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  • PANGAEA  (5,785)
  • Blackwell Publishing Ltd
  • Wiley-Blackwell
  • 2010-2014  (5,807)
  • 1990-1994
  • 2011  (5,807)
Collection
Keywords
Years
  • 2010-2014  (5,807)
  • 1990-1994
Year
  • 1
    Publication Date: 2021-06-08
    Description: We investigated the high frequency attenuation of S-waves in Southeastern Alps and Northern External Dinarides using waveforms from 331 earthquakes (3.0〈 Mw〈 6.5). The spectral decay parameter, k, was computed using 1345 three component high quality records, collected by the Italian Strong Motion Network (RAN) and by the Short-Period Seismometric Network of North-Eastern Italy (NEI) in the period 1976-2007. Weak motion data from 11 stations of the NEI network and strong motion data collected by 5 accelerometers of the RAN were analyzed. The k parameter was estimated in the 0-250 Km distance range, in a frequency band extending from the corner frequency of the event up to 25 or 45 Hz, using the amplitude acceleration Fourier spectra of S-waves. The observed record-to-record variability of k was modeled by applying a generalized inversion procedure, using both parametric and non-parametric approaches. Our results evidence that k is independent on earthquake size, while it shows both site and distance dependence. Stations of the NEI network present the same increase of k with epicentral distance, Re, and show values of the zero-distance k parameter, k0(S), between 0.017 and 0.053 s. For the whole region, the k increase with distance can be described through a linear model with slope dk/dRe = (1.4±0.1)x10^(-4) s/Km. Assuming an average S-wave velocity, 〈Vs〉=3.34 Km/s between 5 and 15 Km depth, we estimate an average frequency independent quality factor, 〈Qi〉=2140, for the corresponding crustal layer. The non-parametric approach evidences a weak positive concavity of the curve that describes the k increase with Re at about 90 Km distance. This result can be approximated through a piecewise linear function with slopes of 1.0x10^(-4) s/Km and 1.7x10^(-4) s/Km, in accordance with a three layers model where moving from the intermediate to the bottom layer both 〈Qi〉 and 〈Vs〉 decrease. Two regional dependences were found: data from earthquakes located westward to the NEI network evidence weaker attenuation properties, probably because of S-wave reflections from different part of the Moho discontinuity under the eastern Po Plain, at about 25-30 Km depth, while earthquakes located eastward (in western Slovenia), where the Moho deepens up to 45-50 Km, evidence a higher attenuation. Moreover, the k estimates obtained with data from earthquakes located in the area of the 1998 (Mw=5.7) and 2004 (Mw=5.2) Kobarid events are 0.017 s higher than the values predicted for the whole region, probably because of the high level of fracturing that characterizes fault zones. The comparison between measured and theoretical values of k, computed at a few stations with available S-wave velocity profiles, reveals that the major contribution to the total k0(S) is due to the sedimentary column (from surface to 800 m depth). The hard rock section contribution is limited to 0.005 s, in accordance with a maximum contribution of 0.010 s predicted by the non-parametric inversion.
    Description: Published
    Description: 1393-1416
    Description: 3.3. Geodinamica e struttura dell'interno della Terra
    Description: JCR Journal
    Description: open
    Keywords: Earthquake source observations ; Body waves ; Seismic attenuation ; Site effects ; Wave propagation ; 04. Solid Earth::04.06. Seismology::04.06.04. Ground motion
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 2
    Publication Date: 2021-06-07
    Description: We present a high-resolution palaeomagnetic and rock magnetic study of two cores, MS06 and MS06-SW (6.7 and 1.1 m long, respectively), collected at 72 m below sea level in the Augusta Bay shelf (Eastern Sicily, Ionian Sea, Italy) about 2.3 kmfrom the coastline. Geophysical surveying carried out in the sampling area highlighted the presence of a homogeneous sedimentary sequence that most likely was deposited after the Last Glacial Maximum and was not affected by anthropogenic disturbances. The two cores penetrated a monotonous mud sedimentary sequence, interrupted at ∼3 m depth by a 3–4-cm-thick volcanic sandy layer that is correlated with the tephra fallout deposit produced by the 122 BC plinian eruption of Mt Etna. This tephra, along with radiocarbon dating of nine marine shells and with radioactive tracers for the uppermost 0.3 m (210Pb and 137Cs), provide the chronological constraints for the stratigraphic sequence that resulted younger than 4500 yr BP. Palaeomagnetic and rock magnetic data show that the sample sequence is magnetically homogeneous. A single peak of high magnetic mineral concentration is present and corresponds to the volcanic sandy layer. Palaeomagnetic data allowed the identification of a well-defined characteristic remanent magnetization that provides a high-resolution record of palaeosecular variation (PSV) at the sampling site. The reconstructed PSV curve is in good agreement with the available regional reference PSV curves and with the prediction from recent PSV modelling for Europe. The palaeomagnetic data obtained in this study on the one hand support and refine the age model for the cores, derived from other independent constraints, and on the other hand provide an original high-resolution PSV curve that can serve as a reference for the central Mediterranean over the last 4 ka.
    Description: Published
    Description: 191 - 202
    Description: 2.2. Laboratorio di paleomagnetismo
    Description: JCR Journal
    Description: restricted
    Keywords: Palaeointensity ; Palaeomagnetic secular variation ; Marine magnetics and palaeomagnetics ; Europe ; 04. Solid Earth::04.05. Geomagnetism::04.05.02. Geomagnetic field variations and reversals ; 04. Solid Earth::04.05. Geomagnetism::04.05.06. Paleomagnetism
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 3
    Publication Date: 2016-08-05
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 4
    Publication Date: 2017-04-04
    Description: The connection between Tropical Pacific and North Pacific variability is investigated in a state-of-the art coupled ocean-atmosphere model, comparing two 20th century simulations at T30 and T106 atmospheric horizontal resolutions. Despite a better simulation of the frequency and the spatial distribution of the Tropical Pacific anomalies associated with the El Nino Southern Oscillation (ENSO) in the high-resolution experiment, the response in the North Pacific is scarcely different from the low-resolution experiment where the ENSO variability is weaker and at higher than observed frequency. In the North Pacific, the response of surface atmospheric fields to the variability in the Tropical Pacific appears to be affected by local coupling processes significantly different in the two experiments. The coupling between sea level pressure (SLP) and sea surface temperature (SST) in the North Pacific as well as the influence of the Tropical Pacific SST has been measured here by means of the ‘coupled manifold’ technique. In the low-resolution case the SLP variances linked to the fraction of North Pacific SST not influenced by the Tropical Pacific are weak suggesting that the remote influence is strong, consistently with the observations. On the contrary, in the high-resolution experiment the fractions and the patterns of the SLP variances due to the Tropical Pacific SST and those linked to the North Pacific SST are comparable. In the latter case, model systematic errors in the northwestern Pacific influences the local coupling processes thus triggering the remote response. We conclude that an increased atmospheric horizontal resolution does not reduce the coupled model systematic errors in the representation of the teleconnection between the North and the Tropical Pacific and that the validation of coupled models has to consider both remote and local processes.
    Description: Published
    Description: 1640-1653
    Description: 3.7. Dinamica del clima e dell'oceano
    Description: JCR Journal
    Description: open
    Keywords: Tropical Pacific-North Pacific teleconnection ; ENSO ; coupled GCMs ; 01. Atmosphere::01.01. Atmosphere::01.01.02. Climate ; 01. Atmosphere::01.01. Atmosphere::01.01.04. Processes and Dynamics ; 03. Hydrosphere::03.01. General::03.01.03. Global climate models
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 5
    Publication Date: 2017-04-04
    Description: Edifice instability, that can result in catastrophic flank collapse, is a fundamental volcanic hazard. The subvolcanic basement can encourage such instability, especially if it is susceptible to mechanical weakening by devolatilization reactions near magmatic temperatures. For this reason, understanding how the physical and chemical properties of representative lithologies deteriorate at high temperatures is potentially highly relevant for volcanic hazard mitigation. This is particularly true for sedimentary rock, commonly found underlying volcanic edifices worldwide, that undergo rapid deterioration even under modest temperatures. Therefore, here we present the first experimental study of devolatilization reactions, induced by magmatic temperatures, on sedimentary rock comprising a subvolcanic basement. Our results show that, for a marly limestone representative of the basement at Mt Etna, devolatilization reactions, namely the dehydroxylation of clay minerals and the decarbonation of calcium carbonate, result in a dramatic reduction of mechanical strength and seismic velocities. These temperature-driven reactions can promote volcanic instability at stresses much lower than previously estimated.
    Description: Published
    Description: 1073–1077
    Description: 2.3. TTC - Laboratori di chimica e fisica delle rocce
    Description: JCR Journal
    Description: reserved
    Keywords: Phase transitions ; Experimental volcanism ; 04. Solid Earth::04.01. Earth Interior::04.01.04. Mineral physics and properties of rocks
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 6
    Publication Date: 2017-04-03
    Description: With the continued growth in availability of DInSAR and GPS data, space based geodesy has been widely applied to image the coseismic displacement field and to retrieve the static dislocation over the fault plane for almost all the significant earthquakes of the past two decades. This is performed by linear data inversion over a set of subfaults, generally characterized by a constant and predefined or manually adjusted dimensions. In this paper we propose a new algorithm to automatically retrieve an optimized fault subdivision in the linear inversion of coseismic geodetic data. The code iteratively keeps the parameter resolution close to a predefined high value. We first discuss the rationale supporting our algorithm and, after a detailed description of its implementation, we analyze the advantages of its introduction in the data inversion. The algorithm was tested against an exhaustive range of synthetic and real datasets and fault mechanisms. Among them, we present the results for the Mw 6.2, 2009 L’Aquila (Central Italy) earthquake and compare the new and previously published slip distributions showing the disappearance of misleading slip pattern and the increased resolution for shallower zones.
