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Lake Ontario. Cliff on the east shore. The bluff is composed of till. The waves have washed away the finer material, leaving a coarse shingle along with boulders larger than the waves can roll. 1895.
Categories: Image; Tags: Lake Ontario, photo print
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Lake Ontario. Upper surface of boulder from boulder pavement exposed on the lakeshore near Wilson, New York. Circa 1895.
Categories: Image; Tags: Lake Ontario, photo print
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Lake Ontario. Upper surface of boulder from boulder pavement exposed on the lakeshore near Wilson, New York. Circa 1895.
Categories: Image; Tags: Lake Ontario, photo print
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Lake Ontario. Lakeshore near Olcott, New York. The broad blocks of rock are approximately in-situ. Circa 1895.
Categories: Image; Tags: Lake Ontario, Rocks, photo print
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From April through September of 2018, water-quality data were collected at 35 locations from select tributaries, embayments, and nearshore lake locations along New York's portion of Lake Ontario in support of the 2018 Cooperative Science and Monitoring Initiative, the Great Lakes Restoration Initiative, and the Lakewide Action Management Plan. These data include environmental, replicate, and blank samples of nutrients, suspended solids, sodium, and chloride, as well as field measurements of physical parameters (temperature, specific conductance, dissolved oxygen, pH, turbidity, phycocyanin relative fluorescence, chlorophyll relative fluorescence, photosynthetically active radiation, and phycocyanin:cholorphyll...
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From May of 2015 through September of 2018, velocity data were collected along 7 transects from select tributaries, embayments, and nearshore lake locations along New York's Lake Ontario waterfront in support of the Great Lakes Restoration Initiative and the Lakewide Action Management Plan. These data include: depth, velocity magnitude, velocity direction, navigational data, ADCP temperature, and channel profile.
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All gillnet 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 Gillnet Tables contain data collected from the research vessel deploying various gear used for gillnet data collection. The database uses sample_type to indicate the gear deployed. The tables relating to Gillnet are: GN_Annulus.csv, GN_Catch.csv, GN_Effort.csv, GN_Fish.csv, GN_L, GN_LF.csv, GN_OP.csv, GN_Prey.csv, GN_Stomach.csv, LMMB_Fish_Prey.csv, and LMMB_Invert_Prey.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...
Categories: Data; Tags: Alewife, Bathythermograph, Benthos, Bloater, Cisco, All tags...
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Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding to adjacent water-surface elevations (stages) at 8 USGS lake gages on Lake Ontario. This item includes data sets for segment E - Lake Ontario...
Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding to adjacent water-surface elevations (stages) at 8 USGS lake gages on Lake Ontario. This item includes data sets for segment B - Lake Ontario...
Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding to adjacent water-surface elevations (stages) at 8 USGS lake gages on Lake Ontario. This item includes data sets for segment G - Lake Ontario...
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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...
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Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinity of Sodus Bay, New York. This data release includes images tagged with locations determined from the UAS GPS; tables with updated estimates of camera positions and attitudes based on the photogrammetric reconstruction; tables listing locations of the base stations, ground control points, and transect points; geolocated, RGB-colored point...
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Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinity of Sodus Bay, New York. This data release includes images tagged with locations determined from the UAS GPS; tables with updated estimates of camera positions and attitudes based on the photogrammetric reconstruction; tables listing locations of the base stations, ground control points, and transect points; geolocated, RGB-colored point...
Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 3DR Solo quadcopter, CMGP, Charles Point, Coastal and Marine Geology Program, DEM, All tags...
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Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), in three locations along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinities of Braddock Bay, Sodus Bay, and Chimney Bluffs State Park, New York. This data release includes images tagged with locations determined from the UAS GPS; tables with updated estimates of camera positions and attitudes based on the photogrammetric reconstruction; tables listing locations of the base stations, ground control...
Categories: Data; Tags: 3DR Solo quadcopter, Agisoft Photoscan, Braddock Bay, Braddock Bay Park, Braddock Bay Wildlife Management Area, All tags...
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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...
Categories: Data; Tags: Alewife, Bathythermograph, Benthos, Bloater, Cisco, All tags...
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Lake Ontario. Upper surface of boulder from boulder pavement exposed on the lakeshore near Wilson, New York. Circa 1895.
Categories: Image; Tags: Lake Ontario, photo print
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Lake Ontario. Low ridge above an anticline on the lakeshore near Eighteenmile Point, New York. Circa 1895
Categories: Image; Tags: Lake Ontario, photo print
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Lake Ontario. Shingle beach west of Olcott, New York. Circa 1889.
Categories: Image; Tags: Lake Ontario, photo print
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Lake Ontario. Lakeshore near Wilson, New York, viewed from the end of a pier. Shore drift transported by the waves, from right to left, accumulates against the pier. On the opposite (east) side of the pier the defect of shore drift exposes the till to comparatively rapid erosion. 1898. Photos ggk01799 and ggk1779a form a panorama.
Categories: Image; Tags: Lake Ontario, photo print
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Lake Ontario. Lakeshore near Wilson, New York, viewed from the end of a pier. Shore drift transported by the waves, from right to left, accumulates against the pier. On the opposite (east) side of the pier the defect of shore drift exposes the till to comparatively rapid erosion. 1898. Photos ggk01799 and ggk1779a form a panorama.
Categories: Image; Tags: Lake Ontario, photo print


map background search result map search result map Braddock West camera locations and attitudes for low-altitude aerial images collected during unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Braddock Bay, New York in July 2017 Aerial imagery and photogrammetric products from unmanned aerial systems (UAS) flights over the Lake Ontario shoreline at Sodus Bay, New York, July 12 to 14, 2017 Charles Point digital elevation model (DEM) from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Sodus Bay, New York in July 2017 (32-bit floating point GeoTIFF image) Great Lakes Research Vessel Operations 1958-2018: Gillnet. (ver. 3.0, April 2019) Great Lakes Research Vessel Operations 1958-2018: Mensuration. (ver. 3.0, April 2019) Lake Ontario Nearshore Nutrient Study (LONNS), 2018, Lake Ontario, New York Lake Ontario Velocity Transect Data 2015-18 Segment B - Flood inundation map geospatial datasets for Lake Ontario, New York Segment G - Flood inundation map geospatial datasets for Lake Ontario, New York Pesticides and pesticide transformation product data from passive samplers deployed in 15 Great Lakes tributaries, 2016 Segment E - Flood inundation map geospatial datasets for Lake Ontario, New York Braddock West camera locations and attitudes for low-altitude aerial images collected during unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Braddock Bay, New York in July 2017 Charles Point digital elevation model (DEM) from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Sodus Bay, New York in July 2017 (32-bit floating point GeoTIFF image) Aerial imagery and photogrammetric products from unmanned aerial systems (UAS) flights over the Lake Ontario shoreline at Sodus Bay, New York, July 12 to 14, 2017 Segment E - Flood inundation map geospatial datasets for Lake Ontario, New York Segment B - Flood inundation map geospatial datasets for Lake Ontario, New York Segment G - Flood inundation map geospatial datasets for Lake Ontario, New York Lake Ontario Velocity Transect Data 2015-18 Lake Ontario Nearshore Nutrient Study (LONNS), 2018, Lake Ontario, New York Pesticides and pesticide transformation product data from passive samplers deployed in 15 Great Lakes tributaries, 2016 Great Lakes Research Vessel Operations 1958-2018: Gillnet. (ver. 3.0, April 2019) Great Lakes Research Vessel Operations 1958-2018: Mensuration. (ver. 3.0, April 2019)