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This dataset is comprised of three files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (LiDAR) data representing beach topography and sonar data representing near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The point data is the same as that in LAS (industry-standard binary format for storing large point clouds) files that were used to create a digital elevation model (DEM) of the approximately 5.9 square kilometer (2.3 square mile) surveyed area. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). Multi-beam sonar data were collected...
This dataset contains chemical and isotopic data from 39 produced water samples collected from sealed separators containing water from horizontal hydrocarbon wells in the lower Eagle Ford Group. The samples were collected from Lavaca and Gonzales counties, Texas in December, 2015. All wells had been in production for longer than 6 months and had produced more than 10,000 barrels (~160,000 liters) of water.
These data were compiled to evaluate the reproductive ecology of Agassiz's desert tortoises (Gopherus agassizzi) in the Sonoran Desert of California using two populations within Joshua Tree National Park, including five reproductive seasons that spanned 20 years (1997-1999, 2015-2016). Compared to their conspecifics inhabiting the Mojave Desert, the reproductive ecology of G. agassizii in the Sonoran Desert is understudied. Climatic variation between the two deserts can affect reproductive ecology, including fecundity and clutch phenology. Mature female tortoises (straight-line carapace length ≥ 20 cm) outfitted with radiotransmitters were located and X-radiographed approximately every 10-14 days during the reproductive...
Seventeen streamflow-gaging stations, operated by the U.S. Geological Survey and distributed across the Ouachita Mountains of Arkansas and Oklahoma were selected for analysis. Bed material sampling was conducted to obtain information on the particle-size distributions of the streambed materials and to determine the shapes of the individual particles comprising the streambeds. Information on stream-bed particle-size distribution was used to compute the potential rate of bed-load transport and is a parameter used in the Rosgen (Rosgen, 1996) stream reach classification system. Streambed-material particle sizes were measured using two methods. The first method was Wolman pebble counts conducted across the riffles...
Digital flood-inundation maps for a 9.5-mile reach of the Meramec River at Arnold, Missouri, were created by the U.S. Geological Survey (USGS) in cooperation with the United States Army Corps of Engineers, St. Louis Metropolitan Sewer District, Missouri Department of Transportation, Missouri American Water, Federal Emergency Management Agency Region 7, the City of Pacific, the City of Eureka, the City of Wildwood, and the City of Arnold. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage...
This data set includes WRTDS nutrient flux trend results and the values of daily streamflow trend results displayed in the Quantile-Kendall plots. For 1995-2015 nutrient trends, the method of generalized flow normalization (FNG) was used which explicitly addresses non-stationary streamflow conditions. For 2005-2015 nutrient trends, the WRTDS trend analyses used the method of stationary flow normalization (FNS) because streamflow nonstationarity is difficult to assess over this shorter duration time frame. The 1995-2015 annual nutrient trends were determined for all five nutrient parameters (TP, SRP, TN, NO23, TKN), and monthly trends were evaluated only for SRP. The 2005-2015 annual nutrient trends were determined...
This is a collaborative, two-part project to compile and analyze resource data to support WLCI efforts. Part 1 entails directing data synthesis and assessment activities to ensure that they will inform and support the WLCI LPDTs and Coordination Team in their conservation planning efforts, such as developing conservation priorities and strategies, identifying priority areas for conservation actions, evaluating and ranking conservation projects, and evaluating spatial and ecological relations between proposed habitat projects and WLCI priorities. In FY2014, we helped the Coordination Team complete the WLCI Conservation Action Plan and BLM’s annual report, and we provided maps and other materials to assist with ranking...
Link to Metadata. Abstract from metadata: This open-file report presents the results of the USGS Mineral Resources Program activity to compile a national-scale geologic map database to support national and regional level projects, including mineral resource and geo- environmental assessments. The only comprehensive sources of regional- and national-scale geologic maps are state geologic maps with scales ranging from 1:100,000 to 1:1,000,000. Digital versions of these state maps form the core of what is presented here. Because no adequate geologic map exists for the state of Alaska, it is being compiled in regional blocks that also form part of this national database. It is expected that this series will completed...
