cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23719/1531461
title: Evaluating potential developmental toxicity of perfluoroalkyl and polyfluoroalkyl substances in Xenopus laevis embryos and larvae

description: Dataset for "Degitz SJ, Degoey PP, Haselman JT, Olker JH, Stacy EH, Blanksma C, Meyer S, Mattingly KZ, Blackwell B, Opseth AS, Hornung MW. Evaluating potential developmental toxicity of perfluoroalkyl and polyfluoroalkyl substances in Xenopus laevis embryos and larvae. J Appl Toxicol. 2024 Mar 26. doi: 10.1002/jat.4599. Epub ahead of print. PMID: 38531109."
DOI: 10.23719/1531741
title: Structural Malformations in Brain Accompany Developmental Perchlorate Exposure in Rodents

description: Structural defects in the rat brain associated with maternal exposure to ammonium perchlorate accompanied reductions in circulating levels of thyroid hormone in the dam and the fetus. The magnitude of the effect was small relative to other thyroid hormone disruptors, but his was due to the lack of sufficient bioavailability of perchlorate to the nursing neonate. When pups were administered perchlorate directly for the first 6 days of life or if perchlorate was administered under conditions of maternal dietary iodine deficiency, very large brain malformations were induced.
DOI: 10.23719/1531918
title: Dataset Long term performance of six air sensors across the United States

description: From July 2019 until January 2021, six models of air sensors were operated at seven air quality monitoring sites across the U.S. in Phoenix, Arizona, Denver, Colorado, Wilmington, Delaware, Decatur, Georgia, Research Triangle Park, North Carolina, Oklahoma City, Oklahoma, and Milwaukee, Wisconsin. Sensors testing included the Aeroqual AQY, Clarity Node, Clarity Node-S, Applied Particle Technology Maxima, PurpleAir PA-II-SD, Sensit RAPM, and Aerodyne Arisense. This dataset includes the processed data from the paper "Long term performance of six PM2.5 sensors across the United States" loaded here in sciencehub and also the raw datasets from the sensors loaded into Zenodo.
DOI: 10.23719/1531939
title: National Rivers and Streams Assessment 2008/2009 Data file for Report "National Rivers and Streams Assessment 2008-2009: A Collaborative Survey

description: The National Rivers and Streams Assessment (NRSA) is a statistical survey of the condition of our nation's perennial rivers and streams. It is designed to provide information on the extent of flowing waters that support healthy biological condition and recreation, estimate how widespread major stressors are that impact the nation’s rivers and streams water quality, and provide insight into whether rivers and streams nationwide are getting cleaner.

This dataset is an archived (zipped) file comprised of chemical, physical and biological files used in developing the NRSA (2008/2009) report. Sampling was conducted over two summers (2008/2009) at approximately 2000 sites in the conterminous U.S. Sites were selected using a statistical survey (probabilistic) design. The files include water chemistry, benthic macroinvertebrates, fish assemblage, physical habitat, landscape metrics, enterococci, etc. Users are encouraged to visit the NARS data webpage for updates to data files and data from other surveys. https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys.

Citation for the NRSA 2008/2009 archived data: U.S. Environmental Protection Agency. National Aquatic Resource Surveys. National Rivers and Streams Report. Archived Data. (INSERT data and metadata files used). Available from U.S. EPA web page: https://www.epa.gov/national-aquatic-resource-surveys/national-rivers-and-streams-assessment-2008-2009-results.
 
EPA encourages users who are publishing subsets of the data (say as part of a journal article publication) to include the above citation. EPA also encourages users of the data to include the following acknowledgement: “The National Rivers and Streams Assessment 2008/2009 data were a result of the collective efforts of dedicated field crews, laboratory staff, data management and quality control staff, analysts and many others from EPA, states, tribes, federal agencies, universities, and other organizations. Please contact nars-hq@epa.gov with any questions.”
DOI: 10.23719/1531980
title: Dataset for Science 2024 Publication

description: The database represents emissions rates quantified by Carbon Mapper across landfills observed and reported in Cusworth et al. (2024). Carbon Mapper leverages hyperspectral imaging spectroscopy to detect, locate, and quantify localized methane emissions. The database contains three sheets: (1) Unique plume detections: this dataset includes individual emission detections (latitude, longitude, emission rate, emission rate uncertainty, datetime) as well as the corresponding landfill’s GHGRP ID. (2) Daily-Average Landfill Emission: daily averaged landfill emissions derived by spatial aggregation and averaging of individual landfill emissions following the methods described in Cusworth et al. (2021). (3) Time-averaged Source List: Average emission rates across all dates of observation.
DOI: 10.23719/1531992
title: CMAQ STAGE 2016 hourly gridded NH3 mixing ratios provided by EPA/ORD researchers for Makar et al. (2025) paper. 

