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  • Articles  (115,218)
  • American Chemical Society  (90,089)
  • American Institute of Physics  (10,310)
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  • University of Chicago Press  (2,488)
  • Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu  (1,886)
  • 2020-2024  (2,459)
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  • 1950-1954  (82,809)
  • 1940-1944  (28,095)
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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)
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  • 2
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    Passive Sampler Derived Profiles and Mass Flows of Perfluorinated Alkyl Substances (PFASs) across the Fram Strait in the North Atlantic (2024)
    American Chemical Society
    In:  EPIC3Environmental Science & Technology Letters, American Chemical Society
    Details
    Publication Date: 2024-01-24
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 3
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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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  • 4
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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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  • 5
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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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  • 6
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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
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  • 7
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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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  • 8
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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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  • 9
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    Extraction and applications of Rayleigh wave ellipticity in polar regions (2024)
    Cambridge University Press
    Details
    Publication Date: 2024-04-05
    Description: Seismic Rayleigh wave ellipticity measurements are the horizontal-to-vertical ratio of the Rayleigh wave particle motion, and are sensitive to the subsurface structure beneath a seismic station. H/V ratios measured from the ambient vibrations of the Earth are being increasingly used in glaciological applications to determine glacier and ice sheet thickness, seismic velocities and firn properties. Using the newly developed degree-of-polarisation (DOP-E) method which exploits the polarisation properties of seismic noise, we identify and extract Rayleigh waves from seismic stations in Greenland, and relate them to sea ice processes and the geology of the upper crust. Finally, we provide some suggestions for future applications of DOP-E method to gain greater insight into seasonal and long-term variability of sea ice formation and breakup as well as the monitoring of ice sheet thickness, subglacial environment and firn layers in the poles.
    Description: Published
    Description: 3-7
    Description: OST1 Alla ricerca dei Motori Geodinamici
    Description: JCR Journal
    Keywords: 04.06. Seismology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 10
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    High-resolution magnetochronology detects multiple stages of Pleistocene tectonic uplift and deformation in the Po Plain of northern Italy (2024)
    Cambridge University Press
    Details
    Publication Date: 2024-05-29
    Description: We developed a high-resolution magnetochronology of the Pleistocene stratigraphy of the Monte Netto hillock, a tectonically uplifted struc ture in the Po Plain of northern Italy. Our data allowed reconstructing the depositional age of the sequence and assessing rates of defor mation and rock uplift of the neotectonic structure, thus providing constraints on the tectono-sedimentary evolution of this seismically active part of the buried Southern Alps. Using a combination of magnetostratigraphy and paleosecular variation analysis, we generated an age-depth model for the Monte Netto stratigraphy that encompasses, from the top, Upper Pleistocene (11–72 ka) loess-paleosols over laying fluvial sediments spanning the Brunhes-Matuyama boundary (773 ka) and the top of the Jaramillo (990 ka). The identification of the same magneto-chronostratigraphic surfaces in nearby drill cores from regions of the Po Plain that have not been affected by neotectonic deformation allowed estimating a mean rate of tectonic uplift of the hillock relative to the neighboring plain of 11.3 ± 1.5 cm/ka, and an absolute uplift relative to sea level of ∼19.3 cm/ka. Finally, our paleomagnetic analyses from the uppermost loess sequence disclosed the complexity of the tectonic evolution of the Monte Netto structure, which shows evidence of a two-phase rotational deformation linked to coseismic surface faulting due to recent seismic activity.
    Description: Published
    Description: 191-205
    Description: JCR Journal
    Keywords: Magnetochronology ; Pleistocene ; Paleosecular variations ; Loess-paleosols ; Neotectonic deformation ; Po Plain
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 11
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    Hydrological and volcano-related gravity signals at Mt. Somma–Vesuvius from ∼20 yr of time-lapse gravity monitoring: implications for volcano quiescence (2024)
    Oxford University Press
    Details
    Publication Date: 2024-05-27
    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 report on about 20 yr of relative gravity measurements, acquired on Mt. Somma–Vesuvius volcano in order to investigate the hydrological and volcano-tectonic processes controlling the present-day activity of the volcano. The retrieved long-term field of time gravity change (2003–2022) shows a pattern essentially related to the subsidence, which have affected the central part of the volcano, as detected by the permanent GNSS network and InSAR data. After reducing the observations for the effect of vertical deformation, no significant residuals are found, indicating no significant mass accumulation or loss within the volcanic system. In the north-western sector of the study area, at the border of the volcano edifice, however, significant residual positive gravity changes are detected which are associated to ground-water rebound after years of intense exploitation of the aquifers. On the seasonal timescale, we find that stations within the caldera rim are affected by the seasonal hydrological effects, while the gravity stations at the base of the Vesuvius show a less clear correlation. Furthermore, within the caldera rim a multiyear gravity transient is detected with an increase phase lasting about 4 yr followed by a slower decrease phase. Analysis of rain data seem to exclude a hydrological origin, hence, we hypothesize a deeper source related to the geothermal activity, which can be present even if the volcano is in a quiescent state. We infer the depth and volume of the source by inverting the spatial pattern of the gravity field at the peak of the transient. A volume of fluids of 9.5 × 107 m3 with density of 1000 kg m−3 at 2.3 km depth is capable to fit reasonably well the observations. To explain the gravity transient, simple synthetic models are produced, that simulate the ascent of fluids from a deep reservoir up to the depth of 2.3 km and a successive diffusion within the carbonate aquifer hosting the geothermal system. The whole process appears to not significantly affect the seismicity rate and the deformation of the volcano. This study demonstrates the importance of a 4-D gravity monitoring of a volcano to understand its complex gravity signals that cover different spatial and temporal scales. Discriminating the different contributions that mix up in the observed gravity changes, in particular those due to hydrologic/anthropogenic activities form those due to the geothermal dynamics, is fundamental for a complete and reliable evaluation of the volcano state.
    Description: Published
    Description: 1565–1580
    Description: OSV2: Complessità dei processi vulcanici: approcci multidisciplinari e multiparametrici
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 12
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    Comparison between alarm-based and probability-based earthquake forecasting methods (2024)
    Oxford University Press
    Details
    Publication Date: 2024-05-09
    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: In a recent work, we applied the every earthquake a precursor according to scale (EEPAS) probabilistic model to the pseudo-prospective forecasting of shallow earthquakes with magni- tude M 5.0 in the Italian region. We compared the forecasting performance of EEPAS with that of the epidemic type aftershock sequences (ETAS) forecasting model, using the most recent consistency tests developed within the collaboratory for the study of earthquake predictabil- ity (CSEP). The application of such models for the forecasting of Italian target earthquakes seems to show peculiar characteristics for each of them. In particular, the ETAS model showed higher performance for short-term forecasting, in contrast, the EEPAS model showed higher forecasting performance for the medium/long-term. In this work, we compare the performance of EEPAS and ETAS models with that obtained by a deterministic model based on the occur- rence of strong foreshocks (FORE model) using an alarm-based approach. We apply the two rate-based models (ETAS and EEPAS) estimating the best probability threshold above which we issue an alarm. The model parameters and probability thresholds for issuing the alarms are calibrated on a learning data set from 1990 to 2011 during which 27 target earthquakes have occurred within the analysis region. The pseudo-prospective forecasting performance is as- sessed on a validation data set from 2012 to 2021, which also comprises 27 target earthquakes. Tests to assess the forecasting capability demonstrate that, even if all models outperform a purely random method, which trivially forecast earthquake proportionally to the space–time occupied by alarms, the EEPAS model exhibits lower forecasting performance than ETAS and FORE models. In addition, the relative performance comparison of the three models demonstrates that the forecasting capability of the FORE model appears slightly better than ETAS, but the difference is not statistically significant as it remains within the uncertainty level. However, truly prospective tests are necessary to validate such results, ideally using new testing procedures allowing the analysis of alarm-based models, not yet available within the CSEP.
    Description: Published
    Description: 1541–1551
    Description: OST4 Descrizione in tempo reale del terremoto, del maremoto, loro predicibilità e impatto
    Description: JCR Journal
    Keywords: Computational seismology ; Earthquake interaction, forecasting and prediction ; Statistical seismology ; Comparison betwee earthquake forecasting methods
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  • 13
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    Low-strength shear zone in the western Makran subduction zone, southeastern Iran: insights from a receiver function analysis (2024)
    Oxford University Press
    Details
    Publication Date: 2024-05-09
    Description: To understand the seismic hazard of a subduction zone, it is necessary to know the geometry, location and mechanical characteristics of the interplate boundary below which an oceanic plate is thrust downward. By considering the azimuthal dependence of converted P-to-S (Ps) amplitudes in receiver functions, we have detected the interplate boundary in the Makran subduction zone, revealing significant seismic anisotropy at the base of the accretionary wedge above the slab before it bends down beneath the Jaz Murian basin. This anisotropic feature aligns with a zone of reduced seismic velocity and a high primary/secondary wave velocity ratio (Vp/Vs), as documented in previous studies. The presence of this low-velocity highly anisotropic layer at the base of the accretionary wedge, likely representing a low-strength shear zone, could possibly explain the unusually wide accretionary wedge in Makran. Additionally, it may impact the location and width of the locked zone along the interplate boundary.
    Description: Iranian National Science Foundation (INSF)
    Description: Published
    Description: 64-74
    Description: OST1 Alla ricerca dei Motori Geodinamici
    Description: JCR Journal
    Keywords: Earthquake hazards, Seismic anisotropy, Crustal structure, Subduction zone processes ; 04.06. Seismology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 14
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    Application of the EEPAS earthquake forecasting model to Italy (2024)
    Oxford University Press
    Details
    Publication Date: 2024-05-09
    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: The Every Earthquake a Precursor According to Scale (EEPAS) forecasting model is a space– time point-process model based on the precursory scale increase (ψ ) phenomenon and associated predictive scaling relations. It has been previously applied to New Zealand, Cal- ifornia and Japan earthquakes with target magnitude thresholds varying from about 5–7. In all previous application, computations were done using the computer code implemented in Fortran language by the model authors. In this work, we applied it to Italy using a suite of computing codes completely rewritten in Matlab. We first compared the two software codes to ensure the convergence and adequate coincidence between the estimated model parameters for a simple region capable of being analysed by both software codes. Then, using the rewritten codes, we optimized the parameters for a different and more complex polygon of analysis using the Homogenized Instrumental Seismic Catalogue data from 1990 to 2011. We then perform a pseudo-prospective forecasting experiment of Italian earthquakes from 2012 to 2021 with Mw ≥ 5.0 and compare the forecasting skill of EEPAS with those obtained by other time in- dependent (Spatially Uniform Poisson, Spatially Variable Poisson and PPE: Proximity to Past Earthquakes) and time dependent [Epidemic Type Aftershock Sequence (ETAS)] forecasting models using the information gain per active cell. The preference goes to the ETAS model for short time intervals (3 months) and to the EEPAS model for longer time intervals (6 months to 10 yr).
    Description: Published
    Description: 1681–1700
    Description: OST4 Descrizione in tempo reale del terremoto, del maremoto, loro predicibilità e impatto
    Description: JCR Journal
    Keywords: Computational seismology ; Earthquake interaction ; forecasting and prediction ; Statistical seismology ; Earthquake forecasting
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  • 15
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    The Influence of Undercooling and Sector Zoning on Clinopyroxene–Melt Equilibrium and Thermobarometry (2024)
    Oxford University Press
    Details
    Publication Date: 2024-06-17
    Description: Thermobarometry provides a critical means of assessing locations of magma storage and dynamics in the lead-up to volcanic eruptions and crustal growth. A common approach is to utilise minerals that have compositions sensitive to changes in pressure and/or temperature, such as clinopyroxene, which is ubiquitous in mafic to intermediate magmas. However, clinopyroxene thermobarometry may carry significant uncertainty and require an appropriate equilibrium melt composition. In addition, the degree of magma undercooling (ΔT) affects clinopyroxene composition and zoning, with common sector zoning potentially obfuscating thermobarometry results. Here, we use a set of crystallisation experiments on a primitive trachybasalt from Mt. Etna (Italy) at ΔT = 25–233 °C, P = 400–800 MPa, H2O = 0–4 wt % and fO2 = NNO + 2, with clinopyroxene crystals defined by Al-rich zones (prisms and skeletons) and Al-poor zones (hourglass and overgrowths) to assess common equilibrium models and thermobarometric approaches. Under the studied conditions, our data suggest that the commonly applied Fe–Mg exchange (cpx-meltKdFe–Mg) is insensitive to increasing ΔT and may not be a reliable indicator of equilibrium. The combined use of DiHd (CaMgSi2O6 + CaFeSi2O6) and EnFs (Mg2Si2O6 + Fe2Si2O6) models indicate the attainment of equilibrium in both Al-rich and Al-poor zones for almost all investigated ΔT. In contrast, CaTs (CaAl2SiO6) and CaTi (CaTiAl2O6) models reveal substantial deviations from equilibrium with increasing ΔT, particularly in Al-rich zones. We postulate that this reflects slower diffusion of Al and Ti in the melt compared with Ca and Mg and recommend the concurrent application of these four models to evaluate equilibrium between clinopyroxene and melt, particularly for sector-zoned crystals. Thermobarometers calibrated with only isothermal–isobaric experiments closely reproduce experimental P–T at low ΔT, equivalent to natural phenocrysts cores and sector-zoned mantles. Models that also consider decompression experiments are most accurate at high ΔT and are therefore suitable for outermost phenocryst rims and groundmass microlites. Recent machine learning approaches reproduce P–T conditions across all ΔT conditions. Applying our experimental constraints to sector-zoned microphenocrysts and groundmass microlites erupted during the 1974 eccentric eruption at Mt. Etna, we highlight that both hourglass and prism sectors are suitable for thermobarometry, given that equilibrium is sufficiently tested for. The combination of DiHd, EnFs, CaTs and CaTi models identifies compositions closest to equilibrium with the bulk melt composition, and results in smaller differences in P–T calculated for hourglass and prism sectors compared with applying only DiHd and EnFs equilibrium models. This provides a framework to assess crystallisation conditions recorded by sector-zoned clinopyroxene crystals in mafic alkaline settings.
