cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23719/1519248
title: Data for Dispersion at the Edges of Near-Road Barriers

description: The data is from a wind tunnel study conducted to examine the dispersion of traffice-related emissions at the edges of near-road noise barriers. The data were collected in the EPA's meteorological wind tunnel using a hydrocarbon tracer to simulate emissions from a roadway. The data are presented as normalized concentration distributions (as described in the accompanying paper) for a number of different near road noise barrier configurations.
DOI: 10.23719/1519295
title: Data for: Using Transmission Data to Isolate Individual Losses in Coastdown Road Load Coefficients 

description: 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.
DOI: 10.23719/1519296
title: Simultaneous determination of a suite of endogenous steroids by LC-APPI-MS: Application to the identification of endocrine disruptors in aquatic toxicology

description: A liquid chromatogrpahy mass spectrometry (LC-MS) method was developed for the analysis of 13 endogenous steroids. The method was validated using both fish plasma and fish holding water. The method was applied to the assessment of endocrine disruption by analyzing plasma of fathead minnows exposed to fadrozole, and by analyzing holding water from Japanese medaka exposed to fadrozole.
DOI: 10.23719/1519353
title: Dataset from "Regional Ozone-Temperature Relationships Across the U.S. Under Multiple Climate and Emissions Scenarios", by Nolte et al.

description: This file describes the dataset used in the following article: 

Nolte, C. G., Spero, T. L., Bowden, J. H., Sarofim, M. C., Martinich, J., Mallard, M. S., Fann, N., "Regional Temperature-Ozone Relationships Across the U.S. Under Multiple Climate and Emissions Scenarios," 2020.

MODEL VERSION AND CONFIGURATION

The Community Multiscale Air Quality (CMAQ) model was used. The model is open source and can be freely downloaded at
http://github.com/USEPA/CMAQ. The specific code version used in this study was based on a pre-release version of CMAQ 5.3, with minor modifications to accommodate the USGS28 land-use scheme used in WRF. The model source code is included in the "src" directory.

The meteorological input data for CMAQ were derived from outputs of the Community Earth System Model (CESM) and the Coupled Model version 3 (CM3) following Representative Concentration Pathway (RCP) 8.5, which represents a relatively high warming scenario.  The CESM and CM3 fields were downscaled to 36-km grid cells over North America using the Weather Research and Forecasting model. The downscaling and air quality modeling procedure are described in the associated manuscript (Nolte et al., submitted manuscript, 2020) and references therein.

CMAQ simulations were conducted using the meteorology downscaled from the two climate models and using two different sets of anthropogenic emissions: the 2011 National Emission Inventory and a 2040 projection developed for analysis of the Heavy Duty Greenhouse Gas Rule. This 2040 projection represents significant reductions relative to present-day of pollutant emissions, including nitrogen oxides (NOx), sulfur dioxide, and volatile organic compounds (VOCs). See U.S. EPA (2016) for further information on the anthropogenic emissions. Climate-sensitive VOCs emitted from vegetation, e.g., isoprene, were modeled within CMAQ using the downscaled meteorological projections from WRF. 

CMAQ was used to simulate air pollutant concentrations over the continental United States using grid cells with 36km x 36km horizontal spacing, with the height of the lowest model layer around 38 m. Further details on the model configuration and input data are described in the manuscript.

Figures used in this paper were prepared using version 3.6.1 of the R programming language. R is open source, and can be downloaded at www.r-project.org. The R scripts are labeled according to their figure number, and reference all data needed to generate the figures, which are located in the "figs" folder.
DOI: 10.23719/1519378
title: Data mining approaches to quantifying the formation of secondary organic aerosol

description: This research used data mining approaches to better understand factors affecting the formation of secondary organic aerosol (SOA). Although numerous laboratory and computational studies have been completed on SOA formation, it is still challenging to determine factors that most influence SOA formation. Experimental data were based on previous work described by Offenberg et al. (2017), where volume concentrations of SOA were measured in 139 laboratory experiments involving the oxidation of single hydrocarbons under different operating conditions. Three different data mining methods were used, including nearest neighbor, decision tree, and pattern mining. Both decision tree and pattern mining approaches identified similar chemical and experimental conditions that were important to SOA formation. Among these important factors included the number of methyl groups, the number of rings and the presence of dinitrogen pentoxide (N2O5).
DOI: 10.23719/1519411
title: MAC Manuscript

