AndreaBozzo/ceres-open-data-index huggingface dataset:
Transitions for fipronil quant in surface water, Summary of Current Fipronil Water Data and Water Data for WWTPs

Comparison of fipronil sources in North Carolina surface water and identification of a novel fipronil transformation product in recycled wastewater. 

This dataset is associated with the following publication:
McMahen, R.L., M. Strynar , L. McMillan, E. DeRose, and A. Lindstrom. Comparison of fipronil sources in North Carolina surface water and identification of a novel fipronil transformation product in recycled wastewater.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 569570: 880-887, (2016).

Tags: biomarker-of-exposure, fipronil, novel-transformation-products, pesticide, wastewater, water-reuse
Organization: U.S. Environmental Protection Agency
Metabolomics for Informing Adverse Outcome Pathways: Androgen Receptor Activation and the Pharmaceutical Spironolactone

Metabolite Input Files for Determining Biochemical Pathways Impacted by Spironolactone Exposures of Fathead Minnows (Pimephales promelas) Using the Mummichog Software package. 

This dataset is associated with the following publication:
Davis, J., D. Skelton, D. Ekman, C. LaLone, G. Ankley, G. Ankley, J. Cavallin, D. Villeneuve, and T. Collette. Metabolomics for Informing Adverse Outcome Pathways: Androgen Receptor Activation and the Pharmaceutical Spironolactone.   AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 184(0): 103-115, (2017).

Tags: aops, mass-spectrometry, metabolomics, mummichog, spironolactone
Organization: U.S. Environmental Protection Agency
Haw River PFCs Data Set

PFAS concentrations in river and drinking water in and around the Haw River in North Carolina. 

This dataset is associated with the following publication:
Sun, M., E. Arevalo, M. Strynar, A. Lindstrom, M. Richardson, B. Kearns, A. Pickett, C. Smith, and D.R.U. Knappe. Legacy and Emerging Perfluoroalkyl Substances Are Important Drinking Water Contaminants in the Cape Fear River Watershed of North Carolina.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 3(12): 415-419, (2016).

Tags: occurrence-and-fate, perfluoroalkyl, pfas, water-treatment, watershed
Organization: U.S. Environmental Protection Agency
UCMR3 data

Zipped UCMR3 data. 

This dataset is associated with the following publication:
HU, X., D. Andrews, T. Bruton, A. Lindstrom, L.  Schaider, P. Grandjean, R. Lohmann, C. Carignan, A. Blum, S. Balan, E. Sunderland, and C. Higgins. Detection of Poly- and Perfluoroalkyl Substances (PFASs) in U.S. Dinking Water: Linked to Industrial Sites, Military fire Training Areas and Wastewater Treatment Plants.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 3(0): 344-350, (2017).

Tags: pfhxs, pfna, pfoa, pfos, polyfluorinated-alkyl-substances-pfas, ucmr3
Organization: U.S. Environmental Protection Agency
Newton Decatur AL water sample polyfluor compound discovery

All the pertinent information for recreation of the published (hopefully) tables and figures. 

This dataset is associated with the following publication:
Newton, S., R. McMahen, J. Stoeckel, M. Chislock, A. Lindstrom, and M. Strynar. Novel Polyfluorinated Compounds Identified Using High Resolution Mass Spectrometry Downstream of Manufacturing Facilities near Decatur, Alabama.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51(3): 1544-1552, (2017).

Tags: non-targeted-analysis, per-and-polyfluorinated, time-of-flight-mass-spectrometry
Organization: U.S. Environmental Protection Agency
The effectiveness of Light Rail transit in achieving regional CO2 emissions targets is linked to building energy use: insights from system dynamics modeling

Dataset is comprised of a series of journal publications  (in pdf form) that use system dynamics modeling to analyze the interactions among transportation, land use, economy and resources (water, energy) to yield sustainability outcomes, with a focus on achieving energy sustainability goals. In particular, the paper analyzes the tradeoffs and cumulative impacts of energy use across building and transportation types under a range of transportation and land use scenarios. In addition to the articles themselves, the dataset includes figures from the articles and a link to the model documentation, as well as tabular sources of input and calibration data and the full set of model output data. 

