cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23719/1521026
title: Oxidative degradation of pharmaceuticals and endocrine disrupting compounds in water

description: The dataset includes: 

TEM micrographs of rGO-Ag0/Fe3O4 NH.

XRD patterns, FT-IR spectra, and UV-Vis absorption spectra of rGO, AgNP, and rGO-Ag0/Fe3O4 NH.

X-ray photoelectron spectra of rGO and rGO-Ag0/Fe3O4 NH.

Concentrations of phenol, acetaminophen, ibuprofen, naproxen, BPA, E2, and EE2 as a function of time in graphs.
DOI: 10.23719/1521084
title: Dermal metafile for six studies for permeability estimation

description: Dermal absorption is an important route of exposure that includes pharmaceuticals, consumer products and occupational exposures. "httk" is being developed as a tool to predict internal dose after exposure. The dermal route will be added to this package in order to account for dermal exposure.
DOI: 10.23719/1521153
title: Response of Chlorophyll a to Total Nitrogen and Total Phosphorus - RepOrting standards for Systematic Evidence Syntheses in environmental research (ROSES) for Systematic Review Reports 12 March 2021

description: Additional files associated with the published article in Environmental Evidence. The ROSES form is a checklist of details that should be reported in systematic review documentation. They ensure that all necessary content required by the Collaboration for Environmental Evidence (CEE) Guidelines for Systematic Reviews in Environmental Management is present and described in detail. More information is available at: https://www.roses-reporting.com/.
DOI: 10.23719/1521251
title: ESR1 expression and DNA methylation data for FHM exposed to EE2

description: This dataset contains data for adult male fathead minnows exposed to EE2 (a synthetic estrogen). It is a targeted study on the response of the esr1 gene (expression and DNA methylation profiles) to estrogen exposure. It contains mean and standard deviation for DNA methylation levels per treatment group, and gene expression data.
DOI: 10.23719/1522393
title: PISCES dataset-Impact of dietary omega-3 FA on the association between exposure to ambient PM2.5 or ozone and the changes in cardiovascular biomarkers-5.5.2021

description: The dataset contains data of air pollution, blood lipids, vascular injury markers, coagulation markers, and heart rate variability and repolarization markers.
DOI: 10.23719/1522444
title: ImpactWorld+v1.3 for FEDEFLv1

description: ImpactWorld+ v1.3 (Bulle et al. 2019) 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, ImpactWorld+ 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 ImpactWorld+ source file and the ImpactWorld+ to FEDEFL flow mapping. The LCIA formatter accesses this mapping file through the fedelemflowlist tool available at https://github.com/USEPA/Federal-LCA-Commons-Elementary-Flow-List. This mapping file and a note about the mapping are provided separately. The LCIA Formatter generates separate Midpoint and Endpoint impact assessment methods for ImpactWorld+.

The zip files are compressed archives of JSON files following the openLCA schema at https://greendelta.github.io/olca-schema. Separate files are provided for Midpoint and Endpoint methods. Usage Notes for zip files: The files were tested to correctly import into an openLCA v1.10 database already containing flows from the FEDEFL v1.0.7. They will provide matching characterization factors for any FEDEFL v1.0 to 1.0.7 elementary flow already present in the database. The files do not contain the associated elementary flows. The complete FEDEFL v1.0.7 flow list may be retrieved from the Federal LCA Commons elementary flow list repository at 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). 

References
Bulle, Cecile, Manuele Margni, Laure Patouillard, Anne-Marie Boulay, Guillaume Bourgault, Vincent De Bruille, Viet Cao, et al. IMPACT World+: A Globally Regionalized Life Cycle Impact Assessment Method. The International Journal of Life Cycle Assessment 24, no. 9 (September 2019), 1653–74. https://doi.org/10.1007/s11367-019-01583-0.
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: 10.23719/1522542
title: NYC STEW-MAP Staten Island organizations' website hyperlink webscrape

description: The data represent web-scraping of hyperlinks from a selection of environmental stewardship organizations that were identified in the 2017 NYC Stewardship Mapping and Assessment Project (STEW-MAP) (USDA 2017). There are two data sets: 1) the original scrape containing all hyperlinks within the websites and associated attribute values (see "README" file); 2) a cleaned and reduced dataset formatted for network analysis. 

