U.S. Geological Survey - ScienceBase

XYZ files of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019

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...

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Bathymetry and Elevation, DEM, Duluth, Great Lakes, Hydroacoustic, All tags... LAS, Lake Superior, LiDAR, Southwestern Lake Superior, Superior, XYZ, bathymetry, digital elevation models, elevation, inlandWaters, lidar, limnology, sonar, Fewer tags

Chesapeake Bay Watershed 2011 Edition Land Cover Data Release

The US Geological Survey Chesapeake Bay Watershed Land Cover Data Series, 2011 edition, (CBLCD-e11) consists of Level I Land Cover data for the years 1984, 1992, 2001, 2006 and 2011. It consists of a series of five 8-bit unsigned integer raster data files of 30 meter spatial resolution in Albers Conic Equal Area projection, NAD83 datum. The 1984 – 2006 data layers were created by aggregating most Level II Anderson classes of the USGS CBLCD Land Cover Data Series released in 2010 (Irani and Claggett, 2010).

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: CBLCD, Chesapeak Bay watershed, Chesapeake Bay, Chesapeake Bay Program, Chesapeake Bay Watershed, All tags... Delaware, District of Columbia, Estuarine, Estuary, Impaired Waters, Land Change, Land Cover, Land Use, Land Use Change, Maryland, New York State, Pennsylvania, Virginia, West Virginia, environment, estuary, geoscientificInformation, inlandWaters, Fewer tags

Blood variable data for clinically normal and clinically abnormal Mojave Desert tortoises (Gopherus agassizii) in 2013

To improve our understanding of health and immune function in tortoises, we evaluated both standard blood diagnostic (body condition, hematologic, plasma biochemistry values, trace elements, plasma proteins, vitamin A levels) and gene transcription profiles in 21 adult tortoises (11 clinically abnormal; 10 clinically normal) from Clark County, NV, USA. Necropsy and histology evaluations from clinically abnormal tortoises revealed multiple physiological complications, with moderate to severe rhinitis or pneumonia being the primary cause of morbidity in all but one of the examined animals. Improved methods for health assessments are an important element of monitoring tortoise population recovery and can support the...

Categories: Data; Tags: Clark County, Nevada, Hidden Valley, USGS Science Data Catalog (SDC), biota, health

Monitoring Data for Willow Creek Lake, Nebraska, 2012–14—Lake Chemistry

Samples were collected from Willow Creek Lake approximately monthly during May through September by the Nebraska Department of Environmental Quality as a part of the Ambient Lake Monitoring Program since at least 1989. Lake samples were analyzed for several constituents, including nutrients and chlorophyll. Though several different station identification numbers have been used over the course of monitoring, the general location of sampling corresponds to the deep site referenced in Rus and others (2018).

Categories: Data; Tags: Willow Creek, Willow Creek Lake, algal blooms, nutrient content (water)

Percent canopy cover of conifers within Nevada and northeastern California sage-grouse habitat (2017)

This raster dataset depicts percent canopy cover derived from 1-m conifer classifications when aggregated to 30-m cells. Conifer features were classified from 2010, 2012, and 2013 NAIP Digital Ortho Quarter Quads (DOQQ) using the Feature Analyst 5.0 extension for ArcGIS 10.1. Tiles were organized and grouped by Nevada Department of Wildlife Population Management Unit (PMU) locations, plus a 10 km area beyond the PMU extent. Analysts visually identified conifers in the imagery using false color infrared settings and digitized multiple trees per tile as training locations for classification. After performing hierarchical learning and clutter removal with Feature Analyst to remove non-conifer features on output shapefiles,...

Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Biota, Conifers, Environment, Great Basin, Land cover, All tags... Trees, biota, environment, Fewer tags