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Data presented are results of surveys in 2021 for San Diego Cactus Wren (Campylorhynchus brunneicapillus) in southern San Diego County. Surveys were conducted at 378 plots. Plots were surveyed twice in 2021 and the number, age (adult or juvenile), banding status (color banded or not), and breeding status (paired, unpaired, or unknown) of all wrens recorded. Habitat covariate data were collected including amount of dead and stressed cactus in the plot, percent cover of bare ground, and the dominant and percent cover of invasive species.
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Data presented are results of surveys in 2021 for Southwestern Willow Flycatcher (Empidonax traillii extimus) in San Diego County, California. Surveys were conducted at the 2016-19 nest monitoring locations (Cleveland National Forest, Rey River Ranch, and Vista Irrigation District) and at Lake Henshaw along the Upper San Luis Rey River. Surveys were conducted along multiple sections of the river where permission to access properties could be obtained. Locations were surveyed using a standardized protocol three to four times between 15 May and 31 July. The number, age (adult or juvenile), sex, banding status (color banded or not, and if so, color combination), and breeding status (paired, undetermined, or transient)...
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This data set consists of digital data describing wetlands and uplands habitats for the Mississippi Coastal Improvements Program (MsCIP) area, consisting of Cat, Ship, Horn and Petit Bois Islands for the year 2020. Wetlands were classified using the Cowardin, et al., wetlands classification scheme to the level of freshwater and tidal, salinity modifiers. Uplands were classified using a customized classification scheme which can be cross-referenced to Anderson, et. al. For this dataset, upland dunes were delineated as areas at or above 1.524 meters (5 feet) as determined in the Lidar data that was referenced without modification for this classification. With this elevation criteria some delineated upland dune features...
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Observations and subtle shifts of vegetation communities in western Lake Erie have USGS researchers concerned about the potential for Grass Carp to alter these vegetation communities. Broad-scale surveys of vegetation using remote sensing and GIS mapping, coupled with on-the-ground samples in key locations will permit assessment of the effect Grass Carp may have already had on aquatic vegetation communities and establish baseline conditions for assessing future effects. Existing aerial imagery was used with object-based image analysis to detect and map aquatic vegetation in the western basin of Lake Erie.
These datasets were developed to represent the genetic diversity, population structure, and geographic distribution of Plantago ovata in the Mojave Desert. This data release consists of two tab-delimited text files representing the genetic diversity and structure of Plantago ovata (.genepop and .vcf), and two raster spatial datasets (GeoTIFF) reflecting predicted habitat for the species within the Mojave Desert. The genetic datasets record genetic variation at an individual level, with the file structures varying based on the programs within which the files are intended to be edited. Each file contains 13,111 SNPs genotyped in 748 individuals. The genepop file can be viewed in GENEPOP software (Rousset 2008) or...
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Shapefile created by USGS. Channel transects were constructed to be used in evaluating channel widths and channel width variation. Transects were laid out at 0.1 mile intervals along the navigation channel thalweg. They extend perpendicular to thalweg and intersect the bankfull channel margin, delineated from low-altitude aerial orthophotos provided by the US Army Corps of Engineers, 11/1/2012 to 11/21/2012. The bankfull dimensions were digitized by hand. Each transect was additionally attributed with the USGS bend number, Pallid Sturgeon Population Assessment Program (PSPAP) segment number, and PSPAP bend number.
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This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.
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Data presented are results of surveys in 2020 for Southwestern Willow Flycatcher (Empidonax traillii extimus) in San Diego County, California. Surveys were conducted at the 2016-19 nest monitoring locations (Cleveland National Forest, Rey River Ranch, and Vista Irrigation District) and at Lake Henshaw along the Upper San Luis Rey River. Surveys were conducted along multiple sections of the river where permission to access properties could be obtained. Locations were surveyed using a standardized protocol three to four times between 15 May and 31 July. The number, age (adult or juvenile), sex, banding status (color banded or not, and if so, color combination), and breeding status (paired, undetermined, or transient)...
