--- - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This is a tiled collection of the National Elevation Dataset (NED) and is one meter resolution. Data in this layer represent a bare earth surface. The National Elevation Dataset (NED) serves as the elevation layer of The National Map, and provides basic elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use NED data for global change research, hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The NED is an elevation dataset that consists of seamless layers and non-seamless high resolution layers. Each of the seamless layers are composed of the best available raster elevation data of the conterminous United States, Alaska, Hawaii, territorial islands, Mexico and Canada. The NED is updated continually as new data become available. All NED data are in the public domain. The NED is derived from diverse source data that are processed to a common coordinate system and unit of vertical measure. The spatial reference used for tiles of the one meter layer within the conterminous United States (CONUS) is Universal Transverse Mercator (UTM) in units of meters, and in conformance with the North American Datum of 1983 (NAD83). All bare earth elevation values are in meters and are referenced to the North American Vertical Datum of 1988 (NAVD88). Each tile is distributed in the UTM Zone in which it lies. If a tile crosses two UTM Zones, it is delivered in both zones. Only source data of one meter resolution or finer are used to produce the NED standard one meter layer' description_attribution: ~ display_name: '1 meter Digital Elevation Models (DEMs) - USGS National Map' doi: ~ end_time: ~ identifier: usgs-national-elevation-dataset-ned-1-meter lat_max: 50.0 lat_min: 17.0 lon_max: -64.0 lon_min: -162.0 name: '1 meter Digital Elevation Models (DEMs) - USGS 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: dataset uri: /dataset/usgs-national-elevation-dataset-ned-1-meter url: http://thor-f5.er.usgs.gov/ngtoc/metadata/waf/elevation/1_meter/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This layer of the National Elevation Dataset (NED) is 1/3 arc-second (approximately 10 m) resolution. The1/3 arc-second NED are derived from diverse source data that are processed to a common coordinate system and unit of vertical measure. These data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are in meters and, over the continental United States, are referenced to the North American Vertical Datum of 1988 (NAVD88). The 1/3 arc-second NED layer provides seamless coverage of the conterminous United States, Hawaii, Puerto Rico, other territorial islands, and in limited areas of Alaska. The 1/3 arc-second NED layer is available as pre-staged products tiled in 1 degree blocks in Erdas .img, ESRI arc-grid, and grid float formats. The NED is updated continually as new data become available. All NED data are in the public domain.' description_attribution: ~ display_name: '1/3rd Arc-second Digital Elevation Models (DEMs) - USGS National Map' doi: ~ end_time: ~ identifier: usgs-national-elevation-dataset-ned-1-3-arc-second lat_max: 72.000043 lat_min: -14.383287 lon_max: 163.066623 lon_min: -170.850043 name: '1/3rd Arc-second Digital Elevation Models (DEMs) - USGS 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: dataset uri: /dataset/usgs-national-elevation-dataset-ned-1-3-arc-second url: http://thor-f5.er.usgs.gov/ngtoc/metadata/waf/elevation/1-3_arc-second/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "This map layer contains a natural-earth image of Alaska. The image is land cover in natural colors combined with shaded relief, which produces a naturalistic rendition of the Earth's surface. The data set is in an Albers Equal-Area Conic projection. The Natural Earth data were produced from existing National Atlas land cover, elevation, and satellite view data, as well as MODIS Vegetation Continuous Fields data." description_attribution: ~ display_name: '100-Meter Resolution Natural Earth of Alaska - Direct Download' doi: ~ end_time: ~ identifier: usgs-100-meter-resolution-natural-earth-of-alaska lat_max: 77.0 lat_min: 40.0 lon_max: 167.0 lon_min: -122.0 name: '100-Meter Resolution Natural Earth of Alaska - 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: dataset uri: /dataset/usgs-100-meter-resolution-natural-earth-of-alaska url: http://dds.cr.usgs.gov/pub/data/nationalatlas/nateaki0100a.tif_nt00868.tar.gz variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This map layer contains tree canopy data for Alaska, in an Albers Equal-Area Conic projection and at a resolution of 100 meters. The tree canopy data were derived from the National Land Cover Database (NLCD) 2001 percent tree canopy data set, a product of the Multi-Resolution Land Characteristics Consortium (MRLC). The MRLC is a multi-agency cooperative effort to study land cover change. The NLCD 2001 is described at .' description_attribution: ~ display_name: '100-Meter Resolution Tree Canopy of Alaska - Direct Download' doi: ~ end_time: ~ identifier: usgs-100-meter-resolution-tree-canopy-of-alaska lat_max: 77.0 lat_min: 40.0 lon_max: 167.0 lon_min: -122.0 name: '100-Meter Resolution Tree Canopy of Alaska - 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: dataset uri: /dataset/usgs-100-meter-resolution-tree-canopy-of-alaska url: http://dds.cr.usgs.gov/pub/data/nationalatlas/treeaki0100a.tif_nt00841.tar.gz variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: Integrated and documented small-scale geospatial and geostatistical data from more than two dozen Federal organizations and the Library of Congress. The National Atlas was intended for the use of America's citizens and its data offerings are supplemented with multimedia articles and many types of maps. description_attribution: ~ display_name: 1997-2014 Edition of The National Atlas of the United States doi: ~ end_time: ~ identifier: doi-118 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: 1997-2014 Edition of The National Atlas 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: dataset uri: /dataset/doi-118 url: http://catalog.data.gov/harvest/1997-2014-edition-of-the-national-atlas-of-the-united-states variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: This 1-kilometer raster (grid) dataset for the conterminous United States was created by interpolating base-flow index (BFI) values estimated at U.S. Geological Survey (USGS) streamgages. Base flow is the component of streamflow that can be attributed to ground-water discharge into streams. description_attribution: ~ display_name: Base-flow index grid for the conterminous United States doi: ~ end_time: ~ identifier: usgs-base-flow-index-grid-for-the-conterminous-united-states lat_max: 51.608329 lat_min: 22.860749 lon_max: -65.34681 lon_min: -127.887748 name: Base-flow index grid for the conterminous 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: dataset uri: /dataset/usgs-base-flow-index-grid-for-the-conterminous-united-states url: http://water.usgs.gov/GIS/dsdl/bfi48grd.zip 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: ~ display_name: Biomass Carbon Stock doi: ~ end_time: ~ 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: dataset 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: 'Actual ET (ETa) is produced using the operational Simplified Surface Energy Balance (SSEBop) model (Senay and others, 2013) for the period 2000 to present. The SSEBop setup is based on the Simplified Surface Energy Balance (SSEB) approach (Senay and others, 2007, 2011) with unique parameterization for operational applications. It combines ET fractions generated from remotely sensed MODIS thermal imagery, acquired every 8 days, with reference ET using a thermal index approach. The unique feature of the SSEBop parameterization is that it uses pre-defined, seasonally dynamic, boundary conditions that are unique to each pixel for the hot/dry and cold/wet reference points. Reference: Senay, G. B., Bohms, S., Singh, R. K., Gowda, P. H., Velpuri, N. M., Alemu, H., et al. (2013). Operational evapotranspirationmapping using remote sensing andweather datasets: A new