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  • 1
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    Literature synthesis data of surface energy fluxes and environmental drivers from Arctic vegetation and glacier sites (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Despite the importance of surface energy budgets (SEBs) for land-climate interactions in the Arctic, uncertainties in their prediction persist. In situ observational data of SEB components - useful for research and model validation - are collected at relatively few sites across the terrestrial Arctic, and not all available datasets are readily interoperable. Furthermore, the terrestrial Arctic consists of a diversity of vegetation types, which are generally not well represented in land surface schemes of current Earth system models. This dataset describes the data generated in a literature synthesis, covering 358 study sites on vegetation or glacier (〉=60°N latitude), which contained surface energy budget observations. The literature synthesis comprised 148 publications searched on the ISI Web of Science Core Collection.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 2
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    Effects of a brackish water inflow on peat pore water variables and methane-cycling microbial community abundances in a freshwater rewetted coastal fen. (2022)
    PANGAEA
    Details
    Publication Date: 2023-02-09
    Description: The rewetting of peatlands is a promising measure to mitigate greenhouse gas (GHG) emissions by preventing the further mineralization of the peat soil through aeration. In coastal peatland, the rewetting with brackish water can increase the GHG mitigation potential by the introduction of sulfate, a terminal electron acceptor (TEA). Sulfate is known to lower the CH4 production and thus, its emission by favoring the growth of sulfate-reducers, which outcompete methanogens for substrate. The data contain porewater variables such as pH, electrical conductivity (EC) and sulfate, chloride, dissolved CO2 and CH4 concentrations, as well as absolute abundances of methane- and sulfate-cycling microbial communities. The data were collected in spring and autumn 2019 after a storm surge with brackish water inflow in January 2019. Field sampling was conducted in the nature reserve Heiligensee and Hütelmoor in North-East Germany, close to the Southern Baltic Sea coast. We took peat cores using a Russian peat corer in addition to pore water diffusion samplers and plastic liners (length: 60cm; inner diameter 10 cm) at four locations along a transect from further inland towards the Baltic Sea. We wanted to compare the soil and pore water geochemistry as well as the microbial communities after the brackish water inflow to the common freshwater rewetting state. Pore water was extracted using pore water suction samplers in the lab and environmental variables were quantified with an ICP. Microbial samples were sampled from the peat core using sterile equipment. We used quantitative polymerase chain reaction (qPCR) to characterize pools of DNA and cDNA targeting total and putatively active bacteria and archaea. qPCR was performed on key functional genes of methane production (mcrA), aerobic methane oxidation (pmoA) and sulfate reduction (dsrB) in addition to the 16S rRNA gene for the absolute abundance of total prokaryotes. Furthermore, we retrieved soil plugs to determine the concentrations and isotopic signatures of dissolved trace gases (CO2/DIC and CH4) in the pore water.
    Language: English
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  • 3
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    Varve thickness of lateglacial ICDP core 5017-1-A-44 (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: This dataset provides annually resolved microfacies data from ICDP core 5017-1-A, retrieved from the deep northern Dead Sea basin in 2010/11, for the last glacial-interglacial transition (ca. 14-13 ka BP). Sediments of the Lisan Formation were investigated between ~94.7 and 91.8 m sediment depth below lake floor (lithozone C2) by continuous thin section microscopy. Thin sections were prepared following the standard procedure by Brauer and Casanova (2001) that was adjusted for salty sediments. Thin section analyses were performed on overlapping large-scale thin sections using a Zeiss Axiolab pol microscope at magnifications of 50-400x. Microfacies analyses included varve counting and measurements of varve and sublayer thickness. The amount of varves in erosional gaps was interpolated and the position of mass flow deposits (MFD) is marked.
    Language: English
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  • 4
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    Physical properties of sea ice cores from L sites measured on leg 1 of the MOSAiC expedition (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: We present sea ice temperature and salinity data from first-year ice (FYI) and second-year ice (SYI) relevant to the temporal development of sea ice permeability and brine drainage efficiency from the early growth phase in October 2019 to the onset of spring warming in May 2020. Our dataset was collected in the central Arctic Ocean during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Expedition in 2019 to 2020. MOSAiC was an international transpolar drift expedition in which the German icebreaker RV Polarstern anchored into an ice floe to gain new insights into Arctic climate over a full annual cycle. In October 2019, RV Polarstern moored to an ice floe in the Siberian sector of the Arctic at 85 degrees north and 137 degrees east to begin the drift towards the North Pole and the Fram Strait via the Transpolar Drift Stream. The data presented here were collected during the first three legs of the expedition, so all the coring activities took place on the same floe. The end dates of legs 1, 2, and 3 were 13 December, 24 February, and 4 June, respectively. The dataset contributed to a baseline study entitled, Deciphering the properties of different Arctic ice types during the growth phase of the MOSAiC floes: Implications for future studies. The study highlights downward directed gas pathways in FYI and SYI by inferring sea ice permeability and potential brine release from several time series of temperature and salinity measurements. The physical properties presented in this paper lay the foundation for subsequent analyses on actual gas contents measured in the ice cores, as well as air-ice and ice-ocean gas fluxes. Sea ice cores were collected with a Kovacs Mark II 9 cm diameter corer. To measure ice temperatures, about 4.5 cm deep holes were drilled into the core (intervals varied by site and leg) . The temperatures were measured by a digital thermometer within minutes after the cores were retrieved. The ice cores were placed into pre-labelled plastic sleeves sealed at the bottom end. The ice cores were transported to RV Polarstern and stored in a -20 degrees Celsius freezer. Each of the cores was sub-sampled, melted at room temperature, and processed for salinity within one or two days. The practical salinity was estimated by measuring the electrical conductivity and temperature of the melted samples using a WTW Cond 3151 salinometer equipped with a Tetra-Con 325 four-electrode conductivity cell. The practical salinity represents the the salinity estimated from the electrical conductivity of the solution. The dataset also contains derived variables, including sea ice density, brine volume fraction, and the Rayleigh number.
    Language: English
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  • 5
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    n-Fatty acid composition per sediment mass in a rapidly eroding permafrost cliff (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Organic carbon (OC) stored in Arctic permafrost represents one of Earth’s largest and most vulnerable terrestrial carbon pools. Amplified climate warming across the Arctic results in widespread permafrost thaw. Permafrost deposits exposed at river cliffs and coasts are particularly susceptible to thawing processes. Accelerating erosion of terrestrial permafrost along shorelines leads to increased transfer of organic matter (OM) to nearshore waters. However, the amount of terrestrial permafrost carbon and nitrogen as well as the OM quality in these deposits are still poorly quantified. Here, we characterise the sources and the quality of OM supplied to the Lena River at a rapidly eroding permafrost river shoreline cliff in the eastern part of the delta (Sobo-Sise Island). Our multi-proxy approach captures bulk elemental, molecular geochemical and carbon isotopic analyses of late Pleistocene Yedoma permafrost and Holocene cover deposits, discontinuously spanning the last ~52 ka. We show that the ancient permafrost exposed in the Sobo-Sise cliff has a high organic carbon content (mean of about 5 wt%).We found that the OM quality, which we define as the intrinsic potential to further transformation, decomposition, and mineralization, is also high as inferred by the lipid biomarker inventory. The oldest sediments stem from Marine Isotope Stage (MIS) 3 interstadial deposits (dated to 52 to 28 cal kyr BP) and is overlaid by Last Glacial MIS 2 (dated to 28 to 15 cal ka BP) and Holocene MIS 1 (dated to 7–0 cal ka BP) deposits. The relatively high average chain length (ACL) index of n-alkanes along the cliff profile indicates a predominant contribution of vascular plants to the OM composition. The elevated ratio of iso and anteiso-branched FAs relative to long chain (C ≥ 20) n-FAs in the interstadial MIS 3 and the interglacial MIS 1 deposits, suggests stronger microbial activity and consequently higher input of bacterial biomass during these climatically warmer periods. The overall high carbon preference index (CPI) and higher plant fatty acid (HPFA) values as well as high C / N ratios point to a good quality of the preserved OM and thus to a high potential of the OM for decomposition upon thaw. A decrease of HPFA values downwards along the profile probably indicates a relatively stronger OM decomposition in the oldest (MIS 3) deposits of the cliff.
    Language: English
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  • 6
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    Physical properties of sea ice cores from site MCS_FYI measured on legs 1 to 3 of the MOSAiC expedition (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: We present sea ice temperature and salinity data from first-year ice (FYI) and second-year ice (SYI) relevant to the temporal development of sea ice permeability and brine drainage efficiency from the early growth phase in October 2019 to the onset of spring warming in May 2020. Our dataset was collected in the central Arctic Ocean during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Expedition in 2019 to 2020. MOSAiC was an international transpolar drift expedition in which the German icebreaker RV Polarstern anchored into an ice floe to gain new insights into Arctic climate over a full annual cycle. In October 2019, RV Polarstern moored to an ice floe in the Siberian sector of the Arctic at 85 degrees north and 137 degrees east to begin the drift towards the North Pole and the Fram Strait via the Transpolar Drift Stream. The data presented here were collected during the first three legs of the expedition, so all the coring activities took place on the same floe. The end dates of legs 1, 2, and 3 were 13 December, 24 February, and 4 June, respectively. The dataset contributed to a baseline study entitled, Deciphering the properties of different Arctic ice types during the growth phase of the MOSAiC floes: Implications for future studies. The study highlights downward directed gas pathways in FYI and SYI by inferring sea ice permeability and potential brine release from several time series of temperature and salinity measurements. The physical properties presented in this paper lay the foundation for subsequent analyses on actual gas contents measured in the ice cores, as well as air-ice and ice-ocean gas fluxes. Sea ice cores were collected with a Kovacs Mark II 9 cm diameter corer. To measure ice temperatures, about 4.5 cm deep holes were drilled into the core (intervals varied by site and leg) . The temperatures were measured by a digital thermometer within minutes after the cores were retrieved. The ice cores were placed into pre-labelled plastic sleeves sealed at the bottom end. The ice cores were transported to RV Polarstern and stored in a -20 degrees Celsius freezer. Each of the cores was sub-sampled, melted at room temperature, and processed for salinity within one or two days. The practical salinity was estimated by measuring the electrical conductivity and temperature of the melted samples using a WTW Cond 3151 salinometer equipped with a Tetra-Con 325 four-electrode conductivity cell. The practical salinity represents the the salinity estimated from the electrical conductivity of the solution. The dataset also contains derived variables, including sea ice density, brine volume fraction, and the Rayleigh number.
