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  • PANGAEA  (34,321)
  • Copernicus
  • 2020-2024  (34,364)
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  • 1
    Publication Date: 2023-06-21
    Description: Abstract. Clouds are assumed to play an important role in the Arctic amplification process. This motivated a detailed investigation of cloud processes, including radiative and turbulent fluxes. Data from the aircraft campaign ACLOUD were analyzed with a focus on the mean and turbulent structure of the cloudy boundary layer over the Fram Strait marginal sea ice zone in late spring and early summer 2017. Vertical profiles of turbulence moments are presented from contrasting atmospheric boundary layers (ABLs) from 4 d. They differ by the magnitude of wind speed, boundary-layer height, stability, the strength of the cloud-top radiative cooling and the number of cloud layers. Turbulence statistics up to third-order moments are presented, which were obtained from horizontal-level flights and from slanted profiles. It is shown that both of these flight patterns complement each other and form a data set that resolves the vertical structure of the ABL turbulence well. The comparison of the 4 d shows that especially during weak wind, even in shallow Arctic ABLs with mixing ratios below 3 g kg-1, cloud-top cooling can serve as a main source of turbulent kinetic energy (TKE).Well-mixed ABLs are generated where TKE is increased and vertical velocity variance shows pronounced maxima in the cloud layer. Negative vertical velocity skewness points then to upside-down convection. Turbulent heat fluxes are directed upward in the cloud layer as a result of cold downdrafts. In two cases with single-layer stratocumulus, turbulent transport of heat flux and of temperature variance are both negative in the cloud layer, suggesting an important role of large eddies. In contrast, in a case with weak cloud-top cooling, these quantities are positive in the ABL due to the heating from the surface. Based on observations and results of a mixed-layer model it is shown that the maxima of turbulent fluxes are, however, smaller than the jump of the net terrestrial radiation flux across the upper part of a cloud due to the (i) shallowness of the mixed layer and (ii) the presence of a downward entrainment heat flux. The mixed-layer model also shows that the buoyancy production of TKE is substantially smaller in stratocumulus over the Arctic sea ice compared to subtropics due to a smaller surface moisture flux and smaller decrease in specific humidity (or even humidity inversions) right above the cloud top. In a case of strong wind, wind shear shapes the ABL turbulent structure, especially over rough sea ice, despite the presence of a strong cloud-top cooling. In the presence of mid-level clouds, cloud-top radiative cooling and thus also TKE in the lowermost cloud layer are strongly reduced, and the ABL turbulent structure becomes governed by stability, i.e., by the surface–air temperature difference and wind speed. A comparison of slightly unstable and weakly stable cases shows a strong reduction of TKE due to increased stability even though the absolute value of wind speed was similar. In summary, the presented study documents vertical profiles of the ABL turbulence with a high resolution in a wide range of conditions. It can serve as a basis for turbulence closure evaluation and process studies in Arctic clouds.
    Repository Name: EPIC Alfred Wegener Institut
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  • 2
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    Copernicus
    In:  EPIC3Atmospheric Chemistry and Physics, Copernicus, 23(5), pp. 3207-3232, ISSN: 1680-7316
    Publication Date: 2023-10-19
    Description: The presence of reactive bromine in polar regions is a widespread phenomenon that plays an important role in the photochemistry of the Arctic and Antarctic lower troposphere, including the destruction of ozone, the disturbance of radical cycles, and the oxidation of gaseous elemental mercury. The chemical mechanisms leading to the heterogeneous release of gaseous bromine compounds from saline surfaces are in principle well understood. There are, however, substantial uncertainties about the contribution of different potential sources to the release of reactive bromine, such as sea ice, brine, aerosols, and the snow surface, as well as about the seasonal and diurnal variation and the vertical distribution of reactive bromine. Here we use continuous long-term measurements of the vertical distribution of bromine monoxide (BrO) and aerosols at the two Antarctic sites Neumayer (NM) and Arrival Heights (AH), covering the periods of 2003–2021 and 2012–2021, respectively, to investigate how chemical and physical parameters affect the abundance of BrO. We find the strongest correlation between BrO and aerosol extinction (R=0.56 for NM and R=0.28 for AH during spring), suggesting that the heterogeneous release of Br2 from saline airborne particles (blowing snow and aerosols) is a dominant source for reactive bromine. Positive correlations between BrO and contact time of air masses, both with sea ice and the Antarctic ice sheet, suggest that reactive bromine is not only emitted by the sea ice surface but by the snowpack on the ice shelf and in the coastal regions of Antarctica. In addition, the open ocean appears to represent a source for reactive bromine during late summer and autumn when the sea ice extent is at its minimum. A source–receptor analysis based on back trajectories and sea ice maps shows that main source regions for BrO at NM are the Weddell Sea and the Filchner–Ronne Ice Shelf, as well as coastal polynyas where sea ice is newly formed. A strong morning peak in BrO frequently occurring during summer and that is particularly strong during autumn suggests a night-time build-up of Br2 by heterogeneous reaction of ozone on the saline snowpack in the vicinity of the measurement sites. We furthermore show that BrO can be sustained for at least 3 d while travelling across the Antarctic continent in the absence of any saline surfaces that could serve as a source for reactive bromine.
    Repository Name: EPIC Alfred Wegener Institut
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  • 3
    Publication Date: 2023-06-21
    Description: Springtime Arctic mixed-phase convection over open water in the Fram Strait as observed during the recent ACLOUD (Arctic CLoud Observations Using airborne measurements during polar Day) field campaign is simulated at turbulence-resolving resolutions. The first objective is to assess the skill of large-eddy simulation (LES) in reproducing the observed mixed-phase convection. The second goal is to then use the model to investigate how aerosol modulates the way in which turbulent mixing and clouds transform the low-level air mass. The focus lies on the low-level thermal structure and lapse rate, the heating efficiency of turbulent entrainment, and the low-level energy budget. A composite case is constructed based on data collected by two research aircraft on 18 June 2017. Simulations are evaluated against independent datasets, showing that the observed thermodynamic, cloudy, and turbulent states are well reproduced. Sensitivity tests on cloud condensation nuclei (CCN) concentration are then performed, covering a broad range between pristine polar and polluted continental values. We find a significant response in the resolved mixed-phase convection, which is in line with previous LES studies. An increased CCN substantially enhances the depth of convection and liquid cloud amount, accompanied by reduced surface precipitation. Initializing with the in situ CCN data yields the best agreement with the cloud and turbulence observations, a result that prioritizes its measurement during field campaigns for supporting high-resolution modeling efforts. A deeper analysis reveals that CCN significantly increases the efficiency of radiatively driven entrainment in warming the boundary layer. The marked strengthening of the thermal inversion plays a key role in this effect. The low-level heat budget shifts from surface driven to radiatively driven. This response is accompanied by a substantial reduction in the surface energy budget, featuring a weakened flow of solar radiation into the ocean. Results are interpreted in the context of air–sea interactions, air mass transformations, and climate feedbacks at high latitudes.
    Repository Name: EPIC Alfred Wegener Institut
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  • 4
    Publication Date: 2024-04-19
    Description: We combine satellite data products to provide a first and general overview of the physical sea ice conditions along the drift of the international Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition and a comparison with previous years (2005–2006 to 2018–2019). We find that the MOSAiC drift was around 20 % faster than the climatological mean drift, as a consequence of large-scale low-pressure anomalies prevailing around the Barents–Kara–Laptev sea region between January and March. In winter (October–April), satellite observations show that the sea ice in the vicinity of the Central Observatory (CO; 50 km radius) was rather thin compared to the previous years along the same trajectory. Unlike ice thickness, satellite-derived sea ice concentration, lead frequency and snow thickness during winter months were close to the long-term mean with little variability. With the onset of spring and decreasing distance to the Fram Strait, variability in ice concentration and lead activity increased. In addition, the frequency and strength of deformation events (divergence, convergence and shear) were higher during summer than during winter. Overall, we find that sea ice conditions observed within 5 km distance of the CO are representative for the wider (50 and 100 km) surroundings. An exception is the ice thickness; here we find that sea ice within 50 km radius of the CO was thinner than sea ice within a 100 km radius by a small but consistent factor (4 %) for successive monthly averages. Moreover, satellite acquisitions indicate that the formation of large melt ponds began earlier on the MOSAiC floe than on neighbouring floes.
    Repository Name: EPIC Alfred Wegener Institut
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  • 5
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    Copernicus
    In:  EPIC3Natural Hazards and Earth System Sciences, Copernicus, 2021, pp. 1-34, ISSN: 1561-8633
    Publication Date: 2024-04-22
    Description: 〈jats:p〉Abstract. The combined effect of hot and dry extremes can have disastrous consequences for the society, economy, and the environment. While a significant number of studies have been conducted regarding the variability of the individual hot or dry extremes in Romania, the evaluation of the combined effect of these extremes (e.g. compound effect) is still lacking for this region. Thus, in this study we have assessed the spatio-temporal variability and trends of hot and dry summers in the eastern part of Europe, focusing on Romania, between 1950 and 2020 and we have analyzed the relationship between the frequency of hot summers and the prevailing large-scale atmospheric circulation. The length, spatial extent and frequency of HWs in Romania has increased significantly over the last 70 years, while for the drought conditions no significant changes have been observed. The rate of increase in the frequency and spatial extent of HWs has accelerated significantly after the 1990’s, while the smallest number of HWs was observed between 1970 and 1985. The hottest years, in terms of heatwave duration and frequency, were 2007, 2012, 2015, and 2019. One of the key drivers of hot summers, over our analyzed region, is the prevailing large-scale circulation, featuring an anticyclonic circulation over the central and eastern parts of Europe and enhanced atmospheric blocking activity associated with positive temperature anomalies underneath. We conclude that our study can help improve our understanding of the spatio-temporal variability of hot and dry summers, especially at the regional scale, as well as their driving mechanisms which might lead to a better predictability of these extreme events. 〈/jats:p〉
    Repository Name: EPIC Alfred Wegener Institut
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  • 6
    Publication Date: 2024-04-29
    Description: Stable water isotopologues of snow, firn and ice cores provide valuable information on past climate variations. Yet single profiles are generally not suitable for robust climate reconstructions. Stratigraphic noise, introduced by the irregular deposition, wind-driven erosion and redistribution of snow, impacts the utility of high-resolution isotope records, especially in low-Accumulation areas. However, it is currently unknown how stratigraphic noise differs across the East Antarctic Plateau and how it is affected by local environmental conditions. Here, we assess the amount and structure of stratigraphic noise at seven sites along a 120 km transect on the plateau of Dronning Maud Land, East Antarctica. Replicated oxygen isotope records of 1 m length were used to estimate signal-To-noise ratios as a measure of stratigraphic noise at sites characterised by different accumulation rates (43-64 mm w.e. a-1), snow surface roughnesses and slope inclinations. While we found a high level of stratigraphic noise at all sites, there was also considerable variation between sites. At sastrugi-dominated sites, greater stratigraphic noise coincided with stronger surface roughnesses, steeper slopes and lower accumulation rates, probably related to increased wind speeds. These results provide a first step to modelling stratigraphic noise and might guide site selection and sampling strategies for future expeditions to improve high-resolution climate reconstructions from low-Accumulation regions.
