AndreaBozzo/ceres-open-data-index huggingface dataset:
Coal Power Plant Reinvestment Visualization Tool

This tool, available at https://energycommunities.gov/coal-power-plant-reinvestment-visualization-tool/, serves as a public database and map for the purposes of enabling state and local economic development officials, project developers, and power plant owners to identify and pursue opportunities for plant and community reinvestment. The Coal Power Plant Reinvestment Visualization Tool focuses on coal power plants that have been closed or set-to-retire, alongside key infrastructure characteristics that are relevant for potential redevelopment reinvestment opportunities, including the opportunity to query these data based off pre-defined or user-set queries to identify opportunities for coal power facility reinvestment to support solar, wind, manufacturing, and nuclear. These Data for visualization and query include, but are not limited to:
•	Electric Transmission Lines
•	EPA Brownfield Sites (assessed with Federal funding)
•	Petroleum Terminals
•	Ports
•	Railroads
•	Others

The tool will be updated periodically to provide relevant information to enable state and local economic development officials, project developers, and power plant owners to identify and pursue opportunities for economic revitalization and community reinvestment. 

Within this application data are focused on U.S. power plants with coal generation, where at least one on-site generator utilizes or utilized coal as a fuel source, including planned retirements through 2058 (EIA, 2024).

Additional information on energy communities and revitalization opportunities can be accessed on the Interagency Working Group on Coal & Power Plant Communities & Economic Revitalization Energy Communities website (https://energycommunities.gov).


Tags: Coal, DOE, IWG, NETL, PNNL, Power Plants, Reinvestment, United States, Visualization
Carbon Ore Resources Database (CORD)

The Carbon Ore Resources Database (CORD) is a working collection of 399 data files associated with carbon ore resources in the United States. The collection includes spatial/non-spatial, filtered, processed, and secondary data files with original data acquisition efforts focused on domestic coal resources.  The current version 1.0 is on NETL ArcGIS Enterprise.

Tags: Carbon Ore, Coal, Geochemistry, Geology, Infrastructure, Ore, Samples, Supply Chain, Supply chain
Project ECO2S Seismic Interpretation Report

Report provided by the Geological Survey of Alabama after interpreting a set of 2D seismic lines acquired for the Project ECO2S CarbonSAFE Phase III project. Also included in this dataset is a series of .dat files showing the surfaces interpreted from the seismic lines.

Tags: 2D Seismic, Geologic Characterization, Seismic Acquisition
SOC Microstructural Property Estimator

This 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 – as inputs and uses them to estimate additional electrochemical performance parameters: active (i.e., connected) TPB density, all tortuosity factors, and phase pair specific interfacial areas. The electrode is assumed to be composed of two solid phases and a pore phase. The property calculations are performed using neural network regression models trained on a large bank of synthetic electrode microstructural data that NETL has generated using the program DREAM3D (that bank is also hosted on EDX: https://edx.netl.doe.gov/dataset/soc-synthetic-microstructure-bank). This means the generated parameters are based on training from actual measured properties from 3D microstructures, not estimated from geometric simplifications.

This tool was developed and is intended to replace percolation theory calculations in models that use hypothetical electrode properties. An example use case would be running SOC performance simulations across a parametric sweep of electrode designs (e.g., varying phase fractions and particle sizes) and assessing how it impacts the electrochemical performance of the SOC.
Within the parameter space of the training data (statistics of that parameter space is provided in the readme file), this model achieves sub-5% mean absolute percent errors, an order of magnitude less error than percolation theory across the same parameter space. However, be aware that this tool was developed with parametric simulations in mind, and users are encouraged to assess accuracy for their own specific use case rather than taking accuracy metrics at face value.

More info, including a usage guide, is in the included readme file.

This tool should be cited with the DOI number provided.

