The mission of EPA is to protect human health and the environment. EPA works to ensure that: Americans have clean air, land and water; National efforts to reduce environmental risks are based on the best available scientific information; Federal laws protecting human health and the environment are administered and enforced fairly, effectively and as Congress intended; Environmental stewardship is integral to U.S. policies concerning natural resources, human health, economic growth, energy, transportation, agriculture, industry, and international trade, and these factors are similarly considered in establishing environmental policy; All parts of society--communities, individuals, businesses, and state, local and tribal governments--have access to accurate information sufficient to effectively participate in managing human health and environmental risks; Contaminated lands and toxic sites are cleaned up by potentially responsible parties and revitalized; and Chemicals in the marketplace are reviewed for safety.
- CMAQv5.1 Base NEIv1 AQS hourly sitex files containing hourly paired model/ob data for the AQS network. This dataset is associated with the following publication: Appel, W., S. Napelenok, K. Foley, H. Pye, C. Hogrefe, D. Luecken, J. Bash, S. Roselle, J. Pleim, H. Foroutan, B. Hutzell, G. Pouliot, G. Sarwar, K. Fahey, B. Gantt, D. Kang, R. Mathur, D. Schwede, T. Spero, D. Wong, J. Young, and N. Heath. Description and evaluation of the Community Multiscale Air Quality (CMAQ) modeling system version 5.1. Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau, GERMANY, 10: 1703-1732, (2017).1Licence not specifiedover 2 years ago
- The US Environmental Protection Agency’s (EPA) Distributed Structure-Searchable Toxicity (DSSTox) database, launched publicly in 2004, currently exceeds 875 K substances spanning hundreds of lists of interest to EPA and environmental researchers. From its inception, DSSTox has focused curation efforts on resolving chemical identifier errors and conflicts in the public domain towards the goal of assigning accurate chemical structures to data and lists of importance to the environmental research and regulatory community. In 2014, the legacy, manually curated DSSTox_V1 content was migrated to a MySQL data model, with modern cheminformatics tools supporting both manual and automated curation processes to increase efficiencies. Currently, DSSTox serves as the core foundation of EPA’s CompTox Chemicals Dashboard [https://comptox.epa.gov/dashboard], which provides public access to DSSTox content in support of a broad range of modeling and research activities within EPA and, increasingly, across the field of computational toxicology. This dataset is associated with the following publication: Grulke, C., A. Williams, I. Thillainadarajah, and A. Richard. EPA’s DSSTox database: History of development of a curated chemistry resource supporting computational toxicology research. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 12: 100096, (2019).1Licence not specifiedover 2 years ago
- This data are composed of precipitation, wetland water depth, volumetric soil moisture, nitrogen and carbon concentrations measured into and out of a wetland, and model computed soil moisture content as well as nitrogen and carbon loading from the wetland. The wetland is a restored treatment wetland, located in Kent Island, MD. This dataset is associated with the following publication: Sharifi, A., M. Hantush, and L. Kalin. Modeling Nitrogen and Carbon Dynamics in Wetland Soils and Water Using Mechanistic Wetland Model. Rao S. Govindaraju Journal of Hydrologic Engineering. American Society of Civil Engineers (ASCE), Reston, VA, USA, 22(1): 1-18, (2017).1Licence not specifiedover 2 years ago
- Description is included with the dataset. This dataset is associated with the following publication: Mutlu, E., S. Warren , S. Ebersviller , I. Kooter, J. Schmid , J. Dye , B. Linak , I. Gilmour , J. Jetter , M. Higuchi , and D. DeMarini. Mutagenicity- and Pollutant-Emission Factors of Solid-Fuel Cookstoves: Comparison to Other Combustion Sources. ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 124: 974-982, (2016).1Licence not specifiedover 2 years ago
- Pictures of live/dead Legionella pneumophila under confocal microscope before and after treatment. This dataset is associated with the following publication: Oh, Y., R. Noga, V. Shanov, H. Ryu, H. Chandra, B. Yadav, J. Yadav, and S. Chae. Simultaneous Separation and Inactivation of Legionella pneumophila using Electrically Heatable Carbon Nanotube Sheet Composite Membranes. Chemical Engineering Journal. Elsevier BV, AMSTERDAM, NETHERLANDS, 366: 21-26, (2019).1Licence not specifiedover 2 years ago
- Data for Tables and Figures in Journal of AWWA Manuscript. This dataset is associated with the following publication: Patterson, C., J. Burkhardt, D. Schupp, E.R. Krishnan, S. Dyment, S. Merritt, L. Zintek, and D. Kleinmaier. Effectiveness of Point-of-Use/Point-of-Entry Systems to Remove Select Per- and Poly- fluoroalkyl Substances from Drinking Water - ANP - journal article. Journal AWWA. American Water Works Association, Denver, CO, USA, 1(2): 12, (2019).1Licence not specifiedover 2 years ago
- We compiled macroinvertebrate assemblage data collected from 1995 to 2014 from the St. Louis River Area of Concern (AOC) of western Lake Superior. Our objective was to define depth-adjusted cutoff values for benthos condition classes (poor, fair, reference) to provide tool useful for assessing progress toward achieving removal targets for the degraded benthos beneficial use impairment in the AOC. The relationship between depth and benthos metrics was wedge-shaped. We therefore used quantile regression to model the limiting effect of depth on selected benthos metrics, including taxa richness, percent non-oligochaete individuals, combined percent Ephemeroptera, Trichoptera, and Odonata individuals, and density of ephemerid mayfly nymphs (Hexagenia). We created a scaled trimetric index from the first three metrics. Metric values at or above the 90th percentile quantile regression model prediction were defined as reference condition for that depth. We set the cutoff between poor and fair condition as the 50th percentile model prediction. We examined sampler type, exposure, geographic zone of the AOC, and substrate type for confounding effects. Based on these analyses we combined data across sampler type and exposure classes and created separate models for each geographic zone. We used the resulting condition class cutoff values to assess the relative benthic condition for three habitat restoration project areas. The depth-limited pattern of ephemerid abundance we observed in the St. Louis River AOC also occurred elsewhere in the Great Lakes. We provide tabulated model predictions for application of our depth-adjusted condition class cutoff values to new sample data. This dataset is associated with the following publication: Angradi, T., W. Bartsch, A. Trebitz, V. Brady, and J. Launspach. A depth-adjusted ambient distribution approach for setting numeric removal targets for a Great Lakes Area of Concern beneficial use impairment: Degraded benthos. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 43(1): 108-120, (2017).1Licence not specifiedover 2 years ago
- The fasta files (Genome_Set01.zip) contain the reference-assisted de novo assemblies (as contigs) of four Campylobacter spp. isolates. The table contains rows as isolates (yellow) and columns as attributes (green) for each individual genome. This dataset is associated with the following publication: Gomez-Alvarez, V., N. Ashbolt, J. Griffith, J. Santo Domingo, and J. Lu. Whole-Genome Sequencing of Four Campylobacter strains Isolated from Gull Excreta collected from Hobie Beach (Oxnard, CA, USA). Microbiology Resource Announcements. American Society for Microbiology, Washington, DC, USA, 8(32): e00560-19, (2019).1Licence not specifiedover 2 years ago
- Supporting data for figures and tables in publication. See Readme file. This dataset is associated with the following publication: Beedlow, P., R. Waschmann, E. Lee, and D.T. Tingey. Seasonal patterns of bole water content in old growth Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco). AGRICULTURAL AND FOREST METEOROLOGY. Elsevier Science Ltd, New York, NY, USA, 242: 109-119, (2017).1Licence not specifiedover 2 years ago
- The objective of this study was to evaluate the leachate conductivity generated by overburden materials in a columns test representing the surface coal mining conditions and its correlation with cations, anions, pH, and alkalinity in two scenarios: “Altered” and “Unaltered” with the application of the screening and segregation proposed method. . For the Unaltered scenario, all strata were included; while the Altered scenario excluded the overburden strata with the highest 15% conductivities measured in the screening-level assessment. The 15% selection criterion was based on the best professional judgment that this would be a reasonable overburden quantity to be selectively identified and isolated in a surface coal mining operation. This dataset is associated with the following publication: Pinto, P., S. Al-Abed , C. Holder, R. Warner, J. McKernan , S. Fulton, and E. Somerville. Assessing the Impact of Removing Select Materials from Coal Mine Overburden, Central Appalachia Region, USA. Robert Kleinmann Mine Water and the Environment. Springer-Verlag, BERLIN-HEIDELBERG, GERMANY, 37(1): 31-41, (2018).1Licence not specifiedover 2 years ago
- The calculation of emissions factors used to estimate carbon stock changes for coastal wetland areas in the US. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.1Licence not specifiedover 2 years ago
- Optical Gas Imaging (OGI) is an important next generation emission measurement (NGEM) technique for finding fugitive industrial emissions (leaks) of methane and volatile organic compounds. The ability of OGI to detect leaks depends on many factors including the skill and training of the OGI operator. This dataset was produced at the Colorado State University Methane Emissions Test and Evaluation Center (METEC) where simulated leaks of various sizes from oil and gas production equipment could be generated. Dozens of OGI operators from different organizations with various levels of experience participated in a test series to establish their ability to detect leaks under varying conditions using the protocols and procedures they normally employ. This dataset contains the results from this test series. The associated journal article advances understanding of OGI methods and training using these data. This dataset is associated with the following publication: Zimmerle, D., T. Vaughn, C. Bell, K. Bennett, E. Thoma, J. Dewees, and P. Deshmukh. Detection Limits of Optical Gas Imaging for Natural Gas Leak Detection in Realistic Controlled Conditions August 2020. JOURNAL OF THE AMERICAN CHEMICAL SOCIETY. American Chemical Society, Washington, DC, USA, 54: 18, (2020).1Licence not specifiedover 2 years ago
- The sims zip file contains R code and accompanying files needed to run the R code. Overall this code demonstrates the R code used in the study is fully functional, documented, and reproducible and that this code could reproduce the simulation results from the study with sufficient computing time. The code as presented is for a single simulated dataset and will produce estimates and confidence intervals produced by all the methods used within the study when run on that one dataset. This dataset is associated with the following publication: Nethery, R., F. Mealli, J. Sacks, and F. Dominici. Evaluation of the Health Impacts of the 1990 Clean Air Act Amendments Using Causal Inference and Machine Learning. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION. Taylor & Francis Group, London, UK, 1-12, (2020).1Licence not specifiedover 2 years ago
- The dataset contains the coverages used in the analysis including such things as shp files. This dataset is associated with the following publication: Scown, M., J. Flotemersch, T. Spanbauer, T. Eason, A. Garmestani, and B. Chaffin. People and water: Exploring the social-ecological condition of watersheds of the United States. Elementa: Science of the Anthropocene. University of California Press (UC Press), Oakland, CA, USA, 5(64): 1-12, (2017).1Licence not specifiedover 2 years ago
- The dataset contains the first draft genome sequence of the type strain of Mycobacterium chimaera, Fl-0169. This dataset is associated with the following publication: Pfaller, S., V. Tokarev, C. Kessler, C. McLimans, V. Gomez-Alvarez, J. Wright, D. King, and R. Lamendella. Draft Genome Sequence of Mycobacterium chimaera Type Strain Fl-0169. Genome Announcements. American Society for Microbiology, Washington, DC, USA, 5(8): e01620-16, (2017).1Licence not specifiedover 2 years ago
- Triclosan data from Hershberger experiment using castrated male rats. Data includes accessory sex tissue mean weights and thyroid gland weight following exposure to triclosan for 10 days both with and without testosterone stimulation. Also included are the thyroxine hormone means in these males. In addition, mean data on the in vitro adrenocortical cells for steroid hormone production (testosterone and estradiol) with a dose response of triclosan. This dataset is associated with the following publication: Farmer, W., G. Louis, A. Buckalew, D. Hallinger, and T. Stoker. Evaluation of Triclosan in the Hershberger and H295R Steroidogenesis Assays. TOXICOLOGY LETTERS. Elsevier Science Ltd, New York, NY, USA, 194-199, (2018).1Licence not specifiedover 2 years ago
- No dataset available. This dataset is not publicly accessible because: The dataset was never touched by EPA employees. Data was collected, analyzed, and maintained solely by non-EPA collaborators. It can be accessed through the following means: Dataset can be accessed by contacting the senior PI on the research effort, Kristina Whitworth (Kristina.W.Whitworth@uth.tmc.edu). Format: Dataset was handled solely by non-EPA collaborators on this research effort. EPA employee role on this research effort was purely advisory. This dataset is associated with the following publication: Misra, A., M. Longnecker, K. Dionisio, R. Bornman, G. Travlos, S. Brar, and K. Whitworth. Household fuel use and biomarkers of inflammation and respiratory illness among rural South African Women. ENVIRONMENTAL RESEARCH. Academic Press Incorporated, Orlando, FL, USA, 166: 112-116, (2018).1Licence not specifiedover 2 years ago
- This data is a large suite of coincident surface water observations for many different physical, chemical, and biological properties of the water in a reservoir in Southwest Ohio (Harsha Lake) at the time a flyover occurred to take hyperspectral images of the lake’s surface. 44 sites were visited across the reservoir within 2 hours. The data could be useful to others with interest in remote sensing of water quality or studying spatial patterns of water quality at one particular point in time. This dataset is associated with the following publication: Beck, R., M. Xu, S. Zhan, R. Johansen, E. Emery, M. Reif, C. Nietch, D. Macke, R. Stumpf, and M. Martin. Comparison of Satellite Reflectance Algorithms for Estimating Turbidity and Cyanobacterial Concentrations in Productive Freshwaters Using Hyperspectral Aircraft Imagery and Dense Coincident Surface Observations. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 45(3): 413-433, (2019).1Licence not specifiedover 2 years ago
- Precision data from the SEM and SEM images from the samples. This dataset is associated with the following publication: Peters, T., E. Sawvel, R. Willis, R. West, and G. Casuccio. Performance of Passive Samplers Analyzed by Computer Controlled Scanning Electron Microscopy to Measure PM10-2.5. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 50(0): 7581-7589, (2016).1Licence not specifiedover 2 years ago
- Percent abundance of 109 diatom species collected from a Foy Lake (Montana, USA) sediment core that was sampled every ∼5–20 years, yielding a ∼7 kyr record over 800 time-steps. This dataset is associated with the following publication: Angeler, D., T. Eason, A. Garmestani, T. Spanbauer, and C. Allen. Assessing cross-scale patterns and the composition of ecological communities of alternative lake regimes. PLoS ONE. Public Library of Science, San Francisco, CA, USA, 01, (2018).1Licence not specifiedover 2 years ago
- The USEPA participated in the 2015 Cooperative Science and Monitoring Initiative (CSMI) focus year for Lake Michigan. This work is describd here: http://www.iiseagrant.org/pdf/LakeMichiganCSMI2015FullReport.pdf As a small sub-component of this work EPA staff collected water quality data at the locations listed in grand_musk_tp.csv. The fields in grand_musk_tp.csv are described in grand_musk_tp.metadata.csv. This data was collected to support (provide validation data for) EPA nearshore nutrient modeling work described in the paper (in prep.) “Nearshore Nutrient Circulation in the Great Lakes - can a simple model provide transparency and utility?”.1Licence not specifiedover 2 years ago
- This data is for 60 water quality monitoring sites in the Right Fork of Beaver Creek watershed in Eastern Kentucky where specific conductivity (SC) was measured quarterly for two years from December 2012 to August 2014. SC was modeled as a function of land use covariates and spatial autocorrelation between sites on the stream network, and by doing so we could compare predictions of the average SC for different portions of the network and identify areas of low and high SC. The htmls files can be opened with a browser such as Internet Explorer or Chrome. This dataset is associated with the following publication: McManus, M., E. DAmico, E. Smith, R. Polinsky, J. Ackerman, and K. Tyler. Variation in stream network relationships and geospatial predictions of watershed conductivity. Freshwater Science. The Society for Freshwater Science, Springfield, IL, 39(4): 1-18, (2020).1Licence not specifiedover 2 years ago
- This data is for 60 water quality monitoring sites in the Right Fork of Beaver Creek watershed in Eastern Kentucky where specific conductivity (SC) was measured quarterly for two years from December 2012 to August 2014. SC was modeled as a function of land use covariates and spatial autocorrelation between sites on the stream network, and by doing so we could compare predictions of the average SC for different portions of the network and identify areas of low and high SC. The htmls files can be opened with a browser such as Internet Explorer or Chrome. This dataset is associated with the following publication: McManus, M., E. DAmico, E. Smith, R. Polinsky, J. Ackerman, and K. Tyler. Variation in stream network relationships and geospatial predictions of watershed conductivity. Freshwater Science. The Society for Freshwater Science, Springfield, IL, 39(4): 1-18, (2020).1Licence not specifiedover 2 years ago
- Description is in the data set. This dataset is associated with the following publication: Mutlu, E., S. Warren , P. Matthews, C. King , L. Walsh , A. Kligerman, J. Schmid , D. Janek, I. Kooter, B. Linak , I. Gilmour , and D. DeMarini. Health Effects of Soy-Biodiesel Emissions: Mutagenicity-Emission Factors. INHALATION TOXICOLOGY. Informa Healthcare USA, New York, NY, USA, 27(11): 585-596, (2015).1Licence not specifiedover 2 years ago
- Leaf level oak isoprene emissions and co2/H2O exchange in the Ozarks, USA BAGeron.csv is the speciated biomass displayed in Figure 1. Biomass Dry Weights.xlsx is used to convert leaf area to dry leaf biomass and is used in Figure 2. Daly Ozarks leaf ISOP.txt and MOFLUX_Isoprene Summary_refined Tcurve data.xlsx are the leaf isoprene emission rate files shown in Figure 2. Harley Aug12_Chris.xls is the leaf isoprene emission rate file shown in Figure 3. Daly Ozarks leaf.txt is the BVOC emissions file used for Figure 7 and Table 4. Drought IS.txt is the review data given in Table 2. Fig4 Aug10 2012 Harley.txt is shown in Figure 4. Fig 5 Aug14 2012 Harley.txt is shown in Figure 5. Daly Ozarks Leaf.txt is used in Fig 7. Drought IS.txt is used in Fig 8. This dataset is associated with the following publication: Geron , C., R. Daly , P. Harley, R. Rasmussen, R. Seco, A. Guenther, T. Karl, and L. Gu. Large Drought-Induced Variations in Oak Leaf Volatile Organic Compound Emissions during PINOT NOIR 2012. CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 146: 8-21, (2016).1Licence not specifiedover 2 years ago
- This file contains a link for Gene Expression Omnibus and the GSE designations for the publicly available gene expression data used in the study and reflected in Figures 6 and 7 for the Das et al., 2016 paper. This dataset is associated with the following publication: Das, K., C. Wood, M. Lin, A.A. Starkov, C. Lau, K.B. Wallace, C. Corton, and B. Abbott. Perfluoroalky acids-induced liver steatosis: Effects on genes controlling lipid homeostasis. TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 378: 32-52, (2017).1Licence not specifiedover 2 years ago
- Sample1m are the data used to estimate the Negative Binomial models. The validation dataset compares classified photographs with viewshed estimates of visible land use/cover. This dataset is associated with the following publication: VanBerkel, D., P. Tabrizian, M.A. Dorning, L. Smart, D. Newcomb, M. Mehaffey, A. Neale, and R.K. Meentemeyer. Quantifying the visual-sensory landscape qualities that contribute to cultural ecosystem services using social media and LiDAR. Ecosystem Services. Elsevier Online, New York, NY, USA, 31: 326-335, (2018).1Licence not specifiedover 2 years ago
- Datasets used in ORD-025118: Using a Gene Expression Biomarker to Identify DNA Damage-Inducing Agents in Microarray Profiles. This dataset is associated with the following publication: Corton, C., A. Williams, and C. Yauk. Using a Gene Expression Biomarker to Identify DNA Damage-Inducing Agents in Microarray Profiles. ENVIRONMENTAL AND MOLECULAR MUTAGENESIS. John Wiley & Sons, Inc, Hoboken, NJ, USA, 59(9): 772-784, (2018).1Licence not specifiedover 2 years ago
- This dataset contains Decisions and Orders originating from EPAs Office of Administrative Law Judges (OALJ), which is an independent office in the Office of the Administrator of the EPA. The Administrative Law Judges conduct hearings and render decisions in proceedings between the EPA and persons, businesses, government entities, and other organizations which are or are alleged to be regulated under environmental laws. Administrative Law Judges preside in enforcement and permit proceedings in accordance with the Administrative Procedure Act. Most enforcement actions initiated by the EPA are for the assessment of civil penalties. The Decisions and Orders are organized into three categories: (1) alphabetical listing by the respondent involved, (2) reverse chronological listing by date, and (3) Decisions and Orders under FIFRA Section 6. This dataset includes Decisions and Orders dating back to 1989 in the Reverse Chronological list, Decisions and Orders dating back to 1997 in the Alphabetical list, and a few Decisions and Orders dating back to 1974 under FIFRA Section 6.1Licence not specifiedover 2 years ago
- The dataset contains all Tables and Figures in Excel spreadsheets. This dataset is associated with the following publication: Salih, H., C. Patterson, J. Li, J. Mock, and S. Dastgheib. Utilization of water utility lime sludge for flue gas desulfurization in coal-fired power plants: Part I. Supply-demand evaluation and life cycle assessment. ENERGY AND FUELS. American Chemical Society, Washington, DC, USA, 32(6): 6627-6633, (2018).1Licence not specifiedover 2 years ago
- ACONC files containing simulated ozone and PM2.5 fields that were used to create the model difference plots shown in the journal article. This dataset is associated with the following publication: Appel, W., S. Napelenok, K. Foley, H. Pye, C. Hogrefe, D. Luecken, J. Bash, S. Roselle, J. Pleim, H. Foroutan, B. Hutzell, G. Pouliot, G. Sarwar, K. Fahey, B. Gantt, D. Kang, R. Mathur, D. Schwede, T. Spero, D. Wong, J. Young, and N. Heath. Description and evaluation of the Community Multiscale Air Quality (CMAQ) modeling system version 5.1. Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau, GERMANY, 10: 1703-1732, (2017).1Licence not specifiedover 2 years ago
- This file presents physicochemical properties of soils, house dusts, PCBs, and the bioaccessibility values calculated from the analysis of PCBs in the soils, house dusts, and synthetic digestive fluids. Bioaccessibility values were calculated using the ratio of the analyte in the sediment relative to that in the digestive fluids. The first tab in the excel spreadsheet is the data dictionary and contains the meta data (column headings and fields). The second tab contains the soil/dust/PCB physicochemical properties and the associated bioaccessibility values. This dataset is associated with the following publication: Shen, H., W. Li, S. Graham, and J. Starr. The role of soil and house dust physicochemical properties in determining the post ingestion bioaccessibility of sorbed polychlorinated biphenyls. CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 217: 1-8, (2019).1Licence not specifiedover 2 years ago
- Data include: trans-epithelial electrical resistance, FITC-dextran permeability, cell viability and gene expression (RNA and protein). This dataset is associated with the following publication: Faber, S., N. McNabb, P. Ariel, E. Aungst, and S. McCullough. Exposure Effects Beyond the Epithelial Barrier: Trans-Epithelial Induction of Oxidative Stress by Diesel Exhaust Particulates in Lung Fibroblasts in an Organotypic Human Airway Model. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 177(1): 140-155, (2020).1Licence not specifiedover 2 years ago
- The dataset includes the draft main paper and supporting information file to be submitted to the journal, and also excel spread sheets containing the raw data which backs up the processed data used in the paper and supporting information file. Data include exposure characterization (temperature, RH, pollutant levels, etc.), physiology data, serum data, lung inflammation data, viral burden data, PCR data, blood data, lung pathology data, and other miscellaneous data. All the column headings and other relevant definitions and information are included in the data sets, and match the relevant data in the paper to be submitted. This dataset is associated with the following publication: Hargrove, M., S. Snow, R. Luebke, C. Wood, J. Krug, T. Krantz, C. King, C. Copeland, S. McCullough, K. Gowdy, U. Kodavanti, I. Gilmour, and S. Gavett. Effects of Simulated Smog Atmospheres in Rodent Models of Metabolic and Immunologic Dysfunction. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(5): 3062-3070, (2018).1Licence not specifiedover 2 years ago
- Lake hydrologic characteristics derived from water stable isotope values that include evaporation-to-inflow ratio and water residence time. This dataset is associated with the following publication: Fergus, E., J.R. Brooks, P. Kaufmann, A. Herlihy, A. Pollard, M. Weber, and S. Paulsen. Lake Water Levels and Associated Hydrologic Characteristics in the Conterminous U.S.. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 56(3): 450-471, (2020).1Licence not specifiedover 2 years ago
- The East Fork data and the methods used to calibrated the model are detailed in the attached previously published EPA report1Licence not specifiedover 2 years ago
- Counts of ecosystem service status (provided, altered, and lost/absent) during three hydrological phases (flowing, pool, dry) typically seen in intermittent rivers and ephemeral streams. The ecosystem services follow the Common International Classification of Ecosystem Services (CICES) version 4.3 across three broad categories of services (provisioning, regulating and cultural). Table 1 details these ecosystem services and how these may be altered when transitioned from flowing to pool or dry phases. This dataset is associated with the following publication: Datry, T., A. Boulton, N. Bonada, K. Fritz, C. Leigh, E. Sauquet, K. Tockner, B. Hugueny, and C. Dahm. Flow intermittence and ecosystem services in rivers of the Anthropocene. Journal of Applied Ecology. Blackwell Publishing, Malden, MA, USA, 55(1): 353-364, (2018).1Licence not specifiedover 2 years ago
- This data is stream flow and nutrient data (dissolved inorganic nitrogen and total phosphorus) for 6 sites in the Shepherd Creek watershed, Cincinnati, OH. The data could be useful to others with interest in studying nutrient loading in small streams draining suburban hillslopes. This dataset is associated with the following publication: Riasi, S., A. Teklitz, W. Shuster, C. Nietch, and L. Yeghiazarian. Reliability-Based Water Quality Assessment with Load Resistance Factor Design: Application to TMDL. Journal of Hydrologic Engineering. American Society of Civil Engineers (ASCE), Reston, VA, USA, 23(12): 1943-5584, (2018).1Licence not specifiedover 2 years ago
- Amphibian metabolite data used in Snyder, M.N., Henderson, W.M., Glinski, D.G., Purucker, S. T., 2017. Biomarker analysis of american toad (Anaxyrus americanus) and grey tree frog (Hyla versicolor) tadpoles following exposure to atrazine. Aquatic Toxicology, 182(184-193). doi: 10.1016/j.aquatox.2016.11.018. This dataset is associated with the following publication: Snyder, M., M. Henderson, D. Glinski, and T. Purucker. Biomarker analysis of American toad (Anaxyrus americanus) and grey tree frog (Hyla versicolor) tadpoles following exposure to atrazine.. AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 182: 184-193, (2017).1Licence not specifiedover 2 years ago
- Three tables are provided of US commercial waste generation by NAICS codes for (1) Commercial non-hazardous waste (non-construction), (2) Commercial non-hazardous waste from construction, and (3) Commercial RCRA hazardous waste. The unique waste types within these three tables are defined in referenced sources. These national totals by NAICS are mapped to BEA (NAICS-based) detailed industries (388 total) from the BEA 2007 benchmark input-output tables. A crosswalk table is provided. Three satellite tables for the USEEIO model are provided using the mapped national waste totals and the industry gross output for the data year for that BEA industry after it has been adjusted to 2013 USD using the BEA industry-specific chain price index. See the associated manuscript for more details. The satellite table files are formatted for use in the USEEIO modeling framework (http://github.com/USEPA/useeio/) to incorporate into a USEEIO model. This dataset is associated with the following publication: Meyer, D.E., M. Li, and W.W. Ingwersen. Analyzing economy-scale solid waste generation using the United States environmentally-extended input-output model. Resources, Conservation and Recycling. Elsevier Science BV, Amsterdam, NETHERLANDS, 157: 104795, (2020).1Licence not specifiedover 2 years ago
- Web Based Training for Integrated Compliance Information System Updated Compliance Monitoring Training for ICIS Federal Enforcement and Compliance User. This training goes through the changes in the screens for the application.1Licence not specifiedover 2 years ago
- Pulmonary effects to ozone with rats that have chronically exercised or have been continuously sedentary. Also includes body composition of both groups throughout experimentation. This dataset is associated with the following publication: Gordon , C., P. Phillips , T. Beasley , A. Ledbetter , A. Cenk, U. Kodavanti , and A. Johnstone. Pulmonary Sensitivity to Ozone Exposure in Sedentary Versus Chronically Trained, Female Rats. INHALATION TOXICOLOGY. Informa Healthcare USA, New York, NY, USA, 293-302, (2016).1Licence not specifiedover 2 years ago
- Data consists of health and survey data from epidemiological studies at beach sites and water quality measurements. 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: Data can be accessed by request to Tim Wade: wade.tim@epa.gov. Format: Data are stored in comma delimited text files with codebooks in MS Word. This dataset is associated with the following publication: Benjamin-Chung, J., B. Arnold, T. Wade, K. Schiff, J. Griffith, A. Dufour, S. Weisberg, and J. Colford. Coliphages and gastrointestinal illness in recreational waters: pooled analysis of six coastal beach cohorts. EPIDEMIOLOGY. Lippincott Williams & Wilkins, Philadelphia, PA, USA, 28(5): 644-652, (2017).1Licence not specifiedover 2 years ago
- The EnviroAtlas metrics of green space and natural environment selected to compute a Community EcoHealth Index. This dataset is associated with the following publication: Cochran, F., L. Jackson, A. Neale, J. Lovette, and L. Tran. A Community EcoHealth Index from EnviroAtlas Ecosystem Services Metrics. International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel, SWITZERLAND, 16(15): 2760, (2019).1Licence not specifiedover 2 years ago
- This dataset contains a summary of compounds found in human urine samples. 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 original dataset contains identification information for the sample subjects and all of their descriptors including age, gender, race, and medical screening information. The analyzed data cannot be made publicly available. Format: This dataset contains a summary of compounds found in human urine samples. This dataset is associated with the following publication: O’Lenick, C., J. Pleil, M. Stiegel, J. Sobus, and A. Wallace. Detection and analysis of endogenous polar volatile organic compounds (PVOCs) in urine for human exposome research. BIOMARKERS. Taylor & Francis, Inc., Philadelphia, PA, USA, 24(3): 240-248, (2019).1Licence not specifiedover 2 years ago
- Over 50,000 individual level data of behaviors, illnesses, demographics from beachgoers across the United States. 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: Contact Tim Wade (wade.tim@epa.gov). Format: Data are stored in SAS data files and delimited text files. Codebooks with descriptions of each of the variables are available. This dataset is associated with the following publication: Deflorio-Barker, S., D. Holman, R. Landolfi, B. Arnold, J. Colford, S. Weisberg, K. Schiff, E. Sams, and T. Wade. Incidence and Public Health Burden of Sunburn Among Beachgoers in the United States#. Preventive Medicine. Elsevier Online, New York, NY, USA, 134: 106047, (2020).1Licence not specifiedover 2 years ago
- Datasets describing bulk and speciated water soluble organic nitrogen and carbon species in 24 hour high volume PM samples. This dataset is associated with the following publication: Chen, X., X. Mingjie, M. Hays, E. Eric, D. Schwede, and J. Walker. Characterization of organic nitrogen in aerosols at a forest site in the southern Appalachian Mountains May 2018. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, issue}: 6829-6846, (2018).1Licence not specifiedover 2 years ago
- 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).1Licence not specifiedover 2 years ago
- All international travel requires an International Travel Plan (ITP) approved by the traveler's Regional / Assistant Administrator as well as the Assistant Administrator of OITA. FIAT, a Oracle APEX based database, is the electronic process that tracks and monitors the international travel approval process. The system allows all users to monitor the movement of their international travel request throughout the entire process.1Licence not specifiedover 2 years ago
- Characterization of 100 chemicals for electrophillic potential using Hard and Soft Acid and Bases theory. The chemicals were ranked for electrophillic potential and a group of chemicals within a range of electrophillic values were identified as having properties similar to other neurotoxicants. This dataset is associated with the following publication: Melnikov, F., B. Geohagen, T. Gavin, R. LoPachin, P. Anastas, P. Coish, and D. Herr. Application of the Hard and Soft, Acids and Bases (HSAB) Theory as a Method to Predict Cumulative Neurotoxicity. NEUROTOXICOLOGY. Elsevier B.V., Amsterdam, NETHERLANDS, 79: 95-103, (2020).1Licence not specifiedover 2 years ago
- The associated excel files hold the cost predictions for nitrate and perchlorate treatment based on a series of assumptions outlined in the paper. No experimental data was generated in this project. This dataset is associated with the following publication: Latham , M. SSWR FY14 Output Summary Report: Performance information and design tools are developed for innovative technologies and approaches for Small Drinking Water and Wastewater Systems. U.S. Environmental Protection Agency, Washington, DC, USA.1Licence not specifiedover 2 years ago
- The data set contains a summary of all measurements that were collected at the cottage grove reservoir over the time period of the study. This dataset is associated with the following publication: Eckley, C., T. Luxton, J. Goetz, and J. McKernan. Water-level fluctuations influence sediment porewater chemistry and methylmercury production in a flood-control reservoir.. David Carpenter, and Eddy Zeng ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 222: 32-41, (2017).1Licence not specifiedover 2 years ago
- FASTA files containing the sequence data and for Assembled contigs (FastA), Predicted genes (FastA), Predicted proteins (FastA), Gene prediction (GFF v2). This dataset is not publicly accessible because: These are sequences that have already been deposited in publicly available databases and therefore we can avoid replication. Also the data is quite large and there are numerous files associated with these entries, which are included in the links below. It can be accessed through the following means: Using the following web links https://www.ncbi.nlm.nih.gov/bioproject/PRJNA299404 https://trace.ncbi.nlm.nih.gov/Traces/sra/?study=SRP065069 http://enve-omics.ce.gatech.edu/data/showerheads. Format: The data represent genome sequencing and assembly of 180 different contigs. This dataset is associated with the following publication: Soto-Giron, M.J., L. Rodriguez, C. Luo , M. Elk, H. Ryu, J. Santodomingo , and K. Konstantinidis. Biofilms on Hospital Shower Hoses: Characterization and Implications for Nosocomial Infections. APPLIED AND ENVIRONMENTAL MICROBIOLOGY. American Society for Microbiology, Washington, DC, USA, 82(9): 2872-2883, (2016).1Licence not specifiedover 2 years ago
- contains hourly ozone and meteorological data. This dataset is associated with the following publication: Schliep, E., A. Gelfand, and D. Holland. Alternating Gaussian process modulated renewal processes for modeling threshold exceedances and durations. Stochastic Environmental Research and Risk Assessment. Springer-Verlag, BERLIN-HEIDELBERG, GERMANY, 32(2): 401-417, (2018).1Licence not specifiedover 2 years ago
- Pyrethroid exposures and intake doses. 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: No contains PII, but all raw data have been provided in the paper (without PII). Format: Contains PII; however all raw data are provided in the paper (without PII). This dataset is associated with the following publication: Morgan, M. Dietary Pyrethroid Exposures and Intake Doses for 188 Duplicate-Single Solid Food Items Consumed by North Carolina Adults. Toxics. MDPI AG, Basel, SWITZERLAND, 8(1): 6, (2020).1Licence not specifiedover 2 years ago
- These data were used to generate graphs and tables for the Journal of Visualized Experiments (JoVE) publication 'Procedure and Key Optimization Strategies for an Automated Capillary Electrophoretic-based Immunoassay Method. In general, the data are generated as example data for optimization of this method. This dataset is associated with the following publications: Nelson, G., J. Guynn, and B. Chorley. Procedure and Key Optimization Strategies for an Automated Capillary Electrophoretic-based Immunoassay Method. Journal of Visualized Experiments. JoVE, Somerville, MA, USA, 127: e55911, (2017). Nelson, G., J. Currier, and B. Chorley. Procedure and Key Optimization Strategies for an Automated Capillary Electrophoretic-based Immunoassay Method. JoVE, Somerville, MA, USA, 2017.1Licence not specifiedover 2 years ago
- Method for the removal and degradation of harmful disinfection byproducts from drinking water. This dataset is associated with the following publication: Mezgebe, B., K. Palanisamy,, G. Sorial, E. Sahle-Demessie, A. Aly Hassan, and J. Lu. Comparative Study on the Performance of Anaerobic and Aerobic Biotrickling Filter for Removal of Chloroform. ENVIRONMENTAL ENGINEERING SCIENCE. Mary Ann Liebert, Inc., Larchmont, NY, USA, 35(5): 462-471, (2017).1Licence not specifiedover 2 years ago
- The dataset shows two tables for linear combination fitting results of phosphorus speciation generated from two figures. This dataset is associated with the following publication: Zhixuan, Q., A. Shober, K. Scheckel, C. Penn, and K. Turner. Mechanisms of Phosphorus Removal by Phosphorus Sorbing Materials. JOURNAL OF ENVIRONMENTAL QUALITY. American Society of Agronomy, MADISON, WI, USA, 47(5): 1232-1241, (2018).1Licence not specifiedover 2 years ago
- The data set contains a summary of literature sources involving microplastics in urban watersheds. This This primarily deals with aqueous phase and sediments from freshwater systems, along with influent and effluent from wastewater treatment plants. This dataset is not publicly accessible because: There are no data associated with this review paper. It can be accessed through the following means: N/A. Format: This is a review article. There are no data associated with the entry. This dataset is associated with the following publication: Birch, Q.T., P.M. Potter, P.X. Pinto, D.D. Dionysiou, and S.R. Al-Abed. Sources, transport, measurement, and impact of nano and microplastics in urban watersheds. ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 19: 275-336, (2020).1Licence not specifiedover 2 years ago
- This file contains the masses of metal coupons before and after fumigation with methyl bromide or methyl iodide. This dataset is associated with the following publication: Lee, S., S. Serre, A. Adrion, and R. Scheffrahn. Impact of Sporicidal Fumigation with Methyl Bromide or Methyl Iodide on Electronic Equipment. JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 231: 1021-1027, (2019).1Licence not specifiedover 2 years ago
- This dataset contains selected cases involving EPA's Regional Judicial Officers (RJOs) from 2005 to present. EPA's Regional Judicial Officers (RJOs) perform adjudicatory functions and act as Agency neutrals in administrative cases. EPA's RJOs are senior attorneys with backgrounds in EPA enforcement, general law, or both.1Licence not specifiedover 2 years ago
- cell culture information with toxicity and proteomic changes. This dataset is associated with the following publication: VanEmon, J., P. Pan, and F. Van Breukelen. Effects of chlorpyrifos and trichloropyridinol on HEK 293 human embryonic kidney cells. CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 191: 537-547, (2018).1Licence not specifiedover 2 years ago
- This dataset contains information about all the features extracted from the raw data files, the formulas that were assigned to some of these features, and the candidate compounds that correspond to those formulas. Data sources, bioactivity, exposure estimates, functional uses, and predicted and observed retention times are available for all candidate compounds. This dataset is associated with the following publication: Newton, S., R. McMahen, J. Sobus, K. Mansouri, A. Williams, A. McEachran, and M. Strynar. Suspect Screening and Non-Targeted Analysis of Drinking Water Using Point-Of-Use Filters. ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 234: 297-306, (2018).1Licence not specifiedover 2 years ago
- This dataset contains data presented in the figures of the paper "Semivolatile POA and parameterized total combustion SOA in CMAQv5.2: impacts on source strength and partitioning" published in Atmospheric Chemistry and Physics. It also links to the data archive of field observations. This dataset is associated with the following publication: Murphy, B., M. Woody, J. Jimenez, A.M. Carlton, P. Hayes, S. Liu, N. Ng, L. Russell, A. Setyan, L. Xu, J. Young, R. Zaveri, Q. Zhang, and H. Pye. Semivolatile POA and parameterized total combustion SOA in CMAQv5.2: impacts on source strength and partitioning. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 17: 11107-11133, (2017).1Licence not specifiedover 2 years ago
- Neonicotinoid pesticides are applied to seeds and are known to cause lethal and sub-lethal effects in birds and mammals. Neonicotinoid-treated seeds could be available to wildlife through spillage or exposed seeds near or at the soil surface due to incomplete or shallow drilling. We quantified seed spills that may occur during loading or refilling the hopper at a landscape-scale using road-based surveys. We also quantified undrilled seeds in 1-m2 frames on the soil in the center and corner of fields to obtain estimates at the field scale. We broadcast seeds on the soil surface of a tilled field and left them for 0, 1, 2, 4, 8, 16, and 30 days to quantify neonicotinoid decrease under field conditions. Lastly, we documented wildlife at neonicotinoid-treated seed spills with trail cameras. We estimated the number of spills during planting to be 3,496 (95%CI: 1,855–5,138) and 2,609 (95%CI: 862–4,357) for corn, 11,009 (95%CI: 6,950–15,067) and 21,105 (95%CI: 6,162–36,048) for soybean, and 830 (95%CI: 160–1,500) and 791 (95%CI: 0–1,781) for wheat in 2016 and 2017, respectively. Exposed seeds were present at the soil surface in 35% of 71 fields. The probability that seeds were present on the soil surface was higher for soybeans (18.8 and 49.4% in the center and corners, respectively) than for corn (1.6 and 2.7%, respectively), and seed densities were also higher (1.04 vs 0.07 seeds/m2, respectively). Neonicotinoids decreased rapidly on seeds on the soil surface but persisted as long as 30 days. Over a dozen species of birds and mammals consumed seeds at simulated spills, with an average time for birds to find spills of 1.3 ± 1.5 days and an average time to consumption of 4.1 ± 3.4 days. Seeds are abundant on the soil surface for wildlife to consume during the spring planting season and should be considered in pesticide risk assessments. This dataset is not publicly accessible because: These data were generated by a non-EPA entity and that entity prefers to provide the data to the public using their procedures. A point of contact is provided in this record. It can be accessed through the following means: Please contact the primary author for these data. Dr. Charlotte Roy of the Minnesota Department of Natural Resources. Email address: charlotte.roy@state.mn.us. Format: The data are housed in Excel spreadsheets. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.1Licence not specifiedover 2 years ago
- The dataset contains fish mortality associated with various treatment of oil and dispersants in water accommodated fractions and sediment. The dataset also contains analytical chemistry associated with each experimental treatment. This dataset is associated with the following publications: Barron, M. Photoenhanced Toxicity of Petroleum to Aquatic Invertebrates and Fish. ARCHIVES OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY. Springer, New York, NY, USA, 73(1): 40-46, (2017). Barron, M., J. Kryzwa, C. Lilavois, and S. Raimondo. Photoenhanced toxicity of weathered crude oil in sediment and water to larval zebrafish. BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY. Springer, New York, NY, USA, 100(1): 49-53, (2018).1Licence not specifiedover 2 years ago
- The dataset contains chromatographic traces of samples containing thioarsenic species and solubility data for disordered orpiment (arsenic sulfide). This dataset is associated with the following publication: Wilkin, R.T., R.G. Ford, L.M. Costantino, R.R. Ross, D.G. Beak, and K.G. Scheckel. Thioarsenite Detection and Implications for Arsenic Transport in Groundwater. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(20): 11684-11693, (2019).1Licence not specifiedover 2 years ago
- DNA sequence data output with assigned taxonomic IDs. This dataset is associated with the following publication: Hatzenbuhler, C., J.R. Kelly, J. Martinson, S. Okum, and E. Pilgrim. Sensitivity and accuracy of high-throughput metabarcoding methods for early detection of invasive fish species. Scientific Reports. Nature Publishing Group, UK, 7: 1-10 (46393), (2017).1Licence not specifiedover 2 years ago
- Underlying modeling outputs used to generate Figures in the manuscript and supplemental figures. This dataset is associated with the following publication: Stanek, L., J. Xue, C. Lay, E. Helm, T. Speth, D. Lytle, M. Schock, and V. Zartarian. Modeled Impacts of Drinking Water Lead Reduction Scenarios on Children’s Exposures and Blood Lead Levels. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(15): 9474-9482, (2020).1Licence not specifiedover 2 years ago
- This dataset is the raw data used to generate Tables and Figures for a peer-reviewed journal article that published in 2020 in the journal Fuel. This dataset is associated with the following publication: Yelverton, T., A. Brashear, D. Nash, J. Brown, C. Singer, P. Kariher, J. Ryan, and P. Burnette. Characterization of emissions from a pilot-scale combustor operating on coal blended with woody biomass. FUEL. Elsevier Science BV, Amsterdam, NETHERLANDS, 264: 0, (2020).1Licence not specifiedover 2 years ago
- This data includes gridded estimates of: (1) decadally averaged total N and S deposition for the conterminous US from 1800-2025, (2) critical loads from the National Critical Loads Database, and (3) exceedances of critical loads from atmospheric deposition of N and/or S. This dataset is associated with the following publication: Clark, C., J. Phelan, P. Doraiswamy, J. Buckley, J. Cajka, R. Dennis , J. Lynch, C. Nolte, and T. Spero. Atmospheric Deposition and Exceedances of Critical Loads from 1800-2025 for the Coterminous United States. BULLETIN OF THE ECOLOGICAL SOCIETY OF AMERICA. Ecological Society of America, Ithaca, NY, USA, 978-1002, (2018).1Licence not specifiedover 2 years ago
- None provided. This dataset is associated with the following publication: Ghio, A., J. Soukup, L. Dailey, H. Tong, and J. Richards. The biological effect of asbestos exposure is dependent on changes in iron homeostasis. INHALATION TOXICOLOGY. Informa Healthcare USA, New York, NY, USA, 28(14): 698-705, (2016).1Licence not specifiedover 2 years ago
- This is the dataset for the research article "A Risk-Based Evaluation of Onsite, Non-Potable Reuse Systems Developed in Compliance with Conventional Water Quality Measures". It compiles the risk results for various reuse configurations and treatment levels that are described in the text. This dataset is associated with the following publication: Schoen, M., M. Jahne, and J. Garland. A Risk-Based Evaluation of Onsite, Non-Potable Reuse Systems Developed in Compliance with Conventional Water Quality Measures. JOURNAL OF WATER AND HEALTH. IWA Publishing, London, UK, 18(3): 331-334, (2020).1Licence not specifiedover 2 years ago
- No data. This dataset is not publicly accessible because: No data. It can be accessed through the following means: No data. Format: No data. This dataset is associated with the following publication: Swanson, S., D. Kozlowski, R. Hall , D. Heggem , and J. Lin. Riparian Proper Functioning Condition (PFC) Assessment to Improve Water Quality. JOURNAL OF ENVIRONMENTAL QUALITY. American Society of Agronomy, MADISON, WI, USA, 72(2): 168-172, (2017).1Licence not specifiedover 2 years ago
- This dataset is comprised of urban soil physical, chemical characteristics for soils assessed in Detroit MI. These data are related to ecosystem services.1Licence not specifiedover 2 years ago
- Goethite with protuberant lychee morphology has been synthesized that accomplishes C-H activation of N-methylanilines to generate α-aminonitriles; the catalyst takes oxygen from air and uses it as a co-oxidant in the process. This dataset is associated with the following publication: Verma, S., R.B.N. Baig, R. Varma, and M. Nadagouda. Oxidative C-H activation of amines using protuberant lychee-like goethite. Nature Communications. Nature Publishing Group, London, UK, 8: 2024, (2018).1Licence not specifiedover 2 years ago
- This dataset compiled the emergy tables of different unit processes used in in struvite production and DAP production. This dataset is associated with the following publication: Theregowda, R., A. González-Mejía, C. Ma, and J. Garland. Nutrient recovery from municipal wastewater for sustainable food production systems: An alternative to traditional fertilizers.. ENVIRONMENTAL ENGINEERING SCIENCE. Mary Ann Liebert, Inc., Larchmont, NY, USA, 36(7): 833-842, (2019).1Licence not specifiedover 2 years ago
- This dataset includes QTc and RR values related to the electrocardiogram of rats exposed to either air or diesel exhaust. This dataset is associated with the following publication: Hazari , M., J. Lancaster, J. Starobin, A. Farraj , and W. Cascio. Diesel exhaust worsens cardiac conduction instability in dobutamine-challenged Wistar-Kyoto and spontaneously hypertensive rats. Cardiovascular Toxicology. Humana Press Incorporated, Totowa, NJ, USA, 17(2): 120-129, (2017).1Licence not specifiedover 2 years ago
- No data is available because the raw data was not generated in EPA. This dataset is not publicly accessible because: All data for this manuscript were collected and managed by our collaborator, Sejong University in Seoul Korea. It can be accessed through the following means: Contact Dr. Hyunchul Kim (animaplus@hanmail.net). Format: N/A. This dataset is associated with the following publication: Woo, H., H.S. Yang, T. Timmes, C. Han, J. Nam, S. Byun, S. Kim, H. Ryu, and H. Kim. Treatment of reverse osmosis concentrate using an algal-based MBR combined with ozone pretreatment. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 159: 164-175, (2019).1Licence not specifiedover 2 years ago
- This work discusses drinking water sampling efforts for lead in Flint, MI. This dataset is associated with the following publication: Lytle, D., M. Schock, K. Wait, K. Cahalan, V. Bosscher, A. Porter, and M. Deltoral. SEQUENTIAL DRINKING WATER SAMPLING AS A TOOL FOR EVALUATING LEAD IN FLINT, MICHIGAN. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 157: 40-54, (2019).1Licence not specifiedover 2 years ago
- Data are estimated stormwater values based on curve numbers (CN) values are based on hydrologic soil groups (A, B, C, and D) and four land cover types in the study area, such as, grassland, forest land, impervious area, and other open space. We apply SMPSS-TRAC to a watershed located in Hamilton County, Ohio, USA and develop five scenarios representing increasing use of GI. We test the scenarios under a 5-year rainfall intensity and set a cap of runoff for each scenario at a level that is equal to the runoff from an undeveloped status (1.03-inch runoff depth for the watershed). With the proposed SMPSS-TRAC, the watershed authority could encourage all parcel owners to install suitable GI or purchase credits from the market. This dataset is associated with the following publication: Fu, X., M. Hopton, X. Wang, H. Goddard, and H. Liu. A runoff trading system to meet watershed-level stormwater reduction goals with parcel-level green infrastructure installation. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 689: 1149-1159, (2019).1Licence not specifiedover 2 years ago
- The PMN Ecotox Database contains fielded information on ecological studies submitted under TSCA Section 5 in premanufacture and other exemption notices.1Licence not specifiedover 2 years ago
- These data sets are time, precipitation, inflow, outflow.and depth for various LID studies.1Licence not specifiedover 2 years ago
- Isolates listed by unique identifiers and levels of resistance to various antibiotics. This dataset is associated with the following publication: Hoelle, J., J.R. Johnson, B. Johnston, B. Kinkle, L. Boczek, H. Ryu, and S. Hayes. Survey of US wastewater for carbapenem-resistant Enterobacteriaceae. JOURNAL OF WATER AND HEALTH. IWA Publishing, London, UK, 17(2): 219-226, (2019).1Licence not specifiedover 2 years ago
- time-series analyses of land cover change in the Midwestern USA. This dataset is associated with the following publication: Berhane, T., C. Lane, S. Mengistu, J. Christensen, H. Golden, S. Qiu, Z. Zhu, and Q. Wu. Land-Cover Changes to Surface-Water Buffers in the Midwestern USA: 25 Years of Landsat Data Analyses (1993–2017). Remote Sensing. MDPI AG, Basel, SWITZERLAND, 12(5): 754, (2020).1Licence not specifiedover 2 years ago
- This Excel file contains the values used to create the figures in the journal article "Review of Pervaporation and Vapor Permeation Process Factors Affecting the Removal of Water from Industrial Solvents". This dataset is associated with the following publication: Vane, L.M. Review of pervaporation and vapor permeation process factors affecting the removal of water from industrial solvents. Journal of Chemical Technology and Biotechnology. John Wiley and Sons, LTD, UK, 95(3): 495-512, (2020).1Licence not specifiedover 2 years ago
- Resulting betas (health effects) from a variety of copollutant epidemiologic models used to analyze the impact of exposure measurement error on health effect estimates. This dataset is associated with the following publication: Dionisio , K., H.H. Chang, and L. Baxter. A simulation study to quantify the impacts of exposure measurement error on air pollution health risk estimates in copollutant time-series models.. ENVIRONMENTAL HEALTH. Academic Press Incorporated, Orlando, FL, USA, 15: 114, (2016).1Licence not specifiedover 2 years ago
- High-resolution (15-minute frequency) monitoring of pH, dissolved oxygen, salinity, temperature, depth, and chlorophyll was conducted from July 15-October 1, 2015 in a shallow, subtidal seagrass bed in Puget Sound, WA, USA. Grab samples for instrument validation and carbonate chemistry analysis were periodically taken next to the in-situ instrumentation. This dataset is associated with the following publication: Pacella, S., C. Brown, G. Waldbusser, R. Labiosa, and B. Hales. Seagrass habitat metabolism increases short-term extremes and long-term offset of CO2 under future ocean acidification. PNAS (PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES). National Academy of Sciences, WASHINGTON, DC, USA, 115(15): 3870-3875, (2018).1Licence not specifiedover 2 years ago
- Manitowoc R UVDOC data 2011. This dataset is associated with the following publication: Williamson, C., S. Madronich, A. Lal, R. Zepp, R. Lucas, E. Overholt, K. Rose, S.G. Schladow, and J. Lee-Taylor. Altmetric: 165More detail Article | OPEN Climate change-induced increases in precipitation are reducing the potential for solar ultraviolet radiation to inactivate pathogens in surface waters. Scientific Reports. Nature Publishing Group, London, UK, 7: 13033, (2017).1Licence not specifiedover 2 years ago
- This data extraction tool contains the non confidential identities of chemical substances submitted under the Toxic Substances Control Act (TSCA). TSCA was enacted to ensure that chemicals manufactured, imported, processed, or distributed in commerce, or used or disposed of in the United States do not pose any unreasonable risks to human health or the environment. EPA adds chemical substances to the TSCA Inventory following EPAs receipt of a Notice of Commencement (NOC) signaling the manufacturers intent to produce a chemical substance that EPA has previously reviewed and approved. Since EPA published the final TSCA Inventory Reporting Rule on December 23, 1977, the TSCA Inventory has grown to include the identities of over 83, 000 chemical substances.1Licence not specifiedover 2 years ago
- raw motor activity counts and tissue levels. This dataset is associated with the following publication: Moser, G., Z. Liu, C. Schlosser, T. Spanogle, A. Chandrasekaran, and K. Mcdaniel. Locomotor activity and tissue levels following acute administration of lambda- and gamma-cyhalothrin in rats. TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 313: 97-103, (2016).1Licence not specifiedover 2 years ago
- Index of Watershed Integrity (IWI) and Index of Catchment Integrity (ICI) was developed by research team lead by Scott Leibowitz in the Western Ecology Division The Center for Medicare and Medicaid Services (CMS) databases are protected health data. Access to this data will need to be requested through the CMS.gov. 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: Contact authors. Format: R files, SAS files, excel, CSV. This dataset is associated with the following publication: Jagai, J., A. Krajewski, M. Jimenez, M. Murphy, S. Leibowitz, and D. Lobdell. Watershed integrity and associations with gastrointestinal illness in the United States. JOURNAL OF WATER AND HEALTH. IWA Publishing, London, UK, 17(6): 978-988, (2019).1Licence not specifiedover 2 years ago
- The data set is abundance or presence/absence data collected by species from wadeable stream sites along with water chemistry, including specifically specific conductivity and some other variables that were not used in the analysis. This dataset is associated with the following publication: Griffith, M., L. Zheng, and S. Cormier. Using extirpation to evaluate ionic tolerance of freshwater fish. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 37(3): 871-883, (2018).1Licence not specifiedover 2 years ago
