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  • PANGAEA  (423,134)
  • American Association for the Advancement of Science  (369,592)
  • Public Library of Science  (275,023)
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  • 101
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    PANGAEA
    In:  Supplement to: Münch, Thomas; Kipfstuhl, Sepp; Freitag, Johannes; Meyer, Hanno; Laepple, Thomas (2017): Constraints on post-depositional isotope modifications in East Antarctic firn from analysing temporal changes of isotope profiles. The Cryosphere, 11(5), 2175-2188, https://doi.org/10.5194/tc-11-2175-2017
    Publication Date: 2023-03-16
    Description: The isotopic composition of water in ice sheets is extensively used to infer past climate changes. In low-accumulation regions their interpretation is however challenged by poorly constrained effects that may influence the initial isotope signal during and after deposition of the snow. This is reflected in snow-pit isotope data from Kohnen Station, Antarctica, which exhibit a seasonal cycle but also strong inter-annual variations that contradict local temperature observations. These inconsistencies persist even after averaging many profiles and are thus not explained by local stratigraphic noise. Previous studies have suggested that post-depositional processes may significantly influence the isotopic composition of East Antarctic firn. Here, we investigate the importance of post-depositional processes within the open-porous firn (〉 10 cm depth) at Kohnen Station by separating spatial from temporal variability. To this end, we analyse 22 isotope profiles obtained from two snow trenches and examine the temporal isotope modifications by comparing the new with published trench data extracted 2 years earlier. The initial isotope profiles undergo changes over time due to downward-advection, firn diffusion and densification in magnitudes consistent with independent estimates. Beyond that, we find further modifications of the original isotope record to be unlikely, or small in magnitude (〈〈 1 per mil RMSD). These results show that the discrepancy between local temperatures and isotopes most likely originates from spatially coherent processes prior to or during deposition, such as precipitation intermittency or systematic isotope modifications acting on drifting or loose surface snow.
    Keywords: AWI_Envi; AWI_Glac; Glaciology @ AWI; Polar Terrestrial Environmental Systems @ AWI
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 102
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    PANGAEA
    In:  Supplement to: Heinecke, Liv; Epp, Laura Saskia; Reschke, Maria; Stoof-Leichsenring, Kathleen Rosmarie; Mischke, Steffen; Plessen, Birgit; Herzschuh, Ulrike (2017): Aquatic macrophyte dynamics in Lake Karakul (Eastern Pamir) over the last 29 cal ka revealed by sedimentary ancient DNA and geochemical analyses of macrofossil remains. Journal of Paleolimnology, 58(3), 403-417, https://doi.org/10.1007/s10933-017-9986-7
    Publication Date: 2023-03-16
    Description: Due to methodological challenges there are only a few studies that focus on macrophyte dynamics in large lakes despite their notable role in a lake's ecosystem functioning. This study investigates composition and productivity changes of the submerged vegetation of Lake Karakul, Pamir Mountains (Tajikistan), using sedimentary ancient DNA metabarcoding and elemental (C/N) and isotopic (d13C, d15N) measurements of Stuckenia cf. pamirica ((Baagøe) Z.Kaplan; Potamogetonaceae) leaf remains. No Stuckenia cf. pamirica leaf remains were found for 28.7 to 26.1 cal ka BP, when both Potamogetonaceae and Chara (L.) DNA sequences were recorded, suggesting sparse submerged vegetation at the coring site. This agrees with the inference of a deep lake reached using geochemical proxies. From 26.1 to 17.5 cal ka BP a few macrophyte remains and high numbers of Potamogetonaceae sequences were recovered: lake level was probably low, as suggested by other studies on the lake. Another phase of increased numbers of Chara sequences and the absence of Stuckenia cf. pamirica leaf remains was found between 17.5 and 12.2 cal ka BP, which coincides with a lake-level transgression at Lake Karakul as indicated by paleo-shoreline investigations. Analyses of macrophyte remains reveal intermediate paleo-productivity from 6.9 cal ka BP and high paleo-productivity from 2.2 cal ka BP onwards. From comparisons with other studies, we suggest that lake-level changes are the main driver for the submerged vegetation composition and productivity at the coring site in Lake Karakul and underline our conclusions by depicting the present-day distribution of Stuckenia cf. pamirica and Chara within the lake.
    Keywords: AWI_Envi; AWI_PerDyn; Permafrost Research (Periglacial Dynamics) @ AWI; Polar Terrestrial Environmental Systems @ AWI
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 103
    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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  • 104
    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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  • 105
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    PANGAEA
    In:  Supplement to: Schaller, Christoph Florian; Freitag, Johannes; Eisen, Olaf (2017): Gas enclosure in polar firn follows universal law. Climate of the Past Discussions, 12 pp, https://doi.org/10.5194/cp-2017-94
    Publication Date: 2023-03-16
    Description: In order to interpret the paleoclimatic record stored in the air enclosed in polar ice cores, it is crucial to understand the fundamental lock-in process. Within the porous firn, bubbles are sealed continuously until the respective horizontal layer reaches a critical porosity. Present-day firn models use a postulated temperature dependence of this value as the only parameter to adjust to the surrounding conditions of individual sites. However, no direct measurements of the firn microstructure could confirm these assumptions. Here we show that the critical porosity is a universal constant by providing a statistically solid data set of µm-resolution 3D X-ray computer tomographic measurements for ice cores representing different extremes of the temperature and accumulation ranges. We demonstrate why indirect measurements yield misleading data and substantiate our observations by applying percolation theory as a theoretical framework for bubble trapping. Incorporation of our results does significantly influence the dating of trace gas records, changing gas age-ice age differences by up to more than 1000 years. This will help resolve inconsistencies, such as differences between East Antarctic d15N records (as a proxy for firn height) and model results. We expect our findings to be the basis for improved firn air and densification models, leading to lower dating uncertainties. The reduced coupling of proxies and surrounding conditions may allow for more sophisticated reinterpretations of trace gas records in terms of paleoclimatic changes and will foster the development of new proxies, such as the air content as a marker of local insolation.
    Keywords: AWI_Glac; Glaciology @ AWI
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 106
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    PANGAEA
    In:  Supplement to: Raes, Eric J; Bodrossy, Levente; Van De Kamp, Jodie; Bissett, Andrew; Waite, Anya M (2018): Marine bacterial richness increases towards higher latitudes in the eastern Indian Ocean. Limnology and Oceanography Letters, 3(1), 10-19, https://doi.org/10.1002/lol2.10058
    Publication Date: 2023-03-16
    Description: Abstract: We investigated the bacterial community structure in surface waters along a 2500 km transect in the eastern Indian Ocean. Using high throughput sequencing of the 16S rRNA gene we measured a significant latitudinal increase in bacterial richness from 800 to 1400 OTUs (42% increase; r2=0.65; p〈0.001) from the tropical Timor Sea to the colder temperate waters. Total dissolved inorganic nitrogen, chl a, phytoplankton community structure and primary productivity strongly correlated with bacterial richness (all p〈0.01). Our data suggest that primary productivity drives greater bacterial richness. Because, N2-fixation accounts for up to 50% of new production in this region we tested whether higher N2-fixation rates are linked to a greater nifH diversity. The nifH diversity was dominated by heterotrophic Alphaproteobacteria, Betaproteobacteria, and Gammaproteobacteria. We did not found any mechanistic links between nifH amplicon data, bacterial richness and primary productivity due to the overall low nifH evenness in this region. Scientific statement: Geographic gradients of marine microbial diversity is currently thought to be explained by two mechanisms, 1) diversity increases with increased productivity, and 2) it increases with increasing temperature. However, conclusive evidence for these mechanisms has been lacking from studies that span gradients in both, and it is unclear which organisms are responsible for the changes in diversity along these gradients. Here we present the first analysis of bacterial richness along the West Australian boundary current, the Leeuwin Current. Our analysis of bacterial richness along a latitudinal gradient in the eastern Indian Ocean shows support for the productivity mechanism rather than the temperature mechanism. Further, we show that bacterial richness increases towards the productive temperate waters are driven by productive eukaryotes (NO3- based) and heterotrophic N2-fixers.
    Keywords: AWI_BioOce; Biological Oceanography @ AWI
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 107
    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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  • 108
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Description: Upper air soundings onboard Polarstern are normally performed once a day to measure vertical profiles of air pressure, temperature, relative humidity and the wind vector. Helium filled balloons (TOTEX 600 g) were used to carry Vaisala RS92-SGP radiosondes. Whenever possible, the launches were carried out shortly before 11 UTC, in order to reach 100 hPa at 12 UTC. Condensed measurements (TEMP Format FM-35, BUFR) were transferred without delay into the Global Telecommunication System GTS, were they contribute to the world wide weather forecast analysis. The profile data were taken every 5 seconds, which results in a vertical resolution of about 25 meter. The profiles start at the helideck 10 m above sea level and terminate at the burst level of the balloons, normally at heights between 25 and 37 km.
    Keywords: AWI_Meteo; Meteorological Long-Term Observations @ AWI
    Type: Dataset
    Format: application/zip, 46 datasets
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  • 109
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    PANGAEA
    In:  Supplement to: Kremer, Anne; Stein, Ruediger; Fahl, Kirsten; Ji, Z; Yang, Z; Wiers, Steffen; Matthiessen, Jens; Forwick, Matthias; Löwemark, Ludvig; O'Regan, Matthew; Chen, Jiaming; Snowball, Ian (2018): Changes in sea ice cover and ice sheet extent at the Yermak Plateau during the last 160 ka - Reconstructions from biomarker records. Quaternary Science Reviews, 182, 93-108, https://doi.org/10.1016/j.quascirev.2017.12.016
    Publication Date: 2023-03-16
    Description: The Yermak Plateau is located north of Svalbard at the entrance to the Arctic Ocean, i.e. in an area highly sensitive to climate change. A multi proxy approach was carried out on Core PS92/039-2 to study glacial-interglacial environmental changes at the northern Barents Sea margin during the last 160 ka. The main emphasis was on the reconstruction of sea ice cover, based on the sea ice proxy IP25 and the related phytoplankton - sea ice index PIP25. Sea ice was present most of the time but showed significant temporal variability decisively affected by movements of the Svalbard Barents Sea Ice Sheet. For the first time, we prove the occurrence of seasonal sea ice at the eastern Yermak Plateau during glacial intervals, probably steered by a major northward advance of the ice sheet and the formation of a coastal polynya in front of it. Maximum accumulation of terrigenous organic carbon, IP25 and the phytoplankton biomarkers (brassicasterol, dinosterol, HBI III) can be correlated to distinct deglaciation events. More severe, but variable sea ice cover prevailed at the Yermak Plateau during interglacials. The general proximity to the sea ice margin is further indicated by biomarker (GDGT) - based sea surface temperatures below 2.5 °C.