    Description: Published
    Description: egad074
    Description: OSV2: Complessità dei processi vulcanici: approcci multidisciplinari e multiparametrici
    Description: JCR Journal
    Keywords: Experimental Petrology ; Petrology ; Clinopyroxene ; Thermobarometry ; Experimental Petrology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 16
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    Holocene relative sea-level changes along the Caribbean and Pacific coasts of northwestern South America (2024)
    Cambridge University Press
    Details
    Publication Date: 2024-06-13
    Description: All Rights Reserved
    Description: Predicting coastal change depends upon our knowledge of postglacial relative sea-level variability, partly controlled by glacio-isostatic responses to ice-sheet melting. Here, we reconstruct the postglacial relative sea-level changes along the Caribbean and Pacific coasts of northwestern South America by numerically solving the sea-level equation with two scenarios of mantle viscosity: global standard average and high viscosity. Our results with the standard model (applicable to the Pacific coast) agree with earlier studies by indicating a mid-Northgrippian high stand of ~2 m. The high-viscosity simulation (relevant to the Caribbean coast) shows that the transition from far- to intermediate-field influence of the Laurentide Ice Sheet occurs between Manzanillo del Mar and the Gulf of Morrosquillo. South of this location, the Colombian Caribbean coast has exhibited a still stand with a nearly constant Holocene relative sea level. By analyzing our simulations considering sea-level indicators, we argue that tectonics is more prominent than previously assumed, especially along the Caribbean coast. This influence prevents a simplified view of regional relative sea-level changes on the northwestern South American coast.
    Description: Published
    Description: 28-43
    Description: OSA4: Ambiente marino, fascia costiera ed Oceanografia operativa
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 17
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    Mass-change And Geosciences International Constellation (MAGIC) expected impact on science and applications (2024)
    Oxford University Press
    Details
    Publication Date: 2024-07-02
    Description: The joint ESA/NASA Mass-change And Geosciences International Constellation (MAGIC) has the objective to extend time-series from previous gravity missions, including an improvement of accuracy and spatio-temporal resolution. The long-term monitoring of Earth’s gravity field carries information on mass change induced by water cycle, climate change and mass transport processes between atmosphere, cryosphere, oceans and solid Earth. MAGIC will be composed of two satellite pairs flying in different orbit planes. The NASA/DLR-led first pair (P1) is expected to be in a near-polar orbit around 500 km of altitude; while the second ESA-led pair (P2) is expected to be in an inclined orbit of 65°–70° at approximately 400 km altitude. The ESA-led pair P2 Next Generation Gravity Mission shall be launched after P1 in a staggered manner to form the MAGIC constellation. The addition of an inclined pair shall lead to reduction of temporal aliasing effects and consequently of reliance on de-aliasing models and post-processing. The main novelty of the MAGIC constellation is the delivery of mass-change products at higher spatial resolution, temporal (i.e. subweekly) resolution, shorter latency and higher accuracy than the Gravity Recovery and Climate Experiment (GRACE) and Gravity Recovery and Climate Experiment Follow-On (GRACE-FO). This will pave the way to new science applications and operational services. In this paper, an overview of various fields of science and service applications for hydrology, cryosphere, oceanography, solid Earth, climate change and geodesy is provided. These thematic fields and newly enabled applications and services were analysed in the frame of the initial ESA Science Support activities for MAGIC. The analyses of MAGIC scenarios for different application areas in the field of geosciences confirmed that the double-pair configuration will significantly enlarge the number of observable mass-change phenomena by resolving smaller spatial scales with an uncertainty that satisfies evolved user requirements expressed by international bodies such as IUGG. The required uncertainty levels of dedicated thematic fields met by MAGIC unfiltered Level-2 products will benefit hydrological applications by recovering more than 90 per cent of the major river basins worldwide at 260 km spatial resolution, cryosphere applications by enabling mass change signal separation in the interior of Greenland from those in the coastal zones and by resolving small-scale mass variability in challenging regions such as the Antarctic Peninsula, oceanography applications by monitoring meridional overturning circulation changes on timescales of years and decades, climate applications by detecting amplitude and phase changes of Terrestrial Water Storage after 30 yr in 64 and 56 per cent of the global land areas and solid Earth applications by lowering the Earthquake detection threshold from magnitude 8.8 to magnitude 7.4 with spatial resolution increased to 333 km.
    Description: Published
    Description: 1288–1308
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 18
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    Weak solutions to Allen–Cahn-like equations modelling consolidation of porous media (2024)
    Oxford University Press
    Details
    Publication Date: 2024-07-12
    Description: We study the weak solvability of a system of coupled Allen–Cahn-like equations resembling cross- diffusion which arises as a model for the consolidation of saturated porous media. Besides using energy- like estimates, we cast the special structure of the system in the framework of the Leray–Schauder fixed- point principle and ensure in this way the local existence of strong solutions to a regularized version of our system. Furthermore, weak convergence techniques ensure the existence of weak solutions to the original consolidation problem. The uniqueness of global-in-time solutions is guaranteed in a particular case. Moreover, we use a finite difference scheme to show the negativity of the vector of solutions.
    Description: Published
    Description: 224–250
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 19
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    The ground deformation of the south-eastern flank of Mount Etna monitored by GNSS and SAR interferometry from 2016 to 2019 (2023)
    Oxford University Press
    Details
    Publication Date: 2023-12-27
    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: The south-eastern sector of the Mount Etna, Italy, is characterized by numerous active faults, in particular the Belpasso–Ognina lineament, the Tremestieri–San Gregorio–Acitrezza fault, the Trecastagni fault and the Fiandaca–Nizzeti fault including the Timpe Fault System. Their activity is the result of both volcanism and tectonics. Here, we analyse the ground deformation occurred from 2016 to 2019 across those active faults by using the GNSS data acquired at 22 permanent stations and 35 campaign points observed by the Etna Observatory (INGV) and by the University of Catania. We also use the time-series of line of sight displacement of permanent scatterers SENTINEL-1 A-DInSAR obtained by using the P-SBAS tool of the ESA GEP-TEP (Geohazards Thematic Exploitation Platform) service. We discriminate the contributions of the regional tectonic strain, the inflations, the deflations of the volcano and the gravitational sliding in order to analyse the deformation along the faults of the south-eastern flank of Etna. The shallow and destructive Mw = 4.9 earthquake of 2018 December 26 occurred within the studied area two days after a dyke intrusion, that propagated beneath the centre of the volcano accompanied by a short eruption. Both GNSS and InSAR time-series document well those events and allow to investigate the post-seismic sliding across the faults of south-eastern flank. We analyse the slow slip events (SSE) that are observed in the GNSS and InSAR time-series in the vicinity of the Acitrezza fault. We quantify and discuss the tectonic origin of the Belpasso–Ognina lineament that we interpreted as a tear fault.
    Description: Published
    Description: 664–682
    Description: OST3 Vicino alla faglia
    Description: JCR Journal
    Keywords: Satellite geodesy ; Transient deformation ; Interferometry ; Fractures ; fault ; Volcano monitoring
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 20
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    Salinity tolerance of oysters without acclimation in lab conditions: mortality (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-28
    Description: Dataset: Salinity tolerance without acclimation: Mortality
    Description: The mortality of oyster spat spawned from four different wild broodstocks (first filial generation) was measured when exposed to five different salinities (without acclimation) under controlled laboratory conditions. Oyster broodstocks were sourced from two populations in Louisiana (Calcasieu Lake; 29°50′58′′N, 93°17′1′′W, and Vermilion Bay; 29°34′47′′N, 92°2′4′′W) and two populations in Texas (Packery Channel; 27°37′38′′N, 97°13′59′′W, and Aransas Bay; 28°7′38′′N, 96°59′8′′W). Mortality was recorded in oyster spat that were exposed to salinities of 2, 4, 20, 38 and 44 without acclimation under laboratory conditions. Changes in water quality and spat size were also recorded. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/870210
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737207
    Keywords: Crassostrea virginica ; oyster mortality ; salinity acclimation
    Repository Name: Woods Hole Open Access Server
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  • 21
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    Seawater concentration data from an ocean acidification exposure experiment on adult Eastern oysters from Plum Island Sound in 2017 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-28
    Description: Dataset: Seawater and Extrapallial fluid Concentration
    Description: Trace, minor, and major element data from adult Eastern oyster ocean acidification exposure experiments were conducted at the Ries Lab at the Northeastern University Marine Science Center on samples from Plum Island Sound in 2017. This dataset represents the phenotypic and molecular responses in the extrapallial fluid in the adult eastern oyster (Crassostrea virginica) exposed to experimental ocean acidification (OA) over 80 days. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/888887
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1635423
    Keywords: Oyster ; extrapallial fluid ; trace elements ; ocean acidification
    Repository Name: Woods Hole Open Access Server
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  • 22
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    Shell Concentrations from an adult Eastern oyster ocean acidification exposure experiment on adult Eastern oysters from Plum Island Sound in 2017 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-28
    Description: Dataset: Shell Concentrations
    Description: Trace, minor, and major element data from adult Eastern oyster ocean acidification exposure experiments were conducted at the Ries Lab at the Northeastern University Marine Science Center on samples from Plum Island Sound in 2017. This dataset represents shell Concentrations of the adult eastern oyster (Crassostrea virginica) exposed to experimental ocean acidification (OA) over 80 days. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/888902
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1635423
    Keywords: Oyster ; extrapallial fluid ; trace elements ; ocean acidification
    Repository Name: Woods Hole Open Access Server
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  • 23
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    Molar Ratios from an adult Eastern oyster ocean acidification exposure experiment at the Northeastern University Marine Science Center in 2017 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-28
    Description: Dataset: Molar Ratios
    Description: Trace, minor, and major element data from adult Eastern oyster ocean acidification exposure experiments were conducted at the Ries Lab at the Northeastern University Marine Science Center on samples from Plum Island Sound in 2017. This dataset represents molar ratio data that were processed using R, using the graphical interface RStudio and then converted to molar ratios to calcium. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/888911
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1635423
    Keywords: Oyster ; extrapallial fluid ; trace elements ; ocean acidification
    Repository Name: Woods Hole Open Access Server
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  • 24
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    Salinity tolerance of oysters without acclimation in lab conditions: Water Quality (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-28
    Description: Dataset: Salinity tolerance without acclimation: Water Quality
    Description: The mortality of oyster spat spawned from four different wild broodstocks (first filial generation) was measured when exposed to five different salinities (without acclimation) under controlled laboratory conditions. Oyster broodstocks were sourced from two populations in Louisiana (Calcasieu Lake; 29°50′58′′N, 93°17′1′′W, and Vermilion Bay; 29°34′47′′N, 92°2′4′′W) and two populations in Texas (Packery Channel; 27°37′38′′N, 97°13′59′′W, and Aransas Bay; 28°7′38′′N, 96°59′8′′W). Mortality was recorded in oyster spat that were exposed to salinities of 2, 4, 20, 38 and 44 without acclimation under laboratory conditions. Changes in water quality and spat size were also recorded. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/870316
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737207
    Keywords: Crassostrea virginica ; oyster mortality ; salinity acclimation
    Repository Name: Woods Hole Open Access Server
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  • 25
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    Salinity tolerance of oysters without acclimation in lab conditions: shell heights (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-28
    Description: Dataset: Salinity tolerance without acclimation: Shell Heights
    Description: The mortality of oyster spat spawned from four different wild broodstocks (first filial generation) was measured when exposed to five different salinities (without acclimation) under controlled laboratory conditions. Oyster broodstocks were sourced from two populations in Louisiana (Calcasieu Lake; 29°50′58′′N, 93°17′1′′W, and Vermilion Bay; 29°34′47′′N, 92°2′4′′W) and two populations in Texas (Packery Channel; 27°37′38′′N, 97°13′59′′W, and Aransas Bay; 28°7′38′′N, 96°59′8′′W). Mortality was recorded in oyster spat that were exposed to salinities of 2, 4, 20, 38 and 44 without acclimation under laboratory conditions. Changes in water quality and spat size were also recorded. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/870248
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737207
    Keywords: Crassostrea virginica ; Oystermortality ; salinity acclimation
    Repository Name: Woods Hole Open Access Server
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  • 26
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    Measurements of Kr/Ar and N2/Ar ratios in stored dissolved gas samples collected in 1981 through the Transient Tracers in the Ocean (TTO) program North Atlantic Survey (NAS) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-28
    Description: Dataset: Elemental and isotopic noble gas ratios and N2/Ar from the North Atlantic: TTO data
    Description: This dataset includes measurements of Kr/Ar and N2/Ar ratios in stored dissolved gas samples collected in 1981 through the Transient Tracers in the Ocean (TTO) program. These data were used, along with new observations of heavy noble gas ratios (elemental and isotopic ratios) from the Bermuda Atlantic Time-series (BATS) on cruise 10391 (30 April 2022 - 05 May 2022), to model simulations of these tracers using the Transport Matrix Method (TMM). Together these new measurements and model simulations provide insight into physical processes governing gas exchange in the high-latitude regions of North Atlantic Deep Water formation, and a comparison of physical simulations of N2/Ar ratios to observations in TTO samples reveals excess N2 that arises from benthic denitrification in the deep North Atlantic. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/890427