    Repository Name: EPIC Alfred Wegener Institut
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  • 7
    Publication Date: 2024-01-30
    Description: Methane emissions from boreal and arctic wetlands, lakes, and rivers are expected to increase in response to warming and associated permafrost thaw. However, the lack of appropriate land cover datasets for scaling field-measured methane emissions to circumpolar scales has contributed to a large uncertainty for our understanding of present-day and future methane emissions. Here we present the Boreal–Arctic Wetland and Lake Dataset (BAWLD), a land cover dataset based on an expert assessment, extrapolated using random forest modelling from available spatial datasets of climate, topography, soils, permafrost conditions, vegetation, wetlands, and surface water extents and dynamics. In BAWLD, we estimate the fractional coverage of five wetland, seven lake, and three river classes within 0.5 × 0.5∘ grid cells that cover the northern boreal and tundra biomes (17 % of the global land surface). Land cover classes were defined using criteria that ensured distinct methane emissions among classes, as indicated by a co-developed comprehensive dataset of methane flux observations. In BAWLD, wetlands occupied 3.2 × 106 km2 (14 % of domain) with a 95 % confidence interval between 2.8 and 3.8 × 106 km2. Bog, fen, and permafrost bog were the most abundant wetland classes, covering ∼ 28 % each of the total wetland area, while the highest-methane-emitting marsh and tundra wetland classes occupied 5 % and 12 %, respectively. Lakes, defined to include all lentic open-water ecosystems regardless of size, covered 1.4 × 106 km2 (6 % of domain). Low-methane-emitting large lakes (〉10 km2) and glacial lakes jointly represented 78 % of the total lake area, while high-emitting peatland and yedoma lakes covered 18 % and 4 %, respectively. Small (〈0.1 km2) glacial, peatland, and yedoma lakes combined covered 17 % of the total lake area but contributed disproportionally to the overall spatial uncertainty in lake area with a 95 % confidence interval between 0.15 and 0.38 × 106 km2. Rivers and streams were estimated to cover 0.12  × 106 km2 (0.5 % of domain), of which 8 % was associated with high-methane-emitting headwaters that drain organic-rich landscapes. Distinct combinations of spatially co-occurring wetland and lake classes were identified across the BAWLD domain, allowing for the mapping of “wetscapes” that have characteristic methane emission magnitudes and sensitivities to climate change at regional scales. With BAWLD, we provide a dataset which avoids double-accounting of wetland, lake, and river extents and which includes confidence intervals for each land cover class. As such, BAWLD will be suitable for many hydrological and biogeochemical modelling and upscaling efforts for the northern boreal and arctic region, in particular those aimed at improving assessments of current and future methane emissions. Data are freely available at https://doi.org/10.18739/A2C824F9X (Olefeldt et al., 2021).
    Repository Name: EPIC Alfred Wegener Institut
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  • 8
    Publication Date: 2024-01-31
    Description: Lakes in permafrost regions are dynamiclandscape components and play an important role for climatechange feedbacks. Lake processes such as mineralizationand flocculation of dissolved organic carbon (DOC), oneof the main carbon fractions in lakes, contribute to thegreenhouse effect and are part of the global carbon cycle.These processes are in the focus of climate research, butstudies so far are limited to specific study regions. Inour synthesis, we analyzed 2167 water samples from 1833lakes across the Arctic in permafrost regions of Alaska,Canada, Greenland, and Siberia to provide first pan-Arcticinsights for linkages between DOC concentrations andthe environment. Using published data and unpublisheddatasets from the author team, we report regional DOCdifferences linked to latitude, permafrost zones, ecoregions,geology, near-surface soil organic carbon contents, andground ice classification of each lake region. The lakeDOC concentrations in our dataset range from 0 to1130 mg L−1(10.8 mg L−1median DOC concentration).Regarding the permafrost regions of our synthesis, wefound median lake DOC concentrations of 12.4 mg L−1(Siberia), 12.3 mg L−1(Alaska), 10.3 mg L−1(Greenland),and 4.5 mg L−1(Canada). Our synthesis shows a significantrelationship between lake DOC concentration and lakeecoregion. We found higher lake DOC concentrationsat boreal permafrost sites compared to tundra sites. Wefound significantly higher DOC concentrations in lakesin regions with ice-rich syngenetic permafrost deposits(yedoma) compared to non-yedoma lakes and a weak butsignificant relationship between soil organic carbon contentand lake DOC concentration as well as between ground icecontent and lake DOC. Our pan-Arctic dataset shows that theDOC concentration of a lake depends on its environmentalproperties, especially on permafrost extent and ecoregion, aswell as vegetation, which is the most important driver of lakeDOC in this study. This new dataset will be fundamental toquantify a pan-Arctic lake DOC pool for estimations of theimpact of lake DOC on the global carbon cycle and climatechange.
    Repository Name: EPIC Alfred Wegener Institut
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  • 9
    Publication Date: 2024-01-31
    Description: Arctic river deltas and deltaic near-shore zones represent important land–ocean transition zones influencing sediment dynamics and nutrient fluxes from permafrost-affected terrestrial ecosystems into the coastal Arctic Ocean. To accurately model fluvial carbon and freshwater export from rapidly changing river catchments as well as assess impacts of future change on the Arctic shelf and coastal ecosystems, we need to understand the sea floor characteristics and topographic variety of the coastal zones. To date, digital bathymetrical data from the poorly accessible, shallow, and large areas of the eastern Siberian Arctic shelves are sparse. We have digitized bathymetrical information for nearly 75 000 locations from large-scale (1:25 000–1:500 000) current and historical nautical maps of the Lena Delta and the Kolyma Gulf region in northeastern Siberia. We present the first detailed and seamless digital models of coastal zone bathymetry for both delta and gulf regions in 50 and 200 m spatial resolution. We validated the resulting bathymetry layers using a combination of our own water depth measurements and a collection of available depth measurements, which showed a strong correlation (r〉0.9). Our bathymetrical models will serve as an input for a high-resolution coupled hydrodynamic–ecosystem model to better quantify fluvial and coastal carbon fluxes to the Arctic Ocean, but they may be useful for a range of other studies related to Arctic delta and near-shore dynamics such as modeling of submarine permafrost, near-shore sea ice, or shelf sediment transport. The new digital high-resolution bathymetry products are available on the PANGAEA data set repository for the Lena Delta (https://doi.org/10.1594/PANGAEA.934045; Fuchs et al., 2021a) and Kolyma Gulf region (https://doi.org/10.1594/PANGAEA.934049; Fuchs et al., 2021b), respectively. Likewise, the depth validation data are available on PANGAEA as well (https://doi.org/10.1594/PANGAEA.933187; Fuchs et al., 2021c).
    Repository Name: EPIC Alfred Wegener Institut
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  • 10
    Publication Date: 2024-01-19
    Repository Name: EPIC Alfred Wegener Institut
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  • 11
    Publication Date: 2024-04-19
    Repository Name: EPIC Alfred Wegener Institut
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  • 12
    Publication Date: 2024-04-17
    Description: TR17-08, a marine sedimentary core (14.6 m), was collected during 2017 from the Edisto Inlet (Ross Sea, Antarctica), a small fjord near Cape Hallett. The core is characterized by expanded laminated sedimentary sequences making it suitable for studying submillennial processes during the Early Holocene. By studying different well-known foraminifera species (Globocassidulina biora, G. subglobosa, Trifarina angulosa, Nonionella iridea, Epistominella exigua, Stainforthia feylingi, Miliammina arenacea, Paratrochammina bartrami and Portatrochammina antarctica), we were able to identify five different foraminiferal assemblages over the last ∼ 2000 years BP. Comparison with diatom assemblages and other geochemical proxies retrieved from nearby sediment cores in the Edisto Inlet (BAY05-20 and HLF17-1) made it possible to distinguish three different phases characterized by different environmental settings: (1) a seasonal phase (from 2012 to 1486 years BP) characterized by the dominance of calcareous species, indicating a seasonal opening of the inlet by more frequent events of melting of the sea-ice cover during the austral summer and, in general, a higher-productivity, more open and energetic environment; (2) a transitional phase (from 1486 to 696 years BP) during which the fjord experienced less extensive sea-ice melting, enhanced oxygen-poor conditions and carbonate dissolution conditions, indicated by the shifts from calcareous-dominated association to agglutinated-dominated association probably due to a freshwater input from the retreat of three local glaciers at the start of this period; and (3) a cooler phase (from 696 years BP to present) during which the sedimentation rate decreased and few to no foraminiferal specimens were present, indicating ephemeral openings or a more prolonged cover of the sea ice during the austral summer, affecting the nutrient supply and the sedimentation regime.
