AndreaBozzo/ceres-open-data-index huggingface dataset:
Annual 2016 CMAQ version 5.2.1 model simulation applied for a domain covering the CONUS using 12 km sized horizontal grid cells.

The entire year of 2016 is modeled with CMAQ version 5.2.1 (doi:10.5281/zenodo.1212601). The chosen simulation is evaluated extensively for air quality and meteorology performance. CMAQ is applied for a domain covering the CONUS using 12 km sized horizontal grid cells. The vertical atmosphere is resolved with 35 layers extending from the surface to the tropopause with finer resolution in the planetary boundary layer to better capture diurnal variation in mixing height. The Carbon Bond 6 revision 3 gas phase chemical mechanism, ISORROPIA II inorganic aerosol thermodynamics, aqueous phase cloud chemistry, and wet and dry depositional processes are included in the simulation. Primary organic aerosol is treated as non-volatile. SOA formation is described by semi-volatile partitioning of lumped gas-phase groups that include benzene, toluene, xylenes, naphthalene, monoterpenes, isoprene, and sesquiterpenes and particle-phase oligomerization. AqSOA is formed from glyoxal, glyoxal analogues (methylglyoxal and glycolaldehyde), and isoprene epoxydiols. Biogenic emissions are estimated using the Biogenic Emission Inventory System (BEIS) version 3.6.1 Anthropogenic emissions are based on the 2016 emissions modeling platform developed by the U.S. EPA. Lateral boundary inflow is extracted from a coarser scale model simulation that covered the northern hemisphere. Meteorological inputs from the Weather Research and Forecasting (WRF) model version 3.8 are used to develop biogenic emissions and drive atmospheric dynamics using the same domain and projection specifications as the CMAQ model simulation. This dataset is not publicly accessible because: This data has been previously made available to the public as part of a Federal rulemaking. It can be accessed through the following means: Docket EPA-HQ-OAR-2022-0829 “Modeling Input Files for the Air Quality and Benefits Analysis for the Light and Medium Duty Vehicle (LMDV) Multipollutant Final Rule (FRM)”. Format: The CMAQ model output files are netCDF format and include header metadata information describing all variables and variable units on the file. 

This dataset is associated with the following publication:
Smith, E., K. Baker, M. El-Sayed, C. Hennigan, S. Rosanka, and A. Carlton. Gas-Phase Water-Soluble Organic Carbon: CMAQ Model Evaluation in Baltimore County.   ACS Earth and Space Chemistry. American Chemical Society, Washington, DC, USA, 9(6): 1501-1509, (2025).

Tags: air-quality, cmaq, mist-chambers, ovocs, water-soluble-organic-gases
Organization: U.S. Environmental Protection Agency
Medical Expenditure Panel Survey (MEPS) Household Component Data Tools

The Medical Expenditure Panel Survey (MEPS) Household Component collects data on all members of sample households from selected communities across the United States. With the MEPS-HC Data Tools, users can explore trends and cross-sectional bar charts for nationally representative estimates of household medical utilization and expenditures, demographic and socioeconomic characteristics, health insurance coverage, accessibility and quality of care, treated medical conditions, and prescribed medicine purchases.

Tags: agency-for-healthcare-research-and-quality, agency-for-healthcare-research-and-quality-department-of-health-human-services, ahrq, expenditure, expenses, healthcare, household, medical-expenditure, meps
Organization: U.S. Department of Health & Human Services
2015 Plan Selections by ZIP Code in the Health Insurance Marketplace

<p>The dataset here provides the total number of Qualified Health Plan selections by ZIP Code for 37 states for the second Health Insurance Marketplace open enrollment period (November 15, 2014 – February 15, 2015, including additional special enrollment period activity reported through February 22, 2015).</p>

Tags: administrative, marketplace-enrollment-zip-code-plan-selections, population-statistics
Organization: U.S. Department of Health & Human Services
EPA Region 6 TEAP Geodatabase

