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    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.


      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.

      Small Watershed Hydrology (WinTR-55)

        WinTR-55 is a single-event rainfall-runoff small watershed hydrologic model. The model generates hydrographs from both urban and agricultural areas and at selected points along the stream system. Hydrographs are routed downstream through channels and/or reservoirs. Multiple sub-areas can be modeled within the watershed.


          The automated registration and orthorectification package (AROP) uses precisely registered and orthorectified Landsat data (e.g., GeoCover or recently released free Landsat Level 1T data from the USGS EROS data center) as the base image to co-register, orthorectify and reproject (if needs) the warp images from other data sources, and thus make geo-referenced time-series images consistent in the geographic extent, spatial resolution, and projection. The co-registration, orthorectification and reprojection processes were integrated and thus image is only resampled once. This package has been tested on the Landsat Multi-spectral Scanner (MSS), TM, Enhanced TM Plus (ETM+) and Operational Land Imager (OLI), Terra ASTER, CBERS CCD, IRS-P6 AWiFS, and Sentinel-2 Multispectral Instrument (MSI) data.

          Updated Bottom Up Solution for Triacylglycerols

            This Microsoft Excel workbook (2.712 Mb) contains spreadsheets that implement the Updated Bottom Up Solution for Triacylglycerols that allows Critical Ratios that provide structural information from mass spectrometry to be used to reconstitute the original mass spectra from which they came. It contains spreadsheets that use the non-nested equations (Critical Limits explicitly shown), as well as spreadsheets that used the nested equations (Case determinations made with Critical Limits not explicitly shown).

            Quantification of TAGs by LC-MS

              This Microsoft Excel workbook contains spreadsheets for calculating response-factor normalized triacylglycerol (TAG) compositions from response factors derived from GC-FID of fatty acid methyl esters (FAME). This workbook (1.160 Mb) reads the output from a ThermoScientific XCalibur Quan Browser •Excel Short Report• (In XCalibur: File • Export data to Excel • Export Short Excel report), and requires input of the FA composition determined by GC-FID (manually entered or read from Excel spreadsheet [provided upon request]).

              Isotope-corrected Critical Ratio calculations

                This Microsoft Excel workbook (168.259 Mb) calculates Critical Ratios for triacylglycerols based on manually entered mass spectra, with isotope correction by isotope patterns calculated at www.ChemCalc.org. Average mass spectra across integrated peaks are manually entered according to the instructions in the Supplementary Material to the publication 'The Updated Bottom Up Solution for Mass Spectrometry of Soybean Oil in a Dietary Supplement Gelcap".


                  Unique Pattern Informative Combinations (UPIC), a decision tool for the cost-effective design of DNA fingerprinting/genotyping experiments using simple-sequence/tandem repeat (SSR/STR) markers.