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2122427, NSF Division of Ocean Sciences (NSF OCE) OCE-1923915
    Keywords: noble gas ; North Atlantic ; nitrogen ; gas exchange
    Repository Name: Woods Hole Open Access Server
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  • 27
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    Elemental and isotopic noble gas ratios from the Bermuda Atlantic Time-series (BATS) on cruise 10391 on R/V Atlantic Explorer (AE2208) from 30 April 2022 to 05 May 2022 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-28
    Description: Dataset: Elemental and isotopic noble gas ratios and N2/Ar from the North Atlantic: BATS data
    Description: This dataset includes new observations of heavy noble gas ratios (elemental and isotopic ratios) from the Bermuda Atlantic Time-series (BATS) on cruise 10391 on R/V Atlantic Explorer (AE2208) from 30 April 2022 - 05 May 2022. These data were used, along with measurements of Kr/Ar and N2/Ar ratios in stored dissolved gas samples from the Transient Tracers in the Ocean (TTO) program, to model simulations of these tracers using the Transport Matrix Method (TMM). Together these new measurements and model simulations provide insight into physical processes governing gas exchange in the high-latitude regions of North Atlantic Deep Water formation, and a comparison of physical simulations of N2/Ar ratios to observations in TTO samples reveals excess N2 that arises from benthic denitrification in the deep North Atlantic. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/890342
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2122427, NSF Division of Ocean Sciences (NSF OCE) OCE-1923915
    Keywords: noble gas ; North Atlantic ; nitrogen ; gas exchange
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  • 28
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    Isotopic analysis of ¹³C and ¹⁵N for sponges, coral, and zooxanthellae (family Symbiodiniaceae) used in a 'pulse-chase' experiment to examine the uptake of sponge-derived nutrients by the coral holobiont (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-28
    Description: Dataset: Stable Isotope 13C and 15N
    Description: These are raw data from isotopic analysis of ¹³C and ¹⁵N for sponges, coral, and zooxanthellae (family Symbiodiniaceae) used in a 'pulse-chase' experiment to examine the uptake of sponge-derived nutrients by the coral holobiont. Coral were collected from the Florida Keys National Marine Sanctuary and the experiments were carried out at the Climate and Acidification Ocean Simulator (CAOS) at Mote Marine Laboratory at Summerland Key, Florida, USA. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/889857
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1924540, NSF Division of Ocean Sciences (NSF OCE) OCE-1923962
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  • 29
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    Model simulations of elemental and isotopic heavy noble gas ratios using the Transport Matrix Method (TMM) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-28
    Description: Dataset: Elemental and isotopic noble gas ratios and N2/Ar from the North Atlantic: model simulations
    Description: This dataset includes model simulations of the following tracers using the Transport Matrix Method (TMM): (i) new observations of heavy noble gas ratios (elemental and isotopic ratios) from the Bermuda Atlantic Time-series (BATS) on cruise 10391 (30 April 2022 - 05 May 2022), and (ii) measurements of Kr/Ar and N2/Ar ratios in stored dissolved gas samples collected in 1981 through the Transient Tracers in the Ocean (TTO) program. Together these measurements and model simulations provide insight into physical processes governing gas exchange in the high-latitude regions of North Atlantic Deep Water formation, and a comparison of physical simulations of N2/Ar ratios to observations in TTO samples reveals excess N2 that arises from benthic denitrification in the deep North Atlantic. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/890293
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2122427, NSF Division of Ocean Sciences (NSF OCE) OCE-1923915
    Keywords: noble gas ; North Atlantic ; nitrogen ; gas exchange
    Repository Name: Woods Hole Open Access Server
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  • 30
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    Strong ground-motion prediction equations from induced earthquakes in St. Gallen geothermal field, Switzerland (2023)
    Oxford University Press
    Details
    Publication Date: 2023-03-15
    Description: Ground shaking, whether it is due to natural or induced earthquakes, has always been a matter of concern since it correlates with structural/non-structural damage and can culminate in human anxiety. Industrial activities such as water injection, gas sequestration and waste fluid disposals, promote induced seismicity and consequent ground shaking that can hinder ongoing activities. Therefore, keeping in mind the importance of timely evaluation of a seismic hazard and its mitigation for societal benefits, the present study proposes specifically designed ground-motion prediction equations (GMPEs) from induced earthquakes in the St. Gallen geothermal area, Switzerland. The data analysed in this study consist of 343 earthquakes with magnitude −1.17 ≤ ML, corr ≤ 3.5 and hypocentral distance between 4 and 15 km. The proposed study is one of the first to incorporate ground motions from negative magnitude earthquakes for the development of GMPEs. The GMPEs are inferred with a two-phase approach. In the first phase, a reference model is obtained by considering the effect of source and medium properties on the ground motion. In the second phase the final model is obtained by including a site/station effect. The comparison between the GMPEs obtained in the present study with GMPEs developed for the other induced seismicity environments highlights a mismatch that is ascribed to differences in regional seismic environment and local site conditions of the respective regions. This suggests that, when dealing with induced earthquakes, GMPEs specific for the study should be inferred and used for both monitoring purposes and seismic hazard analyses.
    Description: Published
    Description: 820–832
    Description: 5T. Sismologia, geofisica e geologia per l'ingegneria sismica
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 31
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    Superparamagnetic Iron Oxide Nanoparticle Nanodevices Based on Fe3O4 Coated by Megluminic Ligands for the Adsorption of Metal Anions from Water (2023)
    American Chemical Society
    Details
    Publication Date: 2023-01-16
    Description: The uptake ability toward arsenic(V), chromium(VI), and boron(III) ions of ad hoc functionalized magnetic nanostructured devices has been investigated. To this purpose, ligands based on meglumine have been synthesized and used to coat magnetite nanoparticles (Fe3O4) obtained by the co-precipitation methodology. The as-prepared hybrid material was characterized by infrared spectroscopy (IR), X-ray diffraction, thermogravimetric analysis, and scanning electron microscopy combined with energy-dispersive X-ray analysis. Moreover, its magnetic hysteresis properties were measured to evaluate its magnetic properties, and the adsorption kinetics and isothermal models were applied to discern between the different adsorption phenomena. Specifically, the better fitting was observed by the Langmuir isotherm model for all metal ions tested, highlighting a higher uptake in arsenic (28.2 mg/g), chromium (12.3 mg/g), and boron (23.7 mg/g) sorption values if compared with other magnetic nanostructured materials. After adsorption, an external magnetic stimulus can be used to efficiently remove nanomaterials from the water. Finally the nanomaterial can be reused up to five cycles and regenerated for another three cycles.
    Description: Published
    Description: 10775–10788
    Description: 1A. Geomagnetismo e Paleomagnetismo
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 32
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    Experimental sump pCO2 data collected as part of a study of pCO2 variability on the reef-building coral Pocillopora damicornis conducted at Heron Island Research Station, Heron Island, southern Great Barrier Reef in 2021 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-18
    Description: Dataset: In-field and experimental measurements of environmental conditions: pCO2
    Description: This dataset contains experimental sump pCO2 data. These data were collected as part of a study of pCO2 variability on the reef-building coral Pocillopora damicornis conducted at Heron Island Research Station, Heron Island, southern Great Barrier Reef in 2021 (Brown et al., 2022). Abstract for all data from the study (Brown et al., 2022) including this dataset: Ocean acidification is a growing threat to coral growth and the accretion of coral reef ecosystems. Corals inhabiting environments that already endure extreme diel pCO2 fluctuations, however, may represent acidification resilient populations capable of persisting on future reefs. Here, we examined the impact of pCO2 variability on the reef-building coral Pocillopora damicornis originating from reefs with contrasting environmental histories (variable reef flat vs. stable reef slope) following reciprocal exposure to stable (218 ± 9) or variable (911 ± 31) diel pCO2 amplitude (μtam) in aquaria over eight weeks. This study measured: growth (net calcification, extension, CaCO3 density) and physiology (dark respiration, light-enhanced dark respiration, host soluble protein, mycosporine-like amino acids, net photosynthesis, photosynthetic efficiency, endosymbiont density, chlorophyll a concentration, intracellular pH) of P. damicornis across treatment and origin. See all datasets related to this publication (https://www.bco-dmo.org/related-resource/885684). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/885674
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1923743
    Keywords: ocean acidification ; coral reefs ; acclimatization ; environmental variability ; extreme environments
    Repository Name: Woods Hole Open Access Server
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    Experimental and in situ seawater nutrient data collected as part of a study of pCO2 variability on the reef-building coral Pocillopora damicornis conducted at Heron Island Research Station, Heron Island, southern Great Barrier Reef in 2021 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-18
    Description: Dataset: In-field and experimental measurements of environmental conditions: nutrients
    Description: This dataset contains experimental and in situ seawater nutrient data. These data were collected as part of a study of pCO2 variability on the reef-building coral Pocillopora damicornis conducted at Heron Island Research Station, Heron Island, southern Great Barrier Reef in 2021 (Brown et al., 2022). Abstract for all data from the study (Brown et al., 2022) including this dataset: Ocean acidification is a growing threat to coral growth and the accretion of coral reef ecosystems. Corals inhabiting environments that already endure extreme diel pCO2 fluctuations, however, may represent acidification resilient populations capable of persisting on future reefs. Here, we examined the impact of pCO2 variability on the reef-building coral Pocillopora damicornis originating from reefs with contrasting environmental histories (variable reef flat vs. stable reef slope) following reciprocal exposure to stable (218 ± 9) or variable (911 ± 31) diel pCO2 amplitude (μtam) in aquaria over eight weeks. This study measured: growth (net calcification, extension, CaCO3 density) and physiology (dark respiration, light-enhanced dark respiration, host soluble protein, mycosporine-like amino acids, net photosynthesis, photosynthetic efficiency, endosymbiont density, chlorophyll a concentration, intracellular pH) of P. damicornis across treatment and origin. See all datasets related to this publication (https://www.bco-dmo.org/related-resource/885684). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/885669
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1923743
    Keywords: ocean acidification ; coral reefs ; acclimatization ; environmental variability ; extreme environments
    Repository Name: Woods Hole Open Access Server
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  • 34
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    Symbiont psbA and ORF host sequences generated as part of a study of pCO2 variability on the reef-building coral Pocillopora damicornis conducted at Heron Island Research Station, Heron Island, southern Great Barrier Reef in 2021 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-18
    Description: Dataset: Sequences for symbiont psbA and ORF host sequences
    Description: This dataset contains symbiont psbA and ORF host sequences and accession information at the National Center for Biotechnology Information (NCBI)'s Genbank database. These data were collected as part of a study of pCO2 variability on the reef-building coral Pocillopora damicornis conducted at Heron Island Research Station, Heron Island, southern Great Barrier Reef in 2021 (Brown et al., 2022). Abstract for all data from the study (Brown et al., 2022) including this dataset: Ocean acidification is a growing threat to coral growth and the accretion of coral reef ecosystems. Corals inhabiting environments that already endure extreme diel pCO2 fluctuations, however, may represent acidification resilient populations capable of persisting on future reefs. Here, we examined the impact of pCO2 variability on the reef-building coral Pocillopora damicornis originating from reefs with contrasting environmental histories (variable reef flat vs. stable reef slope) following reciprocal exposure to stable (218 ± 9) or variable (911 ± 31) diel pCO2 amplitude (μtam) in aquaria over eight weeks. This study measured: growth (net calcification, extension, CaCO3 density) and physiology (dark respiration, light-enhanced dark respiration, host soluble protein, mycosporine-like amino acids, net photosynthesis, photosynthetic efficiency, endosymbiont density, chlorophyll a concentration, intracellular pH) of P. damicornis across treatment and origin. See all datasets related to this publication (https://www.bco-dmo.org/related-resource/885684). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/885679
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1923743
    Keywords: ocean acidification ; coral reefs ; acclimatization ; environmental variability ; extreme environments
    Repository Name: Woods Hole Open Access Server
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    Coral physiology and intracellular pH (pHi) collected as part of a study of pCO2 variability on the reef-building coral Pocillopora damicornis conducted at Heron Island Research Station, Heron Island, southern Great Barrier Reef in 2021 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-18
    Description: Dataset: Growth and physiology of Pocillopora damicornis: coral physiology
    Description: This dataset contains coral physiology and intracellular pH (pHi) data collected as part of a study of pCO2 variability on the reef-building coral Pocillopora damicornis conducted at Heron Island Research Station, Heron Island, southern Great Barrier Reef in 2021 (Brown et al., 2022). Abstract for all data from the study (Brown et al., 2022) including this dataset: Ocean acidification is a growing threat to coral growth and the accretion of coral reef ecosystems. Corals inhabiting environments that already endure extreme diel pCO2 fluctuations, however, may represent acidification resilient populations capable of persisting on future reefs. Here, we examined the impact of pCO2 variability on the reef-building coral Pocillopora damicornis originating from reefs with contrasting environmental histories (variable reef flat vs. stable reef slope) following reciprocal exposure to stable (218 ± 9) or variable (911 ± 31) diel pCO2 amplitude (μtam) in aquaria over eight weeks. This study measured: growth (net calcification, extension, CaCO3 density) and physiology (dark respiration, light-enhanced dark respiration, host soluble protein, mycosporine-like amino acids, net photosynthesis, photosynthetic efficiency, endosymbiont density, chlorophyll a concentration, intracellular pH) of P. damicornis across treatment and origin. See all datasets related to this publication (https://www.bco-dmo.org/related-resource/885684). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/885659
