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This dataset is a digital elevation model (DEM) of the beach topography of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 1-meter (m; 3.28084 foot [ft]) cell size and was created from a LAS (industry-standard binary format for storing large point clouds) dataset of terrestrial light detection and ranging (LiDAR) data with an average point spacing of 0.137 m (0.45 ft). LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). References: Huizinga, R.J. and Wagner, D.M., 2019, Erosion monitoring along selected bank locations of the Coosa River in Alabama using terrestrial light detection and ranging...
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Zebra and quagga mussel veligers were exposed to eleven distinct cultures (isolates) of cyanobacteria representing Anabaena, Aphanizomenon, Dolichospermum, Microcystis, and Planktothrix species and the cyanotoxin microcystin to determine the lethality of cyanobacteria on dreissenid veligers. Six-day laboratory bioassays were performed in microplates using dreissenid veligers collected from the Detroit River, Michigan, USA. Veligers were exposed to increasing concentrations of cyanobacteria and microcystin using the green algae Chlorella minutissima as a control. Raw data were fit to dose response curves formulated from a Probit model to calculate LC50 values. This data release presents the raw data summarized and...
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This dataset is comprised of three files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (LiDAR) data representing beach topography and sonar data representing near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The point data is the same as that in LAS (industry-standard binary format for storing large point clouds) files that were used to create a digital elevation model (DEM) of the approximately 5.9 square kilometer (2.3 square mile) surveyed area. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). Multi-beam sonar data were collected...
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Species occurrence data were obtained from the Atlas of Spawning and Nursery Areas of Great Lakes Fishes (Goodyear et al. 1982). The atlas contains information on all of the commercially and recreationally important species that use the tributaries, littoral and open-water areas of the Great Lakes as spawning and nursery habitats. Close to 9500 geo-referenced data records (occurrences of fish species) were imported into ArcView GIS. The 139 fish taxa reported in the Atlas had to be grouped into fewer broad categories to produce meaningful distribution maps. We chose three functional classification schemes. Jude and Pappas (1992) used Correspondence Analysis to partition fish species associated with the open...
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Species occurrence data were obtained from the Atlas of Spawning and Nursery Areas of Great Lakes Fishes (Goodyear et al. 1982). The atlas contains information on all of the commercially and recreationally important species that use the tributaries, littoral and open-water areas of the Great Lakes as spawning and nursery habitats. Close to 9500 geo-referenced data records (occurrences of fish species) were imported into ArcView GIS. The 139 fish taxa reported in the Atlas had to be grouped into fewer broad categories to produce meaningful distribution maps. We chose three functional classification schemes. Jude and Pappas (1992) used Correspondence Analysis to partition fish species associated with the open...
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The U.S. Geological Survey (USGS), in cooperation with the U.S. Fish and Wildlife Service (USFWS) and the U.S. Environmental Protection Agency (EPA), identified the occurrence of contaminants of emerging concern (CECs) in water and bottom sediment collected in 2013 at 57 sites throughout the Great Lakes Basin. The 2013 effort is part of a long-term study that began in 2010. Included in this directory are references to or descriptions of analytical methods used, collection methods, environmental data, and associated quality-assurance data for samples collected in 2013. Samples were collected from April through October 2013 by USGS, USFWS, and/or EPA personnel. Study sites include tributaries to the Great Lakes...
Well-established conservation planning principles and techniques framed by geodesign were used to assess the restorability of areas that historically supported coastal wetlands along the U.S. shore of Saginaw Bay. The resulting analysis supported planning efforts to identify, prioritize, and track wetland restoration opportunity and investment in the region. To accomplish this, publicly available data, criteria derived from the regional managers and local stakeholders, and geospatial analysis were used to form an ecological model for spatial prioritization.
Observations and subtle shifts of vegetation communities in western Lake Erie have USGS researchers concerned about the potential for Grass Carp to alter these vegetation communities. Broad-scale surveys of vegetation using remote sensing and GIS mapping, coupled with on-the-ground samples in key locations will permit assessment of the effect Grass Carp may have already had on aquatic vegetation communities and establish baseline conditions for assessing future effects. Existing aerial imagery was used with object-based image analysis to detect and map aquatic vegetation in the western basin of Lake Erie.
