AndreaBozzo/ceres-open-data-index huggingface dataset:
Environmental Quality Index

An Environmental Quality Index (EQI) for all counties in the United States for the time period 2000-2005 was developed which incorporated data from five environmental domains: air, water, land, built, and socio-demographic. The EQI was developed in four parts: domain identification; data source identification and review; variable construction; and data reduction using principal components analysis (PCA). The methods applied provide a reproducible approach that capitalizes almost exclusively on publically-available data sources.  The primary goal in creating the EQI is to use it as a composite environmental indicator for research on human health. A series of peer reviewed manuscripts utilized the EQI in examining health outcomes. This dataset is not publicly accessible because: This series of papers are considered Human health research - not to be loaded onto ScienceHub. It can be accessed through the following means: The EQI data can be accessed at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: EQI data, metadata, formats, and data dictionary all available at website. 

This dataset is associated with the following publications:
Gray, C., L. Messer, K. Rappazzo, J. Jagai, S. Grabich, and D. Lobdell. The association between physical inactivity and obesity is modified by five domains of environmental quality in U.S. adults: A cross-sectional study.   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 13(8): e0203301, (2018).
Patel, A., J. Jagai, L. Messer, C. Gray, K. Rappazzo, S. DeflorioBarker, and D. Lobdell. Associations between environmental quality and infant mortality in the United States, 2000-2005.   Archives of Public Health. BioMed Central Ltd, London,  UK, 76(60): 1, (2018).
Gray, C., D. Lobdell, K. Rappazzo, Y. Jian, J. Jagai, L. Messer, A. Patel, S. Deflorio-Barker, C. Lyttle, J. Solway, and A. Rzhetsky. Associations between environmental quality and adult asthma prevalence in medical claims data.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 166: 529-536, (2018).

Tags: ambient-air-quality, built-environment, environmental-quality, land-quality, sociodemographic-quality, water-quality
Organization: U.S. Environmental Protection Agency
Ambient Ozone and PM2.5 levels and miRNA expression-version 1.23.2020

The dataset contains ambient air pollution data and circulating miRNA data of subjects from the CADEE study. 

This dataset is associated with the following publication:
Chen, H., Y. Xu, A. Rappold, D. Diaz-Sanchez, and H. Tong. Effects of ambient ozone exposure on circulating extracellular vehicle microRNA levels in coronary artery disease patients.   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A:  CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 83(9): 351-362, (2020).

Tags: air-pollutants, beta-blocker, mirna, mixed-effect-model, ozone, pm2-5, repeated-measures
Organization: U.S. Environmental Protection Agency
ScID A-c2g5: 2019 Kastury IVIVC Pb-phosphate Pb XANES Linear combination data Table

Changes in Pb speciation in phosphoric acid amended soil are detailed in the dataset. Pb speciation was determined utilizing X-ray absorption spectroscopy coupled with linear combination fitting to decipher the distribution of various Pb phases. Paired soil samples before and after treatment with phosphoric acid were examined and compared with bioavailability data determined by collaborators. 

This dataset is associated with the following publication:
Kastury, F., S. Placitu, J. Boland, R.R. Karna, K.G. Scheckel, E. Smith, and A.L. Juhasz. Relationship between Pb relative bioavailability and bioaccessibility in phosphate amended soil: Uncertainty associated with predicting Pb immobilization efficacy using in vitro assays.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 131: 104967, (2019).

Tags: lead-immobilzation, metal-bioavailability, phosphate-amendments, relative-bioavailability, synchrotron-speciation
Organization: U.S. Environmental Protection Agency
Carbonaceous particulate matter emitted from a pellet-fired biomass boiler

This data examines the chemical composition of particulate matter (PM) emitted from outdoor pellet boilers. Pellet boilers are often used in homes to generate hot water or heat.  The emissions of these boilers are compared with other hot water and heating technologies. Carbon composition of the emissions is the main focus. 

This dataset is associated with the following publication:
Hays, M., J. Kinsey, I. George, W. Preston, C. Singer, and B. Patel. Carbonaceous particle matter emitted from a pellet-fired biomass boiler.   ATMOSPHERE. MDPI AG, Basel,  SWITZERLAND,  536, (2019).