    Language: English
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  • 7
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    Alkane, fatty acid, total (organic) carbon and nitrogen distribution in ancient permafrost deposits at the Batagay Megaslump, East Siberia (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: These datasets describe sediment samples taken from the Batagay megaslump, located in Yana Uplands in northeastern Siberia. Most sediment samples were taken from the slump headwall (B19-P1) by rapelling down on a rope from the slump surface and taking samples with a hole saw (diameter 55 mm, 40 mm deep) mounted on a handheld power drill. A second profile (B19-02) of the lowest part of the slump headwall was sampled (~100 m south) using a hammer and axe from the slump floor. Two permafrost sediment blocks (B19-03 and B19-04) at the slump bottom that had fallen from the headwall were sampled using a chainsaw. Finally, a baidzherakh (thermokarst mound; B19-05) in the north of the slump was sampled using a hammer and axe. The samples cover 5 stratigraphical units: 1. lower ice complex, 2. lower sand unit, 3. woody layer, 4. upper ice complex, 5. Holocene cover.
    Language: English
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  • 8
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    n-Fatty acid composition per total organic carbon in a rapidly eroding permafrost cliff (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Organic carbon (OC) stored in Arctic permafrost represents one of Earth’s largest and most vulnerable terrestrial carbon pools. Amplified climate warming across the Arctic results in widespread permafrost thaw. Permafrost deposits exposed at river cliffs and coasts are particularly susceptible to thawing processes. Accelerating erosion of terrestrial permafrost along shorelines leads to increased transfer of organic matter (OM) to nearshore waters. However, the amount of terrestrial permafrost carbon and nitrogen as well as the OM quality in these deposits are still poorly quantified. Here, we characterise the sources and the quality of OM supplied to the Lena River at a rapidly eroding permafrost river shoreline cliff in the eastern part of the delta (Sobo-Sise Island). Our multi-proxy approach captures bulk elemental, molecular geochemical and carbon isotopic analyses of late Pleistocene Yedoma permafrost and Holocene cover deposits, discontinuously spanning the last ~52 ka. We show that the ancient permafrost exposed in the Sobo-Sise cliff has a high organic carbon content (mean of about 5 wt%).We found that the OM quality, which we define as the intrinsic potential to further transformation, decomposition, and mineralization, is also high as inferred by the lipid biomarker inventory. The oldest sediments stem from Marine Isotope Stage (MIS) 3 interstadial deposits (dated to 52 to 28 cal kyr BP) and is overlaid by Last Glacial MIS 2 (dated to 28 to 15 cal ka BP) and Holocene MIS 1 (dated to 7–0 cal ka BP) deposits. The relatively high average chain length (ACL) index of n-alkanes along the cliff profile indicates a predominant contribution of vascular plants to the OM composition. The elevated ratio of iso and anteiso-branched FAs relative to long chain (C ≥ 20) n-FAs in the interstadial MIS 3 and the interglacial MIS 1 deposits, suggests stronger microbial activity and consequently higher input of bacterial biomass during these climatically warmer periods. The overall high carbon preference index (CPI) and higher plant fatty acid (HPFA) values as well as high C / N ratios point to a good quality of the preserved OM and thus to a high potential of the OM for decomposition upon thaw. A decrease of HPFA values downwards along the profile probably indicates a relatively stronger OM decomposition in the oldest (MIS 3) deposits of the cliff.
    Language: English
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  • 9
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    Alkane distribution in ancient permafrost deposits at the Batagay Megaslump, East Siberia (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Language: English
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  • 10
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    Physical properties of sea ice cores from site MCS-SYI measured on legs 1 to 3 of the MOSAiC expedition (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: We present sea ice temperature and salinity data from first-year ice (FYI) and second-year ice (SYI) relevant to the temporal development of sea ice permeability and brine drainage efficiency from the early growth phase in October 2019 to the onset of spring warming in May 2020. Our dataset was collected in the central Arctic Ocean during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Expedition in 2019 to 2020. MOSAiC was an international transpolar drift expedition in which the German icebreaker RV Polarstern anchored into an ice floe to gain new insights into Arctic climate over a full annual cycle. In October 2019, RV Polarstern moored to an ice floe in the Siberian sector of the Arctic at 85 degrees north and 137 degrees east to begin the drift towards the North Pole and the Fram Strait via the Transpolar Drift Stream. The data presented here were collected during the first three legs of the expedition, so all the coring activities took place on the same floe. The end dates of legs 1, 2, and 3 were 13 December, 24 February, and 4 June, respectively. The dataset contributed to a baseline study entitled, Deciphering the properties of different Arctic ice types during the growth phase of the MOSAiC floes: Implications for future studies. The study highlights downward directed gas pathways in FYI and SYI by inferring sea ice permeability and potential brine release from several time series of temperature and salinity measurements. The physical properties presented in this paper lay the foundation for subsequent analyses on actual gas contents measured in the ice cores, as well as air-ice and ice-ocean gas fluxes. Sea ice cores were collected with a Kovacs Mark II 9 cm diameter corer. To measure ice temperatures, about 4.5 cm deep holes were drilled into the core (intervals varied by site and leg) . The temperatures were measured by a digital thermometer within minutes after the cores were retrieved. The ice cores were placed into pre-labelled plastic sleeves sealed at the bottom end. The ice cores were transported to RV Polarstern and stored in a -20 degrees Celsius freezer. Each of the cores was sub-sampled, melted at room temperature, and processed for salinity within one or two days. The practical salinity was estimated by measuring the electrical conductivity and temperature of the melted samples using a WTW Cond 3151 salinometer equipped with a Tetra-Con 325 four-electrode conductivity cell. The practical salinity represents the the salinity estimated from the electrical conductivity of the solution. The dataset also contains derived variables, including sea ice density, brine volume fraction, and the Rayleigh number.
    Language: English
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  • 11
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    Rock and paleomagnetic data from two sediment cores from the Black Sea for the past 30 ka (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Rock magnetic and paleomagnetic results covering the past 30 ka were constructed from two sediment cores MSM33_856-1 (MSM33-55-1) and MSM33_855-1 (54-3) from the Black Sea. After the Mediterranean Sea water ingression, finely laminated organic-rich sapropelic sediments and coccolith oozes were deposited in the Black Sea since about 8.3 ka. Relict magnetic minerals in the Black Sea sarpoples are ferrous hemoilmenite, Fe-Mn and Fe-Cr spinels, and magnetite inclusions. In sediments deposited between about 14 and 8 ka, greigite and pyrite were formed in sediments because of the seawater penetration from overlying sediments after the seawater ingression. Before ~14 ka, the Black Sea sediments are dominated by detrital (titano-)magnetite minerals and the sporadically formed greigite which has SIRM/kLF ratios 〉 10 kAm-2. By comparison with detrital (titano-)magnetite samples between 20-30 ka, we found that relict magnetic mineral samples between 0-8.3 ka have similar behavior in recording the geomagnetic field. Moreover, the geomagnetic field variations reconstructed from the Black Sea sapropels are comparable with other validated regional datasets for the past 8.3 ka. The natural remanent magnetization (NRM) and the anhysteretic remanent magnetization (ARM) were measured with a 2G Enterprises 755 SRM (cryogenic) long-core magnetometer equipped with a sample holder for eight discrete samples at a separation of 20 cm. The magnetometer's in-line tri-axial alternating field (AF) demagnetizer was used to demagnetize the NRM and ARM of the samples. The NRM was measured after application of AF peak amplitudes of 0, 5, 10, 15, 20, 30, 40, 50, 65, 80, and 100 mT. Directions of the characteristic remanent magnetization (ChRM) were determined by principle component analysis (PCA) according to Kirschvink (1980). The error range of the ChRM is given as the maximum angular deviation (MAD). The ARM was imparted along the samples' z-axis with a static field of 0.05 mT and an AF field of 100 mT. Demagnetization then was performed in steps of 0, 10, 20, 30, 40, 50, 65, and 80 mT. The median destructive field of the ARM (MDFARM) was determined to estimate the coercivity of the sediments. The slope of NRM versus ARM of common demagnetization steps was used to determine the relative paleointensity (RPI). In most cases, demagnetization steps from 20 to 65 mT were used to determine the RPI.
    Language: English
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  • 12
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    TICON-td: Third-degree tidal constants based on GESLA sea-level records from globally distributed tide gauges (data) (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: This dataset provides data for four third-degree tidal constituents used in the publication of Sulzbach et al (2022). The tidal constituents provided are the 3M1, 3M3, 3N2 and 3L2 for 134 globally distributed stations. The tide information, such as the nodal modulations of these tides, are taken from Table 1 and Table S2 of Ray (2020). These tidal constants are estimated using the GESLA dataset (Woodworth et al 2014) following the approach presented in Piccioni et al (2019). This record is an add-on to the full TICON dataset (https://doi.org/10.1594/PANGAEA.896587), using exactly the same data format and pre-processing. These steps include using tide gauge data that contains at least ten years of continuous data. Further, the dataset is restricted to only contain open ocean tide gauges by limiting it to a mean surrounding depth of tide gauges to be deeper than 500 meters in a 2-degree radius and excluding stations not native to the ocean domain of the employed tidal model TiME. Duplicate and closely neighbouring tide gauges, found within a 0.2-degree radius, are also removed from the dataset. This resulted in the availability of the four tidal constants for 134 tide gauges. The results are stored in one tab-separated text/ASCII file with 13 columns: 1. Latitude of the tide gauge station 2. Longitude of the tide gauge station 3. Constituent name 4. Amplitude (in cm) 5. Phase (in degrees) 6. Standard deviation of the amplitude (in cm) 7. Standard deviation of the phase (in degrees) 8. Percentage of missing observations 9. Total number of observations analyzed 10. Length of the maximum temporal gap found in the time series in days 11. Date of the first observation 12. Date of the last observation 13. Code that corresponds to the original source of the record TICON is a useful and easy-to-handle data set for tide model validation and allows the users to select the records according to the different criteria most suitable for their purposes. The options span from the choice of a geographical region to the use of single constituents or time periods.
