Search datasets
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The present study highlights the utility of bioeffects-based monitoring in conjunction with analytical chemical measurements of surface waters on the Colorado River associated with a historically...
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Datasets included in the entry are Results from the US Environmental Protection Agency Sequence Alignment to Predict Across Species Susceptibility (SeqAPASS) tool and from the molecular modeling...
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Fathead minnows (Pimephales promelas) were exposed to 100 ug/L indomethacin, 200 ug/L ibuprofen, or 20 ug/L celecoxib for 96 h. Effects on cycloxygenase enzyme activity in ovary, prostaglandin...
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A collection of R scripts useful for extracting and analyzing adverse outcome pathway network data from the adverse outcome pathway wiki (aopwiki.org). This dataset is associated with the...
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The fathead minnow (Pimephales promelas) is a laboratory model organism widely used in regulatory toxicity testing and ecotoxicology research. Despite, the wealth of toxicological data for this...
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Final Data SeqAPASS v3.0.zip contains datasets from Sequence Alignment to Predict Across Species Susceptibility (SeqAPASS) tool versions 3.0 for all 497 proteins evaluated using Level 1 (primary...
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Predictive models and frameworks for linking inhibition of the enzyme aromatase, as measured in non-animal high throughput screening assays, to adverse effects on reproduction in fish have been...
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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...
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Aromatase inhibition is one of the chemical modes of action of concern to EPA's Endocrine Disruptor Screening Program (EDSP). In vitro bioassays that can detect aromatase inhibition are part of...
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A set of three proposed "hub" key events were used to link together a series of example adverse outcome pathway (AOP) descriptions that were previously not linked in an AOP network. While there...
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Prioritization of chemicals was performed on two Areas of Concerns in the Great Lakes An integrated risk surveillance and monitoring approach was applied Bio-effect prediction methodologies were...
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We examined whether contaminants present in surface waters could be prioritized for further assessment by linking the presence of specific chemicals to gene expression changes in exposed fish....
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Dataset for "Pronschinske, M.A., Corsi, S.R., DeCicco, L.A., Furlong, E.T., Ankley, G.T., Blackwell, B.R., Villeneuve, D.L., Lenaker, P.L. and Nott, M.A. (2022), Prioritizing Pharmaceutical...
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The Maumee River and associated tributaries are an example of a system influenced by a mosaic of contaminant inputs from point and nonpoint sources along a gradient of land uses. To assess the...
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Our ability to conduct whole organism toxicity tests to understand chemical safety has been outpaced by our ability to synthesize new chemicals for a wide variety of commercial applications. ...
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Water-borne contaminants were monitored in 69 tributaries of the Laurentian Great Lakes in 2010 and 2014 using semipermeable membrane devices (SPMDs), and polar organic chemical integrative...
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Data used in the creation of each figure and table cited in Doering et al. (2019; DOI: 10.1021/acs.est.9b02606) are provided. This dataset is associated with the following publication: Doering,...
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Results from Quantitative Interspecies Thermal Shift Assay (QITSA) and molecular docking. This dataset is associated with the following publication: Han, J., J. Fu, J. Sun, D.R. Hall, D. Yang,...
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As a case study, chemical occurrence data from a 2012 study in the Great Lakes Basin along with the ToxCast™ effects database were used to calculate exposure-activity ratios (EARs) as a...
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Toward an AOP Network-based tiered testing strategy for the assessment of thyroid hormone disruption
No novel data were reported in association with this product. This dataset is not publicly accessible because: The associated publication is a review/forum-type article. No novel scientific data...
Search relevance: 1.00 | Views last month: 1 | Catalog Last Checked: September 10, 2026 at 06:56 PM