cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23719/1411864
title: Carbonate chemistry, water quality, coral measurements

description: Carbonate chemistry parameters (pH, total alkalinity, and pCO2), water quality parameters (Temperature, salinity, Ca, Mg, PO4, NH3 and NO3)  as well as all coral measurements (buoyant weight, tissue surface area, surface area density, calcification rate, tissue growth rate, and percent change in surface area density) taken over the three month exposure.
DOI: 10.23719/1413474
title: Whiting, Indiana Refinery Canister and Tube VOC Sampling

description: VOC canister and tube data from Whiting, Indiana.
DOI: 10.23719/1418152
title: Dataset associated with ORD-025118: Using a Gene Expression Biomarker to Identify DNA Damage-Inducing Agents in Microarray Profiles

description: Datasets used in ORD-025118: Using a Gene Expression Biomarker to Identify DNA Damage-Inducing Agents in Microarray Profiles
DOI: 10.23719/1418337
title: Estimating environmental co-benefits of U.S. low-carbon pathways using the GCAM-USA integrated assessment model

description: There are many technological pathways that can lead to reduced carbon dioxide (CO2) emissions.  However, these pathways can have substantially different impacts on other environmental endpoints, such as air quality and energy-related water demand. This study uses an integrated assessment model with state-level resolution of the U.S. energy system to compare environmental impacts of alternative low-carbon pathways. One set of pathways emphasizes nuclear energy and carbon capture and storage (NUC/CCS), while another set emphasizes renewable energy (RE). These are compared with pathways in which all technologies are available. Air pollutant emissions, mortality costs attributable to particulate matter less than 2.5 microns in diameter (PM2.5), and energy-related water demands are evaluated for 50% and 80% CO2 reduction targets in the U.S. in 2050. The RE low-carbon pathways require less water withdrawal and consumption than the NUC/CCS pathways because of the large cooling demands of nuclear power and CCS. However, the NUC/CCS low-carbon pathways produce greater health benefits, mainly because the NUC/CCS assumptions result in less primary PM2.5 emissions from residential wood combustion. Environmental co-benefits differ among states because of factors such as existing technology stock, resource availability, and environmental and energy policies. An important finding is that biomass in the building sector can offset some of the health co-benefits of the low-carbon pathways even though it plays only a minor role in reducing CO2 emissions. 
This dataset consists of source code, input data, and processed outputs for Ou et al. (2018), published in Applied Energy.
DOI: 10.23719/1419854
title: Stream Tables Associated with the Case Study: Coal biomass to methanol, methanol to acetic acid, and life cycle results before and after implementing the pollution control units. All data are computer simulation results.

description: The dataset files contain the chemical process simulation results (mass and energy flows) for the production of acetic acid from coal and methanol. Also, it has the life cycle inventory (LCI) results when air emissions are treated by the pollution control unit (PCU) modules. The datasets show the full LCI input/output results from the application of the PCUs to the methanol-to-acetic acid (AA) sub-process.
DOI: 10.23719/1420321
title: Human health impact of non-potable reuse of distributed wastewater and greywater treated by membrane bioreactors

description: This dataset contains simulated annual probabilities of infection for non-potable indoor use of greywater or wastewater treated by membrane bioreactors and chlorine disinfection.  The .zip file contains .csv files for each combination of source water and pathogen; see readme file (read me file.txt) for data dictionary and file naming convention.
DOI: 10.23719/1422388
title: Reliability of in vitro methods used to measure intrinsic clearance of hydrophobic organic chemicals by fish: results of an international ring trial_Nichols et al._Science Hub entry_02232018

description: This paper describes the results of an international ring trial (round robin study) of in vitro methods used to measure chemical biotransformation in fish.  Researchers at six laboratories in the U.S. and Europe evaluated six test chemicals (cyclohexyl salicylate, fenthion, 4-n-nonylphenol, deltamethrin, methoxychlor, and pyrene) using two in vitro systems (liver S9 fraction and isolated hepatocytes) derived from rainbow trout livers.  This information was then evaluated to quantitatively characterize assay reliability (repeatability and reproducibility) and evaluate potential user bias associated with the methods.  Additional calculations were performed using established models to estimate in vivo levels of hepatic clearance and predict the effects on chemical biotransformation on chemical bioaccumulation.  The Science Hub dataset includes all information presented in the paper as figures and tables including, as appropriate, individual  values used to calculate reported means and standard deviations.  Also included are all datasets provided as Supplementary Data.
DOI: 10.23719/1422729
title: RNA-sequencing analysis of Douglas-fir transcriptome responses to diesel emissions generated with CeO2 nanoparticle additive

