fix typos

Author: JessicaS11

notebooks/01-Data_Resources_Intro.ipynb

@@ -67,7 +67,7 @@
     "\n",
     "### How do you prefer to search for data prior to downloading files?\n",
     "\n",
-    "This is an open-ended question that is intentionally vague. As we gear up for our projects, how do you plan to begin searching for ICESat-2 data? Maybe you're interested in finding repeat ground tracks over an area that you'd like to input as a shapefile. Maybe you're interested in searching for data based on a seasonal date range. Or you want a way to search for ICESat-2 data coincident with another data product. Do you prefer to discover data coverage directly in python, as opposed to a web interface (or visa versa)? \n",
+    "This is an open-ended question that is intentionally vague. As we gear up for our projects, how do you plan to begin searching for ICESat-2 data? Maybe you're interested in finding repeat ground tracks over an area that you'd like to input as a shapefile. Maybe you're interested in searching for data based on a seasonal date range. Or you want a way to search for ICESat-2 data coincident with another data product. Do you prefer to discover data coverage directly in Python, as opposed to a web interface (or visa versa)? \n",
     "\n",
     "These are just some ideas to get you thinking about data discovery.  We will use these responses to focus our OpenAltimetry exercise below. "
    ]
@@ -134,7 +134,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "* Programmatic data accesss: The NSIDC DAAC provides an API to access and customize data. See NSIDC's [Programmatic Access Guide](https://nsidc.org/support/how/how-do-i-programmatically-request-data-services) for more information. The [NSIDC-Data-Access-Notebook](https://github.com/nsidc/NSIDC-Data-Access-Notebook) provides an easy-to-use Jupyter notebook to search and access data programmatically.\n",
+    "* Programmatic data access: The NSIDC DAAC provides an API to access and customize data. See NSIDC's [Programmatic Access Guide](https://nsidc.org/support/how/how-do-i-programmatically-request-data-services) for more information. The [NSIDC-Data-Access-Notebook](https://github.com/nsidc/NSIDC-Data-Access-Notebook) provides an easy-to-use Jupyter notebook to search and access data programmatically.\n",
     "\n",
     "## NASA Earthdata resources\n",
     "\n",
@@ -149,7 +149,7 @@
     "\n",
     "## icepyx\n",
     "\n",
-    "[icepyx](https://github.com/icesat2py/icepyx) is both a software library and a community composed of ICESat-2 data users, developers, and the scientific community. We are working together to develop a shared library of resources - including existing resources, new code, tutorials, and use-cases/examples - that simplify the process of querying, obtaining, analyzing, and manipulating ICESat-2 datasets to enable scientific discovery.\n",
+    "icepyx ([docs](https://icepyx.readthedocs.io/en/latest/), [GitHub](https://github.com/icesat2py/icepyx)) is both a software library and a community composed of ICESat-2 data users, developers, and the scientific community. We are working together to develop a shared library of resources - including existing resources, new code, tutorials, and use-cases/examples - that simplify the process of querying, obtaining, analyzing, and manipulating ICESat-2 datasets to enable scientific discovery.\n",
     "\n",
     "**We will interact with icepyx during Monday's data access tutorial. As an easy to use Python wrapper in front of the CMR and NSIDC API's, our Hackweek will focus on icepyx as the primary method for programmatic data search and access.**\n"
    ]
@@ -188,7 +188,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Explore pre-defined Pine Island Glacier feature (inspiration from [Photon Phriday](https://twitter.com/NASA_ICE/status/1137065615636815872))\n",
+    "### Explore pre-defined Pine Island Glacier (PIG) feature (inspiration from [Photon Phriday](https://twitter.com/NASA_ICE/status/1137065615636815872))\n",
     "\n",
     "https://openaltimetry.org/data/icesat2/?annoId=203\n",
     "\n",
@@ -197,7 +197,7 @@
     "\n",
     "#### Note the following characteristics of the ATLAS instrument:\n",
     "1. Three weak/strong beam pairs\n",
-    "    * Over the date of interest, January 15, 2019, the `gt*l` groups designate the strong beams, wherase the `gt*r` groups designate the weak beams.\n",
+    "    * Over the date of interest, January 15, 2019, the `gt*l` groups designate the strong beams, whereas the `gt*r` groups designate the weak beams.\n",
     "2. Observe the gt1l beam. Can you detect PIG, grounded ice, and iceberg features?\n",
     "3. What other days are captured by the ATLAS instrument over this area? How does the data coverage compare?\n",
     "4. Check out the option to open a Jupyter Notebook in Binder from the Elevation Profile page. OpenAltimetry has an API that can be used to pull in the data stored by OpenAltimetry. Click the \"Get API URL\" link next to the Binder button and copy this into the notebook in order to create a 3d visualization of the data in Python. "

notebooks/02-Data_Access.ipynb

@@ -8,7 +8,7 @@
     "### How to Use the NSIDC Subsetter Example Notebook\n",
     "This notebook illustrates the use of `icepyx` for subsetting ICESat-2 data ordered through the NSIDC DAAC. We'll show how to find out what subsetting options are available and how to specify the subsetting options for your order.\n",
     "\n",
-    "For more information on using `icepyx` to find, order, and download data, see the [ICESat-2_NSIDC-DAAC_DataAccess Tutorial](https://github.com/ICESAT-2HackWeek/data-access/blob/master/notebooks/02-Data_Access.ipynb) or `icepyx`'s complimentary [ICESat-2_DAAC_DataAccess_Example Notebook](https://github.com/icesat2py/icepyx/blob/master/doc/examples/ICESat-2_DAAC_DataAccess_Example.ipynb).\n",
+    "For more information on using `icepyx` to find, order, and download data, see the [02-Data_Access Tutorial](https://github.com/ICESAT-2HackWeek/data-access/blob/master/notebooks/02-Data_Access.ipynb) or `icepyx`'s complimentary [ICESat-2_DAAC_DataAccess_Example Notebook](https://github.com/icesat2py/icepyx/blob/master/doc/examples/ICESat-2_DAAC_DataAccess_Example.ipynb).\n",
     "\n",
     "Questions? Be sure to check out the FAQs throughout this notebook, indicated as italic headings.\n",
     "\n",