Long-Term Spatiotemporal Oceanographic Data from the Northeast Pacific Ocean: 1980–2022 Reconstruction Based on the Korea Oceanographic Data Center (KODC) Dataset
The Korea Oceanographic Data Center (KODC), overseen by the National Institute of Fisheries Science (NIFS), is a pivotal hub for collecting, processing, and disseminating marine science data. By digitizing and subjecting observational data to rigorous quality control, the KODC ensures accurate infor...
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MDPI AG
2023-11-01
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Online Access: | https://www.mdpi.com/2306-5729/8/12/175 |
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author | Seong-Hyeon Kim Hansoo Kim |
author_facet | Seong-Hyeon Kim Hansoo Kim |
author_sort | Seong-Hyeon Kim |
collection | DOAJ |
description | The Korea Oceanographic Data Center (KODC), overseen by the National Institute of Fisheries Science (NIFS), is a pivotal hub for collecting, processing, and disseminating marine science data. By digitizing and subjecting observational data to rigorous quality control, the KODC ensures accurate information in line with international standards. The center actively engages in global partnerships and fosters marine data exchange. A wide array of marine information is provided through the KODC website, including observational metadata, coastal oceanographic data, real-time buoy records, and fishery environmental data. Coastal oceanographic observational data from 207 stations across various sea regions have been collected biannually since 1961. This dataset covers 14 standard water depths; includes essential parameters, such as temperature, salinity, nutrients, and pH; serves as the foundation for news, reports, and analyses by the NIFS; and is widely employed to study seasonal and regional marine variations, with researchers supplementing the limited data for comprehensive insights. The dataset offers information for each water depth at a 1 m interval over 1980–2022, facilitating research across disciplines. Data processing, including interpolation and quality control, is based on MATLAB. These data are classified by region and accessible online; hence, researchers can easily explore spatiotemporal trends in marine environments. |
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format | Article |
id | doaj.art-9dafe908312347efab982420f42ad8f6 |
institution | Directory Open Access Journal |
issn | 2306-5729 |
language | English |
last_indexed | 2024-03-08T20:51:57Z |
publishDate | 2023-11-01 |
publisher | MDPI AG |
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spelling | doaj.art-9dafe908312347efab982420f42ad8f62023-12-22T14:02:35ZengMDPI AGData2306-57292023-11-0181217510.3390/data8120175Long-Term Spatiotemporal Oceanographic Data from the Northeast Pacific Ocean: 1980–2022 Reconstruction Based on the Korea Oceanographic Data Center (KODC) DatasetSeong-Hyeon Kim0Hansoo Kim1Marine Domain and Security Research Department, Korea Institute of Ocean Science & Technology (KIOST), Busan 49111, Republic of KoreaMarine Domain and Security Research Department, Korea Institute of Ocean Science & Technology (KIOST), Busan 49111, Republic of KoreaThe Korea Oceanographic Data Center (KODC), overseen by the National Institute of Fisheries Science (NIFS), is a pivotal hub for collecting, processing, and disseminating marine science data. By digitizing and subjecting observational data to rigorous quality control, the KODC ensures accurate information in line with international standards. The center actively engages in global partnerships and fosters marine data exchange. A wide array of marine information is provided through the KODC website, including observational metadata, coastal oceanographic data, real-time buoy records, and fishery environmental data. Coastal oceanographic observational data from 207 stations across various sea regions have been collected biannually since 1961. This dataset covers 14 standard water depths; includes essential parameters, such as temperature, salinity, nutrients, and pH; serves as the foundation for news, reports, and analyses by the NIFS; and is widely employed to study seasonal and regional marine variations, with researchers supplementing the limited data for comprehensive insights. The dataset offers information for each water depth at a 1 m interval over 1980–2022, facilitating research across disciplines. Data processing, including interpolation and quality control, is based on MATLAB. These data are classified by region and accessible online; hence, researchers can easily explore spatiotemporal trends in marine environments.https://www.mdpi.com/2306-5729/8/12/175Korea Oceanographic Data Center (KODC)Northeast Pacific Oceandata reconstructionwater temperaturesalinity |
spellingShingle | Seong-Hyeon Kim Hansoo Kim Long-Term Spatiotemporal Oceanographic Data from the Northeast Pacific Ocean: 1980–2022 Reconstruction Based on the Korea Oceanographic Data Center (KODC) Dataset Data Korea Oceanographic Data Center (KODC) Northeast Pacific Ocean data reconstruction water temperature salinity |
title | Long-Term Spatiotemporal Oceanographic Data from the Northeast Pacific Ocean: 1980–2022 Reconstruction Based on the Korea Oceanographic Data Center (KODC) Dataset |
title_full | Long-Term Spatiotemporal Oceanographic Data from the Northeast Pacific Ocean: 1980–2022 Reconstruction Based on the Korea Oceanographic Data Center (KODC) Dataset |
title_fullStr | Long-Term Spatiotemporal Oceanographic Data from the Northeast Pacific Ocean: 1980–2022 Reconstruction Based on the Korea Oceanographic Data Center (KODC) Dataset |
title_full_unstemmed | Long-Term Spatiotemporal Oceanographic Data from the Northeast Pacific Ocean: 1980–2022 Reconstruction Based on the Korea Oceanographic Data Center (KODC) Dataset |
title_short | Long-Term Spatiotemporal Oceanographic Data from the Northeast Pacific Ocean: 1980–2022 Reconstruction Based on the Korea Oceanographic Data Center (KODC) Dataset |
title_sort | long term spatiotemporal oceanographic data from the northeast pacific ocean 1980 2022 reconstruction based on the korea oceanographic data center kodc dataset |
topic | Korea Oceanographic Data Center (KODC) Northeast Pacific Ocean data reconstruction water temperature salinity |
url | https://www.mdpi.com/2306-5729/8/12/175 |
work_keys_str_mv | AT seonghyeonkim longtermspatiotemporaloceanographicdatafromthenortheastpacificocean19802022reconstructionbasedonthekoreaoceanographicdatacenterkodcdataset AT hansookim longtermspatiotemporaloceanographicdatafromthenortheastpacificocean19802022reconstructionbasedonthekoreaoceanographicdatacenterkodcdataset |