The Texas Ecological Assessment Protocol (TEAP) is a screening level assessment tool created by a working group of the Texas Environmental Resource Stewards (TERS). The TEAP divides nineteen individual measures into three main layers: diversity, rarity, and sustainability. This feature class represents the composite of these three layers. The results from the diversity, rarity, and sustainability layers are summed to create the composite grid with scores potentially ranging from 3 to 300. The higher scores represent areas that may be of a higher ecological importance.TERS was established in July 2002 to seek greater Federal and State interagency collaboration on identifying and supporting joint priorities, particularly regarding transportation issues. Leaders from participating agencies (see Supplemental Information) jointly identified common interests and target activities for collaborative ecosystem management, thereby benefitting each agency. Common interests and uses included identification of highest priority natural resources areas (wetland, aquatic, terrestrial) for avoidance, mitigation, or potential compensation or restoration; "streamlining" of regulatory processes; early assistance with National Environmental Policy Act (NEPA) planning; and analysis of cumulative impacts. TERS participants also identified uses for the TERS ecological assessment within each agency's mission. The vision, as developed by the TERS executives, included the following actions: Improve mutual understanding; Use collective knowledge to support decisions-making; and Strive for synergism. The TERS approach to achieving this vision was to use an ecosystem approach to organize strategies that achieve effective and measurable environmental results, and jointly communicate the results to the public. The initial goals of TERS were to identify high priority ecological areas, potential mitigation areas, and streamline the regulatory processes. The TEAP is part of the first goal: the ecological assessment and identification of priority ecological resources in the state of Texas. Please refer to the 2005 report ( http://nepis.epa.gov/Exe/ZyPURL.cgi?Dockey=P100BLAF.txt) for more details on TERS and the TEAP.

Tags: 020:070, arkansas, conservation, ecology, ecosystem, environment, impact, indicator, land, louisiana, management, modeling, natural resources, new mexico, oklahoma, texas
Organization: U.S. Environmental Protection Agency
EPA Region 6 REAP Rarity Geodatabase

The Regional Ecological Assessment Protocol (REAP) is a screening level assessment tool created as a way to identify priority ecological resources within the five EPA Region 6 states (Arkansas, Louisiana, New Mexico, Oklahoma, and Texas). The REAP divides eighteen individual measures into three main sub-layers: diversity, rarity, and sustainability. This geodatabase contains 2 rarity layers (rarity and rarityrank) which shows the rarity of species and land cover in the Region. There are four measures that make up the rarity layer: vegetation rarity, natural heritage rank, taxonomic richness, and rare species richness. Each cell in the final rarity grid has a score of between 1 and 100 based on the average of the four measures. Cells with higher scores represent areas that have the most rarity. Cells with lower scores represent areas that have the least rarity. In the rarityrank grid, the cells are placed into the following 5 groups based on the score: 1 (top 1% of scores), 10 (top 10% of scores), 25 (top 25% of scores), 50 (top 50% of scores), and 100 (all the rest of the scores). See each individual layer for more detailed metadata.

Tags: 020:070, arkansas, biology, conservation, ecology, ecosystem, environment, impact, indicator, land, louisiana, management, modeling, natural resources, new mexico, oklahoma, texas
Organization: U.S. Environmental Protection Agency
EPA Region 6 REAP Sustainability Geodatabase

The Regional Ecological Assessment Protocol (REAP) is a screening level assessment tool created as a way to identify priority ecological resources within the five EPA Region 6 states (Arkansas, Louisiana, New Mexico, Oklahoma, and Texas). The REAP divides eighteen individual measures into three main sub-layers: diversity, rarity, and sustainability. This geodatabase contains the 2 grids (sustain and sustainrank) representing the sustainability layer which describes the state of the environment in terms of stability (sustainble areas are those that can maintain themselves into the future without human management). There are eleven measures that make up the sustainability layer: contiguous land cover, regularity of ecosystem boundary, appropriateness of land cover, waterway obstruction, road density, airport noise, Superfund sites, Resource Conservation and Recovery Act (RCRA) sites, water quality, air quality, and urban/agriculture disturbance. Each cell in the final sustain grid has a score of between 1 and 100 based on the average of the eleven measures. Cells with higher scores represent areas that are more sustainable. Cells with lower scores represent areas that are the least sustainable. In the sustainrank grid, the cells are placed into the following 5 groups based on the score: 1 (top 1% of scores), 10 (top 10% of scores), 25 (top 25% of scores), 50 (top 50% of scores), and 100 (all the rest of the scores). See the metadata for each individual layer for more detailed information.

