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This Benthic Invertebrate Community Analysis dataset, a conceptual subgroup of the Lake Erie Ecological Investigations (LEEI) dataset, focuses on the benthic invertebrates sampled at Areas of Concern (AOCs) on Lake Erie. Per the Quality Assurance Project Plan (QAPP), the invertebrate samples were taken from sediments remaining from the sediment analysis. Identification of the invertebrates was completed by the same invertebrate taxonomist for both the 1998-2000 evaluation and 1986-87 historical evaluation (Smith et al. 1994) for increased consistency. Oligochaetes were identified to species if possible, chironomids were identified to genus, as adult specimens are needed for specific identification, and other taxa...
Categories: Data; Tags: AOCs, Ameiurus nebulosus, Ashtabula, Ashtabula River, Black River, All tags...
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This dataset describes the quantity, morphology, concentration and polymer identity of microplastics in surficial benthic sediment of Lake Michigan and Lake Erie. Lake Michigan sediment samples were collected at 20 locations in September, 2013 and Lake Erie sediment samples were collected at 12 locations in September, 2014 while on-board the R.V. Lake Guardian. Sampling and analysis methods are described in the Processing Steps section of the metadata.
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Fish tissue from 203 samples collected at five locations in the Niagara River Area of Concern in 2018 were analyzed for a wide range of analytes including Polychlorinated Biphenyls (PCBs), pesticides (E1 and E2), polycyclic aromatic hydrocarbons (PAH), organochlorine and other persistent organic compounds, metals, lipid and moisture. Over 230 analytes were analyzed in the tissue samples, including 160 PCB congeners. Fish tissues from a subset of the sites (n=40) were also analyzed for Dioxins and Furans. The data set includes a variety of laboratory quality assurance data including sample replicates, laboratory blank data, laboratory spike data, matrix spike recoveries, and replicate matrix spike recoveries.
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These data represent a one-time synoptic survey of sampled soils, pavement dust, and stream sediment in 10 urban watersheds in three regions of the United States (Pacific Northwest, northeast, and southeast) to evaluate sources of sediment and two groups of common urban contaminants: polycyclic aromatic hydrocarbons (PAHs) and metals. Analyses of samples from six of the watersheds included fallout radionuclides to facilitate identification of sediment sources to the streams. Scripts used in R to test selected explanatory variables for the urban contaminants using Generalize Additive Models (GAMs) are included. The data release also includes Geographic Information System (GIS) spatial layers that were developed for...
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This metadata record contains 6 tables used to assess sources of Polychlorinated Biphenyls (PCB) in the Back River watershed, Baltimore City, Maryland. Included in the dataset are PCB concentrations of surface water and porewater passive samplers from Herring Run, Moores Run, tidal Back River, and Back River Wastewater Treatment Plant; PCB concentrations of bed sediments and other solids, Fat, Oil, and Grease (FOG) samples, and road sediments; dissolved organic carbon (DOC), total suspended solids (TSS), and particulate organic carbon (POC) concentrations of grab samples; and PCB concentrations of passive samplers from pump stations collected in 2018-2020.
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This dataset includes pesticides and pesticide transformation products in 15 tributaries of the Great Lakes. Pesticides were monitored using polar organic chemical integrative samplers (POCIS) to estimate concentrations in water following standard protocols (Alvarez, 2010) in June and July 2016. POCIS extracts were analyzed for 225 chemicals (USGS National Water Quality Laboratory schedule 5437, Sandstrom and others, 2016), for which 129 chemicals also have POCIS uptake rates, allowing calculations of time-weighted mean concentration over the approximately 30 day deployment (Alvarez and others, 2008). Collectively, there were 97 chemicals detected, and time-weighted mean concentrations could be calculated for 95...
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This metadata record contains 15 tables with results from field and laboratory tests used to assess bioremediation in wetland areas at the Standard Chlorine of Delaware, Inc. Superfund site, New Castle County, Delaware, during 2019-2021. Included in the dataset are (1) polychlorinated biphenyl (PCB) concentrations in wetland sediment from sediment microcosm laboratory experiments, (2) chlorobenzene concentrations in wetland sediment from sediment microcosm laboratory experiments, (3) polychlorinated biphenyl concentrations from PCB microcosm laboratory experiments using polyethylene strips, (4) chlorobenzene concentrations from PCB microcosm laboratory experiments using polyethylene strips, (5) total iron and ferrous...
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This dataset describes the quantity, morphology, and polymer identity of microplastics in the water column and surficial sediments of Milwaukee-Area streams, the Milwaukee Harbor, and Lake Michigan (Wisconsin). Water samples were collected at 10 locations, 2-4 times each, from May to September, 2016. At the 4 shallowest locations, water was collected only at the water surface. At the remaining 6 locations, water was collected at the water surface and at 1-4 depths below the surface. Sediment samples were collected once, in June 2016, at a subset of 9 locations. Sampling and analysis methods are described in the Processing Steps section of the metadata. These data are interpreted in the following journal article:...