Tags: Electrode Microstructure, Machine Learning, Microstructure, SOC, SOEC, SOFC
SOC Microstructural Analyzer

This 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 as a solid oxide cell (SOC). It is agnostic to the exact system, so it could be repurposed to analyze any 3-phase microstructure.

This tool directly analyzes segmented voxel-based data that has been segmented into phase IDs (1,2,3). The voxels will be analyzed directly for:
 - tortuosity factors
 - triple phase boundaries
 - 2-phase interfacial areas, using a meshed isosurface
 - mean diameters of each phase, using an inscribed sphere method
 - standard deviation of the diameters of each phase, from the same inscribed sphere data
 - connectivity information

Comprehensive information is available in the readme file (within the zipped repository in Markdown language, and also available here as a rendered PDF).

Please cite this page / DOI, as well as https://doi.org/10.1111/jace.14775, for usage.

Tags: 3D microstructure, Electrode Microstructure, MIcrostructure, SOC, SOEC, SOFC
A computational Tool for Thermodynamic Properties of Aqueous Species at HTHP

This computational tool provides the standard Gibbs energy of formation for aqueous species, the dielectric constant and ionization constant of water, over a wide range of temperatures, pressures, and densities both above and below the critical point of water.

Tags: Computational Tool, Density of Water, Dielectric Constant, Elevated Temperatures and Pressures, Gibbs Energy of Formation, Ionization Constant, Subcritical, Thermodynamic Properties of Aqueous Species, supercritical carbon dioxide
CO2 Transport Planning Database

The CO2 Transport Planning Database v3.0 is a geospatial resource, containing over 70 gigabytes of data representing critical considerations for the spatial routing of pipelines and transport of CO2, from source to sink. Considerations include state-specific legislation, land use requirements, existing infrastructure, and hazard prevention areas. Built to support strategic domestic energy transport planning and development, more than 60 layers of this database have been weighted (Weight fields) according to current legislation and pipeline construction recommendations. Weighted values range from zero to one, where zero represents potentially more acceptable areas for transport based on the various considerations, and a value of one represents areas that should be avoided. This geospatial database provides a baseline for the Smart CO2 Transport Planning Tool.

Tags: Boundaries, Carbon Capture Utilization and Storage, Carbon Dioxide, Carbon Transportation, Infrastructure, Pipeline, Pipeline Routing
The Bureau of Ocean Energy Management BOEM Mapping Data

 The geographic dataarebuilt fromtheTechnical Information Management System (TIMS). TIMS consists of two separate databases: an attribute database and a spatial database.The attribute information for offshore activities is stored in theTIMSdatabase. The spatial database is a combination of the ARC/INFO and FINDER databases and contains all the coordinates and topology information for geographic features.The attribute and spatial databases are interconnected through the use of common data elements in both databases,thereby creating the spatial datasets.   The data in the mapping filesaremade up of straight-line segments.If an arc existed in the original data, it has been replaced with a series of straight lines that approximate the arc.The Gulf of Mexico OCS Region stores all its mapping data in longitude and latitude format.All coordinates are in NAD 27.   Data can be obtained in threetypes of digitalformats:    ASCII: American Standard Code for Information Interchange is plain text format where a string of 7 binary digits represents each character.    E00: An ArcInfo interchange file format used for system independent exchange of geographic information system (GIS) coverages and associated data.    DXF: Drawing Exchange File is a two-dimensional graphics file format supported by PC-based CAD products. DXF data includes no topology.  

