cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23719/1526434
title: Skeletal Growth Capacity as a Measure of Coral Species and Community Resilience 

description: These data reflect calculations for calcification and erosion rates of different stony coral species in the U.S. Virgin Islands. Field data were collected in 2007 and 2009 and calculations are dependent on demographic survey data that measure colony size and proportion of live tissue.
DOI: 10.23719/1526439
title: Marsh data

description: Soil and chemical data in first data file are for marshes in CA and NY. The soil data associated with the Ninigret marsh (RI) may be used by managers and restoration specialists assessing the vulnerability and condition of the similar salt marshes in RI. The data are site specific and may be of interest to the Prudence Island National Estuarine Research Reserve, Save the Bay, and the RI Coastal Resources Management Council.
DOI: 10.23719/1526454
title: Raw Data for Jarema et al, 2022 Developmental Neurotoxicity and Behavioral Screening in Larval Zebrafish...

description: The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/toxics10050256/s1. Figure S1, Effect of DMSO on Light/Dark Locomotor Activity; Figure S2, Time Course Behavioral Graph, Activity Box Plots and Developmental Toxicity for each Chemical; Table S1, Raw Data.
DOI: 10.23719/1526482
title: Aerosol Mass Spectrometry Data

description: Data was provided by EPA from an air quality model (the Community Multiscale Air Quality or "CMAQ" model) that predicts surface level atmospheric concentrations of air pollutants. These data were provided in the form of shape files and are available from the corresponding author upon request. Specific data include predictions of total primary organic aerosol concentrations, as well as individual fractions of primary organic aerosol from key sources like onroad vehicles and cooking sources.
DOI: 10.23719/1526530
title: H20 disinfection_Science Hub_2022

description: Dataset used to generate tables/figures demonstrating the effects of water disinfection on allergic hypersensitivity and dermal irritation.
DOI: 10.23719/1526545
title: Dataset for the paper: Surface-air mercury fluxes and a watershed mass balance in forested and harvested catchments. Published in the journal Environmental Pollution in 2021

description: Dataset for the paper: Surface-air mercury fluxes and a watershed mass balance in forested and harvested catchments. Published in the journal Environmental Pollution in 2021
DOI: 10.23719/1526551
title: Simulation results for water age analysis

description: Simulation results on water age analysis. Comparison of the results between EPAENT 2.2 and 2.0.
DOI: 10.23719/1526555
title: Evans_2022_PFAS_in-vitro_manuscript_ScienceHub_2022-6-24

description: Dataset of medium throughput (96 well plate) in vitro nuclear receptor activation assays for peroxisome proliferator activated receptor alpha (PPARa), PPAR gamma (PPARg), and estrogen receptor (ER) across a panel of per- and polyfluoroalkyl substances (PFAS), fatty acids, and pharmaceuticals.
DOI: 10.23719/1527631
title: ISA Literature screening dataset v.1

description: This dataset contains one instance of the information used in searching and screening peer-reviewed literature to identify references to be used in EPA's Integrated Science Assessments (ISAs). It is comprised of six subsets, three for each of two ISAs for Ozone (2013 and 2020). The subsets are reference metadata, which contains all metadata for references found through searches and references cited in the respective ISA, Citation context, which contains the text of paragraph of the ISA where each reference was cited, and the semantic map, which provides the outline of the ISA in a hierarchical table of chapters, sections and subsections. See the Supporting documents for a more detailed description.
DOI: 10.23719/1527808
title: Mucus and Iron Figures

description: The data sets are for the figures in the manuscript.
DOI: 10.23719/1528189
title: Sex-specific respiratory and systemic stress effects of acute acrolein and trichloroethylene inhalation

