cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7949945
title: Dataset for the publication 'Enset landrace diversity in major enset growing regions of Southern Ethiopia'

description: Enset (<em>Ensete ventricosum</em> (Welw.) Cheesman) is a major food security crop of the Southern Ethiopian highlands, where it is cultivated on small-holder subsistence farms. Data of survey results through interviews with 375 households is presented, covering 20 communities (kebeles) and eight ethnic groups, along an altitudinal range of 1,500 to 3,000 masl across the main enset-producing belt in Southern Ethiopia. A total of 296 locally named enset landraces were recorded. For each landrace, a number of descriptive traits (as reported by farmers) are available, as is the enset landrace composition of each farm. This data accompanies the publication ‘Blomme G, Kearsley E, Buta S, Chala A, Kebede R, Addis T, Yemataw Z. (2023). Enset landrace diversity in major enset growing regions of Southern Ethiopia. African Crop Science Journal, 31, 279-299’.
DOI: 10.23719/1521080
title: Advancing translational research in environmental science: The role and impact of social science

description: Our dataset are transcripts and codebooks for a focus group study.
DOI: 10.23719/1520947
title: HepRG exposed to microcystin LR and RR gene expression

description: RNA-seq data from HepaRG cells exposed for 2 hours to microcystin-LR and -RR at multiple concentrations each
DOI: 10.23719/1504006
title: Time lags in watershed nitrogen and phosphorus input-output balances:  A forty-four year record of the Willamette River Basin  

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". Published in 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.
DOI: 10.23719/1517662
title: Fish Quality Index

description: The 4 resource surveys (coastal, rivers and streams, lakes and reservoirs, and wetlands) each have datasets covering the biological, chemical, physical habitat, hydrologic and watershed data.
DOI: 10.23719/1519029
title: Priest River Habitat and Regional Context

description: The 4 resource surveys (coastal, rivers and streams, lakes and reservoirs, and wetlands) each have datasets covering the biological, chemical, physical habitat, hydrologic and watershed data.
DOI: 10.23719/1519428
title: Drivers of spatial variation in stream nitrogen concentrations across the US

description: The 4 resource surveys (coastal, rivers and streams, lakes and reservoirs, and wetlands) each have datasets covering the biological, chemical, physical habitat, hydrologic and watershed data.
DOI: 10.23719/1520619
title: Quantitative Assessment of Stream and River Physical Habitat Condition

description: The 4 resource surveys (coastal, rivers and streams, lakes and reservoirs, and wetlands) each have datasets covering the biological, chemical, physical habitat, hydrologic and watershed data.
DOI: 10.23719/1520575
title: PFLA extracellular enzyme activity

description: USDA Data
DOI: 10.23719/1518906
title: Comparison of Approaches for Determining Bioactivity Hits from High-Dimensional Profiling Data

description: *********** Note to Josh Harrill- I don't have a copy of the final manuscript so could you please add the description of this dataset (just delete this comment and enter or cut and paste and then it should be ready to route by clicking on 'Submit for Review' button above) **********
DOI: 10.23719/1519348
title: Derivation of new Threshold of Toxicological Concern values for exposure via inhalation for environmentally-relevant chemicals

description: An effort was made to derive new inhalation TTC values using the EPA’s Toxicity Values database, ToxValDB. A total of 4703 substances captured in ToxValDB were assigned into their respective TTC categories using the Kroes module within the Toxtree software tool and custom profilers developed in Nelms et al (2019) and Patlewicz et al (2018). For the substances assigned into the 3 Cramer classes, the 5th percentiles were calculated from the empirical cumulative distributions of No observed (adverse) effect level (concentration) values. The 5th percentiles were converted to their respective TTC values and compared with published values reported by Escher et al (2010) and Carthew et al (2009). The TTC values derived from ToxValDB were orders of magnitude more conservative, further Cramer classification was not found to be effective at discriminating potencies.
DOI: 10.23719/1521335
title: Genome-wide DNA methylation and controlled diesel exposure

description: This dataset contains genome-wide DNA methylation data from the Illumina EPIC array as well as information on the exposure given (clean air, diesel, or ozone) at each time point. Demographic and anthropomorphic information on the participants in the study is also included within the dataset
DOI: 10.23719/1519023
title: Data contributed by EPA researchers to the manuscript "Estimating US background ozone levels using data fusion"

