cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23719/1529613
title: 3D Printers Emissions of Environmentally Persistent Free Radicals (EPFRs)

description: Polymers used in 3D printing are known to emit hazardous materials when heated. While the emissions from pristine polymers and some filaments have been studied, many filaments contain additives that may influence their hazardous emissions. This research used a variety of commercially-available 3D printer filaments to assess the possibly formation of environmentally persistent free radicals (EPFRs), a class of surface-bound free radicals that have much longer lifetimes compared to their gas-phase counterparts. Electron paramagnetic resonance (EPR) spectroscopy was used to successfully identify EPFRs in particulate matter collected during regular 3D printer use. These findings should influence future studies on 3D printer emissions to include consideration of EPFR formation. These methodologies may be used by EPA's Chemical Safety and Pollution Prevention (OCSPP), Consumer Protection and Safety Commission (CPSC), and National Institute of Occupational of Safety and Health (NIOSH).
DOI: 10.23719/1529746
title: Datasets for manuscript: Generic Exposure Assessment of End-of-Life Material Management in Additive Manufacturing

description: As described in the README.md file, the GitHub repository https://github.com/gruizmer/Generic_Exposure_Assessment_EoL_AdditiveManufacturing contains the data supporting the generic exposure assessment associated with the management of end-of-life (EoL) materials following additive manufacturing. This repository contains an Excel spreadsheet used to calculate material flow of materials exiting additive manufacturing. Parameters and assumptions are listed in the “EoL Material Flow Analysis” Tab. All references leading to the necessary parameters and assumptions are listed in the “Reference ID” tab. The identity of EoL materials is available as Table S1 in the word information document titled “Chea et al - GS AM EoL Analysis_SupportingInfo”.
DOI: 10.23719/1529809
title: Durden et al data for SciHub 2023

description: Data corresponding to figures in manuscript.
DOI: 10.23719/1529823
title: qPCR mastersheet-mod-no-CoV2

description: This data set contains information on the concentration of selected gastrointestinal viral and bacterial pathogens extracted from raw wastewater.
DOI: 10.23719/1529983
title: Columbia River Scenario Temperatures and Shade

description: This dataset includes supporting data for the paper "Riparian vegetation shade restoration and loss effects on recent and future stream temperatures" by Fuller et al. 2022.  Data include temperature predictions for stream reaches in the MidColumbia and Oregon Coast NorWEST processing units for different vegetation (current vegetation, restored riparian vegetation, and riparian vegetation removal) and climate change scenarios (years 2000, 2040, and 2080).  Also included are percent shade estimates for the same scenarios and temperature and discharge associated with tributary outlets to the Columbia River.
DOI: 10.23719/1530077
title: Data associated with the figures in the GLIMPSE 1.1 Users' Guide

description: The GLIMPSE Users' Guide includes many figures, including those that illustrate the tutorials and key results from the Reference Case scenario. This dataset includes the underlying data depicted in those figures.
DOI: 10.23719/1530080
title: From Protein Sequence to Structure: The Next Frontier in Cross-Species Extrapolation for Chemical Safety Evaluations

description: Supplemental data for "LaLone CA, Blatz DJ, Jensen MA, Vliet SMF, Mayasich S, Mattingly KZ, Transue TR, Melendez W, Wilkinson A, Simmons CW, Ng C, Zhang C, Zhang Y. From Protein Sequence to Structure: The Next Frontier in Cross-Species Extrapolation for Chemical Safety Evaluations. Environ Toxicol Chem. 2023 Feb;42(2):463-474. doi: 10.1002/etc.5537. Epub 2023 Jan 16. PMID: 36524855."
DOI: 10.23719/1530090
title: Multi-pollutant BenMAP Analysis Data

description: Air quality data for Georgia for the years 2011 and 2025 for the pollutants: CO, EC, NH4, NO2, NO3-, O3, OC, PM2.5, SO2, SO4, and Secondary PM2.5. In addition the beta coefficients for single and multipollutant models and the accompanying variance-covariance matrix from Winquist et al. (2014), which examined single and multipollutant exposures and pediatric asthma ED visits.
DOI: 10.23719/1530091
title: Putative adverse outcome pathway development based on physiological responses of female fathead minnows to model estrogen versus androgen receptor agonists

