pymt_dbseabed is a package that uses the bmi_dbseabed pacakge to convert dbSEABED datasets into a reusable, plug-and-play data component for PyMT modeling framework developed by Community Surface Dynamics Modeling System (CSDMS). This allows dbSEABED datasets to be easily coupled with other datasets or models that expose a Basic Model Interface.
Installing pymt from the conda-forge channel can be achieved by adding conda-forge to your channels with:
conda config --add channels conda-forge
Note: Before installing pymt, you may want to create a separate environment into which to install it. This can be done with,
conda create -n pymt python=3 conda activate pymt
Once the conda-forge channel has been enabled, pymt can be installed with:
conda install pymt
It is possible to list all of the versions of pymt available on your platform with:
conda search pymt --channel conda-forge
** Please make sure to install python=3.11, model_metadata=v0.7, gimli=v0.2.4, gimli.units=0.3.0. Otherwise, you may encounter import error for pymt_dbseabed.
To install pymt_dbseabed, use pip
pip install pymt_dbseabed
or conda
conda install -c conda-forge pymt_dbseabed
Please include the following references when citing this software package:
Gan, T., Tucker, G.E., Hutton, E.W.H., Piper, M.D., Overeem, I., Kettner, A.J., Campforts, B., Moriarty, J.M., Undzis, B., Pierce, E., McCready, L., 2024: CSDMS Data Components: data–model integration tools for Earth surface processes modeling. Geosci. Model Dev., 17, 2165–2185. https://doi.org/10.5194/gmd-17-2165-2024
Gan, T. (2025). PyMT plugin for CSDMS dbSEABED Data Component. Zenodo. https://doi.org/10.5281/zenodo.15022017
You can learn more details about the coding example from the tutorial notebook.