cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23719/1528076
title: Dataset for Paper Assessment of Chemical Facility Ethylene Oxide Emissions Using Mobile and Multipoint Monitoring

description: This file contains the data presented in "Assessment of Chemical Facility Ethylene Oxide Emissions Using Mobile and Multipoint Monitoring".  It also contains a data dictionary.
DOI: 10.23719/1528349
title: Metabolically active bacteria detected with click chemistry in low organic matter rainwater.

description: Measurement of total organic carbon, inorganic nutrients, pH, & specific conductance. Bacteria counts (total and active).
DOI: 10.23719/1528488
title: Method Development for a Short-Term 7-Day Toxicity Test with Unionid Mussels

description: Data associated with "Wang N, Kunz JL, Hardesty DK, Steevens JA, Norberg-King T, Hammer EJ, Bauer CR, Augspurger T, Dunn S, Martinez D, Barnhart MC, Murray J, Bowersox M, Roberts J, Bringolf RB, Ratajczak R, Ciparis S, Cope WG, Buczek SB, Farrar D, May L, Garton M, Gillis PL, Bennett J, Salerno J, Hester B, Lockwood R, Tarr C, McIntyre D, Wardell J. Method Development for a Short-Term 7-Day Toxicity Test with Unionid Mussels. Environ Toxicol Chem. 2021 Dec;40(12):3392-3409. doi: 10.1002/etc.5225. Epub 2021 Nov 10. PMID: 34592004."
DOI: 10.23719/1529197
title: Sun Valley Asthma and AD SciHUB.xlsx 

description: Medicaid claims for AD and asthma for all 6 and 7-year-olds between 2016 to 2019 living in the Sun Valley community (zip code 80204)
DOI: 10.23719/1529457
title: NaKnowBase Interoperability Tools

description: This dataset is associated with the manuscript "Translating nanoEHS data using EPA NaKnowBase and the Resource Description Framework"
mortensen h, Williams A, Beach B, Slaughter W, Senn J and Boyes W
submitted 8/3/2023 to F1000:Nanotoxicology.
The dataset includes and RDF mapping of EPA NaKnowBase (NKB), the OntoSearcher code used to produce the file NKB RDF, as well as training materials and example files for the user.
DOI: 10.23719/1529794
title: Data set for Analysis of PM2.5, black carbon, and trace metals measurements from the Kansas City Transportation and Local-Scale Air Quality Study (KC-TRAQS)

description: This dataset provides all the data used to generate the Tables and Figures in the journal article titled 'Analysis of PM2.5, black carbon, and trace metals measurements from the Kansas City Transportation and Local-Scale Air Quality Study (KC-TRAQS)'.
DOI: 10.23719/1529824
title: Comprehensive compilation of congener profiles to support health assessment of environmental exposures to polychlorinated biphenyl mixtures

description: This data supports the journal publication "Comprehensive compilation of congener profiles to support health assessment of environmental exposures to polychlorinated biphenyl mixtures" which identifies and extracts published congener profiles across 29 commercial and simulated environmental PCB mixtures, including various Aroclors, Phenoclors, Clophens, and Kanechlors, among others. This work represents the most extensive effort to date to compile and make publicly available the PCB congener profiles for mixtures with toxicological data, providing a foundation for understanding toxicological potency of PCB mixtures in the environment.
DOI: 10.23719/1529831
title: Potassium jarosite seeding of soils decreases Pb and As bioaccessibility: A path toward concomitant remediation.

description: X-ray absorption spectroscopy raw data files
DOI: 10.23719/1529916
title: PFAS leachate concentrations in Puerto Rico Landfills

description: The data represents the information that was used to create the figures and the tables used in the manuscript.
DOI: 10.23719/1529937
title: U.S. Concrete Waste Flows Between Sectors, 2018 v1.3.2

description: This dataset contains 2018 national concrete waste flows from waste-generating sectors to waste management pathways. The sectors are based on North American Industry Classification System (NAICS) 2012 codes. 

