Found 7 datasets matching filters.
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Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort. To address this limitation,...
Search relevance: 1.00 | Views last month: 3 | Published on: 2026-03-03 -
This dataset consists of the synthetic electron backscatter diffraction (EBSD) maps generated for the paper, titled "Hybrid Algorithm for Filling in Missing Data in Electron Backscatter...
Search relevance: 1.00 | Views last month: 3 | Published on: 2025-08-02 -
These data were compiled for the use of training natural feature machine learning (GeoAI) detection and delineation. The natural feature classes include the Geographic Names Information System...
Search relevance: 1.00 | Views last month: 1 | Published on: 2026-03-03 -
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort. To address this limitation,...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
This data set provides the raw images and annotations from a postharvest berry imaging platform that was used to train an instance segmentation model. Downstream image processing of segmented...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-03-13 -
Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-03-23 -
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort. To address this limitation,...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-03-03
