--- - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'USGS Hydro-NHD is a tile cache base map that combines hydrography data in The National Map from the National Hydrography Dataset (NHD) along with the Watershed Boundary Dataset (WBD). The NHD is a comprehensive set of digital spatial data that encodes information about naturally occurring and constructed bodies of surface water (lakes, ponds, and reservoirs), paths through which water flows (canals, ditches, streams, and rivers), and related entities such as point features (springs, wells, stream gages, and dams). The information encoded about these features includes classification and other characteristics, delineation, geographic name, position and related measures, a "reach code" through which other information can be related to the NHD, and the direction of water flow. The network of reach codes delineating water and transported material flow allows users to trace movement in upstream and downstream directions. In addition to this geographic information, the dataset contains metadata that supports the exchange of future updates and improvements to the data. The NHD supports many applications, such as making maps, geocoding observations, flow modeling, data maintenance, and stewardship. For additional information on NHD, go to http://nhd.usgs.gov/. The Watershed Boundary Dataset (WBD) is a companion dataset to the NHD. It defines the perimeter of drainage areas formed by the terrain and other landscape characteristics. Drainage areas are nested within each other so that a large drainage area, such as the Upper Mississippi River, will be composed of multiple smaller drainage areas, such as the Wisconsin River. Each of these smaller areas can be further subdivided into smaller and smaller drainage areas. The WBD uses six different levels in this hierarchy, with the smallest averaging about 30,000 acres. The WBD is made up of polygons nested into six levels of data, respectively defined by Regions, Subregions, Basins, Subbasins, Watersheds, and Subwatersheds. For additional information on WBD, go to http://nhd.usgs.gov/wbd.html.' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usgs-hydro-nhd-base-map-service-from-the-national-map.yaml identifier: usgs-hydro-nhd-base-map-service-from-the-national-map lat_max: 71.5 lat_min: 17.625 lon_max: -65.0 lon_min: -179.999 name: USGS Hydro-NHD Base Map Service from The National Map native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-hydro-nhd-base-map-service-from-the-national-map url: http://basemap.nationalmap.gov/arcgis/rest/services/USGSHydroNHD/MapServer variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'The USGS National Hydrography Dataset (NHD) service from The National Map (TNM) is a comprehensive set of digital spatial data that encodes information about naturally occurring and constructed bodies of surface water (lakes, ponds, and reservoirs), paths through which water flows (canals, ditches, streams, and rivers), and related entities such as point features (springs, wells, stream gages, and dams). The information encoded about these features includes classification and other characteristics, delineation, geographic name, position and related measures, a "reach code" through which other information can be related to the NHD, and the direction of water flow. The network of reach codes delineating water and transported material flow allows users to trace movement in upstream and downstream directions. In addition to this geographic information, the dataset contains metadata that supports the exchange of future updates and improvements to the data. The NHD is available nationwide in two seamless datasets, one based on 1:24,000-scale maps and referred to as high resolution NHD, and the other based on 1:100,000-scale maps and referred to as medium resolution NHD. Additional selected areas in the United States are available based on larger scales, such as 1:5,000-scale or greater, and referred to as local resolution NHD. The NHD from The National Map supports many applications, such as making maps, geocoding observations, flow modeling, data maintenance, and stewardship. For additional information on the NHD, go to http://nhd.usgs.gov/index.html. The Watershed Boundary Dataset (WBD) is a companion dataset to the NHD. It defines the perimeter of drainage areas formed by the terrain and other landscape characteristics. The drainage areas are nested within each other so that a large drainage area, such as the Upper Mississippi River, will be composed of multiple smaller drainage areas, such as the Wisconsin River. Each of these smaller areas can further be subdivided into smaller and smaller drainage areas. The WBD uses six different levels in this hierarchy, with the smallest averaging about 30,000 acres. The WBD is made up of polygons nested into six levels of data respectively defined by Regions, Subregions, Basins, Subbasins, Watersheds, and Subwatersheds. For additional information on the WBD, go to http://nhd.usgs.gov/wbd.html. The National Map hydrography data is commonly combined with other data themes, such as boundaries, elevation, structures, and transportation, to produce general reference base maps. The National Map viewer allows free downloads of public domain NHD and WBD data in either Esri File or Personal Geodatabase, or Shapefile formats.' