cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23719/1519575
title: Ingestion/egestion of microplastics and effects on growth in P. clivosa and A. cervicornis

description: All data is combined into one excel file, with data separated into different spreadsheets. Data includes ingestion and egestion of various size microplastics in two Caribbean coral species, Pseudodiploria clivosa and Acropora cervicornis. Data also includes growth measurements (buoyant weight, tissue surface area, and calcification) of each species.
DOI: 10.23719/1519586
title: Performance evaluation of a dead-end hollowfiber ultrafiltration method for enumeration of somatic and F+ coliphage from recreational waters

description: Percent recoveries of somatic and F+ coliphage
DOI: 10.23719/1520051
title: Mercury levels in Gambusia in the Florida Everglades, 1995-2014

description: Mercury concentrations in various environmental media, as well as water quality characteristics, from survey samples taken in the Florida Everglades
DOI: 10.23719/1520128
title: Benthic macroinvertebrate community response to environmental changes over seven decades in an urbanized estuary in the northeastern United States_data

description: These are the data supporting the manuscript, "Benthic macroinvertebrate community response to environmental changes over seven decades in an urbanized estuary in the northeastern United States"
DOI: 10.23719/1520448
title: Table 3 LCF Results and Figure S2 LCF data

description: Table 3 shows the distribution of lead speciation results for soil samples along with fitting error (R factor)
Data for Figure S2 contains the sample spectra and linear combination fitting (LCF) data used to determine results in Table 3
DOI: 10.23719/1520465
title: Trends in U.S. Ozone Concentrations Adjusted for Interannual Variability in Meteorological Conditions

description: Two .Rdata files containing the data used for the statistical modeling and figures in the paper.  
daily_2000_2016.Rdata  = dataset with daily meteorology and ozone data for 2000 through 2016
ozone_sites_2000_2016.Rdata = dataset with information on the ozone monitoring sites (e.g., longitude, latitude)
DOI: 10.23719/1520596
title: Dataset for ORD-040056: Development and Validation of the TGx-HDACi Transcriptomic Biomarker to Detect Histone Deacetylase Inhibitors in Human TK6 Cells

description: Dataset used to determine the predictive accuracy of the HDACi biomarker.
DOI: 10.23719/1520735
title: Footprints in Action: How UVA is Managing its Sustainability Stewardship

description: Data on the carbon, nitrogen, water and phosphorus footprints from the University of Virginia and information about different scenarios of environmental releases.
DOI: 10.23719/1520757
title: MagnusonMatthew_A-4xh9_dataset_20210126.xlsx

description: Data corresponding to graphs in paper.
DOI: 10.23719/1520875
title: Estimates of burrowing shrimp densities and habitat area in Yaquina estuary, Oregon, in 2002

description: Estimates of the abundance and habitat area for two species of burrowing shrimps in Yaquina Bay estuary, Oregon
DOI: 10.23719/1520945
title: High-throughput sequencing taxonomic identification and morphology-based taxonomic identification raw data

description: The files include the presence/absence data by sample for either high-throughput sequencing-based taxonomy or morphology-based taxonomy. The files also include our estimates of the species' biomass in each sample, along with the presence/absence classification by taxonomic method.
DOI: 10.23719/1521145
title: Cost function data for the Bob McEwen Water Treatment Plant (2013-2016)

description: Data set used to estimate the autoregressive distributed lag (ADL) model to understand how water quality measures (e.g., raw water TOC and algal toxin) and other variables affect drinking water treatment costs at the Bob McEwen Water Treatment Plant in southwestern OH
DOI: 10.23719/1521338
title: Data associated with comparison of recharge from drywells and infiltration basins: a modeling study

description: This research effort is a modeling study using the HYDRUS (2D/3D) computer program (www.pc-progress.com) and described in the manuscript/journal article entitled “Comparison of recharge from drywells and infiltration basins: a modeling study.” 

All the tables and figures in the journal article will be documented within an Excel spreadsheet that will include worksheet tabs with data associated with each table and figure.   The tabs, columns, and rows will be clearly labeled to identify table/figures, variables, and units.   