parameterization for the SSEB approach. Journal of the American Water Resources Association, 1–15, http://dx.doi.org/10.1111/jawr.12057. Reference: Velpuri, N. M., Senay, G. B., Singh, R. K., Bohms, S., and Verdin, J. P.: A comprehensive evaluation of two MODIS evapotranspiration products over the conterminous United States: Using point and gridded FLUXNET and water balance ET, Remote Sensing of Environment, 139, 35-49, http://dx.doi.org/10.1016/j.rse.2013.07.013, 2013.' description_attribution: ~ display_name: Conterminous U.S. actual evapotranspiration data doi: ~ end_time: ~ identifier: usgs-conterminous-u-s-actual-evapotranspiration-data lat_max: 49.5045 lat_min: 23.9985 lon_max: -66.4965 lon_min: -125.9955 name: Conterminous U.S. actual evapotranspiration data native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/usgs-conterminous-u-s-actual-evapotranspiration-data url: http://cida.usgs.gov/thredds/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This digital data set describes surficial geology of the conterminous United States. The data set was generated from a U.S. Geological Survey 1:7,500,000-scale map of surficial geology published as part of the U.S. Geological Survey National Atlas map series.' description_attribution: ~ display_name: Digital data set describing surficial geology in the conterminous US doi: ~ end_time: ~ identifier: usgs-digital-data-set-describing-surficial-geology-in-the-conterminous-us lat_max: 48.2441996 lat_min: 22.87753347 lon_max: -65.35692717 lon_min: -127.87106262 name: Digital data set describing surficial geology in the conterminous US native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/usgs-digital-data-set-describing-surficial-geology-in-the-conterminous-us url: http://water.usgs.gov/GIS/dsdl/ofr99-77_geol75m.e00.gz variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This dataset consists of drainage basin boundaries for 212 U.S. Geological Survey (USGS) stream sites sampled in the National Water-Quality Assessment (NAWQA) Program, the National Stream Quality Accounting Network (NASQAN), and the National Monitoring Network (NMN). Of the 212 sites, 206 have either a contributing or total drainage basin boundary, and the remaining 6 have both a total drainage basin boundary and a smaller contributing basin boundary. Collectively, these 218 basin boundaries have been used in a geographic information system (GIS) to generate basin characteristics for the assessment of trends in concentrations of pesticides streams of the United States.' description_attribution: ~ display_name: 'Drainage Basins Used for Assessing Trends in Concentration of Pesticides in Streams of the United States, 1992-2010' doi: ~ end_time: ~ identifier: usgs-drainage-basins-used-for-assessing-trends-in-concentration-of-pesticides-in-streams-o-1992-2010 lat_max: 48.24 lat_min: 22.87 lon_max: -65.35 lon_min: -127.87 name: 'Drainage Basins Used for Assessing Trends in Concentration of Pesticides in Streams of the United States, 1992-2010' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/usgs-drainage-basins-used-for-assessing-trends-in-concentration-of-pesticides-in-streams-o-1992-2010 url: http://water.usgs.gov/GIS/dsdl/ds655_basins.zip variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: Near real-time earthquake information for a variety of time windows in a variety of formats. description_attribution: ~ display_name: Earthquake Feeds doi: ~ end_time: ~ identifier: doi-34512 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Earthquake Feeds native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/doi-34512 url: http://earthquake.usgs.gov/earthquakes/feed/v1.0/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This map layer portrays general forest cover types for the United States. Data were derived from Advanced Very High Resolution Radiometer (AVHRR) composite images recorded during the 1991 growing season, with the exception of Puerto Rico, for which Landsat Thematic Mapper (TM) data were used. A total of 25 classes of forest cover types were interpreted from the AVHRR and TM imagery, aided by field observations and refined with ancillary data from digital elevation models. The data available through the National Atlas of the United States are in GeoTIFF format. This is a revised version of the May 2002 map layer, with a corrected shoreline for Greenland.' description_attribution: ~ display_name: 'Forest Cover Types - Direct Download' doi: ~ end_time: ~ identifier: usgs-forest-cover-types lat_max: 72.0 lat_min: 18.0 lon_max: 172.0 lon_min: -66.0 name: 'Forest Cover Types - 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: dataset uri: /dataset/usgs-forest-cover-types url: http://dds.cr.usgs.gov/pub/data/nationalatlas/foresti020l_nt00113.tar.gz 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: ~ display_name: Forest Stand Age doi: ~ end_time: ~ 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: dataset 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 dataset, termed \"GAGES II\", an acronym for Geospatial Attributes of Gages for Evaluating Streamflow, version II, provides geospatial data and classifications for 9,322 stream gages maintained by the U.S. Geological Survey (USGS). It is an update to the original GAGES, which was published as a Data Paper on the journal Ecology's website (Falcone and others, 2010b) in 2010. The GAGES II dataset consists of gages which have had either 20+ complete years (not necessarily continuous) of discharge record since 1950, or are currently active, as of water year 2009, and whose watersheds lie within the United States, including Alaska, Hawaii, and Puerto Rico. Reference gages were identified based on indicators that they were the least-disturbed watersheds within the framework of broad regions, based on 12 major ecoregions across the United States. Of the 9,322 total sites, 2,057 are classified as reference, and 7,265 as non-reference. Of the 2,057 reference sites, 1,633 have (through 2009) 20+ years of record since 1950. Some sites have very long flow records: a number of gages have been in continuous service since 1900 (at least), and have 110 years of complete record (1900-2009) to date. The geospatial data include several hundred watershed characteristics compiled from national data sources, including environmental features (e.g. climate – including historical precipitation, geology, soils, topography) and anthropogenic influences (e.g. land use, road density, presence of dams, canals, or power plants). The dataset also includes comments from local USGS Water Science Centers, based on Annual Data Reports, pertinent to hydrologic modifications and influences. The data posted also include watershed boundaries in GIS format. This overall dataset is different in nature to the USGS Hydro-Climatic Data Network (HCDN; Slack and Landwehr 1992), whose data evaluation ended with water year 1988. The HCDN identifies stream gages which at some point in their history had periods which represented natural flow, and the years in which those natural flows occurred were identified (i.e. not all HCDN sites were in reference condition even in 1988, for example, 02353500). The HCDN remains a valuable indication of historic natural streamflow data. However, the goal of this dataset was to identify watersheds which currently have near-natural flow conditions, and the 2,057 reference sites identified here were derived independently of the HCDN. A subset, however, noted in the BasinID worksheet as “HCDN-2009”, has been identified as an updated list of 743 sites for potential hydro-climatic study. The HCDN-2009 sites fulfill all of the following criteria: (a) have 20 years of complete and continuous flow record in the last 20 years (water years 1990-2009), and were thus also currently active as of 2009, (b) are identified as being in current reference condition according to the GAGES-II classification, (c) have less than 5 percent imperviousness as measured from the NLCD 2006, and (d) were not eliminated by a review from participating state Water Science Center evaluators. The data posted here consist of the following items:- This point shapefile, with summary data for the 9,322 gages.