AndreaBozzo/ceres-open-data-index huggingface dataset:
Datasets Supporting Paper Titled, “Influence of Network Model Detail on the Performance of Designs of Contamination Warning Systems”

This ZIP file contains the four EPANET network models used for one of the two water distribution system (WDS) network models (N1) analyzed in the paper titled: 

“The effect of a loss of model structural detail due to network skeletonization on contamination warning system design: case studies”.

The EPANET network models provided here are for the network model named “N1” in this paper. 

This dataset is associated with the following publication:
Janke , R., and M. Davis. The effect of a loss of model structural detail due to network skeletonization on contamination warning system design: case studies.   Drinking Water Engineering and Science Discussions. Copernicus Gesellschaft mbH, Gottingen,  GERMANY,  1-25, (2018).

Tags: community-health, drinking-water-distribution-systems, epanet-network-models, public-health, teva-spot-ensemble-and-regret-analysis, water-distribution-systems-optimization-simulation, water-quality
Organization: U.S. Environmental Protection Agency
People and Water – IWI-HWBI

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).

Tags: ecosystem-services, governance, human-well-being, social-ecological-systems, sustainability, watersheds
Organization: U.S. Environmental Protection Agency
Data for Boquerón Beach, PR immunoprevalence study

The data contained in this worksheet provides the Median Fluorescence Intensity (MFI) readings for the Boquerón Beach, Puerto Rico saliva samples collected on Day 1 of the study and used to assess immunoprevalence of the beachgoers to the pathogens in the multiplex immunoassay. 

This dataset is associated with the following publication:
Augustine, S., K. Simmons, T. Eason, C. Curioso, S. Griffin, T. Wade, A. Dufour, S. Fout, A. Grimm, K. Oshima, E. Sams, M. See, and L. Wymer. Immunoprevalence to Six Waterborne Pathogens in Beachgoers at Boquerón Beach, Puerto Rico: Application of a Microsphere-Based Salivary Antibody Multiplex Immunoassay.   Frontiers in Public Health. Frontiers, Lausanne,  SWITZERLAND, 5(84): 1-11, (2017).

Tags: bead-based-multiplexing, bead-coupling, boqueron-beach, carboxylated-microspheres, coupling-confirmation, exposure, immunoassay, multiplex, puerto-rico, saliva, salivary-antibody
Organization: U.S. Environmental Protection Agency
Dataset for manuscript "Mixed “anti-androgenic” chemicals at low individual doses produces reproductive tract malformations in the male rat"

Dataset contains summary data (mean, standard error, sample size (n)) for all measured endpoints reported and depicted in the corresponding manuscript. 

This dataset is associated with the following publication:
Conley, J., C. Lambright, N. Evans, M. Cardon, J. Furr, V. Wilson, and E. Gray. Mixed “antiandrogenic” chemicals at low individual doses produce reproductive tract malformations in the male rat.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  164(1): 166-178, (2018).

Tags: anti-androgens, birth-defects, chemical-mixtures, in-utero-effects-on-reproductive-development, pesticides, phthalates
Organization: U.S. Environmental Protection Agency
The First Acid Ionization Constant of Cyanuric Acid from 5 to 35 °C

No data set is provided. This dataset is not publicly accessible because: All the data is contained in the manuscript and supplementary information. It can be accessed through the following means: All the data is contained in the manuscript and supplementary information. Format: All the data is contained in the manuscript and supplementary information. 

This dataset is associated with the following publication:
Wahman, D. First Acid Ionization Constant of the Drinking Water Relevant Chemical Cyanuric Acid from 5 to 35 °C.   Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge,  UK, 4: 1522-1530, (2018).

Tags: cyanuric-acid
Organization: U.S. Environmental Protection Agency
Data for Capillary-based immunoassay optimization of p53 and ɑ-tubulin in BEAS-2B cells

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.

Tags: beas-2b, capillary-immunoassay, method-development, p53
Organization: U.S. Environmental Protection Agency
A Drinking Water Relevant Water Chemistry Model for the Free Chlorine and Cyanuric Acid System from 5 to 35 °C

No data set is provided. This dataset is not publicly accessible because: All the data is contained in the manuscript and supplementary information. It can be accessed through the following means: All the data is contained in the manuscript and supplementary information. Format: All the data is contained in the manuscript and supplementary information. 

