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  • Oxford University Press  (428,974)
  • PANGAEA  (421,863)
  • Periodicals Archive Online (PAO)  (190,459)
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  • 1
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    New constraints on the shear wave velocity structure of the Ivrea geophysical body from seismic ambient noise tomography (Ivrea-Verbano Zone, Alps) (2024)
    Oxford University Press
    Details
    Publication Date: 2024-01-19
    Description: We performed seismic ambient noise tomography to investigate the shallow crustal structure around the Ivrea geophysical body (IGB) in the Ivrea-Verbano Zone (IVZ). We achieved higher resolution with respect to previous tomographic works covering the Western Alps, by processing seismic data collected by both permanent and temporary seismic networks (61 broad-band seismic stations in total). This included IvreaArray, a temporary, passive seismic experiment designed to investigate the IVZ crustal structure. Starting from continuous seismic ambient noise recordings, we measured and inverted the dispersion of the group velocity of surface Rayleigh waves (fundamental mode) in the period range 4–25 s. We obtained a new, 3-D vS model of the IVZ crust via the stochastic neighbourhood algorithm (NA), with the highest resolution between 3 to 40 km depth. The fast and shallow shear wave velocity anomaly associated with the IGB presents velocities of 3.6 km s−1 directly at the surface, in remarkable agreement with the location of the exposed lower-to-middle crustal and mantle outcrops. This suggests a continuity between the surface geological observations and the subsurface geophysical anomalies. The fast IGB structure reaches vS of 4 km s−1 at 20–25 km depth, at the boundary between the European and Adriatic tectonic plates, and in correspondence with the earlier identified Moho jump in the same area. The interpretation of a very shallow reaching IGB is further supported by the comparison of our new results with recent geophysical investigations, based on receiver functions and gravity anomaly data. By combining the new geophysical constraints and the geological observations at the surface, we provide a new structural interpretation of the IGB, which features lower crustal and mantle rocks at upper crustal depths. The comparison of the obtained vS values with the physical properties from laboratory analysis of local rock samples suggests that the bulk of the IGB consists of a combination of mantle peridotite, ultramafic and lower crustal rocks, bound in a heterogeneous structure. These new findings, based on vS tomography, corroborate the recent interpretation for which the Balmuccia peridotite outcrops are continuously linked to the IGB structure beneath. The new outcomes contribute to a multidisciplinary framework for the interpretation of the forthcoming results of the scientific drilling project DIVE. DIVE aims at probing the lower continental crust and its transition to the mantle, with two ongoing and one future boreholes (down to 4 km depth) in the IVZ area, providing new, complementary information on rock structure and composition across scales. In this framework, we constrain the upper crustal IGB geometries and lithology based on new evidence for vS, connecting prior crustal knowledge to recent active seismic investigations.
    Description: Published
    Description: 1089–1105
    Description: OST1 Alla ricerca dei Motori Geodinamici
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 2
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    Implications for the geometry of plate boundaries in NE Asia based on the geodetic analysis of the 2020Mw 6.4 Koryak event (2024)
    Oxford University Press
    Details
    Publication Date: 2024-01-23
    Description: On the 9th of January 2020, an Mw 6.4 strike-slip earthquake took place north of the Asian margin of the Bering Sea. The earthquake occurred within the known reverse-right-lateral active fault zone, called Khatyrka–Vyvenka, which transverses the Koryak Highland from SE to NW and is thought to be a surface manifestation of the Asian portion of either the Bering plate boundary or the northern edge of the Alaskan stream. No other strong earthquake has ever been recorded in this remote uninhabited area and the few existing seismic stations provide poor quality earthquake locations.We adopt SAR interferometry (InSAR) technique to define an improved location of the Koryak 2020 earthquake and constrain the seismic source. The analysis of the 2020 event revealed a previously unknown active fault of left-lateral kinematics that is possibly hidden and strikes NWtransversely to the Khatyrka–Vyvenka fault zone. Although several mechanisms could account for left-lateral kinematics of this fault, we propose that the structure is part of a more extended NW fault structure, that formed in pre-neotectonic times and has played a role of a pre-existing rheological discontinuity. This revived NW structure together with a similar structure located easterly, so far aseismic, make the plate/stream boundary segmented, step-like in plan view. The step-like boundary geometry may be the result of internal transform deformation of a rigid plate, but it is better explained by deflections of the Alaskan stream edge at local crustal asperities, which are pre-Cenozoic terrains.
    Description: Published
    Description: 1412–1421
    Description: OST2 Deformazione e Hazard sismico e da maremoto
    Description: JCR Journal
    Keywords: Plate motion ; Radar interferometry ; Seismic cycle ; Asia
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 3
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    Moment magnitude for earthquakes in the Etna volcano area (2024)
    Oxford University Press
    Details
    Publication Date: 2024-03-19
    Description: Accurate quantification of seismic activity in volcanic regions is an important asset for im- proving hazard and risk assessment. This is especially true for densely populated areas, as in the case of Etna volcano (Southern Italy). There, the volcanic hazard is amplified by the seismic risk of acti ve faults, especiall y on the eastern flank of the volcano. In such a context, it is common to rely on moment magnitude ( M W ) to characterize seismicity and monitor the energy released during an eruption. In this study, we calculate the moment-based magnitude ( M W ) for selected seismic data sets, using different approaches in distinct magnitude ranges to cover the widest possible range of magnitude that characterizes Etna’s seismicity . Specifically , we computed the M W from a data set of moment tensor solutions of earthquakes that occurred in the magnitude range 3.4 ≤M L ≤4.8 during 2005–2020; we created a data set of seismic moment and associated M W for earthquakes 1.0 ≤M L 〈 3.4 obtained by analysing source spectra; we fine-tuned two relationships, for shallow and deep earthquakes, to obtain M W from response spectra. Finally, we calibrated a specific relationship between M W and M L for the Etna area earthquakes in the range 1.0 ≤M L ≤4.8. All the empirical relationships obtained in this study can be applied in real-time analysis of the seismicity to provide fast and robust information on the released seismic energy.
    Description: INGV-DPC 2012- 2021 agreement; B2 DPC-INGV 2019-2021 project; IMPACT Department strategic project ; ‘Project PE0000005–RETURN (NRRP)
    Description: Published
    Description: 2520-2534
    Description: OST2 Deformazione e Hazard sismico e da maremoto
    Description: JCR Journal
    Keywords: Earthquak e source observations ; Earthquake hazards ; Time series analysis ; Full moment tensor
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 4
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    A statistical framework for detection of b-value anomalies in Italy (2024)
    Oxford University Press
    Details
    Publication Date: 2024-03-12
    Description: This study presents a new robust statistical framework, in which to measure relative differences, or deviations from a hypothetical reference value, of Gutenberg-Richter b-value. Moreover, it applies this method to recent seismicity in Italy, to find possible changes of earthquake magnitude distribution in time and space. The method uses bootstrap techniques, which have no prior assumptions about the distribution of data, keeping their basic features. Excluding Central Italy, no significative b-value variation is found, revealing that the frequency-magnitude distribution exponent is substantially stable or that data are not able to reveal hidden variations. Considering the small size of examined magnitude samples, we cannot definitively decide if the higher b-values in Central Italy, consistently founded by all applied tests, have a physical origin or result from a statistical bias. In any case, they indicate short-lived excursions which have a temporary nature and, therefore, cannot be associated solely to spatial variations in tectonic framework. Both the methodological issues and the results of the application to seismicity in Italy show that a correct assessing of b-value changes requests appropriate statistics, that accurately quantify the low accuracy and precision of b-value estimation for small magnitude samples.
    Description: Published
    Description: 729–740
    Description: OST4 Descrizione in tempo reale del terremoto, del maremoto, loro predicibilità e impatto
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 5
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    Source mechanisms and induced seismicity in the Val d'Agri Basin (Italy) (2024)
    Oxford University Press
    Details
    Publication Date: 2024-03-12
    Description: This article has been accepted for publication in Geophysical Journal International ©:The Author(s) 2023. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.Uploaded in accordance with the publisher's self-archiving policy. All rights reserved.
    Description: We present the results from a fully unconstrained moment tensor inversion of induced seismic events in a complex and high seismic hazard region (Val d’Agri basin, Southern Italy). The study area hosts two well-documented cases of induced microseismicity linked to (i) a wastewater injection well of a giant oilfield (the largest in onshore Europe), and (ii) severe seasonal level changes of an artificial lake. In order to gather information on the non-doublecouple components of the source and to better understand the rupture mechanisms, we analyse seismic events recorded during daily injection tests in the disposal well. The computed moment tensors have significant non-double-couple components that correlate with the well-head injection pressure. The injection parameters strongly influence the rupture mechanism that can be interpreted as due to the opening/closing of a fracture network inside a fault zone of a pre-existing thrust fault. For the case of the reservoir-induced seismicity, no direct correlations are observed with the loading/unloading of the reservoir.
    Description: Published
    Description: 1617–1627
    Description: OST3 Vicino alla faglia
    Description: JCR Journal
    Keywords: 04.06. Seismology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 6
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    High frequency attenuation of S waves in alluvial deposits of the central Po Plain (northern Italy) (2024)
    Oxford University Press
    Details
    Publication Date: 2024-04-03
    Description: This article has been accepted for publication in Geophysical Journal International ©:The Author(s) 2023. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.Uploaded in accordance with the publisher's self-archiving policy. All rights reserved.
    Description: Estimation of local seismic response plays a key role in assessing local seismic hazard and particularly in the design of shaking scenarios. Modelling local seismic response involves knowing of the shear wave velocity (Vs) and quality factor (Qs) profiles for the site in question. The many techniques that have been developed to assess Vs in surface deposits produce reliable measurements of Vs , but these rarely correspond to direct measurements of Qs . The latter is often considered through damping measures from laboratory tests on small-scale soil samples, which can provide information primarily on intrinsic attenuation, neglecting the contribution of scattering effects. In this paper, using seismic recordings obtained at the surface and in boreholes at 100 m depth, we estimate an average value of Qs of some characteristic alluvial deposits of the Po Plain (northern Italy). Data come from a microseismic network which sampled an almost uniform lithology in the central Po Plain and consisted of three surface and four borehole stations with an interstation distance of about 2 km. The average value of Qs of the shallowest 100 m of the sedimentary strata, Qs100, is estimated by considering: (1) the high-frequency attenuation of seismic waves due to propagation through the corresponding stratigraphy and (2) the interference between incident and surface-reflected waves observed at borehole stations. We parametrize the first through k0_100, the difference between the values of the spectral decay parameter kappa (k) estimated at the surface and at the boreholes depth, respectively. We use the second in order to compute Vs100, the time-averaged Vs referred to the uppermost 100 m stratigraphy. We obtain: k0_100 = (11 ± 3) ms, Vs100 = (309 ± 11) m s −1 and Qs100 = 31 ± 10. At the surface, the estimated values of the site-specific kappa, k0, are found to range from 75 to 79 ms. As expected, these results are in good agreement with studies performed in other sites characterized by sandy or clayey lithologies, and can be usefully used in site response analysis at sites where the rigidity is mainly controlled by lithostatic pressure.
    Description: Comune di Minerbio (grant: “Sperimentazione ILG Minerbio”; grant number: 0913.010).
    Description: Published
    Description: 2075–2094
    Description: OST2 Deformazione e Hazard sismico e da maremoto
    Description: JCR Journal
    Keywords: Earthquake ground motions ; Seismic attenuation ; Site effects ; Wave propagation ; Wave scattering and diffraction ; 04.06. Seismology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 7
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    Fabric controls fault stability in serpentinite gouges (2024)
    Oxford University Press
    Details
    Publication Date: 2024-04-09
    Description: Serpentinites are polymineralic rocks distributed almost ubiquitously across the globe in active tectonic regions. Magnetite-rich serpentinites are found in the low-strain domains of serpen- tinite shear zones, which act as potential sites of nucleation of unstable slip. To assess the potential of earthquake nucleation in these materials, we investigate the link between me- chanical properties and fabric of these rocks through a suite of laboratory shear experiments. Our experiments were done at room temperature and cover a range of normal stress and slip velocity from 25 to 100 MPa and 0.3 to 300 μm s −1 , respecti vel y. We show that magnetite-rich serpentinites are ideal materials since they display strong sensitivity to the loading rate and are susceptible to nucleation of unstable slip, especially at low forcing slip velocities. We also aim at the integration of mechanical and microstructural results to describe the underlying mechanisms that produce the macroscopic behaviour. We show that mineralogical composi- tion and mineral structure dictates the coexistence of two deformation mechanisms leading to stable and unstable slip. The weakness of phyllosilicates allows for creep during the interseis- mic phase of the laboratory seismic cycle while favouring the restoration of a load-bearing granular framework, responsible of the nucleation of unstable events. During dynamic slip, fault zone shear fabric determines the mode of slip, producing either asymmetric or Gaussian slip time functions for either fast or slow events. We report rate/state friction parameters and integrate our mechanical data with microstructural observations to shed light on the mech- anisms dictating the complexity of laborator y ear thquakes. We show that mineralogical and fabric heterogeneities control fault slip behaviour.