    Description: Published
    Description: 529-538
    Description: 1.10. TTC - Telerilevamento
    Description: JCR Journal
    Description: open
    Keywords: fault modelling ; geodetic data inversion ; 04. Solid Earth::04.03. Geodesy::04.03.07. Satellite geodesy
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 7
    Publication Date: 2017-04-04
    Description: The 2009 April 6, Mw= 6.3 L’Aquila earthquake occurred within a complex system of NW–SE trending normal faults in the Abruzzi Central Apennines (Italy). We analyse the coseismic deformation as measured by 〉70 global positioning system (GPS) stations, both from continuous and survey-mode networks, providing unprecedented details for a moderate normal faulting earthquake in Italy from GPS measurements. We use rectangular, uniform-slip, dislocations embedded in an elastic, homogeneous and isotropic half-space and a constrained, non-linear optimization algorithm, to solve for the best-fitting rectangular dislocation geometry and coseismic-slip distribution. We use a bootstrap approach to investigate uncertainties in the model parameters and define confidence bounds for all the inverted parameters. The rupture occurred on a N129°E striking and 50° southwestward dipping normal fault, in agreement with geological observations of surface breaks along the Paganica fault. Our distributed slip model exhibits a zone of relatively higher slip (〉60 cm) between ∼1.5 and ∼11 km depth, along a roughly downdip, NW–SE elongated patch, confined within the fault plane inverted assuming uniform-slip. The highest slip, of the order of ∼1 m, occurred on a ∼16 km2 area located at ∼5 km depth, SE of the mainshock epicentre. The analysis of model resolution suggests that slip at depth below ∼5 km can be resolved only at a spatial scale larger than 2 km, so a finer discretization of different asperities within the main patch of coseismic-slip is not allowed by GPS data. We compute the coseismic Coulomb stress changes in the crustal volume affected by the major aftershocks, and compare the results obtained from the uniform-slip and the heterogeneous-slip models. We find that most of the large aftershocks occurred in areas of Coulomb stress increase of 0.2–13 bar and that a deepening of the slip distribution down to a depth greater than 6 km in the SE part of the fault plane, in agreement with the inverted slip model, can explain the deepest, April 7, Mw 5.3 aftershock.
    Description: Published
    Description: 473-489
    Description: 1.9. Rete GPS nazionale
    Description: 3.2. Tettonica attiva
    Description: JCR Journal
    Description: reserved
    Keywords: Satellite geodesy ; Space geodetic surveys ; Earthquake ground motions ; Earthquake source observations ; Earthquake interaction, forecasting, and prediction ; 04. Solid Earth::04.03. Geodesy::04.03.01. Crustal deformations ; 04. Solid Earth::04.03. Geodesy::04.03.07. Satellite geodesy ; 04. Solid Earth::04.06. Seismology::04.06.01. Earthquake faults: properties and evolution ; 04. Solid Earth::04.06. Seismology::04.06.02. Earthquake interactions and probability ; 04. Solid Earth::04.06. Seismology::04.06.03. Earthquake source and dynamics ; 04. Solid Earth::04.06. Seismology::04.06.06. Surveys, measurements, and monitoring
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 8
    Publication Date: 2017-04-04
    Description: We analyzed a broad region around L’Aquila in search of seismogenic faults similar to that responsible for the 6 April 2009 earthquake (Mw 6.3). Having the lessons learned from this earthquake in mind, we focused on adjacent areas displaying similar morphotectonic, geological and structural evidence. The basin running from Barisciano to Civitaretenga-Navelli, notably located near the southeastern edge of the 2009 aftershock pattern, appears to be one of such areas. We collected morphotectonic and structural data indicating that this basin is underlain by a major active normal fault (San Pio Fault). All the observations are very much reminiscent of the morphotectonic, geological and structural setting of area struck by the L’Aquila earthquake, suggesting that the newly identified fault has the potential for a Mw 6.2-6.4 shock.
    Description: Published
    Description: Pages: 108–115
    Description: 3.2. Tettonica attiva
    Description: JCR Journal
    Description: partially_open
    Keywords: Seismotectonics ; Morphotectonics ; Active fault ; San Pio basin ; 04. Solid Earth::04.04. Geology::04.04.01. Earthquake geology and paleoseismology ; 04. Solid Earth::04.04. Geology::04.04.03. Geomorphology ; 04. Solid Earth::04.04. Geology::04.04.09. Structural geology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 9
    Publication Date: 2017-04-04
    Description: Methane soil flux measurements have been made in 38 sites at the geothermal system of Sousaki (Greece) with the closed chamber method. Fluxes range from –47.6 to 29,150 mg m-2 d-1 and the diffuse CH4 output of the system has been estimated at 19 t a-1. Contemporaneous CO2 flux measurements showed a moderate positive correlation between CO2 and CH4 fluxes. Comparison of the CO2/CH4 soil flux ratios with the CO2/CH4 ratio of the gases of the main gas manifestations provided evidence for methanotrophic activity within the soil. Laboratory CH4 consumption experiments confirmed the presence of methanotrophic microorganisms in soil samples collected at Sousaki. Consumption was generally in the range from –4.9 to –38.9 pmolCH4 h-1 g-1 but could sometimes reach extremely high values (–33,000 pmolCH4 h-1 g-1.). These results are consistent with recent studies on other geothermal systems that revealed the existence of thermoacidophilic bacteria exerting methanotrophic activity in hot, acid soils, thereby reducing methane emissions to the atmosphere.
    Description: Published
    Description: 97–107
    Description: 4.5. Studi sul degassamento naturale e sui gas petroliferi
    Description: JCR Journal
    Description: reserved
    Keywords: Sousaki ; accumulation chamber ; soil degassing ; hydrothermal systems ; methane output ; methanotrophic activity ; 01. Atmosphere::01.01. Atmosphere::01.01.07. Volcanic effects ; 04. Solid Earth::04.04. Geology::04.04.12. Fluid Geochemistry ; 04. Solid Earth::04.08. Volcanology::04.08.01. Gases
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 10
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    Blackwell Publishing Ltd
    Publication Date: 2017-04-04
    Description: We present a new crustal model for the European plate, derived from collection and critical integration of information selected from the literature. The model covers the whole European plate from North Africa to the North Pole (20N - 90N) and from the Mid-Atlantic Ridge to the Urals (40W - 70E). The chosen parameterization represents the crust in three layers (sediments, upper crust and lower crust), and describes the 3D geometry of the interfaces and seismologically-relevant parameters — isotropic P- and S-wave velocity, plus density — with a resolution of 0.5 × 0.5 degrees on a geographical latitude-longitude grid. We selected global and local models, derived from geological assumptions, active seismic experiments, surface-wave studies, noise correlation, receiver functions. Model EPcrust presents significant advantages with respect to previous models: it covers the whole European plate; it is a complete and internally-consistent model (with all the parameters provided, also for the sedimentary layer); it is reproducible; it is easy to update in the future by adding new contributions; and it is available in a convenient digital format. EPcrust could be used to account for crustal structure in seismic wave propagation modeling at continental scale or to compute linearized crustal corrections in continental-scale seismic tomography, gravity studies, dynamic topography and other applications that require a reliable crustal structure. Because of its resolution, our model is not suited for local-scale studies, such as the computation of earthquake scenarios, where more detailed knowledge of the structure is required. We plan to update the model as new data will become available, and possibly improve its resolution for selected areas in the future.
    Description: Published
    Description: 352-364
    Description: 3.3. Geodinamica e struttura dell'interno della Terra
    Description: JCR Journal
    Description: reserved
    Keywords: Europe ; crust ; crustal properties ; Moho ; 04. Solid Earth::04.01. Earth Interior::04.01.99. General or miscellaneous ; 04. Solid Earth::04.01. Earth Interior::04.01.01. Composition and state
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 11
    Publication Date: 2019-12-03
    Description: The aerosol climatology at the coastal Antarctic Neumayer Station (NM) was investigated based on continuous, 25 years long observations of biogenic sulfur components (methanesulfonate and non sea salt sulfate), sea salt and nitrate. Whilst significant long-term trends could only be detected for nitrate (-3.6±2.5% per year between 1983 and 1993 and +4.0±3.2% per year from 1993-2007), non-harmonic periodicities between 2 and 5 years were typical for all species. Dedicated time series analyses revealed that relations to sea ice extent and various circulation indices are weak at best or not significant. In particular, no consistent link between sea ice extent and sea salt loadings was evident suggesting only a rather local relevance of the NM sea salt record. Nevertheless, a higher Southern Annular Mode index tended to entail a lower biogenic sulfur signal. In examining the spatial uniformity of the NM findings we contrasted them to respective 17 years records from the coastal Dumont d’Urville Station (DDU). We found similar long term trends for nitrate, indicating an Antarctic-wide but not identifiable atmospheric signal, though any significant impact of solar activity or pollution could be ruled out. No inter-site variability on the multi annual scale was evident for the other ionic compounds.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 12
    Publication Date: 2019-12-03
    Description: We investigated the variability of 210Pb, 7Be and 10Be in coastal Antarctica aerosol samples based on continuous, monthly and annually resolved time series which we obtained from Neumayer Station over the period 1983 to 2008. Clear seasonal cycles peaking in the local summer half year stands out in being common to all three radionuclide records. However, MC-SSA time series analyses suggest that significant multi-annual changes are confined to a 4-5 years periodicity resembling that of the SAM circulation index in case of 210Pb and to the expected solar decadal cycle in case of the cosmogenic Be-isotopes. Both, changes in the meridional transport and surface inversion strength appear to drive the seasonal 210Pb cycle which generally peaks in November. In contrast, stratospheric air mass intrusion are proved to be the main reason for the Be-isotopes seasonality as revealed by enhanced 10Be/ 7Be ratios occurring broadly concurrently with the individual Be-isotopes and the 7Be/210Pb ratios during late summer/early autumn. Although both, the (annual) 10Be and the monthly 7Be records reflects the decadal solar modulated production signal the detailed pattern of their decadal changes essentially deviate for unknown reasons, though a substantial excess 7Be production by solar energetic particles could be ruled out.
