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  • 1
    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
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  • 2
    Publication Date: 2023-01-27
    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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  • 3
    Publication Date: 2022-11-29
    Description: Living microorganisms inhabit every environment of the biosphere but only in the last decades their importance governing biochemical cycles in deep sediments has been widely recognized. Most investigations have been accomplished in the marine realm whereas there is a clear paucity of comparable studies in lacustrine sediments. One of the main challenges is to define geomicrobiological proxies that can be used to identify different microbial signals in the sediments. Laguna Potrok Aike, a maar lake located in Southeastern Patagonia, has an annually not stratifying cold water column with temperatures ranging between 4 and 10 °C, and most probably an anoxic water/sediment interface. These unusual features make it a peculiar and interesting site for geomicrobiological studies. Living microbial activity within the sediments was inspected by the first time in a sedimentary core retrieved during an ICDP-sponsored drilling operation. The main goals to study this cold subsaline environment were to characterize the living microbial consortium; to detect early diagenetic signals triggered by active microbes; and to investigate plausible links between climate and microbial populations. Results from a meter long gravity core suggest that microbial activity in lacustrine sediments can be sustained deeper than previously thought due to their adaptation to both changing temperature and oxygen availability. A multi-proxy study of the same core allowed defining past water column conditions and further microbial reworking of the organic fraction within the sediments. Methane content shows a gradual increase with depth as a result of the fermentation of methylated substrates, first methanogenic pathway to take place in the shallow subsurface of freshwater and subsaline environments. Statistical analyses of DGGE microbial diversity profiles indicate four clusters for Bacteria reflecting layered communities linked to the oxidant type whereas three clusters characterize Archaea communities that can be linked to both denitrifiers and methanogens. Independent sedimentary and biological proxies suggest that organic matter production and/or preservation have been lower during the Medieval Climate Anomaly (MCA) coinciding with a low microbial colonization of the sediments. Conversely, a reversed trend with higher organic matter content and substantial microbial activity characterizes the sediments deposited during the Little Ice Age (LIA). Thus, the initial sediments deposited during distinctive time intervals under contrasting environmental conditions have to be taken into account to understand their impact on the development of microbial communities throughout the sediments and their further imprint on early diagenetic signals.
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  • 4
    Publication Date: 2022-11-29
    Description: Authigenic minerals can form in the water column and sediments of lakes, either abiotically or mediated by biological activity. Such minerals have been used as paleosalinity and paleoproductivity indicators and reflect trophic state and early diagenetic conditions. They are also considered potential indicators of past and perhaps ongoing microbial activity within sediments. Authigenic concretions, including vivianite, were described in late glacial sediments of Laguna Potrok Aike, a maar lake in southernmost Argentina. Occurrence of iron phosphate implies specific phosphorus sorption behavior and a reducing environment, with methane present. Because organic matter content in these sediments was generally low during glacial times, there must have been alternative sources of phosphorus and biogenic methane. Identifying these sources can help define past trophic state of the lake and diagenetic processes in the sediments. We used scanning electron microscopy, phosphorus speciation in bulk sediment, pore water analyses, in situ ATP measurements, microbial cell counts, and measurements of methane content and its carbon isotope composition (d13C CH4) to identify components of and processes in the sediment. The multiple approaches indicated that volcanic materials in the catchment are important suppliers of iron, sulfur and phosphorus. These elements influence primary productivity and play a role in microbial metabolism during early diagenesis. Authigenic processes led to the formation of pyrite framboids and revealed sulfate reduction. Anaerobic oxidation of methane and shifts in pore water ion concentration indicated microbial influence with depth. This study documents the presence of active microbes within the sediments and their relationship to changing environmental conditions. It also illustrates the substantial role played by microbes in the formation of Laguna Potrok Aike concretions. Thus, authigenic minerals can be used as biosignatures in these late Pleistocene maar sediments.
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  • 5
    Publication Date: 2023-08-25
    Description: Surface air temperature measurements obtained from different sensors are used to construct a unique time series with one minute time-interval. Apart from differences in design and environmental exposition, periods of missing data also exist in the data series of each sensor. A primary data set was selected in terms of quality and temporal extension. A combination of two different techniques is applied to complete this data set: one is based on the autocorrelation of the series and the other on measurements taken from other sensors. The resulting values constitute a complete series of surface air temperature at AGGO.
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  • 6
    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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  • 7
    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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  • 8
    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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  • 9
    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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  • 10
    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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  • 11
    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.
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  • 12
    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.
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  • 13
    Publication Date: 2023-01-30
    Language: English
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  • 14
    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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  • 15
    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.
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  • 16
    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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  • 17
    Publication Date: 2023-01-30
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  • 18
    Publication Date: 2023-01-30
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  • 19
    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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  • 20
    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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  • 21
    Publication Date: 2023-01-30
    Language: English
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  • 22
    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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  • 23
    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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  • 24
    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).
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  • 25
    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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  • 26
    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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  • 27
    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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  • 28
    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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  • 29
    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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  • 30
    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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  • 31
    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.
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  • 32
    Publication Date: 2023-01-30
    Language: English
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  • 33
    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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  • 34
    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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  • 35
    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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  • 36
    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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  • 37
    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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  • 38
    Publication Date: 2024-01-19
    Description: Presented are analytical data from lacustrine sediment cores, retrieved from Lake Nam Co (Tibetan Plateau). The sediment core is a composite of one gravity core, taken with a Rumohr-Meischner gravity corer (63 mm diameter) and a piston core, retrieved using an uwitec piston coring system (http://www.uwitec.at; 90 mm diameter). The composite core labelled 〈NC 08/01〉 comprises a total length of 10.378 m. The cores were obtained at N 30.737417, E 090.790333 at a water depth of 93 m on 2008-09-15. The purpose of obtaining this sediment core was to establish a high-resolution record of climate (monsoonal) and environmental change using multiple proxy data. The dataset comprises analytical data based on sedimentological, inorganic geochemical, mineralogical and isotope-geochemical methods. Specifically: sediment water content & density; magnetic susceptibility; particel size data; quantitative inorganic geochemical data (ICP-OES aqua regia and HCL digestions); semi-quantitative XRF elemental data; carbon, nitrogen, sulfur contents; qualitative mineralogical data; bulk sediment stable carbon and oxygen isotope data.
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  • 39
    Publication Date: 2024-01-19
    Description: This data set is part of a larger data harmonization effort to make lake sediment core data machine readable and comparable. Here we standardized X-ray fluorescence line scanning (XRF)-based element data of sediment core EN18208, retrieved in 2018 from Lake Ilirney (Chukotka, Russia) at 10.76 m water depth. The glacial lake Ilirney is situated in the forest tundra mountain area and has one outflow, one main inflow and several smaller inflows. It lies at an elevation of ca. 428 m a.s.l. with a surface area of ca. 30 km2 and a maximum lake water depth of estimated 44 m. The 10.76 m sediment core was retrieved by a UWITEC piston corer during the RU-Land_2018_Chukotka expedition of the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI, Germany, Potsdam) in cooperation with the North Eastern Federal State University (NEFU, Russia, Yakutsk). The downcore elemental composition was measured using an AVAATECH x-ray fluorescence core scanner at Bundesanstalt für Geowissenschaften und Rohstoffe (BGR) in Berlin, Spandau.
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  • 40
    Publication Date: 2024-01-19
    Description: This data set is part of a larger data harmonization effort to make lake sediment core data machine readable and comparable. Here we standardized radiocarbon and OSL age data of sediment core EN18208, retrieved in 2018 from Lake Ilirney (Chukotka, Russia) at 10.76 m water depth. The glacial lake Ilirney is situated in the forest tundra mountain area and has one outflow, one main inflow and several smaller inflows. It lies at an elevation of ca. 428 m a.s.l. with a surface area of ca. 30 km2 and a maximum lake water depth of estimated 44 m. The 10.76 m sediment core was retrieved by a UWITEC piston corer during the RU-Land_2018_Chukotka expedition of the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI, Germany, Potsdam) in cooperation with the North Eastern Federal State University (NEFU, Russia, Yakutsk). Radiocarbon data have been analysed from bulk sediment samples in Bremerhaven at the MICADAS laboratory. Optically stimulated luminescence (OSL) dating was performed at the Royal Holloway Luminescence Laboratory using a Risø TL/OSL-DA-15 automated dating system.
