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  • 1
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    The puzzle of an allanite-like epidote mineral from Malmkärra, Sweden: Toward the new (OH)-analogue of dollaseite-(Ce). (2024)
    In:  Abstracts
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    Publication Date: 2024-06-10
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  • 2
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    The diversity of geochemical types of Erzgebirge granites and their potential of hosting uranium deposits: Comparison to the French Variscan district. (2023)
    In:  Proceedings
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    Publication Date: 2024-06-10
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  • 3
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    An unusual epidote supergroup mineral: A solid solution containing the new (OH)-analogue of dollaseite-(Ce). (2024)
    In:  Abstracts
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    Publication Date: 2024-06-10
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  • 4
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    Holocene hydroclimate variability of the Baltic region inferred from stable isotopes, d-excess and multi-proxy data at lake Nuudsaku, Estonia (NE Europe) (2024)
    In:  Quaternary Science Reviews
    Details
    Publication Date: 2024-06-10
    Description: Long-term hydroclimate records provide an opportunity to understand potential drivers of the past, and give context to modern and future climate warming. A wide variety of proxy data now allow for reconstruction of climate variables that were not previously possible. Here we present a multi-proxy dataset including n-alkane δ2H (δ2Hn-alk) values from an open-basin lake in Estonia to reconstruct past hydroclimate conditions for the eastern Baltic region. We complement our sedimentary δ2Hn-alk data with existing carbonate-based oxygen stable isotope (δ18O) data to derive deuterium (d-) excess. We present multiple isotopic records and reconstructed relative humidity (ΔRH) values over the Holocene, and link these with modern precipitation δ2H and δ18O values to guide the interpretation of the paleo-proxies. Fossil pollen and chironomid-based temperature reconstructions, as well as biogeochemical data provide additional information for inferring past environmental changes. Our results indicate that the middle Holocene in Estonia had on average 6 ± 3% higher RH values than the late Holocene. The δ18O and δ2H values were also higher during the middle Holocene, which we interpret as increased warm season precipitation. Our reconstructed d-excess values were relatively higher during the middle Holocene, indicating a more northerly or cold source water origin, in comparison to the late Holocene. In addition to the paleoclimatic significance, our results show how multiple quantitative proxies can be combined to characterize hydroclimate sensitivity to changes in relative humidity, temperature and moisture source.
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  • 5
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    Multi-disciplinary monitoring of the Ketzin CO 2 pilot site as successful concept for storage integrity assessment (2024)
    In:  Extended Abstracts
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    Publication Date: 2024-06-10
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  • 6
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    Probing the stability of SrIrO3during active water electrolysisvia operandoatomic force microscopy (2023)
    In:  Energy and Environmental Science
    Details
    Publication Date: 2024-06-10
    Description: Mechanistic studies of oxide electrocatalysts for heterogeneous water oxidation have been primarily focused on understanding the origins of activity, with fewer studies addressing fundamental properties that influence stability. The main challenge is directly observing and quantifying local structural instability under operating conditions. In this work, we provide a dynamic view of the perovskite stability as a function of time and operational voltage using operando electrochemical atomic force microscopy (EC-AFM). Specifically, we study the degradation pathways of SrIrO3, a highly active electrocatalyst, during the oxygen evolution reaction (OER) by tracking the potential-dependent Sr leaching and perovskite dissolution at the nanometer scale. This material serves as a model system for degradation studies of perovskite AMO3 oxides, exhibiting both A-cation leaching and transition metal (M) dissolution. We show that Sr leaching precedes perovskite dissolution by up to 0.8 V, leading to a wide voltage window of stability where water oxidation occurs on a Sr-depleted surface without significant corrosion. Moreover, we reveal that the stability of the perovskite surface is strongly influenced by the electrolytic environment and that corrosion rates differ dramatically as a function of dissolved Sr concentration. Ultimately, our study demonstrates that the overall stability of perovskite oxides during electrocatalysis can be substantially improved by suppressing A-site leaching.
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  • 7
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    Compressibility and thermal expansion of magnesium phosphates (2024)
    In:  European Journal of Mineralogy
    Details
    Publication Date: 2024-06-10
    Description: The ambient-temperature compressibility and room-pressure thermal expansion of two Mg3(PO4)2 polymorphs (farringtonite=Mg3(PO4)2-I, with 5- and 6-fold coordinated Mg, and chopinite=“Mgsarcopside”=[6]Mg3(PO4)2-II), three Mg2PO4OH polymorphs (althausite, hydroxylwagnerite and ɛ- Mg2PO4OH, all with [5]Mg and [6]Mg) and phosphoellenbergerite ([6]Mg) were measured on synthetic powders using a synchrotron-based multi-anvil apparatus to 5.5 GPa and a laboratory high-temperature diffractometer, with whole-pattern fitting procedures. Bulk moduli range from 64.5 GPa for althausite to 88.4 GPa for hydroxylwagnerite, the high-pressure Mg2PO4OH polymorph. Chopinite, based on an olivine structure with ordered octahedral vacancies (K0=81.6 GPa), and phosphoellenbergerite, composed of chains of face-sharing octahedra (K0=86.4 GPa), are distinctly more compressible than their homeotypical silicate (127 and 133 GPa, respectively). The compressibility anisotropy is the highest for chopinite and the lowest for phosphoellenbergerite. First-order parameters of quadratic thermal expansions range from v1=2.19x10-5K-1 for ɛ-Mg2PO4OH to v1=3.58x10-5K-1 for althausite. Phosphates have higher thermal-expansion coefficients than the homeotypical silicates. Thermal anisotropy is the highest for farringtonite and the lowest for hydroxylwagnerite and chopinite. These results set the stage for a thermodynamic handling of phase-equilibrium data obtained up to 3 GPa and 1000°C in the MgO–P2O5–H2O and MgO–Al2O3–P2O5–H2O systems.
    Language: English
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  • 8
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    Transition from a mixotrophic/heterotrophic protist community during the dark winter to a photoautotrophic spring community in surface waters of Disko Bay, Greenland (2024)
    In:  Frontiers in Microbiology
    Details
    Publication Date: 2024-06-10
    Description: Unicellular eukaryotic plankton communities (protists) are the major basis of the marine food web. The spring bloom is especially important, because of its high biomass. However, it is poorly described how the protist community composition in Arctic surface waters develops from winter to spring. We show that mixotrophic and parasitic organisms are prominent in the dark winter period. The transition period toward the spring bloom event was characterized by a high relative abundance of mixotrophic dinoflagellates, while centric diatoms and the haptophyte Phaeocystis pouchetii dominated the successive phototrophic spring bloom event during the study. The data shows a continuous community shift from winter to spring, and not just a dormant spring community waiting for the right environmental conditions. The spring bloom initiation commenced while sea ice was still scattering and absorbing the sunlight, inhibiting its penetration into the water column. The initial increase in fluorescence was detected relatively deep in the water column at ~55 m depth at the halocline, at which the photosynthetic cells accumulated, while a thick layer of snow and sea ice was still obstructing sunlight penetration of the surface water. This suggests that water column stratification and a complex interplay of abiotic factors eventually promote the spring bloom initiation.
    Language: English
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  • 9
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    3D shear wave velocity imaging of the subsurface structure of granite rocks in the arid climate of Pan de Azúcar, Chile, revealed by Bayesian inversion of HVSR curves (2024)
    In:  Earth Surface Dynamics
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    Publication Date: 2024-06-10
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  • 10
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    An Estimate of the Effect of 3D Heterogeneous Density Distribution on Coseismic Deformation Using a Spectral Finite-Element Approach (2024)
    In:  X Hotine-Marussi Symposium on Mathematical Geodesy: Proceedings of the Symposium in Milan, Italy, June 13-17, 2022 | International Association of Geodesy Symposia
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    Publication Date: 2024-06-10
    Description: The advancement of the Global Geodetic Observing System (GGOS) has enabled monitoring of mass transport and solid-Earth deformation processes with unprecedented accuracy. Coseismic deformation is modelled as an elastic response of the solid Earth to an internal dislocation. Self-gravitating spherical Earth models can be employed in modelling regional to global scale deformations. Recent seismic tomography and high-pressure/high-temperature experiments have revealed finer-scale lateral heterogeneities in the elasticity and density structures within the Earth, which motivates us to quantify the effects of such finer structures on coseismic deformation. To achieve this, fully numerical approaches including the Finite Element Method (FEM) have often been used. In our previous study, we presented a spectral FEM, combined with an iterative perturbation method, to consider lateral heterogeneities in the bulk and shear moduli for surface loading. The distinct feature of this approach is that the deformation of the entire sphere is modelled in the spectral domain with finite elements dependent only on the radial coordinate. By this, self-gravitation can be treated without special treatments employed when using an ordinary FEM. In this study, we extend the formulation so that it can deal with lateral heterogeneities in density in the case of coseismic deformation. We apply this approach to a longer-wavelength vertical deformation due to a large earthquake. The result shows that the deformation for a laterally heterogeneous density distribution is suppressed mainly where the density is larger, which is consistent with the fact that self-gravitation reduces longer-wavelength deformations for 1-D models. The effect on the vertical displacement is relatively small, but the effect on the gravity change could amount to the same order of magnitude of a given heterogeneity if the horizontal scale of the heterogeneity is large enough.
    Language: English
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  • 11
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    Variation of Fault Creep Along the Overdue Istanbul-Marmara Seismic Gap in NW Turkey (2023)
    In:  Geophysical Research Letters
    Details
    Publication Date: 2024-06-10
    Description: Strain energy from tectonic loading can be partly released through aseismic creep. Earthquake repeaters, repeatedly activated brittle fault patches surrounded by creep, indicate steady-state creep that affects the amount of seismic energy available for the next large earthquake along a plate contact. The offshore Main Marmara Fault (MMF) of the North Anatolian Fault Zone represents a seismic gap capable of generating a M 〉 7 earthquake in direct vicinity to the mega-city Istanbul. Based on a newly compiled seismicity catalog, we identify repeating earthquakes to resolve the spatial creep variability along the MMF during a 15-year period. We observe a maximum of seismic repeaters indicating creep along the central and western MMF segments tapering off toward the locked onshore Ganos fault in the west, and the locked offshore Princes Islands segment immediately south of Istanbul in the east. This indicates a high degree of spatial creep variability along the Istanbul-Marmara seismic gap.
    Language: English
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  • 12
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    Das Norddeutsche Becken als Teil des Zentraleuropäischen Beckensystems (CEBS): strukturelle Entwicklung und thermisches Feld (2024)
    In:  Brandenburgische Geowissenschaftliche Beiträge
    Details
    Publication Date: 2024-06-10
    Description: Das Zentraleuropäische Beckensystem (Central Euro- pean Basin System CEBS; Abb. 1) erstreckt sich von der südlichen Nordsee bis Polen und ist ein Gebiet mit ei- ner außergewöhnlich guten Abdeckung an geologischen und geophysikalischen Daten, die sowohl aus der Koh- lenwasserstoffexploration als auch von wissenschaftli- chen Forschungsprogrammen stammen. Der öffentlich zugängliche Teil dieser Daten wurde genutzt, um ein re- gionales, lithosphärenskaliges 3D-Strukturmodell zu erstellen (Maystrenko & Scheck-Wenderoth 2013; Scheck-Wenderoth & Maystrenko 2013; Maystrenko, Bayer & Scheck-Wenderoth 2013). Dafür wurden iterati- ve Workflows entwickelt, um geologische Beobachtungen, wie z. B. Bohrlochmessungen, seismologische, seismische und Schwerefelddaten, in ein konsistentes dreidimensi- onales geologisches Strukturmodell zu integrieren. Eine Schlüsselmethode in diesem Datenintegrationsprozess ist die 3D-Schweremodellierung (Anikiev et al. 2023). Da- bei werden Dichten von seismischen Geschwindigkeiten in Tiefenprofilen oder seismischen Tomographiestudien abgeleitet und die aus der Dichteverteilung resultierende Schwerewirkung berechnet. In einem iterativen Prozess wird die berechnete Schwere an die Beobachtungsdaten angepasst. Das ermöglicht uns, selbst die tiefsten Krusten- und Manteltiefen zu erforschen. Das so erstellte 3D-Modell ist in zweierlei Hinsicht nützlich: Erstens bildet die Mäch- tigkeitsverteilung der erhaltenen geologischen Einheiten die mehr als 300 Millionen Jahre währende Absenkungs- geschichte und die damit verbundenen Deformationspha- sen ab. Zweitens kann das Modell als Grundlage für die Simulation von Wärme- und Fluidtransportprozessen im Untergrund verwendet werden, um z. B. das heutige tiefe Temperaturfeld zu berechnen. Die hier dargestellte Zusam- menfassung mehrerer Arbeiten der letzten Jahre setzt die tiefe Struktur in Beziehung zur Entwicklung und zum heu- tigen tiefen Temperaturfeld.
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  • 13
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    Fifteen Years of Integrated Terrestrial Environmental Observatories (TERENO) in Germany: Functions, Services, and Lessons Learned (2024)
    In:  Earth's Future
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    Publication Date: 2024-06-10
    Description: The need to develop and provide integrated observation systems to better understand and manage global and regional environmental change is one of the major challenges facing Earth system science today. In 2008, the German Helmholtz Association took up this challenge and launched the German research infrastructure TERrestrial ENvironmental Observatories (TERENO). The aim of TERENO is the establishment and maintenance of a network of observatories as a basis for an interdisciplinary and long-term research program to investigate the effects of global environmental change on terrestrial ecosystems and their socio-economic consequences. State-of-the-art methods from the field of environmental monitoring, geophysics, remote sensing, and modeling are used to record and analyze states and fluxes in different environmental disciplines from groundwater through the vadose zone, surface water, and biosphere, up to the lower atmosphere. Over the past 15 years we have collectively gained experience in operating a long-term observing network, thereby overcoming unexpected operational and institutional challenges, exceeding expectations, and facilitating new research. Today, the TERENO network is a key pillar for environmental modeling and forecasting in Germany, an information hub for practitioners and policy stakeholders in agriculture, forestry, and water management at regional to national levels, a nucleus for international collaboration, academic training and scientific outreach, an important anchor for large-scale experiments, and a trigger for methodological innovation and technological progress. This article describes TERENO's key services and functions, presents the main lessons learned from this 15-year effort, and emphasizes the need to continue long-term integrated environmental monitoring programmes in the future.
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  • 14
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    Magnetotelluric images of the medium enthalpy Bakreswar geothermal province within a granitic gneissic complex, Eastern Indian Peninsula (2024)
    In:  Geophysical Prospecting
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    Publication Date: 2024-06-10
    Description: The Bakreswar geothermal province represents a medium enthalpy geothermal system with its Bakreswar and Tantloie hot springs. It lies within the Chotanagpur Granite Gneissic Complex in the eastern part of the Indian Peninsula. The province has a high heat flow and a high geothermal gradient of 90°C/km. Magnetotelluric data from 95 sites in a frequency range of 10 kHz–10 Hz were acquired over the Bakreswar geothermal province to obtain an electrical conductivity model and map the geothermal reservoir with its fluid pathways and related geological structures. Subsurface conductivity models obtained from three-dimensional inversions of the Magnetotelluric data exhibit several prominent anomalies, which are supplemented by gravity results. The conductivity model maps three features which act as a conduit (a) a northwest–southeast trending feature, (b) an east–west trending feature to the south of the northwest–southeast trending feature (which lies 1 km north of the Oil and Natural Gas Corporation fault marked by previous studies) and (c) shallow conducting features close to Bakreswar hot spring. The northwest–southeast trending feature coincides with the boundary of the high-density intrusive block. This northwest–southeast trending feature provides the pathway for the meteoric water to reach a maximum depth of 2.7 km, where it gets heated by interacting with deep-seated structures and then it rises towards the surface. The radiogenic process occurring within the granites of Chotanagpur Granite Gneissic Complex provides the heat responsible for heating the meteoric water. The northwest–southeast and east–west trending features are responsible for the transport of meteoric water to deeper depths and then towards the shallow regions of the Earth. The near surface features close to the Bakreswar hot spring are responsible for carrying the water further towards the hot spring. The resistivity of these structures plotted as a function of salinity and temperatures for saline crustal fluids suggests the involvement of meteoric water. Further, applying Archie's law to this resistivity suggests that the conduit path has a porosity greater than 10%. This study successfully maps the anomalous structures which might foster the migration of geothermal fluid in Bakreswar geothermal province.
    Language: English
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  • 15
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    Physical oceanography during POLARSTERN cruise ARK-XXVI/1 (2012)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-10
    Keywords: ARK-XXVI/1; Attenuation, optical beam transmission; AWI_PhyOce; Calculated; Computed; Conductivity; CTD, SEA-BIRD SBE 911plus, SN T1373-C3590; CTD/Rosette; CTD-RO; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; Fluorometer; Fluorometer, Dr. Haardt Instruments; Latitude of event; Longitude of event; North Greenland Sea; Norwegian Sea; Number of observations; Oxygen; Oxygen saturation; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS78; PS78/002-1; PS78/003-1; PS78/009-1; PS78/010-1; PS78/011-1; PS78/012-1; PS78/013-1; PS78/014-1; PS78/019-6; PS78/020-1; PS78/021-1; PS78/022-1; PS78/023-1; PS78/024-1; PS78/025-1; PS78/029-1; PS78/030-1; PS78/031-1; PS78/032-1; PS78/033-1; PS78/034-1; PS78/035-1; PS78/036-1; PS78/037-1; PS78/038-1; PS78/039-1; PS78/040-1; PS78/041-1; PS78/042-1; PS78/043-1; PS78/044-1; PS78/047-1; PS78/048-1; PS78/049-1; PS78/050-1; PS78/051-1; PS78/054-1; PS78/055-1; PS78/056-1; PS78/057-1; PS78/059-1; PS78/060-1; PS78/061-1; PS78/062-1; PS78/063-1; PS78/064-1; PS78/065-1; PS78/066-1; PS78/067-1; PS78/068-1; PS78/069-1; PS78/070-1; PS78/071-1; PS78/072-1; PS78/073-1; PS78/074-1; PS78/075-1; PS78/076-1; PS78/077-1; PS78/078-1; PS78/084-1; PS78/085-1; PS78/087-1; PS78/088-1; PS78/089-1; PS78/092-1; PS78/093-1; PS78/094-1; PS78/095-1; PS78/096-1; PS78/097-1; PS78/098-1; PS78/099-1; PS78/100-1; PS78/101-1; PS78/102-2; PS78/103-1; PS78/104-1; PS78/105-1; PS78/106-1; PS78/107-1; PS78/108-1; PS78/109-1; PS78/110-1; PS78/111-1; PS78/112-1; PS78/113-1; PS78/114-1; PS78/115-1; PS78/116-1; PS78/117-1; PS78/118-1; PS78/119-1; PS78/120-1; PS78/121-1; PS78/122-1; PS78/123-1; PS78/124-1; PS78/125-1; PS78/126-1; PS78/127-2; PS78/130-1; PS78/131-1; PS78/132-1; PS78/133-1; PS78/134-1; PS78/135-1; PS78/136-2; PS78/137-1; Salinity; Temperature, water; Temperature, water, potential
    Type: Dataset
    Format: text/tab-separated-values, 1792889 data points
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  • 16
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    Number and biovolume of particles, as well as aggregate, phytoplankton and zooplankton biovolume measured with an underwater vision profiler 5 (UVP5) during METEOR cruise M96 (2015)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD/Rosette; CTD 10; CTD 11; CTD 12; CTD 13; CTD 14; CTD 15; CTD 16; CTD 17; CTD 18; CTD 19; CTD 20; CTD 22; CTD 24; CTD 25; CTD 26; CTD 27; CTD 28; CTD 29; CTD 3; CTD 30; CTD 31; CTD 32; CTD 33; CTD 34; CTD 35; CTD 36; CTD 37; CTD 38; CTD 4; CTD 40; CTD 42; CTD 43; CTD 44; CTD 46; CTD 47; CTD 48; CTD 49; CTD 5; CTD 50; CTD 51; CTD 52; CTD 53; CTD 54; CTD 55; CTD 56; CTD 57; CTD 58; CTD 59; CTD 6; CTD 60; CTD 61; CTD 62; CTD 63; CTD 64; CTD 65; CTD 66; CTD 7; CTD 8; CTD 9; CTD-RO; DATE/TIME; Event label; Image number/name; Individuals per unit volume; M96; M96_1004-1; M96_1012-1; M96_1020-1; M96_1026-1; M96_1034-1; M96_1040-1; M96_1047-1; M96_1054-1; M96_1061-1; M96_1067-1; M96_1084-1; M96_1085-1; M96_622-1; M96_626-1; M96_629-1; M96_632-1; M96_636-1; M96_637-1; M96_640-1; M96_649-1; M96_650-1; M96_654-1; M96_660-1; M96_670-1; M96_680-1; M96_681-1; M96_692-1; M96_701-1; M96_712-1; M96_722-1; M96_728-1; M96_755-1; M96_769-1; M96_777-1; M96_785-1; M96_793-1; M96_800-1; M96_808-1; M96_814-1; M96_823-1; M96_830-1; M96_839-1; M96_847-1; M96_855-1; M96_863-1; M96_871-1; M96_872-1; M96_887-1; M96_905-1; M96_913-1; M96_920-1; M96_937-1; M96_945-1; M96_954-1; M96_962-1; M96_970-1; M96_979-1; M96_985-1; M96_990-1; M96_998-1; Meteor (1986); Particle concentration, fractionated; Particle volume, fractionated; Pressure, water; Profile ID; Sample code/label; Sample elevation; SFB754; Volume
    Type: Dataset
    Format: text/tab-separated-values, 4616044 data points
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  • 17
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    Processed CO2/O2 Float data from 4 deployments near Cape Verde Island (11/2010 - 06/2011) (2013)
    PANGAEA
    In:  Supplement to: Fiedler, Björn; Fietzek, Peer; Vieira, Nuno; Silva, Pericles; Bittig, Henry; Körtzinger, Arne (2013): In Situ CO2 and O2 Measurements on a Profiling Float. Journal of Atmospheric and Oceanic Technology, 30(1), 112-126, https://doi.org/10.1175/JTECH-D-12-00043.1
    Details
    Publication Date: 2024-06-10
    Description: In recent years, profiling floats, which form the basis of the successful international Argo observatory, are also being considered as platforms for marine biogeochemical research. This study showcases the utility of floats as a novel tool for combined gas measurements of CO2 partial pressure (pCO2) and O2. These float prototypes were equipped with a small-sized and submersible pCO2 sensor and an optode O2 sensor for highresolution measurements in the surface ocean layer. Four consecutive deployments were carried out during November 2010 and June 2011 near the Cape Verde Ocean Observatory (CVOO) in the eastern tropical North Atlantic. The profiling float performed upcasts every 31 h while measuring pCO2, O2, salinity, temperature, and hydrostatic pressure in the upper 200 m of the water column. To maintain accuracy, regular pCO2 sensor zeroings at depth and surface, as well as optode measurements in air, were performed for each profile. Through the application of data processing procedures (e.g., time-lag correction), accuracies of floatborne pCO2 measurements were greatly improved (10-15 µatm for the water column and 5 µatm for surface measurements). O2 measurements yielded an accuracy of 2 µmol/kg. First results of this pilot study show the possibility of using profiling floats as a platform for detailed and unattended observations of the marine carbon and oxygen cycle dynamics.
