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A useful data for predicting phases and Youngs modulus using machine learning
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Dataset Size: 85.41 KB
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NETLThis submission offers data aligned to each of the four eligibility criteria outlined in the United States Department of Energy (DOE) 2021 Communities LEAP (Local Energy Action...
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Dataset Size: 21.871 MB
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NETLThe Bello et al. study evaluates the impact of contrasting pressure drawdown on gas productivity and the resulting economics of a well in the Marcellus Shale of the Appalachian...
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Dataset Size: 3.016 MB
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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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NETLThis data is aligned to eligibility criteria outlined in the United States Department of Energy (DOE) 2023 Communities LEAP (Local Energy Action Program). Please visit the LEAP...
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Dataset Size: 9.092 MB
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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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