These dataset was generated in FLOWSA v1.3.2 (https://github.com/USEPA/flowsa/tree/v1.3.2) with https://github.com/USEPA/HIO/blob/v0.1.0/flowsa/flowbysectormethods/CDD_concrete_national_2018.yaml. The metadata text files included as a supporting document records the FLOWSA tool version and input dataset bibliographic details.
DOI: 10.23719/1529949
title: Models Used to Predict Chemical Bioaccumulation in Fish from in Vitro Biotransformation Rates Require Accurate Estimates of Blood–Water Partitioning and Chemical Volume of Distribution

description: Supporting information in "Saunders, L.J. and Nichols, J.W. (2023), Models Used to Predict Chemical Bioaccumulation in Fish from in Vitro Biotransformation Rates Require Accurate Estimates of Blood–Water Partitioning and Chemical Volume of Distribution. Environ Toxicol Chem, 42: 33-45. https://doi.org/10.1002/etc.5503"
DOI: 10.23719/1530081
title: Density declines, richness increases, and composition shifts in stream macroinvertebrates

description: All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials. Datasets and code for analyses and generation of figures are available via FigShare (doi: 10.6084/m9.figshare.22266046) and a public GitHub repository (https://github.com/rumschsl/MacroBiodivTrends).
DOI: 10.23719/1530324
title: Virulence and infectious assessment of a Campylobacter jejuni strain isolated from California gull 

description: Genome sequence, PCR clone sequences and qPCR data, culture data
DOI: 10.23719/1530584
title: Dataset for Impact of living conditions on cardiovascular function in atherosclerosis-prone mice and smoke exposure

description: Raw data for all figures and tables in manuscript for study analyzing the impact of living conditions on cardiovascular function in ApoE -/- mice
DOI: 10.23719/1530871
title: Pregnancy gut metabolome

description: Data from, "Gut metabolic changes during pregnancy reveal the importance of gastrointestinal region in sample collection."
DOI: 10.23719/1531092
title: Data describing reactive organic carbon and its potential health risk in wildfire smoke v1.0

description: This data archive supports the publication by Pye et al. 2024 applying the CMAQ model to FIREX-AQ field campaign. Links are provided for the standard CMAQ model, CRACMM chemical mechanism, and FIREX-AQ data archive. The zip file contents are described in the README.txt and include the exact CMAQ code used in this work, post processing code in python, code for creating plots, and some intermediate data files.
DOI: 10.23719/1531229
title: Using Zebrafish to Screen Developmental Toxicity of Per- and Polyfluoroalkyl Substances (PFAS)

description: Figure S1: BMC curves. 
Table S1: Fish assessments. 
Table S2: Data to make visualization of toxicity (Figure 3). 
Table S3: Data to make BMC curves
DOI: 10.23719/1531773
title: Cultured and molecular measures of fecal indicator microbes in Gulf of Mexico recreational waters

description: Concentrations of somatic and F+ coliphage, and enterococci measured by culture and qPCR.
DOI: 10.23719/1531874
title: Developmental toxicity of disinfection byproducts in F344 rats: effects on pregnancy maintenance and eye development

description: Developmental toxicity of disinfection byproducts in F344 rats: effects on pregnancy maintenance and eye development.
Data files for the experiments reported in the published journal article.
Files include data for maternal body weights, gestation length, pup weights, number of implantation sites, and number of pups and litters affected with eye malformations.
DOI: 10.23719/1531934
title: National Rivers and Streams Assessment 2018-2019 Date files for report "National Rivers and Streams Assessment: The Third Collaborative Survey"

description: The National Rivers and Streams Assessment (NRSA) is a statistical survey of the condition of our nation's perennial rivers and streams. It is designed to provide information on the extent of flowing waters that support healthy biological condition and recreation, estimate how widespread major stressors are that impact the nation’s rivers and streams water quality, and provide insight into whether rivers and streams nationwide are getting cleaner.

This dataset is an archived (zipped) file comprised of chemical, physical and biological files used in developing the NRSA (2018/2019) report. Sampling was conducted over two summer index periods (June through September 2018 and 2019) at approximately 2000 sites in the conterminous U.S. Sites were selected using a statistical survey (probabilistic) design. The files include water chemistry, benthic macroinvertebrates, fish assemblage, physical habitat, landscape metrics, enterococci, etc. Users are encouraged to visit the NARS data webpage for updates to data files and data from other surveys. https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys.

Citation for the NRSA 2018/2019 archived data: U.S. Environmental Protection Agency. National Aquatic Resource Surveys. National Rivers and Streams Report. Archived Data. (INSERT data and metadata files used). Available from U.S. EPA web page: https://www.epa.gov/national-aquatic-resource-surveys/reports-and-data-national-rivers-and-streams-assessment-2018-19. 