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Samples were submitted for contract laboratory analysis as part of a study examining the occurrence of chromium and natural and anthropogenic hexavalent Chromium, Cr(VI) in groundwater. Data will be used to estimate naturally-occurring background Cr(VI) concentrations upgradient, near the plume margins, and downgradient from a mapped Cr(VI) contamination plume near Hinkley, CA (Izbicki and Groover, 2016). These Contract Lab results are part of the data release including grain-size distribution, photographic and associated chemical and mineral analysis data for 36 sediment core and alluvium samples as well as Scanning Electron Microscopy analysis on select grains from magnetic and heavy mineral separates collected...
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These data sets present results from the analyses of groundwater samples collected from monitoring wells and monitoring intervals in bedrock wells in the mudstone aquifer underlying the former Naval Air Warfare Center (NAWC), West Trenton, NJ. The water samples were collected between 2008 and 2013 and were analyzed for field parameters, inorganic and organic constituents, and the abundances of selected microbes of importance to the evaluation of biological degradation of organic contaminants in groundwater. The collection and analyses of the groundwater samples coincides with conducting a bioaugmentation experiment in a targeted region of the mudstone aquifer. The purpose of the bioaugmentation was to introduce...
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Coastal communities are uniquely vulnerable to sea-level rise (SLR) and severe storms such as hurricanes. These events enhance the dispersion and concentration of natural and anthropogenic chemicals and pathogenic microorganisms that could adversely affect the health and resilience of coastal communities and ecosystems in coming years. The U.S. Geo­logical Survey has developed the Sediment-Bound Contaminant Resiliency and Response (SCoRR) strategy to define baseline and post-event sediment-bound environmental health (EH) stressors. These data document toxicity measured by reduction of the light emission of Aliivibrio (formerly Photobacterium) fischeri and the inhibition of polymerase chain reactions caused by environmental...
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These data contain concentrations of tetrachloroethylene in shallow groundwater samples collected in 2015 by the U.S. Environmental Protection Agency (EPA). These data are a subset of all the groundwater at the site. Samples were collected using direct-push technology. Only samples collected within the study area on 1 of the 10 sampling periods discussed in the journal article are included in this data set. In order to protect personally identifiable information (PII), all data collected by the U.S. Environmental Protection Agency do not contain spatial information. Please contact the U.S. Environmental Protection Agency for permission and access to spatial information for these samples. These data support...
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Irrigation runoff and soil samples were collected from a lettuce field located at the USDA-ARS Spence Research farm in the Salinas Valley, California to measure neonicotinoid insecticides (clothianidin and imidacloprid) and a fungicide (azoxystrobin) applied via coated seed and drench treatments. The field trial was designed to evaluate four treatments with replication: 1) control, untreated seed, 2) imidacloprid treated seed, 3) clothianidin treated seed, and 4) azoxystrobin treated seed with an imidacloprid drench. Samples were collected from each treatment over two lettuce growing seasons: August to October 2019 and September to October 2020. Runoff samples were collected over both growing seasons during 6 irrigation...
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Annual summaries of mineral extraction and exploration activities in Idaho and factors impacting these activities. Published and unpublished content. In 1975 Idaho Geological Survey, then named Idaho Bureau of Mines and Geology, began compiling annual summaries for use by U.S. Bureau of Mines and U.S. Geological Survey annual reports after dissolution of the office of the Idaho State Inspector of Mines in 1974. These state data resources are generally more rich in content and context than federal summaries. As part of an ongoing project funded in part by U.S. Geological Survey and Idaho Department of Lands, data from these documents are being geo-related within the Idaho Geological Survey's Database of Mines and...
Clean water is important for a variety of uses, including drinking, recreation, and as habitat for aquatic species. Nonpoint-source pollution, such as nutrients, sediment, and pesticides from agricultural runoff, is a major cause of impaired water quality in the United States . Vegetation and soil in natural land cover help to remove pollutants from runoff water before it reaches streams and other waterways by slowing water flow and physically trapping sediment. To assess the spatial distribution of water purification potential in the southeastern United States, we mapped the demand for purification as the total area of agricultural land.
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Data consist of flow cytometry files that were generated in the analysis of white blood cells from kestrel blood. Thus, data are in standard format that allows files created by one type of acquisition hardware and software to be analyzed by any other type.
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This dataset summarizes impairment status for HUC12 watersheds at the CONUS scale using the EPA publicly available Assessment, Total Maximum Daily Load (TMDL) Tracking and Implementation System (ATTAINS) geospatial package and the USGS Watershed Boundary Dataset (WBD). ATTAINS is an online system maintained by the EPA containing information about the condition of the Nation’s surface waters, as reported by individual states. These data were downloaded in October 2023 and primarily reflect 2022 stream conditions. Because of the varying data types that exist in the database, an independent methodology was developed for summarizing impairment status for HUC12 watersheds using the USGS WBD as detailed in this metadata...
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Splits of samples were prepared of heavy mineral separates and bulk separates less than 2mm for analysis using X-ray diffraction (XRD) and results were interpreted to identify mineral components as part of a study examining the occurrence of chromium and natural and anthropogenic hexavalent Chromium, Cr(VI), in groundwater. Data will be used to estimate naturally-occurring background Cr(VI) concentrations upgradient, near the plume margins, and downgradient from a mapped Cr(VI) contamination plume near Hinkley, CA (Izbicki and Groover, 2016). These XRD results are part of a data release including grain size distribution, photographic, and associated chemical and mineral analysis data for 36 sediment core and alluvium...