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This data provides an estimated raster surface of dissolved oxygen values across a region covered by an August 23, 2016 AUV survey. The raster was generated by using a natural neighbors interplator within a GIS on the empirical data set. This interpolator was chosen due to the non-normal distribution observed among the data, and its ability to produce smoother approximations than alternative interpolation methods. There are three files available for download in the 'Attached Files' section below. There is a zip file which contains the interpolated dissolved oxygen surface, an xml file which contains metadata, and a layer file which can be used to import the layer's symbology.
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Bathymetric change grids covering the periods of time from 1934 to 2011, from 2011 to 2018, and from 1934 to 2018 are presented. The grids cover a portion of the Mokelumne River, California, starting at its terminus at the San Joaquin River and moving upriver to the confluences of the north and south branches of the Mokelumne. Positive grid values indicate accretion, or a shallowing of the surface bathymetric surface, and negative grid values indicate erosion, or a deepening of the bathymetric surface. Bathymetry data sources include the U.S. Geological Survey, California Department of Water Resources, and NOAA's National Ocean Service.
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Bathymetric change grids covering the periods of time from 1992 to 1998 and from 1994 to 2004 are presented. The grids cover a portion of the Sacramento River near Rio Vista, California, extending partially upstream on Cache and Steamboat sloughs by the Ryer Island Ferry, as well as continuing up the Sacramento River towards Isleton. Positive grid values indicate accretion, or a shallowing of the surface bathymetric surface, and negative grid values indicate erosion, or a deepening of the bathymetric surface. Bathymetry data sources include the U.S. Army Corps of Engineers, California Department of Water Resources, and NOAA�s National Ocean Service.
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Measurements of suspended sediment concentration, water velocity, suspended-sediment particle size, and suspended-sediment particle settling velocity were collected to estimate suspended-sediment flux and investigate sediment transport processes at Dumbarton Bridge in San Francisco Bay (NWIS station 373015122071000) from calendar year 2018 to 2019. Data were collected using: stationary and boat-mounted acoustic Doppler current meters (ADCP, a 1 MHz Nortek Aquadopp and a 1200kHz Teledyne RiverPro, respectively), four stationary and one profiling multiparameter water quality profiling sondes (YSI 6920), a stationary acoustic backscattering sensor (ABS, Sequoia LISST-ABS), a stationary laser diffraction particle size...
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Model archive summary (MAS) describing the development of a suspended-sediment concentration (SSC) surrogate regression model for the Hookton Slough near Loleta, CA water quality station (USGS site ID# 404038124131801). A continuous 15-minute SSC record was computed using this regression model for the period of record (03-04-2016 to 09-10-2019). The computed SSC record can be found on NWIS Web at https://waterdata.usgs.gov/ca/nwis/uv?site_no=404038124131801. The SSC record was used to assess ambient SSC conditions, the availability of suspended sediment to support surface deposition and elevation gain in adjacent salt marshes, and to characterize salt marsh resiliency to climate change impacts in Humboldt Bay, CA.
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.
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This data release includes monitoring data collected by the U.S. Geological Survey (USGS) Humboldt Bay Water Quality and Salt Marsh Monitoring Project. The datasets include continuous water levels collected at a 6-minute timestep collected in two study marshes (Mad River and Hookton). Surface deposition, elevation changes and carbon storage (in marsh edge environments) measured in five USGS study marshes (Mad River, Manila, Jacoby, White and Hookton). The monitoring data presented in this data release represent fundamental datasets needed to manage blue carbon stocks, assess marsh vulnerability, inform SLR adaptation planning, and build coastal resiliency to climate change in Humboldt Bay, CA Additional documentaton...
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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.
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This data provides an estimated raster surface of dissolved oxygen values across a region covered by an August 26, 2016 AUV survey. The raster was generated by using a natural neighbors interplator within a GIS on the empirical data set. This interpolator was chosen due to the non-normal distribution observed among the data, and its ability to produce smoother approximations than alternative interpolation methods. There are three files available for download in the 'Attached Files' section below. There is a zip file which contains the interpolated dissolved oxygen surface, an xml file which contains metadata, and a layer file which can be used to import the layer's symbology.
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This portion of the data release provides the data used to develop the calibration equation for the images in Digital seafloor images and sediment grain size from the mouth of the Columbia River, Oregon and Washington, 2014 for the estimate of median grain size. This dataset includes 63 still images extracted from digital video imagery of sediment grab samples along with laboratory grain size analysis of the sediment grab samples taken from the mouth of the Columbia River, OR and WA, USA. Still images were extracted from video footage whenever the camera was resting on the sediment sample and individual sediment grains were visible and in focus. The images were used to calculate the calibration curve through auto-correlation...
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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.
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This data set provides locations and values of water quality parameters from a survey conducted on August 24, 2016 using an Autonomous Underwater Vehicle (AUV) in Nicoll Bay, NY. During the August 24 survey, 17,808 observations of water quality parameters were made. Parameters collected include dissolved oxygen, pH, water temperature, specific conductance, and salinity. Data was collected in approximately east-west transects by the AUV, with the northern-most transects made first. Data was collected between the hours of 1 am and 5 am to obtain minimum DO values in the daily cycle. There are three files available for download in the 'Attached Files' section below. There is a zip file which contains the observation...
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Elevation change and surface deposition are important drivers of salt marsh ecological processes and represent two of the fundamental variables for determining marsh resilience to sea-level rise. Surface Elevation Tables with Marker Horizons (SET-MH) were used to measure plot-scale elevation change (SETs) and surface deposition (MHs) in five USGS study marshes located in Humboldt Bay, CA. SET-MHs were installed in 2014 (Mad River marsh and Manila marsh) and in 2015 (Jacoby marsh, White marsh, and Hookton marsh) and were measured during quarterly site visits. The SET-MH network includes two SETs and six MHs in each of the five study marshes. Measuring elevation change at the two SETs in each study marsh involves...