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  • 13
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    Total (organic) carbon and nitrogen content in ancient permafrost deposits at the Batagay Megaslump, East Siberia (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
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  • 14
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    Rock and paleomagnetic results of sediment core MSM33\_856-1 over the past 30 ka (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
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  • 15
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    Microfacies data and age model from the International Continental Scientific Drilling Program (ICDP) Dead Sea core and the Masada outcrop (southwestern shore of the Dead Sea) (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: These datasets provide sedimentological data partly at annual resolution and an age model for the lateglacial part of (1) the ICDP sediment core 5017-1-A retrieved from the deep northern Dead Sea basin in 2010/11, and (2) for the Masada outcrop located at the southwestern shore of the Dead Sea sampled in 2018. The here investigated two sediment sections cover the last glacial-interglacial transition (ca. 17-11.5 ka BP) in the hydroclimatically sensitive Levant, when the water level of Lake Lisan – the precursor of the Dead Sea – dropped dramatically from its glacial high-stand to the Holocene low levels. Here, we analyze the interval between the last two gypsum units – the Upper Gypsum Unit (UGU) and the Additional Gypsum Unit (AGU) – which were also used to correlate the two sites. In the ICDP core this section is located between ~101 and 88.5 m sediment depth below lake floor and at Masada it encompasses the uppermost ~3.8 m sediments of the Lisan Formation, which form the terminal deposit at this site. Due to the lake level decline, the complete transition into the Holocene is only recorded in the ICDP core, while sedimentation at Masada terminates earlier. The microfacies was investigated by continuous thin section microscopy, while additional macroscopic information is provided from over- and underlying sediment sections. A revised chronology using age modelling in OxCal (Ramsey 2008; Ramsey 2009; Ramsey and Lee 2013) was developed for the ICDP core and a floating varve chronology was constructed at Masada. Using these new microfacies data from marginal (Masada) and deep-water (ICDP core) sediments, the hydroclimatic variability during the final stage of Lake Lisan can be reconstructed, which could provide important insights into the development of human sedentism in the region at this time.
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  • 16
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    Physical properties of sea ice cores from site BGC3 measured on legs 1 to 3 of the MOSAiC expedition (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: We present sea ice temperature and salinity data from first-year ice (FYI) and second-year ice (SYI) relevant to the temporal development of sea ice permeability and brine drainage efficiency from the early growth phase in October 2019 to the onset of spring warming in May 2020. Our dataset was collected in the central Arctic Ocean during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Expedition in 2019 to 2020. MOSAiC was an international transpolar drift expedition in which the German icebreaker RV Polarstern anchored into an ice floe to gain new insights into Arctic climate over a full annual cycle. In October 2019, RV Polarstern moored to an ice floe in the Siberian sector of the Arctic at 85 degrees north and 137 degrees east to begin the drift towards the North Pole and the Fram Strait via the Transpolar Drift Stream. The data presented here were collected during the first three legs of the expedition, so all the coring activities took place on the same floe. The end dates of legs 1, 2, and 3 were 13 December, 24 February, and 4 June, respectively. The dataset contributed to a baseline study entitled, Deciphering the properties of different Arctic ice types during the growth phase of the MOSAiC floes: Implications for future studies. The study highlights downward directed gas pathways in FYI and SYI by inferring sea ice permeability and potential brine release from several time series of temperature and salinity measurements. The physical properties presented in this paper lay the foundation for subsequent analyses on actual gas contents measured in the ice cores, as well as air-ice and ice-ocean gas fluxes. Sea ice cores were collected with a Kovacs Mark II 9 cm diameter corer. To measure ice temperatures, about 4.5 cm deep holes were drilled into the core (intervals varied by site and leg) . The temperatures were measured by a digital thermometer within minutes after the cores were retrieved. The ice cores were placed into pre-labelled plastic sleeves sealed at the bottom end. The ice cores were transported to RV Polarstern and stored in a -20 degrees Celsius freezer. Each of the cores was sub-sampled, melted at room temperature, and processed for salinity within one or two days. The practical salinity was estimated by measuring the electrical conductivity and temperature of the melted samples using a WTW Cond 3151 salinometer equipped with a Tetra-Con 325 four-electrode conductivity cell. The practical salinity represents the the salinity estimated from the electrical conductivity of the solution. The dataset also contains derived variables, including sea ice density, brine volume fraction, and the Rayleigh number.
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  • 17
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    Fatty acid distribution in ancient permafrost deposits at the Batagay Megaslump, East Siberia (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Language: English
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  • 18
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    Varve thickness of lateglacial ICDP core 5017-1-A (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: This dataset provides annually resolved microfacies data from ICDP core 5017-1-A, retrieved from the deep northern Dead Sea basin in 2010/11, for the last glacial-interglacial transition (ca. 17-11.5 ka BP). Sediments of the Lisan Formation were investigated between ~101 and 88.5 m sediment depth below lake floor by continuous thin section microscopy, while additional macroscopic information is provided from core catchers, as well as from over- and underlying sediment sections. Thin sections were prepared following the standard procedure by Brauer and Casanova (2001) that was adjusted for salty sediments. Thin section analyses were performed on overlapping large-scale thin sections using a Zeiss Axiolab pol microscope at magnifications of 50-400x. Microfacies analyses included varve counting and measurements of varve and sublayer thickness.
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  • 19
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    Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites - Metadata (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Despite the importance of surface energy budgets (SEBs) for land-climate interactions in the Arctic, uncertainties in their prediction persist. In situ observational data of SEB components - useful for research and model validation - are collected at relatively few sites across the terrestrial Arctic, and not all available datasets are readily interoperable. Furthermore, the terrestrial Arctic consists of a diversity of vegetation types, which are generally not well represented in land surface schemes of current Earth system models. This dataset contains metadata information about surface energy budget components measured at 64 tundra and glacier sites 〉60° N across the Arctic. This information was taken from the open-access repositories FLUXNET, Ameriflux, AON, GC-Net and PROMICE. The contained datasets are associated with the publication vegetation type as an important predictor of the Arctic Summer Land Surface Energy Budget by Oehri et al. 2022, and intended to support research of surface energy budgets and their relationship with environmental conditions, in particular vegetation characteristics across the terrestrial Arctic.
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  • 20
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    Age model of lateglacial ICDP core 5017-1-A (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: This dataset provides the results from Bayesian age depth modelling in OxCal for ICDP core 5017-1-A, retrieved from the deep northern Dead Sea basin in 2010/11, for the last glacial-interglacial transition between ~101 and 88.5 m sediment depth below lake floor (ca. 17-11.5 ka BP). The model was performed in OxCal v.4.4 using a P_Sequence (1,1,C(-2,2)) (Ramsey 2008; Ramsey 2009; Ramsey and Lee 2013) and includes three tephrochronological ages from Neugebauer et al. (2021) and three radiocarbon ages from Kitagawa et al. (2017).
    Language: English
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  • 21
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    Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites - Surface energy budget componenent data (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Despite the importance of surface energy budgets (SEBs) for land-climate interactions in the Arctic, uncertainties in their prediction persist. In situ observational data of SEB components - useful for research and model validation - are collected at relatively few sites across the terrestrial Arctic, and not all available datasets are readily interoperable. Furthermore, the terrestrial Arctic consists of a diversity of vegetation types, which are generally not well represented in land surface schemes of current Earth system models. This dataset comprises harmonized, standardized and aggregated in-situ observations of surface energy budget components measured at 64 sites on vegetated and glaciated sites north of 60° latitude, in the time period from 1994 till 2021. The surface energy budget components include net radiation, sensible heat flux, latent heat flux, ground heat flux, net shortwave radiation, net longwave radiation, surface temperature and albedo, which were aggregated to daily mean, minimum and maximum values from hourly and half-hourly measurements. Data were retrieved from the monitoring networks FLUXNET, AmeriFlux, AON, GC-Net and PROMICE.
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  • 22
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    Physical properties of sea ice cores from site BGC2 measured on legs 1 to 3 of the MOSAiC expedition (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: We present sea ice temperature and salinity data from first-year ice (FYI) and second-year ice (SYI) relevant to the temporal development of sea ice permeability and brine drainage efficiency from the early growth phase in October 2019 to the onset of spring warming in May 2020. Our dataset was collected in the central Arctic Ocean during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Expedition in 2019 to 2020. MOSAiC was an international transpolar drift expedition in which the German icebreaker RV Polarstern anchored into an ice floe to gain new insights into Arctic climate over a full annual cycle. In October 2019, RV Polarstern moored to an ice floe in the Siberian sector of the Arctic at 85 degrees north and 137 degrees east to begin the drift towards the North Pole and the Fram Strait via the Transpolar Drift Stream. The data presented here were collected during the first three legs of the expedition, so all the coring activities took place on the same floe. The end dates of legs 1, 2, and 3 were 13 December, 24 February, and 4 June, respectively. The dataset contributed to a baseline study entitled, Deciphering the properties of different Arctic ice types during the growth phase of the MOSAiC floes: Implications for future studies. The study highlights downward directed gas pathways in FYI and SYI by inferring sea ice permeability and potential brine release from several time series of temperature and salinity measurements. The physical properties presented in this paper lay the foundation for subsequent analyses on actual gas contents measured in the ice cores, as well as air-ice and ice-ocean gas fluxes. Sea ice cores were collected with a Kovacs Mark II 9 cm diameter corer. To measure ice temperatures, about 4.5 cm deep holes were drilled into the core (intervals varied by site and leg) . The temperatures were measured by a digital thermometer within minutes after the cores were retrieved. The ice cores were placed into pre-labelled plastic sleeves sealed at the bottom end. The ice cores were transported to RV Polarstern and stored in a -20 degrees Celsius freezer. Each of the cores was sub-sampled, melted at room temperature, and processed for salinity within one or two days. The practical salinity was estimated by measuring the electrical conductivity and temperature of the melted samples using a WTW Cond 3151 salinometer equipped with a Tetra-Con 325 four-electrode conductivity cell. The practical salinity represents the the salinity estimated from the electrical conductivity of the solution. The dataset also contains derived variables, including sea ice density, brine volume fraction, and the Rayleigh number.
