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

From Earth Science Information Partners (ESIP)
(Created page with "= Rants and Raves Webinar Series = An activity of the ESIP IT&I Committee. == 2015 Rants and Raves == === 13 Aug 2015: Rich Signell on Catalog-driven Workflows for Science ...")
 
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Rich Signell
 
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Filipe Fernandes
 
Filipe Fernandes
  
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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.
 
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.
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Matt's [[Media:2015-06-11_ESIP_RantRave_NDSLabs.pdf | Slides]]

Revision as of 18:20, August 11, 2015

Rants and Raves Webinar Series

An activity of the ESIP IT&I Committee.

2015 Rants and Raves

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

"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.

Matt's Slides