ocean; Kara Sea; KNR_BC_14; KNR_BC_24; KNR_BC_3; KNR_BC_44; KNR_BC_50; KNR_BC_55; KNR_BC_61; KNR_BC_66; KNR_BC_69; KNR_BC_71; KNR_BC_80; KNR_BC_90; KNR_BC17; KNR_MC_28; KNR_MC_39; KS_SS1; KS_SS2; KS_SS4; KS_SS5; KS_SS6; KS_SS7; KS_SS8; KS_SS9; LA07/9; Laboratory; Lance; LATITUDE; LMG0404-16; Location; LOCO_2008_1-2; LOCO_2008_2-1; LOCO_2008_2-2; LOCO_2008_3-1; LOCO_2008_3-2; LOCO_2008_4-1; LOCO_2008_4-2; LOCO_2008_5-1; LOCO_2008_5-2; LOCO_2008_6-1; LOCO_2008_6-2; LONGITUDE; M1_surface; M2_surface; M2001-15_BC; M2003-08; M2003-18_BC; M2004-11_BC; M2005-14_BC; M23/2; M23/3; M29/1; M29/2; M3_surface; M4_surface; M46/4; M5_surface; M57/1; M65/1; M75/1b; Mediterranean; Mediterranean_1; Mediterranean_2; Mediterranean_3; Meteor (1986); Method comment; Mokbaai; Mondego_1; Mondego_2; Mondego_3; Mondego_4; Mondego_5; Monocyclic glycerol dialkyl glycerol tetraether, fractional abundance; Monocyclic glycerol dialkyl glycerol tetraether (peak area); Mozambique Channel; MUC; MultiCorer; Multicorer with television; Nathaniel B. Palmer; NBP0003-28; NBP0003-29; NBP0003-30; NBP0107-28; NBP0107-49; NBP0702; NBP0702-15; NBP0702-17; NBP0702-22; NBP0702-3; NBP9507-2; New_Zealand_01; New Zealand; NF2012-182_BC; NF2012-191_BC; NF2012-193_BC; NF2012-30_BC; NF2012-65_BC; NF2012-69_BC; NF2012-84_BC; NiCycle_III_S_1; NiCycle_III_S_2; NiCycle_III_S_3; NiCycle_III_S_4; NiCycle_III_S_5; NiCycle_III_S_6; NIOP_904; NIOP_906; NIOZ_UU; NIOZ89; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University; Norfolk Canyon; North_Pacific_1; North_Sea_1; North_Sea_10; North_Sea_11; North_Sea_3; North_Sea_4; North_Sea_42; North_Sea_48; North_Sea_5;
    Type: Dataset
    Format: text/tab-separated-values, 25177 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 93
    facet.materialart.
    Unknown
    Environmental settings at stations from Mingulay Reef Complex (MRC) (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-18
    Keywords: -; ATLAS; A Trans-Atlantic assessment and deep-water ecosystem-based spatial management plan for Europe; Bathymetric positioning index; Bottom water temperature; Climate change; continental shelf; coral reefs; Current speed; Deep sea; DEPTH, water; Habitat; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Macrofauna; Mingulay_Reef_Complex; MRC; MULT; Multiple investigations; North Atlantic Oscillation index; Reconstructed; Ruggedness; Salinity; Sample code/label; Scotland Sea; Slope; Station label; vulnerable marine ecosystems
    Type: Dataset
    Format: text/tab-separated-values, 1185 data points
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  • 94
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    Unknown
    Solid-phase manganese concentrations of surface sediments from sediment core SO268/2_106-1 (MUC-22) during SONNE cruise SO268/2, central Pacific (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-18
    Description: Surface sediments from the Clarion Clipperton Zone, central Pacific were analyzed for solid-phase Mn to assess potential Mn mobilization into the pore water from the solid phase during early diagenesis. Samples were taken during the SO268 cruise to the German and Belgian license areas for polymetallic nodule mining in the Clarion Clipperton Fracture Zone as part of the MiningImpact project. Sediment cores were collected with multicorers (MUC) and ROV push cores (PUC). Pore water was extracted by means of centrifugation prior to analyses of the sediments. Samples were freeze-dried and acid pressure digested using HF and HClO4. Manganese was then analyzed in the digestion solutions with an inductively coupled plasma optical emission spectrometer.
