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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...
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The U.S. Geological Survey (USGS) developed a regression model for estimating mean August baseflow per square mile of drainage area in cooperation with National Oceanic and Atmospheric Administration (NOAA) to help resource managers assess relative amounts of baseflow in streams with Maine Atlantic Salmon habitat (Lombard and others, 2021). The model was applied to each reach of a stream network derived from select National Hydrography Dataset Plus High-Resolution (NHDPlusHR) data in the State of Maine south of 46º 21′55″ N latitude. The spatial coverage developed from the stream network contains model-estimated mean August baseflow per square mile of drainage area as an attribute of each NHDPlusHR reach. Please...
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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 C - Lake Ontario...
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This dataset provides numerical and categorical descriptions of 48 basin characteristics for 956 basins with observed streamflow information and 9,314 ungaged basins coinciding with 12-digit hydrologic unit code (HUC12) pour points that drain to the Gulf of Mexico. Characteristics are indexed by National Hydrography Dataset (NHD) version 2 COMID (integer that uniquely identifies each feature in the NHD) and U.S. Geological Survey (USGS) station number for streamflow-gaging station, where applicable. The variables represent mutable and immutable basin characteristics and are organized by characteristic type: physical (5), hydrologic (6), categorical (12), climate (6), landscape alteration (7), and land cover (12)....
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The data are a long-term (1980-present), daily reanalysis of reference evapotranspiration, covering the globe at a spatial resolution of 0.625° Longitude x 0.5° Latitude. Reference evapotranspiration is a measure of evaporative demand, or the "thirst of the atmosphere", basically how much moisture from the surface could evaporate into overpassing air, assuming (i) that enough water is available to evaporate and (ii) the surface is covered with a specific reference crop that completely shades the ground (some other conditions also apply). For this dataset, reference evapotranspiration is derived from the daily implementation of the Penman-Monteith reference evapotranspiration equation (Monteith, 1965) as codified...
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This data release contains three data types that could potentially be used to infer spatiotemporal variability in groundwater discharge processes, along with other research and monitoring purposes: 1) Temporally continuous stream channel water temperature and adjacent streambank air temperature time series data (generally starting November 2020) as well as limited temperature data from May to October 2022 from select seeps and springs; 2) Discrete stable isotope data collected from stream water (May 2021, October/November 2021, May 2022, October/November 2022); and 3) Discrete dissolved radon gas data from stream water (collected May 2021 and May 2022). Data were collected at 51 temporary stations installed along...
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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 F - Lake Ontario...
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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 G - Lake Ontario...
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The geochemical data included here were generated as part of the Earth Mapping Resources Initiative (Earth MRI), which was developed by the U.S. Geological Survey (USGS) in response to a Federal directive calling on various Federal agencies to address potential vulnerabilities in the Nation’s supply of critical mineral resources. Earth MRI is a partnership between the USGS, State Geological Surveys, and industry coordinating with other federal agencies to accomplish the mission. The primary purpose of this initiative is to identify potentially mineralized areas containing critical minerals by gathering new basic geologic data about the United States and its territories and to make these data publicly available through...
Categories: Data, Data Release - Revised; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: Alabama, Alaska, Alaska Division of Geological & Geophysical Surveys, Arizona, Arizona Geological Survey, 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 H - Lake Ontario...
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This data release provides a map of the time-averaged shear-wave velocity in the upper 30 m (Vs30) for California using the method described by Thompson and others (2014). There are two adjustments to the algorithm described by Thompson and others (2014), which is built on the geology-based Vs30 map by Wills and Clahan (2006). In this data release, we use the Wills and others (2015) updated geology-based Vs30 map. The second change is that we have adjusted the kriging procedure so that measured Vs30 values do not affect the predictions across distinctly different geologic units. July 2022 Update (ver. 2.0) Resolution is now 3 arcseconds instead of 7.5 arcseconds Fixed a code error that prevented some of the Vs30...
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Summary: Siliceous sinter samples were collected from multiple geysers in the Upper Geyser Basin of Yellowstone National Park in 2018. These silica sinter samples were collected and analyzed as a part of a multi-year research investigation into the age and geochemistry of hydrothermal features in the Upper Geyser Basin. Samples were collected along the stratigraphy of each feature. From these samples, we report 10Be, U-series, and 14C ages. Samples collected from Giant and Castle Geyser were further analyzed for their mineralogy, major and trace element concentrations, water content, and rare earth elements. This research was conducted under Yellowstone Research Permit YELL-2018-SCI-8030 and YELL-2018-SCI-5910....