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1923743
    Keywords: ocean acidification ; coral reefs ; acclimatization ; environmental variability ; extreme environments
    Repository Name: Woods Hole Open Access Server
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  • 36
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    Experimental and in situ seawater temperature data collected as part of a study of pCO2 variability on the reef-building coral Pocillopora damicornis conducted at Heron Island Research Station, Heron Island, southern Great Barrier Reef in 2021 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-18
    Description: Dataset: In-field and experimental measurements of environmental conditions: temperature
    Description: This dataset contains experimental and in situ seawater temperature data collected as part of a study of pCO2 variability on the reef-building coral Pocillopora damicornis conducted at Heron Island Research Station, Heron Island, southern Great Barrier Reef in 2021 (Brown et al., 2022). Abstract for all data from the study (Brown et al., 2022) including this dataset: Ocean acidification is a growing threat to coral growth and the accretion of coral reef ecosystems. Corals inhabiting environments that already endure extreme diel pCO2 fluctuations, however, may represent acidification resilient populations capable of persisting on future reefs. Here, we examined the impact of pCO2 variability on the reef-building coral Pocillopora damicornis originating from reefs with contrasting environmental histories (variable reef flat vs. stable reef slope) following reciprocal exposure to stable (218 ± 9) or variable (911 ± 31) diel pCO2 amplitude (μtam) in aquaria over eight weeks. This study measured: growth (net calcification, extension, CaCO3 density) and physiology (dark respiration, light-enhanced dark respiration, host soluble protein, mycosporine-like amino acids, net photosynthesis, photosynthetic efficiency, endosymbiont density, chlorophyll a concentration, intracellular pH) of P. damicornis across treatment and origin. See all datasets related to this publication (https://www.bco-dmo.org/related-resource/885684). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/885654
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1923743
    Keywords: ocean acidification ; coral reefs ; acclimatization ; environmental variability ; extreme environments
    Repository Name: Woods Hole Open Access Server
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  • 37
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    Intracellular pH (pHi) data collected as part of a study of pCO2 variability on the reef-building coral Pocillopora damicornis conducted at Heron Island Research Station, Heron Island, southern Great Barrier Reef in 2021 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-18
    Description: Dataset: Growth and physiology of Pocillopora damicornis: pHi
    Description: This dataset contains intracellular pH (pHi) data. These data were published in Brown et al. (2022). Abstract for all data from the study (Brown et al., 2022) including this dataset: Ocean acidification is a growing threat to coral growth and the accretion of coral reef ecosystems. Corals inhabiting environments that already endure extreme diel pCO2 fluctuations, however, may represent acidification resilient populations capable of persisting on future reefs. Here, we examined the impact of pCO2 variability on the reef-building coral Pocillopora damicornis originating from reefs with contrasting environmental histories (variable reef flat vs. stable reef slope) following reciprocal exposure to stable (218 ± 9) or variable (911 ± 31) diel pCO2 amplitude (μtam) in aquaria over eight weeks. This study measured: growth (net calcification, extension, CaCO3 density) and physiology (dark respiration, light-enhanced dark respiration, host soluble protein, mycosporine-like amino acids, net photosynthesis, photosynthetic efficiency, endosymbiont density, chlorophyll a concentration, intracellular pH) of P. damicornis across treatment and origin. See all datasets related to this publication (https://www.bco-dmo.org/related-resource/885684). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/885646
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1923743
    Keywords: ocean acidification ; coral reefs ; acclimatization ; environmental variability ; extreme environments
    Repository Name: Woods Hole Open Access Server
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  • 38
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    Net calcification of coral fragments collected as part of a study of pCO2 variability on the reef-building coral Pocillopora damicornis conducted at Heron Island Research Station, Heron Island, southern Great Barrier Reef in 2021 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-18
    Description: Dataset: Growth and physiology of Pocillopora damicornis: calcification
    Description: This dataset contains the overall change in net calcification of the coral fragments (% change in buoyant weight per day). These data were collected as part of a study of pCO2 variability on the reef-building coral Pocillopora damicornis conducted at Heron Island Research Station, Heron Island, southern Great Barrier Reef in 2021 (Brown et al., 2022). Abstract for all data from the study (Brown et al., 2022) including this dataset: Ocean acidification is a growing threat to coral growth and the accretion of coral reef ecosystems. Corals inhabiting environments that already endure extreme diel pCO2 fluctuations, however, may represent acidification resilient populations capable of persisting on future reefs. Here, we examined the impact of pCO2 variability on the reef-building coral Pocillopora damicornis originating from reefs with contrasting environmental histories (variable reef flat vs. stable reef slope) following reciprocal exposure to stable (218 ± 9) or variable (911 ± 31) diel pCO2 amplitude (μtam) in aquaria over eight weeks. This study measured: growth (net calcification, extension, CaCO3 density) and physiology (dark respiration, light-enhanced dark respiration, host soluble protein, mycosporine-like amino acids, net photosynthesis, photosynthetic efficiency, endosymbiont density, chlorophyll a concentration, intracellular pH) of P. damicornis across treatment and origin. See all datasets related to this publication (https://www.bco-dmo.org/related-resource/885684). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/885664
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1923743
    Keywords: ocean acidification ; coral reefs ; acclimatization ; environmental variability ; extreme environments
    Repository Name: Woods Hole Open Access Server
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    Nucleotide sequences of CsRV1 virus amplified from blue crabs (Callinectes sapidus) from coastal waters and estuaries in North and South America, including the Caribbean and Gulf of Mexico from 2006 to 2020 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-08
    Description: Dataset: CsRV1 virus genotypes across the Atlantic coast of N and S America
    Description: This record contains nucleotide sequences of CsRV1 virus amplified from blue crabs (Callinectes sapidus) across the study region. RNA from crabs identified as infected using a sensitive Rt-qPCR assay was amplified using primers specific to segment and segment 9 of the virus genome. A subset of CsRV1-positive RNA preparations were amplified using a full-genome amplification set of primers to amplify the entire CsRV1 genome. (http://primal.zibraproject.org; Quick et al. 2017). The segment-specific data: seg9 (960 nt amplicon) and seg8 (807 nt amplicon) were trimmed and used to create maximum likelihood trees. Similarly, the full genome sequences were used for a maximum likelihood tree. In total, 22 complete or near-complete genomes, 42 seg8 ORF sequences, and 96 seg9 ORF sequences of CsRV1 were collected from 15 geographic locations along the US Atlantic coast, Gulf of Mexico, Caribbean Sea and S. America between 2006 – 2021. Sequence generation and tree building was accomplished by Mingli Zhao with input from coauthors Plough and Kough. Pairwise analyses and ML trees can be found in the Supplemental Materials of results publication Zhao et al. (2023). The sequences generated in this study are deposited in NCBI GenBank, with accession numbers OP067244-OP067635 and are accessible under BioProject PRJNA939818. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/890835
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1658466, NSF Division of Ocean Sciences (NSF OCE) OCE-1658396, NSF Division of Ocean Sciences (NSF OCE) OCE-1658389
    Keywords: phylgenomics ; crab virus ; connectivity
    Repository Name: Woods Hole Open Access Server
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  • 40
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    Coccolithophore counts from polarized microscopy birefringence measurements of samples collected in the Northwest Atlantic during R/V Endeavor cruise EN616 in July 2018 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-08
    Description: Dataset: Coccolithophore birefringence from polarized microscopy
    Description: This dataset presents polarized microscopy-derived concentration data for coccolithophores and detached coccoliths in samples collected from stations in the Northwest Atlantic during R/V Endeavor cruise EN616 in July 2018. Counts are based on image analysis of dark-field, cross-polarized views of filtered particulate matter. These counts take advantage of the birefringence property of calcium carbonate (particulate inorganic carbon) that it rotates the plane of linearly polarized incident light by 90 degrees. Incident light directed upwards, towards the microscope slide, is polarized 90 degrees with a linear polarizer. Particles are viewed from above the slide, through a second, linear polarizer filter held between the microscope stage and the camera which only accepts light that is polarized orthogonal to the lower polarizer. Calcium carbonate particles in the beam appear as bright dots of light. Image analysis software then analyzes the pattern of birefringence and enumerates only those particles with size and shape of coccolithophores or detached coccoliths. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/887863
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1635748
    Keywords: Coccolithophore ; birefringence ; polarized microscopy ; phytoplankton enumeration ; coccoliths
    Repository Name: Woods Hole Open Access Server
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    Sponge Density, Morphology, and Assemblages from repeated surveys in St. Thomas, U.S. Virgin Islands, before and after the 2017 hurricane season (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-08
    Description: Dataset: Sponge Density, Morphology, and Assemblages
    Description: Prior to the 2017 hurricanes, six shallow (8-15 meter depth) reef sites had been selected from the Virgin Islands Territorial Coral Reef Monitoring Program’s (TCRMP) permanent monitoring sites to study variation in sponge communities- Black Point (BP), Coculus Rock (CR), and Magens Bay (MB), which are in embayments with heavily developed watersheds. Buck Island (BI) and Savana Island (SI) are located near undeveloped offshore cays. Botany Bay (BB) is a nearshore site in a bay with a low level of watershed development. This dataset represents sponge density, morphology, and assemblages from these repeated surveys before and after the 2017 hurricane season. We used three randomly selected transects out of the six permanently established 10-meter TCRMP transects at each site. The same three transects at each site were re-surveyed repeatedly in August 2016 (pre-hurricanes), December 2017 (10 weeks post-hurricanes), March 2018 (24 weeks post-hurricanes), November 2018 (61 weeks post-hurricanes), and July 2019 (93 weeks post-hurricanes). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/890333
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1807807
    Description: 2024-01-01
    Keywords: sponges ; hurricanes ; coral reef diversity ; storm recovery ; resilience
    Repository Name: Woods Hole Open Access Server
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    Sponge volume from repeated surveys in St. Thomas, U.S. Virgin Islands, before and after the 2017 hurricane season (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-08
    Description: Dataset: Post-hurricane Sponge Volume
    Description: Prior to the 2017 hurricanes, six shallow (8-15 meter depth) reef sites had been selected from the Virgin Islands Territorial Coral Reef Monitoring Program’s (TCRMP) permanent monitoring sites to study variation in sponge communities - Black Point (BP), Coculus Rock (CR), and Magens Bay (MB), which are in embayments with heavily developed watersheds. Buck Island (BI) and Savana Island (SI) are located near undeveloped offshore cays. Botany Bay (BB) is a nearshore site in a bay with a low level of watershed development. This dataset represents sponge volume from these repeated surveys before and after the 2017 hurricane season. We used three randomly selected transects out of the six permanently established 10-meter TCRMP transects at each site. The same three transects at each site were re-surveyed repeatedly in August 2016 (pre-hurricanes), December 2017 (10 weeks post-hurricanes), March 2018 (24 weeks post-hurricanes), November 2018 (61 weeks post-hurricanes), and July 2019 (93 weeks post-hurricanes). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/889972
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1807807
    Description: 2024-01-01
    Keywords: sponges ; hurricanes ; coral reef diversity ; storm recovery ; resilience
    Repository Name: Woods Hole Open Access Server
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  • 43
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    Raw cover of sponges from repeated surveys in St. Thomas, U.S. Virgin Islands, before and after the 2017 hurricane season (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-08
    Description: Dataset: Raw Cover
    Description: Prior to the 2017 hurricanes, six shallow (8-15 meter depth) reef sites had been selected from the Virgin Islands Territorial Coral Reef Monitoring Program’s (TCRMP) permanent monitoring sites to study variation in sponge communities- Black Point (BP), Coculus Rock (CR), and Magens Bay (MB), which are in embayments with heavily developed watersheds. Buck Island (BI) and Savana Island (SI) are located near undeveloped offshore cays. Botany Bay (BB) is a nearshore site in a bay with a low level of watershed development. This dataset represents sponge cover from repeated surveys before and after the 2017 hurricane season. We used three randomly selected transects out of the six permanently established 10-meter TCRMP transects at each site. The same three transects at each site were re-surveyed repeatedly in August 2016 (pre-hurricanes), December 2017 (10 weeks post-hurricanes), March 2018 (24 weeks post-hurricanes), November 2018 (61 weeks post-hurricanes), and July 2019 (93 weeks post-hurricanes). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/890324
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1807807
    Description: 2024-01-01
    Keywords: sponges ; hurricanes ; coral reef diversity ; storm recovery ; resilience
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    Biogeochemistry, metabolomics, and metagenomics of Florida's Coral Reef from sampling conducted over 15 days in June 2019 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-08
    Description: Dataset: Reef biogeochemistry, metabolomics, and metagenomics