- This dataset provides the city-specific air exchange rate measurements, modeled, literature-based as well as housing characteristics. This dataset is associated with the following publication: Baxter, L., C. Stallings, L. Smith, and J. Burke. Probabilistic estimation of residential air exchange rates for population-based human exposure modeling. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 27: 227-234, (2017).1Licence not specifiedover 2 years ago
- To determine whether differences in cockle density or qualitative burial depth observed during the 2014 field survey were affected by green macroalgal (GMA) mats, we conducted a field caging experiment whereby cockles were subjected to the presence or absence of simulated GMA mats for 12 weeks (July-September 2014). This dataset contains all data collected during that field experiment. This dataset is associated with the following publication: Lewis, N., and T. DeWitt. Effect of Green Macroalgal Blooms on the Behavior, Growth, and Survival of Cockles (Clinocardium nuttallii) in Pacific NW Estuaries. MARINE ECOLOGY PROGRESS SERIES. Inter-Research, Luhe, GERMANY, 582: 105-120, (2017).1Licence not specifiedover 2 years ago
- Figure 1. Comparison of cell viability in response to exposure of cells to oleic acid (in ethanol), a hydroxy-metabolite, or methylated oleic acid as percent of the vehicle control response. Figure 2. Mitochondrial stress test extracellular flux using comparison of cellular oxygen consumption rate measures. Figure 3. Soluble mediator release comparison of cells exposed to oleic acid and its metabolites. Figure 4. Cellular iron-uptake following incubation with fatty acids. Supplement 2A. Lactate dehydrogenase activity release ( a measure of cell viability) is dose- and time-dependent. Supplement 2B. Oleic acid cellular association differs with vehicle utilized. This dataset is associated with the following publication: Bass, V., J. Soukup, A. Ghio, and M. Madden. Oleic Acid and Derivatives Affect Human Endothelial Mitochondrial Function Cell and Vasoactive Mediator Production. Lipids in Health and Disease. BioMed Central Ltd, London, UK, 19(1): 128, (2020).1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The U.S. Environmental Protection Agency (EPA) has collected and reported data on the generation and disposal of waste in the United States for more than 30 years. We use this information to measure the success of waste reduction and recycling programs across the country. Our trash, or municipal solid waste (MSW), is made up of the things we commonly use and then throw away. These materials include items such as packaging, food scraps, grass clippings, sofas, computers, tires, and refrigerators. MSW does not include industrial, hazardous, or construction waste. The data on Materials Discarded in the Municipal Waste Stream, 1960 to 2009, provides estimated data in thousands of tons discarded after recycling and compost recovery for the years 1960, 1970, 1980, 1990, 2000, 2005, 2007, 2008, and 2009. In this data set, discards include combustion with energy recovery. This data table does not include construction & demolition debris, industrial process wastes, or certain other wastes. The "Other" category includes electrolytes in batteries and fluff pulp, feces, and urine in disposable diapers. Details may not add to totals due to rounding.1Licence not specifiedover 2 years ago
- This dataset provides concentration-response data and associated general chemistry conditions for 26 experiments consisting of 149 tests regarding the acute toxicity of major ions to Ceriodaphnia dubia in a variety of test waters; it also provides LC50 estimates and the estimated ion mixtures at the LC50 for each toxicity test. This dataset is associated with the following publication: Mount , D., R. Erickson , T. Highland , R. Hockett , D. Hoff , T. Norberg-King , K. Peterson, Z. Polaske, and S. Wisniewski. The acute toxicity of major ion salts to Ceriodaphnia dubia: I. Influence of background water chemistry. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 35(12): 3039-3057, (2016).1Licence not specifiedover 2 years ago
- 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).1Licence not specifiedover 2 years ago
- This dataset provides all parameter values necessary to replicate the TIM/MCnest model analysis reported in the manuscript "Mechanistic modeling of insecticide risks to breeding birds in North American agroecosystems". This dataset is associated with the following publication: Etterson, M., K. Garber, and E. Odenkirchen. Mechanistic modeling of insecticide risks to breeding birds in North American agroecosystems. PLoS ONE. Public Library of Science, CA, USA, 1-23, (2017).1Licence not specifiedover 2 years ago
- Normalized Difference Vegetation Index (NDVI). This dataset is associated with the following publication: Shao, Y., R. Lunetta , B. Wheeler, J. Iiames , and J. Campbell. An Evaluation of Time-Series Smoothing Algorithms for Landcover Classifications Using MODIS-NDVI Multi-Temporal Data. REMOTE SENSING OF ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 174(0): 258-265, (2016).1Licence not specifiedover 2 years ago
- Data included health survey data from beach goers and water quality measurements. 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: Data contain PII and cannot be released publically. Limited deidentified data sets can be requested by contacting Tim Wade (wade.tim@epa.gov). Format: Data consist of comma delimited text files of survey data from beach goers and water quality measurements. Codebooks are in MS Word. This dataset is associated with the following publications: DeFlorio-Baker, S., T. Wade , M. Turyk, and S. Dorevitch. Water Recreation and Illness Severity. JOURNAL OF WATER AND HEALTH. IWA Publishing, London, UK, 5: 713-726, (2016). DeFlorio-Barker, S., T. Wade , R. Jones, L. Friedman, C. Wing, and S. Dorevitch. Estimated Costs of Sporadic Gastrointestinal Illness Associated with Surface Water Recreation: A Combined Analysis of Data from NEEAR and CHEERS Studies. ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 125(2): 215-222, (2017).1Licence not specifiedover 2 years ago
- 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).1Licence not specifiedover 2 years ago
- EPA Method 1615 measures enteroviruses and noroviruses present in environmental and drinking waters. The viral ribonucleic acid (RNA) from water sample concentrates is extracted and tested for enterovirus and norovirus RNA using reverse transcription-quantitative PCR (RT-qPCR). Virus concentrations for the molecular assay are calculated in terms of genomic copies of viral RNA per liter based upon a standard curve. The method uses a number of quality controls to increase data quality and to reduce interlaboratory and intralaboratory variation. The method has been evaluated by examining virus recovery from ground and reagent grade waters seeded with poliovirus type 3 and murine norovirus as a surrogate for human noroviruses. Mean poliovirus recoveries were 20% in groundwaters and 44% in reagent grade water. Mean murine norovirus recoveries with the RT-qPCR assay were 31% in groundwaters and 4% in reagent grade water. This dataset is associated with the following publication: Fout , S., J. Cashdollar , S. Griffin , N. Brinkman , E. Varughese , and S. Parshionikar. EPA Method 1615. Measurement of Enterovirus and Norovirus Occurrence in Water by Culture and RT-qPCR. Part III. Virus Detection by RT-qPCR. Journal of Visualized Experiments. JoVE, Somerville, MA, USA, 107: e52646, (2016).1Licence not specifiedover 2 years ago
- CMAQv5.1 with a new dust module AQS Hourly sitex files containing hourly paired model/ob data for the AQS network. This dataset is associated with the following publication: Foroutan, H., J. Young, S. Napelenok, L. Ran, W. Appel, R. Gilliam, and J. Pleim. Development and evaluation of a physics-based windblown dust emission scheme implemented in the CMAQ modeling system. Journal of Advances in Modeling Earth Systems. John Wiley & Sons, Inc., Hoboken, NJ, USA, 9(1): 585-608, (2017).1Licence not specifiedover 2 years ago
- The GitHub site has the dataset used to create the manuscript figures, which examined which simulation parameters influenced the spread of contamination within a water distribution system. The dataset includes the values for the metrics of interest, which were extent of contamination, population impacted, extent of contamination in the unknown zone, and the population impacted in the unknown zone. These values changed according to the simulation parameter combination set that was used in modeling the affects of a contamination incident within a water distribution system. These parameters included demand, valve closure, contaminant reaction coefficient, injection start time, injection duration, and injection location (as listed in Table 1 of the paper). Two different water distribution system models were used in the paper, the KL network and the N6 network. In addition, some of the simulation model input files that were used to create the data are also provided on the GitHub site, but not all of the input files are provided since there were approximately 25 million simulations. A README file is provided on the GitHub site for more explanation of the files provided. This dataset is associated with the following publication: Hart, D., J.S. Rodriguez, J. Burkhardt, B. Borchers, C. Laird, R. Murray, K. Klise, and T. Haxton. Quantifying hydraulic and water quality uncertainty to inform sampling of drinking water distribution systems. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT. American Society of Civil Engineers (ASCE), Reston, VA, USA, 145(1): ., (2019).1Licence not specifiedover 2 years ago
- The Drinking Water Treatability Database (TDB) presents referenced information on the control of contaminants in drinking water. It allows drinking water utilities, first responders to spills or emergencies, treatment process designers, research organizations, regulators and others to access referenced information gathered from thousands of literature sources on regulated and unregulated contaminants.1Licence not specifiedover 2 years ago
- Physiologic data associated with different strains of common laboratory rat strains. This dataset is associated with the following publication: Gordon , C., P. Phillips , and A. Johnstone. Impact of Genetic Strain on Body Fat Loss, Food Consumption, Metabolism, Ventilation, and Motor Activity in Free Running Female Rats. PHYSIOLOGY AND BEHAVIOR. Elsevier Science Ltd, New York, NY, USA, 153: 56-63, (2016).1Licence not specifiedover 2 years ago
- Toward an AOP Network-based tiered testing strategy for the assessment of thyroid hormone disruptionNo novel data were reported in association with this product. This dataset is not publicly accessible because: The associated publication is a review/forum-type article. No novel scientific data are reported. All data cited have been previously published elsewhere. It can be accessed through the following means: Not applicable. Format: This article is a review/forum-type article. No novel scientific data are included. This dataset is associated with the following publication: Knapen, D., E. Stinckens, J. Cavallin, G. Ankley, H. Holbech, D. Villeneuve, and L. Vergauwen. Toward an AOP network-based tiered testing strategy for the assessment of thyroid hormone disruption. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(16): 8491-8499, (2020).1Licence not specifiedover 2 years ago
- Chloride data used to assess trends over time, using both USGS data for trends in loads and USEPA NRSA data used to assess trends in concentrations. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.1Licence not specifiedover 2 years ago
- Data from NLA 2012 was used to assess biovolume results for cyanobacteria (phytoplankton) in relation to both landscape and in lake factors. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.1Licence not specifiedover 2 years ago
- Data used to produce figures for the manuscript. This dataset is associated with the following publication: Jalowska, A., and T. Spero. Developing PIDF Curves From Dynamically Downscaled WRF Model Fields to Examine Extreme Precipitation Events in Three Eastern U.S. Metropolitan Areas. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 124(24): 13895-13913, (2019).1Licence not specifiedover 2 years ago
- Data (2 excel files) consist of the analytical test results on water sample collected from the two adsorption media tanks of the arsenic removal system during the regeneration processes conducted multiply times over a five-year period. Data set also includes the companion bed volumes of water treated by the tank of media at the time the water samples were collected. This dataset is associated with the following publications: Sorg, T., A. Chen, L. Wang, and R. Kolich. Regeneration of a Full-Scale Arsenic Removal Adsorptive Media System,Part 1: The Regeneration Process. JOURNAL OF AMERICAN WATER WORKS ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 109(5): 13-24, (2017). Sorg, T., R. Kolich, A.S.C. Chen, and L. Wang. Regeneration of a Full-Scale Arsenic Removal Adsorptive Media System,Part 2: The Performance and Cost. JOURNAL OF THE AMERICAN WATER WORKS ASSOCIATION. American Water Works Association, Denver, CO, USA, 109(5): E122-E128, (2017).1Licence not specifiedover 2 years ago
- This dataset provides supporting information for figures in the journal article entitled: Mutagenicity- and Pollutant-Emission Factors of Pellet-Fueled Gasifier Cookstoves: Comparison with Other Combustion Sources. This dataset is associated with the following publication: Champion, W., S. Warren, I. Kooter, W. Preston, T. Krantz, D. DeMarini, and J. Jetter. Mutagenicity- and Pollutant-Emission Factors of Pellet-Fueled Gasifier Cookstoves: Comparison with Other Combustion Sources. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 739(October 15 2020): 139488, (2020).1Licence not specifiedover 2 years ago
- This dataset contains information on pneumatic controllers encountered on the oil and gas production sites surveyed as part of the study. The dataset includes the type and use of the controllers along with optical gas imaging observation results on observed emissions from the controllers and high volume sampler emission assessments of a subset of controllers measured. This dataset is associated with the following publication: Stovern, M., J. Murray, C. Schwartz, C. Beeler, and E. Thoma. Understanding Oil and Gas Pneumatic Controllers in the Denver-Julesburg Basin using Optical Gas Imaging. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 468-480, (2020).1Licence not specifiedover 2 years ago
- Worksheet titled Data for ECM: Data set used to estimate the error correction model to understand how turbidity and other variables affect drinking water treatment costs. Worksheet titled Data for PDL: Data set used to estimate the polynomial distributed lag model to understand how phosphorus load entering reservoir impacts turbidity at the drinking water treatment plant. This dataset is associated with the following publication: Heberling , M., C. Nietch , H. Thurston , M. Elovitz , K. Birkenhauer, S. Panguluri, B. Ramakrishnan, E. Heiser, and T. Neyer. Comparing drinking water treatment costs to source water protection costs using time series analysis.. WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 51(11): 8741-8756, (2015).1Licence not specifiedover 2 years ago
- Wipe sampling variables (such as wipe wetting solvent, pesticide concentration effects, commercial products, number of wipes per tested surface) were evaluated to determine their potential effects on method performance and how they may alter surface recoveries. This dataset is associated with the following publication: Willison, S., D. Stout, A. Mysz, J. Starr, D. Tabor, B. Wyrzykowska-Ceradini, J. Nardin, E. Morris, and E. Snyder. The impact of wipe sampling variables on method performance associate with indoor pesticide misuse and highly contaminated areas. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 655: 539-546, (2019).1Licence not specifiedover 2 years ago
- This data set is broken up into 2 Excel files. In one file are all the data pertaining to the vascular and pulmonary effects of ozone exposure in rats fed either a normal diet or diet enriched with coconut oil, fish oil, or olive oil. The different tabs of the spreadsheet pertain to each figure or table found in the manuscript. This file was updated on 12/7/17 to reflect changes to Figure 3 in response to reviewers comments following submission to Toxicological Sciences. In the second file is all the data for Figure 8 pertaining to the global microRNA assessment. This dataset is associated with the following publication: Snow, S., W. Cheng, A. Henriquez, M. Hodge, V. Bass, G. Nelson, G. Carswell, J. Richards, M. Schladweiler, A. Ledbetter, B. Chorley, K. Gowdy, H. Tong, and U. Kodavanti. Ozone-Induced Vascular Contractility and Pulmonary Injury are Differentially Impacted by Diets Enriched with Coconut Oil, Fish Oil, and Olive Oil. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 163(1): 57-69, (2018).1Licence not specifiedover 2 years ago
- Cleanups in My Community (CIMC) enables you to map and list hazardous waste cleanup locations and grant areas, and drill down to details about those cleanups and grants and other, related information.1Licence not specifiedover 2 years ago
- Superfund is a program administered by the EPA to locate, investigate, and clean up the worst hazardous waste sites throughout the United States. Before Superfund, Americans were less aware of how dumping chemical wastes might affect public health and the environment. Hazardous wastes were often left in the open, where they seeped into the ground, flowed into rivers and lakes, and contaminated soil and groundwater. Consequently, where these practices were intensive or continuous, there were uncontrolled or abandoned hazardous waste sites. These sites include abandoned warehouses, manufacturing facilities, processing plants, and landfills. Citizen concern about the extent of this problem prompted Congress in 1980 to establish the Superfund Program to eliminate the health and environmental threats posed by hazardous waste sites. EPA administers the Superfund program in cooperation with individual states and tribal governments. You may use the CERCLIS Search to retrieve Superfund data from the Comprehensive Environmental Response, Compensation, and Liability Information System (CERCLIS) database in Envirofacts. You can search for any combination of facility name and geographic location.1Licence not specifiedover 2 years ago
- The Humboldt Open Ocean Disposal Site (HOODS) is a dredged material disposal site located 3 nautical miles (nm) offshore of Humboldt Bay in Northern California. HOODS was permanently designated by EPA Region 9 in 1995, and has been actively used for dredged material disposal operations since then. The HOODS has received higher volumes of dredged material than predicted since its designation in 1995, mainly from USACE construction and maintenance dredging.1Licence not specifiedover 2 years ago
- The E3 initiative is designed to help you thrive in a new business era focused on sustainability and, working together, to promote sustainable manufacturing and economic growth throughout the United States. Within the E3 framework, we can: - Drive Innovation - Increase Manufacturing Productivity - Boost Local Economies - Reduce Environmental Impacts - Foster Development - Conserve Energy and Resources This website provides information and tools for E3, including fact sheets, contacts, and calculators.1Licence not specifiedover 2 years ago
- The Toxicity Reference Database (ToxRefDB) contains approximately 30 years and $2 billion worth of animal studies. ToxRefDB allows scientists and the interested public to search and download thousands of animal toxicity testing results for hundreds of chemicals that were previously found only in paper documents. Currently, there are 474 chemicals in ToxRefDB, primarily the data rich pesticide active ingredients, but the number will continue to expand.1Licence not specifiedover 2 years ago
- The Human Exposure Database System (HEDS) provides public access to data sets, documents, and metadata from EPA on human exposure. It is primarily intended for scientists involved in human exposure studies or work requiring such data.1Licence not specifiedover 2 years ago
- This dataset contains a list of products that carry the Design for the Environment (DfE) label. This mark enables consumers to quickly identify and choose products that can help protect the environment and are safer for families. When you see the DfE logo on a product it means that the DfE scientific review team has screened each ingredient for potential human health and environmental effects and that-based on currently available information, EPA predictive models, and expert judgment-the product contains only those ingredients that pose the least concern among chemicals in their class. Product manufacturers who become DfE partners, and earn the right to display the DfE logo on recognized products, have invested heavily in research, development and reformulation to ensure that their ingredients and finished product line up on the green end of the health and environmental spectrum while maintaining or improving product performance. EPA's Design for the Environment Program (DfE) has allowed use of their logo on over 2500 products. These products are formulated from the safest possible ingredients and have reduced the use of "chemicals of concern" by hundreds of millions of pounds.1Licence not specifiedover 2 years ago
- See Metadata and Notes associated with each data files for a description of each dataset. This dataset is associated with the following publication: Chorley, B., G. Carswell, G. Nelson, V. Bhat, and C. Wood. Early MicroRNA Indicators of PPARα Pathway Activation in the Liver. Toxicology Reports. Elsevier B.V., Amsterdam, NETHERLANDS, 7: 805-815, (2020).1Licence not specifiedover 2 years ago
- The leachate concentrations of Se and B released from FGDG, soil and soil-FGDG mixture obtained from EPA-method 1314 is included in the data set. The non-equilibrium partitioning coefficients calculated based on the experimental data also included along with the predicted NPC values calculated using a regression model based on a power function. Long term environmental release of Se and B in agricultural field and a landfill calculated using fate and transport model simulation also included in the data set. This dataset is associated with the following publication: Koralegedara, N., S. Al-Abed , M. Arambewela, and D. Dionysiou. Impact of Leaching Conditions on Constituents Release from Flue Gas Desulfurization Gypsum (FGDG) and FGDG-Soil Mixture. Edith Rene, Robin Gerlach, Peter Galaz, Davide Zannoni and Piet Lens JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 324: 83-93, (2017).1Licence not specifiedover 2 years ago
- In response to the BP oil spill, EPA monitored water near the spill. While emergency response data collection has ended, results continue to be available on this site.1Licence not specifiedover 2 years ago
- This dataset represents net anthropogenic Nitrogen within AOI: farm fertilizer + urban fertilizer + NOx deposition + CBNF + Human and Livestock food - crop N content - livestock N content within individual, local NHDPlusV2 catchments and upstream, contributing watersheds.1Licence not specifiedover 2 years ago
- This dataset represents nitrogen surplus as kg N / yr, excluding biological N Fixation, within individual, local NHDPlusV2 catchments and upstream, contributing watersheds.1Licence not specifiedover 2 years ago
- N from rock weathering (kg/ km2) within AOI1Licence not specifiedover 2 years ago
- An investigation was performed on each of the individual CASMI datasets to identify whether the chemicals were present in DSSTox, the database underlying the Dashboard (see Methods for details). As our identification workflow relies on database presence, the presence or absence of a chemical in the database is clearly highly influential in terms of overall performance. Results from the dataset assembly analysis from each CASMI year dataset are presented in Table 1 and described in detail by dataset year below (complete datasets are provided in Supplemental File 2 and available as lists on the Dashboard). This dataset is associated with the following publication: McEachran, A., A. Chao, H. Al-Ghoul, C. Lowe, C. Grulke, J. Sobus, and A. Williams. Revisiting Five Years of CASMI Contests with EPA Identification Tools. Metabolites. MDPI AG, Basel, SWITZERLAND, 10(6): 260, (2020).1Licence not specifiedover 2 years ago
- This sheet correlates the subject_id (assigned by Zooniverse) to the SiteID, Video filename and DropSiteID. See R script for analysis. This dataset is associated with the following publication: Wick, M., T. Angradi, M. Pawlowski, D. Bolgrien, R. Debbout, J. Launspach, and M. Nord. Deep Lake Explorer: A web application for crowdsourcing the classification of benthic underwater video from the Laurentian Great Lakes. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 46(5): 1469-1478, (2020).1Licence not specifiedover 2 years ago
- This dataset contains information on chemicals that company's produce domestically or import into the United States during the principal reporting year. For the 2012 submission period, reporters provided 2011 manufacturing, processing, and use data and 2010 production volume data for their reportable chemical substances.1Licence not specifiedover 2 years ago
- In situ analyses of Ag speciation in tissues of cucumber and wheat using synchrotron-based X-ray absorption spectroscopy showing spectral fitting and linear combination fitting results. This dataset is associated with the following publication: Wang, P., E. Lombi, S. Sun, K. Scheckel, A. Malysheva, B. McKenna, N. Menzies, F. Zhao, and P. Kopittke. Characterizing the Uptake, Accumulation and Toxicity of Silver Sulfide Nanoparticles in Plants. Vicki Grassian Environmental Science: Nano. RSC Publishing, Cambridge, UK, 4(2): 448-460, (2017).1Licence not specifiedover 2 years ago
- Maternal high-fat diet (HFD) and obesity can increase the susceptibility of offspring to inhaled pollutants. In this study, we examined the influence of maternal HFD on metabolic responses to ozone in young Long-Evans rat offspring. F0-females began control (CD; 10%kcal from fat) or high-fat diet (HFD; 60%kcal from fat) at post-natal day (PND)-30. Rats were bred on PND-72 and allowed to give birth. Dietary regimen was maintained until PND-30 and then all offspring were switched to CD. On PND-40, female and male offspring-F1 (n=10/group) were exposed to air or 0.8-ppm ozone for 5h and within 1h serum samples were collected for neuroendocrine hormones and global metabolomic analysis. Offspring from HFD-dams had increased body fat and weight relative to CD, however, no major changes in circulating hormones were noted. Metabolomic analysis revealed significant sex, diet, and exposure-related changes in metabolites. Maternal HFD increased free fatty acids and decreased phospholipids (female>male). Also, microbiome-associated histidine and tyrosine metabolites were increased in both sexes of offspring, while 1,5-anhydroglucitol levels decreased in males. Ozone exposure increased free fatty acids in males from CD-dams but decreased in females from HFD-dams. Ozone also decreased monohydroxy fatty acids and acyl carnitines in females (HFD>CD). Moreover, it increased pyruvate along with TCA cycle intermediates in females suggesting an increase in glucose utilization. Ozone increased various amino acids, polyamines and metabolites of gut microbiota in HFD female offspring. Collectively, these data suggest that maternal HFD increases offspring susceptibility to metabolic alterations in a sex-specific manner when challenged with environmental stressors. This dataset is associated with the following publication: Snow, S., K. Broniowska, E. Karoly, A. Henriquez, P. Phillips, A. Ledbetter, M. Schladweiler, C. Miller, C. Gordon, and U. Kodavanti. Offspring Susceptibility to Metabolic Alterations Due to Maternal High Fat Diet and the Impact of Inhaled Ozone Used as a Stressor. Scientific Reports. Nature Publishing Group, London, UK, 1, (2020).1Licence not specifiedover 2 years ago
- Interview Summaries with Federal Government partners. This dataset is associated with the following publication: O'Farrell, T., B. Burchard, R. Olson, and J. Greenblott. Strategic Foresight in the Federal Government: A Survey of Methods, Resources and Institutional Arrangements. World Futures Review. SAGE Publications, THOUSAND OAKS, CA, USA, 25, (2018).1Licence not specifiedover 2 years ago
- This dataset represents mean hillslope percent within individual, local NHDPlusV2 catchments and upstream, contributing watersheds.1Licence not specifiedover 2 years ago
- This dataset represents mean percent are burned from wildfires within individual, local NHDPlusV2 catchments and upstream, contributing watersheds for each year for 1984-2018.1Licence not specifiedover 2 years ago
- This dataset represents the population and housing unit density within individual, local NHDPlusV2 catchments and upstream, contributing watersheds riparian buffers based on 2010 US Census data. Densities are calculated for every block group and watershed averages are calculated for every local NHDPlusV2 catchment(see Data Sources for links to NHDPlusV2 data and Census Data). This data set is derived from The TIGER/Line Files and related database (.dbf) files for the conterminous USA. It was downloaded as Block Group-Level Census 2010 SF1 Data in File Geodatabase Format (ArcGIS version 10.0). The landscape raster (LR) was produced based on the data compiled from the questions asked of all people and about every housing unit. The (block-group population / block group area) and (block-group housing units / block group area) were summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents percent area consisting of sandstone aquifers within individual, local NHDPlusV2 catchments and upstream, contributing watersheds.1Licence not specifiedover 2 years ago
- This dataset represents percent area consisting of semiconsolidated sand aquifers within individual, local NHDPlusV2 catchments and upstream, contributing watersheds.1Licence not specifiedover 2 years ago
- This dataset represents total fresh surface-water withdrawals in agricultural land within individual, local NHDPlusV2 catchments and upstream, contributing watersheds. Measured as L/day as described in DOI: 10.1016/j.scitotenv.2020.1376611Licence not specifiedover 2 years ago
- This dataset represents the wetness index within individual local NHDPlusV2 catchments and upstream, contributing watersheds based on the Composite Topographic Index (See Supplementary Info for Glossary of Terms). The Composite Topographic Index (CTI) is based on contributing area, slope, and overland flow and has been developed internally at the EPA for the EnviroAtls (http://edg.epa.gov/data/Public/ORD/EnviroAtlas/National/). As defined for use in EnviroAtlas datasets and as used here, “wet areas are typically created by runoff from natural land cover when rain falls on saturated soil. Surface and rill (or small channel) runoff carries excess water to lowland depressions or wet areas. Runoff collects in wet areas until they fill and overflow downstream. In this way, stream networks can be extended into new areas that would not be hydrologically connected during drier times. Wet area expansion and watershed hydrological connectivity differ between humid temperate and semi-arid and arid climates (where drought and soil crusts limit infiltration and produce flashier runoff)” (from https://enviroatlas.epa.gov/enviroatlas/datafactsheets/pdf/ESN/PercentForestonWetAreas.pdf). The Mean Composite Topographic Index (CTI)[Wetness Index] were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents the population and housing unit density within individual, local NHDPlusV2 catchments and upstream, contributing watersheds based on 2010 US Census data. Densities are calculated for every block group and watershed averages are calculated for every local NHDPlusV2 catchment. This data set is derived from The TIGER/Line Files and related database (.dbf) files for the conterminous USA. It was downloaded as Block Group-Level Census 2010 SF1 Data in File Geodatabase Format (ArcGIS version 10.0). The landscape raster (LR) was produced based on the data compiled from the questions asked of all people and about every housing unit. The (block-group population / block group area) and (block-group housing units / block group area) were summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents the density of road and stream crossings within individual, local NHDPlusV2 catchments and upstream, contributing watersheds. Attributes of the landscape layer were calculated for every local NHDPlusV2 catchment and then accumulated to provide watershed-level metrics. The landscape layer (raster) was developed by James Falcone of the USGS. US Census TIGER 2000 line files of roads and the NHDPlusV1 line files of all streams were converted to 30-meter grids where the presence of a street or stream was a 1 and everything else a 0. These were intersected and anything that was a 1 in both grids is the result. The density of road and stream crossings (crossings / square kilometer) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents deposition estimates of nutrients within individual local NHDPlusV2 catchments and upstream, contributing watersheds based on the National Atmospheric Deposition Program. The National Trends Network provides long-term records of precipitation chemistry across the United States. Individual rasters describe ammonium, nitrate, inorganic nitrogen, and average sulfur/nitrogen deposition per year. See Source Info for links to NADP. The nitrogen and sulfur characteristics (kg N/ha/yr) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents the Index of Watershed Integrity / Index of Catchment Integrity (IWI/ICI) within individual local NHDPlusV2 catchments and upstream, contributing watersheds based on 23 other StreamCat metrics. The Index of Watershed Integrity (IWI) is based on first order approximations of relationships between stressors and six watershed functions: hydrologic regulation, regulation of water chemistry, sediment regulation, hydrologic connectivity, temperature regulation, and habitat provision. Link to paper: https://doi.org/10.1016/j.ecolind.2017.10.070 The Index of Watershed Integrity / Index of Catchment Integrity (IWI/ICI) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents data derived from the NLCD dataset and the National Hydrography Dataset version 2.1(NHDPlusV2) (see Data Sources for links to NHDPlusV2 data and NLCD). Attributes were calculated for every local NHDPlusV2 catchment and accumulated upstream catchments riparian area to provide watershed-level metrics for imperviousness values within the NLCD. This data set is derived from the NLCD Impervious Surfaces raster(imp2011) which describes percent imperviousness (continuous data type). Values indicate the degree to which the area is composed of impervious anthropogenic materials (e.g., parking surfaces, roads, building roofs). This raster was produced based on a decision-tree classification of circa 2011 Landsat satellite data.(see Data Structure and Attribute Information for a description of each metric).1Licence not specifiedover 2 years ago
- This dataset represents data derived from the NLCD dataset and the National Hydrography Dataset version 2.1(NHDPlusV2) (see Data Sources for links to NHDPlusV2 data and NLCD). Attributes were calculated for every local NHDPlusV2 catchment and accumulated upstream catchments riparian area to provide watershed-level metrics for imperviousness values within the NLCD. This data set is derived from the NLCD Impervious Surfaces raster(imp2006) which describes percent imperviousness (continuous data type). Values indicate the degree to which the area is composed of impervious anthropogenic materials (e.g., parking surfaces, roads, building roofs). This raster was produced based on a decision-tree classification of circa 2006 Landsat satellite data.1Licence not specifiedover 2 years ago
- This dataset represents the characterization of global forest extent and change by year from 2001 through 2013 within individual local NHDPlusV2 catchments and upstream, contributing watersheds based on the Global Forest Change 2000–2013. These data are based on global tree cover loss for the period from 2001 to 2013 at a spatial resolution of 30m. The analysis used to create the landscape layer is based on Landsat data. Forest loss was defined as a stand-replacement disturbance or the complete removal of tree cover canopy at the Landsat pixel scale. This landscape layer is a disaggregation of total forest loss to annual time scales. Encoded as either 0 (no loss) or else a value in the range 1–13, representing loss detected primarily in the year 2001–2013, respectively. The forest loss by year characteristics (%) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- Associations between cytokines assessed in EBC and the outcomes of Death, Pneumonia, and Sepsis. An odds ratio greater than 1 is indicative of a positive association between the cytokine and the outcome; an odds ratio equal to 1 indicates that the cytokine and the outcome are independent of one another; an odds ratio of less than 1 is indicative of a negative correlation between the cytokine and the outcome.1Licence not specifiedover 2 years ago
- These data were exported from Deep Lake Explorer and include metadata about the subjects (video clips) analyzed in DLE. A data dictionary is included as a separate sheet within this spreadsheet. See R script for data analysis. This dataset is associated with the following publication: Wick, M., T. Angradi, M. Pawlowski, D. Bolgrien, R. Debbout, J. Launspach, and M. Nord. Deep Lake Explorer: A web application for crowdsourcing the classification of benthic underwater video from the Laurentian Great Lakes. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 46(5): 1469-1478, (2020).1Licence not specifiedover 2 years ago
- This study evaluated two anti-angiogenic agents, 5HPP-33 and TNP-470, across the ToxCastDB HTS assay platform and anchored the results to complex in vitro functional assays: the rat aortic explant assay (AEA), rat whole embryo culture (WEC), and the zebrafish embryotoxicity (ZET) assay. This dataset is not publicly accessible because: no EPA data; all the data generated by external organizations; EPA coauthors. It can be accessed through the following means: Data generated by external organizations. Format: N/A. This dataset is associated with the following publication: Ellis-Hutchings, R., R. Settivari, A. McCoy, N. Kleinstreuer, J. Franzosa, T. Knudsen, and E. Carney. (REPRODUCTIVE TOXICOLOGY) EMBRYONIC VASCULAR DISRUPTION ADVERSE OUTCOMES: LINKING HIGH THROUGHPUT SIGNALING SIGNATURES WITH FUNCTIONAL CONSEQUENCES. REPRODUCTIVE TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 70: 82-96, (2017).1Licence not specifiedover 2 years ago
- computational chemistry data (very complex; need to be an expert to understand and use. This dataset is associated with the following publication: Lee, S., and M. Barron. 3D-QSAR Study of Steroidal and Azaheterocyclic Human Aromatase Inhibitors using Quantitative Profile of Protein-Ligand Interactions. Journal of Cheminformatics. Springer, New York, NY, USA, 10(2): 1-13, (2018).1Licence not specifiedover 2 years ago
- This dataset represents data derived from the NLCD dataset and the National Hydrography Dataset version 2.1(NHDPlusV2) (see Data Sources for links to NHDPlusV2 data and NLCD). Attributes were calculated for every local NHDPlusV2 catchment and accumulated upstream catchments riparian area to provide watershed-level metrics for imperviousness values within the NLCD. This data set is derived from the NLCD Impervious Surfaces raster(imp2001) which describes percent imperviousness (continuous data type). Values indicate the degree to which the area is composed of impervious anthropogenic materials (e.g., parking surfaces, roads, building roofs). This raster was produced based on a decision-tree classification of circa 2001 Landsat satellite data.(see Data Structure and Attribute Information for a description of each metric).1Licence not specifiedover 2 years ago
- This dataset (STATSGO_Set1 and STATSGO_Set2) represents the soil characteristics within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the STATSGO landscape rasters. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from the STATSGO landscape rasters for the conterminous USA. Individual rasters (Landscape Layers) of organic material (om), permeability (perm), water table depth (wtdep), depth to bedrock (rckdep), percent clay (clay), and percent sand (sand) were used to calculate soil characteristics for each NHDPlusV2 catchment. The soil characteristics were summarized to produce local catchment-level and watershed-level metrics as a continuous data type. The STATSGO data are distributed in two sets, STATSGO_Set1 and STATSGO_Set2, based on common NoData locations in each set of soil GIS layers (see ftp://newftp.epa.gov/EPADataCommons/ORD/NHDPlusLandscapeAttributes/StreamCat/Documentation/ReadMe.html).1Licence not specifiedover 2 years ago
- The Reusable Component Services (RCS) is a super-catalog of components, services, solutions and technologies that facilitates search, discovery and collaboration in order to promote quality and savings in software development through sharing and re-use1Licence not specifiedover 2 years ago
- Differential genomic effects on signaling pathways by two different CeO2 nanoparticles in HepG2 cells. This dataset is associated with the following publication: Thai , S., K. Wallace , C. Jones , H. Ren , B. Castellon, J. Crooks , E.A. Grulke, and K. Kitchin. Differential genomic effects on signaling pathways by two different CeO2 nanoparticles in HepG2 cells. Journal of Nanoscience and Nanotechnology. American Scientific Publishers, VALENCIA, CA, USA, 15(12): 9925-37, (2015).1Licence not specifiedover 2 years ago
- The purpose of this study was twofold. First, we sought to identify candidate markers of exposure to antiandrogens by analyzing endogenous metabolite profiles in the urine of male fathead minnows (mFHM, Pimephales promelas). Based on earlier work, we hypothesized that unidentified lipids in the urine of mFHM were selectively responsive to exposure to androgen receptor antagonists,which is otherwise difficult to confirm using established fish toxicity assays. A second goal was to evaluate the feasibility of non-lethally and repeatedly sampling urine from individual mFHMs over the time course of response to a chemical exposure. Accordingly, we exposed mFHM to the model anti-androgens vinclozolin or flutamide. Urine was collected from each fish at 48 hour intervals over the course of a 14 day exposure. Parallel experiments were conducted with mFHM exposed to bisphenol A or control water. The frequent handling/sampling regime did not cause apparent adverse effects on the fish. Endogenous metabolite profiling was conducted with gas chromatography–mass spectrometry (GC–MS), which exhibited lower variation for the urinary metabolome than was found in earlier work with nuclear magnetic resonance (NMR) spectroscopy. Specifically, for inter- and intra-individual variations, the median spectrum-wide relative standard deviation (RSD) was 32.6% and 33.3%, respectively, for GC–MS analysis of urine from unexposed mFHM. These results compared favorably with similar measurements of urine from other model species, including the Sprague Dawley rat. In addition, GC–MS allowed us to identify several lipids (e.g., certain saturated fatty acids) in mFHM urine as candidate markers of exposure to androgen receptor antagonists. The dataset that is uploaded here is the complete processed data from GC-MS instrument. This dataset is associated with the following publication: Collette , T., D. Skelton, J. Davis , J. Cavallin , K. Jensen , M. Kahl , G. Ankley , G. Ankley , D. Martinovic-Weigelt, and D. Ekman. Metabolite profiles of repeatedly sampled urine from male fathead minnows (Pimephales promelas) contain unique lipid signatures following exposure to anti-androgens. COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY - PART D: GENOMICS AND PROTEOMICS. Elsevier BV, AMSTERDAM, NETHERLANDS, 19: 190-198, (2016).1Licence not specifiedover 2 years ago
- The Toxics Release Inventory (TRI) Chemical Hazard Information Profiles (TRI-CHIP) dataset contains hazard information about the chemicals reported in TRI. Users can use this XML-format dataset to create their own databases and hazard analyses of TRI chemicals. The hazard information is compiled from a series of authoritative sources including the Integrated Risk Information System (IRIS). The dataset is provided as a downloadable .zip file that when extracted provides XML files and schemas for the hazard information tables.1Licence not specifiedover 2 years ago
- The Visual Powerfiles for EEO is an information management and reporting system designed to meet Federal requirements for the agency's Equal Employment Opportunity (EEO) function in accordance with several civil rights laws and regulations. EPA OCR is responsible for monitoring and evaluating the effectiveness of affirmative programs, conducting workforce ad hoc anlysis and summaries for data related to applicant flow, new hires, promotions, awards, training, disciplinary actions, and selection procedures., and developing plans and actions for an annual Management Directive 715.1Licence not specifiedover 2 years ago
- READ is EPA's authoritative source for information about Agency information resources, including applications/systems, datasets and models. READ is one component of the System of Registries (SoR).1Licence not specifiedover 2 years ago
- Brownfields are real property, the expansion, redevelopment, or reuse of which may be complicated by the presence or potential presence of a hazardous substance, pollutant or contaminant. This dataset shows the locations of sites, facilities and properties that have been contaminated by hazardous materials and are being, or have been, cleaned up under EPA Brownfields cleanup programs.1Licence not specifiedover 2 years ago
- EPA is conducting soil remediation: contaminated soils are being excavated and hauled offsite to an approved landfill. During soil excavation and backfill activities, we will collect air samples each day to monitor the ambient air for volatile organic compounds (VOCs). At the end of each day, the four summa canisters that have been taking readings will be sent to a lab for analysis. We are measuring approximately 30 different VOCs using the standard lab method TO-15. Results will be compared to the Michigan ambient air standards. Acronyms: AA: Ambient Air EA: Excavation Area PN: Perimeter North PNW: Perimeter Northwest PS: Perimeter South PSW: Perimeter Southwest ppb: Parts per billion RPD: Relative Percent Difference RL: Reporting Limit MDL: Method Detection Limit Qualifier definitions: *: Recovery or RPD exceeds control limits B: Compound was found in the blank and sample. J: Result is less than the RL but greater than or equal to the MDL and the concentration is an approximate value. U: Indicates the analyte was analyzed for but not detected.1Licence not specifiedover 2 years ago
- Degradation kinetics of nanocomposite in the environment. Nano-polymer composites are exposed to sunlight and oxidizing conditions that cause weathering of the polymers, leading to degradation and the release of nanoparticles. This dataset is associated with the following publication: Han, C., E. Sahle-Demessie, A. Zhao, T. Richardson, and J. Wang. Environmental aging and degradation of multiwalled carbon nanotube reinforced polypropylene. CARBON. Pergamon Press Ltd., New York, NY, USA, 129: 137-151, (2018).1Licence not specifiedover 2 years ago
- over 2 years ago
- FIAT, a Lotus Notes based database, is the electronic process that tracks and monitors the international travel approval process.1Licence not specifiedover 2 years ago
- The consultation-related information the AIEO Consultation Team working with our Tribal Portal contractors has developed a Lotus Notes Database that is capable of collecting information into requested fields and produces a report for submission to OMB.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The purpose of is this study was to evaluate the potential for biotransformation in the gastrointestinal tissues (GIT) of fish to impact chemical bioaccumulation. In vitro biotransformation of two polycyclic aromatic hydrocarbons, pyrene (PYR) and benzo[a]pyrene (BAP), and two organic sunscreen agents, 2-ethylhexyl-4-methoxycinnamate (EHMC) and octocrylene (OCT), was measured using S9 fractions isolated from liver tissue and tissues of the upper GIT in rainbow trout. For PYR, BAP, and EHMC, activity was substantially higher in liver S9 fractions than in GIT S9 fractions. For OCT, activity was highest in GIT S9 fractions. An existing in vitro-in vivo extrapolation (IVIVE) model for fish, which yields a whole-animal biotransformation rate constant (kMET), was expanded to consider biotransformation in the GIT. The kMET values obtained using measured rates of in vitro activity (liver and GIT) were in good agreement with kMET values measured in controlled in vivo experiments, providing strong support for the IVIVE approach. Moreover, inclusion of GIT activity into the model prediction for OCT resulted in much better agreement with the empirical kMET estimate than was obtained using a ‘liver only’ model. These findings suggest that current ‘liver only’ approaches to IVIVE modeling may underestimate in vivo whole-animal biotransformation rates for chemicals that undergo substantial biotransformation in the GIT. Thus, failure to consider biotransformation in the GIT may lead to overestimation of true levels of bioaccumulation. This dataset is associated with the following publication: Saunders, L., P. Fitzsimmons, J. Nichols, and F. Gobas. In vitro-in vivo extrapolation of hepatic and gastrointestinal biotrasnformation rates of hydrophobic chemicals in rainbow trout. AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 228: 1-12, (2020).1Licence not specifiedover 2 years ago
- Dataset of DNA sequence data from two mitochondrial loci (COI and 16S) used to infer the phylogeny of oysters in the genus Ostrea along the Pacific coast of North America. This dataset is not publicly accessible because: It's already publicaly available. It can be accessed through the following means: GenBank/NCBI (http://www.ncbi.nlm.nih.gov/). Accession numbers KT317088-KT317610. Format: This dataset is DNA sequence data. It is available in GenBank. Accession numbers KT317088-KT317610. This dataset is associated with the following publication: Raith, M., D. Zacherl, E. Pilgrim , and D. Eernisse. Phylogeny and species diversity of Gulf of California oysters (Ostreidae) inferred from mitochondrial DNA. American Malacological Bulletin. American Malacological Society, Arlington, VA, USA, 33(2): 263-283, (2016).1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- These files contain the environmental data as particular emissions or resources associated with a BEA sectors that are used in the USEEIO model. They are organized by the emission or resources type, as described in the manuscript. The main files (without SI) show the final "satellite tables" in the 'Exchanges' sheet which have emissions or resource use per USD for 2013. The other sheets in these files provide meta data for the create of the tables, including general information, sources, etc. The 'export' sheet is used for saving the satellite table for csv export. The data dictionary describes the fields in this sheet. The supporting files provide all the details data transformation and organization for the development of the satellite tables. This dataset is associated with the following publication: Yang, Y., W. Ingwersen, T. Hawkins, and D. Meyer. USEEIO: A new and transparent United States environmentally extended input-output model. JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 158: 308-318, (2017).1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- This dataset has several components, The first part describes fully our literature review, providing details not included in the text. The second part provides all the information we used for our literature review, including the weights assigned to each relevant article and the full bibliography. This dataset is associated with the following publication: DeJesus-Crespo, R., and R. Fulford. Eco-Health Linkages: Assessing the Role of Ecosystem Goods and Services on Human Health Using Causal Criteria Analysis. International Journal of Public Health. Springer Basel AG, Basel, SWITZERLAND, 63(1): 81-92, (2018).1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The dataset contains the outputs for the analogue searches conducted for the chemical of interest, p,p'-DDD. This dataset is associated with the following publication: Lizarraga, L., J. Dean, J. Kaiser, S. Wesselkamper, J. Lambert, and J. Zhao. A Case Study on the Application of An Expert-driven Read-Across Approach in Support of Quantitative Risk Assessment of p,p’-Dichlorodiphenyldichloroethane. REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 103: 301-313, (2019).1Licence not specifiedover 2 years ago
- Envirofacts integrates information from a variety of EPA's environmental databases. Each of these databases contains information about facilities that are required to report activity to a state or federal system. Using this API, you can retrieve informati1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- This tool to gives you access to greenhouse gas data reported to EPA by large facilities and suppliers in the United States through EPA's Greenhouse Gas Reporting Program. The tool allows you to view data in several formats including maps, tables, charts and graphs for individual facilities or groups of facilities. You can search the data set for individual facilities by name or location or filter the data set by state or county, industry sectors and sub-sectors, annual facility emission thresholds, and greenhouse gas type. For more information on the GHG Reporting Program and this data, please visit https://www.epa.gov/ghgreporting1Licence not specifiedover 2 years ago
- This file contains a summary of the publicly available data from the GHG Reporting Program for 2010. This data includes non-confidential data reported by facilities that directly emit GHGs. The files also contain non-confidential information reported by suppliers of fossil fuels and industrial gases. This excel file contains the same information available in the Data Publication Tool. The file contains the most important, high-level information reported by direct emitters and suppliers and can be easily sorted to respond to many common queries. Please visit https://www.epa.gov/ghgreporting for more information on the data.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- Table listing the location, amendment type, distribution (percentage) of lead phases identified, and fitting error (R-factor). BM=bone meal, FB=fish bone, DAP=diammonium phosphate, MAP=monoammonium phosphate, TSP=triple super phosphate, PL=poultry litter. This dataset is associated with the following publication: Obrycki, J., N. Basta, K. Scheckel , B. Stevens, and K. Minca. Phosphorus Amendment Efficacy for In Situ Remediation of Soil Lead Depends on the Bioaccessible Method. Elizabeth Guertal, David Myroid, and C. Wayne Smith JOURNAL OF ENVIRONMENTAL QUALITY. American Society of Agronomy, MADISON, WI, USA, 45(1): 37-44, (2016).1Licence not specifiedover 2 years ago
- Error Tracking System is a database used to store & track error notifications sent by users of EPA's web site. ETS is managed by OIC/OEI. OECA's ECHO & OEI Envirofacts use it. Error notifications from EPA's home Page under "Contact Us" also uses it.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- IVRS collects and tracks dates, times and topics of stateside meetings with International organizations and visitors.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- Formaldehyde column data from the Pandora spectrometer collected during the KORUS-AQ field campaign.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- Files containing daily maximum 8-hr ozone mixing ratio observations and WRF/CMAQ simulations that were contributed by EPA/ORD/NERL/CED researchers to the manuscript “On the Limit to the Accuracy of Regional Air Quality Models”. This dataset is associated with the following publication: Rao, S.T., H. Luo, M. Astitha, C. Hogrefe, V. Cover, and R. Mathur. On the limit to the accuracy of regional-scale air quality models. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 20(3): 1627–1639, (2020).1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The EPA eXcats is an enterprise-level data tracking application that provides management complaint tracking information for the EPA's Office of Civil Rights (OCR) External Compliance Program. EPA's OCR is responsible for enforcing several federal civil rights laws that together prohibit discrimination on the bases of race, color, national origin (including limited English proficiency), disability, sex and age in programs or activities that receive federal financial assistance from the EPA.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- Terminology Services provides tools and services that enable vocabulary development, maintenance and provisioning for the enterprise.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- 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).1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- EPA's Web Taxonomy is a faceted hierarchical vocabulary used to tag web pages with terms from a controlled vocabulary. Tagging enables search and discovery of EPA's Web based information assests. EPA's Web Taxonomy is being provided in Simple Knowledge Organization System (SKOS) format. SKOS is a standard for sharing and linking knowledge organization systems that promises to make Federal terminology resources more interoperable.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- These files contain the publicly available data from the GHG Reporting Program for 2010. This data includes non-confidential data reported by facilities that directly emit GHGs. The files also contain non-confidential information reported by suppliers of fossil fuels and industrial gases. The files include data in both HTML (human readable) and XML format. For more information on the GHG Reporting Program and this data, please visit http://epa.gov/ghgreporting1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The dataset contains journal article table and figure results. This dataset is associated with the following publication: Salih, H., A. El Badawy, T. Tolaymat, and C. Patterson. Removal of Stabilized Silver Nanoparticles from Surface Water by Conventional Treatment Processes. Advances in Nanoparticles. Scientific Research Publishing, Inc., Irvine, CA, USA, 8(2): 21-35, (2019).1Licence not specifiedover 2 years ago
- There are 3 data sets. Two zip files contain paired biological (benthic macroinvertebrate genera) (Data Biological.zip) and water quality data (Data Environmental.zip). These were used to estimate background specific conductivity from these state data and estimate the HC05 using the field based extirpation concentration method (USEPA 2011). The zipped files (Griffith ion MG20150729) contains two csv miles with ions summaries and ion and specific conductivity data from the combined EPA survey data. This dataset is associated with the following publication: Cormier, S., L. Zheng, R. Novak, and C. Flaherty. A flow-chart for developing water quality criteria from two field-based methods. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 633: 1647-1656, (2018).1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The XRD text files show counts per second of X-ray diffraction as a function of diffraction angle for four nanomaterials: industrial ZnO, sunscreen ZnO, industrial ZnO after algae toxicity test, sunscreen ZnO after algae toxicity test. Figure 2 in ZnO paper shows the raw data for the inhibition (%) as a function of time (h) for the nanomaterials at 10 mg/L and 50 mg/L concentrations. This dataset is associated with the following publication: Spisni, E., S. Seo, S.H. Joo, and C. Su. Release and toxicity comparison between industrial- and sunscreen-derived nano-ZnO particles. International Journal of Environmental Science and Technology. Springer, Heidelburg, GERMANY, 13: 2485-2494, (2016).1Licence not specifiedover 2 years ago
- The dataset provided by Holling(1922) includes species and body masses of boreal forest birds. It is a commonly used dataset for discontinuity analysis. This dataset is not publicly accessible because: It is secondary data accessible online. It can be accessed through the following means: All data used are freely available and located in the appendix of Holling (1992):https://esajournals.onlinelibrary.wiley.com/doi/abs/10.2307/2937313. Format: Electronic text files. This dataset is associated with the following publication: Barichievy, C., D. Angeler, T. Eason, A. Garmestani, K. Nash, C. Stow, S. Sundstrom, and C. Allen. A method to detect discontinuities in census data. Ecology and Evolution. Wiley-Blackwell Publishing, Hoboken, NJ, USA, 8(19): 9614-9623, (2018).1Licence not specifiedover 2 years ago
