AndreaBozzo/ceres-open-data-index huggingface dataset:
Excel spreadsheet of data used in Figure 3

Distribution of doses of a volatile organic compound from inhalation of one consumer product, other near -field sources, far-field sources, and aggregate (total) exposure. In this instance, far-field scenarios account for several orders of magnitude of less of the predicted dose compared to near-field scenarios. 

This dataset is associated with the following publication:
Vallero, D. Air Pollution Monitoring Changes to Accompany the Transition from a Control to a Systems Focus.   Sustainability. MDPI AG, Basel,  SWITZERLAND, 8(12): 1216, (2016).

Tags: air-pollution-exposure, exposure-based-screening, life-cycle-assessment, microenvironment, near-field-exposure
Organization: U.S. Environmental Protection Agency
Rapid Effects of the Aromatase Inhibitor Fadrozole on Steroid Production and Gene Expression in the Ovary of Female Fathead Minnows (Pimephales promelas)

Aromatase inhibition is one of the chemical modes of action of concern to EPA's Endocrine Disruptor Screening Program (EDSP). In vitro bioassays that can detect aromatase inhibition are part of both the EDSP tier 1 screening program and are included subset of ToxCast assays employed for EDSP21 screening. An adverse outcome pathway (AOP) linking aromatase inhibition to reproductive dysfunction in fish has been described and endorsed by the OECD, establishing a scientifically sound connection between aromatase inhibition and adverse apical outcomes relevant to risk assessment and regulatory decision-making. Further, computational models that allow for quantitative prediction of dose-response time-course behaviors and the potential severity of the adverse outcome based on in vitro screening data have been developed. The present study provides further weight of evidence to support this AOP and its use in regulatory decision-making. In particular, it identifies rapid responses to aromatase inhibition that can be expected to occur within the first 24 h of exposure, examines the dynamic stability of gene expression responses over that period to help identify appropriate time periods in which characteristic gene expression responses may serve as effective biomarkers of exposure to aromatase inhibitors, and provides insights into different gene regulatory mechanisms that may be operating over the first few hours of exposure versus more systemic endocrine-related regulation that appear to take over after 6-12 h of exposure. These data continue to refine our understanding of this important mode of endocrine disruption and how to more efficiently and effectively both model and test for it to support regulatory decision-making. 

This dataset is associated with the following publication:
Schroeder, A., G. Ankley, T. Habib, N. Garcia-Reyero, B. Escalon, K. Jensen, M. Kahl, E. Durhan, E. Makynen, J. Cavallin, D. Martinovic-Weigelt, E. Perkins, and D. Villeneuve. Rapid effects of the aromatase inhibitor fadrozole on steroid production and gene expression in the ovary of female fathead minnows (Pimephales promelas).   GENERAL AND COMPARATIVE ENDOCRINOLOGY. Academic Press Incorporated, Orlando, FL, USA, 252: 79-87, (2017).

Tags: adverse-outcome-pathway, aquatic-ecosystems, ecotoxicology, endocrine-disruption, screening-and-prioritization, transcriptomics
Organization: U.S. Environmental Protection Agency
Arden-Literature Review of Constructed Wetlands for greywater recycle and reuse

•	Constructed wetlands are a low-tech, low energy water treatment alternative that show potential to adequately treat greywater for nonpotable reuse
•	Despite providing the necessary physical, chemical and biological removal mechanisms for greywater contaminants, removal dynamics are complex and less predictable than more engineered systems
•	Pathogen reductions provided by constructed wetlands alone are likely not reliable enough to meet regulatory standards for reuse, particularly in the US
•	If combined with common disinfection technologies (chlorination, UV) constructed wetlands may be an acceptable, low energy alternative for decentralized, nonpotable reuse. 

This dataset is associated with the following publication:
Arden, S., and C. Ma. Constructed Wetlands for Greywater Recycle and Reuse.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 630: 587-599, (2018).

