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Note: this data release is currently being revised and is temporarily unavailable. 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,...
Categories: Data,
Data Release - Under Revision;
Tags: Alabama,
Alaska,
Arizona,
Arkansas,
California,
We created ADAPT to help partners make science-informed decisions related to species and habitat prioritization across the Southwest United States. We used Integrated Nested Laplace Approximation (INLA) to analyze the data at a 1-km resolution. We used climate and land use change data generated from CMIP 6 climate models. Count data were from eBird surveys and converted to presence/absence data for analysis. Our model consisted of fixed effects of elevation, land cover type, and effort with random effects for year and site as well as a spatial random effect. We implemented the effect of relative humidity as a spatially-varying coefficient such that the effect of relative humidity on occupancy can vary at each grid...
"The data you have secured from the U.S. Geological Survey (USGS) database identified as Geospatial Fabric for National Hydrologic Modeling, version 2.0 have not received USGS approval and as such are provisional and subject to revision. The data are released on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from its authorized or unauthorized use." "Although these data have been processed successfully on a computer system at the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty....
Categories: Data
The 2018 eruption from the lower East Rift Zone of Kīlauea volcano, on the Island of Hawaiʻi, was one of the most significant and destructive events on the volcano in the past 200 years (Neal and others, 2019; Patrick and others, 2020; Anderson and others, 2023; Mulliken and others, 2024). Between May and September of that year, 24 fissures opened on the lower flank of the volcano, producing lava fountains and expansive lava flows that covered an area of 36 km2 (Neal and others, 2019; Zoeller and others, 2020). Effusion rates at the dominant vent, fissure 8, were often >100 m3 s-1, and the total eruptive volume is estimated at 0.9–1.4 km3 (Dietterich and others, 2021) making it one of the most voluminous effusive...
This dataset is a compilation of completed, in progress, and planned restoration projects identified in the study area by the Deepwater Horizon (DWH) Project Tracker as of March 2022. The goal of compiling projects and information was to identify target resources and impacts of these projects in the study area. Projects were screened for action types, completion year, and resources intended to benefit from restoration in barrier island and shoreline systems. In addition, system components of structure and function were identified. The potential for geomorphological impacts was categorized among different types of projects.
Categories: Data;
Tags: Barrier Island,
biota,
cumulative effects,
dune restoration,
ecosystem resilience,
This collection contains the report log files produced by the R Package “AKaerial” when the QC data were created from the raw transcribed data. The QC log files document the quality control process, data standards, and what changes (if any) were made to the QC data compared to the raw data. Each log file was named following the same file naming conventions: SSSYYYY_QCLog_OOOO, where; YKD=Duck data, YKG=Goose data, YYY=Year, and OOO=observer’s first initial and last name.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/VERTEBRATES,
BIOLOGICAL CLASSIFICATION,
BIOSPHERE,
BIRDS,
DUCKS/GEESE/SWANS,
This multi-layer GeoPackage contains the Alaska Arctic Coastal Plain Aerial Breeding Pair Survey design transects from 2007 to present. The original transects were created as shapefiles and imported to this SQLite database. Transects were saved as individual polylines named according to the year they were created (e.g., “main.ACP_2007_Trans,” “main.ACP_2008_Trans,” “main.ACP_2009_Trans,” etc.). These aerial transects were developed systematically from randomly-selected start points and created along constant lines of latitude. The inter-transect spacing in the low, medium, high, and very-high density strata varies so that areas with higher waterfowl density are surveyed more intensively. The current four-year rotating...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/VERTEBRATES,
BIOLOGICAL CLASSIFICATION,
BIOSPHERE,
BIRDS,
DATA ANALYSIS AND VISUALIZATION,
This project aims to estimate spatial and temporal trends of waterfowl and waterbirds on the Arctic Coastal Plain (ACP) of Alaska from 2007 to present. The main approach is motivated by Amundson et al. (2019) using space-time generalized additive models (GAMs, Wood 2017) but with some improvements to handle observer effects and to associate sampling effort to specific spatial locations along a sampled transect similar to Miller et al. (2013). As part of this effort, a major data quality control process was begun in March 2022 that led to the correction of many data errors and re-formatting of the original 2007 to 2023 data to make it more accessible and usable to outside partners (original raw data available here)....