- The USRDS is the largest and most comprehensive national ESRD surveillance system in the US (Collins et al., 2015). The USRDS contains data on all ESRD cases in the US through the Medical Evidence Report CMS-2728 which is mandated for all new patients diagnosed with ESRD (Foley and Collins, 2013). Detailed information about the USRDS can be found on their website (http://www.usrds.org). The EQI was constructed for 2000-2005 for all US counties and is composed of five domains (air, water, built, land, and sociodemographic), each composed of variables to represent the environmental quality of that domain. Domain-specific EQIs were developed using principal components analysis (PCA) to reduce these variables within each domain while the overall EQI was constructed from a second PCA from these individual domains (L. C. Messer et al., 2014). To account for differences in environment across rural and urban counties, the overall and domain-specific EQIs were stratified by rural urban continuum codes (RUCCs) (U.S. Department of Agriculture, 2015). 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: Human health data are not available publicly. EQI data are available at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: Data stored as csv files. This dataset is associated with the following publication: Kosnik, M., D. Reif, D. Lobdell, T. Astell-Burt, X. Feng, J. Hader, and J. Hoppin. Associations between access to healthcare, environmental quality, and end-stage renal disease survival time: Proportional-hazards models of over 1,000,000 people over 14 years. PLoS ONE. Public Library of Science, San Francisco, CA, USA, 14(3): e0214094, (2019).1Licence not specifiedover 2 years ago
- COMBINE_CONC_A0_2016_without_DMS_AVG.tar – annual average model predicted concentrations without DMS chemistry COMBINE_CONC_A_2016_annual_AVG.tar – annual average model predicted concentrations with DMS chemistry GRIDCRO2D.108NHEMI2.44L.20060101.tar - file containing latitude and longitude of model grid-cell Model: The Community Multiscale Air Quality (CMAQv53) was used. It is available at https://www.epa.gov/cmaq. This dataset is associated with the following publication: Gantt, B., K. Foley, B. Henderson, H. Pye, K. Fahey, D. Kang, R. Mathur, J. Zhao, Y. Zhang, Q. Li, A. Saiz-Lopez, and G. Sarwar. Impact of dimethylsulfide chemistry on air quality over the Northern Hemisphere. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 244: 117961, (2020).1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- A toxicity/tissue residue database for aquatic organisms exposed to inorganic and organic chemicals. This database is a resource for use in the systematic investigation of hypotheses related to effect/residue relationships.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- EPA?s Integrated Risk Information System (IRIS) is a compilation of electronic reports on specific substances found in the environment and their potential to cause human health effects.1Licence not specifiedover 2 years ago
- The iComplaints system is an enterprise-level COTS (Commercial Off-The-Shelf) product that provides all of the funtionality required to collect, track, manage, process and report on information regarding internal EEO complaints in accordance with several civil rights laws and regulations, to include but not limited to, Title VII of the Civil Rights Act.1Licence not specifiedover 2 years ago
- The data set contains information about the TEM images of hydrochar alone, with phosphate (b), and with montmorillonite (c) at a pH of 6.0; SEM images of hydrochar alone (a, b), with montmorillonite (c, d), and with a combination of montmorillonite and phosphate (e, f) and the corresponding EDX spectra (g, h) at a pH of 6.0 (a, c, e, g) and 9.0 (b, d, f, h); .Capillary pressure curves (a,b) and pore size distribution determined by means of mercury intrusion porosimetry (MIP) (c,d) for the hydrochar samples prepared at pH 6.0 (a,c) and 9.0 (b,d); .FTIR spectra of the synthesized hydrochar in solutions with different pH values; Zeta potentials of hydrochar with and without montmorillonite (M) and/or phosphate (P), quartz sand and aluminum oxide-coated sand in a 10 mM NaCl solution as a function of the pH (a) and the concentrations of NaCl solution at pH 6.0 (b) and 9.0 (c); .Hydrodynamic radius of hydrochar with and without montmorillonite (M) in the absence or presence of phosphate (P) under different NaCl concentrations at pH 6.0 (a) and 9.0 (b); Observed (dots) and fitted (lines) breakthrough curves (BTCs) of 0.2 g L-1 hydrochar under different NaCl concentrations in uncoated sand (a, b) and aluminum oxide-coated sand (c, d) at pH 6.0 (a, c) and 9.0 (b, d), respectively. This dataset is associated with the following publication: Yang, J., M. Chen, H. Yang, N. Xu, G. Feng, Z. Li, C. Su, and D. Wang. Surface Heterogeneity Mediated Transport of Hydrochar Nanoparticles in Heterogeneous Porous Media. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. Ecomed Verlagsgesellschaft AG, Landsberg, GERMANY, 27(26): 32842-32855, (2020).1Licence not specifiedover 2 years ago
- Spectral fits and linear combination data for ZnO and CuO nanoparticles exposure during toxicity testing. This dataset is associated with the following publication: Ivask, A., K. Scheckel, P. Kapruwan, V. Stone, H. Yin, N. Voelcker, and E. Lombi. Complete transformation of ZnO and CuO nanoparticles in culture medium and lymphocyte cells during toxicity testing. Prof. Hakan Wallin, and Dr. Alison Elder Nanotoxicology. Informa Healthcare, London, UK, 11(2): 150-156, (2017).1Licence not specifiedover 2 years ago
- This data set contains raw data from 12 international groundwater studies that monitored for human viruses and microbial indicators. Please see the first worksheet for identification of the studies used. This dataset is associated with the following publication: Fout, S., M. Karim, and M. Borchardt. Human virus and microbial indicator occurrence in public-supply groundwater systems: meta-analysis of international studies. Hydrogeology Journal. Springer, Heidelburg, GERMANY, 25(0): 903-919, (2017).1Licence not specifiedover 2 years ago
- The Field Audit Checklist Tool (FACT) is a Windows desktop application intended to help auditors perform field audits of facilities that report data pursuant to the continuous air monitoring requirements of the Clean Air Act (40 CFR Part 75). FACT allows users to easily view monitoring plan, quality assurance and emissions data. FACT also provides access to data collected under the Mercury and Air Toxics Standards (MATS). FACT uses web services to display data via an Application Programming Interface (API). An API is a set of commands, functions, protocols, and objects that programmers can use to create software or interact with an external system. An API interprets that data and presents you with the information you wanted in a readable way.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- Short time interval comparisons of low cost sensor response and corresponding Federal Reference or Federal Equivalent Monitors at an NCOR site located in proximity to Atlanta, Georgia. Portions of this dataset are inaccessible because: The data were integrated using R. Currently there is no means of reporting "R: database in the science hub. Data are still being reviewed as part of the journal publication process. Release prior to journal acceptance could result in external parties inappropriately using the data (including sensor manufacturers who might use such data without a full understanding of its meaning). They can be accessed through the following means: Direct transfer from the Principal Investigator upon journal publication. Format: The dataset was created in R and represents an extensive short time resolution of thousands of lines of air quality measurements. In addition, the data have been integrated into a manuscript which has yet to be published. The manuscript was cleared through STICs but has not yet rec'd journal based peer review acceptance. This dataset is associated with the following publication: Jiao, W., G. Hagler, R. Williams, R. Sharpe, R. Brown, D. Garver, R. Judge, M. Caudill, J. Rickard, M. Davis, L. Weinstock, S. Zimmer-Dauphinee, and K. Buckley. Community Air Sensor Network (CAIRSENSE) project: Evaluation of low-cost sensor performance in a suburban environment in the southeastern United States. Atmospheric Measurement Techniques. Copernicus Publications, Katlenburg-Lindau, GERMANY, 9: 5282-5292, (2016).1Licence not specifiedover 2 years ago
- DNA barcoding gene sequences and files associated with their analysis1Licence not specifiedover 2 years ago
- In this study, a hypothesized adverse outcome pathway (AOP) linking inhibition of thyroid peroxidase (TPO) activity to impaired swim bladder inflation was investigated in experiments in which fathead minnows were exposed to the TPO inhibitor 2-mercaptobenzothiazole (MBT). Results show that anterior, but not posterior, swim bladder inflation was impacted by exposure to MBT supporting the development of an AOP linking a specific thyroid-disrupting molecular initiating event to a significant phenotypic outcome. Results also suggest an alternative short-term in vivo test with larval fathead minnows that could be used to screen chemicals for thyroid disrupting activity and possibly distinguish thyroid disrupting modes of action. The dataset contains information on TPO expression, thyroid hormone concentrations, and swim bladder inflation measurements in larval fathead minnows. This dataset is associated with the following publication: Nelson, K., A. Schroeder , G. Ankley , B. Blackwell, C. Blanksma, S. Degitz , K. Jensen , R. Johnson , M. Kahl , D. Knapen, P. Kosian , R. Milsk, E. Randolph, T. Saari, E. Stinckens, L. Vergauwen, and D. Villeneuve. Impaired anterior swim bladder inflation following exposure to the thyroid peroxidase inhibitor 2-Mercaptobenzothiazole Part I: Fathead minnow. AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 173: 192-203, (2016).1Licence not specifiedover 2 years ago
- Data from small lab scale tests conducted at ECBC. It contains efficacy data as well as data on env conditions such as temperature, RH, and hydrogen peroxide vapor concentration. This dataset is associated with the following publication: Wood, J., W. Calfee, S. Ryan, L. Mickelsen, M. Clayton, and V. Rastogi. A Simple Decontamination Approach Using Hydrogen Peroxide Vapor for Bacillus anthracis Spore Inactivation. JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 121(6): 1603-1615, (2016).1Licence not specifiedover 2 years ago
- This data set is an excel file pertaining to the study that examined ozone-induced systemic and pulmonary effects in rats that underwent SHAM surgery (control), adrenal demedullation or total bilateral adrenalectomy. Different pages of the spreadsheet shows individual animal data for markers of lung injury and inflammation, body weights, whole body plethysmography measurements, levels of circulating hormones and lipids, and circulating white blood cell count as well as platelet count. This dataset is associated with the following publication: Miller, D., S. Snow, M. Schladweiler , J. Richards , A. Ghio , A. Ledbetter , and U. Kodavanti. Acute Ozone-Induced Pulmonary and Systemic Metabolic Effects are Diminished in Adrenalectomized Rats#. TOXICOLOGICAL SCIENCES. Society of Toxicology, 150(2): 312-22, (2016).1Licence not specifiedover 2 years ago
- A-3txf_sequence summary.xksx: Abundance of contigs or unique sequences for each biofilm samples from anodes in the MEC reactor Hodon Waterloo final_fasta_working.docx: Raw sequences with their identification numbers RNA S1_MEC.docx: Representative sequences with their ID number and taxonomy. This dataset is associated with the following publication: Santodomingo, J., H. Ryu, B. Dhar, and H. Lee. Ohmic resistance affects microbial community and electrochemical kinetics in a multi-anode microbial electrochemical cell. JOURNAL OF POWER SOURCES. Elsevier Science Ltd, New York, NY, USA, 331: 315-321, (2016).1Licence not specifiedover 2 years ago
- Excel files and text files with lab results and model time series output data. This dataset is associated with the following publication: Avant, B., D. Bouchard, H. Hsieh, Y. Han, J. Spear, R. Zepp, C. Knightes, X. Chang, and B. Acrey. Environmental fate of multiwalled carbon nanotubes and graphene oxide across different aquatic ecosystems. NanoImpact. Elsevier B.V., Amsterdam, NETHERLANDS, 13: 1-12, (2019).1Licence not specifiedover 2 years ago
- The dataset shows the distribution of Pb phases resulting from various amendments to change Pb speciation. This dataset is associated with the following publication: Obrycki, J., K. Scheckel, and N. Basta. Soil solution interactions may limit Pb remediation using P amendments in an urban soil. David Carpenter, Eddy Zeng ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 220: 549-556, (2017).1Licence not specifiedover 2 years ago
- the dataset contains NHEERL collected data on fetal male rat gestational day 18 testicular testosterone production and related data. This dataset is associated with the following publication: spade, d., C. Yue Bai , C. Lambright, J. Conley, K. Boekelheide , and E. Gray. Validation of an automated counting procedure for phthalate-induced testicular multinucleated germ cells. TOXICOLOGY LETTERS. Elsevier Science Ltd, New York, NY, USA, 290: 55-61, (2018).1Licence not specifiedover 2 years ago
- These data accompany the manuscript 'Critical Review of Elementary Flows in LCA Data'. Each file presents a subgroup of the elementary flows (data used for analysis) and all the analysis results. Files are separated by flow types. The 'Element or Compound' types contained over 115,000 flows and was broken into three files (a, b,and c). A guide to the file contents and explanation of flow types are provided in the 'CriticalReviewofElementaryFlows_Data_Guide' file. This dataset is associated with the following publication: Edelen, A., W. Ingwersen, C. Rodriguez, R. Alvarenga, A.R. de Almeida, and G. Wernet. Critical Review of Elementary Flows in LCA data. INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT. Ecomed Verlagsgesellschaft AG, Landsberg, GERMANY, 01-13, (2017).1Licence not specifiedover 2 years ago
- Across the United States, high levels of ammonia in drinking water sources can be found. Although ammonia in water does not pose a direct health concern, ammonia nitrification can cause a number of issues and reduce the effectiveness of some treatment processes. An innovative biological ammonia-removal drinking water treatment process was developed and, after the success of a pilot study, a full-scale treatment system using the process was built in a small Iowa community. The treatment plant included a unique aeration contactor design that is able to consistently reduce ammonia from 3.3 mg of nitrogen/L to nearly nondetectable after a biofilm acclimation period. Close system monitoring was performed to avoid excess nitrite release during acclimation, and phosphate was added to enhance biological activity on the basis of pilot study findings. The treatment system is robust, reliable, and relatively simple to operate. The operations and effectiveness of the treatment plant were documented in the study. This dataset is associated with the following publication: Lytle , D., D. Williams , C. Muhlen , M. Pham , K. Kelty , M. Wildman, G. Lang, M. Wilcox, and M. Kohne. The Full-Scale Implementation of an Innovative Biological Ammonia Treatment Process. Journal AWWA. American Water Works Association, Denver, CO, USA, 107(12): E648-E665, (2015).1Licence not specifiedover 2 years ago
- Data related to the effects of peri-implantation ozone exposure on maternal and fetal health outcomes at the end of gestation. This dataset is associated with the following publication: Miller, C., J. Dye, A. Ledbetter, M. Schladweiler, J. Richards, S. Snow, C. Wood, A. Henriquez, L. Thompson, A. Farraj, M. Hazari, and U. Kodavanti. Uterine Artery Flow and Offspring Growth in Long-Evans Rats following Maternal Exposure to Ozone during Implantation. ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 125(12): 127005, (2017).1Licence not specifiedover 2 years ago
- This is a collection of over 290,000 hazard data records compiled for the Alternatives Assessment Dashboard. The hazard data includes records for human health, ecotoxicity, and fate. The human health records include records for Acute mammalian toxicity, Carcinogenicity, Mutagenicity, Endocrine disruption, Reproductive toxicity, Developmental toxicity, Neurotoxicity, Systemic toxicity, Skin sensitization, Skin irritation, and Eye irritation. The ecotoxicity records include records for acute and chronic aquatic toxicity. The fate records include records for persistance and bioaccumulation. The source of the hazard records include GHS (Globally Harmonized System) hazard codes, hazard categories, quantitative toxicity data, and predicted toxicity data.1Licence not specifiedover 2 years ago
- 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).1Licence not specifiedover 2 years ago
- individual values for liver detoxification for each human sample and for each chemical. This dataset is associated with the following publication: Moser, G., and S. Padilla. Esterase detoxification of acetylcholinesterase inhibitors using human liver samples in vitro. TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 11-20, (2016).1Licence not specifiedover 2 years ago
- Contains all subject data used the journal paper, including all ozone and meteorological data. This dataset is associated with the following publication: Lu, X., A. Gelfand, and D. Holland. Local real‐time forecasting of ozone exposure using temperature data. ENVIRONMETRICS. John Wiley & Sons Incorporated, New York, NY, USA, 29(7): e2509, (2018).1Licence not specifiedover 2 years ago
- The widespread use of copper-treated lumber has increased the potential for human exposure. Moreover, there is a lack of information on the fate and behavior of copper-treated wood particles following oral ingestion. In this study, the in vitro bioaccessibility of copper from copper-treated wood dust in simulated stomach fluid and DI water was determined. Three copper-treated wood products, liquid alkali copper quaternary and two micronized copper quarternary from different manufacturers, were incubated in the extraction media then fractionated by centrifugation and filtration through 0.45 m and 10 kDa filters. The copper concentrations from isolated fractions were measured using Inductively Coupled Plasma-Optical Emission Spectrometry (ICP-OES). Total amounts of copper from each wood product were also determined using microwave-assisted acid digestion of dried wood samples and quantification using ICP-OES. The percent in vitro bioaccessible copper was between 83 and 90 % for all treated wood types. However, the percent of copper released in DI water was between 14 and 25 % for all wood products. This data suggests that copper is highly bioaccessible at low pH and may pose a potential human exposure risk upon ingestion. This dataset is associated with the following publication: Santiago-Rodrigues, L., J.L. Griggs, K. Bradham , C. Nelson , T. Luxton , W. Platten , and K. Rogers. Assessment of the bioaccessibility of micronized copper wood in synthetic stomach fluid. Environmental Nanotechnology, Monitoring and Management. Elsevier B.V., Amsterdam, NETHERLANDS, 4: 85-92, (2015).1Licence not specifiedover 2 years ago
- The dataset describes physical and chemical properties of soils used in the study, removal efficiencies of PAHs, changes of microbe counts in soil after oxidation treatments, and concentrations of total PAHs in soil after oxidation treatments. This dataset is associated with the following publication: Liao, X., Z. Wu, Y. Li, H. Cao, and C. Su. Effect of various chemical oxidation reagents on soil indigenous microbial diversity in remediation of soil contaminated by PAHs. CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 226: 483-491, (2019).1Licence not specifiedover 2 years ago
- The data are stored as a SAS dataset containing PII. The dataset contains baseline questionnaire, monthly follow-up questionnaire data, and results and salivary antibody tests for IgG and IgA response to selected antigens of potentially waterborne pathogens. 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: The study database include baseline questionnaire, monthly follow-up questionnaire, and results of salivary antibody tests for 1,986 study participants. The dataset contains PII data. The data are stored as a SAS database. This dataset is associated with the following publication: Egorov, A., S. Griffin, H. Ward, K. Reilly, G.S. Fout, and T. Wade. Application of a salivary immunoassay in a prospective community study of waterborne infections. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 142: 289-300, (2018).1Licence not specifiedover 2 years ago
- Seagrass detection using commercial satellite imagery from WorldView-2 (2 m) and RapidEye (6.5 m). This dataset is associated with the following publication: Coffer, M., B. Schaeffer, R.C. Zimmerman, V. Hill, J. Li, K.A. Islam, and P. Whitman. Performance across WorldView-2 and RapidEye for reproducible seagrass mapping. REMOTE SENSING OF ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 250: 112036, (2020).1Licence not specifiedover 2 years ago
- St. Louis River Area of Concern surface water nutrient (TP, TN, NOx-N, NH4-N), dissolved oxygen, and particulate (TSS, chlorophyll a) concentration data from 2012 and 2013 reported in Bellinger et al. 2016, Journal of Great Lakes Research 42:28-38. This dataset is associated with the following publication: Bellinger, B., J. Hoffman , T. Angradi , D. Bolgrien , M. Starry, C. Elonen , T. Jicha , L. Lehto, L. Seifert-Monson, M. Pearson , L. Anderson, and B. Hill. Water quality in the St. Louis River Area of Concern (AOC), Lake Superior: An historical perspective with assessment implications. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 42(1): 28-38, (2016).1Licence not specifiedover 2 years ago
- Concentrations of individual fine particulate matter components in the United States around July 4thData used in these analyses was obtained from publically-available sources, specifically the EPA's AirNow website (https://www.epa.gov/outdoor-air-quality-data). The dataset provided includes the subset of data from AirNow that was used in our analyses. This dataset is associated with the following publication: Dickerson, A., A. Benson, B. Buckley, and E. Chan. Concentrations of individual fine particulate matter components in the United States around July 4th. Air Quality, Atmosphere & Health. Springer Netherlands, NETHERLANDS, 1-10, (2016).1Licence not specifiedover 2 years ago
- Onset HOBO Model U24-01 in-river sondes were deployed to measure water temperature and electrical conductivity at each of the ISCO sampling sites at 5 min intervals. This dataset is associated with the following publication: Landis , M., A. Kamal, K. Kovalcik , C. Croghan , G. Norris , and A. Bergdale. The Impact of Commercially Treated Oil and Gas Produced Water Discharges on Bromide Concentrations and Modeled Brominated Trihalomethane Disinfection Byproducts at two Downstream Municipal Drinking Water Plants in the Upper Allegheny River, Pennsylvania, USA. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 542(2016): 505-520, (2016).1Licence not specifiedover 2 years ago
- Linear combination fitting results of synchrotron data to determine arsenic speciation in soil samples. This dataset is associated with the following publication: Whitacre, S., N. Basta, B. Stevens, V. Hanley, R. Anderson, and K. Scheckel. Modification of an Existing In vitro Method to Predict Relative Bioavailable Arsenic in Soils. Jacob de Boer, and Shane Snyder CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 180: 545-552, (2017).1Licence not specifiedover 2 years ago
- A YSI Model 556 multi-parameter instrument was utilized to collect traceable temperature compensated specific conductivity (SC) readings to scale each Onset in-river sonde using manufacturer provided HOBOware® Conductivity Assistant software. The YSI instrument was calibrated each morning using YSI-3161 1000 μS cm−1 standard solution, checked again each night, and checked weekly using YSI-3165 100,000 μS cm−1 standard solution. Daily calibration check precision (n = 42) was 98 ± 2% (mean ± standard deviation), and the weekly high range linearity check precision (n = 9) was 95 ± 4%. This dataset is associated with the following publication: Landis , M., A. Kamal, K. Kovalcik , C. Croghan , G. Norris , and A. Bergdale. The Impact of Commercially Treated Oil and Gas Produced Water Discharges on Bromide Concentrations and Modeled Brominated Trihalomethane Disinfection Byproducts at two Downstream Municipal Drinking Water Plants in the Upper Allegheny River, Pennsylvania, USA. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 542(2016): 505-520, (2016).1Licence not specifiedover 2 years ago
- Three recent IARC Working Groups pioneered inclusion of the US Environmental Protection Agency (EPA) ToxCast program high-throughput screening (HTS) data to supplement other mechanistic evidence. In Monograph V110, HTS profiles were compared between perfluorooctanoic acid (PFOA) and prototypical activators across multiple nuclear receptors. For Monograph V112-113, HTS assays were mapped to 10 key characteristics of carcinogens identified by an IARC expert group, and systematically considered as an additional mechanistic data stream. This dataset is not publicly accessible because: The data is generated by external authors from existing public data sources. It can be accessed through the following means: Data is available in existing public data sources. Format: N/A. This dataset is associated with the following publication: Chiu, W., K. Guyton, M. Martin, D. Reif, and I. Rusyn. (ALTEX) Use of High-throughput in vitro toxicity screening data in cancer hazard evaluations by the IARC Monograph Working Groups. ALTEX. Society ALTEX Edition, Kuesnacht, SWITZERLAND, 35(1): 51-64, (2018).1Licence not specifiedover 2 years ago
- These data were exported from Deep Lake Explorer and include all comments made by volunteers on Deep Lake Explorer's Talk forum prior to 9/12/2019. A data dictionary is included as a separate sheet within this spreadsheet. See R script for data analysis. This dataset is associated with the following publication: Wick, M., T. Angradi, M. Pawlowski, D. Bolgrien, R. Debbout, J. Launspach, and M. Nord. Deep Lake Explorer: A web application for crowdsourcing the classification of benthic underwater video from the Laurentian Great Lakes. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 46(5): 1469-1478, (2020).1Licence not specifiedover 2 years ago
- This dataset contains information about all the features extracted from the raw data files, the formulas that were assigned to some of these features, and the candidate compounds that correspond to those formulas. Data sources, bioactivity, exposure estimates, functional uses, and predicted and observed retention times are available for all candidate compounds. This dataset is associated with the following publication: Newton, S., R. McMahen, J. Sobus, K. Mansouri, A. Williams, A. McEachran, and M. Strynar. Suspect Screening and Non-Targeted Analysis of Drinking Water Using Point-Of-Use Filters. ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 234: 297-306, (2018).1Licence not specifiedover 2 years ago
- Each sheet in the current spreadsheet contains data that was generated by the USEPA ORD and used in the manuscript entitled: Particle and Vapor Emissions from Vat Polymerization Desktop-scale 3-Dimensional Printers. For the research project the USEPA ORD was responsible for identifying the elemental composition and concentration for each of the 5 different resin used in the project. The chemical composition and concentration were determined for the as purchased uncured resin and a cured resin printed object. Data produced from the research that was included in the manuscript was presented in Table 3. Identities of elements in bulk feedstock resin, airborne particles emitted during vat polymerization 3-D printing, and printed objects; and Supporting Information Table S5 Elemental content of bulk grey liquid resins and printed solid objects by ICP analysis (mg/kg) The data presented in Table 3 is presented in Sheet2 and the data presented in Table S5 is located in Sheet3. This dataset is associated with the following publication: Stefaniak, A.B., L.N. Bowers, A.K. Knepp, T.P. Luxton, D.M. Peloquin, E.J. Baumann, J.E. Ham, J.R. Wells, A.R. Johnson, R.F. LeBouf, F.-. Su, S.B. Martin Jr., and M.A. Virji. Particle and vapor emissions from vat polymerization desktop-scale 3-dimensional printers. JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE. Taylor & Francis, Inc., Philadelphia, PA, USA, 16(8): 519-531, (2019).1Licence not specifiedover 2 years ago
- THIS DATA ASSET NO LONGER ACTIVE: This is metadata documentation for the National Priorities List (NPL) Publication Assistance Databsae (PAD), a Lotus Notes application that holds Region 7's universe of NPL site information such as site description, threats and contaminants, cleanup approach, environmental process, community involvement, site repository, and regional contacts. This database used to be updated annually, at different times for different NPLs, but it is currently no longer being used. This work fell under objectives for EPA's 2003-2008 Strategic Plan (Goal 3) for Land Preservation & Restoration, which are to clean up and reuse contaminated land.1Licence not specifiedover 2 years ago
- Particle size distribution expressed as number concentration per size bin. This dataset is associated with the following publications: Pillai, P., V. Aneja, J. Walker , and A. Khlystov. Observation and Analysis of Particle Nucleation at a Forest Site in the Southeast U.S.. Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir, TURKEY, 4(2): 72-93, (2013). Yu, F., and J. Walker. Spring and summer contrast in new particle formation over nine forest areas in North America. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 15(24): 13993-14003, (2105). Sullivan, R., P. Crippa, A.G. Hallar, L. Clarisse, W.R. Leaitch, J. Walker, A. Khlystov, and S.C. Pryor. Using satellite-based measurements to explore spatiotemporal scales and variability of drivers of new particle formation. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 121(20): 12217-12235, (2016).1Licence not specifiedover 2 years ago
- This dataset provides zooplankton density and biomass information for each station visited during the three past Lake Superior CSMI surveys summarized by major taxonomic groups. Also included is the design weights for the surveys, which allow you to do the various statistical tests that we did in the paper. This dataset is associated with the following publication: Pawlowski, M., and M. Sierszen. A lake-wide approach for large lake zooplankton monitoring: Results from the 2006–2016 Lake Superior Cooperative Science and Monitoring Initiative surveys. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 46(4): 1015-1027, (2020).1Licence not specifiedover 2 years ago
- Nitrogen dioxide (NO2) concentrations relative to near road sites in Research Triangle area of North Carolina. This dataset is associated with the following publication: Smith, L., S. Mukerjee , K. Kovalcik , E. Sams , C. Stallings , E. Hudgens , J. Scott , T. Krantz , and L. Neas. Near-road measurements for nitrogen dioxide and its association with traffic exposure zones. Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir, TURKEY, 6: 1082-1086, (2015).1Licence not specifiedover 2 years ago
- Data for the 9 figures contained in the paper, A SOFTWARE FRAMEWORK FOR ASSESSING THE RESILIENCE OF DRINKING WATER SYSTEMS TO DISASTERS WITH AN EXAMPLE EARTHQUAKE CASE STUDY. This dataset is associated with the following publication: Klise, K., M. Bynum, D. Moriarty, and R. Murray. A SOFTWARE FRAMEWORK FOR ASSESSING THE RESILIENCE OF DRINKING WATER SYSTEMS TO DISASTERS WITH AN EXAMPLE EARTHQUAKE CASE STUDY. ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science, New York, NY, 95: 420-431, (2017).1Licence not specifiedover 2 years ago
- This dataset consists of the non confidential identities of chemical substances submitted under the Toxic Substances Control Act (TSCA). TSCA was enacted to ensure that chemicals manufactured, imported, processed, or distributed in commerce, or used or disposed of in the United States do not pose any unreasonable risks to human health or the environment. EPA adds chemical substances to the TSCA Inventory following EPAs receipt of a Notice of Commencement (NOC) signaling the manufacturers intent to produce a chemical substance that EPA has previously reviewed and approved. Since EPA published the final TSCA Inventory Reporting Rule on December 23, 1977, the TSCA Inventory has grown to include the identities of over 83, 000 chemical substances.1Licence not specifiedover 2 years ago
- This dataset provides the basic building blocks for the USEEIO v1.1 model and life cycle results per $1 (2013 USD) demand for all goods and services in the model in the producer's price (see BEA 2015). The methodology underlying USEEIO is described in Yang, Ingwersen et al., 2017, with updates for v1.1 described in documentation supporting other USEEIO v1.1 datasets. This dataset is in the form of standard matrices. USEEIOv1.1 uses original names for goods and services, to distinguish them from the sector names provided by BEA which reflect industry names and not commodity names, but the BEA codes are maintained. The main model matrices are in green, A, B, and C; the result matrices are in gold, D, L, LCI, and U. Aggregate data quality scores are presented for B, D and U matrices in peach. Data quality scores use the US EPA data quality asssessment system, see US EPA 2016. Aggregated scores are calculated using a flow-weighted average approach as described in Edelen and Ingwersen 2017. References BEA (2015). Detailed Make and Use Tables in Producer Prices, 2007, Before Redefinitions. Bureau of Economic Analysis. https://www.bea.gov/iTable/index_industry_io.cfm Edelen, A. and W. Ingwersen (2017). "The creation, management and use of data quality information for life cycle assessment." International Journal of Life Cycle Assessment. http://dx.doi.org/10.1007/s11367-017-1348-1 US EPA 2016. Guidance on Data Quality Assessment for Life Cycle Inventory Data. US Environmental Protection Agency, National Risk Management Research Laboratory, Life Cycle Assessment Research Center, Washington, DC. https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=321834 Yang, Y., Ingwersen, W. W., Hawkins, T. R., Srocka, M., & Meyer, D. E. (2017). USEEIO: A new and transparent United States environmentally-extended input-output model. Journal of Cleaner Production, 158, 308-318. http://dx.doi.org/10.1016/j.jclepro.2017.04.150. This dataset is associated with the following publication: Yang, Y., W. Ingwersen, T. Hawkins, and D. Meyer. USEEIO: A new and transparent United States environmentally extended input-output model. JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 158: 308-318, (2017).1Licence not specifiedover 2 years ago
- This dataset is part of the USEEIO v1.1 model release. It provides the elementary flows used in the USEEIO v1.1 Satellite Tables (DOI: 10.23719/1365565) and their matching characterization factors for the various indicators. The indicators are described and categorized. An original mapping file is also provided that shows the correspondence between original source names for resources, emissions, land, etc and USEEIO elementary flows. This dataset supersedes USEEIO Elementary Flows and Life Cycle Impact Assessment (LCIA) Characterization Factors(https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B8A87EE76-F047-43E1-A4B3-9D83BAE110C4%7D). It can be exported as a .csv file and used with the exported satellite tables and BEA 2007 Make and Use tables to build USEEIO v1.1 using the IO Model Builder (https://github.com/USEPA/IO-Model-Builder). This dataset is associated with the following publication: Yang, Y., W. Ingwersen, T. Hawkins, and D. Meyer. USEEIO: A new and transparent United States environmentally extended input-output model. JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 158: 308-318, (2017).1Licence not specifiedover 2 years ago
- Files included are original data inputs on stream fishes (fish_data_OEPA_2012.csv), water chemistry (OEPA_WATER_2012.csv), geographic data (NHD_Plus_StreamCat); modeling files for generating predictions from the original data, including the R code (MVP_R_Final.txt) and Stan code (MV_Probit_Stan_Final.txt); and the model output file containing predictions for all NHDPlus catchments in the East Fork Little Miami River watershed (MVP_EFLMR_cooc_Final). This dataset is associated with the following publication: Martin, R., E. Waits, and C. Nietch. Empirically-based modeling and mapping to consider the co-occurrence of ecological receptors and stressors. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 613(614): 1228-1239, (2018).1Licence not specifiedover 2 years ago
- Compares results of bioassay with hormones measured using analytical chemistry. This dataset is associated with the following publication: Conley, J., H. Mash , N. Evans , K. Schenck , L. Rosenblum, S. Glassmeyer , E.T. Furlong, D.W. Kolpin, and V. Wilson. Comparison of in vitro estrogenic activity and estrogen concentrations in source and treated waters from 25 U.S. drinking water treatment plants. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, N/A, (2016).1Licence not specifiedover 2 years ago
- Data sets used to prepare illustrative figures for the overview article “Multiscale Modeling of Background Ozone” Overview The CMAQ model output datasets used to create illustrative figures for this overview article were generated by scientists in EPA/ORD/CEMM and EPA/OAR/OAQPS. The EPA/ORD/CEMM-generated dataset consisted of hourly CMAQ output from two simulations. The first simulation was performed for July 1 – 31 over a 12 km modeling domain covering the Western U.S. The simulation was configured with the Integrated Source Apportionment Method (ISAM) to estimate the contributions from 9 source categories to modeled ozone. ISAM source contributions for July 17 – 31 averaged over all grid cells located in Colorado were used to generate the illustrative pie chart in the overview article. The second simulation was performed for October 1, 2013 – August 31, 2014 over a 108 km modeling domain covering the northern hemisphere. This simulation was also configured with ISAM to estimate the contributions from non-US anthropogenic sources, natural sources, stratospheric ozone, and other sources on ozone concentrations. Ozone ISAM results from this simulation were extracted along a boundary curtain of the 12 km modeling domain specified over the Western U.S. for the time period January 1, 2014 – July 31, 2014 and used to generate the illustrative time-height cross-sections in the overview article. The EPA/OAR/OAQPS-generated dataset consisted of hourly gridded CMAQ output for surface ozone concentrations for the year 2016. The CMAQ simulations were performed over the northern hemisphere at a horizontal resolution of 108 km. NO2 and O3 data for July 2016 was extracted from these simulations generate the vertically-integrated column densities shown in the illustrative comparison to satellite-derived column densities. CMAQ Model Data The data from the CMAQ model simulations used in this research effort are very large (several terabytes) and cannot be uploaded to ScienceHub due to size restrictions. The model simulations are stored on the /asm archival system accessible through the atmos high-performance computing (HPC) system. Due to data management policies, files on /asm are subject to expiry depending on the template of the project. Files not requested for extension after the expiry date are deleted permanently from the system. The format of the files used in this analysis and listed below is ioapi/netcdf. Documentation of this format, including definitions of the geographical projection attributes contained in the file headers, are available at https://www.cmascenter.org/ioapi/ Documentation on the CMAQ model, including a description of the output file format and output model species can be found in the CMAQ documentation on the CMAQ GitHub site at https://github.com/USEPA/CMAQ. This dataset is associated with the following publication: Hogrefe, C., B. Henderson, G. Tonnesen, R. Mathur, and R. Matichuk. Multiscale Modeling of Background Ozone: Research Needs to Inform and Improve Air Quality Management. EM Magazine. Air and Waste Management Association, Pittsburgh, PA, USA, 1-6, (2020).1Licence not specifiedover 2 years ago
- The Engine and Vehicle Compliance Certification and Fuel Economy Inventory contains measured emissions and fuel economy compliance information for light duty vehicles. Data is collected by EPA to certify compliance with the applicable fuel economy provisions of the Energy Policy and Conservation Act (EPCA) and The Energy Independent Security Act of 20071Licence not specifiedover 2 years ago
- A set of three proposed "hub" key events were used to link together a series of example adverse outcome pathway (AOP) descriptions that were previously not linked in an AOP network. While there are no data associated with this product, the relevant adverse outcome pathway descriptions can be found at aopwiki.org. This dataset is not publicly accessible because: This product is a workshop report. There are no data associated with this product. It can be accessed through the following means: AOP descriptions that illustrate concepts discussed in this paper can be accessed via aopwiki.org. Format: There are no data associated with this product. This dataset is associated with the following publication: Villeneuve, D., B. Landesmann, P. Allavena, N. Ashley, A. Bal-Price, E. Corsini, S. Halappanavar, T. Hussell, D. Laskin, T. Lawrence, D. Nikolic-Paterson, M. Pallardy, A. Paini, R. Pieters, R. Roth, and F. Tschudi-Monnet. Representing the process of inflammation as key events in adverse outcome pathways. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 163(2): 346-352, (2018).1Licence not specifiedover 2 years ago
- A representative group of multicyclic aromatic hydrocarbons (MAHC) which can be further classified as bridged-ring (bridged-MAHC) or fused-ring (fused-MAHC) were examined for their ability to interact with the estrogen receptor of rainbow trout (rtER) in a hepatic cytosolic estrogen receptor competitive binding assay (cyto rtERαβ) and the vitellogenin (Vtg) mRNA gene activation liver slice assay. All five fused-MAHCs; naphthalene (NAFT), fluorene (FE), Fluoranthene (FAT), pyrene (PY), and 9,10-dihydroanthracene (DAC) had no estrogenic activity in the in vitro assays used. Five of the eight bridged-MAHCs; triphenylethylene (3PE), o-terphenyl (OTP), triphenylmethane (TPM), 1,1-diphenylethylene (DPE), and cis-stilbene (CSB) were estrogenic in these assays. The additional three bridged-MAHC’s; trans-stilbene (TSB), tetraphenylethylene (4PE), and 4,4-di-tertbutylphenyl (DtBB) were determined to be non-binders due to isomeric configuration, solubility limitation, and possible steric hinderance. This first report of the rtER-binding of bridged-MAHCs in fish demonstrates binding for a class of chemicals normally not thought of as having an affinity for the estrogen receptor and further supports the versatility or promiscuity of ER ligand selectivity. This dataset is associated with the following publication: Kolanczyk, R., J. Denny, B. Sheedy, P. Schmieder, and M. Tapper. Estrogenic activity of multicyclic aromatic hydrocarbons in rainbow trout (Oncorhynchus mykiss) in vitro assays. AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 207: 43-51, (2019).1Licence not specifiedover 2 years ago
- This dataset contains 60-min locomotor response data for all control, chemical and particulate-extract-treated zebrafish. This dataset is associated with the following publication: Stevens, J., S. Padilla, D. DeMarini, D. Hunter, K. Martin, L. Thompson, I. Gilmour, M. Hazari, and A. Farraj. Zebrafish Locomotor Responses Reveal Irritant Effects of Fine Particulate Matter Extracts and a Role for TRPA1. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 161(2): 290-299, (2018).1Licence not specifiedover 2 years ago
- Data provided for Figures and Tables in the manuscript. This dataset is associated with the following publication: Ghimire, S., and J. Johnston. Sustainability assessment of agricultural rainwater harvesting: Evaluation of alternative crop types and irrigation practices. PLoS ONE. Public Library of Science, San Francisco, CA, USA, 14(5): e0216452, (2019).1Licence not specifiedover 2 years ago
- This asset includes all data collected by EPA in support of this program to address greenhouse gas emissions, fuel consumption, and criteria pollutants (NOx and PM) associated with ground freight transportation operations.1Licence not specifiedover 2 years ago
- This tool is intended to aid individuals interested in learning more about chemicals that are manufactured or imported into the United States. Health and safety information on these chemicals, primarily in the form of paper documents, are routinely submitted by industry (manufacturers or importers of chemicals) to EPA under the Toxic Substances Control Act (TSCA). EPA is in the process of converting these documents into electronic form and making non-confidential versions of these documents accessible through this tool. The tool enables users to conduct both full text and metadata searches of these documents, and presents these as .pdf for viewing or downloading. The tool also queries existing EPA legacy database sources of chemical information and presents these data in a consistent format.1Licence not specifiedover 2 years ago
- This dataset is for an analysis that used the MARKAL linear optimization model to compare the carbon emissions profiles and system-wide global warming potential of the U.S. energy system over a series of model runs in which the power sector is required to meet a specific carbon dioxide reduction target across a number of scenarios in which the availability of natural gas changes. Scenarios are run with carbon dioxide emissions and a range of upstream methane emission leakage rates from natural gas production along with upstream methane and carbon dioxide emissions associated with production of coal and oil. This dataset is associated with the following publication: Lenox , C., and O. Kaplan. Role of natural gas in meeting an electric sector emissions reduction strategy and effects on greenhouse gas emissions. Energy Economics. Elsevier B.V., Amsterdam, NETHERLANDS, 60: 460-468, (2016).1Licence not specifiedover 2 years ago
- Well sampling data. This dataset is associated with the following publication: Faulkner, B.R., J.R. Brooks, D.M. Keenan, and K.J. Forshay. Temperature Decrease along Hyporheic Pathlines in a Large River Riparian Zone. ECOHYDROLOGY. Wiley Interscience, Malden, MA, USA, 13(1): 1-10, (2020).1Licence not specifiedover 2 years ago
- Location and date associated with carbon and nitrogen stable isotope ratios of European flounder larvae and potential sources of organic matter supporting their diet, as well as outputs of the stable isotope mixing model to quantify the diet contributions from the various sources of organic matter. This dataset is associated with the following publication: Dias, E., A.G. Barros, J. Hoffman, C. Antunes, and P. Morais. Habitat use and food sources of European flounder larvae across an estuarine gradient. Regional Studies in Marine Science. Elsevier B.V., Amsterdam, NETHERLANDS, 34: 101196, (2020).1Licence not specifiedover 2 years ago
- The Mobile Source Emissions Regulatory Compliance Data Inventory data asset contains measured summary compliance information on light-duty, heavy-duty, and non-road engine manufacturers by model, as well as fee payment data required by Title II of the 1990 Amendments to the Clean Air Act, to certify engines for sale in the U.S. and collect compliance certification fees. Data submitted by manufacturers falls into 12 industries: Heavy Duty Compression Ignition, Marine Spark Ignition, Heavy Duty Spark Ignition, Marine Compression Ignition, Snowmobile, Motorcycle & ATV, Non-Road Compression Ignition, Non-Road Small Spark Ignition, Light-Duty, Evaporative Components, Non-Road Large Spark Ignition, and Locomotive. Title II also requires the collection of fees from manufacturers submitting for compliance certification. Manufacturers submit data on an annual basis, to document engine model changes for certification. Manufacturers also submit compliance information on already certified in-use vehicles randomly selected by the EPA (1) year into their life and (4) years into their life to ensure that emissions systems continue to function appropriately over time.The EPA performs targeted confirmatory tests on approximately 15% of vehicles submitted for certification. Confirmatory data on engines is associated with its corresponding submission data to verify the accuracy of manufacturer submission beyond standard business rules.Section 209 of the 1990 Amendments to the Clean Air Act grants the State of California the authority to set its own standards and perform its own compliance certification through the California Air Resources Board (CARB). Currently manufacturers submit compliance information separately to both the EPA and CARB. Currently, data harmonization occurs between EPA data and CARB data only for Motorcycle & ATV submissions.Submitted data comes in XML format or as documents, with the majority of submissions being sent in XML. Data includes descriptive information on the engine itself, as well as on manufacturer testing methods and results. Submissions may include information (CBI) such as information on estimated sales, new technologies, catalysts and calibration, or other data elements indicated by the submitter as confidential. CBI data is not publically available, but it is available within EPA under the restrictions of the Office of Transportation and Air Quality (OTAQ) CBI policy [RCS Link]. Pollution emission data covers a range of Criteria Air Pollutants (CAPs) including carbon monoxide, hydrocarbons, nitrogen oxides, and particulate matter. Datasets are segmented by vehicle/engine model and year, with corresponding emission, test, and certification data. Data assets are primarily stored in EPA's Verify system. Data collected from the Heavy Duty Compression Ignition, Marine Spark Ignition, Heavy Duty Spark Ignition, Marine Compression Ignition, and Snowmobile industries, however, are currently stored in legacy systems the will be migrated to Verify in the future.Coverage began in 1979, with early records being primarily paper documents that did not go through the same level of validation as the digital submissions that began in 2005.Mobile Source Emissions Compliance documents with metadata, certificate and summary decision information is made available to the public through EPA.gov via the OTAQ Document Index System (http://iaspub.epa.gov/otaqpub/).1Licence not specifiedover 2 years ago
- This paper first presents the background information for UISIS-PNP model by discussing different types of boilers installed throughout the pulp and paper sector, the air emissions from these boilers, and the menu of air pollution control technologies applicable to the boilers. The paper then presents examples of air pollution reduction strategies, followed by an analysis of the benefits of emission reduction strategies. These examples are given to illustrate modeling capabilities of the UISIS-PNP model and should not be construed as actual emission reduction strategy considerations by EPA. This dataset is associated with the following publication: Bhander , G., and W. Jozewicz. Analysis of Emissions Reduction Strategies for Power Boilers in the U.S. Pulp and Paper Industry.. Energy and Emission Control Technologies. Dove Medical Press, AUCKLAND, NEW ZEALAND, 2017(5): 27-37, (2017).1Licence not specifiedover 2 years ago
- Data corresponding to the figures in the paper. This dataset is associated with the following publication: Jolin, W., and M. Kaminski. Sorbent Materials for Rapid Remediation of Washwater during Radiological Event Relief. Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 165-171, (2016).1Licence not specifiedover 2 years ago
- This file contains value of the model training set confusion matrix, domain of applicability evaluation based on training set to predicted chemicals structural similarity, and 75th percentile bioactivity index values for each QSUR model. This dataset is associated with the following publication: Phillips, K., J. Wambaugh, C. Grulke, K. Dionisio, and K. Isaacs. High-throughput screening of chemicals as functional substitutes using structure-based classification models. GREEN CHEMISTRY. Royal Society of Chemistry, Cambridge, UK, 19: 1063-1074, (2017).1Licence not specifiedover 2 years ago
- U.S. municipal solid waste data for the year 2012. This dataset is associated with the following publication: Smith , R., D. Sengupta, S. Takkellapati , and C. Lee. An industrial ecology approach to municipal solid wastemanagement: I. Methodology. Resources, Conservation and Recycling. Elsevier Science BV, Amsterdam, NETHERLANDS, 104: 311-316, (2015).1Licence not specifiedover 2 years ago
- The Title V Permitting Statistics Inventory contains measured and estimated nationwide statistical data, consisting of counts of permitted sources, types of permits issued, and the timeliness of permit issuance, for the operating permits programs being implemented under CAA authority (40 CFR parts 70 and 71). This data is non-source specific. The statutory authority leading to the collection of this information comes from Title V of the Clean Air Act.Prior to July 2008, data collected on state permit programs (part 70) was not equivalent to that collected when EPA was the permitting agency (part 71). Current system includes semiannual data from 2006-present; prior data is archived.Data is currently not publicly available, certain statistical data has been made available in the past, but not currently. This data is mostly used for ICR and PART reporting purposes.1Licence not specifiedover 2 years ago
- This dataset represents the data underlying the figures presented in the manuscript "The potential role of natural gas power plants with carbon capture and storage as a bridge to a low-carbon future." The manuscript itself is a parametric analysis examining this technology under various technological and contextual assumptions. This dataset is associated with the following publication: Babaee, S., and D. Loughlin. Exploring the role of natural gas power plants with carbon capture and storage as a bridge to a low-carbon future. CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY. Springer-Verlag, New York, NY, USA, 20(2): 379-391, (2017).1Licence not specifiedover 2 years ago
- This file contains the individual classifications done by users on Zooniverse for the video clip subjects. Metadata is in the file as a separate spreadsheet. See R script for data analysis. This dataset is associated with the following publication: Wick, M., T. Angradi, M. Pawlowski, D. Bolgrien, R. Debbout, J. Launspach, and M. Nord. Deep Lake Explorer: A web application for crowdsourcing the classification of benthic underwater video from the Laurentian Great Lakes. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 46(5): 1469-1478, (2020).1Licence not specifiedover 2 years ago
- There are different audience categories including USEPA Regional staff and ORD research staff that may be interested in the effects of hydroxyl radical scavenging by solid surfaces in heterogeneous oxidative treatment systems. Other technical experts that may use the data to better understand the fate and transport of hydroxyl radicals under various heterogeneous geochemical systems. This dataset is associated with the following publication: Rusevova Crincoli, K., and S.G. Huling. Hydroxyl radical scavenging by solid mineral surfaces in oxidative treatment systems: Rate constants and implications. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 169: 1-9, (2020).1Licence not specifiedover 2 years ago
- 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).1Licence not specifiedover 2 years ago
- This is the post-processed mobile air monitoring data, with the methods described in the science journal publication. This dataset is associated with the following publication: Brantley, H., G. Hagler, S. Herndon, P. Massoli, M. Bergin, and A. Russell. Characterization of Spatial Air Pollution Patterns Near a Large Railyard Area in Atlanta, Georgia. International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel, SWITZERLAND, 16(4): 535, (2019).1Licence not specifiedover 2 years ago
- PM2.5 (fine) and PM10-2.5 (coarse) mass concentrations for monitoring sites located 10 m, 100 m and 300 m north of Interstate I-96 in Detroit, the water-soluble and acid-soluble elemental species concentrations for each, and results of factor analysis using these data. This dataset is associated with the following publication: Oakes, M., J. Burke, G. Norris, K. Kovalcik, J.P. Pancras, and M. Landis. Near-road enhancement and solubility of fine and coarse particulate matter trace elements near a major interstate in Detroit, Michigan. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 145: 213-224, (2016).1Licence not specifiedover 2 years ago
- This the raw data that the manuscript: Fluctuating Emissions and Availability of Health Reference Values: Implications for Estimating Acute Exposure and Health Risk is based on. This dataset is associated with the following publication: Stewart, M., J. Hirtz, G. Woodall, C. Weitekamp, and K. Spence. A Comparison of Hourly with Annual Air Pollutant Emissions: Implications for Estimating Acute Exposure and Public Health Risk. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 69(7): 848-856, (2019).1Licence not specifiedover 2 years ago
- We created a consensus, meta-model using the Systematic Empirical Evaluation of Models framework in which the predictors of exposure were combined by pathway and weighted according to predictive ability for chemical intake rates inferred from human biomonitoring data for 114 chemicals. This dataset is associated with the following publication: Ring, C., J. Arnot, D. Bennett, P. Egeghy, P. Fantke, L. Huang, K. Isaacs, O. Jolliet, K. Phillips, P. Price, H. Shin, J. Westgate, R. Setzer, and J. Wambaugh. Consensus Modeling of Median Chemical Intake for the U.S. Population Based on Predictions of Exposure Pathways. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(2): 719-732, (2019).1Licence not specifiedover 2 years ago
- The Chemical Search Web Utility is an intuitive web application that allows the public to easily find the chemical that they are interested in using, and which provides a broad array of simple to advanced search options.1Licence not specifiedover 2 years ago
- The Mobile Source Observation Database (MSOD) is a relational database being developed by the Assessment and Standards Division (ASD) of the US Environmental Protection Agency Office of Transportation and Air Quality (formerly the Office of Mobile Sources). The MSOD contains emission test data from in-use mobile air- pollution sources such as cars, trucks, and engines from trucks and nonroad vehicles. Data in the database was collected from 1982 to the present. The data is intended to be representative of in-use vehicle emissions in the United States.1Licence not specifiedover 2 years ago
- Table of values used to parameterize and evaluate the Ft Carson NetZero integrated Model with published reference sources for each value. This dataset is associated with the following publication: Procter, A., O. Kaplan , and R. Araujo. Net Zero Fort Carson: Integrating Energy, Water, and Waste Strategies to Lower the Environmental Impact of a Military Base. JOURNAL OF INDUSTRIAL ECOLOGY. Berkeley Electronic Press, Berkeley, CA, USA, online, (2015).1Licence not specifiedover 2 years ago
- Concentrations of Legionella pneumphila and Mycobacterium avium as measured by quantitative Polmerase chaine reaction. This dataset is associated with the following publication: Donohue, M., D. King, S. Pfaller, and J. Mistry. The sporadic nature of Legionella pneumophila, Legionella pneumophila Sg1 and Mycobacterium avium occurrence within residences and office buildings across 36 states in the United States. JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 126(5): 1568-1579, (2019).1Licence not specifiedover 2 years ago
- This asset includes compliance data (registrations and reports), including reports related to reformulated gasoline and conventional gasoline (anti-dumping), gasoline sulfur, mobile source air toxics (including gasoline benzene), sulfur content of on-road and non-road diesel fuel, and renewable fuels under 40 CFR Part 80; and includes registration and compositional information related to fuels and fuel additives under 40 CFR Part 79.1Licence not specifiedover 2 years ago
- All data is generated by the external authors or taken from public data sources. This dataset is not publicly accessible because: Data was not collected in EPA labs or paid for by EPA. It can be accessed through the following means: All data is generated by the external authors or taken from public data sources. Format: N/A. This dataset is associated with the following publication: Mahapatra, D., J.A. Franzosa, K. Roell, M.A. Kuenemann, K.A. Houck, D.M. Reif, D. Fourches, and S.W. Kullman. Confirmation of High-Throughput screening data and novel mechanistic insights into VDR-xenobiotic interactions by orthogonal assays. Scientific Reports. Nature Publishing Group, London, UK, 8(8883): 1-16, (2018).1Licence not specifiedover 2 years ago
