AndreaBozzo/ceres-open-data-index huggingface dataset:
Water demand data and distribution network

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).

Tags: chlorine-wall-demand, demand-patterns, dispersion, distribution-system, numerical-solution
Organization: U.S. Environmental Protection Agency
NARS Hydrologic Data

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).

Tags: aquatic-monitoring, assessment, coastal, lake-water-balance-parameters, lakes-and-reservoirs, rivers-and-streams, water-stable-isotope, wetlands
Organization: U.S. Environmental Protection Agency
NWCA Survey Design

The 4 resource surveys (coastal, rivers and streams, lakes and reservoirs, and wetlands) each have datasets covering the biological, chemical, physical habitat, hydrologic and watershed data. 

This dataset is associated with the following publication:
Olsen, T., T. Kincaid, M. Kentula, and M. Weber. Survey Design to Assess Condition of Wetlands in the United States.   ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 191: 268, (2019).

Tags: aquatic-monitoring, assessment, coastal, lakes-and-reservoirs, rivers-and-streams, wetlands
Organization: U.S. Environmental Protection Agency
From field to groundwater: Quantifying crop N budgets, performance metrics and nitrate leaching in the southern Willamette Valley, Oregon

This file contains water balances, monthly nitrate leaching and concentrations, field site descriptions and field crop inputs and harvest information.  

Tags: community-research, groundwater, nitrate, nitrogen, nutrient-managment, translational-science, water-quality, well-water
Organization: U.S. Environmental Protection Agency
Biomarkers of Human Exposure: Plasma data (Augustine et al. 2015)

The data contained in this worksheet provides the median flourescence Intensity (MFI) readings for the plasma samples used to measure human antibody responses to the pathogens used in the multiplex. 

This dataset is associated with the following publication:
Augustine , S., K. Simmons, T. Eason , S. Griffin , C. Curioso, L. Wymer , S. Fout , A. Grimm , K. Oshima , and A. Dufour. Statistical approaches to developing a multiplex immunoassay for determining human exposure to environmental pathogens.   JOURNAL OF IMMUNOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 425(10): 1-9, (2015).

Tags: exposure, immunoconversions, immunoprevalence, luminex-xmap-technology, median-flourescence-intensity, multiplex-immunoassay, plasma, salivary-antibodies
Organization: U.S. Environmental Protection Agency
Sunburn among Beachgoers in the United States

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).

Tags: beach-water-quality, diarrhea, swimming
Organization: U.S. Environmental Protection Agency
Freshwater Science Figure S1A and B Block-Kriged Predictions of Specific Conductivity

This dataset shows the observed and predicted values of specific conductivity at 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. 

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).

Tags: spatial-autocorrelation, specific-conductivity, stream-networks, water-quality
Organization: U.S. Environmental Protection Agency
EPA June 2012 12km Continental US (CONUS) Bidirectional CMAQ v5.0.2 Simulations

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).

Tags: ensemble-kalman-filter, geos-chem, pm2-5-air-quality-forecast, wrf-chem, wrf-cmaq
Organization: U.S. Environmental Protection Agency
Revised figure data for journal submission_22June2020

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).

Tags: drinking-water, exposure, lead, multimedia-modeling
Organization: U.S. Environmental Protection Agency
Woody Biomass (Phase 1)

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).

Tags: air-qualtiy, biomass, coal-combustion, emissions-characterization
Organization: U.S. Environmental Protection Agency
Melnikov_etal_Hard and Soft Acid and Base Characterization of 100 Chemicals

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).

Tags: adducts, hsab, in-silico, neurotoxicity
Organization: U.S. Environmental Protection Agency
Utah Lake Cyanobacterial Satellite Economic Case Study

Utah Lake Cyanobacterial Satellite Economic Case Study. This dataset is not publicly accessible because: Data does not belong to the EPA, data is the property of Resources for the Future. It can be accessed through the following means: Contact Yusuke Kuwayama (202) 328-5190. Format: Excel and text files. 

This dataset is associated with the following publication:
Stroming, S., M. Robertson, B. Mabee, Y. Kuwayama, and B. Schaeffer. Quantifying the Human Health Benefits of Using Satellite Information to Detect Cyanobacterial Harmful Algal Blooms and Manage Recreational Advisories in U.S. Lakes.   GeoHealth. American Geophysical Union, Washington, DC, USA, 4(9): e2020GH000254, (2020).

