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  • PANGAEA
  • 2015-2019  (48,513)
  • 1980-1984  (665)
  • 1960-1964  (89)
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  • 1
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    PANGAEA
    In:  Supplement to: Villani, Fabio; Pucci, Stefano; Azzaro, Raffaele; Civico, Riccardo; Cinti, Francesca Romana; Pizzimenti, Luca; Tarabusi, Gabriele; Branca, Stefano; Brunori, Carlo Alberto; Caciagli, Marco; Cantarero, Massimo; Cucci, Luigi; D'Amico, Salvatore; De Beni, Emanuela; De Martini, Paolo Marco; Mariucci, Maria Teresa; Messina, A; Montone, Paola; Nappi, Rosa; Nave, Rosella; Pantosti, Daniela; Ricci, Tullio; Sapia, Vincenzo; Smedile, Alessandra; Vallone, Roberto; Venuti, Alessandra (2020): Surface ruptures database related to the 26 December 2018, MW 4.9 Mt. Etna earthquake, southern Italy. Scientific Data, 7(1), 42, https://doi.org/10.1038/s41597-020-0383-0
    Publication Date: 2024-06-22
    Description: We provide a database of the coseismic surface ruptures produced by the 26 December 2018 Mw 4.9 earthquake that struck the eastern flank of Mt. Etna (southern Italy), the largest active volcano in Europe. Despite its small size, this shallow earthquake caused an impressive system of coseismic surface ruptures extending about 8.5 km, along the trace of the NNW-trending active Fiandaca Fault. We performed detailed field surveys were performed in the epicentral region to describe the ruptures geometry and kinematics. These exhibit a dominant right-oblique sense of slip with coseismic displacement peaks of 0.35 m. The Fiandaca Fault is part of a complex active faults system affecting the eastern flank of Mt. Etna. Its seismic history indicates a prominent surface-faulting potential, so our study is essential for unravelling the seismotectonics of shallow earthquakes in volcanic settings, and contributes updating empirical scaling laws relating moderate-sized earthquakes and surface faulting. The collected observations have been parsed and organized in a concise database consisting of 874 homogeneous georeferenced records. The main features describing the coseismic ruptures are the following: ID, time of sample collection, location (latitude, longitude, elevation), type of rupture, type of affected substratum, attitude (dip angle, dip direction, strike), surface offset (opening, throw, strike slip, net slip), kinematics, slip vector attitude, width of the deformation zone.
    Keywords: Angle; Compass; DATE/TIME; Direction; earthquake; ELEVATION; Etna; ETNA; Fiandaca fault; Kinematics; LATITUDE; Length; LONGITUDE; Mount Etna, Sicily, Italia; Observation; Offset; Opening; ORDINAL NUMBER; Plunge; rupture; Strike; Strike-slip; Substratum; surface faulting; Throw; Trend; volcano; Width
    Type: Dataset
    Format: text/tab-separated-values, 6893 data points
    Location Call Number Expected Availability
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  • 2
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    PANGAEA
    In:  Supplement to: Rovere, Alessio; Hearty, Paul J; Austermann, J; Mitrovica, Jerry X; Gale, J; Moucha, R; Forte, Alessandro M; Raymo, Maureen E (2015): Mid-Pliocene shorelines of the US Atlantic Coastal Plain — An improved elevation database with comparison to Earth model predictions. Earth-Science Reviews, 145, 117-131, https://doi.org/10.1016/j.earscirev.2015.02.007
    Publication Date: 2024-06-21
    Description: For nearly a century, the Atlantic Coastal Plain (ACP) of the United States has been the focus of studies investigating Pliocene and Pleistocene shorelines, however, the mapping of paleoshorelines was primarily done by using elevation contours on topographic maps. Here we review published geologic maps and compare them to paleoshoreline locations obtained through geomorphometric classification and satellite data. We furthermore present the results of an extensive field campaign that measured the mid-Pliocene (~ 3.3-2.9 Ma) shorelines of the Atlantic Coastal Plain using high-accuracy GPS and digital elevation models. We compare our new dataset to positions and elevations extracted from published maps and find that the extracted site information from earlier studies is prone to significant error, both in the location and, more severely, in the elevation of the paleoshoreline. We also investigate, using geophysical modeling, the origin of post-depositional displacement of the shoreline from Georgia to Virginia. In particular, we correct the elevation of our shoreline for glacial isostatic adjustment (GIA) and then compare the corrected elevation to predictions of mantle flow-induced dynamic topography (DT). While a subset of these models does reconcile the general trends in the observed elevation of the mid-Pliocene shoreline, local discrepancies persist. These discrepancies suggests that either (i) the DT and GIA models presented here do not capture the full range of uncertainty in the input parameters; and/or (ii) other influences, such as sediment loading and unloading or local fault-driven tectonics, may have contributed to post-depositional deformation of the mid-Pliocene shoreline that are not captured in the above models. In this context, our field measurements represent an important observational dataset with which to compare future generations of geodynamic models. Improvements in models for DT, GIA and other relevant processes, together with an expanded, geographically distributed set of shoreline records, will ultimately be the key to obtaining more accurate estimates of eustatic sea level not only in the mid-Pliocene but also earlier in the Cenozoic.