EPA encourages users who are publishing subsets of the data (say as part of a journal article publication) to include the above citation. EPA also encourages users of the data to include the following acknowledgement: “The National Rivers and Streams Assessment 2018/2019 data were a result of the collective efforts of dedicated field crews, laboratory staff, data management and quality control staff, analysts and many others from EPA, states, tribes, federal agencies, universities, and other organizations. Please contact nars-hq@epa.gov with any questions.

Additional information: NRSA is part of the National Aquatic Resource Surveys, an EPA/State/Tribal partnership. The National Aquatic Resource Surveys (NARS) are statistical surveys designed to assess the status of and changes in quality of the nation’s coastal waters, lakes and reservoirs, rivers and streams, and wetlands. Using sample sites selected at random, these surveys provide a snapshot of the overall condition of the nation’s water. Because the surveys use standardized field and lab methods, we can compare results from different parts of the country and between years. Citation information for this dataset can be found in Data.gov's References section.
DOI: 10.23719/1531956
title: Demonstration of LoA Method For Hydrologic Model Evaluation

description: These are hydrometeorological datasets obtained from US national data repositories as inputs to a hydrologic model and model simulations over the St. Joseph River Watershed (SJRW) for both gauged and hypothetical ungauged scenarios. The datasets purpose is to demonstrate the applicability of the machine learning-based Limits of Acceptability (LoA) method and hydrologic signatures to evaluate the Sacramento Soil Moisture Accounting (SAC-SMA).
DOI: 10.23719/1532064
title: Benthic cyanobacterial accumulations and associated cyanotoxins in coastal urban stormwater pond networks -2021, v1

description: Benthic cyanobacterial accumulations and associated cyanotoxins in coastal urban stormwater pond networks-2021
DOI: 10.23719/1532156
title: Salamander Environmental DNA (eDNA)

description: These data describe detections of environmental DNA (eDNA) of eight species of salamanders including Eurycea cirrigera, Gyrinophilus porphyriticus, Desmognathus fuscus, Desmognathus monticola, Desmognathus welteri, Plethodon richmondi, Eurycea longicauda, and Cryptobranchus alleganiensis in water samples collected from sites in the Buckhorn Creek watershed in eastern Kentucky, USA.

“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: 10.23719/1532240
title: Molecular detection of Coccidioides sp. spores in arid soils and UAS-enabled bioaerosol collection in the San Joaquin Valley, 2024

description: The goal of this study is to determine if there is an association between aerosolized particulate matter (PM) density, wind speed, temperature, humidity, soil-specific parameters, or other site-specific conditions and Coccidioides detection to better understand fungal spore dispersal within the San Joaquin Valley, CA. Soil and filter samples were concurrently collected using an uncrewed aircraft system (UAS) equipped with bioaerosol samplers flown synchronously at multiple heights. Samples were assessed for the presence of Coccidioides spores per the cocciENV assay (Bowers et al, 2019). Collection sites included Bakersfield, CA and surrounding Kern County (39 total), with 767 samples collected using an interrupted radial transect design.
DOI: 10.23719/1532258
title: MASKON Exposure System Volatile Organic Compound Testing

description: This series of documents describes the characterization of filtered wood smoke for volatile and semi-volatile organic compounds after passing through the MASKON CAPR filtration system.
DOI: 10.23719/1532275
title: SARSCoV2 UVC Manuscript Data May 2025

description: Motivated by the COVID-19 pandemic, research was conducted to evaluate UVC radiation emitting devices that are potentially capable of inactivating SARS-CoV-2 on surfaces found in the built environment to augment chemical-based surface disinfection approaches. In this study, we evaluated the efficacy of a board-spectrum pulsed xenon light, a continuous UVC light-emitting diode (LED), and a Far UV light source against SARS-CoV-2. Experiments were conducted with the SARS-CoV-2 virus inoculated in either tissue culture media or simulated saliva onto porous and nonporous surfaces (three materials total). The dataset contains the log10 recoveries of SARS-CoV-2 (TCID50/sample) and calculated Log10 reductions for all tests.
DOI: 10.23719/1532303
title: Table 2. SWAT Model Calibration for Soldier Creek, Subbasins 1-7.  