description: "Morshead ML, Jensen KM, Ankley GT, Vliet S, LaLone CA, Aller AV, Watanabe KH, Villeneuve DL. Putative adverse outcome pathway development based on physiological responses of female fathead minnows to model estrogen versus androgen receptor agonists. Aquat Toxicol. 2023 Aug;261:106607. doi: 10.1016/j.aquatox.2023.106607. Epub 2023 Jun 9. PMID: 37354817."
DOI: 10.23719/1530098
title: Narragansett Bay hypoxia history core locations

description: Table providing the date, time and locations of sediment cores used in this study
DOI: 10.23719/1530114
title: Characterizing Chemical Exposure Trends from NHANES Urinary Biomonitoring Data

description: Supplementary material for "Characterizing Chemical Exposure Trends from NHANES Urinary Biomonitoring Data"
DOI: 10.23719/1530541
title: Coastal Generalized Ecosystem Model (CGEM) 1.0: A Complex Biogeochemical Model for Simulating Lower Trophic Levels and Ecosystem Dynamics

description: These data describe CGEM functional form output for optional model formulations. These data also include post-processed simulation outputs applied to develop figures in the manuscript.
DOI: 10.23719/1530702
title: TWP Field Samples PyGCMS Data Set 20240410

description: The dataset contains chromatographic retention times, CAS numbers and name of chemical compounds identified/tentatively identified in pyrolysates of tire road wear samples. Also attached are pyrolysis-GC-MS chromatograms or pyrograms obtained for the samples.
DOI: 10.23719/1530760
title: Dataset for Performance of Vehicle Add-on Mobile Monitoring System PM2.5 measurements during wildland fire episodes

description: This file provides the data used to generate the tables and figures in the manuscript, including a definition of each parameter and units where applicable.
DOI: 10.23719/1531141
title: 2012-2022 National-Level Greenhouse Gas Emission Totals by Industry

description: These data are an update to 2012-2020 Greenhouse Gas National- and State-Level Emission Totals by Industry (https://doi.org/10.23719/1529805). Data for 2021 and 2022 are added. The primary emissions source was updated to use the U.S. GHG Inventory 2024 report.  The industry classifications were updated to use 2017 North American Industry Classification Codes. Totals by industry and state are not included. The code used to generate the datasets is available in the FLOWSA v2.0.3 tool (https://github.com/USEPA/flowsa/tree/v2.0.3). Values are given in total kilograms emitted for the given year, sector and location. Please see the related publication for more background information.
DOI: 10.23719/1531660
title: Non-Target Chemical Features for: De facto water reuse: Investigating the chemical space coverage of multiple chromatographic and ionization methods using non-targeted analysis on surface water and drinking water collected using passive sampling

description: The associated manuscript reports the results of a repeated sampling of a watershed, including surface water and drinking water, that were analyzed with multiple non-targeted analysis (NTA) methods. About 130 chemicals were tentatively identified in the environmental samples, with no concentrations being reported with the non-targeted analysis. The results of this manuscript provide users of NTA with important information on which types of chromatography and ionization methods can be used to detect different classes of environmental contaminants, including PFAS, pesticides, surfactants, and pharmaceuticals. The metadata published here includes a list of all unidentified chemical features detected by each non-target method tested.
DOI: 10.23719/1531718
title: Optimized Approach for Measuring Ethylene Oxide in Mobile Source Exhaust Dataset

description: This dataset includes ethylene oxide measurements from diesel vehicle exhaust using an optimized canister-based measurement approach.
DOI: 10.23719/1531729
title: Development of chemical categories for per- and polyfluoroalkyl substances (PFAS) and the proof-of-concept approach to the identification of potential candidates for tiered toxicological testing and human health assessment

description: Data processing was conducted using the Anaconda distribution of Python 3.9 and associated libraries. Jupyter notebooks are available at https://github.com/patlewig/nts_pfas. 

Datasets supporting the manuscript are accessible at https://doi.org/10.23645/epacomptox.26524327.
DOI: 10.23719/1531733
title: Safe Drinking Water Information System (SDWIS) Federal Reporting Services (Jan. 1, 2010 to Dec. 31, 2017)

description: This dataset is made up of seven separate reports from the U.S. Environmental Protection Agency's (USEPA) Safe Drinking Water Information System (SDWIS). Site visits were queried using SDWIS to produce the seven summary reports, one for each year of data from January 1, 2010 to December 31, 2017. This date range was chosen to account for the effects of the Long Term 2 Enhanced Surface Water Treatment Rule (LT2ESWTR) and the Stage 2 Disinfectants and Disinfection Byproducts Rule (DBPR), both of which first became effective in 2009. 