description: The EPA/ORD/CEMM-contributed dataset consisted of hourly CMAQ output for all model species from a 2017 simulation over the northern hemisphere along a boundary curtain of a 36 km modeling domain specified over the CONUS. The horizontal and vertical extent of the 36 km modeling domain was specified by the external collaborator and was defined by 524 boundary grid cells and 34 vertical layers. The number of output species from the 2017 hemispheric CMAQ simulation was 191 through to September 23, 2017 and 213 starting September 24, 2017.

The EPA/OAR/OAQPS-contributed dataset consistent of hourly gridded CMAQ output for surface ozone concentrations from four model simulations for the year 2016. Two of these simulations were performed over the northern hemisphere at a horizontal resolution of 108 km and the other two simulations were performed over the CONUS at a horizontal resolution of 12 km.
DOI: 10.23719/1522396
title: Adverse Outcome Pathway Database (AOP-DB) version 2

description: The EPA has developed the Adverse Outcome Pathway Database (AOP-DB) to better characterize adverse outcomes of toxicological interest that are relevant to human health and the environment. Since its inception, the AOP-DB has been developed with the aim of integrating AOP molecular target information with other publicly available datasets to facilitate computational analyses of AOP information. A user application for the AOP-DB has been developed for public accessibility. Potential users of the data (Government, Academic, or Industry scientists and researchers) may investigate specific molecular targets of an AOP, the relation of those gene/protein targets to other AOPs, chemical stressor, pathway, or disease-AOP relationships, for example.
DOI: 10.23719/1519370
title: Data contributed by EPA/ORD/CEMM/AESMD to the manuscript The Community Multiscale Air Quality (CMAQ) Model Versions 5.3 and 5.3.1: System Updates and Evaluation

description: Annual CMAQ model output for 2016 for approximately six different simulations.
DOI: 10.23719/1520960
title: US COVID-19 shutdown shows importance of background NO2 in inferring nitrogen oxide (NOx) emissions from satellite NO2 observations (N/A limited co-author role)

description: Data used in this study are: (1) 24 hour averaged surface NO2 data for March-August for 2019 & 2020; (2) a total of about 328 AQS sites that have no data gaps; (3) a trend analysis for a subset of those AQS sites that extends back to 2005; and (4) OMI (2005-2020) and TROPOMI (2018-2020) satellite-based data for NO2 tropospheric columns. Note that OMI and TROPOMI make swath measurements from low Earth sun-synchronous polar orbit (i.e., global coverage each day at approximately 1 PM local standard time).  

For data associated with this paper, please contact the corresponding author Zhen Qu at zhenqu@g.harvard.edu.
DOI: 10.23719/1522405
title: 2007 NLA data; Benthic and landscape predictor variables

description: Data includes information collected during the 2007 NLA Survey.
DOI: 10.23719/1518531
title: Dataset for Figure 1 - Leveling trend of published microRNA biomarker studies in common biofluids.

description: PubMed was searched for the terms microRNA and biomarker in addition to blood (blue), urine (orange), saliva (grey), or cerebrospinal fluid (yellow). The graph in the paper displays the number of total annual publications over the past 16 years and the actual numbers used generate this graph are in incuded in the attached spreadsheet. A near annual doubling of publications occurred from the years 2009 until 2015, whereas only a mere 4% increase in annual publications from 2015 until 2018 was noted. While a number of factors can contribute to these publication trends, this indicates an overall cooling of research interest in biofluid-based microRNA biomarker development.
DOI: 10.23719/1518711
title: Integrating endocrine-related health effects into comparative human toxicity characterization 

description: This is a manuscript developed by a group at University of Berlin and Danish Technical University, using previously published data from EPA. The only EPA interaction has been providing advice on how to correctly use the data.
DOI: 10.23719/1522619
title: The association between SAα2,3Gal occurrence frequency and avian influenza viral load in mallards (Anas platyrhynchos) and blue-winged teals (Spatula discors)

description: The dataset contains the data used to examine how avian influenza infection in mallards and blue-winged teal is associated with the abundance and distribution of different types of sialic acid, the primary influenza receptor in vertebrates. Histochemistry and PCR were used to examine sialic acid and viral titer, respectively.
DOI: 10.5281/zenodo.8246799
title: Data from: River interlinking alters land-atmosphere feedback and changes the Indian summer monsoon.

