Oceanographic data collected within the Pacific Arctic Ocean by the Russia and China cruises in the summer of 2016

The dataset includes two types of hydrological data, CTD and XCTD, obtained from two expeditions in the Pacific Ocean Sector of the Arctic Ocean in 2016 summer, consisting of 94 CTD data and 24 XCTD data on Xuelong R/V from China, and 43 CTD data and 13 XCTD data on Akademik M.A. Lavrentyev R/V from...

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Bibliographic Details
Main Authors: Yan He, Xiaoyu Wang, Na Liu
Format: Dataset
Language:English
Published: Science Data Bank 2021
Subjects:
Pacific Arctic Ocean
Physical Oceanography
2016
Earth science
Arctic
Arctic Ocean
Pacific
Pacific Arctic
Online Access:https://doi.org/10.11922/sciencedb.00591
id ftsciendatabank:10.11922/sciencedb.00591
record_format openpolar
spelling ftsciendatabank:10.11922/sciencedb.00591 2023-05-15T14:33:41+02:00 Oceanographic data collected within the Pacific Arctic Ocean by the Russia and China cruises in the summer of 2016 Yan He Xiaoyu Wang Na Liu 2021-01-29 https://doi.org/10.11922/sciencedb.00591 en eng Science Data Bank doi:10.11922/sciencedb.00591 PUBLIC https://creativecommons.org/licenses/by/4.0/ CC-BY Pacific Arctic Ocean Physical Oceanography 2016 Earth science dataset 2021 ftsciendatabank https://doi.org/10.11922/sciencedb.00591 2022-01-08T14:27:49Z The dataset includes two types of hydrological data, CTD and XCTD, obtained from two expeditions in the Pacific Ocean Sector of the Arctic Ocean in 2016 summer, consisting of 94 CTD data and 24 XCTD data on Xuelong R/V from China, and 43 CTD data and 13 XCTD data on Akademik M.A. Lavrentyev R/V from Russia. The dataset could be used to analyze the hydrological environmental characteristics of the Pacific-Arctic Ocean in 2016. Dataset Arctic Arctic Ocean Pacific Arctic Science Data Bank (ScienceDB) Arctic Arctic Ocean Pacific
institution Open Polar
collection Science Data Bank (ScienceDB)
op_collection_id ftsciendatabank
language English
topic Pacific Arctic Ocean
Physical Oceanography
2016
Earth science
spellingShingle Pacific Arctic Ocean
Physical Oceanography
2016
Earth science
Yan He
Xiaoyu Wang
Na Liu
Oceanographic data collected within the Pacific Arctic Ocean by the Russia and China cruises in the summer of 2016
topic_facet Pacific Arctic Ocean
Physical Oceanography
2016
Earth science
description The dataset includes two types of hydrological data, CTD and XCTD, obtained from two expeditions in the Pacific Ocean Sector of the Arctic Ocean in 2016 summer, consisting of 94 CTD data and 24 XCTD data on Xuelong R/V from China, and 43 CTD data and 13 XCTD data on Akademik M.A. Lavrentyev R/V from Russia. The dataset could be used to analyze the hydrological environmental characteristics of the Pacific-Arctic Ocean in 2016.
format Dataset
author Yan He
Xiaoyu Wang
Na Liu
author_facet Yan He
Xiaoyu Wang
Na Liu
author_sort Yan He
title Oceanographic data collected within the Pacific Arctic Ocean by the Russia and China cruises in the summer of 2016
title_short Oceanographic data collected within the Pacific Arctic Ocean by the Russia and China cruises in the summer of 2016
title_full Oceanographic data collected within the Pacific Arctic Ocean by the Russia and China cruises in the summer of 2016
title_fullStr Oceanographic data collected within the Pacific Arctic Ocean by the Russia and China cruises in the summer of 2016
title_full_unstemmed Oceanographic data collected within the Pacific Arctic Ocean by the Russia and China cruises in the summer of 2016
title_sort oceanographic data collected within the pacific arctic ocean by the russia and china cruises in the summer of 2016
publisher Science Data Bank
publishDate 2021
url https://doi.org/10.11922/sciencedb.00591
geographic Arctic
Arctic Ocean
Pacific
geographic_facet Arctic
Arctic Ocean
Pacific
genre Arctic
Arctic Ocean
Pacific Arctic
genre_facet Arctic
Arctic Ocean
Pacific Arctic
op_relation doi:10.11922/sciencedb.00591
op_rights PUBLIC
https://creativecommons.org/licenses/by/4.0/
op_rightsnorm CC-BY
op_doi https://doi.org/10.11922/sciencedb.00591
_version_ 1766306899920158720

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