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GPS data from 2019 and 2020 campaigns in the Chesapeake Bay region towards quantifying vertical land motions
The Chesapeake Bay is a region along the eastern coast of the United States where sea-level rise is confounded with poorly resolved rates of land subsidence, thus new constraints on vertical land motions (VLM) in the region are warranted. In this paper, we provide a description of two campaign-style...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718772/ https://www.ncbi.nlm.nih.gov/pubmed/36460674 http://dx.doi.org/10.1038/s41597-022-01864-8 |
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author | Troia, Gabrielle Stamps, D. Sarah Lotspeich, R. Russell Duda, James McCoy, Kurt J. Moore, William Hensel, Philippe Hippenstiel, Ryan McKenna, Thomas Andreasen, David Geoghegan, Charles Ulizio, Thomas P. Kronebusch, Madeline Carr, Joel Walters, David Winn, Neil |
author_facet | Troia, Gabrielle Stamps, D. Sarah Lotspeich, R. Russell Duda, James McCoy, Kurt J. Moore, William Hensel, Philippe Hippenstiel, Ryan McKenna, Thomas Andreasen, David Geoghegan, Charles Ulizio, Thomas P. Kronebusch, Madeline Carr, Joel Walters, David Winn, Neil |
author_sort | Troia, Gabrielle |
collection | PubMed |
description | The Chesapeake Bay is a region along the eastern coast of the United States where sea-level rise is confounded with poorly resolved rates of land subsidence, thus new constraints on vertical land motions (VLM) in the region are warranted. In this paper, we provide a description of two campaign-style Global Positioning System (GPS) datasets, explain the methods used in data collection and validation, and present the experiment designed to quantify a new baseline of VLM in the Chesapeake Bay region of eastern North America. Data from GPS campaigns in 2019 and 2020 are presented as ASCII RINEX2.11 files and logsheets for each observation from the campaigns. Data were quality checked using the open-source program TEQC, resulting in average multipath 1 and 2 values of 0.68 and 0.57, respectively. All data are archived and publicly available for open access at the geodesy facility UNAVCO to abide by Findable, Accessible, Interoperable, Reusable (FAIR) data principles. |
format | Online Article Text |
id | pubmed-9718772 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97187722022-12-04 GPS data from 2019 and 2020 campaigns in the Chesapeake Bay region towards quantifying vertical land motions Troia, Gabrielle Stamps, D. Sarah Lotspeich, R. Russell Duda, James McCoy, Kurt J. Moore, William Hensel, Philippe Hippenstiel, Ryan McKenna, Thomas Andreasen, David Geoghegan, Charles Ulizio, Thomas P. Kronebusch, Madeline Carr, Joel Walters, David Winn, Neil Sci Data Data Descriptor The Chesapeake Bay is a region along the eastern coast of the United States where sea-level rise is confounded with poorly resolved rates of land subsidence, thus new constraints on vertical land motions (VLM) in the region are warranted. In this paper, we provide a description of two campaign-style Global Positioning System (GPS) datasets, explain the methods used in data collection and validation, and present the experiment designed to quantify a new baseline of VLM in the Chesapeake Bay region of eastern North America. Data from GPS campaigns in 2019 and 2020 are presented as ASCII RINEX2.11 files and logsheets for each observation from the campaigns. Data were quality checked using the open-source program TEQC, resulting in average multipath 1 and 2 values of 0.68 and 0.57, respectively. All data are archived and publicly available for open access at the geodesy facility UNAVCO to abide by Findable, Accessible, Interoperable, Reusable (FAIR) data principles. Nature Publishing Group UK 2022-12-02 /pmc/articles/PMC9718772/ /pubmed/36460674 http://dx.doi.org/10.1038/s41597-022-01864-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Troia, Gabrielle Stamps, D. Sarah Lotspeich, R. Russell Duda, James McCoy, Kurt J. Moore, William Hensel, Philippe Hippenstiel, Ryan McKenna, Thomas Andreasen, David Geoghegan, Charles Ulizio, Thomas P. Kronebusch, Madeline Carr, Joel Walters, David Winn, Neil GPS data from 2019 and 2020 campaigns in the Chesapeake Bay region towards quantifying vertical land motions |
title | GPS data from 2019 and 2020 campaigns in the Chesapeake Bay region towards quantifying vertical land motions |
title_full | GPS data from 2019 and 2020 campaigns in the Chesapeake Bay region towards quantifying vertical land motions |
title_fullStr | GPS data from 2019 and 2020 campaigns in the Chesapeake Bay region towards quantifying vertical land motions |
title_full_unstemmed | GPS data from 2019 and 2020 campaigns in the Chesapeake Bay region towards quantifying vertical land motions |
title_short | GPS data from 2019 and 2020 campaigns in the Chesapeake Bay region towards quantifying vertical land motions |
title_sort | gps data from 2019 and 2020 campaigns in the chesapeake bay region towards quantifying vertical land motions |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718772/ https://www.ncbi.nlm.nih.gov/pubmed/36460674 http://dx.doi.org/10.1038/s41597-022-01864-8 |
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