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Data presented are results of surveys in 2022 for Southwestern Willow Flycatcher (Empidonax traillii extimus) in San Diego County, California. Surveys were conducted at the 2016-19 nest monitoring locations (Cleveland National Forest, Rey River Ranch, and Vista Irrigation District) and at Lake Henshaw along the Upper San Luis Rey River. Surveys were conducted along multiple sections of the river where permission to access properties could be obtained. Locations were surveyed using a standardized protocol three to four times between 15 May and 31 July. The number, age (adult or juvenile), sex, banding status (color banded or not, and if so, color combination), and breeding status (paired, undetermined, or transient)...
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This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.
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This part of DS 781 presents data for the habitat map of the seafloor of the Offshore of Santa Cruz map area, California. The vector data file is included in "Habitat_OffshoreSantaCruz.zip," which is accessible from https://doi.org/10.5066/F7TM785G. These data accompany the pamphlet and map sheets of Cochrane, G.R., Dartnell, P., Johnson, S.Y., Erdey, M.D., Golden, N.E., Greene, H.G., Dieter, B.E., Hartwell, S.R., Ritchie, A.C., Finlayson, D.P., Endris, C.A., Watt, J.T., Davenport, C.W., Sliter, R.W., Maier, K.L., and Krigsman, L.M. (G.R. Cochrane and S.A. Cochran, eds.), 2016, California State Waters Map Series—Offshore of Santa Cruz, California: U.S. Geological Survey Open-File Report 2016-1024, pamphlet 40 p.,...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: CMHRP, Coastal and Marine Hazards and Resources Program, Continental/Island Shelf, Fisheries, Marine Nearshore Subtidal, All tags...
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Shapefile created by USGS. This is a polygon created from Landsat TM imagery. All Landsat 4-5 TM images overlapping the Missouri River downstream from Gavins Point Dam were identified and examined for lack of clouds. Usable images were classified into sand, vegetation, and water. Classified images were then merged, and the number of times a given pixel was classified as either sand, vegetation, or water were computed. The presented dataset represents pixels which were classified as sand in greater than 5% of images which were collected during a growing season defined as julian day 116-296 (to preclude vegetated islands, which classify as sand outside of foliation), translated into polygons.
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The Land Cover Data - Version 1.0 represents a highly thematically detailed land cover map of the U.S. The map legend includes types described by NatureServe's Ecological Systems Classification (Comer et al. 2002) as well as land use classes described in the National Land Cover Dataset 2001 (Homer et al. 2007). This version of the land cover data was used to support the Gap Analysis Project's vertebrate species modeling efforts. These data cover the entire continental U.S. and are a continuous data layer. These raster data have a 30 m x 30 m cell resolution. This land cover data set is considered official foundational data for the GAP species modeling process. The data have been made available provisionally to enhance...
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Data presented are results of surveys (2015) and monitoring (2015 and 2016) for San Diego Cactus Wren (Campylorhynchus brunneicapillus) in southern San Diego County. Surveys were conducted at 35 plots. Plots were surveyed twice in 2015 and the number, age (adult or juvenile), banding status (color banded or not), breeding status (paired, unpaired, or unknown), and nesting status (active nest detected or not) of all wrens recorded. Habitat covariate data were collected including amount of dead and stressed cactus in the plot, percent cover of bare ground, and the dominant and percent cover of invasive species. During weekly monitoring visits, nests were located and checked to determine the number of eggs laid, the...
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Data presented are results of surveys and monitoring in 2018 for San Diego Cactus Wren (Campylorhynchus brunneicapillus) in southern San Diego County. Surveys were conducted at 362 plots. Plots were surveyed twice in 2018 and the number, age (adult or juvenile), banding status (color banded or not), breeding status (paired, unpaired, or unknown), and nesting status (active nest detected or not) of all wrens recorded. Habitat covariate data were collected including amount of dead and stressed cactus in the plot, percent cover of bare ground, and the dominant and percent cover of invasive species. During weekly monitoring visits, nests were located and checked to determine the number of eggs laid, the number of eggs...
