cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23719/1520130
title: Full data appendix 

description: General cognitive ability, often referred to as ‘general intelligence’, comprises a variety of correlated abilities. Childhood general cognitive ability is a well-studied area of research and can be used to predict social outcomes and perceived success. Early life stage (e.g., prenatal, postnatal, toddler) exposures to stressors (i.e., chemical and non-chemical stressors from the total (built, natural, social) environment) can impact the development of childhood cognitive ability. Building from our systematic scoping review (Ruiz et al., 2016), we conducted a meta-analysis to evaluate more than 100 stressors related to cognitive development. Our meta-analysis identified 23 stressors with a significant increase in their likelihood to influence childhood cognitive ability by 10% or more, and 80 stressors were observed to have a statistically significant effect on cognitive ability. Stressors most impactful to cognition during the prenatal period were related to maternal health and the mother’s ability to access information relevant to a healthy pregnancy (e.g., diet, lifestyle). Stressors most impactful to cognition during the early childhood period were dietary nutrients (infancy), quality of social interaction (toddler), and exposure to toxic substances (throughout early childhood). In conducting this analysis, we examined the relative impact of real-world exposures on cognitive development to attempt to understand the inter-relationships between exposures to both chemical and non-chemical stressors and early developmental life stages. Our findings suggest that the stressors observed to be the most influential to childhood cognitive ability are not permanent and can be broadly categorized as activities/behaviors which can be modified to improve childhood cognition. This meta-analysis supports the idea that there are complex relationships between a child’s total environment and early cognitive development.
DOI: 10.23719/1520140
title: Stream water isotope data from the Snoqualmie River Basin 2017-2018, and related watershed information

description: Water stable isotope data (both hydrogen and oxygen isotopes of H2O) from the Snoqualmie River Basin from 2017-2018.  This data was paired with USGS gauge data so includes watershed characteristics at the gaging stations near where water isotopes were collected.  Water isotopes were collected throughout the basin to cover the range of elevation and stream sizes.  Water isotopes were collected 5 times at all locations, and approximately twice monthly at the main stem of the Snoqualmie and larger tributaries.
DOI: 10.23719/1520464
title: Computational Estimates of Aggregate Exposure to PFOA/PFOS from 2011-2017 Using a Basic Intake and Pharmacokinetic Model

description: General aggregate PFOS and PFOA exposure estimates are based on reported summary statistics from concentration studies by media, i.e. into indoor air, outdoor air, food, water, dust and soil, and published contact rates. These values were entered into a first-order PK model to estimate PFOS and PFOA blood serum concentrations. which were then compared measured concentrations reported by the 2013-2014 National Health and Nutrition Examination Survey (NHANES) measured concentrations. These methods are an expansion of the process taken by two previous studies, which predicted body burden from aggregate route intakes for PFOA and for PFOS, respectively.
DOI: 10.23719/1520467
title: Dietary niche and growth rate of the nonnative tubenose goby (Proterorhinus semilunaris) in the Lake Superior basin, 2018

description: Biological characters of age-0 tubenose goby captured in the St. Louis River, MN-WI, during 2018:
Diet items by season with associated selection metrics
Lengths
Weights (fresh, ethanol-preserved)
Sex
Age (days)
Catch data

Biological characters of tadpole madtom captured in the St. Louis River, MN-WI, during 2018:
Diet items by season with associated selection metrics
DOI: 10.23719/1520604
title: Do Storage Conditions Affect Collected Cookstove Emission Samples?  Implications for Field Studies

description: This dataset includes measurements of particulate mass collected on filters by EPA.  Data are illustrated in Figure 2 in a scientific journal article entitled: Do Storage Conditions Affect Collected Cookstove Emission Samples? Implications for Field Studies.
DOI: 10.23719/1520607
title: SICAS2 Baseline SciHUB

description: ERMI analyses of dust samples from schools and homes in the study.
DOI: 10.23719/1520709
title: Impacts of U.S. Stream Water Exposures on Lipid Classes in Zebrafish Liver Cells

description: Impacts of U.S. Streams on the Lipidome of Zebrafish Liver Cells
DOI: 10.23719/1520733
title: Dow UAS NOx Stack Boiler Emissions

description: Read Me file with Journal title page.
Data dictionary.
Figure/Table data (CEM data, flight data, emission factor data)
DOI: 10.23719/1520736
title: Permeable Pavement Infiltration testing and Clogging Prediction Set 1 Date Ranges  12/11/209	to 8/17/12 and4 /27/217 to 3/12/20