Tags: aerosol-optical-properties, biomass-burning, combustion-emissions, fine-particulate-matter, outdoor-boilers, pellets, polycyclic-aromatic-hydrocarbons
Organization: U.S. Environmental Protection Agency
Characterization of Colloidal-size Copper based pesticides

Data set provides the characterization of colloidal and nano-size copper pesticides, including properties related to their environmental fate, transport, sorption and degradation parameters. The study will inform whether nanoformulations can be evaluated within the current pesticide regulatory framework. 

This dataset is associated with the following publication:
Tegenaw, A., G.A. Sorial, E. Sahle-Demessie, and C. Han. Characterization of colloid-size copper-based pesticide and its potential ecological implications..   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 253: 278-287, (2019).

Tags: agriculture, bioavailability, colloidal-stability, cu2o-pesticide, exposure-pathways
Organization: U.S. Environmental Protection Agency
Investigation of Factors Controlling PM2.5 Variability across the South Korean peninsula during KORUS-AQ

Data collected for this research provides information on mixing layer heights at Olympic Park during the KORUS-AQ field campaign. 

This dataset is associated with the following publication:
Jordan, C., J. Crawford, A. Beyersdorf, T. Eck, H. Halliday, B. Nault, L. Chang, J. Park, R. Park, G. Lee, H. Kim, J. Ahn, S. Cho, H.J. Shin, J.H. Lee, J. Jung, D. Kim, M. Lee, T. Lee, A. Whitehill, J. Szykman, M. Schueneman, P. Campuzano-Jost, J. Jimenez, J. DiGangi, G. Diskin, B. Anderson, R. Moore, L. Ziemba, M. Fenn, J. Hair, R. Kuehn, R. Holz, G. Chen, K. Travis, M. Shook, D. Peterson, K. Lamb, and J. Schwarz. Investigation of factors controlling PM2.5 variability across the South Korean Peninsula during KORUS-AQ.   Elementa: Science of the Anthropocene. University of California Press (UC Press), Oakland, CA, USA, 8(1): 28, (2020).

Tags: air-quality, korea, korus-aq, pm-2-5
Organization: U.S. Environmental Protection Agency
Biotrickle Filtration of Trihalomethanes

This study involves the use of biofiltration, which is a control technique to degrade trihalomethanes using a bioreactor containing living material to capture and biologically degrade pollutants. Common uses include processing waste water, capturing harmful chemicals or silt from surface runoff, and microbiotic oxidation of contaminants in air. 

This dataset is associated with the following publication:
Mezgebe, B., G. Sorial, D. Wendell, and E. Sahle-Demessie. Effectiveness of biosurfactant for the removal of trihalomethanes by biotrickling filter.   Wiley StatsRef: Statistics Reference Online. John Wiley & Sons, Inc., Hoboken, NJ, USA, 1(1): 12031, (2019).

Tags: biodegradation, biotrickling-filter, chloroform, dichlorobromomethane, fungi, microbial-analysis, trihalomethanes
Organization: U.S. Environmental Protection Agency
AAFEX Aircraft Emissions Field Campaign

This dataset contains information from a 2009 research study of the fine particle emissions from two commercial aircraft engines as obtained 30-meters downstream of each engine. 

This dataset is associated with the following publication:
Kinsey, J., W. Squier, and M. Timko. Characterization of the Fine Particle Emissions from the Use of Two Fischer-Tropsch Fuels in a CFM56-2C1 Commercial Aircraft Engine.   ENERGY AND FUELS. American Chemical Society, Washington, DC, USA,  33, (2019).

Tags: aircraft-engines, emissions, fine-particulate-matter, instrumentation, speciation
Organization: U.S. Environmental Protection Agency
Species sulfur sulfate raw data

Measurements of water sulfate concentrations at the beginning and end of the exposures of the animals, initial δ(34S/32S) ratios in the animals at the beginning and end of the exposures, and initial δ(34S/32S) ratios of the exposure water. 

This dataset is associated with the following publication:
Griffith, M., J. Lazorchak, and H. Haring. Uptake of Sulfate from Ambient Water by Freshwater Animals.   WATER. MDPI AG, Basel,  SWITZERLAND, 12(5): 1496, (2020).

Tags: aquatic-animals, major-ions, sulfate, uptake, water-quality
Organization: U.S. Environmental Protection Agency
Droplet Digital PCR Quantification of Norovirus and Adenovirus in Decentralized Wastewater and Graywater Collections

Provides droplet digital polymerase chain reaction (ddPCR) and quantitative PCR (qPCR) measurements of adenovirus and norovirus in three decentralized wastewater and graywater collection systems. 