description: This dataset contains the CMAQ STAGE hourly gridded NH3 model data provided by EPA/ORD researchers for the Makar et al. (2025) paper. The gridded data is provided in a netcdf file.
DOI: 10.23719/1531994
title: HABS-BLOCKS© inhibited cyanobacterial bloom development and reduced microcystin concentrations in a lake water mesocosm study

description: The datasets include:
1. the measurements of glucose concentrations in each mesocosm,  
2. the sonde measurements in each of the mesocosms at the beginning and end of the experiment, 
3.the quantities of the cyanobacteria measured by FlowCam at each week of the experiment,
4. the microcystin concentrations in each mesocosm for the first 4 weeks of the experiment,
5. the concentration of total nitrogen and phosphorous in the mesocosms at the beginning and end of the experiment.
DOI: 10.23719/1532048
title: High-Throughput Screening of ToxCast PFAS Chemical Library for Potential Inhibitors of the Human Sodium Iodide Symporter

description: Abbreviations and data for manuscript Figures in the main text and supplemental.
DOI: 10.23719/1532116
title: NOAA ZCTA-level daily NC weather data (2009-2021)

description: This data contains daily, ZCTA-level records of five meteorological variables: mean temperature, maximum temperature, minimum temperature, relative humidity, and dewpoint. The geographic extent of the data is the state of North Carolina, and the data can be used in spatial analyses if it is joined with 2010-2019 ZCTA boundaries from the U.S. Census. The associated codebook describes each variable including its format, units, and range of values. 

This dataset is associated with manuscript: "Effects of Extreme Humidity and Heat on Ventricular Arrhythmia Risk in Patients With Cardiac Devices" (DOI: 10.1016/j.jacadv.2024.101463).
DOI: 10.23719/1532140
title: Predicting lake chlorophyll from stream phosphorus concentrations (2024): Data and Scripts

description: Monitoring data from Minnesota and from national surveys of lakes and streams that were used in the analysis for the paper: Predicting lake chlorophyll from stream phosphorus concentrations. 

mod.mn.R.txt: R script for fitting TP-Chl model using Minnesota data
mod.nat.R.txt: R script for fitting TP-Chl model using national data
dat.nat.1.csv: National stream TP data
dat.nat.2.csv: National lake Chl data
dat.mn.1.csv: Minnesota lake Chl data
dat.mn.2.csv: Minnesota stream TP data
DOI: 10.23719/1532144
title: Calculating the Fitted Filtration Efficiency of Face Coverings

description: This code is used to calculate fitted filtration efficiency of disposable respiratory protection as measured by the difference between particulate counts in ambient vs. "behind mask" air sampled using condensation particulate counters.
DOI: 10.23719/1532147
title: Phoenix-as-a-Testbed for Air Quality Sensors (P-TAQS) Dataset used in exploring the Seasonal Effects in the Application of the MOMA Remote Calibration Tool to Outdoor PM2.5 Air Sensors

description: Maricopa County partnered with EPA Office of Research and Development to evaluate the utility of sensors to capture wood burning episodes.  For this study, PM2.5 sensors were collocated at three air quality monitoring stations within this targeted geographic area. Namely, Durango Complex, West Phoenix, and South Phoenix (designated as DC, WP and SP) for a period of 2 years to better understand sensor performance, comparability with regulatory grade monitors, and to explore drift and changes in performance over time. Approximately 6 months later, phase II began a year+ field study using sensors in a distributed network with FRM/FEM monitors to measure PM2.5 to characterize the impact of local air pollution sources—targeting the wintertime heating season in which wood combustion is the principal air pollutant source of interest; other sensors to be deployed during Phase II include black carbon sensors.

The Zenodo link provides raw PM2.5 data collected as part of the P-TAQS study from these PurpleAir sensors and reference instruments deployed at fixed sites at 1-minute time resolution ordered by site and date/time.

