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Information on water depth in river channels is important for a number of applications in water resource management but can be difficult to obtain via conventional field methods, particularly over large spatial extents and with the kind of frequency and regularity required to support monitoring programs. Remote sensing methods could provide a viable alternative means of mapping river bathymetry (i.e., water depth). The purpose of this study was to develop and test new, spectrally based techniques for estimating water depth from satellite image data. More specifically, a neural network-based temporal ensembling approach was evaluated in comparison to several other neural network depth retrieval (NNDR) algorithms....
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This dataset contains absolute-gravity data collected by the USGS Southwest Gravity Program, a collaborative effort of the Arizona, California, and New Mexico Water Science Centers to monitor and model groundwater-storage change. Data were collected following the methods in "Procedures for Field Data Collection, Processing, Quality Assurance and Quality Control, and Archiving of Relative and Absolute-Gravity Surveys", U.S. Geological Survey Techniques and Methods book 2, chapter D4 . All data are reviewed and approved. Additional gravity data, including network-adjusted relative- and absolute-gravity data, may be available in ScienceBase Data Releases.Gravity data are provided as two files:sgp_agdb_stations_YYYY-MM-DD.csv...
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This data release contains the model inputs, outputs, and source code (written in R) for a redeveloped PRObability of Streamflow PERmanence (PROSPER) model (version 2.0) that had previously been developed for the Pacific Northwest Region (PROSPER_PNW_2), and a raster data set which shows where influential predictor values were outside the range of calibration data. The PROSPER-PNW model, a random forest model, was redeveloped in the Ranger R package using all the original model inputs consistent with PROSPER_PNW_2 to produce annual streamflow permanence probabilities for calendar years 2004-2016 at a 30-meter stream grid resolution that approximately corresponds to flowlines consistent with the National Hydrography...
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This data release is tree-ring data near Columbine Lake and surrounding region, Grand County, Colorado (Latitude 40.27˚ N, Longitude -105.83˚ E NAD83). Re-collection of four existing tree-ring sites (Hot Sulphur Springs Psuedotsuga menziessii (HSU), Lexan Creek Picea engelmannii (LCU), Monarch Lake Pinus ponderosa (MLU), and Vasquez Mountain Psuedotsuga menziessii (VMU)) was conducted to update data to the most recent years possible and to maximize data overlap with instrumental records and with historical records of fire occurrence. At the time of collection, initial climate-growth relationships were assessed in a network of previously collected tree-ring sites (collected between 1987 and 2003) to determine which...
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In January 2018, a U.S. Geological Survey (USGS) team collected short cores and surface samples from four islands in Florida Bay, Everglades National Park, south Florida (Wingard et al. 2019). The 2018 samples were collected approximately five months after the passage of Hurricane Irma on September 10, 2017, as a category 4 storm. The four islands had also been cored in 2014. The goal of the long-term study of these four islands is to examine the impacts of climate and sea level on island formation and resilience, and to provide insights into the stability of the south Florida coastline. The passage of Hurricane Irma provided an opportunity to sample sediments deposited by the storm surge. The particle size analysis...
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Salinity levels in streams and tributaries of the Colorado River Basin have been a major concern for years. Recently, the United States Geological Survey’s (USGS) Next Generation Water Observing System (NGWOS) program expanded stream monitoring networks including the number of sites where continuous (15-minute) specific conductance is measured in the Colorado River Headwaters and Gunnison River subbasins located east of the Colorado-Utah state line (hereafter, UCOL). Salinity and total dissolved solids (TDS) can be estimated using specific conductance and water type as a proxy (McCleskey et al., 2023); thus, the UCOL is an ideal basin to apply the proxy. The data presented in this data release, including monitoring...
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Information on water depth in river channels is important for a number of applications in water resource management but can be difficult to obtain via conventional field methods, particularly over large spatial extents and with the kind of frequency and regularity required to support monitoring programs. Remote sensing methods could provide a viable alternative means of mapping river bathymetry (i.e., water depth). The purpose of this study was to develop and test new, spectrally based techniques for estimating water depth from satellite image data. More specifically, a neural network-based temporal ensembling approach was evaluated in comparison to several other neural network depth retrieval (NNDR) algorithms....