- Under the Federal Technology Transfer Act (FTTA), Federal Agencies can patent inventions developed during the course of research. These technologies can then be licensed to businesses or individuals for further development and sale in the marketplace. These technologies relate to ecological research, human health, and manufacturing.1Licence not specifiedover 2 years ago
- The dataset contains lab analyzed water chemistry and field collected data from hand held sondes. This dataset is associated with the following publication: Narr, C.F., H. Singh, P. Mayer, A. Keeley, B. Faulkner, D. Beak, and K.J. Forshay. Quantifying the Effects of Surface Conveyance of Treated Wastewater Effluent on Groundwater, Surface Water, and Nutrient Dynamics in a Large River Floodplain. ECOLOGICAL ENGINEERING. Elsevier Science Ltd, New York, NY, USA, 129: 123-133, (2019).1Licence not specifiedover 2 years ago
- This file includes an annotated R script used for data analysis for this project. Data files called in this script are also uploaded. Annotations within the script equate to metadata. This dataset is associated with the following publication: Wick, M., T. Angradi, M. Pawlowski, D. Bolgrien, R. Debbout, J. Launspach, and M. Nord. Deep Lake Explorer: A web application for crowdsourcing the classification of benthic underwater video from the Laurentian Great Lakes. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 46(5): 1469-1478, (2020).1Licence not specifiedover 2 years ago
- Activated persulfate (PS) is a common method used to generate sulfate radicals (SO4•-), a powerful oxidant capable of degrading a broad array of environmental contaminants. The reaction of SO4•- with non-target species (i.e., scavenging), contributes significantly to treatment inefficiency. Radical scavenging in this manner has been quantified for non-target chemical species in the aqueous phase but has never been quantified for solid phase media. Kinetic analysis and laboratory methods were developed to quantify the SO4•- scavenging rate constant (k≡S) for alumina, a naturally occurring mineral in soil and aquifer materials. SO4•- were generated in UV- and thermally-activated persulfate (UV-APS, T-APS) batch systems, and the loss of rhodamine B (RhB) served as an indicator of SO4•- activity. k≡S for alumina was 2.42×104 m-2 s-1 and 2.03×104 m-2 s-1 for UV-APS and T-APS oxidative treatment systems, respectively. At [alumina] >5 g L-1, the reaction of SO4•- with solid phase media increased over the aqueous phase reactions with RhB and aqueous scavengers. SO4•- scavenging by solid surfaces was orders of magnitude greater than reaction with the target compound and scavengers in the aqueous phase, underscoring the significant role of solid surfaces in scavenging SO4•-. This dataset is associated with the following publication: Rusevova Crincoli, K., C. Green, and S.G. Huling. Sulfate Radical Scavenging by Mineral Surfaces in Persulfate-Driven Oxidation Systems: Reaction Rate Constants and Implications. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(3): 1955-1962, (2020).1Licence not specifiedover 2 years ago
- The Engine and Vehicle Compliance Certification and Fuel Economy Inventory contains measured emissions and fuel economy compliance information for all types of vehicles (mobile sources of air pollution) excluding snowmobile, marine (diesel), and heavy duty engines whichsummary data is updated on an annual basis. Data is collected by EPA to certify compliance with the applicable fuel economy provisions of the Clean Air Act, Energy Policy and Conservation Act (EPCA) and the Energy Independent Security Act (EISA) of 2007.1Licence not specifiedover 2 years ago
- This asset provides identification data on renewable fuel producers, importers, laboratories, and facilities.1Licence not specifiedover 2 years ago
- Somatic coliphages are alternative indicators of fecal pollution and are attractive surrogate for viral pathogens. Here we report the draft genome sequences of three replicate plaques from a novel myoviridae bacteriophage isolated from raw wastewater. Genomes were similar to felix01virus phage and are predicted to contain up to 159 protein coding genes. This dataset is associated with the following publication: Keely, S., M. Herrmann, A. Korajkic, N. Brinkman, B. McMinn, S. Fout, and E. Villegas. Genome Sequences of Escherichia Bacteriophages Isolated from Raw Wastewater. Microbiology Resource Announcements. American Society for Microbiology, Washington, DC, USA, 8(26): e00135-19, (2019).1Licence not specifiedover 2 years ago
- Dead-end sections of drinking water distribution networks are known to be problematic zones in terms of water quality degradation. Extended residence time due to water stagnation leads to rapid reduction of disinfectant residuals allowing the regrowth of microbial pathogens. Water quality models developed so far apply spatial aggregation and temporal averaging techniques for hydraulic parameters by assigning hourly averaged water demands to the main nodes of the network. Although this practice has generally resulted in minimal loss of accuracy for the predicted disinfectant concentrations in main water transmission lines, this is not the case for the peripheries of the distribution network. This study proposes a new approach for simulating disinfectant residuals in dead end pipes while accounting for both spatial and temporal variability in hydraulic and transport parameters. A stochastic demand generator was developed to represent residential water pulses based on a non-homogenous Poisson process. Dispersive solute transport was considered using highly dynamic dispersion rates. A genetic algorithm was used to calibrate the axial hydraulic profile of the dead-end pipe based on the different demand shares of the withdrawal nodes. A parametric sensitivity analysis was done to assess the model performance under variation of different simulation parameters. A group of Monte-Carlo ensembles was carried out to investigate the influence of spatial and temporal variations in flow demands on the simulation accuracy. A set of three correction factors were analytically derived to adjust residence time, dispersion rate and wall demand to overcome simulation error caused by spatial aggregation approximation. The current model results show better agreement with field-measured concentrations of conservative fluoride tracer and free chlorine disinfectant than the simulations of recent advection dispersion reaction models published in the literature. Accuracy of the simulated concentration profiles showed significant dependence on the spatial distribution of the flow demands compared to temporal variation. This dataset is associated with the following publication: Abokifa, A., J. Yang , C. Lo, and P. Biswas. Water Quality Modeling in the Dead End Sections of Drinking Water Distribution Networks. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 18(89): 107-117, (2015).1Licence not specifiedover 2 years ago
- speciated pm2.5 monitoring data and total pm2.5 monitoring data. This dataset is associated with the following publication: Rundel, C., E. Schliep, A. Gelfand, and D. Holland. A data fusion approach for spatial analysis of speciated PM2:5 across time. Annals of Applied Statistics. Institute of Mathematical Statistics, Beachwood, OH, USA, 26(0): 515-526, (2015).1Licence not specifiedover 2 years ago
- The EV-GHG Mobile Source Data asset contains measured mobile source GHG emissions summary compliance information on light-duty vehicles, by model, for certification as required by the 1990 Amendments to the Clean Air Act, and as driven by the 2010 Presidential Memorandum Regarding Fuel Efficiency and the 2005 Supreme Court ruling in Massachusetts v. EPA that supported the regulation of CO2 as a pollutant. Manufacturers submit data on an annual basis, or as needed to document vehicle model changes. This asset will be expanded to include medium and heavy duty vehicles in the future.The EPA performs targeted GHG emissions tests on approximately 15% of vehicles submitted for certification. Confirmatory data on vehicles is associated with its corresponding submission data to verify the accuracy of manufacturer submissions beyond standard business rules.Submitted data comes in XML format or as documents, with the majority of submissions sent in XML, and includes descriptive information on the vehicle itself, emissions information, and the manufacturer's testing approach. This data may contain proprietary information (CBI) such as information on estimated sales or other data elements indicated by the submitter as confidential. CBI data is not publically available; however, CBI data can accessed within EPA under the restrictions of the Office of Transportation and Air Quality (OTAQ) CBI policy [RCS Link]. Pollutants data includes CO2, CH4, N2O. Datasets are divided by vehicle/engine model and/or year with corresponding emission, test, and certification data. Data assets are stored in EPA's Verify system.Coverage began in 2011, with summary light duty data available to the public on request. Raw data is only available to select EPA employees.EV-GHG Mobile Source Data submission documents with metadata, certificate and summary decision information is stored in Verify after it has been quality assured. Where summary data appears inaccurate, OTAQ returns the entries for review to their originator.1Licence not specifiedover 2 years ago
- Under the Federal Technology Transfer Act (FTTA), Federal Agencies can patent inventions developed during the course of research. These technologies can then be licensed to businesses or individuals for further development and sale in the marketplace. These technologies relate to monitoring and sampling air quality.1Licence not specifiedover 2 years ago
- Text files with the ".inp" extension that can be used in EPANET to simulate hydraulic and water quality analyses and which can be used in TEVA-SPOT-GUI. This dataset is associated with the following publication: Janke, R. Mass Imbalances in EPANET Water-quality Simulations. Drinking Water Engineering and Science Discussions. Copernicus Gesellschaft mbH, Gottingen, GERMANY, 25-47, (2018).1Licence not specifiedover 2 years ago
- The data set contains the elemental composition, pH, and sulfate content of the utilized mining impacted water used as influent in the columns study, the data for pH, Eh, Cd, Fe, Mn, Zn, sulfate and sulfate removal rate in the columns, and the data for an example XPS spectrum of sulfur from one of the collected solid residues from the bioactive column. This dataset is associated with the following publication: Al-Abed, S., P. Pinto, J. McKernan, E. Feld-Cook, and S. Lomnicki. Mechanisms and Effectivity of Sulfate Reducing Bioreactors using a Chitinous Substrate in Treating Mining Influenced Water. S.J. Allen, D. Dionysiou, G.B. Martin, J. Santamaria, K.L. Yeung, T. Aminabhavi, K. Chandran, and S.G. Pavlostathis Chemical Engineering Journal. Elsevier BV, AMSTERDAM, NETHERLANDS, 323: 270-277, (2017).1Licence not specifiedover 2 years ago
- PubMed Central (PMC) is a full-text, online archive of journal literature operated by the National Library of Medicine. The EPA is using PMC to permanently preserve and provide easy public access to the peer-reviewed papers resulting from EPA-funded research.1Licence not specifiedover 2 years ago
- This data set provides the biological endpoints collected from individual animals that culminated into a published paper. This dataset is associated with the following publication: Snow, S., C. Gordon , V. Bass, M. Schladweiler , A. Ledbetter , K. Jarema , P. Phillips , A. Johnstone , and U. Kodavanti. Age-related differences in pulmonary effects of acute and subchronic episodic ozone exposures in Brown Norway rats. INHALATION TOXICOLOGY. Informa Healthcare USA, New York, NY, USA, 28(7): 313-23, (2016).1Licence not specifiedover 2 years ago
- The paper has data generated by NIH and the EPA coauthors provided input into the preparation of the manuscript. This dataset is not publicly accessible because: Data was not collected in EPA labs or paid for by EPA. It can be accessed through the following means: Data generated by NIH. Format: N/A. This dataset is associated with the following publication: Lynch, C., S. Sakamuru, R. Huang, D.A. Stavea, L. Varticovski, G.L. Hagar, R.S. Judson, K.A. Houck, N.C. Kleinstreuer, W. Casey, R.S. Paules, A. Simeonov, and M. Xia. (Toxicology) Identifying Environmental Chemicals as Agonists of the Androgen Receptor by Applying a Quantitative High-throughput Screening Platform. TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 385: 48-58, (2017).1Licence not specifiedover 2 years ago
- This data set has two sets of gaseous elemental mercury data. The first column contains all Hg related data some of which may have been affected by the upslope events such as the emissions from the nearby volcano. The next column contain values that were flagged and excluded as being affected by the nearby volcanic events. The flagging method used to eliminate these values was developed using an episode identification scheme using SO2 data. For the years of 2002 through 2004, hourly SO2 data were used to llag the upslope values. For the years of 2005-2009, 5 minute SO2 values were used to flag upslope events. While SO2 and O3 data were collected by EPA as part of this study, the CO2 data were downloaded from NOAA data website along with the flag related information provided below. (http://www.esrl.noaa.gov/gmd/dv/data/index.php?parameter_name=Carbon%2BDioxide&showall=1&site=MLO). This dataset is associated with the following publication: Carbone, F., M. Landis, C.N. Gencarelli, A. Naccarato, F. Sprovieri, F. De Simone, I.M. Hedgecock, and N. Pirrone. Sea surface temperature variation linked to elemental mercury concentrations measured on Mauna Loa. GEOPHYSICAL RESEARCH LETTERS. American Geophysical Union, Washington, DC, USA, online, (2016).1Licence not specifiedover 2 years ago
- There are 3 main databases. #1 is the VOC concentrations of soil gas and indoor air samples collected over the site. #2 is the pressure readings used to monitor the pressure differential between subslab and indoor air. #3 is the vacuum reading used to monitor effectiveness, strength, and reach of vacuum created during the SVE operation. This dataset is associated with the following publication: Stewart, L., C. Lutes, R. Truesdale, B. Schumacher, J. Zimmerman, and R. Connell. Field Study of Soil Vapor Extraction for Reducing Off‐Site Vapor Intrusion. Groundwater Monitoring & Remediation. Wiley-Blackwell Publishing, Hoboken, NJ, USA, 40(1): 74-85, (2020).1Licence not specifiedover 2 years ago
- Fortran/NCARgraphics program to compute and plot RRF mean and variability:map_rrf_variability_13runs_epimax.f Ioapi files needed by Fortran/NCARGraphics code: CMAQ.CONC.SREF.June2011.New.13runs.o3_8hrdm CMAQ.CONC.SREF.June2011.N50V25.New.13runs.o3_8hrdm GRIDCRO2D_060607 Plotting routines map_rrf_mean_sigma_ne_13runs_epimax.ps map_rrf_mean_sigma_ne_13runs_epimax.ncgm. This dataset is associated with the following publication: Gilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).1Licence not specifiedover 2 years ago
- This file contains the analyzed dataset for each figure/table in the manuscript. This dataset is associated with the following publication: Lehmann , D., and W. Williams. Development and Utilization of a Unique In Vitro Antigen Presentation Co-culture Model for Detection of Immunomodulating Substances.. TOXICOLOGY IN VITRO. Elsevier Science Ltd, New York, NY, USA, 53(1): 20-28, (2018).1Licence not specifiedover 2 years ago
- The dataset files contain the dynamic (time sets) chemical process simulation results (mass flows, temperature profiles), performance indicators, concentration profiles of different components for the production of bio-ethanol (2 case studies of a fermentation process with different dilution rates) with and without a novel process control strategy for releases reduction. The datasets show all data values used to generate each of the figures. This dataset is associated with the following publication: Li, S., G.J. Ruiz-Mercado, and F.V. Lima. A Visualization and Control Strategy for Dynamic Sustainability of Chemical Processes. Processes. MDPI AG, Basel, SWITZERLAND, 8(3): 310, (2020).1Licence not specifiedover 2 years ago
- The National Training Center (NTC) at US Army Fort Irwin, CA (Fort Irwin) has a stormwater collection system located near the Sleepy Hollow housing area that includes a stormwater catchment basin, controlled release of flood waters, and enhanced local infiltration by a drywell. The system was not performing to design standards and best management practices. To research wet-weather capture and aquifer recharge, the Environmental Protection Agency (EPA) contracted GeoSystems Analysis, Inc. (GSA) to supervise the drilling and installation of a vadose zone testing well (Test Well) and a groundwater monitoring well (Monitor Well) at the Sleepy Hollow drywell site at Fort Irwin. Additionally, GSA contracted Torrent Resources Inc. (Phoenix, AZ) (Torrent Resources) to upgrade the drywell site. The Test Well was instrumented with water and air piezometers to allow testing of the infiltration capacity of the on-site basin fill deposits and derive hydraulic conductivity properties for these materials through intermediate and large-scale field testing and laboratory testing. Water piezometers were used to conduct borehole permeameter tests to provide an estimation of the saturated hydraulic conductivity (Ksat) at the testing intervals. Air piezometers were used to conduct atmospheric pressure wave testing, which measures the bulk air permeability of vadose zone sediments in the vicinity of the well. Air permeability estimates can then be converted to estimates of water permeability. A water level and temperature sensor was also installed in one of the water piezometers to measure the depth of perched groundwater. The Monitor Well was drilled to depths reaching the groundwater table to monitor the performance of the new drywell system. The Monitor Well also included a shallow piezometer installed above a low-permeability fine-grained sediment layer. Water level and temperature sensors were installed to measure the depth to groundwater and depth of perched water above the fine-grained layers. In addition, soil water content, electrical conductivity, and temperature sensors were installed at various depths in the vadose zone to monitor advancement of wetting fronts.1Licence not specifiedover 2 years ago
- The dataset is about aggregation and sedimentation of RGO and its nanohybrids. This dataset is associated with the following publication: Park, C., D. Wang, J. Heo, N. Her, and C. Su. Aggregation of reduced graphene oxide and its nanohybrids with magnetite and elemental silver under environmentally relevant conditions. Journal of Nanoparticle Research. Springer SBM, New York, NY, USA, 20: 93-93, (2018).1Licence not specifiedover 2 years ago
- NO2 and O3 data from the DISCOVER-AQ field study measured by the United States EPA. This dataset is associated with the following publication: Long, R., M. Beaver, R. Duvall, J. Szykman, S. Kaushik, K. Kronmiller, M. Wheeler, S. Garvey, and J. Crawford. Evaluation and Comparison of Methods for Measuring Ozone and NO2 Concentrations in Ambient Air during DISCOVER-AQ. EM Magazine. Air and Waste Management Association, Pittsburgh, PA, USA, 1-11, (2016).1Licence not specifiedover 2 years ago
- Metadata for figures presented in manuscript reporting bioenergetic effects of exposure to environmentally relevant organic compound in human airway epithelial cells. This dataset is associated with the following publication: Lavrich, K., E. Corteselli, P. Wages, P. Bromberg, S. Simmons, E. Gibbs-Flournoy, and J. Samet. Investigating Mitochondrial Dysfunction in Human Lung Cells Exposed to Redox-Active PM Components. TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 342: 99-107, (2018).1Licence not specifiedover 2 years ago
- landfill emissions measurements for the Turkey run landfill in Georgia. This dataset is associated with the following publication: De la Cruz, F., R. Green, G. Hater, J. Chanton, E. Thoma , T. Harvey, and M. Barlaz. Comparison of Field Measurements at a New Landfill to Methane Emissions Models. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(17): 9483-9441, (2016).1Licence not specifiedover 2 years ago
- The XRD text files show counts per second of X-ray diffraction as a function of diffraction angle for six nanomaterials: industrial TiO2, toothpaste TiO2, sunscreen TiO2 and these materials after algae toxicity test. Figure 1 in TiO2 paper shows the raw data for the inhibition (%) as a function of time (h) for the nanomaterials at 5 mg/L concentration. This dataset is associated with the following publication: Galletti, A., S. Seo, S.H. Joo, C. Su, and P. Blackwelder. Effects of titanium dioxide nanoparticles derived from consumer products on the marine diatom Thalassiosira pseudonana. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. Ecomed Verlagsgesellschaft AG, Landsberg, GERMANY, 23: 21113-21122, (2016).1Licence not specifiedover 2 years ago
- The dataset contains the raw data for the graphs in the paper. This dataset is associated with the following publication: Rauglas, E., S. Martin, K. Bailey, C. Starr, M. Magnuson, R. Phillips, and W. Harper. The Effect of Malathion on the Activity, Performance, and Microbial Ecology of Activated Sludge- journal. JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 220-228, (2016).1Licence not specifiedover 2 years ago
- In response to various legislative mandates the United States Environmental Protection Agency (USEPA) formed its Endocrine Disruptor Screening Program (EDSP), which in turn, implemented a tiered testing strategy to determine the potential of pesticides, commercial chemicals, and environmental contaminants to disrupt the endocrine system. The first tier of tests is intended to detect the potential for endocrine disruption mediated through estrogen, androgen or thyroid pathways, while the second tier is intended to further characterize the effects on these pathways and to establish a dose-response relationship for adverse effects. One of these Tier 2 tests, the Medaka Extended One Generation Reproduction Test (MEOGRT) was developed by the USEPA for the EDSP and, in collaboration with the Japanese Ministry of the Environment, for the Organisation for Economic Co-operation and Development’s (OECD) Guidelines for the Testing of Chemicals. The MEOGRT protocol was iteratively modified based upon knowledge gained after successfully completing nine tests with variations in test protocols. The dataset both the final MEOGRT protocol that has been published by the USEPA and the OECD, the iterations of the protocol that provided valuable insights into nuances of the protocol. The various tests include exposure to 17β-estradiol, 4-t-octylphenol, o,p’- dichlorodiphenyltrichloroethane, 4-chloro-3-methylphenol, tamoxifen, 17β-trenbolone, vinclozolin, and prochloraz. This dataset is associated with the following publication: Flynn, K., D. Lothenbach, F. Whiteman, D. Hammermeister, L. Touart, J. Swintek, N. Tatarazako, Y. Onishi, and R. Johnson. Summary of the development the US Environmental Protection Agency’s Medaka Extended One Generation Reproduction Test (MEOGRT) using data from 9 multigenerational medaka tests. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 36(12): 3387-3403, (2017).1Licence not specifiedover 2 years ago
- This data set contains the code for the BDCM human multi-route model written in the programming language acsl. The final published manuscript is provided since it contains all the model parameters and data (from published literature). This dataset is associated with the following publication: Kenyon , E., T.L. Leavens, C. Eklund , and R. Pegram. Development and Application of a Human PBPK Model for Bromodichloromethane (BDCM) to Investigate Impacts of Multi-Route Exposure. JOURNAL OF APPLIED TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 36(9): 1095-1111, (2015).1Licence not specifiedover 2 years ago
- Table summarizes instrument precision assessed by collocating the two sample boxes. Precision is quantified as the standard deviation of the residuals of an orthogonal least squares regression of concentrations from the two sample boxes. This allows for an estimation of gradient precision and ultimately gradient and flux detection limits. This dataset is associated with the following publication: Rumsey, I. Application of an online ion chromatography-based instrument for gradient flux measurements of speciated nitrogen and sulfur. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 9(6): 2581-2592, (2016).1Licence not specifiedover 2 years ago
- Commute scenarios in the .dta format for use with the Stata software package. This dataset is associated with the following publication: Baldauf, R., M. Wolfe, N. McDonald, and S. Arunachalam. The Impact of School Location and Commuting Choice on Children’s Air Pollution Exposures. Journal of Urban Affairs. Taylor & Francis Group, London, UK, 672: 410-426, (2020).1Licence not specifiedover 2 years ago
- EPAs Office of Enforcement and Compliance Assurance (OECA) cases and settlements webpage contains links to selected settlements resolving civil enforcement cases and, in some cases, complaints filed initiating civil judicial and administrative enforcement actions. Typically, the links are to settlements about which we have issued a press release. This is not a complete repository of all enforcement actions taken by or on behalf of EPA. Rather, it represents a subset of enforcement cases, taken civil judicially or administratively, which may be of national interest. Most of the settlements are civil judicial consent decrees resolving alleged violations of environmental laws (e.g., the Clean Air Act, the Clean Water Act). In some instances, the website includes significant enforcement actions resolved by the Environmental Appeals Board (EAB). In addition, please note that the cases and settlements webpage does not include:Most administrative enforcement actions; Most civil judicial cases resolving liability under CERCLA; Criminal enforcement matters.1Licence not specifiedover 2 years ago
- Organic ultraviolet filters (UVFs; also known as sunscreen agents) used in personal care and consumer products can enter the aquatic environment via wastewater treatment plant effluents or by loss from skin during swimming and other recreational activities. Some UVFs are hydrophobic (log Kow > 4) which has led to concern that they may bioaccumulate in aquatic organisms. The purpose of this study was to investigate the bioaccumulation and biotransformation of two widely-used UVFs, 2-ethylhexyl-4-methoxycinnamate (EHMC) and octocrylene (OCT) in rainbow trout exposed via the diet. EHMC and OCT were significantly metabolized by trout and this metabolism substantially reduced bioaccumulation relative to levels observed for a set of poorly transformed chemicals having similar log Kow values. Derived bioconcentration factors (BCFs) and biomagnification factors (BMFs) for both UVFs were well below established bioaccumulation criteria, suggesting that EHMC and OCT are unlikely to pose a bioaccumulation hazard in trout. This research substantially increases existing knowledge concerning the fate and effects of UVFs in the environment. This dataset is associated with the following publication: Saunders, L., A. Hoffman, J. Nichols, and F. Gobas. Dietary bioaccumulation and biotransformation of hydrophobic organic sunscreen agents in rainbow trout. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 39(3): 574-586, (2020).1Licence not specifiedover 2 years ago
- Data on the presence of corn seed treatment insecticides in bee-collected pollen and increased honey bee mortality associated with corn planting, persistence of the insecticides inside honey bee colonies, and long-term growth of these colonies in central Ohio. We also constructed spatial models, based on empirical data of honey bee foraging and dispersion patterns of planter dust, and landscape compositions, to simulate hypothesized exposure routes via contamination of foraging resources and aerial exposure resulting from flight through localized dust plumes from planters and diffuse dust in the landscape over all resulting from widespread planting activity. Insecticide concentrations under different hypothesized exposure routes were then compared with the observed levels of contamination to evaluate these hypotheses. This dataset is associated with the following publication: Kuan, C., G. DeGrandi-Hoffman, R. Curry, K. Garber, A. Kanarek, M. Snyder, K. Wolfe, and T. Purucker. Sensitivity analyses for simulating pesticide impacts on honey bee colonies. ENVIRONMENTAL MODELLING AND SOFTWARE. Elsevier Science Ltd, New York, NY, USA, 376: 15-27, (2018).1Licence not specifiedover 2 years ago
- Time stamp data of non-identified locations within the Ironbound community. A normalization data table is provided that defines established regression between sensors pod units 1-4 and State of New Jersey reference monitoring data performed during a collocation event. In addition, a table is provided that defines the 90th percentile of air quality measures following data normalization. This dataset is associated with the following publication: Kaufman, A., R. Williams, T. Barzyk, M. Greenberg, M. OShea, P. Sheridan, A. Hoang, C. Ash, A. Teitz, M. Mustafa, and S. Garvey. A Citizen Science and Government Collaboration: Developing Tools to Facilitate Community Air Monitoring. ENVIRONMENTAL JUSTICE. Mary Ann Liebert, Inc., New Rochelle, NY, USA, 10(2): 1-11, (2017).1Licence not specifiedover 2 years ago
- This dataset documents the source of the data analyzed in the manuscript " Insights into the deterministic skill of air quality ensembles from the analysis of AQMEII data" led by Dr. Ioannis Kioutsioukis of the European Commission's Joint Research Center. All of the data were contributed by non-EPA research groups from Europe. This dataset is not publicly accessible because: None of the data analyzed in this manuscript was contributed by EPA. It can be accessed through the following means: The datasets used for analysis by the external author of this manuscript were provided by researchers from more than ten non-EPA research groups from Europe participating in the first and second phase of the Air Quality Model Evaluation International Initiative (AQMEII). All data used in the manuscript are stored on the web-based password-protected ENSEMBLE platform hosted by the European Commission’s Joint Research Centre at http://ensemble3.jrc.it/. Interested researchers can request access to the AQMEII dataset hosted on the ENSEMBLE platform by contacting Dr. Stefano Galmarini (stefano.galmarini@jrc.ec.europa.eu). Format: N/A. This dataset is associated with the following publication: Kioutsioukis, I., U. Im, E. Solazzo, R. Bianconi, A. Badia, A. Balzarini, R. Baro, R. Bellasio, D. Brunner, C. Chemel, G. Curci, H. Denier va der Gon, J. Flemming, R. Forkel, L. Giordano, P. Jimenez-Guerrero, M. Hirtl, O. Jorba, A. Manders-Groot, L. Neal, J. Perez, G. Pirovano, R. San Jose, N. Savage, W. Schroder, R. Sokhi, D. Syrakov, P. Tuccella, J. Werhahn, R. Wolke, C. Hogrefe, and S. Galmarini. Insights into the deterministic skill of air quality ensembles from the analysis of AQMEII data. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 16(24): 15629-15652, (2016).1Licence not specifiedover 2 years ago
- In zebrafish, 161 compounds were screened and 34 were identified by visual inspection as VDCs, of which 28 were confirmed as VDCs by quantitative image analysis. Testing of the zebrafish VDCs for their capacity to inhibit endothelial tube formation in the murine yolk-sac-derived endothelial cell line C166 identified 22 compounds that both disrupted zebrafish vascular development and murine endothelial in vitro tubulogenesis. This dataset is associated with the following publication: McCollum, C., J. Conde Vancells, C. Hans, M. Vazquez-Chantada, N. Kleinstreuer, T. Tal , T. Knudsen, S. Shah, F. Merchant, R. Finnell, J. Gustafsson, R. Cabrera, and M. Bondesson. (Reproductive Toxicology) Identification of vascular disruptor compounds by a tiered analysis in zebrafish embryos and mouse embryonic endothelial cells. REPRODUCTIVE TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 70: 60-69, (2017).1Licence not specifiedover 2 years ago
- There are two datasets. First, a dataset for the PROPS models (i.e. “US-PROPS_v2_models_May30_2019.xlsx,” which describe the parameters for the PROPS models for the 1503 species that were included in the study. Metadata for this data is provided in the excel spreadsheet. Second, is a spreadsheet of the “critical load functions” (CLF) that are derived from the PROPS models (i.e. “PROPS-CLF_results_May30_2019.xlsx”). Metadata for this dataset are also provided in the spreadhseet.1Licence not specifiedover 2 years ago
- The Pesticide Product Label System (PPLS) provides a collection of pesticide product labels (Adobe PDF format) that have been approved by EPA under Section 3 of the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA). New labels were added to PPLS on November 21, 2014. Pesticide product labels provide critical information about how to safely handle and use registered pesticide products. An approved pesticide product label represents the full content of EPAs registration decision regarding that product. Pesticide labels contain detailed information on the use, storage, and handling of a product. This information will be found on EPA stamped-approved labels and, in some cases, in subsequent related correspondence, which is also included in PPLS. You may need to review several PDF files for a single product to determine the complete current terms of registration.1Licence not specifiedover 2 years ago
- Data from underwater oil detection technologies are provided (1) A Remote Environmental Monitoring UnitS (REMUS-600) AUV equipped with fluorescence and backscatter SeaOWL UV-A (Oil-in-Water Locator; Sea-Bird Scientific WET Labs Inc.), holographic imager (HoloCam; SeaScan, Inc), hydrographic information, video camera, CTD and a water/oil sampler. (2) A tethered ROV system (DTG2, Deep Trekker Inc.) equipped with video camera, UviLux (Chelsea Technologies Group, Inc) fluorometer, a CTD and water/oil sampler. Calibration and validation tests of the sensor suite were conducted at the Coastal Response Research Center flume tank (NH, USA). Oil concentration estimates were verified by chemical analysis of hydrocarbons and particle size analysis (LISST 200X, Sequoia, Inc). Operational performance of the ROV platform and sensors was evaluated at the Ohmsett wave tank (NJ, USA). Field performance of the REMUS and sensor suite was evaluated at natural seeps near Santa Barbara, CA. This dataset is not publicly accessible because: It can be, but PI cannot locate an 'upload data' button. It can be accessed through the following means: PI can provide it to the PI manager for posting. Format: Electronic sensor data from the vehicle missions is provided in an excel spreadsheet1Licence not specifiedover 2 years ago
- We describe screening level estimates of potential aquatic toxicity posed by 227 chemical analytes that were measured in 25 ambient water samples collected as part of a joint USGS/USEPA drinking water plant study. Measured concentrations were compared to biological effect concentration (EC) estimates, including USEPA aquatic life criteria, effective plasma concentrations of pharmaceuticals, published toxicity data summarized in the USEPA ECOTOX database, and chemical structure-based predictions. Potential dietary exposures were estimated using a generic 3-tiered food web accumulation scenario. This dataset is associated with the following publication: Kostich , M., R. Flick , A. Batt , H. Mash , S. Boone , E. Furlong, D. Kolpin, and S. Glassmeyer. Aquatic concentrations of chemical analytes compared to ecotoxicity estimates. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 579: 1649-1657, (2017).1Licence not specifiedover 2 years ago
- Data generated to test nitrification inhibition of chromium. This dataset is associated with the following publication: Kapoor, V., M. Elk, X. Li, C. Impellitteri , and J. Santodomingo. Effects of Cr(III) and CR(VI) on nitrification inhibition as determined by SOUR, function-specific gene expression and 16S rRNA sequence analysis of wastewater nitrifying enrichments. CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 147: 361-367, (2016).1Licence not specifiedover 2 years ago
- All primary data reported in this paper were generated by non-federal collaborators from the University of Michigan and McGill University. US EPA-ORD personnel collected and supplied water, sediment, and fish tissue samples used in these analyses and contributed to development of the manuscript, however, no data were directly generated by US EPA personnel. This dataset is not publicly accessible because: No EPA data (see comments). It can be accessed through the following means: Data set can be obtained upon request from the corresponding author. Format: n/a. This dataset is associated with the following publication: Arini, A., J. Cavallin , J. Berninger, R. Marfil-Vega, M. Mills , D. Villeneuve , and N. Basu. In vivo and in vitro neurochemical-based assessments of wastewater effluents from the Maumee River area of concern.. SOCIETY OF ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY JOURNAL. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 211: 9-19, (2016).1Licence not specifiedover 2 years ago
- No dataset associated with this publication. This dataset is not publicly accessible because: This is a commentary and no data was generated. It can be accessed through the following means: There is no data associated with this commentary. Format: This is a commentary and no data was generated. This dataset is associated with the following publication: Augustine, S. Towards Universal Screening for Toxoplasmosis: Rapid, Cost-effective and Simultaneous Detection of Toxoplasma Anti-IgG, IgM and IgA Antibodies Using Very Small Serum Volumes. JOURNAL OF CLINICAL MICROBIOLOGY. American Society for Microbiology, Washington, DC, USA, 56(7): 1-2, (2016).1Licence not specifiedover 2 years ago
- The Pesticide Product Information System contains information concerning all pesticide products registered in the United States. It includes registrant name and address, chemical ingredients, toxicity category, product names, distributor brand names, site/pest uses, pesticidal type, formulation code, and registration status.1Licence not specifiedover 2 years ago
- PEMS-chasing experiments were conducted for twelve heavy-duty diesel vehicles (HDDTs) to evaluate the accuracy of mobile measurement results. Two data processing approaches were integrated to automate the calculations of fuel consumption-based emission factors of nitrogen oxides (NOX). With a total of 245 plume chasing tests conducted, and then averaged by vehicle and road types, we found that the relative errors of vehicle-specific emission factors using an algorithm developed for this project were within approximately ± 20% of the PEMS results for all tested vehicles. Stochastic simulations suggested reasonable results could be obtained using fewer chasing tests per vehicle (e.g., 71% for freeways and 93% for local road, equivalent to two chase tests per vehicle). This study improves the understanding of the accuracy of the mobile chasing method, and provides a practical approach for real-time emission measurements for future scaled-up mobile chasing studies. This dataset is associated with the following publications: Wu, Y., H. Wang, K. Zhang, S. Zhang, R. Baldauf, P. Deshmukh, and R. Snow. Evaluating mobile monitoring of on-road emission factors by comparing concurrent PEMS measurements. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 736: NA, (2020). Baldauf, R., X. Zheng, Y. Wu, S. Zhang, K. Zhang, and J. Hao. Joint measurements of black carbon and particle mass for heavydutydiesel vehicles using a portable emission measurement system. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 141: 435-442, (2016).1Licence not specifiedover 2 years ago
- Mobile monitoring data generated using an instrumented electric vehicle. This dataset is associated with the following publication: Deshmukh, P., E. Kimbrough, R. Logan, S. Krabbe, V. Isakov, and R. Baldauf. Identifying Air Pollution Source Impacts in Urban Communities Using Mobile Monitoring. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 000, (2020).1Licence not specifiedover 2 years ago
- A review of current literature on the occurrence of waterborne pathogens in DW systems. This dataset is not publicly accessible because: I am using published data from a journal not generated by EPA. It can be accessed through the following means: N/A. Format: no unique data has been generated. This dataset is associated with the following publication: Rochelle, P., P. Klonicki, G. DiGiovanni, V. Hill, Y. Akagi, and E. Villegas. Conference Report: The 6th International Symposium on Waterborne Pathogens ISWP 2015. JOURNAL OF THE AMERICAN WATER WORKS ASSOCIATION. American Water Works Association, Denver, CO, USA, 107(10): 24-32, (2015).1Licence not specifiedover 2 years ago
- White sucker, Catostomus commersonii, were collected from the St. Louis River Area of Concern in 2011, 2013, and 2015. The data include size, sex, and age of fish; associated orocutaneous and liver neoplasia prevalence; muscle carbon and nitrogen stable isotope ratios; diet contribution from three locations based on stable isotope ratios; and concentration of PCBs, dioxins, and furans in livers of select fish sampled in 2015. This dataset is associated with the following publication: Hoffman, J., V. Blazer, H. Walsh, C. Shaw, R. Braham, and P. Mazik. Influence of demographics, exposure, and habitat use in an urban, coastal river on tumor prevalence in a demersal fish. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 712: 12 pg., (2020).1Licence not specifiedover 2 years ago
- List of biomarker genes used to predict estrogen receptor activity in MCF-7 cells; list of microarray accession numbers used in the study. This dataset is associated with the following publication: Vanduyn, N., B. Chorley , R. Tice, R. Judson , and C. Corton. Moving Toward Integrating Gene Expression Profiling into High-throughput Testing:A Gene Expression Biomarker Accurately Predicts Estrogen Receptor α Modulation in a Microarray Compendium. TOXICOLOGICAL SCIENCES. Society of Toxicology, 151(1): 88-103, (2016).1Licence not specifiedover 2 years ago
- Adverse outcome pathway (AOP) networks potentially provide a basis for predictive approaches to assess the toxicity of chemical mixtures. This study evaluated the utility of a simple AOP network to predict the interactive effects of a binary chemical mixture comprised of an inhibitor of the aromatase enzyme (fadrozole, a human pharmaceutical) and an agonist of the androgen receptor (trenbolone, a veterinary drug). Overall, prediction of interactive effects of the two chemicals based on the AOP network did not match actual observed effects. Rather, the two compounds seemed to interact in an independent manner in terms of their effects on the hypothalamic-pituitary-gonadal axis in the fish. This dataset is associated with the following publication: Ankley, G., B. Blackwell, J. Cavallin, J. Doering, D.J. Feifarek, K. Jensen, M. Kahl, C. Lalone, S. Poole, E. Randolph, T. Saari, and D. Villeneuve. Adverse outcome pathway network-based assessment of the interactive effects of an androgen receptor agonist and an aromatase inhibitor on fish endocrine function. AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 39(4): 913-922, (2020).1Licence not specifiedover 2 years ago
- The dataset includes survival of control, control injected, and CRISPR/Cas9 injected embryos as well as percent efficiency of insertion/deletion mutation formation for the three different CRISPR guide strands/targets evaluated in this study. This dataset is associated with the following publication: Maki, J., J. Cavallin, K. Lott, T. Saari, G. Ankley, and D. Villeneuve. A method for CRISPR/Cas9 mutation of genes in fathead minnow (Pimephales promelas). AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 222: 12 pg., (2020).1Licence not specifiedover 2 years ago
- The dataset includes names and geographic coordinates of gauge stations where flow and water quality (sediment, nitrogen, phosphorus) are measured in the Upper Mississippi River Watershed, Ohio River Basin, and Maumee River Basins. The data include estimates of risk indices (reliability, resilience, vulnerability) and a composite watershed health measure at gauge the stations, distributional properties of the indices, sensitivity to water quality standards, scale dependency of the indices, and statistical significance of the relationship between composite watershed health measure and land uses (agricultural, forested, and urban). This dataset is associated with the following publication: Ganeshchandra Mallya , G., M. Hantush, and R. Govindaraju. Composite measures of watershed health from a water quality perspective. JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 214: 104-124, (2018).1Licence not specifiedover 2 years ago
- NetCDF files of PBL height (m), Shortwave Radiation, 10 m wind speed from WRF and Ozone from CMAQ. The data is the standard deviation of these variables for each hour of the 4 day simulation. Figure 4 is only one of the time periods: June 8, 2100 UTC. The NetCDF files have a time stamp (Times) that can be used to find this time in order to reproduce the Figure 4. Also included is a data dictionary that describes the domain and all other attributes of the model simulation. This dataset is not publicly accessible because: The file is 202Mb binary NetCDF file that is too large. It can be accessed through the following means: Archived on the US EPA HPC Sol computer system:/asm/grc/JGR_ENSEMBLE_ScienceHub/Figure4.tar.gz. Format: Tar.gz file that contains NetCDF files required to reproduce Figure 4. This dataset is associated with the following publication: Gilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).1Licence not specifiedover 2 years ago
- thyroid hormones in serum and in brain were measured in fetal and neonatal rat cortex after graded levels of a thyroid hormone synthesis inhibitor were administered to pregnant rat dams. A number of gene targets were assessed to look for measures of thyroid hormone action in these same tissues. This dataset is associated with the following publication: OShaughnessy, K., C. Wood, R. Ford, P. Kosian, M. Hotchkiss, S. Degitz, and M. Gilbert. Thyroid hormone disruption in the fetal and neonatal rat: Predictive hormone measures and bioindicators of hormone action in the developing cortex- ToxSci. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 163-179, (2018).1Licence not specifiedover 2 years ago
- Data support the publication "Spatio-Temporal Modeling For Forecasting High-Risk Freshwater Cyanobacterial Harmful Algal Blooms in Florida". This dataset is associated with the following publication: Myer, M., E. Urquhart, B. Schaeffer, and J. Johnston. Spatio-Temporal Modeling for Forecasting High-Risk Freshwater Cyanobacterial Harmful Algal Blooms in Florida. Frontiers in Environmental Science. Frontiers, Lausanne, SWITZERLAND, 8: 581091, (2020).1Licence not specifiedover 2 years ago
- Bacteria and fungi in source and treated drinking water. This dataset is associated with the following publication: King , D., S. Pfaller , M. Donohue , S. Vesper , E. Villegas , M. Ware , S. Glassmeyer , M. Vogal, E. Furlong, and D. Kolpin. Microbial pathogens in source and treated waters from drinking water treatment plants in the United States and implications for human health. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 562: 987–995, (2016).1Licence not specifiedover 2 years ago
- The raw data from experiments on the pilot-scale photobio-reactor that represent growth of Euglena deses and Chlorella vulgaris and salt uptake. This dataset is associated with the following publication: Sahle-Demessie, E., A.A. Hassan, and A.E. Badawy. Bio-desalination of brackish and seawater using halophytic algae. DESALINATION. Elsevier Science Ltd, New York, NY, USA, 465: 104-113, (2019).1Licence not specifiedover 2 years ago
- File contains raw data collected on body and organ weights of mice given PFBS and body burden of the chemical after intervals of several hours, as well as expression of liver candidate genes for nuclear receptors at 24 h post-treatment. This dataset is associated with the following publication: Lau, C., J. Rumpler, K. Das, C. Wood, J. Schmid, M. Strynar, and J. Wambaugh. Pharmacokinetic profile of Perfluorobutane Sulfonate and activation of hepatic nuclear receptor target genes in mice. TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 441: 152522, (2020).1Licence not specifiedover 2 years ago
- Linear combination fitting data for lead speciation of soil samples evaluated through an in-vivo/in-vitro correlation for quail exposure. This dataset is associated with the following publication: Beyer, W.N., N. Basta, R. Chaney, P. Henry, D. Mosby, B. Rattner, K. Scheckel , D. Sprague, and J. Weber. BIOACCESSIBILITY TESTS ACCURATELY ESTIMATE BIOAVAILABILITY OF LEAD TO QUAIL. G.A. Burton, Jr., and C. H. Ward ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 35(9): 2311-2319, (2016).1Licence not specifiedover 2 years ago
- Ambient concentrations of most requested pollutants from the national ambient air quality monitoring networks stored in the Air Quality System (AQS).1Licence not specifiedover 2 years ago
- This dataset provides a time series of size of fathead minnows over time growing under laboratory conditions (approximately 23 C, ad lib feeding). This dataset is associated with the following publication: Swintek, J., M. Etterson, K. Flynn, and R. Johnson. Optimized temporal sampling designs of the Weibull growth curve with extensions to the von Bertalanffy model. ENVIRONMETRICS. John Wiley & Sons Incorporated, New York, NY, USA, 30(6): 1-14, (2019).1Licence not specifiedover 2 years ago
- This dataset includes the recoveries of spiked adenovirus through various stages of experimental optimization procedures. This dataset is associated with the following publication: McMinn , B., A. Korajkic, and A. Grimm. Optimization and evaluation of a method to detect adenoviruses in river water. JOURNAL OF VIROLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 231(1): 8-13, (2016).1Licence not specifiedover 2 years ago
- Spore recovery data during sample packaging decontamination tests. This dataset is associated with the following publication: Calfee, W., J. Tufts, K. Meyer, K. McConkey, L. Mickelsen, L. Rose, C. Dowell, L. Delaney, A. Weber, S. Morse, J. Chaitram, and M. Gray. Evaluation of standardized sample collection, packaging, and decontamination procedures to assess cross-contamination potential during Bacillus anthracis incident response operations. JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE. Taylor & Francis, Inc., Philadelphia, PA, USA, 13(12): 12, (2016).1Licence not specifiedover 2 years ago
- The toxicity and environmental persistence of anthropogenic per- and poly-fluoroalkyl substances (PFAS) are of concern globally. To address legacy PFAS concerns in the US, industry developed numerous replacement PFAS that commonly are treated as confidential information. To investigate the distribution of PFAS in New Jersey (NJ), soils collected from across the state were subjected to nontargeted mass-spectral analyses. Ten chloro-perfluoro-polyether-carboxylates were tentatively identified, with ≥3 congeners in all samples. Nine congeners are ≥(CF2)7. Distinct chemical formulas and structures, as well as geographic distribution, suggest airborne transport from an industrial source. Lighter congeners dispersed more widely than heavier, with the most widely dispersed detected in an in-stock New Hampshire sample. Additional data were used to develop a legacy-PFAS fingerprint for historical PFAS sources in NJ. This dataset is associated with the following publication: Washington, J., C. Rosal, J. McCord, M. Strynar, A. Lindstrom, E. Bergman, S. Goodrow, H. Tadesse, D. Pilant, B. Washington, M.J. Davis, B. Stuart, and T. Jenkins. Nontargeted mass-spectral detection of chloroperfluoropolyether carboxylates in New Jersey soils. SCIENCE. American Association for the Advancement of Science (AAAS), Washington, DC, USA, 368(6495): 1103-1107, (2020).1Licence not specifiedover 2 years ago
- Watershed modeling and MODIS data integration. This dataset is not publicly accessible because: Data is property of Texas A&M University Kingsville. It can be accessed through the following means: Contact Dr. Adnan Rajib, Texas A&M University, Kingsville. Format: Excel spreadsheet. This dataset is associated with the following publication: Rajib, A., I.L. Kim, H. Golden, C. Lane, S. Kumar, Z. Yu, and S. Jeyalakshmi. Watershed Modeling with Remotely Sensed Big Data: MODIS Leaf Area Index Improves Hydrology and Water Quality Predictions. Remote Sensing. MDPI AG, Basel, SWITZERLAND, 12(13): 2148, (2020).1Licence not specifiedover 2 years ago
- The data set consists of ecotoxicity values for crude oils and spill response agents. This dataset is associated with the following publications: Conmy, R., M. Barron, D. Sundaravadivelu, R. Groser, R. Venkatapathy, A. Burkes, and E. Holder. SCREENING OF POTENTIAL REFERENCE OILS FOR THE NATIONAL CONTINGENCY PLAN PRODUCT SCHEUDLE. U.S. Environmental Protection Agency, Washington, DC, USA, 2019. Barron, M., A. Bejarano, R. Conmy, D. Sundaravadivelu, and P. Meyer. Toxicity of oil spill response agents and crude oils to five aquatic test species. MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 153(110954): 110954, (2020).1Licence not specifiedover 2 years ago
- This data set contains variables measured during a survey of sediment-methane production rates in a eutrophic reservoir in southwestern Ohio. The measured production rates and a suite of predictor variables including water chemistry, sediment characteristics, and algal abundance are presented.. This dataset is associated with the following publication: Berberich, M., J. Beaulieu, T. Hamilton, S. Waldo, and I. Buffam. Spatial variability of sediment methane production and methanogen communities within a eutrophic reservoir: importance of organic matter source and quantity. LIMNOLOGY AND OCEANOGRAPHY. American Society of Limnology and Oceanography, Lawrence, KS, USA, 65(3): 1-23, (2020).1Licence not specifiedover 2 years ago
- The EPA Control Measure Dataset is a collection of documents describing air pollution control available to regulated facilities for the control and abatement of air pollution emissions from a range of regulated source types, whether directly through the use of technical measures, or indirectly through economic or other measures.1Licence not specifiedover 2 years ago
- This data set describes changes in concentrations of somatic and F+ coliphages and adenovirus in freshwater under the influence of different biotic and abiotic factors. This dataset is associated with the following publication: McMinn, B., E. Rhodes, E. Webster, and A. Korajkic. Decay of infectious adenovirus and coliphages in freshwater habitats is differentially affected by ambient sunlight and the presence of indigenous protozoa communities. JOURNAL OF VIROLOGY. American Society for Microbiology, Washington, DC, USA, 17: 1, (2020).1Licence not specifiedover 2 years ago
- The CMAQ Model Outputs data asset includes current and projected future levels of ambient concentrations and deposition to support regulatory impact analyses.1Licence not specifiedover 2 years ago
- Formaldehyde air concentration data and decontamination efficacy data from controlled laboratory studies. This dataset is associated with the following publications: Choi, Y., M. Sunderman, M. McCauley, Z. Willenberg, J. Wood, S. Serre, L. Mickelsen, S. Willison, R. Rupert, J. Muniz-Ortiz, S. Casey, and W. Calfee. Formaldehyde Vapor Characteristics in Varied Decontamination Environments. Applied Biosafety. SAGE Publications, THOUSAND OAKS, CA, USA, 25(2): 24, (2020). Choi, Y., M. Sunderman, M. McCauley, W. Richter, Z. Willenberg, J. Wood, S. Serre, L. Mickelsen, S. Willison, R. Rupert, J. Muniz-Ortiz, S. Casey, and W. Calfee. Decontamination of Bacillus Spores with Formaldehyde Vapor under Varied Environmental Conditions. JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 25(2): 14, (2020).1Licence not specifiedover 2 years ago
- An abundance matrix (BM_taxonomic_lineage.xlsx) contains rows as taxonomic lineage, columns as samples, and entries representing the abundance of each lineage as a ratio of all sequences obtained for each individual sample. This dataset is associated with the following publication: Gomez-Alvarez, V., and R. Revetta. Monitoring of Nitrification in Chloraminated Drinking Water Distribution Systems With Microbiome Bioindicators Using Supervised Machine Learning. Frontiers in Microbiology. Frontiers, Lausanne, SWITZERLAND, 11: 2254-2267, (2020).1Licence not specifiedover 2 years ago
- Emissions factors have long been the fundamental tool in developing national, regional, state, and local emissions inventories for air quality management decisions and in developing emissions control strategies. More recently, emissions factors have been applied in determining site-specific applicability and emissions limitations in operating permits by federal, state, local, and tribal agencies, consultants, and industry. AP-42 is a compendium of EPA recommended emissions factors.1Licence not specifiedover 2 years ago
- The dataset contains two XRF images of iron and uranium distribution on plant roots and a database of XANES data used to produce XANES spectra figure for Figure 7 in the published paper. This dataset is associated with the following publication: Kaplan, D., R. Kukkadapu, J. Seaman, B. Arey, A. Dohnalkova, S. Buettner, D. Li, T. Varga, K. Scheckel, and P. Jaffe. Iron Mineralogy and Uranium-Binding Environment in the Rhizosphere of a Wetland Soil. D. Barcelo SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 569: 53-64, (2016).1Licence not specifiedover 2 years ago
- Perfluorononanoic acid (PFNA) is one of the perfluoroalkyl acids found in the environment and in tissues of humans and wildlife. Prenatal exposure to PFNA negatively impacts survival and development of mice and activates the mouse and human peroxisome proliferator-activated receptor-alpha (PPARα). In the current study, we used PPARα knockout (KO) and 129S1/SvlmJ wild-type (WT) mice to investigate the role of PPARα in mediating PFNA-induced in vivo effects. Pregnant KO and WT mice were dosed orally with water (vehicle control: 10 ml/kg), 0.83, 1.1, 1.5, or 2mg/kg PFNA on gestational days (GDs) 1−18 (day of sperm plug = GD 0). Maternal weight gain, implantation, litter size, and pup weight at birth were unaffected in either strain. PFNA exposure reduced the number of live pups at birth and survival of offspring to weaning in the 1.1 and 2 mg/kg groups in WT. Eye opening was delayed (mean delay 2.1 days) and pup weight at weaning was reduced inWT pups at 2mg/kg. These developmental endpoints were not affected in the KO. Relative liver weight was increased in a dose-dependent manner in dams and pups of theWT strain at all dose levels but only slightly increased in the highest dose group in the KO strain. In summary, PFNA altered liver weight of dams and pups, pup survival, body weight, and development in the WT, while only inducing a slight increase in relative liver weight of dams and pups at 2mg/kg in KO mice. These results suggest that PPARα is an essential mediator of PFNA-induced developmental toxicity in the mouse. This dataset is associated with the following publication: Abbott, B., C. Wolf, J. Schmid, C. Lau, and R. Zehr. Developmental Effects of Perfluorononanoic Acid in the Mouse Are Dependent on Peroxisome Proliferator-Activated Receptor-alpha.. PPAR research. Hindawi Publishing Corporation, New York, NY, USA, 1-11, (2010).1Licence not specifiedover 2 years ago
- Data for publication Turley et al. "Applying the RISK21 approach to assess predictivity of new approach methodologies in toxicity testing and exposure assessment: a case study on food contact chemicals". Includes food concentration predictions from the model of Biryol et al. (2017) and SHEDS-HT exposure predictions. This dataset is associated with the following publication: Turley, A., K. Isaacs, B. Wetmore, A. Karmaus, M. Embry, and M. Krishan. Incorporating new approach methodologies in toxicity testing and exposure assessment for tiered risk assessment using the RISK21 approach: Case studies on food contact chemicals. FOOD AND CHEMICAL TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 134: 110819, (2019).1Licence not specifiedover 2 years ago
- Total mercury in precipitation collected using ASPS automated wet-only instrument and analyzed by cold vapor atomic fluorescence spectroscopy. This dataset is associated with the following publication: Lynam, M., J.T. Dvonch, J. Barres, M. Landis , and A. Kamal. Investigating the impact of local urban sources on total atmospheric mercury wet deposition in Cleveland, Ohio, USA. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 127: 262-271, (2016).1Licence not specifiedover 2 years ago