Tags: Active Lease, Boundaries, Drilling Platforms, Federal Boundaries, GOM, Gulf of Mexico, Lease Blocks, Lease Lines, Marine, Marine Jurisdictional Boundaries, Marine Man Made Features, Pipelines, Platforms, Production Platforms, Protraction Areas, State Boundaries, gas, lease, oil, pipelines
Marcellus Shale and other Middle and Upper Devonian Organic-rich Shales in the Appalachian basin

The most comprehensive research regarding the Marcellus Shale and other Middle and Upper Devonian organic-rich shales in the Appalachian basin was published as part of the U.S. Department of Energy's Eastern Gas Shales Project (EGSP) in the late 1970s. Maps created from data collected during that project have been reproduced as color documents in PDF format and are available for download. Three cross sections across NW and SW Pennsylvania show the thickness and distribution of the Marcellus in the subsurface. The section lines are oriented N-S (E-E') and E-W (A-A' and C-C'). These maps have been digitized and are available as shapefiles for use with a geographic information system (GIS). The map data can be downloaded in both polygon and line format. The shapefiles that contain map data in line format consist of lines corresponding to either depth or thickness depending on the map source data. Polygons represent ranges of data (thicknesses or depths). It may be necessary to use both the line and polygon data to digitally reproduce the original maps. The Pennsylvania Geological Survey assumes no responsibility for the accuracy or completeness of the information in the maps.

Tags: Appalachian Basin, Devonian Shale, EGSP, Eastern Gas Shales Project, Lines, Marcellus Shale, Polygons, Thickness
Sleepy Hollow Reagan Unit 86A Well Data

Computed tomography data described in the technical report series "Computed Tomography Scanning and Geophysical Measurements of the Integrated Mid-Continent Stacked Carbon Storage Hub Sleepy Hollow Reagan Unit 86A Well" by Thomas Paronish; Mathias Pohl; Alexis Parker; Rhiannon Schmitt; Johnathan Moore; Richard Spaulding; Igor Haljasmaa; Dustin Crandall; Valarie Smith; Andrew Duguid;  and R. M. Joeckel

Tags: Autolab, CT images, CarbonSAFE, IMSCS, MSCL, Nebraska, PDP-200, Sleepy Hallow Field, UltraPerm-500, XRF
MASTER: Geological Earth Mapping Experiment (GEMx), California-Arizona, Summer 2023

This dataset includes Level 1B (L1B) and Level 2 (L2) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected during 13 flights aboard a NASA ER-2 aircraft over California, Oregon, Nevada, and Arizona, US, from 2023-04-25 to 2023-09-26. The Geological Earth Mapping Experiment (GEMx) research project used NASA's Airborne Visible/Infrared Imaging Spectrometer (AVIRIS), Hyperspectral Thermal Emission Spectrometer (HyTES), and MODIS/ASTER Airborne Simulator (MASTER) instruments to collect the measurements over the country's arid and semi-arid regions, including parts of California, Nevada, Arizona, and New Mexico, to map portions of southwest US for critical minerals. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 50-meter spatial resolution. Derived L2 data products are emissivity in five bands in thermal infrared range (8.58 to 12.13 micrometers) and land surface temperature. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. In addition, the dataset includes the flight path, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.

https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=2319

Tags: ASTER, Airborne Remote Sensing, Airborne survey, GEMx, Geological Earth Mapping Experiment, MODIS, NASA, Remote Sensing, airborne survey, geologic mapping, hyperspectral thermal Emission Spectrometer, infrared imaging spectrometer, infrared radiance, visible radiance
Critical Minerals in Ores (CMiO) Database

Critical minerals are commodities essential to modern industrial and strategic technologies and are highly vulnerable to supply chain disruption. The Critical Minerals Mapping Initiative (CMMI) is a collaboration among the U.S. Geological Survey (USGS), the Geological Survey of Canada, and Geoscience Australia that aims to deepen global understanding of where critical minerals are located. A key output of this initiative is the Critical Minerals in Ores (CMiO) database that is advancing our collective understanding of critical minerals distributions. For instance, publicly available data on the concentrations of many critical minerals are sparse because these commodities can only be produced in small, yet essential, quantities compared to the primary commodities like copper and zinc. The CMiO database helps bridge this gap by offering high-quality, multielement geochemical data from a wide variety of critical mineral-bearing deposits around the world. Importantly, it uses a novel consensus deposit environment, group, and type classification scheme developed by the agencies that allows comparisons among ore deposits from different regions. The CMiO database contains geochemical data for more than 20,000 samples from more than 100 deposit types comprising 10 deposit environments.

