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  • 1
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    PANGAEA
    In:  Supplement to: Pivel, Maria Alejandra G; Santarosa, Ana Cláudia Aoki; Toledo, Felipe Antonio de L; Costa, Karen Badaraco (2013): The Holocene onset in the southwestern South Atlantic. Palaeogeography, Palaeoclimatology, Palaeoecology, 374, 164-172, https://doi.org/10.1016/j.palaeo.2013.01.014
    Publication Date: 2024-07-04
    Description: In this paper we present a paleoceanographic reconstruction of the southwestern South Atlantic for the past 13 kyr based on faunal and isotopic analysis of planktonic foraminifera from a high-resolution core retrieved at the South Brazil Bight continental slope. Our record indicates that oceanographic changes in the southwestern South Atlantic during the onset of the Holocene were comparable in strength to those that occurred during the Younger Dryas. Full interglacial conditions started abruptly after 8.2 kyr BP with a sharp change in faunal composition and surface hydrography (SST and SSS). Part of the observed events may be explained in terms of changes in thermohaline circulation while the other part suggests a dominant role of winds. Our data indicate that during the Early Holocene upwelling was significantly strengthened in the South Brazil Bight promoting high productivity and preventing the establishment of the typically interglacial menardiiform species. In general terms, oceanographic changes recorded by core KF02 occurred in synchrony with Antarctica's climate.
    Keywords: CDRILL; Core drilling; LaPAS-KF02; South Atlantic
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 2
    Publication Date: 2024-07-04
    Description: Repeated automated runs of signal alignment were used both to obtain an average fit (age model) and confidence intervals (uncertainties) for two marine sediment records from the southwest South Atlantic. A global and regional δ18O stack (LR04 and SL14, respectively) were used to transfer ages to the two records employing calibrated radiocarbon ages as chronological control points using the automated Match algorithm. A similar correlation between the two records is found both when the two records are correlated using the age model obtained and using δ18O correlation, validating the age models obtained by repeated automated tuning. The use of Termination I and Biozone Y/Z as chronological control points for the last deglaciation on high-resolution records is discussed here. The availability of uncertainties allowed more accurate interpretations. It is possible to observe that Biozone Y/Z is diachronous even on regional scale. Meanwhile Termination I is approximately synchronous on the regional scale but it is diachronous on the global scale. Although the stratigraphic events considered in this investigation are not globally synchronous and therefore not ideal control points for age models of high-resolution records, timing stratigraphic events in different locations has great relevance for investigations on triggering and propagation of climatic events and detailed understanding of climatic change mechanisms.
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 3
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    PANGAEA
    In:  Supplement to: Bergen, James A; Truax III, S; de Kaenel, Eric P; Blair, Stacie A; Browning, Emily L; Lundquist, J; Boesiger, Todd; Bolivar, M; Clark, K (2019): BP Gulf of Mexico Neogene Astronomically-tuned Time Scale (BP GNATTS). Bulletin of the Geological Society of America, 131(11-12), 1871-1888, https://doi.org/10.1130/B35062.1
    Publication Date: 2024-07-04
    Description: This paper introduces an integrated Neogene microfossil biostratigraphic chart developed within post-merger BP for the Gulf of Mexico Basin and is the first published industrial framework "fully-tuned" to orbital periodicities. Astronomical-tuning was accomplished through a 15-year research program on ODP Leg 154 sediments (offshore NE Brazil) with sampling resolution for calcareous nannofossils and planktonic foraminifera about 20 k.y. and 40 k.y. (thousand year), respectively. This framework extends from the Late Oligocene (25.05 Ma) to Recent at an average Chart Horizon resolution for the Neogene of 144 k.y., approximately double that of published Gulf of Mexico biostratigraphic charts and a five-fold increase over the highest resolution global calcareous microfossil biozonation. Such resolution approximates that of 4th to 5th order parasequences and is a critical component in the verification of seismic correlations between mini-basins in the deep-water Gulf of Mexico. Its utility in global time-scale construction and correlation has been proven, in part, by application of the scheme in full to internal research for the Oligocene-Miocene boundary interval on the Global Boundary Stratotype Section and Point (GSSP) in northern Italy and offshore wells in the eastern Mediterranean Sea. This step change in Neogene resolution, now at the level of cyclostratigraphy (the orbital periodicity of eccentricity) and the magnetostratigraphic chron, demonstrates the potential for calcareous microfossil biostratigraphy to more consistently reinforce correlations of these time scale parameters. The integration of microfossil disciplines, consistent taxonomies, and rigorous analytical methodologies are all critical to obtaining and reproducing this new level of biostratigraphic resolution.
    Keywords: Ocean Drilling Program; ODP
    Type: Dataset
    Format: application/zip, 21 datasets
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  • 4
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    PANGAEA
    In:  Supplement to: Santos, Thiago Pereira dos; Lessa, Douglas Villela de Oliveira; Venancio, Igor Martins; Chiessi, Cristiano Mazur; Mulitza, Stefan; Kuhnert, Henning; Govin, Aline; Machado, Thiago; Costa, Karen Badaraco; Toledo, Felipe Antonio de L; Dias, Bruna Borba; Albuquerque, Ana Luiza Spadano (2017): Prolonged warming of the Brazil Current precedes deglaciations. Earth and Planetary Science Letters, 463, 1-12, https://doi.org/10.1016/j.epsl.2017.01.014
    Publication Date: 2024-07-04
    Description: Paleoceanographic reconstructions from the Brazil Current are scarce and lack the required temporal resolution to appropriately represent its variability during key periods of the last glacial-interglacial cycles. Here, we present the first high-temporal resolution multiproxy reconstruction of the Brazil Current at 24 °S covering the last 185 ka. During the last and penultimate glacial periods, our Mg/Ca-derived sea surface temperature (SST) record shows a strong cooling at ca. 47 and ca. 156 ka, respectively, that is followed by a warming trend from late-Marine Isotope Stage (MIS) 3 to MIS 1 and from late-MIS 6 to MIS5e, respectively. Importantly, the Brazil Current warmed uninterruptedly towards Termination I (II) after the low SST at ca. 47 and ca. 156 ka, with no SST minima during the Last Glacial Maximum or penultimate glacial maximum. The reason for the strong cooling and the warming trend during late-MIS 3 and late-MIS 6 could reside in the favorable obliquity configuration. However, this mechanism is not sufficient to sustain the warming observed for the rest of the last and penultimate glacial periods. We propose that the change in the Atlantic meridional overturning circulation (AMOC), as described in the literature, from a 'warm' to a 'cold mode' for MIS 2 and MIS 6 is responsible for the accumulation of warm waters in the subtropical western South Atlantic, preventing SST minima during the last and penultimate glacial maxima in the region. Change in benthic d13C corroborates that a fundamental modification in the AMOC mode might have triggered the heat accumulation. Our data also show a sudden increase in SST and surface salinity during the last glacial descent (MIS 4), indicating that the western portion of the subtropical gyres may have acted as a heat and salt reservoir, while higher latitude climates transited to a glacial background. Our findings imply that the AMOC 'cold mode' induces heat storage in the subtropical western South Atlantic and, because of that, the last two regional SST minima occurred out-of-phase with the glacial maxima of higher latitudes.
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 5
    Publication Date: 2024-07-04
    Description: This study was designed to assess the concentration of heavy metals in water, two fish species (Clarias gariepinus and Oreochromis niloticus), and three different vegetables (Spinach, Rosella, and Jute mallow) which were grown around the riverbank of River Benue. A laboratory-based study was adopted. Fish, water samples, and vegetables were collected monthly at different locations named points A, B, and C from River Benue for five consecutive months between October 2019 and February 2020 and analyzed for physicochemical parameters. The parameters included pH, dissolved oxygen (DO), temperature, conductivity, lead, cadmium, manganese, zinc, Iron, and copper.
    Keywords: fish; heavy metals; Leibniz Centre for Tropical Marine Research; vegetables; water; ZMT
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 6
    Publication Date: 2024-07-04
    Description: During glacial/interglacial cycles, changes in the strength of the Atlantic Meridional Overturning Circulation (AMOC) modified the intermediate and deep-water mass proportions and high latitude productivity in the Atlantic Ocean. These factors influence the distribution and geochemical partitioning of trace metals in the ocean. Mercury is a redox and productivity-sensitive trace metal, making it a potential proxy of paleoenvironmental changes. Therefore, this work examines the effect of Atlantic Ocean circulation changes during the last two glacial/interglacial cycles on the biogeochemistry of Hg. For this, a high-resolution record of the total Hg concentration was determined in core GL-1090 collected from the Southwestern Subtropical Atlantic that represents the last 185 thousand years. During the reported glacial/interglacial cycles, Hg showed a distinct trend throughout Marine Isotope Stages with higher concentrations during periods of enhanced penetration of northern component water into the southwestern Atlantic. This is supported by the similarity of mercury variability with benthic foraminifera δ¹³C, suggesting a strong influence of deep ocean circulation on the availability and accumulation of this metal in deep-sea sediments. Mercury geochemistry and particle scavenging were correlated with organic matter (OM) input at the core site. We also noted that mercury responded to redox variation in sediment after Termination II, which can be explained by the increase in deep ocean ventilation due to AMOC strengthening. This hypothesis was confirmed by the antiphase behavior of Hg and Total Organic Carbon when compared with Mn/Al ratios and CaCO3. Our work, therefore, allows for a better understanding of the processes leading to long-term mercury removal to sediments.
    Keywords: Atlantic meridional overturning circulation; Calcium carbonate dissolution; Mercury concentration; Organic matter remineralization; paleoproductivity
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 7
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    PANGAEA
    In:  Supplement to: Lessa, Douglas Villela de Oliveira; Santos, Thiago Pereira dos; Venancio, Igor Martins; Santarosa, Ana Claudia A; dos Santos Junior, Edmundo C; Toledo, Felipe A L; Costa, Karen B; Albuquerque, Ana Luiza Spadano (2019): Eccentricity-induced expansions of Brazilian coastal upwelling zones. Global and Planetary Change, 179, 33-42, https://doi.org/10.1016/j.gloplacha.2019.05.002
    Publication Date: 2024-07-04
    Description: Expansions of coastal upwelling spots along the Brazilian coast were previously reported for Marine Isotope Stage (MIS) 5, but open questions remain regarding the climatic mechanisms and the periodicity of such changes. Based on two marine sediment cores, we provide evidence for multiple intensifications of the upwelling regime off the Southeast Brazilian margin (SBM) during several interglacials and highlight the major role of eccentricity as the responsible forcing. In addition, we show a two-step change in the upwelling regime across the Mid-Brunhes Event (MBE) and an increase in the amplitude of upwelling variability after this climatic transition. Our findings point to substantial modifications of the upwelling regions during several glacial-interglacial transitions that probably altered the regional marine productivity regime and the carbon budget.