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This data is part of the Gulf Watch Alaska (GWA) long term monitoring program, benthic monitoring component and a seasonal diet study in Kenai Fjords National Park. The dataset is a comma separated file exported from a Microsoft Access database. The data consists of observations made of foraging sea otters (Enhydra lutris). Observers used Questar field model spotting scopes and binoculars to identify prey. Date, local time, dive duration, success, prey type, prey size, prey number, handling time and surface time are all recorded. Sites are in Alaska and include locations in Katmai National Park and Preserve, Kenai Fjords National Park and Prince William Sound. This data in this file were collected 2012-2016.
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Product Description: This dataset provides maps of peak biomass carbon stock (C) in gC/m2 and net primary productivity (NPP) in gC/m2/yr of coastal herbaceous wetlands at a resolution of 30 m across the conterminous United States (CONUS) for 2015. Aboveground, belowground, and total peak biomass C and NPP are provided for tidal herbaceous wetlands. Data is presented for 1. all herbaceous/emergent marshes, 2. palustrine emergent marshes and 3. estuarine emergent marshes. Background: Spatial assessments of greenhouse gas emissions and carbon sequestration in natural ecosystems are necessary to develop climate mitigation strategies. Regional and national-level assessments of carbon sequestration require high-resolution...
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Landforms along the Pacific, Gulf of Mexico, and Atlantic coastlines for the conterminous United States are attributed with the relative vulnerability of horizontal erosion due to sea-level rise to characterize coastal zone stability. The position and extent of landforms are geospatially indexed as line-events where these coastal zone features are intersected by the linear-referenced 2013 - 2014 U.S. Geological Survey National Hydrography Dataset Coastline, which corresponds to the National Oceanic and Atmospheric Administration (NOAA) 2013 - 2014 mean high water level datum delineated in intertidal zones open to oceans, behind barrier coasts in bays, lagoons, and estuaries, and sometimes where tidal currents reach...
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Subaerial and submarine landslides adjacent to, and within, Glacier Bay, Glacier Bay National Park and Preserve (GBNPP), Alaska pose a threat to the public because of their potential to generate ocean waves that could impact marine activities. Although historical records of tsunamis generated by landslides in GBNPP are uncommon, there are records that document the destructive power of at least three landslide-generated tsunamis in Lituya Bay on the west side of the park (Miller, 1960; Fritz, 2001). Additionally, the threat of a rapid failure of a slow-moving subaerial bedrock landslide in Tidal Inlet off the West Arm of Glacier Bay has drawn attention because of its tsunamigenic potential that could affect boat...
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These data are daily summary checklists of all bird species observed at U.S. Geological Survey, Alaska Science Center (ASC) field camps. Data include species observation details such as observers, dates, location, and number of individuals seen. Field camps were located in Northern, Western, Interior, Southwest, Southcentral, and Southeast Alaska, Baja California Sur Mexico, and northern Russia. The data are organized in eight child items (one for each region), each with checklists in a tabular format. Version History: First release: May 2021 Revised: February 2022 (ver. 2.0) Revised: February 2023 (ver. 3.0)
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This data package includes three child items with data from montane-nesting bird surveys in the Arctic Network of National Parks in Alaska. Child Item One: "Data and Photographs from the Inventory of Montane-nesting Birds in the Arctic Network of National Parks, Alaska - Cape Krusenstern, Gates of the Arctic, Kobuk Valley, and Noatak". The data include (1) characteristics of bird survey sites, (2) vegetation classification at survey sites, (3) shorebird and predator detection surveys, (4) all bird species detection surveys, (5) bird breeding observations, (6) taxonomic details of detected birds, and 7) point count habitat photo index. Additionally, habitat photographs are included. Child Item Two: "Data and Photographs...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Alaska, Alpine/Tundra, Animals/Vertebrates, Avian abundance, Baird Mountains, All tags...
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The two-dimensional (2D) hydraulic flow model iRIC FaSTMECH (Nelson, 2003) was used to simulate hydraulic conditions in the Kootenai River near Bonners Ferry, ID during white sturgeon spawning season during 2017, 2018, 2019, 2020, and 2022. Details on model development and calibration in FaSTMECH can be found in other studies (Dudunake and others, in progress; Barton and others, 2005; Barton and others, 2007; Logan and others, 2011; McDonald and others, 2016; McDonald and Nelson, 2018; McDonald and Nelson, 2020). Simulations were run with a 1-meter grid and six-hour time-steps from April 25 to August 15 of 2017, 2018, 2019, 2020, and 2022. Simulated depths and depth-averaged velocities were exported.