This dataset is associated with the following publication:
Procter, A., A. Bassi, J. Kolling, L. Cox, N. Flanders, N. Tanners, and R. Araujo. The effectiveness of Light Rail transit in achieving regional CO2 emissions targets is linked to building energy use: insights from system dynamics modeling.   CLEAN TECHNOLOGIES ENVIRONMENTAL POLICY. Springer, New York, NY, USA, 19(5): 1459-1474, (2017).

Tags: buildings, emissions, energy, integrated-approaches, light-rail, sustainability
Organization: U.S. Environmental Protection Agency
Microbial raw data for UV-C LED disinfection study

This study evaluated ultraviolet (UV) light emitting diodes (LEDs) emitting at 260 nm, 280 nm, and the combination of 260|280 nm together for their efficacy at inactivating Escherichia. coli, MS2 coliphage, human adenovirus type 2 (HAdV2), and Bacillus pumilus spores; research included an evaluation of genomic damage. Inactivation by the LEDs was compared with the efficacy of conventional UV sources, the low-pressure (LP) and medium-pressure (MP) mercury vapor lamps. The work also calculated the electrical energy per order of reduction of the microorganisms by the five UV sources.For E. coli, all five UV sources yielded similar inactivation rates. For MS2 coliphage, the 260 nm LED was most effective. For HAdV2 and B. pumilus, the MP UV lamp was significantly more effective than the LP UV and UVC LED sources. When considering electrical energy per order of reduction, the LP UV lamp was the most efficient for E. coli and MS2, and the MPUV and LPUV were equally efficient for HAdV2 and B. pumilus spores. Among the UVC LEDs, the 280 nm LED unit required the least energy per log reduction of E. coli and HAdV2. The 280 nm and 260|280 nm LED units were equally efficient per log reduction of B. pumilus spores, and the 260 nm LED unit required the lowest energy per order of reduction of MS2 coliphage. The combination of the 260 nm and 280 nm UV LED wavelengths was also evaluated for potential synergistic effects. No dual-wavelength synergy was detected for inactivation of all four microorganisms, nor for DNA/RNA damage. 

This dataset is associated with the following publication:
Beck, S., H. Ryu, L. Boczek, J. Cashdollar, K. Jeanis, J. Rosenblum, O. Lawal, and K. Linden. Evaluating UV-C LED disinfection performance and investigating potential dual-wavelength synergy.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 109: 207-216, (2017).

Tags: bacillus-pumilus-spores, combined-wavelengths, electrical-energy-per-order, human-adenovirus-type-2, nucleic-acid-damage
Organization: U.S. Environmental Protection Agency
Data for developing metamodels to assess the fate, transport, and bioaccumulation of organic chemicals in rivers. Chemicals have log Kow ranging from 3 to 14, and rivers have mean annual discharges ranging from 1.09 to 3240 m3/s.

This dataset was developed to demonstrate how metamodels of high resolution, process-based models that simulate the fate, transport, and bioaccumulation of organic chemicals in rivers can be developed and applied for screening level exposure assessments. Chemicals of concern are assumed to be released from point sources (e.g., wastewater treatment works) and have log n-octanol/water partition coefficients (log Kow) ranging from 3 to 14. The rivers of concern have mean annual discharges ranging from 1.09 to 3240 m3/s. Five existing USEPA models are used to generate the required databases. The Chemical Transformation Simulator (CTS) and the High Throughput Stochastic Human Exposure and Dose Simulation Model (SHEDS-HT) are used to estimate the pchem properties and loading rates of the chemicals of interest, respectively. Using these data, the dissolved and total water concentrations, and total sediment concentrations for each chemical-loading combination in the rivers of interest are simulated using the Exposure Analysis Modeling System (EXAMS). Lastly, the Kow-based Aquatic BioAccumulation Model (KABAM) and the Bioaccumulation and Aquatic System Simulator (BASS) are used to estimate BCFs of periphyton and phytoplankton and BAFs of benthic invertebrates, zooplankton, and fish in the rivers of interest. Using these BCFs and BAFs and EXAMS dissolved water concentrations, expected whole-body concentrations of exposed fish and invertebrates are calculated for each chemical-loading-river combination. 

