Dataset of North Passage Channel Measurements (NP-ChaM)
doi:10.4121/6d4fcaff-6a30-4990-881a-a5ac8ebb1ca6.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
doi: 10.4121/6d4fcaff-6a30-4990-881a-a5ac8ebb1ca6
doi: 10.4121/6d4fcaff-6a30-4990-881a-a5ac8ebb1ca6
Datacite citation style:
Zhou, Zaiyang; Ge, Jianzhong (2024): Dataset of North Passage Channel Measurements (NP-ChaM). Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/6d4fcaff-6a30-4990-881a-a5ac8ebb1ca6.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
categories
geolocation
North Passage, Changjiang Estuary, China
lat (N): ~ 31.217 - 31.241 (N)
lon (E): ~ 122.07 - 122.13 (E)
time coverage
2015-2018
licence
CC BY 4.0
A comprehensive multi-year field campaign, the North Passage Channel Measurements (NP-ChaM), was designed and executed to enhance our understanding of the hydro- and sediment dynamics in the North Passage, the primary navigational channel of the Changjiang Estuary, China. The NP-ChaM campaign comprised eight observational sites and spanned 50 days, distributed over four years, including two dry seasons and two wet seasons. A series of tripod systems, equipped with multiple instruments, were deployed on the seabed to monitor near-bed physical processes reliably.
history
- 2024-09-09 first online, published, posted
publisher
4TU.ResearchData
format
'.csv', '.dat', and '.png'
funding
- National Natural Science Foundation of China (42406161) (grant code 42406161) National Natural Science Foundation of China
- National Natural Science Foundation of China (42476160) (grant code 42476160) National Natural Science Foundation of China
- National Natural Science Foundation of China (41776104) (grant code 41776104) National Natural Science Foundation of China
organizations
East China Normal University, State Key Laboratory of Estuarine and Coastal Research
DATA
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Wind_2018.xlsx -
download all files (zip)
1,539,166,581 bytes unzipped