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  • 23
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    Physical properties of sea ice cores for biogeochemistry studies measured on legs 1 to 3 of the MOSAiC expedition (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: We present sea ice temperature and salinity data from first-year ice (FYI) and second-year ice (SYI) relevant to the temporal development of sea ice permeability and brine drainage efficiency from the early growth phase in October 2019 to the onset of spring warming in May 2020. Our dataset was collected in the central Arctic Ocean during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Expedition in 2019 to 2020. MOSAiC was an international transpolar drift expedition in which the German icebreaker RV Polarstern anchored into an ice floe to gain new insights into Arctic climate over a full annual cycle. In October 2019, RV Polarstern moored to an ice floe in the Siberian sector of the Arctic at 85 degrees north and 137 degrees east to begin the drift towards the North Pole and the Fram Strait via the Transpolar Drift Stream. The data presented here were collected during the first three legs of the expedition, so all the coring activities took place on the same floe. The end dates of legs 1, 2, and 3 were 13 December, 24 February, and 4 June, respectively. The dataset contributed to a baseline study entitled, Deciphering the properties of different Arctic ice types during the growth phase of the MOSAiC floes: Implications for future studies. The study highlights downward directed gas pathways in FYI and SYI by inferring sea ice permeability and potential brine release from several time series of temperature and salinity measurements. The physical properties presented in this paper lay the foundation for subsequent analyses on actual gas contents measured in the ice cores, as well as air-ice and ice-ocean gas fluxes. Sea ice cores were collected with a Kovacs Mark II 9 cm diameter corer. To measure ice temperatures, about 4.5 cm deep holes were drilled into the core (intervals varied by site and leg) . The temperatures were measured by a digital thermometer within minutes after the cores were retrieved. The ice cores were placed into pre-labelled plastic sleeves sealed at the bottom end. The ice cores were transported to RV Polarstern and stored in a -20 degrees Celsius freezer. Each of the cores was sub-sampled, melted at room temperature, and processed for salinity within one or two days. The practical salinity was estimated by measuring the electrical conductivity and temperature of the melted samples using a WTW Cond 3151 salinometer equipped with a Tetra-Con 325 four-electrode conductivity cell. The practical salinity represents the the salinity estimated from the electrical conductivity of the solution. The dataset also contains derived variables, including sea ice density, brine volume fraction, and the Rayleigh number.
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  • 24
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    Biogeochemical parameters of thawed sediments underneath a Yedoma and Alas thermokarst lake in Eastern Siberia, version 2 (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: This dataset describes two 17 m long sediment cores taken from beneath two thermokarst lakes in the Yukechi Alas, Central Yakutia, Russia. The first core was taken from below an Alas thermokarst lake (YU-L7; 61.76397°N, 130.46442°E) and the second core below and Yedoma lake (YU-L15; 61.76086°N, 130.47466°E). The dataset presents biogeochemical and biomarker parameters of sediment cores YU-L7 and YU-L15. Biogeochemical analyses include total carbon (TC) content, total organic carbon (TOC) content, total nitrogen (TN) content. Biomarker parameters include the n-alkane concentration, average chain length (ACL), carbon preference index (CPI), brGDGT concentration, archaeol concentration and the isoGDGT-0 concentration. The n-alkanes were measured in the aliphatic fraction by gas chromatography-mass spectromety using a Trace GC Ultra coupled to a DSQ MS. The branched and isoprenoid glycerol dialkyl glycerol tetraethers, as well as the dialkyl glycerol diether lipid (archaeol) were measured in the NSO fraction using a Shimadzu LC-10AD high-performance liquid chromatograph coupled to a Finnigan TSQ 7000 mass spectrometer via an atmospheric pressure chemical ionization interface. The pH soil is the sediment pH which was assessed by adding 6.12 mL of 0.01 M CaCl~2~ to ~2.5 g dried sediment and measuring with a Multilab 540 (WTW) at 20°C.
    Language: English
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  • 25
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    Physical properties of sea ice cores from site BGC1 measured on legs 1 to 3 of the MOSAiC expedition (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: We present sea ice temperature and salinity data from first-year ice (FYI) and second-year ice (SYI) relevant to the temporal development of sea ice permeability and brine drainage efficiency from the early growth phase in October 2019 to the onset of spring warming in May 2020. Our dataset was collected in the central Arctic Ocean during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Expedition in 2019 to 2020. MOSAiC was an international transpolar drift expedition in which the German icebreaker RV Polarstern anchored into an ice floe to gain new insights into Arctic climate over a full annual cycle. In October 2019, RV Polarstern moored to an ice floe in the Siberian sector of the Arctic at 85 degrees north and 137 degrees east to begin the drift towards the North Pole and the Fram Strait via the Transpolar Drift Stream. The data presented here were collected during the first three legs of the expedition, so all the coring activities took place on the same floe. The end dates of legs 1, 2, and 3 were 13 December, 24 February, and 4 June, respectively. The dataset contributed to a baseline study entitled, Deciphering the properties of different Arctic ice types during the growth phase of the MOSAiC floes: Implications for future studies. The study highlights downward directed gas pathways in FYI and SYI by inferring sea ice permeability and potential brine release from several time series of temperature and salinity measurements. The physical properties presented in this paper lay the foundation for subsequent analyses on actual gas contents measured in the ice cores, as well as air-ice and ice-ocean gas fluxes. Sea ice cores were collected with a Kovacs Mark II 9 cm diameter corer. To measure ice temperatures, about 4.5 cm deep holes were drilled into the core (intervals varied by site and leg) . The temperatures were measured by a digital thermometer within minutes after the cores were retrieved. The ice cores were placed into pre-labelled plastic sleeves sealed at the bottom end. The ice cores were transported to RV Polarstern and stored in a -20 degrees Celsius freezer. Each of the cores was sub-sampled, melted at room temperature, and processed for salinity within one or two days. The practical salinity was estimated by measuring the electrical conductivity and temperature of the melted samples using a WTW Cond 3151 salinometer equipped with a Tetra-Con 325 four-electrode conductivity cell. The practical salinity represents the the salinity estimated from the electrical conductivity of the solution. The dataset also contains derived variables, including sea ice density, brine volume fraction, and the Rayleigh number.
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  • 26
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    Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Despite the importance of surface energy budgets (SEBs) for land-climate interactions in the Arctic, uncertainties in their prediction persist. In-situ observational data of SEB components - useful for research and model validation - are collected at relatively few sites across the terrestrial Arctic, and not all available datasets are readily interoperable. Furthermore, the terrestrial Arctic consists of a diversity of vegetation types, which are generally not well represented in land surface schemes of current Earth system models. Therefore, we here provide four datasets comprising: 1. Harmonized, standardized and aggregated in situ observations of SEB components at 64 vegetated and glaciated sites north of 60° latitude, in the time period 1994-2021 2. A description of all study sites and associated environmental conditions, including the vegetation types, which correspond to the classification of the Circumpolar Arctic Vegetation Map (CAVM, Raynolds et al. 2019). 3. Data generated in a literature synthesis from 358 study sites on vegetation or glacier (〉=60°N latitude) covered by 148 publications. 4. Metadata, including data contributor information and measurement heights of variables associated with Oehri et al. 2022.
    Language: English
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  • 27
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    Lithology of lateglacial ICDP core 5017-1-A (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: This dataset provides lithological data from ICDP core 5017-1-A, retrieved from the deep northern Dead Sea basin in 2010/11, for the last glacial-interglacial transition (ca. 17-11.5 ka BP). The microfacies of the Lisan Formation was investigated between ~101 and 88.5 m sediment depth below lake floor by continuous thin section microscopy, while additional macroscopic information is provided from core catchers, as well as from over- and underlying sediment sections. Thin sections were prepared following the standard procedure by Brauer and Casanova (2001) that was adjusted for salty sediments. Thin section analyses were performed on overlapping large-scale thin sections using a Zeiss Axiolab pol microscope at magnifications of 50-400x.
    Language: English
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  • 28
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    Rock and paleomagnetic results of sediment core MSM33\_855-1 over the past 30 ka (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Language: English
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  • 29
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    Lateral and vertical carbon fluxes from the polygonal tundra in the Lena River Delta, Siberia (summer 2014) (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: This dataset contains observations of water discharge rates and concentrations of dissolved organic carbon (DOC) and dissolved inorganic carbon (DIC) from a polygonal tundra site in the Lena River Delta, Russia. This dataset also contains lateral carbon fluxes of DOC and DIC that were estimated from these observations. Additionally, this dataset contains vertical fluxes of carbon dioxide and methane from the same study site. All observations were recorded on Samoylov Island (N 72.377188, E 126.495144) in the summer of 2014. The abbreviations A1, A2 and B refer to three outflows on the island where the hydrological parameters were observed (A1: N 72.379991, E 126.480886; A2: N 72.380134, E 126.481433; B: N 72.381348, E 126.483482). All outflows were approximately 10 meters. More information can be found in https://doi.org/10.5194/bg-19-3863-2022.
