• Organization: Department of Agriculture
• Updated: 2025-12-22

Sorghum is a versatile cereal crop grown the central U.S. especially in Kansas and Texas and is an important grain for feed, biofuel, and food markets. The growing demand for sorghum has increased...

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• Organization: Department of Agriculture
• Updated: 2025-12-19

The dataset contains micrographs of Hoplolaimus, Helicotylenchus, Meloidogyne, Mesocriconema, Pratylenchus, Trichodorus, and Tylenchorhynchus nematodes. The data were collected using 10×, 20×...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2025-09-08T00:00:00.000+00:00

The dataset contains two data products: sea-surface pCO2 and the air-sea CO2 flux for the Bay of Bengal region (Longitude: 76E-100E, Latitude: 5N-24N). This is climatological data, with 12 months...

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• Organization: Department of Energy
• Updated: 2022-11-07T07:37:39Z

This submission contains geotiffs, supporting shapefiles and readmes for the inputs and output models of algorithms explored in the Nevada Geothermal Machine Learning project, meant to accompany...

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• Organization: Department of the Interior
• Updated: 2024-01-29T00:00:00Z

There are 3 child zip files included in this data release. 01_Codebase.zip contains a codebase for using deep learning to filter images based on the probability of any bird occurrence. It...

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• Organization: National Aeronautics and Space Administration
• Updated: 2025-04-01

The code in the stableGP package implements Gaussian process calculations using efficient and numerically stable algorithms. Description of the algorithms is in the paper "Stable and Efficient...

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• Organization: National Institute of Standards and Technology
• Updated: 2020-09-22 00:00:00

The open dataset, software, and other files accompanying the manuscript "An Open Combinatorial Diffraction Dataset Including Consensus Human and Machine Learning Labels with Quantified Uncertainty...

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• Organization: Department of the Interior
• Updated: 2021-08-03T00:00:00Z

Remotely sensed imagery is increasingly used by emergency managers to monitor and map the impact of flood events to support preparedness, response, and critical decision making throughout the...

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• Organization: National Aeronautics and Space Administration
• Updated: 2025-04-01

This paper provides a review of three different advanced machine learning algorithms for anomaly detection in continuous data streams from a ground-test firing of a subscale Solid Rocket Motor...

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• Organization: Department of the Interior
• Updated: 2023-10-31T00:00:00Z

This dataset contains predictions of habitat suitability of reed canarygrass (Phalaris arundinacea) in Upper Mississippi River floodplain forest understories from Pool 3 to Pool 13. Predictions...

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• Organization: National Institute of Standards and Technology
• Updated: 2021-05-27 00:00:00

The dataset can be used to develop and test algorithms for communication and sensing in the 60GHz band. The dataset consists of synthetically generated indoor mm-wave channels between a MIMO...

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• Organization: Networking and Information Technology Research and Development, Executive Office of the President
• Updated: 2018-04-16

Welcome to the April 2018 issue of the NITRD Leads IT quarterly newsletter of the Networking and Information Technology Research and Development Program. "Artificial intelligence (AI) has arrived...

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• Organization: National Institute of Standards and Technology
• Updated: 2020-05-07 00:00:00

This software tool generates simulated radar signals and creates RF datasets. The datasets can be used to develop and test detection algorithms by utilizing machine learning/deep learning...

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• Organization: U.S. Environmental Protection Agency
• Updated: 2016-11-30

There are five different files for this dataset: 1. A dataset listing the reported functional uses of chemicals (FUse) 2. All 729 ToxPrint descriptors obtained from ChemoTyper for chemicals in...

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• Organization: U.S. Environmental Protection Agency
• Updated: 2016-11-30

This file contains value of the model training set confusion matrix, domain of applicability evaluation based on training set to predicted chemicals structural similarity, and 75th percentile...

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• Organization: U.S. Environmental Protection Agency
• Updated: 2016-11-30

This data set contains ToxPrint finger prints for all chemicals in FUse that had QSAR-ready SMILES strings as well as select physicochemical properties from the Estimation Program Interface Suite...

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• Organization: U.S. Environmental Protection Agency
• Updated: 2016-11-30

This dataset provides a prediction for all Tox21 chemicals with available QSUR descriptors across all 41 valid QSUR models developed with FUse. This dataset is associated with the following...

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• Organization: Department of Energy
• Updated: 2025-02-18T19:03:49Z

This report reviews the training of machine learning algorithms to laboratory triaxial ultrasonic velocity data for Utah FORGE Well 16A(78)-32. Three machine learning (ML) predictive models were...

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• Organization: National Aeronautics and Space Administration
• Updated: 2025-07-17

The Annual Mean PM2.5 Components Trace Elements (TEs) 50m Urban and 1km Non-Urban Area Grids for Contiguous U.S., 2000-2019, v1 data set contains annual predictions of trace elements...

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• Organization: National Aeronautics and Space Administration
• Updated: 2026-02-10

Title: The Impacts of Climate Variability on Primary Productivity and Carbon Distributions in the Middle Atlantic Bight and Gulf of Maine (CliVEC)Research Team:* Antonio Mannino (PI) - NASA...

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