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Estuary geomorphic units delineated at a scale of 1:1500 using a combination of (a) 28 August 2014 0.15 meter resolution NPS Elwha PlaneCam aerial imagery; and (b) elevation-colored and hillshaded digital elevation models from USGS backpack/jetski topobathy surveys (5-8 September 2014) for areas < MHHW and aerial lidar surveys (7 November 2014) supplemented with NPS Elwha PlaneCam SfM photogrammetry data (30 September 2014) for elevations > MHHW.
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Estuary geomorphic units delineated at a scale of 1:1500 using a combination of (a) 11 September 2009 1 meter resolution NAIP aerial imagery; and (b) elevation-colored and hillshaded digital elevation models from USGS backpack/jetski topobathy surveys (17 September 2009) for areas < MHHW and aerial lidar surveys (4-6 April 2009) for elevations > MHHW.


map background search result map search result map USGS Gap Analysis Project - Additional Data – National Gap Land Cover Ver 1.0 (2001) Habitat--Offshore Santa Cruz, California Connecting River Systems Restoration Assessment Dikes Western Lake Erie Restoration Assessment Dikes Geomorphic habitat units derived from 2009 aerial imagery and elevation data for the Elwha River estuary, Washington Geomorphic habitat units derived from 2014 aerial imagery and elevation data for the Elwha River estuary, Washington Vegetation habitat units derived from 2009 aerial imagery and field data for the Elwha River estuary, Washington Vegetation habitat units derived from 2013 aerial imagery and field data for the Elwha River estuary, Washington Vegetation habitat units derived from 2014 aerial imagery and field data for the Elwha River estuary, Washington Lake Erie, Western Basin Aquatic Vegetation data Bankfull channel transects, Lower Missouri River Persistent sand polygons, Lower Missouri River Genetic and Habitat Data for Plantago ovata in the Mojave Desert February 2020 National Wetlands Inventory, Mississippi Barrier Islands Habitat Classification: (Cat Island, Ship Island, Petit Bois Island and Horn Island) Surveys and Monitoring of Coastal Cactus Wren in Southern San Diego County, 2015-2016 Surveys and Monitoring of Coastal Cactus Wren in Southern San Diego County, 2018 Surveys and Monitoring of Coastal Cactus Wren in Southern San Diego County, 2021 Southwestern Willow Flycatcher (Empidonax traillii extimus) Surveys in San Diego County, California, 2020 Southwestern Willow Flycatcher (Empidonax traillii extimus) Surveys in San Diego County, California, 2021 Southwestern Willow Flycatcher (Empidonax traillii extimus) Surveys in San Diego County, California, 2022 Vegetation habitat units derived from 2013 aerial imagery and field data for the Elwha River estuary, Washington Vegetation habitat units derived from 2014 aerial imagery and field data for the Elwha River estuary, Washington Vegetation habitat units derived from 2009 aerial imagery and field data for the Elwha River estuary, Washington Geomorphic habitat units derived from 2009 aerial imagery and elevation data for the Elwha River estuary, Washington Geomorphic habitat units derived from 2014 aerial imagery and elevation data for the Elwha River estuary, Washington Southwestern Willow Flycatcher (Empidonax traillii extimus) Surveys in San Diego County, California, 2020 Southwestern Willow Flycatcher (Empidonax traillii extimus) Surveys in San Diego County, California, 2021 Southwestern Willow Flycatcher (Empidonax traillii extimus) Surveys in San Diego County, California, 2022 Habitat--Offshore Santa Cruz, California Surveys and Monitoring of Coastal Cactus Wren in Southern San Diego County, 2015-2016 Surveys and Monitoring of Coastal Cactus Wren in Southern San Diego County, 2018 Surveys and Monitoring of Coastal Cactus Wren in Southern San Diego County, 2021 Connecting River Systems Restoration Assessment Dikes Lake Erie, Western Basin Aquatic Vegetation data Western Lake Erie Restoration Assessment Dikes Genetic and Habitat Data for Plantago ovata in the Mojave Desert Persistent sand polygons, Lower Missouri River Bankfull channel transects, Lower Missouri River USGS Gap Analysis Project - Additional Data – National Gap Land Cover Ver 1.0 (2001)