For dataset 1: Organizations were selected from from the 2017 NYC Stewardship Mapping and Assessment Project (STEW-MAP) (USDA 2017), a publicly available, spatial data set about environmental stewardship organizations working in New York City, USA (N = 719). To create a smaller and more manageable sample to analyze,  all organizations that intersected (i.e., worked entirely within or overlapped) the NYC borough of Staten Island were selected for a geographically bounded sample. Only organizations with working websites and that the web scraper could access were retained for the study (n = 78). The websites were scraped between 09 and 17 June 2020 to a maximum search depth of ten using the snaWeb package (version 1.0.1, Stockton 2020) in the R computational language environment (R Core Team 2020).

For dataset 2: The complete scrape results were cleaned, reduced, and formatted as a standard edge-array (node1, node2, edge attribute) for network analysis. See "READ ME" file for further details. 

References:
R Core Team. (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/. Version 4.0.3.

Stockton, T. (2020). snaWeb Package: An R package for finding and building social networks for a website, version 1.0.1.

USDA Forest Service. (2017). Stewardship Mapping and Assessment Project (STEW-MAP). New York City Data Set. Available online at https://www.nrs.fs.fed.us/STEW-MAP/data/.
DOI: 10.23719/1522859
title: SARS-CoV-2 Manuscript_Antimicrobial Coatings_Complete Data

description: Effectiveness data of antimicrobial coatings against SARS-CoV-2.
DOI: 10.23719/1523160
title: Data for EPA’s Air QUAlity TimE Series Project (EQUATES) Version 1

description: The US EPA developed a set of modeled meteorology, emissions, air quality and pollutant deposition spanning the years 2002 through 2017.  Modeled datasets cover the Conterminous US (CONUS) at a 12km horizontal grid spacing (12US1) and the Northern Hemisphere at a 108km (108NHEMI) using WRFv4.1.1 for meteorology and CMAQv5.3.2 for air quality modeling. New hemispheric and North American emissions inventories were developed using, to the extent possible, consistent input data and methods across all years, including emissions from mobile, fire, and oil and gas sources. Collectively these model outputs represent 100s of TB of data.  We have selected a subset of the model input and output datasets that we hope will be most useful to the air quality research community.  These datasets include:
- Emissions inventory files for the CONUS for 2002-2017 suitable for input into the Sparse Matrix Operator Kernel Emissions (SMOKE) emission processor
- CMAQ-ready emissions, initial conditions and boundary condition input files for the 12US1 domain for 2002-2017
- CMAQ-ready meteorology files for the 12US1 domain for 2013-2017.  (Fewer years of meteorology data are included due to space constraints.)
- Matched meteorology model output with surface observations for 2002-2019
- Daily average CMAQ output for the 12US1 domain for 2002-2017 for 14 pollutants
- Daily average 3D CMAQ output for 44 layers for the 108NHEMI domain for 2002–2017
DOI: 10.23719/1523479
title: ORHAB Risk Data Files - Includes Multiple Files

description: Primary data are 25 yrs of discharge (i.e. river flow) for multiple sites on the Ohio River. Supporting data are water quality variables for select sites on the Ohio river, including nutrient species, information from algal cell counts, and in-situ sensor data.
DOI: 10.23719/1503688
title: Commercial Waste National Totals by NAICS and US Satellite Tables for USEEIO

description: Three tables are provided of US commercial waste generation by NAICS codes  for (1) Commercial non-hazardous waste (non-construction),
(2) Commercial non-hazardous waste from construction, and
(3) Commercial RCRA hazardous waste.
The unique waste types within these three tables are defined in referenced sources. 

These national totals by NAICS are mapped to BEA (NAICS-based) detailed industries (388 total) from the BEA 2007 benchmark input-output tables. A crosswalk table is provided. 