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  • 30
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    Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites - Environmental conditions (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Despite the importance of surface energy budgets (SEBs) for land-climate interactions in the Arctic, uncertainties in their prediction persist. In situ observational data of SEB components - useful for research and model validation - are collected at relatively few sites across the terrestrial Arctic, and not all available datasets are readily interoperable. Furthermore, the terrestrial Arctic consists of a diversity of vegetation types, which are generally not well represented in land surface schemes of current Earth system models. This dataset describes the environmental conditions for 64 tundra and glacier sites (〉=60°N latitude) across the Arctic, for which in situ measurements of surface energy budget components were harmonized (see Oehri et al. 2022). These environmental conditions are (proxies of) potential drivers of SEB-components and could therefore be called SEB-drivers. The associated environmental conditions, include the vegetation types graminoid tundra, prostrate dwarf-shrub tundra, erect-shrub tundra, wetland complexes, barren complexes (≤ 40% horizontal plant cover), boreal peat bogs and glacier. These land surface types (apart from boreal peat bogs) correspond to the main classification units of the Circumpolar Arctic Vegetation Map (CAVM, Raynolds et al. 2019). For each site, additional climatic and biophysical variables are available, including cloud cover, snow cover duration, permafrost characteristics, climatic conditions and topographic conditions.
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  • 31
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    Marine ERT surveys acquired in the region of Tuktoyaktuk Island, Northwest Territories, Canada (2022)
    PANGAEA
    Details
    Publication Date: 2023-02-01
    Description: This dataset contains over 30 marine Electrical Resistivity Tomography (ERT) profiles taken in September 2021 around Tuktoyaktuk Island (NWT / Beaufort Sea, Canada). The measurements were part of the “Mackenzie Delta Permafrost Field Campaign” (mCan2021) within the “Modular Observation solutions for Earth Systems” (MOSES) program. The collected profiles consist of numerous adjacent vertical soundings in a (quasi-symmetric) reciprocal Wenner-Schlumberger array, using a floating cable towed behind a boat. GPS records along the electrode streamer were taken, enabling the improvement of pre- processing by excluding measurements for which the cable was curved and electrode positions deviated too widely. The aim of the study was to determine the depth of the submarine permafrost. Cleaned data is provided in csv format.
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  • 32
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    Permafrost related measurements in the Mackenzie Delta, Northwest Territories, Canada, from the MOSES field campaign in September 2021 (2022)
    PANGAEA
    Details
    Publication Date: 2023-02-01
    Description: This collection contains permafrost related measurements in the Mackenzie Delta, NWT, Canada from the MOSES (Modular Observation Solutions for Earth Systems) field campaign in September 2021. The field campaign was focused on three subaquatic sites: a small thermokarst lake along the ITH just south of Trail Valley Creek, "Lake 3", an elongated lake with known methane occurence in the outer Mackenzie Delta, "Swiss Cheese Lake", and north and south of Tuktoyaktuk Island. At "Swiss Cheese Lake", we measured methane and CO2 concentrations in surface water and in the air above the lake, lake bed temperatures and detailed bathymetry. At "Lake 3" we measured active layer thickness on the lake banks, lake bed temperatures, and detailed bathymetry, as well as an ERT survey to estimate the talik depth below the lake. North and south of Tuktoyaktuk Island, we measured active layer thickness and sea bed temperatures and did an extensive ERT survey to obtain the depth of the subsea permafrost table. An additional passive seismic survey was carried out and the data is available at https://doi.org/10.5880/GIPP.202199.1.
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  • 33
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    Lacustrine and amphibian ERT surveys acquired in the region of Inuvik, Northwest Territories, Canada (2022)
    PANGAEA
    Details
    Publication Date: 2023-02-01
    Description: This dataset contains seven Electrical Resistivity Tomography (ERT) profiles taken in September 2021 at “Lake 3”, a thermokarst lake near the Inuvik-Tuktoyaktuk-Highway (ITH), about 50 km north of Inuvik (NWT, Canada). The measurements were part of the “Mackenzie Delta Permafrost Field Campaign” (mCan2021) within the “Modular Observation solutions for Earth Systems” (MOSES) program. The collected profiles consist of numerous adjacent vertical soundings in a (quasi-symmetric) reciprocal Wenner-Schlumberger array. In addition to surveys on the lake, using a floating cable towed behind a boat, two “amphibian” profiles were taken. Starting as purely terrestrial surveys using metal spike electrodes, the cable was then moved towards the lake with some of the electrodes floating on the water surface, and some still on land. The aim of the study was to determine permafrost properties on the land, to detect a possible talik beneath the lake and to especially be able to infer the transition between the two below the shoreline.
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  • 34
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    PS2708-1 Manganese crust from 240 cm and nodule from 1255 cm core depth (1995)
    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Details
    Publication Date: 2021-05-09
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 35
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    Manganese nodule from core PS2707-1 found in 470 cm sediment depth (1995)
    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Details
    Publication Date: 2021-05-09
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 36
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    WHP Cruise Summary Information of section P03 (1995)
    PANGAEA
    In:  EPIC3WOCE., Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 37
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    Aurora Australis Marine Science Cruise AU9404 - Oceanographic Field Measurements and Analysis (1995)
    PANGAEA
    In:  EPIC3WOCE., Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 38
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    Processing ADCP data with the CODAS software system version 3.1 (1995)
    PANGAEA
    In:  EPIC3Joint Institute for Marine and Atmospheric Research, University of Hawaii & National Oceanographic Data Center., Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 39
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    Unknown
    WHP Cruise Summary Information of section P24 (1995)
    PANGAEA
    In:  EPIC3WOCE., Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 40
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    Beginn und Form der Plaggenwirtschaft in Nordwestdeutschland nach pollenanalytischen Untersuchungen in Ostfriesland (1976)
    PANGAEA
    In:  EPIC3Neue Ausgarbungen und Forschungen in Niedersachsen, Bremerhaven, PANGAEA, 10, pp. 197-224
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 41
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    WHP Cruise Summary Information of section I09N (1995)
    PANGAEA
    In:  EPIC3WOCE., Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 42
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    Problems of Paleohydrology (1976)
    PANGAEA
    In:  EPIC3Nauka, Moscow, Bremerhaven, PANGAEA, 296 p.
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 43
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    WHP Cruise Summary Information of section I08S and I09S (1995)
    PANGAEA
    In:  EPIC3WOCE., Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 44
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    Tectonic fabric and hydrothermal activity of Mid-Atlantic Ridge crest (1976)
    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Details
    Publication Date: 2015-07-15
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 45
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    Figures of concretions from Shebandowan Lakes (1976)
    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Details
    Publication Date: 2016-02-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
    Format: image/jpeg
    Format: image/jpeg
    Format: image/jpeg
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  • 46
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    Carbon flux at the water-sediment interface of tropical lagoons (1995)
    PANGAEA
    In:  EPIC3International Workshop on Carbon cycling and coral reef metabolism, Miyakojima, Japan, Bremerhaven, PANGAEA, pp. 76-81
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 47
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    WHP Cruise Summary Information of section A13 and A14 (1995)
    PANGAEA
    In:  EPIC3WOCE., Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 48
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    Data processing documentation - WOCE II Cruise 316N145-11, -12 (1995)
    PANGAEA
    In:  EPIC3WOCE., Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 49
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    WHP Cruise Summary Information of section I02EW (1995)
    PANGAEA
    In:  EPIC3WOCE., Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 50
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    WHP Cruise Summary Information of section A01W, AR05, AR13 (1995)
    PANGAEA
    In:  EPIC3WOCE., Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 51
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    WHP Cruise Summary Information of section I07N (1995)
    PANGAEA
    In:  EPIC3WOCE., Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 52
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    Fast response platinum resistance thermometer (1995)
    PANGAEA
    In:  EPIC3IDRONAUT S.r.l, www.idronaut.it, Bremerhaven, PANGAEA, 1 p.
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 53
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    WOCE Handbook, Appendix G Water Sample Parameters (1995)
    PANGAEA
    In:  EPIC3WOCE International Project Office,., Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 54
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    Spätquartäre Sedimentationsprozesse in der östlichen Framstrasse (1995)
    PANGAEA
    In:  EPIC3Master Thesis, Alfred Wegener Institute for Polar and Marine Research, Bremerhaven & Fachbereich Geowissenschaften, Westfälische Wilhelms-Universität zu Münster (http://store.pangaea.de/Publications/archive/DiplMueller.zip), Bremerhaven, PANGAEA, 84 p.
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 55
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    METEOR Cruise overview M40 (1976)
    PANGAEA
    In:  EPIC3Deutsches Hydrographisches Institut, Hamburg, Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 56
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    METEOR Cruise overview M43 (1976)
    PANGAEA
    In:  EPIC3Deutsches Hydrographisches Institut, Hamburg, Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 57
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    Conductivity measurement is accomplished by using an advanced platinum sevenring quartz cell (1995)
    PANGAEA
    In:  EPIC3IDRONAUT S.r.l, www.idronaut.it, Bremerhaven, PANGAEA, 1 p.
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 58
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    METEOR Cruise overview M42 (1976)
    PANGAEA
    In:  EPIC3Deutsches Hydrographisches Institut, Hamburg, Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 59
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    Determination of proteins from sediment samples (1976)
    PANGAEA
    In:  EPIC3A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Analytical Biochemistry, 72(1-2), 248-254, doi:10.1016/0003-2697(76), Bremerhaven, PANGAEA, pp. 90527-3
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 60
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    METEOR Cruise overview M41 (1976)
    PANGAEA
    In:  EPIC3Deutsches Hydrographisches Institut, Hamburg, Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 61
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    Cylindrical, high pressure glass membrane pH electrode (1995)
    PANGAEA
    In:  EPIC3IDRONAUT S.r.l, www.idronaut.it, Bremerhaven, PANGAEA, 1 p.
