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Federal
Chronic Wasting Disease distribution in the United States by state and county (ver. 3.0, June 2025)
Department of the Interior —
Chronic Wasting Disease (CWD) is a fatal, contagious, neuro-degenerative disease affecting multiple members of the Family Cervidae. First detected in 1967, the... -
Federal
Public supply water use reanalysis for the 2000-2020 period by HUC12, month, and year for the conterminous United States (ver. 2.0, August 2024)
Department of the Interior —
The U.S. Geological Survey is developing national water-use models to support water resources management in the United States. Model benefits include a nationally... -
Federal
33 high-resolution scenarios of land use and vegetation change in the Great Plains LCC region
Department of the Interior —
A new version of USGS’s FORE-SCE model was used to produce unprecedented landscape projections for four ecoregions in the Great Plains (corresponding to the area... -
Federal
U.S. Geological Survey - Gap Analysis Project Species Habitat Maps CONUS_2001 NGDA
Department of the Interior —
Gap Analysis Project (GAP) habitat maps are predictions of the spatial distribution of suitable environmental and land cover conditions within the United States for... -
Federal
Combined wildfire datasets for the United States and certain territories, 1800s-Present
Department of the Interior —
First, we would like to thank the wildland fire advisory group. Their wisdom and guidance helped us build the dataset as it currently exists. This dataset is... -
Federal
Python code used to determine average yearly and monthly tourism per 1000 residents for public-supply water service areas
Department of the Interior —
This child item describes Python code used to estimate average yearly and monthly tourism per 1000 residents within public-supply water service areas. Increases in... -
Federal
Protected Areas Database of the United States (PAD-US) 4.1 Vector Analysis and Summary Statistics
Department of the Interior —
Spatial analysis and statistical summaries of the Protected Areas Database of the United States (PAD-US) provide land managers and decision makers with a general... -
Federal
Python code used to download U.S. Census Bureau data for public-supply water service areas
Department of the Interior —
This child item describes Python code used to query census data from the TigerWeb Representational State Transfer (REST) services and the U.S. Census Bureau... -
Federal
Data and Code Release: Determination of Larval Sea Lamprey (Petromyzon marinus) Seasonal Sensitivity Differences to Lampricide Treatment
Department of the Interior —
Controlling larval sea lamprey (Petromyzon marinus) in Great Lakes tributaries with 4-nitro-3-(trifluoromethyl)phenol (TFM, a pesticide) stream treatments reduces the... -
Federal
Water Temperature Mapping of the Skykomish, Snoqualmie, and Middle Fork Snoqualmie Rivers, Washington—Longitudinal Stream Temperature Profiles, Significant Thermal Features, and Airborne Thermal Infrared and RGB Imagery Mosaics
Department of the Interior —
The Skykomish, Snoqualmie, and Middle Fork Snoqualmie River Basins have historically provided critical spawning, rearing, and core habitat for several salmonid... -
Federal
Northern Lake Michigan Gillnet Assessment 1998-2023
Department of the Interior —
Annual spring (May) and fall (late October through early November) gillnet assessment surveys were conducted by researchers at the USGS Great Lakes Science Center... -
Federal
breeding cells
Department of the Interior —
Our model is a full-annual-cycle population model {hostetler2015full} that tracks groups of bat surviving through four seasons: breeding season/summer, fall... -
Federal
Machine learning model that estimates total monthly and annual per capita public-supply water use (version 2.0)
Department of the Interior —
This child item describes a machine learning model that was developed to estimate public-supply water use by water service area (WSA) boundary and 12-digit hydrologic... -
Federal
Multi-task Deep Learning for Water Temperature and Streamflow Prediction (ver. 1.1, June 2022)
Department of the Interior —
This item contains data and code used in experiments that produced the results for Sadler et. al (2022) (see below for full reference). We ran five experiments for... -
Federal
Data-Driven Drought Prediction Project Model Outputs: Daily Streamflow and Streamflow Percentile Predictions for the Colorado River Basin Region
Department of the Interior —
This metadata record describes outputs from 12 configurations of long short-term memory (LSTM) models which were used to predict streamflow drought occurrence at 384... -
Federal
Avian Botulism qPCR data, Leelanau Peninsula, Michigan. Years 2011-2014.
Department of the Interior —
Avian botulism toxicity is a common cause of death to water and shore birds that live near or migrate through Lake Michigan. The botulism neuro-toxin type E (bontE)... -
Federal
4. Estimation of Vertical Groundwater/Surface-water Exchange Using the tempest1d Model: Data from the Mainstem Quillayute River, Summer 2021
Department of the Interior —
This dataset includes all files used to model groundwater-surface water exchange at mainstem locations on the lower Quillayute River, WA in summer 2021. Sediment... -
Federal
GIFplots Plots of spectra in GIF images
Department of the Interior —
GIFplots Files containing GIF images of spectral plots: - GIFplots_splib07a.zip contains plots of measured spectra, including * plots showing the full wavelength... -
Federal
Long-term monotonic trends in annual groundwater metrics in the United States through 2020 (ver. 3.0, September 2025)
Department of the Interior —
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... -
Federal
Hydrogeologic Aquifer Test dataset, Lower Mississipp-Gulf Water Science Center, December 2020
Department of the Interior —
Since the 1940's, hydrologists have used aquifer tests to estimate the hydrogeologic properties near test wells. Results from these tests are recorded in various...