cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23719/1522401
title: Climate Change Impacts on Air Quality and Human Health

description: This dataset contains modeled temperature, ozone, and PM2.5 data for the United States over the 21st century, using two global climate model scenarios and two emissions datasets.
DOI: 10.5281/zenodo.8248417
title: Water Stress Data and Code

description: Data and code to support the GTAPDyn/W paper and project.
DOI: 10.23719/1520720
title: Referenced Data Pertaining to Improving the representation of HONO chemistry in CMAQ and examining its impact on haze over China

description: Contact: Jia XIng, School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China
DOI: 10.5281/zenodo.8248416
title: Water Stress Data and Code

description: Data and code to support the GTAPDyn/W paper and project.
DOI: 10.23719/1524647
title: Implementing in vitro bioactivity data to modernize priority setting of chemical inventories

description: All of the code used to analyze and report the data as well
as build confidence in the approach is available as a supplementary
RMarkdown report, and a tool to derive PODBioactivity and
PODRead-Across is available as an RShiny web-application.
The data used in the workflow are either available on public databases
or are included in the supplementary material to allow
for reproducibility of results. The results and output of the workflow
(i.e., chemical info, PODs, etc.) are provided in the supplementary
material (available as a download from the  journal article).
DOI: 10.23719/1518518
title: VELMA Seattle Work

description: MOEA and VELMA files used in support of Seattle Green Roof Modeling Project.
DOI: 10.23719/1522680
title: Comparative Analysis of Rapid Concentration Methods for the Recovery of SARS-CoV-2 and Quantification of Human Enteric Viruses and Sewage-associated Lachno3 Marker Genes in Untreated Wastewater  

description: Percent recovery data for SARS-CoV-2, concentration data for enteroviruses, adenoviruses and wastewater associated (Lachno3) marker genes
DOI: 10.23719/1522911
title: Vertical artifacts in high-resolution WorldView-2 and WorldView-3 satellite imagery

description: Satellite sensor artifacts can negatively impact the interpretation of satellite data. One such artifact is linear features in imagery which can be caused by a variety of sensor issues and can present as either wide, consistent features called banding, or as narrow, inconsistent features called striping. This study used high-resolution data from DigitalGlobe's WorldView-3 satellite collected at Lake Okeechobee, Florida, on 30 August 2017. Primarily designed as a land sensor, this study investigated the impact of vertical artifacts on both at-sensor radiance and a spectral index for an aquatic target.
DOI: 10.23719/1524778
title: Recycling of Plastics in the United States: Data for PET Flows for Material Flow Analysis and MRF and Reclaimer Calculations

description: The journal article, "Recycling of Plastics in the United States: Plastic Material Flows and Polyethylene Terephthalate (PET) Recycling Processes," has two spreadsheet files associated with it as Supporting Information which are also data sets.  The data describes 1) PET Flows for Material Flow Analysis, and 2) Material Recovery Facility (MRF) and Reclaimer Calculations.
DOI: 10.23719/1524671
title: Data for "Pathways to highly oxidized products in the d3-carene + OH system"

description: Oxidation of the monoterpene Δ3-carene (C10H16) is a potentially important and under-studied source of atmospheric secondary organic aerosol (SOA). We present chamber-based measurements of the speciated gas and particle phases during photochemical oxidation of Δ3-carene. We find evidence of highly oxidized organic molecules (HOM) in the gas phase and relatively low volatility SOA dominated by C7-C10 species. We then use computational methods to develop the first stages of a Δ3-carene photochemical oxidation mechanism and explain some of our measured compositions. We find that alkoxy bond scission of the cyclohexyl ring likely leads to efficient HOM formation, in line with previous studies. We also find a surprising role for the abstraction of primary hydrogens from methyl groups, which has been calculated to be rapid in the α-pinene system, and suggest more research is required to determine if this is more general to other systems and a feature of autoxidation. This work develops a more comprehensive view of Δ3-carene photochemical oxidation products via measurements and lays out a suggested mechanism of oxidation via computationally derived rate coefficients.
DOI: 10.23719/1520922
title: Brockmann Consult

