AndreaBozzo/ceres-open-data-index huggingface dataset:
Coal-fired power plants and preterm birth in North Carolina (2003-2015)

This provides an archive of the US EPA AMPD data used for exposure assignment as well as code written for analyses related to the peer-reviewed published manuscript:
Wilkie, Adrien A; Richardson, David B; Luben, Thomas J; Serre, Marc L; Woods, Courtney G; Daniels, Julie L. Sulfur dioxide reduction at coal-fired power plants in North Carolina and associations with preterm birth among surrounding residents. Environmental Epidemiology 7(2):p e241, April 2023. | DOI: 10.1097/EE9.0000000000000241 

Exposure data is publicly available from the United States (US) Environmental Protection Agency (EPA) Air Markets Program Data (AMPD), which has been updated to the Clean Air Markets Program Data (CAMPD) available at https://campd.epa.gov/. 

Births data has identifiable information so is not available unless formally requested from Birth Defects Monitoring Program within the State Center for Health Statistics of the North Carolina Department of Health and Human Services. Portions of this dataset are inaccessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. They can be accessed through the following means: These data can be requested from the North Carolina State Center for Vital Statistics, Birth Defects Monitoring Program by experienced researchers with an approved IRB.



Input data for unit and facility level data for coal-fired power plants in North Carolina from 2002-2015 were downloaded from US EPA AMPD (see attached data files). After data files were downloaded, this publicly available database/dashboard was updated to US EPA CAMPD (Clean Air Markets Program Data), which is also publicly available for download at https://campd.epa.gov/. Format: We received birth certificate records linked with birth defects monitoring program data from the NC State Center for Vital Statistics for all births in North Carolina between 2003 and 2015.  These data include identifying information, including birth date and residential address, which was used to assign exposure to polluted sites. 

This dataset is associated with the following publication:
Wilkie, A., D. Richardson, T. Luben, M. Serre, C. Woods, and J. Daniels. Sulfur dioxide reduction at coal-fired power plants in North Carolina and associations with preterm birth among surrounding residents.   Environmental Epidemiology. Wolters Kluwer, Alphen aan den Rijn,  NETHERLANDS, 7(2): e241, (2023).

Tags: air-quality, pregnancy, preterm-birth, sulfur-dioxide
Organization: U.S. Environmental Protection Agency
Eelgrass Beds 2002 Points

Eelgrass Beds 2002 Set:

Field Verification of Eelgrass beds, located in the Long Island Sound, Eastern shore of Connecticut from Clinton Harbor to the Rhode Island State border, Fishers Island NYS and Eastern portion of the Northshore of Long Island NYS.

Interpretation and identification of Eelgrass beds located in the Long Island Sound Eastern Connecticut shoreline, Fishers Island NYS and the Northshore of Long Island NYS. Generated from 1:20,000 True Color Aerial Photography, 6/18/02.

Tags: 2002, beds, bioscience, coast, coastal, coastline, connecticut, ct, ctdeep, deep, eelgrass, eelgrass-beds, sav
Organization: State of Connecticut
Fema/CRSI Risk Index

Comparison of FEMA and CRSI Risk assessment indices and how to convert from one to the other. Portions of this dataset are inaccessible because: Part of FEMA and not EPA. They can be accessed through the following means: https://www.fema.gov/flood-maps/products-tools/national-risk-index. Format: FEMA RISK DATABASE. 

This dataset is associated with the following publications:
Williams, A., K. Summers, and L. Harwell. Using Existing Indicators to Bridge the Exposure Data Gap: A Novel Natural Hazard Assessment.   Sustainability. MDPI, Basel,  SWITZERLAND, 16(23): 10778, (2024).
Summers, J., A. Lamper, C. Mcmillion, and L. Harwell. Observed Changes in the Frequency, Intensity, and Spatial Patterns of Nine Natural Hazards in the United States from 2000 to 2019.   Sustainability. MDPI, Basel,  SWITZERLAND, 14(7): 4158, (2022).

Tags: risk-natural-hazards-communities-fema-crsi
Organization: U.S. Environmental Protection Agency
Data and code for "Wildland fire smoke adds to disproportionate PM2.5 exposure in the United States"

Analytical dataset and code used to develop the tables and figures in the manuscript entitled "Wildland fire smoke adds to disproportionate PM2.5 exposure in the United States". 