    Description: Published
    Description: 1778–1797
    Description: OST3 Vicino alla faglia
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 8
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    Anaerobic respiration in a boreal wetland and surrounding habitats, across a hydrological transect. (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-11
    Description: This dataset reports measurements from a laboratory incubation of soils sourced from a boreal peatland and surrounding habitats (Siikaneva Bog, Finland). In August 2021, soil cores were collected from three habitat zones: a well-drained upland forest, an intermediate margin ecotone, and a Sphagnum moss bog. The cores from each habitat were taken from surface to approximately 50cm below surface using an Eijelkamp peat corer and subdivided by soil horizon. The samples were then incubated anaerobically for 140 days in three temperature treatment groups (0, 4, 20°C). Subsamples of the incubations headspace (250 µL) were measured on a gas chromatograph (7890A, Agilent Technologies, USA) with flame ionization detection (FID) for CO2 and CH4 concentrations. The rate of respiration from the samples were calculated per gram carbon and per gram soil as described in the method of Robertson., et al. (1999) and reported here, along with other relevant parameters.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 9
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    Data collection of the sediment core MR16-09_PC03 in the Southeast Pacific (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-08
    Type: info:eu-repo/semantics/workingPaper
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  • 10
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    Biomass of herbivorous fishes of the Gulf of California (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-10
    Description: This data set integrates findings of 16 years (2005 to 2020) of collaborative monitoring efforts across multiple institutions in the Gulf of California.The data encompasses information of 13 species of marine herbivorous fishes belonging to five families: Acanthuridae, Girellidae, Kyphosidae, Pomacentridae and Scaridae. This database presents 884 records of biomass from 15,542 visual censuses assessed by scuba diving in 34 localities (comprising 268 rocky and coral reefs sites). Visual censuses consisted of belt transects (250 m2, 100 m2, and 60 m2) laid parallel to the coastline preserving a similar depth profiles. Along these transects, trained underwater monitors, identified the species, recorded the abundance of all the adult individuals of the 13 targeted species and visually estimated the total length (cm) of each fish. The information for each transect in the database, is presented as the biomass (grams per square meter), which was estimated based on the size per individual as well as the weight-length relationship for each species, available on the literature. In the database is also integrated the information of the latitude and longitude of each locality, type of management, localities in the Gulf of California, institutions, the initial and final year of data, total number of years, as well as the mean, standard deviation, sample size, slope (annual rate of change), probability value, standard error and minimum and maximum value calculated for each species within each locality. This dataset represents a historical reference point for the condition of the 13 species found in the Gulf of California. It can be used to perform evaluations of how herbivorous fish communities have changed over time and across different locations. This is particularly relevant due to the influence of global changes leading to tropicalization in the study area. Furthermore, this information holds significance as it supplies essential insights to those responsible for the management of protected zones in the Gulf and the broader eastern tropical Pacific region. communities have changed over time and across different locations. This is particularly relevant due to the influence of global changes leading to tropicalization in the study area. Furthermore, this information holds significance as it supplies essential insights to those responsible for the management of protected zones in the Gulf and the broader eastern tropical Pacific region.
    Keywords: Abundance; Activity description; Area/locality; Biomass; Calculated; density; Estimated; Event label; Family; GOC_Loc_1; GOC_Loc_10; GOC_Loc_11; GOC_Loc_12; GOC_Loc_13; GOC_Loc_14; GOC_Loc_15; GOC_Loc_16; GOC_Loc_17; GOC_Loc_18; GOC_Loc_19; GOC_Loc_2; GOC_Loc_20; GOC_Loc_21; GOC_Loc_22; GOC_Loc_23; GOC_Loc_24; GOC_Loc_25; GOC_Loc_26; GOC_Loc_27; GOC_Loc_28; GOC_Loc_29; GOC_Loc_3; GOC_Loc_30; GOC_Loc_31; GOC_Loc_32; GOC_Loc_33; GOC_Loc_34; GOC_Loc_4; GOC_Loc_5; GOC_Loc_6; GOC_Loc_7; GOC_Loc_8; GOC_Loc_9; Gulf of California; Herbivorous; Identification; Institution; Latitude of event; Longitude of event; Monitoring; Number of samples; Number of years; Probability; Probability, standard error; Rocky and coral reefs; SCUBA-DIVE; Slope; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Standard deviation; Year of observation; Zone
    Type: Dataset
    Format: text/tab-separated-values, 7849 data points
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  • 11
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    Density of herbivorous fishes of the Gulf of California (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-10
    Description: Through collaborative monitoring involving multiple academic, government, and civil institutions over a span of 16 years (2005 to 2020), we compiled 884 records of the density of 13 species of marine herbivorous fishes. The data was collected through 15,542 visual censuses conducted by scuba diving in 34 localities, encompassing 268 rocky and coral reef sites. These censuses utilized belt transects (250 m², 100 m², and 60 m²) parallel to the coastline at similar depth profiles. Trained underwater monitors recorded abundances of all adult individuals of the 13 targeted species along the transects. The information for each transect in the database is presented as the average fish density (individuals per square meter), estimated based on the abundance for each species. The database integrates information on latitude, longitude, type of management, localities in the Gulf of California, institutions, initial and final years of data collection, total number of years, as well as mean, standard deviation, sample size, slope (annual rate of change), probability value, standard error, and minimum and maximum values calculated for each species within each locality. This dataset serves as a historical benchmark for assessing the status of 13 species in the Gulf of California. It enables the examination of changes in herbivorous fish communities over time and across various locations, which is crucial given the impact of global changes leading to tropicalization in the study area. The data is particularly important for providing valuable insights to those managing protected areas in the Gulf and the broader eastern tropical Pacific region.
    Keywords: Abundance; Activity description; Area/locality; Calculated; density; Estimated; Event label; Family; GOC_Loc_1; GOC_Loc_10; GOC_Loc_11; GOC_Loc_12; GOC_Loc_13; GOC_Loc_14; GOC_Loc_15; GOC_Loc_16; GOC_Loc_17; GOC_Loc_18; GOC_Loc_19; GOC_Loc_2; GOC_Loc_20; GOC_Loc_21; GOC_Loc_22; GOC_Loc_23; GOC_Loc_24; GOC_Loc_25; GOC_Loc_26; GOC_Loc_27; GOC_Loc_28; GOC_Loc_29; GOC_Loc_3; GOC_Loc_30; GOC_Loc_31; GOC_Loc_32; GOC_Loc_33; GOC_Loc_34; GOC_Loc_4; GOC_Loc_5; GOC_Loc_6; GOC_Loc_7; GOC_Loc_8; GOC_Loc_9; Gulf of California; Herbivorous; Identification; Individuals per area; Institution; Latitude of event; Longitude of event; Monitoring; Number of samples; Number of years; Probability; Probability, standard error; Rocky and coral reefs; SCUBA-DIVE; Slope; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Standard deviation; Year of observation; Zone
    Type: Dataset
    Format: text/tab-separated-values, 7849 data points
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  • 12
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    Mineralogic properties for sediment core MD12-3401Cq for the last deglaciation (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-03
    Keywords: AGE; Antarctic Circumpolar Current; Clay; DEPTH, sediment/rock; Diatoms; Giant piston corer (Calypso); GPC-C; Grain size, Mastersizer S, Malvern Instrument Inc.; magnetic parameters; Marion Dufresne (1995); MD12-3401; MD128; mineralogic parameters; Silt; Summer sea surface temperature; SWAF
    Type: Dataset
    Format: text/tab-separated-values, 498 data points
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  • 13
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    Magnetic properties for sediment core MD12-3401Cq for the last deglaciation (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-03
    Keywords: AGE; Anhysteretic susceptibility/magnetic susceptibility; Antarctic Circumpolar Current; Cryogenic magnetometer, 2G Enterprises; DEPTH, sediment/rock; Giant piston corer (Calypso); GPC-C; magnetic parameters; Magnetic susceptibility; Marion Dufresne (1995); MD12-3401; MD128; mineralogic parameters; Summer sea surface temperature; SWAF
    Type: Dataset
    Format: text/tab-separated-values, 320 data points
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  • 14
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    Summer sea surface temperature for sediment core MD12-3401Cq for the last deglaciation (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-03
    Keywords: AGE; Antarctic Circumpolar Current; calculated, 1 sigma; DEPTH, sediment/rock; Giant piston corer (Calypso); GPC-C; magnetic parameters; Marion Dufresne (1995); MD12-3401; MD128; mineralogic parameters; Reconstructed from the percentage of Neogloboquadrina pachyderma sinistral; Reconstructed from the percentage of planktic foraminifera; Sea surface temperature, summer; Sea surface temperature, summer, standard deviation; Summer sea surface temperature; SWAF
    Type: Dataset
    Format: text/tab-separated-values, 186 data points
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  • 15
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    Concentrations and carbon isotopic composition of suspended particulate matter and dissolved organic matter in Lena River and Central Siberian Rivers, 2010-2014 (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-04
    Description: Concentrations of particulate and dissolved organic carbon from water samples collected throughout the ice-free season in the Lena River Delta, supplemented with samples from Central Siberian Rivers Kochechum and Nizhnyaya Tunguska. Particulate samples were obtained by filtering water through pre-combusted glass-fibre filters, dissolved organic matter was studied in the filtrate. Molar concentration ratios of organic carbon to nitrogen in particulate samples are additionally reported as well as stable carbon isotopic composition (δ13C in ‰ VPDB) and radiocarbon content (∆14C in ‰) of particulate and dissolved organic carbon.
    Keywords: AWI Arctic Land Expedition; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon, organic, particulate/Nitrogen, particulate ratio; CARBOPERM; Comment; Cruise/expedition; d13C; D14C; DATE/TIME; DEPTH, water; DOC; Event label; Formation, turnover and release of carbon in Siberian permafrost landscapes; Kochechum_River; Kochechum River; L10-05; L10-10; L11-06; L11-08/09; L11-10/11; L11-12/13; L11-14/15; L14-01; L14-03; L14-05; L14-06; L14-07; L14-14; L14-16; L14-17; L14-18; L14-19; L14-22; L14-27; L14-29; L14-K1; L14-K2; L14-K3; L14-K4; Laboratory code/label; LATITUDE; Lena2010; Lena2011; LONGITUDE; N_Tunguska_River; Nizhnyaya Tunguska River at Tura; POC; Reference/source; RU-Land_2010_Lena; RU-Land_2010_Lena-L10-05; RU-Land_2010_Lena-L10-10; RU-Land_2011_Lena; RU-Land_2011_Lena-L11-06; RU-Land_2011_Lena-L11-08/09; RU-Land_2011_Lena-L11-10/11; RU-Land_2011_Lena-L11-12/13; RU-Land_2011_Lena-L11-14/15; RU-Land_2014_Lena; RU-Land_2014_Lena-L14-01; RU-Land_2014_Lena-L14-03; RU-Land_2014_Lena-L14-05; RU-Land_2014_Lena-L14-06; RU-Land_2014_Lena-L14-07; RU-Land_2014_Lena-L14-14; RU-Land_2014_Lena-L14-16; RU-Land_2014_Lena-L14-17; RU-Land_2014_Lena-L14-18; RU-Land_2014_Lena-L14-19; RU-Land_2014_Lena-L14-22; RU-Land_2014_Lena-L14-27; RU-Land_2014_Lena-L14-29; RU-Land_2014_Lena-L14-K1; RU-Land_2014_Lena-L14-K2; RU-Land_2014_Lena-L14-K3; RU-Land_2014_Lena-L14-K4; Sample ID; Water sample; WS; Δ14C, dissolved organic carbon; Δ14C, particulate organic carbon; Δ14C, particulate organic carbon, standard deviation; Δ14C, standard deviation; δ13C, dissolved organic carbon; δ13C, dissolved organic carbon, standard deviation; δ13C, particulate organic carbon; δ13C, particulate organic carbon, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 411 data points
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  • 16
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    Composition and age of suspended particulate and dissolved organic matter in the Lena River and Central Siberian Rivers, 2002-2014 (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-04
    Description: This data set consists of isotopic and molecular information obtained from samples of particulate and dissolved organic matter collected throughout the ice-free season in the Lena River Delta, supplemented with samples from Central Siberian Rivers Kochechum and Nizhnyaya Tunguska. Particulate samples were obtained by filtering water through pre-combusted glass-fibre filters, dissolved organic matter was studied in the filtrate. Molar concentration ratios of organic carbon to nitrogen in particulate samples are additionally reported as well as stable carbon isotopic composition (δ13C in ‰ VPDB) and radiocarbon content (∆14C in ‰) of particulate and dissolved organic carbon. Concentrations of long-chain n-alkanes (n-C17 to n-C33) in suspended particulate matter samples collected on glass-fibre filters in the Lena Delta. The data set also contains stable hydrogen isotopic composition (δD) of odd-chain n-alkanes n-C23 to n-C31 expressed in permille relative to VSMOW. Contents of long-chain n-alkanes (n-C17 to n-C33) in soil samples as well as particles settled from a large-volume water sample collected in the Lena Delta. The data set also contains stable hydrogen isotopic composition (δD) of odd-chain n-alkanes n-C23 to n-C31 expressed in permille relative to VSMOW.
