USGS Topo Map Vector Data (Vector) 38911 Ruin Point UT (published 20231225) GeoPackage

Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.

Tags: 7.5 x 7.5 minute, 7_5_Min, CO, Colorado, Combined Vector, All tags... Combined Vector, Combined Vector, Dolores, Downloadable Data, GeoPackage, Montezuma, Open Geospatial Consortium GeoPackage 1.2, Public Land Survey System, San Juan, Topo Map Vector Data, US, UT, United States, Utah, boundary, contours, geographic names, hydrography, structures, transportation, woodland, Fewer tags

Seasonal Blue Water Evapotranspiration 1986 – 2020 for the Croplands in the High Plains Aquifer Region

Estimation of irrigation water use provides essential information for the management and conservation of agricultural water resources. The blue water evapotranspiration (BWET) raster dataset at 30-meter resolution is created to estimate agricultural irrigation water consumption. The dataset contains seasonal total (1 May to 30 September) BWET time series (1986 – 2020) for the croplands across the U.S. High Plains aquifer region. The BWET estimates are generated by integrating an energy-balance ET model (Operational Simplified Surface Energy Balance model) and a water-balance ET model (Vegetation ET model). BWET in croplands reflects crop consumptive use of irrigation water extracted from surface water and groundwater...

Tags: Colorado, High Plains aquifer, Hydrology, Kansas, Nebraska, All tags... New Mexico, Oklahoma, Remote Sensing, South Dakota, Texas, USGS Science Data Catalog (SDC), Water Resources, Wyoming, blue water, evapotranspiration, irrigation, remote sensing, water use, Fewer tags

RestoreNet subplot data for 21 sites within major dryland ecoregions throughout the southwestern United States, 2018 - 2021

These data were compiled for a networked field-trial restoration experiment (RestoreNet) that spans the southwestern US, including 21 distributed field sites. The objective of our study was to understand the environmental factors and restoration practices (including seed mixes and soil manipulation) that increase plant establishment and survival to ultimate improve restoration outcomes in dryland environments. These data represent point-in-time plant density and height measurements at our field sites at the time of monitoring. These data were collected at 21 arid and semi-arid sites, located throughout Arizona, Utah, New Mexico, and California. These data were collected by USGS Restoration Assessment and Monitoring...

Categories: Data; Tags: Arizona, Botany, California, Chihuahuan Desert, Climatology, All tags... Colorado, Colorado Plateau, Ecology, Geography, Information Sciences, Mojave Desert, New Mexico, Soil Sciences, Sonoran Desert, USGS Science Data Catalog (SDC), Utah, arid, atmospheric and climatic processes, biogeography, biota, climate change, climatologyMeteorologyAtmosphere, data release, drylands, ecological modeling, ecological processes, ecological restoration, ecosystem monitoring, environment, environmental conditions, environmental variables, field inventory and monitoring, field sites, geoscientificInformation, grassland ecosystems, growth responses, monitoring, plant density, plant establishment, plant growth, plant height, plant responses, plant survival, plants (organisms), post-restoration, precipitation (atmospheric), remediation, restoration experiment, restoration seeding, restoration treatments, restoration variables, seed mixes, seedling emergence, seedling survival, semi-arid, site characteristics, soil resources, soil texture, southwestern US, spatial environmental variation, temporal change, temporal environmental variation, weedy species, zero-inflated data, Fewer tags

Projections of Rangeland Fractional Component Cover Across Western Northern American Rangelands for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods

Climate change over the past century has altered vegetation community composition and species distributions across rangelands in the western United States. The scale and magnitude of climatic influences are largely unknown. We used fractional component cover data for rangeland functional groups and weather data from the 1985 to 2023 reference period in conjunction with soils and topography data to develop empirical models describing the spatio-temporal variation in component cover. To investigate the ramifications of future change across the western US, we extended models based on historical relationships over the reference period to model landscape effects based on future weather conditions from two emissions scenarios...

Tags: AB, AZ, Alberta, Arizona, Arizona Plateau, All tags... Black Hills, Blue Mountains, CA, CO, California, Canada, Colorado, Colorado Plateau, Columbia Plateau, Grand Canyon, Great Basin, Gunnison, ID, Idaho, Land Use Change, MT, Middle Rockies, Montana, ND, NE, NM, NV, Nebraska, Nevada, New Mexico, North Dakota, OR, Oregon, Prairie Provinces, Rocky Mountains, SD, SK, Saskatchewan, Snake River Plain, Sonoran Desert, South Dakota, Southwest Tablelands, Three Forks, USGS Science Data Catalog (SDC), UT, United States, Utah, WA, WY, Wasatch, Washington, Western US, Wyoming, Yellowstone, annual herbaceous, bare ground, biota, climate change, environment, geoscientificInformation, grass, grassland change, herbaceous, imageryBaseMapsEarthCover, litter, rangeland, rangeland management, sagebrush, shrub, shrubland, shrubland change, shrubland ecosystems, shrublands, terrestrial ecosystems, trends, vegetation, vegetation change, Fewer tags

USGS Topo Map Vector Data (Vector) 9655 Colorado Springs CO (published 20240103) FileGDB

Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.