description: Culture presence/absence of M. avium and M. intracellulare by sample
qPCR M. avium and M. intracellular detection and quatification by sample.
DOI: 10.23719/1520131
title: Final Prenatal Dataset

description: Full data tables presented in the Supplemental Information in Excel format.
DOI: 10.23719/1520136
title: (Data Set) Integrating Study Reporting Templates into the Manuscript Submission Process: A Pilot Data Extraction Exercise Feasibility Study (Authors share their opinions and provide user feedback on their data extraction user experience).

description: This file contains participant response data to Likert scale, open-ended responses and self-reported time taken to complete various tasks related to the extraction exercise.  This Excel file also contains:

1)	Examples of the Interactive HAWC Visuals that can be created after extracting data into the template.
2)	The Initial Post-Extraction Survey Tool ("Survey 1")
3)	The Final Post-Pilot Survey Tool ("Survey 2")
4)	Survey 2 Results: Willingness to Consider Structured Data During Publication Process (Table 2)
5)	Survey 1 Results: Participant Self-Reported Time Spent Performing Various Pilot Tasks (Table 3)
6)	Survey 1 Results:  Summary of Technical Assistance Provided by Team Members (Table 4)
7)	Survey 2 Results: Participant Responses Describing Pilot's Impact on Future Research Activities (Table 5)
8)	Survey 1 Results:  Initial Survey Likert Scale Results (Table 6)
9)	Repeat Extraction: Comparison of the First and Second Data Extraction Experience (Among the Same Participant)
10)	Survey 1 Results: Problematic & Easy Fields to Extract.
DOI: 10.23719/1520579
title: Parent phototransformation and product formation rates from internal and external evaluation datasets

description: Tables S1 and S2 provide photolysis transformation rate data compiled from the scientific literature and EFSA reports, respectively.  Table S3 provides rank assignments for each transformation scheme in the CTS reaction library for direct photolysis.  The Documentation sheet provides SMILES strings for example parent molecules and reported photolysis transformation products.
DOI: 10.23719/1520730
title: Indianapolis Research Duplex Total Database

description: Dataset includes VOC concentrations in ambient air, soil gas, subslab gas, and indoor air; radon measurements from the same locations as the VOC concentrations; weather data; groundwater levels and VOC concentrations in the groundwater; and sampling times and dates.  Predominant VOCs are PCE, TCE, and chloroform.
DOI: 10.23719/1520911
title: Lake Erie HABs Grab research

description: The dataset contains the raw data used for the correlation analyses.
DOI: 10.23719/1520921
title: Quantifying wintertime O3 and NOx formation with relevance vector machines

description: Underlying data associated with figures in publication
DOI: 10.23719/1520974
title: Practical Implications of Perfluoroalkyl Substances Adsorption on Bottle Materials: Isotherms and Sub-Sampling (V1)

description: The dataset includes the data used to generate figures in the manuscript and SI.
DOI: 10.23719/1521027
title: Data for Martin et al_Zebrafish irritant responses to wildland fire-related biomass smoke are influenced by fuel type, combustion phase, and byproduct chemistry

description: This data set contains the values used to generate the tables and figures in the manuscript.
DOI: 10.23719/1521112
title: Machine Learning Modeling of Water Quality Based Risk Assessment

description: This is the geospatial and hydroclimate input data used to develop data-driven Machine Learning (ML) models as well as model estimated water quality based risk metrics and watershed health composite measure in three river basins in the Midwest. Model outputs that are used to construct the figures in the paper are displayed in the Excel file with the definitions of the data reported in each datasheet. The directory to the GIS data that were used to construct the inputs and spatially distributed risk metrics at the HUC-10 level is listed here and in the Scientific Data Management Plan
DOI: 10.23719/1521159
title: Data associated with article virus transport from drywells under constant head conditions: a modeling study

description: The spreadsheet accompanies the journal article Sasidharan et al (2021) Water Research, Virus transport from drywells under constant head conditions: a modeling study.  The worksheets include metadata and data associated with all Tables and Figures.  The spreadsheet includes a link to the PC-PROGRESS website that contains examples HYDRUS (2D/3D) run files for the drywell setup discussed in the paper.
DOI: 10.23719/1521326
title: PISCES lung dataset