    Description: Published
    Description: 95–115
    Description: OSA2: Evoluzione climatica: effetti e loro mitigazione
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 13
    Publication Date: 2024-04-11
    Description: 〈jats:p〉Abstract. The risk of carbon emissions from permafrost ground is linked to ground temperature and thus in particular to thermal insulation by vegetation and organic soil layers in summer and snow cover in winter. This ground insulation is strongly influenced by the presence of large herbivorous animals browsing for food. In this study, we examine the potential impact of large herbivore presence on the ground carbon storage in thermokarst landscapes of northeastern Siberia. Our aim is to understand how intensive animal grazing may affect permafrost thaw and hence organic matter decomposition, leading to different ground carbon storage, which is significant in the active layer. Therefore, we analysed sites with differing large herbivore grazing intensity in the Pleistocene Park near Chersky and measured maximum thaw depth, total organic carbon content and decomposition state by δ13C isotope analysis. In addition, we determined sediment grain size composition as well as ice and water content. We found the thaw depth to be shallower and carbon storage to be higher in intensively grazed areas compared to extensively and non-grazed sites in the same thermokarst basin. The intensive grazing presumably leads to a more stable thermal ground regime and thus to increased carbon storage in the thermokarst deposits and active layer. However, the high carbon content found within the upper 20 cm on intensively grazed sites could also indicate higher carbon input rather than reduced decomposition, which requires further studies. We connect our findings to more animal trampling in winter, which causes snow disturbance and cooler winter ground temperatures during the average annual 225 days below freezing. This winter cooling overcompensates ground warming due to the lower insulation associated with shorter heavily grazed vegetation during the average annual 140 thaw days. We conclude that intensive grazing influences the carbon storage capacities of permafrost areas and hence might be an actively manageable instrument to reduce net carbon emission from these sites. 〈/jats:p〉
    Repository Name: EPIC Alfred Wegener Institut
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  • 14
    Publication Date: 2024-05-17
    Description: In this study, the first fully continuous monitoring of water vapour isotopic composition at Neumayer Station III, Antarctica, during the 2-year period from February 2017 to January 2019 is presented. Seasonal and synoptic-scale variations in both stable water isotopes H182O and HDO are reported, and their links to variations in key meteorological variables are analysed. In addition, the diurnal cycle of isotope variations during the summer months (December and January 2017/18 and 2018/19) has been examined. Changes in local temperature and specific humidity are the main drivers for the variability in δ18O and δD in vapour at Neumayer Station III, on both seasonal and shorter timescales. In contrast to the measured δ18O and δD variations, no seasonal cycle in the Deuterium excess signal (d) in vapour is detected. However, a rather high uncertainty in measured d values especially in austral winter limits the confidence of this finding. Overall, the d signal shows a stronger inverse correlation with specific humidity than with temperature, and this inverse correlation between d and specific humidity is stronger for the cloudy-sky conditions than for clear-sky conditions during summertime. Back-trajectory simulations performed with the FLEXPART model show that seasonal and synoptic variations in δ18O and δD in vapour coincide with changes in the main sources of water vapour transported to Neumayer Station III. In general, moisture transport pathways from the east lead to higher temperatures and more enriched δ18O values in vapour, while weather situations with southerly winds lead to lower temperatures and more depleted δ18O values. However, on several occasions, δ18O variations linked to wind direction changes were observed, which were not accompanied by a corresponding temperature change. Comparing isotopic compositions of water vapour at Neumayer Station III and snow samples taken in the vicinity of the station reveals almost identical slopes, both for the δ18O–δD relation and for the temperature–δ18O relation.
    Repository Name: EPIC Alfred Wegener Institut
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  • 15
    Publication Date: 2024-05-14
    Description: The thermokarst lakes of permafrost regions play a major role in the global carbon cycle. These lakes are sources of methane to the atmosphere although the methane flux is restricted by an ice cover for most of the year. How methane concentrations and fluxes in these waters are affected by the presence of an ice cover is poorly understood. To relate water body morphology, ice formation and methane to each other, we studied the ice of three different water bodies in locations typical of the transition of permafrost from land to ocean in a continuous permafrost coastal region in Siberia. In total, 11 ice cores were analyzed as records of the freezing process and methane composition during the winter season. The three water bodies differed in terms of connectivity to the sea, which affected fall freezing. The first was a bay underlain by submarine permafrost (Tiksi Bay, BY), the second a shallow thermokarst lagoon cut off from the sea in winter (Polar Fox Lagoon, LG) and the third a land-locked freshwater thermokarst lake (Goltsovoye Lake, LK). Ice on all water bodies was mostly methane-supersaturated with respect to atmospheric equilibrium concentration, except for three cores from the isolated lake. In the isolated thermokarst lake, ebullition from actively thawing basin slopes resulted in the localized integration of methane into winter ice. Stable δ13C-CH4 isotope signatures indicated that methane in the lagoon ice was oxidized to concentrations close to or below the calculated atmospheric equilibrium concentration. Increasing salinity during winter freezing led to a micro-environment on the lower ice surface where methane oxidation occurred and the lagoon ice functioned as a methane sink. In contrast, the ice of the coastal marine environment was slightly supersaturated with methane, consistent with the brackish water below. Our interdisciplinary process study shows how water body morphology affects ice formation which mitigates methane fluxes to the atmosphere.
    Repository Name: EPIC Alfred Wegener Institut
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  • 16
    Publication Date: 2024-05-29
    Description: Data from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition allowed us to investigate the temporal dynamics of snowfall, snow accumulation and erosion in great detail for almost the whole accumulation season (November 2019 to May 2020). We computed cumulative snow water equivalent (SWE) over the sea ice based on snow depth and density retrievals from a SnowMicroPen and approximately weekly measured snow depths along fixed transect paths. We used the derived SWE from the snow cover to compare with precipitation sensors installed during MOSAiC. The data were also compared with ERA5 reanalysis snowfall rates for the drift track. We found an accumulated snow mass of 38 m SWE between the end of October 2019 and end of April 2020. The initial SWE over first-year ice relative to second-year ice increased from 50 % to 90 % by end of the investigation period. Further, we found that the Vaisala Present Weather Detector 22, an optical precipitation sensor, and installed on a railing on the top deck of research vessel Polarstern, was least affected by blowing snow and showed good agreements with SWE retrievals along the transect. On the contrary, the OTT Pluvio2 pluviometer and the OTT Parsivel2 laser disdrometer were largely affected by wind and blowing snow, leading to too high measured precipitation rates. These are largely reduced when eliminating drifting snow periods in the comparison. ERA5 reveals good timing of the snowfall events and good agreement with ground measurements with an overestimation tendency. Retrieved snowfall from the ship-based Ka-band ARM zenith radar shows good agreements with SWE of the snow cover and differences comparable to those of ERA5. Based on the results, we suggest the Ka-band radar-derived snowfall as an upper limit and the present weather detector on RV Polarstern as a lower limit of a cumulative snowfall range. Based on these findings, we suggest a cumulative snowfall of 72 to 107 m and a precipitation mass loss of the snow cover due to erosion and sublimation as between 47 % and 68 %, for the time period between 31 October 2019 and 26 April 2020. Extending this period beyond available snow cover measurements, we suggest a cumulative snowfall of 98-114 m.
    Repository Name: EPIC Alfred Wegener Institut
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  • 17
    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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  • 18
    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
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 19
    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
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 20
    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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  • 21
    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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  • 22
    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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  • 23
    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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  • 24
    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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  • 25
    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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  • 26
    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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  • 27
    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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  • 28
    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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  • 29
    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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  • 30
    Publication Date: 2023-03-14
    Keywords: Center for Marine Environmental Sciences; CO2; DEPTH, water; Event label; Great_Sippewissett_marsh; Habitat; MARUM; Massachusetts, United States of America; Michigan, United States; Oxygen; Parker_River; pH; Plum_Island_Estuary_marshes; profiles; salt marsh; tidal pond; Vegetation type
    Type: Dataset
    Format: text/tab-separated-values, 2144 data points
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  • 31
    Publication Date: 2023-03-14
    Keywords: Barium/Calcium ratio; Carbon dioxide, partial pressure; Growth rate per area; Identification; Linear extension; Lithium/Calcium ratio; Magnesium/Calcium ratio; Magnesium/Lithium ratio; pH; pH, standard deviation; Salinity; Species; Temperature, water; Temperature, water, standard deviation; δ11B, borate; δ11B, carbonate; δ11B, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 708 data points
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  • 32
    Publication Date: 2023-03-14
    Keywords: 337-YuV; ALTITUDE; Ayon Island; Bicarbonate ion; Calcium ion; Calculated; Chaun-Chukotka; Chloride ion; Chukotka, Russia; Deposit type; deuterium; heavy oxygen; Holocene; ice wedge; Late Pleistocene; Magnesium ion; pH; Sample ID; Sodium and potassium ions; Stable isotope; Sulfate ion; Total dissolved solids