The information supporting the model runs will be supported in the example library of HYDRUS (2D/3D) maintained by PC-Progress.  Non-standard HYDRUS subroutines for the drywell and for the infiltration pond simulations that were funded by this research will be added and made available for viewing and download.  After the 1 year embargo period the site will include a link to the PubMed Central manuscript.  For example, the HYDRUS library for the transient head drywell associated with the Sasidharan et al. (2018) paper is now active (https://www.pcprogress.com/en/Default.aspx?h3d2-lib-Drywell ).
DOI: 10.23719/1522571
title: Development of a new method, Rapid Viability RT-PCR, for Detection of Live (Infectious) Coronavirus (SARS-CoV-2) that causes COVID-19 from swab.

description: There is a need for development of an analytical method for rapid detection of SARS-CoV-2 virus which is causing the COVID-19 pandemic.  Currently available traditional tissue/cell culture-based analytical method is too laborious and takes several days to get the results on the presence/absence of viable/infectious virus in a sample.  Such a delay in getting the sample analysis results can be a serious obstacle in rapidly determining the presence of infectious virus in environment which, in turn, can impact environmental epidemiological investigations and studies on surface transmission of this virus.  In this manuscript, development of a Rapid Viability Reverse Transcriptase Polymerase Chain Reaction (RV-RT-PCR) method that can significantly reduce the time-to-results for sample analysis from several days to less than a day is described.  The RV-RT-PCR method integrates cell-culture based enrichment of the virus with virus-specific RT-PCR analysis.  The RTPCR analysis is conducted before and after the cell-culture-virus (sample) incubation.  An optimum algorithm is established such that the resultant RT-PCR cycle threshold (CT) value difference between before and after cell-culture-virus incubation RT-PCR analyses determines the presence of viable/infectious virus in the sample.  The data set included here is from this research work. A manuscript has also been included here along with the Supplemental Tables for additional data. The Data-Metadata file includes all the data and a glossary to explain the scientific terms used.
DOI: 10.23719/1503388
title: Analysis of proportional data in reproductive and developmental toxicity studies: comparison of logit transformation, arcsine square root transformation, and nonparametric analysis

description: We conducted power calculations to compare different approaches (nonparametric, arcsine square root-transformed, logit-transformed, untransformed) for analyzing litter-based proportional data.  A reproductive toxicity study with a control and one treated group provided data for two endpoints: prenatal loss, and fertility by in utero insemination (IUI).  Type I error and power were estimated by 10,000 simulations based on two-sample one-tailed t-tests with varying numbers of litters per group.  To further compare the different approaches, we conducted additional analyses with the mean proportions shifted toward zero  to produce illustrative scenarios.  Analyses based on logit-transformed proportions had greater power than those based on untransformed or arcsine square root-transformed proportions, or nonparametric procedures.
DOI: 10.23719/1503390
title:  Resilience of Microbial Communities Sequence Data Set

description: The EX_Genome_Assemblies.zip file contain the contig sequences (i.e. assembly) of fifteen isolates used for genomic and antibiotic resistance genes (ARG) analysis.

EX_OTU.fasta file contain the sequences of the bacterial 16S rRNA-encoding V4 region gene (≈250 nt) for each Operational Taxonomic Unit (OTU).
DOI: 10.23719/1503410
title: Energy and Emissions Implications of Automated Vehicles in the U.S. Energy System

description: This data includes model results generated using the MARKAL model and the EPA_US_9r database. Several scenarios involving automated vehicles were modeled. Results include emissions, fuel use, and fuel production under a variety of regimes of vehicle automation.
DOI: 10.23719/1503977
title: Time series analysis of wintertime O3 and NOx formation