    Keywords: Biomarkers; CARBOPERM; d13C; D14C; DOC; Formation, turnover and release of carbon in Siberian permafrost landscapes; POC
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 17
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    Summarized list of all heat flow determinations on RV METEOR cruise M186 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Event label; heatflow; Heat flow; Heat-Flow probe; HF; Latitude of event; Longitude of event; M186; M186_12-1; M186_20-1; M186_26-1; M186_44-1; M186_47-1; M186_53-1; M186_66-1; M186_83-1; M186_85-1; MARUM; Meteor (1986); Sample code/label; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 280 data points
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  • 18
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    Marine heat flow data at station HF2241 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_20-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 1134 data points
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  • 19
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    Marine heat flow data at station HF2240 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_12-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 1512 data points
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  • 20
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    Marine heat flow data at station HF2242 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_26-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 891 data points
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  • 21
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    Marine heat flow data at station HF2244 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_47-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 946 data points
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  • 22
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    Marine heat flow data at station HF2249 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_85-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 1029 data points
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  • 23
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    Marine heat flow data at station HF2248 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_83-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 526 data points
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  • 24
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    Marine heat flow data at station HF2247 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_66-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 389 data points
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  • 25
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    Marine heat flow data at station HF2245 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_53-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 504 data points
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  • 26
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    Marine heat flow data at station HF2246 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_53-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 654 data points
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  • 27
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    Nitrogen isotope record and TOC accumulation rates of sediment core GeoTü SL167 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: The data sets contains bulk organic data of sediment core GeoTü SL167. Total organic carbon and nitrogen measurements were carried out with an Euro EA3000 elemental analyser and δ15N measurements with a Thermo Scientific Flash EA1112 coupled to a Finnigan MAT 252 IRMS. Total organic carbon mass accumulation rates (TOC MAR) based on calculation using the organic carbon content and total mass accumulation rates. A description of the calculation of the total mass accumulations rates is given in Burdanowitz et al 2021. Gravity core GeoTü SL167, was retrieved at station no. 960 during R.V. METEOR cruise M74/1b in 2007 (Bohrmann et al., 2010) from the northwestern Arabian Sea off Oman, at 22°37.2'N, 59°41.5'E, 774 m water depth, core recovery 7.39 m. The sediment core was retrieved for the reconstruction of circulation and productivity changes in the eastern Mediterranean Sea during the late Quaternary with particular focus on changes in the Indian monsoon system.
    Keywords: Accumulation rate, total organic carbon per year; AGE; Age model; Arabian Sea; Calculated; CLICCS; Cluster of Excellence: Climate, Climatic Change, and Society; Denitrification; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Element analyzer, Thermo Scientific, Flash EA1112; coupled with a Finnigan MAT 252 IRMS; Gravity corer (Kiel type); M74/1b; M74/1b_960-1; Meteor (1986); n-alkanes; Oman Margin; OMZ; Quaternary; SL; SL 167; δ15N; δ15N, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 1846 data points
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  • 28
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    Age model of sediment core GeoTü SL167 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: The age model of sediment core GeoTü SL167 is based on 14C AMS measurements of planktonic foraminifera and is calibrated with the BACON v. 2.5.6 software for R (Blaauw & Christen, 2011) and a marine reservoir age of ΔR = 93 ± 61 years. The ΔR is based on the weighted mean of two regional marine reservoir corrections (Muscat) by Southon et al. (2002) using the marine calibration database (Reimer and Reimer, 2001, http://calib.org/marine/). Gravity core GeoTü SL167, was retrieved at station no. 960 during R.V. METEOR cruise M74/1b in 2007 (Bohrmann et al., 2010) from the northwestern Arabian Sea off Oman, at 22°37.2'N, 59°41.5'E, 774 m water depth, core recovery 7.39 m. The sediment core was retrieved for the reconstruction of circulation and productivity changes in the eastern Mediterranean Sea during the late Quaternary with particular focus on changes in the Indian monsoon system.
    Keywords: Age, 14C AMS; Age, 14C calibrated, BACON v. 2.5.6 (Blaauw and Christen, 2011); Age, dated; Age, dated standard deviation; Age model; Arabian Sea; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; CLICCS; Cluster of Excellence: Climate, Climatic Change, and Society; Denitrification; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Gravity corer (Kiel type); M74/1b; M74/1b_960-1; Meteor (1986); n-alkanes; Oman Margin; OMZ; Quaternary; SL; SL 167
    Type: Dataset
    Format: text/tab-separated-values, 147 data points
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  • 29
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2203200401 (RF01) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220320_P6_RF01; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203200401; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 16414 data points
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  • 30
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2204011101 (RF08) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220401_P6_RF08; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2204011101; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 20114 data points
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  • 31
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2204101601 (RF13) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220410_P6_RF13; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2204101601; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 20356 data points
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  • 32
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2203301001 (RF07) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220330_P6_RF07; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203301001; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 23834 data points
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  • 33
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    Bihourly temperature and humidity measurements at the front of the Mullamullang cave on the Nullarbor Plain, Australia (2021-2023) (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: Australia; cave; cave climate; Comment; Date/Time local; GIAM-9; humidity; Humidity, relative; Mullamullang Cave (front); Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500
    Type: Dataset
    Format: text/tab-separated-values, 20350 data points
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  • 34
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    Bihourly temperature and humidity measurements in the Abracurrie cave on the Nullarbor Plain, Australia (2021-2023) (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: Abracurrie Cave; ASF-3; Australia; cave; cave climate; Comment; Date/Time local; humidity; Humidity, relative; Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500
    Type: Dataset
    Format: text/tab-separated-values, 27119 data points
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  • 35
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    Stable isotope data from IODP Site 371-U1509 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: The onset of the first sustained Antarctic glaciation at the Eocene-Oligocene Transition (~34 Ma; EOT) was marked by several changes in calcareous nannofossils coinciding with long-term cooling and modifications in the sea-surface water structure. Here, we combined a high-resolution calcareous nannofossil assemblage data (%) with bulk geochemical data from IODP Site U1509 (New Caledonia Trough, Tasman Sea) in order to give an overview of the paleoclimatic and palaeoceanographic evolution of the study area.
    Keywords: 371-U1509A; Calcareous nannofossils; Calcium carbonate; DEPTH, sediment/rock; DSDP/ODP/IODP sample designation; Eocene-Oligocene Transition.; Exp371; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; IODP Depth Scale Terminology; Isotope ratio mass spectrometry; Joides Resolution; Sample code/label; Tasman Frontier Subduction Initiation and Paleogene Climate; Tasman Sea; δ13C, carbonate; δ18O, carbonate
    Type: Dataset
    Format: text/tab-separated-values, 732 data points
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  • 36
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    Record of dinocyst assemblage compositions from sediment core GeoB19927-3 during the Holocene (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: The dataset contains abundances of dinoflagellate cysts (dinocysts) from sediment samples from sediment core GeoB19927-3 (73°35,26' N, 58°05,66' W) located in Southern Melville Bay (Baffin Bay). The dataset covers the depth interval between 760-0 cm top depths, corresponding to 7.7 kyrs BP – present. The core was taken at 932 meters of water depth by gravity coring during cruise MSM44 in 2015 (Dorschel et al., 2016). The core consists of 1147 cm of sediment. For dinocyst analysis, it was sub-sampled every centimetre within the top 25 cm, every 5 cm within the 25 cm to 280 cm interval and every 10 cm within the 280 cm to 760 cm interval, including 124 samples. Sample processing followed the procedure for palynological preparation described in Vernal et al. (2010). The taxonomy of dinocysts used here was based on Rochon et al. (1999) and de Vernal et al. (2020). At least 300 dinocyst specimens were counted per sample when possible. For samples with low dinocyst abundance as many specimens as possible were enumerated. In the sample with lowest dinocyst abundance, 89 specimens were counted. The chronology has been provided by Saini et al. (2020).
    Keywords: AGE; ArcTrain; Ataxiodinium choane; Baffin Bay; Bitectatodinium tepikiense; Brigantedinium spp.; Depth, sediment/rock, top/minimum; Dinoflagellate cyst; Echinidinium karaense; Echinidinium spp.; Foraminifera, linings; GC; GeoB19927-3; Gravity corer; Halodinium; Impagidinium pallidum; Islandinium minutum; Maria S. Merian; MSM44; MSM44_353-3; Nematosphaeropsis labyrinthus; Operculodinium centrocarpum; Pentapharsodinium dalei cyst; Polykrikos sp. cyst; Processes and impacts of climate change in the North Atlantic Ocean and the Canadian Arctic; Sample code/label; Selenopemphix quanta; Spiniferites elongatus; Spiniferites ramosus; Spiniferites spp.
    Type: Dataset
    Format: text/tab-separated-values, 2480 data points
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  • 37
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2203280801 (RF05) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220328_P6_RF05; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203280801; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 6694 data points
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  • 38
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2203260702 (RF04) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220326_P6_RF04; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203260702; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 11906 data points
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  • 39
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2203290901 (RF06) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220329_P6_RF06; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203290901; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 26012 data points
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  • 40
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    Bihourly temperature and humidity measurements in the upper pass of the Kelly Cave on the Nullarbor Plain, Australia (2021-2023) (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: Australia; cave; cave climate; Date/Time local; GIAM-12; humidity; Humidity, relative; Kelly Cave (higher passage); Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500
    Type: Dataset
    Format: text/tab-separated-values, 6822 data points
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    DATA PANGAEA
  • 41
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    Bihourly temperature and humidity measurements at the front of the Webbs cave on the Nullarbor Plain, Australia (2021-2023) (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: ASF-5; Australia; cave; cave climate; Comment; Date/Time local; humidity; Humidity, relative; Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500; Webbs Cave (front)
    Type: Dataset
    Format: text/tab-separated-values, 27149 data points
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    DATA PANGAEA
  • 42
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2204081401 (RF11) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220408_P6_RF11; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2204081401; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 19026 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 43
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    Bihourly temperature measurements in blowhole 6N-3372 on the Nullarbor Plain, Australia (2021-2023) (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: ASF-1; Australia; Blowhole 6N-3372; cave; cave climate; Comment; Date/Time local; humidity; Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500
    Type: Dataset
    Format: text/tab-separated-values, 14287 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 44
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    Bihourly temperature and humidity measurements at the back of the Mullamullang cave on the Nullarbor Plain, Australia (2021-2023) (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: Australia; cave; cave climate; Comment; Date/Time local; GIAM-8; humidity; Humidity, relative; Mullamullang Cave (back); Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500
    Type: Dataset
    Format: text/tab-separated-values, 20350 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 45
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    Bihourly temperature and humidity measurements in the lower pass of the Kelly Cave on the Nullarbor Plain, Australia (2021-2023) (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: Australia; cave; cave climate; Date/Time local; GIAM-14; humidity; Humidity, relative; Kelly Cave (lower passage); Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500
    Type: Dataset
    Format: text/tab-separated-values, 6822 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 46
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    Bihourly temperature and humidity measurements at the entrance of the Kelly Cave on the Nullarbor Plain, Australia (2021-2023) (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: Australia; cave; cave climate; Date/Time local; GIAM-13; humidity; Humidity, relative; Kelly Cave (entrance); Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500
    Type: Dataset
    Format: text/tab-separated-values, 6822 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 47
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    Bihourly temperature and humidity measurements at the back of the Webbs cave on the Nullarbor Plain, Australia (2021-2023) (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: ASF-4; Australia; cave; cave climate; Comment; Date/Time local; humidity; Humidity, relative; Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500; Webbs Cave (back)
    Type: Dataset
    Format: text/tab-separated-values, 27152 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 48
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    Heat flow data of METEOR cruise M186, Azores hot vents (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-01
    Description: Marine heat flow data from RV Meteor cruise M186. The GEOMAR project name is Azores Hot Vents. We used the 6 m Bremen heat probe with 21 channels @ 0.26 m spacing.
    Keywords: Azores; Center for Marine Environmental Sciences; heatflow; MARUM
    Type: Dataset
    Format: application/zip, 10 datasets
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    DATA PANGAEA
  • 49
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    Cladocera abundance from sediment core Aguas_Verdes_2011 (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-31
    Keywords: Age; AGE; Aguas_Verdes_2011; Alona quadrangularis; Alona rustica; Chydorus sphaericus; Counting 〉38 µm fraction; Daphnia pulex group; DEPTH, sediment/rock; Lake Aguas Verdes, Sierra Nevada, Spain; Sample code/label; Slide-hammer gravity corer
    Type: Dataset
    Format: text/tab-separated-values, 194 data points
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    DATA PANGAEA
  • 50
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    Cladocera abundance from sediment core Borreguil_2011 (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-31
    Keywords: Age; AGE; Alona quadrangularis; Alona rustica; Borreguil_2011; Chydorus sphaericus; Counting 〉38 µm fraction; Daphnia pulex group; DEPTH, sediment/rock; Lake Borreguil, Sierra Nevada, Spain; Sample code/label; Slide-hammer gravity corer
    Type: Dataset
    Format: text/tab-separated-values, 200 data points
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    DATA PANGAEA
  • 51
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    Fraction compositions from the nearshore zone of Herschel Island (Yukon, Canada) (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-15
    Keywords: Analytical Balance, Sartorius, A200S; followed by Calulation; Arctic; Biomarkers; DATE/TIME; DEPTH, water; HER; Herschel_Island; LATITUDE; LONGITUDE; MULT; Multiple investigations; organic carbon; Permafrost; Sample code/label; Sample ID; Sample type; sediment; Size fraction; Zone
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
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    DATA PANGAEA
  • 52
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    Northwestern Australian Margin radiolarian core-top dataset and its paleoceanographical application via IODP 363 Site U1483 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-17
    Description: Here we submitted modern core top radiolarian assemblage dataset in the Northwestern Australian Margin. The sample were collected during the German Sonne R/V Expedition SO 257. The dataset served as a calibration dataset to estimate past Summer Sea Surface Temperature (SST) of the Past using radiolarian species. We also submit herein IODP 363 Site U1483 (the Timor Sea), radiolarian assemblage data from the time interval between 500 and 1600 ka to discuss the impact of the Mid Pleistocene Transition on regional climate/ocean system such as the Indonesian Throughflow and the Australian Monsoon. For do so, we estimate the summer SST between 500 and 1600 ka relying on the SO 257 core top radiolarian assemblages.
