cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23719/1531767
title: TEMMS Groundwater and Surface Water Monitoring Data: October 2022-March 2023

description: The data compiled in this file were collected at the Theis-Nash Environmental Monitoring and Modeling Site managed by the University of Cincinnati.  The monitoring network consisted of ten shallow piezometers installed in a compound bar within the Great Miami River.  A stilling well was also installed within the river channel to monitor surface water stage.  These locations were instrumented with logging pressure transducers and STIC loggers to collect a continuous record of water elevation, temperature, and specific conductance.  Pressure data were converted to absolute elevation based on manual depth to water measurements from surveyed reference locations at the top of piezometer casings and stilling well support post.  STIC relative conductivity readings were converted to specific conductance using calibration relationships developed for each logger prior to deployment and subsequent benchmarking to manual measurements of specific conductance within the piezometers and the river conducted during the deployment period.  Data from the transducers and STIC sensors were acquired during the period from October 2022 to March 2023; manual measurements were conducted during periods of low stage when the compound bar was exposed within the river channel.
DOI: 10.23719/1531784
title: Source code for Base_Het and sensitivity model runs

description: Source code for Base_Het, TMI_sens, TMI_NO2_sens, and ALL_Ionic model runs associated with this paper.
DOI: 10.23719/1532117
title: Rainwater QMRA high-pressure vehicle washing

description: Data supporting publication figures
DOI: 10.23719/1520084
title: Data contributed by EPA/ORD/CEMM/AESMD to the manuscript "Four decades of United States mobile source pollutants: spatial-temporal trends assessed by ground-based monitors, air quality models, and satellites"

description: Files containing daily average NO, NO2, CO, and EC concentrations simulated by WRF/CMAQ at 36 km resolution for the time period 1990 – 2010. These data were contributed by EPA/ORD/CEMM/AESMD researchers to the manuscript “Four decades of United States mobile source pollutants: spatial-temporal trends assessed by ground-based monitors, air quality models, and satellites”.
DOI: 10.23719/1520159
title: The Detailed Emissions Scaling, Isolation, and Diagnostic (DESID) module in the Community Multiscale Air Quality (CMAQ) Modeling System version 5.3

description: This dataset documents the simulations demonstrating the capabilities of the new DESID module, a part of CMAQ that allows for adjustment of emissions and expanded diagnostic output.

There are three figures, each with four subpanels, that are provided here. They are all present in the supporting information of the manuscript. There are no figures with data in the main manuscript.
DOI: 10.23719/1520440
title: Lake Superior zooplankton composition data, from 2016, via morphological ID and via DNA metabarcoding

description: Dataset contains site x zooplankton taxa data from Lake Superior in 2016.  Different tabs have data from morphological ID and from DNA metabarcoding ID with 4 different genetic markers.
DOI: 10.23719/1520859
title: Dataset for Chemical Signatures of neurodevelopmental disorders

description: This dataset contains the data, code and associated files for the manuscript Authored by Marable et al.
DOI: 10.23719/1520962
title: Linear combination fitting data of zinc speciation used for Figure 4A.

description: The dataset is an Excel file with data on Zn linear combination spectra used to create figure 4A.
DOI: 10.23719/1520971
title: Dataset for Relationship between temperature and mortality in the United States: changes in city-level vulnerability and implications for future projections based on a geographically clustered meta-regression

description: This dataset supports the manuscript "Relationship between temperature and mortality in the United States: changes in city level vulnerability and implications for future projections based on a geographically clustered meta-regression", in press at Lancet Planetary Health. 

The dataset includes a description of primary data sources, the code used to process the primary data, the intermediate data produced, and the code used to produce figures for the paper.
DOI: 10.23719/1522590
title: SciHub Data for Haugland et al JMM 2020

description: Paired data for estimates of E. coli concentrations by culture analysis and E. coli gene copies by Draft Method C for 6965 ambient water samples from state of Michigan
DOI: 10.23719/1522941
title: Interactive effects of biochar amendment and lead toxicity on soil microbial community

description: Supplementary material for manuscript.
GenBank Accession numbers to DNA sequences obtained and used.
Taxonomy of OTUs - large txt file tab delimited
Number of sequences per OTU per Sample - large txt file tab delimited
DOI: 10.23719/1522957
title: Cyanobacteria state reported events and recreation advisories

description: Geospatial and temporal records of NRDC state reported HAB events and state recreational advisories with matching MERIS and Setninel-3 satellite data
DOI: 10.23719/1523052
title: Inter-model comparison of Gulf of Mexico hypoxia and its response to reduced nutrient loads: Effects of Phytoplankton and Organic Matter Parameterization. Model and analysis dataset.