    Keywords: Milankovitch cycles; Paleoceanography; Planktonic foraminifera; Pleistocene; Southwest Atlantic Ocean
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 8
    Publication Date: 2024-07-04
    Description: The presence of snow on sea-ice can have dramatic effects on the photosynthetically available radiation (PAR) that reaches the ice algae. To better quantify this effect in the high Arctic, an experiment was conducted in Kangerlussuaq, west Greenland, throughout March 2013 where snow was cleared off the sea-ice and measured parameters were compared to a control area. Samples of under-ice algae were then taken to analyse the species composition. The bottom 30 mm of the sampled ice cores were used to determine the stress on the photosystems of the sea ice algae as they experienced the rapid irradiance via the variable fluorescence of photosystem II (PSII). PSII was measured using pulse amplitude modulated (PAM) fluorometry (Walz Imaging-PAM fluorometer). This provides the effective quantum yield of PSII (Φ_PSII), which is a unitless ratio of ambient (F) and maximum (F_m) fluorescence yields. These measurements were taken every 3 hours over the final day of the study. Periodically over the week of the study, similar measurements were taken (in triplicate) with a Phyto-PAM System II Emitter-Detector (Phyto-ED) to determine how F and F_m values changed at a courser temporal resolution. Also measured were rapid light curves (RLCs), which allowed for the derivation of the relative electron transfer rate (rETR and rETR_max; µmol é/m²/s), the slope of the light-limited portion of the RLC (α; mol é /mol photons), and the irradiance at which rETR was light-saturated (E_k; µmol photon/m²/s). 100 ml samples of thawed sea-ice were also collected and stored in the dark to be used for species identification. This was done by first enumerating the ice algae to the Utermöhl method. A Zeiss Axiovert 135M (40×) inverted microscope was used to identify and count species/morphological groups via a total of four diagonals per sample. Relative abundances of algae were estimated as percent of total count, and the biomass was calculated according to the ALGESYS protocol. Throughout the experiment the following variables were collected at 5 minute intervals: Air temperature (°C; sun-screened Campbell 107 temperature probe), upwelling and downwelling PAR (µmol photons/m²s; Li-COR Li-191 PAR sensor) at 0.5 m above the sea-ice surface, and under-ice PAR (µmol photon/m²/s; Li-COR –Li-192 submersible PAR sensor). From these data, transmittance (τ) was calculated as the ratio between under-ice PAR and downwelling PAR at the surface, and albedo (0-1 scale) was calculated as the ratio between upwelling and downwelling PAR at the surface.
    Keywords: Arctic Biodiversity & Livelihoods; FACE-IT; Greenland; ice algae; Kangerlussuaq_2013; optics; photobiology; Snow cover; Spectral radiometer; SPRA; stress
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 9
    Publication Date: 2024-07-04
    Description: Core MVSEIS08-TG-2 was acquired during the Euromargin-MVSEIS08 cruise on the Moroccan margin, south of the Gulf of Cadiz. This site was targeted to discuss the possibility of the saline upper branch of the Mediterranean Outflow Water (MOW) diverging southwards along the Moroccan margin, in addition to the well-established northern MOW current. The southern TG-2 is a 2.12 m gravity core. Contourite records cover the time interval from the last deglaciation starting at HS1 (18.6 ka) to the Holocene. New datasets of current velocity (sortable silt) and water mass origin (O and C isotopes of benthic foraminifera) define the intensity of the MOW as contourite deposits, together with element ratios (XRF-scan) and physical properties of the sediment. O and C isotopes of planktonic foraminifera, foraminiferal species and sea surface temperature (simmax.28 transfer function) were used to determine millennial climate changes during the last deglaciation.
    Keywords: contourites; Gulf of Cadiz; Heinrich Event 1; Mediterranean outflow; MOW; sortable silt; SST (foraminifera); stable oxygen and carbon isotopes; Younger Dryas
    Type: Dataset
    Format: application/zip, 9 datasets
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  • 10
    Publication Date: 2024-07-04
    Description: Core GC-01A was collected during the Contouriber-I cruise in the northern Gulf of Cadiz, bathed by the well-established northern Mediterranean Outflow Water (MOW) current along the Iberian margin; this site was a contrasting reference site to discuss the possibility of the saline upper branch of the MOW diverging southwards along the Moroccan margin (core MVSEIS08-TG-2). GC-01A-TC (0.87 m) and GC-01A-PC (5.21 m) consist of trigger and gravity cores from the same site, with both sections connected by a time gap at 8-9 ka. The contourite records cover the time interval from the Last Glacial Maximum (22 ka) through the last deglaciation to the Holocene (GC-01A). New datasets of current velocity (sortable silt) and water mass origin (O and C isotopes of benthic foraminifera) define the intensity of the MOW as contourite deposits, together with element ratios (XRF-scan) and physical properties of the sediment. O and C isotopes of planktonic foraminifera, foraminiferal species and sea surface temperature (simmax.28 transfer function) were used to determine millennial climate changes during the last deglaciation.
    Keywords: contourites; Gulf of Cadiz; Heinrich Event 1; Mediterranean outflow; MOW; sortable silt; SST (foraminifera); stable oxygen and carbon isotopes; Younger Dryas
    Type: Dataset
    Format: application/zip, 9 datasets
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  • 11
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    PANGAEA
    In:  Supplement to: Lin, Jialin; Qian, Taotao (submitted): Earth's Climate History Associated with The Supercontinent Cycle. Geophysical Research Letters
    Publication Date: 2024-07-04
    Description: The supercontinent cycle is a key oscillation of the Earth system with alternating aggregation and breakup of the supercontinent. It is important to know how Earth's climate system changes with this significant oscillation. Here, we demonstrate a unified picture of Earth's climate history since 4.4 billion years before present by deriving temperature, sea level, biodiversity, CO2, and geomagnetic intensity curves from a large number of Precambrian datasets. There were significant oscillations of temperature, sea level, biodiversity and geomagnetic intensity during the Precambrian period. Temperature oscillated by 20-60 oC, sea level rose and fell by 100-200 meters, and geomagnetic intensity oscillated by about 50% of its mean value. Temperature, sea level and geomagnetic intensity showed good in-phase relationship and tended to slightly lead orogenesis of the supercontinent cycle. We found that d13C captures well the Phanerozoic mass extinction events, and Precambrian biodiversity history showed seven "super mass extinction events".
    Keywords: File content; File format; File name; File size; Paleoclimate; Paleo-Sea Level; Paleo-Temperature; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 12
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    PANGAEA
    In:  King Abdullah University of Science and Technology
    Publication Date: 2024-07-04
    Keywords: 3N_pristine; Abedufduf; Abu_Shosha; Algae, cover; Algae, cover, standard error; Algae, encrusting, cover; Algae, encrusting, cover, standard deviation; Algae, encrusting, cover, standard error; Algae, turf, cover; Algae, turf, cover, standard deviation; Algae, turf, cover, standard error; Coral_Garden; Coral, hard, cover; Coral, hard, cover, standard deviation; Coral, hard, cover, standard error; Duba; Ellis_Reef; Event label; Freddy_Reef; Fsar; Jarir_Island; Latitude of event; Long_Island_Mangroves; Long_Island_No_Mangroves; LongIsland_SS_FarasanBanks; Longitude of event; Macroalgae, cover; Macroalgae, cover, standard deviation; Macroalgae, cover, standard error; Maktub; Malathu; Midshelf_II; Minke_Reef; Moray_reef; MULT; Multiple investigations; Murabba; Number; PTT4_FarasanBanks; PTT5_L_FarasanBanks; PTT5_W_FarasanBanks; R31_Al_Wajd; R34_Al_Wajd; R35_Al_Wajd; R36_AlWajd; Red Sea; Rose_Reef; Sample comment; Shib_Al_Roab; Shib_Ammar; Shib_Nizar; Sirrayn_Wall; Tartaruga; Um_Albalamn; Um_Alsawi; Yanbu
    Type: Dataset
    Format: text/tab-separated-values, 1160 data points
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  • 13
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    PANGAEA
    In:  Supplement to: Ballalai, João M; Santos, Thiago Pereira dos; Lessa, Douglas Villela de Oliveira; Venancio, Igor Martins; Chiessi, Cristiano Mazur; Johnstone, Heather J H; Kuhnert, Henning; Claudio, Marcela R; Toledo, Felipe Antonio de L; Costa, Karen B; Albuquerque, Ana Luiza Spadano (2019): Tracking spread of the Agulhas Leakage into the western South Atlantic and its northward transmission during the Last Interglacial. Paleoceanography and Paleoclimatology, https://doi.org/10.1029/2019PA003653
    Publication Date: 2024-07-04
    Description: Thermocline temperature and seawater d18O reconstruction during Termination II and the Last Interglacial for the core GL-1090, in the western South Atlantic. The intensification of the Agulhas Leakage (AL) during glacial Terminations has long been proposed as a necessary mechanism to return the Atlantic Meridional Overturning Circulation (AMOC) to its interglacial mode. However, the lack of records showing the downstream evolution of the AL signal and the substantial temporal differences between AL intensification and resumption of deep-water convection cast doubt on the importance of this mechanism to the overturning. Here, we analyze a combination of new and previously published data related to Mg/Ca-derived temperatures and ice volume-corrected seawater δ18O records (δ18OIVC-SW as a proxy for ocean relative salinity changes) that demonstrate the propagation of the AL signal via surface and thermocline waters to the western South Atlantic (Santos Basin) during glacial Termination II and the early Last Interglacial. The saline AL waters were temporally stored in the upper subtropical South Atlantic until they were abruptly released in two steps into the North Atlantic via the surface and thermocline at ca. 129 and 123 ka BP, respectively. Within age uncertainties, these two steps are coeval with the resumption of convection in the Labrador and Nordic Seas during the Last Interglacial. We propose a mechanism whereby both an active AL and a favorable ocean-atmosphere configuration in the tropical Atlantic were required to allow the flux of AL waters into the North Atlantic, where they then contributed to enhancing the AMOC during the Last Interglacial period. Our results provide a framework that connects AL strengthening to the AMOC intensifications that follow glaciations.