    Keywords: Australian Monsoon Monsoon; Indonesian Throughflow; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Mid Pleistocene Transition; Radiolarians; Summer sea surface temperature
    Type: Dataset
    Format: application/zip, 2 datasets
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    DATA PANGAEA
  • 53
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    Benthic macrofauna and foraminifera (〉500 µm) diversity, abundance and biomass on the Northeast Greenland (NEG) shelf sediments during POLARSTERN cruise PS109 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-01
    Description: The samples have been collected with R/V Polarstern during PS109 between September and October 2017. Sediment was collected with a camera-equipped MUC (TV-MUC; diameter of 93mm; circle area 0.007 m2) or with a benthic lander (dimensions 20 cmx20 cm; square area 0.04 m²), sliced into 0-5 cm and 5-10 cm layers and subsequently sieved over a 500 µm mesh. Afterwards, the samples were fixed with 4 % seawater-buffered formaldehyde in Kautex bottles at room temperature. In the lab, samples were stained with Rose Bengal and macrofauna and foraminifera individuals were identified to the lowest taxonomic level possible, and the blotted wet formalin weight of macrofauna individuals was measured with a precision balance (DeltaRange XP56 or AX205; Mettler Toledo, Ohio, USA).
    Keywords: Arctic; ARK-XXXI/4; B_LANDER; Bottom lander; Counted; Date/Time of event; Elevation of event; Event label; FRAM; FRontiers in Arctic marine Monitoring; Latitude of event; Longitude of event; Macrobenthos; Macrofauna, number of species; Method/Device of event; Multicorer with television; NEW Polynya; Northeast Water Polynya; outflow shelf; Phylum; Polarstern; Polychaeta; PS109; PS109_105-1; PS109_107-1; PS109_115-3; PS109_122-1; PS109_125-2; PS109_129-1; PS109_139-2; PS109_139-3; PS109_154-1; PS109_19-4; PS109_36-3; PS109_45-3; PS109_45-4; PS109_68-1; PS109_69-1; PS109_76-2; PS109_84-2; PS109_85-1; PS109_93-2; Sample ID; sediment; species; species composition; Species distribution; Taxon/taxa; Taxon/taxa, unique identification; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); TVMUC; Weighted; Wet mass
    Type: Dataset
    Format: text/tab-separated-values, 3947 data points
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    DATA PANGAEA
  • 54
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    Ex situ diffusive oxygen uptake of the Northeast Greenland (NEG) shelf sediments from POLARSTERN cruise PS109 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-01
    Description: Ex situ diffusive oxygen uptake (DOU) at the sediment water interface was assessed on the Northeast Greenland shelf with R/V Polarstern during PS109 between September and October 2017 using a camera-equipped multiple corer (TV-MUC; core area 0.007 m²). Upon arrival on deck, part of the overlying water of three MUC cores was collected and stored separately at in situ temperature. The remaining overlying water was adjusted to 10 cm above the sediment by gently pushing the sediment upwards while avoiding a disturbance of the surface sediment. The cores were then placed in a temperature-controlled water bath in the ship-board laboratory which had been adjusted to the in-situ temperature at the seafloor (information was retrieved from ship-board sensors). A mangetic stirrer was deployed in order to homogenise the overlying water, and a small air pump gently aerated the water. DOU was assessed with 2 oxygen optodes (Pyroscience, Firesting; tip size 50 µm) mounted on an autonomous microprofiler module. Each core was measured with two microprofilers simultaneously, usually within 2h of sampling (except for stations 139, 85, 84 and 76, where the measurement times were 〉24h). The sensors were two-point calibrated using on-board signals recorded in air saturated surface sea water and anoxic, dithionite-spiked bottom water at in situ temperature. Ex situ DOU fluxes across the sediment-water interface obtained were calculated from running average smoothed oxygen profiles using Fick's first law (Glud et al. (1994, doi:10.1016/0967-0637(94)90072-8).
    Keywords: ARK-XXXI/4; Comment; Date/Time of event; DOU; Elevation of event; Event label; ex situ; FRAM; FRontiers in Arctic marine Monitoring; Latitude of event; Longitude of event; Method/Device of event; microoptode; Multicorer with television; Number; Oxygen Logger (Firesting O2-C4) equipped with retractable needle type optodes (OXR50), Pyroscience, Firesting; oxygen uptake; Oxygen uptake, diffusive; Polarstern; PS109; PS109_105-1; PS109_115-3; PS109_122-1; PS109_125-2; PS109_139-2; PS109_154-1; PS109_19-4; PS109_36-3; PS109_45-3; PS109_76-1; PS109_84-2; PS109_85-1; PS109_93-3; Standard deviation; TVMUC
    Type: Dataset
    Format: text/tab-separated-values, 42 data points
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    DATA PANGAEA
  • 55
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    Ex situ total oxygen uptake of the Northeast Greenland (NEG) shelf sediments from POLARSTERN cruise PS109 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-01
    Description: Ex situ total oxygen uptake (DOU) at the sediment water interface was assessed on the Northeast Greenland shelf with R/V Polarstern during PS109 between September and October 2017 using a camera-equipped multiple corer (TV-MUC; core area 0.007 m2). Upon arrival on deck, part of the overlying water of three MUC cores was collected and stored separately at in situ temperature. The remaining overlying water was adjusted to 10m above the sediment by gently pushing the sediment upwards by avoiding a disturbance of the surface sediment. The cores were then placed in a temperature-controlled water bath in the ship-board laboratory which had been adjusted to the in-situ temperature at the seafloor (information was retrieved from ship-board sensors). A magnetic stirrer was deployed in order to homogenise the overlying water, and a small air pump gently aerated the water. After the assessment of diffusive oxygen uptake (DOU) by microprofiling, total oxygen uptake (TOU) was measured. The air pump was removed to ensure no air bubbles in the overlying water, and the cores were closed air tight. The oxygen concentration was measured continuously in the overlying water every 60 seconds for approximately 48hours (at least 36h). Total sediment oxygen flux was determined as the decrease in oxygen concentration in the water phase, which was read from the continuous oxygen sensor data. The oxygen sensors had been two-point calibrated using oxygen-saturated water and anoxic solution of sodium dithionite. The incubation was terminated at ≤ 80% initial [O2]. TOU fluxes were calculated from the initial linear decrease in O2 concentration versus time (first 30 h) in the enclosed overlying water body (Glud et al., 1994, doi:10.1016/0967-0637(94)90072-8).
    Keywords: ARK-XXXI/4; Date/Time of event; Elevation of event; Event label; ex situ; FRAM; FRontiers in Arctic marine Monitoring; Latitude of event; Longitude of event; Multicorer with television; Oxygen Logger (Firesting O2-C4) equipped with robust oxygen optode, Pyroscience, Firesting; Oxygen uptake, total; Oxygen uptake, total, standard deviation; Polarstern; PS109; PS109_105-1; PS109_115-2; PS109_122-1; PS109_125-1; PS109_139-2; PS109_154-1; PS109_19-2; PS109_36-2; PS109_45-3; PS109_76-1; PS109_84-2; PS109_85-1; PS109_93-2; Replicates; total oxygen uptake (TOU); TVMUC
    Type: Dataset
    Format: text/tab-separated-values, 38 data points
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    DATA PANGAEA
  • 56
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    Airborne gravity data across Astrid Ridge, East Antarctica (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-01
    Description: This data set contains airborne gravity data across central Dronning Maud Land, East Antarctica, acquired during the austral summer of 2009/2010 and within the project 'West-East Gondwana Amalgamation and its Separation' (WEGAS). The data span the offshore Astrid Ridge, and parts of the Nivl and Lazarev ice shelves. The survey was conducted using a ZLS Ultrasys Lacoste & Romberg Air/Sea gravimeter S56 installed into - and operated with - the research aircraft Polar 5. Base readings were performed with a handheld gravity meter at the base station Novolazarevskaja and in Cape Town. A ground speed of 130 knots and a time-domain filter of 220 s leads to a spatial resolution of around 7 km. The average crossover error after bias adjustment is 4.2 mGal. When citing this data set, please also cite the associated manuscript: Eisermann, H., Eagles, G. & Jokat, W. Coastal bathymetry in central Dronning Maud Land controls ice shelf stability. Sci Rep 14, 1367 (2024). https://doi.org/10.1038/s41598-024-51882-2.
    Keywords: AC; airborne gravity; Aircraft; Antarctica; Antarctica, East; Astrid Ridge; DATE/TIME; Event label; Free-air gravity anomaly; Gravity; Height; LATITUDE; Lazarev Ice Shelf; Line; LONGITUDE; Nivl Ice Shelf; PGM17 (NGA's Preliminary Geopotential Model 2017); POLAR 5; WEGAS_2009/10; WEGAS_2009/10_02; WEGAS_2009/10_03; WEGAS_2009/10_04; WEGAS_2009/10_05; WEGAS_2009/10_06; WEGAS_2009/10_07; WEGAS_2009/10_08; WEGAS_2009/10_09; WEGAS_2009/10_10; WEGAS_2009/10_11; WEGAS_2009/10_12; WEGAS_2009/10_13; WEGAS_2009/10_14; WEGAS_2009/10_16; WEGAS_2009/10_17; WEGAS_2009/10_18; WEGAS_2009/10_19; WEGAS_2009/10_20; WEGAS_2009/10_21; WEGAS offshore
    Type: Dataset
    Format: text/tab-separated-values, 128088 data points
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    DATA PANGAEA
  • 57
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    Bathymetric model beneath Nivl and Lazarev ice shelves, and across Astrid Ridge embedded within IBCSOV2 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-01
    Description: Attached data comprise a bathymetric model of central Dronning Maud Land, including the seabed beneath the Nivl Ice Shelf and the Lazarev Ice Shelf, as well as the offshore Astrid Ridge and adjacent parts of the Riiser-Larsen Sea. Here, this model is embedded within the larger Antarctic-wide bathymetric compilation IBCSOV2 (Dorschel et al., 2022). This is an addition to the stand-alone bathymetric model here: https://doi.org/10.1594/PANGAEA.961492. The embedded model gives seabed depths relative to WGS84 at a resolution of 2.5 km. It is generated by complementing existing topographic data sets - such as seismic data, ice penetrating radar data, and shipborne hydroacoustic data - with the inversion of airborne gravity data towards bathymetry. The airborne gravity data used for the inversion consist of data acquired during aerogeophysical campaigns VISA from the early 2000s and WEGAS from the austral summer of 2009/2010. When citing this model, please also cite the associated manuscript: Eisermann, H., Eagles, G. & Jokat, W. Coastal bathymetry in central Dronning Maud Land controls ice shelf stability. Sci Rep 14, 1367 (2024). https://doi.org/10.1038/s41598-024-51882-2.
    Keywords: Antarctica; Bathymetry; BathymetryModel_cDronningMaudLan; Bed elevation; Coordinate, x, relative; Coordinate, y, relative; Dronning Maud Land; Dronning Maud Land, Antarctica; gravity inversion; LATITUDE; Lazarev Ice Shelf; LONGITUDE; Model; Nivl Ice Shelf; water column
    Type: Dataset
    Format: text/tab-separated-values, 206742 data points
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    DATA PANGAEA
  • 58
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    Complete analysis of sediment core MSM12/2-05-01 from the Labrador Sea: biomarkers, foraminiferal assemblages, XRF scanning, coarse fractions, and bulk parameters (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-05
    Description: These datasets originate from the gravity core MSM12/2-05-01 (57.538500, -48.738700, recovery 1494 cm, 3492 m water depth) taken during R/V Maria S. Merian cruise MSM12/2 in 2009 in the eastern Labrador Sea (Eirik Drift). These datasets show the history of sea surface characteristics in the Labrador Sea and the surrounding ice sheet activities, representing the last 50 ka. The XRF, biomarker, and planktic/benthic foraminifer data document the outstanding collapse of the Laurentide Ice Sheet/iceberg discharge during Heinrich Events (i.e., HE5, HE4, HE2, and HE1) and the occurrence of meltwater plumes from the Greenland Ice Sheet and/or Laurentide Ice Sheet during the last deglaciation. Such meltwater discharges have caused surface freshening in the Labrador Sea and, consequently, decreased sea surface temperatures and phytoplankton production. Enhanced Irminger Current inflow might have caused (sub-)surface warming in the Labrador Sea and triggered the retreat of ice sheets/meltwater discharge. In contrast to relatively low open-water productivity during the glacial period, the Last Glacial Maximum was characterized by increased sea ice algae and phytoplankton production, suggesting the presence of a polynya in front of the southern Greenland Ice Sheet.