description: Contact Kerstin Stelzer at kerstin.stelzer@brockmann-consult.de as owner of satellite data. In situ measures are publicly available at www.waterqualitydata.us; https://dec.vermont.gov/watershed/lakes-ponds/monitor/lake-champlain; and https://lter.limnology.wisc.edu/.
DOI: 10.23719/1520446
title: Omaha Lead Study data

description: We linked information on SLL at residential properties with children’s BLLs, grouping children based on whether they had pre- and/or post-remediation BLLs. Our data includes PII and we have a data use agreement that was negotiated between the Douglas County Health Department and the U.S. Environmental Protection Agency. This agreement states that, “Upon completion of this work described herein, all Restricted Data records shall be destroyed or returned … within 30 days of the completion of the work. In addition, the Institutional Review Board (IRB) protocol (UNC-IRB No. 15-1629) further outlines how the confidentiality of the data will be protected during analysis.
DOI: 10.23719/1523089
title: A Biologically Based Model to Quantitatively Assess the Role of the Nuclear Receptors liver X (LXR), and pregnane X (PXR) on Chemically Induced Hepatic Steatosis

description: The data used in this manuscript came from published literature.
DOI: 10.23719/1526072
title: Strategic Vision New Vehicle Experience Survey 2014-2016 and Fuel Economy Data

description: Data consists of 1) EPA measured fuel economy, in terms of miles per gallon (MPG) or miles per gallon equivalent (MPGe), were obtained from fueleconomy.gov for vehicle model years 2013, 2014, 2016, and 2017, and 2) New Vehicle Experience Survey (NVES) data for calendar years 2014, 2015, and 2016. The survey data is confidential business information (CBI). These data were matched at the make-model level of specificity.

The data includes over 800,000 survey responses regarding consumer characteristics, vehicle attributes, consumer satisfaction, and the consumer purchase process plus fuel economy information for purchased and considered vehicles.
DOI: 10.23719/1524750
title: Code for Predicting MIEs from Gene Expression and Chemical Target Labels with Machine Learning (MIEML)

description: Modeling data and analysis scripts generated during the current study are available in the github repository: https://github.com/USEPA/CompTox-MIEML. RefChemDB is available for download as supplemental material from its original publication (PMID: 30570668). LINCS gene expression data are publicly available and accessible through the gene expression omnibus (GSE92742 and GSE70138) at https://www.ncbi.nlm.nih.gov/geo/ .
DOI: 10.23719/1526073
title: Trophic transfer efficiency in the Lake Superior food web: Assessing the impacts of non-native species

description: This data release includes tabular data files. The dataset consists of four input data tables (Appendices A1-A4) for a Lake Superior EcoPath with EcoSim (EwE; http://ecopath.org) model parameterized to the early 21st century using 2001-2016 collections. The data presented here are primarily intended to development a static ecosystem model representing a snapshot of Lake Superior circa 2005 when the bulk of information was collected. Input data were compiled from multiple federal, state, provincial, and tribal agencies, academic institutions, published reports, theses, and peer review journal articles. This dataset includes results from lake-wide Cooperative Science and Monitoring Initiative surveys (CSMI; CSMI 2020) of Lake Superior undertaken in 2005-06, 2011 and 2016. We provide results of three lake-wide acoustic surveys (2003-2006, 2011 and 2016) that provided biomass estimates (kg/ha) of pelagic prey (cisco, bloater, kiyi and rainbow smelt); the later two (2011 and 2016) were part of the larger CSMI efforts. Our inputs on fish rely heavily on data included in Isaac (2010) who used USGS bottom trawl samples. These trawl data had been included in a previously released data set (Great Lakes Science Center 2019). We include these samples in the current release because we made a QA/QC effort to verify that the results of Isaac (2010) could be reproduced. We found that biomass estimates were close to that reported by Isaac (2010) for most groups (see associated metadata record process step 8 for details), but not exact. We opted to use biomass estimates as reported in Isaac (2010) for four species because his production to biomass (P/B) we’re using in the EcoPath model are explicitly linked to the biomass estimates provided by Isaac (2010). Collectively, these data represent the best available estimates of lake-wide population characteristics (biomass, production, consumption, diet, harvest, etc.) across trophic levels from bacteria to sea lamprey. Readers interested in learning more details about this data compilation and balancing of this Lake Superior ecosystem model should read the associated manuscript (Matthias, et al.), which is noted in the metadata cross reference section.
DOI: 10.23719/1524723
title: Optimization of Human Neural Progenitor Cells for an Imaging-Based High-Throughput Phenotypic Profiling Assay for Developmental Neurotoxicity Screening