    Keywords: AGE; Agulhas rings; Atlantic meridional overturning circulation; Brazil Current; DEPTH, sediment/rock; GL1090; GL-1090; Globorotalia inflata, Magnesium/Calcium ratio; Globorotalia inflata, δ18O; see Santos et al. (2017a); see Santos et al. (2017b); Subtropical gyre; Temperature, calculated; Termination II; western South Atlantic; δ18O, seawater, reconstructed
    Type: Dataset
    Format: text/tab-separated-values, 335 data points
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  • 14
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-07-04
    Keywords: AWI_PhyOce; Calculated; Conductivity; CTD, SEA-BIRD SBE 911plus, SN T1526-C1222; CTD, towed system; CTD/Rosette; CTD-RO; CTD-twoyo; CTD-yoyo; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Der Nordatlantik als Teil des Erdsystems; Elevation of event; Event label; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; Greenland - Ice Sheet/Ocean Interaction: From process understanding to an analysis of the regional system; GROCE; Latitude of event; Longitude of event; Maria S. Merian; MSM76; MSM76_100-1; MSM76_101-1; MSM76_102-1; MSM76_103-1; MSM76_103-10; MSM76_103-11; MSM76_103-12; MSM76_103-13; MSM76_103-14; MSM76_103-15; MSM76_103-16; MSM76_103-17; MSM76_103-18; MSM76_103-19; MSM76_103-2; MSM76_103-20; MSM76_103-21; MSM76_103-22; MSM76_103-23; MSM76_103-24; MSM76_103-25; MSM76_103-26; MSM76_103-3; MSM76_103-4; MSM76_103-5; MSM76_103-6; MSM76_103-7; MSM76_103-8; MSM76_103-9; MSM76_104-1; MSM76_105-1; MSM76_106-1; MSM76_107-1; MSM76_108-1; MSM76_109-1; MSM76_1-1; MSM76_110-1; MSM76_11-1; MSM76_111-1; MSM76_112-1; MSM76_113-1; MSM76_114-1; MSM76_115-1; MSM76_116-1; MSM76_118-1; MSM76_119-1; MSM76_120-1; MSM76_121-1; MSM76_122-1; MSM76_123-1; MSM76_124-1; MSM76_125-1; MSM76_126-1; MSM76_129-1; MSM76_130-1; MSM76_13-1; MSM76_131-1; MSM76_133-1; MSM76_134-1; MSM76_135-1; MSM76_136-1; MSM76_137-1; MSM76_138-1; MSM76_14-1; MSM76_141-1; MSM76_142-1; MSM76_143-1; MSM76_144-1; MSM76_145-1; MSM76_146-1; MSM76_147-1; MSM76_148-1; MSM76_149-1; MSM76_15-1; MSM76_154-1; MSM76_154-10; MSM76_154-11; MSM76_154-12; MSM76_154-13; MSM76_154-14; MSM76_154-15; MSM76_154-16; MSM76_154-17; MSM76_154-18; MSM76_154-19; MSM76_154-2; MSM76_154-20; MSM76_154-21; MSM76_154-22; MSM76_154-23; MSM76_154-24; MSM76_154-25; MSM76_154-26; MSM76_154-27; MSM76_154-28; MSM76_154-29; MSM76_154-3; MSM76_154-30; MSM76_154-31; MSM76_154-4; MSM76_154-5; MSM76_154-6; MSM76_154-7; MSM76_154-8; MSM76_154-9; MSM76_158-1; MSM76_158-10; MSM76_158-11; MSM76_158-12; MSM76_158-13; MSM76_158-14; MSM76_158-15; MSM76_158-16; MSM76_158-17; MSM76_158-18; MSM76_158-19; MSM76_158-2; MSM76_158-20; MSM76_158-3; MSM76_158-4; MSM76_158-5; MSM76_158-6; MSM76_158-7; MSM76_158-8; MSM76_158-9; MSM76_159-1; MSM76_159-10; MSM76_159-11; MSM76_159-12; MSM76_159-13; MSM76_159-2; MSM76_159-3; MSM76_159-4; MSM76_159-5; MSM76_159-6; MSM76_159-7; MSM76_159-8; MSM76_159-9; MSM76_16-1; MSM76_162-1; MSM76_163-1; MSM76_164-1; MSM76_165-1; MSM76_166-1; MSM76_167-1; MSM76_168-1; MSM76_169-1; MSM76_170-1; MSM76_17-1; MSM76_171-1; MSM76_172-1; MSM76_173-1; MSM76_174-1; MSM76_175-1; MSM76_176-1; MSM76_177-1; MSM76_180-1; MSM76_18-1; MSM76_181-1; MSM76_182-1; MSM76_183-1; MSM76_184-1; MSM76_185-1; MSM76_186-1; MSM76_187-1; MSM76_188-1; MSM76_189-1; MSM76_190-1; MSM76_19-1; MSM76_191-1; MSM76_192-1; MSM76_193-1; MSM76_194-1; MSM76_195-1; MSM76_196-1; MSM76_197-1; MSM76_200-1; MSM76_20-1; MSM76_201-1; MSM76_207-1; MSM76_208-1; MSM76_209-1; MSM76_2-1; MSM76_210-1; MSM76_211-1; MSM76_212-1; MSM76_215-1; MSM76_216-1; MSM76_217-1; MSM76_218-1; MSM76_219-1; MSM76_220-1; MSM76_221-1; MSM76_222-1; MSM76_223-1; MSM76_224-1; MSM76_227-1; MSM76_228-1; MSM76_229-1; MSM76_230-1; MSM76_231-1; MSM76_232-1; MSM76_233-1; MSM76_234-1; MSM76_235-1; MSM76_236-1; MSM76_237-1; MSM76_238-1; MSM76_239-1; MSM76_24-1; MSM76_25-1; MSM76_26-1; MSM76_27-1; MSM76_28-1; MSM76_29-1; MSM76_30-1; MSM76_3-1; MSM76_31-1; MSM76_32-1; MSM76_33-1; MSM76_34-1; MSM76_35-1; MSM76_36-1; MSM76_37-1; MSM76_38-1; MSM76_39-1; MSM76_40-1; MSM76_4-1; MSM76_41-1; MSM76_42-1; MSM76_43-1; MSM76_44-1; MSM76_45-1; MSM76_46-1; MSM76_47-1; MSM76_48-1; MSM76_49-1; MSM76_50-1; MSM76_5-1; MSM76_53-1; MSM76_55-1; MSM76_56-1; MSM76_57-1; MSM76_58-1; MSM76_59-1; MSM76_60-1; MSM76_6-1; MSM76_61-1; MSM76_62-1; MSM76_63-1; MSM76_64-1; MSM76_65-1; MSM76_66-1; MSM76_67-1; MSM76_68-1; MSM76_69-1; MSM76_70-1; MSM76_7-1; MSM76_71-1; MSM76_72-1; MSM76_73-1; MSM76_74-1; MSM76_75-1; MSM76_76-1; MSM76_77-1; MSM76_78-1; MSM76_79-1; MSM76_80-1; MSM76_8-1; MSM76_81-1; MSM76_82-1; MSM76_83-1; MSM76_84-1; MSM76_85-1; MSM76_86-1; MSM76_87-1; MSM76_88-1; MSM76_89-1; MSM76_90-1; MSM76_91-1; MSM76_92-1; MSM76_93-1; MSM76_94-1; MSM76_95-1; MSM76_96-1; MSM76_97-1; MSM76_98-1; MSM76_99-1; NACLIM; Nordatlantik; North Atlantic; North Atlantic Climate; Number of observations; Oxygen; Oxygen saturation; Physical Oceanography @ AWI; Pressure, water; Priority Programme 1889 Regional Sea Level Change and Society; RACE; Regional Atlantic Circulation and global Change; Salinity; SPP1889; Temperature, water; Temperature, water, potential; TRR181; TRR181 Energy transfers in Atmosphere and Ocean; Yoyo-CTD
    Type: Dataset
    Format: text/tab-separated-values, 1762191 data points
    Location Call Number Expected Availability
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  • 15
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-07-04
    Keywords: AWI_PhyOce; Bottle number; Calculated; Conductivity; CTD, SEA-BIRD SBE 911plus, SN T1526-C1222; CTD/Rosette; CTD-RO; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Der Nordatlantik als Teil des Erdsystems; Elevation of event; Event label; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; Greenland - Ice Sheet/Ocean Interaction: From process understanding to an analysis of the regional system; GROCE; Latitude of event; Longitude of event; Maria S. Merian; MSM76; MSM76_100-1; MSM76_101-1; MSM76_102-1; MSM76_104-1; MSM76_105-1; MSM76_106-1; MSM76_107-1; MSM76_108-1; MSM76_109-1; MSM76_1-1; MSM76_110-1; MSM76_11-1; MSM76_111-1; MSM76_112-1; MSM76_113-1; MSM76_114-1; MSM76_115-1; MSM76_116-1; MSM76_118-1; MSM76_119-1; MSM76_120-1; MSM76_121-1; MSM76_122-1; MSM76_123-1; MSM76_124-1; MSM76_125-1; MSM76_126-1; MSM76_129-1; MSM76_130-1; MSM76_13-1; MSM76_131-1; MSM76_133-1; MSM76_134-1; MSM76_135-1; MSM76_136-1; MSM76_137-1; MSM76_138-1; MSM76_14-1; MSM76_141-1; MSM76_142-1; MSM76_143-1; MSM76_144-1; MSM76_145-1; MSM76_146-1; MSM76_147-1; MSM76_148-1; MSM76_149-1; MSM76_15-1; MSM76_16-1; MSM76_162-1; MSM76_163-1; MSM76_164-1; MSM76_165-1; MSM76_166-1; MSM76_167-1; MSM76_168-1; MSM76_169-1; MSM76_170-1; MSM76_17-1; MSM76_171-1; MSM76_172-1; MSM76_173-1; MSM76_174-1; MSM76_175-1; MSM76_176-1; MSM76_177-1; MSM76_180-1; MSM76_181-1; MSM76_182-1; MSM76_183-1; MSM76_184-1; MSM76_185-1; MSM76_186-1; MSM76_187-1; MSM76_188-1; MSM76_189-1; MSM76_190-1; MSM76_19-1; MSM76_191-1; MSM76_192-1; MSM76_193-1; MSM76_194-1; MSM76_195-1; MSM76_196-1; MSM76_197-1; MSM76_200-1; MSM76_201-1; MSM76_207-1; MSM76_208-1; MSM76_209-1; MSM76_2-1; MSM76_210-1; MSM76_211-1; MSM76_212-1; MSM76_215-1; MSM76_216-1; MSM76_218-1; MSM76_220-1; MSM76_222-1; MSM76_224-1; MSM76_24-1; MSM76_26-1; MSM76_27-1; MSM76_28-1; MSM76_29-1; MSM76_30-1; MSM76_3-1; MSM76_31-1; MSM76_32-1; MSM76_33-1; MSM76_34-1; MSM76_35-1; MSM76_36-1; MSM76_37-1; MSM76_38-1; MSM76_39-1; MSM76_40-1; MSM76_4-1; MSM76_41-1; MSM76_42-1; MSM76_43-1; MSM76_44-1; MSM76_45-1; MSM76_46-1; MSM76_47-1; MSM76_48-1; MSM76_49-1; MSM76_50-1; MSM76_5-1; MSM76_53-1; MSM76_55-1; MSM76_56-1; MSM76_57-1; MSM76_58-1; MSM76_59-1; MSM76_60-1; MSM76_6-1; MSM76_61-1; MSM76_62-1; MSM76_63-1; MSM76_64-1; MSM76_65-1; MSM76_66-1; MSM76_67-1; MSM76_68-1; MSM76_69-1; MSM76_70-1; MSM76_7-1; MSM76_71-1; MSM76_72-1; MSM76_73-1; MSM76_74-1; MSM76_75-1; MSM76_76-1; MSM76_77-1; MSM76_78-1; MSM76_79-1; MSM76_80-1; MSM76_8-1; MSM76_81-1; MSM76_82-1; MSM76_83-1; MSM76_84-1; MSM76_85-1; MSM76_86-1; MSM76_87-1; MSM76_88-1; MSM76_89-1; MSM76_90-1; MSM76_91-1; MSM76_92-1; MSM76_93-1; MSM76_94-1; MSM76_95-1; MSM76_96-1; MSM76_97-1; MSM76_98-1; MSM76_99-1; NACLIM; Nordatlantik; North Atlantic; North Atlantic Climate; Oxygen; Oxygen saturation; Oxygen sensor, SBE 43; Physical Oceanography @ AWI; Pressure, water; Priority Programme 1889 Regional Sea Level Change and Society; RACE; Regional Atlantic Circulation and global Change; Salinity; SPP1889; Temperature, water; Temperature, water, potential; TRR181; TRR181 Energy transfers in Atmosphere and Ocean
    Type: Dataset
    Format: text/tab-separated-values, 4671 data points
    Location Call Number Expected Availability
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  • 16
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-07-04
    Keywords: -; Acoustic Doppler Current Profiler; Acoustic Doppler Current Profiling, vessel-mounted (VM-ADCP); ADCP; AWI_PhyOce; Bin number; Current velocity, east-west; Current velocity, error; Current velocity, north-south; Current velocity, standard deviation; Current velocity, vertical; DATE/TIME; Depth, relative; DEPTH, water; LATITUDE; LONGITUDE; Maria S. Merian; MSM76; MSM76_0_underway-2; North Atlantic; Number; Percentage; Physical Oceanography @ AWI; Profile ID; Quality; SADCP; Ship speed; Ship speed, standard deviation; Ship velocity, East; Ship velocity, North; Ship velocity, vertical; VM-ADCP
    Type: Dataset
    Format: text/tab-separated-values, 10766304 data points
    Location Call Number Expected Availability
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  • 17
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-07-04
    Description: For the station-based current velocity measurements during MSM76, a pair of 307kHz. Lowered Acoustic Doppler Current Profilers (LADCPs) was used, mounted on the CTD rosette. Each cast was processed with LDEO Software Version IX-13 from ftp://ftp.ldeo.columbia.edu/pub/LADCP.
