20191219 11155700 1.0 TRUE Data supporting research focused on understanding the effects of human density on black bear population ecology in Connecticut. Reserach conducted by Mike Evans, University of Connecticut. More: http://wfcc.uconn.edu/Michael_Evans2.php Black Bear ecology wildlife UConn NRME CT ECO CT DEEP UConn CLEAR Data supporting research focused on understanding the effects of human density on black bear population ecology in Connecticut. Reserach conducted by Mike Evans, University of Connecticut. Mike Evans, University of Connecticut samples_centroids 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