Merge pull request #7 from ProjectPythia/add_contributors

add contributors and other supporting pythia files

CITATION.cff

@@ -0,0 +1,20 @@
+cff-version: 1.2.0
+message: "If you use this cookbook, please cite it as below."
+authors:
+  # add additional entries for each author -- see https://github.com/citation-file-format/citation-file-format/blob/main/schema-guide.md
+  - family-names: Cherukuru
+    given-names: Nihanth
+    website: https://github.com/NihanthCW # optional
+    affiliation: National Center for Atmospheric Research # optional
+  - family-names: Jarosynski
+    given-names: Stanislaw 'Stas'
+    website: https://github.com/StasJ # optional
+    affiliation: National Center for Atmospheric Research # optional
+  - family-names: Austin
+    given-names: Philip
+    website: https://github.com/phaustin # optional
+    affiliation: University of British Columbia # optional
+  - name: "VAPOR python cookbook contributors" # use the 'name' field to acknowledge organizations
+    website: "https://github.com/ProjectPythia/vapor-python-cookbook/graphs/contributors"
+title: "This Cookbook"
+abstract: "The Visualization and Analysis Platform for Ocean, Atmosphere, and Solar Researchers (VAPOR) provides an interactive 3D visualization environment for exploratory visual analysis and the production of captivating animations and high-quality images. VAPOR runs on most UNIX and Windows systems equipped with modern 3D graphics cards. "

README.md

@@ -3,6 +3,7 @@
 # VAPOR Python Cookbook
 
 [![nightly-build](https://github.com/ProjectPythia/cookbook-template/actions/workflows/nightly-build.yaml/badge.svg)](https://github.com/ProjectPythia/cookbook-template/actions/workflows/nightly-build.yaml)
+[![DOI](https://zenodo.org/badge/656355302.svg)](https://zenodo.org/badge/latestdoi/656355302)
 
 This Project Pythia Cookbook provides an overview of the VAPOR Python API with example workflows. 
 

_gallery_info.yml

@@ -0,0 +1,10 @@
+thumbnail: thumbnail.png
+tags:
+  domains:
+    - weather
+    - climate
+    - 3D visualizations
+    - particles
+  packages:
+    - xarray
+    - numpy

_toc.yml

@@ -1,6 +1,10 @@
 format: jb-book
 root: README
 parts:
+  - caption: Preamble
+    chapters:
+      - file: notebooks/how-to-cite
+
   - caption: Foundations of VAPOR Python
     chapters:
       - file: notebooks/dataset_example

notebooks/how-to-cite.md

@@ -0,0 +1,7 @@
+# How to Cite This Cookbook
+
+The material in Project Pythia's VAPOR python cookbook is licensed for free and open consumption and reuse. All code is served under [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0), while all non-code content is licensed under [Creative Commons BY 4.0 (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/). Effectively, this means you are free to share and adapt this material so long as you give appropriate credit to the Cookbook authors and the Project Pythia community.
+
+The source code for the book is [released on GitHub](https://github.com/ProjectPythia/vapor-python-cookbook) and archived on Zenodo. This DOI will always resolve to the latest release of the book source:
+
+[![DOI](https://zenodo.org/badge/656355302.svg)](https://zenodo.org/badge/latestdoi/656355302)