Categories: Data; Types: Map Service, OGC WMS Layer; Tags: physiographic
This is a background layer map service from NOAA's nowCOAST information depot. Note: details may only visible at fine scales (zoom in to view).
Categories: Data; Types: Map Service, OGC WMS Layer; Tags: infrastructure
An infrastructure for Data and Information Management is crucial for WLCI partners to effectively coordinate and maintain information resources, communicate and disseminate information to users on the WLCI Web site, and provide data-management tools for decision-making. The three primary tasks associated with this work are developing and maintaining a Data Management Framework and Clearinghouse for providing, managing, analyzing, and using information assembled or generated for the WLCI, a Science and Conservation Projects Database to access to the descriptive information and locations of (1) "on-the-ground" conservation projects managed by the WLCI CT and (2) science projects being conducted by USGS and other science-agency...
Geochemical data for soils collected in the United States and analyzed by the USGS. The data were originally entered into the in-house PLUTO database.
Categories: Web Site; Tags: soil
This dataset consists of measurements of the digestive gland in the freshwater snail Lymnaea stagnalis orally exposed to uranium. The objective of the study was to assess the morphological effects of uranium on the snail digestive gland by light microscopy. Laboratory-cultured L stagnalis were exposed to either synthetic or natural solid phases of uranium and a subset (6 controls and 6 exposed) were euthanized and fixed in 10% neutral buffered formalin for histopathological assessment. Slides were processed and stained with hematoxalin and eosin as per standard procedure (Luna 1968). The size of each sample, the length and width of digestive gland tubules (5 random glands per sample) and height of digestive cells...
The Muddy Creek watershed, part of the Upper Colorado River watershed, is a semi-arid catchment in a sagebrush steppe ecosystem. A synoptic watershed assessment was conducted in 2010 to identify areas within the watershed that are more susceptible to mobilization of trace elements that occur in soils forming on marine shale. Samples of soil, stream sediment, and water were collected and assayed for major elements and a suite of trace elements. Formation waters discharged from two wells within the watershed were sampled in 2011 to evaluate their potential contribution of organic carbon, nitrogen (N) species, and trace elements to surface waters. In FY2012, analyses of the soil, rock, and water samples collected...
Limits on the time and financial resources available for monitoring efforts, coupled with the complexities of natural resources and stakeholders, are challenges in resource monitoring. To help address these and related challenges, the USGS Monitoring Team (MT) has linked conceptual monitoring specialists with habitat and wildlife biologists to inform and develop creative, scientifically defensible approaches for monitoring the status and trends of populations and habitats across the WLCI region. This collaboration has led to spatially balanced monitoring designs that will make it possible to interpret conditions across the WLCI region and a mechanism for integrating species’ distributions and population responses...

map background search result map search result map WMS service from NOAA's nowCOAST (major roads layer) USGS Geologic Map of Colorado Application of Comprehensive Assessment to Support Decisionmaking and Conservation Actions Mt. St. Helens, WA M7.0 Elsinore Fault, Julian Section CA M7.1 ShakeOut 2008 CA Aftershock 4 M6.0 New Madrid-north section M7.1 Montreal, Canada M6.2 New Madrid Aftershock 1 M6.3 3) Streambed particle data Reproductive ecology data for female Agassiz's desert tortoises (Gopherus agassizii) in Joshua Tree National Park, USA Shapefiles of the flood-inundation maps for the Meramec River at Arnold, Missouri, 2018 Lake Erie Tributaries: Nutrient and streamflow trend results Chemical and isotopic composition of produced waters from the lower Eagle Ford Group, south-central Texas XYZ files of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 XYZ files of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 Shapefiles of the flood-inundation maps for the Meramec River at Arnold, Missouri, 2018 Reproductive ecology data for female Agassiz's desert tortoises (Gopherus agassizii) in Joshua Tree National Park, USA Lake Erie Tributaries: Nutrient and streamflow trend results Application of Comprehensive Assessment to Support Decisionmaking and Conservation Actions USGS Geologic Map of Colorado WMS service from NOAA's nowCOAST (major roads layer)