Tags: constructed-wetlands, greywater-reuse, low-energy-water-treatment, nonpotable-water, pathogen-and-chemical-risks, water-reuse
Organization: U.S. Environmental Protection Agency
Greenspaces and biomarkers of allostatic load

Residential greenness, biomarkers of stress and allostatic load, demographic and health characteristics from 300 subjets. 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: See above. Format: Data are stored in SAS and MS Excel. 

This dataset is associated with the following publication:
Egorov, A., S. Griffin, R. Converse, J. Styles, E. Sams, A. Wilson, L. Jackson, and T. Wade. Vegetated land cover near residence is associated with reduced allostatic load and improved biomarkers of neuroendocrine, metabolic and immune functions.   ENVIRONMENTAL RESEARCH. Academic Press Incorporated, Orlando, FL, USA, 158: 508-21, (2017).

Tags: allostatic-load, greenspace, multiple-stressors
Organization: U.S. Environmental Protection Agency
High-resolution Mass Spectrometry of Skin Mucus for Monitoring Physiological Impacts and Contaminant Biotransformation Products in Fathead Minnows Exposed to Wastewater Effluent

High-resolution mass spectrometry is advantageous for monitoring physiological impacts and contaminant biotransformation products in fish exposed to complex wastewater effluent.  We evaluated this technique using skin mucus from male and female fathead minnows (Pimephales promelas) exposed to control water or treated wastewater effluent at 5%, 20%, and 100% levels for 21 d, using an onsite, flow-through system providing real-time exposure.  Both sex-specific and non-sex-specific responses were observed in the mucus metabolome, the latter suggesting the induction of general compensatory pathways for xenobiotic exposures.  Altogether, 85 statistically significant treatment-dependent metabolite changes were observed and 30 of those annotated with probable structures.  The mummichog software package was used to elucidate impacted biochemical pathways and enhance metabolite annotation.  Partial least squares regression models revealed relationships between the mucus metabolomes and upregulated hepatic mRNA transcripts reported previously for these same fish.  These regression models suggest that mucus metabolomic changes reflected, in part, processes by which the fish biotransformed xenobiotics in the effluent.  Further, we detected a phase II transformation product of bisphenol A in the skin mucus of male fish.  Collectively, these findings demonstrate the utility of mucus as a minimally invasive matrix for simultaneously assessing exposures and effects of real-world mixtures of contaminants. 

This dataset is associated with the following publication:
Mosley, J., D. Ekman, J.E. Cavallin, D. Villeneuve, G. Ankley, and T. Collette. High‐resolution mass spectrometry of skin mucus for monitoring physiological impacts and contaminant biotransformation products in fathead minnows exposed to wastewater effluent.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 37(3): 788-796, (2018).

Tags: biotransformation, complex-mixtures, fish-skin-mucus, metabolomics
Organization: U.S. Environmental Protection Agency
Water stable isotopes data from Pipestem Creek, North Dakota, 2014-2015

Water stable isotope data (hydrogen and oxygen isotopes of H2O) from wetlands and streams within the Pipestem Creek watershed.  This data was collected over two open water seasons (May-September): 2014 and 2015. 

This dataset is associated with the following publication:
Brooks, J.R., D. Mushet, M. Vanderhoof, S. Leibowitz, J. Christensen, B. Neff, D. Rosenberry, W. Rugh, and L. Alexander. Estimating wetland connectivity to streams in the Prairie Pothole Region: an isotopic and remote sensing approach.   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 54(2): 995-977, (2018).

Tags: connectivity, evaporation, stable-isotope-analsis, wetlands
Organization: U.S. Environmental Protection Agency
Indianapolis Research Duplex Total Database

Complete database for research conducted at the EPA's research house in Indianapolis, IN.  Data contained includes weather parameters, sampling dates/times/method, and resultant VOC contaminants. 