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 3
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    PANGAEA
    In:  Supplement to: Yang, Yan; Hansson, L; Gattuso, Jean-Pierre (2016): Data compilation on the biological response to ocean acidification: an update. Earth System Science Data, 8(1), 79-87, https://doi.org/10.5194/essd-8-79-2016
    Publication Date: 2024-06-21
    Description: The exponential growth of studies on the biological response to ocean acidification over the last few decades has generated a large amount of data. To facilitate data comparison, a data compilation hosted at the data publisher PANGAEA was initiated in 2008 and is updated on a regular basis (doi:10.1594/PANGAEA.149999). By January 2015, a total of 581 data sets (over 4 000 000 data points) from 539 papers had been archived. Here we present the developments of this data compilation five years since its first description by Nisumaa et al. (2010). Most of study sites from which data archived are still in the Northern Hemisphere and the number of archived data from studies from the Southern Hemisphere and polar oceans are still relatively low. Data from 60 studies that investigated the response of a mix of organisms or natural communities were all added after 2010, indicating a welcomed shift from the study of individual organisms to communities and ecosystems. The initial imbalance of considerably more data archived on calcification and primary production than on other processes has improved. There is also a clear tendency towards more data archived from multifactorial studies after 2010. For easier and more effective access to ocean acidification data, the ocean acidification community is strongly encouraged to contribute to the data archiving effort, and help develop standard vocabularies describing the variables and define best practices for archiving ocean acidification data.
    Keywords: Biological process; Country; Experimental treatment; Geographic name/locality; Number; Persistent Identifier; Taxon/taxa; Title
    Type: Dataset
    Format: text/tab-separated-values, 4644 data points
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  • 4
    Publication Date: 2024-06-21
    Keywords: austr-alps; Austrian Alps; Glaciers Austria
    Type: Dataset
    Format: application/zip, 11.2 MBytes
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  • 5
    Publication Date: 2024-06-21
    Keywords: Accuracy; ACP; ELEVATION; Elevation 2; LATITUDE; LONGITUDE; Name; Reference/source; Sea level, relative; Sea level, relative standard deviation; Standard deviation; Subtransect; Uncertainty; US Atlantic Coastal Plain
    Type: Dataset
    Format: text/tab-separated-values, 645 data points
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  • 6
    Publication Date: 2024-06-21
    Keywords: ACP; Angle; Difference; Distance; ELEVATION; Elevation, mean; Measured; Name; Nearest point; Reference/source; Sample code/label; Scale; US Atlantic Coastal Plain
    Type: Dataset
    Format: text/tab-separated-values, 847 data points
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  • 7
    Publication Date: 2024-06-21
    Keywords: DATE/TIME; Date/time end; Density, mass density; ELEVATION; Freya_Glacier; Identification; LATITUDE; LONGITUDE; Mass change in water equivalent; Northeast Greenland; Type; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; UTM Zone, Universal Transverse Mercator; Δ height
    Type: Dataset
    Format: text/tab-separated-values, 135 data points
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  • 8
    Publication Date: 2024-06-21
    Keywords: DATE/TIME; Date/time end; Density, snow; ELEVATION; Freya_Glacier; Identification; LATITUDE; LONGITUDE; Mass change in water equivalent; Northeast Greenland; Snow height; Type; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; UTM Zone, Universal Transverse Mercator
    Type: Dataset
    Format: text/tab-separated-values, 135 data points
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  • 9
    Publication Date: 2024-06-21
    Keywords: DATE/TIME; Date/time end; Elevation, maximum; Elevation, minimum; Freya_Glacier; Mass balance, total of the altitude zone; Mass balance, total of the altitude zone, winter; Northeast Greenland; Specific mass balance of the altitude zone; Specific mass balance of the altitude zone, winter; Total area of the altitude zone
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
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  • 10
    Publication Date: 2024-06-21
    Keywords: Ablation area; Accumulation area; Accumulation area ratio; DATE/TIME; Date/time end; Date/time start; Equilibrium line altitude; Freya_Glacier; Mass balance, total; Mass balance, total, winter; Mass balance in ablation area; Mass balance in accumulation area; Northeast Greenland; Specific mass balance; Specific mass balance, winter; Specific mass balance in the ablation area; Specific mass balance in the accumulation area; Total area
    Type: Dataset
    Format: text/tab-separated-values, 16 data points
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