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This data provides an estimated raster surface of dissolved oxygen values across a region covered by an August 24, 2016 AUV survey. The raster was generated by using a natural neighbors interplator within a GIS on the empirical data set. This interpolator was chosen due to the non-normal distribution observed among the data, and its ability to produce smoother approximations than alternative interpolation methods. There are three files available for download in the 'Attached Files' section below. There is a zip file which contains the interpolated dissolved oxygen surface, an xml file which contains metadata, and a layer file which can be used to import the layer's symbology
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This dataset provides locations and values of water quality parameters from a four-day survey conducted between August 23, 2016 and August 26, 2016 using an Autonomous Underwater Vehicle (AUV) in Great South Bay, New York. Measured parameters include bottom dissolved oxygen (DO), salinity, specific conductance, water temperature, and pH. During the four day period, data was collected along 15 transects of the Great South Bay, totaling 60,480 observation points. From these point data, rasters showing the spatial distribution of bottom dissolved oxygen were generated using an interpolator in a GIS. A unique raster is provided for each day of the survey. All data files for download are available within 'Child...
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Water levels are an important driver of salt marsh processes. In 2016, pressure-transducing data loggers (LT Edge Model 3001, Solinst and Hobo Model U-20-001-01-Ti) and barometric-pressure loggers (Model 3001, Solinst) were deployed in two USGS study marshes (Mad River marsh and Hookton marsh) located in Humboldt Bay, CA. The loggers were placed as low in the tide frame as possible, while still maintaining access to the sensors at low tide. Sensors captured high tide water levels; but sensor elevation was too high to capture low tide water levels. Continuous measurements were collected on a 6-minute timestep. Sensor elevations were surveyed using Real-Time Kinematic GPS (Leica GS-15, Leica Geosystems, Norcross,...
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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, All tags...
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 the connecting rivers (Detroit River and St. Clair River). 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.
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Model archive summary (MAS) describing the development of a suspended-sediment concentration (SSC) surrogate regression model for the Mad River Slough near Arcata, CA water quality station (USGS site ID# 405219124085601). A 15-minute SSC record was computed using this regression model for the period of record (03-04-2016 to 09-10-2019). The computed SSC record can be found on NWIS Web at https://waterdata.usgs.gov/nwis/inventory/?site_no=405219124085601&agency_cd=USGS. The SSC record was used to assess ambient SSC conditions, the availability of suspended sediment to support surface deposition and elevation gain in adjacent salt marshes, and to characterize salt marsh resiliency to climate change impacts in Humboldt...
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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, All tags...


map background search result map search result map Connecting River Systems Restoration Assessment Degree Flowlines Connecting River Systems Restoration Assessment Dikes Western Lake Erie Restoration Assessment Degree Flowlines Western Lake Erie Restoration Assessment Dikes Sediment grain size and digital image calibration parameters from the mouth of the Columbia River, Oregon and Washington, 2014 Geospatial datasets of AUV observations including bottom dissolved oxygen in Great South Bay, Long Island, New York, August 2016 August 23, 2016 AUV Survey - Dissolved Oxygen Surface August 24, 2016 AUV Survey - Dissolved Oxygen Surface August 26, 2016 AUV Survey - Dissolved Oxygen Surface August 24, 2016 AUV Survey - Observation Point Data Bathymetric change analyses of the southernmost portion of the Mokelumne River, California, from 1934 to 2018 Bathymetric change analyses of the Sacramento River near Rio Vista, California, and the junction of Cache and Steamboat sloughs, from 1992 to 2004 Sediment Concentration, Water Velocity, and Suspended Particle Size and Settling Data to Estimate Estuarine Sediment Flux at Dumbarton Bridge, San Francisco Bay, CA from 2018 - 2019 Model Archive Summary for a Suspended-Sediment Concentration Surrogate Regression Model for Station 404038124131801; Hookton Slough near Loleta, CA Model Archive Summary for a Suspended-Sediment Concentration Surrogate Regression Model for Station 405219124085601; Mad River Slough near Arcata, CA Salt marsh monitoring during water years 2013 to 2019, Humboldt Bay, CA – water levels, surface deposition, elevation change, and carbon storage Surface deposition and elevation change in five salt marshes, Humboldt Bay, CA, 2014-2019 Water level and barometric pressure measurements in two salt marshes, Humboldt Bay, CA, 2016-2019 Sediment Concentration, Water Velocity, and Suspended Particle Size and Settling Data to Estimate Estuarine Sediment Flux at Dumbarton Bridge, San Francisco Bay, CA from 2018 - 2019 Bathymetric change analyses of the southernmost portion of the Mokelumne River, California, from 1934 to 2018 August 26, 2016 AUV Survey - Dissolved Oxygen Surface August 24, 2016 AUV Survey - Observation Point Data August 23, 2016 AUV Survey - Dissolved Oxygen Surface August 24, 2016 AUV Survey - Dissolved Oxygen Surface Bathymetric change analyses of the Sacramento River near Rio Vista, California, and the junction of Cache and Steamboat sloughs, from 1992 to 2004 Surface deposition and elevation change in five salt marshes, Humboldt Bay, CA, 2014-2019 Water level and barometric pressure measurements in two salt marshes, Humboldt Bay, CA, 2016-2019 Salt marsh monitoring during water years 2013 to 2019, Humboldt Bay, CA – water levels, surface deposition, elevation change, and carbon storage Connecting River Systems Restoration Assessment Dikes Connecting River Systems Restoration Assessment Degree Flowlines Western Lake Erie Restoration Assessment Dikes Western Lake Erie Restoration Assessment Degree Flowlines