    Repository Name: EPIC Alfred Wegener Institut
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  • 13
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    PANGAEA
    In:  EPIC3Alfred Wegener Institute for Polar and Marine Research, Bremerhaven., Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 14
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    PANGAEA
    In:  EPIC3HYPOX, Deliverable 7.1., Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 15
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    PANGAEA
    In:  EPIC3copy of web page of Technische Universität München at http://www.iapg.bv.tum.de/ESA-Mass-Transport., Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 16
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    PANGAEA
    In:  EPIC3Météo-France, Direction des systèmes d'Observation, BP 202 78 195 Trappes, France., Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 17
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 18
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 19
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 20
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 21
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 22
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 23
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    PANGAEA
    In:  EPIC3WMO., Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 24
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    PANGAEA
    In:  EPIC3WMO., Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 25
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    PANGAEA
    In:  EPIC3WMO., Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 26
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    PANGAEA
    In:  EPIC3WMO., Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 27
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    PANGAEA
    In:  EPIC3WMO., Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 28
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    PANGAEA
    In:  EPIC3WMO., Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
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  • 29
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    PANGAEA
    In:  EPIC3Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, Germany., Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
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  • 30
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    PANGAEA
    In:  EPIC3WMO., Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 31
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    PANGAEA
    In:  EPIC3WMO., Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 32
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    PANGAEA
    In:  EPIC3WMO., Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 33
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    PANGAEA
    In:  EPIC3Bjerknes Centre for Climate Research, Bergen, Norway, Bremerhaven, PANGAEA, 9 p.
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
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    In:  EPIC3WMO., Bremerhaven, PANGAEA
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    In:  EPIC3Valeport Limited, Devon, Datasheet Reference: MIDAS SVP version 2A, Feb 2011., Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
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    Publication Date: 2019-07-17
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    Publication Date: 2019-07-17
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    In:  EPIC3Alfred Wegener Institute for Polar and Marine Research, Bremerhaven., Bremerhaven, PANGAEA
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    In:  EPIC3Alfred Wegener Institute for Polar and Marine Research, Bremerhaven., Bremerhaven, PANGAEA
    Publication Date: 2015-09-07
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    In:  EPIC3Alfred Wegner Institute for Polar and Marine Research, Bremerhaven, Germany., Bremerhaven, PANGAEA
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    In:  EPIC3FIELAX Gesellschaft für wissenschaftliche Datenverarbeitung mbH., Bremerhaven, PANGAEA
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    In:  EPIC3FIELAX Gesellschaft für wissenschaftliche Datenverarbeitung mbH., Bremerhaven, PANGAEA
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    In:  EPIC3FIELAX Gesellschaft für wissenschaftliche Datenverarbeitung mbH., Bremerhaven, PANGAEA
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    In:  EPIC3FIELAX Gesellschaft für wissenschaftliche Datenverarbeitung mbH., Bremerhaven, PANGAEA
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    In:  EPIC3Bremerhaven, PANGAEA
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  • 51
    Publication Date: 2017-04-04
    Description: During the MW 5.7 and 6.0 Umbria–Marche earthquakes of 1997 September 26, the historical centre of Nocera Umbra suffered MCS intensity VII–VIII. The zone is located on the top of a hill, a condition potentially favourable to ground motion amplification. However, also vulnerability is higher on the hill because of the ancient age of buildings. A temporary array of eight seismological stations was installed across the hill to quantify the amplification effect due to topography.Waveforms of 14 aftershocks (2.6〈ML 〈4.1) are selected for the analysis. During each earthquake the largest amplitudes are observed on the hilltop, spectral ratios are computed using rotated horizontal components to search for directional effects. Amplifications are found in two separate frequency bands: one in the range 2–4 Hz, where the increase of amplitude is moderate (never exceeding a factor of 4) and the polarization is transversal to the hill major axis; the second above 10 Hz, where amplifications are larger and reach values as high as 25 Hz. High-frequency polarization varies for different sites and frequencies suggesting that smaller-scale complexities control the high frequency response. Synthetic seismograms of 2-D models confirm the occurrence of amplification, although not all details are fit by numerical simulations and the agreement between observations and models is significant only in terms of the fundamental resonance frequency, around 3 Hz. In the models, amplifications are much smaller than the observed ones. We conclude that topography could have been responsible for a small increase of damage in the hill zone but the most significant role on damage was played by the locally higher vulnerability.
    Description: Published
    Description: 977-987
    Description: 4.1. Metodologie sismologiche per l'ingegneria sismica
    Description: JCR Journal
    Description: reserved
    Keywords: Earthquake ground motion ; Site effects ; 04. Solid Earth::04.06. Seismology::04.06.04. Ground motion
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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    In:  EPIC3Alfred Wegener Institute for Polar and Marine Research, Bremerhaven., Bremerhaven, PANGAEA
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    In:  EPIC3INTERDYNAMIK., Bremerhaven, PANGAEA
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    In:  EPIC3web page of INTERNDYNAMIC subproject HOBIMED., Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
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    In:  EPIC3IFM-GEOMAR., Bremerhaven, PANGAEA
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    In:  EPIC3http://www.gdal.org/frmt_hfa.html., Bremerhaven, PANGAEA
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    In:  EPIC3Alfred Wegner Institute for Polar and Marine Research, Bremerhaven, Germany., Bremerhaven, PANGAEA
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    In:  EPIC3FIELAX Gesellschaft für wissenschaftliche Datenverarbeitung mbH, Bremerhaven, PANGAEA
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    In:  EPIC3FIELAX Gesellschaft für wissenschaftliche Datenverarbeitung mbH, Bremerhaven, PANGAEA
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    In:  EPIC3Kongsberg Maritime AS, Norway, Bremerhaven, PANGAEA, 206 p.
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    Publication Date: 2019-07-17
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    In:  EPIC3Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, Bremerhaven, PANGAEA, 3 p.
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    In:  EPIC3Alfred Wegener Institute for Polar and Marine Research, Bremerhaven., Bremerhaven, PANGAEA
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    In:  EPIC3Bremerhaven, PANGAEA
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    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2017-07-05
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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    Publication Date: 2019-07-17
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    Publication Date: 2019-07-17
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  • 70
    Publication Date: 2021-11-09
    Description: The shallow subsurface structure of the 2009 April 6 Mw 6.3 L’Aquila earthquake surface rupture at Paganica has been investigated with ground penetrating radar to study how the surface rupture relates spatially to previous surface displacements during the Holocene and Pleistocene. The discontinuous surface rupture stepped between en-echelon/parallel faults within the overall fault zone that show clear Holocene/Pleistocene offsets in the top 10 m of the subsurface. Some portions of the fault zone that show clear Holocene offsets were not ruptured in 2009, having been bypassed as the rupture stepped across a relay zone onto a fault across strike. The slip vectors, defined by opening directions across surface cracks, indicate dip-slip normal movement, whose azimuth remained constant between 210◦ and 228◦ across the zone where the rupture stepped between faults. We interpret maximum vertical offsets of the base of the Holocene summed across strike to be 4.5 m, which if averaged over 15 kyr, gives a maximum throw-rate of 0.23–0.30 mm yr–1, consistent with throw-rates implied by vertical offsets of a layer whose age we assume to be ∼33 ka. This compares with published values of 0.4 mm yr–1 for a minimum slip rate implied by offsets of Middle Pleistocene tephras, and 0.24 mm yr–1 since 24.8 kyr from palaeoseismology. The Paganica Fault, although clearly an important active structure, is not slipping fast enough to accommodate all of the 3–5 mm yr–1 of extension across this sector of the Apennines; other neighbouring range-bounding active normal faults also have a role to play in the seismic hazard.
    Description: Published
    Description: 774–790
    Description: 3.2. Tettonica attiva
    Description: JCR Journal
    Description: open
    Keywords: Ground penetration radar ; Aquila earthquake ; extension ; active tectonics ; 04. Solid Earth::04.06. Seismology::04.06.01. Earthquake faults: properties and evolution
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 71
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    In:  Supplement to: Walther, Kathleen; Sartoris, Franz-Josef; Pörtner, Hans-Otto (2011): Impacts of temperature and acidification on larval calcium incorporation of the spider crab Hyas araneus from different latitudes (54° vs. 79°N). Marine Biology, 158(9), 2043-2053, https://doi.org/10.1007/s00227-011-1711-x
    Publication Date: 2023-03-16
    Description: The combined effects of ocean warming and acidification were compared in larvae from two popula- tions of the cold-eurythermal spider crab Hyas araneus, from one of its southernmost populations (around Helgo- land, southern North Sea, 54°N, habitat temperature 3-18°C; collection: January 2008, hatch: January-February 2008) and from one of its northernmost populations (Svalbard, North Atlantic, 79°N, habitat temperature 0-6°C; collection: July 2008, hatch: February-April 2009). Larvae were exposed to temperatures of 3, 9 and 15°C combined with present-day normocapnic (380 ppm CO2) and projected future CO2 concentrations (710 and 3,000 ppm CO2). Calcium content of whole larvae was measured in freshly hatched Zoea I and after 3, 7 and 14 days during the Megalopa stage. Significant differences between Helgoland and Svalbard Megalopae were observed at all investigated temperatures and CO2 condi- tions. Under 380 ppm CO2, the calcium content increased with rising temperature and age of the larvae. At 3 and 9°C, Helgoland Megalopae accumulated more calcium than Svalbard Megalopae. Elevated CO2 levels, especially 3,000 ppm, caused a reduction in larval calcium contents at 3 and 9°C in both populations. This effect set in early, at 710 ppm CO2 only in Svalbard Megalopae at 9°C. Fur- thermore, at 3 and 9°C Megalopae from Helgoland replenished their calcium content to normocapnic levels and more rapidly than Svalbard Megalopae. However, Svalbard Megalopae displayed higher calcium contents under 3,000 ppm CO2 at 15°C. The findings of a lower capacity for calcium incorporation in crab larvae living at the cold end of their distribution range suggests that they might be more sensitive to ocean acidification than those in temperate regions.