Three satellite tables for the USEEIO model are provided using the mapped national waste totals and the industry gross output for the data year for that BEA industry after it has been adjusted to 2013 USD using the BEA industry-specific chain price index. See the associated manuscript for more details. The satellite table files are formatted for use in the USEEIO modeling framework (http://github.com/USEPA/useeio/) to incorporate into a USEEIO model.
DOI: 10.23719/1503697
title: Ozone-induced dysregulation of neuroendocrine axes requires adrenal-derived stress hormones

description: This study was performed to determine the role of adrenal-derived stress hormones in mediating brain effects after ozone exposure. Sham and adrenalectomized rats were exposed to air or ozone for 4 hours and within 2 hours after exposure brain regions, hypothalamus and brainstem were isolated and circulating pituitary hormones were analyzed. Global gene expression was analysed in these two brain regions using Illumina mRNA sequencing platform and data were analyzed using various bioinformatics platforms. The resulting data are included in this manuscript.
DOI: 10.23719/1504167
title: New bidirectional ammonia flux model in an air quality model coupled with an agricultural model

description: L1_cation.txt is a text dump of CEC data from EPIC output for the 12 km CMAQ grid for each of 42 crop types

CMAQv53_bidi_fix_NH3_290871_scatterplot.csv is data table used for scatter plot of observed vs AMoN NH3 concentrations shown is fig 5 in the paper

CMAQv53_bidi_fix_PM25_NH4_494657_spatialplot_diff.csv is the data table used to produce the spatial plot of the biases in modeled ammonium PM2.5 (g m-3) compared to CSN (circles), CASTNet (triangles), and SEARCH (squares) networks averaged over May to September 2016 as shown in Fig6.

CMAQv53_bidi_fix_PM25_SO4_886932_spatialplot_diff.csv   is the data table used to produce the spatial plot of the biases in modeled sulfate PM2.5 (g m-3) compared to IMPROVE (circles), CSN (triangles), CASTNET (squares), and SEARCH (diamonds) networks averaged over May to September 2016.
DOI: 10.23719/1504195
title: Targeted pathway-based in vivo testing using thyroperoxidase inhibition to evaluate plasma thyroxine as a surrogate metric of metamorphic success in model amphibian Xenopus laevis

description: These data are represented in tables and graphs in the article, "Targeted pathway-based in vivo testing using thyroperoxidase inhibition to evaluate plasma thyroxine as a surrogate metric of metamorphic success in model amphibian Xenopus laevis" by JT Haselman et al.
DOI: 10.23719/1504591
title: Buse cbFtPCR_raw data compiled

description: This is a compiled data set for the qPCR analyses, bacterial enumeration analyses, and water quality parameters collected for this study.
DOI: 10.23719/1506002
title: Data contributed by EPA/ORD/CEMM/AESMD researchers to the manuscript “Evaluating Trends and Seasonality in Modeled PM2.5 Concentrations Using Empirical Mode Decomposition”

description: Files containing daily average total and speciated PM2.5 observations and WRF/CMAQ simulations that were contributed by EPA/ORD/CEMM/AESMD researchers to the manuscript “Evaluating Trends and Seasonality in Modeled PM2.5 Concentrations Using Empirical Mode Decomposition”.
DOI: 10.23719/1506136
title: Criteria pollutant impacts of volatile chemical products informed by near-field modeling

description: Dataset includes data appearing in main text figures and CMAQ code.
DOI: 10.23719/1506138
title: Field_Publication_Summary

description: dissolved phosphorous losses
DOI: 10.23719/1510321
title: In vitro intestinal toxicity of commercially available spray disinfectant products advertised to contain colloidal silver  

description: Colloidal silver spray product characterization: Total silver, particle size, GI bioavailability, cytotoxicity
DOI: 10.23719/1517583
title: Data set for Vassallo et al

description: The dataset contains data from MEA recordings for 6 different compounds that were tested in a concentration-response format. Multiple parameters of neural network function were evaluated.
DOI: 10.23719/1518364
title: Data for Cleaner air reveals growing influence of climate on dissolved organic carbon trends

