Update README.md

PCMDI · Dec 1, 2021 · a7fd248 · a7fd248
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diff --git a/doc/jupyter/Demo/README.md b/doc/jupyter/Demo/README.md
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 The notebooks listed below contain command line examples that can be copied from the notebook, customized, and run in the terminal. These commands are found in cells with a *%%bash* header.
 
 ## What's in the notebooks
-[Demo 0](https://github.com/PCMDI/pcmdi_metrics/blob/main/doc/jupyter/Demo/Demo_0_download_data.ipynb): Set data and output directories. Download sample data and use cdscan to create xml. Generate parameter files.
-[Demo 1](https://github.com/PCMDI/pcmdi_metrics/blob/main/doc/jupyter/Demo/Demo_1_mean_climate.ipynb): Run the Mean Climate driver and explore the many options for customization.
-[Demo 1a](https://github.com/PCMDI/pcmdi_metrics/blob/main/doc/jupyter/Demo/Demo_1a_compute_climatologies.ipynb): Learn how to create annual climatology files for running the mean climate driver with custom data.
-[Demo 2a](https://github.com/PCMDI/pcmdi_metrics/blob/main/doc/jupyter/Demo/Demo_2a_monsoon_wang.ipynb): Run the Monsoon (Wang) driver and its options.
-[Demo 2b](https://github.com/PCMDI/pcmdi_metrics/blob/main/doc/jupyter/Demo/Demo_2b_monsoon_sperber.ipynb): Run the Monsoon (Sperber) driver with options. Maps the monsoon regions and displays output graphic.
-[Demo 3](https://github.com/PCMDI/pcmdi_metrics/blob/main/doc/jupyter/Demo/Demo_3_diurnal_cycle.ipynb): Demonstrates the full workflow for running the Diurnal Cycle metrics.
-[Demo 4](https://github.com/PCMDI/pcmdi_metrics/blob/main/doc/jupyter/Demo/Demo_4_modes_of_variability.ipynb): Install scipy and eofs in the kernel environment, run the modes of variability driver with the NAM, and view an output image.
-[Demo 5](https://github.com/PCMDI/pcmdi_metrics/blob/main/doc/jupyter/Demo/Demo_5_mjo_metrics.ipynb): Run the MJO driver with options and view an output image.
-[Demo 6](https://github.com/PCMDI/pcmdi_metrics/blob/main/doc/jupyter/Demo/Demo_6_ENSO.ipynb): Demonstrates how to run the three metrics collections in the ENSO metrics package.
+- [Demo 0](https://github.com/PCMDI/pcmdi_metrics/blob/main/doc/jupyter/Demo/Demo_0_download_data.ipynb): Set data and output directories. Download sample data and use cdscan to create xml. Generate parameter files.
+- [Demo 1a](https://github.com/PCMDI/pcmdi_metrics/blob/main/doc/jupyter/Demo/Demo_1a_compute_climatologies.ipynb): Learn how to create annual climatology files for running the mean climate driver with custom data.
+- [Demo 1b](https://github.com/PCMDI/pcmdi_metrics/blob/main/doc/jupyter/Demo/Demo_1_mean_climate.ipynb): Run the Mean Climate driver and explore the many options for customization.
+- [Demo 2a](https://github.com/PCMDI/pcmdi_metrics/blob/main/doc/jupyter/Demo/Demo_2a_monsoon_wang.ipynb): Run the Monsoon (Wang) driver and its options.
+- [Demo 2b](https://github.com/PCMDI/pcmdi_metrics/blob/main/doc/jupyter/Demo/Demo_2b_monsoon_sperber.ipynb): Run the Monsoon (Sperber) driver with options. Maps the monsoon regions and displays output graphic.
+- [Demo 3](https://github.com/PCMDI/pcmdi_metrics/blob/main/doc/jupyter/Demo/Demo_3_diurnal_cycle.ipynb): Demonstrates the full workflow for running the Diurnal Cycle metrics.
+- [Demo 4](https://github.com/PCMDI/pcmdi_metrics/blob/main/doc/jupyter/Demo/Demo_4_modes_of_variability.ipynb): Install scipy and eofs in the kernel environment, run the modes of variability driver with the NAM, and view an output image.
+- [Demo 5](https://github.com/PCMDI/pcmdi_metrics/blob/main/doc/jupyter/Demo/Demo_5_mjo_metrics.ipynb): Run the MJO driver with options and view an output image.
+- [Demo 6](https://github.com/PCMDI/pcmdi_metrics/blob/main/doc/jupyter/Demo/Demo_6_ENSO.ipynb): Demonstrates how to run the three metrics collections in the ENSO metrics package.