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 62
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    Pollenanalytische Untersuchungen zur Vegetations- und Siedlungsgeschichte bei Flögeln und im Ahlenmoor (Elb-Weser-Winkel) (1976)
    PANGAEA
    In:  EPIC3Probleme der Küstenforschung im südlichen Nordseegebiet, Bremerhaven, PANGAEA, 11, pp. 101-118
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 63
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    WHP Cruise Summary Information of section I04, I05W, and I07C (1995)
    PANGAEA
    In:  EPIC3WOCE., Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 64
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    WHP Cruise Summary Information of section I03 (1995)
    PANGAEA
    In:  EPIC3WOCE., Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 65
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    Aurora Australis Marine Science Cruise AU9309/AU9391 - Oceanographic Field Measurements and Analysis (WOCE Cruise P11A and SR03) (1995)
    PANGAEA
    In:  EPIC3Antarctic CRC., Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 66
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    WHP Cruise Summary Information of section A23 (1995)
    PANGAEA
    In:  EPIC3WOCE., Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 67
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    WHP Cruise Summary Information of section I08N and I05E (1995)
    PANGAEA
    In:  EPIC3WOCE., Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 68
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    WHP Cruise Summary Information of section I10 (1995)
    PANGAEA
    In:  EPIC3WOCE., Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 69
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    Reconstruction of the vegetational evolution of Bozi Dar peat bog during Late Glacial Holocene (1995)
    PANGAEA
    In:  EPIC3Geolines (Praha), Bremerhaven, PANGAEA, 2, 10 p.
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 70
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    Beiträge zur Vegeiatiomgeschichte des Georgenfelder Hochmoores (1995)
    PANGAEA
    In:  EPIC3Diplomarbeit, Universität Leipzig Fakultät für Biowissenschaften, Pharmazie und Psychologie., Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 71
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    The History of Lakes of Northern Asia (1995)
    PANGAEA
    In:  EPIC3Nauka Publishers, Sankt-Petersburg., Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 72
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    Zoobenthos and sediments time series at List Reede, Sylt, Germany, 2003 to 2019 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored over 17 years for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, always during preceeded high tide. Granulometric sediment composition was analysed from a sub-sample of each box-core using a diffraction laser particle-size analyser. Macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. The amount of shell detritus was quantified as wet-weight in the benthos samples. From 2003 to 2007 sampling was approximatively monthly and from 2008 to 2013 seasonally. When a new ship with larger drought was put into operation, the number of sampling sites needed to be reduced to 33 from 2014 onwards and sampling frequency was only once per year in autumn.
    Keywords: AWI_Coast; Coastal Ecology @ AWI; Macrobenthos; sediment analysis; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: application/zip, 34 datasets
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    DATA PANGAEA
  • 73
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    Topsoil isotopic composition (δ2H) from the catchment of lake Khar Nuur, Mongolia (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-13
    Keywords: Altai Mountains, Mongolia; compound-specific biomarker isotopes; DEPTH, soil; Depth, soil, maximum; Depth, soil, minimum; Event label; GASC; Gas chromatograph; KN_2H_A1; KN_2H_A10; KN_2H_A11; KN_2H_A12; KN_2H_A13; KN_2H_A2; KN_2H_A3; KN_2H_A4; KN_2H_A5; KN_2H_A6; KN_2H_A7; KN_2H_A8; KN_2H_A9; lake surface sediments; LATITUDE; LONGITUDE; Mongolia; n-Alkane C27, δD; n-Alkane C27, δD, standard deviation; n-Alkane C31, δD; n-Alkane C31, δD, standard deviation; Sample ID; SOIL; Soil profile; topsoils
    Type: Dataset
    Format: text/tab-separated-values, 65 data points
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    DATA PANGAEA
  • 74
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    Stable oxygen and carbon isotopes of planktic and benthic foraminifera from the Lardos SW hill section, Rhodes, Greece (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-13
    Description: Stable oxygen and carbon isotopes were measured on (i) the planktic foraminifera species Globigerinoides ruber (white) and alternatively, in samples in which G. ruber was lacking, on Globigerinoides conglobatus; and (ii) the benthic foraminifera species Cibicidoides pachyderma and alternatively, in samples in which C. pachyderma was lacking, on Cibicides lobatulus. 10–15 planktic and 4-6 benthic specimens of the fraction 〉250 μm were selected. Additionally, attention was paid to select specimens of similar size to minimise influences of metabolic effects and changing preferential habitats during ontogeny. For cleaning and removal of sediment, the selected foraminifera were cracked between two glass plates, transferred to a sample cup, covered with ethanol and immerged into an ultrasonic bath for 5–10 s. The sediment brought into suspension was decanted. The procedure was repeated until the ethanol remained clear after the ultrasonic bath. The cleaned foraminifera were reacted with 100% phosphoric acidat 75 °C using a Kiel III online carbonate preparation line connected to a ThermoFinnigan 252 mass spectrometer (Geochemical Laboratory of the GeoZentrum Nordbayern,Germany). Isotopic data are expressed in per mil relative to V-PDB by assigning a δ18O-value of -2.20 ‰ to NBS19, using the standard δ-notation. The reproducibility was checked by replicate analysis of laboratory standards and was found to be better than ±0.05 for δ18O and δ13C (1σ).
    Keywords: Benthic and planktonic foraminifera; Greece; Rhodes; stable oxygen and carbon isotopes
    Type: Dataset
    Format: application/zip, 4 datasets
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    DATA PANGAEA
  • 75
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    Physicochemical parameters of the water column for the sample stations of the Weser river campaign 2016 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-14
    Description: A key task in understanding and mapping the complex mass transport pathways and potential transformation processes of contaminants in coastal regions such as the German Bight is to determine and evaluate the most significant contribution sources into coastal areas. Rivers represent one key input source within this context. As part of a river campaign in June 2016, sediment and freshwater samples were taken from the Weser river and its tributaries to identify their elemental and isotopic fingerprint and to investigate potential inputs to the German Bight. At every sampling station physicochemical parameters of the water column were measured directly after sampling with respective probes of a multimeter covering pH, dissolved oxygen, temperature and conductivity.
    Keywords: Conductivity, electrical; Date/Time of event; Event label; Helmholtz-Zentrum Hereon; Hereon; Latitude of event; Longitude of event; Multimeter; Oxygen, dissolved; pH; pH sensor; Sample code/label; Station label; Temperature, water; Water sample; WESER_2016; WESER_2016_Stat_1_1; WESER_2016_Stat_10_1; WESER_2016_Stat_11_1; WESER_2016_Stat_12_1; WESER_2016_Stat_13_1; WESER_2016_Stat_14_1; WESER_2016_Stat_15_1; WESER_2016_Stat_16_1; WESER_2016_Stat_17_1; WESER_2016_Stat_18_1; WESER_2016_Stat_19_1; WESER_2016_Stat_2_1; WESER_2016_Stat_20_1; WESER_2016_Stat_23_1; WESER_2016_Stat_24_1; WESER_2016_Stat_25_1; WESER_2016_Stat_26_1; WESER_2016_Stat_27_1; WESER_2016_Stat_28_1; WESER_2016_Stat_29_1; WESER_2016_Stat_3_1; WESER_2016_Stat_30_1; WESER_2016_Stat_31_1; WESER_2016_Stat_32_1; WESER_2016_Stat_33_1; WESER_2016_Stat_34_1; WESER_2016_Stat_35_1; WESER_2016_Stat_36_1; WESER_2016_Stat_37_1; WESER_2016_Stat_38_1; WESER_2016_Stat_4_1; WESER_2016_Stat_5_1; WESER_2016_Stat_6_1; WESER_2016_Stat_7_1; WESER_2016_Stat_8_1; WESER_2016_Stat_9_1; Weser_S_01; Weser_S_02; Weser_S_03; Weser_S_04; Weser_S_05; Weser_S_06; Weser_S_07; Weser_S_08; Weser_S_09; Weser_S_10; Weser_S_11; Weser_S_12; Weser_S_13; Weser_S_14; Weser_S_15; Weser_S_16; Weser_S_17; Weser_S_18; Weser_S_19; Weser_S_20; Weser_S_23; Weser_S_24; Weser_S_25; Weser_S_26; Weser_S_27; Weser_S_28; Weser_S_29; Weser_S_30; Weser_S_31; Weser_S_32; Weser_S_33; Weser_S_34; Weser_S_35; Weser_S_36; Weser_S_37; Weser_S_38; Weser, Germany, Europe; WS
    Type: Dataset
    Format: text/tab-separated-values, 213 data points
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    DATA PANGAEA
  • 76
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    Physicochemical parameters of the water column for the sample stations of the Ems river campaign 2016 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-14
    Description: In order to understand and map the complex mass transport pathways and possible transformation processes of contaminants in coastal regions such as the German Bight, the main coastal contributors must be identified and evaluated. In this context, rivers represent a major input source. In the framework of a river campaign from 20.06.16 till 25.06.2016, sediment and freshwater samples of the Ems and its tributaries were taken to determine their elemental and isotopic fingerprint and to investigate possible inputs into the German Bight. All sediment samples were obtained using a Van Veen grab sampler and were analyzed for their grain size distribution by laser diffraction.