This dataset is associated with the following publication:
Lutes, C., R. Truesdale, B. Cosky, J. Zimmerman , and B. Schumacher. Comparing Vapor Intrusion Mitigation System Performance for VOCs and Radon.   Remediation Journal. John Wiley & Sons, Inc., Hoboken, NJ, USA, 25(7): 7-26, (2016).

Tags: mitigation, monitoring, radon, vapor-intrusion
Organization: U.S. Environmental Protection Agency
Spatial pattern data for NLCD 2001-2011 land cover change accuracy

URL: interested users can create a NLCD 2001-2011 Level I change map and apply Equation listed in table 3 of the Open Access paper published in IJRS (https://doi.org/10.1080/01431161.2017.1410298) to replicate results.

Data: excel files of the accuracy assessment results. The data can be used to replicate slope and intercepts reported in IJRS paper. 

This dataset is associated with the following publication:
Wickham, J., S.V. Stehman, and C.G. Homer. Spatial Patterns of NLCD Land Cover Change Thematic Accuracy (2001 - 2011).   INTERNATIONAL JOURNAL OF REMOTE SENSING. Taylor & Francis, Inc., Philadelphia, PA, USA, 39(6): 1729-1743, (2018).

Tags: land-cover-change-accuracy, logistic-regression, nlcd, spatial-modeling
Organization: U.S. Environmental Protection Agency
Links to underwater videos

Data is a video. Meta data in reprint. 

This dataset is associated with the following publication:
Angradi, T. A field observation of rotational feeding by Neogobius melanostomus.   Fishes. MDPI AG, Basel,  SWITZERLAND, 3(1): 1-6, (2018).

Tags: dreissena, great-lakes, round-goby, video
Organization: U.S. Environmental Protection Agency
Use of Bayesian Modeling to Assess Occurrence of Viral Pathogens in Multiple US Drinking Water Systems

Drinking water treatment plants rely on purification of contaminated source waters to provide communities with potable water.  One group of possible contaminants are enteric viruses.  Measurement of viral quantities in environmental water systems are often performed using polymerase chain reaction (PCR) or quantitative PCR (qPCR). However, true values may be underestimated due to challenges involved in a multi-step viral concentration process and due to PCR inhibition.  In this study, water samples were concentrated from 25 drinking water treatment plants (DWTPs) across the US to study the occurrence of enteric viruses in source water and removal after treatment.  The five different types of viruses studied were adenovirus, norovirus GI, norovirus GII, enterovirus, and polyomavirus. Quantitative PCR was performed on all samples to determine presence or absence of these viruses in each sample.  Ten DWTPs showed presence of one or more viruses in source water, with four DWTPs having treated drinking water testing positive.  Furthermore, PCR inhibition was assessed for each sample using an exogenous amplification control, which indicated that all of the DWTP samples, including source and treated water samples, had some level of inhibition, confirming that inhibition plays an important role in PCR-based assessments of environmental samples.   PCR inhibition measurements, viral recovery, and other assessments were incorporated into a Bayesian model to more accurately determine viral load in both source and treated water.  Results of the Bayesian model indicated that viruses are present in source water and treated water.  By using a Bayesian framework that incorporates inhibition, as well as many other parameters that affect viral detection, this study offers an approach for more accurately estimating the occurrence of viral pathogens in environmental waters. 

This dataset is associated with the following publication:
Varughese, E., N. Brinkman, E. Anneken, J. Cashdollar, S. Fout, E. Furlong, D. Kolpin, S. Glassmeyer, and S. Keely. Estimating virus occurrence using Bayesian modeling in multiple drinking water systems of the United States.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 619620: 1330-1339, (2018).

Tags: adenovirus, bayesian-statistics, drinking-water-treatment, enteric-viruses, enterovirus, norovirus
Organization: U.S. Environmental Protection Agency
Greenspace and sudden unexpected death

The attached dataset comprises 187 records, summarized by 2010 census tract. There are 40 variable fields including percent landcover type from the 2011 30m National Land Cover Dataset, density of greenway trails from Wake County (NC) gov't, and demographic attributes from the 2014 American Community Survey.  Two fields reflect count (during 2013-2015) and rate of sudden death; these fields are blank because these human-health data are protected under IRB agreement through UNC.

