Data and code accompanying Deriving Tidal Constituent Estimates from GNSS Buoy Data in the Arctic

DOI:10.4121/11fda466-5008-47ec-99e5-19a9f9e1d431.v1
The DOI displayed 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: 10.4121/11fda466-5008-47ec-99e5-19a9f9e1d431

Datacite citation style

Amey Vasulkar (2025): Data and code accompanying Deriving Tidal Constituent Estimates from GNSS Buoy Data in the Arctic. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/11fda466-5008-47ec-99e5-19a9f9e1d431.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This a repository accompanying the paper titled, Deriving Tidal Constituent Estimates from GNSS Buoy Data in the Arctic. This research focusses on developing a novel technique to obtain tidal current constituents from ocean drifting buoy data. This approach is particularly suitable in places like the Arctic where data is limited. In this repo, we provide all the scripts and data generated for the individual results of the paper. The user is encouraged to contact the authors for any discrepancy or any questions faced by them.

History

  • 2025-05-28 first online, published, posted

Publisher

4TU.ResearchData

Format

script/.py spreadsheet/.csv image/.jpg notebook/.ipynb netCDF/.nc script/.sh compiled_script/.pyc image/.png document/.pdf document/.md presentation/.pptx

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft Institute of Applied Mathematics

DATA

Files (1)