Skip to main content
Advanced Search

Filters: Date Range: {"choice":"week"} (X) > Types: OGC WMS Layer (X)

102 results (27ms)   

Filters
Date Types (for Date Range)
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
This data release (DR) is the update of the U.S. Geological Survey - ScienceBase data release by Bera (2022), with the processed data through September 30, 2022. The primary data for water year 2022 (a water year is the 12-month period, October 1 through September 30, in which it ends) is downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2022) and is processed following the guidelines documented in Over and others (2010). This DR also describes the Watershed Data Management (WDM) database file ARGN22.WDM. The WDM file ARGN22.WDM is an update of ARGN21.WDM (Bera, 2022) with the processed data from October 1, 2021, through September 30, 2022, appended to it. ARGN22.WDM file contains...
thumbnail
This data release is the update of the U.S. Geological Survey - ScienceBase data release by Bera and Over (2018), with the data processed through September 30, 2018. The primary data for water year 2018 (a water year is the 12-month period, October 1 through September 30, designated by the calendar year in which it ends) were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2018) and processed following the guidelines documented in Over and others (2010). Daily potential evapotranspiration (PET) is computed from average daily air temperature, average daily dewpoint temperature, daily total wind speed, and daily total solar radiation, and disaggregated to hourly PET by using the...
thumbnail
Note: this data release has been deprecated due to errors found in the ARGNXX.wdm file. Please see the detail in new data release at https://doi.org/10.5066/P146RBHK IMPORTANT NOTE: A more recent version of this data release is available from this link. This data release is the update of the U.S. Geological Survey - ScienceBase data release by Bera and Over (2016), with the processed data through September 30, 2015. The primary data for each year is downloaded from the ANL website (http://gonzalo.er.anl.gov/ANLMET/numeric/) and is processed following the guidelines documented in Over and others (2010) and Bera (2014). Hourly potential evapotranspiration computed using the computer program LXPET (Lamoreux Potential...
thumbnail
Disclaimer: this is an historic version of NLCD provided for research and citation purposes. Different release dates of NLCD cannot be used with other release dates for correct analysis. Each release of NLCD generates a complete set of directly comparable products. These products must be used together for correct analysis. You can find the latest suite of synced products at www.mrlc.gov. The National Land Cover Database 2001 land cover layer for mapping zones 01-66 was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National...
thumbnail
Handwritten notes on album caption: S.J. Kubel, H.G. Kubel. 02/02/1917. Note: In 1917, the USGS offices were located in the Adams Building, 1333-1335 F. Street, NW, Washington, D.C.
thumbnail
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. These data include parameter inputs from external sources current to 2016. For...
thumbnail
This data release (DR) is the update of the U.S. Geological Survey - ScienceBase data release by Bera (2023), with the processed data through September 30, 2023. Values for the variables and flags in the text files do not exactly match with the values in the ARGN22.wdm file during the period 01/01/1948 – 09/30/2022. ARGN22.wdm (Bera, 2023) is updated with the correct meteorological data and flag for the period 01/01/1948 – 09/30/2022. The primary data for water year 2023 (a water year is the 12-month period, October 1 through September 30, in which it ends) is downloaded from ANL website (Argonne National Laboratory, 2024) and is processed following the guidelines documented in Over and others (2010). Processed...
thumbnail
This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Saginaw Bay Restoration Assessment (SBRA) which aims to identify and rank coastal areas with the greatest potential for wetland habitat restoration. Each layer has a unique contribution to the identification of restorable wetlands. The 7 parameters (Parameter 0: Mask, Parameter 1: Hydroperiod, Parameter 2: Wetland Soils, Parameter 3: Flowlines, Parameter 4: Conservation and Recreation Lands, Parameter 5: Impervious Surfaces, and Parameter 6: Land Use) and Index Composite directly correlate to areas that are recommended for restoration. The dikes, degree...
thumbnail
The Core Research Center (CRC) was established in 1974 by the U.S. Geological Survey (USGS) to preserve valuable rock cores for use by scientists and educators from government, industry, and academia. The cylindrical sections of rock are permanently stored and available for examination and testing at the core storage and research facility in Denver, Colorado. The CRC is currently one of the largest and most heavily used public core repositories in the United States. The CRC encourages use of its facility by all interested parties. Tours of the facility are available by appointment.
thumbnail
As part of the next generation NLCD 2016 mapping process, the NLCD research team developed a suite of intermediate products that were used to generate the final NLCD Land Cover products. Some of those products also have value as independent products and are provided here. Please read the product descriptions to understand what the product represents. Questions about the NLCD 2016 land cover product can be directed to the NLCD 2016 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.
thumbnail
This data release contains about 60 million point cloud data points collected during 27 scans of a section of the western shoreline of the Shinnecock Peninsula in Suffolk County, New York. Data were collected during July and October of 2022. Data are provided as .las files with points classified as either bare earth (GROUND_SN_BRIC_BL_2022_v03.0 (2).las), vegetation (VEGETATION_SN_BRIC_BL_2022_v03.0.las) or unclassified (DEFAULT_SN_BRIC_BL_2022_v03.0.las). Users are encouraged to read the metadata and Noll and others (2024) to understand how the data were collected, registered, and classified.
thumbnail
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. These data include parameter inputs from external sources current to 2016. For...
thumbnail
This data release contains the GIS data supporting U.S. Geological Survey Open-File Report (OFR) 2005-1252, "The Geologic Map of Seattle—A Progress Report," published in 2005 by Kathy Goetz Troost, Derek B. Booth, Aaron P. Wisher, and Scott A. Shimel (https://doi.org/10.3133/ofr20051252). The OFR was prepared for the 2005 Washington Hydrogeology Symposium and describes the status of geologic mapping for Seattle, Washington, at the time. The map is the result of field mapping and compilation of subsurface geologic data during the years 1999–2004 and was funded by the City of Seattle and the U.S. Geological Survey. Data from more than 36,000 exploration points, geotechnical borings, monitoring wells, excavations,...
thumbnail
The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released four National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, and 2011. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2016. The NLCD 2016 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2016 at 2–3-year...
thumbnail
The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released four National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, and 2011. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2016. The NLCD 2016 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2016 at 2–3-year...
thumbnail
***In Press*** This data release (DR) is the update of the U.S. Geological Survey - ScienceBase data release Bera (2023), with the processed data for the period October 1, 2021, through September 30, 2022. This data release describes the watershed data management (WDM) database SC22.WDM. The precipitation data are collected from a tipping-bucket rain-gage network and the hydrologic data (stage and discharge) are collected at USGS streamflow-gaging stations in and around Salt Creek watershed in DuPage County, Illinois, as described in Bera (2014). Hourly precipitation and hydrologic data for the period October 1, 2021, through September 30, 2022, are processed following the guidelines described in Bera (2014) and...
thumbnail
This dataset represents the location of dikes within the Connecting River Systems Restoration Assessment (CRSRA) study area. For more information, see the full data release documentation and the GLCWRA webpage: https://glcwra.wim.usgs.gov/.
thumbnail
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. These data include parameter inputs from external sources current to 2016. For an updated data set, including parameter inputs up to 2023, please see: Jaenicke, M.E., Hopkins, A.L., Kowalski, K.P., Bozimowski, A.A., and Sanocki, C.A., 2024,...
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...
thumbnail
A shapefile representing greater sage-grouse (hereafter sage-grouse) space use and lek abundance in the Bi-State Distinct Population Segment (DPS) of California and Nevada. These data were derived by combining a kernel density estimation of sage-grouse lek abundance combined with another raster representing distance to lek. The 85 percent isopleth was then used to define "high space-use."
thumbnail
This data release contains the boundaries of assessment units, assessment input data, and resulting fact sheet data tables for the assessment of undiscovered oil and gas resources in the West-Central Coastal Province postsalt reservoirs of Africa. The Assessment Unit is the fundamental unit used in the National and Global Oil and Gas Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Angola, Assessment Unit, Cameroon, Congo Basin Cenozoic Postsalt Reservoirs, Congo Basin Cretaceous Carbonate Postsalt Reservoirs, All tags...


