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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...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7643151/ https://www.ncbi.nlm.nih.gov/pubmed/33149127 http://dx.doi.org/10.1038/s41597-020-00705-w |
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author | 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 |
author_facet | 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 |
author_sort | Palano, Mimmo |
collection | PubMed |
description | 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). |
format | Online Article Text |
id | pubmed-7643151 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76431512020-11-06 Geopositioning time series from offshore platforms in the Adriatic Sea 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 Sci Data Data Descriptor 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). Nature Publishing Group UK 2020-11-04 /pmc/articles/PMC7643151/ /pubmed/33149127 http://dx.doi.org/10.1038/s41597-020-00705-w Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor 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 Geopositioning time series from offshore platforms in the Adriatic Sea |
title | Geopositioning time series from offshore platforms in the Adriatic Sea |
title_full | Geopositioning time series from offshore platforms in the Adriatic Sea |
title_fullStr | Geopositioning time series from offshore platforms in the Adriatic Sea |
title_full_unstemmed | Geopositioning time series from offshore platforms in the Adriatic Sea |
title_short | Geopositioning time series from offshore platforms in the Adriatic Sea |
title_sort | geopositioning time series from offshore platforms in the adriatic sea |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7643151/ https://www.ncbi.nlm.nih.gov/pubmed/33149127 http://dx.doi.org/10.1038/s41597-020-00705-w |
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