    Keywords: Carbon dioxide, partial pressure; CVOO Floater; DATE/TIME; deployment_d4; deployment_d5; deployment_d6; deployment_d7; DEPTH, water; Event label; LATITUDE; LONGITUDE; Nemo float; NFLOAT; off Cape Verde Islands; Oxygen; Pressure, water; Profile ID; Salinity; SOPRAN; Surface Ocean Processes in the Anthropocene; Temperature, water
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    Format: text/tab-separated-values, 509900 data points
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  • 18
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    Hydrochemistry of water samples during METEOR cruise M105 (2016)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: 10; 100; 101; 102; 103; 104; 105; 106; 107; 108; 109; 11; 110; 111; 112; 113; 114; 115; 116; 117; 118; 119; 12; 120; 121; 122; 123; 124; 125; 126; 127; 128; 129; 13; 130; 131; 132; 133; 134; 135; 136; 137; 138; 139; 14; 140; 141; 142; 143; 144; 145; 146; 147; 148; 149; 15; 150; 151; 152; 153; 154; 155; 156; 157; 158; 159; 16; 160; 17; 18; 19; 20; 21; 22; 23; 24; 25; 26; 27; 28; 29; 3; 30; 31; 32; 33; 34; 35; 36; 37; 38; 39; 4; 40; 41; 42; 43; 44; 45; 46; 47; 48; 49; 5; 50; 51; 52; 53; 54; 55; 56; 57; 58; 59; 6; 60; 61; 62; 63; 64; 65; 66; 67; 68; 69; 7; 70; 71; 72; 73; 74; 75; 76; 77; 78; 79; 8; 80; 81; 82; 83; 84; 85; 86; 87; 88; 89; 9; 90; 91; 92; 93; 94; 95; 96; 97; 98; 99; Ammonium; Bottle number; Cape Verde; Carbon, organic, particulate; Chlorophyll a; Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Event label; Flag; Fluorescence; Freon-12 (dichlorodifluoromethane); LATITUDE; LONGITUDE; M105; M105_180-1; M105_181-1; M105_182-1; M105_183-1; M105_184-1; M105_185-1; M105_186-1; M105_186-3; M105_187-1; M105_188-1; M105_189-1; M105_190-1; M105_190-3; M105_191-2; M105_192-2; M105_192-3; M105_194-2; M105_195-1; M105_196-1; M105_197-1; M105_198-1; M105_199-1; M105_200-1; M105_201-1; M105_201-3; M105_201-5; M105_202-1; M105_203-1; M105_205-1; M105_206-1; M105_207-2; M105_208-1; M105_209-1; M105_209-3; M105_210-1; M105_211-1; M105_211-3; M105_212-1; M105_213-1; M105_213-2; M105_214-1; M105_215-1; M105_216-1; M105_217-1; M105_218-1; M105_219-1; M105_220-1; M105_221-1; M105_222-1; M105_223-2; M105_224-1; M105_225-2; M105_226-1; M105_227-1; M105_228-1; M105_229-1; M105_230-1; M105_231-1; M105_232-1; M105_232-3; M105_233-1; M105_234-1; M105_235-1; M105_236-1; M105_237-1; M105_238-1; M105_238-3; M105_239-1; M105_240-1; M105_241-1; M105_242-1; M105_243-1; M105_244-1; M105_245-1; M105_246-1; M105_246-3; M105_247-1; M105_248-1; M105_249-1; M105_250-2; M105_251-1; M105_252-1; M105_253-1; M105_254-1; M105_255-1; M105_255-3; M105_256-1; M105_257-1; M105_258-1; M105_259-1; M105_259-3; M105_260-1; M105_261-1; M105_262-1; M105_263-1; M105_264-1; M105_265-1; M105_265-3; M105_266-1; M105_267-1; M105_268-1; M105_269-1; M105_270-1; M105_271-1; M105_272-1; M105_273-1; M105_273-3; M105_274-1; M105_275-1; M105_276-1; M105_277-1; M105_278-1; M105_279-1; M105_280-1; M105_281-1; M105_281-3; M105_282-1; M105_283-1; M105_284-1; M105_285-1; M105_286-4; M105_287-1; M105_288-1; M105_289-1; M105_290-1; M105_291-1; M105_292-1; M105_293-1; M105_294-1; M105_295-1; M105_296-1; M105_296-3; M105_297-1; M105_298-1; M105_299-1; M105_299-3; M105_300-1; M105_301-1; M105_302-2; M105_303-1; M105_304-1; M105_305-1; M105_306-1; M105_307-1; M105_308-1; M105_309-1; M105_310-1; M105_310-3; M105_311-1; M105_312-2; M105_313-1; M105_314-2; M105_315-1; M105_316-1; M105_317-1; M105_318-2; M105_319-1; M105_320-2; Meteor (1986); Nitrate and Nitrite; Nitrogen, organic, particulate; Oxygen; Phosphate; Phosphorus, organic, particulate; Pressure, water; Profile ID; Salinity; Sample code/label; SFB754; Silicate; Station label; Sulfur hexafluoride, SF6; Temperature, water; Trifluoromethyl sulfur pentafluoride
    Type: Dataset
    Format: text/tab-separated-values, 51182 data points
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  • 19
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    Hydrochemistry of water samples during METEOR cruise M116/1 (2018)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: Alkalinity, total; Bottle number; Carbon, inorganic, dissolved; Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD; CTD/Rosette; CTD 1; CTD 10; CTD 11; CTD 12; CTD 13; CTD 14; CTD 15; CTD 16; CTD 17; CTD 18; CTD 19; CTD 2; CTD 20; CTD 21; CTD 22; CTD 23; CTD 24; CTD 25; CTD 26; CTD 27; CTD 28; CTD 29; CTD 3; CTD 30; CTD 31; CTD 32; CTD 33; CTD 34; CTD 35; CTD 36; CTD 37; CTD 38; CTD 39; CTD 4; CTD 40; CTD 41; CTD 42; CTD 43; CTD 44; CTD 45; CTD 46; CTD 47; CTD 48; CTD 49; CTD 5; CTD 50; CTD 51; CTD 52; CTD 53; CTD 54; CTD 55; CTD 56; CTD 57; CTD 58; CTD 59; CTD 6; CTD 60; CTD 61; CTD 62; CTD 63; CTD 64; CTD 65; CTD 66; CTD 67; CTD 68; CTD 69; CTD 7; CTD 70; CTD 71; CTD 72; CTD 74; CTD 75; CTD 76; CTD 77; CTD 78; CTD 79; CTD 8; CTD 81; CTD 82; CTD 9; CTD-RO; DATE/TIME; Event label; Flag; Freon-12 (dichlorodifluoromethane); LATITUDE; LONGITUDE; M116/1; M116/1_473-1; M116/1_475-1; M116/1_476-1; M116/1_477-1; M116/1_478-1; M116/1_479-1; M116/1_480-1; M116/1_481-1; M116/1_482-1; M116/1_483-1; M116/1_484-1; M116/1_485-1; M116/1_486-1; M116/1_487-1; M116/1_488-1; M116/1_489-1; M116/1_490-1; M116/1_491-1; M116/1_492-1; M116/1_493-1; M116/1_494-1; M116/1_495-1; M116/1_496-1; M116/1_497-1; M116/1_498-1; M116/1_499-1; M116/1_500-1; M116/1_501-1; M116/1_502-1; M116/1_503-1; M116/1_504-1; M116/1_505-1; M116/1_506-1; M116/1_507-1; M116/1_508-1; M116/1_509-1; M116/1_510-1; M116/1_511-1; M116/1_512-1; M116/1_513-1; M116/1_514-1; M116/1_515-1; M116/1_516-1; M116/1_517-1; M116/1_518-1; M116/1_519-1; M116/1_520-1; M116/1_521-1; M116/1_522-1; M116/1_523-1; M116/1_524-1; M116/1_525-1; M116/1_526-1; M116/1_527-1; M116/1_528-1; M116/1_529-1; M116/1_530-1; M116/1_531-1; M116/1_532-1; M116/1_533-1; M116/1_534-1; M116/1_535-1; M116/1_536-1; M116/1_537-1; M116/1_538-1; M116/1_539-1; M116/1_540-1; M116/1_541-1; M116/1_542-1; M116/1_543-1; M116/1_544-1; M116/1_545-1; M116/1_547-1; M116/1_548-1; M116/1_549-1; M116/1_550-1; M116/1_551-1; M116/1_552-1; M116/1_554-1; M116/1_555-1; Meteor (1986); Nitrate; Nitrite; OSTRE_IV; Oxygen; Phosphate; Pressure, water; Profile ID; Salinity; SALINO; Salinometer; Sample code/label; SFB754; Silicate; Station label; Sulfur hexafluoride, SF6; Temperature, water; Trifluoromethyl sulfur pentafluoride
    Type: Dataset
    Format: text/tab-separated-values, 47753 data points
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  • 20
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    Sediment echosounder (3.5 kHz) profiles of POLARSTERN cruise ANT-IV/3 (2012)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: ANT-IV/3; AWI_Paleo; Code; CT; DATE/TIME; Date/time end; File name; File size; LATITUDE; Latitude 2; LONGITUDE; Longitude 2; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; Profile ID; PS08; PS08/3-track; Underway cruise track measurements; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 396 data points
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  • 21
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    Seabeam profiles (plots) during Polarstern cruise ANT-I/2 (2012)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-10
    Keywords: ANT-I/2; AWI_Paleo; CT; Date/time end; Date/time start; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; Profile ID; PS01; PS01/2-track; Swath-mapping system SeaBeam; Underway cruise track measurements; Uniform resource locator/link to graphic
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
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  • 22
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    Physical oceanography at station POS350_290-1 (2012)
    PANGAEA
    In:  IFM-GEOMAR Leibniz-Institute of Marine Sciences, Kiel University
    Details
    Publication Date: 2024-06-10
    Keywords: CTD; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Latitude of event; Longitude of event; POS350; POS350_290-1; Poseidon; Pressure, water; Profile ID; Salinity; Temperature, water; Yoyo1- Station
    Type: Dataset
    Format: text/tab-separated-values, 74800 data points
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  • 23
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    Physical oceanography at station POS350_346-2 (2012)
    PANGAEA
    In:  IFM-GEOMAR Leibniz-Institute of Marine Sciences, Kiel University
    Details
    Publication Date: 2024-06-10
    Keywords: CTD; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Latitude of event; Longitude of event; POS350; POS350_346-2; Poseidon; Pressure, water; Profile ID; Salinity; Temperature, water; Yoyo2- Station
    Type: Dataset
    Format: text/tab-separated-values, 84348 data points
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  • 24
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    Statistical grain size parameter of surface samples from Kiel Bay (1961)
    PANGAEA
    In:  Supplement to: Seibold, Eugen; Dill, Robert F; Walger, Eckart (1961): Tauchbeobachtungen und petrographische Untersuchungen zur Sedimentumlagerung in der Kieler Außenförde. Meyniana, 11, 82-96, https://doi.org/10.2312/meyniana.1961.11.82
    Details
    Publication Date: 2024-06-10
    Description: Geological observations, using "free-diving" techniques (Figure I) were made in September, 1960 and March 1961 along two continuous profiles in the outer Kiel Harbor, Germany and at several other spot locations in the Western Baltic Sea. A distinct terrace, cut in Pleistocene glacial till, was found that was covered with varying amounts and types of recent deposits. Hand samples were taken of the sea-floor sediments and grainsize distribution determined for both the sediment as a whole and for its heavy mineral fraction. From the Laboratory and Field observations it was possible to recognize two distinct types of sand; Type I, Sand resulting from transportation over a long period of time and distance and Type 11, Sand resulting from little transportation and found today near to xvhere it was formed. Several criterea related to the agent of movement could be used to classify the nature of the sediment; (1) undisturbed (the sediment Cover of the Pleistocene Terrace is essentially undisturbed), (2) mixed by organisms, (3) transported by water movements (sediment found with ripple marks, etc., and (4) "Scoured" (the movement of individual particles of sediment from around larger boulders causes a slow downward movement or "Creeping" which is due to both the force of gravity and bottom currents. These observations and laboratory studies are discussed concerning their relationship to the formation of residual sediments, the direction of sand transportation, and the intensive erosion on the outer edge of the wave-cut platform found in this part of the Baltic Sea.