- The dataset is contained in a .zip file containing the two .csv files with data, and a data dictionary file. summedEmissionsSpeeds contains emissions estimates summed over several different modeling parameters, DwtSubtypes gives the mapping of shipType, and subtypes, to deadweight tonnage ranges as used in the linked publication. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.1Licence not specifiedover 2 years ago
- Functions and data tables for simulation and statistical analysis of chemical toxicokinetics ("TK") as in Pearce et al. (2017) . Chemical-specific in vitro data have been obtained from relatively high throughput experiments. Both physiologically-based ("PBTK") and empirical (e.g., one compartment) "TK" models can be parameterized for several hundred chemicals and multiple species. These models are solved efficiently, often using compiled (C-based) code. This dataset is associated with the following publication: Pearce , R., C. Strope , W. Setzer , N. Sipes , and J. Wambaugh. (Journal of Statistical Software) HTTK: R Package for High-Throughput Toxicokinetics. Journal of Statistical Software. American Statistical Association, Alexandria, VA, USA, 79(4): 1-26, (2017).1Licence not specifiedover 2 years ago
- Estimates of the final amount and final disposition of materials generated in the Construction and Demolition waste stream measured in total mass of each material. Traditional C&D materials included are concrete, asphalt pavement, asphalt shingles, bricks and clay, metal, wood, and gypsum drywall. Non-traditional materials in this stream include cardboard, organics, carpet, glass, plastic, and fines. The estimates are based on generation amounts described in the EPA SMM Facts and Figures reports. The method used to estimate final disposition is called CDDpath. This dataset is associated with the following publication: Townsend, T., W. Ingwersen, B. Niblick, P. Jain, and J. Wally. CDDPath: A method for quantifying the loss and recovery of construction and demolition debris in the United States. WASTE MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 84: 302-309, (2019).1Licence not specifiedover 2 years ago
- An abundance matrix (BM_OTU.xlsx) contains rows as OTU, columns as samples, and entries representing the abundance of each OTU as a ratio of all sequences obtained for each individual sample. This dataset is associated with the following publication: Gomez-Alvarez, V., and R. Revetta. Monitoring of Nitrification in Chloraminated Drinking Water Distribution Systems With Microbiome Bioindicators Using Supervised Machine Learning. Frontiers in Microbiology. Frontiers, Lausanne, SWITZERLAND, 11: 2254-2267, (2020).1Licence not specifiedover 2 years ago
- Heights and position of UAS from starting point. This dataset is associated with the following publication: Aurell, J., B. Mitchell, V. Chirayath, J. Jonsson, D. Tabor, and B. Gullett. Field determination of multipollutant, open area combustion source emission factors with a hexacopter unmanned aerial vehicle. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 166(11): 433-440, (2017).1Licence not specifiedover 2 years ago
- Co-infection data in the form of colony forming units and amoeba cell counts. This dataset is associated with the following publication: Buse , H., F. Schaefer, and G. Rice. Enhanced survival but not amplification of Francisella spp. in the presence of free-living amoebae. Acta Microbiologica et Immunologica Hungarica. Akademiai Kiado, Budapest, HUNGARY, 64(1): 17-36, (2016).1Licence not specifiedover 2 years ago
- Paper serves as non-technical introduction to series of papers on the same drinking water study. This dataset is associated with the following publication: Kolpin, D., S. Glassmeyer, and E. Furlong. An introduction to joint research by the USEPA and USGS on contaminants of emerging concern in source and treated drinking waters of the United States. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 579: 1608–1609, (2017).1Licence not specifiedover 2 years ago
- This data is a CSV file containeing ship technical details from IHS Sea-web. This dataset is not publicly accessible because: EPA cannot release CBI, or data protected by copyright, patent, or otherwise subject to trade secret restrictions. Request for access to CBI data may be directed to the dataset owner by an authorized person by contacting the party listed. It can be accessed through the following means: The vessel details in this dataset can be accessed via a subscription to IHS Sea-web: https://maritime.ihs.com/EntitlementPortal/Home/Index. Format: This data set was compiled as a CSV file. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.1Licence not specifiedover 2 years ago
- The dataset includes mean +/- standard deviation of each experiment ex vitro (in vitro) rat, in vivo rat, ex vitro (in vitro) human, calculated human. The rows show each fraction or factor in the experiment (e.g., skin wash, tape strip, etc.). The ex vivo data is from work completed at EPA-RTP. The in vivo data was from work completed at NIEHS. This dataset is associated with the following publication: Knudsen, G., A. Trexler, A. Richiards, M. Hughes, and L. Birnbaum. 2,4,6-Tribromophenol disposition and kinetics in rodents: effects of dose, route, sex, and species. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 169(1): 167-179, (2019).1Licence not specifiedover 2 years ago
- Data underlying the figures included in the manuscript "Marginal abatement cost curve for NOx incorporating controls, renewable electricity, energy efficiency and fuel switching". Data include national and regional Marginal Abatement Cost Curves. This dataset is associated with the following publication: Loughlin, D., A. Macpherson, K. Kaufman, and B. Keaveny. Marginal abatement cost curve for NOx incorporating controls, renewable electricity, energy efficiency and fuel switching. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 67(10): 1115-1125, (2017).1Licence not specifiedover 2 years ago
- This data is in the form of a CSV file provided by the U.S. Coast Guard from their NAIS dataset. the request period was: 01/01/2017-06/30/2017 the upper right bound of the data set is: 38.242°N, −116.796°W the lower left bound of the data set is 32.6703°N, −128.296°W The data was delivered in 5 minute intervals The fields contained in the data set are: MSG_TYPE,MMSI,NAME,PERIOD,LAT_AVG,LON_AVG,COG_DEG,SPEED_KNOTS,HEADING_DEG,IMO_NUMBER,CALL_SIGN,SHIP_AND_CARGO_TYPE,NAV_SENSOR,DRAUGHT,MMSI_COUNTRY_CD,DIM_BOW,DIM_STERN,DIM_STARBOARD,DIM_PORT,RECEIVER. This dataset is not publicly accessible because: EPA cannot release CBI, or data protected by copyright, patent, or otherwise subject to trade secret restrictions. Request for access to CBI data may be directed to the dataset owner by an authorized person by contacting the party listed. It can be accessed through the following means: Directions for requesting this data from the U.S. Coast Guard can be found at: https://www.navcen.uscg.gov/?pageName=AISdisclaimer. Format: This data is in the form of a CSV file provided by the U.S. Coast Guard from their NAIS dataset. the request period was: 01/01/2017-06/30/2017 the upper right bound of the data set is: 38.242°N, −116.796°W the lower left bound of the data set is 32.6703°N, −128.296°W The data was delivered in 5 minute intervals The fields contained in the data set are: MSG_TYPE,MMSI,NAME,PERIOD,LAT_AVG,LON_AVG,COG_DEG,SPEED_KNOTS,HEADING_DEG,IMO_NUMBER,CALL_SIGN,SHIP_AND_CARGO_TYPE,NAV_SENSOR,DRAUGHT,MMSI_COUNTRY_CD,DIM_BOW,DIM_STERN,DIM_STARBOARD,DIM_PORT,RECEIVER. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.1Licence not specifiedover 2 years ago
- The fasta file (BM_OTU.fasta) contain the sequences of the bacterial 16S rRNA-encoding V4 region gene (≈250 nt) for each Operational Taxonomic Unit (OTU). This dataset is associated with the following publication: Gomez-Alvarez, V., and R. Revetta. Monitoring of Nitrification in Chloraminated Drinking Water Distribution Systems With Microbiome Bioindicators Using Supervised Machine Learning. Frontiers in Microbiology. Frontiers, Lausanne, SWITZERLAND, 11: 2254-2267, (2020).1Licence not specifiedover 2 years ago
- Decay rates of SARS-CoV-2 and murine hepatitis virus. This dataset is not publicly accessible because: Data is property of CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, Dutton Park, QLD 4102, Australia. It can be accessed through the following means: Contact Warish Ahmed (Warish.Ahmed@csiro.au). Format: No public link available. Data will be in an ecel format. This dataset is associated with the following publication: Ahmed, W., P.M. Bertsch, K. Bibby, E. Haramoto, J. Hewitt, F. Huygens, P. Gyawali, A. Korajkic, S. Riddell, S.P. Sherchan, S.L. Simpson, K. Sirikanchana, E.M. Symonds, R. Verhagen, S.S. Vasan, M. Kitajima, and A. Bivins. Decay of SARS-CoV-2 and surrogate murine hepatitis virus RNA in untreated wastewater to inform application in wastewater-based epidemiology. ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam, NETHERLANDS, 191: 110092, (2020).1Licence not specifiedover 2 years ago
- The dataset contains energy and absorption data for XANES spectra indicated in Figure 1 of the manuscript. This dataset is associated with the following publication: Donner, E., K. Scheckel , R. Sekine, R. Popelka-Filcoff, J. Bennett, G. Brunetti, R. Naidu, S. McGrath, and E. Lombi. Non-labile silver species in biosolids remain stable throughout 50 years of weathering and ageing.. D.O. Carpenter, and E.Y. Zeng ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 205: 78-86, (2015).1Licence not specifiedover 2 years ago
- Model output used to generate figures 1-8, demonstrating differences between three different versions of Carbon Bond mechanisms and performance of the model against observed data. This dataset is associated with the following publication: Luecken, D., G. Yarwood, and B. Hutzell. Multipollutant modeling of ozone, reactive nitrogen and HAPs across the continental US with CMAQ-CB6. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 201: 62-72, (2019).1Licence not specifiedover 2 years ago
- This is metadata documentation for the Quality Assurance Tracking System - R7, an EPA Region 7 resource that tracks information on quality assurance reviews. Also called the QA Tracking System-R7 or QATS-R7. The reviews are completed under the Environmental Services (ENSV) Divsion at EPA Region 7.1Licence not specifiedover 2 years ago
- THIS DATA ASSET NO LONGER ACTIVE: This is metadata documentation for the Region 7 Air Compliance Complaint Database (ACCD) which logs all air pollution complaints received by Region 7. It contains information about the complaint along with how the complaint was addressed. The Air and Waste Management Division is the primary managing entity for this database. This work falls under objectives for EPA's 2003-2008 Strategic Plan (Goal 1) for Clean Air & Global Climate Change, which are to achieve healthier outdoor air.1Licence not specifiedover 2 years ago
- Data includes the metadata and links for images posted to social media with CUI redacted. This dataset is associated with the following publication: Angradi, T., J. Launspach, and R. Debbout. Determining preferences for ecosystem benefits in Great Lakes Areas of Concern from photographs posted to social media. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 44(2): 340-351, (2018).1Licence not specifiedover 2 years ago
- THIS DATA ASSET NO LONGER ACTIVE: This is metadata documentation for Web Air Permits in Region 7 (WAP R7), a Lotus Notes application that once tracked comment periods on air permits. This work fell under objectives for EPA's 2006-2011 Strategic Plan (Goal 5) for Compliance and Environmental Stewardship which are to achieve environmental protection through improved compliance and environmental stewardship (i.e., monitoring and enforcement). It was determined that this application was no longer used and was terminated on 5/22/2013. Data entries relating to air permits is now entered into an Excel spreadsheet and it is unclear if the original WAP database can be found.1Licence not specifiedover 2 years ago
- This is metadata documentation for the Quality Assurance Training Tracking System (QATTS) which tracks Quality Assurace training given by R7 QA staff to in-house staff and external partners.1Licence not specifiedover 2 years ago
- This is metadata documentation for the Region 7 Laboratory Information Management System (R7LIMS) which maintains records for the Regional Laboratory. Any Laboratory analytical work performed is stored in this system which replaces LIMS-Lite, and before that LAST. The EPA and its contractors may use this database. The Office of Policy & Management (PLMG) Division at EPA Region 7 is the primary managing entity; contractors can access this database but it is not accessible to the public.1Licence not specifiedover 2 years ago
- THIS DATA ASSET NO LONGER ACTIVE: This is metadata documentation for the Region 7 Drycleaner Database (R7DryClnDB) which tracks all Region7 drycleaners who notify Region 7 subject to Maximum Achievable Control Technologiy (MACT) standards. The Air and Waste Management Division is the primary managing entity for this database. This work falls under objectives for EPA's 2003-2008 Strategic Plan (Goal 4) for Healthy Communities & Ecosystems, which are to reduce chemical and/or pesticide risks at facilities.1Licence not specifiedover 2 years ago
- This dataset reports a variety of emissions from operation of a batch-fed waste gasifier with a combustor. This dataset is associated with the following publication: Aurell, J., M. Barnes, B. Gullett, A. Holder, and R. Eninger. Methodology for Characterizing Emissions from Small (0.5-2 MTD) Batch-Fed Gasification Systems Using Multiple Waste Compositions. WASTE MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 87: 398-406, (2019).1Licence not specifiedover 2 years ago
- Data sets include information on emissions of air pollutants, description of 3-D meteorological state of the atmosphere, and output from the CMAQ model over the northern hemisphere and contiguous U.S. This dataset is not publicly accessible because: This research was conducted a part of the primary author's Ph.D. dissertation at the University of North Carolina at Chapel Hill. All data sets were created on the UNC computers and are housed there. Since the data sets are not directly available to the EPA investigator, they are not included in ScienceHub. It can be accessed through the following means: Data sets can be accessed by contacting Dr. Sarav Arunachalam at UNC - sarav@email.unc.edu. Format: Model input (3D meteorological fields and 3D emission files) and output are in netcdf format. Observational data sets used are publicly available and typically available as ascii files. This dataset is associated with the following publication: Vennam, L., W. Vizuete, K. Talgo, M. Omary, F. Binkowski, J. Xing, R. Mathur, and S. Arunachalam. Modeled Full-Flight Aircraft Emissions Impacts on Air Quality and Their Sensitivity to Grid Resolution. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 122(24): 13,472–13,494, (2017).1Licence not specifiedover 2 years ago
- Human activities such as agricultural fertilization and fossil fuel combustion have introduced a massive amount of anthropogenic nitrogen (N) in reactive forms to the environment. As agricultural fertilization is the single largest anthropogenic N source, an integrated approach to understand the interactions among agriculture, atmosphere, and hydrology is essential in examining human-altered N cycling. We have developed an integrated modeling system with agriculture EPIC, atmosphere WRF/CMAQ, and hydrology SWAT. This integrated system is useful tool for scientists and policy-makers to answer many questions on cycling of water, carbon, and nutrients for sustaining the food production while protecting the environment. This dataset is associated with the following publication: Ran, L., Y. Yuan, E. Cooter, V. Benson, J. Pleim, R. Wang, and J. Williams. An Integrated Agriculture, Atmosphere, and Hydrology Modeling System for Ecosystem Assessments. Journal of Advances in Modeling Earth Systems. John Wiley & Sons, Inc., Hoboken, NJ, USA, 11(12): 4645-4668, (2019).1Licence not specifiedover 2 years ago
- Dataset is an Excel file with 6 tabs as follows: 1) Changelog: Documentation of additions and changes to file since its creation 2) Citations: Listing of citations with full references used in other 4 tabs 3-6) Fish, Herps, Zoops, Benthos: For each of these 4 groups, a listing where rows are unique taxa and columns are the attributes recorded for them as described in the journal manuscript. This dataset is associated with the following publication: Trebitz, A., M. Sykes, and J. Barge. A reference inventory for aquatic fauna of the Laurentian Great Lakes. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 45(6): 1036-1046, (2019).1Licence not specifiedover 2 years ago
- The Air Quality System (AQS) database contains measurements of air pollutant concentrations from throughout the United States and its territories. The measurements include both criteria air pollutants and hazardous air pollutants.1Licence not specifiedover 2 years ago
- This data set contains dose-response data for perchlorate exposure in multiple species. These data were assembled from peer-reviewed studies. Species included in this dataset are: rats (Rattus sp.), meadow voles (Microtus sp.), rabbits (Oryctolagus cuniculus), the African clawed frog (Xenopus laevis), zebrafish (Danio rerio), mosquito fish (Gambusia holbrooki), the bobwhite quail (Colinus virginianus), earthworms (Eisenia foetida), mosquito larvae (Culex quinquefasciatus), the water flea (Daphnia magna), and the sand dollar (Peronella japonica). This dataset is associated with the following publication: Hines, D., S. Edwards, R. Conolly, and A. Jarabek. The Aggregate Exposure Pathway (AEP) and Adverse Outcome Pathway (AOP) frameworks facilitate the integration of human health and ecological endpoints for Cumulative Risk Assessment (CRA). ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(2): 839-849, (2018).1Licence not specifiedover 2 years ago
- Data for figures in paper that show emissions by ammunition type and time. This dataset is associated with the following publication: Aurell, J., A. Holder, B. Gullett, K. McNesby, and J. Weinstein. Characterization of M4 Carbine Rifle Emissions With Three Ammunition Types. ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 254: 254, (2019).1Licence not specifiedover 2 years ago
- The data includes measured data from Ecoregions 69 and 70 in West Virginia. Paired biological and chemical grab samples are included. These data were used to estimate SC extirpation concentration (XC95) for benthic invertebrate genera. Also included are cumulative frequency distribution plots, scatter plots fitted with generalized additive models, and biogeographical maps of observations of each genus. The metadata and full data set is available in Supplemental Appendices S4 and S5, respectively. The output of 176 XC95 values from Ecoregions 69 and 70 are provided in Supplemental Appendix S6. Supplemental Appendix S7 depicts the probability of observing a genus for discrete ranges of SC. Supplemental Appendix S8 depicts the proportion of occurrence of a genus for discrete ranges of SC. Supplemental Appendix S9 shows the biogeographic distributions of the genera included in the data set. We also discuss limitations of this method to help avoid misinterpretations and inferential errors. A data dictionary is provided in Cond_DataFileColumnMetada-20161221. This dataset is associated with the following publication: Cormier, S., L. Zheng, E. Leppo, and A. Hamilton. Step-by-Step Calculation and Spreadsheet Tools for Predicting Stressor Levels that Extirpate Genera and Species. Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 14(2): 174-180, (2018).1Licence not specifiedover 2 years ago
- The Great Lakes Initiative Toxicity Data Clearinghouse is a central location for information on criteria, toxicity data, exposure parameters and other supporting documents used in developing water quality standards in the Great Lakes Watershed.1Licence not specifiedover 2 years ago
- This dataset is the raw Luminex antibody responses to six common waterborne pathogens reported in MFI (Median Fluorescence Intensity) units. This dataset is associated with the following publication: Augustine , S., T. Eason , K. Simmons, C. Curioso, S. Griffin , M. Ramudit, and T. Plunkett. Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens. Journal of Visualized Experiments. JoVE, Somerville, MA, USA, 115: e54415, (2016).1Licence not specifiedover 2 years ago
- The dataset consists of GPS coordinates for benthic invertebrate collections made in the St. Louis River Estuary in 2011 through 2013, and information on whether and how many faucet snail individuals were found. This dataset is associated with the following publication: Trebitz , A., G. Shepard, V. Brady, and K. Schmude. The non-native faucet snail (Bithynia tentaculata) makes the leap to Lake Superior. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 41(4): 1197-1200, (2015).1Licence not specifiedover 2 years ago
- exposure_experiment.csv: time: length of time that amphibian was exposed to that pesticide in hours. parent: is the active ingredient that the amphibian was exposed to. analyte: either the main parent compound or the metabolite that was quantified. matrix: the sample that was analyzed either the amphibian or soil. conc: is the concentration for that specific analyte in that matrix for that specific species in microg/g replicate: is the individual amphibian or soil exposed to that pesticide. microsome_experiment3.csv: time: is the length of time that the microsomes were exposed before being quenched in minutes. parent: is the active ingredient that the amphibian was exposed to. analyte: either the main parent compound or the metabolite that was quantified. matrix: the sample that was analyzed microsomes. conc: is the concentration for that specific analyte in that matrix for that specific species. in micromolar (uM) replicate: is the individual microsome exposed to that pesticide. microMexp: is the concentration in micromolar (uM) that the microsomes were exposed to for that pesticide. This dataset is associated with the following publication: Glinski, D., M. Henderson, R. Van Meter, and T. Purucker. Using in vitro derived enzymatic reaction rates of metabolism to inform pesticide body burdens in amphibians. TOXICOLOGY LETTERS. Elsevier Science Ltd, New York, NY, USA, 288: 9-16, (2018).1Licence not specifiedover 2 years ago
- Background information for human health margin of exposure paper. This dataset is associated with the following publication: Benson , B., O. Conerly , W. Sander, A. Batt , E. Furlong, S. Glassmeyer , D. Koplin, H. Mash , K. Schenck , J. Simmons , and S. Boone. Human Health Screening and Public Health Significance of Contaminants of Emerging Concern Detected in Public Water Supplies. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 579: 1643-1648, (2017).1Licence not specifiedover 2 years ago
- Data is based on overlap of topographic, soil drainage, and national wetland inventory areas. This dataset is associated with the following publication: Horvath, E., J. Christensen, M. Mehaffey, and A. Neale. Building a Potential Wetland Restoration Indicator for the Contiguous United States.. ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 83: 462-473, (2017).1Licence not specifiedover 2 years ago
- Data set contains: the length of mummichogs (Fundulus heteroclitus) caught on lift nets and Breder traps from May to September 2002; the sizes of green crabs caught in the lift nets and Breder traps during same time frame; the mean density and sample size data for each sampling time and each site (3 sites total) for total nekton sampled and total nekton minus shrimp. This dataset is associated with the following publication: Raposa, K., and M. Chintala. Comparison of Bottomless Lift Nets and Breder Traps for Sampling Salt-Marsh Nekton. TRANSACTIONS OF THE AMERICAN FISHERIES SOCIETY. American Fisheries Society, Bethesda, MD, USA, 145(1): 163-172, (2016).1Licence not specifiedover 2 years ago
- AIRTRAX is the Region 3 online database for tracking rulemaking actions that are submitted to us by state agencies1Licence not specifiedover 2 years ago
- A KML file with the location of all real time air quality monitors and the current conditions (air quality index).1Licence not specifiedover 2 years ago
- The National Emission Inventory contains measured, modeled, and estimated data for emissions of all known source categories in the US (stationary sources, fires, light duty vehicles and trucks, Heavy duty engines, Motorcycles, ATVs, non-road engines and equipment, locomotives, aircraft, and marine vessels). The statutory authority leading to the collection of this information comes from Title II, Part A of the Clean Air Act.Substance classes include CAPs, HAPs, and some GHG data.Data included in the National Emission Inventory is collected annually, Air Pollutant Trends Data is made available annually, and an National Emissions Inventory of air emissions of both Criteria and Hazardous air pollutants from all air emissions sources is prepared every three years.1Licence not specifiedover 2 years ago
- Data for all the tables and figures on the frequency of haplotypes found in a tropical watershed contaminated with human fecal pollution. This dataset is associated with the following publication: Kapoor, V., M. Elk, C. Toledo-Hernandez, and J. Santodomingo. Analysis of human mitochondrial DNA sequences from fecally polluted environmental waters as a tool to study population diversity. AIMS Environmental Science. AIMS Press, Springfield, MO, USA, 4(3): 443-455, (2017).1Licence not specifiedover 2 years ago
- Dataset includes data from each experiment conducted in the pilot-scale testing. Each sheet of the Excel file pertains to each test. A data dictionary is included in the first sheet. In each sheet there are microbiological data (colony forming units) for each test and positive control coupon used in the study. Also shown is the calculation of decontamination efficacy (log10 reduction). This dataset is associated with the following publication: Wood, J., W. Calfee, S. Ryan, L. Mickelsen, M. Clayton, and V. Rastogi. A Simple Decontamination Approach Using Hydrogen Peroxide Vapor for Bacillus anthracis Spore Inactivation. JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 121(6): 1603-1615, (2016).1Licence not specifiedover 2 years ago
- This dataset includes the standard curves for ICCRTqPCR to convert the assay quantities to the concentrations of infectious viruses and all the calculations on inactivation rate constants. Also, all the figures used in the manuscripts are presented. This dataset is associated with the following publication: Ryu, H., K. Schrantz, N. Brinkman, and L. Boczek. Applicability of integrated cell culture reverse transcriptase quantitative PCR (ICC-RTqPCR) for the simultaneous detection of the four human enteric enterovirus species in disinfection studies. JOURNAL OF VIROLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 258: 35-40, (2018).1Licence not specifiedover 2 years ago
- The dataset include the following figures and tables: 1)Changes in protein expression of the 14 pathway regulators induced by Ni (II). 2)Hierarchical clustering of 12 differentially expressed or phosphorylated proteins in BEAS-2B cells treated with Ni (II). 3) Relative cell survival (X-axis) vs. protein expression or phosphorylation levels (Y-axis) in BEAS-2B control cells treated with Ni (II) at 4 different concentrations 4)Four representative proteins, PDIA1, ACADM, RUVBL1, PRDX2 identified using 2-DE profiling were either increased or decreased in a concentration responsive manner 5)Networks of proteins showing inter-relationships and pathways which was obtained using IPA 6)Schematic representation of the interplay of the core proteins and cytotoxicity pathways mediated by Ni (II). 7) some supplementary data. This dataset is associated with the following publication: Ge , Y., M. Bruno , N. Coates , K. Wallace , D. Andrews , A. Swank , W. Winnik , and J. Ross. Proteomic Assessment of Biochemical Pathways That Are Critical to Nickel-Induced Toxicity Responses in Human Epithelial Cells. PLoS ONE. Public Library of Science, San Francisco, CA, USA, 11(9): 1-20, (2016).1Licence not specifiedover 2 years ago
- To assist the OIG in planning and managing audits, evaluations, investigations and other OIG activiities (SORN - 42)1Licence not specifiedover 2 years ago
- A REST web service API allowing the retrieval of real time air quality index data from AirNow.1Licence not specifiedover 2 years ago
- The majority of this dataset includes the query output from online databases ECOTOX and SeqAPASS used to support the ecological AOP case studies described within the manuscript. The final worksheet includes the raw data used to generate concentration vs response curves for four putative chemical initiators (Supplemental Figure S4). This dataset is associated with the following publication: Fay, K., D. Villeneuve, C. LaLone, Y. Song, K.E. Tollefsen, and G. Ankley. Practical approaches to adverse outcome pathway (AOP) development as illustrated by ecological case studies. SOCIETY OF ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY JOURNAL. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 36(6): 1429–1449, (2017).1Licence not specifiedover 2 years ago
- Data on NOx RACT, ozone nonattainment, and power plant employment, and program files used in: Glenn Sheriff, Ann E. Ferris, and Ronald J. Shadbegian, "How Did Air Quality Standards Affect Employment at US Power Plants? The Importance of Timing, Geography, and Stringency," Journal of the Association of Environmental and Resource Economists 6, no. 1 (January 2019): 111-149. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.1Licence not specifiedover 2 years ago
- Total and methyl mercury, moisture content (%), and porosity were measured in Lake Michigan sediment by the U.S. Environmental Protection Agency/Office of Research and Development/National Health and Environmental Effects Research Laboratory/Mid-Continent Ecology Division/Large Lakes Research Station, Grosse Ile, MI. Both core and Ponar grab samples were collected. The samples were collected from 1994 through 1996. These mercury data were used in the LM2-Mercury model. This dataset is associated with the following publication: Zhang, X., K. Rygwelski , M. Rowe, R. Rossmann, and R. Kreis. Global and regional contributions to total mercury concentrations in Lake Michigan water. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 42(1): 62-69, (2016).1Licence not specifiedover 2 years ago
- light attenuation data within NW Florida estuaries during 2009-2013. This dataset is associated with the following publication: Conmy, R., B. Schaeffer, J. Schubauer-Berigan, J. Aukamp, A. Duffy, J. Lehrter, and R. Greene. Characterizing light attenuation within Northwest Florida Estuaries: Implications for RESTORE Act water quality monitoring. Charles Sheppard, Francois Galgani, Pat Hutchings, and Victor Quintino MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 114(2): 995-1006, (2017).1Licence not specifiedover 2 years ago
- A web page that describes and links to EPA systems for accessing and downloading ambient (outdoor) air quality and emissions data1Licence not specifiedover 2 years ago
- List of chemicals used for model evaluation, their MW, log KOW, and references for the original data source(s), the review(s) the data was collected from, and reference for log KOW as cited in the reviews. [Table SI-3 of research article]. This dataset is associated with the following publication: Brown, T., J. Armitage, P. Egeghy, I. Kircanski, and J. Arnot. Dermal permeation data and models for the prioritization and screening-level exposure assessment of organic chemicals. ENVIRONMENT INTERNATIONAL. Elsevier Science Ltd, New York, NY, USA, 94: 424-435, (2016).1Licence not specifiedover 2 years ago
- Automated auditing tool that allows staff to create and store assignments, workpapers, findings and related audit work. (SORN - 50)1Licence not specifiedover 2 years ago
- This dataset contains the data contributed by EPA/ORD/NERL/CED researchers to the manuscript "Modelling black carbon absorption of solar radiation: combining external and internal mixing assumptions" led by Dr. Gabriele Curci of the University of L’Aquila in L’Aquila, Italy. This dataset is associated with the following publication: Curci, G., U. Alyuz, R. Baro, R. Bianconi, J. Bieser, J. Christensen, A. Colette, A. Farrow, X. Francis, P. Jimenez-Guerrero, U. Im, P. Liu, A. Manders, L. Palacios-Pena, M. Prank, L. Pozzoli, R. Sokhi, E. Solazzo, P. Tuccella, A. Unal, M. Garcia Vivanco, C. Hogrefe, and S. Galmarini. Modelling black carbon absorption of solar radiation: combining external and internal mixing assumptions. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 19(1): 181-204, (2019).1Licence not specifiedover 2 years ago
- The Piscine Stream Community Estimation System (PiSCES) provides users with a hypothesized fish community for any stream reach in the conterminous United States using information obtained from Nature Serve, the US Geological Survey (USGS), StreamCat, and the Peterson Field Guide to Freshwater Fishes of North America for over 1000 native and non-native freshwater fish species. PiSCES can filter HUC8-based fish assemblages based on species-specific occurrence models; create a community abundance/biomass distribution by relating relative abundance to mean body weight of each species; and allow users to query its database to see ancillary characteristics of each species (e.g., habitat preferences and maximum size). Future efforts will aim to improve the accuracy of the species distribution database and refine/augment increase the occurrence models. The PiSCES tool is accessible at the EPA's Quantitative Environmental Domain (QED) website at https://qed.epacdx.net/pisces/. This dataset is associated with the following publication: Cyterski, M., C. Barber, M. Galvin, R. Parmar, J. Johnston, D. Smith, A. Ignatius, L. Prieto, and K. Wolfe. PiSCES: Pi(scine) Stream Community Estimation System. ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science, New York, NY, 127: 104703, (2020).1Licence not specifiedover 2 years ago
- The High Production Volume Information System (HPVIS) provides access to select health and environmental effect information on chemicals that are manufactured in exceptionally large amounts.1Licence not specifiedover 2 years ago
- The EPA Control Strategy Tool (CoST) is a software tool for projecting potential future control scenarios, their effects on emissions and estimated costs. This tool uses the NEI and the Control Measures Dataset as key inputs. CoST outputs are projections of future control scenarios.1Licence not specifiedover 2 years ago
- The dataset is the raw and partially analyzed urinary mutagenicity data, which were generated by US EPA scientists at the US EPA/RTP. The data consist of the number of mutant colonies (revertants) per petri plate at each dose of the organic extract of the urine. These are accompanied by the positive and negative controls. In addition, the data from each experiment have been partially analyzed by performing a linear regression of the data to generate a slope value (revertants/ml-equivalents of urine) as well as an r-squared value, which is a measure of how linear the line is (i.e., how close to a straight line the data are). This dataset is associated with the following publication: Adetona, A., W.K. Martin, S. Warren, N. Hanley, O. Adetona, J.(. Zhang, C. Simpson, M. Paulsen, S. Rathbun, J. Wang, D. DeMarini, and L. Naeher. Urinary Mutagenicity as a Biomarker of Occupational Smoke Exposures of Wildland Firefighters Performing Prescribed Burns. INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 31(2): 73-87, (2019).1Licence not specifiedover 2 years ago
- This study was performed to determine the role of adrenal-derived stress hormones in mediating brain effects after ozone exposure. Sham and adrenalectomized rats were exposed to air or ozone for 4 hours and within 2 hours after exposure brain regions, hypothalamus and brainstem were isolated and circulating pituitary hormones were analyzed. Global gene expression was analysed in these two brain regions using Illumina mRNA sequencing platform and data were analyzed using various bioinformatics platforms. The resulting data are included in this manuscript. This dataset is associated with the following publication: Henriquez, A., J. House, S. Snow, C. Miller, M. Schladweiler, A. Astriab Fisher, H. Ren, M. Valdez, P. Kodavanti, and U. Kodavanti. Ozone-induced dysregulation of neuroendocrine axes requires adrenal-derived stress hormones. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 172(1): 38-50, (2019).1Licence not specifiedover 2 years ago
- OTS is an internal EPA national tribal database to assist the Regions and HQs in tracking tribal performance information.1Licence not specifiedover 2 years ago
- The Monitoring Knowledge Base (MKB) is a compilation of emissions measurement and monitoring techniques associated with air pollution control devices, industrial process descriptions, and permitting techniques, including flexible permit development. Using MKB, one can gain a comprehensive understanding of emissions sources, control devices, and monitoring techniques, enabling one to determine appropriate permit terms and conditions.1Licence not specifiedover 2 years ago
- This data set pertains to the manuscript "Exacerbation of ozone-induced pulmonary and systemic effects by 2-adrenergic and/or glucocorticoid agonist/s". It shows the raw data for each figure in the manuscript that is created with these data. Basically examining the influence of beta adrenergic and glucocorticoid receptor agonists on ozone-induced lung injury and inflammation. This dataset is associated with the following publication: Henriquez, A., S. Snow, M. Schladweiler, C. Miller, J. Dye, A. Ledbetter, M. Hargrove, U. Kodavanti, and J. Richards. Exacerbation of ozone-induced pulmonary and systemic effects by beta2-adrenergic and/or glucocorticoid agonist/s. Scientific Reports. Nature Publishing Group, London, UK, 9(1): 17925, (2019).1Licence not specifiedover 2 years ago
- 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).1Licence not specifiedover 2 years ago
- The data consist of measured feather concentrations of total mercury (THg) in six species of raptors sampled at Hawk Ridge, Duluth MN between 2009 and 2012. The species sampled were Sharp-shinned Hawk (Accipiter striatus), Northern Goshawk (Accipiter gentilis), Long-eared Owl (Asio otus), American Kestrel (Falco sparverius), Merlin (Falco columbarius), and Northern Harrier (Circus hudsonius). This dataset is associated with the following publication: Keyel, E., M. Etterson, G. Niemi, D. Evers, C. DeSorbo, J. Hoffman, J. Nichols, Y. Li, and F. Nicoletti. Feather mercury increases with feeding at higher trophic levels in two species of migrant raptors, Merlin (Falco columbarius) and Sharp-shinned Hawk (Accipiter striatus). The Condor. The Cooper Ornithological Society, Bend, OR, USA, 122: 1-17, (2020).1Licence not specifiedover 2 years ago
- This file provides all the data that was used to estimate the physical input outputs for the State of Illinois. The attached paper describes how the data was collected and provides all the metadata. This dataset is associated with the following publication: Singh, S., J. Compton, T. Hawkins, D. Sobota, and E. Cooter. A Nitrogen Physical Input-Output Table (PIOT) Model for Illinois. ECOLOGICAL MODELLING. Elsevier Science BV, Amsterdam, NETHERLANDS, 360: 194-203, (2017).1Licence not specifiedover 2 years ago
- These are raw data/image files from the Malvern Zetasizer Instrument. This dataset is associated with the following publication: Buse, H., J. Hoelle, C. Muhlen, and D. Lytle. Electrophoretic mobility of Legionella pneumophila serogroups 1 to 14. FEMS MICROBIOLOGY LETTERS. Elsevier Science Ltd, New York, NY, USA, 1, (2018).1Licence not specifiedover 2 years ago
- Coliphage are alternative fecal indicators that may be suitable surrogates for viral pathogens, but a majority of standard detection methods utilize insufficient sample volumes (1-100 mL) for routine detection in environmental waters. Here we compare three somatic and F+ coliphage enumeration methods based on a paired measurement from 1L samples collected from the Great Lakes region (n=74). Methods include: 1) a dead-end hollow fiber ultrafilter combined with single agar layer plaque assay (D-HFUF-SAL); 2) a modified SAL (M-SAL); and 3) a direct membrane filtration (DMF) technique. Overall, D-HFUF-SAL outperformed all other methods as it yielded the lowest frequency of non-detects [(ND); 10.8%] and the highest average coliphage concentrations (2.51 ± 1.02 log10 plaque forming unit/liter (PFU/L) and 0.79 ± 0.71 log10 PFU/L for somatic and F+, respectively). M-SAL yielded 29.7% ND and average concentrations of 2.26 ± 1.15 log10 PFU/L (somatic) and 0.59 ± 0.82 log10 PFU/L (F+). DMF performed worse compared to D-HFUF-SAL and M-SAL methods (ND of 65.6%; average somatic coliphage concentration 1.52 ± 1.32 log10 PFU/L, with no F+ detected), indicating this procedure is unsuitable for 1L surface water sample volumes. This study represents an important step toward the use of a coliphage method for recreational water quality criteria purposes. This dataset is associated with the following publication: McMinn, B., E. Rhodes, E. Huff, P. Wanjugi, M. Ware, S. Nappier, M. Cyterski, O. Shanks, K. Oshima, and A. Korajkic. Comparison of somatic and F+ coliphage enumeration methods with large volume surface water samples. JOURNAL OF VIROLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 261: 63-66, (2018).1Licence not specifiedover 2 years ago
- Ambient ozone concentrations for 2007 from the national ambient air quality monitoring networks stored in the Air Quality System (AQS).1Licence not specifiedover 2 years ago
- In September, 2015, a water sample was collected downstream of a major metropolitan waste water treatment plant that discharges to the South Platte River, Colorado, USA. The grab sample, 1L, was collected just below the water surface, directly into a pre-cleaned, organic-free, amber glass bottle. The water sample was extracted by solid phase extraction using an Oasis-HLB glass catridge. Cartidges were conditioned sequentially using 5mL each of ethyl acetate, 50:50 methanol (MeOH):dichloromethane (DCM), MeOH, and water. The extract in DMSO was tested in the Attagene cis- and trans-FactorialTM assays (http://www.attagene.com/technology.php; Martin and others 2010; Romanov and others 2008). Data were analyzed using an established analysis pipeline for analyzing ToxCast™ high throughput screening data (Filer and others 2017). "Active hits" in the Attagene assay are included in the data table. This dataset is associated with the following publication: Knapen, D., M. Angrish, M. Fortin, I. Katsiadaki, M. Leonard, L. Mariotta-Casaluci, S. Munn, J. O'Brien, N. Pollesch, L.C. Smith, X. Zhang, and D. Villeneuve. Adverse outcome pathway networks I: Development and applications. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 37(6): 1723-1733, (2018).1Licence not specifiedover 2 years ago
- 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).1Licence not specifiedover 2 years ago
- FIB concentrations, rate of release from manure, FIB transport, daily flow, non-point source. This dataset is associated with the following publication: Kim, K., G. Whelan, M. Molina, R. Parmar, K. Wolfe, M. Galvin, P. Duda, R. Zepp, J. Kinzelman, G. Kleinheinz, and M. Borchardt. Using Integrated Environmental Modeling to Assess Sources of Microbial Contamination in Mixed-Use Watersheds. JOURNAL OF ENVIRONMENTAL QUALITY. American Society of Agronomy, MADISON, WI, USA, 47(5): 1103-1114, (2018).1Licence not specifiedover 2 years ago
- Phage Data. This dataset is associated with the following publication: Zepp, R., M. Cyterski, K. Wong , O. Georgacopoulos, B. Acrey, G. Whelan, R. Parmar, and M. Molina. Biological Weighting Functions for Evaluating the Role of Sunlight-Induced Inactivation of Coliphages at Selected Beaches and Nearby Tributaries. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(22): 13068-13076, (2018).1Licence not specifiedover 2 years ago
- This dataset concerns the development of models for describing the acute toxicity of major ions to Ceriodaphnia dubia using data from single salt tests and binary mixture tests described in two other datasets under this research effort. It provides the data used in model development in the associated journal article. It also provides concentration-response data and associated general chemistry conditions for 3 experiments consisting of 14 toxicity tests on more complex mixtures of major ions based on data regarding elevated major ions in effluents and receiving waters, which was used for testing the models. . This dataset is associated with the following publication: Erickson, R., D. Mount, T. Highland, R. Hockett, D. Hoff, T. Norberg-King, and K. Peterson. The acute toxicity of major ion salts to Ceriodaphnia dubia: III. Mathematical models for mixture toxicity. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 1-13, (2017).1Licence not specifiedover 2 years ago
- The dataset consists of daily measurements of N2O, N2O isotopic abundance and site preference, and CO2 flux. Data are presented as a daily averages of 10 second data, obtained over a 46 day period. This dataset is associated with the following publication: Yuan, Y., H. Chen, W. Yuan, D. Williams, J. Walker, and w. Shi. Is biochar-manure co-compost a better solution for soil health improvement and N2O emissions mitigation?. BIOGEOCHEMISTRY. Springer, New York, NY, USA, 113: 14-25, (2017).1Licence not specifiedover 2 years ago
- Disposition of TBBPA-BDBPE following ex vivo application to rat or human skin, in vivo application to rat skin and estimated human in vivo from the ex vivo rat and human and in vivo rat data. This dataset is associated with the following publication: Knudsen, G., M. Hughes, and L. Birnbaum. Dermal disposition of Tetrabromobisphenol A Bis(2,3-dibromopropyl) ether (TBBPA-BDBPE) using rat and human skin. TOXICOLOGY LETTERS. Elsevier Science Ltd, New York, NY, USA, 301: 108-113, (2019).1Licence not specifiedover 2 years ago
- EPA regulations codified in 40 CFR Part 60 and 63 require affected sources to perform emissions source tests, conduct continuous emissions monitoring, and submit compliance and emissions reports . EPA is promulgating "E-Reporting" rules to require affected sources to electronically submit source test results, emissions monitoring data, compliance reports, and emissions reports to EPA. As a result the EPA has developed the Compliance and Emissions Data Reporting Interface (CEDRI) which is located on EPA's Central Data Exchange (CDX). The CDX Web is the application used by EPA programs and various stakeholders to manage environmental data transmitted to EPA in order to meet EPA's reporting requirements.1Licence not specifiedover 2 years ago
- This asset provides data on regional air quality, including trace level SO2, nitric acid, ozone, carbon monoxide, and NOy; and particulate sulfate, nitrate, and ammonium from 1989 to present. Precipitation and meteorology are provided from 1989 to 2011.1Licence not specifiedover 2 years ago
- Laboratory complex conductivity data from partially saturated sand columns with silver nanoparticles. This dataset is not publicly accessible because: It involves two universities and the EPA. The EPA collaborated in the research; but did not provide funding. The data are the property of the universities. It can be accessed through the following means: The authors can be contacted individually for the data. Format: The data will be in xlsx format. This dataset is associated with the following publication: Abdel Aal, G., E. Atekwana, and D. Werkema. Complex conductivity response to silver nanoparticles in partially saturated sand columns. JOURNAL OF APPLIED GEOPHYSICS. Elsevier Science Ltd, New York, NY, USA, 137: 73-81, (2017).1Licence not specifiedover 2 years ago
- Photochemical Assessment Monitoring Stations (PAMS). This file provides information on the numbers and distribution (latitude/longitude) of air monitoring sites which measure ozone precursors (approximately 60 volatile hydrocarbons and carbonyl), as required by the 1990 Clean Air Act Amendments, in areas with persistently high ozone levels (mostly large metropolitan areas). In these areas, the States have established ambient air monitoring sites which collect and report detailed data for volatile organic compounds, nitrogen oxides, ozone and meteorological parameters. This file displays 199 monitoring sites reporting measurements for 2010. A wide range of related monitoring site attributes is also provided.1Licence not specifiedover 2 years ago
- This data exchange allows states to submit data to the US Environmental Protection Agency's National Emissions Inventory (NEI). NEI is a national database of air emissions information including input from numerous State and local air agencies, tribes, and industry. (Status: In Transition to the Emission Inventory System)1Licence not specifiedover 2 years ago
- 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).1Licence not specifiedover 2 years ago
- Data sets for all figures and tables in the manuscript. This dataset is associated with the following publication: McMinn, B., S. Klemm, A. Korajkic, K. Wyatt, M. Herrmann, R. Haugland, J. Lu, E. Villegas, and C. Frye. A constructed wetland for treatment of an impacted waterway and the influence of native waterfowl on its perceived effectiveness.. ECOLOGICAL ENGINEERING. Elsevier Science Ltd, New York, NY, USA, 128: 48-56, (2019).1Licence not specifiedover 2 years ago
- This data set contains ToxPrint finger prints for all chemicals in FUse that had QSAR-ready SMILES strings as well as select physicochemical properties from the Estimation Program Interface Suite (EPI Suite) program. This dataset is associated with the following publication: Phillips, K., J. Wambaugh, C. Grulke, K. Dionisio, and K. Isaacs. High-throughput screening of chemicals as functional substitutes using structure-based classification models. GREEN CHEMISTRY. Royal Society of Chemistry, Cambridge, UK, 19: 1063-1074, (2017).1Licence not specifiedover 2 years ago
- The Emissions Modeling Clearinghouse (EMCH) supports and promotes emissions modeling activities both internal and external to the EPA. Through this site, the EPA distributes and documents emissions datasets that are formatted for use in emissions models, which are used for emissions preparation for air quality modeling. The inventory data on this site are dervied from previous and current versions of the National Emission Inventory (NEI). This site also distributes the EPA's latest versions of ancillary datasets used to support the temporal, spatial, speciation, and future-year projection of these emissions.1Licence not specifiedover 2 years ago
- The dataset presents the metadata going into Figures presented in the manuscript. This dataset is associated with the following publication: Kaplan, O., and J. Witt. What is the role of distributed energy resources under scenarios of greenhouse gas reductions? A specific focus on combined heat and power systems in the industrial and commercial sectors. Applied Energy. Elsevier B.V., Amsterdam, NETHERLANDS, 235: 83-94, (2018).1Licence not specifiedover 2 years ago
- The data contained in this worksheet provides the Median Fluorescence Intensity (MFI) readings from saliva samples serially collected during the Boquerón Beach, Puerto Rico study. Samples were analyzed using the bead-based multiplex immunoassay to assess immunoconversions in the beachgoers to multiple waterborne pathogens. In the study, we collected an initial sample (S1) at the beach and the remaining samples (S2 and S3) were self-collected by participants 10 -14 and 30 - 40 days later, respectively. This dataset is associated with the following publication: Simmons, K.J., T. Eason, C.L. Curioso, S. Griffin, M.K.D. Ramudit, K. Oshima, E. Sams, T. Wade, A. Grimm, A. Dufour, and S. Augustine. Visitors to a Tropical Marine Beach Show Evidence of Immunoconversions to Multiple Waterborne Pathogens. Frontiers in Public Health. Frontiers, Lausanne, SWITZERLAND, issue}: 231, (2019).1Licence not specifiedover 2 years ago
- These data describe the chromatography characteristics of the MARGA instrument software as compared to an alternative, independent technique for chromatogram processing, including an assessment of accuracy, precision and method detection limit. This dataset is associated with the following publication: Chen, X., J. Walker, and C. Geron. Chromatography related performance of the Monitor for Aerosols and Gases in Ambient Air (MARGA): laboratory and field based evaluation. Atmospheric Measurement Techniques. Copernicus Publications, Katlenburg-Lindau, GERMANY, 10(3893): 3908, (2017).1Licence not specifiedover 2 years ago
- This file has two sheets. Data are measurements by Citizen Science Air Monitors (CSAM) and Federal Monitors, which sampled particulate matter (PM), nitrogen dioxide (NO2), relative humidity (RH), and temperature (T). Variables for each sheet are described in more detail below The sheet “Snorkel No-Snorkel Comparison” includes data from two CSAM units, CSAM-2 and CSAM-3. CSAM-2 used a snorkel tube to sample outdoor air, and CSAM-3 did not use a snorkel tube. CSAM-2 and CSAM-3 were not in the same sampling location, but did sample contemporaneous measurements. These data were used to perform a snorkel and no-snorkel comparison. The sheet “CSAM-1 and Federal Monitor” includes data from a CSAM unit (CSAM-1) and a Federal Monitor (which is used for regulatory measurements of air pollution). CSAM-1 and the Federal Monitor were installed in the same sampling location and recorded contemporaneous measurements. For CSAM-1, original recorded measurements are included, as well as measurements that were corrected (using regression equations) to better reflect the Federal Monitor values. This dataset is associated with the following publication: Barzyk, T., H. Huang, R. Williams, A. Kaufman, and J. Essoka. Advice and Frequently Asked Questions (FAQs) for Citizen-Science Environmental Health Assessments. International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel, SWITZERLAND, 15(5): 960, (2018).1Licence not specifiedover 2 years ago
- Output from three different scenarios generated using stormwater management planning support software to reduce occurrence of combined sewer overflow events through the use of green infrastructure. This dataset is associated with the following publication: Fu, X., H. Goddard, X. Wang, and M. Hopton. Development of a scenario-based stormwater management planning support system for reducing combined sewer overflows (CSOs). JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 236: 571-580, (2019).1Licence not specifiedover 2 years ago
- There are five different files for this dataset: 1. A dataset listing the reported functional uses of chemicals (FUse) 2. All 729 ToxPrint descriptors obtained from ChemoTyper for chemicals in FUse 3. All EPI Suite properties obtained for chemicals in FUse 4. The confusion matrix values, similarity thresholds, and bioactivity index for each model. 5. The functional use prediction, bioactivity index, and prediction classification (poor prediction, functional substitute, candidate alternative) for each Tox21 chemical. This dataset is associated with the following publication: Phillips, K., J. Wambaugh, C. Grulke, K. Dionisio, and K. Isaacs. High-throughput screening of chemicals as functional substitutes using structure-based classification models. GREEN CHEMISTRY. Royal Society of Chemistry, Cambridge, UK, 19: 1063-1074, (2017).1Licence not specifiedover 2 years ago
- This data is an Excel file that has links to downloaded photographs posted to social media sites. There is a sheet with metadata in the file. This dataset is associated with the following publication: Angradi, T., J. Launspach, and R. Debbout. Determining preferences for ecosystem benefits in Great Lakes Areas of Concern from photographs posted to social media. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 44(2): 340-351, (2018). NOTE: This dataset has been removed from public access due to revocation. Please refer inquiries regarding this dataset to the listed contact person.1Licence not specifiedover 2 years ago
- Hyperspectral optical data for satellite remote sensing. This dataset is associated with the following publication: Casey, K.A., C.S. Rousseaux, W.W. Gregg, E. Boss, A.P. Chase, S.E. Craig, C.B. Mouw, R.A. Reynolds, D. Stramski, S.G. Ackleson, A. Bricaud, B. Schaeffer, M.R. Lewis, and S. Maritorena. A global compilation of in situ aquatic high spectral resolution inherent and apparent optical property data for remote sensing applications. Earth System Science Data. Copernicus Publications, Katlenburg-Lindau, GERMANY, 12(2): 1123–1139, (2020).1Licence not specifiedover 2 years ago
- Summary data from a Medaka Extended One Generation Reproduction Test (MEOGRT) that assessed the effects of diazinon on growth and reproduction on Japanese medaka. The data includes fecundity, fertility, hatch, time-to-hatch, various measurements of growth, and counts of anal fin papillae for two generations of medaka. This dataset is associated with the following publication: Flynn, K., D. Lothenbach, F. Whiteman, D. Hammermeister, J. Swintek, M. Etterson, and R. Johnson. The effects of continuous diazinon exposure on growth and reproduction in Japanese medaka using a modified Medaka Extended One Generation Reproduction Test (MEOGRT). ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY. Elsevier Science Ltd, New York, NY, USA, 162: 438-445, (2018).1Licence not specifiedover 2 years ago
- The Air Emissions Trends site provides national trends of criteria pollutant and precursor emissions data based on the the National Emissions Inventory (NEI) from 1970 - the latest NEI year.1Licence not specifiedover 2 years ago
- Recovery data from microbiological analysis procedures developed to speed Bacillus anthracis environmental sample analysis following a biological incident. This dataset is associated with the following publication: Abdel-Hady, A., W. Calfee, D. Aslett, S. Lee, B. Wyrzykowska-Ceradini, R. Delafield, K. May, and A. Touati. Alternative Fast Analysis Method for Cellulose Sponge Surface Sampling Wipes with Low Concentrations of Bacillus Spores. JOURNAL OF MICROBIOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, ., (2018).1Licence not specifiedover 2 years ago
- 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).1Licence not specifiedover 2 years ago
- 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).1Licence not specifiedover 2 years ago
- The data set provides a set of txt files and cytoscape files that were used to construct the example AOP networks included in the paper. Additionally, a supplementary table file provides all the network statistics discussed in the manuscript (e.g., node degree calculations, betweenness centrality, eccentricity, etc.). This dataset is associated with the following publication: Villeneuve, D., M. Angrish, M. Fortin, I. Katsiadaki, M. Leonard, L. Margiotta-Casaluci, S. Munn, J. O'Brien, N. Pollesch, C. Smith, X. Zhang, and D. Knapen. Adverse outcome pathway networks II: Network analytics. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 37(6): 1734-1748, (2018).1Licence not specifiedover 2 years ago
- Annual air trends report in the form of an interactive web application. The report features a suite of visualization tools that allow the user to: -Learn about air pollution and how it can affect our health and environment. -Compare key air emissions to gross domestic product, vehicle miles traveled, population, and energy consumption back to 1970. -Take a closer look at how the number of days with unhealthy air has dropped since 2000 in 35 major US cities. -Explore how air quality and emissions have changed through time and space for each of the common air pollutants. -Check out air trends where you live. Users will also be able to share this content across social media, with one-click access to Facebook, Twitter, Pinterest, and other major social media sites.1Licence not specifiedover 2 years ago
- Dataset indicates the presence or absence of each ecosystems service at each coordinate Location. Also included are depth, fetch, and aquatic vegetation data. See supporting information for SAS code used to process data, sources of public spatial data, logic of GIS models used to generate presence absence assignments, GIS processing metadata, and KMZ maps (zipped file). This dataset is associated with the following publication: Angradi , T., J. Launspach, D. Bolgrien , B. Bellinger, M. Starry, J. Hoffman , A. Trebitz , M. Sierszen , and T. Hollenhorst. Mapping ecosystem service indicators in a Great Lakes estuarine Area of Concern. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 42(3): 717-727, (2016).1Licence not specifiedover 2 years ago
- Mercury dry deposition data quantified via static water surrogate surface (SWSS) and artificial turf surrogate surface (ATSS) collectors. This dataset is associated with the following publication: Hall, N., T. Dvonch, F. Marsik, J. Barres, and M. Landis. An Artificial Turf-Based Surrogate Surface Collector for the Direct Measurement of Atmospheric Mercury Dry Deposition. International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel, SWITZERLAND, 14(2): 173, (2017).1Licence not specifiedover 2 years ago