description: This is  a data set gather from a permeable pavement parking lot at Edison Environmental Center.. Data presented is surface infiltration rates for permeable interlocking concrete pavers. Data collected using ASTM C1701.
DOI: 10.23719/1520741
title: Raw sequencing data set for urine MEC study

description: These data include raw sequencing data (bacterial 16S rRNA genes), a sample identification meta file, and a summary result table for bacteria classification in an Excel file.
DOI: 10.23719/1520744
title: Black et al_human rat and trout CLint_ScienceHub entry

description: This dataset provides measured in vitro intrinsic clearance rates for 54 chemicals tested using isolated hepatocytes from humans, rats, and rainbow trout.  The test chemicals were selected to provide broad coverage across the industrial and pesticidal chemical space while also prioritizing chemicals of interest to EPA’s Endocrine Disruptor Screening Program (EDSP).  A data evaluation framework was developed to identify results suitable for rate reporting.  Acceptable results were then used to evaluate the chemical domain of applicability of the applied methods, the influence of starting substrate concentration on measured rates of intrinsic clearance, and differences in metabolic activity among species.  These findings provide data for chemicals of specific interest to the EDSP.  More importantly, the results provide critical guidance on future use of in vitro biotransformation assays to support high-throughput chemical risks assessments.
DOI: 10.23719/1520907
title: Wildland Fire Emission Sampling at Fishlake National Forest, Utah Using an Unmanned Aircraft System

description: Emissions from a stand replacement prescribed burn were sampled using an unmanned aircraft system (UAS, or “drone”) in Fishlake National Forest, Utah, U.S.A. Sixteen flights over three days in June 2019 provided emission factors for a broad range of compounds including carbon monoxide (CO), carbon dioxide (CO2), nitric oxide (NO), nitrogen oxide (NO2), particulate matter < 2.5 microns in diameter (PM2.5), volatile organic compounds (VOCs) including carbonyls, black carbon, and elemental/organic carbon. To our knowledge, this is the first UAS-based emission sampling for a fire of this magnitude, including both slash pile and crown fires resulting in wildfire-like conditions. The burns consisted of drip torch ignitions as well as ground-mobile and aerial helicopter ignitions of large stands comprising over 1,000 ha, allowing for comparison of same-species emission factors burned under different conditions. The use of a UAS for emission sampling minimizes risk to personnel and equipment, allowing flexibility in sampling location and ensuring capture of representative, fresh smoke constituents. PM2.5 emission factors varied 5-fold and, like most pollutants, varied inversely with combustion efficiency resulting in lower emission factors from the slash piles than the crown fires.
DOI: 10.23719/1521138
title: Peripheral Metabolic Effects of Ozone Exposure in Healthy and Diabetic Rats on Normal or High-Cholesterol Diet

description: In this study, using male Wistar and Wistar-derived Goto-Kakizaki (GK) rats, which exhibit a non-obese type-2 diabetes phenotype, we investigated whether two key metabolic stressors, type-2 diabetes and a high-cholesterol atherogenic diet, exacerbate ozone-induced metabolic effects. Rats were fed a normal control diet (ND) or high-cholesterol diet (HCD) for 12 weeks starting at 4 week-age and then exposed to filtered air or 1.0-ppm ozone (6h/day) for 1 or 2 days. Metabolic responses were analyzed at the end of each day and after an 18-hour recovery period following the 2-day exposure.
DOI: 10.23719/1521163
title: Dataset_1: data in figures. Dataset_2: SI_Tables.

description: Dataset for the publication "Expanded High-Throughput Screening and Chemotype-Enrichment Analysis of the Phase II:e1k ToxCast Library for Human Sodium-Iodide Symporter (NIS) Inhibition".