This dataset is associated with the following publication:
Wahman, D., and M. Alexander. A Drinking Water Relevant Water Chemistry Model for the Free Chlorine and Cyanuric Acid System from 5 to 35 °C.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 36(3): 283-294, (2019).

Tags: cyanuric-acid
Organization: U.S. Environmental Protection Agency
Data for Boquerón Beach, Puerto Rico immunoconversion study

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).

Tags: exposure, immunoconversions, incident-infections, luminex-assay, multiplex-immunoassay, salivary-antibodies
Organization: U.S. Environmental Protection Agency
Impacts of fire smoke plumes on regional air quality, 2006–2013 data

Impacts of fire smoke plumes on regional air quality, 2006–2013 data. Shape files of smoke plumes that define the geographic extent of smoke are from the NOAA Hazard Mapping System (HMS), and O3, total PM2.5, and PM2.5 constituent measurements for 2006–2013 are from the U.S. Environmental Protection Agency’s (EPA) Air Quality System database. 

This dataset is associated with the following publication:
Larsen, A., B. Reich, M. Ruminski, and A. Rappold. Impacts of wildfire smoke plumes on regional air quality, 2006-2013.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 28(4): 319-327, (2018).

Tags: air-quality, aqi, fire-smoke, hms
Organization: U.S. Environmental Protection Agency
Managing Alaska’s Road-Dust Problem: A Model for Road Dust–Impacted Regions

Poor air quality in Alaska’s remote communities due to road dust is one of the top environmental concerns of residents in these communities. Most communities are disconnected from the road network, with community roads that are predominantly unpaved. In Alaska, high costs limit widespread paving of roads, leaving communities to rely on alternative dust control strategies. The goals for this study were to assess the magnitude and impact of the dust problem in rural Alaska and use a diversity of experience, including regulatory, research, engineering, and cultural, to develop a road-dust management approach for rural Alaska. The plan incorporates different levels of dust management: institutional controls, road watering, chemical dust suppressants, and road surface stabilization. Geographical zones where use of each different dust management level will be most appropriate are identified based on rainfall frequency. Approximately 50% of Alaska’s communities can manage road dust with institutional controls and road watering. Many of the road-dust management ideas presented are transferable to other global regions that experience similar economic and community access challenges as Alaska. This dataset is not publicly accessible because: All data and codes generated or used during this study are available from the corresponding author by request. It can be accessed through the following means: All data and codes generated or used during this study are available from the corresponding author by request (high-volume sampling results, precipitation data, and potential dust days spreadsheet). Format: Precipitation data. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

Tags: air-quality, alaska, dust, meteorological, rainfall, roads, rural
Organization: U.S. Environmental Protection Agency
Particle and organic vapor emissions from children’s 3-D pen and 3-D printer toys

The data presented includes the total elemental analysis, via ICP-MS) of aerosol emissions from 3D printer of thermoplastic polymers. 

This dataset is associated with the following publication:
Yi, J., M.G. Duling, L.N. Bowers, A.K. Knepp, R.F. LeBouf, T.R. Nurkiewicz, A. Ranpara, T. Luxton, S.B. Martin Jr, D.A. Burns, D.M. Peloquin, E.J. Baumann, M.A. Virji, and A.B. Stefaniak. Particle and organic vapor emissions from children’s 3-D pen and 3-D printer toys.   INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 31(13-14): 432-445, (2019).

Tags: 3d-printing, carcinogenic-volatile-organic-compounds, childrens-health, exposure, metals, particles, toys
Organization: U.S. Environmental Protection Agency
Exacerbation of ozone-induced pulmonary and systemic effects by 2-adrenergic and/or glucocorticoid agonist/s

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).

Tags: clenbuterol, dexamethasone, glucocorticoid, lung-inflammation, ozone, systemic-metabolic
Organization: U.S. Environmental Protection Agency
The Impact of School Location and Commuting Choice on Children’s Air Pollution Exposures

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).

Tags: air-quality, bus, near-road, school-commute, walk
Organization: U.S. Environmental Protection Agency
Solvent Suitability for HFPO-DA (“GenX” Parent Acid) in Toxicological Studies Data set

The Excel file includes data transcribed from Thermo QualBrowser software into the spreadsheet. The first tab of the spreadsheet is the data dictionary. 