    Keywords: Acoustic Doppler Current Profiling (LADCP) [lowered with CTD]; ADCP; AWI_PhyOce; CTD, towed system; CTD/Rosett; CTD/Rosette; CTD-RO; CTD-twoyo; CTD-yoyo; current; Current velocity, east-west; Current velocity, north-south; DATE/TIME; DEPTH, water; Event label; LADCP; LATITUDE; LONGITUDE; Maria S. Merian; MSM76; MSM76_100-1; MSM76_101-1; MSM76_102-1; MSM76_103-1; MSM76_103-10; MSM76_103-11; MSM76_103-12; MSM76_103-13; MSM76_103-14; MSM76_103-15; MSM76_103-16; MSM76_103-17; MSM76_103-18; MSM76_103-19; MSM76_103-2; MSM76_103-20; MSM76_103-21; MSM76_103-22; MSM76_103-23; MSM76_103-24; MSM76_103-25; MSM76_103-26; MSM76_103-3; MSM76_103-4; MSM76_103-5; MSM76_103-6; MSM76_103-7; MSM76_103-8; MSM76_103-9; MSM76_104-1; MSM76_105-1; MSM76_106-1; MSM76_107-1; MSM76_108-1; MSM76_109-1; MSM76_1-1; MSM76_110-1; MSM76_11-1; MSM76_111-1; MSM76_112-1; MSM76_113-1; MSM76_114-1; MSM76_115-1; MSM76_116-1; MSM76_118-1; MSM76_119-1; MSM76_120-1; MSM76_121-1; MSM76_122-1; MSM76_123-1; MSM76_124-1; MSM76_125-1; MSM76_126-1; MSM76_129-1; MSM76_130-1; MSM76_13-1; MSM76_131-1; MSM76_133-1; MSM76_134-1; MSM76_135-1; MSM76_136-1; MSM76_137-1; MSM76_138-1; MSM76_14-1; MSM76_141-1; MSM76_142-1; MSM76_143-1; MSM76_144-1; MSM76_145-1; MSM76_146-1; MSM76_147-1; MSM76_148-1; MSM76_149-1; MSM76_15-1; MSM76_154-1; MSM76_154-10; MSM76_154-11; MSM76_154-12; MSM76_154-13; MSM76_154-14; MSM76_154-15; MSM76_154-16; MSM76_154-17; MSM76_154-18; MSM76_154-19; MSM76_154-2; MSM76_154-20; MSM76_154-21; MSM76_154-22; MSM76_154-23; MSM76_154-24; MSM76_154-25; MSM76_154-26; MSM76_154-27; MSM76_154-28; MSM76_154-29; MSM76_154-3; MSM76_154-30; MSM76_154-31; MSM76_154-4; MSM76_154-5; MSM76_154-6; MSM76_154-7; MSM76_154-8; MSM76_154-9; MSM76_158-1; MSM76_158-10; MSM76_158-11; MSM76_158-12; MSM76_158-13; MSM76_158-14; MSM76_158-15; MSM76_158-16; MSM76_158-17; MSM76_158-18; MSM76_158-19; MSM76_158-2; MSM76_158-20; MSM76_158-3; MSM76_158-4; MSM76_158-5; MSM76_158-6; MSM76_158-7; MSM76_158-8; MSM76_158-9; MSM76_159-1; MSM76_159-10; MSM76_159-11; MSM76_159-12; MSM76_159-13; MSM76_159-2; MSM76_159-3; MSM76_159-4; MSM76_159-5; MSM76_159-6; MSM76_159-7; MSM76_159-8; MSM76_159-9; MSM76_16-1; MSM76_162-1; MSM76_163-1; MSM76_164-1; MSM76_165-1; MSM76_166-1; MSM76_167-1; MSM76_168-1; MSM76_169-1; MSM76_170-1; MSM76_17-1; MSM76_171-1; MSM76_172-1; MSM76_173-1; MSM76_174-1; MSM76_175-1; MSM76_176-1; MSM76_180-1; MSM76_18-1; MSM76_181-1; MSM76_182-1; MSM76_183-1; MSM76_184-1; MSM76_185-1; MSM76_186-1; MSM76_187-1; MSM76_188-1; MSM76_189-1; MSM76_190-1; MSM76_19-1; MSM76_191-1; MSM76_192-1; MSM76_193-1; MSM76_194-1; MSM76_195-1; MSM76_196-1; MSM76_197-1; MSM76_200-1; MSM76_20-1; MSM76_201-1; MSM76_207-1; MSM76_208-1; MSM76_209-1; MSM76_2-1; MSM76_210-1; MSM76_211-1; MSM76_212-1; MSM76_215-1; MSM76_216-1; MSM76_217-1; MSM76_218-1; MSM76_219-1; MSM76_220-1; MSM76_221-1; MSM76_222-1; MSM76_223-1; MSM76_224-1; MSM76_227-1; MSM76_228-1; MSM76_229-1; MSM76_230-1; MSM76_231-1; MSM76_232-1; MSM76_233-1; MSM76_234-1; MSM76_235-1; MSM76_236-1; MSM76_237-1; MSM76_238-1; MSM76_239-1; MSM76_24-1; MSM76_25-1; MSM76_26-1; MSM76_27-1; MSM76_28-1; MSM76_29-1; MSM76_30-1; MSM76_3-1; MSM76_31-1; MSM76_32-1; MSM76_33-1; MSM76_34-1; MSM76_35-1; MSM76_36-1; MSM76_37-1; MSM76_38-1; MSM76_39-1; MSM76_40-1; MSM76_4-1; MSM76_41-1; MSM76_42-1; MSM76_43-1; MSM76_44-1; MSM76_45-1; MSM76_46-1; MSM76_47-1; MSM76_48-1; MSM76_49-1; MSM76_50-1; MSM76_5-1; MSM76_53-1; MSM76_55-1; MSM76_56-1; MSM76_57-1; MSM76_58-1; MSM76_59-1; MSM76_60-1; MSM76_6-1; MSM76_61-1; MSM76_62-1; MSM76_63-1; MSM76_64-1; MSM76_65-1; MSM76_66-1; MSM76_67-1; MSM76_68-1; MSM76_69-1; MSM76_70-1; MSM76_7-1; MSM76_71-1; MSM76_72-1; MSM76_73-1; MSM76_74-1; MSM76_75-1; MSM76_76-1; MSM76_77-1; MSM76_78-1; MSM76_79-1; MSM76_80-1; MSM76_8-1; MSM76_81-1; MSM76_82-1; MSM76_83-1; MSM76_84-1; MSM76_85-1; MSM76_86-1; MSM76_87-1; MSM76_88-1; MSM76_89-1; MSM76_90-1; MSM76_91-1; MSM76_92-1; MSM76_93-1; MSM76_94-1; MSM76_95-1; MSM76_96-1; MSM76_97-1; MSM76_98-1; MSM76_99-1; North Atlantic; Physical Oceanography @ AWI; Station label; velocity; Yoyo-CTD
    Type: Dataset
    Format: text/tab-separated-values, 75351 data points
    Location Call Number Expected Availability
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  • 18
    Publication Date: 2024-07-04
    Description: 3D reflection seismic data were acquired using the P-Cable system of the National Oceanographic Centre, Southampton, UK during cruise 178 Leg 2 onboard RRS Charles Darwin between the 5th and 8th of April 2006. The responsible PI's was C. Berndt, Southampton Oceanography Centre, Southampton, UK. The aim of this cruise was to map submarine landslides on the eastern slopes of the Eivissa Channel, western Mediterranean Sea located between the islands of Ibiza-Formentera and the Spanish mainland. Berndt et al. (2012) used the acquired data to study repeated slope failure linked to fluid migration, while Lafuerza et al. (2012) studied geotechnical aspects of slope stability using this as additional data. Acquisition parameters: The source during seismic acquisition consisted of four 40 in3 Bolt 600B air guns spaced 0.75 m apart and tower at a depth of 1.5 m about 20 m behind the stern of the vessel (Berndt et al., 2012). The air guns are fitted with wave shape kits that emit approximately 10 in3 of air prior to the main volume to reduce the bubble pulse. The air pressure is 2000 psi, and the gun controller triggers the guns to figure every 7 seconds. The data were collected with 11 single-channel analogue streamers that were towed 10 m apart. The seismic cube in the Eivissa Channel covers an area of ca. 14 km2 (ca. 6.4 EW x 2.2 NS km) located at 306091.83 4280497.41; 305951.42 4278353.92; 312321.94 4277936.57 in UTM zone 31N. 3D seismic processing: Data were frequency filtered from 45 to 220 Hz and binned at 10 m bin interval before a Stolt time migration with a migration velocity of 1500 ms-1 was carried out. The resolution of the data is approximately 5-6 m vertically and for the 10 m inline and crossline spacing the horizontal resolution is 10-15 m (Berndt et al., 2012). Seismic data acquisition was performed between 10:05 PM on the 5th of April until 08:30 PM on the 7th of April 2006 (CD178 cruise report). The seismic cube is located at water depths of 550 to 825 m from east to west. Raw data is available here:doi:10.1594/PANGAEA.943523.