https://doi.org/10.1007/s00204-021-03006-2

Dataset1 contains data for figures.
Dataset2 contains all supplemental tables data.
DOI: 10.23719/1521262
title: Distribution of data in ECOTOX across species, chemicals, and effects (June 2021 update) 

description: The ECOTOXicology Knowledgebase (ECOTOX) has been in development since the early 1980s and is maintained by the  U.S. EPA Great Lakes Toxicology and Ecology Division. ECOTOX includes curated data from toxicity tests from aquatic and terrestrial species, with results available on the web-based application: www.epa.gov/ecotox. This paper includes overview summaries of the entirety of the data currently included in ECOTOX (as of September 2020 update), with the source data for these summaries included in this Excel file.
DOI: 10.23719/1521321
title: CyAN Predictor Ranks - Upper Midwest USA

description: This dataset ranks 88 predictors run in a random forest analysis for 369 freshwater lakes in the Upper Midwest USA.
DOI: 10.23719/1522561
title: Effects of biophysical processes on diel-cycling hypoxia in a subtropical estuary - Full Dataset

description: This data file contains the entire dataset applied to the analysis of biophysical effects on diel-cycling hypoxia in Pensacola Bay. Data include continuous water quality, wind, water level, discharge, irradiance, continuous depth profile water quality, and bathymetric data used for generation of figures and tables. Data are stored in an open source NETCDF data structure, and contain all descriptive column headers necessary to access and understand the data.
DOI: 10.23719/1522855
title: Measured PFOS Concentrations in U.S. Ambient Surface Waters through 2020

description: These data were part of a critical review that looks at the occurrence of PFOS in ambient surface waters across the U.S. All data from this paper were obtained from publicly available literature, including peer-review journal articles, theses, and government and industry reports through 2020. These data include measured PFOS concentrations across the U.S., sample site location (i.e., state, waterbody, and GPS coordinates), and dates of sample collection and analysis, and analytical methods used.
DOI: 10.23719/1522950
title: Comparative stability of assay results of enterococci measured by culture and qPCR over time in bathing beach waters

description: Beach name, date & time,sampling location & depth, enteroccus qPCR (CCE) & culture (CFU) measurements
DOI: 10.23719/1524318
title: National Employment Totals by Industry 2017 v1.1

description: This dataset contains 2017 national employment by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was generated with FLOWSAv0.3.1 by calling the getFlowBySector() function and passing "Employment_national_2017" as the method name. FLOWSA is a publicly available python package that generates standardized environmental flows by industry (https://github.com/USEPA/flowsa/releases/tag/v0.3.1). The metadata text file included as a supporting document records the FLOWSA tool version and input dataset bibliographic details.
DOI: 10.23719/1504044
title: Projecting Changes in Expected Annual Damages From Riverine Flooding in the United States

description: Summary of datasets for flooding analysis reported in Wobus et al. (2019)
1)	Wobus_Flood_Damages_huc10.xlsx – contains total flood damages for floods of each specified recurrence interval, organized by HUC10, for watersheds with RiskMAP data from 3 or 5 recurrence intervals. Also includes lookup table to crosswalk from HUC10 to NCA region, and from HUC10 to the ReachID associated with the modeled flow data.
2)	CONUS_model_dT.xlsx – contains the year that each of the 29 models evaluated meets the specified temperature threshold relative to 2001-2020 baseline, on a CONUS average basis. Sheet “Summary” in that workbook is the main result from that analysis. 
3)	annmaxs_all85.zip – Contains annual maximum timeseries from all nodes in the geospatial fabric as modeled by NCAR/USBR in the VIC downscaled hydrologic dataset. These are the raw data used to generate extreme value statistics for baseline (2001-2020) and future time periods (see below). Variables are “reaches” (57116x1) with reachIDs; “modelnames85” (1x29) with model IDs; “years” (150x1) with years from 1950-2100; and “annmaxs_rcp85” (57116x150x29) with annual maximum flow values by reachID, year and model. Note the step function in annual maximum flows as reported by Wobus et al. (2017) in the year 2000 – do NOT compare pre-2000 vs post-2000 data
DOI: 10.23719/1504060
title: Childhood Chemical Exposures & ADHD

description: Odds ratio statistics for ADHD outcomes and chemical exposures
DOI: 10.23719/1504275
title: CMAQ v5.2 and WRF v3.8.1 model data, meta data and figures 

description: The data are described in detail in the uploaded file "Science hub metadata.docx".
DOI: 10.23719/1504280
title: KodavantiP-Acute_HSAB_AOP_Neurotox_Science Hub Data 090319

description: Neurotox data on in silico predicted chemicals to cause protein adducts in peripheral neurons.  Includes cytotoxicity (LDH release), changes in neuron network architecture using high content imaging and neurophysiology via microelectrode arrays.
DOI: 10.23719/1504419
title: Data for journal article Inactivation of Bacillus anthracis and Bacillus atrophaeus Spores on Surfaces with Ultraviolet Light Produced Via Either Light Emitting Diodes or a Low-Pressure Mercury Vapor Lamp