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/VERTEBRATES,
BIOLOGICAL CLASSIFICATION,
BIRDS,
CRANES AND ALLIES,
DUCKS/GEESE/SWANS,
This is an SQLite GeoPackage simple feature linestring vector database of the Arctic Coastal Plain survey flow tracks in coordinate reference system EPSG:4326. There is one layer for each year 2007 to 2023. The field”Year” gives the calendar year that the transects were flown, “Stratum” gives the strata name, “NavTransect” gives the transect identifier used for navigation by the pilot (this is not necessarily the same as the design transect), and the “geom” field gives the simple feature Well Known Text geometry data of the approximate flight path recreated from bird observations. See the GitHub site https://github.com/USFWS/ACP-Mapping for more information. This product was produced from the file ACPmapping.R and...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/VERTEBRATES,
BIOLOGICAL CLASSIFICATION,
BIRDS,
CRANES AND ALLIES,
DUCKS/GEESE/SWANS,
Note: this data release is currently being revised and is temporarily unavailable The U.S. Geological Survey (USGS) Water Resources Mission Area (WMA) is working to address a need to understand where the Nation is experiencing water shortages or surpluses relative to the demand for water need by delivering routine assessments of water supply and demand and an understanding of the natural and human factors affecting the balance between supply and demand. A key part of these national assessments is identifying long-term trends in water availability, including groundwater and surface water quantity, quality, and use. This data release contains Mann-Kendall monotonic trend analyses for 18 observed annual and monthly...
Categories: Data,
Data Release - Under Revision;
Tags: Hydrology,
United States,
Water Resources,
droughts,
floods,
This collection contains the quality-control (QC) transcribed data from the Arctic Coastal Plain Aerial Breeding Pair Survey. These QC data were produced from the “raw” data using the R Package “AKaerial.” The raw data were evaluated against the current data standards in the ‘AKaerial data dictionary’ and saved to new QC data files with associated log files that document any changes that were made. The data files in this collection were named using the following naming convention: ACP_YYYY_QCObs_OOOO, where ACP=Arctic Coastal Plain, YYYY=Year, QCObs=Quality control observations, and OOOO=observer’s first initial and last name. These data contain known errors. These data should not be used except as raw input for...
Categories: Data;
Tags: ANIMALS/VERTEBRATES,
BIOLOGICAL CLASSIFICATION,
BIRDS,
CRANES AND ALLIES,
DUCKS/GEESE/SWANS,
This digital dataset contains groundwater level observations for 364 wells, in addition to well construction information, from 1916 to 2014 in the Central Valley, California. Groundwater level observations are used to create groundwater level contours and to calibrate the groundwater levels for the updated Central Valley Hydrologic Model (CVHM2). Groundwater level observations were collected from five sources (USGS, 2018; SLDMWA, 2018; CADWR, 2004; CRNA, 2018).