    Keywords: 3D seismic P-Cable data; Ana Slide; Binary Object; Binary Object (File Size); CD178; CD178_3D_Ana_Slide; Charles Darwin; Eivissa Channel; File content; geohazards; Geomorphology; Gulf of Cádiz, Atlantic Ocean; HERMIONE; Hotspot Ecosystem Research and Mans Impact On European Seas; Mediterranean; P-Cable; P-Cable 3D Seismic; P-Cable 3D seismic cube; sediment transport; SEIS; Seismic; seismic interpretation; Spain; submarine landslide; tectonic geomorphology; Western Mediterranean; Western Mediterranean Sea
    Type: Dataset
    Format: text/tab-separated-values, 4 data points
    Location Call Number Expected Availability
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  • 19
    Publication Date: 2024-07-04
    Description: 3D reflection seismic data were acquired using the P-Cable system of the National Oceanographic Centre, Southampton, UK during cruise 178 Leg 2 onboard RRS Charles Darwin between the 5th and 8th of April 2006. The responsible PI's was C. Berndt, Southampton Oceanography Centre, Southampton, UK. The aim of this cruise was to map submarine landslides on the eastern slopes of the Eivissa Channel, western Mediterranean Sea located between the islands of Ibiza-Formentera and the Spanish mainland. Berndt et al. (2012) used the acquired data to study repeated slope failure linked to fluid migration, while Lafuerza et al. (2012) studied geotechnical aspects of slope stability using this as additional data. Acquisition parameters: The source during seismic acquisition consisted of four 40 in3 Bolt 600B air guns spaced 0.75 m apart and tower at a depth of 1.5 m about 20 m behind the stern of the vessel (Berndt et al., 2012). The air guns are fitted with wave shape kits that emit approximately 10 in3 of air prior to the main volume to reduce the bubble pulse. The air pressure is 2000 psi, and the gun controller triggers the guns to figure every 7 seconds. The data were collected with 11 single-channel analogue streamers that were towed 10 m apart. The seismic cube in the Eivissa Channel covers an area of ca. 14 km2 (ca. 6.4 EW x 2.2 NS km) located at 306091.83 4280497.41; 305951.42 4278353.92; 312321.94 4277936.57 in UTM zone 31N. 2D seismic processing: During seismic processing of the 3D dataset significant ghost-artefacts were identified because some of the streamers were towed too deep. This required de-ghosting. Unfortunately, these attempts did not yield improved quality of the 3D seismic data. This was mainly because the 12.5 m streamers were too short for commonly used de-ghosting technique used in the industry. To increase vertical resolution individual 2D profiles were extracted from the raw dataset. Processing steps included frequency bandpass filtering, burst noise attenuation, binning, NMO-correction, stacked, and a Stolt migration with 1520 ms-1 was applied that resulted in higher resolution 2D profiles for 85 lines and 11 streamers (channels).
    Keywords: 3D seismic P-Cable data; Ana Slide; Binary Object; Binary Object (File Size); CD178; CD178_eivissa_line01; CD178_eivissa_line02; CD178_eivissa_line03; CD178_eivissa_line04; CD178_eivissa_line05; CD178_eivissa_line06; CD178_eivissa_line07; CD178_eivissa_line08; CD178_eivissa_line09; CD178_eivissa_line10; CD178_eivissa_line11; CD178_eivissa_line12; CD178_eivissa_line13; CD178_eivissa_line14; CD178_eivissa_line15; CD178_eivissa_line16; CD178_eivissa_line17; CD178_eivissa_line18; CD178_eivissa_line19; CD178_eivissa_line20; CD178_eivissa_line21; CD178_eivissa_line22; CD178_eivissa_line23; CD178_eivissa_line24; CD178_eivissa_line25; CD178_eivissa_line26; CD178_eivissa_line27; CD178_eivissa_line28; CD178_eivissa_line29; CD178_eivissa_line30; CD178_eivissa_line31; CD178_eivissa_line32; CD178_eivissa_line33; CD178_eivissa_line34; CD178_eivissa_line35; CD178_eivissa_line36; CD178_eivissa_line37; CD178_eivissa_line38; CD178_eivissa_line39; CD178_eivissa_line40; CD178_eivissa_line41; CD178_eivissa_line42; CD178_eivissa_line43; CD178_eivissa_line44; CD178_eivissa_line45; CD178_eivissa_line46; CD178_eivissa_line47; CD178_eivissa_line48; CD178_eivissa_line49; CD178_eivissa_line50; CD178_eivissa_line51; CD178_eivissa_line52; CD178_eivissa_line53; CD178_eivissa_line54; CD178_eivissa_line55; CD178_eivissa_line56; CD178_eivissa_line57; CD178_eivissa_line58; CD178_eivissa_line59; CD178_eivissa_line60; CD178_eivissa_line61; CD178_eivissa_line62; CD178_eivissa_line63; CD178_eivissa_line64; CD178_eivissa_line65; CD178_eivissa_line66; CD178_eivissa_line67; CD178_eivissa_line68; CD178_eivissa_line69; CD178_eivissa_line70; CD178_eivissa_line71; CD178_eivissa_line72; CD178_eivissa_line73; CD178_eivissa_line74; CD178_eivissa_line75; CD178_eivissa_line76; CD178_eivissa_line77; CD178_eivissa_line78; CD178_eivissa_line79; CD178_eivissa_line80; CD178_eivissa_line81; CD178_eivissa_line82; CD178_eivissa_line83; CD178_eivissa_line84; CD178_eivissa_line85; Charles Darwin; Eivissa Channel; Event label; File content; geohazards; Geomorphology; HERMIONE; Hotspot Ecosystem Research and Mans Impact On European Seas; Latitude of event; Latitude of event 2; Longitude of event; Longitude of event 2; Mediterranean; P-Cable; P-Cable 3D seismic cube; sediment transport; seismic interpretation; Seismic reflection profile; SEISREFL; Spain; submarine landslide; tectonic geomorphology; Western Basin; Western Mediterranean; Western Mediterranean Sea
    Type: Dataset
    Format: text/tab-separated-values, 1884 data points
    Location Call Number Expected Availability
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  • 20
    Publication Date: 2024-07-04
    Description: The multibeam echo sounder (MBES) data was collected from the 03.02.2019 (09:44 UTC) to the 13.02.2019 (16:19 UTC) with the Kongsberg EM122 on RV SONNE during the transit from Suva (Fiji) to Manzanillo (Mexico) in the Pacific Ocean. The deep-water MBES EM122 operates with an acoustic frequency of 12 kHz and a beam opening angle of 0.5° x 1°. The raw and unprocessed bathymetric and backscatter data is stored in Kongsberg format (*.all), each containing up to 60 min of data. The therein included time, motion and position data (WGS84, geographic) was measured by the Kongsberg Seapath system on board. During the acquisition the echo sounder was monitored as well as settings and filter adjusted according to the environment. The transit speed was up to 13 knots. The swath opening angle was set to 70° resulting in a swath width of about 15 km in 3,000 m water depth. Further, high density and dual swath mode were used resulting in 2 x 432 beams per ping. As the data was collected during transit, no specific surveys were performed. No sound velocity profiles (SVPs) were measured during the cruise. In the beginning of data acquisition, an SVP from a previous cruise was used. On the 04.02.2019, a synthetic SVP extracted from he World Ocean Atlas 2009 from NOAA (Levitus, 2013) using the software "Sound Speed Manager" (developed by the UNH Center for Coastal and Ocean Mapping and NOAA Coast Survey Development Laboratory (CSDL)) was applied in the MBES acquisition software SIS. The SVP data is not part of this submission but can be extracted from the *.all files. The data was post-processed using the software QPS Qimera. No further SVP re-computation, navigation correction or tide correction was applied. Erroneous depth measurements were deleted manually by using the swath and slice editor. The vertical datum is mean sea level (MSL). The cleaned data was exported as bathymetric grids in a resolution of 100 m (geotiff format, projected coordinates WGS84/UTM zone 5S (EPSG: 32705)).
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Elevation, maximum; Elevation, minimum; File content; Horizontal datum; Horizontal datum, projection stored in file; KEM122; KONGSBERG EM122; Latitude, northbound; Latitude, southbound; Longitude, eastbound; Longitude, westbound; OceanLight; Pacific Ocean; Raster cell size; SO267/2; SO267/2_0_Underway-1; Sonne_2; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; UTM Zone, Universal Transverse Mercator; Vertical datum
    Type: Dataset
    Format: text/tab-separated-values, 187 data points
    Location Call Number Expected Availability
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  • 21
    Publication Date: 2024-07-04
    Description: The multibeam echo sounder (MBES) data was collected from the 03.02.2019 (09:44 UTC) to the 13.02.2019 (16:19 UTC) with the Kongsberg EM122 on RV SONNE during the transit from Suva (Fiji) to Manzanillo (Mexico) in the Pacific Ocean. The deep-water MBES EM122 operates with an acoustic frequency of 12 kHz and a beam opening angle of 0.5° x 1°. The raw and unprocessed bathymetric and backscatter data is stored in Kongsberg format (*.all), each containing up to 60 min of data. The therein included time, motion and position data (WGS84, geographic) was measured by the Kongsberg Seapath system on board. During the acquisition the echo sounder was monitored as well as settings and filter adjusted according to the environment. The transit speed was up to 13 knots. The swath opening angle was set to 70° resulting in a swath width of about 15 km in 3,000 m water depth. Further, high density and dual swath mode were used resulting in 2 x 432 beams per ping. As the data was collected during transit, no specific surveys were performed. No sound velocity profiles (SVPs) were measured during the cruise. In the beginning of data acquisition, an SVP from a previous cruise was used. On the 04.02.2019, a synthetic SVP extracted from he World Ocean Atlas 2009 from NOAA (Levitus, 2013) using the software "Sound Speed Manager" (developed by the UNH Center for Coastal and Ocean Mapping and NOAA Coast Survey Development Laboratory (CSDL)) was applied in the MBES acquisition software SIS. The SVP data is not part of this submission but can be extracted from the *.all files. The data was post-processed using the software QPS Qimera. No further SVP re-computation, navigation correction or tide correction was applied. Erroneous depth measurements were deleted manually by using the swath and slice editor. The vertical datum is mean sea level (MSL). The cleaned data was exported in gsf format.
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; Event label; File content; KEM122; KONGSBERG EM122; LATITUDE; LONGITUDE; Number of pings; OceanLight; Pacific Ocean; Ship speed; SO267/2; SO267/2_0_Underway-1; Sonne_2; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude
    Type: Dataset
    Format: text/tab-separated-values, 4352 data points
    Location Call Number Expected Availability
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  • 22
    Publication Date: 2024-07-04
    Description: The multibeam echo sounder (MBES) data was collected from the 03.02.2019 (09:44 UTC) to the 13.02.2019 (16:19 UTC) with the Kongsberg EM122 on RV SONNE during the transit from Suva (Fiji) to Manzanillo (Mexico) in the Pacific Ocean. The deep-water MBES EM122 operates with an acoustic frequency of 12 kHz and a beam opening angle of 0.5° x 1°. The raw and unprocessed bathymetric and backscatter data is stored in Kongsberg format (*.all), each containing up to 60 min of data. The therein included time, motion and position data (WGS84, geographic) was measured by the Kongsberg Seapath system on board. During the acquisition the echo sounder was monitored as well as settings and filter adjusted according to the environment. The transit speed was up to 13 knots. The swath opening angle was set to 70° resulting in a swath width of about 15 km in 3,000 m water depth. Further, high density and dual swath mode were used resulting in 2 x 432 beams per ping. As the data was collected during transit, no specific surveys were performed. No sound velocity profiles (SVPs) were measured during the cruise. In the beginning of data acquisition, an SVP from a previous cruise was used. On the 04.02.2019, a synthetic SVP extracted from he World Ocean Atlas 2009 from NOAA (Levitus, 2013) using the software "Sound Speed Manager" (developed by the UNH Center for Coastal and Ocean Mapping and NOAA Coast Survey Development Laboratory (CSDL)) was applied in the MBES acquisition software SIS. The SVP data is not part of this submission but can be extracted from the *.all files.