description: This dataset contains ambient air pollution data during the study period and lung function and biomarkers data.
DOI: 10.23719/1522413
title: TRACIv2.1 for FEDEFLv1

description: TRACIv2.1 (Bare 2012) is a life cycle impact assessment (LCIA) method. LCIA methods are collections of characterization factors, which are measures of relative potency or potential impact, for a given flow (e.g., NH3 to air) for a set of impact categories (e.g., acidification), provided in units of potency or impact equivalents per unit mass of the flowable associated with a given context (e.g., 1.88 kg SO2 eq/kg NH3 emitted to air). LCIA methods are typically used along with life cycle inventory data to estimate potential impacts in life cycle assessment (LCA).

The FEDEFL or Federal LCA Commons Elementary Flow List (EPA 2019) is the standardized elementary flow list for use with data meeting the US Federal LCA Commons data guidelines.

In this dataset, TRACv2.1 is applied to FEDEFL v1.0.7  flows. This dataset was created by the LCIA Formatter v1.0 (https://github.com/USEPA/LCIAformatter). The LCIA Formatter is a tool for providing standardized life cycle impact assessment methods with characterization factors transparently applied to flows from an authoritative flow list, like the FEDEFL. The LCIA Formatter draws from the original TRACIv2.1 source file and the TRACI->FEDEFL flow mapping. The LCIA formatter accesses this mapping file through the fedelemflowlist tool available @ https://github.com/USEPA/Federal-LCA-Commons-Elementary-Flow-List. This mapping file and a note about the mapping are provided separately. Where a flow context is less specific in the FEDEFL (e.g., air) relative to the TRACIv2.1 flow contexts (e.g., air/rural), the LCIA Formatter applies the average of the relevant characterization factors from TRACIv2.1 to the FEDEFL flow. 

The zip file is a compressed archive of JSON files following the openLCA schema at https://greendelta.github.io/olca-schema. Usage Notes for zip file: This file was tested to correctly import into an openLCA v1.10 database already containing flows from the FEDEFL v1.0.7. It will provide matching characterization factors for any FEDEFL v1.0 to 1.0.7 elementary flow already present in the database. This file itself does not contain the elementary flows. The complete FEDEFL v1.0.7 flow list may be retrieved from the Federal LCA Commons elementary flow list repository @ https://www.lcacommons.gov
The .parquet file is in the LCIA Formatter's LCIAmethod format. https://github.com/USEPA/LCIAformatter/blob/v1.0.0/format%20specs/LCIAmethod.md
Usage notes for parquet file: The .parquet file can be read in by any Apache parquet reader. 

References
Bare, J. C. 2012. Tool for the Reduction and Assessment of Chemical and Other Environmental Impacts (TRACI), Version 2.1 - User’s Manual https://www.epa.gov/chemical-research/tool-reduction-and-assessment-chemicals-and-other-environmental-impacts-traci
EPA 2019. The Federal LCA Commons Elementary Flow List: Background, Approach, Description and Recommendations for Use. https://cfpub.epa.gov/si/si_public_record_Report.cfm?dirEntryId=347251
DOI: 10.23719/1522589
title: SFBR-Bed Load -Bradshaw

description: Fecal indicator concentrations, and water quality physico-chemical parameters
DOI: 10.23719/1522679
title: Wash Down Data Set

description: These data are of spore removal from an asphalt parking lot using a power washer and garden hose and different wash aids.
DOI: 10.23719/1523018
title: Differential effects of four nano and one micro CeO2 particles on HepG2 cells

description: Differential expressed gene lists and altered canonical pathways  in HepG2  cells after CeO2 particle treatment
DOI: 10.23719/1523147
title: Wipe sampling effects on method performance for pesticide misuse chemicals on urban materials

description:  Wipe sampling variables were evaluated to determine their effects on recovery results for commonly misused pesticides on surfaces.
DOI: 10.23719/1524241
title: Mosquito and Pathogen Relationships for Network Analysis