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usgs-hydrography-nhd-overlay-map-service-from-the-national-map-national-geospatial-data-asset-.yaml identifier: usgs-hydrography-nhd-overlay-map-service-from-the-national-map-national-geospatial-data-asset- lat_max: 71.5 lat_min: 17.625 lon_max: -65.0 lon_min: -179.999 name: 'USGS Hydrography (NHD) Overlay Map Service from The National Map - National Geospatial Data Asset (NGDA) National Hydrography Dataset (NHD)' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-hydrography-nhd-overlay-map-service-from-the-national-map-national-geospatial-data-asset- url: http://services.nationalmap.gov/arcgis/rest/services/nhd/MapServer variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'Hydrologic landscape regions (HLRs) in the United States were delineated by using geographic information system (GIS) tools and statistical methods including principal components and cluster analyses. The GIS and statistical analyses were applied to land-surface form, geologic texture (permeability of the soil and bedrock), and climate variables that describe the physical and climatic setting of 43,931 small (roughly 200 square kilometers) watersheds in the United States. The analyses then grouped the watersheds into 20 noncontiguous regions (the HLRs) on the basis of similarities in land-surface form, geologic texture, and climate characteristics. This hydrologic landscape regions dataset contains for each of the 43,931 watersheds the (1) watershed identification number, (2) land-surface form, geologic texture, and climate characteristics for each watershed, and (3) hydrologic landscape region number for each watershed.' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usgs-hydrologic-landscape-regions-of-the-united-states.yaml identifier: usgs-hydrologic-landscape-regions-of-the-united-states lat_max: 75.0 lat_min: 25.0 lon_max: -60.0 lon_min: -180.0 name: Hydrologic landscape regions of the United States native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-hydrologic-landscape-regions-of-the-united-states url: http://water.usgs.gov/GIS/dsdl/hlrshape.zip variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: The data portrays the results of cases before the commission in which an Indian tribe proved its original tirbal occupancy of a tract within the continental United States. The number on each tract refers to the Indian Land Area Map Index in the commission's final report. description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usgs-indian-land-areas-judically-established-1978.yaml identifier: usgs-indian-land-areas-judically-established-1978 lat_max: 51.025509 lat_min: 24.19059 lon_max: -72.559611 lon_min: -127.870128 name: Indian Land Areas Judicially Established 1978 native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-indian-land-areas-judically-established-1978 url: http://commons.wim.usgs.gov/arcgis/rest/services/AIR_NDGA/JudiciallyEstablished1978/MapServer variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'ITIS is an easily accessible database with reliable information on species names and their hierarchical classification that is publicly accessible with unlimited free use. The database is reviewed periodically to ensure high quality with valid classifications, revisions, and additions of newly described species. The ITIS includes documented taxonomic information of flora and fauna from both aquatic and terrestrial habitats. For each scientific name, ITIS includes the authority, taxonomic rank, a unique taxonomic serial number, data source information, data quality indicators, and associated synonyms and vernacular names where available. Geographic coverage is worldwide, with an emphasis on North American taxa. The ITIS Web Services provide the ability to search and retrieve data from ITIS by providing access to the data behind the ITIS web site (http://www.itis.gov/web_service.html#). There is also web interface for viewing reports, and several options for text downloads. Each part of the basic WSDL web services is provided by a web service API, which defines the name, input to, and output from the service for a particular data request. For more information visit http://www.itis.gov/ws_description.html . To develop a web service client visit http://www.itis.gov/ws_develop.html .' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usgs-integrated-taxonomic-information-system-itis1abf7.yaml identifier: usgs-integrated-taxonomic-information-system-itis1abf7 lat_max: 90.0 lat_min: -90.0 lon_max: 180.0 lon_min: -180.0 name: Integrated Taxonomic Information System (ITIS) native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-integrated-taxonomic-information-system-itis1abf7 url: http://www.itis.gov/web_service.html# variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'The USGS Land Cover service from The National Map (TNM) consists of NLCD 1992, 2001, 2006, and 2011, which are National Land Cover Database (NLCD) classification schemes based primarily on Landsat satellite data along with ancillary data sources, such as topography, census and agricultural statistics, soil characteristics, wetlands, and other land cover maps. NLCD 1992 is a 21-class land cover classification scheme that has been applied consistently across the conterminous U.S. at a spatial resolution of 30 meters. NLCD 2001 is a 16-class land cover classification scheme that also has been applied to the conterminous U.S. at a spatial resolution of 30 meters, and includes Alaska, Hawaii, and Puerto Rico. NLCD 2006 quantified land cover change for the conterminous U.S. between the years 2001 to 2006. Generation of NLCD 2006 helped identify and correct issues in the 2001 land cover and impervious surface products only, and no changes were made to the 2001 canopy product. NLCD 2011 is the most recent national land cover product based primarily on a decision-tree classification of 2011 Landsat satellite data. The National Map viewer allows free downloads of public domain, 30-meter resolution land cover data by 3x3 degree tiles in GeoTIFF format for the United States and Puerto Rico. For additional information on land cover products, go to http://www.mrlc.gov.' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usgs-land-cover-nlcd-overlay-map-service-from-the-national-map-national-geospatial-data-asset-.yaml identifier: usgs-land-cover-nlcd-overlay-map-service-from-the-national-map-national-geospatial-data-asset- lat_max: 71.5 lat_min: 17.625 lon_max: -65.0 lon_min: -179.999 name: 'USGS Land Cover (NLCD) Overlay Map Service from The National Map - National Geospatial Data Asset (NGDA) National Land Cover Database (NLCD)' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-land-cover-nlcd-overlay-map-service-from-the-national-map-national-geospatial-data-asset- url: http://raster.nationalmap.gov/arcgis/rest/services/LandCover/USGS_EROS_LandCover_NLCD/MapServer variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'Biomass carbon includes carbon stored in above- and below-ground live plant components (such as leaf, branch, stem and root) as well as in standing and down dead woody debris, and fine litter. The data of this variable were generated by the USGS LandCarbon project using the General Ensemble Biogeochemical Modeling System (GEMS) based on selected IPCC emissions scenarios, biogeochemical models, and climate datasets. The spatial extent is the conterminous United States and the temporal extent is from 1992 through 2050. These data are projected to Albers Equal Area in the NAD83 datum at a resolution of 2000 meters and are spatially gridded in GeoTiff format. Units of measure are expressed in g Carbon/m2.' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usgs-landcarbon-biomass-c.yaml identifier: usgs-landcarbon-biomass-c lat_max: 47.975864 lat_min: 22.7541 lon_max: -74.013589 lon_min: -127.922278 name: Biomass Carbon Stock native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-landcarbon-biomass-c url: http://landcarbon.org/categories/biomass-c/download/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'The burn area and severity data were stochastically generated using a probabilistic ignition model and mechanistic fire-spread model. The ignition model consisted of a general linear model with a binary response, constructed by relating daily ignition locations in the monitoring trends in burn severity database (MTBS; Eidenshink et al 2007) to predictor variables including daily weather, fuel moisture, fire behavior indices, monthly and seasonal climate variables, and vegetation and land cover. In the simulations, the ignition model was used to stochastically generate