    Keywords: Animalia; Arctic; Arthropoda; AWI_EcolChem; BIOACID; Biological Impacts of Ocean Acidification; Bottles or small containers/Aquaria (〈20 L); Calcification/Dissolution; Coast and continental shelf; Ecological Chemistry @ AWI; EPOCA; EUR-OCEANS; European network of excellence for Ocean Ecosystems Analysis; European Project on Ocean Acidification; Hyas araneus; Laboratory experiment; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Pelagos; Polar; Single species; Temperate; Temperature; Zooplankton
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  • 72
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    In:  Supplement to: Kravchishina, Marina D; Lisitzin, Alexander P (2011): Grain-size composition of the suspended particulate matter in the marginal filter of the Severnaya Dvina River. Translated from Okeanologiya, 2011, 51(1), 94-109, Oceanology, 51(1), 89-104, https://doi.org/10.1134/S0001437011010097
    Publication Date: 2023-03-16
    Description: Quantitative distribution and grain size composition of suspended particulate matter (SPM) in the marginal filter of the North (Severnaya) Dvina River during summer low water periods of 2001-2005 were analyzed in water on board immediately after sampling (without preliminary treatment) using a Coulter counter. This analysis revealed main regularities in transformation of grain size spectra at successive salinity steps of the marginal filter, as well as boundaries between these steps based on data obtained by direct complex studies of SPM dispersion. It is established that water salinity is the main factor that controls changes in grain size distribution and composition of suspended matter in the marginal filter. Concentrations of 〈0.01 mm size fraction and salinity demonstrate negative correlations between each other. It is shown that areas characterized by mass development of phytoplankton are located along the outer boundary of the marginal filter (at the biological step), where salinity reaches 23-24 psu. Contents of particulate forms of some chemical (lithogenic) elements and organic carbon indicating genetic composition of SPM and their relations with grain size composition of SPM are studied.
    Keywords: Archive of Ocean Data; ARCOD; Bottle, Niskin; Bucket, plastic; IPE-57-1; IPE-57-13; IPE-57-15; IPE-57-17; IPE-57-19; IPE-57-2; IPE-57-22; IPE-57-26; IPE-57-5; IPE-57-9; KL-11rk; KL-14rk; KL-2rk; KL-5rk; KL-7rk; KL-9rk; KL-MF-1; KL-MF-12; KL-MF-13; KL-MF-14; KL-MF-15; KL-MF-16; KL-MF-17; KL-MF-18; KL-MF-19; KL-MF-20; KL-P-2; NIS; North Dvina mouth area; Professor Shtokman; PSh-4921; PSh-6401; PSh71; PSh-7109; PSh-7111; PSh-7112; PSh-7115; PSh-7116; PSh-7120; WB; White Sea
    Type: Dataset
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  • 73
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    In:  Supplement to: Goroslavskaya, E I; Galkin, Sergey V (2011): Benthic fauna associated with mussel beds and shrimp swarms at hydrothermal fields on the Mid-Atlantic Ridge. Translated from Okeanologiya, 2011, 51(1), 74-84, Oceanology, 51(1), 69-79, https://doi.org/10.1134/S0001437011010048
    Publication Date: 2023-03-16
    Description: Macrofaunal assemblages with prevalence of Bresiliidae shrimps and Mytilidae mussels are abundant in at hydrothermal vents along the Mid-Atlantic Ridge. Mussels inhabit zones of diffuse seeps of hydrothermal fluids with temperature abnormalities up to several degrees. Shrimps inhabit an extreme biotope in a mixed interface between seawater and hydrothermal fluids at temperature up to 20-30°C. We studied the mussel and shrimp assemblages in three hydrothermal vent fields: Rainbow, Broken Spur, and Snake Pit. Species richness of the mussel assemblages within at least two fields (Broken Spur and Snake Pit) is higher as compared with shrimps from the same hydrothermal vent fields. Fauna inhibiting shrimp swarms lack almost any taxa specific for particular assemblages: almost all the taxa are also present in the mussel beds. Structure of the shrimp assemblage is less homogeneous as compared with that of the mussel assemblage. Population prevalence of one taxon (Copepoda) in the shrimp assemblage is most likely connected with extreme and unstable conditions of the biotope occupied by the shrimps in a hydrothermal field. Taxonomic similarity between the mussel and shrimp assemblages within one hydrothermal vent field is higher as compared with similarity between the mussel (or shrimp) assemblages from different fields.
    Keywords: Akademik Mstislav Keldysh; AMK47; AMK47-4327-1; AMK47-4330-1; AMK47-4330-2; AMK47-4332-2; AMK47-4349-1; AMK47-4358-1; AMK47-4392-2; AMK47-4393-1; AMK47-4393-2; AMK47-4393-3; AMK47-4399-1; AMK47-4402-1; AMK47-4749-2; AMK49; AMK49-4611-1; AMK49-4611-2; AMK49-4611-3; AMK49-4611-4; AMK49-4611-5; AMK50; AMK50-4793-1; AMK50-4797-1; AMK50-4797-4; AMK50-4797-5; AMK50-4797-6; AMK50-4812-1; AMK50-4812-4; AMK50-4819-10; AMK50-4819-12; AMK50-4819-17; AMK50-4819-8; Archive of Ocean Data; ARCOD; Broken Spur Hydrothermal Field; Broken Srur Hydrothermal Field; Broken Srur Hydrothermal Field, K point mound; MIR; MIR deep-sea manned submersible; Rainbow Hydrothermal Field; Snake Pit Hydrothermal Field; Snake Pit Hydrothermal Field, Beehive mound
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  • 74
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    In:  Supplement to: Nemirovskaya, Inna A; Chemyavskii, N G (2011): Studies of hydrocarbons in the waters and snow-ice cover of the southeast sector of the Antarctic. Translated from Okeanologiya, 2011, 51(1), 5-15, Oceanology, 51(1), 4-14, https://doi.org/10.1134/S0001437011010139
    Publication Date: 2023-03-16
    Description: Data are presented on concentration of hydrocarbons (HC) relative to concentrations of suspended matter, lipids, organic carbon, and chlorophyll a in surface waters and snow-ice cover of the East Antarctic coastal areas. It was shown that growth of concentrations of aliphatic HC (AHC) to 30 µg/l in surface waters takes place in frontal zones and under young ice formation. AHC concentration in snow increases with growth of aerosol concentration in the atmosphere. In the lower part of ice, at the boundary with seawater, despite low temperatures, autochthonous processes may provide high AHC concentrations (up to 289 µg/l). Within the snow-ice cover on fast ice, concentration co-variations of all the compounds considered take place.
    Keywords: AF2008-NLS; Akademik Mstislav Keldysh; AMK50; Archive of Ocean Data; ARCOD; DruzhnSt-2008; MirnySt-2008; Mirny Station; MULT; Multiple investigations; ProgrSt-2008; Prydz Bay, Collaboration Sea; Southern Ocean - Atlantic Sector
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  • 75
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    In:  Institute of Biology of the Southern Seas, National Academy of Sciences of Ukraine, Sevastopol
    Publication Date: 2023-03-14
    Keywords: Akademik Vernadsky; AV3; AV3_175-1; AV3_176-1; AV3_177-1; AV3_178-1; AV3_179-1; AV3_180-1; AV3_181-1; AV3_182-1; AV3_183-1; AV3_184-1; AV3_185-1; AV3_186-1; AV3_187-1; AV3_189-1; AV3_190-1; AV3_191-1; AV3_192-1; AV3_193-1; AV3_194-1; AV3_195-1; AV3_196-1; AV3_197-1; AV3_199-1; AV3_200-1; AV3_201-1; AV3_202-1; AV3_203-1; AV3_205-1; AV3_206-1; AV3_207-1; AV3_209-1; AV3_210-1; AV3_211-1; AV3_212-1; AV3_214-1; AV3_215-1; AV3_216-1; AV3_217-1; AV3_219-1; AV3_221-1; AV3_222-1; AV3_223-1; AV3_224-1; AV3_225-1; AV3_226-1; AV3_227-1; AV3_228-1; AV3_229-1; AV3_230-1; Canarias Sea; Caribbean Sea; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Determination of phosphate (Denigès & Atkins); Elevation of event; Event label; Latitude of event; Longitude of event; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; Phosphate; Reversing thermometer; Salinity; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 4042 data points
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  • 76
    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
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  • 77
    Publication Date: 2023-03-14
    Keywords: Alkalinity, Gran titration (Gran, 1950); Alkalinity, total; Aragonite saturation state; Bicarbonate ion; Calcite saturation state; Calculated using CO2SYS; Carbon, inorganic, dissolved; EPOCA; European Project on Ocean Acidification; Experimental treatment; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; Salinity; Temperature, water; WTW 340i pH-analyzer and WTW SenTix 81-electrode
    Type: Dataset
    Format: text/tab-separated-values, 740 data points
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  • 78
    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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  • 79
    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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  • 80
    Publication Date: 2023-03-14