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OBIS-USA brings together marine biological occurrence data – recorded observations of identifiable marine species at a known time and place, collected primarily from U.S. Waters or with U.S. funding. Coordinated by the Science Analytics and Synthesis (SAS) Program of the United States Geological Survey (USGS), OBIS-USA, strives to meet national data integration and dissemination needs for marine data about organisms and ecosystems. OBIS-USA is part of an international data sharing network (Ocean Biogeographic Information System, OBIS) coordinated by the Intergovernmental Oceanographic Commission, of UNESCO (United Nations Educational, Science and Cultural Organization) International Oceanographic Data and Information...
Tags: Arctic Ocean, Atlantic Ocean, Bay of Fundy, Beaufort Sea, Bering Sea, All tags...
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This dataset provides results of a targeted bacterial community metagenomic analysis of surface water, groundwater, and sand samples at Jeorse Park on Lake Michigan in East Chicago, Indiana. Seventy-two samples were collected from 6 sites in 2017. Samples were analyzed for the 16S ribosomal RNA (16S rRNA) gene (the S in 16S refers to the rate of sedimentation, in Svedberg units, of the RNA molecule in a centrifugal field), and one sample was excluded because it produced too few reads. The 16S rRNA gene is the most conserved of three rRNA genes (16S, 23S, and 5S) and is considered the most reliable for identification and taxonomic classification of bacterial species (Bouchet and others, 2008). Taxonomic analysis...
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This data set includes WRTDS nutrient flux trend results and the values of daily streamflow trend results displayed in the Quantile-Kendall plots. For 1995-2015 nutrient trends, the method of generalized flow normalization (FNG) was used which explicitly addresses non-stationary streamflow conditions. For 2005-2015 nutrient trends, the WRTDS trend analyses used the method of stationary flow normalization (FNS) because streamflow nonstationarity is difficult to assess over this shorter duration time frame. The 1995-2015 annual nutrient trends were determined for all five nutrient parameters (TP, SRP, TN, NO23, TKN), and monthly trends were evaluated only for SRP. The 2005-2015 annual nutrient trends were determined...
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This dataset describes the hydrogeomorphic structure and lake-tributary mixing in three intermediate-sized Lake Michigan rivermouths: Ford River, Manitowoc River, and Pere Marquette River. Data were collected from May to October 2011. Water chemistry variables were measured with a multiparameter sonde along longitudinal, lateral, and vertical transects. Magnesium, boron, and stable water isotope concentrations were also determined from grab water samples at particular depths.
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This Benthic Invertebrate Community Analysis dataset, a conceptual subgroup of the Lake Erie Ecological Investigations (LEEI) dataset, focuses on the benthic invertebrates sampled at Areas of Concern (AOCs) on Lake Erie. Per the Quality Assurance Project Plan (QAPP), the invertebrate samples were taken from sediments remaining from the sediment analysis. Identification of the invertebrates was completed by the same invertebrate taxonomist for both the 1998-2000 evaluation and 1986-87 historical evaluation (Smith et al. 1994) for increased consistency. Oligochaetes were identified to species if possible, chironomids were identified to genus, as adult specimens are needed for specific identification, and other taxa...
Categories: Data; Tags: AOCs, Ameiurus nebulosus, Ashtabula, Ashtabula River, Black River, All tags...
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Point locations for collections of Michigan fish in the Lake Michigan basin.
Description of Work Since 2010, connecting channels have been included in each of the Great Lakes’ Lake Management Plans (LaMPs). Lake Ontario now includes both the Niagara River and the St. Lawrence River. The Niagara River is well characterized by a number of long-term programs, but because of the lack of tributary water-quality data, the St. Lawrence River and its tributaries constitute a data gap in the information needed for the Lake Ontario to fulfill its goals. Critical information needs, including basic water-quality parameters, total suspended solids, nutrients and flow data. These data are needed to aid in the identification of sources of nutrient and sediment loading to the St. Lawrence. The monitoring...