    Keywords: buelk; Calculated; Comment; Depth, bathymetric; DEPTH, sediment/rock; DIVER; ECHO; Echosounder; Heavy minerals; off Leuchtturm Bülk, Kieler Bucht, Baltic Sea; Profile ID; Sample ID; Sampling by diver; Sand; Size fraction, statistical value; Smear slide analysis
    Type: Dataset
    Format: text/tab-separated-values, 790 data points
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  • 25
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    Sediment echosounder (3.5 kHz) profiles of POLARSTERN cruise ANT-II/3 (2013)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-10
    Keywords: ANT-II/3; AWI_Paleo; Code; CT; DATE/TIME; File name; File size; LATITUDE; LONGITUDE; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; Profile ID; PS04; PS04/3-track; Underway cruise track measurements; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 363 data points
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    DATA PANGAEA
  • 26
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    Sediment echosounder (3.5 kHz) profiles of POLARSTERN cruise ANT-I/2 (2013)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-10
    Keywords: ANT-I/2; AWI_Paleo; Code; CT; DATE/TIME; File name; File size; LATITUDE; LONGITUDE; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; Profile ID; PS01; PS01/2-track; Underway cruise track measurements; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 660 data points
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  • 27
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    Sediment echosounder (3.5 kHz) profiles of POLARSTERN cruise ANT-II/4 (2013)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-10
    Keywords: ANT-II/4; AWI_Paleo; Code; CT; DATE/TIME; File name; File size; LATITUDE; LONGITUDE; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; Profile ID; PS04; PS04/4-track; Underway cruise track measurements; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 531 data points
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  • 28
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    Sediment echosounder (3.5 kHz) profiles of POLARSTERN cruise ANT-V/4 (2013)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-10
    Keywords: ANT-V/4; AWI_Paleo; Code; CT; DATE/TIME; File name; File size; LATITUDE; LONGITUDE; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; Profile ID; PS10; PS10/4-track; Underway cruise track measurements; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 5030 data points
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  • 29
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    Sediment echosounder (3.5 kHz) profiles of POLARSTERN cruise ANT-VI/3 (2013)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: ANT-VI/3; AWI_Paleo; Code; CT; DATE/TIME; File name; File size; LATITUDE; LONGITUDE; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; Profile ID; PS12; PS12/3-track; Underway cruise track measurements; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 5796 data points
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  • 30
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    Sediment echosounder (3.5 kHz) profiles of POLARSTERN cruise ARK-III/2 (1985)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: ARK-III/2; AWI_Paleo; Code; CT; DATE/TIME; File name; File size; LATITUDE; LONGITUDE; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; Profile ID; PS07; PS07/2-track; Underway cruise track measurements; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 2050 data points
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  • 31
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    Sediment echosounder (3.5 kHz) profiles of POLARSTERN cruise ARK-III/3 (2013)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: ARK-III/3; AWI_Paleo; Code; CT; DATE/TIME; File name; File size; LATITUDE; LONGITUDE; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; Profile ID; PS07; PS07/3-track; Underway cruise track measurements; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 7270 data points
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  • 32
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    Sediment echosounder (3.5 kHz) profiles of POLARSTERN cruise ARK-V/3b (2013)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: ARK-V/3b; AWI_Paleo; Code; CT; DATE/TIME; File name; File size; LATITUDE; LONGITUDE; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; Profile ID; PS13/3b-track; PS13 GRÖKORT; Underway cruise track measurements; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 775 data points
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  • 33
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    Hydrochemistry of water samples during METEOR cruise M97 (2016)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: Ammonium; Bottle number; Carbon, organic, particulate; Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD/Rosette; CTD001; CTD002; CTD003; CTD004; CTD005; CTD006; CTD007; CTD008; CTD009; CTD010; CTD011; CTD012; CTD013; CTD014; CTD015; CTD016; CTD017; CTD018; CTD019; CTD020; CTD021; CTD022; CTD023; CTD024; CTD025; CTD026; CTD027; CTD028; CTD029; CTD030; CTD031; CTD032; CTD033; CTD034; CTD035; CTD036; CTD037; CTD038; CTD039; CTD040; CTD041; CTD042; CTD043; CTD044; CTD045; CTD046; CTD047; CTD048; CTD049; CTD050; CTD051; CTD052; CTD053; CTD054; CTD055; CTD056; CTD057; CTD058; CTD059; CTD060; CTD061; CTD062; CTD063; CTD064; CTD065; CTD066; CTD067; CTD068; CTD069; CTD070; CTD071; CTD072; CTD073; CTD074; CTD075; CTD076; CTD077; CTD079; CTD080; CTD081; CTD082; CTD083; CTD084; CTD085; CTD086; CTD087; CTD088; CTD089; CTD090; CTD091; CTD092; CTD093; CTD094; CTD095; CTD096; CTD097; CTD098; CTD099; CTD100; CTD101; CTD102; CTD103; CTD104; CTD105; CTD106; CTD107; CTD108; CTD109; CTD110; CTD111; CTD112; CTD113; CTD114; CTD115; CTD116; CTD117; CTD118; CTD119; CTD120; CTD121; CTD122; CTD123; CTD124; CTD125; CTD126; CTD127; CTD128; CTD129; CTD130; CTD131; CTD132; CTD133; CTD134; CTD135; CTD136; CTD137; CTD138; CTD139; CTD140; CTD141; CTD142; CTD143; CTD144; CTD145; CTD146; CTD147; CTD148; CTD149; CTD150; CTD151; CTD152; CTD153; CTD154; CTD155; CTD156; CTD157; CTD158; CTD159; CTD160; CTD161; CTD162; CTD163; CTD164; CTD165; CTD166; CTD167; CTD168; CTD169; CTD170; CTD171; CTD172; CTD173; CTD174; CTD175; CTD176; CTD177; CTD178; CTD179; CTD180; CTD181; CTD182; CTD183; CTD184; CTD-RO; DATE/TIME; DEPTH, water; Event label; Flag; Freon-12 (dichlorodifluoromethane); LATITUDE; LONGITUDE; M97; M97_1087-1; M97_1089-1; M97_1094-1; M97_1096-1; M97_1097-1; M97_1099-1; M97_1101-1; M97_1102-1; M97_1103-1; M97_1106-1; M97_1107-1; M97_1108-1; M97_1111-1; M97_1112-1; M97_1113-1; M97_1114-1; M97_1116-1; M97_1117-1; M97_1118-1; M97_1119-1; M97_1120-1; M97_1121-1; M97_1122-1; M97_1123-1; M97_1125-1; M97_1126-1; M97_1127-1; M97_1128-1; M97_1129-1; M97_1130-1; M97_1131-1; M97_1132-1; M97_1133-1; M97_1134-1; M97_1135-1; M97_1136-1; M97_1137-1; M97_1139-1; M97_1140-1; M97_1141-1; M97_1142-1; M97_1143-1; M97_1144-1; M97_1145-1; M97_1148-1; M97_1149-1; M97_1150-1; M97_1151-1; M97_1154-1; M97_1155-1; M97_1156-1; M97_1157-1; M97_1158-1; M97_1159-1; M97_1161-1; M97_1162-1; M97_1163-1; M97_1164-1; M97_1165-1; M97_1166-1; M97_1167-1; M97_1169-1; M97_1170-1; M97_1171-1; M97_1172-1; M97_1173-1; M97_1176-1; M97_1177-1; M97_1178-1; M97_1180-1; M97_1181-1; M97_1182-1; M97_1183-1; M97_1184-1; M97_1185-1; M97_1186-1; M97_1192-1; M97_1204-1; M97_1210-1; M97_1212-1; M97_1219-1; M97_1220-1; M97_1221-1; M97_1223-1; M97_1224-1; M97_1225-1; M97_1226-1; M97_1229-1; M97_1230-1; M97_1233-1; M97_1234-1; M97_1235-1; M97_1236-1; M97_1239-1; M97_1240-1; M97_1241-1; M97_1242-1; M97_1243-1; M97_1244-1; M97_1247-1; M97_1251-1; M97_1252-1; M97_1253-1; M97_1254-1; M97_1255-1; M97_1256-1; M97_1257-1; M97_1258-1; M97_1260-1; M97_1261-1; M97_1262-1; M97_1263-1; M97_1264-1; M97_1265-1; M97_1266-1; M97_1267-1; M97_1269-1; M97_1270-1; M97_1272-1; M97_1273-1; M97_1274-1; M97_1275-1; M97_1276-1; M97_1277-1; M97_1279-1; M97_1281-1; M97_1282-1; M97_1283-1; M97_1284-1; M97_1285-1; M97_1286-1; M97_1289-1; M97_1290-1; M97_1291-1; M97_1292-1; M97_1293-1; M97_1294-1; M97_1295-1; M97_1296-1; M97_1297-1; M97_1298-1; M97_1299-1; M97_1300-1; M97_1302-1; M97_1303-1; M97_1304-1; M97_1305-1; M97_1306-1; M97_1308-1; M97_1309-1; M97_1312-1; M97_1316-1; M97_1317-1; M97_1318-1; M97_1319-1; M97_1320-1; M97_1322-1; M97_1324-1; M97_1325-1; M97_1326-1; M97_1328-1; M97_1329-1; M97_1331-1; M97_1332-1; M97_1333-1; M97_1334-1; M97_1336-1; M97_1337-1; M97_1339-1; M97_1341-1; M97_1342-1; M97_1343-1; M97_1345-1; M97_1346-1; M97_1347-1; M97_1348-1; M97_1350-1; M97_1351-1; M97_1352-1; M97_1353-1; M97_1354-1; M97_1355-1; M97_1358-1; Meteor (1986); Nitrate and Nitrite; Nitrogen, organic, particulate; Oxygen; Phosphate; Phosphorus, organic, particulate; Pressure, water; Profile ID; Salinity; Sample code/label; SFB754; Silicate; Temperature, water; Trifluoromethyl sulfur pentafluoride
    Type: Dataset
    Format: text/tab-separated-values, 42709 data points
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  • 34
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    Soil characteristics of savannah soils across Brasil (2017)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: Aluminium; Aluminium saturation; Area/locality; Bases, exchangeable, sum; Base saturation; Brasil; Brasil_savannah; Carbon, total; Cation exchange capacity; DEPTH, sediment/rock; Land cover classes; LATITUDE; LONGITUDE; MULT; Multiple investigations; pH; Profile ID; Reference/source; Sand; Silt; Size fraction 〈 0.002 mm, clay; Soil type
    Type: Dataset
    Format: text/tab-separated-values, 10796 data points
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  • 35
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    Geophysical profiles during METEOR cruise M79/2 (2018)
    PANGAEA
    In:  Institut für Geophysik, Universität Hamburg
    Details
    Publication Date: 2024-06-10
    Keywords: CT; eastern Azores and Gloria Fault; LATITUDE; Latitude 2; LONGITUDE; Longitude 2; M79/2; M79/2-track; Meteor (1986); Profile/sampling length; Profile ID; Sample method; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 330 data points
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  • 36
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    Current meter and CTD data from the Biogenic Reef Ichthyofauna Lander (BRIL; OceanLab) deployed on the slope of Galway Mount during campaign NIOZ-64PE313 onboard RV Pelagia (2011)
    PANGAEA
    In:  OceanLab, University of Aberdeen
    Details
    Publication Date: 2024-06-10
    Keywords: 64PE313; Biogenic Reef Ichthyofauna Lander; BRIL; Conductivity; CoralFISH; Current direction; Current meter, pitch; Current meter, roll; Current meter, SeaGuard; Current meter, tilt; Current speed; Current velocity, east-west; Current velocity, north-south; Current velocity, vertical; DATE/TIME; DEPTH, water; Ecosystem based management of corals, fish and fisheries in the deep waters of Europe and beyond; Event label; HERMIONE; Hotspot Ecosystem Research and Mans Impact On European Seas; LATITUDE; Log info; LONGITUDE; NIOZ-64PE313_2009-10-18T1909_Lander; Pelagia; Pressure, water; Salinity; Signal strength; Station=13&24; Lander deployment=2; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 23520 data points
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  • 37
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    Physical oceanography measurements in the tidal inlet between the islands Spiekeroog and Langeoog, Wadden Sea, North Sea, 2017-03 (2017)
    PANGAEA
    In:  Institute for Chemistry and Biology of the Marine Environment, Carl-von-Ossietzky University of Oldenburg, Germany
    Details
    Publication Date: 2024-06-10
    Description: The data were measured in the German North Sea between the East-Frisian Islands Spiekeroog and Langeoog with RB Otzum (ICBM) on March 14 and 16 2017. Conductivity, temperature and pressure were measured by means of a Seabird CTD (type 19plusV2). On March 14 2017 data were collected for an entire tidal cycle, starting at low tide; whereas on March 16 2017 we measured only a half tidal cycle, starting at high tide. The profiles were taken in the middle of the tidal inlet between the two islands. During the CTD cast, where the CTD was veered with a speed of around 0.1 m/s, the boat was drifting with the current. The positions and times given in the data set mark the beginning of each CTD cast. Dates and times are given in UTC. The data were transformed by using the SBE Data Processing Software. Only the downcast profile was used and a bin average (binsize = 0.1 m) was calculated with the software.
    Keywords: Calculated; Conductivity; CTD, Seabird; CTD, Sea-Bird, SBE 19 Plus V2; CTD-R; DATE/TIME; Density, sigma-theta (0); DEPTH, water; ICBM_Ot1703_1; LATITUDE; LONGITUDE; Pressure, water; Profile ID; Salinity; Salinity, absolute; Spiekeroog, German Bight, North Sea; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 33288 data points
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  • 38
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    LADCP current data from Poseidon cruise POS516 (2017) (2018)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: Atlantic; CT; Current velocity, east-west; Current velocity, north-south; DATE/TIME; DEPTH, water; ENERGY TRANSFER; Energy Transfers in Atmosphere and Ocean; LATITUDE; LONGITUDE; POS516; POS516-track; Poseidon; Profile ID; SFB181; Station label; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 143748 data points
    Location Call Number Expected Availability
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  • 39
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    Microstructure measurements during METEOR cruise M136 (2018)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; DATE/TIME; DEPTH, water; Event label; LATITUDE; LONGITUDE; M136; M136_337-1; M136_340-1; M136_345-1; M136_347-1; M136_349-1; M136_352-1; M136_355-1; M136_357-1; M136_359-1; M136_361-1; M136_364-1; M136_373-1; M136_418-1; M136_419-1; M136_421-1; M136_434-1; M136_436-1; M136_438-1; M136_447-1; M136_449-1; M136_451-1; M136_462-1; M136_464-1; M136_479-1; M136_481-1; M136_489-1; M136_490-1; M136_506-1; M136_507-1; M136_509-1; M136_511-1; M136_518-1; M136_528-1; M136_529-1; M136_531-1; M136_537-1; M136_539-1; M136_541-1; M136_560-1; M136_575-1; M136_580-1; M136_582-1; M136_584-1; M136_586-1; Meteor (1986); Micro structure probe; MSS; Number; Pressure, water; Profile ID; Rate of turbulent kinetic energy dissipation; Salinity; SFB754; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 502017 data points
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  • 40
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    Geophysical profiles during METEOR cruise M144/2 (2018)
    PANGAEA
    In:  Institut für Geophysik, Universität Hamburg
    Details
    Publication Date: 2024-06-10
    Keywords: CT; DOLOMITE; LATITUDE; Latitude 2; LONGITUDE; Longitude 2; M144/2; M144/2-track; Meteor (1986); Profile/sampling length; Profile ID; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 44 data points
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  • 41
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    Reflection seismic profiles, collected in the New Ireland Basin and the Manus Basin, Papua New Guinea, in 1994 (2019)
    PANGAEA
    In:  Supplement to: Gennerich, Hans-Hermann (2002): Der Tabar-Feni-Inselbogen und sein plattentektonisches Regime, oder Wie entsteht ein Inselbogen ohne eine aktive Subduktionszone. Geowissenschaften, https://doi.org/10.2370/9783826597190
    Details
    Publication Date: 2024-06-10
    Description: During the research cruise SO-94 with the german research vessel "Sonne", these reflection seismic profiles were collected in March 1994 in Papua New Guinea in the New Ireland basin and the Manus basin. The survey is located between 2°S 151°E and 4°S 154°E. Equipment: Acoustic source was a GI-Gun (Seismic Systems Inc) with 2x1.5 liters volume, fired in a sequence with 30ms delay and dragged in 6m water depth. The collecting streamer had an active length of 100m, installed after a tow leader of 125m and a stretch section of 25m. It was built by "Teledyne Marine". The collected signals were electronically stacked to single channel data. Data were collected with a unit of 120db dynamic range, built at the Marine Sensors Group at the Unversity of Bremen. They are fully processed with the following processing steps: bandpass filter: 10/20-180/250 Hz; notch filter: 50 Hz und 150 Hz; FD-migration with 1500 m/s; AGC-window: 500 msec; clipping. Data are presented in SEGY-data format.
    Keywords: Bismarck Sea; EDISON PACIFIC; Event label; Feni; File format; File name; File size; Lihir; Manus Basin; New Ireland Basin; Pacific Ocean; Papua New Guinea; Profile ID; SEIS; Seismic; Seismic reflection data; SO94; SO94-SCS-01; SO94-SCS-02; SO94-SCS-03; SO94-SCS-04; SO94-SCS-05; SO94-SCS-06; SO94-SCS-07; Sonne; Tabar; Tanga Islands; Uniform resource locator/link to file; Western Pacific and Bismarck Sea
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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  • 42
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    Underway CTD data collected during METEOR cruise M136 (2019)
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Details
    Publication Date: 2024-06-10
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD-Rapid Cast; CTD-RCST; DATE/TIME; Event label; File name; LATITUDE; LONGITUDE; M136; M136_335-1; M136_343-2; M136_363-1; M136_369-1; M136_376-1; M136_391-1; M136_407-1; M136_433-1; M136_478-1; M136_493-1; M136_496-1; M136_514-1; M136_536-1; M136_546-1; M136_552-1; M136_566-1; M136_571-1; M136_573-1; Meteor (1986); Pressure, water; Profile ID; Salinity; SFB754; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 416430 data points
    Location Call Number Expected Availability
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  • 43
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    Physical oceanography during PELAGIA cruise PE278 (2019)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: Temperature, salinity and oxygen data measured by CTD on the Pelagia cruise PE278. Note: Oxygen is only available for stations 0-5. Chief Scientist: Dagmar Kieke Region: Subpolar Northeastern Atlantic Instrument: SBE 9 plus CTD, SBE 11 plus deck unit, SBE 43 dissolved oxygen sensor
    Keywords: 0; 1; 10; 11; 12; 13; 14; 15; 16; 17; 18; 19; 2; 20; 21; 22; 23; 24; 25; 26; 27; 28; 29; 3; 30; 31; 32; 33; 34; 35; 36; 37; 38; 39; 4; 40; 41; 42; 43; 44; 45; 46; 47; 48; 49; 5; 50; 51; 52; 53; 7; 8; 9; Calculated; CTD, SEA-BIRD SBE 9 plus, SBE 11 plus deck unit; 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; hydropraphic data; Latitude of event; Longitude of event; Nordatlantik; North Atlantic; Oxygen; Oxygen sensor, SBE 43; PE278; PE278_0; PE278_1; PE278_10; PE278_11; PE278_12; PE278_13; PE278_14; PE278_15; PE278_16; PE278_17; PE278_18; PE278_19; PE278_2; PE278_20; PE278_21; PE278_22; PE278_23; PE278_24; PE278_25; PE278_26; PE278_27; PE278_28; PE278_29; PE278_3; PE278_30; PE278_31; PE278_32; PE278_33; PE278_34; PE278_35; PE278_36; PE278_37; PE278_38; PE278_39; PE278_4; PE278_40; PE278_41; PE278_42; PE278_43; PE278_44; PE278_45; PE278_46; PE278_47; PE278_48; PE278_49; PE278_5; PE278_50; PE278_51; PE278_52; PE278_53; PE278_7; PE278_8; PE278_9; Pelagia; Pressure, water; Profile ID; Salinity; South Atlantic Ocean; Temperature, water; Temperature, water, potential
    Type: Dataset
    Format: text/tab-separated-values, 956329 data points
    Location Call Number Expected Availability
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  • 44
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    2D multichannel seismic reflection data at TAG hydrothermal field during METEOR cruise M127 with links to sgy data files (2019)
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Details
    Publication Date: 2024-06-10
    Description: 2D seismic profiling was acquired at TAG hydrothermal filed, Mid-Atlantic Ridge during cruise M127 of R/V METEOR. Data were acquired using a 192 channel streamer (group offset 1.52 m). Source signal generation was provided by a 105/105 cinch GI gun or a 380/380 cinch G-gun cluster. Purpose of the cruise was the imaging of mound structures for the benefit of imaging seafloor massive sulfide structures.
    Keywords: BlueMining; Breakthrough Solutions for Mineral Extraction and Processing in Extreme Environment – Blue Mining; File format; File name; File size; hydrothermal vents; LATITUDE; Latitude 2; LONGITUDE; Longitude 2; M127; M127_MCS_TAG; Meteor (1986); Profile ID; seafloor massive sulfides; seismic data; Seismic reflection profile; SEISREFL; TAG; TAG_field; TAG Hydrothermal Field; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 308 data points
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  • 45
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    Physical oceanography from underway CTD measurements during the Transdrift 21-expedition to the Laptev Sea in 2013 (2019)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: Underway (U)CTD data were collected during a 2013 (22. August – 21. September) expedition to the Arctic Ocean aboard the RV Viktor Buinitsky as part of the German-Russian BMBF-funded project Transdrift (The transpolar system of the Arctic Ocean). The UCTD was operated during selected shelf-basin transects as well as to expand the sampling grid on the shelf during transits across the shelf while the ship was transiting with 6 - 11 knots. The UCTD probe records the start time of the measurements and stores 16 samples each second internally. The exact location of each profile was subsequently found based on the time stamp from the cruise track. The unpumped conductivity sensor has a slower response time than the temperature sensor, which makes the computation of salinity from conductivity and temperature potentially spiky, especially in the pycnocline or in frontal regions. We followed the recommendation of the manufacturer to calculate salinity with Seabird processing software. The raw data profiles are provided as well and can be reprocessed if desired. In shallower waters (〈200m), the water column was profiled all the way to the seafloor, while in deeper waters, only the upper 200-350m were sampled. Shipboard echo soundings were not available, actual water depths at the profile locations need to be extracted from bathymetric charts (for instance IBCAO ). The UCTD sensors were calibrated before and after the cruise. The upper 3 m of the data were discarded due to the influence of the ship. However, the hull of the ship was shallow and the effect of the ship on mixing surface water properties and disrupting the natural water column structure was relatively small compared with large vessels.