This ScienceHub entry contains the processed data files used to create the Figures in the manuscript titled "Seasonal Effects in the Application of the MOMA Remote Calibration Tool to Outdoor PM2.5 Air Sensors"
DOI: 10.23719/1532158
title: Ozone formation Characterization Factors (CFs)

description: This includes the ozone formation characterization factors that were developed for TRACI 3. The base model was built with a more comprehensive set of substances found in the SAPRC model.
DOI: 10.23719/1532176
title: Halophila stipulacea data from Puerto Rico

description: Biomass, density, leaf area index and plant morphology characteristics as well as tissue C:N:P.
DOI: 10.23719/1532206
title: GP NO3 Radical Production Using Irradiated Ceric Ammonium Nitrate: Insights into SOA 

description: Data set generated in collaboration with Dr Andy Lamb from Aerodyne Inc.
DOI: 10.23719/1532209
title: Printing Ink Implications for Criteria and Hazardous Air Pollutants Analysis (v1.0)

description: This dataset includes a link to the CRACMM repository which contains code describing organic aerosol and ozone calculations in Martin et al. and a jupyter notebook (in html and ipynb formats) describing the calculations leading to Figures 2-4 in Martin et al. Inputs to the notebook, data appearing in Figures 2-4, and output figures are also included. See the README and notebook for more details.

Manuscript this data supports: 
Martin, Joseph; Liu, Xiaoyu; George, Ingrid ; Seltzer, Karl; Halliday, Hannah; Hays, Michael; Pye, Havala, Implications of printing ink composition for ambient air pollutants, submitted.
DOI: 10.23719/1531655
title:  Anderson Lake Metatranscriptomics-datasets

description: Water RNA sequences, qPCR and water quality data
DOI: 10.23719/1531892
title: Ciprofloxacin and azithromycin resistant bacteria data

description: Data set includes total aerobic bacterial counts of Raw, Digested, and Treated sewage sludge materials from a single wastewater treatment plant.  Data set contains results from multiple sample events from the same wastewater treatment plant.  Total aerobic bacterial counts for the same 3 categories that are resistant to Ciprofloxacin, and Azithromycin and different levels of antibiotics.
DOI: 10.23719/1532039
title: Field emission image of wood smoke

description: Electron microscope image of wood smoke
DOI: 10.23719/1532120
title: Exposures and potential health implications of contaminant mixtures in linked source water, pre-distribution, and service-area tapwater from public-supply drinking water systems in Minneapolis/St Paul area, USA_Bioassay Results

description: Mammalian In vitro bioassay results for associated manuscript-Exposures and potential health implications of contaminant mixtures in linked source water, pre-distribution, and service-area tapwater from public-supply drinking water systems in Minneapolis/St Paul area, USA
DOI: 10.23719/1532226
title: Estrogen and glucocorticoid receptors co-regulate acrolein-induced respiratory and systemic homeostatic stress responses

description: Excel file containing individual data points for all figures and tables in the manuscript.
DOI: 10.23719/1532266
title: Delatte Metals Permeable Reactive Barrier Data

description: The U.S. Environmental Protection Agency installed a permeable reactive barrier (PRB) at the Delatte Metals Superfund Site to treat groundwater contaminated with lead and other heavy metals at a former battery recycler in Ponchatoula, Louisiana. The Dataset contains field and laboratory data that resulted from that sampling. Samples for this project were collected from 2004 to 2018.
DOI: 10.23719/1532291
title: Baseline and scenario projections estimates and FASOMGHG model algebraic structure

description: Zip file contents:
PDF file includes
1. Supplement 1: Selected Baseline Results (PDF)
2. Supplement 2: Selected Mitigation Scenario Results
3. Supplement 3: FASOMGHG Algebraic Structure

Excel of Supplement 2 outputs
DOI: 10.23719/1532056
title: Metadata for systematic review of improved cookstove technology trials

description: This dataset contains the rubric for data extraction for all papers considered for a systematic review of health impacts of improved cookstove technology trials in sub-Saharan Africa.
DOI: 10.23719/1532057
title: Mineralogical controls on PFAS and anthropogenic anions in subsurface soils and aquifers

description: The following dataset is for the manuscript "Mineralogical controls on PFAS and anthropogenic anions in subsurface soils and aquifers." This file contains data from soil and water samples collected from South Carolina by EPA Region 4 and ORD personnel. Samples were processed and analyzed in Athens, GA EPA/ORD/CEMM/EPD/CPSB, EPA/R4/LSASD, and UGA collaborators.
DOI: 10.23719/1532119
title: AHHS Dust PFAS NTA Negative Mode 3-28-25

