Jupyter Notebooks for the soilgrids Data Component

This resource includes two Jupyter Notebooks as a quick start tutorial for the soilgrids Data Component of the PyMT modeling framework (https://pymt.readthedocs.io/en/latest/). The soilgrids Python package provides a set of functions that allows downloading of the global gridded soil information from SoilGrids https://www.isric.org/explore/soilgrids, a system for global digital soil mapping to map the spatial distribution of soil properties across the globe. The soilgrids package also includes a Basic Model Interface (BMI https://bmi.readthedocs.io/en/latest/) that can be used for data/model coupling under the PyMT modeling framework. The pymt_soilgrids Python package uses the BMI of the soilgrids package to convert it into a reusable, plug-and-play data component for PyMT modeling framework. This allows the SoilGrids datasets to be easily coupled with other datasets or models that expose a BMI. HydroShare users can test and run the Jupyter Notebooks (soilgrids.ipynb, pymt_soilgrids.ipynb) directly through the \"CUAHSI JupyterHub\" web app with the following steps: - For the new user of the CUAHSI JupyterHub, please first make a request to join the \"CUAHSI Could Computing Group\" (https://www.hydroshare.org/group/156). After approval, the user will gain access to launch the CUAHSI JupyterHub. - Click on the \"Open with\" button. (on the top right corner of the page) - Select \"CUAHSI JupyterHub\" - Select \"CSDMS Workbench\" server option. (Make sure to select the right server option. Otherwise, the notebook won't run correctly.) If there is any question or suggestion about the soilgrids data component, please create a github issue at https://github.com/gantian127/soilgrids/issues