description: Employing acrolein, a potent airway irritant, and TCE, with low irritancy, authors hypothesized that airway injury and inflammation would be involved in eliciting neuroendocrine-mediated systemic alterations. Male and female Wistar-Kyoto rats were exposed nose-only to air, acrolein or trichloroethylene (TCE) in incremental concentrations over 30 min, followed by 3.5-hr exposure to the highest concentration (acrolein - 0.0, 0.1, 0.316, 1, 3.16 ppm; TCE - 0.0, 3.16, 10, 31.6, 100 ppm) while performing head-out plethysmography (HOP), and animals were necropsied immediately post-exposure to assess nasal and lung injury/inflammation, systemic neurohormones, circulating stress hormones and also metabolic hormones.
DOI: 10.23719/1528280
title: Tuccillo et al. (2023) dataset

description: This dataset includes soils concentrations of selected metals (Al, Ba, Ca, Cd, Co, Cr, Cu, Fe, K, Li, Mg, Mn, Mo, Ni, Pb, Si, Sr, Ti, V, and Zn). Concentrations are in mg/kg or parts per million. The dataset also includes Pb isotope ratios of soil samples (206Pb/204Pb; 207Pb/204Pb; 208Pb/204Pb).
DOI: 10.23719/1528289
title: H stipulacea phytomyxid infection biomass density data

description: Halophila stipulacea biomass and density data relating to phytomyxid infection
DOI: 10.23719/1528343
title: ZIP Code-level data on daily temperature, Medicare cardiovascular hospitalizations, and urban heat island intensity, contiguous United States, 2000-2017 

description: These datasets are associated with the manuscript "Urban Heat Island Impacts on Heat-Related Cardiovascular Morbidity: A Time Series Analysis of Older Adults in US Metropolitan Areas." The datasets include (1) ZIP code-level daily average temperature for 2000-2017, (2) ZIP code-level daily counts of Medicare hospitalizations for cardiovascular disease for 2000-2017, and (3) ZIP code-level population-weighted urban heat island intensity (UHII). There are 9,917 ZIP codes included in the datasets, which are located in the urban cores of 120 metropolitan statistical areas across the contiguous United States.

(1) The ZIP code-level daily temperature data is publicly available at: https://doi.org/10.15139/S3/ZL4UF9. A data dictionary is also available at this link. 

(2) The ZIP code-level daily counts of Medicare hospitalizations cannot be uploaded to ScienceHub because of privacy requirements in the data use agreement with Medicare.

(3) The ZIP code-level UHII data is attached, along with a data dictionary describing the dataset.
DOI: 10.23719/1528415
title: Expanding Non-invasive Approaches for Fish-Health Monitoring

description: Summary of inter species differences captured using non-invasive sampling of epidermal mucus and mass spectrometry
DOI: 10.23719/1528416
title: Vapor Intrusion Potential of Select Per- and Polyfluoroalkyl Substances

description: Certain per- and polyfluoroalkyl substances (PFAS) have sufficient vapor pressures to be designated as vapor-forming chemicals and; thus, be a concern for vapor intrusion into the indoor air of residences and buildings overlying a contaminated soil or groundwater source. Multiple PFAS species, both neutral (e.g., fluorotelomer alcohols) and ionic (e.g., perfluoroalkyl carboxylic acids), were found in the groundwater, soil, soil gas, and subslab soil gas. With the presence of PFAS in these matrices, a vapor intrusion pathway has been established. This initial research effort provides regulators with scientific evidence that will help them decide whether VI should be evaluated at the hundreds of sites where PFAS are reasonably expected to have been released to the subsurface.
DOI: 10.23719/1528467
title: Beneficiary and Ecosystem Services Profiles from MassBays Document Analysis

