Bronze level automatically awarded US beta
This data has achieved Bronze level on 22 October 2015 which means this data makes a great start at the basics of publishing open data.
This map layer shows polygons of average annual precipitation in the contiguous United States, for the climatological period 1990-2009. Parameter-elevation Regressions on Independent Slopes Model (PRISM) derived raster data is the underlying data set from which the polygons and vectors were created. PRISM is an analytical model that uses point data and a digital elevation model (DEM) to generate gridded estimates of annual, monthly and event-based climatic parameters.
http://catalog.data.gov/dataset/united-states-average-annual-precipitation-1990-2009-direct-download Do you think this data is incorrect? Let us know
U.S. Geological Survey, Department of the Interior Do you think this data is incorrect? Let us know
http://catalog.data.gov/dataset/united-states-average-annual-precipitation-1990-2009-direct-download Do you think this data is incorrect? Let us know
Creative Commons CCZero Do you think this data is incorrect? Let us know
yes, and the rights are all held by the same person or organisation Do you think this data is incorrect? Let us know
Creative Commons CCZero Do you think this data is incorrect? Let us know
no data about individuals Do you think this data is incorrect? Let us know
http://catalog.data.gov/organization/usgs-gov Do you think this data is incorrect? Let us know
no Do you think this data is incorrect? Let us know
backed up offsite Do you think this data is incorrect? Let us know
http://catalog.data.gov/api/rest/package/united-states-average-annual-precipitation-1990-2009-direct-download Do you think this data is incorrect? Let us know
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http://catalog.data.gov/dataset/united-states-average-annual-precipitation-1990-2009-direct-download Do you think this data is incorrect? Let us know
http://www.data.gov/issue/?media_url=http://catalog.data.gov/dataset/united-states-average-annual-precipitation-1990-2009-direct-download Do you think this data is incorrect? Let us know