    Keywords: CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Latitude of event; Longitude of event; North Sea; Oxygen; pH; Pressure, water; Salinity; Temperature, water; Thalassa; Thalassa11/1; Thalassa11/1_001; Thalassa11/1_002; Thalassa11/1_004; Thalassa11/1_005; Thalassa11/1_006; Thalassa11/1_007; Thalassa11/1_008; Thalassa11/1_009; Thalassa11/1_010; Thalassa11/1_011; Thalassa11/1_012; Thalassa11/1_013; Thalassa11/1_014; Thalassa11/1_015; Thalassa11/1_016; Thalassa11/1_017; Thalassa11/1_018; Thalassa11/1_019; Thalassa11/1_020; Thalassa11/1_021; Thalassa11/1_022; Thalassa11/1_023; Thalassa11/1_024; Thalassa11/1_025; Thalassa11/1_026; Thalassa11/1_027; Thalassa11/1_028; Thalassa11/1_029; Thalassa11/1_030; Thalassa11/1_031; Thalassa11/1_032; Thalassa11/1_034; Thalassa11/1_035; Thalassa11/1_036; Thalassa11/1_037; Thalassa11/1_038; Thalassa11/1_039; Thalassa11/1_040; Thalassa11/1_041; Thalassa11/1_042; Thalassa11/1_043; Thalassa11/1_044; Thalassa11/1_045; Thalassa11/1_046; Thalassa11/1_047; Thalassa11/1_048; Thalassa11/1_049; Thalassa11/1_050; Thalassa11/1_051; Thalassa11/1_052; Thalassa11/1_053; Thalassa11/1_054; Thalassa11/1_055; Thalassa11/1_056; Thalassa11/1_057; Thalassa11/1_058; Thalassa11/1_059; Thalassa11/1_060; Thalassa11/1_061; Thalassa11/1_062; Thalassa11/1_063; Thalassa11/1_064; Thalassa11/1_065; Thalassa11/1_066; Thalassa11/1_067; Thalassa11/1_068; Thalassa11/1_069; Thalassa11/1_070; Thalassa11/1_071; Thalassa11/1_072; Thalassa11/1_073; Thalassa11/1_074; Thalassa11/1_075; Thalassa11/1_076; Thalassa11/1_077; Thalassa11/1_078; Thalassa11/1_079; Thalassa11/1_080; Thalassa11/1_081; Thalassa11/1_082; Thalassa11/1_083; Thalassa11/1_084; Thalassa11/1_085; Thalassa11/1_086; Thalassa11/1_087; Thalassa11/1_088; Thalassa11/1_089; Thalassa11/1_090; Thalassa11/1_091; Thalassa11/1_092; Thalassa11/1_093; Thalassa11/1_094; Thalassa11/1_095; Thalassa11/1_096; Thalassa11/1_097; Thalassa11/1_098; Thalassa11/1_099; Thalassa11/1_100; Thalassa11/1_101; Thalassa11/1_102; Thalassa11/1_103; Thalassa11/1_104; Thalassa11/1_105; Thalassa11/1_106; Thalassa11/1_107; Thalassa11/1_108; Thalassa11/1_109; Thalassa11/1_110; Thalassa11/1_111; Thalassa11/1_112; Thalassa11/1_113; Thalassa11/1_114; Thalassa11/1_115; Thalassa11/1_116; Thalassa11/1_117; Thalassa11/1_118; Thalassa11/1_119; Thalassa11/1_120; Thalassa11/1_121; Thalassa11/1_122; Thalassa11/1_123; Thalassa11/1_124; Thalassa11/1_125; Thalassa11/1_126; Thalassa11/1_127; Thalassa11/1_128; Thalassa11/1_129; Thalassa11/1_130; Thalassa11/1_131; Thalassa11/1_132; Thalassa11/1_133; Thalassa11/1_134; Thalassa11/1_135; Thalassa11/1_136; Thalassa11/1_137; Thalassa11/1_138; Thalassa11/1_139; Thalassa11/1_140; Thalassa11/1_141; Thalassa11/1_143; Thalassa11/1_144; Thalassa11/1_145; Thalassa11/1_146; Thalassa11/1_147; Thalassa11/1_148; Thalassa11/1_149; Thalassa11/1_150; Thalassa11/1_151; Thalassa11/1_152; Thalassa11/1_153; Thalassa11/1_154; Thalassa11/1_155; Thalassa11/1_159; Thalassa11/1_160; Thalassa11/1_161; Thalassa11/1_162; Thalassa11/1_163; Thalassa11/1_164; Thalassa11/1_165; Thalassa11/1_166; Thalassa11/1_167; Thalassa11/1_168; Thalassa11/1_169; Thalassa11/1_170; Thalassa11/1_171; Thalassa11/1_172; Thalassa11/1_173; Thalassa11/1_175; Thalassa11/1_176; Thalassa11/1_177; Thalassa11/1_178; Thalassa11/1_179; Thalassa11/1_180; Thalassa11/1_181; Thalassa11/1_182; Thalassa11/1_183; Thalassa11/1_184; Thalassa11/1_185; Thalassa11/1_186; Thalassa11/1_187; Thalassa11/1_188; Thalassa11/1_189; Thalassa11/1_190; Thalassa11/1_191; Thalassa11/1_192; Thalassa11/1_193; Thalassa11/1_194; Thalassa11/1_195; Thalassa11/1_196; Thalassa11/1_197; Thalassa11/1_198; Thalassa11/1_199; Thalassa11/1_200; Thalassa11/1_201; Thalassa11/1_202; Thalassa11/1_203; Thalassa11/1_204; Thalassa11/1_205; Thalassa11/1_206; Thalassa11/1_207; Thalassa11/1_208; Thalassa11/1_209; Thalassa11/1_210; Thalassa11/1_211; Thalassa11/1_212
    Type: Dataset
    Format: text/tab-separated-values, 29818 data points
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  • 81
    Publication Date: 2023-03-13
    Keywords: Age, dated; Age, dated standard deviation; Age, maximum/old; Age, minimum/young; Ageprofile Datum Description; CIROS; CIROS-2; Comment; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DRILL; Drilling/drill rig; Error, absolute; McMurdo Sound; Sampling/drilling ice
    Type: Dataset
    Format: text/tab-separated-values, 184 data points
    Location Call Number Expected Availability
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  • 82
    Publication Date: 2023-03-13
    Keywords: CO2BaseSleipner; 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; Pressure, water; Salinity; Scotia; Scotia11/2; Scotia11/2_19; Scotia11/2_20; Scotia11/2_21; Scotia11/2_22; Scotia11/2_23; Scotia11/2_24; Scotia11/2_25; Scotia11/2_26; Scotia11/2_27; Scotia11/2_28; Scotia11/2_29; Scotia11/2_30; Scotia11/2_31; Scotia11/2_32; Scotia11/2_33; Scotia11/2_34; Scotia11/2_35; Scotia11/2_36; Scotia11/2_37; Scotia11/2_38; Scotia11/2_39; Scotia11/2_40; Scotia11/2_41; Scotia11/2_42; Scotia11/2_43; Scotia11/2_44; Scotia11/2_45; Scotia11/2_46; Scotia11/2_47; Scotia11/2_48; Scotia11/2_49; Scotia11/2_50; Scotia11/2_51; Scotia11/2_52; Scotia11/2_53; Scotia11/2_54; Scotia11/2_55; Scotia11/2_56; Scotia11/2_57; Scotia11/2_58; Scotia11/2_59; Scotia11/2_60; Scotia11/2_61; Scotia11/2_62; Scotia11/2_63; Scotia11/2_64; Scotia11/2_65; Scotia11/2_66; Scotia11/2_67; Scotia11/2_68; Scotia11/2_69; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 2859 data points
    Location Call Number Expected Availability
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  • 83
    Publication Date: 2023-03-13
    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; Pressure, water; Salinity; Temperature, water; Tridens; Tridens11/1; Tridens11/1_01; Tridens11/1_02; Tridens11/1_03; Tridens11/1_04; Tridens11/1_05; Tridens11/1_06; Tridens11/1_07; Tridens11/1_08; Tridens11/1_09; Tridens11/1_10; Tridens11/1_11; Tridens11/1_12; Tridens11/1_13; Tridens11/1_14; Tridens11/1_15; Tridens11/1_16; Tridens11/1_17; Tridens11/1_18; Tridens11/1_19; Tridens11/1_20; Tridens11/1_21; Tridens11/1_22; Tridens11/1_23; Tridens11/1_24; Tridens11/1_26; Tridens11/1_27; Tridens11/1_28; Tridens11/1_29; Tridens11/1_30; Tridens11/1_31; Tridens11/1_32; Tridens11/1_33; Tridens11/1_34; Tridens11/1_35; Tridens11/1_36; Tridens11/1_37; Tridens11/1_38; Tridens11/1_39; Tridens11/1_40; Tridens11/1_41; Tridens11/1_42; Tridens11/1_43; Tridens11/1_44; Tridens11/1_45; Tridens11/1_46; Tridens11/1_47; Tridens11/1_48; Tridens11/1_49; Tridens11/1_50; Tridens11/1_51; Tridens11/1_52; Tridens11/1_53; Tridens11/1_55; Tridens11/1_56; Tridens11/1_57; Tridens11/1_58; Tridens11/1_59; Tridens11/1_60; Tridens11/1_61; Tridens11/1_62; Tridens11/1_63; Tridens11/1_64; Tridens11/1_65; Tridens11/1_66; Tridens11/1_67; Tridens11/1_68; Tridens11/1_69; Tridens11/1_70; Tridens11/1_71
    Type: Dataset
    Format: text/tab-separated-values, 7739 data points
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  • 84
    Publication Date: 2023-03-13
    Keywords: CO2BaseSleipner; 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; Norwegian Sea; Oxygen; Pressure, water; Salinity; Temperature, water; Walther Herwig III; WH341; WH341_083; WH341_084; WH341_085; WH341_086; WH341_095; WH341_096; WH341_097; WH341_098; WH341_105; WH341_106; WH341_107; WH341_116; WH341_117; WH341_118; WH341_119; WH341_120; WH341_121; WH341_132; WH341_133; WH341_134; WH341_143; WH341_144; WH341_145; WH341_154; WH341_155; WH341_156; WH341_165; WH341_166; WH341_167; WH341_176; WH341_177; WH341_178; WH341_185; WH341_186; WH341_187; WH341_188; WH341_199; WH341_200; WH341_201; WH341_202; WH341_212; WH341_213; WH341_214; WH341_216; WH341_217; WH341_218; WH341_227; WH341_228; WH341_229; WH341_234; WH341_235; WH341_242; WH341_243; WH341_248; WH341_249; WH341_250; WH341_251; WH341_252; WH341_253; WH341_254; WH341_263; WH341_264; WH341_265; WH341_276; WH341_277; WH341_278; WH341_279
    Type: Dataset
    Format: text/tab-separated-values, 25959 data points
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  • 85
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Porzio, Lucia; Buia, Maria-Cristina; Hall-Spencer, Jason M (2011): Effects of ocean acidification on macroalgal communities. Journal of Experimental Marine Biology and Ecology, 400(1-2), 278-287, https://doi.org/10.1016/j.jembe.2011.02.011
    Publication Date: 2023-03-14
    Description: There are high levels of uncertainty about how coastal ecosystems will be affected by rapid ocean acidification caused by anthropogenic CO2, due to a lack of data. The few experiments to date have been short-term (〈 1 year) and reveal mixed responses depending on the species examined and the culture conditions used. It is difficult to carry out long-term manipulations of CO2 levels, therefore areas with naturally high CO2 levels are being used to help understand which species, habitats and processes are resilient to the effects of ocean acidification, and which are adversely affected. Here we describe the effects of increasing CO2 levels on macroalgal communities along a pH gradient caused by volcanic vents. Macroalgal habitat differed at taxonomic and morphological group levels along a pH gradient. The vast majority of the 101 macroalgal species studied were able to grow with only a 5% decrease in species richness as the mean pH fell from 8.1 to 7.8. However, this small fall in species richness was associated with shifts in community structure as the cover of turf algae decreased disproportionately. Calcitic species were significantly reduced in cover and species richness whereas a few non-calcified species became dominant. At mean pH 6.7, where carbonate saturation levels were 〈 1, calcareous species were absent and there was a 72% fall in species richness. Under these extremely high CO2 conditions a few species dominated the simplified macroalgal assemblage and a very few exhibited enhanced reproduction, although high CO2 levels seemed to inhibit reproduction in others. Our data show that many macroalgal species are tolerant of long-term elevations in CO2 levels but that macroalgal habitats are altered significantly as pH drops, contributing to a scant but growing body of evidence concerning the long-term effects of CO2 emissions in vegetated marine systems. Further study is now needed to investigate whether the observed response of macroalgal communities can be replicated in different seasons and from a range of geographical regions for incorporation into global modelling studies to predict effects of CO2 emissions on Earth's ecosystems.