    Keywords: Biomarkers; Coarse fraction; Foraminifera; Ice Sheet; Irminger Current; Labrador Sea; Sea surface; XRF
    Type: Dataset
    Format: application/zip, 10 datasets
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  • 59
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    Snow height from radiation station 2019R8 (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; Snow height; solar radiation; Tilt angle, X; Tilt angle, Y
    Type: Dataset
    Format: text/tab-separated-values, 29044 data points
    Location Call Number Expected Availability
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  • 60
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    Heating induced temperature difference measurements from radiation station 2019R8: 4 s after the heating cycle (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 89452 data points
    Location Call Number Expected Availability
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  • 61
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    Heating induced temperature difference measurements from radiation station 2019R8: 0 s after the heating cycle (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 89452 data points
    Location Call Number Expected Availability
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  • 62
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    Heating induced temperature difference measurements from radiation station 2019R8: 20 s after the heating cycle (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 89452 data points
    Location Call Number Expected Availability
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  • 63
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    Heating induced temperature difference measurements from radiation station 2019R8: 40 s after the heating cycle (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 36366 data points
    Location Call Number Expected Availability
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  • 64
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    Heating induced temperature difference measurements from radiation station 2019R8: 52 s after the heating cycle (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 53713 data points
    Location Call Number Expected Availability
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  • 65
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    Temperature measurements from radiation station 2019R8 (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, technical
    Type: Dataset
    Format: text/tab-separated-values, 253099 data points
    Location Call Number Expected Availability
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  • 66
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    Transmittance through sea ice from radiation station 2019R8 (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; Calculated; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, sun elevation; Sea Ice Physics @ AWI; snow depth; solar radiation; Transmittance; Transmittance, photosynthetically active; Transmittance at 320 nm; Transmittance at 321 nm; Transmittance at 322 nm; Transmittance at 323 nm; Transmittance at 324 nm; Transmittance at 325 nm; Transmittance at 326 nm; Transmittance at 327 nm; Transmittance at 328 nm; Transmittance at 329 nm; Transmittance at 330 nm; Transmittance at 331 nm; Transmittance at 332 nm; Transmittance at 333 nm; Transmittance at 334 nm; Transmittance at 335 nm; Transmittance at 336 nm; Transmittance at 337 nm; Transmittance at 338 nm; Transmittance at 339 nm; Transmittance at 340 nm; Transmittance at 341 nm; Transmittance at 342 nm; Transmittance at 343 nm; Transmittance at 344 nm; Transmittance at 345 nm; Transmittance at 346 nm; Transmittance at 347 nm; Transmittance at 348 nm; Transmittance at 349 nm; Transmittance at 350 nm; Transmittance at 351 nm; Transmittance at 352 nm; Transmittance at 353 nm; Transmittance at 354 nm; Transmittance at 355 nm; Transmittance at 356 nm; Transmittance at 357 nm; Transmittance at 358 nm; Transmittance at 359 nm; Transmittance at 360 nm; Transmittance at 361 nm; Transmittance at 362 nm; Transmittance at 363 nm; Transmittance at 364 nm; Transmittance at 365 nm; Transmittance at 366 nm; Transmittance at 367 nm; Transmittance at 368 nm; Transmittance at 369 nm; Transmittance at 370 nm; Transmittance at 371 nm; Transmittance at 372 nm; Transmittance at 373 nm; Transmittance at 374 nm; Transmittance at 375 nm; Transmittance at 376 nm; Transmittance at 377 nm; Transmittance at 378 nm; Transmittance at 379 nm; Transmittance at 380 nm; Transmittance at 381 nm; Transmittance at 382 nm; Transmittance at 383 nm; Transmittance at 384 nm; Transmittance at 385 nm; Transmittance at 386 nm; Transmittance at 387 nm; Transmittance at 388 nm; Transmittance at 389 nm; Transmittance at 390 nm; Transmittance at 391 nm; Transmittance at 392 nm; Transmittance at 393 nm; Transmittance at 394 nm; Transmittance at 395 nm; Transmittance at 396 nm; Transmittance at 397 nm; Transmittance at 398 nm; Transmittance at 399 nm; Transmittance at 400 nm; Transmittance at 401 nm; Transmittance at 402 nm; Transmittance at 403 nm; Transmittance at 404 nm; Transmittance at 405 nm; Transmittance at 406 nm; Transmittance at 407 nm; Transmittance at 408 nm; Transmittance at 409 nm; Transmittance at 410 nm; Transmittance at 411 nm; Transmittance at 412 nm; Transmittance at 413 nm; Transmittance at 414 nm; Transmittance at 415 nm; Transmittance at 416 nm; Transmittance at 417 nm; Transmittance at 418 nm; Transmittance at 419 nm; Transmittance at 420 nm; Transmittance at 421 nm; Transmittance at 422 nm; Transmittance at 423 nm; Transmittance at 424 nm; Transmittance at 425 nm; Transmittance at 426 nm; Transmittance at 427 nm; Transmittance at 428 nm; Transmittance at 429 nm; Transmittance at 430 nm; Transmittance at 431 nm; Transmittance at 432 nm; Transmittance at 433 nm; Transmittance at 434 nm; Transmittance at 435 nm; Transmittance at 436 nm; Transmittance at 437 nm; Transmittance at 438 nm; Transmittance at 439 nm; Transmittance at 440 nm; Transmittance at 441 nm; Transmittance at 442 nm; Transmittance at 443 nm; Transmittance at 444 nm; Transmittance at 445 nm; Transmittance at 446 nm; Transmittance at 447 nm; Transmittance at 448 nm; Transmittance at 449 nm; Transmittance at 450 nm; Transmittance at 451 nm; Transmittance at 452 nm; Transmittance at 453 nm; Transmittance at 454 nm; Transmittance at 455 nm; Transmittance at 456 nm; Transmittance at 457 nm; Transmittance at 458 nm; Transmittance at 459 nm; Transmittance at 460 nm; Transmittance at 461 nm; Transmittance at 462 nm; Transmittance at 463 nm; Transmittance at 464 nm; Transmittance at 465 nm; Transmittance at 466 nm; Transmittance at 467 nm; Transmittance at 468 nm; Transmittance at 469 nm; Transmittance at 470 nm; Transmittance at 471 nm; Transmittance at 472 nm; Transmittance at 473 nm; Transmittance at 474 nm; Transmittance at 475 nm; Transmittance at 476 nm; Transmittance at 477 nm; Transmittance at 478 nm; Transmittance at 479 nm; Transmittance at 480 nm; Transmittance at 481 nm; Transmittance at 482 nm; Transmittance at 483 nm; Transmittance at 484 nm; Transmittance at 485 nm; Transmittance at 486 nm; Transmittance at 487 nm; Transmittance at 488 nm; Transmittance at 489 nm; Transmittance at 490 nm; Transmittance at 491 nm; Transmittance at 492 nm; Transmittance at 493 nm; Transmittance at 494 nm; Transmittance at 495 nm; Transmittance at 496 nm; Transmittance at 497 nm; Transmittance at 498 nm; Transmittance at 499 nm; Transmittance at 500 nm; Transmittance at 501 nm; Transmittance at 502 nm; Transmittance at 503 nm; Transmittance at 504 nm; Transmittance at 505 nm; Transmittance at 506 nm; Transmittance at 507 nm; Transmittance at 508 nm; Transmittance at 509 nm; Transmittance at 510 nm; Transmittance at 511 nm; Transmittance at 512 nm; Transmittance at 513 nm; Transmittance at 514 nm; Transmittance at 515 nm; Transmittance at 516 nm; Transmittance at 517 nm; Transmittance at 518 nm; Transmittance at 519 nm; Transmittance at 520 nm; Transmittance at 521 nm; Transmittance at 522 nm; Transmittance at 523 nm; Transmittance at 524 nm; Transmittance at 525 nm; Transmittance at 526 nm; Transmittance at 527 nm; Transmittance at 528 nm; Transmittance at 529 nm; Transmittance at 530 nm; Transmittance at 531 nm; Transmittance at 532 nm; Transmittance at 533 nm; Transmittance at 534 nm; Transmittance at 535 nm; Transmittance at 536 nm; Transmittance at 537 nm; Transmittance at 538 nm; Transmittance at 539 nm; Transmittance at 540 nm; Transmittance at 541 nm; Transmittance at 542 nm; Transmittance at 543 nm; Transmittance at 544 nm; Transmittance at 545 nm; Transmittance at 546 nm; Transmittance at 547 nm; Transmittance at 548 nm; Transmittance at 549 nm; Transmittance at 550 nm; Transmittance at 551 nm; Transmittance at 552 nm; Transmittance at 553 nm; Transmittance at 554 nm; Transmittance at 555 nm; Transmittance at 556 nm; Transmittance at 557 nm; Transmittance at 558 nm; Transmittance at 559 nm; Transmittance at 560 nm; Transmittance at 561 nm; Transmittance at 562 nm; Transmittance at 563 nm; Transmittance at 564 nm; Transmittance at 565 nm; Transmittance at 566 nm; Transmittance at 567 nm; Transmittance at 568 nm; Transmittance at 569 nm; Transmittance at 570 nm; Transmittance at 571 nm; Transmittance at 572 nm; Transmittance at 573 nm; Transmittance at 574 nm; Transmittance at 575 nm; Transmittance at 576 nm; Transmittance at 577 nm; Transmittance at 578 nm; Transmittance at 579 nm; Transmittance at 580 nm; Transmittance at 581 nm; Transmittance at 582 nm; Transmittance at 583 nm; Transmittance at 584 nm; Transmittance at 585 nm; Transmittance at 586 nm; Transmittance at 587 nm; Transmittance at 588 nm; Transmittance at 589 nm; Transmittance at 590 nm; Transmittance at 591 nm; Transmittance at 592 nm; Transmittance at 593 nm; Transmittance at 594 nm; Transmittance at 595 nm; Transmittance at 596 nm; Transmittance at 597 nm; Transmittance at 598 nm; Transmittance at 599 nm; Transmittance at 600 nm; Transmittance at 601 nm; Transmittance at 602 nm; Transmittance at 603 nm; Transmittance at 604 nm; Transmittance at 605 nm; Transmittance at 606 nm; Transmittance at 607 nm; Transmittance at 608 nm; Transmittance at 609 nm; Transmittance at 610 nm; Transmittance at 611 nm; Transmittance at 612 nm; Transmittance at 613 nm; Transmittance at 614 nm; Transmittance at 615 nm; Transmittance
    Type: Dataset
    Format: text/tab-separated-values, 738492 data points
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  • 67
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    X-ray fluorescence (XRF) from ODP Site 138-846 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-05
    Keywords: 138-846B; 138-846C; AGE; Alkenone; Aluminium oxide; Barium sulfate; Calcium carbonate; Calibrated after Weltje & Tjallingi (2008); Date/Time of event; Depth, composite; DRILL; Drilling/drill rig; Eastern Equatorial Pacific; Event label; Iron oxide, Fe2O3; Joides Resolution; Latitude of event; Leg138; Longitude of event; Manganese oxide; ODP Site 846; Sample code/label; Sea surface temperature; Silicon dioxide; South Pacific Ocean; Titanium dioxide
    Type: Dataset
    Format: text/tab-separated-values, 75384 data points
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  • 68
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    Total organic carbon content of sediment core MSM12/2-05-01 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-05
    Keywords: AGE; Biomarkers; Carbon, inorganic, total; Carbon, organic, total; Coarse fraction; DEPTH, sediment/rock; Element analyser CHN, LECO; Foraminifera; GC; Gravity corer; Ice Sheet; Irminger Current; Labrador Sea; Maria S. Merian; MSM12/2; MSM12/2_647-1; MSM12/2-05-01; Sea surface; XRF
    Type: Dataset
    Format: text/tab-separated-values, 406 data points
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  • 69
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    Ice rafted debris content of sediment core MSM12/2-05-01 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-05
    Description: This dataset includes the IRD concentration of Core MSM12/2-05-01 from the eastern Labrador Sea. Here, we show the record representing the last 50 ka. IRD concentration is used for iceberg discharge.
    Keywords: AGE; Biomarkers; Calculated; Coarse fraction; DEPTH, sediment/rock; Foraminifera; GC; Gravity corer; Ice rafted debris; Ice Sheet; Irminger Current; Labrador Sea; Maria S. Merian; MSM12/2; MSM12/2_647-1; MSM12/2-05-01; Sea surface; XRF
    Type: Dataset
    Format: text/tab-separated-values, 101 data points
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  • 70
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    Clay minearlogy of sediment cores from cruise NBP19-02 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-05
    Keywords: Amundsen Sea; Antarctica; Chlorite; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Elevation of event; Event label; Glaciomarine; Illite; KAL; Kaolinite; Kasten corer; Latitude of event; Longitude of event; Marine Sediment Core; Nathaniel B. Palmer; NBP19-02; NBP19-02_KC04; NBP19-02_KC15; NBP19-02_KC19; Smectite; Thwaites Glacier; X-ray diffraction (XRD)
    Type: Dataset
    Format: text/tab-separated-values, 258 data points
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  • 71
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    Concentration and accumulation rates of highly branched isoprenoid and sterols of sediment core MSM12/2-05-01 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-05
    Description: This dataset includes concentration and accumulation rates of highly branched isoprenoid and sterols of Core MSM12/2-05-01 from the eastern Labrador Sea. Here, we show the records representing the last 50 ka. IP25 indicates sea ice algae production. Dinosterol and brassicasterol indicate open-water phytoplankton productivity.