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  • 41
    Publication Date: 2024-01-19
    Description: A 25-cm long predominantly aragonite stalagmite was collected November 2, 2005 from Dharamjali Cave (29.5°N, 80.2°E) in the central Himalayas. This dataset contains stable isotope, trace element, XRF, U/Th dating, and dripwater data. The age model spans 4.2 to 2.3 ka BP, and the dataset records seasonal shifts in hydroclimate from 4.2 to 3.1 ka BP. Using the DHAR-1A half of the speleothem, 750 samples were milled at 100–300 µm resolution for stable isotope analysis (δ18O and δ13C) and analyzed at GFZ Potsdam. Further high-resolution stable isotope analysis at the University of Cambridge included 876 samples from the bottom 4 cm of the mirroring slab DHAR-1B, covering c. 4.2–3.6 ka BP. The δ44/40Ca measurements were made on 60 aragonite samples of aragonite and 1 calcite sample milled between 4.2 and 2.8 ka BP. The elemental composition of DHAR-1B was determined first with an Avaatech XRF scanner at the University of Cambridge, and later using laser ablation inductively-coupled plasma mass spectrometry (LA-ICP-MS) at the University of Waikato. U-series dating was performed at Caltech on 22 samples. Twelve U-series ages (between 2.55 and 4.14 ka BP) were used to construct the age models, using ensembles of 2000 Monte Carlo simulations for each proxy using the MATLAB-based COPRA script (Breitenbach et al., 2012, https://doi.org/10.5194/cp-8-1765-2012).
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  • 42
    Publication Date: 2024-01-19
    Description: This data set is part of a larger data harmonization effort to make lake sediment core data machine readable and comparable. Here we standardized grain size element data of sediment core EN18208, retrieved in 2018 from Lake Ilirney (Chukotka, Russia) at 10.76 m water depth. The glacial lake Ilirney is situated in the forest tundra mountain area and has one outflow, one main inflow and several smaller inflows. It lies at an elevation of ca. 428 m a.s.l. with a surface area of ca. 30 km2 and a maximum lake water depth of estimated 44 m. The 10.76 m sediment core was retrieved by a UWITEC piston corer during the RU-Land_2018_Chukotka expedition of the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI, Germany, Potsdam) in cooperation with the North Eastern Federal State University (NEFU, Russia, Yakutsk). Grain-size was measured using a Malvern Mastersizer 3000 laser diffraction particle analyser.
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  • 43
    Publication Date: 2024-01-19
    Description: This data set is part of a larger data harmonization effort to make lake sediment core data machine readable and comparable. Here we standardized mineral data of sediment core EN18208, retrieved in 2018 from Lake Ilirney (Chukotka, Russia) at 10.76 m water depth. The glacial lake Ilirney is situated in the forest tundra mountain area and has one outflow, one main inflow and several smaller inflows. It lies at an elevation of ca. 428 m a.s.l. with a surface area of ca. 30 km2 and a maximum lake water depth of estimated 44 m. The 10.76 m sediment core was retrieved by a UWITEC piston corer during the RU-Land_2018_Chukotka expedition of the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI, Germany, Potsdam) in cooperation with the North Eastern Federal State University (NEFU, Russia, Yakutsk). Bulk mineralogy was analysed by (x-ray diffractometry (XRD) using a (PHILIPS, Netherlands) PW1820 goniometer.
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  • 44
    Publication Date: 2024-01-19
    Description: This data set is part of a larger data harmonization effort to make lake sediment core data machine readable and comparable. Here we standardized radiocarbon and OSL age data of sediment core EN18208, retrieved in 2018 from Lake Ilirney (Chukotka, Russia) at 10.76 m water depth. The glacial lake Ilirney is situated in the forest tundra mountain area and has one outflow, one main inflow and several smaller inflows. It lies at an elevation of ca. 428 m a.s.l. with a surface area of ca. 30 km2 and a maximum lake water depth of estimated 44 m. The 10.76 m sediment core was retrieved by a UWITEC piston corer during the RU-Land_2018_Chukotka expedition of the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI, Germany, Potsdam) in cooperation with the North Eastern Federal State University (NEFU, Russia, Yakutsk). Water content and organic matter was analysed at AWI Potsdam. Dried and milled samples were analysed using a Vario EL III carbon-nitrogen-sulphur analyser. Organic carbon content was determined using a Vario MAX C analyser.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 45
    Publication Date: 2023-09-18
    Description: Surface air temperature measurements obtained from different sensors are used to construct a unique time series with one minute time-interval. Apart from differences in design and environmental exposition, periods of missing data also exist in the data series of each sensor. A primary data set was selected in terms of quality and temporal extension. A combination of two different techniques is applied to complete this data set: one is based on the autocorrelation of the series and the other on measurements taken from other sensors. The resulting values constitute a complete series of surface air temperature at AGGO.
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  • 46
    Publication Date: 2024-01-24
    Description: This dataset contain stable isotope values for water samples collected ~weekly from the Rio Bermejo at the Lavalle bridge (-25.6513, -60.1277) from March 2016 to February 2018. Water samples were filtered to 0.2 micron using a custom filtration device. We measured d2H and d18O on a Picarro L-2140i Cavity Ring-Down Spectrometer at the GFZ Potsdam. Measurements were made in duplicate, normalized to the Vienna Standard Mean Ocean Water (VSMOW), and analytical uncertainty is reported as one standard deviation from the mean. River discharge was measured at the El Colorado gauging station, which is ~100 km down slope from the sampling location.
    Language: English
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  • 47
    Publication Date: 2024-01-24
    Description: This dataset provides the geochemistry data for the Holocene sediment sequence retrieved from Lake Uddelermeer (The Netherlands) in 2012. Additionally, alkane concentrations for a set of modern leaf samples are provided. Concentrations of fossil alkanes, GDGTs as well as elemental (C, N, S, H) and compound-specific delta Deuterium measurements are presented against both depth (cm) and age (cal yr. BP). A total of 59 samples were analysed. Modern leaf alkane concentrations are presented as concentrations, 10 samples were analysed. The geochemical data provides information about regional vegetation change as well as changes in effective precipitation. It was produced to inform on the age and duration of major environmental transitions during the middle and late Holocene. Cores were retrieved from the lake using a 3-m long handheld piston corer deployed from a floating coring platform during field work in April and May 2012. Samples were obtained from splits of the core and processed in the laboratory of the University of Amsterdam (the Netherlands) using standard protocols (CNHS, alkane concentrations), the laboratory of Utrecht University (the Netherlands; GDGT concentrations) and at GFZ Potsdam (Germany; delta Deuterium). Name of the Campaign: UDD Event Label: UDD-E Method: Uwitec piston corer Latitude: 52.24652778 Longitude: 5.76097222 Elevation: 24m asl Date/Time of event: 2012-05-01T14:00:00 Further information about event: Lake sediment sequence retrieved using a 60 mm piston corer deployed from a floating platform.
    Language: English
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  • 48
    Publication Date: 2024-01-24
    Description: Water samples were filtered to 0.2 micron prior to measurement. Samples for cation analysis were acidified in the field to pH 〈 2 using 6N HNO3. Cation concentrations were measured with a Varian 720 inductively coupled plasma optical emission spectrometer (ICP-OES) at the GFZ Helmholtz Laboratory for the Geochemistry of the Earth Surface (HELGES), using SLRS-5 (Saint-Laurent River Surface, National Research Council - Conseil National de Recherches Canada) and USGS M212 and USGS T187 as external standards. We corrected for instrument drift by measuring an internal standard (GFZ-RW1) every 10 samples and we determined measurement uncertainty using calibration curve uncertainty. Anion concentrations were measured with a Dionex ICS1100 Ion Chromatograph, using USGS standards M206 and M212 as external standards for quality control, with uncertainty determined from triplicate analysis. We corrected cation concentrations for cyclic salt inputs following Bickle et al. (2005, doi:10.1016/j.gca.2004.11.019).
    Language: English
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  • 49
    Publication Date: 2024-04-11
    Description: This dataset reports measurements from a laboratory incubation of soils sourced from a boreal peatland and surrounding habitats (Siikaneva Bog, Finland). In August 2021, soil cores were collected from three habitat zones: a well-drained upland forest, an intermediate margin ecotone, and a Sphagnum moss bog. The cores from each habitat were taken from surface to approximately 50cm below surface using an Eijelkamp peat corer and subdivided by soil horizon. The samples were then incubated anaerobically for 140 days in three temperature treatment groups (0, 4, 20°C). Subsamples of the incubations headspace (250 µL) were measured on a gas chromatograph (7890A, Agilent Technologies, USA) with flame ionization detection (FID) for CO2 and CH4 concentrations. The rate of respiration from the samples were calculated per gram carbon and per gram soil as described in the method of Robertson., et al. (1999) and reported here, along with other relevant parameters.