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This data release includes time series data of stage, water velocity and water quality parameters at multiple locations in the tidally-influenced reaches of the Nisqually River and McAllister Creek, and tidal channels of the Nisqually River Delta. In total, time series data were collected at multiple sites from February 11, 2016 to March 19, 2018 during separate but generally overlapping periods over a range of tidal and hydrologic conditions for augmenting hydrodynamic models that will be used to inform river delta restoration alternatives. Time series data were collected at 10 sites in the study area: 3 sites in the lower Nisqually River, defined here as the tidally-influenced reach downstream from Mounts Road;...
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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 the following 8 USGS lake gages on Lake Ontario: A – Lake Ontario (Thirtymile point) at Golden...
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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 B - Lake Ontario...
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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 D - Lake Ontario...
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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Hagerstown 30 x 60 minute quadrangle in Pennsylvania, Maryland, and part of West Virginia. The source data used to construct this imagery consists of 1-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2016 and 2023. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation. First release: 2012 Revised: February...


    map background search result map search result map Stage, water velocity and water quality data collected in the Lower Nisqually River, McAllister Creek and tidal channels of the Nisqually River Delta, Thurston County, Washington, February 11, 2016 to September 18, 2017 (ver. 1.1, December, 2019) An Updated Vs30 Map for California with Geologic and Topographic Constraints (ver. 2.0, July 2022) Summary of basin characteristics for National Hydrography Dataset, version 2 catchments in the southeastern United States, 1950 - 2010 Mineralogy, chemistry and isotope composition of silica sinter deposits from the Upper Geyser Basin, Yellowstone National Park (ver. 2.0, April 2021) Geochemical data generated by projects funded by the USGS Earth Mapping Resources Initiative (ver. 9.0, February 2024) Flood inundation map geospatial datasets for Lake Ontario, New York (ver. 2.0, November 2021) Segment B - Flood inundation map geospatial datasets for Lake Ontario, New York Segment C - Flood inundation map geospatial datasets for Lake Ontario, New York Segment D - Flood inundation map geospatial datasets for Lake Ontario, New York Segment E - Flood inundation map geospatial datasets for Lake Ontario, New York Segment F - Flood inundation map geospatial datasets for Lake Ontario, New York Segment G - Flood inundation map geospatial datasets for Lake Ontario, New York Segment H - Flood inundation map geospatial datasets for Lake Ontario, New York Spatial Coverage for Estimated Baseflow for Streams Containing Endangered Atlantic Salmon in Maine, USA (version 1.1, June 2022) Enhanced Terrain Imagery of the Hagerstown 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution (ver. 1.1, February 2024) Stream Temperature, Dissolved Radon, and Stable Water Isotope Data Collected along Headwater Streams in the Upper Neversink River Watershed, NY, USA (ver. 2.0, April 2023) Global reference evapotranspiration for food-security monitoring (ver. 2.1, April 2024) Stream Temperature, Dissolved Radon, and Stable Water Isotope Data Collected along Headwater Streams in the Upper Neversink River Watershed, NY, USA (ver. 2.0, April 2023) 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 D - Flood inundation map geospatial datasets for Lake Ontario, New York Stage, water velocity and water quality data collected in the Lower Nisqually River, McAllister Creek and tidal channels of the Nisqually River Delta, Thurston County, Washington, February 11, 2016 to September 18, 2017 (ver. 1.1, December, 2019) Segment C - Flood inundation map geospatial datasets for Lake Ontario, New York Segment G - Flood inundation map geospatial datasets for Lake Ontario, New York Segment F - Flood inundation map geospatial datasets for Lake Ontario, New York Segment H - Flood inundation map geospatial datasets for Lake Ontario, New York Enhanced Terrain Imagery of the Hagerstown 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution (ver. 1.1, February 2024) Mineralogy, chemistry and isotope composition of silica sinter deposits from the Upper Geyser Basin, Yellowstone National Park (ver. 2.0, April 2021) Flood inundation map geospatial datasets for Lake Ontario, New York (ver. 2.0, November 2021) Spatial Coverage for Estimated Baseflow for Streams Containing Endangered Atlantic Salmon in Maine, USA (version 1.1, June 2022) An Updated Vs30 Map for California with Geologic and Topographic Constraints (ver. 2.0, July 2022) Summary of basin characteristics for National Hydrography Dataset, version 2 catchments in the southeastern United States, 1950 - 2010 Geochemical data generated by projects funded by the USGS Earth Mapping Resources Initiative (ver. 9.0, February 2024) Global reference evapotranspiration for food-security monitoring (ver. 2.1, April 2024)