description: This data set contains the output from a keyword search document analysis of MassBays NEP Assessment Area communities.  S1 is the list of keyword search terms. S2 is the list of planning documents included in the search. S3 are graphs of beneficiary profiles and ecosystem services profiles for each assessment area.  S4 are graphs of ecosystem frequencies, beneficiary profiles, and ecosystem services for each cluster. S5 is the table of socio-economic and ecological variables for each assessment area. S6 are graphs of socio-economic and ecological variables for each cluster. S7 are post-hoc statistical analysis to relate socio-economic and ecological variables to ecosystem services priorities. S8 are the frequency at which ecosystems are mentioned in documents for each assessment area. S9 is the table of beneficiary profiles for each assessment area.  S10 are the relative importance of ecosystem services attributes to each beneficiary type for each assessment area. S11 are the final ecosystem services profiles for each assessment area. S12 is the full list of final ecosystem services (an ecosystem + a beneficiary + an ecosystem services attribute) from all search documents.
DOI: 10.23719/1528468
title: Microelectrode evaluation of in situ oxidant reactivity and pH variability at new ductile iron and copper coupon surfaces data set

description: Data shown in the figures presented in the manuscript.
DOI: 10.23719/1528483
title: The effect of enriched versus inadequate housing conditions on eucalyptus smoke-induced cardiovascular dysfunction in mice_Complete dataset

description: This dataset represents the results of a study investigating the cardiopulmonary effects of enriched versus depleted housing in mice and the response to eucalyptus wildfire smoke.
DOI: 10.23719/1528512
title: A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and Polyfluoro-Alkyl Substances (PFAS) in Multiple Species

description: Data and code for "Dawson, D.E.; Lau, C.; Pradeep, P.; Sayre, R.R.; Judson, R.S.; Tornero-Velez, R.; Wambaugh, J.F. A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and Polyfluoro-Alkyl Substances (PFAS) in Multiple Species. Toxics 2023, 11, 98. https://doi.org/10.3390/toxics11020098"

Includes a link to R-markdown file allowing the application of the model to novel chemicals
DOI: 10.23719/1528552
title: Data for Sensitivity of Northeast U.S. surface ozone predictions to the representation of atmospheric chemistry in CRACMMv1.0

description: Data include public CMAQv5.3-5.4 code, the exact CMAQ code used in the accompanying manuscript, chemistry box model (F0AM) inputs, and CMAQ predictions of ozone at AQS sites. Ozone units are ppb unless otherwise indicated.
DOI: 10.23719/1528691
title: Identification of differentially expressed genes and networks related to hepatic lipid dysfunction

description: Jaleh A. Abedini, Sakshi Handa, Stephen Edwards, Brian Chorley, Hisham El-Masri,
Identification of differentially expressed genes and networks related to hepatic lipid dysfunction, Toxicology and Applied Pharmacology, Volume 382, 2019, 114757, ISSN 0041-008X, https://doi.org/10.1016/j.taap.2019.114757.
DOI: 10.23719/1528695
title: Fate of arsenicals in mice carrying the human AS3MT gene exposed to environmentally relevant levels of arsenite in drinking water

description: Metadata for "Douillet, C., Miller, M., Cable, P.H. et al. Fate of arsenicals in mice carrying the human AS3MT gene exposed to environmentally relevant levels of arsenite in drinking water. Sci Rep 13, 3660 (2023). https://doi.org/10.1038/s41598-023-30723-8"
DOI: 10.23719/1528783
title: Expanded ORD PFAS SEM

description: We used systematic evidence map methods to summarize the available epidemiological and animal bioassay evidence for an expanded set of ~345 PFAS that were prioritized in 2019 by the EPA’s Center for Computational Toxicology and Exposure (CCTE) for in vitro toxicity and toxicokinetic screening. This work builds upon our previously published evidence map for ~150 PFAS chemicals (Carlson et al. 2022, https://doi.org/10.1289/EHP10343).
DOI: 10.23719/1528921
title: Dataset for journal article 'The DevTox Germ Layer Reporter Platform: An Assay Adaptation of the Human Pluripotent Stem Cell Test'