ignition locations. After a location was generated, fires were spread using the minimum-travel time algorithm (MTT; Finney 2002) which generates spatially-explicit burn scars in relation to weather and fuel moisture conditions, fuels, and topography. Simulations were first calibrated using historic, observed weather data from 1984-2008 (Maurer et al. 2002) and then future projections were made using downscaled GCM data (Maurer et al. 2007). For this assessment, the climate change projections included data produced by the CCCma CGCM 3.1, CSIRO–Mk3.0, MIROC 3.2-medres GCMs for the A1B, A2, and B1 scenarios. Fuels and vegetation data were provided by the LANDFIRE project (Rollins 2008). Detailed information about the methods used to simulate burned area can be found in Hawbaker and Zhu (2012). Eidenshink, J., B. Schwind, K. Brewer, Z Zhu, B. Quayle and S. Howard, 2007, A project for monitoring trends in burn severity: Fire Ecology, v. 3, no. 1, p. 3–21, doi:10.4996/fireecology.0301003. Finney, M.A., 2002, Fire growth using minimum travel time methods: Canadian Journal of Forest Research, v. 32, no. 8, p. 1420–1424, doi:10.1139/x02-068. Hawbaker, T. and Z. Zhu. 2012. Projected Future Wildland Fires and Emissions for the Western United States. Chapter 8 in Zhu, Zhiliang, and Reed, B.C., eds., 2012, Baseline and projected future carbon storage and greenhouse-gas fluxes in ecosystems of the Western United States: U.S. Geological Survey Professional Paper 1797, 192 p. (Also available at http://pubs.usgs.gov/pp/1797/.) Maurer, E.P., L. Brekke, T. Pruitt, and P.B. Duffy, 2007, Fine-resolution climate projections enhance regional climate change impact studies: Eos, v. 88, no. 47, p. 504. Maurer, E.P., A.W. Wood, J.C. Adam, D.P. Lettenmaier, and B. Nijssen, 2002, A long-term hydrologically based dataset of land surface fluxes and states for the conterminous United States: Journal of Climate, v. 15, no. 22, p. 3237–3251, doi:10.1175/1520-0442(2002)0152.0.CO;2. Rollins, M.G., 2009, LANDFIRE; A nationally consistent vegetation, wildland fire, and fuel assessment: International Journal of Wildland Fire, v. 18, no. 3, p. 235–249, doi:10.1071/WF08088.' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usgs-landcarbon-burn-area.yaml identifier: usgs-landcarbon-burn-area lat_max: 47.975864 lat_min: 22.7541 lon_max: -74.013589 lon_min: -127.922278 name: LandCarbon Conterminous United States Burned Area and Severity Mosaics 2001-2050 Metadata native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-landcarbon-burn-area url: http://landcarbon.org/categories/burn-area/download/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: Methane (CH4) flux is the net rate of methane exchange between an ecosystem and the atmosphere. Data of this variable were generated by the USGS LandCarbon project using the General Ensemble Biogeochemical Modeling System (GEMS) based on modelled Land-Use/Land-Cover data and selected IPCC emission scenarios. The spatial extent is the conterminous United States and the temporal extent is from 1992 through 2050. Units of measure are expressed in g CH4/m2/yr. Data are projected to Albers Equal Area in the NAD83 datum at a resolution of 2000 meters and are spatially gridded in GeoTiff format. description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usgs-landcarbon-ch4-flux.yaml identifier: usgs-landcarbon-ch4-flux lat_max: 47.975864 lat_min: 22.7541 lon_max: -74.013589 lon_min: -127.922278 name: Methane Flux native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-landcarbon-ch4-flux url: http://landcarbon.org/categories/ch4-flux/download/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'Total ecosystem carbon includes above- and below-ground live plant components (such as leaf, branch, stem and root), dead biomass (such as standing dead wood, down woody debris, fine ground litter), and soil organic carbon (in fast, slow and passive pools). The data of this variable were generated by the USGS LandCarbon project using the General Ensemble Biogeochemical Modeling System (GEMS) based on selected IPCC emissions scenarios, biogeochemical models, and climate datasets. The spatial extent is the conterminous United States and the temporal extent is from 1992 through 2050. These data are projected to Albers Equal Area in the NAD83 datum at a resolution of 2,000 meters and are spatially gridded in GeoTiff format. Units of measure are expressed in g Carbon/m2' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usgs-landcarbon-ecosystem-c.yaml identifier: usgs-landcarbon-ecosystem-c lat_max: 47.975864 lat_min: 22.7541 lon_max: -74.013589 lon_min: -127.922278 name: Total Ecosystem Carbon Stock