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This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
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The U. S. Geological Survey (USGS) makes long-term seismic hazard forecasts that are used in building codes. The hazard models usually consider only natural seismicity; non-tectonic (man-made) earthquakes are excluded because they are transitory or too small. In the past decade, however, thousands of earthquakes related to underground fluid injection have occurred in the central and eastern U.S. (CEUS), and some have caused damage. In response, the USGS is now also making short-term forecasts that account for the hazard from these induced earthquakes. A uniform earthquake catalog is assembled by combining and winnowing pre-existing source catalogs. Seismicity statistics are analyzed to develop recurrence models,...
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In cooperation with the Texas Commission on Environmental Quality (TCEQ), the U.S. Geological Survey (USGS) utilized various field and laboratory methods to determine the presence and concentration of cyanobacteria, cyanotoxins, and taste-and-odor compounds in Texas water bodies. This data release documents the results from water-quality samples collected from 41 water bodies in Texas during 2016–19. Both qualitative and quantitative field and laboratory methods were performed. Analyses included phytoplankton taxonomy, measurements of phytoplankton biomass, and concentrations of cyanotoxins, taste-and-odor compounds, and photosynthetic pigments. Water-quality samples were also collected to provide supporting data...
Tags: Benbrook Lake, Braunig Lake, Caddo Lake, Caruth Lake, Cedar Creek Reservoir, All tags...
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This geodatabase contains the official boundary of the Southeast Aquatic Resource Partnership with State Boundaries. The boundary was originally developed by the United States Fish and Wildlife Service and was updated in 2020 to reflect revisions from the Southeast Aquatic Resource Partnership, a recognized Fish Habitat Partnership (FHP) of the National Fish Habitat Partnership.
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
These monthly water-use rasters estimate the total amount of groundwater used for aquaculture and irrigation purposes within the Mississippi Alluvial Plain during the growing season (April-October). This dataset contains 133 monthly water-use rasters that are totals of 6 different categories: aquaculture, cotton, corn, rice, soybeans, and all other crops. Units are in cubic meters per square mile. Aquaculture and irrigation water-use estimates are included in this data release in two different formats: georeferenced TIFFs (GeoTIFFs) for simple viewing and geospatial operations and a network common data form (NetCDF) for use in modeling applications and with each month as a separate raster array table.
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These data were collected as part of a field trial to test the effectiveness of a sylvatic plague vaccine (see Rocke et al., 2017 for details). Vaccine and control plots were selected randomly from the available pairs at each location. Baits containing Rhodamine B, a biomarker, were distributed at each plot. At least 1 week and no more than 2 months post-baiting each year, local collaborators captured, marked, and sampled prairie dogs. Hair and whisker samples were collected from up to 50 unique prairie dogs from each plot each year. Sex, age, weight, and the identity of all current-year and prior-year recaptures were recorded for each captured animal. In the laboratory, hair/whiskers were assessed for the presence...
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This dataset contains monthly pumping rates for municipal and industrial (MnI) wells in New Mexico within the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM). In RGTIHM, these wells are considered the Other New Mexico (ONM) group. Monthly pumping rates are presented in units of cubic feet per day for the period from March 1940 through December 2014.
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Hurricane Harvey made landfall near Rockport, Texas on August 25 as a category 4 hurricane with wind gusts exceeding 150 miles per hour. As Harvey moved inland the forward motion of the storm slowed down and produced tremendous rainfall amounts to southeastern Texas and southwestern Louisiana. Historic flooding occurred in Texas and Louisiana as a result of the widespread, heavy rainfall over an 8-day period in Louisiana in August and September 2017. Following the storm event, U.S. Geological Survey (USGS) hydrographers recovered and documented 2,123 high-water marks in Texas, noting location and height of the water above land surface. Many of these high-water marks were used to create flood-inundation maps for...
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In situ recovery (ISR) uranium mining is a technique in which uranium is extracted by a series of injection and recovery wells developed in a permeable sandstone host rock. Chemical constituents (lixiviants) are added to groundwater injection wells to mobilize uranium into groundwater. Before mining, baseline water quality is measured by sampling groundwater from the aquifer intended to be mined and over and underlying units over a geographic area that reflects the proposed mine location. After mining, groundwater is restored using a variety of techniques intended to return groundwater quality to as close to baseline as practicable. After groundwater has been restored, groundwater quality is monitored to determine...
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These data represent simulated soil temperature and moisture conditions for current climate, and for future climate represented by all available climate models at two time periods during the 21st century. These data were used to: 1) quantify the direction and magnitude of expected changes in several measures of soil temperature and soil moisture, including the key variables used to distinguish the regimes used in the R and R categories; 2) assess how these changes will impact the geographic distribution of soil temperature and moisture regimes; and 3) explore the implications for using R and R categories for estimating future ecosystem resilience and resistance.
These monthly water-use rasters estimate the total amount of groundwater used for aquaculture and irrigation purposes within the Mississippi Alluvial Plain during the growing season (April-October). This dataset contains 798 monthly water-use rasters for 6 different categories: aquaculture, cotton, corn, rice, soybeans, and all other crops. Units are in cubic meters per square mile.