    Keywords: Arctic Ocean; ARK-XXIX/1, TRANSSIZ; AWI_Paleo; KAL; Kasten corer; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS92; PS92/039-2
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    Format: application/zip, 4 datasets
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  • 110
    Publication Date: 2023-03-16
    Description: Past sea ice conditions and open water phytoplankton production were reconstructed from a sediment core taken in Disko Bugt, West Greenland, using the sea ice biomarker IP~25~ and other specific phytoplankton biomarker (i.e., brassicasterol, dinosterol, HBI III) records. Our biomarker record indicates that Disko Bugt experienced a gradual expansion of seasonal sea ice during the last 2.2 kyr. Maximum sea ice extent was reached during the Little Ice Age around 0.2 kyr BP. Superimposed on this longer term trend, we find short-term oscillations in open water primary production and terrigenous input, which may be related to the Atlantic Multidecadal Oscillation and solar activity changes as potential climatic trigger mechanisms. A direct sample-to-sample multiproxy comparison of our new biomarker record with microfossil (i.e., benthic foraminifera, dinocysts, and diatoms) and other geochemical records (i.e., alkenone biomarkers) indicates that different proxies are influenced by the complex environmental system with pronounced seasonal changes and strong oceanographic gradients, e.g., freshwater inflow from the Greenland Ice Sheet. Differences in sea ice reconstructions may indicate that the IP~25~ record reflects only the relatively short sea ice season (spring), whereas other microfossil reconstructions may reflect a longer (spring–autumn) interval.
    Keywords: AWI_Paleo; Paleoenvironmental Reconstructions from Marine Sediments @ AWI
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    Format: application/zip, 2 datasets
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  • 111
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Description: Using a microprofiler and electrochemical oxygen sensors after Revsbech (1989) in situ oxygen profiles measurements were conducted with a spatial resolution if 100 µm and a temporal resolution of 30 seconds at three stations in Potter Cove in austral summer 2015.
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 112
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    PANGAEA
    In:  Supplement to: Braeckman, Ulrike; Janssen, Felix; Lavik, Gaute; Elvert, Marcus; Marchant, Hannah K; Buckner, Caroline; Bienhold, Christina; Wenzhöfer, Frank (2018): Carbon and nitrogen turnover in the Arctic deep sea: in situ benthic community response to diatom and coccolithophorid phytodetritus. Biogeosciences, 15(21), 6537-6557, https://doi.org/10.5194/bg-15-6537-2018
    Publication Date: 2023-03-16
    Description: This is a dataset from an in situ experiment at station S2 from the LTER monitoring site HAUSGARTEN, performed in June-July 2013 during Maria S Merian expedition MSM29. The in situ responses of Arctic deep-sea benthos to input of phytodetritus of a diatom (Thalassiosira sp.) as opposed to a coccolithophorid (Emiliania huxleyi) were investigated in incubation chambers of benthic landers. Using 13C and 15N labelled phytodetritus harvested from cultures of these species, we traced the fate of the respective phytodetritus into different parts of the food web (respiration, assimilation by bacteria and infauna 〉250 µm), in a short (4d) and long (14d) term experiment. The benthic landers were lowered to the sea floor, where they enclosed ~ 20cm of sediment and ~10 cm of overlying water. During respectively 4d and 14d, the temperature and concentrations of O2, DIC, 13C-DIC, NHx, NOx, 15N-NH4, 15N-NOx were measured. Upon recovery of the landers, the sediment was retrieved and subsampled in vertical horizons to measure pigment, TOC and TN, 13C-POC and 15N-PN concentrations, pore water concentrations of DIC, 13C-DIC, NHx, NOx, 15N-NH4 and 15N-NOx and the assimilation of 13C in bacterial fatty acids (iC15:0 and aiC15:0) and in fauna 〉 250 µm
    Keywords: Hausgarten; Long-term Investigation at AWI-Hausgarten off Svalbard
    Type: Dataset
    Format: application/zip, 10 datasets
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  • 113
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    PANGAEA
    In:  Supplement to: Izett, Robert W; Manning, Cara C M; Hamme, Roberta C; Tortell, Philippe Daniel (2018): Refined Estimates of Net Community Production in the Subarctic Northeast Pacific Derived From ΔO2/Ar Measurements With N2O-Based Corrections for Vertical Mixing. Global Biogeochemical Cycles, 32(3), 326-350, https://doi.org/10.1002/2017GB005792
    Publication Date: 2023-03-16
    Description: We present the first field application of a N2O-based approach to correct for vertical mixing in the estimation of net community production (NCP) from mixed layer O2 measurements. Using new ship-based observations of N2O and biological oxygen saturation anomalies (DeltaO2/Ar) from the Subarctic Northeast Pacific, we provide refined mixed layer NCP estimates across contrasting hydrographic regimes and a comprehensive assessment of the methodological considerations and limitations of the approach. Increased vertical mixing coefficients at the base of the mixed layer, derived using N2O measurements, corresponded with periods of heightened wind speed and coastal upwelling. Corrections were most significant in coastal regions where the vertical supply of low-O2 water can otherwise falsely imply net heterotrophy from negative DeltaO2/Ar measurements. After correcting for the mixing flux, all coastal stations showed autotrophic signatures, with maximum NCP exceeding 100 mmol O2 m-2 day-1 in the spring and summer. Vertical fluxes were lower in off-shelf waters, but often contributed more than 50 % to corrected NCP. At some oceanic stations, however, the co-occurrence of N2O minima and O2 maxima resulted in biased (over-estimated) N2O corrections. Evaluating vertical fluxes in these regions remains a challenge for ship-based studies. Nonetheless, our refined NCP estimates show better coherence with surface chlorophyll, temperature, and mixed layer depth than uncorrected values. Potential mixed layer N2O production introduces some uncertainty in the approach, but errors are likely to be small. Ultimately, this work provides rationale for the adoption of the N2O correction to refine NCP estimates, particularly in coastal waters. Data in this submission include the ancillary components required to replicate all calculations, and conclusions made in the main manuscript.
    Type: Dataset
    Format: application/zip, 20 datasets
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  • 114
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    PANGAEA
    In:  Supplement to: Kruse, Stefan; Epp, Laura Saskia; Wieczorek, Mareike; Pestryakova, Luidmila A; Stoof-Leichsenring, Kathleen Rosmarie; Herzschuh, Ulrike (2018): High gene flow and complex treeline dynamics of Larix Mill. stands on the Taymyr Peninsula (north-central Siberia) revealed by nuclear microsatellites. Tree Genetics & Genomes, 14(2), https://doi.org/10.1007/s11295-018-1235-3
    Publication Date: 2023-03-16
    Description: Arctic treelines are facing a strong temperature increase as a result of recent global warming, causing possible changes in forest extent, which will alter vegetation-climate feedbacks. However, the mode and strength of the response is rather unclear, as potential changes are happening in areas that are very remote and difficult to access, and empirical data are still largely lacking. Here, we assessed the current population structure and genetic differentiation of Larix Mill. tree stands within the northernmost latitudinal treeline reaching ~72° N in the southern lowlands of the Taymyr Peninsula (~100° E). We sampled 743 individuals belonging to different height classes (seedlings, saplings, trees) at eleven locations along a gradient from 'single tree' tundra over 'forest line' to 'dense forest' stands and conducted investigations applying eight highly polymorphic nuclear microsatellites. Results suggest a high diversity within subpopulations (HE=0.826-0.893), coupled, however, with heterozygote deficits in all subpopulations, but pronounced in 'forest line' stands. Overall, genetic differentiation of subpopulations is low (FST=0.005), indicating a region-wide high gene flow, although 'forest line' stands harbour few rare and private alleles, likely indicating greater local reproduction. 'Single tree' stands, located beyond the northern forest line, are currently not involved in treeline expansion, but show signs of a long-term refuge, namely asexual reproduction and change of growth-form from erect to creeping growth, possibly having persisted for thousands of years. The lack of differentiation between the subpopulations points to a sufficiently high dispersal potential, and thus a rapid northward migration of the Siberian arctic treeline under recent global warming seems potentially unconstrained, but observations show it to be unexpectedly slow.
    Keywords: AWI_Envi; Polar Terrestrial Environmental Systems @ AWI
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    Format: application/zip, 2 datasets
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  • 115
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    PANGAEA
    In:  Supplement to: Beamish, Alison Leslie; Coops, Nicholas; Chabrillat, Sabine; Heim, Birgit (2017): A phenological approach to spectral differentiation of low-arctic tundra vegetation communities, North Slope, Alaska. Remote Sensing, 9(12), 1200, https://doi.org/10.3390/rs9111200
    Publication Date: 2023-03-16
    Description: Ground-based spectroscopy measurements acquired systematically within the Toolik Vegetation Grid in the 2015 and 2016 growing seasons and within the Imnavait Vegetation Grid in the 2016 growing season. Data were collected in 68 distinct 1 x 1 m long-term monitoring plots representing five distinct vegetation communities. Spectral measurements were acquired two times throughout the season in 2015 representing peak and late season and three times in 2016 representing early, peak and late season. Data were acquired using a GER 1500 field spectrometer (350-1050 nm; 512 bands, spectral resolution 3 nm, spectral sampling 1.5 nm, and 8! field of view). Spectra were collected under clear weather conditions at the highest solar zenith angle between 10:00 and 14:00 local time. Data were collected at nadir approximately 1 m off the ground resulting in a Ground Instantaneous Field of View (GIFOV) of approximately 15 cm in diameter. Nine point measurements of upwelling radiance (Lup) were collected in 1 x 1 m plots representative of the five vegetation communities and averaged to characterize the spectral variability and to reduce noise. Downwelling radiance (Ldown) was measured as the reflectance from a white Spectralon© plate. Surface reflectance (R) was processed as Lup/Ldown x 100 (0-100%). Reflectance spectra were preprocessed with a Savitzky-Golay smoothing filter (n = 11) and subset to 400-985 nm to remove sensor noise at the edges of the radiometer detector.