Tags: 020:070, arkansas, biology, conservation, ecology, ecosystem, environment, impact, indicator, land, louisiana, management, modeling, natural resources, new mexico, oklahoma, texas
Organization: U.S. Environmental Protection Agency
EPA Region 6 REAP Composite Geodatabase

The Regional Ecological Assessment Protocol (REAP) is a screening level tool created as a way to identify priority ecological resources within the five EPA Region 6 states (Arkansas, Louisiana, New Mexico, Oklahoma, and Texas). The REAP divides eighteen individual measures into three main sub-layers: diversity, rarity, and sustainability. This geodatabase contains the composite of these three layers. There are 2 composite grids within this geodatabase (composite & composite rank). The composite grid results from the sum of the 3 sub-layers with scores ranging from 3 to 300. The higher scores represent areas that may be of a higher ecological importance. The compositerank grid represents a ranking of the scores in the composite grid. Each cell is placed into 1 of the following 5 groups based on the score: 1 (top 1% of scores), 10 (top 10% of scores), 25 (top 25% of scores), 50 (top 50% of scores), and 100 (the bottom 50% of scores). See each individual feature class for more detailed metadata.

Tags: 020:070, arkansas, biology, conservation, ecology, ecosystem, environment, impact, indicator, land, louisiana, management, modeling, natural resources, new mexico, oklahoma, texas
Organization: U.S. Environmental Protection Agency
EPA Region 6 REAP Diversity Geodatabase

The Regional Ecological Assessment Protocol (REAP) is a screening level tool created as a way to identify priority ecological resources within the five EPA Region 6 states (Arkansas, Louisiana, New Mexico, Oklahoma, and Texas). The REAP divides eighteen individual measures into three main sub-layers: diversity, rarity, and sustainability. This geodatabase contains the diversity layers. There are 2 diversity grids within this geodatabase (diversity & diversityrank). The diversity layer shows land cover continuity and diversity. There are three measures that make up the diversity layer: appropriateness of land cover, contiguous size of undeveloped area, and the Shannon land cover diversity index. Each cell in the final diversity grid has a score of between 1 and 100 based on the average of the three measures. Cells with higher scores represent areas that are more diverse. Cells with lower scores represent areas that are the least diverse. In the diversityrank grid, the cells are placed into the following 5 groups based on the score: 1 (top 1% of scores), 10 (top 10% of scores), 25 (top 25% of scores), 50 (top 50% of scores), and 100 (all the rest of the scores). See each individual feature class for more detailed metadata.

Tags: 020:070, arkansas, conservation, ecosystem, environment, impact, indicator, land, louisiana, management, modeling, natural resources, new mexico, oklahoma, texas
Organization: U.S. Environmental Protection Agency
ROSETTA-ORBITER 67P RSI 1/2/3
                                     COMET ESCORT 3 0937 V1.0

This is a Rosetta Radio Science data set, collected during the COMET ESCORT 3 phase 2015-07-01 to 2015-10-21. It is a Global Gravity measurement at the comet 67P and covers the time 2015-08-03T10:08:20.000 to 2015-08-03T13:33:19.000.

Tags: 67p-churyumov-gerasimenko-1-1969-r1, international-rosetta-mission
Organization: National Aeronautics and Space Administration
Conley 2024 Maternal and fetal effects of PFO5DoA and PFO4DA Dataset

Summary data (mean, standard error, sample size) for all maternal and fetal endpoints reported in the manuscript from experiments with the novel, long-chain PFAS PFO5DoA and PFO4DA. 

This dataset is associated with the following publication:
Conley, J., C. Lambright, N. Evans, J. Bangma, J. Ford, D. Jenkins-Hill, and L. Gray. Long-chain perfluoroalkylether carboxylic acids PFO5DoA and PFO4DA alter glucose, bile acid, and thyroid hormone homeostasis in fetal rats from 5-day maternal oral exposure.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 236(3): 120210, (2024).

Tags: adverse-outcome-pathways-aops, childrens-environmental-health, childrens-health, hazard-identification, health-effects, human-health, in-vivo, pfas
Organization: U.S. Environmental Protection Agency
EMF37 Data

This dataset includes model ensemble results for the EMF37 study. 

