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This dataset presents information concerning 8- and 10-digit trade codes related to the rechargeable lithium-ion battery (LIB) supply chain for the People's Republic of China (PRC) and the European Union, and the United States as classified by Customs and Border Protection (CBP) rulings. Note that this dataset is not intended to be a complete or comprehensive list of trade codes for the LIB supply chain; rather, it presents trade codes from the PRC and the EU that more granularly classify products related to LIB supply chain in comparison to the Harmonized Tariff Schedule of the United States (HTSUS). CBP rulings are included to indicate existing classification decisions for relevant products related to the LIB...
Categories: Data;
Tags: China,
Europe,
Mineral Resources,
USGS Science Data Catalog (SDC),
United States,
These data were compiled to model the effects of flow regime and bed grain size distributions on rates of gross primary production (GPP) in the Colorado River below Glen Canyon Dam, AZ, USA. The objectives of our study were to quantify daily and weekly scale effects of an experimental flow regime on GPP in the Colorado River. The experimental flow was conducted at Glen Canyon Dam from May-August in 2018, 2019, and 2020 and contrasted steady-low flows on weekend days with business-as-usual hydropeaking flows during weekdays. This data release only contains data through 2019. These data represent daily-scale estimates of GPP, discharge, turbidity, water depth, and canyon shading for eleven reaches on the Colorado...
Seafloor character was derived from interpretations of lidar data available for the mainland coast within the study area from the California State Waters Mapping Program (Johnson and others, 2012; Johnson and others, 2013a; Johnson and others, 2013b; Johnson and others, 2013c). The number of substrate classes was reduced because rugosity could not be derived for all areas. References Cited: Johnson, S.Y., Dartnell, P., Cochrane, G.R., Golden, N.E., Phillips, E.L., Ritchie, A.C., Greene, H.G., Krigsman, L.M., Kvitek, R.G., Dieter, B.E., Endris, C.A., Seitz, G.G., Sliter, R.W., Erdey, M.E., Gutierrez, C.I., Wong, F.L., Yoklavich, M.M., Draut, A.E., Hart, P.E., and Conrad, J.E. (S.Y. Johnson and S.A. Cochran, eds.),...
This data release contains GIS data generated by USGS for use in a BOEM-funded project to compare natural rockfish nursery habitat to habitat created by manmade structures in the eastern Santa Barbara Channel. The contours were created from published data and digital elevation models (DEMs) of Carignan and others (2009) and Dartnell and others (2012). Contours were generated using the ESRI Contour tool in spatial analysit. The contour interval is 10 meters. The contours were clipped to exclude areas outside the BOEM rockfish nurseries study area. Dartnell, P., Finlayson, D.P., Ritchie, A.C., Cochrane, G.R., and Erdey, M.D., 2012, Bathymetry and acoustic backscatter-outer mainland shelf, eastern Santa Barbara Channel,...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: BOEM,
Bathymetry,
Bathymetry and Elevation,
CMGP,
Multibeam,
Background To obtain an ecosystem-level understanding of the OCS, biological and physical databases must be integrated. To date, most ecological studies are restricted in scale due tolimited funds and information. With the completion of region-wide oceanographic and geologic surveys, it is timely to link and expand biological surveys to match the spatial scale of these physical databases. Such integration will be important to all aspects of permitting, mitigation and decommissioning decisions of the OCS. The majority of marine species observed at oil platforms and natural reefs do not reside in these habitats for their entire life history. Population connectivity within and among habitats varies according to the...
These data are daily climate, water balance, and soil moisture data for 270 plots in the National Park Service (NPS) Southern Colorado Plateau Network (SCPN) Inventory & Monitoring (I&M) network. Climate data was collected from a gridded, daily climate dataset, Daymet (https://daymet.ornl.gov/). Climate, alongside field-collected soils (SoilDepthsByPlot.csv) and vegetation information, were then used to drive a point based, daily, multi soil-layer, ecosystem water-balance model, SOILWAT2 (https://github.com/DrylandEcology/SOILWAT2). SCPN plots were established to capture the range of ecosystem conditions present in this network. Plant communities of the SCPN are a vital sign for this region, enhancing habitat, stabilizing...
