Geopositioning time series from offshore platforms in the Adriatic Sea

We provide a dataset of 3D coordinate time series of 37 continuous GNSS stations installed for stability monitoring purposes on onshore and offshore industrial settlements along a NW-SE-oriented and ~100-km-wide belt encompassing the eastern Italian coast and the Adriatic Sea. The dataset results fr...

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Bibliographic Details
Published in:Scientific data 2020-11, Vol.7 (1), p.373, Article 373
Main Authors: Palano, Mimmo, Pezzo, Giuseppe, Serpelloni, Enrico, Devoti, Roberto, D’Agostino, Nicola, Gandolfi, Stefano, Sparacino, Federica, Anderlini, Letizia, Poluzzi, Luca, Tavasci, Luca, Macini, Paolo, Pietrantonio, Grazia, Riguzzi, Federica, Antoncecchi, Ilaria, Ciccone, Francesco, Rossi, Giada, Avallone, Antonio, Selvaggi, Giulio
Format: Article
Language:English
Subjects:
704/2151/210
704/2151/2809
704/4111
706/4066/4078
Computer programs
Data Descriptor
Humanities and Social Sciences
multidisciplinary
Oscillations
Science
Science (multidisciplinary)
Time series
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Summary:We provide a dataset of 3D coordinate time series of 37 continuous GNSS stations installed for stability monitoring purposes on onshore and offshore industrial settlements along a NW-SE-oriented and ~100-km-wide belt encompassing the eastern Italian coast and the Adriatic Sea. The dataset results from the analysis performed by using different geodetic software (Bernese, GAMIT/GLOBK and GIPSY) and consists of six raw position time series solutions, referred to IGb08 and IGS14 reference frames. Time series analyses and comparisons evidence that the different solutions are consistent between them, despite the use of different software, models, strategy processing and frame realizations. We observe that the offshore stations are subject to significant seasonal oscillations probably due to seasonal environmental loads, seasonal temperature-induced platform deformation and hydrostatic pressure variations. Many stations are characterized by non-linear time series, suggesting a complex interplay between regional (long-term tectonic stress) and local sources of deformation (e.g. reservoirs depletion, sediment compaction). Computed raw time series, logs files, phasor diagrams and time series comparison plots are distributed via PANGAEA ( https://www.pangaea.de ). Measurement(s) ground deformation process Technology Type(s) GPS navigation system Factor Type(s) GNSS station • temporal interval Sample Characteristic - Location Adriatic Sea Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.13034372
ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-020-00705-w