Early Experience Prototyping a Science Data Server for Environmental Data Deb Agarwal (LBL) Catharine van Ingen (MSFT) 25 October 2006.
Challenges for next-gen data mining
Using Azure Machine Learning to Detect Patterns in Data from Devices
NOAA’s NPOESS Data Exploitation (NDE) System Jim Yoe 1, Geof Goodrum 1, Jim Silva 1, Tom Schott 1 1. NOAA/NESDIS Office of Systems Development.
Scanner Characteristics. MODIS Orbit and Scan Geometry Terra: 10:30 am local descending Aqua: 1:30 pm local ascending Orbit period: 99 minutes Repeat.
Progress Report Ian Evans (CXCDS) On behalf of the Chandra Source Catalog Project Team Chandra Users’ Committee Meeting April 9, 2008.
Aquarius/SAC-D Mission Mission Simulators - Gary Lagerloef 6 th Science Meeting; Seattle, WA, USA 19-21 July 2010.
Focus Study: Mining on the Grid with ADaM Sara Graves Sandra Redman Information Technology and Systems Center and Information Technology Research Center.
Ensuring Credibility of NASA’s Earth Science Data Session Title: IN11D. Data Curation, Credibility, Preservation Implementation, and Data Rescue to Enable.
Instant Karma: Accessing Provenance Information for AMSR-E Science Data Products AMSR-E Science Team Meeting 29 June 2011 UAHuntsville The University of.
Progress Report Ian Evans (CXCDS) On behalf of the Chandra Source Catalog Project Team
IMAPP - International MODIS and AIRS Processing Package