This dataset is associated with the following publication:
Jahne, M., N. Brinkman, S. Keely, B. Zimmerman, E. Wheaton, and J. Garland. Droplet Digital PCR Quantification of Norovirus and Adenovirus in Decentralized Wastewater and Graywater Collections: Implications for Onsite Reuse.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 169: 115213, (2020).

Tags: ddpcr, graywater, norovirus, qmra, wastewater, water-reuse
Organization: U.S. Environmental Protection Agency
California Central Valley PWC sensitivity analysis data

This repository contains model input/output, R scripts and collated literature data as part of the model evaluation and sensitivity analysis process for the Pesticide Water Calculator. 

This dataset is associated with the following publication:
Sinnathamby, S., J. Minucci, D. Denton, S. Raimondo, L. Oliver, Y. Yuan, D. Young, A. Pitchford, E. Waits, and T. Purucker. A sensitivity analysis of pesticide concentrations in California Central Valley vernal pools.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 257: 113486, (2019).

Tags: agricultural-watersheds, pesticides, vernal-pools
Organization: U.S. Environmental Protection Agency
Detection Limit Study

Detection Limit Study. 

This dataset is associated with the following publication:
Reddy, T., R. Flick , J. Lazorchak , M. Smith, B. Wiechman, and D. Lattier. Experimental paradigm for in-lab proxy aquatic studies under conditions of static, non flow through chemical exposures.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 34(12): 2796-2802, (2015).

Tags: contaminant-of-emerging-concern, ecotoxicogenomic, endocrine-disrupting-compound, estrongenic-compound, transcriptomics
Organization: U.S. Environmental Protection Agency
Volatile organic compound emissions from prescribed burning in tallgrass prairie ecosystems

Measured concentrations of carbon monoxide, carbon dioxide, and voaltile organic compounds from downwind of prescribe fires in tallgrass prairie ecosystems. Data is in *.csv format. 

This dataset is associated with the following publication:
Whitehill, A., I. George, R. Long, K. Baker, and M. Landis. Volatile Organic Compound Emissions from Prescribed Burning in Tallgrass Prairie Ecosystems.   ATMOSPHERE. MDPI AG, Basel,  SWITZERLAND, 10(8): 464, (2019).

Tags: carbon-dioxide, carbon-monoxide, emission-factor, fire, hazardous-air-pollutant, oozne-production, tallgrass-prairie, volatile-organic-compounds, wildfire-land
Organization: U.S. Environmental Protection Agency
Decision Analytic Aproach Survey Results

An elicitation with 32 experts informed relative prioritization of risks from chemical properties and human use factors for consumer product-related chemicals. Three different versions of the model were evaluated using distinct weight profiles. 

This dataset is associated with the following publication:
Wood, M., K. Plourde, S. Larkin, P. Egeghy, A. Williams, V. Zemba, I. Linkov, and D. Vallero. Advances on a Decision Analytic Approach to Exposure‐Based Chemical Prioritization.   RISK ANALYSIS. Blackwell Publishing, Malden, MA, USA, 40(1): 83-96, (2020).

Tags: engineering-risk-analytics, expert-elicitation, exposure-science, mcda, multi-criteria-decision-analysis, screening-prioritization
Organization: U.S. Environmental Protection Agency
Modeling Spatiotemporal Patterns of Ecosystem Metabolism and Organic Carbon Dynamics Affecting Hypoxia on the Louisiana Continental Shelf.

These data include field observations from Northern Gulf of Mexico research surveys, as well as hydrodynamic and water quality model data generated by the Coastal Generalized Ecosystem Model (CGEM) between 2003-2007.

Tags: gulf-of-mexico, hypoxia, nutrients, water-quality-simulation-modeling
Organization: U.S. Environmental Protection Agency
Model code, tech manual, and model input files

The GitHub repository includes the model code, an annotated description of the code and technical manual. Copies of input files used to generate the published results are also included. This file also contains the data for the modeling reported in a second publication "Brandon, Namdi, and Paul S. Price. "Calibrating an agent-based model of longitudinal human activity patterns using the Consolidated Human Activity Database." Journal of exposure science & environmental epidemiology (2019): 1-11". 

This dataset is associated with the following publication:
Brandon, N., K. Dionisio, K. Isaacs, R. Tornero-Velez, D. Kapraun, W. Setzer, and P. Price. Simulating exposure-related behaviors using agent-based models embedded with needs-based artificial intelligence.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 30: 184–193, (2020).

