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‘Dark Ecology Project’ Will Use Past Weather Radar Data to Trace Bird Migrations UMass Amherst, Cornell researchers team up for new analysis of bird migration data A national radar mosaic showing heavy bird migration throughout the Midwestern United States on the night of May 2, 2015. Streamlines show simulated bird trajectories based on radar measurements of migration. A team of researchers led by computer scientist Daniel Sheldon plan to develop new analytic methods with data collected over the past 20 years to provide powerful new tools for tracking bird migration. AMHERST, Mass. – Every spring and fall, billions of birds migrate across the United States, largely unseen under the cover of darkness. Now a team of researchers led by computer scientist Daniel Sheldon at the University of Massachusetts Amherst plan to develop new analytic methods with data collected over the past 20 years – more than 200 million archived radar scans from the national weather radar network – to provide powerful new tools for tracking migration. Sheldon http://josef7203os.onlinetechjournal.com/basic-questions-on-no-hassle-topickeyword-plans says, “The Dark Ecology Project will develop new resources allowing us to estimate the densities of migrating birds over the U.S. each year for the last 25 years.” His collaboration with computer vision expert Subhransu Maji at UMass Amherst and Steven Kelling, director of information science at the Cornell Laboratory of Ornithology, Ithaca, N.Y., is supported by a three-year, $903,300 National Science Foundation grant to UMass Amherst and $309,000 to Cornell. Sheldon has collaborated with scientists at the Cornell Lab of Ornithology since 2009, when he was a Ph.D. student at Cornell.