    Keywords: AWI_Envi; MULT; Multiple investigations; Polar Terrestrial Environmental Systems @ AWI; ToolikL_plot; Toolik Lake, Alaska
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    Format: application/zip, 2 datasets
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  • 116
    Publication Date: 2023-03-16
    Description: Our data, as part of the OISO (Ocean Indien Service d'Observation) campaign, contributes to a better understanding of the physical and biological factors controlling N2 fixation in the Southern Indian Ocean and the French Southern and Antarctic lands during Austral summer January and February 2017. We measured N2 and C fixation as well as NH4+ and NO3- assimilation in 3-6 replicates per station. Additionally, we measured diagnostic pigment concentrations to evaluate phtosynthetic community composition. For pigment analysis 4L water was filtered through 25mm Whatman GF/F filters (pressure drop 〈10kPa). Samples were stored at -80°C until analysis. Pigments were analysed using High Performance Liquid Chromatography (HPLC). Pigment concentration were calculated according to Kilias et al (2013, doi:10.1111/jpy.12109). N2 fixation experiments were carried out in three to six replicates for each station. Incubations were done in pre-acid washed polycarbonate bottles on deck with ambient light conditions. All polycarbonate incubation bottles were rinsed with deionized water, and seawater prior to incubation. We used the combination of the bubble approach (Montoya et al., 1996) and the dissolution method (Mohr et al., 2010, doi:10.1371/journal.pone.0012583) proposed by Klawonn et al. (2015, doi:10.3389/fmicb.2015.00769). Bottles were filled up to capacity to avoid air contamination. Incubations were initialized by adding a 10 ml 15-15N gas bubble. Bottles were gently rocked for 15 minutes. Finally, the remaining bubble was removed to avoid equilibration between gas and aqueous phase. after 24 hours a water subsample was taken to a 12 ml exetainer and preserved with 100 µl HgCl2 solution for later determination of exact 15N-15N concentration. Natural 15N2 was determined using Membrane Inlet Mass Spectrometry (MIMS; GAM200, IPI) for each station. Analysis of 15N2 incorporated was carried out by the Isotopic Laboratory at the UC Davis, California campus. We used stable isotope tracers (15N) to measure dissolved inorganic nitrogen (DIN) assimilation rates. Experiments were initiated by adding a known concentration of 0.05 of K15NO3 and 15NH4Cl for oligotrophic waters of the IO and 0.625 µmol L-1 for HNLC regions in the ACC and PF (Knap et al., 1994, Waite et al., 2007, doi:10.1016/j.dsr2.2006.12.010) to one litre polycarbonate bottles. For C assimilation experiments, we added 20 µmol L-1 of NaH13CO3 to one of each of N2 fixation, NH4+ and NO3- assimilation experiment bottles. For incubation, we followed the same procedure as for N2 fixation experiments. Findings reveal that N2 fixation occurs throughout the whole sampling area up to 55°S latitude. In addition, variations of N2 fiaxation rates between replicates were relatively high indicating a great heterogeneity of the French Southern and Antarctic waters. References: Montoya 1996: Montoya, Joseph P., et al. "A Simple, High-Precision, High-Sensitivity Tracer Assay for N (inf2) Fixation." Applied and environmental microbiology 62.3 (1996): 986-993. Knap et al 1994: Knap, A., Michaels, A., Close, A., Ducklow, H. & Dickson, A. 1994. Protocols for the Joint Global Ocean Flux Study (JGOFS) Core Measurements, JGOFS, Reprint of the IOC Manuals and Guides No. 29. UNESCO, 19, 1.
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 117
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    PANGAEA
    In:  Supplement to: van der Jagt, Helga; Friese, Carmen A; Stuut, Jan-Berend W; Fischer, Gerhard; Iversen, Morten Hvitfeldt (2018): The ballasting effect of Saharan dust deposition on aggregate dynamics and carbon export: Aggregation, settling, and scavenging potential of marine snow. Limnology and Oceanography, 63(3), 1386-1394, https://doi.org/10.1002/lno.10779
    Publication Date: 2023-03-16
    Description: Lithogenic material such as Saharan dust can be incorporated into organic aggregates and act as ballast, potentially enhancing the marine carbon export via increased sinking velocities of aggregates. We studied the ballasting effects of Saharan dust on the aggregate dynamics in the upwelling region off Cape Blanc (Mauritania). Aggregate formation from a natural plankton community exposed to Saharan dust deposition resulted in higher abundance of aggregates with higher sinking velocities compared to aggregate formation with low dust. This higher aggregate abundance and sinking velocities potentially increased the carbon export 10-fold when the aggregates were ballasted by Saharan dust. After aggregate formation in the surface waters, subsequent sinking through suspended Saharan dust minerals had no influence on aggregate sizes, abundance, and sinking velocities. We found that aggregates formed in the surface ocean off Mauritania were already heavily ballasted with lithogenic material and could therefore not scavenge any additional minerals during their descent. This suggests that carbon export to the deep ocean in regions with high dust deposition is strongly controlled by dust input to the surface ocean while suspended dust particles in deeper water layers do not significantly interact with sinking aggregates.
    Keywords: Center for Marine Environmental Sciences; MARUM; SeaPump; Seasonal and regional food web interactions with the biological pump
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  • 118
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    In:  Supplement to: Beamish, Alison Leslie; Coops, Nicholas; Hermosilla, T; Chabrillat, Sabine; Heim, Birgit (2018): Monitoring pigment-driven vegetation changes in a low-Arctic tundra ecosystem using digital cameras. Ecosphere, 9(2), e02123, https://doi.org/10.1002/ecs2.2123
    Publication Date: 2023-03-16
    Description: Ground-based spectroscopy measurements acquired systematically within the Toolik Vegetation Grid in the 2016 growing season. All data were collected in a subset of 1 x 1 m long-term monitoring plots representing three distinct vegetation communities three times representing early, peak and late season. Spectral data were acquired using a GER 1500 field spectrometer (350-1050 nm; 512 bands, spectral resolution 3 nm, spectral sampling 1.5 nm, and 8! field of view). Spectra were collected under clear weather conditions at the highest solar zenith angle between 10:00 and 14:00 local time. Data were collected at nadir approximately 1 m off the ground resulting in a Ground Instantaneous Field of View (GIFOV) of approximately 15 cm in diameter. Nine point measurements of upwelling radiance (Lup) were collected in each plot and averaged to characterize the spectral variability and to reduce noise. Downwelling radiance (Ldown) was measured as the reflectance from a white Spectralon© plate. Surface reflectance (R) was processed as Lup/Ldown x 100 (0-100%). Reflectance spectra were preprocessed with a Savitzky-Golay smoothing filter (n = 11) and subset to 400-985 nm to remove sensor noise at the edges of the radiometer detector. Digital camera data were acquired using a consumer-grade camera (Panasonic DM3 LMX, Japan) approximately 1 m off the ground with a white frame for registration of off nadir images. For detailed definitions of the RGB indices see metadata.docx. Leaves and stems of the dominant vascular species in a subset of the sampled plots were collected at early, peak, and late season for chlorophyll and carotenoid analysis.Samples were placed in porous tea bags and preserved in a silica gel desiccant in an opaque container for up to 3 months until pigment extraction (Esteban et al. 2009, doi:10.1007/s11120-009-9468-5). Each sample was homogenized by grinding with a mortar and pestle. Approximately 1.00 mg (+/- 0.05 mg) of homogenized sample was placed into a vial with 2 ml of dimethylformamide (DMF). Vials were then wrapped in aluminum foil to eliminate any degradation of pigments due to UV light and stored in a fridge (4C) for 24 hrs. Samples were measured into a cuvette prior to spectrophotometric analysis. Bulk pigments concentrations were then estimated using a spectrophotometer measuring absorption at 646.8, 663.8 and 480 nm (Porra et al. 1989, doi:10.1016/S0005-2728(89)80347-0) . Absorbance (A) values at specific wavelengths were transformed into µg/mg concentrations of chlorophyll a, Chla, chlorophyll b, Chlb, total chlorophyll, Chl, carotenoids, Car (for equations see metadata.docx). Pigment concentration was calculated as the average concentration of the dominant species in each plot. mean_"pigment" represents the mean of all biomass from each vegetation community and sd_"pigment" represents the standard deviation of each vegetation community.
    Keywords: AWI_Envi; MULT; Multiple investigations; Polar Terrestrial Environmental Systems @ AWI; ToolikL_plot; Toolik Lake, Alaska
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 119
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    In:  Supplement to: Park, Eunmi; Hefter, Jens; Fischer, Gerhard; Mollenhauer, Gesine (2018): TEX86 in sinking particles in three eastern Atlantic upwelling regimes. Organic Geochemistry, 124, 151-163, https://doi.org/10.1016/j.orggeochem.2018.07.015
    Publication Date: 2023-03-16
    Description: Seasonal variations in fluxes of isoprenoid glycerol dialkyl glycerol tetraethers (GDGTs) and the estimated temperatures based on TEX86 are examined in sinking particles collected using moored sediment traps in the eastern Atlantic upwelling regions. In the equatorial Guinea Basin, GDGT fluxes show a correlation with opal fluxes, implying that GDGTs are mainly transported via aggregation with diatoms. The flux-weighted TEXH86 temperatures derived from particles collected both at 853 m and 3,921 m depth correspond to the water temperature (24.1 °C) of ca. 50 m depth, where nitrate concentration starts to increase, potentially as a consequence of nitrification by Thaumarchaeota. This suggests that nutrient concentrations may affect the depth habitat of Thaumarchaeota, and it determines at which water depth the TEXH86 temperature is recorded. In the coastal upwelling off Namibia, TEXH86 temperatures are similar to satellite-derived sea surface temperature (SST) during the warm season, but the record derived from the trap is delayed relative to the SST by approximately 26 days. Warm biases, however, occur during the cold season, similar to what has previously been observed in the filamentous upwelling region off Cape Blanc. In both coastal upwelling regions, oxygen minimum zones (OMZs) are a common feature, and higher TEX86 values have been found within the OMZs in the water column off Cape Blanc and elsewhere. Thus, contributions from GDGTs produced in OMZs might explain the warmer temperature estimates during the cold season in both regions. We thus conclude that in the eastern Atlantic upwelling system, TEXH86 temperature estimates are influenced by non-thermal factors such as nutrient depth distributions and GDGTs produced in the OMZ. In paleoenvironmental records of TEX86, non-thermal signals have to be considered on regional scales.