Types: Citation; Tags: 7.5 x 7.5 minute, 7_5_Min, CO, Colorado, Combined Vector, All tags... Combined Vector, Combined Vector, Downloadable Data, El Paso, Esri File GeoDatabase 10, FileGDB, Public Land Survey System, Topo Map Vector Data, US, United States, boundary, contours, geographic names, hydrography, structures, transportation, woodland, Fewer tags

USGS Topo Map Vector Data (Vector) 22099 Ironton CO (published 20240103) FileGDB

Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.

Types: Citation; Tags: 7.5 x 7.5 minute, 7_5_Min, CO, Colorado, Combined Vector, All tags... Combined Vector, Combined Vector, Downloadable Data, Esri File GeoDatabase 10, FileGDB, Ouray, Public Land Survey System, San Juan, San Miguel, Topo Map Vector Data, US, United States, boundary, contours, geographic names, hydrography, structures, transportation, woodland, Fewer tags

USGS NED 1/3 arc-second Contours for Durango E, Colorado 1 x 1 degree (published 20240112) Shapefile

These vector contour lines are derived from the 3D Elevation Program using automated and semi-automated processes. They were created to support 1:24,000-scale CONUS and Hawaii, 1:25,000-scale Alaska, and 1:20,000-scale Puerto Rico / US Virgin Island topographic map products, but are also published in this GIS vector format. Contour intervals are assigned by 7.5-minute quadrangle, so this vector dataset is not visually seamless across quadrangle boundaries. The vector lines have elevation attributes (in feet above mean sea level on NAVD88), but this dataset does not carry line symbols or annotation.

Tags: 1 x 1 degree, 1X1, Alamosa, Archuleta, CO, All tags... Colorado, Conejos, Downloadable Data, Elevation, Elevation Terrestrial, Esri Shapefile nan, Mineral, NM, National Elevation Dataset (NED), National Elevation Dataset (NED) 1/3 arc-second - Contours, National Elevation Dataset (NED) 1/3 arc-second - Contours, New Mexico, Rio Arriba, Rio Grande, Saguache, Shapefile, US, United States, elevation, ngda, Fewer tags

USGS NED 1/3 arc-second Contours for Aztec W, New Mexico 1 x 1 degree (published 20240112) FileGDB

These vector contour lines are derived from the 3D Elevation Program using automated and semi-automated processes. They were created to support 1:24,000-scale CONUS and Hawaii, 1:25,000-scale Alaska, and 1:20,000-scale Puerto Rico / US Virgin Island topographic map products, but are also published in this GIS vector format. Contour intervals are assigned by 7.5-minute quadrangle, so this vector dataset is not visually seamless across quadrangle boundaries. The vector lines have elevation attributes (in feet above mean sea level on NAVD88), but this dataset does not carry line symbols or annotation.

Tags: 1 x 1 degree, 1X1, CO, Colorado, Downloadable Data, All tags... Elevation, Elevation Terrestrial, Esri File GeoDatabase 10, FileGDB, La Plata, McKinley, NM, National Elevation Dataset (NED), National Elevation Dataset (NED) 1/3 arc-second - Contours, National Elevation Dataset (NED) 1/3 arc-second - Contours, New Mexico, Rio Arriba, San Juan, Sandoval, US, United States, elevation, ngda, Fewer tags

USGS National Hydrography Dataset Best Resolution (NHD) for Hydrological Unit (HU) 8 - 14030005 (published 20240109) FileGDB

The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water...

