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This U.S. Geological Survey (USGS) data release provides discretely measured cyanotoxin, chlorophyll-a, and cyanobacterial toxin genetic data for samples collected from eleven large river sites throughout the United States, from June through October 2018. Discrete water-quality samples were analyzed for cyanotoxins (anatoxin, cylindrospermopsin, microcystin, and saxitoxin), chlorophyll-a, and cyanobacterial toxin genetics as part of a National Water-Quality Assessment Project pilot study to describe cyanobacteria and cyanotoxin occurrence in the Nation's large rivers.
Categories: Data; Tags: Anatoxin, Aquatic Biology, California, Chattahoochee River near Whitesburg, GA, Chlorophyll-a, All tags...
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Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay Nontidal Network (NTN) stations for the period 1985 through 2020. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the NTN watersheds. The file containing annual loads for all applicable NTN monitoring stations is provided in the "Attached Files" section. First posted: July...
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Note: The 2022 data release "Geospatial Characterization of Salt Marshes in Chesapeake Bay" incorporates the Blackwater region salt marsh dataset. (https://doi.org/10.5066/P997EJYB) This data release contains coastal wetland synthesis products for the geographic region of Blackwater salt marsh complex, Chesapeake Bay, Maryland. Metrics for resiliency, including unvegetated to vegetated ratio (UVVR), marsh elevation, and others, are calculated for smaller units delineated from a digital elevation model, providing the spatial variability of physical factors that influence wetland health. The U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands...
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Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring (RIM) Network stations for the period 1985 through 2021. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the RIM watersheds.
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Cross section of Cryptozoon bed, Conococheague formation, near Charlton (C 64). Large Cryptozoon, 18 inches in diameter, with small Cryptozoon proliferum above. Williamsport quadrangle. Maryland. No date.
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To quantify the potential for landward migration at the estuary level, we developed a geospatial dataset for the conterminous United States (CONUS) that identifies the boundaries for estuarine drainage areas. Nine estuarine drainage areas in south Florida were delineated using data developed by the South Florida Water Management District (SFWMD 2018). For the rest of CONUS, we used information contained within the National Fish Habitat Action Plan (NFHAP) - Coastal Spatial Framework (CSF) (National Centers for Coastal Ocean Science 2021). The original NFHAP-CSF data included 612 drainage areas, which were too many for our purposes. Therefore, we merged smaller drainage areas with larger, adjacent drainage areas...
This USGS Data Release represents geospatial data sets which were created to produce an Unvegetated to Vegetated Ratio (UVVR) for coastal wetlands of the conterminous United States (2014-2018). The following listed image products were generated 1) Annual spatial datasets (rasters) from 2014 to 2018 each containing 4 bands (Band 1: Unvegetated land fraction; Band 2: Vegetated land fraction; Band 3: Water fraction; Band 4: UVVR clipped into 3 coastal regions (Atlantic (ATL) Gulf of Mexico (GOM) and Pacific (PAC). 2) Calibration/Validation Datasets - datasets which were used in the calibration and validation of the above datasets 3) Mean of masked, multiyear composite - Mean vegetated fraction in coastal wetlands in...
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We quantified the potential area available for landward migration of tidal saline wetlands and freshwater wetlands due to sea-level rise (SLR) at the estuary scale for 166 estuarine drainage areas and at the state scale for 22 coastal states and District of Columbia. We used 2016 Coastal Change Analysis Program (C-CAP) data in combination with the future wetland migration data under the 1.5 m global SLR scenario to evaluate the potential for wetland migration into all the individual C-CAP classes and into the following six land cover categories: (1) freshwater forest (wetland); (2) freshwater marsh (wetland); (3) terrestrial forest (upland); (4) terrestrial grassland (upland); (5) agricultural croplands (upland);...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address this problem, scientists in the U.S. Geological Survey (USGS) Coastal and Marine Geology program are developing Bayesian networks as a tool to evaluate and to forecast the effects of sea-level rise on shoreline change, barrier island geomorphology, and habitat availability for species such as the piping plover (Charadrius melodus)...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Assateague Island, Assateague Island, Assateague Island National Seashore, Assateague Island National Seashore, Atlantic Ocean, All tags...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address this problem, scientists in the U.S. Geological Survey (USGS) Coastal and Marine Geology program are developing Bayesian networks as a tool to evaluate and to forecast the effects of sea-level rise on shoreline change, barrier island geomorphology, and habitat availability for species such as the piping plover (Charadrius melodus)...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Assateague Island, Assateague Island, Assateague Island National Seashore, Assateague Island National Seashore, Atlantic Ocean, All tags...