The information is stored in .csv tables with a record (row) for each sanitary survey, with columns containing water system identifiers (e.g., water system ID, name, state), survey dates, findings arranged by survey element, and a comment field. Each record contains survey findings in separate fields for each survey element, and more than 95% of the fields are populated.
DOI: 10.23719/1531765
title: SciHub Data for Novel Adsorbents Batch Testing

description: Datasets for adsorption and desorption PFAS experiments run to compare novel adsorbents. Water quality of retentates and scrubber waters are also included.
DOI: 10.23719/1531789
title: Seigenthaler et al PFAS sources zone J.HazMaterials data

description: Seigenthaler et al PFAS Source Zone J of Haz Materials meta data.

Data are organized in the following columns: Distance (m), phase shift (mrad), PFAS concentration (ppb), errors, and seive size.  Each tab in the xlxs identifies the data for figures 1 through 7, and supplemental figures 1 and 2.
DOI: 10.23719/1531800
title: Lewandowski et al alkene oxidation mutagenicity data 10-28-24

description: Below are the raw mutagenicity data for two categories of experiments:  (1) a VOC + UV and NOx (Figure 1) and (2) a VOC + ozone (Figure 3).  The data are the number of mutant colonies (called revertants or rev) per petri plate of strain TA100 of Salmonella using the Salmonella (Ames) mutagenicity assay as described below.
Generation of Simulated Atmospheres.  The details of how the atmospheres were generated have been described previously.  Briefly, the precursor hydrocarbon, along with NO and low concentration ammonium sulfate seed aerosol, were injected continuously into a 14.5-m3 smog chamber until concentrations of ~10 ppmC hydrocarbon and ~500 ppbv NO were achieved.  Relative humidity within the chamber was held at 30%. The mixture was then irradiated and allowed to come to steady state before exposing the Salmonella cells at the air-agar interface to the resulting atmosphere to assess mutagenic potential.  Input and sampling flows were such that the average chamber residence time was ~4.5 h.    
Mutagenicity Assays.  The Salmonella plate-incorporation assay using the base-substitution strain TA100 was used as described previously. When the smog-chamber reactions reached steady state, we delivered a continuous and constant concentration of the atmosphere into the MICs.  We exposed the cells for 5 or more time periods spanning 10 min to 16 h, depending on the mutagenic potency and cytotoxicity of the atmosphere.  After exposures, we incubated the plates at 37C for 3 days and then counted the resulting mutant colonies, revertants (rev), on an automatic colony counter (ProtoCOL 3, Microbiology International, Frederick, MD). We conducted two independent mutagenicity experiments with two plates per time point with each atmosphere, resulting in a total of four plates per time point.  We combined the mutagenicity data (rev plate-1) from two replicate experiments to construct exposure time-response curves from which we calculated linear regressions; the slopes were the mutagenic potencies of the atmospheres expressed as rev h-1.  These rev h-1 values were normalized to the estimated mass concentration of non-precursor gas-phase carbon during the exposure to give mutagenic potencies expressed as rev m3 mgC-1 h-1 ± SE.  A positive mutagenic response was considered to be a reproducible, time-related increase in rev plate-1 that approached or exceeded a twofold increase relative to the unexposed spontaneous control and whose slopes were significantly (p < 0.05) greater than zero based on a trend test.  Linear regressions (slopes), p-values, and r2-values were calculated using Prism (GraphPad, San Diego, CA).  Pair-wise comparisons of mutagenic potencies were made by two-tailed Student’s t-tests using Prism.
DOI: 10.23719/1531906
title: USEEIO Models with Import Emission Factors for Greenhouse Gases for 2022 from CEDA coupled model

description: The dataset provides a set of Import Emission Factors (IEF) for USEEIO models developed using the CEDA model  (Watershed Technology, Inc.) along with example USEEIO models built with them for year 2022 and supporting information . The dataset accompanies the addendum "Import Greenhouse Gas Emission Factors Derived from CEDA 2024" to EPA report "Estimating embodied environmental flows in international imports for the USEEIO Model" (https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=362470). This dataset is analogous to the "USEEIO Models with Import Emission Factors for Greenhouse Gases for 2017-2022 from EXIOBASE coupled model" dataset (https://doi.org/10.23719/1531676), but its uses CEDA instead of EXIOBASE as the coupled model. See the aforementioned addendum for more information.

