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SSDn insecticide dataset
This is a dataset of acute toxicity values for organophosphate and carbamate insecticides. the dataset is used to develop and validate the species sensitivity distribution (SSDn) method (see manuscript for details)
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SSDn metal dataset
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The dataset is an excel file that contains meta data, aquatic toxicity data, and summary tables. This dataset is associated with the following publication: Lambert, F., S. Raimondo, and M. Barron. Assessment of a New Approach Method for Grouped Chemical Hazard Estimation: The Toxicity-Normalized Species Sensitivity Distribution (SSDn). ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 56(12): 8278-8289, (2022).
Toxicity of the insecticide imidacloprid and the fungicide propiconazole to the marine barnacle Amphibalanus amphitrite (Arthropoda/Crustacea) (NESP TWQ 3.1.5, AIMS)
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This dataset shows the effects of of the insecticide imidacloprid and the fungicide propiconazole on larval development of the acorn barnacle Amphibalanus amphitrite experiments conducted in 2018 and 2019. The aim of this project was to apply standard ecotoxicology protocols to determine the effects of the insecticide imidacloprid and the fungicide propiconazole on larval development rate of the acorn barnacle Amphibalanus Amphitrite. Larval development bioassays(4-d exposures) were conducted using a fungicide and insecticide that have been detected in the Great Barrier Reef catchment area (O'Brien et al., 2016). These toxicity data will enable improved assessment of the risks posed by pesticides to marine crustaceans for both regulatory purposes and for comparison with other taxa. Methods: Pesticide stock solutions were prepared using PESTANAL (Merck) analytical grade products (purity greater than or equal to 98%): imidacloprid (CAS 138261-41-3) and propiconazole (CAS 60207-90-1). This selection was based on application rates and detection in coastal waters of the GBR (O’Brien et al., 2016; Grant 2017). Pesticide stock solutions (100 – 1,000 mg L-1) were prepared by dissolving aliquots of the pure compounds in ultrapure water using clean, acid-washed (5% nitric acid) glass screw-top containers. Acetone was used to dissolve the imidacloprid and propiconazole (less than or equal to 0.01 % (v/v) in exposure solutions). Stock solutions were stored refrigerated and in the dark. Broodstock barnacles had been grown for several generations in the AIMS-NT aquaria facility (originally sourced from Darwin Harbour – 12°26'57.48"S, 130°51'7.51"E). Broodstock were fed freshly hatched brine shrimp (Artemia salina) and live rotifers daily. Broodstock were spawned as previously described (van Dam et al., 2016) and nauplii collected. Tests were conducted as previously described (van Dam et al., 2016). Nauplii were exposed in a custom-designed experimental test system that allowed for constant movement of the exposure media. The system consisted of a series of silanized glass funnels in which nauplii were exposed to increasing concentrations of imidacloprid or propiconazole and tested against control nauplii. Generally, a total of 24 funnels were used for 7 treatment concentrations and a control group, thus allowing for 3 replicate funnels per treatment. Each treatment vessel contained 100 mL exposure media, 50 newly released stage II nauplii and 1 x 107 cells of rinsed Chaetoceros muelleri. Every 24 h, 1 x 107 cells of rinsed C. muelleri were added to each funnel. After 96 h exposure, funnel contents were drained over a 150 µm nitrile mesh. The mesh was examined under a stereomicroscope and the number of cyprids and settled larvae scored. Quality control criteria (> 70% survival in control group) for test acceptability were met for each test used to derive toxicity estimates. Treatment effects were quantified by the percentage successful transition to cyprid in treatment groups relative to controls. Following prescribed statistical procedures (OECD 2006) the R package DRC (R-project 2015, Ritz & Streibig 2005), was used to model the test data and calculate toxicity estimates. Regression models evaluated included log-logistic and Weibull models of different levels of parametrisation. Model comparisons were conducted using the Akaike Information Criterion (AIC) and models that best described the data were applied to approximate pesticide concentrations eliciting 10 and 50% inhibition of successful transition relative to control animals (EC10 and EC50, respectively). The associated 95% confidence limits were estimated using the delta method. Format: The dataset is summarised in one file named ‘Amphibalanus amphitrite pesticide toxicity data_eAtlas.xlsx’ Data Dictionary: The excel spreadsheet has one tab for each pesticide. The last tab of the dataset shows the measured (start and end of test) water quality (WQ) parameters (pH, salinity, dissolved
Glaberman et al 2019 Chemosphere
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This dataset contains toxicity endpoint and mode-of-action information used in an analysis of comparative toxicity and surrogate data approaches to ecological risk assessment of amphibians. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.