This dataset is associated with the following publication:
Bistline, J., M. Binstead , G. Blanford, G. Boyd, M. Browning, Y. Cai, J. Edmonds, A. Fawcett, J. Fuhrman, R. Gao, C. Harris, C. Hoehne, G. Iyer, J. Johnson, O. Kaplan, D. Loughlin, M. Mahajan, T. Mai, J. McFarland, H. McJeon, M. Melaina, S.S. Mousavi, M. Muratori, R. Orvis, A. Prabhu, C. Rossmann, R. Sands, L. Sarmiento, S. Showalter, A. Sinha, E. Starke, E. Stewart, K. Vaillancourt, J. Weyant, F. Wood, and M. Yuan. Policy implications of net-zero emissions: A multi-model analysis of United States emissions and energy system impacts.   Energy and Climate Change. Elsevier B.V., Amsterdam,  NETHERLANDS, 6: 100191, (2025).

Tags: climate-change, decarbonization, emissions, model-comparison, model-incomparison
Organization: U.S. Environmental Protection Agency
GL_19_2 complete data

Study raw data used to generate manuscript figures/tables. 

This dataset is associated with the following publication:
Fiamingo  (Fyle) same person, M., G. Little, M. Harmon, B.L. Martin, W. Oshiro, K. McDaniel, Y.H. Kim, I. Gilmour, A. Farraj, and M. Hazari. The impact of housing and high-fructose diet on behavior and cardiovascular response to eucalyptus wildfire smoke in WKY rats.   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A:  CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA,  1-20, (2025).

Tags: behavior, cardiovascular, diet, housing
Organization: U.S. Environmental Protection Agency
Data for Heat and housing effects on cardiopulmonary and behavior response to wildfire smoke

This is the complete dataset of the study MF_21_1, which investigates the impact of high living temperatures and housing on cardiopulmonary and behavioral function in mice and subsequent response to eucalyptus wildfire smoke. 

This dataset is associated with the following publication:
Fiamingo, M., T. Jackson, S. Toler, W. Oshiro, K. McDaniel, L. Klein, K. Lee, P. Evansky, I. Gilmour, A. Farraj, and M. Hazari. The Impacts of Housing Conditions on the Cardiopulmonary and Neurobehavioral Responses of Mice to High Temperature and Wildfire Smoke.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 59(22): 10929-10943, (2025).

Tags: cardiovascular-disease, climate-change, environmental-justice, heat, housing, mouse, wildfire-smoke
Organization: U.S. Environmental Protection Agency
An integrated approach to coupled nutrient and microbial source tracking in an agricultural watershed

metadata entry for publication. Portions of this dataset are inaccessible because: data uploaded in ScienceHub. They can be accessed through the following means: contact first author on the paper. Format: Excel data file containing sampling locations, names, and all sampling data (nutrient, nitrate isotope, E. coli, and microbial source tracking data. 

This dataset is associated with the following publication:
Zimmer-Faust, A., C. Brown, O. Shanks, W. Rugh, T.C. Mochon Collura, and H. Stecher. An integrated approach to coupled nutrient and microbial source tracking in an agricultural watershed.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, (272): 122981, (2025).

Tags: bacteria, co-pollutants, microbial-source-tracking, nitrate-isotope, nitrogen
Organization: U.S. Environmental Protection Agency
EPA Data Contributed to Khan et al. (2025) manuscript "Ozone dry deposition through plant stomata: Multi-model comparison with flux observations and the role of water stress as part of AQMEII4 Activity 2"

This dataset contains the EPA-generated M3Dry, M3Dry-psn, and STAGE single point model data contributed to support the externally-led analysis in the manuscript "Ozone dry deposition through plant stomata: Multi-model comparison with flux observations and the role of water stress as part of AQMEII4 Activity 2". 

This dataset is associated with the following publication:
Khan, A., O. Clifton, J. Bash, S. Bland, N. Booth, P. Cheung, L. Emberson, J. Fleming, E. Fredj, S. Galmarini, L. Ganzeveld, O. Gazetas, I. Goded, C. Hogrefe, C. Holmes, L. Horváth, V. Huijnen, Q. Li, P. Makar, I. Mammarella, G. Manca, W. Munger, J.L. Perez Camanyo, J. Pleim, L. Ran, R. San Jose, D. Schwede, S. Silva, R. Staebler, S. Sun, A. Tai, E. Tas, T. Vesala, T. Weidinger, Z. Wu, L. Zhang, and P. Stoy. Ozone dry deposition through plant stomata: Multi-model comparison with flux observations and the role of water stress as part of AQMEII4 Activity 2.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 25(15): 8613–8635, (2025).