    Keywords: AWI_PhyOce; CTD, underway; CTD-UW; DATE/TIME; DEPTH, water; Event label; Laptev Sea; Laptev Sea System; LATITUDE; LONGITUDE; LSS; Physical Oceanography @ AWI; Pressure, water; Profile ID; Salinity; System Laptev-Sea: Transdrift; Temperature, water; TRANSDRIFT; Transdrift-XXI; UnderwayCTD (UCTD), Oceanscience; VB13; VB13_10-7a; VB13_10-7b; VB13_10-7c; VB13_10-7d; VB13_10-7e; VB13_10-7g; VB13_10-7h; VB13_10-7i; VB13_10-7j; VB13_10-7k; VB13_10-7l; VB13_10-7m; VB13_10-7n; VB13_10-7o; VB13_10-7p; VB13_10-7q; VB13_10-7r; VB13_10-7s; VB13_10-7t; VB13_10-7u; VB13_10-7v; VB13_10-7w; VB13_10-7x; VB13_10-7y; VB13_10-7z; VB13_10-8a; VB13_10-8b; VB13_10-8c; VB13_10-8d; VB13_10-8e; VB13_10-8g; VB13_10-8h; VB13_10-8i; VB13_13-4a; VB13_13-4b; VB13_13-4c; VB13_13-4d; VB13_13-4e; VB13_13-4f; VB13_13-4g; VB13_13-4h; VB13_13-4i; VB13_13-4j; VB13_13-4k; VB13_13-4l; VB13_13-4n; VB13_15-10a; VB13_15-10b; VB13_15-10c; VB13_15-10d; VB13_15-10e; VB13_15-10f; VB13_15-10g; VB13_15-10h; VB13_15-10i; VB13_15-10j; VB13_15-10k; VB13_15-10l; VB13_15-10m; VB13_15-10n; VB13_15-10o; VB13_15-10p; VB13_15-10q; VB13_15-10r; VB13_15-10s; VB13_15-10t; VB13_15-10u; VB13_15-10v; VB13_15-10w; VB13_15-10x; VB13_15-10y; VB13_15-10z; VB13_15-11a; VB13_15-11b; VB13_15-11c; VB13_15-11d; VB13_15-11e; VB13_15-11f; VB13_15-11g; VB13_15-11h; VB13_15-11i; VB13_15-11j; VB13_15-11k; VB13_15-11l; VB13_15-11m; VB13_15-11n; VB13_15-11o; VB13_15-11p; VB13_15-11q; VB13_15-11r; VB13_15-11s; VB13_15-1a; VB13_15-1b; VB13_15-1c; VB13_15-1d; VB13_15-1e; VB13_15-1f; VB13_15-1g; VB13_15-1h; VB13_15-1i; VB13_15-1j; VB13_15-1k; VB13_15-1l; VB13_15-1m; VB13_15-1n; VB13_15-1o; VB13_15-1p; VB13_15-1q; VB13_15-1r; VB13_16-15a; VB13_16-15b; VB13_16-15c; VB13_16-15d; VB13_16-15e; VB13_16-15f; VB13_16-15g; VB13_16-15h; VB13_16-15i; VB13_16-15j; VB13_16-15k; VB13_16-15l; VB13_16-15m; VB13_16-15n; VB13_16-15o; VB13_16-15p; VB13_16-15q; VB13_17-8a; VB13_17-8b; VB13_17-8c; VB13_17-8d; VB13_17-8e; VB13_17-8f; VB13_17-8g; VB13_17-8h; VB13_17-8i; VB13_1-7a; VB13_1-7b; VB13_1-7c; VB13_1-7d; VB13_1-7e; VB13_1-7f; VB13_1-7g; VB13_1-7h; VB13_1-7i; VB13_1-7j; VB13_1-7k; VB13_18-8a; VB13_18-8b; VB13_18-8c; VB13_18-8d; VB13_18-8e; VB13_18-8f; VB13_18-8g; VB13_18-8h; VB13_18-8i; VB13_19-9a; VB13_19-9b; VB13_19-9c; VB13_19-9d; VB13_19-9e; VB13_19-9f; VB13_19-9g; VB13_19-9h; VB13_19-9i; VB13_19-9j; VB13_2-3a; VB13_2-3b; VB13_2-3c; VB13_2-3d; VB13_2-3e; VB13_2-3f; VB13_2-3g; VB13_2-3h; VB13_2-3i; VB13_2-3k; VB13_2-3l; VB13_2-3m; VB13_2-3n; VB13_2-3o; VB13_2-3p; VB13_2-3q; VB13_2-3r; VB13_2-3s; VB13_2-3t; VB13_2-3u; VB13_2-3v; VB13_2-3w; VB13_4-1a; VB13_4-1b; VB13_4-1c; VB13_4-1d; VB13_4-1e; VB13_4-1f; VB13_4-1g; VB13_4-1h; VB13_4-1i; VB13_4-1j; VB13_4-1k; VB13_5-10a; VB13_5-10b; VB13_5-10c; VB13_5-10d; VB13_5-10e; VB13_5-10f; VB13_5-10g; VB13_5-10h; VB13_5-10i; VB13_5-10j; VB13_5-10k; VB13_5-10l; VB13_5-10m; VB13_5-10n; VB13_5-10o; VB13_5-10p; VB13_5-10q; VB13_5-10r; VB13_5-10s; VB13_5-10t; VB13_5-10u; VB13_5-10v; VB13_5-10w; VB13_5-10x; VB13_5-10y; VB13_5-10z; VB13_6-4a; VB13_6-4b; VB13_6-4c; VB13_6-4d; VB13_6-4e; VB13_6-4f; VB13_6-4g; VB13_6-4h; VB13_6-4i; VB13_6-4j; VB13_6-4k; VB13_6-4l; VB13_6-4m; VB13_6-4n; VB13_6-4o; VB13_6-4p; VB13_6-4q; VB13_6-4r; VB13_7-11a; VB13_7-11b; VB13_7-11c; VB13_7-11d; VB13_7-11e; VB13_7-11f; VB13_7-11g; VB13_7-11h; VB13_7-11i; VB13_7-11j; VB13_7-11k; VB13_7-11l; VB13_7-11m; VB13_7-11n; VB13_8-6a; VB13_8-6b; VB13_8-6c; VB13_8-6d; VB13_8-6e; VB13_8-6f; VB13_8-6g; VB13_8-6h; VB13_8-6i; VB13_8-6j; VB13_8-6k; VB13_8-6l; VB13_8-6m; VB13_8-6n; VB13_8-6o; VB13_8-6p; VB13_8-6q; VB13_8-6r; VB13_8-6s; VB13_8-6t; VB13_8-6u; VB13_8-6v; Viktor Buynitskiy
    Type: Dataset
    Format: text/tab-separated-values, 103504 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 46
    facet.materialart.
    Unknown
    Metadata and NCBI-Accession numbers of the global Deep-sea Sponge Microbiome Project (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: The Deep-sea Sponge Microbiome Project is a large-scale study, integrating 16S amplicon sequencing data of seawater, sediment, and sponges, with a large set of ecological and physical metadata. The present dataset includes NCBI-accession numbers, sample collection details, and diverse measurements, adding up to 50 entries for each of the 1546 covered samples.
    Keywords: Accession number, genetics; Ada Rebikoff; Agassiz Trawl; AGT; Alkalinity, total; Anchor dredge; Angeles Alvarino; ANT-XXXI/2 FROSN; Arctic Ocean; Area/locality; ARK-XXVII/2; ARK-XXX/3; ARK-XXXI/2; Azores2018; Bay of Biscay; BC; BEAM; Beam trawl; Bleiksdjupet; Bottle, Niskin; Bottom trawl; Box corer; BT; Campaign; Carbon, inorganic, particulate; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon dioxide, total; Celtic Voyager; Class; Conductivity; CTD; CTD/Rosette; CTD1; CTD10; CTD11; CTD12; CTD13; CTD14; CTD15; CTD2; CTD3; CTD4; CTD5; CTD6; CTD7; CTD8; CTD9; CTD-RO; CV13012; CV13012_A; DATE/TIME; Deep-sea; Deep-sea Sponge Grounds Ecosystems of the North Atlantic; Density, sigma, in situ; DEPTH, water; derived from MODIS remote sensing data; Distance; Dive_041; Dive_042; Dive_043; Dive_044; Dive_045; Dive_046; DIVER; DR10; DR15; DR4; DR7; DR9; Dredge, chain bag; Dredge, rock; Dredge, triangle; DRG_A; DRG_C; DRG_R; Duse Bay; Event label; extracted from GLODAPv2.2020; extracted from the World Ocean Atlas 2018 (WOA18); Family; G. O. Sars (2003); Gear; Genus; Geological feature; Grab; GRAB; GS16A-202; GS2016109A; GS2016109A-01-CTD-01; GS2016109A-06-ROV-01; GS2016109A-09-BC-01; GS2016109A-10-BC-02; GS2016109A-14-CTD-02; GS2016109A-16-CTD-04; GS2016109A-18-CTD-06; GS2016109A-21-BC-05; GS2016109A-24-CTD-07; GS2016109A-26-CTD-09; GS2016109A-27-CTD-10; GS2016109A-28-CTD-11; GS2016109A-32-ROV-05; GS2016109A-33-AGT-01; GS2017110; GS2017110-02-ROV-02; GS2017110-03-CTD-01; GS2017110-04-CTD-02; GS2017110-05-ROV-03; GS2017110-06-ROV-04; GS2017110-08-ROV-05; GS2017110-09-ROV-6; GS2017110-15-CTD-05; GS2017110-16-ROV8; GS2017110-19-ROV10; GS2017110-22-BC-02; GS2017110-23-ROV12; GS2017110-26-CTD-08; GS2017110-28-CTD-10; GS2017110-30-CTD-12; GS2017110-34-ROV-15; GS2017110-40-ROV-18; GS2017110-41-ROV-19; GS2017110-42-CTD-16; GS2017110-44-BC-1; GS2017110-45-BC-2; GS2017110-46-BC-3; GS2017110-47-BC-4; GS2017110-50-CTD-19; GS2017110-54-CTD-20; GS2017110-57-AGT-01; GS2017110-59-CTD-21; GS2017110-60-BC-5; GS2017110-61-BC-6; GS2017110-62-BC-7; GS2017110-63-ROV-24; GS2017110-67-CTD-23; GS2017110-68-ROV-25; GS2017110-71-BC-8; GS2017110-72-BC-9; GS2017110-73-BC-10; GS2017110-74-ROV-26; GS2018108; GS2018108-01-ROV-01; GS2018108-02-CTD-01; GS2018108-03-ROV-02; GS2018108-04-ROV-03; GS2018108-05-CTD-02; GS2018108-07-ROV-05; GS2018108-08-ROV-06; GS2018108-12-CTD-03; GS2018108-13-CTD-04; GS2018108-14-CTD-05; GS2018108-17-AGT-01; GS2018108-19-ROV-12; GS2018108-22-CTD-07; GS2018108-23-ROV-15; GS2018108-25-ROV-17; GS2018108-29-CTD-09; GS2018108-30-CTD-10; GS2018108-31-CTD-11; GS2018108-34-ROV-22; GS2018108-37-CTD-12; GS2018108-39-ROV-26; GS2018108-43-ROV-30; GS2018108-44-ROV-31; GS2018108-46-ROV-33; GS2018108-48-CTD-13; GS2018108-55-CTD-14; GS2018108-58-ROV-43; GS2018108-62-CTD-15; GS2018108-63-ROV-47; GS2018108-64-ROV-48; GS2018108-66-CTD-16; GS2018108-70-ROV-50; GS2018108-77-CTD-24; GS2018108-78-ROV-52; GS2018108-79-ROV-53; Gulf of Bothnia, Baltic sea; H045_A; Hans Brattström; HB2016952; HB2016952_2; HB2016952_5; HB2016952_6; HB2016952_7; HB2016952_8; HB27102017_A; HB27102017_B; HB27102017_C; HB27102017a; HB27102017b; HUD16/19_010; HUD16/19_012; HUD16/19_013; HUD16/19_018; HUD16/19_020; HUD16/19_383; HUD16/19_387; HUD16/19_391; HUD16/19_392; HUD16/19_395; HUD2016019; Hudson; Identification; James Clark Ross; JR17003A; JR17003A_12; JR17003A_19; JR17003A_42; JR17003A_44; JR17003A_46-1; KB2017610; KB2017610_CTD7; KB2017610_KB-28; KB2017610_KB-32; KB2017610_KB-60; KB2017610_KB-61; KB2017610_ROV9; Korsfjord; Kristine Bonnevie; LATITUDE; LONGITUDE; LULA0718_Dive1; LULA0718_Dive2; LULA0718_Dive3; Malangsgrunnen; Maria S. Merian; Martha L. Black; meta-analysis; microbes; MLB2017001; MLB2017001_004; MLB2017001_005; MLB2017001_006; MLB2017001_015; MLB2017001_017; MLB2017001_020; MOOR; Mooring; MSM86; MSM86_006; MSM86_008; MSM86_009; MSM86_010; MSM86_012; MSM86_013; MSM86_015; MSM86_016; MSM86_019; MSM86_021; MSM86_022; MSM86_027; MSM86_028; MSM86_031; MSM86_032; MSM86_034; MSM86_035; MSM86_036; MSM86_038; MSM86_040; MSM86_041; MSM86_052; MSM86_054; MSM86_061; MSM86_062; MSM86_063; MSM86_067; MSM86_080; MSM86_081; MSM86_083; MSM86_086; MSM86_088; MSM86_090; MSM86_091; MSM86_094; MSM86_101; MSM86_106; Multicorer with television; NIS; Nitrate; Nitrogen, total dissolved; Nitrogen/Phosphorus ratio; North Greenland Sea; ocean; Ocean; Order; OT; OTNMoor_275; Otter trawl; Oxygen, apparent utilization; Oxygen, dissolved; Oxygen saturation; PAA2014007; PAA2014007_003; PAA2014007_056; PAA2014007_068; PAA2014007_070; PAA2014007_078; PAA2014007_079; PAA2014007_088; PAA2014007_110; PAA2014007_120; PAA2014007_123; PAA2014007_124; PAA2014007_125; PAA2014007_131; PAA2014007_133; PAA2014007_136; Paamiut; pH; Phosphate; Phylum; Polarstern; Pori Bac NewZ; Pressure, water; Prince Gustav Channel; Profile ID; Project; PS101; PS101/088-1; PS101/092-1; PS101/093-1; PS101/094-1; PS101/123-1; PS101/154-1; PS101/155-1; PS101/170-1; PS101/172-1; PS101/193-1; PS101/194-1; PS101/196-1; PS101/197-1; PS101/198-1; PS101/200-1; PS101/208-1; PS101/216-1; PS107; PS107_2-1; PS107_33-1; PS107_47-1; PS107_6-3; PS80; PS80/176-9; PS80/192-1; PS96; PS96/006-1; PS96/009-3; PS96/009-4; Realm; Remote operated platform for oceanography; Remote operated vehicle; ROPOS; ROPOS 2028; ROPOS 2029; ROPOS 2030; ROPOS 2034; ROV; Salinity; Sample type; Sampling by diver; Schultz Bank; Scotia; Scotia_0915S; Scotia_0915S_A; Scotia_0915S_B; Scotia_0915S_C; Scotia_0915S_D; Sea surface chlorophyll a; seawater; sediment; Silicate; Silicon/Phosphorus ratio; SO254; SO254_10-1; SO254_1-1; SO254_14-1; SO254_18-1; SO254_2-1; SO254_22-1; SO254_23-1; SO254_33-1; SO254_34-1; SO254_36-1; SO254_69-1; SO254_76-1; SO254_77-1; SO254_78-1; SO254_79-1; SO254_8-1; SO254_81-1; SO254_84-1; SO254_85-1; SO254_diver; Sognefjord; Sonne_2; South Atlantic Ocean; South Pacific Ocean; Species; sponge; SponGES; SponGES_0617; SPONGES_0617_04-DR4; SPONGES_0617_06-BT2; SPONGES_0617_07-CTD1; SPONGES_0617_09-DR5; SPONGES_0617_10-DR6; SPONGES_0617_12-CTD2; SPONGES_0617_13-CTD3; SPONGES_0617_15-DR7; SPONGES_0617_18-CTD4; SPONGES_0617_19-CTD5; SPONGES_0617_20-BT3; SPONGES_0617_23-DR9; SPONGES_0617_24-CTD6; SPONGES_0617_26-BT4; SPONGES_0617_27-CTD7; SPONGES_0617_28-DR10; SPONGES_0617_29-CTD8; SPONGES_0617_37-DR11; SPONGES_0617_38-DR12; SPONGES_0617_40-CTD9; SPONGES_0617_41-BT5; SPONGES_0617_42-CTD10; SPONGES_0617_43-BC1; SPONGES_0617_45-BC2; SPONGES_0617_46-CTD11; SPONGES_0617_47-BT6; SPONGES_0617_48-DR14; SPONGES_0617_49-CTD12; SPONGES_0617_50-BT7; SPONGES_0617_52-BT9; SPONGES_0617_53-BC3M1; SPONGES_0617_54-BT10; SPONGES_0617_55-CTD13; SPONGES_0617_56-BT11; SPONGES_0617_57-BT12; SPONGES_0617_58-CTD14; SPONGES_0617_59-BC4M1; SPONGES_0617_60-DR15; SPONGES_0617_61-CTD15; SPONGES_0617_63-DR16; Station label; Stjernsund; SUB; Submersible; Sula reef; TAD; Television-Grab; Temperature, water; Tromsoflaket East; Tromsøflaket; TVG; TVMUC; Uniform resource locator/link to reference; Vesteris; Water bodies; Weddell Sea; Zone
    Type: Dataset
    Format: text/tab-separated-values, 54242 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 47
    facet.materialart.
    Unknown
    Dissolved gas and dissolved inorganic nitrogen concentrations and isotopes during METEOR cruise M91 (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: Seawater samples for stable isotopes measurements of nitrate (δ15NO3-) and nitrite (δ15NO2-) were taken from the CTD/rosette. δ15NO3- and δ15NO2- samples were either preserved frozen or an azide treatment was applied depending on the nitrite concentration (Altabet et al., 2012; Bourbonnais et al., 2015; Hu et al., 2016). The isotopic composition of both N-species was measured using the Cd reduction/azide method (McIlvin and Altabet, 2005).
    Keywords: Bottle number; Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD/Rosette; CTD-002; CTD-003; CTD-005; CTD-006; CTD-008; CTD-010; CTD-012; CTD-013; CTD-016; CTD-017; CTD-018; CTD-019; CTD-021; CTD-022; CTD-024; CTD-026; CTD-028; CTD-033; CTD-034; CTD-035; CTD-036; CTD-038; CTD-039; CTD-041; CTD-044; CTD-046; CTD-048; CTD-049; CTD-050; CTD-051; CTD-052; CTD-053; CTD-054; CTD-058; CTD-059; CTD-060; CTD-061; CTD-062; CTD-063; CTD-064; CTD-065; CTD-066; CTD-067; CTD-068; CTD-069; CTD-070; CTD-073; CTD-074; CTD-075; CTD-076; CTD-078; CTD-079; CTD-080; CTD-081; CTD-082; CTD-083; CTD-084; CTD-085; CTD-086; CTD-087; CTD-088; CTD-089; CTD-090; CTD-091; CTD-092; CTD-093; CTD-094; CTD-097; CTD-RO; DATE/TIME; DEPTH, water; Event label; LATITUDE; LONGITUDE; M91; M91_1713-1; M91_1713-3; M91_1715-1; M91_1715-3; M91_1717-1; M91_1719-1; M91_1721-1; M91_1721-3; M91_1724-1; M91_1724-3; M91_1725-1; M91_1725-3; M91_1727-1; M91_1727-3; M91_1729-1; M91_1731-1; M91_1733-1; M91_1736-1; M91_1736-3; M91_1737-1; M91_1737-3; M91_1739-1; M91_1739-3; M91_1741-1; M91_1744-1; M91_1746-1; M91_1748-1; M91_1749-1; M91_1750-1; M91_1751-1; M91_1751-3; M91_1752-1; M91_1752-4; M91_1754-1; M91_1755-2; M91_1755-4; M91_1756-1; M91_1757-1; M91_1758-1; M91_1759-1; M91_1760-1; M91_1761-1; M91_1762-2; M91_1763-1; M91_1764-1; M91_1764-3; M91_1765-1; M91_1766-1; M91_1766-3; M91_1767-1; M91_1768-1; M91_1768-3; M91_1769-1; M91_1770-2; M91_1770-4; M91_1771-1; M91_1772-1; M91_1773-2; M91_1773-3; M91_1774-1; M91_1774-3; M91_1775-1; M91_1775-3; M91_1776-1; M91_1776-3; M91_1777-1; M91_1777-4; M91_1778-1; Meteor (1986); Nitrogen excess; Profile ID; SFB754; South Pacific Ocean; δ15N, nitrate; δ15N, nitrite; δ18O, nitrate; δ18O, nitrite
    Type: Dataset
    Format: text/tab-separated-values, 3789 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 48
    facet.materialart.
    Unknown
    Dissolved gas and dissolved inorganic nitrogen concentrations isotopes during METEOR cruise M90 (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: Seawater samples for stable isotopes measurements of nitrate (δ15NO3-) and nitrite (δ15NO2-) were taken from the CTD/rosette. δ15NO3- and δ15NO2- samples were either preserved frozen or an azide treatment was applied depending on the nitrite concentration (Altabet et al., 2012; Bourbonnais et al., 2015; Hu et al., 2016). The isotopic composition of both N-species was measured using the Cd reduction/azide method (McIlvin and Altabet, 2005).