description: Surface water browning, the result of increasing concentrations of dissolved organic matter
(DOM), has been widespread in northern ecosystems in recent decades. Here, we assess a database
of 426 undisturbed headwater lakes and streams in Europe and North America for evidence of
trends in DOM between 1990 and 2016. We describe contrasting changes in DOM trends in
Europe (decelerating) and North America (accelerating), which are consistent with organic matter
solubility responses to declines in sulfate deposition. While earlier trends (1990–2004) were almost
entirely related to changes in atmospheric chemistry, climatic and chemical drivers were equally
important in explaining recent DOM trends (2002–2016). We estimate that riverine DOM export
from northern ecosystems increased by 27% during the study period. Increased summer
precipitation strengthened upward dissolved organic carbon trends while warming apparently
damped browning. Our results suggest strong but changing influences of air quality and climate on
the terrestrial carbon cycle, and on the magnitude of carbon export from land to water.
DOI: 10.23719/1518527
title: THI dataset for ScienceHubJSerrano

description: Thiacloprid (THI) is a neonicotinoid insecticide of interest to the USEPA due to its low absorption by crops, greater distribution into the surrounding areas, and potential for adverse effect to terrestrial and aquatic organisms. Prior to this report, there was very limited information addressing the ex vivo metabolism of THI by fish species and the metabolic pathways regulating its potential adverse effects. The in vitro and ex vivo biotransformation pathway of THI is defined by the formation of three primary metabolites (TM1, TM2 and TM3) via separate paths differentiated by reductive decyanation, reductive dechlorination with hydration and dealkylation processes, respectively. Kinetic rates were calculated for the rat microsomal decyanation of THI into TM1 (Km=299.2 µM and Vmax=5.3 pmol/min/mg), and for the dealkylation of THI into TM3 (Km=368.9 µM µM and Vmax=3.95 pmol/min/mg). Formation confirmation and identity inference of THI metabolites in absence of standards was achieved by LC-UV and High Resolution-MS strategies. It was concluded that the in vitro and ex vivo metabolic products of THI are conserved both across species (rat and RBT) and levels of biological organization (microsomes and liver slices), as previously reported for the neonicotinoid insecticides Imidacloprid and Acetamiprid.
DOI: 10.23719/1518536
title: The effect of thyroperoxidase and deiodinase inhibition on anterior swim bladder inflation in the zebrafish

description: The data set provides all data that were reported in results, tables, and figures associated with Stinckens et al., "The effect of thyroperoxidase and deiodinase inhibition on anterior swim bladder inflation in the zebrafish".  The data set includes:
1) Effects of three test chemicals on thyroperoxidase enzyme activity
2) Effects of three test chemicals on deiodinase enzyme activity
3) Thyroid hormone (T3 and T4) concentrations measured in exposed larvae
4) Measures of posterior and anterior swimbladder chamber inflation and surface areas.
5) Data on swimming behavior (distance) of exposed fish.
6) Measured concentrations of the test chemicals in the test media and tissues.
DOI: 10.23719/1518546
title: EPA Long-Term Monitoring of Acidified Surface Waters

description: This dataset compiles surfface water chemistry data from 1980 to 2018 and will be updated annually with an approximate lag time of one year. Data are collected in four regions in the eastern United States (Virginia streams, New York lakes and streams, Maine and New Hampshire lakes, and Vermont lakes). These data are used to calculate trends in surface water chemistry to assess aquatic ecosystem response to changes in sulfur and nitrogen deposition. Water chemistry in this data can be influenced by the ambient flow conditions. To be included in the dataset, sites needed to have regular sampling (at least once per year for 20 years).
DOI: 10.23719/1518591
title: Summary of HASPOC Waivers from 2012 through May 2018

description: Summary of HASPOC Waivers of Animal Toxicity Studies from 2012 through May 2018.
DOI: 10.23719/1518656
title: Isotope ratio mass spectrometry (IRMS) and spectroscopic techniques for microplastic characterization

description: The IRMS data set contains average d13c value comparisons of various polymer types. FTIR and micro-Raman spectroscopy data is also included that characterizes all collected samples.
DOI: 10.23719/1518674
title: Freshwater Science Figure S1A and B Block-Kriged Predictions of Specific Conductivity