    Language: English
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  • 50
  • 51
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    In:  Supplement to: Walther, Kathleen; Sartoris, Franz-Josef; Pörtner, Hans-Otto (2011): Impacts of temperature and acidification on larval calcium incorporation of the spider crab Hyas araneus from different latitudes (54° vs. 79°N). Marine Biology, 158(9), 2043-2053, https://doi.org/10.1007/s00227-011-1711-x
    Publication Date: 2023-03-16
    Description: The combined effects of ocean warming and acidification were compared in larvae from two popula- tions of the cold-eurythermal spider crab Hyas araneus, from one of its southernmost populations (around Helgo- land, southern North Sea, 54°N, habitat temperature 3-18°C; collection: January 2008, hatch: January-February 2008) and from one of its northernmost populations (Svalbard, North Atlantic, 79°N, habitat temperature 0-6°C; collection: July 2008, hatch: February-April 2009). Larvae were exposed to temperatures of 3, 9 and 15°C combined with present-day normocapnic (380 ppm CO2) and projected future CO2 concentrations (710 and 3,000 ppm CO2). Calcium content of whole larvae was measured in freshly hatched Zoea I and after 3, 7 and 14 days during the Megalopa stage. Significant differences between Helgoland and Svalbard Megalopae were observed at all investigated temperatures and CO2 condi- tions. Under 380 ppm CO2, the calcium content increased with rising temperature and age of the larvae. At 3 and 9°C, Helgoland Megalopae accumulated more calcium than Svalbard Megalopae. Elevated CO2 levels, especially 3,000 ppm, caused a reduction in larval calcium contents at 3 and 9°C in both populations. This effect set in early, at 710 ppm CO2 only in Svalbard Megalopae at 9°C. Fur- thermore, at 3 and 9°C Megalopae from Helgoland replenished their calcium content to normocapnic levels and more rapidly than Svalbard Megalopae. However, Svalbard Megalopae displayed higher calcium contents under 3,000 ppm CO2 at 15°C. The findings of a lower capacity for calcium incorporation in crab larvae living at the cold end of their distribution range suggests that they might be more sensitive to ocean acidification than those in temperate regions.
    Keywords: Animalia; Arctic; Arthropoda; AWI_EcolChem; BIOACID; Biological Impacts of Ocean Acidification; Bottles or small containers/Aquaria (〈20 L); Calcification/Dissolution; Coast and continental shelf; Ecological Chemistry @ AWI; EPOCA; EUR-OCEANS; European network of excellence for Ocean Ecosystems Analysis; European Project on Ocean Acidification; Hyas araneus; Laboratory experiment; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Pelagos; Polar; Single species; Temperate; Temperature; Zooplankton
    Type: Dataset
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  • 52
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    In:  Supplement to: Kravchishina, Marina D; Lisitzin, Alexander P (2011): Grain-size composition of the suspended particulate matter in the marginal filter of the Severnaya Dvina River. Translated from Okeanologiya, 2011, 51(1), 94-109, Oceanology, 51(1), 89-104, https://doi.org/10.1134/S0001437011010097
    Publication Date: 2023-03-16
    Description: Quantitative distribution and grain size composition of suspended particulate matter (SPM) in the marginal filter of the North (Severnaya) Dvina River during summer low water periods of 2001-2005 were analyzed in water on board immediately after sampling (without preliminary treatment) using a Coulter counter. This analysis revealed main regularities in transformation of grain size spectra at successive salinity steps of the marginal filter, as well as boundaries between these steps based on data obtained by direct complex studies of SPM dispersion. It is established that water salinity is the main factor that controls changes in grain size distribution and composition of suspended matter in the marginal filter. Concentrations of 〈0.01 mm size fraction and salinity demonstrate negative correlations between each other. It is shown that areas characterized by mass development of phytoplankton are located along the outer boundary of the marginal filter (at the biological step), where salinity reaches 23-24 psu. Contents of particulate forms of some chemical (lithogenic) elements and organic carbon indicating genetic composition of SPM and their relations with grain size composition of SPM are studied.
    Keywords: Archive of Ocean Data; ARCOD; Bottle, Niskin; Bucket, plastic; IPE-57-1; IPE-57-13; IPE-57-15; IPE-57-17; IPE-57-19; IPE-57-2; IPE-57-22; IPE-57-26; IPE-57-5; IPE-57-9; KL-11rk; KL-14rk; KL-2rk; KL-5rk; KL-7rk; KL-9rk; KL-MF-1; KL-MF-12; KL-MF-13; KL-MF-14; KL-MF-15; KL-MF-16; KL-MF-17; KL-MF-18; KL-MF-19; KL-MF-20; KL-P-2; NIS; North Dvina mouth area; Professor Shtokman; PSh-4921; PSh-6401; PSh71; PSh-7109; PSh-7111; PSh-7112; PSh-7115; PSh-7116; PSh-7120; WB; White Sea
    Type: Dataset
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  • 53
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    In:  Supplement to: Goroslavskaya, E I; Galkin, Sergey V (2011): Benthic fauna associated with mussel beds and shrimp swarms at hydrothermal fields on the Mid-Atlantic Ridge. Translated from Okeanologiya, 2011, 51(1), 74-84, Oceanology, 51(1), 69-79, https://doi.org/10.1134/S0001437011010048
    Publication Date: 2023-03-16
    Description: Macrofaunal assemblages with prevalence of Bresiliidae shrimps and Mytilidae mussels are abundant in at hydrothermal vents along the Mid-Atlantic Ridge. Mussels inhabit zones of diffuse seeps of hydrothermal fluids with temperature abnormalities up to several degrees. Shrimps inhabit an extreme biotope in a mixed interface between seawater and hydrothermal fluids at temperature up to 20-30°C. We studied the mussel and shrimp assemblages in three hydrothermal vent fields: Rainbow, Broken Spur, and Snake Pit. Species richness of the mussel assemblages within at least two fields (Broken Spur and Snake Pit) is higher as compared with shrimps from the same hydrothermal vent fields. Fauna inhibiting shrimp swarms lack almost any taxa specific for particular assemblages: almost all the taxa are also present in the mussel beds. Structure of the shrimp assemblage is less homogeneous as compared with that of the mussel assemblage. Population prevalence of one taxon (Copepoda) in the shrimp assemblage is most likely connected with extreme and unstable conditions of the biotope occupied by the shrimps in a hydrothermal field. Taxonomic similarity between the mussel and shrimp assemblages within one hydrothermal vent field is higher as compared with similarity between the mussel (or shrimp) assemblages from different fields.
    Keywords: Akademik Mstislav Keldysh; AMK47; AMK47-4327-1; AMK47-4330-1; AMK47-4330-2; AMK47-4332-2; AMK47-4349-1; AMK47-4358-1; AMK47-4392-2; AMK47-4393-1; AMK47-4393-2; AMK47-4393-3; AMK47-4399-1; AMK47-4402-1; AMK47-4749-2; AMK49; AMK49-4611-1; AMK49-4611-2; AMK49-4611-3; AMK49-4611-4; AMK49-4611-5; AMK50; AMK50-4793-1; AMK50-4797-1; AMK50-4797-4; AMK50-4797-5; AMK50-4797-6; AMK50-4812-1; AMK50-4812-4; AMK50-4819-10; AMK50-4819-12; AMK50-4819-17; AMK50-4819-8; Archive of Ocean Data; ARCOD; Broken Spur Hydrothermal Field; Broken Srur Hydrothermal Field; Broken Srur Hydrothermal Field, K point mound; MIR; MIR deep-sea manned submersible; Rainbow Hydrothermal Field; Snake Pit Hydrothermal Field; Snake Pit Hydrothermal Field, Beehive mound
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 54
    Publication Date: 2023-03-16
    Description: Various physical properties of snow and sea ice were measured during ice stations in the Western Weddell Sea, Antarctic, during the POLARSTERN cruise ANT-XXIII/7 (WWOS) in 2006. Most stations were reached via a gangway directly from the vessels others by helicopter. All vertical positions are corrected to freeboard, e.g. z=0 represents the snow-ice interface. More detailed information about the data sets and methods are available from the cruise report (section 4 sea-ice physics).
    Keywords: ANT-XXIII/7; ANT-XXIII/7_597-HELI; ANT-XXIII/7_598-HELI; Atlantic Ocean; HELI; Helicopter; ICE; Ice station; Polarstern; PS69/542-2; PS69/543-1; PS69/545-2; PS69/549-2; PS69/551-2; PS69/551-3; PS69/554-2; PS69/556-1; PS69/558-1; PS69/561-2; PS69/564-1; PS69/565-1; PS69/567-4; PS69/568-1; PS69/568-4; PS69/571-1; PS69/573-1; PS69/575-1; PS69/577-1; PS69/578-1; PS69/579-1; PS69/580-1; PS69/584-1; PS69/585-1; PS69/586-1; PS69 WWOS; Scotia Sea, southwest Atlantic; Weddell Sea; WS-1; WS-10; WS-11; WS-12; WS-13; WS-17; WS-18; WS-19; WS-2; WS-21; WS-22; WS-4; WS-5; WS-6; WS-7; WS-8
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 55
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    In:  Supplement to: Nemirovskaya, Inna A; Chemyavskii, N G (2011): Studies of hydrocarbons in the waters and snow-ice cover of the southeast sector of the Antarctic. Translated from Okeanologiya, 2011, 51(1), 5-15, Oceanology, 51(1), 4-14, https://doi.org/10.1134/S0001437011010139
    Publication Date: 2023-03-16
    Description: Data are presented on concentration of hydrocarbons (HC) relative to concentrations of suspended matter, lipids, organic carbon, and chlorophyll a in surface waters and snow-ice cover of the East Antarctic coastal areas. It was shown that growth of concentrations of aliphatic HC (AHC) to 30 µg/l in surface waters takes place in frontal zones and under young ice formation. AHC concentration in snow increases with growth of aerosol concentration in the atmosphere. In the lower part of ice, at the boundary with seawater, despite low temperatures, autochthonous processes may provide high AHC concentrations (up to 289 µg/l). Within the snow-ice cover on fast ice, concentration co-variations of all the compounds considered take place.
