The Great Plains Landscape Conservation Cooperative (GPLCC, http://www.greatplainslcc.org/) is a partnership that provides applied science and decision support tools to assist natural resource managers conserve plants, fish and wildlife in the mid- and short-grass prairie of the southern Great Plains. It is part of a national network of public-private partnerships — known as Landscape Conservation Cooperatives (LCCs, http://www.fws.gov/science/shc/lcc.html) — that work collaboratively across jurisdictions and political boundaries to leverage resources and share science capacity. The Great Plains LCC identifies science priorities for the region and helps foster science that addresses these priorities to support wildlife conservation throughout the Great Plains region. It also assists partners in building their own capacity to address scientific challenges associated with our rapidly changing environment.These data were compiled because the information did not previously exist as a single resource for the GPLCC area. They are intended to inform local and regional conservation and management strategies with a complete regional perspective. Abstract provided by original data sources: "The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Rails Shapefile includes all features within the MTDB Super Class "Rail Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB tha begin with "R". This includes main lines such as spur lines, rail yards, mass transit rail lines such as carlines, streetcar track, monorail or other mass transit rail and special purpose rail lines such as cog rail lines, incline rail lines and trams."Data were the best available at the time of compilation (2011) with current information represented by a combination of national-scale datasets and state or other regional data (e.g. soils) that could be reasonably aggregated.