    Keywords: Bottle number; Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD/Rosette; CTD 1; CTD 10; CTD 100; CTD 101; CTD 102; CTD 103; CTD 105; CTD 106; CTD 107; CTD 108; CTD 109; CTD 110; CTD 111; CTD 112; CTD 113; CTD 114; CTD 115; CTD 116; CTD 117; CTD 119; CTD 120; CTD 121; CTD 122; CTD 123; CTD 124; CTD 125; CTD 126; CTD 127; CTD 128; CTD 129; CTD 13; CTD 130; CTD 131; CTD 132; CTD 133; CTD 135; CTD 136; CTD 138; CTD 139; CTD 14; CTD 141; CTD 143; CTD 144; CTD 145; CTD 147; CTD 149; CTD 15; CTD 150; CTD 151; CTD 152; CTD 153; CTD 154; CTD 156; CTD 158; CTD 16; CTD 160; CTD 162; CTD 165; CTD 168; CTD 171; CTD 173; CTD 183; CTD 2; CTD 20; CTD 22; CTD 23; CTD 24; CTD 25; CTD 26; CTD 27; CTD 28; CTD 29; CTD 3; CTD 30; CTD 31; CTD 32; CTD 33; CTD 34; CTD 35; CTD 36; CTD 37; CTD 38; CTD 39; CTD 4; CTD 41; CTD 42; CTD 43; CTD 44; CTD 45; CTD 48; CTD 49; CTD 5; CTD 50; CTD 51; CTD 52; CTD 54; CTD 55; CTD 56; CTD 57; CTD 58; CTD 59; CTD 61; CTD 62; CTD 63; CTD 64; CTD 65; CTD 66; CTD 67; CTD 69; CTD 70; CTD 71; CTD 72; CTD 73; CTD 74; CTD 77; CTD 78; CTD 79; CTD 81; CTD 82; CTD 83; CTD 84; CTD 85; CTD 86; CTD 89; CTD 9; CTD 90; CTD 91; CTD 92; CTD 93; CTD 94; CTD 95; CTD 96; CTD 97; CTD 98; CTD 99; CTD-RO; DATE/TIME; DEPTH, water; Event label; LATITUDE; LONGITUDE; M90; M90_1552-1; M90_1553-1; M90_1554-1; M90_1555-1; M90_1555-2; M90_1559-1; M90_1560-1; M90_1563-1; M90_1563-2; M90_1564-1; M90_1565-1; M90_1569-1; M90_1571-1; M90_1572-1; M90_1572-2; M90_1573-1; M90_1574-1; M90_1575-1; M90_1576-1; M90_1577-1; M90_1577-2; M90_1578-1; M90_1579-1; M90_1580-1; M90_1581-1; M90_1581-2; M90_1582-1; M90_1583-1; M90_1583-2; M90_1584; M90_1586-1; M90_1587-1; M90_1588-1; M90_1589-1; M90_1590-1; M90_1593-1; M90_1594-1; M90_1595-1; M90_1596-1; M90_1596-2; M90_1598-1; M90_1599-1; M90_1600-1; M90_1600-2; M90_1601-1; M90_1602-1; M90_1604-1; M90_1604-2; M90_1605-1; M90_1606-1; M90_1607-1; M90_1608-1; M90_1608-2; M90_1610-1; M90_1611-1; M90_1612-1; M90_1612-2; M90_1613-1; M90_1614-1; M90_1617-1; M90_1618-1; M90_1619-1; M90_1621-1; M90_1621-2; M90_1622-1; M90_1623-1; M90_1624-1; M90_1625-1; M90_1628-1; M90_1628-2; M90_1629-1; M90_1630-1; M90_1631-1; M90_1632-1; M90_1633-1; M90_1634-1; M90_1635-1; M90_1636-1; M90_1637-1; M90_1638-1; M90_1639-1; M90_1639-2; M90_1640-1; M90_1642-1; M90_1643-1; M90_1644-1; M90_1645-1; M90_1646-1; M90_1646-2; M90_1647-1; M90_1648-1; M90_1649-1; M90_1650-1; M90_1651-1; M90_1652-1; M90_1652-2; M90_1654-1; M90_1655-1; M90_1656-1; M90_1656-2; M90_1657-1; M90_1658-1; M90_1659-1; M90_1659-2; M90_1660-1; M90_1661-1; M90_1661-2; M90_1662-1; M90_1663-1; M90_1664-1; M90_1664-2; M90_1666-1; M90_1666-2; M90_1668-1; M90_1668-2; M90_1670-1; M90_1672-1; M90_1673-1; M90_1673-1b; M90_1675-1; M90_1677-1; M90_1678-1; M90_1679-1; M90_1679-2; M90_1680-1; M90_1681-1; M90_1683-1; M90_1685-1; M90_1687-1; M90_1689-1; M90_1692-1; M90_1695-1; M90_1698-1; M90_1700-1; M90_1710-1; Meteor (1986); Nitrogen, biogenic; Nitrogen, biogenic, standard deviation; Nitrogen deficit; Nitrogen excess; Profile ID; SFB754; Standard deviation; δ15N, gas; δ15N, nitrate; δ15N, nitrite; δ15N, standard error; δ18O, nitrate; δ18O, nitrite
    Type: Dataset
    Format: text/tab-separated-values, 14903 data points
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  • 49
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    Microstructure measurements during METEOR cruise M106 (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: 118 profiles of post-processed upper-ocean microstructure data from a loosely-tethered profiler (MSS90-D, manufactured by Sea & Sun Technology) collected in the central and western tropical Atlantic. Dissipation rates of turbulent kinetic energy are calculated as described in Schafstall et al. (Journal of Geophysical Research, 2010). Stored parameters include: Dissipation rate of turbulent kinetic energy in m^2 s^(-3) from 3 microstructure shear sensors, temperature, salinity and depth.
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; DATE/TIME; DEPTH, water; Dissipation rate; Event label; LATITUDE; LONGITUDE; M106; M106_324-3; M106_337-5/6; M106_346-1; M106_352-1; M106_353-1; M106_366-1; M106_367-3; M106_368-3; M106_371-2; M106_372-2; M106_403-2; M106_404-2; M106_405-2; M106_406-2; M106_407-2; M106_410-2; M106_411-4; M106_412-2; M106_413-2; M106_414-2; M106_415-2; M106_416-4; M106_417-2; M106_418-2; M106_419-2; M106_422-2; M106_423-2; M106_424-3; M106_425-2; M106_426-2; M106_427-2; M106_428-3; M106_429-2; M106_430-2; M106_431-2; M106_432-2; M106_433-2; M106_434-2; Meteor (1986); Micro structure probe; MSS; MSS_1; MSS_10; MSS_11; MSS_12; MSS_13; MSS_14; MSS_15; MSS_16; MSS_18; MSS_19; MSS_2; MSS_20; MSS_21; MSS_22; MSS_23; MSS_24; MSS_25; MSS_26; MSS_27; MSS_28; MSS_29; MSS_3; MSS_30; MSS_31; MSS_32; MSS_33; MSS_34; MSS_35; MSS_36; MSS_37; MSS_38; MSS_39; MSS_4; MSS_5; MSS_6; MSS_7; MSS_8; MSS_9; Pressure, water; Profile ID; Salinity; SFB754; Temperature, water; tropical Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 684121 data points
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  • 50
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    Microstructure measurements during METEOR cruise M119 (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: 170 profiles of post-processed upper-ocean microstructure data from a loosely-tethered profiler (MSS90-D, manufactured by Sea & Sun Technology) collected in the central and western tropical Atlantic. Dissipation rates of turbulent kinetic energy are calculated as described in Schafstall et al. (Journal of Geophysical Research, 2010). Stored parameters include: Dissipation rate of turbulent kinetic energy in m^2 s^(-3) from 3 microstructure shear sensors, temperature, salinity and depth.
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; DATE/TIME; DEPTH, water; Dissipation rate; Event label; LATITUDE; LONGITUDE; M119; M119_687-1; M119_711-1; M119_751-1; M119_767-1; M119_773-1; M119_777-1; M119_813-1; M119_815-1; M119_817-1; M119_819-1; M119_826-1; M119_828-1; M119_831-1; M119_834-1; M119_836-1; M119_839-1; M119_841-1; M119_843-1; M119_847-1; M119_849-1; M119_851-1; M119_854-1; M119_856-1; M119_858-1; M119_860-1; M119_862-1; M119_864-1; M119_866-1; Meteor (1986); Micro structure probe; MSS; Pressure, water; Profile ID; Salinity; SFB754; Temperature, water; tropical Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 798407 data points
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  • 51
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    Microstructure measurements during METEOR cruise M135 (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: 97 profiles of post-processed upper-ocean (〈250m depth) microstructure data from a loosely-tethered profiler (MSS90-D, manufactured by Sea & Sun Technology) collected in the central tropical Atlantic. Dissipation rates of turbulent kinetic energy are calculated as described in Schafstall et al. (Journal of Geophysical Research, 2010). Stored parameters include: Dissipation rate of turbulent kinetic energy in m^2 s^(-3) from 3 microstructure shear sensors, temperature, salinity and depth.
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; DATE/TIME; DEPTH, water; Dissipation rate; Event label; LATITUDE; LONGITUDE; M135; M135_236-2; M135_247-2; M135_249-5; M135_252-4; M135_254-4; M135_255-2; M135_257-2; M135_258-2; M135_284-1; M135_285-1; M135_286-1; M135_287-2; M135_288-3; M135_289-2; M135_326-1; M135_327-1; M135_328-2; M135_329-1; M135_330-1; M135_331-1; M135_332-1; M135_333-1; Meteor (1986); Micro structure probe; MSS; Pressure, water; Profile ID; Salinity; SFB754; SFB754/POSTRE-II; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 237907 data points
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  • 52
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    Abundance of particles measured by underwater vision profiler (UVP5) during L'Atalante cruise Cassiopee (2017)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: CASSIOPEE; CASSIOPEE_01; CASSIOPEE_02; CASSIOPEE_05; CASSIOPEE_06; CASSIOPEE_07; CASSIOPEE_11; CASSIOPEE_13; CASSIOPEE_14; CASSIOPEE_16; CASSIOPEE_20; CASSIOPEE_21; CASSIOPEE_22; CASSIOPEE_23; CASSIOPEE_24; CASSIOPEE_25; CASSIOPEE_26; CASSIOPEE_27; CASSIOPEE_28; CASSIOPEE_29; CASSIOPEE_30; CASSIOPEE_31; CASSIOPEE_32; CASSIOPEE_33; CASSIOPEE_34; CASSIOPEE_35; CASSIOPEE_36; CASSIOPEE_37; CASSIOPEE_38; CASSIOPEE_39; CASSIOPEE_40; CASSIOPEE_41; CASSIOPEE_42; CASSIOPEE_43; CASSIOPEE_44; CASSIOPEE_45; CASSIOPEE_46; CASSIOPEE_47; CASSIOPEE_48; CASSIOPEE_49; CASSIOPEE_50; CASSIOPEE_51; CASSIOPEE_52; CASSIOPEE_53; CASSIOPEE_54; CASSIOPEE_55; CASSIOPEE_56; CASSIOPEE_57; CASSIOPEE_58; CASSIOPEE_59; CASSIOPEE_60; CASSIOPEE_61; CASSIOPEE_62; CASSIOPEE_63; CASSIOPEE_64; CASSIOPEE_65; CASSIOPEE_66; CASSIOPEE_67; CASSIOPEE_68; CASSIOPEE_69; CASSIOPEE_70; CASSIOPEE_71; CASSIOPEE_72; CASSIOPEE_73; CTD/Rosette; CTD-RO; DATE/TIME; Event label; GPc05; Image number/name; L Atalante; LATITUDE; LONGITUDE; Particle concentration, fractionated; Particle volume, fractionated; Pressure, water; Profile ID; Sample code/label; Sample elevation; Volume
    Type: Dataset
    Format: text/tab-separated-values, 2375700 data points
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  • 53
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    Positioning of ROV at station ALERT2018_12_1 (2019)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-10
    Keywords: ALERT2018; ALERT2018_12_1; Current meter, pitch; Current meter, roll; DATE/TIME; DEPTH, water; Distance, relative, X; Distance, relative, Y; Heading; LATITUDE; Lincoln Sea; LONGITUDE; Remote operated vehicle; ROV; Sampling on land
    Type: Dataset
    Format: text/tab-separated-values, 104330 data points
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  • 54
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    Electrical resistivity tomography profiles collected in floating electrode mode from the lagoon's water surface, Profile A'-A (2019)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: AWI_Envi; AWI_PerDyn; AWI_Perma; AWI Arctic Land Expedition; DEPTH, water; Electrical resistivity tomography; ERT; LATITUDE; Lena2017; LONGITUDE; Permafrost Research; Permafrost Research (Periglacial Dynamics) @ AWI; Polar Fox Lagoon; Polar Terrestrial Environmental Systems @ AWI; Position; ProfileA-A; Profile ID; Resistivity, apparent; RU-Land_2017_Lena
    Type: Dataset
    Format: text/tab-separated-values, 9375 data points
    Location Call Number Expected Availability
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  • 55
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    Electrical resistivity tomography profiles collected in floating electrode mode from the lagoon's water surface, Profile B-B' (2019)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: AWI_Envi; AWI_PerDyn; AWI_Perma; AWI Arctic Land Expedition; DEPTH, water; Electrical resistivity tomography; ERT; LATITUDE; Lena2017; LONGITUDE; Permafrost Research; Permafrost Research (Periglacial Dynamics) @ AWI; Polar Fox Lagoon; Polar Terrestrial Environmental Systems @ AWI; Position; ProfileB-B; Profile ID; Resistivity, apparent; RU-Land_2017_Lena
    Type: Dataset
    Format: text/tab-separated-values, 2150 data points
    Location Call Number Expected Availability
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  • 56
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    Aircraft measurements of spectral downward solar irradiance over Arctic sea ice and ocean during the HALO-(AC)³ campaign in spring 2022 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: During the HALO-(AC)³ campaign in March and April 2022 spectral solar downward irradiances were measured onboard of the High Altitude LOng range research aircraft (HALO) over the Arctic sea ice and ocean using the Spectral Modular Airborne Radiation measurement sysTem (SMART). The data set gives time series of spectral irradiances measured along the flight path of HALO on 17 days. All flights started from Kiruna, Sweden and headed into the Fram Straight and towards the central Arctic. The goal of the campaign was to study warm air intrusions and cold air outbreaks to and from the Arctic and to follow those air masses over several days with remote sensing instrumentation aboard HALO. The first research flight (RF) was RF02. RF01 was the transfer flight from Oberpfaffenhofen, Germany to Kiruna. The irradiance inlet of SMART was actively stabilized and connected to two spectrometers of which one measured radiation in the visible to near infrared range (VNIR) between 180 and 1014 nm and the other radiation in the shortwave to infrared range (SWIR) between 890 and 2200 nm. The data was merged at 990 nm and cut to 320 to 2100 nm because of high uncertainties at the spectrometer edges. The spectral resolution below 900 nm is 1nm and above 5 nm due to technical limitations of the SWIR spectrometer. The data is corrected for the dark current of the spectrometers and calibrated using in field transfer calibrations connected to a laboratory calibration after the campaign.
    Keywords: AC; AC3; airborne measurements; Aircraft; Arctic; Arctic Amplification; Atmospheric and Earth System Research with HALO – High Altitude and Long Range Research Aircraft; Binary Object; Binary Object (File Size); Date/Time of event; Date/Time of event 2; Event label; HALO; HALO_220312a; HALO_220313a; HALO_220314a; HALO_220315a; HALO_220316a; HALO_220320a; HALO_220321a; HALO_220328a; HALO_220329a; HALO_220330a; HALO_220401a; HALO_220404a; HALO_220407a; HALO_220408a; HALO_220410a; HALO_220411a; HALO_220412a; HALO_AC3; HALO-(AC)³; Image; irradiance; Latitude of event; Longitude of event; RF02; RF03; RF04; RF05; RF06; RF07; RF08; RF09; RF10; RF11; RF12; RF13; RF14; RF15; RF16; RF17; RF18; SMART; solar; spectral irradiance; SPP1294
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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    DATA PANGAEA
  • 57
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    Stable water isotopologues of arrays of high resolution 1 m snow cores from across Dronning Maud Land, East Antarctic Plateau (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: A set of 1 m firn profiles was sampled in December 2018 across a traverse of ~ 100 km near Kohnen Station to quantify stratigraphic noise in high resolution isotope records. At each of six different locations (D2, C4, C5, D7, D24, D38), 5 profiles were extracted on one line, perpendicularly to the overall large scale wind direction and with an interprofile spacing of 10 m. Each firn profile was vertically extracted from the snow surface by inserting a 1 m pipe of carbon fiber at the sidewall of a snow-pit. Vertical target resolution was 1.1 cm in the upper 16.5 cm and 3.3 cm in the lower part. Due compression and expanding while handling, transportation and cutting at site, we assume a maximum depth uncertainty from these steps of 2 cm. All samples (N = 1249) were packed in plastic bags and transported to Germany in a constantly frozen state. Measurements of the stable water isotopic composition (δ¹⁸O, δD) of the firn samples were done using a Cavity Ring-Down Spectroscopy instrument (CRDS) of PICARRO Inc (model L2140-i) in the Stable Isotope Facility at the Alfred Wegener Institute in Potsdam, Germany. Post-run correction was done as described in Münch et al., (2016 - doi:10.5194/cp-12-1565-2016). Scaling to the VSMOW/SLAP (Vienna Standard Mean Ocean Water/StandardLight Antarctic Precipitation) scale results in the δ-notation, describing the ratio of heavy to light isotopes in ‰. In-house standards were used for quality control. The mean combined measurement uncertainty is 0.07‰ for δ¹⁸O and 0.5‰ for δD (root mean square deviation, RMSD).
    Keywords: 2018_Kohnen_C4; 2018_Kohnen_C5; 2018_Kohnen_D2; 2018_Kohnen_D24; 2018_Kohnen_D38; 2018_Kohnen_D7; AWI_Envi; AWI_SPACE; Cavity Ring-Down Spectrometer (CRDS), PICARRO, L2140i; Date/Time of event; DEPTH, ice/snow; Depth, ice/snow, bottom/maximum; Depth, ice/snow, top/minimum; Deuterium excess; Deuterium excess, standard deviation; Dronning Maud Land; East Antarctic plateau; Event label; FIRNC; Firn corer; Kohnen_based; Kohnen Station; LATITUDE; Location ID; LONGITUDE; Polar Terrestrial Environmental Systems @ AWI; Position; Profile ID; Sample number; snow cores; Snow height; Space-time structure of climate change @ AWI; stable water isotopes; δ18O, water; δ18O, water, standard deviation; δ Deuterium, standard deviation; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 16237 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 58
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    Quasi-Lagrangian air mass matches during HALO-(AC)3: Matches occuring over consecutive days (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: One of the main goals of the HALO-(AC)3 Arctic airborne campaign conducted in spring 2022 was a quasi-Lagrangian sampling of air masses. This means that the same air masses were to be sampled twice. Such a measurement strategy allows for concrete observations of air mass transformations, which can for example be used to benchmark weather models. After finishing the campaign, trajectory calculations were conducted for all flights of the HALO aircraft to check whether the flight strategy was a success. For this, the trajectory calculation tool Lagranto was used in conjunction with wind fields from the ERA5 reanalysis. Latter has an output resolution of around 30 km and one hour. The hourly data was bi-linearly interpolated to one minute resolution. Air masses were initialized temporally every one minute along the flight track of HALO, and vertically every 5 hPa between 250 hPa and 10 hPa above the ground level. Horizontally, air masses were started within a 30 km radius circle centered around the location of HALO. In each circle, 30 air masses were initialized evenly spaced approximately every 10 km, allowing for a better statistical analysis. Trajectories were then calculated in one-minute steps up to 32 hours forward in time. At typical HALO flight times of up to 10 hours, around 2.7 million trajectories were calculated per research flight. A quasi-Lagrangian match is registered if the same air mass is seen again below HALO on the subsequent day and within the same 30 km radius.