    Keywords: AF2008-NLS; Akademik Mstislav Keldysh; AMK50; Archive of Ocean Data; ARCOD; DruzhnSt-2008; MirnySt-2008; Mirny Station; MULT; Multiple investigations; ProgrSt-2008; Prydz Bay, Collaboration Sea; Southern Ocean - Atlantic Sector
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 56
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    In:  Supplement to: Kosyan, A R; Kucheruk, Nikita V; Flint, Mikhail V (2012): Role of bivalve mollusks in the sediment balance of the Anapa Bay Bar. Translated from Okeanologiya, 2012, 52(1), 78-84, Oceanology, 52(1), 72-78, https://doi.org/10.1134/S0001437012010122
    Publication Date: 2023-03-16
    Description: Sandy beaches of the Anapa Bay Bar are a unique natural resource, but they are gradually being degrade under both natural and anthropogenic factors. Emissions of sand and shelly ground from the adjacent sea bottom partly compensate for this process. Concentration of carbonates may reach up to 50% in beach sands, and most of these carbonates are of mollusk origin. The major deposit formation role belongs to the key bivalve species: Chamelea gallina (Linnaeus, 1758). Average biomass of this mollusk species reaches up to 450 g/m**2 at depths 5-10 m. The other two subdominating mollusk species, bivalve Donax trunculus (Linnaeus, 1758) and gastropod Rapana venosa (Valenciennes, 1846), may impact as 16 g/m**2 and 6 g/m**2, respectively. Annually, 350 kg of shelly ground per running meter are newly deposited on the Anapa beach.
    Keywords: Archive of Ocean Data; ARCOD; Black Sea; KKF12-1; KKF12-2; KKF12-3; KKF12-4; KKF12-5; KKF12-6; KKF12-7; KKF12-8
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 57
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    In:  P.P. Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow | Supplement to: Lukashin, Vyacheslav N; Demina, Lyudmila L; Gordeev, Viacheslav V; Gordeev, Vladimir Yu (2012): The geochemistry of deepwater particulate matter over the hydrothermal field at 9°50'N (the East Pacific Rise). Translated from Okeanologiya, 2012, 52(2), 292-305, Oceanology, 52(2), 271-283, https://doi.org/10.1134/S0001437012010146
    Publication Date: 2023-03-16
    Description: Results of geochemical studies of suspended matter from the water mass over the hydrothermal field at 9°50'N on the East Pacific Rise are reported. The suspended matter was sampled in background waters, in the buoyant plume, and in the near-bottom waters. Contents of Si, Al, P, Corg, Fe, Mn, Cu, Zn, Ni, Co, As, Cr, Cd, Pb, Ag, and Hg were determined. No definite correlations were found between the elements in the background waters. Many of the chemical elements correlated with Fe and associated with its oxyhydroxides in the buoyant plume. In the near-bottom waters trace elements are associated with Fe, Zn, and Cu (probably, with their sulfides formed during mixing of hydrothermal fluids with seawater). Chemical composition of sediment matter precipitated in a sediment trap was similar to the near-bottom suspended matter.
    Keywords: Archive of Ocean Data; ARCOD
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    Format: application/zip, 5 datasets
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  • 58
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    In:  Supplement to: Lein, Alla Yu; Kravchishina, Marina D; Politova, Nadezhda V; Savvichev, Alexander S; Veslopolova, E F; Mitskevich, Irina N; Ul'yanova, Nina V; Shevchenko, Vladimir P; Ivanov, Mikhail V (2012): Transformation of particulate organic matter at the water-bottom boundary in the Russian Arctic seas: Evidence from isotope and radioisotope data. Translated from Litologiya i Poleznye Iskopaemye, 2012, 2, 115-145, Lithology and Mineral Resources, 47(2), 99-128, https://doi.org/10.1134/S0024490212020034
    Publication Date: 2023-03-16
    Description: Comprehensive biogeochemical studies including determination of isotopic composition of organic carbon in both suspended matter and surface layer (0-1 cm) bottom sediments (more than 260 determinations of d13C-Corg) were carried out for five Arctic shelf seas: White, Barents, Kara, East Siberian, and Chukchi Seas. The aim of this study is to elucidate causes that change isotopic composition of particulate organic carbon at the water-sediment boundary. It is shown that isotopic composition of organic carbon in sediments from seas with high river run-off (White, Kara, and East Siberian Seas) does not inherit isotopic composition of organic carbon in particles precipitating from the water column, but is enriched in 13C. Seas with low river run-off (Barents and Chukchi Seas) show insignificant difference between d13C-Corg values in both suspended load and sediments because of low content of isotopically light allochthonous organic matter in suspended matter. Biogeochemical studies with radioisotope tracers (14CO2, 35S, and 14CH4) revealed existence of specific microbial filter formed from heterotrophic and autotrophic organisms at the water-sediment boundary. This filter prevents mass influx of products of organic matter decomposition into the water column, as well as reduces influx of OM contained in suspended matter from water into sediments.
    Keywords: Archive of Ocean Data; ARCOD
    Type: Dataset
    Format: application/zip, 23 datasets
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  • 59
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    In:  Supplement to: Möller, Lars; Sowers, Todd A; Bock, Michael; Spahni, Renato; Behrens, Melanie; Schmitt, Jochen; Miller, Heinz; Fischer, Hubertus (2013): Independent variations of CH4 emissions and isotopic composition over the past 160,000 years. Nature Geoscience, 6, 885-890, https://doi.org/10.1038/ngeo1922
    Publication Date: 2023-03-16
    Description: The response of natural CH4 sources to climate changes will be an important factor to consider as concentrations of this potent greenhouse gas continue to increase. Polar ice cores provide the means to assess this sensitivity in the past and have shown a close connection between CH4 levels and northern hemisphere temperature variability over the last glacial cycle. However, the contribution of the various CH4 sources and sinks to these changes is still a matter of debate. Contemporaneous stable CH4 isotope records in ice cores provide additional boundary conditions for assessing changes in the CH4 sources and sinks. Here we present new ice core CH4 isotope data covering the last 160,000 years, showing a clear decoupling between CH4 loading and carbon isotopic variations over most of the record. We suggest that d13CH4 variations were not dominated by a change in the source mix but rather by climate- and CO2-related ecosystem control on the isotopic composition of the methane precursor material, especially in seasonally inundated wetlands in the tropics. In contrast, relatively stable d13CH4 intervals occurred during large CH4 loading changes concurrently with past climate changes implying that most CH4 sources (most notably tropical wetlands) responded simultaneously.
    Keywords: EPICA; European Project for Ice Coring in Antarctica
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    Format: application/zip, 5 datasets
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  • 60
    Publication Date: 2023-03-16
    Description: Data underlying figures 1, 2, 3 and 5. Figure 1: Monthly mass changes of the Greenland Ice Sheet from GRACE/GRACE-FO and SMB-D (2003-2019) Figure 2: Biennial mass balance and its components from GRACE/GRACE-FO and SMB-D (2003-2018) for the Greenland Ice Sheet, along with regional estimates for 2017-2018 for East and West. Figure 3: Rate of mass change for year 2019 from GRACE/GRACE-FO and SMB-D Figure 5: Annual mass balance and its main components from SMB-D (1948-2019) and GRACE/GRACE-FO (2003-2019)
    Keywords: GRACE; GRACE-FO; Greenland; Helmholtz-Verbund Regionale Klimaänderungen = Helmholtz Climate Initiative (Regional Climate Change); ice dynamic discharge; ice sheet mass balance; REKLIM; sea-level rise; surface mass balance
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 61
    Publication Date: 2023-03-16
    Description: Here, we provide the raw pollen data archived in three Siberian lake sediment cores spanning the mid-Holocene to the present (7.6-0 cal ka BP), from northern typical tundra to southern open larch forest in the Omoloy region. There are three cores: 1. 14-OM-20B, Lat. / °: 70.53, Lon. / °: 132.91, Ele. / m a.s.l.: 52, Modern vegetation: open larch forest, Lake area / km2: 0.26, Maximal depth / m: 3.4 2. 14-OM-02B, Lat. / °: 70.72, Lon. / °: 132.67, Ele. / m a.s.l.: 58, Modern vegetation: forest tundra, Lake area / km2: 0.08, Maximal depth / m: 3.5 3. 14-OM-12A, Lat. / °: 70.96, Lon. / °: 132.57, Ele. / m a.s.l.: 60, Modern vegetation: tundra, Lake area / km2: 0.09, Maximal depth / m: 4.5 Three lake sediment cores, 14OM12A (33 cm long), 14OM02B (49.5 cm long) and 14OM20B (86 cm long), were recovered from three sites using a UWITEC gravity corer (6 cm internal diameter) equipped with a hammer tool in July 2014. From the three cores, 16 bulk organic carbon samples were selected because of the lack of macrofossil remains and radiocarbon dated using accelerator mass spectrometry (AMS) at Poznań radiocarbon laboratory of Adam Mickiewicz University, Poland. In addition, 30 freeze-dried samples per core at 0.25 or 0.5 cm intervals between 0 and 15 cm were analysed for 210Pb/137Cs at the Liverpool University Environmental Radioactivity Laboratory. In this project, we analyse pollen and sedaDNA (Liu et al., 2020; doi:10.5061/dryad.69p8cz900) from three lake sediment cores from the Omoloy region in north-eastern Siberia (northern Yakutia), which are currently surrounded by different vegetation types ranging from typical tundra to open larch forest. First, our aim is to compare sedaDNA with the pollen data to see whether both methods track the same pattern with respect to compositional changes and diversity changes across the northern Russian treeline zone or are complementary to each other. Second, we reconstruct the mid- to late-Holocene changes of vegetation composition along a north–south transect. Third, we use the sedaDNA data to reconstruct variations in species richness and relate this to vegetation and climate change.