description: This information comes from the dataset README covering the NTA data and associated metadata for this dataset.
Dust samples were collected from home vacuum bags and sieved (<150 µm). 
Internal standard (MPFAC-MXA, Wellington Labs) was spiked , dependent on dust mass, to a concentration of 10 ng/g.
Native standards (PFAC-MXA in methanol, Wellington Labs) were dosed into each calibration and QC standard.
The next day, 5 ml methanol was added to each sample.
Samples were sonicated, centrifuged, and cleaned up.
Samples were then blown down using a dry nitrogen gas stream not to dryness; samples were reconstituted to 0.5 ml with methanol as needed.
A 100 µl aliquot of sample extract was combined with 300 µl mobile phase A (see below).

Sample extracts were analyzed by UHPLC-MS/MS on a Thermo Scientific (Waltham, MA) system consisting of a TriPlus RSH autosampler/injector, Vanquish Horizon UPLC/pump system, and Thermo Orbitrap Fusion tribrid mass spectrometer.
Chromatographic separation was performed using a Restek (Bellefonte, PA) Raptor C18 column at 55 °C.
A 15-minute reverse-phase gradient was applied consisting of mobile phases A (95:5 v/v deionized water:methanol containing 2.5 mM ammonium acetate) and B (5:95 v/v deionized water:methanol containing 2.5 mM ammonium acetate).
Negative-polarity electrospray ionization [ESI (-)] was applied first, with positive-polarity applied afterwards.
Mass spectra were collected using a resolving power of 50,000, with preferred-ion data-dependent acquisition (DDA) applied to select molecular features for MS2 fragmentation.

Samples were analyzed in a single batch.
The full batch was repeated twice with randomized sample order.
Separate batches were run for ESI(+) and ESI(-) analysis, for a total of six sample batches.
Targeted methanolic calibration standards at concentrations of 1-1000 ng/g Wellington PFAC-MXA PFAS mixture were run at the start and end of the first batch.
Method blanks, QC standards, pooled samples, and solvent-only blanks were run every ten samples across all batches.

After data collection, chromatograms were processed and peak areas integrated in Thermo Scientific Xcalibur Quan Browser 4.3 for targeted quantitation.
For nontargeted identification, chromatograms and associated mass spectra were processed in Thermo Scientific Compound Discoverer 3.3.
Features were prioritized for expert identification based on a combination of high maximum abundance, strong match to library spectra, negative mass defect (for PFAS), presence as a member of a likely hologous series (for PFAS and surfactants); and/or presence of diagnostic PFAS-related fragments in their MS2 spectra.
Overall, 742 features of interest at confidence 1-3 were identified, as well as 7 confidence-5 features meriting inclusion in the final dataset, and excluding hundreds of features representing false positives/adducts/etc. tentatively identified by Compound Discoverer.
DOI: 10.23719/1532174
title: DNA metabarcoding dataset for bacteria in Gulf coast recreational beaches

description: Amplicon sequence variants from enrichment cultures and non-enriched water samples generated with primer sets targeting the V4 region of the 16SrRNA.

“This research dataset has been reviewed in accordance with U.S. Environmental Protection Agency (U.S. EPA), Office of Research and Development, and approved for release. Mention of brand names or vendors does not constitute an endorsement of products or services by the U.S. EPA.”
DOI: 10.23719/1532177
title: 2011 National Wetland Condition Assessment Diatom Dataset

description: 2011 National Wetland Condition Assessment diatom species data and corresponding site information.
DOI: 10.23719/1532178
title: USEEIO v2.5 Models

description: This dataset consists of various USEEIO v2.5 models.
All models are built using the coupled model approach described in the EPA 2024 report "Estimating embodied environmental flows in international imports for the U.S. Environmentally-Extended Input-Output (USEEIO) Model" and using the v1.7.0 release of useeior.
Models are named using an alias that corresponds with a unique set of model attributes, and the final two digits represent the last two digits of the year intended to be represented. Model alias attributes are defined at https://github.com/USEPA/USEEIO/blob/master/models.md#aliases.
Catbird and oriole are detailed and summary-level models, respectively, coupled with CEDA 2024 for representing GHGs in imports.
Kinglet and kingbird are detailed and summary-level models, respectively, coupled with EXIOBASE v3.8.2 for representing GHGs in imports.
Waxwing and yellowthroat are detailed and summary-level models, respectively, coupled with the GLORIA v59a model for representing GHGs and material flows in imports.
The summary level models are available for 2017-2022 for EXIOBASE- and GLORIA-coupled models and 2022 for the CEDA-coupled model. The detailed CEDA, EXIOBASE and GLORIA coupled models are only available for 2022 (note underlying U.S. IO data represents 2017 for detailed models). 

