United States CMM Insights Dataset
Abstract
Geo-data science applications for critical mineral analysis, development acceleration, economic impact assessment, and project efficiency. Coverage: 10 years (2014-2023), 3 geographic levels (county, state, tract), 45 features Data Categories: - census: 30 features (e.g., asian population percentage, black population percentage, citizen voting age population percentage) - ejscreen: 3 features (e.g., P_DSLPM, P_PM25, P_PWDIS) - energyexpenditure: 12 features (e.g., Housing adjustment factor, Income adjustment factor, Monthly electricity cost)
- Authors:
-
- National Energy Technology Laboratory
- Publication Date:
- Research Org.:
- NETL
- Sponsoring Org.:
- USDOE Office of Fossil Energy (FE)
- Subject:
- AS; ClaiMM; Critical Minerals and Materials; DOE; Department of Energy; Energy Community; NETL; National Energy Technology Laboratory
- OSTI Identifier:
- 2589458
- DOI:
- https://doi.org/10.18141/2589458
Citation Formats
Miller, Logan, Doyle, Jessie, Hoover, Karla, White, Casey, Malay, Caleb, Cleaveland, Casey, Sharma, Maneesh, and Bauer, Jennifer. United States CMM Insights Dataset. United States: N. p., 2025.
Web. doi:10.18141/2589458.
Miller, Logan, Doyle, Jessie, Hoover, Karla, White, Casey, Malay, Caleb, Cleaveland, Casey, Sharma, Maneesh, & Bauer, Jennifer. United States CMM Insights Dataset. United States. doi:https://doi.org/10.18141/2589458
Miller, Logan, Doyle, Jessie, Hoover, Karla, White, Casey, Malay, Caleb, Cleaveland, Casey, Sharma, Maneesh, and Bauer, Jennifer. 2025.
"United States CMM Insights Dataset". United States. doi:https://doi.org/10.18141/2589458. https://www.osti.gov/servlets/purl/2589458. Pub date:Tue Sep 30 04:00:00 UTC 2025
@article{osti_2589458,
title = {United States CMM Insights Dataset},
author = {Miller, Logan and Doyle, Jessie and Hoover, Karla and White, Casey and Malay, Caleb and Cleaveland, Casey and Sharma, Maneesh and Bauer, Jennifer},
abstractNote = {Geo-data science applications for critical mineral analysis, development acceleration, economic impact assessment, and project efficiency. Coverage: 10 years (2014-2023), 3 geographic levels (county, state, tract), 45 features Data Categories: - census: 30 features (e.g., asian population percentage, black population percentage, citizen voting age population percentage) - ejscreen: 3 features (e.g., P_DSLPM, P_PM25, P_PWDIS) - energyexpenditure: 12 features (e.g., Housing adjustment factor, Income adjustment factor, Monthly electricity cost)},
doi = {10.18141/2589458},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Sep 30 04:00:00 UTC 2025},
month = {Tue Sep 30 04:00:00 UTC 2025}
}
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