- A zip file containing basin characteristics, variable definitions, and a more detailed report.- A zip file containing shapefiles of basin boundaries, organized by classification and aggregated ecoregion.- A zip file containing mainstem stream lines (Arc line coverages) for each gage." description_attribution: ~ display_name: 'GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow' doi: ~ end_time: ~ identifier: usgs-gages-ii-geospatial-attributes-of-gages-for-evaluating-streamflow lat_max: 90.0 lat_min: 5.402082 lon_max: 180.0 lon_min: -180.0 name: 'GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/usgs-gages-ii-geospatial-attributes-of-gages-for-evaluating-streamflow url: http://water.usgs.gov/GIS/dsdl/gagesII_9322_point_shapefile.zip variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This map layer shows the locations of wells maintained by the U.S. Geological Survey (USGS) that are used to monitor the effects of droughts and other climate variability on ground-water levels. The Ground-Water Climate Response Network consists of a national network of about 140 wells monitored as part of the Ground-Water Resources Program. It is supplemented by more than 200 wells monitored as part of the Cooperative Water Program that meet the same network criteria, which are: open to a single, known hydrogeologic unit; known well construction that allows good water-level measurements; located in unconfined aquifers or near-surface confined aquifers that respond to climatic fluctuations; minimally affected by pumpage and likely to remain so; essentially unaffected by irrigation, canals, and other potential sources of artificial recharge; long-term accessibility; and well has never gone dry (not susceptible to going dry).' description_attribution: ~ display_name: 'Ground-Water Climate Response Network - Direct Download' doi: ~ end_time: ~ identifier: usgs-ground-water-climate-response-network lat_max: 65.0 lat_min: 17.0 lon_max: -66.0 lon_min: -155.0 name: 'Ground-Water Climate Response Network - 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: dataset uri: /dataset/usgs-ground-water-climate-response-network url: http://dds.cr.usgs.gov/pub/data/nationalatlas/gwwst0x020_nt00232.tar.gz variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'A natural consequence of groundwater withdrawals is the removal of water from subsurface storage, but the overall rates and magnitude of groundwater depletion in the United States are not well characterized. This study evaluates long-term cumulative depletion volumes in 40 separate aquifers or areas and one land use category in the United States, bringing together information from the literature and from new analyses. Depletion is directly calculated using calibrated groundwater models, analytical approaches, or volumetric budget analyses for multiple aquifer systems. Estimated groundwater depletion in the United States during 1900–2008 totals approximately 1,000 cubic kilometers (km3). Furthermore, the rate of groundwater depletion has increased markedly since about 1950, with maximum rates occurring during the most recent period (2000–2008) when the depletion rate averaged almost 25 km3 per year (compared to 9.2 km3 per year averaged over the 1900–2008 timeframe).' description_attribution: ~ display_name: Groundwater depletion in the United States (1900-2008) doi: ~ end_time: ~ identifier: usgs-groundwater-depletion-in-the-united-states-1900a2008 lat_max: 50.270824 lat_min: 9.892838 lon_max: -69.31461 lon_min: -165.165084 name: Groundwater depletion in the United States (1900-2008) native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/usgs-groundwater-depletion-in-the-united-states-1900a2008 url: http://water.usgs.gov/GIS/dsdl/sir2013-5079_Groundwater_Depletion_Study_Files.zip variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'A streamflow data set, which is specifically suitable for the study of surface-water conditions throughout the United States under fluctuations in the prevailing climatic conditions, has been developed. This data set, called the Hydro-Climatic Data Network, or HCDN, consists of streamflow records for 1,659 sites throughout United States and its Territories.' description_attribution: ~ display_name: 'Hydro-Climatic Data Network (HCDN) -- A USGS Streamflow Data Set for the U.S. for the Study of Climate Fluctuations' doi: ~ end_time: ~ identifier: usgs-hydro-climatic-data-network-hcdn-a-usgs-streamflow-data-set-for-the-u-s-for-the-study-of-clima lat_max: 50.0 lat_min: 24.0 lon_max: -66.0 lon_min: -125.0 name: 'Hydro-Climatic Data Network (HCDN) -- A USGS Streamflow Data Set for the U.S. for the Study of Climate Fluctuations' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/usgs-hydro-climatic-data-network-hcdn-a-usgs-streamflow-data-set-for-the-u-s-for-the-study-of-clima url: http://water.usgs.gov/pubs/wri/wri934076/1st_page.html 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: ~ display_name: Hydrologic landscape regions of the United States doi: ~ end_time: ~ 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: dataset 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: '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: ~ display_name: Integrated Taxonomic Information System (ITIS) doi: ~ end_time: ~ 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: dataset 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 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: ~ display_name: LandCarbon Conterminous United States Burned Area and Severity Mosaics 2001-2050 Metadata doi: ~ end_time: ~ 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: dataset 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: '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: ~ display_name: LandCarbon Conterminous United States Land-Use/Land-Cover Mosaics 1992-2050 doi: ~ end_time: ~ 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: dataset 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: 'TR-33: Maps are presented showing the areal distribution in the contiguous 48 states of evaporation (1) observed from Class A pans from from May through October, (2) estimated for a free water surface (FWS) and (3) estimated for an FWS for the entire year. A map is presented of the coefficients to convert from pan evaporation to FWS evaporation. Sources of data, analyses of the maps, and limitation on their use are described. TR-34: This publication is a compilation of monthly, seasonal, and annual averages of estimated pan evaporation based on observations from Class A pans and on meteorological measurements by the National Weather Service (NWS) and cooperating agencies. It replace Technical Paper No. 13 (U.S. Weather Bureau, Hydrologic Branch, Division of Climatological and Hydrologic Services, 1950). These tabulations were generated from the augmentation of a smaller data set used to develop evaporation maps published in NOAA Technical Report NWS-33, Evaporation Atlas for the Contiguous 48 United States, (Farnsworth et al., 1982). This report and its companion report, the evaporation atlas, should facilitate the determination of monthly values of evaporation at most points in the country. Farnsworth, R.K., Thompson, E.S., and Peck, E.L, 1982, Evaporation atlas for the contiguous 48 United States, NOAA Technical Report NWS 33, National Oceanic and Atmospheric Administration, Washington, DC, p. 27. Farnsworth, R.K. and Thompson, E.S., 1982, Mean monthly, seasonal, and annual pan evaporation for the United States, NOAA Technical Report NWS 34, National Oceanic and Atmospheric Administration, Washington, DC, p. 85.' description_attribution: ~ display_name: Mean Monthly Evaporation Atlas for the Contiguous 48 United States (1956-1970) doi: ~ end_time: ~ identifier: usgs-mean-monthly-evaporation-atlas-for-the-contiguous-48-united-states-1956-1970 lat_max: 50.0 lat_min: 25.0 lon_max: -65.0 lon_min: -125.0 name: Mean Monthly Evaporation Atlas for the Contiguous 48 United States (1956-1970) native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/usgs-mean-monthly-evaporation-atlas-for-the-contiguous-48-united-states-1956-1970 