This dataset is associated with the following publication:
Liberatore, H., S.R. Jackson, M. Strynar, and J. McCord. Solvent Suitability for HFPO-DA (“GenX” Parent Acid) in Toxicological Studies.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 7(7): 477-481, (2020).

Tags: fluoroether-e-1, gc-ms, genx, headspace-analysis, hfpo-da, pfas
Organization: U.S. Environmental Protection Agency
Datasets for Figures and Tables in Early MicroRNA Indicators of PPARα Pathway Activation in the Liver

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).

Tags: biomarkers, liver-cancer, microrna, point-of-departure-models, ppar-alpha, toxicoepigenetics
Organization: U.S. Environmental Protection Agency
Positive correlation between wood δ15N and stream nitrate in two temperate deciduous forests

This dataset provides time series of tree ring N isotopes for individual trees and corresponding time series of temperature, precipitation, atmospheric N deposition, atmospheric S deposition, and disturbance in two temperate forests located in the eastern United States. 

This dataset is associated with the following publication:
Sabo, R., A. Elmore, D. Nelson, C. Clark, T. Fisher, and K. Eshleman. Positive correlation between wood δ 15N and stream nitrate concentrations in two temperate deciduous forests.   Environmental Research Communications. IOP Publishing, PHILADELPHIA, PA, USA, 2(2): 1-17, (2020).

Tags: acid-deposition, forest, nitrate, nitrogen, oligotrophication, stream, tree-rings
Organization: U.S. Environmental Protection Agency
Data contributed by EPA/ORD/CEMM/AESMD researchers to the manuscript “Assessing the manageable portion of the ozone problem in the contiguous United States”

Files containing daily maximum 8-hr ozone mixing ratio observations and WRF/CMAQ simulations that were contributed by EPA/ORD/CEMM/AESMD researchers to the manuscript “Assessing the manageable portion of ground-level ozone in the contiguous United States”. 

This dataset is associated with the following publication:
Luo, H., M. Astitha, C. Hogrefe, R. Mathur, and S.T. Rao. Assessing the manageable portion of the ozone problem in the contiguous United States.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 70(11): 1136-1147, (2020).

Tags: air-quality-modeling, cmaq, model-evaluation
Organization: U.S. Environmental Protection Agency
Effect of Polyoxymethylene (POM-H Delrin) offgassing within Pandora head sensor on direct sun and multi-axis formaldehyde column measurements in 2016–2019

Formaldehyde column data from the Pandora spectrometer collected during the KORUS-AQ field campaign.

Tags: air-quality, formaldehyde, korus-aq, pandora, remote-sensing
Organization: U.S. Environmental Protection Agency
Data contributed by EPA/ORD/CEMM/AESMD researchers to the manuscript “Evaluating Trends and Seasonality in Modeled PM2.5 Concentrations Using Empirical Mode Decomposition”

Files containing daily average total and speciated PM2.5 observations and WRF/CMAQ simulations that were contributed by EPA/ORD/CEMM/AESMD researchers to the manuscript “Evaluating Trends and Seasonality in Modeled PM2.5 Concentrations Using Empirical Mode Decomposition”. 

This dataset is associated with the following publication:
Luo, H., M. Astitha, C. Hogrefe, R. Mathur, and S.T. Rao. Evaluating Trends and Seasonality in Modeled PM2.5 Concentrations Using Empirical Mode Decomposition.   Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir,  TURKEY, 20(22): 13801-13815, (2020).

Tags: air-quality-modeling, cmaq, model-evaluation
Organization: U.S. Environmental Protection Agency
Grulke_EPA’s DSSTox Chemical Structure Database

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).

Tags: chemistry-database, computational-toxicology, data-quality, dsstox, environmental-science, qsar, structure-curation
Organization: U.S. Environmental Protection Agency
Sister Study / EnviroAtlas Community Sample

Sister Study is a prospective cohort of 50,884 U.S. women aged 35 to 74 years old conducted by the NIEHS. Eligible participants are women without a history of breast cancer but with at least one sister diagnosed with breast cancer at enrollment during 2003 - 2009. Datasets used in this research effort include health outcomes, lifestyle factors, socioeconomic factors, medication history, and built and natural environment factors. 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 NIEHS Sister Study (https://sisterstudy.niehs.nih.gov/English/index1.htm) for data access. Format: Datasets are provided in SAS and/or CSV format.