native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-landcarbon-ecosystem-c url: http://landcarbon.org/categories/ecosystem-c/download/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'Source data for this variable were obtained from the USGS Land Cover Trends Project. Annual maps of LULC were extrapolated for baseline years (1992 to 2005) and modelled for future years (2006-2050) based on selected IPCC emissions scenarios. The spatial extent is the conterminous United States and the temporal extent is from 1992 through 2050. These data are projected to Albers Equal Area in the NAD83 datum at a resolution of 250 meters and are spatially gridded in GeoTiff format. LULC classes: Open Water, Urban/Developed, Mechanically Disturbed National Forest, Mechanically Disturbed Other Public Land, Mechanically Disturbed Private Land, Mining, Barren, Deciduous Forest, Evergreen Forest, Mixed Forest, Grassland, Shrubland, Cultivated Crop, Hay/Pasture, Herbaceous Wetland, Woody Wetland, Ice/Snow.' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usgs-landcarbon-land-use.yaml identifier: usgs-landcarbon-land-use lat_max: 47.975864 lat_min: 22.7541 lon_max: -74.013589 lon_min: -127.922278 name: LandCarbon Conterminous United States Land-Use/Land-Cover Mosaics 1992-2050 native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-landcarbon-land-use url: http://landcarbon.org/categories/land-use/download/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: Nitrous Oxide (N20) flux is the net rate of nitrous oxide exchange between an ecosystem and the atmosphere. Data of this variable were generated by the USGS LandCarbon project using the General Ensemble Biogeochemical Modeling System (GEMS) based on modelled Land-Use/Land-Cover data and selected IPCC emission scenarios. The spatial extent is the conterminous United States and the temporal extent is from 1992 through 2050. Units of measure are expressed in g N2O/m2/yr. Data are projected to Albers Equal Area in the NAD83 datum at a resolution of 2000 meters and are spatially gridded in GeoTiff format. description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usgs-landcarbon-n2o-flux.yaml identifier: usgs-landcarbon-n2o-flux lat_max: 47.975864 lat_min: 22.7541 lon_max: -74.013589 lon_min: -127.922278 name: Nitrous Oxide Flux native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-landcarbon-n2o-flux url: http://landcarbon.org/categories/n2o-flux/download/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'Net Ecosystem Carbon Flux is defined as the year-over-year change in Total Ecosystem Carbon Stock, or the net rate of carbon exchange between an ecosystem and the atmosphere. The data of this variable were generated by the USGS LandCarbon project using the General Ensemble Biogeochemical Modeling System (GEMS) based on selected IPCC emissions scenarios, biogeochemical models, and climate datasets. The spatial extent is the conterminous United States and the temporal extent is from 1993 through 2050. These data are projected to Albers Equal Area in the NAD83 datum at a resolution of 2000 meters and are spatially gridded in GeoTiff format. Units of measure are expressed in g Carbon/m2/yr. Positive values indicate sequestration of carbon from the atmosphere (carbon sink).' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usgs-landcarbon-net-ecosystem-c-balance.yaml identifier: usgs-landcarbon-net-ecosystem-c-balance lat_max: 47.975864 lat_min: 22.7541 lon_max: -74.013589 lon_min: -127.922278 name: Net Ecosystem Carbon Flux native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-landcarbon-net-ecosystem-c-balance url: http://landcarbon.org/categories/net-ecosystem-c-balance/download/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'Soil organic carbon (SOC) is the carbon held within soil organic constituents (i.e., products produced as dead plants and animals decompose and the soil microbial biomass). Only SOC in the top 20-cm soil layer is estimated for this variable. Data of this variable were generated by the USGS LandCarbon project using the General Ensemble Biogeochemical Modeling System (GEMS) based on selected IPCC emissions scenarios, biogeochemical models, and climate datasets. The spatial extent is the conterminous United States and the temporal extent is from 1992 through 2050. These data are projected to Albers Equal Area in the NAD83 datum at a resolution of 2000 meters and are spatially gridded in GeoTiff format. Units of measure are expressed in g Carbon/m2' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usgs-landcarbon-soil-c.yaml identifier: usgs-landcarbon-soil-c lat_max: 47.975864 lat_min: 22.7541 lon_max: -74.013589 