    Type: Dataset
    Format: text/tab-separated-values, 170 data points
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  • 33
    Publication Date: 2023-03-14
    Keywords: 337-YuV; ALTITUDE; Ayon Island; Bicarbonate ion; Calcium; Chaun-Chukotka; Chloride; Chukotka, Russia; deuterium; Event label; heavy oxygen; Holocene; ice wedge; Late Pleistocene; Latitude of event; Longitude of event; Magnesium; pH; Sample comment; Sample ID; Sodium and potassium ions; Stable isotope; Sulfate; Titration; Total dissolved solids
    Type: Dataset
    Format: text/tab-separated-values, 435 data points
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  • 34
    Publication Date: 2023-03-14
    Description: This dataset includes alkalinity measurements of a loess weathering column experiment, which was conducted under laboratory conditions with atmospheric pCO2.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; DATE/TIME; Duration, number of days; Paleo Modelling; PalMod; pH; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 179 data points
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  • 35
    Publication Date: 2023-03-14
    Description: This dataset includes alkalinity measurements of a loess weathering column experiment, which was conducted under laboratory conditions with saturated pCO2.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; DATE/TIME; Duration, number of days; Paleo Modelling; PalMod; pH; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 175 data points
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  • 36
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; BC; BOX_1BC04; Box corer; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; EMIGAS; EMIGAS-I; Greenhouse gas emission zones in coastal systems: influence of coastal runoff and benthic metabolism; Gulf of Cadiz; Gulf of Cádiz, Atlantic Ocean; Mytilus; North East Atlantic; pH; porewater; Porosity, fractional; Potentiometric; Salinity; sediment; Sediment porosity, determined by water loss after drying to constant temperature; Temperature, water; Titration potentiometric, 794 Basic Titrino (Metrohm); total alkalinity (TA)
    Type: Dataset
    Format: text/tab-separated-values, 54 data points
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  • 37
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; BC; BOX_1GL01; Box corer; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; EMIGAS; EMIGAS-I; Greenhouse gas emission zones in coastal systems: influence of coastal runoff and benthic metabolism; Gulf of Cadiz; Gulf of Cádiz, Atlantic Ocean; Mytilus; North East Atlantic; pH; porewater; Porosity, fractional; Potentiometric; Salinity; sediment; Sediment porosity, determined by water loss after drying to constant temperature; Temperature, water; Titration potentiometric, 794 Basic Titrino (Metrohm); total alkalinity (TA)
    Type: Dataset
    Format: text/tab-separated-values, 99 data points
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  • 38
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; BC; BOX_1GL02; Box corer; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; EMIGAS; EMIGAS-I; Greenhouse gas emission zones in coastal systems: influence of coastal runoff and benthic metabolism; Gulf of Cadiz; Gulf of Cádiz, Atlantic Ocean; Mytilus; North East Atlantic; pH; porewater; Porosity, fractional; Potentiometric; Salinity; sediment; Sediment porosity, determined by water loss after drying to constant temperature; Temperature, water; Titration potentiometric, 794 Basic Titrino (Metrohm); total alkalinity (TA)
    Type: Dataset
    Format: text/tab-separated-values, 94 data points
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  • 39
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; BC; BOX_1GL03; Box corer; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; EMIGAS; EMIGAS-I; Greenhouse gas emission zones in coastal systems: influence of coastal runoff and benthic metabolism; Gulf of Cadiz; Gulf of Cádiz, Atlantic Ocean; Mytilus; North East Atlantic; pH; porewater; Porosity, fractional; Potentiometric; Salinity; sediment; Sediment porosity, determined by water loss after drying to constant temperature; Temperature, water; Titration potentiometric, 794 Basic Titrino (Metrohm); total alkalinity (TA)
    Type: Dataset
    Format: text/tab-separated-values, 78 data points
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  • 40
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; BC; BOX_1GL04; Box corer; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; EMIGAS; EMIGAS-I; Greenhouse gas emission zones in coastal systems: influence of coastal runoff and benthic metabolism; Gulf of Cadiz; Gulf of Cádiz, Atlantic Ocean; Mytilus; North East Atlantic; pH; porewater; Porosity, fractional; Potentiometric; Salinity; sediment; Sediment porosity, determined by water loss after drying to constant temperature; Temperature, water; Titration potentiometric, 794 Basic Titrino (Metrohm); total alkalinity (TA)
    Type: Dataset
    Format: text/tab-separated-values, 74 data points
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  • 41
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; BC; BOX_2BC05; Box corer; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; EMIGAS; EMIGAS-I; Greenhouse gas emission zones in coastal systems: influence of coastal runoff and benthic metabolism; Gulf of Cadiz; Gulf of Cádiz, Atlantic Ocean; Mytilus; North East Atlantic; pH; porewater; Porosity, fractional; Potentiometric; Salinity; sediment; Sediment porosity, determined by water loss after drying to constant temperature; Temperature, water; Titration potentiometric, 794 Basic Titrino (Metrohm); total alkalinity (TA)
    Type: Dataset
    Format: text/tab-separated-values, 64 data points
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  • 42
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; BC; BOX_2BC04; Box corer; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; EMIGAS; EMIGAS-I; Greenhouse gas emission zones in coastal systems: influence of coastal runoff and benthic metabolism; Gulf of Cadiz; Gulf of Cádiz, Atlantic Ocean; Mytilus; North East Atlantic; pH; porewater; Porosity, fractional; Potentiometric; Salinity; sediment; Sediment porosity, determined by water loss after drying to constant temperature; Temperature, water; Titration potentiometric, 794 Basic Titrino (Metrohm); total alkalinity (TA)
    Type: Dataset
    Format: text/tab-separated-values, 53 data points
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  • 43
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; BC; BOX_2GL02; Box corer; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; EMIGAS; EMIGAS-I; Greenhouse gas emission zones in coastal systems: influence of coastal runoff and benthic metabolism; Gulf of Cadiz; Gulf of Cádiz, Atlantic Ocean; Mytilus; North East Atlantic; pH; porewater; Porosity, fractional; Potentiometric; Salinity; sediment; Sediment porosity, determined by water loss after drying to constant temperature; Temperature, water; Titration potentiometric, 794 Basic Titrino (Metrohm); total alkalinity (TA)
    Type: Dataset
    Format: text/tab-separated-values, 89 data points
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  • 44
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; BC; BOX_2GL01; Box corer; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; EMIGAS; EMIGAS-I; Greenhouse gas emission zones in coastal systems: influence of coastal runoff and benthic metabolism; Gulf of Cadiz; Gulf of Cádiz, Atlantic Ocean; Mytilus; North East Atlantic; pH; porewater; Porosity, fractional; Potentiometric; Salinity; sediment; Sediment porosity, determined by water loss after drying to constant temperature; Temperature, water; Titration potentiometric, 794 Basic Titrino (Metrohm); total alkalinity (TA)
    Type: Dataset
    Format: text/tab-separated-values, 91 data points
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  • 45
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; BC; BOX_2GL03; Box corer; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; EMIGAS; EMIGAS-I; Greenhouse gas emission zones in coastal systems: influence of coastal runoff and benthic metabolism; Gulf of Cadiz; Gulf of Cádiz, Atlantic Ocean; Mytilus; North East Atlantic; pH; porewater; Porosity, fractional; Potentiometric; Salinity; sediment; Sediment porosity, determined by water loss after drying to constant temperature; Temperature, water; Titration potentiometric, 794 Basic Titrino (Metrohm); total alkalinity (TA)
    Type: Dataset
    Format: text/tab-separated-values, 81 data points
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  • 46
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; BC; BOX_3BC01; Box corer; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; EMIGAS; EMIGAS-I; Greenhouse gas emission zones in coastal systems: influence of coastal runoff and benthic metabolism; Gulf of Cadiz; Gulf of Cádiz, Atlantic Ocean; Mytilus; North East Atlantic; pH; porewater; Porosity, fractional; Potentiometric; Salinity; sediment; Sediment porosity, determined by water loss after drying to constant temperature; Temperature, water; Titration potentiometric, 794 Basic Titrino (Metrohm); total alkalinity (TA)
    Type: Dataset
    Format: text/tab-separated-values, 56 data points
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  • 47
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; BC; BOX_3BC02; Box corer; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; EMIGAS; EMIGAS-I; Greenhouse gas emission zones in coastal systems: influence of coastal runoff and benthic metabolism; Gulf of Cadiz; Gulf of Cádiz, Atlantic Ocean; Mytilus; North East Atlantic; pH; porewater; Porosity, fractional; Potentiometric; Salinity; sediment; Sediment porosity, determined by water loss after drying to constant temperature; Temperature, water; Titration potentiometric, 794 Basic Titrino (Metrohm); total alkalinity (TA)
    Type: Dataset
    Format: text/tab-separated-values, 59 data points
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  • 48
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; BC; BOX_3BC04; Box corer; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; EMIGAS; EMIGAS-I; Greenhouse gas emission zones in coastal systems: influence of coastal runoff and benthic metabolism; Gulf of Cadiz; Gulf of Cádiz, Atlantic Ocean; Mytilus; North East Atlantic; pH; porewater; Porosity, fractional; Potentiometric; Salinity; sediment; Sediment porosity, determined by water loss after drying to constant temperature; Temperature, water; Titration potentiometric, 794 Basic Titrino (Metrohm); total alkalinity (TA)
    Type: Dataset
    Format: text/tab-separated-values, 19 data points
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  • 49
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; BC; BOX_3BC03; Box corer; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; EMIGAS; EMIGAS-I; Greenhouse gas emission zones in coastal systems: influence of coastal runoff and benthic metabolism; Gulf of Cadiz; Gulf of Cádiz, Atlantic Ocean; Mytilus; North East Atlantic; pH; porewater; Porosity, fractional; Potentiometric; Salinity; sediment; Sediment porosity, determined by water loss after drying to constant temperature; Temperature, water; Titration potentiometric, 794 Basic Titrino (Metrohm); total alkalinity (TA)
    Type: Dataset
    Format: text/tab-separated-values, 14 data points
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  • 50
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; BC; BOX_3BC05; Box corer; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; EMIGAS; EMIGAS-I; Greenhouse gas emission zones in coastal systems: influence of coastal runoff and benthic metabolism; Gulf of Cadiz; Gulf of Cádiz, Atlantic Ocean; Mytilus; North East Atlantic; pH; porewater; Porosity, fractional; Potentiometric; Salinity; sediment; Sediment porosity, determined by water loss after drying to constant temperature; Temperature, water; Titration potentiometric, 794 Basic Titrino (Metrohm); total alkalinity (TA)
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 51
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; BC; BOX_3GL01; Box corer; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; EMIGAS; EMIGAS-I; Greenhouse gas emission zones in coastal systems: influence of coastal runoff and benthic metabolism; Gulf of Cadiz; Gulf of Cádiz, Atlantic Ocean; Mytilus; North East Atlantic; pH; porewater; Porosity, fractional; Potentiometric; Salinity; sediment; Sediment porosity, determined by water loss after drying to constant temperature; Temperature, water; Titration potentiometric, 794 Basic Titrino (Metrohm); total alkalinity (TA)
    Type: Dataset
    Format: text/tab-separated-values, 67 data points
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  • 52
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; BC; BOX_3GL02; Box corer; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; EMIGAS; EMIGAS-I; Greenhouse gas emission zones in coastal systems: influence of coastal runoff and benthic metabolism; Gulf of Cadiz; Gulf of Cádiz, Atlantic Ocean; Mytilus; North East Atlantic; pH; porewater; Porosity, fractional; Potentiometric; Salinity; sediment; Sediment porosity, determined by water loss after drying to constant temperature; Temperature, water; Titration potentiometric, 794 Basic Titrino (Metrohm); total alkalinity (TA)
    Type: Dataset
    Format: text/tab-separated-values, 89 data points
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  • 53
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; BC; BOX_3GL03; Box corer; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; EMIGAS; EMIGAS-I; Greenhouse gas emission zones in coastal systems: influence of coastal runoff and benthic metabolism; Gulf of Cadiz; Gulf of Cádiz, Atlantic Ocean; Mytilus; North East Atlantic; pH; porewater; Porosity, fractional; Potentiometric; Salinity; sediment; Sediment porosity, determined by water loss after drying to constant temperature; Temperature, water; Titration potentiometric, 794 Basic Titrino (Metrohm); total alkalinity (TA)
    Type: Dataset
    Format: text/tab-separated-values, 69 data points
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  • 54
    Publication Date: 2023-03-14
    Keywords: Arctic Ocean; ARK-XXIX/1, TRANSSIZ; BC; Box corer; DEPTH, sediment/rock; Event label; Multicorer with television; pH; pH, Electrode; Polarstern; PS92; PS92/019-19; PS92/027-15; PS92/031-13; PS92/039-5; PS92/040-1; PS92/043-20; PS92/046-15; PS92/047-20; PS92/056-5; Reactive iron and manganese; TVMUC
    Type: Dataset
    Format: text/tab-separated-values, 146 data points
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  • 55
    Publication Date: 2023-03-14
    Keywords: Carbon, inorganic, dissolved; Carbon, organic, particulate; Carbon/Nitrogen ratio; Carbon dioxide, partial pressure; Chlorophyll a; CTD; Date/Time of event; DEPTH, water; Environment; Event label; Latitude of event; Longitude of event; LowpHOX-II; Lowphox-II_T3; Lowphox-II_T5; Nitrate; Nitrite; Nitrogen, organic, particulate; Oxygen, dissolved; pH; Phosphate; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 221 data points
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  • 56
    Publication Date: 2023-03-14
    Keywords: Belyy_Island; Belyy Island; Bicarbonate ion; Calcium; Chloride; cryopegs; DEPTH, sediment/rock; highly mineralized ice wedges; Magnesium; pH; Pollen; polygonal landscapes; Sample ID; Sample type; Sodium and potassium ions; soil temperature changes; spores; Sulfate; Total dissolved solids; Yamal Peninsula, northwestern Siberia
    Type: Dataset
    Format: text/tab-separated-values, 144 data points
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  • 57
    Publication Date: 2023-03-14
    Keywords: Bicarbonate ion; Calcium cation; Chloride/sulfate ratio; Chloride anion; DEPTH, sediment/rock; geochemical conditions; Ice wedges; Magnesium cation; pH; Pollen; polygonal landscapes; Sample ID; Sodium and potassium ions; soil temperature; Soil type; spores; Sulfate anion; Tambey_River; Tambey River; Total dissolved solids; Yamal-Nenets, Russia; Yamal Peninsula
    Type: Dataset
    Format: text/tab-separated-values, 66 data points
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  • 58
    Publication Date: 2023-03-14
    Keywords: Belyy_Island; Belyy Island; Bicarbonate ion; Calcium; Chloride; cryopegs; DEPTH, sediment/rock; highly mineralized ice wedges; Iron; Magnesium; pH; Pollen; polygonal landscapes; Sample ID; Sodium and potassium ions; soil temperature changes; spores; Sulfate; Total dissolved solids; Yamal Peninsula, northwestern Siberia
    Type: Dataset
    Format: text/tab-separated-values, 238 data points
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  • 59
    Publication Date: 2023-03-14
    Keywords: Belyy_Island; Belyy Island; Bicarbonate ion; Calcium; Chloride; cryopegs; DEPTH, sediment/rock; highly mineralized ice wedges; Iron; Magnesium; pH; Pollen; polygonal landscapes; Sample ID; Sodium and potassium ions; soil temperature changes; spores; Sulfate; Total dissolved solids; Yamal Peninsula, northwestern Siberia
    Type: Dataset
    Format: text/tab-separated-values, 85 data points
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  • 60
    Publication Date: 2023-03-14
    Keywords: Bicarbonate ion; Calcium; Chloride; Chloride/sulfate ratio; DEPTH, sediment/rock; Distance, relative; geochemical conditions; Ice wedges; Iron; Magnesium; pH; Pollen; polygonal landscapes; Sample comment; Sample ID; Sodium and potassium ions; soil temperature; spores; Sulfate; Tambey_River; Tambey River; Total dissolved solids; Yamal-Nenets, Russia; Yamal Peninsula
    Type: Dataset
    Format: text/tab-separated-values, 345 data points
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  • 61
    Publication Date: 2023-03-14
    Keywords: Belyy_Island; Belyy Island; Bicarbonate ion; Calcium; Calcium ion; Chloride; Chloride ion; cryopegs; highly mineralized ice wedges; Location; Magnesium; Magnesium ion; pH; Pollen; polygonal landscapes; Sample ID; Sample type; Sodium and potassium ions; soil temperature changes; spores; Sulfate; Sulfate ion; Total dissolved solids; Yamal Peninsula, northwestern Siberia
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 62
    Publication Date: 2023-03-14
    Keywords: acidification; Bermuda, Atlantic Ocean; Date; flat tree oyster; Handheld Multiparameter Instrument, YSI Incorporated, YSI 556 MPS; Isognomon alatus; Knife; KNIFE; manipulated CO2; MulletBay; Oxygen, dissolved; pH; Salinity; seawater flow through system; Tank number; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 9548 data points
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  • 63
    Publication Date: 2023-03-14
    Keywords: acidified seawater; Bermuda, Atlantic Ocean; bivalves growth; Buoyant mass; Date; Height; Knife; KNIFE; Length; Measured using callipers; MulletBay; Oysters; pH; Shell morphometrics; Tank number; Thickness; Weighted
    Type: Dataset
    Format: text/tab-separated-values, 750 data points
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  • 64
    Publication Date: 2023-03-14
    Keywords: alkaline springs; Alkalinity, total; Barium; Calcium; Carbon, inorganic, dissolved; carbonates; Chloride ion; Conductivity, electrolytic; Date/Time of event; Event label; HAND; HI9813-5; ICP-OES, Varian Vista Pro; Ion chromatography (Metrohm 882 Compact IC plus); ITN-ABYSS; Latitude of event; Location; Longitude of event; Magnesium; Multiparameter probe (HI9813-5, Hanna Instruments, Woonsocket, Rhode Island); OM15-1; OM15-11; OM15-12; OM15-2; OM15-3; OM15-4; OM15-5; OM15-6; OM15-8; OM15-9; OM15K-1; OM15K-10; OM15K-11; OM15K-13; OM15K-14; OM15K-16; OM15K-18; OM15K-19; OM15K-2; OM15K-20; OM15K-21; OM15K-22; OM15K-23; OM15K-3; OM15K-4; OM15K-5; OM15K-6; OM15K-7; OM15K-8; OM15K-9; Oman; pH; Potassium; PROMETHEUS; Sample ID; Sampling by hand; Serpentinization; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Water description
    Type: Dataset
    Format: text/tab-separated-values, 510 data points
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  • 65
    Publication Date: 2023-03-14
    Keywords: Bermuda; Bermuda, Atlantic Ocean; coastal estuarine; Date; Environmental variables; Event label; EXP; Experiment; Handheld Multiparameter Instrument, YSI Incorporated, YSI 556 MPS; Mangrove Bay; MangroveBay_A; MangroveBay_B; MangroveBay_C; Oxygen, dissolved; pH; pH variation; Salinity; Station A; Station B; Station C; Station label; Temperature, water; Tidal regime; Tide
    Type: Dataset
    Format: text/tab-separated-values, 480 data points
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  • 66
    Publication Date: 2023-03-14
    Keywords: Conductivity, electrical; DATE/TIME; endorheic lake; hydrologic changes; Lake_George; Lake George, NSW, Australia; Landsat; long record; pH; remote sensing; Sentinel; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 1029 data points
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  • 67
    Publication Date: 2023-03-14
    Keywords: anoxia; arsenic; Atacama Desert; Chile; DEPTH, sediment/rock; Laguna-La-Brava; lithification; Microbial mat; MULT; Multiple investigations; Needle-encased glass electrodes with PA-2000 picoammeter (Unisense); Oxygen; pH; Sulfide; Sulfur
    Type: Dataset
    Format: text/tab-separated-values, 246 data points
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  • 68
    Publication Date: 2023-03-14
    Keywords: anoxia; arsenic; Atacama Desert; Chile; DEPTH, sediment/rock; Laguna-La-Brava; lithification; Microbial mat; MULT; Multiple investigations; Needle-encased glass electrodes with PA-2000 picoammeter (Unisense); Oxygen; pH; Sulfide; Sulfur
    Type: Dataset
    Format: text/tab-separated-values, 234 data points
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  • 69
    Publication Date: 2023-03-14
    Keywords: Bolivian Amazon; climate; Density, dry bulk; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Lake level; land use change; Livingstone piston corer; Llanos de Moxos; LPC; LR398; Multi-Sensor Core Logger (MSCL-XYZ), GEOTEK; Shallow lake
    Type: Dataset
    Format: text/tab-separated-values, 447 data points
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  • 70
    Publication Date: 2023-03-14
    Keywords: Bolivian Amazon; climate; Density, dry bulk; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; GCUWI; Gravity corer, UWITEC; Lake level; land use change; Llanos de Moxos; LR400; Multi-Sensor Core Logger (MSCL-XYZ), GEOTEK; Shallow lake
    Type: Dataset
    Format: text/tab-separated-values, 372 data points
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  • 71
    Publication Date: 2023-03-14
    Keywords: Bolivian Amazon; Carbon, total; Carbon/Nitrogen ratio; climate; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Element analyser CNS, vario EL Cube; Isotope Ratio Mass Spectrometer, IsoPrime; Lake level; land use change; Livingstone piston corer; Llanos de Moxos; LPC; LR398; Nitrogen, total; Shallow lake; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 358 data points
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  • 72
    Publication Date: 2023-03-14
    Keywords: Bolivian Amazon; Carbon, total; Carbon/Nitrogen ratio; climate; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Element analyser CNS, vario EL Cube; GCUWI; Gravity corer, UWITEC; Lake level; land use change; Llanos de Moxos; LR400; Nitrogen, total; Shallow lake
    Type: Dataset
    Format: text/tab-separated-values, 625 data points
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  • 73
    Publication Date: 2023-03-14
