Bronze level automatically awarded US beta
This data has achieved Bronze level on 25 October 2015 which means this data makes a great start at the basics of publishing open data.
The Surface Weather Observations (SWO) library is the largest in the Environmental Document Access and Display System (EDADS). It contains hourly weather data from over 700 U.S. locations. There are some forms from before 1920, but almost all are from the late 1920s to the present year. These parameters include ceiling, visibility, weather, sea level pressure, temperature, dewpoint, winds, and altimeter.
http://catalog.data.gov/dataset/surface-airways-observations-project Do you think this data is incorrect? Let us know
National Oceanic and Atmospheric Administration, Department of Commerce Do you think this data is incorrect? Let us know
http://catalog.data.gov/dataset/surface-airways-observations-project 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/noaa-gov Do you think this data is incorrect? Let us know
go out of date but it is timestamped Do you think this data is incorrect? Let us know
backed up offsite Do you think this data is incorrect? Let us know
http://gis.ncdc.noaa.gov/map/viewer/#app=cdo&cfg=cdo&theme=hourly&layers=1 Do you think this data is incorrect? Let us know
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a URL to access the data Do you think this data is incorrect? Let us know
a URL to download the dataset Do you think this data is incorrect? Let us know
http://catalog.data.gov/dataset/surface-airways-observations-project Do you think this data is incorrect? Let us know
http://www.data.gov/issue/?media_url=http://catalog.data.gov/dataset/surface-airways-observations-project Do you think this data is incorrect? Let us know