map background search result map search result map USGS Core Research Center (CRC) Collection of Core Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2015 (Deprecated) Connecting River Systems Restoration Assessment Dikes (2016) Western Lake Erie Restoration Assessment Degree Flowlines (2016) Western Lake Erie Restoration Assessment Dikes (2016) Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2018 (Deprecated) National Land Cover Database (NLCD) 2016 Products (ver. 3.0, November 2023) National Land Cover Database (NLCD) 2016 Land Cover Products National Land Cover Database (NLCD) 2016 Land Cover Science Product National Land Cover Database (NLCD) 2001 Land Cover Conterminous United States USGS employees, Adams Building. Washington, D.C. 1917. Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2022 (Deprecated) Connecting River Systems Restoration Assessment Dikes Saginaw Bay Restoration Assessment Composite Model USGS National and Global Oil and Gas Assessment Project–West-Central Coastal Province (Africa) Postsalt Reservoirs: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables GIS data for U.S. Geological Survey OFR 2005-1252, The Geologic Map of Seattle—A Progress Report Three-Dimensional Point Cloud Data Collected with a Scanning Total Station on the Western Shoreline of the Shinnecock Nation Tribal Lands, Suffolk County, New York, 2022 Meteorological Database, Argonne National Laboratory, Illinois Greater Sage-Grouse High Abundance and Space-Use in the Bi-State Distinct Population Segment Watershed Data Management (WDM) Database (SC22.WDM) for Salt Creek Streamflow Simulation, DuPage County, Illinois, January 1, 1997, through September 30, 2022 (In Press) Three-Dimensional Point Cloud Data Collected with a Scanning Total Station on the Western Shoreline of the Shinnecock Nation Tribal Lands, Suffolk County, New York, 2022 Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2022 (Deprecated) USGS employees, Adams Building. Washington, D.C. 1917. Connecting River Systems Restoration Assessment Dikes (2016) Connecting River Systems Restoration Assessment Dikes Western Lake Erie Restoration Assessment Dikes (2016) Western Lake Erie Restoration Assessment Degree Flowlines (2016) Saginaw Bay Restoration Assessment Composite Model Greater Sage-Grouse High Abundance and Space-Use in the Bi-State Distinct Population Segment National Land Cover Database (NLCD) 2001 Land Cover Conterminous United States USGS National and Global Oil and Gas Assessment Project–West-Central Coastal Province (Africa) Postsalt Reservoirs: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables USGS Core Research Center (CRC) Collection of Core National Land Cover Database (NLCD) 2016 Land Cover Science Product National Land Cover Database (NLCD) 2016 Land Cover Products National Land Cover Database (NLCD) 2016 Products (ver. 3.0, November 2023)