This dataset is associated with the following publication:
Rice, R.B., J.D. Sacks, K.R. Baker, S.D. LeDuc, and J.J. West. Wildland Fire Smoke Adds to Disproportionate PM2.5 Exposure in the United States.   ACS ES&T Air. American Chemical Society, Washington, DC, USA, 2(2): 215-225, (2025).

Tags: air-pollution, climate-change, environmental-justice, wildland-fire
Organization: U.S. Environmental Protection Agency
Transcriptomic data (GSE199233) and CEBs data (from Blake et al. 2020) for maternal and fetal endpoints following gestational exposure to PFOA or GenX

Maternal and fetal liver gene expression and pathway changes following exposure to perfluorooctanoic acid (PFOA) or hexafluoropropylene oxide-dimer acid (HFPO-DA) during gestation. 

This dataset is associated with the following publication:
Blake, B., C. Miller, H. Nguyen, V. Chappell, T. Phan, D. Phadke, M. Balik-Meisner, D. Mav, R. Shah, and S. Fenton. Transcriptional pathways linked to fetal and maternal hepatic dysfunction caused by gestational exposure to perfluorooctanoic acid (PFOA) or hexafluoropropylene oxide-dimer acid (HFPO-DA or GenX) in CD-1 mice.   ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY. Elsevier Science Ltd, New York, NY, USA, 248: 114314, (2022).

Tags: adverse-outcome-pathways-aops, childrens-environmental-health, childrens-health, drinking-water-contaminants, pfas
Organization: U.S. Environmental Protection Agency
SO2 and PTB in NC Birth Cohort

We assembled a retrospective, administrative cohort of singleton births in North Carolina from 2003-2015. We used US EPA EQUATES data to assign long-term SO2 gestational exposures to eligible births for the entire pregnancy and by trimester. We used multivariable generalized linear regression to estimate risk differences (RD (95%CI)) per 1-ppb increase in SO2, adjusted for gestational parent education, Medicaid status, marital status, and season of conception. Multi-pollutant models were additionally adjusted for other criteria air co-pollutants  (O3, PM2.5, NO2). This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The North Carolina Birth Cohort data are not publicly available as it contains personal identifiable information. Data may be requested through the NCDHHS, Division of Public Health with proper approvals. 

Data from EPA's CMAQ EQUATES model are publicly available. Format: Birth certificate data from the State Center for Health Statistics of the NC Department of Health and Human Services linked with data from the Birth Defects Monitoring Program (NC BDMP) to create a birth cohort of all infants born in NC between 2003-2015. The NC BDMP is an active surveillance system that follows NC births to obtain birth defect diagnoses up to 1 year after the date of birth as well as identify infant deaths during the first year of life and include relevant information from the death certificate. 

EPA's publicly available CMAQ EQUATES model provided data on predicted SO2 concentrations over critical windows of gestation.  The model predicts daily 1-hour maximum SO2 concentrations for 12 km x 12 km grid cells across the study area. 

This dataset is associated with the following publication:
Wilkie, A., T. Luben, K. Rappazzo, K. Foley, C. Woods, M. Serre, D. Richardson, and J. Daniels. Long-term ambient sulfur dioxide exposure during gestation and preterm birth in North Carolina, 2003-2015.   ATMOSPHERIC ENVIRONMENT. Elsevier B.V., Amsterdam,  NETHERLANDS, 333(September 15): 120669, (2024).

Tags: air-pollution, childrens-environmental-health, coal-fired-power-plant, preterm-birth, sulfur-dioxide
Organization: U.S. Environmental Protection Agency
Sup3rWind Data (CONUS)

This data contains paired European Centre for Medium-Range Weather Forecasts Reanalysis version 5 (ERA5) and the Wind Integration National Dataset Toolkit (WTK) images for 2007 and 2010 over two regions in the US, with domain sizes ~800x800 (latitudes from 25.89 to 41.58, and longitudes from -97.25 to -77.85) and ~600x1600 (latitudes from 32 to 46.68, and longitudes from -126.81 to -85.35), respectively. This is created using tools from the NREL-rex and NREL-sup3r packages (both linked as resources below).  A Lambert projection is used for WTK. The data includes two variables: the u and v components of the wind velocity at 10m from the surface. 