description: Table 2. SWAT Model Calibration for Soldier Creek, KS. Subbasins 1-7.  Variable_n refers to calibration results for subbasin n, from 1 (headwaters of Upper Soldier Creek) to 3 (mouth of Upper Soldier Creek) to 7 (Soldier Creek outlet).  NS = Nash-Sutcliffe coefficient, MSE = mean squared error, PBIAS = % bias, KGE = Kling-Gupta Efficiency.
DOI: 10.23719/1527930
title: Formosa Mine Studies

description: Doug-fir, mine tailing, and site data for Formosa mine case study site
DOI: 10.23719/1528192
title: Full Scale Viral Laundering Dataset

description: This dataset contains disinfection efficacy of  scrubs, face coverings, and denim contaminated by Phi6 and MS2 and cleaned using hot water laundering.
DOI: 10.23719/1528304
title: Adams et al_Data Set

description: Data associated with the Adams et al. manuscript "Elevated winter stream temperatures below wastewater treatment plants shift female reproductive development of Johnny Darter Etheostoma nigrum: a field and histologic approach." Data include in vitro estrogen receptor agonist activities of surface water samples and vitellogenin gene expression in Johnny Darter liver samples.
DOI: 10.23719/1528538
title: Acute Ozone-Induced Transcriptional Changes in Markers of Oxidative Stress and Glucocorticoid Signaling in the Rat Hippocampus and Hypothalamus are Sex-Specific

description: The dataset is comprised of multiple data-frames. Our focus is on sex and brain region specific responses to ozone in a rat model. The PCR data describes the gene expression from listed brain regions resulting from ozone exposure. Complex enzymes were also assayed due to their sensitivity to oxidative stress using biochemical colorimetric assays. And finally, we collected data for oxidative stress artifacts such as protein carbonyl productions, total antioxidants, and enzyme activity.
DOI: 10.23719/1528602
title: Destruction Profiles for the Mechanochemical Destruction of PFAS in AFFF and AFFF Contaminated Soil

description: This dataset gives time dependent concentrations of PFAS measured during the mechanochemical treatment of AFFF in sand and soil contaminated with AFFF. The data is also presented in two figures.
DOI: 10.23719/1528678
title: 2016 U.S. Electricity Generation Air Emissions, Hazardous Waste and Steam Emission Factors by Subregion

description: This dataset contain records factors for emissions and releases of chemicals to air, water and ground, waste generation, from electricity generation,  All values are per megawatt-hour (MWh) of eletricity generated at power plants or other generating facilities.

Subregion is an acronym of a U.S. EPA eGRID subregion.  See https://www.epa.gov/egrid

FlowName, Context, and Unit are defined as they are in the Flow table format specification for the U.S. EPA Standardized Inventories (StEWI) tool. https://github.com/USEPA/standardizedinventories/blob/master/format%20specs/Flow.md
FlowName is the name of the chemical, waste, input or product. 
Chemical (context is air, water or ground) use the nomenclature of the Federal LCA Commons Elementary Flow List.
Wastes use the names for waste code descriptions from the 2017 RCRA Biennial Waste Report.
There are also "Heat" input and "Steam" co-product output factors. These names and data come from the eGRID 2016 database.
DOI: 10.23719/1528743
title: NESE_betasdam Final data and code

description: Reach-scale flow classifications (ephemeral , intermittent, and perennial) based on direct hydrologic data and field (biological and geomorphological) and geospatial (climate, geographical) indicators for northeastern and southeastern United States used to build random forest models to predict flow duration class.
DOI: 10.23719/1529109
title: Dataset for 'Vinyl Chloride Enhances High Fat Diet-Induced Proteome Alterations in the Mouse Pancreas Related to Metabolic Dysfunction'

description: Dataset for 'Vinyl Chloride Enhances High Fat Diet-Induced Proteome Alterations in the Mouse Pancreas Related to Metabolic Dysfunction' Yue Ge et. al. Toxicological Sciences, Volume 193, Issue 1, May 2023, Pages 103–114, https://doi.org/10.1093/toxsci/kfad024   PMC10176240
DOI: 10.23719/1529607
title: Predicting nonlinear relationships between external and internal concentrations with physiologically based pharmacokinetic modeling

description: Generic physiologically-based pharmacokinetic (PBPK) models were used to explore how saturable absorption or clearance can influence the shape of the internal to external concentration (IEC) relationship. The models were used for hypothetical chemicals to show how differences in kinetic parameters can impact the shape of an IEC relationship; and the models for styrene and caffeine were used to explore how exposure route, frequency, and duration impact the IEC relationships in rat and human exposures. We also analyzed available plasma concentration data for 2,4-dichlorophenoxyacetic acid (data from Saghir et al. 2013; https://doi.org/10.1093/toxsci/kft212) to demonstrate how a PBPK modeling approach can be an alternative to common statistical methods for analyzing dose proportionality. 