The annual water-use rasters estimate the total amount of groundwater used for aquaculture and irrigation purposes within the Mississippi Alluvial Plain. This dataset contains 19 annual water-use rasters that are totals of 6 different use categories: aquaculture, cotton, corn, rice, soybeans, and all other crops. Units are in cubic meters per square mile.
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This data set includes the relative production scenarios for eight (8) grass species based on linear models from Epstein, et al. (1998). We selected two indicator species for each community: shortgrass prairie: blue grama (Bouteloua gracilis; BOGR) and buffalo grass (Bouteloua dactyloides; BODA); mixedgrass prairie: sideoats grama (Bouteloua curtipendula; BOCU) and little bluestem (Schizachyrium scoparium; SCSC); tallgrass prairie: big bluestem (Andropogon gerardii; ANGE) and Indiangrass (Sorghastrum nutans; SONU); and semiarid grasslands: black grama (Bouteloua eriopoda; BOER) and tobosagrass (Pleuraphis mutica; PLMU). Soil texture (percent by weight) came from the Earth Systems Science Center (2008) which provided...
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This map layer shows Indian lands of the United States. For the most part, only areas of 320 acres or more are included; some smaller areas deemed to be important or significant are also included. Federally-administered lands within a reservation are included for continuity; these may or may not be considered part of the reservation and are simply described with their feature type and the administrating Federal agency. Some established Indian lands which are larger than 320 acres are not included in this map layer because their boundaries were not available from the owning or administering agency.
Tags: Alabama, Alaska, Arizona, Arkansas, BIA, All tags...
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The Critical Minerals in Archived Mine Samples Database (CMDB) contains chemistry and geologic information for historic ore and ore-related rock samples from mineral deposits in the United States. In addition, the database contains samples from archetypal deposits from 27 other countries in North America, South America, Asia, Africa and Europe. Samples were obtained from archived ore collections under the U.S. Geological Survey's project titled "Quick Assessment of Rare and Critical Metals in Ore Deposits: A National Assessment" (2008 to 2013) in an effort to begin an assessment of the Nations' previously mined ore deposits for critical minerals. Mineralized and altered rock samples were provided by the Colorado...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Alaska, Argentina, Arizona, Arkansas, Australia, All tags...


map background search result map search result map FSA 10:1 NAIP Imagery m_3709247_se_15_1_20140822_20141020 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3709255_se_15_1_20140822_20141020 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3709264_nw_15_1_20140823_20141020 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3610128_ne_14_1_20150430_20150817 3.75 x 3.75 minute JPEG2000 from The National Map SPV field trials bait uptake data Brazos River Other New Mexico Wells: Municipal and Industrial Monthly Pumping Rates for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Potential productivity and change estimates for eight grassland species to evaluate vulnerability to climate change in the southern Great Plains Historical and 21st century soil temperature and moisture data for drylands of western U.S. and Canada USGS 1:1,000,000-Scale Indian Lands of the United States 201412 Shapefile Historic groundwater quality of in situ recovery (ISR) uranium mines, Texas Assessment of Field and Laboratory Methods for the Detection and Analyses of Cyanobacteria and Cyanotoxins in Texas Reservoirs Global Geochemical Database for Critical Minerals in Archived Mine Samples USGS National Landcover - Woodland in Texas 20190613 State or Territory FileGDB 10.1 Official Recognized Boundary of Southeast Aquatic Resource Partnership with State Boundaries, 2020 Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 3 Model inputs Annual Aquaculture and Irrigation Water-Use Estimates for the Mississippi Alluvial Plain, 1999-2017 Monthly Aquaculture and Irrigation Water-Use Estimates by Use for the Mississippi Alluvial Plain, 1999-2017 Monthly Aquaculture and Irrigation Water-Use Estimates for the Mississippi Alluvial Plain, 1999-2017 FSA 10:1 NAIP Imagery m_3709247_se_15_1_20140822_20141020 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3709255_se_15_1_20140822_20141020 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3709264_nw_15_1_20140823_20141020 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3610128_ne_14_1_20150430_20150817 3.75 x 3.75 minute JPEG2000 from The National Map Other New Mexico Wells: Municipal and Industrial Monthly Pumping Rates for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Historic groundwater quality of in situ recovery (ISR) uranium mines, Texas Annual Aquaculture and Irrigation Water-Use Estimates for the Mississippi Alluvial Plain, 1999-2017 Monthly Aquaculture and Irrigation Water-Use Estimates by Use for the Mississippi Alluvial Plain, 1999-2017 Monthly Aquaculture and Irrigation Water-Use Estimates for the Mississippi Alluvial Plain, 1999-2017 Assessment of Field and Laboratory Methods for the Detection and Analyses of Cyanobacteria and Cyanotoxins in Texas Reservoirs USGS National Landcover - Woodland in Texas 20190613 State or Territory FileGDB 10.1 Potential productivity and change estimates for eight grassland species to evaluate vulnerability to climate change in the southern Great Plains SPV field trials bait uptake data Historical and 21st century soil temperature and moisture data for drylands of western U.S. and Canada Official Recognized Boundary of Southeast Aquatic Resource Partnership with State Boundaries, 2020 Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 3 Model inputs USGS 1:1,000,000-Scale Indian Lands of the United States 201412 Shapefile Global Geochemical Database for Critical Minerals in Archived Mine Samples