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Updated: Oct 7, 2025

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Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
Published on: October 21, 2016
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A database and framework for carbon ore resources and associated supply chain data.
Devin Justman1,2, Michael Sabbatino1,2, Scott Montross1,2
1National Energy Technology Laboratory, 1450 Queen Ave. SW, Albany, OR 97321, USA.
Data in Brief
|January 10, 2022
Summary
The Carbon Ore Resources Database (CORD) offers 399 open-source data files on U.S. carbon ore, including coal. This database supports analytical needs for carbon ore resource utilization.
Area of Science:
- Earth Sciences
- Geology
- Data Science
Background:
- The United States possesses significant domestic coal resources.
- Data on carbon ore resources are often fragmented across various entities.
- A centralized, accessible data repository is needed for resource analysis.
Purpose of the Study:
- To compile and organize a comprehensive dataset of U.S. carbon ore resources.
- To facilitate data-driven analysis for carbon ore utilization.
- To develop an interactive platform for querying and visualizing resource data.
Main Methods:
- Collected 399 data files from 18 national, state, and university sources.
- Categorized datasets into Geochemistry, Geology, Infrastructure, and Samples.
- Developed the CORD Platform, an ArcGIS Online dashboard for data interaction.
- Analyzed geospatial datasets using record and dataset density per grid cell.
Main Results:
- Established the Carbon Ore Resources Database (CORD) with 399 diverse data files.
- Integrated spatial and non-spatial data focusing on domestic coal resources.
- Created a functional ArcGIS Online dashboard (CORD Platform) for user queries.
- Quantified data distribution through geospatial density analysis.
Conclusions:
- CORD provides a unified, accessible resource for carbon ore data.
- The CORD Platform enhances user interaction and data exploration.
- This database supports informed decision-making for carbon ore resource management and utilization.
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