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Welcome to the Earth Science Information Partners (ESIP) 2018 Summer Meeting! The 2018 theme is Realizing the Socioeconomic Value of Data. The theme is based on one of the goals in the 2015 - 2020 ESIP Strategic Plan, which provides a framework for ESIP’s activities over the next three years.

All Presentations are being added to a Google Folder temporarily and then will be moved to FigShare and linked to the sessions here. 
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Tuesday, July 17 • 9:30am - 11:00am
Introduction to Jupyter technologies and how they are used in the ESIP community

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You’ve heard a lot about Jupyter. There are Notebooks and Hubs, but what are they? Do they make it easier for you to do or share your work?

Participants in this session will be given an overview on how ESIP members are using the Jupyter Project’s applications to accelerate their own research. This breakout session is intended as an introduction not only to Jupyter applications and their usage in ESIP member organizations. Workshops using the technologies via ESIPhub later in the Meeting will also be discussed. We will hold a ten minute discussion after the presentations on the topics brought up during the talks and how we as a community can use the ESIPhub resource.

Frank Greguska, NASA JPL (15min)
Title: Using Apache Science Data Analytics Platform from Jupyter
Description: Apache Science Data Analytics Platform (SDAP) is an open source Apache Incubator project that, among other things, allows for analysis of scientific data on the cloud. SDAP consists of a collection of webservices that enable science and allow user interaction through Jupyter notebooks. This talk will introduce the Apache SDAP project and walk attendees through some of the algorithms that are available for use.

Tyler Erickson, Google (15min)
Title: Jupyter and Google Earth Engine
Description: Google Earth Engine is a cloud-based geospatial analysis platform that supports analysis of multi-petabyte archives via JavaScript and Python APIs. For users of the JavaScript API. the Earth Engine team maintains an online GUI. For the Python API, we promote the use of Jupyter project tools (JupyterLab, JupyterHub, Jupyter Widgets) for accessing data and developing algorithms.
Presentation: g.co/earth/esip2018-jupyter

John Readey, HDF Group (15min)
Title: HDF Kita Lab
Description: HDF Kita Lab is a Jupyter environment hosted on AWS that provides the ability to easily read and write large HDF datasets.  Users have the ability to utilize HDF Server to access data that would otherwise be too large to copy to the user disk volume.  Data used by HDF Server is stored in AWS S3, which is provides cost-effective and reliable storage.  HDF Kita Lab can be access at: https://hdflab.hdfgroup.org (HDFGroup registration is required).

Rich Signell, USGS (15min)
Title: Jupyter Success Stories from IOOS and USGS
Description: The Integrated Ocean Observing System and the US Geological Survey have been using Jupyter technologies since 2012 to help spread the use of effective and efficient tools across their communities.  These notebooks often demonstrate reproducible workflows based on catalog and data web services and come with reproducible environments made possible by the conda-forge project.  A series of notebooks will be demonstrated, from notebooks demonstrating catalog-driven workflows, to notebooks on binder that appear like web applications.

Keith Maull, NCAR Library (15min)
Title: ESIPHub Pilot | Exploring services and infrastructure to support computational geosciences research and collaboration with JupyterHub
Description: ESIPHub, a JupyterHub-based infrastructure for the ESIP community, is now available and being used within several workshops during the summer meeting.
In this talk, I will discuss the pilot of ESIPHub with UCAR/NCAR's highly successful Research Experiences for Undergraduates (REU) program, SOARS (Significant Opportunities in Atmospheric Research and Science; https://www.soars.ucar.edu). Over the last three years, we have been developing computational workshops to introduced SOARS Protégés to Python, Jupyter, computational thinking and data analysis, and this summer, we piloted ESIPHub within these workshops. I will report on the exciting potential the platform has not only for education and training, but also collaborative research.

Discussion (10)

Learn more about Jupyter and attend the other workshops using ESIPhub:

* Directly after this session is the Metadata Improvement Lab where participants will learn how to translate their xml into JSON-LD using the schema.org vocabulary Google recommends for datasets.
* Wednesday afternoon is a workshop for cloud-based analysis.
* Thursday morning we'll learn about some custom widgets for earth science.

Speakers & Moderators
avatar for Tyler Erickson

Tyler Erickson

Developer Advocate, Google
avatar for Sean Gordon

Sean Gordon

Information Engineer, The HDF Group
Talk to me about the ESIP Labs project, ESIPhub a JupyterHub based shared computational environment for workshops at Meetings.My research focuses on the connections between documentation structures and the evaluation of content for the metadata needs of diverse communities of practice... Read More →
avatar for Frank Greguska

Frank Greguska

Scientific Applications Software Engineer, Jet Propulsion Laboratory, California Institute of Technology

John Readey

Developer, The HDF Group
avatar for Rich Signell

Rich Signell

Research Oceanographer, USGS

Tuesday July 17, 2018 9:30am - 11:00am PDT
  Sabino, Breakout Session