description: This dataset provides model output and post-processed analysis of model data used in the inter-model comparison of hypoxia dynamics in the northern Gulf of Mexico. Post-processed data are available for each figure or categorical analysis as described in the filename. All relevant metadata and descriptive headers are provided within each data file. For raw model output, please visit EPA's Environmental Dataset Gateway (EDG) at: https://edg.epa.gov/metadata/catalog/main/home.page.
DOI: 10.23719/1523104
title: 2021 - Inactivation of MS2 bacteriophage on copper film

description: Efficacy data against MS2 Bacteriophage, from a study of CuVerro V copper film.
DOI: 10.23719/1523113
title: Coral Reef Benthic BCG Narrative Model dataset 

description: The dataset contains the responses and rating from coral reef experts who served on a panel to develop a numeric model for the biological condition gradient (BCG).  The BCG is a tool to assess the condition of coral reefs.  Experts were provided workbooks containing a suite of condition metrics for coral and other benthic assemblages to evaluate.  This data set contains the records for the BCG level ranked condition  for each site rated by each expert. It also includes an explanation of each experts logic for their assigned score.  Median scores for each site were calculated from all experts scores and assigned as the final site score. The experts narrative logic and median scores were used to develop numeric decision rules with threshold values between the levels for the coral reef BCG model.
DOI: 10.23719/1523114
title: volatile organic compounds measurements

description: volatile organic compound concentrations
DOI: 10.23719/1523483
title: Dataset for the study investigating respiratory and cardiovascular benefits of fish oil or olive oil supplementation against acute exposure to ozone in young healthy adults

description: This study is a randomized trial to investigate whether dietary supplementation with fish oil or olive oil modulate respiratory and cardiovascular effects of acute exposure to ozone in a controlled exposure chamber in young healthy adults. The dataset contains all the data for the outcome variables.
DOI: 10.23719/1524247
title: Repeat-dose toxicity prediction with Generalized Read-Across (GenRA) using targeted transcriptomic data

description: Here are all of the data files used for this manuscript. Please note that this is all published data. Imran Shah 1.1060+ Chemicals and Chemical controls 2. Chemical descriptors (chm): 2048 Morgan (mrgn) 2048 Topological Torsion (tptr) 729 ToxPrints (toxp) 3. Transcriptomic descriptors(bio): 95 Gene (ge) 189 Assay (asy) 4. 922 Toxicity outcomes(tox) 5. 86 Predefined Chemical Clusters
DOI: 10.23719/1524280
title: Impacts of climate change on estuarine hydrodynamics and implications for hypoxia within a shallow subtropical system -- Full Dataset

description: Data for manuscript titled, "Impacts of climate change on estuarine hydrodynamics and implications for hypoxia within a shallow subtropical system". The data is organized by figure. 

Abstract: Vertical density stratification often plays an important role in the formation and expansion of coastal hypoxic zones through its effect on near-bed circulation. However, the impact of future climate change on estuarine circulation and hypoxia is widely unknown. Here, we developed and calibrated a three-dimensional hydrodynamic model for Pensacola Bay, a shallow subtropical estuary in the northeastern Gulf of Mexico. Hindcast simulations for 2013 – 2017 were applied to examine changes in salinity, temperature, and density distribution under future climate scenarios, including increased radiative forcing (IR), temperature (T), freshwater discharge (D), sea-level (SLR), and wind (W). Simulations showed that the impacts of climate change on modeled state variables varied over time with external forcing conditions. The model demonstrated the potential for sea-level rise (+0.48 m) and increased freshwater discharge (110%) to episodically increase vertical density gradients in the Bay. However, increased wind forcing (150%) destabilized vertical gradients, reducing the spatial extent and duration of strong stratification. For example, from March – June 2014 total area, wherein the bottom to surface density difference (Δσt) exceeded16 kg m-3, decreased by 33% (8.5 km^2) for the climate change (T+D+SLR+W) model. Wavelet coherence analysis revealed that the greatest differences in temperature and salinity between Base and T+D+SLR+W models occurred at hourly to daily timescales and primarily impacted the bottom layer. Results from this study suggest decreased density stratification and bottom temperature due to enhanced wind mixing and saltwater intrusion may mitigate future expansion of summertime hypoxia due to climate change.
DOI: 10.23719/1524296
title: Incorporating human exposure information in a weight of evidence approach to inform design of repeated dose animal studies