    Keywords: CCZ; Clarion-Clipperton Fraction Zone, North East Pacific Ocean; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; ICP-OES, SPECTRO Ciros Vision SOP; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; manganese; Manganese; Manganese, limit of quantification; MUC; MUC-22; MultiCorer; Pacific; Sample code/label; SO268/2; SO268/2_106-1; Sonne_2; Station label; Surface sediments
    Type: Dataset
    Format: text/tab-separated-values, 72 data points
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  • 95
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    Unknown
    Organic and inorganic geochemistry of surface sediments sampled during RV POLARSTERN cruise PS97 (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-18
    Keywords: ANT-XXXI/3; Bransfield Strait; Calcium carbonate; Carbon, organic, total; Carbon/Nitrogen ratio; Chlorophyll a, per unit mass total organic carbon; Chlorophyll a/phaeopigments ratio; Chlorophyll a per unit sediment mass; DEPTH, sediment/rock; diatoms; Diatoms, total valves, per unit sediment dry mass; Drake Passage; Elevation of event; Event label; GBG; GC; Giant box corer; Giant box grab; GKG; Gravity corer; Latitude of event; Longitude of event; MUC; MultiCorer; Nitrogen, total; Opal, biogenic silica; organic carbon; Phaeopigments, per unit mass total organic carbon; Phaeopigments per unit sediment mass; Photosynthetic pigments; Pigments, per unit mass total organic carbon; Pigments per unit sediment mass; Polarstern; PS97; PS97/015-2; PS97/020-1; PS97/021-1; PS97/022-1; PS97/024-2; PS97/027-1; PS97/042-1; PS97/044-1; PS97/045-1; PS97/046-6; PS97/048-1; PS97/049-2; PS97/052-3; PS97/053-1; PS97/054-2; PS97/055-2; PS97/056-1; PS97/059-1; PS97/060-1; PS97/061-1; PS97/062-1; PS97/065-2; PS97/067-2; PS97/068-2; PS97/069-1; PS97/071-2; PS97/072-2; PS97/073-2; PS97/074-1; PS97/077-1; PS97/079-1; PS97/080-2; PS97/083-1; PS97/084-2; PS97/085-2; PS97/086-2; PS97/089-2; PS97/093-3; PS97/094-1; PS97/095-1; PS97/096-1; PS97/097-1; PS97/114-1; PS97/122-2; PS97/128-1; PS97/129-2; PS97/131-1; PS97/132-2; PS97/134-1; PS97/135-1; PS97/139-1; Scotia Sea; Siliciclastics; South Pacific Ocean; sterols; Sterols, per unit mass total organic carbon; Sterols per unit sediment mass; Surface sediments; δ13C, organic carbon; δ15N
    Type: Dataset
    Format: text/tab-separated-values, 665 data points
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  • 96
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    Unknown
    Lipid biomarker concentrations, nutrients, Chl a, SST and salinity of the surface water in the eastern China marginal seas (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-18
    Keywords: 24-Methylcholesta-5,22E-dien-3beta-ol; 4alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-ol; Alkenone, C37; Alkenones; Biomarkers; Chlorophyll a; Continuous flow analyzer; DATE/TIME; Depth, bottom/max; Depth, top/min; DEPTH, water; Eastern China Marginal Seas; ECMS_water_201006; ECMS_water_201106; ECMS_water_201107; ECMS_water_201307; ECMS_water_201408; ECMS_water_201508; ELEVATION; Event label; In situ CTD instrument; LATITUDE; LONGITUDE; marginal seas; Nitrogen, inorganic, dissolved; Phosphorus, inorganic, dissolved; Reference/source; Sea surface salinity; Sea surface temperature; see description in data abstract; Silicate; Station label; sterol; Sum Brassicasterol, Dinosterol and C37 alkenones; Surface sediments; surface water; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 3968 data points
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  • 97
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    Unknown