url: http://cida.usgs.gov/thredds/dodsC/mows/pe.html 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: ~ display_name: Methane Flux doi: ~ end_time: ~ 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: dataset 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: "Version 3.0 of the NFHP Data System consists of data access and visualization tools and underlying data management tools and functions. The NFHP National Assessment Results Viewer allows users to visualize the primary results reported in Through a Fish's Eye: The Status of Fish Habitats in the United States 2010 at various spatial scales. It depicts the condition of stream and coastal habitats across the country on a variety of base maps and provides one-click access to more detailed information at finer scales. The NFHP Data Theme Viewer provides a summarized look at available data by theme. Datasets are displayed to show data distribution and data density nationally, compared to available data linked to the NFHP spatial framework. The first theme to be provided is the Biological Data theme. Future priority data themes will be determined through the efforts of the National Science and Data Committee. The NFHP Data System provides streamlined data access and download capabilities for national and partnership data via a familiar Web page format. Behind the scenes, data management and delivery tools are powered by two existing USGS systems to enhance the data sharing, documentation, and delivery capabilities available to partners: USGS ScienceBase provides the data file upload and catalog services, while the USGS Core Science Metadata Clearinghouse assists with data documentation and preservation best practices that will improve the ability for partners, researchers, and managers whom access and use data now and in the future." description_attribution: ~ display_name: National Fish Habitat Partnership Data System doi: ~ end_time: ~ identifier: usgs-national-fish-habitat-partnership-data-systemb47da lat_max: 74.0 lat_min: 17.0 lon_max: -63.0 lon_min: -180.0 name: National Fish Habitat Partnership Data System native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/usgs-national-fish-habitat-partnership-data-systemb47da url: http://gis1.usgs.gov/arcgis/rest/services/nfhap/nfhap_scores_tiled_catchments_PROD/MapServer variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'National scope of NAWQA water-quality sample- and laboratory-result data and other supporting information obtained from NWIS systems hosted by individual Water Science Centers as well as national BioTDB system for aquatic biological data on communities and habitats and stored in a centralized NAWQA Data Warehouse (DWH)' description_attribution: ~ display_name: National Water Quality Assessment (NAWQA) Program doi: ~ end_time: ~ identifier: doi-95 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: National Water Quality Assessment (NAWQA) Program native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/doi-95 url: http://cida.usgs.gov/nawqa_public/apex/f?p=136:1:0 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: ~ display_name: Net Ecosystem Carbon Flux doi: ~ end_time: ~ 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: dataset 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: 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: ~ display_name: Nitrous Oxide Flux doi: ~ end_time: ~ 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: dataset 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: "These data were originally downloaded from the National Renewable Energy Laboratory (NREL) web site http://www.nrel.gov/gis/data_solar.html in units of kilowatt-hours per square meter per day and were converted to Langleys per day. 1 Langley per day = 1 calorie per square centimeter per day. or 1 Langley per day = 0.01163 kilowatt-hour per square meter per day. NREL has several different values of solar radiation available, the \"global horizontal\" data is what is represented by this service. \"Global horizontal\" means on a surface perpendicular to the radius -- i.e. a horizontal plate, wherever on the Earth you are measuring (or using) it. Please note NREL's disclaimer: http://www.nrel.gov/disclaimer.html" description_attribution: ~ display_name: Normal Incident Solar Radiation Atlas doi: ~ end_time: ~ identifier: usgs-normal-incident-solar-radiation-atlas lat_max: 49.45 lat_min: 18.05 lon_max: -66.95 lon_min: -160.95 name: Normal Incident Solar Radiation Atlas native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/usgs-normal-incident-solar-radiation-atlas url: http://cida.usgs.gov/thredds/dodsC/mows/sr.html variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "OBIS-USA provides aggregated, interoperable biogeographic data collected primarily from U.S. waters and oceanic regions--the Arctic, the Atlantic and Pacific oceans, the Caribbean Sea, Gulf of Mexico and the Great Lakes. It provides access to datasets from state and federal agencies as well as educational and research institutions. OBIS-USA handles both specimen-based data and survey results. Survey data come from recovered archives and current research activities. The datasets document where and when species were observed or collected, bringing together marine biogeographic data that are spatially, taxonomically, and temporally comprehensive. The public OBIS-USA site (http://www.usgs.gov/obis-usa) provides actual data contents as well as summary data about what is contained in each dataset to assist users in evaluating suitability for use. Current functionality allows the user to locate, view, and aggregate the datasets and FGDC compliant metadata as well as to view and search the taxonomic, geographic, and temporal extent. To promote data interoperability, the data are available in accordance with the marine-focused implementation of the Darwin Core data standard. In addition to basic download functions (tab-delimited), OBIS-USA offers web services for query flexibility and a wide range of output formats, such as kml, NetCDF, MATLAB, json, and graph or map output, to enable diverse types of scientific and geospatial data use and analysis platforms and products. OBIS-USA's two web services (ERDDAP and GeoServer) enable integration of OBIS-USA biogeographic data with other data types, such as seafloor geology, physical oceanography, water chemistry, and climate data. The NOAA Environmental Research Division Data Access Program(ERRDDAP) enables users to query scientific data by flexible parameters and obtain output in many formats. Access can be found at http://www1.usgs.gov/erddap/tabledap/AllMBG.html . OBIS-USA uses the tabledap component of ERDDAP to access Darwin-Core-type tabular spatial data; tabledap is a superset of the OPeNDAP DAP constraint protocol. OBIS-USA offers an ESRI REST Service with access to Darwin-Core-type point data at http://gis1.usgs.gov/arcgis/rest/services/OBISUSA/OBIS_USA_All_Marine_Biogeographic_Records/MapServer/ and an OGC compliant Web Mapping Service (wms) http://gis1.usgs.gov/arcgis/services/OBISUSA/OBIS_USA_All_Marine_Biogeographic_Records/MapServer/WMSServer?request=GetCapabilities&service=WMS. OBIS-USA and collaborators are further deploying the Darwin Core standard to capture richer information, such as absence and abundance, observations on effort, individual tracking, and more advanced biogeography capabilities. Data are accepted into OBIS-USA from the data originator or holder, minimizing the burden on the participant. OBIS-USA works with data providers to understand the best process to transfer the data, review the data prior to their release, gather comprehensive metadata, and then allow public access to this information. Becoming part of the OBIS-USA network is intended to have tangible benefits for participants, for example, freeing the participant from responding to requests for data and alleviating security concerns since users do not directly access the participant's computers." description_attribution: ~ display_name: 'Ocean Biogeographic Information System (OBIS) - USA Dataset Collection' doi: ~ end_time: ~ identifier: usgs-ocean-biogeographic-information-system-obis-usa-dataset-collectionfb3ea lat_max: 90.0 lat_min: -90.0 lon_max: 180.0 lon_min: -180.0 name: 'Ocean Biogeographic Information System (OBIS) - USA Dataset Collection' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/usgs-ocean-biogeographic-information-system-obis-usa-dataset-collectionfb3ea url: http://www.usgs.gov/obis-usa 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: ~ display_name: Soil Organic Carbon Stock doi: ~ end_time: ~ 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: dataset 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: 'The National Map includes lower 48 states coverage of hydrography, orthoimagery, elevation, geographic place names, landcover, structures, boundaries, and transportation at 1:24,000 scale accuracy and better. Some data over Alaska and the US Terratories also exists. Data can be viewed and downloaded at viewer.nationalmap.gov.' description_attribution: ~ display_name: The National Map Viewer and Download Platform doi: ~ end_time: ~ identifier: doi-108 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: The National Map Viewer and Download Platform native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/doi-108 url: http://nationalmap.gov/viewers.html 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: ~ display_name: Total Ecosystem Carbon Stock doi: ~ end_time: ~ 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: dataset 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: ~ description_attribution: ~ display_name: 'USGS 07010000 Mississippi River at St. Louis, MO' doi: ~ end_time: ~ identifier: usgs-07010000 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: 'USGS 07010000 Mississippi River at St. Louis, MO' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/usgs-07010000 url: http://waterdata.usgs.gov/nwis/inventory?agency_code=USGS&site_no=07010000 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: Ten million archive images of the Earth's surface are available for immediate selection and free download via the USGS Earth Resources Observation and Science (EROS) Center's Global Visualization Viewer at http://glovis.usgs.gov/. Users can preview thumbnail browse images and download full-image selections from 1.5 million aerial photos of U.S. sites and 8.5 million images captured worldwide by U.S. Earth-observing satellites. description_attribution: ~ display_name: USGS Global Visualization Viewer for Aerial and Satellite Data doi: ~ end_time: ~ identifier: doi-93 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: USGS Global Visualization Viewer for Aerial and Satellite Data native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/doi-93 url: http://earthexplorer.usgs.gov/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'The USGS compiles online access to water-resources data collected at approximately 1.5 million sites in all 50 States, the District of Columbia, Puerto Rico, the Virgin Islands, Guam, American Samoa and the Commonwealth of the Northern Mariana Islands.' description_attribution: ~ display_name: 'USGS Groundwater Data for the Nation - National Water Information System (NWIS)' doi: ~ end_time: ~ identifier: usgs-groundwater-data-for-the-nation-national-water-information-system-nwis lat_max: 70.281 lat_min: 17.731 lon_max: -64.78 lon_min: -164.168 name: 'USGS Groundwater Data for the Nation - National Water Information System (NWIS)' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/usgs-groundwater-data-for-the-nation-national-water-information-system-nwis url: http://waterdata.usgs.gov/nwis/gw 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: ~ display_name: 'USGS Map service: Coastal Vulnerability to Sea-Level Rise' doi: ~ end_time: ~ 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: dataset 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: ~ display_name: 'USGS Map service: National Shoreline Change - Historic Shorelines by State' doi: ~ end_time: ~ 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: dataset 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: ~ display_name: 'USGS Map service: National Shoreline Change - Long-Term Shoreline Change Rates' doi: ~ end_time: ~ 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: dataset 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: ~ - 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 includes a reference baseline used by the Digital Shoreline Analysis System (DSAS) to calculate rate-of-change statistics. This baseline layer serves as the starting point for all transects cast by the DSAS application. The resulting rates of change are available in services with the titles USGS Map service: National Shoreline Change - Long-Term Shoreline Change Rates and USGS Map service: National Shoreline Change - Short-Term Shoreline Change Rates. 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. This service meets open geospatial consortium standards. The geographic information system (GIS) data layers from this web service are cataloged by state for ease of access.' description_attribution: ~ display_name: 'USGS Map service: National Shoreline Change - Offshore Baseline' doi: ~ end_time: ~ identifier: usgs-map-service-national-shoreline-change-offshore-baseline lat_max: 49.37 lat_min: 24.96 lon_max: -66.97 lon_min: -124.73 name: 'USGS Map service: National Shoreline Change - Offshore Baseline' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/usgs-map-service-national-shoreline-change-offshore-baseline url: http://coastalmap.marine.usgs.gov/cmgp/services/National/slc_OffshoreBaseline/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 short-term (~30 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. Short-term rates of shoreline change were calculated using an end-point rate method based on available shorelines to provide an approximately 30-yr short-term rate. 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. 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: ~ display_name: 'USGS Map service: National Shoreline Change - Short-Term Shoreline Change Rates' doi: ~ end_time: ~ identifier: usgs-map-service-national-shoreline-change-short-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 - Short-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: dataset uri: /dataset/usgs-map-service-national-shoreline-change-short-term-shoreline-change-rates url: http://coastalmap.marine.usgs.gov/cmgp/services/National/slc_ShortTerm/MapServer/WMSServer?request=GetCapabilities&service=WMS variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'The usSEABED database contains a compilation of published and previously unpublished sediment texture and other geologic data about the sea floor from diverse sources. The data were compiled using the dbSEABED system to bring assorted data together in a unified database. Maps display areas of different bottom types (carbonate, coral, shells, and terrigenous) and sediment classifications using the Folk and Shepard systems, based on either laboratory data or verbal records of observations. usSEABED information is a scientific foundation for the USGS Marine Aggregate Resources and Processes Assessment and Benthic Habitats projects. The usSEABED database includes data for sites in U.S. waters from rivers, lakes, estuaries, and from the beach to the continental shelf. To make the usSEABED data 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 geographic information system (GIS) data layers from this web service are cataloged by region for ease of access.' description_attribution: ~ display_name: 'USGS Map service: usSEABED - US Coastal Offshore Surficial-Sediment' doi: ~ end_time: ~ identifier: usgs-map-service-usseabed-us-coastal-offshore-surficial-sediment lat_max: 49.18 lat_min: 16.19 lon_max: -63.5 lon_min: -129.46 name: 'USGS Map service: usSEABED - US Coastal Offshore Surficial-Sediment' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/usgs-map-service-usseabed-us-coastal-offshore-surficial-sediment url: http://coastalmap.marine.usgs.gov/cmgp/services/National/usSEABED/MapServer/WMSServer?request=GetCapabilities&service=WMS variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This layer of the National Elevation Dataset (NED) is 1 arc-second (approximately 30 m) resolution. The 1 arc-second NED are derived from diverse source data that are processed to a common coordinate system and unit of vertical measure. These data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are in meters and, over the continental United States, are referenced to the North American Vertical Datum of 1988 (NAVD88). The 1 arc-second NED layer provides seamless coverage of the conterminous United States, Hawaii, Mexico, Canada, Puerto Rico, other territorial islands, and in limited areas of Alaska. The 1 arc-second NED layer is available as pre-staged products tiled in 1 degree blocks in Erdas .img, ESRI arc-grid, and grid float formats. The NED is updated continually as new data become available. All NED data are in the public domain.' description_attribution: ~ display_name: 'USGS National Elevation Dataset (NED) 1 arc-second Downloadable Data Collection from The National Map 3D Elevation Program (3DEP) - National Geospatial Data Asset (NGDA) National Elevation Data Set (NED)' doi: ~ end_time: ~ identifier: usgs-national-elevation-dataset-ned-1-arc-second lat_max: 84.0 lat_min: -14.383195 lon_max: 163.066531 lon_min: -170.850136 name: 'USGS National Elevation Dataset (NED) 1 arc-second Downloadable Data Collection from The National Map 3D Elevation Program (3DEP) - National Geospatial Data Asset (NGDA) National Elevation Data Set (NED)' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/usgs-national-elevation-dataset-ned-1-arc-second url: http://thor-f5.er.usgs.gov/ngtoc/metadata/waf/elevation/1_arc-second/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This layer of the National Elevation Dataset (NED) is 1/9 arc-second (approximately 3 m) resolution. The 1/9 arc-second NED are derived from diverse source data that are processed to a common coordinate system and unit of vertical measure. These data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are in meters and, over the continental United States, are referenced to the North American Vertical Datum of 1988 (NAVD88). The 1/9 arc-second NED layer provides project-based coverage for portions of the conterminous United States, limited areas of Alaska, and Guam. The 1/9 arc-second NED layer is available as pre-staged products tiled in 15 minute blocks in Erdas .img format. The NED is updated continually as new data become available. For a quick reference to visualize where data exists for this collection see: http://viewer.nationalmap.gov/viewer/?p=ned. All NED data are in the public domain.' description_attribution: ~ display_name: 'USGS National Elevation Dataset (NED) 1/9 arc-second Downloadable Data Collection from The National Map 3D Elevation Program (3DEP) - National Geospatial Data Asset (NGDA) National Elevation Data Set (NED)' doi: ~ end_time: ~ identifier: usgs-national-elevation-dataset-ned-1-9-arc-second lat_max: 69.695278 lat_min: 13.232037 lon_max: 144.957809 lon_min: -155.833796 name: 'USGS National Elevation Dataset (NED) 1/9 arc-second Downloadable Data Collection from The National Map 3D Elevation Program (3DEP) - National Geospatial Data Asset (NGDA) National Elevation Data Set (NED)' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/usgs-national-elevation-dataset-ned-1-9-arc-second url: http://thor-f5.er.usgs.gov/ngtoc/metadata/waf/elevation/1-9_arc-second/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'U.S. Geological Survey, Department of the Interior - The annual National Hydrography Dataset (NHD) stewardship plan is to maintain hydrography data in the NHD over the United States and its territories. NHD for the nation has been collected and is now in maintenance mode. Interested parties who wish to become a NHD stewardship partner with the USGS in FY15 or in future years should contact a USGS Geospatial Liaison - http://liaisons.usgs.gov/geospatial/documents/TNM_Partnership_User_ContactList.pdf. To find out more about hydrography stewardship go to http://nhd.usgs.gov/stewardship.html or for exact project status information on areas currently in work go to http://nhd.usgs.gov/project_status.html' description_attribution: ~ display_name: 'USGS National Hydrography Dataset (NHD) Stewardship Plan Objectives for FY15 from the The National Map - National Geospatial Data Asset (NGDA) National Hydrography Dataset (NHD)' doi: ~ end_time: ~ identifier: usgs-national-hydrography-dataset-nhd-stewardship-plan-objectives-for-fy15-from-the-the-nationa lat_max: 71.5 lat_min: 17.625 lon_max: 180.0 lon_min: -179.167 name: 'USGS National Hydrography Dataset (NHD) Stewardship Plan Objectives for FY15 from the 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: dataset uri: /dataset/usgs-national-hydrography-dataset-nhd-stewardship-plan-objectives-for-fy15-from-the-the-nationa url: http://nhd.usgs.gov/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This data set portrays the major roads in the United States, Puerto Rico, and the U.S. Virgin Islands. The file was produced by joining the individual State roads layers from the 1:2,000,000-scale Digital Line Graph (DLG) data produced by the USGS. This is a revised version of the March 1999 data set.' description_attribution: ~ display_name: 'USGS Small-scale Dataset - Major Roads of the United States 199911 Shapefile' doi: ~ end_time: ~ identifier: usgs-small-scale-dataset-major-roads-of-the-united-states-199911-shapefile lat_max: 72.0 lat_min: 17.0 lon_max: 170.0 lon_min: -64.0 name: 'USGS Small-scale Dataset - Major Roads of the United States 199911 Shapefile' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/usgs-small-scale-dataset-major-roads-of-the-united-states-199911-shapefile url: http://dds.cr.usgs.gov/pub/data/nationalatlas/roadtrl020_nt00030.tar.gz variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'The locations of approximately 23,000 current and historical U.S. Geological Survey (USGS) streamgages in the United States and Puerto Rico (with the exception of Alaska) have been snapped to the medium resolution National Hydrography Dataset (NHD). The NHD contains geospatial information about mapped surface-water features, such as streams, lakes, and reservoirs, etc., creating a hydrologic network that can be used to determine what is upstream or downstream from a point of interest on the NHD network. An automated snapping process made the initial determination of the NHD location of each streamgage. These initial NHD locations were comprehensively reviewed by local USGS personnel to ensure that streamgages were snapped to the correct NHD reaches. About 75 percent of the streamgages snapped to the appropriate NHD reach location initially and 25 percent required adjustment and relocation. This process resulted in approximately 23,000 gages being successfully snapped to the NHD. This dataset contains the latitude and longitude coordinates of the point on the NHD to which the streamgage is snapped and the location of the gage house for each streamgage. A process known as indexing may be used to create reference points (event tables) to the NHD reaches, expressed as a reach code and measure (distance along the reach). Indexing is dependent on the version of NHD to which the indexing is referenced. These data are well suited for use in indexing because nearly all the streamgage NHD locations have been reviewed and adjusted if necessary, to ensure they will index to the appropriate NHD reach. Flow characteristics were computed from the daily streamflow data recorded at each streamgage for the period of record. The flow characteristics associated with each streamgage include: First date (year, month, day) of streamflow data Last date (year, month, day) of streamflow data Number of days of streamflow data Number of days of non-zero streamflow data Minimum and maximum daily flow for the period of record (cubic feet per second) Percentiles (1, 5, 10, 20, 25, 50, 75, 80, 90, 95, 99) of daily flow for the period of record (cubic feet per second) Average and standard deviation of daily flow