    Keywords: 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane, per unit mass total organic carbon; 24-Methylcholesta-5,22E-dien-3beta-ol, per unit mass total organic carbon; 4alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-ol, per unit mass total organic carbon; Accumulation rate, 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane; Accumulation rate, 24-Methylcholesta-5,22E-dien-3beta-ol; Accumulation rate, 4alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-ol; AGE; Biomarkers; Calculated; Coarse fraction; DEPTH, sediment/rock; Foraminifera; Gas chromatography - Mass spectrometry (GC-MS); GC; Gravity corer; Ice Sheet; Irminger Current; Labrador Sea; Maria S. Merian; MSM12/2; MSM12/2_647-1; MSM12/2-05-01; Sea surface; XRF
    Type: Dataset
    Format: text/tab-separated-values, 1161 data points
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  • 72
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    Core top sea surface temperature data compared to modern observations in the eastern equatorial Pacific (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-05
    Keywords: 138-846; A205402GC; A210804; Alkenone; Argo; BC; Box corer; COMPCORE; Composite Core; Core; CORE; core top; DEPTH, sediment/rock; DWBG-143; DWBG-144; Eastern Equatorial Pacific; Equatorial East Pacific; Event label; GC; Gravity corer; Hakuho-Maru; HY06; Joides Resolution; KH-03-1; Knorr; KNR073-04-003; KNR073-04-008; KNR073-04-009; KNR073-04-010; KNR182-9; KNR182-9-MC15; KNR195-05-005-10-GGC; KNR195-05-14-35-GGC; KNR195-05-GGC005-10; KNR195-05-GGC14-35; KNR195-5; KNR195-5-MC12; KNR195-5-MC18; KNR195-5-MC22; KNR195-5-MC25; KNR195-5-MC33; KNR195-5-MC34; KNR733P; KNR73-4GC-008; KNR73-4GC-009; KNR73-4GC-010; Latitude of event; Leg138; Literature based; Longitude of event; ME0005A; ME0005A-25MC5; Melville; MODIS; MUC; MultiCorer; NEMO; P6702-11G; P6702-52G; Pacific Ocean; PC; Piston corer; PLDS-068BX; PLDS-070BX; PLDS-072BX; PLDS-074BX; PLDS-077BX; PLDS-090BX; PLDS-3; Pleiades; RC11; RC1112; RC11-238; RC13; RC13-108; Reference/source; Robert Conrad; Sample ID; SCAN; SCAN-095G; Sea surface temperature; South Pacific Ocean; SST; Thomas Washington; TR163-22; TR163-31; Uniform resource locator/link to reference; V19; V19-28; V19-30; V21; V21-30; Vema; VNTR01; VNTR01-10GC; VNTR01-13GC; VNTR01-9PC; Y69-71P; YALOC69; Yaquina
    Type: Dataset
    Format: text/tab-separated-values, 210 data points
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  • 73
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    Core top chlorophyll concentration compared to modern observations in the eastern equatorial Pacific (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-05
    Keywords: 138-846; A205402GC; A210804; Alkenone; Argo; BC; Box corer; Calculated; Chlorophyll, logarithm; Chlorophyll total; COMPCORE; Composite Core; Core; CORE; core top; DEPTH, sediment/rock; DWBG-143; DWBG-144; Eastern Equatorial Pacific; Equatorial East Pacific; Event label; GC; Gravity corer; Hakuho-Maru; HY06; Joides Resolution; KH-03-1; Knorr; KNR073-04-003; KNR073-04-008; KNR073-04-009; KNR073-04-010; KNR182-9; KNR182-9-MC15; KNR195-05-005-10-GGC; KNR195-05-14-35-GGC; KNR195-05-GGC005-10; KNR195-05-GGC14-35; KNR195-5; KNR195-5-MC12; KNR195-5-MC18; KNR195-5-MC22; KNR195-5-MC25; KNR195-5-MC33; KNR195-5-MC34; KNR733P; KNR73-4GC-008; KNR73-4GC-009; KNR73-4GC-010; Latitude of event; Leg138; Literature based; Longitude of event; ME0005A; ME0005A-25MC5; Melville; MODIS; MUC; MultiCorer; NEMO; P6702-11G; P6702-52G; Pacific Ocean; PC; Piston corer; PLDS-068BX; PLDS-070BX; PLDS-072BX; PLDS-074BX; PLDS-077BX; PLDS-090BX; PLDS-3; Pleiades; RC11; RC1112; RC11-238; RC13; RC13-108; Reference/source; Robert Conrad; Sample ID; SCAN; SCAN-095G; Sea surface temperature; South Pacific Ocean; SST; Thomas Washington; TR163-22; TR163-31; Uniform resource locator/link to reference; V19; V19-28; V19-30; V21; V21-30; Vema; VNTR01; VNTR01-10GC; VNTR01-13GC; VNTR01-9PC; Y69-71P; YALOC69; Yaquina
    Type: Dataset
    Format: text/tab-separated-values, 210 data points
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    DATA PANGAEA
  • 74
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    Core top alkenone (C37) data compared to modern observations in the eastern equatorial Pacific (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-05
    Keywords: 138-846; A205402GC; A210804; Alkenone; Alkenone, C37 per unit sediment mass; Argo; BC; Box corer; COMPCORE; Composite Core; Core; CORE; core top; DEPTH, sediment/rock; DWBG-143; DWBG-144; Eastern Equatorial Pacific; Equatorial East Pacific; Event label; GC; Gravity corer; Hakuho-Maru; HY06; Joides Resolution; KH-03-1; Knorr; KNR073-04-003; KNR073-04-008; KNR073-04-009; KNR073-04-010; KNR182-9; KNR182-9-MC15; KNR195-05-005-10-GGC; KNR195-05-14-35-GGC; KNR195-05-GGC005-10; KNR195-05-GGC14-35; KNR195-5; KNR195-5-MC12; KNR195-5-MC18; KNR195-5-MC22; KNR195-5-MC25; KNR195-5-MC33; KNR195-5-MC34; KNR733P; KNR73-4GC-008; KNR73-4GC-009; KNR73-4GC-010; Latitude of event; Leg138; Literature based; Longitude of event; ME0005A; ME0005A-25MC5; Melville; MODIS; MUC; MultiCorer; NEMO; P6702-11G; P6702-52G; Pacific Ocean; PC; Piston corer; PLDS-068BX; PLDS-070BX; PLDS-072BX; PLDS-074BX; PLDS-077BX; PLDS-090BX; PLDS-3; Pleiades; RC11; RC1112; RC11-238; RC13; RC13-108; Reference/source; Robert Conrad; Sample ID; SCAN; SCAN-095G; Sea surface temperature; South Pacific Ocean; SST; Thomas Washington; TR163-22; TR163-31; Uniform resource locator/link to reference; V19; V19-28; V19-30; V21; V21-30; Vema; VNTR01; VNTR01-10GC; VNTR01-13GC; VNTR01-9PC; Y69-71P; YALOC69; Yaquina
    Type: Dataset
    Format: text/tab-separated-values, 147 data points
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  • 75
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    Core top coccolithophore productivity compared to modern observations in the eastern equatorial Pacific (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-05
    Keywords: 138-846; A205402GC; A210804; Alkenone; Argo; BC; Box corer; Coccolithaceae, biomass; COMPCORE; Composite Core; Core; CORE; core top; DEPTH, sediment/rock; DWBG-143; DWBG-144; Eastern Equatorial Pacific; Equatorial East Pacific; Event label; GC; Gravity corer; Hakuho-Maru; HY06; Joides Resolution; KH-03-1; Knorr; KNR073-04-003; KNR073-04-008; KNR073-04-009; KNR073-04-010; KNR182-9; KNR182-9-MC15; KNR195-05-005-10-GGC; KNR195-05-14-35-GGC; KNR195-05-GGC005-10; KNR195-05-GGC14-35; KNR195-5; KNR195-5-MC12; KNR195-5-MC18; KNR195-5-MC22; KNR195-5-MC25; KNR195-5-MC33; KNR195-5-MC34; KNR733P; KNR73-4GC-008; KNR73-4GC-009; KNR73-4GC-010; Latitude of event; Leg138; Literature based; Longitude of event; ME0005A; ME0005A-25MC5; Melville; MODIS; MUC; MultiCorer; NEMO; P6702-11G; P6702-52G; Pacific Ocean; PC; Piston corer; PLDS-068BX; PLDS-070BX; PLDS-072BX; PLDS-074BX; PLDS-077BX; PLDS-090BX; PLDS-3; Pleiades; RC11; RC1112; RC11-238; RC13; RC13-108; Reference/source; Robert Conrad; Sample ID; SCAN; SCAN-095G; Sea surface temperature; South Pacific Ocean; SST; Thomas Washington; TR163-22; TR163-31; Uniform resource locator/link to reference; V19; V19-28; V19-30; V21; V21-30; Vema; VNTR01; VNTR01-10GC; VNTR01-13GC; VNTR01-9PC; Y69-71P; YALOC69; Yaquina
    Type: Dataset
    Format: text/tab-separated-values, 166 data points
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  • 76
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    Physical oceanography from radiation station 2019R8 (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; Pressure, water; PS122/1_1-167, 2019R8; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 108915 data points
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  • 77
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    Heating induced temperature difference measurements from radiation station 2019R8: 24 s after the heating cycle (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 90079 data points
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  • 78
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    Heating induced temperature difference measurements from radiation station 2019R8: 48 s after the heating cycle (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 53713 data points
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    DATA PANGAEA
  • 79
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    Heating induced temperature difference measurements from radiation station 2019R8: 56 s after the heating cycle (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 36366 data points
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  • 80
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    Mass accumulation rate of alkenone (C37) from ODP Site 138-846 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-05
    Keywords: 138-846; According to Herbert et al. (2021); Accumulation rate, alkenone C37; AGE; Alkenone; Alkenone, C37, logarithm; Calculated; COMPCORE; Composite Core; Eastern Equatorial Pacific; Joides Resolution; Leg138; ODP Site 846; Sea surface temperature; South Pacific Ocean
    Type: Dataset
    Format: text/tab-separated-values, 1056 data points
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  • 81
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    Mass accumulation rate of alkenone (C37) from ODP Site 138-849 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-05
    Keywords: 138-849; According to Herbert et al. (2021); Accumulation rate, alkenone C37; AGE; Alkenone; Alkenone, C37, logarithm; Calculated; COMPCORE; Composite Core; Eastern Equatorial Pacific; Joides Resolution; Leg138; North Pacific Ocean; ODP Site 846; Sea surface temperature
    Type: Dataset
    Format: text/tab-separated-values, 388 data points
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  • 82
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    Mass accumulation rate of alkenone (C37) from IODP Site 321-U1338 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-05
    Keywords: 321-U1338; According to Herbert et al. (2021); Accumulation rate, alkenone C37; AGE; Alkenone; Alkenone, C37, logarithm; Calculated; COMPCORE; Composite Core; Eastern Equatorial Pacific; Exp321; Joides Resolution; ODP Site 846; Pacific Equatorial Age Transect II / Juan de Fuca; Sea surface temperature
    Type: Dataset
    Format: text/tab-separated-values, 422 data points
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  • 83
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    Dolomite content of sediment core MSM12/2-05-01 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-05
    Description: This dataset includes XRD (Dolomite) contents of Core MSM12/2-05-01 from the eastern Labrador Sea, indicating detrital carbonate from the Laurentide Ice Sheet.
    Keywords: AGE; Biomarkers; Coarse fraction; DEPTH, sediment/rock; Dolomite; Foraminifera; GC; Gravity corer; Ice Sheet; Irminger Current; Labrador Sea; Maria S. Merian; MSM12/2; MSM12/2_647-1; MSM12/2-05-01; Sea surface; X-ray diffraction (XRD); XRF
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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  • 84
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    Seagrass-associated biodiversity (fish abundance and richness) across five countries in the Central Indo-Pacific in 2022-2023 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-29
    Description: Surveys of seagrass associated fisheries were conducted as part of a large-scale seagrass ecosystem services assessment conducted across five countries: Malaysia, Indonesia, Thailand, Philippines and Timor-Leste under the International Climate Initiative (IKI): Seagrass Ecosystem Services Project (https://www.dugongseagrass.org/projects/seagrass-ecosystem-services-project/). To survey seagrass-associated biodiversity, data collectors used Baited Remote Underwater Video systems (BRUVS) and footage was analysed by an observer, trained in fish identification, for relative abundance (MaxN) and species richness between July 2022 – June 2023. A total of 325 hours were collected from seagrass meadows across the Indo-Pacific, with depth ranges of 0.5 – 8.4 metres. Data points were selected by local NGO's and/or community members, and placed a minimum of 50m apart.
