This dataset contains ground gravity observations over the area that comprises the Bushveld Igenous Complex in Southern Africa, including preprocessed gravity fields such as the gravity disturbance and the bouguer gravity disturbance (topography-free gravity disturbance). In addition, the dataset contains the heights of the observation points referenced on the WGS84 reference ellipsoid and over the mean sea-level (what can be considered to be the geoid). This dataset was built upon a portion of the Southern Africa gravity compilation available through NOAA NCEI.
| Summary | |
|---|---|
| File | bushveld-gravity.csv.xz |
| Size | 0.14 Mb |
| Version | v1 |
| DOI | https://doi.org/10.5281/zenodo.6511942 |
| License | CC-BY |
| MD5 | md5:368284cc210c6bbe256e9e49e892f262 |
| SHA256 | sha256:3fc1daf74a2fc3bcc3cf7f72a632518f8c6b6e306ce12fddf4055d7cb44945c8 |
| Source | NOAA NCEI (gravity) and ETOPO1 (topography) |
| Original license | public domain (gravity) and public domain (topography) |
| Processing code | prepare.ipynb |
These are the changes made to the original dataset.
- The original data were cropped to a region bounded by 25 and 32 degrees on longitude and -27 and -23 degrees on latitude.
- Geometric observation heights were obtained by adding geoid heights to the original observation heights referenced on the mean sea-level. The geoid heights on each observation point were obtained by interpolation of the geoid available in doi: 10.5281/zenodo.5882205.
- Gravity disturbances were computed by removing the normal gravity of the WGS84 ellipsoid computed through Boule.
- Bouguer gravity disturbances were computed by forward modelling the topography using Harmonica starting from the topography grid provided in doi: 10.5281/zenodo.6481379 and using densities of 2670 kg/m³ above the ellipsoid and 1040 - 2670 kg/m³ below the ellipsoid.
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.