Tags: Administrative watershed units, Administrative watershed units, Area of Complex Channels, Area to be submerged, Basin, All tags... Basin, Bay/Inlet, Boundaries, Boundary, Bridge, CO, Canal/Ditch, Coastline, Colorado, Connector, Dam/Weir, Downloadable Data, Drainage areas for surface water, Drainageway, Esri File GeoDatabase 10, Estuary, FileGDB, Flow direction network, Flume, ForeShore, Gaging Station, Gate, Grand, HU-8, HU-8 Subbasin, HU10, HU12, HU14, HU16, HU2, HU4, HU6, HU8, HU8_14030005, HUC, Hazard Zone, Hydrographic, Hydrography, Hydrography, Hydrography, Hydrologic Unit Code, Hydrologic Units, Ice mass, Inundation Area, Levee, Line, Lock Chamber, Marsh, National Hydrography Dataset (NHD), National Hydrography Dataset (NHD) Best Resolution, National Hydrography Dataset (NHD) Best Resolution, Nonearthen Shore, Orthoimage, Playa, Point, PointEvent, Pond, Rapids, Rapids, Reach, Reach code, Reef, Region, Reservoir, Rock, San Juan, San Miguel, Sea/Ocean, Sink/Rise, Sounding Datum Line, Special Use Zone, Special Use Zone Limit, Spillway, Stream, Stream/River, Sub-basin, Sub-region, Subbasin, Submerged Stream, Subregion, Subwatershed, Surface water systems, Swamp, Topographic, Tunnel, US, UT, Underground Conduit, United States, Utah, WBD, WBD, Wall, Wash, Water Intake Outflow, Waterfall, Watershed, Watershed Boundaries, Watershed Boundary Dataset, Watershed Boundary Dataset, Well, artificial path, boundaries, dams, drainage systems and characteristics, inlandWaters, lakes, ngda, rivers, Fewer tags

Python code used to determine average yearly and monthly tourism per 1000 residents for public-supply water service areas

This child item describes Python code used to estimate average yearly and monthly tourism per 1000 residents within public-supply water service areas. Increases in population due to tourism may impact amounts of water used by public-supply water systems. This data release contains model input datasets, Python code used to develop the tourism information, and output estimates of tourism. This dataset is part of a larger data release using machine learning to predict public supply water use for 12-digit hydrologic units from 2000-2020. Output from this code was used as an input feature in the public supply delivery and water use machine learning models. This page includes the following files: tourism_input_data.zip...

Tags: Alabama, Arizona, Arkansas, California, Colorado, All tags... Connecticut, Conterminous United States, Delaware, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming, modeling, public supply, water use, Fewer tags

Machine learning model that estimates public-supply deliveries for domestic and other use types

This child item describes a public supply delivery machine learning model that was developed to estimate public-supply deliveries. Publicly supplied water may be delivered to domestic users or to commercial, industrial, institutional, and irrigation (CII) users. This model predicts total, domestic, and CII per capita rates for public-supply water service areas within the conterminous United States for 2009-2020. This child item contains model input datasets, code used to build the delivery machine learning model, and national predictions. This dataset is part of a larger data release using machine learning to predict public-supply water use for 12-digit hydrologic units from 2000-2020. This page includes the following...

Categories: Data; Tags: Alabama, Arizona, Arkansas, California, Colorado, All tags... Connecticut, Delaware, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming, conterminous United States, modeling, public supply, water use, Fewer tags

Python code used to download U.S. Census Bureau data for public-supply water service areas

This child item describes Python code used to query census data from the TigerWeb Representational State Transfer (REST) services and the U.S. Census Bureau Application Programming Interface (API). These data were needed as input feature variables for a machine learning model to predict public supply water use for the conterminous United States. Census data were retrieved for public-supply water service areas, but the census data collector could be used to retrieve data for other areas of interest. This dataset is part of a larger data release using machine learning to predict public supply water use for 12-digit hydrologic units from 2000-2020. Data retrieved by the census data collector code were used as input...

Tags: Alabama, Arizona, Arkansas, California, Colorado, All tags... Connecticut, Conterminous United States, Delaware, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming, modeling, public supply, water use, Fewer tags

NGWOS Ground Based Discrete Snowpack Measurements

Ground-based discrete snowpack measurements were collected during winter field campaigns starting in 2020. These data were collected as part of the U.S. Geological Survey (USGS) Next Generation Water Observing System (NGWOS) Upper Colorado River Basin project focusing on the relation between snow dynamics and water resources. This data release consists of three child items. Each child item contains snow depth, snow density, snow temperature, or snow water equivalent values measured discretely in the field. The data are provided in comma separated value (CSV) files.

Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Colorado, Colorado River, Hydrology, Integrated Water Science, Rocky Mountains, All tags... USGS Science Data Catalog (SDC), Water Resources, snow, snow density, snow depth, snow pit, snow temperature, snow water equivalent, snowpack, Fewer tags

USGS National Hydrography Dataset Best Resolution (NHD) for Hydrological Unit (HU) 8 - 10260001 (published 20231218) Shapefile

The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water...