- This dataset contains information on the cluster characteristics, health effect estimates, and the meta-regression results. This dataset is associated with the following publication: Baxter, L., J. Crooks, and J. Sacks. Influence of exposure differences on city-to-city heterogeneity in PM2.5-mortality associations in US cities. ENVIRONMENTAL HEALTH. Academic Press Incorporated, Orlando, FL, USA, 16(1): 1-8, (2017).1Licence not specifiedover 2 years ago
- Ceilometers are devices for measuring and recording the height of clouds using laser based LiDAR technologies. They also can measure the height of planetary boundary layer (PBL), which is the lowest layer in the atmosphere directly influenced by the Earth’s surface. This dataset consists of retrievals from an automated planetary boundary layer (PBL) algorithm. This algorithm is proposed as a common cross-platform method for use with commercially available ceilometers. For additional assistance in access and interpreting the data please contact the listed authors. This dataset is associated with the following publication: Szykman, J., D. Williams, V. Caicedo, R. Delgado, T. Knepp , K. Cavender, and B. Lefer. An automated common algorithm for planetary boundary layer retrievals using aerosol lidars in support of the U.S. EPA Photochemical Monitoring Assessment Program. Journal of Atmospheric and Oceanic Technology. American Meteorological Society, Boston, MA, USA, 1-51, (2020).1Licence not specifiedover 2 years ago
- Compilation of literature-reported intake values of phthalates; specifically dibutyl phthalate (DBP), bis(2-ethylhexyl) phthalate, and diisononyl phthalate (DiNP). This dataset is associated with the following publication: Moreau, M., J. Leonard, K. Phillips, J. Campbell, S. Pendse, C. Nicolas, M. Phillips, M. Yoon, C. Tan, S. Smith, H. Pudukodu, K. Isaacs, and H. Clewell. Using exposure prediction tools to link exposure and dosimetry for risk-based decisions: A case study with phthalates. CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 184: 1194-1201, (2017).1Licence not specifiedover 2 years ago
- NWCA 2011 Soil Chemistry Data. This dataset is associated with the following publication: Nahlik, A., and M.S. Fennessy. Carbon storage in US wetlands. Nature Communications. Nature Publishing Group, London, UK, 7: 1-9, (2016).1Licence not specifiedover 2 years ago
- Excel files have percentage impervious cover estimates for the Chesapeake Bay region from 30 m 1 m data for six assessment units - 12-digit hydrologic units (watersheds), the riparian zones for the same watersheds, and four square lattices with cell sizes of 40, 2756, 5625, and 22500 ha. There is an excel file for each assessment unit. These data were used to produce the results in Table 2 of the association publication (https://doi.org/10.1016/j.isprsjprs.2018.09.010). This dataset is associated with the following publication: Wickham, J., N. Herold, S.V. Stehman, C.G. Homer, G. Xian, and P. Clagget. Accuracy assessment of NLCD 2011 impervious cover data for the Chesapeake Bay region, USA. ISPRS Journal of Photogrammetry and Remote Sensing. Elsevier BV, AMSTERDAM, NETHERLANDS, 146: 151-160, (2018).1Licence not specifiedover 2 years ago
- Dataset for Identification of Biomarkers of Exposure to FTOHs and PAPs in Humans Using a Targeted and Non-targeted Analysis Approach. This dataset is associated with the following publication: Dagnino, A., M. Strynar, R. McMahen, C. Lau, C. Ball, S. Garantziosis, T. Webster, M. McClean, and A. Lindstrom. Identification of Biomarkers of Exposure to FTOHs and PAPs in Humans Using a Targeted and Non-targeted Analysis Approach. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(0): 10216-10225, (2016).1Licence not specifiedover 2 years ago
- 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).1Licence not specifiedover 2 years ago
- Quantitative polymerase chain reaction (qPCR) has become a frequently used technique for quantifying enterococci in recreational surface waters, but there are several methodological options. Here we evaluated how three method permutations, type of mastermix, sample extract dilution and use of controls in results calculation, affect method reliability among multiple laboratories with respect to sample interference. Multiple samples from each of 22 sites representing an array of habitat types were analyzed using EPA Method 1611 and 1609 reagents with full strength and five-fold diluted extracts. The presence of interference was assessed three ways: using sample processing and PCR amplifications controls; consistency of results across extract dilutions; and relative recovery of target genes from spiked enterococci in water sample compared to control matrices with acceptable recovery defined as 50 to 200%. Method 1609, which is based on an environmental mastermix, was found to be superior to Method 1611, which is based on a universal mastermix. Method 1611 had over a 40% control assay failure rate with undiluted extracts and a 6% failure rate with diluted extracts. Method 1609 failed in only 11% and 3% of undiluted and diluted extracts analyses. Use of sample processing control assay results in the delta-delta Ct method for calculating relative target gene recoveries increased the number of acceptable recovery results. Delta-delta tended to bias recoveries from apparent partially inhibitory samples on the high side which could help in avoiding potential underestimates of enterococci - an important consideration in a public health context. Control assay and delta-delta recovery results were largely consistent across the range of habitats sampled, and among laboratories. The methodological option that best balanced acceptable estimated target gene recoveries with method sensitivity and avoidance of underestimated enterococci densities was Method 1609 without extract dilution and using the delta-delta calculation method. The applicability of this method can be extended by the analysis of diluted extracts to sites where interference is indicated but, particularly in these instances, should be confirmed by augmenting the control assays with analyses for target gene recoveries from spiked target organisms. This dataset is associated with the following publication: Haugland , R., S. Siefring , M. Varma , K. Oshima , M. Sivaganesan , Y. Cao, M. Raith, J. Griffith, S. Weisberg, R. Noble, A.D. Blackwood, J. Kinzelman, T. Anan'eva, R. Bushon, E. Stelzer, V. Harwood, K. Gordon, and C. Sinigalliano. Multi-laboratory survey of qPCR enterococci analysis method performance in U.S. coastal and inland surface waters. JOURNAL OF MICROBIOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 123(1): 114-125, (2016).1Licence not specifiedover 2 years ago
- File containing the locations where the gridded datasets used in the analysis presented in this manuscript are archived. The actual gridded datasets are too large to upload to sciencehub (several terabytes). This dataset is associated with the following publication: Porter, P.S., S.T. Rao, C. Hogrefe, and R. Mathur. A Reduced Form Model for Ozone Based on Two Decades of CMAQ Simulations for the Continental United States. Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir, TURKEY, 8(2): 275-284, (2017).1Licence not specifiedover 2 years ago
- Prioritization of chemicals was performed on two Areas of Concerns in the Great Lakes An integrated risk surveillance and monitoring approach was applied Bio-effect prediction methodologies were used to identify additional biological pathways. Environmental assessment of complex mixtures typically requires integration of chemical and biological measurements. This study demonstrates the use of a combination of instrumental chemical analyses, effects-based monitoring, and bio-effects prediction approaches to help identify potential hazards and priority contaminants in two Great Lakes Areas of Concern (AOCs), the Lower Green Bay/Fox River located near Green Bay, WI, USA and the Milwaukee Estuary, located near Milwaukee, WI, USA. Fathead minnows were caged at four sites within each AOC (eight sites total). Following 4 d of in situ exposure, tissues and biofluids were sampled and used for targeted biological effects analyses. Additionally, 4 d composite water samples were collected concurrently at each caged fish site and analyzed for 132 analytes as well as evaluated for total estrogenic and androgenic activity using cell-based bioassays. Of the analytes examined, 75 were detected in composite samples from at least one site. Based on multiple analyses, one site in the East River and another site near a paper mill discharge in the Lower Green Bay/Fox River AOC, were prioritized due to their estrogenic and androgenic activity, respectively. The water samples from other sites generally did not exhibit significant estrogenic or androgenic activity, nor was there evidence for endocrine disruption in the fish exposed at these sites as indicated by the lack of alterations in ex vivo steroid production, circulating steroid concentrations, or vitellogenin mRNA expression in males. Induction of hepatic cyp1a mRNA expression was detected at several sites, suggesting the presence of chemicals that activate the Ah receptor. To expand the scope beyond targeted investigation of endpoints selected a priori, several bio-effects prediction approaches were employed to identify other potentially disturbed biological pathways and related chemical constituents that may warrant future monitoring at these sites. For example, several chemicals such as diethylphthalate and naphthalene , and genes and related pathways, such as cholinergic receptor muscarinic 3 (CHRM3), estrogen receptor alpha1 (esr1), chemokine ligand 10 protein (CXCL10), tumor protein p53 (p53), and monoamine oxidase B (Maob), were identified as candidates for future assessments at these AOCs. Overall, this study demonstrates that a better prioritization of contaminants and associated hazards can be achieved through integrated evaluation of multiple lines of evidence. Such prioritization can guide more comprehensive follow-up risk assessment efforts. This dataset is associated with the following publication: Li, S., D. Villeneuve, J. Berninger, B. Blackwell, J. Cavallin, M. Hughes, K. Jensen, Z. Jorgenson, M. Kahl, A. Schroeder, K. Stevens, L. Thomas, M. Weberg, and G. Ankley. An integrated approach for identifying priority contaminant in the Great Lakes Basin -Investigations in the Lower Green Bay/Fox River and Milwaukee Estuary areas of concern. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 579: 825-837, (2017).1Licence not specifiedover 2 years ago
- R code and dataset to produce spatial models. This dataset is associated with the following publication: Meyer, M., S. Campbell, and J. Johnston. Spatiotemporal modeling of ecological and sociological predictors of West Nile virus in Suffolk County, NY, mosquitoes. Ecosphere. ESA Journals, 8(6): e01854, (2017).1Licence not specifiedover 2 years ago
- Measured and calculated volumes of wetland depressions. This dataset is associated with the following publication: Wu, Q., and C. Lane. Delineation and quantification of wetland depressions in the Prairie Pothole Region of North Dakota. WETLANDS. The Society of Wetland Scientists, McLean, VA, USA, 36(2): 215-227, (2016).1Licence not specifiedover 2 years ago
- The dataset contains a list of cardiac and vascular biomarkers that were obtained on each day a participant visited the EPA Human Studies Facility. It also contains ozone concentrations on those days, which are publicly available on the EPA AirNow website. This dataset is not publicly accessible because: The dataset pertains to human research. It can be accessed through the following means: Requests to access data should be sent to Robert Devlin at devlin.robert@epa.gov. Format: The metadata are in the form of spreadsheets with health endpoints listed in columns and each human participant listed as a row. Similar spreadsheets contain exposure information in columns and participants in rows. This dataset is associated with the following publication: Mirowsky, J., M. Carraway, R. Dhingra, H. Tong, L. Neas, D. Diaz-Sanchez, W. Cascio, M. Case, J. Crooks, E. Hauser, E. Dowdy, W. Krause, and R. Devlin. Ozone exposure is associated with acute changes in inflammation, fibrinolysis, and endothelial cell function in coronary artery disease patients. ENVIRONMENTAL HEALTH. Academic Press Incorporated, Orlando, FL, USA, 16: 126, (2017).1Licence not specifiedover 2 years ago
- Under the ExpoCast program, United States Environmental Protection Agency (EPA) researchers have developed a high-throughput (HT) framework for estimating aggregate exposures to chemicals from multiple pathways to support rapid prioritization of chemicals. Here, we present methods to estimate HT exposures to chemicals migrating into food from food contact substances (FCS). These methods consisted of combining an empirical model of chemical migration with estimates of daily population food intakes derived from food diaries from the National Health and Nutrition Examination Survey (NHANES). A linear regression model for migration at equilibrium was developed by fitting available migration measurements as a function of temperature, food type (i.e., fatty, aqueous, acidic, alcoholic), initial chemical concentration in the FCS (C0) and chemical properties. The most predictive variables in the resulting model were C0, molecular weight, log Kow, and food type (R2=0.71, p<0.0001). Migration-based concentrations for 1009 chemicals identified via publicly-available data sources as being present in polymer FCSs were predicted for 12 food groups (combinations of 3 storage temperatures and food type). The model was parameterized with screening-level estimates of C0 based on the functional role of chemical in FCS. By combining these concentrations with daily intakes for food groups derived from NHANES, population ingestion exposures of chemical in mg/kg-bodyweight/day (mg/kg-BW/day) were estimated. Calibrated aggregate exposures were estimated for 1931 chemicals by fitting HT FCS and consumer product exposures to exposures inferred from NHANES biomonitoring (R2=0.61, p<0.001); both FCS and consumer product pathway exposures were significantly predictive of inferred exposures. Including the FCS pathway significantly impacted the ratio of predicted exposures to those estimated to produce steady-state blood concentrations equal to in-vitro bioactive concentrations. While these HT methods have large uncertainties (and thus may not be appropriate for assessments of single chemicals), they can provide critical refinement to aggregate exposure predictions used in risk-based chemical priority–setting. This dataset is associated with the following publication: Biryol, D., C. Nicolas, J. Wambaugh, K. Phillips, and K. Isaacs. High-throughput dietary exposure predictions for chemical migrants from food contact substances for use in chemical prioritization. ENVIRONMENT INTERNATIONAL. Elsevier Science Ltd, New York, NY, USA, 108: 185-194, (2017).1Licence not specifiedover 2 years ago
- Coliphage and adenovirus concentrations per liter. This dataset is associated with the following publication: Gassie, L., J. Englehardt, J. Wang, N. Brinkman, J. Garland, P. Gardinali, and T. Guo. Mineralizing urban net-zero water treatment: Phase II field results and design recommendations. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 105: 496-506, (2016).1Licence not specifiedover 2 years ago
- Phytoplankton and cyanobacteria. This dataset is associated with the following publication: Chen, K., J. Lu, and J. Allen. 12 Community structures of phytoplankton with emphasis of toxic cyanobacteria in an Ohio inland lake during bloom season. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. Ecomed Verlagsgesellschaft AG, Landsberg, GERMANY, 9(11): 1-29, (2017).1Licence not specifiedover 2 years ago
- Tables, Figures, and Supplemental Materials. This dataset is associated with the following publication: Hill III, T., M. Nelms, S. Edwards, M. Martin, R. Judson, C. Corton, and C. Wood. Negative Predictors of Carcinogenicity for Environmental Chemicals. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 155(1): 157-169, (2017).1Licence not specifiedover 2 years ago
- Under the Federal Technology Transfer Act (FTTA), Federal Agencies can patent inventions developed during the course of research. These technologies can then be licensed to businesses or individuals for further development and sale in the marketplace. These technologies relate to water monitoring and treatment technologies.1Licence not specifiedover 2 years ago
- List of keywords used to classify FEGS, Beneficiaries, and Environment in document analysis of estuary management programs, as well as counts of the number of plans which were flagged as mentioning each subclass of FEGS/Beneficiariies/Environment. This dataset is associated with the following publication: Yee, S., A. Sullivan, K. Williams, and K. Winters. Who Benefits from National Estuaries? Applying the FEGS Classification System to Identify Ecosystem Services and their Beneficiaries. International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel, SWITZERLAND, 16(13): 2351, (2019).1Licence not specifiedover 2 years ago
- This dataset comprises one SigmaPlot 13 file containing measured survival data and survival data predicted from the model coefficients selected by the LASSO procedure. This dataset is associated with the following publication: Ross, J., B. George, M. Bruno, and Y. Ge. Chemical-agnostic hazard prediction: statistical inference of in vitro toxicity pathways from proteomics responses to chemical mixtures. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 2: 39-44, (2017).1Licence not specifiedover 2 years ago
- The current study not only characterizes emissions from three coals (bituminous, sub-bituminous, and lignite), but also investigates the use of instrumentation for improved measurement and monitoring techniques that provide real-time, continuous emissions data. Testing was completed using the U.S. EPA’s Multi-Pollutant Control Research Facility, a pilot-scale coal-fired combustor using industry-standard emission control technologies, in Research Triangle Park, North Carolina. Emissions were calculated based on measurements from the flue gas (pre- and post-electrostatic precipitator), to characterize gaseous species (CO, CO2, O2, NOX, SO2, other acid gases, and several organic HAPs) as well as fine and ultrafine particulate (mass, size distribution, number count, elemental carbon, organic carbon, and black carbon). Comparisons of traditional EPA methods to those made via Fourier Transfer Infrared (FTIR) Spectroscopy for CO, NOX, and SO2 are also reported. This dataset is associated with the following publication: Yelverton, T., A. Brashear, D. Nash, E. Brown, C. Singer, P. Kariher, and J. Ryan. Comparison of gaseous and particulate emissions from a pilot-scale combustor using three varieties of coal. FUEL. Elsevier Science BV, Amsterdam, NETHERLANDS, 215: 572-579, (2018).1Licence not specifiedover 2 years ago
- Dataset 1: XRF image of U and Fe distribution Dataset 2: Fe linear combination fitting data. This dataset is associated with the following publication: Koster van Groos, P., D. Kaplan, H. Chang, J. Seaman, D. Li, A. Peacock, K. Scheckel , and P. Jaffe. Uranium fate in wetland mesocosms: Effects of plants at two iron loadings with different pH values. Jacob de Boer, and Shane Snyder CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 163: 116-124, (2016).1Licence not specifiedover 2 years ago
- This dataset was used to create graphics associated with manuscript: Garcia et al., Examining the impacts of increased corn production on groundwater quality using a coupled modeling system, 2017, Science of the Total Environment. This dataset is associated with the following publication: Garcia, V., E. Cooter, J. Crooks, B. Hinckley, M. Murphy, and X. Xing. Examining the impacts of increased corn production on groundwater quality using a coupled modeling system. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 586: 16-24, (2017).1Licence not specifiedover 2 years ago
- These data files associated with the Tables and Figures presented in the following manuscript: Zhang, Y., Mathur, R., Bash, J. O., Hogrefe, C., Xing, J., and Roselle, S. J.: Long-term trends in total inorganic nitrogen and sulfur deposition in the US from 1990 to 2010, Atmos. Chem. Phys., 18, 9091-9106, https://doi.org/10.5194/acp-18-9091-2018, 2018. This dataset is associated with the following publication: Zhang, Y., R. Mathur, J. Bash, C. Hogrefe, J. Xing, and S. Roselle. Long-term trends in total inorganic nitrogen and sulfur deposition in the US from 1990 to 2010. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 18: 9091-9106, (2018).1Licence not specifiedover 2 years ago
- This dataset contains WRF model output. There are three months of data: July 2012, July 2013, and January 2013. For each month, several simulations were made: A control and two lightning assimilation runs using different suppression techniques. For July 2012, and additional simulation was made with a third suppression technique. Please refer to the manuscript for a full description of each simulation. This dataset is not publicly accessible because: The files are too large. It can be accessed through the following means: The data can be accessed through NCC's tape archival storage system (ASM) or by contacting the author. Format: WRF model output for July 2012, July 2013, and January 2013. This dataset is associated with the following publication: Heath, N., J. Pleim, R. Gilliam, and D. Kang. A simple lightning assimilation technique for improving retrospective WRF simulations.. Journal of Advances in Modeling Earth Systems. John Wiley & Sons, Inc., Hoboken, NJ, USA, 8(4): 1806-1824, (2016).1Licence not specifiedover 2 years ago
- The document in this data set lists the links to both the released version of the MPAS code, the modified MPAS code and the observational datasets used to evaluate the model updates presented in the publication. High resolution global model output is large and exceeded the limitations of this archive by several orders of magnitude. Thus the document also contains instructions on where the data resides, the data format, and how to obtain these data. This dataset is associated with the following publication: Campbell, P., J. Bash, J. Herwehe, and R. Gilliam. Impacts of tiled land cover characterization in the Model for Predictions Across Scales-Atmosphere (MPAS-A). JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 125(15): e2019JD032093, (2020).1Licence not specifiedover 2 years ago
- This database tracks the status of all Quality Assurance documents as required by 40 CFR Parts 30 & 31.1Licence not specifiedover 2 years ago
- Data for Particle and Volatile Organic Compound Emissions from a 3D Printer Filament Extruder. This dataset is associated with the following publication: Byrley, P., A. Wallace, W. Boyes, and K. Rogers. Particle and volatile organic compound emissions from a 3D printer filament extruder. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 736: 139604, (2020).1Licence not specifiedover 2 years ago
- Importance of random forest predictors for all classification models of chemical function. This dataset is associated with the following publication: Isaacs , K., M. Goldsmith, P. Egeghy , K. Phillips, R. Brooks, T. Hong, and J. Wambaugh. Characterization and prediction of chemical functions and weight fractions in consumer products. Toxicology Reports. Elsevier B.V., Amsterdam, NETHERLANDS, 3: 723-732, (2016).1Licence not specifiedover 2 years ago
- Water stable isotope data (hydrogen and oxygen isotopes of H2O) for 5 river basins in Washington state and Alaska. The samples were collected in 2017 during summer baseflow season. Collection sites were distributed across each basin to represent the range of possible isotope values within the basin, but sample sites were easily accessible. This dataset is associated with the following publication: McGill, L., E.A. Steel, J.R. Brooks, R.T. Edwards, and A. Fullerton. Elevation and spatial structure explain most surface-water isotopic variation across five Pacific Coast basins. JOURNAL OF HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 583: 124610, (2020).1Licence not specifiedover 2 years ago
- Fecal contamination of recreational waters with cattle manure can pose a risk to public health due to the potential presence of various zoonotic pathogens. Fecal indicator bacteria (FIB) have a long history of use in the assessment. However, FIB quantification provides no information about pollution sources. Microbial source tracking (MST) genetic markers have been developed in response to a need to identify pollution sources, yet factors that influence host-identifier target decay once discharged into the environment are often poorly understood, especially for agriculture fecal waste sources. Here, we investigate the influence of water type (freshwater versus marine) and select environmental parameters (indigenous microbiota, ambient sunlight) on the decay of FIB and MST genetic markers originating from cattle manure. Experiments were conducted in situ using a submersible aquatic mesocosm containing dialysis bags filled with a mixture of cattle manure and ambient water. Culturable FIB (E. coli and enterococci) were enumerated by membrane filtration and the concentration of general fecal indicator bacteria (GenBac3, Entero1a, and EC23S857) and MST (Rum2Bac, CowM2, and CowM3) genetic markers were estimated by qPCR. Water type was the most significant factor influencing the decay of cattle manure indicator bacteria (three-way ANOVA, p: 0.006 to < 0.001), although the magnitude of the effect differed among microbial targets and over time. The presence of indigenous microbiota and exposure to sunlight were both significantly correlated (three-way ANOVA, p: 0.044 to < 0.001) with decay of enterococci and CowM2, while E. coli, EC23S857, Rum2Bac, and CowM3 (three-way ANOVA, p: 0.044 <0.001) were significantly impacted by either sunlight or indigenous microbiota. Findings indicate the extended persistence (>144 hours) of both cultivated FIB and genetic markers in marine and freshwater water types. Findings suggest that multiple environmental stressors are important determinants of FIB and MST marker persistence, but their magnitude can vary across different indicators. Selective exclusion of natural aquatic microbiota and/or sunlight typically resulted in extended survival, but the effect was minor and limited to select microbial targets. This dataset is associated with the following publication: Korajkic, A., B. McMinn, N. Ashbolt, M. Sivaganesan, V. Harwood, and O. Shanks. Extended persistence of general and cattle-associated fecal indicators in marine and freshwater environment. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 650(1): 1292-1302, (2018).1Licence not specifiedover 2 years ago
- The data set contains 3 files from three sources (1) state (Washington and Oregon), (2) Combined EPA survey date from Griffith, (3) data from USGS. This dataset is associated with the following publication: Cormier, S., L. Zheng, G. Hayslip, and C. Flaherty. A field-based characterization of conductivity in areas of minimal alteration: a case example in the Cascades of northwestern United States. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 633: 1657-1666, (2018).1Licence not specifiedover 2 years ago
- Phoenix Traffic and Mobile Data. This dataset is associated with the following publication: Baldauf , R., V. Isakov , P. Deshmukh, and A. Venkatram. Influence of Solid Noise Barriers on Near-Road and On-Road Air Quality. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 129: 265-276, (2016).1Licence not specifiedover 2 years ago
- GIS Shapefile with distance to shore and window width calculated for each US estuary and subestuary. This dataset is associated with the following publication: Schaeffer, B., and M. Myer. Resolvable estuaries for satellite derived water quality within the continental United States. Remote Sensing Letters. Taylor & Francis Group, London, UK, 11(6): 535-544, (2020).1Licence not specifiedover 2 years ago
- data for figures 1-8 in journal article "Assessment of port-related air quality impacts: geographic analysis of population", International Journal of Environment and Pollution, 58, 231-250, (2015). This dataset is associated with the following publication: Arunachalam , S., H. Brantley , T. Barzyk , G. Hagler , V. Isakov , S. Kimbrough , B. Naess, N. Rice, M. Snyder, K. Talgo, and A. Venkatram. Assessment of port-related air quality impacts: geographic analysis of population. INTERNATIONAL JOURNAL OF ENVIRONMENT AND POLLUTION. Inderscience Enterprises Limited, Geneva, SWITZERLAND, 58(4): 231 - 250, (2015).1Licence not specifiedover 2 years ago
- Includes 1) list of genes in the STAT5b biomarker and 2) list of accession numbers for microarray datasets used in study. This dataset is associated with the following publication: Oshida, K., N. Vasani, D. Waxman, and C. Corton. Disruption of STAT5b-Regulated Sexual Dimorphism of the Liver Transcriptome by Diverse Factors Is a Common Event. PLoS ONE. Public Library of Science, San Francisco, CA, USA, 11(3): NA, (2016).1Licence not specifiedover 2 years ago
- This dataset includes concentrations of trace inorganic elements, ions, and organic/element carbon of PM collected from two sampling sites (GT Craig and Chippewa Lake) in Cleveland as well as PM source profiles/contributions to each sampling sites. This dataset is associated with the following publication: Kim, Y., T. Krantz, J. Mcgee, K. Kovalcik, R. Duvall, R. Willis, A. Kamal, M. Landis, G. Norris, and I. Gilmour. Chemical Composition and Source Apportionment of Size Fractionated Particulate Matter in Cleveland, Ohio, USA. ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 218: 1180-1190, (2016).1Licence not specifiedover 2 years ago
- The dataset consists of quantitative microbial risk assessment, life cycle assessment and life cycle cost analysis. This dataset is associated with the following publication: Arden, S., B. Morelli, M. Schoen, S. Cashman, M. Jahne, C. Ma, and J. Garland. Human health, economic and environmental assessment of onsite non-potable water reuse systems for a large, mixed-use urban building. Sustainability. MDPI AG, Basel, SWITZERLAND, 12(13): 5459 - 5475, (2020).1Licence not specifiedover 2 years ago
- While permeable pavement is increasingly being used to control stormwater runoff, field-based, side-by-side investigations on the effects different pavement types have on nutrient concentrations present in stormwater runoff are limited. In 2009, the U.S. EPA constructed a 0.4-ha parking lot in Edison, New Jersey, that incorporated permeable interlocking concrete pavement (PICP), pervious concrete (PC), and porous asphalt (PA). Each permeable pavement type has four, 54.9-m2, lined sections that direct all infiltrate into 5.7-m3 tanks enabling complete volume collection and sampling. This paper highlights the results from a 12-month period when samples were collected from 13 rainfall/runoff events and analyzed for nitrogen species, orthophosphate, and organic carbon. Differences in infiltrate concentrations among the three permeable pavement types were assessed and compared with concentrations in rainwater samples and impervious asphalt runoff samples, which were collected as controls. Contrary to expectations based on the literature, the PA infiltrate had significantly larger total nitrogen (TN) concentrations than runoff and infiltrate from the other two permeable pavement types, indicating that nitrogen leached from materials in the PA strata. There was no significant difference in TN concentration between runoff and infiltrate from either PICP or PC, but TN in runoff was significantly larger than in the rainwater, suggesting meaningful inter-event dry deposition. Similar to other permeable pavement studies, nitrate was the dominant nitrogen species in the infiltrate. The PA infiltrate had significantly larger nitrite and ammonia concentrations than PICP and PC, and this was presumably linked to unexpectedly high pH in the PA infiltrate that greatly exceeded the optimal pH range for nitrifying bacteria. Contrary to the nitrogen results, the PA infiltrate had significantly smaller orthophosphate concentrations than in rainwater, runoff, and infiltrate from PICP and PC, and this was attributed to the high pH in PA infiltrate possibly causing rapid precipitation of orthophosphate with metal cations. Orthophosphate was exported from the PICP and PC, as evidenced by the significantly larger infiltrate concentrations compared with influent sources of rainwater and runoff. This dataset is associated with the following publication: Brown , R., and M. Borst. Nutrient Infiltrate Concentrations from Three Permeable Pavement Types. JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 164: 74-85, (2015).1Licence not specifiedover 2 years ago
- This dataset include US Forest Service (contact Dr. Stephen Sebestyen at USFS) long-term precipitation, atmospheric deposition, and hydrologic data for the years 2010-2013. The dataset also includes unique (never before collected) data on ammonification, denitrification, microbial enzyme activity, and nitrification. These data will be useful for long-term trend analyses and for further investigations on carbon and nitrogen cycling in peatlands. This dataset is associated with the following publication: Hill , B., T. Jicha , L. Lehto, C. Elonen , S. Sebestyen , and R. Kolka. Comparisons of soil nitrogen mass balances for an ombrotrophic bog and a minerotrophic fen in northern Minnesota. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 550: 880-892, (2016).1Licence not specifiedover 2 years ago
- Disinfection of B. globigii spores (a non-pathogenic surrogate for B. anthracis) in clean and dirty water using the ATS-Waterline system, which uses ultraviolet light and a charged membrane filter. This dataset is associated with the following publication: Silva, G., J. Szabo, V. Namboodiri, R. Krishnan, J. Rodriguez, and A. Zeigler. Evaluation of and environmentally sustainable UV-assisted water treatment system for removal of Bacillus spores in water. WATER SCIENCE AND TECHNOLOGY. IWA Publishing, London, UK, 18(3): 968-975, (2018).1Licence not specifiedover 2 years ago
- se of archival resources has been limited to date by inconsistent methods for genomic profiling of degraded RNA from formalin-fixed paraffin-embedded (FFPE) samples. RNA-seq offers a novel way to address this problem. In this study we evaluated transcriptomic dose responses using RNA-seq in paired FFPE and frozen (FROZ) samples from two archival studies in mice, one recent (<2 years old) and the other older (>20 years old). Experimental treatments included di(2-ethylhexyl)phthalate (DEHP) and dichloroacetic acid (DCA) for the <2 and >20 year-old studies, respectively. Total RNA was ribodepleted and sequenced using the Illumina HiSeq platform. In the recent study, FFPE samples showed high concordance in total reads (98% vs FROZ), fold-change values of differentially expressed genes (DEGs) (R2 = 0.99), highly enriched target pathways (90% overlap with FROZ), and benchmark dose estimates for preselected target genes (-2% overall vs FROZ). In contrast, RNA-seq data from older FFPE samples had lower total reads (70% vs FROZ) and poor concordance in global DEGs and pathways. Despite a 99% loss of counts, dose responses were still evident for target genes in FFPE samples and positively correlated with paired FROZ samples. These findings highlight potential variability in the quality of RNA-seq data from FFPE samples. More recent FFPE samples were highly similar to FROZ samples in sequencing quality metrics, DEG profiles, and dose-response parameters, while further methods development is needed for older or lower-quality FFPE samples. This work should help broaden the use of archival resources in both chemical safety and translational science. This dataset is associated with the following publication: Hester, S., V. Bhat, B. Chorley, G. Carswell, W. Jones, L. Wehmas, and C. Wood. Dose-Response Analysis of RNA-Seq Profiles in Archival Formalin-Fixed Paraffin-Embedded (FFPE) Samples.. TOXICOLOGICAL SCIENCES. Society of Toxicology, 154(2): 202-213, (2016).1Licence not specifiedover 2 years ago
- Supporting Information. This dataset is associated with the following publication: Washington , J., T. Jenkins, and E. Weber. Identification of Unsaturated and 2H Polyfluorocarboxylate Homologous Series and Their Detection in Environmental Samples and as Polymer Degradation Products. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 49(22): 13256-13263, (2015).1Licence not specifiedover 2 years ago
- The data sets includes the data used to generate the figures presented in the manuscript. Each worksheet in the attached file provides data for a specific figure (as labeled). This dataset is associated with the following publication: Zhou, L., K. Baker, S. Napelenok, G. Pouliot, R. Elleman, S. O'Neill, S. Urbanski, and D. Wong. Modeling crop residue burning experiments to evaluate smoke emissions and plume transport. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 627: 523-533, (2018).1Licence not specifiedover 2 years ago
- The Children's Environmental Health Initiative (CEHI) at Rice University provided access to blood lead data from the North Carolina Childhood Lead Poisoning Prevention Program surveillance registry; data on end-of-grade standardized achievement tests in reading and mathematics from the North Carolina Education Research Data Center (NCERDC); and birth certificate data from the North Carolina Department of Health and Human Services. Test score, blood lead, and birth certificate data were linked using a common child identifier created by CEHI for matching purposes. 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 was made available by the Children's Environmental Health Initiative (CEHI) at Rice University. Contact Claire Osgood (ceo1@rice.edu), CEHI's Data Manager, to learn how the data can be accessed. Format: The Children's Environmental Health Initiative (CEHI) at Rice University provided access to blood lead data from the North Carolina Childhood Lead Poisoning Prevention Program surveillance registry; data on end-of-grade standardized achievement tests in reading and mathematics from the North Carolina Education Research Data Center (NCERDC); and birth certificate data from the North Carolina Department of Health and Human Services. Test score, blood lead, and birth certificate data were linked using a common child identifier created by CEHI for matching purposes. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.1Licence not specifiedover 2 years ago
- The data sets include the Village Green Project station time series, including air pollutant concentrations, meteorology data, and diagnostic data from instrumentation. Additionally, air pollutant concentration data from the Hong Kong Environmental Protection Department's Eastern station are included. This dataset is associated with the following publication: Wei, P., Z. Ning, D. Westerdahl, Y.F. Lam, P. Louie, R. Sharpe, R. Williams, and G. Hagler. Solar-powered air quality monitor applied under subtropical conditions in Hong Kong: Performance evaluation and application for pollution source tracking. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 214: 116825, (2019).1Licence not specifiedover 2 years ago
- Concentrations of 11 species are reported from continuous measurements taken during a wintertime field study in Utah. Time series data for measured species generally displayed strong diurnal patterns. Six species show a diurnal pattern of daytime maximums (NO, NOy, O3, H2O2, CH2O2, and Cl2), while five species show a diurnal pattern of night time maximums (NO2, HONO, ClNO2, HNO3, and N2O5). Vector autoregression analyses were completed to better understand important species influencing the formation of O3 and NOx. For the species studied, r2 values of predicted versus measured concentrations ranged from 0.82–0.99. Fitting parameters for the autoregressive matrix, Pi, indicated the importance of species precursors. In addition, values of fitting parameters for Pi were relatively insensitive to data size, with variations generally <10%. Variable causation was quantified using the Granger causation method. Assuming O3 and NOx behave as chemical products, reactants (in order of importance) are as follows: H2O2, N2O5, HONO, and ClNO2. This dataset is associated with the following publication: Olson, D., T. Riedel, R. Long, J. Offenberg, M. Lewandowski, and T. Kleindienst. Time series analysis of wintertime O3 and NOx formation using vector autoregressions. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 218: 116988, (2019).1Licence not specifiedover 2 years ago
- Under the Federal Technology Transfer Act (FTTA), Federal Agencies can patent inventions developed during the course of research. These technologies can then be licensed to businesses or individuals for further development and sale in the marketplace. These technologies relate to methods of managing and remediating waste.1Licence not specifiedover 2 years ago
- Concentrations of pyrethroids and pyrethroid degradates in surface wipe samples collected from occupied residences. 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: Restricted access may be granted to authorized persons by contacting the party listed. James Starr Research Physical Scientist USEPA/ORD/NERL/EMMD/PHCB MD D205-05 109 TW Alexander Dr. RTP, NC 27711. Format: These data are from a human study. The study design was approved by the US EPA’s Human Subjects Research Review Official and the University of North Carolina’s Institutional Review Board (study number 09-0741). This dataset is associated with the following publication: Starr, J., S. Graham, W. Li, A. Gemma, and M. Morgan. Variability of pyrethroid concentrations on hard surface kitchen flooring in occupied housing. INDOOR AIR. Blackwell Publishing, Malden, MA, USA, 28(5): 665-675, (2018).1Licence not specifiedover 2 years ago
- Under the Federal Technology Transfer Act (FTTA), Federal Agencies can patent inventions developed during the course of research. These technologies can then be licensed to businesses or individuals for further development and sale in the marketplace. These technologies primarily relate to efficient vehicle systems and hybrid or diesel engines.1Licence not specifiedover 2 years ago
- This study evaluated reuse of lime softening sludge, generated from drinking water treatment utilities, as an environmental sorbent for capturing SO2 and heavy metals in wet scrubbers of coal-fired power plants. Specifically, Part III evaluated viscosity and metal corrosion as practical issues in the transition from limestone to lime sludge at power plants. Results of Marsh funnel viscosity experiments conducted at different solids contents and temperatures indicated the limestone and lime sludge slurries and their gypsum counterparts had similar flow characteristics. Carbon-steel, stainless-steel, and Hastelloy coupons were tested for corrosion by lime sludge and limestone slurries. Both stainless steel and Hastelloy were resistive to corrosion in slurries made from lime sludge or limestone samples or their gypsum counterparts. A considerable but similar amount of corrosion was observed for carbon-steel coupons exposed to lime sludge and limestone slurries. Adding 5000 ppm of Cl to slurries considerably increased the corrosion rate of carbon steel. This dataset is associated with the following publication: Dastgheib, S., J. Mock, H. Salih, and C. Patterson. Utilization of Water Utility Lime Sludge for Flue Gas Desulfurization in Coal-Fired Power Plants: Part III. Testing at a Higher Scale and Assessment of Selected Potential Operational Issues. ENERGY AND FUELS. American Chemical Society, Washington, DC, USA, 33(11): 11536-11543, (2019).1Licence not specifiedover 2 years ago
- Under the Federal Technology Transfer Act (FTTA), Federal Agencies can patent inventions developed during the course of research. These technologies can then be licensed to businesses or individuals for further development and sale in the marketplace. These technologies primarily relate to contaminant removal in the environment.1Licence not specifiedover 2 years ago
- These raster files are associated with the SLAMM projections presented in the EPA report, "Application of the Sea-Level Affecting Marshes Model (SLAMM) to the Lower Delaware Bay, with a Focus on Salt Marsh Habitat" (https://cfpub.epa.gov/si/si_public_record_report.cfm?Lab=NCEA&dirEntryId=344746). A subset of these projections are in turn presented in the journal article associated with the ScienceHub entry, "Framework for assessing salt marsh vulnerability to sea level rise to support management decision making: Delaware Bay case study ".1Licence not specifiedover 2 years ago
- Under the Federal Technology Transfer Act (FTTA), Federal Agencies can patent inventions developed during the course of research. These technologies can then be licensed to businesses or individuals for further development and sale in the marketplace.1Licence not specifiedover 2 years ago
- Under the Federal Technology Transfer Act (FTTA), Federal Agencies can patent inventions developed during the course of research. These technologies can then be licensed to businesses or individuals for further development and sale in the marketplace. These technologies relate to treatment of contaminated sites.1Licence not specifiedover 2 years ago
- The supplementary data is used to support the interpretation of electrochemical reaction at the interface of working electrode, and reaction features of the immobilized enzyme. The formula for modeling the kinetics of immobilized enzyme was also given in the supplementary material. This dataset is associated with the following publication: Li, T., E. Sahle-Demessie, E. Varughese, and J. Berberich. A disposable acetylcholine esterase sensor for As(iii) determination in groundwater matrix based on 4-acetoxyphenol hydrolysis. Analytical Methods. RSC Publishing, Cambridge, UK, 11(40): 5203-5213, (2019).1Licence not specifiedover 2 years ago
- The data is in the form of genomic sequences deposited in a public database, growth curves, and bioinformatic analysis of sequences. This dataset is associated with the following publication: Henson, M., J. Santodomingo , P. Kourtev, R. Jensen, and D. Learman. Metabolic and genomic analysis elucidates strain-level variation in Microbacterium spp. isolated from chromate contaminated sediment. PeerJ. PeerJ Inc., Corte Madera, CA, USA, e1395, (2015).1Licence not specifiedover 2 years ago
- We conducted power calculations to compare different approaches (nonparametric, arcsine square root-transformed, logit-transformed, untransformed) for analyzing litter-based proportional data. A reproductive toxicity study with a control and one treated group provided data for two endpoints: prenatal loss, and fertility by in utero insemination (IUI). Type I error and power were estimated by 10,000 simulations based on two-sample one-tailed t-tests with varying numbers of litters per group. To further compare the different approaches, we conducted additional analyses with the mean proportions shifted toward zero to produce illustrative scenarios. Analyses based on logit-transformed proportions had greater power than those based on untransformed or arcsine square root-transformed proportions, or nonparametric procedures.1Licence not specifiedover 2 years ago
- Although many volatile organic compounds (VOCs) are regulated to limit air pollution and the consequent health effects, the photooxidation products generally are not. Thus, we examined the mutagenicity in Salmonella TA100 of photochemical atmospheres generated in a steady-state atmospheric simulation chamber by irradiating mixtures of single aromatic VOCs, NOx, and ammonium sulfate seed aerosol in air. The 10 VOCs examined were benzene; toluene; ethylbenzene; o-, m-, and p-xylene; 1,2,4- and 1,3,5-trimethylbenzene; m-cresol; and naphthalene. Salmonella were exposed at the air-agar interface to the generated atmospheres for 1, 2, 4, 8, or 16 h. Dark-control exposures produced non-mutagenic atmospheres, illustrating that the gas-phase precursor VOCs were not mutagenic at the concentrations tested. Under irradiation, all but m-cresol and naphthalene produced mutagenic atmospheres, with potencies ranging from 2.0 (p-xylene) to 10.4 (ethylbenzene) revertants m3 mgC-1 h-1. The mutagenicity was due exclusively to direct-acting late-generation products of the photooxidation reactions. Gas-phase chemical analysis showed that a number of oxidized organic chemical species enhanced during the irradiated exposure experiments correlated (r ≥ 0.81) with the mutagenic potencies of the atmospheres. Molecular formulas assigned to these species indicated that they likely contained peroxy acid, aldehyde, alcohol, and other functionalities. This dataset is associated with the following publication: Riedel, T., D. DeMarini, S. Warren, E. Corse, J. Offenberg, T. Kleindienst, M. Lewandowski, and J. Zavala. Mutagenic atmospheres resulting from the photooxidation of aromatic hydrocarbon and NOx mixtures. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 178: 164-172, (2018).1Licence not specifiedover 2 years ago
- These data are measurement time series collected onboard multiple mobile monitoring vehicles. The data are at a high time resolution (seconds to minutes). This dataset is associated with the following publication: Lin, M., G. Hagler , R. Baldauf , V. Isakov , and A. Khlystov. The Effects of Vegetation Barriers on Near-road Ultrafine Particle Number and Carbon Monoxide Concentrations. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 553: 372-379, (2016).1Licence not specifiedover 2 years ago
- This dataset contains water quality data and associated site information including landuse/landcover descriptions for the 2011 NWCA wetland sites at which a water sample was successfully obtained. This dataset is associated with the following publication: Trebitz, A., J. Nestlerode, and A. Herlihy. USA-scale patterns in wetland water quality as determined from the 2011 National Wetland Condition Assessment. ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 191(262): 24 p., (2019).1Licence not specifiedover 2 years ago
- This is a NetCDF file in ioapi format that contains the probability that ozone is above the 8 hr max O3 standard for the four days of the simulation. This dataset is not publicly accessible because: The file size is a large binary NetCDF file of 56Mb. It can be accessed through the following means: File is located on US EPA's HPC system sol file archive: /asm/grc/JGR_ENSEMBLE_ScienceHub/Figure9.nc. Format: NetCDF file that contains the O3 gridded data to reproduce Figure 9. This dataset is associated with the following publication: Gilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).1Licence not specifiedover 2 years ago
- The two excel files contain all of the raw data that was modeled in the R code. The 6 word documents contain all of the R code that can be used in R to model the raw rabbit data. This dataset is associated with the following publication: Bartrand, T., H. Marks, M. Coleman, D. Donahue, S. Hines, J. Comer, and S. Taft. Modeling Rabbit Responses to Single and Multiple Aerosol Exposures of Bacillus anthracis Spores (HS 4.04.02 - 475). RISK ANALYSIS. Blackwell Publishing, Malden, MA, USA, 37(5): 943-957, (2017).1Licence not specifiedover 2 years ago
- Property characteristics and parcel boundaries, shoreline features, and sea level rise inundation vulnerability for the state of Maryland. This dataset is not publicly accessible because: EPA cannot release CBI, or data protected by copyright, patent, or otherwise subject to trade secret restrictions. Request for access to CBI data may be directed to the dataset owner by an authorized person by contacting the party listed. It can be accessed through the following means: Data on property attributes and parcel boundaries from MdProperty View can be accessed at https://planning.maryland.gov/Pages/OurProducts/PropertyMapProducts/MDPropertyViewProducts.aspx Data on shoreline features for Anne Arundel County can be accessed at http://ccrm.vims.edu/gis_data_maps/shoreline_inventories/maryland/anne_arundel/annearundel_disclaimer.html Data on sea level rise inundation vulnerability for Maryland coastal counties can be accessed at https://imap.maryland.gov/ServicesMetadata/ClimMetAtm/SeaLevelRiseVul/ELEV_2FootInundation_CGIS.htm. Format: Property sales and attribute data were obtained from MdProperty View and include numeric data as well as georeferenced parcel data. Georeferenced data on shoreline features, including adaptation structures, come from a joint program between the Virginia Institute of Marine Science, the Maryland Department of Natural Resources, and the National Oceanic and Atmospheric Agency (NOAA). Georeferenced sea level rise inundation vulnerability data were produced in a joint project between NOAA, the Maryland Commission on Climate Change, and Towson University. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.1Licence not specifiedover 2 years ago
- The data include is for all of the tables and figures associated with the published journal article. This dataset is associated with the following publication: Platten, W., N. Sylvest, C. Warren, M. Arambewela, S. Harmon , K. Bradham, K. Rogers, T. Thomas, and T. Luxton. Estimating Dermal Exposure to Copper Nanoparticles from the Surfaces of Pressure-Treated Lumber and Implications for Toxicity. D. Barcelo Culleres, and J. Gan SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 548: 441-449, (2016).1Licence not specifiedover 2 years ago
- Low RNA yield and quality limit use of formalin-fixed paraffin-embedded (FFPE) tissue samples for genomic analyses. In this study, we evaluated methods to demodify RNA highly fragmented and crosslinked by formalin fixation. Primary endpoints were RNA recovery, RNA-sequencing quality metrics, and target gene responses to a reference chemical (phenobarbital, PB). Frozen mouse liver samples from control and PB groups (n=6/group) were divided and preserved for 3 months as follows: frozen (FR); 70% ethanol (OH); 10% buffered formalin for 18 hours followed by ethanol (18F); and 10% buffered formalin (3F). Samples from OH, 18F, and 3F groups were processed to FFPE blocks and sectioned for RNA isolation. The latter group received no additional treatment (3F) or the following demodification protocols: short heated incubation with TAE buffer; overnight heated incubation with an organocatalyst using two different isolation kits; or overnight heated incubation without organocatalyst. TruSeq Stranded Total RNA libraries with Ribo-Zero were built and sequenced using the Illumina HiSeq platform. Extended incubation with or without organocatalyst increased RNA yield >3-fold and enhanced quality compared to 3F, as indicated by higher RNA integrity number (>1.5-fold) and fragment analysis values (>3.0-fold). Post-sequencing metrics showed reduced bias in gene coverage and deletion rates for all extended incubation groups. Following PB-induced differential gene expression analysis, all demodification groups showed increased overlap with FR in genes (73-83%) and pathways (91-94%) compared to 3F overlap with FR (60% and 63%, respectively). These results demonstrate simple changes in RNA isolation methods that can enhance genomic analyses of FFPE samples. This dataset is associated with the following publication: Wehmas, L., C. Wood, R. Gagne, A. Williams, C. Yauk, M. Gosink, D. Dalmas, R. Hao, R. O'Lone, and S. Hester. Demodifying RNA for Transcriptomic Analyses of Archival Formalin-Fixed Paraffin-Embedded Samples. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 162(2): 535-547, (2018).1Licence not specifiedover 2 years ago
- Cardiovascular Physiologic and Systemic Responses to Sequential Exposure to Nitrogen Dioxide and Ozone in Rats. This dataset is associated with the following publication: Farraj , A., F. Malik, N. Coates , L. Walsh , D. Winsett , D. Terrell , L. Thompson, W. Cascio , and M. Hazari. Morning NO2 Exposure Sensitizes Hypertensive Rats to the Cardiovascular Effects of Same Day O3 Exposure in the Afternoon. INHALATION TOXICOLOGY. Informa Healthcare USA, New York, NY, USA, 28(4): 170-179, (2016).1Licence not specifiedover 2 years ago
- The data is secondary in nature. Meaning that no data was generated as part of this review effort. Rather, data that was available in the peer-reviewed literature was used. This dataset is not publicly accessible because: This is a review manuscript, there was not data generated under this effort. All data used was secondary data and sources of the data were identified in the manuscript. It can be accessed through the following means: there is no database. Format: there is no data base. This dataset is associated with the following publication: Tolaymat , T., A. El Badawy, R. Sequeira, and A. Genaidy. An integrated science-based methodology to assess potential risks and implications of engineered nanomaterials. Diana Aga, Wonyong Choi, Andrew Daugulis, Gianluca Li Puma, Gerasimos Lyberatos, and Joo Hwa Tay JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 298: 270-281, (2015).1Licence not specifiedover 2 years ago
- The average concentrations of As, Cd, Cr, Hg, Ni and Pb in n=84 residential soil samples, in Rosia Montana area, analyzed by X-ray fluorescence spectrometry are given along with the standard deviations. The metal concentrations of mine pit soil (n=7) provided by Rosia Montana Gold Corporation are also given. The data are compared with the Romanian regulatory exposure levels (Alert threshold (AT) and Intervention threshold (IT)) for residential soil. The average concentrations of As, Cd, Cr, Hg, Ni and Pb in n=10 drinking water samples collected from springs and wells in Rosia Montana area, analyzed by atomic absorption spectrometry with hydride generation (for As), graphite furnace (for Pb, Cd, Cr, Ni), cold vapors hydride generation (for Hg) are given along with the standard deviations. The secondary data of metal concentrations of the stream waters in Rosia Montana area from 2005-2008, obtained from Rosia Montana Gold Corporation (RMGC) Environmental Impact Assessment Study - water Baseline report, 2007 and Rosia Montana Gold Corporation (RMGC) Environmental Impact Assessment Study - Surface water quality, 2007 are also available. The Romanian regulatory exposure levels for metals in drinking water are given for comparison purposes. The distribution of metal concentrations in residential soils around the Rosia Montana area are given along with the distances from the mine pit. This dataset is associated with the following publication: Neamtiu, I., S. Al-Abed, J. McKernan, C. Baciu, E. Gurzau, A. Pogacean, and S. Bessler. Metals contamination in environmental media in residential areas around Romanian mining sites. David O. Carpenter, and Peter Sly REVIEWS ON ENVIRONMENTAL HEALTH. Freund Publishing House Limited, Tel Aviv, ISRAEL, 31(4): 1-6, (2016).1Licence not specifiedover 2 years ago
- Compliance Assurance and Enforcement Division Document Repository (CAEDDOCRESP) provides internal and external access of Inspection Records, Enforcement Actions, and National Environmental Protection Act (NEPA) documents to all CAED staff. The respository will also include supporting documents, images, etc.1Licence not specifiedover 2 years ago
- The initial module incorporated into the application was the eDisclosure module to track regulatory audit disclosure reports that come through EPA's Central Data Exchange to Region 6 for review, and if approved, route Notice of Determinations back to the disclosing entity via email. This module was developed in 2007 and approved for use on the local area network in September 2008.1Licence not specifiedover 2 years ago
- This data shows the heart rate, heart rate variability and cardiac mechanical function of mice exposed to acrolein or ozone. This dataset is associated with the following publication: Kurhanewicz, N., R. McIntosh-Kastrinsky, H. Tong, A. Ledbetter, L. Walsh, A. Farraj, and M. Hazari. TRPA1 mediates changes in heart rate variability and cardiac mechanical function in mice exposed to acrolein. TOXICOLOGICAL AND APPLIED PHARMICOLOGY. Elsevier Science BV, Amsterdam, NETHERLANDS, 324: 51-60, (2017).1Licence not specifiedover 2 years ago
- Data includes chemical and biological samples from Ecoregion 69 in West Virginia. eco69_dupchem.csv: 1. Station-year with at least 6 conductivity samples, one in the spring and one in the summer. bio.sample69.csv: Final Criteria dataset for ecoregion 69 by excluding: 1. Non-biology samples, 2. Removed no-conductivity record; 4. removed pH <=6 samples; 5. removed high Cl sites (SO4+HCO3 < CL). ss.csv: Source:WVDEP Crosstabed genus X sample matrix for Ecoregion 69 and 70. 1. Remove ambiguous taxa; 2. Remove non-reference taxa in these two ecoregions in WV data set. This dataset is associated with the following publication: Cormier, S., C. Flaherty, and L. Zheng. Field-based method for evaluating the annual maximum specific conductivity tolerated by freshwater invertebrates. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 633: 1637-1646, (2018).1Licence not specifiedover 2 years ago