    Keywords: AWI_Envi; dating; Lake Omoloy; mid-holocene; north-eastern Siberia; Polar Terrestrial Environmental Systems @ AWI; Pollen
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  • 62
    Publication Date: 2023-03-16
    Description: Understanding the resilience of African savannas to global change requires quantitative information on long-term vegetation dynamics. Here we present a reconstruction of past vegetation cover of the northern Namibian savanna obtained after applying the REVEALS model to fossil pollen data from Lake Otjikoto. We also present modern pollen and vegetation data used to calculate pollen productivity estimates for the major Namibian savanna taxa Acacia (Senegalia, Vachellia), Combretaceae, Dichrostachys, Grewia and Poaceae. Data were collected at 10 sites along a rainfall gradient in north central Namibia. Modern pollen was extracted from soil samples collected from plots at the different sites. Vegetation data were extracted from satellite images covering a 1.5 km radius from the plots where pollen was collected. The mean cover of the studied taxa was calculated by 100 m rings.
    Keywords: AWI_Envi; modern pollen; Polar Terrestrial Environmental Systems @ AWI; Pollen productivity estimate; REVEALS; Vegetation Mapping
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    Format: application/zip, 3 datasets
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  • 63
    Publication Date: 2023-03-17
    Description: The Late Holocene is a substantial cultural and economic transition in the eastern Eurasian Steppe and Altai Region, but paleoclimate conditions during this time remain unclear. Therefore, we established a high-resolution paleoclimate record from Lake Khar Nuur in the Mongolian Altai, spanning the last 4200 years. Lake Khar Nuur is a high-altitude lake with a small catchment located at 2,486 m a.s.l. (48°37'22.9"N, 88°56'42.5"E). We recovered the sediment core (that we abbreviate KN18) from the deepest part of the lake (49.4 m) in July 2018 using an Uwitec gravity corer. Within the sediment core KN18, a wide array of lake sediment proxies was measured. While total organic carbon (TOC), total nitrogen, bulk δ^13^C~TOC~, δ^15^N and biogenic silica were measured in 2 cm resolution, the elemental composition (log (Ca/Ti) ratio) was measured in 0.5 cm resolution. Additionally, compound-specific hydrogen isotopic composition of _n_-alkanes was measured in 1 cm resolution.
    Keywords: Altai region; compound-specific biomarker isotopes; lake sediments; Late Holocene; Paleoclimate
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 64
    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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  • 65
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Argos; Argos03/2; Argos03/2_045; Argos03/2_046; Argos03/2_052; Argos03/2_053; Argos03/2_056; Argos03/2_064; Argos03/2_067; Argos03/2_068; Argos03/2_076; Argos03/2_078; Argos03/2_079; Argos03/2_080; Argos03/2_081; Argos03/2_089; Argos03/2_090; Argos03/2_091; Argos03/2_092; Argos03/2_093; Argos03/2_100; Argos03/2_102; Argos03/2_103; Argos03/2_104; Argos03/2_111; Argos03/2_112; Argos03/2_113; Argos03/2_114; Argos03/2_117; Argos03/2_122; Argos03/2_124; Argos03/2_134; Argos03/2_135; Argos03/2_136; Argos03/2_137; Argos03/2_138; Argos03/2_143; Argos03/2_144; Argos03/2_145; Argos03/2_148; Argos03/2_156; Argos03/2_158; Argos03/2_160; Argos03/2_161; Argos03/2_162; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, total; Oxygen; pH; Phosphate; Phosphorus, total; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 2956 data points
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  • 66
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Argos; Argos06/2; Argos06/2_043; Argos06/2_044; Argos06/2_045; Argos06/2_047; Argos06/2_048; Argos06/2_049; Argos06/2_055; Argos06/2_057; Argos06/2_058; Argos06/2_066; Argos06/2_068; Argos06/2_069; Argos06/2_070; Argos06/2_079; Argos06/2_080; Argos06/2_081; Argos06/2_082; Argos06/2_083; Argos06/2_089; Argos06/2_090; Argos06/2_091; Argos06/2_092; Argos06/2_093; Argos06/2_100; Argos06/2_101; Argos06/2_102; Argos06/2_103; Argos06/2_111; Argos06/2_112; Argos06/2_113; Argos06/2_115; Argos06/2_116; Argos06/2_121; Argos06/2_122; Argos06/2_123; Argos06/2_124; Argos06/2_125; Argos06/2_131; Argos06/2_132; Argos06/2_133; Argos06/2_134; Argos06/2_137; Argos06/2_139; Argos06/2_140; Argos06/2_141; Argos06/2_142; Argos06/2_143; Argos06/2_144; Argos06/2_145; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, total; Oxygen; pH; Phosphate; Phosphorus, total; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water; The Sound
    Type: Dataset
    Format: text/tab-separated-values, 3064 data points
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  • 67
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Argos; Argos05/2; Argos05/2_044; Argos05/2_046; Argos05/2_053; Argos05/2_055; Argos05/2_056; Argos05/2_057; Argos05/2_065; Argos05/2_066; Argos05/2_067; Argos05/2_068; Argos05/2_069; Argos05/2_072; Argos05/2_073; Argos05/2_074; Argos05/2_075; Argos05/2_076; Argos05/2_077; Argos05/2_078; Argos05/2_079; Argos05/2_081; Argos05/2_082; Argos05/2_086; Argos05/2_087; Argos05/2_089; Argos05/2_090; Argos05/2_095; Argos05/2_096; Argos05/2_097; Argos05/2_098; Argos05/2_100; Argos05/2_104; Argos05/2_105; Argos05/2_106; Argos05/2_107; Argos05/2_110; Argos05/2_113; Argos05/2_114; Argos05/2_115; Argos05/2_116; Argos05/2_117; Argos05/2_118; Argos05/2_119; Argos05/2_124; Argos05/2_126; Argos05/2_127; Argos05/2_128; Argos05/2_134; Argos05/2_136; Argos05/2_139; Argos05/2_140; Argos05/2_145; Argos05/2_146; Argos05/2_147; Argos05/2_148; Argos05/2_149; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, total; North Sea; Oxygen; pH; Phosphate; Phosphorus, total; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water; The Sound
    Type: Dataset
    Format: text/tab-separated-values, 3104 data points
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  • 68
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Argos; Argos07/1; Argos07/1_038; Argos07/1_039; Argos07/1_040; Argos07/1_047; Argos07/1_049; Argos07/1_050; Argos07/1_051; Argos07/1_058; Argos07/1_060; Argos07/1_061; Argos07/1_062; Argos07/1_068; Argos07/1_070; Argos07/1_071; Argos07/1_073; Argos07/1_076; Argos07/1_078; Argos07/1_079; Argos07/1_080; Argos07/1_081; Argos07/1_082; Argos07/1_090; Argos07/1_091; Argos07/1_092; Argos07/1_098; Argos07/1_100; Argos07/1_101; Argos07/1_102; Argos07/1_103; Argos07/1_104; Argos07/1_105; Argos07/1_106; Argos07/1_114; Argos07/1_115; Argos07/1_116; Argos07/1_117; Argos07/1_118; Argos07/1_122; Argos07/1_125; Argos07/1_126; Argos07/1_127; Argos07/1_128; Argos07/1_129; Argos07/1_130; Argos07/1_137; Argos07/1_139; Argos07/1_140; Argos07/1_141; Argos07/1_142; Argos07/1_148; Argos07/1_150; Argos07/1_151; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, total; Oxygen; pH; Phosphate; Phosphorus, total; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water; The Sound
    Type: Dataset
    Format: text/tab-separated-values, 3315 data points
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  • 69
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Argos; Argos08/2; Argos08/2_048; Argos08/2_049; Argos08/2_050; Argos08/2_052; Argos08/2_059; Argos08/2_061; Argos08/2_062; Argos08/2_063; Argos08/2_066; Argos08/2_069; Argos08/2_072; Argos08/2_073; Argos08/2_074; Argos08/2_075; Argos08/2_080; Argos08/2_081; Argos08/2_082; Argos08/2_083; Argos08/2_089; Argos08/2_091; Argos08/2_092; Argos08/2_093; Argos08/2_100; Argos08/2_101; Argos08/2_102; Argos08/2_103; Argos08/2_104; Argos08/2_107; Argos08/2_111; Argos08/2_112; Argos08/2_113; Argos08/2_114; Argos08/2_115; Argos08/2_116; Argos08/2_117; Argos08/2_118; Argos08/2_119; Argos08/2_124; Argos08/2_125; Argos08/2_127; Argos08/2_128; Argos08/2_129; Argos08/2_132; Argos08/2_133; Argos08/2_134; Argos08/2_135; Argos08/2_137; Argos08/2_144; Argos08/2_145; Argos08/2_146; Argos08/2_147; Argos08/2_148; Argos08/2_149; Argos08/2_150; Argos08/2_151; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, total; Oxygen; pH; Phosphate; Phosphorus, total; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water; The Sound