    The lipid biomarker contents and TOC data of the surface sediments in the eastern China marginal seas (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-18
    Keywords: 24-Methylcholesta-5,22E-dien-3beta-ol; 4alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-ol; Alkenone, C37; Alkenones; Biomarkers; Box corer/grab; Carbon, organic, total; DATE/TIME; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Eastern China Marginal Seas; ECMS_sediment_200604_08; ECMS_sediment_200808; ECMS_sediment_200812; ECMS_sediment_201006; ECMS_sediment_201106_1; ECMS_sediment_201106_2; ECMS_sediment_201108; ECMS_sediment_201204; ELEVATION; Event label; LATITUDE; LONGITUDE; marginal seas; n-Alkane C27+C29+C31; Reference/source; see description in data abstract; Station label; sterol; Sum Brassicasterol, Dinosterol and C37 alkenones; Surface sediments; surface water
    Type: Dataset
    Format: text/tab-separated-values, 2526 data points
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  • 98
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    Unknown
    Diatoms in surface sediments sampled during RV POLARSTERN cruise PS97 (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-18
    Keywords: Actinocyclus actinochilus; Actinocyclus curvatulus; Alveus marinus; ANT-XXXI/3; Asteromphalus hookeri; Asteromphalus parvulus; Azpeitia tabularis; Bransfield Strait; Chaetoceros spp. spores; Chaetoceros spp. vegetative cells; Corethron pennatum; Coscinodiscus spp.; Cyclotella litoralis; DEPTH, sediment/rock; diatoms; Diatoms, total valves, per unit sediment dry mass; Drake Passage; Elevation of event; Eucampia antarctica, spores; Event label; Fragilariopsis curta; Fragilariopsis cylindrus; Fragilariopsis doliolus; Fragilariopsis kerguelensis; Fragilariopsis obliquecostata; Fragilariopsis rhombica; Fragilariopsis ritscheri; Fragilariopsis separanda; Fragilariopsis spp.; Fragilariopsis sublinearis; Fragilariopsis vanheurckii; Hemidiscus cuneiformis; Latitude of event; Longitude of event; MUC; MultiCorer; Navicula directa; Navicula spp.; Nitzschia bicapitata; Nitzschia lecointei; Nitzschia sicula var. bicuneata; Odontella weissflogii; organic carbon; Photosynthetic pigments; Polarstern; Porosira pseudodenticulata; Proboscia alata; PS97; PS97/015-2; PS97/024-2; PS97/042-1; PS97/046-6; PS97/048-1; PS97/049-2; PS97/052-3; PS97/053-1; PS97/054-2; PS97/055-2; PS97/056-1; PS97/068-2; PS97/069-1; PS97/071-2; PS97/072-2; PS97/073-2; PS97/074-1; PS97/077-1; PS97/079-1; PS97/080-2; PS97/089-2; PS97/093-3; PS97/094-1; PS97/114-1; Pseudo-nitzschia heimii; Pseudo-nitzschia lineola-turgiduloides group; Rhizosolenia antennata; Rhizosolenia antennata forma semispina; Rhizosolenia sp.; Rhizosolenia spp.; Roperia tesselata; Scotia Sea; South Pacific Ocean; Stellarima microtrias; Stephanopyxis sp.; sterols; Surface sediments; Thalassionema nitzschioides; Thalassionema nitzschioides group; Thalassiosira antarctica; Thalassiosira gracilis group; Thalassiosira lentiginosa; Thalassiosira lineata; Thalassiosira oestrupii; Thalassiosira oliverana; Thalassiosira sp.; Thalassiosira spp.; Thalassiosira trifulta; Thalassiothrix antarctica
    Type: Dataset
    Format: text/tab-separated-values, 1296 data points
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  • 99
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    Unknown
    Sterols in surface sediments sampled during RV POLARSTERN cruise PS97 (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-18