Tags: climate, eco-health, enviroatlas, sister-study, urban-greenery
Organization: U.S. Environmental Protection Agency
USA SPENDING EDUCATION CH30 B124 POST-VIETNAM ERA VETERANS’ EDUCATIONAL ASSISTANCE FY2019

<p>VBA EDUCATION PROGRAM to provide educational assistance to persons entering the Armed Forces after December 31, 1976, and before July 1, 1985; to assist persons in obtaining an education they might otherwise not be able to afford; and to promote and assist the all volunteer military program of the United States by attracting qualified persons to serve in the Armed Forces. The participant must have entered on active duty on or after January 1, 1977, and before July 1, 1985, and either served on active duty for more than 180 continuous days receiving an other than dishonorable discharge, or have been discharged after January, 1, 1977 because of a service-connected disability. Also eligible are participants who serve for more than 180 days and who continue on active duty and have completed their first period of obligated service (or 6 years of active duty, whichever comes first). Participants must also have satisfactorily contributed to the program. (Satisfactory contribution consists of monthly deduction of $25 to $100 from military pay, up to a maximum of $2,700, for deposit in a special training fund.) Participants may make lump-sum contributions. No individuals on active duty in the Armed Forces may initially begin contributing to this program after March 31, 1987.</p>

Tags: cdfa-64-124
Organization: Department of Veterans Affairs
On Tracer Breakthrough Curve Dataset Size, Shape, and Statistical Distribution

A tracer breakthrough curve (BTC) for each sampling station is the ultimate goal of every quantitative hydrologic tracing study, and dataset size can critically affect the BTC. Groundwater-tracing data obtained using in situ automatic sampling or detection devices may result in very high-density data sets. Data-dense tracer BTCs obtained using in situ devices and stored in dataloggers can result in visually cluttered overlapping data points. The relatively large amounts of data detected by high-frequency settings available on in situ devices and stored in dataloggers ensure that important tracer BTC features, such as data peaks, are not missed. Alternatively, such dense datasets can also be difficult to interpret. Even more difficult, is the application of such dense data sets in solute-transport models that may not be able to adequately reproduce tracer BTC shapes due to the overwhelming mass of data. One solution to the difficulties associated with analyzing, interpreting, and modeling dense data sets is the selective removal of blocks of the data from the total dataset. Although it is possible to arrange to skip blocks of tracer BTC data in a periodic sense (data decimation) so as to lessen the size and density of the dataset, skipping or deleting blocks of data also may result in missing the important features that the high-frequency detection setting efforts were intended to detect. Rather than removing, reducing, or reformulating data overlap, signal filtering and smoothing may be utilized but
smoothing errors (e.g., averaging errors, outliers, and potential time shifts) need to be considered. Appropriate probability distributions to tracer BTCs may be used to describe typical tracer BTC shapes, which usually include long tails. Recognizing appropriate probability distributions applicable to tracer BTCs can help in understanding some aspects of the tracer migration. 

This dataset is associated with the following publications:
Field, M. Tracer-Test Results for the Central Chemical Superfund Site, Hagerstown, Md. May 2014 -- December 2015. U.S. Environmental Protection Agency, Washington, DC, USA, 2017.
Field, M. On Tracer Breakthrough Curve Dataset Size, Shape, and Statistical Distribution.   ADVANCES IN WATER RESOURCES. Elsevier Science Ltd, New York, NY, USA, 141: 1-19, (2020).

Tags: data-smoothing, downsampling, high-density-datasets, probability, tracer-breakthrough-curves
Organization: U.S. Environmental Protection Agency
Data for Dispersion at the Edges of Near-Road Barriers

The data is from a wind tunnel study conducted to examine the dispersion of traffice-related emissions at the edges of near-road noise barriers. The data were collected in the EPA's meteorological wind tunnel using a hydrocarbon tracer to simulate emissions from a roadway. The data are presented as normalized concentration distributions (as described in the accompanying paper) for a number of different near road noise barrier configurations.

Tags: dispersion-modeling, near-road, noise-barriers, wind-tunnel
Organization: U.S. Environmental Protection Agency