    Keywords: Coverage; EPOCA; European Project on Ocean Acidification; LATITUDE; LONGITUDE; pH; Site; Species
    Type: Dataset
    Format: text/tab-separated-values, 1224 data points
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  • 86
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Trotter, Julie; Montagna, Paolo; McCulloch, Malcolm T; Silenzi, Sergio; Reynaud, Stéphanie; Mortimer, Graham; Martin, Sophie; Ferrier-Pagès, Christine; Gattuso, Jean-Pierre; Rodolfo-Metalpa, Riccardo (2011): Quantifying the pH 'vital effect' in the temperate zooxanthellate coral Cladocora caespitosa: Validation of the boron seawater pH proxy. Earth and Planetary Science Letters, 303, 163-173, https://doi.org/10.1016/j.epsl.2011.01.030
    Publication Date: 2023-03-14
    Description: Boron isotopic and elemental systematics are used to define the vital effects for the temperate shallow water Mediterranean coral Cladocora caespitosa. The corals are from a range of seawater pH conditions (pHT ~ 7.6 to ~ 8.1) and environmental settings: (1) naturally living colonies harvested from normal pH waters offshore Levanto, (2) colonies transplanted nearby a subsea volcanic vent system, and (3) corals cultured in aquaria exposed to high (700 µatm) and near present day (400 µatm) pCO2 levels. B/Ca compositions measured using laser ablation inductively coupled mass spectrometry (LA-ICPMS) show that boron uptake by C. caespitosa cultured at different pCO2 levels is independent of ambient seawater pH being mainly controlled by temperature-dependent calcification. In contrast, the boron isotope compositions (delta11Bcarb) of the full suite of corals determined by positive thermal ionisation mass spectrometry (PTIMS) shows a clear trend of decreasing delta11Bcarb (from 26.7 to 22.2 %o) with decreasing seawater pH, reflecting the strong pH dependence of the boron isotope system. The delta11Bcarb compositions together with measurements of ambient seawater parameters enable calibration of the boron pH proxy for C. caespitosa, by using a new approach that defines the relationship between ambient seawater pH (pHsw) and the internally controlled pH at the site of calcification (pHbiol). C. caespitosa exhibits a linear relationship between pHsw and the shift in pH due to physiological processes (deltapH = pHbiol - pHsw) giving the regression deltapHClad = 4.80 - 0.52* pHsw for this species. We further apply this method ("deltapH-pHsw") to calibrate tropical species of Porites, Acropora, and Stylophora reported in the literature. The temperate and tropical species calibrations are all linearly correlated (r2 〉 0.9) and the biological fractionation component (deltapH) between species varies within ~ 0.2 pH units. Our "deltapH-pHsw" approach provides a robust and accurate tool to reconstruct palaeoseawater pHsw for both temperate and tropical corals, further validating the boron fractionation factor (alphaB3-B4 = 1.0272) determined experimentally by Klochko et al. (2006) and the boron isotope pH proxy, both of which have been the foci of considerable debate.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Aragonite saturation state, standard deviation; Bicarbonate ion; Bicarbonate ion, standard deviation; Boron/Calcium ratio; Boron hydroxide/Bicarbonate ratio; Calculated, see reference(s); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbon dioxide; Carbon dioxide, partial pressure, standard deviation; Carbon dioxide, standard deviation; DATE/TIME; DISTANCE; EPOCA; European Project on Ocean Acidification; Experimental treatment; Measured; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; pH meter (Metrohm, 826 pH mobile); Salinity; see reference(s); Site; Species; Temperature, standard deviation; Temperature, water; Titration potentiometric; δ11B
    Type: Dataset
    Format: text/tab-separated-values, 29568 data points
    Location Call Number Expected Availability
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  • 87
    Publication Date: 2023-03-14
    Keywords: Baltic Sea; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; Oxygen; pH; Pressure, water; Salinity; Temperature, water; Walther Herwig II; WH078; WH078_001; WH078_002; WH078_003; WH078_004; WH078_005; WH078_006; WH078_007; WH078_008; WH078_009; WH078_010; WH078_011; WH078_012; WH078_013; WH078_014; WH078_015; WH078_016; WH078_017; WH078_018; WH078_019; WH078_020; WH078_021; WH078_022; WH078_023; WH078_024; WH078_025; WH078_026; WH078_027; WH078_028; WH078_029; WH078_030; WH078_031; WH078_032; WH078_033; WH078_034; WH078_035; WH078_036; WH078_037; WH078_038; WH078_039; WH078_040; WH078_041; WH078_042; WH078_043; WH078_044; WH078_045; WH078_046; WH078_047; WH078_048; WH078_049; WH078_050; WH078_051; WH078_052; WH078_053; WH078_054; WH078_055; WH078_056; WH078_057; WH078_058; WH078_059; WH078_060
    Type: Dataset
    Format: text/tab-separated-values, 838 data points
    Location Call Number Expected Availability
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  • 88
    Publication Date: 2023-03-14
    Keywords: CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; North Sea; Oxygen; pH; Pressure, water; Salinity; Temperature, water; Walther Herwig II; WH083; WH083_229; WH083_230; WH083_231; WH083_232; WH083_233; WH083_234; WH083_235; WH083_236; WH083_237; WH083_238; WH083_239; WH083_240; WH083_241; WH083_242; WH083_243; WH083_244; WH083_245; WH083_246; WH083_247; WH083_248; WH083_249; WH083_250; WH083_251; WH083_252; WH083_253; WH083_254; WH083_255; WH083_256; WH083_257; WH083_258; WH083_259; WH083_260; WH083_261; WH083_262; WH083_263; WH083_264; WH083_265; WH083_266; WH083_267; WH083_268; WH083_269; WH083_270; WH083_271; WH083_272; WH083_273; WH083_274; WH083_275; WH083_276; WH083_277; WH083_278; WH083_279; WH083_280; WH083_281; WH083_282; WH083_283; WH083_284; WH083_285; WH083_286; WH083_287; WH083_288; WH083_289; WH083_290; WH083_291; WH083_292; WH083_293; WH083_294; WH083_295; WH083_296; WH083_297; WH083_298; WH083_299; WH083_300
    Type: Dataset
    Format: text/tab-separated-values, 704 data points
    Location Call Number Expected Availability
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  • 89
    Publication Date: 2023-03-14
    Keywords: CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; North Sea; Oxygen; pH; Pressure, water; Salinity; Temperature, water; Walther Herwig II; WH087; WH087_001; WH087_002; WH087_003; WH087_004; WH087_005; WH087_006; WH087_007; WH087_008; WH087_009; WH087_010; WH087_011; WH087_012; WH087_013; WH087_014; WH087_015; WH087_016; WH087_017; WH087_018; WH087_019; WH087_020; WH087_021; WH087_022; WH087_023; WH087_024; WH087_025; WH087_026; WH087_027; WH087_028; WH087_029; WH087_030; WH087_031; WH087_032; WH087_033; WH087_034; WH087_035; WH087_036; WH087_037; WH087_038; WH087_039; WH087_040; WH087_041; WH087_042; WH087_043; WH087_044; WH087_045; WH087_046; WH087_047; WH087_048; WH087_049; WH087_050; WH087_051; WH087_052; WH087_053; WH087_054; WH087_055; WH132
    Type: Dataset
    Format: text/tab-separated-values, 549 data points
    Location Call Number Expected Availability
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  • 90
    Publication Date: 2023-03-14
    Keywords: CO2BaseSleipner; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; North Sea; Oxygen; pH; Pressure, water; Temperature, water; Walther Herwig II; WH094; WH094_001; WH094_002; WH094_003; WH094_004; WH094_005; WH094_006; WH094_007; WH094_008; WH094_009; WH094_010; WH094_011; WH094_012; WH094_013; WH094_014; WH094_015; WH094_016; WH094_017; WH094_018; WH094_019; WH094_020; WH094_021
    Type: Dataset
    Format: text/tab-separated-values, 166 data points
    Location Call Number Expected Availability
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  • 91
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    Unknown
    PANGAEA
    In:  Institute of Biology of the Southern Seas, National Academy of Sciences of Ukraine, Sevastopol