Tags: cyanobacteria, economics, harmful-algal-blooms, impact-assessment, satellite, water-quality
Organization: U.S. Environmental Protection Agency
The dataset contains PII

These data are interview transcripts with individuals who are users of the Smoke Sense app. 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: This data is available on request to approved individuals. Format: This data contains PII. These are interview transcripts. 

This dataset is associated with the following publication:
Hano, M., L. Wei, B. Hubbell, and A. Rappold. Scaling Up: Citizen Science Engagement and Impacts Beyond the Individual.   Citizen Science: Theory and Practice. Ubiquity Press, London,  UK, 5(1): 1-13, (2020).

Tags: citizen-science-motivation, interview, qualitative, smoke-sense
Organization: U.S. Environmental Protection Agency
Drinking Water Microbiome Taxonomic Lineage Abundance Data Set

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).

Tags: 16s-rrna, drinking-water, machine-learning, microbiome, nitrification, relative-abundance, taxonomy
Organization: U.S. Environmental Protection Agency
Secondary screening method for sodium-iodide symporter inhibition utilizing FRTL-5 cells data set

Data pertaining to a NIS-expressing cell line, FRTL-5 and it's screening capabilities for confirming inhibitors of NIS-mediated iodide uptake. 

This dataset is associated with the following publication:
Buckalew, A., J. Wang, A. Murr, C. Deisenroth, W. Stewart, T. Stoker, and S. Laws. Evaluation of potential sodium-iodide symporter (NIS) inhibitors using a secondary Fischer rat thyroid follicular cell (FRTL-5) radioactive iodide uptake (RAIU) assay.   Archives of Toxicology. Springer, New York, NY, USA, 94(3): 873-885, (2020).

Tags: endocrine-disruption, high-throughput-in-vitro-screening-assay, sodium-iodide-symporter, thyroid
Organization: U.S. Environmental Protection Agency
JRII-S Dataset

The sonic data within the building array is composed of 26 days of 30-minute average data from 30 sonic anemometers. The unobstructed tower sonic data is also the same, but of the 5 heights of the tower. The data files have 48 columns associated with date and time identifiers as well as meteorological turbulence measurements. This dataset is not publicly accessible because: The data were not collected by EPA and are hosted external to the agency. It can be accessed through the following means: The detailed sonic dataset is freely available to others wishing to perform additional analysis however, it is large and not readily posted. The complete dataset is included in the comprehensive JR II data archive set up by the DHS Science and Technology (S&T) Directorate, Chemical Security Analysis Center (CSAC). To obtain the data, an email request can be sent to JackRabbit@st.dhs.gov. The user can then access the archive on the Homeland Security Information Network (HSIN). Format: The sonic data within the Jack Rabbit II (JRII) mock-urban building array are in 30-minute averaged daily excel files separated by each sonic anemometer with numerous variables. The unobstructed, raw 10Hz tower data are in .dat files and processed into 30-minute average daily csv files by sonic height. 

This dataset is associated with the following publication:
Pirhalla, M., D. Heist, S. Perry, S. Hanna, T. Mazzola, S.P. Arya, and V. Aneja. Urban Wind Field Analysis from the Jack Rabbit II Special Sonic Anemometer Study.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 243: 14, (2020).

Tags: building-wakes, jack-rabbit-ii, microscale-meteorology, sonic-anemometry, turbulence, urban-dispersion
Organization: U.S. Environmental Protection Agency
Seafood, wine, rice, vegetables, and other food items associated with mercury biomarkers among seafood and non-seafood consumers: NHANES 2011-2012

Code for analysis of NHANES data. 

This dataset is associated with the following publication:
Wells, E., L. Kopylev, R. Nachman, E. Radke-Farabaugh, and D. Segal. Seafood, wine, rice, vegetables, and other food items associated with mercury biomarkers among seafood and non-seafood consumers: NHANES 2011–2012.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK,  1-11, (2020).