    Keywords: AC; AC3; Aircraft; Arctic; Arctic Amplification; Date/Time of event; Event label; HALO; HALO_220312a; HALO_220313a; HALO_220314a; HALO_220315a; HALO_220320a; HALO_220328a; HALO_220329a; HALO_220407a; HALO_220410a; HALO_220411a; HALO_AC3; HALO-(AC)³; Image; Lagrangian data; Optional event label; RF02; RF03; RF04; RF05; RF07; RF09; RF10; RF14; RF16; RF17; Text file; trajectories
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 59
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    Oxygen microprofiles measured in situ in sediments of Kermadec Trench and adjacent abyssal plains (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: Oxygen microprofiles were measured using an autonomous benthic lander system. Once the lander had stabilized at the seabed, an array of O2 microelectrodes was vertically moved across the sediment-water interface at a predefined resolution - measurements were recorded at each depth after a delay of a few seconds. When the array had reached the maximum measuring depth, sensors were retracted to the start position, and the array was moved horizontally before the measuring routine was repeated (Glud et al. 2021). Sensor signals were converted into O2 concentrations using a linear calibration curve that was based on measurements in the bottom water of known O2 concentration and measurements in the anoxic sediment layers.
    Keywords: B_LANDER; Bottom lander; Clark type electrochemical Oxygen microsensor; Date/Time of event; Deep sea; DEPTH, sediment/rock; Elevation of event; Event label; HADAL; Hadal lander; Hadal trench; Kermadec trench; Kermadec Trench; Latitude of event; Longitude of event; microsensor; Microsensor concentration profiles; Oxygen; Profile ID; sediment; Site; Site K2; Site K3; Site K5; Site K6; Site K7; TAN1711; TAN1711_K2-1; TAN1711_K3-1; TAN1711_K4; TAN1711_K5-3; TAN1711_K6-1; TAN1711_K7-1; Tangaroa
    Type: Dataset
    Format: text/tab-separated-values, 77559 data points
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  • 60
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    One-dimensional cloud-top or surface brightness temperature with 20 Hz temporal resolution derived at flight altitude from VELOX-KT19 during the HALO-(AC)³ field campaign (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: During the HALO-(AC)³ campaign in March-April 2022 airborne observations were performed with the High Altitude LOng range research aircraft (HALO) covering the Fram Strait and north polar regions. The flight tracks covered open ocean areas, the marginal sea ice zone, and closed sea ice cover. Furthermore, cloud conditions were observed during air mass transformation events as marine cold air outbreaks and warm air intrusions. On HALO, thermal infrared radiance, spectrally integrated over the wavelength range from 9.6 µm to 11.5 µm in nadir direction (field of view of 2.3°), was measured by the infrared pyrometer KT19 (model KT19.85 II). The given dataset comprises brightness temperature measurements with a temporal resolution of 20 Hz, provided for 16 HALO research flights (RF) during HALO-(AC)³.
    Keywords: AC; AC3; Aircraft; Arctic Amplification; Atmospheric and Earth System Research with HALO – High Altitude and Long Range Research Aircraft; brightness temperature; Date/Time of event; Event label; HALO; HALO_220313a; HALO_220314a; HALO_220315a; HALO_220316a; HALO_220320a; HALO_220321a; HALO_220328a; HALO_220329a; HALO_220330a; HALO_220401a; HALO_220404a; HALO_220407a; HALO_220408a; HALO_220410a; HALO_220411a; HALO_220412a; HALO_AC3; HALO-(AC)³; Infrared radiation pyrometer, Heitronics, KT19.85II; netCDF file; netCDF file (File Size); Optional event label; RF03; RF04; RF05; RF06; RF07; RF08; RF09; RF10; RF11; RF12; RF13; RF14; RF15; RF16; RF17; RF18; SPP1294
    Type: Dataset
    Format: text/tab-separated-values, 16 data points
    Location Call Number Expected Availability
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  • 61
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    Current meter data from baited imaging lander ROBIO D15740 (2008)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: CM; Current direction; Current meter; Current meter, pitch; Current meter, roll; Current meter, tilt; Current speed; Current velocity, east-west; Current velocity, north-south; Current velocity, vertical; D15740; D297; DATE/TIME; DEPTH, water; Discovery (1962); HERMES; Hotspot Ecosystem Research on the Margins of European Seas; Nazare Canyon, off SW Portugal; Pressure, water; ROBIO; Robust Biodiversity Lander
    Type: Dataset
    Format: text/tab-separated-values, 20584 data points
    Location Call Number Expected Availability
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  • 62
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    Unknown
    (Table 2) Radiocarbon age determinations from Mamontovy Klyk (2010)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: Age, 14C AMS; Age, dated; Age, dated, error to older; Age, dated, error to younger; Age, dated, range, maximum; Age, dated, range, minimum; Age, dated material; AWI_PerDyn; AWI Arctic Land Expedition; Event label; HAND; Height above sea level; Laboratory code/label; Lena-Anabar2003; Mak-1; Mak-10; Mak-12; Mak-13; Mak-15; Mak-16; Mak-17; Mak-19; Mak-2; Mak-3; Mak-5; Mak-6; Mak-7; Mak-9; Mak-Ovrag; Mamontovy Klyk; Permafrost Research (Periglacial Dynamics) @ AWI; Profile ID; RU-Land_2003_Lena; Sample code/label; Sampling by hand
    Type: Dataset
    Format: text/tab-separated-values, 233 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 63
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    Unknown
    (Table 3.3.8) Formation and consumption of methane in the upper layer of bottom sediments on the Ob- and Yenisey profiles (2009)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: 14C uptake; Archive of Ocean Data; ARCOD; BC; Box corer; DM49; DM49-4395-1; DM49-4396-1; DM49-4397-1; DM49-4398-1; DM49-4399-1; DM49-4400BC; DM49-4402-1; DM49-4404-1; DM49-4409-1; DM49-4410-1; DM49-4414-2; DM49-4415-2; DM49-4416-2; DM49-4417-2; DM49-4418-1; Dmitry Mendeleev; Elevation of event; Event label; GC; Grab; GRAB; Gravity corer; Kara Sea; Latitude of event; Longitude of event; Methane consumption rate, integrated, sediment; Methane formation rate, integrated; Profile ID; SPASIBAIII
    Type: Dataset
    Format: text/tab-separated-values, 44 data points
    Location Call Number Expected Availability
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  • 64
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    Unknown
    Upper-ocean microstructure data from the tropical Atlantic during ANTEA cruise EGEE4 (2013)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: Antea; DATE/TIME; DEPTH, water; EGEE4; EGEE4_MSS02; EGEE4_MSS03; EGEE4_MSS04; EGEE4_MSS05; EGEE4_MSS06; EGEE4_MSS07; EGEE4_MSS08; EGEE4_MSS09; EGEE4_MSS10; EGEE4_MSS11; EGEE4_MSS12; EGEE4_MSS13; EGEE4_MSS14; EGEE4_MSS18; EGEE4_MSS19; EGEE4_MSS20; EGEE4_MSS21; EGEE4_MSS22; EGEE4_MSS23; EGEE4_MSS24; EGEE4_MSS25; EGEE4_MSS26; EGEE4_MSS27; EGEE4_MSS28; EGEE4_MSS29; EGEE4_MSS30; EGEE4_MSS31; Event label; LATITUDE; LONGITUDE; Micro structure probe; MSS; Pressure, water; Profile ID; Rate of turbulent kinetic energy dissipation; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 125794 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 65
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    Unknown
    Upper-ocean microstructure data from the tropical Atlantic during Maria S. Merian cruise MSM22 (2015)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: Brunt-Väisälä frequency, squared; Climate - Biogeochemistry Interactions in the Tropical Ocean; DEPTH, water; Event label; Maria S. Merian; Micro structure probe; MSM22; MSM22_673-7; MSM22_675-1; MSM22_677-4/5; MSM22_679-1; MSM22_681-1; MSM22_683-1; MSM22_683-11; MSM22_683-7; MSM22_684-7; MSM22_685-5; MSM22_688-3; MSM22_689-2; MSM22_691-1; MSM22_691-3; MSM22_693-1; MSM22_696-1; MSM22_703-1; MSM22_706-5; MSM22_708-1; MSM22_711-2; MSM22_712-1; MSM22_715-1; MSM22_717-1; MSM22_718-1; MSM22_719-1; MSM22_720-3; MSM22_721-1; MSM22_721-5; MSM22_723-1; MSM22_731-6; MSM22_733-1; MSM22_739-3; MSM22_741-5; MSM22_743-1; MSM22_745-1; MSM22_748-1; MSM22_751-5; MSM22_757-1; MSS; MSS_1; MSS_10; MSS_11; MSS_12; MSS_13; MSS_14; MSS_15; MSS_16; MSS_17; MSS_18; MSS_19; MSS_2; MSS_20; MSS_21; MSS_22; MSS_23; MSS_24; MSS_25; MSS_26; MSS_27; MSS_28; MSS_29; MSS_3; MSS_32; MSS_33; MSS_34; MSS_35; MSS_36; MSS_37; MSS_38; MSS_39; MSS_4; MSS_43; MSS_5; MSS_6; MSS_7; MSS_8; MSS_9; Pressure, water; Profile ID; Rate of turbulent kinetic energy dissipation; Salinity; SFB754; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 759495 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 66
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    Unknown
    Aggregate, phytoplankton and zooplankton abundance measured with an underwater vision profiler 5 (UVP5) during Maria S. Merian cruise MSM22 (2015)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD_1; CTD_10; CTD_100; CTD_101; CTD_102; CTD_103; CTD_104; CTD_105/106/107; CTD_108; CTD_109; CTD_11; CTD_110; CTD_111; CTD_112; CTD_113; CTD_114; CTD_115; CTD_14; CTD_18; CTD_2; CTD_21; CTD_22; CTD_25; CTD_27; CTD_29; CTD_3; CTD_31; CTD_32; CTD_33; CTD_34; CTD_36; CTD_37; CTD_39; CTD_4; CTD_45; CTD_47; CTD_5; CTD_50; CTD_54; CTD_57; CTD_6; CTD_61; CTD_64; CTD_66; CTD_7; CTD_75; CTD_78; CTD_8; CTD_83; CTD_86; CTD_89; CTD_9; CTD_90; CTD_91; CTD_92; CTD_93; CTD_94; CTD_95; CTD_96; CTD_97; CTD_98; CTD_99; CTD/Rosette; CTD-13; CTD-15; CTD-16; CTD-17; CTD-19; CTD-20; CTD-23; CTD-24; CTD-26; CTD-30; CTD-35; CTD-38; CTD-40; CTD-41; CTD-42; CTD-43; CTD-44; CTD-46; CTD-48; CTD-49; CTD-51; CTD-52; CTD-53; CTD-55; CTD-56; CTD-58; CTD-59; CTD-60; CTD-62; CTD-63; CTD-65; CTD-67; CTD-68; CTD-69; CTD-70; CTD-71; CTD-72; CTD-73; CTD-74; CTD-76; CTD-77; CTD-79; CTD-80; CTD-82; CTD-84; CTD-85; CTD-87; CTD-88; CTD-RO; DATE/TIME; DEPTH, water; Event label; Image number/name; Individuals per unit volume; Latitude of event; Longitude of event; Maria S. Merian; MSM22; MSM22_673-10; MSM22_673-2; MSM22_673-2b; MSM22_673-4; MSM22_673-5; MSM22_673-8; MSM22_674-1; MSM22_674-1b; MSM22_675-3; MSM22_676-1; MSM22_676-2; MSM22_677-6; MSM22_677-8; MSM22_678-1; MSM22_679-2; MSM22_680-1; MSM22_680-3; MSM22_681-2; MSM22_682-2; MSM22_682-4; MSM22_683-14; MSM22_683-16; MSM22_683-4; MSM22_683-8; MSM22_684-1; MSM22_684-6; MSM22_685-4; MSM22_685-7; MSM22_685-9; MSM22_686-1; MSM22_687-1; MSM22_688-1; MSM22_690-1; MSM22_691-2; MSM22_691-5; MSM22_692-1; MSM22_693-5; MSM22_693-6; MSM22_694-1; MSM22_695-1; MSM22_696-2; MSM22_696-5; MSM22_697-3; MSM22_698-1; MSM22_699-3; MSM22_699-4; MSM22_699-5; MSM22_699-9; MSM22_700-1; MSM22_701-1; MSM22_703-4; MSM22_703-6; MSM22_704-1; MSM22_705-1; MSM22_706-2; MSM22_706-4; MSM22_707-1; MSM22_708-2; MSM22_709-4; MSM22_710-1; MSM22_711-3; MSM22_711-8; MSM22_712-4; MSM22_712-6; MSM22_713-1; MSM22_714-1; MSM22_714-2; MSM22_716-1; MSM22_721-4; MSM22_724-1; MSM22_725-3; MSM22_726-4; MSM22_726-6; MSM22_727-1; MSM22_728-1; MSM22_728-3; MSM22_729-1; MSM22_730-1; MSM22_731-3; MSM22_731-5; MSM22_732-1; MSM22_733-2; MSM22_733-4; MSM22_734-1; MSM22_735-1; MSM22_736-1; MSM22_736-3; MSM22_737-1; MSM22_738-1; MSM22_739-1; MSM22_740-1; MSM22_741-2; MSM22_742-1; MSM22_743-2; MSM22_744-1; MSM22_745-3; MSM22_746-1; MSM22_747-1; MSM22_748-4; MSM22_749-1; MSM22_751-3; MSM22_751-6; MSM22_752-2; MSM22_753-1; MSM22_754-3; MSM22_755-4; MSM22_756-1; MSM22_757-2; MSM22_758-1; MSM22_759-1; Pressure, water; Profile ID; Sample code/label; SFB754; Volume
    Type: Dataset
    Format: text/tab-separated-values, 2036052 data points
    Location Call Number Expected Availability
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  • 67
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    Upper-ocean microstructure data from the tropical Atlantic during N/O L'Atalante cruise ATA_IFMGEOMAR_4 (2013)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: AT08_4-MSS10; AT08_4-MSS11; AT08_4-MSS12; AT08_4-MSS13; AT08_4-MSS14; AT08_4-MSS15; AT08_4-MSS16; AT08_4-MSS17; AT08_4-MSS18; AT08_4-MSS19; AT08_4-MSS4; AT08_4-MSS5; AT08_4-MSS6; AT08_4-MSS7; AT08_4-MSS8; AT08_4-MSS9; ATA08_04; Climate - Biogeochemistry Interactions in the Tropical Ocean; DATE/TIME; DEPTH, water; Event label; IFM-GEOMAR/4; L Atalante; LATITUDE; LONGITUDE; Micro structure probe; MSS; Oxygen; Pressure, water; Profile ID; Rate of turbulent kinetic energy dissipation; Salinity; SFB754; Temperature, water; Turbidity
    Type: Dataset
    Format: text/tab-separated-values, 237737 data points
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  • 68
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    Unknown
    (Table 4) Satellite-derived BrO profiles corresponding to NASA WP-3D profile locations in April 2008 (2012)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: Albedo at given wavelength; Barrow_Utqiagvik; Barrow, Alaska, USA; Bromine monoxide, vertical column density; DATE/TIME; LATITUDE; LONGITUDE; MULT; Multiple investigations; Pressure, difference; Profile ID; Ratio; Satellite UV nadir sensor GOME-2; Satellite UV nadir sensor OMI; Solar zenith angle
    Type: Dataset
    Format: text/tab-separated-values, 222 data points
    Location Call Number Expected Availability
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  • 69
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    Unknown
    Physical oceanography of a 24 hours vertical yo-yo CTD cast during METEOR cruise M183 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: Physical oceanography data was acquired by a ship-based CTD-Rosette-System onboard RV METEOR during research cruise M183. A 24 hours yo-yo CTD cast was performed with a total of 20 vertical profiles.
    Keywords: AIMS3; CDRmare; Conductivity; CTD, SEA-BIRD SBE 9 plus; CTD/Rosette; CTD profiles; CTD-RO; DAM CDRmare - AIMS3: Alternate scenarios, Innovative technologies, and Monitoring approaches for Sub-Seabed Storage of carbon dioxide; DATE/TIME; DEPTH, water; Dissolved Oxygen Sensor, Sea-Bird, SBE 43; GeoB25135-1; LATITUDE; LONGITUDE; M183; M183_35-1; Meteor (1986); Mid-Atlantic Ridge; Oxygen; Oxygen saturation; Pressure, water; Profile ID; Research Mission of the German Marine Research Alliance (DAM): Marine carbon sinks in decarbonisation pathways; RIFLOR_1; Salinity; Station label; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 651880 data points
    Location Call Number Expected Availability
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  • 70
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    Unknown
    Radar reflectivities at 94 GHz and microwave brightness temperature measurements at 89 GHz during the HALO-AC3 Arctic airborne campaign (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: The published data set consists of measurements performed by the active cloud radar as part of the Microwave Radar and radiometer for Arctic Clouds (MiRAC; Mech et al., 2019) operated on board the Polar 5 research aircraft during 11 flights of the HALO-AC3 airborne campaign, carried out in early spring 2022 northwest of Svalbard (Norway). The measurement campaign is embedded in the Transregional Collaborative Research Centre TR 172 (ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC)3. The published data set consists of radar reflectivities of the FMCW 94 GHz cloud radar transformed to nadir view and brightness temperature measurements at 89 GHz with a 25 deg backward inclination with respect to the aircraft's fuselage. It should be considered that the brightness temperatures have not been corrected for aircraft attitude. The data set has been quality-checked and is available in NetCDF format for each flight separately. Details on the instrument can be found in Mech et al. (2019).
    Keywords: AC; AC3; airborne; Aircraft; Arctic; Arctic Amplification; brightness temperature; clouds; CloudSat; CloudSat cloud-profiling radar; Date/Time of event; Doppler cloud radar, Radiometer Physics GmbH, RPG-FMCW-94-SP; Event label; HALO-AC3_20220320_P5_RF01; HALO-AC3_20220322_P5_RF03; HALO-AC3_20220325_P5_RF04; HALO-AC3_20220328_P5_RF05; HALO-AC3_20220329_P5_RF07; HALO-AC3_20220330_P5_RF08; HALO-AC3_20220401_P5_RF09; HALO-AC3_20220404_P5_RF10; HALO-AC3_20220405_P5_RF11; HALO-AC3_20220407_P5_RF12; HALO-AC3_20220410_P5_RF13; microwave; microwave radiometer; MiRAC-A; netCDF file; netCDF file (File Size); Optional event label; P5_232_HALO_2022_2203200401; P5_232_HALO_2022_2203220602; P5_232_HALO_2022_2203250701; P5_232_HALO_2022_2203280801; P5_232_HALO_2022_2203291002; P5_232_HALO_2022_2203301101; P5_232_HALO_2022_2204011201; P5_232_HALO_2022_2204041301; P5_232_HALO_2022_2204051401; P5_232_HALO_2022_2204071501; P5_232_HALO_2022_2204101601; P5-232_HALO_2022; Polar 5; POLAR 5; radar; radar reflectivity; remote sensing; Svalbard
    Type: Dataset
    Format: text/tab-separated-values, 11 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 71
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    Unknown
    Cloud mask and cloud top altitude from the AMALi airborne lidar on Polar 5 during HALO-AC3 in spring 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: The data set contains the cloud mask and cloud top altitude derived from measurements with the Airborne Mobile Aerosol Lidar (AMALi; Stachlewska et al., 2010) operated on board the Polar 5 research aircraft during 11 flights of the HALO-AC3 airborne campaign carried out in early spring 2022 northwest of Svalbard (Norway). The measurement campaign is embedded in the Transregional Collaborative Research Centre TR 172 (ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC)3. It should be considered that the measurements have not been corrected for aircraft attitude. The data set has been quality-checked and is available in NetCDF format for each flight separately.