    Keywords: Ablennes hians; Abudefduf sexfasciatus; Abudefduf vaigiensis; Acanthochromis polyacanthus; Acanthurus bahianus; Acanthurus nigricaudus; Acanthurus thompsoni; Acanthurus triostegus; Acentrogobius caninus; Acreichthys tomentosus; Aeoliscus strigatus; Alepes apercna; Alepes melanoptera; Aluterus scriptus; Amanses scopas; Ambassis gymnocephalus; Amblyglyphidodon curacao; Amblyglyphidodon ternatensis; Amblygobius buanensis; Amblygobius sphynx; Amphiprion clarkii; Amphiprion polymnus; Anampses caeruleopunctatus; Anampses melanurus; Aphareus rutilans; Apogon endekataenia; Apogon kallopterus; Apogon trimaculatus; Archamia bleekeri; Area/locality; Arius maculatus; Arothron hispidus; Arothron immaculatus; Arothron manilensis; Arothron reticularis; Arothron stellatus; Aspidontus taeniatus; Asterropteryx striata; Atherinomorus lacunosus; Atule mate; Aulostomus chinensis; Aulostomus strigosus; Balistapus undulatus; Bodianus bilunulatus; BRUV; Calotomus carolinus; Calotomus spinidens; Calotomus viridescens; Cantherhines dumerilii; Cantherhines pardalis; Cantheschenia grandisquamis; Canthigaster bennetti; Canthigaster coronata; Canthigaster valentini; Carangoides orthogrammus; Carangoides praeustus; Caranx ignobilis; Caranx melampygus; Caranx sexfasciatus; Centropyge bicolor; Centropyge flavipectoralis; Centropyge vrolikii; Cephalopholis cyanostigma; Chaetodon auriga; Chaetodon kleinii; Chaetodon lunulatus; Chaetodon melannotus; Chaetodon trifascialis; Chaetodon vagabundus; Cheilinus chlorourus; Cheilinus trilobatus; Cheilodipterus artus; Cheilodipterus macrodon; Cheilodipterus parazonatus; Cheilodipterus quinquelineatus; Chelio inermis; Chelonodon patoca; Choerodon anchorago; Choerodon jordani; Chromis notata; Chromis viridis; Chrysiptera cymatilis; Chrysiptera tricincta; Cirrhilabrus condei; Cirrhilabrus temmincki; Cloud cover; Colurodontis paxmani; Comment; Coris gaimard; Coris pictoides; Country; Crenimugil crenilabis; Cryptocentrus cinctus; Cryptocentrus sericus; Ctenochaetus flavicauda; Ctenochaetus striatus; Dascyllus aruanus; Dascyllus reticulatus; Dascyllus trimaculatus; Data source; DATE/TIME; DEPTH, water; Dexillichthys aspilos; Dexillus muelleri; Diagramma pictum; Diodon holocanthus; Diodon hystrix; Diproctacanthus xanthurus; Dischistodus chrysopoecilus; Dischistodus fasciatus; Dischistodus perspicillatus; Dischistodus prosopotaenia; Dischistodus pseudochrysopoecilus; Echeneis naucrates; Echidna nebulosa; Epinephelus amblycephalus; Epinephelus areolatus; Epinephelus bleekeri; Epinephelus merra; Epinephelus rivulatus; Epinephelus sexfasciatus; Epinephelus stictus; Eubalichthys caeruleoguttatus; Event label; Eviota bifasciata; Fishing intensity; Fistularia commersonii; Gerres argyreus; Gerres erythrourus; Gerres filamentosus; Gerres oyena; Gnathanodon speciosus; GPS, Garmin, GPSMAP 79s; Gunnelichthys curiosus; Gymnocaesio gymnopterus; Gymnocranius elongatus; Gymnocranius euanus; Gymnocranius grandoculis; Gymnosarda unicolor; Gymnothorax albimarginatus; Gymnothorax buroensis; Gymnothorax cribroris; Gymnothorax flavimarginatus; Gymnothorax tile; Gymnothorax undulatus; Halicampus grayi; Halichoeres argus; Halichoeres chloropterus; Halichoeres chrysotaenia; Halichoeres chrysus; Halichoeres marginatus; Halichoeres melanochir; Halichoeres melanurus; Halichoeres pallidus; Halichoeres papilionaceus; Halichoeres scapularis; Halichoeres schwartzii; Halichoeres trimaculatus; Hemigymnus melapterus; Hemiramphus brasiliensis; Heniochus acuminatus; Heniochus diphreutes; Hexanematichthys sagor; Hipposcarus longiceps; Hologymnosus annulatus; Hoplolatilus cuniculus; Hypoatherina barnesi; Hyporhamphus limbatus; ID_Ba_1; ID_Ba_10; ID_Ba_11; ID_Ba_12; ID_Ba_13; ID_Ba_14; ID_Ba_15; ID_Ba_16; ID_Ba_17; ID_Ba_18; ID_Ba_19; ID_Ba_2; ID_Ba_20; ID_Ba_21; ID_Ba_22; ID_Ba_3; ID_Ba_4; ID_Ba_5; ID_Ba_6; ID_Ba_7; ID_Ba_9; ID_Bu_1; ID_Bu_10; ID_Bu_11; ID_Bu_12; ID_Bu_13; ID_Bu_14; ID_Bu_15; ID_Bu_16; ID_Bu_17; ID_Bu_18; ID_Bu_19; ID_Bu_2; ID_Bu_20; ID_Bu_21; ID_Bu_22; ID_Bu_23; ID_Bu_24; ID_Bu_3; ID_Bu_4; ID_Bu_5; ID_Bu_6; ID_Bu_7; ID_Bu_8; ID_Bu_9; ID_Ta_1; ID_Ta_11; ID_Ta_12; ID_Ta_13; ID_Ta_14; ID_Ta_15; ID_Ta_16; ID_Ta_17; ID_Ta_18; ID_Ta_19; ID_Ta_20; ID_Ta_21; ID_Ta_22; ID_Ta_23; ID_Ta_24; ID_Ta_4; ID_Ta_5; ID_Ta_6; ID_Ta_7; ID_Ta_8; ID_Ta_9; Identification; Indonesia; Indo-Pacific; Istiblennius lineatus; Kaupichthys brachychirus; Labroides bicolor; Labroides dimidiatus; Lagocephalus spadiceus; Lagocephalus suezensis; LATITUDE; Leptojulis cyanopleura; Leptoscarus vaigiensis; Lethrinus atkinsoni; Lethrinus erythropterus; Lethrinus genivittatus; Lethrinus harak; Lethrinus lentjan; Lethrinus microdon; Lethrinus obsoletus; Lethrinus olivacelus; Lethrinus ornatus; lethrinus ravus; Lethrinus rubrioperculatus; Lethrinus semicinctus; Lethrinus variegatus; Liza vaigiensis; LONGITUDE; Lutjanus bohar; Lutjanus carponotatus; Lutjanus ehrenbergii; Lutjanus fulviflamma; Lutjanus fulvus; Lutjanus gibbus; Lutjanus lemniscatus; Lutjanus maxweberi; Lutjanus russelli; Lutjanus vitta; Macropharyngodon negrosensis; Macrorhamphosodes platycheilus; Malacanthus brevirostris; Malaysia; Megalaspis cordyla; Megalops cyprinoides; Meiacanthus abruptus; Meiacanthus grammistes; Monacanthus chinensis; Monodactylus argenteus; Monotaxis heterodon; Mulloidichthys flavolineatus; Mulloidichthys vanicolensis; MULT; Multiple investigations; MY_Set_1; MY_Set_10; MY_Set_11; MY_Set_12; MY_Set_13; MY_Set_14; MY_Set_15; MY_Set_16; MY_Set_17; MY_Set_18; MY_Set_19; MY_Set_2; MY_Set_20; MY_Set_21; MY_Set_3; MY_Set_4; MY_Set_5; MY_Set_6; MY_Set_7; MY_Set_8; MY_Set_9; MY_Sibu_1; MY_Sibu_10; MY_Sibu_11; MY_Sibu_12; MY_Sibu_2; MY_Sibu_3; MY_Sibu_4; MY_Sibu_5; MY_Sibu_6; MY_Sibu_7; MY_Sibu_8; MY_Sibu_9; MY_Ting_1; MY_Ting_10; MY_Ting_11; MY_Ting_12; MY_Ting_13; MY_Ting_14; MY_Ting_15; MY_Ting_16; MY_Ting_17; MY_Ting_18; MY_Ting_19; MY_Ting_2; MY_Ting_20; MY_Ting_21; MY_Ting_22; MY_Ting_23; MY_Ting_24; MY_Ting_3; MY_Ting_4; MY_Ting_5; MY_Ting_6; MY_Ting_7; MY_Ting_8; MY_Ting_9; Myrichthys colubrinus; Myrichthys maculosus; Naso thynnoides; Naso unicornis; Nemipterus furcosus; Nemipterus nematophorus; Neoglyphidodon melas; Neomyxus leuciscus; Novaculichthys macrolepidotus; Novaculichthys taeniourus; Novaculoides macrolepidotus; Ostorhinchus angustatus; Ostorhinchus cavitensis; Ostorhinchus fasciatus; Ostorhinchus margaritophorus; Ostorhinchus nigrofasciatus; Ostorhinchus taeniophorus; Oxycheilinus bimaculatus; Parachaetodon ocellatus; Paramonacanthus curtorhynchos; Paramonacanthus japonicus; Paramonacanthus tricuspis; Parapercis cylindrica; Parapercis diplospilus; Parapercis lineopunctata; Parapercis snyderi; Parapercis tetracantha; Parapercis xanthozona; Parastromateus niger; Parupeneus barberinoides; Parupeneus barberinus; Parupeneus crassilabris; Parupeneus cyclostomus; Parupeneus indicus; Parupeneus macronema; Parupeneus macronemus; Parupeneus multifasciatus; Pastinachus sephen; Pelates quadrilineatus; Pentapodus bifasciatus; Pentapodus paradiseus; Pentapodus setosus; Pentapodus trivittatus; Pervagor janthinosoma; Pervagor nigrolineatus; Petroscirtes breviceps; Petroscirtes mitratus; Petroscirtes variabilis; PH_Che_1; PH_Che_2; PH_Che_3; PH_Che_4; PH_Che_5; PH_Che_6; PH_Dia_1; PH_Dia_2; PH_Dia_3; PH_Dia_4; PH_Dia_5; PH_GIE_1; PH_GIE_2; PH_GIE_3; PH_GIE_4; PH_GIE_5; PH_GIW_1; PH_GIW_2; PH_GIW_3; PH_GIW_4; PH_GIW_5; PH_GIW_6; PH_JI_1; PH_JI_10; PH_JI_11; PH_JI_12; PH_JI_13; PH_JI_14; PH_JI_15; PH_JI_16; PH_JI_17; PH_JI_18; PH_JI_19; PH_JI_2; PH_JI_20; PH_JI_21; PH_JI_22; PH_JI_23; PH_JI_3; PH_JI_4; PH_JI_5; PH_JI_6; PH_JI_7; PH_JI_8; PH_JI_9; PH_Ocam_1; PH_Ocam_10; PH_Ocam_2; PH_Ocam_3; PH_Ocam_4; PH_Ocam_5; PH_Ocam_6; PH_Ocam_7; PH_Ocam_8; PH_Ocam_9; Philippines; Platax teira; Platybelone argalus; Plectroglyphidodon leucozonus; Plot of land; Plotosus lineatus; Pomacanthus xanthometopon; Pomacentrus amboinensis; Pomacentrus imitator; Pomacentrus melanochir; Pomacentrus nagasakiensis; Pomacentrus simsiang; Pomacentrus smithi;
    Type: Dataset
    Format: text/tab-separated-values, 112197 data points
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  • 85
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    Radiosonde measurements from station Syowa (2023-05) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 22236 data points
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  • 86
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    Meteorological synoptical observations from station Syowa (2023-11) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Monitoring station; MONS; Pressure, atmospheric; SYO; Syowa; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 257782 data points
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  • 87
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    Radiosonde measurements from station Syowa (2023-02) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 25033 data points
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  • 88
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    Radiosonde measurements from station Syowa (2023-04) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 23254 data points
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  • 89
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    Dinoflagellate cysts counts of sediment core DP30PC section 8, Gulf of Taranto (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-29
    Description: Dinoflagellate cysts have been determined in sediments of core DP30PC on a resolution of 1 sample per 2.5 mm core depth (representing approximately 3 year) and 119.65 - 180.4 cm core depth. These data form the basis of high temporal resolution temperature and precipitation reconstructions for Roman times between about 200 BCE and 600 CE (ca. 205 BCE - 605 CE).
    Keywords: 64PE297; Age; Ataxiodinium choane; Bitectatodinium tepikiense; Center for Marine Environmental Sciences; Counting, dinoflagellate cysts; DEPTH, sediment/rock; Dinoflagellate cyst, other; Dinoflagellate cyst, warm water/cold water, ratio; Dinoflagellate cyst reworked; Discharge index; DP30PC; elements; Impagidinium aculeatum; Impagidinium paradoxum; Impagidinium patulum; Impagidinium plicatum; Impagidinium sphaericum; Impagidinium strialatum; Lingulodinium polyedrum; MARUM; Mediterranean; Nematosphaeropsis labyrinthus; Operculodinium israelianum; PC; Pelagia; Piston corer; Polysphaeridium zoharyi; Pseudoschizea spp.; Pyxidinopsis reticulata; Roman Climate Optimum; Spiniferites elongatus; Spiniferites mirabilis; Spiniferites ramosus; Tectatodinium pellitum; Temperature, water; Tuberculodinium vancampoae; volcanic glass shards
    Type: Dataset
    Format: text/tab-separated-values, 6092 data points
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  • 90
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    Radiosonde measurements from station Syowa (2021-12) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 27270 data points
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  • 91
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    Radiosonde measurements from station Syowa (2022-01) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 29012 data points
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  • 92
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    Meteorological synoptical observations from station Syowa (2022-03) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Monitoring station; MONS; Pressure, atmospheric; SYO; Syowa; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 267840 data points
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  • 93
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    Radiosonde measurements from station Syowa (2022-08) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 24245 data points
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  • 94
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    Seagrass structural traits across five countries in the Central Indo-Pacific in 2022-2023 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-29
    Description: Surveys of seagrass morphometrics were conducted as part of a large-scale seagrass ecosystem services assessment conducted across five countries: Malaysia, Indonesia, Thailand, Philippines and Timor-Leste under the International Climate Initiative (IKI): Seagrass Ecosystem Services Project (https://www.dugongseagrass.org/projects/seagrass-ecosystem-services-project/), between July 2022 and April 2023. Data points were selected by local NGO's and/or community members. Five random 0.25 m² quadrats were placed around each Baited Remote Underwater Video system (BRUV) point, where data on seagrass cover, seagrass species composition, algae cover, canopy height, epiphyte cover and sediment type were recorded (modified from Jones et al., 2021). Data were collected from a total of 880 quadrats, observing nine seagrass species across Indo-Pacific sample sites.