description: Concentrations of 11 species are reported from continuous measurements taken during a wintertime field study in Utah. Time series data for measured species generally displayed strong diurnal patterns. Six species show a diurnal pattern of daytime maximums (NO, NOy, O3, H2O2, CH2O2, and Cl2), while five species show a diurnal pattern of night time maximums (NO2, HONO, ClNO2, HNO3, and N2O5). Vector autoregression analyses were completed to better understand important species influencing the formation of O3 and NOx. For the species studied, r2 values of predicted versus measured concentrations ranged from 0.82–0.99. Fitting parameters for the autoregressive matrix, Pi, indicated the importance of species precursors. In addition, values of fitting parameters for Pi were relatively insensitive to data size, with variations generally <10%. Variable causation was quantified using the Granger causation method. Assuming O3 and NOx behave as chemical products, reactants (in order of importance) are as follows: H2O2, N2O5, HONO, and ClNO2.
DOI: 10.23719/1504181
title: R Code of Simulations

description: The sims zip file contains R code and accompanying files needed to run the R code. Overall this code demonstrates the R code used in the study is fully functional, documented, and reproducible and that this code could reproduce the simulation results from the study with sufficient computing time. The code as presented is for a single simulated dataset and will produce estimates and confidence intervals produced by all the methods used within the study when run on that one dataset.
DOI: 10.23719/1504215
title: Full set of calculated values related to the journal article: "Review of Pervaporation and Vapor Permeation Process Factors Affecting the Removal of Water from Industrial Solvents"

description: This Excel file contains all of the calculated values associated with the journal article: "Review of Pervaporation and Vapor Permeation Process Factors Affecting the Removal of Water from Industrial Solvents"
DOI: 10.23719/1504295
title: The sensitivity of transcriptomics BMD modeling to the methods used for microarray data normalization

description: This dataset is a project file generated by BMDExpress 2.2 SW  (Sciome, Research Triangle Park, NC). It contains gene expression data for livers of rats exposed to 4 chemicals (crude MCHM, neat MCHM, DMPT, p-toluidine) and kidneys of rats exposed to PPH. The project file includes normalized expression data (GeneChip Rat 230 2.0 Array) using 7 different pre-processing methods (RMA, GCRMA, MAS5.0, MAS5.0_noA calls, PLIER, PLIER16, and PLIER16_noA calls); differentially expressed probe-sets detected by William's method (p<0.05, and minimum fold change of 1.5); probeset-level and pathway-level BMD and BMDL values from transcriptomic dose-response modeling.
DOI: 10.23719/1505454
title: Rubbertown Passive VOC Dataset

description: Rubbertown Passive VOC Dataset
DOI: 10.23719/1506128
title: Korajkic et al 20xx_Data Set

description: Geospatial dataset
DOI: 10.23719/1517616
title: Ambient Ozone and PM2.5 levels and miRNA expression-version 1.23.2020

description: The dataset contains ambient air pollution data and circulating miRNA data of subjects from the CADEE study.
DOI: 10.23719/1518369
title: Glaberman et al 2019 Chemosphere

description: This dataset contains toxicity endpoint and mode-of-action information used in an analysis of comparative toxicity and surrogate data approaches to ecological risk assessment of amphibians.
DOI: 10.23719/1518424
title: Outdoor Sampling Paper Data Set

description: This data set presents surface sampling data and weather information for Bacillus atrophaeus spores, a surrogate for B. anthracis, from a 210-day outdoor study that evaluated the detection and recovery of spores using five different sampling methods: sponge sticks, 37 mm vacuum filter cassettes, residential wet vacuums, robotic floor cleaners, and grab samples of soil, leaves, and grass.
DOI: 10.23719/1518497
title: On Tracer Breakthrough Curve Dataset Size, Shape, and Statistical Distribution