The factors are provided at the BEA summary and detail levels of sector resolution as reflected in file names. The sector codes for the import factor use the BEA 2017 NAICS based schema used in input-output tables which is the schema used by the associated USEEIO models.  US_summary_import_factors_ceda_2022_17sch.csv is the summary level IEFs file and USEEIOv2.4-oriole-22.xlsx is the USEEIO model created with them. US_detail_import_factors_ceda_2022_17sch.csv is the detail level IEFs file and USEEIOv2.4-catbird-22.xlsx is the USEEIO model created with them. Various supporting links and files are provided. Concordance files are provided here that are used to map CEDA commodities and countries to those used in USEEIO (and also available online) to create the import emission factors. The models are named according to an updated USEEIO naming scheme. See the supporting code on the USEEIO github site (link in references) for more details. Model specification files for the detail USEEIO model (USEEIOv2.4-catbird-22.yml) and for the summary model (USEEIOv2.4-oriole-22.yml) that are used to create the USEEIO models in useeior are provided. See the model specification and model data formats on the  useeior github site (link in references) for more details.
DOI: 10.23719/1532068
title: Dataset: Spill Treating Agents and Oil Biodegradation, Lech 2025

description: EPA generated data for Lech et al. publication in Appl Environ Microbiol titled, "Oil Spill Surface Washing Agents and Chemical Herders Drive Microbial Community Structure Impacting Biodegradation"
DOI: 10.23719/1532160
title: Dataset for the manuscript "The Evaluation of a New ELISA-Based Kit for Total Microcystins as an Early Detection Tool for Microcystin Blooms in Source Waters and Its Application State-Wide to Oregon Source and Finished Drinking Waters"

description: Data used to create the tables and figures in manuscript PMC11861646
DOI: 10.23719/1532186
title: Enterococcus Digital PCR Dataset

description: Dataset includes repeated measures of the National Institute of Standards and Technology Standard Reference Material 2917 (SRM 2917) using an Enterococcus digital PCR (dPCR) assay.  

“This research dataset has been reviewed in accordance with U.S. Environmental Protection Agency (U.S. EPA), Office of Research and Development, and approved for release. Mention of brand names or vendors does not constitute an endorsement of products or services by the U.S. EPA.”
DOI: 10.23719/1532238
title: Database of congener-specific half-lives of polychlorinated biphenyls

description: Polychlorinated biphenyls (PCBs) are a group of 209 chemicals with varying chlorine substitutions that influence their absorption, distribution, metabolism, and excretion (ADME). These differences affect how PCBs behave in the body, including their lipophilicity, tissue distribution, and biological half-life. Humans and animals can absorb PCBs through inhalation, ingestion, or skin contact, with the compounds accumulating in fatty tissues and eliminating at variable rates—some over decades.

Pharmacokinetic (PK) models help estimate internal doses and assess health risks by accounting for species-specific ADME properties. However, modeling PCBs is challenging due to their persistence, bioaccumulation, and structural diversity. While PK models can support risk assessment and interspecies extrapolation, they require accurate data—particularly biological half-lives, which are unavailable for many congeners.

This study aims to compile half-life data for individual PCB congeners from the literature in support of future explorations of the use of Quantitative Structure Activity Relationship (QSAR) models to predict half-lives of unstudied congeners using structural features like chlorine substitution patterns, building on prior work.

Database curation: The HERO PCBs project page (https://hero.epa.gov/hero/index.cfm/project/page/project_id/384) was searched using terms related to half-life or elimination. Studies retrieved by the literature search were screened to identify studies containing PCB congener half-life data. Select details from each relevant study were entered into the database (e.g., citation information, congener name and number, exposure context, population descriptors, biological matrix, and reported half-life).
DOI: 10.23719/1532270
title: Long-term Air Pollution, Infant Mortality Systematic Review

description: We conducted a systematic review/meta-analysis for epidemiologic evidence of the association between long-term criteria air pollution (nitrogen dioxide (NO2), sulfur dioxide (SO2), coarse particulate matter (PM10), fine particulate matter (PM2.5), ozone (O3), carbon monoxide (CO)) exposure and all-cause, respiratory, and sudden infant death syndrome (SIDS) infant mortality.
DOI: 10.23719/1524722
title: Lead Acetate & SRM 2710a Soil Modulates Cecal & Fecal Microbiome of Mice

