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Data

USGS provides essential science to help ensure the health and function of the Great Lakes. USGS scientists located across the Science Centers identified below, are working on numerous research studies in the Great Lakes Region.

Filter Total Items: 29

Larval Fish Abundance, Identification, and Auxiliary Data from the Great Lakes and Their Connecting Channels

This dataset contains data collected on various vessel operations on the Great Lakes and their connecting channels, primarily the St. Clair River, Lake St. Clair, Detroit River, and western Lake Erie, although other locations have been sampled and included in this dataset. This dataset contains the field variables, environmental conditions, larval catches (numbers), larval fish identifications, an

The effects of North American fungi and bacteria on Phragmites australis leaves 2017-2019, with comparisons to the global Phragmites microbiome

The data document the results of several microbe bioassays performed by the USGS on Phragmites australis plants, including those performed on mature leaves, seedlings, and dead leaf tissues exploration of the literature to find accounts of microbes associated with Phragmites worldwide. For the bioassays, we prepared 162 pure cultures isolated from Phragmites plants in North America along the east

Total phosphorus and water flux at a restored hydrologic connection at Ottawa National Wildlife Refuge in 2013 and 2014

This tabular data set contains estimates of total phosphorus concentration and mass, as well as measurements of water discharge and volume at a diked wetland pool (Pool 2B) that was reconnected to a Lake Erie tributary (Crane Creek) via a water control structure in March 2011. Sampling occurred during 2013 and 2014. In addition, this data set contains evaluations of movement of total phosphorus an

Land cover map including wetlands and invasive Phragmites circa 2017

The first basin-wide map of large stands of invasive Phragmites australis (common reed) in the coastal zone was created through a collaboration between the U.S. Geological Survey and Michigan Tech Research Institute (Bourgeau-Chavez et al 2013). This data set represents a revised version of that map and was created using multi-temporal PALSAR data and Landsat images from 2016-2017. In addition to

Using turbidity measurements to estimate phosphorus and sediment flux in a Great Lakes Coastal Marsh, in Ohio

Great Lakes coastal marshes have the potential to filter water coming off of the landscape and remove sediments and nutrients before they reach the lakes. However, this ability has largely been neutralized as vast areas of coastal wetlands have been isolated behind dikes; while at the same time the Great Lakes continue to suffer from excess phosphorus loading. In this study we used high-frequency
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