lon_min: -127.922278 name: Soil Organic Carbon Stock native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-landcarbon-soil-c url: http://landcarbon.org/categories/soil-c/download/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: Source data for forest stand age were obtained from the USDA Forest Inventory and Analysis (FIA) DataMart and were projected for future scenarios based on selected IPCC emission scenarios. The spatial extent is the conterminous United States and the temporal extent is from 2006 through 2050. The data of this variable are spatially gridded data in GeoTiff format and have been re-projected to Albers Equal Area in the NAD83 datum at a resolution of 2000 meters. description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usgs-landcarbon-stand-age.yaml identifier: usgs-landcarbon-stand-age lat_max: 47.975864 lat_min: 22.7541 lon_max: -74.013589 lon_min: -127.922278 name: Forest Stand Age native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-landcarbon-stand-age url: http://landcarbon.org/categories/stand-age/download/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This map layer portrays major dams of the United States, including Puerto Rico and the U.S. Virgin Islands. The map layer was created by extracting dams 50 feet or more in height, or with a normal storage capacity of 5,000 acre-feet or more, or with a maximum storage capacity of 25,000 acre-feet or more, from the 79,777 dams in the U.S. Army Corps of Engineers National Inventory of Dams. This is a replacement for the April 1994 map layer.' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usgs-major-dams-of-the-united-states.yaml identifier: usgs-major-dams-of-the-united-states lat_max: 69.0 lat_min: 18.0 lon_max: -66.0 lon_min: -163.0 name: 'Major Dams of the United States - Direct Download' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-major-dams-of-the-united-states url: http://dds.cr.usgs.gov/pub/data/nationalatlas/dams00x020_nt00010.tar.gz variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'Maps portraying the flight paths for low altitude transects conducted from small aircraft over the National Park Service’s Arctic Network (Bering Land Bridge National Preserve, Cape Krusenstern National Monument, Gates of the Arctic National Park and Preserve, Kobuk Valley National Park, and Noatak National Preserve) and the U.S. Fish and Wildlife Service’s Selawik National Wildlife Refuge in northwest Alaska.' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usgs-map-images-portraying-flight-paths-of-low-altitude-transects-over-the-arctic-network-of-na-2013.yaml identifier: usgs-map-images-portraying-flight-paths-of-low-altitude-transects-over-the-arctic-network-of-na-2013 lat_max: 68.87 lat_min: 64.78 lon_max: -149.05 lon_min: -169.22 name: 'Map images portraying flight paths of low-altitude transects over the Arctic Network of national park units and Selawik National Wildlife Refuge, Alaska, July 2013' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-map-images-portraying-flight-paths-of-low-altitude-transects-over-the-arctic-network-of-na-2013 url: http://alaska.usgs.gov/science/subprogram.php?sid=184 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "The coastal vulnerability index (CVI)provides a preliminary overview, at a National scale, of the relative susceptibility of the Nation's coast to sea-level rise. This initial classification is based upon variables including geomorphology, regional coastal slope, tide range, wave height, relative sea-level rise, and shoreline erosion and accretion rates. The combination of these variables and the association of these variables to each other furnish a broad overview of coastal regions where physical changes are likely to occur due to sea-level rise. To make this coastal vulnerability index data more accessible to the public and other agencies, the USGS created this web service. This web service was created utilizing ESRI ArcServer. Vector layers were collected, organized by the coastal regions of the U.S., U.S. Atlantic, Pacific and Gulf of Mexico Coasts, and symbology made consistent among similar data sets. This service meets open geospatial consortium standards. The geographic information system (GIS) data layers from this web service are cataloged by region for ease of access." description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usgs-map-service-coastal-vulnerability-to-sea-level-rise.yaml identifier: usgs-map-service-coastal-vulnerability-to-sea-level-rise lat_max: 49.37 lat_min: 24.96 lon_max: -66.97 lon_min: -124.73 name: 'USGS Map service: Coastal Vulnerability to Sea-Level