    Description: This comparative 'omics dataset was collected over 15 days in June 2019 along Florida's Coral Reef. We assessed 85 reefs for the prevalence of stony coral tissue loss disease (SCTLD), nutrients (total organic carbon (TOC), total organic nitrogen (TON), inorganic nutrients), and abundances of microbial functional groups (Prochlorococcus, Synechococcus, picoeukaryotes, and heterotrophic microbes (unpigmented bacteria and archaea)), from reef depth waters. At 45 of the reefs, high-resolution photomosaics were used to examine the composition of benthic organisms. At 13 geographically dispersed reefs, we collected seawater (1.7 liters in biological triplicates) for both targeted and untargeted metabolomics analyses. Seawater (2 liters in duplicate) was collected at 26 sites, including the 13 examined for metabolomics, for taxonomic (bacteria and archaea 16S ribosomal RNA gene) and functional (shotgun metagenome) microbiome analyses, and chlorophyll. Given the stony coral tissue loss disease outbreak, we also targeted healthy and diseased coral tissue and near-coral seawater for taxonomic microbiome (16S rRNA gene) analysis (11 sites). Significance: Microorganisms and the dissolved metabolites they process are central to the functioning of ocean ecosystems. These 'invisible' ocean components are poorly understood in biodiverse and productive coral reef ecosystems, where they contribute to nutrient cycling and signaling cues between reef organisms. Microbes and dissolved metabolites offer a new means to examine reef features and have applications for conservation, monitoring, and restoration efforts in these changing ecosystems. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/890979
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736288
    Keywords: coral reefs ; metabolomics ; metagenomics ; microbial ecology
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  • 45
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    Hydrography and environmental conditions measured with CTD at nine stations during R/V Endeavor cruise EN616 in July 2018 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    Description: Dataset: EN616 CTD hydrography
    Description: Hydrography and environmental conditions were measured with CTD at nine stations during R/V Endeavor cruise EN616 in July 2018. The stations ranged from the New England Continental Shelf, New England Continental Slope, to the Sargasso Sea ocean regions. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/887800
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1635748
    Keywords: CTD ; beam attenuation ; chlorophyll fluorescence ; dissolved oxygen
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  • 46
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    Ambient concentrations of acetate, glycerol, and mannitol measured from samples collected during R/V Endeavor cruise EN616 in the northwest Atlantic in July 2018 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    Description: Dataset: Data for ambient concentrations of three DOC compounds (acetate, glycerol, mannitol)
    Description: This data set provides ambient concentrations of three dissolved organic compound (acetate, glycerol and mannitol) measured from water samples taken during R/V Endeavor cruise EN616 in the northwest Atlantic in July 2018. These concentrations were derived using new analytical methods described in the below-referenced Science Advances manuscript by Balch et al. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/887851
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1635748
    Keywords: glycerol ; mannitol ; acetate ; DOC uptake ; Dissolved Organic Carbon
    Repository Name: Woods Hole Open Access Server
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  • 47
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    Moored time-series records for temperature collected from the LB1 Mooring, R/V Savannah (LB-2012-LB1, SAV-12-02) in the South Atlantic Bight (SAB) continental shelf off Long Bay during 2012 (Long Bay Wintertime Bloom project) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    Description: Dataset: LB_2012_LB1_tchain
    Description: Moored time-series records of temperature measured every 5 minutes (300sec) by 25 Onset HOBO Water Temperature Data Loggers mounted on a tautline mooring. Collected from the LB1 Mooring, R/V Savannah (LB-2012-LB1, SAV-12-02) in the South Atlantic Bight continental shelf off Long Bay during 2012. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/639382
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1032285, NSF Division of Ocean Sciences (NSF OCE) OCE-1032276
    Repository Name: Woods Hole Open Access Server
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  • 48
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    Dissolved lead (Pb) along the US GEOTRACES East Pacific Zonal Transect from the R/V Thomas G. Thompson TN303 cruise in the Eastern Tropical Pacific, Peru to Tahiti during 2013 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    Description: Dataset: GP16 Lead dissolved
    Description: Dissolved lead (Pb) along the US GEOTRACES East Pacific Zonal Transect from the R/V Thomas G. Thompson TN303 cruise in the Eastern Tropical Pacific, Peru to Tahiti during 2013. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/646842
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1234213
    Repository Name: Woods Hole Open Access Server
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  • 49
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    Benthic invertebrate taxonomy, species and codes - St. John USVI survey 1988-2007 (St. John LTREB project) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    Description: Dataset: benthic invert codes
    Description: For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/523731
    Description: NSF Division of Environmental Biology (NSF DEB) DEB-0841441, NSF Division of Environmental Biology (NSF DEB) DEB-0343570
    Repository Name: Woods Hole Open Access Server
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  • 50
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    Spectral absorption coefficients of phytoplankton along US GEOTRACES North Atlantic Transect from the R/V Knorr KN199-04 cruise in the subtropical N. Atlantic in 2010 (U.S. GEOTRACES NAT project) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    Description: Dataset: GT10 - Spctrl_Absp
    Description: Spectral absorption coefficients of phytoplankton along US GEOTRACES North Atlantic Transect from the R/V Knorr KN199-04 cruise in the subtropical N. Atlantic in 2010. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/3867
    Description: National Aeronautics & Space Administration (NASA) NNX09AN94G
    Repository Name: Woods Hole Open Access Server
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  • 51
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    Octocorals, scleractinia, macroalgae surveys describing species abundance and distribution on St. John and St. Thomas, USVI in 2011 (St. John LTREB project, VI Octocorals project) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    Description: Dataset: octocoral - sp. abundance and distribution
    Description: Octocorals, scleractinia, macroalgae surveys describing species abundance and distribution on St. John and St. Thomas, USVI in 2011 (St. John LTREB project, VI Octocorals project) For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/630404
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1332915, NSF Division of Ocean Sciences (NSF OCE) OCE-1334052, NSF Division of Environmental Biology (NSF DEB) DEB-1350146
    Repository Name: Woods Hole Open Access Server
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  • 52
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    Concentrations of dissolved cadmium, nickel, manganese, lanthanum, cerium, praseodymium, and neodymium from the Eastern Tropical North Pacific Ocean on R/V Revelle cruise RR1804-1805 (OMZ Nutrient Cycling project) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    Description: Dataset: ETNP dissolved Cd, Ni, Mn, and light rare earth elements (La, Ce, Pr, and Nd)
    Description: Oxygen deficient zones (ODZs) play an important role in the distribution and cycling of trace metals in the ocean, as important sources of metals including Fe and Mn to the ocean, and also as possible sinks of chalcophile elements such as Cd. The Eastern Tropical North Pacific (ETNP) ODZ is one of the three largest ODZs worldwide. Here we present results from two sectional surveys through the ETNP ODZ (23N-14N, 105W-130W) conducted during two cruises of the R/V Roger Revelle, RR1804 and RR1805, from March to April 2018, providing a high-resolution concentrations of dissolved Cd, Ni, Mn, La, Ce, Pr, and Nd in seawater. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/872434
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1636332
    Repository Name: Woods Hole Open Access Server
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  • 53
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    Benthic invertebrates from Tektite site, USVI: 1988-2007 (St. John LTREB project) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    Description: Dataset: inverts - Tektite and Yawzi Pt
    Description: Benthic invertebrates from Tektite site, USVI: 1988-2007. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/523747
    Description: NSF Division of Environmental Biology (NSF DEB) DEB-0841441, NSF Division of Environmental Biology (NSF DEB) DEB-0343570
    Repository Name: Woods Hole Open Access Server
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  • 54
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    Metadata associated with genomic and genetic data collected from organisms obtained on BOWLs landers, R/V Oceanus June 22-27, 2014 (BOWLS project) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    Description: Dataset: BOWLS sample log
    Description: Metadata associated with genomic and genetic data collected from organisms obtained on BOWLs landers, R/V Oceanus June 22-27, 2014. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/662996
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1155188
    Repository Name: Woods Hole Open Access Server
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  • 55
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    FlowCAM enumeration of phytoplankton classes from samples taken during R/V Endeavor cruise EN616 in July 2018 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    Description: Dataset: FlowCAM imaging cytometer data from EN616 cruise
    Description: This dataset presents imaging cytometer data from water samples collected during R/V Endeavor cruise EN616. Niskin bottle samples were taken at nine stations and eight depths in the northwest Atlantic in July 2018. A Yokogawa FlowCAM imaging cytometer was used to enumerate the major microalgal classes, and the particle size distribution function was estimated. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/887787
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1635748
    Keywords: phytoplankton enumeration ; FlowCAM ; phytoplankton biomass ; particle size distribution function
    Repository Name: Woods Hole Open Access Server
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  • 56
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    Solar irradiance in Delaware Estuary from the R/V Hugh R. Sharp HRS111107DK, HRS120809DK, HRS121112DK, HRS1313, HRS1324 in 2011 - 2013 (PAPI: Photochemistry and Photoheterotroph Interactions project) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    Description: Dataset: Delaware estuary solar irradiance
    Description: This data set is a compilation of solar irradiance data that were collected during the PAPI cruises 1 through 6 in the Delaware Estuary from Aug. 2009 to Nov. 2013. Data were obtained to support photobiological and photochemical experiments. (PAPI: Photochemistry and Photoheterotroph Interactions project) For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/551609
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1029569, NSF Division of Ocean Sciences (NSF OCE) OCE-1030306
    Repository Name: Woods Hole Open Access Server
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  • 57
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    Southern Ocean nutrients from CTD bottles from ARSV Laurence M. Gould LMG0104, LMG0106, LMG0203, LMG0205 in the Southern Ocean from 2001-2002 (SOGLOBEC project) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    Description: Dataset: nutrients_LMG
    Description: Nitrate, nitrite, phosphate, ammonia, and silica were measured from selected niskin bottle tripped from hydrocasts on RV\LMGould cruises from 2001 and 2002 in the Southern Ocean. Water samples were not taken on all casts. All concentrations are reported in micromoles per liter. For 2002 cruises, the oxygen is also reported. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/3208
    Description: NSF Antarctic Sciences (NSF ANT) unknown SOGLOBEC NSF ANT
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  • 58
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    Composition of marine invertebrate communities across latitude with exposure to predation (Competition and Predation across Latitude) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    Description: Dataset: Composition of marine invertebrate communities across latitude with exposure to predation
    Description: Composition of sessile marine invertebrates from coastal sites across a latitudinal gradient spanning the subarctic to the tropics. Invertebrate communities developed under low predation for three or 12 months within cages and then underwent exposure to predation or were re-caged as controls. This experiment provided an assessment of predation impact on mature communities to complement predator exclusion experiments that measured impact of predators on prey community assembly. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/862068
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1434528
    Keywords: marine invertebrate ; predation ; latitude ; Marine invasion ; fish
    Repository Name: Woods Hole Open Access Server
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  • 59
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    Benthic invertebrates from 6 sites pooled, USVI: 1992-2007 (St. John LTREB project) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    Description: Dataset: inverts - pooled
    Description: Benthic invertebrates from 6 sites pooled, USVI: 1992-2007. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/525499
    Description: NSF Division of Environmental Biology (NSF DEB) DEB-0841441, NSF Division of Environmental Biology (NSF DEB) DEB-0343570
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  • 60
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    Cruise Event Logs from 15 vessels for 116 U.S. GLOBEC cruises from 1997-2004 in the Northeast Pacific and Gulf of Alaska areas (NEP program) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    Description: Dataset: eventlogs
    Description: Cruise Event Logs from 15 vessels for 116 U.S. GLOBEC cruises from 1997-2004 in the Northeast Pacific and Gulf of Alaska areas For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/2341
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0000733, NSF Division of Ocean Sciences (NSF OCE) OCE-9732386, National Oceanic and Atmospheric Administration (NOAA) NA67RJ0151 (NEP), National Oceanic and Atmospheric Administration (NOAA) NA86OP0589 (NEP)
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  • 61
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    Calcification rates of Acropora pulchra under two pCO2 levels and two temperatures sampled during experiments at Richard B Gump Research Station, Moorea, French Polynesia in July of 2015 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-10
    Description: Dataset: Shaw 2016: Acropora pulchra calcification experiment 1
    Description: This dataset includes calcification rates of the coral Acropora pulchra during an experiment that took place July of 2015 conducted at the Richard B Gump Research Station, Moorea, French Polynesia. Four treatments were used to test calcification rates at approximated ambient and elevated CO2 and temperature levels. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/684581
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1415300, NSF Division of Ocean Sciences (NSF OCE) OCE-1415268
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  • 62
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    Calcification rates of Acropora pulchra in ambient and elevated temperature and pCO2 conditions sampled during experiments at Richard B Gump Research Station, Moorea, French Polynesia from Oct to Nov of 2015 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-10
    Description: Dataset: Shaw 2016: Acropora pulchra calcification experiment 2