The training and validation splits consist of ERA5 at 30-km and WTK at 6-km spatial resolution from the year 2007. This 6-km WTK dataset is created by coarsening the WTK grid from its original 2-km resolution to 6-km resolution. The 30-km ERA5 is realigned, i.e. regrided to the 6-km WTK coarsened grid using inverse distance weighted interpolation. The year 2010 is used for testing, including two sets of test data with (1) ERA5 at 30-km and WTK at 6-km spatial resolution and (2) ERA5 at 30-km and WTK at 2-km spatial resolution. All of them have a temporal resolution of 1-hour. This data allows training machine learning models to downscale from low-resolution (LR) ERA5 to high-resolution (HR) WTK with an upsampling factor (the ratio of the size of the HR grid to the LR grid) of 5x and testing it on the same 5x factor as well as a higher upsampling factor of 15x. Please refer to the "Project Preprint" resource linked below for more details on the dataset and experiments. The work detailed in the "Sup3rWind Preprint" resource below also performs ERA5 to WTK downscaling.

Tags: climate, computational-science, conus, data, dataset, deep-learning, downscaling, energy, machine-learning, model, neural-operators, processed-data, sup3rwind, super-resolution, united-states, weather, wind, windspeed, wtk
Organization: Department of Energy
Bias Corrected NOAA HRRR Wind Resource Data for Grid Integration Applications

To address the need for regularly updated wind resource data, NREL has processed the High-Resolution Rapid Refresh (HRRR) outputs for use in grid integration modeling. The HRRR is an hourly-updated operational forecast product produced by the National Oceanic and Atmospheric Administration (NOAA) (Dowell et al., 2022).

Several barriers have prevented the HRRR's widespread proliferation in the wind energy industry: missing timesteps (prior to 2019), challenging file format for wind energy analysis, limited vertical height resolution, and negative bias versus legacy WIND Toolkit data (2007-2013). NREL has applied re-gridding, interpolation, and bias-correction to the native HRRR data to overcome these limitations. This results in the now-publicly-available bias corrected and interpolated HRRR (BC-HRRR) dataset for weather years 2015 to 2023. 

Bias correction is necessary for wind resource consistency across weather years to be used simultaneously in planning-focused grid integration studies alongside the original WIND Toolkit data. We show that quantile mapping with the WIND Toolkit as a historical baseline is an effective method for bias correcting the interpolated HRRR data: the BC-HRRR has reduced mean bias versus comparable gridded wind resource datasets (+0.12 m/s versus Vortex) and has very low mean bias versus ground measurement stations (+0.01 m/s) (Buster et al., 2024).

BC-HRRR's consistency with the legacy WIND Toolkit allows NREL to extend grid integration analysis to 15+ weather years of wind data with low-overhead extensibility to future years as they are made available by NOAA. As with historical datasets like the WIND Toolkit, BC-HRRR is intended for use in grid integration modeling (e.g., capacity expansion, production cost, and resource adequacy modeling) both independently and alongside the legacy WIND Toolkit.

Tags: bchrrr, data, energy, hrrr, meteorology, noaa, operational-forecast, power, spatiotemporal, weather, weather-years, wind, wind-power, wind-resource, wind-toolkit
Organization: Department of Energy
University of Illinois Campus Deep Direct-Use Feasibility Study - Regional Geology

Links to papers and reports describing the structure and character of the Illinois Basin geology.
Included are descriptions of the two reservoirs that are being modeled for the DDU feasibility project at University of Illinois, the St. Peter and Mt. Simon Sandstones.

Tags: aquifer-hydrogeology, carbon-dioxide, co2, ddu, deep-direct-use, energy, geology, geophysics, geothermal, gravity-anomlay, illinois-basin, isostatic-gravity, magnetic-anomaly, magnetics, mahomet-aquifer, mt-simon-sandstone, ozark-dome, sequestration, st-peter-sandstone, university-of-illinois
Organization: Department of Energy
University of Illinois Campus Deep Direct-Use Feasibility Study - Geological Characterization of the Mt. Simon Sandstone

These studies undertook detailed analyses of the Mt. Simon Sandstone in the Illinois Basin for geological storage and sequestration, and brine extraction.

Tags: carbon-dioxide, champaign-county, co2, ddu, decatur, deep-direct-use, deposition, diagenesis, energy, geology, geothermal, illinois-basin, mt-simon-sandstone, plume, reservoir-characterization, reservoir-modeling, sequestration, university-of-illinois
Organization: Department of Energy
University of Illinois Campus Deep Direct-Use Feasibility Study - Subsurface Temperature Profile

High resolution fiber-optic distributed temperature sensing logs from the Illinois Basin Decatur Project (IBDP) in Decatur, IL were used to model the thermal profile in the Illinois Basin.