    Keywords: (24S)-Ethylcholest-5,22E-dien-3beta-ol, per unit mass total organic carbon; (24S)-Ethylcholest-5,22E-dien-3beta-ol per unit sediment mass; 10,13-dimethyl-17-[2-(2-ethylcyclopropyl)ethan-2-yl]-cyclopenta-phenanthren-5-ene, per unit mass total organic carbon; 10,13-dimethyl-17-[2-(2-ethylcyclopropyl)ethan-2-yl]-cyclopenta-phenanthren-5-ene per unit sediment mass; 24-ethylcholest-5-en-3beta-ol, per unit mass total organic carbon; 24-Ethylcholest-5-en-3beta-ol per unit sediment mass; 24-Methylcholest-5-en-3beta-ol, per unit mass total organic carbon; 24-Methylcholest-5-en-3beta-ol per unit sediment mass; 24-Methylcholesta-5,22E-dien-3beta-ol, per unit mass total organic carbon; 24-Methylcholesta-5,22E-dien-3beta-ol per unit sediment mass; 24-Methylcholesta-5,24(28)-dien-3beta-ol, per unit mass total organic carbon; 24-Methylcholesta-5,24(28)-dien-3beta-ol per unit sediment mass; 24-Nor-5a-cholest-22-en-3beta-ol, per unit mass total organic carbon; 24-Nor-5a-cholest-22-en-3beta-ol per unit sediment mass; 4alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-ol, per unit mass total organic carbon; 4alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-ol per unit sediment mass; 5alpha-Cholestan-3beta-ol, per unit mass total organic carbon; 5alpha-Cholestan-3beta-ol per unit sediment mass; ANT-XXXI/3; Bransfield Strait; cholest-4-en-3-one, per unit mass total organic carbon; cholest-4-en-3-one per unit sediment mass; cholesta-5,24-dien-3beta-ol, per unit mass total organic carbon; cholesta-5,24-dien-3beta-ol per unit sediment mass; Cholesta-5-en-3beta-ol, per unit mass total organic carbon; Cholesta-5-en-3beta-ol per unit sediment mass; DEPTH, sediment/rock; diatoms; Drake Passage; Elevation of event; Event label; GBG; GC; Giant box corer; Giant box grab; GKG; Gravity corer; Latitude of event; Longitude of event; MUC; MultiCorer; organic carbon; Photosynthetic pigments; Polarstern; PS97; PS97/015-2; PS97/020-1; PS97/021-1; PS97/022-1; PS97/024-2; PS97/027-1; PS97/042-1; PS97/044-1; PS97/045-1; PS97/046-6; PS97/048-1; PS97/049-2; PS97/052-3; PS97/053-1; PS97/054-2; PS97/055-2; PS97/056-1; PS97/059-1; PS97/060-1; PS97/061-1; PS97/062-1; PS97/065-2; PS97/067-2; PS97/068-2; PS97/069-1; PS97/071-2; PS97/072-2; PS97/074-1; PS97/077-1; PS97/079-1; PS97/080-2; PS97/083-1; PS97/084-2; PS97/085-2; PS97/086-2; PS97/089-2; PS97/093-3; PS97/094-1; PS97/095-1; PS97/096-1; PS97/114-1; PS97/122-2; PS97/128-1; PS97/129-2; PS97/131-1; PS97/134-1; Scotia Sea; South Pacific Ocean; sterols; stigmasta-5,24(28)-dien-3-ol, per unit mass total organic carbon; stigmasta-5,24(28)-dien-3-ol per unit sediment mass; Surface sediments
    Type: Dataset
    Format: text/tab-separated-values, 850 data points
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  • 100
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    Unknown
    Stable carbon isotope data in surface sediments in the eastern China marginal seas (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-18
    Keywords: Alkenones; Biomarkers; DATE/TIME; Eastern China Marginal Seas; ECMS_sediment_d13C_200808; ECMS_sediment_d13C_200812; ECMS_sediment_d13C_201106; ECMS_sediment_d13C_201110; ECMS_sediment_d13C_201205; Elementar IsoPrime 100 isotope ratio mass spectrometer; Event label; LATITUDE; LONGITUDE; marginal seas; Reference/source; Station label; sterol; Surface sediments; surface water; Thermo Delta V mass spectrometer; Thermo Delta V mass spectrometer and Elementar IsoPrime 100 isotope ratio mass spectrometer; δ13C, total organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 807 data points
    Location Call Number Expected Availability
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