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  • 120
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    In:  Supplement to: Pauli, Nora-Charlotte; Paiva, Filipa; Briski, Elizabeta (2018): Are Ponto-Caspian species able to cross salinity barriers? A case study of the gammarid Pontogammarus maeoticus. Ecology and Evolution, 8(19), 9817-9826, https://doi.org/10.1002/ece3.4461
    Publication Date: 2023-03-16
    Description: Recently, Ponto-Caspian species (i.e. area of Azov, Black and Caspian Seas) have invaded brackish and freshwater habitats of the North and Baltic Seas and the Laurentian Great Lakes in much higher numbers than expected based on shipping frequency and environmental conditions among these regions. Therefore, it has been hypothesized that Ponto-Caspian species may have inherent advantages over other species in colonizing new habitats, or that they are of freshwater origin. To test these hypotheses, we conducted artificial selection experiment on Ponto-Caspian amphipod Pontogammarus maeoticus collected from 10 PSU to evaluate adaptation capacity of this species to different salinities. Our results indicated that selection to lower salinity than that of population's ambient salinity is possible. Though, generation time in lower salinity conditions took slightly longer. On the contrary, selection to higher salinity was unsuccessful. Taking into account the results from this and previous studies and the geological history of the Ponto-Caspian region, we suggest that majority of the Ponto-Caspian relict fauna might be of freshwater origin and lack necessary genetic background for adaptation to fully marine conditions. Further selection studies using more species and populations, as well as molecular techniques, should be conducted to confirm this hypothesis on a broader scale. Consequently, if Ponto-Caspian relict species are of freshwater origin, the perception that they are better colonizers than species from other regions might be inclined by the fact that areas with biggest introduction frequency of nonindigenous species (i.e., shipping ports) are environmentally variable habitats which often include freshwater conditions.
    Keywords: AWI_BioOce; Biological Oceanography @ AWI
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    Format: application/zip, 2 datasets
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  • 121
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    In:  Supplement to: Hörner, Tanja; Stein, Ruediger; Fahl, Kirsten (2018): Paleo-sea ice distribution and polynya variability on the Kara sea shelf during the last 12 ka. arktos - The Journal of Arctic Geosciences, https://doi.org/10.1007/s41063-018-0040-4
    Publication Date: 2023-03-16
    Description: The Kara Sea is an important area for paleo-climatic research since sea ice and brine formation take place on its shelf-two processes inducing supra-regional climatic implications and thereby connecting regional environmental variability with global climatic conditions. To gain information about past sea ice coverage and variations, three sediment cores distributed in the southern and central parts of the marginal Sea were investigated. By applying the sea ice biomarker IP25 and the PIP25 index [phytoplankton biomarker (dinosterol)-IP25 index] post-glacial sea ice variability could be detected in the central Kara Sea (Core BP00-36/4), with most intense sea ice cover between 12.4 and 11.8 ka coinciding with the Younger Dryas (12.9-11.6 ka), and reduced sea ice cover between 10 and 8 ka during the Holocene Thermal Maximum. During the last ~7 ka, increasing sea ice indicators might indicate a Holocene cooling trend, probably induced by declining summer insolation. Furthermore, temporal changes in the fast ice?polynya distribution in the southern Kara Sea were detected: expanding fast ice during the late Holocene and a cyclic short-term Holocene climate variability documented by abrupt changes in the sea ice coverage at the BP00-07/7 core site. Core BP99-04/7 from the Yenisei estuary recorded consistently seasonal sea ice cover since ~9.3 ka, apart from five short phases of fast ice expansion to the core site. The strong influence of river run-off as well as estuary processes might prevent the detection of (short-term) climatic signals at this study site.
    Keywords: AWI_Paleo; Paleoenvironmental Reconstructions from Marine Sediments @ AWI
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 122
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    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ANT-VIII/3; AWI_Paleo; Calcium carbonate; Carbon, organic, total; CTD/Rosette; CTD-RO; DEPTH, sediment/rock; Element analyser CHN, LECO; Grain size, sieving/settling tube; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS16; PS16/262; PS1750-1; Sand; Silt; Size fraction 〈 0.002 mm, clay; Van Heesen Ridge; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 630 data points
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  • 123
    Publication Date: 2023-03-16
    Keywords: 1; 10; 11; 12; 13; 14; 15; 16; 17; 18; 19; 2; 20; 21; 22; 25; 26; 3; 31; 36; 38; 39; 4; 40; 41; 42; 43; 44; 45; 46; 47; 48; 49; 5; 50; 58; 59; 6; 7; 8; 9; Adicha River; Aldan River; AWI_PerDyn; AWI Arctic Land Expedition; Bytaktay River; Calculated; Carbon, organic, total; Carbon/Nitrogen ratio; Chara River; Comment; DEPTH, water; Dulgalakh River; Dzhardzhan River; Element analyser CHN, LECO; Event label; Khatanga96; Khatanga96_1; Khatanga96_10; Khatanga96_2; Khatanga96_3; Khatanga96_4; Khatanga96_5; Khatanga96_6; Khatanga96_7; Khatanga96_8; Khatanga96_9; Kyugyulyur River; Latitude of event; Lena/Yana95; Lena/Yana95_10; Lena/Yana95_11; Lena/Yana95_12; Lena/Yana95_14; Lena/Yana95_15; Lena/Yana95_16; Lena/Yana95_18; Lena/Yana95_19; Lena/Yana95_20; Lena/Yana95_22; Lena/Yana95_25; Lena/Yana95_26; Lena/Yana95_3; Lena/Yana95_31; Lena/Yana95_36; Lena/Yana95_38; Lena/Yana95_39; Lena/Yana95_40; Lena/Yana95_41; Lena/Yana95_42; Lena/Yana95_43; Lena/Yana95_44; Lena/Yana95_45; Lena/Yana95_46; Lena/Yana95_47; Lena/Yana95_48; Lena/Yana95_49; Lena/Yana95_5; Lena/Yana95_50; Lena/Yana95_58; Lena/Yana95_59; Lena/Yana95_6; Lena/Yana95_7; Lena/Yana95_8; Lena1994; Lena94_1; Lena94_10; Lena94_12; Lena94_13; Lena94_15; Lena94_16; Lena94_17; Lena94_18; Lena94_2; Lena94_20; Lena94_21; Lena94_22; Lena94_4; Lena94_6; Lena94_7; Lena94_8; Lena Delta, Siberia, Russia; Lena River, Siberia, Russia; Longitude of event; Mass spectrometer Finnigan Delta-S; Nitrogen, total; Olbye River; Olyekma River; Omoloy River; Permafrost Research (Periglacial Dynamics) @ AWI; Quaternary Environment of the Eurasian North; QUEEN; Replicates; RIVER; RU-Land_1994_Lena; RU-Land_1995_Lena_Yana; RU-Land_1996_Khatanga; Sampling river; Sartang River; Sediment and debris content; Tuostakh River; Vilyuy River; Yana Delta; Yana River; δ13C, organic carbon; δ13C, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 439 data points
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  • 124
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    Publication Date: 2023-03-16
    Keywords: 200540; 3050/07; 560002; 560009; 564016; 564017; 564024; AB01/94; Age, 14C AMS; Age, dated; Age, dated material; Age, dated standard deviation; Arkona Basin; B5475/01; B5775/01; Counting; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Event label; Ferhmarn Belt; Lithologic unit/sequence; MB01/94; MB02/94; MB03/94; MB11/93; Mecklenburg Bay; Oder Estuary; Quaternary Environment of the Eurasian North; QUEEN; Sample code/label; South of Falster; VC; Vibro corer; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 200 data points
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  • 125
    Publication Date: 2023-03-16
    Keywords: BC; Box corer; Buor Khaya Bay, Laptev Sea; Chaun Bay East Siberian Sea; Chlorite; DEPTH, sediment/rock; Dm. Laptev Srait; East Siberian Sea; ESS10; ESS105; ESS110; ESS128; ESS136; ESS16; ESS162; ESS165; ESS185; ESS192; ESS281; ESS282; ESS284; ESS285; ESS286; ESS288; ESS289; ESS290; ESS291; ESS292; ESS293; ESS295; ESS314; ESS315; ESS316; ESS317; ESS318; ESS320; ESS323; ESS327; ESS328; ESS329; ESS333; ESS334; ESS56; ESS65; ESS74; ESS87; ESS94; Event label; Illite; Kaolinite; Laptev Sea; Latitude of event; Longitude of event; Long Strait; Quaternary Environment of the Eurasian North; QUEEN; QUEEN_Exped; Siberian River Run-Off; SIRRO; Smectite; X-ray diffraction TEXTUR, clay fraction
    Type: Dataset
    Format: text/tab-separated-values, 155 data points
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  • 126
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    Publication Date: 2023-03-16
    Keywords: Akademik Boris Petrov; Arsenic; Barium; BP97; BP97-01; BP97-08; BP97-09; BP97-10; BP97-12; BP97-15; BP97-17; BP97-18; BP97-19; BP97-21; BP97-24; BP97-25; BP97-27; BP97-28; BP97-30; BP97-31; BP97-32; BP97-33; BP97-34; BP97-36; BP97-37; BP97-42; BP97-43; BP97-46; BP97-47; BP97-48; BP97-49; BP97-50; BP97-51; BP97-52; BP97-53; BP97-54; BP97-55; BP97-56; BP97-58; BP97-59; Bromine; Chromium; Cobalt; Copper; DEPTH, sediment/rock; DIVERSE; Elevation of event; Event label; Iron; Kara Sea; KaraSea97; Latitude of event; Lead; Longitude of event; Manganese; MULT; Multiple investigations; Nickel; Quaternary Environment of the Eurasian North; QUEEN; Rubidium; Sampling gear, diverse; Siberian River Run-Off; SIRRO; Strontium; Titanium; Vanadium; X-ray fluorescence (XRF); Zinc
    Type: Dataset
    Format: text/tab-separated-values, 540 data points
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  • 127
    Publication Date: 2023-03-16
    Keywords: Age, 14C AMS; Age, 14C calibrated; Age, dated; Age, dated material; Age, dated standard deviation; agedetermination; Beg; Begichev; Ber; Ber_tay; CAGRE98; Chu1; Chukcha; DEPTH, sediment/rock; Event label; LATITUDE; LONGITUDE; Micha; Michailova; Oskar; Oskar1; OUTCROP; Outcrop sample; Pyas1; Pyasina; Quaternary Environment of the Eurasian North; QUEEN; Sample, optional label/labor no; Sample code/label; Sampling on land; Sokol; Sokolinaya; Taymyr_Exped; Taymyr88; Taymyr98
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
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  • 128
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    PANGAEA
    Publication Date: 2023-03-16
    Keywords: AEROS; Aerosol sampler; ALTITUDE; Arctic; Concentration; Date/Time of event; Date/Time of event 2; Event label; Feldspar; Illite; Kaolinite+Chlorite; Latitude of event; Latitude of event 2; Longitude of event; Longitude of event 2; Montmorillonite; PL94; PL94_10air; PL94_11air; PL94_12air; PL94_13air; PL94_14air; PL94_15air; PL94_16air; PL94_17air; PL94_18air; PL94_19air; PL94_1air; PL94_2air; PL94_3air; PL94_4air; PL94_5air; PL94_6air; PL94_7air; PL94_8air; PL94_9air; Professor Logachev; Quartz; Quartz/Feldspar ratio; Quaternary Environment of the Eurasian North; QUEEN; Wind direction; Wind speed; X-ray diffraction (XRD)
    Type: Dataset
    Format: text/tab-separated-values, 157 data points
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  • 129
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    In:  Alfred Wegener Institute - Polarstern core repository
    Publication Date: 2023-03-16
    Keywords: ANT-III/3; AWI_Paleo; Giant box corer; GKG; Halley Bay; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS06/289; PS06 SIBEX; PS1273-1
    Type: Dataset
    Format: unknown
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  • 130
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    In:  Alfred Wegener Institute - Polarstern core repository