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Bottle, Niskin; Date/Time of event; DEPTH, water; Determination of nitrite (Morris & Riley); Determination of phosphate (Denigès & Atkins); Elevation of event; Event label; Latitude of event; Longitude of event; Mikhail Lomonosov; ML15; ML15_1230-1; ML15_1231-1; ML15_1232-1; ML15_1232-2; ML15_1232a-1; ML15_1233-1; ML15_1233-2; ML15_1233a-1; ML15_1234-1; ML15_1235-1; ML15_1236-1; ML15_1237-1; ML15_1238-1; ML15_1239-1; ML15_1240-1; ML15_1241-1; ML15_1241-2; ML15_1242-1; ML15_1243-1; ML15_1244-1; ML15_1245-1; ML15_1245-10; ML15_1245-2; ML15_1245-3; ML15_1245-4; ML15_1245-5; ML15_1245-6; ML15_1245-7; ML15_1245-8; ML15_1245-9; ML15_1246-1; ML15_1247-1; ML15_1248-1; ML15_1249-1; ML15_1250-1; ML15_1251-1; ML15_1252-1; ML15_1253-1; ML15_1254-1; ML15_1255-1; ML15_1256-1; ML15_1257-1; ML15_1258-1; ML15_1259-1; ML15_1260-1; ML15_1261-1; ML15_1262-1; ML15_1263-1; ML15_1264-1; ML15_1265-1; ML15_1266-1; ML15_1267-1; ML15_1268-1; ML15_1269-1; ML15_1270-1; ML15_1271-1; ML15_1272-1; ML15_1273-1; ML15_1274-1; ML15_1275-1; ML15_1276-1; ML15_1277-1; ML15_1278-1; ML15_1279-1; ML15_1280-1; ML15_1282-1; ML15_1283-1; ML15_1284-1; ML15_1285-1; ML15_1286-1; ML15_1287-1; ML15_1288-1; NIS; Nitrite; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; Phosphate; Reversing thermometer; Salinity; Silicate; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 8381 data points
    Location Call Number Expected Availability
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  • 92
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    Unknown
    PANGAEA
    In:  Institute of Biology of the Southern Seas, National Academy of Sciences of Ukraine, Sevastopol
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Alkalinity, volumetric (Bruevich, 1944, in Glavsevmorput, Instruction of chem.); Arabian Sea; CTD, ISTOK-3; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Gulf of Aden; Gulf of Oman; Lakshadweep Sea; Latitude of event; Longitude of event; Mikhail Lomonosov; ML19; ML19_1481-1; ML19_1482-1; ML19_1483-1; ML19_1484-1; ML19_1485-1; ML19_1486-1; ML19_1487-1; ML19_1488-1; ML19_1489-1; ML19_1490-1; ML19_1491-1; ML19_1492-1; ML19_1493-1; ML19_1494-1; ML19_1495-1; ML19_1496-1; ML19_1497-1; ML19_1498-1; ML19_1499-1; ML19_1500-1; ML19_1501-1; ML19_1502-1; ML19_1503-1; ML19_1504-1; ML19_1505-1; ML19_1506-1; ML19_1507-1; ML19_1508-1; ML19_1509-1; ML19_1510-1; ML19_1511-1; ML19_1512-1; ML19_1513-1; ML19_1514-1; ML19_1515-1; ML19_1516-1; ML19_1517-1; ML19_1518-1; ML19_1519-1; ML19_1520-1; ML19_1521-1; ML19_1522-1; ML19_1523-1; ML19_1524-1; ML19_1525-1; ML19_1526-1; ML19_1527-1; ML19_1528-1; ML19_1530-1; ML19_1531-1; ML19_1532-1; ML19_1533-1; ML19_1534-1; ML19_1535-1; ML19_1536-1; ML19_1537-1; ML19_1538-1; ML19_1539-1; ML19_1540-1; ML19_1541-1; ML19_1542-1; ML19_1543-1; ML19_1544-1; ML19_1545-1; ML19_1546-1; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; Salinity; Temperature, water; Visual comparison with the Serensen scale
    Type: Dataset
    Format: text/tab-separated-values, 3720 data points
    Location Call Number Expected Availability
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  • 93
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    Unknown
    PANGAEA
    In:  Institute of Biology of the Southern Seas, National Academy of Sciences of Ukraine, Sevastopol
    Publication Date: 2023-03-14
    Keywords: Bottle, Niskin; Canarias Sea; Date/Time of event; DEPTH, water; Determination of phosphate (Denigès & Atkins); Elevation of event; Event label; Latitude of event; Longitude of event; Mikhail Lomonosov; ML24; ML24_1855-1; ML24_1857-1; ML24_1859-1; ML24_1861-1; ML24_1863-1; ML24_1868-1; ML24_1870-1; ML24_1872-1; ML24_1874-1; ML24_1878-1; ML24_1879-1; ML24_1881-1; ML24_1884-1; ML24_1886-1; ML24_1887-1; ML24_1889-1; ML24_1893-1; ML24_1895-1; ML24_1896-1; ML24_1897-1; ML24_1897-2; ML24_1898-1; NIS; 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, 1437 data points
    Location Call Number Expected Availability
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  • 94
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    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; CTD with attached oxygen sensor; Date/Time of event; DEPTH, water; Event label; Hydrogen sulfide; Latitude of event; Longitude of event; Nitrate; Nitrate and Nitrite; Nitrite; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); Oxygen saturation; pH; Phosphate; PK31; PK31_5644; PK31_5645; PK31_5646; PK31_5647; PK31_5648-4; PK31_5649; PK31_5650; PK31_5651; PK31_5653; PK31_5654; PK31_5655; PK31_5656; PK31_5656-2; PK31_5657; PK31_5658; PK31_5659; PK31_5660; PK31_5661; PK31_5662; PK31_5663; PK31_5664; PK31_5664-2; PK31_5665; PK31_5665-2; PK31_5666; PK31_5667; PK31_5668; PK31_5669; PK31_5670; PK31_5670-3; PK31_5671; PK31_5672; PK31_5673; PK31_5674; PK31_5795; PK31_5796; PK31_5797; PK31_5798; PK31_5799; PK31_5800; PK31_5801; PK31_5802; PK31_5803; PK31_5804; PK31_5805; PK31_5806; PK31_5807; PK31_5808; PK31_5809; PK31_5810; PK31_5811; PK31_5813; Professor Kolesnikov; Salinity; Silicate; Temperature, water; Titration
    Type: Dataset
    Format: text/tab-separated-values, 21373 data points
    Location Call Number Expected Availability
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  • 95
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    Unknown
    PANGAEA
    In:  Marine Hydrophysical Institute, National Academy of Sciences of Ukraine
    Publication Date: 2023-03-14
    Keywords: Black Sea; CTD, ISTOK-5; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; Hydrogen sulfide; Latitude of event; Longitude of event; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; Phosphate; PK29; PK29_5287-3; PK29_5288-3; PK29_5289-3; PK29_5290-3; PK29_5291-3; PK29_5292-3; PK29_5293-3; PK29_5294-3; PK29_5295-3; PK29_5296-3; PK29_5297-3; PK29_5298-3; PK29_5299-3; PK29_5300-3; PK29_5301-3; PK29_5302-3; PK29_5303-3; PK29_5304-3; PK29_5305-3; PK29_5306-3; PK29_5307-3; PK29_5308-3; PK29_5309-3; PK29_5311-3; PK29_5312-3; PK29_5313-3; PK29_5315-3; PK29_5316-3; PK29_5317-3; PK29_5319-3; PK29_5320-3; PK29_5322-3; PK29_5323-3; PK29_5324-3; PK29_5325-3; PK29_5326-3; PK29_5327-3; PK29_5328-3; PK29_5329-3; PK29_5330-3; PK29_5331-3; PK29_5332-3; PK29_5333-3; PK29_5334-3; PK29_5335-3; PK29_5336-3; PK29_5337-3; PK29_5338-3; PK29_5339-3; PK29_5340-3; PK29_5341-3; PK29_5342-3; PK29_5343-3; PK29_5344-3; PK29_5345-3; PK29_5346-3; PK29_5347-3; PK29_5348-3; PK29_5349-3; PK29_5350-3; PK29_5351-3; PK29_5352-3; PK29_5353-3; PK29_5354-3; PK29_5355-3; PK29_5356-3; PK29_5357-3; PK29_5358-3; PK29_5359-3; PK29_5360-3; PK29_5361-3; PK29_5362-3; PK29_5363-3; PK29_5364-3; PK29_5365-3; PK29_5366-3; PK29_5367-3; PK29_5368-3; PK29_5369-3; PK29_5370-3; PK29_5371-3; PK29_5372-3; PK29_5373-3; PK29_5374-3; PK29_5375-3; PK29_5376-3; PK29_5377-3; PK29_5378-3; PK29_5379-3; PK29_5380-3; PK29_5381-3; PK29_5382-3; PK29_5383-3; PK29_5384-3; PK29_5385-3; PK29_5386-3; PK29_5387-3; PK29_5388-3; PK29_5389-3; PK29_5390-3; PK29_5391-3; PK29_5392-3; PK29_5393-3; PK29_5394-3; PK29_5395-3; PK29_5396-3; PK29_5397-3; PK29_5398-3; PK29_5399-3; PK29_5400-3; PK29_5401-3; PK29_5402-3; PK29_5403-3; PK29_5404-3; PK29_5405-3; PK29_5406-3; PK29_5407-3; PK29_5408-3; PK29_5409-3; PK29_5410-3; PK29_5411-3; PK29_5412-3; PK29_5413-3; PK29_5414-3; PK29_5415-3; PK29_5416-3; PK29_5417-3; PK29_5418-3; PK29_5419-3; PK29_5420-3; PK29_5421-3; PK29_5422-3; PK29_5423-3; PK29_5424-3; PK29_5425-3; PK29_5426-3; PK29_5427-3; PK29_5428-3; PK29_5429-3; PK29_5430-3; PK29_5431-3; PK29_5432-3; PK29_5433-3; PK29_5434-3; PK29_5435-3; PK29_5436-3; PK29_5438-3; PK29_5439-3; PK29_5440-3; PK29_5441-3; PK29_5442-3; Professor Kolesnikov; Salinity; Silicate; Temperature, water; Titration
    Type: Dataset
    Format: text/tab-separated-values, 10613 data points
    Location Call Number Expected Availability