Tags: ddu, deep-direct-use, distributed-temperature-sensing, dts, energy, geothermal, illinois-basin, temperature-gradient, temperature-profile, university-of-illinois
Organization: Department of Energy
University of Illinois Campus Deep Direct-Use Feasibility Study - Porosity and Permeability of Rock Formations

Porosity and permeability data from published and unpublished sources for the St. Peter and Mt. Simon Sandstones in the Illinois Basin.

Tags: ddu, deep-direct-use, energy, geothermal, illinois-basin, mt-simon-sandstone, oil-and-gas-well, permeability, porosity, st-peter-sandstone, university-of-illinois
Organization: Department of Energy
EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog Using Transfer-Learning Aided Double-Difference Tomography

This package contains a 3D Seismic velocity model and an updated microseismic catalog associated with a proceedings paper (Chai et al., 2020) published in the 45th Workshop on Geothermal Reservoir Engineering. The 3D_seismic_velocity_model text file contains x (m), y(m), z(m), P-wave velocity (km/s), P-wave velocity quality indicator (1 for well-constrained; 0 for poorly constrained), S-wave velocity (km/s), and S-wave velocity quality indicator (1 for well-constrained; 0 for poorly constrained). The Updated_MEQ_catalog text file contains event origin time, x(m), y(m), z(m), error in x (m), error in y (m), error in z (m), and RMS misfit (millisecond). The 3D_seismic_P-wave_velocity_model animation file shows slices of the 3D P-wave velocity model. The 3D_seismic_S-wave_velocity_model animation file shows slices of the 3D S-wave velocity model. The Interactive_MEQ_locations API file is an interactive visualization of the updated microseismic event locations. The visualization allows users to view the event locations by dragging, rotating, and zooming in. 

References:
Chai, C., Maceira, M., Santos-Villalobos, H. J., Venkatakrishnan, S. V., Schoenball, M., and EGS Collab Team, 2020, Automatic Seismic Phase Picking Using Deep Learning for the EGS Collab Project, in PROCEEDINGS, 45th Workshop on Geothermal Reservoir Engineering, edited, Stanford University, Stanford, California, 45, 1266-1276.

Tags: 3d, 3d-seismic-structure, catalog, deep-learning, double-difference-tomography, egs-collab, energy, geophysics, geospatial-data, geothermal, interactive, interactive-visualization, machine-learning, meq, microseismic-catalog, microseismicity, model, modeling, p-wave, processed-data, s-wave, seismic, seismic-tomography, surf, transfer-learning, velocity
Organization: Department of Energy
Altona Field Lab Inverse Model WRR 2020

Includes data for measured inert tracer breakthrough curves first reported in Hawkins (2020) (Water Resources Research). In addition, this submission includes the production well temperature measurements first reported in Hawkins et al. (2017a) (Water Resources Research, volume 53, pp. 1210-1230). The data included requires MATLAB to view.

Tags: altona-field-lab, altona-field-laboratory, bedrock, borehole, breakthrough-curve, c-dots, displacement, distributed-acoustic-sensing, distributed-hydraulic-sensing, energy, fractured, geology, geothermal, inert-tracer, injection-test, matlab, nanoparticles, raw-data, temperature, tracer
Organization: Department of Energy
EGS Collab Experiment 1: Common Discrete Fracture Network

This package includes data and models that support hydraulic fracture stimulation and fluid circulation experiments in the Sanford Underground Research Facility (SURF). A paper by Schwering et al. (2020) describes the deterministic basis for developing a "common" discrete fracture network (CDFN) model of significant natural fractures in EGS Collab Testbed 1 on the 4850-Level of SURF. The ReadMe for this model shows drift, wells, scanlines, fracture data, interpreted fractures, and geophysical visualizations. There is also a summary of the data that was used in this experiment and includes results from reviewing core, televiewer (TV) logs, core-TV depth/feature registration, and from mapping weeps in the 4850-Level drift. The CDFN is intended to be a baseline model of the pre-stimulated testbed (though some observations from stimulation helped inform the model).