    Type: Dataset
    Format: text/tab-separated-values, 3611 data points
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  • 70
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Argos; Argos09/2; Argos09/2_043; Argos09/2_044; Argos09/2_049; Argos09/2_051; Argos09/2_052; Argos09/2_053; Argos09/2_060; Argos09/2_062; Argos09/2_063; Argos09/2_064; Argos09/2_071; Argos09/2_072; Argos09/2_073; Argos09/2_074; Argos09/2_076; Argos09/2_077; Argos09/2_079; Argos09/2_080; Argos09/2_081; Argos09/2_082; Argos09/2_083; Argos09/2_084; Argos09/2_091; Argos09/2_093; Argos09/2_095; Argos09/2_096; Argos09/2_102; Argos09/2_103; Argos09/2_104; Argos09/2_105; Argos09/2_113; Argos09/2_114; Argos09/2_115; Argos09/2_116; Argos09/2_117; Argos09/2_124; Argos09/2_125; Argos09/2_126; Argos09/2_127; Argos09/2_133; Argos09/2_134; Argos09/2_135; Argos09/2_136; Argos09/2_137; Argos09/2_139; Argos09/2_143; Argos09/2_144; Argos09/2_145; Argos09/2_146; Argos09/2_152; Argos09/2_153; Argos09/2_154; Argos09/2_156; Argos09/2_157; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, total; Oxygen; pH; Phosphate; Phosphorus, total; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water; The Sound
    Type: Dataset
    Format: text/tab-separated-values, 3667 data points
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  • 71
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Argos; Argos10/1; Argos10/1_038; Argos10/1_039; Argos10/1_046; Argos10/1_047; Argos10/1_048; Argos10/1_049; Argos10/1_050; Argos10/1_057; Argos10/1_058; Argos10/1_059; Argos10/1_060; Argos10/1_061; Argos10/1_062; Argos10/1_063; Argos10/1_064; Argos10/1_065; Argos10/1_067; Argos10/1_068; Argos10/1_072; Argos10/1_075; Argos10/1_077; Argos10/1_079; Argos10/1_080; Argos10/1_081; Argos10/1_082; Argos10/1_088; Argos10/1_089; Argos10/1_090; Argos10/1_092; Argos10/1_093; Argos10/1_100; Argos10/1_101; Argos10/1_102; Argos10/1_103; Argos10/1_104; Argos10/1_105; Argos10/1_112; Argos10/1_113; Argos10/1_114; Argos10/1_115; Argos10/1_116; Argos10/1_117; Argos10/1_123; Argos10/1_124; Argos10/1_125; Argos10/1_132; Argos10/1_133; Argos10/1_134; Argos10/1_135; Argos10/1_136; Argos10/1_142; Argos10/1_143; Argos10/1_144; Argos10/1_149; Argos10/1_150; Argos10/1_152; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, total; Oxygen; pH; Phosphate; Phosphorus, total; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water; The Sound
    Type: Dataset
    Format: text/tab-separated-values, 3760 data points
    Location Call Number Expected Availability
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  • 72
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Argos; Argos95/2; Argos95/2_024; Argos95/2_025; Argos95/2_026; Argos95/2_027; Argos95/2_028; Argos95/2_029; Argos95/2_030; Argos95/2_031; Argos95/2_032; Argos95/2_033; Argos95/2_034; Argos95/2_035; Argos95/2_036; Argos95/2_037; Argos95/2_038; Argos95/2_039; Argos95/2_040; Argos95/2_041; Argos95/2_042; Argos95/2_043; Argos95/2_044; Argos95/2_045; Argos95/2_046; Argos95/2_047; Argos95/2_048; Argos95/2_049; Argos95/2_050; Argos95/2_051; Argos95/2_052; Argos95/2_053; Argos95/2_054; Argos95/2_055; Argos95/2_056; Argos95/2_057; Argos95/2_058; Argos95/2_059; Argos95/2_060; Argos95/2_061; Argos95/2_062; Argos95/2_063; Argos95/2_064; Argos95/2_065; Argos95/2_066; Argos95/2_067; Argos95/2_068; Argos95/2_069; Argos95/2_070; Argos95/2_071; Argos95/2_072; Argos95/2_073; Argos95/2_074; Argos95/2_075; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, total; Oxygen; pH; Phosphate; Phosphorus, total; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water; The Sound
    Type: Dataset
    Format: text/tab-separated-values, 2683 data points
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  • 73
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Argos; Argos94/2; Argos94/2_044; Argos94/2_045; Argos94/2_046; Argos94/2_047; Argos94/2_048; Argos94/2_049; Argos94/2_050; Argos94/2_051; Argos94/2_052; Argos94/2_053; Argos94/2_054; Argos94/2_055; Argos94/2_056; Argos94/2_057; Argos94/2_058; Argos94/2_059; Argos94/2_060; Argos94/2_061; Argos94/2_062; Argos94/2_063; Argos94/2_064; Argos94/2_065; Argos94/2_066; Argos94/2_067; Argos94/2_068; Argos94/2_069; Argos94/2_070; Argos94/2_071; Argos94/2_072; Argos94/2_073; Argos94/2_074; Argos94/2_075; Argos94/2_076; Argos94/2_077; Argos94/2_078; Argos94/2_079; Argos94/2_080; Argos94/2_081; Argos94/2_082; Argos94/2_083; Argos94/2_084; Argos94/2_085; Argos94/2_086; Argos94/2_087; Argos94/2_088; Argos94/2_089; Argos94/2_090; Argos94/2_091; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, total; Oxygen; pH; Phosphorus, total; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water; The Sound
    Type: Dataset
    Format: text/tab-separated-values, 3067 data points
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  • 74
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Argos; Argos96/2; Argos96/2_070; Argos96/2_071; Argos96/2_072; Argos96/2_073; Argos96/2_074; Argos96/2_075; Argos96/2_076; Argos96/2_077; Argos96/2_078; Argos96/2_080; Argos96/2_081; Argos96/2_082; Argos96/2_083; Argos96/2_084; Argos96/2_085; Argos96/2_086; Argos96/2_087; Argos96/2_088; Argos96/2_089; Argos96/2_090; Argos96/2_091; Argos96/2_092; Argos96/2_093; Argos96/2_094; Argos96/2_095; Argos96/2_096; Argos96/2_097; Argos96/2_098; Argos96/2_099; Argos96/2_100; Argos96/2_101; Argos96/2_102; Argos96/2_103; Argos96/2_104; Argos96/2_105; Argos96/2_106; Argos96/2_107; Argos96/2_108; Argos96/2_109; Argos96/2_110; Argos96/2_111; Argos96/2_113; Argos96/2_114; Argos96/2_115; Argos96/2_116; Argos96/2_117; Argos96/2_118; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, total; Oxygen; pH; Phosphate; Phosphorus, total; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water; The Sound
    Type: Dataset
    Format: text/tab-separated-values, 3353 data points
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  • 75
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Argos; Argos97/2; Argos97/2_048; Argos97/2_049; Argos97/2_051; Argos97/2_057; Argos97/2_058; Argos97/2_059; Argos97/2_061; Argos97/2_062; Argos97/2_069; Argos97/2_070; Argos97/2_071; Argos97/2_072; Argos97/2_073; Argos97/2_081; Argos97/2_082; Argos97/2_083; Argos97/2_084; Argos97/2_089; Argos97/2_090; Argos97/2_091; Argos97/2_092; Argos97/2_093; Argos97/2_097; Argos97/2_099; Argos97/2_101; Argos97/2_108; Argos97/2_109; Argos97/2_112; Argos97/2_114; Argos97/2_115; Argos97/2_123; Argos97/2_125; Argos97/2_126; Argos97/2_128; Argos97/2_129; Argos97/2_130; Argos97/2_131; Argos97/2_132; Argos97/2_133; Argos97/2_134; Argos97/2_135; Argos97/2_136; Argos97/2_137; Argos97/2_138; Argos97/2_139; Argos97/2_140; Argos97/2_141; Argos97/2_142; Argos97/2_143; Argos97/2_144; Argos97/2_145; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, total; Oxygen; pH; Phosphate; Phosphorus, total; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water; The Sound
    Type: Dataset
    Format: text/tab-separated-values, 3043 data points
    Location Call Number Expected Availability
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  • 76
