50 datasets found
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Federal
Generalized Geology of Europe including Turkey (geo4_2l)
Department of the Interior —
This coverage includes arcs, polygons, and polygon labels that describe the generalized geologic age of surface outcrops of bedrock of Europe including Turkey... -
Federal
Data release: Process-guided deep learning predictions of lake water temperature
Department of the Interior —
Climate change has been shown to influence lake temperatures in different ways. To better understand the diversity of lake responses to climate change and give... -
Federal
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Perennial Herbaceous Fractional Component Time-Series Across Western North America from 1985-2024
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
BLM ES Administrative Unit Office Points
Department of the Interior —
This feature-dataset depicts Bureau of Land Management (BLM) office locations. The land areas for higher level administrative units (district and administrative... -
Federal
Process-guided deep learning water temperature predictions: 6 Model evaluation (test data and RMSE)
Department of the Interior —
This dataset includes evaluation data ("test" data) and performance metrics for water temperature predictions from multiple modeling frameworks. Process-Based (PB)... -
Federal
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Shrub Fractional Component Time-Series Across Western North America from 1985-2024
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) Annual Herbaceous Fractional Component Time-Series Across Western North America from 1985-2024
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) Sagebrush Fractional Component Time-Series Across Western North America from 1985-2024
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
Process-guided deep learning water temperature predictions: 5 Model prediction data
Department of the Interior —
Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin.... -
Federal
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Shrub Height Fractional Component Time-Series Across Western North America from 1985-2024
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
Data release: Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes
Department of the Interior —
Climate change and land use change have been shown to influence lake temperatures and water clarity in different ways. To better understand the diversity of lake... -
Federal
Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 3 Model configurations (lake model parameter values)
Department of the Interior —
This dataset provides model parameters used to estimate water temperature from a process-based model (Hipsey et al. 2019) using uncalibrated model configurations... -
Federal
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across Western North America from 1985-2024
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
2 Observations: 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 mean daily stream water temperature observations, retrieved from the USGS National Water Information System (NWIS) and used to... -
Federal
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Tree Fractional Component Time-Series Across Western North America from 1985-2024
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
Model drivers: A large-scale database of modeled contemporary and future water temperature data for 10,774 Michigan, Minnesota and Wisconsin Lakes
Department of the Interior —
Climate change has been shown to influence lake temperatures globally. To better understand the diversity of lake responses to climate change and give managers tools... -
Federal
Metabolism estimates for 356 U.S. rivers (2007-2017): 2a. Site coordinates
Department of the Interior —
This dataset provides site locations as shapefile points. The format is a shapefile for all sites combined (.shp, .shx, .dbf, and .prj files). This dataset is part of... -
Federal
Metabolism estimates for 356 U.S. rivers (2007-2017): 1. Site data
Department of the Interior —
This dataset provides site identifiers, details, and quality indicators. The format is a table with 1 row per site (tab-delimited file). This dataset is part of a... -
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. -
Federal
Process-guided deep learning water temperature predictions: 1 Spatial data (GIS polygons for 68 lakes)
Department of the Interior —
This dataset provides shapefile of outlines of the 68 lakes where temperature was modeled as part of this study. The format is a shapefile for all lakes combined...
50 datasets found