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Bonners Ferry, Boundary, Hydrology, Idaho, Kootenai, All tags...
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This dataset contains genomic records from 184 California Gnatcatchers (Polioptila californica) collected at 18 sites in southern California (USA), 13 sites in Baja California (Mexico), and 17 sites in Baja California Sur (Mexico). Genomic markers were generated from ddRAD loci (Peterson and others, 2012) and analyzed using the Stacks v2.53 (Catchen and others, 2013) pipeline. The genotypes for all samples are provided in a VCF file with 84,125 independent loci and 7 percent missing data. A companion file is provided with sample names and occurrence designations. These files may be opened and edited in a text editor program, such as Notepad (PC) or BBEdit (Mac). The .vcf file can be loaded into the Stacks population...
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The U.S. Geological Survey (USGS) Inland Bathymetric and Topobathymetric Survey Inventory, v. 3 includes a survey records inventory and dataset footprints (when available) for inland bathymetric and topobathymetric surveys published by the USGS for the conterminous US, Alaska, and Puerto Rico. Survey records include water feature, state, publication title, data vintage, mission, online linkage to reports and datasets, collection methods, survey and survey product resolution, datums, geoid, and accuracy information if known. This database, identified as the USGS Inland Bathymetric and Topobathymetric Survey Inventory, v.3, Update, has been approved for release by the U.S. Geological Survey (USGS). Although this database...
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This data release comprises the tabular data used to develop regression equations for estimating selected low-flow statistics for ungaged streams in Ohio that are not substantially affected by regulation, diversions, or other anthropogenic influences, and the geographic information systems (GIS) layer to implement them in the U.S. Geological Survey StreamStats application (https://streamstats.usgs.gov). A statewide recharge-based estimate of streamflow variability index (SVI) was used as an explanatory variable in developing many of the equations to estimate selected low-flow statistics at ungaged sites in Ohio and is included as part of this data release. Regressions, using SVI as the explanatory variable, were...
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Information on water depth in river channels is important for a number of applications in water resource management but can be difficult to obtain via conventional field methods, particularly over large spatial extents and with the kind of frequency and regularity required to support monitoring programs. Remote sensing methods could provide a viable alternative means of mapping river bathymetry (i.e., water depth). The purpose of this study was to develop and test new, spectrally based techniques for estimating water depth from satellite image data. More specifically, a neural network-based temporal ensembling approach was evaluated in comparison to several other neural network depth retrieval (NNDR) algorithms....
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This polygon dataset represents the tidal water shoreline of the Chesapeake Bay and its tributaries. It is based primarily on shoreline data with horizontal positional accuracy of +/- 2meters provided by the Virginia Institute of Marine Science (VIMS) Center for Coastal Resources Management (CCRM), with minor modifications in seven locations. In six instances, the modifications were made using the National Oceanic and Atmospheric Administration's (NOAA) zero-foot sea level rise dataset, which represent mean higher high tide. In one instance, a modification was made using the Chesapeake Bay Program Modified Watershed Boundary layer. These modifications were as follows: - Added the Delaware portion of the tidal Nanticoke...
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Information on water depth in river channels is important for a number of applications in water resource management but can be difficult to obtain via conventional field methods, particularly over large spatial extents and with the kind of frequency and regularity required to support monitoring programs. Remote sensing methods could provide a viable alternative means of mapping river bathymetry (i.e., water depth). The purpose of this study was to develop and test new, spectrally based techniques for estimating water depth from satellite image data. More specifically, a neural network-based temporal ensembling approach was evaluated in comparison to several other neural network depth retrieval (NNDR) algorithms....