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Cross section of Cryptozoon bed, Conococheague formation, near Charlton (C 64). Large Cryptozoon, 18 inches in diameter, with small Cryptozoon proliferum above. Williamsport quadrangle. Maryland. no date.
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Montgomery County, Maryland Department of Environmental Protection has collected datasets to assess the health of streams since the early 1990s. Datasets include geomorphic stream cross-sectional surveys, fish and benthic macroinvertebrate counts and taxa abundance, and water chemistry data collected at the time of benthic and fish sampling (dissolved oxygen, pH, specific conductance, air temperature, and water temperature). Data span years 1992 to 2020 at five watersheds within the Clarksburg study area. Watersheds include a forested reference site (Soper), an urban site with centralized stormwater management (Crystal Rock), and three treatment watersheds (TR104, TR109, and Cabin Branch) within the Clarksburg Special...
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This data release contains three 10-meter resolution GeoTIFFs representing 10-meter (35-foot), 30-meter (100-foot) and 90-meter (300-foot) riparian buffer zones along shorelines, rivers, streams, and other lotic (flowing) water features. The layers are binary, where the value of each cell represents the presence or absence of the buffer zone. In addition, the data release contains shapefile layers that document the extent of corrections that were made to the data to address errors in the stream network (see processing steps section for more details). The methodology combines various fine-scale input layers, including a 1:24k stream network and Chesapeake Bay 1-meter resolution Land Use/Land Cover to approximate...
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Low-altitude aerial images were taken over an area of the Potomac River in Brunswick, Maryland using 3DR Solo unmanned aircraft systems (UAS) on October 22, 2019. The imagery was collected for the purpose of evaluating UAS assessment of river habitat data such as water depth, substrate type, and water clarity. Some photographs contain black and white targets used as ground control points (GCPs), which were surveyed by a field crew with a high-precision (GNSS) Global Navigation Satellite System and/or containing internal post processing kinematic (PPK) GPS system. This data release contains the csv files containing the latitude and longitude coordinates, in Universal Transverse Mercator Zone 18N referenced to the...
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Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring (RIM) stations for the period 1985 through 2019. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the RIM watersheds. To determine the trend in loads, the annual load results are flow normalized to integrate out the year-to-year variability in river...
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These digital images were taken over an area of the Potomac River in Brunswick, Maryland using 3DR Solo unmanned aircraft systems (UAS) on October 22, 2019. These images were collected for the purpose of evaluating UAS assessment of river habitat data such as water depth, substrate type, and water clarity. Each UAS was equipped with a Ricoh GRII digital camera for natural color photos, used to produce digital elevation models and ortho images. Some photographs contain black and white targets used as ground control points (GCPs), which were surveyed by a field crew with a high-precision (GNSS) Global Navigation Satellite System and/or containing internal post processing kinematic (PPK) GPS system. This data release...
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This shapefile contains summaries of habitat condition indices (HCI scores) from the National Fish Habitat Action Plan (NFHAP) 2010 National Assessments for 12 digit Hydrological Unit Codes (HUC12s) of the United States. Initial HCI scores were developed in three separate assessments (Conterminous U.S., Hawaii, and Alaska) due to differences in data availability across these regions. In the NFHAP 2010 Alaska assesment HCI values were already attributed to HUC12s. For this reason values for Alaska in this shapefile are identical to those represented in the Alaska assessment. To summarize data into HUC12s for the Conterminous United States and Hawaii a length-weighted average was used (i.e. the cumulative HCI score...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 2010 National Assessment, 2010 National Assessment, Alabama, Alaska, Anthropogenic factors, All tags...
This data release component contains water temperature predictions in 118 river catchments across the U.S. Predictions are from the four models described by Rahmani et al. (2020): locally-fitted linear regression, LSTM-noQ, LSTM-obsQ, and LSTM-simQ.
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Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay Nontidal Network (NTN) stations for the period 1985 through 2018. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the NTN watersheds. To determine the trend in loads, the annual load results are flow normalized to integrate out the year-to-year variability in river discharge....
