Merge pull request #51 from nasa/hydrology-data-rods-edits

Hydrology data rods edits
nasa · Aug 29, 2023 · 959ad86 · 959ad86
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diff --git a/README.md b/README.md
@@ -17,7 +17,7 @@ Most tutorials in this repository take the form of python notebooks. Jupyter is
 |[How to Use the Web Services API for Subsetting ](notebooks/How_To_Use_the_Web_Services_API_for_Subsetting.ipynb) | This example code demonstrates how to use the API to subset GES DISC data collections.  | |
 |[How to Use the Web Services API for Subsetting MERRA-2 Data](notebooks/How_to_Use_the_Web_Services_API_for_Subsetting_MERRA-2_Data.ipynb) | The example code provided below demonstrates three examples on how to use the API to submit an asynchronous request to the GES DISC Subsetting Service in order to obtain subsets of the Modern-Era Retropsective analysis for Research and Applications, Version 2 (MERRA-2). | |
 |[How to Use the Web Services API to Validate Point Measurements ](notebooks/How_to_Use_the_Web_Services_API_to_Validate_Point_Measurements.ipynb) | This notebook demonstrates how to use the GES DISC API to retrieve Level 2 subsets of satellite data for the purpose of validation or comparison to ground-based measurements using Python.  | |
-|[How to Access the Hydrology Data Rods Time Series API](notebooks/How_to_Access_the_Hydrology_Data_Rods_Time_Series_API.ipynb) | This notebook demonstrates how to query GLDAS data from the Hydrology Data Rods Time Series Service using Python. It was demonstrated during the October 26th, 2022 Earthdata Webinar.| |
+|[How to Access the Hydrology Data Rods Time Series API Using Python](notebooks/How_to_Access_the_Hydrology_Data_Rods_API_Using_Python.ipynb) | This notebook describes accessing the Hydrology Data Rods Time Series API using Python.| |
 |[How to find the max precipitation value of a Region of Interest (ROI) using an ArcGIS image service](notebooks/How_to_Find_the_Max_Precipitation_Value_of_a_ROI_Using_an_ArcGIS_Image_Service.ipynb) | This notebook demonstrates how to calculate and view the maximum precipitation rate value from the GPM IMERGHHE ArcGIS Image Service. | |
 |[How to Find and Plot Level 2 Data from Multiple Granules on a Map using Python](notebooks/How_to_Find_and_Plot_Level2_Data_from_Multiple_Granules_on_a_Map_Using_Python.ipynb) | This notebook demonstrates how to aggregate and plot Level 2 granules on a map using Python. | |
 |[How to Remotely Access MERRA-2 with Python3 and Calculate Monthly Average Surface PM2.5 for World Countries](notebooks/How_to_MERRA2_PM25_Monthly.ipynb) | This notebook demonstrates how to access MERRA-2 from the THREDDS Data Server, before calculating monthly average surface PM2.5 values for various world countries. | |

diff --git a/notebooks/How_to_Access_the_Hydrology_Data_Rods_API_Using_Python.ipynb b/notebooks/How_to_Access_the_Hydrology_Data_Rods_API_Using_Python.ipynb
diff --git a/notebooks/How_to_Access_the_Hydrology_Data_Rods_Time_Series_API.ipynb b/notebooks/How_to_Access_the_Hydrology_Data_Rods_Time_Series_API.ipynb