Tags: Critical Minerals Mapping Initiative, Geological Survey of Canada, Lithology, Mineralogy, United States Geological Survey, critical minerals, geochemistry, geology, geoscience australia, mineral deposit, ores
EDX ClaiMM

EDX ClaiMM is a centralized data & analytical platform designed to revolutionize U.S. critical minerals and materials (CMM) activities. By providing a robust digital infrastructure, ClaiMM will accelerate the combination, leveraging, and rapid utilization of vital data, advanced tools, and cutting-edge research advancements in CMM. This adaptive digital research hub connects the CMM community to essential knowledge products and offers access to interoperable datasets, databases, models, software, and tools from the National Energy Technology’s (NETL’s) Energy Data eXchange (EDX) and other authoritative sources, serving both public and private sectors.

EDX ClaiMM delivers AI-informed solutions to address fundamental knowledge gaps and fosters the innovation of new techniques for enhanced characterization and recovery of CMMs within the U.S. By leveraging cloud-hosted, scalable digital infrastructure, ClaiMM meets public–private applied energy needs. It equips the CMM community with priority digital resources that harness on-site and cloud compute capabilities, enabling big data storage, advanced processing, analytics, and visualization.

Tags: CMM, ClaiMM, Critical Materials, Critical Minerals, Critical Minerals and Materials, Rare Earth Element, Rare Earth Elements, Rare Earth Metals, critical mineral
Intermountain West Energy Sustainability & Transitions Initiative: CO2 Transport and Geologic Storage Modeling Results

These resources provide the full set of cost modeling results and methods as part of the I-WEST Roadmap Initiative that were used to compile figures as part of the "Pathways to CO2 Utilization and Storage for the Intermountain West Region" chapter. The data were generated from a series of National Energy Technology Laboratory (NETL) cost models and relate to carbon dioxide (CO2) transport costs, CO2 enhanced oil recovery (CO2-EOR) economics, and saline storage economics. These models were used to analyze various business cases given changes in technical and financial assumptions for the I-WEST region as a means to explore how these assumptions influence CO2 transport and storage costs, as well as to evaluate the effect of changing oil prices on the viability of CO2-EOR and the mass of CO2 stored via CO2-EOR. The accompanying report titled "Intermountain West Energy Sustainability & Transitions Initiative: CO2 Transport and Geologic Storage Modeling Results" provides a detailed overview on the models, assumptions, and parameters used in the modeling, as well as example results..

Tags: CO2 EOR costs, CO2 Storage Costs, CO2 transportation costs, I-WEST, Intermountain West
Supplementary Data for "Evaluation of the Economic Implications of Varied Pressure Drawdown Strategies Generated Using a Real-time, Rapid Predictive, Multi-fidelity Model for Unconventional Oil and Gas Wells" by Bello, K., Vikara, D., Sheriff, A., Viswanathan, H., Carr, T., Sweeney, M., O'Malley, D., Marquis, M., Vactor, R.T., and Cunha, L.

The 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 Basin. This research applies a techno-economic analysis approach to help identify potential ways pressure management strategies can be used to improve cumulative recovery of hydraulically fractured horizontal wells while maintaining project profitability. Gas production forecast outlook scenarios of the Marcellus Shale Energy and Environment Laboratory Laboratory's MIP-3H well were generated under varying pressure drawdowns using two approaches: 1) a novel physics-informed machine learning (PIML) workflow and 2) via traditional reservoir simulation in Computer Modeling Group’s (CMG) GEM Compositional & Unconventional Simulator. Cash flow and other economic metrics of interest were compiled on the production outlook using the U.S. Department of Energy's (DOE) National Energy Technology Laboratory (NETL) Unconventional Shale Well Economic Model (UShWEM).The sheets within this Microsoft ExcelTM workbook provide the economic metric outputs for the baseline condition and the one-at-a-time (OAT) sensitivity analysis of UShWEM's input parameters for each of the production scenarios evaluated. 