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  • 96
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    Unknown
    PANGAEA
    In:  Institute of Biology of the Southern Seas, National Academy of Sciences of Ukraine, Sevastopol
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Bottle, Niskin; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Determination of nitrite (Griess-Ilosvay); Determination of phosphate (Murphy & Riley, 1962); Determination of silicate (Murphy & Riley, 1962); Elevation of event; Event label; Latitude of event; Longitude of event; Mediterranean Sea, Western Basin; Mikhail Lomonosov; ML30; ML30_2295-1; ML30_2295-2; ML30_2295-3; ML30_2295-4; ML30_2296-1; ML30_2296-2; ML30_2299-1; ML30_2299-2; ML30_2329-2; ML30_2330-1; ML30_2332-1; ML30_2333-2; ML30_2334-1; ML30_2335-1; ML30_2336-1a; ML30_2336-2a; ML30_2336-3a; ML30_2336-4; ML30_2336-5; ML30_2337-1; ML30_2338-1; ML30_2339-2; ML30_2342-1; ML30_2344-1; ML30_2346-1; ML30_2348-1; ML30_2350-1; ML30_2352-1; ML30_2354-1; ML30_2356-1; ML30_2358-1; ML30_2360-2; ML30_2360-5; ML30_2362-1; ML30_2364-1; ML30_2366-1; ML30_2367-1; ML30_2368-1; ML30_2369-2; ML30_2369-3; ML30_2369-5; ML30_2369-9; ML30_2371-1; ML30_2373-1; ML30_2374-1; ML30_2378-1; ML30_2379-1; ML30_2380-1a; ML30_2381-1; ML30_2382-1; ML30_2384-1; ML30_2386-1; ML30_2388-2; ML30_2390-1; ML30_2392-1; ML30_2394-6; ML30_2411-1; ML30_2411-2; ML30_2412-1; NIS; Nitrate; Nitrite; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; pH, combination; Phosphate; Reversing thermometer; Salinity; Silicate; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 5368 data points
    Location Call Number Expected Availability
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  • 97
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    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; PK32; PK32_5845-3; PK32_5845-5; PK32_5845-9; PK32_5847; PK32_5847-3; PK32_5847-5; PK32_5849; PK32_5849-3; PK32_5849-5; PK32_5850; PK32_5850-3; PK32_5850-5; PK32_5851; PK32_5852; PK32_5854; PK32_5855; PK32_5857-3; PK32_5859; PK32_5859-3; PK32_5860; PK32_5860-7; PK32_5861; PK32_5861-11; PK32_5861-5; PK32_5868; PK32_5869; PK32_5870; PK32_5871; PK32_5871-3; PK32_5871-5; PK32_5873; PK32_5873-3; PK32_5873-5; PK32_5875; PK32_5875-3; PK32_5875-5; PK32_5877; PK32_5877-3; PK32_5877-5; PK32_5878; PK32_5879; PK32_5879-3; PK32_5879-5; PK32_5880; PK32_5880-3; PK32_5880-5; PK32_5881; PK32_5895-5; PK32_5898; PK32_5898-3; PK32_5900; PK32_5902; PK32_5903; PK32_5904; PK32_5906; PK32_5908; PK32_5910; PK32_5916; PK32_5918; PK32_5920; PK32_5922; PK32_5923; PK32_5924; PK32_5926; PK32_5929; PK32_5930; PK32_5933; PK32_5935; PK32_5937; PK32_5939; PK32_5940; PK32_5942; PK32_5944; PK32_5946; PK32_5949; PK32_5952-3; PK32_5952-5; PK32_5952-7; PK32_5952-9; PK32_7009; Professor Kolesnikov; Salinity; Silicate; Temperature, water; Titration
    Type: Dataset
    Format: text/tab-separated-values, 6981 data points
    Location Call Number Expected Availability
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  • 98
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    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; AV9; AV9_845-1; AV9_846-1; AV9_847-1; AV9_848-1; AV9_849-1; AV9_850-1; AV9_851-1; AV9_852-1; AV9_853-1; AV9_854-1; AV9_855-2; AV9_856-2; AV9_856-3; AV9_857-2; AV9_858-1; AV9_859-1; AV9_860-1; AV9_861-1; Bottle, Niskin; 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; NIS; 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, 1716 data points
    Location Call Number Expected Availability
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  • 99
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    Unknown
    PANGAEA
    In:  Marine Hydrophysical Institute, National Academy of Sciences of Ukraine
    Publication Date: 2023-03-14
    Keywords: Black Sea; CTD, ISTOK-7; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; GID25; GID25_1; GID25_100; GID25_102; GID25_103; GID25_104; GID25_105; GID25_106; GID25_107; GID25_108; GID25_109; GID25_11; GID25_110; GID25_111; GID25_112; GID25_113; GID25_114; GID25_115; GID25_116; GID25_117-2; GID25_118; GID25_119; GID25_120; GID25_121; GID25_122; GID25_123; GID25_124; GID25_125; GID25_126; GID25_127; GID25_128; GID25_129; GID25_13; GID25_130; GID25_131; GID25_132; GID25_133; GID25_134-2; GID25_135-2; GID25_136; GID25_137; GID25_15; GID25_15-2; GID25_17; GID25_18; GID25_19; GID25_22; GID25_26; GID25_27; GID25_28; GID25_3; GID25_30; GID25_32; GID25_33; GID25_33-2; GID25_34; GID25_35; GID25_36; GID25_37; GID25_37-3; GID25_38; GID25_39; GID25_40; GID25_44; GID25_44-2; GID25_48; GID25_49; GID25_5; GID25_50; GID25_51; GID25_52; GID25_53; GID25_56; GID25_6; GID25_60; GID25_62; GID25_64; GID25_65; GID25_66; GID25_67; GID25_67-2; GID25_67-3; GID25_69; GID25_7; GID25_71; GID25_71-2; GID25_73; GID25_74; GID25_75; GID25_76; GID25_77; GID25_78; GID25_79; GID25_80; GID25_81; GID25_82; GID25_83; GID25_84; GID25_85; GID25_86; GID25_87; GID25_89; GID25_9; GID25_93; GID25_96; GID25_97; GID25_98; GID25_99; Gidrooptik; Latitude of event; Longitude of event; Nitrate; Nitrate and Nitrite; Nitrite; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; Phosphate; Salinity; Silicate; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 5822 data points
    Location Call Number Expected Availability
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  • 100
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    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; Arabian Sea; AV22; AV22_2549-2; AV22_2551-2; AV22_2554-2; AV22_2557-2; AV22_2560-2; AV22_2563-2; AV22_2568-2; AV22_2571-2; AV22_2574-2; AV22_2577-2; AV22_2579-2; AV22_2582-2; AV22_2585-2; AV22_2588-2; AV22_2593-2; AV22_2596-2; AV22_2599-2; AV22_2602-2; AV22_2605-2; AV22_2608-2; AV22_2611-2; AV22_2614-2; AV22_2617-2; AV22_2620-2; AV22_2623-2; AV22_2626-2; AV22_2629-2; AV22_2632-2; AV22_2634-2; AV22_2635-2; AV22_2637-2; AV22_2640-2; AV22_2643-2; AV22_2646-2; AV22_2649-2; AV22_2652-2; AV22_2655-2; AV22_2658-2; AV22_2661-2; AV22_2664-2; AV22_2666-2; AV22_2680-2; AV22_2681-2; AV22_2682-2; AV22_2683-2; AV22_2684-2; AV22_2685-2; AV22_2686-2; AV22_2687-2; AV22_2688-2; AV22_2689-2; AV22_2690-2; AV22_2691-2; AV22_2692-2; AV22_2693-2; AV22_2694-2; AV22_2695-2; AV22_2696-2; AV22_2697-2; AV22_2698-2; AV22_2699-2; AV22_2700-2; AV22_2701-2; AV22_2702-2; AV22_2703-2; AV22_2704-2; AV22_2705-2; AV22_2706-2; AV22_2707-2; AV22_2708-2; AV22_2709-2; AV22_2710-2; AV22_2711-2; AV22_2712-2; AV22_2713-2; AV22_2714-2; AV22_2729-2; AV22_2730-2; AV22_2731-2; AV22_2732-2; AV22_2733-2; AV22_2734-2; AV22_2735-2; AV22_2736-2; AV22_2737-2; AV22_2738-2; AV22_2739-2; AV22_2740-2; AV22_2741-2; AV22_2742-2; AV22_2743-2; AV22_2744-2; AV22_2745-2; AV22_2746-2; AV22_2747-2; AV22_2748-2; AV22_2749-2; AV22_2750-2; AV22_2751-2; AV22_2752-2; AV22_2753-2; AV22_2754-2; AV22_2755-2; AV22_2756-2; AV22_2757-2; AV22_2758-2; AV22_2759-2; AV22_2760-2; AV22_2762-2; AV22_2763-2; AV22_2764-2; AV22_2765-2; AV22_2773; AV22_2776-2; AV22_2779-2; AV22_2780-2; AV22_2783; AV22_2786-2; AV22_2791-2; AV22_2794-2; AV22_2797-2; AV22_2798; AV22_2801-2; AV22_2804-2; AV22_2809-2; AV22_2812-2; AV22_2822-2; AV22_2823-2; AV22_2824-2; AV22_2825-2; AV22_2826-2; AV22_2827-2; AV22_2828-2; AV22_2829-2; AV22_2830-2; AV22_2832-2; AV22_2833-2; AV22_2834-2; AV22_2835-2; AV22_2836-2; AV22_2837-2; AV22_2838-2; AV22_2839-2; AV22_2840-2; CTD, ISTOK-3; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Determination of nitrite (Griess-Ilosvay); Determination of phosphate (Murphy & Riley, 1962); Determination of silicate (Murphy & Riley, 1962); Elevation of event; Event label; Indian Ocean; Latitude of event; Longitude of event; Nitrite; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; pH, combination; Phosphate; Salinity; Silicate; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 11422 data points
    Location Call Number Expected Availability
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