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Argos; Argos98/2; Argos98/2_037; Argos98/2_039; Argos98/2_046; Argos98/2_047; Argos98/2_048; Argos98/2_049; Argos98/2_057; Argos98/2_058; Argos98/2_059; Argos98/2_060; Argos98/2_062; Argos98/2_067; Argos98/2_068; Argos98/2_069; Argos98/2_070; Argos98/2_078; Argos98/2_079; Argos98/2_080; Argos98/2_081; Argos98/2_083; Argos98/2_084; Argos98/2_085; Argos98/2_086; Argos98/2_087; Argos98/2_094; Argos98/2_095; Argos98/2_097; Argos98/2_104; Argos98/2_105; Argos98/2_106; Argos98/2_107; Argos98/2_108; Argos98/2_115; Argos98/2_116; Argos98/2_119; Argos98/2_120; Argos98/2_125; Argos98/2_127; Argos98/2_129; Argos98/2_137; Argos98/2_139; Argos98/2_140; Argos98/2_142; Argos98/2_149; Argos98/2_150; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, total; Oxygen; pH; Phosphate; Phosphorus, total; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water; The Sound
    Type: Dataset
    Format: text/tab-separated-values, 2580 data points
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  • 77
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Aragonite saturation state, standard deviation; Bicarbonate ion; Bicarbonate ion, standard deviation; Calcite saturation state; Calcite saturation state, standard deviation; Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbon dioxide, partial pressure, standard deviation; EPOCA; European Project on Ocean Acidification; Experimental treatment; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 144 data points
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  • 78
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    PANGAEA
    In:  Institute of Biology of the Southern Seas, National Academy of Sciences of Ukraine, Sevastopol
    Publication Date: 2023-03-14
    Keywords: Akademik Vernadsky; AV3; AV3_175-1; AV3_176-1; AV3_177-1; AV3_178-1; AV3_179-1; AV3_180-1; AV3_181-1; AV3_182-1; AV3_183-1; AV3_184-1; AV3_185-1; AV3_186-1; AV3_187-1; AV3_189-1; AV3_190-1; AV3_191-1; AV3_192-1; AV3_193-1; AV3_194-1; AV3_195-1; AV3_196-1; AV3_197-1; AV3_199-1; AV3_200-1; AV3_201-1; AV3_202-1; AV3_203-1; AV3_205-1; AV3_206-1; AV3_207-1; AV3_209-1; AV3_210-1; AV3_211-1; AV3_212-1; AV3_214-1; AV3_215-1; AV3_216-1; AV3_217-1; AV3_219-1; AV3_221-1; AV3_222-1; AV3_223-1; AV3_224-1; AV3_225-1; AV3_226-1; AV3_227-1; AV3_228-1; AV3_229-1; AV3_230-1; Canarias Sea; Caribbean Sea; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Determination of phosphate (Denigès & Atkins); Elevation of event; Event label; Latitude of event; Longitude of event; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; Phosphate; Reversing thermometer; Salinity; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 4042 data points
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  • 79
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    PANGAEA
    In:  Marine Hydrophysical Institute, National Academy of Sciences of Ukraine
    Publication Date: 2023-03-14
    Keywords: Black Sea; CTD; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; Hydrogen sulfide; Latitude of event; Longitude of event; Nitrate; Nitrite; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; Phosphate; PK33; PK33_5954; PK33_5956; PK33_5957; PK33_5958; PK33_5959; PK33_5960; PK33_5961; PK33_5962; PK33_5963; PK33_5964; PK33_5965; PK33_5966; PK33_5967; PK33_5968; PK33_5969; PK33_5970; PK33_5971; PK33_5972; PK33_5973; PK33_5974; PK33_5975; PK33_5977; PK33_5979; PK33_5981; PK33_5984; PK33_5985; PK33_5987; PK33_5990; PK33_5991; PK33_5992; PK33_5994; PK33_5996; PK33_5997; PK33_5998; PK33_5999; PK33_6000; PK33_6001; PK33_6004; PK33_6005; PK33_6006; PK33_6007; PK33_6008; PK33_6009; PK33_6010; PK33_6011; PK33_6012; PK33_6013; PK33_6015; PK33_6017; PK33_6018; PK33_6019; PK33_6020; PK33_6021; PK33_6022; PK33_6023; PK33_6024; PK33_6025; PK33_6026; PK33_6028; PK33_6029; PK33_6030; PK33_6031; PK33_6032; PK33_6033; PK33_6034; PK33_6035; PK33_6036; PK33_6037; PK33_6038; PK33_6039; Professor Kolesnikov; Salinity; Silicate; Temperature, water; Titration
    Type: Dataset
    Format: text/tab-separated-values, 6574 data points
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  • 80
    Publication Date: 2023-03-14
    Keywords: Alkalinity, Gran titration (Gran, 1950); Alkalinity, total; Aragonite saturation state; Bicarbonate ion; Calcite saturation state; Calculated using CO2SYS; Carbon, inorganic, dissolved; EPOCA; European Project on Ocean Acidification; Experimental treatment; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; Salinity; Temperature, water; WTW 340i pH-analyzer and WTW SenTix 81-electrode
    Type: Dataset
    Format: text/tab-separated-values, 740 data points
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  • 81
    Publication Date: 2023-03-14
    Keywords: Bicarbonate ion; Calcium; Calculated; Chloride; Conductivity, electrolytic; Date/Time of event; Delta_Pingo; Disko Island, West Greenland; Event label; Fan_Pingo; Geological sample; GEOS; Magnesium; pH; Potassium; Sodium; Sodium/Potassium ratio; Sulfate; Sulfate/Chlorine ratio; δ18O
    Type: Dataset
    Format: text/tab-separated-values, 24 data points
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  • 82
    Publication Date: 2023-03-14
    Keywords: Adenosine 5-Triphosphate; Calcium; Casey_Station; Chlorine; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Loss on ignition; Magnesium; pH; Phosphate; Sample code/label; Sample type; STAT; Station; Vincennes Bay, Antarctica; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 120 data points
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  • 83
    Publication Date: 2023-03-14
    Keywords: CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Latitude of event; Longitude of event; North Sea; Oxygen; pH; Pressure, water; Salinity; Temperature, water; Thalassa; Thalassa11/1; Thalassa11/1_001; Thalassa11/1_002; Thalassa11/1_004; Thalassa11/1_005; Thalassa11/1_006; Thalassa11/1_007; Thalassa11/1_008; Thalassa11/1_009; Thalassa11/1_010; Thalassa11/1_011; Thalassa11/1_012; Thalassa11/1_013; Thalassa11/1_014; Thalassa11/1_015; Thalassa11/1_016; Thalassa11/1_017; Thalassa11/1_018; Thalassa11/1_019; Thalassa11/1_020; Thalassa11/1_021; Thalassa11/1_022; Thalassa11/1_023; Thalassa11/1_024; Thalassa11/1_025; Thalassa11/1_026; Thalassa11/1_027; Thalassa11/1_028; Thalassa11/1_029; Thalassa11/1_030; Thalassa11/1_031; Thalassa11/1_032; Thalassa11/1_034; Thalassa11/1_035; Thalassa11/1_036; Thalassa11/1_037; Thalassa11/1_038; Thalassa11/1_039; Thalassa11/1_040; Thalassa11/1_041; Thalassa11/1_042; Thalassa11/1_043; Thalassa11/1_044; Thalassa11/1_045; Thalassa11/1_046; Thalassa11/1_047; Thalassa11/1_048; Thalassa11/1_049; Thalassa11/1_050; Thalassa11/1_051; Thalassa11/1_052; Thalassa11/1_053; Thalassa11/1_054; Thalassa11/1_055; Thalassa11/1_056; Thalassa11/1_057; Thalassa11/1_058; Thalassa11/1_059; Thalassa11/1_060; Thalassa11/1_061; Thalassa11/1_062; Thalassa11/1_063; Thalassa11/1_064; Thalassa11/1_065; Thalassa11/1_066; Thalassa11/1_067; Thalassa11/1_068; Thalassa11/1_069; Thalassa11/1_070; Thalassa11/1_071; Thalassa11/1_072; Thalassa11/1_073; Thalassa11/1_074; Thalassa11/1_075; Thalassa11/1_076; Thalassa11/1_077; Thalassa11/1_078; Thalassa11/1_079; Thalassa11/1_080; Thalassa11/1_081; Thalassa11/1_082; Thalassa11/1_083; Thalassa11/1_084; Thalassa11/1_085; Thalassa11/1_086; Thalassa11/1_087; Thalassa11/1_088; Thalassa11/1_089; Thalassa11/1_090; Thalassa11/1_091; Thalassa11/1_092; Thalassa11/1_093; Thalassa11/1_094; Thalassa11/1_095; Thalassa11/1_096; Thalassa11/1_097; Thalassa11/1_098; Thalassa11/1_099; Thalassa11/1_100; Thalassa11/1_101; Thalassa11/1_102; Thalassa11/1_103; Thalassa11/1_104; Thalassa11/1_105; Thalassa11/1_106; Thalassa11/1_107; Thalassa11/1_108; Thalassa11/1_109; Thalassa11/1_110; Thalassa11/1_111; Thalassa11/1_112; Thalassa11/1_113; Thalassa11/1_114; Thalassa11/1_115; Thalassa11/1_116; Thalassa11/1_117; Thalassa11/1_118; Thalassa11/1_119; Thalassa11/1_120; Thalassa11/1_121; Thalassa11/1_122; Thalassa11/1_123; Thalassa11/1_124; Thalassa11/1_125; Thalassa11/1_126; Thalassa11/1_127; Thalassa11/1_128; Thalassa11/1_129; Thalassa11/1_130; Thalassa11/1_131; Thalassa11/1_132; Thalassa11/1_133; Thalassa11/1_134; Thalassa11/1_135; Thalassa11/1_136; Thalassa11/1_137; Thalassa11/1_138; Thalassa11/1_139; Thalassa11/1_140; Thalassa11/1_141; Thalassa11/1_143; Thalassa11/1_144; Thalassa11/1_145; Thalassa11/1_146; Thalassa11/1_147; Thalassa11/1_148; Thalassa11/1_149; Thalassa11/1_150; Thalassa11/1_151; Thalassa11/1_152; Thalassa11/1_153; Thalassa11/1_154; Thalassa11/1_155; Thalassa11/1_159; Thalassa11/1_160; Thalassa11/1_161; Thalassa11/1_162; Thalassa11/1_163; Thalassa11/1_164; Thalassa11/1_165; Thalassa11/1_166; Thalassa11/1_167; Thalassa11/1_168; Thalassa11/1_169; Thalassa11/1_170; Thalassa11/1_171; Thalassa11/1_172; Thalassa11/1_173; Thalassa11/1_175; Thalassa11/1_176; Thalassa11/1_177; Thalassa11/1_178; Thalassa11/1_179; Thalassa11/1_180; Thalassa11/1_181; Thalassa11/1_182; Thalassa11/1_183; Thalassa11/1_184; Thalassa11/1_185; Thalassa11/1_186; Thalassa11/1_187; Thalassa11/1_188; Thalassa11/1_189; Thalassa11/1_190; Thalassa11/1_191; Thalassa11/1_192; Thalassa11/1_193; Thalassa11/1_194; Thalassa11/1_195; Thalassa11/1_196; Thalassa11/1_197; Thalassa11/1_198; Thalassa11/1_199; Thalassa11/1_200; Thalassa11/1_201; Thalassa11/1_202; Thalassa11/1_203; Thalassa11/1_204; Thalassa11/1_205; Thalassa11/1_206; Thalassa11/1_207; Thalassa11/1_208; Thalassa11/1_209; Thalassa11/1_210; Thalassa11/1_211; Thalassa11/1_212
    Type: Dataset
    Format: text/tab-separated-values, 29818 data points
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  • 84
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; Corumba_reservoir; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 3620 data points
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  • 85
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Estreito_reservoir; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 2579 data points
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  • 86
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Itumbiara; Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 29501 data points
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  • 87
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; Serra_da_Mesa_reservoir; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 1708 data points
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  • 88
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Estreito_reservoir; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 20847 data points
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  • 89
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Funil_reservoir; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 53707 data points
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  • 90
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Conductivity; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit); Xingo_reservoir
    Type: Dataset
    Format: text/tab-separated-values, 4292 data points
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  • 91
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; BIOACID; Biological Impacts of Ocean Acidification; Carbon dioxide; Fugacity of carbon dioxide in seawater; pH
    Type: Dataset
    Format: text/tab-separated-values, 210 data points
    Location Call Number Expected Availability
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  • 92
    Publication Date: 2023-03-14
    Keywords: Cape_Evans_OA; DATE/TIME; EXP; Experiment; pH; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 2206 data points
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  • 93
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Carbon, inorganic, dissolved; Carbon dioxide, partial pressure; CO2; DATE/TIME; Dongsha_Island_IL; Dongsha_Island_NS; Dongsha Island; Dongsha Island, China; Event label; IL; NS; Ocean acidification; pH; Seagrass
    Type: Dataset
    Format: text/tab-separated-values, 696 data points
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  • 94
    Publication Date: 2023-03-14
    Description: The data set contains the results of laboratory examination of 13 soil samples taken at the ground truthing reference sites during the flight campaign.
    Keywords: airborne; Clay; drought; evapotranspiration; Event label; Groundtruthing; HAND; heatwave; Modular Observation Solutions for Earth Systems; MOSES; MOSES_beets; MOSES_CV01; MOSES_CV02; MOSES_DIAG_00-99; MOSES_early_potatoes_B; MOSES_Kartoffel; MOSES_Kartoffel_frueh; MOSES_potatoes_A; MOSES_REF_Boden; MOSES_Ruebe; MOSES_S02; MOSES_S04; MOSES_S05; MOSES_S06; MOSES_S09; MOSES_S10; MOSES_soil_reference_site; Nitrogen, soil; Organic carbon, soil; pH; remote sensing; Sample ID; Sampling by hand; Sand; Silt; Site; Soil Moisture; soil properties; Soil type
    Type: Dataset
    Format: text/tab-separated-values, 117 data points
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  • 95
    Publication Date: 2023-03-14
    Description: Here we present soil characteristics from Alpine European larch and Swiss pine forests, as well as mixed forests. The forests are located in the LTSER area "Val Mazia/Matschertal" in the Vinschgau Valley, South Tyrol, Italy. Each three replicates from each forest type (larch, pine, and mixed) were sampled in late summer 2017.
    Keywords: Alpine forests; Calculated, see reference(s); Carbon/Nitrogen ratio; DEPTH, soil; Elevation of event; Event label; Exposition; Forest composition; HydroSenseII (Campbell Scientific, Logan, Utah); Inclination; L100_1; L100_2; L100_3; Larch; Latitude of event; Layer thickness; Longitude of event; LTER Italy; LZ50_1; LZ50_2; LZ50_3; Moisture; MULT; Multiple investigations; Organic content; pH; pH-multimeter (HI2020 edge, Hanna Instruments, Woonsocket, Rhode Island); Sample ID; soil macro-invertebrates; South Tyrol, Italy; Swiss pine; Z100_1; Z100_2; Z100_3
    Type: Dataset
    Format: text/tab-separated-values, 243 data points
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  • 96
    Publication Date: 2023-03-14
    Keywords: Center for Marine Environmental Sciences; CO2; DATE/TIME; MARUM; Massachusetts, United States of America; Microoptode; Oxygen; pH; Plum_Island_Estuary; profiles; salt marsh; tidal pond
    Type: Dataset
    Format: text/tab-separated-values, 2741 data points
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  • 97
    Publication Date: 2023-03-14
    Keywords: Center for Marine Environmental Sciences; CO2; DATE/TIME; MARUM; Massachusetts, United States of America; Microoptode; Oxygen; pH; Plum_Island_Estuary; profiles; salt marsh; tidal pond
    Type: Dataset
    Format: text/tab-separated-values, 2691 data points
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  • 98
    Publication Date: 2023-03-14
    Keywords: Center for Marine Environmental Sciences; CO2; DATE/TIME; MARUM; Massachusetts, United States of America; Microoptode; Oxygen; pH; Plum_Island_Estuary; profiles; Radiation, photosynthetically active; salt marsh; tidal pond
    Type: Dataset
    Format: text/tab-separated-values, 105 data points
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  • 99
    Publication Date: 2023-03-14
    Keywords: Center for Marine Environmental Sciences; CO2; DATE/TIME; MARUM; Massachusetts, United States of America; Microoptode; Oxygen; pH; Plum_Island_Estuary; profiles; salt marsh; Temperature, water; tidal pond
    Type: Dataset
    Format: text/tab-separated-values, 1426 data points
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  • 100
    Publication Date: 2023-03-14
    Keywords: Center for Marine Environmental Sciences; CO2; DATE/TIME; MARUM; Massachusetts, United States of America; Microoptode; Oxygen; pH; Plum_Island_Estuary; profiles; Salinity; salt marsh; tidal pond
    Type: Dataset
    Format: text/tab-separated-values, 3 data points
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