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Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay Nontidal Network (NTN) stations for the period 1985 through 2018 Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the NTN watersheds. The file containing monthly loads for all applicable NTN monitoring stations is provided in the "Attached Files" section. First posted: February...


map background search result map search result map National Fish Habitat Partnership (NFHP) 2010 HCI Scores - by HUC12 Cross section of Cryptozoon bed, Conococheague formation, near Charlton (C 64). Maryland. no date. Cross section of Cryptozoon bed, Conococheague formation, near Charlton (C 64). Maryland. No date. True color aerial imagery from unmanned aerial systems (UAS) flights: Potomac River in Brunswick, Maryland on October 22, 2019 Chesapeake Bay Nontidal Network 1985-2018: Monthly loads (ver. 2.0, May 2020) Chesapeake Bay Nontidal Network 1985-2018: Short- and long-term trends Ground control points collected during unmanned aerial systems (UAS) flights: Potomac River in Brunswick Maryland on October 22, 2019 Nitrogen, phosphorus, and suspended-sediment loads and trends measured at the Chesapeake Bay River Input Monitoring stations: Water years 1985-2019 Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 5 Model predictions An Unvegetated to Vegetated Ratio (UVVR) for coastal wetlands of the Conterminous United States (2014-2018) Cyanotoxin, chlorophyll-a, and cyanobacterial toxin genetic data for samples collected at eleven large river sites throughout the United States, June through October 2018 Elevation of marsh units in Blackwater salt marsh complex, Chesapeake Bay, Maryland Stream cross-section, benthic macroinvertebrate and fish taxa counts and abundance, and water chemistry data for the Clarksburg study area in Montgomery County, Maryland, 1992 - 2020 (ver. 1.1, April 2022) Seabeach Amaranth Presence-Absence Data, Assateague Island National Seashore, 2008 Seabeach Amaranth Presence-Absence Data, Assateague Island National Seashore, 2014 Estuarine drainage area boundaries for the conterminous United States Potential landward migration of coastal wetlands in response to sea-level rise within estuarine drainage areas and coastal states of the conterminous United States Chesapeake Bay Nontidal Network 1985-2020: Annual loads (ver. 2.0, January 2023) Chesapeake Bay River Input Monitoring Network 1985-2021: WRTDS output data Chesapeake Bay Watershed 1:24k 10, 30 and 90-meter Riparian Buffer Zones True color aerial imagery from unmanned aerial systems (UAS) flights: Potomac River in Brunswick, Maryland on October 22, 2019 Ground control points collected during unmanned aerial systems (UAS) flights: Potomac River in Brunswick Maryland on October 22, 2019 Stream cross-section, benthic macroinvertebrate and fish taxa counts and abundance, and water chemistry data for the Clarksburg study area in Montgomery County, Maryland, 1992 - 2020 (ver. 1.1, April 2022) Cross section of Cryptozoon bed, Conococheague formation, near Charlton (C 64). Maryland. no date. Cross section of Cryptozoon bed, Conococheague formation, near Charlton (C 64). Maryland. No date. Chesapeake Bay Nontidal Network 1985-2018: Monthly loads (ver. 2.0, May 2020) Chesapeake Bay Nontidal Network 1985-2020: Annual loads (ver. 2.0, January 2023) Chesapeake Bay Nontidal Network 1985-2018: Short- and long-term trends Nitrogen, phosphorus, and suspended-sediment loads and trends measured at the Chesapeake Bay River Input Monitoring stations: Water years 1985-2019 Chesapeake Bay River Input Monitoring Network 1985-2021: WRTDS output data Chesapeake Bay Watershed 1:24k 10, 30 and 90-meter Riparian Buffer Zones Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 5 Model predictions An Unvegetated to Vegetated Ratio (UVVR) for coastal wetlands of the Conterminous United States (2014-2018) Cyanotoxin, chlorophyll-a, and cyanobacterial toxin genetic data for samples collected at eleven large river sites throughout the United States, June through October 2018 Estuarine drainage area boundaries for the conterminous United States Potential landward migration of coastal wetlands in response to sea-level rise within estuarine drainage areas and coastal states of the conterminous United States National Fish Habitat Partnership (NFHP) 2010 HCI Scores - by HUC12