Tags: agent-based-model, computational-exposure, human-behavior
Organization: U.S. Environmental Protection Agency
New bidirectional ammonia flux model in an air quality model coupled with an agricultural model

L1_cation.txt is a text dump of CEC data from EPIC output for the 12 km CMAQ grid for each of 42 crop types

CMAQv53_bidi_fix_NH3_290871_scatterplot.csv is data table used for scatter plot of observed vs AMoN NH3 concentrations shown is fig 5 in the paper

CMAQv53_bidi_fix_PM25_NH4_494657_spatialplot_diff.csv is the data table used to produce the spatial plot of the biases in modeled ammonium PM2.5 (g m-3) compared to CSN (circles), CASTNet (triangles), and SEARCH (squares) networks averaged over May to September 2016 as shown in Fig6.

CMAQv53_bidi_fix_PM25_SO4_886932_spatialplot_diff.csv   is the data table used to produce the spatial plot of the biases in modeled sulfate PM2.5 (g m-3) compared to IMPROVE (circles), CSN (triangles), CASTNET (squares), and SEARCH (diamonds) networks averaged over May to September 2016. 

This dataset is associated with the following publication:
Pleim, J., L. Ran, K. Appel, M. Shephard, and K. Cady-Pereira. New Bidirectional Ammonia Flux Model in an Air Quality Model Coupled With an Agricultural Model.   Journal of Advances in Modeling Earth Systems. John Wiley & Sons, Inc., Hoboken, NJ, USA, 11(9): 2934-2957, (2019).

Tags: ammonia, ammonia-concentrations-and-fluxes, community-multi-scale-air-quality-cmaq-model
Organization: U.S. Environmental Protection Agency
3rd gen wheat data repository

Data show the effects of nano CeO2 particles on the nutrient contents and stable isotopes of wheat plants over 3 generations of exposure. 

This dataset is associated with the following publication:
Rico, C.M., O.M. Abolade, D. Wagner, B. Lottes, J. Rodriguez, R. Biagioni, and C. Andersen. Wheat exposure to cerium oxide nanoparticles over three generations reveals transmissible changes in nutrition, biochemical pools, and response to soil N.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 384: 121364, (2020).

Tags: ammonium-nitrate, engineered-nanomaterials-enms, intergenerational-effects, isotope, isotopic-discrimination, nitrogen
Organization: U.S. Environmental Protection Agency
Benthic Community and sediment data from Pensacola Bay, Florida 2016

Data is in support of a survey of benthic communities in across a salinity gradient Pensacola Bay during Summer 2016. Data describe the fauna community composition and corresponding sediment parameters (including sediment grain size and trace metal concentrations). Benthic habitat condition is estimated using benthic index approaches developed for Gulf estuaries (GOM B-IBI and EMAP-E).  All taxonomic nomenclature follows the World Register of Marine Species (http://www.marinespecies.org/). Samples were collected using a 232 cm2 surface area box corer, and 0.5-mm mesh sieve. 

This dataset is associated with the following publication:
Nestlerode, J., M. Murrell, J. Hagy, L. Harwell, and J. Lisa. Bioassessment of a Northwest Florida Estuary Using Benthic Macroinvertebrates.   Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 16(2): 245-256, (2020).

Tags: benthic-infauna, bioassessment, estuary, gulf-of-mexico-gom
Organization: U.S. Environmental Protection Agency
Model code, tech manual, and model input files

The Agent-Based Model of Human Activity Patterns (ABMHAP): Documentation and Users Guide. 

This dataset is associated with the following publication:
Brandon, N., and P. Price. Calibrating an agent-based model of longitudinal human activity patterns using the Consolidated Human Activity Database.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 30: 194–204, (2020).

Tags: agent-based-modeling, computational-exposure, human-behavior
Organization: U.S. Environmental Protection Agency
Datasets for PUC paper 09182018

Datasets associated with the publication "Establishing a System of Consumer Products Categories to Support Rapid Modeling of Human Exposure". 

This dataset is associated with the following publication:
Isaacs, K., K. Dionisio, K. Phillips, C. Bevington, P. Egeghy, and P. Price. Establishing a system of consumer product use categories to support rapid modeling of human exposure.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 30: 171-183, (2020).

Tags: consumer-products, expocast, exposure-assessment, hem, human-exposure-modeling, sheds-ht
Organization: U.S. Environmental Protection Agency
Enhancement of RNA from  FFPE v27.2

This data set is composed of Tables, Figures, zip file containing the whole manuscript individual datasets. 

