AndreaBozzo/ceres-open-data-index huggingface dataset:
National level POLYSYS data for Hellwinckel et al. (2015): Simulated impact of the renewable fuels standard on US Conservation Reserve Program enrollment and conversion

This is the data of national level land conversions, prices, assumptions, etc., in the POLYSYS runs to estimate the land use change impacts from a growing biofuels industry. The results are discussed in Detail in Hellwinckel et al. (2015): "Simulated impact of the renewable fuels standard on US Conservation Reserve Program enrollment and conversion." Global Change Biology - Bioenergy (2015), doi: 10.1111/gcbb.12281. 

This dataset is associated with the following publication:
Hellwinckel, C., C. Clark , M. Langholtz, L. Eaton, and P. Morefield. Impact of the Renewable Fuels Standard on U.S. Conservation Reserve Program Enrollment and Conversion. GCB Bioenergy. John Wiley & Sons, Inc., Hoboken, NJ, USA, 8(1): 245-256, (2016).

Tags: agro-economic-modeling, biofuels, conservation-reserve-program, crp, land-use-change, polysys, renewable-fuel-standard, rfs
Organization: U.S. Environmental Protection Agency
Coliphage and adenovirus concentrations at various points along the net-zero system

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).

Tags: adenovirus, advanced-oxidation, coliphage, net-zero, potable-water-reuse
Organization: U.S. Environmental Protection Agency
USEEIO v1.1 - Elementary Flows and Life Cycle Impact Assessment (LCIA) Characterization Factors

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).

Tags: elementary-flows, environmental-impact-factors, input-output-data, life-cycle-assessment, life-cycle-inventory-data, resource-use-factors, sustainability
Organization: U.S. Environmental Protection Agency
EPANET INP files used in paper.

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).

Tags: drinking-water-distribution-system, epanet, epanet-network-models, mass-balance, water-quality-algorithm
Organization: U.S. Environmental Protection Agency
TEVA-SPOT-GUI - Containing Preliminary Flow Model

This ZIP file contains the developmental, test version of TEVA-SPOT-GUI's Flow Model.  The Flow Model is a new, event based water quality algorithm for EPANET.  The Flow Model is preliminary, i.e., it may not work for all models or all scenarios (i.e., release nodes in the network model).  If you want to examine the Flow Model code please go to the Github site at:

https://github.com/ttaxon/EPANET/tree/flow-transport-model

If you have any questions, contact Robert Janke (janke.robert@epa.gov). 

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).

Tags: drinking-water-distribution-system, epanet, epanet-network-models, flow-model, mass-balance, teva-spot, water-quality-algorithm
Organization: U.S. Environmental Protection Agency
Compilation of colony forming unit data for Bacillus anthracis and B. atrophaeus before and after exposure to various fogging treatments using peracetic acid or hydrogen peroxide

Data set contains CFU data for positive controls and test coupons for each test, for each material, and for each microorganism used.  Also included are efficacy data in terms of log reductions. It also includes data on process and environmental conditions during fogging. 

This dataset is associated with the following publication:
Richter, W., J. Wood, M. Wendling, and J. Rogers. Inactivation of Bacillus anthracis spores to decontaminate subway railcar and related materials via the fogging of peracetic acid and hydrogen peroxide sporicidal liquids.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 206: 800-806, (2018).

Tags: bacillus-anthracis, bacterial-spores, decontamination, fog
Organization: U.S. Environmental Protection Agency
Watershed impervious cover relative to stream location

Estimates of watershed (12-digit huc) impervious cover and impervious cover near streams and water body shorelines for three dates (2001, 2006, 2011) using NLCD data. Differences between watershed impervious cover and impervious cover near streams can be used to assess the spatial pattern of impervious cover within a watershed. 

This dataset is associated with the following publication:
Wickham, J., S.V. Stehman, L. Gass, J.A. Dewitz, D.G. Sorenson, B.J. Granneman, R.V. Poss, and L.A. Baer. Thematic Accuracy Assessment of the 2011 National Land Cover Database (NLCD).   REMOTE SENSING OF ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 191: 328-341, (2017).