"v2.5-kingbird-" models replace "v2.3-s-GHG-" models, published under "USEEIO Models with Import Emission Factors for Greenhouse Gases for 2017-2022 from EXIOBASE coupled model".
"v2.5-oriole-22" replaces "v2.4-oriole-22" , published under "USEEIO Models with Import Emission Factors for Greenhouse Gases for 2022 from CEDA coupled model". 

The model objects are in unique tabs/worksheets of each file and defined in https://github.com/USEPA/useeior/blob/v1.7.0/format_specs/Model.md.
Links to the model specification files are provided below. 

More information can be found on these models in two additions to the original EPA report "Estimating embodied environmental flows in international imports for the USEEIO Model" https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=362470. The "Corrigendum: Updated Results for Consumption-based GHG Emissions" describes updates related to the EXIOBASE and CEDA coupled models. Addendum 2 describes the GLORIA coupled models. 

Please cite this dataset as "Young, Ben, and Wesley Ingwersen. 2025. USEEIO v2.5 Models. Data.gov. https://doi.org/10.23719/1532178."
DOI: 10.23719/1532242
title: Amendment effectiveness and seasonal variations in a lead contaminated acidic wetland

description: This is the data used in the publication "Amendment effectiveness and seasonal variations in a lead contaminated acidic wetland" in Applied Geochemistry (https://doi.org/10.1016/j.apgeochem.2025.106396)
DOI: 10.15468/dl.yxayqt
title: Occurrence Download

description: A dataset containing 581898 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salix caprea L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 581898 records from 2369 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014388-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j56pq5
title: Occurrence Download

description: A dataset containing 4147 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pteropus vampyrus (Linnaeus, 1758)"
 ]
}

 The dataset includes 4147 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002060-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/2gxtot
title: vlog

description: The content analysis of over 200 vlogs collected from governmental accounts on social media
DOI: 10.7910/dvn/snyogn
title: Sugarcane influencer

description: Fieldnote about a sugarcane influencer.
DOI: 10.7910/dvn/2iddgg
title: PDB: 5X8M, Durvalumab in complex with Programmed death-ligand 1 (PD-L1) , random seed 1 (311.5K, 38.5°C, 500 ns): RMSD, SASA, RMSF, Rg, H-bonds

description: PDB: 5X8M, Durvalumab in complex with Programmed death-ligand 1 (PD-L1) , random seed 1 (311.5K, 38.5°C, 500 ns): RMSD, SASA, RMSF, Rg, H-bonds
DOI: 10.7910/dvn/3yxslf
title: A13_24850.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/dd73be30-bb1d-43c3-8a6e-c9a080d8f363'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/dd73be30-bb1d-43c3-8a6e-c9a080d8f363
DOI: 10.7910/dvn/3zsdi4
title: A11_20487.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/949fdd7d-93e1-4681-90f7-85c168b6550a'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/949fdd7d-93e1-4681-90f7-85c168b6550a
DOI: 10.7910/dvn/clnurr
title: A13_25190.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/70376b21-0385-46c6-8717-9054f4f188fa'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/70376b21-0385-46c6-8717-9054f4f188fa
DOI: 10.7910/dvn/2mxdkq
title: A86_713c.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/0ce8c56d-9b90-0c97-04f9-bd7498a28652'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/0ce8c56d-9b90-0c97-04f9-bd7498a28652
DOI: 10.7910/dvn/3jocip
title: A15_29172.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/40599ad6-e382-4e27-89be-523425b7b3ee'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/40599ad6-e382-4e27-89be-523425b7b3ee
DOI: 10.7910/dvn/d4cvti
title: A10_18258.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/fcb3c2d4-688c-4300-b9cd-a803059ae22f'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/fcb3c2d4-688c-4300-b9cd-a803059ae22f
DOI: 10.7910/dvn/mmjkax
title: PRISMA checklist for review

description: PRISMA Checklist