description: This dataset shows the observed and predicted values of specific conductivity at 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.
DOI: 10.23719/1518675
title: Exacerbation of ozone-induced pulmonary and systemic effects by 2-adrenergic and/or glucocorticoid agonist/s 

description: This data set pertains to the manuscript "Exacerbation of ozone-induced pulmonary and systemic effects by 2-adrenergic and/or glucocorticoid agonist/s". It shows the raw data for each figure in the manuscript that is created with these data. Basically examining the influence of beta adrenergic and glucocorticoid receptor agonists on ozone-induced lung injury and inflammation.
DOI: 10.23719/1518814
title: Dataset for Field evaluation of Low-Cost Particulate Matter Sensors for Measuring Wildfire Smoke

description: Evaluation of the performance of low cost particulate matter (PM) sensors for measuring wildfire smoke. Datasets include sensor PM concentrations, reference PM concentrations measured near several wild and prescribed fires across the U.S.
DOI: 10.23719/1518897
title: Nichols et al_PMSF_ScienceHub_entry

description: This dataset describes the results of a set of experiments, the goal of which was to evaluate the effects of protease inhibitors on the trout liver S9 substrate depletion assay.  The presented data show that addition of phenylmethylsulfonyl fluoride (PMSF), a serine protease inhibitor, substantially increases the working lifetime of the trout S9 assay, resulting in improved detection of low intrinsic clearance rates.  These findings substantially increase the utility of the trout S9 assay and may have broad implications for its use to support chemical bioaccumulation assessments.
DOI: 10.23719/1518925
title: Rainfall Washoff of Spores Dataset

description: Spore washoff data from concrete and asphalt coupons generated with rainfall simulator
DOI: 10.23719/1519010
title: SMPSS GI Assessment

description: Green infrastructure (GI) is widely recognized for reducing risk of flooding, improving water quality, and harvesting stormwater for potential future use.  GI can be an important part of a strategy used in urban planning to enhance sustainable development and urban resilience.  However, existing literature lacks a comprehensive assessment framework to evaluate GI performance in terms of promoting ecosystem functions and services for social-ecological system resilience.  We propose a scenario-based planning support system to assess the capacity of urban resilience by using a robust indicator set consisting of quantitative and qualitative measurements.  Green Infrastructure in Urban Resilience Planning Support System (GIUR-PSS) supports decision-making for GI planning through scenario comparisons with the urban resilience capacity index.  To demonstrate GIUR-PSS, we developed five scenarios for the Congress Run sub-watershed (Mill Creek watershed, Ohio, USA) to test common types of GI (rain barrels, rain gardens, detention basins, porous pavement, and open space).  Results show the open space scenario achieves the overall highest performance (GI Urban Resilience Index = 4.27/5).  To implement the open space scenario in our urban demonstration site, suitable vacant lots could be converted to greenspace (e.g., forest, detention basins, and low-impact recreation areas). GIUR-PSS is easy to replicate, customize, and apply to cities of different sizes to assess environmental, economic, and social benefits provided by different types of GI installations.

Additional data described in the manuscript are available through identified data sources indicated therein.
DOI: 10.23719/1519028
title: Web-based Tool of The Non-potable Environmental and Economic Water Reuse Calculator (NEWR) 

description: NEWR tool background model and results of the applications.
DOI: 10.23719/1519120
title: State-level comparisons of annual soil loss between our calculated Revised Universal Soil Loss Equation (RUSLE) estimates and those reported by the USDA National Resources Inventory (NRI)

description: In the associated manuscript, we used the State-level National Resources Inventory (NRI) annual estimates of sheet and rill erosion to calibrate our RUSLE-derived estimates.  This data set provides the data used in and resulting from that calibration.  The data set relates to Figs 1 a-d in the manuscript.
DOI: 10.23719/1519154
title: Clouds Creek

description: Data contains information about bacterial concentrations in the water column in a mixed use watershed in Northeast GA
DOI: 10.23719/1519294
title: Data for Grassland-to-cropland conversion increased soil, nutrient, and carbon losses in the US Midwest between 2008 and 2016

description: These are the soil quality data for each county (listed by fips code) for each scenario