- This database processes approximately 3,000 Notice of Arrival (NOA) reporting forms from importers and exporters of pesticide products. This is an electronic version of the EPA Form 3540-1. The external user fills out the NOA and submits it electronically. The form is then processed by the Pesticides section and either approved or disapproved. The system then generates an Adobe PDF version of the EPA Form 3540-1 with signature or disapproval and emailed to the external user. The e-filing system eliminates the need for the Region to invest in paper, copying, storage and mailing expenses, while at the same time allowing the regulated community to conduct its business with us in a more expeditious manner.1Licence not specifiedover 2 years ago
- In this research paper, we summarize results from sectoral impact models applied within a consistent modelling framework to project how climate change will affect 22 impact sectors of the United States, including effects on human health, infrastructure and agriculture. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.1Licence not specifiedover 2 years ago
- Application of ICP-OES for evaluating energy extraction and production wastewater discharge impacts on surface waters in Western Pennsylvania Figure 2 data (Pancras et al., Science of the Total Environment 529 (2015) 21–29). This dataset is associated with the following publication: Pancras, J.P., G. Norris , M. Landis , K. Kovalcik , J.K. McGee , and A. Kamal. Application of ICP-OES for Evaluating Energy Extraction and Production Wastewater Discharge Impacts on Surface Waters in Western Pennsylvania. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 529: 21-29, (2015).1Licence not specifiedover 2 years ago
- This file contains the data used to generate hit calls from neural activity recordings on microelectrode array (MEA) plates treated with ToxCast compounds at a single concentration. This dataset is associated with the following publication: Strickland, J., M. Martin, A. Richard, K. Houck, and T. Shafer. Screening the ToxCast phase II libraries for alterations in network function using cortical neurons grown on multi-well microelectrode array (mwMEA) plates. Archives of Toxicology. Springer, New York, NY, USA, 92(1): 487-500, (2018).1Licence not specifiedover 2 years ago
- The results demonstrate the Ag 3d5/2-3/2 spectrum of the pristine AgNPs. Furthermore, the XAS spectra from the analysis of the nanosilver solution (ASAP-AGX-32) after the disinfection process is demonstrated followed by the LCF results indicating the dominant species formed after the disinfection process. This dataset is associated with the following publication: Gitipour, A., S. Al-Abed, S. Thiel, K. Scheckel, and T. Tolaymat. Nanosilver as a disinfectant in dental unit waterlines: Assessment of the physiochemical transformations of the AgNPs. Jacob de Boer and Shane Snyder CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 173: 245-252, (2017).1Licence not specifiedover 2 years ago
- This data compares spatial autocovariance models used in the modeling and prediction of specific conductivity over 8 sampling periods in an Eastern Kentucky watershed. This dataset is associated with the following publication: McManus, M., E. DAmico, E. Smith, R. Polinsky, J. Ackerman, and K. Tyler. Variation in stream network relationships and geospatial predictions of watershed conductivity. Freshwater Science. The Society for Freshwater Science, Springfield, IL, 39(4): 1-18, (2020).1Licence not specifiedover 2 years ago
- The study population included live births from the National Center for Health Statistics (NCHS) for the entire United States for the years 2000–2005 for all 3141 counties. Domain-specific EQIs were used to represent environmental exposure at the county-level for the entire U.S. over the 2000–2005 time period. The EQI includes variables representing five environmental domains: air, water, land, built, and sociodemographic (2). The domain-specific indices include both beneficial and detrimental environmental factors. The air domain includes 87 variables representing criteria and hazardous air pollutants. The water domain includes 80 variables representing overall water quality, general water contamination, recreational water quality, drinking water quality, atmospheric deposition, drought, and chemical contamination. The land domain includes 26 variables representing agriculture, pesticides, contaminants, facilities, and radon. The built domain includes 14 variables representing roads, highway/road safety, public transit behavior, business environment, and subsidized housing environment. The sociodemographic environment includes 12 variables representing socioeconomics and crime. 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: Human health data are not available publicly. EQI data are available at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: Data are stored as csv files. This dataset is associated with the following publication: Grabich, S., K. Rappazzo, C. Gray, J. Jagai, Y. Jian, L. Messer, and D. Lobdell. Additive interaction between heterogeneous environmental quality domains (air, water, land, sociodemographic and built environment) on preterm birth. Frontiers in Public Health. Frontiers, Lausanne, SWITZERLAND, 4: 232, (2016).1Licence not specifiedover 2 years ago
- This dataset includes data used to generate Figures 4C, 5B, 5C, and 5D in Tal et al. Screening for angiogenic inhibitors in zebrafish to evaluate a predictive model for developmental vascular toxicity. Reproductive Toxicology. 2017. Data underlying all other figures shown in the manuscript are included in the Supplemental Tables published with the original article. This dataset is associated with the following publication: Tal , T., C. Kilty, A. Smith, C. LaLone , B. Kennedy, A. Tennant , C. McCollum, M. Bondesson, T. Knudsen , S. Padilla , and N. Kleinstreuer. Screening for angiogenic inhibitors in zebrafish to evaluate a predictive model for developmental vascular toxicity. REPRODUCTIVE TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 70: 70-81, (2017).1Licence not specifiedover 2 years ago
- The plume dispersion model AERMOD provides an efficient method for modeling ground-level pollutant concentrations in wakes of buildings. In recent years, several studies have shown that the downwash algorithms within AERMOD often perform poorly in certain applications. Some studies have proposed modifications to the downwash algorithm in AERMOD to bring the model closer to representing the underlying physical processes associated with building downwash and closer to more accurately modeling observed pollutant concentrations. One such study by Monbureau et al. (2018) made changes to the model that significantly improved its ability to model ground level concentrations for a simple case of a single rectangular building with an elevated, effluent-emitting stack experiencing winds perpendicular to the upwind side of the building. The present study introduces a simple algorithm to enhance AERMOD’s ability to appropriately match the dispersion pattern in the complex flow case of non-orthogonal winds. This algorithm, which is based on a rich set of Large-Eddy Simulations (LES), applies to a variety of building dimensions, stack locations, and stack heights. A sensitivity analysis demonstrates how additional modifications to the downwash algorithm may further improve AERMOD in modeling the spatial location of observed ground-level effluent. This dataset is associated with the following publication: Monbureau, E.M., D. Heist, S. Perry, and W. Tang. Modeling lateral plume deflection in the wake of an elongated building. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 234: 117608, (2020).1Licence not specifiedover 2 years ago
- Leaf wetness was measured continuously in the lower, middle, and upper canopy of one mature and one young Douglas-fir tree at five sites situated along an elevational gradient from west side of Coast Range of Oregon to west side of Cascade Range of Oregon. This dataset is associated with the following publication: Lan, Y., D.C. Shaw, P.A. Beedlow, E. Lee, and R.S. Waschmann. Severity of Swiss needle cast in young and mature Douglas-fir forests in western Oregon, USA. FOREST ECOLOGY AND MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 442: 79-95, (2019).1Licence not specifiedover 2 years ago
- Wind tunnel measurements of flow and dispersion from a simulated roadway with near-road solid barriers. This dataset is associated with the following publication: Ahangar, F., D. Heist, S. Perry, and A. Venkatram. Reduction of air pollution levels downwind of a road with an upwind noise barrier. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 155: 1-10, (2017).1Licence not specifiedover 2 years ago
- Decontamination studies evaluated the effectiveness of liquid-based surface decontaminants against pesticides on indoor surfaces. Building materials, representing nonporous and porous surfaces, were contaminated with common pesticides, including malathion, carbaryl, fipronil, deltamethrin, and permethrin as well as commercial formulations thereof. Pesticide surface concentrations were representative of the pesticide-specific levels measured during field investigations involving misapplications of pesticides in homes or businesses (25–2,400 µg/100 cm2 surface concentration range). Decontamination testing occurred via a single or repeated application of the decontaminant without further mechanical removal or rinse steps. Decontaminants were both off-the-shelf and specialized solutions representing various chemistries (hypochlorite, hydrogen peroxide, quaternary ammonium compounds and ammonium salts). The persistence of surface residues was also investigated to assess the potential reduction of pesticide mass on surfaces under simulated indoor environmental conditions. The datasets provide the pesticide mass recovered from coupons and the calculated decontamination efficacies for all decontamination studies. This dataset is associated with the following publication: Oudejans, L., A. Mysz, E. Snyder, B. Wyrzykowska-Ceradini, J. Nardin, D. Tabor, J. Starr, D. Stout, and P. Lemieux. Remediating Indoor Pesticide Contamination from Improper Pest Control Treatments: Persistence and Decontamination Studies. D.Aga JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 397(5): 11, (2020).1Licence not specifiedover 2 years ago
- Data set includes occurrence and genotypes of T. gondii and Cryptosporidium species found in central California coastlines. This dataset is associated with the following publication: Staggs , S., S. Keely , M. Ware , N. Schable, M. See , D. Gregorio, X. Zou, C. Su, J.P. Dubey, and E. Villegas. The development and implementation of a method using blue mussels (Mytilus spp.) as biosentinels of Cryptosporidium spp. and Toxoplasma gondii contamination in marine aquatic environments. Parasitology Research. Springer, New York, NY, USA, 114(12): 4655-4667, (2015).1Licence not specifiedover 2 years ago
- The data include chemical composition of Pb contaminated soils by adding FGDG as an amendment. The data shows the changes in Pb speciation to sulfur based minerals. This dataset is associated with the following publication: Koralegedara, N., S. Al-Abed, S. Rodrigo, R. Karna, K. Scheckel, and D. Dionysiou. Alterations of lead speciation by sulfate from addition of flue gas desulfurization gypsum (FGDG) in two contaminated soils. D. Barcelo SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 575: 1522-1529, (2017).1Licence not specifiedover 2 years ago
- This data file contains the full raw parameter data for the 86 compounds tested in the developmental MEA assay, as well as Area Under the Curve (AUC) calculations and plate normalized data.1Licence not specifiedover 2 years ago
- Data for Assessing background levels of specific conductivity using weight of evidence 508 compliantData contains sampling station locations with physical and chemical data. Data: stations 508.xlsx (Ohio dataset), env.bio70 508.xlsx (WV biological station dataset). This dataset is associated with the following publication: Cormier, S., L. Zheng, G. Suter, and C. Flaherty. Assessing background levels of specific conductivity using weight of evidence. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 628-629: 1637-1649, (2018).1Licence not specifiedover 2 years ago
- A cross-sectional design was used where 86 residents of East Liverpool, Ohio, 100 residents from Marietta, Ohio and 90 residents from Mount Vernon, Ohio were recruited and participated in the study. The Marietta/Mount Vernon data collection took place in August, 2009 as this was the original study location. Marietta was an air manganese (air-Mn) exposed community and Mt. Vernon was a comparison community believed to have little or no air-Mn exposure. After receiving additional funding and approvals, East Liverpool was added and data collection occurred in November, 2011 using identical study protocols to the Marietta/Mount Vernon study with the exception of additional specimen collections of hair and toenails (only collected in East Liverpool). All participants underwent a neuropsychological battery of tests of mood, motor and cognitive function. A comprehensive health questionnaire was administered inquiring about sociodemographics, symptoms, diagnosed illnesses, medication use, health habits, work history, and dietary consumption (used to compute dietary intake of Mn and Fe). Additionally, the study included data acquisition on air monitoring and modeling, biomarkers, and health. 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: Because this data set includes protected health information, public access is not available. Format: csv files. This dataset is associated with the following publication: Bowler, R., S. Adams, C. Wright, Y. Kim, A. Booty, M. Colledge, V. Gocheva, and D. Lobdell. Medication Use Associated with Exposure to Manganese in Two Ohio Towns. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH. Carfax Publishing Limited, Basingstoke, UK, 26(5): 483-96, (2016).1Licence not specifiedover 2 years ago
- A titanium-based zeolitic thiophene-benzimidazolate framework has been designed for the direct synthesis of dimethyl carbonate (DMC) from methanol and carbon dioxide. The developed catalyst activates carbon dioxide and delivers over 16% yield of DMC without the use of any dehydrating agent or requirement for azeotropic distillation. This dataset is associated with the following publication: Varma, R., M. Nadagouda, S. Verma, and R.B.N. Baig. Fixation of carbon dioxide into dimethyl carbonate over titanium-based zeolitic thiophene-benzimidazolate framework. Scientific Reports. Nature Publishing Group, London, UK, issue}: 655, (2017).1Licence not specifiedover 2 years ago
- Observed and modeled water demand variations in a city's drinking water distribution system. This dataset is not publicly accessible because: EPA cannot release the personally identifiable information regarding the water demand variations and drinking water distribution network information according to the Privacy and the Freedom of Information Act (FOIA). This data set contains information on the distribution network, which is under a signed confidential agreement for homeland security conditions. It can be accessed through the following means: Restricted access may be granted to authorized persons or organizations under a possible legal arrangement. Format: Data are stored in Excel and computer-modeling meta data. This dataset is associated with the following publication: Zhao, Y., J. Yang, Y. Shao, Y. Lee, and T. Zhang. Demand-Driven Spatiotemporal Variations of Flow Hydraulics and Water Age by Comparative Modeling Analysis of Distribution Network. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT. American Society of Civil Engineers (ASCE), Reston, VA, USA, 144(12): 0401874 1-10, (2018).1Licence not specifiedover 2 years ago
- This file contains water balances, monthly nitrate leaching and concentrations, field site descriptions and field crop inputs and harvest information.1Licence not specifiedover 2 years ago
- This dataset includes the geographic location (lat/lon) for 15,136 plots, as well as the herbaceous species richness, climate, soil pH, and other variables related to the plots. This dataset is associated with the following publication: Simkin, S., C. Clark , W. Bowman, E. Allen, J. Belnap, and L. Pardo. Conditional vulnerability of plant diversity to atmospheric nitrogen deposition across the United States. PNAS (PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES). National Academy of Sciences, WASHINGTON, DC, USA, 113(15): 4086-4091, (2016).1Licence not specifiedover 2 years ago
- A laboratory study of the influence of complex terrain on the interface between a well-mixed boundary layer and an elevated stratified layer was conducted in the towing-tank facility of the U.S. Environmental Protection Agency. The height of the mixed layer in the daytime boundary layer can have a strong influence on the concentration of pollutants within this layer. Deflections of streamlines at the height of the interface are primarily a function of hill Froude number (Fr), the ratio of mixed-layer height (zi) to terrain height (h), and the crosswind dimension of the terrain. The magnitude of the deflections increases as Fr increases and zi / h decreases. For mixing-height streamlines that are initially below the terrain top, the response is linear with Fr; for those initially above the terrain feature the response to Fr is more complex. Once Fr exceeds about 2, the terrain-related response of the mixed layer interface decreases somewhat with increasing Fr (toward more neutral flow). Deflections are also shown to increase as the crosswind dimensions of the terrain increases. Comparisons with numerical modeling, limited field data and other laboratory measurements reported in the literature are favorable. Additionally, visual observations of dye streamers suggests that the flow structure exhibited for our elevated inversions passing over three dimensional hills is similar to that reported in the literature for continuously stratified flow over two-dimensional hills. This dataset is associated with the following publication: Perry, S., and W. Snyder. Laboratory simulations of the atmospheric mixed-layer in flow over complex topography. PHYSICS OF FLUIDS. Physics of Fluids, 29(2): 020702, (2017).1Licence not specifiedover 2 years ago
- The data are described in detail in the uploaded file "Science hub metadata.docx". This dataset is associated with the following publication: Zhang, Y., J. Bash, S. Roselle, A. Shatas, A. Repinsky, R. Mathur, C. Hogrefe, J. Piziali, T. Jacobs, and A. Gilliland. Unexpected air quality impacts from implementation of green infrastructure in urban environments: a Kansas City Case Study. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 744(20): 140960, (2020).1Licence not specifiedover 2 years ago
- The dataset provides information on chromium concentrations extracted from rock samples collected at the Garfield SF site in New Jersey (USA). The data are discussed in Zhao et al. (2017). Chemical Geology, v. 474, p. 1-8. This dataset is associated with the following publication: Zhao, J., T. Al, S. Chapman, B. Parker, K. Mishkin, D. Cutt, and R. Wilkin. Determination of Cr(III) solids formed by reduction of Cr(VI) in a contaminated fractured bedrock aquifer: evidence for natural attenuation of Cr(VI). CHEMICAL GEOLOGY. Elsevier Science Ltd, New York, NY, USA, 474: 1-8, (2017).1Licence not specifiedover 2 years ago
- Nitrate and sulfate are two key components of airborne particulate matter (PM). While multiple formation mechanisms have been proposed for sulfate, current air quality models commonly underestimate its concentrations and mass fractions during northern China winter haze events. On the other hand, current models usually overestimate the mass fractions of nitrate. Very recently, laboratory studies have proposed that nitrous acid (N(III)) produced by particulate nitrate photolysis can oxidize sulfur dioxide to produce sulfate. Here, for the first time, we parameterize this heterogeneous mechanism into the state-of-the-art Community Multi-scale Air Quality (CMAQ) model and quantify its contributions to sulfate formation. We find that the significance of this mechanism mainly depends on the enhancement effects (by 1–3 orders of magnitude as suggested by the available experimental studies) of nitrate photolysis rate constant ("J" _(〖"NO" 〗_"3" ^- )) in aerosol liquid water compared to that in the gas phase. Comparisons between model simulations and in-situ observations in Beijing suggest that this pathway can explain about 15% (assuming an enhancement factor (EF) of 10) to 65% (assuming EF = 100) of the model–observation gaps in sulfate concentrations during winter haze. Our study strongly calls for future research on reducing the uncertainty in EF. This dataset is not publicly accessible because: Data sets used in the analysis presented in the manuscript “Contribution of particulate nitrate photolysis to heterogeneous sulfate formation for winter haze in China” Model simulations were conducted by Tsinghua University in China and results are available from the Tsinghua University. Contact: Haotian Zheng, School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China. Email: hzheng@g.harvard.edu. It can be accessed through the following means: Data sets used in the analysis presented in the manuscript “Contribution of particulate nitrate photolysis to heterogeneous sulfate formation for winter haze in China” Model simulations were conducted by Tsinghua University in China and results are available from the Tsinghua University. Contact: Haotian Zheng, School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China. Email: hzheng@g.harvard.edu. Format: Data sets used in the analysis presented in the manuscript “Contribution of particulate nitrate photolysis to heterogeneous sulfate formation for winter haze in China” Model simulations were conducted by Tsinghua University in China and results are available from the Tsinghua University. Contact: Haotian Zheng, School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China. Email: hzheng@g.harvard.edu. This dataset is associated with the following publication: Sarwar, G., H. Zheng, S. Song, M. Gen, S. Wang, D. Ding, X. Chang, J. Xing, Y. Sun, D. Ji, C. Chan, J. Gao, and M. McElroy. Contribution of Particulate Nitrate Photolysis to Heterogeneous Sulfate Formation for Winter Haze in China. Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 7(9): 632-638, (2020).1Licence not specifiedover 2 years ago
- Understanding variation in physiological traits across taxa is a central question in evolutionary biology that has wide-ranging implications in biomedicine, disease ecology, and environmental protection. Sialic acid (Sia), and in particular, 5-N-acetylneuraminic acid (Neu5Ac), is chemically bound to galactose and the underlying glycan via α2–3 or α2–6 glycosidic linkage (i.e., Siaα2–3Galactose or Siaα2–6Galactose), conferring two different cell surface structures that affects cell to cell communication and interactions with foreign agents including microparasites and toxins. As an initial step towards understanding variation of Sia across the class Aves, we collected red blood cells (RBCs or erythrocytes) and measured Sia quantity in 76 species and 340 individuals using HPLC-MS/MS and glycosidic linkage type in 24 species and 105 individuals using hemagglutination assay. Although Sia quantity did not, α2–6 glycosidic linkage did exhibit a discernable phylogenetic pattern as evaluated by a phylogenetic signal (λ) value of 0.7. Sia quantity appeared to be higher in after hatch year birds than hatch year birds (P < 0.05); moreover, ~80% of the measured Sia across all individuals or species was expressed by ~20% of the individuals or species. Lastly, as expected, we detected a minimal presence of 5-N-glycolylneuraminic acid in the avian RBCs tested. These data provide novel insights and a large baseline dataset for further study on the variability of Sia in the class Aves which might be useful for understanding Sia dependent processes in birds. This dataset is not publicly accessible because: These data are not EPA-owned. It can be accessed through the following means: The data can be accessed by contacting the corresponding author of the manuscript. The corresponding author is Mark Jankowski (jankowski.mark@epa.gov). Alternatively, the data can be accessed by contacting the principle investigator of the funding entity, Jeanne Fair (jmfair@lanl.gov). Format: As described in the manuscript, several hundred birds were sampled to determine the quantity of sialic acid and the glycosidic linkage type present on the blood cell surface of those sampled birds. The information was used to summarize the variation of sialic acid on avian red blood cells from an individual and a phylogenetic perspective. Therefore, the dataset includes all sample identification information including date and location of sample acquisition, bird taxonomic information, and sialic acid results. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.1Licence not specifiedover 2 years ago
- Organogenesis in the embryo involves cell differentiation and organization events that are unique to each tissue and organ and are susceptible to developmental toxicants. Animal models are the gold standard for identifying putative teratogens, but the limited throughput of developmental toxicological studies in animals coupled with the limited concordance between animal and human teratogenicity motivates a different approach. In vitro organoid models can mimic the cellular architecture and phenotype of many tissues and organs, and the three-dimensional (3D) architecture of organoids presents an opportunity to study developmental human toxicology. Common themes during development like the involvement of epithelial-mesenchymal transition and tissue fusion present an opportunity to develop in vitro models to study cell and tissue morphogenesis. We previously described organoids composed of human stem and progenitor cells that recapitulated the cellular features of palate fusion, and here we further characterized the model by examining pharmacological inhibitors targeting known palatogenesis and epithelial morphogenesis pathways as well as twelve cleft palate teratogens identified from rodent models. Organoid survival was dependent on signaling through EGF, IGF, HGF, and FGF pathways, and organoid fusion was disrupted by inhibition of BMP signaling. We observed concordance between the effects of EGF, FGF, and BMP inhibitors on organoid fusion and epithelial cell migration in vitro, suggesting that organoid fusion is dependent on epithelial morphogenesis. Three of the twelve putative cleft palate teratogens studied here significantly disrupted in vitro fusion, including theophylline, triamcinolone, and valproic acid. Tributyltin chloride and all-trans retinoic acid (ATRA) were cytotoxic to fusing organoids. The study herein demonstrates the utility of the in vitro fusion assay for identifying chemicals that disrupt human organoid survival and morphogenesis in a scalable format amenable to toxicology screening. This dataset is associated with the following publication: Belair, D., C. Wolf, S. Moorefield, C. Wood, C. Becker, and B. Abbott. A Three-Dimensional Organoid Culture Model to Assess the Influence of Chemicals on Morphogenetic Fusion.. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 394-408, (2018).1Licence not specifiedover 2 years ago
- Concentrations of 127 organic chemicals measured in water samples collected from five locations in proximity to two municipal wastewater treatment plants in the St. Croix River basin, MN and WI, USA are included. Additionally, gene expression in the livers of fathead minnows exposed in situ to the site water for 12 d is included. Gene expression was analyzed by oligonucleotide microarray and raw data are accessible through the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO), accession number GSE81263. Additional analyses performed on those data, including construction of knowledge assembly models from comparison of the detected chemicals data with associated genes from the comparative toxicogenomics database, pathway and gene ontology enrichment analyses performed on the gene expression data, and richness and concordance statistics from a Reverse Causal Reasoning-based statistical approach are included. This dataset is associated with the following publication: Schroeder , A., D. Martinović-Weigelt, G. Ankley , K. Lee, N. Garcia-Reyero, E. Perkins, H. Schoenfuss, and D. Villeneuve. Prior knowledge-based approach for associating contaminants with biological effects: A case study in the St. Croix river basin, MN, WI, USA.. ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 221: 427-436, (2017).1Licence not specifiedover 2 years ago
- Public versions of EFSA DAR's - metabolism study summaries for the pesticides; Fluazinam, Halauxifen-methyl, Kresoxim-methyl, Mandestrobin, Tolclofos-methyl in fish (bluegill or rainbow trout), rat, and goat. This dataset is associated with the following publication: Kolanczyk, R., J. Serrano, M. Tapper, and P. Schmieder. A comparison of fish pesticide metabolic pathways with those of the rat and goat. REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 94: 124-143, (2018).1Licence not specifiedover 2 years ago
- Dataset contains: sediment characterization (textural analysis, percent water content, percent organic content) from Susquehanna River sediments, radionuclide activities, and results from cesium sorption batch reactor experiments. This dataset is associated with the following publication: Ratliff, K., A. Mikelonis, and J. Duffy. Characterizing cesium sorption in freshwater settings using fluvial sediments and characteristic water chemistries. JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 253: 7, (2020).1Licence not specifiedover 2 years ago
- Bioaccessibility values for fipronil determined using 37 paired soil and dust samples. Values for the physicochemical properties of the soils and dusts used to model the bioaccessibility data. This dataset is associated with the following publication: Starr , J., W. Li, S. Graham , K. Bradham , D. Stout , A. Williams , and J. Sylva. Using paired soil and house dust samples in an in vitro assay to assess the post ingestion bioaccessibility of sorbed fipronil. JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 312: 141-149, (2016).1Licence not specifiedover 2 years ago
- Data files used in manuscript - "Influence of burned area uncertainties on modeled wildland fire PM2.5 and ozone pollution in the contiguous U.S.". This dataset is associated with the following publication: Koplitz, S., C. Nolte, G. Pouliot, J. Vukovich, and J. Beidler. Influence of uncertainties in burned area estimates on modeled wildland fire PM2.5 and ozone pollution in the contiguous U.S.. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 191: 328-339, (2018).1Licence not specifiedover 2 years ago
- Laboratories and vivariums are maintained at ambient temperatures (Ta) of 20-24 ⁰C and it is widely accepted that mice maintained under these conditions are cold stressed. When mice are inactive and sleeping in the daytime, their zone of thermoneutrality associated with a basal metabolic rate is 30-32 ⁰C. If given a choice, mice will use thermoregulatory behavior to seek out thermoneutral temperatures during the daytime. The cold stress of a vivarium can be problematic to researchers requiring an animal model that is not stressed metabolically. However, it may not be practical or economically feasible to maintain an animal vivarium at thermoneutral temperatures. One problem with raising the Ta of a vivarium is that personnel wearing protective equipment will be subject to considerable heat stress. In this paper, we present plans for the construction and operation of a device that allows mice to utilize a refuge with a heated floor maintained at an approximate thermoneutral temperatures (30-32 ⁰C). The device is made of inexpensive, readily available materials and utilizes a disposable hand warmer (HotHands®) as a heat source. One hand warmer provides a thermoneutral environment for approximately 12 hours. This device is easily adapted to a standard mouse or rat cage and requires brief maintenance each day to change the heating pad. With this device in a standard cage, mice can select an environment associated with thermoneutral conditions during the daytime when inactive and sleeping. At night, the mice are more active, have a higher metabolic rate, and prefer cooler Ta’s. Egress from the warmed plate allows mice to seek cooler Ta’s at night. This dataset is associated with the following publication: Gordon, C., E. Puckett, E. Repasky, and A. Johnstone. A DEVICE THAT ALLOWS RODENTS TO BEHAVIORALLY THERMOREGULATE WHEN HOUSED IN VIVARIUMS. COMPARATIVE MEDICINE. American Association for Laboratory Animal Science, Memphis, TN, USA, 173-176, (2017).1Licence not specifiedover 2 years ago
- Monthly site compare scripts and output used to generate the model/ob plots and statistics in the manuscript. The AQS hourly site compare output files are not included as they were too large to store on ScienceHub. The files contain paired model/ob values for the various air quality networks. This dataset is associated with the following publication: Appel, W., S. Napelenok, K. Foley, H. Pye, C. Hogrefe, D. Luecken, J. Bash, S. Roselle, J. Pleim, H. Foroutan, B. Hutzell, G. Pouliot, G. Sarwar, K. Fahey, B. Gantt, D. Kang, R. Mathur, D. Schwede, T. Spero, D. Wong, J. Young, and N. Heath. Description and evaluation of the Community Multiscale Air Quality (CMAQ) modeling system version 5.1. Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau, GERMANY, 10: 1703-1732, (2017).1Licence not specifiedover 2 years ago
- These files contain time-course data for temperature, relative humidity, and fumigant concentration during the fumigation of computers with methyl bromide or methyl iodide. There is a also a file that shows the effect of fumigation on the sensitivity of the HOBO-U10 RH sensor. This dataset is associated with the following publication: Lee, S., S. Serre, A. Adrion, and R. Scheffrahn. Impact of Sporicidal Fumigation with Methyl Bromide or Methyl Iodide on Electronic Equipment. JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 231: 1021-1027, (2019).1Licence not specifiedover 2 years ago
- model predicted concentrations. This dataset is associated with the following publication: Muñiz-Unamunzaga, M., R. Borge, G. Sarwar, B. Gantt, D. de la Paz, C. Cuevas, and A. Saiz-Lopez. The influence of ocean halogen and sulfur emissions in the air quality of a coastal megacity: The case of Los Angeles. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 610(611): 1536-1545, (2018).1Licence not specifiedover 2 years ago
- This work is the first of a two‐part study that aims to develop a computationally efficient bias correction framework to improve surface PM2.5 forecasts in the United States. Here, an ensemble‐based Kalman filter (KF) technique is developed primarily for nonrural areas with approximately 500 surface observation sites for PM2.5 and applied to three (GEOS‐Chem, WRF‐Chem, and WRF‐CMAQ) chemical transport model (CTM) hindcast outputs for June 2012. While all CTMs underestimate daily surface PM2.5 mass concentration by 20–50%, KF correction is effective for improving each CTM forecast. Subsequently, two ensemble methods are formulated: (1) the arithmetic mean ensemble (AME) that equally weights each model and (2) the optimized ensemble (OPE) that calculates the individual model weights by minimizing the least‐square errors. While the OPE shows superior performance than the AME, the combination of either the AME or the OPE with a KF performs better than the OPE alone, indicating the effectiveness of the KF technique. Overall, the combination of a KF with the OPE shows the best results. Lastly, the Successive Correction Method (SCM) was applied to spread the bias correction from model grids with surface PM2.5 observations to the grids lacking ground observations by using a radius of influence of 125 km derived from surface observations, which further improves the forecast of surface PM2.5 at the national scale. Our findings provide the foundation for the second part of this study that uses satellite‐based aerosol optical depth (AOD) products to further improve the forecast of surface PM2.5 in rural areas by performing statistical analysis of model output. This dataset is associated with the following publication: Spero, T., B. Murphy, H. Huanxin Zhang1,2, Jun Wang1,2, Lorena Castro García1,2, Cui Ge, J. Wang, L. Castro García, C. Ge, and T. Plessel. Improving surface PM2.5 forecasts in the U.S. using an ensemble of chemical transport model outputs, part I: bias correction with surface observations in non-rural areas. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 125(14): e2019JD032293, (2020).1Licence not specifiedover 2 years ago
- We used the Drosophila Genetics Reference Panel (DGRP), a collection of ~200 homozygous lines of fruit flies whose genomes have been sequenced. We quantified toluene-induced suppression of motor activity in 123 lines of these flies during exposure to toluene, a volatile organic compound known to induce narcosis in mammals via its effects on neuronal ion channels. We then applied genome-wide association analyses on this effect of toluene using the DGRP web portal (http://dgrp2.gnets.ncsu.edu), which identified polymorphisms in candidate genes associated with the variation in response to toluene exposure. We tested ~2 million variants and found 82 polymorphisms located in or near 66 candidate genes that were associated with phenotypic variation for sensitivity to toluene at P < 5 x 10-5, and human orthologs for 52 of these candidate Drosophila genes. None of these orthologs are known to be involved in canonical pathways for mammalian neuronal ion channels, including GABA, glutamate, dopamine, glycine, serotonin, and voltage sensitive calcium channels. This dataset is associated with the following publications: Bushnell, P., W. Ward, T. Morozova, W. Oshiro, M. Lin, R. Judson, S. Hester, J. Mckee, and M. Higuchi. Editor's Highlight: Genetic Targets of Acute Toluene Inhalation in Drosophila melanogaster. TOXICOLOGICAL SCIENCES. Society of Toxicology, 230-239, (2017). Tatum-Gibbs, K.R., J. Mckee , M. Higuchi , and P. Bushnell. Effects of Toluene, Acrolein and Vinyl Chloride on Motor Activity of Drosophila Melanogaster. NEUROTOXICOLOGY AND TERATOLOGY. Elsevier Science Ltd, New York, NY, USA, 47: 114-24, (2015).1Licence not specifiedover 2 years ago
- The data are maintained by the USGS (https://www.pwrc.usgs.gov/bbs/RawData/) and provide information on the trends and status of North American bird populations reported as population abundance indices. This research effort analyzed Louisiana breeding bird survey data (total species and total population) for 1990 and 2014. This dataset is not publicly accessible because: It is secondary data maintained by USGS. It can be accessed through the following means: https://www.pwrc.usgs.gov/bbs/RawData/. Format: Electronic text files. This dataset is associated with the following publication: Eason, T., W. Chuang, S. Sundstrom, and H. Cabezas. An information theory-based approach to assessing spatial patterns in complex systems. Entropy. MDPI AG, Basel, SWITZERLAND, 21(2): 182, (2019).1Licence not specifiedover 2 years ago
- Infant mortality was defined as death before completion of first year of life [1]. We obtained linked birth and infant death data from the U.S. Centers for Disease Control and Prevention for the years 2000–2005, corresponding to the time frame covered by the EQI. The EQI was constructed for 2000-2005 for all US counties and is composed of five domains (air, water, built, land, and sociodemographic), each composed of variables to represent the environmental quality of that domain. Domain-specific EQIs were developed using principal components analysis (PCA) to reduce these variables within each domain while the overall EQI was constructed from a second PCA from these individual domains (L. C. Messer et al., 2014). To account for differences in environment across rural and urban counties, the overall and domain-specific EQIs were stratified by rural urban continuum codes (RUCCs) (U.S. Department of Agriculture, 2015). 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: Human health data are not available publicly. EQI data are available at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: Data are stored as csv files. This dataset is associated with the following publication: 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).1Licence not specifiedover 2 years ago
- 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).1Licence not specifiedover 2 years ago
- Triclocarban (TCC) is a widely used antimicrobial agent that is routinely detected in surface waters. The present study was designed to examine TCC’s efficacy and mode of action as a reproductive toxicant in fish. Reproductively mature Pimephales promelas were continuously exposed to either 1 or 5 μg TCC/L, 0.5 μg 17β-trenbolone (TRB)/L or a mixture (MIX) of 5 μg TCC and 0.5 μg TRB/L for 22 d and a variety of reproductive and endocrine-related endpoints were examined. The data set includes: -Concentrations of the test chemicals detected in water and tissues of exposed fish -Ex vivo production of testosterone and estradiol by gonad tissue placed in culture (ex vivo). -Plasma concentrations of testosterone, 17beta estradiol, and vitellogenin -Targeted gene expression measurements examining relative abundance of messenger RNA coding for enzymes involved in steroid synthesis: cholesterol side-chain cleavage (cyp11a), 17-a-hydroxylase/17,20 lyase (cyp17), aromatase (cyp19a1a), 3b-hydroxysteroid dehydrogenase (3bhsd), 11bhydroxysteroid dehydrogenase (11bhsd), and 17b-hydroxysteroid dehydrogenase (17bhsd) as well as five additional transcripts measured included steroidogenic acute regulatory protein (star), Vtg receptor (vtgr), follicle-stimulating hormone receptor (fshr), luteinizing hormone receptor (lhr), and androgen receptor (ar). -Ovarian transcriptomics data measured using a 15000 feature oligonucleotide microarray (GEO Platform Accession GPL10259). -Survival, reproduction, and morphological data. -. This dataset is associated with the following publication: Villeneuve , D., K. Jensen , J. Cavallin , E. Durhan, N. Garcia-Reyero, M. Kahl , R. Leino, E. Makynen, L. Wehmas, E. Perkins, and G. Ankley. Effects of the anti-microbial contaminant triclocarban and co-exposure with the androgen 17â-trenbolone, on reproductive function and ovarian transcriptome of the fathead minnow (Pimephales promelas). ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 36(1): :231-242, (2017).1Licence not specifiedover 2 years ago
- US National Lake Assessment data. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.1Licence not specifiedover 2 years ago
- Fathead minnows (Pimephales promelas) were exposed to 100 ug/L indomethacin, 200 ug/L ibuprofen, or 20 ug/L celecoxib for 96 h. Effects on cycloxygenase enzyme activity in ovary, prostaglandin F2alpha concentrations in plasma, 17beta-estradiol concentrations in plasma, and vitellogenin concentrations in plasma were measured. Gene expression in ovary samples was evaluated using a 15,000 probe oligonucleotide microarray. Transcriptomics data (raw data and normalized) are available through the National Center for Biotechnology Information, Gene Expression Omnibus (GEO), accession number GSE72976. Metabolite profiles in liver tissue were measured by proton nuclear magnetic resonance. In addition to these data, the data set also contains identification of differentially expressed genes, pathway enrichment and gene set enrichment analyes, ToxCast data for indomethacin and celecoxib, chemical-gene interaction data derived from the Comparative Toxicogenomics database, and results from Level 1, Level 2, and Level 3 SeqAPASS analyses that examine conservation of target proteins across species (https://seqapass.epa.gov/seqapass/). This dataset is associated with the following publication: Martinovic-Weigelt, D., A. Mehinto, G. Ankley , J. Berninger, T. Collette , J. Davis , N. Denslow, E. Durhan, E. Eid, D. Ekman , K. Jensen , M. Kahl , C. LaLone , Q. Teng , and D. Villeneuve. Derivation and evaluation of putative adverse outcome pathways for the effects of cyclooxygenase inhibitors on reproductive processes in female fish. TOXICOLOGICAL SCIENCES. Society of Toxicology, 156(2): 344-361, (2017).1Licence not specifiedover 2 years ago
- Data are from 1,000 river and stream sites across the conterminous US where consistent biological, chemical, physical and watershed data were gathered. The sites were selected using a probability survey design so that the results provide inferences to all perennial flowing waters in the lower 48 states. This dataset is associated with the following publication: Omernik, J., S. Paulsen , M. Weber , and G. Griffith. Regional patterns of total nitrogen concentrations in the National Rivers and Streams Assessment. JOURNAL OF SOIL AND WATER CONSERVATION. Soil and Water Conservation Society, 71(3): 167-181, (2016).1Licence not specifiedover 2 years ago
- This Excel file contains all of the calculated values associated with the journal article: "Review of Pervaporation and Vapor Permeation Process Factors Affecting the Removal of Water from Industrial Solvents". This dataset is associated with the following publication: Vane, L.M. Review of pervaporation and vapor permeation process factors affecting the removal of water from industrial solvents. Journal of Chemical Technology and Biotechnology. John Wiley and Sons, LTD, UK, 95(3): 495-512, (2020).1Licence not specifiedover 2 years ago
- The dataset included the inventories, impact assessments and cost analyses of different scenarios at the different scales (building and district) and with different water source being reuse (mixed wastewater, graywater). And also inventoaries for thermal recovery and vertical flow wetland. This dataset is associated with the following publication: Morelli, B., S. Cashman, X. Ma, J. Garland, D. Bless, and M. Jahne. Life Cycle Assessment and Cost Analysis of Distributed Mixed Wastewater and Graywater Treatment for Water Recycling in the Context of an Urban Case Study. U.S. Environmental Protection Agency, Washington, DC, USA, 2019.1Licence not specifiedover 2 years ago
- Merged product weight fraction and chemical function data. This dataset is associated with the following publication: Isaacs , K., M. Goldsmith, P. Egeghy , K. Phillips, R. Brooks, T. Hong, and J. Wambaugh. Characterization and prediction of chemical functions and weight fractions in consumer products. Toxicology Reports. Elsevier B.V., Amsterdam, NETHERLANDS, 3: 723-732, (2016).1Licence not specifiedover 2 years ago
- Remediation produces long-term changes in soil lead bioavailability in a mouse model. 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: In the publication and supporting information. Format: These data were generated from US EPA Superfund site soil samples. All of the soil samples were provided to NERL for methods development based on the agreement that the specific sample identifiers not be released. While the City location is listed in the publication, the specific location of the site is not. There are currently on-going additional studies by USEPA and USDA that would be impacted if the site identifiers were release, which requires this information to be protected. The public can access the data, which are provided in the publication and presented in tables and figures within the publication. This dataset is associated with the following publication: Bradham, K., G. Diamond, C. Nelson, M. Noerpel, K. Scheckel, B. Elek, R. Chaney, Q. Ma, and D. Thomas. Long-Term in Situ Reduction in Soil Lead Bioavailability Measured in a Mouse Model. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(23): 13908–13913, (2018).1Licence not specifiedover 2 years ago
- This file contains land cover and water chemistry data. This dataset is associated with the following publication: Smucker, N.J., A. Kuhn , M.A. Charpentier, C.J. Cruz-Quinones, C.M. Elonen , S.B. Whorley, T.M. Jicha , J.R. Serbst , B.H. Hill , J.D. Wehr, and J. Lake. Quantifying Urban Watershed Stressor Gradients and Evaluating How Different Land Cover Datasets Affect Stream Management. ENVIRONMENTAL MANAGEMENT. Springer-Verlag, New York, NY, USA, 57(3): 683-695, (2016).1Licence not specifiedover 2 years ago
- This dataset provides all known and relevant isotopic source signatures (d15N) of NOx and NH3 sources through the fall of 2018. It includes relevant sources contributing to nitrogen deposition (e.g., mobile source NOx, ammonia emissions from agriculture, etc.). Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.1Licence not specifiedover 2 years ago
- Gasoline- and diesel-fueled engines are ubiquitous sources of air pollution in urban environments. They emit both primary particulate matter and precursor gases that react to form secondary particulate matter in the atmosphere. In this work, we use experimentally derived inputs and parameterizations to predict concentrations and properties of organic aerosol (OA) from mobile sources in southern California using a three-dimensional chemical transport model, the Community Multiscale Air Quality Model (CMAQ). The updated model includes secondary organic aerosol (SOA) formation from unspeciated intermediate volatility organic compounds (IVOC). Compared to the treatment of OA in the traditional version of CMAQ, which is commonly used for regulatory applications, the updated model did not significantly alter the predicted OA mass concentrations but it did substantially improve predictions of OA sources and composition (e.g., POA-SOA split), and ambient IVOC concentrations. The updated model, despite substantial differences in emissions and chemistry, performs similar to a recently released research version of CMAQ. Mobile sources are predicted to contribute about 30–40 % of the OA in southern California (half of which is SOA), making mobile sources the single largest source contributor to OA in southern California. The remainder of the OA is attributed to non-mobile anthropogenic sources (e.g., cooking, biomass burning) with biogenic sources contributing less than 5 % to the total OA. Gasoline sources are predicted to contribute about thirteen times more OA than diesel sources; this difference is driven by differences in SOA production. Model predictions highlight the need to better constrain multi-generational oxidation reactions in chemical transport models. This dataset is associated with the following publication: Jathar, S., M. Woody, H. Pye, K. Baker, and A. Robinson. Chemical transport model simulations of organic aerosol in southern California: model evaluation and gasoline and diesel source contributions. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 17: 4305-4318, (2017).1Licence not specifiedover 2 years ago
- This study demonstrates the potential of whole-mount in situ hybridization (WISH), in conjunction with quantitative real-time polymerase chain reaction (QPCR) assays, to examine the mechanistic basis of the effects of toxicants on early-lifestage fathead minnows. Specifically, fathead minnow embryos were exposed to the environmentally-relevant estrogen receptor agonist, estrone, and the data show that: (1) the estrogen-responsive gene transcripts esr1, vtg, and cyp19b can be up-regulated in very early-lifestages of the fathead minnow, (2) WISH methods developed for zebrafish can also be applied successfully to fathead minnows, and (3) WISH has potential to be a useful tool for toxicological studies pertaining to early-lifestage development in the fathead minnow. This type of mechanistic information relative to spatial distribution of gene expression is important in determining potential biological pathways that may be impacted by targeted chemicals and the development of associated adverse outcome pathways. This dataset is associated with the following publication: Cavallin, J., A. Schroeder, K. Jensen , D. Villeneuve , B. Blackwell, K. Carlson, M. Kahl , C. LaLone , E. Randolph , and G. Ankley. Evaluation of whole-mount in situ hybridization as a tool for pathway-based toxicological research with early-life stage fathead minnows. AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 169: 19-26, (2015).1Licence not specifiedover 2 years ago
- Storm event data and flow rates in/out pre-post device installation. This dataset is associated with the following publication: Hawley, R., J. Goodrich, N. Korth, C. Rust, E. Fet, C. Frye, K. MacMannis, M. Wooten, M. Jacobs, and R. Sinha. Detention Outlet Retrofit Improves the Functionality of Existing Detention Basins by Reducing Erosive Flows in Receiving Channels. JOURNAL OF AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 1-16, (2017).1Licence not specifiedover 2 years ago
- Table 1. Antibodies used for immunohistochemistry. Table 2. Incidence of uterine glandular epithelial lesions over time following neonatal estrogen exposure (GEN or DES) Table 3. Immunohistochemical expression of differentiation markers in the uterine epithelium following neonatal estrogen exposure (GEN or DES). This dataset is associated with the following publication: Suen, A., W. Jefferson, C. Williams, and C. Wood. Differentiation patterns of uterine carcinomas and precursor lesions induced by neonatal estrogen exposure in mice. TOXICOLOGIC PATHOLOGY. Society of Toxicology, RESTON, VA, 46(5): 574-596, (2018).1Licence not specifiedover 2 years ago
- The dataset includes benthic infaunal abundance data derived from the EPA National Coastal Assessment and Southern California Coastal Water Research Program Bight ’03 studies west coast shelf assessment studies in 2003, that were combined to form a composite data matrix of 255 stations by 1470 taxa. NCA successfully sampled 146 stations from Cape Flattery, WA, to Pt. Conception, CA in the period June 1 - 26, 2003 (NOAA Cruise AR-03-01-NC), with data from one additional NCA station off Santa Catalina Island provided to the study by SCCWRP. Fifty stations each within Washington and Oregon and 47 stations from California were successfully sampled. An additional 110 stations, located within the Channel Islands National Marine Sanctuary (27) and throughout the Southern California Bight (83, Pt. Conception, CA to the Mexican border), were successfully sampled for some or all of the NCA parameters within the target depth range by participants in the Bight ’03 survey (Ranasinghe et al. 2007). Benthic macrofaunal samples were obtained from these 257 stations, but two stations (OR03-0010, CA03-4339) failed quality assurance checks, and the final total included benthic samples from 255 stations. This dataset is associated with the following publication: Henkel, S., and W. Nelson. Assessment of spatial patterns in benthic macrofauna of the U.S. west coast continental shelf. Journal of Biogeography. Blackwell Publishing, Malden, MA, USA, 45(12): 2701-2717, (2018).1Licence not specifiedover 2 years ago
- The Hazardous Waste Report (Biennial Report) collects data on the generation, management, and minimization of hazardous waste. This provides detailed data on the generation of hazardous waste from large quantity generators and data on waste management practices from treatment, storage, and disposal facilities. The Biennial Report data provide a basis for trend analyses. Data about hazardous waste activities is reported for odd number years (beginning with 1989) to EPA. EPA then provides reports on hazardous waste generation and management activity that accompany the data files. You may use a variety of data retrieval options in the BR Search to search for other facilities that interest you.1Licence not specifiedover 2 years ago
- This dataset represents the impervious surface coefficients within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the National Land Cover Data. AOI boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-AOI boundaries and then links them through an off-network flow table. This data set is derived from the NLCD Impervious Surfaces raster which describes percent imperviousness (continuous data type). Values indicate the degree to which the area is composed of impervious anthropogenic materials (e.g., parking surfaces, roads, building roofs). This raster was produced based on a decision-tree classification of circa 2001 Landsat satellite data.1Licence not specifiedover 2 years ago
- This dataset represents the impervious surface coefficients within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the National Land Cover Data. AOI boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-AOI boundaries and then links them through an off-network flow table. This data set is derived from the NLCD Impervious Surfaces raster which describes percent imperviousness (continuous data type). Values indicate the degree to which the area is composed of impervious anthropogenic materials (e.g., parking surfaces, roads, building roofs). This raster was produced based on a decision-tree classification of circa 2008 Landsat satellite data.1Licence not specifiedover 2 years ago
- This dataset represents the impervious surface coefficients within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the National Land Cover Data. AOI boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-AOI boundaries and then links them through an off-network flow table. This data set is derived from the NLCD Impervious Surfaces raster which describes percent imperviousness (continuous data type). Values indicate the degree to which the area is composed of impervious anthropogenic materials (e.g., parking surfaces, roads, building roofs). This raster was produced based on a decision-tree classification of circa 2016 Landsat satellite data.1Licence not specifiedover 2 years ago
- This dataset represents the impervious surface coefficients within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the National Land Cover Data. AOI boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-AOI boundaries and then links them through an off-network flow table. This data set is derived from the NLCD Impervious Surfaces raster which describes percent imperviousness (continuous data type). Values indicate the degree to which the area is composed of impervious anthropogenic materials (e.g., parking surfaces, roads, building roofs). This raster was produced based on a decision-tree classification of circa 2019 Landsat satellite data.1Licence not specifiedover 2 years ago
- This dataset represents the impervious surface coefficients within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the National Land Cover Data. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from the NLCD Impervious Surfaces raster(imp2011) which describes percent imperviousness (continuous data type). Values indicate the degree to which the area is composed of impervious anthropogenic materials (e.g., parking surfaces, roads, building roofs). This raster was produced based on a decision-tree classification of circa 2011 Landsat satellite data.1Licence not specifiedover 2 years ago
- This dataset represents the characterization of global forest extent and change by year from 2001 through 2013 within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the Global Forest Change 2000–2013. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. These data are based on global tree cover loss for the period from 2001 to 2013 at a spatial resolution of 30m. The analysis used to create the landscape layer is based on Landsat data. Forest loss was defined as a stand-replacement disturbance or the complete removal of tree cover canopy at the Landsat pixel scale. This landscape layer is a disaggregation of total forest loss to annual time scales. Encoded as either 0 (no loss) or else a value in the range 1–13, representing loss detected primarily in the year 2001–2013, respectively. The forest loss by year characteristics (%) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents the estimated density of georeferenced sites within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the EPA's Facility Registry Services (FRS) geodatabase. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The FRS geodatabase is a collection of point locations of facilities or sites subject to environmental regulation. TRI, NPDES, and Superfund sites were extracted individually to summarize for each in the resulting . Csv. The (site locations / catchment) were summarized and accumulated into watersheds to produce local catchment-level and watershed-level metrics as a points data type.1Licence not specifiedover 2 years ago
- This dataset represents density of total fresh surface-water withdrawals in agricultural land within individual, local NHDPlusV2 catchments and upstream, contributing watersheds. Measured as L/day as described in DOI: 10.1016/j.scitotenv.2020.1376611Licence not specifiedover 2 years ago
- This dataset represents % of land without agricultural drainage, described in DOI: 10.1016/j.scitotenv.2020.137661, within individual, local NHDPlusV2 catchments and upstream, contributing watersheds.1Licence not specifiedover 2 years ago
- This dataset represents estimated surface water TN flux within individual, local NHDPlusV2 catchments and upstream, contributing watersheds. Measured as kg N/km2.1Licence not specifiedover 2 years ago
- This dataset represents density of all wastewater treatment plants within individual, local NHDPlusV2 catchments and upstream, contributing watersheds. Measured as number/ km2.1Licence not specifiedover 2 years ago
