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This dataset includes pesticides and pesticide transformation products in 15 tributaries of the Great Lakes. Pesticides were monitored using polar organic chemical integrative samplers (POCIS) to estimate concentrations in water following standard protocols (Alvarez, 2010) in June and July 2016. POCIS extracts were analyzed for 225 chemicals (USGS National Water Quality Laboratory schedule 5437, Sandstrom and others, 2016), for which 129 chemicals also have POCIS uptake rates, allowing calculations of time-weighted mean concentration over the approximately 30 day deployment (Alvarez and others, 2008). Collectively, there were 97 chemicals detected, and time-weighted mean concentrations could be calculated for 95...
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.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Asian Carp,
Emergent Vegetation,
Erie County,
Grass Carp,
Great Lakes,
Hydroacoustic estimates of fish density are used for fisheries management in central Lake Erie. Hydroacoustic data were collected along up to four cross-lake transects in central Lake Erie July 2010 through July 2019. Software-generated raw variables used for calculating estimates of hydroacoustic fish densities are presented here.
Categories: Data;
Tags: Aquatic Biology,
Great Lakes,
Lake Erie,
USGS Science Data Catalog (SDC),
aquatic biology,
This table contains Carbon and Nitrogen stable isotope data for Silver Chub (Macrhybopsis storeriana), dreissenid mussels, and Hexagenia spp. mayflies from western Lake Erie in 2014. Samples were collected between May and September 2014 as part of both routine monitoring and a lake-wide coordinated monitoring effort. Silver Chub were collected in trawls; Hexagenia and Dreissenids were captured in benthic samples and taken from Silver Chub diets.
Categories: Data;
Tags: Lake Erie,
USGS Science Data Catalog (SDC),
biota,
invasive species,
life sciences,
Note: this data release has been deprecated. Please see new data release here: https://doi.org/10.5066/P9RZ8GHO. On November 4-7, 2019, bathymetric data were collected on the Sandusky River between Tiffin and Fremont, Ohio. Wading measurements were made at cross-sections shallower than about 1 foot using a survey pole with a Trimble R10 Global Navigation Satellite System (GNSS) receiver connected to the Ohio Department of Transportation (ODOT) real-time virtual reference station (VRS) network. Cross-sections that were deeper than about 1 foot were measured with a CEE-ECHO single-beam echosounder mounted to a canoe. A Trimble R10 GNSS receiver connected to the ODOT real-time VRS network was mounted directly above...
All mensuration data represented here expand upon vessel operations (OP table) data, all of which are collected by the United States Geological Survey, Great Lakes Science Center and its partners. The Mensuration Tables contain data collected from the research vessel deploying various gear used for mensuration data collection. The database uses sample_type to indicate the gear deployed. The tables relating to Mensuration are: Mensuration.csv, MS_head_rope_depth.csv, MS_FOOT_ROPE_DEPTH, MS_Primary.csv, MS_Temperature.csv, and MS_Wingspread.csv Data Quality: Note that the following data release is a snapshot of the database at the time of release. Some data quality checks are still being undertaken after the time...
This data release supports the following publication: Hittle, Elizabeth, 2017, Longshore Water-Current Velocity and the Potential for Transport of Contaminants: A Pilot Study in Lake Erie from Walnut Creek to Presque Isle State Park Beaches, Erie, Pennsylvania, June and August 2015: U.S. Geological Survey Open-File Report 2016–1206 126 p., https://doi.org/10.3133/ofr20161206. This dataset is Velocity Mapping Toolbox (VMT) processed Acoustic Doppler Current Profiler (ADCP) data. The data was processed with a horizontal averaging of 5 grid nodes (Parsons, D.R., Jackson, P.R., Czuba, J.A., Oberg, K.A., Mueller, D.S., Rhoads, B., Best, J.L., Johnson, K.K., Engel, F., and Riley, J. (2013) Velocity Mapping Toolbox (VMT):...
Categories: Data;
Tags: Erie County,
Lake Erie,
Pennsylvania,
Presque Isle State Park,
Water Circulation,
This data release supports the following publication: Hittle, Elizabeth, 2017, Longshore Water-Current Velocity and the Potential for Transport of Contaminants: A Pilot Study in Lake Erie from Walnut Creek to Presque Isle State Park Beaches, Erie, Pennsylvania, June and August 2015: U.S. Geological Survey Open-File Report 2016–1206 126 p., https://doi.org/10.3133/ofr20161206. This data set contains water quality data (temperature, specific conductance, and turbidity) measured and recorded on June 25, 2015 with a YSI EXO probe and depth measured and recorded by a design analysis 700H pressure transducer. The data was collected along select transects at ~300 meter spacing by moving the probe down and up throughout...