    Keywords: According to McKenzie et al. (2003); Algae, cover; Area/locality; BRUV; Canopy height; Country; Cymodocea rotundata, cover; DATE/TIME; Enhalus acoroides, cover; Epiphytes, cover; Event label; GPS, Garmin, GPSMAP 79s; Halodule pinifolia, cover; Halodule uninervis, cover; Halophila ovalis, cover; ID_Ba_1; ID_Ba_10; ID_Ba_2; ID_Ba_3; ID_Ba_4; ID_Ba_5; ID_Ba_6; ID_Ba_7; ID_Ba_8; ID_Ba_9; ID_Bu_1; ID_Bu_10; ID_Bu_11; ID_Bu_12; ID_Bu_2; ID_Bu_3; ID_Bu_4; ID_Bu_5; ID_Bu_6; ID_Bu_7; ID_Bu_8; ID_Bu_9; ID_Ta_1; ID_Ta_10; ID_Ta_11; ID_Ta_12; ID_Ta_2; ID_Ta_3; ID_Ta_4; ID_Ta_5; ID_Ta_6; ID_Ta_7; ID_Ta_8; ID_Ta_9; Identification; Indonesia; Indo-Pacific; LATITUDE; LONGITUDE; Malaysia; MULT; Multiple investigations; MY_Set_1; MY_Set_2; MY_Set_3; MY_Set_4; MY_Set_5; MY_Set_6; Oceana serrulata, cover; PH_Ba_1; PH_Ba_2; PH_Bv_1; PH_Bv_2; PH_Che_4; PH_Che_5; PH_Che_6; PH_Dia_3; PH_Dia_4; PH_Dia_5; PH_GIE_1; PH_GIE_2; PH_GIE_3; PH_GIE_4; PH_GIE_5; PH_GIW_1; PH_GIW_2; PH_GIW_3; PH_GIW_4; PH_GIW_5; PH_GIW_6; PH_JI_1; PH_JI_10; PH_JI_11; PH_JI_12; PH_JI_13; PH_JI_14; PH_JI_15; PH_JI_16; PH_JI_17; PH_JI_18; PH_JI_19; PH_JI_2; PH_JI_20; PH_JI_21; PH_JI_22; PH_JI_23; PH_JI_3; PH_JI_4; PH_JI_5; PH_JI_6; PH_JI_7; PH_JI_8; PH_JI_9; PH_Mac_1; PH_Mac_2; PH_Mac_3; PH_Mad_1; PH_Mad_2; PH_Mad_3; PH_Mad_4; PH_Mad_5; PH_Mad_6; PH_Mang_1; PH_Mang_2; PH_Mang_3; PH_Ocam_1; PH_Ocam_10; PH_Ocam_2; PH_Ocam_3; PH_Ocam_4; PH_Ocam_5; PH_Ocam_6; PH_Ocam_7; PH_Ocam_8; PH_Ocam_9; PH_Tag_1; PH_Tag_2; PH_Tag_3; Philippines; Quadrat number; Seagrass; Seagrass, cover; seagrass ecosystem services; seagrass traits; Season; Sediment type; Site; small-scale fishery; Species richness level; Syringodium isoetifolium, cover; TH_Mook_1; TH_Mook_10; TH_Mook_11; TH_Mook_12; TH_Mook_13; TH_Mook_14; TH_Mook_15; TH_Mook_16; TH_Mook_17; TH_Mook_18; TH_Mook_19; TH_Mook_2; TH_Mook_20; TH_Mook_21; TH_Mook_22; TH_Mook_23; TH_Mook_24; TH_Mook_25; TH_Mook_26; TH_Mook_27; TH_Mook_28; TH_Mook_29; TH_Mook_3; TH_Mook_30; TH_Mook_31; TH_Mook_32; TH_Mook_33; TH_Mook_34; TH_Mook_35; TH_Mook_36; TH_Mook_37; TH_Mook_38; TH_Mook_39; TH_Mook_4; TH_Mook_40; TH_Mook_41; TH_Mook_42; TH_Mook_43; TH_Mook_44; TH_Mook_45; TH_Mook_46; TH_Mook_47; TH_Mook_48; TH_Mook_49; TH_Mook_5; TH_Mook_50; TH_Mook_6; TH_Mook_7; TH_Mook_8; TH_Mook_9; TH_Suk_1; Thailand; Thalassia hemprichii, cover; Thalassodendron ciliatum, cover; Timor-Leste; TL_Bel_1; TL_Bel_2; TL_Bel_3; TL_Bel_4; TL_Bel_5; TL_Bel_6; TL_Bel_7; TL_Bel_8; TL_Biq_1; TL_Biq_2; TL_Biq_3; TL_Biq_4; TL_Biq_5; TL_Biq_6; TL_Biq_7; TL_Biq_8
    Type: Dataset
    Format: text/tab-separated-values, 21120 data points
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  • 95
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    Age-depth model, magnetic susceptibility, diffuse spectral reflectance, grain size and elemental geochemistry of sediment core COR1404-003PC (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-28
    Keywords: AGE; Age, 14C calibrated; age depth model; Aluminium; Beckman Coulter Laser diffraction particle size analyzer LS 13 320; Calcium; Color, a*; Color, b*; Color, L*, lightness; COR1404; COR1404-003PC; Coriolis II; Depth, reconstructed; DEPTH, sediment/rock; elemental geochemistry; Grain size, mean; Grain size data; Gulf of San Jorge; Gulf of San Jorge, Argentina; Iron; magnetic susceptibility; Magnetic susceptibility; Manganese; MARGES; Multi-Sensor Core Logger (MSCL), GEOTEK; Olympus InnovX Delta portable XRF; Patagonia; PC; Percentile 10; Percentile 50; Percentile 90; Piston corer; Potassium; Rubidium; Silicon; Size fraction 〉 2 mm, gravel; Spectrophotometer Minolta CM-260; Strontium; Titanium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 6167 data points
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  • 96
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    Raw fossil diatom counts of sediment core DMD-14-3 from Dronning Marie Dal saltmarsh, SE Greenland (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-28
    Description: The dataset is raw diatom counts (minimum 250 count size) from a sediment core taken from within high saltmarsh at the mouth of Dronning Marie Dal in south east Greenland (63.470N, -41.925W). The data was collected on 19/07/2014 during a research cruise to the area as part of the X_Centuries research project funded by the Danish Council for Independent Research 30 (FNU) (grant no. DFF-0602-02526B). The core was taken using a spade to dig a shallow pit from which a sediment section was extracted, wrapped in plastic and transported to the laboratory. Diatom samples were taken from the sediment core in the laboratory at 0.25 and 0.5 cm intervals using a scalpel. Sediment samples were prepared for diatom analysis using standard methods (Palmer and Abbott 1986). Counts were taken under a light microscope at 400x magnification. Only unbroken valves were counted. The taxonomy follows Van der Werff and Huls (1958-74), Hartley (1996) and Patrick and Reimer (1966, 1975). The core top elevation was surveyed in the field using a Sokkisha level to mean tide level, established via a pressure transducer that logged tidal variations at 15-min intervals at Timmiarmiut, 100 km to the South, during fieldwork. These tidal levels were related to tidal predictions at Tasiilaq, 300 km to the NE. This data was collected to reconstruct recent (last ~300 years) of relative sea-level changes from this area, in conjunction with the modern diatom training set also collected from this location.
    Keywords: Achnanthes exigua; Achnanthes sp.; Achnanthidium minutissimum; Amphora exigua; Amphora ovalis; Caloneis borealis; Cavinula variostriata; Ceratoneis arcus; Cocconeis scutellum; Core; CORE; Cosmioneis pusilla; Counting, diatoms; Delphineis surirella; DEPTH, sediment/rock; Diadesmis contenta; diatoms; Diploneis didyma; Diploneis interrupta; DMD-14-3; Dronning Marie Dal, southeast Greenland; Encyonema minutum; Eunotia exigua; Eunotia praerupta; Eunotia serra; Fallacia forcipata; Fragilaria vaucheriae; Fragilariforma virescens; Frustulia linkei; Frustulia rhomboides; Luticola mutica; Meridion circulare; Navicula brockmanni; Navicula cincta; Navicula digitoradiata; Navicula eta; Navicula flanatica; Navicula peregrina; Navicula rhynchocephala; Navicula salinarum; Nedium sp.; Nitzschia frustulum; Nitzschia fruticosa; Nitzschia linearis; Nitzschia obtusa; Nitzschia palea; Nitzschia palustris; Number; Opephora marina; Paralia sulcata; Pinnularia borealis; Pinnularia intermedia; Pinnularia microstauron; Pinnularia subcapitata; Pinnularia viridis; Placoneis elginensis; Planothidium delicatulum; Rhabdonema minutum; Saltmarsh; Sample code/label; Sellaphora pupula; southeast Greenland; Stauroneis linearis; Stauroneis producta; Staurosirella pinnata; Surirella brightwellii; Synedra rumpens; Synedra ulna; Tabellaria flocculosa; Tabularia fasciculata; Tetracyclus emarginatus; Total counts; Trachyneis aspera; Tryblionella acuminata; Tryblionella littoralis
    Type: Dataset
    Format: text/tab-separated-values, 1386 data points
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  • 97
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    Magnetic susceptibility, diffuse spectral reflectance, grain size and elemental geochemistry of sediment coreCOR1404-001PC (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-28
    Keywords: age depth model; Aluminium; Beckman Coulter Laser diffraction particle size analyzer LS 13 320; Calcium; Color, a*; Color, b*; Color, L*, lightness; COR1404; COR1404-001PC; Coriolis II; DEPTH, sediment/rock; elemental geochemistry; Grain size, mean; Grain size data; Gulf of San Jorge; Gulf of San Jorge, Argentina; Iron; magnetic susceptibility; Magnetic susceptibility; Manganese; MARGES; Multi-Sensor Core Logger (MSCL), GEOTEK; Olympus InnovX Delta portable XRF; Patagonia; PC; Percentile 10; Percentile 50; Percentile 90; Piston corer; Potassium; Rubidium; Silicon; Size fraction 〉 2 mm, gravel; Spectrophotometer Minolta CM-260; Strontium; Titanium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 1440 data points
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  • 98
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    Unknown
    Age-depth model, magnetic susceptibility, diffuse spectral reflectance, grain size and elemental geochemistry of sediment core COR1404-006PC (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-28
    Keywords: AGE; Age, 14C calibrated; age depth model; Aluminium; Beckman Coulter Laser diffraction particle size analyzer LS 13 320; Calcium; Color, a*; Color, b*; Color, L*, lightness; COR1404; COR1404-006PC; Coriolis II; Depth, reconstructed; DEPTH, sediment/rock; elemental geochemistry; Grain size, mean; Grain size data; Gulf of San Jorge; Gulf of San Jorge, Argentina; Iron; magnetic susceptibility; Magnetic susceptibility; Manganese; MARGES; Multi-Sensor Core Logger (MSCL), GEOTEK; Olympus InnovX Delta portable XRF; Patagonia; PC; Percentile 10; Percentile 50; Percentile 90; Piston corer; Potassium; Rubidium; Silicon; Size fraction 〉 2 mm, gravel; Spectrophotometer Minolta CM-260; Strontium; Titanium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 5540 data points
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  • 99
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    Unknown
    Age-depth model, magnetic susceptibility, diffuse spectral reflectance, grain size and elemental geochemistry of sediment core COR1404-008PC (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-28
    Keywords: AGE; Age, 14C calibrated; age depth model; Aluminium; Beckman Coulter Laser diffraction particle size analyzer LS 13 320; Calcium; Color, a*; Color, b*; Color, L*, lightness; COR1404; COR1404-008PC; Coriolis II; Depth, reconstructed; DEPTH, sediment/rock; elemental geochemistry; Grain size, mean; Grain size data; Gulf of San Jorge; Gulf of San Jorge, Argentina; Iron; magnetic susceptibility; Magnetic susceptibility; Manganese; MARGES; Multi-Sensor Core Logger (MSCL), GEOTEK; Olympus InnovX Delta portable XRF; Patagonia; PC; Percentile 10; Percentile 50; Percentile 90; Piston corer; Potassium; Rubidium; Silicon; Size fraction 〉 2 mm, gravel; Spectrophotometer Minolta CM-260; Strontium; Titanium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 4023 data points
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  • 100
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    Unknown
    Sample locations and whole rock geochemistry for phosphorite samples from the Cambrian Georgina Basin (2024)
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    Details
    Publication Date: 2024-03-12
    Keywords: Aluminium oxide; Ardmore; Area/locality; Barium oxide; Barr_Creek; Calcium oxide; Cerium; Chromium(III) oxide; Depth, description; DEPTH, sediment/rock; DTREE; Duchess; Dysprosium; Erbium; Europium; Event label; Gadolinium; Georgina Basin; Hole; Holmium; Iron oxide, Fe2O3; Lanthanum; Laser Ablation; LATITUDE; Lily_Creek; LONGITUDE; Loss on ignition; Lutetium; Magnesium oxide; Manganese oxide; Neodymium; Paradise_North; Paradise_South; Phosphate_Hill; Phosphorite; Phosphorus pentoxide; Potassium oxide; Praseodymium; Rare-earth elements; ROCK; Rock sample; Samarium; Sample code/label; Sherrin_Creek; Silicon dioxide; Sodium oxide; Strontium oxide; Terbium; Thorium; Thulium; Titanium dioxide; Total; Uranium; Whole rock geochemistry; Ytterbium; Yttrium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 1327 data points
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