This dataset is the survey area footprint for the beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The survey footprint represents a LAS dataset of terrestrial light detection and ranging (lidar) of beach topography and multibeam sonar bathymetry to approximately 1 kilometer (0.62 miles) offshore, for an approximately 2.27 square kilometer surveyed area. The surveys were completed July 20 - July 23, 2020.
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Within the time frame of the longevity of tree species, climate change will change faster than the ability of natural tree migration. Migration lags may result in reduced productivity and reduced diversity in forests under current management and climate change. We evaluated the efficacy of planting climate-suitable tree species (CSP), those tree species with current or historic distributions immediately south of a focal landscape, to maintain or increase aboveground biomass, productivity, and species and functional diversity. We modeled forest change with the LANDIS-II forest simulation model for 100 years (2000–2100) at a 2-ha cell resolution and five-year time steps within two landscapes in the Great Lakes region...
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For management agencies, there is a growing need to understand (1) how climate change affects and will continue to affect wildlife populations of conservation concern, and (2) how the negative Upper Midwest Great Lakes Landscape Conservation Cooperative Request for Funding 2013 demographic effects of climate change can be mitigated through management strategies. Climate Change Vulnerability Assessment (CCVA) integrates available data and scientific understanding in a transparent process, details assumptions and uncertainties, and ultimately projects population-level responses of target species to future climate change. Climate change is already influencing distributions and abundances of species throughout North...


map background search result map search result map Lake Michigan, USA: Historic brook trout spawning locations Lake Michigan, USA: Historic alewife spawning locations Lake Michigan, USA: Locations of collections of lake trout Chemicals of Emerging Concern in Water and Bottom Sediment in Great Lakes Areas of Concern, 2013—Analytical Methods, Collection Methods, Environmental Data, and Quality Assurance Lake Erie, Western Basin Aquatic Vegetation data Report: Climate Change Vulnerability Assessment for Species of Conservation Concern: Distributions and Demographics Across a Landscape Conservation Cooperative Publication: Measuring and managing resistance and resilience under climate change in northern Great Lake forests Lake Erie Ecological Investigations 1980-2000: Benthic Invertebrate Community Analysis Lake Erie Tributaries: Nutrient and streamflow trend results Metagenomics analysis of groundwater, surface water, and sand samples at Jeorse Park in East Chicago, Indiana, 2017 Lethality of bloom forming cyanobacteria on zebra and quagga mussel veligers collected from the Detroit River Hydrogeochemical Mixing data from Lake Michigan Tributaries 2011 Digital elevation model (DEM) of beach topography of Lake Superior at Minnesota Point, Duluth, MN, August 2019 XYZ files of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 Minnesota Point: Survey area of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, July 2020 Lethality of bloom forming cyanobacteria on zebra and quagga mussel veligers collected from the Detroit River Minnesota Point: Survey area of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, July 2020 Digital elevation model (DEM) of beach topography of Lake Superior at Minnesota Point, Duluth, MN, August 2019 XYZ files of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 Metagenomics analysis of groundwater, surface water, and sand samples at Jeorse Park in East Chicago, Indiana, 2017 Lake Erie, Western Basin Aquatic Vegetation data Hydrogeochemical Mixing data from Lake Michigan Tributaries 2011 Lake Michigan, USA: Historic brook trout spawning locations Lake Erie Ecological Investigations 1980-2000: Benthic Invertebrate Community Analysis Lake Erie Tributaries: Nutrient and streamflow trend results Lake Michigan, USA: Locations of collections of lake trout Lake Michigan, USA: Historic alewife spawning locations Publication: Measuring and managing resistance and resilience under climate change in northern Great Lake forests Chemicals of Emerging Concern in Water and Bottom Sediment in Great Lakes Areas of Concern, 2013—Analytical Methods, Collection Methods, Environmental Data, and Quality Assurance Report: Climate Change Vulnerability Assessment for Species of Conservation Concern: Distributions and Demographics Across a Landscape Conservation Cooperative