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Jason P. Berninger

Researcher at United States Geological Survey

Publications -  35
Citations -  2293

Jason P. Berninger is an academic researcher from United States Geological Survey. The author has contributed to research in topics: Environmental exposure & Oil dispersants. The author has an hindex of 20, co-authored 33 publications receiving 1925 citations. Previous affiliations of Jason P. Berninger include Baylor University & United States Environmental Protection Agency.

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Hazard/Risk Assessment AN INITIAL PROBABILISTIC HAZARD ASSESSMENT OF OIL DISPERSANTS APPROVED BY THE UNITED STATES NATIONAL CONTINGENCY PLAN

TL;DR: The utility of CTDs as a means to evaluate the comparative ecotoxicity of dispersants alone and in mixture with different oil types is demonstrated and the approaches presented here provide valuable tools for prioritizing prospective and retrospective environmental assessments of oil dispersants.
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An initial probabilistic hazard assessment of oil dispersants approved by the United States National Contingency Plan.

TL;DR: In this article, the authors applied the Chemical Toxicity Distributions (CTD) approach to two acute toxicity datasets: NCP (the contingency plan dataset) and DHOS (a subset of NCP listed dispersants reevaluated subsequent to the Deepwater Horizon oil spill).
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Comparative Pharmacology and Toxicology of Pharmaceuticals in the Environment: Diphenhydramine Protection of Diazinon Toxicity in Danio rerio but Not Daphnia magna

TL;DR: Though the primary hypothesis was not confirmed, DPH conferred a protective effect for acute DZN toxicity to zebrafish when DPH plasma levels were expected to be greater than mammalian therapeutic, but lower than acutely lethal, internal doses.
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An inexpensive, temporally integrated system for monitoring occurrence and biological effects of aquatic contaminants in the field

TL;DR: The present study describes methodological details of the design, construction, and deployment of a flexible yet comparatively inexpensive caged-fish/autosampler system that has excellent potential for integrated chemical-biological monitoring of contaminants in a variety of field settings.