    Keywords: AC; AC3; airborne; airborne lidar; Airborne Mobile Aerosol Lidar; aircraft; Aircraft; AMALi; Arctic; Arctic Amplification; clouds; cloud top altitude; Date/Time of event; Event label; HALO-(AC)³; HALO-AC3_20220320_P5_RF01; HALO-AC3_20220322_P5_RF03; HALO-AC3_20220325_P5_RF04; HALO-AC3_20220328_P5_RF05; HALO-AC3_20220329_P5_RF07; HALO-AC3_20220330_P5_RF08; HALO-AC3_20220401_P5_RF09; HALO-AC3_20220404_P5_RF10; HALO-AC3_20220405_P5_RF11; HALO-AC3_20220407_P5_RF12; HALO-AC3_20220410_P5_RF13; Lidar; mixed-phase clouds; netCDF file; netCDF file (File Size); Optional event label; P5_232_HALO_2022_2203200401; P5_232_HALO_2022_2203220602; P5_232_HALO_2022_2203250701; P5_232_HALO_2022_2203280801; P5_232_HALO_2022_2203291002; P5_232_HALO_2022_2203301101; P5_232_HALO_2022_2204011201; P5_232_HALO_2022_2204041301; P5_232_HALO_2022_2204051401; P5_232_HALO_2022_2204071501; P5_232_HALO_2022_2204101601; P5-232_HALO_2022; Polar 5; POLAR 5; Svalbard
    Type: Dataset
    Format: text/tab-separated-values, 11 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 72
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    Unknown
    2D multichannel seismic reflection processed data (GI Gun working area dataset) of RV SONNE during cruise SO292, Queensland Plateau, Coral Sea (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: The seismic data were collected on the Queensland Plateau during RV SONNE expedition SO292 in spring 2022 (Betzler et al., 2022). The seismic signals were generated by two simultaneously released GI-Gun (true GI-Modus; primary volume of 45 in3) and a Mini-GI source (true GI-Modus; primary volume of 15 in3), towed 41 m behind the ship's stern and in a water depth of ca. 2.5 m. Sources were released by a GPS-controlled PC every 18.75 m at 160 bar. To synchronize seismic sources and trigger the recording system, a SureShot trigger system was used. This system allowed to display and adjust the source signatures measured by hydrophones attached to the seismic sources for each shot and therefore enabled an online quality control during the watchkeeping. The streamer was a Hydroscience Technologies SeaMUX 144-channel system with an active length of 600 m and symmetric group interval. The recording length was set to 4 s, the sample interval was 1 ms. Raw data were stored in SEG-Y format. All seismic profiles were processed on board with the 2021 VISTA® desktop seismic data processing software by Schlumberger. The main processing steps were Bandpass filtering (18/25 – 350/450 Hz), velocity analysis (every 25-500 CMP), spherical divergence correction, NMO-correction and stack, FD migration, topmute, data enhancement (white noise removal, fx deco), scaling. Processed data contained in this dataset are stored as SEG-Y. UTM coordinates (UTM zone 55) are stored at trace header position 181 (4-byte) and 185 (4-byte).
    Keywords: Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); Coral Sea; ICECARB; Profile ID; SEIS; Seismic; Seismic reflection profile; SEISREFL; SO292; SO292_43-1; Sonne_2; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file recording, latitude; Stop of data file recording, longitude
    Type: Dataset
    Format: text/tab-separated-values, 42 data points
    Location Call Number Expected Availability
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  • 73
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    Unknown
    Microwave brightness temperature measurements during the HALO-AC3 Arctic airborne campaign in early spring 2022 out of Svalbard (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: The data set contains measurements performed by the passive radiometer Humidity And Temperature PROfiler (HATPRO; Rose et al., 2005) operated on board the Polar 5 research aircraft during 13 flights of the HALO-AC3 airborne campaign, carried out in early spring 2022 northwest of Svalbard (Norway). The measurement campaign is embedded in the Transregional Collaborative Research Centre TR 172 (ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC)3. The published data set consists of brightness temperature measurements at the nadir view with respect to the aircraft's fuselage at seven frequencies in the 22.24 GHz water vapor absorption band and seven at the 60 GHz oxygen absorption complex. It should be considered that the brightness temperatures have not been corrected for aircraft attitude. The data set has been quality-checked and is available separately in NetCDF format for each flight.
    Keywords: AC; AC3; airborne; Aircraft; Arctic; Arctic Amplification; brightness temperature; clouds; Date/Time of event; Event label; HALO-(AC)³; HALO-AC3_20220320_P5_RF01; HALO-AC3_20220322_P5_RF02; HALO-AC3_20220322_P5_RF03; HALO-AC3_20220325_P5_RF04; HALO-AC3_20220328_P5_RF05; HALO-AC3_20220329_P5_RF06; HALO-AC3_20220329_P5_RF07; HALO-AC3_20220330_P5_RF08; HALO-AC3_20220401_P5_RF09; HALO-AC3_20220404_P5_RF10; HALO-AC3_20220405_P5_RF11; HALO-AC3_20220407_P5_RF12; HALO-AC3_20220410_P5_RF13; HATPRO; Humidity And Temperature PROfiler, Radiometer Physics GmbH; netCDF file; netCDF file (File Size); Optional event label; P5_232_HALO_2022_2203200401; P5_232_HALO_2022_2203220501; P5_232_HALO_2022_2203220602; P5_232_HALO_2022_2203250701; P5_232_HALO_2022_2203280801; P5_232_HALO_2022_2203290901; P5_232_HALO_2022_2203291002; P5_232_HALO_2022_2203301101; P5_232_HALO_2022_2204011201; P5_232_HALO_2022_2204041301; P5_232_HALO_2022_2204051401; P5_232_HALO_2022_2204071501; P5_232_HALO_2022_2204101601; P5-232_HALO_2022; Polar 5; POLAR 5; remote sensing; Svalbard
    Type: Dataset
    Format: text/tab-separated-values, 13 data points
    Location Call Number Expected Availability
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  • 74
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    Unknown
    Single channel seismic reflection processed data (GI Gun entire dataset) of RV SONNE during cruise SO240 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: The research cruise SO-240 took place from May 3rd, 2015 until June 16th, 2015 at about 12° N and 118° W, approximately 900 nm offshore Mexico in the equatorial NE Pacific. This cruise started and ended in the port of Manzanillo on the west coast of Mexico. During the cruise a total of 636 km of single channel seismic data (SCS) were acquired on 18 profiles. For seismic signal generation a single GI gun was used with a volume of 3.4 liter. Data were acquired with a 101 m active length streamer with 16 channels. Details of the recording system can be found in Kuhn (2015). The recorded data were processes with VISTA. All 16 channels were binned, stacked, band-pass filtered (Ormsby 10/15 - 80/90) and time migrated with a sound velocity of 1500 m/s.
    Keywords: Binary Object; Common Midpoint; Eastern Equatorial Pacific; Event label; Location; North Pacific Ocean; Profile/sampling length; Profile ID; reflection seismics; Seismic reflection profile; SEISREFL; SO240; SO240_11-1; SO240_17-1; SO240_29-1; SO240_54-1; SO240_82-1; Sonne_2; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; 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, 216 data points
    Location Call Number Expected Availability
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  • 75
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    Unknown
    Polarization measurements with the hyperspectral and polarized imaging system specMACS during the HALO-(AC)3 field campaign (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: During the HALO-(AC)3 campaign, the hyperspectral and polarized imaging system specMACS was integrated into the German research aircraft HALO. This dataset contains videos with measurements of the two polarization resolving cameras of specMACS which measure the two-dimensional distribution of the I, Q, and U components of the Stokes vector at red, green, and blue color channels with an acquisition rate of 8Hz. Both cameras are operated in a nadir looking perspective and have a combined field of view of 91 x 117 degree in along and across track direction. The videos include RGB images as well as images of the degree of linear polarization derived from the measurements.
    Keywords: AC; AC3; airborne measurements; Aircraft; Arctic; Arctic Amplification; Atmospheric and Earth System Research with HALO – High Altitude and Long Range Research Aircraft; Date/Time of event; Event label; HALO; HALO_220311a; HALO_220312a; HALO_220313a; HALO_220314a; HALO_220315a; HALO_220316a; HALO_220320a; HALO_220321a; HALO_220328a; HALO_220329a; HALO_220330a; HALO_220401a; HALO_220404a; HALO_220407a; HALO_220408a; HALO_220410a; HALO_220411a; HALO_220412a; HALO_220414a; HALO_AC3; HALO-(AC)³; Hyperspectral and polarization resolving imager, Munich Aerosol Cloud Scanner; Latitude of event; Longitude of event; Optional event label; polarization; RF01; RF02; RF03; RF04; RF05; RF06; RF07; RF08; RF09; RF10; RF11; RF12; RF13; RF14; RF15; RF16; RF17; RF18; RF19; specMACS; SPP1294; Video, earth surface (water, ice, land); Video, earth surface (water, ice, land) (File Size)
    Type: Dataset
    Format: text/tab-separated-values, 38 data points
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  • 76
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    Spectral radiance measurements with the hyperspectral and polarized imaging system specMACS during the HALO-(AC)3 field campaign (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: During the HALO-(AC)3 campaign, the hyperspectral and polarized imaging system specMACS was integrated into the German research aircraft HALO in a nadir-looking perspective. This dataset contains calibrated spectral radiances in mW/(m2 nm sr) for the shortwave infrared wavelength range between about 1000 and 2400nm measured by the SWIR spectrometer of specMACS. The spectrometer has 320 spatial pixels along a spatial line oriented in across-track direction with a field of view of 35.5 degree and measures at an acquisition frequency of 30Hz. The calibration of the data was performed as described in Ewald et al. (2016). Because of the large size of the data, the calibrated radiances for each research flight were split into different files along the wavelength dimension. Each dataset contains measurements of 20 wavelength channels for the wavelength range given in the file name. Additionally, the dataset includes georeferencing information with viewing zenith and viewing azimuth angles as well as sensor latitude, longitude, and height above WGS84 for every measured pixel as a separate file for every flight. Note that during the first three flights there was some icing of the window in front of the cameras which is visible in the data.
    Keywords: AC; AC3; airborne measurements; Aircraft; Arctic; Arctic Amplification; Atmospheric and Earth System Research with HALO – High Altitude and Long Range Research Aircraft; DATE/TIME; Event label; File content; HALO; HALO_220311a; HALO_220312a; HALO_220313a; HALO_220314a; HALO_220315a; HALO_220316a; HALO_220320a; HALO_220321a; HALO_220328a; HALO_220329a; HALO_220330a; HALO_220401a; HALO_220404a; HALO_220407a; HALO_220408a; HALO_220410a; HALO_220411a; HALO_220412a; HALO_220414a; HALO_AC3; HALO-(AC)³; Hyperspectral and polarization resolving imager, Munich Aerosol Cloud Scanner; Latitude of event; Longitude of event; netCDF file; Optional event label; RF01; RF02; RF03; RF04; RF05; RF06; RF07; RF08; RF09; RF10; RF11; RF12; RF13; RF14; RF15; RF16; RF17; RF18; RF19; specMACS; spectral radiance; SPP1294
    Type: Dataset
    Format: text/tab-separated-values, 456 data points
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  • 77
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    Oxygen microprofiles measured in situ in sediments of Atacama Trench and adjacent abyssal plains (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: Oxygen microprofiles were measured using an autonomous benthic lander system. Once the lander had stabilized at the seabed, an array of O2 microelectrodes was vertically moved across the sediment-water interface at a predefined resolution - measurements were recorded at each depth after a delay of a few seconds. When the array had reached the maximum measuring depth, sensors were retracted to the start position, and the array was moved horizontally before the measuring routine was repeated (Glud et al. 2021). Sensor signals were converted into O2 concentrations using a linear calibration curve that was based on measurements in the bottom water of known O2 concentration and measurements in the anoxic sediment layers.
    Keywords: B_LANDER; Bottom lander; Clark type electrochemical Oxygen microsensor; Date/Time of event; Deep sea; DEPTH, sediment/rock; Elevation of event; Event label; Hadal trench; Latitude of event; Longitude of event; microsensor; Microsensor concentration profiles; Oxygen; Profile ID; sediment; Site; SO261; SO261_101-1; SO261_111-1; SO261_16-1; SO261_29-1; SO261_4-1; SO261_43-1; SO261_58-1; SO261_69-1; SO261_84-1; Sonne_2
    Type: Dataset
    Format: text/tab-separated-values, 322278 data points
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  • 78
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    Spectral solar cloud top radiance measured by airborne spectral imaging (AISA Eagle) during the HALO-(AC)³ campaign in 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: In this dataset we provide hyper-spectral fields of visible and near infrared cloud top radiance observed by the AISA Eagle instrument. This instrument was part of the HALO-(AC)³ campaign in March/April 2022. The dataset contains hyperspectral fields of visible and near infrared cloud top radiance observed. AISA Eagle uses a single-line push broom sensor comprising 1024 across-track pixels, it captures measurements of 2D fields of upward radiance across 504 channels spanning wavelengths from 400 nm to 993 nm. Featuring a 36.3° field of view (FOV), it achieves a spatial resolution below 1 meter for targets positioned 1 kilometer away. Throughout HALO-(AC)³, it operated at a frame rate of 20 Hz.
    Keywords: AC; AC3; Aircraft; Arctic; Arctic Amplification; Arctic clouds; Cloud top radiance; Date/Time of event; Event label; HALO-(AC)³; HALO-AC3_20220320_P5_RF01; HALO-AC3_20220322_P5_RF02; HALO-AC3_20220322_P5_RF03; HALO-AC3_20220325_P5_RF04; HALO-AC3_20220328_P5_RF05; HALO-AC3_20220330_P5_RF08; HALO-AC3_20220405_P5_RF11; HALO-AC3_20220407_P5_RF12; HALO-AC3_20220410_P5_RF13; netCDF file; netCDF file (File Size); Optional event label; P5_232_HALO_2022_2203200401; P5_232_HALO_2022_2203220501; P5_232_HALO_2022_2203220602; P5_232_HALO_2022_2203250701; P5_232_HALO_2022_2203280801; P5_232_HALO_2022_2203301101; P5_232_HALO_2022_2204051401; P5_232_HALO_2022_2204071501; P5_232_HALO_2022_2204101601; P5-232_HALO_2022; POLAR 5; radiation
    Type: Dataset
    Format: text/tab-separated-values, 9 data points
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  • 79
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    Current meter data from baited imaging lander ROBIO D15732 (2008)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: CM; Current direction; Current meter; Current meter, pitch; Current meter, roll; Current meter, tilt; Current speed; Current velocity, east-west; Current velocity, north-south; Current velocity, vertical; D15732; D297; DATE/TIME; DEPTH, water; Discovery (1962); HERMES; Hotspot Ecosystem Research on the Margins of European Seas; Nazare Canyon, off SW Portugal; Pressure, water; ROBIO; Robust Biodiversity Lander
    Type: Dataset
    Format: text/tab-separated-values, 20520 data points
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  • 80
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    Current meter data from baited imaging lander ROBIO D15769 (2008)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: CM; Current direction; Current meter; Current meter, pitch; Current meter, roll; Current meter, tilt; Current speed; Current velocity, east-west; Current velocity, north-south; Current velocity, vertical; D15769; D297; DATE/TIME; DEPTH, water; Discovery (1962); HERMES; Hotspot Ecosystem Research on the Margins of European Seas; Nazare Canyon, off SW Portugal; Pressure, water; ROBIO; Robust Biodiversity Lander
    Type: Dataset
    Format: text/tab-separated-values, 9684 data points
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  • 81
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    (Table 3.3.7) Content and isotopic composition of organic carbon in surface layer sediments on the Ob- and Yenisey profiles (2009)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: Archive of Ocean Data; ARCOD; BC; Box corer; Carbon, organic, total; Carbon analyser AN-7529, 7560; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DM49; DM49-4395-1; DM49-4396-1; DM49-4397-1; DM49-4398-1; DM49-4399-1; DM49-4400BC; DM49-4410-1; DM49-4412-1; DM49-4414-2; Dmitry Mendeleev; Elevation of event; Event label; Grab; GRAB; Kara Sea; Latitude of event; Longitude of event; Mass spectrometry; Profile ID; SPASIBAIII; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 44 data points
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  • 82
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    (Table 3.3.10b) Methane concentrations in upper layer bottom sediments on the Ob- and Yenisey profiles (2011)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: Archive of Ocean Data; ARCOD; BC; Box corer; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DM49; DM49-4396-1; DM49-4397-1; DM49-4398-1; DM49-4399-1; DM49-4400BC; DM49-4402-1; DM49-4404-1; DM49-4408-1; DM49-4409-1; DM49-4414-2; DM49-4415-2; DM49-4416-2; DM49-4417-2; DM49-4418-1; Dmitry Mendeleev; Elevation of event; Event label; Gas chromatography; GC; Grab; GRAB; Gravity corer; Kara Sea; Latitude of event; Longitude of event; Methane; Profile ID; SPASIBAIII
    Type: Dataset
    Format: text/tab-separated-values, 56 data points
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  • 83
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    (Table 4) Chemical composition of interstitial waters from bottom sediments of the Chukchi Sea (2007)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: Alkalinity, total; Ammonium; Archive of Ocean Data; ARCOD; Calcium; Chloride; Chukchi Sea; Colorimetry; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Elevation of event; Event label; Iodide; Ion chromatography; Latitude of event; LI-ChS-106; LI-ChS-107; LI-ChS-11; LI-ChS-13; LI-ChS-15; LI-ChS-17; LI-ChS-18; LI-ChS-20; LI-ChS-22; LI-ChS-24; LI-ChS-25; LI-ChS-62; LI-ChS-85; Longitude of event; Magnesium; MULT; Multiple investigations; Phosphorus; Profile ID; Silicon; Sulfate; Titration; Trilonometry
    Type: Dataset
    Format: text/tab-separated-values, 380 data points
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  • 84
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    Movement of glacier Pasterzenzunge in 2012 (2013)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: DATE/TIME; Difference; ELEVATION; OBSE; Observation; Pasterze, Hohe Tauern, Glocknergruppe, Austria; Pasterzenzunge; Profile ID
    Type: Dataset
    Format: text/tab-separated-values, 15 data points
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  • 85
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    (Table II) Geochemistry of selected soils in western Wright Valley, Antarctica (2009)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: Calcium; Chloride; Conductivity of soil/sediment; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Event label; Flame atomic absorption spectrometry (FAAS); Ion chromatography; Latitude of event; Longitude of event; Magnesium; Nitrogen in nitrate; pH, soil; Potassium; Profile ID; Salt content per area; Sodium; SOIL; Soil horizon; Soil profile; Sulfate; WrightV_Dais; WrightV_Labyrinth; WrightV_North-Fork; WrightV_South-Fork; Wright Valley, East Antarctica
    Type: Dataset
    Format: text/tab-separated-values, 1105 data points
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  • 86
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    Zooplankton RNA/DNA measurements during METEOR cruise M83/1 (2013)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; Date/Time of event; Deoxyribonucleic acid; Dry mass; Event label; GO-FLO 5; Individuals; Latitude of event; Longitude of event; M83/1; M83/1_773; M83/1_780; M83/1_786; M83/1_796; M83/1_799; M83/1_805; M83/1_815; M83/1_824; M83/1_830; M83/1_838; M83/1_846; M83/1_853; M83/1_859; M83/1_865; M83/1_871; M83/1_877; M83/1_883; M83/1_891; M83/1_896; M83/1_903; M83/1_908; M83/1_913; M83/1_921; M83/1_929; M83/1_935; Meteor (1986); Profile ID; Ribonucleic acid; SFB754; Species; WP2; WP-2 Plankton Net 1; WP-2 Plankton Net 10; WP-2 Plankton Net 11; WP-2 Plankton Net 12; WP-2 Plankton Net 13; WP-2 Plankton Net 14; WP-2 Plankton Net 15; WP-2 Plankton Net 16; WP-2 Plankton Net 17; WP-2 Plankton Net 18; WP-2 Plankton Net 19; WP-2 Plankton Net 2; WP-2 Plankton Net 20; WP-2 Plankton Net 21; WP-2 Plankton Net 22; WP-2 Plankton Net 23; WP-2 Plankton Net 3; WP-2 Plankton Net 4; WP-2 Plankton Net 5; WP-2 Plankton Net 6; WP-2 Plankton Net 7; WP-2 Plankton Net 8; WP-2 Plankton Net 9; WP-2 towed closing plankton net
    Type: Dataset
    Format: text/tab-separated-values, 1800 data points
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  • 87
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    Elemental analysis of the total carbon, total nitrogen and total sulphur on mumiyo deposit DallSW1830 from Dallmann Berge (2018)
    PANGAEA
    In:  Institute of Geology and Mineralogy, University of Cologne
    Details
    Publication Date: 2024-06-10
    Keywords: Carbon, total; Carbon, total, standard deviation; Carbon/Nitrogen ratio; Carbon/Nitrogen ratio, standard deviation; Carbon and nitrogen and sulfur (CNS) isotope element analyzer, Elementar, Vario Micro Cube; Dallmann-Berge/SW; Dall-SW-1830; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; GeoMaud95/96; MULT; Multiple investigations; Nitrogen, total; Nitrogen, total, standard deviation; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; Profile ID; Sampling on land; SPP1158; Sulfur, standard deviation; Sulfur, total
    Type: Dataset
    Format: text/tab-separated-values, 132 data points
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  • 88
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    UNIBOOM seismic profiles from the Bermuda North Lagoon (tiff-files 4 x horizontal compressed) (2018)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: BNS_GB1; DATE/TIME; Figure; File name; File size; Grab; GRAB; LATITUDE; Latitude 2; LONGITUDE; Longitude 2; Northern Lagoon Bermuda; Profile ID; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 49 data points
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  • 89
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    Dissolved organic matter measurements off Peru during METEOR cruise M93 from pump-CTD (2019)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: amino acids; carbohydrates; Carbon, organic, dissolved; Climate - Biogeochemistry Interactions in the Tropical Ocean; DATE/TIME; DEPTH, water; Dissolved Organic Matter; eastern tropical South Pacific; Event label; LATITUDE; LONGITUDE; M93; M93_295-2; M93_318-3; M93_347-3; M93_391-4; M93_399-4; M93_411-6; M93_441-2; M93_463-2; Meteor (1986); Nitrogen, total dissolved; PCTD-RO; Profile ID; PumpCTD/Rosette; Sample code/label; SFB754; South Pacific Ocean
    Type: Dataset
    Format: text/tab-separated-values, 965 data points
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  • 90
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    Spatial comparison of stable water isotope data of ice wedges in Siberia (Figures 7, 8 and 9) (2019)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: Age, comment; AWI_Envi; AWI_Perma; AWI Arctic Land Expedition; Batagay; Belkovsky; Bolshoy_Lyakhovsky; BuorKhayaPensinsula; Bykovsky_Peninsula; Deuterium excess; Deuterium excess, standard deviation; Duvanny_Yar; Event label; HAND; Ice wedges; Identification; Khardang; Kotelny; Kurungnakh_Island; LATITUDE; Lena2007; Lena2013; LONGITUDE; Mamontov_Klyk; Mamontova_Gora; MULT; Multiple investigations; Muostakh; Nagym_Lena; Novaya_Sibir; Number of measurements; Oyogos_Yar_Camp; Oyogos Yar, East Siberia, Russia; Permafrost; Permafrost Research; Polar Terrestrial Environmental Systems @ AWI; Profile ID; Reference/source; RHM_ID24263; RU-Land_2007_Lena; RU-Land_2013_Lena; Russia; Sakha Republic, Russia; Sampling by hand; SAT; Satellite remote sensing; Siberia, Russia; Siberian Arctic; Site; Sobo_Sise; Sobo Sise Island, Lena Delta; stable water isotopes; Stolbovoy; Tanda; winter climate reconstruction; δ18O, standard deviation; δ18O, water; δ Deuterium, standard deviation; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 225 data points
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  • 91
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    Dissolved organic matter measurements off Peru during METEOR cruise M93 from CTD (2019)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: Concentrations of dissolved organic carbon (DOC), total dissolved nitrogen (TDN), amino acids and carbohydrates.Values with 〈0.01 are below detection limit. Detection limit is 2 nM for amino acids , 10 nM for carbohydrates, 1µM for DOC and 2 µM for TDN.