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
Central Valley,
Groundwater,
United States,
Water Level,
This data release provides digital flight line data for a high-resolution airborne magnetic and radiometric survey over parts of Montana in the vicinity of the Boulder Batholith. The airborne survey was jointly funded by the Earth Mapping Resources Initiative and Kennecott Exploration Company. The survey was designed to meet complementary needs related to geologic mapping and characterization of mineral resource potential. A total of 34,041 line km of magnetic and radiometric data were acquired over an irregular-shaped area of 6178 km. Data were collected from a helicopter flown at a nominal terrain clearance of 100 meters (m) above topography along E-W flight lines spaced at 200 m intervals. Tie lines were flown...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: AASG,
Aeromagnetic survey,
Aeroradiometric survey,
Airborne geophysical survey,
Association of State Geologists,
This data release provides digital flight line data for a high-resolution airborne magnetic survey over parts of Montana in the vicinity of the Boulder Batholith. The airborne survey was jointly funded by the Earth Mapping Resources Initiative and Kennecott Exploration Company. The survey was designed to meet complementary needs related to geologic mapping and characterization of mineral resource potential. A total of 34,041 line km of magnetic and radiometric data were acquired over an irregular-shaped area of 6178 km2. Data were collected from a helicopter flown at a nominal terrain clearance of 100 meters (m) above topography along E-W flight lines spaced at 200 m intervals. Tie lines were flown in an N-S direction...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: AASG,
Aeromagnetic survey,
Airborne geophysical survey,
Association of State Geologists,
Boulder Mountains,
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,
The Central Valley, and particularly the San Joaquin Valley, has a long history of land subsidence caused by groundwater development. The extensive withdrawal of groundwater from the unconsolidated deposits of the San Joaquin Valley lowered groundwater levels and caused widespread land subsidence—reaching 9 meters by 1981. More than half of the thickness of the aquifer system is composed of fine-grained sediments, including clays, silts, and sandy or silty clays that are susceptible to compaction. In an effort to aid water managers in understanding how water moves through the aquifer system, predicting water-supply scenarios, and addressing issues related to water competition, the United States Geological Survey...
Categories: Data;
Tags: California,
Central Valley,
Interferometric Synthetic Aperture Radar,
Subsidence,
biota
This data release contains phytoplankton data and vertical profile measurements of water quality and light in oligotrophic (low nutrient) lakes within the Adirondack Park, New York State. Data were collected between June and October 2021 at five lakes. Four lake locations (Nearshore, Open Water, Layer, Bloom) were sampled representing one of four sample types (Bottom Sediment, Surface Water, Bloom Material, Layer). Water-quality field parameters (water temperature, dissolved-oxygen concentration and percent saturation, pH, specific conductance, turbidity, chlorophyll fluorescence, phycocyanin fluorescence, and fluorescent dissolved organic material) were measured at each sampling location from the surface to the...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Adirondack Park,
Algal concentration,
Blue Mountain Lake,
Blue-green algae,
Brant Lake,
The data set includes the daily streamflow predictions from (Long Short-Term Memory) LSTM models for 45 basins (27 basins in New England region and 18 basins in Great Basin region) in contrasting hydroclimate regions (water-limited Great Basin region and energy-limited New England region) in the United States. Also, the shapefiles of study basins and hydroclimate regions, and data to support the statistical results, figures, and tables are included.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Hydrology,
LSTM,
USGS Science Data Catalog (SDC),
Water Resources,
farming,
The Landsat-based Irrigation Dataset (LANID) uses a random-forest machine-learning model with greenness and vegetative indices, climate data, and crop masks to identify irrigated crops (Xie and others, 2021, Xie and Lark, 2021). Separate western US and eastern US methods are used to train and validate the model. Annual LANID maps for 2018-20 were created using the same techniques in Xie and others, 2021, and Xie and Lark, 2021.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Conterminous United States (CONUS),
irrigation,
landuse,
water use
Data includes fish abundance and habitat data collected at ten sites in the Sandusky River, OH. Fish were collected using two 3.67 m long hoop nets with an initial hoop diameter of 0.91 m. Nets were set perpendicular to the current, opening toward the shoreline. Nets were set for approximately 24 hours and catch rates for each set were defined as the number of fish caught in the two hoop nets per 24-hour sampling period. Fish were identified to species, measured for total length (mm), and released. Water quality was taken daily at each site at approximately the same time of day with a YSI Exo2 multiparameter sonde. Physical habitat data was recorded at the start of each trial. Vegetation coverage was characterized...
Categories: Data;
Tags: Aquatic Biology,
Great Lakes,
Sandusky River,
USGS Science Data Catalog (SDC),
biota,
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