Tags: Fracture Network Model, Horizontal Well, Machine Learning, Marcellus Shale, Oil and Gas, Predictive Models, Pressure Drawdown, Production Forecast, Techno-Economic Analysis
International Offshore Geologic Carbon Storage Story Map

The International Offshore Geologic Carbon Storage Story Map provides an overview of offshore geologic carbon storage (GCS) project maturity on a global scale. 
This story map reviews the history of CO2 storage in offshore sedimentary basins, basic geologic requirements, project timelines and lessons learned through defined project stage progression, areas previously studied for potential future domestic offshore GCS development, and regulatory considerations within different global regions. 

This resource is a distillation of information collected and recorded in the Offshore Geologic Carbon Storage Inventory Version 1.0 (https://edx.netl.doe.gov/dataset/offshore-gcs-data-inventory). 

Tags: Assessment, CO2, Carbon, Carbon dioxide, Carbon storage, Characterization, Development, GCS, Geologic Carbon Storage, Geologic Storage, Geology, Global, Global Review, Injection, International, Inventory, Monitoring, Offshore, Offshore Carbon Storage, Potential, Project Progression, Project Regulation, Regulation, Reservoir, Review, Saline, Saline Aquifers, Sedimentary Basins, Sequestration, Timeline, United States, World
IDAES-PSE 1.13.0 Release

The Institute for the Design of Advanced Energy Systems (IDAES) Integrated Platform is a versatile computational environment offering extensive process systems engineering (PSE) capabilities for optimizing the design and operation of complex, interacting technologies and systems. IDAES enables users to efficiently search vast, complex design spaces to discover the lowest cost, most environmentally sustainable solutions while supporting the full process modeling lifecycle, from conceptual design to dynamic optimization and control. The extensible, open platform empowers users to create models of novel processes and rapidly develop custom analyses, workflows, and end-user applications.

Tags: IDAES, PSE, Process Systems Engineering, idaes-pse
IDAES-PSE 2.3.0 Release

The Institute for the Design of Advanced Energy Systems (IDAES) Integrated Platform is a versatile computational environment offering extensive process systems engineering (PSE) capabilities for optimizing the design and operation of complex, interacting technologies and systems. IDAES enables users to efficiently search vast, complex design spaces to discover the lowest cost, most environmentally sustainable solutions while supporting the full process modeling lifecycle, from conceptual design to dynamic optimization and control. The extensible, open platform empowers users to create models of novel processes and rapidly develop custom analyses, workflows, and end-user applications..

New Features and Models
•	New diagnostics toolboxes and examples
o	Tutorial for using the DiagnosticsToolbox
o	Methods to identify potential evaluation errors in models
o	SVDToolbox for performing singular value decomposition analysis on models to identify possible degeneracies and poor scaling
o	DegeneracyHunter for identifying irreducible degenerate sets in models
•	Model for solid-liquid separation which takes two inputs (solid and liquid streams) and produces three outlets (solids, liquid entrained with solids and pure liquid)
•	Example of temperature swing adsorption in models_extra

Deprecation Warnings
•	With the update to Pyomo 6.7.0, the plate heat exchanger model has begun failing tests on some CI platforms. If this is not addressed by the February release, this model may be removed due to failing tests. See #1294. Offers to help identify the cause and fix this issue are welcome.

Improvements and bug fixes
•	Fixed oversight which precluded using Mixer and Separator models when inherent reactions were present in property package
•	Added reporting methods to the MSContactor model
•	Minor corrections in some examples where values were being fixed outside of declared variable bounds

Tags: DiagnosticsToolbox, IDAES, PSE, Process Systems Engineering, idaes-examples, idaes-pse, idaes-ui