Filters: Tags: water (X) > partyWithName: U.S. Geological Survey (X)

Filters Date Range Past year (45) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions ArcGIS REST Service (3) Shapefile (3) Budget (1) Expando (1) OGC Web Service (1) Project (1) Raster (1) Types Citation (27) Map Service (14) OGC WFS Layer (10) OGC WMS Layer (10) OGC WMS Service (7) More... Contacts U.S. Geological Survey, National Geospatial Technical Operations Center Jordan S. Read Samantha K. Oliver U.S. Geological Survey - ScienceBase Water Resources More... Categories Data (48) pre-SM502.8 (18) Data Release - Revised (1) Project (1) Tag Types Theme (214) Place (212) Harvest Set (39) Science Themes (19) USGS Scientific Topic Keyword (5) Label (3) Organization (20) More... Tag Schemes None (132) Geographic Names Information System (151) ISO 19115 Topic Category (194) USGS Thesaurus (52) none (43) U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST (34) The National Map Theme Thesaurus (124) More... View Results as: JSON ATOM CSV

USGS Land Cover - Woodland for New Mexico 20180810 State or Territory Shapefile Geospatial data that is a derivative land cover product depicting woodland on topographic maps. Tags: Agricultural land, Barren land, Downloadable Data, Forest land, Land Cover, All tags... Land Cover - Woodland, Land Cover - Woodland, NM, New Mexico, Not Classified, Orthoimage, Range land, Shapefile, Shapefile, State, State, US, US, United States, Urban and built-up land, Water, Wetland, Woodland, annotations, biota, ecology, environment, farming, flora, habitat, imagery, imageryBaseMapsEarthCover, land cover, Fewer tags USGS National Landcover - Woodland in Washington 20200309 State or Territory FileGDB 10.1 Geospatial data that is a derivative land cover product depicting woodland on topographic maps. Tags: Agricultural land, Barren land, Downloadable Data, FileGDB 10.1, FileGDB 10.1, All tags... Forest land, Land Cover, Land Cover - Woodland, Land Cover - Woodland, Not Classified, Orthoimage, Range land, State, State, US, US, United States, United States, Urban and built-up land, WA, Washington, Water, Wetland, Woodland, annotations, biota, ecology, environment, farming, flora, habitat, imagery, imageryBaseMapsEarthCover, land cover, Fewer tags USGS Watershed Boundary Dataset (WBD) Overlay Map Service from The National Map The Watershed Boundary Dataset (WBD) from The National Map (TNM) defines the perimeter of drainage areas formed by the terrain and other landscape characteristics. The drainage areas are nested within each other so that a large drainage area, such as the Upper Mississippi River, will be composed of multiple smaller drainage areas, such as the Wisconsin River. Each of these smaller areas can further be subdivided into smaller and smaller drainage areas. The WBD uses six different levels in this hierarchy, with the smallest averaging about 30,000 acres. The WBD is made up of polygons nested into six levels of data respectively defined by Regions, Subregions, Basins, Subbasins, Watersheds, and Subwatersheds. For additional... Categories: Data; Types: ArcGIS REST Map Service, Map Service; Tags: HU, HU10, HU12, HU14, HU16, All tags... HU2, HU4, HU6, HU8, Hydrography, NGP-TNM, NHD, Overlay Map Service, REST, US, United States, WBD, WMS, Water – Inland, a-16, basin, canal, dam, ditch, drainage, gage, gaging station, hydrography, hydrologic unit, inlandWaters, lake, marsh, ngda, pond, region, reservoir, river, spring, stream, subbasin, subregion, subwatershed, swamp, water, water - inland, watershed, well, Fewer tags USGS National Landcover - Woodland in Wyoming 20210726 State or Territory FileGDB 10.1 Geospatial data that is a derivative land cover product depicting woodland on topographic maps. Tags: Agricultural land, Barren land, Downloadable Data, FileGDB 10.1, FileGDB 10.1, All tags... Forest land, Land Cover, Land Cover - Woodland, Land Cover - Woodland, Not Classified, Orthoimage, Range land, State, State, US, US, United States, United States, Urban and built-up land, WY, Water, Wetland, Woodland, Wyoming, annotations, biota, ecology, environment, farming, flora, habitat, imagery, imageryBaseMapsEarthCover, land cover, Fewer tags USGS Geographic Names (GNIS) Overlay Map Service from The National Map - National Geospatial Data Asset (NGDA) Geographic Names Information System (GNIS) USGS developed The National Map (TNM) Gazetteer as the Federal and national standard (ANSI INCITS 446-2008) for geographic nomenclature based on the Geographic