description: Transcriptome changes of Douglas-fir seedlings were analyzed to investigate molecular impacts of exposure to airborne emissions released from combustion of diesel fuel containing engineered cerium dioxide (CeO2) nanoparticle catalysts (DECe). We analyzed mRNA-sequencing data from exposed one-year-old needles. Our hypothesis is that 2-week chamber exposure to DECe would induce certain distinct transcriptome changes in the needles compared with responses to conventional diesel exhaust (DE) or filtered DECe Gas Phase. Blast2GO gene ontologies (GOs) enriched by significantly up-regulated DECe transcripts were nested within the GOs for DE, however, 93.5% of enriched GOs for significantly down-regulated DECe transcripts were unique. DECe attenuated expression of genes that affect functions of transferases, kinases, transmembrane transporters, transcription factors, diester hydrolases and RNA polymerase III; processes of protein phosphorylation, responses to stimuli, hormones and chemicals, carbohydrate transport, RNA polymerase III transcription, and cellular anion homeostasis; plus, components of the plasma membrane. MapMan analysis also identified RNA regulation of transcription, protein degradation, and lipid metabolism pathways that were enriched with DECe down-regulated transcripts. Divergent DECe treatment effects were associated with significantly elevated needle uptake of cerium. DE affected expression of more genes than DECe. Nevertheless, unique transcriptome profile changes suggest that chronic DECe exposure may adversely affect plant growth and development.
DOI: 10.23719/1429346
title: FEGS Classification System Document Analysis for Estuary Programs

description: List of keywords used to classify FEGS, Beneficiaries, and Environment in document analysis of estuary management programs, as well as counts of the number of plans which were flagged as mentioning each subclass of FEGS/Beneficiariies/Environment.
DOI: 10.23719/1433625
title: USGS and EPA Background Study Dataset

description: This excel spreadsheets provide the USGS and EPA background dataset (climatic variables, pathogen detection results, geochemical analysis results, topological variables, and animal location data) for the data points as collected through the NASGLP project. There is also a metadata file to explain what each variable is and where the data was retrieved from.  There is also an Excel file with data that was excluded from the larger dataset (due to missing or incomplete data, etc).
DOI: 10.23719/1434296
title: Data contributed by EPA/ORD/NERL/CED researchers to the manuscript "A New Method for Assessing the Efficacy of Emission Control Strategies to Comply with the Ambient Ozone Standard"

description: Files containing daily maximum 8-hr ozone mixing ratio observations used in the analysis presented in the manuscript “A New Method for Assessing the Efficacy of Emission Control Strategies to Comply with the Ambient Ozone Standard”
DOI: 10.23719/1434500
title: Depressed Roadways

description: This data set is associated with the results found in the journal article: Amini et al, 2018. Modeling Dispersion of Emissions from Depressed Roadways. Authors: Seyedmorteza Amini, Faraz Enayati Ahangar, David K. Heist, Steven G. Perry, Akula Venkatram. 
This paper presents an analysis of data from a wind tunnel study of dispersion of emissions from three depressed roadway configurations; a 6 m deep depressed roadway with vertical sidewalls, a 6 m deep depressed roadway with 30° sloping sidewalls, and a 9 m deep depressed roadway with vertical sidewalls. All these configurations induce complex flow fields, increase turbulence levels, and decrease surface concentrations downwind of the depressed road compared to those of the at-grade configuration. The parameters of flat terrain dispersion models are modified to describe concentrations measured downwind of the depressed roadways. In the first part of the paper, a flat terrain model proposed by van Ulden (1978) is adapted. It turns out that this model with increased initial vertical dispersion and friction velocity is able to explain the observed concentration field. The results also suggest that the vertical concentration profiles of all cases under neutral conditions are best explained by a vertical distribution function with an exponent of 1.3. In the second part of the paper, these modifications are incorporated into a model based on the RLINE  line-source dispersion model. While this model can be adapted to yield acceptable estimates of near-surface concentrations (z< 6m) measured in the wind tunnel, the Gaussian vertical distribution in RLINE, with an exponent of 2, cannot describe the concentration at higher elevations. Our findings suggest a simple method to account for depressed highways in models such as RLINE and AERMOD through two parameters that modify vertical plume spread.
DOI: 10.23719/1434501
title: Building downwash large eddy simulations

