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Uniform Soybean Tests, Northern Region

    The Uniform Soybean Tests, Northern Region, in place since 1941, evaluate yield, disease resistance, and quality traits of public breeding lines from northern states of the USA and Canadian provinces. The annual reports which compile the test results (PDF format) are available, and new reports are added annually.

    NRCS Regional Conservation Partnership Program - Prairie Grasslands Region

      One of the most threatened ecosystems in North America, native prairie and grasslands contained within the Prairie Grasslands Region are essential habitat for a number of wild game and threatened species, including the lesser prairie chicken and sage grouse. The region also encompasses the Red River Basin of the North and the Ogallala Aquifer—areas that are facing critical conservation needs on working lands from frequent flooding and ponding (in the north) to prolonged drought and aquifer decline (in the Ogallala). This dataset includes a printer-friendly CCA map and shapefiles for GIS.

      NRCS Regional Conservation Partnership Program - Mississippi River Basin

        The Mississippi River is North America’s largest river, flowing over 2,300 miles through America’s heartland to the Gulf of Mexico. The watershed not only provides drinking water, food, industry, and recreation for millions of people, it also hosts a globally significant migratory flyway and home for over 325 bird species. This dataset includes a printer-friendly CCA map and shapefiles for GIS.

        USDA Crop Reporting Districts

          The Iowa Community Indicators Program (ICIP) provides resources for understanding regional economic and demographic change. Our data and analysis services help inform local decision-making, policy development, and strategic planning processes. ICIP continues Iowa State University's long history of socio-economic data service provision.

          Iowa Geographic Map Server

            This site provides free access to Iowa geographic map data through an on-line map viewer and through Web Map Service (WMS) connections for GIS. The site was developed by the Iowa State University Geographic Information Systems Support and Research Facility in cooperation with the Iowa Department of Natural Resources, the USDA Natural Resources Conservation Service, and the Massachusetts Institute of Technology. This site was first launched in March 1999.

            NUOnet (Nutrient Use and Outcome Network) database

              The Nutrient Uptake and Outcomes (NUOnet) database will be able to help establish baselines on nutrient use efficiencies; processes contributing to nutrient losses; and processes contributing to optimal crop yield, nutritional and organoleptic quality. This national database could be used to calculate many different environmental indicators from a comprehensive understanding of nutrient stocks and flows.

              Animal Trait Correlation Database (CorrDB)

                A genetic correlation is the proportion of shared variance between two traits that is due to genetic causes; a phenotypic correlation is the degree to which two traits co-vary among individuals in a population. In the genomics era, while gene expression, genetic association, and network analysis provide unprecedented means to decode the genetic basis of complex phenotypes, it is important to recognize the possible effects genetic progress in one trait can have on other traits. This database is designed to collect all published livestock genetic/phenotypic trait correlation data, aimed at facilitating genetic network analysis or systems biology studies.

                The Animal Quantitative Trait Loci Database (Animal QTLdb)

                  The Animal Quantitative Trait Loci (QTL) Database (Animal QTLdb) strives to collect all publicly available trait mapping data, i.e. QTL (phenotype/expression, eQTL), candidate gene and association data (GWAS), and copy number variations (CNV) mapped to livestock animal genomes, in order to facilitate locating and comparing discoveries within and between species. New data and database tools are continually developed to align various trait mapping data to map-based genome features such as annotated genes.