Names Information System (GNIS). The National Map Gazetteer contains information about physical and cultural geographic features, geographic areas, and locational entities that are generally recognizable and locatable by name (have achieved some landmark status) and are of interest to any level of government or to the public for any purpose that would lead to the representation of the feature in printed or electronic maps and/or geographic information systems. The dataset includes features of all types in the United States, its associated areas, and Antarctica,... Types: Citation; Tags: BGN, Cultural Resources Theme, GNIS, Geographic Names, NGDA, All tags... NGP-TNM, National Geospatial Data Asset, Overlay Map Service, REST, US, United States, WFS, WMS, a-16, administrative, board on geographic names, cemetery, community, cultural, cultural resource, feature id, federal, gazetteer, geographic, governmental unit, historical, hydrography, inlandWaters, landform, location, name, place, populated place, society, statistical, structure, structure, toponomy, toponym, toponymic, transportation, variant name, water, Fewer tags USGS Hydrography (NHD) Overlay Map Service from The National Map - National Geospatial Data Asset (NGDA) National Hydrography Dataset (NHD) The USGS National Hydrography Dataset (NHD) service from The National Map (TNM) is a comprehensive set of digital spatial data that encodes information about naturally occurring and constructed bodies of surface water (lakes, ponds, and reservoirs), paths through which water flows (canals, ditches, streams, and rivers), and related entities such as point features (springs, wells, stream gages, and dams). The information encoded about these features includes classification and other characteristics, delineation, geographic name, position and related measures, a "reach code" through which other information can be related to the NHD, and the direction of water flow. The network of reach codes delineating water and... Types: Citation; Tags: HU, Hydrography, NGDA, NGP-TNM, NHD, All tags... National Geospatial Data Asset, Overlay Map Service, REST, US, United States, WBD, WMS, Water Inland Theme, a-16, basin, canal, dam, ditch, drainage, gage, gaging station, hydrography, hydrologic unit, inlandWaters, lake, marsh, pond, region, reservoir, river, spring, stream, subbasin, subregion, subwatershed, swamp, water, water - inland, watershed, well, Fewer tags USGS National Landcover - Woodland in North Carolina 20190817 State or Territory Shapefile Geospatial data that is a derivative land cover product depicting woodland on topographic maps. Tags: Agricultural land, Barren land, Downloadable Data, Forest land, Land Cover, All tags... Land Cover - Woodland, Land Cover - Woodland, NC, North Carolina, Not Classified, Orthoimage, Range land, Shapefile, Shapefile, State, State, US, US, United States, United States, Urban and built-up land, Water, Wetland, Woodland, annotations, biota, ecology, environment, farming, flora, habitat, imagery, imageryBaseMapsEarthCover, land cover, Fewer tags USGS National Landcover - Woodland in Montana 20200715 State or Territory Shapefile Geospatial data that is a derivative land cover product depicting woodland on topographic maps. Tags: Agricultural land, Barren land, Downloadable Data, Forest land, Land Cover, All tags... Land Cover - Woodland, Land Cover - Woodland, MT, Montana, Not Classified, Orthoimage, Range land, Shapefile, Shapefile, State, State, US, US, United States, United States, Urban and built-up land, Water, Wetland, Woodland, annotations, biota, ecology, environment, farming, flora, habitat, imagery, imageryBaseMapsEarthCover, land cover, Fewer tags USGS Land Cover - Woodland for Puerto Rico 20180913 State or Territory FileGDB 10.1 Geospatial data that is a derivative land cover product depicting woodland on topographic maps. Tags: Agricultural land, Barren land, Downloadable Data, FileGDB 10.1, FileGDB 10.1, All tags... Forest land, Land Cover, Land Cover - Woodland, Land Cover - Woodland, Not Classified, Orthoimage, PR, Puerto Rico, Range land, State, State, US, US, United States, United States, Urban and built-up land, Water, Wetland, Woodland, annotations, biota, ecology, environment, farming, flora, habitat, imagery, imageryBaseMapsEarthCover, land cover, Fewer tags USGS National Landcover - Woodland in Texas 20190613 State or Territory Shapefile Geospatial data that is a derivative land cover product depicting woodland on topographic maps. Tags: Agricultural land, Barren land, Downloadable Data, Forest land, Land Cover, All tags... Land Cover - Woodland, Land Cover - Woodland, Not Classified, Orthoimage, Range land, Shapefile, Shapefile, State, State, TX, Texas, US, US, United States, United States, Urban and built-up land, Water, Wetland, Woodland, annotations, biota, ecology, environment, farming, flora, habitat, imagery, imageryBaseMapsEarthCover, land cover, Fewer tags Process-guided deep learning water temperature predictions: 2 Model configurations (lake metadata and parameter values) This dataset provides model specifications used to estimate water temperature from a process-based model (Hipsey et al. 2019). The format is a single JSON file indexed for each lake based on the "site_id". This dataset is part of a larger data release of lake temperature model inputs and outputs for 68 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9AQPIVD). Categories: Data; Tags: 007, 012, Fish, MN, Minnesota, All tags... Northeast CASC, Rivers, Streams and Lakes, US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags Process-guided deep learning water temperature predictions: 3b Sparkling Lake inputs This dataset includes model inputs that describe local weather conditions for Sparkling Lake, WI. Weather data comes from two sources: locally measured (2009-2017) and gridded estimates (all other time periods). There are two comma-delimited files, one for weather data (one row per model timestep) and one for ice-flags, which are used by the process-guided deep learning model to determine whether to apply the energy conservation constraint (the constraint is not applied when the lake is presumed to be ice-covered). The ice-cover flag is a modeled output and therefore not a true measurement (see "Predictions" and "pb0" model type for the source of this prediction). This dataset is part of a larger data release of... Categories: Data; Tags: 007, 012, Fish, Northeast CASC, Rivers, Streams and Lakes, All tags... US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags Process-guided deep learning water temperature predictions: 5c All lakes historical prediction data Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin. Process-Based (PB) models were configured and calibrated with training data to reduce root-mean squared error. Uncalibrated models used default configurations (PB0; see Winslow et al. 2016 for details) and no parameters were adjusted according to model fit with observations. Deep Learning (DL) models were Long Short-Term Memory artificial recurrent neural network models which used training data to adjust model structure and weights for temperature predictions (Jia et al. 2019). Process-Guided Deep Learning (PGDL) models were DL models with an added... Categories: Data; Tags: 007, 012, Fish, MN, Minnesota, All tags... Northeast CASC, Rivers, Streams and Lakes, US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags Process-guided deep learning water temperature predictions: 3c All lakes historical inputs This dataset includes model inputs that describe weather conditions for the 68 lakes included in this study. Weather data comes from gridded estimates (Mitchell et al. 2004). There are two comma-separated files, one for weather data (one row per model timestep) and one for ice-flags, which are used by the process-guided deep learning model to determine whether to apply the energy conservation constraint (the constraint is not applied when the lake is presumed to be ice-covered). The ice-cover flag is a modeled output and therefore not a true measurement (see "Predictions" and "pb0" model type for the source of this prediction). This dataset is part of a larger data release of lake temperature model inputs and outputs... Categories: Data; Tags: 007, 012, Fish, MN, Minnesota, All tags... Northeast CASC, Rivers, Streams and Lakes, US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags USGS National Landcover - Woodland in Arizona 20210912 State or Territory FileGDB 10.1 Geospatial data that is a derivative land cover product depicting woodland on topographic maps. Tags: AZ, Agricultural land, Arizona, Barren land, Downloadable Data, All tags... FileGDB 10.1, FileGDB 10.1, Forest land, Land Cover, Land Cover - Woodland, Land Cover - Woodland, Not Classified, Orthoimage, Range land, State, State, US, US, United States, United States, Urban and built-up land, Water, Wetland, Woodland, annotations, biota, ecology, environment, farming, flora, habitat, imagery, imageryBaseMapsEarthCover, land