description: The zip file enclosed contains README_Gamble_DevTox GLR_Sup Data_v1.docx, Gamble_DevTox GLR_Sup Fig_Submission_v1.docx, Gamble_DevTox GLR_Tables_Submission_v1.xlsx, Gamble_DevTox GLR_Sup Tables_Submission_v1.xlsx, ToxCast Pipeline plots for AEID 3093-3098.
DOI: 10.23719/1528967
title: Ohio Wastewater Monitoring Network Interlaboratory Assessment: EPA/ORD lab data

description: An interlaboratory assessment of the 8 analytical laboratories participating in the Ohio Wastewater Monitoring Network was conducted. This assessment compared measured results of SARS-CoV-2 gene fragments, fecal indicator organism and matrix spike. The data provided here are the results generated by the EPA/ORD lab participating in the network.
DOI: 10.23719/1529139
title: Liver weight changes in rats and mice database

description: This dataset was prepared from the US Environmental Protection Agency's (EPA) Toxicity Reference Database (ToxRefDB) that contains information for 1,142 chemicals and 5,960 studies. Curations include information regarding the study design, chemical identity, dosing, treatment group parameters, treatment-related (significantly different from control) and critical (adverse) effects for all dose treatment groups, as well as endpoint testing status according to guideline specifications. 
ToxRefDB data was examined for all subchronic (SUB) studies with complete curations, which included registrant-submitted toxicity studies from the US EPA’s Office of Pesticide Programs (OPP) and guideline studies sourced from the National Toxicology Program (NTP). 

Statistically significant differences between treatment and control group data at p<0.05 within the source documents was extracted and denoted with a “treatment-related” Boolean indicator “true”. Across the studies with absolute liver weights and relative-to-body (RLW) liver weights, the treatment-related mean effect values at the lowest effect (LE) dose levels as well as mean control liver weights were determined for all chemical-study-sex-species-exposure route groupings. The LE-ALW and LE-RLW changes were quantified as effect size differences from control using the following equation:
Effect_size = 100 x (LE Effect_value – Control Effect_Value) / Control Effect_Value

Any microscopic liver pathology effects occurring at the corresponding LE dose level of weight change were also identified and listed in the dataset. Histopathology terms were presented as they appeared in ToxRefDB without harmonizing different hierarchical levels and aggregating multiple terms used to depict the same lesions.
The final dataset that includes chemical stressor information, study source identifiers, study type, sex, species, strain, administration route, administration method, dose level, mg/kg/day value, qualitative and quantitative effect information, effect size from control, and pathology effects if present. The dataset includes data from 389 subchronic studies on 273 chemicals.
DOI: 10.23719/1529158
title: EPA Data for Potential hazards of PAHs in Great Lakes tributaries using water column and porewater passive samplers and sediment equilibrium partitioning

description: Data associated with Supplementary Figures S5-S9 from Potential hazards of PAHs in Great Lakes tributaries using water column and porewater passive samplers and sediment equilibrium partitioning
 
Austin K. Baldwin,a Steven R. Corsi,b David A. Alvarez,c Daniel L. Villeneuve,d Gerald T. Ankley,d Brett R. Blackwell,d Marc A. Mills,e Peter L. Lenaker,b Michelle A. Nottb 
 
a U.S. Geological Survey, Boise, Idaho, USA  
b U.S. Geological Survey, Middleton, Wisconsin, USA 
c U.S. Geological Survey, Columbia, Missouri, USA
d U.S. Environmental Protection Agency, Duluth, Minnesota, USA 
e U.S. Environmental Protection Agency, Cincinnati, Ohio, USA
DOI: 10.23719/1529430
title: Speciation of inorganic arsenic with LC-EIS-MS

description: This is the manuscript and supplementary material for "Speciation of Inorganic Arsenic with Mixed-Mode HPLC- Electrospray Ionization-Mass Spectrometry and Arsenite Oxidation"
DOI: 10.23719/1529766
title: RI Mo-DO-N study sampling locations

description: Dates and locations where sediment samples were collected and notes of any observations at the time.
DOI: 10.23719/1529772
title: Prioritizing Pesticides of Potential Concern and Identifying Potential Mixture Effects in Great Lakes Tributaries Using Passive Samplers