The EPA/ORD point of contact for this analysis is Dr. Laura Jackson (jackson.laura@epa.gov).  If interested in acessing the Wake County sudden death dataset, please contact Dr. Ross Simpson (ross_simpson@med.unc.edu). 

This dataset is associated with the following publication:
Wu, J., K. Rappazzo, R. Simpson, G. Joodi, I. Pursell, P. Mounsey, W. Cascio, and L. Jackson. Exploring links between greenspace and sudden unexpected death: a spatial analysis.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 113: 114-121, (2018).

Tags: bayesian-spatial-model, forest, greenspace, greenway, near-road-tree-canopy, negative-binomial-model, sudden-unexpected-death, wake-county
Organization: U.S. Environmental Protection Agency
ceilometer normalized backscatter, mixed layer height derived from the backscatter, and radiosondes (t, p, rh, elevation) in Hierarchical Data Format (HDF)

Ceilometer normalized backscatter, mixed layer height derived from the backscatter, and radiosondes (t, p, rh, elevation) in Hierarchical Data Format (HDF). This dataset is not publicly accessible because: Too large. It can be accessed through the following means: Additional data used in this manuscript is available upon request.  The request should be made via email to James Szykman, at szykman.jim@epa.gov.   The additional data includes ceilometer normalized backscatter, mixed layer height derived from the backscatter, and radiosondes (t, p, rh, elevation) in Hierarchical Data Format (HDF). Format: ceilometer normalized backscatter, mixed layer height derived from the backscatter, and radiosondes (t, p, rh, elevation) in Hierarchical Data Format (HDF). 

This dataset is associated with the following publication:
Knepp, T., J. Szykman, R. Long, R. Duvall, J. Krug, M. Beaver, K. Cavender, K. Kronmiller, M. Wheeler, R. Delgado, R. Hoff, T. Berkoff, E. Olson, R. Clark, D. Wolfe, D. Van Gilst, and D. Neil. Assessment of mixed-layer height estimation from single-wavelength ceilometer profiles.   Atmospheric Measurement Techniques. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 10: 3963-3983, (2017).

Tags: boundary-layer-height, ceilometer, mixing-height
Organization: U.S. Environmental Protection Agency
Relationship Between Total and Biaccessible Lead on Children's Blood Lead Levles in Urban Residential Philadelphia Soils.

Relationship Between Total and Biaccessible Lead on Children's Blood Lead Levles in Urban Residential Philadelphia Soils. 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: These data are from a human study collected under IRB protocol:  Institutional Review Board approval was obtained from both the Centers for Disease Control and Prevention (CDC IRB Approval #6611, "John T. Lewis Community Childhood Blood Lead Prevalence and Health Housing) and the Philadelphia Department of Public Health (PDPH). As such, it is a violation of Federal Law to publish them. Format: These data are from a Regional study in Philadelphia.  Institutional Review Board approval was obtained from both the Centers for Disease Control and Prevention and the Philadelphia Department of Public Health (PDPH). 

This dataset is associated with the following publication:
Bradham, K., C. Nelson, J. Kelly, A. Pomales, K. Scruto, T. Dignam, J. Misenheimer, K. Li, D. Obenour, and D. Thomas. Relationship Between Total and Bioaccessible Lead on Children’s Blood Lead Levels in Urban Residential Philadelphia Soils.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51(17): 10005-10011, (2017).

Tags: bioaccessibility, bioavailability, contamination, lead, soil
Organization: U.S. Environmental Protection Agency
Comparison of mouse and swine bioassays for determination of soil arsenic relative bioavailability

Soil samples provided by EPA Regional offices to NERL for methods development based on the agreement that the sample identifiers never be released. 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 public can access the data, which are provided in the publication and presented in tables and figures within the publication. Format: These data were generated from EPA Regional samples.  All of the soil samples were provided by EPA Regional offices to NERL for methods development based on the agreement that the sample identifiers never be released.  There is currently on-going litigation for clean-up of these sites, which requires this information to be protected. 