    Publication Date: 2023-03-16
    Keywords: ANT-IV/3; Atka Bay; AWI_Paleo; Giant box corer; GKG; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS08; PS08/481; PS1426-1
    Type: Dataset
    Format: unknown
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  • 131
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    In:  Alfred Wegener Institute - Polarstern core repository
    Publication Date: 2023-03-16
    Keywords: ANT-VI/3; AWI_Paleo; Gravity corer (Kiel type); Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS12; PS12/348; PS1611-2; SL; Weddell Sea
    Type: Dataset
    Format: unknown
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  • 132
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    In:  Alfred Wegener Institute - Polarstern core repository
    Publication Date: 2023-03-16
    Keywords: ANT-VI/3; AWI_Paleo; MG; Multiboxcorer; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS12; PS12/346; PS1610-4; Weddell Sea
    Type: Dataset
    Format: unknown
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  • 133
    Publication Date: 2023-03-16
    Keywords: Akademik Boris Petrov; AWI_Paleo; BP00; BP00-21; Conductivity; DEPTH, water; Kara Sea; MULT; Multiple investigations; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Quaternary Environment of the Eurasian North; QUEEN; Salinity; Siberian River Run-Off; SIRRO; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 750 data points
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  • 134
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    In:  Supplement to: Ramisch, Arne; Lockot, Gregori; Haberzettl, Torsten; Hartmann, Kai; Kuhn, Gerhard; Lehmkuhl, Frank; Schimpf, Stefan; Schulte, Philipp; Stauch, Georg; Wang, Rong; Wünnemann, Bernd; Yan, Dada; Zhang, Yongzhan; Diekmann, Bernhard (2016): A persistent northern boundary of Indian Summer Monsoon precipitation over Central Asia during the Holocene. Scientific Reports, 6, 25791, https://doi.org/10.1038/srep25791
    Publication Date: 2023-03-13
    Description: Extra-tropical circulation systems impede poleward moisture advection by the Indian Summer Monsoon. In this context, the Himalayan range is believed to insulate the south Asian circulation from extra-tropical influences and to delineate the northern extent of the Indian Summer Monsoon in central Asia. Paleoclimatic evidence, however, suggests increased moisture availability in the Early Holocene north of the Himalayan range which is attributed to an intensification of the Indian Summer Monsoon. Nevertheless, mechanisms leading to a surpassing of the Himalayan range and the northern maximum extent of summer monsoonal influence remain unknown. Here we show that the Kunlun barrier on the northern Tibetan Plateau [~36°N] delimits Indian Summer Monsoon precipitation during the Holocene. The presence of the barrier relocates the insulation effect 1,000 km further north, allowing a continental low intensity branch of the Indian Summer Monsoon which is persistent throughout the Holocene. Precipitation intensities at its northern extent seem to be driven by differentiated solar heating of the Northern Hemisphere indicating dependency on energy-gradients rather than absolute radiation intensities. The identified spatial constraints of monsoonal precipitation will facilitate the prediction of future monsoonal precipitation patterns in Central Asia under varying climatic conditions.
    Keywords: AWI_PerDyn; Permafrost Research (Periglacial Dynamics) @ AWI
    Type: Dataset
    Format: application/zip, 17 datasets
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  • 135
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    In:  Jacobs University Bremen gGmbH
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE225-01; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates; Setubal Canyon
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
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  • 136
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    In:  Jacobs University Bremen gGmbH
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE225-02; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates; Setubal Canyon
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
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  • 137
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    In:  Jacobs University Bremen gGmbH
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE225-03; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates; Setubal Canyon
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
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  • 138
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    In:  Jacobs University Bremen gGmbH
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE225-05; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates; Setubal Canyon
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
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  • 139
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    In:  Jacobs University Bremen gGmbH
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll pigment equivalents; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE225-06; PE2xx; Phaeopigments; Replicates; Setubal Canyon
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
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  • 140
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    In:  Jacobs University Bremen gGmbH
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll pigment equivalents; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE225-07; PE2xx; Phaeopigments; Replicates; Setubal Canyon
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
    Location Call Number Expected Availability
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  • 141
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    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE225-20; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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  • 142
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    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE225-21; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates; Setubal Canyon
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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  • 143
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    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE225-22; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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  • 144
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    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll pigment equivalents; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE225-24; PE2xx; Phaeopigments; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
    Location Call Number Expected Availability
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  • 145
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    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE225-25; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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  • 146
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    Unknown
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE225-26; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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  • 147
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    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE225-27; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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  • 148
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    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll pigment equivalents; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE225-34; PE2xx; Phaeopigments; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
    Location Call Number Expected Availability
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  • 149
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    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE225-39; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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  • 150
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    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE225-41; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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  • 151
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    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE225-52; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates; Setubal Canyon
    Type: Dataset
    Format: text/tab-separated-values, 63 data points
    Location Call Number Expected Availability
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  • 152
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    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE236-07; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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  • 153
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    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE236-14; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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  • 154
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    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE236-15; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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  • 155
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    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE236-20; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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  • 156
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    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE225-54; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates; Setubal Canyon
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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  • 157
    Publication Date: 2023-03-13
    Description: The geological map shows the northeastern part of the polyphase deformed Sivorg Terrane in the Heimefrontfjella/Dronning Maud Land. The basement was affected by late Mesoproterozoic and Cambrian deformation and metamorphism. Geological mapping was carried out during the Antarctic Expedition 2000/01 of the Alfred Wegener Institute for Polar and Marine Research. Topographic data were obtained through stereoscopic aerial photo interpretation. The photogrammetric photo flights were undertaken in 1986 by the Institut für Angewandte Geodäsie, Frankfurt/M. Horizontal ground control points required for aerial photo interpretation were determined by means of Doppler satellite observation during the 2nd German Neuschwabenland Expedition 1985/86. Vertical ground control points were taken from unpublished map drafts at 1:100 000 scale by Norsk Polarinstitutt, Oslo. The elevation above mean sea level was transferred to Heimefrontfjella barometrically. For this reason assertions concerning the absolute elevation (referred to sea level) are uncertain. Contours and spot heights presented on the map were obtained from the photogrammetric evaluation of the photography taken in 1986; relative elevation data (height differences) are accurate to approximately ±10 m. Published by Fachbereich Geowissenschaften, Universität Bremen & Geologisches Institut, RWTH Aachen.