    Keywords: Conductivity, electrical; Date/Time of event; EM2016_Stat_1_1; EM2016_Stat_10_1; EM2016_Stat_11_1; EM2016_Stat_12_1; EM2016_Stat_13_1; EM2016_Stat_14_1; EM2016_Stat_15_1; EM2016_Stat_16_1; EM2016_Stat_17_1; EM2016_Stat_18_1; EM2016_Stat_19_1; EM2016_Stat_2_1; EM2016_Stat_20_1; EM2016_Stat_21_1; EM2016_Stat_22_1; EM2016_Stat_23_1; EM2016_Stat_24_1; EM2016_Stat_25_1; EM2016_Stat_26_1; EM2016_Stat_27_1; EM2016_Stat_3_1; EM2016_Stat_4_1; EM2016_Stat_5_1; EM2016_Stat_6_1; EM2016_Stat_7_1; EM2016_Stat_8_1; EM2016_Stat_9_1; EMS_2016; Ems_S_01; Ems_S_02; Ems_S_03; Ems_S_04; Ems_S_05; Ems_S_06; Ems_S_07; Ems_S_08; Ems_S_09; Ems_S_10; Ems_S_11; Ems_S_12; Ems_S_13; Ems_S_14; Ems_S_15; Ems_S_16; Ems_S_17; Ems_S_18; Ems_S_19; Ems_S_20; Ems_S_21; Ems_S_22; Ems_S_23; Ems_S_24; Ems_S_25; Ems_S_26; Ems_S_27; Ems, Germany, Europe; Event label; Helmholtz-Zentrum Hereon; Hereon; Latitude of event; Longitude of event; Multimeter; Oxygen, dissolved; pH; Sample code/label; Station label; Temperature, water; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 162 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 77
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2012 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 1098 individuals from the five sampling dates in 2012.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; Disc diameter; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 5490 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 78
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2013 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 669 individuals from the three sampling dates in 2013.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; Disc diameter; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 2370 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 79
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2017 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 259 individuals from the 2017 sampling.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 1160 data points
    Location Call Number Expected Availability
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  • 80
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2016 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 253 individuals from the 2016 sampling.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 1070 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 81
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2003 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 1629 individuals from the four sampling dates in 2003.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; Disc diameter; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 6430 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 82
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2004 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 3198 individuals from the 11 sampling dates in 2004.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; Disc diameter; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 12290 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 83
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2005 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 15918 individuals from the 10 sampling dates in 2005.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; Disc diameter; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 14645 data points
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    DATA PANGAEA
  • 84
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2006 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 1990 individuals from the nine sampling dates in 2006.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; Disc diameter; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 7955 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 85
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2007 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 3555 individuals from the 10 sampling dates in 2007.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; Disc diameter; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 11565 data points
    Location Call Number Expected Availability
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  • 86
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2009 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 734 individuals from the three sampling dates in 2009.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; Disc diameter; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 2645 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 87
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2010 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 672 individuals from the three sampling dates in 2010.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; Disc diameter; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 2760 data points
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  • 88
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2011 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 1018 individuals from the five sampling dates in 2011.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; Disc diameter; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 4565 data points
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  • 89
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2008 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 1072 individuals from the five sampling dates in 2008.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; Disc diameter; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 3830 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 90
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2014 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 1055 individuals from the 2014 sampling.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; Disc diameter; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 1605 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 91
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2015 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 294 individuals from the 2015 sampling.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 1074 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 92
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2018 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 120 individuals from the 2018 sampling.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 510 data points
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    DATA PANGAEA
  • 93
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2019 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 134 individuals from the 2019 sampling.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 655 data points
    Location Call Number Expected Availability
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  • 94
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    Radiocarbon data of high molecular weight fatty acids from sediment core ARA04C/37 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-22
    Keywords: 37GVC1; AGE; ARA04C; ARA04C/37; Araon; Arctic Ocean; Beaufort Sea; BICYCLE-SE carbon cycle model; Biomarker; Blank- and methyl-corrected; DEPTH, sediment/rock; Fraction modern carbon; Fraction modern carbon, standard deviation; GC; Gravity corer; Radiocarbon analysis (14C); radiocarbon isotope (Fm); Rock-Eval; Sample material
    Type: Dataset
    Format: text/tab-separated-values, 45 data points
    Location Call Number Expected Availability
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  • 95
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    Radiocarbon data of bulk organic carbon from sediment core ARA04C/37 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-22
    Keywords: 37GVC1; AGE; ARA04C; ARA04C/37; Araon; Arctic Ocean; Beaufort Sea; BICYCLE-SE carbon cycle model; Biomarker; DEPTH, sediment/rock; Fraction modern carbon; Fraction modern carbon, standard deviation; GC; Gravity corer; Radiocarbon analysis (14C); radiocarbon isotope (Fm); Rock-Eval; Sample material
    Type: Dataset
    Format: text/tab-separated-values, 144 data points
    Location Call Number Expected Availability
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  • 96
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    Impact of Indian Ocean surface temperature gradient reversals on the Indian Summer Monsoon over the last 26 kyr (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-06
    Description: The 26,000-year long time-series analyzed in a marine sediment core from the northern Bay of Bengal includes Mg/Ca-based SST estimates, Ba/Ca-based mixed layer salinity estimates, and estimates of ice-volume corrected d18O of the mixed layer. The data are provide new insights into the control of Indian Summer Monsoon over the last 26,000 years, including a strong influence of zonal and meridional SST gradient changes within the tropical Indian Ocean on Indian Summer Monsoon variability.
    Keywords: Ba/Ca-based salinitt estimates; Bay of Bengal; Holocene climate variability; Indian Monsoon; Indian Ocean Dipole; last deglaciation; Last Glacial Maximum; Mg/Ca-based paleotemperatures; runoff; Salinity; Temperature
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Expected Availability
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  • 97
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    Aerosol lithium concentration data from the Indian and Pacific ocean (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-04
    Description: A total of 125 aerosol samples were analysed for their lithium concentrations and deposition flux. Daily aerosol samples were collected from the Pacific Ocean during CLIVAR-CO2 Repeat Hydrography Sections P16 and P2. The P16 section follows 150°-152°W and was divided into two legs, a southern leg from 17°S to 71°S in January-February 2005, and a northern leg from 16°S to 56°N in February-March 2006. CLIVAR-CO2 section P2 from Japan to San Diego, along 30°N, was visited in June-August 2004. The aerosol data from both CLIVAR-CO2 sections include aerosol lithium concentration measured following digestion in HF:HNO3:HCl mixture and corrected for sea-salt contributions (Li xs total), the P16 data also includes aerosol lithium extracted with ultrapure deionised water (≥18 MΩ) by pulling 100 mL of deionised water within ten seconds through the filter (Li xs MQ). Aerosol lithium deposition flux was calculated based on the local rain rate.
    Keywords: aerosol; Cruise/expedition; DATE/TIME; Indian Ocean; LATITUDE; Lithium; Lithium, flux; Lithium, soluble; LONGITUDE; Pacific Ocean; Precipitation, annual, mean; Sinking velocity
    Type: Dataset
    Format: text/tab-separated-values, 999 data points
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  • 98
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    Physical properties of sediments in the Norwegian Trough measured on short cores taken between 1992 and 1996 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-02
    Description: Wet bulk density, dry bulk density, porosity, water content and water saturation of sediments from the Norwegian Trough were determined on short cores taken between 1992 and 1996. On the cruises 17-25 July 1992 (station 2-55) and 1-6 July 1993 (station 56-75) in the easternmost part of the Skagerrak, cores were taken with a Niemistö corer. Plastic liners (length 76 cm, outer diameter 63 mm, inner diameter 59 mm) were placed in the corer with holes drilled every five centimetres downwards. These holes were sealed with tape before sampling. After the sample was taken, the tape was removed. In most cases, there was water along the inside of the plastic liner. This water was allowed to drain before sub-samples were taken. Then plastic syringes without a tip were carefully inserted into each hole, and 10 ml of wet sediment was taken out. The sub-samples were then pressed out of the syringes into plastic bags that had been weighed in advance and stored in a refrigerator until they were measured in the laboratory. Upon arrival at the laboratory, the plastic bags with samples were weighed, the weight of the plastic bags was deducted, and the weight of 10 ml of the wet sample was noted. The weight of the dry sample was found by transferring the sample material onto a pre-weighted ceramic bowl before it was weighed again, then drying the bowl with sample in drying cabinet at 70 degrees C for 24 hours, and finally weighing the bowl with sample after drying. The weight of 10 ml of dry sample corresponds to the difference before and after drying. On the cruises 5-16 June 1994 (stations 76-133), 17-24 July 1995 (stations 135-180) and 9-19 September 1996 (stations 181-286), cores were taken with a multicorer. Plastic liners (length 61 cm, outer diameter 63 mm, inner diameter 59 mm) were placed in the corer, which after sampling was closed at both ends with rubber caps to prevent water in the core and on top of the core from leaking out or to evaporate. The cores were then transported to the laboratory in an upright position and stored as such until they were opened. After removing the rubber cap on top of the core, the water was drained by drilling holes in the plastic liner just above the top of the sediment. Lying in a rack, the core was then divided lengthwise with a circular saw by sawing through the plastic liner on both sides of the core. A thin string was then pulled in the saw gap through the sediment and the core split in two halves. Metal rings of known weight and volume were used to take sub-samples. The ring (approx. 2 cm in diameter) was gently pressed into the sediment at certain depths in the middle of one of the core halves, until the ring was full, and then gently tilted out with a spatula. The ends were levelled with a wire saw or spatula, and the excess sediment was discarded. The wet sample plus ring was weighed immediately after the sediment on the outside of the metal ring was removed. The sample was then pressed out into a pre-weighed porcelain bowl. Then the weight of bowl plus wet sample was measured, and the weight of wet sample was determined. The sample was dried in a porcelain bowl in a heating cabinet at 105 degrees C for 24 hours, before the sample plus bowl was weighed again and the dry weight was determined. More details on the methods can be found in Rise and Bøe (1995) and Bøe and Rise (1997).