- This dataset represents predicted channel widths and depths from Doyle et al. 2023. Values include: Predicted wetted width: distance of the water’s edge from left to right bank, Predicted thalweg depth: deepest point in the channel cross section from the bottom substrate to the water surface, Predicted bankfull width: distance from left to right bank at bankfull stage where the potential water height would spill outside of the channel and into the floodplain, and Predicted bankfull depth: thalweg depth plus bankfull height, which is the height from the water surface to the bankfull stage.1Licence not specifiedover 2 years ago
- This dataset represents the impervious surface coefficients within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the National Land Cover Data. AOI boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-AOI boundaries and then links them through an off-network flow table. This data set is derived from the NLCD Impervious Surfaces raster which describes percent imperviousness (continuous data type). Values indicate the degree to which the area is composed of impervious anthropogenic materials (e.g., parking surfaces, roads, building roofs). This raster was produced based on a decision-tree classification of circa 2004 Landsat satellite data.1Licence not specifiedover 2 years ago
- This dataset represents the impervious surface coefficients within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the National Land Cover Data. AOI boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-AOI boundaries and then links them through an off-network flow table. This data set is derived from the NLCD Impervious Surfaces raster which describes percent imperviousness (continuous data type). Values indicate the degree to which the area is composed of impervious anthropogenic materials (e.g., parking surfaces, roads, building roofs). This raster was produced based on a decision-tree classification of circa 2013 Landsat satellite data.1Licence not specifiedover 2 years ago
- This dataset represents the impervious surface coefficients within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the National Land Cover Data. AOI boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-AOI boundaries and then links them through an off-network flow table. This data set is derived from the NLCD Impervious Surfaces raster which describes percent imperviousness (continuous data type). Values indicate the degree to which the area is composed of impervious anthropogenic materials (e.g., parking surfaces, roads, building roofs). This raster was produced based on a decision-tree classification of circa 2019 Landsat satellite data.1Licence not specifiedover 2 years ago
- This dataset represents the impervious surface coefficients within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the National Land Cover Data. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from the NLCD Impervious Surfaces raster(imp2006) which describes percent imperviousness (continuous data type). Values indicate the degree to which the area is composed of impervious anthropogenic materials (e.g., parking surfaces, roads, building roofs). This raster was produced based on a decision-tree classification of circa 2006 Landsat satellite data.1Licence not specifiedover 2 years ago
- This dataset represents geochemical or geophysical attributes in surface or near surface geology within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. For information regarding how the Landscape layers were created see https://www.sciencebase.gov/catalog/item/53481333e4b06f6ce034aae7. Landscape Layers are partitioned into 4 tables based on the location of no-data cells within their rasters to correctly reflect the PctFull attributes within each table.1Licence not specifiedover 2 years ago
- This dataset represents the historical fire perimeters within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the GeoMAC (Geospatial Multi-Agency Coordination) mapping tool. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. Fire perimeters contain data as they are submitted by field offices to GeoMAC (Geospatial Multi-Agency Coordination) in a polygon format. Fire perimeter data is based on input from incident intelligence sources, GPS data, infrared (IR) imagery from fixed wing and satellite platforms. Polygons are selected by year and then converted into a binary raster format where values of 1 represent fire perimeters of the given year and 0 describes the remaining areas across the CONUS, leaving No Data to be anything outside the CONUS border. The wildland fire characteristics (% forest loss to fire) were summarized by year to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents the elevation values within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the National Elevation Dataset. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. NHDPlusV2 records NED snapshot dates as follows: August 2010 - VPU04 February 2011 - VPUs 05, 06 June 2011 - VPU 17 August 2011 - VPUs 07, 10L, 10U, 11, 18 December 2011 - VPUs 01, 02, 03N, 03S, 03W, 08, 09, 12, 13, 14, 15, 16 The elevation characteristics were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents water input, measured as km2/cm: Ratio of the total area of irrigated land to precipitation within individual, local NHDPlusV2 catchments and upstream, contributing watersheds.1Licence not specifiedover 2 years ago
- This dataset represents % of land with agricultural drainage, described in DOI: 10.1016/j.scitotenv.2020.137661, within individual, local NHDPlusV2 catchments and upstream, contributing watersheds.1Licence not specifiedover 2 years ago
- This dataset represents net anthropogenic Nitrogen within individual, local NHDPlusV2 catchments and upstream, contributing watersheds.1Licence not specifiedover 2 years ago
- This dataset represents the density of nitrogen surplus as kg N / yr, excluding biological N Fixation, within individual, local NHDPlusV2 catchments and upstream, contributing watersheds.1Licence not specifiedover 2 years ago
- This dataset represents density of septic systems within individual, local NHDPlusV2 catchments and upstream, contributing watersheds. The data is based on the 1990 U.S. Census.1Licence not specifiedover 2 years ago
- This dataset represents estimated surface water TN load within individual, local NHDPlusV2 catchments and upstream, contributing watersheds. Measured as kg Nitrogen.1Licence not specifiedover 2 years ago
- This dataset represents density of major wastewater treatment plants within individual, local NHDPlusV2 catchments and upstream, contributing watersheds. Measured as number/ km2.1Licence not specifiedover 2 years ago
- This dataset represents density of minor wastewater treatment plants within individual, local NHDPlusV2 catchments and upstream, contributing watersheds. Measured as number/ km2.1Licence not specifiedover 2 years ago
- This dataset represents percent area consisting of Igneous and metamorphic-rock aquifers within individual, local NHDPlusV2 catchments and upstream, contributing watersheds.1Licence not specifiedover 2 years ago
- This dataset represents percent area consisting of sandstone and carbonate-rock aquifers within individual, local NHDPlusV2 catchments and upstream, contributing watersheds.1Licence not specifiedover 2 years ago
- This dataset represents percent area consisting of unconsolidated sand and gravel aquifers within individual, local NHDPlusV2 catchments and upstream, contributing watersheds.1Licence not specifiedover 2 years ago
- This dataset represents data derived from the NLCD dataset and the National Hydrography Dataset version 2.1(NHDPlusV2) (see Data Sources for links to NHDPlusV2 data and NLCD). Attributes were calculated for every local NHDPlusV2 catchment and accumulated watershed to provide watershed-level metrics for classes within the NLCD. This data set is derived from the NLCD raster composed of 16 land cover classes (categorical data type) for the conterminous USA. Four classes of the NLCD were excluded as they were specific to Alaska land covers. This raster was produced based on a decision-tree classification of circa 2019 Landsat satellite data (see Data Structure and Attribute Information for a description of each metric).1Licence not specifiedover 2 years ago
- This dataset represents percent area burned in each burn severity class for wildfires within individual, local NHDPlusV2 catchments and upstream, contributing watersheds for each year for 1984-2018.1Licence not specifiedover 2 years ago
- This dataset represents slope percent along stream within individual, local NHDPlusV2 catchments and upstream, contributing watersheds.1Licence not specifiedover 2 years ago
- This dataset represents percent area consisting of carbonate-rock aquifers within individual, local NHDPlusV2 catchments and upstream, contributing watersheds.1Licence not specifiedover 2 years ago
- This dataset represents predictions made to individual, local NHDPlusV2 stream segments. Attributes were calculated for every local NHDPlusV2 stream segment. (See Supplementary Info for Glossary of Terms) These predictions were made to provide estimates of reference-condition stream temperatures in support of the 2008-2009 and 2013-2014 (forthcoming) National Rivers and Streams Assessments. These predictions were based on a set of published models (Hill et al. 2013; http://www.journals.uchicago.edu/doi/abs/10.1899/12-009.1). From Hill et al. (2013): "We modeled 3 ecologically important elements of the thermal regime: mean summer, mean winter, and mean annual stream temperature. These models used a set of least-disturbed USGS stations and sites to model stream temperatures from a set of landscape metrics. To build reference-condition models, we used daily mean ST data obtained from several thousand US Geological Survey temperature sites distributed across the conterminous USA and iteratively modeled ST with Random Forests to identify sites in reference condition." These data are summarized to produce local stream segment-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents the road density within individual, local NHDPlusV2 catchments and upstream, contributing watersheds. Attributes of the landscape layer were calculated for every local NHDPlusV2 catchment and accumulated to provide watershed-level metrics. This data set is derived from TIGER/Line Files of roads in the conterminous United States. Road density describes how many kilometers of road exist in a square kilometer. A raster was produced using the ArcGIS Line Density Tool to form the landscape layer for analysis. The (kilometer of road/square kilometer) was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents the percent of non-agricultural, non-native vegetation based on LANDFIRE existing vegetation type (EVT) for a 30-m grid cell within individual local NHDPlusV2 catchments and upstream, contributing watersheds based on field reference data and Landsat, elevation, and ancillary data. EVTs are mapped using decision tree models, field data, Landsat imagery, elevation, and biophysical gradient data. Decision tree models are developed separately for each of the three lifeforms -tree, shrub, and herbaceous and are then used to generate lifeform specific EVT layers. The LF-GAP Map Units Descriptions provide descriptions for each LF EVT including species, distribution and classification information. Vegetation map units are primarily derived from NatureServe's Ecological Systems classification, alliances of the U.S. National Vegetation Classification (USNVC), and the National Land Cover Database and LF specific types. LANDFIRE EVT groups were reclassified into introduced managed vegetation cover where EVT_GP = (701,702,703,704,705,706,707,708,709,711,731).1Licence not specifiedover 2 years ago
- This dataset represents the percent of non-agricultural, non-native vegetation based on LANDFIRE existing vegetation type (EVT) for a 30-m grid cell within individual local NHDPlusV2 catchments and upstream, contributing watersheds based on field reference data and Landsat, elevation, and ancillary data (See Supplementary Info for Glossary of Terms). EVTs are mapped using decision tree models, field data, Landsat imagery, elevation, and biophysical gradient data. Decision tree models are developed separately for each of the three lifeforms -tree, shrub, and herbaceous and are then used to generate lifeform specific EVT layers. The LF-GAP Map Units Descriptions provide descriptions for each LF EVT including species, distribution and classification information. Vegetation map units are primarily derived from NatureServe's Ecological Systems classification, alliances of the U.S. National Vegetation Classification (USNVC), and the National Land Cover Database and LF specific types. LANDFIRE EVT groups were reclassified into introduced managed vegetation cover where EVT_GP = (701,702,703,704,705,706,707,708,709,711,731).1Licence not specifiedover 2 years ago
- This dataset represents data derived from the NLCD dataset and the National Hydrography Dataset version 2.1(NHDPlusV2) (see Data Sources for links to NHDPlusV2 data and NLCD). Attributes were calculated for every local NHDPlusV2 catchment and accumulated watershed to provide watershed-level metrics for classes within the NLCD. This data set is derived from the NLCD raster composed of 16 land cover classes (categorical data type) for the conterminous USA. Four classes of the NLCD were excluded as they were specific to Alaska land covers. This raster was produced based on a decision-tree classification of circa 2011 Landsat satellite data (see Data Structure and Attribute Information for a description of each metric).1Licence not specifiedover 2 years ago
- This dataset represents data derived from the NLCD dataset and the National Hydrography Dataset version 2.1(NHDPlusV2) (see Data Sources for links to NHDPlusV2 data and NLCD). Attributes were calculated for every local NHDPlusV2 catchment and accumulated watershed riparian buffers to provide watershed-level metrics for classes within the NLCD. This data set is derived from the NLCD raster composed of 16 land cover classes (categorical data type) for the conterminous USA. Four classes of the NLCD were excluded as they were specific to Alaska land covers. This raster was produced based on a decision-tree classification of circa 2001 Landsat satellite data.1Licence not specifiedover 2 years ago
- This dataset represents climate observations within individual, local NHDPlusV2 catchments and upstream, contributing watersheds. Attributes of the landscape layer were calculated for every local NHDPlusV2 catchment and accumulated to provide watershed-level metrics. PRISM is a set of monthly, yearly, and single-event gridded data products of mean temperature and precipitation, max/min temperatures, and dewpoints, primarily for the United States. In-situ point measurements are ingested into the PRISM (Parameter elevation Regression on Independent Slopes Model) statistical mapping system. The PRISM products use a weighted regression scheme to account for complex climate regimes associated with orography, rain shadows, temperature inversions, slope aspect, coastal proximity, and other factors. These data are summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset consists of predicted probabilities of good biological condition based in the US EPA 2008/2009 National Rivers and Streams Assessment (NRSA). NRSA assesses the biological condition of rivers and streams using several approaches, including a benthic invertebrate multimetric index (BMMI). The development of the NRSA BMMI is documented in the 2008/2009 NRSA Report (https://www.epa.gov/national-aquatic-resource-surveys/national-rivers-and-streams-assessment-2008-2009-results) and by Stoddard et al. (2008) (http://www.bioone.org/doi/abs/10.1899/08-053.1). This assessment resulted in the classification of 1,380 streams as being in good or poor biological condition. These sites were paired with StreamCat data and a random forest model was developed to predict the probable condition of streams based on the binary response of condition to catchment and watershed features. This model was then applied to NHDPlusV2 stream segments that were within the NRSA sampling frame, i.e., streams that were candidates for sampling during the 2008/2009 NRSA (~1.1 million stream segments). Model development was documented in Fox et al. (2017) (https://link.springer.com/article/10.1007/s10661-017-6025-0) and Hill et al. (2017)(http://onlinelibrary.wiley.com/doi/10.1002/eap.1617/full).1Licence not specifiedover 2 years ago
- This dataset represents the road density within individual, local NHDPlusV2 catchments and upstream, contributing watersheds riparian buffers. Attributes of the landscape layer were calculated for every local NHDPlusV2 catchment and accumulated to provide watershed-level metrics. This data set is derived from TIGER/Line Files of roads in the conterminous United States. Road density describes how many kilometers of road exist in a square kilometer. A raster was produced using the ArcGIS Line Density Tool to form the landscape layer for analysis. (see Data Sources for links to NHDPlusV2 data and Census Data) The (kilometer of road/square kilometer) was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents climate observations throughout the years 2008-09 within individual local NHDPlusV2 catchments and upstream, contributing watersheds based on the Composite Topographic Index. PRISM is a set of monthly, yearly, and single-event gridded data products of mean temperature and precipitation, max/min temperatures, and dewpoints, primarily for the United States. In-situ point measurements are ingested into the PRISM (Parameter elevation Regression on Independent Slopes Model) statistical mapping system. The PRISM products use a weighted regression scheme to account for complex climate regimes associated with orography, rain shadows, temperature inversions, slope aspect, coastal proximity, and other factors. (see Data Sources for links to NHDPlusV2 data and USGS Data) These data were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents the pesticide use within individual, local NHDPlusV2 catchments and upstream, contributing watersheds. Attributes of the landscape layer were calculated for every local NHDPlusV2 catchment and accumulated to provide watershed-level metrics. This data set is derived from 219, 1-kilometer (km) resolution grids depicting estimated agricultural use of each pesticide in the conterminous United States. Each grid cell value in the national grids of this dataset is the estimated total kilograms (kg) of pesticides applied to row crops, small grain crops and fallow land, pasture and hay crops, and orchard and vineyard crops within the 1- by 1-km area. A single raster was produced using the Raster Calculator Tool adding all 219 grids to form the landscape layer for analysis. (see Data Sources for links to NHDPlusV2 data and USGS Data) The (kilograms of pesticides/square kilometer) was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents data derived from the NLCD dataset and the National Hydrography Dataset version 2.1(NHDPlusV2) (see Data Sources for links to NHDPlusV2 data and NLCD). Attributes were calculated for every local NHDPlusV2 catchment and accumulated watershed riparian buffers to provide watershed-level metrics for classes within the NLCD. This data set is derived from the NLCD raster composed of 16 land cover classes (categorical data type) for the conterminous USA. Four classes of the NLCD were excluded as they were specific to Alaska land covers. This raster was produced based on a decision-tree classification of circa 2011 Landsat satellite data.1Licence not specifiedover 2 years ago
- This dataset represents data derived from the NLCD dataset and the National Hydrography Dataset version 2.1(NHDPlusV2) (see Data Sources for links to NHDPlusV2 data and NLCD). Attributes were calculated for every local NHDPlusV2 catchment and accumulated to provide watershed-level metrics for classes within the NLCD and within a 100-m buffer of the NHDPlusV2 stream lines. This data set is derived from the NLCD raster composed of 16 land cover classes (categorical data type) for the conterminous USA. Four classes of the NLCD were excluded as they were specific to Alaska land covers. This raster was produced based on a decision-tree classification of circa 2006 Landsat satellite data.(see Data Structure and Attribute Information for a description of each metric). The NHDPlusV2 stream lines were buffered to create a mask that was used to constrain calculations of NLCD metrics to within 100-m of NHDPlus stream lines.1Licence not specifiedover 2 years ago
- This dataset represents data derived from the NLCD dataset and the National Hydrography Dataset version 2.1(NHDPlusV2) (see Data Sources for links to NHDPlusV2 data and NLCD). Attributes were calculated for every local NHDPlusV2 catchment and accumulated watershed to provide watershed-level metrics for classes within the NLCD. This data set is derived from the NLCD raster composed of 16 land cover classes (categorical data type) for the conterminous USA. Four classes of the NLCD were excluded as they were specific to Alaska land covers. This raster was produced based on a decision-tree classification of circa 2001 Landsat satellite data (see Data Structure and Attribute Information for a description of each metric).1Licence not specifiedover 2 years ago
- This dataset represents the mine density within individual, local NHDPlusV2 catchments and upstream, contributing watersheds riparian buffers based on mine plants and operations monitored by the USGS National Minerals Information Center. The National Minerals Information Center canvasses the nonfuel mining and mineral-processing industry in the United States for data on mineral production, consumption, recycling, stocks, and shipments. Mine plants and operations for commodities are expressed as points in a shapefile that was downloaded from the USGS directly. The (mines / catchment) were summarized and accumulated into watersheds to produce local catchment-level and watershed-level metrics as a point data type.1Licence not specifiedover 2 years ago
- This dataset represents the mine density within individual, local NHDPlusV2 catchments and upstream, contributing watersheds based on mine plants and operations monitored by the USGS National Minerals Information Center. The National Minerals Information Center canvasses the nonfuel mining and mineral-processing industry in the United States for data on mineral production, consumption, recycling, stocks, and shipments. Mine plants and operations for commodities are expressed as points in a shapefile that was downloaded from the USGS directly. The (mines / catchment) were summarized and accumulated into watersheds to produce local catchment-level and watershed-level metrics as a point data type.1Licence not specifiedover 2 years ago
- This dataset represents the historical fire perimeters within individual local NHDPlusV2 catchments and upstream, contributing watersheds riparian buffers based on the GeoMAC (Geospatial Multi-Agency Coordination) mapping tool. Fire perimeters contain data as they are submitted by field offices to GeoMAC (Geospatial Multi-Agency Coordination) in a polygon format. Fire perimeter data is based on input from incident intelligence sources, GPS data, infrared (IR) imagery from fixed wing and satellite platforms. Polygons are selected by year and then converted into a binary raster format where values of 1 represent fire perimeters of the given year and 0 describes the remaining areas across the CONUS, leaving No Data to be anything outside the CONUS border. The wildland fire characteristics (% forest loss to fire) were summarized by year to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents the estimated density of georeferenced sites within individual, local NHDPlusV2 catchments and upstream, contributing watersheds riparian buffers based on the EPA's Facility Registry Services (FRS) geodatabase. Attributes of the landscape layer were calculated for every local NHDPlusV2 catchment and then accumulated to provide watershed-level metrics. The FRS geodatabase is a collection of point locations of facilities or sites subject to environmental regulation. TRI, NPDES, and Superfund sites were extracted individually to summarize for each in the resulting .csv. (see Data Sources for links to NHDPlusV2 data and FRS data) The (site locations / catchment) were summarized and accumulated into watersheds to produce local catchment-level and watershed-level metrics as a points data type (see Data Structure and Attribute Information for a description of each metric).1Licence not specifiedover 2 years ago
- This dataset represents the dam density and storage volumes within individual, local NHDPlusV2 catchments and upstream, contributing watersheds based on National Inventory of Dams (NID) data. Attributes were calculated for every local NHDPlusV2 catchment and accumulated to provide watershed-level metrics.(See Supplementary Info for Glossary of Terms) The NID database contains information about the dam’s location, size, purpose, type, last inspection, regulatory facts, and other technical data. Structures on streams reduce the longitudinal and lateral hydrologic connectivity of the system. For example, impoundments above dams slow stream flow, cause deposition of sediment and reduce peak flows. Dams change both the discharge and sediment supply of streams, causing channel incision and bed coarsening downstream. Downstream areas are often sediment deprived, resulting in degradation, i.e., erosion of the stream bed and stream banks. This database was improved upon by locations verified by work from the USGS National Map (Jeff Simley Group). It was observed that some dams, some of them major and which do exist, were not part of the 2009 NID, but were represented in the USGS National Map dataset, and had been in the 2006 NID. Approximately 1,100 such dams were added, based on the USGS National Map lat/long and the 2006 NID attributes (dam height, storage, etc.) Finally, as clean-up, a) about 600 records with duplicate NIDID were removed, and b) about 300 records were removed which represented the same location of the same dam but with a different NIDID, for the largest dams (did visual check of dams with storage above 5000 acre feet and are likely duplicated - about the 10,000 largest dams) . The (dams/catchment) and (dam_storage/catchment) were summarized and accumulated into watersheds to produce local catchment-level and watershed-level metrics as a point data type.1Licence not specifiedover 2 years ago
- This dataset represents the base flow index values within individual, local NHDPlusV2 catchments and upstream, contributing watersheds. Attributes of the landscape layer were calculated for every local NHDPlusV2 catchment and accumulated to provide watershed-level metrics. The base-flow index (BFI) grid for the conterminous United States was developed to estimate (1) BFI values for ungaged streams, and (2) ground-water recharge throughout the conterminous United States (see Source_Information). Estimates of BFI values at ungaged streams and BFI-based ground-water recharge estimates are useful for interpreting relations between land use and water quality in surface and ground water. The bfi (%) was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents surplus precipitation (mm): precipitation minus potential evaporation described in DOI: 10.1016/j.scitotenv.2020.137661 within individual, local NHDPlusV2 catchments and upstream, contributing watersheds.1Licence not specifiedover 2 years ago
- This dataset represents the land cover data within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the NLCD. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from the NLCD raster composed of 16 land cover classes (categorical data type) for the conterminous USA. Four classes of the NLCD were excluded as they were specific to Alaska land covers. This raster was produced based on a decision-tree classification of circa 2019 Landsat satellite data.1Licence not specifiedover 2 years ago
- This dataset represents the land cover data within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the NLCD. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from the NLCD raster composed of 16 land cover classes (categorical data type) for the conterminous USA. Four classes of the NLCD were excluded as they were specific to Alaska land covers. This raster was produced based on a decision-tree classification of circa 2008 Landsat satellite data.1Licence not specifiedover 2 years ago
- This dataset represents the estimated surface water runoff within individual, local NHDPlusV2 catchments and upstream, contributing watersheds. Attributes of the landscape layer were calculated for every local NHDPlusV2 catchment and then accumulated to provide watershed-level metrics.(see Data Sources for links to NHDPlusV2 data and metadata) The landscape layer (raster) was developed with a water-balance model developed by Dave Wolock of the USGS and is detailed further in the paper "Independent effects of temperature and precipitation on modeled runoff in the conterminous United States". McCabe and Wolock[2011] Runoff is defined as the flow per unit area delivered to streams and rivers in units of millimeters per month. The runoff estimates were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents the base flow index values within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The base-flow index (BFI) grid for the conterminous United States was developed to estimate (1) BFI values for ungaged streams, and (2) ground-water recharge throughout the conterminous United States (see Source_Information). Estimates of BFI values at ungaged streams and BFI-based ground-water recharge estimates are useful for interpreting relations between land use and water quality in surface and ground water. The bfi (%) was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents the application of nitrogen within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the EnviroAtlas. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. These data are based on county-scale estimates of N in the form of fertilizer, manure, or cultivated biological nitrogen fixation. The rasters used for this analysis were prepared by EnviroAtlas but not distributed. Links to data in each raster can be found in Data Sources below. The nitrogen characteristics (kg N/ha/yr) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents the dam density and storage volumes within individual, local NHDPlusV2 catchments and upstream, contributing watersheds based on the National Anthropogenic Barrier Dataset (NABD). Attributes were calculated for every local NHDPlusV2 catchment and accumulated to provide watershed-level metrics. The main objective of this project was to develop a dataset of large, anthropogenic barriers that are spatially linked to the National Hydrography Dataset Plus Version 1 (NHDPlusV1) for the conterminous U.S. to facilitate GIS analyses based on the NHDPlusV1/NHD and NID datasets. To meet this objective, Michigan State University conducted a spatial linkage of the point dataset of the 2009 National Inventory of Dams (NID) created by the U.S. Army Corps of Engineers (USACE) to the NHDPlusV1/NHD. The pool of dam data included were modified based on 1) dam removals that occurred after development of the 2009 NID and 2) the identification of duplicate dam records along state boundaries (cases where more than one state reported the same dam). The US Geological Survey (USGS) Aquatic GAP Program supported this work. The (dams/catchment) and (dam_storage/catchment) were summarized and accumulated into watersheds to produce local catchment-level and watershed-level metrics as a point data type.1Licence not specifiedover 2 years ago
- This dataset represents the density of 18 USGS lithology classes within individual, local NHDPlusV2 catchments and upstream, contributing watersheds(see Data Sources for links to NHDPlusV2 data and USGS). Attributes were calculated for every local NHDPlusV2 catchment and then accumulated to provide watershed-level metrics for USGS lithology data. This data set is derived from the USGS raster map of 18 lithology classes (categorical data type) for the conterminous USA. The map was produced based on texture, internal structure, thickness, and environment of deposition or formation of materials. These 18 lithology classes were summarized by local catchment and by watershed to produce 18 local catchment-level and watershed-level metrics as a categorical data type.1Licence not specifiedover 2 years ago
- This dataset represents the adjusted soil erodibility factor within individual, local NHDPlusV2 catchments and upstream, contributing watersheds. Attributes of the landscape layer were calculated for every local NHDPlusV2 catchment and accumulated to provide watershed-level metrics. (See Supplementary Info for Glossary of Terms) The STATSGO Layer table specifies two soil erodibility factors for each component layer, KFFACT and KFACT. The STATSGO documentation describes KFFACT as a soil erodibility factor which "quantifies the susceptibility of soil particles to detachment and movement by water. This factor is used in the Universal Soil Loss Equation to calculate soil loss by water." KFACT is described as a soil erodibility factor which is "adjusted for the effect of rock fragments." The average value of each of these soil erodibility factors was determined for the top (surface) layer for each map unit of each state. The base-flow index (BFI) grid for the conterminous United States was developed to estimate (1) BFI values for ungaged streams, and (2) ground-water recharge throughout the conterminous United States (see Data Source). Estimates of BFI values at ungaged streams and BFI-based ground-water recharge estimates are useful for interpreting relations between land use and water quality in surface and ground water. The soil erodibility factor was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents data derived from the NLCD dataset and the National Hydrography Dataset version 2.1(NHDPlusV2) (see Data Sources for links to NHDPlusV2 data and NLCD). Attributes were calculated for every local NHDPlusV2 catchment and accumulated upstream catchments to provide watershed-level metrics for imperviousness values within the NLCD. This data set is derived from the NLCD Impervious Surfaces raster(imp2011) which describes percent imperviousness (continuous data type). Values indicate the degree to which the area is composed of impervious anthropogenic materials (e.g., parking surfaces, roads, building roofs). This raster was produced based on a decision-tree classification of circa 2011 Landsat satellite data.(see Data Structure and Attribute Information for a description of each metric).1Licence not specifiedover 2 years ago
- This dataset represents geochemical or geophysical attributes in surface or near surface geology within individual, local NHDPlusV2 catchments and upstream, contributing watersheds. Attributes of the landscape layer were calculated for every local NHDPlusV2 catchment and accumulated to provide watershed-level metrics For information regarding how the Landscape layers were created see https://www.sciencebase.gov/catalog/item/53481333e4b06f6ce034aae7. Landscape Layers are partitioned into 4 tables based on the location of no-data cells within their rasters to correctly reflect the PctFull attributes within each table.1Licence not specifiedover 2 years ago
- This dataset represents data derived from the NLCD dataset and the National Hydrography Dataset version 2.1(NHDPlusV2) (see Data Sources for links to NHDPlusV2 data and NLCD). Attributes were calculated for every local NHDPlusV2 catchment and accumulated upstream catchments to provide watershed-level metrics for imperviousness values within the NLCD. This data set is derived from the NLCD Impervious Surfaces raster(imp2006) which describes percent imperviousness (continuous data type). Values indicate the degree to which the area is composed of impervious anthropogenic materials (e.g., parking surfaces, roads, building roofs). This raster was produced based on a decision-tree classification of circa 2006 Landsat satellite data.1Licence not specifiedover 2 years ago
- This dataset represents the characterization of global forest extent and change by year from 2001 through 2013 within individual local NHDPlusV2 catchments and upstream, contributing watersheds riparian buffers based on the Global Forest Change 2000–2013. These data are based on global tree cover loss for the period from 2001 to 2013 at a spatial resolution of 30m. The analysis used to create the landscape layer is based on Landsat data. Forest loss was defined as a stand-replacement disturbance or the complete removal of tree cover canopy at the Landsat pixel scale. This landscape layer is a disaggregation of total forest loss to annual time scales. Encoded as either 0 (no loss) or else a value in the range 1–13, representing loss detected primarily in the year 2001–2013, respectively. The forest loss by year characteristics (%) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents the historical fire perimeters within individual local NHDPlusV2 catchments and upstream, contributing watersheds based on the GeoMAC (Geospatial Multi-Agency Coordination) mapping tool. Fire perimeters contain data as they are submitted by field offices to GeoMAC (Geospatial Multi-Agency Coordination) in a polygon format. Fire perimeter data is based on input from incident intelligence sources, GPS data, infrared (IR) imagery from fixed wing and satellite platforms. Polygons are selected by year and then converted into a binary raster format where values of 1 represent fire perimeters of the given year and 0 describes the remaining areas across the CONUS, leaving No Data to be anything outside the CONUS border. The wildland fire characteristics (% forest loss to fire) were summarized by year to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents the elevation values within individual local NHDPlusV2 catchments and upstream, contributing watersheds based on the National Elevation Dataset (see Data Sources for links to NHDPlusV2 data and NED data). NHDPlusV2 records NED snapshot dates as follows: August 2010 - VPU04 February 2011 - VPUs 05, 06 June 2011 - VPU 17 August 2011 - VPUs 07, 10L, 10U, 11, 18 December 2011 - VPUs 01, 02, 03N, 03S, 03W, 08, 09, 12, 13, 14, 15, 16 The elevation characteristics were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents the coal mine density and storage volumes within individual, local NHDPlusV2 catchments and upstream, contributing watersheds based on the National Coal Resource Dataset System (NCRDS). Attributes of the landscape layer were calculated for every local NHDPlusV2 catchment and accumulated to provide watershed-level metrics. The National Coal Resources Data System (NCRDS) began as a cooperative venture between the USGS and State geological agencies in 1975 and focused on the stratigraphy and chemistry of coal. Web pages have been developed to query data within both the USCOAL database and a subset of the USCHEM database. The USTRAT database, due to it’s size and complexity, was first made available in 2011 for direct query through web pages The (coal mine sites/AreaSqKm) were summarized and accumulated into watersheds to produce local catchment-level and watershed-level metrics as a point data type.1Licence not specifiedover 2 years ago
- This dataset represents the canal density within individual, local NHDPlusV2 catchments and upstream, contributing watersheds. Attributes of the landscape layer were calculated for every local NHDPlusV2 catchment and accumulated to provide watershed-level metrics. This data set is derived from NHDPlusV2 line features classified as canal, ditch, or pipeline in the conterminous United States. Canal density describes how many kilometers of canal exist in a square kilometer. A raster was produced using the ArcGIS Line Density Tool to form the landscape layer for analysis. The (kilometer of canal/square kilometer) was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents the land cover data within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the NLCD. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from the NLCD raster composed of 16 land cover classes (categorical data type) for the conterminous USA. Four classes of the NLCD were excluded as they were specific to Alaska land covers. This raster was produced based on a decision-tree classification of circa 2001 Landsat satellite data.1Licence not specifiedover 2 years ago
- This dataset represents the land cover data within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the NLCD. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from the NLCD raster composed of 16 land cover classes (categorical data type) for the conterminous USA. Four classes of the NLCD were excluded as they were specific to Alaska land covers. This raster was produced based on a decision-tree classification of circa 2004 Landsat satellite data.1Licence not specifiedover 2 years ago
- This dataset represents the land cover data within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the NLCD. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from the NLCD raster composed of 16 land cover classes (categorical data type) for the conterminous USA. Four classes of the NLCD were excluded as they were specific to Alaska land covers. This raster was produced based on a decision-tree classification of circa 2013 Landsat satellite data.1Licence not specifiedover 2 years ago
- This dataset represents the data derived from the NLCD dataset and the National Hydrography Dataset version 2.1(NHDPlusV2) within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies (See Supplementary Info for Glossary of Terms). Attributes were calculated for every local NHDPlusV2 catchment and accumulated to provide watershed-level metrics for agricultural classes (classes 81 and 82) within the NLCD on DEM-derived slopes >10% and >20%. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from the NLCD raster composed of 16 land cover classes (categorical data type) for the conterminous USA. 2 classes were isolated to represent apricultural land cover. This raster was produced based on a decision-tree classification of circa 2006 Landsat satellite data. Included with NHDPlusV2 is the National Elevation Dataset (NED) which was used to create 2 slope rasters to find areas with slope >10% and >20%. These rasters were used as masks to locate areas where NLCD agricultural classes (classes 81 and 82) occur on slopes >10% and >20%.1Licence not specifiedover 2 years ago
- This dataset represents the dam density and storage volumes within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the National Inventory of Dams (NID). Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The NID database contains information about the dam’s location, size, purpose, type, last inspection, regulatory facts, and other technical data. Structures on streams reduce the longitudinal and lateral hydrologic connectivity of the system. For example, impoundments above dams slow stream flow, cause deposition of sediment and reduce peak flows. Dams change both the discharge and sediment supply of streams, causing channel incision and bed coarsening downstream. Downstream areas are often sediment deprived, resulting in degradation, i.e., erosion of the stream bed and stream banks. This database was improved upon by locations verified by work from the USGS National Map (Jeff Simley Group). It was observed that some dams, some of them major and which do exist, were not part of the 2009 NID, but were represented in the USGS National Map dataset, and had been in the 2006 NID. Approximately 1,100 such dams were added, based on the USGS National Map lat/long and the 2006 NID attributes (dam height, storage, etc.) Finally, as clean-up, a) about 600 records with duplicate NIDID were removed, and b) about 300 records were removed which represented the same location of the same dam but with a different NIDID, for the largest dams (did visual check of dams with storage above 5000 acre feet and are likely duplicated - about the 10,000 largest dams). The (dams/catchment) and (dam_storage/catchment) were summarized and accumulated into watersheds to produce local catchment-level and watershed-level metrics as a point data type.1Licence not specifiedover 2 years ago
- These rasters were created to improve upon the NHDPlusV2 framework for characterizing landscape features to lakes across the CONUS. There are 59 rasters created in LakeCat to represent local area catchments for each waterbody that is found to be off-network in every Raster Processing Unit (RPU). The file name indicates the RPU that the file was generated from (wtshed_xxx.tif , where xxx is the rpu). These are the output of the ESRI Watershed tool with a rasterized version of off-network lakes and the flow directon raster delivered in the NHDPlusV2. Each of these zones describe the local catchment of each off-network lake and are used to characterize landscape features in the same way that is done in StreamCat. A flow network was created (see LakeCat_Processing) to link zones that flow to another. This flow network is supplemental to all of the lakes that were found to be off-network and provides the flow path between zones to accumulate characterizations in LakeCat to a watershed level.1Licence not specifiedover 2 years ago
- This dataset represents the estimated surface water runoff within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The landscape layer (raster) was developed with a water-balance model developed by Dave Wolock of the USGS and is detailed further in the paper "Independent effects of temperature and precipitation on modeled runoff in the conterminous United States". McCabe and Wolock[2011] Runoff is defined as the flow per unit area delivered to streams and rivers in units of millimeters per month. The runoff estimates were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents the road density within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from TIGER/Line Files of roads in the conterminous United States. Road density describes how many kilometers of road exist in a square kilometer. A raster was produced using the ArcGIS Line Density Tool to form the landscape layer for analysis. The (kilometer of road/square kilometer) was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents climate observations throughout the years 2008-09 within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the Composite Topographic Index. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. PRISM is a set of monthly, yearly, and single-event gridded data products of mean temperature and precipitation, max/min temperatures, and dewpoints, primarily for the United States. In-situ point measurements are ingested into the PRISM (Parameter elevation Regression on Independent Slopes Model) statistical mapping system. The PRISM products use a weighted regression scheme to account for complex climate regimes associated with orography, rain shadows, temperature inversions, slope aspect, coastal proximity, and other factors. These data were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents the pesticide use within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from 219, 1-kilometer (km) resolution grids depicting estimated agricultural use of each pesticide in the conterminous United States. Each grid cell value in the national grids of this dataset is the estimated total kilograms (kg) of pesticides applied to row crops, small grain crops and fallow land, pasture and hay crops, and orchard and vineyard crops within the 1- by 1-km area. A single raster was produced using the Raster Calculator Tool adding all 219 grids to form the landscape layer for analysis. (see Data Sources for links to NHDPlusV2 data and USGS Data) The (kilograms of pesticides/square kilometer) was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents land cover data within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the NLCD. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from the NLCD raster composed of 16 land cover classes (categorical data type) for the conterminous USA. Four classes of the NLCD were excluded as they were specific to Alaska land covers. This raster was produced based on a decision-tree classification of circa 2011 Landsat satellite data.1Licence not specifiedover 2 years ago
- This dataset represents deposition estimates of nutrients within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the National Atmospheric Deposition Program. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The National Trends Network provides long-term records of precipitation chemistry across the United States. Individual rasters describe ammonium, nitrate, inorganic nitrogen, and average sulfur/nitrogen deposition per year. See Source Info for links to NADP. The nitrogen and sulfur characteristics (kg N/ha/yr) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents the density of 18 USGS lithology classes within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from the USGS raster map of 18 lithology classes (categorical data type) for the conterminous USA. The map was produced based on texture, internal structure, thickness, and environment of deposition or formation of materials. These 18 lithology classes were summarized by local catchment and by watershed to produce 18 local catchment-level and watershed-level metrics as a categorical data type.1Licence not specifiedover 2 years ago
- This dataset represents the population and housing unit density within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the 2010 US Census data (See Supplementary Info for Glossary of Terms). Densities are calculated for every block group and watershed averages are calculated for every local NHDPlusV2 catchment. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from The TIGER/Line Files and related database (.dbf) files for the conterminous USA. It was downloaded as Block Group-Level Census 2010 SF1 Data in File Geodatabase Format (ArcGIS version 10.0). The landscape raster (LR) was produced based on the data compiled from the questions asked of all people and about every housing unit. The (block-group population / block group area) and (block-group housing units / block group area) were summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents the density of road and stream crossings within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The landscape layer (raster) was developed by James Falcone of the USGS. US Census TIGER 2000 line files of roads and the NHDPlusV1 line files of all streams were converted to 30-meter grids where the presence of a street or stream was a 1 and everything else a 0. These were intersected and anything that was a 1 in both grids is the result. The density of road and stream crossings (crossings / square kilometer) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents climate observations within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the PRISM Climate Group. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. PRISM is a set of monthly, yearly, and single-event gridded data products of mean temperature and precipitation, max/min temperatures, and dewpoints, primarily for the United States. In-situ point measurements are ingested into the PRISM (Parameter elevation Regression on Independent Slopes Model) statistical mapping system. The PRISM products use a weighted regression scheme to account for complex climate regimes associated with orography, rain shadows, temperature inversions, slope aspect, coastal proximity, and other factors. (see Data Sources for links to NHDPlusV2 data and USGS Data) These data are summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents the average height of the dominant vegetation for a 30-m grid cell within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on field reference data and Landsat, elevation, and ancillary data. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The Existing Vegetation Type (EVT) layer represents the species composition currently present at a given site. Vegetation map units are primarily derived from NatureServe's Ecological Systems classification, which is a nationally consistent set of mid-scale ecological units. Additional units are derived from NLCD, National Vegetation Classification Standard (NVCS) Alliances, and LANDFIRE specific types. - Reclassified into introduced managed vegetation cover - IntrodManagVeg class - reclass from EVT - groups (EVT_GP) = (701,702,703,704,705,706,707,708,709,711,731) Canopy height is generated separately for tree, shrub and herbaceous lifeforms using training data and other layers. EVH is determined by the average height weighted by species cover and based on the existing vegetation type (EVT) lifeform. Decision tree models using field reference data and Landsat, elevation, and ancillary data are developed separately for each lifeform. Decision tree relationships are used to generate lifeform specific height class layers, which are merged into a single composite EVH layer. The vegetation characteristics (%) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- This dataset represents the land cover data within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the NLCD. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from the NLCD raster composed of 16 land cover classes (categorical data type) for the conterminous USA. Four classes of the NLCD were excluded as they were specific to Alaska land covers. This raster was produced based on a decision-tree classification of circa 2006 Landsat satellite data.1Licence not specifiedover 2 years ago
- This dataset represents the dam density and storage volumes within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the National Anthropogenic Barrier Dataset (NABD). Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The main objective of this project was to develop a dataset of large, anthropogenic barriers that are spatially linked to the National Hydrography Dataset Plus Version 1 (NHDPlusV1) for the conterminous U.S. to facilitate GIS analyses based on the NHDPlusV1/NHD and NID datasets. To meet this objective, Michigan State University conducted a spatial linkage of the point dataset of the 2009 National Inventory of Dams (NID) created by the U.S. Army Corps of Engineers (USACE) to the NHDPlusV1/NHD. The pool of dam data included were modified based on 1) dam removals that occurred after development of the 2009 NID and 2) the identification of duplicate dam records along state boundaries (cases where more than one state reported the same dam). The US Geological Survey (USGS) Aquatic GAP Program supported this work. The (dams/catchment) and (dam_storage/catchment) were summarized and accumulated into watersheds to produce local catchment-level and watershed-level metrics as a point data type.1Licence not specifiedover 2 years ago
- This dataset represents the adjusted soil erodibility factor within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the NRCS State Soil Geographic data. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The STATSGO Layer table specifies two soil erodibility factors for each component layer, KFFACT and KFACT. The STATSGO documentation describes KFFACT as a soil erodibility factor which "quantifies the susceptibility of soil particles to detachment and movement by water. This factor is used in the Universal Soil Loss Equation to calculate soil loss by water." KFACT is described as a soil erodibility factor which is "adjusted for the effect of rock fragments." The average value of each of these soil erodibility factors was determined for the top (surface) layer for each map unit of each state. The base-flow index (BFI) grid for the conterminous United States was developed to estimate (1) BFI values for ungaged streams, and (2) ground-water recharge throughout the conterminous United States. Estimates of BFI values at ungaged streams and BFI-based ground-water recharge estimates are useful for interpreting relations between land use and water quality in surface and ground water. The soil erodibility factor was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.1Licence not specifiedover 2 years ago
- The Database of Sources of Environmental Releases of Dioxin-like Compounds in the United States was developed by EPA to be a repository of certain specific chlorinated dibenzo-p-dioxin/dibenzofuran (CDD/CDF) emissions data from all known sources in the US. The database contains information that can be analyzed to track emissions of CDD/CDF over time, compare specific profiles between and among source categories, and develop source specific emission factors that can then be used to develop emission estimates.1Licence not specifiedover 2 years ago
- Title 40 is the section of the Code of Federal Regulations (CFR) that deals with EPA's mission of protecting human health and the environment. This web page provides direct links to Title 40 of the CFR.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- Contains information about facilities or sites subject to environmental regulation, including key facility information along with associated environmental interests for use in mapping and reporting applications.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Substance Registry Services (SRS) is the authoritative resource for basic information about substances of interest to the U.S. EPA and its state and tribal partners. Substances, particularly chemicals, can have many valid synonyms. For example, toluene, methyl benzene, and phenyl methane, are commonly used names for the same chemical. EPA programs collect environmental data for this chemical using each of these names, plus others. This diversity leads to problems when a user is looking for programmatic data for toluene but is unaware that the data is stored under the synonym methyl benzene. For each substance, the SRS identifies the statutes, EPA programs, as well as organization external to EPA, that track or regulate that substance and the synonym used by that statute, EPA program or external organization. Besides standardized information for each chemical, such as the Chemical Abstracts Services name and the Chemical Abstracts Number and the EPA Registry Name (the EPA standard name), the SRS also includes additional information, such as molecular weight and molecular formula. Additionally, an SRS Internal Tracking Number uniquely identifies each substance, enabling cross-walking between synonyms. EPA is providing a large .ZIP file providing the SRS data in CSV format, and a separate small metadata file in XML containing the field names and definitions.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) widget returns facilities in a user-specified area of interest that report to more than one EPA program system as reported by the Facility Registry System1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Reasonable Accommodation Information Tracking System (RAITS) is a case management system that allows the National Reasonable Accommodation Coordinator (NRAC) and the Local Reasonable Accommodation Coordinators (LORAC) to manage information related to Reasonable Accommodation (RA) requests. It provides a data base system in compliance with Executive Order 13164 and required by the Equal Employment Opportunity Commission (EEOC) Regulations and American Federation of Government Employees (AFGE) Bargaining Unit as described in the AFGE National Reasonable Accommodation Procedures. It is a tool that was internally developed in Lotus Notes to track requests for reasonable accommodation and was custom-configured to meet EPA's specific needs and infrastructure.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- CMS is EPA's correspondence tracking and workflow management system. It scans, logs, routes, tracks, and stores incoming and outgoing correspondence in all Program and Regional Offices.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Emissions & Generation Resource Integrated Database (eGRID) is a comprehensive source of data on characteristics of almost all electric power generated in the United States. This data includes capacity; heat input; net generation; associated air emissions of nitrogen oxides, sulfur dioxide, carbon dioxide, methane, nitrous oxide and mercury; emissions rates; resource mix (i.e., generation by fuel type); nonbaseload calculations; line losses (a.k.a., grid gross loss); and many other attributes. The data is provided at the unit and generator levels, as well as, aggregated to the plant, state, balancing authority, eGRID subregion, NERC region, and US levels. As of January 2023, the available editions of eGRID contain data for years 2021, 2020, 2019, 2018, 2016, 2014, 2012, 2010, 2009, 2007, 2005, 2004, and 1996 through 2000.1Licence not specifiedover 2 years ago
- The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.1Licence not specifiedover 2 years ago
- The Greenhouse Gas Reporting Program (GHGRP) collects Greenhouse Gas (GHG) data from large emitting facilities, suppliers of fossil fuels and industrial gases that result in GHG emissions when used, and facilities that inject carbon dioxide underground. The GHGRP (codified at 40 CFR Part 98) requires reporting of greenhouse gas (GHG) data and other relevant information from large GHG emission sources, fuel and industrial gas suppliers, and CO2 injection sites in the United States. This data can be used by businesses and others to track and compare facilities' greenhouse gas emissions, identify opportunities to cut pollution, minimize wasted energy, and save money. States, cities, and other communities can use EPA’s greenhouse gas data to find high-emitting facilities in their area, compare emissions between similar facilities, and develop common-sense climate policies.1Licence not specifiedalmost 3 years ago