description: Dataset for article ‘Optimization of Human Neural Progenitor Cells for an Imaging-Based High-Throughput Phenotypic Profiling Assay for Developmental Neurotoxicity Screening’ published 02/16/2022 in Neurotoxicology, a section of the journal Frontiers in Toxicology, part of the Special Research Topic: Methods and Protocols in Neurotoxicology. The zip data file contains 10 files; a 'Data for hNP1 Methods Paper' Word document, 7 Figure files in Excel, and 2 Table files in Excel.
DOI: 10.23719/1526379
title: Data from "Assessment of a regulatory measurement system for the determination of the non-volatile particulate matter emissions from commercial aircraft engines" published in Journal of Aerosol Science 2021

description: The SAE International has published Aerospace Information Report (AIR) 6241 which outlined
the design and operation of a standardized measurement system for measuring non-volatile
particulate matter (nvPM) mass and number emissions from commercial aircraft engines. Prior
to this research, evaluation of this system by various investigators revealed differences in nvPM mass emissions measurement on the order of 15–30% both within a single sampling system and
between two systems operating in parallel and measuring nvPM mass emissions from the same
source. To investigate this issue, the U. S. Environmental Protection Agency in collaboration with
the U. S. Air Force’s Arnold Engineering Development Complex initiated the VAriable Response In
Aircraft nvPM Testing (VARIAnT) research program to compare nvPM measurements within and
between AIR-compliant sampling systems used for measuring combustion aerosols generated both
by a 5201 Mini-CAST soot generator and a J85-GE-5 turbojet engine burning multiple fuels. The
VARIAnT research program has conducted four test campaigns to date. The first campaign
(VARIAnT 1) compared two essentially identical commercial versions of the sampling system
while the second campaign (VARIAnT 2) compared a commercial system to the custom-designed
Missouri University of Science and Technology’s North American Reference System (NARS) built
to the same specifications. Comparisons of nvPM particle mass (i.e., black carbon), number, and
size were conducted in both campaigns. Additionally, the sensitivity to variation in system
operational parameters was evaluated in VARIAnT 1. Results from both campaigns revealed
agreement of about 12% between the two sampling systems, irrespective of manufacturer, in all
aspects except for black carbon determination. The major source of measurement differences
(20–70%) was due to low BC mass measurements made by the Artium Technologies LII-300 as
compared to the AVL 483 Micro-Soot Sensor, the Aerodyne Cavity Attenuated Phase Shift (CAPS
PMSSA) monitor, and the thermal-optical reference method for elemental carbon (EC) determination, which was used as the BC reference.
DOI: 10.23719/1524796
title: Supporting information for the paper "Choices in land representation materially affect biofuel carbon intensity estimates"

description: Various assets supporting the implementation of the models used in the paper "Choices in land representation materially affect biofuel carbon intensity estimates". These include:

Spreadsheets with data used to create (i) new geographic regionalization, and (ii) new land representation
Python scripts that extract CSV files from the above and format them as required for the GCAM data system
Modified input files used in the GCAM data system (generated from the spreadsheets and scripts above)
Modified R script to handle new land representation, including files generated by the above
Input files for pygcam to run the scenarios modeled, and to compute carbon intensity
README file
DOI: 10.23719/1524702
title: Density data for Lake Ontario benthic invertebrate assemblages from 1964 to 2018