Tags: human-health-risk-assessment, nhanes
Organization: U.S. Environmental Protection Agency
Criteria pollutant impacts of volatile chemical products informed by near-field modeling

Dataset includes data appearing in main text figures and CMAQ code. 

This dataset is associated with the following publication:
Qin, M., B. Murphy, K. Isaacs, B. McDonald, Q. Lu, S. McKeen, L. Koval, A. Robinson, C. Efstathiou, C. Allen, and H. Pye. Criteria pollutant impacts of volatile chemical products informed by near-field modeling.   Nature Sustainability. Nature Publishing Group, New York, NY, USA,  1-57, (2020).

Tags: biogenic-voc, calnex, community-multi-scale-air-quality-cmaq-model, los-angeles, o3, ozone, pm2-5, pm2-5-air-quality-modeling, semivolatile-organic-compounds-svocs, soa, vcp, volatile-chemical-product, volatile-organic-compound-voc
Organization: U.S. Environmental Protection Agency
Data related to transport of hydrochar-montmorillonite

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).

Tags: aluminum-oxide, hydrochar, montmorillonite, nanoaggregates, phosphate, transport
Organization: U.S. Environmental Protection Agency
Data for journal article Inactivation of Bacillus anthracis and Bacillus atrophaeus Spores on Surfaces with Ultraviolet Light Produced Via Either Light Emitting Diodes or a Low-Pressure Mercury Vapor Lamp

The spreadsheets contain the colony forming unit data for every experiment, for every test and positive control coupon replicate. 

This dataset is associated with the following publication:
Wood, J., J. Archer, M. Calfee, S. Serre, R. Mickelsen, A. Mikelonis, L. Oudejans, M. Hu, S.  Hurst, and V.K. Rastogi. Inactivation of Bacillus anthracis and Bacillus atrophaeus Spores on Surfaces with Ultraviolet Light Produced Via Either Light Emitting Diodes or a Low-Pressure Mercury Vapor Lamp.   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA,  13, (2020).

Tags: bacillus-anthracis, bacterial-spores, decontamination, ultraviolet-light
Organization: U.S. Environmental Protection Agency
SERC_BW_data

18S OTU table with taxonomy, including metadata on sampled vessels. 

This dataset is associated with the following publication:
Darling, J., J. Martinson, K. Pagenkopp-Lohan, K. Carney, E. Pilgrim, A. Banerji, K. Holzer, and G. Ruiz. Metabarcoding quantifies differences in accumulation of ballast water borne biodiversity among three port systems in the United States.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 749: 141456, (2020).

Tags: ballast-water, biodiversity, biosecurity, high-throughput-sequencing, metabarcoding, zooplankton
Organization: U.S. Environmental Protection Agency
Tree cover and allostatic load

The dataset contains results of questionnaire surveys including demographic, socioeconomic data and health/medical information, residential addresses, geographic coordinates of residential addresses, estimates of tree cover and vegetated land cover within 1 km of residence, results of laboratory analyses of blood samples from study participants for biomarkers of allostatic load, and allostatic load estimates. 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. Data requests should be sent to PI. Format: Data are stored in SAS and MS Excel. 

This dataset is associated with the following publication:
Egorov, A., S. Griffin, R. Converse, J. Styles, E. Klein, J. Scott, E. Sams, E. Hudgens, and T. Wade. Greater tree cover near residence is associated with reduced allostatic load in residents of central North Carolina.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 186: 109435, (2020).

Tags: allostatic-load, chronic-stress, epidemiologic-study, green-space, greenspace, multiple-stressors, urban-environment
Organization: U.S. Environmental Protection Agency
Data for: Using Transmission Data to Isolate Individual Losses in Coastdown Road Load Coefficients

A file containing data on coastdown drag of transmissions in neutral gear. Links to two other transmission data sets containing this information, and link to  EPA Data on Cars used for Testing Fuel Economy. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

Tags: coastdown, dynamometer, transmissions, vehicles
Organization: U.S. Environmental Protection Agency
CMAQ v5.2 and WRF v3.8.1 model data, meta data and figures

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).

Tags: green-infrastructure, ozone, particular-matter, planetary-boundary-layer, temperature, urban-air-quality
Organization: U.S. Environmental Protection Agency