This dataset is associated with the following publication:
Bradham, K., G. Diamond, A. Juhasz, C. Nelson, and D. Thomas. Comparison of mouse and swine bioassays for determination of soil arsenic relative bioavailability.   APPLIED GEOCHEMISTRY. Elsevier Science Ltd, New York, NY, USA, 88: 221-225, (2018).

Tags: arsenic, bioavailability, contamination, rish-assessment, soil
Organization: U.S. Environmental Protection Agency
Soil As and Pb Levels and Plant Uptake in Three Gardens in Puerto Rico

Total and bioaccessible arsenic and lead levels and plant uptake in garden plants from Puerto Rico. 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 public can access the non personally identifiable data through the journal (Geosciences) publisher (MDPI).  The journal is open access and does not require a subscription. Format: These data were generated from EPA Regional plant and soil samples. 

This dataset is associated with the following publication:
Misenheimer, J., C. Nelson, E. Huertas, M. Medina-Vera, A. Prevatte, and K. Bradham. Total and Bioaccessible Soil Arsenic and Lead Levels and Plant Uptake in Three Urban Community Gardens in Puerto Rico.   Geosciences. MDPI AG, Basel,  SWITZERLAND, 8(2): 43, (2018).

Tags: arsenic, bioaccessibility, bioaccumulation-factor, lead, plant-uptake, puerto-rico, risk-assessment, soil, urban-garden, urban-gardens
Organization: U.S. Environmental Protection Agency
Relating soil geochemical properties to arsenic bioaccessibility

soil element total concentration, soil pH and arsenic bioaccessibility values. 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 public can access the non personally identifiable data through the journal publisher if they have a subscription or other means to access journal articles from this publisher (Journal of Toxicology and Environmental Health). They can not access the personally identifiable/protected info. Format: These data were generated from EPA Regional samples. 

This dataset is associated with the following publication:
Nelson, C., K. Li, D. Obenour, J. Miller, J. Misenheimer, K. Scheckel, A. Betts, A. Juhasz, D. Thomas, and K. Bradham. Relating soil geochemical properties to arsenic bioaccessibility through hierarchical modeling..   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A:  CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 81(6): 160-172, (2018).

Tags: arsenic, bioaccessibility, properties, soil
Organization: U.S. Environmental Protection Agency
Influence of Coal Ash Leachates and Emergent Macrophytes on Water Quality in Wetland Microcosms

Influence of Coal Ash Leachates and Emergent Macrophytes on Water Quality in Wetland Microcosms. 

This dataset is associated with the following publication:
Olson, L., J. Misenheimer, C. Nelson, K. Bradham, and C. Richardson. Influences of Coal Ash Leachates and Emergent Macrophytes on Water Quality in Wetland Microcosms.   WATER, AIR AND SOIL POLLUTION:FOCUS. Springer, New York, NY, USA, 228: 344, (2017).

Tags: coal-combustion-residues, fly-ash, phytoremediation, wetland
Organization: U.S. Environmental Protection Agency
Guiyang_PM2.5_speciation_data_DOI_10.1007/s11631-017-0248-1

ED-XRF inorganic speciation of PM2.5 in Guiyang, China. 

This dataset is associated with the following publication:
Liang, L., N. Liu, M. Landis, X. Xu, X. Feng, Z. Chen, L. Shang, and G. Qiu. Chemical characterization and sources of PM2.5 at 12-h resolution in Guiyang, China.   Acta Geochimica. Springer, Heidelburg,  GERMANY, 37(2): 334-345, (2018).

Tags: pm2-5, source-apportionment, trace-elements
Organization: U.S. Environmental Protection Agency