description: Dataset for "Incorporating human exposure information in a weight of evidence approach to inform design of repeated dose animal studies"
DOI: 10.23719/1524668
title: Dataset of Biota-Sediment Accumulation Factors for PFAS, Version 1

description: The file is a compilation of reported Biota-Sediment Accumulation Factors (BSAFs) for PFAS for aquatic species.  The file has the BSAFs as reported in the source and then, adjusted to units of kg-OC/kg-ww.  File also contains location information (where the measurement was done), an evaluation of its study quality, citation, number of samples used in determining the BSAF, complete taxonomic information, kinetic information when available, and when available, concentrations in the sediment and organism used to determine the BSAF
DOI: 10.23719/1524806
title: Legends, Methods and Supplementary data files.

description: The meta data for the tables and figures are described in the Legends, Methods and Supplementary data files.
DOI: 10.23719/1526396
title: FieldAnalyzers

description: Compilation of datasets containing paired lead-in-water measurements by laboratory analysis and by field analyzers.
DOI: 10.23719/1526404
title: Data and code for Boaggio et al. Beyond particulate matter mass: heightened levels of lead and other pollutants associated with destructive fire events in California

description: This dataset provides the description and code for the analyses done in Boaggio et al. Beyond particulate matter mass: heightened levels of lead and other pollutants associated with destructive fire events in California
DOI: 10.23719/1526414
title: Pressure Dependent Experimental Data

description: Fixture level pressure-flow data collected in a premise plumbing system rig. This data was used for model parameterization, and can be used by others for the same purpose, or for comparison to data collected in their systems.
DOI: 10.23719/1526503
title: Sun Valley SciHUB 2-2-22

description: The data is described by the Excel sheet tab names.  For example, the first Sheet covers  the Medicare and Medicaid data, which is Tabulated on the 2nd Sheet called "Table 1".  The mold analysis data are on Sheets 4 and 5 and the Tabulation is the next Sheet labeled  "Table 2". Finally the PM data is covered in the last Sheet, which is labeled "Figure 1".
DOI: 10.23719/1527722
title: Head on Liner raw data

description: Data used for the manuscript collected form landfill reports
DOI: 10.23719/1527851
title: burnpit computational data

description: meta data
DOI: 10.23719/1527893
title: Data set associated with benzyl alcohol paper 2022

description: Benzyl alcohol paper data set.
DOI: 10.23719/1527956
title: Data for the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMM) version 1.0

description: Supporting data for CRACMMv1, including the SPECIATE database mapped to CRACMM, input to the Speciation Tool, profile files output from Speciation Tool for input to SMOKE, python code for mapping species to CRACMM, chemical mechanism, and mechanism metadata is available at https://github.com/USEPA/CRACMM. Specific analyses and scripts used in the manuscript "Linking gas, particulate, and toxic endpoints to air emissions in the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMM) version 1.0" such as the 2017 U.S. species-level inventory and code for figures is available here.
DOI: 10.23719/1528054
title: Dataset for Characterizing spatial information loss for wastewater-based surveillance using crAssphage: effect of decay, temperature, and population mobility

description: Two .xlsx files "crAssphage_main_v1.xlsx" and "ShedData_v1.xlsx".  Each contains metadata defining the fields in a separate tabs.  crAssphage_main_v1 contains data pertaining to the responses and the Find, Inform, and Test (FIT) framework.  ShedDate_v1 contains data pertaining to the census block groups which feeds into the model.
DOI: 10.23719/1528083
title: Metadata An analysis of degradation in low-cost particulate matter sensors

description: This file describes where to find the dataset used for this paper (PurpleAir and AQS) and the data fields used in the analysis. Contact the corresponding author for access to the code used to generate the dataset.
DOI: 10.23719/1528097
title: LSFO toxicity and chemistry

description: This is a dataset of aquatic toxicity and chemistry of three low sulfer fuel oils (LSFOs).
DOI: 10.23719/1528136
title: Wikipedia on the CompTox Chemicals Dashboard: Connecting Resources to Enrich Public Chemical Data