description: This data set is associated with the results found in the journal article: Foroutan et al, 2018. Numerical analysis of pollutant dispersion around elongated buildings: an embedded large eddy simulation approach. Atmospheric Environment, https://doi.org/10.1016/j.atmosenv.2018.05.053. 
The objective of the paper is to employ a scale-resolving turbulence model, namely the embedded LES (ELES), to study near-field pollutant dispersion around elongated/rotated buildings. It includes the evaluation of the ELES performance against wind tunnel measurements, as well as the analysis of the computational results for various source-building geometries while emphasizing the aspects important for dispersion modeling.
DOI: 10.23719/1435027
title: Arsenic speciation results

description: The dataset is a table that shows soil samples with corresponding total arsenic concentrations, arsenic bioavailability values, and linear combination fitting results of synchrotron speciation results.
DOI: 10.23719/1435427
title: Clarksburg green infrastructure data

description: This data set includes 5-minute time series runoff and precipitation data of neighborhood catchments with a variety of stormwater control measures, and definition of individual precipitation-runoff events and associated runoff metrics. Also included are geospatial data that delineates the neighborhood catchments with their land use/land cover and stormwater infrastructure.
DOI: 10.23719/1435502
title: H2O2 quant_SciHub_2018

description: Data summary for each figure.
DOI: 10.23719/1500003
title: Iodotyrosine deiodinase: mRNA expression and experimental inhibition study in Xenopus laevis

description: This excel file contains the resultant data from a study on iodotyrosine deiodinase in the model amphibian species, Xenopus laevis. These data include: tadpole growth and development, thyroid hormones in plasma and glands, and expression of thyroid-relevant genes. The initial worksheet tab that provides metadata for each dataset included in the other worksheets that make up the file.
DOI: 10.23719/1500436
title: Non Targeted MS1 Features from the analysis of water extracts from the Cape Fear River in May 2017

description: Application of non-targeted screening to the Cape Fear River of North Carolina in 2016-2018 detailing a location impacted by fluorochemical manufacturing. Dataset contains raw picked peaks from chromatographic separation and MS1 identification, as well as identification based on manual examination of MS2 fragment spectra. Tentative structural identifiers are provided.
DOI: 10.23719/1500851
title: Data set for co-contaminant paper

description: The objective of this research was to evaluate the performance of five arsenic adsorptive media technology of full-scale drinking water treatment systems in the USEPA Arsenic Demonstration Program (ADP) that were found to simultaneously remove other co-occurring inorganic contaminants. The datasets presented here are the figures included in the referenced journal article.
DOI: 10.23719/1500867
title: datasets for journal article_adapting urban BMPs for resilience

description: The two excel files contain data for the results discussed and presented in the paper's figures and tables from the SUSTAIN modeling runs for the 5 sites included in this study.
DOI: 10.23719/1502466
title: Copper Silver Ionization at a hospital dataset

description: Temperature, pH, chlorine, copper and silver levels at a hospital employing copper-silver ionization to control Legionella bacteria
DOI: 10.23719/1502469
title: Tong EPA smog manuscript dataset

description: cardiovascular responses of exposure to simulated smog atmospheres in   animals.
DOI: 10.23719/1502505
title: Diflubenzuron_Science Hub_Data_FINAL

description: Dataset for figures included in associated publication.
DOI: 10.23719/1502509
title: CMAPS Dataset Coarse PM exacerbates allergic airway responses in mice.

description: The dataset contains the original data relevant for each figure or table in the cleared publication. The excel file has tabs labelled for each figure (Figures 1-4) or table (tables 1-3). Figure 5 in the paper shows representative histology figures, and so is not linked to data other than as representative of table 3 (histology). Table 1 has 3 tabs for PM collection at the CLM site, PM collection at the GTC site, and for chemistry. Table 2 is represented on 1 tab for biochemistry. Table 3 has 2 tabs for the raw histopathology data for the statistics and summary.
DOI: 10.23719/1502579
title: Glucocorticoid Ligand Mixtures Bioassay 2

description: Raw data for glucocorticoid receptor ligand exposure experiments.
DOI: 10.23719/1502607
title: GC/MS data from the metabolomic profiling of green frog livers after exposure to pesticides and their mixtures. 