    Keywords: File format; File size; Geological mapping; GEOMAP; Heimefrontfjella, Antarctica; ORDINAL NUMBER; Uniform resource locator/link to raw data file; XU-FJELLA
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
    Location Call Number Expected Availability
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  • 158
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Argos; Argos03/2; Argos03/2_045; Argos03/2_046; Argos03/2_052; Argos03/2_053; Argos03/2_056; Argos03/2_064; Argos03/2_067; Argos03/2_068; Argos03/2_076; Argos03/2_078; Argos03/2_079; Argos03/2_080; Argos03/2_081; Argos03/2_089; Argos03/2_090; Argos03/2_091; Argos03/2_092; Argos03/2_093; Argos03/2_100; Argos03/2_102; Argos03/2_103; Argos03/2_104; Argos03/2_111; Argos03/2_112; Argos03/2_113; Argos03/2_114; Argos03/2_117; Argos03/2_122; Argos03/2_124; Argos03/2_134; Argos03/2_135; Argos03/2_136; Argos03/2_137; Argos03/2_138; Argos03/2_143; Argos03/2_144; Argos03/2_145; Argos03/2_148; Argos03/2_156; Argos03/2_158; Argos03/2_160; Argos03/2_161; Argos03/2_162; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, total; Oxygen; pH; Phosphate; Phosphorus, total; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 2956 data points
    Location Call Number Expected Availability
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  • 159
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Argos; Argos06/2; Argos06/2_043; Argos06/2_044; Argos06/2_045; Argos06/2_047; Argos06/2_048; Argos06/2_049; Argos06/2_055; Argos06/2_057; Argos06/2_058; Argos06/2_066; Argos06/2_068; Argos06/2_069; Argos06/2_070; Argos06/2_079; Argos06/2_080; Argos06/2_081; Argos06/2_082; Argos06/2_083; Argos06/2_089; Argos06/2_090; Argos06/2_091; Argos06/2_092; Argos06/2_093; Argos06/2_100; Argos06/2_101; Argos06/2_102; Argos06/2_103; Argos06/2_111; Argos06/2_112; Argos06/2_113; Argos06/2_115; Argos06/2_116; Argos06/2_121; Argos06/2_122; Argos06/2_123; Argos06/2_124; Argos06/2_125; Argos06/2_131; Argos06/2_132; Argos06/2_133; Argos06/2_134; Argos06/2_137; Argos06/2_139; Argos06/2_140; Argos06/2_141; Argos06/2_142; Argos06/2_143; Argos06/2_144; Argos06/2_145; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, total; Oxygen; pH; Phosphate; Phosphorus, total; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water; The Sound
    Type: Dataset
    Format: text/tab-separated-values, 3064 data points
    Location Call Number Expected Availability
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  • 160
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Argos; Argos05/2; Argos05/2_044; Argos05/2_046; Argos05/2_053; Argos05/2_055; Argos05/2_056; Argos05/2_057; Argos05/2_065; Argos05/2_066; Argos05/2_067; Argos05/2_068; Argos05/2_069; Argos05/2_072; Argos05/2_073; Argos05/2_074; Argos05/2_075; Argos05/2_076; Argos05/2_077; Argos05/2_078; Argos05/2_079; Argos05/2_081; Argos05/2_082; Argos05/2_086; Argos05/2_087; Argos05/2_089; Argos05/2_090; Argos05/2_095; Argos05/2_096; Argos05/2_097; Argos05/2_098; Argos05/2_100; Argos05/2_104; Argos05/2_105; Argos05/2_106; Argos05/2_107; Argos05/2_110; Argos05/2_113; Argos05/2_114; Argos05/2_115; Argos05/2_116; Argos05/2_117; Argos05/2_118; Argos05/2_119; Argos05/2_124; Argos05/2_126; Argos05/2_127; Argos05/2_128; Argos05/2_134; Argos05/2_136; Argos05/2_139; Argos05/2_140; Argos05/2_145; Argos05/2_146; Argos05/2_147; Argos05/2_148; Argos05/2_149; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, total; North Sea; Oxygen; pH; Phosphate; Phosphorus, total; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water; The Sound
    Type: Dataset
    Format: text/tab-separated-values, 3104 data points
    Location Call Number Expected Availability
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  • 161
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Argos; Argos07/1; Argos07/1_038; Argos07/1_039; Argos07/1_040; Argos07/1_047; Argos07/1_049; Argos07/1_050; Argos07/1_051; Argos07/1_058; Argos07/1_060; Argos07/1_061; Argos07/1_062; Argos07/1_068; Argos07/1_070; Argos07/1_071; Argos07/1_073; Argos07/1_076; Argos07/1_078; Argos07/1_079; Argos07/1_080; Argos07/1_081; Argos07/1_082; Argos07/1_090; Argos07/1_091; Argos07/1_092; Argos07/1_098; Argos07/1_100; Argos07/1_101; Argos07/1_102; Argos07/1_103; Argos07/1_104; Argos07/1_105; Argos07/1_106; Argos07/1_114; Argos07/1_115; Argos07/1_116; Argos07/1_117; Argos07/1_118; Argos07/1_122; Argos07/1_125; Argos07/1_126; Argos07/1_127; Argos07/1_128; Argos07/1_129; Argos07/1_130; Argos07/1_137; Argos07/1_139; Argos07/1_140; Argos07/1_141; Argos07/1_142; Argos07/1_148; Argos07/1_150; Argos07/1_151; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, total; Oxygen; pH; Phosphate; Phosphorus, total; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water; The Sound
    Type: Dataset
    Format: text/tab-separated-values, 3315 data points
    Location Call Number Expected Availability
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  • 162
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Argos; Argos08/2; Argos08/2_048; Argos08/2_049; Argos08/2_050; Argos08/2_052; Argos08/2_059; Argos08/2_061; Argos08/2_062; Argos08/2_063; Argos08/2_066; Argos08/2_069; Argos08/2_072; Argos08/2_073; Argos08/2_074; Argos08/2_075; Argos08/2_080; Argos08/2_081; Argos08/2_082; Argos08/2_083; Argos08/2_089; Argos08/2_091; Argos08/2_092; Argos08/2_093; Argos08/2_100; Argos08/2_101; Argos08/2_102; Argos08/2_103; Argos08/2_104; Argos08/2_107; Argos08/2_111; Argos08/2_112; Argos08/2_113; Argos08/2_114; Argos08/2_115; Argos08/2_116; Argos08/2_117; Argos08/2_118; Argos08/2_119; Argos08/2_124; Argos08/2_125; Argos08/2_127; Argos08/2_128; Argos08/2_129; Argos08/2_132; Argos08/2_133; Argos08/2_134; Argos08/2_135; Argos08/2_137; Argos08/2_144; Argos08/2_145; Argos08/2_146; Argos08/2_147; Argos08/2_148; Argos08/2_149; Argos08/2_150; Argos08/2_151; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, total; Oxygen; pH; Phosphate; Phosphorus, total; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water; The Sound
    Type: Dataset
    Format: text/tab-separated-values, 3611 data points
    Location Call Number Expected Availability
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  • 163
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Argos; Argos09/2; Argos09/2_043; Argos09/2_044; Argos09/2_049; Argos09/2_051; Argos09/2_052; Argos09/2_053; Argos09/2_060; Argos09/2_062; Argos09/2_063; Argos09/2_064; Argos09/2_071; Argos09/2_072; Argos09/2_073; Argos09/2_074; Argos09/2_076; Argos09/2_077; Argos09/2_079; Argos09/2_080; Argos09/2_081; Argos09/2_082; Argos09/2_083; Argos09/2_084; Argos09/2_091; Argos09/2_093; Argos09/2_095; Argos09/2_096; Argos09/2_102; Argos09/2_103; Argos09/2_104; Argos09/2_105; Argos09/2_113; Argos09/2_114; Argos09/2_115; Argos09/2_116; Argos09/2_117; Argos09/2_124; Argos09/2_125; Argos09/2_126; Argos09/2_127; Argos09/2_133; Argos09/2_134; Argos09/2_135; Argos09/2_136; Argos09/2_137; Argos09/2_139; Argos09/2_143; Argos09/2_144; Argos09/2_145; Argos09/2_146; Argos09/2_152; Argos09/2_153; Argos09/2_154; Argos09/2_156; Argos09/2_157; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, total; Oxygen; pH; Phosphate; Phosphorus, total; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water; The Sound
    Type: Dataset
    Format: text/tab-separated-values, 3667 data points
    Location Call Number Expected Availability
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  • 164
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Argos; Argos10/1; Argos10/1_038; Argos10/1_039; Argos10/1_046; Argos10/1_047; Argos10/1_048; Argos10/1_049; Argos10/1_050; Argos10/1_057; Argos10/1_058; Argos10/1_059; Argos10/1_060; Argos10/1_061; Argos10/1_062; Argos10/1_063; Argos10/1_064; Argos10/1_065; Argos10/1_067; Argos10/1_068; Argos10/1_072; Argos10/1_075; Argos10/1_077; Argos10/1_079; Argos10/1_080; Argos10/1_081; Argos10/1_082; Argos10/1_088; Argos10/1_089; Argos10/1_090; Argos10/1_092; Argos10/1_093; Argos10/1_100; Argos10/1_101; Argos10/1_102; Argos10/1_103; Argos10/1_104; Argos10/1_105; Argos10/1_112; Argos10/1_113; Argos10/1_114; Argos10/1_115; Argos10/1_116; Argos10/1_117; Argos10/1_123; Argos10/1_124; Argos10/1_125; Argos10/1_132; Argos10/1_133; Argos10/1_134; Argos10/1_135; Argos10/1_136; Argos10/1_142; Argos10/1_143; Argos10/1_144; Argos10/1_149; Argos10/1_150; Argos10/1_152; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, total; Oxygen; pH; Phosphate; Phosphorus, total; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water; The Sound
    Type: Dataset
    Format: text/tab-separated-values, 3760 data points
    Location Call Number Expected Availability
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  • 165
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Argos; Argos95/2; Argos95/2_024; Argos95/2_025; Argos95/2_026; Argos95/2_027; Argos95/2_028; Argos95/2_029; Argos95/2_030; Argos95/2_031; Argos95/2_032; Argos95/2_033; Argos95/2_034; Argos95/2_035; Argos95/2_036; Argos95/2_037; Argos95/2_038; Argos95/2_039; Argos95/2_040; Argos95/2_041; Argos95/2_042; Argos95/2_043; Argos95/2_044; Argos95/2_045; Argos95/2_046; Argos95/2_047; Argos95/2_048; Argos95/2_049; Argos95/2_050; Argos95/2_051; Argos95/2_052; Argos95/2_053; Argos95/2_054; Argos95/2_055; Argos95/2_056; Argos95/2_057; Argos95/2_058; Argos95/2_059; Argos95/2_060; Argos95/2_061; Argos95/2_062; Argos95/2_063; Argos95/2_064; Argos95/2_065; Argos95/2_066; Argos95/2_067; Argos95/2_068; Argos95/2_069; Argos95/2_070; Argos95/2_071; Argos95/2_072; Argos95/2_073; Argos95/2_074; Argos95/2_075; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, total; Oxygen; pH; Phosphate; Phosphorus, total; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water; The Sound
    Type: Dataset
    Format: text/tab-separated-values, 2683 data points
    Location Call Number Expected Availability
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  • 166
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Argos; Argos94/2; Argos94/2_044; Argos94/2_045; Argos94/2_046; Argos94/2_047; Argos94/2_048; Argos94/2_049; Argos94/2_050; Argos94/2_051; Argos94/2_052; Argos94/2_053; Argos94/2_054; Argos94/2_055; Argos94/2_056; Argos94/2_057; Argos94/2_058; Argos94/2_059; Argos94/2_060; Argos94/2_061; Argos94/2_062; Argos94/2_063; Argos94/2_064; Argos94/2_065; Argos94/2_066; Argos94/2_067; Argos94/2_068; Argos94/2_069; Argos94/2_070; Argos94/2_071; Argos94/2_072; Argos94/2_073; Argos94/2_074; Argos94/2_075; Argos94/2_076; Argos94/2_077; Argos94/2_078; Argos94/2_079; Argos94/2_080; Argos94/2_081; Argos94/2_082; Argos94/2_083; Argos94/2_084; Argos94/2_085; Argos94/2_086; Argos94/2_087; Argos94/2_088; Argos94/2_089; Argos94/2_090; Argos94/2_091; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, total; Oxygen; pH; Phosphorus, total; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water; The Sound
