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Federal
1 Site Information: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins
Department of the Interior —
This data release component contains shapefiles of river basin polygons and monitoring site locations coincident with the outlets of those basins. A table of basin... -
Federal
Compilation of multi-agency water temperature observations for U.S. streams, 1894-2022
Department of the Interior —
This data release collates stream water temperature observations from across the United States from four data sources: The U.S. Geological Survey's National Water... -
Federal
National Land Cover Database (NLCD) 2016 Shrubland Fractional Components for the Western U.S. (ver. 2.0, October 2019)
Department of the Interior —
Quantifying Western U.S. shrublands as a series of fractional components with remote sensing provides a new way to understand these changing ecosystems. The USGS NLCD... -
Federal
Airborne geophysical survey: Buck Robinson Peak, Arizona
Department of the Interior —
Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. This dataset presents latitude,... -
Federal
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Sagebrush Fractional Component Time-Series Across Western North America from 1985-2023
Department of the Interior —
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using... -
Federal
Remote Sensing Shrub/Grass National Land Cover Database (NLCD) Back-in-Time (BIT) Bare Ground Products for the Western U.S., 1985 - 2018
Department of the Interior —
The need to monitor change in sagebrush steppe is urgent due to the increasing impacts of climate change, shifting fire regimes, and management practices on ecosystem... -
Federal
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Litter Fractional Component Time-Series Across the Western U.S. 1985-2021
Department of the Interior —
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using... -
Federal
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across the Western U.S. 1985-2020 - Perennial Herbaceous
Department of the Interior —
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using... -
Federal
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across Western North America from 1985-2023
Department of the Interior —
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using... -
Federal
Airborne geophysical survey: Patagonia, Arizona
Department of the Interior —
Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. This dataset presents latitude,... -
Federal
Projections of Rangeland Fractional Component Cover Across the Sagebrush Biome for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods (ver. 1.1, April 2022)
Department of the Interior —
Climate change over the past century has altered vegetation community composition and species distributions across rangelands in the western United States. The scale... -
Federal
National Assessment of Oil and Gas Project - Eastern Great Basin Province (019) Total Petroleum Systems
Department of the Interior —
The Total Petroleum System is used in the National Assessment Project and incorporates the Assessment Unit, which is the fundamental geologic unit used for the... -
Federal
Airborne geophysical survey: Silver City North, Arizona Survey Part 1 of 2
Department of the Interior —
Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. This dataset presents latitude,... -
Federal
Airborne geophysical survey: Whetstone Mountains, Arizona
Department of the Interior —
Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. This dataset presents latitude,... -
Federal
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across the Western U.S. 1985-2020 - Trends
Department of the Interior —
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using... -
Federal
Airborne geophysical survey: North End, Arizona
Department of the Interior —
Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. This dataset presents latitude,... -
Federal
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Annual Herbaceous Fractional Component Time-Series Across Western North America from 1985-2023
Department of the Interior —
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using... -
Federal
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across the Western U.S. 1985-2020 - Bare Ground
Department of the Interior —
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using... -
Federal
Airborne geophysical survey: North Arizona - New Mexico East, New Mexico Survey Part 2 of 2
Department of the Interior —
Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. This dataset presents latitude,... -
Federal
3 Model Forcings: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins
Department of the Interior —
This data release component contains model inputs including river basin attributes, weather forcing data, and simulated and observed river discharge.