Filters: Types: OGC WMS Layer (X) > partyWithName: U.S. Geological Survey - ScienceBase (X)
6,819 results (24ms)
Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
|
DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
DATA ACCESS: see below under 'Related Resources' or 'Child Items' for links to specific Phase 2 Channel Islands data files. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Climatology,
Land Use Change
DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
DATA ACCESS: see below under 'Related Resources' or 'Child Items' for links to specific Phase 2 Santa Barbara County data files. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex...
DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
This dataset consists of short-term (~32 years) shoreline change rates for the north coast of Alaska between the U.S. Canadian Border and the Hulahula River. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1978 and 2010. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: ANWR,
Arctic,
Arctic National Wildlife Refuge,
Barter Island,
Beaufort Sea,
This dataset consists of short-term (~31 years) shoreline change rates for the north coast of Alaska between the Point Barrow and Icy Cape. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1979 and 2010. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arctic,
Barrow,
CMGP,
Chukchi Sea,
Coastal and Marine Geology Program,
This part of DS 781 presents data for the transgressive contours of the Punta Gorda to Point Arena, California, region. The vector data file is included in the "TransgressiveContours_PuntaGordaToPointArena.zip," which is accessible from https://doi.org/10.5066/P9PNNI9H. As part of the USGS's California State Waters Mapping Project, a 50-m grid of sediment thickness for the seafloor within the 3-nautical mile limit between Punta Gorda and Point Arena was generated from seismic-reflection data collected between 2010 and 2012, and supplemented with geologic structure (fault) information following the methodology of Wong (2012). Water depths determined from bathymetry data were added to the sediment thickness data to...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: CMHRP,
Coastal and Marine Hazards and Resources Program,
Delgada Canyon,
Distributions,
Fort Bragg,
The U.S. Geological Survey in cooperation with the Grand River Dam Authority completed a high-resolution multibeam bathymetric survey to compute a new capacity and surface-area table. The capacity and surface-area tables describe the relation between the elevation of the water surface and the volume of water that can be impounded at each given water-surface elevation. The capacity and surface area of Grand Lake O’ the Cherokees were computed from a Triangular Irregular Network (TIN) surface created in Global Mapper Version 21.0.1. The TIN surface was created from three datasets: (1) a multibeam bathymetric survey of Grand Lake O’ the Cherokees in 2019 (Hunter and others 2020), (2) a 2017 USGS bathymetric survey...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster,
Shapefile;
Tags: Bathymetry,
Bathymetry and Elevation,
Bathymetry and Elevation,
Grand Lake O' the Cherokees,
Oklahoma,
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...
This data set includes geospatial data and tables providing location, environmental, and vegetation data collected in 2017 and 2018 at the Little Saint Francis River (LSFR) chat pile restoration site, Fredericktown, Madison County, Missouri. Restoration actions are being implemeneted as part of the settlement for the Madison County Mines Superfund site to compensate the public for losses of natural resources and the services they provide as part of the Natural Resource Damage Assessment and Restoration Southeast Missouri Lead Mining District case. Data were collected prior to and during the early stages of restoration actions to restore bottomland forest habitat, reduce invasive plant species abundance, and improve...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Fredericktown,
Little Saint Francis River,
Madison County,
Madison County Mines Superfund Site,
Missouri,
Ground-based discrete snowpack measurements were collected during winter field campaigns starting in 2020. These data were collected as part of the U.S. Geological Survey (USGS) Next Generation Water Observing System (NGWOS) Upper Colorado River Basin project focusing on the relation between snow dynamics and water resources. This data release consists of three child items. Each child item contains snow depth, snow density, snow temperature, or snow water equivalent values measured discretely in the field. The data are provided in comma separated value (CSV) files.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Colorado,
Colorado River,
Hydrology,
Integrated Water Science,
Rocky Mountains,
This data set consists of the results of the statistical analysis (Asquith and others, 2020) of the remaining 10,295 water level records that met specific criteria to ensure that the water level records were representative of true groundwater conditions in the Mississippi River Valley alluvial aquifer. The data are provided in a CSV file named StatisticalAnalysis.csv, and in the Environmental Systems Research Institute (ESRI) shapefile format consisting of a group of files that have been compressed into a zip archive named StatisticalAnalysis.zip.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: groundwater,
groundwater level,
wells
Each of the downloadable files below contains spectral response accelerations at 22 periods on a grid of latitudes and longitudes that cover this geographic region. See the parent item for how Risk-Targeted Maximum Considered Earthquake (MCER) spectral response accelerations are derived from the data in these files.
A sensitivity analysis of groundwater-recharge estimates from a water-budget model was completed for the islands of Oahu and Maui, Hawaii (Johnson and others, 2023). Results of the sensitivity analysis were used to quantify the relative importance of selected model parameters to recharge estimates for three moisture zones (dry, mesic, and wet) on Oahu and Maui. This shapefile contains the boundaries of the moisture zones and boundaries of the model subareas that were used in the model simulations for Oahu. The shapefile attribute information includes the names of the land-cover types assigned to model subareas and the mean annual recharge values determined for the model subareas for the baseline scenario of the...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Hawaii,
Oahu,
Pacific Islands,
biota,
boundaries,
|
|