description: The dataset contains post-processed output from two experiments performed for Indian Summer Monsoon (June-September) from 1991-2012 using WRF-CLM4: CTL and IRR. Here, CTL represents WRF-CLM4 simulation with irrigation currently practiced in India. We use a modified irrigation module in CLM4 that better represents the Indian practices of irrigation by incorporating groundwater withdrawal and flood irrigation practiced over paddy fields. The module can be found at https://github.com/IMMM-SFA/WRF_CLM4_Irrigation and https://doi.org/10.1029/2019GL083875. IRR simulation adds additional irrigation to CTL by increasing the percentage of irrigated area to 80% in regions where India's river-interlinking projects target an increase in the culturable command area. The post-processed output contains the following variables: Mean Daily Temperature Daily Maximum Temperature Latent Heat Flux Sensible Heat Flux Relative Humidity U-Wind at Pressure levels V-Wind at Pressure levels Net-Solar Radiation on Land Soil Moisture Irrigation input files for CTL and IRR simulations of WRF-CLM4 are also included.
DOI: 10.5281/zenodo.8246798
title: Data from: River interlinking alters land-atmosphere feedback and changes the Indian summer monsoon.

description: The dataset contains post-processed output from two experiments performed for Indian Summer Monsoon (June-September) from 1991-2012 using WRF-CLM4: CTL and IRR. Here, CTL represents WRF-CLM4 simulation with irrigation currently practiced in India. We use a modified irrigation module in CLM4 that better represents the Indian practices of irrigation by incorporating groundwater withdrawal and flood irrigation practiced over paddy fields. The module can be found at https://github.com/IMMM-SFA/WRF_CLM4_Irrigation and https://doi.org/10.1029/2019GL083875. IRR simulation adds additional irrigation to CTL by increasing the percentage of irrigated area to 80% in regions where India's river-interlinking projects target an increase in the culturable command area. The post-processed output contains the following variables: Mean Daily Temperature Daily Maximum Temperature Latent Heat Flux Sensible Heat Flux Relative Humidity U-Wind at Pressure levels V-Wind at Pressure levels Net-Solar Radiation on Land Soil Moisture Irrigation input files for CTL and IRR simulations of WRF-CLM4 are also included.
DOI: 10.23719/1522623
title: Occurrence of contaminants of emerging concern in aquatic ecosystems utilized by Minnesota tribal communities

description: The data include sample location information as well as chemical concentration data in water, sediment, and fish tissue.
DOI: 10.23719/1522622
title: Evaluation of Neurobehavioral Abnormalities and Immunotoxicity in Response to Oral Imidacloprid Exposure in Domestic Chickens (Gallus gallus domesticus)

description: These data are a result of an experiment to examine the effect of imidacloprid on chicken immunity and behavior. There are therefore several sets of physiological data.
DOI: 10.23719/1520129
title: GHS City3 2014-2015

description: Data that describes the effects of pesticide usage on children's health.
DOI: 10.23719/1520958
title: Evaluation of Existing QSAR Models and Structural Alerts and Development of New Ensemble Models for Genotoxicity Using a Newly Compiled Experimental Dataset 

description: In this study, a major effort was undertaken to compile a large genotoxicity dataset (54,805 records for 9299 substances) from several public sources (e.g., TOXNET, COSMOS, eChemPortal). The names and outcomes of the different assays were harmonized, and assays were annotated by type: gene mutation in Salmonella bacteria (Ames assay) and chromosome mutation (clastogenicity) in vitro or in vivo (chromosome aberration, micronucleus, and mouse lymphoma Tk+/- assays). This dataset was then evaluated to assess genotoxic potential using a categorization scheme, whereby a substance was considered genotoxic if it was positive in at least one Ames or clastogen study. The categorization dataset comprised 8442 chemicals, of which 2728 chemicals were genotoxic, 5585 were not and 129 were inconclusive. QSAR models (TEST and VEGA) and the OECD Toolbox structural alerts/profilers (e.g., OASIS DNA alerts for Ames and chromosomal aberrations) were used to make in silico predictions of genotoxicity potential. The performance of the individual QSAR tools and structural alerts resulted in balanced accuracies of 57-73%. A Naïve Bayes consensus model was developed using combinations of QSAR models and structural alert predictions. The ‘best’ consensus model selected had a balanced accuracy of 81.2%, a sensitivity of 87.24% and a specificity of 75.20%. This in silico scheme offers promise as a first step in ranking thousands of substances as part of a prioritization approach for genotoxicity.
DOI: 10.23719/1520905
title: Evaluation of the offline-coupled GFSv15-FV3-CMAQv5.0.2 in support of the next-generation National Air Quality Forecast Capability over the contiguous United States