Tags: change-detection, clean-water-act, impervious-cover, national-land-cover-database-nlcd, roads, spatial-pattern
Organization: U.S. Environmental Protection Agency
Dataset - Evaluation of Standardized Sample Collection, Packaging, and Decontamination Procedures to Assess Cross-Contamination Potential during Bacillus anthracis Incident Response Operations

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).

Tags: anthrax, bacillus-anthracis, bacillus-atrophaeus, cross-contamination, efficacy, homeland-security, recovery, sampling
Organization: U.S. Environmental Protection Agency
Chemical agnostic hazard prediction: Statistical inference of toxicity pathways - data for Figure 2

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).

Tags: computational-toxicology, in-vitro-assays, mixtures, model-predictions, proteomics, survival, toxicity-pathways
Organization: U.S. Environmental Protection Agency
Rainfall and Detention Basin Flows

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).

Tags: detention-basin-flow-control, hydraulic-rates, storm-events, wide-area-water-decontamination
Organization: U.S. Environmental Protection Agency
Understanding arsenic dynamics in agronomic systems to predict and prevent uptake by crop plants

N/A. This is a review article and no data were generated in the process of the review. This dataset is not publicly accessible because: This is a review article and no data were generated in the process of the review. It can be accessed through the following means: Information is presented in the published manuscript. Format: This is a review article and no data were generated in the process of the review. 

This dataset is associated with the following publication:
Punshon, T., B. Jackson, A. Meharg, T. Warczak, K. Scheckel, and M.L. Guerinot. Understanding Arsenic Dynamics in Agronomic Systems to Predict and Prevent Uptake by Crop Plants.  D. Barcelo, and Jay Gan  SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 582: 209/220, (2017).

Tags: arsenic, bioavailability, crop-agriculture, mitigation, soil
Organization: U.S. Environmental Protection Agency
Literature review tables for Karna et al. 2017

N/A. Users will need to access the manuscript to see non-EPA data presented in tables and figures. This dataset is not publicly accessible because: The tables in the manuscript are summaries of non-EPA data. It can be accessed through the following means: Data in the tables of the review manuscript have notations to citations in the manuscript. Format: No EPA generated data used in the paper; all information was taken from previously published literature to format this review of waste materials. 

This dataset is associated with the following publication:
Karna, R., T. Luxton, K. Bronstein, J. Redmon, and K. Scheckel. State of the Science Review:  Potential for Beneficial Use of Waste By-Products for <I>In-situ</I> Remediation of Metal-Contaminated Soil and Sediment.  Scott Bradford  CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY. CRC Press LLC, Boca Raton, FL, USA, 47(2): 65-129, (2017).

Tags: metals, remediation, soil-amendments, waste-reuse
Organization: U.S. Environmental Protection Agency
Method 1615 RT-qPCR data

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).

Tags: detection, occurrence, rt-qpcr, virus, waterborne
Organization: U.S. Environmental Protection Agency
Performance Evaluation and Community Application of Low-Cost Sensors for Ozone and Nitrogen Dioxide Data Set

Data set contains data collected during the DISCOVER-AQ Mission that support the journal article results. 

This dataset is associated with the following publication:
Duvall , R., R. Long , M. Beaver , K. Kronmillwe, M. Wheeler, J. Szykman , M. Silverman, and J.H. Crawford. Performance Evaluation and Community Application of Low-Cost Sensors for Ozone and Nitrogen Dioxide.   Sensors. MDPI AG, Basel,  SWITZERLAND, 16(10): 1698, (2016).

Tags: citizen-science, discover-aq, frm-fem, nitrogen-dioxide, ozone, sensors
Organization: U.S. Environmental Protection Agency
Wilkin and Beak (2017) ChemGeol v462 p15

The dataset includes X-ray Diffraction, Raman spectroscopic, X-ray absorption spectroscopic, and aqueous data pertaining to the paper titled "Uptake of nickel by synthetic mackinawite" published in Chemical Geology (2017, volume 462, pages 15-29. 

