Filters: Tags: freshwater ecosystems (X) > Extensions: Shapefile (X)
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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,
This polygon shapefile represents model simulated flood-inundation extents for the Muddy River, near Moapa Nevada. A flood frequency analysis was performed at USGS streamgage 09416000 - Muddy River near Moapa, Nevada, to estimate the 50, 20, 10, 4, 2, and 1-percent annual exceedance probability (AEP) flood streamflows. The flood-inundation extents for the 50-, 20-, 10-, 4-, 2-, and 1-percent AEP floods were simulated for the current levee location in 2019 and for the new levee location of the proposed restoration. One model simulation represents the levee at its current (existing) location in 2019 on the east bank of the river and referred to as ‘current conditions (2019).’ A second model simulation removes the...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Moapa,
Moapa Valley,
Muddy River,
Nevada,
freshwater ecosystems,
This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Great Lakes,
LIDAR,
Lake Erie,
biogeography,
coastal ecosystems,
This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Detroit River,
Great Lakes,
LIDAR,
Lake St. Clair,
St. Clair River,
This represents the flowline network in Western Lale Erie Restoration Assessment (WLERA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Artificial Path,
Canal / Ditch,
FWHydrography,
Great Lakes,
Hydrography,
This point shapefile contains positional data for 2,205 locations at the Muddy River, near Moapa, Nevada, April 1 to August 9, 2019. Positional data were collected using either a single-base real-time kinematic (RTK) global navigation satellite system (GNSS) or a total station. The survey data primarily were used to define 105 cross-sections, with a secondary use as vertical precision verification for lidar data.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Moapa,
Moapa Valley,
Muddy River,
Nevada,
freshwater ecosystems,
This polygon shapefile represents the boundaries of the current (2019) and proposed levee locations used to simulate flood-inundation extents for the at Muddy River, near Moapa, Nevada. The new levee location is proposed as part of a river restoration plan for selected reaches of the Muddy River.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Moapa,
Moapa Valley,
Muddy River,
Nevada,
freshwater ecosystems,
This point shapefile contains positional data for seven static reference locations collected at the Muddy River, near Moapa, Nevada, March 29 to August 9, 2019. Positional data were collected at seven temporary benchmarks using 14 single-baseline online positioning user service – static (OPUS-S) global navigation satellite system (GNSS) surveys. Data were collected using Leica Viva GS14 or TopCon GR-3 GNSS receivers. Processing of static observations was done using the National Geodetic Survey (NGS) online positioning user system (OPUS).
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Moapa,
Moapa Valley,
Muddy River,
Nevada,
freshwater ecosystems,
This represents the flowline network in Connecting River Systems Restoration Assessment (CRSRA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Artificial Path,
Canal / Ditch,
Detroit River,
FWHydrography,
Great Lakes,
This U.S. Geological Survey data release consists of a tabular dataset containing stream temperature data. Data were collected every 12-hours from 15 sites in Soldier Meadows, Black Rock Desert - High Rock Canyon Emigrant Trails National Conservation Area, Nevada. The sites were established by the Bureau of Land Management - Winnemucca District Office in 2017. The data release includes tabular data of site names, date and time of temperature measurement, and stream temperature in degrees Celsius. The site locations are included below as a shapefile, exported from the National Water Information System (NWIS) Mapper. A site list can be accessed here: National Water Information System site list
Clean water is important for a variety of uses, including drinking, recreation, and as habitat for aquatic species. Nonpoint-source pollution, such as nutrients, sediment, and pesticides from agricultural runoff, is a major cause of impaired water quality in the United States . Vegetation and soil in natural land cover help to remove pollutants from runoff water before it reaches streams and other waterways by slowing water flow and physically trapping sediment. To assess the spatial distribution of water purification potential in the southeastern United States, we mapped the demand for purification as the total area of agricultural land and the supply of natural land cover in the flowpath over which water moves...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alabama,
Arkansas,
Florida,
Georgia,
Louisiana,
This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Great Lakes,
LIDAR,
Saginaw Bay,
biogeography,
coastal ecosystems,
This represents the flowline network in Sagina Bay Restoration Assessment (SBRA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Artificial Path,
Canal / Ditch,
FWHydrography,
Great Lakes,
Hydrography,
Clean water is important for a variety of uses, including drinking, recreation, and as habitat for aquatic species. Nonpoint-source pollution, such as nutrients, sediment, and pesticides from agricultural runoff, is a major cause of impaired water quality in the United States . Vegetation and soil in natural land cover help to remove pollutants from runoff water before it reaches streams and other waterways by slowing water flow and physically trapping sediment. To assess the spatial distribution of water purification potential in the southeastern United States, we mapped the demand for purification as the total area of agricultural land and the supply of natural land cover in the flowpath over which water moves...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alabama,
Arkansas,
Florida,
Georgia,
Louisiana,
This dataset contains spatial datasets of topographic and bathymetric survey data in addition to data table the shapefile data collected at the 3 focal areas of research included in the Sustainable Rivers Program (SRP) in the Allegheny River that were collected and processed in collaboration with US Army Corps of Engineers (USACE). The dataset is a combination of terrestrial topographic and bathymetry data measured by Trimble R10 Model 2 GNSS survey equipment or a FlowTracker2 Acoustic Doppler Velocimeter (ADV). The FlowTracker2 was used for flow measurements and water depth and spatial location of each flow measurement point were used to calculate river bottom bathymetry at those locations. Additionally, National...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Allegheny River,
Allegheny River,
Ecology,
Forest County,
GPS measurement,
This dataset contains environmental DNA (eDNA) concentrations and spawning adult abundances for sockeye salmon (Oncorhynchus nerka) in Hansen Creek, a small tributary in the Wood River watershed, southeast Alaska, USA. We took temporally- and spatially-replicated eDNA samples during the spawning period (mid-July through August), along with fish counts (live, naturally dead, and killed), dissolved oxygen (DO), discharge, and temperature data at each time of sampling. Samples were collected at each site before adults entered the stream, and then continued to be collected daily or every other day for the next three weeks.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alaska,
Aleknagik Lake,
CO3,
DNeasy,
Hansen Creek,
This dataset is part of a multi-scale assessment and classification for segments of 15 rivers of the Upper Midwest United States that meet various criteria for largeness. All rivers are tributary to the Mississippi River system. The 11,600 kilometers (km) that qualified as large were parsed into 10-kilometer-long segments and classified by major alterations (free-flowing, navigation pools, storage reservoir). The dataset also includes a statistically based, component classification based on the 10-km segments. Cluster analysis of hydrologic variables from 66 streamflow gaging stations yielded 5 clusters calculated from 5 ecohydrological metrics related to lateral connectivity with the floodplain. A separate cluster...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Midwest,
Mississippi River Basin,
Missouri River Basin,
Ohio River Basin,
USGS Science Data Catalog (SDC),
The USGS developed the second in a series of informative spatial distribution datasets of submersed aquatic vegetation (SAV) in the western 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,
Great Lakes,
Lake Erie,
USGS-CC Asian Carp,
USGS-CC Great Lakes,
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