description: No dataset is directly uploaded to ScienceHub. The data are permanently available from the corresponding author.
DOI: 10.23719/1518559
title: Google Street View Air Quality Data: Oakland CA NO2 2015-2016 

description: One-second NO2 data were collected via routine mobile monitoring
in Oakland, California as part of an on-going multiinstitutional
collaboration between the Environmental Defense
Fund, University of Texas at Austin, and Google, among others.
Details of the sampling protocol are available in Apte et al.
DOI: 10.23719/1518708
title: A Roadmap to the Structure-Related Metabolism Pathways of Per- and Polyfluoroalkyl Substances in Early Life Stages of Zebrafish (Danio rerio)

description: Our findings identified five structural categories of PFAS prone to metabolism. The metabolism pathways of PFAS are highly related to their structures and significantly impact their bioaccumulations and toxicities. We also verified CES1 as an enzyme capable of hydrolyzing diverse PFAS, with strong substrate preferences towards perfluoroalkyl amides.
DOI: 10.23719/1522922
title: Web-ICE acute toxicity data

description: Database of acute toxicity data used to develop ICE models.
DOI: 10.57967/hf/0986
title: m2sodai
DOI: 10.23719/1522672
title: Atmospheric Nitrogen Deposition in the Chesapeake Bay Watershed: A History of Change

description: USGS generated Estimates of atmospheric inorganic nitrogen deposition to the Chesapeake Bay watershed, 1950-2050
DOI: 10.23719/1520496
title: Lead Service Line Identification Review

description: This is a literature review paper that did not generate any new data.
DOI: 10.23719/1523024
title: Metadata statement for Gustin et al. 2020

description: This publication is an introductory/summary paper to a virtual special issue of the journal Science of the Total Environment titled: Advances in Mercury Research--Reviews of Recent Advances in Mercury Research and Understanding the Biogeochemical Cycle. 

The special issue contained 11 Research Articles that focused on different aspects of mercury cycling.  All these papers were “review papers” and relied on synthesizing conclusions from existing published research and did not involve any direct data collection.  

The Gustin et al, 2020 paper (which is associated with this Metadata Statement) provides an introduction to the journal’s special issue and briefly summarizes the primary conclusions from the other 11 papers. Therefore, there are not any datasets associated with this publication.
DOI: 10.23719/1522894
title: Lake Michigan Ozone Study Data Sets

description: This EPA SH entry contains the link to the public archive for all datasets collected by EPA and collaborators for the Lake Michigan Ozone Study conducted in 2017.   The archive resides at NASA Langley Research Center.   EPA-ORD data sets can be found by clicking on the individual site tabs on the main LMOS archive webpage and EPA-ORD will be listed at the PI.
DOI: 10.23719/1522951
title: NaKnowBase-SQL backend-080121

description: Engineered nanomaterials (generally defined as being 1-100 nm is size) take on unique activities due to their small size, reactivity, and high surface area to mass ratio.  While these properties can be highly desirable for the intended function of the materials and the products produced from them, they may also cause undesirable activity in environmental or biological systems.  EPA program offices, faced with applications for novel engineered nanomaterials, need access to relevant data to help predict potential environmental/biological interactions of nanomaterials based on their physio-chemical properties and the intended uses of novel materials.  We have developed a relational database containing the results from the Office of Research and Development (ORD) regarding the actions of engineered nanomaterials in environmental and biological systems.   The database captures the chemical and physical parameters of the materials tested, the assays in which they were tested, and the measured results.  The database is designed to enable selective searches of nanomaterials based on physical/chemical parameters such as composition, size, coatings, etc, the system in which they were tested, and the quantitative results obtained.  For example, a user would be able to access information on materials of similar composition, size range, reactivity, or other properties measured, and see what results were observed. For example, users can implement observed results for modeling and prediction for similar nanomaterials using quantitative structure activity relationships and other sophisticated modeling approaches.
DOI: 10.23719/1522616
title: The Chesapeake Bay Program Modelling System: Overview and Recommendations for Future Development