    Keywords: 10; 100; 101; 102; 103; 104; 105; 106; 107; 108; 109; 11; 110; 111; 112; 113; 114; 115; 116; 117; 118; 119; 12; 120; 121; 122; 123; 127; 128; 129; 13; 130; 131; 132; 133; 135; 136; 137; 138; 139; 14; 140; 141; 142; 143; 144; 145; 146; 147; 148; 149; 15; 150; 151; 152; 153; 154; 155; 156; 157; 158; 16; 160; 161; 162; 163; 164; 165; 166; 166B; 167; 169; 17; 170; 171; 172; 173; 175; 176; 177; 178; 179; 18; 180; 181; 182; 183; 184; 185; 186; 188; 189; 19; 190; 191; 192; 193; 194; 195; 196; 197; 198; 199; 2; 200; 201; 203; 205; 206; 207; 208; 209; 21; 210; 211; 212; 213; 214; 215; 216; 22; 220; 221; 222; 223; 224; 225; 226; 227; 228; 229; 23; 230; 231; 232; 235; 236; 237; 238; 239; 24; 240; 241; 242; 243; 244; 245; 246; 247; 25; 251; 252; 253; 254; 255; 256; 257; 258; 259; 26; 260; 261; 262; 263; 264; 268; 269; 27; 270; 271; 272; 273; 274; 275; 276; 277; 28; 280; 281; 282; 283; 284; 285; 286; 29; 3; 30; 31; 32; 33; 34; 35; 36; 37; 38; 39; 4; 40; 41; 42; 43; 44; 45; 46; 47; 48; 49; 5; 50; 51; 52; 53; 54; 55; 56; 57; 58; 59; 6; 60; 61; 62; 63; 64; 65; 66; 67; 68; 69; 7; 70; 71; 72; 73; 74; 75; 76; 77; 78; 79; 8; 80; 81; 82; 83; 84; 85; 86; 87; 88; 89; 9; 90; 91; 92; 93; 94; 95; 96; 97; 98; 99; Date/Time of event; Density, dry bulk; Density, wet bulk; DEPTH, sediment/rock; dry bulk density; Event label; Håkon Mosby; HM9205; HM9205_10; HM9205_11; HM9205_12; HM9205_13; HM9205_14; HM9205_15; HM9205_16; HM9205_17; HM9205_18; HM9205_19; HM9205_2; HM9205_21; HM9205_22; HM9205_23; HM9205_24; HM9205_25; HM9205_26; HM9205_27; HM9205_28; HM9205_29; HM9205_3; HM9205_30; HM9205_31; HM9205_32; HM9205_33; HM9205_34; HM9205_35; HM9205_36; HM9205_37; HM9205_38; HM9205_39; HM9205_4; HM9205_40; HM9205_41; HM9205_42; HM9205_43; HM9205_44; HM9205_45; HM9205_46; HM9205_47; HM9205_48; HM9205_49; HM9205_5; HM9205_50; HM9205_51; HM9205_52; HM9205_53; HM9205_54; HM9205_55; HM9205_6; HM9205_7; HM9205_8; HM9205_9; HM9307; HM9307_56; HM9307_57; HM9307_58; HM9307_59; HM9307_60; HM9307_61; HM9307_62; HM9307_63; HM9307_64; HM9307_65; HM9307_66; HM9307_67; HM9307_68; HM9307_69; HM9307_70; HM9307_71; HM9307_72; HM9307_73; HM9307_74; HM9307_75; HM9404; HM9404_100; HM9404_101; HM9404_102; HM9404_103; HM9404_104; HM9404_105; HM9404_106; HM9404_107; HM9404_108; HM9404_109; HM9404_110; HM9404_111; HM9404_112; HM9404_113; HM9404_114; HM9404_115; HM9404_116; HM9404_117; HM9404_118; HM9404_119; HM9404_120; HM9404_121; HM9404_122; HM9404_123; HM9404_127; HM9404_128; HM9404_129; HM9404_130; HM9404_131; HM9404_132; HM9404_133; HM9404_76; HM9404_77; HM9404_78; HM9404_79; HM9404_80; HM9404_81; HM9404_82; HM9404_83; HM9404_84; HM9404_85; HM9404_86; HM9404_87; HM9404_88; HM9404_89; HM9404_90; HM9404_91; HM9404_92; HM9404_93; HM9404_94; HM9404_95; HM9404_96; HM9404_97; HM9404_98; HM9404_99; HM9506; HM9506_135; HM9506_136; HM9506_137; HM9506_138; HM9506_139; HM9506_140; HM9506_141; HM9506_142; HM9506_143; HM9506_144; HM9506_145; HM9506_146; HM9506_147; HM9506_148; HM9506_149; HM9506_150; HM9506_151; HM9506_152; HM9506_153; HM9506_154; HM9506_155; HM9506_156; HM9506_157; HM9506_158; HM9506_160; HM9506_161; HM9506_162; HM9506_163; HM9506_164; HM9506_165; HM9506_166; HM9506_166B; HM9506_167; HM9506_169; HM9506_170; HM9506_171; HM9506_172; HM9506_173; HM9506_175; HM9506_176; HM9506_177; HM9506_178; HM9506_179; HM9506_180; HM9606; HM9606_181; HM9606_182; HM9606_183; HM9606_184; HM9606_185; HM9606_186; HM9606_188; HM9606_189; HM9606_190; HM9606_191; HM9606_192; HM9606_193; HM9606_194; HM9606_195; HM9606_196; HM9606_197; HM9606_198; HM9606_199; HM9606_200; HM9606_201; HM9606_203; HM9606_205; HM9606_206; HM9606_207; HM9606_208; HM9606_209; HM9606_210; HM9606_211; HM9606_212; HM9606_213; HM9606_214; HM9606_215; HM9606_216; HM9606_220; HM9606_221; HM9606_222; HM9606_223; HM9606_224; HM9606_225; HM9606_226; HM9606_227; HM9606_228; HM9606_229; HM9606_230; HM9606_231; HM9606_232; HM9606_235; HM9606_236; HM9606_237; HM9606_238; HM9606_239; HM9606_240; HM9606_241; HM9606_242; HM9606_243; HM9606_244; HM9606_245; HM9606_246; HM9606_247; HM9606_251; HM9606_252; HM9606_253; HM9606_254; HM9606_255; HM9606_256; HM9606_257; HM9606_258; HM9606_259; HM9606_260; HM9606_261; HM9606_262; HM9606_263; HM9606_264; HM9606_268; HM9606_269; HM9606_270; HM9606_271; HM9606_272; HM9606_273; HM9606_274; HM9606_275; HM9606_276; HM9606_277; HM9606_280; HM9606_281; HM9606_282; HM9606_283; HM9606_284; HM9606_285; HM9606_286; Latitude of event; Longitude of event; MUC; MultiCorer; NC; Niemistoe corer; North Sea; Norwegian Trough, North Sea; porosity; Porosity; Saturation; Skagerrak; Station label; water content; Water content, sediment; water saturation; wet bulk density
    Type: Dataset
    Format: text/tab-separated-values, 6366 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 99
    facet.materialart.
    Unknown
    Solid phase concentrations in the sediment at 5 sites along a water depth transect in the Gulf of Mexico (Louisiana continental shelf) (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-03
    Description: All sediments were freeze-dried and the porosity was determined from the weight loss upon freeze drying. To determine the total elemental concentrations of aluminum (Al), Co, Fe, Mn, Ni, and S, ca. 125 mg of sediment was digested in 2.5 ml mixed acid (HNO3:HClO4; 2:3) and 2.5 ml 40% HF at 90◦C. After fuming off the acids, the residue was redissolved in 4.5% HNO3. The solutions were subsequently analyzed on an ICP-OES. The analytical uncertainty based on duplicates and triplicates was 〈1% for Al, 〈4.2% for Co, 〈1.6% for Fe, 〈2.5% for Mn, 〈2.3% for Ni, and 〈1.7% for S. A subsample of circa 300 mg was decalcified with 2 wash steps of 1M HCl and subsequently dried, powdered and analyzed for carbon (C) using an elemental analyser (Fisons Instrumentsmodel NA 1500 NCS). Organic C content was determined after correction for the weight loss following decalcification. The analytical uncertainty based on duplicates and triplicates was 〈0.07 wt%.
    Keywords: 64PE434_1; 64PE434_2; 64PE434_3; 64PE434_4; 64PE434_5; 64PE434_NICO_Leg7; Aluminium, total; Carbon, organic; Cobalt, total; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Event label; Gulf of Mexico; Inductively Coupled Plasma - Optical Emission Spectrometry (ICP-OES); Iron; Iron, total; Iron ascorbic acid extraction; Iron disulfide; Iron II, ferrous iron; Iron monosulfide; Iron oxides; Manganese, total; Nickel, total; Pelagia; Porosity; Station 1; Station 2; Station 3; Station 4; Station 5; Sulfur, total; Surface water sample; SWS
    Type: Dataset
    Format: text/tab-separated-values, 1511 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 100
    facet.materialart.
    Unknown
    Porewater concentrations of ammonium, nitrite, nitrate, sulfate, hydrogen sulfide, dissolved iron and dissolved manganese at 5 sites along a water depth transect in the Gulf of Mexico (Louisiana continental shelf) (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-03
    Description: Porewater samples for NH4+, NO3- , and NO2- were analyzed on board with Quattro gas-segmented continuous flow analysers using the indophenolblue method (NH+4), and the sulphanyl-amide method (NOx). Porewater sulfide was determined spectrophotometrically using phenylenediamine and ferric chloride. Porewater samples for SO4 2- were analyzed by ion-chromatography. Dissolved Fe and Mn were analyzed by Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES; Spectro Arcos). Porewater concentrations were around or below the detection limit (0.5 and 0.8 μmol L−1, respectively) and are therefore not presented.
    Keywords: 64PE434_1; 64PE434_2; 64PE434_3; 64PE434_4; 64PE434_5; 64PE434_NICO_Leg7; Ammonium; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Event label; Gulf of Mexico; Hydrogen sulfide; Inductively Coupled Plasma - Optical Emission Spectrometry (ICP-OES); Ion chromatography; Iron, dissolved; Manganese, dissolved; Nitrate; Nitrite; Pelagia; see description in data abstract; Station 1; Station 2; Station 3; Station 4; Station 5; Sulfate; Surface water sample; SWS
    Type: Dataset
    Format: text/tab-separated-values, 839 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
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