Tags: Administrative watershed units, Administrative watershed units, Area of Complex Channels, Area to be submerged, Basin, All tags... Basin, Bay/Inlet, Boundaries, Boundary, Bridge, CO, Canal/Ditch, Cheyenne, Coastline, Colorado, Connector, Dam/Weir, Downloadable Data, Drainage areas for surface water, Drainageway, Esri Shapefile nan, Estuary, Flow direction network, Flume, ForeShore, Gaging Station, Gate, HU-8, HU-8 Subbasin, HU10, HU12, HU14, HU16, HU2, HU4, HU6, HU8, HU8_10260001, HUC, Hazard Zone, Hydrographic, Hydrography, Hydrography, Hydrography, Hydrologic Unit Code, Hydrologic Units, Ice mass, Inundation Area, KS, Kansas, Kit Carson, Levee, Line, Lock Chamber, Logan, Marsh, National Hydrography Dataset (NHD), National Hydrography Dataset (NHD) Best Resolution, National Hydrography Dataset (NHD) Best Resolution, Nonearthen Shore, Orthoimage, Playa, Point, PointEvent, Pond, Rapids, Rapids, Reach, Reach code, Reef, Region, Reservoir, Rock, Sea/Ocean, Shapefile, Sherman, Sink/Rise, Sounding Datum Line, Special Use Zone, Special Use Zone Limit, Spillway, Stream, Stream/River, Sub-basin, Sub-region, Subbasin, Submerged Stream, Subregion, Subwatershed, Surface water systems, Swamp, Topographic, Tunnel, US, Underground Conduit, United States, WBD, WBD, Wall, Wallace, Wash, Water Intake Outflow, Waterfall, Watershed, Watershed Boundaries, Watershed Boundary Dataset, Watershed Boundary Dataset, Well, artificial path, boundaries, dams, drainage systems and characteristics, inlandWaters, lakes, ngda, rivers, Fewer tags

Jefferson CO Second Order Categorized Resource Selection Function

Classified probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Classification is based on 4 probability cutoff levels with category 1 being low habitat suitability and category 4 being high habitat suitability. Categorized probability data is created from fitting a global second-order model to county level raster data. For details on model fitting and data used to produce categorized probability raster see report. https://www.fws.gov/science/catalog

Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Black Tailed Prairie Dogs, Colorado, Great Plains, Habitat suitability, Jefferson County, All tags... Rangeland and Resources Research Unit, Resource Selection Function, Second Order Habitat Selection, USDA, Fewer tags

Denver CO Third Order Resource Selection Function

Probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Probability is measured from 0 to 1 with 0 being low habitat suitability and 1 being high suitability. Probability data is created from fitting a global third-order model to county level raster data. For details on model fitting and data used to produce probability raster see report. https://www.fws.gov/science/catalog

Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Black Tailed Prairie Dogs, Colorado, Denver County, Great Plains, Habitat suitability, All tags... Rangeland and Resources Research Unit, Resource Selection Function, Third Order Habitat Selection, USDA, Fewer tags

Jefferson CO Second Order Resource Selection Function

Probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Probability is measured from 0 to 1 with 0 being low habitat suitability and 1 being high suitability. Probability data is created from fitting a global second-order model to county level raster data. For details on model fitting and data used to produce probability raster see report. https://www.fws.gov/science/catalog

Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Black Tailed Prairie Dogs, Colorado, Great Plains, Habitat suitability, Jefferson County, All tags... Rangeland and Resources Research Unit, Resource Selection Function, Second Order Habitat Selection, USDA, Fewer tags

Yuma CO Third Order Categorized Resource Selection Function

Classified probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Classification is based on 4 probability cutoff levels with category 1 being low habitat suitability and category 4 being high habitat suitability. Categorized probability data is created from fitting a global third-order model to county level raster data. For details on model fitting and data used to produce categorized probability raster see report. https://www.fws.gov/science/catalog

Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Black Tailed Prairie Dogs, Colorado, Great Plains, Habitat Suitability, Rangeland and Resources Research Unit, All tags... Resource Selection Function, Third Order Habitat Selection, USDA, Yuma County, Fewer tags

Phillips CO Third Order Categorized Resource Selection Function

Classified probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Classification is based on 4 probability cutoff levels with category 1 being low habitat suitability and category 4 being high habitat suitability. Categorized probability data is created from fitting a global third-order model to county level raster data. For details on model fitting and data used to produce categorized probability raster see report. https://www.fws.gov/science/catalog

Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Black Tailed Prairie Dogs, Colorado, Great Plains, Habitat Suitability, Phillips County, All tags... Rangeland and Resources Research Unit, Resource Selection Function, Third Order Habitat Selection, USDA, Fewer tags

Phillips CO Third Order Resource Selection Function

Probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Probability is measured from 0 to 1 with 0 being low habitat suitability and 1 being high suitability. Probability data is created from fitting a global third-order model to county level raster data. For details on model fitting and data used to produce probability raster see report. https://www.fws.gov/science/catalog

Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Black Tailed Prairie Dogs, Colorado, Great Plains, Habitat Suitability, Phillips County, All tags... Rangeland and Resources Research Unit, Resource Selection Function, Third Order Habitat Selection, USDA, Fewer tags