Search results for machine learning
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30 datasets for “machine learning”
- Data.gov Catalog
Machine Learning Model: Estimates of Metal Abundance in Global Seafloor Massive Sulfide Deposits (ver. 1.1, September 2026)
U.S. Geological SurveyUpdated 19 Aug 2026
A multi-stage ensembled machine learning model was developed to estimate metal abundances in seafloor massive sulfide deposits …
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- Data.gov Catalog
Data to support Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies
U.S. Geological SurveyUpdated 4 Oct 2023
… The model archive contains scripts (run in R) to reproduce the four machine learning models (logistic regression, linear …
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- Data.gov Catalog
Labeled satellite imagery for training machine learning semantic segmentation models of coastal shorelines.
U.S. Geological SurveyUpdated 25 Mar 2025
… These data are intended only to be used as a training and validation dataset for a machine learning …
- XML
- Data.gov Catalog
Hourly GPS locations, associated habitat condition, and annotated life history state for training machine learned models of waterfowl daily activity
U.S. Geological SurveyUpdated 19 Aug 2022
These data represent an annotated training data for machine learned life history classification of the daily activity of …
- XML
- Data.gov Catalog
NYS AI Systems Inventory: Beginning September 2025
data.ny.govUpdated 30 Dec 2025
Comprehensive inventory of artificial intelligence (AI) systems used by New York State entities that directly impact the public …
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- CSV
- Data.gov Catalog
Predicting water temperature in the Delaware River Basin: 4 Model inputs
U.S. Geological SurveyUpdated 17 Aug 2021
This dataset includes model inputs including gridded weather data, a stream network distance matrix, stream reach attributes and …
- XML
- Data.gov Catalog
Executive Branch Artificial Intelligence System Inventory
data.ct.govUpdated 8 Dec 2025
… learning, communication, decision-making or action, or (B) a set of techniques, including, but not limited to, machine …
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- Data.gov Catalog
Tri-axial acceleration data from California condors (Gymnogyps californianus), California, USA
U.S. Geological SurveyUpdated 6 Sept 2024
We outfitted nine condors in a flight pen with patagial tags, each with a unique ID, and a …
- XML
- Data.gov Catalog
Machine learning model that estimates total monthly and annual per capita public-supply water use (version 2.0)
U.S. Geological SurveyUpdated 27 Aug 2024
This child item describes a machine learning model that was developed to estimate public-supply water use by …
- XML
- Data.gov Catalog
Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 2 Water temperature observations
U.S. Geological SurveyUpdated 21 Jul 2021
… These data were used as training, test, and error-estimation data for process-guided deep learning models and …
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- Data.gov Catalog
Map feature extraction challenge training and validation data
U.S. Geological SurveyUpdated 25 Jul 2025
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and …
- XML
- Data.gov Catalog
Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia - Perpetual Hazards
U.S. Geological SurveyUpdated 28 Feb 2023
… coastal hazards that act on it, (4) the machine learning output, or Coastal Change Likelihood (CCL), based on …
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- Data.gov Catalog
Daily water column temperature predictions for thousands of Midwest U.S. lakes between 1979-2022 and under future climate scenarios
U.S. Geological SurveyUpdated 13 Jun 2023
… a machine learning model (specifically an entity-aware long short-term memory or EA-LSTM model; Kratzert et …
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- Data.gov Catalog
National watershed boundary (HUC12) dataset for the conterminous United States, retrieved 10/26/2020
U.S. Geological SurveyUpdated 27 Aug 2024
… This dataset is part of a larger data release using machine learning to predict public supply water use …
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- Data.gov Catalog
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)
U.S. Geological SurveyUpdated 31 Mar 2025
… where critical mineral prospectivity may exist using advanced machine learning approaches (Kelley, 2020). The geoscience information presented in …
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- Data.gov Catalog
Digital elevation models (DEMs) of the Greater Raleigh Area, North Carolina
U.S. Geological SurveyUpdated 11 Apr 2023
… suite of geomorphic metrics for use in a machine learning model to predict streambank erosion hotspots. All files …
- XML
- Data.gov Catalog
Checkouts By Title (Physical Items)
data.seattle.govUpdated 6 Sept 2026
… There is a machine-readable data dictionary available to help you understand the collection and item codes. Access …
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- CSV
- Data.gov Catalog
Coast Train--Labeled imagery for training and evaluation of data-driven models for image segmentation
U.S. Geological SurveyUpdated 4 May 2022
… the purposes of training and evaluating machine learning (ML), deep learning, and other models for image segmentation. It …
- XML
- Data.gov Catalog
Algorithmic Tools Compliance Report
data.cityofnewyork.usUpdated 10 Apr 2026
… technology or computerized process that is derived from machine learning, artificial intelligence, predictive analytics, or other similar methods …
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- Data.gov Catalog
LANID: Landsat-based irrigation dataset for CONUS 2018-20
U.S. Geological SurveyUpdated 26 Sept 2024
… The Landsat-based Irrigation Dataset (LANID) uses a random-forest machine-learning model with greenness and vegetative indices …
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