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"OpenStreetMap contributors"
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AI/ML Geospatial NETLA database of geochemical compositions of aqueous species in potential geothermal resources. The NETL NEWTS team has formatted the original Argonne V2 database for Charge...
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Dataset Size: 72.389 MB
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AI/ML NETLThe Geospatial and Information Substitution and Anonymization Tool (GISA) incorporates techniques for obfuscating identifiable information from point data or documents, while...
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Dataset Size: 14.846 GB
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AI/ML NETLNRAP-Open-IAM is an open-source software product that enables quantification of containment effectiveness and leakage risk at storage sites in the context of system...
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Dataset Size: 5.504 GB
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AI/ML NETLALL data and code (i.e.Final Report, Dataset, Code, and log data etc)
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Dataset Size: 20.797 GB
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AI/ML NETLNETL has developed the Smart CO2 Transport-Route Planning Tool to help inform energy transport planning and development. The stand-alone, open-source tool applies data-driven,...
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Dataset Size: 0 bytes
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AI/ML GeospatialNational-scale geologic, geophysical, and mineral resource raster and vector data covering the United States, Canada, and Australia are provided in this data release. The data...
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Dataset Size: 0 bytes
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AI/ML Geospatial NETLEDX ClaiMM is a centralized data & analytical platform designed to revolutionize U.S. critical minerals and materials (CMM) activities. By providing a robust digital...
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Dataset Size: 0 bytes
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AI/ML Geospatial NETLA database of geochemical compositions of aqueous species in produced water reported to the PA DEP. Samples were collected between mid-2012 to early-2020. Data from...
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Dataset Size: 15.142 MB
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AI/ML Geospatial NETLThe Advanced Infrastructure Integrity Model (AIIM) is a multivariate, multi-machine learning modeling technology applied to evaluate the integrity of offshore energy...
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AI/ML Geospatial NETLThe Basin-Scale Structural Features database provides spatial datasets of faults, fractures, folds, and earthquakes compiled from public, authoritative sources (e.g., U.S....
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Dataset Size: 276.393 MB
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AI/ML NETLThis pre-trained ML model is a tool that uses basic compositional parameters for porous solid oxide cell (SOC) electrodes - the phase fractions and mean particle/pore diameters...
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Dataset Size: 4.875 MB
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AI/ML NETLThis program was designed to analyze the 3-phase microstructure of the electrodes of a solid oxide fuel cell (SOFC) or electrolysis cell (SOEC), both referred to in combination...
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Dataset Size: 9.023 MB
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AI/MLThis dataset has results and the model associated with the publication Ciulla et al., (2024). It contains a U-Net semantic segmentation model (unet_model.h5) and associated code...
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Dataset Size: 427.921 MB
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AI/ML NETLThe purpose of this tool is to estimate key parameters that may be missing in public wastewater composition datasets. The tool can be applied to develop complete treatment and...
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Dataset Size: 244.524 MB
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