    Keywords: Bolivian Amazon; climate; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Grain size, Mastersizer 2000, Malvern Instrument Inc., Corg free; Grain size, mean; Lake level; land use change; Livingstone piston corer; Llanos de Moxos; LPC; LR398; Median, grain size; Mode, grain size; Shallow lake; Size fraction 0.002-0.00002 mm; Size fraction 0.063-0.002 mm, silt, mud; Size fraction 2.000-0.063 mm, sand
    Type: Dataset
    Format: text/tab-separated-values, 456 data points
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  • 74
    Publication Date: 2023-03-14
    Keywords: Bolivian Amazon; climate; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; GCUWI; Grain size, Mastersizer 2000, Malvern Instrument Inc., Corg free; Grain size, mean; Gravity corer, UWITEC; Lake level; land use change; Llanos de Moxos; LR400; Median, grain size; Mode, grain size; Shallow lake; Size fraction 0.002-0.00002 mm; Size fraction 0.063-0.002 mm, silt, mud; Size fraction 2.000-0.063 mm, sand
    Type: Dataset
    Format: text/tab-separated-values, 1000 data points
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  • 75
    Publication Date: 2023-03-14
    Keywords: Bolivian Amazon; climate; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Lake level; land use change; Livingstone piston corer; Llanos de Moxos; LPC; LR398; Shallow lake; Water content, wet mass; Weight loss after drying
    Type: Dataset
    Format: text/tab-separated-values, 447 data points
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  • 76
    Publication Date: 2023-03-14
    Keywords: Aluminium; Argon; Barium; Bolivian Amazon; Calcium; Chromium; climate; Copper; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Elements, total; Iron; Lake level; land use change; Livingstone piston corer; Llanos de Moxos; LPC; LR398; Manganese; Mean squared error; Neodymium; Nickel; Potassium; Rubidium; Samarium; Shallow lake; Silicon; Strontium; Terbium; Thulium; Titanium; X-ray fluorescence ITRAX core scanner, Mo-tube 35kV 35mA 10s; Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 19604 data points
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  • 77
    Publication Date: 2023-03-14
    Keywords: Bolivian Amazon; climate; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; GCUWI; Gravity corer, UWITEC; Lake level; land use change; Llanos de Moxos; LR400; Shallow lake; Water content, wet mass; Weight loss after drying
    Type: Dataset
    Format: text/tab-separated-values, 372 data points
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  • 78
    Publication Date: 2023-03-14
    Keywords: Aluminium; Argon; Barium; Bolivian Amazon; Calcium; Chromium; climate; Copper; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Elements, total; GCUWI; Gravity corer, UWITEC; Iron; Lake level; land use change; Llanos de Moxos; LR400; Manganese; Mean squared error; Neodymium; Nickel; Potassium; Rubidium; Samarium; Shallow lake; Silicon; Strontium; Terbium; Thulium; Titanium; X-ray fluorescence ITRAX core scanner, Mo-tube 35kV 35mA 10s; Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 15834 data points
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  • 79
    Publication Date: 2023-03-14
    Keywords: Aluminium; Bolivian Amazon; climate; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; GCUWI; Gravity corer, UWITEC; ICP-OES; Iron; Lake level; land use change; Llanos de Moxos; LR400; Sample ID; Shallow lake; Silicon
    Type: Dataset
    Format: text/tab-separated-values, 216 data points
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  • 80
    Publication Date: 2023-03-14
    Keywords: aragonite saturation state; Aragonite saturation state; Calculated based on the ƒCO2 and the pH; Carbon, inorganic, dissolved; Carbon dioxide, partial pressure; Corals; Costa Rica; DATE/TIME; DEPTH, water; dissolved oxygen; Gulf of Papagayo; Gulf of Papagayo, Culebra Bay, Costa Rica; Leibniz Centre for Tropical Marine Research; Marina_Papagayo; Multiprobe, WTW 340i; Orion ROSS electrode and an Orion StarTM; Oxygen; pCO2; pH; Salinity; Sea surface temperature; SUNDANS; Surface UNderway carbon Dioxide partial pressure ANalySer; Time in days; Upwelling; WTW Cond 3310; ZMT
    Type: Dataset
    Format: text/tab-separated-values, 504 data points
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  • 81
    Publication Date: 2023-03-14
    Keywords: B1; B2; B3; B4; B5; B6; B7; B8; bog; Capitulum, dry weight; Capitulum, water content; Capitulum, width; Capitulum density; Carbon; Carbon/Nitrogen ratio; Elemental analyzer CHNS-O (EA1110); Elevation of event; Event label; Fascicle density; fen; functional plant trait; HL_HRS; HL_IS; HL_KAL; HL_KLA; HL_KS; HL_LA; HL_TE; Latitude of event; Longitude of event; Mire; mire succession; Moisture index; Nitrogen; Northern_peatlands_B1; Northern_peatlands_B2; Northern_peatlands_B3; Northern_peatlands_B4; Northern_peatlands_B5; Northern_peatlands_B6; Northern_peatlands_B7; Northern_peatlands_B8; Northern_peatlands_HL_HRS; Northern_peatlands_HL_IS; Northern_peatlands_HL_KAL; Northern_peatlands_HL_KLA; Northern_peatlands_HL_KS; Northern_peatlands_HL_LA; Northern_peatlands_HL_TE; Northern_peatlands_S1; Northern_peatlands_S13; Northern_peatlands_S2; Northern_peatlands_S3; Northern_peatlands_S31; Northern_peatlands_S33; Northern_peatlands_S4; Northern_peatlands_S41; Northern_peatlands_S42; Northern_peatlands_S5; Northern_peatlands_S51; Northern_peatlands_S53; Northern_peatlands_S6; Northern_peatlands_u10; Northern_peatlands_u13; Northern_peatlands_u14; Northern_peatlands_u16; Northern_peatlands_u18; Northern_peatlands_u2; Northern_peatlands_u24; Northern_peatlands_u26; Northern_peatlands_u29; Northern_peatlands_u33; Northern_peatlands_u43; Northern_peatlands_u52; Northern_peatlands_u62; Northern_peatlands_u65; Northern_peatlands_u70; Optional event label; Peatland; Peat thickness; pH; S1; S13; S2; S3; S31; S33; S4; S41; S42; S5; S51; S53; S6; Species; u10; u13; u14; u16; u18; u2; u24; u26; u29; u33; u43; u52; u62; u65; u70
    Type: Dataset
    Format: text/tab-separated-values, 4199 data points
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  • 82
    Publication Date: 2023-03-14
    Keywords: B1; B2; B3; B4; B5; B6; B7; B8; bog; Carbon; Carbon/Nitrogen ratio; Elemental analyzer CHNS-O (EA1110); Elevation of event; Event label; fen; functional plant trait; HL_HRS; HL_IS; HL_KAL; HL_KLA; HL_KS; HL_LA; HL_TE; Latitude of event; Leave size; Longitude of event; Measured using software ImageJ; Mire; mire succession; Moisture index; Nitrogen; Northern_peatlands_B1; Northern_peatlands_B2; Northern_peatlands_B3; Northern_peatlands_B4; Northern_peatlands_B5; Northern_peatlands_B6; Northern_peatlands_B7; Northern_peatlands_B8; Northern_peatlands_HL_HRS; Northern_peatlands_HL_IS; Northern_peatlands_HL_KAL; Northern_peatlands_HL_KLA; Northern_peatlands_HL_KS; Northern_peatlands_HL_LA; Northern_peatlands_HL_TE; Northern_peatlands_S1; Northern_peatlands_S11; Northern_peatlands_S2; Northern_peatlands_S3; Northern_peatlands_S31; Northern_peatlands_S33; Northern_peatlands_S4; Northern_peatlands_S41; Northern_peatlands_S42; Northern_peatlands_S5; Northern_peatlands_S51; Northern_peatlands_S53; Northern_peatlands_S6; Northern_peatlands_u10; Northern_peatlands_u13; Northern_peatlands_u14; Northern_peatlands_u16; Northern_peatlands_u18; Northern_peatlands_u2; Northern_peatlands_u24; Northern_peatlands_u26; Northern_peatlands_u29; Northern_peatlands_u33; Northern_peatlands_u43; Northern_peatlands_u52; Northern_peatlands_u62; Northern_peatlands_u65; Northern_peatlands_u70; Optional event label; Peatland; Peat thickness; pH; Plant height; S1; S11; S2; S3; S31; S33; S4; S41; S42; S5; S51; S53; S6; Species; Specific leaf area; u10; u13; u14; u16; u18; u2; u24; u26; u29; u33; u43; u52; u62; u65; u70
    Type: Dataset
    Format: text/tab-separated-values, 19294 data points
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  • 83
    Publication Date: 2023-03-14
    Keywords: Africa; Branched glycerol monoalkyl glycerol tetraethers; Branched glycerol monoalkyl glycerol tetraethers, H1020a; Branched glycerol monoalkyl glycerol tetraethers, H1020a, fractional abundance; Branched glycerol monoalkyl glycerol tetraethers, H1020b; Branched glycerol monoalkyl glycerol tetraethers, H1020b, fractional abundance; Branched glycerol monoalkyl glycerol tetraethers, H1020c; Branched glycerol monoalkyl glycerol tetraethers, H1020c, fractional abundance; Branched glycerol monoalkyl glycerol tetraethers, H1034a; Branched glycerol monoalkyl glycerol tetraethers, H1034a, fractional abundance; Branched glycerol monoalkyl glycerol tetraethers, H1034b; Branched glycerol monoalkyl glycerol tetraethers, H1034b, fractional abundance; Branched glycerol monoalkyl glycerol tetraethers, H1034c; Branched glycerol monoalkyl glycerol tetraethers, H1034c, fractional abundance; Branched glycerol monoalkyl glycerol tetraethers, H1048; Branched glycerol monoalkyl glycerol tetraethers, H1048, fractional abundance; brGMGTs; Conductivity, electrical; DATE/TIME; H-brGDGTs; Lake_Chala; Lake Chala; Lake Chala, East Africa; Month; MULT; Multiple investigations; Oxygen, dissolved; pH; Sample ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 2629 data points
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  • 84
    Publication Date: 2023-03-14
    Description: This Dataset serves as supplementary table S2 for our publication (Farfan et al, 2021). It contains all of the mineralogical, oxygen isotope, and Kentucky Lake environmental data compiled for the study, set into nacre-transect space defined by the SIMS-pits taken during oxygen isotope analyses.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Ammonia; Ammonia, standard deviation; aragonite; Chlorine; Chlorine, standard deviation; Conductivity, electrolytic; Conductivity, standard deviation; DATE/TIME; Depth, error; Depth with 1% of photosynthetic active radiation; Distance; Event label; Fractionation factor; Fractionation factor, error; Full width at half maximum; KentuckyLakePearl_1; KentuckyLakePearl_2; KentuckyLakePearl_3; LAKE; Light intensity; Light intensity, standard deviation; mineralogy; Nitrate and Nitrite; Nitrate and Nitrite, standard deviation; Oxidation reduction (RedOx) potential; Oxidation reduction (RedOx) potential, standard deviation; Oxygen, dissolved; Oxygen, dissolved, standard deviation; oxygen isotope; Peak centre; Peak height; pearls; pH; pH, standard deviation; Raman spectrometry; Raman spectroscopy; Ratio; Sample ID; Sampling lake; Secondary ion mass spectrometry (SIMS); Silicon dioxide; Silicon dioxide, standard deviation; Standard deviation; Sulfate; Sulfate, standard deviation; Temperature, standard deviation; Temperature, water; Thickness; Thickness, standard error; Transect; Turbidity, standard deviation; Turbidity (Nephelometric turbidity unit); δ18O; δ18O, aragonite; δ18O, standard error
    Type: Dataset
    Format: text/tab-separated-values, 29870 data points
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  • 85
    Publication Date: 2023-03-14
    Description: Offshore wind energy is a steadily growing sector contributing to the worldwide energy production. The impact of these offshore constructions on the marine environment, however, remains unclear in many aspects. In fact, little is known about potential emissions from corrosion protection systems such as organic coatings or galvanic anodes composed of Al and Zn alloys, used to protect offshore structures. In order to assess potential chemical emissions from offshore wind farms and their impact on the marine environment water and sediment samples were taken in the surroundings of offshore wind farms of the German Bight between 25.07.2016 and 02.08.2016. At every sampling station oceanographic parameters were measured directly on board with respective probes of a multimeter covering pH, dissolved oxygen, temperature and conductivity.