    Keywords: Alanine; amino acids; Arabinose/Galactosamine; Arginine; Aspartic acid; carbohydrates; Carbon, organic, dissolved; Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD/Rosette; CTD005; CTD008; CTD013; CTD017; CTD021; CTD031; CTD033; CTD035; CTD045; CTD049; CTD053; CTD061; CTD062; CTD063-64; CTD065; CTD069; CTD071; CTD076; CTD077; CTD079; CTD081; CTD082; CTD083; CTD089; CTD090; CTD091; CTD092; CTD093; CTD096; CTD097; CTD098; CTD103; CTD104; CTD105; CTD107; CTD131; CTD132; CTD133; CTD134; CTD140; CTD141; CTD143; CTD144; CTD146; CTD147; CTD155; CTD156; CTD157; CTD-RO; DATE/TIME; DEPTH, water; Dissolved Organic Matter; Event label; Fucose; Galactosamine; Galactose; Galacturonic acid; gamma-Aminobutyric acid; Gas chromatography; Gluconic acid; Glucosamine; Glucose; Glucuronic acid; Glutamic acid; Glycine; Isoleucine; LATITUDE; Leucine; LONGITUDE; M93; M93_295-1; M93_298-1; M93_303-2; M93_307-1; M93_311-1; M93_319-1; M93_321-1; M93_323-1; M93_334-1; M93_338-1; M93_342-1; M93_349-3; M93_350-1; M93_351-1; M93_354-1; M93_359-2; M93_361-2; M93_367-1; M93_368-1; M93_369-1; M93_376-2; M93_378-2; M93_380-3; M93_386-1; M93_387-1; M93_388-1; M93_389-1; M93_390-1; M93_392-1; M93_393-1; M93_394-1; M93_404-1; M93_405-1; M93_406-1; M93_408-1; M93_433-1; M93_434-1; M93_435-1; M93_436-1; M93_447-1; M93_448-1; M93_456-1; M93_457-1; M93_459-1; M93_460-1; M93_466-1; M93_467-1; M93_468-1; Mannose/Xylose; Meteor (1986); Nitrogen, total dissolved; Peru; Phenylalanine; Profile ID; Rhamnose; Sample code/label; Serine; SFB754; South Pacific Ocean; Threonine; Total carbon analyzer, TOC-500; Tyrosine; Valine
    Type: Dataset
    Format: text/tab-separated-values, 8764 data points
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  • 92
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    Physical Oceanography (CTD) during Maria S. Merian cruise MSM72 (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: CTD, Sea-Bird SBE 911plus; CTD, underway; CTD/Rosette; CTD-RO; CTD-UW; DATE/TIME; DEPTH, water; Event label; LATITUDE; LONGITUDE; long term changes; Maria S. Merian; Mediterranean Sea; MSM72; MSM72_100-1; MSM72_10-1; MSM72_101-1; MSM72_102-1; MSM72_103-1; MSM72_104-1; MSM72_105-1; MSM72_106-1; MSM72_107-1; MSM72_108-1; MSM72_109-1; MSM72_1-1; MSM72_110-1; MSM72_11-1; MSM72_111-1; MSM72_11-2; MSM72_112-1; MSM72_113-2; MSM72_114-1; MSM72_115-1; MSM72_116-1; MSM72_117-1; MSM72_118-1; MSM72_119-1; MSM72_120-1; MSM72_12-1; MSM72_121-1; MSM72_122-1; MSM72_123-1; MSM72_124-1; MSM72_125-1; MSM72_126-1; MSM72_127-1; MSM72_128-1; MSM72_129-1; MSM72_130-2; MSM72_13-1; MSM72_131-1; MSM72_132-1; MSM72_133-1; MSM72_134-1; MSM72_135-1; MSM72_136-1; MSM72_14-1; MSM72_15-1; MSM72_16-1; MSM72_17-1; MSM72_18-1; MSM72_19-1; MSM72_20-1; MSM72_2-1; MSM72_21-1; MSM72_22-1; MSM72_23-1; MSM72_24-1; MSM72_25-1; MSM72_26-1; MSM72_27-1; MSM72_28-1; MSM72_30-1; MSM72_3-1; MSM72_31-1; MSM72_32-1; MSM72_33-1; MSM72_34-1; MSM72_35-1; MSM72_36-1; MSM72_37-1; MSM72_38-1; MSM72_39-1; MSM72_40-1; MSM72_4-1; MSM72_41-1; MSM72_42-1; MSM72_43-1; MSM72_44-1; MSM72_45-1; MSM72_46-1; MSM72_47-2; MSM72_48-1; MSM72_49-1; MSM72_50-1; MSM72_5-1; MSM72_51-1; MSM72_52-1; MSM72_53-1; MSM72_54-1; MSM72_55-1; MSM72_56-1; MSM72_57-1; MSM72_58-1; MSM72_59-1; MSM72_60-1; MSM72_6-1; MSM72_61-1; MSM72_62-1; MSM72_63-1; MSM72_64-1; MSM72_65-1; MSM72_66-1; MSM72_67-1; MSM72_68-1; MSM72_69-1; MSM72_70-1; MSM72_7-1; MSM72_71-1; MSM72_72-1; MSM72_73-1; MSM72_74-1; MSM72_75-1; MSM72_75-2; MSM72_76-1; MSM72_77-2; MSM72_79-1; MSM72_80-1; MSM72_8-1; MSM72_81-1; MSM72_82-1; MSM72_83-1; MSM72_84-1; MSM72_85-1; MSM72_86-1; MSM72_87-1; MSM72_88-1; MSM72_89-1; MSM72_90-1; MSM72_9-1; MSM72_92-1; MSM72_93-1; MSM72_94-1; MSM72_95-1; MSM72_96-1; MSM72_97-2; MSM72_98-1; MSM72_99-1; Oxygen; Pressure, water; Profile ID; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 1433895 data points
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  • 93
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    Historical upper-air measurements during intercomparison campaign COMP001 in 1935 (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: COMP001nor; COMP001swe; DATE/TIME; Elevation of event; Event label; Filipstad; Geopotential height above sea level; historical upper-air measurements; Humidity, relative; intercomparison campaigns; Jaumotte Meteorograph; JMET; Latitude of event; Longitude of event; Nesbyen; Pressure, at given altitude; Profile ID; radiosondes; Temperature, air
    Type: Dataset
    Format: text/tab-separated-values, 5194 data points
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  • 94
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    Historical upper-air measurements during intercomparison campaign COMP003 in 1954 (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: Belgium; Brussels_EvereAirport; DATE/TIME; historical upper-air measurements; Humidity, relative; intercomparison campaigns; Pressure, at given altitude; Profile ID; RADIO; Radiosonde; radiosondes; Temperature, air; Time in minutes
    Type: Dataset
    Format: text/tab-separated-values, 30182 data points
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    DATA PANGAEA
  • 95
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    Hydrochemistry during POSEIDON cruise POS532 (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: Bottle number; CTD/Rosette; CTD-RO; DATE/TIME; Density, potential; Density, sigma-theta (0); Depth, nominal; DEPTH, water; Event label; Fluorescence; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; LATITUDE; LONGITUDE; Nitrate; Nitrite; Oxygen; Phosphate; POS532; POS532_10-1; POS532_14-1; POS532_18-1; POS532_18-4; POS532_2-2; POS532_25-1; POS532_28-2; POS532_28-4; POS532_28-5; POS532_28-6; POS532_30-1; POS532_3-1; POS532_33-5; POS532_34-1; POS532_35-1; POS532_36-1; POS532_37-1; POS532_38-1; POS532_40-1; POS532_4-1; POS532_48-1; POS532_49-1; POS532_50-1; POS532_5-1; POS532_51-4; POS532_51-8; POS532_52-1; POS532_53-1; POS532_54-1; POS532_55-1; POS532_56-1; POS532_57-1; POS532_58-1; POS532_61-1; POS532_62-1; POS532_63-1; POS532_64-1; POS532_65-4; POS532_7-1; POS532_8-1; POS532_9-1; Poseidon; Pressure, water; Profile ID; Salinity; Sample code/label; Silicate; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 6689 data points
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  • 96
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    Historical upper-air measurements during intercomparison campaign COMP004 in 1956 (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: DATE/TIME; Geopotential height above sea level; historical upper-air measurements; Humidity, relative; intercomparison campaigns; Payerne; Pressure, at given altitude; Profile ID; radiosondes; Switzerland; Temperature, air; Time in minutes; Weather station/meteorological observation; WMO_06610; WST
    Type: Dataset
    Format: text/tab-separated-values, 74800 data points
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  • 97
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    Historical upper-air measurements during intercomparison campaign COMP007 in 1978 (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: Comment; DATE/TIME; Dew/frost point; Geopotential height above sea level; historical upper-air measurements; Humidity, relative; intercomparison campaigns; Payerne; Pressure, at given altitude; Profile ID; radiosondes; Switzerland; Temperature, air; Time in minutes; Weather station/meteorological observation; Wind direction; Wind speed; WMO_06610; WST
    Type: Dataset
    Format: text/tab-separated-values, 9841 data points
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  • 98
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    Historical upper-air measurements during intercomparison campaign COMP016 in 1989 (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: DATE/TIME; Dzhambul; Geopotential height above sea level; historical upper-air measurements; Humidity, relative; intercomparison campaigns; Kazakhstan; Pressure, at given altitude; Profile ID; radiosondes; Temperature, air; Time in minutes; Weather station/meteorological observation; Wind direction; Wind speed; WST
    Type: Dataset
    Format: text/tab-separated-values, 283677 data points
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  • 99
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    Estimated dry mass based on length-mass relationships of zooplankton during POLARSTERN cruise PS78 (ARK-XXVI/1) (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: Abundance; Aeginidae, biomass as dry weight; Aetideidae, biomass as dry weight; Aetideopsis rostrata, female, biomass as dry weight; Aglantha digitale, biomass as dry weight; Appendicularia, biomass as dry weight; ARK-XXVI/1; Atolla tenella, biomass as dry weight; Augaptilidae, biomass as dry weight; Biomass; biovolume; Bivalvia, larvae, biomass as dry weight; Botrynema spp., biomass as dry weight; Calanidae, biomass as dry weight; Calanidae, c1-c3, biomass as dry weight; Calanoida indeterminata, copepodites, biomass as dry weight; Calanoida indeterminata, female, biomass as dry weight; Calanoida indeterminata, male, biomass as dry weight; Calanus hyperboreus, c4, biomass as dry weight; Calanus hyperboreus, c5, biomass as dry weight; Calanus hyperboreus, female, biomass as dry weight; Calanus spp., c4, biomass as dry weight; Calanus spp., c5, biomass as dry weight; Calanus spp., female, biomass as dry weight; Calanus spp., male, biomass as dry weight; Chaetognatha, biomass as dry weight; Chiridius obtusifrons, female, biomass as dry weight; Clione limacina, biomass as dry weight; Cnidaria indeterminata, biomass as dry weight; Comment; Copepoda; Copepoda, nauplii, biomass as dry weight; Copepoda indeterminata, biomass as dry weight; Cyclocaris guilelmi, biomass as dry weight; Date/Time of event; Depth, bottom/max; Depth, top/min; DEPTH, water; Echinodermata, larvae, biomass as dry weight; Elevation of event; Eukrohnia hamata, biomass as dry weight; Euphausiacea, biomass as dry weight; Event label; Fram Strait; Fritillariidae, biomass as dry weight; Gaetanus brevispinus, female, biomass as dry weight; Gaetanus tenuispinus, female, biomass as dry weight; Harpacticoida, biomass as dry weight; Heterorhabdidae, copepodites, biomass as dry weight; Heterorhabdus norvegicus, female, biomass as dry weight; Heterorhabdus norvegicus, male, biomass as dry weight; Hymenodora glacialis, biomass as dry weight; Isopoda, biomass as dry weight; Lanceola clausi, biomass as dry weight; Latitude of event; Limacina helicina, biomass as dry weight; Longitude of event; Lucicutiidae, biomass as dry weight; Metridia longa, biomass as dry weight; Metridia longa, c1-c3, biomass as dry weight; Metridia longa, c4, biomass as dry weight; Metridia longa, c5, biomass as dry weight; Metridia longa, female, biomass as dry weight; Metridia longa, male, biomass as dry weight; Metridia lucens, biomass as dry weight; Microcalanus spp., biomass as dry weight; Mormonilloida, biomass as dry weight; MSN; Multiple opening/closing net; Mysida, biomass as dry weight; North Greenland Sea; Oikopleuridae, biomass as dry weight; Oithonidae, biomass as dry weight; Oncaeidae, biomass as dry weight; Ostracoda, biomass as dry weight; Paraeuchaeta spp., copepodites, biomass as dry weight; Paraeuchaeta spp., female, biomass as dry weight; Paraeuchaeta spp., male, biomass as dry weight; Paraheterorhabdus compactus, female, biomass as dry weight; Parasagitta elegans, biomass as dry weight; Pelagobia cf. longicirrata, biomass as dry weight; Pleuromamma sp., biomass as dry weight; Polarstern; Polychaeta, larvae, biomass as dry weight; PS78; PS78/019-5; PS78/025-3; PS78/035-2; PS78/039-5; PS78/044-4; PS78/054-5; PS78/071-5; PS78/075-5; PS78/127-7; Pseudocalanus spp., copepodites, biomass as dry weight; Pseudocalanus spp., female, biomass as dry weight; Pseudocalanus spp., male, biomass as dry weight; Pseudochirella spectabilis, biomass as dry weight; QUAntifying Rapid Climate Change in the Arctic: regional feedbackS and large-scale impacts; QUARCCS; Rhabdoon reesi, biomass as dry weight; Scaphocalanus magnus, biomass as dry weight; Scaphocalanus magnus, female, biomass as dry weight; Scaphocalanus spp., copepodites, biomass as dry weight; Scaphocalanus spp., female, biomass as dry weight; Scaphocalanus spp., male, biomass as dry weight; Scolecithricella minor, biomass as dry weight; Scolecitrichopsis polaris, biomass as dry weight; Siphonophorae, biomass as dry weight; Sminthea spp., biomass as dry weight; Solmundella bitentaculata, biomass as dry weight; Spinocalanus antarcticus, biomass as dry weight; Spinocalanus antarcticus, female, biomass as dry weight; Spinocalanus elongatus, female, biomass as dry weight; Spinocalanus longicornis, female, biomass as dry weight; Spinocalanus longispinus, female, biomass as dry weight; Spinocalanus spp., copepodites, biomass as dry weight; Spinocalanus spp., male, biomass as dry weight; Temorites brevis, biomass as dry weight; Temorites brevis, female, biomass as dry weight; Tharybis sp., copepodites, biomass as dry weight; Tharybis sp. female, biomass as dry weight; Themisto abyssorum, biomass as dry weight; Themisto libellula, biomass as dry weight; Tomopteris sp., biomass as dry weight; Typhloscolex cf. muelleri, biomass as dry weight; Zooplankton; ZOOSCAN
    Type: Dataset
    Format: text/tab-separated-values, 4455 data points
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  • 100
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    Mean January paleotemperatures in northwestern Yakutia from 42 to 47 cal ka BP (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Keywords: accelerator mass spectrometry (AMS); Accelerator mass spectrometry (AMS); Age, comment; AWI Arctic Land Expedition; Batagay; Batagay_1; Event label; Ice wedges; Kular; Kurungnakh_Island; Late Pleistocene; Latitude of event; Lena2013; Location; Longitude of event; Mamontova_Khayata; Mass spectrometer Finnigan Delta-V; micro-inclusions; North Yakutia, Russia; Oyogos_Yar; radiocarbon; Reference/source; RU-Land_2013_Lena; SAT; Satellite remote sensing; Syngenetic; Temperature, air, calculated; δ18O, water
    Type: Dataset
    Format: text/tab-separated-values, 48 data points
    Location Call Number Expected Availability
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