    Description: This dataset includes calcification rates of the coral Acropora pulchra during two 21-day experimental treatments from October to November of 2015 conducted at the Richard B Gump Research Station, Moorea, French Polynesia. The first 21-day treatment was conducted using approximated ambient conditions, and the second "high" treatment conditions had elevated temperature and pCO2 levels. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/684594
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1415300, NSF Division of Ocean Sciences (NSF OCE) OCE-1415268
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  • 63
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    Carbonate chemistry sampled during Acropora pulchra calcification experiments that took place in Moorea, French Polynesia from Jul to Nov of 2015 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-10
    Description: Dataset: Shaw 2016: carbonate chemistry
    Description: Carbonate chemistry was measured during two experiments that tested calcification rates of Acropora pulchra under approximated ambient and elevated temperature and pCO2 levels. The experiments took place between July and December of 2015 at the Richard B Gump Research Station, Moorea, French Polynesia. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/684605
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1415300, NSF Division of Ocean Sciences (NSF OCE) OCE-1415268
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  • 64
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    Single cell mass spectroscopy data collected to investigate metabolomics affected by cell-cell interactions in 2020 and 2021 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-11
    Description: Dataset: Single cell mass spec Cell-Cell interaction
    Description: Single-cell mass spectrometry (SCMS) was integrated with fluorescence microscopy to investigate metabolomics affected by cell-cell interactions in 2020 and 2021. These data were used to create a table in the publication of the results by Chen et al. (2022). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/890877
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1634630
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  • 65
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    Temperature loggers (HOBO) placed in two locations off the coast of the West coast of Leyte, the Philippines , 2012-2019. (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-11
    Description: Dataset: Temperature Loggers
    Description: Temperature loggers (HOBO) placed in two locations (HOBO1: 10.74373, 124.78668, HOBO2: 10.74364, 124.78665) off the coast of the West coast of Leyte, the Philippines , 2012-2019. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/862415
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1430218
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  • 66
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    Echosounder data from goliath grouper aggregations in Jupiter, FL from August 31 until November 30, 2020. (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-27
    Description: Dataset: Hydroacoustic Survey Data 2020
    Description: Echosounder data from goliath grouper aggregations in Jupiter, FL from August 31 until November 30, 2020. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/858599
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2006293, NSF Division of Ocean Sciences (NSF OCE) OCE-2006295
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  • 67
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    Current Velocity data from an artificial reef in Jupiter, FL acquired with an ADCP from July 18 until December 4, 2020. (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-27
    Description: Dataset: Current Velocity Artificial Reef Jupiter 2020
    Description: Current Velocity data from an artificial reef in Jupiter, FL acquired with an ADCP from July 18 until December 4, 2020 For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/864372
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2006293, NSF Division of Ocean Sciences (NSF OCE) OCE-2006295
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  • 68
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    Wave height data from an artificial reef in Jupiter, FL acquired with an ADCP from July 18 August 19, 2020. (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-27
    Description: Dataset: Wave Height Artificial Reef Jupiter 2020
    Description: Wave height data from an artificial reef in Jupiter, FL acquired with an ADCP from July 18 August 19, 2020. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/858542
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2006293, NSF Division of Ocean Sciences (NSF OCE) OCE-2006295
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  • 69
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    Optimally Interpolated O2 anomalies based on World Ocean Database 2018 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-27
    Description: Dataset: OIO2-WOD2018
    Description: OIO2 is a gridded data product of dissolved oxygen interpolated from shipboard observations archived in the World Ocean Database 2018 (WOD18). The quality-controlled WOD18 data are averaged for each bin at 1°x1° and monthly resolution where mean, variance, and sample size are recorded from 1965 to 2014 for the bottle data, and from 1987 to 2014 for the CTD-O2 data. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/886218
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2123546
    Keywords: deoxygenation ; oxygen ; climate change
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  • 70
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    Geochemical measurements of porewater from sediment push core samples in the Gulf of California during R/V Falkor cruise FK190211 in 2019 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-07
    Description: Dataset: FK190211 Sediment Geochemistry
    Description: Geochemical measurements of porewater from sediment push core samples in the Gulf of California during R/V Falkor cruise FK190211 in 2019 For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/821665
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1357360
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  • 71
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    Physiology color score extracted from pictures taken during a thermal stress experiment using reef building corals collected in Kāne'ohe Bay, O'ahu, Hawai'i. (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-07
    Description: Dataset: Thermal Stress Experiment: Color Score Physiology
    Description: Understanding the response of the coral holobiont to environmental change is crucial to inform conservation efforts. The most pressing problem is “coral bleaching,” usually precipitated by prolonged thermal stress. This dataset spans a five week thermal stress experiment in which images were taken of coral individuals and analyzed for a "color score". For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/884220
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756623
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  • 72
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    NetCDF model output of 4 circum-Antartic model simulations covering the Antarctic Continental Shelf from ADD TIME (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-07
    Description: Dataset: Circum-Antartic Model: four simulation outputs
    Description: NetCDF model output of 4 circum-Antartic model simulations covering the Antarctic Continental Shelf from ADD TIME For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/887777
    Description: NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1643652, NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1643618
    Keywords: Antarctica ; circulation model ; ice shelf melt ; dissolved Iron
    Repository Name: Woods Hole Open Access Server
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  • 73
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    Dissolved and total water column 210Po and 210Pb from samples collected on Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from October to November 2018 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-07
    Description: Dataset: GP15 Water Column 210Po and 210Pb - Dissolved and Total - Leg 2
    Description: This project is part of the international GEOTRACES program, which was created to allow a comprehensive, coordinated study of trace elements and isotopes (TEIs) in the oceans. This project uses the radionuclide pair 210Pb and its grand-daughter, 210Po, to provide important biogeochemical rate information pertinent to the trace elements and isotopes (TEIs) measured during the US GEOTRACES Meridional Transect in the Pacific from Alaska to Tahiti in late 2018. Many processes in the ocean cannot be directly observed and, as such, tracers such as 210Po and 210Pb can be used to provide important constraints on their rates and pathways. 210Po (half-life = 138 d) and 210Pb (half-life = 22.3 y) decay on timescales that are useful to study 1) atmospheric deposition of trace elements, 2) scavenging of particle-reactive trace elements, 3) export of particulate organic carbon (POC) from the photic zone, and 4) the fate of hydrothermal plumes dispersed from the mid-ocean ridge system. The present data set primarily includes measurements of 210Po and 210Pb on filtered water samples (i.e., "dissolved" activities) collected with CTD casts. Surface water samples were collected separately and were unfiltered, so represent "total" activities. Particulate samples also were collected using in situ pumps and those data are reported separately. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/883797
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736591, NSF Division of Ocean Sciences (NSF OCE) OCE-1736612
    Description: 2023-06-30
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  • 74
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    Geochemical measurements of CTD and Alvin Niskin samples collected in the Gulf of California during R/V Falkor cruise FK190211 in 2019 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-07
    Description: Dataset: FK190211 water col geochem
    Description: For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/821645
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1357360
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  • 75
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    Physiology color score extracted from pictures taken during a heatwave experiment done September to November 2018 using reef building corals collected in Kāne'ohe Bay, O'ahu, Hawai'i. (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-07
    Description: Dataset: Heatwave Experiment: Color Score Physiology
    Description: Two common reef-building corals, Montipora capitata and Pocillopora acuta, were subjected to a extended heatwave scenario. Fragments were allowed to acclimate in experimental tanks for two weeks prior to exposure to one of the following four treatments: Ambient Temperature Ambient pCO2 (ATAC), Ambient Temperature High pCO2 (ATHC), High Temperature Ambient pCO2 (HTAC), and High Temperature High pCO2 (HTHC). The treatment period lasted for a two month period, starting on September 22nd, 2018 and lasting through November 17th, 2018. Following the stress period, coral fragments were exposed to a two-month recovery period in ambient conditions. Throughout the entire four-month experiment, photos of the coral individuals were taken to extract a "color score". This dataset contains the processed data to calculate "color score" values. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/884208
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756623
    Repository Name: Woods Hole Open Access Server
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  • 76
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    Dissolved iron speciation results from 2019 Bermuda Atlantic Iron Time-series (BAIT) cruises EN631, AE1909, AE1921, AE1930 in the Western Subtropical North Atlantic Gyre from March to November 2019 (BAIT Project) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-03
    Description: Dataset: 2019 BAIT Dissolved Iron Speciation
    Description: Dissolved iron-binding organic ligand concentrations and conditional stability constants from GO-FLO water column samples collected in 2019 during four Bermuda Atlantic Iron Time-serires (BAIT) cruises in the Bermuda Atlantic Time-series Study (BATS) region. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/869081
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829777
    Keywords: iron speciation ; iron ; CLE-AdCSV ; organic ligands ; voltammetry ; BATS
    Repository Name: Woods Hole Open Access Server
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  • 77
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    Standard length measurements of a representative subset of northern anchovy (Engraulis mordax) and Stenobrachius leucopsarus collected with MOCNESS during winter and summer sampling in 2019 aboard R/V Sikuliaq, R/V Sally Ride and R/V Atlantis (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-13
    Description: Dataset: Length measurements
    Description: Standard length measurements of a representative subset of northern anchovy (Engraulis mordax) and Stenobrachius leucopsarus collected with MOCNESS during winter and summer sampling in 2019 aboard R/V Sikuliaq, R/V Sally Ride and R/V Atlantis For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/867668
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737399, NSF Division of Ocean Sciences (NSF OCE) OCE-1737364
    Keywords: ichthyoplankton ; Northern California Current ; zooplankton
    Repository Name: Woods Hole Open Access Server
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  • 78
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    Larval fish identifications and concentration (individuals per 1000m3) estimates for all day samples. (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-13
    Description: Dataset: Larval fish identifications and concentrations
    Description: Larval fish identifications and concentration (individuals per 1000m3) estimates for all day samples. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/888753
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737399, NSF Division of Ocean Sciences (NSF OCE) OCE-1737364
    Keywords: ichthyoplankton ; Northern California Current ; zooplankton
    Repository Name: Woods Hole Open Access Server
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  • 79
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    Radiocarbon dating of archived sediment cores in the Southeast Pacific from 1960 to 2000 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-17
    Description: Dataset: Radiocarbon dating of Southeast Pacific sediment cores
    Description: There were likely large changes in Southeast (SE) Pacific Ocean biogeochemistry over the last glacial cycle as a consequence of coincident changes in dust flux, oxygenation, and latitudinal position of the Subantarctic and Antarctic Fronts. However, there are few available sediment core records with reliable chronologies for this time interval despite the large number of archived cores collected between the 1960s and 1990s. The apparent reason is that, except for sites in proximity to the South American continental margin, sedimentation rates are often lower than 1 cm/kyr and calcium carbonate is only well preserved on topographic highs. As part of a project to study past nitrogen fixation, we surveyed archived cores from the SE Pacific and selected the most promising for radiocarbon dating of the planktonic foraminiferal fraction.  While many cores have core tops were found to be older than detectable with radiocarbon, a number have core tops ages within the Holocene and sediment accumulation rates centering on 1.5 cm/kyr.  For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/886679
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1602810
    Keywords: sediment push cores ; radiocarbon dating ; Southeast Pacific
    Repository Name: Woods Hole Open Access Server
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  • 80
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    Upper-pelagic particle numbers from imagery on the R/V Atlantic Explorer in the Sargasso Sea and from SCUBA in the Gulf of Trieste in July 2021 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-03
    Description: Dataset: Upper-pelagic particle numbers from imagery in the Sargasso Sea and in the Gulf of Trieste