Tags: aqmeii, model-evaluation, ozone-dry-deposition, stomatal-conductance
Organization: U.S. Environmental Protection Agency
SSM from UDOT and Panasonic Connected Vehicle Data Ecosystem Program

This dataset contains V2X data collected from the Utah Connected Vehicle Data Ecosystem Program. We have submitted 7 days of Signal Status Message (SSM) in J2735 standards from 3 intersections in Orem, UT. This includes: (1) vehicles equipped with OBUs (Onboard Units) for real-time V2X (Vehicle-to-Everything) data transmission and reception, (2) road-side units (RSUs) capable of capturing, transmitting, and processing data from the transportation environment, and (3) a secure, scalable cloud platform for aggregating, analyzing, and visualizing transportation data.

Tags: basic-safety-message-bsm, connected-vehicle-data, intelligent-transportation-systems-its, its-joint-program-office-jpo, signal-phase-and-timing-spat, transit-signal-priority-tsp
Organization: Department of Transportation
SRM from UDOT and Panasonic Connected Vehicle Data Ecosystem Program

This dataset contains V2X data collected from the Utah Connected Vehicle Data Ecosystem Program. We have submitted 7 days of deduplicated Signal Request Messages (SRMs) in J2735 standards from 3 intersections in Orem, UT. This includes: (1) vehicles equipped with OBUs (Onboard Units) for real-time V2X (Vehicle-to-Everything) data transmission and reception, (2) road-side units (RSUs) capable of capturing, transmitting, and processing data from the transportation environment, and (3) a secure, scalable cloud platform for aggregating, analyzing, and visualizing transportation data.

Tags: basic-safety-message-bsm, connected-vehicle-data, intelligent-transportation-systems-its, its-joint-program-office-jpo, signal-phase-and-timing-spat, transit-signal-priority-tsp, vehicle-to-infrastructure-v2i
Organization: Department of Transportation
SPaT from UDOT and Panasonic Connected Vehicle Data Ecosystem Program

This dataset contains V2X data collected from the Utah Connected Vehicle Data Ecosystem Program. We have submitted 7 days of Signal Phase and Timing Messages (SPaT) in J2735 standards from 3 intersections in Orem, UT. This includes: (1) vehicles equipped with OBUs (Onboard Units) for real-time V2X (Vehicle-to-Everything) data transmission and reception, (2) road-side units (RSUs) capable of capturing, transmitting, and processing data from the transportation environment, and (3) a secure, scalable cloud platform for aggregating, analyzing, and visualizing transportation data.

Tags: connected-vehicle-data, intelligent-transportation-systems-its, its-joint-program-office-jpo, signal-phase-and-timing-spat, transit-signal-priority-tsp, vehicle-to-infrastructure-v2i
Organization: Department of Transportation
BSM from UDOT and Panasonic Connected Vehicle Data Ecosystem Program

This dataset contains V2X data collected from the Utah Connected Vehicle Data Ecosystem Program. We have submitted 7 days of deduplicated Basic Safety Messages (BSMs) in J2735 standards from 3 intersections in Orem, UT.This includes: (1) vehicles equipped with OBUs (Onboard Units) for real-time V2X (Vehicle-to-Everything) data transmission and reception, (2) road-side units (RSUs) capable of capturing, transmitting, and processing data from the transportation environment, and (3) a secure, scalable cloud platform for aggregating, analyzing, and visualizing transportation data.

Tags: basic-safety-message-bsm, connected-vehicle-data, intelligent-transportation-systems-its, its-joint-program-office-jpo, signal-phase-and-timing-spat, transit-signal-priority-tsp
Organization: Department of Transportation
Blockfaces

A. SUMMARY Blockface geography for the City of San Francisco (coincident with curb lines).

B. METHODOLOGY  Dataset created by multiple analysts over several years; various methodologies employed including manual drawing and use of offset tool and street centerline shapefile. Most recent methodology includes use of  the "blockfaster" tool.

C. UPDATE FREQUENCY  Updated frequently as this dataset is currently in development, as of June 2015. 

D. OTHER CRITICAL INFO  Attributes are in progress and unverified, except for SFPARK_ID.Some blockfaces are drawn only for portions of a given street length, as they were originally intended to show length of street where parking regulations were in effect. Currently being revised (June 2015).

Tags: blockface, blockfaces, right-of-way, side-of-street, streets
Organization: City of San Francisco