description: - Spreadsheet summaries of identifier availability and correctness in Wikipedia
- Tabular summaries of identifier availability and correctness in Wikipedia; summary statistics of drugboxes and chemboxes
- Investigation of John W. Huffman cannabinoid dataset
- Summary of Wikipedia pages linked to DSSTox records
- Complete identifier data scraped from Wikipedia Chembox and Drugbox pages
DOI: 10.23719/1528144
title: Holistic Sustainability Assessment of Riparian Buffer Designs: Evaluation of Alternative Buffer Policy Scenarios Integrating Stream Water Quality and Costs

description: In this study, we developed a methodology for evaluating holistic sustainability of alternative riparian buffer zone (RBZ) designs or decision management objectives. We demonstrated the methodology separately in three 12-digit Hydrologic Unit Code watersheds in the southeastern USA. We adapted the RBZ - hydrologic and water quality system assessment data of dissolved oxygen, total phosphorus, total nitrogen, total suspended solids - sediment, and biochemical oxygen demand, recently published by U.S. EPA, as environmental indicators. We calculated 20-year net present value costs as economic indicators using the costs data published by the Natural Resources Conservation Service. The holistic sustainability assessments using data envelopment analysis revealed urban RBZ to be the most sustainable (with holistic sustainability score of 1.00) across all watersheds.
DOI: 10.23719/1528150
title: Medaka Extended One-Generation Reproduction Test (MEOGRT) of 2-Ethylhexyl 4-Hydroxybenzoate

description: Evaluation of multigenerational effects of 2-ethylhexyl 4-hydroxybenzoate in Japanese medaka
Abstract  

The Japanese medaka (Oryzias latipes) extended one-generation reproduction test (MEOGRT) (Test Guideline 890.2200) is a Tier II test within the Endocrine Disruptor Screening Program of the US Environmental Protection Agency (US EPA). A modified MEOGRT was used to evaluate multigenerational effects of 2-ethylhexyl 4-hydroxybenzoate (2-EHHB) under flow-through conditions starting with adults (parent generation, F0) through a 3-week reproductive phase of the second generation (F2). Fish were exposed to one of five 2-EHHB test concentrations or a dechlorinated tap water control. Fecundity was affected at the lowest exposure (5.32 µg/L) and greater sensitivity occurred in the F1 and F2 generations. Percent fertility was also diminished progressing from >101 µg/L in the F0 generation to 101 and 48.8 µg/L in the F1 and F2 generations, respectively. Growth indices were decreased for F0 adult females and F1 subadults and adults at 48.8 µg/L 2-EHHB. Histopathologic examination of gonads, liver, kidney, and thyroid yielded possible delayed reproductive tract development in F1 subadult males, masculinization of the renal phenotype in F1 adult females (renal tubular eosinophilia), and reduced hepatic energy storage (liver glycogen vacuoles) in F1 males at 11.3 µg/L and F1 and F2 generation females at 48.8 µg/L. Endocrine-related findings included a decrease in anal fin papillae in F2 adult males at 101 µg/L. Results of this study demonstrate effects on growth, development, and reproduction that may be mediated by endocrine (weak estrogenic) and non-endocrine mechanisms. Duration of the MEOGRT should not be routinely extended beyond the OCSPP 890 guideline study design.
DOI: 10.23719/1528286
title: Ecological characteristics impact PFAS concentrations in a U.S. North Atlantic food web- Dataset

description: PFAS concentration, stable isotope, and organism data are provided for archived samples of marine/estuarine organisms collected in Narragansett Bay, RI, and associated offshore waters from 2006-2014.
DOI: 10.23719/1528370
title: Bayesian inference of chemical exposures from NHANES urine biomonitoring data

description: Data and files for "Stanfield, Z., Setzer, R.W., Hull, V. et al. Bayesian inference of chemical exposures from NHANES urine biomonitoring data. J Expo Sci Environ Epidemiol 32, 833–846 (2022). https://doi.org/10.1038/s41370-022-00459-0"
DOI: 10.23719/1528417
title: A Multiple Linear Regression Approach to the Estimation of Carboxylic Acid Ester and Lactone Alkaline Hydrolysis Rate Constants