    Keywords: Conductivity, electrical; Date/Time of event; Event label; Helmholtz-Zentrum Hereon; Hereon; Latitude of event; Longitude of event; LP20160725; LP20160725_Stat_1_2; LP20160725_Stat_10_2; LP20160725_Stat_11_3; LP20160725_Stat_12_3; LP20160725_Stat_13_3; LP20160725_Stat_14_2; LP20160725_Stat_15_3; LP20160725_Stat_16_3; LP20160725_Stat_17_2; LP20160725_Stat_18_3; LP20160725_Stat_19_3; LP20160725_Stat_2_2; LP20160725_Stat_20_3; LP20160725_Stat_21_3; LP20160725_Stat_22_3; LP20160725_Stat_23_2; LP20160725_Stat_24_3; LP20160725_Stat_25_2; LP20160725_Stat_26_3; LP20160725_Stat_27_3; LP20160725_Stat_28_3; LP20160725_Stat_29_3; LP20160725_Stat_3_3; LP20160725_Stat_30_3; LP20160725_Stat_31_3; LP20160725_Stat_32_3; LP20160725_Stat_33_3; LP20160725_Stat_34_3; LP20160725_Stat_35_3; LP20160725_Stat_36_3; LP20160725_Stat_37_3; LP20160725_Stat_38_3; LP20160725_Stat_39_3; LP20160725_Stat_4_2; LP20160725_Stat_40_3; LP20160725_Stat_41_3; LP20160725_Stat_42_3; LP20160725_Stat_43_3; LP20160725_Stat_44_3; LP20160725_Stat_45_3; LP20160725_Stat_46_3; LP20160725_Stat_47_3; LP20160725_Stat_48_3; LP20160725_Stat_49_3; LP20160725_Stat_5_2; LP20160725_Stat_50_3; LP20160725_Stat_51_3; LP20160725_Stat_52_3; LP20160725_Stat_53_3; LP20160725_Stat_54_3; LP20160725_Stat_55_3; LP20160725_Stat_56_2; LP20160725_Stat_57_2; LP20160725_Stat_6_3; LP20160725_Stat_7_3; LP20160725_Stat_8_3; LP20160725_Stat_9_3; Ludwig Prandtl; Multimeter; North Sea; Oxygen, dissolved; pH; S001; S002; S003; S004; S005; S006; S007; S008; S009; S010; S011; S012; S013; S014; S015; S016; S017; S018; S019; S020; S021; S022; S023; S024; S025; S026; S027; S028; S029; S030; S031; S032; S033; S034; S035; S036; S037; S038; S039; S040; S041; S042; S043; S044; S045; S046; S047; S048; S049; S050; S051; S052; S053; S054; S055; S056; Sample code/label; Station label; Temperature, water; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 342 data points
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  • 86
    Publication Date: 2023-03-14
    Description: Barium (Ba) isotopes are a promising new tracer for riverine freshwater input to the ocean and marine biogeochemical cycling. However, many processes that affect Ba cycling at continental margins have not yet been investigated with respect to Ba isotope fractionation. We present a comprehensive data set of Ba concentration and isotope data for water column, pore water and sediment samples from Kiel Bight, a seasonally stratified and hypoxic fjord in the southwestern Baltic Sea.
    Keywords: AL543; AL543_10-1; AL543_13-1; AL543_8-1; Alkor (1990); Baltic Sea; Barium; CTD/Rosette; CTD-RO; Depth, bathymetric; DEPTH, water; Event label; Manganese; Saturation index; The Little Belt
    Type: Dataset
    Format: text/tab-separated-values, 120 data points
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  • 87
    Publication Date: 2023-03-14
    Description: Barium (Ba) isotopes are a promising new tracer for riverine freshwater input to the ocean and marine biogeochemical cycling. However, many processes that affect Ba cycling at continental margins have not yet been investigated with respect to Ba isotope fractionation. We present a comprehensive data set of Ba concentration and isotope data for water column, pore water and sediment samples from Kiel Bight, a seasonally stratified and hypoxic fjord in the southwestern Baltic Sea.
    Keywords: AL543; AL543_10-1; AL543_13-1; AL543_8-1; Alkor (1990); Baltic Sea; Barium; CTD/Rosette; CTD-RO; DEPTH, water; Event label; Replicates; Standard deviation; The Little Belt; δ138Ba
    Type: Dataset
    Format: text/tab-separated-values, 68 data points
    Location Call Number Expected Availability
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  • 88
    Publication Date: 2023-03-14
    Description: Barium (Ba) isotopes are a promising new tracer for riverine freshwater input to the ocean and marine biogeochemical cycling. However, many processes that affect Ba cycling at continental margins have not yet been investigated with respect to Ba isotope fractionation. We present a comprehensive data set of Ba concentration and isotope data for water column, pore water and sediment samples from Kiel Bight, a seasonally stratified and hypoxic fjord in the southwestern Baltic Sea.
    Keywords: AL543; AL543_10-2; AL543_13-2; AL543_8-4; Alkor (1990); Baltic Sea; Barium; Comment; DEPTH, sediment/rock; Event label; Manganese; MIC; MiniCorer; Replicates; Saturation index; Standard deviation; Sulfate; The Little Belt; δ138Ba
    Type: Dataset
    Format: text/tab-separated-values, 271 data points
    Location Call Number Expected Availability
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  • 89
    Publication Date: 2023-03-14
    Description: Barium (Ba) isotopes are a promising new tracer for riverine freshwater input to the ocean and marine biogeochemical cycling. However, many processes that affect Ba cycling at continental margins have not yet been investigated with respect to Ba isotope fractionation. We present a comprehensive data set of Ba concentration and isotope data for water column, pore water and sediment samples from Kiel Bight, a seasonally stratified and hypoxic fjord in the southwestern Baltic Sea.
    Keywords: AL543; AL543_10-2; AL543_13-2; AL543_8-4; Alkor (1990); Aluminium; Baltic Sea; Barium; Carbon, organic, total; Comment; DEPTH, sediment/rock; Event label; MIC; MiniCorer; Porosity; Replicates; Standard deviation; The Little Belt; Water content, wet mass; δ138Ba
    Type: Dataset
    Format: text/tab-separated-values, 282 data points
    Location Call Number Expected Availability
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  • 90
    Publication Date: 2023-03-14
    Description: Barium (Ba) isotopes are a promising new tracer for riverine freshwater input to the ocean and marine biogeochemical cycling. However, many processes that affect Ba cycling at continental margins have not yet been investigated with respect to Ba isotope fractionation. We present a comprehensive data set of Ba concentration and isotope data for water column, pore water and sediment samples from Kiel Bight, a seasonally stratified and hypoxic fjord in the southwestern Baltic Sea.
    Keywords: Aluminium; Barium; Distance; Event label; HAND; Replicates; Sampling by hand; Schoenhagen; Standard deviation; Stohl; δ138Ba
    Type: Dataset
    Format: text/tab-separated-values, 126 data points
    Location Call Number Expected Availability
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  • 91
    Publication Date: 2023-03-13
    Description: Swiftia phaeton, a new species, is described for Mauritania where it is endemic at the upper bathyal. This azooxanthellate octocoral is distinctive from congeneric species in the NE Atlantic and Mediterranean Sea by the dark red coloration of the colonies and polyps, the presence of a layer of rod sclerites on top of the calyces and different sizes of polyps and sclerites. Coral gardens dominated by a species of the genus Swiftia Duchassaing & Michelotti, 1864 were filmed for the first time it the southern NE Atlantic Ocean. The extensive Swiftia phaeton sp. nov. dominated habitats were recorded during the Phaeton expedition onboard Maria S. Merian in 2010 at the Mauritanian Slope between 20°24N and 17°54N in 470 - 640 m depth, co-occurring with the framework-forming scleractinians Lophelia pertusa (Linnaeus, 1758) and Madrepora oculata (Linnaeus, 1758). ROV video annotation based on size and density distribution of Swiftia enabled the characterization of the new biotope.
    Keywords: ATLAS; A Trans-Atlantic assessment and deep-water ecosystem-based spatial management plan for Europe; Coral garden; Mauritania; NW Africa; Octocorallia; Plexauridae; Taxonomy.; vulnerable marine ecosystem (VME).
