Difference between revisions of "Interoperability and Technology/Tech Dive Webinar Series"

From Earth Science Information Partners (ESIP)
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== 12 Nov 2015: Bob Arko on Linked Data ==
 
== 12 Nov 2015: Bob Arko on Linked Data ==
  
== 8 Oct 2015: TBD ==
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== 8 Oct 2015: Raj Pandya on AGU's Thriving Earth Exchange and Sharing Solutions ==
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<!-- Raj Pandya leads AGU's [http://thrivingearthexchange.org/ Thriving Earth Exchange] (TEX) and will discuss the [http://thrivingearthexchange.org/sharing-solutions/ Sharing Solutions] effort they are working on in collaboration with Amazon Web Services (AWS)
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use cloud-computing and Earth and space science to advance solutions to community challenges related to natural resources, climate change and natural hazards.
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AGU's [http://thrivingearthexchange.org/ Thriving Earth Exchange] and, in collaboration with Amazon Web Services, the "[http://thrivingearthexchange.org/sharing-solutions/ Sharing Solutions]" Call for Projects
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-->
  
 
== 13 Aug 2015: Rich Signell on Catalog-driven Workflows for Science ==
 
== 13 Aug 2015: Rich Signell on Catalog-driven Workflows for Science ==

Revision as of 10:29, September 21, 2015

Rants and Raves Webinar Series

An activity of the ESIP IT&I Committee.

10 Dec 2015: TBD

12 Nov 2015: Bob Arko on Linked Data

8 Oct 2015: Raj Pandya on AGU's Thriving Earth Exchange and Sharing Solutions

13 Aug 2015: Rich Signell on Catalog-driven Workflows for Science

WebEx Recordings

Streaming | Download (The talk starts at about 12:30 into the recording.)

Slides

Speaker Deck | PDF

Abstract

"Catalog-driven, reproducible workflows for ocean science: Comparing sea level forecasts along the US Coastline"

Rich Signell

Filipe Fernandes

The USGS Integrated Ocean Observing System (US-IOOS) requires that data providers use standard web services (OPeNDAP+CF, OGC WMS, OGC SOS) for distributing model products and insitu observations. The services are captured in ISO metadata records and searchable via standard catalog services (OGC CSW).

This presentation will demonstrate how to use this system in a reproducible Jupyter Notebook, discovering, accessing and using model and observed water levels along the US Coastline, using a free python environment that can be installed on Mac, Windows and Linux in less than 10 minutes.

11 June 2015: NDS Labs, Matt Turk

Matt is a member of the NDS Labs technical advisory committee and will present NDS Labs as a platform for exploring data services -- enabling the separation of data and its representation, and how NDS Labs is functioning as an emerging platform for such separation.

Slides

PDF