description: The dataset contains identifying information (name, SMILES string), measured hydrolysis rate constants, and calculated molecular descriptors for 223 carboxylic acid esters and 108 lactones. The descriptors include pKa values, charge (and electronegativity), charge density (by Hückel analysis), and steric parameters (both topological and geometrical).
DOI: 10.23719/1528436
title: Polanyi Potential Theory PFAS Results

description: This dataset contains the results of a Polanyi Potential Theory approach for estimating Freundlich Isotherm capacity parameters for 428 per- and polyfluoroalkyl substances (PFAS) on granular activated carbon (GAC). This also includes the results of a Hamiltonian Markov Chain Monte Carlo analysis used to generate the parameter estimates. These values are associated with a manuscript, which describes the findings and associated limitations of this data.
DOI: 10.23719/1528464
title: Dataset for "Water reuse treatment requirements based on infection vs. health burden can diverge for enteric pathogens with dose-dependent probability of illness given infection"

description: Dataset for "Water reuse treatment requirements based on infection vs. health burden can diverge for enteric pathogens with dose-dependent probability of illness given infection".  Includes fit-for-purpose pathogen log-reduction targets (LRTs) for onsite non-potable use of different source waters based on selected dose-response and health benchmark assumptions.
DOI: 10.23719/1528518
title: ESF2012_PairedSaltRecipesStudy_AllData_SciInv

description: Water chemistry, periphyton measures, periphytic algae taxonomy and cell counts, benthic macroinvertebrate taxaonomy and counts, invertebrate drift, insect emergence, and single-species toxicity test data
DOI: 10.23719/1528651
title: DINP VS T PROD AND INSL3 DOSE RESPONSE 2023

description: DATA USED IN PAPER
DOI: 10.23719/1528686
title: Supply Chain Greenhouse Gas Emission Factors v1.2 by NAICS-6

description: The datasets are comprised of greenhouse gas (GHG) emission factors (Factors) for 1,016 U.S. commodities as defined by the 2017 version of the North American Industry Classification System (NAICS). The Factors are based on GHG data representing 2019. Factors are given for all NAICS-defined commodities at the 6-digit level except for electricity, government, and households. Each record consists of three factor types as in the previous releases: Supply Chain Emissions without Margins (SEF), Margins of Supply Chain Emissions (MEF), and Supply Chain Emissions with Margins (SEF+MEF). One set of Factors (SupplyChainGHGEmissionFactors_v1.2_NAICS_CO2e_USD2021.csv) provides kg carbon dioxide equivalents (CO2e) per USD for all GHGs combined using 100 yr global warming potentials from the 4th IPPC Assessment report to calculate the equivalents. In this dataset there is one SEF, MEF and SEF+MEF per commodity. The other dataset of Factors (SupplyChainGHGEmissionFactors_v1.2_NAICS_byGHG_USD2021.csv) provides kg of each unique GHG emitted per dollar per commodity without the CO2e calculation. The dollar (USD) in the denominator of all factors uses purchaser prices in 2021 USD.  See the supporting file 'Aboutthe2019v1.2SupplyChainGHGEmissionFactors.pdf' for complete documentation of this dataset.
DOI: 10.23719/1529168
title: Dataset title: Postfire summer stream water temperature

description: Data Description: Water temperature, precipitation, and watershed attributes for burned and unburned watershed sites in the Pacific Northwest
DOI: 10.23719/1529242
title: MS Datasets and Analyses for Shenandoah River FHM Metabolomics  

description: MS Datasets and Analyses for Shenandoah River FHM Metabolomics
DOI: 10.23719/1529271
title: Membrane Malathion Paper Dataset

description: % Rejection of Salt and Malathion and Flux of Salt and Malathion data for a reverse osmosis and a nanofiltration membrane.
DOI: 10.23719/1529399
title: Coral and water samples for microplastic concentration determination from USVI and Florida

description: The data provided information on site collection such as GPS coordinates and depth for coral and water samples collected in the field. Data also provides measurement of coral tissue surface area of corals sampled for the field needed to standardize data.
DOI: 10.23719/1529440
title: SARS-CoV-2 decay

description: Decay rates of infectious SARS-CoV-2 and viral RNA
DOI: 10.23719/1529460
title: Forshay et al. 2022 Biogeochemistry https://doi.org/10.23719/1520759

description: Soil properties, processing rates, and water chemistry data.