description: Benthic invertebrates are important trophic links in aquatic food webs and serve as useful bioindicators of environmental conditions because their responses integrate the effects of both water and sediment qualities. However, long-term data sets for benthic invertebrate assemblages across broad geographic areas are rare and, even if collected, historic data sets are often not readily accessible. This data set provides densities of benthic macroinvertebrates for all taxa collected during lake-wide surveys in Lake Ontario, a Laurentian Great Lake, from 1964 to 2018. This information resulted from surveys funded by the governments of the United States and Canada to investigate the status and changes of Lake Ontario benthic community. Of the 13 lake-wide benthic surveys conducted in Lake Ontario over the course of 54 yr, we were able to acquire taxonomic data to the species level for 11 of the surveys and data to the group level for the other two surveys. Density data are provided for taxa representing the Annelida, Arthropoda, Mollusca, Cnidaria, Nemertea, and Platyhelminthes phyla. Univariate and multivariate analyses revealed that the compositional structure of Lake Ontario invertebrate assemblages differed markedly by depth and were also significantly altered by the Dreissena spp. invasion in early 1990s. The introduction of invasive dreissenids has changed the community historically dominated by Diporeia, Oligochaeta, and Sphaeriidae, to a community dominated by quagga mussels and Oligochaeta. Considering the rarity of long-term benthic data of high taxonomic resolution in lake ecosystems, this data set could be useful to explore broader aspects of ecological theory, including effects of different environmental factors and invasive species on community organization, functional and phylogenetic diversity, and spatial scale of variation in community structure. The data set could also be useful for studies on individual species including abundance and distribution, species co-occurrence, and how the patterns of dominance and rarity change over space and time. Use of this data set for academic or educational purposes is encouraged as long as the data source is properly cited using the title of this Data Paper, the names of the authors, the year of publication, the journal name, and the article number.
DOI: 10.23719/1524639
title: National Rivers and Streams Data Set

description: EPA data is publicly available via the EPA/NARS/NRSA website. (https://www.epa.gov/national-aquatic-resource-surveys/nrsa). The non-EPA data benthic macroinvertebrate data used belonged to the New Mexico Environment Department (NMED) and is described in the QAPP. The non-EPA fish data belonged to the NMED, the Museum of Southwestern Biology, the U.S. Fish and Wildlife Service. All this data was analyzed by Tetra Tech Inc. by contarct of EPA Region 6
DOI: 10.23719/1523095
title: Food, Beverage, and Feedstock Processing Facility Wastewater: a Unique and Underappreciated Source of Contaminants to U.S. Streams

description: PCA contribution of variables; stacked barplot of PFAS compounds by facility; detected concentrations and corresponding exposure–activity ratios; toxicity quotients using aquatic life benchmarks; chemical methods; microbial methods; detected inorganic compounds; detected organic compounds; PCA eigenvalues and variances; detected bacteria growth; detected bacteria growth laboratory replicates; detected organic compounds in blank samples; surrogate recovery data; toxEval exclusions; exposure–activity ratio data by compound; exposure–activity ratio data by endpoint; aquatic life benchmark data by biocategory; organic chemicals and associated endpoint data from ToxCast; USEPA aquatic life benchmarks; and effluent and urban stormwater data from Oklahoma
DOI: 10.23719/1526406
title: Probabilistic modelling of developmental neurotoxicity based on a simplified adverse outcome pathway network

description: Table of contents																	
Table S1	DNT inventory	List of sources and associated data collected for the development of the Bayesian hierarchical model. 															
Table S2	Data collection	It contains the compiled raw data.															
Table S3	Final dataset	It contains data after curation agreed to be included in the Bayesian hierarchical model.															
Table S4	List of encoders	Machine readable format used to encode the data.															
Table S5	Machine readable	The final dataset translated into a machine readable file using the encoders listed above.															
Table S6	Results for DNT	Based on the cut-offs derived from the results themselves, three classes of DNT are proposed (low, medium and high predicted probability). Results are summarised accordingly.
DOI: 10.23719/1526443
title: useeior v1.0.0 supporting data

description: Supporting data associated with useeior v1.0.0 software.  https://github.com/USEPA/useeior/tree/v1.0.0. 
The supporting data include model specification files, sector correspondence files, data and metadata files for all economic data used in model building, as described in the associated publication.
DOI: 10.23719/1526452
title: Daphnia magna and Ceriodaphnia dubia have similar sensitivity in standard acute and chronic toxicity tests