This dataset is associated with the following publication:
Wilkin, R., and D. Beak. Uptake of Nickel by Synthetic Mackinawite.   CHEMICAL GEOLOGY. Elsevier Science Ltd, New York, NY, USA, 462: 15-29, (2017).

Tags: arsenic, chromium, groundwater, iron-sulfides, nickel, uranium
Organization: U.S. Environmental Protection Agency
Experimental data sulfate and metal removal from mining impacted water collected at the Formosa Mine, OR, and sulfur speciation in the obtained solid residues.

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).

Tags: acid-mine-drainage, anaerobic-biochemical-reactors, passive-remediation-sulfide
Organization: U.S. Environmental Protection Agency
Hydrolysis Rate Data and Activation Energy Values (Supporting Information for doi 10.1021/acs.est.6b05412)

This dataset consists of rate constants, half-lives and activation energy values for hydrolysis of organic chemicals compiled from journal publications and regulatory reports.  The dataset was used to develop a ranked library of transformation reaction schemes for abiotic hydrolysis of organic chemicals under environmentally relevant conditions.  The spreadsheet file HydrolysisRateConstants_est6b05412.xlsx contains a compilation of 187 literature-reported hydrolysis half-lives adjusted to pH 5, 7 and 9 and temperature of 25°C.  The spreadsheet file HydrolysisActivationEnergy_est6b05412.xlsx contains a compilation of 58 literature-reported activation energies for hydrolysis reaction schemes. 

This dataset is associated with the following publication:
Stevens, C., J. Patel, J. Jones, and E. Weber. Prediction of Hydrolysis Products of Organic Chemicals under Environmental pH Conditions.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51(9): 5008–5016, (2017).

Tags: cheminformatics, hydrolysis, predictive-models, reaction-library, transformations
Organization: U.S. Environmental Protection Agency
Mutagenicity of Swimming Pool and Hot Tub Water

Description is included in the dataset. 

This dataset is associated with the following publication:
Daiber, E., D. DeMarini , S. Ravuri, H. Liberatore, A. Cuthbertson, A. Thompson-Klemish, J. Byer, J. Schmid , M. Afifi, E. Blatchley, and S. Richardson. Progressive Increase in Disinfection Byproducts and Mutagenicity from Sourceto Tap to Swimming Pool and Spa Water:  Implications for Public Health.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(13): 6652-6662, (2016).

Tags: disinfection-byproducts, hot-tub, mutagenicity, spa, swimming-pool
Organization: U.S. Environmental Protection Agency
Mutagenicity of Cookstove Emissions

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).

Tags: combustion-emissions, complex-mixtures, cookstoves, mutagenicity, salmonella
Organization: U.S. Environmental Protection Agency
Mutagenicity in Salmonella of Biodiesel Fractions

A description is included with the data. 

This dataset is associated with the following publication:
Mutlu, E., S. Warren , P. Matthews, J. Schmid , I. Kooter, B. Linak , I. Gilmour , and D. DeMarini. Health Effects of Soy-Biodiesel Emissions: Bioassay-Directed Fractionation for Mutagenicity*.   INHALATION TOXICOLOGY. Informa Healthcare USA, New York, NY, USA, 27(11): 597-612, (2015).

Tags: bioassay-directed-fractionation, complex-mixtures, diesel-exhaust, mutagenesis, mutagenicity, pahs, salmonella
Organization: U.S. Environmental Protection Agency
PDP data download from https://www.ams.usda.gov/datasets/pdp

The Pesticide Data Program (PDP) is a national pesticide residue monitoring program and produces the most comprehensive pesticide residue database in the U.S. The Monitoring Programs Division administers PDP activities, including the sampling, testing, and reporting of pesticide residues on agricultural commodities in the U.S. food supply, with an emphasis on those commodities highly consumed by infants and children. The program is implemented through cooperation with State agriculture departments and other Federal agencies. PDP data. 

