106 datasets found
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Federal
Sentinel-1 Input Data for PSInSAR Analysis
Department of Energy —
Files used to perform the Persistent Scatterer InSAR analysis with SARPROZ. The data is sourced from ESAs Sentinel-1 project and covers Brady Hot Springs and Desert... -
Federal
2. Inputs for model archive: Identifying structural priors in a hybrid differentiable model for stream water temperature modeling
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. Three file formats... -
Federal
RivNitrateLSTM
U.S. Environmental Protection Agency —
Real-time USGS nitrate data are collected to map short-term changes in nitrate concentrations across locations in the US:... -
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
Process-guided deep learning water temperature predictions: 6c All lakes historical evaluation data
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
Meta Learning Paper Supplemental Code
National Institute of Standards and Technology —
Meta learning with LLM: supplemental code for reproducibility of computational results for MLT and MLT-plus-TM. Related research paper: "META LEARNING WITH LANGUAGE... -
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
Appendices for Geothermal Exploration Artificial Intelligence Report
Department of Energy —
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect... -
Federal
Process-guided deep learning water temperature predictions: 2 Model configurations (lake metadata and parameter values)
Department of the Interior —
This dataset provides model specifications used to estimate water temperature from a process-based model (Hipsey et al. 2019). The format is a single JSON file... -
Federal
Predicting water temperature in the Delaware River Basin: 2 Water temperature and flow observations
Department of the Interior —
Observations related to water and thermal budgets in the Delaware River Basin. Data from reservoirs in the basin include reservoir characteristics (e.g., bathymetry),... -
Federal
A deep learning model and associated data to support understanding and simulation of salinity dynamics in Delaware Bay
Department of the Interior —
Salinity dynamics in the Delaware Bay estuary are a critical water quality concern as elevated salinity can damage infrastructure and threaten drinking water... -
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... -
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
Utah FORGE 2-2439v2: Reports on Stress Prediction and Modeling for Well 16B(78)-32 - May 2025
Department of Energy —
These two reports from the University of Pittsburgh document related efforts under Utah FORGE Project 2-2439v2 to estimate in-situ stresses in well 16B(78)-32 using... -
Federal
Utah FORGE 3-2535: Preliminary Report on Development of a Reservoir Seismic Velocity Model
Department of Energy —
This report describes the development of a preliminary 3D seismic velocity model at the Utah FORGE site and first results from estimating seismic resolution in the... -
Federal
Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 5 Model predictions
Department of the Interior —
This data release component contains water temperature predictions in 118 river catchments across the U.S. Predictions are from the four models described by Rahmani... -
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.
106 datasets found