description: The effect of dietary lead (Pb) on the murine intestinal microbiome was explored to determine if there was an association between microflora modulation and Pb source.  Mice were treated with 6.25-25 ppm Pb acetate (PbOAc) or 7.5-30 ppm Pb in reference soil SRM 2710a having 0.552% Pb among other heavy metals such as Cd.  Feces and ceca were collected following 9 days of treatment and the microbiome analyzed by 16S rRNA gene sequencing.  Treatment effects on the microbiome were observed in both feces and ceca of mice.  Changes in the cecal microbiomes of mice fed  Pb were similar except for a few exceptions regardless of source.   Akkermansia, a common gut bacterium, was highest ranked species in control microbiomes whereas Lactobacillus ranked highest in treated mice. Firmicutes/Bacteroidetes ratios in the ceca of PbOAc and SRM 2710a treated mice increased suggestive of changes in gut microbiome metabolism that promotes obesity. Bacilli/Clostridia  increased in the ceca of PbOAc treated mice and may be indicative of increased risk of host sepsis.  Family Deferribacteraceae also were modulated by PbOAc or SRM 2710a, respectively, possibly impacting iron metabolism.  Understanding the relationship between microbiome composition and Pb concentration, especially in soil, may ultimately provide new insights into the utility of various remediation methodologies that modulate the effects and assist in the selection of an optimal treatment for a specific contaminated site.
DOI: 10.23719/1524745
title: Duke Forest Ammonia Flux Dataset_Forest_Grass_2017

description: This dataset includes measurements of ammonia air surface exchange in two adjacent ecosystems measured by open-path quantum cascade laser using the eddy covariance technique.  Analysis includes assessment of the physical and biogeochemical drivers that lead to differences in atmosphere-biosphere exchange of ammonia between these two natural ecosystems.
DOI: 10.23719/1526435
title: Relating Fish Populations to Scleractinian Reef Structure

description: These files contain field data from 3 coral reef surveys, 2 in Puerto Rico and one in Flower Garden Banks. Calculations are made to explore correlations between stony coral physical (size and shape) and biological (diversity and condition) with fish density, biomass and diversity.
DOI: 10.23719/1526513
title: Data for  Ammonium adduct chemical ionization to investigate anthropogenic oxygenated gas-phase organic compounds in urban air

description: Data includes the VCPy code repository and 3 data files:
ny_benzene.csv: New York County emissions of benzene from the 2017 NEI (units of lb)
ny_co.csv: New York County emissions of carbon monoxide (CO) from the 2017 NEI (units of short tons)
ny_vcpy_2019.csv: VCPy v2.0 emissions for New York County for 2019 (units of kg/yr)
DOI: 10.23719/1527715
title: Lightning NOx Emissions in CMAQ Data

description: Meta Data of the dataset for “Assessing the Impact of Lightning NOx Emissions in CMAQ Using Lightning Flash Data from WWLLN over the Contiguous United States”

Figure 2: ThreeYear_NLDN2WWLLN_byNOAAcr_Region_anal.xlsx. The names of the variable are self-explanatory and the original figure is included.
Figure 3: NLDN_flash_Monthly_mean_2016_07.ncf.gz,  WWLLN_flash_Monthly_mean_2016_07.ncf.gz, WWLLNs_flash_Monthly_mean_2016_07.ncf.gz. These netcdf files contain the monthly mean values of gridded lightning flash rate for all the cases and the figure can be created using any netcdf visualization tool (such as VERDI) or statistical package (such as R).

Figures 4,5,6: CMAQ_*_.rds.gz files. These files contain the paired observation-model O3 concentrations from all the model cases for hourly, daily max-8hr, and other statistics. The rds datasets can be read into R as data frame to make these figures.

Figure 7 & 8: CCTM_CONC*.nc.gz. The vertical profiles (CONC) contain model data to make Figures 7 and 8. While the observation data are available publicly.

Figure 9: NADP_v532_intel18_0_2016_CONUS_*.csv. 
Figure 10: avg*_DEP_concentrations*.nc.gz. These files contain the monthly mean vet deposition of NO3.
Figure 11: NADP_v532_intel18_0_2016_CONUS_*.csv. 
Figure 12: *DDEP_TNO3_*.nc.gz. These files contain hourly dry deposition of TNO3 over the CONUS domain
DOI: 10.23719/1528091
title: Commercial Equipment Manuscript Dataset 2022

description: Dataset of subject matter expert input and response to questions regarding commercial and municipal equipment survey and evaluation for use in large-scale biological incident response operations.