description: The spreadsheets contain the colony forming unit data for every experiment, for every test and positive control coupon replicate.
DOI: 10.23719/1504527
title: Characterization of M4 Carbine Rifle Emissions with Three Ammunition Types ARL paper 02 13 19

description: Data for figures in paper that show emissions by ammunition type and time.
DOI: 10.23719/1517565
title: Data for "The contribution of wildland fire emissions to nitrogen and sulfur deposition in the contiguous U.S.: Implications for tree growth and survival in the Northwest"

description: Data files for Koplitz et al., "The contribution of wildland emissions to deposition in the U.S.: implications for tree growth and survival in the Northwest", Environmental Research Letters, in press, 2021, doi:10.1088/1748-9326/abd26e.
DOI: 10.23719/1517590
title: K in urban landscapes

description: The dataset includes all information needed to develop Figures 2 through 5 of the manuscript.
DOI: 10.23719/1518479
title: Nitrous Oxide Formation and Dissolved Oxygen Consumption from Dichloramine Hydrolysis: Evidence of Nitrosation Stemming from Nitroxyl in Chloramination

description: The dataset is the contact information for the corresponding author to obtain data associated with the manuscript.
DOI: 10.23719/1518541
title: Climate change impacts and costs to U.S. electricity transmission and distribution infrastructure

description: Model code and output files for the analysis described in the research product.
DOI: 10.23719/1518554
title: Results from application of Approximate Probabilistic Analysis to incidence of nasal lesions from acrolein exposure

description: For estimating the distribution of the target human dose for magnitude of effect M and human incidence I (abbreviated “HDMI”) in the Approximate Probabilistic Analysis (APROBA) software tool, using the default assumptions in APROBA (primary analysis) and specific case adjustments (sensitivity analyses): 
1)	Confidence limits of the HDMI components that were input in APROBA for each analysis, and the confidence limits for the estimated HDMI distributions that were output, along with some supplementary calculations on the outputs. Also included for each analysis are the percents contribution of the HDMI components to HDMI uncertainty. 
2)	Results of Bayesian model averaging dose-response analysis of incidence of nasal lesions in the lateral wall at level II, used for the sensitivity analysis in which dose-response modeling was used to determine the point of departure. 
3)	Parameters of the HDMI distribution for varying values of human incidence I.
DOI: 10.23719/1518676
title: Region 10 EPA data included in the manuscript: The assessment and remediation of mercury contaminated sites: A review of current approaches

description: Figures 2, 3 and 4 as well as Figures S2 and S3 in the Supporting Information include data collected by (or for) the EPA at the Black Butte Mine Superfund Site.  All other data in the above mentioned Figures (as well as all other Figures/Tables in the paper) were obtained from previously published journal articles or were obtained from publicly available websites.
DOI: 10.23719/1518748
title: Particle and organic vapor emissions from children’s 3-D pen and 3-D printer toys

description: The data presented includes the total elemental analysis, via ICP-MS) of aerosol emissions from 3D printer of thermoplastic polymers.
DOI: 10.23719/1518810
title: Datasets for manuscript "Data engineering for tracking chemicals and releases at industrial end-of-life activities"

description: The GitHub repository contains a Python code (MC_Case_Study.py) to support and replicate the case study results shown in the manuscript entitled Data engineering for tracking chemicals and releases at industrial end-of-life activities. Also, it indicates the free-available Python libraries that are required for running the code "MC_Case_Study.py." The dataset "EoL_database_for_MC.csv" contains all data to execute the Python code and obtain "Figure 6: 6-level Sankey diagram for the case study", "Figure 7: Box plot for the case study", and "Figure 8: Histogram for the case study." A Table describing the data name entry and data type for the dataset "EoL_database_for_MC.csv" is shown. Also, this dataset information and Python code are provided in the manuscript Supporting Info file (see supporting documents).
DOI: 10.23719/1518921
title: Urinary miRNAs measured in rat studies associated with nephron-specific chemical toxicity

description: Urine samples were derived from a variety of archived industry-led studies, outlined in the dataset. The purpose was to measure a targeted set of miRNA targets that were represented in the Thermo Fisher TLDA A and TLDA B card sets in Figure 2. These case studies were selected due to probable nephrotoxicity, associated with published or internal records. These clinical markers and histopath evidence was included in Table 1 associated dataset. Given specific nephron toxicity, this experiment would determine miRNA candidates that may be specific toxicity biomarkers. This analysis set up the Venn Analysis in Figure 3, which specified candidates for nephron-specific analyses.
DOI: 10.23719/1519009
title: Measuring microRNAs in LCM-isolated nephron segments to determine region-specific expression

