Single beam echo-sounding dataset and digital elevation model of the southeastern part of the Baltic Sea (Russian sector)

We present the bathymetric dataset of a single beam sounding. Surveys were conducted in 25 expeditions of the Atlantic branch of Shirshov Institute of Oceanology RAS in the Russian EEZ area of the southeastern part of the Baltic Sea in the period from 2004 to 2018. Acoustic data were acquired by ech...

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Detalles Bibliográficos
Autores principales: Dorokhov, Dmitry, Dudkov, Ivan, Sivkov, Vadim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Earth and Planetary Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598838/
https://www.ncbi.nlm.nih.gov/pubmed/31297420
http://dx.doi.org/10.1016/j.dib.2019.104123
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author Dorokhov, Dmitry
Dudkov, Ivan
Sivkov, Vadim
author_facet Dorokhov, Dmitry
Dudkov, Ivan
Sivkov, Vadim
author_sort Dorokhov, Dmitry
collection PubMed
description We present the bathymetric dataset of a single beam sounding. Surveys were conducted in 25 expeditions of the Atlantic branch of Shirshov Institute of Oceanology RAS in the Russian EEZ area of the southeastern part of the Baltic Sea in the period from 2004 to 2018. Acoustic data were acquired by echo sounders Simrad EA-400SP and Furuno FS-700. The raw sounding data were filtered and corrected by sound velocity values. The dataset is presented as spreadsheets (*.xslx) and GIS point-class shapes (*.shp). The digital elevation model (DEM) of 1: 500 000 scale has been constructed for the entire Russian EEZ on base of the original array of sounding profiles and an open sources bathymetry [1]. DEM is presented by XYZ-grid (*.txt) and GeoTIFF raster (*.tif).
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spelling pubmed-65988382019-07-11 Single beam echo-sounding dataset and digital elevation model of the southeastern part of the Baltic Sea (Russian sector) Dorokhov, Dmitry Dudkov, Ivan Sivkov, Vadim Data Brief Earth and Planetary Science We present the bathymetric dataset of a single beam sounding. Surveys were conducted in 25 expeditions of the Atlantic branch of Shirshov Institute of Oceanology RAS in the Russian EEZ area of the southeastern part of the Baltic Sea in the period from 2004 to 2018. Acoustic data were acquired by echo sounders Simrad EA-400SP and Furuno FS-700. The raw sounding data were filtered and corrected by sound velocity values. The dataset is presented as spreadsheets (*.xslx) and GIS point-class shapes (*.shp). The digital elevation model (DEM) of 1: 500 000 scale has been constructed for the entire Russian EEZ on base of the original array of sounding profiles and an open sources bathymetry [1]. DEM is presented by XYZ-grid (*.txt) and GeoTIFF raster (*.tif). Elsevier 2019-06-11 /pmc/articles/PMC6598838/ /pubmed/31297420 http://dx.doi.org/10.1016/j.dib.2019.104123 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Earth and Planetary Science
Dorokhov, Dmitry
Dudkov, Ivan
Sivkov, Vadim
Single beam echo-sounding dataset and digital elevation model of the southeastern part of the Baltic Sea (Russian sector)
title Single beam echo-sounding dataset and digital elevation model of the southeastern part of the Baltic Sea (Russian sector)
title_full Single beam echo-sounding dataset and digital elevation model of the southeastern part of the Baltic Sea (Russian sector)
title_fullStr Single beam echo-sounding dataset and digital elevation model of the southeastern part of the Baltic Sea (Russian sector)
title_full_unstemmed Single beam echo-sounding dataset and digital elevation model of the southeastern part of the Baltic Sea (Russian sector)
title_short Single beam echo-sounding dataset and digital elevation model of the southeastern part of the Baltic Sea (Russian sector)
title_sort single beam echo-sounding dataset and digital elevation model of the southeastern part of the baltic sea (russian sector)
topic Earth and Planetary Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598838/
https://www.ncbi.nlm.nih.gov/pubmed/31297420
http://dx.doi.org/10.1016/j.dib.2019.104123
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