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The Ag Data Commons is migrating

The Ag Data Commons is migrating to a new institutional portal on Figshare. The current system is available for search and download only. The new platform is open for submission with assistance from Ag Data Commons curators. Please contact NAL-ADC-Curator@usda.gov, if you need to publish or update your datasets.

2DSOIL version 03

    2D finite element water, solute, and heat mover model for plant models.

    WinFlume 1.06.0006

      WinFlume is a Windows-based computer program used to design and calibrate long-throated flume and broad-crested weir flow measurement structures. The software was developed through the cooperative efforts of the Bureau of Reclamation, the Agricultural Research Service, and the International Institute for Land Reclamation & Improvement . Primary funding for WinFlume's development has come from the Bureau of Reclamation's Water Conservation-Field Services Program.

      GENOSIM

        The genosim package simulates genotypes, breeding values, and phenotypes; simulates DNA sequence read depth (numbers of A and B alleles); and resolves SNP conflicts between parent and offspring genotypes.

        FINDMAP

          The findmap.f90 program aligns sequence reads to reference map, calls previous variants, and identifies new variants.

          FINDHAP

            The findhap.f90 program finds haplotypes and imputes genotypes using multiple chip sets and sequence data.

            ConvertCufflinksToExcel

              This program converts several Cufflinks output files into easily readable Microsoft Excel tables using Apache's POI library. Only the "cuffdiff" output format currently is supported, but future versions may include other output formats.

              STARFM

                The STARFM algorithm uses comparisons of one or more pairs of observed Landsat/MODIS maps, collected on the same day, to predict maps at Landsat-scale on other MODIS observation dates. STARFM was initially developed at the NASA Goddard Space Flight Center by Dr. Feng Gao. This version (v1.2) has been greatly improved in computing efficiency (e.g. one run for multiple dates and parallel computing) for large-area processing (Gao et al., 2015). Additional improvements (e.g. Landsat and MODIS images co-registration, daily MODIS nadir BRDF-adjusted reflectance) in the operational data fusion system (Wang et al., 2014) are beyond the STARFM program and are not included in this package. Improvement and continuous maintenance are being undertaken in the USDA-ARS Hydrology and Remote Sensing Laboratory (HRSL), Beltsville, MD by Dr. Feng Gao.