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This dataset contains predictions of habitat suitability of reed canarygrass (Phalaris arundinacea) in Upper Mississippi River floodplain forest understories from Pool 3 to Pool 13. Predictions were created using three machine learning algorithms (Bayesian additive regression trees, boosted trees, and random forest). This dataset contains rasters that provide habitat suitability predictions for each 12m raster cell that had forested landcover in 2010. In addition to one raster for each of the three algorithms an ensemble (mean prediction of all three algorithms) prediction raster for each pool is provided. The presence/absence observations used to train the model are contained in a .csv file with each plot location....
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The data details common loon locations based on archival geolocator tag information, characteristics of common loon dives during wintering, and common loon locations based on telemetry data. Satellite transmitters (Model PTT-100, Microwave Telemetry, Inc) were implanted in 31 adult male (marked during July 2010 and July 2011) and 27 juvenile (marked during August 2014 and August 2015) common loons that were captured on breeding lakes in Minnesota, Wisconsin, and the Upper Peninsula of Michigan. The satellite transmitters were programmed to transmit on a variable schedule based on the anticipated stage of migration during the loon’s annual cycle. We utilized the most accurate locations per 8-hour transmission period...


    map background search result map search result map Common loon migration and winter data: telemetry locations and archival geolocator tag location (ver 2.0, October 2022) Estimates of habitat suitability of reed canarygrass (Phalaris arundinacea) in Upper Mississippi River floodplain forest understories (ver. 2.0, February 2024) Estimates of habitat suitability of reed canarygrass (Phalaris arundinacea) in Upper Mississippi River floodplain forest understories (ver. 2.0, February 2024) Common loon migration and winter data: telemetry locations and archival geolocator tag location (ver 2.0, October 2022)