This dataset is associated with the following publication:
Barber, C., K. Isaacs, and C. Stevens. Developing and applying metamodels of high resolution process-based simulations for high throughput exposure assessment of organic chemicals in riverine ecosystems.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 605606: 471-481, (2017).

Tags: bass, bioaccumulation, brominated-flame-retardants, cts, exams, fate-and-transport, integrated-modeling, kabam, sheds-ht, trophic-transfer
Organization: U.S. Environmental Protection Agency
Flow and Rainfall Data used for SHC Headwatershed SWMM Calibration

Flow and rainfall data collected at the Shayler Crossing (SHC) stream monitoring station at 10 minute intervals over a two month period in 2009. 

This dataset is associated with the following publication:
Lee, J., C. Nietch, and S. Panguluri. Drainage Area Characterization for Evaluating Green Infrastructure using the Storm Water Management Model.   HYDROLOGY AND EARTH SYSTEM SCIENCES. EGS,    22: 2615-2635, (2018).

Tags: headwatershed-scale, rainfall, spatial-discretization, stormwater-modeling, streamflow, swmm
Organization: U.S. Environmental Protection Agency
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.

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).

Tags: drinking-water, microorganisms, per-and-polyfluoroalkyl-substances, pharmaceuticals, source-water
Organization: U.S. Environmental Protection Agency
Datasets will not be made accessible to the public due to the fact that they include household level data with PII.

Datasets will not be made accessible to the public due to the fact that they include household level data with PII. 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: Datasets will not be made accessible to the public due to the fact that they include household level data with PII. Format: Datasets will not be made accessible to the public due to the fact that they include household level data with PII. 

This dataset is associated with the following publication:
Fulk , F., E. Haynes, T. Hilbert, D. Brown, D. Petersen , and T. Reponen. Comparison of stationary and personal air sampling with an air dispersion model for children’s ambient exposure to manganese.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK,  online, (2016).

Tags: ambient-air, datasets-will-not-be-made-accessible-to-the-public-due-to-the-fact-that-they-include-household-, manganese
Organization: U.S. Environmental Protection Agency
Metadata from 12 international groundwater studies: virus and microbial indicator occurrence

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).

Tags: contamination, drinking-water, enteric-virus, microbial-indicators
Organization: U.S. Environmental Protection Agency
data for Effects of an experimental water level drawdown on methane emissions

Time series of methane ebullition rates from 9 sites in Harsha Lake, Ohio, from May - Dec 2015. 

This dataset is associated with the following publication:
Beaulieu, J., A. Balz, M. Birchfield, J. Harrison, C. Nietch, M. Platz, S. Waldo, J. Walker, K. White, and J. Young. Effects of an experimental water-level drawdown on methane emissions from a eutrophic reservoir.   ECOSYSTEMS. Springer, New York, NY, USA, 21(4): 657-674, (2018).

Tags: impoundments, methane, reservoirs, water-quality
Organization: U.S. Environmental Protection Agency
Willis PM 10-2.5 Precision Results, pdf has summary table and SEM images

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).

Tags: cleveland, microscopy, particulate-matter, passive-aerosol-sampler, passive-method, pm, single-particle-analysis, x-ray-spectroscopy
Organization: U.S. Environmental Protection Agency
Tables and figure datasets

Soil and air concentrations of asbestos in Sumas study. 