description: Dataset for "Loken LC, Corsi SR, Alvarez DA, Ankley GT, Baldwin AK, Blackwell BR, De Cicco LA, Nott MA, Oliver SK, Villeneuve DL. Prioritizing Pesticides of Potential Concern and Identifying Potential Mixture Effects in Great Lakes Tributaries Using Passive Samplers. Environ Toxicol Chem. 2023 Feb;42(2):340-366. doi: 10.1002/etc.5491. Epub 2022 Dec 23. PMID: 36165576; PMCID: PMC10107608."
DOI: 10.23719/1529830
title: Dataset for evaluating timescales of Benthic Macrofaunal Response to Diel and Episodic Low Oxygen in a Subtropical Estuary

description: This dataset is a collection of three spreadsheets with data that went in to the manuscript associated with this record.  "Pensacola Mid Bay WQM Master_11.2023.xlsx" are data collected from Pensacola Bay, FL in 2017 and include continuous Water Quality Monitoring data from two sites in the mid-bay region of the estuary and dates when benthic surveys occurred. "Pensacola Mid Bay Environmental Data_11.2023.xlsx" are discrete water quality and sediment quality data collected from Pensacola Bay in 2016-2017.  "Pensacola Mid Bay Bugs Master_11.2023.xlsx" are macrobenthic ("bugs") community data collected from Pensacola Bay in 2016-2017 and the condition index calculations and scores. Metadata are provided as separate tabs in the spreadsheets.
DOI: 10.23719/1529936
title: U.S. Food Waste Flows Between Sectors, 2018 v1.3.2

description: These Flow-By-Sector (FBS) datasets capture food waste flows between waste-generating sectors and waste management pathways. The sectors are generally North American Industry Classification System (NAICS) 2012 codes. The first dataset, method 1 (m1), attributes food waste generation and disposition data from the USEPA Wasted Food Report to sectors. The second method, method 2 (m2), attributes wasted food data from the National Commercial Non-Hazardous Waste (CNHW) FBS dataset to sectors.

These food waste datasets were generated with FLOWSA v1.3.2 (https://github.com/USEPA/flowsa/tree/v1.3.2). M1 is generated with https://github.com/USEPA/flowsa/blob/v1.3.2/flowsa/methods/flowbysectormethods/Food_Waste_national_2018_m1.yaml and m2 is generated with https://github.com/USEPA/flowsa/blob/v1.3.2/flowsa/methods/flowbysectormethods/Food_Waste_national_2018_m2.yaml. The metadata text files included as a supporting document records the FLOWSA tool version and input dataset bibliographic details. The CNHW data were generated in FLOWSA v1.3.0, with the method file https://github.com/USEPA/flowsa/blob/v1.3.0/flowsa/methods/flowbysectormethods/CNHW_national_2018.yaml.
DOI: 10.23719/1529953
title: Using Pop-GUIDE to Assess the Applicability of MCnest for Relative Risk of Pesticides to Hummingbirds

description: - Text description of regulatory methods for estimating nectar and pollen concentrations from soil applications and seed treatments; 
- Table S1: Parameter set for imidacloprid used for simulations to assess the relative risk of neonicotinoid pesticides to hummingbirds.
- Table S2: Full sensitivity results for ruby-throated hummingbird exposure to imidacloprid simulation
- Table S3: Data used for estimating the Mineau scaling factor for imidacloprid.
DOI: 10.23719/1529963
title: Assessing utility of thyroid in vitro screening assays through comparisons to observed impacts in vivo