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; Event label; Extracted from file; Extracted with MB-System; File content; KEM122; Kongsberg datagram raw file name; KONGSBERG EM122; LATITUDE; LONGITUDE; Multibeam Echosounder; Number of pings; OceanLight; Ship speed; SO267/2; SO267/2_0_Underway-1; Sonne_2; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude
    Type: Dataset
    Format: text/tab-separated-values, 4608 data points
    Location Call Number Expected Availability
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  • 23
    Publication Date: 2024-07-04
    Description: To gain information on the physical parameters of deep water in the Northwest Atlantic, CTD measurements were taken during seven dives to the RMS Titanic wreck (front of bow approx. 41.7330181, -49.9460561; 3816 m water depth) and one dive to the Nargeolet-Fanning Ridge (approx. 41.5980514, -49.4386889; 2896 m water depth) during the OceanGate expedition aboard the AHTS Horizon Arctic, 15 June - 25 July 2022. The CTD measurements of the water column down to a maximum water depth of 3853 m were conducted using a Valeport MIDAS SVX2 6000 unit attached to the submersible Titan for the duration of each dive and provided standard data for conductivity, temperature, and pressure. Conductivity and temperature data were used to compute salinity.
    Keywords: Conductivity; CTD; CTD, Valeport, MIDAS SVX2 6000, mounted on submersible; CTD-MIDAS_SVX2-SUB; CTD profile; DATE/TIME; Deep sea; Density, sigma-theta (0); Depth; DEPTH, water; Doppler velocity log (DVL), Sonardyne, mounted on submersible; DVL_Sonardyne_SUB; Event label; Horizon Arctic (AHTS); iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; LATITUDE; LONGITUDE; Newfoundland; Northwest Atlantic; Number of observations; NW Atlantic; OceanGate; Pressure, water; Salinity; Sigma theta (calculated, using CTD salinity); Temperature; Temperature, water; Titan-2022-C2_0073; Titan-2022-C2_0075; Titan-2022-C2_0076; Titan-2022-C2_0079; Titan-2022-C2_0080; Titan-2022-C2_0081; Titan-2022-C2_0082; Titan-2022-C2_0083
    Type: Dataset
    Format: text/tab-separated-values, 1242327 data points
    Location Call Number Expected Availability
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  • 24
    Publication Date: 2024-07-04
    Description: This dataset contains a compilation of planktic foraminiferal d18O from sediment cores spanning the last deglaciation in the Southern Ocean. The compilation includes 4610 data points from 64 individual records. The dataset includes the original reference for the data, the name of the sediment core, the latitude (°N), longitude (°E), and water depth (m) at which the sediment core was taken, the sediment depth at which the d18O analysis was conducted (cm), the age of the sediment at which the d18O analysis was conducted (ka, using the age model given in the original publication), the foraminiferal species on which the d18O analysis was conducted, the measured d18O value (VPDB). The sediment cores in the compilation span 20 – 70°S across the Southern Ocean. The individual d18O records cover the last 30 ka. The d18O data were measured on N. pachyderma (np), G. bulloides (gb), and G. ruber (gr).
    Keywords: 177-1089; 177-1094; 20; 202-1233; 35MF20120125, OISO_21, INDIEN SUD 2; 64PE-174P13; AGE; AGSO Cruise 147; Amundsen Sea, continental rise (unnamed Marie Byrd Seamount); ANTIPROD; ANT-IV/3; ANT-V/4; ANT-VIII/3; APSARA2; APSARA4; Argentine Basin; Atka Bay; AUSCAN; BC; Box corer; Brazil Basin; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Calypso square corer; Calypso Square Core System; CASQ; CASQS; CDRILL; CHIPAL; COMPCORE; Composite Core; CONDOR-Ia; Core; CORE; Core drilling; DEPTH, sediment/rock; E11-2; Eastern Weddell Sea, Southern Ocean; East Pacific; ELEVATION; Event label; FR01/97; FR01/97-12; Franklin; GC; GeoB1028-5; GeoB2107-3; GeoB3302-1; GeoB3359-3; GeoB6201-5; GeoB6211-2; GeoB7165-1; GGC; Giant gravity corer; Giant piston corer; Giant piston corer (Calypso); GIK16160-3; GIK17747-2; GIK17748-2; GL1090; GL-1090; Globigerina bulloides, δ18O; Globigerinoides ruber, δ18O; GPC; GPC-C; Gravity corer; Gravity corer (Kiel type); Hikurangi margin; HOTLINE, HYGAPE; Identification; IMAGES II; IMAGES XV - Pachiderme; INMD; INMD-115BX; James Clark Ross; Joides Resolution; JR179; JR179-TC493; JR20080221; Kerguelen Plateau; KN159-5; Knorr; KNR159-5; KNR159-5-36GGC; LATITUDE; Leg177; Leg202; LONGITUDE; M23/2; M46/2; M6/6; M75/3; M75/3_137-3; Marion Dufresne (1972); Marion Dufresne (1995); MD00-2361; MD02-2488; MD02-2594; MD032611G; MD03-2611G; MD07-3076; MD07-3076Q; MD07-3082; MD07-3088; MD07-3100; MD07-3119; MD07-3128; MD104; MD105; MD12-3396Cq; MD12-3401; MD125; MD 125 / SWIFT BIS-CARHOT; MD128; MD131; MD159; MD189; MD38; MD80-304; MD84-527; MD84-551; MD88-769; MD88-770; MD94-103; MD96-2048; MD96-2080; MD962080, ABS; MD962094; MD96-2094; MD97-257; Melville; Meteor (1986); Meteor Rise; Neogloboquadrina pachyderma, δ18O; North West Cape, Western Australia; off Chile; Outer Walvis Ridge; P69; PC; PEGASE; Piston corer; Polarstern; PS08; PS08/374; PS10; PS10/816; PS1394-4; PS1506-1; PS16; PS16/311; PS1768-8; PUCK; RC11; RC1112; RC11-120; RC13; RC13-271; Reference/source; Rig Seismic; Robert Conrad; RR0503-125JPC; RR0503-79JPC; RR0503-87JPC; RS147; RS147-GC07; Sambesi Fan; Shona Ridge; SL; SO101; SO101/3_2-1; SO102/1; SO136; SO136_111GC-12; SO156/3; SO80_2; SO80_4; SO80a; Sonne; South Atlantic Ocean; South-East Pacific; Southern Agulhas Bank; Southern Ocean; South Indian Ocean; South Pacific; Southwest Pacific; Station 6, MD189-3396; Subantarctic Pacific Ocean; SWAF; TAN0803; TAN0803-09; TAN1106; TAN1106/34; TAN1106/43; Tangaroa; Tasman Sea; TASQWA; TC; TC493 CORE_NO 493; TN057-10; TN057-13-PC4; TN057-6; Trigger corer; Uniform resource locator/link to source data file; Walvis Ridge; Walvis Ridge, Southeast Atlantic Ocean; western South Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 17388 data points
    Location Call Number Expected Availability
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  • 25
    Publication Date: 2024-07-04
    Description: First- and second-year sea-ice thickness, draft, salinity, temperature, and density were measured during two ice stations on 24 October 2022 and 30 October 2022 during leg 1 of the GoNorth 2022 expedition. The ice cores were extracted with 7.25-cm (Mark III) internal diameter ice corers (Kovacs Enterprise, US). During each ice station, ice temperature was measured in situ from a separate temperature core, using Ebro TFX 410 Thermometer thermometers in drill holes with a length of half-core-diameter at 5 cm vertical resolution. Ice bulk practical salinity was measured from melted core sections at 5 cm resolution using a Mettler Toledo SevenGo conductivity meter. Sea ice density was measured using the hydrostatic weighing method (Pustogvar and Kulyakhtin, 2016) from several density cores in the freezer laboratory onboard RV Kronprins Haakon at the temperature from –10°C to –14°C. Relative volumes of brine and gas were estimated from ice salinity, temperature, and density using Cox and Weeks (1983) for cold ice and Leppäranta and Manninen (1988) for ice warmer than –2°C. This sea ice physics data was collected during leg 1 of the GoNorth 2022 scientific expedition on 14 October – 3 November 2022 (cruise number 2022713) on the RV Kronprins Haakon. The ice cores were collected at two ice stations (Station 6 and Super Station 14) located at 82°13.56' N and 26°41.43' E for the first and 82°31.05' N and 17°30.04' E for the second sea ice station in the area north of Svalbard. The data contains the event label (1), station (2), time (3), global coordinates (4,5) of each coring measurement, ice type (11), and sample ID (12). Each core has its manually measured ice thickness (6), ice draft (7), snow height (8), and local coordinates for each ice station (7,8). Each core section has the total length of its top (13) and bottom (14) measured in situ. Each core section has the value of its practical salinity (15), each core section of a temperature core has the value of its in situ temperature (16), and each core section of density cores has the value of its ice density (18). Each core section also has laboratory temperature (17), an estimate of brine volume fraction (19), and gas volume fraction (20).
    Keywords: 2022713, 2022-GEO-001; Arctic; Conductivity meter, Mettler Toledo, SevenGo; Core; cores; DATE/TIME; density; Density, ice; DEPTH, ice/snow; Distance, relative, X; Distance, relative, Y; Event label; GoNorth; GoNorth1; GoNorth1_14-DEN1; GoNorth1_14-DEN2; GoNorth1_14-DEN3; GoNorth1_14-DEN4; GoNorth1_14-DEN5; GoNorth1_14-DEN6; GoNorth1_14-DEN7; GoNorth1_14-DEN8; GoNorth1_14-DEN9; GoNorth1_14-SAL; GoNorth1_14-TEMP; GoNorth1_6-DEN1; GoNorth1_6-DEN2; GoNorth1_6-DEN4; GoNorth1_6-DEN5; GoNorth1_6-DEN6; GoNorth1_6-DEN7; GoNorth1_6-SAL; GoNorth1_6-TEMP; Hydrostatic weighing; Ice drilling corer (Kovacs); Kronprins Haakon; LATITUDE; LONGITUDE; Physical properties; Precision Core Thermometer, Ebro, TFX 410; Salinity; Sea ice; Sea ice draft; Sea ice salinity; Sea ice thickness; Sea ice type; Snow height; Station label; Temperature; Temperature, ice/snow; Temperature, technical; time-series; Volume, brine; Volume, gas
    Type: Dataset
    Format: text/tab-separated-values, 2945 data points
    Location Call Number Expected Availability
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  • 26
    facet.materialart.
    Unknown
    PANGAEA
    In:  University of Hamburg, Germany
    Publication Date: 2024-07-04
    Description: Raw data acquired by position sensors on board RV SONNE during expedition SO292 were processed to receive a validated master track which can be used as reference of further expedition data. During SO292 the motion reference unit Kongsberg SeaTex AS MRU-5 combined with Kongsberg SeaTex AS Seapath 320 and two GPS receivers SAAB MGL-4 were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
    Keywords: 1 sec resolution; CT; DAM_Underway; DAM Underway Research Data; ICECARB; SO292; SO292-track; Sonne_2; Underway cruise track measurements
    Type: Dataset
    Format: application/zip, 17.1 MBytes
    Location Call Number Expected Availability
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  • 27
    facet.materialart.
