found a few typos and fixed them.

Author: saberbrasher

_quarto.yml

@@ -46,19 +46,19 @@ website:
       - section: "Working with Data"
         # href: reference-guides/working-with-data-overview.qmd
         contents:
-          - section: "Finding and accessing Data"
+          - section: "Finding / accessing data"
             contents:
               - text: "Data search and discovery"
                 href: reference-guides/dataset-search-and-discovery.qmd
               - text: "Data access"
                 href: reference-guides/data-access.qmd
-          - section: "Wrangling Data"
+          - section: "Wrangling data"
             contents:
               - text: "Subsetting"
               - text: "Reformatting"
               - text: "Reprojecting"
               - text: "Resampling"
-          - section: "Visualizing Data"
+          - section: "Visualizing data"
             contents:
               - text: "Plotting data - time series, scatter plots"
               - text: "Plotting data on a map"
@@ -69,11 +69,11 @@ website:
           - section: "Search for data"
           - section: "Access data"
           - section: "Reproject data"
-          - section: "Work with NetCDF files?"
+          - section: "Work with NetCDF files"
             contents:
-            - text: "get the bounding box of a netcdf file"
+            - text: "Get the bounding box of a NetCDF file"
               href: how-to-guides/netcdf_cf.qmd
-            - text: "get the latitude and longitudes for grid cells"
+            - text: "Get the latitude and longitudes for grid cells"
               href: how-to-guides/get_latitude_and_longitude.qmd
       - section: "Tutorials / Workshops"
         href: tutorials/tutorials_overview.qmd
@@ -84,6 +84,7 @@ website:
             href: tutorials/working_with_icesat2_sea_ice_data.ipynb
       - section: "Appendices"
         contents:
+          - text: "Contributing"
           - text: "Best Practices"
           - text: "What is an API?"
 

how-to-guides/netcdf_cf.qmd

@@ -1,5 +1,5 @@
 ---
-title: "How do I get the bounding box of a NetCDF file in latitude and longitude?"
+title: "How to get the bounding box of a NetCDF file in latitude and longitude"
 author: Andrew P. Barrett
 date: last-modified
 ---

how-to-guides/overview.qmd

@@ -1,6 +1,5 @@
 ---
 title: "How-To Guides"
-author: Andy P. Barrett
 ---
 
 ## Introduction
@@ -15,9 +14,10 @@ a workflow.
 
 How-To Guides are organized into the following sections:
 
-- How do I search for data (via `earthaccess`); 
-- How do I accessing data (via `earthaccess`);
-- How do I reproject and resample data;
-- How do I work with CF-compliant NetCDF files
-  - [How do I get the bounding box of a NetCDF file in latitude and longitude?](netcdf_cf.qmd)
+- How to search for data (via `earthaccess`); 
+- How to access data (via `earthaccess`);
+- How to reproject and resample data;
+- How to work with CF-compliant NetCDF files:
+  - [How to get the bounding box of a NetCDF file in latitude and longitude](netcdf_cf.qmd)
+  - [How to get latitude and longitude for the grid cells of a NetCDF file](get_latitude_and_longitude.qmd)
 

index.qmd

@@ -9,15 +9,15 @@ author: NSIDC
 > the book and its content are expected. We are striving to develop content
 > that is well-tested and peer-reviewed, but nothing contained here should be
 > expected to work correctly (or at all!) in this early phase.  Many sections contain only an outline of the content.
-> These sections will have content added at the project develops.
+> These sections will have content added as the project develops.
 
 ## Welcome to the NSIDC Data Cookbook! 
 
 This Cookbook for National Snow and Ice Data Center Distributed Active Archive Center ([NSIDC DAAC](https://nsidc.org/data/data-programs/nsidc-daac)) Data is more Julia Child’s “Mastering the Art of French Cooking” than just a collection of recipes (or data tutorials). The aim is to not only provide easy to follow recipes for working with data but also to provide an understanding of the data managed by NSIDC and the tools available to work with the data. It is not an in-depth guide to the many datasets housed by NSIDC but instead is an introduction to the common types of data, file formats and data structures. The hope is that the cookbook will provide a guide and foundataion to help you *master the art of working with cryospheric data*.
 
 ## How to use this cookbook
 
-If you are brand new to NASA or NSIDC data, begin with the **Getting Started** section. Beyond that, the cookbook is divided into four major sections: **NSIDC Data**, **Working with Data**, **How-To Guides**, and **Tutorials / Workshops**. We also include some **Appendices** that include a best practices guide for Python scripting and some background details on computing.
+If you are new to NASA or NSIDC data, begin with the **Getting Started** section. Beyond that, the cookbook is divided into four major sections: **NSIDC Data**, **Working with Data**, **How-To Guides**, and **Tutorials / Workshops**. We also include some **Appendices** that include a best practices guide for Python scripting, some background details on computing, and how to contribute to the cookbook (if you are so inclined!).
 
 The **NSIDC Data** section is an introduction to the types of data managed by NSIDC, the file formats used to store that data, coordinate reference systems and grids comon to NSIDC data, and a guide to NASA terminology for Earth science data. There is also an introduction to some “quirky” datasets that do not fit more common simple data structures or are just a little more difficult to work with.
 

tutorials/tutorials_overview.qmd

@@ -2,9 +2,9 @@
 title: "Tutorials / Workshops"
 ---
 
-This section of the cookbook contains longer form tutorials providing examples of data search and access within a workflow. NSIDC is frequently involved in hackweeks and workshops as well. Content from some of those events can be found in the [NSIDC Data Tutorials Repository](https://github.com/nsidc/NSIDC-Data-Tutorials).
+This section of the cookbook contains longer form tutorials providing examples of data search and access within a workflow. NSIDC is frequently involved in hackweeks and workshops as well. Content from past events can be found in the [NSIDC Data Tutorials Repository](https://github.com/nsidc/NSIDC-Data-Tutorials).
 
-**Current tutorials:**
+**Current cookbook tutorials:**
 
 - [Direct cloud access of ICESat-2 (*ATL06 Land Ice Height*) data](/tutorials/ATL06-direct-access.ipynb): a notebook that demonstrates searching for cloud-hosted ICESat-2 data and directly accessing Land Ice Height (ATL06) granules from an Amazon Compute Cloud (EC2) instance using the `earthaccess` package. 
 - [Download of ICESat-2 (*ATL07 Sea Ice*) data](/tutorials/working_with_icesat2_sea_ice_data.ipynb): a notebook that demonstrates searching for and accessing ICESat-2 data using the Python `earthaccess` package, reading and visualizing the data using `xarray` and `pandas`, and that uses `matplotlib` and `cartopy` to produce a map of search results.