description: GC/MS metabolomic data from livers of amphibians exposed to pesticides.
DOI: 10.23719/1502637
title: Novel Fast Analysis Method Dataset 09-2018

description: Recovery data from microbiological analysis procedures developed to speed Bacillus anthracis environmental sample analysis following a biological incident.
DOI: 10.23719/1503168
title: LCF datatables for Cd speciation distribution

description: Linear combination datatables showing the distribution of Cd speciation upon sorption to biochar.
DOI: 10.23719/1407656
title: Data for MAMA Study and modeled predictions for PBDEs

description: Data set contains concentrations of persistent organic chemicals measured breast milk and blood for a small cohort of North Carolina women
DOI: 10.23719/1408091
title: Dataset for manuscript "Mixed “anti-androgenic” chemicals at low individual doses produces reproductive tract malformations in the male rat"

description: Dataset contains summary data (mean, standard error, sample size (n)) for all measured endpoints reported and depicted in the corresponding manuscript.
DOI: 10.23719/1413477
title: MBRs LCI and LCIA data

description: This study calculated the cumulative energy and greenhouse gas (GHG) life cycle and cost profiles of transitional aerobic membrane bioreactors (AeMBR) and anaerobic MBRs (AnMBR). Membrane bioreactors (MBR) represent a promising technology for decentralized wastewater treatment and can produce recycled water to displace potable water. Energy recovery is also possible with methane generated from AnMBRs. In this study, scenarios for these technologies were investigated for different scale systems serving various population densities under various climate conditions with multiple methane recovery options. Details of the GHG life cycle and cost profiles for the AeMBR and AnMBR can be found in AeMBR_LCI_Cost_9-9-15.xls and AnMBR_LCI_Cost_9-9-15.xls respectively. Results of the previously described comparisons can be found can be found in MBR_LCIAResults_9-9-15.xlsx
DOI: 10.23719/1413517
title: WSON_Coweeta_Chen et al_2017

description: Datasets describing bulk and speciated water soluble organic nitrogen and carbon species in 24 hour high volume PM samples.
DOI: 10.23719/1418809
title: Biotrickle Filtration of Trihalomethanes

description:  This study involves the use of biofiltration, which is a control technique to degrade trihalomethanes using a bioreactor containing living material to capture and biologically degrade pollutants. Common uses include processing waste water, capturing harmful chemicals or silt from surface runoff, and microbiotic oxidation of contaminants in air.
DOI: 10.23719/1423208
title: Bacterial community on biofilms from MAIFAS reactors

description: Sequence reads (16S rDNA- and 16S rRNA-based) were processed and analyzed using Mothur software. The results presented in the attached Excel file. Also, the other MS word file includes taxonomic summary tables for bacterial communities on biofilms from the MAIFAS reactor as well as the detailed description of Materials & Methods.
DOI: 10.23719/1424031
title: Florida Estuary Optics 2009-2012

description: Small boat surveys were conducted in four Florida estuaries along the northern Gulf of Mexico from September 2009 through January 2012.  The systems selected represent a range of optical characteristics (e.g., high vs. low particulate loads) and were of sufficient size to be adequately resolved with remote sensing imagery. The systems sampled were Pensacola Bay, Choctawhatchee Bay, St. Andrews Bay, and St. Joseph Bay.  Field data collection included discrete water samples, profiling water quality data, and above/below water in-situ hyperspectral optical measures..
DOI: 10.23719/1424691
title: Enhancements to AERMOD’s Building Downwash Algorithms based on Wind-Tunnel and Embedded-LES Modeling -BDW-2

description: This data set is associated with the results found in the journal article: Monbureau et al, 2018. Enjancements to AERMOD's building downwash algorithms based on wind-tunnel and Embedded-LES modeling. Atmospheric Environment, https://doi.org/10.1016/j.atmosenv.2018.02.022. 
The goal of this study is to improve AERMOD's ability to accurately model important and complex building downwash scenarios by incorporating knowledge gained from a recently completed series of wind tunnel studies and complementary large eddy simulations of flow and dispersion around simple structures for a variety of building dimensions, stack locations, stack heights, and wind angles. This study presents three modifications to the building downwash algorithm in AERMOD that improve the physical basis and internal consistency of the model, and one modification to AERMOD's building pre-processor to better represent elongated buildings in oblique winds. These modifications are demonstrated to improve the ability of AERMOD to model observed ground-level concentrations in the vicinity of a building for the variety of conditions examined in the wind tunnel and numerical studies.
DOI: 10.23719/1434005
title: Method Comparison Manuscript