    Unknown
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Publication Date: 2024-07-04
    Description: Raw data acquired by position sensors on board RV METEOR during expedition M189 were processed to receive a validated master track which can be used as reference of further expedition data. During M189 the motion reference unit Kongsberg SeaTex AS MRU-5 combined with Kongsberg SeaTex AS Seapath 320 and two C and C Technologies GPS receivers C-NAV3050 were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
    Keywords: 1 sec resolution; BANINO; CT; DAM_Underway; DAM Underway Research Data; M189; M189-track; Meteor (1986); Underway cruise track measurements
    Type: Dataset
    Format: application/zip, 98.6 MBytes
    Location Call Number Expected Availability
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  • 28
    Publication Date: 2024-07-04
    Description: Here we present physico-chemical data collected during two research cruises conducted to and across the Ross Sea, Antarctica in the summer of 2018 (February-March) and 2019 (January-February). The dataset includes measurements of temperature, salinity, oxygen, par and transmissivity obtained with a Sea-Bird Electronics (SBE) 911plus CTD. The CTD sensor was configured with SBE 3plus, SBE 4, and SBE 43 dual sensors for the parameters above, in addition to a seapoint fluorescence sensor, and a photosynthetically active radiation (PAR) sensor (Biospherical Instruments QCP‐2300L‐HP). These data were used to provide oceanographic context to DNA metabarcoding analysis of 18S rRNA V4 region that was carried out on DNA samples collected in parallel to nutrient and chlorophyll-a samples. Fastq samples from DNA metabarcoding analysis and the associated metadata (including nutrients, Chlorophyll-a, and size-fractionated chlorophyll-a) were deposited to GenBank under project numbers PRJNA756172 (2018 cruise) and PRJNA974160 (2019 cruise). The study resulting from this analysis has been submitted to Limnology and Oceanography.
    Keywords: 61TG20180205; 8911; Antarctica; Attenuation, optical beam transmission; CTD, Sea-Bird, SBE 911plus; CTD, Sea-Bird, SBE 911plus; measured with conductivity sensor, SEA-BIRD SBE 4; CTD, Sea-Bird, SBE 911plus; measured with Dissolved oxygen sensor, Sea-Bird, SBE 43; CTD, Sea-Bird, SBE 911plus; measured with PAR sensor, Biospherical Instruments Inc., QCP‐2300L‐HP; CTD, Sea-Bird, SBE 911plus; measured with temperature sensor, SEA-BIRD SBE 3Plus; DATE/TIME; DEPTH, water; diatoms; Dinoflagellates; ELEVATION; Event label; Fluorescence; LATITUDE; LONGITUDE; Name; Oxygen; Phaeocystis antarctica; Phytoplankton; Radiation, photosynthetically active; Ross Sea; Salinity; Sample method; Seasonality; Station label; TAN1802_U8911; TAN1802_U8912; TAN1802_U8913; TAN1802_U8914; TAN1802_U8915; TAN1802_U8916; TAN1802_U8917; TAN1802_U8918; TAN1802_U8919; TAN1802_U8920; TAN1802_U8921; TAN1802_U8922; TAN1802_U8923; TAN1802_U8924; TAN1802_U8925; TAN1802_U8926; TAN1802_U8927; TAN1802_U8928; TAN1802_U8929; TAN1802_U8930; TAN1802_U8931; TAN1802_U8932; TAN1802_U8933; TAN1802_U8934; TAN1802_U8935; TAN1802_U8936; TAN1802_U8937; TAN1802_U8938; TAN1802_U8939; TAN1802_U8940; TAN1802_U8941; TAN1802_U8942; TAN1802_U8943; TAN1802_U8944; TAN1802_U8945; TAN1802_U8946; TAN1802_U8947; TAN1802_U8948; TAN1802_U8949; TAN1802_U8950; TAN1802_U8951; TAN1802_U8952; TAN1802_U8953; TAN1802_U8954; TAN1802_U8955; TAN1802_U8956; TAN1802, TAN1802_CTD; TAN1901; TAN1901_U9201; TAN1901_U9202; TAN1901_U9203; TAN1901_U9204; TAN1901_U9205; TAN1901_U9206; TAN1901_U9207; TAN1901_U9208; TAN1901_U9209; TAN1901_U9210; TAN1901_U9211; TAN1901_U9212; TAN1901_U9213; TAN1901_U9214; TAN1901_U9215; TAN1901_U9216; TAN1901_U9217; TAN1901_U9218; TAN1901_U9219; TAN1901_U9220; TAN1901_U9221; TAN1901_U9222; TAN1901_U9223; TAN1901_U9224; TAN1901_U9225; TAN1901_U9226; TAN1901_U9227; TAN1901_U9228; TAN1901_U9229; TAN1901_U9230; TAN1901_U9231; TAN1901_U9232; TAN1901_U9233; TAN1901CTD; Tangaroa; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 488789 data points
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  • 29
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    Unknown
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Publication Date: 2024-07-04
    Description: Raw data acquired by position sensors on board RV METEOR during expedition M189 were processed to receive a validated master track which can be used as reference of further expedition data. During M189 the motion reference unit Kongsberg SeaTex AS MRU-5 combined with Kongsberg SeaTex AS Seapath 320 and two C and C Technologies GPS receivers C-NAV3050 were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
    Keywords: BANINO; Calculated; Course; CT; DAM_Underway; DAM Underway Research Data; DATE/TIME; LATITUDE; LONGITUDE; M189; M189-track; Meteor (1986); Speed; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 7510 data points
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  • 30
    Publication Date: 2024-07-04
    Description: Raw multibeam bathymetry data were collected aboard RV METEOR during cruise M189 using a Kongsberg EM 122 multibeam echosounder. The expedition took place during 16.04.2023-13.05.2023 from Walvis Bay to Walvis Bay (Namibia) in the Central and Southern Atlantic Ocean. The main objective of M189 was to measure the variability of the circulation and the coastal upwelling off Angola and Namibia. Data were recorded within the Namibia and Angola EEZ. Sound velocity profiles (SVP) were applied on the data for calibration. Please see environmental data and the cruise report for details. The data are unprocessed and can therefore contain incorrect depth measurements (artifacts) if not further processed. Note that refraction errors may occur when no proper SVP is applied. Acquisition and provision of the data are part of the DAM Underway Project and published according to the FAIR principles.
    Keywords: BANINO; Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; EM122; EM122 multibeam echosounder; Event label; Extracted from file; Extracted with MB-System; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; M189; M189_0_Underway-3; Meteor (1986); Multibeam Echosounder; Number of pings; Ship speed; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude
    Type: Dataset
    Format: text/tab-separated-values, 17814 data points
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  • 31
    Publication Date: 2024-07-04
    Description: For stable O and C isotopes analysis, 25 planktonic and 10 benthic foraminifera of the species Globigerina bulloides and Cibicides pachyderma were picked primarily in the fraction 〉250 μm, and occasionally in the interval 150–250 μm, in 113 samples, at the IGME. The analyses were performed in a Finnigan MAT 252 mass spectrometer at Marum (University Bremen, Germany), coupled to an automated Kiel-carbonate preparation system. The long-term precision is ±0.07‰ for δ18O and ±0.05‰ for δ13C based on repeated analyses of internal and external (NBS-19) carbonate standards. The stable O and C ratios are expressed as δ in permil (‰), relative to Vienna Peedee Belemnite (VPDB) standard. Nine duplicated samples in TG2 give a standard deviation between 0.07 and 0.12‰.
    Keywords: AGE; Cibicidoides pachyderma, δ13C; Cibicidoides pachyderma, δ18O; contourites; Depth, relative; DEPTH, sediment/rock; GC; Globigerina bulloides, δ13C; Globigerina bulloides, δ18O; Gravity corer; Gulf of Cadiz; Heinrich Event 1; Hespérides; Mass spectrometer Finnigan MAT 252; Mediterranean outflow; MOW; MVSEIS08_TG-2; MVSEIS2008; Section; sortable silt; SST (foraminifera); stable oxygen and carbon isotopes; Younger Dryas
    Type: Dataset
    Format: text/tab-separated-values, 270 data points
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  • 32
    Publication Date: 2024-07-04
    Description: For stable O and C isotopes analysis, 25 planktonic and 10 benthic foraminifera of the species Globigerina bulloides and Cibicides pachyderma were picked primarily in the fraction 〉250 μm, and occasionally in the interval 150–250 μm, in 113 samples, at the IGME. The analyses were performed in a Finnigan MAT 252 mass spectrometer at Marum (University Bremen, Germany), coupled to an automated Kiel-carbonate preparation system. The long-term precision is ±0.07‰ for δ18O and ±0.05‰ for δ13C based on repeated analyses of internal and external (NBS-19) carbonate standards. The stable O and C ratios are expressed as δ in permil (‰), relative to Vienna Peedee Belemnite (VPDB) standard. Nine duplicated samples in TG2 give a standard deviation between 0.07 and 0.12‰.
    Keywords: AGE; Cibicidoides lobatulus, δ13C; Cibicidoides lobatulus, δ18O; Cibicidoides pachyderma, δ13C; Cibicidoides pachyderma, δ18O; CONTOURIBER-1; contourites; Depth, relative; DEPTH, sediment/rock; Event label; GC; GC-01A-PC; GC-01A-TC; Globigerina bulloides, δ13C; Globigerina bulloides, δ18O; Gravity corer; Gulf of Cadiz; Heinrich Event 1; Mass spectrometer Finnigan MAT 252; Mediterranean outflow; MOW; Sarmiento de Gamboa; Section; sortable silt; SST (foraminifera); stable oxygen and carbon isotopes; TC; Trigger corer; Younger Dryas
    Type: Dataset
    Format: text/tab-separated-values, 596 data points
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  • 33
    Publication Date: 2024-07-04
    Description: Organic matter was eliminated with 33% of hydrogen peroxide (H2O2) and carbonates removed with 0.2N hydrogen chloride (HCl). Then, samples were dispersed with 0.5% Na-hexametaphosphate (Calgon) and ultra-sonicated for 2 min. Prior to grain-size analysis in a Sedigraph Micromeritics III Plus, samples were homogenised by stirring in a magnetic plate for 30 min.
    Keywords: AGE; contourites; Depth, relative; DEPTH, sediment/rock; GC; Gravity corer; Gulf of Cadiz; Heinrich Event 1; Hespérides; Mediterranean outflow; Micromeritics Sedigraph III 5120 X-ray absorption sedimentation analyzer; MOW; MVSEIS08_TG-2; MVSEIS2008; Section; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 〉 0.063 mm, sand; Size fraction 〉 0.150 mm; Size fraction 〉 0.250 mm; Size fraction 0.150-0.063 mm; Size fraction 0.250-0.150 mm; sortable silt; SST (foraminifera); stable oxygen and carbon isotopes; Younger Dryas
    Type: Dataset
    Format: text/tab-separated-values, 264 data points
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  • 34
    Publication Date: 2024-07-04
    Description: Organic matter was eliminated with 33% of hydrogen peroxide (H2O2) and carbonates removed with 0.2N hydrogen chloride (HCl). Then, samples were dispersed with 0.5% Na-hexametaphosphate (Calgon) and ultra-sonicated for 2 min. Prior to grain-size analysis in a Sedigraph Micromeritics III Plus, samples were homogenised by stirring in a magnetic plate for 30 min.
