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This content represents a compressed folder of the processed datasets for the waterborne resistivity profiling surveys of streams in the Mississippi Alluvial Plain. This file bundle contains 8 .csv tables, each representing raw data for an individual stream.
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...
USGS Historical Quadrangle in GeoPDF.
This content represents a compressed folder of the processed datasets for the waterborne resistivity profiling surveys of streams in the Mississippi Alluvial Plain. This file bundle contains 8 .csv tables, each representing processed data for an individual stream.
These data represent reproductive ecology characteristics for 4 species of mature female turtles captured at Elephant Butte Reservoir on the Rio Grande River in New Mexico, during two field survey periods in June 2012 and 2013. Data were collected on female reproductive ecology including clutch size, egg size, timing of egg production, and the percentage of reproductive females using X-radiography. The purpose of these data are to add to the deficient information on the reproductive ecology of four turtle species at the Elephant Butte Reservoir on the Rio Grande and Black River in New Mexico. Data contained in this worksheet were analyzed to determine clutch and egg sizes for four native species of turtles (Apalone...
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
USGS Historical Quadrangle in GeoPDF.
USGS Historical Quadrangle in GeoPDF.
USGS Historical Quadrangle in GeoPDF.
USGS Historical Quadrangle in GeoPDF.
USGS Historical Quadrangle in GeoPDF.
This Sediment Analysis dataset, a conceptual subgroup of the Lake Erie Ecological Investigations (LEEI) dataset, focuses on the sediments sampled at Areas of Concern (AOCs) on Lake Erie. Per the Quality Assurance Project Plan (QAPP), sediment collections were a composite of at least five randomly selected samples collected from each site. Per an internal summary report, sediment samples were collected using a stainless steel Eckman dredge. Analytical methods and QA/QC were directed by the Patuxent Analytical Control Facility (PACF) of the US Fish and Wildlife Service. Per Dora Passino-Reader, the Geochemical & Environmental Research Group at Texas A&M University, College Station performed the analytical chemistry...
This part of the data release contains historical streamflow data compiled from the literature and evaporation loss estimates used in the streamflow gain loss equation. These digital data accompany Houston, N.A., Thomas, J.V., Ging, P.B., Teeple, A.P., Pedraza, D.E., and Wallace, D.S., 2019, Pecos River Basin Salinity Assessment, Santa Rosa Lake, New Mexico to the Confluence of the Pecos River and the Rio Grande, Texas,2015: U.S. Geological Survey Scientific Investigations Report 2019-5071, https://doi.org/10.3133/sir20195071.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Andrews County,
Avalon Lake,
Black River,
Blue Hole,
Brantley Lake,
USGS Historical Quadrangle in GeoPDF.
The U.S. Geological Survey (USGS) in cooperation with the Little Rock District, U.S. Army Corps of Engineers conducted a bathymetric survey of the Black River from Clearwater Lake Dam near Piedmont, Missouri, to southern Butler County, Missouri, from June 16-19, 2020 and from June 22-24, 2020. One hundred and eight sites were surveyed at pre-established transect locations along a 45-mile reach at distances spaced from about 0.3 to 2 miles apart. River-channel cross sections were surveyed to determine water depths along each transect using an acoustic Doppler current profiler (ADCP). Positional location of the water-depth locations was obtained from a global positioning system receiver onboard the ADCP. Water-surface...
This Data Release contains various types of hydrologic and geologic data from the Pecos River Basin during1900–2015, including water-quality data compiled and synthesized from various sources (including data from water-quality samples collected by the USGS in 2015 from 26 sites), streamflow gain-loss data collected by the USGS in 2015 and historical streamflow gain-loss data compiled from the literature, the horizontal extent of and depth to the base of the 16 geologic and hydrogeologic units that underlie the study area, and geospatial data collected by the USGS. The data were used to complete a detailed salinity assessment of the Pecos River from Santa Rosa Lake, New Mexico to the Confluence of the Pecos River...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Andrews County,
Avalon Lake,
Black River,
Blue Hole,
Brantley Lake,
USGS Historical Quadrangle in GeoPDF.
This data set is a compilation of data from two sampling efforts (2010 and 2014), focused on determining the presence and distribution of organic contaminants throughout the United States portion of the Great Lakes watershed. Water-borne contaminants were monitored in 69 tributaries of the Great Lakes using semipermeable membrane devices (SPMDs), and polar organic chemical integrative samplers (POCIS). Analyses included 185 chemicals (143 detected) including polycyclic aromatic hydrocarbons (PAHs), legacy and current-use pesticides, polychlorinated biphenyls (PCBs), polybrominated diphenyl ether (PBDE) and organophosphate fire retardants, pharmaceuticals, fragrances, industrial chemicals, surfactants, and others.
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