for the period of record (cubic feet per second) Mean annual base-flow index (BFI) computed for the period of record (fraction, ranging from 0 to 1) Year-to-year standard deviation of the annual base-flow index computed for the period of record (fraction) Number of years of data used to compute the base-flow index (years) The streamflow data used to compute flow characteristics were copied from the NWIS-Web historical daily discharge archive (http://waterdata.usgs.gov/nwis/sw) on June 15, 2005.' description_attribution: ~ display_name: USGS Streamgages Linked to the Medium Resolution NHD doi: ~ end_time: ~ identifier: usgs-streamgages-linked-to-the-medium-resolution-nhd lat_max: 48.999946 lat_min: 17.956547 lon_max: -65.302468 lon_min: -159.750305 name: USGS Streamgages Linked to the Medium Resolution 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: dataset uri: /dataset/usgs-streamgages-linked-to-the-medium-resolution-nhd url: http://water.usgs.gov/GIS/dsdl/USGS_Streamgages-NHD_Locations_GEODB.zip variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'The USGS compiles online access to water-resources data collected at approximately 1.5 million sites in all 50 States, the District of Columbia, Puerto Rico, the Virgin Islands, Guam, American Samoa and the Commonwealth of the Northern Mariana Islands.' description_attribution: ~ display_name: 'USGS Surface-Water Data for the Nation - National Water Information System (NWIS)' doi: ~ end_time: ~ identifier: usgs-surface-water-data-for-the-nation-national-water-information-system-nwis lat_max: 70.281 lat_min: 17.731 lon_max: -64.78 lon_min: -164.168 name: 'USGS Surface-Water Data for the Nation - National Water Information System (NWIS)' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/usgs-surface-water-data-for-the-nation-national-water-information-system-nwis url: http://waterdata.usgs.gov/nwis/sw variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "The U.S. Geological Survey's National Water-Use Information Program is responsible for compiling and disseminating the nation's water-use data. The USGS works in cooperation with local, State, and Federal environmental agencies to collect water-use information. USGS compiles these data to produce water-use information aggregated at the county, state, and national levels. Every five years, data at the county level are compiled into a national water-use data system and state-level data are published in a national circular. Over the history of these circulars, the water-use categories have had some changes." description_attribution: ~ display_name: 'USGS Water Use Data for the Nation - National Water Information System (NWIS)' doi: ~ end_time: ~ identifier: usgs-water-use-data-for-the-nation-national-water-information-system-nwis lat_max: 70.281 lat_min: 17.731 lon_max: -64.78 lon_min: -164.168 name: 'USGS Water Use Data for the Nation - National Water Information System (NWIS)' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/usgs-water-use-data-for-the-nation-national-water-information-system-nwis url: http://waterdata.usgs.gov/nwis/water_use/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'The USGS compiles online access to water-resources data collected at approximately 1.5 million sites in all 50 States, the District of Columbia, Puerto Rico, the Virgin Islands, Guam, American Samoa and the Commonwealth of the Northern Mariana Islands.' description_attribution: ~ display_name: 'USGS Water-Quality Data for the Nation - National Water Information System (NWIS)' doi: ~ end_time: ~ identifier: usgs-water-quality-data-for-the-nation-national-water-information-system-nwis lat_max: 70.281 lat_min: 17.731 lon_max: -64.78 lon_min: -164.168 name: 'USGS Water-Quality Data for the Nation - National Water Information System (NWIS)' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/usgs-water-quality-data-for-the-nation-national-water-information-system-nwis url: http://waterdata.usgs.gov/nwis/qw variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'U.S. Geological Survey, Department of the Interior - The annual Watershed Boundary Dataset (WBD) stewardship plan is to maintain watershed boundary data through usage of WBD edit tools over the United States and its territories. WBD for the nation has been collected and is now in maintenance mode. Interested parties who wish to become a stewardship partner with the USGS in FY15 or in future years should contact a USGS Geospatial Liaison - http://liaisons.usgs.gov/geospatial/documents/TNM_Partnership_User_ContactList.pdf. To find out more about watershed boundary stewardship go to http://nhd.usgs.gov/wbd.html or http://nhd.usgs.gov/WBDstewardshipInfoSheet.pdf' description_attribution: ~ display_name: 'USGS Watershed Boundary Dataset (WBD) Stewardship Plan Objectives for FY15 from The National Map - National Geospatial Data Asset (NGDA) Watershed Boundary Dataset (WBD)' doi: ~ end_time: ~ identifier: usgs-watershed-boundary-dataset-wbd-stewardship-plan-objectives-for-fy15-from-the-national-map-a03d3 lat_max: 71.5 lat_min: 17.625 lon_max: 180.0 lon_min: -179.167 name: 'USGS Watershed Boundary Dataset (WBD) Stewardship Plan Objectives for FY15 from The National Map - National Geospatial Data Asset (NGDA) Watershed Boundary Dataset (WBD)' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/usgs-watershed-boundary-dataset-wbd-stewardship-plan-objectives-for-fy15-from-the-national-map-a03d3 url: http://nhd.usgs.gov/wbd.html variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "This raster data set represents water-level change in the High Plains aquifer of the United States from 1980 to 1995, in feet. The High Plains aquifer underlies 112.6 million acres (176,000 square miles) in parts of eight States: Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. The aquifer's saturated thickness ranges from near zero to about 1,200 feet (Weeks and Gutentag, 1981). Water-level declines occurred in parts of the High Plains aquifer soon after the onset of substantial irrigation with groundwater (about 1950) (Luckey and others, 1981; Gutentag and others, 1984). This data set was generated in ESRI ArcInfo Workstation Version 9.3, which is a geographic information system (GIS), using water-level-change data from wells measured in 1980 and 1995 and from some additional wells in New Mexico, which were measured in 1996 and 1997. For this data set, areas of no substantial change were designated as areas where water-level change was between a rise of 3 feet and and decline of 3 feet; the raster was set to zero in the areas of no substantial change. REFERENCES CITED -- Gutentag, E.D., Heimes, F.J., Krothe, N.C., Luckey, R.R., and Weeks, J.B., 1984, Geohydrology of the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming: U.S. Geological Survey Professional Paper 1400-B, 63 p. Luckey, R.R., Gutentag, E.D., and Weeks, J.B., 1981, Water-level and saturated-thickness changes, predevelopment to 1980, in the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming: U.S. Geological Survey Hydrologic Investigations Atlas HA-652, 2 sheets, scale 1:2,500,000. Weeks, J.B., and Gutentag, E.D., 1981, Bedrock geology, altitude of base, and 1980 saturated thickness of the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming: U.S. Geological Survey Hydrologic Investigations Atlas HA-648, 2 sheets, scale 1:2,500,000." description_attribution: ~ display_name: 'Water-level change, High Plains aquifer, 1980 to 1995' doi: ~ end_time: ~ identifier: usgs-water-level-change-high-plains-aquifer-1980-to-1995 lat_max: 43.80642 lat_min: 31.598356 lon_max: -96.225303 lon_min: -106.016217 name: 'Water-level change, High Plains aquifer, 1980 to 1995' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/usgs-water-level-change-high-plains-aquifer-1980-to-1995 url: http://water.usgs.gov/GIS/dsdl/hp_wlc8095.zip variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "This raster data set represents water-level change in the High Plains aquifer of the United States from 1995 to 2000, in feet. The High Plains aquifer underlies 112.6 million acres (176,000 square miles) in parts of eight