This dataset is associated with the following publication:
Wroble, J., T. Frederick, A. Frame, and D. Vallero. Comparison of soil sampling and analytical methods for asbestos at the Sumas Mountain Asbestos Site—Working towards a toolbox for better assessment.   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 12(7): e0180210, (2017).

Tags: asbestos, naturally-occurring-asbestos, sediment, transmission-electronic-microscopy-tem
Organization: U.S. Environmental Protection Agency
source files for manuscript in tex format

Source tex files used to create the manuscript including original figure files and raw data used in tables and inline text. 

This dataset is associated with the following publication:
Beck, M., J. Lehrter, L. Lowe, and B. Jarvis. Parameter sensitivity and identifiability for a biogeochemical model of hypoxia in the northern Gulf of Mexico.   ECOLOGICAL MODELLING. Elsevier Science BV, Amsterdam,  NETHERLANDS, 363: 17-30, (2017).

Tags: coastal-general-ecosystem-model-cgem, gulf-of-mexico-gom, hypoxia, identifiability, sensitivity
Organization: U.S. Environmental Protection Agency
Speciation of ZnO and CuO nanoparticles exposed to culture medium and lymphocyte cells

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).

Tags: cuo, engineered-nanomaterials, synchrotron-speciation, toxicity, zno
Organization: U.S. Environmental Protection Agency
Pb speciation results in amended soils

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).

Tags: bioaccessibility, in-situ-amendments, lead, metal-bioavailability, synchrotron-speciation
Organization: U.S. Environmental Protection Agency
Uranium and Iron XRF distribution and Fe speciation results

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).

Tags: iron-chemistry, rhizosphere-chemistry, synchrotron-speciation, uranium, wetlands
Organization: U.S. Environmental Protection Agency
In situ analyses of Ag speciation in tissues of cucumber and wheat using synchrotron-based X-ray absorption spectroscopy

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).

Tags: plant-uptake, silver-nanoparticles, synchrotron-speciation
Organization: U.S. Environmental Protection Agency
Arsenic speciation results

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).

Tags: arsenic, bioaccessibility, human-health-risk-assessment, metal-bioavailability, synchrotron-speciation
Organization: U.S. Environmental Protection Agency
USEEIOv1.1  - Satellite Tables

This dataset supersedes the original 'USEEIO satellite files' dataset (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B49F4F982-C5DB-4A62-878A-DE341A2099B6%7D). See the supporting documentation for a full description of updates to the satellite tables in this release. 

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).

Tags: input-output-data, life-cycle-assessment, life-cycle-inventory-data, sustainability
Organization: U.S. Environmental Protection Agency
Duke Forest Particle Nucleation Data

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).

Tags: particle-nucleation
Organization: U.S. Environmental Protection Agency
USEEIO v1.1 - Matrices

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).

Tags: data-quality-scores, input-output-data, life-cycle-assessment, life-cycle-impacts, life-cycle-inventory-data, life-cycle-results, sustainability, total-requirements-matrix
Organization: U.S. Environmental Protection Agency
Gomphid DNA sequence data

DNA sequence data for several genetic loci. This dataset is not publicly accessible because: It's already publicly available on GenBank. It can be accessed through the following means: GenBank/NCBI (http://www.ncbi.nlm.nih.gov/). Accession numbers KX890490-KX891168. Format: This dataset is DNA sequence data. It is available in GenBank. Accession numbers KX890490-KX891168. 

This dataset is associated with the following publication:
Ware, J., E. Pilgrim, M. May, N. Donnelly, and K. Tennessen. Phylogenetic relationships of North American Gomphidae and their close relatives.   Systematic Entomology. John Wiley & Sons, Inc., Hoboken, NJ, USA, 42(2): 347-358, (2017).

Tags: biomonitoring, dna-barcoding, odonata
Organization: U.S. Environmental Protection Agency