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Expected Availability
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  • 92
    Publication Date: 2023-03-14
    Description: Five sites across the Kiel Fjord in the Baltic Sea (GEOMAR Pier: 54.330383 N 10.150683 E, Kiel Canal Entry: 54.361167 N, 10.162533 E, Falckenstein: 54.390217 N, 10.194983 E, Laboe: 54.405633 N, 10.209750 E, and Strande: 54.428267 N, 10.209267 E) were monitored biweekly from June 2013 until October 2020 (with some discontinuities in winter). Depth profiles were taken with a CTD (Sea & Sun Technology, Trappenkamp, CTD 60) recording temperature, salinity, pH, oxygen concentration as well as oxygen saturation. Oxygen and pH were corrected for temperature and salinity based on Standard Data Acquisition SSDA (C)opyright by SST 1999-2006. To avoid showing wrong measurements of the CTD probe, thresholds for the measured parameters were set (Temperature ≤ 25 °C, 8 ≤ Salinity ≥ 23, 5 ≤ pH ≥10, 0 mg L-1 ≤ Oxygen concentration ≥ 12 mg L-1 and 0% ≤ Oxygen Saturation ≥ 120%). Only those values were kept in the data set that did not exceed or fell below these thresholds. Furthermore, station specific depth limits were set (GEOMAR Pier ≤ 19 m, Kiel Canal Entry ≤ 13 m, Falckenstein ≤ 16 m, Laboe ≤ 17 m and Strande ≤ 17 m) and date exceeding of falling below these limits were excluded from the data set.
    Keywords: Baltic Sea; CTD/Rosette; CTD 60 (Sea & Sun Technology GmbH, Germany); CTD-RO; DATE/TIME; DEPTH, water; Event label; Latitude of event; Longitude of event; Oxygen; Oxygen saturation; pH; Salinity; Site_Falckenstein; Site_GEOMAR_Pier; Site_Kiel_Canal_Entry; Site_Laboe; Site_Strande; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 1935236 data points
    Location Call Number Expected Availability
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  • 93
    Publication Date: 2023-03-13
    Keywords: Ablation; ALTITUDE; Antarctic Peninsula; Center; Center_Stake_2014to2015; DATE/TIME; Event label; Front; Front_Stake_2014to2015; Glaciological mass balance; James Ross Island; LATITUDE; Latitude 2; LONGITUDE; Longitude 2; North; North_Stake_2014to2015; Optional event label; S-C-1; S-C-1_Stake_2014to2015; S-C-2; S-C-2_Stake_2014to2015; S-C-2-1; S-C-2-1_Stake_2014to2015; S-C-3; S-C-3_Stake_2014to2015; S-C-4; S-C-4_Stake_2014to2015; S-C-5; S-C-5_Stake_2014to2015; S-F-3; S-F-3_Stake_2014to2015; S-F-4; S-F-4_Stake_2014to2015; S-F-5; S-F-5_Stake_2014to2015; SMB; South; South_Stake_2014to2015; Surface mass balance, ice equivalent; S-W-1; S-W-1_Stake_2014to2015; S-W-2; S-W-2_Stake_2014to2015; S-W-3; S-W-3_Stake_2014to2015; S-W-4; S-W-4_Stake_2014to2015; S-W-5; S-W-5_Stake_2014to2015; S-W-6; S-W-6_Stake_2014to2015; West; West_Stake_2014to2015
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
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  • 94
    Publication Date: 2023-03-13
    Keywords: Calculated after Friedman & O'Neil (1977); Carbon; Cava_dei_Marmi; Cava_Galli_2; Event label; Latitude of event; Location; Longitude of event; major and trace element data; ophicalcites; Oxygen; Sample ID; serpentinites; Strontium, particulate; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, standard deviation; Temperature, calculated; Type; Vein; δ13C; δ13C, standard deviation; δ18O; δ18O, water; δ18O, water, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 243 data points
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  • 95
    Publication Date: 2023-03-13
    Description: The submitted datasets contain surface seawater partial pressure of carbon dioxide (pCO2) values measured with Kongsberg Contros/4H-Jena HydroC-FT membrane-based sensors. These sensors were integrated on the FerryBox installed on the commercial vessel Hafnia Sea (DFDS Seaways shipping company) travelling in the North Sea and maintained by the Coastal Research group at the Helmholtz-Zentrum Geesthacht, Germany. The pCO2 data were reprocessed from the raw data and corrected for sensor post-calibration where this was available. The instrument produces a result every second. 20-second averages are used for calculations and reported. Temperature and salinity results are also provided where available. These were measured from the underway with Falmouth Scientific Instruments/ Teledyne Instruments sensors also integrated with the FerryBox. The sensors were regularly maintained and occasionally replaced.
    Keywords: CONTROS HydroC CO2 FT sensor; DATE/TIME; FBOX; FerryBox; Hafnia_North-Sea; Hafnia20170712; HAFNIA SEA; Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; Hereon; HZG; LATITUDE; LONGITUDE; North Sea; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pCO2; Salinity; Salinity sensor (Teledyne RD Instruments); Temperature, water; Temperature sensor (Falmouth Scientific)
    Type: Dataset
    Format: text/tab-separated-values, 819286 data points
    Location Call Number Expected Availability
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  • 96
    Publication Date: 2023-03-13
    Description: The submitted datasets contain surface seawater partial pressure of carbon dioxide (pCO2) values measured with Kongsberg Contros/4H-Jena HydroC-FT membrane-based sensors. These sensors were integrated on the FerryBox installed on the commercial vessel Lysbris Seaways (DFDS Seaways shipping company) travelling in the North Sea and maintained by the Coastal Research group at the Helmholtz-Zentrum Geesthacht, Germany. The pCO2 data were reprocessed from the raw data and corrected for sensor post-calibration where this was available. The instrument produces a result every second. 20-second averages are used for calculations and reported. Temperature and salinity results are also provided where available. These were measured from the underway with Falmouth Scientific Instruments/ Teledyne Instruments sensors also integrated with the FerryBox. The sensors were regularly maintained and occasionally replaced.
    Keywords: CONTROS HydroC CO2 FT sensor; DATE/TIME; FBOX; FerryBox; Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; Hereon; HZG; LATITUDE; LONGITUDE; Lysbris_North-Sea; Lysbris20150221; LYSBRIS SEAWAYS; North Sea; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pCO2; Salinity; Salinity sensor (Teledyne RD Instruments); Temperature, water; Temperature sensor (Falmouth Scientific)
    Type: Dataset
    Format: text/tab-separated-values, 196315 data points
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  • 97
    Publication Date: 2023-03-13
    Description: The submitted datasets contain surface seawater partial pressure of carbon dioxide (pCO2) values measured with Kongsberg Contros/4H-Jena HydroC-FT membrane-based sensors. These sensors were integrated on the FerryBox installed on the commercial vessel Lysbris Seaways (DFDS Seaways shipping company) travelling in the North Sea and maintained by the Coastal Research group at the Helmholtz-Zentrum Geesthacht, Germany. The pCO2 data were reprocessed from the raw data and corrected for sensor post-calibration where this was available. The instrument produces a result every second. 20-second averages are used for calculations and reported. Temperature and salinity results are also provided where available. These were measured from the underway with Falmouth Scientific Instruments/ Teledyne Instruments sensors also integrated with the FerryBox. The sensors were regularly maintained and occasionally replaced.
    Keywords: CONTROS HydroC CO2 FT sensor; DATE/TIME; FBOX; FerryBox; Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; Hereon; HZG; LATITUDE; LONGITUDE; Lysbris_North-Sea; Lysbris20180202; LYSBRIS SEAWAYS; North Sea; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pCO2; Salinity; Salinity sensor (Teledyne RD Instruments); Temperature, water; Temperature sensor (Falmouth Scientific)
    Type: Dataset
    Format: text/tab-separated-values, 1822524 data points
    Location Call Number Expected Availability
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  • 98
    Publication Date: 2023-03-13
    Keywords: Ablation; ALTITUDE; Antarctic Peninsula; Center; Center_Stake_2016to2017; Center-2; Center-2_Stake_2016to2017; DATE/TIME; Event label; Glaciological mass balance; James Ross Island; LATITUDE; Latitude 2; LONGITUDE; Longitude 2; Optional event label; S-C-3; S-C-3_Stake_2016to2017; S-C-4; S-C-4_Stake_2016to2017; SMB; Surface mass balance, ice equivalent; S-W-2; S-W-2_Stake_2016to2017; S-W-3; S-W-3_Stake_2016to2017; S-W-4; S-W-4_Stake_2016to2017; S-W-5; S-W-5_Stake_2016to2017; SWW6; SWW6_Stake_2016to2017
    Type: Dataset
    Format: text/tab-separated-values, 27 data points
    Location Call Number Expected Availability
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  • 99
    Publication Date: 2023-03-13
    Keywords: Bonassola_1; Bonassola_2; Bracco_Pass; Carbon; Carro_old_mining_site; Castagnola; Cava_dei_Marmi; Cava_Galli_2; Cava_Piazza; Event label; Latitude of event; Libiola_old_mining_site; Location; Longitude of event; major and trace element data; ophicalcites; Oxygen; Punta_dei_Marmi; Reference/source; Road_SS332_Profile_2; Road_SS332_Profile_4; Road_SS332_Profile_5; Rock type; Sample ID; serpentinites; Strontium, particulate; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, standard deviation; Unit; δ18O; δ18O, standard deviation; δ Deuterium
    Type: Dataset
    Format: text/tab-separated-values, 435 data points
    Location Call Number Expected Availability
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  • 100
    Publication Date: 2023-03-13
    Description: The submitted datasets contain surface seawater partial pressure of carbon dioxide (pCO2) values measured with Kongsberg Contros/4H-Jena HydroC-FT membrane-based sensors. These sensors were integrated on the FerryBox installed on the commercial vessel Hafnia Sea (DFDS Seaways shipping company) travelling in the North Sea and maintained by the Coastal Research group at the Helmholtz-Zentrum Geesthacht, Germany. The pCO2 data were reprocessed from the raw data and corrected for sensor post-calibration where this was available. The instrument produces a result every second. 20-second averages are used for calculations and reported. Temperature and salinity results are also provided where available. These were measured from the underway with Falmouth Scientific Instruments / Teledyne Instruments sensors also integrated with the FerryBox. The sensors were regularly maintained and occasionally replaced.
    Keywords: CONTROS HydroC CO2 FT sensor; DATE/TIME; FBOX; FerryBox; Hafnia_North-Sea; Hafnia20160120; HAFNIA SEA; Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; Hereon; HZG; LATITUDE; LONGITUDE; North Sea; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pCO2; Salinity; Salinity sensor (Teledyne RD Instruments); Temperature, water; Temperature sensor (Falmouth Scientific)
    Type: Dataset
    Format: text/tab-separated-values, 678792 data points
    Location Call Number Expected Availability
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