    Description: This dataset represents Log10-particle numbers per volume versus log10-particle size bins at various threshold levels of the image analysis program taken between 4 and 7-meter depth in the Sargasso Sea and the Gulf of Trieste on July 18, 2021. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/884596
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2128438
    Keywords: particle numbers ; shadowgraph imaging ; aquatic gels
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  • 81
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    Carbonate chemistry data collected as part of a study of the "Community context and pCO2 impact the transcriptome of the "helper" bacterium Alteromonas in co-culture with picocyanobacteria" (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-03
    Description: Dataset: Carbonate chemistry
    Description: Carbonate chemistry data collected as part of a study of the "Community context and pCO2 impact the transcriptome of the "helper" bacterium Alteromonas in co-culture with picocyanobacteria" (Barreto Filho et al., 2022). The following results abstract describes these data along with related datasets which can be accessed from the "Related Datasets" section of this page. Many microbial photoautotrophs depend on heterotrophic bacteria for accomplishing essential functions. Environmental changes, however, could alter or eliminate such interactions. We investigated the effects of changing pCO2 on gene expression in co-cultures of 3 strains of picocyanobacteria (Synechococcus strains CC9311 and WH8102 and Prochlorococcus strain MIT9312) paired with the ‘helper’ bacterium Alteromonas macleodii EZ55. Co-culture with cyanobacteria resulted in a much higher number of up- and down-regulated genes in EZ55 than pCO2 by itself. Pathway analysis revealed significantly different expression of genes involved in carbohydrate metabolism, stress response, and chemotaxis, with different patterns of up- or down-regulation in co-culture with different cyanobacterial strains. Gene expression patterns of organic and inorganic nutrient transporter and catabolism genes in EZ55 suggested resources available in the culture media were altered under elevated (800 ppm) pCO2 conditions. Altogether, changing expression patterns were consistent with the possibility that the composition of cyanobacterial excretions changed under the two pCO2 regimes, causing extensive ecophysiological changes in both members of the co-cultures. Additionally, significant downregulation of oxidative stress genes inMIT9312/EZ55 cocultures at 800 ppm pCO2 were consistent with a link between the predicted reduced availability of photorespiratory byproducts (i.e., glycolate/2PG) under this condition and observed reductions in internal oxidative stress loads for EZ55, providing a possible explanation for the previously observed lack of “help” provided by EZ55 to MIT9312 under elevated pCO2. The data stored in this archive permit the recalculation of the pH measurements shown in Table 1 of the results publication Barreto Filho et al. (2022). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/883120
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1851085
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  • 82
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    Hydrothermal sediment temperature profiles sampled near Beggiatoa mats using Alivn's heatlow and temperature probes, deployed from R/V Atlantis cruises AT15-40, AT15-56 in the Guaymas Basin from 2008-2009 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-10
    Description: Dataset: Temperature Profiles AT15-40 and AT15-56
    Description: This dataset includes temperature profiles from hydrothermal sediments sampled near Beggiatoa mats using Alivn's heatlow and temperature probes, deployed from R/V Atlantis cruises AT15-40 and AT15-56 in the Guaymas Basin from 2008-2009. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/3676
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0647633
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  • 83
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    Bottle chemistry data from hydrothermal vents sampled by CTD rosette during R/V Atlantis cruise AT37-12 in April and May 2017 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-21
    Description: Dataset: Bottle chemistry data from AT37-12
    Description: The Eastern Tropical North Pacific (ETNP), like the other marine oxygen deficient zones (ODZs), is characterized by an anoxic water column, nitrite accumulation at the anoxic core, and fixed nitrogen loss via nitrite reduction to N2O and N2 gases. Here, we constrain the relative contribution of biogeochemical processes to observable features such as the secondary nitrite maximum (SNM) and local pH maximum by simultaneous measurement of inorganic nitrogen and carbon species. Bottle chemistry data for discrete depths were sampled by CTD rosette from hydrothermal vents in the Eastern Tropical North Pacific during R/V Atlantis cruise AT37-12 in April and May 2017. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/889539
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1559198, NSF Division of Ocean Sciences (NSF OCE) OCE-1559042
    Keywords: nitrite ; nitrate ; hydrothermal vents ; Eastern tropical North Pacific
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  • 84
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    A spatially and vertically resolved global grid of dissolved barium concentrations in seawater determined using Gaussian Process Regression machine learning (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-22
    Description: Dataset: Distribution of dissolved barium in seawater determined using machine learning
    Description: We present a spatially and vertically resolved global grid of dissolved barium concentrations ([Ba]) in seawater determined using Gaussian Process Regression machine learning. This model was trained using 4,345 quality-controlled GEOTRACES data from the Arctic, Atlantic, Pacific, and Southern Oceans. Model output was validated by assessing the accuracy of [Ba] simulations in the Indian Ocean, noting that none of the 1,157 Indian Ocean data were seen by the model during training. We identify a model that can accurate predict [Ba] in the Indian Ocean using six features: depth, temperature, salinity, dissolved oxygen, dissolved phosphate, and dissolved nitrate. This model achieves a mean absolute percentage deviation of 6.3 %. This model was used to simulate [Ba] on a global basis using predictor data from the World Ocean Atlas 2018. The global model of [Ba] is on a 1°x 1° grid with 102 depth levels from 0 to 5,500 m. The dissolved [Ba] output was then used to simulate dissolved Ba* (barium-star), which is the difference between 'observed' and [Ba] predicted from co-located [Si]. Lastly, [Ba] data were combined with temperature, salinity, and pressure data from the World Ocean Atlas to calculate the saturation state of seawater with respect to barite. The model reveals that the volume-weighted mean oceanic [Ba] and and saturation state are 89 nmol kg–1 and 0.82, respectively. These results imply that the total marine Ba inventory is 122±8 ×10¹² mol. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/885506
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2023456, NSF Division of Ocean Sciences (NSF OCE) OCE-2048604
    Keywords: barium ; barite ; machine learning
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  • 85
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    Multiple Opening and Closing Net Environmental Sampling System (MOCNESS) water filtering volumes from 2018 and 2019 taken in the Northern California Current waters. (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-16
    Description: Dataset: MOCNESS Filtered Volumes
    Description: Multiple Opening and Closing Net Environmental Sampling System (MOCNESS) water filtering volumes from 2018 and 2019 taken in the Northern California Current waters sampled aboard the R/V Sikuliaq, R/V Sally Ride and R/V Atlantis. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/783036
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737399, NSF Division of Ocean Sciences (NSF OCE) OCE-1737364
    Keywords: Plankton imagery ; MOCNESS ; Northern California Current ; fine-scale
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  • 86
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    Output model data from paradox of adaptive trait clines with non-clinal patterns in the underlying genes (Model Validation Program project) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-25
    Description: Dataset: Paradox of adaptive trait clines
    Description: Background: Multivariate climate change presents an urgent need to understand how species adapt to complex environments. Population genetic theory predicts that loci under selection will form monotonic allele frequency clines with their selective environment, which has led to the wide use of genotype-environment associations (GEAs). This study used a novel set of In silico simulations to elucidate the conditions under which allele frequency clines are more or less likely to evolve as multiple quantitative traits adapt to multivariate environments. Zenodo archive of GitHub Repository of all code used to create the simulations. Every directory includes a README describing the code, and metadata files are included for the archived outputs. Modeling code details: Code was developed 2020-2022 Simulation code was developed in SLiM, recapitated in pyslim, filtered with vcftools, and analyzed with R. Code was developed by K. E. Lotterhos (PI) For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/889769
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2043905
    Description: 2024-01-01
    Keywords: eco-evo simulations ; Estuary ; Local adaptation ; population genomics ; multivariate ordination
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  • 87
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    Cross-site comparisons of dryland ecosystem response to climate change in the US long-term ecological research network (2023)
    Oxford University Press
    Details
    Publication Date: 2023-02-25
    Description: © The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Hudson, A. R., Peters, D. P. C., Blair, J. M., Childers, D. L., Doran, P. T., Geil, K., Gooseff, M., Gross, K. L., Haddad, N. M., Pastore, M. A., Rudgers, J. A., Sala, O., Seabloom, E. W., & Shaver, G. Cross-site comparisons of dryland ecosystem response to climate change in the US long-term ecological research network. Bioscience, 72(9), (2022): 889–907, https://doi.org/10.1093/biosci/biab134.
    Description: Long-term observations and experiments in diverse drylands reveal how ecosystems and services are responding to climate change. To develop generalities about climate change impacts at dryland sites, we compared broadscale patterns in climate and synthesized primary production responses among the eight terrestrial, nonforested sites of the United States Long-Term Ecological Research (US LTER) Network located in temperate (Southwest and Midwest) and polar (Arctic and Antarctic) regions. All sites experienced warming in recent decades, whereas drought varied regionally with multidecadal phases. Multiple years of wet or dry conditions had larger effects than single years on primary production. Droughts, floods, and wildfires altered resource availability and restructured plant communities, with greater impacts on primary production than warming alone. During severe regional droughts, air pollution from wildfire and dust events peaked. Studies at US LTER drylands over more than 40 years demonstrate reciprocal links and feedbacks among dryland ecosystems, climate-driven disturbance events, and climate change.
    Description: Funding was provided by the USDA-ARS SCINet Big Data Project (grant no. 0500–00093–001–00-D), and the National Science Foundation US LTER Program to New Mexico State University for the Jornada Basin (grant no. DEB 20–25166), Kansas State University for the Konza Prairie (grant no. DEB 2025849), the Kellogg Biological Station (grant no. DEB 1832042), Cedar Creek Ecosystem Science Reserve (grants no. DEB-1234162 and no. DEB-1831944), ARC (grant no. DEB-1637459), MCM (grant no. OPP-1637708), CAP (grant no. DEB-1832016), and SEV (grant no. DEB-1655499). Support was also provided by the Minnesota Supercomputer Institute and the University of Minnesota, Michigan State University AgBioResearch.
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  • 88
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    Global reconstructions of particle biovolume, size distribution, and carbon export flux from the seasonal euphotic zone and maximum winter time mixed layer from particle profiles conducted during cruises from 2008 to 2020 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-17
    Description: Dataset: Global reconstruction of particle size distribution and carbon export
    Description: Global reconstructions of particle biovolume, size distribution, and carbon export flux from the seasonal euphotic zone and maximum winter time mixed layer. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/856942
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1635632
    Keywords: Carbon Export ; Biological pump ; Particulate Matter
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  • 89
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    Mechanism of the 2017 M-w 6.3 Pasni earthquake and its significance for future major earthquakes in the eastern Makran (2023)
    Oxford University Press
    Details
    Publication Date: 2023-02-17
    Description: Author Posting. © The Author(s), 2022. This is the author's version of the work. It is posted here by permission of Oxford University Press for personal use, not for redistribution. The definitive version was published in Geophysical Journal International 231(2),(2022): 1434–1445, https://doi.org/10.1093/gji/ggac257.
    Description: Makran subduction zone is very active with ∼38 mm yr−1 convergence rate and has experienced great earthquakes in the past. The latest great earthquake of 1945 Mw 8.1 event also triggered a large tsunami and led to ∼4000 casualties. However, due to incomplete historical seismicity records and poor modern instrumentation, earthquake mechanism, co-seismic slip and tsunami characteristics in Makran remain unclear. On 2017 February 17, an Mw 6.3 earthquake rattled offshore Pasni of Pakistan in the eastern Makran, marking the largest event after the 1945 Mw 8.1 earthquake with good geodetic and geophysical data coverage. We use a combination of seismicity, multibeam bathymetry, seismic profile, InSAR measurements and tide-gauge observation to investigate the seismogenic structure, co-seismic deformation, tsunami characteristics of this event and its implication for future major earthquakes. Our results indicate that (1) the earthquake occurred on the shallow-dipping (3°–4°) megathrust; (2) the megathrust co-seismically slipped 15 cm and caused ∼2–4 cm ground subsidence and uplift at Pasni; (3) our tsunami modelling reproduces the observed 5-cm-high small tsunami waveforms. The Pasni earthquake rupture largely overlaps the 1945 slip patch and disturbs the west and east megathrust segments that have not ruptured yet at least since 1765. With such stress perturbation and possible stress evolution effect from the 1945 earthquake, the unruptured patches may fail in the future. This study calls for more preparedness in mitigating earthquake and associated hazards in the eastern Makran.
    Description: his study is financially supported by the National Natural Science Foundation of China (Nos. 42076059, 41890813, 41976066 and 41976064), the Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (No. GML2019ZD0205), Chinese Academy of Sciences (Nos. Y4SL021001, QYZDY-SSW-DQC005, 131551KYSB20200021, ISEE2021PY03, 133244KYSB20180029 and E1SL3C02), Guangdong Basic and Applied Basic Research Foundation (No. 2021B1515020098) and China–Pakistan Joint Research Centre on Earth Sciences.
    Keywords: Tsunamis ; Earthquake dynamics ; Earthquake hazards ; Seismicity and tectonics ; Subduction zone processes
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  • 90
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    Alkalinity, Salinity, Bivalve Biomass, Streamflow and, Submerged Aquatic Vegetation in Tidal Tributaries of the Chesapeake Bay from 1984 to 2018. (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-17
    Description: Dataset: Alkalinity, salinity, bivalve biomass, streamflow, and submerged aquatic vegetation.