    Type: Dataset
    Format: text/tab-separated-values, 3067 data points
    Location Call Number Expected Availability
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  • 167
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Argos; Argos96/2; Argos96/2_070; Argos96/2_071; Argos96/2_072; Argos96/2_073; Argos96/2_074; Argos96/2_075; Argos96/2_076; Argos96/2_077; Argos96/2_078; Argos96/2_080; Argos96/2_081; Argos96/2_082; Argos96/2_083; Argos96/2_084; Argos96/2_085; Argos96/2_086; Argos96/2_087; Argos96/2_088; Argos96/2_089; Argos96/2_090; Argos96/2_091; Argos96/2_092; Argos96/2_093; Argos96/2_094; Argos96/2_095; Argos96/2_096; Argos96/2_097; Argos96/2_098; Argos96/2_099; Argos96/2_100; Argos96/2_101; Argos96/2_102; Argos96/2_103; Argos96/2_104; Argos96/2_105; Argos96/2_106; Argos96/2_107; Argos96/2_108; Argos96/2_109; Argos96/2_110; Argos96/2_111; Argos96/2_113; Argos96/2_114; Argos96/2_115; Argos96/2_116; Argos96/2_117; Argos96/2_118; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, total; Oxygen; pH; Phosphate; Phosphorus, total; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water; The Sound
    Type: Dataset
    Format: text/tab-separated-values, 3353 data points
    Location Call Number Expected Availability
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  • 168
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Argos; Argos97/2; Argos97/2_048; Argos97/2_049; Argos97/2_051; Argos97/2_057; Argos97/2_058; Argos97/2_059; Argos97/2_061; Argos97/2_062; Argos97/2_069; Argos97/2_070; Argos97/2_071; Argos97/2_072; Argos97/2_073; Argos97/2_081; Argos97/2_082; Argos97/2_083; Argos97/2_084; Argos97/2_089; Argos97/2_090; Argos97/2_091; Argos97/2_092; Argos97/2_093; Argos97/2_097; Argos97/2_099; Argos97/2_101; Argos97/2_108; Argos97/2_109; Argos97/2_112; Argos97/2_114; Argos97/2_115; Argos97/2_123; Argos97/2_125; Argos97/2_126; Argos97/2_128; Argos97/2_129; Argos97/2_130; Argos97/2_131; Argos97/2_132; Argos97/2_133; Argos97/2_134; Argos97/2_135; Argos97/2_136; Argos97/2_137; Argos97/2_138; Argos97/2_139; Argos97/2_140; Argos97/2_141; Argos97/2_142; Argos97/2_143; Argos97/2_144; Argos97/2_145; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, total; Oxygen; pH; Phosphate; Phosphorus, total; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water; The Sound
    Type: Dataset
    Format: text/tab-separated-values, 3043 data points
    Location Call Number Expected Availability
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  • 169
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Argos; Argos98/2; Argos98/2_037; Argos98/2_039; Argos98/2_046; Argos98/2_047; Argos98/2_048; Argos98/2_049; Argos98/2_057; Argos98/2_058; Argos98/2_059; Argos98/2_060; Argos98/2_062; Argos98/2_067; Argos98/2_068; Argos98/2_069; Argos98/2_070; Argos98/2_078; Argos98/2_079; Argos98/2_080; Argos98/2_081; Argos98/2_083; Argos98/2_084; Argos98/2_085; Argos98/2_086; Argos98/2_087; Argos98/2_094; Argos98/2_095; Argos98/2_097; Argos98/2_104; Argos98/2_105; Argos98/2_106; Argos98/2_107; Argos98/2_108; Argos98/2_115; Argos98/2_116; Argos98/2_119; Argos98/2_120; Argos98/2_125; Argos98/2_127; Argos98/2_129; Argos98/2_137; Argos98/2_139; Argos98/2_140; Argos98/2_142; Argos98/2_149; Argos98/2_150; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, total; Oxygen; pH; Phosphate; Phosphorus, total; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water; The Sound
    Type: Dataset
    Format: text/tab-separated-values, 2580 data points
    Location Call Number Expected Availability
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  • 170
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Aragonite saturation state, standard deviation; Bicarbonate ion; Bicarbonate ion, standard deviation; Calcite saturation state; Calcite saturation state, standard deviation; Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbon dioxide, partial pressure, standard deviation; EPOCA; European Project on Ocean Acidification; Experimental treatment; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 144 data points
    Location Call Number Expected Availability
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  • 171
    facet.materialart.
    Unknown
    PANGAEA
    In:  Institute of Biology of the Southern Seas, National Academy of Sciences of Ukraine, Sevastopol
    Publication Date: 2023-03-14
    Keywords: Akademik Vernadsky; AV3; AV3_175-1; AV3_176-1; AV3_177-1; AV3_178-1; AV3_179-1; AV3_180-1; AV3_181-1; AV3_182-1; AV3_183-1; AV3_184-1; AV3_185-1; AV3_186-1; AV3_187-1; AV3_189-1; AV3_190-1; AV3_191-1; AV3_192-1; AV3_193-1; AV3_194-1; AV3_195-1; AV3_196-1; AV3_197-1; AV3_199-1; AV3_200-1; AV3_201-1; AV3_202-1; AV3_203-1; AV3_205-1; AV3_206-1; AV3_207-1; AV3_209-1; AV3_210-1; AV3_211-1; AV3_212-1; AV3_214-1; AV3_215-1; AV3_216-1; AV3_217-1; AV3_219-1; AV3_221-1; AV3_222-1; AV3_223-1; AV3_224-1; AV3_225-1; AV3_226-1; AV3_227-1; AV3_228-1; AV3_229-1; AV3_230-1; Canarias Sea; Caribbean Sea; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Determination of phosphate (Denigès & Atkins); Elevation of event; Event label; Latitude of event; Longitude of event; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; Phosphate; Reversing thermometer; Salinity; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 4042 data points
    Location Call Number Expected Availability
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  • 172
    facet.materialart.
    Unknown
    PANGAEA
    In:  Marine Hydrophysical Institute, National Academy of Sciences of Ukraine
    Publication Date: 2023-03-14
    Keywords: Black Sea; CTD; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; Hydrogen sulfide; Latitude of event; Longitude of event; Nitrate; Nitrite; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; Phosphate; PK33; PK33_5954; PK33_5956; PK33_5957; PK33_5958; PK33_5959; PK33_5960; PK33_5961; PK33_5962; PK33_5963; PK33_5964; PK33_5965; PK33_5966; PK33_5967; PK33_5968; PK33_5969; PK33_5970; PK33_5971; PK33_5972; PK33_5973; PK33_5974; PK33_5975; PK33_5977; PK33_5979; PK33_5981; PK33_5984; PK33_5985; PK33_5987; PK33_5990; PK33_5991; PK33_5992; PK33_5994; PK33_5996; PK33_5997; PK33_5998; PK33_5999; PK33_6000; PK33_6001; PK33_6004; PK33_6005; PK33_6006; PK33_6007; PK33_6008; PK33_6009; PK33_6010; PK33_6011; PK33_6012; PK33_6013; PK33_6015; PK33_6017; PK33_6018; PK33_6019; PK33_6020; PK33_6021; PK33_6022; PK33_6023; PK33_6024; PK33_6025; PK33_6026; PK33_6028; PK33_6029; PK33_6030; PK33_6031; PK33_6032; PK33_6033; PK33_6034; PK33_6035; PK33_6036; PK33_6037; PK33_6038; PK33_6039; Professor Kolesnikov; Salinity; Silicate; Temperature, water; Titration
    Type: Dataset
    Format: text/tab-separated-values, 6574 data points
    Location Call Number Expected Availability
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  • 173
    Publication Date: 2023-03-14
    Keywords: Alkalinity, Gran titration (Gran, 1950); Alkalinity, total; Aragonite saturation state; Bicarbonate ion; Calcite saturation state; Calculated using CO2SYS; Carbon, inorganic, dissolved; EPOCA; European Project on Ocean Acidification; Experimental treatment; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; Salinity; Temperature, water; WTW 340i pH-analyzer and WTW SenTix 81-electrode
    Type: Dataset
    Format: text/tab-separated-values, 740 data points
    Location Call Number Expected Availability
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  • 174
    Publication Date: 2023-03-14
    Keywords: Bicarbonate ion; Calcium; Calculated; Chloride; Conductivity, electrolytic; Date/Time of event; Delta_Pingo; Disko Island, West Greenland; Event label; Fan_Pingo; Geological sample; GEOS; Magnesium; pH; Potassium; Sodium; Sodium/Potassium ratio; Sulfate; Sulfate/Chlorine ratio; δ18O
    Type: Dataset
    Format: text/tab-separated-values, 24 data points
    Location Call Number Expected Availability
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  • 175
    Publication Date: 2023-03-14
    Keywords: Adenosine 5-Triphosphate; Calcium; Casey_Station; Chlorine; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Loss on ignition; Magnesium; pH; Phosphate; Sample code/label; Sample type; STAT; Station; Vincennes Bay, Antarctica; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 120 data points
    Location Call Number Expected Availability
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  • 176
    Publication Date: 2023-03-14
    Keywords: CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Latitude of event; Longitude of event; North Sea; Oxygen; pH; Pressure, water; Salinity; Temperature, water; Thalassa; Thalassa11/1; Thalassa11/1_001; Thalassa11/1_002; Thalassa11/1_004; Thalassa11/1_005; Thalassa11/1_006; Thalassa11/1_007; Thalassa11/1_008; Thalassa11/1_009; Thalassa11/1_010; Thalassa11/1_011; Thalassa11/1_012; Thalassa11/1_013; Thalassa11/1_014; Thalassa11/1_015; Thalassa11/1_016; Thalassa11/1_017; Thalassa11/1_018; Thalassa11/1_019; Thalassa11/1_020; Thalassa11/1_021; Thalassa11/1_022; Thalassa11/1_023; Thalassa11/1_024; Thalassa11/1_025; Thalassa11/1_026; Thalassa11/1_027; Thalassa11/1_028; Thalassa11/1_029; Thalassa11/1_030; Thalassa11/1_031; Thalassa11/1_032; Thalassa11/1_034; Thalassa11/1_035; Thalassa11/1_036; Thalassa11/1_037; Thalassa11/1_038; Thalassa11/1_039; Thalassa11/1_040; Thalassa11/1_041; Thalassa11/1_042; Thalassa11/1_043; Thalassa11/1_044; Thalassa11/1_045; Thalassa11/1_046; Thalassa11/1_047; Thalassa11/1_048; Thalassa11/1_049; Thalassa11/1_050; Thalassa11/1_051; Thalassa11/1_052; Thalassa11/1_053; Thalassa11/1_054; Thalassa11/1_055; Thalassa11/1_056; Thalassa11/1_057; Thalassa11/1_058; Thalassa11/1_059; Thalassa11/1_060; Thalassa11/1_061; Thalassa11/1_062; Thalassa11/1_063; Thalassa11/1_064; Thalassa11/1_065; Thalassa11/1_066; Thalassa11/1_067; Thalassa11/1_068; Thalassa11/1_069; Thalassa11/1_070; Thalassa11/1_071; Thalassa11/1_072; Thalassa11/1_073; Thalassa11/1_074; Thalassa11/1_075; Thalassa11/1_076; Thalassa11/1_077; Thalassa11/1_078; Thalassa11/1_079; Thalassa11/1_080; Thalassa11/1_081; Thalassa11/1_082; Thalassa11/1_083; Thalassa11/1_084; Thalassa11/1_085; Thalassa11/1_086; Thalassa11/1_087; Thalassa11/1_088; Thalassa11/1_089; Thalassa11/1_090; Thalassa11/1_091; Thalassa11/1_092; Thalassa11/1