description: Supplementary data for "Stephanie A. Eytcheson, Jennifer H. Olker, Katie Paul Friedman, Michael W. Hornung, Sigmund J. Degitz, Assessing utility of thyroid in vitro screening assays through comparisons to observed impacts in vivo, Regulatory Toxicology and Pharmacology, Volume 144, 2023, 105491, ISSN 0273-2300, https://doi.org/10.1016/j.yrtph.2023.105491."
DOI: 10.23719/1530107
title: Data on county-level forest tree carbon estimates from Reese et al. "Geographic variation in projected US forest aboveground carbon responses to climate change and atmospheric deposition"

description: This is the data for Reese et al. in Environmental Research Letters  "Geographic variation in projected US forest aboveground carbon responses to climate change and atmospheric deposition." It includes the estimated forest aboveground carbon from 2010 to 2100 for each forested county in the contiguous U.S. across all 20 scenarios analyzed.
DOI: 10.23719/1530323
title: Diatom and environmental data

description: These raw data associated with this research were collected as part of the United States Environmental Protection Agency's 2018-2019 National Rivers and Streams Assessment (NRSA). The worksheet "Water chemistry data" includes environmental variables examined in this study including total phosphorus (TP), total nitrogen (TN), conductivity, pH, and ecoregion. The worksheet "Diatom ASVs" includes relative abundances of gene sequence reads for each amplicon sequence variant (ASV), which are referred to as taxa.
DOI: 10.23719/1530334
title: Raw data presented in manuscript "The Pollutant Perfluorohexane Sulfonate (PFHxS) Reduces Serum Thyroxine but Does Not Alter Thyroid Hormone Action in the Postnatal Rat Brain" by O'Shaughnessy et al. 2024.

description: Raw data to accompanying manuscript "The Pollutant Perfluorohexane Sulfonate (PFHxS) Reduces Serum Thyroxine but Does Not Alter Thyroid Hormone Action in the Postnatal Rat Brain".
DOI: 10.23719/1530865
title: TracMyAir Pilot Studies 1 and 2

description: data for manuscript titled "Smartphone Application (TracMyAir) for Modeling Exposures to PM2.5 and Ozone – Integration with Air Quality Networks and Location-Activity Sensors" by M. Breen, V. Isakov, et al.
DOI: 10.23719/1530984
title: Pervasive environmental chemicals impair oligodendrocyte development

description: Data for EPA collaboration with Case Western Reserve Univ, Erin Cohn, et al. 'Pervasive environmental chemicals impair oligodendrocyte development', DOI https://doi.org/10.1038/s41593-024-01599-2. 
Primary screening results are available in Supplementary Table 1 and will be included in a future public release of the EPA ToxCast database. RNA-seq datasets generated in this study have been deposited in Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo) under accession code GSE244500
DOI: 10.23719/1531086
title: MetSim: Integrated Programmatic Access and Pathway Management for Xenobiotic Metabolism Simulators

description: With exception of metabolic simulations performed using TIMES (version 2.31.2.82), all work was performed using Python (version 3.10.4) run with IPython (version 8.4.0) in JupyterLab (version 3.3.2). The Toolbox API (OECD Toolbox version 4.5 with Service Pack 1 update, API version 6), and BioTransformer (Wishart Lab, version 3.0, executable Java Archive, June 15, 2022 release) were used for automated metabolic simulations. Efficient batch execution of metabolism simulations was handled via parallel processing multiple individual calls to either BioTransformer or the Toolbox API via the “multiprocess” package. The command line interface (CLI) calls needed to interact with BioTransformer were executed via the “subprocess” package, and the Toolbox API was queried via its Swagger user interface hosted on a locally running Windows Desktop instance of the Toolbox Server. The data generated from the MetSim hierarchical schema were translated into JavaScript Object Notation (JSON) format using Python. The resulting data were inserted into a Mongo Database (MongoDB) using the “pymongo” package for efficient storage and retrieval. The code repository including all Jupyter Notebooks documenting the analysis performed and the MetSim framework are available at https://github.com/patlewig/metsim. Data files needed to reproduce the analysis are provided at https://doi.org/10.23645/epacomptox.25463926 and as Supporting Information.