Tags: borehole, core, data, dfn, discrete-fracture-network, drilling, egs, egs-collab, electrical-resistivity, energy, enhanced-geothermal-system, experiment, flow, fluid, fluid-circulation, fracture, fracturing, geophysics, geothermal, hydraulic, injection-test, model, network, sandia-national-laboratories, sanford-underground-research-facility, stimulation, surf, system, tracer, weep, well
Organization: Department of Energy
EGS Collab Experiment 1: DNA tracer data on transport through porous media

This submission contains DNA tracer data that supports the analysis and conclusions of the publication, "DNA tracer transport through porous media -The effect of DNA length and adsorption." https://doi.org/10.1029/2020WR028382.  This experiment used DNA as an artificial reservoir tracer. Groundwater tracing is an effective way to identify fluid flow pathways and estimate hydrogeologic properties, which are important premises for building reliable hydrological models for transport predictions or contamination mitigations. The objective of this study was to understand the effect of DNA length (i.e., number of base pairs for dsDNA) and adsorption on DNA transport.

Tags: adsorption, artificial-reservoir-tracer, artificial-tracer, column-transport, data, dna, experiment, groundwater, groundwater-tracing, hydrogeology, hydrology, lab, lab-data, laboratory, multi-well-tracer-test, raw-data, reservoir-tracer, tracer
Organization: Department of Energy
REopt Lite Geothermal Heat Pump Design Requirements

This document describes the design requirements for the geothermal heat pump (GHP) module being added to the existing REopt Lite web tool. This document describes the purpose, users, and functional requirements to which the modified web tool shall conform. This document will be revised, as required, throughout the development phase with consensus between the Department of Energy (DOE) Geothermal Technologies Office (GTO) and NREL.

The GHP module will expand existing REopt Lite capabilities to include techno-economic optimization of GHP systems, either stand alone, or integrated with the other existing technology types, namely solar photovoltaics (PV), wind power, battery energy storage, thermal energy storage, combined hear and power (CHP), and absorption chiller.

Included in this submission are links to the REopt Lite web tool and open-source Git-Hub page. The REopt Lite tool can also be accessed directly via the NREL Developer Network. A link is also provided for the REopt report that overviews the module's capabilities.

Tags: economics, energy, geothermal, geothermal-heat-pump, ghp, model, module, reopt, reopt-lite, techno-economic, tool, web-interface, web-tool
Organization: Department of Energy
Project Hotspot - Petrology, Geochemistry and Stratigraphy of the Kimama core hole, Snake River Plain, Idaho

This submission contains links to two open source published papers on the Kimama core hole, Project Hotspot.

"Volcanic stratigraphy and age model of the Kimama deep borehole (Project Hotspot)" - Basalts erupted in the Snake River Plain of central Idaho and sampled in the Kimama drill core link eruptive processes to the construction of mafic intrusions over 5.5 Ma.

"Evidence for cyclical fractional crystallization, recharge, and assimilation in basalts of the Kimama drill core, central Snake River Plain, Idaho: 5.5-million-years of petrogenesis in a mid-crustal sill complex" - Project Hotspot recovered almost 2 km of continuous drill core from the Kimama borehole, located in central Idaho on the axial volcanic zone. The Kimama drill core represents the most complete record of mafic volcanism along the Yellowstone-Snake River Plain hotspot track.

Tags: basalt, borehole-geophysics, energy, geochemistry, geothermal, idaho, kimama, processed-data, slimhole-drilling, snake-river-plain
Organization: Department of Energy
Utah FORGE: 2024 Stimulations Microseismic Event Catalog from Seismic Surface Network

This archive provides a a link to a microseismic event catalog of the 2024 stimulations at Utah FORGE.  The catalog was derived from data collected with the surface monitoring network consisting of 5 permanent seismic stations deployed by the University of Utah Seismograph Stations and a temporary deployment of 144 nodal geophones.  The local coordinate system is relative to well 16A(78)-32 (lat=38.50402147, lon=-112.8963897, elev=1650m NAD 83). The magnitudes in this catalog were calibrated based on the local magnitude provided by the University of Utah Seismograph Stations and are not authoritative. The catalog and its compilation are described in Niemz et al. (2024), which is linked below.

Tags: 2024-stimulation, catalog, data-catalog, egs, energy, event-catalog, geophysics, geothermal, hydraulic-fracturing, magnitude-calibration, microseismic-event-catalog, processed-data, research-article, reservoir-engineering, seismic, seismic-data, seismicity, seismograph-stations, stimulation, stimulation-seismic-data, surface-monitoring-network, utah-forge, well-16b78-32-stimulation
Organization: Department of Energy