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Geochemical data for rock, sediment, soil, and mineral samples, United States and territories, 1962 to 2023 Geochemical data for rock, sediment, soil, and mineral samples, United States and territories, 1962 to 2023
The data set contains geochemical data for 1,524,014 rock, sediment, soil, and mineral samples collected by the U.S. Geological Survey within US state, territory or Economic Exclusive Zone (EEZ) boundaries, and analyzed from 1962 through 2023 either in the analytical laboratories of the Geologic Discipline of the USGS or by contract with commercial analytical laboratories. These data...
Historical (1900s-1940s) and present-day (2003 – 2023) spring Chinook salmon (Oncorhynchus tshawytscha) spawning distribution in the Willamette River Basin, Oregon Historical (1900s-1940s) and present-day (2003 – 2023) spring Chinook salmon (Oncorhynchus tshawytscha) spawning distribution in the Willamette River Basin, Oregon
Spawning distribution maps for Upper Willamette River (UWR) spring Chinook salmon were created for the historical period (approximately 1910-1940), and for the present-day period (2003-2023). These maps were created as a tool to visualize generalized, reach-scale patterns of spawning distribution before and after the construction of high-head dams and other large-scale anthropogenic...
PIT tagging and detection of Chinook salmon (Oncorhynchus tshawytscha) in cold water refuges of the Klamath River PIT tagging and detection of Chinook salmon (Oncorhynchus tshawytscha) in cold water refuges of the Klamath River
We conducted a pilot study to evaluate the extent of cold water refuge use by juvenile outmigrating fall-run Chinook salmon (Oncorhynchus tshawytscha) in relation to managed water flows in the Klamath River. Juvenile fall-run Chinook salmon were captured and implanted with passive integrated transponder (PIT) tags and subsequently detected by submersible antennas that were strategically...
Model output and code for a long short-term memory model forecasting streamflow drought across the Conterminous United States by focusing on percentiles below 50 percent Model output and code for a long short-term memory model forecasting streamflow drought across the Conterminous United States by focusing on percentiles below 50 percent
Machine learning (ML) models were used to forecast streamflow drought from 1 to 13 weeks into the future at more than 3,000 streamgage locations across the conterminous United States. Long short-term memory [LSTM] neural network models were used to predict weekly streamflow percentiles with independent models for each forecast horizon. In this data release we specifically include an LSTM...
Aquaculture and irrigation water-use model (AIWUM) version 1.1 estimates and related datasets for the Mississippi Alluvial Plain, 2020–2023 Aquaculture and irrigation water-use model (AIWUM) version 1.1 estimates and related datasets for the Mississippi Alluvial Plain, 2020–2023
This data release contains monthly and annual water-use estimates from the Aquaculture and Irrigation Water-Use Model (AIWUM) version 1.1 for the Mississippi Alluvial Plain (MAP) from 2020 to 2023. Aquaculture and irrigation estimates contained in this data release are representative of groundwater withdrawal for six different categories: aquaculture, cotton, corn, rice, soybeans, and...
Estimates of plant water use needs for Tres Rios wetland and riparian corridor based on Landsat greenness and evapotranspiration time series from 2013-2024 Estimates of plant water use needs for Tres Rios wetland and riparian corridor based on Landsat greenness and evapotranspiration time series from 2013-2024
These spatial and tabular data were compiled to have a decade-long record of the water usage in the riparian corridor and the wetlands near Phoenix, Arizona called the Tres Rios area to observe the effect of riparian and wetland health as characterized by vegetation greenness and its water use or evapotranspiration. The objective of our study was to quantify evapotranspiration (in...
Aquaculture and Irrigation Water-Use Model (AIWUM) version 2.0 Updated Input and Output Datasets for the Mississippi Alluvial Plain, 2014–2023 Aquaculture and Irrigation Water-Use Model (AIWUM) version 2.0 Updated Input and Output Datasets for the Mississippi Alluvial Plain, 2014–2023
This data release contains updated monthly and annual water-use estimates from the Aquaculture and Irrigation Water-Use Model (AIWUM) version 2.0 for the Mississippi Alluvial Plain (MAP) from 2014 to 2023. AIWUM version 2.0 employs remote sensing datasets and machine learning to advance the ability to predict groundwater use in regions with scarce or limited in-situ groundwater...
Cameron Meadows Marsh Creation and Terracing (CS-66) 2024 land-water classification Cameron Meadows Marsh Creation and Terracing (CS-66) 2024 land-water classification
The Louisiana State Legislature established the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) to conserve, restore, create and enhance Louisiana's coastal wetlands. Restoration plans developed under CWPPRA require evaluating the effectiveness of each project in achieving long-term solutions to coastal wetlands loss. This data set includes mosaicked aerial photographs...
National Mine Waste Inventory National Mine Waste Inventory
This U.S. Geological Survey (USGS) data release is a collaborative geospatial database compiled by the USGS and participating State geological surveys, with support from the Earth Mapping Resources Initiative (Earth MRI) program. The database represents the first phase of cataloging above-ground mine waste features —such as tailings and waste rock piles— that are remnants of historical...
Projected future land change and ecosystem carbon stocks and fluxes for California (ver. 2.0, January 2026) Projected future land change and ecosystem carbon stocks and fluxes for California (ver. 2.0, January 2026)
This dataset consists of annual raster maps of projected future ecosystem carbon stocks and fluxes, land use and land cover (LULC) classes, and LULC transitions for California, U.S. from 2021-2065. Data are simulation model output from the Land Use and Carbon Simulator (LUCAS; Sleeter et al. 2022) run under different future climate and land management scenarios. LUCAS model simulations...
Continuous and High-Resolution Profiles of the Water Surface and Riverbed Elevation for 282 miles of the Colorado River from Lees Ferry to Pearce Ferry, AZ, 2021 - Data Continuous and High-Resolution Profiles of the Water Surface and Riverbed Elevation for 282 miles of the Colorado River from Lees Ferry to Pearce Ferry, AZ, 2021 - Data
During steady releases from Glen Canyon Dam in 2021, geomorphic data were collected for the Colorado River in Grand Canyon National Park from Lees Ferry to Pearce Ferry. A boat based survey collected position data using Global Navigation Satellite Systems and bathymetry data using a multibeam sonar system. Individual water's edge locations were measured using total stations referenced to...
Raster maps of relative risk of chronic wasting disease transmission based on environmental covariates for the South Converse Mule Deer Herd, Converse County, Wyoming Raster maps of relative risk of chronic wasting disease transmission based on environmental covariates for the South Converse Mule Deer Herd, Converse County, Wyoming
These spatial layers were created to provide estimates of relative risk of a mule deer (Odocoileus hemionus) contracting chronic wasting disease (CWD) based on environmental properties of habitat visited by the deer. We modeled relative risk of disease transmission using location data from GPS-collared mule deer in Wyoming that were CWD-tested annually, and used generalized linear models...