cover, Fewer tags Specific Water Quality Sites for Davis County, Utah These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This map shows specific water-quality items and hydrologic data site information which come from QWDATA (Water Quality) and GWSI (Ground Water Information System). Both QWDATA and GWSI are subsystems of NWIS (National Water Inventory System)of the USGS (United States Geologic Survey). This map is for Davis County, Utah. The scope and purpose of NWIS is defined on the web site: http://water.usgs.gov/public/pubs/FS/FS-027-98/ Tags: Alkalinity, Ammonia, Ammonia unionize, Davis, Davis County, All tags... Dissolved solids, Flow Rate, Hardness, Hardness total, NSDI, Nitrogen, Nitrogen nitrate, Quality, Specific conductance, State of Utah, USGS Science Data Catalog (SDC), Utah, Water, Water Level, Water Quality, Water Quality Site, Water temperature, environment, geoscientificInformation, inlandWaters, inlandWaters, pH, Fewer tags Specific Water Quality Sites for Grand County, Utah These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This map shows specific water-quality items and hydrologic data site information which come from QWDATA (Water Quality) and GWSI (Ground Water Information System). Both QWDATA and GWSI are subsystems of NWIS (National Water Inventory System)of the USGS (United States Geologic Survey). This map is for Grand County, Utah. The scope and purpose of NWIS is defined on the web site: http://water.usgs.gov/public/pubs/FS/FS-027-98/ Tags: Alkalinity, Ammonia, Ammonia unionize, Dissolved solids, Flow Rate, All tags... Grand, Grand County, Hardness, Hardness total, NSDI, Nitrogen, Nitrogen nitrate, Quality, Specific conductance, State of Utah, USGS Science Data Catalog (SDC), Utah, Water, Water Level, Water Quality, Water Quality Site, Water temperature, environment, geoscientificInformation, inlandWaters, inlandWaters, pH, Fewer tags Specific Water Quality Sites for Tooele County, Utah These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This map shows specific water-quality items and hydrologic data site information which come from QWDATA (Water Quality) and GWSI (Ground Water Information System). Both QWDATA and GWSI are subsystems of NWIS (National Water Inventory System)of the USGS (United States Geologic Survey). This map is for Tooele County, Utah. The scope and purpose of NWIS is defined on the web site: http://water.usgs.gov/public/pubs/FS/FS-027-98/ Tags: Alkalinity, Ammonia, Ammonia unionize, Dissolved solids, Flow Rate, All tags... Hardness, Hardness total, NSDI, Nitrogen, Nitrogen nitrate, Quality, Specific conductance, State of Utah, Tooele, Tooele County, USGS Science Data Catalog (SDC), Utah, Water, Water Level, Water Quality, Water Quality Site, Water temperature, environment, geoscientificInformation, inlandWaters, inlandWaters, pH, Fewer tags Stream-stage Dataset at Santa Cruz River at Santa Gertrudis Lane, geographic NAD83 (Water Years 2015–2017) This dataset contains stream-stage data for Santa Cruz River at Santa Gertrudis Lane (SC10). The pressure transducer was mounted to a metal post secured in the stream near the right bank. The data were recorded using non-vented Solinst Levelogger for the period of February 12, 2015 to December 31, 2016. The data were logged continuously at a 15-minute interval and manually downloaded. Data were then corrected with the atmospheric pressure collected from a Solinst Barologger located at SC14 and analyzed for erroneous data. Categories: Data; Types: Citation; Tags: DNA, E. coli, Escherichia coli, Stage, Tumacácori National Historical Park, All tags... Upper Santa Cruz River, Water, Water Quality, Fewer tags Stream-stage Dataset at Santa Cruz River at Anza Trail Crossing, geographic NAD83 (Water Years 2015–2017) This dataset contains stream-stage data for Santa Cruz River at Anza Trail Crossing (SC12). The pressure transducer was mounted to a metal post secured in the stream near the left bank. The data were recorded using non-vented Solinst Levelogger for the period of May 31, 2016 to December 31, 2016. The data were logged continuously at a 15-minute interval and manually downloaded. Data were then corrected with the atmospheric pressure collected from a Solinst Barologger located at SC14 and analyzed for erroneous data. Categories: Data; Types: Citation; Tags: DNA, E. coli, Escherichia coli, Stage, Tumacácori National Historical Park, All tags... Upper Santa Cruz River, Water, Water Quality, Fewer tags « 1 2 3 4 5 ... 11 »