description: To determine nephron specificity of microRNA expression that may be associated as toxicity biomarker seen in the urine, laser-capture microdissection (LCM) was performed on the 4 major segment of the nephron in control rat samples. These samples were sent to Bayer for candidate digital drop PCR measurements, NIEHS for smallRNA-seq measurements, and Abcam for FirePlex measurements. smallRNA-seq  measurements were used as global assessment of miRNA expression in these segments. FirePlex and ddPCR were used as medium to low number candidate assessments, respectively, of miRNA candidates, based on seq and urine data. "Data associated with Fig 4" summarizes the ddPCR findings. "Data Associated with Figure 5" and "Data Associated with Figure 6" summarize the smallRNA-seq findings. "Data Associated with Figure 7" summarize the FirePlex findings. "Data associated with Figure 8_9" summarize the correlations of these measurements. The cumlmination of these data determine nephron-specific and enriched expression of miRNAs, that are potential candidates of toxicity markers that could leak into the urine upon chemical exposure.
DOI: 10.23719/1519044
title: Naphthalene PBPK Model with Inhalation and Skin Routes of Exposure

description: This data set includes source code that implements a PBPK model for naphthalene that allows for inhalation and skin routes of exposure. It also includes data previously published by Kim et al. (2006) that were used to calibrate and evaluate the model. The model is described in a paper that is in review at the journal Toxicological Sciences.
DOI: 10.23719/1519089
title: Coupling the dual-isotope indicators of water and nitrate indicates legacy groundwater pollution

description: Shallow groundwater samples were collected since 2006 for routine analysis by ODEQ from 16 domestic wells (installation dating from the 1970s) and 23 ODEQ groundwater monitoring wells (installation dating between 2003-2006) across the SWV-GWMA. In 2012, sampling and analysis for water isotopes (δH2O:2H-H2O and 18O-H2O) were added to the monitoring program. At that time, ODEQ collected samples quarterly in all wells. However, in 2016, ODEQ decreased sampling frequency to once a year (May/June) for all 39 wells, while 12 wells continued to be sampled every quarter. At the same time, sampling and analysis for NO3- isotopes (δNO3-: 15N-NO3- and 18O-NO3-) were added to the monitoring program. This study reports on the monitoring results through 2019, which includes 8 years of water isotope and 4 years for nitrate isotope data.
DOI: 10.23719/1519133
title: Evaluating Manual Sampling Locations for Regulatory and Emergency Response Data Set 20200727

description: This dataset includes the modeling and simulation results from an analysis of two drinking water distribution system models. The analysis included identifying optimal grab sample locations for both regulatory and emergency response scenarios. The locations were then evaluated against the scenarios for which they were not designed. The dataset includes the node IDs for the sampling locations and the fraction of contamination scenarios detected by the locations.
DOI: 10.23719/1519181
title: Where have all the nutrients gone? Long-term Decoupling of Inputs and Outputs in the Willamette River Watershed, Oregon, USA

description: The following 4 tables accompany the peer-reviewed journal article GS Metson, J Lin, JE Compton, JA Harrison. Where have all the nutrients gone? Long-term Decoupling of Inputs and Outputs in the Willamette River Watershed, Oregon, USA. JGR Biogeoscience

Values refer to the Willamette River Watershed, which was defined as the area draining to USGS gauge 14211720 (which is 29 018 km2 when delimiting using HydroSHEDs 15 arc-second flow direction maps (Lehner et al 2006)).

These datasets were created May 2017.

Authors and Affiliations:
Genevieve S. Metson1,2†,3†,4†, Jiajia Lin2†,3†,5, John A. Harrison4 and Jana E. Compton3 
1 Department of Physics, Chemistry, and Biology. Linköping University, Linköping, Sweden. 
2 National Research Council, National Academies of Science, Washington, DC, USA 
3 Pacific Ecological Systems Division, US Environmental Protection Agency, Corvallis, OR, USA 
4 School of the Environment, Washington State University, Vancouver, WA, USA 
5Oak Ridge Institute for Science and Education, Corvallis, OR, USA
 
Corresponding author: Genevieve Metson (genevieve.metson@liu.se)
† Affiliation at time of main research activities