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Federal
Image dataset of plant-parasitic nematodes associated with cool-season turfgrass for machine learning and deep learning classification algorithms
Department of Agriculture —
The dataset contains micrographs of Hoplolaimus, Helicotylenchus, Meloidogyne, Mesocriconema, Pratylenchus, Trichodorus, and Tylenchorhynchus nematodes. The data were... -
Federal
Building locations identified before and after the Camp, Tubbs, and Woolsey wildfires
Department of the Interior —
Wildland-urban interface (WUI) maps identify areas with wildfire risk, but they are often outdated due to the lack of building data. Convolutional neural networks... -
Federal
Training dataset and results for geothermal exploration artificial intelligence, applied to Brady Hot Springs and Desert Peak
Department of Energy —
The submission includes the labeled datasets, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model: -... -
Federal
Dataset for Establishing a Reference Focal Plane Using Machine Learning and Beads for Brightfield Imaging
Department of Commerce —
This dataset consists of sets of images corresponding to the data sets 1-8 described in Table 1 in the manuscript "Establishing a Reference Focal Plane Using Machine... -
Federal
Dataset for Establishing a Reference Focal Plane Using Machine Learning and Beads for Brightfield Imaging
National Institute of Standards and Technology —
This dataset consists of sets of images corresponding to the data sets 1-8 described in Table 1 in the manuscript "Establishing a Reference Focal Plane Using Machine...