    Description: Alkalinity, Salinity, Bivalve Biomass, Streamflow and Submerged Aquatic Vegetation in Tidal Tributaries of the Chesapeake Bay from 1984 to 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/887278
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1537013, NSF Division of Ocean Sciences (NSF OCE) OCE-1536996, NSF Division of Atmospheric and Geospace Sciences (NSF AGS) AGS‐ 1560339, National Aeronautics & Space Administration (NASA) NNX14AM37G, National Aeronautics & Space Administration (NASA) NNX14AF93G
    Keywords: Alkalinity ; estuaries ; Chesapeake Bay
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 91
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    Computed (from pH) surface partial pressure and air-water flux of carbon dioxide in the mainstem Chesapeake Bay from 1998 to 2018 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-17
    Description: Dataset: Computed surface partial pressure and air-water flux of carbon dioxide
    Description: The data products are calculated partial pressure and air-sea flux of carbon dioxide in the main stem of Chesapeake Bay from 1998 to 2018 and include all the inputs to the calculation as well. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/887398
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1537013, NSF Division of Ocean Sciences (NSF OCE) OCE-1536996, National Aeronautics & Space Administration (NASA) NNX14AM37G, National Aeronautics & Space Administration (NASA) NNX14AF93G
    Keywords: carbon dioxide ; estuaries ; Chesapeake Bay
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 92
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    Juvenile oyster condition index from risk-addition experiment conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve from June to November 2012 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-11
    Description: Dataset: Results of risk-addition experiment (juvenile oyster condition index)
    Description: The eastern oyster (Crassostrea virginica) is a foundation species in northeast Florida estuaries, including the Guana Tolomato Matanzas National Estuarine Research Reserve (GTMNERR), where intertidal reefs are extensive. Estuarine research to assess the sustainability of oyster populations, plus various monitoring studies and oyster reef restoration projects have been undertaken, with an additional focus on testing theory regarding the effects of predation risk in the natural environment. As part of a study that manipulatively “pressed” risk cues onto oyster prey, a field experiment was conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve (Ponte Vedra Beach, Florida) from June to November 2012. Three sites within the southern areas of the GTM NERR (south of Matanzas inlet) were used in the experiment: Summer Island North (SIN), Marine Land (ML), and Pellicer Flats (PF). The SIN site occurred closest to the inlet (farthest from freshwater input), the PF site occurred farthest from the inlet and closest to freshwater input, while the ML site occurs between the inlet and the freshwater input. Oyster survival, growth, and recruitment were checked monthly. At the midpoint and conclusion of the experiment, individual oysters were also destructively sampled to quantify differences in oyster traits (shell versus tissue mass) as a function of experimental treatment and location. This submission concerns the traits of juvenile oysters approximately one month after the initiation of the experiment. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/885817
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736943, NSF Division of Ocean Sciences (NSF OCE) OCE-1820540
    Keywords: Predation risk ; Comparative experimental approach ; phenotype ; nonconsumptive effect
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 93
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    Adult oyster survival from risk-addition experiment conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve from June to November 2012 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-11
    Description: Dataset: Results of risk-addition experiment (adult oyster survival)
    Description: The eastern oyster (Crassostrea virginica) is a foundation species in northeast Florida estuaries, including the Guana Tolomato Matanzas National Estuarine Research Reserve (GTMNERR), where intertidal reefs are extensive. Estuarine research to assess sustainability and oyster population, plus various monitoring studies and oyster reef restoration projects have been undertaken, with an additional focus on testing theory regarding the effects of predation risk in the natural environment. As part of a study that manipulatively “pressed” risk cues onto oyster prey, a field experiment was conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve (Ponte Vedra Beach, Florida) from June to November 2012. Three areas within the southern areas of the GTM NERR (south of Matanzas inlet) were used in the experiment: Summer Island North (SIN), Marine Land (ML) and Pellicer Flats (PF). The SIN site occurred closest to the inlet (farthest from freshwater input), the PF site occurred farthest from inlet and closest to freshwater input, while the ML site occurs between the inlet and the freshwater input. Oyster survival, growth and recruitment were checked monthly. At the mid point and conclusion of the experiment, individual oysters were also destructively sampled to quantify differences in oyster traits (shell versus tissue mass) as a function of experimental treatment and location. This submission concerns the survival of adult oysters. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/884130
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736943, NSF Division of Ocean Sciences (NSF OCE) OCE-1820540
    Keywords: Eastern oyster ; phenotype ; traits ; fitness ; Predation risk ; nonconsumptive effect
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 94
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    Juvenile oyster growth from risk-addition experiment conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve from June to November 2012 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-11
    Description: Dataset: Results of risk-addition experiment (juvenile oyster growth)
    Description: The eastern oyster (Crassostrea virginica) is a foundation species in northeast Florida estuaries, including the Guana Tolomato Matanzas National Estuarine Research Reserve (GTMNERR), where intertidal reefs are extensive. Estuarine research to assess sustainability and oyster population, plus various monitoring studies and oyster reef restoration projects have been undertaken, with an additional focus on testing theory regarding the effects of predation risk in the natural environment. As part of a study that manipulatively “pressed” risk cues onto oyster prey, a field experiment was conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve (Ponte Vedra Beach, Florida) from June to November 2012. Three areas within the southern areas of the GTM NERR (south of Matanzas inlet) were used in the experiment: Summer Island North (SIN), Marine Land (ML) and Pellicer Flats (PF). The SIN site occurred closest to the inlet (farthest from freshwater input), the PF site occurred farthest from inlet and closest to freshwater input, while the ML site occurs between the inlet and the freshwater input. Oyster survival, growth and recruitment were checked monthly. At the mid point and conclusion of the experiment, individual oysters were also destructively sampled to quantify differences in oyster traits (shell versus tissue mass) as a function of experimental treatment and location. This submission concerns the growth of juvenile oysters. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/885493
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736943, NSF Division of Ocean Sciences (NSF OCE) OCE-1820540
    Keywords: Growth increment ; Predation risk ; environmental gradients ; nonconsumptive effect
    Repository Name: Woods Hole Open Access Server
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  • 95
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    Juvenile oyster survival from risk-addition experiment conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve from June to November 2012 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-11
    Description: Dataset: Results of risk-addition experiment (juvenile oyster survival)
    Description: The eastern oyster (Crassostrea virginica) is a foundation species in northeast Florida estuaries, including the Guana Tolomato Matanzas National Estuarine Research Reserve (GTMNERR), where intertidal reefs are extensive. Estuarine research to assess sustainability and oyster population, plus various monitoring studies and oyster reef restoration projects have been undertaken, with an additional focus on testing theory regarding the effects of predation risk in the natural environment. As part of a study that manipulatively “pressed” risk cues onto oyster prey, a field experiment was conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve (Ponte Vedra Beach, Florida) from June to November 2012. Three areas within the southern areas of the GTM NERR (south of Matanzas inlet) were used in the experiment: Summer Island North (SIN), Marine Land (ML), and Pellicer Flats (PF). The SIN site occurred closest to the inlet (farthest from freshwater input), the PF site occurred farthest from the inlet and closest to freshwater input, and the ML site occurs between the inlet and the freshwater input. Oyster survival, growth, and recruitment were checked monthly. At the midpoint and conclusion of the experiment, individual oysters were also destructively sampled to quantify differences in oyster traits (shell versus tissue mass) as a function of experimental treatment and location. This submission concerns the survival of juvenile oysters. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/885259
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736943, NSF Division of Ocean Sciences (NSF OCE) OCE-1820540
    Keywords: Predation risk ; nonconsumptive effect ; vital rate
    Repository Name: Woods Hole Open Access Server
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  • 96
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    Oyster recruitment from risk-addition experiment conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve from June to November 2012 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-11
    Description: Dataset: Results of risk-addition experiment (oyster recruitment)
    Description: The eastern oyster (Crassostrea virginica) is a foundation species in northeast Florida estuaries, including the Guana Tolomato Matanzas National Estuarine Research Reserve (GTMNERR), where intertidal reefs are extensive. Estuarine research to assess sustainability of oyster populations, plus various monitoring studies and oyster reef restoration projects have been undertaken, with an additional focus on testing theory regarding the effects of predation risk in the natural environment. As part of a study that manipulatively “pressed” risk cues onto oyster prey, a field experiment was conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve (Ponte Vedra Beach, Florida) from June to November 2012. Three areas within the southern areas of the GTM NERR (south of Matanzas inlet) were used in the experiment: Summer Island North (SIN), Marine Land (ML) and Pellicer Flats (PF). The SIN site occurred closest to the inlet (farthest from freshwater input), the PF site occurred farthest from inlet and closest to freshwater input, while the ML site occurs between the inlet and the freshwater input. Oyster survival, growth and recruitment were checked monthly. At the mid point and conclusion of the experiment, individual oysters were also destructively sampled to quantify differences in oyster traits (shell versus tissue mass) as a function of experimental treatment and location. This submission concerns the recruitment of larval oysters to the experimental treatments. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/885720
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736943, NSF Division of Ocean Sciences (NSF OCE) OCE-1820540
    Keywords: Predation risk ; larval recruitment ; nonconsumptive effect
    Repository Name: Woods Hole Open Access Server
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  • 97
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    Adult oyster condition index from risk-addition experiments in the Guana Tolomato Matanzas National Estuarine Research Reserve from June to November 2012 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-11
    Description: Dataset: Results of risk-addition experiment (adult oyster condition index)
    Description: The eastern oyster (Crassostrea virginica) is a foundation species in northeast Florida estuaries, including the Guana Tolomato Matanzas National Estuarine Research Reserve (GTMNERR), where intertidal reefs are extensive. Estuarine research to assess sustainability and oyster population, plus various monitoring studies and oyster reef restoration projects have been undertaken, with an additional focus on testing theory regarding the effects of predation risk in the natural environment. As part of a study that manipulatively “pressed” risk cues onto oyster prey, a field experiment was conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve (Ponte Vedra Beach, Florida) from June to November 2012. Three areas within the southern areas of the GTM NERR (south of Matanzas inlet) were used in the experiment: Summer Island North (SIN), Marine Land (ML) and Pellicer Flats (PF). The SIN site occurred closest to the inlet (farthest from freshwater input), the PF site occurred farthest from inlet and closest to freshwater input, while the ML site occurs between the inlet and the freshwater input. Oyster survival, growth and recruitment were checked monthly. At the mid point and conclusion of the experiment, individual oysters were also destructively sampled to quantify differences in oyster traits (shell versus tissue mass) as a function of experimental treatment and location. This submission concerns the condition index of adult oysters. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/885078
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736943, NSF Division of Ocean Sciences (NSF OCE) OCE-1820540
    Keywords: Oyster ; phenotype ; Predation risk ; fitness ; nonconsumptive effect
    Repository Name: Woods Hole Open Access Server
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  • 98
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    Adult oyster growth from risk-addition experiment conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve from June to November 2012 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-11
    Description: Dataset: Results of risk-addition experiment (adult oyster growth)
    Description: The eastern oyster (Crassostrea virginica) is a foundation species in northeast Florida estuaries, including the Guana Tolomato Matanzas National Estuarine Research Reserve (GTMNERR), where intertidal reefs are extensive. Estuarine research to assess sustainability and oyster population, plus various monitoring studies and oyster reef restoration projects have been undertaken, with an additional focus on testing theory regarding the effects of predation risk in the natural environment. As part of a study that manipulatively “pressed” risk cues onto oyster prey, a field experiment was conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve (Ponte Vedra Beach, Florida) from June to November 2012. Three areas within the southern areas of the GTM NERR (south of Matanzas inlet) were used in the experiment: Summer Island North (SIN), Marine Land (ML) and Pellicer Flats (PF). The SIN site occurred closest to the inlet (farthest from freshwater input), the PF site occurred farthest from inlet and closest to freshwater input, while the ML site occurs between the inlet and the freshwater input. Oyster survival, growth and recruitment were checked monthly. At the mid point and conclusion of the experiment, individual oysters were also destructively sampled to quantify differences in oyster traits (shell versus tissue mass) as a function of experimental treatment and location. This submission concerns the growth of adult oysters. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/884362
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736943, NSF Division of Ocean Sciences (NSF OCE) OCE-1820540
    Keywords: growth ; Predation risk ; nonconsumptive effect
    Repository Name: Woods Hole Open Access Server
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  • 99
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    Genesis of Oceanic Oxide Gabbros and Gabbronorites During Reactive Melt Migration at Transform Walls (Doldrums Megatransform System; 7–8°N Mid-Atlantic Ridge) (2023)
    Oxford University Press
    Details
    Publication Date: 2023-01-25
    Description: The Doldrums Megatransform System (~7–8°N, Mid-Atlantic Ridge) shows a complex architecture including four intra-transform ridge segments bounded by five active transform faults. Lower crustal rocks are exposed along the Doldrums and Vernadsky transform walls that bound the northernmost intra-transform ridge segment. The recovered gabbros are characterized by variably evolved chemical compositions, ranging from olivine gabbros to gabbronorites and oxide gabbros, and lack the most primitive gabbroic endmembers (troctolites, dunites). Notably, the numerous recovered gabbronorites show up to 20 vol. % of coarse-grained orthopyroxene. Although covariations in mineral and bulk-rock chemical compositions of the olivine and oxide gabbros define trends of crystallization from a common parental melt, the gabbronorites show elevated light over heavy rare earth elements (LREE/HREE) ratios in both bulk-rock and mineral compositions. These features are not consistent with a petrological evolution driven solely by fractional crystallization, which cannot produce the preferential enrichments in highly incompatible elements documented in the orthopyroxene-bearing lithologies. We suggest that gabbronorites crystallized from evolved melts percolating and partly assimilating a pre-existing olivine gabbro matrix. Saturation in orthopyroxene and selective enrichments in LREE relative to M-HREE are both triggered by an increase in assimilated crystal mass, which ranges from negligible in the oxide-gabbros to abundant in the gabbronorites. This melt–rock reaction process has been related to lateral melt migration beneath ridge-transform intersections, where variably evolved melts injected from the peripheral parts of the melting region towards the transform zone may interact with a gabbroic crystal mush to form abundant oxide-bearing gabbronoritic associations.
    Description: Published
    Description: egac086
    Description: 3A. Geofisica marina e osservazioni multiparametriche a fondo mare
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 100
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    Field experiments to determine the ability of gnathiid isopods to detect and locate Caribbean reef fish hosts using chemosensory cues in John Brewers Bay, St Thomas, US Virgin Island from June to August, 2019 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-25
    Description: Dataset: Field experiments of gnathiid isopods and Caribbean reef fish hosts
    Description: Gnathiid isopods are common crustacean parasites that inhabit all oceans from shorelines to depths of over 3000 m and use chemical cues to find their marine fish hosts. While gnathiids are host-generalists, hosts vary in their susceptibility to infestation. However, the mechanisms that mediate differential susceptibility are unknown. Here we used field experiments to investigate if the chemical attractiveness of hosts explains differences in the susceptibility of Caribbean reef fishes to infestation by a common Caribbean gnathiid isopod, Gnathia marleyi. We showed that while G. marleyi can detect and locate hosts using only chemical cues, they do not exhibit a preference for chemical cues produced by more susceptible fish species. We conclude that species-specific chemical cues are not the main mechanism driving differences in host susceptibility to gnathiid isopod infestation and that visual or post-attachment factors such as ease of obtaining a blood meal are likely mediators.  For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/887304
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1536794
    Keywords: Gnathiid isopod ; parasite ; chemical cues ; host attraction ; host finding
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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