Toxicity of the insecticide imidacloprid to marine larvae of the hermit crab Coenobita variabilis (Arthropoda/Crustacea) (NESP TWQ 3.1.5, AIMS)
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This dataset shows the effects of the insecticide imidacloprid on larval development of the hermit crab Coenobita variabilis. Experiments were conducted in 2017. The aim of this project was to apply a standard ecotoxicology protocol to determine the effects of the insecticide imidacloprid (that has been detected in the Great Barrier Reef catchment area (O'Brien et al., 2016)), on larval development (6-d exposures) of the hermit crab Coenobita variabilis. These toxicity data will enable improved assessment of the risks posed to marine crustaceans for both regulatory purposes and for comparison with other taxa. Methods: Imidacloprid (CAS 138261-41-3) stock solutions were prepared using PESTANAL (Merck) analytical grade product (purity greater than or equal to 99.9%). Stock solutions (100 – 1,000 mg L-1) were prepared by dissolving aliquots of the pure compound in ultrapure water using clean, acid-washed (5% nitric acid) glass screw-top containers. Acetone was used to dissolve the imidacloprid (less than or equal to 0.01 % (v/v) in exposure solutions). Stock solutions were stored refrigerated and in the dark. Tests were conducted as previously described (in van Dam et al, 2018). Broodstock crabs were collected from the Nightcliff seashore (Darwin, Australia – 12°23'8.70"S, 130°50'34.59"E) and maintained in custom-built, flat-bottomed enclosures. Spawning was left to occur naturally and toxicity tests initiated immediately following collection of larvae. Transparent polystyrene cell culture plates (Nunc; Thermo Scientific) were employed as test chambers. Each replicate plate contained six wells with a volume of 13 mL each. Exposures were conducted in a high-precision environmental chamber maintained at 29 ± 1°C, under 80 – 100 µmol quanta m-2s-1 PAR irradiance and a 12h:12h diurnal light:dark cycle. Zoeae were exposed to increasing concentrations of imidacloprid and tested against control (no toxicant) larvae. Zoeae were allocated individually to a well as larvae became cannibalistic once transitioned to megalopae. Five wells within a discrete plate contained analogous treatment solutions. Per test, a total of 18 plates were employed for 5 treatment concentrations and a control group, allowing for 3 replicate plates per treatment. Ten mL of exposure media was added to individual wells before the tests were started by randomly placing a larva from the common pool into each well. Larvae were transferred every 48 h to fresh exposure solutions in clean plates. After 6 d exposure, tests were terminated and individuals scored under a stereo microscope. Quality control criteria (> 70% survival in control group) for test acceptability were met for each test. Treatment effects were quantified by the percentage successful transition to megalopae in treatment groups relative to controls. Following prescribed statistical procedures (OECD, 2006), the R package DRC (R project., 2015, Ritz and Stribig., 2005) was used to model the test data and calculate toxicity estimates. Regression models evaluated included log-logistic and Weibull models of different levels of parametrisation. Model comparisons were conducted using the Akaike Information Criterion (AIC) and models that best described the data were applied to approximate pesticide concentrations eliciting 10 and 50% inhibition of successful transition relative to control animals (EC10 and EC50, respectively). The associated 95% confidence limits were estimated using the delta method. Format: The dataset is summarised in one file named ‘Coenobita variabilis pesticide toxicity data_eAtlas.xlsx’ Data Dictionary: The excel spreadsheet has one tab for each pesticide. The last tab of the dataset shows the measured (start and end of test) water quality (WQ) parameters (pH, salinity, dissolved oxygen (DO), and temperature) for each test. For the ‘Imidacloprid_Development tab: Nominal (µg/L) = nominal herbicide concentrations used in the bioassays Measured (µg/L) = measured concentrations analysed by
Testing Appendices
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These datasets outline the previously published studies, the parameters measured and optimized, and the results of the PEST optimization of SWMM. NOTE: This dataset has been removed from public access due to revocation. Please refer inquiries regarding this dataset to the listed contact person. This dataset is not publicly accessible because: Data removed from dataset due to revocation. Please refer inquiries regarding this dataset to the listed contact person. It can be accessed through the following means: N/A. Format: N/A. This dataset is associated with the following publication: Platz, M., M. Simon, and M. Tryby. Testing of Storm Water Management Model Low Impact Development Modules. JAWRA. American Water Resources Association, Middleburg, VA, USA, 56(2): 283-296, (2020).
Pesticide Toxicity Index (PTI) and maximum Toxic Unit (TUmax) scores and information for fish, cladocerans, and benthic invertebrates from water samples collected at National Water Quality Network sites during Water Years 2013-2017
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During 2013-2017, the U.S. Geological Survey, National Water-Quality Assessment (NAWQA) Project, collected water samples year-round from the National Water Quality Network – Rivers and Streams (NWQN) and reported on 221 pesticides at 72 sites across the US in agricultural, developed, and mixed land use watersheds. Pesticide Toxicity Index (PTI) scores, a screening-level tool that uses an additive, toxic-unit model, were calculated to estimate the potential chronic and acute toxicity to 3 taxonomic groups – fish, cladocerans, and benthic invertebrates. The pesticide that makes the single largest (maximum) contribution to the PTI is called TUmax. This dataset consists of the PTI and TUmax scores, as well as, the TUmax pesticide names, types, and parent/degradate designations for fish, cladocerans, and benthic invertebrates in each sample.
TestingAppendices
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These data sets are time, precipitation, inflow, outflow.and depth for various LID studies.
Exported Chromatograms from the GC/MS analysis of fish and amphibian metabolomes following exposure to six high use pesticides.
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Data collected from the metabolomics analysis (GC/MS) of fish and amphibians following exposure to six high use pesticides. The objective of the study was to assess the applicability of using surrogate species data in ecological risk assessments.
Analyses of water and tissue samples - Evaluating the impacts of pesticides on ESA-listed salmon and their habitats
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Long-running science support for the agency (Office of Protected Resources, others) related to the use of modern pesticides throughout the United States as a limiting factor for endangered species conservation and recovery. This work is currently supporting several national ESA Biological Opinions, and is under review by the National Academy of Sciences. The NAS panel recommendations are expected in the summer of 2013, and these will guide additional research in FY14 and beyond. Analyses of water and tissue samples for pesticides.