Categories: Data;
Tags: Arizona,
Aztec Ruins National Monument,
Bandelier National Monument,
Chaco Culture National Monument,
Colorado,
These data were compiled for use by researchers and land managers in studies of post-grazing change in Capitol Reef National Park. The data were initially used for and are associated with the McNellis et al., 2023 (see Larger Work Citation). Objective(s) of our study were to study landscape change (specifically plant cover measured through remote sensing) through time in Capitol Reef National Park. These data represent land cover and eight explanatory covariates measured through remote sensing over 21-30 years on two grazing allotments in Capitol Reef National Park, USA. These data were compiled and created for Capitol Reef National Park, Utah, USA from December 2020 to December 2022. These data were created by...
Categories: Data;
Tags: Botany,
Capitol Reef National Monument,
Climatology,
Colorado Plateau,
Ecology,
Natural selection may result in local adaptation to different environmental conditions across the range of a species. Understanding local adaptation, in turn, informs management decisions such as translocation to restore locally-extinct populations. We used a landscape genomics approach to detect genetic signatures of selection related to climatic variation among desert bighorn sheep populations across their indigenous range in the western United States. This approach allowed us to investigate broad patterns of both neutral and adaptive genetic variation across very different environments. Analyses suggested that ancestry and isolation by distance were the most significant forces driving genetic variation in desert...
The seven files included in this U.S. Geological Survey data release are data from a set of sediment cores acquired from the continental slope, offshore Los Angeles and the Palos Verdes Peninsula, adjacent to the Palos Verdes Fault. Gravity cores were collected by the USGS in 2009 (cruise ID S-I2-09-SC), and vibracores were collected with the Monterey Bay Aquarium Research Institute's remotely operated vehicle (ROV) Doc Ricketts in 2010 (cruise ID W-1-10-SC). One spreadsheet (PalosVerdesCores_Info.xlsx) contains core name, location, and length. One spreadsheet (PalosVerdesCores_MSCLdata.xlsx) contains Multi-Sensor Core Logger P-wave velocity, gamma-ray density, and magnetic susceptibility whole-core logs. One zipped...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: CMG,
CMGP,
Coastal and Marine Geology Program,
Los Angeles,
PCMSC,
The lack of geographic and thematic maps of coral reefs limits our understanding of reefs and our ability to assess change. The U.S. Geological Survey (USGS) has the capability to compile digital image mosaics that are useful for creating detailed map products. Image maps covering the shallow near-shore coastal waters have been produced for several of the main Hawaiian Islands, including Hawai‘i, Maui, Moloka‘i, and O‘ahu and are presented in JPEG2000 (.jp2) format. The digital-image mosaics were generated by first scanning historical aerial photographs. At the time, available satellite image resolutions were not acceptable and the aerial photographs used were the best option. The individually scanned digital...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: CMG,
CMGP,
Coastal and Marine Geology Program,
Diamond Head,
Hawai'i,
This data release includes chirp seismic-reflection data collected in 2014 aboard the USGS R/V Snavely in San Pablo Bay, part of northern San Francisco Bay. These data were acquired to image the shallow geologic structure, particularly that related to the Hayward and Rodgers Creek Faults. Approximately 200 km of marine seismic-reflection data were collected along primarily northeast and northwest-trending profiles spaced 1-km apart using an Edgetech 512 chirp sub-bottom profiler that was towed alongside the vessel on a sled at the sea surface. Data were acquired using a 2-12 kHz sweep with a 20 ms length fired 6 times per second. Initial processing included subsampling at twice the sample interval to make swell...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Bathymetry,
Continental Margins,
Contra Costa County,
Mare Island,
Marin County,
Underwater video was collected in March 2014 in the nearshore waters of Faga`alu Bay on the island of Tutuila, American Samoa, as part of the U.S. Geological Survey Coastal and Marine Geology Program's Pacific Coral Reefs Project. This dataset includes 2,119 still images extracted from the video footage every 10 seconds and an Environmental Systems Research Institute (ESRI) shapefile of individual still-image locations with benthic habitat interpretations for each image.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: American Samoa,
Benthic Habitat,
Biological Occurrence,
CMG,
CMGP,
These data were compiled for/to provide an example and assess methods and results of pre-fire estimation of predicted differenced normalized burn ration (dNBR) for predicting post-fire debris flow hazard classification. Objective(s) of our study were to develop predictive models for burn severity, using variables of pre-fire conditions, for two large wildfires from 2020 in Colorado, USA. These data represent pre-fire predictions of post-fire differenced normalized burn ratio (dNBR) as a proxy of burn severity and further understand pre-fire modeling of burn severity. These data were collected/created in the fire perimeters the East Troublesome Fire (10/14/2020 – 11/30/2020) and the Grizzly Creek Fire (8/10/2020...
