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Across the country, public land managers make hundreds of decisions each year that influence landscapes and ecosystems within the lands they manage. Many of these decisions involve vegetation manipulations known as land treatments. Land treatments include activities such as removal or alteration of plant biomass, seeding burned areas, and herbicide applications. Data on these land treatments historically have been stored at local offices and gathering information across large spatial areas was difficult. These valuable data needed to be centralized and stored for Federal agencies involved in land treatments because these data are useful to land managers for policy and management and to scientists for developing...
The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Pacific Region of the Unites States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based...
The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in dense time series of Landsat image stacks to produce the Landsat Burned Area Essential Climate Variable (BAECV) products. The algorithm makes use of predictors derived from individual Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. Outputs of the BAECV algorithm consist of pixel-level burn probabilities for each Landsat scene, and annual burn probability, burn classification, and burn date composites. These products were generated for the conterminous United States for 1984 through 2015. These data are also available for download at https://rmgsc.cr.usgs.gov/outgoing/baecv/BAECV_CONUS_v1.1_2017/...
These datasets provide early estimates of 2024 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from April to late June. Typically, the EAG estimates are publicly released within 7-13 days of the latest satellite observation used for that version. Each weekly release contains five fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) Field Brome (Bromus arvensis); 4) medusahead (Taeniatherum caput-medusae); and 5) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory,...
Version 4.0 of this data release provides descriptions of more than 200 mineral districts, mines, and mineral occurrences (deposits, prospects, and showings) within the United States that are reported to contain substantial enrichments of the rare earth elements (REEs). These mineral occurrences include mined deposits, exploration prospects, and other occurrences with notable concentrations of the REEs. The inclusion of a particular mineral occurrence in this database is not meant to imply that it has economic potential. Rather, these occurrences were included to capture the distribution and characteristics of the known, reported REEs deposits in the United States, which are diverse in their geology and resource...
Categories: Data,
Data Release - Revised;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Alaska,
Arizona,
Arkansas,
BLM,
Bureau of Land Management,
The State Geologic Map Compilation (SGMC) geodatabase of the conterminous United States (https://doi.org/10.5066/F7WH2N65) represents a seamless, spatial database of 48 State geologic maps that range from 1:50,000 to 1:1,000,000 scale. A national digital geologic map database is essential in interpreting other datasets that support numerous types of national-scale studies and assessments, such as those that provide geochemistry, remote sensing, or geophysical data. The SGMC is a compilation of the individual U.S. Geological Survey releases of the Preliminary Integrated Geologic Map Databases for the United States. The SGMC geodatabase also contains updated data for seven States and seven entirely new State geologic...
Categories: Data,
Data Release - Revised;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Alabama,
Arizona,
Arkansas,
California,
Colorado,
Ken Pierce was a Research Geologist with the U.S. Geological Survey for over 55 years and authored numerous scientific papers, geologic maps, and field trip guides. This data release contains digital scans of 64 field notebooks 713 annotated aerial photographs, and 640 annotated geologic and topographic maps authored or annotated by Ken Pierce or his collaborators. Information contained in these notebooks, aerial photographs, and maps provide much of the underpinning of Ken Pierce's research, which focused largely on the glacial and geomorphological history of Yellowstone National Park and surrounding areas.
Categories: Data,
Data Release - Revised;
Tags: Grand Teton National Park,
Idaho,
Montana,
USGS Science Data Catalog (SDC),
USGS:63af4e9fd34e92aad3ca60c7,
The geochemical data included here were generated as part of a Technical Assistance Agreement between the U.S. Geological Survey (USGS) and Rio Tinto Exploration based in Salt Lake City, Utah. Beginning in November of 2015, we began a project to reanalyze up to 60,000 archived sample splits originally collected as part of the National Uranium Resource Evaluation (NURE) Hydrogeochemical and Stream Sediment Reconnaissance (HSSR) project from selected areas in Arizona, California, Idaho, Montana, Nevada, New Mexico, and Utah. A small amount (approximately 0.25 g) of sieved <75 micron sample material was retrieved from the USGS National Geochemical Sample Archive for geochemical analysis. These samples were analyzed...
