This dataset is a compilation of several single-beam bathymetry surveys of the Caribbean ocean displaying a wide range of tectonic activity and uneven distribution.
The original data file was compressed with LZMA to save space and make it
possible to upload it to this GitHub repository (see raw/) since there is not
direct download link we could use.
| Summary | |
|---|---|
| File | caribbean-bathymetry.csv.xz |
| Size | 1.3 Mb |
| Version | v2 |
| DOI | https://doi.org/10.5281/zenodo.10631903 |
| License | CC-BY |
| MD5 | md5:79698c447daba7c15011a5528c8fe212 |
| SHA256 | sha256:f90d5d34309df866321676efdea5ef4817fe71534c7190d3b495a33efd2dd20e |
| Source | NOAA NCEI |
| Original license | public domain |
| Processing code | prepare.ipynb |
These are the changes made to the original dataset.
Version 1:
- Convert from MGD77 to a simpler compressed CSV format.
- Retain only the survey ID, coordinates, and depth.
- Cut the data to a slightly smaller region.
Version 2:
- Reduce the region even more to reduce the data size.
- Remove problematic surveys that had systematic errors.
- Remove very dense surveys to reduce data size.
This is a place to format and prepare the original dataset for use in our tutorials and documentation.
We include the source code that prepares the datasets for redistribution by
filtering, standardizing, converting coordinates, compressing, etc.
The goal is to make loading the data as easy as possible (e.g., a single call
to pandas.read_csv or xarray.load_dataset).
Whenever possible, the code also downloads the original data (otherwise the
original data are included in this repository).
💡 Tip: The easiest way to download this dataset is using Pooch, particularly to download straight from the DOI of a release.
See our Contributing Guidelines for information on proposing new datasets and making changes to this repository.
All Python source code is made available under the BSD 3-clause license. You can freely use and modify the code, without warranty, so long as you provide attribution to the authors.
Unless otherwise specified, all data files and figures created by the code are available under the Creative Commons Attribution 4.0 License (CC-BY).
See LICENSE.txt for the full text of each license.
The license for the original data is specified in this README.md file.