map background search result map search result map Linear-referenced Geomorphology and Relative Vulnerability to Erosion at the 2013 – 2014 conterminous U.S. Gulf of Mexico National Hydrography Dataset Coastline Gulf Watch Alaska, Nearshore Monitoring Component: Sea Otter Foraging Observations from Prince William Sound, Katmai National Park and Preserve, and Kenai Fjords National Park, 2012-2016 U.S. Geological Survey Inland Bathymetric and Topobathymetric Survey Inventory, version 3 Update Southwest Gravity Program Absolute-Gravity Database (updated 2024-09-06) Polioptila californica Genotype Data from California, USA and Baja California, Mexico Biomass Carbon Stock and Net Primary Productivity in Tidal Herbaceous Wetlands of the Conterminous United States White sturgeon fine-scale habitat model archive, Kootenai River near Bonners Ferry, Idaho, 2017-2022 Chesapeake Bay Tidal Shoreline, Chesapeake Bay Program Phase 7 Model Supporting data for low-flow statistics computed for streamflow gages and methods for estimating selected low-flow statistics for ungaged stream locations in Ohio, water years 1975–2020 Data from the Inventory of Montane-nesting Birds in the Arctic Network of National Parks, Alaska Updated Probability of Streamflow Permanence (PROSPER) Model Output Layers for the Pacific Northwest region, 2004 - 2016 Bird Species Checklists from USGS Alaska Science Center Field Camps Climate-Growth Analysis for Updated and Existing Tree-ring Network near Columbine Lake, Grand County, Colorado Upper Colorado River Basin: Monitoring sites and water chemistry data used to develop a specific conductance - salinity proxy model Rock mass quality and structural geology observations in Glacier Bay National Park and Preserve, Alaska from the summers of 2021 and 2022 Particle size distribution data from Florida Bay, Everglades National Park, Florida - 2024 analyses of samples collected following Hurricane Irma (2017) Maps of water depth derived from satellite images of selected reaches of the American, Colorado, and Potomac Rivers acquired in 2020 and 2021 (ver. 2.0, September 2024) Maps of water depth derived from satellite images of the American River acquired in October 2020 Maps of water depth derived from satellite images of the Colorado River acquired in March and April of 2021 Maps of water depth derived from satellite images of the Potomac River acquired in July and August of 2021 White sturgeon fine-scale habitat model archive, Kootenai River near Bonners Ferry, Idaho, 2017-2022 Maps of water depth derived from satellite images of the American River acquired in October 2020 Maps of water depth derived from satellite images of the Colorado River acquired in March and April of 2021 Particle size distribution data from Florida Bay, Everglades National Park, Florida - 2024 analyses of samples collected following Hurricane Irma (2017) Maps of water depth derived from satellite images of the Potomac River acquired in July and August of 2021 Climate-Growth Analysis for Updated and Existing Tree-ring Network near Columbine Lake, Grand County, Colorado Rock mass quality and structural geology observations in Glacier Bay National Park and Preserve, Alaska from the summers of 2021 and 2022 Chesapeake Bay Tidal Shoreline, Chesapeake Bay Program Phase 7 Model Upper Colorado River Basin: Monitoring sites and water chemistry data used to develop a specific conductance - salinity proxy model Supporting data for low-flow statistics computed for streamflow gages and methods for estimating selected low-flow statistics for ungaged stream locations in Ohio, water years 1975–2020 Gulf Watch Alaska, Nearshore Monitoring Component: Sea Otter Foraging Observations from Prince William Sound, Katmai National Park and Preserve, and Kenai Fjords National Park, 2012-2016 Maps of water depth derived from satellite images of selected reaches of the American, Colorado, and Potomac Rivers acquired in 2020 and 2021 (ver. 2.0, September 2024) Polioptila californica Genotype Data from California, USA and Baja California, Mexico Southwest Gravity Program Absolute-Gravity Database (updated 2024-09-06) Updated Probability of Streamflow Permanence (PROSPER) Model Output Layers for the Pacific Northwest region, 2004 - 2016 Data from the Inventory of Montane-nesting Birds in the Arctic Network of National Parks, Alaska Linear-referenced Geomorphology and Relative Vulnerability to Erosion at the 2013 – 2014 conterminous U.S. Gulf of Mexico National Hydrography Dataset Coastline Biomass Carbon Stock and Net Primary Productivity in Tidal Herbaceous Wetlands of the Conterminous United States U.S. Geological Survey Inland Bathymetric and Topobathymetric Survey Inventory, version 3 Update Bird Species Checklists from USGS Alaska Science Center Field Camps