Categories: Data,
Data Release - Revised;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arizona,
California,
Hydrogeochemistry and Stream Sediment Reconnaissance,
Idaho,
Montana,
The USGS Wyoming-Montana Water Science Center (WY–MT WSC) recently completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages operated by the WY–MT WSC. In association with the report, this data release presents peak-flow frequency analyses for 14 selected streamgages in the Beaverhead River and Clark Fork Basins that were based on methods described by Sando and McCarthy (2018). The results are presented in three child items: a child...
Categories: Data Release - Revised;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Montana,
USGS Science Data Catalog (SDC),
Water Resources,
annual exceedance probability,
hydrology,
This is version 2.0 of Tungsten Deposits in the United States. This data release provides the descriptions of approximately 100 U.S. sites that include mineral regions, mineral occurrences (deposits), and mine features that contain enrichments of tungsten (W). This data release reports on U.S. mines and deposits with greater than or equal to 215 metric tons of tungsten metal (30,000 short ton units of tungsten trioxide). Sites in this database occur in Alaska, Arizona, California, Colorado, Idaho, Montana, North Carolina, New Mexico, Nevada, Texas, Utah and Washington. As a part of the process set forth by Executive Order 13817, the USGS National Minerals Information Center (NMIC) identified W as a critical mineral...
Categories: Data,
Data Release - Revised;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Adit,
Alaska,
Alluvial placer Sn,
Arc-related porphyry Mo,
Area,
A key input for probabilistic seismic hazard analysis (PSHA) is geologic slip rate data. Here, we compile all geologic slip rates that are reportedly used in U.S. National Seismic Hazard Map (NSHM) releases from 1996, 2002, 2007, 2008, and 2014. Although a new NSHM was released in 2018, no changes were made in geologic slip rate data used. The geologic slip rates are collated from existing NSHM reports and documentation, and no new data are reported herein. The geologic slip rates are coupled with the fault geometries used in NSHM2014/2018 calculations. The data are presented spatially as a shapefile (SHP), in keyhole markup language (KML) and geoJSON. A readme file accompanies this dataset explaining details of...
Categories: Data,
Data Release - Revised;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alaska,
Arizona,
California,
Colorado,
Geomorphology,
In response to Executive Order 13817 of December 20, 2017, the U.S. Geological Survey (USGS) coordinated with the Bureau of Land Management (BLM) to identify 36 nonfuel minerals or mineral materials considered critical to the economic and national security of the United States (U.S.) (https://pubs.usgs.gov/of/2018/1021/ofr20181021.pdf). Acquiring information on possible domestic sources of these critical minerals is the rationale for the USGS Earth Mapping Resources Initiative (Earth MRI). The program, which partners the USGS with State Geological Surveys, Federal agencies, and the private sector, aims to collect new geological, geophysical, and topographic (lidar) data in key areas of the U.S. to stimulate mineral...
Starting in 2003, the U.S. Geological Survey (USGS) Northern Rocky Mountain Science Center in West Glacier, MT, in collaboration with the National Park Service, collected avalanche observations along the Going to the Sun Road during the spring road-clearing operations. The spring road-clearing along Going to the Sun Road utilized a team of avalanche specialists from the USGS and Glacier National Park to communicate the potential avalanche hazard to crews working to clear the road of snow in preparation for summer visitation. The operations typically begin around April 1st and continue through mid-June each year. The dataset includes all of the specific details collected for each avalanche occurrence and conforms...
Categories: Data,
Data Release - Revised;
Tags: CCME-avalanche,
Glacier National Park,
Going-to-the-Sun Road,
Montana,
North West Montana,
This dataset release provides historical (2016 - 2022) estimates of fractional cover for exotic annual grass (EAG) species and a native perennial bunch grass in the arid and semi-arid rangelands of the western United States. The dataset includes four fractional cover maps per year, accompanied by corresponding confidence maps, for a group of 16 species of EAGs, cheatgrass (Bromus tectorum); medusahead (Taeniatherum caput-medusae); and Sandberg bluegrass (Poa secunda). The data were generated using a combination of field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) plots; remotely sensed data from the Harmonized Landsat and Sentinel-2 (HLS) product (specifically Normalized...