These files contain the model code and utilized parameters for each of these case studies as well as a link to the publicly available dataset from Saghir et al. 2013 (https://doi.org/10.1093/toxsci/kft212)
DOI: 10.23719/1529743
title: Occurrence of Recreational Water Quality Monitoring General Fecal Indicator Bacteria and Fecal Source Identification Genetic Markers in Gray Seal Scat

description: Data set consists of qPCR measurements for fecal indicator bacteria genetic markers reported in Figure 2.
DOI: 10.23719/1529798
title: Massachusetts Eelgrass Blue Carbon Data

description: Sediment cores taken from 5 eelgrass meadows in Massachusetts.  Cores analyzed for carbon content.
DOI: 10.23719/1529821
title: IPCC AR4, AR5, and AR6 20-, 100-, and 500-year GWPs

description: The International Panel for Climate Change (IPCC) produces regular Assessment Reports that provide global warming potentials (GWPs) for greenhouse gases (GHG) in the context of multiple time horizons including 20, 100, and 500 years. The GWPs (in kg CO2-equivalent per kg GHG) can be multiplied by kg GHGs emitted for use in estimating CO2-equivalent (CO2e) impacts of GHGs emitted. In the context of life cycle assessment (LCA) , the GWPs can be used as characterization factors in of the life cycle impact assessment. This dataset provides 20- (GWP-20), 100- (GWP-100) and 500-year (GWP-500) GWPs from the 4th (AR4), 6th (AR6) IPCC assessment reports, and 20- (GWP-20) and 100-year (GWP-100) GWPs from the 5th (AR5) report (AR5 provided no 500 yr GWPs). Datasets are provided in simple tables in Excel, in the openLCA JSON-LD format compliant with the U.S. Federal LCA Commons standards, and in Apache parquet format for the most efficient import into applications or scripts using languages like Python and R. The names for GHGs are from the Federal LCA Elementary Flow List (FEDEFL) v1.2, which are names preferred for this GHGs in the USEPA's Substance Registry Service. These datasets were created using the LCIA Formatter v1.1.1 (https://github.com/USEPA/LCIAformatter).  The GWP values are provided in these formats for convenient use; the values have not been altered from the values reported in the Assessment Reports. 
Python code used to produce the data is available in a github gist under the supporting data links along with dataset metadata from the LCIA formatter.
DOI: 10.23719/1529841
title: Data for manuscript titled 'PM2.5-attributable mortality burden variability in the continental U.S.'

description: Data used for manuscript available at https://www.sciencedirect.com/science/article/pii/S1352231023005575.

Includes a 'README' file briefly explaining how to combine this data with BenMAP-CE to reproduce the results.
DOI: 10.23719/1529898
title: Dataset_For _P_Management_Paper

description: Dataset_For _P_Management_Paper
DOI: 10.23719/1529905
title: Effects of multi-walled carbon nano tubes on human lung epithelial BEAS-2B cells

description: Dataset for 'Effects of multi-walled carbon nano tubes on human lung epithelial BEAS-2B cells' journal article by Sheau-Fung Thai, et al., to be published in Materials Express.

For the data set:
DEG: differentially expressed genes
33-MWCNT: parent MWCNT 
55-OH-MWCNT: MWCNT modified with -OH group
66-COOH-MWCNT: MWCNT modified with -COOH group
DOI: 10.23719/1530552
title: Degradation of immediate precursors figures

description: Data corresponding to figures in manuscript.
DOI: 10.23719/1530883
title: A comparison of machine learning approaches for predicting hepatotoxicity potential using chemical structure and targeted transcriptomic data

description: Supplementary data for "Tia Tate, Grace Patlewicz, Imran Shah,
A comparison of machine learning approaches for predicting hepatotoxicity potential using chemical structure and targeted transcriptomic data, Computational Toxicology, Volume 29,  2024, 100301, ISSN 2468-1113, https://doi.org/10.1016/j.comtox.2024.100301."
DOI: 10.23719/1530970
title: FKastury JHazMat XAS and SEM data

description: Includes all data collected by the US EPA; X-ray absorption spectroscopy (XAS) data on the Lead L3-edge and the Arsenic K-edge and Scanning Electron Microscopy with paired energy dispersive X-ray spectroscopy (EDS) at select spots.