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Federal
Predictive soil property map: Soil pH
Department of the Interior —
These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado... -
State
Executive Branch Artificial Intelligence System Inventory
State of Connecticut —
Public Act No. 23-16, Section 1, effective July 1, 2023, directs the Department of Administrative Services to conduct an annual inventory of all systems that employ... -
Federal
Training dataset for NABat Machine Learning V1.0
Department of the Interior —
Bats play crucial ecological roles and provide valuable ecosystem services, yet many populations face serious threats from various ecological disturbances. The North... -
Federal
National-Scale Geophysical, Geologic, and Mineral Resource Data and Grids for the United States, Canada, and Australia: Data in Support of the Tri-National Critical Minerals Mapping Initiative (ver 1.1, March 2025)
Department of the Interior —
National-scale geologic, geophysical, and mineral resource raster and vector data covering the United States, Canada, and Australia are provided in this data release.... -
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
Machine-learning model predictions and groundwater-quality rasters of specific conductance, total dissolved solids, and chloride in aquifers of the Mississippi Embayment
Department of the Interior —
Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict... -
Federal
Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 1 Spatial information
Department of the Interior —
This data release component contains a shapefile of monitoring site locations coincident with the outlets of the 118 river basins modeled by Rahmani et al. (2020). -
Federal
Mojave Desert Ecoregion
Department of the Interior —
This is a shapefile of the Mojave Desert, which was used as our study area boundary (MojaveEcoregion_TNS_UTM83.shp). -
Federal
Lithium observations, machine-learning predictions, and mass estimates from the Smackover Formation brines in southern Arkansas
Department of the Interior —
Global demand for lithium, the primary component of lithium-ion batteries, greatly exceeds known supplies and this imbalance is expected to increase as the world... -
Federal
Training and validation data from the AI for Critical Mineral Assessment Competition (ver. 2.0, July 2025)
Department of the Interior —
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort.... -
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
Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 6 Model evaluation
Department of the Interior —
This data release component contains evaluation metrics used to assess the predictive performance of each stream temperature model. For further description, see the... -
Federal
Data used to model and map pH and redox conditions in the Northern Atlantic Coastal Plain aquifer system, eastern USA
Department of the Interior —
Data used to model and map pH and redox conditions in groundwater in the Northern Atlantic Coastal Plain aquifer system, eastern USA, are documented in this data... -
Federal
Predictive soil property map: Clay content
Department of the Interior —
These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado... -
Federal
Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 4 Models
Department of the Interior —
This data release component contains model code and configurations for the LSTM and linear regression models used to predict stream temperature. -
Federal
Groundwater nitrate data and ascii grids of predicted nitrate and model inputs for the Central Valley aquifer, California, USA
Department of the Interior —
This public data release contains two ascii grids comprising predicted nitrate concentrations (as NO3-N, mg/L) at two depth zones associated with private and public... -
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
Correlation-derived seismic phase arrival times from matched-filter studies of Yellowstone (Wyoming) 2017, Kilauea volcano (Hawaii) 2018, and Ridgecrest (California) 2019: A dataset for developing phase-picking neural networks
Department of the Interior —
This dataset contains correlation-derived seismic phase arrival times from three different studies: 1. Maple Creek Earthquake Swarm, Yellowstone, Wyoming, June 11 to... -
Federal
Seamless high-resolution transboundary dynamic landcover map of the Sonoran and Mojave Desert ecoregion within Bird Conservation Region 33
Department of the Interior —
These data were compiled for the creation of a continuous, high-resolution transboundary land cover map of the Sonoran and Mojave Desert ecoregion within Bird... -
Federal
Predictive soil property map: Erodability
Department of the Interior —
These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado...