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The U.S. Geological Survey in cooperation with the New York State Department of Environmental Conservation, the Tug Hill Commission, the Jefferson County Soil and Water Conservation District, the Oswego County Soil and Water Conservation District, and the Tug Hill Land Trust studied the northern and central parts of the Tug Hill glacial aquifer to help communities make sound decisions about the groundwater resource. This child item dataset contains locations of water level contours for the northern and central parts of the Tug Hill aquifer.
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From April through September of 2018, water-quality data were collected at 35 locations from select tributaries, embayments, and nearshore lake locations along New York's portion of Lake Ontario in support of the 2018 Cooperative Science and Monitoring Initiative, the Great Lakes Restoration Initiative, and the Lakewide Action Management Plan. These data include environmental, replicate, and blank samples of nutrients, suspended solids, sodium, and chloride, as well as field measurements of physical parameters (temperature, specific conductance, dissolved oxygen, pH, turbidity, phycocyanin relative fluorescence, chlorophyll relative fluorescence, photosynthetically active radiation, and phycocyanin:cholorphyll...
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These data represent mercury (Hg), filtered total Hg (FTHg), filtered methylmercury (FMHg), particulate total Hg (PTHg), particulate methylmercury (PMHg), total mercury (THg), dissolved organic carbon (DOC) and total organic carbon (TOC) concentrations in surface water samples collected on Bad River Tribal lands. Several samples were collected at multiple locations on the Bad River and Tyler Forks Creek, and one location on Bull Gus Creek. Additionally, one sample was collected at each of four unknown locations on four Bad River tributaries and two samples at a lake of unknown location. All samples were collected during 2006 to 2016. Neither the collection of water samples nor the Hg analyses were performed by the...
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The U.S. Geological Survey (USGS) is providing a polygon feature class delineating the extent of Glacial Lake Great Bend within the Binghamton East 1:24,000 quadrangle of south-central Broome County, New York, 2020. The shapefile was created and intended for use with geographic information system (GIS) software. A companion report, USGS Scientific Investigations Report 2021-5026 (Van Hoesen and others, 2021; https://doi.org/10.3133/sir20215026) further describes data collection and map preparation.
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The U.S. Geological Survey (USGS) is providing a polygon feature class containing the approximate locations and confining units of the unconfined and confined aquifers within the Binghamton East 1:24,000 quadrangle of south-central Broome County, New York, 2020. The shapefile was created and intended for use with geographic information system (GIS) software. A companion report, USGS Scientific Investigations Report 2021-5026 (Van Hoesen and others, 2021; https://doi.org/10.3133/sir20215026) further describes data collection and map preparation.
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Measures used to assess trends in the 10th, 50th, and 90th quantiles of annual peak streamflow from 1916-2015 at 2,683 U.S. Geological Survey stations and within 191 4-digit HUCs in the conterminous United States. Linear quantile regression was applied to the selected quantiles of log-transformed annual peak streamflow to represent trends for a range of flood frequencies from small, common floods to large, infrequent floods. Comparative trends in pairs of quantiles were characterized as coherent, convergent, or divergent by comparing the slopes of linear quantile regression equations.
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In cooperation with the South Carolina Department of Transportation (SCDOT), the U.S. Geological Survey prepared geospatial layers illustrating the boundaries of the regions used in the South Carolina (SC) Stream Hydrograph Methods presented in Bohman (1990,1992). The region limits were described in written text and depicted in figures in Bohman (1990, 1992), but have not been provided as geospatial layers (due to the age of the original publications). This project used best-available geospatial data from the U.S. Environmental Protection Agency (USEPA) ecoregions (2013) to create equivalent geospatial representations of the Bohman (1990, 1992) region boundaries for the SC Stream Hydrograph Methods. These layers...
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This data release contains relevant datasets used in the analysis for the Chesapeake Bay stressor identification project, for which results are described in Fanelli and others (2022). For this project, two existing information sources were compiled and summarized to identify key in-stream stressors reported by the scientific literature or through regulatory assessments to be likely affecting benthic macroinvertebrate community metrics in the Chesapeake Bay region: 1) the peer reviewed multi-stressor literature, in which the effects multiple in-stream stressors on benthic macroinvertebrate community metrics are simultaneously assessed; and 2) reported causes of biological impairment as listed by state or district...
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This child item dataset contains a shapefile of labels for hydrogeologic sections illustrated in Heisig, 2023 (figure 3, plate 1). The "Sec_ID" attribute lists letter-number designations for the ends of each section. Hydrogeologic section labels are in the format x - x'. By convention, the x is on the west side and the x' is on the east side of generally horizontal sections. In generally vertical sections, the x is the westernmost of the section ends and the x' is the eastermost end of the section line.
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Freshwater salinization is an emerging issue for freshwater environments in the Chesapeake Bay, USA region. Salinization is often described by measurements of specific conductance (SC). This data release contains specific conductance observations collected by multiple regional agencies for streams within the Chesapeake Bay Watershed. This inventory compiles and harmonizes data from the Water Quality Portal (WQP), which is a data repository developed by the National Water Quality Monitoring Council and supported by the U.S. Environmental Protection Agency and U.S. Geological Survey, and the U.S. Geological Survey National Water Information System (NWIS). Both discrete measures of SC, which are single measures taken...
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These data are bathymetry (river bottom elevation) in XYZ format, generated from the April 4-5, 2017, bathymetric survey of the Rolling Fork and Beech Fork near Boston, Kentucky. The bathymetry was collected from approximately 1.9 miles upstream from Kentucky State Highway 62 on the Beech Fork and approximately 1.5 miles upstream from Kentucky State Highway 62 on the Rolling Fork, to 2.6 miles downstream from Kentucky State Highway 62 on the Rolling Fork. Hydrographic data were collected using an acoustic Doppler current profiler (ADCP) with integrated Differential Global Positioning System (DGPS). Data were collected as the surveying vessel traversed the river, approximately perpendicular to the velocity vectors...
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These data were compiled to accompany flow modeling work on Little Colorado river above the mouth (USGS gage 09402300). The data include example models in FaSTMECH and SToRM solvers in the iRIC framework, topographic data collected by LiDAR and total station in June 2017, and high water marks from nine historic floods. Other data also include location and other information for control points and gage structures. Topographic data include ground topography collected by LiDAR and channel bathymetry collected by total station survey of a 2500 meter reach of the Little Colorado River ending near the confluence with the Colorado River. High water mark data were collected by USGS personnel using total station surveys and...
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These data depict the National Hydrography Dataset Plus Version 2.1 (NHDPlusV2.1) flowline representation of the National Wild and Scenic Rivers System throughout the conterminous United States as of 2018. U.S. Forest Service geospatial data on National Wild and Scenic River segments (USFS WSR Segment) from 3/1/2016 were joined to the NHDPlusV2.1 to create the Wild and Scenic Rivers 2018 Linked to the NHDPlusV2.1 (wsr_nhdpv2.1) data. To ensure these data correctly represented the NHDPlusV2.1 flowline delineation of the National Wild and Scenic Rivers System, each wsr_nhdpv2.1 river segment was examined against the USFS WSR Segment data to check for duplication and/or omission of Wild and Scenic River segments. Spatial...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Alabama, Arizona, Arkansas, California, Colorado, All tags...
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State and local county health departments have detected per- and polyfluoroalkyl substances (PFAS) in groundwater downgradient of airports and military and firefighting training areas in Long Island, New York. However, the occurrence and spatial distribution of PFAS throughout the surficial aquifer is not well established. Shallow groundwater samples were collected in 2018 from two observation well networks; the Sentinel network and Wastewater Treatment Plant groundwater (WTPGW) network. The Sentinel network is an island-wide group of wells screened within the shallow upper glacial (surficial, <100 feet deep) aquifer, which were sampled to assess the occurrence of PFAS in different land-use settings. The WTPGW network...
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Annual litterfall samples were collected and analyzed for THg (total mercury) and MHg (methyl mercury) at a site (WI95) on Bad River tribal lands during 2012 to 2018. Litterfall was collected at a second site, WI01, during 2012 only. Litterfall was sampled in eight collectors, from which annual mass was determined. Total mercury analyses were performed on only four samples from the collectors with the lowest numbers in the sequence. A mass weighted sample based on the four THg samples was analyzed for MHg. Neither the collection of litterfall samples nor the Hg analyses were performed by the U.S. Geological Survey, New York Water Science Center.