description: This manuscript is an overview of the Chesapeake Bay Modeling system and uses public datasets from Phase 6 of the Chesapeake Bay model (https://www.chesapeakebay.net/what/publications_and_data) and data from previously published manuscripts, detailed within the citations of the manuscript.
DOI: 10.23719/1518926
title: Stormwater Input File

description: SWMM 5.0 input file
DOI: 10.23719/1522441
title: Metadata for "Predicting the Nonlinear Response of PM2.5 and Ozone to Precursor Emission Changes with a Response Surface Model"

description: The data for this project include fields that are output from the numerous CMAQ simulations used to build the RSM.
DOI: 10.26179/81m9-g639
title: Modification of the type of dietary fat at an Antarctic station: impact on cardiovascular risk factors
DOI: 10.23719/1522593
title: Bioturbation frequency

description: Bioturbation frequency
DOI: 10.23719/1522869
title: Hunting the eagle killer: A cyanobacterial neurotoxin causes vacuolar myelinopathy

description: H. verticillata samples collected from numerous watersheds from 2014 to 2020 were screened for the presence of A. hydrillicola. After isolation of A. hydrillicola from environmental samples and adaptation to laboratory conditions, the cyanobacterium was cultivated in BG11 medium with or without the addition of potassium bromide. H. verticillata leaves colonized with A. hydrillicola were analyzed using fluorescence microscopy as well as AP-MALDI-MSI (9-AA as matrix in negative-ionization mode; lateral resolution, 10 μm). Environmental bromide and bromine concentrations in H. verticillata, sediment, and water samples were analyzed by x-ray fluorescence spectroscopy and ion chromatography. The structure of AETX was elucidated by NMR spectroscopy, high-resolution tandem mass spectrometry, infrared spectroscopy, and x-ray crystallography after isolation of the compound using flash chromatography, semipreparative HPLC, and recrystallization. The genome of A. hydrillicola was amplified from single filaments using multiple displacement amplification and then sequenced using the Illumina MiSeq platform. The putative AETX biosynthetic gene cluster was identified by BLASTp searches for bacterial halogenases against the A. hydrillicola genome. The halogenase AetF was heterologously expressed in E. coli and then purified. Biochemical assays to characterize its activity used tryptophans and indoles as substrates. Reaction products were structurally characterized by HPLC-MS and NMR spectroscopy. A. hydrillicola–H. verticillata extract fractions and pure AETX were tested for activity on C. dubia, D. rerio, C. elegans, and G. gallus. Bioassays on D. rerio and G. gallus were performed in accordance with the National Insitutes of Health Guide for the Care and Use of Laboratory Animals and followed protocol A2017 11-007-Y1-A0, which was reviewed, approved, and overseen by the University of Georgia Institutional Animal Care and Use Committee. VM occurrence in treated birds was confirmed by analysis of the white matter of their optic lobe using light microscopy and transmission electron microscopy. Tissues of deceased wild birds were extracted and analyzed for AETX by HPLC-MS. A full description of the materials and methods used in this study is provided in the supplementary materials.
DOI: 10.23719/1519055
title: KC-TRAQS data fusion

description: Data collected during the Kansas City Transportation and Local-Scale Air Quality Study (KC-TRAQS)
DOI: 10.23719/1520574
title: Soil microbial indicators of soil amendments

description: soil microbial populations and enzyme assays that show responses of the soil microbial community to soil amendments
DOI: 10.23719/1522408
title: Perinatal high-fat diet influences ozone-induced responses on pulmonary oxidant status and the molecular control of mitophagy in female rat offspring

description: The data belongs to Maastricht University