These data were compiled for assessing how geomorphic changes measured as topographic differences from repeat surveys represent measured and modelled estimates of aeolian sediment transport and dune mobility. Objective(s) of our study were to investigate whether topographic changes can serve as a proxy for aeolian transport and sediment mobility in dunefield environments. This was accomplished by relating topographic changes to modeled and observed estimates of sediment transport and dune mobility over months to decades within a partially vegetated dunefield starved of upwind sediment supplies. We specifically tested if topographic changes measured as net and total volume changes and topographic surface roughness...
A collection of analysis-ready datasets for the U.S. Geological Survey - Idaho National Laboratory (USGS-INL) groundwater and surface-water monitoring networks, administered by the USGS-INL Project Office in cooperation with the U.S. Department of Energy. The data collected from wells and surface-water stations at the Idaho National Laboratory and surrounding areas have been used to describe the effects of waste disposal on water contained in the eastern Snake River Plain aquifer, located in the southeastern part of Idaho, and the availability of water for long-term consumptive and industrial use. The datasets include long-term monitoring records dating back to measurements from 1922. Geospatial data describing...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Butte,
Hydrology,
Idaho,
Idaho National Engineering Laboratory,
Snake River Plain basaltic-rock aquifers,
The USGS maintains an extensive monitoring network throughout the United States in order to protect the public and help manage natural resources. This network generates millions of data points each year, all of which must be evaluated and reviewed manually for quality assurance and control. Sensor malfunctions and issues can result in data losses and unexpected costs, and are typically only noticed after they occur during manual data checks. By connecting internal USGS databases to “always-on” artificial-intelligence applications, we can constantly scan data-streams for issues and predict problems before they occur. By connecting these algorithms to other cloud-hosted services, the system can automatically notify...
Categories: Project;
Tags: 2021,
All Funded Projects,
Computational Tools and Services,
Data Release,
Data and Information Assets,
Understanding and anticipating change in dynamic Earth systems is vital for societal adaptation and welfare. USGS possesses the multidisciplinary capabilities to anticipate Earth systems change, yet our work is often bound within a single discipline and/or Mission Area. The proposed work breaks new ground in moving USGS towards an interdisciplinary predictive modeling framework. We are initially leveraging three research elements that cross the Land Resources and Water Mission Areas in an attempt to “close the loop” in modeling interactions among water, land use, and climate. Using the Delaware River Basin as a proof-of-concept, we are modeling 1) historical and future landscapes (~1850 to 2100), 2) evapotranspiration...
Categories: Project;
Tags: 2020,
All Funded Projects,
Completed,
Computational Tools and Services,
Data Release,
Two dams on the Elwha River, Washington State, USA trapped over 20 million m3 of sediment, reducing downstream sediment fluxes and contributing to erosion of the river's coastal delta. The removal of the Elwha and Glines Canyon dams between 2011 and 2014 induced massive increases in river sediment supply and provided an unprecedented opportunity to examine the response of a delta system to changes in sediment supply. The U.S. Geological Survey (USGS) developed an integrated research program aimed at understanding the ecosystem responses following dam removal. The research program included repeated surveys of beach topography, nearshore bathymetry, and surface sediment grain size to quantify changes in delta morphology...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Clallam County,
Data Release,
Elwha River,
Geophysics,
Marine Geology,
In May 2021, the Grand Canyon Monitoring and Research Center (GCMRC) of the U.S. Geological Survey’s (USGS), Southwest Biological Science Center (SBSC) acquired airborne multispectral high resolution data for the Colorado River in Grand Canyon in Arizona, USA. The imagery data consist of four bands (Band 1 – red, Band 2 – green, Band 3 – blue, and Band 4 – near infrared) with a ground resolution of 20 centimeters (cm). These image data are available to the public as 16-bit GeoTIFF files, which can be read and used by most geographic information system (GIS) and image-processing software. The spatial reference of the image data are in the State Plane (SP) map projection using the central Arizona zone (FIPS 0202)...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arizona,
Bright Angel Creek,
Colorado River,
Diamond Creek,
ESRI shapefile,
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