This package provides functions and workflows for standardizing geophysical datasets based on the NetCDF file format. The current implementation supports both time and frequency domain electromagnetic data, raw and processed, 1-D inverted models along flight lines, and 2-D/3-D gridded layers.
If you use this software to generate gspy conformant data we suggest citing the software itself.
Foks, N.L., James, S. R., and Minsely, B. J. 2022. GSPy: Geophysical Data Standard in Python. U.S. Geological Survey software release. doi:10.5066/P9XNQVGQ
The manuscript accompanying this software release defining the standard itself you can also cite the following.
James, S. R., Foks, N.L., and Minsely, B. J. 2022. GSPy: A new toolbox and data standard for Geophysical Datasets. Frontiers in Earth Science. 10. doi:10.3389/feart.2022.907614
- Standardize a geophysical data format based on the CF convention and NetCDF.
- Restructure raw and processed data, or model, products into a consistent format for release.
- Document metadata pertinent to geophysical dataset release.
- Develop tools for processing data and preparing data for inversion.
- Develop exploratory tools to interrogate data.
Datasets are read from a variety of original formats (CSV, ASEG-GDF, TIF) and reconfigured to follow a NetCDF based data standard, which includes detailed metadata:
- All variables have detailed attributes (units, null values, data format).
- Contains supporting information on the airborne survey, data collection, and modeling parameters.
- Standardized coordinate reference system (CRS) variables for maximum portability to other GIS software (QGIS, ArcGIS, etc).
- Inputs with different CRSs are reprojected to be consistent for a given survey.
pip install gspy