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.

Potential groundwater sampling sites for installation of a well network for long-term monitoring of agricultural chemicals in the High Plains Aquifer, Colorado

Description

These data are in support of report DS 456 (Arnold and others, 2009). This dataset includes 90 potential groundwater sampling sites randomly generated using techniques described in Scott (1990), composed of 30 locations with a first, second, and third choice of sampling location. Sites are in 30 equal area polygons that divide areas in the High Plains Aquifer in Colorado with a depth to water less than 180 feet, a saturated thickness greater than 50 feet, and underlying irrigated agricultural lands. Input saturated-thickness and depth-to-water data from V.L. McGuire, written communication, 2008. Irrigated agricultural lands from Bauder and others (2004).

General Information

Legal Information

This dataset has been created by US Government which means it is required to be in the public domain. However US copyright law only allows open access by US citizens, we have assumed the data is equivalently licensed as CC0 for the rest of the world as this is in the spirit of the US Government’s Open Data policy.

  • The rights statement is at

    http://catalog.data.gov/dataset/potential-groundwater-sampling-sites-for-installation-of-a-well-network-for-long-term-monitorin Do you think this data is incorrect? Let us know

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Technical Information

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  • Find out how to contact someone about this data at

    http://catalog.data.gov/dataset/potential-groundwater-sampling-sites-for-installation-of-a-well-network-for-long-term-monitorin Do you think this data is incorrect? Let us know

  • Find out how to suggest improvements to publication at

    http://www.data.gov/issue/?media_url=http://catalog.data.gov/dataset/potential-groundwater-sampling-sites-for-installation-of-a-well-network-for-long-term-monitorin Do you think this data is incorrect? Let us know