description: This data contains the data file of mosquito-pathogen relationships and literature-based evidence for wild infection, lab infection, lab dissemination, lab transmission, or known vector, and the associated output from network analysis.
DOI: 10.23719/1524674
title: PRASA coral survey data

description: The data were collected by Puerto Rico Aquaduct and Sewer Authority between 1999-2013 and provide the percent coverage of coral taxa at survey sites described in the associated manuscript. Data were used to determine if any significant differences in coral coverage could be detected in sites based on proximity to waste water treatment plant outflow pipes.
DOI: 10.23719/1504033
title: Xenpous leavis deiodinase type 3 enzyme activity characterization and chemical screening data

description: Data set includes optimized assay parameters and kinetic characterization for xenopus laevis deiodinase type 3 enzyme, and inhibition activity of 352 ToxCast chemicals against this enzyme.
DOI: 10.23719/1517660
title: Data used to produce figures and tables

description: The included data set are the data used to create figures/tables in the paper.
DOI: 10.23719/1518408
title: Data for Knowing Your Audience: A Typology of Smoke Sense Participants to Inform Wildland Fire Smoke Health Risk Communication, 2017 - 2019

description: Data sets for Knowing Your Audience: A Typology of Smoke Sense Participants to Inform Wildland Fire Smoke Health Risk Communication, including data from the Smoke Sense mobile app collected August 2017 through May 2019.
DOI: 10.23719/1518425
title: SWAT Model Data

description: These data represent the underlying figures and tables of the manuscript.
DOI: 10.23719/1518544
title: Chlorophyll and microcystin data for Yuan and Pollard 2019

description: Matched chlorophyll a and microcystin measurements from Iowa reservoirs. National Lakes Assessment data available at the provided link.
DOI: 10.23719/1518603
title: Modeling PFAS Removal Using Granular Activated Carbon for Full-Scale System Design

description: This dataset consists of example model outputs for PFAS removal by GAC. Explicit descriptions of the data can be found in the associated manuscript.
DOI: 10.23719/1518645
title: Male Fathead Minnow Transcriptomes and Associated Chemical Analytes in Milwaukee Estuary System

description: This dataset presents the full hepatic transcriptomes of fathead minnows (Pimephales promelas) caged for four days at multiple sites within the Milwaukee Estuary area of concern and additional control sites. At these same sites over the same period of exposure, time integrated water samples were collected and assessed for the presence of over 170 relevant chemical analytes. Access to both full sequencing of fish samples as well as water contaminant data will allow others to explore the health of these ecosystems.
DOI: 10.23719/1518672
title: Specific Conductivity Stream Network Modeling Eastern Kentucky Watershed Data, Code and Analysis HTMLS

description: This data is for 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. The htmls files can be opened with a browser such as Internet Explorer or Chrome.
DOI: 10.23719/1518759
title: Examining NTA Performance and Potential Using Fortified and Reference House Dust as Part of EPA's Non-Targeted Analysis Collaborative Trial (ENTACT)

description:        The current study focuses on the analysis of SRM 2585 extracts that were distributed as part of ENTACT. It further introduces a separate recovery experiment, using SRM 2585, designed to shed light on factors that affect analyte loss during extraction, cleanup, instrumental analysis, and data processing. Many compounds have been measured and reported in SRM 2585 to date; cross-referencing these compounds against those detected via NTA provides a unique means with which to critically evaluate NTA performance in a real-world context. The recovery experiment described herein further informs factors (e.g., matrix, extraction procedures) that influence compound identification using NTA. Finally, by analyzing the same mixture of compounds at different concentrations and in the presence and absence of dust matrix, the performance of NTA is evaluated here from a quantitative perspective, rather than a typical qualitative perspective.
DOI: 10.23719/1519085
title: Chern et al 2020 SciHUB Data

description: Concentration estimates of culturable cells and genetic markers for different fecal indicator bacterial groups in freshwater microcosms inoculated with disinfected and non-disinfected wastewaters and held for 0-6 days at different temperatures reflecting different seasons, i.e. winter, summer, spring/fall
DOI: 10.23719/1519284
title: Intersection of Natural Hazard Vulnerability and Superfund Site Location

description: Spreadsheet lists all active and upcoming Superfund sites and their vulnerability to 12 natural hazards using a vulnerability score between 0 and 100.
DOI: 10.23719/1519338
title: Unit and Regression Tests of Scientific Software: A Study on SWMM