description: A tracer breakthrough curve (BTC) for each sampling station is the ultimate goal of every quantitative hydrologic tracing study, and dataset size can critically affect the BTC. Groundwater-tracing data obtained using in situ automatic sampling or detection devices may result in very high-density data sets. Data-dense tracer BTCs obtained using in situ devices and stored in dataloggers can result in visually cluttered overlapping data points. The relatively large amounts of data detected by high-frequency settings available on in situ devices and stored in dataloggers ensure that important tracer BTC features, such as data peaks, are not missed. Alternatively, such dense datasets can also be difficult to interpret. Even more difficult, is the application of such dense data sets in solute-transport models that may not be able to adequately reproduce tracer BTC shapes due to the overwhelming mass of data. One solution to the difficulties associated with analyzing, interpreting, and modeling dense data sets is the selective removal of blocks of the data from the total dataset. Although it is possible to arrange to skip blocks of tracer BTC data in a periodic sense (data decimation) so as to lessen the size and density of the dataset, skipping or deleting blocks of data also may result in missing the important features that the high-frequency detection setting efforts were intended to detect. Rather than removing, reducing, or reformulating data overlap, signal filtering and smoothing may be utilized but
smoothing errors (e.g., averaging errors, outliers, and potential time shifts) need to be considered. Appropriate probability distributions to tracer BTCs may be used to describe typical tracer BTC shapes, which usually include long tails. Recognizing appropriate probability distributions applicable to tracer BTCs can help in understanding some aspects of the tracer migration.
DOI: 10.23719/1518502
title: Need for Improved Monitoring of Spatial and Temporal Trends of Reduced Nitrogen

description: Data in Figure 1 are from publicly available databases including county-level ammonia (NH3) emissions from the US EPA National Emissions Inventory (https://www.epa.gov/air-emissions-inventories/2014-national-emissions-inventory-nei-data), ambient ammonium (NH4+) aerosol concentrations from the US EPA Clean Air Status and Trends Network (https://java.epa.gov/castnet/clearsession.do), and ambient NH3 concentrations from the National Atmospheric Deposition Program Ammonia Monitoring Network (AMoN) (http://nadp.slh.wisc.edu/data/AMoN/)

Satellite observations of NH3 from the Infrared Atmospheric Sounding Instrument (IASI V2.2R) shown in Figure 2 are also publicly available (https://en.aeris-data.fr/metadata/?dc9dcce0-9324-451b-8d79-2d6df3094068).

Diurnal profiles of ambient NH3 at different sites across the U.S. are summarized in Figure 3. Data from sites operated by EPA Office of Research and Development are attached as a spreadsheet with accompanying data dictionary.  Greg Beachley (Beachley.gregory) is the contact for data from the Charleston, SC; Beltsville, MD and Bondville, IL sites.  Katherine Benedict (Katherine.Benedict@colostate.edu) is the contact for data from the RMNP; Fort Collins, CO and  Greeley, CO sites.
DOI: 10.23719/1518524
title: Climate damage functions for estimating the economic impacts of climate change in the United States

description: Sectoral impact modeling data upon which the climate damage functions are based.  See main paper and supplemental material for additional detail and metadata.
DOI: 10.23719/1518530
title: GAC Oxidation

description: Raw materials, activation methods, and post-activation treatment used in manufacturing granular activated carbon (GAC) results in a spectrum of physicochemical characteristics that potentially impact the adsorption oxidation treatment process. A comprehensive study is lacking that assesses the effect of GAC characteristics on adsorption oxidation treatment of contaminant-spent GAC. Consequently, it is inherently assumed the treatment process is GAC-independent. Here, GACs (n=31) were characterized and used in the hydrogen peroxide (H2O2)-based adsorption oxidation treatment of 2-chlorophenol (2CP)-spent GAC. The GACs exhibited a range in surface area, pore volume distribution, metals content, surface functionality, and H2O2 reaction. Chloride recovery, the treatment metric for 2CP oxidation, indicated a wide range in oxidation (0-49.2%) where bituminous- and wood-based GAC performed best. A selected subset of GACs (n=12), amended with iron, methyl tert-butyl ether, and H2O2, exhibited a range in oxidative treatment (1.1-57.9%). Correlations were established between GAC surface functionality, H2O2 reactivity, adsorption, and contaminant oxidation indicating multiple parameters play a collective and compounding role. The order of GACs successfully used in the treatment process is bituminous-based coal > wood > coconut > peat. Results showed adsorption oxidation treatment is GAC-dependent, and therefore, GAC selection is a key factor in the success of this technology.
DOI: 10.23719/1518542
title: Nutrient data for Yuan and Jones 2019

description: Weekly samples of nutrient concentrations in a small number of Missouri Reservoirs.
DOI: 10.23719/1518552
title: Consumer-oriented phosphorus and nitrogen footprints for the U.S.

