Create python notebook to explore processed NOM data

NOM_visualizations/README.md

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+# Exploring NOM Metadata and Visualization via the NMDC Runtime API
+
+This folder includes two notebooks (in R and Python) that demonstrate how metadata from natural organic matter (NOM) can be gathered via the [NMDC-runtime API](https://api.microbiomedata.org/docs) and analyzed.
+
+## Python
+- [Static rendered Jupyter notebook](https://nbviewer.org/github/microbiomedata/nmdc_notebooks/blob/33-create-python-notebook-to-explore-processed-data-for-a-second-omics-data-type/NOM_visualizations/python/nom_data.ipynb). _Viewing only, not editable_
+- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/microbiomedata/nmdc_notebooks/blob/33-create-python-notebook-to-explore-processed-data-for-a-second-omics-data-type/NOM_visualizations/python/nom_data.ipynb).This is the recommended way to interact with the notebook. _You need a google account to use this option_
+- [ReviewNB](https://app.reviewnb.com/microbiomedata/nmdc_notebooks/blob/33-create-python-notebook-to-explore-processed-data-for-a-second-omics-data-type/NOM_visualizations%2Fpython%2Fnom_data.ipynb)