This dataset is associated with the following publication:
Wehmas, L., C. Wood, B. Chorley, C. Yauk, G. Nelson, and S. Hester. Enhanced Quality Metrics for Assessing RNA Derived From Archival Formalin-Fixed Paraffin-Embedded Tissue Samples.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  170(2): 357-373, (2019).

Tags: quality-metrics
Organization: U.S. Environmental Protection Agency
Hypothetical Aggregate Exposure Pathway Network

This data set contains R code for a hypothetical exposure model described in the manuscript "A quantitative source-to-outcome case study to demonstrate the integration of human health and ecological endpoints using the Aggregate Exposure Pathway and Adverse Outcome Pathway frameworks".  Additionally, this data set contains an Excel file that provides the range of parameters used in Monte Carlo simulations to generate iterations of the exposure network. 

This dataset is associated with the following publication:
Hines, D., R. Conolly, and A. Jarabek. A quantitative source-to-outcome case study to demonstrate the integration of human health and ecological endpoints using the Aggregate Exposure Pathway and Adverse Outcome Pathway frameworks.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(8): 11002-11012, (2019).

Tags: adverse-outcome-pathway, aggregate-exposure, aggregate-exposure-pathway, cumulative-risk-assessment, environmental-exposure
Organization: U.S. Environmental Protection Agency
Arsenic Safe Drinking Water Information System (SDWIS) Federal Reports Advanced Search Tool

This data includes information on Arsenic violations in the US, including time patterns and spatial patterns in Arsenic violations, and people served by systems in violation. Most of the data is from the Safe Drinking Water Information System. 

This dataset is associated with the following publication:
Foster, S., M. Pennino, J. Compton, S. Leibowitz, and M. Kile. Arsenic Drinking Water Violations Decreased Across the United States Following Revision of the Maximum Contaminant Level..   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(19): 11478-11485, (2019).

Tags: drinking-water, maximum-contaminant-level, nitrate, nitrate-in-groundwater, public-water-systems, surface-water
Organization: U.S. Environmental Protection Agency
data sets for Nano TiO2 & CeO2 effects on BEAS-2B cells

Signaling pathways  from IPA:  canonical pathways obtained by uploading differentially expressed genes onto IPA to get the corresponding pathways altered by the chemicals.

Figure 4 ABCDHILM ROS final:  Excel file with raw data and calculated fold change for the ROS (Deep Red) assay on 8 nanoparticles.

Data files for tables:  this file include physical-chemical properties of the 8 NPs (worksheet 1), sizing and zeta potential from zeta sizer (worksheet 2&3) and numbers of differentially expressed genes (DEGs) (worksheet 4).

Data files for figure 5 to 11:  physical -chemical properties of the NPs, raw data and calculation for ROS-RNS, 8-oxo-dG, AP sites, endogenous DNA adducts, 4-HNE, and MDA adducts. 

This dataset is associated with the following publication:
Thai, S., C. Jones, G. Nelson, B. Vallanat, M. Killius, J. Crooks, w. Ward, C. Blackman, and J. Ross. Differential effects of Nano TiO2 and CeO2 on normal human lung epithelial cells in vitro.   Journal of Nanoscience and Nanotechnology. American Scientific Publishers, VALENCIA, CA, USA, 19(11): 6907-6923, (2019).

Tags: dna-damage-assays, engineered-nanomaterials, reactive-oxygen-species, signaling-pathways-analysis, transcriptomics
Organization: U.S. Environmental Protection Agency
Dataset for Exploring case-control samples with non-targeted analysis

These data contain the results of GC-MS, LC-MS and immunochemistry analyses of mask sample extracts. The data include tentatively identified compounds through library searches and compound abundance. 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 data can not be accessed. Format: The dataset contains the identification of compounds found in the mask samples as well as the abundance of those compounds for individuals who participated in the trial. 

This dataset is associated with the following publication:
Pleil, J., M. Wallace, J. McCord, M. Madden, J. Sobus, and G. Ferguson. How do cancer-sniffing dogs sort biological samples? Exploring case-control samples with non-targeted LC-Orbitrap, GC-MS, and immunochemistry methods.   Journal of Breath Research. Institute of Physics Publishing, Bristol,  UK, 14(1): 016006, (2019).

Tags: canine-olfaction, case-control-analysis, immunochemistry, orbitrap-mass-spectrometry, pre-clinical-cancer
Organization: U.S. Environmental Protection Agency