Rise' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-map-service-coastal-vulnerability-to-sea-level-rise url: http://coastalmap.marine.usgs.gov/cmgp/services/National/coastal_vulnerability_index/MapServer/WMSServer?request=GetCapabilities&service=WMS variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "There are critical needs for a nationwide compilation of reliable shoreline data. To meet these needs, the USGS has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing historical shoreline databases and by generating historical and modern shoreline data. Historical shoreline positions serve as easily understood features that can be used to describe the movement of beaches through time. These data are used to calculate rates of shoreline change for the U.S. Geological Survey's (USGS) National Assessment of Shoreline Change Project. Each shoreline may represent a compilation of data from one or more sources for one or more dates provided by one or more agencies. Details regarding source are provided in the 'Data Quality Information' section of the individual shoreline metadata report. To make this shoreline data more accessible to the public and other agencies, the USGS created this web service. This web service was created utilizing ESRI ArcServer. Vector shoreline layers were collected, organized by state, and symbology made consistent among similar data sets. This service meets open geospatial consortium standards." description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usgs-map-service-national-shoreline-change-historic-shorelines-by-state.yaml identifier: usgs-map-service-national-shoreline-change-historic-shorelines-by-state lat_max: 49.37 lat_min: 24.96 lon_max: -66.97 lon_min: -124.73 name: 'USGS Map service: National Shoreline Change - Historic Shorelines by State' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-map-service-national-shoreline-change-historic-shorelines-by-state url: http://coastalmap.marine.usgs.gov/cmgp/services/National/slc_HistoricShoreline/MapServer/WMSServer?request=GetCapabilities&service=WMS variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'Beach erosion is a chronic problem along most open-ocean shores of the United States. As coastal populations continue to grow, and community infrastructures are threatened by erosion, there is increased demand for accurate information regarding past and present shoreline changes. There is also need for a comprehensive analysis of shoreline movement that is regionally consistent. To meet these national needs, the USGS National Assessment of Shoreline Change Project has collected and analyzed a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing historical shoreline databases and by generating historical and modern shoreline data. This dataset consists of long-term (100+ years) shoreline change rates. Rate calculations were computed using the Digital Shoreline Analysis System (DSAS), an ArcGIS extension developed by the U.S. Geological Survey. Long-term rates of shoreline change were calculated using a linear regression rate based on all available shoreline data. 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 long-term rates. To make these results more accessible to the public and other agencies, the USGS created this web service. This web service was created utilizing ESRI ArcServer. This service meets open geospatial consortium standards. The data compilation used to derive the shoreline change rates is available in a service with the title USGS Map service: National Shoreline Change - Historic Shorelines by State. The reference baseline used to derive the shoreline change rates is available in a service with the title USGS Map service: National Shoreline Change - Offshore Baseline. The locations of the transects used in the change rate calculation are available in a service with the title USGS Map service: National Shoreline Change - Intersection Points. The geographic information system (GIS) data layers from this web service are cataloged by state for ease of access.' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usgs-map-service-national-shoreline-change-long-term-shoreline-change-rates.yaml identifier: usgs-map-service-national-shoreline-change-long-term-shoreline-change-rates lat_max: 49.37 lat_min: 24.96 lon_max: -66.97 lon_min: -124.73 name: 'USGS Map service: National Shoreline Change - Long-Term Shoreline Change Rates' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-map-service-national-shoreline-change-long-term-shoreline-change-rates url: http://coastalmap.marine.usgs.gov/cmgp/services/National/slc_LongTerm/MapServer/WMSServer?request=GetCapabilities&service=WMS variables: ~ version: ~ vertical_extent: ~