description: The P footprint approach described here emulates the N footprint approach described by Leach et al (2012), with updated (circa 2013-2015 ) values for N from Leach et al (submitted). The N footprint is defined as the N release associated with food and energy consumption, where food consumption is comprised of emissions associated with the food production chain and the treatment of human excreta after consumption. Here we focus both N and P footprints only on agricultural production, food processing, food waste, and sewage components (herein collectively the ‘food footprint’) .

Leach A M, Galloway J N, Bleeker A, Erisman J W, Kohn R and Kitzes J 2012 A nitrogen footprint model to help consumers understand their role in nitrogen losses to the environment Environmental Development 1 40–66
DOI: 10.23719/1518558
title: Data contributed by EPA/ORD/CEMM/AESMD researchers to the manuscript “Assessing the manageable portion of the ozone problem in the contiguous United States”

description: Files containing daily maximum 8-hr ozone mixing ratio observations and WRF/CMAQ simulations that were contributed by EPA/ORD/CEMM/AESMD researchers to the manuscript “Assessing the manageable portion of ground-level ozone in the contiguous United States”.
DOI: 10.23719/1518692
title: Model input files of Example 1, 2 and 3 in the research manuscript.

description: The attached excel file includes the simulation results for example 1, 2, 3 in the manuscript.
The attached zip file contains the three input files for example 1, 2, 3 in the manuscript.
DOI: 10.23719/1518772
title: Human Iodotyrosine Deiodinase Inhibition Assay: Screening of ToxCast Phase 1_v2, Phase 2, and e1k Chemical Libraries

description: The excel spreadsheet contains the resultant data from an assay for chemical inhibition of human Iodotyrosine Deiodinase (IYD) enzyme activity screened against the ToxCast Phase 1_v2, Phase 2, and e1k chemical libraries, as well as a few additional target chemicals from ToxCast Phase 3 library or used in assay development. Over 1,800 chemicals were tested in total. This data set includes the list of chemicals tested and the median, minimum, and maximum inhibition produced by each chemical when screened at target high concentration of 200 µM. 154 chemicals were further tested in concentration response, and the median, minimum, and maximum inhibition produced at each concentration for those chemicals are included. A model inhibitor (3-Nitro-L-Tyrosine) was included on each plate as a positive control, with concentration response data for those curves also included in the data set.
DOI: 10.23719/1518893
title: Data for Enteric pathogen treatment requirements for non-potable water reuse despite limited exposure data

description: This is the dataset for the research article "Enteric pathogen treatment requirements for non-potable water reuse despite limited exposure data".  It contains log reduction results for various exposure conditions as described in the text.
DOI: 10.23719/1519031
title: Acton Lake Methane_Waldo et al_2020

description: This dataset summarizes methane emission rates and relationships with biophysical variables.
DOI: 10.23719/1519082
title: Recoveries of bacilllus atropheus spores pre- and post-  vehicle interior decontamination with low concentration hydrogen peroxide vapor

description: This dataset contains information on the experimental test conditions during the low concentration hydrogen peroxide vapor decontamination tests. For each test (five tests total), it shows the number of recovered B. atropheus spores before and after the decontamination at ten interior vehicle locations. The log10 values of the recovered number of spores (before and after decontamination) are reported in the journal article. The table includes the calculated efficacy (in expressed as log reduction) as the difference in log10 values of recovered spores before and after decontamination.
DOI: 10.23719/1519149
title: Raw sequencing data set for photosynthetic microalgal fuel cell study

description: These data include raw sequencing data (bacterial 16S and eukaryote 18S rRNA genes) and a summary result table for bacteria classification in an Excel file.
DOI: 10.23719/1519299
title: Greywater Reuse - Microbial taxa 

description: This provides taxonomic data (as relative abundances) derived from metagenomic sequencing of greywater samples.