add orcid to authors in notebooks

PACEHackWeek · Sep 6, 2024 · 731fadb · 731fadb
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diff --git a/intro.md b/intro.md
@@ -45,3 +45,13 @@ Do `pip install ghp-import` if needed. Then build book and push to GitHub. Set P
 jupyter-book build . --keep-going
 ghp-import -n -p -f _build/html
 ```
+
+**To build pdf**
+
+```
+sudo apt-get install texlive-latex-extra \
+                     texlive-fonts-extra \
+                     texlive-xetex latexmk
+jupyter-book build . --builder pdflatex
+```
+
diff --git a/notebooks/Multi_sat_compare.ipynb b/notebooks/Multi_sat_compare.ipynb
@@ -7,9 +7,7 @@
    "source": [
     "# Download Chl-a products of multiple sources and make regional plots\n",
     "\n",
-    "**Author:** Jiaxu Zhang (UW, NOAA, [email protected])\n",
-    "\n",
-    "## Summary\n",
+    "**Author:** Jiaxu Zhang[![](orcid.png)](https://orcid.org/0000-0002-8564-3026) (UW, NOAA, [email protected])\n",
     "\n",
     "This tutorial demonstrates how to download chlorophyll-a concentration products from various satellites and create regional plots at publication quality.\n",
     "\n",
@@ -3221,7 +3219,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,

diff --git a/notebooks/PACE_Cyano.ipynb b/notebooks/PACE_Cyano.ipynb
@@ -6,14 +6,15 @@
    "source": [
     "# Exploring PACE's Role in Cyanobacteria Detection\n",
     "\n",
-    "**Author**: Bingqing Liu (University of Louisiana Lafayette)"
+    "**Author**: Bingqing Liu[![](orcid.png)](https://orcid.org/0000-0003-4651-6996)  (University of Louisiana Lafayette)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Preliminary Findings and Discussion\n",
+    "This tutorial will show you how to use HypterCoast to explore the spectra of a cyanobacteria bloom. We will use blooms in the Gulf of Mexico as an example.\n",
+    "\n",
     "![](https://i.imgur.com/uFDVyii.png)\n",
     "\n",
     "#### What is HyperCoast?\n",
@@ -1089,7 +1090,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## What you can do next about Cyanobacteria using PACE???\n",
+    "## What you can do next about Cyanobacteria using PACE?\n",
     "\n",
     "Spectral Angle Mapper: Spectral similarity \n",
     "Input: library of Cyanobacteria bloom Rrs spectra with Chla at different levels\n",
@@ -1098,6 +1099,13 @@
     "\n",
     "![](https://i.imgur.com/xLaLMA4.png)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -1116,7 +1124,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,

diff --git a/notebooks/POC_data_manipulation.ipynb b/notebooks/POC_data_manipulation.ipynb
@@ -7,7 +7,11 @@
    "source": [
     "# PACE data simple manipulation\n",
     "\n",
-    "**Author:** Rui Jin (University of Washington (CICOES))\n"
+    "**Author:** Rui Jin[![](orcid.png)](https://orcid.org/0000-0001-9853-127X)  (University of Washington (CICOES))\n",
+    "\n",
+    "This tutorial will show you how to do basic data manipulations on Level-3 (gridded) PACE data that you have accessed with `earthaccess`.\n",
+    "\n",
+    "First load the libraries."