Categories: Data,
Data Release - Revised;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
California,
Colorado,
Great Basin,
Harmonized Landsat Sentinel,
Chronic Wasting Disease distribution in the United States by state and county (ver. 2.0, April 2024)
Chronic Wasting Disease (CWD) is a fatal, contagious, neuro-degenerative disease affecting multiple members of the Family Cervidae. First detected in 1967, the disease has, as of April 2024, been documented in free-ranging and/or captive cervid populations in 33 states, five Canadian provinces, the Republic of South Korea, Norway, Sweden, and Finland. The data provided here contains information on the known, available, documented distribution of CWD in the United States that is current as of the publication date. The USGS National Wildlife Health Center (NWHC) tracks changes to the known distribution of CWD in the form of a map (available on the NWHC website at https://www.usgs.gov/centers/nwhc/science/expanding-distribution-chronic-wasting-disease....
Categories: Data,
Data Release - Revised;
Types: Citation;
Tags: Alabama,
Alaska,
American Samoa,
Arizona,
Arkansas,
Genetic variation is a well-known indicator of population fitness yet is not typically included in monitoring programs for sensitive species. Additionally, most programs monitor populations at one scale, which can lead to potential mismatches with ecological processes critical to species’ conservation. Recently developed methods generating hierarchically nested population units (i.e., clusters of varying scales) for greater sage-grouse (Centrocercus urophasianus) have identified population trend declines across spatiotemporal scales to help managers target areas for conservation. The same clusters used as a proxy for spatial scale can alert managers to local units (i.e., fine-scale) with low genetic diversity relative...
Categories: Data Release - Revised;
Tags: California,
Centrocercus urophasianus,
Colorado,
Greater sage-grouse,
Idaho,
Across the country, public land managers make hundreds of decisions each year that influence landscapes and ecosystems within the lands they manage. Many of these decisions involve vegetation manipulations known as land treatments. Land treatments include activities such as removal or alteration of plant biomass, seeding burned areas, and herbicide applications. Data on these land treatments historically have been stored at local offices and gathering information across large spatial areas was difficult. These valuable data needed to be centralized and stored for Federal agencies involved in land treatments because these data are useful to land managers for policy and management and to scientists for developing...
This Data Release contains version 3.0 of two related earthquake geology databases for use in the 2023 U.S. National Seismic Hazard Model. The databases are: 1) A fault sections database (“NSHM23_FSD_v3”), which depicts the geometry of faults capable of hosting independent earthquakes, and 2) an earthquake geology site information database (“NSHM23_EQGeoDB_v3”), which contains fault slip rate constraints at points. These databases cover the 12 western U.S. states: Washington, Oregon, California, Idaho, Nevada, Arizona, Montana, Wyoming, Colorado, New Mexico and Texas. Datasets containing crustal fault information for Alaska and the central and eastern United States were prepared by Bender and others, 2021 and Thompson...
Categories: Data,
Data Release - Revised;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arizona,
California,
Colorado,
Idaho,
Montana,
This data release provides state-level estimates of annual agricultural use of pesticide compounds by major crop or crop group for states in the conterminous United States, for the time period 1992-2017, compiled from data used to make county-level estimates by means of methods described in Thelin and Stone (2013) and Baker and Stone (2015). The source of these data is the same as the published county-level pesticide use estimates for 1992-2009 (Stone, 2013), estimates for 2008-2012 (Baker and Stone, 2015), and estimates for 2013-17 (Wieben, 2019). County-level by-crop estimates are not published because of the increased uncertainty in estimating the geographic distribution of compounds applied to specific crops....
The geochemical data included here were generated as part of the Earth Mapping Resources Initiative (Earth MRI), which was developed by the U.S. Geological Survey (USGS) in response to a Federal directive calling on various Federal agencies to address potential vulnerabilities in the Nation’s supply of critical mineral resources. Earth MRI is a partnership between the USGS, State Geological Surveys, and industry coordinating with other federal agencies to accomplish the mission. The primary purpose of this initiative is to identify potentially mineralized areas containing critical minerals by gathering new basic geologic data about the United States and its territories and to make these data publicly available through...
Categories: Data,
Data Release - Revised;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Alabama,
Alaska,
Alaska Division of Geological & Geophysical Surveys,
Arizona,
Arizona Geological Survey,
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