description: Testing helps assure software quality by executing programs and uncovering bugs. Scientific software developers often find it challenging to carry out systematic and automated testing due to reasons such as inherent model uncertainties and complex floating-point computations. Extending the recent work on analyzing the unit tests written by the developers of the Storm Water Management Model (SWMM), we report in this paper the investigation of both unit and regression tests of SWMM. The results show that the 1,458 SWMM tests have a 54.0% code coverage and an 82.4% User’s Manual coverage. Meanwhile, an examination of eight regression tests from a test set shows a 79.5% code coverage and a near 100% User’s Manual coverage. We also observe a “getter-setter-getter” testing pattern from the SWMM unit tests and suggest a diversified way of designing or adopting regression tests.
DOI: 10.23719/1519355
title: Ozone-induced Changes in Oxidative Stress Parameters in Brain regions of Adult, Middle-age, and Senescent Brown Norway Rats

description: This data set was used for the manuscript titled "Ozone-induced Changes in Oxidative Stress Parameters in Brain regions of Adult, Middle-age, and Senescent Brown Norway Rats". It includes various biochemical endpoints and neurobehavior.
DOI: 10.23719/1520048
title: Case study in 21st century ecotoxicology:  using in vitro aromatase inhibition data to predict short term in vivo responses in adult female fish

description: This research was designed to evaluate whether a biologically-based computational model aligned with an adverse outcome pathway (AOP) could effectively predict animal (in vivo) responses to chemicals shown to inhibit the enzyme aromatase in a non-animal (in vitro) screening assays. Aromatase is an enzyme that plays a critical role in the synthesis of estrogens, an important class of hormones, and chemicals that inhibit aromatase are viewed as probable endocrine disrupting compounds. Although the model was not able to accurately predict the average in vivo responses observed for all chemicals tested, there was strong qualitative to semi-quantitative agreement with the proposed AOP and predictions did fall within the distribution of measured values. Consequently, this “new approach methodology” likely has utility for screening-level assessments. This work helps to establish the confidence and limitations of this approach.
The data set includes:
1) High throughput screening results for chemicals identified as aromatase inhibitors. 2) Novel in vitro aromatase inhibition data for six chemicals. 3) Modeled predictions of impacts on 17b-estradiol and vitellogenin concentrations over a range of concentrations. 4) Measured biological effects of 3 aromatase inhibitors in fathead minnows exposed for 24 h. 5) Measured plasma and water concentrations of the test chemicals.
DOI: 10.23719/1520064
title: Lake Superior Lower Food Web Surveys: Diporeia density and biomass, 2006, 2011, 2016

description: This dataset contains measures of density and biomass of the amphipod Diporeia spp. from lake-wide surveys of Lake Superior conducted in 2006, 2011, and 2016.  The file also includes site information from the survey design.
DOI: 10.23719/1520123
title: Revisiting Five Years of CASMI Contests with EPA Identification Tool

description: An investigation was performed on each of the individual CASMI datasets to identify whether the chemicals were present in DSSTox, the database underlying the Dashboard (see Methods for details). As our identification workflow relies on database presence, the presence or absence of a chemical in the database is clearly highly influential in terms of overall performance. Results from the dataset assembly analysis from each CASMI year dataset are presented in Table 1 and described in detail by dataset year below (complete datasets are provided in Supplemental File 2 and available as lists on the Dashboard).
DOI: 10.23719/1520135
title: PMF source apportionment model dataset inputs and outputs for 9 northwest monitoring sites with data from 2007 to 2018.

description: PMF source apportionment model dataset inputs and outputs for 9 northwest monitoring sites with data from 2007 to 2018.
DOI: 10.23719/1520447
title: Dataset of Sorption and migration of organophosphate flame retardants between sources and settled dust

description: The data presented in this data file is a product of a journal publication. The dataset contains OPFR sorption and migration concentrations on settled dust and comparison to literature data.
DOI: 10.23719/1520461
title: Little Lusk Creek and Sycamore Branch

description: Aquatic invertebrate taxonomic composition (abundance) and flow intermittency data from Little Lusk Creek and Sycamore Branch