    Keywords: AGE; CONTOURIBER-1; contourites; Depth, relative; DEPTH, sediment/rock; Event label; GC; GC-01A-PC; GC-01A-TC; Gravity corer; Gulf of Cadiz; Heinrich Event 1; Mediterranean outflow; Micromeritics Sedigraph III 5120 X-ray absorption sedimentation analyzer; MOW; Sarmiento de Gamboa; Section; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 〉 0.063 mm, sand; Size fraction 〉 0.150 mm; Size fraction 〉 0.250 mm; Size fraction 0.150-0.063 mm; Size fraction 0.250-0.150 mm; sortable silt; SST (foraminifera); stable oxygen and carbon isotopes; TC; Trigger corer; Younger Dryas
    Type: Dataset
    Format: text/tab-separated-values, 480 data points
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  • 35
    Publication Date: 2024-07-04
    Description: For sortable-silt 44 samples were analysed in the fraction 〈63 micron. In these, organic matter was eliminated with 33% of hydrogen peroxide (H2O2) and carbonates removed with 0.2N hydrogen chloride (HCl). Then, samples were dispersed with 0.5% Na-hexametaphosphate (Calgon) and ultra-sonicated for 2 minutes. Prior to grain-size analysis in a Sedigraph Micromeritics III Plus, samples were homogenised by stirring in a magnetic plate for 30 minutes. The grain-size distribution was acquired in the interval 10-63 micron, assumed to have non-cohesive behaviour during transport and deposition (McCave et al., 1995), at the IGME. The sortable silt mean of the carbonate-free 10-63 micron interval is designated as SS (McCave et al., 1995). The percentage of sortable silt (SS%), i.e. % (10-63 micron)/〈63 micron, is also a key parameter obtained from Sedigraph analyses. Dry-density required for the grain size distribution calculation was measured by using a pycnometer Micromeritics Accupy 1330.
    Keywords: AGE; contourites; DEPTH, sediment/rock; GC; Gravity corer; Gulf of Cadiz; Heinrich Event 1; Hespérides; Mediterranean outflow; Micromeritics Sedigraph III 5120 X-ray absorption sedimentation analyzer; MOW; MVSEIS08_TG-2; MVSEIS2008; Size fraction 0.016-0.010 mm; Size fraction 0.031-0.016 mm; Size fraction 0.063-0.010 mm, sortable silt; Size fraction 0.063-0.031 mm; sortable silt; SST (foraminifera); stable oxygen and carbon isotopes; Younger Dryas
    Type: Dataset
    Format: text/tab-separated-values, 220 data points
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  • 36
    Publication Date: 2024-07-04
    Description: For sortable-silt 83 samples were analysed in the fraction 〈63 micron. In these, organic matter was eliminated with 33% of hydrogen peroxide (H2O2) and carbonates removed with 0.2N hydrogen chloride (HCl). Then, samples were dispersed with 0.5% Na-hexametaphosphate (Calgon) and ultra-sonicated for 2 minutes. Prior to grain-size analysis in a Sedigraph Micromeritics III Plus, samples were homogenised by stirring in a magnetic plate for 30 minutes. The grain-size distribution was acquired in the interval 10-63 micron, assumed to have non-cohesive behaviour during transport and deposition (McCave et al., 1995), at the IGME. The sortable silt mean of the carbonate-free 10-63 micron interval is designated as SS (McCave et al., 1995). The percentage of sortable silt (SS%), i.e. % (10-63 micron)/〈63 micron, is also a key parameter obtained from Sedigraph analyses. Dry-density required for the grain size distribution calculation was measured by using a pycnometer Micromeritics Accupy 1330.
    Keywords: AGE; CONTOURIBER-1; contourites; Depth, bottom/max; Depth, relative; DEPTH, sediment/rock; Depth, top/min; Event label; GC; GC-01A-PC; GC-01A-TC; Gravity corer; Gulf of Cadiz; Heinrich Event 1; Mediterranean outflow; Micromeritics Sedigraph III 5120 X-ray absorption sedimentation analyzer; MOW; Sarmiento de Gamboa; Section; Size fraction 0.016-0.010 mm; Size fraction 0.031-0.016 mm; Size fraction 0.063-0.010 mm, sortable silt; Size fraction 0.063-0.031 mm; sortable silt; SST (foraminifera); stable oxygen and carbon isotopes; TC; Trigger corer; Younger Dryas
    Type: Dataset
    Format: text/tab-separated-values, 591 data points
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  • 37
    Publication Date: 2024-07-04
    Description: In this study, marine medaka were exposed to CO2-acidified seawater (440 ppm, 1000 ppm, and 1800 ppm CO2) for 2 h, 4 h, 24 h, and 7 d, respectively. To elucidate the response of the CRH system to ocean acidification, the location and relative quantification of Crh in the brain and gills after acute (2 h, 4 h, and 24 h) and short-term (7 d) exposure to acidification, as well as the relative quantification of genes associated with the CRH system, were investigated. This dataset is included in the OA-ICC data compilation maintained in the framework of the IAEA Ocean Acidification International Coordination Centre (see https://oa-icc.ipsl.fr). Original data were provided by the author of the related paper (see Related to) to the OA-ICC data curator. In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2024) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2024-06-05.
    Keywords: Alkalinity, total; Alkalinity, total, standard error; Animalia; Aragonite saturation state; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Cell number; Chordata; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gene expression; Gene expression (incl. proteomics); Gene name; Laboratory experiment; Laboratory strains; Nekton; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Oryzias melastigma; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Partial pressure of carbon dioxide (water) at sea surface temperature (wet air), standard error; Pelagos; pH; pH, standard error; Ratio; Salinity; Salinity, standard error; Single species; Species, unique identification; Temperature, water; Temperature, water, standard error; Time in hours; Treatment; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 9060 data points
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  • 38
    Publication Date: 2024-07-04
    Keywords: Age, 14C AMS; Age, 14C calibrated; Age, 14C milieu/reservoir corrected; Age, dated; Age, dated material; Age, dated standard deviation; Calendar age; Calendar age, standard deviation; CDRILL; Core drilling; DEPTH, sediment/rock; LaPAS-KF02; South Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 54 data points
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  • 39
    Publication Date: 2024-07-04
    Keywords: AGE; Artificial Neural Network Technique (ANN) (Malmgren and Nordlund, 1997); Calculated; CDRILL; Core drilling; Counting 〉150 µm fraction; DEPTH, sediment/rock; Foraminifera, benthic; Globigerinella calida; Globigerinoides ruber white, δ18O; Globorotalia inflata; Globorotalia menardii group; Globorotalia truncatulinoides dextral; LaPAS-KF02; Mass spectrometer Finnigan MAT 252; Neogloboquadrina dutertrei; Neogloboquadrina pachyderma dextral; Ostracoda; Sea surface salinity; Sea surface temperature, annual mean; Sea surface temperature, annual mean, standard deviation; Sea surface temperature, summer; Sea surface temperature, summer, standard deviation; Sea surface temperature, winter; Sea surface temperature, winter, standard deviation; South Atlantic; δ18O, ice volume effect; δ18O, reconstructed; δ18O, water
    Type: Dataset
    Format: text/tab-separated-values, 2222 data points
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  • 40
    Publication Date: 2024-07-04
    Keywords: 306-U1314; Accumulation rate, planktic foraminifera by number; AGE; COMPCORE; Composite Core; Counting 〉150 µm fraction; DEPTH, sediment/rock; Exp306; Foraminifera, planktic; Foraminifera, planktic, subtropical; Globigerina bulloides; Globigerinita glutinata; Globorotalia inflata; Globorotalia scitula; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Joides Resolution; Neogloboquadrina pachyderma dextral; Neogloboquadrina pachyderma sinistral; North Atlantic; North Atlantic Climate 2; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 3450 data points
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  • 41
    Publication Date: 2024-07-04
    Keywords: AGE; Cibicides wuellerstorfi, δ13C; DEPTH, sediment/rock; GL1090; GL-1090; Mass spectrometer Finnigan MAT 251; western South Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 379 data points
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  • 42
    Publication Date: 2024-07-04
    Keywords: AGE; DEPTH, sediment/rock; GL1090; GL-1090; Globigerinoides ruber, δ18O; Mass spectrometer Finnigan MAT 251; western South Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 810 data points
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  • 43
    Publication Date: 2024-07-04
    Keywords: AGE; Calculated from Mg/Ca ratios (Dekens et al. 2002); DEPTH, sediment/rock; Estimated (Mulitza et al. 2003); GL1090; GL-1090; Sea surface temperature, annual mean; western South Atlantic; δ18O, water
    Type: Dataset
    Format: text/tab-separated-values, 1150 data points
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  • 44
    Publication Date: 2024-07-04
    Keywords: Age, 14C AMS; Age, 14C calibrated, CALIB 7.0 with MARINE13 calibration curve (Reimer et al. 2013); Age, dated; Age, dated, range, maximum; Age, dated, range, minimum; Age, dated standard error; DEPTH, sediment/rock; GL1090; GL-1090; Laboratory code/label; western South Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
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  • 45
    Publication Date: 2024-07-04
    Keywords: AGE; Age, error; DEPTH, sediment/rock; Estimated; GL1090; GL-1090; Reference/source; Tie point; western South Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 38 data points
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  • 46
    Publication Date: 2024-07-04
    Keywords: AGE; DEPTH, sediment/rock; Foraminifera, benthic δ18O; GL1090; GL-1090; western South Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 438 data points
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  • 47
    Publication Date: 2024-07-04
    Keywords: DEPTH, sediment/rock; Globigerina bulloides; Globigerinoides ruber; Globorotalia inflata; Globorotalia menardii; Globorotalia truncatulinoides dextral; Globorotalia truncatulinoides sinistral; KF-H; Neogloboquadrina dutertrei; PC; Piston corer
    Type: Dataset
    Format: text/tab-separated-values, 280 data points
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  • 48
    Publication Date: 2024-07-04
    Keywords: DEPTH, sediment/rock; Globigerina bulloides; Globigerinoides ruber; Globorotalia inflata; Globorotalia menardii; Globorotalia truncatulinoides dextral; Globorotalia truncatulinoides sinistral; KF-I; Neogloboquadrina dutertrei; PC; Piston corer
    Type: Dataset
    Format: text/tab-separated-values, 301 data points
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  • 49
    Publication Date: 2024-07-04
    Keywords: Age, 14C AMS; Age, 14C calibrated, CALIB 7.0 with MARINE13 calibration curve (Reimer et al. 2013); Age, dated; Age, dated, range, maximum; Age, dated, range, minimum; Age, dated material; Age, dated standard deviation; Calendar age; Calendar age, standard deviation; DEPTH, sediment/rock; KF-I; Laboratory code/label; PC; Piston corer
    Type: Dataset
    Format: text/tab-separated-values, 40 data points
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  • 50
    Publication Date: 2024-07-04
    Keywords: Age, 14C AMS; Age, 14C calibrated, CALIB 7.0 with MARINE13 calibration curve (Reimer et al. 2013); Age, dated; Age, dated, range, maximum; Age, dated, range, minimum; Age, dated material; Age, dated standard deviation; Calendar age; Calendar age, standard deviation; DEPTH, sediment/rock; KF-H; Laboratory code/label; PC; Piston corer
    Type: Dataset
    Format: text/tab-separated-values, 16 data points
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