    ]
   },
   {
@@ -25,6 +29,16 @@
     "import numpy as np"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "233598cd-b881-4c35-b735-d157d3a33fb4",
+   "metadata": {},
+   "source": [
+    "## Find PACE data\n",
+    "\n",
+    "Authenticate to NASA Earth Data using `earthaccess` and then load a month of data on particulate organic carbon (POC)."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 5,
@@ -96,6 +110,16 @@
     "paths = earthaccess.open(results)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "44a1f60e-0ff3-48c1-a515-1db53b978215",
+   "metadata": {},
+   "source": [
+    "## Load data\n",
+    "\n",
+    "We can load the data using xarray and then select a single array."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 7,
@@ -1369,7 +1393,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,

diff --git a/notebooks/Regrid_PACE_and_other_satellites.ipynb b/notebooks/Regrid_PACE_and_other_satellites.ipynb
@@ -5,16 +5,10 @@
    "id": "d9369c07-7de4-4d75-9687-7fabe21d8754",
    "metadata": {},
    "source": [
-    "# PACE Toolkit project group\n",
+    "# Re-gridding PACE data\n",
+    "**Author:** Thiago Nobrega (University of Sao Paulo)\n",
     "\n",
-    "**Regrid notebook by:** Thiago Nobrega (USP)\n",
-    "\n",
-    "## Learning Objectives\n",
-    "\n",
-    "At the end of this notebook you will :\n",
-    "\n",
-    "* Know how to regrid Level 3 data from differents satellites images to match the grid from PACE OCI data\n",
-    "* Visualize exemples of regridded data from the instruments ABI-GOES, VIIRS, MODIS and OCLI"
+    "This tutorial will show you how to regrid Level-3 data from different satellites images to match the grid from PACE OCI data. I show you to visualize the regridded data from the instruments ABI-GOES, VIIRS, MODIS and OCLI."
    ]
   },
   {
@@ -2468,7 +2462,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,

diff --git a/notebooks/matchup_tracks.ipynb b/notebooks/matchup_tracks.ipynb
@@ -6,14 +6,14 @@
    "source": [
     "# Matchup satellite data to ship, glider, or animal tracks\n",
     "\n",
-    "**Author:** Eli Holmes (NOAA Fisheries) based off [this](https://github.com/coastwatch-training/CoastWatch-Tutorials/blob/main/matchup-satellite-data-to-track-locations/Python/satellite_matchups_to_track_locations_xarray.ipynb) CoastWatch tutorial.\n"
+    "**Author:** Eli Holmes[![](orcid.png)](https://orcid.org/0000-0001-9128-8393) (NOAA Fisheries)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "In this tutorial you will extract PACE data around a set of points defined by longitude, latitude, and time coordinates, like that produced by an animal telemetry tag, and ship track, or a glider tract.\n",
+    "In this tutorial you will extract PACE data around a set of points defined by longitude, latitude, and time coordinates, like that produced by an animal telemetry tag, and ship track, or a glider tract. This tutorial is based off [this](https://github.com/coastwatch-training/CoastWatch-Tutorials/blob/main/matchup-satellite-data-to-track-locations/Python/satellite_matchups_to_track_locations_xarray.ipynb) CoastWatch tutorial.\n",
     "\n",
     "**Datasets used**\n",
     "\n",
@@ -1471,7 +1471,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,

diff --git a/notebooks/visualize-in-situ-satellite-aerosol.ipynb b/notebooks/visualize-in-situ-satellite-aerosol.ipynb
@@ -7,9 +7,9 @@
    "source": [
     "# Visualization of in-situ, ground-based aerosol measurements with satellite data\n",
     "\n",
-    "**Contributors:** Han Huynh (CU Boulder (CIRES); NOAA Chemical Sciences Laboratory (CSL)), Prem Maheshwarkar (University of Paris Est)\n",
+    "**Contributors:** Han Huynh[![](orcid.png)](https://orcid.org/0000-0002-2467-7134) (CU Boulder (CIRES); NOAA Chemical Sciences Laboratory (CSL)), Prem Maheshwarkar[![](orcid.png)](https://orcid.org/0000-0001-6708-7460) (University of Paris Est)\n",
     "\n",
-    "*Image courtesy of Chelsea Thompson (NOAA CSL), Charles Brock (NOAA CSL), Adam Ahern (NOAA CSL)*"
+    "This notebook shows and example of visualizing ground-based and satellite data together.\n"
    ]
   },
   {
@@ -18,7 +18,8 @@
    "id": "09fc1438-2d56-4bc6-8a03-d535c5790736",
    "metadata": {},
    "source": [
-    "![Aerosol_instr_graph.png](Aerosol_instr_graph.png)"
+    "![Aerosol_instr_graph.png](Aerosol_instr_graph.png)\n",
+    "*Image courtesy of Chelsea Thompson (NOAA CSL), Charles Brock (NOAA CSL), Adam Ahern (NOAA CSL)*"
    ]
   },
   {
@@ -2555,7 +2556,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,