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This dataset has been archived; it has been superseded by version 1.1 (December 2022) which can be found at https://doi.org/10.5066/P9KODN4C. This U.S. Geological Survey data release provides surface-water quality, streamflow, and groundwater-elevation data collected within the Central Pine Barrens (CPB) Region of Suffolk County, New York. The data were collected in cooperation with the Central Pine Barrens Commission and the Town of Brookhaven as part of a five-year comprehensive water-resources monitoring program. Water quality and quality-assurance data from seven sites on two rivers (Carmans River- 5 sites and Peconic River - 2 sites) in the CPB are included. Carmans River sites were sampled four times throughout...
map background search result map search result map Bathymetry on the Rolling Fork and Beech Fork near Boston, Kentucky, April 4-5, 2017 Trends in annual peak streamflow quantiles for 2,683 U.S. Geological Survey streamgages in the conterminous United States Occurrence of per- and polyfluoroalkyl substances, Long Island and New York City, New York Mercury Concentrations in Surface Waters, Bad River Watershed, Wisconsin, 2006-2016 Wild and Scenic Rivers 2018 Linked to the NHDPlusV2.1 Mercury Concentrations in Litterfall, Bad River Watershed, Wisconsin, 2012-2018 Lake Ontario Nearshore Nutrient Study (LONNS), 2018, Lake Ontario, New York Topographic data, historical peak-stage data, and 2D flow models for the lowermost Little Colorado River, Arizona, USA, 2017 2019 Hydrologic Data Summary for the Central Pine Barrens Region, Suffolk County, New York Glacial Lake Great Bend within the Susquehanna River Valley in South-Central Broome County, Towns of Conklin and Kirkwood, New York Aquifer Boundaries within the Susquehanna River Valley in South-Central Broome County, Towns of Conklin and Kirkwood Bedrock elevation contours beneath main valleys in the Oneonta area, Otsego and Delaware Counties, New York Inferred dead-ice sink locations in the Oneonta area, Otsego and Delaware Counties, New York Oneonta study area, Otsego and Delaware Counties, New York Tug Hill Glacial Aquifer Water Level Contours Literature review results and regulatory summaries of freshwater stressors influencing biological impairment in the Chesapeake Bay watershed, USA Region Layers for USGS South Carolina Bohman Method Hydrograph in StreamStats Compilation of multi-agency specific conductance observations for streams within the Chesapeake Bay watershed Hydrogeologic Section Line Labels in the Owasco Inlet Watershed, Cayuga and Tompkins Counties, New York Surficial Geology the Owasco Inlet Watershed, Cayuga and Tompkins Counties, New York Topographic data, historical peak-stage data, and 2D flow models for the lowermost Little Colorado River, Arizona, USA, 2017 Bathymetry on the Rolling Fork and Beech Fork near Boston, Kentucky, April 4-5, 2017 Bedrock elevation contours beneath main valleys in the Oneonta area, Otsego and Delaware Counties, New York Inferred dead-ice sink locations in the Oneonta area, Otsego and Delaware Counties, New York Oneonta study area, Otsego and Delaware Counties, New York Hydrogeologic Section Line Labels in the Owasco Inlet Watershed, Cayuga and Tompkins Counties, New York Surficial Geology the Owasco Inlet Watershed, Cayuga and Tompkins Counties, New York Mercury Concentrations in Litterfall, Bad River Watershed, Wisconsin, 2012-2018 Mercury Concentrations in Surface Waters, Bad River Watershed, Wisconsin, 2006-2016 2019 Hydrologic Data Summary for the Central Pine Barrens Region, Suffolk County, New York Occurrence of per- and polyfluoroalkyl substances, Long Island and New York City, New York Lake Ontario Nearshore Nutrient Study (LONNS), 2018, Lake Ontario, New York Region Layers for USGS South Carolina Bohman Method Hydrograph in StreamStats Literature review results and regulatory summaries of freshwater stressors influencing biological impairment in the Chesapeake Bay watershed, USA Compilation of multi-agency specific conductance observations for streams within the Chesapeake Bay watershed Trends in annual peak streamflow quantiles for 2,683 U.S. Geological Survey streamgages in the conterminous United States Wild and Scenic Rivers 2018 Linked to the NHDPlusV2.1