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Subject svn commit: r1563672 - /airavata/README
Date Sun, 02 Feb 2014 17:30:30 GMT
Author: smarru
Date: Sun Feb  2 17:30:29 2014
New Revision: 1563672

fixing the README which was committed with wrong text


Modified: airavata/README
--- airavata/README (original)
+++ airavata/README Sun Feb  2 17:30:29 2014
@@ -1,4 +1,17 @@
-Co-PI Mohan Ramamurthy is the director of Unidata which will bring in expertise in complementary
data management tools to the workflow synthesis center. 
+The Apache Airavata source repositories have moved to git. The Apache Airavata website continues
to remain in Subversion.
-ontent and data management, publishing and collaboration. RAMADDA brings together a number
of concepts and technologies to provide an easy to use but powerful system for publishing,
organizing, discovering, and accessing data and other holdings. The Integrated Data Viewer
(IDV) is a 3D geoscience visualization and analysis tool that gives users the ability to view
and analyze a rich set of geoscience data in an integrated fashion. The IDV brings together
the ability to display and analyze satellite imagery, gridded data (such as numerical weather
prediction model output), surface observations, upper air soundings, NWS NEXRAD Level II and
Level III RADAR data, NOAA National Profiler Network data, and GIS data, all within a unified
interface. The IDV integrates tightly with common scientific data servers (including Unidata’s
TDS) to provide easy access to many real-time and archive datasets. It also provides collaborative
features that enable users to easily share their own data 
 holdings and analysis products with others. Rosetta is a web-based service that provides
an easy, wizard-based interface for data collectors to transform their datalogger generated
ASCII output into Climate and Forecast (CF) compliant netCDF files, complete with metadata
describing what data are contained in the file, the instruments used to collect the data,
and other critical information that otherwise may be lost in one of many dreaded README files.
In the future, Rosetta will be extended to include transformations to and from several data
formats. The initial goal of Rosetta is to transform unstructured ASCII data files of the
type commonly generated by datalogging equipment into the netCDF format, while minimizing
disruption to existing scientific workflows. Once data and metadata are in the netCDF format,
standard tools such as the THREDDS Data Server, IDV, Python, and other analysis packages can
take advantage of these datasets with relative ease. 
+The new source repositories can be accessed as:
+For Read-only: 
+Read-write (for committers): 
+Web View:

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