_093; Thalassa11/1_094; Thalassa11/1_095; Thalassa11/1_096; Thalassa11/1_097; Thalassa11/1_098; Thalassa11/1_099; Thalassa11/1_100; Thalassa11/1_101; Thalassa11/1_102; Thalassa11/1_103; Thalassa11/1_104; Thalassa11/1_105; Thalassa11/1_106; Thalassa11/1_107; Thalassa11/1_108; Thalassa11/1_109; Thalassa11/1_110; Thalassa11/1_111; Thalassa11/1_112; Thalassa11/1_113; Thalassa11/1_114; Thalassa11/1_115; Thalassa11/1_116; Thalassa11/1_117; Thalassa11/1_118; Thalassa11/1_119; Thalassa11/1_120; Thalassa11/1_121; Thalassa11/1_122; Thalassa11/1_123; Thalassa11/1_124; Thalassa11/1_125; Thalassa11/1_126; Thalassa11/1_127; Thalassa11/1_128; Thalassa11/1_129; Thalassa11/1_130; Thalassa11/1_131; Thalassa11/1_132; Thalassa11/1_133; Thalassa11/1_134; Thalassa11/1_135; Thalassa11/1_136; Thalassa11/1_137; Thalassa11/1_138; Thalassa11/1_139; Thalassa11/1_140; Thalassa11/1_141; Thalassa11/1_143; Thalassa11/1_144; Thalassa11/1_145; Thalassa11/1_146; Thalassa11/1_147; Thalassa11/1_148; Thalassa11/1_149; Thalassa11/1_150; Thalassa11/1_151; Thalassa11/1_152; Thalassa11/1_153; Thalassa11/1_154; Thalassa11/1_155; Thalassa11/1_159; Thalassa11/1_160; Thalassa11/1_161; Thalassa11/1_162; Thalassa11/1_163; Thalassa11/1_164; Thalassa11/1_165; Thalassa11/1_166; Thalassa11/1_167; Thalassa11/1_168; Thalassa11/1_169; Thalassa11/1_170; Thalassa11/1_171; Thalassa11/1_172; Thalassa11/1_173; Thalassa11/1_175; Thalassa11/1_176; Thalassa11/1_177; Thalassa11/1_178; Thalassa11/1_179; Thalassa11/1_180; Thalassa11/1_181; Thalassa11/1_182; Thalassa11/1_183; Thalassa11/1_184; Thalassa11/1_185; Thalassa11/1_186; Thalassa11/1_187; Thalassa11/1_188; Thalassa11/1_189; Thalassa11/1_190; Thalassa11/1_191; Thalassa11/1_192; Thalassa11/1_193; Thalassa11/1_194; Thalassa11/1_195; Thalassa11/1_196; Thalassa11/1_197; Thalassa11/1_198; Thalassa11/1_199; Thalassa11/1_200; Thalassa11/1_201; Thalassa11/1_202; Thalassa11/1_203; Thalassa11/1_204; Thalassa11/1_205; Thalassa11/1_206; Thalassa11/1_207; Thalassa11/1_208; Thalassa11/1_209; Thalassa11/1_210; Thalassa11/1_211; Thalassa11/1_212
    Type: Dataset
    Format: text/tab-separated-values, 29818 data points
    Location Call Number Expected Availability
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  • 177
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; Corumba_reservoir; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 3620 data points
    Location Call Number Expected Availability
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  • 178
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Estreito_reservoir; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 2579 data points
    Location Call Number Expected Availability
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  • 179
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Itumbiara; Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 29501 data points
    Location Call Number Expected Availability
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  • 180
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; Serra_da_Mesa_reservoir; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 1708 data points
    Location Call Number Expected Availability
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  • 181
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Estreito_reservoir; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 20847 data points
    Location Call Number Expected Availability
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  • 182
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Funil_reservoir; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 53707 data points
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  • 183
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Conductivity; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit); Xingo_reservoir
    Type: Dataset
    Format: text/tab-separated-values, 4292 data points
    Location Call Number Expected Availability
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  • 184
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; BIOACID; Biological Impacts of Ocean Acidification; Carbon dioxide; Fugacity of carbon dioxide in seawater; pH
    Type: Dataset
    Format: text/tab-separated-values, 210 data points
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  • 185
    Publication Date: 2023-03-14
    Keywords: BIOACID; Biological Impacts of Ocean Acidification; Cell density; Cell density, standard deviation; Figure; pH; Species
    Type: Dataset
    Format: text/tab-separated-values, 43 data points
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  • 186
    Publication Date: 2023-03-14
    Keywords: Cape_Evans_OA; DATE/TIME; EXP; Experiment; pH; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 2206 data points
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  • 187
    Publication Date: 2023-03-14
    Keywords: Aleutian Islands Alaska; Attu_Island; BIOACID; Biological Impacts of Ocean Acidification; Constant; Distance; DIVER; pH; Sample code/label; Sampling by diver; δ11B
    Type: Dataset
    Format: text/tab-separated-values, 455 data points
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  • 188
    Publication Date: 2023-03-14
    Keywords: Biomass; Biomass, standard error; Experiment day; pH; pH, standard deviation; Species; Strain; Time in hours
    Type: Dataset
    Format: text/tab-separated-values, 288 data points
    Location Call Number Expected Availability
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  • 189
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Aragonite saturation state, standard deviation; Bottom water temperature; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using CO2SYS; Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbon dioxide; Carbon dioxide, partial pressure; Carbon dioxide, partial pressure, standard deviation; Carbon dioxide, standard deviation; CIMR_V1-3_C1-3; Columbretes Islands, Mediterranean Sea; CTD/STD SD204, SAIV A/S; DATE/TIME; Group; MULT; Multiple investigations; pH; pH, standard deviation; Potentiometric open-cell titration; Salinity; Site
    Type: Dataset
    Format: text/tab-separated-values, 120 data points
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  • 190
    Publication Date: 2023-03-14
    Keywords: Acidity; Alkalinity, total; Ammonium; AWI_PerDyn; AWI_POK-01; AWI Arctic Land Expedition; Bottom water temperature; Conductivity, electrolytic; DATE/TIME; Depth, bottom/max; DEPTH, water; Hardness description; Kytalyk-Pokhodsk_2012, Kolyma2012; Monitoring station; MONS; Nitrate; Oxygen; Permafrost Research (Periglacial Dynamics) @ AWI; pH; Phosphate; RU-Land_2012_Kytalyk_Kolyma; Sample code/label; Siberia, Russia; Temperature, air; Temperature, water; Thaw depth of active layer
    Type: Dataset
    Format: text/tab-separated-values, 126 data points
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  • 191
    Publication Date: 2023-03-14
    Keywords: AWI_PerDyn; AWI_Pi01; AWI_Pi02; AWI_Pi03; AWI_Pi04; AWI_Pi05; AWI_Pi06; AWI_Pi07; AWI_Pi08; AWI_Pi09; AWI_Pi10; AWI_Pi11; AWI_Pi12; AWI_Pi13; AWI_Pi14; AWI_PiL; AWI Arctic Land Expedition; DEPTH, soil; Depth, soil, maximum; Depth, soil, minimum; East Siberia; Event label; islet1; islet2.center; islet2.wall; Kytalyk-Pokhodsk_2012, Kolyma2012; LAND; Latitude of event; Longitude of event; Permafrost Research (Periglacial Dynamics) @ AWI; pH; RU-Land_2012_Kytalyk_Kolyma; Sampling/measurement on land; Siberia, Russia; Soil horizon; Soil type
    Type: Dataset
    Format: text/tab-separated-values, 195 data points
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  • 192
    Publication Date: 2023-03-14
    Keywords: Conductivity; CTD-Acoustic Doppler Current Profiler; CTD-ADCP; CTD-ADCP_20140822; DATE/TIME; Density, sigma-theta (0); DEPTH, water; Fluorescence; Salinity; Temperature, water; Tyrrhenian Sea
    Type: Dataset
    Format: text/tab-separated-values, 22440 data points
    Location Call Number Expected Availability
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  • 193
    Publication Date: 2023-03-14
    Keywords: Conductivity; CTD-Acoustic Doppler Current Profiler; CTD-ADCP; CTD-ADCP_20150828; DATE/TIME; Density, sigma-theta (0); DEPTH, water; Fluorescence; Salinity; Temperature, water; Tyrrhenian Sea
    Type: Dataset
    Format: text/tab-separated-values, 46315 data points
    Location Call Number Expected Availability
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  • 194
    Publication Date: 2023-03-14
    Keywords: BIOACID; BIOACID 2 PNG2013; Biological Impacts of Ocean Acidification; DATE/TIME; DIVER; Environment; LATITUDE; Layer description; Location; LONGITUDE; M.V. Chertan; Number; Papua_New_Guinea_CO2_vent; pH; Sample code/label; Sample ID; Sampling by diver
    Type: Dataset
    Format: text/tab-separated-values, 112 data points
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  • 195
    Publication Date: 2023-03-14
    Keywords: Change; Darlington; DATE/TIME; EXP; Experiment; Oxygen saturation; pH; pH change; Replicate; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 168 data points
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  • 196
    Publication Date: 2023-03-14
    Keywords: Darlington; DATE/TIME; DEPTH, water; Event label; EXP; Experiment; Fortescue_Bay; Habitat; LATITUDE; LONGITUDE; Oxygen; pH; ph electrode; pHTempion; Replicate; Salinity; SeaPHOX; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 9497 data points
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  • 197
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    Unknown
    PANGAEA
    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Chloride; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 197 data points
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  • 198
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    Unknown
    PANGAEA
    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Chloride; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 226 data points
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  • 199
    facet.materialart.
    Unknown
    PANGAEA
    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Chloride; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 217 data points
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  • 200
    facet.materialart.
    Unknown
    PANGAEA
    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Chloride; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 307 data points
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