This dataset is associated with the following publication:
Melnyk , L., Z. Wang, Z. Li, and J. Xue. Prioritization of pesticides based on daily dietary exposure potential as determined from the SHEDS model.   FOOD AND CHEMICAL TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 96: 167-173, (2016).

Tags: adi, dietary-exposure, pesticides, risk-ranking
Organization: U.S. Environmental Protection Agency
WRF Model Output

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).

Tags: data-assimilation, deep-convection, lightning, wrf
Organization: U.S. Environmental Protection Agency
No data

Manuscript provides a look-up table to predict exposures from minimal information using ECETOC TRA software. This dataset is not publicly accessible because: There is no EPA-generated data. It can be accessed through the following means: Rosemarie Zaleski of ExxonMobile Biosciences created "look-up table" using freely available ECETOC TRA software *http://www.ecetoc.org/tools/targeted-risk-assessment-tra/download-integrated-tool/). Format: There is no EPA-generated data. 

This dataset is associated with the following publication:
Dellarco, M., R. Zaleski , B. Gaborek , H. Qian, C. Bellin , P. Egeghy, N. Heard , O. Jolliet, D. Lander, N. Sunger , K. Stylianou  , and J. Tanir. Using exposure bands for rapid decision making in the RISK21 tiered exposureassessment.   CRITICAL REVIEWS IN TOXICOLOGY. CRC Press LLC, Boca Raton, FL, USA,  online, (2017).

Tags: expocast, exposure-assessment, exposure-banding, high-throughput, risk-assessment, risk21, screening
Organization: U.S. Environmental Protection Agency
In vitro screening of metal oxide nanoparticles for effects on neural function using cortical networks

Data describe the effects of metal oxide nanoparticles on total spikes and active electrodes after exposure to various concentrations for 1, 24 and 48 hrs, or after treatment with bicuculline. This dataset is not publicly accessible because: Each raw file contains at least 1 hour of recording time and is approximately 50 GB or larger. They cannot be uploaded due to file size. It can be accessed through the following means: Raw files are analyzed using scripts written in R-programming language and outputs from R included the graphs used in the publication. Summaries of the data, R-scripts and summary outputs from the R-analysis are located at the following locations: L:\Lab\NHEERL_MEA\Crooks\MEA_MetalOxides
          This directory and its sub-directory contains over 30 output files from the R-script analysis including xcell files summarizing the parameters of different statistical models and visualizations of the data in the form of tiff files.
L:\Lab\NHEERL_MEA\nanoparticles\Crooks MEA\final analysis
     This directory and its sub-directories include R-scripts used for analysis as well as folders with R-outputs summarizing statistics for different Fixed-dose trend, fixed interaction and fixed square root models used for analysis. There are over 50 files in this directory. Format: Raw data are derived from Axion Biosystems Maestro system using Axis 1.9 or later software. Data are saved as "*.raw" in a proprietary format on DROBO devices in the Shafer lab. The DROBO devices consist of five 2TB or larger hard drives and allows for self backing of files. Files are stored in folders based on the date the cell culture used for a particular experiment was made, and in subfolders for each experiment date for that culture. 

This dataset is associated with the following publication:
Strickland, J., W. Lefew , J. Crooks , D. Hall, J. Ortenzio, K. Dreher , and T. Shafer. In vitro screening of metal oxide nanoparticles for effects on neural function using cortical networks on microelectrode arrays.   Journal of Nanotoxicology. Taylor and Francis, Philadelphia, PA, USA, 10(5): 619-28, (2016).

Tags: microelectrode-array, nanoparticles, neurotoxicity, screening
Organization: U.S. Environmental Protection Agency
Riparian proper functioning condition assessment to improve watershed management for water quality

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).

Tags: ecological-condition-assessment, ecological-health, environmenal-health, proper-functioning-condition, tribal-sustainability, vulnerable-groups, water-quality
Organization: U.S. Environmental Protection Agency