Categories: Data;
Types: Citation;
Tags: Erie County,
Lake Erie,
Pennsylvania,
Presque Isle State Park,
Water Quality
Data provided in this release support the findings in Choquette et al. (2019), utilizing methods for evaluating water-quality and daily-streamflow trends described also in Hirsch and DeCicco (2015 and 2018a) and Hirsch (2018). The trend results and model-input data focus on 10 locations in the Lake Erie watershed that have long-term (20 or more years) water-quality and streamflow monitoring records. The trend results include the years 1987 through 2016 or specified sub-periods during this time frame. The model-input data records spanned the time period 1974 through 2016 although record lengths varied by site, data type, and trend analysis. The water-quality records were provided by the National Center for Water...
Cladophora biomass and supporting data collected in the Great Lakes, 2018 (ver. 1.1, September 2020)
Note: An error was discovered in the BenthicBiomas Table, mostly in designation of BDLs and zeros. Data are undergoing further QC and the corrected dataset will be posted soon. This dataset records Cladophora and associated submerged aquatic vegetation (SAV) biomass collected approximately monthly during the growing season of 2018 at stations located along the U.S. shoreline of Lakes Michigan, Huron, Erie, and Ontario. It also records a variety of supporting data collected at Cladophora measurement stations. These supporting data include: - seasonal time series of light, currents, wave action, temperature, specific conductivity, turbidity, pH, phycocyanin, chlorophyll, and dissolved oxygen from moored sensors...
Categories: Data,
Data Release - Revised;
Tags: Aquatic Biology,
CTD measurement,
Ecology,
Great Lakes Region,
Lake Erie,
High-resolution digital aerial imagery was collected on August 23 and 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared (CIR) format. The camera system is connected to the plane's positioning and orientation system and precise metadata was generated for each exposure. This imagery was intended to be used as a base layer for object-based image analysis (OBIA) to map aquatic vegetation in western Lake Erie.
High-resolution digital aerial imagery was collected on August 23 and 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared (CIR) format. The camera system is connected to the plane's positioning and orientation system and precise metadata was generated for each exposure. This imagery was intended to be used as a base layer for object-based image analysis (OBIA) to map aquatic vegetation in western Lake Erie.
High-resolution digital aerial imagery was collected on August 23 and 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared (CIR) format. The camera system is connected to the plane's positioning and orientation system and precise metadata was generated for each exposure. This imagery was intended to be used as a base layer for object-based image analysis (OBIA) to map aquatic vegetation in western Lake Erie.
High-resolution digital aerial imagery was collected on August 23 and 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared (CIR) format. The camera system is connected to the plane's positioning and orientation system and precise metadata was generated for each exposure. This imagery was intended to be used as a base layer for object-based image analysis (OBIA) to map aquatic vegetation in western Lake Erie.
High-resolution digital aerial imagery was collected on August 23 and 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared (CIR) format. The camera system is connected to the plane's positioning and orientation system and precise metadata was generated for each exposure. This imagery was intended to be used as a base layer for object-based image analysis (OBIA) to map aquatic vegetation in western Lake Erie.
The USGS developed the second in a series of informative spatial distribution datasets of submersed aquatic vegetation (SAV) in the eastern basin of Lake Erie. The second dataset was developed by object-based image analysis of high-resolution imagery (US waters < 6 meters deep) collected during peak biomass in 2018 to allow assessments of changes in SAV distribution. Assessing SAV abundance may contribute to inform the long-term impacts of Grass Carp, Common Carp, eutrophication, wind fetch and sedimentation on vegetation communities throughout Lake Erie and the impact these stressors may have on other organisms in the ecosystem. These data may also help inform the deployment of toxic bait deployments targeting...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Ctenopharyngodon idella,
Eastern Lake Erie,
GLRI,
Great Lakes,
Lake Erie,
High-resolution digital aerial imagery was collected on August 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared (CIR) format. The camera system is connected to the plane's positioning and orientation system and precise metadata was generated for each exposure. This imagery was intended to be used as a base layer for object-based image analysis (OBIA) to map aquatic vegetation in western Lake Erie as well as shallow areas along the shoreline of the eastern portion.
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Eastern Lake Erie,
Lake Erie,
New York,
Ohio,
Pennsylvania,
The datasets listed on this page need to have copies of the images and their metadata files stored in .zip files for downloading, as the list of individual files is so long users may not download the metadata at the same time they download images. Do not make public until the image files are replaced with .zip files (which contain both the images and metadata). High-resolution digital aerial imagery was collected on August 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Eastern Lake Erie,
Lake Erie,
New York,
Ohio,
Pennsylvania,
High-resolution digital aerial imagery was collected on August 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared (CIR) format. The camera system is connected to the plane's positioning and orientation system and precise metadata was generated for each exposure. This imagery was intended to be used as a base layer for object-based image analysis (OBIA) to map aquatic vegetation in western Lake Erie as well as shallow areas along the shoreline of the eastern portion.
High-resolution digital aerial imagery was collected on August 23 and 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared (CIR) format. The camera system is connected to the plane's positioning and orientation system and precise metadata was generated for each exposure. This imagery was intended to be used as a base layer for object-based image analysis (OBIA) to map aquatic vegetation in western Lake Erie.
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Lake Erie,
Michigan,
Ohio,
Western Lake Erie,
imageryBaseMapsEarthCover
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