description: Coliphage are alternative fecal indicators that may be suitable surrogates for viral pathogens, but a majority of standard detection methods utilize insufficient sample volumes (1-100 mL) for routine detection in environmental waters. Here we compare three somatic and F+ coliphage enumeration methods based on a paired measurement from 1L samples collected from the Great Lakes region (n=74). Methods include: 1) a dead-end hollow fiber ultrafilter combined with single agar layer plaque assay (D-HFUF-SAL); 2) a modified SAL (M-SAL); and 3) a direct membrane filtration (DMF) technique. Overall, D-HFUF-SAL outperformed all other methods as it yielded the lowest frequency of non-detects [(ND); 10.8%] and the highest average coliphage concentrations (2.51 ± 1.02 log10 plaque forming unit/liter (PFU/L) and 0.79 ± 0.71 log10 PFU/L for somatic and F+, respectively). M-SAL yielded 29.7% ND and average concentrations of 2.26 ± 1.15 log10 PFU/L (somatic) and 0.59 ± 0.82 log10 PFU/L (F+). DMF performed worse compared to D-HFUF-SAL and M-SAL methods (ND of 65.6%; average somatic coliphage concentration 1.52 ± 1.32 log10 PFU/L, with no F+ detected), indicating this procedure is unsuitable for 1L surface water sample volumes. This study represents an important step toward the use of a coliphage method for recreational water quality criteria purposes.
DOI: 10.23719/1434491
title: Phosphate recovery from water using cellulose enhanced magnesium carbonate pellets: Kinetics, isotherms, and desorption

description: Phosphate recovery from water using cellulose enhanced magnesium carbonate pellets: Kinetics, isotherms, and desorption
DOI: 10.23719/1435450
title: Supporting data for "Conway, G., Robertson, D., Chadwell, C., McDonald, J. et al. 2018 Evaluation of Emerging Technologies on a 1.6 L Turbocharged GDI Engine. SAE 2018-01-1423" V1

description: Low-pressure loop exhaust gas recirculation (LP- EGR) combined with higher compression ratio, is a technology package that has been a focus of research to increase engine thermal efficiency of downsized, turbocharged gasoline direct injection (GDI) engines. Research shows that the addition of LP-EGR reduces the propensity to knock that is experienced at higher compression ratios. To investigate the interaction and compatibility between increased compression ratio and LP-EGR, a 1.6 L Turbocharged GDI engine was modified to run with LP-EGR at a higher compression ratio (12:1 versus 10.5:1) via a piston change. This work includes the results of baseline testing on an engine run with a prototype controller and initially tuned to mimic an original equipment manufacturer (OEM) baseline control strategy running on premium fuel (92.8 anti-knock index). This paper then presents test results after first adding LP-EGR to the baseline engine, and then also increasing the compression ratio (CR) using 12:1 pistons. As a last step, the 10.5 CR engine with LP-EGR was run on regular fuel (87.7 anti-knock index) to verify that this configuration could be calibrated to maintain performance like the baseline engine running on premium fuel. To understand the effect of each technology and operating strategy combination on vehicle fuel economy, the various engine maps were compared in EPA’s Advanced Light-Duty Powertrain and Hybrid Analysis (ALPHA) tool over U.S. regulatory drive cycles. This work was done as part of the EPA's continuing assessment of advanced light-duty automotive technologies to support a Midterm Evaluation of Light-duty Vehicle GHG Standards.
DOI: 10.23719/1500026
title: LaneCharles_A-zpd2_Data_30042018.xlsx

description: Data associated with the paper, "Decision-Tree, Rule-Based, and Random Forest Classification of High-Resolution Multispectral Imagery for Wetland Mapping and Inventory"
DOI: 10.23719/1500446
title: Investigating the role of distributed energy in the industrial and commercial sectors in the U.S. to attain greenhouse gas reductions goals 

description: The dataset presents the metadata going into Figures presented in the manuscript.