description: Data, associated metadata, and calculation tools..
DOI: 10.23719/1523334
title: Metadata: Wet nitrogen (N) deposition to urban Latin America: filling in the gaps with GEOS-Chem

description: The data include model outputs from the GEOS-Chem model and observational datasets.
DOI: 10.23719/1524634
title: Private Domestic Well Estimates (2010)

description: This data provides improved estimates of the dependence and spatial distribution of housing units reliant on private domestic wells by census block group and block. Nationally, based on an understanding of well use from state well logs and the housing unit density, an estimated 23 million housing units are being served by this water resource, 17 per cent of the population. In 1990, 15.1 million households were reliant on wells. In the ensuing 30 years there has been over a 50 percent increase in the number of households relying on these wells. This dataset will assist in a better understanding of the reliance on private domestic wells in the US, better positioning local, state, and federal groups in protecting this water resource from contaminant sources.
DOI: 10.23719/1523053
title: Unraveling Pathways of Elevated Ozone Induced by the 2020 Lockdown in Europe by an Observationally Constrained Regional Model: Non-Linear Joint Inversion of NOx and VOC Emissions using TROPOMI

description: Concentrations alone do not provide answer to the question about how emissions are changing over the surface, in part due to simultaneous changes in transport, emissions, dynamics, photochemistry, and chemical feedback. Therefore simulating a chemical transport model benefiting from a multi-specie inversion framework using well-characterized observations should differentiate those influences enabling to closely focus on the emission part. This has another advantage in that we can, to a certain extent, disentangle the chemical and physical processes involved in the formation of ozone. Accordingly, we jointly constrain NOx and VOC emissions using well-characterized TROPOMI HCHO and NO2 columns during individual months of March, April, and May 2020 (lockdown) and 2019 (baseline). We observe a noticeable decline in the magnitude of NOx emissions in March (14-31%) in several major cities such as Paris, Madrid, and Milan expanding further to Rome, Brussels, Frankfurt, London, Warsaw, Belgrade, Kyiv, and Moscow (34-51%) in April. A large variability associated with changes in NOx emissions is indicative of varying dates and the degree of restrictions enacted to prevent the spread of the virus. For instance, NOx emissions remain in somewhat similar values or even higher in northern Germany and Moscow in March 2020 compared to the baseline. Comparisons against surface monitoring stations indicate that the model estimate of the NO2 reduction is underestimated, a picture that correlates with the number of TROPOMI samples impacted by cloudiness. During the month of April, when ample TROPOMI samples are present, the surface NO2 reductions occurring in polluted areas are described fairly well by the model (model: -21±17%, observation: -29±21%). Changes in VOC emissions are dominantly influenced by eastern European biomass burning activities and biogenic isoprene emissions. In March, however, TROPOMI HCHO sets an upper limit for HCHO changes such that the chemical feedback of NOx on HCHO constrained by TROPOMI NO2 reveals a non-negligible decline in anthropogenic VOC emissions in Paris, Milan, London, and Rome. This striking result is only achievable by jointly incorporating HCHO and NO2 observations into the inversion context. Results support an increase in surface ozone during the lockdown. In April, the constrained model features a reasonable agreement with maximum daily 8 h average (MDA8) ozone changes observed at the surface (r=0.43), specifically over central Europe where ozone enhancements prevail (model: +3.73±3.94%, +1.79 ppbv, observation: +7.85±11.27%, +3.76 ppbv).
DOI: 10.23719/1526403
title: Using Carbon, Nitrogen, and Mercury Isotope Values to Distinguish Mercury Sources to Alaskan Lake Trout

description: This data release includes results of raw water, soil, seston, and fish tissue samples collected from lakes in southwestern Alaska between 2011 and 2016. Specifically, these data include total mercury and methylmercury concentrations in water, size-sieved seston, and particulate matter of 13 remote lakes. Additionally, these data include soil and volcanic ash measurements from the surrounding watersheds. Finally, these data include energetic profiling of seston, lake trout, and sockeye salmon as well as mercury isotope measurements of the fishes. These data are important when interpreting mercury mass balance flows and bioavailability to the food web and are a part of an associated journal article published in Environmental Science and Technology Letters (https://doi.org/10.1021/acs.estlett.2c00096).