States: Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. The aquifer's saturated thickness ranges from near zero to about 1,200 feet (Weeks and Gutentag, 1981). Water-level declines occurred in parts of the High Plains aquifer soon after the onset of substantial irrigation with groundwater (about 1950) (Luckey and others, 1981; Gutentag and others, 1984). This data set was generated in a geographic information system from water-level-change data from wells measured in 1995 and 2000 and from some additional wells in New Mexico, which were measured in 1996, 1997, 2001, and 2002. For this data set, areas of no substantial change were designated as areas where water-level change was between a rise of 1 foot and a decline of 1 foot; the raster was set to zero in the areas of no substantial change. REFERENCES CITED -- Gutentag, E.D., Heimes, F.J., Krothe, N.C., Luckey, R.R., and Weeks, J.B., 1984, Geohydrology of the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming: U.S. Geological Survey Professional Paper 1400-B, 63 p. Luckey, R.R., Gutentag, E.D., and Weeks, J.B., 1981, Water-level and saturated-thickness changes, predevelopment to 1980, in the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming: U.S. Geological Survey Hydrologic Investigations Atlas HA-652, 2 sheets, scale 1:2,500,000. Weeks, J.B., and Gutentag, E.D., 1981, Bedrock geology, altitude of base, and 1980 saturated thickness of the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming: U.S. Geological Survey Hydrologic Investigations Atlas HA-648, 2 sheets, scale 1:2,500,000." description_attribution: ~ display_name: 'Water-level change, High Plains aquifer, 1995 to 2000' doi: ~ end_time: ~ identifier: usgs-water-level-change-high-plains-aquifer-1995-to-2000 lat_max: 43.80642 lat_min: 31.598356 lon_max: -96.225303 lon_min: -106.016217 name: 'Water-level change, High Plains aquifer, 1995 to 2000' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/usgs-water-level-change-high-plains-aquifer-1995-to-2000 url: http://water.usgs.gov/GIS/dsdl/hp_wlc9500.zip variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This raster data set represents water-level change in the High Plains aquifer of the United States from 2000 to 2005, in feet. The High Plains aquifer underlies 112.6 million acres (176,000 square miles) in parts of eight States: Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. Water-level declines occurred in parts of the High Plains aquifer soon after the onset of substantial irrigation with groundwater (about 1950). This data set was generated in ESRI ArcInfo Workstation Version 9.3, which is a geographic information system (GIS), using water-level-change data from wells measured in 2000 and 2005 and from some additional wells in New Mexico, which were measured in 2001, 2002, 2006, and 2007. For this data set, areas of no substantial change were designated as areas where water-level change was between a rise of 1 foot and a decline of 1 foot; the raster was set to zero in the areas of no substantial change.' description_attribution: ~ display_name: 'Water-level change, High Plains aquifer, 2000 to 2005' doi: ~ end_time: ~ identifier: usgs-water-level-change-high-plains-aquifer-2000-to-2005 lat_max: 43.80642 lat_min: 31.598356 lon_max: -96.225303 lon_min: -106.016217 name: 'Water-level change, High Plains aquifer, 2000 to 2005' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/usgs-water-level-change-high-plains-aquifer-2000-to-2005 url: http://water.usgs.gov/GIS/dsdl/hp_wlc0005.zip variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "This raster data set represents water-level change in the High Plains aquifer of the United States from 2005 to 2009, in feet. The High Plains aquifer underlies 112.6 million acres (176,000 square miles) in parts of eight States: Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. The aquifer's saturated thickness ranges from near zero to about 1,200 feet (Weeks and Gutentag, 1981). Water-level declines occurred in parts of the High Plains aquifer soon after the onset of substantial increases in irrigation with groundwater (about 1950) (Luckey and others, 1981; Gutentag and others, 1984). This data set was generated in ESRI ArcInfo Workstation Version 9.3, which is a geographic information system (GIS), using water-level-change data from wells measured in 2005 and 2009 and from some additional wells in New Mexico, which were measured in 2006, 2007, and 2008. For this data set, areas of no substantial change were designated as areas where water-level change was between a rise of 1 foot and a decline of 1 foot; the raster was set to zero in the areas of no substantial change. REFERENCES CITED -- Gutentag, E.D., Heimes, F.J., Krothe, N.C., Luckey, R.R., and Weeks, J.B., 1984, Geohydrology of the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming: U.S. Geological Survey Professional Paper 1400-B, 63 p. Luckey, R.R., Gutentag, E.D., and Weeks, J.B., 1981, Water-level and saturated-thickness changes, predevelopment to 1980, in the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming: U.S. Geological Survey Hydrologic Investigations Atlas HA-652, 2 sheets, scale 1:2,500,000. Weeks, J.B., and Gutentag, E.D., 1981, Bedrock geology, altitude of base, and 1980 saturated thickness of the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming: U.S. Geological Survey Hydrologic Investigations Atlas HA-648, 2 sheets, scale 1:2,500,000." description_attribution: ~ display_name: 'Water-level change, High Plains aquifer, 2005 to 2009' doi: ~ end_time: ~ identifier: usgs-water-level-change-high-plains-aquifer-2005-to-2009 lat_max: 43.80642 lat_min: 31.598356 lon_max: -96.225303 lon_min: -106.016217 name: 'Water-level change, High Plains aquifer, 2005 to 2009' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/usgs-water-level-change-high-plains-aquifer-2005-to-2009 url: http://water.usgs.gov/GIS/dsdl/hp_wlc0509.zip variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "WaterWatch (http://waterwatch.usgs.gov) is a U.S. Geological Survey (USGS) World Wide Web site that displays maps, graphs, and tables describing real-time, recent, and past streamflow conditions for the United States. The real-time information generally is updated on an hourly basis. WaterWatch provides streamgage-based maps that show the location of more than 3,000 long-term (30 years or more) USGS streamgages; use colors to represent streamflow conditions compared to historical streamflow; feature a point-and-click interface allowing users to retrieve graphs of stream stage (water elevation) and flow; and highlight locations where extreme hydrologic events, such as floods and droughts, are occurring. \r \r The streamgage-based maps show streamflow conditions for real-time, average daily, and 7-day average streamflow. The real-time streamflow maps highlight flood and high flow conditions. The 7-day average streamflow maps highlight below-normal and drought conditions. \r \r WaterWatch also provides hydrologic unit code (HUC) maps. HUC-based maps are derived from the streamgage-based maps and illustrate streamflow conditions in hydrologic regions. These maps show average streamflow conditions for 1-, 7-, 14-, and 28-day periods, and for monthly average streamflow; highlight regions of low flow or hydrologic drought; and provide historical runoff and streamflow conditions beginning in 1901.\r \r WaterWatch summarizes streamflow conditions in a region (state or hydrologic unit) in terms of the long-term typical condition at streamgages in the region. Summary tables are provided along with time-series plots that depict variations through time. WaterWatch also includes tables of current streamflow information and locations of flooding." description_attribution: ~ display_name: 'WaterWatch -- Current Water Resources Conditions' doi: ~ end_time: ~ identifier: doi-4515 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: 'WaterWatch -- Current Water Resources Conditions' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: dataset uri: /dataset/doi-4515 url: http://waterwatch.usgs.gov/new/ variables: ~ version: ~ vertical_extent: ~